From 8bec794bdce8176dd38c49ec6f96e0fbc732e12b Mon Sep 17 00:00:00 2001
From: Maxence Larrieu <m@larri.eu>
Date: Mon, 18 Dec 2023 14:39:52 +0100
Subject: [PATCH] improve datacite.py
---
0-collect-data/datacite-dois.txt | 1387 +++++-----
0-collect-data/datacite.py | 89 +-
2-produce-graph/hist--datasets-by-year.png | Bin 24636 -> 26257 bytes
2-produce-graph/hist-quantity-by-year.py | 2 +-
2-produce-graph/pie--datacite-client.png | Bin 36993 -> 37035 bytes
README.md | 2 +-
dois-uga.csv | 2848 ++++++++++----------
7 files changed, 2179 insertions(+), 2149 deletions(-)
diff --git a/0-collect-data/datacite-dois.txt b/0-collect-data/datacite-dois.txt
index 171cffe..9b98863 100644
--- a/0-collect-data/datacite-dois.txt
+++ b/0-collect-data/datacite-dois.txt
@@ -1,729 +1,730 @@
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diff --git a/0-collect-data/datacite.py b/0-collect-data/datacite.py
index f407f3e..1e44d66 100644
--- a/0-collect-data/datacite.py
+++ b/0-collect-data/datacite.py
@@ -1,37 +1,48 @@
# récupérer les DOIs de l'UGA depuis Datacite
-## 2023-12-01, Elias Chetouane
+## 2023-12-01, Elias Chetouane, Maxence Larrieu
"""
-## todo
-- v2 : périmètre UGA : ajouter les ROR des unités, des établissements/laboratoires associés (eg Grenoble INP, sciencepo grenoble)
## Documentation
-* Doc générale API Datacite : https://support.datacite.org/docs/api
+* Doc générale API : https://support.datacite.org/docs/api
* Recherche d'un DOI : https://support.datacite.org/docs/api-sampling
* Pagination : https://support.datacite.org/docs/pagination
+> "DataCite added support for affiliation identifiers in Metadata Schema 4.3, released August 2019"
+https://support.datacite.org/docs/can-i-see-more-detailed-affiliation-information-in-the-rest-api
-## memo sur les requêtes
-client_id=inist.OSUG datasets de l'OSUG https://doi.osug.fr/
-client_id=JBRU.AAU le laboratoire AAU (architecture)
-client_id=inist.persyval données issues du Labex Persyval-lab (PIA)
+* pour descendre au niveau des auteurs
+le filtre `?person-id=orcid-nb`
"""
-import requests
-
-urls = [
- 'https://api.datacite.org/dois?affiliation=true&query=creators.affiliation.affiliationIdentifier:"https://ror.org/02rx3b187"&page[size]=100',
- 'https://api.datacite.org/dois?affiliation=true&query=contributors.affiliation.affiliationIdentifier:"https://ror.org/02rx3b187"&page[size]=100',
- "https://api.datacite.org/dois?client_id=inist.OSUG&page[size]=100",
- "https://api.datacite.org/dois?client_id=JBRU.AAU&page[size]=100",
- "https://api.datacite.org/dois?client_id=inist.persyval&page[size]=100"
+query_mode = [
+ 'creators.affiliation.affiliationIdentifier:"https://ror.org/02rx3b187"',
+ 'contributors.affiliation.affiliationIdentifier:"https://ror.org/02rx3b187"',
+ "publisher:(grenoble AND alpes)", # /!\ apporte du text
+ "client_id:inist.osug", # OSUG https://doi.osug.fr/
+ "client_id:jbru.aau", # le laboratoire AAU (architecture) /!\ apporte du text
+ "client_id:inist.persyval" # Labex Persyval-lab (PIA)
# possibilité d'ajouter d'autres requêtes
]
-# on définit une fonction pour la lancer la requete avec chaque url pour les différentes affiliations et clients
-def get_results(url):
- req = requests.get(url)
+def get_results(query_from_list):
+ """
+ lance les requêtes dans l'API
+ """
+
+ query_root = "https://api.datacite.org/dois?query="
+
+ # les type de datasets à exclure (à voir si on retire text)
+ # nb : en 2023-12-15 ça retire seulement 15 DOIs
+ query_filter_type = " AND resource_type_id:(-book -bookChapter -conferencePaper -conferenceProceeding -dissertation -event -journal -journalArticle -peerReview -preprint -report -service)"
+
+ query_page = "&page[size]=100"
+
+ req = requests.get(query_root + query_from_list + query_filter_type + query_page)
results = [req.json()]
+ # print total dataset per query
+ print(f"\n\t{req.url}\n\t{results[0]['meta']['total']}")
+
# obtenir les résultats de chaque page dans la liste results
nb_pages = results[0]["meta"]["totalPages"]
page = 1
@@ -42,8 +53,12 @@ def get_results(url):
page += 1
return results
-# on crée une fonction pour ajouter les DOIs dans une liste, sans ajouter les résultats qui ne sont pas des DOIs
+
def get_dois(results):
+ """
+ Ajouter les datasets avec DOI dans une liste et identifier ceux sans DOI
+ """
+
dois = []
not_dois = []
@@ -52,31 +67,39 @@ def get_dois(results):
num_dois = res["data"]
for item in num_dois :
- doi = item["id"]
+ item_id = item["id"]
+
+ # si le dataset a autre chose qu'un DOI
if item.get("type") != "dois":
- print("Le résultat " + str(item) + " est de type " + item.get("type") + " : " + doi)
- not_dois.append(doi)
+ not_dois.append(item_id)
else:
- dois.append(doi)
+ dois.append(item_id)
+
return dois, not_dois
-# récupérer les dois
-dois = []
-not_dois = []
-for url in urls:
- doi, not_doi = get_dois(get_results(url))
+# _____0____ récupérer les dois
+import requests
+dois, not_dois = [], []
+
+
+for query in query_mode:
+ doi, not_doi = get_dois(get_results(query))
dois += doi
not_dois += not_doi
-# supprimer les doublons
-unique_dois = list(set(dois))
+if not_doi :
+ print("Des données avec un autre identifiant que le DOI ont été trouvées")
+ [print(f"\t\t{item_id}") for item_id in not_doi]
-print(f"Nombre de dois différents trouvés\t{len(unique_dois)}")
+
+# _____n____ remove duplicates in DOI list
+unique_dois = list(set(dois))
+print(f"Nb unique DOI\t{len(unique_dois)}")
-# exporter la liste de DOI au format txt
+# _____z____ exporter liste DOI format txt
with open("datacite-dois.txt", 'w') as f :
[f.write(f"{line}\n") for line in unique_dois]
diff --git a/2-produce-graph/hist--datasets-by-year.png b/2-produce-graph/hist--datasets-by-year.png
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diff --git a/2-produce-graph/hist-quantity-by-year.py b/2-produce-graph/hist-quantity-by-year.py
index c595bf0..0469510 100644
--- a/2-produce-graph/hist-quantity-by-year.py
+++ b/2-produce-graph/hist-quantity-by-year.py
@@ -31,7 +31,7 @@ ax.spines['top'].set_visible(False)
ax.spines['right'].set_visible(False)
ax.set_ylabel("number of datasets", labelpad = 10)
-plt.title(f"Number of datasets by year", fontsize = 22, x = 0.5, y = 1.03, alpha = 0.6)
+plt.title(f"Number of datasets with a DataCite DOI by year", fontsize = 18, x = 0.5, y = 1.05, alpha = 0.6)
plt.suptitle(f"n = {len(df)}", fontsize = 12, x = 0.5, y = 0.9, alpha = 0.6)
plt.savefig("hist--datasets-by-year.png")
diff --git a/2-produce-graph/pie--datacite-client.png b/2-produce-graph/pie--datacite-client.png
index 0d646c50236f858120f5610a42eb1f396bdb32c1..8a6c0f3651d9dcfe7b5d247791fcefcc4ee47e14 100644
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zL17^)1;4v0;D;2b2z~<{^Uvg@%-NL&oOUcKG&FD4zgN-G&~$OGVEzBU|37#Hx-QXN
XueIXc=Si1FgTEw1Wkm9Xbl?9kO=zCk
diff --git a/README.md b/README.md
index a31742b..21a0d20 100644
--- a/README.md
+++ b/README.md
@@ -18,7 +18,7 @@ _in process_
| |Dataset numbers| UGA perimeter |
|-----------|---------------|---------------|
|RDG |51 |contact, auteurs, producteur et contributeurs avec "UGA" OR "Grenoble" |
-|DataCite |294| creator et contributor avec ROR + clients |
+|DataCite |730| creator et contributor avec ROR + clients |
|Zenodo |1027|creator et contributor avec "grenoble" |
|Nakala |26 |UGA user identifiers |
|BSO via HAL|32 |NA |
diff --git a/dois-uga.csv b/dois-uga.csv
index 7cd8fb1..2891642 100644
--- a/dois-uga.csv
+++ b/dois-uga.csv
@@ -2063,474 +2063,30 @@ The dataset contains finally the data measured in situ to compare with the data
10.5281/zenodo.6104368,Unique and shared effects of local and catchment predictors over distribution of hyporheic organisms: does the valley rule the stream?,Zenodo,2022,,Software,"MIT License,Open Access","This dataset describe the distribution of two hyporheic crustacean taxa (Bogidiellidae, Amphipoda and Anthuridae, Isopoda) in streams of New Caledonia. We sampled the two taxa at 228 sites. At each site, we quantified nine local predictors related to habitat area and stability, sediment metabolism and water origin, and eight catchment predictors related to geology, area, primary productivity, land use and specific discharge.",mds,True,findable,0,0,0,0,0,2022-02-17T19:47:15.000Z,2022-02-17T19:47:16.000Z,cern.zenodo,cern,"spatial scale,hyporheic zone,subterranean crustaceans,New Caledonia,Bogidiellidae,Amphipoda,Anthuridae,Isopoda,local,catchment","[{'subject': 'spatial scale'}, {'subject': 'hyporheic zone'}, {'subject': 'subterranean crustaceans'}, {'subject': 'New Caledonia'}, {'subject': 'Bogidiellidae'}, {'subject': 'Amphipoda'}, {'subject': 'Anthuridae'}, {'subject': 'Isopoda'}, {'subject': 'local'}, {'subject': 'catchment'}]",,
10.57745/ywbdqq,"Transcriptions des brouillons du roman ""La Réticence"" de Jean-Philippe Toussaint",Recherche Data Gouv,2022,,Dataset,,"Les brouillons tapuscrits et annotés de la Réticence (Jean-Philippe Toussaint, Éditions de minuit, 1991) ont été confié par leur auteur à l’UMR Litt (UMR 5316 – Arts et pratiques du texte, de l’image, de l’écran et de la scène – Université Grenoble Alpes / CNRS), sous la responsabilité scientifique de Brigitte Ferrato-Combe. Réunissant la totalité des documents préparatoires du roman, depuis les premières notes jusqu’aux épreuves et correspondances avec l’éditeur, ce fonds d’archives se révèle particulièrement intéressant pour les études littéraires, stylistiques ou génétiques. Ces brouillons ont été numérisés par le Service Interuniversitaire de Documentation de l’Université Grenoble Alpes où ils ont été momentanément conservés, et font l’objet d’une transcription sur la plateforme collaborative TACT, opération indispensable pour leur donner une pleine lisibilité et permettre les analyses ou recherches automatiques sur le texte. Le schéma de transcription a été élaboré à partir d’XML-TEI avec des choix de balisage assez simples, qui pourront être enrichis ultérieurement. La transcription reproduit à l’identique le texte tapuscrit, en respectant la mise en page (alinéas, retours à la ligne, saut de ligne). Les erreurs éventuelles (orthographe, syntaxe, ponctuation, fautes de frappe) ne sont pas corrigées. Les annotations manuscrites, très nombreuses, sont déchiffrées (dans la limite de la lisibilité) et transcrites, avec un code couleur et une police de caractère permettant de les distinguer du texte tapé. Leur situation dans la page n’est pas reproduite à l’identique ; la diversité des emplacements a été réduite à deux cas de figure : Les ajouts dont l’emplacement dans le texte est clairement défini sur le brouillon sont transcrits au point d’insertion au-dessus du texte tapé (même lorsque leur longueur a contraint l’auteur à les écrire en marge et à les relier par une flèche) Les annotations marginales dont l’emplacement dans le texte n’est pas précisé sont transcrites en bas de la page. Le balisage a été limité à trois fonctions essentielles : Structuration du texte : identification du numéro figurant sur le feuillet, délimitation des paragraphes. Description précise des ratures, déplacements, soulignements, mises en relief, ajouts manuscrits.. Repérage des entités nommées : noms propres de personne ou de lieu (Biaggi, Sasuelo, etc.) noms communs correspondants à des personnages du texte (l’enfant, le chat, l’hôtelier, le pêcheur, etc. ). Les numérisations des fac-simile sont disponibles sur l’entrepôt Nakala, porté par la TGIR TGIR Huma-Num (lien vers l’entrepôt) La ressource contient aussi les feuilles de transformation XSLT qui permettent de transformer la transcription XML en HTML. Elle sont utilisées pour construire le site qui expose les fac-similés et leur transcription (exemple) ainsi que des expérimentations (exemple).",mds,True,findable,251,32,0,0,0,2022-06-22T12:23:30.000Z,2022-07-08T09:02:24.000Z,rdg.prod,rdg,,,,
10.5281/zenodo.1462854,The Fharvard corpus,Zenodo,2018,fr,Audiovisual,"Creative Commons Attribution 4.0 International,Open Access","The Fharvard corpus is a collection of 700 sentences in French, phonetically balanced into 70 lists of 10 sentences each. Each sentence contains 5 keywords for scoring. A detailed presentation and evaluation of this dataset can be found at: https://doi.org/10.1016/j.specom.2020.07.004 The list of sentences is contained in the file <strong>The Fharvard corpus.pdf</strong> with keywords in bold. The phonetic transcription is provided in <strong>The Fharvard corpus - phonetic.txt</strong>. The <em>ortho</em> column contains the orthographic representation of the sentence with keywords in capital letters. The <em>phono</em> column contains the phonetic representation in SAMPA coding, with words separated by two successive space characters. Note that the phonetic representation is provided on an individual word basis, that is, discarding word-to-word liaisons. This is to provide an unambiguous basis for phonetic balancing at the keyword level, as the realisation of some liaisons can vary from talker to talker. Audio recordings of the Fharvard sentences spoken by a female and a male talker are contained in the .zip archive files, and available with a 44.1 kHz and 16 kHz sampling rate. A sample sentence for the female and the male talker is also attached.",mds,True,findable,0,0,0,0,0,2018-10-30T15:23:07.000Z,2018-10-30T15:23:08.000Z,cern.zenodo,cern,"French,Speech in Noise,Speech Intelligibility","[{'subject': 'French'}, {'subject': 'Speech in Noise'}, {'subject': 'Speech Intelligibility'}]",,
-10.5281/zenodo.8314813,"Supplementary data for ""Ecological assessment of combined sewer overflow management practices through the analysis of benthic and hyporheic sediment bacterial assemblages of an intermittent stream""",Zenodo,2022,en,Dataset,"Creative Commons Attribution 4.0 International,Embargoed Access","<strong>Supplementary data for the Pozzi <em>et al.</em> paper entitled ""Ecological assessment of combined sewer overflow management practices through the analysis of benthic and hyporheic microbial assemblages and a tracking of exogenous bacterial taxa in a peri-urban intermittent stream"".</strong> # Created by Dr Adrien C. MEYNIER POZZI on June, 29th, 2023<br> # Part of DOmic research project funded by the Agence de l’Eau - Rhône Méditerranée Corse [AE-RMC, Project 2020 0702 DOmic, 2020-2023], and of the DOmic extension funded by the EUR H2O'Lyon [ANR-17-EURE-0018] of Université de Lyon<br> # Part of the Chaudanne river long-term experiment site belonging to the Observatoire de Terrain en Hydrologie Urbaine (OTHU)<br> # Part of the work conducted in the team on Opportinistic Bacterial Pathogen in the Environment (BPOE) led by Dr. Benoit Cournoyer<br> # Samples were obtained in 2 campaigns, corresponding to periods before (2010-2011) or after (2018) the implementation of the 91/271/EEC European Directive that limited Combined-Sewer Overflow (CSO) discharges to the Chaudanne river<br> # Samples consisted in surface water, benthic and hyporheic sediments taken in run, riffle and pool geomorphologic features, either upstream or downstream the CSO outlet, plus positive and negative controls <strong>Metadata. Name and description of data tables provided as supplementary information</strong> <strong>Data Name</strong> <strong>Description</strong> Data S1. River hydrology variables and hydraulic gradients at surveyed transects Array to describe the hydrologic variables and gradients at the studied transects. Top line is header, second line is metadata for each recorded variable, and third line is the unit of the variable, if any. Data S2. Environmental variables (water physical-chemistry, nutrients, FIBs, MTEs, PAHs) with metadata An array to list environmental variables for all true samples (n=90) included in the study. Sample identifiers and dates are provided. First 8 rows list the CAS number, SANDRE number, unit, method, limit of quantification and norm for each variable, if any. Data S3. Hydrological indices and synthetic variables computed with ClustOfVar Hydrological indices computed for the river flow, precipitations and CSO overflows computed over a 3-week period preceding each sampling date. Data S4. Discharge events selected to compute CSO dilution ratios An array to describe CSO events included for the computation of the CSO dilution ratio (SI Data 6A) together with 6 tables and 3 figures (SI Data 6B to 6J) describing the CSO event ratio all year round over the studied period, as well as for events that occurred before or after the CSO was modified and during low flow or high flow season. In SI Data 6A, top line is header and second line is metadata for each recorded variable. Data S5. Raw environmental matrix for use in R An array to list experimental design and environmental variables for all true samples and controls. Several environmental variables were synthetized using the ClustOfVar method (Chavent et al (2012) 10.18637/jss.v050.i13). Format is directly usable in R software.",mds,True,findable,0,0,0,0,0,2023-09-04T10:16:14.000Z,2023-09-04T10:16:14.000Z,cern.zenodo,cern,"intermittent stream,fluvial geomorphology,hydrology,microbiology,chemical pollutants,Combined-Sewer Overflow","[{'subject': 'intermittent stream'}, {'subject': 'fluvial geomorphology'}, {'subject': 'hydrology'}, {'subject': 'microbiology'}, {'subject': 'chemical pollutants'}, {'subject': 'Combined-Sewer Overflow'}]",,
-10.5281/zenodo.10080490,PxCorpus : A Spoken Drug Prescription Dataset in French for Spoken Language Understanding and Dialogue,Zenodo,2023,fr,Audiovisual,Creative Commons Attribution 4.0 International,"PxCorpus : A Spoken Drug Prescription Dataset in French
-Â
-PxCorpus is to the best of our knowledge, the first spoken medical drug prescriptions corpus to be distributed.
-It contains 4 hours of transcribed and annotated dialogues of drug prescriptions in French acquired through an experiment with 55 participants experts and non-experts  in drug prescriptions.
-Â
-The automatic transcriptions were verified by human effort and aligned with semantic labels to allow training of NLP models. The data acquisition protocol was reviewed by medical experts and permit free distribution without breach of privacy and regulation.
-Â
-Overview of the Corpus
-The experiment has been performed in wild conditions with naive participants and medical experts.
-In total, the dataset includes 2067 recordings of 55 participants (38% non-experts, 25% doctors, 36% medical practitioners), manually transcribed and semantically annotated.
-Â
-| Category       | Sessions | Recordings | Time(m)|
-|-----------------------| ------------- | --------------- | ----------- |
-| Medical experts  |   258    |    434    |   94.83  |
-| Doctors        |   230    |    570    |  105.21  |
-| Non experts     |   415    |    977    |   62.13  |
-| Total          |   903    |    1981    |  262.27  |
-Â
-License
-We hope that that the community will be able to benefit from the dataset which is distributed with an attribution 4.0 International (CC BY 4.0) Creative Commons licence.
-Â
-How to cite this corpus
-Â
-If you use the corpus or need more details please refer to the following paper: A spoken drug prescription datset in French for spoken Language Understanding
-Â
-@InProceedings{Kocabiyikoglu2022,
- author =  ""Alican Kocabiyikoglu and Fran{\c c}ois Portet and Prudence Gibert and Hervé Blanchon and Jean-Marc Babouchkine and Gaëtan Gavazzi"",
-Â title = Â ""A spoken drug prescription datset in French for spoken Language Understanding"",
-Â booktitle = Â ""13th Language Ressources and Evaluation Conference (LREC 2022)"",
-Â year = Â ""2022"",
-Â location = Â ""Marseille, France""
-}
-a more complete description of the corpus acquisition is available on arxivÂ
-@misc{kocabiyikoglu2023spoken,
-Â Â Â title={Spoken Dialogue System for Medical Prescription Acquisition on Smartphone: Development, Corpus and Evaluation},
-   author={Ali Can Kocabiyikoglu and François Portet and Jean-Marc Babouchkine and Prudence Gibert and Hervé Blanchon and Gaëtan Gavazzi},
-Â Â Â year={2023},
-Â Â Â eprint={2311.03510},
-Â Â Â archivePrefix={arXiv},
-Â Â Â primaryClass={cs.CL}
-}
-Â
-Project Structure
-Â
-The project contains the following elements
-.
-├── LICENSE
-├── PxDialogue/
-├── PxSLU/
-├── readme.md
-Â
-PxSLU : Prescription Corpus for Spoken Language Understanding
-Â
-Directory Structure
-.
-├── LICENSE
-├── metadata.txt
-├── paths.txt
-├── PxSLU_conll.txt
-├── readme.md
-├── recordings
-├── seq.in
-├── seq.label
-├── seq.out
-├── Demo.ipynb
-└── verifications.py
-Â
-Recordings
-Â
-The recordings directory contains the 903 recording sessions. Each session can contain several recordings. For instance,
-the directory
-Â Â recordings/J7aVvWb67L
-contains the records  Â
-  recording_0.wav  recording_2.wav
-which represent two attempts to record a drug prescription
-Â
-All records are stored as mono channel wav files of 16kHz 16bits signed PCM
-Â
-Paths
-Â
-contains the list of all the .wav files in the recordings directory
-00MYcyVK0t/recording_0.wav
-00MYcyVK0t/recording_2.wav
-02Qp6ICj9Q/recording_0.wav
-02Qp6ICj9Q/recording_1.wav
-...
-Â
-All other files (metadata.txt, seq.*) refer to this list to describe the recording.
-Â
-Metadata
-Â
-contains the information about the participants:
-Â
-48,60+,F,non-expert
-48,60+,F,non-expert
-24,18–28,F,doctor
-24,18–28,F,doctor
-...
-Â
-The first column is the participant unique id, the second is the age range, the third is the gender and the final is the category of the participant in {doctor,expert, non-expert}. doctor correspond to a physician, (other)expert to a pharmacist or a biologist specialized in drugs while non-expert are other people not entering in these categories. The lines are synchronised with the paths.txt lines.
-Â
-Labels
-Â
-the three files seq.label, seq.in, seq.out represent respectivly the intent, the transcript and the entities in BIO format.
-Â
-   seq.label        |         seq.in                 |               seq.out
-medical_prescription | flagyl 500 milligrammes euh qu/ en... | B-drug B-d_dos_val B-d_dos_up O O ...
-medical_prescription |  3 comprimés par jour matin midi ...  | B-dos_val B-dos_uf O O B-rhythm_tdte B-rhythm_tdte O B-rhythm_tdte ...
-Â Â Â Â Â Â Â ... Â Â Â Â Â Â Â Â | Â Â Â Â Â Â Â Â Â Â Â Â Â Â ... Â Â Â Â Â Â Â Â Â Â Â Â Â Â | Â Â Â Â Â Â Â Â Â Â Â Â Â Â ...
-Â
-These lines are synchronised with the paths.txt lines.
-Â
-Another file ""PxSLU_conll.txt"" is provided in a format inspired by the conll format (https://universaldependencies.org/format.html). However, this one is *not* aligned with the acoustic records file paths.txt.
-Â
-Scripts
-Â
-verifications.py performs the checking of the alignement of all the seq.* paths.txt and metadata files. A user of the dataset does not need to use this script unless she plan to extend the datasets with her own data.
-Demo.ipynb is a jupyter notebook that a user can run to search through the dataset. It is intended to let the user have a quicker and smoother view on the dataset.
-Â
-Â
-Data splits
-In the data_splits folder, you can find a data split of this dataset organized as following:
-- train.txt: medical experts + non experts (80%) = 1128 samples
-- dev.txt: medical experts + non experts (20%) = 283 samples
-- test.txt: doctors (100%) = 570 samples
-Â
-Each file contains references to line numbers of the corpus. For example, first line of the test.txt is 904, seq.in file contains the utterance ""nicopatch"". Users can access the labels, slots, metadata using the same line number 904 in the parallel files (paths.txt,seq.out,seq.label,...).
-Â
-PxDialogue : Prescription recording corpus for dialogue systems
-Â
-PxDialogue corpus comes as an extension of the PxSLU corpus and provides additional information about the dialogues that was collected through spoken dialogue. This corpus includes two additional files:
-├── events.txt
-├── dialogue_annotations.txt
-Â
-Â
-Events.txt:
-Â
-For each dialogue session, all dialogue events are given in this text file
-which can be used to train/evaluate dialogue systems.
-Â
-Usage example:
-Â
-PxSLU (paths.txt)
-- 00MYcyVK0t/recording_0.wav
-- 00MYcyVK0t/recording_2.wav
-Â
-PxDialogue (events.txt)
-- (-1, 'START', 'APP', None, 0) (1, 'user', 'ASR', 'flagyl 500 mg en cachet pendant 8 jours', 30) (1, 'system', 'TTS', 'Choisissez le médicament correspondant à votre recherche', 34) (2, 'user', 'UI', 'listview_item_clicked', 40) (2, 'system', 'TTS', 'Pourriez vous préciser la posologie pour le patient?', 40) (3, 'user', 'ASR', '3 comprimés par jour matin midi et soir pendant 10 jours', 64) (3, 'system', 'TTS', ""Est-ce que vous confirmez l'ajout de cette prescription sur la liste?"", 66) (4, 'user', 'UI', '/inform{""validate"":""validate""}', 73) (4, 'system', 'TTS', 'Prescription validée avec succès. Traitement ajouté sur le dossier du patient', 73) (-1, 'END', 'APP', '', 73)
-- N/A
-Â
-For example, in this dialogue session (00MYcyVK0t), there are two recordings.
-The events are given in a single row for each dialogue session once in the
-first recording (recording_0). Dialogues are described in form of events
-where each action taken by the user or the system is considered as a dialogue
-turn in a tuple form.
-Â
-(-1, 'START', 'APP', None, 0)
-Â
-- First element of the event is the dialogue turn number. -1 means that the application
-is initialized.
-- Second element describes who initiated the event: user, system, START, END
-- Third element describes the type of the event: APP (start and end events)
-, ASR (automatic speech recognition), TTS (text-to-speech), UI (user interface)
-User clicks on buttons triggers sometimes explicit intent recognition. For
-example (4, 'user', 'UI', '/inform{""validate"":""validate""}') describes the
-explicit intent of validation of the prescription.
-- Fourth element is the timestamp (in seconds)
-Â
-Dialogue annotations
-Â
-We also include a manual annotation for dialogues (dialogue_annotations.txt) which indicates for each recording, if the system gave the correct answer given the utterance.
-Â
-Each line contains a keyword, either [Fail] or [OK]. The following example shows a dialogue sample with annotations:
-Â
-| dialogue_annotations.txt |  paths.txt                 | seq.in                                               |
-|----------------------------------|----------------------------------------|--------------------------------------------------------------------------------------|
-| OK                  | 14yHtAe555/recording_0.wav | oxytetracycline solution euh                              |
-| OK Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â | 14yHtAe555/recording_1.wav | oxytetracycline solution 5 gouttes matin et soir pendant 14 jours |
-| Fail                  | 14yHtAe555/recording_2.wav | oxytetracycline solution 5 gouttes matin et soir pendant 14 jours |
-Â
-For these 3 dialogues, the dialogue annotations are accordingly OK, OK and Fail.
-[Ok] means that the dialogue system reacted correctly to the input.
-[Fail] means that the action of the system after this utterance should not be used
-for evaluation or training. Â
-We can notice that in the first utterance, the information are missing, however
-after the second example the system normally have all of the required slots
-for the prescription validation.
-Â
-It is to note that free comments added using the ASR system were noted as
-Fail as these dialogues did not enter the dialogue state tracking. In this
-example, the last utterance is recorded as a free comment by the prescriber
-and was annotated as Fail.
-Â
-Linking audio records to ASR events
-In order to link audio records to ASR events, the user has to use both paths.txt and events.txt
-Â
-For example for the following dialogue session (lines 1:2 of paths.txt):
-00MYcyVK0t/recording_0.wav
-00MYcyVK0t/recording_2.wav
-Â
-Events.txt include two ASR events:
-(1, 'user', 'ASR', 'flagyl 500 mg en cachet pendant 8 jours', 30)
-(3, 'user', 'ASR', '3 comprimés par jour matin midi et soir pendant 10 jours', 64)
-Â
-These ASR events corresponds to the recording files that can be found in the recordings folder.
-Â
-Available user action annotations
-Â
-Events.txt include annotations such as below with the following explanation:
-Â
-- /inform{""validate"":""validate""} : User clicks on the validate button after seeing the prescription
-- /inform{""validate"":""refuse""} : User clicks on the refuse button after seeing the prescription
-- ASR : User clicks on the push-to-talk button to record an utterance
-- listview_item_clicked : User clicks on the list to choose a drug
-- listview_cancel_clicked : User clicks on the cancel button after seeing a list of drugs
-- FREE_COMMENT_ADDED : User clicks and records a free-form utterance by clicking ""add free comment"" button
-- EMPTY_UTTERANCE: Recording containing an empty utterance
-- APP_CRASH : An application crash that happened in the dialogue turn
-- EVAL_FINISH_APPROVED : User clicks on the final upload button to finish the experiment
-- RESTART_CONVERSATION_SESSION : User clicks on the restart conversation button
-- RESTART_CANCEL_CLICKED : User cancels the restart process by clicking on the cancel button
-- EVAL_FINISH_CANCELED : User cancels the final upload process by clicking on the cancel button
-Â
-** Free Comments: **
-The users had the possibility of recording a speech-to-text message upon viewing a prescription.
-These messages had not beed added to the dialogue state tracking but were visualized on the interface and saved in
-the database. Users can find free comments by searching for FREE_COMMENT_ADDED events in the events.txt to find out
-about these events.",api,True,findable,0,0,0,0,0,2023-11-08T07:53:40.000Z,2023-11-08T07:53:40.000Z,cern.zenodo,cern,"speech corpora,health informatics,biomedical nlp,spoken dialogue systems,natural language understanding","[{'subject': 'speech corpora'}, {'subject': 'health informatics'}, {'subject': 'biomedical nlp'}, {'subject': 'spoken dialogue systems'}, {'subject': 'natural language understanding'}]",,
-10.5281/zenodo.7928420,A climatological study of heat waves in Grenoble over the 21st century,Zenodo,2022,en,Other,"Creative Commons Attribution 4.0 International,Open Access","We investigate heat waves (HWs) affecting the valley of Grenoble in a future climate. In this study, heat waves are defined as periods of at least 3 consecutive days of daily maximum and minimum temperature exceeding the 92nd historical percentile. This definition has been chosen to select HWs that might impact human health. Even though only the strongest HWs are potentialy harmful, the definition allows to identify a suficient number of events to perform a statistical study. The HWs are characterised by their duration, peak temperature and mean daily maximum temperature. Additionally, each HW is studied per year using a framework measuring heat wave number, duration, participating days, and the peak and mean magnitudes. The HW characteristics are calculated with the results of simulations from the regional climate model MAR. MAR was forced by reanalysis and by a global model for the entire 21st century. The uncertainty of future anthropogenic forcing is taken into account by analysing results for the shared socio-economic pathways SSP2 and SSP5. The simulations are evaluated against in-situ measurements in the past period. MAR captures well daily maximum and minimum temperatures as well as observed HWs. Under future climate conditions, the increase in very hot daily maximum and minimum temperatures is mainly due to the shift rather than the broadening of their probability density functions. Additionally, the HWs become more frequent and have a longer duration, higher peak temperature and mean daily maximum temperature. Finally, a sensitivity analysis to the HW de ning threshold is carried out.",mds,True,findable,0,0,0,0,0,2023-05-12T08:33:13.000Z,2023-05-12T08:33:13.000Z,cern.zenodo,cern,"Regional Climate Change,Heatwaves,Grenoble Valley,Climate Data Analysis","[{'subject': 'Regional Climate Change'}, {'subject': 'Heatwaves'}, {'subject': 'Grenoble Valley'}, {'subject': 'Climate Data Analysis'}]",,
-10.5281/zenodo.4543403,Khöömii Mongol: diversité des styles et des techniques de l'art diphonique,Zenodo,2021,,Audiovisual,"Creative Commons Attribution 4.0 International,Open Access","Illustrations audiovisuelles de l'article ""<em>Khöömii</em> Mongol: diversité des styles et des techniques de l’art diphonique"", par Johanni Curtet, Nathalie Henrich Bernardoni, Michèle Castellengo, Christophe Savariaux, Pascale Calabrese, Actes des Rencontres Nationales sur les Recherches en Musique, 2021",mds,True,findable,0,0,0,0,0,2021-02-16T13:41:10.000Z,2021-02-16T13:41:11.000Z,cern.zenodo,cern,"diphonic singing,mongolian Khöömii","[{'subject': 'diphonic singing'}, {'subject': 'mongolian Khöömii'}]",,
-10.5281/zenodo.5373494,"FIG. 5. — A in Le gisement paléontologique villafranchien terminal de Peyrolles (Issoire, Puy-de-Dôme, France): résultats de nouvelles prospections",Zenodo,2006,,Image,"Creative Commons Zero v1.0 Universal,Open Access","FIG. 5. — A', A'', fragment de bois gauche(?) de chute (Pey2 97 001) d'un jeune individu d'Eucladoceros cf. tetraceros en vue interne; A', le spécimen comme il a été trouvé sur le terrain: en noir, la partie du bois préservée et recueillie (voir A''), en rayures, l'empreinte de la fourche terminale; B, dents supérieures gauches d'Eucladoceros cf. tetraceros (Pey JLP 14) en vue occlusale; C, fragment de bois droit de massacre de « Cervus » perolensis (Pey JLP 18) en vue latérale; D, fragment de bois gauche de massacre de « Cervus » perolensis (Pey 18 JBC) en vue latérale. Échelles: 5 cm.",mds,True,findable,0,0,0,0,0,2021-09-02T04:40:37.000Z,2021-09-02T04:40:38.000Z,cern.zenodo,cern,"Biodiversity,Taxonomy","[{'subject': 'Biodiversity'}, {'subject': 'Taxonomy'}]",,
-10.5281/zenodo.7941767,"Supplementary to ""A finite-element framework to explore the numerical solution of the coupled problem of heat conduction, water vapor diffusion and settlement in dry snow (IvoriFEM v0.1.0)""",Zenodo,2023,,Software,Creative Commons Attribution 4.0 International,"This folder contains the source code of the homemade python-based finite-element model at the version used to generate the results of (to be submitted) ""A finite-element framework to explore the numerical solution of the coupled problem of heat conduction, water vapor diffusion and settlement in dry snow"".
-
-
-For setting up the environment and running the simulations, please follow the instructions described in the README file. We highly recommend that potential future users and developers access the code from its Git repository (https://github.com/jbrondex/ivori_model_homemadefem, last access: 16 May 2023) to benefit from the last version of the code. The version which has been saved here is tagged v0.1.0.",mds,True,findable,0,0,0,0,0,2023-05-16T15:37:56.000Z,2023-05-16T15:37:57.000Z,cern.zenodo,cern,"snow modeling,heat conduction in snow,vapor diffusion in snow","[{'subject': 'snow modeling'}, {'subject': 'heat conduction in snow'}, {'subject': 'vapor diffusion in snow'}]",,
-10.6084/m9.figshare.c.6756888,Flexible optical fiber channel modeling based on a neural network module,Optica Publishing Group,2023,,Collection,Creative Commons Attribution 4.0 International,"Optical fiber channel modeling which is essential in optical transmission system simulations and designs is usually based on the split-step Fourier method (SSFM), making the simulation quite time-consuming owing to the iteration steps. Here, we train a neural network module termed by NNSpan to learn the transfer function of one single fiber (G652 or G655) span with a length of 80km and successfully emulate long-haul optical transmission systems by cascading multiple NNSpans with a remarkable prediction accuracy even over a transmission distance of 1000km. Although training without erbium-doped fiber amplifier (EDFA) noise, NNSpan performs quite well when emulating the systems affected by EDFA noise. An optical bandpass filter can be added after EDFA optionally, making the simulation more flexible. Comparison with the SSFM shows that the NNSpan has a distinct computational advantage with the computation time reduced by a factor of 12. This method based on the NNSpan could be a supplementary option for optical transmission system simulations, thus contributing to system designs as well.",mds,True,findable,0,0,0,0,0,2023-08-10T20:33:33.000Z,2023-08-10T20:33:33.000Z,figshare.ars,otjm,Uncategorized,[{'subject': 'Uncategorized'}],,
-10.5281/zenodo.10005463,"Data for the paper: ""Folding a Cluster containing a Distributed File-System""",Zenodo,2023,,Dataset,Creative Commons Attribution 4.0 International,"Associated paper: https://hal.science/hal-04038000
-The repository containing the analysis scripts is available here
-
-NFS repo
-OrangeFS repo",api,True,findable,0,0,0,0,0,2023-10-15T23:10:52.000Z,2023-10-15T23:10:53.000Z,cern.zenodo,cern,,,,
-10.5281/zenodo.7056694,Companion data for Communication-Aware Load Balancing of the LU Factorization over Heterogeneous Clusters,Zenodo,2020,en,Dataset,"Creative Commons Attribution 4.0 International,Open Access","This is the companion data repository for the paper entitled <strong>Communication-Aware Load Balancing of the LU Factorization over Heterogeneous Clusters</strong> by Lucas Leandro Nesi, Lucas Mello Schnorr, and Arnaud Legrand. The manuscript has been accepted in the ICPADS 2020.",mds,True,findable,0,0,0,0,0,2022-09-07T08:36:26.000Z,2022-09-07T08:36:27.000Z,cern.zenodo,cern,,,,
-10.34847/nkl.a0db89n9,"Extraits audio Inharmonique (1977, 2019), Les cris sixième cercle (2019), Dans la nef de nos songes (2019), TêTrês (2001)",NAKALA - https://nakala.fr (Huma-Num - CNRS),2023,,Sound,,,api,True,findable,0,0,0,0,0,2023-09-10T16:13:44.000Z,2023-09-10T16:13:44.000Z,inist.humanum,jbru,"Jean-Claude Risset,Composition musicale,analyse musicale","[{'lang': 'fr', 'subject': 'Jean-Claude Risset'}, {'lang': 'fr', 'subject': 'Composition musicale'}, {'lang': 'fr', 'subject': 'analyse musicale'}]","['6014630 Bytes', '2584436 Bytes', '448469 Bytes', '226950 Bytes', '10487966 Bytes', '3745840 Bytes', '8116646 Bytes', '4800736 Bytes', '350248 Bytes', '11090282 Bytes', '6877526 Bytes', '17959616 Bytes', '3605894 Bytes', '2584436 Bytes', '346069 Bytes', '484413 Bytes', '204381 Bytes']","['audio/x-wav', 'audio/x-wav', 'audio/mpeg', 'audio/mpeg', 'audio/x-wav', 'audio/x-wav', 'audio/x-wav', 'audio/x-wav', 'audio/mpeg', 'audio/x-wav', 'audio/x-wav', 'audio/x-wav', 'audio/x-wav', 'audio/x-wav', 'audio/mpeg', 'audio/mpeg', 'audio/mpeg']"
-10.6084/m9.figshare.c.6592858.v1,Critically ill severe hypothyroidism: a retrospective multicenter cohort study,figshare,2023,,Collection,Creative Commons Attribution 4.0 International,"Abstract Background Severe hypothyroidism (SH) is a rare but life-threatening endocrine emergency. Only a few data are available on its management and outcomes of the most severe forms requiring ICU admission. We aimed to describe the clinical manifestations, management, and in-ICU and 6-month survival rates of these patients. Methods We conducted a retrospective, multicenter study over 18 years in 32 French ICUs. The local medical records of patients from each participating ICU were screened using the International Classification of Disease 10th revision. Inclusion criteria were the presence of biological hypothyroidism associated with at least one cardinal sign among alteration of consciousness, hypothermia and circulatory failure, and at least one SH-related organ failure. Results Eighty-two patients were included in the study. Thyroiditis and thyroidectomy represented the main SH etiologies (29% and 19%, respectively), while hypothyroidism was unknown in 44 patients (54%) before ICU admission. The most frequent SH triggers were levothyroxine discontinuation (28%), sepsis (15%), and amiodarone-related hypothyroidism (11%). Clinical presentations included hypothermia (66%), hemodynamic failure (57%), and coma (52%). In-ICU and 6-month mortality rates were 26% and 39%, respectively. Multivariable analyses retained age > 70 years [odds ratio OR 6.01 (1.75–24.1)] Sequential Organ-Failure Assessment score cardiovascular component ≥ 2 [OR 11.1 (2.47–84.2)] and ventilation component ≥ 2 [OR 4.52 (1.27–18.6)] as being independently associated with in-ICU mortality. Conclusions SH is a rare life-threatening emergency with various clinical presentations. Hemodynamic and respiratory failures are strongly associated with worse outcomes. The very high mortality prompts early diagnosis and rapid levothyroxine administration with close cardiac and hemodynamic monitoring.",mds,True,findable,0,0,0,0,0,2023-04-13T14:55:40.000Z,2023-04-13T14:55:41.000Z,figshare.ars,otjm,"Medicine,Neuroscience,Pharmacology,Immunology,FOS: Clinical medicine,Cancer","[{'subject': 'Medicine'}, {'subject': 'Neuroscience'}, {'subject': 'Pharmacology'}, {'subject': 'Immunology'}, {'subject': 'FOS: Clinical medicine', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Cancer'}]",,
-10.5281/zenodo.7254133,Preprocessed rat brain voxel time series,Zenodo,2022,en,Dataset,"Creative Commons Attribution 4.0 International,Open Access","Preprocessed version of voxel time-series for three rats, originally described in Becq et al., Functional connectivity is preserved but reorganized across several anesthetic regimes, NeuroImage, 2020. Used in Achard et al., Inter-regional correlation estimators for functional magnetic resonance imaging, arXiv, 2022, arXiv:2011.08269. The files named ""coord_ROI_x.txt"" contain the coordinates of the voxels inside region x (each line corresponds to one voxel). The files named ""ts_ROI_x.txt"" contain the BOLD signal time series of the voxels inside region x (each line corresponds to one voxel, each column to one timepoint). The voxels with time series equal to zero have been removed The files named ""weight_ROI_x.txt"" contain the weights associated with the voxels inside region x (each line corresponds to one voxel). Indeed, when assigning voxels to regions, some voxels end up at the border of several regions. These weights characterize the proportion of a given voxel present inside a given region. Hence, some voxels are included in several different regions. So when we compute the voxel-to-voxel inter-correlation between two regions we sometimes end up with inter-correlations equal to 1. In the current dataset this issue has been resolved and each voxel has been assigned to a single region.",mds,True,findable,0,0,0,0,0,2022-12-23T10:06:03.000Z,2022-12-23T10:06:03.000Z,cern.zenodo,cern,"fMRI,rodent,functional connectivity","[{'subject': 'fMRI'}, {'subject': 'rodent'}, {'subject': 'functional connectivity'}]",,
-10.5281/zenodo.10013098,"Data and code for the article "" Dissimilarity of vertebrate trophic interactions reveals spatial uniqueness but functional redundancy across Europe""",Zenodo,2023,en,Dataset,Creative Commons Attribution 4.0 International,"Research compendium to reproduce analyses and figures of the article: Dissimilarity of vertebrate trophic interactions reveals spatial uniqueness but functional redundancy across Europe by Gaüzère et al. published in Current Biology
-Pierre Gaüzère
-General
-This repository is structured as follow:
-
-data/: contains data required to reproduce figures and tables
-analyses/: contains scripts organized sequentially. A -> B -> C -> ..
-outputs/: follows the structure of analyses. Contains intermediate numeric results used to produce the figures
-figures_tables/: Contains the figures of the paper
-The analysis pipeline should be clear once opening the code. Contact me if needed but try before please.Â
-Figures & tables
-Figures will be stored in figures_tables/. Tables will be stored in outputs/.",api,True,findable,0,0,0,0,3,2023-10-17T09:29:24.000Z,2023-10-17T09:29:24.000Z,cern.zenodo,cern,,,,
-10.5281/zenodo.4759503,"Figs. 46-51 in Contribution To The Knowledge Of The Protonemura Corsicana Species Group, With A Revision Of The North African Species Of The P. Talboti Subgroup (Plecoptera: Nemouridae)",Zenodo,2009,,Image,"Creative Commons Attribution 4.0 International,Open Access","Figs. 46-51. Terminalias of the imago of Protonemura berberica Vinçon & S{nchez-Ortega, 1999. 46: male terminalia, dorsal view; 47: male terminalia, ventral view; 48: male terminalia, lateral view; 49: male paraproct, ventrolateral view; 50: female pregenital and subgenital plates, and vaginal lobes, ventral view; 51: female pregenital and subgenital plates, and vaginal lobes, lateral view (scales 0.5 mm; scale 1: Fig. 49, scale 2: Figs. 46-48, 50-51).",mds,True,findable,0,0,2,0,0,2021-05-14T02:25:40.000Z,2021-05-14T02:25:40.000Z,cern.zenodo,cern,"Biodiversity,Taxonomy,Animalia,Arthropoda,Insecta,Plecoptera,Nemouridae,Protonemura","[{'subject': 'Biodiversity'}, {'subject': 'Taxonomy'}, {'subject': 'Animalia'}, {'subject': 'Arthropoda'}, {'subject': 'Insecta'}, {'subject': 'Plecoptera'}, {'subject': 'Nemouridae'}, {'subject': 'Protonemura'}]",,
-10.5281/zenodo.12378,xraylib 3.1.0,Zenodo,2014,,Software,"BSD licenses (New and Simplified),Open Access","Quantitative estimate of elemental composition by spectroscopic and imaging techniques using X-ray fluorescence requires the availability of accurate data of X-ray interaction with matter. Although a wide number of computer codes and data sets are reported in literature, none of them is presented in the form of freely available library functions which can be easily included in software applications for X-ray fluorescence. This work presents a compilation of data sets from different published works and an xraylib interface in the form of callable functions. Although the target applications are on X-ray fluorescence, cross sections of interactions like photoionization, coherent scattering and Compton scattering, as well as form factors and anomalous scattering functions, are also available. xraylib provides access to some of the most respected databases of physical data in the field of x-rays. The core of xraylib is a library, written in ANSI C, containing over 40 functions to be used to retrieve data from these databases. This C library can be directly linked with any program written in C, C++ or Objective-C. Furthermore, the xraylib package contains bindings to several popular programming languages: Fortran 2003, Perl, Python, Java, IDL, Lua, Ruby, PHP and .NET, as well as a command-line utility which can be used as a pocket-calculator. Although not officially supported, xraylib has been reported to be useable from within Matlab and LabView. The source code is known to compile and run on the following platforms: Linux, Mac OS X, Solaris, FreeBSD and Windows.<br> Development occurs on Github: http://github.com/tschoonj/xraylib<br> Downloads are hosted by the X-ray Micro-spectroscopy and Imaging research group of Ghent University: http://lvserver.ugent.be/xraylib Version 3.1.0 release notes: - Database of commonly used radionuclides for X-ray sources added (new API: GetRadioNuclideDataByName, GetRadioNuclideDataByIndex, GetRadioNuclideDataList and FreeRadioNuclideData)<br> - numpy Python bindings added, generated with Cython. Performance basically the same as the core C library. (suggested by Matt Newville)<br> - docstring support added to Python bindings (suggested by Matt Newville)<br> - Windows SDKs now have support for Python 3.4.<br> - Windows 64-bit SDK now comes with IDL bindings<br> - Confirmed support for LabView (thanks to Dariush Hampai!)<br> - Universal Intel 32/64 bit Framework built for Mac OS X<br> - Perl support for Debian/Ubuntu<br> - Several bugfixes: thanks to those that reported them!",mds,True,findable,0,0,2,0,0,2014-10-24T08:03:54.000Z,2014-10-24T08:03:55.000Z,cern.zenodo,cern,"xraylib,X-ray fluorescence,quantification,fundamental parameters,software library","[{'subject': 'xraylib'}, {'subject': 'X-ray fluorescence'}, {'subject': 'quantification'}, {'subject': 'fundamental parameters'}, {'subject': 'software library'}]",,
-10.5281/zenodo.6448390,"Dataset for the paper ""Imaging evolution of Cascadia slow‑slip event using high‑rate GPS""",Zenodo,2022,en,Dataset,"Creative Commons Attribution 4.0 International,Open Access","Slip and slip rate files for the preferred model of Itoh, Aoki, and Fukuda (2022, Scientific Reports, doi:10.1038/s41598-022-10957-8). Please see readme.txt for further details. The corresponding author information is also available there. Caution: the dataset has the size of 4.3GB after uncompression/extraction.",mds,True,findable,0,0,0,1,0,2022-04-19T13:23:52.000Z,2022-04-19T13:23:56.000Z,cern.zenodo,cern,"Slow slip,SSE,Cascadia","[{'subject': 'Slow slip'}, {'subject': 'SSE'}, {'subject': 'Cascadia'}]",,
-10.57745/qoa1qo,Data on Terminological Semantic Variation between the (US and British) Press and UN Institutions in Climate Change Discourses,Recherche Data Gouv,2023,,Dataset,,"The data set contains three spreadsheets, two of them being displayed in one single Excel file. The first file, entitled « Cosine_Similarity_UN-Press », represents the cosine similarity scores between the UN version and the press version of the most specific and widely distributed « climate terms » shared by these two communities. The second file, entitled « Collocates_UN-Press » contains two spreadsheets which respectively compares the collocates of the terms « adaptation » and « energy security » between two corpora on climate change, one representing UN institutions and one representing the US and British press.",mds,True,findable,46,5,0,0,0,2023-04-07T14:16:05.000Z,2023-05-23T12:32:05.000Z,rdg.prod,rdg,,,,
-10.5281/zenodo.7499383,"Trajectory files for ""Where does the energy go during the interstellar NH3 formation on water ice? A computational study""",Zenodo,2022,,Dataset,"Creative Commons Attribution 4.0 International,Open Access","CP2K trajectory files for the N+H, NH + H and NH2 + H reactions on the amorphous water ice surface",mds,True,findable,0,0,0,0,0,2023-01-02T15:10:54.000Z,2023-01-02T15:10:55.000Z,cern.zenodo,cern,,,,
-10.5281/zenodo.4760499,"Figs. 17-20 in Contribution To The Knowledge Of The Moroccan High And Middle Atlas Stoneflies (Plecoptera, Insecta)",Zenodo,2014,,Image,"Creative Commons Attribution 4.0 International,Open Access","Figs. 17-20. Capnioneura atlasica sp. n. 17: male abdominal tip in dorsal view, 18: paraproct shaft and specillum, 19: male abdominal tip in lateral view, 20: male abdominal tip in ventral view. Figs. 21-22. Capnioneura petitpierreae. 21: paraproct shaft and specillum, 22: male abdominal tip in lateral view.",mds,True,findable,0,0,2,0,0,2021-05-14T05:27:46.000Z,2021-05-14T05:27:47.000Z,cern.zenodo,cern,"Biodiversity,Taxonomy,Animalia,Arthropoda,Insecta,Plecoptera,Capniidae,Capnioneura","[{'subject': 'Biodiversity'}, {'subject': 'Taxonomy'}, {'subject': 'Animalia'}, {'subject': 'Arthropoda'}, {'subject': 'Insecta'}, {'subject': 'Plecoptera'}, {'subject': 'Capniidae'}, {'subject': 'Capnioneura'}]",,
-10.5281/zenodo.8101891,"Data and code for publication ""The stability of present-day Antarctic grounding lines - Part B""",Zenodo,2023,,Dataset,"Creative Commons Attribution 4.0 International,Open Access","Data and code for the publication ""The stability of present-day Antarctic grounding lines – Part B: Onset of irreversible retreat of Amundsen Sea glaciers under current climate on centennial timescales cannot be excluded"" in The Cryosphere. Zip files contain data, python notebooks for analysis and PISM code. Please contact ronja.reese@northumbria.ac.uk if you have any further questions.",mds,True,findable,0,0,0,2,0,2023-07-03T17:51:58.000Z,2023-07-03T17:51:58.000Z,cern.zenodo,cern,,,,
-10.5281/zenodo.5723606,Classification of blood cells dynamics with convolutional and recurrent neural networks: a sickle cell disease case study,Zenodo,2021,en,Dataset,"Creative Commons Attribution 4.0 International,Open Access","The fraction of red blood cells (RBC) adopting a specific motion under low shear flow is a promising inexpensive marker for monitoring the clinical status of patients with sickle cell disease (SCD). Its high-throughput measurement relies on the video analysis of thousands of cell motions for each blood sample to eliminate a large majority of unreliable samples(out of focus or overlapping cells) and discriminate between tank-treading and flipping motion, characterizing highly and poorly deformable cells respectively. These videos are of different durations (from 6 to more than 100 frames). This dataset contains four adult patients with SCD. They were enrolled in the study Drepaforme (approved by the institutional review board CPP Ouest 6 under the reference n°2018A00679-46) and were sampled weekly for several months. The movies were processed using in-house routines in Matlab (Matlab, R2016a) and RBC were detected individually and tracked over time. The database provided in this repository are already pre-processed sequences of tracked and centered RBC over time, each time step image being normalized to 31x31 pixels. Within the 32 experiments, the total number of sequences (or samples) is nearly 150 000. All sequences were semi-automatically labelled into 3 classes, depending on the dynamic of the cell: tank-treading, flipping and unreliable (140 000 are unreliable). The percentage of tank-treading cells with respect to all reliable cells (tank-treading+flipping) in every experiment is the final goal of this study. This dataset is very interesting to the community as it is a large database for cell dynamics classification: the class depends on the movement of the cell. An automatic processing of the database using a 2-stage deep learning model is available here https://github.com/icannos/redbloodcells_disease_classification For opening the data in python: from scipy.io import loadmat<br> x=loadmat('BG20191003shear10s01_Export.mat') * x['Norm_Tab'] is of size nb_samples x max_len_sequences x 31 x 31, where max_len_sequences is the length of the longest sequence of the series, typically ~150 to 180. The other sequences are padded with 31x31 zero matrices at the end in order to fill this maximal length. * x['Labels_Num'] is the corresponding label of each sequence, of size nb_samples. Label can be:<br> - 0 : ""tank-treading"" (or healthy)<br> - 1 : ""flipping"" (or tumbling, i.e. related to a SCD)<br> - 2 : ""unreliable""",mds,True,findable,0,0,0,0,0,2021-11-24T10:21:40.000Z,2021-11-24T10:21:41.000Z,cern.zenodo,cern,"blood cell,cell dynamics,cell classification,cell motion","[{'subject': 'blood cell'}, {'subject': 'cell dynamics'}, {'subject': 'cell classification'}, {'subject': 'cell motion'}]",,
-10.5281/zenodo.8139775,High-end projections of Southern Ocean warming and Antarctic ice shelf melting in conditions typical of the end of the 23rd century,Zenodo,2023,,Dataset,"Creative Commons Attribution 4.0 International,Open Access","<strong>High-end projections of Southern Ocean warming and Antarctic ice shelf melting in conditions typical of the end of the 23rd century</strong> To evaluate the response of the Southern Ocean and Antarctic ice shelf cavities to an abrupt change to high-end atmospheric<br> conditions typical of the late 23rd century under the SSP5-8.5 scenario, in Mathiot and Jourdain (2023, submitted soon), we conducted 2 experiments. Our reference experiment (called REF) is driven by present day atmospheric condition. In the 23rd century simulation (called PERT), the present day atmospheric forcing is perturbed by the anomaly (2260-2299 minus 1975-2014) extracted from monthly outputs of the IPSL-CM6A-LR projections under the SSP5-8.5 emission scenario. REF is run over the latest 40 years and PERT is run for 100y starting from PERT at year 1999. This data set contains: The atmospheric forcing anomalies used to perturbed our reference atmospheric forcing in the PERT simulation; 30y monthly climatologies of multiple variables (ocean temperature, salinity, ssh, velocities, barotropic stream function, sea ice concentration, thickness, velocities and snow thickness) for PERT and REF. All the details on each dataset have been added in separated README in ATMO_ANOMALIES and OCEAN_CLIMATOLOGIES directory. As stated in each README, all the detailed on the simulations and atmospheric perturbation are available in Mathiot and Jourdain (2023, submitted soon).",mds,True,findable,0,0,0,0,0,2023-07-12T16:48:55.000Z,2023-07-12T16:48:56.000Z,cern.zenodo,cern,,,,
-10.5061/dryad.m1t32,Data from: Phylogenomic analysis of the explosive adaptive radiation of the Espeletia complex (Asteraceae) in the tropical Andes,Dryad,2019,en,Dataset,Creative Commons Zero v1.0 Universal,"The subtribe Espeletiinae (Asteraceae) is endemic to the high-elevations in the Northern Andes. It exhibits an exceptional diversity of species, growth-forms and reproductive strategies, including large trees, dichotomous trees, shrubs and the extraordinary giant monocarpic or polycarpic caulescent rosettes, considered as a classic example of adaptation in tropical high-elevation ecosystems. The subtribe has long been recognised as a prominent case of adaptive radiation, but the understanding of its evolution has been hampered by a lack of phylogenetic resolution. Here we produce the first fully resolved phylogeny of all morphological groups of Espeletiinae, using whole plastomes and about a million nuclear nucleotides obtained with an original de novo assembly procedure without reference genome, and analysed with traditional and coalescent-based approaches that consider the possible impact of incomplete lineage sorting and hybridisation on phylogenetic inference. We show that the diversification of Espeletiinae started from a rosette ancestor about 2.3 Ma, after the final uplift of the Northern Andes. This was followed by two rather independent radiations in the Colombian and Venezuelan Andes, with a few trans-cordilleran dispersal events among low-elevation tree lineages but none among high-elevation rosettes. We demonstrate complex scenarios of morphological change in Espeletiinae, usually implying the convergent evolution of growth-forms with frequent loss/gains of various traits. For instance, caulescent rosettes evolved independently in both countries, likely as convergent adaptations to life in tropical high-elevation habitats. Tree growth-forms evolved independently three times from the repeated colonisation of lower elevations by high-elevation rosette ancestors. The rate of morphological diversification increased during the early phase of the radiation, after which it decreased steadily towards the present. On the other hand, the rate of species diversification in the best-sampled Venezuelan radiation was on average very high (3.1 spp/My), with significant rate variation among growth-forms (much higher in polycarpic caulescent rosettes). Our results point out a scenario where both adaptive morphological evolution and geographical isolation due to Pleistocene climatic oscillations triggered an exceptionally rapid radiation for a continental plant group.",mds,True,findable,349,79,0,1,0,2019-10-04T22:00:33.000Z,2019-10-04T22:00:34.000Z,dryad.dryad,dryad,"Espeletiinae,caulescent rosette,Páramo,tropical high-elevation,explosive diversification","[{'subject': 'Espeletiinae'}, {'subject': 'caulescent rosette'}, {'subject': 'Páramo'}, {'subject': 'tropical high-elevation'}, {'subject': 'explosive diversification'}]",['74332765 bytes'],
-10.5281/zenodo.3876188,Raw diffraction data for [NiFeSe] hydrogenase G491A variant pressurized with O2 gas - dataset G491A-O2-HD,Zenodo,2020,,Dataset,"Creative Commons Attribution 4.0 International,Embargoed Access","Diffraction data measured at ESRF beamline ID30B on April 8, 2018. Image files are uploaded in blocks of gzip-compressed cbf files.",mds,True,findable,0,0,0,0,0,2020-06-04T10:15:53.000Z,2020-06-04T10:15:54.000Z,cern.zenodo,cern,"Hydrogenase,Selenium,gas channels,high-pressure derivatization","[{'subject': 'Hydrogenase'}, {'subject': 'Selenium'}, {'subject': 'gas channels'}, {'subject': 'high-pressure derivatization'}]",,
-10.5281/zenodo.7969515,"Dataset related to the study ""Spatial variability of Saharan dust deposition revealed through a citizen science campaign""",Zenodo,2022,,Dataset,"Creative Commons Attribution 4.0 International,Open Access","This dataset contains the data and the measurements related to the manuscript ""Spatial variability of Saharan dust deposition revealed through a citizen science campaign"", by Dumont et al., submitted in December 2022 to the journal ""Earth System Science Data"".",mds,True,findable,0,0,0,0,0,2023-05-25T08:28:52.000Z,2023-05-25T08:28:53.000Z,cern.zenodo,cern,,,,
-10.5281/zenodo.4964223,"FIGURE 39 in Two new species of Protonemura Kempny, 1898 (Plecoptera: Nemouridae) from the Italian Alps",Zenodo,2021,,Image,Open Access,FIGURE 39. Distribution map of taxa belonging to the Protonemura auberti species complex in the Italian Alps,mds,True,findable,0,0,5,0,0,2021-06-16T08:25:45.000Z,2021-06-16T08:25:47.000Z,cern.zenodo,cern,"Biodiversity,Taxonomy,Animalia,Arthropoda,Insecta,Plecoptera,Nemouridae,Protonemura","[{'subject': 'Biodiversity'}, {'subject': 'Taxonomy'}, {'subject': 'Animalia'}, {'subject': 'Arthropoda'}, {'subject': 'Insecta'}, {'subject': 'Plecoptera'}, {'subject': 'Nemouridae'}, {'subject': 'Protonemura'}]",,
-10.5061/dryad.wpzgmsbp2,Assessing environmental DNA metabarcoding and camera trap surveys as complementary tools for biomonitoring of remote desert water bodies,Dryad,2021,en,Dataset,Creative Commons Zero v1.0 Universal,"Biodiversity assessments are indispensable tools for planning and monitoring conservation strategies. Camera traps (CT) are widely used to monitor wildlife and have proven their usefulness. Environmental DNA (eDNA)-based approaches are increasingly implemented for biomonitoring, combining sensitivity, high taxonomic coverage and resolution, non-invasiveness and easiness of sampling, but remain challenging for terrestrial fauna. However, in remote desert areas where scattered water bodies attract terrestrial species, which release their DNA into the water, this method presents a unique opportunity for their detection. In order to identify the most efficient method for a given study system, comparative studies are needed. Here, we compare CT and DNA metabarcoding of water samples collected from two desert ecosystems, the Trans-Altai Gobi in Mongolia and the Kalahari in Botswana. We recorded with CT the visiting patterns of wildlife and studied the correlation with the biodiversity captured with the eDNA approach. The aim of the present study was threefold: a) to investigate how well waterborne eDNA captures signals of terrestrial fauna in remote desert environments, which have been so far neglected in terms of biomonitoring efforts; b) to compare two distinct approaches for biomonitoring in such environments and c) to draw recommendations for future eDNA-based biomonitoring. We found significant correlations between the two methodologies and describe a detectability score based on variables extracted from CT data and the visiting patterns of wildlife. This supports the use of eDNA-based biomonitoring in these ecosystems and encourages further research to integrate the methodology in the planning and monitoring of conservation strategies.",mds,True,findable,143,14,0,0,0,2021-12-29T01:12:54.000Z,2021-12-29T01:12:55.000Z,dryad.dryad,dryad,,,['1367382692 bytes'],
-10.5281/zenodo.1307653,Miccai 2016 Ms Lesion Segmentation Challenge: Supplementary Results,Zenodo,2018,en,Dataset,"Creative Commons Attribution 4.0,Open Access","This package contains supplementary material for our article prepared for publication and under revision. It contains omitted results due to space limits of the article as well as detailed, patient per patient and team per team results for all metrics. Additional figures redundant with those of the article are also provided.
-
-The readme file Readme_SupplementalMaterial.txt provides details about each individual file content.",mds,True,findable,0,0,1,0,0,2018-07-13T09:25:11.000Z,2018-07-13T09:25:11.000Z,cern.zenodo,cern,"Multiple sclerosis,Image segmentation,Performance evaluation,Computing infrastructure,Distributed computing,MICCAI challenge","[{'subject': 'Multiple sclerosis'}, {'subject': 'Image segmentation'}, {'subject': 'Performance evaluation'}, {'subject': 'Computing infrastructure'}, {'subject': 'Distributed computing'}, {'subject': 'MICCAI challenge'}]",,
-10.5281/zenodo.200198,Mpi Load Balancing Simulation Data Sets (Companion To Ipdps 2017),Zenodo,2016,,Dataset,"Creative Commons Attribution Share-Alike 4.0,Open Access","This package contains data sets and scripts (in an Org-mode file) related to our submission to IPDPS 2017, under the title ""Using Simulation to Evaluate and Tune the Performance of Dynamic Load Balancing of an Over-decomposed Geophysics Application"".
-
-The following contents are included:
-
-
- <em>IPDPS2017.org :</em> Org mode (Emacs) file containing the shell (Bash) and R scripts used to:
-
-
- run the load balancing simulation;
- process the traces of both real executions (Tau traces) and simulation (Pajé traces);
- generate the graphics.
-
-
- <em>lb_traces/:</em> this directory contains the raw traces from real executions and SMPI emulations of the Ondes3D application.
- <em>processed_data/</em>: this directory contains the results of the processing of the traces in the form of CSV format data files which are be used to generate the graphics.
- i<em>mg</em>/: this directory contains the generate graphics, in PNG format.",,True,findable,0,0,0,0,0,2016-12-13T12:25:44.000Z,2016-12-13T12:25:45.000Z,cern.zenodo,cern,"simulation,load balancing,SimGrid,Ondes3d,over decomposition,MPI","[{'subject': 'simulation'}, {'subject': 'load balancing'}, {'subject': 'SimGrid'}, {'subject': 'Ondes3d'}, {'subject': 'over decomposition'}, {'subject': 'MPI'}]",,
-10.5281/zenodo.3606016,Modifications of the plant-pollinator network structure and species' roles along a gradient of urbanization,Zenodo,2020,en,Dataset,"Creative Commons Attribution 4.0 International,Open Access","This file includes data and codes used in the article titled: "" Modifications of the plant-pollinator network structure and species’ roles along a gradient of urbanization"". Data include plant-pollinator interactions sampled in each site (1-12) at each sampling event (6 events) in the three urbanization classes (low, medium, high). Each row is a single insect pollinator X plant interaction. Full species names and abbreviations used in figures in the Supplementary Information are reported.<br> The data file is .txt with tab-separated values.",mds,True,findable,1,0,0,0,0,2020-01-13T10:19:33.000Z,2020-01-13T10:19:34.000Z,cern.zenodo,cern,"bees, beta-diversity, conservation biology, global changes, hoverflies, interaction diversity, land-use change, motifs, mutualistic networks, pollinators, plant-pollinator interactions, urbanization","[{'subject': 'bees, beta-diversity, conservation biology, global changes, hoverflies, interaction diversity, land-use change, motifs, mutualistic networks, pollinators, plant-pollinator interactions, urbanization'}]",,
-10.5281/zenodo.4964213,"FIGURES 25–28 in Two new species of Protonemura Kempny, 1898 (Plecoptera: Nemouridae) from the Italian Alps",Zenodo,2021,,Image,Open Access,"FIGURES 25–28. Protonemura pennina sp. n., 25. male terminalia with epiproct, dorsal view. 26. male terminalia, ventral view. 27. male, paraproct median lobe and outer lobe with trifurcated sclerite. 28. male, paraproct median lobe and outer lobe with trifurcated sclerite",mds,True,findable,0,0,3,0,0,2021-06-16T08:25:17.000Z,2021-06-16T08:25:18.000Z,cern.zenodo,cern,"Biodiversity,Taxonomy,Animalia,Arthropoda,Insecta,Plecoptera,Nemouridae,Protonemura","[{'subject': 'Biodiversity'}, {'subject': 'Taxonomy'}, {'subject': 'Animalia'}, {'subject': 'Arthropoda'}, {'subject': 'Insecta'}, {'subject': 'Plecoptera'}, {'subject': 'Nemouridae'}, {'subject': 'Protonemura'}]",,
-10.34847/nkl.adc04b9w,Bulletin franco-italien 1912 n°2 mars - avril,NAKALA - https://nakala.fr (Huma-Num - CNRS),2022,fr,Book,,"1912/03 (A4,N2)-1912/04.",api,True,findable,0,0,0,0,0,2022-06-29T10:30:34.000Z,2022-06-29T10:30:34.000Z,inist.humanum,jbru,Etudes italiennes,[{'subject': 'Etudes italiennes'}],"['5911653 Bytes', '36330 Bytes', '20948809 Bytes', '21088168 Bytes', '20945074 Bytes', '20995618 Bytes', '21018802 Bytes', '21114103 Bytes', '21203224 Bytes', '21063487 Bytes', '21032884 Bytes', '21059062 Bytes', '20963617 Bytes', '20835679 Bytes', '21114352 Bytes', '20978806 Bytes']","['application/pdf', 'application/json', 'image/tiff', 'image/tiff', 'image/tiff', 'image/tiff', 'image/tiff', 'image/tiff', 'image/tiff', 'image/tiff', 'image/tiff', 'image/tiff', 'image/tiff', 'image/tiff', 'image/tiff', 'image/tiff']"
-10.5281/zenodo.6860527,JASPAR TFBS LOLA databases - Part 1,Zenodo,2022,,Dataset,"Creative Commons Attribution 4.0 International,Open Access","This repository contains the first part of the JASPAR 2022 LOLA databases used by the JASPAR TFBS enrichment tool. For each organism, we provide the LOLA databases for all JASPAR 2022 TFBS sets as compressed directories containing a set of .RDS R objects. Databases are organised by genome assembly. Due to file sizes, we had to split the repository into two different parts. Part 2 of the repository containing the databases for human can be found here.",mds,True,findable,0,0,0,0,0,2022-07-25T12:25:26.000Z,2022-07-25T12:25:27.000Z,cern.zenodo,cern,,,,
-10.5281/zenodo.8052969,Garaffa_et_al_OE_2023_Supplemental_Information,Zenodo,2023,,Dataset,Creative Commons Attribution 4.0 International,"Supplemental Information. Garaffa et al., Stocktake of G20 countries' climate pledges reveals limited macroeconomic costs and employment shifts, One Earth (2023), https://doi.org/10.1016/j.oneear.2023.10.012Â
-List of policies included in the scenarios (CurPol, NDC-LTS and 1.5C)",mds,True,findable,0,0,0,0,0,2023-06-19T12:55:33.000Z,2023-06-19T12:55:34.000Z,cern.zenodo,cern,,,,
-10.5281/zenodo.8271121,Artifact for Dynamic Program Analysis with Flexible Instrumentation and Complex Event Processing,Zenodo,2023,,Software,"Creative Commons Attribution 4.0 International,Open Access","This repository contains the source code for the integration layer between <code>BISM</code> and <code>BeepBeep</code>. For more about these tools, BISM is a lightweight bytecode instrumentation tool for Java programs and BeepBeep is a complex event stream query engine. The repo also contains the examples analyses that we implemented and the experiments we conducted. The tool and experiments presented in this repository are discussed in the following publication: C. Soueidi, Y. Falcone, and S. Hallé. (2023). Dynamic Program Analysis with Flexible Instrumentation and Complex Event Processing. Proceedings of the 34th IEEE International Symposium on Software Reliability Engineering (ISSRE 2023). IEEE.",mds,True,findable,0,0,0,0,0,2023-08-21T23:14:32.000Z,2023-08-21T23:14:33.000Z,cern.zenodo,cern,"dynamic program analysis,instrumentation,JVM-based languages,complex event processing","[{'subject': 'dynamic program analysis'}, {'subject': 'instrumentation'}, {'subject': 'JVM-based languages'}, {'subject': 'complex event processing'}]",,
-10.5281/zenodo.3707930,Estimate of the atmospherically-forced contribution to sea surface height variability based on altimetric observations,Zenodo,2020,,Dataset,"Creative Commons Attribution 4.0 International,Open Access","This repository contains the estimate of the atmospherically-forced contribution to sea level variability described in Close et al, 2020, and derived from the Ssalto/Duacs altimeter products produced and distributed by the Copernicus Marine and Environment Monitoring Service (CMEMS) (http://www.marine.copernicus.eu). The files contain successive 5-day averages of sea level anomaly, with the same global coverage and 0.25° grid as the Ssalto/Duacs altimeter products. The estimate is created using a spatial bandpass filter, with cutoff scales of ~1.5° and 10.5°. Zeros in the mask file indicate regions in which it has not been possible to evaluate the quality of the estimate. The cutoff scales applied to the altimetry data were determined through analysis of output from the OceaniC Chaos – ImPacts, strUcture, predicTability (Penduff et al, 2014) experiment, comprising a 50-member ensemble of ocean-sea ice model hindcasts with 0.25° horizontal resolution (Bessières et al., 2017). The spatiotemporal coherence between the model-based estimates of the atmospherically-forced (ensemble mean) and total simulated sea surface height signals was analysed, and found to exhibit distinct partitioning between the atmospherically-forced and intrinsic contributions in a spatial (but not temporal) sense, thus suggesting that meaningful estimation of the two components can be achieved based on simple spatial filtering. Verification of the method using the model data indicates good accuracy, with a global mean correlation of 0.9 between the estimate based on spatial filtering and the ensemble mean sea surface height. Full details of the methodology and verification may be found in Close et al, 2020. ---- <strong>References</strong>: Bessières, L., Leroux, S., Brankart, J.-M., Molines, J.-M., Moine, M.-P., Bouttier, P.-A., Penduff, T., Terray, L., Barnier, B., and Sérazin, G., 2017. Development of a probabilistic ocean modelling system based on NEMO 3.5: application at eddying resolution, Geosci. Model Dev., 10, 1091–1106, doi: 10.5194/gmd-10-1091-2017. Close, S., Penduff, T., Speich, S. and Molines J.-M., 2020. A means of estimating the intrinsic and atmospherically-forced contributions to sea surface height variability applied to altimetric observations. Progr. Oceanogr. doi: 10.1016/j.pocean.2020.102314 Penduff, T., Barnier, B. , Terray, L., Bessières, L., Sérazin, G., Grégorio, S., Brankart, J., Moine, M., Molines, J., Brasseur, P., 2014. Ensembles of eddying ocean simulations for climate, CLIVAR Exchanges, Special Issue on High Resolution Ocean Climate Modelling, 19.",mds,True,findable,3,0,1,0,0,2020-03-25T08:50:08.000Z,2020-03-25T08:50:10.000Z,cern.zenodo,cern,"ocean,sea level anomaly,altimetry","[{'subject': 'ocean'}, {'subject': 'sea level anomaly'}, {'subject': 'altimetry'}]",,
-10.5281/zenodo.4761357,"Fig. 92 in Two New Species Of Dictyogenus Klapálek, 1904 (Plecoptera: Perlodidae) From The Jura Mountains Of France And Switzerland, And From The French Vercors And Chartreuse Massifs",Zenodo,2019,,Image,"Creative Commons Attribution 4.0 International,Open Access","Fig. 92. Distribution map of Dictyogenus species in the Central and Western Alps. Legend: Dictyogenus jurassicum, yellow dots; D. muranyii, black dots; D. alpinum, red dots; D. fontium species complex, blue dots. Distribution data are those of the authors and Opie-Benthos. Map data: SRTM V4 (http://srtm.csi.cgiar.org), generated with ArcGIS version 10.3.0.4322.",mds,True,findable,0,0,4,0,0,2021-05-14T07:52:50.000Z,2021-05-14T07:52:50.000Z,cern.zenodo,cern,"Biodiversity,Taxonomy,Animalia,Arthropoda,Insecta,Plecoptera,Perlodidae,Dictyogenus","[{'subject': 'Biodiversity'}, {'subject': 'Taxonomy'}, {'subject': 'Animalia'}, {'subject': 'Arthropoda'}, {'subject': 'Insecta'}, {'subject': 'Plecoptera'}, {'subject': 'Perlodidae'}, {'subject': 'Dictyogenus'}]",,
-10.5281/zenodo.4761293,"Figs. 6-7 in Two New Species Of Dictyogenus Klapálek, 1904 (Plecoptera: Perlodidae) From The Jura Mountains Of France And Switzerland, And From The French Vercors And Chartreuse Massifs",Zenodo,2019,,Image,"Creative Commons Attribution 4.0 International,Open Access","Figs. 6-7. Dictyogenus jurassicum sp. n., adult male. 6. Epiproct and lateral stylet, lateral view. Karstic spring at Charabotte Mill, Ain dpt, France. Photo B. Launay. 7. Posterior margin of sternite 7 with ventral vesicle, ventral view. Karstic spring at Charabotte Mill, Ain dpt, France. Photo J.-P.G. Reding.",mds,True,findable,0,0,6,0,0,2021-05-14T07:43:39.000Z,2021-05-14T07:43:40.000Z,cern.zenodo,cern,"Biodiversity,Taxonomy,Animalia,Arthropoda,Insecta,Plecoptera,Perlodidae,Dictyogenus","[{'subject': 'Biodiversity'}, {'subject': 'Taxonomy'}, {'subject': 'Animalia'}, {'subject': 'Arthropoda'}, {'subject': 'Insecta'}, {'subject': 'Plecoptera'}, {'subject': 'Perlodidae'}, {'subject': 'Dictyogenus'}]",,
-10.5281/zenodo.5084367,"Data and code used in ""Satellite magnetic data reveal interannual waves in Earth's core""",Zenodo,2022,,Dataset,"Creative Commons Attribution 4.0 International,Open Access","Eigen mode solutions and code to obtain them for the results presented in Satellite magnetic data reveal interannual waves in Earth's core. The package uses the freely available code Mire.jl. <strong>Prerequisites</strong> Installed python3 with matplotlib ≥v2.1, cmocean and cartopy. A working Julia ≥v1.7. <strong>Run</strong> In the project folder run <pre><code>julia --project=.</code></pre> <br> Then, from within the Julia REPL run <pre><code>]instantiate</code></pre> at first time, to install all dependencies. After that, to compute all plots, run <pre><code>using QGMCSat allfigs()</code></pre> They're automatically saved in the ""figs"" subfolder of the repository. If loading QGMCSat fails, due to a missing cartopy or cmocean in the python version. Run (within Julia)<br> <pre><code>ENV[""PYTHON""] = ""python"" #this should point to the python version that has cartopy installed ]build PyCall</code></pre> <br> To calculate all data, run <pre><code>using QGMCSat calculate_data()</code></pre> This will take several hours/days depending on the machine (needs enough memory). Individual data can be accessed directly through the .jld2 files from Julia. You can check out the individual figure functions to get an idea where which data is stored. If there are any issues or questions, please don't hesitate to get in touch!",mds,True,findable,0,0,0,1,0,2022-02-28T19:22:58.000Z,2022-02-28T19:23:00.000Z,cern.zenodo,cern,,,,
-10.5281/zenodo.5500364,Data and scripts from: A new westward migration route in an Asian passerine bird,Zenodo,2021,,Dataset,"Creative Commons Attribution 4.0 International,Open Access","Contains relevant datasets and code for niche modeling analyses performed in ""A new westward migration route in an Asian passerine bird"" by Dufour P<sup>*</sup>, de Franceschi<sup> </sup>C, Doniol-Valcroze P, Jiguet F, Maya Guéguen M, Renaud J, Lavergne<sup>†</sup>S, Crochet<sup>†</sup> PA (<sup>†</sup>co-senior authors)",mds,True,findable,0,0,0,0,0,2021-10-22T15:02:48.000Z,2021-10-22T15:02:49.000Z,cern.zenodo,cern,,,,
-10.6084/m9.figshare.c.6604292.v1,Predictors of changing patterns of adherence to containment measures during the early stage of COVID-19 pandemic: an international longitudinal study,figshare,2023,,Collection,Creative Commons Attribution 4.0 International,"Abstract Background Identifying common factors that affect public adherence to COVID-19 containment measures can directly inform the development of official public health communication strategies. The present international longitudinal study aimed to examine whether prosociality, together with other theoretically derived motivating factors (self-efficacy, perceived susceptibility and severity of COVID-19, perceived social support) predict the change in adherence to COVID-19 containment strategies. Method In wave 1 of data collection, adults from eight geographical regions completed online surveys beginning in April 2020, and wave 2 began in June and ended in September 2020. Hypothesized predictors included prosociality, self-efficacy in following COVID-19 containment measures, perceived susceptibility to COVID-19, perceived severity of COVID-19 and perceived social support. Baseline covariates included age, sex, history of COVID-19 infection and geographical regions. Participants who reported adhering to specific containment measures, including physical distancing, avoidance of non-essential travel and hand hygiene, were classified as adherence. The dependent variable was the category of adherence, which was constructed based on changes in adherence across the survey period and included four categories: non-adherence, less adherence, greater adherence and sustained adherence (which was designated as the reference category). Results In total, 2189 adult participants (82% female, 57.2% aged 31–59 years) from East Asia (217 [9.7%]), West Asia (246 [11.2%]), North and South America (131 [6.0%]), Northern Europe (600 [27.4%]), Western Europe (322 [14.7%]), Southern Europe (433 [19.8%]), Eastern Europe (148 [6.8%]) and other regions (96 [4.4%]) were analyzed. Adjusted multinomial logistic regression analyses showed that prosociality, self-efficacy, perceived susceptibility and severity of COVID-19 were significant factors affecting adherence. Participants with greater self-efficacy at wave 1 were less likely to become non-adherence at wave 2 by 26% (adjusted odds ratio [aOR], 0.74; 95% CI, 0.71 to 0.77; P < .001), while those with greater prosociality at wave 1 were less likely to become less adherence at wave 2 by 23% (aOR, 0.77; 95% CI, 0.75 to 0.79; P = .04). Conclusions This study provides evidence that in addition to emphasizing the potential severity of COVID-19 and the potential susceptibility to contact with the virus, fostering self-efficacy in following containment strategies and prosociality appears to be a viable public health education or communication strategy to combat COVID-19.",mds,True,findable,0,0,0,0,0,2023-04-18T04:38:34.000Z,2023-04-18T04:38:34.000Z,figshare.ars,otjm,"Medicine,Biotechnology,Sociology,FOS: Sociology,69999 Biological Sciences not elsewhere classified,FOS: Biological sciences,Science Policy,110309 Infectious Diseases,FOS: Health sciences","[{'subject': 'Medicine'}, {'subject': 'Biotechnology'}, {'subject': 'Sociology'}, {'subject': 'FOS: Sociology', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': '69999 Biological Sciences not elsewhere classified', 'schemeUri': 'http://www.abs.gov.au/ausstats/abs@.nsf/0/6BB427AB9696C225CA2574180004463E', 'subjectScheme': 'FOR'}, {'subject': 'FOS: Biological sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Science Policy'}, {'subject': '110309 Infectious Diseases', 'schemeUri': 'http://www.abs.gov.au/ausstats/abs@.nsf/0/6BB427AB9696C225CA2574180004463E', 'subjectScheme': 'FOR'}, {'subject': 'FOS: Health sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}]",,
-10.5281/zenodo.5535532,"Satellite-observed surface flow speed within Russell sector, West Greenland, bi-weekly average of 2015-2019",Zenodo,2021,en,Dataset,"Creative Commons Attribution 4.0 International,Open Access","An average horizontal surface ice velocity of Russell sector (Greenland) with 2-week temporal and 150m spatial resolution. Derived from satellite images collected between 2015 and 2019 by Landsat-8, Sentinel-1, and Sentinel-2. The details on the data processing can be found in https://doi.org/10.5194/tc-2021-170. <br> Dataset contains 24 independent NetCDF files (one per 2-weeks time step) with maps of vx and vy velocity components, maps of associated uncertainties per velocity component (STD of the 2-weeks averaged raw satellite measurements), and map of number of averaged measurements.",mds,True,findable,0,0,0,0,0,2021-10-05T10:02:05.000Z,2021-10-05T10:02:07.000Z,cern.zenodo,cern,"ice flow speed, seasonal, satellite measurements, Greenland, Russell","[{'subject': 'ice flow speed, seasonal, satellite measurements, Greenland, Russell'}]",,
-10.5281/zenodo.4804635,FIGURES 15–17 in Review and contribution to the stonefly (Insecta: Plecoptera) fauna of Azerbaijan,Zenodo,2021,,Image,Open Access,"FIGURES 15–17. Mermithids from Protonemura sp. (aculeata?) male from the Greater Caucasus—15: mermithids as seen by transparency through the abdominal sterna; 14: four mermithid specimens dissected from the male stonefly, according to mm scale; 17: abdomen of the stonefly opened at segments 2 and 3, with mermithids protruding.",mds,True,findable,0,0,2,0,0,2021-05-26T07:55:06.000Z,2021-05-26T07:55:07.000Z,cern.zenodo,cern,"Biodiversity,Taxonomy,Animalia,Arthropoda,Insecta,Plecoptera,Nemouridae,Protonemura","[{'subject': 'Biodiversity'}, {'subject': 'Taxonomy'}, {'subject': 'Animalia'}, {'subject': 'Arthropoda'}, {'subject': 'Insecta'}, {'subject': 'Plecoptera'}, {'subject': 'Nemouridae'}, {'subject': 'Protonemura'}]",,
-10.5281/zenodo.6078514,Earthquake Archaeological Effects documented in the Cusco area in 2019 (RISC project),Zenodo,2022,en,Dataset,"Creative Commons Attribution 4.0 International,Open Access","In 2019, the RISC project led to the implementation of an unprecedented archaeoseismological survey in the Cusco area, Peru. The main objective was to identify and map the earthquake-induced damage on the stone architecture of famous Inca archaeological sites. This spreadsheet summarizes all the observations. Each row corresponds to an Earthquake Archaeological Effect (EAE). For each strain structure, the columns contain information relative to the geographical and architectural contexts, the measurements and the level of confidence. The data were extracted from the RISC database, which supported the fieldwork. For more details about the design and structure of the RISC database please read: Combey et al. (2021) Monumental Inca remains and past seismic disasters: A relational database to support archaeoseismological investigations and cultural heritage preservation in the Andes, Journal of South American Earth Sciences, Volume 111, 103447,<br> https://doi.org/10.1016/j.jsames.2021.103447. The file is in support of the paper submitted to Quaternary International.",mds,True,findable,0,0,0,0,0,2022-07-10T10:37:48.000Z,2022-07-10T10:37:49.000Z,cern.zenodo,cern,"Archaeoseismology,Earthquake damage,Seismic Hazard,Cusco,Inca","[{'subject': 'Archaeoseismology'}, {'subject': 'Earthquake damage'}, {'subject': 'Seismic Hazard'}, {'subject': 'Cusco'}, {'subject': 'Inca'}]",,
-10.5281/zenodo.7382840,"DBnary in Ontolex, All Languages Archive 2017",Zenodo,2017,,Dataset,"Creative Commons Attribution 4.0 International,Open Access","The DBnary dataset is an extract of Wiktionary data from many language editions in RDF Format. Since July 1st 2017, the lexical data extracted from Wiktionary is modeled using the ontolex vocabulary. This dataset contains the archive of all DBnary dumps of 2017 in Ontolex format containing lexical information from wiktionary dumps of 2017 (post July 1st).",mds,True,findable,0,0,0,0,0,2022-11-30T16:23:54.000Z,2022-11-30T16:23:54.000Z,cern.zenodo,cern,"Wiktionary,Ontolex,Lexical Data,RDF,Bulgarian,German,Modern Greek,English,Spanish,Finnish,French,Indonesian,Italian,Japanese,Latin,Lithuanian,Malagasy,Dutch,Norvegian,Polish,Portuguese,Russian,Serbo Croatian,Swedish,Turkish","[{'subject': 'Wiktionary'}, {'subject': 'Ontolex'}, {'subject': 'Lexical Data'}, {'subject': 'RDF'}, {'subject': 'Bulgarian'}, {'subject': 'German'}, {'subject': 'Modern Greek'}, {'subject': 'English'}, {'subject': 'Spanish'}, {'subject': 'Finnish'}, {'subject': 'French'}, {'subject': 'Indonesian'}, {'subject': 'Italian'}, {'subject': 'Japanese'}, {'subject': 'Latin'}, {'subject': 'Lithuanian'}, {'subject': 'Malagasy'}, {'subject': 'Dutch'}, {'subject': 'Norvegian'}, {'subject': 'Polish'}, {'subject': 'Portuguese'}, {'subject': 'Russian'}, {'subject': 'Serbo Croatian'}, {'subject': 'Swedish'}, {'subject': 'Turkish'}]",,
-10.5281/zenodo.6400739,InLang: task-related language connectomes,Zenodo,2022,,Dataset,Closed Access,.,mds,True,findable,0,0,0,0,0,2022-03-31T15:23:33.000Z,2022-03-31T15:23:33.000Z,cern.zenodo,cern,"fMRI,Language,Connectome","[{'subject': 'fMRI'}, {'subject': 'Language'}, {'subject': 'Connectome'}]",,
-10.5281/zenodo.1489533,Brainstorm software 15-Nov-2018,Zenodo,2018,,Software,"Creative Commons Attribution 4.0 International,Open Access","Brainstorm snapshot from 15-Nov-2018, for replicability of a published analysis pipeline",mds,True,findable,0,0,0,0,0,2018-11-16T08:51:59.000Z,2018-11-16T08:52:00.000Z,cern.zenodo,cern,,,,
-10.5281/zenodo.8046630,Melissa: coordinating large-scale ensemble runs for deep learning and sensitivity analyses,Zenodo,2023,en,Software,"BSD 3-Clause Clear License,Open Access","Melissa is a file avoiding, fault tolerant and elastic framework, generalized to perform ensemble runs such as <em>large scale sensitivity analysis</em> and <em>large scale deep surrogate training</em> on supercomputers. Some of the largest Melissa studies so far employed up to 30k cores to execute 80 000 parallel simulations while avoiding up to 288 TB of intermediate data storage. These large-scale studies avoid intermediate file storage due to Melissa's ""online"" (also referred to as in-transit and on-the-fly) data handling approach. Melissa's architecture relies on three interacting components, the launcher, the server, and the client: Melissa client: the parallel numerical simulation code turned into a client. Each client sends its output to the server as soon as available. Clients are independent jobs. Melissa server: a parallelized process in charge of processing the data upon arrival from the distributed and parallelized clients (<em>e.g.</em> computing statistics or training a neural network). Melissa Launcher: the front-end Python script in charge of orchestrating the execution of the study. This piece of code interacts directly with <code>OpenMPI</code> or with the cluster scheduler (<em>e.g.</em> <code>slurm</code> or <code>OAR</code>) to submit and monitor the proper execution of all instances. The Melissa server component is designed to be specialized for various types of ensemble runs: Sensitivity Analysis (melissa-sa) Melissa's sensitivity analysis server is built around two key concepts: iterative (sometimes also called incremental) statistics algorithms and asynchronous client/server model for data transfer. Simulation outputs are never stored on disk. Instead, they are sent via NxM communication patterns from the simulations to a parallelized server. This method of data aggregation enables the calculation of rapid statistical fields in an iterative fashion, without storing any data to disk. Avoiding disk storage opens up the ability to compute oblivious statistical maps for all mesh elements, for every time step and on a full resolution study. Melissa comes with iterative algorithms for computing various statistical quantities (<em>e.g.</em> mean, variance, skewness, kurtosis and Sobol indices) and can easily be extended with new algorithms. Deep Surrogate Training (melissa-dl) Melissa's deep learning server adopts a similar philosophy. Clients communicate data in a round-robin fashion to the parallelized server. The multi-threaded server then puts and pulls data samples in and out of a buffer which is used for building training batches. Melissa can perform data distributed parallelism training on several GPUs, associating a buffer to each of them. To ensure a proper memory management during execution, samples are selected and evicted according to a predefined policy. This strategy enables the online training method shown in. Furthermore, the Melissa architecture is designed to accommodate popular deep learning libraries such as PyTorch or Tensorflow.",mds,True,findable,0,0,0,0,0,2023-06-16T09:40:23.000Z,2023-06-16T09:40:24.000Z,cern.zenodo,cern,"supercomputing,sensitivity analysis,deep learning,distributed systems,orchestration,ensemble runs","[{'subject': 'supercomputing'}, {'subject': 'sensitivity analysis'}, {'subject': 'deep learning'}, {'subject': 'distributed systems'}, {'subject': 'orchestration'}, {'subject': 'ensemble runs'}]",,
-10.5281/zenodo.163632,Trust 3D Dust Rt Slab Benchmark Data,Zenodo,2017,,Dataset,"Creative Commons Attribution 4.0,Open Access","Output global SEDs and images at selected wavelengths for the Slab benchmark of the TRUST collaboration. TRUST is a suite of benchmarks for 3D dust radiative transfer codes in astronomy.
-
-Paper describing the TRUST Slab benchmark is Gordon et al. (2017, A&A, 603, 114; http://adsabs.harvard.edu/abs/2017A&A...603A.114G)
-
-More details on TRUST at http://ipag.osug.fr/RT13/RTTRUST/.
-
-Code to make plots using this data at: https://github.com/karllark/trust_slab",,True,findable,1,0,0,0,0,2017-03-17T19:27:29.000Z,2017-03-17T19:27:29.000Z,cern.zenodo,cern,,,,
-10.6084/m9.figshare.23822157,Dataset for the replication experiment from Mirror exposure following visual body-size adaptation does not affect own body image,The Royal Society,2023,,Dataset,Creative Commons Attribution 4.0 International,Data for the replication experiment in CSV format.,mds,True,findable,0,0,0,0,0,2023-08-02T11:18:27.000Z,2023-08-02T11:18:27.000Z,figshare.ars,otjm,"Cognitive Science not elsewhere classified,Psychology and Cognitive Sciences not elsewhere classified","[{'subject': 'Cognitive Science not elsewhere classified'}, {'subject': 'Psychology and Cognitive Sciences not elsewhere classified'}]",['3105 Bytes'],
-10.5281/zenodo.5649825,"FIG. 42 in Two new species of Protonemura Kempny, 1898 (Plecoptera: Nemouridae) from Southern France",Zenodo,2021,,Image,Open Access,"FIG. 42—Localities of Protonemura lupina sp. n. in the southern French Alps: a = (spring) and b = (harnessed spring), tributaries to the Loup River, on the road to Courmes, 43.753N, 7.005E (Alpes-Maritimes) (photographs by Gilles Vinçon).",mds,True,findable,0,0,1,0,0,2021-11-05T21:12:00.000Z,2021-11-05T21:12:01.000Z,cern.zenodo,cern,"Biodiversity,Taxonomy,Animalia,Arthropoda,Insecta,Plecoptera,Nemouridae,Protonemura","[{'subject': 'Biodiversity'}, {'subject': 'Taxonomy'}, {'subject': 'Animalia'}, {'subject': 'Arthropoda'}, {'subject': 'Insecta'}, {'subject': 'Plecoptera'}, {'subject': 'Nemouridae'}, {'subject': 'Protonemura'}]",,
-10.5281/zenodo.4244325,"Configurations and scripts to reproduce the numerical simulations of ""A two-fluid model for immersed granular avalanches with dilatancy effects"" article",Zenodo,2020,en,Dataset,"Creative Commons Attribution 4.0 International,Open Access","This directory contains the main data to reproduce the results presented in the article ""A two-fluid model for immersed granular avalanches with dilatancy effects"" by Eduard Puig Montellà , Julien Chauchat, Bruno Chareyre, Cyrille Bonamy and Tian-Jian Hsu.<br> <br> The numerical results and experimental data extracted from Pailha et ad (2008) can be found inside ""NumericalData"" and ""ExperimentalData"" folders respectively. The script ""PressureVelocityPlot.py"" displays the evolution of the surface particle velocity and the excess of pore pressure with time for cases ranging from loose to dense granular avalanches. The input files needed to reproduce a dense granular avalanche (phi=0.592) in 1D and 2D are found in the following folders: ""1D_DenseCase"" and ""2D_DenseCase"". To accelerate the simulation, the files are given after 200 seconds of sedimentation in order to reach an equilibrium state. Please read the corresponding README.txt files to launch a 1D and/or a 2D simulation. Additionally, python scripts in each configuration are provided to evaluate the evolution of the main parameters during the avalanche.",mds,True,findable,0,0,0,0,0,2020-11-04T12:48:03.000Z,2020-11-04T12:48:04.000Z,cern.zenodo,cern,,,,
-10.5281/zenodo.4761349,"Fig. 83 in Two New Species Of Dictyogenus Klapálek, 1904 (Plecoptera: Perlodidae) From The Jura Mountains Of France And Switzerland, And From The French Vercors And Chartreuse Massifs",Zenodo,2019,,Image,"Creative Commons Attribution 4.0 International,Open Access","Fig. 83. Dictyogenus fontium species complex, female, subgenital plate. Inner-alpine upper Isère Valley. Col de l'Iseran, Savoie dpt, France. Photo A. Ruffoni.",mds,True,findable,0,0,6,0,0,2021-05-14T07:51:45.000Z,2021-05-14T07:51:45.000Z,cern.zenodo,cern,"Biodiversity,Taxonomy,Animalia,Arthropoda,Insecta,Plecoptera,Perlodidae,Dictyogenus","[{'subject': 'Biodiversity'}, {'subject': 'Taxonomy'}, {'subject': 'Animalia'}, {'subject': 'Arthropoda'}, {'subject': 'Insecta'}, {'subject': 'Plecoptera'}, {'subject': 'Perlodidae'}, {'subject': 'Dictyogenus'}]",,
-10.34847/nkl.5bcck3cz,"Moi, la Romanche",NAKALA - https://nakala.fr (Huma-Num - CNRS),2023,fr,Audiovisual,,"Au fil du temps, la Romanche s'est transformée, ses courbes aménagées, sa puissance exploitée, son destin capté. Mais cette rivière qu'a t-elle de singulier ?
-En partant de l'histoire de la rivière, en adoptant le point de vue des éléments naturels, en réinterrogeant l'usage des anciens habitants et en imaginant un futur à leur cours d'eau, les élèves ont construit une fable contemporaine sur leur territoire et son devenir.
-
-Ce film a été réalisé par le collectif ""Regards des lieux"", Printemps 2021, 15 min. 35 sec
-
-Film écrit et tourné par les élèves et les équipes pédagogiques des écoles de Livet-et-Gavet. Voir aussi le film ""Du village à l'écran"", réalisé avec les écoles en 2019.
-
-Merci à Bastien Bourdon, EDF Hydro, Christophe Séraudie, Mélanie Chiazza.
-
-Avec la participation de Fondation de France - Programme Grandir en culture, Communauté de communes de l'Oisans, Caisse d'allocation familiale de l'Isère.
-
-Regards des lieux est soutenu par Ville de Grenoble, Conseil départemental de l'Isère, Région Auvergne Rhône-Alpes, DRAC Région Auvergne Rhône-Alpes.",api,True,findable,0,0,0,0,0,2023-10-03T09:15:55.000Z,2023-10-03T09:15:56.000Z,inist.humanum,jbru,"""Mémoires des lieux,histoire orale,histoires de vie,enquêtes de terrain (ethnologie),Désindustrialisation,Patrimoine industriel,Pollution de l'air,Montagnes – aménagement,Énergie hydraulique,Rives – aménagement,Romanche, Vallée de la (France),Keller, Charles Albert (1874-1940 , Ingénieur A&M),patrimoine immatériel,Conditions de travail,classe ouvrière,Torrents,Risque,Chansons enfantines,enfants,voix,Attachement à un lieu","[{'lang': 'fr', 'subject': '""Mémoires des lieux'}, {'lang': 'fr', 'subject': 'histoire orale'}, {'lang': 'fr', 'subject': 'histoires de vie'}, {'lang': 'fr', 'subject': 'enquêtes de terrain (ethnologie)'}, {'lang': 'fr', 'subject': 'Désindustrialisation'}, {'lang': 'fr', 'subject': 'Patrimoine industriel'}, {'lang': 'fr', 'subject': ""Pollution de l'air""}, {'lang': 'fr', 'subject': 'Montagnes – aménagement'}, {'lang': 'fr', 'subject': 'Énergie hydraulique'}, {'lang': 'fr', 'subject': 'Rives – aménagement'}, {'lang': 'fr', 'subject': 'Romanche, Vallée de la (France)'}, {'lang': 'fr', 'subject': 'Keller, Charles Albert (1874-1940 , Ingénieur A&M)'}, {'lang': 'fr', 'subject': 'patrimoine immatériel'}, {'lang': 'fr', 'subject': 'Conditions de travail'}, {'lang': 'fr', 'subject': 'classe ouvrière'}, {'lang': 'fr', 'subject': 'Torrents'}, {'lang': 'fr', 'subject': 'Risque'}, {'lang': 'fr', 'subject': 'Chansons enfantines'}, {'lang': 'fr', 'subject': 'enfants'}, {'lang': 'fr', 'subject': 'voix'}, {'lang': 'fr', 'subject': 'Attachement à un lieu'}]",['596667242 Bytes'],['video/mp4']
-10.5281/zenodo.5506676,Bragg ptychography inversion package for paper - Revealing nano-scale lattice distortions in implanted material with 3D Bragg ptychography,Zenodo,2021,,Software,"Creative Commons Attribution 4.0 International,Open Access","This repository contains Matlab code and data to achieve 3D Bragg ptychography inversion as described in the paper [1].<br> It includes the following items:<br> 1/ data_for_inversion folder, it contains 3D diffraction patterns ordered sequencially in positional numbers. For an example, dps_pos_*.mat means the 3D diffraction pattern taken at position number *. The first two dimensions of the 3D diffraction pattern are the two axes from the detector, and the third dimension is the angular rotation axis. It also contains the mask (i.e. mask.mat) for the detector, since detectors can have modular gaps, and hot and dead pixels. Moreover, it has two masks (i.e. probe_ft_up1.mat and probe_ft_up3.mat) for the 2D probe function in reciprocal space. up1 and up3 respectively means the angular upsampling of 1 and 3 times.<br> 2/ initial_probes folder, it contains 3 different probes that were used as the initial probe guesses for the inversion codes. ptycho_characterisation.mat is the probe characterised from forward ptychography. probe_ft_50%wrong.mat is the Fourier transform of the nominated NA of the KB but 50% bigger. GauFunc_50%wrong.mat is a probe with Gaussian profile whose FWHM is 50% bigger than the nominated probe size.<br> 3/ codes folder, it contains all the codes for the inversion.<br> 4/ reconstruction.m file, it is the entry point of the inversion package and contains all the parameters related to the experiment and the reconstruction.",mds,True,findable,0,0,0,0,0,2021-09-23T11:37:30.000Z,2021-09-23T11:37:31.000Z,cern.zenodo,cern,"coherent diffraction imaging,x-ray 3D imaging,crystalline microscopy","[{'subject': 'coherent diffraction imaging'}, {'subject': 'x-ray 3D imaging'}, {'subject': 'crystalline microscopy'}]",,
-10.6084/m9.figshare.22649273,Additional file 1 of Predictors of changing patterns of adherence to containment measures during the early stage of COVID-19 pandemic: an international longitudinal study,figshare,2023,,Text,Creative Commons Attribution 4.0 International,Additional file 1: Supplementary Table 1. Measures used in the COVID-IMPACT study.,mds,True,findable,0,0,0,0,0,2023-04-18T04:38:30.000Z,2023-04-18T04:38:30.000Z,figshare.ars,otjm,"Medicine,Biotechnology,Sociology,FOS: Sociology,69999 Biological Sciences not elsewhere classified,FOS: Biological sciences,Science Policy,110309 Infectious Diseases,FOS: Health sciences","[{'subject': 'Medicine'}, {'subject': 'Biotechnology'}, {'subject': 'Sociology'}, {'subject': 'FOS: Sociology', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': '69999 Biological Sciences not elsewhere classified', 'schemeUri': 'http://www.abs.gov.au/ausstats/abs@.nsf/0/6BB427AB9696C225CA2574180004463E', 'subjectScheme': 'FOR'}, {'subject': 'FOS: Biological sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Science Policy'}, {'subject': '110309 Infectious Diseases', 'schemeUri': 'http://www.abs.gov.au/ausstats/abs@.nsf/0/6BB427AB9696C225CA2574180004463E', 'subjectScheme': 'FOR'}, {'subject': 'FOS: Health sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}]",['25409 Bytes'],
-10.5281/zenodo.8333896,Seeds of Life in Space – SOLIS,Zenodo,2023,,Dataset,"Creative Commons Attribution 4.0 International,Open Access","Life on Earth is based on carbon chemistry, likely because of the C atoms ability to form long chains and polymers and its relatively large cosmic abundance. The same chemistry holds everywhere in the Universe and it starts in the interstellar clouds, from where the progenitors of Suns and Solar-like planetary systems are born. As the Nobel Laureate C. de Duve (2005) wrote: “The building blocks of life form naturally in our Galaxy and, most likely, also elsewhere in the cosmos. The chemical seeds of life are universal.†As a matter of fact, out of more than 270 species detected in the ISM, about 80% contain C atoms, and all species with more than five atoms are C-bearing ones. The latter are known as interstellar Complex Organic Molecules (iCOMs) and may represent the foundational organic chemistry underlying terrestrial life. SOLIS is a NOEMA Large Program which has the overall goal of understanding the organic chemistry during the first steps of the formation of a Solar-like planetary system. To this end, the immediate SOLIS objective is to provide a homogeneous data set of observations of five crucial iCOMs in seven targets representative of Solar-like systems in their first evolutionary stages. The observations are designed to map several lines from each of the targeted iCOMs and, hence, determine their abundance as well as the physical conditions of the region where the lines are emitted, with a precision on 10000—100 au scales. Thanks to the NOEMA capabilities, several more iCOMs are detected that complement the primary species targeted, allowing for a more comprehensive chemical study of the observed regions. SOLIS has observed the following seven sources: L1544, representative of prestellar cores; L1521, a VeLLO (Very Low-Luminosity) source at the very early stages of protostellar evolution; NGC 1333-IRAS4A, a low-luminosity Class 0 binary system; CepE-mm, an intermediate-luminosity Class 0 source; NGC 1333-SVS13A, a low-luminosity Class I binary system; OMC-2 FIR4, a protocluster analogue of the one where the Solar System was born; L1157-B1, a molecular shock close to a Class 0 source. SOLIS has targeted the following five iCOMs: methanol (CH3OH), considered the mother of many other iCOMs; dimethyl ether (CH3OCH3; DME), methyl formate (HCOOCH3: MF) and formamide (NH2HCO), three commonly observed iCOMs that have been predicted to be formed both in the gas-phase and on the grain surfaces; methoxy (CH3O), a crucial precursor of several iCOMs. In addition, the SOLIS observations have provided information on acetaldehyde (CH3CHO), methyl cyanide (CH3CN), the two smallest cyanopolyynes (HC3N and HC5N), among other iCOMs, as well as simpler molecules such as S-bearing ones or rarer isotopologues of hydrogen, nitrogen and silicon. The official SOLIS repository is at IRAM, and it includes various types of data, such as uv-tables, continuum emission maps, and continuum-subtracted data cubes. Please do not hesitate to contact Cecilia Ceccarelli (cecilia.ceccarelli@univ-grenoble-alpes.fr) and Paola Caselli (caselli@mpe.mpg.de) for further questions or to inform them about the use of the data for further scientific analysis or publications. For a complete list of publications please visit the SOLIS publication web page. The following acknowledgment would be appreciated: “This work made use of data from the NOEMA Large Program SOLIS (Seeds Of Life In Space), Ceccarelli & Caselli et al. 2017, ApJ 850, 176.â€",mds,True,findable,0,0,0,0,0,2023-09-11T09:50:33.000Z,2023-09-11T09:50:34.000Z,cern.zenodo,cern,"astrochemistry, star forming regions, radio observations, telescopes","[{'subject': 'astrochemistry, star forming regions, radio observations, telescopes'}]",,
-10.5281/zenodo.8384883,Glacier runoff projections and their multiple sources of uncertainty in the Patagonian Andes (40-56°S),Zenodo,2023,,Dataset,"Creative Commons Attribution 4.0 International,Open Access","This dataset contains the catchment scale results of the study: ""<strong>Assessing the glacier projection uncertainties in the Patagonian Andes (40-56°S) from a catchment perspective</strong>"". The results are disaggregated in the following files (for more details, please read the README file): <em>- basins_boundaries.zip:</em> Contains the polygons (in .shp format) of the studied catchments. Each catchment is identified by its ""basin_id"". <em>- dataset_historical.csv: </em>Summarises the historical conditions of each glacier at the catchment scale (area, volume and reference climate). <em>- dataset_future.csv: </em>Summarises the future glacier climate drivers and their impacts at the catchment scale. <em>- dataset_signatures.csv: </em>Summarises the glacio-hydrological signatures for each catchment. The metrics are calculated for the variables ""total glacier runoff (tr)"" and ""melt on glacier (mg)"". The main source of uncertainty in each catchment was the source that accumulated most RMSE loss.",mds,True,findable,0,0,0,0,0,2023-10-05T18:35:16.000Z,2023-10-05T18:35:17.000Z,cern.zenodo,cern,"glacier runoff,Patagonia,uncertainty,Open Global Glacier Model,GlacierMIP,Andes,random forest,Patagonian Icefields","[{'subject': 'glacier runoff'}, {'subject': 'Patagonia'}, {'subject': 'uncertainty'}, {'subject': 'Open Global Glacier Model'}, {'subject': 'GlacierMIP'}, {'subject': 'Andes'}, {'subject': 'random forest'}, {'subject': 'Patagonian Icefields'}]",,
-10.5281/zenodo.10069275,The Effect of Typing Efficiency and Suggestion Accuracy on Usage of Word Suggestions and Entry Speed,Zenodo,2023,en,Dataset,Creative Commons Attribution 4.0 International,"Data collected during our experiments investigating the effect of suggestion accuracy and typing efficiency on usage of word suggestions, and entry speed",api,True,findable,0,0,0,0,0,2023-11-03T12:54:51.000Z,2023-11-03T12:54:51.000Z,cern.zenodo,cern,"writing,word suggestions","[{'subject': 'writing'}, {'subject': 'word suggestions'}]",,
-10.5281/zenodo.4760505,"Fig. 25 in Contribution To The Knowledge Of The Moroccan High And Middle Atlas Stoneflies (Plecoptera, Insecta)",Zenodo,2014,,Image,"Creative Commons Attribution 4.0 International,Open Access",Fig. 25. Distribution of Capnioneura atlasica sp. n. and C. petitpierreae in western Maghreb.,mds,True,findable,0,0,2,0,0,2021-05-14T05:28:24.000Z,2021-05-14T05:28:25.000Z,cern.zenodo,cern,"Biodiversity,Taxonomy,Animalia,Arthropoda,Insecta,Plecoptera,Capniidae,Capnioneura","[{'subject': 'Biodiversity'}, {'subject': 'Taxonomy'}, {'subject': 'Animalia'}, {'subject': 'Arthropoda'}, {'subject': 'Insecta'}, {'subject': 'Plecoptera'}, {'subject': 'Capniidae'}, {'subject': 'Capnioneura'}]",,
-10.5281/zenodo.8155231,compute-NPQ,Zenodo,2023,,Software,"MIT License Modern Variant,Open Access",This Python script performs various image processing operations on a set of images from confocal microscopy to compute NPQ (Non-Photochemical Quenching). The script is named compute_npq.py and requires Python 3 or later. A sample of input '.png' files is available in the data folder and can be used as described in READM.md file. compute-NPQ.zip,mds,True,findable,0,0,0,1,0,2023-07-17T13:51:07.000Z,2023-07-17T13:51:07.000Z,cern.zenodo,cern,,,,
-10.5281/zenodo.7828494,X-ray Fluorescence Ghost Imaging - CuSn mask - Three Wires (Fe & Cu),Zenodo,2023,en,Dataset,"Creative Commons Attribution 4.0 International,Open Access","X-ray Fluorescence Ghost Imaging (XRF-GI) dataset of three wires (one Fe, and two Cu) in a plastic capillary. The capillary contains trace elements like Zn, Zr, etc. The GI scan is presented in the following article <insert doi here>. A total of 896 GI realizations were taken, organized in 16 vertical translations and 56 horizontal translations of the structuring element (CuSn mask).<br> The dataset contains both the sample transmission images, and the masks plus sample transmission images. No images of the masks are provided (they need to be computed). The data is organized in a HDF5 file, under the following structure: <pre><code>dataset_CuSn-mask_3wires.h5 │ ├data │ ├flat_panel │ │ ├dark [float32: 16 × 170 × 350] │ │ ├empty_beam [float32: 170 × 350] │ │ ├sample [float32: 16 × 170 × 350] │ │ └sample_and_masks [float32: 16 × 56 × 170 × 350] │ └xrf [float32: 16 × 56 × 4096] │ └metadata └xrf ├bias_keV [float64: scalar] ├gain_keV [float64: scalar] └ranges ├Ca [int64: 2] ├Cu [int64: 2] ├Fe [int64: 2] ├Si [int64: 2] ├Ti [int64: 2] ├Zn [int64: 2] └Zr [int64: 2] </code></pre> The meaning of the paths is: <code>/data/xrf</code> contains the XRF spectra for each GI realization <code>/data/flat_panel/dark</code> contains the dark images of each scan line (no beam) <code>/data/flat_panel/empty_beam</code> contains the empty beam (no sample & no masks) intensity distribution <code>/data/flat_panel/sample</code> contains the transmission images of the sample at each scan line <code>/data/flat_panel/sample</code>_and_masks contains the transmission images of the sample and masks at each GI realization <code>/metadata/xrf/bias_keV</code> contains the bias in keV of the XRF spectrum <code>/metadata/xrf/gain_keV</code> contains the gain in keV of each XRF energy bin <code>/metadata/xrf/ranges/</code> contains the bin ranges for interesting K<sub>alpha</sub> elemental emission lines in the XRF spectrum For further information we refer to the associated publication.",mds,True,findable,0,0,0,1,0,2023-06-28T09:55:33.000Z,2023-06-28T09:55:33.000Z,cern.zenodo,cern,"ghost imaging,x-ray fluorescence,xrf,xrf-gi,single-pixel","[{'subject': 'ghost imaging'}, {'subject': 'x-ray fluorescence'}, {'subject': 'xrf'}, {'subject': 'xrf-gi'}, {'subject': 'single-pixel'}]",,
-10.5281/zenodo.5237188,Serbo-Croatian DBnary archive in original Lemon format,Zenodo,2021,,Dataset,"Creative Commons Attribution Share Alike 4.0 International,Open Access","The DBnary dataset is an extract of Wiktionary data from many language editions in RDF Format. Until July 1st 2017, the lexical data extracted from Wiktionary was modeled using the lemon vocabulary. This dataset contains the full archive of all DBnary dumps in Lemon format containing lexical information from Serbo-Croatian language edition, ranging from 16th April 2015 to 1st July 2017. After July 2017, DBnary data has been modeled using the ontolex model and will be available in another Zenodo entry.",mds,True,findable,0,0,0,0,0,2021-08-23T18:31:03.000Z,2021-08-23T18:31:05.000Z,cern.zenodo,cern,"Wiktionary,Lemon,Lexical Data,RDF","[{'subject': 'Wiktionary'}, {'subject': 'Lemon'}, {'subject': 'Lexical Data'}, {'subject': 'RDF'}]",,
-10.5281/zenodo.4759511,"Figs. 65-66 in Contribution To The Knowledge Of The Protonemura Corsicana Species Group, With A Revision Of The North African Species Of The P. Talboti Subgroup (Plecoptera: Nemouridae)",Zenodo,2009,,Image,"Creative Commons Attribution 4.0 International,Open Access",Figs. 65-66. Habitus of the micropterous form of Protonemura dakkii sp. n. 65: male imago; 66: not matured larva (scale 1 mm).,mds,True,findable,0,0,2,0,0,2021-05-14T02:27:13.000Z,2021-05-14T02:27:14.000Z,cern.zenodo,cern,"Biodiversity,Taxonomy,Animalia,Arthropoda,Insecta,Plecoptera,Nemouridae,Protonemura","[{'subject': 'Biodiversity'}, {'subject': 'Taxonomy'}, {'subject': 'Animalia'}, {'subject': 'Arthropoda'}, {'subject': 'Insecta'}, {'subject': 'Plecoptera'}, {'subject': 'Nemouridae'}, {'subject': 'Protonemura'}]",,
-10.5281/zenodo.7307793,SolSysELTs2022 Part II: Observing asteroids and trans-Neptunian objects with MICADO/MAORY,Zenodo,2022,en,Audiovisual,"Creative Commons Attribution 4.0 International,Open Access",Contributed talk: presentation and video recording,mds,True,findable,0,0,0,0,0,2022-11-09T12:23:20.000Z,2022-11-09T12:23:21.000Z,cern.zenodo,cern,,,,
-10.5281/zenodo.1199545,Voter Autrement 2017 - Online Experiment,Zenodo,2018,en,Dataset,"Open Data Commons Open Database License 1.0,Open Access","In March and April 2017, we have run a voting experiment during the French presidential election. During this experiment, participants were asked to test several alternative voting methods to elect the French president, like scoring methods, instant-runoff voting, Borda with partial rankings. The experiment was both carried out <em>in situ</em> in polling stations during the first round of the presidential election (using paper ballots), and online during the month preceding the first round, and until the second round of the election (using a web application). A total of 6358 participants took part to the <em>in situ</em> experiment and 37739 participants took part to the online experiment. This dataset contains the answers provided by the participants to the online experiment, with no other processsing than a basic transformation to a set of CSV files.
-
-
-
-The companion paper available on this repository describes the experimental protocol, the format of the files, and summarizes the precise conditions under which this dataset is available.",legacy,True,findable,0,0,0,0,0,2018-07-25T17:16:23.000Z,2018-07-25T17:17:45.000Z,cern.zenodo,cern,"Election,Social Choice,Experimental Voting","[{'subject': 'Election'}, {'subject': 'Social Choice'}, {'subject': 'Experimental Voting'}]",,
-10.5281/zenodo.3552836,Rekyt/ssdms_saturation_richness: Accepted version,Zenodo,2019,en,Software,"MIT License,Open Access","Is prediction of species richness from Stacked Species Distribution Models biased by habitat saturation? This repository contains the data and code for our paper: Grenié M., Violle C, Munoz F. * Is prediction of species richness from Stacked Species Distribution Models biased by habitat saturation?<em>. accepted in </em>Ecological Indicators*. How to cite Please cite this compendium as: Grenié M., Violle C, Munoz F., (2019). <em>Compendium of R code and data for Is prediction of species richness from Stacked Species Distribution Models biased by habitat saturation?</em>. Accessed 02 déc. 2019. Online at https://doi.org/10.5281/zenodo.3552836 🔧 How to download or install You can download the compendium as a zip from from this URL: Or you can install this compendium as an R package, `cssdms.saturation.richness, from GitHub with: <pre><code># install.packages(""devtools"") remotes::install_github(""Rekyt/ssdms_saturation_richness"")</code></pre> 💻 How to run the analyses This compendium uses <code>drake</code> to make analyses reproducible. To redo the analyses and rebuild the manuscript run the following lines (from the <code>ssdms_saturation_richness</code> folder): <pre><code># install.packages(""devtools"") pkgload::load_all() # Load all functions included in the package make(saturation_workflow()) # Run Analyses</code></pre> Beware that some code make time a long time to run, and it may be useful to run analyses in parallel. ##You can run the analyses by clicking on the <code>Binder</code> badge: Dependencies As noted in the <code>DESCRPTION</code> files this project depends on: <code>virtualspecies</code>, to simulate species; <code>drake</code>, to execute a reproducible workflow; the <code>tidyverse</code> (<code>dplyr</code>, <code>ggplot2</code>, <code>purrr</code>, and <code>tidyr</code>) for data wrangling; <code>ggpubr</code> to customize plot",mds,True,findable,0,0,0,0,0,2019-11-25T17:36:15.000Z,2019-11-25T17:36:16.000Z,cern.zenodo,cern,"habitat saturation,stacked species distribution model,species richness,predicted presence probabilities,threshold-based presence prediction","[{'subject': 'habitat saturation'}, {'subject': 'stacked species distribution model'}, {'subject': 'species richness'}, {'subject': 'predicted presence probabilities'}, {'subject': 'threshold-based presence prediction'}]",,
-10.57745/bywea3,Long-term monitoring of near-surface soil temperature in high-elevation alpine grasslands,Recherche Data Gouv,2023,,Dataset,,"Monitoring of near-surface soil temperature in European mountain meadows. Data are collected as part of the ANR project ODYSSEE (Projet-ANR-13-ISV7-0004). Data include a GPS position, a date and time in UTC and a near-surface soil temperature (in °C) measured at 5 cm belowground using stand-alone temperature data logger.",mds,True,findable,20,0,0,0,0,2023-03-27T13:30:34.000Z,2023-07-18T07:52:17.000Z,rdg.prod,rdg,,,,
-10.6084/m9.figshare.21341628,Additional file 1 of Expiratory high-frequency percussive ventilation: a novel concept for improving gas exchange,figshare,2022,,Text,Creative Commons Attribution 4.0 International,Additional file 1: Details of the simulation study and additional data for respiratory mechanics.,mds,True,findable,0,0,0,0,0,2022-10-16T03:12:48.000Z,2022-10-16T03:12:49.000Z,figshare.ars,otjm,"Biophysics,Space Science,Medicine,Physiology,FOS: Biological sciences,Biotechnology,Cancer","[{'subject': 'Biophysics'}, {'subject': 'Space Science'}, {'subject': 'Medicine'}, {'subject': 'Physiology'}, {'subject': 'FOS: Biological sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Biotechnology'}, {'subject': 'Cancer'}]",['86600 Bytes'],
-10.5281/zenodo.5793694,Nitrate δ15N values and surface mass balance reconstructions from East Antarctica,Zenodo,2021,en,Dataset,"Creative Commons Attribution 4.0 International,Open Access","Geographic information, surface mass balance (SMB) data, and sub-photic zone (>0.3 m) nitrate concentration and nitrogen isotopic composition (δ15NNO3) for 135 sites across East Antarctica. This database was used to examine and define the relationship between δ15NNO3 and SMB in Antarctica as part of the SCADI (Snow Core Accumulation from Delta-15N Isotopes) and EAIIST (East Antarctic International Ice Sheet Traverse) projects. Of these 135 sites, 92 are newly reported here while the other site data were previously published and are cited accordingly. Snow bearing nitrate was sampled from snow pits and firn/ice cores at different dates depending on the original scientific campaign, but predominately between 2010 and 2020, with the earliest sampling occurring in 2004. Nitrate was later extracted from the snow, concentrated, and analyzed for δ15NNO3. Surface mass balance data comes from a combination of previous ground-based observations (e.g., stakes, ice core data) and the output from Modèle Atmosphérique Régional version 3.6.4 with European Centre for Medium-Range Weather Forecasts “Interim†re-analysis data (ERA-interim) data, adjusted for observed model SMB biases. Elevation data were extracted from the Reference Elevation Model of Antarctica (REMA, https://doi.org/10.5194/tc-13-665-2019). Also contains nitrate concentration and isotopic (δ15NNO3) data, ice density, and surface mass balance estimates from the ABN1314-103 ice core. This 103 m long core was drilled beginning on 07 January 2014 as one of three ice cores at Aurora Basin North, Antarctica (-71.17, 111.37, 2679 m.a.s.l), in the 2013-2014 field season. The age-depth model for ABN1314-103 was matched through ion profiles from an annually-resolved model (ALC01112018) originally developed for one of the other ABN cores through seasonal ion and water isotope cycles and constrained by volcanic horizons. Each 1 m segment of the core was weighed and measured for ice density calculations, and then sampled for nitrate at 0.33 m resolution. Nitrate concentrations were taken on melted ice aliquots with ion chromatography, while isotopic analysis was achieved through bacterial denitrification and MAT 253 mass spectrometry after concentrating with anionic resin. Using the density data and the age-depth model’s dates for the top and bottom of each 1 m core segment, we reconstructed a history of surface mass balance changes as recorded in ABN1314-103. Additionally, we also estimated the effect of upstream topographic changes on the ice core’s surface mass balance record through a ground penetrating radar transect that extended 11.5 km against the direction of glacial ice flow. The modern SMB changes along this upstream transect were linked to ABN1314-103 core depths by through the local horizontal ice flow rate (16.2 m a-1) and the core’s age-depth model, and included here for comparative analysis.",mds,True,findable,0,0,0,0,0,2021-12-20T14:57:45.000Z,2021-12-20T14:57:45.000Z,cern.zenodo,cern,,,,
-10.57726/9c6a-cb74,"La Maison de Savoie et les Alpes: emprise, innovation, identification",Presses Universitaires Savoie Mont Blanc,2015,fr,Book,,,fabricaForm,True,findable,0,0,0,0,0,2022-03-14T08:25:25.000Z,2022-03-14T08:25:25.000Z,pusmb.prod,pusmb,FOS: Humanities,"[{'subject': 'FOS: Humanities', 'valueUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'schemeUri': 'http://www.oecd.org/science/inno', 'subjectScheme': 'Fields of Science and Technology (FOS)'}]",['439 pages'],
-10.5281/zenodo.61611,Development of a probabilistic ocean modelling system based on NEMO 3.5: application at eddying resolution,Zenodo,2016,,Software,"GNU General Public License v2.0 only,Open Access","<strong>This sources presents the technical implementation of a new, probabilistic version based on NEMO 3.5 ocean/sea-ice modelling system (Bessières et al., 2017).</strong> Ensemble simulations with N members running simultaneously within a single executable, and interacting mutually if needed, are made possible through an enhanced MPI strategy including a double parallelization in the spatial and ensemble dimensions. An example application is then given to illustrate the implementation, performances and potential use of this novel probabilistic modelling tool. A large ensemble of 50 global ocean/sea-ice hindcasts has been performed over the period 1960-2015 at eddy-permitting resolution (1/4 o ) for the OCCIPUT project. This application is aimed to simultaneously simulate the intrinsic/chaotic and the atmospherically-forced contributions to the ocean variability, from meso-scale turbulence to interannual-to-multidecadal time scales. Such an ensemble indeed provides a unique way to disentangle and study both contributions, as the forced variability may be estimated through the ensemble mean, and the intrinsic chaotic variability may be estimated through the ensemble spread. <strong>Reference</strong>: Bessières, L., Leroux, S., Brankart, J.-M., Molines, J.-M., Moine, M.-P., Bouttier, P.-A., Penduff, T., Terray, L., Barnier, B., and Sérazin, G.: <em>Development of a probabilistic ocean modelling system based on NEMO 3.5: application at eddying resolution</em>, Geosci. Model Dev., 10, 1091-1106, doi:10.5194/gmd-10-1091-2017, 2017.",mds,True,findable,0,0,0,0,0,2016-09-06T09:54:06.000Z,2016-09-06T09:54:07.000Z,cern.zenodo,cern,"NEMO,Ocean Modelling,Eddy-permitting,Probabilist ocean,Intrinsic variability,Ensemble simulation,OCCIPUT project","[{'subject': 'NEMO'}, {'subject': 'Ocean Modelling'}, {'subject': 'Eddy-permitting'}, {'subject': 'Probabilist ocean'}, {'subject': 'Intrinsic variability'}, {'subject': 'Ensemble simulation'}, {'subject': 'OCCIPUT project'}]",,
-10.5281/zenodo.4573897,Nanoscale Dynamics of Peptidoglycan Assembly during the Cell Cycle of Streptococcus pneumoniae,Zenodo,2021,,Dataset,"Creative Commons Attribution 4.0 International,Open Access","Raw phase contrast images to analyze the shape of <em>Streptococcus pneumoniae</em> cells in the presence of aDA-DA. Raw phase contrast and diffraction-limited images to determine the aDA-DA concentration to use for peptidoglycan labeling in <em>S. pneumoniae</em>. Raw phase contrast and diffraction-limited images to determine the effect of D-cycloserine on aDA and aDA-DA incorporation in <em>S. pneumoniae</em>. Raw bright field, diffraction-limited and dSTORM images to determine the duration of the incubation period with aDA-DA for peptidoglycan labeling in <em>S. pneumoniae</em>. Raw western blot images to analyze the depletion level of PBP2b in <em>S. pneumoniae</em>. Raw bright field, diffraction-limited and dSTORM images to analyze peptidoglycan synthesis in <em>S. pneumoniae</em>.",mds,True,findable,0,0,0,0,0,2021-03-09T14:53:30.000Z,2021-03-09T14:53:31.000Z,cern.zenodo,cern,,,,
-10.5281/zenodo.3817437,"Search Queries for ""Mapping Research Output to the Sustainable Development Goals (SDGs)"" v3.0",Zenodo,2019,,Software,"Creative Commons Attribution 4.0 International,Open Access","<strong>This package contains machine readable (xml) search queries, for the Scopus publication database, to find domain specific research output that are related to the 17 Sustainable Development Goals (SDGs).</strong> Sustainable Development Goals are the 17 global challenges set by the United Nations. Within each of the goals specific targets and indicators are mentioned to monitor the progress of reaching those goals by 2030. In an effort to capture how research is contributing to move the needle on those challenges, we earlier have made an initial classification model than enables to quickly identify what research output is related to what SDG. (This Aurora SDG dashboard is the initial outcome as <em>proof of practice</em>.) The initiative started from the Aurora Universities Network in 2017, in the working group ""Societal Impact and Relevance of Research"", to investigate and to make visible 1. what research is done that are relevant to topics or challenges that live in society (for the proof of practice this has been scoped down to the SDGs), and 2. what the effect or impact is of implementing those research outcomes to those societal challenges (this also have been scoped down to research output being cited in policy documents from national and local governments an NGO's). The classification model we have used are 17 different search queries on the Scopus database. The search queries are elegant constructions with keyword combinations and boolean operators, in the syntax specific to the Scopus Query Language. We have used Scopus because it covers more research area's that are relevant to the SDG's, and we could filter much easier the Aurora Institutions. <strong>Versions</strong> Different versions of the search queries have been made over the past years to improve the precision (soundness) and recall (completeness) of the results. The queries have been made in a team effort by several bibliometric experts from the Aurora Universities. Each one did two or 3 SDG's, and than reviewed each other's work. v1.0 January 2018<em> Initial 'strict' version.</em> In this version only the terms were used that appear in the SDG policy text of the targets and indicators defined by the UN. At this point we have been aware of the SDSN Compiled list of keywords, and used them as inspiration. Rule of thumb was to use <em>keyword-combination searches</em> as much as possible rather than <em>single-keyword searches</em>, to be more precise rather than to yield large amounts of false positive papers. Also we did not use the inverse or 'NOT' operator, to prevent removing true positives from the result set. This version has not been reviewed by peers. Download from: GitHub / Zenodo v2.0 March 2018<em> Reviewed 'strict' version.</em> Same as version 1, but now reviewed by peers. Download from: GitHub / Zenodo v3.0 May 2019 <em>'echo chamber' version.</em> We noticed that using strictly the terms that policy makers of the UN use in the targets and indicators, that much of the research that did not use that specific terms was left out in the result set. (eg. ""mortality"" vs ""deaths"") To increase the recall, without reducing precision of the papers in the results, we added keywords that were obvious synonyms and antonyms to the existing 'strict' keywords. This was done based on the keywords that appeared in papers in the result set of version 2. This creates an 'echo chamber', that results in more of the same papers. Download from: GitHub / Zenodo v4.0 August 2019<em> uniform 'split' version.</em> Over the course of the years, the UN changed and added Targets and indicators. In order to keep track of if we missed a target, we have split the queries to match the targets within the goals. This gives much more control in maintenance of the queries. Also in this version the use of brackets, quotation marks, etc. has been made uniform, so it also works with API's, and not only with GUI's. His version has been used to evaluate using a survey, to get baseline measurements for the precision and recall. Published here: Survey data of ""Mapping Research output to the SDGs"" by Aurora Universities Network (AUR) doi:10.5281/zenodo.3798385. Download from: GitHub / Zenodo v5.0 June 2020 <em>'improved' version.</em> In order to better reflect academic representation of research output that relate to the SDG's, we have added more keyword combinations to the queries to increase the recall, to yield more research papers related to the SDG's, using academic terminology. We mainly used the input from the Survey data of ""Mapping Research output to the SDGs"" by Aurora Universities Network (AUR) doi:10.5281/zenodo.3798385. We ran several text analyses: Frequent term combination in title and abstracts from Suggested papers, and in selected (accepted) papers, suggested journals, etc. Secondly we got inspiration out of the Elsevier SDG queries Jayabalasingham, Bamini; Boverhof, Roy; Agnew, Kevin; Klein, Lisette (2019), “Identifying research supporting the United Nations Sustainable Development Goalsâ€, Mendeley Data, v1 https://dx.doi.org/10.17632/87txkw7khs.1. Download from: GitHub / Zenodo <strong>Contribute and improve the SDG Search Queries</strong> We welcome you to join the Github community and to fork, improve and make a pull request to add your improvements to the new version of the SDG queries. <strong>https://github.com/Aurora-Network-Global/sdg-queries</strong>",mds,True,findable,3,0,2,0,0,2020-05-15T13:26:26.000Z,2020-05-15T13:26:27.000Z,cern.zenodo,cern,"Sustainable Development Goals,SDG,Classification model,Search Queries,SCOPUS","[{'subject': 'Sustainable Development Goals'}, {'subject': 'SDG'}, {'subject': 'Classification model'}, {'subject': 'Search Queries'}, {'subject': 'SCOPUS'}]",,
-10.5281/zenodo.5763672,Dataset for Spatial Heterogeneity of Uplift Pattern in the Western European Alps Revealed by InSAR Time Series Analysis,Zenodo,2021,,Dataset,"Creative Commons Attribution 4.0 International,Open Access",ZIP file with InSAR raw and smoothed final velocity solution values,mds,True,findable,0,0,0,0,0,2021-12-07T10:30:20.000Z,2021-12-07T10:30:21.000Z,cern.zenodo,cern,"Insar velocities,Western Alps","[{'subject': 'Insar velocities'}, {'subject': 'Western Alps'}]",,
-10.5281/zenodo.7961207,A new inventory of High Mountain Asia surging glaciers derived from multiple elevation datasets since the 1970s,Zenodo,2023,en,Dataset,"Creative Commons Attribution 4.0 International,Open Access","Glacier surging is an unusual undulation instability of ice flow and complete surging glacier inventories are important for regional mass balance studies and assessing glacier-related hazards. Glacier surge events in High Mountain Asia (HMA) are widely reported. Through the estimated elevation changes from multiple DEMs sources that acquired from 1970s to 2020, and morphologic changes from 1986 to 2021, here we present a new surging glacier inventory across HMA. The inventory has incorporated 890 surging and 336 surge-like glaciers, each glacier is assigned with indicators of surging feature and surge possibility. Compared to previous surging glacier inventory in HMA, our inventory is theoretically more complete because of the much longer observation period. This data repository contains the surging glacier inventory and glacier elevation change maps. The inventory is stored in the format of GeoPackage (.gpkg) and ESRI Shapefile format (.shp), which is represented by glacier polygon (from GAMDAM2) or surface point with geometric attributes. The multi-temporal elevation change maps of identified surging glaciers were divided into 1×1° tiles, storing in the format of GeoTiff(*.tif). Detailed description of the dataset including the file contents and attributes information can be found in the metadata file (README.txt).",mds,True,findable,0,0,0,0,0,2023-05-24T04:24:15.000Z,2023-05-24T04:24:16.000Z,cern.zenodo,cern,"High Mountain Asia, Surging glacier inventory, Elevation change, Digital Elevation Model (DEM)","[{'subject': 'High Mountain Asia, Surging glacier inventory, Elevation change, Digital Elevation Model (DEM)'}]",,
-10.5281/zenodo.4048589,Sources of particulate matter air pollution and its oxidative potential in Europes,Zenodo,2020,,Dataset,"Creative Commons Attribution 4.0 International,Open Access","Data presented in the manuscript ""Sources of particulate matter air pollution and its oxidative potential in Europe"" (https://doi.org/10.1038/s41586-020-2902-8) by Daellenbach et al. (2020).",mds,True,findable,0,0,0,0,0,2020-11-18T16:07:33.000Z,2020-11-18T16:07:34.000Z,cern.zenodo,cern,"particulate air pollution,health effects,oxidative potential","[{'subject': 'particulate air pollution'}, {'subject': 'health effects'}, {'subject': 'oxidative potential'}]",,
-10.5281/zenodo.10053093,COSIPY distributed simulations of Mera Glacier mass and energy balance (20161101-20201101),Zenodo,2023,,Dataset,"Creative Commons Attribution 4.0 International,Creative Commons Attribution Share Alike 4.0 International","The four netCDF files contain outputs from COSIPY model (Sauter et al., 2020) for Mera Glacier for the period 20161101 to 20201101. The model is run on a 0.003°*0.003° grid, and forced with meteological variables collected locally and distributed with constant gradients. The ""constants.py"" is the python file that contains the specific model settings.",api,True,findable,0,0,0,0,0,2023-10-30T09:06:58.000Z,2023-10-30T09:06:58.000Z,cern.zenodo,cern,,,,
-10.5281/zenodo.4282267,SPEECH-COCO,Zenodo,2017,en,Dataset,"Creative Commons Attribution 4.0 International,Open Access","<strong>SpeechCoco</strong> <em>Introduction</em> Our corpus is an extension of the MS COCO image recognition and captioning dataset. MS COCO comprises images paired with a set of five captions. Yet, it does not include any speech. Therefore, we used Voxygen's text-to-speech system to synthesise the available captions. The addition of speech as a new modality enables MSCOCO to be used for researches in the field of language acquisition, unsupervised term discovery, keyword spotting, or semantic embedding using speech and vision. Our corpus is licensed under a Creative Commons Attribution 4.0 License. <em>Data Set</em> This corpus contains <strong>616,767</strong> spoken captions from MSCOCO's val2014 and train2014 subsets (respectively 414,113 for train2014 and 202,654 for val2014). We used 8 different voices. 4 of them have a British accent (Paul, Bronwen, Judith, and Elizabeth) and the 4 others have an American accent (Phil, Bruce, Amanda, Jenny). In order to make the captions sound more natural, we used SOX <em>tempo</em> command, enabling us to change the speed without changing the pitch. 1/3 of the captions are 10% slower than the original pace, 1/3 are 10% faster. The last third of the captions was kept untouched. We also modified approximately 30% of the original captions and added <strong>disfluencies</strong> such as ""um"", ""uh"", ""er"" so that the captions would sound more natural. Each WAV file is paired with a JSON file containing various information: timecode of each word in the caption, name of the speaker, name of the WAV file, etc. The JSON files have the following data structure: <pre><code class=""language-json"">{ ""duration"": float, ""speaker"": string, ""synthesisedCaption"": string, ""timecode"": list, ""speed"": float, ""wavFilename"": string, ""captionID"": int, ""imgID"": int, ""disfluency"": list }</code></pre> On average, each caption comprises 10.79 tokens, disfluencies included. The WAV files are on average 3.52 seconds long. <em>Repository</em> The repository is organized as follows: CORPUS-MSCOCO (~75GB once decompressed) <strong>train2014/</strong> : folder contains 413,915 captions json/ wav/ translations/ train_en_ja.txt train_translate.sqlite3 train_2014.sqlite3 <strong>val2014/</strong> : folder contains 202,520 captions json/ wav/ translations/ train_en_ja.txt train_translate.sqlite3 val_2014.sqlite3 <strong>speechcoco_API/</strong> speechcoco/ __init__.py speechcoco.py setup.py <em>Filenames</em> <strong>.wav</strong> files contain the spoken version of a caption <strong>.json</strong> files contain all the metadata of a given WAV file <strong>.sqlite3</strong> files are SQLite databases containing all the information contained in the JSON files We adopted the following naming convention for both the WAV and JSON files: <em>imageID_captionID_Speaker_DisfluencyPosition_Speed[.wav/.json]</em> <em>Script</em> We created a script called <strong>speechcoco.py</strong> in order to handle the metadata and allow the user to easily find captions according to specific filters. The script uses the *.db files. Features: <strong>Aggregate all the information in the JSON files into a single SQLite database</strong> <strong>Find captions according to specific filters (name, gender and nationality of the speaker, disfluency position, speed, duration, and words in the caption).</strong> <em>The script automatically builds the SQLite query. The user can also provide his own SQLite query.</em> <em>The following Python code returns all the captions spoken by a male with an American accent for which the speed was slowed down by 10% and that contain ""keys"" at any position</em> <pre><code class=""language-python""># create SpeechCoco object db = SpeechCoco(train_2014.sqlite3, train_translate.sqlite3, verbose=True) # filter captions (returns Caption Objects) captions = db.filterCaptions(gender=""Male"", nationality=""US"", speed=0.9, text='%keys%') for caption in captions: print('\n{}\t{}\t{}\t{}\t{}\t{}\t\t{}'.format(caption.imageID, caption.captionID, caption.speaker.name, caption.speaker.nationality, caption.speed, caption.filename, caption.text))</code></pre> <pre><code>... 298817 26763 Phil 0.9 298817_26763_Phil_None_0-9.wav A group of turkeys with bushes in the background. 108505 147972 Phil 0.9 108505_147972_Phil_Middle_0-9.wav Person using a, um, slider cell phone with blue backlit keys. 258289 154380 Bruce 0.9 258289_154380_Bruce_None_0-9.wav Some donkeys and sheep are in their green pens . 545312 201303 Phil 0.9 545312_201303_Phil_None_0-9.wav A man walking next to a couple of donkeys. ...</code></pre> <strong>Find all the captions belonging to a specific image</strong> <pre><code class=""language-python"">captions = db.getImgCaptions(298817) for caption in captions: print('\n{}'.format(caption.text))</code></pre> <pre><code>Birds wondering through grassy ground next to bushes. A flock of turkeys are making their way up a hill. Um, ah. Two wild turkeys in a field walking around. Four wild turkeys and some bushes trees and weeds. A group of turkeys with bushes in the background.</code></pre> <strong>Parse the timecodes and have them structured</strong> <strong>input</strong>: <pre><code>... [1926.3068, ""SYL"", """"], [1926.3068, ""SEPR"", "" ""], [1926.3068, ""WORD"", ""white""], [1926.3068, ""PHO"", ""w""], [2050.7955, ""PHO"", ""ai""], [2144.6591, ""PHO"", ""t""], [2179.3182, ""SYL"", """"], [2179.3182, ""SEPR"", "" ""] ...</code></pre> <strong>output</strong>: <pre><code class=""language-python"">print(caption.timecode.parse())</code></pre> <pre><code>... { 'begin': 1926.3068, 'end': 2179.3182, 'syllable': [{'begin': 1926.3068, 'end': 2179.3182, 'phoneme': [{'begin': 1926.3068, 'end': 2050.7955, 'value': 'w'}, {'begin': 2050.7955, 'end': 2144.6591, 'value': 'ai'}, {'begin': 2144.6591, 'end': 2179.3182, 'value': 't'}], 'value': 'wait'}], 'value': 'white' }, ...</code></pre> <strong>Convert the timecodes to Praat TextGrid files</strong> <pre><code class=""language-python"">caption.timecode.toTextgrid(outputDir, level=3)</code></pre> <strong>Get the words, syllables and phonemes between</strong> <em>n</em> <strong>seconds/milliseconds</strong> <em>The following Python code returns all the words between 0.2 and 0.6 seconds for which at least 50% of the word's total length is within the specified interval</em> <pre><code class=""language-python"">pprint(caption.getWords(0.20, 0.60, seconds=True, level=1, olapthr=50))</code></pre> <pre><code>... 404537 827239 Bruce US 0.9 404537_827239_Bruce_None_0-9.wav Eyeglasses, a cellphone, some keys and other pocket items are all laid out on the cloth. . [ { 'begin': 0.0, 'end': 0.7202778, 'overlapPercentage': 55.53412863758955, 'word': 'eyeglasses' } ] ...</code></pre> <strong>Get the translations of the selected captions</strong> <em>As for now, only japanese translations are available. We also used</em> Kytea <em>to tokenize and tag the captions translated with Google Translate</em> <pre><code class=""language-python"">captions = db.getImgCaptions(298817) for caption in captions: print('\n{}'.format(caption.text)) # Get translations and POS print('\tja_google: {}'.format(db.getTranslation(caption.captionID, ""ja_google""))) print('\t\tja_google_tokens: {}'.format(db.getTokens(caption.captionID, ""ja_google""))) print('\t\tja_google_pos: {}'.format(db.getPOS(caption.captionID, ""ja_google""))) print('\tja_excite: {}'.format(db.getTranslation(caption.captionID, ""ja_excite"")))</code></pre> <pre><code> Birds wondering through grassy ground next to bushes. ja_google: é³¥ã¯èŒ‚ã¿ã®ä¸‹ã«èŒ‚ã£ãŸåœ°é¢ã‚’抱ãˆã¦ã„ã¾ã™ã€‚ ja_google_tokens: é³¥ 㯠茂㿠㮠下 㫠茂 ã£ ãŸ åœ°é¢ ã‚’ 抱㈠㦠ㄠ㾠㙠。 ja_google_pos: é³¥/åè©ž/ã¨ã‚Š ã¯/助詞/㯠茂ã¿/åè©ž/ã—ã’ã¿ ã®/助詞/㮠下/åè©ž/ã—㟠ã«/助詞/㫠茂/å‹•è©ž/ã—ã’ ã£/語尾/㣠ãŸ/助動詞/㟠地é¢/åè©ž/ã˜ã‚ã‚“ ã‚’/助詞/ã‚’ 抱ãˆ/å‹•è©ž/ã‹ã‹ãˆ ã¦/助詞/㦠ã„/å‹•è©ž/ã„ ã¾/助動詞/ã¾ ã™/語尾/㙠。/補助記å·/。 ja_excite: 低木ã¨éš£æŽ¥ã—ãŸè‰æ·±ã„グラウンドを通ã£ã¦ç–‘ã†é³¥ã€‚ A flock of turkeys are making their way up a hill. ja_google: 七é¢é³¥ã®ç¾¤ã‚ŒãŒä¸˜ã‚’上ã£ã¦ã„ã¾ã™ã€‚ ja_google_tokens: 七 é¢ é³¥ 㮠群れ ㌠丘 ã‚’ 上 㣠㦠ㄠ㾠㙠。 ja_google_pos: 七/åè©ž/ãªãª é¢/åè©ž/ã‚ã‚“ é³¥/åè©ž/ã¨ã‚Š ã®/助詞/㮠群れ/åè©ž/むれ ãŒ/助詞/㌠丘/åè©ž/ãŠã‹ ã‚’/助詞/ã‚’ 上/å‹•è©ž/ã®ã¼ ã£/語尾/㣠ã¦/助詞/㦠ã„/å‹•è©ž/ã„ ã¾/助動詞/ã¾ ã™/語尾/㙠。/補助記å·/。 ja_excite: 七é¢é³¥ã®ç¾¤ã‚Œã¯ä¸˜ã®ä¸Šã§é€²ã‚“ã§ã„る。 Um, ah. Two wild turkeys in a field walking around. ja_google: 野生ã®ã‚·ãƒãƒ¡ãƒ³ãƒãƒ§ã‚¦ã€é‡Žç”Ÿã®ä¸ƒé¢é³¥ ja_google_tokens: 野生 ã® ã‚·ãƒãƒ¡ãƒ³ãƒãƒ§ã‚¦ 〠野生 㮠七 é¢ é³¥ ja_google_pos: 野生/åè©ž/ã‚„ã›ã„ ã®/助詞/ã® ã‚·ãƒãƒ¡ãƒ³ãƒãƒ§ã‚¦/åè©ž/ã—ã¡ã‚ã‚“ã¡ã‚‡ã† ã€/補助記å·/〠野生/åè©ž/ã‚„ã›ã„ ã®/助詞/㮠七/åè©ž/ãªãª é¢/åè©ž/ã‚ã‚“ é³¥/åè©ž/ã¡ã‚‡ã† ja_excite: ã¾ã‚ã‚Šã§ç§»å‹•ã—ã¦ã„るフィールドã®2ç¾½ã®é‡Žç”Ÿã®ä¸ƒé¢é³¥ Four wild turkeys and some bushes trees and weeds. ja_google: 4本ã®é‡Žç”Ÿã®ã‚·ãƒãƒ¡ãƒ³ãƒãƒ§ã‚¦ã¨ã„ãã¤ã‹ã®èŒ‚ã¿ã®æœ¨ã¨é›‘è‰ ja_google_tokens: 4 本 㮠野生 ã® ã‚·ãƒãƒ¡ãƒ³ãƒãƒ§ã‚¦ 㨠ã„ã 㤠㋠㮠茂㿠㮠木 ã¨ é›‘è‰ ja_google_pos: 4/åè©ž/4 本/接尾辞/ã»ã‚“ ã®/助詞/㮠野生/åè©ž/ã‚„ã›ã„ ã®/助詞/ã® ã‚·ãƒãƒ¡ãƒ³ãƒãƒ§ã‚¦/åè©ž/ã—ã¡ã‚ã‚“ã¡ã‚‡ã† ã¨/助詞/㨠ã„ã/åè©ž/ã„ã ã¤/接尾辞/㤠ã‹/助詞/ã‹ ã®/助詞/㮠茂ã¿/åè©ž/ã—ã’ã¿ ã®/助詞/㮠木/åè©ž/ã ã¨/助詞/㨠雑è‰/åè©ž/ã–ã£ãㆠja_excite: 4ç¾½ã®é‡Žç”Ÿã®ä¸ƒé¢é³¥ãŠã‚ˆã³ã„ãã¤ã‹ã®ä½Žæœ¨æœ¨ã¨é›‘è‰ A group of turkeys with bushes in the background. ja_google: 背景ã«èŒ‚ã¿ã‚’æŒã¤ä¸ƒé¢é³¥ã®ç¾¤ ja_google_tokens: 背景 㫠茂㿠を æŒ ã¤ ä¸ƒ é¢ é³¥ 㮠群 ja_google_pos: 背景/åè©ž/ã¯ã„ã‘ã„ ã«/助詞/㫠茂ã¿/åè©ž/ã—ã’ã¿ ã‚’/助詞/ã‚’ æŒ/å‹•è©ž/ã‚‚ ã¤/語尾/㤠七/åè©ž/ãªãª é¢/åè©ž/ã‚ã‚“ é³¥/åè©ž/ã¡ã‚‡ã† ã®/助詞/㮠群/åè©ž/むれ ja_excite: 背景ã®ä½Žæœ¨ã‚’æŒã¤ä¸ƒé¢é³¥ã®ã‚°ãƒ«ãƒ¼ãƒ—</code></pre>",mds,True,findable,0,0,0,0,0,2020-11-23T13:46:36.000Z,2020-11-23T13:46:37.000Z,cern.zenodo,cern,"MSCOCO,VGS,Speech,Visually Grounded Speech,audio,captions","[{'subject': 'MSCOCO'}, {'subject': 'VGS'}, {'subject': 'Speech'}, {'subject': 'Visually Grounded Speech'}, {'subject': 'audio'}, {'subject': 'captions'}]",,
-10.6084/m9.figshare.c.6586643.v1,Digital technologies in routine palliative care delivery: an exploratory qualitative study with health care professionals in Germany,figshare,2023,,Collection,Creative Commons Attribution 4.0 International,"Abstract Objective To explore health care professionals’ (HCPs) perspectives, experiences and preferences towards digital technology use in routine palliative care delivery. Methods HCPs (n = 19) purposively selected from a sample of settings that reflect routine palliative care delivery (i.e. specialized outpatient palliative care, inpatient palliative care, inpatient hospice care in both rural and urban areas of the German states of Brandenburg and Berlin) participated in an explorative, qualitative study using semi-structured interviews. Interview data were analyzed using structured qualitative content analysis. Results Digital technologies are widely used in routine palliative care and are well accepted by HCPs. Central functions of digital technologies as experienced in palliative care are coordination of work processes, patient-centered care, and communication. Especially in outpatient care, they facilitate overcoming spatial and temporal distances. HCPs attribute various benefits to digital technologies that contribute to better coordinated, faster, more responsive, and overall more effective palliative care. Simultaneously, participants preferred technology as an enhancement not replacement of care delivery. HCPs fear that digital technologies, if overused, will contribute to dehumanization and thus significantly reduce the quality of palliative care. Conclusion Digital technology is already an essential part of routine palliative care delivery. While generally perceived as useful by HCPs, digital technologies are considered as having limitations and carrying risks. Hence, their use and consequences must be carefully considered, as they should discreetly complement but not replace human interaction in palliative care delivery.",mds,True,findable,0,0,0,0,0,2023-04-13T12:27:58.000Z,2023-04-13T12:27:58.000Z,figshare.ars,otjm,"59999 Environmental Sciences not elsewhere classified,FOS: Earth and related environmental sciences,69999 Biological Sciences not elsewhere classified,FOS: Biological sciences,Cancer,Science Policy","[{'subject': '59999 Environmental Sciences not elsewhere classified', 'schemeUri': 'http://www.abs.gov.au/ausstats/abs@.nsf/0/6BB427AB9696C225CA2574180004463E', 'subjectScheme': 'FOR'}, {'subject': 'FOS: Earth and related environmental sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': '69999 Biological Sciences not elsewhere classified', 'schemeUri': 'http://www.abs.gov.au/ausstats/abs@.nsf/0/6BB427AB9696C225CA2574180004463E', 'subjectScheme': 'FOR'}, {'subject': 'FOS: Biological sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Cancer'}, {'subject': 'Science Policy'}]",,
-10.6084/m9.figshare.c.6604292,Predictors of changing patterns of adherence to containment measures during the early stage of COVID-19 pandemic: an international longitudinal study,figshare,2023,,Collection,Creative Commons Attribution 4.0 International,"Abstract Background Identifying common factors that affect public adherence to COVID-19 containment measures can directly inform the development of official public health communication strategies. The present international longitudinal study aimed to examine whether prosociality, together with other theoretically derived motivating factors (self-efficacy, perceived susceptibility and severity of COVID-19, perceived social support) predict the change in adherence to COVID-19 containment strategies. Method In wave 1 of data collection, adults from eight geographical regions completed online surveys beginning in April 2020, and wave 2 began in June and ended in September 2020. Hypothesized predictors included prosociality, self-efficacy in following COVID-19 containment measures, perceived susceptibility to COVID-19, perceived severity of COVID-19 and perceived social support. Baseline covariates included age, sex, history of COVID-19 infection and geographical regions. Participants who reported adhering to specific containment measures, including physical distancing, avoidance of non-essential travel and hand hygiene, were classified as adherence. The dependent variable was the category of adherence, which was constructed based on changes in adherence across the survey period and included four categories: non-adherence, less adherence, greater adherence and sustained adherence (which was designated as the reference category). Results In total, 2189 adult participants (82% female, 57.2% aged 31–59 years) from East Asia (217 [9.7%]), West Asia (246 [11.2%]), North and South America (131 [6.0%]), Northern Europe (600 [27.4%]), Western Europe (322 [14.7%]), Southern Europe (433 [19.8%]), Eastern Europe (148 [6.8%]) and other regions (96 [4.4%]) were analyzed. Adjusted multinomial logistic regression analyses showed that prosociality, self-efficacy, perceived susceptibility and severity of COVID-19 were significant factors affecting adherence. Participants with greater self-efficacy at wave 1 were less likely to become non-adherence at wave 2 by 26% (adjusted odds ratio [aOR], 0.74; 95% CI, 0.71 to 0.77; P < .001), while those with greater prosociality at wave 1 were less likely to become less adherence at wave 2 by 23% (aOR, 0.77; 95% CI, 0.75 to 0.79; P = .04). Conclusions This study provides evidence that in addition to emphasizing the potential severity of COVID-19 and the potential susceptibility to contact with the virus, fostering self-efficacy in following containment strategies and prosociality appears to be a viable public health education or communication strategy to combat COVID-19.",mds,True,findable,0,0,0,0,0,2023-04-18T04:38:34.000Z,2023-04-18T04:38:34.000Z,figshare.ars,otjm,"Medicine,Biotechnology,Sociology,FOS: Sociology,69999 Biological Sciences not elsewhere classified,FOS: Biological sciences,Science Policy,110309 Infectious Diseases,FOS: Health sciences","[{'subject': 'Medicine'}, {'subject': 'Biotechnology'}, {'subject': 'Sociology'}, {'subject': 'FOS: Sociology', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': '69999 Biological Sciences not elsewhere classified', 'schemeUri': 'http://www.abs.gov.au/ausstats/abs@.nsf/0/6BB427AB9696C225CA2574180004463E', 'subjectScheme': 'FOR'}, {'subject': 'FOS: Biological sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Science Policy'}, {'subject': '110309 Infectious Diseases', 'schemeUri': 'http://www.abs.gov.au/ausstats/abs@.nsf/0/6BB427AB9696C225CA2574180004463E', 'subjectScheme': 'FOR'}, {'subject': 'FOS: Health sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}]",,
-10.5281/zenodo.10276253,3D roughness computation from XCT data - Data and Python & ImageJ implementations,Zenodo,2023,en,ComputationalNotebook,CeCILL Free Software License Agreement v2.1,"Data provided in supplement of the research article ""A methodology for the 3D characterization of surfaces using X-ray computed tomography: application to additively manufactured parts"", F.Steinhilber, J.Lachambre, D.Cœurjolly, J.Y.Buffière, G.Martin, R.Dendievel.
-Â
-It contains 3 folders:
-- ""data"": a dataset used to present the roughness computation methodology in the article (= the XCT scan of a 2 mm cylinder fabricated by Electron Powder Bed Fusion, with a voxel size of 5 µm). The results of the roughness computation are also provided in this folder.
-- ""Python"": the Python implementation of the roughness computation methodology presented in the article, as well as some other calculations, such as the computation of the triangle threshold for bimodal histograms introduced in the article.
-- ""ImageJ"": the ImageJ implementation (simple macro) of the roughness computation methodology presented in the article, as well as some other calculations, such as the computation of the triangle threshold for bimodal histograms introduced in the article.
-Â
-Each folder contains a README file that further details the different files provided.",api,True,findable,0,0,0,0,0,2023-12-06T09:53:00.000Z,2023-12-06T09:53:00.000Z,cern.zenodo,cern,"Surface roughness,X-ray Computed Tomography,Python,ImageJ,3D","[{'subject': 'Surface roughness'}, {'subject': 'X-ray Computed Tomography'}, {'subject': 'Python'}, {'subject': 'ImageJ'}, {'subject': '3D'}]",,
-10.6084/m9.figshare.23822160.v1,File 6 : Matlab file for part 2 and of the experiment from Mirror exposure following visual body-size adaptation does not affect own body image,The Royal Society,2023,,Dataset,Creative Commons Attribution 4.0 International,File 6 : This matlab file corresponds to the adaptation and post adaptation PSE measures and should be launched second.,mds,True,findable,0,0,0,0,0,2023-08-02T11:18:28.000Z,2023-08-02T11:18:28.000Z,figshare.ars,otjm,"Cognitive Science not elsewhere classified,Psychology and Cognitive Sciences not elsewhere classified","[{'subject': 'Cognitive Science not elsewhere classified'}, {'subject': 'Psychology and Cognitive Sciences not elsewhere classified'}]",['20342 Bytes'],
-10.5281/zenodo.4883250,"Search Queries for ""Mapping Research Output to the Sustainable Development Goals (SDGs)"" v5.0.2",Zenodo,2020,,Software,"Creative Commons Attribution 4.0 International,Open Access","<strong>This package contains machine readable (xml) search queries, for the Scopus publication database, to find domain specific research output that are related to the 17 Sustainable Development Goals (SDGs).</strong> <strong>[ SDG QUERIES PAGES ] [ PROJECT WEBSITE ] [ FORK ON GITHUB ]</strong> Sustainable Development Goals are the 17 global challenges set by the United Nations. Within each of the goals specific targets and indicators are mentioned to monitor the progress of reaching those goals by 2030. In an effort to capture how research is contributing to move the needle on those challenges, we earlier have made an initial classification model than enables to quickly identify what research output is related to what SDG. (This Aurora SDG dashboard is the initial outcome as <em>proof of practice</em>.) The initiative started from the Aurora Universities Network in 2017, in the working group ""Societal Impact and Relevance of Research"", to investigate and to make visible 1. what research is done that are relevant to topics or challenges that live in society (for the proof of practice this has been scoped down to the SDGs), and 2. what the effect or impact is of implementing those research outcomes to those societal challenges (this also have been scoped down to research output being cited in policy documents from national and local governments an NGO's). The classification model we have used are 17 different search queries on the Scopus database. The search queries are elegant constructions with keyword combinations and boolean operators, in the syntax specific to the Scopus Query Language. We have used Scopus because it covers more research area's that are relevant to the SDG's, and we could filter much easier the Aurora Institutions. <strong>Versions</strong> Different versions of the search queries have been made over the past years to improve the precision (soundness) and recall (completeness) of the results. The queries have been made in a team effort by several bibliometric experts from the Aurora Universities. Each one did two or 3 SDG's, and than reviewed each other's work. v1.0 January 2018<em> Initial 'strict' version.</em> In this version only the terms were used that appear in the SDG policy text of the targets and indicators defined by the UN. At this point we have been aware of the SDSN Compiled list of keywords, and used them as inspiration. Rule of thumb was to use <em>keyword-combination searches</em> as much as possible rather than <em>single-keyword searches</em>, to be more precise rather than to yield large amounts of false positive papers. Also we did not use the inverse or 'NOT' operator, to prevent removing true positives from the result set. This version has not been reviewed by peers. Download from: GitHub / Zenodo v2.0 March 2018<em> Reviewed 'strict' version.</em> Same as version 1, but now reviewed by peers. Download from: GitHub / Zenodo v3.0 May 2019 <em>'echo chamber' version.</em> We noticed that using strictly the terms that policy makers of the UN use in the targets and indicators, that much of the research that did not use that specific terms was left out in the result set. (eg. ""mortality"" vs ""deaths"") To increase the recall, without reducing precision of the papers in the results, we added keywords that were obvious synonyms and antonyms to the existing 'strict' keywords. This was done based on the keywords that appeared in papers in the result set of version 2. This creates an 'echo chamber', that results in more of the same papers. Download from: GitHub / Zenodo v4.0 August 2019<em> uniform 'split' version.</em> Over the course of the years, the UN changed and added Targets and indicators. In order to keep track of if we missed a target, we have split the queries to match the targets within the goals. This gives much more control in maintenance of the queries. Also in this version the use of brackets, quotation marks, etc. has been made uniform, so it also works with API's, and not only with GUI's. His version has been used to evaluate using a survey, to get baseline measurements for the precision and recall. Published here: Survey data of ""Mapping Research output to the SDGs"" by Aurora Universities Network (AUR) doi:10.5281/zenodo.3798385. Download from: GitHub / Zenodo v5.0 June 2020 <em>'improved' version.</em> In order to better reflect academic representation of research output that relate to the SDG's, we have added more keyword combinations to the queries to increase the recall, to yield more research papers related to the SDG's, using academic terminology. We mainly used the input from the Survey data of ""Mapping Research output to the SDGs"" by Aurora Universities Network (AUR) doi:10.5281/zenodo.3798385. We ran several text analyses: Frequent term combination in title and abstracts from Suggested papers, and in selected (accepted) papers, suggested journals, etc.found in this data set Spielberg, Eike, & Hasse, Linda. (2020). Text Analyses of Survey Data on ""Mapping Research Output to the Sustainable Development Goals (SDGs)"" (Version 1.0) [Data set]. Zenodo http://doi.org/10.5281/zenodo.3832090 . Secondly we got inspiration out of the Elsevier SDG queries Jayabalasingham, Bamini; Boverhof, Roy; Agnew, Kevin; Klein, Lisette (2019), “Identifying research supporting the United Nations Sustainable Development Goalsâ€, Mendeley Data, v1 https://dx.doi.org/10.17632/87txkw7khs.1. And thirdly we got inspiration from this controlled vocabulary containing closely related terms. Duran-Silva, Nicolau, Fuster, Enric, Massucci, Francesco Alessandro, & Quinquillà , Arnau. (2019). <em>A controlled vocabulary defining the semantic perimeter of Sustainable Development Goals</em> (Version 1.2) [Data set]. Zenodo. doi.org/10.5281/zenodo.3567769 Download from: GitHub / Zenodo <strong>Contribute and improve the SDG Search Queries</strong> We welcome you to join the Github community and to fork, improve and make a pull request to add your improvements to the new version of the SDG queries. <strong>https://aurora-network-global.github.io/sdg-queries/</strong>",mds,True,findable,0,0,2,5,0,2021-05-31T13:11:12.000Z,2021-05-31T13:11:13.000Z,cern.zenodo,cern,"Sustainable Development Goals,SDG,Classification model,Search Queries,SCOPUS,Text indexing,Controlled vocabulary,http://metadata.un.org/sdg/","[{'subject': 'Sustainable Development Goals'}, {'subject': 'SDG'}, {'subject': 'Classification model'}, {'subject': 'Search Queries'}, {'subject': 'SCOPUS'}, {'subject': 'Text indexing'}, {'subject': 'Controlled vocabulary'}, {'subject': 'http://metadata.un.org/sdg/', 'subjectScheme': 'url'}]",,
-10.5281/zenodo.4964207,"FIGURES 13–16 in Two new species of Protonemura Kempny, 1898 (Plecoptera: Nemouridae) from the Italian Alps",Zenodo,2021,,Image,Open Access,"FIGURES 13–16. Protonemura bispina sp. n., 13. male, epiproct, lateral view. 14. male, epiproct, lateral view. 15. male terminalia with epiproct, dorsal view. 16. male terminalia, ventral view",mds,True,findable,0,0,5,0,0,2021-06-16T08:25:02.000Z,2021-06-16T08:25:05.000Z,cern.zenodo,cern,"Biodiversity,Taxonomy,Animalia,Arthropoda,Insecta,Plecoptera,Nemouridae,Protonemura","[{'subject': 'Biodiversity'}, {'subject': 'Taxonomy'}, {'subject': 'Animalia'}, {'subject': 'Arthropoda'}, {'subject': 'Insecta'}, {'subject': 'Plecoptera'}, {'subject': 'Nemouridae'}, {'subject': 'Protonemura'}]",,
-10.5281/zenodo.1443459,Parrot,Zenodo,2018,en,Dataset,"Creative Commons Attribution 4.0,Open Access","The netCDF files ""SF*.nc"" that can be found in the repository ""Parrot_experiment"" contain the experimental results of intense sediment transport experiments (sheet flow) carried out in the LEGI tilting flume with two sizes of uniformly distributed acrylic particles having median diameters of 1 mm (S1 experiment) and 3 mm (S3 experiment). The data contained in this repository are presented in Fromant et al. (2018). The files contain :
-
- 1/ Synchronised and colocated concentration and veclocity (streamwise component) profiles measurements collected with an Acoustic Concentration and Velocity Profiler (ACVP - Hurther et al., 2011). <br>
- 2/ Concentration profiles time series collected with Conductivity and Concentration Profilers (Lanckriet et al., 2013), with two different vertical resolutions, 1 mm (CCP1mm) and 2mm (CCP2mm).
+10.5281/zenodo.3048780,2_Changri Nup Data,Zenodo,2019,en,Dataset,Restricted Access,"This is the dataset from North Changri Nup (5470 m asl, Everest region) on a debris-covered site in 2015 to 2017. Please look at the metadata file (CN-5470_20152017_AWS_metadata.docx) and the data ""Readme"" file (https://zenodo.org/record/3362374) for more information about the content of the files.",mds,True,findable,4,0,0,0,0,2019-05-20T11:58:06.000Z,2019-05-20T11:58:07.000Z,cern.zenodo,cern,"Changri Nup,Glacier,Debris","[{'subject': 'Changri Nup'}, {'subject': 'Glacier'}, {'subject': 'Debris'}]",,
+10.48537/hal-03220274,"Ambiance Narrative Design as an Innovation Tool, The Boundary Object Concept and Applied Case Study",Reseau International Ambiances,2020,en,Text,Creative Commons Attribution Non Commercial No Derivatives 2.0 Generic,"As ambiance narratives offers a unique way to combine representations con- cepts and perceptions of the multiple actors involved in the creation process, this paper assumes that their systematic use as a boundary spanning mechanism, may contribute to both creativity in the design and to the overall fit with the expectations of the actors of the ecosystem. The use of ambiance narratives remains to be explained in such a context as the way they are designed, the process by which they are shared, interpreted and used by the different stakeholders in order to span boundaries has not been explored by research. Based on the case study observations and on the theory of boundary objects and boundary discourse, a new development method is pro- posed where innovation involves heterogenic stakeholders.",mds,True,findable,0,0,0,0,0,2021-06-17T10:17:49.000Z,2021-06-17T10:17:50.000Z,jbru.aau,jbru,"Ambiance,Boundary Object,Narrative Design,Innovation,Hostellery","[{'lang': 'eng', 'subject': 'Ambiance'}, {'lang': 'eng', 'subject': 'Boundary Object'}, {'lang': 'eng', 'subject': 'Narrative Design'}, {'lang': 'eng', 'subject': 'Innovation'}, {'lang': 'eng', 'subject': 'Hostellery'}]",['6 pages'],['application/pdf']
+10.5281/zenodo.4273949,A Schwarz iterative method to evaluate ocean- atmosphere coupling schemes. Implementation and diagnostics in IPSL-CM6-SW-VLR. GMD-2020-307,Zenodo,2020,,Dataset,"Creative Commons Attribution 4.0 International,Open Access","These files are associated with an article submitted to Geoscientific Model Development (https://www.geoscientific-model-development.net) with reference GMD-2020-307 : A Schwarz iterative method to evaluate ocean- atmosphere coupling schemes. Implementation and diagnostics in IPSL-CM6-SW-VLR.<br> By Olivier Marti, Sébastien Nguyen, Pascale Braconnot, Sophie Valcke, Florian Lemarié, and Eric Blayo It contains :<br> - The model code used for the study<br> - The model outputs used for the study<br> - The script used to produce the figures. Contact : Olivier Marti - olivier.marti@lsce.ipsl.fr",mds,True,findable,0,0,0,0,0,2020-11-15T19:21:53.000Z,2020-11-15T19:21:54.000Z,cern.zenodo,cern,,,,
+10.48537/hal-03220351,"Towards a Sensory Patrimoine? Atmospheric, Psychological and Ecopolitical Issues on Smell and Sound Identity",Reseau International Ambiances,2020,en,Text,Creative Commons Attribution Non Commercial No Derivatives 2.0 Generic,"This paper addresses the notion of “sensory patrimoine,†by questioning our con- trol of the natural elements, and the processes of patrimonialization. It considers this notion according to the sound or smell sensorialities. These thoughts are illustrated by several examples, in Switzerland, France, and Japan. We define under what conditions we can char- acterize the sound or olfactory identity of a place or an environment. Helped by the works on environmental identity, we thus investigate the modalities for sharing these sensorialities to create a common identity. We then define a key to understand our responsibility toward the environment, and we call for a balance to be found in future works on the inventory of smell and sound characters.",mds,True,findable,0,0,0,0,0,2021-06-17T16:48:17.000Z,2021-06-17T16:48:17.000Z,jbru.aau,jbru,"Smells,Sound,Patrimoine,Environmental Identity","[{'lang': 'eng', 'subject': 'Smells'}, {'lang': 'eng', 'subject': 'Sound'}, {'lang': 'eng', 'subject': 'Patrimoine'}, {'lang': 'eng', 'subject': 'Environmental Identity'}]",['6 pages'],['application/pdf']
+10.17178/amma-catch.cl.gwatwell_o,"Groundwater dataset (water table level), over the upper Oueme watershed (14 000 km2), Benin","IRD, CNRS-INSU, OSUG, OMP, OREME",1999,en,Dataset,"Creative Commons Attribution 4.0 International,Data access and use are ruled by the AMMA-CATCH data policy.,For any publication using AMMA-CATCH data, authors are asked to:
-Details about the experimental protocol can be found in Revil-Baudard et al. (2015). More details regarding the experimental protocol and flow conditions can be found in Fromant et al. (2018).",mds,True,findable,0,0,0,0,0,2018-10-03T15:42:14.000Z,2018-10-03T15:42:15.000Z,cern.zenodo,cern,"Sediment Transport,Sheet-flow,Concentration measurement,ACVP,CCP","[{'subject': 'Sediment Transport'}, {'subject': 'Sheet-flow'}, {'subject': 'Concentration measurement'}, {'subject': 'ACVP'}, {'subject': 'CCP'}]",,
-10.5281/zenodo.10062356,MIPkit-A (MISOMIP2),Zenodo,2023,en,Dataset,Creative Commons Attribution 4.0 International,"MIPkit-A (Amundsen Sea in MISOMIP2)
-Observational data kit gathered and reprocessed to facilitate the evaluation of ocean models as part of MISOMIP2.
-This entire dataset should be cited as:Â
+Mandatory: cite the reference article and the DOI of the observatory
-the MISOMIP2 MIPkit-A dataset (http://doi.org/10.5281/zenodo.10062356) that includes data collected through multiple cruises of Nathaniel B. Palmer (United States Antarctic Program), James C. Ross (British Antarctic Survey and Natural Environment Research Council), Araon (Korea Polar Research Institute), Oden (Swedish Polar Research) and Polarstern (Alfred Wegener Institute, Germany).
-For more specific use of some of the MIPkit-A data, we encourage people to cite the original data referenced below.
-__________________________________________
-Oce3d_MIPkitA_* : 3-dimensional temperature and salinity (horizontal slices every 100m)
-The hydrographic properties provided on horizontal sections at 15 depths come from the CTD measurements obtained during cruises of the following icebreaker research vessels: Nathaniel B. Palmer (United States Antarctic Program), James C. Ross (British Antarctic Survey and Natural Environment Research Council), Araon (Korea Polar Research Institute), Oden (Swedish Polar Research) and Polarstern (Alfred Wegener Institute, Germany). In this MIPkit, we have gathered data for the first months of 2009 (Jacobs 2009), 2010 (Swedish Polar Research Secretariat 2010; Gohl 2015), 2012 (Kim et al. 2012), 2014 (Heywood 2014; Ha et al. 2014), 2016 (Kim et al. 2016), 2017 (Gohl 2017), 2018 (Kim et al. 2018), 2019 (Larter et al. 2019) and 2020 (Wellner, 2020).
-__________________________________________
-OceSec<n>_MIPkitA_* : vertical sections
-The first vertical (OceSec1) section where we provide hydrographic data in the Amundsen Sea starts across the continental shelf break and follows the Eastern Pine Island Trough southward until Pine Island Ice Shelf. This section was monitored by the following cruises: N.B. Palmer in January 2009, Polarstern in March 2010 and Araon in February-March 2012 (Jacobs et al. 2011; Gohl 2015; Dutrieux et al. 2014). The second vertical section (OceSec2) starts across the continental shelf break and follows the Dotson-Getz Trough southward until the Dotson Ice Shelf. It was monitored by the aforementioned Araon expeditions in 2010–2011 and early 2012 (Kim et al. 2017).
-The files OceSec<n>_model_lon_lat.csv contain the coordinates (longitude, latitude) at which model data should be interpolated to be compared to the observational sections.
-__________________________________________
-OceMoor<n>_MIPkitA_* : moorings
-The first mooring site (OceMoor1) is located near the northern part of the Pine Island ice shelf front (102.07°W, 74.87°S) and captures the thermocline variability from 2012 to 2018 (""iSTAR-8"" in NERC iSTAR program, and ""pig-n"" in NERC Ocean Forcing Ice Change Program). The second mooring site (OceMoor2)is located near the southern part of the Pine Island ice shelf front (102.15°W, 75.05°S), was monitored between 2009 and 2016, then in 2019–2020 through the following moorings: ""BSR-5"" (Buoy Supported Riser; Jacobs 2009), ""iSTAR-9"" (NERC iSTAR Program), and ""pig-s"" (NERC Ocean Forcing Ice Change Program). This second site experienced a strong deepening of the thermocline in 2012–2013 (Webber et al. 2017), then a more moderate deepening in 2016. These two mooring sites are located only 20 km from each other, show distinct mean thermocline depth and more consistent variability (Joughin et al. 2021).
-The third mooring observation (OceMoor3, ""trough-e"" in NERC Ocean Forcing Ice Change Program) used in MISOMIP is at the eastern Pine Island trough (102.55°W, 71.33°S). The eastern trough is considered to be the entrance of mCDW reaching the Pine Island Ice Shelf (Jacobs et al. 2011; Nakayama et al. 2013; Webber et al. 2017) but only two years of mooring observation was conducted from 2014-2015 due to important sea ice cover. The fourth mooring site (OceMoor4) used in MISOMIP is at the western Pine Island trough (113.05°W, 71.56°S). Several mooring observations were conducted within 2 km of each other, allowing us to observe thermocline variability from 2009 to 2016 with one year gap in 2011: ""BSR-12"" (Jacobs 2009), ""iSTAR-1"" (NERC iSTAR Program), and ""trough-w"" (NERC Ocean Forcing Ice Change Program).
-Â
-__________________________________________
-The archive example_routines.zip contains example of Matlab routines that were used to prepare the MIPkit-A data.
-Â
-__________________________________________
-References
-Dutrieux, P., De Rydt, J., Jenkins, A., Holland, P. R., Ha, H. K., Lee, S. H., Steig, E. J., Ding, Q., Abrahamsen, E. P., and Schröder, M.: Strong sensitivity of Pine Island ice-shelf melting to climatic variability, Science, 343, 174–178, 2014.
-Gohl, K.: Station list and links to master tracks in different resolutions of POLARSTERN cruise ANT-XXVI/3, Wellington - Punta Arenas, 2010-01-30 - 2010-04-05, Tech. rep., Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven, https://doi.org/10.1594/PANGAEA.847944, 2015.
-Gohl, K.: The Expedition PS104 of the Research Vessel POLARSTERN to the Amundsen Sea in 2017, Reports on polar and marine research, Tech. rep., Alfred Wegener Institute for Polar and Marine Research, Bremerhaven, http://doi.org/10.2312/BzPM_0712_2017, 2017.
-Ha, H. K., Kim, T. W., Lee, H. J., Kang, C. Y., Hong, C. S., Wåhlin, A. K., Rolandsson, J., Karen, O., and Miles, T.: The Amundsen Sea Expedition (ANA04B): IBRV Araon, 24 December 2013 – 25 January 2014 – Chapther 1: Physical Oceanography, Tech. rep., Korea Polar Research Institute, Incheon, https://repository.kopri.re.kr/handle/201206/4605, 2014.
-Heywood, K. 690 J.: JR294/295 Cruise Report, Ice Sheet Stability Programme (iSTAR), RRS James Clark Ross, 26th February – 8th March 2014, Amundsen Sea, Tech. rep., Natural Environment Research Council (NERC), https://www.bodc.ac.uk/resources/inventories/cruise_inventory/report/13405/, 2014.
-Jacobs, S.: Cruise NBP0901, RVIB Nathaniel B. Palmer, Jan 05 – Feb 26 2009, Tech. rep., United States Antarctic Program, http://doi.org/10.7284/905547, 2009.
-Jacobs, S. S., Jenkins, A., Giulivi, C. F., and Dutrieux, P.: Stronger ocean circulation and increased melting under Pine Island Glacier ice shelf, Nature Geoscience, 4, 519–523, 2011.
-Joughin, I., Shapero, D., Smith, B., Dutrieux, P., and Barham, M.: Ice-shelf retreat drives recent Pine Island Glacier speedup, Science Advances, 7, eabg3080, 2021.
-Kim, T. W., H, H. K., and Hong, C. S.: The Amundsen Sea Expedition (ANA02C): IBRV Araon, 31 January 2012 – 20 March 2012 – Chapther 1: Hydrographic Survey, Tech. rep., Korea Polar Research Institute, Incheon, https://repository.kopri.re.kr/handle/201206/4603, 2012.
-Kim, T. W., Cho, K. H., Kim, C. S., Yang, H. W., La, H. S., Lee, J. H., Kim, D. K., Jung, J. H., Wåhlin, A. K., Assmann, K. M., Darelius, E., Abrahamsen, E. P., and Waite, N.: The Amundsen Sea Expedition (ANA06B): IBRV Araon, 6 January – 23 February 2016 – Chapther 1: Physical Oceanography in Amundsen Sea, Tech. rep., Korea Polar Research Institute, Incheon, https://ftp.nmdc.no/nmdc/UIB/Mooring/20181213/ANA06B_cruise_report.pdf, 2016.
-Kim, T.-W., Ha, H. K., Wåhlin, A. K., Lee, S., Kim, C.-S., Lee, J. H., and Cho, Y.-K.: Is Ekman pumping responsible for the seasonal variation of warm circumpolar deep water in the Amundsen Sea?, Continental Shelf Research, 132, 38–48, 2017.
-Kim, T. W., Cho, K. H., Park, T. W., Yang, H. W., Kim, Y., Assmann, K. M., Rolandsson, J., Dutrieux, P., Gobat, J., Beem, L., Richter, T., Buhl, D., and Durand, I.: The Amundsen Sea Expedition (ANA08B): IBRV Araon, 21 December 2017 – 13 February 2018 – Chapther 1: Physical Oceanography, Tech. rep., Korea Polar Research Institute, Incheon, https://repository.kopri.re.kr/handle/201206/9441, 2018.
-Larter, R., Barham, M., Boehme, L., Braddock, S., Graham, A., Hogan, K., Mazur, A., Minzoni, R., Queste, B., Sheehan, P., Spoth, M., Wåhlin, A., Bortolotto-d'Oliveira, G., Clark, R. W., Fitzgerald, V., Karam, S., Kirkham, J., Stedt, F., Zheng, Y., Beeler, C., Goodell, J., Rush, E., Snow, T., Welzenbach, L., Andersson, J., and Rolandsson, J.: Cruise NBP1902, RVIB Nathaniel B. Palmer, Jan 29 – Mar 25 2019, Tech. rep., United States Antarctic Program, http://doi.org/10.7284/908147, 2019.
-Nakayama, Y., Schröder, M., and Hellmer, H. H.: From circumpolar deep water to the glacial meltwater plume on the eastern Amundsen Shelf, Deep Sea Res. I, 77, 50–62, 2013.
-Swedish Polar Research Secretariat: Oden Southern Ocean 2009/10 - Conductivity-Temperature-Depth (CTD) Data Collected Onboard Icebreaker Oden during February through March 2010, Tech. rep., Swedish Polar Research, http://snd.gu.se/en/catalogue/dataset/ecds0220-1, 2010.
-Webber, B. G. M., Heywood, K. J., Stevens, D. P., Dutrieux, P., Abrahamsen, E. P., Jenkins, A., Jacobs, S. S., Ha, H. K., Lee, S. H., and Kim, T. W.: Mechanisms driving variability in the ocean forcing of Pine Island Glacier, Nature Communications, 8, 1–8, 2017.
-Wellner, J.: Cruise NBP2002, RVIB Nathaniel B. Palmer, Jan 25 2020 – Mar 08 2020, Tech. rep., United States Antarctic Program, http://doi.org/10.7284/908803, 2019.",api,True,findable,0,0,0,0,0,2023-11-01T14:53:42.000Z,2023-11-01T14:53:42.000Z,cern.zenodo,cern,,,,
-10.5061/dryad.mgqnk98wm,Data from: Shells of the bivalve Astarte moerchi give new evidence of a strong pelagic-benthic coupling shift occurring since the late 1970s in the NOW Polynya,Dryad,2020,en,Dataset,Creative Commons Zero v1.0 Universal,"Climate changes in the Arctic may weaken the currently tight pelagic-benthic coupling. In response to decreasing sea ice cover, arctic marine systems are expected to shift from a ‘sea-ice algae-benthos’ to a ‘phytoplankton-zooplankton’ dominance. We used mollusk shells as bioarchives and fatty acid trophic markers to estimate the effects of the reduction of sea ice cover on the exported food to the seafloor. Bathyal bivalve Astarte moerchi that lives at 600 m depth in northern Baffin Bay reveals a clear shift in growth variations and Ba/Ca ratios since the late 1970s that we relate to a change in food availability. Fatty acid compositions of tissues show that this species feeds mainly on microalgae exported from the euphotic zone to the seabed. We thus suggest that changes in pelagic-benthic coupling are likely due to either local changes in sea ice dynamics, mediated through bottom-up regulation exerted by sea ice on phytoplankton production or to a mismatch between phytoplankton bloom and zooplankton grazing due to change in their phenology. Both possibilities allow a more regular and increased transfer of food to the seabed.",mds,True,findable,148,8,0,0,0,2020-07-08T21:02:01.000Z,2020-07-08T21:02:02.000Z,dryad.dryad,dryad,,,['1544756 bytes'],
-10.5281/zenodo.7978514,Danaroth83/irca: v1.1,Zenodo,2023,,Software,Open Access,Added wavelength axis to spectra and transmittance responses.,mds,True,findable,0,0,0,0,0,2023-05-28T06:40:25.000Z,2023-05-28T06:40:26.000Z,cern.zenodo,cern,,,,
-10.6084/m9.figshare.23737431,Supplementary document for Flexible optical fiber channel modeling based on neural network module - 6356438.pdf,Optica Publishing Group,2023,,Text,Creative Commons Attribution 4.0 International,Supplement 1,mds,True,findable,0,0,0,0,0,2023-07-26T14:48:51.000Z,2023-08-10T20:33:33.000Z,figshare.ars,otjm,Uncategorized,[{'subject': 'Uncategorized'}],['684917 Bytes'],
-10.5281/zenodo.5849861,agnpy: an open-source python package modelling the radiative processes of jetted active galactic nuclei,Zenodo,2022,,Software,Open Access,This repository contains the scripts to generate the figures included in the paper 'agnpy: an open-source python package modelling the radiative processes of jetted active galactic nuclei'.,mds,True,findable,0,0,0,1,0,2022-01-14T13:52:28.000Z,2022-01-14T13:52:29.000Z,cern.zenodo,cern,"radiative processes,blazars,radio galaxies,AGN,jets,MWL,astropy,numpy,python","[{'subject': 'radiative processes'}, {'subject': 'blazars'}, {'subject': 'radio galaxies'}, {'subject': 'AGN'}, {'subject': 'jets'}, {'subject': 'MWL'}, {'subject': 'astropy'}, {'subject': 'numpy'}, {'subject': 'python'}]",,
-10.5281/zenodo.7249512,CMB heat flux PCA results,Zenodo,2022,en,Dataset,"Creative Commons Attribution 4.0 International,Open Access",Results of the CMB heat flux PCA from the Coltice et al. (2019) mantle convection model in the numpy (.npy) format. The PCA is computed on the snapshots of the simulations between 300 Myr and 1131 Myr in the simulation time. -avg_pattern.npy: Spherical harmonic decomposition of the CMB heat flux average pattern -patterns.npy: Spherical harmonic decomposition of the PCA components patterns -sing_val.npy: Singular value of the PCA components -weights.npy: Time dependent weights of the PCA components,mds,True,findable,0,0,0,0,0,2022-10-26T07:18:01.000Z,2022-10-26T07:18:02.000Z,cern.zenodo,cern,,,,
-10.57745/lxtwng,Terahertz cyclotron emission from two-dimensional Dirac fermions,Recherche Data Gouv,2023,,Dataset,,"Data associated to the following publication: Gebert, S., Consejo, C., Krishtopenko, S.S. et al. Terahertz cyclotron emission from two-dimensional Dirac fermions. Nat. Photon. (2023). https://doi.org/10.1038/s41566-022-01129-1",mds,True,findable,125,7,0,0,0,2023-02-01T21:02:44.000Z,2023-02-09T15:07:59.000Z,rdg.prod,rdg,,,,
-10.6084/m9.figshare.23822157.v1,Dataset for the replication experiment from Mirror exposure following visual body-size adaptation does not affect own body image,The Royal Society,2023,,Dataset,Creative Commons Attribution 4.0 International,Data for the replication experiment in CSV format.,mds,True,findable,0,0,0,0,0,2023-08-02T11:18:27.000Z,2023-08-02T11:18:27.000Z,figshare.ars,otjm,"Cognitive Science not elsewhere classified,Psychology and Cognitive Sciences not elsewhere classified","[{'subject': 'Cognitive Science not elsewhere classified'}, {'subject': 'Psychology and Cognitive Sciences not elsewhere classified'}]",['3105 Bytes'],
-10.5281/zenodo.7195152,Data Used in [~Re] Setting Inventory Levels in a Bike Sharing Network,Zenodo,2022,,Dataset,"Creative Commons Attribution 4.0 International,Open Access","Data used to reproduce the publication ""Setting an Inventory Levels in a Bike Sharing Network"" by Datner et al. This data correspond to the scenarios generated from the parameters given by the authors.",mds,True,findable,0,0,0,0,0,2022-10-13T17:53:59.000Z,2022-10-13T17:53:59.000Z,cern.zenodo,cern,"Reproduction,FOS: Medical biotechnology,Bike Sharing System,Optimization","[{'subject': 'Reproduction'}, {'subject': 'FOS: Medical biotechnology', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Bike Sharing System'}, {'subject': 'Optimization'}]",,
-10.5281/zenodo.7485725,"Datasets for ""Observation of universal Hall response in strongly interacting Fermions""",Zenodo,2023,,Dataset,"Creative Commons Attribution 4.0 International,Open Access","This submission includes the datasets shown in the figures of journal article ""Observation of universal Hall response in strongly interacting Fermions"" by T.-W. Zhou et al., Science (2023). The naming of the files corresponds to the figure numbering in the published article:<br> FIG-x for figures in the main text<br> FIG-Sxx for figures in the Supplementary Materials",mds,True,findable,0,0,0,0,0,2023-07-13T06:50:55.000Z,2023-07-13T06:50:56.000Z,cern.zenodo,cern,"Hall effect,Quantum simulation,Quantum technologies,Condensed Matter Physics,FOS: Physical sciences,Atomic Physics","[{'subject': 'Hall effect'}, {'subject': 'Quantum simulation'}, {'subject': 'Quantum technologies'}, {'subject': 'Condensed Matter Physics'}, {'subject': 'FOS: Physical sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Atomic Physics'}]",,
-10.5281/zenodo.5838139,Data for Imaging tunable quantum Hall broken-symmetry orders in graphene,Zenodo,2022,en,Dataset,"Creative Commons Attribution 4.0 International,Open Access",Data plots in spreadsheet form,mds,True,findable,0,0,0,1,0,2022-01-12T14:28:17.000Z,2022-01-12T14:28:18.000Z,cern.zenodo,cern,,,,
-10.5281/zenodo.8296848,Cophylogeny reconstruction allowing for multiple associations through approximate Bayesian computation,Zenodo,2023,,Other,"Creative Commons Attribution 4.0 International,Open Access","Phylogenetic tree reconciliation is extensively employed for the examination of coevolution between host and symbiont species. An important concern is the requirement for dependable cost values when selecting event-based parsimonious reconciliation. Although certain approaches deduce event probabilities unique to each pair of host and symbiont trees, which can subsequently be converted into cost values, a significant limitation lies in their inability to model the <em>invasion</em> of diverse host species by the same symbiont species (termed as a spread event), which is believed to occur in symbiotic relationships. Invasions lead to the observation of multiple associations between symbionts and their hosts (indicating that a symbiont is no longer exclusive to a single host), which are incompatible with the existing methods of coevolution. Here, we present a method called AmoCoala (an enhanced version of the tool Coala) that provides a more realistic estimation of cophylogeny event probabilities for a given pair of host and symbiont trees, even in the presence of spread events. We expand the classical 4-event coevolutionary model to include 2 additional spread events (vertical and horizontal spreads) that lead to multiple associations. In the initial step, we estimate the probabilities of spread events using heuristic frequencies. Subsequently, in the second step, we employ an approximate Bayesian computation (ABC) approach to infer the probabilities of the remaining 4 classical events (cospeciation, duplication, host switch, and loss) based on these values. By incorporating spread events, our reconciliation model enables a more accurate consideration of multiple associations. This improvement enhances the precision of estimated cost sets, paving the way to a more reliable reconciliation of host and symbiont trees. To validate our method, we conducted experiments on synthetic datasets and demonstrated its efficacy using real-world examples. Our results showcase that AmoCoala produces biologically plausible reconciliation scenarios, further emphasizing its effectiveness.The software is accessible at https://github.com/sinaimeri/AmoCoala.",mds,True,findable,0,0,0,0,0,2023-08-29T15:29:58.000Z,2023-08-29T15:29:58.000Z,cern.zenodo,cern,"reconciliation,cophylogeny,ABC method,spread","[{'subject': 'reconciliation'}, {'subject': 'cophylogeny'}, {'subject': 'ABC method'}, {'subject': 'spread'}]",,
-10.6084/m9.figshare.23575378,Additional file 7 of Decoupling of arsenic and iron release from ferrihydrite suspension under reducing conditions: a biogeochemical model,figshare,2023,,Text,Creative Commons Attribution 4.0 International,Authors’ original file for figure 6,mds,True,findable,0,0,0,0,0,2023-06-25T03:11:55.000Z,2023-06-25T03:11:56.000Z,figshare.ars,otjm,"59999 Environmental Sciences not elsewhere classified,FOS: Earth and related environmental sciences,39999 Chemical Sciences not elsewhere classified,FOS: Chemical sciences,Ecology,FOS: Biological sciences,69999 Biological Sciences not elsewhere classified,Cancer","[{'subject': '59999 Environmental Sciences not elsewhere classified', 'schemeUri': 'http://www.abs.gov.au/ausstats/abs@.nsf/0/6BB427AB9696C225CA2574180004463E', 'subjectScheme': 'FOR'}, {'subject': 'FOS: Earth and related environmental sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': '39999 Chemical Sciences not elsewhere classified', 'schemeUri': 'http://www.abs.gov.au/ausstats/abs@.nsf/0/6BB427AB9696C225CA2574180004463E', 'subjectScheme': 'FOR'}, {'subject': 'FOS: Chemical sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Ecology'}, {'subject': 'FOS: Biological sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': '69999 Biological Sciences not elsewhere classified', 'schemeUri': 'http://www.abs.gov.au/ausstats/abs@.nsf/0/6BB427AB9696C225CA2574180004463E', 'subjectScheme': 'FOR'}, {'subject': 'Cancer'}]",['26112 Bytes'],
-10.5281/zenodo.8412455,SpectralGPT: The first remote sensing foundation model customized for spectral data,Zenodo,2023,,Dataset,"Creative Commons Attribution 4.0 International,Open Access","SpectralGPT is the first purpose-built foundation model designed explicitly for spectral RS data. It considers unique characteristics of spectral data, i.e., spatial-spectral coupling and spectral sequentiality, in the MAE framework with a simple yet effective 3D GPT network. We will gradually release the trained models (SpectralGPT, SpectralGPT+), the new benchmark dataset (SegMunich) for the downstream task of semantic segmentation, original code, and implementation instructions.",mds,True,findable,0,0,0,0,0,2023-10-06T03:38:29.000Z,2023-10-06T03:38:29.000Z,cern.zenodo,cern,,,,
-10.5281/zenodo.4616357,Raw Data for manuscript submitted to PCI as 'Early Spring Snowmelt and Summer Droughts Strongly Impair the Resilience of Key Microbial Communities in Subalpine Grassland Ecosystems',Zenodo,2021,en,Dataset,"Creative Commons Attribution 4.0 International,Open Access",Raw Data for manuscript submitted to PCI Ecology as 'Early Spring Snowmelt and Summer Droughts Strongly Impair the Resilience of Key Microbial Communities in Subalpine Grassland Ecosystems',mds,True,findable,0,0,0,0,0,2021-03-18T08:31:21.000Z,2021-03-18T08:31:22.000Z,cern.zenodo,cern,"climate change, grasslands, (de)nitrification, weather extremes, snowmelt, N2O","[{'subject': 'climate change, grasslands, (de)nitrification, weather extremes, snowmelt, N2O'}]",,
-10.5281/zenodo.10050502,Data and code associated with the manuscript: Three centuries of snowpack decline at an Alpine pass revealed by cosmogenic paleothermometry and luminescence photochronometry,Zenodo,2023,,Dataset,GNU General Public License v3.0 or later,"This dataset contains the data as well as the Matlab codes needed to reproduce the results in the following manuscript:
-Guralnik, B., Tremblay, M.M., Phillips, M., Sellwood, E.L., Gribenski, N., Presl, R., Haberkorn, A., Sohbati, R., Shuster, D.L., Valla, P., Jain, M., Schindler, K., Hippe, K., and Wallinga, J., Three centuries of snowpack decline at an Alpine pass revealed by cosmogenic paleothermometry and luminescence photochronometry.Â
-This manuscript has been submitted to a peer-reviewed journal for publication. Briefly, this manuscript presents a novel combination of cosmogenic paleothermometery (quartz He-3) and luminescence photochronometery (feldspar IRSL), which jointly constrain the temperature and insolation history of three bedrock outcrops at the Gotthard Pass in Switzerland over the last ~15,000 years.Â
-The data include (1) measured concentrations of cosmogenic Be-10, C-14, and He-3 in quartz, (2) stepwise degassing experiments on proton irradiated quartz grains that are used to determine sample-specific He-3 diffusion kinetics, (3) best-fit multiple diffusion domain (MDD) models to the proton-induced He-3 diffusion experiments, (5) Natural radioactivity and calculated feldspar infrared stimulated luminescence (ISRL) dose rates, (6) feldspar ISRL depth profiles, and (7) high-resolution microrelief surface scans and analysis.
-The code includes scripts necessary to reproduce the figures and results associated with this manuscript. The code is organized by figure into subfolders, and any data needed to reproduce a figure should be included in that folder. All original codes are distributed under the GNU General Public License. Codes written by others and utilized here are redistributed under their original license according to the terms and conditions therein, and are provided in the folder 'external.'
-Any questions about original Matlab codes published here should be directed to Benny Guralnik, benny.guralnik@gmail.com.",api,True,findable,0,0,0,0,0,2023-10-28T22:58:22.000Z,2023-10-28T22:58:23.000Z,cern.zenodo,cern,"snow,cosmogenic,paleothermometry,luminescence,Alpine","[{'subject': 'snow'}, {'subject': 'cosmogenic'}, {'subject': 'paleothermometry'}, {'subject': 'luminescence'}, {'subject': 'Alpine'}]",,
-10.5281/zenodo.8392608,CSF22,Zenodo,2023,fr,Dataset,Restricted Access,"1087 French sentences cued by a professional French Cuer with typical hearing CSF22 - video aspects 1920x1020, 30-60 fps - audio/ aspects 44.1 kHz |---→CSF22_test |---→test_labels: 108 csv files |---→test_videos: 108 webm files |---→CSF22_train |---→train_labels: 949 csv files |---→train_videos: 949 webm files |---→ phonelist.csv: list of the 36 labels used (including start and end tokens) to encode French phonemes at GIPSA-lab. |---→ prompts.csv: Text prompt of the recorded sentences",mds,True,findable,0,0,0,0,0,2023-09-29T14:15:23.000Z,2023-09-29T14:15:24.000Z,cern.zenodo,cern,"Cued Speech, French, LFPC,","[{'subject': 'Cued Speech, French, LFPC,'}]",,
-10.5281/zenodo.4628245,HPL (modified for Simgrid/SMPI),Zenodo,2021,,Software,"BSD licenses (New and Simplified),Open Access","This is a modified version of High Performance Linpack, intended to be used on top Simgrid/SMPI simulator.",mds,True,findable,0,0,1,0,0,2021-03-22T19:58:34.000Z,2021-03-22T19:58:35.000Z,cern.zenodo,cern,,,,
-10.5281/zenodo.3696502,Pretrained parsing model for french with FlauBERT,Zenodo,2020,,Other,"Creative Commons Attribution 4.0 International,Open Access",Pretrained parsing models for French to use with https://github.com/mcoavoux/self-attentive-parser fork of https://github.com/nikitakit/self-attentive-parser parser. These are retrained models (results are slightly different from those reported in Flaubert paper https://arxiv.org/abs/1912.05372).,mds,True,findable,0,0,0,0,0,2020-03-04T09:38:15.000Z,2020-03-04T09:38:15.000Z,cern.zenodo,cern,,,,
-10.6084/m9.figshare.24165071.v1,Additional file 1 of Non-ventilator-associated ICU-acquired pneumonia (NV-ICU-AP) in patients with acute exacerbation of COPD: From the French OUTCOMEREA cohort,figshare,2023,,Text,Creative Commons Attribution 4.0 International,Additional file 1. Members of the OutcomeRea Network.,mds,True,findable,0,0,0,0,0,2023-09-20T03:22:50.000Z,2023-09-20T03:22:51.000Z,figshare.ars,otjm,"Medicine,Microbiology,FOS: Biological sciences,Genetics,Molecular Biology,Neuroscience,Biotechnology,Evolutionary Biology,Immunology,FOS: Clinical medicine,Cancer,Science Policy,Virology","[{'subject': 'Medicine'}, {'subject': 'Microbiology'}, {'subject': 'FOS: Biological sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Genetics'}, {'subject': 'Molecular Biology'}, {'subject': 'Neuroscience'}, {'subject': 'Biotechnology'}, {'subject': 'Evolutionary Biology'}, {'subject': 'Immunology'}, {'subject': 'FOS: Clinical medicine', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Cancer'}, {'subject': 'Science Policy'}, {'subject': 'Virology'}]",['107186 Bytes'],
-10.5281/zenodo.5217997,Raw data : Observation of two-mode squeezing in a traveling wave parametric amplifier,Zenodo,2021,en,Dataset,"MIT License,Open Access","The raw data used to generate figures presented in the articles is available as qcodes datasets. Fig 2<br> The 100 million quadrature points used to construct statistics in figure 2 are stored at 10 datasets with ids 1 to 10, each containing 10 million points. The data was split in multiple databases to ease storage and processing. Fig 3<br> The pump phase sweep in figure 2 was recorded at 25 points from 0 to pi. Each sweep step is stored as a dataset in the database starting from run id 11 to 35, corresponding to 0 to pi in order. Fig 4<br> The quadratures recorded at delta values 20, 50, 100, 150 and 200 are stored with run id 36 to 40, respectively. Fig SNTJ gain calibration<br> The noise spectrum as a function of voltage applied to SNTJ is stored for frequencies corresponding to the delta values 20, 50, 100, 150 and 200, from run id 41 to 45, respectively.",mds,True,findable,0,0,0,0,0,2021-11-08T19:02:16.000Z,2021-11-08T19:02:18.000Z,cern.zenodo,cern,,,,
-10.5281/zenodo.5727127,"Data related to ""Near-bed sediment transport during offshore bar migration in large-scale experiments""",Zenodo,2021,,Dataset,"Creative Commons Attribution 4.0 International,Open Access","Abstract: This paper presents novel insights into hydrodynamics and sediment fluxes in large-scale laboratory experiments with bi-chromatic wave groups on a relatively steep initial slope (1:15). An Acoustic Concentration and Velocity Profiler provided detailed information of velocity and sand concentration near the bed from shoaling up to the outer breaking zone including suspended sediment and sheet flow transport. The morphological evolution was characterized by offshore migration of the outer breaker bar. Decomposition of the total net transport revealed a balance of onshore-directed, short wave-related and offshore-directed, current-related net transport. The short wave-related transport mainly occurred as bedload over small vertical extents. It was linked to characteristic intrawave sheet flow layer expansions during short wave crests. The current-related transport rate featured lower maximum flux magnitudes but occurred over larger vertical extents. As a result, it was larger than the short wave-related transport rate in all but one cross-shore position, driving the bar's offshore migration. Net flux magnitudes of the infragravity component were comparatively low but played a non-negligible role for total net transport rate in certain cross-shore positions. Net infragravity flux profiles sometimes featured opposing directions over the vertical. The fluxes were linked to a standing infragravity wave pattern and to the correlation of the short wave envelope, controlling suspension, with the infragravity wave velocity. About the data: The data on beach profile (from mechanical profiler), velocity (from ACVP and ADV), sand concentration (from ACVP and OBS) and water surface elevation (from RWG, AWG and PT) measurements is given in .mat (MATLAB) files. The folder “Beach Profiles†contains the measurements from the mechanical profiler before and after each test. To save time, only the morphologically active section of the profiles was measured. Additionally, the folder contains the initial profiles at the start of a sequence (after application of the benchmark waves). Here the full profile was measured. The structure “MobFrame†contains the absolute cross-shore position of the mobile frame (from which detailed measurements were taken) in the considered tests. The folder “ACVP†contains structures with ensemble-averaged velocity and concentration measurements in vertical reference to the undisturbed bed level or a few bins below it (zeta0-coordinate system) sampled at 50.5051Hz. For better interpretation of the measurements, it also features the ensemble-averaged intrawave instantaneous erosion depth (bed elevation) and the upper limit of the sheet flow layer. The folder “ADV†contains structures with the ensemble-averaged ADV data of each test sampled at 100Hz. Apart from the velocity components of each ADV it contains the vertical elevation of each ADV with respect to the ACVP transceiver. The ADV measurements were not subject to the same vertical referencing procedure that was described in the paper for the near-bed ACVP measurements and a more or less constant distance to the bed was assumed. The folder “OBS†contains structures with the ensemble-averaged OBS data of each test sampled at 40Hz. Apart from the concentration measurements it contains the vertical elevation of the OBSs with respect to the ACVP transceiver. The folder “ETA†contains structures with the ensemble-averaged water surface elevation measurements in many different absolute cross-shore locations in the flume sampled at 40Hz. For visualizing the near-bed concentration data, which may not be as trivial as visualizing the rest of the data, an example of MATLAB code is given: %S=ACVP_xx; %to choose which ACVP file you want to look into<br> con=S.c;<br> con(con<1)=1; %to cater for the cells where the logarithm is not defined<br> xphase=linspace(0,1,length(S.solbed)).*ones(size(S.c,2),size(S.c,1));<br> figure; hold on; box on; <br> [C,h]=contourf(xphase,S.z,log10(transpose(con)),[0:0.1:3]); <br> cbh=colorbar; caxis([0 3]); <br> set(h,'edgecolor','none'); <br> tt=get(cbh,'Title'); set(tt,'String','$^{10}log(c)$ $[kg/m^3]$','Interpreter','Latex');<br> plot(xphase(1,:),S.solbed,'k','Linewidth',1.5);<br> plot(xphase(1,:),S.solflo,'r','Linewidth',1.5);<br> xlabel('$t/T_r$','Interpreter','Latex')<br> ylabel('$\zeta_0$ $[m]$','Interpreter','Latex')<br> set(gca,'Fontsize',18)",mds,True,findable,0,0,0,0,0,2021-11-25T12:32:45.000Z,2021-11-25T12:32:46.000Z,cern.zenodo,cern,,,,
-10.5281/zenodo.3813230,"Survey data of ""Mapping Research Output to the Sustainable Development Goals (SDGs)""",Zenodo,2020,en,Dataset,"Creative Commons Attribution 4.0 International,Open Access","<strong>This dataset contains information on what papers and concepts researchers find relevant to map domain specific research output to the 17 Sustainable Development Goals (SDGs).</strong> Sustainable Development Goals are the 17 global challenges set by the United Nations. Within each of the goals specific targets and indicators are mentioned to monitor the progress of reaching those goals by 2030. In an effort to capture how research is contributing to move the needle on those challenges, we earlier have made an initial classification model than enables to quickly identify what research output is related to what SDG. (This Aurora SDG dashboard is the initial outcome as proof of practice.) In order to validate our current classification model (on soundness/precision and completeness/recall), and receive input for improvement, a survey has been conducted to<strong> capture expert knowledge from senior researchers in their research domain related to the SDG</strong>. The survey was open to the world, but mainly distributed to researchers from the Aurora Universities Network. <strong>The survey was open from October 2019 till January 2020, and captured data from 244 respondents in Europe and North America.</strong> 17 surveys were created from a single template, where the content was made specific for each SDG. Content, like a random set of publications, of each survey was ingested by a data provisioning server. That collected research output metadata for each SDG in an earlier stage. It took on average 1 hour for a respondent to complete the survey.<strong> The outcome of the survey data can be used for validating current and optimizing future SDG classification models for mapping research output to the SDGs</strong>. <strong>The survey contains the following questions (see inside dataset for exact wording):</strong> <strong>Are you familiar with this SDG?</strong> Respondents could only proceed if they were familiar with the targets and indicators of this SDG. Goal of this question was to weed out un knowledgeable respondents and to increase the quality of the survey data. <strong>Suggest research papers that are relevant for this SDG (upload list)</strong> This question, to provide a list, was put first to reduce influenced by the other questions. Goal of this question was to measure the completeness/recall of the papers in the result set of our current classification model. (To lower the bar, these lists could be provided by either uploading a file from a reference manager (preferred) in .ris of bibtex format, or by a list of titles. This heterogenous input was processed further on by hand into a uniform format.) <strong>Select research papers that are relevant for this SDG (radio buttons: accept, reject)</strong> A randomly selected set of 100 papers was injected in the survey, out of the full list of thousands of papers in the result set of our current classification model. Goal of this question was to measure the soundness/precision of our current classification model. <strong>Select and Suggest Keywords related to SDG (checkboxes: accept | text field: suggestions)</strong> The survey was injected with the top 100 most frequent keywords that appeared in the metadata of the papers in the result set of the current classification model. respondents could select relevant keywords we found, and add ones in a blank text field. Goal of this question was to get suggestions for keywords we can use to increase the recall of relevant papers in a new classification model. <strong>Suggest SDG related glossaries with relevant keywords (text fields: url)</strong> Open text field to add URL to lists with hundreds of relevant keywords related to this SDG. Goal of this question was to get suggestions for keywords we can use to increase the recall of relevant papers in a new classification model. <strong>Select and Suggest Journals fully related to SDG (checkboxes: accept | text field: suggestions)</strong> The survey was injected with the top 100 most frequent journals that appeared in the metadata of the papers in the result set of the current classification model. Respondents could select relevant journals we found, and add ones in a blank text field. Goal of this question was to get suggestions for complete journals we can use to increase the recall of relevant papers in a new classification model. <strong>Suggest improvements for the current queries (text field: suggestions per target)</strong> We showed respondents the queries we used in our current classification model next to each of the targets within the goal. Open text fields were presented to change, add, re-order, delete something (keywords, boolean operators, etc. ) in the query to improve it in their opinion. Goal of this question was to get suggestions we can use to increase the recall and precision of relevant papers in a new classification model. <strong>In the dataset root you'll find the following folders and files:</strong> <strong>/00-survey-input/</strong> This contains the survey questions for all the individual SDGs. It also contains lists of EIDs categorised to the SDGs we used to make randomized selections from to present to the respondents. <strong>/01-raw-data/</strong> This contains the raw survey output. (Excluding privacy sensitive information for public release.) This data needs to be combined with the data on the provisioning server to make sense. <strong>/02-aggregated-data/</strong> This data is where individual responses are aggregated. Also the survey data is combined with the provisioning server, of all sdg surveys combined, responses are aggregated, and split per question type. <strong>/03-scripts/</strong> This contains scripts to split data, and to add descriptive metadata for text analysis in a later stage. <strong>/04-processed-data/</strong> This is the main final result that can be used for further analysis. Data is split by SDG into subdirectories, in there you'll find files per question type containing the aggregated data of the respondents. <strong>/images/</strong> images of the results used in this README.md. <strong>LICENSE.md</strong> terms and conditions for reusing this data. <strong>README.md</strong> description of the dataset; each subfolders contains a README.md file to futher describe the content of each sub-folder. <strong>In the /04-processed-data/ you'll find in each SDG sub-folder the following files.:</strong> <strong>SDG-survey-questions.pdf</strong> This file contains the survey questions <strong>SDG-survey-questions.doc</strong> This file contains the survey questions <strong>SDG-survey-respondents-per-sdg.csv</strong> Basic information about the survey and responses <strong>SDG-survey-city-heatmap.csv</strong> Origin of the respondents per SDG survey <strong>SDG-survey-suggested-publications.txt</strong> Formatted list of research papers researchers have uploaded or listed they want to see back in the result-set for this SDG. <strong>SDG-survey-suggested-publications-with-eid-match.csv</strong> same as above, only matched with an EID. EIDs are matched my Elsevier's internal fuzzy matching algorithm. Only papers with high confidence are show with a match of an EID, referring to a record in Scopus. <strong>SDG-survey-selected-publications-accepted.csv</strong> Based on our previous result set of papers, researchers were presented random samples, they selected papers they believe represent this SDG. (TRUE=accepted) <strong>SDG-survey-selected-publications-rejected.csv</strong> Based on our previous result set of papers, researchers were presented random samples, they selected papers they believe not to represent this SDG. (FALSE=rejected) <strong>SDG-survey-selected-keywords.csv</strong> Based on our previous result set of papers, we presented researchers the keywords that are in the metadata of those papers, they selected keywords they believe represent this SDG. <strong>SDG-survey-unselected-keywords.csv</strong> As ""selected-keywords"", this is the list of keywords that respondents have not selected to represent this SDG. <strong>SDG-survey-suggested-keywords.csv</strong> List of keywords researchers suggest to use to find papers related to this SDG <strong>SDG-survey-glossaries.csv</strong> List of glossaries, containing keywords, researchers suggest to use to find papers related to this SDG <strong>SDG-survey-selected-journals.csv</strong> Based on our previous result set of papers, we presented researchers the journals that are in the metadata of those papers, they selected journals they believe represent this SDG. <strong>SDG-survey-unselected-journals.csv</strong> As ""selected-journals"", this is the list of journals that respondents have not selected to represent this SDG. <strong>SDG-survey-suggested-journals.csv</strong> List of journals researchers suggest to use to find papers related to this SDG <strong>SDG-survey-suggested-query.csv</strong> List of query improvements researchers suggest to use to find papers related to this SDG <strong>Cite as:</strong> <em>Survey data of ""Mapping Research output to the SDGs""</em> by Aurora Universities Network (AUR) doi:10.5281/zenodo.3798385 <strong>Attribute as:</strong> <em><strong>Survey data of ""Mapping Research output to the SDGs</strong>""</em> by Aurora Universities Network (AUR); Alessandro Arienzo (UNA); Roberto Delle Donne (UNA); Ignasi Salvadó Estivill (URV); José Luis González Ugarte (URV); Didier Vercueil (UGA); Nykohla Strong (UAB); Eike Spielberg (UDE); Felix Schmidt (UDE); Linda Hasse (UDE); Ane Sesma (UEA); Baldvin Zarioh (UIC); Friedrich Gaigg (UIN); René Otten (VUA); Nicolien van der Grijp (VUA); Yasin Gunes (VUA); Peter van den Besselaar (VUA); Joeri Both (VUA); Maurice Vanderfeesten (VUA);<strong> is licensed under a Creative Commons Attribution 4.0 International License.</strong> https://aurora-network.global/project/sdg-analysis-bibliometrics-relevance/",mds,True,findable,0,0,0,1,0,2020-05-07T09:14:10.000Z,2020-05-07T09:14:10.000Z,cern.zenodo,cern,"Sustainable Development Goals,SDG,Mapping Research,Matching Research,Recision,Recall,Survey,Questionnaire,Aurora Universites,Classification model","[{'subject': 'Sustainable Development Goals'}, {'subject': 'SDG'}, {'subject': 'Mapping Research'}, {'subject': 'Matching Research'}, {'subject': 'Recision'}, {'subject': 'Recall'}, {'subject': 'Survey'}, {'subject': 'Questionnaire'}, {'subject': 'Aurora Universites'}, {'subject': 'Classification model'}]",,
-10.5061/dryad.b8gtht78h,Global gradients in intraspecific variation in vegetative and floral traits are partially associated with climate and species richness,Dryad,2020,en,Dataset,Creative Commons Zero v1.0 Universal,"Aim Intraspecific trait variation (ITV) within natural plant communities can be large, influencing local ecological processes and dynamics. Here, we shed light on how ITV in vegetative and floral traits responds to large-scale abiotic and biotic gradients (i.e. climate and species richness). Specifically, we tested if associations of ITV with temperature, precipitation and species richness were consistent with any of from four hypotheses relating to stress-tolerance and competition. Furthermore, we estimated the degree of correlation between ITV in vegetative and floral traits and how they vary along the gradients. Location Global. Time period 1975-2016. Major taxa studied Herbaceous and woody plants. Methods We compiled a dataset of 18,112 measurements of the absolute extent of ITV (measured as coefficient of variation) in nine vegetative and seven floral traits from 2,774 herbaceous and woody species at 2,306 locations. Results Large-scale associations between ITV and climate were trait-specific and more prominent for vegetative traits, especially leaf morphology, than for floral traits. ITV showed pronounced associations with climate, with lower ITV values in colder areas and higher values in drier areas. The associations of ITV with species richness were inconsistent across traits. Species-specific associations across gradients were often idiosyncratic and covariation in ITV was weaker between vegetative and floral traits than within the two trait groups. Main conclusions Our results show that, depending on the traits considered, ITV either increased or decreased with climate stress and species richness, suggesting that both factors can constrain or enhance ITV, which might foster plant-population persistence under stressful conditions. Given the species-specific responses and covariation in ITV, associations can be hard to predict for traits and species not yet studied. We conclude that considering ITV can improve our understanding of how plants cope with stressful conditions and environmental change across spatial and biological scales.",mds,True,findable,257,44,1,1,0,2020-02-04T15:41:47.000Z,2020-02-04T15:41:48.000Z,dryad.dryad,dryad,"functional plant traits,flower trait,Leaf trait","[{'subject': 'functional plant traits'}, {'subject': 'flower trait'}, {'subject': 'Leaf trait'}]",['2467474 bytes'],
-10.5281/zenodo.4804641,FIGURES 22–27 in Review and contribution to the stonefly (Insecta: Plecoptera) fauna of Azerbaijan,Zenodo,2021,,Image,Open Access,"FIGURES 22–27. Larval characters of Protonemura sp. AZE-1 from the Talysh Mts—22: pronotum, dorsal view; 23: terga 4–7, dorsal view; 24: hind femur and tibia, lateral view; 25: cercus and hind tarsus, lateral view; 26: male terminalia, ventral view; 27: female terminalia, ventral view.",mds,True,findable,0,0,2,0,0,2021-05-26T07:55:14.000Z,2021-05-26T07:55:17.000Z,cern.zenodo,cern,"Biodiversity,Taxonomy,Animalia,Arthropoda,Insecta,Plecoptera,Nemouridae,Protonemura","[{'subject': 'Biodiversity'}, {'subject': 'Taxonomy'}, {'subject': 'Animalia'}, {'subject': 'Arthropoda'}, {'subject': 'Insecta'}, {'subject': 'Plecoptera'}, {'subject': 'Nemouridae'}, {'subject': 'Protonemura'}]",,
-10.5281/zenodo.4753291,Fig. 25 in A New Perlodes Species And Its Subspecies From The Balkan Peninsula (Plecoptera: Perlodidae),Zenodo,2012,,Image,"Creative Commons Attribution 4.0 International,Open Access",Fig. 25. Known localities of Perlodes floridus floridus sp. n. (dot) and P. floridus peloponnesiacus ssp. n. (circle).,mds,True,findable,0,0,2,0,0,2021-05-12T18:33:54.000Z,2021-05-12T18:33:55.000Z,cern.zenodo,cern,"Biodiversity,Taxonomy,Animalia,Arthropoda,Insecta,Plecoptera,Perlodidae,Perlodes","[{'subject': 'Biodiversity'}, {'subject': 'Taxonomy'}, {'subject': 'Animalia'}, {'subject': 'Arthropoda'}, {'subject': 'Insecta'}, {'subject': 'Plecoptera'}, {'subject': 'Perlodidae'}, {'subject': 'Perlodes'}]",,
-10.57757/iugg23-4534,Deep-learning-based phase picking in SeisComP using SeisBench,GFZ German Research Centre for Geosciences,2023,en,ConferencePaper,Creative Commons Attribution 4.0 International,"<!--!introduction!--><b></b><p>The open-source, seismological software package SeisComP is widely used for seismic monitoring world-wide. Its automatic phase picking module consists of an STA/LTA-based P-wave detector augmented by an AIC onset picker. With proper configuration, it allows detection and accurate onset picking for a wide range of seismic signals. However, it cannot match the performance of experienced analysts. Especially broadband data are often challenging for phase pickers due to the enormous variety of the signals of interest. <br><br>In order to optimize quality and number of automatic picks and reduce time-consuming manual revision, we chose to develop a machine-learning repicker module for SeisComP based on the SeisBench framework. SeisBench supports several deep-learning pickers and comes pre-trained for different benchmark datasets, one of which was contributed by GFZ Potsdam.<br><br>The repicking module consists of several submodules that interact with both SeisComP and SeisBench via their Python interfaces. The current workflow is based on existing locations generated with a classical SeisComP setup. Shortly after event detection and preliminary location, our repicker (1) starts to repick previously picked onsets and (2) attempts to generate additional picks.<br><br>Preliminary results are encouraging. The deep-learning repicker substantially improves pick quality over a large frequency range. The number of picks available per event has approximately doubled and the publication delay is often reduced, especially for small events. The total number of published events has increased by about 20 per cent.</p>",fabricaForm,True,findable,0,0,0,0,0,2023-07-03T19:58:01.000Z,2023-07-11T19:19:09.000Z,gfz.iugg2023,gfz,,,,
-10.5281/zenodo.7147022,CaliParticles: A Benchmark Standard for Experiments in Granular Materials,Zenodo,2022,en,Dataset,"Creative Commons Attribution 4.0 International,Open Access","Granular materials are discrete particulate media that can flow like a liquid but also be rigid like a solid. This complex mechanical behavior originates in part from the particles shape. How particle shape affects mechanical behavior remains poorly understood. Understanding this micro-macro link would enable the rational design of potentially cheap, light weight or robust materials. To aid this development, we have produced a set of standard particle shapes that can be used as benchmarks for granular materials research. Here we describe the collection of benchmark shapes. Some part of the particles are modeled on superquadrics, others are custom designed. The particles used so far were made from polyoxymethylene (POM) whose specifications are also listed. The benchmark shapes are available as molds in a plastics manufacturing company, whose contact information is also included. The company is capable of making other molds as well, giving access to more particle shapes. The same particle shapes can thus also be made in different types of (colored) plastic, and in amounts of 50.000 particles or more, larger than conveniently be produced with a 3D printer. We also provide the associated .step and .stl files in the repository in which this document is included.",mds,True,findable,0,0,0,0,0,2022-10-17T08:50:34.000Z,2022-10-17T08:50:34.000Z,cern.zenodo,cern,"Particles,Macaroni,Ellipsoid,Tetrapod,Hexapod,Sphereotetrahedron,Caliper","[{'subject': 'Particles'}, {'subject': 'Macaroni'}, {'subject': 'Ellipsoid'}, {'subject': 'Tetrapod'}, {'subject': 'Hexapod'}, {'subject': 'Sphereotetrahedron'}, {'subject': 'Caliper'}]",,
-10.5061/dryad.3bk3j9kph,"Diet composition of moose (Alces alces) in winter, Sweden",Dryad,2023,en,Dataset,Creative Commons Zero v1.0 Universal,"1. Differences in botanical diet compositions among a large number of moose fecal samples collected during winter correlated with the nutritional differences identified in the same samples (Mantel-r = 0.89, p = 0.001), but the nutritional differences were significantly smaller (p < 0.001). 2. Nutritional geometry revealed that moose mixed Scots pine Pinus sylvestris and Vaccinium spp. as nutritionally complementary foods to reach a nutritional target resembling Salix spp. twigs, and selected for Salix spp. browse (Jacob’s D > 0). 3. Available protein (AP) and total non-structural carbohydrates (TNC) were significantly correlated in observed diets but not in hypothetical diets based on food availability. 4. The level of Acetoacetate in moose serum (i.e., ‘starvation’) was weakly negatively associated with digestibility of diets (p = 0.08) and unrelated to increasing AP:TNC and AP:NDF ratios in diets (p > 0.1). 5. Our study is the first to demonstrate complementary feeding in free-ranging moose to attain a nutritional target that has previously been suggested in a feeding trial with captive moose. Our results add support to the hypothesis of nutritional balancing as a driver in the nutritional strategy of moose with implications for both the management of moose and food resources.",mds,True,findable,100,7,0,0,0,2023-02-03T23:45:47.000Z,2023-02-03T23:45:48.000Z,dryad.dryad,dryad,"FOS: Animal and dairy science,FOS: Animal and dairy science,Alces alces,Herbivory,nutritional ecology,Nutritional Geometry,ungulate diets","[{'subject': 'FOS: Animal and dairy science', 'subjectScheme': 'fos'}, {'subject': 'FOS: Animal and dairy science', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Alces alces'}, {'subject': 'Herbivory', 'schemeUri': 'https://github.com/PLOS/plos-thesaurus', 'subjectScheme': 'PLOS Subject Area Thesaurus'}, {'subject': 'nutritional ecology'}, {'subject': 'Nutritional Geometry'}, {'subject': 'ungulate diets'}]",['53329 bytes'],
-10.6084/m9.figshare.c.6690029.v1,3DVizSNP: a tool for rapidly visualizing missense mutations identified in high throughput experiments in iCn3D,figshare,2023,,Collection,Creative Commons Attribution 4.0 International,"Abstract Background High throughput experiments in cancer and other areas of genomic research identify large numbers of sequence variants that need to be evaluated for phenotypic impact. While many tools exist to score the likely impact of single nucleotide polymorphisms (SNPs) based on sequence alone, the three-dimensional structural environment is essential for understanding the biological impact of a nonsynonymous mutation. Results We present a program, 3DVizSNP, that enables the rapid visualization of nonsynonymous missense mutations extracted from a variant caller format file using the web-based iCn3D visualization platform. The program, written in Python, leverages REST APIs and can be run locally without installing any other software or databases, or from a webserver hosted by the National Cancer Institute. It automatically selects the appropriate experimental structure from the Protein Data Bank, if available, or the predicted structure from the AlphaFold database, enabling users to rapidly screen SNPs based on their local structural environment. 3DVizSNP leverages iCn3D annotations and its structural analysis functions to assess changes in structural contacts associated with mutations. Conclusions This tool enables researchers to efficiently make use of 3D structural information to prioritize mutations for further computational and experimental impact assessment. The program is available as a webserver at https://analysistools.cancer.gov/3dvizsnp or as a standalone python program at https://github.com/CBIIT-CGBB/3DVizSNP .",mds,True,findable,0,0,0,0,0,2023-06-10T03:21:53.000Z,2023-06-10T03:21:53.000Z,figshare.ars,otjm,"Space Science,Medicine,Genetics,FOS: Biological sciences,69999 Biological Sciences not elsewhere classified,80699 Information Systems not elsewhere classified,FOS: Computer and information sciences,Cancer,Plant Biology","[{'subject': 'Space Science'}, {'subject': 'Medicine'}, {'subject': 'Genetics'}, {'subject': 'FOS: Biological sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': '69999 Biological Sciences not elsewhere classified', 'schemeUri': 'http://www.abs.gov.au/ausstats/abs@.nsf/0/6BB427AB9696C225CA2574180004463E', 'subjectScheme': 'FOR'}, {'subject': '80699 Information Systems not elsewhere classified', 'schemeUri': 'http://www.abs.gov.au/ausstats/abs@.nsf/0/6BB427AB9696C225CA2574180004463E', 'subjectScheme': 'FOR'}, {'subject': 'FOS: Computer and information sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Cancer'}, {'subject': 'Plant Biology'}]",,
-10.6084/m9.figshare.23575375,Additional file 6 of Decoupling of arsenic and iron release from ferrihydrite suspension under reducing conditions: a biogeochemical model,figshare,2023,,Text,Creative Commons Attribution 4.0 International,Authors’ original file for figure 5,mds,True,findable,0,0,0,0,0,2023-06-25T03:11:53.000Z,2023-06-25T03:11:53.000Z,figshare.ars,otjm,"59999 Environmental Sciences not elsewhere classified,FOS: Earth and related environmental sciences,39999 Chemical Sciences not elsewhere classified,FOS: Chemical sciences,Ecology,FOS: Biological sciences,69999 Biological Sciences not elsewhere classified,Cancer","[{'subject': '59999 Environmental Sciences not elsewhere classified', 'schemeUri': 'http://www.abs.gov.au/ausstats/abs@.nsf/0/6BB427AB9696C225CA2574180004463E', 'subjectScheme': 'FOR'}, {'subject': 'FOS: Earth and related environmental sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': '39999 Chemical Sciences not elsewhere classified', 'schemeUri': 'http://www.abs.gov.au/ausstats/abs@.nsf/0/6BB427AB9696C225CA2574180004463E', 'subjectScheme': 'FOR'}, {'subject': 'FOS: Chemical sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Ecology'}, {'subject': 'FOS: Biological sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': '69999 Biological Sciences not elsewhere classified', 'schemeUri': 'http://www.abs.gov.au/ausstats/abs@.nsf/0/6BB427AB9696C225CA2574180004463E', 'subjectScheme': 'FOR'}, {'subject': 'Cancer'}]",['67584 Bytes'],
-10.6084/m9.figshare.c.6593063,"Promoting HPV vaccination at school: a mixed methods study exploring knowledge, beliefs and attitudes of French school staff",figshare,2023,,Collection,Creative Commons Attribution 4.0 International,"Abstract Background HPV vaccine coverage in France remained lower than in most other high-income countries. Within the diagnostic phase of the national PrevHPV program, we carried out a mixed methods study among school staff to assess their knowledge, beliefs and attitudes regarding HPV, HPV vaccine and vaccination in general, and regarding schools’ role in promoting HPV vaccination. Methods Middle school nurses, teachers and support staff from four French regions participated between January 2020 and May 2021. We combined: (i) quantitative data from self-administered online questionnaires (n = 301), analysed using descriptive statistics; and (ii) qualitative data from three focus groups (n = 14), thematically analysed. Results Less than half of respondents knew that HPV can cause genital warts or oral cancers and only 18% that no antiviral treatment exists. Almost 90% of the respondents knew the existence of the HPV vaccine but some misunderstood why it is recommended before the first sexual relationships and for boys; 56% doubted about its safety, especially because they think there is not enough information on this topic. Schools nurses had greater knowledge than other professionals and claimed that educating pupils about HPV was fully part of their job roles; however, they rarely address this topic due to a lack of knowledge/tools. Professionals (school nurses, teachers and support staff) who participated in the focus groups were unfavourable to offering vaccination at school because of parents’ negative reactions, lack of resources, and perceived uselessness. Conclusions These results highlight the need to improve school staff knowledge on HPV. Parents should be involved in intervention promoting HPV vaccination to prevent their potential negative reactions, as feared by school staff. Several barriers should also be addressed before organizing school vaccination programs in France.",mds,True,findable,0,0,0,0,0,2023-04-13T14:58:33.000Z,2023-04-13T14:58:33.000Z,figshare.ars,otjm,"Medicine,Molecular Biology,Biotechnology,Sociology,FOS: Sociology,69999 Biological Sciences not elsewhere classified,FOS: Biological sciences,Cancer,Science Policy,110309 Infectious Diseases,FOS: Health sciences","[{'subject': 'Medicine'}, {'subject': 'Molecular Biology'}, {'subject': 'Biotechnology'}, {'subject': 'Sociology'}, {'subject': 'FOS: Sociology', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': '69999 Biological Sciences not elsewhere classified', 'schemeUri': 'http://www.abs.gov.au/ausstats/abs@.nsf/0/6BB427AB9696C225CA2574180004463E', 'subjectScheme': 'FOR'}, {'subject': 'FOS: Biological sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Cancer'}, {'subject': 'Science Policy'}, {'subject': '110309 Infectious Diseases', 'schemeUri': 'http://www.abs.gov.au/ausstats/abs@.nsf/0/6BB427AB9696C225CA2574180004463E', 'subjectScheme': 'FOR'}, {'subject': 'FOS: Health sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}]",,
-10.5281/zenodo.1035485,Code and data from: Global conservation of species' niches,Zenodo,2020,en,Software,"GNU Affero General Public License v3.0 or later,Open Access","This digital archive contains code and data associated with the publication ""Global conservation of species’ niches"" by Hanson et al. (2020). Note that many of the raw data files (e.g. extent of suitable habitat maps, protected area data) are not available in this archive, and must be obtained from the original sources (see README files for more information).",mds,True,findable,34,0,0,0,0,2020-03-19T21:03:35.000Z,2020-03-19T21:03:36.000Z,cern.zenodo,cern,"protected areas,evolution,biodiversity,Key Biodiversity Areas","[{'subject': 'protected areas'}, {'subject': 'evolution'}, {'subject': 'biodiversity'}, {'subject': 'Key Biodiversity Areas'}]",,
-10.5281/zenodo.3345743,"Companion code for ""When and how can Stacked Species Distribution Models predict local richness?""",Zenodo,2019,en,Software,Restricted Access,"<strong>When and how can Stacked Species Distribution Models predict local richness?</strong> This repository contains the data and code for our paper: Grenié M., Violle C, Munoz F.<em> When and how can Stacked Species Distribution Models predict local richness?</em>. submitted to <em>Ecological Indicators</em>. <strong>How to cite</strong> Please cite this compendium as: Grenié M., Violle C, Munoz F., (2019). <em>Compendium of R code and data for When and how can Stacked Species Distribution Models predict local richness?</em>. Accessed 29 july 2019. Online at <https://doi.org/10.5281/zenodo.3345743> <strong>How to download or install</strong> You can download the compendium from Zenodo https://doi.org/10.5281/zenodo.3345743 Or you can install this compendium as an R package, `comsat`, from<br> GitHub with: <pre><code># install.packages(""devtools"") remotes::install_github(""Rekyt/comsat"")</code></pre> <strong>How to run the analyses</strong> This compendium uses drake to make analyses reproducible. To redo the analyses and rebuild the manuscript run the following lines (from the `comsat` folder): <pre><code># install.packages(""devtools"") pkgload::load_all() # Load all functions included in the package make(comsat_drake_plan()) # Run Analyses</code></pre> Beware that some code make time a long time to run, and it may be useful<br> to run analyses in parallel.",mds,True,findable,0,0,0,0,0,2019-07-29T11:28:01.000Z,2019-07-29T11:28:02.000Z,cern.zenodo,cern,,,,
-10.5281/zenodo.8223563,InGaN/GaN QWs on Si,Zenodo,2023,,Dataset,Creative Commons Attribution 4.0 International,"Dataset for the project of high TD density QWs grown on Si, published here.
-The different sub-datasets are named after:
+ (1) Galle et al. (2018). AMMA-CATCH a Critical Zone Observatory in West Africa Monitoring a Region in Transition. Vadose Zone Journal, 17 (1), 18006.
+ (2) AMMA-CATCH (1990). AMMA-CATCH : a hydrological, meteorological and ecological observatory on West Africa. IRD, CNRS-INSU, OSUG, OMP, OREME. doi:10.17178/AMMA-CATCH.all
-the measurement technique, from [ Atomic Force Microscopy (AFM) ; Cathodoluminescence (CL) mapping ; Power-dependent photoluminescence (PL) series (P-series) ; Scanning Electron Micrographs (SEM) ; Temperature-dependent P-series (T-P-series) ; Transmission Electron Microscopy (TEM) ; Time-resolved PL (TRPL) ];
-the sample name, from [ R = A4286 ; U = A4287 ; V = A4289 ].
-Further relevant information can be found in the .zip folders, in README files.",mds,True,findable,0,0,0,0,0,2023-09-18T19:41:32.000Z,2023-09-18T19:41:33.000Z,cern.zenodo,cern,,,,
-10.5281/zenodo.4273949,A Schwarz iterative method to evaluate ocean- atmosphere coupling schemes. Implementation and diagnostics in IPSL-CM6-SW-VLR. GMD-2020-307,Zenodo,2020,,Dataset,"Creative Commons Attribution 4.0 International,Open Access","These files are associated with an article submitted to Geoscientific Model Development (https://www.geoscientific-model-development.net) with reference GMD-2020-307 : A Schwarz iterative method to evaluate ocean- atmosphere coupling schemes. Implementation and diagnostics in IPSL-CM6-SW-VLR.<br> By Olivier Marti, Sébastien Nguyen, Pascale Braconnot, Sophie Valcke, Florian Lemarié, and Eric Blayo It contains :<br> - The model code used for the study<br> - The model outputs used for the study<br> - The script used to produce the figures. Contact : Olivier Marti - olivier.marti@lsce.ipsl.fr",mds,True,findable,0,0,0,0,0,2020-11-15T19:21:53.000Z,2020-11-15T19:21:54.000Z,cern.zenodo,cern,,,,
-10.5281/zenodo.5899162,Materials synthesis at terapascal static pressures,Zenodo,2022,,Dataset,"Creative Commons Attribution 4.0 International,Open Access","Extended Data for manuscript ""Materials synthesis at terapascal static pressures"".",mds,True,findable,0,0,0,0,0,2022-01-24T20:00:12.000Z,2022-01-24T20:00:16.000Z,cern.zenodo,cern,,,,
+Optional: cite the DOI of each dataset used.
+
+Co-authorship: depending on the contribution of the data to the scientific results obtained, the authors should either propose co-authorship to the data providers or at least acknowledge their contribution.",Documentation of charge-discharge processes of the saprolith groundwater on the Donga catchment. Contibution to the water balance of the Donga catchment Electric conductivity is an integrative measurement of the groundwater chemical composition. This parameter is used to define the groundwater pole in hydrograph separations.,mds,True,findable,0,0,1,0,0,2018-03-16T15:37:09.000Z,2018-03-16T15:37:10.000Z,inist.osug,jbru,"Aquifer, recharge, groundwater,Sudanian climate,Water Table","[{'subject': 'Aquifer, recharge, groundwater', 'subjectScheme': 'main'}, {'subject': 'Sudanian climate', 'subjectScheme': 'main'}, {'subject': 'Water Table', 'subjectScheme': 'var'}]",,"['CSV', 'NETCDF', 'O&M 1.0']"
+10.57757/iugg23-2595,A broader look at licensing and copyright issues for global seismological data and products from a data center perspective,GFZ German Research Centre for Geosciences,2023,en,ConferencePaper,Creative Commons Attribution 4.0 International,"<!--!introduction!--><b></b><p>Sharing data - arrival time readings, earthquake parameters, waveforms and further derived products - has for many decades been key to the scientific advancement of seismology and our understanding of the Earth. The establishment of data centers, from institutional to global, that receive, archive, curate and make accessible large volumes of seismological data, following community standards and best practices, was a logical consequence. IASPEI, with its commissions, evolved as a de-facto standards body for seismological data, governed by the community of data providers and users alike.</p><p>However, conditions of use for these shared data did not receive much attention by data providers, distributors, and groups working on the definition of standards of data and services. If mentioned at all, generic statements on allowed use were provided somewhere on websites that offered access, often declaring ‘only for scientific/academic purposes’ or ‘not for commercial purposes’. Driven by the desire or requirement to improve FAIRness of our data, better understand data usage and adapt to technological changes, and support open science, putting proper licenses on data and metadata has now become a significant topic.</p><p>In this presentation we look at current practices and evolving ideas regarding application of licenses to the holdings of seismological data centers, covering waveforms, earthquake parameters, and further derived products, also including views from other geoscience domains. The relation to (legal) copyright and intellectual property issues, local/national licensing regulations that may hinder a globally uniform approach, and downstream implications for citation, attribution and general re-use of data will also be addressed.</p>",fabricaForm,True,findable,0,0,0,0,0,2023-06-12T10:12:32.000Z,2023-06-16T10:01:50.000Z,gfz.iugg2023,gfz,,,,
+10.5281/zenodo.6941739,Dataset of publication: Deposit-feeding of Nonionellina labradorica (foraminifera) from an Arctic methane seep site and possible association with a methanotroph,Zenodo,2022,en,Dataset,"Creative Commons Attribution 4.0 International,Open Access","This file contains all TEM (Transmission Electron Microscopy) images of the foraminifera <em>N. labradorica </em>(foraminifera)<em> </em>used in a feeding experiment for the publication DOI: https://doi.org/10.5194/bg-2021-284 Samples were collected at Gas Hydrate Pingo 3 (GHP3), app. 50 km south of Svalbard at 382m water depth at the mouth of Storfjordrenna, Barents Sea. Blade corer (BLC18) used for sampling was taken at following location 76°6'23.7""N 15°58'1.7""E. After sampling a feeding experiment was performed using the marine methanothroph<em> Methyloprofundus sedimenti</em>. More details can be fount in the methods paper. The file contains",mds,True,findable,0,0,0,0,0,2022-08-12T18:51:39.000Z,2022-08-12T18:51:40.000Z,cern.zenodo,cern,"TEM, Transmission electron microscopy, feeding, foraminifera","[{'subject': 'TEM, Transmission electron microscopy, feeding, foraminifera'}]",,
+10.5281/zenodo.8046630,Melissa: coordinating large-scale ensemble runs for deep learning and sensitivity analyses,Zenodo,2023,en,Software,"BSD 3-Clause Clear License,Open Access","Melissa is a file avoiding, fault tolerant and elastic framework, generalized to perform ensemble runs such as <em>large scale sensitivity analysis</em> and <em>large scale deep surrogate training</em> on supercomputers. Some of the largest Melissa studies so far employed up to 30k cores to execute 80 000 parallel simulations while avoiding up to 288 TB of intermediate data storage. These large-scale studies avoid intermediate file storage due to Melissa's ""online"" (also referred to as in-transit and on-the-fly) data handling approach. Melissa's architecture relies on three interacting components, the launcher, the server, and the client: Melissa client: the parallel numerical simulation code turned into a client. Each client sends its output to the server as soon as available. Clients are independent jobs. Melissa server: a parallelized process in charge of processing the data upon arrival from the distributed and parallelized clients (<em>e.g.</em> computing statistics or training a neural network). Melissa Launcher: the front-end Python script in charge of orchestrating the execution of the study. This piece of code interacts directly with <code>OpenMPI</code> or with the cluster scheduler (<em>e.g.</em> <code>slurm</code> or <code>OAR</code>) to submit and monitor the proper execution of all instances. The Melissa server component is designed to be specialized for various types of ensemble runs: Sensitivity Analysis (melissa-sa) Melissa's sensitivity analysis server is built around two key concepts: iterative (sometimes also called incremental) statistics algorithms and asynchronous client/server model for data transfer. Simulation outputs are never stored on disk. Instead, they are sent via NxM communication patterns from the simulations to a parallelized server. This method of data aggregation enables the calculation of rapid statistical fields in an iterative fashion, without storing any data to disk. Avoiding disk storage opens up the ability to compute oblivious statistical maps for all mesh elements, for every time step and on a full resolution study. Melissa comes with iterative algorithms for computing various statistical quantities (<em>e.g.</em> mean, variance, skewness, kurtosis and Sobol indices) and can easily be extended with new algorithms. Deep Surrogate Training (melissa-dl) Melissa's deep learning server adopts a similar philosophy. Clients communicate data in a round-robin fashion to the parallelized server. The multi-threaded server then puts and pulls data samples in and out of a buffer which is used for building training batches. Melissa can perform data distributed parallelism training on several GPUs, associating a buffer to each of them. To ensure a proper memory management during execution, samples are selected and evicted according to a predefined policy. This strategy enables the online training method shown in. Furthermore, the Melissa architecture is designed to accommodate popular deep learning libraries such as PyTorch or Tensorflow.",mds,True,findable,0,0,0,0,0,2023-06-16T09:40:23.000Z,2023-06-16T09:40:24.000Z,cern.zenodo,cern,"supercomputing,sensitivity analysis,deep learning,distributed systems,orchestration,ensemble runs","[{'subject': 'supercomputing'}, {'subject': 'sensitivity analysis'}, {'subject': 'deep learning'}, {'subject': 'distributed systems'}, {'subject': 'orchestration'}, {'subject': 'ensemble runs'}]",,
+10.17178/emaa_n2h-plus_hyperfine_e9d3c782,Hyperfine excitation of N2H+ by para-H2 collisions,"UGA, CNRS, CNRS-INSU, OSUG",2021,en,Dataset,"Please acknowledge the use of EMAA Database by citing the original articles in which the data were published (BibTeX format available), and adding the following sentence in your publication:
+This research has made use of spectroscopic and collisional data from the EMAA database (https://emaa.osug.fr). EMAA is supported by the Observatoire des Sciences de l'Univers de Grenoble (OSUG),Creative Commons Attribution 4.0 International,Data access and use are ruled by the EMAA data policy.",64 hyperfine energy levels / 156 radiative transitions / 1946 collisional transitions for para-H2 (14 temperatures in the range 5-70K),mds,True,findable,0,0,0,0,0,2021-11-18T13:35:23.000Z,2021-11-18T13:35:24.000Z,inist.osug,jbru,"target N2H+,excitationType Hyperfine,collisional excitation,collider.0 para-H2,astrophysics,interstellar medium,comets,circumstellar medium,gas,microwave spectroscopy,infrared spectroscopy,rotational excitation,rovibrational excitation,vibrational excitation,electronic excitation,collisional rate coefficients,fine structure,hyperfine structure","[{'subject': 'target N2H+', 'subjectScheme': 'main'}, {'subject': 'excitationType Hyperfine', 'subjectScheme': 'main'}, {'subject': 'collisional excitation', 'subjectScheme': 'main'}, {'subject': 'collider.0 para-H2', 'subjectScheme': 'var'}, {'subject': 'astrophysics', 'subjectScheme': 'var'}, {'subject': 'interstellar medium', 'subjectScheme': 'var'}, {'subject': 'comets', 'subjectScheme': 'var'}, {'subject': 'circumstellar medium', 'subjectScheme': 'var'}, {'subject': 'gas', 'subjectScheme': 'var'}, {'subject': 'microwave spectroscopy', 'subjectScheme': 'var'}, {'subject': 'infrared spectroscopy', 'subjectScheme': 'var'}, {'subject': 'rotational excitation', 'subjectScheme': 'var'}, {'subject': 'rovibrational excitation', 'subjectScheme': 'var'}, {'subject': 'vibrational excitation', 'subjectScheme': 'var'}, {'subject': 'electronic excitation', 'subjectScheme': 'var'}, {'subject': 'collisional rate coefficients', 'subjectScheme': 'var'}, {'subject': 'fine structure', 'subjectScheme': 'var'}, {'subject': 'hyperfine structure', 'subjectScheme': 'var'}]",,['Radex']
+10.17178/draixbleone_gal_rob_cond_1719,Electrical conductivity of the river Galabre at the Robine station of the Galabre watershed,IGE - CNRS - OSUG,2020,en,Dataset,"Creative Commons Attribution 4.0 International,The following acknowledging sentence should appear in publications using data and products from the Galabre watershed of the Draix Bleone Observatory: ""DRAIX BLEONE is funded by the Institut National des Sciences de l’Univers (INSU/CNRS) and the Observatoire des Sciences de l’Univers de Grenoble (OSUG / Université Grenoble Alpes)â€.,Always quote below citation to Legout et al. (submitted) when using these data. Legout C., Freche G., Biron R., Esteves M., Nord G, Navratil O., Uber M., Grangeon T., Hachgenei N., Boudevillain B. Voiron C., Spadini L. A critical zone observatory dedicated to suspended sediment transport: the meso-scale Galabre catchment (southern French Alps), submitted to Hydrological Processes.",This conductivity data set is part of the DRAIXBLEONE_GAL observatory.,mds,True,findable,0,0,0,0,0,2020-09-15T15:58:38.000Z,2020-09-15T15:58:39.000Z,inist.osug,jbru,"Mediterranean mountainous climate,Surface water,Hydrology,Water quality / Water chemistry","[{'subject': 'Mediterranean mountainous climate', 'subjectScheme': 'main'}, {'subject': 'Surface water', 'subjectScheme': 'var'}, {'subject': 'Hydrology', 'subjectScheme': 'var'}, {'subject': 'Water quality / Water chemistry', 'subjectScheme': 'var'}]",,['CSV']
+10.18709/perscido.2022.06.ds369,CampusIoT anonymized LoRaWAN dataset,PerSCiDo,2022,en,Dataset,,"A dataset containing 130 million entries of LoRaWAN network logs produced by CampusIoT, including basic radio features and gateways' management messages (eg: official links between DevEUI and DevAddr). See the attached document for a more precise description of the fields available.",fabrica,True,findable,0,0,0,0,0,2022-06-29T14:08:22.000Z,2022-06-29T14:08:23.000Z,inist.persyval,vcob,"Information technology,Computer science,Engineering","[{'lang': 'en', 'subject': 'Information technology'}, {'lang': 'en', 'subject': 'Computer science'}, {'lang': 'en', 'subject': 'Engineering'}]",['6.2Mo'],
+10.5061/dryad.fbg79cnx2,"Past, present and future of chamois science",Dryad,2022,en,Dataset,Creative Commons Zero v1.0 Universal,"The chamois Rupicapra spp. is the most abundant mountain ungulate of Europe and the Near East, where it occurs as two species, the Northern chamois R. rupicapra and the Southern chamois R. pyrenaica. Here, we provide a state-of-the-art overview of research trends and the most challenging issues in chamois research and conservation, focusing on taxonomy and systematics, genetics, life history, ecology and behavior, physiology and disease, management, and conservation. Research on Rupicapra has a longstanding history and has contributed substantially to the biological and ecological knowledge of mountain ungulates. Although the number of publications on this genus has markedly increased over the past two decades, major differences persist with respect to knowledge of species and subspecies, with research mostly focusing on the Alpine chamois R. r. rupicapra and, to a lesser extent, the Pyrenean chamois R. p. pyrenaica. In addition, a scarcity of replicate studies of populations of different subspecies and/or geographic areas limits the advancement of chamois science. Since environmental heterogeneity impacts behavioral, physiological and life history traits, understanding the underlying processes would be of great value from both an evolutionary and conservation/management standpoint, especially in the light of ongoing climatic change. Substantial contributions to this challenge may derive from a quantitative assessment of reproductive success, investigation of fine-scale foraging patterns, and a mechanistic understanding of disease outbreak and resilience. Improving conservation status, resolving taxonomic disputes, identifying subspecies hybridization, assessing the impact of hunting and establishing reliable methods of abundance estimation are of primary concern. Despite being one of the most well-known mountain ungulates, substantial field efforts to collect paleontological, behavioral, ecological, morphological, physiological and genetic data on different populations and subspecies are still needed to ensure a successful future for chamois conservation and research.",mds,True,findable,98,3,0,1,0,2022-05-26T14:27:11.000Z,2022-05-26T14:27:12.000Z,dryad.dryad,dryad,"FOS: Biological sciences,FOS: Biological sciences","[{'subject': 'FOS: Biological sciences', 'subjectScheme': 'fos'}, {'subject': 'FOS: Biological sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}]",['1890 bytes'],
+10.48537/hal-03220254,"Colored LED Lighting as a Primary Interior Spatial Condition, Human Preference and Affectual Response",Reseau International Ambiances,2020,en,Text,Creative Commons Attribution Non Commercial No Derivatives 2.0 Generic,"This research explores the human response to colored lighting with light emit- ting diodes (LEDs) in a space with the intent of understanding preference and affectual response. The research was conducted through photographic appraisal of a single interior space illuminated with monochromatic and mixed colored lighting3. Results indicate that the stimuli of monochromatic lighting (red, blue, green) confers distinct subjective impressions to a spatial setting and, for a number of subjects, prompts memories. When mixed color lighting is introduced, there are preferences for warm colors and consensus that red lighting is energizing. Future studies will replicate this study with in-situ, immersive experiences.",fabrica,True,findable,0,0,0,0,0,2021-06-16T16:39:53.000Z,2021-06-16T16:41:15.000Z,jbru.aau,jbru,"Colored Lighting,LED,Lighting,Interiors","[{'lang': 'eng', 'subject': 'Colored Lighting'}, {'lang': 'eng', 'subject': 'LED'}, {'lang': 'eng', 'subject': 'Lighting'}, {'lang': 'eng', 'subject': 'Interiors'}]",['6 pages'],['application/pdf']
+10.48537/hal-03220320,"Ambiance Is Key in Any Innovation Strategy, A Case Study on Urban Design, Sensitive Ecology and Political Ecology",Reseau International Ambiances,2020,en,Text,Creative Commons Attribution Non Commercial No Derivatives 2.0 Generic,"In the aftermath of the 2008 financial crisis, innovation became a key element to promote economic growth. Cities started playing a significant role in promoting it quickly becoming torn between authentic urban regeneration processes and gentrification. We argue that ambience, and the concept of atmosphere, is a highly-relevant strategic element able to trigger city development that avoids gentrification. We take the inner-city parishes of Marvila and Beato (Lisbon, Portugal) as a case study currently undergoing significant changes due to strong investment after decades of neglect.",mds,True,findable,0,0,0,0,0,2021-06-17T16:48:50.000Z,2021-06-17T16:48:51.000Z,jbru.aau,jbru,"Economics,Spatial Justice,Sustainable Development,Urban Regeneration","[{'lang': 'eng', 'subject': 'Economics'}, {'lang': 'eng', 'subject': 'Spatial Justice'}, {'lang': 'eng', 'subject': 'Sustainable Development'}, {'lang': 'eng', 'subject': 'Urban Regeneration'}]",['6 pages'],['application/pdf']
10.5281/zenodo.10222606,"Spectral albedo and summer ground temperature of herbaceous and shrub tundra vegetation at Bylot Island, Canadian High-Arctic",Zenodo,2023,en,Dataset,Creative Commons Attribution 4.0 International,"These data are in support of a preprint:Â
Comparing spectral albedo and NDVI of herbaceous and shrub tundra vegetation at Bylot Island, Canadian High-Arctic
Florent Domine, Maria-Belke-Brea, Ghislain Picard, Laurent Arnaud, and Esther Lévesque
@@ -2548,489 +2104,227 @@ SALIX-G2 73.168° -79.812° Extended area in an alluvial fan with S. richardsoni
SALIX-F 73.182° -79.745° Similar to SALIX-G2. Ground temperature is monitored there. No spectral data were recorded at that site. Â
Â
 ",api,True,findable,0,0,0,0,0,2023-11-29T16:34:14.000Z,2023-11-29T16:34:14.000Z,cern.zenodo,cern,,,,
-10.57745/xhq7tl,Annual glacier surface flow velocity product from Sentinel-2 data for the European Alps,Recherche Data Gouv,2023,,Dataset,,"Glacier ice flow velocity is an important variable to document the past and current status of the glacier worldwide. The aim of the ESA AlpGlacier project is to create innovative products for glaciers and their environments from remote sensing data for the European Alps mountain range. The data set proposed here includes maps of annual glacier surface flow velocities for the period 2015-2021, created from Sentinel-2 optical data with the work-flow presented in Mouginot et al., 2023. It can be used for the monitoring of glacier dynamics or for hazards detection associated to glaciers destabilization, as well as an input of models calibration and validation. These products are distributed in both netCDF and GeoTiff formats, georeferenced under the UTM-32N projection.",mds,True,findable,277,28,0,0,0,2023-03-01T09:50:30.000Z,2023-03-02T14:05:25.000Z,rdg.prod,rdg,,,,
-10.5061/dryad.bnzs7h4ds,Gait behavioral and neuromuscular characterization in response to increasing working memory load while walking under optic flow perturbations in young adults,Dryad,2022,en,Dataset,Creative Commons Zero v1.0 Universal,"The precise role of cognitive control on optic flow processing during locomotion has rarely been investigated. Therefore, this study aimed to determine whether coping with unreliable visual inputs during walking requires attentional resources. Twenty-four healthy young adults walked on an instrumented treadmill in a virtual environment under two optic flow conditions: normal (NOF) and perturbed (POF, continuous mediolateral pseudo-random oscillations). Each condition was performed under single-task and dual-task conditions of increasing difficulty (1-, 2-, 3-back). In all conditions, subjective mental workload was estimated (raw NASA-TLX). For kinematic variables, mean, standard deviation, statistical persistence and step-to-step error correction were computed from gait time series in mediolateral and anteroposterior directions. For EMG variables of soleus and gluteus medius, the full width at half maximum and the variance ratio were calculated. Performance on N-back tasks was assessed using mean reaction time and d-prime. Cognitive performance was not affected by simultaneous walking in any optic flow condition. Gait variability was altered under POF compared to NOF, so that young adults sought to counteract those perturbations by adopting an effortful gait control strategy, independently of concurrent working memory (WM) load. Increasing WM load led changes first at the neuromuscular level, then at the behavioral level, with a prioritization of gait control in the mediolateral direction. Interestingly, dual-tasking lowered the effects of POF but in the anteroposterior direction only. These findings and their theoretical implications provide valuable insight into the complex interaction effects of cognitive and visual constraints on gait control during treadmill walking.",mds,True,findable,140,5,0,1,0,2022-08-15T15:25:42.000Z,2022-08-15T15:25:42.000Z,dryad.dryad,dryad,"gait,lateral balance,muscle activity,FOS: Health sciences,FOS: Health sciences,variability,Nonlinear dynamics,executive function","[{'subject': 'gait'}, {'subject': 'lateral balance'}, {'subject': 'muscle activity'}, {'subject': 'FOS: Health sciences', 'subjectScheme': 'fos'}, {'subject': 'FOS: Health sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'variability'}, {'subject': 'Nonlinear dynamics', 'schemeUri': 'https://github.com/PLOS/plos-thesaurus', 'subjectScheme': 'PLOS Subject Area Thesaurus'}, {'subject': 'executive function'}]",['2515659 bytes'],
-10.5281/zenodo.8037856,konstantinos-p/europepolls: Europepolls first release.,Zenodo,2023,,Software,Other (Open),A dataset of country-level historical voting-intention polling data for the European Union (+Switzerland and UK).,mds,True,findable,0,0,0,1,0,2023-06-14T12:34:43.000Z,2023-06-14T12:34:43.000Z,cern.zenodo,cern,,,,
-10.5281/zenodo.3631244,"Data and figures used in ""Pressure torque of torsional Alfvén modes acting on an ellipsoidal mantle""",Zenodo,2020,,Dataset,"GNU General Public License v3.0 or later,Open Access","Data, plotting routines and analysis routines to reproduce all results from the article ""Pressure torque of torsional Alfvén modes acting on an ellipsoidal mantle"". The package uses the freely available code Mire.jl. <strong>Prerequisites</strong> Installed texlive, python/python3 with matplotlib >v2.1 for support of latest colormaps. A working Julia >v1.3. <br> <strong>Install</strong> Open the repository directory and run <pre><code class=""language-bash"">julia install_local.jl</code></pre> to install the package. <strong>Run</strong> To run the calculations and the plots you simply run <pre><code>using Elltorque Elltorque.run(true)</code></pre> <br> from within the Julia REPL (takes around 2-3h). To run without calculating the data use <pre><code>Elltorque.run(false)</code></pre>",mds,True,findable,0,0,0,0,0,2020-04-21T20:00:11.000Z,2020-04-21T20:00:12.000Z,cern.zenodo,cern,,,,
-10.57745/ruqljl,"Draix-Bleone Observatory spatial data: catchment boundaries, instrument locations and DEM",Recherche Data Gouv,2023,,Dataset,,"This dataset contains spatial information for Draix-Bleone Observatory, including catchment boundaries for the Laval, Moulin, Brusquet, Roubine, Francon, Bouinenc and Galabre catchments, instrument locations, and high-resolution topographic data (DEM) for the Laval, Moulin, Roubine, and Brusquet catchments.",mds,True,findable,15,0,0,0,0,2023-07-03T14:42:16.000Z,2023-07-17T09:46:47.000Z,rdg.prod,rdg,,,,
-10.5281/zenodo.4947841,PACE 2021 Kernelization track,Zenodo,2021,,Software,"Creative Commons Attribution 4.0 International,Open Access",These are the sources of the PaSTEC solver for the kernelization track of the PACE 2021 challenge.,mds,True,findable,0,0,0,0,0,2021-06-14T19:09:05.000Z,2021-06-14T19:09:06.000Z,cern.zenodo,cern,,,,
-10.5281/zenodo.7387170,Satellite-derived melt assimilation MAR simulations over the Antarctic Peninsula daily data,Zenodo,2022,,Dataset,"Creative Commons Attribution 4.0 International,Open Access","The Modèle Atmosphérique Régionale (MAR), is a regional climate model designed to simulate poles' climate. here is provided a data set of MAR simulations in which microwave sensor date have been assimilated. The files contain snow and athmosphere related variables over the Antarctic Peninsula for the 2019-2020 period. MAR is a polar-oriented regional climate model mostly used to study both the Greenland and Antarctic ice sheet. Its atmospheric dynamics are based on hydrostatic approximation of primitive equations originally described in Gallée and Schayes (1994) and on a radiative transfer scheme adapted from Morcrette (2002). The model has been parameterized to resolve the topmost 20 meters of the snowpack, divided into 30 layers of time varying thickness. Layers maximum water content holding capacity is fixed at 5%. Beyond it, the water freely percolates through the snowpack or runoffs above impermeable layers. For this work, MARv3.12 was run at a 7.5 km resolution over the Antarctic Peninsula March 2017 and May 2021. Snowpack was initialized in 2017 with a previous MAR simulation (Kittel et al., 2021). Finally, the simulations with assimilation were started in January 2019, restarting from the simulation without assimilation. Simulation for the 2020-2021 season are available on demand. Contact tdethinne@uliege.be",mds,True,findable,0,0,0,0,0,2022-12-02T10:30:49.000Z,2022-12-02T10:30:50.000Z,cern.zenodo,cern,,,,
-10.5281/zenodo.8269854,Heterogeneous/Homogeneous Change Detection dataset,Zenodo,2023,en,Dataset,Creative Commons Attribution 4.0 International,"""Please if you use this datasets we appreciated that you reference this repository and cite the works related that made possible the generation of this dataset.""
-This change detection datastet has different events, satellites, resolutions and includes both homogeneous/heterogeneous cases. The main idea of the dataset is to bring a benchmark on semantic change detection in remote sensing field.This dataset is the outcome of the following publications:
-
-@article{Â Â Â JimenezSierra2022graph,author={Jimenez-Sierra, David Alejandro and Quintero-Olaya, David Alfredo and Alvear-Mu{\~n}oz, Juan Carlos and Ben{\'i}tez-Restrepo, Hern{\'a}n Dar{\'i}o and Florez-Ospina, Juan Felipe and Chanussot, Jocelyn},journal={IEEE Transactions on Geoscience and Remote Sensing},title={Graph Learning Based on Signal Smoothness Representation for Homogeneous and Heterogeneous Change Detection},year={2022},volume={60},number={},pages={1-16},doi={10.1109/TGRS.2022.3168126}}Â
-@article{Â Â Â JimenezSierra2020graph,title={Graph-Based Data Fusion Applied to: Change Detection and Biomass Estimation in Rice Crops},author={Jimenez-Sierra, David Alejandro and Ben{\'i}tez-Restrepo, Hern{\'a}n Dar{\'i}o and Vargas-Cardona, Hern{\'a}n Dar{\'i}o and Chanussot, Jocelyn},journal={Remote Sensing},volume={12},number={17},pages={2683},year={2020},publisher={Multidisciplinary Digital Publishing Institute},doi={10.3390/rs12172683}}Â
-@inproceedings{jimenez2021blue,title={Blue noise sampling and Nystrom extension for graph based change detection},author={Jimenez-Sierra, David Alejandro and Ben{\'\i}tez-Restrepo, Hern{\'a}n Dar{\'\i}o and Arce, Gonzalo R and Florez-Ospina, Juan F},booktitle={2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS},ages={2895--2898},year={2021},organization={IEEE},doi={10.1109/IGARSS47720.2021.9555107}}Â
-@article{florez2023exploiting,title={Exploiting variational inequalities for generalized change detection on graphs},author={Florez-Ospina, Juan F and Jimenez Sierra, David A and Benitez-Restrepo, Hernan D and Arce, Gonzalo},journal={IEEE Transactions on Geoscience and Remote Sensing}, Â year={2023},volume={61},number={},pages={1-16},doi={10.1109/TGRS.2023.3322377}}Â
-@article{florez2023exploitingxiv,title={Exploiting variational inequalities for generalized change detection on graphs},author={Florez-Ospina, Juan F. and Jimenez-Sierra, David A. and Benitez-Restrepo, Hernan D. and Arce, Gonzalo R},year={2023},publisher={TechRxiv},doi={10.36227/techrxiv.23295866.v1}}
-In the table on the html file (dataset_table.html) are tabulated all the metadata and details related to each case within the dasetet. The cases with a link, were gathered from those sources and authors, therefore you should refer to their work as well.
-The rest of the cases or events (without a link), were obtained through the use of open sources such as:
-
-Copernicus
-European Space Agency
-Alaska Satellite Facility (Vertex)
-Earth Data
-In addition, we carried out all the processing of the images by using the SNAP toolbox from the European Space Agency. This proccessing involves the following:
-
-Data co-registration
-Cropping
-Apply Orbit (for SAR data)
-Calibration (for SAR data)
-Speckle Filter (for SAR data)
-Terrain Correction (for SAR data)
-Lastly, the ground truth was obtained from homogeneous images for pre/post events by drawing polygons to highlight the areas where a visible change was present. The images where layout and synchorized to be zoomed over the same are to have a better view of changes. This was an exhaustive work in order to be precise as possible.Feel free to improve and contribute to this dataset.",api,True,findable,0,0,0,0,1,2023-11-05T15:26:41.000Z,2023-11-05T15:26:41.000Z,cern.zenodo,cern,"Remote sensing,Change Detection,Multi-Spectral,SAR","[{'subject': 'Remote sensing'}, {'subject': 'Change Detection'}, {'subject': 'Multi-Spectral'}, {'subject': 'SAR'}]",,
-10.5281/zenodo.7603489,"Model outputs and species-level data for ""Functional traits and climate drive interspecific differences in disturbance-induced tree mortality""",Zenodo,2023,,Dataset,"Creative Commons Attribution 4.0 International,Open Access","This repository is divided in three sub-directories: <em><strong>sensitivity </strong></em>contains the posterior of each parameter estimated by the bayesian mortality model in a rdata file. This file was generated by the script https://github.com/jbarrere3/SalvageModel/tree/withFinland <em><strong>climate </strong></em>contains for each tree species the climatic variables (mean annual temperature, minimum annual temperature and annual precipitation) extracted from CHELSA and the disturbance-related climatic indices (Fire Weather Index, Snow Water Equivalent and Gust Wind Speed) <em><strong>traits </strong></em>contains the traits calculated directly with NFI data (bark thickness, height to dbh ratio, maximum growth), and a text file with the Species and Trait ID to request to TRY database. The content of this repository can be used to reproduce the analyses of the paper, with the script stored in in https://github.com/jbarrere3/DisturbancePaper <strong>Edit (19/09/2023):</strong> A minor coding error was found in the pre-formatted data of the paper, which did not affect the main results but led to minor change in the value of the posterior estimates. An updated version of the posterior estimates of this dataset was made available at https://zenodo.org/record/8358921.",mds,True,findable,0,0,0,0,0,2023-02-03T16:23:20.000Z,2023-02-03T16:23:21.000Z,cern.zenodo,cern,,,,
-10.5061/dryad.1qt12,"Data from: Extracellular DNA extraction is a fast, cheap and reliable alternative for multi-taxa surveys based on soil DNA",Dryad,2017,en,Dataset,Creative Commons Zero v1.0 Universal,"DNA metabarcoding on soil samples is increasingly used for large-scale and multi-taxa biodiversity studies. However, DNA extraction may be a major bottleneck for such wide uses. It should be cost/time effective and allow dealing with large sample volumes so as to maximise the representativeness of both micro- and macro-organisms diversity. Here, we compared the performances of a fast and cheap extracellular DNA extraction protocol with a total DNA extraction method in retrieving bacterial, eukaryotic and plant diversity from tropical soil samples of ca. 10 g. The total DNA extraction protocol yielded more high-quality DNA. Yet, the extracellular DNA protocol provided similar diversity assessments although it presented some differences in clades relative abundance and undersampling biases. We argue that extracellular DNA is a good compromise between cost, labor, and accuracy for high-throughput DNA metabarcoding studies of soil biodiversity.",mds,True,findable,339,58,1,1,0,2016-01-20T19:13:51.000Z,2016-01-20T19:13:52.000Z,dryad.dryad,dryad,"multi-taxa,DNA extraction protocol,Soil biodiversity,present,Holocene,Viridiplantae","[{'subject': 'multi-taxa'}, {'subject': 'DNA extraction protocol'}, {'subject': 'Soil biodiversity'}, {'subject': 'present'}, {'subject': 'Holocene'}, {'subject': 'Viridiplantae'}]",['18072078 bytes'],
-10.5281/zenodo.10014634,Mining tortured acronyms from the scientific literature,Zenodo,2023,en,Dataset,Creative Commons Attribution 4.0 International,,api,True,findable,0,0,0,0,0,2023-10-17T19:30:51.000Z,2023-10-17T19:30:51.000Z,cern.zenodo,cern,,,,
-10.5281/zenodo.5237575,French DBnary archive in original Lemon format,Zenodo,2021,fr,Dataset,"Creative Commons Attribution Share Alike 4.0 International,Open Access","The DBnary dataset is an extract of Wiktionary data from many language editions in RDF Format. Until July 1st 2017, the lexical data extracted from Wiktionary was modeled using the lemon vocabulary. This dataset contains the full archive of all DBnary dumps in Lemon format containing lexical information from French language edition, ranging from 27th August 2012 to 1st July 2017. After July 2017, DBnary data has been modeled using the ontolex model and will be available in another Zenodo entry.<br>",mds,True,findable,0,0,0,0,0,2021-08-24T07:05:18.000Z,2021-08-24T07:05:19.000Z,cern.zenodo,cern,"Wiktionary,Lemon,Lexical Data,RDF","[{'subject': 'Wiktionary'}, {'subject': 'Lemon'}, {'subject': 'Lexical Data'}, {'subject': 'RDF'}]",,
-10.5281/zenodo.5842110,"InSAR Displacements in the Delaware Basin, TX",Zenodo,2021,en,Dataset,"Creative Commons Attribution 4.0 International,Open Access","These data are the vertical and east-west horizontal cumulative displacements in the Delaware Basin, between 2015-03-05 through 2020-03-31. They are presented in ""Shallow Aseismic Slip in the Delaware Basin Determined by Sentinel-1 InSAR"", submitted to <em>JGR: Solid Earth</em> on September 1st, 2021. The format of both files is [longitude, latitude, X, Y, displacement (cm)]. For vertical displacements, negative values indicate subsidence and positive values indicate uplift. For horizontal displacement, negative values indicate westward displacement, and positive values indicate eastward displacement. Version 2 (_v2) were updated Dec. 28th, 2021.",mds,True,findable,0,0,0,1,0,2022-01-12T19:37:46.000Z,2022-01-12T19:37:47.000Z,cern.zenodo,cern,"InSAR,Delaware Basin,induced seismicity,aseismic slip","[{'subject': 'InSAR'}, {'subject': 'Delaware Basin'}, {'subject': 'induced seismicity'}, {'subject': 'aseismic slip'}]",,
-10.6084/m9.figshare.21717750,Neuroblast Differentiation-Associated Protein Derived Polypeptides: AHNAK(5758-5775) Induces Inflammation by Activating Mast Cells via ST2,Taylor & Francis,2022,,Text,Creative Commons Attribution 4.0 International,"Psoriasis is a chronic inflammatory skin disease. Mast cells are significantly increased and activated in psoriatic lesions and are involved in psoriatic inflammation. Some endogenous substances can interact with the surface receptors of mast cells and initiate the release of downstream cytokines that participate in inflammatory reactions. Neuroblast differentiation-associated protein (AHNAK) is mainly expressed in the skin, esophagus, kidney, and other organs and participates in various biological processes in the human body. AHNAK and its derived peptides have been reported to be involved in the activation of mast cells and other immune processes. This study aimed to investigate whether AHNAK (5758–5775), a neuroblast differentiation-associated protein-derived polypeptide, could be considered a new endogenous substance in psoriasis patients, which activates mast cells and induces the skin inflammatory response contributing to psoriasis. Wild-type mice were treated with AHNAK(5758–5775) to observe the infiltration of inflammatory cells in the skin and cytokine release in vivo. The release of inflammatory mediators by mouse primary mast cells and the laboratory of allergic disease 2 (LAD2) human mast cells was measured in vitro. Molecular docking analysis, molecular dynamics simulation, and siRNA transfection were used to identify the receptor of AHNAK(5758–5775). AHNAK(5758–5775) could cause skin inflammation and cytokine release in wild-type mice and activated mast cells in vitro. Moreover, suppression of tumorigenicity 2 (ST2) might be a key receptor mediating AHNAK(5758–5775)’s effect on mast cells and cytokine release. We propose a novel polypeptide, AHNAK(5758–5775), which induces an inflammatory reaction and participates in the occurrence and development of psoriasis by activating mast cells.",mds,True,findable,0,0,0,0,0,2022-12-13T16:00:06.000Z,2022-12-13T16:00:06.000Z,figshare.ars,otjm,"Biochemistry,Medicine,Microbiology,FOS: Biological sciences,Cell Biology,Genetics,Physiology,39999 Chemical Sciences not elsewhere classified,FOS: Chemical sciences,Immunology,FOS: Clinical medicine,69999 Biological Sciences not elsewhere classified,Developmental Biology,Cancer,111714 Mental Health,FOS: Health sciences,Computational Biology","[{'subject': 'Biochemistry'}, {'subject': 'Medicine'}, {'subject': 'Microbiology'}, {'subject': 'FOS: Biological sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Cell Biology'}, {'subject': 'Genetics'}, {'subject': 'Physiology'}, {'subject': '39999 Chemical Sciences not elsewhere classified', 'schemeUri': 'http://www.abs.gov.au/ausstats/abs@.nsf/0/6BB427AB9696C225CA2574180004463E', 'subjectScheme': 'FOR'}, {'subject': 'FOS: Chemical sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Immunology'}, {'subject': 'FOS: Clinical medicine', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': '69999 Biological Sciences not elsewhere classified', 'schemeUri': 'http://www.abs.gov.au/ausstats/abs@.nsf/0/6BB427AB9696C225CA2574180004463E', 'subjectScheme': 'FOR'}, {'subject': 'Developmental Biology'}, {'subject': 'Cancer'}, {'subject': '111714 Mental Health', 'schemeUri': 'http://www.abs.gov.au/ausstats/abs@.nsf/0/6BB427AB9696C225CA2574180004463E', 'subjectScheme': 'FOR'}, {'subject': 'FOS: Health sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Computational Biology'}]",['264022 Bytes'],
-10.5281/zenodo.8115575,napari: a multi-dimensional image viewer for Python,Zenodo,2023,,Software,"BSD 3-Clause ""New"" or ""Revised"" License,Open Access","napari 0.4.18 We're happy to announce the release of napari 0.4.18! napari is a fast, interactive, multi-dimensional image viewer for Python. It's designed for browsing, annotating, and analyzing large multi-dimensional images. It's built on top of Qt (for the GUI), vispy (for performant GPU-based rendering), and the scientific Python stack (numpy, scipy). This is primarily a bug-fix release, addressing many issues from 0.4.17 (see ""Bug Fixes"", below). However, it also contains some performance improvements and several exciting new features (see ""Highlights""), so read on below! For more information, examples, and documentation, please visit our website: https://napari.org Highlights Drawing polygons in the Shapes layer can now be done much faster with the new lasso tool (napari/napari/#5555) Surface layers now support textures and vertex colors, allowing a whole new type of dataset to be visualised in napari. Have a look at <code>surface_multi_texture.py</code> and <code>surface_texture_and_colors.py</code> in the <code>examples</code> directory for some pretty demos! (napari/napari/#5642) Previously, navigating an image required switching out of whatever drawing mode you might have been using and going back to pan/zoom mode. Now you can use the mouse wheel to zoom in and out in any mode. (napari/napari/#5701) Painting labels is now much, much faster (achieving 60fps even on an 8k x 8k image) (napari/napari/#5723 and napari/napari/#5732) Vectors layers can now be displayed with two different styles of arrowheads, instead of just plain lines. This removes a longstanding limitation of the vectors layer! (napari/napari/#5740) New Features Overlays 2.0 (napari/napari/#4894) expose custom image interpolation kernels (napari/napari/#5130) Add user agent environment variable for pip installations (napari/napari/#5135) Add option to check if plugin try to set viewer attr outside main thread (napari/napari/#5195) Set selection color for QListView item. (napari/napari/#5202) Add warning about set private attr when using proxy (napari/napari/#5209) Shapes interpolation (napari/napari/#5334) Add dask settings to preferences (napari/napari/#5490) Add lasso tool for faster drawing of polygonal Shapes (napari/napari/#5555) Feature: support for textures and vertex colors on Surface layers (napari/napari/#5642) Back point selection with a psygnal Selection (napari/napari/#5691) Zooming with the mouse wheel in any mode (napari/napari/#5701) Add cancellation functionality to progress (napari/napari/#5728) Add arrow display styles to Vectors layer (napari/napari/#5740) Improvements Set keyboard focus on console when opened (napari/napari/#5208) Push variables to console when instantiated (napari/napari/#5210) Tracks layer creation performance improvement (napari/napari/#5303) PERF: Event emissions and perf regression. (napari/napari/#5307) Much faster FormatStringEncoding (napari/napari/#5315) Add parent when creating layer context menu to inherit application theme and add style entry for disabled widgets and menus (napari/napari/#5381) Add correct <code>enablement</code> kwarg to <code>Split Stack</code> action, <code>Convert data type</code> submenu and <code>Projections</code> submenu (napari/napari/#5437) Apply disabled widgets style only for menus and set menus styles for <code>QModelMenu</code> and <code>QMenu</code> instances (napari/napari/#5446) Add disabled style rule for <code>QComboBox</code> following the one for <code>QPushButton</code> (napari/napari/#5469) Allow layers control section to resize to contents (napari/napari/#5474) Allow to use <code>Optional</code> annotation in function return type for magicgui functions (napari/napari/#5595) Skip equality comparisons in EventedModel when unnecessary (napari/napari/#5615) Bugfix: improve layout of Preferences > Shortcuts tables (napari/napari/#5679) Improve preferences genration (napari/napari/#5696) Add dev example for adding custom overlays. (napari/napari/#5719) Disable buffer swapping (napari/napari/#5741) Remove max brush size from increase brush size keybinding (napari/napari/#5761) Explicitly list valid layer names in types (napari/napari/#5823) Sort npe1 widget contributions (napari/napari/#5865) feat: add <code>since_version</code> argument of <code>rename_argument</code> decorator (napari/napari/#5910) Emit extra information with layer.events.data (napari/napari/#5967) Performance Return early when no slicing needed (napari/napari/#5239) Tracks layer creation performance improvement (napari/napari/#5303) PERF: Event emissions and perf regression. (napari/napari/#5307) Much faster FormatStringEncoding (napari/napari/#5315) Fix inefficient label mapping in direct color mode (10-20x speedup) (napari/napari/#5723) Efficient labels mapping for drawing in Labels (60 FPS even with 8000x8000 images) (napari/napari/#5732) Disable buffer swapping (napari/napari/#5741) Bug Fixes Warn instead of failing on empty or invalid alt-text (napari/napari/#4505) Fix display of order and scale combinations (napari/napari/#5004) Enforce that contrast limits must be increasing (napari/napari/#5036) Bugfix: Move Window menu to be before Help (napari/napari/#5093) Add extra garbage collection for some viewer tests (napari/napari/#5108) Connect image to plane events and expose them (napari/napari/#5131) Workaround for discover themes from plugins (napari/napari/#5150) Add missed dialogs to <code>qtbot</code> in <code>test_qt_notifications</code> to prevent segfaults (napari/napari/#5171) DOC Update docstring of <code>add_dock_widget</code> & <code>_add_viewer_dock_widget</code> (napari/napari/#5173) Fix unsortable features (napari/napari/#5186) Avoid possible divide-by-zero in Vectors layer thumbnail update (napari/napari/#5192) Disable napari-console button when launched from jupyter (napari/napari/#5213) Volume rendering updates for isosurface and attenuated MIP (napari/napari/#5215) Return early when no slicing needed (napari/napari/#5239) Check strictly increasing values when clipping contrast limits to a new range (napari/napari/#5258) UI Bugfix: Make disabled QPushButton more distinct (napari/napari/#5262) Respect background color when calculating scale bar color (napari/napari/#5270) Fix circular import in _vispy module (napari/napari/#5276) Use only data dimensions for cord in status bar (napari/napari/#5283) Prevent obsolete reports about failure of cleaning viewer instances (napari/napari/#5317) Add scikit-image[data] to install_requires, because it's required by builtins (napari/napari/#5329) Fix repeating close dialog on macOS and qt 5.12 (napari/napari/#5337) Disable napari-console if napari launched from vanilla python REPL (napari/napari/#5350) For npe2 plugin, use manifest display_name for File > Open Samples (napari/napari/#5351) Bugfix plugin display_name use (File > Open Sample, Plugin menus) (napari/napari/#5366) Fix editing shape data above 2 dimensions (napari/napari/#5383) Fix test keybinding for layer actions (napari/napari/#5406) fix theme id not being used correctly (napari/napari/#5412) Clarify layer's editable property and separate interaction with visible property (napari/napari/#5413) Fix theme reference to get image for <code>success_label</code> style (napari/napari/#5447) Bugfix: Ensure layer._fixed_vertex is set when rotating (napari/napari/#5449) Fix <code>_n_selected_points</code> in _layerlist_context.py (napari/napari/#5450) Refactor Main Window status bar to improve information presentation (napari/napari/#5451) Bugfix: Fix test_get_system_theme test for <code>name</code> to <code>id</code> change (napari/napari/#5456) Bugfix: POLL_INTERVAL_MS used in QTimer needs to be an int on python 3.10 (napari/napari/#5467) Bugfix: Add missing Enums and Flags required by PySide6 > 6.4 (napari/napari/#5480) BugFix: napari does not start with Python v3.11.1: ""ValueError: A distribution name is required."" (napari/napari/#5482) Fix inverted LUT and blending (napari/napari/#5487) Fix opening file dialogs in PySide (napari/napari/#5492) Handle case when QtDims play thread is partially deleted (napari/napari/#5499) Ensure surface normals and wireframes are using Models internally (napari/napari/#5501) Recursively check for dependent property to fire events. (napari/napari/#5528) Set PYTHONEXECUTABLE as part of macos fixes on (re)startup (napari/napari/#5531) Un-set unified title and tool bar on mac (Qt property) (napari/napari/#5533) Fix key error issue of action manager (napari/napari/#5539) Bugfix: ensure Checkbox state comparisons are correct by using Qt.CheckState(state) (napari/napari/#5541) Clean dangling widget in test (napari/napari/#5544) Fix <code>test_worker_with_progress</code> by wait on worker end (napari/napari/#5548) Fix min req (napari/napari/#5560) Fix vispy axes labels (napari/napari/#5565) Fix colormap utils error suggestion code and add a test (napari/napari/#5571) Fix problem of missing plugin widgets after minimize napari (napari/napari/#5577) Make point size isotropic (napari/napari/#5582) Fix guard of qt import in <code>napari.utils.theme</code> (napari/napari/#5593) Fix empty shapes layer duplication and <code>Convert to Labels</code> enablement logic for selected empty shapes layers (napari/napari/#5594) Stop using removed multichannel= kwarg to skimage functions (napari/napari/#5596) Add information about <code>syntax_style</code> value in error message for theme validation (napari/napari/#5602) Remove catch_warnings in slicing (napari/napari/#5603) Incorret theme should not prevent napari from start (napari/napari/#5605) Unblock axis labels event to be emitted when slider label changes (napari/napari/#5631) Bugfix: IndexError slicing Surface with higher-dimensional vertex_values (napari/napari/#5635) Bugfix: Convert Viewer Delete button to QtViewerPushButton with action and shortcut (napari/napari/#5636) Change dim <code>axis_label</code> resize logic to set width using only displayed labels width (napari/napari/#5640) Feature: support for textures and vertex colors on Surface layers (napari/napari/#5642) Fix features issues with init param and property setter (napari/napari/#5646) Bugfix: Don't double toggle visibility for linked layers (napari/napari/#5656) Bugfix: ensure pan/zoom buttons work, along with spacebar keybinding (napari/napari/#5669) Bugfix: Add Tracks to qt_keyboard_settings (napari/napari/#5678) Fix automatic naming and GUI exposure of multiple unnamed colormaps (napari/napari/#5682) Fix mouse movement handling for <code>TransformBoxOverlay</code> (napari/napari/#5692) Update environment.yml (napari/napari/#5693) Resolve symlinks from path to environment for setting path (napari/napari/#5704) Fix tracks color-by when properties change (napari/napari/#5708) Fix Sphinx warnings (napari/napari/#5717) Do not use depth for canvas overlays; allow setting blending mode for overlays (napari/napari/#5720) Unify event behaviour for points and its qt controls (napari/napari/#5722) Fix camera 3D absolute rotation bug (napari/napari/#5726) Maint: Bump mypy (napari/napari/#5727) Style <code>QGroupBox</code> indicator (napari/napari/#5729) Fix centering of non-displayed dimensions (napari/napari/#5736) Don't attempt to use npe1 readers in napari.plugins._npe2.read (napari/napari/#5739) Prevent canvas micro-panning on point add (",mds,True,findable,0,0,0,0,0,2023-07-05T05:01:21.000Z,2023-07-05T05:01:22.000Z,cern.zenodo,cern,,,,
-10.5281/zenodo.4288857,din14970/TVIPSconverter: tvipsconverter v0.1.3,Zenodo,2020,,Software,Open Access,"GUI converter for 4D-STEM or PED data from TVIPS cameras into .blo files, tiffs, or .hspy files.",mds,True,findable,0,0,0,0,0,2020-11-24T14:48:06.000Z,2020-11-24T14:48:07.000Z,cern.zenodo,cern,,,,
-10.5061/dryad.rb0qk13,Data from: Cold adaptation in the Asian tiger mosquito’s native range precedes its invasion success in temperate regions,Dryad,2019,en,Dataset,Creative Commons Zero v1.0 Universal,"Adaptation to environmental conditions within the native range of exotic species can condition the invasion success of these species outside their range. The striking success of the Asian tiger mosquito, Aedes albopictus, to invade temperate regions has been attributed to the winter survival of diapause eggs in cold environments. In this study, we evaluate genetic polymorphisms (SNPs) and wing morphometric variation among three biogeographical regions of the native range of A. albopictus. Reconstructed demographic histories of populations show an initial expansion in Southeast Asia and suggest that marine regression during late Pleistocene and climate warming after the last glacial period favored expansion of populations in southern and northern regions respectively. Searching for genomic signatures of selection, we identified significantly differentiated SNPs among which several are located in or within 20kb distance from candidate genes for cold adaptation. These genes involve cellular and metabolic processes and several of them have been shown to be differentially expressed under diapausing conditions. The three biogeographical regions also differ for wing size and shape, and wing size increases with latitude supporting Bergmann’s rule. Adaptive genetic and morphometric variation observed along the climatic gradient of A. albopictus native range suggests that colonization of northern latitudes promoted adaptation to cold environments prior to its worldwide invasion.",mds,True,findable,255,14,2,2,0,2019-06-17T17:42:21.000Z,2019-06-17T17:42:21.000Z,dryad.dryad,dryad,"Aedes albopictus,cold adaptation","[{'subject': 'Aedes albopictus'}, {'subject': 'cold adaptation'}]",['9913223 bytes'],
-10.5281/zenodo.7689499,Code and Data Presented in JFSMA 2023,Zenodo,2023,,Software,Closed Access,Code of the simulation<br> Graphs and raw data obtained through simulations Models used for model checking,mds,True,findable,0,0,0,0,0,2023-03-01T18:01:45.000Z,2023-03-01T18:01:45.000Z,cern.zenodo,cern,,,,
-10.5281/zenodo.7056781,Companion data of Exploiting system level heterogeneity to improve the performance of a GeoStatistics multi-phase task-based application,Zenodo,2021,en,Dataset,"Creative Commons Attribution 4.0 International,Open Access","This is the companion data repository for the paper entitled <strong>Exploiting system level heterogeneity to improve the performance of a GeoStatistics multi-phase task-based application</strong> by Lucas Leandro Nesi, Lucas Mello Schnorr, and Arnaud Legrand. The manuscript has been accepted for publication in the ICPP 2021.",mds,True,findable,0,0,0,0,0,2022-09-07T11:24:38.000Z,2022-09-07T11:24:39.000Z,cern.zenodo,cern,,,,
-10.5061/dryad.612jm643q,Photosynthesis from stolen chloroplasts can support sea slug reproductive fitness,Dryad,2021,en,Dataset,Creative Commons Zero v1.0 Universal,"Some sea slugs are able to steal functional chloroplasts (kleptoplasts) from their algal food sources, but the role and relevance of photosynthesis to the animal host remain controversial. While some researchers claim that kleptoplasts are slowly digestible ‘snacks’, others advocate that they enhance the overall fitness of sea slugs much more profoundly. Our analysis show light-dependent incorporation of 13C and 15N in the albumen gland and gonadal follicles of the sea slug Elysia timida, representing translocation of photosynthates to kleptoplast-free reproductive organs. Long-chain polyunsaturated fatty acids with reported roles in reproduction were produced in the sea slug cells using labelled precursors translocated from the kleptoplasts. Finally, we report reduced fecundity of E. timida by limiting kleptoplast photosynthesis. The present study indicates that photosynthesis enhances the reproductive fitness of kleptoplast-bearing sea slugs, confirming the biological relevance of this remarkable association between a metazoan and an algal-derived organelle.",mds,True,findable,168,17,0,1,0,2021-10-08T00:26:52.000Z,2021-10-08T00:26:54.000Z,dryad.dryad,dryad,"kleptoplast,Fatty acid","[{'subject': 'kleptoplast'}, {'subject': 'Fatty acid'}]",['48249 bytes'],
-10.5281/zenodo.8362750,"Raw Data for Ultrashort Electron Wave Packets via Frequency-Comb Synthesis. Aluffi et al, 2023",Zenodo,2023,,Dataset,"Creative Commons Attribution 4.0 International,Open Access","This compressed files contains all the raw data and the python analysis scripts used to generate the figures in the paper Ultrashort Electron Wave Packets via Frequency-Comb Synthesis, Aluffi et al, 2023. 10.1103/PhysRevApplied.20.034005 Preprint available at https://doi.org/10.48550/arXiv.2212.12311",mds,True,findable,0,0,0,0,0,2023-09-20T17:09:28.000Z,2023-09-20T17:09:29.000Z,cern.zenodo,cern,,,,
-10.5281/zenodo.8420459,Datasets for 2D Vertical Convection: Base States and Leading Linear Modes using Snek5000-cbox,Zenodo,2023,,Dataset,"Creative Commons Attribution 4.0 International,Open Access","This repository contains two types of datasets related to 2D vertical convection analysis, generated using the snek5000-cbox simulation framework. The first dataset includes base states computed with the Selective Frequency Damping (SFD) method, considering various aspect ratios and Prandtl numbers. The second dataset provides the decomposed amplitude, phase, frequency, and omega of the leading linear mode, accompanied by the corresponding base states for different aspect ratios and Prandtl numbers. All datasets are stored in the .h5 file format for easy access and analysis. The scripts used to produce the datasets are provided in the repository https://github.com/snek5000/snek5000-cbox/tree/main/doc/scripts/2022sidewall_conv_instabilities.",mds,True,findable,0,0,0,0,0,2023-10-09T09:09:02.000Z,2023-10-09T09:09:02.000Z,cern.zenodo,cern,"Vertical convection,Linear stability,Snek5000-cbox","[{'subject': 'Vertical convection'}, {'subject': 'Linear stability'}, {'subject': 'Snek5000-cbox'}]",,
-10.6084/m9.figshare.c.6272373,Digitally-supported patient-centered asynchronous outpatient follow-up in rheumatoid arthritis - an explorative qualitative study,figshare,2022,,Collection,Creative Commons Attribution 4.0 International,"Abstract Objective A steadily increasing demand and decreasing number of rheumatologists push current rheumatology care to its limits. Long travel times and poor accessibility of rheumatologists present particular challenges for patients. Need-adapted, digitally supported, patient-centered and flexible models of care could contribute to maintaining high-quality patient care. This qualitative study was embedded in a randomized controlled trial (TELERA) investigating a new model of care consisting of the use of a medical app for ePRO (electronic patient-reported outcomes), a self-administered CRP (C-reactive protein) test, and joint self-examination in rheumatoid arthritis (RA) patients. The qualitative study aimed to explore experiences of RA patients and rheumatology staff regarding (1) current care and (2) the new care model. Methods The study included qualitative interviews with RA patients (n = 15), a focus group with patient representatives (n = 1), rheumatology nurses (n = 2), ambulatory rheumatologists (n = 2) and hospital-based rheumatologists (n = 3). Data was analyzed by qualitative content analysis. Results Participants described current follow-up care as burdensome. Patients in remission have to travel long distances. Despite pre-scheduled visits physicians lack questionnaire results and laboratory results to make informed shared decisions during face-to-face visits. Patients reported that using all study components (medical app for ePRO, self-performed CRP test and joint self-examination) was easy and helped them to better assess their disease condition. Parts of the validated questionnaire used in the trial (routine assessment of patient index data 3; RAPID3) seemed outdated or not clear enough for many patients. Patients wanted to be automatically contacted in case of abnormalities or at least have an app feature to request a call-back or chat. Financial and psychological barriers were identified among rheumatologists preventing them to stop automatically scheduling new appointments for patients in remission. Rheumatology nurses pointed to the potential lack of personal contact, which may limit the holistic care of RA-patients. Conclusion The new care model enables more patient autonomy, allowing patients more control and flexibility at the same time. All components were well accepted and easy to carry out for patients. To ensure success, the model needs to be more responsive and allow seamless integration of education material. Trial registration The study was prospectively registered on 2021/04/09 at the German Registry for Clinical Trials (DRKS00024928).",mds,True,findable,0,0,0,0,0,2022-10-29T03:17:05.000Z,2022-10-29T03:17:05.000Z,figshare.ars,otjm,"Medicine,Immunology,FOS: Clinical medicine,69999 Biological Sciences not elsewhere classified,FOS: Biological sciences,Science Policy,111714 Mental Health,FOS: Health sciences","[{'subject': 'Medicine'}, {'subject': 'Immunology'}, {'subject': 'FOS: Clinical medicine', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': '69999 Biological Sciences not elsewhere classified', 'schemeUri': 'http://www.abs.gov.au/ausstats/abs@.nsf/0/6BB427AB9696C225CA2574180004463E', 'subjectScheme': 'FOR'}, {'subject': 'FOS: Biological sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Science Policy'}, {'subject': '111714 Mental Health', 'schemeUri': 'http://www.abs.gov.au/ausstats/abs@.nsf/0/6BB427AB9696C225CA2574180004463E', 'subjectScheme': 'FOR'}, {'subject': 'FOS: Health sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}]",,
-10.5281/zenodo.4753275,Figs. 6-7 in A New Perlodes Species And Its Subspecies From The Balkan Peninsula (Plecoptera: Perlodidae),Zenodo,2012,,Image,"Creative Commons Attribution 4.0 International,Open Access","Figs. 6-7. Perlodes floridus floridus sp. n. larva. 6. Head and pronotum, dorsal view. 7. End of abdomen, ventral view.",mds,True,findable,0,0,2,0,0,2021-05-12T18:32:05.000Z,2021-05-12T18:32:06.000Z,cern.zenodo,cern,"Biodiversity,Taxonomy,Animalia,Arthropoda,Insecta,Plecoptera,Perlodidae,Perlodes","[{'subject': 'Biodiversity'}, {'subject': 'Taxonomy'}, {'subject': 'Animalia'}, {'subject': 'Arthropoda'}, {'subject': 'Insecta'}, {'subject': 'Plecoptera'}, {'subject': 'Perlodidae'}, {'subject': 'Perlodes'}]",,
-10.25647/liepp.wp.38bis,"Better residential than ethnic discrimination! ( LIEPP Working Paper, n°38 bis)",Sciences Po - LIEPP,2015,en,Other,,"Access to housing is difficult for minorities in France. An audit study we run in the Paris area showed that minority applicants do not face a strong disadvantage in the first step of the application; however, the fact that applicants come from a deprived area leads to more frequent unfavorable outcome (we call this residential discrimination as opposed to ethnic discrimination). The puzzle and paradox come from the fact that face-to-face interviews with real-estate agents in the city of Paris and the Parisian region DO NOT confirm this result. If anything, all discrimi-nation arise from ethnicity and agents dis-miss residential discrimination. Our paper, forthcoming in Urban Studies, documents this contrast between quantitative and qualitative methods and proposes interpretations.",fabricaForm,True,findable,0,0,0,0,0,2022-04-07T13:11:39.000Z,2022-04-07T13:11:40.000Z,vqpf.dris,vqpf,FOS: Social sciences,"[{'subject': 'FOS: Social sciences', 'valueUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'schemeUri': 'http://www.oecd.org/science/inno', 'subjectScheme': 'Fields of Science and Technology (FOS)'}]",,
-10.5281/zenodo.4603782,Atomic coordinates of the structures of iCOMs adsorbed at the surface of a crystalline ice model,Zenodo,2021,en,Dataset,"Creative Commons Attribution 4.0 International,Open Access","This dataset contains the atomic coordinates in the MOLDRAW format (.mol files) of the B3LYP-D3/A-VTZ* optimized structures of iCOMs adsorbed at the surface of a periodic model of proton-ordered crystalline water icy grain using the CRYSTAL17 computer code. Each file can be easily converted in input for the variety of quantum mechanical programs, like VASP, QE, etc.",mds,True,findable,0,0,0,0,0,2021-03-14T18:13:58.000Z,2021-03-14T18:13:59.000Z,cern.zenodo,cern,"Crystalline ice,B3LYP-D3,Adsorption,Modeling","[{'subject': 'Crystalline ice'}, {'subject': 'B3LYP-D3'}, {'subject': 'Adsorption'}, {'subject': 'Modeling'}]",,
-10.5281/zenodo.1068339,Data Sets For The Simulated Ampi (Sampi) Load Balancing Simulation Workflow And Ondes3D Performance Analysis (Companion To Ccpe - Euro-Par 2017 Special Issue),Zenodo,2017,en,Dataset,"Creative Commons Attribution Share-Alike 4.0,Open Access","This package contains data sets and scripts (in an Org-mode file) related to our submission to the special Euro-Par 2017 issue of the journal ""Concurrency and Computation: Practice and Experience"", under the title ""Performance Modeling of a Geophysics Application to Accelerate Over-decomposition Parameter Tuning through Simulation"".",,True,findable,0,0,0,0,0,2017-11-29T18:49:05.000Z,2017-11-29T18:49:06.000Z,cern.zenodo,cern,"Simulation,Load Balancing,Performance Analysis,Over-decomposition,Finite-Differences Method,Simgrid,MPI,Ondes3d,Iterative parallel application","[{'subject': 'Simulation'}, {'subject': 'Load Balancing'}, {'subject': 'Performance Analysis'}, {'subject': 'Over-decomposition'}, {'subject': 'Finite-Differences Method'}, {'subject': 'Simgrid'}, {'subject': 'MPI'}, {'subject': 'Ondes3d'}, {'subject': 'Iterative parallel application'}]",,
-10.5281/zenodo.8269409,Data Artifact: Rebasing Microarchitectural Research with Industry Traces,Zenodo,2023,,Dataset,Creative Commons Attribution 4.0 International,"Data Artifact of the paper ""Rebasing Microarchitectural Research with Industry Traces"", published at the 2023 IEEE International Symposium on Workload Characterization. It includes the original CVP-1 traces used in the paper.
-Note: the improved converted traces used in the paper are available at https://doi.org/10.5281/zenodo.10199624.
-Abstract:Â Microarchitecture research relies on performance models with various degrees of accuracy and speed. In the past few years, one such model, ChampSim, has started to gain significant traction by coupling ease of use with a reasonable level of detail and simulation speed. At the same time, datacenter class workloads, which are not trivial to set up and benchmark, have become easier to study via the release of hundreds of industry traces following the first Championship Value Prediction (CVP-1) in 2018. A tool was quickly created to port the CVP-1 traces to the ChampSim format, which, as a result, have been used in many recent works. We revisit this conversion tool and find that several key aspects of the CVP-1 traces are not preserved by the conversion. We therefore propose an improved converter that addresses most conversion issues as well as patches known limitations of the CVP-1 traces themselves. We evaluate the impact of our changes on two commits of ChampSim, with one used for the first Instruction Championship Prefetching (IPC-1) in 2020. We find that the performance variation stemming from higher accuracy conversion is significant.",mds,True,findable,0,0,0,0,0,2023-08-23T07:41:12.000Z,2023-08-23T07:41:12.000Z,cern.zenodo,cern,"ChampSim,CVP-1 traces","[{'subject': 'ChampSim'}, {'subject': 'CVP-1 traces'}]",,
-10.5281/zenodo.7438422,X-ray radiography 4D particle tracking of heavy spheres suspended in a turbulent jet,Zenodo,2022,,Dataset,"Creative Commons Attribution 4.0 International,Open Access","This database report 3d trajectories of heavy spheres suspended in a turbulent upward jet. A cylindrical tank is filled with water and the jet nozzle is placed on its axis on the bottom wall, and a constant flowrate (Q) of water is fed through the nozzle. Conditions at 1700 and 2200 mL/min are considered, and the number of spheres is varied between 1 and 12 (Nsphere). The spheres are glass and are detected using X-ray radiography at 60Hz. The 4d kinematics are obtained with this setup using radioSphere (E. Ando et<br> al., Measurement Science and Technology, 32(9), 095405, 2021). Each condition has a series of files named based on the number of spheres in the tank Nsphere and the flowrate Q, with each sphere of index isphere having its own file. Each file is 3 columns of doubles representing the 3d coordinates x, y, and z of the sphere, in mm, where z is the axis of the cylinder and the points up, against gravity. Results from this database are published here: https://doi.org/10.1016/j.ijmultiphaseflow.2023.104406<br> O. Stamati, B. Marks, E. Ando, S. Roux, N. Machicoane, X-ray radiography 4D particle tracking of heavy spheres suspended in a turbulent jet, <em>International Journal of Multiphase Flow</em> 162, 104406, 2023.",mds,True,findable,0,0,0,0,0,2022-12-14T16:48:44.000Z,2022-12-14T16:48:45.000Z,cern.zenodo,cern,"particle-laden flow, turbulence, jet, X-ray radiography, 4d kinematics","[{'subject': 'particle-laden flow, turbulence, jet, X-ray radiography, 4d kinematics'}]",,
-10.5281/zenodo.7457613,"Video related to the study ""Spatial variability of Saharan dust deposition revealed through a citizen science campaign""",Zenodo,2022,,Audiovisual,"Creative Commons Attribution 4.0 International,Open Access","This video is related to the manuscript ""Spatial variability of Saharan dust deposition revealed through a citizen science campaign"", by Dumont et al., submitted in December 2022 to the journal ""Earth System Science Data"". It illustrates the timeline of dust deposition, simulated by the atmospheric transport model MOCAGE.",mds,True,findable,0,0,0,0,0,2022-12-19T12:34:01.000Z,2022-12-19T12:34:01.000Z,cern.zenodo,cern,,,,
-10.57745/cm2woi,"Bichromatic melt pool thermal measurement based on a Red, Green, and Blue camera: application to additive manufacturing processes",Recherche Data Gouv,2023,,Dataset,,"The data presented here are related to the research article : ""Bichromatic melt pool thermal measurement based on a Red, Green, and Blue camera: application to additive manufacturing processes"". https://doi.org/10.1016/j.optlastec.2023.109799 Date : Feburary 2023 e-mail : loic.jegou@insa-lyon.fr The measure of temperature fields during additive manufacturing processes usually requires bulky expansive equipement such as infrared cameras. A compact full field thermal sensor was developped in order to accurately measure the temperature and the morpholgy of the melt pool during these processes. It is based on a dual-wavelength radiometrioc model and designed to measure temperatures ranging from 1000K to 2500K. The system is calibrated on a blackbody and a tungsten ribbon lamp. This method is validated with two distinct experiments: -Induction heating of a 316L stainless steel tube in a controlled environnement. The temperature is measured with type K thermocouples and compared to the one measured with the camera. In a first experiment, the tube is placed in an open environnement (with oxygen). In a second experiment, the tube is place in an environnement filled with argon that delays its oxidation. -Fusion of a vanadium rod (with a purity of 99.8%) with a laser impulsion of 350 W for 2 seconds. The fusion temperature of pure vanadium is 2183K, and the camera was used to assess the position of the solidifcation front during the experiment. The camera is then used on two different additive manufacturing processes to identify thermal gradients and highlight the melt pool contours. -Laser metal deposition with powder (LMDP). It consists in melting a small section of a substrate with a highly focused energy source, and continuously delivering feedstock material in this melt pool in the form of powder, layer by layer. The camera captures uspide views of the melt pool. -Wire arc additive manufacturing (WAAM). It is based on Gas Metal Arc Welding processes and consists of melting a metal wire onto the substrate with an electric arc as the heat source. The camera captures side views of the melt pool. Please use appropriate citations and referencing while using this dataset by any means. Contributing authors: Loïc Jegou, Joel Lachambre, Nicolas Tardif, Mady Guillemot, Anthony Dellarre, Abderrahime Zaoui, Thomas Elguedj, Valerie Kaftandjian and Nicolas Beraud. Any further information could be asked by making a legitimate request to: Loïc Jegou (loic.jegou@insa-lyon.fr) and Nicolas Tardif (nicolas.tardif@insa-lyon.fr) The folder contains 4 subfolders for every experiments described in the article. Each subfolder contains one folder (image) with the raw images in the format tiff, and a csv file (images_informations.csv) with every informations about the pictures (identification, exposure time, gain, timestamp). - Subfolder 1: Induction_heating, induction heating of a 316L stainless steel tube, - Subfolder 2: Fusion_vanadium, fusion of a Vanadium rod, - Subfolder 3: LMDP, laser metal deposition (with powder), - Subfolder 4: WAAM, wire arc additive manufcaturing. Please refer to the paper for any further scientific details.",mds,True,findable,35,2,0,0,0,2023-02-24T08:50:05.000Z,2023-07-19T10:14:35.000Z,rdg.prod,rdg,,,,
-10.5281/zenodo.6390598,PB2007 French acoustic-articulatory speech database,Zenodo,2022,fr,Dataset,"Creative Commons Attribution 4.0 International,Open Access","<strong>PB2007 acoustic-articulatory speech dataset</strong> Badin, P.,Bailly G., Ben Youssef A., Elisei F., Savariaux C., Hueber T. <br> Univ. Grenoble Alpes, CNRS, Grenoble INP, GIPSA-lab, 38000 Grenoble, France<br> <br> LICENSE:<br> ========<br> This dataset is made available under the Creative Commons Attribution Share-Alike (CC-BY-SA) license <br> CREDITS - ATTRIBUTION:<br> ======================<br> If using this dataset, please cite one of the following studies (all of them exploit this dataset) <br> - Ben Youssef, A., Badin, P., Bailly, G. & Heracleous, P. (2009). Acoustic-to-articulatory inversion using speech recognition and trajectory formation based on phoneme hidden Markov models. In Interspeech 2009, vol., pp. 2255-2258. Brighton, UK.<br> - Ben Youssef, A., Badin, P. & Bailly, G. (2010). Can tongue be recovered from face? The answer of data-driven statistical models. In Interspeech 2010 (11th Annual Conference of the International Speech Communication Association) (T. Kobayashi, K. Hirose & S. Nakamura, editors), vol., pp. 2002-2005. Makuhari, Japan.<br> - Hueber T., Bailly G., Badin P., Elisei F., ""Speaker Adaptation of an Acoustic-Articulatory Inversion Model<br> using Cascaded Gaussian Mixture Regressions"", Proceedings of Interspeech, Lyon, France, 2013, pp. 2753-2757. DATA FILES DESCRIPTION:<br> =======================<br> /_seq/: <br> Electro-magnetic Articulography data, recorded at 100Hz<br> Sensors :<br> PAR01 : LT_x (lower incisor, x coordinate)<br> PAR02 : tip_x (tongue tip, x coordinate)<br> PAR03 : mid_x (tongue dorsum, x coordinate)<br> PAR04 : bck_x (tongue back, x coordinate)<br> PAR05 : LL_vis_x (lower lips, x coordinate)<br> PAR06 : UL_vis_x (upper lips, x coordinate)<br> PAR07 : LT_z (lower incisor, z coordinate)<br> PAR08 : tip_z (tongue tip, z coordinate)<br> PAR09 : mid_z (tongue dorsum, z coordinate)<br> PAR10 : bck_z (tongue back, z coordinate)<br> PAR11 : LL_vis_z (lower lips, z coordinate)<br> PAR12 : UL_vis_z (upper lips, z coordinate) /_wav16: <br> subject audio signal, synchronized with the EMA data<br> Format: PCA wav, 16kHz, 16bits /_lab: phonetic segmentation using the following set<br> __ (long pause), _ (short pause), a, e^ (as in ""lait""), e (as in ""blé""), i, y (as in ""voiture""), u (as in ""loup""), o^ (as in ""pomme""),x (as in ""pneu""), x^ (as in ""coeur""), a~ (as in ""flan""), e~ (as in ""in""), x~ (as in ""un""), o~ (as in ""mon""), p, t, k, f, s, s^ (as in ""CHat""), b, d, g, v, z, z^ (as in ""les Gens""), m, n, r, l, w, h, j, o, q (schwa)<br>",mds,True,findable,0,0,0,0,0,2022-03-28T14:22:53.000Z,2022-03-28T14:22:54.000Z,cern.zenodo,cern,"speech, articulatory, EMA","[{'subject': 'speech, articulatory, EMA'}]",,
-10.5281/zenodo.4761353,"Figs. 85-87. Dictyogenus fontium species complex, larva. 85 in Two New Species Of Dictyogenus Klapálek, 1904 (Plecoptera: Perlodidae) From The Jura Mountains Of France And Switzerland, And From The French Vercors And Chartreuse Massifs",Zenodo,2019,,Image,"Creative Commons Attribution 4.0 International,Open Access","Figs. 85-87. Dictyogenus fontium species complex, larva. 85. Pronotum, lateral view. Inner-alpine upper Isère Valley. Col de l'Iseran, Savoie dpt, France. Photo Alexandre Ruffoni. 86. Pronotum, lateral view. Inneralpine upper Swiss Rhône valley, Anniviers Valley, canton of Valais, Switzerland. Photo J.-P.G. Reding. 87. Hind leg, lateral view. Inner-alpine upper Swiss Rhône valley, Anniviers Valley, canton of Valais, Switzerland. Photo J.-P.G. Reding.",mds,True,findable,0,0,6,0,0,2021-05-14T07:52:15.000Z,2021-05-14T07:52:16.000Z,cern.zenodo,cern,"Biodiversity,Taxonomy,Animalia,Arthropoda,Insecta,Plecoptera,Perlodidae,Dictyogenus","[{'subject': 'Biodiversity'}, {'subject': 'Taxonomy'}, {'subject': 'Animalia'}, {'subject': 'Arthropoda'}, {'subject': 'Insecta'}, {'subject': 'Plecoptera'}, {'subject': 'Perlodidae'}, {'subject': 'Dictyogenus'}]",,
-10.34847/nkl.bafagy29,"Figure 8 : Extrait vidéo ""Prendre la pose pour la caméra""",NAKALA - https://nakala.fr (Huma-Num - CNRS),2023,,Audiovisual,,"Figure 8 : Extrait vidéo ""Prendre la pose pour la caméra""
-
-Dans le chapitre : Participer au quotidien d’enfants d’âge préscolaire. Saisir l’expérience sensible de la ville par un dispositif d’immersion filmique",api,True,findable,0,0,0,0,0,2023-10-13T12:52:25.000Z,2023-10-13T12:52:26.000Z,inist.humanum,jbru,"enfant,méthode","[{'subject': 'enfant'}, {'subject': 'méthode'}]",['38408502 Bytes'],['video/quicktime']
-10.5061/dryad.k31d4,"Data from: Replication levels, false presences, and the estimation of presence / absence from eDNA metabarcoding data",Dryad,2014,en,Dataset,Creative Commons Zero v1.0 Universal,"Environmental DNA (eDNA) metabarcoding is increasingly used to study the present and past biodiversity. eDNA analyses often rely on amplification of very small quantities or degraded DNA. To avoid missing detection of taxa that are actually present (false negatives), multiple extractions and amplifications of the same samples are often performed. However, the level of replication needed for reliable estimates of the presence/absence patterns remains an unaddressed topic. Furthermore, degraded DNA and PCR/sequencing errors might produce false positives. We used simulations and empirical data to evaluate the level of replication required for accurate detection of targeted taxa in different contexts and to assess the performance of methods used to reduce the risk of false detections. Furthermore, we evaluated whether statistical approaches developed to estimate occupancy in the presence of observational errors can successfully estimate true prevalence, detection probability and false-positive rates. Replications reduced the rate of false negatives; the optimal level of replication was strongly dependent on the detection probability of taxa. Occupancy models successfully estimated true prevalence, detection probability and false-positive rates, but their performance increased with the number of replicates. At least eight PCR replicates should be performed if detection probability is not high, such as in ancient DNA studies. Multiple DNA extractions from the same sample yielded consistent results; in some cases, collecting multiple samples from the same locality allowed detecting more species. The optimal level of replication for accurate species detection strongly varies among studies and could be explicitly estimated to improve the reliability of results.",mds,True,findable,256,33,1,1,0,2014-10-23T19:31:38.000Z,2014-10-23T19:31:40.000Z,dryad.dryad,dryad,"Octolasion cyaneum,Aporrectodea icterica,2011,Occupancy Modelling,Aporrectodea rosea,Aporrectodea longa,Lumbricidae,Lumbricus castaneus,replication levels,Environmental sequences,Lumbricus rubellus,Aporrectodea caliginosa,Dendrodrilus rubidus,species occurrence,Lumbricus terrestris","[{'subject': 'Octolasion cyaneum'}, {'subject': 'Aporrectodea icterica'}, {'subject': '2011'}, {'subject': 'Occupancy Modelling'}, {'subject': 'Aporrectodea rosea'}, {'subject': 'Aporrectodea longa'}, {'subject': 'Lumbricidae'}, {'subject': 'Lumbricus castaneus'}, {'subject': 'replication levels'}, {'subject': 'Environmental sequences'}, {'subject': 'Lumbricus rubellus'}, {'subject': 'Aporrectodea caliginosa'}, {'subject': 'Dendrodrilus rubidus'}, {'subject': 'species occurrence'}, {'subject': 'Lumbricus terrestris'}]",['13212 bytes'],
-10.6084/m9.figshare.23575381.v1,Additional file 8 of Decoupling of arsenic and iron release from ferrihydrite suspension under reducing conditions: a biogeochemical model,figshare,2023,,Text,Creative Commons Attribution 4.0 International,Authors’ original file for figure 7,mds,True,findable,0,0,0,0,0,2023-06-25T03:11:57.000Z,2023-06-25T03:11:58.000Z,figshare.ars,otjm,"59999 Environmental Sciences not elsewhere classified,FOS: Earth and related environmental sciences,39999 Chemical Sciences not elsewhere classified,FOS: Chemical sciences,Ecology,FOS: Biological sciences,69999 Biological Sciences not elsewhere classified,Cancer","[{'subject': '59999 Environmental Sciences not elsewhere classified', 'schemeUri': 'http://www.abs.gov.au/ausstats/abs@.nsf/0/6BB427AB9696C225CA2574180004463E', 'subjectScheme': 'FOR'}, {'subject': 'FOS: Earth and related environmental sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': '39999 Chemical Sciences not elsewhere classified', 'schemeUri': 'http://www.abs.gov.au/ausstats/abs@.nsf/0/6BB427AB9696C225CA2574180004463E', 'subjectScheme': 'FOR'}, {'subject': 'FOS: Chemical sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Ecology'}, {'subject': 'FOS: Biological sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': '69999 Biological Sciences not elsewhere classified', 'schemeUri': 'http://www.abs.gov.au/ausstats/abs@.nsf/0/6BB427AB9696C225CA2574180004463E', 'subjectScheme': 'FOR'}, {'subject': 'Cancer'}]",['24064 Bytes'],
-10.5281/zenodo.6798922,Binding Energies of Interstellar Relevant S-bearing Species on Water Ice Mantles: A Quantum Mechanical Investigation,Zenodo,2022,,Dataset,"Creative Commons Attribution 4.0 International,Open Access","This Supporting Material contains: Fractional coordinates of DFT optimized adsorption complexes for crystalline periodic ice models in .mol format, editable with MOLDRAW, using CRYSTAL17 computer code; Fractional coordinates of HF-3c optimized adsorption complexes for amorphous periodic ice models in .mol format, editable with MOLDRAW, using CRYSTAL17 computer code; Images of the adsorption features at crystalline periodic ice models, in which electrostatic potential maps, spin density maps (when available) and vibrational features are displayed; A pdf file with a thorough guide to the computation of BEs and the basis sets employed for the calculations.",mds,True,findable,0,0,0,0,0,2022-08-26T09:55:11.000Z,2022-08-26T09:55:12.000Z,cern.zenodo,cern,,,,
-10.5281/zenodo.5570297,Seasonal trajectories of plant-pollinator networks differ along an urbanization gradient - Data and code,Zenodo,2021,en,Dataset,"Creative Commons Attribution 4.0 International,Open Access","Dataset and code used in the article ""Seasonal trajectories of plant-pollinator networks differ along an urbanization gradient"".",mds,True,findable,0,0,0,0,0,2021-10-14T15:59:49.000Z,2021-10-14T15:59:50.000Z,cern.zenodo,cern,"network,urbanization,diversity,plant-pollinator interactions,temporal variability,spatial variability","[{'subject': 'network'}, {'subject': 'urbanization'}, {'subject': 'diversity'}, {'subject': 'plant-pollinator interactions'}, {'subject': 'temporal variability'}, {'subject': 'spatial variability'}]",,
-10.5281/zenodo.5801251,Sedimentary structure discrimination with hyperspectral imaging in sediment cores,Zenodo,2021,,Dataset,"Creative Commons Attribution 4.0 International,Open Access","The LDB17_P11Ax (IGSN: TOAE0000000243); Datation Age 1040 +/- 30 to 2017 CE by core correlation, 14C, lamina counting) core from the Bourget Lake (France) was analyzed in 2018 by hyperspectral imaging. We studied the potential of hyperspectral sensor to image a sediment cores and created machine learning models. The hyperspectral images were acquired in order to develop quantitative (estimating particle size and loss on ignition) and qualitative (detection of instantaneous events or lamina) methods.<br> All these methods allow to reconstruct the past environment and climate at high resolution (pixel size: 50-250 microns) and without destroying the sample for archiving for future analysis.<br> These images have been valorized in publications for the detection of instantaneous events with hyperspectral and combined with XRF data, for the combination of the two images into a composite image.<br> image (.hdr, .dat, .jpg)",mds,True,findable,0,0,0,2,0,2021-12-23T10:16:43.000Z,2021-12-23T10:16:44.000Z,cern.zenodo,cern,"Hyperspectral imaging,Machine learning,Discrimination methods,Visible and near-infrared spectroscopy,Automatic detection,Sedimentary deposits","[{'subject': 'Hyperspectral imaging'}, {'subject': 'Machine learning'}, {'subject': 'Discrimination methods'}, {'subject': 'Visible and near-infrared spectroscopy'}, {'subject': 'Automatic detection'}, {'subject': 'Sedimentary deposits'}]",,
-10.5281/zenodo.4629216,Deglacial ice sheet instabilities induced by proglacial lakes,Zenodo,2021,en,Dataset,"Creative Commons Attribution 4.0 International,Open Access","This archive provides the GRISLI ice sheet model outputs as part of the manuscript ""Deglacial ice sheet instabilities induced by proglacial lakes"". Contact: aurelien.quiquet@lsce.ipsl.fr",mds,True,findable,0,0,0,0,0,2021-03-23T08:23:24.000Z,2021-03-23T08:23:25.000Z,cern.zenodo,cern,"ice sheet,deglaciation,proglacial lake,grounding line","[{'subject': 'ice sheet'}, {'subject': 'deglaciation'}, {'subject': 'proglacial lake'}, {'subject': 'grounding line'}]",,
-10.6084/m9.figshare.22610681,Additional file 1 of Efficacy and auditory biomarker analysis of fronto-temporal transcranial direct current stimulation (tDCS) in targeting cognitive impairment associated with recent-onset schizophrenia: study protocol for a multicenter randomized double-blind sham-controlled trial,figshare,2023,,Text,Creative Commons Attribution 4.0 International,Additional file 1. Ethical approval.,mds,True,findable,0,0,0,0,0,2023-04-13T12:04:21.000Z,2023-04-13T12:04:22.000Z,figshare.ars,otjm,"Medicine,Neuroscience,Physiology,FOS: Biological sciences,Pharmacology,Biotechnology,69999 Biological Sciences not elsewhere classified,Science Policy,111714 Mental Health,FOS: Health sciences","[{'subject': 'Medicine'}, {'subject': 'Neuroscience'}, {'subject': 'Physiology'}, {'subject': 'FOS: Biological sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Pharmacology'}, {'subject': 'Biotechnology'}, {'subject': '69999 Biological Sciences not elsewhere classified', 'schemeUri': 'http://www.abs.gov.au/ausstats/abs@.nsf/0/6BB427AB9696C225CA2574180004463E', 'subjectScheme': 'FOR'}, {'subject': 'Science Policy'}, {'subject': '111714 Mental Health', 'schemeUri': 'http://www.abs.gov.au/ausstats/abs@.nsf/0/6BB427AB9696C225CA2574180004463E', 'subjectScheme': 'FOR'}, {'subject': 'FOS: Health sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}]",['1737833 Bytes'],
-10.5281/zenodo.8319672,WRFChem MOSAiC run,Zenodo,2023,,Dataset,"Creative Commons Attribution 4.0 International,Open Access",WRFChem MOSAiC run - April 2020. From https://doi.org/10.1525/elementa.2022.00129,mds,True,findable,0,0,0,0,0,2023-09-05T16:33:07.000Z,2023-09-05T16:33:08.000Z,cern.zenodo,cern,,,,
-10.5281/zenodo.1009122,Esa Seom-Ias – Measurement Database 2.3 Μm Region,Zenodo,2017,,Dataset,"Creative Commons Attribution Share-Alike 4.0,Open Access","The database contains measurements performed within the framework of the esa project SEOM-IAS (Scientific Exploitation of Operational Missions - Improved Atmospheric Spectroscopy Databases), ESA/AO/1-7566/13/I-BG. Details on the project can be found at http://www.wdc.dlr.de/seom-ias/.
-
-Measurements for retrieval of absorption line parameters of H<sub>2</sub>O, CO and CH<sub>4</sub> in the spectral range 4190-4340 cm<sup>-1</sup> within the esa project SEOM-IAS were performed by means of Fourier-Transform Spectroscopy (FTS) at the German Aerospace Center (DLR) and Continuous Wave Cavity Ring-Down Spectroscopy (CRDS) at Université Grenoble Alpes. The aim of the measurements was an improved line parameter database according to the needs of the TROPOMI instrument aboard the Sentinel 5-P satellite. The database contains all used molecular spectra used for Parameter retrieval.",,True,findable,0,0,0,1,0,2017-10-11T14:59:37.000Z,2017-10-11T14:59:38.000Z,cern.zenodo,cern,,,,
-10.6084/m9.figshare.c.6853693.v1,Obstructive sleep apnea: a major risk factor for COVID-19 encephalopathy?,figshare,2023,,Collection,Creative Commons Attribution 4.0 International,"Abstract Background This study evaluates the impact of high risk of obstructive sleep apnea (OSA) on coronavirus disease 2019 (COVID-19) acute encephalopathy (AE). Methods Between 3/1/2020 and 11/1/2021, 97 consecutive patients were evaluated at the Geneva University Hospitals with a neurological diagnosis of COVID-19 AE. They were divided in two groups depending on the presence or absence of high risk for OSA based on the modified NOSAS score (mNOSAS, respectively ≥ 8 and < 8). We compared patients’ characteristics (clinical, biological, brain MRI, EEG, pulmonary CT). The severity of COVID-19 AE relied on the RASS and CAM scores. Results Most COVID-19 AE patients presented with a high mNOSAS, suggesting high risk of OSA (> 80%). Patients with a high mNOSAS had a more severe form of COVID-19 AE (84.8% versus 27.8%), longer mean duration of COVID-19 AE (27.9 versus 16.9 days), higher mRS at discharge (≥ 3 in 58.2% versus 16.7%), and increased prevalence of brain vessels enhancement (98.1% versus 20.0%). High risk of OSA was associated with a 14 fold increased risk of developing a severe COVID-19 AE (OR = 14.52). Discussion These observations suggest an association between high risk of OSA and COVID-19 AE severity. High risk of OSA could be a predisposing factor leading to severe COVID-19 AE and consecutive long-term sequalae.",mds,True,findable,0,0,0,0,0,2023-09-27T03:26:12.000Z,2023-09-27T03:26:13.000Z,figshare.ars,otjm,"Biophysics,Medicine,Cell Biology,Neuroscience,Physiology,FOS: Biological sciences,Pharmacology,Biotechnology,Sociology,FOS: Sociology,Immunology,FOS: Clinical medicine,Cancer,Mental Health,Virology","[{'subject': 'Biophysics'}, {'subject': 'Medicine'}, {'subject': 'Cell Biology'}, {'subject': 'Neuroscience'}, {'subject': 'Physiology'}, {'subject': 'FOS: Biological sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Pharmacology'}, {'subject': 'Biotechnology'}, {'subject': 'Sociology'}, {'subject': 'FOS: Sociology', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Immunology'}, {'subject': 'FOS: Clinical medicine', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Cancer'}, {'subject': 'Mental Health'}, {'subject': 'Virology'}]",,
-10.6084/m9.figshare.23575372,Additional file 5 of Decoupling of arsenic and iron release from ferrihydrite suspension under reducing conditions: a biogeochemical model,figshare,2023,,Text,Creative Commons Attribution 4.0 International,Authors’ original file for figure 4,mds,True,findable,0,0,0,0,0,2023-06-25T03:11:51.000Z,2023-06-25T03:11:51.000Z,figshare.ars,otjm,"59999 Environmental Sciences not elsewhere classified,FOS: Earth and related environmental sciences,39999 Chemical Sciences not elsewhere classified,FOS: Chemical sciences,Ecology,FOS: Biological sciences,69999 Biological Sciences not elsewhere classified,Cancer","[{'subject': '59999 Environmental Sciences not elsewhere classified', 'schemeUri': 'http://www.abs.gov.au/ausstats/abs@.nsf/0/6BB427AB9696C225CA2574180004463E', 'subjectScheme': 'FOR'}, {'subject': 'FOS: Earth and related environmental sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': '39999 Chemical Sciences not elsewhere classified', 'schemeUri': 'http://www.abs.gov.au/ausstats/abs@.nsf/0/6BB427AB9696C225CA2574180004463E', 'subjectScheme': 'FOR'}, {'subject': 'FOS: Chemical sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Ecology'}, {'subject': 'FOS: Biological sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': '69999 Biological Sciences not elsewhere classified', 'schemeUri': 'http://www.abs.gov.au/ausstats/abs@.nsf/0/6BB427AB9696C225CA2574180004463E', 'subjectScheme': 'FOR'}, {'subject': 'Cancer'}]",['24064 Bytes'],
-10.5281/zenodo.5648316,Raw Data and Scripts for manuscript submitted to Oikos as 'Early Spring Snowmelt and Summer Droughts Strongly Impair the Resilience of Key Microbial Communities in a Subalpine Grassland Ecosystems',Zenodo,2021,,Dataset,"Creative Commons Attribution 4.0 International,Open Access",Raw Data and Scripts for manuscript submitted to PCI as 'Early Spring Snowmelt and Summer Droughts Strongly Impair the Resilience of Key Microbial Communities in Subalpine Grassland Ecosystems',mds,True,findable,0,0,0,0,0,2021-11-05T16:32:43.000Z,2021-11-05T16:32:44.000Z,cern.zenodo,cern,"climate change, grasslands, (de)nitrification, weather extremes, snowmelt, N2O","[{'subject': 'climate change, grasslands, (de)nitrification, weather extremes, snowmelt, N2O'}]",,
-10.5281/zenodo.5913708,Supplementary data for the publication of Characterization of Emissions in Fab Labs: an Additive Manu-facturing Environment Issue,Zenodo,2022,,Dataset,"Creative Commons Attribution 4.0 International,Open Access","Datasets for the publication of the article ""Characterization of Emissions in Fab Labs: an Additive Manufacturing Environment Issue"": - Ultrafine Particles: UFP per Zone and mode; - VOC emissions: VOC per Zone and mode.",mds,True,findable,0,0,0,0,0,2022-01-28T13:07:09.000Z,2022-01-28T13:07:10.000Z,cern.zenodo,cern,,,,
-10.5281/zenodo.7937759,Quantum mechanical modeling of the on-grain formation of acetaldehyde on H2O:CO dirty ice surfaces,Zenodo,2023,,Dataset,"Creative Commons Attribution 4.0 International,Open Access","This Supporting Material contains: Cartesian coordinates of HF-3c optimized minima and transition state for the reaction in gas phase, in .xyz format, computed using Gaussian16 code; Fractional coordinates of HF-3c optimized minima and trasition state structures for crystalline periodic models in .mol format, editable with MOLDRAW, computed using CRYSTAL17 computer code.",mds,True,findable,0,0,0,0,0,2023-08-12T07:23:25.000Z,2023-08-12T07:23:26.000Z,cern.zenodo,cern,,,,
-10.2312/yes19,Proceedings of the 5th International Young Earth Scientists (YES) Congress “Rocking Earth’s Futureâ€,German YES Chapter & GFZ German Research Centre for Geosciences,2021,en,Text,Creative Commons Attribution 4.0 International,,fabricaForm,True,findable,0,0,0,0,0,2020-09-10T09:36:58.000Z,2021-08-31T19:11:27.000Z,tib.gfzbib,gfz,"Conference Proceedings,Young Earth Scientists (YES),International Young Earth Scientists (YES) Congress,Geosciences","[{'subject': 'Conference Proceedings'}, {'subject': 'Young Earth Scientists (YES)'}, {'subject': 'International Young Earth Scientists (YES) Congress'}, {'subject': 'Geosciences'}]",['148 pages'],['pdf']
-10.5281/zenodo.2575055,robertxa/pyswath: Second release of pyswath,Zenodo,2019,,Software,Open Access,Python module to extract swath profiles from a raster. This is the second release.,mds,True,findable,0,0,0,1,0,2019-02-21T19:49:43.000Z,2019-02-21T19:49:44.000Z,cern.zenodo,cern,,,,
-10.5281/zenodo.7007289,2D honeycomb transformation into dodecagonal quasicrystals driven by electrostatic forces,Zenodo,2022,,Dataset,"Creative Commons Attribution 4.0 International,Open Access","This repository contains the key input and output files used for the density fucntional theory calculations of the paper ""Mechanism of 2D Oxide Quasicrystal formation from honeycomb structures"" by Sebastian Schenk, Oliver Krahn, Eric Cockayne, Holger L. Meyerheim, Marc deBoissieu, Stefan F""orster, and Wolf Widdra (2022). The calculations were performed using the DFT code VASP, version 5.4.4 [Commercial software is mentioned in this README file to adquately described the procedure. This does not imply an endorsement or recommendation by the National Institute of Standards and Technology, nor that the software used is necessarily the best for the given<br> purpose.] The subfolder large_approximant contains the files for the large Sr<sub>48</sub>Ti<sub>132</sub>O<sub>204</sub> approximant on a Pt monolayer. Subfolders honeycomb/Pt<sub>N</sub> and sigma/Pt<sub>N</sub> contain the files for honeycomb and sigma Ba<sub>8</sub>Ti<sub>24</sub>O<sub>36</sub> structures on Pt trilayers with N Pt per layer per periodic cell. Subfolders honeycomb/Pt<sub>N</sub>/substrate contain the corresponding files<br> for the Pt substrate alone. The honeycomb and sigma structures are at the equilibrium strain as determined by matching interpolated stress results, as described in the Supplementary Information associated with the main Article. The input files are the standard VASP input files: POSCAR (structure information), POTCAR_TITEL (pseudopotential information. Because the VASP pseudopotential files are proprietary, only the titles of the pseudopotentials used are given), KPOINTS (k-point generation) and INCAR (most calculation details). To accelerate the DFT van der Waals calculation, the file vdw_kernel.bindat from the VASP package (not included here) should also be used. The output files are OSZICAR (summarizes energy at each iteration) and OUTCAR (full ouput).",mds,True,findable,0,0,0,0,0,2022-08-18T13:54:16.000Z,2022-08-18T13:54:17.000Z,cern.zenodo,cern,"Oxide quasicrystals, 2D ternary oxide, quasicrystal approximant, DFT","[{'subject': 'Oxide quasicrystals, 2D ternary oxide, quasicrystal approximant, DFT'}]",,
-10.6084/m9.figshare.23983487.v1,Additional file 2 of Aberrant activation of five embryonic stem cell-specific genes robustly predicts a high risk of relapse in breast cancers,figshare,2023,,Dataset,Creative Commons Attribution 4.0 International,"Additional file 2: Table S1. List of genes with predominant expression in testis, placenta and/or embryonic stem cells. Table S2. Frequencies of ectopic activations of the tissue-specific genes. Table S3. Results of the validation step in the biomarker discovery pipeline. Table S4. Datasets of normal tissues and breast cancers with corresponding sample sizes. Table S5. List of normal tissues and the corresponding sample sizes.",mds,True,findable,0,0,0,0,0,2023-08-18T03:20:43.000Z,2023-08-18T03:20:44.000Z,figshare.ars,otjm,"Medicine,Cell Biology,Genetics,FOS: Biological sciences,Molecular Biology,Biological Sciences not elsewhere classified,Information Systems not elsewhere classified,Mathematical Sciences not elsewhere classified,Developmental Biology,Cancer,Plant Biology","[{'subject': 'Medicine'}, {'subject': 'Cell Biology'}, {'subject': 'Genetics'}, {'subject': 'FOS: Biological sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Molecular Biology'}, {'subject': 'Biological Sciences not elsewhere classified'}, {'subject': 'Information Systems not elsewhere classified'}, {'subject': 'Mathematical Sciences not elsewhere classified'}, {'subject': 'Developmental Biology'}, {'subject': 'Cancer'}, {'subject': 'Plant Biology'}]",['174460 Bytes'],
-10.5281/zenodo.5243356,Swedish DBnary archive in original Lemon format,Zenodo,2021,sv,Dataset,"Creative Commons Attribution Share Alike 4.0 International,Open Access","The DBnary dataset is an extract of Wiktionary data from many language editions in RDF Format. Until July 1st 2017, the lexical data extracted from Wiktionary was modeled using the lemon vocabulary. This dataset contains the full archive of all DBnary dumps in Lemon format containing lexical information from Swedish language edition, ranging from 7th April 2015 to 1st July 2017. After July 2017, DBnary data has been modeled using the ontolex model and will be available in another Zenodo entry.",mds,True,findable,0,0,0,0,0,2021-08-24T11:50:12.000Z,2021-08-24T11:50:13.000Z,cern.zenodo,cern,"Wiktionary,Lemon,Lexical Data,RDF","[{'subject': 'Wiktionary'}, {'subject': 'Lemon'}, {'subject': 'Lexical Data'}, {'subject': 'RDF'}]",,
-10.18709/perscido.2021.09.ds353,PAirMax-Airbus,PerSCiDo,2021,en,Dataset,,"This archive contains 5 panchromatic and multispectral bundles (at both both full and reduced resolution). These images are part of the PAirMax dataset (*). This dataset is provided as a password protected folder as data can be accessed only after accepting the Airbus license. Description: The images were derived from original acquisitions by the Pléiades and Spot7 satellites and are provided courtesy of Airbus. The original images full scenes can be accessed at: https://sandbox.intelligence-airbusds.com -> Pansharpening dataset. The 5 images in this archive are listed below. Please refer to [1] for more details on the images and the preprocessing done. - Pl_Hous_Urb - Pl_Sacr_Mix - Pl_Stoc_Urb - S7_Napl_Urb - S7_NewY_Mix Instruction for retrieving the password: - Go to https://sandbox.intelligence-airbusds.com - Fill the form for requesting the Pansharpening dataset (need to accept the Airbus license) - The password will be provided in the confirmation email. ---------------------------------------------------------------------------- (*) The PAirMax dataset is a collection of data with the aim of assessing the performance of pansharpening algorithms. The data collection includes 5 test cases selected at full resolution (FR), acquired by two sensors belonging to the Airbus' constellation of high-resolution imaging satellites. Moreover, 5 related test cases at reduced resolution (RR), simulated according to the Wald’s protocol, are included, thus resulting in 10 challenging test cases for pansharpening performance assessment. For further details, please, refer to the paper: [1] G. Vivone, M. Dalla Mura, A. Garzelli, and F. Pacifici, \""A Benchmarking Protocol for Pansharpening: Dataset, Pre-processing, and Quality Assessment,\"" IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021.",fabrica,True,findable,0,0,0,0,0,2021-09-21T14:31:17.000Z,2021-09-21T14:31:17.000Z,inist.persyval,vcob,"Environmental science and ecology,Information technology","[{'lang': 'en', 'subject': 'Environmental science and ecology'}, {'lang': 'en', 'subject': 'Information technology'}]",['500 MB'],
-10.6084/m9.figshare.23822154.v1,Dataset for the main experiment from Mirror exposure following visual body-size adaptation does not affect own body image,The Royal Society,2023,,Dataset,Creative Commons Attribution 4.0 International,Data for the main experiment in CSV format.,mds,True,findable,0,0,0,0,0,2023-08-02T11:18:26.000Z,2023-08-02T11:18:26.000Z,figshare.ars,otjm,"Cognitive Science not elsewhere classified,Psychology and Cognitive Sciences not elsewhere classified","[{'subject': 'Cognitive Science not elsewhere classified'}, {'subject': 'Psychology and Cognitive Sciences not elsewhere classified'}]",['29026 Bytes'],
-10.5281/zenodo.7537055,"Spectral data associated to the publication: ""Reflectance study of ice and Mars soil simulant associations—II. CO2 and H2O ice"" by Z. Yoldi et al. (Icarus 386, 2022)",Zenodo,2023,,Dataset,"Creative Commons Attribution 4.0 International,Open Access","This is the complete set of experimental VIS-NIR reflectance data collected by Z. Yoldi and co-authors for the article ""Reflectance study of ice and Mars soil simulant associations—II. CO2 and H2O ice"" published in Icarus 386 (2022). doi: https://doi.org/10.1016/j.icarus.2022.115116. A pre-print of the article is also freely available on ArXiv: https://arxiv.org/abs/2207.13905 The article provides the methodology for the spectral aquisitions, discussion of the errors and uncertainties, analysis of the spectra and implications for the composition of Solar System surfaces. The spectral data are organised in folders corresponding to the different types of experiments detailed in the article. In case both hyperspectral and multispectral data were acquired, they are organised in subfolders. The spectral files inside these folders and subfolders have the following naming convention: spectrum_YYYYMMDD_experiment_name_TYPE_XX_YYY.csv Where TYPE is either multi (multispectral) or hyper (hyperspectral), XX indicates different samples within the experiment (see paper, figures and tables) and YYY is a sequential number in case of a temporal evolution (sublimation experiment in ""20180207_ternary_mixture"" with 12 timesteps). The files are in csv format (columns separated by comma) and the content of each column is indicated in the first line (header).",mds,True,findable,0,0,0,0,0,2023-01-14T14:41:33.000Z,2023-01-14T14:41:34.000Z,cern.zenodo,cern,,,,
-10.6084/m9.figshare.c.6756888.v1,Flexible optical fiber channel modeling based on a neural network module,Optica Publishing Group,2023,,Collection,Creative Commons Attribution 4.0 International,"Optical fiber channel modeling which is essential in optical transmission system simulations and designs is usually based on the split-step Fourier method (SSFM), making the simulation quite time-consuming owing to the iteration steps. Here, we train a neural network module termed by NNSpan to learn the transfer function of one single fiber (G652 or G655) span with a length of 80km and successfully emulate long-haul optical transmission systems by cascading multiple NNSpans with a remarkable prediction accuracy even over a transmission distance of 1000km. Although training without erbium-doped fiber amplifier (EDFA) noise, NNSpan performs quite well when emulating the systems affected by EDFA noise. An optical bandpass filter can be added after EDFA optionally, making the simulation more flexible. Comparison with the SSFM shows that the NNSpan has a distinct computational advantage with the computation time reduced by a factor of 12. This method based on the NNSpan could be a supplementary option for optical transmission system simulations, thus contributing to system designs as well.",mds,True,findable,0,0,0,0,0,2023-08-10T20:33:33.000Z,2023-08-10T20:33:33.000Z,figshare.ars,otjm,Uncategorized,[{'subject': 'Uncategorized'}],,
-10.6084/m9.figshare.24196813.v1,Additional file 1 of Sonometric assessment of cough predicts extubation failure: SonoWean—a proof-of-concept study,figshare,2023,,Text,Creative Commons Attribution 4.0 International,"Additional file 1. Supplemental Fig 1: Description of the Pulsar Model 14® Sound Level Meter and method for measurement. The Model 14 is a general purpose digital sound level meter which meets the full requirements of IEC 61672 to Class 2. Before each inclusion the Sound Level Meter was calibrated acoustically using an external reference, i.e the Sound Level Calibrator Model 106, which is placed over the microphone. The calibrator generates a stabilized Sound Pressure Level of 94dB (+- 0.3dB) at a frequency of 1 kHz. Using a Low range (Low = 35dB to 100dB), maximum sound level was measured pressing the MAX HOLD button for at least ½ second and was ultimately noticed. A level of sound in decibels (L) is defined as ten times the base-10 logarithm of the ratio between two power-related quantities I (i.e cough-volume related sound) and Io (i.e the human hearing threshold) as follows: L = 10 * Log 10 (I/ Io). Thus, an apparent mild increase from 73 to 76 dB in sound level results in multiplying acoustic energy by a factor two.",mds,True,findable,0,0,0,0,0,2023-09-26T03:25:47.000Z,2023-09-26T03:25:47.000Z,figshare.ars,otjm,"Medicine,Cell Biology,Physiology,FOS: Biological sciences,Immunology,FOS: Clinical medicine,Infectious Diseases,FOS: Health sciences,Computational Biology","[{'subject': 'Medicine'}, {'subject': 'Cell Biology'}, {'subject': 'Physiology'}, {'subject': 'FOS: Biological sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Immunology'}, {'subject': 'FOS: Clinical medicine', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Infectious Diseases'}, {'subject': 'FOS: Health sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Computational Biology'}]",['117717 Bytes'],
-10.5281/zenodo.10020983,robertxa/pytherion: First realease,Zenodo,2023,,Software,Creative Commons Attribution 4.0 International,Python code to convert Visual Top .tro file to Therion files (.th and .thconfig),api,True,findable,0,0,0,0,0,2023-10-19T08:43:17.000Z,2023-10-19T08:43:17.000Z,cern.zenodo,cern,,,,
-10.5281/zenodo.4757636,Figs. 1–4 in Morphology And Systematic Position Of Two Leuctra Species (Plecoptera: Leuctridae) Believed To Have No Specilla,Zenodo,2014,,Image,"Creative Commons Attribution 4.0 International,Open Access","Figs. 1–4. Leuctra bidula. Male abdomen: 1, Dorsal. 2, Lateral. 3, Ventral, Sternite IX. Female abdomen: 4, Ventral, showing the pregenital and subgenital plates (1-4 after Aubert 1962).",mds,True,findable,0,0,2,0,0,2021-05-13T16:06:29.000Z,2021-05-13T16:06:30.000Z,cern.zenodo,cern,"Biodiversity,Taxonomy,Animalia,Arthropoda,Insecta,Plecoptera,Leuctridae,Leuctra","[{'subject': 'Biodiversity'}, {'subject': 'Taxonomy'}, {'subject': 'Animalia'}, {'subject': 'Arthropoda'}, {'subject': 'Insecta'}, {'subject': 'Plecoptera'}, {'subject': 'Leuctridae'}, {'subject': 'Leuctra'}]",,
-10.60662/0yc3-e898,Vers un service générique d’aide à la décision pour gérer un logement basé sur des techniques d’apprentissage interactif et coopératif,CIGI QUALITA MOSIM 2023,2023,,ConferencePaper,,,fabricaForm,True,findable,0,0,0,0,0,2023-09-01T19:58:37.000Z,2023-09-01T19:58:37.000Z,uqtr.mesxqq,uqtr,,,,
-10.5281/zenodo.3257654,Microscopy image sequences and annotated kymographs of laser ablation experiments in Drosophila embryos,Zenodo,2019,en,Dataset,"Creative Commons Attribution Non Commercial Share Alike 4.0 International,Open Access","<strong>Content</strong>
-
-This dataset contains 15 2D time-lapse fluorescence microscopy image sequences recorded with confocal laser-scanning microscopy. Each movie shows an epithelial tissue laser nanoablation experiment conducted in a Drosophila embryo.
-
-For each sequence, the dataset contains kymographs (one-dimensional space-time plots) of a supracellular cable that is cut during the ablation, and manually created tracks of visible features, such as the resulting cut ends. These tracks allow to estimate, for instance, recoil velocities of the cut tissue and may be used to evaluate automated methods for estimating said velocities.
-
-This dataset is used in the manuscript to evaluate various variational approaches for joint motion estimation and source identification:
-
-L. F. Lang, N. Dutta, E. Scarpa, B. Sanson, C.-B. Schönlieb, and J. Étienne. Joint Motion Estimation and Source Identification using Convective Regularisation with an Application to the Analysis of Laser Nanoablations. 2019.
-
-<strong>Description</strong>
-
-The movies depict a square region of approximately \(42.2 \times 42.2 \, \mathrm{\mu m}^{2}\) at a spatial resolution of \(250 \times 250\) pixels. A typical sequence contains between 60 and 100 frames. They temporal interval between recorded frames was \(727.67 \, \mathrm{ms}\).
-
-Each sequence features cell membranes labelled with E-cadherin:GFP and shows a single plasma-induced laser nanoablation. The destructed tissue region is roughly of \(2 \, \mathrm{\mu m}\) length. This ablation is expected to have a width of the order of the size of one pixel. During the ablation the acquisition is paused, resulting in a black image.
-
-For the used microscopy techniques and for the preparation of flies, as well as for the details of the laser ablation method, see the paper:
-
-E. Scarpa, C. Finet, G. B. Blanchard, and B. Sanson. Actomyosin-driven tension at compartmental boundaries orients cell division independently of cell geometry In Vivo. Dev. Cell, 47(6):727–740.e6, December 2018. URL: https://doi.org/10.1016/j.devcel.2018.10.029
-
-The kymographs and the manually created annotations (tracks) of features were created using Fiji (https://fiji.sc/).
-
-<strong>Content</strong>
-
-The dataset contains 15 sequences placed in the following folder structure:
-
-
- SqAX3_SqhGFP42_GAP43_TM6B
-
- 190216E4PSB1
- 190216E5PSB1
- 190216E5PSB2
- 190216E6PSB1
- 190216E8PSB1
- E2PSB1
- E5PSB2
- E8PSB1
- PSB1E1
- PSB4
-
-
- SqhGFP40
-
- e1_PSB8
- e3_PSB9
- e3_PSB10
- e4_PSB11
- e4_PSB12
-
-
-
-
-Each folder contains:
-
-
- The sequence itself in TIF format, e.g. ""190216E4PSB1PMT - PMT [560-] _C1.ome.tif"".
- A file ""reslice.roi"" that indicates the location/direction of the cut supracellular cable.
- 3 different kymographs for each sequence obtained by taking avg/max/sum projections in Fiji orthogonal to the line specified in ""reslice.roi"", e.g.
-
- ""AVG_Reslice of 190216E4PSB1PMT.tif"",
- ""MAX_Reslice of 190216E4PSB1PMT.tif"",
- ""SUM_Reslice of 190216E4PSB1PMT.tif"".
-
-
- Text files that state the time/space coordinates of manually tracked features in the kymographs, e.g.
-
- ""cutend_L.txt"" (coordinates of the left cut end after the ablation),
- ""cutend_R.txt"" (coordiantes of the right cut end),
- ""feat_X.txt"" (coordinates of additional features, where X is a number and L or R).
-
-
- A ZIP file ""manual_ROIs.zip"" that contains all the coordinates of tracked features of the kymograph in ROI format (e.g. ""cutend_L.roi"").
-
-
-<strong>Usage</strong>
-
-The sequences, kymographs, and the tracks can be viewed using, for example, Fiji.
-
-For the automated analysis, see the Python code that accompanies the manuscript above. It is available at https://dx.doi.org/XXX
-
-<strong>License information</strong>
-
-This dataset is released under Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License. See CC BY-NA-SC 4.0.
-
-<strong>How to cite this dataset</strong>
-
-If you use this dataset in an academic publication, please consider citing the paper:
-
-L. F. Lang, N. Dutta, E. Scarpa, B. Sanson, C.-B. Schönlieb, and J. Étienne. Joint Motion Estimation and Source Identification using Convective Regularisation with an Application to the Analysis of Laser Nanoablations. 2019.
-
-To cite solely the dataset, please use:
-
-L. F. Lang, N. Dutta, E. Scarpa, B. Sanson, C.-B. Schönlieb, and J. Étienne. (2019). Microscopy image sequences and annotated kymographs of laser ablation experiments in Drosophila embryos [Data set]. Zenodo. http://doi.org/10.5281/zenodo.3257654",mds,True,findable,0,0,0,0,0,2019-06-30T16:48:56.000Z,2019-06-30T16:48:57.000Z,cern.zenodo,cern,"Drosophila,cell membrane,laser ablation,microscopy,image sequence,tracking,kymograph","[{'subject': 'Drosophila'}, {'subject': 'cell membrane'}, {'subject': 'laser ablation'}, {'subject': 'microscopy'}, {'subject': 'image sequence'}, {'subject': 'tracking'}, {'subject': 'kymograph'}]",,
-10.5281/zenodo.4607934,lmarelle/WRF-halogens: WRF-Chem 4.1.1 version including polar bromine chemistry and emissions,Zenodo,2021,,Software,Open Access,"Version 1.0 corresponds to WRF-Chem 4.1.1 + halogen gas-phase chemistry and heterogeneous chemistry on aerosols, also including bromine emissions from surface snow and blowing snow. Version used to perform the runs presented in the paper submitted to JAMES: ""Implementation and impacts of surface and blowing snow sources of Arctic bromine activation within WRF-Chem 4.1.1"" Louis Marelle, Jennie L. Thomas, Shaddy Ahmed, Katie Tuite, Jochen Stutz, Aurelien Dommergue, William R. Simpson, Markus M. Frey, Foteini Baladima",mds,True,findable,0,0,1,0,0,2021-03-16T13:57:31.000Z,2021-03-16T13:57:33.000Z,cern.zenodo,cern,,,,
-10.5281/zenodo.7970338,"CliffEBM - A Gridded Ice Cliff Energy Balance Model (first public release, v01.1)",Zenodo,2023,en,Software,"Creative Commons Attribution 4.0 International,Open Access","<em>CliffEBM </em>is a model that calculates the distributed surface energy balance and backwasting (melt) rates for ice cliffs, i.e. steep ice surfaces with complex, heterogeneous topographies. The model is validated and described in Buri, P., Pellicciotti, F., Steiner, J., Miles, E., & Immerzeel, W. (2016). <strong>A grid-based model of backwasting of supraglacial ice cliffs on debris-covered glaciers.</strong> <em>Annals of Glaciology,</em> <em>57</em>(71), 199-211. https://doi.org/10.3189/2016AoG71A059 See most update version here: https://github.com/pburi/CliffEBM In this repository we provide example input data (digital elevation models, shapefiles, meteodata) to run <em>CliffEBM </em>on one supraglacial cliff on the debris-covered Lirung Glacier (Nepal). Working example: to run the model, download the entire repository on your machine and adjust the paths in the model code (<em>CliffEBM.R</em>, section ""<em>primary definitions</em>"") according to the paths on your machine. Software: R (R version 4.3.0 (2023-04-21 ucrt) -- ""Already Tomorrow""). The model should also run on older versions. Packages: <em>cleaRskyQuantileRegression, doParallel, foreach, grDevices, iterators, methods, parallel, raster, rgdal, rgeos, sf, sp, stats, utils, zoo</em>",mds,True,findable,0,0,0,0,0,2023-05-25T11:41:22.000Z,2023-05-25T11:41:22.000Z,cern.zenodo,cern,"Ice cliffs,Debris-covered glaciers,Energy balance,Backwasting","[{'subject': 'Ice cliffs'}, {'subject': 'Debris-covered glaciers'}, {'subject': 'Energy balance'}, {'subject': 'Backwasting'}]",,
-10.5061/dryad.rxwdbrvbg,"Genomic shifts, phenotypic clines and fitness costs associated with cold-tolerance in the Asian tiger mosquito",Dryad,2022,en,Dataset,Creative Commons Zero v1.0 Universal,"Climatic variation is a key driver of genetic differentiation and phenotypic traits evolution, and local adaptation to temperature is expected in widespread species. We investigated phenotypic and genomic changes in the native range of the Asian tiger mosquito, Aedes albopictus. We first refine the phylogeographic structure based on genome-wide regions (1,901 double-digest restriction-site associated DNA single nucleotide polymophisms [ddRAD SNPs]) from 41 populations. We then explore the patterns of cold adaptation using phenotypic traits measured in common garden (wing size and cold tolerance) and genotype–temperature associations at targeted candidate regions (51,706 exon-capture SNPs) from nine populations. We confirm the existence of three evolutionary lineages including clades A (Malaysia, Thailand, Cambodia, and Laos), B (China and Okinawa), and C (South Korea and Japan). We identified temperature-associated differentiation in 15 out of 221 candidate regions but none in ddRAD regions, supporting the role of directional selection in detected genes. These include genes involved in lipid metabolism and a circadian clock gene. Most outlier SNPs are differently fixed between clades A and C, whereas clade B has an intermediate pattern. Females are larger at higher latitudes yet produce no more eggs, which might favor the storage of energetic reserves in colder climates. Nondiapausing eggs from temperate populations survive better to cold exposure than those from tropical populations, suggesting they are protected from freezing damages but this cold tolerance has a fitness cost in terms of egg viability. Altogether, our results provide strong evidence for the thermal adaptation of A. albopictus across its wide temperature range.",mds,True,findable,87,1,0,0,0,2022-11-18T18:12:59.000Z,2022-11-18T18:13:00.000Z,dryad.dryad,dryad,"FOS: Biological sciences,FOS: Biological sciences,Aedes albopictus,ddRAD Sequencing,thermal adaptation,Common garden,fitness,cold tolerance,Wing Size","[{'subject': 'FOS: Biological sciences', 'subjectScheme': 'fos'}, {'subject': 'FOS: Biological sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Aedes albopictus'}, {'subject': 'ddRAD Sequencing'}, {'subject': 'thermal adaptation'}, {'subject': 'Common garden'}, {'subject': 'fitness'}, {'subject': 'cold tolerance'}, {'subject': 'Wing Size'}]",['10516046 bytes'],
-10.5061/dryad.jm63xsj7b,Data from: Tetra-EU 1.0: a species-level trophic meta-web of European tetrapods,Dryad,2020,en,Dataset,Creative Commons Zero v1.0 Universal,"Motivation Documenting potential interactions between species represents a major step to understand and predict the spatial and temporal structure of multi-trophic communities and their functioning. The metaweb concept summarises the potential trophic (and non-trophic) interactions in a given species-pool. As such, it generalises the regional species-pool of community ecology by incorporating the potential relationships between species from different trophic levels along with their functional characteristics. However, while this concept is theoretically very attractive, it has rarely been used to understand the structure of ecological network, mostly because of data availability. Here, we provide a continental scale, species-level, metaweb for all tetrapods (mammals, breeding birds, reptiles, amphibians) occurring in Europe and in the Northern Mediterranean basin. This metaweb is based on data extracted from scientific literature, including published papers, books, and grey literature. Main type of variable contained For each species considered, we built the network of potential 2-way trophic interactions. Spatial location and grain We considered all species occurring in the entire European sub-continent, from Macaronesia (including only the islands politically belonging to Spain and Portugal) to the Ural Mountains (west to east), and from Fennoscandia and UK islands to the Mediterranean (north to south). We included Turkey, geographically part of Asia, to provide a complete picture of the north-eastern Mediterranean coast. Time period The data represent information published and/or collected during the last 50 years. Major taxa studied and level of measurement We focused our metaweb on terrestrial tetrapods occurring in the study area. Only species introduced in historical times and currently naturalized were considered; novel introductions were excluded. In total we included 288 mammals, 509 regularly breeding birds, 250 reptiles, and 104 amphibians. Software format Data are supplied as semi-colon separated text files.",mds,True,findable,656,251,1,2,0,2020-05-21T07:58:22.000Z,2020-05-21T07:58:23.000Z,dryad.dryad,dryad,"breeding birds,Reptiles,metaweb,Trophic interactions","[{'subject': 'breeding birds'}, {'subject': 'Reptiles', 'schemeUri': 'https://github.com/PLOS/plos-thesaurus', 'subjectScheme': 'PLOS Subject Area Thesaurus'}, {'subject': 'metaweb'}, {'subject': 'Trophic interactions', 'schemeUri': 'https://github.com/PLOS/plos-thesaurus', 'subjectScheme': 'PLOS Subject Area Thesaurus'}]",['16596876 bytes'],
-10.5061/dryad.27qf3,Data from: Landscape-scale distribution patterns of earthworms inferred from soil DNA,Dryad,2016,en,Dataset,Creative Commons Zero v1.0 Universal,"Assessing land-use effect on the diversity of soil biota has long been hampered by difficulties in collecting and identifying soil organisms over large areas. Recently, environmental DNA-based approaches coupled with next-generation sequencing were developed to study soil biodiversity. Here, we optimized a protocol based on soil DNA to examine the effects of land-use on earthworm communities in a mountain landscape. This approach allowed an efficient detection of earthworm diversity and highlighted a significant land-use effect on the distribution patterns of earthworms that was not revealed by a classical survey. Our results show that the soil DNA-based earthworm survey at the landscape-scale improves over previous approaches, and opens a way towards large-scale assessment of soil biodiversity and its drivers.",mds,True,findable,328,48,1,2,0,2015-02-05T15:21:48.000Z,2015-02-05T15:21:49.000Z,dryad.dryad,dryad,"earthworm,Spatial distribution,Land-use,Soil biodiversity,Holocene","[{'subject': 'earthworm'}, {'subject': 'Spatial distribution'}, {'subject': 'Land-use'}, {'subject': 'Soil biodiversity'}, {'subject': 'Holocene'}]",['62066006 bytes'],
-10.5281/zenodo.4761335,"Fig. 57 in Two New Species Of Dictyogenus Klapálek, 1904 (Plecoptera: Perlodidae) From The Jura Mountains Of France And Switzerland, And From The French Vercors And Chartreuse Massifs",Zenodo,2019,,Image,"Creative Commons Attribution 4.0 International,Open Access","Fig. 57. Dictyogenus alpinum, male, epiproct, lateral view. Nant Bénin River, Savoie dpt, France. Photo B. Launay.",mds,True,findable,0,0,6,0,0,2021-05-14T07:49:44.000Z,2021-05-14T07:49:45.000Z,cern.zenodo,cern,"Biodiversity,Taxonomy,Animalia,Arthropoda,Insecta,Plecoptera,Perlodidae,Dictyogenus","[{'subject': 'Biodiversity'}, {'subject': 'Taxonomy'}, {'subject': 'Animalia'}, {'subject': 'Arthropoda'}, {'subject': 'Insecta'}, {'subject': 'Plecoptera'}, {'subject': 'Perlodidae'}, {'subject': 'Dictyogenus'}]",,
-10.5281/zenodo.8025653,Accelerated exploration of multinary systems,Zenodo,2022,en,Dataset,"Creative Commons Attribution 4.0 International,Open Access","This repository contains the datasets produced from the characterizations of the quinary Nb-Ti-Zr-Cr-Mo, and predictions made by Machine Learning models. <strong>Experimental work</strong> Gradients of composition were characterized by: EDX for composition evaluation, with an error of 1% on atomic and mass composition nanoindentation for the measurement of the elastic modulus (E) and hardness (H) EBSD : from each map we extract the Confidence Index CI and Image Quality IQ that are indicator of crystallinity. CI is also used to define phase classes (0 for amorphous, 1 for crystalline) XRD: from each diffractogram we extract a phase class (0 for amorphous, 1 for crystalline): raw data are available in XRD.zip Different datasets are built: Raw_data associate to each composition the EBSD CI, IQ, EBSD phase class, and the elastic modulus (E) and hardness (H) computed by the software TestWork Analysis without any correction. For each composition, 5 measurement replications were performed. Raw_data_corrected contains the EBSD CI, IQ, EBSD phase class, and the 5 replications per compositions of E and H corrected through Oliver and Pharr model. Compo_E_H_threshold correspond to Raw_data_corrected in which we have thresholded values of E and H. We removed all composition such that E < 10 GPa and all H < 2 GPa, as they correspond to nanoindentation test failures. Compo_E_wo_outliers and Compo_H_wo_outliers: Dixon test allows to identify outliers on E replications and H replications, that are removed to give each dataset. Each composition is associated to replications of E or H that were not identified as outliers. Averaged_data: each composition is associated to EBSD CI, IQ, EBSD phase class, and with average values of E and H replications without outliers. Data_averaged_mechanical_model: add to previous data the other mechanical properties computed with Galanov model from E and H experimental results: relative characteristic size of the elastic-plastic zone under the indenter \(x = \frac{b_s}{c}\), the constrain factor \(C\) – linking yield strength and hardness – and the ductility characteristic \(\delta_H\) – ratio of plastic deformation and total deformation. It also contains \(\frac{E²}{H}\). Database_XRD: each composition is associated to phase class defined from XRD diffractograms The dataset_initial.zipl contains the experimental results with an initial 20-gradients sets which screen preferably the center of Nb-Ti-Zr-Cr-Mo. It contains all the kind of datasets. The dataset_adding_binaries.zip contains the experimental results for the initial 20-gradients + additional binary gradients Nb-Ti binary 1), Nb-Cr (binary 2) and Cr-Mo (binary 3). It contains the data without outliers, averaged data and XRD database. <strong>Predictions of Machine Learning Models from experimental datasets</strong> Machine Learning models are trained to predict properties from compositions: Random Forest (RF), Support Vector Machine (SVM) and Neural Network (NN) models. Model assessment (i.e. choosing best hyper-parameters for each model) was performed on Compo_E_wo_outliers for E prediction, Compo_H_wo_outliers for H prediction, and on Averaged_data and Database_XRD for phase prediction. Results of model trainings are given in ModelAssessment.tar.gz. The best model of RF, NN and SVM are trained on all datasets: results are given in Train_model_xx.tar.gz. Training the same model with datasets with more or less outliers for E and H predictions allows to see the effect of outliers on the results. The best models of RF and NN are then trained adding iteratively the binaries: results are in tarball Train_model_xx_adding_binaries.tar.gz <strong><em>These tarball are to be used with PyTerK modules available here. </em></strong> The models then predict, for all atomic compositions of Nb-Ti-Zr-Cr-Mo, with 2%at steps, the associated properties: predictions_XX contain atomic compositions associated to predicted CI, IQ, EBSD phase class, XRD phase class, E, H, for each kind of model. Predictions_XX_mechanical_model contain the same data with other mechanical properties computed with Galanov model from E and H predictions: relative characteristic size of the elastic-plastic zone under the indenter \(x = \frac{b_s}{c}\), the constrain factor \(C\) – linking yield strength and hardness – and the ductility characteristic \(\delta_H\) – ratio of plastic deformation and total deformation. It also contains \(\frac{E²}{H}\). The prediction_initial.zip contains the predictions made for all the model families with initial datasets. The predictions_adding_binaries.zip the predictions made with the best model (determined with the initial dataset) trained with the initial dataset+ binaries",mds,True,findable,0,0,0,0,0,2023-07-02T19:43:27.000Z,2023-07-02T19:43:27.000Z,cern.zenodo,cern,"High Entropy Alloys,Combinatorial,Mixture Design,Multinary,Machine Learning","[{'subject': 'High Entropy Alloys'}, {'subject': 'Combinatorial'}, {'subject': 'Mixture Design'}, {'subject': 'Multinary'}, {'subject': 'Machine Learning'}]",,
-10.5281/zenodo.3625778,Database rockfills,Zenodo,2020,,Dataset,"Creative Commons Attribution 4.0 International,Open Access","Data compilation from large drained compression triaxial tests on coarse crushable rockfill materials. With the aim of enlarging and consolidating the database on the mechanical behavior of coarse rockfills, this file compiles 158 drained triaxial compression tests conducted on 33 different materials, performed on samples of about 1000 mm in diameter and with maximum particle size between 100 and 200 mm.",mds,True,findable,0,0,0,0,0,2020-01-23T13:16:04.000Z,2020-01-23T13:16:04.000Z,cern.zenodo,cern,"rockfill, large triaxial tests, particle crushing, shear strength, secant stiffness","[{'subject': 'rockfill, large triaxial tests, particle crushing, shear strength, secant stiffness'}]",,
+10.17178/emaa_oh_fine_2e526008,Fine excitation of OH by ortho-H2 and para-H2 collisions,"UGA, CNRS, CNRS-INSU, OSUG",2021,en,Dataset,"Please acknowledge the use of EMAA Database by citing the original articles in which the data were published (BibTeX format available), and adding the following sentence in your publication:
+This research has made use of spectroscopic and collisional data from the EMAA database (https://emaa.osug.fr). EMAA is supported by the Observatoire des Sciences de l'Univers de Grenoble (OSUG),Creative Commons Attribution 4.0 International,Data access and use are ruled by the EMAA data policy.",20 fine energy levels / 50 radiative transitions / 190 collisional transitions for para-H2 (7 temperatures in the range 10-150K) / 190 collisional transitions for ortho-H2 (7 temperatures in the range 10-150K),mds,True,findable,0,0,0,0,0,2022-02-07T11:25:20.000Z,2022-02-07T11:25:21.000Z,inist.osug,jbru,"target OH,excitationType Fine,collisional excitation,collider.0 para-H2,collider.1 ortho-H2,astrophysics,interstellar medium,comets,circumstellar medium,gas,microwave spectroscopy,infrared spectroscopy,rotational excitation,rovibrational excitation,vibrational excitation,electronic excitation,collisional rate coefficients,fine structure,hyperfine structure","[{'subject': 'target OH', 'subjectScheme': 'main'}, {'subject': 'excitationType Fine', 'subjectScheme': 'main'}, {'subject': 'collisional excitation', 'subjectScheme': 'main'}, {'subject': 'collider.0 para-H2', 'subjectScheme': 'var'}, {'subject': 'collider.1 ortho-H2', 'subjectScheme': 'var'}, {'subject': 'astrophysics', 'subjectScheme': 'var'}, {'subject': 'interstellar medium', 'subjectScheme': 'var'}, {'subject': 'comets', 'subjectScheme': 'var'}, {'subject': 'circumstellar medium', 'subjectScheme': 'var'}, {'subject': 'gas', 'subjectScheme': 'var'}, {'subject': 'microwave spectroscopy', 'subjectScheme': 'var'}, {'subject': 'infrared spectroscopy', 'subjectScheme': 'var'}, {'subject': 'rotational excitation', 'subjectScheme': 'var'}, {'subject': 'rovibrational excitation', 'subjectScheme': 'var'}, {'subject': 'vibrational excitation', 'subjectScheme': 'var'}, {'subject': 'electronic excitation', 'subjectScheme': 'var'}, {'subject': 'collisional rate coefficients', 'subjectScheme': 'var'}, {'subject': 'fine structure', 'subjectScheme': 'var'}, {'subject': 'hyperfine structure', 'subjectScheme': 'var'}]",,['Radex']
+10.48537/hal-03220284,"Architectures, Technologies, and Stadiums Atmospheres",Reseau International Ambiances,2020,en,Text,Creative Commons Attribution Non Commercial No Derivatives 2.0 Generic,"The aims of this work are to under- stand some changes in the behavior of football spectators and fans in the stadium. For that, the analysis considers the architecture of new stadiums in one hand, the evolution of elite football in Europe in another hand, and the links with fans by a sociological approach.The information is coming from academics researches and journalists commentaries. The results show that the necessity to struggle against hooliganism and violence of the ultras, the football spectacle commodification, the building of new sport facilities, and the ticket price policy to make them profitable, induced the gentrification of the public. As a former French professional footballer said, “In the past, the fans encouraged, today, they sing.â€",mds,True,findable,0,0,0,0,0,2021-06-17T09:44:33.000Z,2021-06-17T09:44:34.000Z,jbru.aau,jbru,"Stadiums,Architectures,Design,Technologies,Sensitization","[{'lang': 'eng', 'subject': 'Stadiums'}, {'lang': 'eng', 'subject': 'Architectures'}, {'lang': 'eng', 'subject': 'Design'}, {'lang': 'eng', 'subject': 'Technologies'}, {'lang': 'eng', 'subject': 'Sensitization'}]",['6 pages'],['application/pdf']
+10.17178/emaa_ortho-nhd2_hyperfine_b4d17e14,Hyperfine excitation of ortho-NHD2 by para-H2 collisions,"UGA, CNRS, CNRS-INSU, OSUG",2021,en,Dataset,"Please acknowledge the use of EMAA Database by citing the original articles in which the data were published (BibTeX format available), and adding the following sentence in your publication:
+This research has made use of spectroscopic and collisional data from the EMAA database (https://emaa.osug.fr). EMAA is supported by the Observatoire des Sciences de l'Univers de Grenoble (OSUG),Creative Commons Attribution 4.0 International,Data access and use are ruled by the EMAA data policy.",46 hyperfine energy levels / 275 radiative transitions / 990 collisional transitions for para-H2 (10 temperatures in the range 5-50K),mds,True,findable,0,0,0,0,0,2021-11-17T14:01:53.000Z,2021-11-17T14:01:56.000Z,inist.osug,jbru,"target ortho-NHD2,excitationType Hyperfine,collisional excitation,collider.0 para-H2,astrophysics,interstellar medium,comets,circumstellar medium,gas,microwave spectroscopy,infrared spectroscopy,rotational excitation,rovibrational excitation,vibrational excitation,electronic excitation,collisional rate coefficients,fine structure,hyperfine structure","[{'subject': 'target ortho-NHD2', 'subjectScheme': 'main'}, {'subject': 'excitationType Hyperfine', 'subjectScheme': 'main'}, {'subject': 'collisional excitation', 'subjectScheme': 'main'}, {'subject': 'collider.0 para-H2', 'subjectScheme': 'var'}, {'subject': 'astrophysics', 'subjectScheme': 'var'}, {'subject': 'interstellar medium', 'subjectScheme': 'var'}, {'subject': 'comets', 'subjectScheme': 'var'}, {'subject': 'circumstellar medium', 'subjectScheme': 'var'}, {'subject': 'gas', 'subjectScheme': 'var'}, {'subject': 'microwave spectroscopy', 'subjectScheme': 'var'}, {'subject': 'infrared spectroscopy', 'subjectScheme': 'var'}, {'subject': 'rotational excitation', 'subjectScheme': 'var'}, {'subject': 'rovibrational excitation', 'subjectScheme': 'var'}, {'subject': 'vibrational excitation', 'subjectScheme': 'var'}, {'subject': 'electronic excitation', 'subjectScheme': 'var'}, {'subject': 'collisional rate coefficients', 'subjectScheme': 'var'}, {'subject': 'fine structure', 'subjectScheme': 'var'}, {'subject': 'hyperfine structure', 'subjectScheme': 'var'}]",,['Radex']
+10.48537/hal-03220378,Through the Ambiguous Objects of Benjaminian Thought: Politics and Affect in Design of Heritage Architecture,Reseau International Ambiances,2020,en,Text,Creative Commons Attribution Non Commercial No Derivatives 2.0 Generic,"There is a poetic force initially created by a desire to recontextualize the image of war through architectural atmo- spheres enabled by panorama2. This research reconstructs and deconstructs discourses that understand architecture as affect, but also illuminates the narrative approach with the aim to speculate experience of affect as meaning making in design of heritage architecture. By inscribing heritage architecture into the register of ambiguous objects of Benjaminian thought, I will contemplate the Gaza war case (2014) and the Böttcherstraße project in Bremen (1922-1931).",mds,True,findable,0,0,0,0,0,2021-06-17T16:48:09.000Z,2021-06-17T16:48:10.000Z,jbru.aau,jbru,"Heritage Architecture,Dialectical Image,Affect,Historical Experience","[{'lang': 'eng', 'subject': 'Heritage Architecture'}, {'lang': 'eng', 'subject': 'Dialectical Image'}, {'lang': 'eng', 'subject': 'Affect'}, {'lang': 'eng', 'subject': 'Historical Experience'}]",['6 pages'],['application/pdf']
+10.48537/hal-03220341,"MAG, Material Atmosphere Gravity",Reseau International Ambiances,2020,en,Text,Creative Commons Attribution Non Commercial No Derivatives 2.0 Generic,"This essay reflects on ephemeral artistic practices in the contemporary city and their critical capacities in the face of the alienation, insecurity and fear that we feel in the public space. We live in an atmosphere of anguish in today’s liquid society. Our relation- ship with the Media, mainly digital, with the public space and with knowledge, is mediated by an ‘economy of attention’, which reduces space by expanding time. How do architects and artists answer these questions? Based on artistic interventions in the urban space, we intend to verify how their approaches/installa- tions contribute to critical thinking in the face of contemporary environmental, political and social circumstances.",mds,True,findable,0,0,0,0,0,2021-06-17T16:47:38.000Z,2021-06-17T16:47:39.000Z,jbru.aau,jbru,"Urban,Art,Atmosphere,Installation,Architecture,FOS: Civil engineering,Ephemeral,Landscape","[{'lang': 'eng', 'subject': 'Urban'}, {'lang': 'eng', 'subject': 'Art'}, {'lang': 'eng', 'subject': 'Atmosphere'}, {'lang': 'eng', 'subject': 'Installation'}, {'lang': 'eng', 'subject': 'Architecture'}, {'subject': 'FOS: Civil engineering', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'lang': 'eng', 'subject': 'Ephemeral'}, {'lang': 'eng', 'subject': 'Landscape'}]",['6 pages'],['application/pdf']
10.5281/zenodo.7993122,"Nano bubbles: how, when and why does science fail to correct itself?",Zenodo,2023,en,Other,"Creative Commons Attribution 4.0 International,Open Access","<em>The document is the part B2a (State-of-the-art and objectives) and B2b (Methodology</em>) <em>of the NanoBubbles ERC Synergy grant application submitted 05/11/2019 for the ERC-2020-SyG call. It was funded and started on 01/06/2021. The abstract of the submitted proposal is copied below.</em> Science relies on the correction of errors to advance, yet in practice scientists find it difficult to erase erroneous and exaggerated claims from the scientific record. Recent discussion of a “replication crisis†has impaired trust in science both among scientists and non-scientists; yet we know little about how non-replicated or even fraudulent claims can be removed from the scientific record. This project combines approaches from the natural, engineering, and social sciences and the humanities (Science and Technology Studies) to understand how error correction in science works and what obstacles it faces, and stages events for scientists to reflect on error and overpromising.<br> The project’s focus is nanobiology, a highly interdisciplinary field founded around the year 2000 that has already seen multiple episodes of overpromising and promotion of erroneous claims. We examine three such “bubblesâ€: the claim that nanoparticles can cross the blood-brain barrier; that nanoparticles can penetrate the cell membrane; and the promotion of the “protein corona†concept to describe ordinary adsorption of proteins on nanoparticles. Findings based on error (non)correction in nanobiology should be generalizable to other new, highly interdisciplinary fields such as synthetic biology and artificial intelligence.<br> We trace claims and corrections in various channels of scientific communication (journals, social media, advertisements, conference programs, etc.) via innovative digital methods. We examine error (non)correction practices in scientific conferences via ethnographic participant-observation. We follow the history of conferences, journals, and other sites of error (non)correction from the 1970s (before nanobio per se existed) to the present. And we attempt to replicate nanobiological claims and, in case of non-replication, document obstacles to correcting those claims. Finally, we will spark a dialogue within the nanobiology community by organizing workshops and events at conferences for practitioners. Through the study and practice of nanobiology, we will analyse how, when and why science fails to correct itself, and explore ways to improve the reliability and efficiency of the scientific process.",mds,True,findable,0,0,0,0,0,2023-06-02T11:21:01.000Z,2023-06-02T11:24:51.000Z,cern.zenodo,cern,"Grant application,ERC Synergy,Machine learning,Science and technology studies,History of science, medicine and technologies,Nanobiotechnology,Statistical data processing,Digital social research","[{'subject': 'Grant application'}, {'subject': 'ERC Synergy'}, {'subject': 'Machine learning'}, {'subject': 'Science and technology studies'}, {'subject': 'History of science, medicine and technologies'}, {'subject': 'Nanobiotechnology'}, {'subject': 'Statistical data processing'}, {'subject': 'Digital social research'}]",,
-10.5281/zenodo.7795898,Calibration methodology of low-costs sensors for high-quality monitoring of fine particulate matter,Zenodo,2023,,Software,"Creative Commons Attribution 4.0 International,Embargoed Access","This repository contains the code used to extract dusts as mentioned in the manuscript “Calibration methodology of low-costs sensors for high-quality monitoring of fine particulate matterâ€. Important preliminary steps : 1. If you don't have a CDS account, register here : https://cds.climate.copernicus.eu/user/register?destination=%2F%23!%2Fhome<br> 2. follow all instructions here : https://cds.climate.copernicus.eu/api-how-to<br> (as explained, you should install cdsapi and the CDS API key) Documentation for the dataset here: https://ads.atmosphere.copernicus.eu/cdsapp#!/dataset/cams-europe-air-quality-forecasts?tab=overview In case of issue downloading data, it is recommended to make a larger number of requests with smaller date ranges. Credits : Météo-France, Institut National de l'Environnement Industriel et des Risques (Ineris), Aarhus University, Norwegian Meteorological Institute (MET Norway), Jülich Institut für Energie- und Klimaforschung (IEK), Institute of Environmental Protection – National Research Institute (IEP-NRI), Koninklijk Nederlands Meteorologisch Instituut (KNMI), Nederlandse Organisatie voor toegepast-natuurwetenschappelijk onderzoek (TNO), Swedish Meteorological and Hydrological Institute (SMHI), Finnish Meteorological Institute (FMI), 2020. CAMS European air quality forecasts, ENSEMBLE data. Copernicus Atmosphere Monitoring Service (CAMS) Atmosphere Data Store (ADS). https://ads.atmosphere.copernicus.eu/cdsapp#!/dataset/cams-europe-air-quality-forecasts?tab=overview (accessed 2023.04.03).",mds,True,findable,0,0,0,0,0,2023-04-04T07:42:59.000Z,2023-04-04T07:43:30.000Z,cern.zenodo,cern,"PM1,PM2.5,PM10,sensors calibration,dusts,machine learning","[{'subject': 'PM1'}, {'subject': 'PM2.5'}, {'subject': 'PM10'}, {'subject': 'sensors calibration'}, {'subject': 'dusts'}, {'subject': 'machine learning'}]",,
-10.57745/5o6qih,The EVE Pilot: Usage Data from an Electric Car in France,Recherche Data Gouv,2023,,Dataset,,"This dataset contains the usage data of a single electric car collected in as part of the EVE study (Enquête des Vehicles Electrique) run by the Observatoire du Transition Energétique Grenoble (OTE-UGA). This dataset includes the following variables for a single Renault ZOE 2014 Q90: - Speed, distance covered, and other drivetrain data variables; - State of charge, State of health and other battery characteristics; as well as - external temperature variables. The Renault ZOE 2014 Q90 has a battery capacity of 22 KWh and a maximum speed of 135 KM/h. More information about on the specifications can be found here The electric car is used for personal use exclusively including occasional transit to work but mostly for personal errands and trips. The dataset was collected using a CanZE app and a generic car lighter dongle. The dataset spans two years from October 2020 to August 2022. A simple Python notebook that visualises the datasets can be found here. More complex usecases for the datasets can be found in the following links: - Comparison of the carbon footprint of driving across countries: link - Feedback indicators of electric car charging behaviours: link There is also more information on the collection process and other potential uses in the data paper here. Please don't hesitate to contact the authors if you have any further questions about the dataset.",mds,True,findable,33,0,0,0,0,2023-08-31T07:08:06.000Z,2023-10-13T07:32:19.000Z,rdg.prod,rdg,,,,
-10.15778/resif.fr,"RESIF-RLBP French Broad-band network, RESIF-RAP strong motion network and other seismic stations in metropolitan France",RESIF - Réseau Sismologique et géodésique Français,1995,en,Dataset,"Open Access,Creative Commons Attribution 4.0 International","The FR network code embraces most of the permanent seismic stations installed in metropolitan France and operated by academic research institutes and observatories. In 2014, it includes 1) about fifty broadband stations of the RLBP (Réseau Large Bande Permanent) network, 2) about fourty short period stations of the historical RéNaSS (Réseau National de Surveillance Sismique) network, 3) six broadband stations installaed at the LSBB -low noise underground multidisciplinary laboratory-, 4) some broadband stations on landslides managed by OMIV (Observatoire Multidiciplinaire des Instabilités de Versants) and 5) the ANTARES seafloor broadband station in the Ligurian sea. Some of these broadband stations also host a strong motion sensor of the RAP French strong motion network. Broadband stations of the RLBP are part of the national RESIF (Réseau Sismologique et géodésique Français) Research Infrastructure. Within this framework, this network is planned to evolve toward a denser and more homogeneous network of ~150 broadband stations by 2018. Each broadband station is equipped with a wide band seismic sensor, usually having a flat response at periods lower than 120s, and a high dynamic acquisition system. Data are collected in near real-time via DSL, satellite or cellar links. Emphasis is put on the continuity of the records and the noise level at the sites to provide high-quality data to the end users. The RESIF Information System manages the data from the broadband stations and collocated accelerometers and freely provides both real time and consolidated data. Quality control of waveforms and metadata updating are performed by EOST (Strasbourg) and OCA (Nice) for the RLBP, RéNaSS, LSSB and ANTARES stations and by OSUG (Grenoble) for the OMIV and RAP stations. Archiving and distribution of every data are carried out by the RESIF datacentre hosted by the University of Grenoble Alpes. Data from short period stations are expected to integrate the system in 2015. All together, these data are used for a wide variety of fundamental and applied studies including seismic imaging of the deep earth, monitoring of the seismic activity in metropolitan France and adjacent regions, source studies of local, regional and teleseismic earthquakes or monitoring of seismic signals related to subsurface processes.",mds,True,findable,0,0,0,25,0,2014-12-05T15:20:35.000Z,2014-12-05T15:20:35.000Z,inist.resif,vcob,"Broad Band,Short Period,Strong motion,France","[{'subject': 'Broad Band'}, {'subject': 'Short Period'}, {'subject': 'Strong motion'}, {'subject': 'France'}]",['Approximately 155 active stations; greater than 7.5 GB/day.'],"['Miniseed data', 'stationXML metadata']"
-10.5281/zenodo.4761291,"Figs. 4-5 in Two New Species Of Dictyogenus Klapálek, 1904 (Plecoptera: Perlodidae) From The Jura Mountains Of France And Switzerland, And From The French Vercors And Chartreuse Massifs",Zenodo,2019,,Image,"Creative Commons Attribution 4.0 International,Open Access","Figs. 4-5. Dictyogenus jurassicum sp. n., adult male. 4. Hemitergal lobe, lateral view. Karstic spring at Charabotte Mill, Ain dpt, France. Photo B. Launay. 5. Epiproct and lateral stylet, lateral view. Karstic spring at Charabotte Mill, Ain dpt, France. Photo B. Launay.",mds,True,findable,0,0,4,0,0,2021-05-14T07:43:23.000Z,2021-05-14T07:43:24.000Z,cern.zenodo,cern,"Biodiversity,Taxonomy,Animalia,Arthropoda,Insecta,Plecoptera,Perlodidae,Dictyogenus","[{'subject': 'Biodiversity'}, {'subject': 'Taxonomy'}, {'subject': 'Animalia'}, {'subject': 'Arthropoda'}, {'subject': 'Insecta'}, {'subject': 'Plecoptera'}, {'subject': 'Perlodidae'}, {'subject': 'Dictyogenus'}]",,
-10.5281/zenodo.10069276,The Effect of Typing Efficiency and Suggestion Accuracy on Usage of Word Suggestions and Entry Speed,Zenodo,2023,en,Dataset,Creative Commons Attribution 4.0 International,"Data collected during our experiments investigating the effect of suggestion accuracy and typing efficiency on usage of word suggestions, and entry speed",api,True,findable,0,0,0,0,0,2023-11-03T12:54:50.000Z,2023-11-03T12:54:50.000Z,cern.zenodo,cern,"writing,word suggestions","[{'subject': 'writing'}, {'subject': 'word suggestions'}]",,
-10.5281/zenodo.1475271,SPARK_Artefice_session_05072017_Grenoble,Zenodo,2018,en,Audiovisual,"Creative Commons Attribution Non Commercial 4.0 International,Open Access","Recording of a collaborative design session between designers and clients.
+10.5281/zenodo.10341149,Chamois-CompCert with security features described in Monniaux / CPP 2024,Zenodo,2023,en,Software,INRIA Non-Commercial License Agreement,,api,True,findable,0,0,0,0,0,2023-12-10T18:08:43.000Z,2023-12-10T18:08:43.000Z,cern.zenodo,cern,"formally-verified compiler,Coq,software security,canaries,pointer authentication,CompCert,buffer overflow,tail-recursion elimination,compiler optimizations","[{'subject': 'formally-verified compiler'}, {'subject': 'Coq'}, {'subject': 'software security'}, {'subject': 'canaries'}, {'subject': 'pointer authentication'}, {'subject': 'CompCert'}, {'subject': 'buffer overflow'}, {'subject': 'tail-recursion elimination'}, {'subject': 'compiler optimizations'}]",,
+10.5281/zenodo.10165853,Thickness map of the Patagonian Icefields,Zenodo,2023,en,Dataset,Creative Commons Attribution 4.0 International,"Ice thickness field for the Patagonian icefields relying on mass-conservation approach, which assimilates both glacier retreat data as well as an abundant record of direct thickness measurements. The thickness map has a time stamp of 2000. This map is provided together with error estimates and the basal topography beneath the icefields based on c-SRTM (v2.1) (Farr, T. et al. The Shuttle Radar Topography Mission. Reviews of Geophysics 45 (2007), http://dx.doi.org/10.1029/2005RG000183.)",api,True,findable,0,0,0,0,0,2023-11-21T10:31:13.000Z,2023-11-21T10:31:14.000Z,cern.zenodo,cern,"Patagonia,glacier,icefield,thickness","[{'subject': 'Patagonia'}, {'subject': 'glacier'}, {'subject': 'icefield'}, {'subject': 'thickness'}]",,
+10.5281/zenodo.8101891,"Data and code for publication ""The stability of present-day Antarctic grounding lines - Part B""",Zenodo,2023,,Dataset,"Creative Commons Attribution 4.0 International,Open Access","Data and code for the publication ""The stability of present-day Antarctic grounding lines – Part B: Onset of irreversible retreat of Amundsen Sea glaciers under current climate on centennial timescales cannot be excluded"" in The Cryosphere. Zip files contain data, python notebooks for analysis and PISM code. Please contact ronja.reese@northumbria.ac.uk if you have any further questions.",mds,True,findable,0,0,0,2,0,2023-07-03T17:51:58.000Z,2023-07-03T17:51:58.000Z,cern.zenodo,cern,,,,
+10.5281/zenodo.8314813,"Supplementary data for ""Ecological assessment of combined sewer overflow management practices through the analysis of benthic and hyporheic sediment bacterial assemblages of an intermittent stream""",Zenodo,2022,en,Dataset,"Creative Commons Attribution 4.0 International,Embargoed Access","<strong>Supplementary data for the Pozzi <em>et al.</em> paper entitled ""Ecological assessment of combined sewer overflow management practices through the analysis of benthic and hyporheic microbial assemblages and a tracking of exogenous bacterial taxa in a peri-urban intermittent stream"".</strong> # Created by Dr Adrien C. MEYNIER POZZI on June, 29th, 2023<br> # Part of DOmic research project funded by the Agence de l’Eau - Rhône Méditerranée Corse [AE-RMC, Project 2020 0702 DOmic, 2020-2023], and of the DOmic extension funded by the EUR H2O'Lyon [ANR-17-EURE-0018] of Université de Lyon<br> # Part of the Chaudanne river long-term experiment site belonging to the Observatoire de Terrain en Hydrologie Urbaine (OTHU)<br> # Part of the work conducted in the team on Opportinistic Bacterial Pathogen in the Environment (BPOE) led by Dr. Benoit Cournoyer<br> # Samples were obtained in 2 campaigns, corresponding to periods before (2010-2011) or after (2018) the implementation of the 91/271/EEC European Directive that limited Combined-Sewer Overflow (CSO) discharges to the Chaudanne river<br> # Samples consisted in surface water, benthic and hyporheic sediments taken in run, riffle and pool geomorphologic features, either upstream or downstream the CSO outlet, plus positive and negative controls <strong>Metadata. Name and description of data tables provided as supplementary information</strong> <strong>Data Name</strong> <strong>Description</strong> Data S1. River hydrology variables and hydraulic gradients at surveyed transects Array to describe the hydrologic variables and gradients at the studied transects. Top line is header, second line is metadata for each recorded variable, and third line is the unit of the variable, if any. Data S2. Environmental variables (water physical-chemistry, nutrients, FIBs, MTEs, PAHs) with metadata An array to list environmental variables for all true samples (n=90) included in the study. Sample identifiers and dates are provided. First 8 rows list the CAS number, SANDRE number, unit, method, limit of quantification and norm for each variable, if any. Data S3. Hydrological indices and synthetic variables computed with ClustOfVar Hydrological indices computed for the river flow, precipitations and CSO overflows computed over a 3-week period preceding each sampling date. Data S4. Discharge events selected to compute CSO dilution ratios An array to describe CSO events included for the computation of the CSO dilution ratio (SI Data 6A) together with 6 tables and 3 figures (SI Data 6B to 6J) describing the CSO event ratio all year round over the studied period, as well as for events that occurred before or after the CSO was modified and during low flow or high flow season. In SI Data 6A, top line is header and second line is metadata for each recorded variable. Data S5. Raw environmental matrix for use in R An array to list experimental design and environmental variables for all true samples and controls. Several environmental variables were synthetized using the ClustOfVar method (Chavent et al (2012) 10.18637/jss.v050.i13). Format is directly usable in R software.",mds,True,findable,0,0,0,0,0,2023-09-04T10:16:14.000Z,2023-09-04T10:16:14.000Z,cern.zenodo,cern,"intermittent stream,fluvial geomorphology,hydrology,microbiology,chemical pollutants,Combined-Sewer Overflow","[{'subject': 'intermittent stream'}, {'subject': 'fluvial geomorphology'}, {'subject': 'hydrology'}, {'subject': 'microbiology'}, {'subject': 'chemical pollutants'}, {'subject': 'Combined-Sewer Overflow'}]",,
+10.17178/cryobsclim.cdp.2018.soil,"Col de Porte, Soil properties",CNRS - OSUG - Meteo France,2008,en,Dataset,"Data access and use are ruled by the CRYOBS-CLIM data policy.,Always quote below citation to Lejeune et al. (2019) when using data.
+ Lejeune, Y., Dumont, M., Panel J.-M., Lafaysse, M., Lapalus, P., Le Gac, E., Lesaffre, B. and Morin, S., 57 years (1960-2017) of snow and meteorological observations from a mid-altitude mountain site (Col de Porte, France, 1325 m alt.), Earth System Science Data, 11(2019), 71-88, https://doi.org/10.5194/essd-11-71-2019. The following acknowledging sentence should appear in publications using Cryobs-Clim-CDP data and products: ""Cryobs-Clim Col de Porte is funded by Meteo France, the Institut National des Sciences de l’Univers (INSU/CNRS), and the Observatoire des Sciences de l’Univers de Grenoble (OSUG / Université Grenoble Alpes)â€. You are invited to contact the PI(s) or lead scientist for more information about the data and to include the acknowledgement sentence in any publication using the data.","This dataset is part of the Cryobs-Clim-CDP (CRYosphere, an OBServatory of the CLIMate – Col de Porte) observatory",mds,True,findable,0,0,1,0,0,2018-07-19T07:26:38.000Z,2018-07-19T07:28:08.000Z,inist.osug,jbru,Soil properties,"[{'subject': 'Soil properties', 'subjectScheme': 'main'}]",,['CSV']
+10.18709/perscido.2023.02.ds382,Championship Value Prediction 1 Public Traces,PerSCiDO,2023,,Dataset,,"The following traces are 135 ""public"" execution traces that were generated for the Championship Value Prediction 1 (https://www.microarch.org/cvp1/cvp1online/contestants.html) that took place with the IEEE/ACM International Symposium on Computer Architecture (ISCA) 2018. There traces contain instructions executed by ARMv8 workloads of interest to CPU design. The traces only contain partial information and are anonymized, in the sense that the program from which a given trace was generated is not available. All traces used in CVP-1 were released to the public domain after CVP-1.
-A design company receives its clients to discuss/contribute/co-design together. They develop new graphical layout options for the packaging of a tomato sauce product using an ICT application based on Spatial Augmented Reality, which allows for a real-time modification. Language: English.",mds,True,findable,0,0,0,0,0,2018-10-31T09:52:51.000Z,2018-10-31T09:52:52.000Z,cern.zenodo,cern,"SPARK,H2020,Collaborative design,Co-design,Spatial Augmented Reality,Augmented Reality,Mixed prototype,Creativity,ICT","[{'subject': 'SPARK'}, {'subject': 'H2020'}, {'subject': 'Collaborative design'}, {'subject': 'Co-design'}, {'subject': 'Spatial Augmented Reality'}, {'subject': 'Augmented Reality'}, {'subject': 'Mixed prototype'}, {'subject': 'Creativity'}, {'subject': 'ICT'}]",,
-10.5061/dryad.brv15dvcj,The generality of cryptic dietary niche differences in diverse large-herbivore assemblages,Dryad,2022,en,Dataset,Creative Commons Zero v1.0 Universal,"Ecological niche differences are necessary for stable species coexistence but are often difficult to discern. Models of dietary niche differentiation in large mammalian herbivores invoke the quality, quantity, and spatiotemporal distribution of plant tissues and growth-forms but are agnostic towards food-plant species identity. Empirical support for these models is variable, suggesting that additional mechanisms of resource partitioning may be important in sustaining large-herbivore diversity in African savannas. We used DNA metabarcoding to conduct a taxonomically explicit analysis of large-herbivore diets across southeastern Africa, analyzing ~4,000 fecal samples of 30 species from 10 sites in 7 countries over 6 years. We detected 893 food-plant taxa from 124 families, but just two families—grasses and legumes—accounted for the majority of herbivore diets. Nonetheless, herbivore species almost invariably partitioned food-plant taxa; diet composition differed significantly in 97% of pairwise comparisons between sympatric species, and dissimilarity was pronounced even between the strictest grazers (grass eaters), strictest browsers (non-grass eaters), and closest relatives at each site. Niche differentiation was weakest in an ecosystem recovering from catastrophic defaunation, indicating that food-plant partitioning is driven by species interactions, and stronger at low rainfall, as expected if interspecific competition is a predominant driver. Diets differed more between browsers than grazers, which predictably shaped community organization: grazer-dominated trophic networks had higher nestedness and lower modularity. That dietary differentiation is structured along taxonomic lines complements prior work on how herbivores partition plant parts and patches and suggests that common mechanisms govern herbivore coexistence and community assembly in savannas.",mds,True,findable,242,43,0,1,0,2022-08-08T16:58:42.000Z,2022-08-08T16:58:43.000Z,dryad.dryad,dryad,"FOS: Biological sciences,FOS: Biological sciences,African savannas,large herbivores,food webs,Resource partitioning,dietary niche,niche partitioning,species coextistence,optimal foraging,niche differences,niche differentiation,DNA metabarcoding,DNA barcoding,fecal samples,ecological networks,ecological network analysis,African ungulates,African elephant (Loxodonta africana),dik-dik (Madoqua guentheri),klipspringer (Oreotragus oreotragus),common duiker (Sylvicapra grimmia),oribi (Ourebia ourebi),Thomson's gazelle (Eudorcas thomsonii),Cape bushbuck (Tragelaphus sylvaticus),impala (Aepyceros melampus),Grant's gazelle (Nanger grant),southern reedbuck (Redunca aurundinum),puku (Kobus vardonii),warthog (Phacochoerus africanus),nyala (Tragelaphus angasii),topi (Damaliscus lunatus),bushpig (Potamochoerus larvatus),Hartebeest (Alcelaphus buselaphus),blue wildebeest (Connochaetes taurinus),East African oryx (Oryx beisa),waterbuck (Kobus ellipsiprymnus),greater kudu (Tragelaphus strepsiceros),sable antelope (Hippotragus niger),roan antelope (Hippotragus equinus),plains zebra (Equus quagga),Grevy's zebra (Equus grevyi),common eland (Tragelaphus oryx),Cape buffalo (Syncerus caffer),giraffe (Giraffa camelopardalis),black rhinoceros (Diceros bicornis),hippopotamus (Hippopotamus amphibius),white rhinoceros (Ceratotherium simum),Mpala Research Center,Laikipia,Kenya,Serengeti-Mara Ecosystem,Serengeti National Park,Nyika National Park,Tanzania,Malawi,Niassa National Reserve,Mozambique,Hwange National Park,Zimbabwe,Kafue National Park,Zambia,Gorongosa National Park,Kruger National Park,South Africa,Addo Elephant National Park,Modern coexistence theory,Species interactions,competition,diet selection,grasses (Poaceae),legumes (Fabaceae),grazing mammals,browsing mammals,mixed feeders,environmental DNA sequencing (eDNA sequencing),taxonomic dietary diversity,dietary plasticity,Food-web structure,network rewiring,nestedness and modularity,functional redundancy,functional complementarity,rangelands","[{'subject': 'FOS: Biological sciences', 'subjectScheme': 'fos'}, {'subject': 'FOS: Biological sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'African savannas'}, {'subject': 'large herbivores'}, {'subject': 'food webs'}, {'subject': 'Resource partitioning'}, {'subject': 'dietary niche'}, {'subject': 'niche partitioning'}, {'subject': 'species coextistence'}, {'subject': 'optimal foraging'}, {'subject': 'niche differences'}, {'subject': 'niche differentiation'}, {'subject': 'DNA metabarcoding'}, {'subject': 'DNA barcoding', 'schemeUri': 'https://github.com/PLOS/plos-thesaurus', 'subjectScheme': 'PLOS Subject Area Thesaurus'}, {'subject': 'fecal samples'}, {'subject': 'ecological networks'}, {'subject': 'ecological network analysis'}, {'subject': 'African ungulates'}, {'subject': 'African elephant (Loxodonta africana)'}, {'subject': 'dik-dik (Madoqua guentheri)'}, {'subject': 'klipspringer (Oreotragus oreotragus)'}, {'subject': 'common duiker (Sylvicapra grimmia)'}, {'subject': 'oribi (Ourebia ourebi)'}, {'subject': ""Thomson's gazelle (Eudorcas thomsonii)""}, {'subject': 'Cape bushbuck (Tragelaphus sylvaticus)'}, {'subject': 'impala (Aepyceros melampus)'}, {'subject': ""Grant's gazelle (Nanger grant)""}, {'subject': 'southern reedbuck (Redunca aurundinum)'}, {'subject': 'puku (Kobus vardonii)'}, {'subject': 'warthog (Phacochoerus africanus)'}, {'subject': 'nyala (Tragelaphus angasii)'}, {'subject': 'topi (Damaliscus lunatus)'}, {'subject': 'bushpig (Potamochoerus larvatus)'}, {'subject': 'Hartebeest (Alcelaphus buselaphus)'}, {'subject': 'blue wildebeest (Connochaetes taurinus)'}, {'subject': 'East African oryx (Oryx beisa)'}, {'subject': 'waterbuck (Kobus ellipsiprymnus)'}, {'subject': 'greater kudu (Tragelaphus strepsiceros)'}, {'subject': 'sable antelope (Hippotragus niger)'}, {'subject': 'roan antelope (Hippotragus equinus)'}, {'subject': 'plains zebra (Equus quagga)'}, {'subject': ""Grevy's zebra (Equus grevyi)""}, {'subject': 'common eland (Tragelaphus oryx)'}, {'subject': 'Cape buffalo (Syncerus caffer)'}, {'subject': 'giraffe (Giraffa camelopardalis)'}, {'subject': 'black rhinoceros (Diceros bicornis)'}, {'subject': 'hippopotamus (Hippopotamus amphibius)'}, {'subject': 'white rhinoceros (Ceratotherium simum)'}, {'subject': 'Mpala Research Center'}, {'subject': 'Laikipia'}, {'subject': 'Kenya', 'schemeUri': 'https://github.com/PLOS/plos-thesaurus', 'subjectScheme': 'PLOS Subject Area Thesaurus'}, {'subject': 'Serengeti-Mara Ecosystem'}, {'subject': 'Serengeti National Park'}, {'subject': 'Nyika National Park'}, {'subject': 'Tanzania', 'schemeUri': 'https://github.com/PLOS/plos-thesaurus', 'subjectScheme': 'PLOS Subject Area Thesaurus'}, {'subject': 'Malawi', 'schemeUri': 'https://github.com/PLOS/plos-thesaurus', 'subjectScheme': 'PLOS Subject Area Thesaurus'}, {'subject': 'Niassa National Reserve'}, {'subject': 'Mozambique', 'schemeUri': 'https://github.com/PLOS/plos-thesaurus', 'subjectScheme': 'PLOS Subject Area Thesaurus'}, {'subject': 'Hwange National Park'}, {'subject': 'Zimbabwe', 'schemeUri': 'https://github.com/PLOS/plos-thesaurus', 'subjectScheme': 'PLOS Subject Area Thesaurus'}, {'subject': 'Kafue National Park'}, {'subject': 'Zambia', 'schemeUri': 'https://github.com/PLOS/plos-thesaurus', 'subjectScheme': 'PLOS Subject Area Thesaurus'}, {'subject': 'Gorongosa National Park'}, {'subject': 'Kruger National Park'}, {'subject': 'South Africa', 'schemeUri': 'https://github.com/PLOS/plos-thesaurus', 'subjectScheme': 'PLOS Subject Area Thesaurus'}, {'subject': 'Addo Elephant National Park'}, {'subject': 'Modern coexistence theory'}, {'subject': 'Species interactions', 'schemeUri': 'https://github.com/PLOS/plos-thesaurus', 'subjectScheme': 'PLOS Subject Area Thesaurus'}, {'subject': 'competition'}, {'subject': 'diet selection'}, {'subject': 'grasses (Poaceae)'}, {'subject': 'legumes (Fabaceae)'}, {'subject': 'grazing mammals'}, {'subject': 'browsing mammals'}, {'subject': 'mixed feeders'}, {'subject': 'environmental DNA sequencing (eDNA sequencing)'}, {'subject': 'taxonomic dietary diversity'}, {'subject': 'dietary plasticity'}, {'subject': 'Food-web structure'}, {'subject': 'network rewiring'}, {'subject': 'nestedness and modularity'}, {'subject': 'functional redundancy'}, {'subject': 'functional complementarity'}, {'subject': 'rangelands'}]",['465555599 bytes'],
-10.5281/zenodo.7755650,"Catalog of icequakes recorded in March 2019, in the Van Mijen Fjord, in Svalbard (Norway)",Zenodo,2023,,Dataset,"Creative Commons Attribution 4.0 International,Open Access","The files contain a catalog of icequakes waveforms recorded in March 2019, at Vallunden lake, in the Van Mijen Fjord, in Svalbard (Norway). The three components of velocity are available.",mds,True,findable,0,0,0,0,0,2023-03-21T09:43:11.000Z,2023-03-21T09:43:11.000Z,cern.zenodo,cern,,,,
-10.5281/zenodo.4761355,"Figs. 88-91. Dictyogenus fontium species complex, egg characteristics. 88 in Two New Species Of Dictyogenus Klapálek, 1904 (Plecoptera: Perlodidae) From The Jura Mountains Of France And Switzerland, And From The French Vercors And Chartreuse Massifs",Zenodo,2019,,Image,"Creative Commons Attribution 4.0 International,Open Access","Figs. 88-91. Dictyogenus fontium species complex, egg characteristics. 88. Egg, upper view from one ridge with two faces and the anchor visible. Gougra, Val de Moiry, inner-Alpine upper Rhône Valley, canton of Valais, Switzerland. 89. Egg, upper view from one ridge with two faces and the anchor visible. Campello",mds,True,findable,0,0,0,0,0,2021-05-14T07:52:31.000Z,2021-05-14T07:52:32.000Z,cern.zenodo,cern,"Biodiversity,Taxonomy","[{'subject': 'Biodiversity'}, {'subject': 'Taxonomy'}]",,
-10.57745/lpj2s2,GNSS position solutions in Japan,Recherche Data Gouv,2022,,Dataset,,"This dataset includes solutions processed by ISTerre for all Japanese GNSS stations. These products are daily position time series (North, East and Vertical), in the ITRF14 reference frame, calculated from RINEX files using the double difference method with GAMIT software.",mds,True,findable,192,10,0,0,0,2022-06-23T09:59:39.000Z,2022-07-06T12:38:55.000Z,rdg.prod,rdg,,,,
-10.5281/zenodo.4305970,DEM simulations of bi-disperse beds during bedload transport,Zenodo,2020,en,Dataset,"Creative Commons Attribution 4.0 International,Open Access","This depository contains the data of all DEM simulations used in the publication Chassagne, R., Frey, P., Maurin, R., and Chauchat, J. Mobility of bidisperse mixtures during bedload transport. Physical Review Fluids, 5(11):114307. doi:10.1103/PhysRevFluids.5.114307, as well as post processing scripts to use the data. The simulations are located in seven folders, Monodisperse/ (mondisperse simulations where the fluid forcing is varied), N0.5/ (simulations with 0.5 layer of large particles above a small particle bed and or different fluid forcing), N1/ (simulations with 1 layer of large particles above a small particle bed and or different fluid forcing), N2/, N3/, N4/ and sizeRatio (2 layers of large particles, fixed fluid forcing but the diameter of the underlying small particles is varied). The data of each simulations are contained in separate subfolders named after the simulation. For example, H8Sh0.45/ corresponds to a monodisperse simulation with a bedheight of 8dl (dl is the large particle diameter) and a shields number of 0.45. H10N2R2Sh0.7/ corresponds to a bidisperse simulation with a bed height of 10dl, 2 layers of large particles, a size ratio of 2 between large and small particles and a shields number of 0.7. For each simulation, the time data are saved in data.hdf5 and averaged data in average.hdf5. A GeomParam.txt file is also in each folder. It contains information of the simulation that the post processing programm will read. The python script used to initiate the YADE-DEM simulation is also given for information (it contains all parameters of the simulation). The post-processing programm has been coded in python2.7 with an oriented-object procedure. The h5py package is necessary to read the .hdf5 files. The scripts do not work in python3, but can be very easily adapted if necessary (you only have to modify the ""print"" functions). The scripts are available in ScriptsPP/ and are organized as follow. For bidisperse simualtions, a mother class in SegregationPP and two child classes SegFull (to load the full time data set) and SegMean (to load only average data). For monodisperse simualtions, a mother class in MonodispersePP and two child classes MonoFull (to load the full time data set) and MonoMean (to load only average data). Two scripts examplePP1.py and examplePP2.py are proposed and show how to manipulate theses classes and the data.",mds,True,findable,0,0,1,0,0,2020-12-04T14:23:08.000Z,2020-12-04T14:23:09.000Z,cern.zenodo,cern,"Granular flow,Sediment transport,Bi-disperse mobility,Coupled fluid-DEM simulations","[{'subject': 'Granular flow'}, {'subject': 'Sediment transport'}, {'subject': 'Bi-disperse mobility'}, {'subject': 'Coupled fluid-DEM simulations'}]",,
-10.5281/zenodo.7790110,Oxygen-induced chromophore degradation in the photoswitchable red fluorescent protein rsCherry,Zenodo,2023,en,Dataset,"Creative Commons Attribution 4.0 International,Open Access","Source data for figure 1, figure 3a, and supplementary figure 1.",mds,True,findable,0,0,0,0,0,2023-03-31T21:37:12.000Z,2023-03-31T21:37:12.000Z,cern.zenodo,cern,,,,
-10.5281/zenodo.7015277,"Supplemental information data from: ""Evidence for amorphous sulfates as the main carrier of soil hydration in Gale crater, Mars""",Zenodo,2022,,Dataset,"Creative Commons Attribution 4.0 International,Open Access","This dataset includes the target name and chemical composition of each ChemCam sequence used in the above-mentioned article. The quantification for each ChemCam spectrum in the soils of the Bradbury, Rocknest and Yellowknife Bay area are in percentage mass fractions (wt.%) for most major oxides (i.e., SiO2, TiO2, Al2O3, FeOT , MgO, CaO, Na2O, K2O). Sulfur and hydrogen abundances are expressed respectively in peak area (normalized) and ICA H scores.",mds,True,findable,0,0,0,0,0,2022-08-22T16:01:22.000Z,2022-08-22T16:01:22.000Z,cern.zenodo,cern,"Mars,ChemCam,Laser-Induced Breakdown Spectroscopy,Soils","[{'subject': 'Mars'}, {'subject': 'ChemCam'}, {'subject': 'Laser-Induced Breakdown Spectroscopy'}, {'subject': 'Soils'}]",,
-10.5281/zenodo.6380887,"Data from: Protein Conformational Space at the Edge of Allostery: Turning a Non-allosteric Malate Dehydrogenase into an ""Allosterized"" Enzyme using Evolution Guided Punctual Mutations",Zenodo,2022,,Dataset,"Creative Commons Attribution 4.0 International,Open Access","This data accompanies the paper entitled <em>Protein Conformational Space at the Edge of Allostery: Turning a Non-allosteric Malate Dehydrogenase into an “Allosterized†Enzyme using Evolution Guided Punctual Mutations</em> The zip archive contains the results of molecular dynamics simulations of the 4 systems investigated in the paper: wt of A. ful MalDH and three mutants. Each system has been simulated at two temperatures, 300 K and 340 K. Starting configurations of the proteins after equilibration are provided for all the systems in GRO Gromos87 format. Trajectories with the positions of the proteins every 100 ps are provided for all the systems in XTC gromacs format.",mds,True,findable,0,0,0,0,0,2022-03-24T10:53:28.000Z,2022-03-24T10:53:28.000Z,cern.zenodo,cern,,,,
-10.5281/zenodo.7180985,Code and data presented in ICAART 2023,Zenodo,2022,en,Software,"Creative Commons Attribution 4.0 International,Open Access",The code used to obtain the graph presented in the paper.<br> Additional data such as the trust fluctuation of all the agents and the data in CSV format. Read the REAMDE.md for more information.,mds,True,findable,0,0,0,0,0,2022-10-10T11:09:19.000Z,2022-10-10T11:09:19.000Z,cern.zenodo,cern,,,,
-10.5281/zenodo.8225005,Introduction: Extending the reach of English pronunciation issues and practices,Zenodo,2023,en,Other,"Creative Commons Attribution 4.0 International,Open Access","This chapter is the Introduction to the Proceedings of the 7th International Conference English Pronunciation: Issues and Practices (EPIP 7) held May 18–20, 2022 at Université Grenoble-Alpes, France.",mds,True,findable,0,0,0,0,0,2023-08-08T13:50:08.000Z,2023-08-08T13:50:08.000Z,cern.zenodo,cern,English pronunciation,[{'subject': 'English pronunciation'}],,
-10.5281/zenodo.3048780,2_Changri Nup Data,Zenodo,2019,en,Dataset,Restricted Access,"This is the dataset from North Changri Nup (5470 m asl, Everest region) on a debris-covered site in 2015 to 2017. Please look at the metadata file (CN-5470_20152017_AWS_metadata.docx) and the data ""Readme"" file (https://zenodo.org/record/3362374) for more information about the content of the files.",mds,True,findable,4,0,0,0,0,2019-05-20T11:58:06.000Z,2019-05-20T11:58:07.000Z,cern.zenodo,cern,"Changri Nup,Glacier,Debris","[{'subject': 'Changri Nup'}, {'subject': 'Glacier'}, {'subject': 'Debris'}]",,
-10.5281/zenodo.10020967,robertxa/pyVertProf: BIC Release,Zenodo,2023,,Software,Creative Commons Attribution 4.0 International,New release with BIC analysis,api,True,findable,0,0,0,0,0,2023-10-19T08:42:31.000Z,2023-10-19T08:42:31.000Z,cern.zenodo,cern,,,,
-10.5281/zenodo.6505500,ThoFeOne: Python 1D tools for the Thomas-Fermi self-consistent problem,Zenodo,2022,,Software,"BSD 2-Clause FreeBSD License,Open Access",First working version of the simulator. Contains fixed (constant) mesh. See github website for latest version and documentation.,mds,True,findable,0,0,1,0,0,2022-04-29T15:50:07.000Z,2022-04-29T15:50:07.000Z,cern.zenodo,cern,,,,
-10.5281/zenodo.20031,Crystallization And X-Ray Diffraction Studies Of A Complete Bacterial Fatty-Acid Synthase Type I,Zenodo,2015,,Dataset,"Creative Commons Attribution Share-Alike 4.0,Open Access","These are X-ray diffraction data from the publication<br>
-Enderle, M.E, McCarthy, A, Paithankar, K. S, and Grininger, M
+This release contains :
+- ./public_traces : 135 traces containing 30M instructions, known as the ""public traces"" as this is what was released to CVP-1 contestants to develop their model
-Crystallization and X-ray diffraction studies of a complete bacterial fatty-acid synthase type I.
+Additional information about how to use the traces and the trace format is provided in the README.",api,True,findable,0,0,0,0,0,2023-02-10T14:57:24.000Z,2023-02-10T14:57:24.000Z,inist.persyval,vcob,Computer Science,"[{'subject': 'Computer Science', 'subjectScheme': 'http://www.radar-projekt.org/display/Computer_Science'}]",['40000 Mo'],['']
+10.5061/dryad.3bk3j9kph,"Diet composition of moose (Alces alces) in winter, Sweden",Dryad,2023,en,Dataset,Creative Commons Zero v1.0 Universal,"1. Differences in botanical diet compositions among a large number of moose fecal samples collected during winter correlated with the nutritional differences identified in the same samples (Mantel-r = 0.89, p = 0.001), but the nutritional differences were significantly smaller (p < 0.001). 2. Nutritional geometry revealed that moose mixed Scots pine Pinus sylvestris and Vaccinium spp. as nutritionally complementary foods to reach a nutritional target resembling Salix spp. twigs, and selected for Salix spp. browse (Jacob’s D > 0). 3. Available protein (AP) and total non-structural carbohydrates (TNC) were significantly correlated in observed diets but not in hypothetical diets based on food availability. 4. The level of Acetoacetate in moose serum (i.e., ‘starvation’) was weakly negatively associated with digestibility of diets (p = 0.08) and unrelated to increasing AP:TNC and AP:NDF ratios in diets (p > 0.1). 5. Our study is the first to demonstrate complementary feeding in free-ranging moose to attain a nutritional target that has previously been suggested in a feeding trial with captive moose. Our results add support to the hypothesis of nutritional balancing as a driver in the nutritional strategy of moose with implications for both the management of moose and food resources.",mds,True,findable,110,7,0,0,0,2023-02-03T23:45:47.000Z,2023-02-03T23:45:48.000Z,dryad.dryad,dryad,"FOS: Animal and dairy science,FOS: Animal and dairy science,Alces alces,Herbivory,nutritional ecology,Nutritional Geometry,ungulate diets","[{'subject': 'FOS: Animal and dairy science', 'subjectScheme': 'fos'}, {'subject': 'FOS: Animal and dairy science', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Alces alces'}, {'subject': 'Herbivory', 'schemeUri': 'https://github.com/PLOS/plos-thesaurus', 'subjectScheme': 'PLOS Subject Area Thesaurus'}, {'subject': 'nutritional ecology'}, {'subject': 'Nutritional Geometry'}, {'subject': 'ungulate diets'}]",['53329 bytes'],
+10.17178/emaa_para-nh3_rotation-hot_9da5b297,Rotation-hot excitation of para-NH3 by ortho-H2 and para-H2 collisions,"UGA, CNRS, CNRS-INSU, OSUG",2023,en,Dataset,"Please acknowledge the use of EMAA Database by citing the original articles in which the data were published (BibTeX format available), and adding the following sentence in your publication:
+This research has made use of spectroscopic and collisional data from the EMAA database (https://emaa.osug.fr). EMAA is supported by the Observatoire des Sciences de l'Univers de Grenoble (OSUG),Creative Commons Attribution 4.0 International,Data access and use are ruled by the EMAA data policy.",62 rotation-hot energy levels / 133 radiative transitions / 1891 collisional transitions for ortho-H2 (5 temperatures in the range 100-500K) / 1891 collisional transitions for para-H2 (5 temperatures in the range 100-500K),mds,True,findable,0,0,0,0,0,2023-12-07T15:52:25.000Z,2023-12-07T15:52:25.000Z,inist.osug,jbru,"target para-NH3,excitationType Rotation-hot,collisional excitation,collider.0 ortho-H2,collider.1 para-H2,astrophysics,interstellar medium,comets,circumstellar medium,gas,microwave spectroscopy,infrared spectroscopy,rotational excitation,rovibrational excitation,vibrational excitation,electronic excitation,collisional rate coefficients,fine structure,hyperfine structure","[{'subject': 'target para-NH3', 'subjectScheme': 'main'}, {'subject': 'excitationType Rotation-hot', 'subjectScheme': 'main'}, {'subject': 'collisional excitation', 'subjectScheme': 'main'}, {'subject': 'collider.0 ortho-H2', 'subjectScheme': 'var'}, {'subject': 'collider.1 para-H2', 'subjectScheme': 'var'}, {'subject': 'astrophysics', 'subjectScheme': 'var'}, {'subject': 'interstellar medium', 'subjectScheme': 'var'}, {'subject': 'comets', 'subjectScheme': 'var'}, {'subject': 'circumstellar medium', 'subjectScheme': 'var'}, {'subject': 'gas', 'subjectScheme': 'var'}, {'subject': 'microwave spectroscopy', 'subjectScheme': 'var'}, {'subject': 'infrared spectroscopy', 'subjectScheme': 'var'}, {'subject': 'rotational excitation', 'subjectScheme': 'var'}, {'subject': 'rovibrational excitation', 'subjectScheme': 'var'}, {'subject': 'vibrational excitation', 'subjectScheme': 'var'}, {'subject': 'electronic excitation', 'subjectScheme': 'var'}, {'subject': 'collisional rate coefficients', 'subjectScheme': 'var'}, {'subject': 'fine structure', 'subjectScheme': 'var'}, {'subject': 'hyperfine structure', 'subjectScheme': 'var'}]",,['Radex']
+10.57745/bywea3,Long-term monitoring of near-surface soil temperature in high-elevation alpine grasslands,Recherche Data Gouv,2023,,Dataset,,"Monitoring of near-surface soil temperature in European mountain meadows. Data are collected as part of the ANR project ODYSSEE (Projet-ANR-13-ISV7-0004). Data include a GPS position, a date and time in UTC and a near-surface soil temperature (in °C) measured at 5 cm belowground using stand-alone temperature data logger.",mds,True,findable,22,0,0,0,0,2023-03-27T13:30:34.000Z,2023-07-18T07:52:17.000Z,rdg.prod,rdg,,,,
+10.17178/ohmcv.dsd.vb2.12-16.1,"DSD network, Villeneuve-de-Berg-2",CNRS - OSUG - OREME,2011,en,Dataset,"Data access and use are ruled by the OHMCV data policy.,The following acknowledging sentence should appear in publications using OHMCV data and products: ""OHMCV is funded by the Institut National des Sciences de l’Univers (INSU/CNRS) and the Observatoire des Sciences de l’Univers de Grenoble (OSUG / Université Grenoble Alpes)â€.",This dataset is part of the Cevennesâ€Vivarais Mediterranean Hydrometeorological Observatory (OHMCV),mds,True,findable,0,0,2,0,0,2017-10-17T13:24:24.000Z,2017-10-17T13:24:25.000Z,inist.osug,jbru,"Atmospheric conditions,Precipitation Amount,Precipitation Rate,Droplet Size,DISDROMETERS,Ground networks,Hydrometeorological sites,Fixed Observation Stations","[{'subject': 'Atmospheric conditions', 'subjectScheme': 'main'}, {'subject': 'Precipitation Amount', 'subjectScheme': 'main'}, {'subject': 'Precipitation Rate', 'subjectScheme': 'main'}, {'subject': 'Droplet Size', 'subjectScheme': 'main'}, {'subject': 'DISDROMETERS', 'subjectScheme': 'main'}, {'subject': 'Ground networks', 'subjectScheme': 'main'}, {'subject': 'Hydrometeorological sites', 'subjectScheme': 'main'}, {'subject': 'Fixed Observation Stations', 'subjectScheme': 'main'}]",,['NETCDF']
+10.17178/amma-catch.al.met_od,"Meteorological dataset (including radiative budget), within the Donga watershed (600 km2), Benin","IRD, CNRS-INSU, OSUG, OMP, OREME",2002,en,Dataset,"Creative Commons Attribution 4.0 International,Data access and use are ruled by the AMMA-CATCH data policy.,For any publication using AMMA-CATCH data, authors are asked to:
-Acta Crystallogr F Struct Biol Commun. 2015 Nov;71(Pt 11):1401-7
+Mandatory: cite the reference article and the DOI of the observatory
-CC-BY-SA license
+ (1) Galle et al. (2018). AMMA-CATCH a Critical Zone Observatory in West Africa Monitoring a Region in Transition. Vadose Zone Journal, 17 (1), 18006.
+ (2) AMMA-CATCH (1990). AMMA-CATCH : a hydrological, meteorological and ecological observatory on West Africa. IRD, CNRS-INSU, OSUG, OMP, OREME. doi:10.17178/AMMA-CATCH.all
-MD5SUMS
+Optional: cite the DOI of each dataset used.
-a774aabcd316b5b200ef5c08b109ba9a crystal-form-II_part-1.tar.lzma
+Co-authorship: depending on the contribution of the data to the scientific results obtained, the authors should either propose co-authorship to the data providers or at least acknowledge their contribution.",Document atmospheric forcing and reference evapotranspiration (Eto) estimation.,mds,True,findable,0,0,1,0,0,2018-03-16T15:36:55.000Z,2018-03-16T15:36:56.000Z,inist.osug,jbru,"Meteorology,Sudanian climate,Wind Speed,Relative Humidity,Standard Deviation of Wind Direction,Net Radiation,Wind Direction,Air Temperature,Incoming Shortwave Radiation,Outgoing Shortwave Radiation,Air Pressure","[{'subject': 'Meteorology', 'subjectScheme': 'main'}, {'subject': 'Sudanian climate', 'subjectScheme': 'main'}, {'subject': 'Wind Speed', 'subjectScheme': 'var'}, {'subject': 'Relative Humidity', 'subjectScheme': 'var'}, {'subject': 'Standard Deviation of Wind Direction', 'subjectScheme': 'var'}, {'subject': 'Net Radiation', 'subjectScheme': 'var'}, {'subject': 'Wind Direction', 'subjectScheme': 'var'}, {'subject': 'Air Temperature', 'subjectScheme': 'var'}, {'subject': 'Incoming Shortwave Radiation', 'subjectScheme': 'var'}, {'subject': 'Outgoing Shortwave Radiation', 'subjectScheme': 'var'}, {'subject': 'Air Pressure', 'subjectScheme': 'var'}]",,"['CSV', 'NETCDF', 'O&M 1.0']"
+10.17178/emaa_hc3(15n)_rotation_4dcd1291,"Rotation excitation of HC3[15N] by electron, ortho-H2 and para-H2 collisions","UGA, CNRS, CNRS-INSU, OSUG",2021,en,Dataset,"Please acknowledge the use of EMAA Database by citing the original articles in which the data were published (BibTeX format available), and adding the following sentence in your publication:
+This research has made use of spectroscopic and collisional data from the EMAA database (https://emaa.osug.fr). EMAA is supported by the Observatoire des Sciences de l'Univers de Grenoble (OSUG),Creative Commons Attribution 4.0 International,Data access and use are ruled by the EMAA data policy.",38 rotation energy levels / 37 radiative transitions / 564 collisional transitions for para-H2 (20 temperatures in the range 10-300K) / 564 collisional transitions for ortho-H2 (20 temperatures in the range 10-300K) / 37 collisional transitions for electron (5 temperatures in the range 10-1000K),mds,True,findable,0,0,0,0,0,2021-11-18T13:34:58.000Z,2021-11-18T13:34:59.000Z,inist.osug,jbru,"target HC3[15N],excitationType Rotation,collisional excitation,collider.0 para-H2,collider.1 ortho-H2,collider.2 electron,astrophysics,interstellar medium,comets,circumstellar medium,gas,microwave spectroscopy,infrared spectroscopy,rotational excitation,rovibrational excitation,vibrational excitation,electronic excitation,collisional rate coefficients,fine structure,hyperfine structure","[{'subject': 'target HC3[15N]', 'subjectScheme': 'main'}, {'subject': 'excitationType Rotation', 'subjectScheme': 'main'}, {'subject': 'collisional excitation', 'subjectScheme': 'main'}, {'subject': 'collider.0 para-H2', 'subjectScheme': 'var'}, {'subject': 'collider.1 ortho-H2', 'subjectScheme': 'var'}, {'subject': 'collider.2 electron', 'subjectScheme': 'var'}, {'subject': 'astrophysics', 'subjectScheme': 'var'}, {'subject': 'interstellar medium', 'subjectScheme': 'var'}, {'subject': 'comets', 'subjectScheme': 'var'}, {'subject': 'circumstellar medium', 'subjectScheme': 'var'}, {'subject': 'gas', 'subjectScheme': 'var'}, {'subject': 'microwave spectroscopy', 'subjectScheme': 'var'}, {'subject': 'infrared spectroscopy', 'subjectScheme': 'var'}, {'subject': 'rotational excitation', 'subjectScheme': 'var'}, {'subject': 'rovibrational excitation', 'subjectScheme': 'var'}, {'subject': 'vibrational excitation', 'subjectScheme': 'var'}, {'subject': 'electronic excitation', 'subjectScheme': 'var'}, {'subject': 'collisional rate coefficients', 'subjectScheme': 'var'}, {'subject': 'fine structure', 'subjectScheme': 'var'}, {'subject': 'hyperfine structure', 'subjectScheme': 'var'}]",,['Radex']
+10.5281/zenodo.7438422,X-ray radiography 4D particle tracking of heavy spheres suspended in a turbulent jet,Zenodo,2022,,Dataset,"Creative Commons Attribution 4.0 International,Open Access","This database report 3d trajectories of heavy spheres suspended in a turbulent upward jet. A cylindrical tank is filled with water and the jet nozzle is placed on its axis on the bottom wall, and a constant flowrate (Q) of water is fed through the nozzle. Conditions at 1700 and 2200 mL/min are considered, and the number of spheres is varied between 1 and 12 (Nsphere). The spheres are glass and are detected using X-ray radiography at 60Hz. The 4d kinematics are obtained with this setup using radioSphere (E. Ando et<br> al., Measurement Science and Technology, 32(9), 095405, 2021). Each condition has a series of files named based on the number of spheres in the tank Nsphere and the flowrate Q, with each sphere of index isphere having its own file. Each file is 3 columns of doubles representing the 3d coordinates x, y, and z of the sphere, in mm, where z is the axis of the cylinder and the points up, against gravity. Results from this database are published here: https://doi.org/10.1016/j.ijmultiphaseflow.2023.104406<br> O. Stamati, B. Marks, E. Ando, S. Roux, N. Machicoane, X-ray radiography 4D particle tracking of heavy spheres suspended in a turbulent jet, <em>International Journal of Multiphase Flow</em> 162, 104406, 2023.",mds,True,findable,0,0,0,0,0,2022-12-14T16:48:44.000Z,2022-12-14T16:48:45.000Z,cern.zenodo,cern,"particle-laden flow, turbulence, jet, X-ray radiography, 4d kinematics","[{'subject': 'particle-laden flow, turbulence, jet, X-ray radiography, 4d kinematics'}]",,
+10.5281/zenodo.4804641,FIGURES 22–27 in Review and contribution to the stonefly (Insecta: Plecoptera) fauna of Azerbaijan,Zenodo,2021,,Image,Open Access,"FIGURES 22–27. Larval characters of Protonemura sp. AZE-1 from the Talysh Mts—22: pronotum, dorsal view; 23: terga 4–7, dorsal view; 24: hind femur and tibia, lateral view; 25: cercus and hind tarsus, lateral view; 26: male terminalia, ventral view; 27: female terminalia, ventral view.",mds,True,findable,0,0,2,0,0,2021-05-26T07:55:14.000Z,2021-05-26T07:55:17.000Z,cern.zenodo,cern,"Biodiversity,Taxonomy,Animalia,Arthropoda,Insecta,Plecoptera,Nemouridae,Protonemura","[{'subject': 'Biodiversity'}, {'subject': 'Taxonomy'}, {'subject': 'Animalia'}, {'subject': 'Arthropoda'}, {'subject': 'Insecta'}, {'subject': 'Plecoptera'}, {'subject': 'Nemouridae'}, {'subject': 'Protonemura'}]",,
+10.57745/ruqljl,"Draix-Bleone Observatory spatial data: catchment boundaries, instrument locations and DEM",Recherche Data Gouv,2023,,Dataset,,"This dataset contains spatial information for Draix-Bleone Observatory, including catchment boundaries for the Laval, Moulin, Brusquet, Roubine, Francon, Bouinenc and Galabre catchments, instrument locations, and high-resolution topographic data (DEM) for the Laval, Moulin, Roubine, and Brusquet catchments.",mds,True,findable,17,0,0,0,0,2023-07-03T14:42:16.000Z,2023-07-17T09:46:47.000Z,rdg.prod,rdg,,,,
+10.17178/emaa_hco-plus_rotation_a861ef7a,"Rotation excitation of HCO+ by electron, ortho-H2 and para-H2 collisions","UGA, CNRS, CNRS-INSU, OSUG",2021,en,Dataset,"Please acknowledge the use of EMAA Database by citing the original articles in which the data were published (BibTeX format available), and adding the following sentence in your publication:
+This research has made use of spectroscopic and collisional data from the EMAA database (https://emaa.osug.fr). EMAA is supported by the Observatoire des Sciences de l'Univers de Grenoble (OSUG),Creative Commons Attribution 4.0 International,Data access and use are ruled by the EMAA data policy.",22 rotation energy levels / 21 radiative transitions / 132 collisional transitions for electron (12 temperatures in the range 10-1000K) / 231 collisional transitions for ortho-H2 (9 temperatures in the range 10-200K) / 231 collisional transitions for para-H2 (9 temperatures in the range 10-200K),mds,True,findable,0,0,0,0,0,2021-11-18T13:35:08.000Z,2021-11-18T13:35:08.000Z,inist.osug,jbru,"target HCO+,excitationType Rotation,collisional excitation,collider.0 electron,collider.1 ortho-H2,collider.2 para-H2,astrophysics,interstellar medium,comets,circumstellar medium,gas,microwave spectroscopy,infrared spectroscopy,rotational excitation,rovibrational excitation,vibrational excitation,electronic excitation,collisional rate coefficients,fine structure,hyperfine structure","[{'subject': 'target HCO+', 'subjectScheme': 'main'}, {'subject': 'excitationType Rotation', 'subjectScheme': 'main'}, {'subject': 'collisional excitation', 'subjectScheme': 'main'}, {'subject': 'collider.0 electron', 'subjectScheme': 'var'}, {'subject': 'collider.1 ortho-H2', 'subjectScheme': 'var'}, {'subject': 'collider.2 para-H2', 'subjectScheme': 'var'}, {'subject': 'astrophysics', 'subjectScheme': 'var'}, {'subject': 'interstellar medium', 'subjectScheme': 'var'}, {'subject': 'comets', 'subjectScheme': 'var'}, {'subject': 'circumstellar medium', 'subjectScheme': 'var'}, {'subject': 'gas', 'subjectScheme': 'var'}, {'subject': 'microwave spectroscopy', 'subjectScheme': 'var'}, {'subject': 'infrared spectroscopy', 'subjectScheme': 'var'}, {'subject': 'rotational excitation', 'subjectScheme': 'var'}, {'subject': 'rovibrational excitation', 'subjectScheme': 'var'}, {'subject': 'vibrational excitation', 'subjectScheme': 'var'}, {'subject': 'electronic excitation', 'subjectScheme': 'var'}, {'subject': 'collisional rate coefficients', 'subjectScheme': 'var'}, {'subject': 'fine structure', 'subjectScheme': 'var'}, {'subject': 'hyperfine structure', 'subjectScheme': 'var'}]",,['Radex']
+10.48537/hal-03220270,Toward the Possibilities of Urban Sound Parks,Reseau International Ambiances,2020,en,Text,Creative Commons Attribution Non Commercial No Derivatives 2.0 Generic,"This paper, written in an interview format, collects the thoughts of three inter- national curators of outdoor, public sound installation art parks. Questions were posed by Jordan Lacey to Paul Craenen (Klankenbos, Belgium), Raquel Castro (Lisboa Soa festival, Portugal), and Stephan Moore (Caramoor Center for Music and the Arts, New York State). The questions aim to decipher com- monalities across the experiences of the three curators, which are summarised into seven key themes at the end of the document. The key themes can be read as a series of propositions for the possible creation of sound parks in urban spaces.",mds,True,findable,0,0,0,0,0,2021-06-17T16:48:58.000Z,2021-06-17T16:48:59.000Z,jbru.aau,jbru,"Sound art installations,listening,curation,public space","[{'lang': 'eng', 'subject': 'Sound art installations'}, {'lang': 'eng', 'subject': 'listening'}, {'lang': 'eng', 'subject': 'curation'}, {'lang': 'eng', 'subject': 'public space'}]",['6 pages'],['application/pdf']
+10.48537/hal-03220369,"Photographic Driftings as a Method to Intercept the Atmosphere of the Sprawlscape, Walking Exploration of the Ring Road Around the City of Cagliari",Reseau International Ambiances,2020,en,Text,Creative Commons Attribution Non Commercial No Derivatives 2.0 Generic,"Urban strolls allow to intercept the atmospheres of a space, mediating between the moving body and the context. With a situ- ationist approach, I carried out an exploration of the sprawlscape along the SS554, the urban motorway connecting Cagliari (Italy) and its surrounding centers. The contexts I met, a particular fusion of rural and urban, are considered marginal and degraded compared to the city, thus the choice of exploring on foot, driven by the difficulty that these spaces pose to walking and the possibilities it allows to explore spaces atmospherically. The stroll was integrated by a photoreport called « flat- shades » : photography is a useful medium to explore and interprete the atmosphere of a space, and it allows the (re)presentation and sharing of this personal perceived atmosphere.",mds,True,findable,0,0,0,0,0,2021-06-17T16:47:15.000Z,2021-06-17T16:47:17.000Z,jbru.aau,jbru,"Urban Motorway,Walking,Visual Methodologies,Photography,Fieldwork,Atmospheres","[{'lang': 'eng', 'subject': 'Urban Motorway'}, {'lang': 'eng', 'subject': 'Walking'}, {'lang': 'eng', 'subject': 'Visual Methodologies'}, {'lang': 'eng', 'subject': 'Photography'}, {'lang': 'eng', 'subject': 'Fieldwork'}, {'lang': 'eng', 'subject': 'Atmospheres'}]",['6 pages'],['application/pdf']
+10.17178/emaa_ortho-nh3_rotation-hot_2c68197a,Rotation-hot excitation of ortho-NH3 by ortho-H2 and para-H2 collisions,"UGA, CNRS, CNRS-INSU, OSUG",2023,en,Dataset,"Please acknowledge the use of EMAA Database by citing the original articles in which the data were published (BibTeX format available), and adding the following sentence in your publication:
+This research has made use of spectroscopic and collisional data from the EMAA database (https://emaa.osug.fr). EMAA is supported by the Observatoire des Sciences de l'Univers de Grenoble (OSUG),Creative Commons Attribution 4.0 International,Data access and use are ruled by the EMAA data policy.",33 rotation-hot energy levels / 68 radiative transitions / 528 collisional transitions for ortho-H2 (5 temperatures in the range 100-500K) / 528 collisional transitions for para-H2 (5 temperatures in the range 100-500K),mds,True,findable,0,0,0,0,0,2023-12-07T15:51:59.000Z,2023-12-07T15:52:00.000Z,inist.osug,jbru,"target ortho-NH3,excitationType Rotation-hot,collisional excitation,collider.0 ortho-H2,collider.1 para-H2,astrophysics,interstellar medium,comets,circumstellar medium,gas,microwave spectroscopy,infrared spectroscopy,rotational excitation,rovibrational excitation,vibrational excitation,electronic excitation,collisional rate coefficients,fine structure,hyperfine structure","[{'subject': 'target ortho-NH3', 'subjectScheme': 'main'}, {'subject': 'excitationType Rotation-hot', 'subjectScheme': 'main'}, {'subject': 'collisional excitation', 'subjectScheme': 'main'}, {'subject': 'collider.0 ortho-H2', 'subjectScheme': 'var'}, {'subject': 'collider.1 para-H2', 'subjectScheme': 'var'}, {'subject': 'astrophysics', 'subjectScheme': 'var'}, {'subject': 'interstellar medium', 'subjectScheme': 'var'}, {'subject': 'comets', 'subjectScheme': 'var'}, {'subject': 'circumstellar medium', 'subjectScheme': 'var'}, {'subject': 'gas', 'subjectScheme': 'var'}, {'subject': 'microwave spectroscopy', 'subjectScheme': 'var'}, {'subject': 'infrared spectroscopy', 'subjectScheme': 'var'}, {'subject': 'rotational excitation', 'subjectScheme': 'var'}, {'subject': 'rovibrational excitation', 'subjectScheme': 'var'}, {'subject': 'vibrational excitation', 'subjectScheme': 'var'}, {'subject': 'electronic excitation', 'subjectScheme': 'var'}, {'subject': 'collisional rate coefficients', 'subjectScheme': 'var'}, {'subject': 'fine structure', 'subjectScheme': 'var'}, {'subject': 'hyperfine structure', 'subjectScheme': 'var'}]",,['Radex']
+10.48537/hal-03220370,"Sensitive Spaces and Urban Practices, Session 12 – Introduction",Reseau International Ambiances,2020,en,Text,Creative Commons Attribution Non Commercial No Derivatives 2.0 Generic,,mds,True,findable,0,0,0,0,0,2021-06-17T16:47:05.000Z,2021-06-17T16:47:06.000Z,jbru.aau,jbru,,,['2 pages'],['application/pdf']
+10.17178/amma-catch.cl.rain_nig,"Precipitation dataset (5 minutes rainfall), 5 stations in Eastern Niger","IRD, CNRS-INSU, OSUG, OMP, OREME",1999,en,Dataset,"Creative Commons Attribution 4.0 International,Data access and use are ruled by the AMMA-CATCH data policy.,For any publication using AMMA-CATCH data, authors are asked to:
+
+Mandatory: cite the reference article and the DOI of the observatory
-3596da75621648cc0ac5ee84b26deab0 crystal-form-II_part-2.tar.lzma
+ (1) Galle et al. (2018). AMMA-CATCH a Critical Zone Observatory in West Africa Monitoring a Region in Transition. Vadose Zone Journal, 17 (1), 18006.
+ (2) AMMA-CATCH (1990). AMMA-CATCH : a hydrological, meteorological and ecological observatory on West Africa. IRD, CNRS-INSU, OSUG, OMP, OREME. doi:10.17178/AMMA-CATCH.all
-8a5410ce3178c814d7a127491e68ca0a crystal-form-I_part-1.tar.lzma
+Optional: cite the DOI of each dataset used.
-259614e1b2cfe089141fb7baa846af7e crystal-form-I_part-2.tar.lzma",,True,findable,0,0,0,0,0,2015-07-13T08:26:55.000Z,2015-07-13T08:26:56.000Z,cern.zenodo,cern,macromolecular crystallography,[{'subject': 'macromolecular crystallography'}],,
-10.5061/dryad.6c886,Data from: Present conditions may mediate the legacy effect of past land-use changes on species richness and composition of above- and below-ground assemblages,Dryad,2018,en,Dataset,Creative Commons Zero v1.0 Universal,"1. In forest ecosystems, the influence of landscape history on contemporary biodiversity patterns has been shown to provide a convenient framework to explain shifts in plant assemblages. However, very few studies have controlled for present human-induced activities when analyzing the effect of forest continuity on community structures. By cutting and removing trees, foresters substantially change stand ecological conditions, with consequences on biodiversity patterns. Disentangling the effect of past and present human activities on biodiversity is thus crucial for ecosystem management and conservation. 2. We explored the response of plant and springtail species richness and composition to forest continuity (ancient vs recent) in montane forests, while controlling for stand maturity (mature vs overmature). We established 70 sites in landscapes dominated by unfragmented ancient forests where we surveyed plants and assessed springtails by analyzing environmental DNA. 3. Neither plant nor springtail species richness was influenced by forest continuity or by stand maturity. Instead, site-specific characteristics, especially soil properties and canopy openness, were of major importance in shaping above- and below-ground richness. 4. For plant and springtail species composition, the effect of forest continuity was mediated by stand maturity. Thus, both plants and springtails showed a convergence in assemblage patterns with the increasing availability of overmature stand attributes. Moreover, soil and stand-scale factors were evidently more important than landscape-scale factors in shaping above- and below-ground species composition. 5. Synthesis. We clearly demonstrated that biodiversity patterns are more strongly influenced by present human-induced activities than by past human-induced activities. In the Northern Alps where our study sites were located, the colonization credit of most species has been paid off and the transient biodiversity deficit usually related to forest continuity has moved toward equilibrium. These findings emphasize the necessity to better control for local-scale factors when analyzing the response of biodiversity to forest continuity; we call for more research into the effects of forest continuity in unfragmented mountain forests.",mds,True,findable,294,29,1,1,0,2017-04-25T13:35:49.000Z,2017-04-25T13:35:51.000Z,dryad.dryad,dryad,"ancient forest,secondary succession,Community dynamics,habitat quality,mountain forest,Plant–soil interactions","[{'subject': 'ancient forest'}, {'subject': 'secondary succession'}, {'subject': 'Community dynamics'}, {'subject': 'habitat quality'}, {'subject': 'mountain forest'}, {'subject': 'Plant–soil interactions'}]",['59412 bytes'],
-10.5061/dryad.jwstqjqbr,Data from: Above- and belowground drivers of intraspecific trait variability across subcontinental gradients for five ubiquitous forest plants in North America,Dryad,2022,en,Dataset,Creative Commons Zero v1.0 Universal,"Intraspecific trait variability (ITV) provides the material for species adaptation to environmental changes. To advance our understanding of how ITV can contribute to species adaptation to a wide range of environmental conditions, we studied five widespread understory forest species exposed to both continental-scale climate gradients, and local soil and disturbance gradients. We investigated the environmental drivers of between-site leaf and root trait variation, and tested whether higher between-site ITV was associated with increased trait sensitivity to environmental variation (i.e. environmental fit). We measured morphological (specific leaf area: SLA, specific root length: SRL) and chemical traits (Leaf and Root N, P, K, Mg, Ca) of five forest understory vascular plant species at 78 sites across Canada. A total of 261 species-by-site combinations spanning ~4300 km were sampled, capturing important abiotic and biotic environmental gradients (neighbourhood composition, canopy structure, soil conditions, climate). We used multivariate and univariate linear mixed models to identify drivers of ITV and test the association of between-site ITV with environmental fit. Between-site ITV of leaf traits was primarily driven by canopy structure and climate. Comparatively, environmental drivers explained only a small proportion of variability in root traits: these relationships were trait-specific and included soil conditions (Root P), canopy structure (Root N) and neighbourhood composition (SRL, Root K). Between-site ITV was associated with increased environmental fit only for a minority of traits, primarily in response to climate (SLA, Leaf N, SRL). Synthesis. By studying how ITV is structured along environmental gradients among species adapted to a wide range of conditions, we can begin to understand how individual species might respond to environmental change. Our results show that generalizable trait-environment relationships occur primarily aboveground and only accounted for a small proportion of variability. For our group of species with broad ecological niches, variability in traits was only rarely associated with higher environmental fit, and primarily along climatic gradients. These results point to promising research avenues on the various ways in which trait variation can affect species performance along different environmental gradients.",mds,True,findable,122,9,0,1,0,2022-04-18T18:16:17.000Z,2022-04-18T18:16:18.000Z,dryad.dryad,dryad,"environmental matching,Plant nutrient concentration,specific leaf area (SLA),specific root length (SRL),functional ecology,edaphic conditions,canopy structure,biotic interaction,Understory plants,Aralia nudicaulis,Cornus canadensis,Maianthemum canadense,Trientalis borealis,Vaccinium angustifolium,FOS: Biological sciences,FOS: Biological sciences","[{'subject': 'environmental matching'}, {'subject': 'Plant nutrient concentration'}, {'subject': 'specific leaf area (SLA)'}, {'subject': 'specific root length (SRL)'}, {'subject': 'functional ecology'}, {'subject': 'edaphic conditions'}, {'subject': 'canopy structure'}, {'subject': 'biotic interaction'}, {'subject': 'Understory plants'}, {'subject': 'Aralia nudicaulis'}, {'subject': 'Cornus canadensis'}, {'subject': 'Maianthemum canadense'}, {'subject': 'Trientalis borealis'}, {'subject': 'Vaccinium angustifolium'}, {'subject': 'FOS: Biological sciences', 'subjectScheme': 'fos'}, {'subject': 'FOS: Biological sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}]",['784242 bytes'],
-10.5281/zenodo.5243218,Lithuanian DBnary archive in original Lemon format,Zenodo,2021,lt,Dataset,"Creative Commons Attribution Share Alike 4.0 International,Open Access","The DBnary dataset is an extract of Wiktionary data from many language editions in RDF Format. Until July 1st 2017, the lexical data extracted from Wiktionary was modeled using the lemon vocabulary. This dataset contains the full archive of all DBnary dumps in Lemon format containing lexical information from Lithuanian language edition, ranging from 6th April 2015 to 1st July 2017. After July 2017, DBnary data has been modeled using the ontolex model and will be available in another Zenodo entry.<br>",mds,True,findable,0,0,0,0,0,2021-08-24T10:44:17.000Z,2021-08-24T10:44:18.000Z,cern.zenodo,cern,"Wiktionary,Lemon,Lexical Data,RDF","[{'subject': 'Wiktionary'}, {'subject': 'Lemon'}, {'subject': 'Lexical Data'}, {'subject': 'RDF'}]",,
-10.5281/zenodo.7969434,Sample Tomography Image,Zenodo,2023,,Dataset,"Creative Commons Attribution 4.0 International,Open Access",Sample Tomography Image,mds,True,findable,0,0,0,0,0,2023-05-25T08:05:35.000Z,2023-05-25T08:05:36.000Z,cern.zenodo,cern,,,,
-10.5281/zenodo.10211920,"Dataset for ""Reduced ice loss from Greenland under stratospheric aerosol injection""",Zenodo,2023,en,Dataset,Creative Commons Attribution 4.0 International,"Dataset for the paper ""Reduced ice loss from Greenland under stratospheric aerosol injection""(Journal of Geophysical Research: Earth Surface, 128 (11), e2023JF007112, doi: 10.1029/2023JF007112).
-Please see the README for details.
-V1.1.1: README and metadata updated.V1.1: Scripts related to the ISIMIP-method downscaling, SEMIC code, as well as configuration and input files for SICOPOLIS and Elmer/Ice added.V1: Results of new simulations that include both atmospheric and oceanic forcing.V0.9.1: Crucial bug fix in the files ElmerIce_MIROC-ESM-CHEM-{RCP85,RCP45,G4}_2D_final.nc (those in V0.9 were faulty).V0.9: Scalar variables: now distinguished between state and flux variables. 2D variables added.V0.5: Scalar variables as functions of time.
-* * * * * * *
-The following script may be used to download the entire content of the archive on a Unix/Linux system:
-#!/bin/bash# --- download_all.sh ---repodir=""https://zenodo.org/record/10211920/files""files=(""_README.pdf"" \      ""Output_SICOPOLIS_Scalar.zip"" ""Output_ElmerIce_Scalar.zip"" \      ""Output_SICOPOLIS_2D.zip"" ""Output_ElmerIce_2D.zip"" \      ""Repo_ISIMIP_downscale.zip"" ""Repo_SEMIC.zip"" \      ""Repo_SICOPOLIS.zip"" ""Repo_ElmerIce.zip"")for file in ${files[@]}; do   wget ""${repodir}/${file}""doneecho ""--- Done! ---""
-Â ",api,True,findable,0,0,1,1,0,2023-11-28T03:30:42.000Z,2023-11-28T03:30:43.000Z,cern.zenodo,cern,"Greenland,Ice sheet,Modelling,Ice-sheet modelling,Arctic glaciology,Climate change,Ice and climate,Sea-level rise,Geoengineering","[{'subject': 'Greenland'}, {'subject': 'Ice sheet'}, {'subject': 'Modelling'}, {'subject': 'Ice-sheet modelling'}, {'subject': 'Arctic glaciology'}, {'subject': 'Climate change'}, {'subject': 'Ice and climate'}, {'subject': 'Sea-level rise'}, {'subject': 'Geoengineering'}]",,
-10.5281/zenodo.4964201,"FIGURES 1–4. Protonemura auberti, male. 1–2. epiproct, lateral view. 3. male terminalia with epiproct, dorsal view. 4 in Two new species of Protonemura Kempny, 1898 (Plecoptera: Nemouridae) from the Italian Alps",Zenodo,2021,,Image,Open Access,"FIGURES 1–4. Protonemura auberti, male. 1–2. epiproct, lateral view. 3. male terminalia with epiproct, dorsal view. 4. male terminalia, dorsal view",mds,True,findable,0,0,7,0,0,2021-06-16T08:24:45.000Z,2021-06-16T08:24:46.000Z,cern.zenodo,cern,"Biodiversity,Taxonomy,Animalia,Arthropoda,Insecta,Plecoptera,Nemouridae,Protonemura","[{'subject': 'Biodiversity'}, {'subject': 'Taxonomy'}, {'subject': 'Animalia'}, {'subject': 'Arthropoda'}, {'subject': 'Insecta'}, {'subject': 'Plecoptera'}, {'subject': 'Nemouridae'}, {'subject': 'Protonemura'}]",,
-10.5281/zenodo.5243199,Japanese DBnary archive in original Lemon format,Zenodo,2021,ja,Dataset,"Creative Commons Attribution Share Alike 4.0 International,Open Access","The DBnary dataset is an extract of Wiktionary data from many language editions in RDF Format. Until July 1st 2017, the lexical data extracted from Wiktionary was modeled using the lemon vocabulary. This dataset contains the full archive of all DBnary dumps in Lemon format containing lexical information from Japanese language edition, ranging from 11th October 2013 to 1st July 2017. After July 2017, DBnary data has been modeled using the ontolex model and will be available in another Zenodo entry.<br>",mds,True,findable,0,0,0,0,0,2021-08-24T10:26:51.000Z,2021-08-24T10:26:51.000Z,cern.zenodo,cern,"Wiktionary,Lemon,Lexical Data,RDF","[{'subject': 'Wiktionary'}, {'subject': 'Lemon'}, {'subject': 'Lexical Data'}, {'subject': 'RDF'}]",,
-10.5281/zenodo.3872130,Raw diffraction data for [NiFeSe] hydrogenase pressurized with O2 gas - dataset wtO2,Zenodo,2020,,Dataset,"Creative Commons Attribution 4.0 International,Embargoed Access","Diffraction data measured at ESRF beamline ID29 on October 2, 2017. Image files are uploaded in blocks of gzip-compressed cbf files.",mds,True,findable,0,0,0,0,0,2020-06-01T20:15:39.000Z,2020-06-01T20:15:40.000Z,cern.zenodo,cern,"Hydrogenase,Selenium,gas channels,high-pressure derivatization","[{'subject': 'Hydrogenase'}, {'subject': 'Selenium'}, {'subject': 'gas channels'}, {'subject': 'high-pressure derivatization'}]",,
-10.5281/zenodo.4751241,X-ray diffraction tomography dataset of archaeological ceramic,Zenodo,2021,,Dataset,"Creative Commons Attribution 4.0 International,Open Access","<br> This dataset contains a subset of processed data that was acquired using X-ray diffraction tomography (XRD-CT) at the ID15A beamline at the European Synchrotron (ESRF), Grenoble, France. The imaged object is an archaeological ceramic, whose fragments are kept at the University of Milan. High-energy X-ray diffraction measurements were taken at the ID15A beamline using a monochromatic pencil beam (90 keV energy). Data was collected of 3 horizontal slices, spaced 7 mm apart, and acquisition of each slice took 20 minutes. Acquisition was performed in 273 translation steps over a scan range of 12 mm and in 225 rotational steps over an angular range of 180 degrees. Sinograms were computed from the acquired images using the pyFAI library. A subset of the sinograms was selected, containing 3 horizontal slices with 11 channels each. The provided HDF5 file contains two subdatasets: - omega: 225 elements<br> - rotation angle in degrees<br> - sinograms: 11 x 3 x 225 x 273 elements<br> - 11 channels (corresponding to diffraction angle)<br> - 3 horizontal slices<br> - 225 rotation angles<br> - 273 horizontal pixels",mds,True,findable,0,0,0,1,0,2021-05-14T10:33:00.000Z,2021-05-14T10:33:01.000Z,cern.zenodo,cern,"Synchrotron,X-ray diffraction tomography","[{'subject': 'Synchrotron'}, {'subject': 'X-ray diffraction tomography'}]",,
-10.5281/zenodo.5108951,"Spatial slip rate distribution along the SE Xianshuihe fault, eastern Tibet, and earthquake hazard assessment",Zenodo,2021,en,Dataset,"Creative Commons Attribution 4.0 International,Open Access",<strong><em>Table 2: </em></strong><em><sup>10</sup></em><em>Be surface-exposure ages of Zheduotang (ZDT) and Moxi (MX) sites of the SE Xianshuihe fault.</em>,mds,True,findable,0,0,0,0,0,2021-07-16T02:27:16.000Z,2021-07-16T02:27:17.000Z,cern.zenodo,cern,"Xianshuihe fault,eastern Tibet,cosmogenic dating,tectonic-geomorphology,late Quaternary slip rates,active pull apart basin,earthquake hazard","[{'subject': 'Xianshuihe fault'}, {'subject': 'eastern Tibet'}, {'subject': 'cosmogenic dating'}, {'subject': 'tectonic-geomorphology'}, {'subject': 'late Quaternary slip rates'}, {'subject': 'active pull apart basin'}, {'subject': 'earthquake hazard'}]",,
-10.48649/asdc.1201,Caen vu par les médias. L'exemple de Ouest-France.,Atlas Social de Caen - e-ISSN : 2779-654X,2023,fr,JournalArticle,Creative Commons Attribution Non Commercial Share Alike 4.0 International,"Comment l'agglomération de Caen est-elle représentée dans les médias ? Pourquoi certains lieux font-ils l'actualité et pas d'autres ? Quels sont les lieux qui ne sont jamais évoqués ? Quelle géographie des sujets médiatiques se dessine et quel en est le sens ? Pour répondre à ces questions, nous avons dépouillé tous les numéros du journal quotidien Ouest-France pour l'année 2019 puis réalisé une cartographie thématique ?",fabrica,True,findable,0,0,0,0,0,2023-06-23T12:32:59.000Z,2023-06-23T12:32:59.000Z,jbru.eso,jbru,"médias,conflit,aménagement,actualité","[{'subject': 'médias'}, {'subject': 'conflit'}, {'subject': 'aménagement'}, {'subject': 'actualité'}]",,
-10.5281/zenodo.4759507,"Figs. 53-58 in Contribution To The Knowledge Of The Protonemura Corsicana Species Group, With A Revision Of The North African Species Of The P. Talboti Subgroup (Plecoptera: Nemouridae)",Zenodo,2009,,Image,"Creative Commons Attribution 4.0 International,Open Access","Figs. 53-58. Larva of Protonemura berberica Vinçon & S{nchez-Ortega, 1999. 53: front angle of the pronotum; 54: hind femur; 55: outer apical part of the femur; 56: 6th tergal segment; 57: basal segments of the cercus; 58: 15th segment of the cercus (scale 0.1 mm).",mds,True,findable,0,0,2,0,0,2021-05-14T02:26:30.000Z,2021-05-14T02:26:30.000Z,cern.zenodo,cern,"Biodiversity,Taxonomy,Animalia,Arthropoda,Insecta,Plecoptera,Nemouridae,Protonemura","[{'subject': 'Biodiversity'}, {'subject': 'Taxonomy'}, {'subject': 'Animalia'}, {'subject': 'Arthropoda'}, {'subject': 'Insecta'}, {'subject': 'Plecoptera'}, {'subject': 'Nemouridae'}, {'subject': 'Protonemura'}]",,
-10.6084/m9.figshare.24165071,Additional file 1 of Non-ventilator-associated ICU-acquired pneumonia (NV-ICU-AP) in patients with acute exacerbation of COPD: From the French OUTCOMEREA cohort,figshare,2023,,Text,Creative Commons Attribution 4.0 International,Additional file 1. Members of the OutcomeRea Network.,mds,True,findable,0,0,0,0,0,2023-09-20T03:22:50.000Z,2023-09-20T03:22:50.000Z,figshare.ars,otjm,"Medicine,Microbiology,FOS: Biological sciences,Genetics,Molecular Biology,Neuroscience,Biotechnology,Evolutionary Biology,Immunology,FOS: Clinical medicine,Cancer,Science Policy,Virology","[{'subject': 'Medicine'}, {'subject': 'Microbiology'}, {'subject': 'FOS: Biological sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Genetics'}, {'subject': 'Molecular Biology'}, {'subject': 'Neuroscience'}, {'subject': 'Biotechnology'}, {'subject': 'Evolutionary Biology'}, {'subject': 'Immunology'}, {'subject': 'FOS: Clinical medicine', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Cancer'}, {'subject': 'Science Policy'}, {'subject': 'Virology'}]",['107186 Bytes'],
-10.5281/zenodo.4265431,Ecological effects of stress drive bacterial evolvability under sub-inhibitory antibiotic treatments,Zenodo,2020,,Dataset,"Creative Commons Attribution 4.0 International,Open Access","Code and data for our publication ""Ecological effects of stress drive bacterial evolvability under sub-inhibitory antibiotic treatments""",mds,True,findable,0,0,0,0,0,2022-07-20T11:13:17.000Z,2022-07-20T11:13:18.000Z,cern.zenodo,cern,,,,
-10.5281/zenodo.7602827,Military Air Defense System Requirements,Zenodo,2023,en,Dataset,"GNU Lesser General Public License v3.0 or later,Open Access","This repository contains the military air defense system requirements described in ""Automatic requirements extraction, analysis, and graph representation using an approach derived from computational linguistics"" by Faisal Mokammel, Eric Coatanéa, Joonas Coatanéa, Vladislav Nenchev, Eric Blanco, and Matti Pietola.",mds,True,findable,0,0,0,0,0,2023-02-03T12:38:28.000Z,2023-02-03T12:38:28.000Z,cern.zenodo,cern,"contradiction analysis,network representation,requirements management,similarity","[{'subject': 'contradiction analysis'}, {'subject': 'network representation'}, {'subject': 'requirements management'}, {'subject': 'similarity'}]",,
-10.7280/d11h3x,Annual Ice Velocity of the Greenland Ice Sheet (2010-2017),Dryad,2019,en,Dataset,Creative Commons Attribution 4.0 International,"We derive surface ice velocity using data from 16 satellite sensors deployed by 6 different space agencies. The list of sensors is given in the Table S1. The SAR data are processed from raw to single look complex using the GAMMA processor (www.gamma-rs.ch). All measurements rely on consecutive images where the ice displacement is estimated from tracking or interferometry (Joughin et al. 1998, Michel and Rignot 1999, Mouginot et al. 2012). Surface ice motion is detected using a speckle tracking algorithm for SAR instruments and feature tracking for Landsat. The cross-correlation program for both SAR and optical images is ampcor from the JPL/Caltech repeat orbit interferometry package (ROI_PAC). We assemble a composite ice velocity mosaic at 150 m posting using our entire speed database as described in Mouginot et al. 2017 (Fig. 1A). The ice velocity maps are also mosaicked in annual maps at 150 m posting, covering July, 1st to June, 30th of the following year, i.e. centered on January, 1st (12) because a majority of historic data were acquired in winter season, hence spanning two calendar years. We use Landsat-1&2/MSS images between 1972 and 1976 and combine image pairs up to 2 years apart to measure the displacement of surface features between images as described in Dehecq et al., 2015 or Mouginot et al. 2017. We use the 1978 2-m orthorectified aerial images to correct the geolocation of Landsat-1 and -2 images (Korsgaard et al., 2016). Between 1984 and 1991, we process Landsat-4&5/TM image pairs acquired up to 1-year apart. Only few Landsat-4 and -5 images (~3%) needed geocoding refinement using the same 1978 reference as used previously. Between 1991 and 1998, we process radar images from the European ERS-1/2, with a repeat cycle varying from 3 to 36 days depending on the mission phase. Between 1999 and 2013, we used Landsat-7, ASTER, RADARSAT-1/2, ALOS/PALSAR, ENVISAT/ASAR to determine surface velocity (Joughin et al., 2010; Howat, I. 2017; Rignot and Mouginot, 2012). After 2013, we use Landsat-8, Sentinel-1a/b and RADARSAT-2 (Mouginot et al., 2017). All synthetic aperture radar (SAR) datasets are processed assuming surface parallel flow using the digital elevation model (DEM) from the Greenland Mapping Project (GIMP; Howat et al., 2014) and calibrated as described in Mouginot et al., 2012, 2017. Data were provided by the European Space Agency (ESA), the EU Copernicus program (through ESA), the Canadian Space Agency (CSA), the Japan Aerospace Exploration Agency (JAXA), the Agenzia Spaziale Italiana (ASI), the Deutsches Zentrum für Luft- und Raumfahrt e.V. (DLR) and the National Aeronautics and Space Administration (NASA). SAR data acquisitions were coordinated by the Polar Space Task Group (PSTG). Errors are estimated based on sensor resolution and time lapse between consecutive images as described in Mouginot et al. 2017.",mds,True,findable,755,110,0,3,0,2019-03-29T12:53:36.000Z,2019-03-29T12:53:37.000Z,dryad.dryad,dryad,,,['5035575468 bytes'],
-10.5061/dryad.wm37pvmkw,"Forest inventory data from Finland and Sweden for: Demographic performance of European tree species at their hot and cold climatic edges, plus ancillary climate data",Dryad,2020,en,Dataset,Creative Commons Zero v1.0 Universal,"1. Species range limits are thought to result from a decline in demographic performance at range edges. However, recent studies reporting contradictory patterns in species demographic performance at their edges cast doubt on our ability to predict climate change demographic impacts. To understand these inconsistent demographic responses at the edges, we need to shift the focus from geographic to climatic edges and analyse how species responses vary with climatic constraints at the edge and species’ ecological strategy. 2. Here we parameterised integral projection models with climate and competition effects for 27 tree species using forest inventory data from over 90,000 plots across Europe. Our models estimate size-dependent climatic responses and evaluate their effects on two life trajectory metrics: lifespan and passage time - the time to grow to a large size. Then we predicted growth, survival, lifespan, and passage time at the hot and dry or cold and wet edges and compared them to their values at the species climatic centre to derive indices of demographic response at the edge. Using these indices, we investigated whether differences in species demographic response between hot and cold edges could be explained by their position along the climate gradient and functional traits related to their climate stress tolerance. 3. We found that at cold and wet edges of European tree species, growth and passage time were constrained, whereas at their hot and dry edges, survival and lifespan were constrained. Demographic constraints at the edge were stronger for species occurring in extreme conditions, i.e. in hot edges of hot-distributed species and cold edges of cold-distributed species. Species leaf nitrogen content was strongly linked to their demographic responses at the edge. In contrast, we found only weak links with wood density, leaf size, and xylem vulnerability to embolism. 4. Synthesis. Our study presents a more complicated picture than previously thought with demographic responses that differ between hot and cold edges. Predictions of climate change impacts should be refined to include edge and species characteristics.",mds,True,findable,601,39,0,3,0,2020-10-19T20:59:17.000Z,2020-10-19T20:59:18.000Z,dryad.dryad,dryad,"FOS: Natural sciences,FOS: Natural sciences,vitale rate","[{'subject': 'FOS: Natural sciences', 'subjectScheme': 'fos'}, {'subject': 'FOS: Natural sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'vitale rate'}]",['26769397 bytes'],
-10.5061/dryad.j6q573n7x,Continued adaptation of C4 photosynthesis after an initial burst of changes in the Andropogoneae grasses,Dryad,2019,en,Dataset,Creative Commons Zero v1.0 Universal,"C4 photosynthesis is a complex trait that sustains fast growth and high productivity in tropical and subtropical conditions and evolved repeatedly in flowering plants. One of the major C4 lineages is Andropogoneae, a group of ~ 1,200 grass species that includes some of the world's most important crops and species dominating tropical and some temperate grasslands. Previous efforts to understand C4 evolution in the group have compared a few model C4 plants to distantly related C3 species, so that changes directly responsible for the transition to C4 could not be distinguished from those that preceded or followed it. In this study, we analyse the genomes of 66 grass species, capturing the earliest diversification within Andropogoneae as well as their C3 relatives. Phylogenomics combined with molecular dating and analyses of protein evolution show that many changes linked to the evolution of C4 photosynthesis in Andropogoneae happened in the Early Miocene, between 21 and 18 Ma, after the split from its C3 sister lineage, and before the diversification of the group. This initial burst of changes was followed by an extended period of modifications to leaf anatomy and biochemistry during the diversification of Andropogoneae, so that a single C4 origin gave birth to a diversity of C4 phenotypes during 18 million years of speciation events and migration across geographic and ecological spaces. Our comprehensive approach and broad sampling of the diversity in the group reveals that one key transition can lead to a plethora of phenotypes following sustained adaptation of the ancestral state.",mds,True,findable,392,69,0,1,0,2019-10-11T12:58:01.000Z,2019-10-11T12:58:02.000Z,dryad.dryad,dryad,"adaptive evolution,Herbarium Genomics,Jansenelleae,leaf anatomy","[{'subject': 'adaptive evolution'}, {'subject': 'Herbarium Genomics'}, {'subject': 'Jansenelleae'}, {'subject': 'leaf anatomy'}]",['5579649 bytes'],
-10.5281/zenodo.7054555,"Dataset of ""PEMFC performance decay during real-world automotive operation: evincing degradation mechanisms and heterogeneity of ageing""",Zenodo,2022,,Dataset,"Creative Commons Attribution 4.0 International,Open Access","This is the underlying dataset of ""PEMFC performance decay during real-world automotive operation: evincing degradation mechanisms and heterogeneity of ageing""",mds,True,findable,0,0,0,0,0,2022-10-18T16:12:00.000Z,2022-10-18T16:12:01.000Z,cern.zenodo,cern,"Polymer Electrolyte Membrane Fuel Cell,Dynamic load cycle,Local degradation,Automotive,Catalyst layer durability,Degradation mechanism","[{'subject': 'Polymer Electrolyte Membrane Fuel Cell'}, {'subject': 'Dynamic load cycle'}, {'subject': 'Local degradation'}, {'subject': 'Automotive'}, {'subject': 'Catalyst layer durability'}, {'subject': 'Degradation mechanism'}]",,
-10.5061/dryad.jq2bvq8bm,Metabarcoding data reveal vertical multitaxa variation in topsoil communities during the colonization of deglaciated forelands,Dryad,2022,en,Dataset,Creative Commons Zero v1.0 Universal,"Ice-free areas are increasing worldwide due to the dramatic glacier shrinkage and are undergoing rapid colonization by multiple lifeforms, thus representing key environments to study ecosystem development. Soils have a complex vertical structure. However, we know little about how microbial and animal communities differ across soil depths and development stages during the colonization of deglaciated terrains, how these differences evolve through time, and whether patterns are consistent among different taxonomic groups. Here, we used environmental DNA metabarcoding to describe how community diversity and composition of six groups (Eukaryota, Bacteria, Mycota, Collembola, Insecta, Oligochaeta) differ between surface (0-5 cm) and relatively deep (7.5-20 cm) soils at different stages of development across five Alpine glaciers. Taxonomic diversity increased with time since glacier retreat and with soil evolution; the pattern was consistent across different groups and soil depths. For Eukaryota, and particularly Mycota, alpha-diversity was generally the highest in soils close to the surface. Time since glacier retreat was a more important driver of community composition compared to soil depth; for nearly all the taxa, differences in community composition between surface and deep soils decreased with time since glacier retreat, suggesting that the development of soil and/or of vegetation tends to homogenize the first 20 cm of soil through time. Within both Bacteria and Mycota, several molecular operational taxonomic units were significant indicators of specific depths and/or soil development stages, confirming the strong functional variation of microbial communities through time and depth. The complexity of community patterns highlights the importance of integrating information from multiple taxonomic groups to unravel community variation in response to ongoing global changes.",mds,True,findable,79,3,0,2,0,2023-01-19T15:23:50.000Z,2023-01-19T15:23:51.000Z,dryad.dryad,dryad,"Environmental DNA,Insects,glacier retreat,Hill’s number,beta-diversity,soil depth,springtails,Earthworms,micro-organisms,FOS: Earth and related environmental sciences,FOS: Earth and related environmental sciences","[{'subject': 'Environmental DNA'}, {'subject': 'Insects', 'schemeUri': 'https://github.com/PLOS/plos-thesaurus', 'subjectScheme': 'PLOS Subject Area Thesaurus'}, {'subject': 'glacier retreat'}, {'subject': 'Hill’s number'}, {'subject': 'beta-diversity'}, {'subject': 'soil depth'}, {'subject': 'springtails'}, {'subject': 'Earthworms', 'schemeUri': 'https://github.com/PLOS/plos-thesaurus', 'subjectScheme': 'PLOS Subject Area Thesaurus'}, {'subject': 'micro-organisms'}, {'subject': 'FOS: Earth and related environmental sciences', 'subjectScheme': 'fos'}, {'subject': 'FOS: Earth and related environmental sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}]",['22185076 bytes'],
-10.5281/zenodo.6941739,Dataset of publication: Deposit-feeding of Nonionellina labradorica (foraminifera) from an Arctic methane seep site and possible association with a methanotroph,Zenodo,2022,en,Dataset,"Creative Commons Attribution 4.0 International,Open Access","This file contains all TEM (Transmission Electron Microscopy) images of the foraminifera <em>N. labradorica </em>(foraminifera)<em> </em>used in a feeding experiment for the publication DOI: https://doi.org/10.5194/bg-2021-284 Samples were collected at Gas Hydrate Pingo 3 (GHP3), app. 50 km south of Svalbard at 382m water depth at the mouth of Storfjordrenna, Barents Sea. Blade corer (BLC18) used for sampling was taken at following location 76°6'23.7""N 15°58'1.7""E. After sampling a feeding experiment was performed using the marine methanothroph<em> Methyloprofundus sedimenti</em>. More details can be fount in the methods paper. The file contains",mds,True,findable,0,0,0,0,0,2022-08-12T18:51:39.000Z,2022-08-12T18:51:40.000Z,cern.zenodo,cern,"TEM, Transmission electron microscopy, feeding, foraminifera","[{'subject': 'TEM, Transmission electron microscopy, feeding, foraminifera'}]",,
-10.5281/zenodo.7057257,Companion data of Multi-Phase Task-Based HPC Applications: Quickly Learning how to Run Fast,Zenodo,2022,en,Dataset,"Creative Commons Attribution 4.0 International,Open Access","This is the companion data repository for the paper entitled <strong>Multi-Phase Task-Based HPC Applications: Quickly Learning how to Run Fast</strong> by Lucas Leandro Nesi, Lucas Mello Schnorr, and Arnaud Legrand. The manuscript has been accepted for publication in the IPDPS 2022.",mds,True,findable,0,0,0,0,0,2022-09-07T12:02:35.000Z,2022-09-07T12:02:36.000Z,cern.zenodo,cern,,,,
-10.5061/dryad.ksn02v746,DNA metabarcoding data: Altitudinal zonation of green algae biodiversity in the French Alps,Dryad,2021,en,Dataset,Creative Commons Zero v1.0 Universal,"Mountain environments are marked by an altitudinal zonation of habitat types. They are home to a multitude of terrestrial green algae, who have to cope with abiotic conditions specific to high elevation, e.g., high UV irradiance, alternating desiccation, rain and snow precipitations, extreme diurnal variations in temperature and chronic scarceness of nutrients. Even though photosynthetic green algae are key primary producers colonizing open areas and potential markers of climate change, their overall biodiversity in the Alps has been poorly studied so far, in particular in soil, where alga have been shown to be major components of microbial communities. Here, we investigated whether the spatial distribution of green algae followed the altitudinal zonation of the Alps, based on the assumption that algae can spread via airborne spores and settle in their preferred habitats under the pressure of parameters correlated with elevation. We did so by focusing on selected representative elevational gradients at distant locations in the French Alps, where soil samples were collected at different depths. Soil was considered as either a potential natural habitat or temporary reservoir of algae. We showed that algal DNA represented a relatively low proportion of the overall eukaryotic diversity as measured by a universal Eukaryote marker. We designed two novel green algae metabarcoding markers to amplify the Chlorophyta phylum and its Chlorophyceae class, respectively. Using our newly developed markers, we showed that elevation was a strong correlate of species and genus level distribution. Altitudinal zonation was thus determined for about fifty species, with proposed accessions in reference databases. In particular, Planophila laetevirens and Bracteococcus ruber related species as well as the snow alga Sanguina genus were only found in soil starting at 2,000 m above sea level. Analysis of the vertical distribution in soils further highlighted the importance of pH and nitrogen/carbon ratios. This metabolic trait may also determine the Trebouxiophyceae over Chlorophyceae ratio. Guidelines are discussed for future, more robust and precise analyses of environmental algal DNA in soil in mountain ecosystems, to comprehend the distribution of green algae species and dynamics in response to environmental changes.",mds,True,findable,165,12,0,0,0,2021-06-03T23:05:45.000Z,2021-06-03T23:05:47.000Z,dryad.dryad,dryad,"FOS: Biological sciences,FOS: Biological sciences,Chlorophyta,mountain environment,soil,Biodiversity,Sanguina,Snow Algae","[{'subject': 'FOS: Biological sciences', 'subjectScheme': 'fos'}, {'subject': 'FOS: Biological sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Chlorophyta'}, {'subject': 'mountain environment'}, {'subject': 'soil'}, {'subject': 'Biodiversity', 'schemeUri': 'https://github.com/PLOS/plos-thesaurus', 'subjectScheme': 'PLOS Subject Area Thesaurus'}, {'subject': 'Sanguina'}, {'subject': 'Snow Algae'}]",['49624412 bytes'],
-10.5281/zenodo.4964221,"FIGURES 35–38. Protonemura risi, 35 in Two new species of Protonemura Kempny, 1898 (Plecoptera: Nemouridae) from the Italian Alps",Zenodo,2021,,Image,Open Access,"FIGURES 35–38. Protonemura risi, 35. male, epiproct, lateral view. 36. male, paraproct median lobe and outer lobe with bifurcated sclerite. 37. female, ventral view (Jura Mountains). 38. female, ventral view (Massif central, northern flank)",mds,True,findable,0,0,0,0,0,2021-06-16T08:25:42.000Z,2021-06-16T08:25:43.000Z,cern.zenodo,cern,"Biodiversity,Taxonomy","[{'subject': 'Biodiversity'}, {'subject': 'Taxonomy'}]",,
-10.5281/zenodo.6638442,A single hole with enhance coherence in natural silicon,Zenodo,2022,,Dataset,"Creative Commons Attribution 4.0 International,Open Access",A single hole with enhance coherence in natural silicon,mds,True,findable,0,0,0,0,0,2022-06-13T13:50:58.000Z,2022-06-13T13:50:59.000Z,cern.zenodo,cern,,,,
-10.5061/dryad.4rr39,Data from: Highly overlapping winter diet in two sympatric lemming species revealed by DNA metabarcoding,Dryad,2015,en,Dataset,Creative Commons Zero v1.0 Universal,"Sympatric species are expected to minimize competition by partitioning resources, especially when these are limited. Herbivores inhabiting the High Arctic in winter are a prime example of a situation where food availability is anticipated to be low, and thus reduced diet overlap is expected. We present here the first assessment of diet overlap of high arctic lemmings during winter based on DNA metabarcoding of feces. In contrast to previous analyses based on microhistology, we found that the diets of both collared (Dicrostonyx groenlandicus) and brown lemmings (Lemmus trimucronatus) on Bylot Island were dominated by Salix while mosses, which were significantly consumed only by the brown lemming, were a relatively minor food item. The most abundant plant taxon, Cassiope tetragona, which alone composes more than 50% of the available plant biomass, was not detected in feces and can thus be considered to be non-food. Most plant taxa that were identified as food items were consumed in proportion to their availability and none were clearly selected for. The resulting high diet overlap, together with a lack of habitat segregation, indicates a high potential for resource competition between the two lemming species. However, Salix is abundant in the winter habitats of lemmings on Bylot Island and the non-Salix portion of the diets differed between the two species. Also, lemming grazing impact on vegetation during winter in the study area is negligible. Hence, it seems likely that the high potential for resource competition predicted between these two species did not translate into actual competition. This illustrates that even in environments with low primary productivity food resources do not necessarily generate strong competition among herbivores.",mds,True,findable,396,62,1,1,0,2015-02-03T16:24:46.000Z,2015-02-03T16:24:47.000Z,dryad.dryad,dryad,"arctic bryophyte,Diet Analysis,lemming,Lemmus trimucronatus,bryophyte reference library,Boreal,trnL (UAA) intron,Bryophyta,c-h primer pair,Dicrostonyx groenlandicus","[{'subject': 'arctic bryophyte'}, {'subject': 'Diet Analysis'}, {'subject': 'lemming'}, {'subject': 'Lemmus trimucronatus'}, {'subject': 'bryophyte reference library'}, {'subject': 'Boreal'}, {'subject': 'trnL (UAA) intron'}, {'subject': 'Bryophyta'}, {'subject': 'c-h primer pair'}, {'subject': 'Dicrostonyx groenlandicus'}]",['9873653 bytes'],
-10.5281/zenodo.4760471,"Figs. 5-7 in Two New Alpine Leuctra In The L. Braueri Species Group (Plecoptera, Leuctridae)",Zenodo,2011,,Image,"Creative Commons Attribution 4.0 International,Open Access","Figs. 5-7. Leuctra juliettae sp. n.: male abdominal tip in dorsal view (5), male genitalia in ventral view (6), female subgenital plate in ventral view (7).",mds,True,findable,0,0,4,0,0,2021-05-14T05:23:11.000Z,2021-05-14T05:23:12.000Z,cern.zenodo,cern,"Biodiversity,Taxonomy,Animalia,Arthropoda,Insecta,Plecoptera,Leuctridae,Leuctra","[{'subject': 'Biodiversity'}, {'subject': 'Taxonomy'}, {'subject': 'Animalia'}, {'subject': 'Arthropoda'}, {'subject': 'Insecta'}, {'subject': 'Plecoptera'}, {'subject': 'Leuctridae'}, {'subject': 'Leuctra'}]",,
-10.5281/zenodo.3367347,Dataset for ISMIP6 CMIP5 model selection,Zenodo,2019,,Dataset,"Creative Commons Attribution 4.0 International,Open Access","Dataset associated with the manuscript entitled ""CMIP5 model selection for ISMIP6 ice sheet model forcing: Greenland and Antarctica"" for publication in The Cryosphere. This dataset was used to select CMIP5 models as forcing for the ISMIP6 stand-alone Greenland and Antarctica projections.",mds,True,findable,0,0,0,0,0,2019-08-14T14:33:26.000Z,2019-08-14T14:33:26.000Z,cern.zenodo,cern,"climate,CMIP5,Antarctica,Greenland","[{'subject': 'climate'}, {'subject': 'CMIP5'}, {'subject': 'Antarctica'}, {'subject': 'Greenland'}]",,
+Co-authorship: depending on the contribution of the data to the scientific results obtained, the authors should either propose co-authorship to the data providers or at least acknowledge their contribution.",Documentation of rainfall in the Sahelian zone. The aim is to characterize the temporal variability of rainfall at regional scales.,mds,True,findable,0,0,1,0,0,2018-03-16T15:37:15.000Z,2018-03-16T15:37:15.000Z,inist.osug,jbru,"Rainfall, precipitation, tropical convection,Sahelian climate,Precipitation Amount (previous 24 hours),Precipitation Amount (previous 5 minutes),Precipitation Amount (previous hour)","[{'subject': 'Rainfall, precipitation, tropical convection', 'subjectScheme': 'main'}, {'subject': 'Sahelian climate', 'subjectScheme': 'main'}, {'subject': 'Precipitation Amount (previous 24 hours)', 'subjectScheme': 'var'}, {'subject': 'Precipitation Amount (previous 5 minutes)', 'subjectScheme': 'var'}, {'subject': 'Precipitation Amount (previous hour)', 'subjectScheme': 'var'}]",,"['CSV', 'NETCDF', 'O&M 1.0']"
10.6084/m9.figshare.23822160,File 6 : Matlab file for part 2 and of the experiment from Mirror exposure following visual body-size adaptation does not affect own body image,The Royal Society,2023,,Dataset,Creative Commons Attribution 4.0 International,File 6 : This matlab file corresponds to the adaptation and post adaptation PSE measures and should be launched second.,mds,True,findable,0,0,0,0,0,2023-08-02T11:18:28.000Z,2023-08-02T11:18:28.000Z,figshare.ars,otjm,"Cognitive Science not elsewhere classified,Psychology and Cognitive Sciences not elsewhere classified","[{'subject': 'Cognitive Science not elsewhere classified'}, {'subject': 'Psychology and Cognitive Sciences not elsewhere classified'}]",['20342 Bytes'],
-10.5281/zenodo.1256648,Ripple Complex Experiments Data Set At Ciem Large Scale Wave Flume Within Hydralab + Project.,Zenodo,2018,,Dataset,"Creative Commons Attribution 4.0,Open Access","The RIPCOM experiments (RIPple COMplex experiments) are presented in order to study the ripple growth conditions on large wave flume tests under fine unimodal, coarse unimodal and mixed sands conditions. The main objectives of the experiments is to improve and understand the protocols to perform mixed sediment experiments within the ripple regime and use/improve the equipment developed at Task 9.1 of the COMPLEX Joint Research Activity within Hydralab+. The experiments were carried out in the large scale wave flume CIEM at Universitat Politècnica de Catalunya (UPC), Barcelona.
-The experimental plan is divided in three steps:
-1. Find the optimum wave conditions that ensure ripples (based on measured velocities and previous literature studies) on the study area. Test the targeted waves with unimodal fine sediment (d 50 =0.250 mm) and measure the obtained ripples under the tested conditions. From the obtained measurements, the waves to be used on the next two steps are selected in order to fix the best conditions to produce ripples within the experimental constrains.
-2. The 13 upper cm of the fine sediment is removed and replaced by the coarser sediment (d 50 =0.545 mm). Once that is done the selected waves to be tested are reproduced and the bottom bedforms are measured.
-3. Mix both sediments fine and coarser sand homogeneously in order to repeat the selected wave conditions and measure the ripples growth and evolution under mixed sediment conditions.
-Due to its size, the data set can not be placed on this repository and will be provided on demand. Please contact with the authors or with the data manager of the CIEM installation.",,True,findable,0,0,0,0,0,2018-05-31T13:26:34.000Z,2018-05-31T13:26:34.000Z,cern.zenodo,cern,"large scale experiments,wave flume,mobile bed,ripples,sediment transport","[{'subject': 'large scale experiments'}, {'subject': 'wave flume'}, {'subject': 'mobile bed'}, {'subject': 'ripples'}, {'subject': 'sediment transport'}]",,
-10.5281/zenodo.4776419,PACT1D/PACT-1D-CALNEX: PACT-1D model version v1 for the CALNEX case study,Zenodo,2021,,Software,Open Access,"We present a new one-dimensional chemistry and transport model which performs surface chemistry based on molecular collisions and chemical conversion, allowing us to add detailed HONO formation chemistry at the ground. The model is called Platform for Atmospheric Chemistry and Transport in 1-Dimension (PACT-1D), which is used here for used CALNEX data interpretation as discussed in Tuite et al 2021 (DOI to follow).",mds,True,findable,0,0,0,0,0,2021-05-20T16:15:44.000Z,2021-05-20T16:25:53.000Z,cern.zenodo,cern,,,,
-10.5281/zenodo.1173088,Results of the ice sheet model initialisation experiments initMIP-Greenland: an ISMIP6 intercomparison,Zenodo,2018,en,Dataset,"Creative Commons Attribution Non Commercial 4.0 International,Open Access","This archive provides the forcing data and ice sheet model output produced as part of the publication ""Design and results of the ice sheet model initialisation experiments initMIP-Greenland: an ISMIP6 intercomparison"", published in The Cryosphere, https://www.the-cryosphere.net/12/1433/2018/ Goelzer, H., Nowicki, S., Edwards, T., Beckley, M., Abe-Ouchi, A., Aschwanden, A., Calov, R., Gagliardini, O., Gillet-Chaulet, F., Golledge, N. R., Gregory, J., Greve, R., Humbert, A., Huybrechts, P., Kennedy, J. H., Larour, E., Lipscomb, W. H., Le clec´h, S., Lee, V., Morlighem, M., Pattyn, F., Payne, A. J., Rodehacke, C., Rückamp, M., Saito, F., Schlegel, N., Seroussi, H., Shepherd, A., Sun, S., van de Wal, R., and Ziemen, F. A.: Design and results of the ice sheet model initialisation experiments initMIP-Greenland: an ISMIP6 intercomparison, The Cryosphere, 12, 1433-1460, 2018, doi:10.5194/tc-12-1433-2018. Contact: Heiko Goelzer, h.goelzer@uu.nl Further information on ISMIP6 and initMIP-Greenland can be found here:<br> http://www.climate-cryosphere.org/activities/targeted/ismip6<br> http://www.climate-cryosphere.org/wiki/index.php?title=InitMIP-Greenland Users should cite the original publication when using all or part of the data. <br> In order to document CMIP6’s scientific impact and enable ongoing support of CMIP, users are also obligated to acknowledge CMIP6, ISMIP6 and the participating modelling groups. <br> *** Important note ***<br> For consistency with future ISMIP6 intercomparison exercises and some observational data sets, we have re-gridded all output to a diagnostic grid following the EPSG:3413 specifications, which differs from the grid originally used to distribute the forcing data. We also provide the forcing data conservatively interpolated to the new grid. <br> Archive overview<br> ----------------<br> README.txt - this information dSMB.zip - The original surface mass balance anomaly forcing data and description<br> dSMB/<br> dsmb_01B13_ISMIP6_v2.nc<br> dsmb_05B13_ISMIP6_v2.nc<br> dsmb_10B13_ISMIP6_v2.nc<br> dsmb_20B13_ISMIP6_v2.nc<br> README_dSMB_v2.txt dSMB_epsg3413.zip - The surface mass balance anomaly forcing data and description, interpolated to the new grid on EPSG:3413<br> dSMB_epsg3413/<br> dsmb_01e3413_ISMIP6_v2.nc<br> dsmb_05e3413_ISMIP6_v2.nc<br> dsmb_10e3413_ISMIP6_v2.nc<br> dsmb_20e3413_ISMIP6_v2.nc<br> README_dSMB_v2_epsg3413.txt <group>_<model>_<experiment>.zip - The model output per group, model and experiment (init, ctrl, asmb)<br> <group1>_<model1>_init/<br> acabf_GIS_<group1>_<model1>_init.nc<br> ...<br> <group1>_<model1>_ctrl/<br> acabf_GIS_<group1>_<model1>_ctrl.nc<br> ...<br> <group1>_<model1>_asmb/<br> acabf_GIS_<group1>_<model1>_asmb.nc<br> ... <group1>_<model2>_init/<br> ...<br> <group1>_<model2>_ctrl/<br> ...<br> <group1>_<model2>_asmb/<br> ... <group2>_<model1>_init/<br> ...<br> <group2>_<model1>_ctrl/<br> ... <br> <group2>_<model1>_asmb/ ... The following script may be used to download the content of the archive. #!/bin/bash<br> wget https://zenodo.org/record/1173088/files/README.txt<br> wget https://zenodo.org/record/1173088/files/dSMB_epsg3413.zip<br> wget https://zenodo.org/record/1173088/files/dSMB.zip<br> <br> for amodel in ARC_PISM AWI_ISSM1 AWI_ISSM2 BGC_BISICLES1 BGC_BISICLES2 BGC_BISICLES3 DMI_PISM1 DMI_PISM2 DMI_PISM3 DMI_PISM4 DMI_PISM5 IGE_ELMER1 IGE_ELMER2 ILTS_SICOPOLIS ILTSPIK_SICOPOLIS IMAU_IMAUICE1 IMAU_IMAUICE2 IMAU_IMAUICE3 JPL_ISSM LANL_CISM LSCE_GRISLI MIROC_ICIES1 MIROC_ICIES2 MPIM_PISM UAF_PISM1 UAF_PISM2 UAF_PISM3 UAF_PISM4 UAF_PISM5 UAF_PISM6 UCIJPL_ISSM ULB_FETISH1 ULB_FETISH2 VUB_GISM1 VUB_GISM2; do wget https://zenodo.org/record/1173088/files/${amodel}_init.zip<br> wget https://zenodo.org/record/1173088/files/${amodel}_ctrl.zip<br> wget https://zenodo.org/record/1173088/files/${amodel}_asmb.zip done",mds,True,findable,4,0,1,0,0,2018-05-25T09:34:51.000Z,2018-05-25T09:34:52.000Z,cern.zenodo,cern,"Model output,ISMIP6,intercomparison,Ice sheet model,Greenland ice sheet,initMIP","[{'subject': 'Model output'}, {'subject': 'ISMIP6'}, {'subject': 'intercomparison'}, {'subject': 'Ice sheet model'}, {'subject': 'Greenland ice sheet'}, {'subject': 'initMIP'}]",,
-10.5281/zenodo.7741947,"Data for: ""Land-use intensity influences European tetrapod food-webs""",Zenodo,2023,,Dataset,"Creative Commons Attribution 4.0 International,Open Access","These .Rdata files enable to reproduce results from our article "" Signatures of land use intensity on european tetrapod food-web architectures"" along with the R code provided at: https://github.com/ChrisBotella/foodwebs_vs_land_use - raw_data : Raw data including GBIF and iNaturalist occurrences and IUCN enveloppes used to select sites and generate species presence/absence. We provide this file for transparency and reproducibility of our methodology. - preprocessed_data: preprocessed data (obtained from raw_data) used to generate our article Figures along with the next file. - TrophicNetworksList : .Rdata containing a list of igraph objects, each igraph is a foodweb associated to a site identify by the list element name. - MultiRegMatrices: .Rdata containing especially the pre-computed matrix Y of cells (rows) by food web metrics (columns) and the covariate design matrix X (for the linear regressions) in order to facilitate and accelerate the reproduction of the analyses.",mds,True,findable,0,0,0,0,0,2023-03-16T17:16:19.000Z,2023-03-16T17:16:20.000Z,cern.zenodo,cern,,,,
-10.5061/dryad.fbg79cnx2,"Past, present and future of chamois science",Dryad,2022,en,Dataset,Creative Commons Zero v1.0 Universal,"The chamois Rupicapra spp. is the most abundant mountain ungulate of Europe and the Near East, where it occurs as two species, the Northern chamois R. rupicapra and the Southern chamois R. pyrenaica. Here, we provide a state-of-the-art overview of research trends and the most challenging issues in chamois research and conservation, focusing on taxonomy and systematics, genetics, life history, ecology and behavior, physiology and disease, management, and conservation. Research on Rupicapra has a longstanding history and has contributed substantially to the biological and ecological knowledge of mountain ungulates. Although the number of publications on this genus has markedly increased over the past two decades, major differences persist with respect to knowledge of species and subspecies, with research mostly focusing on the Alpine chamois R. r. rupicapra and, to a lesser extent, the Pyrenean chamois R. p. pyrenaica. In addition, a scarcity of replicate studies of populations of different subspecies and/or geographic areas limits the advancement of chamois science. Since environmental heterogeneity impacts behavioral, physiological and life history traits, understanding the underlying processes would be of great value from both an evolutionary and conservation/management standpoint, especially in the light of ongoing climatic change. Substantial contributions to this challenge may derive from a quantitative assessment of reproductive success, investigation of fine-scale foraging patterns, and a mechanistic understanding of disease outbreak and resilience. Improving conservation status, resolving taxonomic disputes, identifying subspecies hybridization, assessing the impact of hunting and establishing reliable methods of abundance estimation are of primary concern. Despite being one of the most well-known mountain ungulates, substantial field efforts to collect paleontological, behavioral, ecological, morphological, physiological and genetic data on different populations and subspecies are still needed to ensure a successful future for chamois conservation and research.",mds,True,findable,96,2,0,1,0,2022-05-26T14:27:11.000Z,2022-05-26T14:27:12.000Z,dryad.dryad,dryad,"FOS: Biological sciences,FOS: Biological sciences","[{'subject': 'FOS: Biological sciences', 'subjectScheme': 'fos'}, {'subject': 'FOS: Biological sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}]",['1890 bytes'],
-10.5281/zenodo.10037960,FIG. 3 in Passiflora tinifolia Juss. (Passiflora subgenus Passiflora): resurrection and synonymies,Zenodo,2023,,Image,Creative Commons Attribution 4.0 International,"FIG. 3. — Pictures and drawings of P. laurifolia L., P. oblongifolia Pulle, P. gabrielleana Vanderpl. and P. favardensis Kuethe: A, P. laurifolia from Guadeloupe (photograph F. Booms); B, C, P. gabrielleana from Montsinery, near its locus classicus in French Guiana (photograph M. Rome); D, drawing of P. oblongifolia from the holotype Versteeg 652 (from Pulle 1906); E, drawing of P. gabrielleana by J. Vanderplank in Vanderplank & Laurens (2006); F, picture of P. favardensis by Christian Houel in Kuethe (2011). Scale bars: 1 cm.",api,True,findable,0,0,0,0,0,2023-10-24T17:26:34.000Z,2023-10-24T17:26:34.000Z,cern.zenodo,cern,"Biodiversity,Taxonomy","[{'subject': 'Biodiversity'}, {'subject': 'Taxonomy'}]",,
-10.48537/hal-03220302,Homunculus Nimbus,Reseau International Ambiances,2020,en,Text,Creative Commons Attribution Non Commercial No Derivatives 2.0 Generic,"This paper discusses the concepts and process in the creation of homunculus nimbus, an installation made of several sculptural bodies (homunculi) that are used to cover shell-like pavilion that acts as a habitat for the homunculi. Homunculus Nimbus is a projection of a future where synthetic life-forms are commonplace. The exhibit simulates the life-like resting and wake cycles in nocturnal beings by providing quiet and shade in the day and by activating with light and sounds at night through a continuous flow of light patterns in response to each other. From a distance the work is sculptural, but it is a destination as well as an object. Visitors are invited to enter the work, benches provide a place to rest and contemplate, inhabit, and commune.",mds,True,findable,0,0,0,0,0,2021-06-17T16:47:35.000Z,2021-06-17T16:47:35.000Z,jbru.aau,jbru,"Architectonic,Biomimetic,Emotive,File-to-Factory,Digital Fabrication","[{'lang': 'eng', 'subject': 'Architectonic'}, {'lang': 'eng', 'subject': 'Biomimetic'}, {'lang': 'eng', 'subject': 'Emotive'}, {'lang': 'eng', 'subject': 'File-to-Factory'}, {'lang': 'eng', 'subject': 'Digital Fabrication'}]",['6 pages'],['application/pdf']
-10.48537/hal-03220297,"Digital Architecture. Atmospheres in Design and New Responsive & Sensitive Configurations, Session 5 – Introduction",Reseau International Ambiances,2020,en,Text,Creative Commons Attribution Non Commercial No Derivatives 2.0 Generic,,mds,True,findable,0,0,0,0,0,2021-06-17T16:47:27.000Z,2021-06-17T16:47:28.000Z,jbru.aau,jbru,,,['2 pages'],['application/pdf']
-10.48537/hal-03220318,"Ambiences of Empathy and Fear, Cartography of Refugee Encampments in Mainland Greece 2019",Reseau International Ambiances,2020,en,Text,Creative Commons Attribution Non Commercial No Derivatives 2.0 Generic,"Divergent social sensitivities deriving from the ongoing since 2016 refugee crisis in Greece have undoubtedly redefined the landscape of ordinary life accentuating contradictions to the extreme. Focusing on the largest refugee reception facilities of main- land Greece Eleonas in Athens, and Diavata in Thessaloniki, we discuss social and spatial practices responding to refugee accommoda- tion and integration, three years past the peak of the crisis. Featuring original architectural documentations based on situated research, the paper addresses methods of investigation within camps and speculates on the impact of the spatial layout on the redefinition of refugee identity.",fabrica,True,findable,0,0,0,0,0,2021-06-17T21:00:20.000Z,2021-06-17T21:00:20.000Z,jbru.aau,jbru,"European Refugee Crisis,Camps,Shelters,Inhabitation,Agency","[{'lang': 'eng', 'subject': 'European Refugee Crisis'}, {'lang': 'eng', 'subject': 'Camps'}, {'lang': 'eng', 'subject': 'Shelters'}, {'lang': 'eng', 'subject': 'Inhabitation'}, {'lang': 'eng', 'subject': 'Agency'}]",['6 pages'],['application/pdf']
-10.48537/hal-03220381,"Atmosphere, Resonance, and Immanent Transcendence, Rethinking the Aesthetic Experience as a Threefold",Reseau International Ambiances,2020,en,Text,Creative Commons Attribution Non Commercial No Derivatives 2.0 Generic,"The paper reinterprets the concept of æsthetic experience, combining the neo-phenomenological notion of atmosphere with the concept of resonance, developed by Hartmut Rosa, and the concept of immanent transcendence, coined by Dorthe Jørgensen. It hereby distinguishes between three aspects of æsthetic experience, interpreting the æsthetic experience as a sensitive interplay of emotional spatiality (atmosphere), vibrant relationality (resonance), and sensitive cognition (immanent transcendence). The paper suggests that this threefold structure can account for a variety of our sensitive æsthetic experiences in atmospheric situations, some being mainly atmospheric, others mainly resonant, and others deeply meaningful in a more cognitive sense.",mds,True,findable,0,0,0,0,0,2021-06-17T10:17:45.000Z,2021-06-17T10:17:45.000Z,jbru.aau,jbru,"Resonance,Immanent Transcendence,Atmosphere,Sensitivity,Aesthetics","[{'lang': 'eng', 'subject': 'Resonance'}, {'lang': 'eng', 'subject': 'Immanent Transcendence'}, {'lang': 'eng', 'subject': 'Atmosphere'}, {'lang': 'eng', 'subject': 'Sensitivity'}, {'lang': 'eng', 'subject': 'Aesthetics'}]",['6 pages'],['application/pdf']
-10.18709/perscido.2016.08.ds04,LastFM top-50 artists,PerSciDo,2016,en,Dataset,Creative Commons Attribution Non Commercial 4.0 International,A set of users and the 50 artists they listen the most to.,api,True,findable,0,0,0,0,0,2017-11-03T00:58:27.000Z,2017-11-03T00:58:27.000Z,inist.persyval,vcob,Computer Science,"[{'lang': 'en', 'subject': 'Computer Science'}]",['500 MB'],['sql']
-10.5281/zenodo.10262983,Unite! handbook of best practices for effective mainstreaming of open science and innovation at Universities,Unite! Alliance Publications,2023,en,Text,Creative Commons Attribution 4.0 International,"This handbook is a practical guide for facilitating researchers, R&I support services, and university managers to transition from modern science to open science. Based on a comparative case study of 70 research teams across 7 European universities in the Unite! Alliance, this handbook reveals a high-impact understanding of the best open science and innovation practices on Unite! research teams and exposes guidelines for the adoption of these practices. This handbook shapes a new governance model for the management of open science and innovation in universities in the digital era. ",api,True,findable,0,0,0,0,0,2023-12-11T11:19:53.000Z,2023-12-11T11:19:53.000Z,cern.zenodo,cern,"open science,open science management,university governance,open innovation,science and innovation policy,open exploration,european universities alliances","[{'subject': 'open science'}, {'subject': 'open science management'}, {'subject': 'university governance'}, {'subject': 'open innovation'}, {'subject': 'science and innovation policy'}, {'subject': 'open exploration'}, {'subject': 'european universities alliances'}]",,
-10.48537/hal-03220293,"Physical Body Awareness and Virtual Embodiment, A Hybrid Experience of Otherness",Reseau International Ambiances,2020,en,Text,Creative Commons Attribution Non Commercial No Derivatives 2.0 Generic,"Body awareness and embodiment are core terms and research topics being used to comment on the new interdisciplinary aspects of virtual immersive experiences. In this article, we present the methodology adopted in the Disembody research project with the aim to explore body-space relation- ship through the lenses of interdisciplinary considerations drawn from architecture and cognitive science. Employing an empirical, case study approach inside virtual reality (VR), we came up with observations about how virtual embodiment can be experienced as an instance of otherness embodiment that generates a sensation of alloæsthesia. This post-human condition can be bi-directionally fed into re-establishing the body-space rela- tionship towards expanded architectural and cognitive perspectives.",mds,True,findable,0,0,0,0,0,2021-06-17T09:44:04.000Z,2021-06-17T09:44:05.000Z,jbru.aau,jbru,"Body awareness,Virtual Embodiment,Space Perception,Expendable Bodies","[{'lang': 'eng', 'subject': 'Body awareness'}, {'lang': 'eng', 'subject': 'Virtual Embodiment'}, {'lang': 'eng', 'subject': 'Space Perception'}, {'lang': 'eng', 'subject': 'Expendable Bodies'}]",['6 pages'],['application/pdf']
-10.48537/hal-03220272,"Scaling Sensory Experiences; Across Dance, Occupational Therapy and Urban Design",Reseau International Ambiances,2020,en,Text,Creative Commons Attribution Non Commercial No Derivatives 2.0 Generic,"The disciplines of urban design, occupational therapy and dance share an interest in how sensory experience and human movement impact the way atmospheres are produced. The global pandemic has brought about radical shifts in our sensory experience of the world. Bodily gestures both big and small participate in the creation of unspoken yet acutely felt atmospheres that invoke new modes of attention. The notion of ’scaling sensory experiences’ emphasizes that scale is a non-static continually shifting condition that connects bodies and environments. This research calls for a nuanced understanding of other disciplinary worlds in order to plant the seeds for renewed sensory modes of designing, living and dancing that are much needed as we contemplate our post-pandemic atmosphere.",mds,True,findable,0,0,0,0,0,2021-06-17T09:44:26.000Z,2021-06-17T09:44:27.000Z,jbru.aau,jbru,"Occupational Therapy,Dance,Movement,Sensory,Scaling,Pandemic,Body","[{'lang': 'eng', 'subject': 'Occupational Therapy'}, {'lang': 'eng', 'subject': 'Dance'}, {'lang': 'eng', 'subject': 'Movement'}, {'lang': 'eng', 'subject': 'Sensory'}, {'lang': 'eng', 'subject': 'Scaling'}, {'lang': 'eng', 'subject': 'Pandemic'}, {'lang': 'eng', 'subject': 'Body'}]",['6 pages'],['application/pdf']
-10.48537/hal-03220312,"Heritage / Fiction, For a Retro-Prospective of Dwelling-in-Ambiances",Reseau International Ambiances,2020,en,Text,Creative Commons Attribution Non Commercial No Derivatives 2.0 Generic,"The sense of dwelling in a place is founded on multiple sources. Seeing and recounting the resultant constructions remain one of the major challenges we face in attempting to understand usages and the capacity of a place to renew itself while maintaining what makes it specific and whose ambiance is both a catalyst and a revelatory agent. Based on Etienne Souriau’s works on modes of existence, reviewed by David Lapoujade, we will study the ways in which it is possible to see in a projectual framework a retro-prospective approaches of dwelling-in-ambiances. To illus- trate these propositions, we will rely on an urban project that we developed: “L’Affaire de l’aqueduc de la Reine PeÌdauque†(Toulouse, France).",mds,True,findable,0,0,0,0,0,2021-06-17T20:46:06.000Z,2021-06-17T20:46:07.000Z,jbru.aau,jbru,"Ambiance,Heritage,Fiction,Modes of Existence,the Becomings of a Place","[{'lang': 'eng', 'subject': 'Ambiance'}, {'lang': 'eng', 'subject': 'Heritage'}, {'lang': 'eng', 'subject': 'Fiction'}, {'lang': 'eng', 'subject': 'Modes of Existence'}, {'lang': 'eng', 'subject': 'the Becomings of a Place'}]",['6 pages'],['application/pdf']
-10.18709/perscido.2017.06.ds80,SPEECH-COCO,PerSciDo,2017,en,Dataset,Creative Commons Attribution 4.0 International,"SPEECH-COCO is an augmentation of MS-COCO dataset where speech is added to image and text. Speech captions were generated using text-to-speech (TTS) synthesis resulting in 616,767 spoken captions (>600h) paired with images. Disfluencies and speed perturbation were added to the signal in order to sound more natural. Each speech signal (WAV) is paired with a JSON file containing exact timecode for each word/syllable/phoneme in the spoken caption. Such a corpus could be used for Language and Vision (LaVi) tasks including speech input or output instead of text.",api,True,findable,0,0,0,0,0,2017-07-11T08:41:11.000Z,2017-07-11T08:41:11.000Z,inist.persyval,vcob,"Computer Science,Linguistics,FOS: Languages and literature,FOS: Languages and literature","[{'lang': 'en', 'subject': 'Computer Science'}, {'lang': 'en', 'subject': 'Linguistics'}, {'subject': 'FOS: Languages and literature', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'FOS: Languages and literature', 'subjectScheme': 'Fields of Science and Technology (FOS)'}]",['57 GB'],"['wav', 'json', 'sql']"
-10.48537/10.48537/hal-03220281,"Room for Transition by Aesthetic Empowerment?, Atmospheres and Sensory Experiences of a New Hospital Birth Environment",Reseau International Ambiances,2020,en,Text,Creative Commons Attribution Non Commercial No Derivatives 2.0 Generic,"This paper focuses on how the design, aesthethics and atmosphere of a new hospital birth environment affects the experiences of new fathers. Based on a phenomenological study it shows how atmospheres are experienced in a new birthing room intended to stimulate the senses in a comforting and equanimity-evoking way, and especially how the fathers attuned themselves to the situ- ation of being present at the birth of their new-born infant. Studying fathers’ transition to parenthood through the lens of atmosphere and interrogating the meaning of atmosphere in hospital rooms offers a more nuanced approach to our understanding of the relationship between people, space, time and event in future design of new hospital rooms.",fabricaForm,True,findable,0,0,0,0,0,2021-06-17T21:21:41.000Z,2021-06-17T21:22:03.000Z,jbru.aau,jbru,"Atmosphere,Aesthetics,Hospital Design,Re-Enactment,Sensory Experience","[{'subject': 'Atmosphere'}, {'subject': 'Aesthetics'}, {'subject': 'Hospital Design'}, {'subject': 'Re-Enactment'}, {'subject': 'Sensory Experience'}]",['6 pages'],['application/pdf']
-10.48537/hal-03220298,"The Formation of the Technological Sensitivity, Gaining a New Perspective on Existing Objects",Reseau International Ambiances,2020,en,Text,Creative Commons Attribution Non Commercial No Derivatives 2.0 Generic,"This article aims to clarify how recent transformations in the field of archi- tecture, chiefly the availability of new digital design tools, have introduced new ways of approaching projects. It will delve into the philosopher of science Gaston Bachelard’s thought and the notion of phenomenotechnique in order to explore the off-centre position of the architect. Mastering these tools has inculcated in architects a ‘technological sensibility’. The formation of this sensibility has expanded architects’ vision beyond the potential of the technologies themselves to finding new perspectives on more traditional architectural considerations.",mds,True,findable,0,0,0,0,0,2021-06-17T10:17:07.000Z,2021-06-17T10:17:07.000Z,jbru.aau,jbru,"Digital Architecture,Technological Sensibility,Phenomenotechnique","[{'lang': 'eng', 'subject': 'Digital Architecture'}, {'lang': 'eng', 'subject': 'Technological Sensibility'}, {'lang': 'eng', 'subject': 'Phenomenotechnique'}]",['5 pages'],['application/pdf']
-10.18709/perscido.2016.10.ds06,MovieLens+IMDb,PerSciDo,2016,en,Dataset,,MovieLens 1M dataset enriched with IMDB on movie attributes.,api,True,findable,0,0,0,0,0,2017-11-03T14:41:05.000Z,2017-11-03T14:41:05.000Z,inist.persyval,vcob,Computer Science,"[{'lang': 'en', 'subject': 'Computer Science'}]",['16 MB'],
-10.48380/7gdm-j630,"Key role of Fe-carbonates in natural H2 production? Evidence from the spatial link between barren ground depressions, gold deposit and H2 emissions",Deutsche Geologische Gesellschaft - Geologische Vereinigung e.V. (DGGV),2023,en,Text,,"<p>Even if measurements of high H<sub>2</sub> concentrations in continental rocks have significantly increased in the last decade, the origin of H<sub>2</sub> remains enigmatic in this context. Here we show that the localities in continental rocks where H<sub>2</sub>-rich gases have been reported are mainly located near orogenic gold deposits. Two types of geomorphological features were identified near orogenic gold deposits on satellite images. They consist in both barren ground depressions and high densities of self-organized, small (< 20 m in diameter) circular- and comet-shaped white spots in 32 and 7 localities, respectively. Fe-carbonates commonly occur near gold deposits since gold is transported in CO<sub>2</sub>-rich fluids. Thermodynamic modelling reveal here that they can further dissolve in the presence of aqueous fluid to produce magnetite and up to ~ 1 mole of H<sub>2 </sub>per kg of rock. This reaction leads to a volume decrease of ~ 50 %. Based on these findings, we propose that Fe-carbonate dissolution could be the primary source of H<sub>2</sub> in orogenic gold deposit areas, and involved in the formation of the geomorphological structures reported here. The association between H<sub>2</sub>-rich gas and ground depressions was also observed near other formations containing Fe-carbonates such as iron formations and carbonatites. This suggests that H<sub>2</sub> production through Fe-carbonate dissolution is not restricted to gold deposits. The global H<sub>2</sub> production in crustal rocks associated with Fe-carbonate alteration is estimated to 3 x 10<sup>5</sup> mol/yr.</p>
-",api,True,findable,0,0,0,0,0,2023-12-11T21:15:35.000Z,2023-12-11T21:15:35.000Z,mcdy.dohrmi,mcdy,,,,
-10.48537/hal-03220383,"Ambient Outlines of Children’s Urban Experience, A Look Back at an Interpretative Methodology",Reseau International Ambiances,2020,en,Text,Creative Commons Attribution Non Commercial No Derivatives 2.0 Generic,"Ambient perception in virtual reality is split between perceiving the virtual space inside the headset and perceiving the surrounding physical environment. While promises of VR “immersion†frequently ignore the surrounding space, an ambient perspective reveals how immersion in VR is always at least double: any immersion in virtual space comes nested within an immersion in the atmospheres already surrounding VR use. This essay seeks to understand how these two layers cohere both spatially and temporally across the interface of the VR headset. An ambient perspective on VR demonstrates how even the most immersive media must be understood as shaped by the spaces surrounding the interface itself.",fabricaForm,True,findable,0,0,0,0,0,2021-06-08T09:32:48.000Z,2021-06-08T09:33:29.000Z,jbru.aau,jbru,"Ambiances,Children,Commented City Walks,Interpretative Methods","[{'lang': 'eng', 'subject': 'Ambiances'}, {'lang': 'eng', 'subject': 'Children'}, {'lang': 'eng', 'subject': 'Commented City Walks'}, {'lang': 'eng', 'subject': 'Interpretative Methods'}]",['6 pages'],['application/pdf']
-10.18709/perscido.2023.02.ds384,Championship Value Prediction 1 Secret Traces,PerSCiDO,2023,,Dataset,,"The following traces are 2013 ""secret"" execution traces that were generated for the Championship Value Prediction 1 (https://www.microarch.org/cvp1/cvp1online/contestants.html) that took place with the IEEE/ACM International Symposium on Computer Architecture (ISCA) 2018. There traces contain instructions executed by ARMv8 workloads of interest to CPU design. The traces only contain partial information and are anonymized, in the sense that the program from which a given trace was generated is not available. All traces used in CVP-1 were released to the public domain after CVP-1.
+10.17178/emaa_oh_hyperfine_83ce026b,Hyperfine excitation of OH by ortho-H2 and para-H2 collisions,"UGA, CNRS, CNRS-INSU, OSUG",2021,en,Dataset,"Please acknowledge the use of EMAA Database by citing the original articles in which the data were published (BibTeX format available), and adding the following sentence in your publication:
+This research has made use of spectroscopic and collisional data from the EMAA database (https://emaa.osug.fr). EMAA is supported by the Observatoire des Sciences de l'Univers de Grenoble (OSUG),Creative Commons Attribution 4.0 International,Data access and use are ruled by the EMAA data policy.",24 hyperfine energy levels / 95 radiative transitions / 264 collisional transitions for para-H2 (7 temperatures in the range 10-150K) / 264 collisional transitions for ortho-H2 (7 temperatures in the range 10-150K),mds,True,findable,0,0,0,0,0,2021-11-17T14:01:27.000Z,2021-11-17T14:01:29.000Z,inist.osug,jbru,"target OH,excitationType Hyperfine,collisional excitation,collider.0 para-H2,collider.1 ortho-H2,astrophysics,interstellar medium,comets,circumstellar medium,gas,microwave spectroscopy,infrared spectroscopy,rotational excitation,rovibrational excitation,vibrational excitation,electronic excitation,collisional rate coefficients,fine structure,hyperfine structure","[{'subject': 'target OH', 'subjectScheme': 'main'}, {'subject': 'excitationType Hyperfine', 'subjectScheme': 'main'}, {'subject': 'collisional excitation', 'subjectScheme': 'main'}, {'subject': 'collider.0 para-H2', 'subjectScheme': 'var'}, {'subject': 'collider.1 ortho-H2', 'subjectScheme': 'var'}, {'subject': 'astrophysics', 'subjectScheme': 'var'}, {'subject': 'interstellar medium', 'subjectScheme': 'var'}, {'subject': 'comets', 'subjectScheme': 'var'}, {'subject': 'circumstellar medium', 'subjectScheme': 'var'}, {'subject': 'gas', 'subjectScheme': 'var'}, {'subject': 'microwave spectroscopy', 'subjectScheme': 'var'}, {'subject': 'infrared spectroscopy', 'subjectScheme': 'var'}, {'subject': 'rotational excitation', 'subjectScheme': 'var'}, {'subject': 'rovibrational excitation', 'subjectScheme': 'var'}, {'subject': 'vibrational excitation', 'subjectScheme': 'var'}, {'subject': 'electronic excitation', 'subjectScheme': 'var'}, {'subject': 'collisional rate coefficients', 'subjectScheme': 'var'}, {'subject': 'fine structure', 'subjectScheme': 'var'}, {'subject': 'hyperfine structure', 'subjectScheme': 'var'}]",,['Radex']
+10.5281/zenodo.2575055,robertxa/pyswath: Second release of pyswath,Zenodo,2019,,Software,Open Access,Python module to extract swath profiles from a raster. This is the second release.,mds,True,findable,0,0,0,1,0,2019-02-21T19:49:43.000Z,2019-02-21T19:49:44.000Z,cern.zenodo,cern,,,,
+10.17178/draixbleone_gal_ain_dsd_1920,"Drop Size Distribution (DSD) at Ainac (Lat : 44,21492 ; Lon : 6,21085)",IGE - CNRS - OSUG,2020,en,Dataset,"Creative Commons Attribution 4.0 International,The following acknowledging sentence should appear in publications using data and products from the Galabre watershed of the Draix Bleone Observatory: ""DRAIX BLEONE is funded by the Institut National des Sciences de l’Univers (INSU/CNRS) and the Observatoire des Sciences de l’Univers de Grenoble (OSUG / Université Grenoble Alpes)â€.,Always quote below citation to Legout et al. (submitted) when using these data. Legout C., Freche G., Biron R., Esteves M., Nord G, Navratil O., Uber M., Grangeon T., Hachgenei N., Boudevillain B. Voiron C., Spadini L. A critical zone observatory dedicated to suspended sediment transport: the meso-scale Galabre catchment (southern French Alps), submitted to Hydrological Processes.",This DSD data set is part of the DRAIXBLEONE_GAL observatory.,mds,True,findable,0,0,0,0,0,2020-09-15T15:58:31.000Z,2020-09-15T15:58:32.000Z,inist.osug,jbru,"Mediterranean mountainous climate,Precipitation,Meteorology","[{'subject': 'Mediterranean mountainous climate', 'subjectScheme': 'main'}, {'subject': 'Precipitation', 'subjectScheme': 'var'}, {'subject': 'Meteorology', 'subjectScheme': 'var'}]",,['CSV']
+10.48537/hal-03220308,"Raw Materials and Emphasis on Tactile Perceptions to Create Atmospheres, A Tactile Experiment to Explore Bodily Sensations",Reseau International Ambiances,2020,en,Text,Creative Commons Attribution Non Commercial No Derivatives 2.0 Generic,"Vernacular architectures mirror the territory where they are inscribed; contempo- rary architecture seems to be uprooted. As a counterpoint to a trend towards abstraction, can the use of the bio-based materials and the promotion of a tactile and more direct relationship to the world be allies to create architectural spaces that reaffirm a sensitive link to the body and reanimate a genius of the place (Berque, 2016)? “Dressing as a second skin†is the beginning of a serial of tactile experiments who will explore the architectural potential of bio-sourced materials in relation to bodily sensations in a space.",mds,True,findable,0,0,0,0,0,2021-06-17T16:48:40.000Z,2021-06-17T16:48:40.000Z,jbru.aau,jbru,"Touch,Raw Matter,Atmosphere,Bio-Based Materials,Haptic,Materiality,Texture","[{'lang': 'eng', 'subject': 'Touch'}, {'lang': 'eng', 'subject': 'Raw Matter'}, {'lang': 'eng', 'subject': 'Atmosphere'}, {'lang': 'eng', 'subject': 'Bio-Based Materials'}, {'lang': 'eng', 'subject': 'Haptic'}, {'lang': 'eng', 'subject': 'Materiality'}, {'lang': 'eng', 'subject': 'Texture'}]",['6 pages'],['application/pdf']
+10.5281/zenodo.7795898,Calibration methodology of low-costs sensors for high-quality monitoring of fine particulate matter,Zenodo,2023,,Software,"Creative Commons Attribution 4.0 International,Embargoed Access","This repository contains the code used to extract dusts as mentioned in the manuscript “Calibration methodology of low-costs sensors for high-quality monitoring of fine particulate matterâ€. Important preliminary steps : 1. If you don't have a CDS account, register here : https://cds.climate.copernicus.eu/user/register?destination=%2F%23!%2Fhome<br> 2. follow all instructions here : https://cds.climate.copernicus.eu/api-how-to<br> (as explained, you should install cdsapi and the CDS API key) Documentation for the dataset here: https://ads.atmosphere.copernicus.eu/cdsapp#!/dataset/cams-europe-air-quality-forecasts?tab=overview In case of issue downloading data, it is recommended to make a larger number of requests with smaller date ranges. Credits : Météo-France, Institut National de l'Environnement Industriel et des Risques (Ineris), Aarhus University, Norwegian Meteorological Institute (MET Norway), Jülich Institut für Energie- und Klimaforschung (IEK), Institute of Environmental Protection – National Research Institute (IEP-NRI), Koninklijk Nederlands Meteorologisch Instituut (KNMI), Nederlandse Organisatie voor toegepast-natuurwetenschappelijk onderzoek (TNO), Swedish Meteorological and Hydrological Institute (SMHI), Finnish Meteorological Institute (FMI), 2020. CAMS European air quality forecasts, ENSEMBLE data. Copernicus Atmosphere Monitoring Service (CAMS) Atmosphere Data Store (ADS). https://ads.atmosphere.copernicus.eu/cdsapp#!/dataset/cams-europe-air-quality-forecasts?tab=overview (accessed 2023.04.03).",mds,True,findable,0,0,0,0,0,2023-04-04T07:42:59.000Z,2023-04-04T07:43:30.000Z,cern.zenodo,cern,"PM1,PM2.5,PM10,sensors calibration,dusts,machine learning","[{'subject': 'PM1'}, {'subject': 'PM2.5'}, {'subject': 'PM10'}, {'subject': 'sensors calibration'}, {'subject': 'dusts'}, {'subject': 'machine learning'}]",,
+10.5167/uzh-237519,A longitudinal study of individual difference in foreign language pronunciation development: The case of vowel production in Ecuadorian learners of English,Université Grenoble-Alpes,2023,,Text,,,api,True,findable,0,0,0,0,0,2023-10-25T01:07:15.000Z,2023-10-25T01:07:15.000Z,ethz.zora,kadq,,,,
+10.57745/5o6qih,The EVE Pilot: Usage Data from an Electric Car in France,Recherche Data Gouv,2023,,Dataset,,"This dataset contains the usage data of a single electric car collected in as part of the EVE study (Enquête des Vehicles Electrique) run by the Observatoire du Transition Energétique Grenoble (OTE-UGA). This dataset includes the following variables for a single Renault ZOE 2014 Q90: - Speed, distance covered, and other drivetrain data variables; - State of charge, State of health and other battery characteristics; as well as - external temperature variables. The Renault ZOE 2014 Q90 has a battery capacity of 22 KWh and a maximum speed of 135 KM/h. More information about on the specifications can be found here The electric car is used for personal use exclusively including occasional transit to work but mostly for personal errands and trips. The dataset was collected using a CanZE app and a generic car lighter dongle. The dataset spans two years from October 2020 to August 2022. A simple Python notebook that visualises the datasets can be found here. More complex usecases for the datasets can be found in the following links: - Comparison of the carbon footprint of driving across countries: link - Feedback indicators of electric car charging behaviours: link There is also more information on the collection process and other potential uses in the data paper here. Please don't hesitate to contact the authors if you have any further questions about the dataset.",mds,True,findable,35,0,0,0,0,2023-08-31T07:08:06.000Z,2023-10-13T07:32:19.000Z,rdg.prod,rdg,,,,
+10.17178/emaa_dnc_rotation_65a4bdbe,"Rotation excitation of DNC by electron, ortho-H2 and para-H2 collisions","UGA, CNRS, CNRS-INSU, OSUG",2021,en,Dataset,"Please acknowledge the use of EMAA Database by citing the original articles in which the data were published (BibTeX format available), and adding the following sentence in your publication:
+This research has made use of spectroscopic and collisional data from the EMAA database (https://emaa.osug.fr). EMAA is supported by the Observatoire des Sciences de l'Univers de Grenoble (OSUG),Creative Commons Attribution 4.0 International,Data access and use are ruled by the EMAA data policy.",17 rotation energy levels / 16 radiative transitions / 136 collisional transitions for para-H2 (12 temperatures in the range 5-500K) / 136 collisional transitions for ortho-H2 (12 temperatures in the range 5-500K) / 36 collisional transitions for electron (10 temperatures in the range 10-1000K),mds,True,findable,0,0,0,0,0,2022-02-07T11:24:30.000Z,2022-02-07T11:24:31.000Z,inist.osug,jbru,"target DNC,excitationType Rotation,collisional excitation,collider.0 para-H2,collider.1 ortho-H2,collider.2 electron,astrophysics,interstellar medium,comets,circumstellar medium,gas,microwave spectroscopy,infrared spectroscopy,rotational excitation,rovibrational excitation,vibrational excitation,electronic excitation,collisional rate coefficients,fine structure,hyperfine structure","[{'subject': 'target DNC', 'subjectScheme': 'main'}, {'subject': 'excitationType Rotation', 'subjectScheme': 'main'}, {'subject': 'collisional excitation', 'subjectScheme': 'main'}, {'subject': 'collider.0 para-H2', 'subjectScheme': 'var'}, {'subject': 'collider.1 ortho-H2', 'subjectScheme': 'var'}, {'subject': 'collider.2 electron', 'subjectScheme': 'var'}, {'subject': 'astrophysics', 'subjectScheme': 'var'}, {'subject': 'interstellar medium', 'subjectScheme': 'var'}, {'subject': 'comets', 'subjectScheme': 'var'}, {'subject': 'circumstellar medium', 'subjectScheme': 'var'}, {'subject': 'gas', 'subjectScheme': 'var'}, {'subject': 'microwave spectroscopy', 'subjectScheme': 'var'}, {'subject': 'infrared spectroscopy', 'subjectScheme': 'var'}, {'subject': 'rotational excitation', 'subjectScheme': 'var'}, {'subject': 'rovibrational excitation', 'subjectScheme': 'var'}, {'subject': 'vibrational excitation', 'subjectScheme': 'var'}, {'subject': 'electronic excitation', 'subjectScheme': 'var'}, {'subject': 'collisional rate coefficients', 'subjectScheme': 'var'}, {'subject': 'fine structure', 'subjectScheme': 'var'}, {'subject': 'hyperfine structure', 'subjectScheme': 'var'}]",,['Radex']
+10.48537/hal-03220304,"Development of the Integrated Approach on the impact of the Climate Adaptive Building Shells, on the Performance and Energy Efficiency of Building",Reseau International Ambiances,2020,en,Text,Creative Commons Attribution Non Commercial No Derivatives 2.0 Generic,"The consolidation of environment, and technology represents an ample conjunc- tion of developed and innovative elements to serve the landscape. Construction performance depends not only on the operation of individual elements in the building but also on how they behave as integrated approach to satisfy the user demands. In architecture, projects are contained of different phases of architecture process, and several factors need to be considered among this cycle, such as climate, building shape, comfort levels, materials and systems, occupant health and security. Climate Adaptive Building Shells are important, as they are starting point of energy efficiency measures, the main determinant of the amount of energy required for heating, cooling and ventilation.",mds,True,findable,0,0,0,0,0,2021-06-17T10:17:36.000Z,2021-06-17T10:17:37.000Z,jbru.aau,jbru,"Climate Adaptive Building Shells,Energy Efficiency,Building and Environment,Sustainable Architecture,Facade Design","[{'lang': 'eng', 'subject': 'Climate Adaptive Building Shells'}, {'lang': 'eng', 'subject': 'Energy Efficiency'}, {'lang': 'eng', 'subject': 'Building and Environment'}, {'lang': 'eng', 'subject': 'Sustainable Architecture'}, {'lang': 'eng', 'subject': 'Facade Design'}]",['6 pages'],['application/pdf']
+10.17178/emaa_para-h2c(18o)_rotation_8f130c2d,Rotation excitation of para-H2C[18O] by ortho-H2 and para-H2 collisions,"UGA, CNRS, CNRS-INSU, OSUG",2022,en,Dataset,"Please acknowledge the use of EMAA Database by citing the original articles in which the data were published (BibTeX format available), and adding the following sentence in your publication:
+This research has made use of spectroscopic and collisional data from the EMAA database (https://emaa.osug.fr). EMAA is supported by the Observatoire des Sciences de l'Univers de Grenoble (OSUG),Creative Commons Attribution 4.0 International,Data access and use are ruled by the EMAA data policy.",27 rotation energy levels / 56 radiative transitions / 351 collisional transitions for ortho-H2 (21 temperatures in the range 10-300K) / 351 collisional transitions for para-H2 (21 temperatures in the range 10-300K),mds,True,findable,0,0,0,0,0,2022-06-08T11:35:19.000Z,2022-06-08T11:35:20.000Z,inist.osug,jbru,"target para-H2C[18O],excitationType Rotation,collisional excitation,collider.0 ortho-H2,collider.1 para-H2,astrophysics,interstellar medium,comets,circumstellar medium,gas,microwave spectroscopy,infrared spectroscopy,rotational excitation,rovibrational excitation,vibrational excitation,electronic excitation,collisional rate coefficients,fine structure,hyperfine structure","[{'subject': 'target para-H2C[18O]', 'subjectScheme': 'main'}, {'subject': 'excitationType Rotation', 'subjectScheme': 'main'}, {'subject': 'collisional excitation', 'subjectScheme': 'main'}, {'subject': 'collider.0 ortho-H2', 'subjectScheme': 'var'}, {'subject': 'collider.1 para-H2', 'subjectScheme': 'var'}, {'subject': 'astrophysics', 'subjectScheme': 'var'}, {'subject': 'interstellar medium', 'subjectScheme': 'var'}, {'subject': 'comets', 'subjectScheme': 'var'}, {'subject': 'circumstellar medium', 'subjectScheme': 'var'}, {'subject': 'gas', 'subjectScheme': 'var'}, {'subject': 'microwave spectroscopy', 'subjectScheme': 'var'}, {'subject': 'infrared spectroscopy', 'subjectScheme': 'var'}, {'subject': 'rotational excitation', 'subjectScheme': 'var'}, {'subject': 'rovibrational excitation', 'subjectScheme': 'var'}, {'subject': 'vibrational excitation', 'subjectScheme': 'var'}, {'subject': 'electronic excitation', 'subjectScheme': 'var'}, {'subject': 'collisional rate coefficients', 'subjectScheme': 'var'}, {'subject': 'fine structure', 'subjectScheme': 'var'}, {'subject': 'hyperfine structure', 'subjectScheme': 'var'}]",,['Radex']
+10.17178/draixbleone_gal.all,DRAIXBLEONE Galabre Observatory,IGE - CNRS - OSUG,2020,en,Dataset,"Creative Commons Attribution 4.0 International,The following acknowledging sentence should appear in publications using data and products from the Galabre watershed of the Draix Bleone Observatory: ""DRAIX BLEONE is funded by the Institut National des Sciences de l’Univers (INSU/CNRS) and the Observatoire des Sciences de l’Univers de Grenoble (OSUG / Université Grenoble Alpes)â€.,Always quote below citation to Legout et al. (submitted) when using these data. Legout C., Freche G., Biron R., Esteves M., Nord G, Navratil O., Uber M., Grangeon T., Hachgenei N., Boudevillain B. A meso-scale observatory dedicated to suspended sediment transport understanding: the Galabre site (southern French Alps), submitted to Hydrological Processes.
-This release contains :
-- ./secret_traces : 2013 traces containing 100M instructions, known as the ""secret traces"" as this is what contestant code was evaluated on during CVP-1
+","The Galabre is a site of the DRAIX BLEONE observatory, member of the french network of critical zone observatories (OZCAR). It is dedicated to the observation of hydrosedimentary fluxes in a mesoscale watershed (20 km²) representative of the southern French Alps. The multivariable data set provides a characterisation of i) the meteorlogical forcing encountered in mediterranean mountainous areas, ii) the hydrological response of the watershed, iii) the soil erosion and associated suspended sediment fluxes as well as iv) the dissolved fluxes at the outlet of the cathment.",mds,True,findable,0,0,0,0,0,2020-09-15T15:58:36.000Z,2020-09-15T15:58:37.000Z,inist.osug,jbru,"Mediterranean mountainous climate,Precipitation,Surface water,Meteorology,Hydrology,Sediments,Soils,Water quality / Water chemistry","[{'subject': 'Mediterranean mountainous climate', 'subjectScheme': 'main'}, {'subject': 'Precipitation', 'subjectScheme': 'var'}, {'subject': 'Surface water', 'subjectScheme': 'var'}, {'subject': 'Meteorology', 'subjectScheme': 'var'}, {'subject': 'Hydrology', 'subjectScheme': 'var'}, {'subject': 'Sediments', 'subjectScheme': 'var'}, {'subject': 'Soils', 'subjectScheme': 'var'}, {'subject': 'Water quality / Water chemistry', 'subjectScheme': 'var'}]",,['CSV']
+10.48537/hal-03220321,"Affects as Foam of the Balance of Power at a Time of Urban Aesthetisation?, About an Exploratory Research on Nantes and Saint-Etienne (France)",Reseau International Ambiances,2020,en,Text,Creative Commons Attribution Non Commercial No Derivatives 2.0 Generic,"In the society of affects, inhabited spaces are designed and the urban experi- ence is conditioned. Based on preliminary observations realized during several editions of the Voyage à Nantes and the Biennale Internationale Design Saint-Etienne, this paper addresses theoretical, methodological and analytical questions in order to contribute to the research on the urban environment. This research postulates that this material, symbolic and discursive transformation of our sensibility perpetuates the structural rela- tionships of force linked to cultural and social capitals while promoting, through the instrumentalization of affects, a standardization and normalization of individual and collective feelings and actions.",fabrica,True,findable,0,0,0,0,0,2021-06-18T12:36:17.000Z,2021-06-18T12:36:17.000Z,jbru.aau,jbru,"Urban Atmosphere,Affects,Saint-Etienne,Nantes,Production of Space,Normalization,Conflicts","[{'lang': 'eng', 'subject': 'Urban Atmosphere'}, {'lang': 'eng', 'subject': 'Affects'}, {'lang': 'eng', 'subject': 'Saint-Etienne'}, {'lang': 'eng', 'subject': 'Nantes'}, {'lang': 'eng', 'subject': 'Production of Space'}, {'lang': 'eng', 'subject': 'Normalization'}, {'lang': 'eng', 'subject': 'Conflicts'}]",['6 pages'],['application/pdf']
+10.17178/cryobsclim.clb.dem,"Col du Lac Blanc, Digital Elevation Model",CNRS - OSUG - Meteo France - Irstea,2017,,Dataset,"Data access and use are ruled by the CRYOBS-CLIM data policy.,Always quote below citation to Guyomarch et al. (2019) when using data.
+G. Guyomarc'h, H. bellot, V. Vionnet, F. Naaim-Bouvet, Y. Deliot, F. Fontaine, P. Pugliese, M. Naaim, K. Nishimura, A meteorological and blowing snow data set (2000-2016) from a high altitude alpine site (Col du Lac Blanc, France, 2720 m a.s.l), Earth System Science Data, 11(2019), 57-69, https://doi.org/10.5194/essd-11-57-2019. The following acknowledging sentence should appear in publications using Cryobs-Clim-CLB data and products: ""Cryobs-Clim Col du Lac Blanc is funded by Meteo France, Irstea, the Institut National des Sciences de l’Univers (INSU/CNRS), and the Observatoire des Sciences de l’Univers de Grenoble (OSUG / Université Grenoble Alpes)â€. You are invited to contact the PI(s) or lead scientist for more information about the data and to include the acknowledgement sentence in any publication using the data.","This dataset is part of the Cryobs-Clim-CLB (CRYosphere, an OBServatory of the CLIMate – Col du Lac Blanc) observatory",mds,True,findable,0,0,1,0,0,2018-07-05T14:16:07.000Z,2018-07-05T14:16:07.000Z,inist.osug,jbru,Digital Elevation Model,"[{'subject': 'Digital Elevation Model', 'subjectScheme': 'main'}]",,['CSV']
+10.17178/emaa_ortho-h2co_hyperfine_21889b23,Hyperfine excitation of ortho-H2CO by ortho-H2 and para-H2 collisions,"UGA, CNRS, CNRS-INSU, OSUG",2019,en,Dataset,"Please acknowledge the use of EMAA Database by citing the original articles in which the data were published (BibTeX format available), and adding the following sentence in your publication:
+This research has made use of spectroscopic and collisional data from the EMAA database (https://emaa.osug.fr). EMAA is supported by the Observatoire des Sciences de l'Univers de Grenoble (OSUG),Creative Commons Attribution 4.0 International,Data access and use are ruled by the EMAA data policy.",27 hyperfine energy levels / 69 radiative transitions / 324 collisional transitions for para-H2 (10 temperatures in the range 10-100K) / 324 collisional transitions for ortho-H2 (10 temperatures in the range 10-100K),mds,True,findable,0,0,0,0,0,2023-12-07T15:51:45.000Z,2023-12-07T15:51:45.000Z,inist.osug,jbru,"target ortho-H2CO,excitationType Hyperfine,collisional excitation,collider.0 para-H2,collider.1 ortho-H2,astrophysics,interstellar medium,comets,circumstellar medium,gas,microwave spectroscopy,infrared spectroscopy,rotational excitation,rovibrational excitation,vibrational excitation,electronic excitation,collisional rate coefficients,fine structure,hyperfine structure","[{'subject': 'target ortho-H2CO', 'subjectScheme': 'main'}, {'subject': 'excitationType Hyperfine', 'subjectScheme': 'main'}, {'subject': 'collisional excitation', 'subjectScheme': 'main'}, {'subject': 'collider.0 para-H2', 'subjectScheme': 'var'}, {'subject': 'collider.1 ortho-H2', 'subjectScheme': 'var'}, {'subject': 'astrophysics', 'subjectScheme': 'var'}, {'subject': 'interstellar medium', 'subjectScheme': 'var'}, {'subject': 'comets', 'subjectScheme': 'var'}, {'subject': 'circumstellar medium', 'subjectScheme': 'var'}, {'subject': 'gas', 'subjectScheme': 'var'}, {'subject': 'microwave spectroscopy', 'subjectScheme': 'var'}, {'subject': 'infrared spectroscopy', 'subjectScheme': 'var'}, {'subject': 'rotational excitation', 'subjectScheme': 'var'}, {'subject': 'rovibrational excitation', 'subjectScheme': 'var'}, {'subject': 'vibrational excitation', 'subjectScheme': 'var'}, {'subject': 'electronic excitation', 'subjectScheme': 'var'}, {'subject': 'collisional rate coefficients', 'subjectScheme': 'var'}, {'subject': 'fine structure', 'subjectScheme': 'var'}, {'subject': 'hyperfine structure', 'subjectScheme': 'var'}]",,['Radex']
+10.5281/zenodo.4947841,PACE 2021 Kernelization track,Zenodo,2021,,Software,"Creative Commons Attribution 4.0 International,Open Access",These are the sources of the PaSTEC solver for the kernelization track of the PACE 2021 challenge.,mds,True,findable,0,0,0,0,0,2021-06-14T19:09:05.000Z,2021-06-14T19:09:06.000Z,cern.zenodo,cern,,,,
+10.5281/zenodo.1307653,Miccai 2016 Ms Lesion Segmentation Challenge: Supplementary Results,Zenodo,2018,en,Dataset,"Creative Commons Attribution 4.0,Open Access","This package contains supplementary material for our article prepared for publication and under revision. It contains omitted results due to space limits of the article as well as detailed, patient per patient and team per team results for all metrics. Additional figures redundant with those of the article are also provided.
-Additional information about how to use the traces and the trace format is provided in the README.",api,True,findable,0,0,0,0,0,2023-02-10T14:59:46.000Z,2023-02-10T14:59:46.000Z,inist.persyval,vcob,Computer Science,"[{'subject': 'Computer Science', 'subjectScheme': 'http://www.radar-projekt.org/display/Computer_Science'}]",['40000 Mo'],
-10.48380/gq45-dv88,Towards a geochemical approach to guide hydrothermal REE recovery from NdFeB magnets,Deutsche Geologische Gesellschaft - Geologische Vereinigung e.V. (DGGV),2023,en,Text,,"<p>The NdFeB magnet world demand has doubled since 2005 to reach above 120 kton in 2020 [1]. The growing demand for REEs prompts their recycling. Sintered NdFeB permanent magnets are usually composed of above 20 wt.% Nd and a few wt.% of Pr and Dy. There are two main recycling ways for REE-based magnets. In the “short-loop processâ€, the main alloy is maintained in the valorized magnets, meaning that the microstructure and magnetic properties directly arise from the end-of-life product. In the “long loop†recycling process, one tries to extract the REEs from the alloy, which is the purpose of the present work.</p>
-<p>The chemical separation of REEs from each other is difficult due to the similarity of their chemical properties. Following the encouraging results obtained by [2] in recovering REEs from NdFeB by hydrothermal treatment, we developed a geochemical approach of aqueous fluid – REE-compounds interactions based on the use PHREEQC software with the implementation of relevant REE-phases in the database. The database is tested against hydrothermal experiments on NdFeB powders with in-situ solution sampling. When reacted at 250°C and 100 bar, NdFeB powders transform into Nd(OH)<sub>2</sub>, magnetite and Nd-borates along with large amounts of H<sub>2</sub>. The low Nd solubility measured in the experiment is likely controlled by Nd-borates. The database will allow to investigate the effect of chlorine or CO<sub>2</sub> on the REE behaviour.</p>
-<p>[1] Yang, Y. et al. (2017). <em>J. Sustain. Metall.</em>, 3, 122-149.</p>
-<p>[2] Maât, N. et al. <em>ACS Sustain. Chem. Eng.</em>, 4, 6455-6462.</p>
-",api,True,findable,0,0,0,0,0,2023-12-11T21:13:49.000Z,2023-12-11T21:13:49.000Z,mcdy.dohrmi,mcdy,,,,
-10.48537/hal-03220280,"Atmospheres + Design, Session 3 – Introduction",Reseau International Ambiances,2020,en,Text,Creative Commons Attribution Non Commercial No Derivatives 2.0 Generic,,mds,True,findable,0,0,0,0,0,2021-06-17T20:45:49.000Z,2021-06-17T20:45:50.000Z,jbru.aau,jbru,,,['4 pages'],['application/pdf']
-10.18709/perscido.2016.10.ds32,DM Authors,PerSciDo,2016,en,Dataset,,"DM-Authors dataset contains information about 4,906 researchers in the domain of data management. The dataset is a crawling on DBLP in October 2014. For each researcher, demographic attributes (gender, seniority, number of publications and publication rate) and activity attributes (list of venues and keywords that the researcher has contribute to) are provided.",api,True,findable,0,0,0,1,0,2017-11-03T14:40:17.000Z,2017-11-03T14:40:17.000Z,inist.persyval,vcob,"Computer Science,Social Web","[{'lang': 'en', 'subject': 'Computer Science'}, {'lang': 'en', 'subject': 'Social Web'}]",['20 MB'],['csv']
-10.48537/hal-03220367,Re-Sensitizing as New Sensitizations Process Experiences on/of the Street,Reseau International Ambiances,2020,en,Text,Creative Commons Attribution Non Commercial No Derivatives 2.0 Generic,"Ambiances affect us in several ways. Our everyday lifestyle has guided us to a lack of time to feel, raising questions about our sensitiveness. Questioning if re-sensitizing activities would create new ways of sensitivity, we decided to explore the points of view of passersby from the streets of downtown Rio de Janeiro. Experiences on/of the streets have derived from the look of the flâneur. Each passerby was invited to analyze the street in sensible ways such as sounds, smells, and with the help of a frame – as in when one is about to photograph something – an angle of the street. The experience has shown that the sensitive is in everyday life and is apprehend- ed when we let ourselves be carried away by the affections, the feeling stripped of the analytical eye.",mds,True,findable,0,0,0,0,0,2021-06-17T10:18:02.000Z,2021-06-17T10:18:02.000Z,jbru.aau,jbru,"Re-Sensitizing,Flaneur,Street,Photograph","[{'lang': 'eng', 'subject': 'Re-Sensitizing'}, {'lang': 'eng', 'subject': 'Flaneur'}, {'lang': 'eng', 'subject': 'Street'}, {'lang': 'eng', 'subject': 'Photograph'}]",['6 pages'],['application/pdf']
-10.48537/hal-03220304,"Development of the Integrated Approach on the impact of the Climate Adaptive Building Shells, on the Performance and Energy Efficiency of Building",Reseau International Ambiances,2020,en,Text,Creative Commons Attribution Non Commercial No Derivatives 2.0 Generic,"The consolidation of environment, and technology represents an ample conjunc- tion of developed and innovative elements to serve the landscape. Construction performance depends not only on the operation of individual elements in the building but also on how they behave as integrated approach to satisfy the user demands. In architecture, projects are contained of different phases of architecture process, and several factors need to be considered among this cycle, such as climate, building shape, comfort levels, materials and systems, occupant health and security. Climate Adaptive Building Shells are important, as they are starting point of energy efficiency measures, the main determinant of the amount of energy required for heating, cooling and ventilation.",mds,True,findable,0,0,0,0,0,2021-06-17T10:17:36.000Z,2021-06-17T10:17:37.000Z,jbru.aau,jbru,"Climate Adaptive Building Shells,Energy Efficiency,Building and Environment,Sustainable Architecture,Facade Design","[{'lang': 'eng', 'subject': 'Climate Adaptive Building Shells'}, {'lang': 'eng', 'subject': 'Energy Efficiency'}, {'lang': 'eng', 'subject': 'Building and Environment'}, {'lang': 'eng', 'subject': 'Sustainable Architecture'}, {'lang': 'eng', 'subject': 'Facade Design'}]",['6 pages'],['application/pdf']
-10.48537/hal-03220361,"Playable Sound, Hauntology in Bioshock, a Video Game for a Lost Future",Reseau International Ambiances,2020,en,Text,Creative Commons Attribution Non Commercial No Derivatives 2.0 Generic,"The medium of VideoGames, recognised as a hyper-sensory event and a new “form of literacy†according to Zimmerman, allows for the creation of atmospheres which exceed the sum of the parts, meaning audio, graphics, mechanics, etc. This paper focuses on the immersive, Dionysian aspect of sound which can create a nostalgic atmosphere for a lost future. Bioshock, displaying all sorts of atmospheric qualities, is a multi-awarded, first-person shooter game with RPG, horror and stealth game references. Its soundtrack will be analysed through the spectrum of hauntology, a term coined by Derrida, aiming to show how audio can be used to evoke extra-musical memories and contribute to the creation of a rich synthetic reality resulting in the longing of an unrealised utopia.",mds,True,findable,0,0,0,0,0,2021-06-17T10:17:34.000Z,2021-06-17T10:17:35.000Z,jbru.aau,jbru,"Soundtrack,Video Game,Hauntology,Memory,Referential Listening","[{'lang': 'eng', 'subject': 'Soundtrack'}, {'lang': 'eng', 'subject': 'Video Game'}, {'lang': 'eng', 'subject': 'Hauntology'}, {'lang': 'eng', 'subject': 'Memory'}, {'lang': 'eng', 'subject': 'Referential Listening'}]",['6 pages'],['application/pdf']
-10.18709/perscido.2020.03.ds300,The VLSAT (Very Large SAT) Benchmark Suite,PerSciDo,2020,en,Dataset,Creative Commons Attribution 4.0 International,"The VLSAT benchmark suite (where ""VL"" stands for ""Very Large"") is a collection of one hundred of SAT formulas to be used as benchmarks in scientific experiments and software competitions. These SAT formulas have been obtained from the automatic conversion into Nested-Unit Petri Nets (NUPNs) of a large collection of Petri nets modelling real-life problems, such as communication protocols and concurrent systems.",fabrica,True,findable,0,0,0,1,0,2020-03-11T16:46:55.000Z,2020-03-11T16:46:56.000Z,inist.persyval,vcob,Computer science,"[{'lang': 'en', 'subject': 'Computer science'}]",['500 MB'],['DIMACS CNF']
-10.5281/zenodo.10262984,Unite! handbook of best practices for effective mainstreaming of open science and innovation at Universities,Unite! Alliance Publications,2023,en,Text,Creative Commons Attribution 4.0 International,"This handbook is a practical guide for facilitating researchers, R&I support services, and university managers to transition from modern science to open science. Based on a comparative case study of 70 research teams across 7 European universities in the Unite! Alliance, this handbook reveals a high-impact understanding of the best open science and innovation practices on Unite! research teams and exposes guidelines for the adoption of these practices. This handbook shapes a new governance model for the management of open science and innovation in universities in the digital era. ",api,True,findable,0,0,0,0,0,2023-12-11T11:19:52.000Z,2023-12-11T11:19:52.000Z,cern.zenodo,cern,"open science,open science management,university governance,open innovation,science and innovation policy,open exploration,european universities alliances","[{'subject': 'open science'}, {'subject': 'open science management'}, {'subject': 'university governance'}, {'subject': 'open innovation'}, {'subject': 'science and innovation policy'}, {'subject': 'open exploration'}, {'subject': 'european universities alliances'}]",,
-10.48537/hal-03220380,"Atmospheres of Transformation, Language, Identity and the Liturgical Experience of a Transborder Orthodox Community",Reseau International Ambiances,2020,en,Text,Creative Commons Attribution Non Commercial No Derivatives 2.0 Generic,"The paper explores the role of language in the constitution of religious atmo- spheres with special emphasis on architectural experience of a multi-national transborder Eastern Orthodox Community based in Edinburgh. Due to its performative and communicative dynamics, language plays an important role in the activities held in a religious place. The performative activation of religious texts through ritual choreographies, reading in different ways, singing and instru- mental music is one of the defining spatio- temporal components of sacred architecture. In the examined case, the aurality of the text contributes to the emergence of a shared identity of moving populations having to settle at a new land based on a process of parallel or overlapping transformations.",mds,True,findable,0,0,0,0,0,2021-06-17T16:48:03.000Z,2021-06-17T16:48:03.000Z,jbru.aau,jbru,"Language,Religious Place,Atmosphere","[{'lang': 'eng', 'subject': 'Language'}, {'lang': 'eng', 'subject': 'Religious Place'}, {'lang': 'eng', 'subject': 'Atmosphere'}]",['6 pages'],['application/pdf']
-10.48537/hal-03220356,"Adapting Sensibilities Beyond ‘Screen-Deep’ Spatial Experience, Materiality and Atmosphere in Our Screen-Deep Virtual Excursions",Reseau International Ambiances,2020,en,Text,Creative Commons Attribution Non Commercial No Derivatives 2.0 Generic,"Looking within and beyond our current situation it is clear that new sensi- bilities of spatial experiences are emerging that can no longer be defined by our physical presence alone. Working with screen-deep spatial encounters, virtual ‘visits’ or ‘excur- sions’, challenged by a depleted range of sensorial information, our situation demands new methods of representation and interpre- tation. This study explores how can we define and adapt our understanding of architectural sensory information. It provokes questions into our relationships with the atmosphere of ar- chitectural space and the data that might help define it. Findings propose how, as designers, we might provide increased opportunities through virtual excursions, to glimpse into a tangible embodied understanding of architec- tural spaces.",mds,True,findable,0,0,0,0,0,2021-06-17T10:17:04.000Z,2021-06-17T10:17:04.000Z,jbru.aau,jbru,"Virtual,Screen,rchitectural Space,Embodied,Atmosphere","[{'lang': 'eng', 'subject': 'Virtual'}, {'lang': 'eng', 'subject': 'Screen'}, {'lang': 'eng', 'subject': 'rchitectural Space'}, {'lang': 'eng', 'subject': 'Embodied'}, {'lang': 'eng', 'subject': 'Atmosphere'}]",['6 pages'],['application/pdf']
-10.18709/perscido.2023.08.ds398,BuildPred: A Smart Tertiary Building Dataset,PerSCiDO,2023,,Dataset,,"This dataset gathers indoor environmental data and HVAC power consumption collected on a monitored tertirary building over 232 days. The building located into the eastern suburbs of Grenoble (France). Sensors across the building send a measure every 10 minutes, leading to the creation this dataset, after preprocessing.",api,True,findable,0,0,0,0,0,2023-08-31T16:32:12.000Z,2023-08-31T16:32:12.000Z,inist.persyval,vcob,Information Technology,"[{'subject': 'Information Technology', 'subjectScheme': 'http://www.radar-projekt.org/display/Information_Technology'}]",['10 Mo'],['CSV']
-10.23658/taltech.43/2020,Runup of Nonlinear Waves of Different Shapes on a Plane Beach Including Effects of Dispersion and Wave Breaking,Tallinn University of Technology,2020,en,Text,Creative Commons Attribution Non Commercial Share Alike 4.0 International,,fabricaForm,True,findable,0,0,0,0,0,2020-12-18T13:35:52.000Z,2020-12-18T13:35:53.000Z,estdoi.ttu,qnur,"FOS: Natural sciences,FOS: Earth and related environmental sciences","[{'subject': 'FOS: Natural sciences', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'FOS: Earth and related environmental sciences', 'subjectScheme': 'Fields of Science and Technology (FOS)'}]","['18,09 MB']",['PDF']
-10.48537/hal-03220310,"Realities aren’t Real!, A (Really) Brief Cinematic Chronicle of the Constant Resistance of the Real against Urban Planning Realities",Reseau International Ambiances,2020,en,Text,Creative Commons Attribution Non Commercial No Derivatives 2.0 Generic,"Planners are asked to deal with an aphoristically constructed urban reality, while being practically reluctant towards the ‘un-programmable’ real life of each citizen. However, the conceptions and perceptions of the Real (realities) have changed during the timespan. What follows is an anthology of the three pivotal mutations, which are linked to certain ‘structures of feeling’ (a term used by Raymond Williams): modern, postmodern and metamodern, and aspires to detect their inex- haustible mark on urban planning (conception of urban reality) and urban living (experience of the urban Real), as featured in three represen- tative films: Lang’s Metropolis (1927), Burton’s Batman Returns (1991) and Nolan’s Inception (2010).",mds,True,findable,0,0,0,0,0,2021-06-17T16:47:09.000Z,2021-06-17T16:47:09.000Z,jbru.aau,jbru,"Cinematic City,Real,Urban Planning Realities,Metamodernism,Phenomenology","[{'lang': 'eng', 'subject': 'Cinematic City'}, {'lang': 'eng', 'subject': 'Real'}, {'lang': 'eng', 'subject': 'Urban Planning Realities'}, {'lang': 'eng', 'subject': 'Metamodernism'}, {'lang': 'eng', 'subject': 'Phenomenology'}]",['6 pages'],['application/pdf']
-10.48537/hal-03220270,Toward the Possibilities of Urban Sound Parks,Reseau International Ambiances,2020,en,Text,Creative Commons Attribution Non Commercial No Derivatives 2.0 Generic,"This paper, written in an interview format, collects the thoughts of three inter- national curators of outdoor, public sound installation art parks. Questions were posed by Jordan Lacey to Paul Craenen (Klankenbos, Belgium), Raquel Castro (Lisboa Soa festival, Portugal), and Stephan Moore (Caramoor Center for Music and the Arts, New York State). The questions aim to decipher com- monalities across the experiences of the three curators, which are summarised into seven key themes at the end of the document. The key themes can be read as a series of propositions for the possible creation of sound parks in urban spaces.",mds,True,findable,0,0,0,0,0,2021-06-17T16:48:58.000Z,2021-06-17T16:48:59.000Z,jbru.aau,jbru,"Sound art installations,listening,curation,public space","[{'lang': 'eng', 'subject': 'Sound art installations'}, {'lang': 'eng', 'subject': 'listening'}, {'lang': 'eng', 'subject': 'curation'}, {'lang': 'eng', 'subject': 'public space'}]",['6 pages'],['application/pdf']
-10.18709/perscido.2021.09.ds334,High strain rate experiments on Colima andesite,PerSCiDo,2021,en,Dataset,,"Mechanical data of the 35 experiments done of Colima andesite samples at various strain rates. Datasets have 3 columns : time [s], strain [1] and stress [MPa].",fabrica,True,findable,0,0,0,0,0,2021-09-21T14:57:01.000Z,2021-09-21T14:57:01.000Z,inist.persyval,vcob,"Geology,FOS: Earth and related environmental sciences","[{'lang': 'en', 'subject': 'Geology'}, {'subject': 'FOS: Earth and related environmental sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}]",['10 MB'],
-10.18709/perscido.2019.07.ds249,Timeseries of surface elevation maps at Dome C measured by time lapse laserscanning,PerSciDo,2019,,Dataset,,"The surface was scanned at Dome C almost daily for nearly 3 years using the Rugged Laserscan (RLS) developped by L. Arnaud and G. Picard (IGE). The dataset contains maps of surface elevation (DEM) with a resolution of 5 cm over an area of about 150m2. Maps are available at best daily, when enough valid data were acquired. The RLS and the data are described in G. Picard, L. Arnaud, R. Caneil, E. Lefebvre, M. Lamare, Observation of the process of snow accumulation on the Antarctic Plateau by time lapse laserscanning, The Cryosphere, doi:10.5194/tc-2019-4",fabrica,True,findable,0,0,0,0,0,2019-07-02T16:46:31.000Z,2019-07-02T16:46:32.000Z,inist.persyval,vcob,"Environmental Science and Ecology,Glaciology","[{'lang': 'en', 'subject': 'Environmental Science and Ecology'}, {'lang': 'en', 'subject': 'Glaciology'}]",,
-10.48537/hal-03220292,"Olympus VR, Sediments of Information and Interaction",Reseau International Ambiances,2020,en,Text,Creative Commons Attribution Non Commercial No Derivatives 2.0 Generic,"This paper discusses the design approach that was followed during the implementation of the mountain Olympus in a virtual reality environment. Due to certain limitations of data acquisition, time and asset management, the creation process demanded a hybrid approach in order to implement the environment of the virtual mountain as well as the supplementary levels of information and interaction. The immersive environment is represented with three scale versions which are enriched with additional layers of informa- tion, narration and interaction. These noetic ‘sediments’ provide an additional way for unique alloæsthetic experiences and enhance the ambiance of the mythical mountain, allow- ing a new dialogue between the user and the represented environment.",mds,True,findable,0,0,0,0,0,2021-06-17T16:47:45.000Z,2021-06-17T16:47:46.000Z,jbru.aau,jbru,"Virtual Reality,Game Engines,Representation,Digital Landscape","[{'lang': 'eng', 'subject': 'Virtual Reality'}, {'lang': 'eng', 'subject': 'Game Engines'}, {'lang': 'eng', 'subject': 'Representation'}, {'lang': 'eng', 'subject': 'Digital Landscape'}]",['6 pages'],['application/pdf']
-10.18709/perscido.2021.11.ds356,Planeterrella polarisation data,PerSCiDo,2021,en,Dataset,,"Data used and described in the following article, submitted to GRL: ""Laboratory experiments confirm the polarization of auroral emissions.""",fabrica,True,findable,0,0,0,0,0,2021-11-24T15:51:42.000Z,2021-11-24T15:51:42.000Z,inist.persyval,vcob,"Physics,Astrophysics and astronomy","[{'lang': 'en', 'subject': 'Physics'}, {'lang': 'en', 'subject': 'Astrophysics and astronomy'}]",['10Mo'],['CSV']
-10.48537/hal-03220284,"Architectures, Technologies, and Stadiums Atmospheres",Reseau International Ambiances,2020,en,Text,Creative Commons Attribution Non Commercial No Derivatives 2.0 Generic,"The aims of this work are to under- stand some changes in the behavior of football spectators and fans in the stadium. For that, the analysis considers the architecture of new stadiums in one hand, the evolution of elite football in Europe in another hand, and the links with fans by a sociological approach.The information is coming from academics researches and journalists commentaries. The results show that the necessity to struggle against hooliganism and violence of the ultras, the football spectacle commodification, the building of new sport facilities, and the ticket price policy to make them profitable, induced the gentrification of the public. As a former French professional footballer said, “In the past, the fans encouraged, today, they sing.â€",mds,True,findable,0,0,0,0,0,2021-06-17T09:44:33.000Z,2021-06-17T09:44:34.000Z,jbru.aau,jbru,"Stadiums,Architectures,Design,Technologies,Sensitization","[{'lang': 'eng', 'subject': 'Stadiums'}, {'lang': 'eng', 'subject': 'Architectures'}, {'lang': 'eng', 'subject': 'Design'}, {'lang': 'eng', 'subject': 'Technologies'}, {'lang': 'eng', 'subject': 'Sensitization'}]",['6 pages'],['application/pdf']
-10.48537/hal-03220364,Traces of Invisibility: Readings From Artistic Records,Reseau International Ambiances,2020,en,Text,Creative Commons Attribution Non Commercial No Derivatives 2.0 Generic,"This research presents the concept of ambiance with its roots in user’s or beholder’s point of view. We believe that in this relation with inhabitant perception, ambiance gathers visible space perception together with layers of invisible space interpretation. Therefore, we introduce Maurice Merleau-Ponty’s idea from L’Œil et l’Esprit (1960) that argues the importance of art experimentation as a form to understand the relation between visible and invisible, and we advocate that art production and art interpretation bring up new space read- ings that enrich space comprehension beyond the visible and the Cartesian thinking. This paper presents two examples, through a series of works of art: Cartuxa Monastery, Felipe Terzi and Giovanni Casale (1587-1598) and Miguel Bombarda Panoptic Hospital, JoseÌ Maria Nepomuceno (1892-1896).",mds,True,findable,0,0,0,0,0,2021-06-17T16:47:42.000Z,2021-06-17T16:47:42.000Z,jbru.aau,jbru,"Art and Architecture,Ambiances,nvisible Space,Spatial Records","[{'lang': 'eng', 'subject': 'Art and Architecture'}, {'lang': 'eng', 'subject': 'Ambiances'}, {'lang': 'eng', 'subject': 'nvisible Space'}, {'lang': 'eng', 'subject': 'Spatial Records'}]",['6 pages'],['application/pdf']
-10.5281/zenodo.10119872,"IPBES nexus assessment - Chapter 5.1 – BIODIVERSITY, data management report 1 – Analysis to characterize actors involved in response options and actor network analysis",Zenodo,2023,en,Report,Creative Commons Attribution 4.0 International,The objective was to synthetize a description of biodiversity actors and their interactions within the context of response options. The data source is a database that will be described in a separate data management report for the final draft of the assessment.,api,True,findable,0,0,0,0,0,2023-11-14T08:12:31.000Z,2023-11-14T08:12:31.000Z,cern.zenodo,cern,,,,
-10.48537/hal-03220301,"Ornamental Atmosphere & Digital De-lights, The Reactivation of Light Ornaments Through Digital Design",Reseau International Ambiances,2020,en,Text,Creative Commons Attribution Non Commercial No Derivatives 2.0 Generic,"“Ornamental Atmosphere & Digital De-lights†focuses on the reactivation of tradi- tional and cultural craftsmanship of ornamen- tation using contemporary digital modeling and manufacturing tools. Conducted in the framework of a Franco-Egyptian collaboration between Ain Shams University – Egypt and the Grenoble School of Architecture – France, this communication proposes to describe the expe- riential methodology of an intensive workshop that took place in ENSA Grenoble in September 2019. The aim is to parametrically design and digitally fabricate prototypes of architectural envelopes whose patterns and light effects are a reinterpretation of traditional Egyptian architecture and its light atmospheres, while introducing variants to adapt the design to different situations and usages.",mds,True,findable,0,0,0,0,0,2021-06-17T20:45:44.000Z,2021-06-17T20:45:45.000Z,jbru.aau,jbru,"Ornamental Atmosphere,Egyptian Light Heritage,Digital Design,Prototypes","[{'lang': 'eng', 'subject': 'Ornamental Atmosphere'}, {'lang': 'eng', 'subject': 'Egyptian Light Heritage'}, {'lang': 'eng', 'subject': 'Digital Design'}, {'lang': 'eng', 'subject': 'Prototypes'}]",['6 pages'],['application/pdf']
-10.48537/hal-03220379,"Ambiance Production in Virtual Interiors, Engineering and Assessment of Affective Response in Design Studio Projects",Reseau International Ambiances,2020,en,Text,Creative Commons Attribution Non Commercial No Derivatives 2.0 Generic,"This pedagogy-based research was conducted through a design studio challenge in which students were tasked with the creation of virtual models that place affect produc- tion at the center of the design process. The raster-based environment of VR operated as a site, which permitted a momentary withdrawal from considerations of structure, program, climate, gravity, materiality, and even circu- lation. The elimination of obtrusive variables allowed us to effectively register the correlation between spatial qualities and affective properties. The aim of the paper is to 1) catalogue affective reactions to these highly abstracted virtual spaces; 2) register any possible consensus among multiple subjects; and 3) identify correlations between affective experience and spatial qualities.",mds,True,findable,0,0,0,0,0,2021-06-17T16:47:31.000Z,2021-06-17T16:47:32.000Z,jbru.aau,jbru,"Affect,Interiority,Interior Design,Architecture,FOS: Civil engineering,Virtual,Pedagogy,Language","[{'lang': 'eng', 'subject': 'Affect'}, {'lang': 'eng', 'subject': 'Interiority'}, {'lang': 'eng', 'subject': 'Interior Design'}, {'lang': 'eng', 'subject': 'Architecture'}, {'subject': 'FOS: Civil engineering', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'lang': 'eng', 'subject': 'Virtual'}, {'lang': 'eng', 'subject': 'Pedagogy'}, {'lang': 'eng', 'subject': 'Language'}]",['6 pages'],['application/pdf']
-10.48537/hal-03220248,Sensibilities to Lifeworlds,Reseau International Ambiances,2020,en,Text,Creative Commons Attribution Non Commercial No Derivatives 2.0 Generic,"Our ways of being sensitive to the lifeworlds are profoundly changing. A new distribution of the sensible is emerging, giving rise to alternative feelings towards the living. My aim is to explore how sensibility comes into resonance with current socio-ecological issues. Five main forms of awareness to living envi- ronments are identified: 1) “weavers†tend to explore new attentions to living beings and to intertwine narratives together, 2) “resonators†tend to attune to ambient milieus and to vibrate to impersonal affects, 3) “appreciators†tend to revisit æsthetically the familiar and to appraise the qualities of everyday environments, 4) “performers†tend to alter ordinary gestures and to explore the powers of bodies, 5) “lis- teners†tend to pay attention to the ways the world sound and to render audible current environmental phenomena.",fabrica,True,findable,0,0,0,0,0,2021-06-16T16:28:09.000Z,2021-06-16T16:28:09.000Z,jbru.aau,jbru,"Sensibility,Aethetic,Narrative,Affect,Gesture,Sound,Attention","[{'lang': 'eng', 'subject': 'Sensibility'}, {'lang': 'eng', 'subject': 'Aethetic'}, {'lang': 'eng', 'subject': 'Narrative'}, {'lang': 'eng', 'subject': 'Affect'}, {'lang': 'eng', 'subject': 'Gesture'}, {'lang': 'eng', 'subject': 'Sound'}, {'lang': 'eng', 'subject': 'Attention'}]",['6 pages'],['application/pdf']
-10.18709/perscido.2017.10.ds117,Sense Embeddings Models,PerSciDo,2017,en,Dataset,Creative Commons Attribution 4.0 International,"This dataset contains the models of sense embeddings, or sense vectors, produced for the article called ""Sense Embeddings in Knowledge-Based Word Sense Disambiguation"" by Loïc Vial, Benjamin Lecouteux and Didier Schwab, in proceedings of the 12th International Conference on Computational Semantics (IWCS 2017).",api,True,findable,0,0,0,1,0,2017-11-03T01:25:56.000Z,2017-11-03T01:25:56.000Z,inist.persyval,vcob,"Computer Science,Linguistics,FOS: Languages and literature,FOS: Languages and literature,Mathematics,FOS: Mathematics,FOS: Mathematics","[{'lang': 'en', 'subject': 'Computer Science'}, {'lang': 'en', 'subject': 'Linguistics'}, {'subject': 'FOS: Languages and literature', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'FOS: Languages and literature', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'lang': 'en', 'subject': 'Mathematics'}, {'subject': 'FOS: Mathematics', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'FOS: Mathematics', 'subjectScheme': 'Fields of Science and Technology (FOS)'}]",['13 GB'],['word2vec']
-10.18709/perscido.2020.09.ds330,"Field campaign at Col du Lautaret 2016-2018 (2058 m a.s.l., French Alps): Snow surface properties and albedo measurements at Col du Lautaret",PerSciDo,2020,en,Dataset,,"This dataset contains the data of the manuscript ""Quantification of the radiative impact of light-absorbing particles during two contrasted snow seasons at Col du Lautaret (2058 m a.s.l., French Alps)"" published in The Cryosphere. It is made of spectral albedo measurements and analysis, manual snow pit measurements, automated atmospheric variables measurements.",fabrica,True,findable,0,0,0,0,0,2020-09-15T09:01:49.000Z,2020-09-15T09:01:49.000Z,inist.persyval,vcob,Snow science,"[{'lang': 'en', 'subject': 'Snow science'}]",['100 MB'],"['csv', 'netCDF4 classic']"
-10.18709/perscido.2017.10.ds138,"F-TRACT, ATLAS June 2017",PerSciDo,2017,en,Dataset,Creative Commons Attribution Non Commercial No Derivatives 4.0 International,"Dataset that contains connectivity probablility and peak latency estimated from CCEP data recorded in 174 patients, only in the MarsAtlas parcellation scheme.",api,True,findable,0,0,0,0,0,2017-11-03T01:32:52.000Z,2017-11-03T01:32:52.000Z,inist.persyval,vcob,"Computer Science,Medicine","[{'lang': 'en', 'subject': 'Computer Science'}, {'lang': 'en', 'subject': 'Medicine'}]",['225 MB'],['csv']
-10.6084/m9.figshare.24647123.v1,Additional file 1 of Effects of a physical activity and endometriosis-based education program delivered by videoconference on endometriosis symptoms: the CRESCENDO program (inCRease physical Exercise and Sport to Combat ENDOmetriosis) protocol study,figshare,2023,,Text,Creative Commons Attribution 4.0 International,Additional file 1. Randomization script,mds,True,findable,0,0,0,0,0,2023-11-28T04:40:37.000Z,2023-11-28T04:40:37.000Z,figshare.ars,otjm,"Medicine,Genetics,FOS: Biological sciences,Physiology,Science Policy,Sociology,FOS: Sociology,Biological Sciences not elsewhere classified","[{'subject': 'Medicine'}, {'subject': 'Genetics'}, {'subject': 'FOS: Biological sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Physiology'}, {'subject': 'Science Policy'}, {'subject': 'Sociology'}, {'subject': 'FOS: Sociology', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Biological Sciences not elsewhere classified'}]",['12261 Bytes'],
-10.48537/hal-03220363,"Narrative Presencing of Architectural Monuments, Atmospheres in Seibo There Below",Reseau International Ambiances,2020,en,Text,Creative Commons Attribution Non Commercial No Derivatives 2.0 Generic,"Engaging a selection of narratives from the episodic novel Seibo There Below (2008) by LaÌszloÌ Krasznahorkai, this paper discusses how literature can enable the atmospheric presencing of architectural monuments. It examines how the reader can partake of the multilayered atmosphere of three famous places of heritage, that are spa- tial manifestations of different civilizations: the Athenian Acropolis (Greece), the Ise Grand Shrine (Japan) and the palace of Alhambra (Spain). The paper unpacks atmospheric descriptions related to these monuments, through the affective and emotional accounts of the novel’s characters. By doing so, it allows architects, historians and theoreticians to understand significant places under a light that may even contradict canonized interpretations.",mds,True,findable,0,0,0,0,0,2021-06-17T09:44:24.000Z,2021-06-17T09:44:25.000Z,jbru.aau,jbru,"Literature,Narratives,Monuments,Presencing Atmospheres","[{'lang': 'eng', 'subject': 'Literature'}, {'lang': 'eng', 'subject': 'Narratives'}, {'lang': 'eng', 'subject': 'Monuments'}, {'lang': 'eng', 'subject': 'Presencing Atmospheres'}]",['6 pages'],['application/pdf']
-10.48537/hal-03220378,Through the Ambiguous Objects of Benjaminian Thought: Politics and Affect in Design of Heritage Architecture,Reseau International Ambiances,2020,en,Text,Creative Commons Attribution Non Commercial No Derivatives 2.0 Generic,"There is a poetic force initially created by a desire to recontextualize the image of war through architectural atmo- spheres enabled by panorama2. This research reconstructs and deconstructs discourses that understand architecture as affect, but also illuminates the narrative approach with the aim to speculate experience of affect as meaning making in design of heritage architecture. By inscribing heritage architecture into the register of ambiguous objects of Benjaminian thought, I will contemplate the Gaza war case (2014) and the Böttcherstraße project in Bremen (1922-1931).",mds,True,findable,0,0,0,0,0,2021-06-17T16:48:09.000Z,2021-06-17T16:48:10.000Z,jbru.aau,jbru,"Heritage Architecture,Dialectical Image,Affect,Historical Experience","[{'lang': 'eng', 'subject': 'Heritage Architecture'}, {'lang': 'eng', 'subject': 'Dialectical Image'}, {'lang': 'eng', 'subject': 'Affect'}, {'lang': 'eng', 'subject': 'Historical Experience'}]",['6 pages'],['application/pdf']
-10.18709/perscido.2023.06.ds396,The Proof Of Coverage LoRaWAN frames dataset,PerSCiDO,2023,,Dataset,,The directory contains the log files of frames sent by LoRa gateways to other gateways. The gateways are installed in the Grenoble area. The dataset contains 3418984 messages received between August 2021 and June 2023.,api,True,findable,0,0,0,0,0,2023-06-28T11:23:46.000Z,2023-06-28T11:23:46.000Z,inist.persyval,vcob,"Information Technology,Computer Science","[{'subject': 'Information Technology', 'subjectScheme': 'http://www.radar-projekt.org/display/Information_Technology'}, {'subject': 'Computer Science', 'subjectScheme': 'http://www.radar-projekt.org/display/Computer_Science'}]",['4000 Mo'],['JSON']
-10.18709/perscido.2018.10.ds133,Micro-seismic-monitoring of a floating ice plate to monitor its deformation: Catalog,PerSciDo,2018,en,Dataset,Creative Commons Attribution Non Commercial Share Alike 4.0 International,This dataset corresponds to the detected fractures characteristics related to the microseismic monitoring of a floating ice plate.,fabrica,True,findable,0,0,0,0,0,2018-12-06T13:54:50.000Z,2018-12-06T13:54:51.000Z,inist.persyval,vcob,"Glaciology,Materials Science,Geology,FOS: Earth and related environmental sciences,FOS: Earth and related environmental sciences,Physics","[{'lang': 'en', 'subject': 'Glaciology'}, {'lang': 'en', 'subject': 'Materials Science'}, {'lang': 'en', 'subject': 'Geology'}, {'subject': 'FOS: Earth and related environmental sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'FOS: Earth and related environmental sciences', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'lang': 'en', 'subject': 'Physics'}]",['10 MB'],['txt']
-10.48537/hal-03220333,Spatial Design Praxis Using the Sound Sketching Environment Tool “Esquis’Sonsâ€,Reseau International Ambiances,2020,en,Text,Creative Commons Attribution Non Commercial No Derivatives 2.0 Generic,"Open-air amphitheaters are one of the most characteristic manifestations of Ancient Greek architecture. From an architectural renovation perspective, the legal frame- work results in minimal re-constructions of archaeological sites emphasizing on minimum interventions and low footprint impact. Contrary to the established treaty, this document addresses the rehabilitation of the selected site based on the use of the sound sketch software Esquis’Sons (Marchal, 2015) that allows you to sketch and hear sound scenes generated from a 3D digital model. By making a study based on in-situ recordings and using them in the sound sketch tool, one virtually builds a sound environment “in the making.†Multiple sound scenarios are then tested and used as feedback for spatial decision making.",mds,True,findable,0,0,0,0,0,2021-06-17T16:47:25.000Z,2021-06-17T16:47:25.000Z,jbru.aau,jbru,"Sound Sketch,Esquis’Sons,Ambiance,Soundscape,In-Situ,Virtual,3D Model","[{'lang': 'eng', 'subject': 'Sound Sketch'}, {'lang': 'eng', 'subject': 'Esquis’Sons'}, {'lang': 'eng', 'subject': 'Ambiance'}, {'lang': 'eng', 'subject': 'Soundscape'}, {'lang': 'eng', 'subject': 'In-Situ'}, {'lang': 'eng', 'subject': 'Virtual'}, {'lang': 'eng', 'subject': '3D Model'}]",['6 pages'],['application/pdf']
-10.48537/hal-03220314,"From a Sensitive Ecology to a Political Ecology of Ambiances, Issues and Challenges?",Reseau International Ambiances,2020,en,Text,Creative Commons Attribution Non Commercial No Derivatives 2.0 Generic,"The interest in ambiances or atmos- pheres largely contributed to the clarification of the role of sensory phenomena of space, perceptual modalities and affects in the construction of social life. Among the research on ambiance and atmospheres, some of them question the effects of ambiance policies on forms of civility in public, and on ways of be- ing in the world as well as living together. In doing so, they contribute to the politicization of urban ambiances. With a prospective aim, this chapter extends this strand towards the field of urban political ecology. By questioning the modalities and issues involved in opening up this latter field to the sensory, this text aims to indicate what a “political ecology of ambiances†could be and what it could do.",mds,True,findable,0,0,0,0,0,2021-06-17T20:45:42.000Z,2021-06-17T20:45:43.000Z,jbru.aau,jbru,"Urban Ambiances,Social and Sensory Ecologies,Politics,Living Well Together","[{'lang': 'eng', 'subject': 'Urban Ambiances'}, {'lang': 'eng', 'subject': 'Social and Sensory Ecologies'}, {'lang': 'eng', 'subject': 'Politics'}, {'lang': 'eng', 'subject': 'Living Well Together'}]",['6 pages'],['application/pdf']
-10.48537/hal-03220325,"Field Recording, Technology and Creative Listening",Reseau International Ambiances,2020,en,Text,Creative Commons Attribution Non Commercial No Derivatives 2.0 Generic,"While more and more used in music and sound art, field recording remains under theorised. This paper aims to study this practice in relation to the technology and to modes of listening. I argue that field recording cannot be thought without its technological tools: microphones, headphones, recorders and speakers. I discuss that this set of audio technologies acts as a way of ‘translating’ the environment by allowing for a detachment toward what is listened to. I also conceptualise listening as a creative stance. To support my claim, I deploy historical examples from the sound hunting movement alongside recent scholarly works that investigate the role of imagination and empathy in music extending this method to ambient sounds. Finally, I argue that field recording can be used as a method to engage creatively with the environment.",mds,True,findable,0,0,0,0,0,2021-06-17T09:44:17.000Z,2021-06-17T09:44:17.000Z,jbru.aau,jbru,"Field Recording,Listening,Sound Environment,Technology,Link","[{'lang': 'eng', 'subject': 'Field Recording'}, {'lang': 'eng', 'subject': 'Listening'}, {'lang': 'eng', 'subject': 'Sound Environment'}, {'lang': 'eng', 'subject': 'Technology'}, {'lang': 'eng', 'subject': 'Link'}]",['6 pages'],['application/pdf']
-10.48537/hal-03220273,To Conceive Shared Affective Atmospheres Based on Discomfort Experiences for Autistic Children,Reseau International Ambiances,2020,en,Text,Creative Commons Attribution Non Commercial No Derivatives 2.0 Generic,"Autism is one of the most common developmental disorders in the world. It is defined by inadequate interaction and com- munication. This disorder induces an altered perception. We started from the sources of stress and discomfort in order to create a comforting atmosphere that allows the autistic child to progress in his care center. We so followed a multidisciplinary approach between teams of architects, engineers and child psychiatrists. Our methodology was based on the latest technologies in cognitive science in the capture of the emotional state correlated with the behavioral model, called sensory profile. We aim to propose an architectural space adequate to the sensitive particularities of autistic children in order to guarantee their well-being and comfort.",mds,True,findable,0,0,0,0,0,2021-06-17T20:46:04.000Z,2021-06-17T20:46:05.000Z,jbru.aau,jbru,"Autism,Comfort,Well-Being,Discomfort,Technology,Affective Atmospheres","[{'lang': 'eng', 'subject': 'Autism'}, {'lang': 'eng', 'subject': 'Comfort'}, {'lang': 'eng', 'subject': 'Well-Being'}, {'lang': 'eng', 'subject': 'Discomfort'}, {'lang': 'eng', 'subject': 'Technology'}, {'lang': 'eng', 'subject': 'Affective Atmospheres'}]",['6 pages'],['application/pdf']
-10.48537/hal-03220334,"Atmospheres of Rejection, How Dark Design Rejects homeless in the city",Reseau International Ambiances,2020,en,Text,Creative Commons Attribution Non Commercial No Derivatives 2.0 Generic,"You are looking for a place to sleep. You have no job, no money, and no place to stay. The night is closing in, and the city is changing its face from day to night. What will you do? Where will you go? This is the situation for millions of homeless people ‘sleeping rough’ in cities every night all over the world. This paper explores in more depth how the rejection of homeless people in urban spaces is an interplay between public space design and human bodies. The framework of ‘dark design’ is utilized to illustrate how social exclusion by design (e.g. spikes, leaning benches, inserts of metal frame etc.) is materializing, and how this is felt. The paper explores how the material exclusion of homeless people through dark design is enrolled into an ‘atmosphere of rejection’.",mds,True,findable,0,0,0,0,0,2021-06-17T20:55:13.000Z,2021-06-17T20:55:14.000Z,jbru.aau,jbru,"Dark Design,Social Exclusion,Multisensorial Embodiment","[{'lang': 'eng', 'subject': 'Dark Design'}, {'lang': 'eng', 'subject': 'Social Exclusion'}, {'lang': 'eng', 'subject': 'Multisensorial Embodiment'}]",['6 pages'],['application/pdf']
-10.18709/perscido.2022.01.ds364,The VLSAT-3 (Very Large SAT) Benchmark Suite,PerSCiDo,2022,en,Dataset,,"The VLSAT-3 benchmark suite (where ""VL"" stands for ""Very Large"") is a collection of 1200 SMT formulas to be used as benchmarks in scientific experiments and software competitions. These SMT formulas have been obtained from the automatic conversion into Nested-Unit Petri Nets (NUPNs) of a large collection of Petri nets modelling real-life problems, such as communication protocols and concurrent systems. More than 90% of these benchmarks have been used during the 16th International Satisfiability Modulo Theories Competition (SMT-COMP 2021).",fabrica,True,findable,0,0,0,0,0,2022-01-04T13:18:32.000Z,2022-01-04T13:18:33.000Z,inist.persyval,vcob,Computer science,"[{'lang': 'en', 'subject': 'Computer science'}]",['10 mo'],['SMT-LIB v2.6']
-10.48537/hal-03220369,"Photographic Driftings as a Method to Intercept the Atmosphere of the Sprawlscape, Walking Exploration of the Ring Road Around the City of Cagliari",Reseau International Ambiances,2020,en,Text,Creative Commons Attribution Non Commercial No Derivatives 2.0 Generic,"Urban strolls allow to intercept the atmospheres of a space, mediating between the moving body and the context. With a situ- ationist approach, I carried out an exploration of the sprawlscape along the SS554, the urban motorway connecting Cagliari (Italy) and its surrounding centers. The contexts I met, a particular fusion of rural and urban, are considered marginal and degraded compared to the city, thus the choice of exploring on foot, driven by the difficulty that these spaces pose to walking and the possibilities it allows to explore spaces atmospherically. The stroll was integrated by a photoreport called « flat- shades » : photography is a useful medium to explore and interprete the atmosphere of a space, and it allows the (re)presentation and sharing of this personal perceived atmosphere.",mds,True,findable,0,0,0,0,0,2021-06-17T16:47:15.000Z,2021-06-17T16:47:17.000Z,jbru.aau,jbru,"Urban Motorway,Walking,Visual Methodologies,Photography,Fieldwork,Atmospheres","[{'lang': 'eng', 'subject': 'Urban Motorway'}, {'lang': 'eng', 'subject': 'Walking'}, {'lang': 'eng', 'subject': 'Visual Methodologies'}, {'lang': 'eng', 'subject': 'Photography'}, {'lang': 'eng', 'subject': 'Fieldwork'}, {'lang': 'eng', 'subject': 'Atmospheres'}]",['6 pages'],['application/pdf']
-10.48537/hal-03220306,"The Way of Ambiances: Scientific Practices, Artistic Practices, Session 15 – Introduction",Reseau International Ambiances,2020,en,Text,Creative Commons Attribution Non Commercial No Derivatives 2.0 Generic,,mds,True,findable,0,0,0,0,0,2021-06-17T20:45:54.000Z,2021-06-17T20:45:55.000Z,jbru.aau,jbru,,,['1 pages'],['application/pdf']
-10.48537/hal-03220296,Phantasmagorias of the Post-Colonial Interiors,Reseau International Ambiances,2020,en,Text,Creative Commons Attribution Non Commercial No Derivatives 2.0 Generic,"Benjamin has stated in his Arcades Project, under “Louis P..., or the Interiorâ€, that “[t]he irreal center makes its place in the home†(Benjamin, W. The Arc. P. 1999, 9). For much of the bourgeois homes of today, the vestiges [Spurren] of an exoticism gave the private man the atmosphere of “a box [Kasten] in the theatre of the world†(ibid.). Later, the Jugendstijl made of homes an illusory, stylish setting and the interior into a Wunderkammer. This paper focuses on such a lineage, from ornaments to souvenirs, from arty to do-it- yourself, which now, in ex-colonialist nations, bring a collection of naturalistic-memories and ethno-nostalgia, mingled with a high-tech ultra-modern air, within a sense of hybrid visions of tribalscapes. Nonetheless, they engage in a visible/ invisible complex.",mds,True,findable,0,0,0,0,0,2021-06-17T16:46:55.000Z,2021-06-17T16:46:56.000Z,jbru.aau,jbru,"Post-Colonial,Figuration,Ambivalence","[{'lang': 'eng', 'subject': 'Post-Colonial'}, {'lang': 'eng', 'subject': 'Figuration'}, {'lang': 'eng', 'subject': 'Ambivalence'}]",['6 pages'],['application/pdf']
-10.18709/perscido.2017.11.ds185,Sparse Integer Matrices Collection,PerSciDo,2019,en,Dataset,Creative Commons Attribution Share Alike 4.0 International,"Collection of matrices used in exact computations. Most of them are sparse with integral or modular coefficients, some have rational or polynomial entries.",fabrica,True,findable,0,0,0,1,0,2019-03-14T16:33:23.000Z,2019-03-14T16:33:23.000Z,inist.persyval,vcob,"Computer Science,Mathematics,FOS: Mathematics,FOS: Mathematics","[{'lang': 'en', 'subject': 'Computer Science'}, {'lang': 'en', 'subject': 'Mathematics'}, {'subject': 'FOS: Mathematics', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'FOS: Mathematics', 'subjectScheme': 'Fields of Science and Technology (FOS)'}]",['5 GB'],['sms']
-10.34745/numerev_1937,La norme et la variation dans le cadre du Traitement Automatique du Langage,"CJC-Praxiling, (actes n°2022)",2023,fr,JournalArticle,Creative Commons Attribution Non Commercial No Derivatives 4.0 International,"Résumé : Cet article pose la problématique du statut de la norme et de la variation en TAL en proposant des exemples tirés des recherches précédentes concernant des modèles informatiques employés pour représenter l’acquisition de langue française. Deux cas d’étude exemplifient le choix autour de l’axe norme-variation : le calcul automatique d’une distribution de fréquence et la reconnaissance de motifs séquentiels. Que le niveau d’analyse soit le mot (premier exemple) ou le phonème (deuxième exemple), des obstacles et compromis reviennent d’une manière analogue. Le choix – souvent difficile et contraint - entre la précision de la description du langage et la nécessité d’avoir des données uniformes pour que la machine puisse les traiter aisément. Les biais évitables et inévitables, les précautions à prendre en amont, ainsi que les avantages et les inconvénients de ce type de modèles seront discutés. L’article se termine en dessinant les contours des futures complémentarités possibles entre méthodes qualitatives et quantitatives.
+The readme file Readme_SupplementalMaterial.txt provides details about each individual file content.",mds,True,findable,0,0,1,0,0,2018-07-13T09:25:11.000Z,2018-07-13T09:25:11.000Z,cern.zenodo,cern,"Multiple sclerosis,Image segmentation,Performance evaluation,Computing infrastructure,Distributed computing,MICCAI challenge","[{'subject': 'Multiple sclerosis'}, {'subject': 'Image segmentation'}, {'subject': 'Performance evaluation'}, {'subject': 'Computing infrastructure'}, {'subject': 'Distributed computing'}, {'subject': 'MICCAI challenge'}]",,
+10.17178/emaa_para-nhd2_hyperfine_3bc12b4c,Hyperfine excitation of para-NHD2 by para-H2 collisions,"UGA, CNRS, CNRS-INSU, OSUG",2021,en,Dataset,"Please acknowledge the use of EMAA Database by citing the original articles in which the data were published (BibTeX format available), and adding the following sentence in your publication:
+This research has made use of spectroscopic and collisional data from the EMAA database (https://emaa.osug.fr). EMAA is supported by the Observatoire des Sciences de l'Univers de Grenoble (OSUG),Creative Commons Attribution 4.0 International,Data access and use are ruled by the EMAA data policy.",46 hyperfine energy levels / 273 radiative transitions / 990 collisional transitions for para-H2 (10 temperatures in the range 5-50K),mds,True,findable,0,0,0,0,0,2021-11-17T14:02:20.000Z,2021-11-17T14:02:22.000Z,inist.osug,jbru,"target para-NHD2,excitationType Hyperfine,collisional excitation,collider.0 para-H2,astrophysics,interstellar medium,comets,circumstellar medium,gas,microwave spectroscopy,infrared spectroscopy,rotational excitation,rovibrational excitation,vibrational excitation,electronic excitation,collisional rate coefficients,fine structure,hyperfine structure","[{'subject': 'target para-NHD2', 'subjectScheme': 'main'}, {'subject': 'excitationType Hyperfine', 'subjectScheme': 'main'}, {'subject': 'collisional excitation', 'subjectScheme': 'main'}, {'subject': 'collider.0 para-H2', 'subjectScheme': 'var'}, {'subject': 'astrophysics', 'subjectScheme': 'var'}, {'subject': 'interstellar medium', 'subjectScheme': 'var'}, {'subject': 'comets', 'subjectScheme': 'var'}, {'subject': 'circumstellar medium', 'subjectScheme': 'var'}, {'subject': 'gas', 'subjectScheme': 'var'}, {'subject': 'microwave spectroscopy', 'subjectScheme': 'var'}, {'subject': 'infrared spectroscopy', 'subjectScheme': 'var'}, {'subject': 'rotational excitation', 'subjectScheme': 'var'}, {'subject': 'rovibrational excitation', 'subjectScheme': 'var'}, {'subject': 'vibrational excitation', 'subjectScheme': 'var'}, {'subject': 'electronic excitation', 'subjectScheme': 'var'}, {'subject': 'collisional rate coefficients', 'subjectScheme': 'var'}, {'subject': 'fine structure', 'subjectScheme': 'var'}, {'subject': 'hyperfine structure', 'subjectScheme': 'var'}]",,['Radex']
+10.5281/zenodo.4753275,Figs. 6-7 in A New Perlodes Species And Its Subspecies From The Balkan Peninsula (Plecoptera: Perlodidae),Zenodo,2012,,Image,"Creative Commons Attribution 4.0 International,Open Access","Figs. 6-7. Perlodes floridus floridus sp. n. larva. 6. Head and pronotum, dorsal view. 7. End of abdomen, ventral view.",mds,True,findable,0,0,2,0,0,2021-05-12T18:32:05.000Z,2021-05-12T18:32:06.000Z,cern.zenodo,cern,"Biodiversity,Taxonomy,Animalia,Arthropoda,Insecta,Plecoptera,Perlodidae,Perlodes","[{'subject': 'Biodiversity'}, {'subject': 'Taxonomy'}, {'subject': 'Animalia'}, {'subject': 'Arthropoda'}, {'subject': 'Insecta'}, {'subject': 'Plecoptera'}, {'subject': 'Perlodidae'}, {'subject': 'Perlodes'}]",,
+10.17178/amma-catch.pa.sw_snf,"Soil dataset (soil moisture and temperature profiles), within the Ferlo site, Senegal","IRD, CNRS-INSU, OSUG, OMP, OREME",2013,en,Dataset,"Creative Commons Attribution 4.0 International,Data access and use are ruled by the AMMA-CATCH data policy.,For any publication using AMMA-CATCH data, authors are asked to:
-Abstract : This article deals with the problem of the status of norm and variation in NLP by proposing examples drawn from previous research concerning computer models used to represent French language acquisition. Two case studies illustrate the choice around the norm-variation axis: the automatic computation of a frequency distribution and the recognition of sequential patterns in words containing specific syllable sequences that are hard to learn due to their inner phonetic difficulty. Whether the level of analysis is the word (first example) or the phoneme (second example), obstacles and trade-offs come up in a similar way. The choice - often difficult and constrained - between the accuracy of the language description and the need to have uniform data for the machine to be easily handled. The avoidable and unavoidable biases, the precautions to be taken beforehand, as well as the advantages and disadvantages of these types of NLP models will be discussed. The article ends by outlining the possible future complementarities between qualitative and quantitative methods in current linguistics.
+Mandatory: cite the reference article and the DOI of the observatory
-Keywords : first language acquisition; NLP, French; variation; norm
-",api,True,findable,0,0,0,0,0,2023-11-29T08:55:52.000Z,2023-11-29T08:56:00.000Z,inist.mshsud,jbru,"variation,TAL,Acquisition du langage,français L1,norme","[{'subject': 'variation'}, {'subject': 'TAL'}, {'subject': 'Acquisition du langage'}, {'subject': 'français L1'}, {'subject': 'norme'}]",,
-10.48537/hal-03220360,"Reasonance, Sensing a Shitstorm",Reseau International Ambiances,2020,en,Text,Creative Commons Attribution Non Commercial No Derivatives 2.0 Generic,"In this paper we explore how the affective and bodily experience of being the centre of a written shitstorm, can be translated to others through sensification. Through the 3D system Sound-O-Matic3, our installation aims to explore how an auralization of a shit- storm can allow the listeners to be affected by an atmosphere that was earlier only felt by the exposed individual. The paper describes the design process guided by the concept of reasonance through an infræsthetic approach, as a way to explore, how we should not only resonate with the experience, but also critically reflect on the entanglements of resonance and reason. We identify four main refrains in the shitstorm that can be translated into the present through the installation, extending the shitstorm into a new sensory space that we can hear, feel and discuss.",mds,True,findable,0,0,0,0,0,2021-06-17T09:44:28.000Z,2021-06-17T09:44:29.000Z,jbru.aau,jbru,"Sound installation,shitstorm,reasonance,infræsthetic,affective atmosphere","[{'lang': 'eng', 'subject': 'Sound installation'}, {'lang': 'eng', 'subject': 'shitstorm'}, {'lang': 'eng', 'subject': 'reasonance'}, {'lang': 'eng', 'subject': 'infræsthetic'}, {'lang': 'eng', 'subject': 'affective atmosphere'}]",['6 pages'],['application/pdf']
-10.48537/hal-03220374,"The Ambience of Tension, Socio-Spatial Negotiation as Urban Cultural Heritage",Reseau International Ambiances,2020,en,Text,Creative Commons Attribution Non Commercial No Derivatives 2.0 Generic,"Inherent in urbanity is tension, where the “weak tactics of the strong,†which lead the formal shaping of our cities are negotiated by the “strong tactics of the weak†(de Certeau, 1984), a reactive performance by its citizenry. An example is the citizen-led repurposing of urban form, where new mean- ing and function is assigned to a site, and in doing so, a distinct atmosphere produced. This paper explores how the socio-spatial response to this tension contributes a distinct element of a city atmosphere, while challenging the dichotomization of tangible and intangible cultural heritage. By drawing on ethnographic observation of the use of the steps in front of Flinders Street Station in Melbourne, this paper aims to conceptualize urban atmosphere as the result of this reactive process.",mds,True,findable,0,0,0,0,0,2021-06-17T16:47:22.000Z,2021-06-17T16:47:22.000Z,jbru.aau,jbru,"Cultural Heritage,Spatial Practice,Tension,Embodiment,Urban Culture","[{'lang': 'eng', 'subject': 'Cultural Heritage'}, {'lang': 'eng', 'subject': 'Spatial Practice'}, {'lang': 'eng', 'subject': 'Tension'}, {'lang': 'eng', 'subject': 'Embodiment'}, {'lang': 'eng', 'subject': 'Urban Culture'}]",['6 pages'],['application/pdf']
-10.48537/hal-03220327,"Second-Order Ambiances, Background Music Transforming Public Spaces",Reseau International Ambiances,2020,en,Text,Creative Commons Attribution Non Commercial No Derivatives 2.0 Generic,"Background music is affected by so- cial, legal, economic and technological factors. It is intended to be listened to inattentively and is predominantly selected by someone other than those who encounter it. The ACMESOCS (2019-2022) research project examines urban auditory cultures, particularly how they are articulated, experienced and reclaimed within the acoustic environments of different-sized cities, thus contributing to policy-makers’ awareness of the æsthetic design of acoustic spaces and the defining of urban sonic identity. This paper presents the preliminary results of a case study carried out in selected enterprises located in an individual shopping mall. It con- centrates on the preferences of the end-users of background music and on their possibilities for alternative individual acoustic design.",mds,True,findable,0,0,0,0,0,2021-06-17T16:48:19.000Z,2021-06-17T16:48:19.000Z,jbru.aau,jbru,"Ubiquitous Music,Ambiances,Acoustic Design,Sonic Environment,Identity,Media","[{'lang': 'eng', 'subject': 'Ubiquitous Music'}, {'lang': 'eng', 'subject': 'Ambiances'}, {'lang': 'eng', 'subject': 'Acoustic Design'}, {'lang': 'eng', 'subject': 'Sonic Environment'}, {'lang': 'eng', 'subject': 'Identity'}, {'lang': 'eng', 'subject': 'Media'}]",['6 pages'],['application/pdf']
+ (1) Galle et al. (2018). AMMA-CATCH a Critical Zone Observatory in West Africa Monitoring a Region in Transition. Vadose Zone Journal, 17 (1), 18006.
+ (2) AMMA-CATCH (1990). AMMA-CATCH : a hydrological, meteorological and ecological observatory on West Africa. IRD, CNRS-INSU, OSUG, OMP, OREME. doi:10.17178/AMMA-CATCH.all
+
+Optional: cite the DOI of each dataset used.
+
+Co-authorship: depending on the contribution of the data to the scientific results obtained, the authors should either propose co-authorship to the data providers or at least acknowledge their contribution.",Documentation of soil water content and soil temperature.,mds,True,findable,0,0,1,0,0,2021-11-15T12:53:52.000Z,2021-11-15T12:53:54.000Z,inist.osug,jbru,"Soil Temperature, soil moisture,Sahelian climate,Soil Moisture/Water Content at depth 10 cm (2),Soil Moisture/Water Content at depth 10 cm,Soil Temperature at depth 10 cm,Soil Moisture/Water Content at depth 40 cm,Soil Moisture/Water Content at depth 5 cm (2),Soil Moisture/Water Content at depth 1 m,Soil Temperature at depth 5 cm,Soil Moisture/Water Content at depth 5 cm","[{'subject': 'Soil Temperature, soil moisture', 'subjectScheme': 'main'}, {'subject': 'Sahelian climate', 'subjectScheme': 'main'}, {'subject': 'Soil Moisture/Water Content at depth 10 cm (2)', 'subjectScheme': 'var'}, {'subject': 'Soil Moisture/Water Content at depth 10 cm', 'subjectScheme': 'var'}, {'subject': 'Soil Temperature at depth 10 cm', 'subjectScheme': 'var'}, {'subject': 'Soil Moisture/Water Content at depth 40 cm', 'subjectScheme': 'var'}, {'subject': 'Soil Moisture/Water Content at depth 5 cm (2)', 'subjectScheme': 'var'}, {'subject': 'Soil Moisture/Water Content at depth 1 m', 'subjectScheme': 'var'}, {'subject': 'Soil Temperature at depth 5 cm', 'subjectScheme': 'var'}, {'subject': 'Soil Moisture/Water Content at depth 5 cm', 'subjectScheme': 'var'}]",,"['CSV', 'NETCDF', 'O&M 1.0']"
+10.17178/cryobsclim.clb.lacblanc,"Lac Blanc, Automatic Weather Station",CNRS - OSUG - Meteo France - Irstea,2000,,Dataset,"Data access and use are ruled by the CRYOBS-CLIM data policy.,Always quote below citation to Guyomarch et al. (2019) when using data.
+G. Guyomarc'h, H. bellot, V. Vionnet, F. Naaim-Bouvet, Y. Deliot, F. Fontaine, P. Pugliese, M. Naaim, K. Nishimura, A meteorological and blowing snow data set (2000-2016) from a high altitude alpine site (Col du Lac Blanc, France, 2720 m a.s.l), Earth System Science Data, 11(2019), 57-69, https://doi.org/10.5194/essd-11-57-2019. The following acknowledging sentence should appear in publications using Cryobs-Clim-CLB data and products: ""Cryobs-Clim Col du Lac Blanc is funded by Meteo France, Irstea, the Institut National des Sciences de l’Univers (INSU/CNRS), and the Observatoire des Sciences de l’Univers de Grenoble (OSUG / Université Grenoble Alpes)â€. You are invited to contact the PI(s) or lead scientist for more information about the data and to include the acknowledgement sentence in any publication using the data.","This dataset is part of the Cryobs-Clim-CLB (CRYosphere, an OBServatory of the CLIMate – Col du Lac Blanc) observatory",mds,True,findable,0,0,1,0,0,2018-04-09T10:16:36.000Z,2018-04-09T10:16:37.000Z,inist.osug,jbru,"Wind speed,Wind direction,Air temperature,Snow depth","[{'subject': 'Wind speed', 'subjectScheme': 'main'}, {'subject': 'Wind direction', 'subjectScheme': 'main'}, {'subject': 'Air temperature', 'subjectScheme': 'main'}, {'subject': 'Snow depth', 'subjectScheme': 'main'}]",,['CSV']
+10.5281/zenodo.5506676,Bragg ptychography inversion package for paper - Revealing nano-scale lattice distortions in implanted material with 3D Bragg ptychography,Zenodo,2021,,Software,"Creative Commons Attribution 4.0 International,Open Access","This repository contains Matlab code and data to achieve 3D Bragg ptychography inversion as described in the paper [1].<br> It includes the following items:<br> 1/ data_for_inversion folder, it contains 3D diffraction patterns ordered sequencially in positional numbers. For an example, dps_pos_*.mat means the 3D diffraction pattern taken at position number *. The first two dimensions of the 3D diffraction pattern are the two axes from the detector, and the third dimension is the angular rotation axis. It also contains the mask (i.e. mask.mat) for the detector, since detectors can have modular gaps, and hot and dead pixels. Moreover, it has two masks (i.e. probe_ft_up1.mat and probe_ft_up3.mat) for the 2D probe function in reciprocal space. up1 and up3 respectively means the angular upsampling of 1 and 3 times.<br> 2/ initial_probes folder, it contains 3 different probes that were used as the initial probe guesses for the inversion codes. ptycho_characterisation.mat is the probe characterised from forward ptychography. probe_ft_50%wrong.mat is the Fourier transform of the nominated NA of the KB but 50% bigger. GauFunc_50%wrong.mat is a probe with Gaussian profile whose FWHM is 50% bigger than the nominated probe size.<br> 3/ codes folder, it contains all the codes for the inversion.<br> 4/ reconstruction.m file, it is the entry point of the inversion package and contains all the parameters related to the experiment and the reconstruction.",mds,True,findable,0,0,0,0,0,2021-09-23T11:37:30.000Z,2021-09-23T11:37:31.000Z,cern.zenodo,cern,"coherent diffraction imaging,x-ray 3D imaging,crystalline microscopy","[{'subject': 'coherent diffraction imaging'}, {'subject': 'x-ray 3D imaging'}, {'subject': 'crystalline microscopy'}]",,
+10.5281/zenodo.8115575,napari: a multi-dimensional image viewer for Python,Zenodo,2023,,Software,"BSD 3-Clause ""New"" or ""Revised"" License,Open Access","napari 0.4.18 We're happy to announce the release of napari 0.4.18! napari is a fast, interactive, multi-dimensional image viewer for Python. It's designed for browsing, annotating, and analyzing large multi-dimensional images. It's built on top of Qt (for the GUI), vispy (for performant GPU-based rendering), and the scientific Python stack (numpy, scipy). This is primarily a bug-fix release, addressing many issues from 0.4.17 (see ""Bug Fixes"", below). However, it also contains some performance improvements and several exciting new features (see ""Highlights""), so read on below! For more information, examples, and documentation, please visit our website: https://napari.org Highlights Drawing polygons in the Shapes layer can now be done much faster with the new lasso tool (napari/napari/#5555) Surface layers now support textures and vertex colors, allowing a whole new type of dataset to be visualised in napari. Have a look at <code>surface_multi_texture.py</code> and <code>surface_texture_and_colors.py</code> in the <code>examples</code> directory for some pretty demos! (napari/napari/#5642) Previously, navigating an image required switching out of whatever drawing mode you might have been using and going back to pan/zoom mode. Now you can use the mouse wheel to zoom in and out in any mode. (napari/napari/#5701) Painting labels is now much, much faster (achieving 60fps even on an 8k x 8k image) (napari/napari/#5723 and napari/napari/#5732) Vectors layers can now be displayed with two different styles of arrowheads, instead of just plain lines. This removes a longstanding limitation of the vectors layer! (napari/napari/#5740) New Features Overlays 2.0 (napari/napari/#4894) expose custom image interpolation kernels (napari/napari/#5130) Add user agent environment variable for pip installations (napari/napari/#5135) Add option to check if plugin try to set viewer attr outside main thread (napari/napari/#5195) Set selection color for QListView item. (napari/napari/#5202) Add warning about set private attr when using proxy (napari/napari/#5209) Shapes interpolation (napari/napari/#5334) Add dask settings to preferences (napari/napari/#5490) Add lasso tool for faster drawing of polygonal Shapes (napari/napari/#5555) Feature: support for textures and vertex colors on Surface layers (napari/napari/#5642) Back point selection with a psygnal Selection (napari/napari/#5691) Zooming with the mouse wheel in any mode (napari/napari/#5701) Add cancellation functionality to progress (napari/napari/#5728) Add arrow display styles to Vectors layer (napari/napari/#5740) Improvements Set keyboard focus on console when opened (napari/napari/#5208) Push variables to console when instantiated (napari/napari/#5210) Tracks layer creation performance improvement (napari/napari/#5303) PERF: Event emissions and perf regression. (napari/napari/#5307) Much faster FormatStringEncoding (napari/napari/#5315) Add parent when creating layer context menu to inherit application theme and add style entry for disabled widgets and menus (napari/napari/#5381) Add correct <code>enablement</code> kwarg to <code>Split Stack</code> action, <code>Convert data type</code> submenu and <code>Projections</code> submenu (napari/napari/#5437) Apply disabled widgets style only for menus and set menus styles for <code>QModelMenu</code> and <code>QMenu</code> instances (napari/napari/#5446) Add disabled style rule for <code>QComboBox</code> following the one for <code>QPushButton</code> (napari/napari/#5469) Allow layers control section to resize to contents (napari/napari/#5474) Allow to use <code>Optional</code> annotation in function return type for magicgui functions (napari/napari/#5595) Skip equality comparisons in EventedModel when unnecessary (napari/napari/#5615) Bugfix: improve layout of Preferences > Shortcuts tables (napari/napari/#5679) Improve preferences genration (napari/napari/#5696) Add dev example for adding custom overlays. (napari/napari/#5719) Disable buffer swapping (napari/napari/#5741) Remove max brush size from increase brush size keybinding (napari/napari/#5761) Explicitly list valid layer names in types (napari/napari/#5823) Sort npe1 widget contributions (napari/napari/#5865) feat: add <code>since_version</code> argument of <code>rename_argument</code> decorator (napari/napari/#5910) Emit extra information with layer.events.data (napari/napari/#5967) Performance Return early when no slicing needed (napari/napari/#5239) Tracks layer creation performance improvement (napari/napari/#5303) PERF: Event emissions and perf regression. (napari/napari/#5307) Much faster FormatStringEncoding (napari/napari/#5315) Fix inefficient label mapping in direct color mode (10-20x speedup) (napari/napari/#5723) Efficient labels mapping for drawing in Labels (60 FPS even with 8000x8000 images) (napari/napari/#5732) Disable buffer swapping (napari/napari/#5741) Bug Fixes Warn instead of failing on empty or invalid alt-text (napari/napari/#4505) Fix display of order and scale combinations (napari/napari/#5004) Enforce that contrast limits must be increasing (napari/napari/#5036) Bugfix: Move Window menu to be before Help (napari/napari/#5093) Add extra garbage collection for some viewer tests (napari/napari/#5108) Connect image to plane events and expose them (napari/napari/#5131) Workaround for discover themes from plugins (napari/napari/#5150) Add missed dialogs to <code>qtbot</code> in <code>test_qt_notifications</code> to prevent segfaults (napari/napari/#5171) DOC Update docstring of <code>add_dock_widget</code> & <code>_add_viewer_dock_widget</code> (napari/napari/#5173) Fix unsortable features (napari/napari/#5186) Avoid possible divide-by-zero in Vectors layer thumbnail update (napari/napari/#5192) Disable napari-console button when launched from jupyter (napari/napari/#5213) Volume rendering updates for isosurface and attenuated MIP (napari/napari/#5215) Return early when no slicing needed (napari/napari/#5239) Check strictly increasing values when clipping contrast limits to a new range (napari/napari/#5258) UI Bugfix: Make disabled QPushButton more distinct (napari/napari/#5262) Respect background color when calculating scale bar color (napari/napari/#5270) Fix circular import in _vispy module (napari/napari/#5276) Use only data dimensions for cord in status bar (napari/napari/#5283) Prevent obsolete reports about failure of cleaning viewer instances (napari/napari/#5317) Add scikit-image[data] to install_requires, because it's required by builtins (napari/napari/#5329) Fix repeating close dialog on macOS and qt 5.12 (napari/napari/#5337) Disable napari-console if napari launched from vanilla python REPL (napari/napari/#5350) For npe2 plugin, use manifest display_name for File > Open Samples (napari/napari/#5351) Bugfix plugin display_name use (File > Open Sample, Plugin menus) (napari/napari/#5366) Fix editing shape data above 2 dimensions (napari/napari/#5383) Fix test keybinding for layer actions (napari/napari/#5406) fix theme id not being used correctly (napari/napari/#5412) Clarify layer's editable property and separate interaction with visible property (napari/napari/#5413) Fix theme reference to get image for <code>success_label</code> style (napari/napari/#5447) Bugfix: Ensure layer._fixed_vertex is set when rotating (napari/napari/#5449) Fix <code>_n_selected_points</code> in _layerlist_context.py (napari/napari/#5450) Refactor Main Window status bar to improve information presentation (napari/napari/#5451) Bugfix: Fix test_get_system_theme test for <code>name</code> to <code>id</code> change (napari/napari/#5456) Bugfix: POLL_INTERVAL_MS used in QTimer needs to be an int on python 3.10 (napari/napari/#5467) Bugfix: Add missing Enums and Flags required by PySide6 > 6.4 (napari/napari/#5480) BugFix: napari does not start with Python v3.11.1: ""ValueError: A distribution name is required."" (napari/napari/#5482) Fix inverted LUT and blending (napari/napari/#5487) Fix opening file dialogs in PySide (napari/napari/#5492) Handle case when QtDims play thread is partially deleted (napari/napari/#5499) Ensure surface normals and wireframes are using Models internally (napari/napari/#5501) Recursively check for dependent property to fire events. (napari/napari/#5528) Set PYTHONEXECUTABLE as part of macos fixes on (re)startup (napari/napari/#5531) Un-set unified title and tool bar on mac (Qt property) (napari/napari/#5533) Fix key error issue of action manager (napari/napari/#5539) Bugfix: ensure Checkbox state comparisons are correct by using Qt.CheckState(state) (napari/napari/#5541) Clean dangling widget in test (napari/napari/#5544) Fix <code>test_worker_with_progress</code> by wait on worker end (napari/napari/#5548) Fix min req (napari/napari/#5560) Fix vispy axes labels (napari/napari/#5565) Fix colormap utils error suggestion code and add a test (napari/napari/#5571) Fix problem of missing plugin widgets after minimize napari (napari/napari/#5577) Make point size isotropic (napari/napari/#5582) Fix guard of qt import in <code>napari.utils.theme</code> (napari/napari/#5593) Fix empty shapes layer duplication and <code>Convert to Labels</code> enablement logic for selected empty shapes layers (napari/napari/#5594) Stop using removed multichannel= kwarg to skimage functions (napari/napari/#5596) Add information about <code>syntax_style</code> value in error message for theme validation (napari/napari/#5602) Remove catch_warnings in slicing (napari/napari/#5603) Incorret theme should not prevent napari from start (napari/napari/#5605) Unblock axis labels event to be emitted when slider label changes (napari/napari/#5631) Bugfix: IndexError slicing Surface with higher-dimensional vertex_values (napari/napari/#5635) Bugfix: Convert Viewer Delete button to QtViewerPushButton with action and shortcut (napari/napari/#5636) Change dim <code>axis_label</code> resize logic to set width using only displayed labels width (napari/napari/#5640) Feature: support for textures and vertex colors on Surface layers (napari/napari/#5642) Fix features issues with init param and property setter (napari/napari/#5646) Bugfix: Don't double toggle visibility for linked layers (napari/napari/#5656) Bugfix: ensure pan/zoom buttons work, along with spacebar keybinding (napari/napari/#5669) Bugfix: Add Tracks to qt_keyboard_settings (napari/napari/#5678) Fix automatic naming and GUI exposure of multiple unnamed colormaps (napari/napari/#5682) Fix mouse movement handling for <code>TransformBoxOverlay</code> (napari/napari/#5692) Update environment.yml (napari/napari/#5693) Resolve symlinks from path to environment for setting path (napari/napari/#5704) Fix tracks color-by when properties change (napari/napari/#5708) Fix Sphinx warnings (napari/napari/#5717) Do not use depth for canvas overlays; allow setting blending mode for overlays (napari/napari/#5720) Unify event behaviour for points and its qt controls (napari/napari/#5722) Fix camera 3D absolute rotation bug (napari/napari/#5726) Maint: Bump mypy (napari/napari/#5727) Style <code>QGroupBox</code> indicator (napari/napari/#5729) Fix centering of non-displayed dimensions (napari/napari/#5736) Don't attempt to use npe1 readers in napari.plugins._npe2.read (napari/napari/#5739) Prevent canvas micro-panning on point add (",mds,True,findable,0,0,0,0,0,2023-07-05T05:01:21.000Z,2023-07-05T05:01:22.000Z,cern.zenodo,cern,,,,
+10.48537/hal-03220337,"Happy Atmospheres, Metro Stations as Sound Places of Happiness",Reseau International Ambiances,2020,en,Text,Creative Commons Attribution Non Commercial No Derivatives 2.0 Generic,"Taking up the slogan of the teams of architects “for happy architecture†for the design of the new E line of the metro in the Lyon area (France), this paper defends the idea of a happy atmosphere as a design tool. The research presented here focuses on the sound dimensions of the architectural project. Principles of a sound charter are discussed and ambiance creation is thought through the design of tensions between the material, sensitive and symbolic conditions of the experience of a back plan and the conditions of appearance of sound events. Ambiance design is a means of liberating the perception and representation of metro’s users and a method to design sensitive worlds for the public, participating in this way in the renewing the ordinary experience of the metro.",mds,True,findable,0,0,0,0,0,2021-06-17T16:48:53.000Z,2021-06-17T16:48:54.000Z,jbru.aau,jbru,"Metro,Ambiances,Events,Sounds,Acoustics,Charter,Happy Places","[{'lang': 'eng', 'subject': 'Metro'}, {'lang': 'eng', 'subject': 'Ambiances'}, {'lang': 'eng', 'subject': 'Events'}, {'lang': 'eng', 'subject': 'Sounds'}, {'lang': 'eng', 'subject': 'Acoustics'}, {'lang': 'eng', 'subject': 'Charter'}, {'lang': 'eng', 'subject': 'Happy Places'}]",['6 pages'],['application/pdf']
+10.5281/zenodo.4761355,"Figs. 88-91. Dictyogenus fontium species complex, egg characteristics. 88 in Two New Species Of Dictyogenus Klapálek, 1904 (Plecoptera: Perlodidae) From The Jura Mountains Of France And Switzerland, And From The French Vercors And Chartreuse Massifs",Zenodo,2019,,Image,"Creative Commons Attribution 4.0 International,Open Access","Figs. 88-91. Dictyogenus fontium species complex, egg characteristics. 88. Egg, upper view from one ridge with two faces and the anchor visible. Gougra, Val de Moiry, inner-Alpine upper Rhône Valley, canton of Valais, Switzerland. 89. Egg, upper view from one ridge with two faces and the anchor visible. Campello",mds,True,findable,0,0,0,0,0,2021-05-14T07:52:31.000Z,2021-05-14T07:52:32.000Z,cern.zenodo,cern,"Biodiversity,Taxonomy","[{'subject': 'Biodiversity'}, {'subject': 'Taxonomy'}]",,
+10.5281/zenodo.4776419,PACT1D/PACT-1D-CALNEX: PACT-1D model version v1 for the CALNEX case study,Zenodo,2021,,Software,Open Access,"We present a new one-dimensional chemistry and transport model which performs surface chemistry based on molecular collisions and chemical conversion, allowing us to add detailed HONO formation chemistry at the ground. The model is called Platform for Atmospheric Chemistry and Transport in 1-Dimension (PACT-1D), which is used here for used CALNEX data interpretation as discussed in Tuite et al 2021 (DOI to follow).",mds,True,findable,0,0,0,0,0,2021-05-20T16:15:44.000Z,2021-05-20T16:25:53.000Z,cern.zenodo,cern,,,,
+10.6084/m9.figshare.23737431,Supplementary document for Flexible optical fiber channel modeling based on neural network module - 6356438.pdf,Optica Publishing Group,2023,,Text,Creative Commons Attribution 4.0 International,Supplement 1,mds,True,findable,0,0,0,0,0,2023-07-26T14:48:51.000Z,2023-08-10T20:33:33.000Z,figshare.ars,otjm,Uncategorized,[{'subject': 'Uncategorized'}],['684917 Bytes'],
+10.13140/rg.2.2.17542.47682,Les pouvoirs de transformation des Scop : entreprises et territoires,Université Grenoble Alpes - URSCOP Auvergne Rhône-Alpes,2017,,Text,,,,True,findable,0,0,0,0,0,2017-09-28T16:17:39.000Z,2017-09-28T16:17:39.000Z,rg.rg,rg,,,,
+10.5281/zenodo.4759507,"Figs. 53-58 in Contribution To The Knowledge Of The Protonemura Corsicana Species Group, With A Revision Of The North African Species Of The P. Talboti Subgroup (Plecoptera: Nemouridae)",Zenodo,2009,,Image,"Creative Commons Attribution 4.0 International,Open Access","Figs. 53-58. Larva of Protonemura berberica Vinçon & S{nchez-Ortega, 1999. 53: front angle of the pronotum; 54: hind femur; 55: outer apical part of the femur; 56: 6th tergal segment; 57: basal segments of the cercus; 58: 15th segment of the cercus (scale 0.1 mm).",mds,True,findable,0,0,2,0,0,2021-05-14T02:26:30.000Z,2021-05-14T02:26:30.000Z,cern.zenodo,cern,"Biodiversity,Taxonomy,Animalia,Arthropoda,Insecta,Plecoptera,Nemouridae,Protonemura","[{'subject': 'Biodiversity'}, {'subject': 'Taxonomy'}, {'subject': 'Animalia'}, {'subject': 'Arthropoda'}, {'subject': 'Insecta'}, {'subject': 'Plecoptera'}, {'subject': 'Nemouridae'}, {'subject': 'Protonemura'}]",,
+10.5061/dryad.rxwdbrvbg,"Genomic shifts, phenotypic clines and fitness costs associated with cold-tolerance in the Asian tiger mosquito",Dryad,2022,en,Dataset,Creative Commons Zero v1.0 Universal,"Climatic variation is a key driver of genetic differentiation and phenotypic traits evolution, and local adaptation to temperature is expected in widespread species. We investigated phenotypic and genomic changes in the native range of the Asian tiger mosquito, Aedes albopictus. We first refine the phylogeographic structure based on genome-wide regions (1,901 double-digest restriction-site associated DNA single nucleotide polymophisms [ddRAD SNPs]) from 41 populations. We then explore the patterns of cold adaptation using phenotypic traits measured in common garden (wing size and cold tolerance) and genotype–temperature associations at targeted candidate regions (51,706 exon-capture SNPs) from nine populations. We confirm the existence of three evolutionary lineages including clades A (Malaysia, Thailand, Cambodia, and Laos), B (China and Okinawa), and C (South Korea and Japan). We identified temperature-associated differentiation in 15 out of 221 candidate regions but none in ddRAD regions, supporting the role of directional selection in detected genes. These include genes involved in lipid metabolism and a circadian clock gene. Most outlier SNPs are differently fixed between clades A and C, whereas clade B has an intermediate pattern. Females are larger at higher latitudes yet produce no more eggs, which might favor the storage of energetic reserves in colder climates. Nondiapausing eggs from temperate populations survive better to cold exposure than those from tropical populations, suggesting they are protected from freezing damages but this cold tolerance has a fitness cost in terms of egg viability. Altogether, our results provide strong evidence for the thermal adaptation of A. albopictus across its wide temperature range.",mds,True,findable,89,1,0,0,0,2022-11-18T18:12:59.000Z,2022-11-18T18:13:00.000Z,dryad.dryad,dryad,"FOS: Biological sciences,FOS: Biological sciences,Aedes albopictus,ddRAD Sequencing,thermal adaptation,Common garden,fitness,cold tolerance,Wing Size","[{'subject': 'FOS: Biological sciences', 'subjectScheme': 'fos'}, {'subject': 'FOS: Biological sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Aedes albopictus'}, {'subject': 'ddRAD Sequencing'}, {'subject': 'thermal adaptation'}, {'subject': 'Common garden'}, {'subject': 'fitness'}, {'subject': 'cold tolerance'}, {'subject': 'Wing Size'}]",['10516046 bytes'],
+10.48537/hal-03220317,"Sensing Vulnerability, Listening to Urban Atmosphere, The Political Possibility of Participatory Sound Art Practice Within Palermo’s Suburbs",Reseau International Ambiances,2020,en,Text,Creative Commons Attribution Non Commercial No Derivatives 2.0 Generic,"The article discusses how the sonic environment reflects and shapes the atmosphere of vulnerable urban areas. It aims to investigate the potential of critical listening as a tool for attuning and exploring everyday public feelings, and it seeks to engage collaborative sound-art practice as a relevant means for empowering local communities. The contribu- tion provides the outcomes of a case study developed in Palermo at “Quartiere San Giovanni e Paolo†where the author was involved in a public art process as researcher and sound artist, and developed a participa- tory project named Voci Fuori Campo. The action-research uncovered unprecedented perspectives on the relationship between vulnerable neighborhoods, power hierarchies, social inequalities, and gender issues.",fabrica,True,findable,0,0,0,0,0,2021-06-18T12:37:03.000Z,2021-06-18T12:37:03.000Z,jbru.aau,jbru,"Sonic Environment,Social Vulnerability,Participatory Sound Art Practice,Policy Analysis,Design","[{'lang': 'eng', 'subject': 'Sonic Environment'}, {'lang': 'eng', 'subject': 'Social Vulnerability'}, {'lang': 'eng', 'subject': 'Participatory Sound Art Practice'}, {'lang': 'eng', 'subject': 'Policy Analysis'}, {'lang': 'eng', 'subject': 'Design'}]",['6 pages'],['application/pdf']
+10.17178/cryobsclim.clb.dome,"Dome, Automatic Weather Station",CNRS - OSUG - Meteo France - Irstea,2000,,Dataset,"Data access and use are ruled by the CRYOBS-CLIM data policy.,Always quote below citation to Guyomarch et al. (2019) when using data.
+G. Guyomarc'h, H. bellot, V. Vionnet, F. Naaim-Bouvet, Y. Deliot, F. Fontaine, P. Pugliese, M. Naaim, K. Nishimura, A meteorological and blowing snow data set (2000-2016) from a high altitude alpine site (Col du Lac Blanc, France, 2720 m a.s.l), Earth System Science Data, 11(2019), 57-69, https://doi.org/10.5194/essd-11-57-2019. The following acknowledging sentence should appear in publications using Cryobs-Clim-CLB data and products: ""Cryobs-Clim Col du Lac Blanc is funded by Meteo France, Irstea, the Institut National des Sciences de l’Univers (INSU/CNRS), and the Observatoire des Sciences de l’Univers de Grenoble (OSUG / Université Grenoble Alpes)â€. You are invited to contact the PI(s) or lead scientist for more information about the data and to include the acknowledgement sentence in any publication using the data.","This dataset is part of the Cryobs-Clim-CLB (CRYosphere, an OBServatory of the CLIMate – Col du Lac Blanc) observatory",mds,True,findable,0,0,1,0,0,2018-04-09T10:16:36.000Z,2018-04-09T10:16:36.000Z,inist.osug,jbru,"Wind speed,Wind direction,Air temperature","[{'subject': 'Wind speed', 'subjectScheme': 'main'}, {'subject': 'Wind direction', 'subjectScheme': 'main'}, {'subject': 'Air temperature', 'subjectScheme': 'main'}]",,['CSV']
+10.48537/hal-03220242,"Atmosphere, Anthropocene, Urbanity, Sensitivity, Session 1 – Introduction",Reseau International Ambiances,2020,en,Text,Creative Commons Attribution Non Commercial No Derivatives 2.0 Generic,,fabrica,True,findable,0,0,0,0,0,2021-06-16T15:51:12.000Z,2021-06-16T15:51:13.000Z,jbru.aau,jbru,,,['3 pages'],['application/pdf']
+10.5281/zenodo.4964223,"FIGURE 39 in Two new species of Protonemura Kempny, 1898 (Plecoptera: Nemouridae) from the Italian Alps",Zenodo,2021,,Image,Open Access,FIGURE 39. Distribution map of taxa belonging to the Protonemura auberti species complex in the Italian Alps,mds,True,findable,0,0,5,0,0,2021-06-16T08:25:45.000Z,2021-06-16T08:25:47.000Z,cern.zenodo,cern,"Biodiversity,Taxonomy,Animalia,Arthropoda,Insecta,Plecoptera,Nemouridae,Protonemura","[{'subject': 'Biodiversity'}, {'subject': 'Taxonomy'}, {'subject': 'Animalia'}, {'subject': 'Arthropoda'}, {'subject': 'Insecta'}, {'subject': 'Plecoptera'}, {'subject': 'Nemouridae'}, {'subject': 'Protonemura'}]",,
10.48380/cwsp-mj37,"In-situ hydrolysis rate constants of ATP as a function of p-T-X, exploring the limits of life",Deutsche Geologische Gesellschaft - Geologische Vereinigung e.V. (DGGV),2023,en,Text,,"<p>In recent decades varies extremophiles were found deep in the lithosphere. Experimental studies showed that life is possible at 121 °C (Takai et al. 2008) and the gigapascal range (Sharma et al. 2002), which is beyond the p-T-range of the investigated lithosphere. Knowledge on the kinetic stability of vital molecular compounds, like ATP, can help us constraining the conditions possible for life.</p>
<p>All metabolism relies on the exergonic enzymatic hydrolysis of adenosine triphosphate (ATP) to adenosine diphosphate (ADP). At elevated temperatures, the enhanced kinetics of the non-enzymatic hydrolysis counteracts the enzymatic driven reaction; hence, it will limit the bioavailability of ATP.</p>
<p>We used an autoclave and a hydrothermal diamond anvil cell attached to a Raman spectrometer for in-situ investigation of the p-T-X-effects on the kinetics of the non-enzymatic ATP hydrolysis. At vapor pressure the half-lives were about 2-5 mins at 120 °C (Moeller et al. 2022). Up to 140 MPa, all results show an Arrhenian relationship in the T-range of 80-120 °C. The pressure effect can be best described by a power law; below 500 MPa the p-effect is vanishingly small, and above the rate constant increases exponentially. Addition of MgCl<sub>2</sub> up too 4 wt% slows down the hydrolysis. A distinguished effect of NaCl and CaCl<sub>2</sub> was not observed.  </p>
<p>The proposed limit for ATP-based life of 195 °C by Moeller et al. (2022) is lowered by additional pressure or elevated by MgCl<sub>2</sub>, respectively. These observations strengthen the idea that life could exist far deeper in the lithosphere as discovered yet.</p>
",api,True,findable,0,0,0,0,0,2023-12-11T19:41:41.000Z,2023-12-11T19:41:41.000Z,mcdy.dohrmi,mcdy,,,,
-10.48537/hal-03220249,"At the Edges of the Phenomenal, The Design of Architectural and Urban Ambiances as a Reconciliation Between Ourselves and the World",Reseau International Ambiances,2020,en,Text,Creative Commons Attribution Non Commercial No Derivatives 2.0 Generic,"The limits of sensory apprehension can take different forms: phenomena can be so tenuous that they do not necessarily reach consciousness; habit can bring them out as missing; they can also manifest only in a delayed manner, primarily through their sensory consequences; and finally, devices – such as a digital display – can bring them back into the realm of human perception. This paper first seeks to explore their integration into the lived ambiances, especially from the contem- porary geophysical and climatological expla- nations. Then it questions how architecture and urban design can, through new attention to these limits of the phenomenal, contribute to the readability of the world and collective response-abilities at the time of the entry of humanity into the Anthropocene.",fabrica,True,findable,0,0,0,0,0,2021-06-16T16:30:43.000Z,2021-06-16T16:30:44.000Z,jbru.aau,jbru,"Phenomenology,Environmental,Design,Gaia Hypothesis,Anthropocene","[{'lang': 'eng', 'subject': 'Phenomenology'}, {'lang': 'eng', 'subject': 'Environmental'}, {'lang': 'eng', 'subject': 'Design'}, {'lang': 'eng', 'subject': 'Gaia Hypothesis'}, {'lang': 'eng', 'subject': 'Anthropocene'}]",['6 pages'],['application/pdf']
-10.48537/hal-03220349,"The Ambiance of Rome Self- Managed Spaces as Dispositif de Sensibilisation, How Space Sensory Experience Can Lead to Approaching a Political Cause?",Reseau International Ambiances,2020,en,Text,Creative Commons Attribution Non Commercial No Derivatives 2.0 Generic,"As occupied and ‘self-managed political-sociocultural spaces’ in Rome are material urban spaces, we consider the æsthetic experience of their ‘ambiance’ as a central factor of engagement, helping to build attachment to the place and to develop the desire to ‘make community’. Therefore, we analyse ambiances as spatialized dispositifs de sensibilisation, with a special interest in the degree of influence of the synesthetic process of ambiance–e.g. architecture, nature, smells, symbols, lighting, humidity, temperature, arrangement, attendance, etc.–on the choice to commit. We are also interested in existing feedback loops, understood as resulting from the fact that the perception of an ‘ambiance’ can lead activists to want to change it over time if it induces topophobia.",mds,True,findable,0,0,0,0,0,2021-06-17T16:47:19.000Z,2021-06-17T16:47:20.000Z,jbru.aau,jbru,"Social Movements,Commons","[{'lang': 'eng', 'subject': 'Social Movements'}, {'lang': 'eng', 'subject': 'Commons'}]",['6 pages'],['application/pdf']
-10.18709/perscido.2016.11.ds08,Three months sample of Ontology-based student monitoring extracted from the national evaluation system of French Medical Schools,PerSciDo,2016,en,Dataset,Creative Commons Attribution Non Commercial No Derivatives 4.0 International,"This dataset contains a sample of student working session on SIDES platform from April to September 2015: 316803 actions of answer to tests on ECN items for 936 students. The dataset is modeled using RDF paradigm, based on the schema of OntoSides ontology.",api,True,findable,0,0,0,0,0,2017-11-03T01:12:24.000Z,2017-11-03T01:12:24.000Z,inist.persyval,vcob,"Computer Science,Medicine","[{'lang': 'en', 'subject': 'Computer Science'}, {'lang': 'en', 'subject': 'Medicine'}]",['500 MB'],"['ttl', 'pdf']"
-10.48537/hal-03220366,"Testimony of a Congolese Refugee, Presencing Atmospheres Through Listening",Reseau International Ambiances,2020,en,Text,Creative Commons Attribution Non Commercial No Derivatives 2.0 Generic,"The aim of the current article is to point out notes about a research method focused on investigating atmospheres based on sensitive listening of testimonies. Based on a research conducted in the migration and refuge field, it presents the case of a field experience where a Congolese refugee shared her story with students from a public school in Duque de Caxias, Rio de Janeiro. This case study enabled concluding that it is possible presencing a certain atmosphere by listen- ing to ones’ testimony. Moreover, the field experience showed the feasibility of seeing the emergence of other atmospheres that gradually intertwine and overlap in the space shared by different individuals.",mds,True,findable,0,0,0,0,0,2021-06-17T09:43:59.000Z,2021-06-17T09:44:00.000Z,jbru.aau,jbru,"Sensitive Listening,Testimony,Atmosphere,Refuge","[{'lang': 'eng', 'subject': 'Sensitive Listening'}, {'lang': 'eng', 'subject': 'Testimony'}, {'lang': 'eng', 'subject': 'Atmosphere'}, {'lang': 'eng', 'subject': 'Refuge'}]",['6 pages'],['application/pdf']
-10.48537/hal-03220352,"Normativity and Aesthetics, The Political Dimensions of Mobility Infrastructure",Reseau International Ambiances,2020,en,Text,Creative Commons Attribution Non Commercial No Derivatives 2.0 Generic,"This article is a reflection on two levels of the ‘political’ in which the æsthetical dimensions of mobility infrastructure play a key role. Informed by the empirical analysis of mobility infrastructure recent evolution in Brussels-Capital Region, it highlights on one hand how, at the level of the ‘infra-politics’ of mobility, the sensory accelerating and decelerating dispositifs constrain the poten- tial sensory-motor ways of being as much as regulatory and material ones. On the other hand, it reveals the potential of mobility infra- structure as sensitive environment to sustain, through the resonance between infrastructure, environment, vehicles and bodies, an increasing ambient sensibility that nourishes the political engagement of mobile actors toward a sustain- able future.",mds,True,findable,0,0,0,0,0,2021-06-17T10:17:39.000Z,2021-06-17T10:17:39.000Z,jbru.aau,jbru,"Mobility,Infrastructure,Brussels,Aesthetics","[{'lang': 'eng', 'subject': 'Mobility'}, {'lang': 'eng', 'subject': 'Infrastructure'}, {'lang': 'eng', 'subject': 'Brussels'}, {'lang': 'eng', 'subject': 'Aesthetics'}]",['6 pages'],['application/pdf']
-10.18709/perscido.2020.04.ds310,TMD-CAPTIMOVE,PerSciDo,2020,en,Dataset,,"This database called ""TMD-CAPTIMOVE"" provides transportation mode labelled data collected by 34 volunteers for a total time duration of around 48 hours. Considered transportation modes are: On-foot (Walking, Stairs, Elevators), Bike, Scooter, Bus, Tram. The number of labels is 11: Still, Walk, Upstairs, Downstairs, Elevator up, Elevator down, Bike, Electric scooter, kick scooter, Bus, Tram. Sensor data are: Acceleration (m/s²), angular rate (°/s), atmospheric pressure (hPa), heart rate (beat per minute (BPM)). The sampling frequency for all data is 32 Hertz.",fabrica,True,findable,0,0,0,0,0,2020-04-10T16:11:40.000Z,2020-04-10T16:11:40.000Z,inist.persyval,vcob,"Computer science,Engineering,Learning","[{'lang': 'en', 'subject': 'Computer science'}, {'lang': 'en', 'subject': 'Engineering'}, {'lang': 'en', 'subject': 'Learning'}]",['500 MB'],['csv']
-10.48537/hal-03220341,"MAG, Material Atmosphere Gravity",Reseau International Ambiances,2020,en,Text,Creative Commons Attribution Non Commercial No Derivatives 2.0 Generic,"This essay reflects on ephemeral artistic practices in the contemporary city and their critical capacities in the face of the alienation, insecurity and fear that we feel in the public space. We live in an atmosphere of anguish in today’s liquid society. Our relation- ship with the Media, mainly digital, with the public space and with knowledge, is mediated by an ‘economy of attention’, which reduces space by expanding time. How do architects and artists answer these questions? Based on artistic interventions in the urban space, we intend to verify how their approaches/installa- tions contribute to critical thinking in the face of contemporary environmental, political and social circumstances.",mds,True,findable,0,0,0,0,0,2021-06-17T16:47:38.000Z,2021-06-17T16:47:39.000Z,jbru.aau,jbru,"Urban,Art,Atmosphere,Installation,Architecture,FOS: Civil engineering,Ephemeral,Landscape","[{'lang': 'eng', 'subject': 'Urban'}, {'lang': 'eng', 'subject': 'Art'}, {'lang': 'eng', 'subject': 'Atmosphere'}, {'lang': 'eng', 'subject': 'Installation'}, {'lang': 'eng', 'subject': 'Architecture'}, {'subject': 'FOS: Civil engineering', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'lang': 'eng', 'subject': 'Ephemeral'}, {'lang': 'eng', 'subject': 'Landscape'}]",['6 pages'],['application/pdf']
-10.5281/zenodo.10119871,"IPBES nexus assessment - Chapter 5.1 – BIODIVERSITY, data management report 1 – Analysis to characterize actors involved in response options and actor network analysis",Zenodo,2023,en,Report,Creative Commons Attribution 4.0 International,The objective was to synthetize a description of biodiversity actors and their interactions within the context of response options. The data source is a database that will be described in a separate data management report for the final draft of the assessment.,api,True,findable,0,0,0,0,0,2023-11-14T08:12:32.000Z,2023-11-14T08:12:33.000Z,cern.zenodo,cern,,,,
-10.18709/perscido.2023.04.ds390,"Snow spectral albedo, specific surface area and optical grain diameter timeseries from 5-year summer observations at two windy coastal locations of Antarctica",PerSCiDO,2023,,Dataset,,"This dataset contains a in-situ measurements of the spectral albedo acquired during 5 summer seasons at two coastal locations close to the French research station of Dumont d'Urville, in East Antarctica. The measurements were acquired with the Multiband albedometer and corrected for stray light, cosine response of the collector and surface slope under the albedometer's footprint. The snow specific surface area and optical grain diameter were then retrieved from the spectral albedo. All details about the Multiband instrument, the measurement processing and uncertainties are provded in the accompanying paper. The dataset also contains the codes and the auxiliary data used to produce the figures of the article.",api,True,findable,0,0,0,0,0,2023-04-23T13:39:51.000Z,2023-04-23T13:39:51.000Z,inist.persyval,vcob,"glaciology,Environmental Science and Ecology","[{'subject': 'glaciology', 'subjectScheme': 'https://perscido.univ-grenoble-alpes.fr/glaciology'}, {'subject': 'Environmental Science and Ecology', 'subjectScheme': 'http://www.radar-projekt.org/display/Environmental_Science_and_Ecology'}]",['10 Mo'],
-10.18709/perscido.2017.10.ds129,"F-TRACT, ATLAS August 2017",PerSciDo,2017,en,Dataset,Creative Commons Attribution Non Commercial No Derivatives 4.0 International,"Dataset containing connectivity probability with associated p-values as well as features describing fibers biophysical properties, estimated from CCEP data recorded in 174 patients, in the MarsAtlas parcellation scheme. The CCEP features are: peak and onset latency (LatStart), amplitude, integral, duration and the velocity estimated from the onset latency and the Euclidean distance between the parcels.",api,True,findable,0,0,0,0,0,2017-11-03T01:29:18.000Z,2017-11-03T01:29:18.000Z,inist.persyval,vcob,"Computer Science,Medicine","[{'lang': 'en', 'subject': 'Computer Science'}, {'lang': 'en', 'subject': 'Medicine'}]",['66 MB'],['csv']
-10.48537/hal-03220348,The Tangible Presence of Human Labor in Architecture,Reseau International Ambiances,2020,en,Text,Creative Commons Attribution Non Commercial No Derivatives 2.0 Generic,"This essay aims to show that in many of the theories that fundament material culture and architectural experience, labor is implied in the constitution of material and, although seldom directly addressed, it is a determining dimension of materiality. From the Vitruvian and Renaissance treatises and Gottfried Semper to John Ruskin and the Art and Crafts Movement, the underlying presence of labor can be seen intertwined with materials whenever they are called into architectural discussion as sensorial arguments. Just like the physical qualities of materials, labor, skills and techniques are imprinted in the built environment and contribute to the creation of particular atmospheres.",mds,True,findable,0,0,0,0,0,2021-06-17T20:55:03.000Z,2021-06-17T20:55:05.000Z,jbru.aau,jbru,"Architectural Experience,Sensuous Perception,Material Culture,Labor","[{'lang': 'eng', 'subject': 'Architectural Experience'}, {'lang': 'eng', 'subject': 'Sensuous Perception'}, {'lang': 'eng', 'subject': 'Material Culture'}, {'lang': 'eng', 'subject': 'Labor'}]",['6 pages'],['application/pdf']
-10.18709/perscido.2021.04.ds331,"F-TRACT, ATLAS February 2021",PerSCiDo,2021,en,Dataset,,"Connectivity probability as well as features describing fibers biophysical properties, estimated from CCEP data recorded in 648 patients, in the AAL, AICHA, Brodmann, Freesurfer, Hammers, HCP-MMP1, Lausanne2008 (resolutions 33, 60, 125, 250, 500) and MarsAtlas parcellation schemes. The CCEP features are: peak and onset latency (LatStart), amplitude, duration, integral, velocity estimated from the onset latency and the fibers distance between the parcels and axonal conduction delays. Synaptic excitatory and inhibitory delays are also provided for each parcel. All features have been estimated separately for patients younger than 15 y.o. (group ""0-15"") and patients older than 15 y.o. (group ""15-100"")",fabrica,True,findable,0,0,0,0,0,2021-04-13T14:09:49.000Z,2021-04-13T14:09:49.000Z,inist.persyval,vcob,"Biology,Medicine","[{'lang': 'en', 'subject': 'Biology'}, {'lang': 'en', 'subject': 'Medicine'}]",['800 MB'],['tsv-mat']
-10.48537/hal-03220283,"From Parlour to Studio, The Sensory Experience in Contemporary Tattooing Spaces",Reseau International Ambiances,2020,en,Text,Creative Commons Attribution Non Commercial No Derivatives 2.0 Generic,"Tattoos have historically been marginalised and associated with deviancy. However, as they become mainstream, the experience of giving and receiving a tattoo changes, and so does the studio environment. This paper analyses design elements that set the contemporary tattoo studio apart from the traditional parlour, and how they shape the sensorial and atmospheric experiences of individuals. I present an ethnographic case study of a contemporary studio in Australia, suggesting that design interventions influence the way practitioners and clients engage with the space, with each other, and with tattoo culture. I use this case to build an argument for the importance of an atmospheric under- standing of this design practice, as it signals an effort to detach itself from a stigmatised subculture.",mds,True,findable,0,0,0,0,0,2021-06-17T09:44:15.000Z,2021-06-17T09:44:15.000Z,jbru.aau,jbru,"Tattoo Culture,Sensory Ethnography,Aesthetic Experience","[{'lang': 'eng', 'subject': 'Tattoo Culture'}, {'lang': 'eng', 'subject': 'Sensory Ethnography'}, {'lang': 'eng', 'subject': 'Aesthetic Experience'}]",['6 pages'],['application/pdf']
-10.48537/hal-03220353,"Investigating the “Climate Subjectivation†in Urban Furnaces, Sensitive Experiences of Climate Change in French Cities and Reconsidered Ecological Commitment",Reseau International Ambiances,2020,en,Text,Creative Commons Attribution Non Commercial No Derivatives 2.0 Generic,"ince they concentrate a growing majority of the world population, cities largely contribute to climate change... as they suffer from it. The singular experience of living with climate change in cities is barely considered in urban environmental policies. They are usually in favour of expertise solutions. The survey Living in the urban furnaces investigates the sensitive experience of the inhabitants in five cities in the South of France. By using the term “climate subjectivation,†the authors seek to refer to the process describing how climate change, by affecting sensitive, ordinary life may induce reconsidered political and ecological relation to the inhabited milieu of life. Simul- taneously, other ways of being ecologically committed emerge in this process.",mds,True,findable,0,0,0,0,0,2021-06-17T10:17:29.000Z,2021-06-17T10:17:30.000Z,jbru.aau,jbru,"Metropolises,Climate Change,Subjectivation,Ecological Commitment","[{'lang': 'eng', 'subject': 'Metropolises'}, {'lang': 'eng', 'subject': 'Climate Change'}, {'lang': 'eng', 'subject': 'Subjectivation'}, {'lang': 'eng', 'subject': 'Ecological Commitment'}]",['6 pages'],['application/pdf']
-10.48537/hal-03220269,"The Urban Spontaneous Beach, an Idle Ambiance in the Urban Space",Reseau International Ambiances,2020,en,Text,Creative Commons Attribution Non Commercial No Derivatives 2.0 Generic,"Often located on the water’s edge, “spontaneous urban beaches†are urban spaces where urbanites adopt beach behaviors without the space having been designed for that purpose. Such public spaces redefine the ordinary urban life and allows new sensitive experiences and new forms of body presence in the public urban space. They highlight the emergence of a new urbanity made of idleness, immobility and exposure. The aim of our research is to identify the spatio-tem- poral, climatic, sensitive, cultural, social and political conditions for the appearance of a beach situation that modifies the ambiance and the experience of the contemporary urban environment.",mds,True,findable,0,0,0,0,0,2021-06-17T09:44:01.000Z,2021-06-17T09:44:02.000Z,jbru.aau,jbru,"Urban Beach,Ambiance,Idleness,Public Space,Beach Situation","[{'lang': 'eng', 'subject': 'Urban Beach'}, {'lang': 'eng', 'subject': 'Ambiance'}, {'lang': 'eng', 'subject': 'Idleness'}, {'lang': 'eng', 'subject': 'Public Space'}, {'lang': 'eng', 'subject': 'Beach Situation'}]",['6 pages'],['application/pdf']
-10.48537/hal-03220372,The Great Soccer Stadium: Ruptures and (Re) significations of (New) Maracanã,Reseau International Ambiances,2020,en,Text,Creative Commons Attribution Non Commercial No Derivatives 2.0 Generic,"The aim of the current study is to analyze meanings and resignifications of soccer stadiums based on the concept of ambiance, by taking into consideration physical changes applied to them and affective relationships set with them by fans. The study has focused on Maracanã stadium (Rio de Janeiro, Brazil) after the 2014 World Cup renovation. The herein adopted analysis methodology consisted in assessing fans’ narratives about the stadium and in listing metaphorical expressions that emphasize the (re)signification process of the new stadium. This (re)signification operates in the atmospheric reconstructions of these “temples of the ball†and in ruptures inherent to any transformation process.",mds,True,findable,0,0,0,0,0,2021-06-17T10:17:52.000Z,2021-06-17T10:17:52.000Z,jbru.aau,jbru,"Ambiance,Rupture,Resignification,Maracanã","[{'lang': 'eng', 'subject': 'Ambiance'}, {'lang': 'eng', 'subject': 'Rupture'}, {'lang': 'eng', 'subject': 'Resignification'}, {'lang': 'eng', 'subject': 'Maracanã'}]",['6 pages'],['application/pdf']
-10.18709/perscido.2023.04.ds391,Snow status (wet/dry) in Antarctica from AMSR-E and AMSR2 passive microwave radiometers 2002 – 2023,PerSCiDO,2023,,Dataset,,"The dataset provides daily binary status (wet/dry) of the snowpack for each pixel at 12.5 km resolution in Antarctica over more than 20 years. This status is retrieved from passive microwave observations at 19 GHz and horizontal polarisation, using an algorithm developed by Torinesi et al. 2013 and Picard and Fily, 2006. The dataset merge the two timeseries from AMSR-E and AMSR2 sensors. The effective resolution of about ~25 km. There is a gap in 2011/2012 between AMSR-E and AMSR2. The ascending (afternoon) and descending (midnight) passes are provided separately.",api,True,findable,0,0,0,1,0,2023-04-26T19:44:58.000Z,2023-04-26T19:44:58.000Z,inist.persyval,vcob,"glaciology,Environmental Science and Ecology","[{'subject': 'glaciology', 'subjectScheme': 'https://perscido.univ-grenoble-alpes.fr/glaciology'}, {'subject': 'Environmental Science and Ecology', 'subjectScheme': 'http://www.radar-projekt.org/display/Environmental_Science_and_Ecology'}]",['100 Mo'],['netcdf']
-10.48537/hal-03220320,"Ambiance Is Key in Any Innovation Strategy, A Case Study on Urban Design, Sensitive Ecology and Political Ecology",Reseau International Ambiances,2020,en,Text,Creative Commons Attribution Non Commercial No Derivatives 2.0 Generic,"In the aftermath of the 2008 financial crisis, innovation became a key element to promote economic growth. Cities started playing a significant role in promoting it quickly becoming torn between authentic urban regeneration processes and gentrification. We argue that ambience, and the concept of atmosphere, is a highly-relevant strategic element able to trigger city development that avoids gentrification. We take the inner-city parishes of Marvila and Beato (Lisbon, Portugal) as a case study currently undergoing significant changes due to strong investment after decades of neglect.",mds,True,findable,0,0,0,0,0,2021-06-17T16:48:50.000Z,2021-06-17T16:48:51.000Z,jbru.aau,jbru,"Economics,Spatial Justice,Sustainable Development,Urban Regeneration","[{'lang': 'eng', 'subject': 'Economics'}, {'lang': 'eng', 'subject': 'Spatial Justice'}, {'lang': 'eng', 'subject': 'Sustainable Development'}, {'lang': 'eng', 'subject': 'Urban Regeneration'}]",['6 pages'],['application/pdf']
-10.48537/hal-03220313,"Fragile entities at work in ambiances, Understanding ambiances from the cultures and practices of the invisible",Reseau International Ambiances,2020,en,Text,Creative Commons Attribution Non Commercial No Derivatives 2.0 Generic,"Through her investigation of fragile entities, philosopher of science Vinciane Despret sheds new light on our relationship to the deceased. Through a relation of obligations, the dead put the living to work. The living take care of their deceased by choosing to respond to the call. Practices of memory modify, densify and colour our under-standing of our living environment and create specific ambiances. Focused on the singular link of a Georgian family with their deceased, Nino Kirtadze’s film, Tell my friends that I’m dead, enlightens the full scope of these fragile entities at work on the existing. Through this documentary, we identify the invisible chains that generate ambiances above ground and outside time. Furthermore, transgenerational psychoanalyst Christine Ulivucci conducted critical analysis showing that ambiance memories, sensitive impressions are rooted in our personal history. The encounter with familiar places or objects activates reminiscence and produces what we call: fragile ambiances.",mds,True,findable,0,0,0,0,0,2021-06-17T09:44:22.000Z,2021-06-17T09:44:22.000Z,jbru.aau,jbru,"Fragile Entities,Memory,Dead,House,Cult of the Dead,Transgenerational Psychoanalysis,Fragile Ambiances","[{'lang': 'eng', 'subject': 'Fragile Entities'}, {'lang': 'eng', 'subject': 'Memory'}, {'lang': 'eng', 'subject': 'Dead'}, {'lang': 'eng', 'subject': 'House'}, {'lang': 'eng', 'subject': 'Cult of the Dead'}, {'lang': 'eng', 'subject': 'Transgenerational Psychoanalysis'}, {'lang': 'eng', 'subject': 'Fragile Ambiances'}]",['6 pages'],['application/pdf']
-10.18709/perscido.2022.09.ds375,"Gupta, A., Reverdy, A., Cohard, J.-M., Voisin, D., Hector, B., Descloitres, M., Vandervaere, J.-P., Coulaud, C., Biron, R., Liger, L., Valay, J.-G., and Maxwell, R. (2022) Data from: Impact of distributed meteorological forcing on snow dynamic and induced water fluxes over a mid-elevation alpine micro-scale catchment.",PerSCiDO,2022,,Dataset,,"The sorftware and data presented here are the part of the study:
-Gupta, A., Reverdy, A., Cohard, J.-M., Voisin, D., Hector, B., Descloitres, M., Vandervaere, J.-P., Coulaud, C., Biron, R., Liger, L., Valay, J.-G., and Maxwell, R.: Impact of distributed meteorological forcing on snow dynamic and induced water fluxes over a mid-elevation alpine micro-scale catchment, Hydrol. Earth Syst. Sci. Discuss. [preprint], https://doi.org/10.5194/hess-2021-639, in review, 2022.",api,True,findable,0,0,0,0,0,2022-09-05T07:59:57.000Z,2022-09-05T07:59:57.000Z,inist.persyval,vcob,"glaciology,Geology,FOS: Earth and related environmental sciences,Environmental Science and Ecology","[{'subject': 'glaciology', 'subjectScheme': 'https://perscido.univ-grenoble-alpes.fr/glaciology'}, {'subject': 'Geology', 'subjectScheme': 'http://www.radar-projekt.org/display/Geological_Sciences'}, {'subject': 'FOS: Earth and related environmental sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Environmental Science and Ecology', 'subjectScheme': 'http://www.radar-projekt.org/display/Environmental_Science_and_Ecology'}]",['10 Mo'],
-10.18709/perscido.2023.05.ds394,Snow status (wet/dry) in Antarctica at 4.45 km resolution from the satellite microwave scatterometer ASCAT (2007 -- 2021),PerSCiDO,2023,,Dataset,,"The dataset provides daily binary status (wet/dry) of the snowpack for each pixel at 4.45 km resolution in Antarctica over 14 years. This status is retrieved from radar backscatter measurements acquired by ASCAT, using a threshold of -3dB below the winter average backscatter level. The resolution of individual ASCAT measurements is coarse (tens of km), but is enhanced using the SIR algorithm by exploiting overlaps between all the overpasses over two or three few days. The product is gridded at 4.45 km, but the effective spatial resolution is likely a bit coarser, between this grid resolution and the measurement resolution (tens of km). The effective temporal resolution is a few days even though the product is provided daily.",api,True,findable,0,0,0,0,0,2023-05-26T12:09:01.000Z,2023-05-26T12:09:01.000Z,inist.persyval,vcob,glaciology,"[{'subject': 'glaciology', 'subjectScheme': 'https://perscido.univ-grenoble-alpes.fr/glaciology'}]",['100 Mo'],['netcdf']
-10.18709/perscido.2020.03.ds294,"F-TRACT, ATLAS October 2019",PerSciDo,2020,en,Dataset,,"Connectivity probability as well as features describing fibers biophysical properties, estimated from CCEP data recorded in 321 patients, in the AAL, AICHA, Brodmann, Freesurfer, Hammers, HCP-MMP1, Lausanne2008 (resolutions 33, 60, 125, 250, 500) and MarsAtlas parcellation schemes. The CCEP features are: peak and onset latency (LatStart), amplitude, duration, integral, velocity estimated from the onset latency and the fibers distance between the parcels and axonal conduction delays. Synaptic excitatory and inhibitory delays are also provided for each parcel. All features have been estimated separately for patients younger than 15 y.o. (group ""0-15"") and patients older than 15 y.o. (group ""15-100"").",fabrica,True,findable,0,0,0,5,0,2020-03-12T12:02:33.000Z,2020-03-12T12:02:33.000Z,inist.persyval,vcob,"Biology, Medicine","[{'lang': 'en', 'subject': 'Biology, Medicine'}]",['500 MB'],['tsv- mat']
-10.5281/zenodo.10165853,Thickness map of the Patagonian Icefields,Zenodo,2023,en,Dataset,Creative Commons Attribution 4.0 International,"Ice thickness field for the Patagonian icefields relying on mass-conservation approach, which assimilates both glacier retreat data as well as an abundant record of direct thickness measurements. The thickness map has a time stamp of 2000. This map is provided together with error estimates and the basal topography beneath the icefields based on c-SRTM (v2.1) (Farr, T. et al. The Shuttle Radar Topography Mission. Reviews of Geophysics 45 (2007), http://dx.doi.org/10.1029/2005RG000183.)",api,True,findable,0,0,0,0,0,2023-11-21T10:31:13.000Z,2023-11-21T10:31:14.000Z,cern.zenodo,cern,"Patagonia,glacier,icefield,thickness","[{'subject': 'Patagonia'}, {'subject': 'glacier'}, {'subject': 'icefield'}, {'subject': 'thickness'}]",,
-10.48537/hal-03220242,"Atmosphere, Anthropocene, Urbanity, Sensitivity, Session 1 – Introduction",Reseau International Ambiances,2020,en,Text,Creative Commons Attribution Non Commercial No Derivatives 2.0 Generic,,fabrica,True,findable,0,0,0,0,0,2021-06-16T15:51:12.000Z,2021-06-16T15:51:13.000Z,jbru.aau,jbru,,,['3 pages'],['application/pdf']
-10.48537/hal-03220344,"Sensory Experience, Environmental Experience and Political Engagement, Session 13 – Introduction",Reseau International Ambiances,2020,en,Text,Creative Commons Attribution Non Commercial No Derivatives 2.0 Generic,,mds,True,findable,0,0,0,0,0,2021-06-17T10:16:58.000Z,2021-06-17T10:16:59.000Z,jbru.aau,jbru,,,['3 pages'],['application/pdf']
-10.48537/hal-03220357,"From Attention to Spatial and Informational Mobility, Towards a Digital Common to Design a Dynamic City, Outcomes of Mobiance 4 workshop",Reseau International Ambiances,2020,en,Text,Creative Commons Attribution Non Commercial No Derivatives 2.0 Generic,"The 4th edition of Mobiance workshop, held in Grenoble in October 2019, brought together 18 international students (engineers, architects, marketing experts, and urban planners) from 6 different countries. The workshop goal was to focus on spatial and informational mobility without any technological limit, starting from a real transportation hub in Grenoble, namely Chavant. Their proposals show a city automatically adapting to the needs of citizens and continu- ously collecting data, even the most intimate one. They proposed omniscient digital universe that fluidly links the real and the digital spaces. Keeping in mind the limits and the drawback of such concepts, the future shared city might be a city made as a common.",mds,True,findable,0,0,0,0,0,2021-06-17T10:17:57.000Z,2021-06-17T10:17:58.000Z,jbru.aau,jbru,"Ambiance,Urban design,Mobility,Digital Common,Attention","[{'lang': 'eng', 'subject': 'Ambiance'}, {'lang': 'eng', 'subject': 'Urban design'}, {'lang': 'eng', 'subject': 'Mobility'}, {'lang': 'eng', 'subject': 'Digital Common'}, {'lang': 'eng', 'subject': 'Attention'}]",['6 pages'],['application/pdf']
-10.48537/hal-03220256,"Dark Design, Reimagining Nocturnal Ambiances",Reseau International Ambiances,2020,en,Text,Creative Commons Attribution Non Commercial No Derivatives 2.0 Generic,"The implementation of energy- efficient artificial lighting has been accom- panied by a compelling narrative of savings in economic terms. However, this obscures significant costs to the environment, humans and non-humans. It has also led to higher levels of brightness at night. Integral to this process is the loss of nocturnal atmospheres and ambiances as access to darkness becomes further limited. We need new ways to address this ongoing extinction of experience of the nocturnal commons. Design can provide a valuable role in its ability to explore alter- natives, to speculate on new sensitizations that enable nocturnal urban ambiances to be reimagined. This paper proposes an emerging field of ‘Dark Design’ as advocacy for change of existing beliefs concerning artificial lighting and darkness.",mds,True,findable,0,0,0,0,0,2021-06-17T16:47:51.000Z,2021-06-17T16:47:52.000Z,jbru.aau,jbru,"Darkness,Design,Nocturnals Commons,Ambiances,Humans and Non-Humans","[{'lang': 'eng', 'subject': 'Darkness'}, {'lang': 'eng', 'subject': 'Design'}, {'lang': 'eng', 'subject': 'Nocturnals Commons'}, {'lang': 'eng', 'subject': 'Ambiances'}, {'lang': 'eng', 'subject': 'Humans and Non-Humans'}]",['6 pages'],['application/pdf']
-10.48537/hal-03220289,Choreographing Aesthetic Atmospheres,Reseau International Ambiances,2020,en,Text,Creative Commons Attribution Non Commercial No Derivatives 2.0 Generic,"My design and research practice explore our relationship to air and how design- ing with atmospheric phenomena can consti- tute a new design practice: an Aesthetics of Air. Whilst Sumartojo & Pink (2018) contend that “atmospheres themselves cannot be designed,†I put forth that we can design or ‘choreograph’ the conditions from which atmospheres arise. I am interested in our experience of air in lived space and how atmospheric encounters can be shaped by choreographing the complex, transient and dynamic matrix of breezes, scents, moisture, radiant light, dappled shade, textures and sounds. In this paper I will expand on these ideas and my practice in designing ‘with’ phenomena through describing the process of developing the atmospheric installation ‘Outside_In’.",mds,True,findable,0,0,0,0,0,2021-06-17T20:45:59.000Z,2021-06-17T20:46:00.000Z,jbru.aau,jbru,"Air,Aesthetics,Atmosphere,Phenomena,Design,Ambiance,Microclimates","[{'lang': 'eng', 'subject': 'Air'}, {'lang': 'eng', 'subject': 'Aesthetics'}, {'lang': 'eng', 'subject': 'Atmosphere'}, {'lang': 'eng', 'subject': 'Phenomena'}, {'lang': 'eng', 'subject': 'Design'}, {'lang': 'eng', 'subject': 'Ambiance'}, {'lang': 'eng', 'subject': 'Microclimates'}]",['6 pages'],['application/pdf']
-10.5281/zenodo.10276252,3D roughness computation from XCT data - Data and Python & ImageJ implementations,Zenodo,2023,en,ComputationalNotebook,CeCILL Free Software License Agreement v2.1,"Data provided in supplement of the research article ""A methodology for the 3D characterization of surfaces using X-ray computed tomography: application to additively manufactured parts"", F.Steinhilber, J.Lachambre, D.Cœurjolly, J.Y.Buffière, G.Martin, R.Dendievel.
-Â
-It contains 3 folders:
-- ""data"": a dataset used to present the roughness computation methodology in the article (= the XCT scan of a 2 mm cylinder fabricated by Electron Powder Bed Fusion, with a voxel size of 5 µm). The results of the roughness computation are also provided in this folder.
-- ""Python"": the Python implementation of the roughness computation methodology presented in the article, as well as some other calculations, such as the computation of the triangle threshold for bimodal histograms introduced in the article.
-- ""ImageJ"": the ImageJ implementation (simple macro) of the roughness computation methodology presented in the article, as well as some other calculations, such as the computation of the triangle threshold for bimodal histograms introduced in the article.
-Â
-Each folder contains a README file that further details the different files provided.",api,True,findable,0,0,0,0,0,2023-12-06T09:53:00.000Z,2023-12-06T09:53:00.000Z,cern.zenodo,cern,"Surface roughness,X-ray Computed Tomography,Python,ImageJ,3D","[{'subject': 'Surface roughness'}, {'subject': 'X-ray Computed Tomography'}, {'subject': 'Python'}, {'subject': 'ImageJ'}, {'subject': '3D'}]",,
-10.48537/hal-03220347,How Surfing Creates an Ecosystem? An Investigation about Surfers in Madagascar,Reseau International Ambiances,2020,en,Text,Creative Commons Attribution Non Commercial No Derivatives 2.0 Generic,"As a part of my research, I am investigating what surfing means to individuals who define themselves as surfers. The qualitative survey I led a month in Madagascar allowed to grasp the complexity of a surfer’s identity construction and the ways individuals appropriate a globalised practice. Cultural geography and maritime anthropology are the research fields I focused on to apprehend the interactions between the respondents and their environments, and also with themselves. Indeed, surfing does not only consist in a physical practice in waves using a board. It is rather a complex whole including an intellec- tual and physical work on oneself, leading to the development of alloæsthesia, which allows to learn how to feel movements produced by oneself but also by all kinds of surroundings.",mds,True,findable,0,0,0,0,0,2021-06-17T09:44:11.000Z,2021-06-17T09:44:12.000Z,jbru.aau,jbru,"Surfing,Madagascar,Individual,Ocean,Identity,Movement,Feel,Experience,Body","[{'lang': 'eng', 'subject': 'Surfing'}, {'lang': 'eng', 'subject': 'Madagascar'}, {'lang': 'eng', 'subject': 'Individual'}, {'lang': 'eng', 'subject': 'Ocean'}, {'lang': 'eng', 'subject': 'Identity'}, {'lang': 'eng', 'subject': 'Movement'}, {'lang': 'eng', 'subject': 'Feel'}, {'lang': 'eng', 'subject': 'Experience'}, {'lang': 'eng', 'subject': 'Body'}]",['6 pages'],['application/pdf']
-10.18709/perscido.2017.10.ds144,DACT: Dataset of Annotated Car Trajectories,PerSciDo,2017,en,Dataset,Creative Commons Attribution 4.0 International,DACT contains two subsets of annotated car trajectories data. The dataset contains 50 trajectories which cover about 13 hours of driving data.,api,True,findable,0,0,1,0,0,2017-11-03T01:35:47.000Z,2017-11-03T01:35:47.000Z,inist.persyval,vcob,"Computer Science,Geography","[{'lang': 'en', 'subject': 'Computer Science'}, {'lang': 'en', 'subject': 'Geography'}]",['10 MB'],
-10.6084/m9.figshare.c.6950873,Effects of a physical activity and endometriosis-based education program delivered by videoconference on endometriosis symptoms: the CRESCENDO program (inCRease physical Exercise and Sport to Combat ENDOmetriosis) protocol study,figshare,2023,,Collection,Creative Commons Attribution 4.0 International,"Abstract Background Endometriosis is a chronic disease characterized by growth of endometrial tissue outside the uterine cavity which could affect 200 million women (The term “woman†is used for convenience. Individuals gendered as man or as nonbinary can also suffer from this disease) worldwide. One of the most common symptoms of endometriosis is pelvic chronic pain associated with fatigue. This pain can cause psychological distress and interpersonal difficulties. As for several chronic diseases, adapted physical activity could help to manage the physical and psychological symptoms. The present study will investigate the effects of a videoconference-based adapted physical activity combined with endometriosis-based education program on quality of life, pain, fatigue, and other psychological symptoms and on physical activity. Methods This multicentric randomized-controlled trial will propose to 200 patients with endometriosis to be part of a trial which includes a 6-month program with 45 min to more than 120 min a week of adapted physical activity and/or 12 sessions of endometriosis-based education program. Effects of the program will be compared to a control group in which patients will be placed on a waiting list. All participants will be followed up 3 and 6 months after the intervention. None of the participants will be blind to the allocated trial arm. The primary outcome measure will be quality of life. Secondary outcomes will include endometriosis-related perceived pain, fatigue, physical activity, and also self-image, stereotypes, motivational variables, perceived support, kinesiophobia, basic psychological need related to physical activity, and physical activity barriers. General linear models and multilevel models will be performed. Predictor, moderator, and mediator variables will be investigated. Discussion This study is one of the first trials to test the effects of a combined adapted physical activity and education program for improving endometriosis symptoms and physical activity. The results will help to improve care for patients with endometriosis. Trial registration ClinicalTrials.gov, NCT05831735 . Date of registration: April 25, 2023",mds,True,findable,0,0,0,0,0,2023-11-28T04:40:38.000Z,2023-11-28T04:40:38.000Z,figshare.ars,otjm,"Medicine,Genetics,FOS: Biological sciences,Physiology,Science Policy,Sociology,FOS: Sociology,Biological Sciences not elsewhere classified","[{'subject': 'Medicine'}, {'subject': 'Genetics'}, {'subject': 'FOS: Biological sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Physiology'}, {'subject': 'Science Policy'}, {'subject': 'Sociology'}, {'subject': 'FOS: Sociology', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Biological Sciences not elsewhere classified'}]",,
-10.18709/perscido.2017.12.ds166,"F-TRACT, ATLAS Decembre 2017",PerSciDo,2017,en,Dataset,Creative Commons Attribution Non Commercial No Derivatives 4.0 International,"Connectivity probability with associated p-values as well as features describing fibers biophysical properties, estimated from CCEP data recorded in 213 patients, in the MarsAtlas, Brodmann, AAL and MaxProbMap parcellation schemes. The CCEP features are: peak and onset latency (LatStart), amplitude, integral, duration and the velocity estimated from the onset latency and the fibers distance between the parcels. Features maps : Images representing the connectivity probablility and response features for all the regions in the MarsAtlas parcellation.",api,True,findable,0,0,0,0,0,2018-06-12T12:36:39.000Z,2018-06-12T12:36:39.000Z,inist.persyval,vcob,"Computer Science,Medicine","[{'lang': 'en', 'subject': 'Computer Science'}, {'lang': 'en', 'subject': 'Medicine'}]",['500 MB'],['csv']
-10.18709/perscido.2022.06.ds370,Redundant Apodized Pupils (RAP) 2,PerSCiDo,2022,en,Dataset,,"The RAP concept can be applied on coronagraphic instruments subject to island effects (low-wind effect and post-adaptive optics petaling, ie. piston, tip, and tilt on the petals defined by the spider). It aims to reduce the constraints of petaling-level errors by 1) optimizing the apodization of the elementary petal and 2) reproducing this apodization on all petals, mimicking the mirror fragmentation. In Leboulleux et al. 2022 (A), the RAP concept developed in the case of primary mirror segmentation-induced errors and applied on a Giant Magellan telescope-like pupil combined with an Apodized Pupil Lyot Coronagraph (APLC) on one hand and with an Apodizing Phase Plate (APP) coronagraph on the other hand. In Leboulleux et al. 2022 (accepted in A, available in the folder), the RAP concept is extended to petal-level errors and applied on the Extremely Large Telescope pupil, combined with both APP and Shaped Pupil (SP) coronagraphs. Acknowledgments This project is funded by the European Research Council (ERC) under the European Union's Horizon 2020 research and innovation programme (grant agreement n°866001).",fabrica,True,findable,0,0,0,0,0,2022-06-27T07:17:25.000Z,2022-06-27T07:17:25.000Z,inist.persyval,vcob,Astrophysics and astronomy,"[{'lang': 'en', 'subject': 'Astrophysics and astronomy'}]",['10Mo'],
-10.48537/hal-03220309,"In-Between Art, Architecture and Landscape, Experiments on Poetic Ways of Research-Creation in Rio de Janeiro",Reseau International Ambiances,2020,en,Text,Creative Commons Attribution Non Commercial No Derivatives 2.0 Generic,"The research “In Between Art, Architecture and Landscape†investigates contemporary practices in the expanded field, especially those of a site-specific character. Our group has practiced some gestures of research-creation, inspired by situationist and contemporary artistic tactics in flux – “deÌrives,†“eÌveÌnements,†poetic images, montages and play-elements – in the suburban neighborhood of Encantado, in Rio de Janeiro, with the aim of investigating its sense of history and atmosphere and raising questions about its possible reinvention. The article presents our artistic actions as the collective “Re-Encantado,†with the engagement of local residents: “Atlas of Encantado,†a ‘montage’ of past and present images, and “Where is Encantado River?†– eÌveÌnements and videos.",mds,True,findable,0,0,0,0,0,2021-06-17T16:48:23.000Z,2021-06-17T16:48:24.000Z,jbru.aau,jbru,"Memory,Play-Elements,Suburb","[{'lang': 'eng', 'subject': 'Memory'}, {'lang': 'eng', 'subject': 'Play-Elements'}, {'lang': 'eng', 'subject': 'Suburb'}]",['6 pages'],['application/pdf']
-10.5281/zenodo.10205605,TEAL WCA: climate data platform for planning solar photovoltaic and wind energy resources in West and Central Africa,Zenodo,2023,,Text,Creative Commons Attribution 4.0 International,"This data platform entitled 'TEAL WCA: climate data platform for planning solar photovoltaic and wind energy resources in West and Central Africa' is a presentation of climate and energy resources data for two Sub-Saharan African regions. Climate change is now a fact and African countries are more vulnerable. To better prepare for mitigation and adaptation, projection information is needed. The challenge of climate model data output is that they are available at the global level and are associated with some biases. This makes studies at the country or sub-county level difficult especially impact study. This study aims to (i) downscale, (ii) bias-adjust, (iii) aggregate at country and sub-country levels, and (iv) estimate the wind power and solar power potential. Moreover, a database platform is built to make the prepared climate data and estimated energy potential dataset freely available for researchers, universities, and decision-makers in West and Central African countries. This manuscript presents the performance of the approach and the distribution of climate and energy variables. ",api,True,findable,0,0,0,0,0,2023-11-25T10:37:08.000Z,2023-11-25T10:37:08.000Z,cern.zenodo,cern,,,,
-10.18709/perscido.2021.12.ds363,Redundant Apodized Pupils (RAP),PerSCiDo,2021,en,Dataset,,"The RAP concept can be applied on coronagraphic instruments combined with segmented primary mirror telescope. It aims to reduce the constraints of segment phasing (piston, tip, and tilt) by 1) optimizing the apodization of the elementary segment and 2) reproducing this apodization on all segments, mimicking the mirror segmentation. In Leboulleux et al. [submitted in 2021], the RAP concept is applied on a Giant Magellan telescope- like pupil combined with an Apodized Pupil Lyot Coronagraph (APLC) on one hand and with an Apodizing Phase Plate (APP) coronagraph on the other hand. This folder provides all the files to reproduce the coronagraphs of the paper and test their robustness.",fabrica,True,findable,0,0,0,0,0,2021-12-13T11:07:37.000Z,2021-12-13T11:07:38.000Z,inist.persyval,vcob,Astrophysics and astronomy,"[{'lang': 'en', 'subject': 'Astrophysics and astronomy'}]",['10 mo'],['.fits']
-10.57757/iugg23-2595,A broader look at licensing and copyright issues for global seismological data and products from a data center perspective,GFZ German Research Centre for Geosciences,2023,en,ConferencePaper,Creative Commons Attribution 4.0 International,"<!--!introduction!--><b></b><p>Sharing data - arrival time readings, earthquake parameters, waveforms and further derived products - has for many decades been key to the scientific advancement of seismology and our understanding of the Earth. The establishment of data centers, from institutional to global, that receive, archive, curate and make accessible large volumes of seismological data, following community standards and best practices, was a logical consequence. IASPEI, with its commissions, evolved as a de-facto standards body for seismological data, governed by the community of data providers and users alike.</p><p>However, conditions of use for these shared data did not receive much attention by data providers, distributors, and groups working on the definition of standards of data and services. If mentioned at all, generic statements on allowed use were provided somewhere on websites that offered access, often declaring ‘only for scientific/academic purposes’ or ‘not for commercial purposes’. Driven by the desire or requirement to improve FAIRness of our data, better understand data usage and adapt to technological changes, and support open science, putting proper licenses on data and metadata has now become a significant topic.</p><p>In this presentation we look at current practices and evolving ideas regarding application of licenses to the holdings of seismological data centers, covering waveforms, earthquake parameters, and further derived products, also including views from other geoscience domains. The relation to (legal) copyright and intellectual property issues, local/national licensing regulations that may hinder a globally uniform approach, and downstream implications for citation, attribution and general re-use of data will also be addressed.</p>",fabricaForm,True,findable,0,0,0,0,0,2023-06-12T10:12:32.000Z,2023-06-16T10:01:50.000Z,gfz.iugg2023,gfz,,,,
-10.48537/hal-03220255,"Design Practice as Fieldwork, Describing the Nocturnal Biome Through Light and Sound",Reseau International Ambiances,2020,en,Text,Creative Commons Attribution Non Commercial No Derivatives 2.0 Generic,"Human and non-human behaviours are regulated by cycles of light and dark, while many such behaviours can be detected through sound. This article asks how we might use recordings of light and sound to make the nocturnal urban environment meaningfully legible as a more-than-human biome. It reports on several prototypal methods that bring together art/design practices and fieldwork techniques. The aim of this ongoing work is to raise awareness of the night as an ecology, communicate the multiple temporalities characteristic of a healthy biome and provide tools that can inform responsible urban design interventions that improve the quality of the night from a more-than-human perspective.",fabrica,True,findable,0,0,0,0,0,2021-06-16T16:54:57.000Z,2021-06-16T16:54:58.000Z,jbru.aau,jbru,"More-Than-Human,Ecology,FOS: Biological sciences,Creative Fieldwork,Urban Design,Night Studies","[{'lang': 'eng', 'subject': 'More-Than-Human'}, {'lang': 'eng', 'subject': 'Ecology'}, {'subject': 'FOS: Biological sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'lang': 'eng', 'subject': 'Creative Fieldwork'}, {'lang': 'eng', 'subject': 'Urban Design'}, {'lang': 'eng', 'subject': 'Night Studies'}]",['6 pages'],['application/pdf']
-10.48537/hal-03220343,Ambiences and Safety? Methods for Security Experience Design,Reseau International Ambiances,2020,en,Text,Creative Commons Attribution Non Commercial No Derivatives 2.0 Generic,"TAMK is taking part to Smart Urban Security and Event Resilience Project (SURE) funded by the EU’s Urban Innovative Actions initiative since 2019 and ending 2022. Our objective in SURE is to get data how the safety sense of ambiance affects to act and participate in ordinary social life? Due COVID-19 the method changed from go-along with the special groups to different places and occasions around the city center to virtual walks using 360-technologies, simulating and dramatizing the experience. The aim remains to develop and update the situation awareness of safety, for the improvement of urban plan- ning and development of security by design concepts. In my paper, I will study the methods for safety experience design.",mds,True,findable,0,0,0,0,0,2021-06-17T09:44:31.000Z,2021-06-17T09:44:31.000Z,jbru.aau,jbru,"Ambience,Security,Safety,Urban Planning,Service Design","[{'lang': 'eng', 'subject': 'Ambience'}, {'lang': 'eng', 'subject': 'Security'}, {'lang': 'eng', 'subject': 'Safety'}, {'lang': 'eng', 'subject': 'Urban Planning'}, {'lang': 'eng', 'subject': 'Service Design'}]",['6 pages'],['application/pdf']
-10.48537/hal-03220370,"Sensitive Spaces and Urban Practices, Session 12 – Introduction",Reseau International Ambiances,2020,en,Text,Creative Commons Attribution Non Commercial No Derivatives 2.0 Generic,,mds,True,findable,0,0,0,0,0,2021-06-17T16:47:05.000Z,2021-06-17T16:47:06.000Z,jbru.aau,jbru,,,['2 pages'],['application/pdf']
-10.48537/hal-03220316,"Anxious Atmospheres of the Apologetic State, The Reconciliation Narrative and Contemporary Settler Colonialism",Reseau International Ambiances,2020,en,Text,Creative Commons Attribution Non Commercial No Derivatives 2.0 Generic,"This article explores how atmos- pheres in Canada are informed by a colonial attitude, logic of replacement, and hegemonic narratives of relationships to place to suggest that the inconsistencies between the politics of apology and the colonial response when the spatial order is challenged generates settler anxiety. This provocation is offered by consi- dering the ongoing reconciliation rhetoric and decolonial resistance. The former illustrates the stage-value of the æsthethics of reconci- liation manifest in politically charged sensitive atmospheres and the latter shows how colonial reaction to the deviant or resistant body illuminates the political potency of corporeal space.",mds,True,findable,0,0,0,0,0,2021-06-17T09:44:36.000Z,2021-06-17T09:44:37.000Z,jbru.aau,jbru,"Settler Colonialism,Political Apology,Atmosphere,Reconciliation","[{'lang': 'eng', 'subject': 'Settler Colonialism'}, {'lang': 'eng', 'subject': 'Political Apology'}, {'lang': 'eng', 'subject': 'Atmosphere'}, {'lang': 'eng', 'subject': 'Reconciliation'}]",['6 pages'],['application/pdf']
-10.48537/hal-03220332,"Infinite Atmospheres, Ambiance as a Praxeological Tool for Public Space Design",Reseau International Ambiances,2020,en,Text,Creative Commons Attribution Non Commercial No Derivatives 2.0 Generic,"How does the notion of “infinite places†allow us to question the production of a contemporary architectural space? For creators, what are the new challenges for the design of the atmospheres of these new forms of public space? This article aims to bring together the urban practices identified by the Encore Heureux collective with a praxeological thought of the design of atmospheres. Infinites places trough ambiance are analyzed in their potentials to create infinite conflicts, infinite negotiations and infinite sympathies between the back plan and the emerging events.",mds,True,findable,0,0,0,0,0,2021-06-17T10:17:09.000Z,2021-06-17T10:17:10.000Z,jbru.aau,jbru,"Infinite Places,Infinite Atmosphere,Public Spaces,Architecture,FOS: Civil engineering,Design","[{'lang': 'eng', 'subject': 'Infinite Places'}, {'lang': 'eng', 'subject': 'Infinite Atmosphere'}, {'lang': 'eng', 'subject': 'Public Spaces'}, {'lang': 'eng', 'subject': 'Architecture'}, {'subject': 'FOS: Civil engineering', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'lang': 'eng', 'subject': 'Design'}]",['6 pages'],['application/pdf']
-10.18709/perscido.2023.06.ds395,The Tour Perret LoRaWAN frames dataset,PerSCiDO,2023,,Dataset,,"The dataset contains LoRaWAN frames sent by five LoRaWAN endpoints installed on the top of Tour Perret in Grenoble, France. It contains 421937 messages received between June 2021 and June 2023 (2 years) by LoRa gateways installed in the Grenoble area by the LIG.",api,True,findable,0,0,0,0,0,2023-06-28T11:23:03.000Z,2023-06-28T11:23:03.000Z,inist.persyval,vcob,"Information Technology,Computer Science","[{'subject': 'Information Technology', 'subjectScheme': 'http://www.radar-projekt.org/display/Information_Technology'}, {'subject': 'Computer Science', 'subjectScheme': 'http://www.radar-projekt.org/display/Computer_Science'}]",['100 Mo'],['JSON']
-10.48537/hal-03220322,Politicising the Atmospheres of Urban Environmental Changes,Reseau International Ambiances,2020,en,Text,Creative Commons Attribution Non Commercial No Derivatives 2.0 Generic,"Building on field research conducted during my Ph.D., which focused on urban natures and – in particular – post-industrial, riverside Turin (Italy), the presentation dis- cusses urban political ecology and atmosphere literature, considered as two different, yet potentially complementary, fields of research. I will examine how an atmospheric-based critique of processes of decay can determine an interpretation of the dynamics of envi- ronmental degradation and – more broadly speaking – of urban environmental changes. I will conclude by offering some reflections on the extent to which the political ecology of atmospheres has helped me to formulate a different language, through which to capture the tenacious effects of processes of decay and territorial stigma.",mds,True,findable,0,0,0,0,0,2021-06-17T16:47:12.000Z,2021-06-17T16:47:13.000Z,jbru.aau,jbru,"Environmental Change,Temporality,Atmospheres,UPE,Urban Natures","[{'lang': 'eng', 'subject': 'Environmental Change'}, {'lang': 'eng', 'subject': 'Temporality'}, {'lang': 'eng', 'subject': 'Atmospheres'}, {'lang': 'eng', 'subject': 'UPE'}, {'lang': 'eng', 'subject': 'Urban Natures'}]",['5 pages'],['application/pdf']
-10.48537/hal-03220303,Extending sensibility for metabolic processes in immersive media environments,Reseau International Ambiances,2020,en,Text,Creative Commons Attribution Non Commercial No Derivatives 2.0 Generic,"How can we experience the relation to our surroundings as processual and at the same time meaningful, and not from a perspective that is solely function-oriented but as the expression of meaning that lies in the nature of our relational being itself? In this paper I explore how an æsthethics of atmospheres in spatial installations can heighten our sensitivity for ecological inter- dependencies (external) and at the same time for the responsiveness of our bodies previous to semantic reference (internal). In this respon- siveness I locate an openness towards patterns in the internal and external surroundings that allow a specific situation to make sense for a perceiving subject.",mds,True,findable,0,0,0,0,0,2021-06-17T09:44:06.000Z,2021-06-17T09:44:07.000Z,jbru.aau,jbru,"Metabolism,Phenomenology,Atmosphere,Aesthetics,Media Ecologies","[{'lang': 'eng', 'subject': 'Metabolism'}, {'lang': 'eng', 'subject': 'Phenomenology'}, {'lang': 'eng', 'subject': 'Atmosphere'}, {'lang': 'eng', 'subject': 'Aesthetics'}, {'lang': 'eng', 'subject': 'Media Ecologies'}]",['6 pages'],['application/pdf']
-10.48537/hal-03220321,"Affects as Foam of the Balance of Power at a Time of Urban Aesthetisation?, About an Exploratory Research on Nantes and Saint-Etienne (France)",Reseau International Ambiances,2020,en,Text,Creative Commons Attribution Non Commercial No Derivatives 2.0 Generic,"In the society of affects, inhabited spaces are designed and the urban experi- ence is conditioned. Based on preliminary observations realized during several editions of the Voyage à Nantes and the Biennale Internationale Design Saint-Etienne, this paper addresses theoretical, methodological and analytical questions in order to contribute to the research on the urban environment. This research postulates that this material, symbolic and discursive transformation of our sensibility perpetuates the structural rela- tionships of force linked to cultural and social capitals while promoting, through the instrumentalization of affects, a standardization and normalization of individual and collective feelings and actions.",fabrica,True,findable,0,0,0,0,0,2021-06-18T12:36:17.000Z,2021-06-18T12:36:17.000Z,jbru.aau,jbru,"Urban Atmosphere,Affects,Saint-Etienne,Nantes,Production of Space,Normalization,Conflicts","[{'lang': 'eng', 'subject': 'Urban Atmosphere'}, {'lang': 'eng', 'subject': 'Affects'}, {'lang': 'eng', 'subject': 'Saint-Etienne'}, {'lang': 'eng', 'subject': 'Nantes'}, {'lang': 'eng', 'subject': 'Production of Space'}, {'lang': 'eng', 'subject': 'Normalization'}, {'lang': 'eng', 'subject': 'Conflicts'}]",['6 pages'],['application/pdf']
-10.48537/hal-03220267,What Place for Ambiance in the Urban Renaturing Process? Session 16 – Introduction,Reseau International Ambiances,2020,en,Text,Creative Commons Attribution Non Commercial No Derivatives 2.0 Generic,,mds,True,findable,0,0,0,0,0,2021-06-17T10:17:25.000Z,2021-06-17T10:17:25.000Z,jbru.aau,jbru,,,['5 pages'],['application/pdf']
-10.48537/hal-03220274,"Ambiance Narrative Design as an Innovation Tool, The Boundary Object Concept and Applied Case Study",Reseau International Ambiances,2020,en,Text,Creative Commons Attribution Non Commercial No Derivatives 2.0 Generic,"As ambiance narratives offers a unique way to combine representations con- cepts and perceptions of the multiple actors involved in the creation process, this paper assumes that their systematic use as a boundary spanning mechanism, may contribute to both creativity in the design and to the overall fit with the expectations of the actors of the ecosystem. The use of ambiance narratives remains to be explained in such a context as the way they are designed, the process by which they are shared, interpreted and used by the different stakeholders in order to span boundaries has not been explored by research. Based on the case study observations and on the theory of boundary objects and boundary discourse, a new development method is pro- posed where innovation involves heterogenic stakeholders.",mds,True,findable,0,0,0,0,0,2021-06-17T10:17:49.000Z,2021-06-17T10:17:50.000Z,jbru.aau,jbru,"Ambiance,Boundary Object,Narrative Design,Innovation,Hostellery","[{'lang': 'eng', 'subject': 'Ambiance'}, {'lang': 'eng', 'subject': 'Boundary Object'}, {'lang': 'eng', 'subject': 'Narrative Design'}, {'lang': 'eng', 'subject': 'Innovation'}, {'lang': 'eng', 'subject': 'Hostellery'}]",['6 pages'],['application/pdf']
-10.18709/perscido.2017.11.ds100,The VLTS (Very Large Transition Systems) Benchmark Suite,PerSciDo,2017,en,Dataset,,"The VLTS benchmark suite is a collection of Labelled Transition Systems. Each Labelled Transition System is a directed, connected graph, whose vertices are called states and whose edges are called transitions. There is one distinguished vertex called the initial state. Each transition is labelled by a character string called action or label. There is one distinguished label noted ""i"" that is used for so-called invisible transitions (also known as hidden transitions or tau-transitions). The VLTS benchmarks have been obtained from various case studies about the modelling of communication protocols and concurrent systems. Many of these case studies correspond to real life, industrial systems.",api,True,findable,0,0,0,1,0,2017-11-21T12:56:41.000Z,2017-11-21T12:56:41.000Z,inist.persyval,vcob,Computer Science,"[{'lang': 'en', 'subject': 'Computer Science'}]",['500 MB'],['bcg']
-10.48537/hal-03220268,"Ambulatory Ambiance, A Comparative Analysis of Three Elevated Linear Parks",Reseau International Ambiances,2020,en,Text,Creative Commons Attribution Non Commercial No Derivatives 2.0 Generic,"This paper analyzes the atmospheres of ambulatory pathways. Differences between promenade and seating, hardscape and nature, and new public art juxtaposed with residual industrial legacy, create opportunities for choice. A privileged view outward to the city can conflict with a protected simulation of a walk through a forested alleÌe. What are the common features of design and the concerted resulting ambiance that distinguish the Prome- nade PlanteÌe in Paris, Seoullo 7017 in Seoul and the High Line in New York How does renaturation and design by nature create urban islands of calm for people? The answers are in the complexity of interaction of the different design elements.",mds,True,findable,0,0,0,0,0,2021-06-17T10:17:22.000Z,2021-06-17T10:17:22.000Z,jbru.aau,jbru,"Linear Parks,Renaturation,Design,Experience,Semiotics","[{'lang': 'eng', 'subject': 'Linear Parks'}, {'lang': 'eng', 'subject': 'Renaturation'}, {'lang': 'eng', 'subject': 'Design'}, {'lang': 'eng', 'subject': 'Experience'}, {'lang': 'eng', 'subject': 'Semiotics'}]",['6 pages'],['application/pdf']
-10.48537/hal-03220373,"Urban Sonic Research and Sound Map, soundinbetweenness.org",Reseau International Ambiances,2020,en,Text,Creative Commons Attribution Non Commercial No Derivatives 2.0 Generic,"“Can sound be defined as a factor in the social reproduction of space?†The research culminated in the production of a sound map based on soundwalk recordings, soundscape analysis, and surveys. To better understand the relation of sound, individual & environment in urban fields, we aim to collect crowdsourced data through the website. Soundwalks have been converted into flipbooks of sound postcards – embedded QR codes – allowing users access to the website. Here, users can create postcards (upload field- records), participate in the survey, get to contribute to the body of sonic data pertaining to the urban environment, individual experi- ences to be then used as a resource for further soundscape analysis and to create awareness of everyday sonic fields in order to discuss urban public spaces.",mds,True,findable,0,0,0,0,0,2021-06-17T20:55:15.000Z,2021-06-17T20:55:16.000Z,jbru.aau,jbru,"Sound Map,Urban Soundscapes,Everyday Life,Participation,Sound-postcard,Flipbook","[{'lang': 'eng', 'subject': 'Sound Map'}, {'lang': 'eng', 'subject': 'Urban Soundscapes'}, {'lang': 'eng', 'subject': 'Everyday Life'}, {'lang': 'eng', 'subject': 'Participation'}, {'lang': 'eng', 'subject': 'Sound-postcard'}, {'lang': 'eng', 'subject': 'Flipbook'}]",['6 pages'],['application/pdf']
-10.18709/perscido.2022.02.ds365,Snow surface temperature in mountainous areas,PerSCiDo,2022,en,Dataset,,"Here we compile all the data needed for the simulations of snow surface temperature in mountainous areas with the RoughSEB model, as well as the simulation results. The weather and radiometric measurements are from the FluxAlp station.",fabrica,True,findable,0,0,0,1,0,2022-02-10T14:39:33.000Z,2022-02-10T14:39:34.000Z,inist.persyval,vcob,"Physics,Glaciology,Environmental science and ecology","[{'lang': 'en', 'subject': 'Physics'}, {'lang': 'en', 'subject': 'Glaciology'}, {'lang': 'en', 'subject': 'Environmental science and ecology'}]",['100Mo'],
-10.48537/hal-03220336,"Displacement: Architectural Collage, Investigating Atmospheres in a Design Studio",Reseau International Ambiances,2020,en,Text,Creative Commons Attribution Non Commercial No Derivatives 2.0 Generic,"During the construction of Hearst Castle in CA, W. R. Hearst purchased archi- tectural antiquities from throughout Europe. His motivation was to create an atmosphere providing both rich multi-sensory perceptions and meaning through the cultural values embedded in the European spolia. In 1929, Hearst purchased a 14th century English tithe barn that was disassembled and shipped to CA, but never used. The current owner asked an architectural design studio to investigate how atmospheres might arise through the introduc- tion of fragments of this ancient structure into public spaces in Cal Poly’s Brutalist library. This paper will present the methodology and outcomes of the design studio that investigated how an architectural collage could prompt multiple modes of engagement.",mds,True,findable,0,0,0,0,0,2021-06-17T16:48:14.000Z,2021-06-17T16:48:15.000Z,jbru.aau,jbru,"Architecture,FOS: Civil engineering,History,Atmosphere,Collage,Bricolage","[{'lang': 'eng', 'subject': 'Architecture'}, {'subject': 'FOS: Civil engineering', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'lang': 'eng', 'subject': 'History'}, {'lang': 'eng', 'subject': 'Atmosphere'}, {'lang': 'eng', 'subject': 'Collage'}, {'lang': 'eng', 'subject': 'Bricolage'}]",['6 pages'],['application/pdf']
-10.48537/hal-03220299,"Architecture and its Double, The Expanded Medium of Architecture and Spatial Aeffect",Reseau International Ambiances,2020,en,Text,Creative Commons Attribution Non Commercial No Derivatives 2.0 Generic,"The digital has expanded the medium of architecture, bringing with it a focus on architectural surfaces. This paper presents a theoretical discussion centered on spatial æffect or how architecture operates as an atmospheric machine. The argument is that architecture’s double, atmospheric and meaningful archi- tecture, architecture that affords mental transport across time and space, emerges when instead of focusing on the backdrop to the action or on surfaces, architects consider dimensionality and play with the experiential assemblage of the many material and immaterial elements that constitute space. Engaging in the production of architecture’s double is not only necessary for creativity and spatial diversity, but also for enchantment, which can drive attachment to places and help create and sustain a sense of belonging.",mds,True,findable,0,0,0,0,0,2021-06-17T16:47:48.000Z,2021-06-17T16:47:49.000Z,jbru.aau,jbru,"Spatial Aeffect,expanded medium,Double,Surface,kissing architecture","[{'lang': 'eng', 'subject': 'Spatial Aeffect'}, {'lang': 'eng', 'subject': 'expanded medium'}, {'lang': 'eng', 'subject': 'Double'}, {'lang': 'eng', 'subject': 'Surface'}, {'lang': 'eng', 'subject': 'kissing architecture'}]",['6 pages'],['application/pdf']
-10.48380/6fh7-7m80,Experimental alteration of ferroan brucite at temperature below 150°C: new thermodynamic and kinetic constaints on H2 production during ultramafic rock alteration at low temperature,Deutsche Geologische Gesellschaft - Geologische Vereinigung e.V. (DGGV),2023,en,Text,,"<p>The alteration of ferroan brucite, a common by-product of serpentinization, has been proposed as a H<sub>2</sub> source at low temperature. Here, synthetic ferroan brucite with Fe/(Fe+Mg) = 0.2 was reacted with pure water at temperatures ranging from 348 to 573 K in 29 experiments either conducted in gold capsules or in Ti-based reactors. H<sub>2</sub> production monitoring with time and characterization of the reaction products revealed the occurrence of the following reaction: 3 Fe(OH)<sub>2</sub><sup>brucite</sup> = Fe<sub>3</sub>O<sub>4</sub> + H<sub>2</sub> + 2 H<sub>2</sub>O. This reaction proceeded completely in ~ 2 months at 378 K and was thermally activated. The small grain size of the synthetic brucite (40-100 nm) was similar to observations in natural samples, and was probably responsible for the high reaction rate measured. H<sub>2</sub> production reached a plateau and Fe-bearing brucite also precipitated as a reaction product, suggesting the achievement of equilibrium. The thermodynamic properties of Fe(OH)<sub>2</sub> were refined based on the experimental dataset and differ by less than 5 % from previous estimates. However, ferroan brucite is predicted to be stable at an hydrogen activity one order of magnitude lower than previously calculated. As a result, significant H<sub>2</sub> production during ferroan brucite alteration at low temperature requires efficient fluid renewal. Such a mechanism strongly differs from olivine serpentinization which can occur even at high activity in H<sub>2</sub> and thus with limited water renewal.</p>
-",api,True,findable,0,0,0,0,0,2023-12-11T21:15:14.000Z,2023-12-11T21:15:14.000Z,mcdy.dohrmi,mcdy,,,,
-10.48537/hal-03220311,"From a Sensitive Ecology of Ambiances/Atmospheres to a Political Ecology, Session 6 – Introduction",Reseau International Ambiances,2020,en,Text,Creative Commons Attribution Non Commercial No Derivatives 2.0 Generic,,mds,True,findable,0,0,0,0,0,2021-06-17T16:48:43.000Z,2021-06-17T16:48:44.000Z,jbru.aau,jbru,,,['3 pages'],['application/pdf']
-10.18709/perscido.2020.06.ds299,GreEn-ER - Dataset of electricity consumption,PerSciDo,2020,en,Dataset,,Dataset of electricity consumption of the GreEn-ER Building Located in Grenoble,fabrica,True,findable,0,0,0,0,0,2020-06-18T11:27:55.000Z,2020-06-18T11:27:55.000Z,inist.persyval,vcob,"Computer Science,Engineering","[{'lang': 'en', 'subject': 'Computer Science'}, {'lang': 'en', 'subject': 'Engineering'}]",['62.42 MB'],['csv']
-10.48537/hal-03220315,"Three Avant-Garde Masterpieces: Atmosphères, Aura, Stimmung, Can Music Suggest an Original Interpretation of These Themes?",Reseau International Ambiances,2020,en,Text,Creative Commons Attribution Non Commercial No Derivatives 2.0 Generic,"Thinking about the predictable in-presence 4th International Congress on Ambiances 2020 I wrote: “I will propose to the listener some significant fragments of these three compositions to trigger a discussion that will focus on the core of my intervention: single-word titles that have implications that reach far beyond mere musical fact. My question will be: ‘Can music offer an original interpretation of these themes suggesting new research perspectives?’†An unpredictable situation forces to rearrange the sequence: the proceedings will precede the other actions. My question remains and, since I am a composer, I feel comfortable purposing this text as the draft of a score. A score is an imagined memory of a musical event to come. I propose here a two steps participative process: a de-composition and a re-composition.",mds,True,findable,0,0,0,0,0,2021-06-17T16:47:56.000Z,2021-06-17T16:47:57.000Z,jbru.aau,jbru,"Aura,Stimmung,Atmosphères,Participatory Music Project","[{'lang': 'eng', 'subject': 'Aura'}, {'lang': 'eng', 'subject': 'Stimmung'}, {'lang': 'eng', 'subject': 'Atmosphères'}, {'lang': 'eng', 'subject': 'Participatory Music Project'}]",['6 pages'],['application/pdf']
-10.48537/hal-03220329,"Ascolto il tuo cuore, città, Listening to My City at the Time of COVID-19",Reseau International Ambiances,2020,en,Text,Creative Commons Attribution Non Commercial No Derivatives 2.0 Generic,"During the COVID-19 lockdown, I suddenly decided to record the sounds of my apartment and my quarter, a lively community in the center of Turin: shops, outdoor markets, bars and restaurants in the day; cinemas, theaters, pubs in the night; the Valentino park, a big green area in the center of Turin on the Po river and the Porta Nuova train station. The soundwalks and the soundscapes I realized daily through the months of lockdown will continue as an online work in progress that allows for a sound exploration of this environ- ment in this period and context. Many things have visibly changed: but is the change even audible? The same unpredictable changes imposed by the emergency have stimulated me to remodel the project that is proposed here in a renewed participatory approach.",mds,True,findable,0,0,0,0,0,2021-06-17T16:46:58.000Z,2021-06-17T16:46:59.000Z,jbru.aau,jbru,"Soundwalk,Soundscape,COVID-19 Lockdown,Participatory Art Project","[{'lang': 'eng', 'subject': 'Soundwalk'}, {'lang': 'eng', 'subject': 'Soundscape'}, {'lang': 'eng', 'subject': 'COVID-19 Lockdown'}, {'lang': 'eng', 'subject': 'Participatory Art Project'}]",['6 pages'],['application/pdf']
-10.48537/hal-03220307,"Making the Most of Parisian Quarries’ Air, Experimental Climatic Furniture Using Parisian Quarries’ Air to Cool Public Spaces",Reseau International Ambiances,2020,en,Text,Creative Commons Attribution Non Commercial No Derivatives 2.0 Generic,"As many large cities are confronted with global warming, Paris is looking for ways to be more resilient when facing urban heat island. The article describes a design experi- mentation aiming at tapping into naturally fresh air resources located in underground quarries underneath the streets of Paris. Working as urban sized earth-to-air-heat- exchangers, underground galleries will fuel a climatic bench that will cool down public spaces in summer.",mds,True,findable,0,0,0,0,0,2021-06-17T20:45:51.000Z,2021-06-17T20:45:52.000Z,jbru.aau,jbru,"Urban Heat Island,Paris,Underground Quarry,Urban Furniture,Public Space","[{'lang': 'eng', 'subject': 'Urban Heat Island'}, {'lang': 'eng', 'subject': 'Paris'}, {'lang': 'eng', 'subject': 'Underground Quarry'}, {'lang': 'eng', 'subject': 'Urban Furniture'}, {'lang': 'eng', 'subject': 'Public Space'}]",['6 pages'],['application/pdf']
-10.18709/perscido.2017.03.ds31,LTTng Execution Traces of 10 Phoronix Benchmarks,PerSciDo,2017,en,Dataset,,"This dataset contains the execution traces of 10 Phoronix benchmarks (e.g. compress-gzip, ffmpeg, iozone, network-loopback, phpbench, pybench, ramspeed, scimark2, stream, unpack-linux). The traces concern three different tracing configurations, namely kernel, memory and performance counters. They have been obtained on a standard Linux machine and on the Juno platform. Each configuration has been run 32 times on the Linux machine and 1 time on the Juno board.",fabricaForm,True,findable,0,0,0,0,0,2017-03-20T15:34:38.000Z,2017-03-20T15:34:38.000Z,inist.persyval,vcob,Computer Science,[{'subject': 'Computer Science'}],['100 GB'],
-10.48537/hal-03220342,Fear of the Unknown in Urban Atmospheres,Reseau International Ambiances,2020,en,Text,Creative Commons Attribution Non Commercial No Derivatives 2.0 Generic,"In today’s world of insecurity, we are feeling less and less secure in our urban environments. In recent years, there has been much focus on reducing crime rates and crime prevention. However, there are times when we feel unsafe in a place where there is no real threat. This will directly affect our cities and their atmospheres as one avoids places of insecurity. In this paper, by reviewing the exis- ting literature on actual safety and perceived safety, the perception of atmosphere, fear and fear of the unknown, we aim to suggest that it is fear of the unknown and the lack of sensory information as the mediums of atmospheres that can lead to the emotion of fear in an otherwise safe seeming place.",mds,True,findable,0,0,0,0,0,2021-06-17T10:18:09.000Z,2021-06-17T10:18:10.000Z,jbru.aau,jbru,"Ambiance,Perceived Safety,Urban Atmosphere,Fear of the Unknown,Fear","[{'lang': 'eng', 'subject': 'Ambiance'}, {'lang': 'eng', 'subject': 'Perceived Safety'}, {'lang': 'eng', 'subject': 'Urban Atmosphere'}, {'lang': 'eng', 'subject': 'Fear of the Unknown'}, {'lang': 'eng', 'subject': 'Fear'}]",['6 pages'],['application/pdf']
-10.6084/m9.figshare.c.6950873.v1,Effects of a physical activity and endometriosis-based education program delivered by videoconference on endometriosis symptoms: the CRESCENDO program (inCRease physical Exercise and Sport to Combat ENDOmetriosis) protocol study,figshare,2023,,Collection,Creative Commons Attribution 4.0 International,"Abstract Background Endometriosis is a chronic disease characterized by growth of endometrial tissue outside the uterine cavity which could affect 200 million women (The term “woman†is used for convenience. Individuals gendered as man or as nonbinary can also suffer from this disease) worldwide. One of the most common symptoms of endometriosis is pelvic chronic pain associated with fatigue. This pain can cause psychological distress and interpersonal difficulties. As for several chronic diseases, adapted physical activity could help to manage the physical and psychological symptoms. The present study will investigate the effects of a videoconference-based adapted physical activity combined with endometriosis-based education program on quality of life, pain, fatigue, and other psychological symptoms and on physical activity. Methods This multicentric randomized-controlled trial will propose to 200 patients with endometriosis to be part of a trial which includes a 6-month program with 45 min to more than 120 min a week of adapted physical activity and/or 12 sessions of endometriosis-based education program. Effects of the program will be compared to a control group in which patients will be placed on a waiting list. All participants will be followed up 3 and 6 months after the intervention. None of the participants will be blind to the allocated trial arm. The primary outcome measure will be quality of life. Secondary outcomes will include endometriosis-related perceived pain, fatigue, physical activity, and also self-image, stereotypes, motivational variables, perceived support, kinesiophobia, basic psychological need related to physical activity, and physical activity barriers. General linear models and multilevel models will be performed. Predictor, moderator, and mediator variables will be investigated. Discussion This study is one of the first trials to test the effects of a combined adapted physical activity and education program for improving endometriosis symptoms and physical activity. The results will help to improve care for patients with endometriosis. Trial registration ClinicalTrials.gov, NCT05831735 . Date of registration: April 25, 2023",mds,True,findable,0,0,0,0,0,2023-11-28T04:40:38.000Z,2023-11-28T04:40:38.000Z,figshare.ars,otjm,"Medicine,Genetics,FOS: Biological sciences,Physiology,Science Policy,Sociology,FOS: Sociology,Biological Sciences not elsewhere classified","[{'subject': 'Medicine'}, {'subject': 'Genetics'}, {'subject': 'FOS: Biological sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Physiology'}, {'subject': 'Science Policy'}, {'subject': 'Sociology'}, {'subject': 'FOS: Sociology', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Biological Sciences not elsewhere classified'}]",,
-10.18709/perscido.2020.05.ds314,Snow albedo over artificial macroscopic surface roughness,PerSciDo,2020,en,Dataset,Creative Commons Attribution 4.0 International,"In situ measurements of albedo were acquired in the French Alps over smooth and rough snow surfaces. The roughness features were artificially created by pushing the snow down a few centimeter with rectangular and triangular rulers (2.5 m long) at regular spacing over a 2.5 m wide area. Spectral albedo over the rough area was recorded just after the creation, or for some experiment regularly over a few hours after the creation. A nearby smooth area was also measured to provide a reference. It is worth noting that despite our effort to search for flat areas, all the measured areas have small yet non-negligible slope. Ancillary data include spectral diffuse / total incident radiation ratio acquired just after each albedo measurements, slope information and other metadata. The accompanying paper provides full details of the roughness and experimental conditions.",fabrica,True,findable,0,0,0,1,0,2020-05-15T14:03:52.000Z,2020-05-15T14:03:53.000Z,inist.persyval,vcob,"Environmental Science and Ecology,Physics","[{'lang': 'en', 'subject': 'Environmental Science and Ecology'}, {'lang': 'en', 'subject': 'Physics'}]",['10 MB'],['csv']
-10.18709/perscido.2019.10.ds267,Benchmark MODECOGeL,PerSciDo,2019,en,Dataset,,A global sensitivity analysis approach for marine biogeochemical modeling,fabrica,True,findable,0,0,0,0,0,2019-10-18T12:55:06.000Z,2019-10-18T12:55:07.000Z,inist.persyval,vcob,"Computer Science,Mathematics,FOS: Mathematics,FOS: Mathematics,Biochemistry","[{'lang': 'en', 'subject': 'Computer Science'}, {'lang': 'en', 'subject': 'Mathematics'}, {'subject': 'FOS: Mathematics', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'FOS: Mathematics', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'lang': 'en', 'subject': 'Biochemistry'}]",['6.1 GB'],['zip']
-10.48537/hal-03220331,"A Workshop on Sonic Ambiances at the School of Architecture of the University of Talca, Chile, Instrumental Condition of Space",Reseau International Ambiances,2020,en,Text,Creative Commons Attribution Non Commercial No Derivatives 2.0 Generic,"This teaching-and-learning event was held at the University of Talca which has a twenty-year-old educational programme in Chile Ìs Central Valley. Today, this region is involved in a fast process of transformation, due to new economic activities that are having a strong impact on the way of life. However, a rich collective imaginary still persists. Throughout this workshop on the sonic dimen- sion, the resources used were based on the soundscape approach, the paradigm of citizen science and the use of mobile phones. Other tools used were light beams and paper models to further develop the sensory experience. An assessment of the process added new data on how the learning process has been enriched.",mds,True,findable,0,0,0,0,0,2021-06-17T10:17:47.000Z,2021-06-17T10:17:47.000Z,jbru.aau,jbru,"Sonic Environment,Sensitive Learning,Pedagogy of Architecture","[{'lang': 'eng', 'subject': 'Sonic Environment'}, {'lang': 'eng', 'subject': 'Sensitive Learning'}, {'lang': 'eng', 'subject': 'Pedagogy of Architecture'}]",['6 pages'],['application/pdf']
-10.48537/hal-03220382,"Atelier de la traverseÌe, A Workshop to Reflect on a Possible Mediation Between Affective and Political Atmospheres",Reseau International Ambiances,2020,en,Text,Creative Commons Attribution Non Commercial No Derivatives 2.0 Generic,"As part of my doctoral research, I organized Atelier de la traverseÌe workshop in Brussels, which involved 12 women in individual exploration of their relationship with public spaces. My aim was to investigate from up close some gendered urban experi- ences and to let emerge atmosphere of spatial inclusion or exclusion. In this paper, I will focus on a moment in the workshop, when women experienced space through the body and express their affective state through a creative medium. This phase produced images, audio, poems that helped me (at least to try) to enter into some atmospheric realities and to reflect on their possible both affective and political meanings.",mds,True,findable,0,0,0,0,0,2021-06-17T10:18:07.000Z,2021-06-17T10:18:07.000Z,jbru.aau,jbru,"Feminist Urban Geography,Nomadic Theory,Atmospheres,Creative Methodologies","[{'lang': 'eng', 'subject': 'Feminist Urban Geography'}, {'lang': 'eng', 'subject': 'Nomadic Theory'}, {'lang': 'eng', 'subject': 'Atmospheres'}, {'lang': 'eng', 'subject': 'Creative Methodologies'}]",['6 pages'],['application/pdf']
-10.48537/hal-03220323,Foreword,Reseau International Ambiances,2020,en,Text,Creative Commons Attribution Non Commercial No Derivatives 2.0 Generic,,fabrica,True,findable,0,0,0,0,0,2021-06-16T15:41:38.000Z,2021-06-16T15:41:38.000Z,jbru.aau,jbru,,,['3 pages'],['application/pdf']
-10.48537/hal-03220328,The Kite Choir,Reseau International Ambiances,2020,en,Text,Creative Commons Attribution Non Commercial No Derivatives 2.0 Generic,"This paper reports on the develop- ment of an ongoing artistic project, the Kite Choir, as an æsthetic practice of attunement with the atmosphere. The Kite Choir is a practice that builds on traditions of singing kites. In these traditions, the sound-making device is carried aloft by the kite, giving voice to an assemblage brought to life by the wind. The Kite Choir instead extends the site of instrumentation along the entire kite line and reel, to promote a collaborative chain of agency between atmosphere and performer/ pilot. The paper describes the unique sound instruments and score created for this project and their relation to time and place of perfor- mance, and concludes with a set of speculative questions on how this practice might develop in the future.",mds,True,findable,0,0,0,0,0,2021-06-17T16:48:36.000Z,2021-06-17T16:48:37.000Z,jbru.aau,jbru,"Sound,Attunement,Atmosphere,Kites","[{'lang': 'eng', 'subject': 'Sound'}, {'lang': 'eng', 'subject': 'Attunement'}, {'lang': 'eng', 'subject': 'Atmosphere'}, {'lang': 'eng', 'subject': 'Kites'}]",['6 pages'],['application/pdf']
-10.48537/hal-03220300,Atmospheric Gestures of Architecture in Cinematic Aided Design Framework,Reseau International Ambiances,2020,en,Text,Creative Commons Attribution Non Commercial No Derivatives 2.0 Generic,"Atmosphere and ambient properties can be hidden dimensions of architectural space. How can students design with atmos- phere in mind? Unlike artists, architects often do not considering multisensory modalities as resourceful possibilities for creativity. In a Cinematic Aided Design framework, we can tap into the potentials of these hidden dimensions in architectural or urban scale. How does the affective atmosphere translate to knowledge for design? A synthesis generated through experimental moving image techniques can be used as source materials for a cinematic architecture that can be influential forces in different stages of design process. This paper suggests atmosphere as a concept is instru- mental for decoding architectural gestures and generating meaningful associations.",mds,True,findable,0,0,0,0,0,2021-06-17T16:48:46.000Z,2021-06-17T16:48:47.000Z,jbru.aau,jbru,"Gesture,Architecture,FOS: Civil engineering,Atmosphere,Cinematic","[{'lang': 'eng', 'subject': 'Gesture'}, {'lang': 'eng', 'subject': 'Architecture'}, {'subject': 'FOS: Civil engineering', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'lang': 'eng', 'subject': 'Atmosphere'}, {'lang': 'eng', 'subject': 'Cinematic'}]",['6 pages'],['application/pdf']
-10.18709/perscido.2022.06.ds369,CampusIoT anonymized LoRaWAN dataset,PerSCiDo,2022,en,Dataset,,"A dataset containing 130 million entries of LoRaWAN network logs produced by CampusIoT, including basic radio features and gateways' management messages (eg: official links between DevEUI and DevAddr). See the attached document for a more precise description of the fields available.",fabrica,True,findable,0,0,0,0,0,2022-06-29T14:08:22.000Z,2022-06-29T14:08:23.000Z,inist.persyval,vcob,"Information technology,Computer science,Engineering","[{'lang': 'en', 'subject': 'Information technology'}, {'lang': 'en', 'subject': 'Computer science'}, {'lang': 'en', 'subject': 'Engineering'}]",['6.2Mo'],
-10.48537/hal-03220291,"Body, Culture, Identity, Session 4 – Introduction",Reseau International Ambiances,2020,en,Text,Creative Commons Attribution Non Commercial No Derivatives 2.0 Generic,,mds,True,findable,0,0,0,0,0,2021-06-17T10:17:41.000Z,2021-06-17T10:17:42.000Z,jbru.aau,jbru,,,['3 pages'],['application/pdf']
-10.48537/hal-03220285,"Reusing Atmospheres, The Case of the Adaptive Reuse of the Lombroso Pavilion",Reseau International Ambiances,2020,en,Text,Creative Commons Attribution Non Commercial No Derivatives 2.0 Generic,"The paper is a contribution to the analysis of the role and nature of the built en- vironment in mind museums – former asylums turned into museums. It notably focuses on the adaptive reuse intervention implied in the design of these museums by revolving around the concept of atmosphere. By building on the case of the Museum of the History of Psychiatry in Reggio Emilia (IT) the paper examines how the peculiar atmosphere of the museum premise has been in play and worked out in the museum design. In doing so, it posits atmosphere as a designerly element alike other material and immaterial ones characterising the site and points out how such a perspective can provide a fruitful position for delving into the role of design in the overall project of a mind museum.",mds,True,findable,0,0,0,0,0,2021-06-17T20:45:57.000Z,2021-06-17T20:45:57.000Z,jbru.aau,jbru,"Adaptive Reuse,Mind Museums,Atmosphere,Museum Design","[{'lang': 'eng', 'subject': 'Adaptive Reuse'}, {'lang': 'eng', 'subject': 'Mind Museums'}, {'lang': 'eng', 'subject': 'Atmosphere'}, {'lang': 'eng', 'subject': 'Museum Design'}]",['6 pages'],['application/pdf']
-10.18709/perscido.2019.04.ds242,"F-TRACT, ATLAS April 2019",PerSciDo,2019,en,Dataset,Creative Commons Attribution Non Commercial No Derivatives 4.0 International,"Connectivity probability as well as features describing fibers biophysical properties, estimated from CCEP data recorded in 315 patients, in the MarsAtlas, HCP-MMP1 and Lausanne2008 (resolutions 60, 125, 250) parcellation schemes. The CCEP features are: peak and onset latency (LatStart), amplitude, integral, duration and the velocity estimated from the onset latency and the fibers distance between the parcels.",fabrica,True,findable,0,0,0,5,0,2019-04-17T16:36:42.000Z,2019-04-17T16:36:42.000Z,inist.persyval,vcob,"Computer Science,Medicine","[{'lang': 'en', 'subject': 'Computer Science'}, {'lang': 'en', 'subject': 'Medicine'}]",['150 MB'],['tsv- mat']
-10.48537/hal-03220330,"Infinite Atmospheres? Ethic Dimensions of and for the Design of Public Spaces, Session 7 – Introduction",Reseau International Ambiances,2020,en,Text,Creative Commons Attribution Non Commercial No Derivatives 2.0 Generic,,mds,True,findable,0,0,0,0,0,2021-06-17T16:48:30.000Z,2021-06-17T16:48:30.000Z,jbru.aau,jbru,,,['2 pages'],['application/pdf']
-10.48537/hal-03220294,"Atelier Art et Re-Action (Area), Performing Urban Routines and Rituals",Reseau International Ambiances,2020,en,Text,Creative Commons Attribution Non Commercial No Derivatives 2.0 Generic,"This paper presents a series of contemporary artistic methods and collective actions based on the pioneering work of the French avant-garde group Art et Action (AEA, 1919-1939). AEA actively responded to the fast-changing society of their time through their innovative ‘theatre laboratory’, an experimental artistic research environment in which actors and audience were invited to investigate together the rhythmic order of urban routines and rituals, through the re-en- actment of daily urban atmospheres. Based on AEA’s methods and concepts, atelier Area aims at responding to today’s deep physical, sensorial and social transformation of the city by re-acting contemporary urban routines and rituals through public improvisations and interventions. Three concrete examples will be presented here.",mds,True,findable,0,0,0,0,0,2021-06-17T10:17:27.000Z,2021-06-17T10:17:28.000Z,jbru.aau,jbru,"Art et Action,Urban Routines and Rituals,Re-Action,Artistic Research Methods","[{'lang': 'eng', 'subject': 'Art et Action'}, {'lang': 'eng', 'subject': 'Urban Routines and Rituals'}, {'lang': 'eng', 'subject': 'Re-Action'}, {'lang': 'eng', 'subject': 'Artistic Research Methods'}]",['6 pages'],['application/pdf']
-10.6084/m9.figshare.24647123,Additional file 1 of Effects of a physical activity and endometriosis-based education program delivered by videoconference on endometriosis symptoms: the CRESCENDO program (inCRease physical Exercise and Sport to Combat ENDOmetriosis) protocol study,figshare,2023,,Text,Creative Commons Attribution 4.0 International,Additional file 1. Randomization script,mds,True,findable,0,0,0,0,0,2023-11-28T04:40:37.000Z,2023-11-28T04:40:37.000Z,figshare.ars,otjm,"Medicine,Genetics,FOS: Biological sciences,Physiology,Science Policy,Sociology,FOS: Sociology,Biological Sciences not elsewhere classified","[{'subject': 'Medicine'}, {'subject': 'Genetics'}, {'subject': 'FOS: Biological sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Physiology'}, {'subject': 'Science Policy'}, {'subject': 'Sociology'}, {'subject': 'FOS: Sociology', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Biological Sciences not elsewhere classified'}]",['12261 Bytes'],
+10.5281/zenodo.7147022,CaliParticles: A Benchmark Standard for Experiments in Granular Materials,Zenodo,2022,en,Dataset,"Creative Commons Attribution 4.0 International,Open Access","Granular materials are discrete particulate media that can flow like a liquid but also be rigid like a solid. This complex mechanical behavior originates in part from the particles shape. How particle shape affects mechanical behavior remains poorly understood. Understanding this micro-macro link would enable the rational design of potentially cheap, light weight or robust materials. To aid this development, we have produced a set of standard particle shapes that can be used as benchmarks for granular materials research. Here we describe the collection of benchmark shapes. Some part of the particles are modeled on superquadrics, others are custom designed. The particles used so far were made from polyoxymethylene (POM) whose specifications are also listed. The benchmark shapes are available as molds in a plastics manufacturing company, whose contact information is also included. The company is capable of making other molds as well, giving access to more particle shapes. The same particle shapes can thus also be made in different types of (colored) plastic, and in amounts of 50.000 particles or more, larger than conveniently be produced with a 3D printer. We also provide the associated .step and .stl files in the repository in which this document is included.",mds,True,findable,0,0,0,0,0,2022-10-17T08:50:34.000Z,2022-10-17T08:50:34.000Z,cern.zenodo,cern,"Particles,Macaroni,Ellipsoid,Tetrapod,Hexapod,Sphereotetrahedron,Caliper","[{'subject': 'Particles'}, {'subject': 'Macaroni'}, {'subject': 'Ellipsoid'}, {'subject': 'Tetrapod'}, {'subject': 'Hexapod'}, {'subject': 'Sphereotetrahedron'}, {'subject': 'Caliper'}]",,
+10.17178/ohmcv.dsd.mre.12-14.1,"DSD network, Mont-Redon",CNRS - OSUG - OREME,2011,en,Dataset,"Data access and use are ruled by the OHMCV data policy.,The following acknowledging sentence should appear in publications using OHMCV data and products: ""OHMCV is funded by the Institut National des Sciences de l’Univers (INSU/CNRS) and the Observatoire des Sciences de l’Univers de Grenoble (OSUG / Université Grenoble Alpes)â€.",This dataset is part of the Cevennesâ€Vivarais Mediterranean Hydrometeorological Observatory (OHMCV),mds,True,findable,0,0,1,1,0,2017-03-10T17:09:19.000Z,2017-03-10T17:09:20.000Z,inist.osug,jbru,"Atmospheric conditions,Precipitation,Precipitation Rate,Droplet Size,DISDROMETERS,Ground networks,Hydrometeorological sites,Fixed Observation Stations","[{'subject': 'Atmospheric conditions', 'subjectScheme': 'main'}, {'subject': 'Precipitation', 'subjectScheme': 'main'}, {'subject': 'Precipitation Rate', 'subjectScheme': 'main'}, {'subject': 'Droplet Size', 'subjectScheme': 'main'}, {'subject': 'DISDROMETERS', 'subjectScheme': 'main'}, {'subject': 'Ground networks', 'subjectScheme': 'main'}, {'subject': 'Hydrometeorological sites', 'subjectScheme': 'main'}, {'subject': 'Fixed Observation Stations', 'subjectScheme': 'main'}]",,['NETCDF']
+10.34847/nkl.adc04b9w,Bulletin franco-italien 1912 n°2 mars - avril,NAKALA - https://nakala.fr (Huma-Num - CNRS),2022,fr,Book,,"1912/03 (A4,N2)-1912/04.",api,True,findable,0,0,0,0,0,2022-06-29T10:30:34.000Z,2022-06-29T10:30:34.000Z,inist.humanum,jbru,Etudes italiennes,[{'subject': 'Etudes italiennes'}],"['5911653 Bytes', '36330 Bytes', '20948809 Bytes', '21088168 Bytes', '20945074 Bytes', '20995618 Bytes', '21018802 Bytes', '21114103 Bytes', '21203224 Bytes', '21063487 Bytes', '21032884 Bytes', '21059062 Bytes', '20963617 Bytes', '20835679 Bytes', '21114352 Bytes', '20978806 Bytes']","['application/pdf', 'application/json', 'image/tiff', 'image/tiff', 'image/tiff', 'image/tiff', 'image/tiff', 'image/tiff', 'image/tiff', 'image/tiff', 'image/tiff', 'image/tiff', 'image/tiff', 'image/tiff', 'image/tiff', 'image/tiff']"
+10.17178/emaa_ortho-nh3_rotation_331d9739,"Rotation excitation of ortho-NH3 by H, ortho-H2 and para-H2 collisions","UGA, CNRS, CNRS-INSU, OSUG",2021,en,Dataset,"Please acknowledge the use of EMAA Database by citing the original articles in which the data were published (BibTeX format available), and adding the following sentence in your publication:
+This research has made use of spectroscopic and collisional data from the EMAA database (https://emaa.osug.fr). EMAA is supported by the Observatoire des Sciences de l'Univers de Grenoble (OSUG),Creative Commons Attribution 4.0 International,Data access and use are ruled by the EMAA data policy.",17 rotation energy levels / 25 radiative transitions / 136 collisional transitions for H (20 temperatures in the range 10-200K) / 136 collisional transitions for ortho-H2 (20 temperatures in the range 10-200K) / 136 collisional transitions for para-H2 (20 temperatures in the range 10-200K),mds,True,findable,0,0,0,0,0,2023-12-07T15:51:56.000Z,2023-12-07T15:51:57.000Z,inist.osug,jbru,"target ortho-NH3,excitationType Rotation,collisional excitation,collider.0 H,collider.1 ortho-H2,collider.2 para-H2,astrophysics,interstellar medium,comets,circumstellar medium,gas,microwave spectroscopy,infrared spectroscopy,rotational excitation,rovibrational excitation,vibrational excitation,electronic excitation,collisional rate coefficients,fine structure,hyperfine structure","[{'subject': 'target ortho-NH3', 'subjectScheme': 'main'}, {'subject': 'excitationType Rotation', 'subjectScheme': 'main'}, {'subject': 'collisional excitation', 'subjectScheme': 'main'}, {'subject': 'collider.0 H', 'subjectScheme': 'var'}, {'subject': 'collider.1 ortho-H2', 'subjectScheme': 'var'}, {'subject': 'collider.2 para-H2', 'subjectScheme': 'var'}, {'subject': 'astrophysics', 'subjectScheme': 'var'}, {'subject': 'interstellar medium', 'subjectScheme': 'var'}, {'subject': 'comets', 'subjectScheme': 'var'}, {'subject': 'circumstellar medium', 'subjectScheme': 'var'}, {'subject': 'gas', 'subjectScheme': 'var'}, {'subject': 'microwave spectroscopy', 'subjectScheme': 'var'}, {'subject': 'infrared spectroscopy', 'subjectScheme': 'var'}, {'subject': 'rotational excitation', 'subjectScheme': 'var'}, {'subject': 'rovibrational excitation', 'subjectScheme': 'var'}, {'subject': 'vibrational excitation', 'subjectScheme': 'var'}, {'subject': 'electronic excitation', 'subjectScheme': 'var'}, {'subject': 'collisional rate coefficients', 'subjectScheme': 'var'}, {'subject': 'fine structure', 'subjectScheme': 'var'}, {'subject': 'hyperfine structure', 'subjectScheme': 'var'}]",,['Radex']
+10.17178/draixbleone_gal_rob_ssc_0719,Suspended Sediment Concentration of the river Galabre at the Robine station of the Galabre watershed,IGE - CNRS - OSUG,2020,en,Dataset,"Always quote below citation to Navratil et al. (2011) when using these data. Navratil O., Esteves M., Legout C., Gratiot N., Némery J., Willmore S., Grangeon T. (2011). Global uncertainty analysis of suspended sediment monitoring using turbidimeter in a small mountainous river catchment. Journal of Hydrology. 398: 246-259.,Creative Commons Attribution 4.0 International,The following acknowledging sentence should appear in publications using data and products from the Galabre watershed of the Draix Bleone Observatory: ""DRAIX BLEONE is funded by the Institut National des Sciences de l’Univers (INSU/CNRS) and the Observatoire des Sciences de l’Univers de Grenoble (OSUG / Université Grenoble Alpes)â€.,Always quote below citation to Legout et al. (submitted) when using these data. Legout C., Freche G., Biron R., Esteves M., Nord G, Navratil O., Uber M., Grangeon T., Hachgenei N., Boudevillain B. Voiron C., Spadini L. A critical zone observatory dedicated to suspended sediment transport: the meso-scale Galabre catchment (southern French Alps), submitted to Hydrological Processes.",This suspended sediment concentration data set is part of the DRAIXBLEONE_GAL observatory.,mds,True,findable,0,0,0,0,0,2020-09-15T15:58:50.000Z,2020-09-15T15:58:52.000Z,inist.osug,jbru,"Mediterranean mountainous climate,Surface water,Sediments,Water quality / Water chemistry","[{'subject': 'Mediterranean mountainous climate', 'subjectScheme': 'main'}, {'subject': 'Surface water', 'subjectScheme': 'var'}, {'subject': 'Sediments', 'subjectScheme': 'var'}, {'subject': 'Water quality / Water chemistry', 'subjectScheme': 'var'}]",,['CSV']
+10.17178/cryobsclim.clb.safran,"Col du Lac Blanc, SAFRAN meteorological data",CNRS - OSUG - Meteo France - Irstea,2000,,Dataset,"Data access and use are ruled by the CRYOBS-CLIM data policy.,Always quote below citation to Guyomarch et al. (2019) when using data.
+G. Guyomarc'h, H. bellot, V. Vionnet, F. Naaim-Bouvet, Y. Deliot, F. Fontaine, P. Pugliese, M. Naaim, K. Nishimura, A meteorological and blowing snow data set (2000-2016) from a high altitude alpine site (Col du Lac Blanc, France, 2720 m a.s.l), Earth System Science Data, 11(2019), 57-69, https://doi.org/10.5194/essd-11-57-2019. The following acknowledging sentence should appear in publications using Cryobs-Clim-CLB data and products: ""Cryobs-Clim Col du Lac Blanc is funded by Meteo France, Irstea, the Institut National des Sciences de l’Univers (INSU/CNRS), and the Observatoire des Sciences de l’Univers de Grenoble (OSUG / Université Grenoble Alpes)â€. You are invited to contact the PI(s) or lead scientist for more information about the data and to include the acknowledgement sentence in any publication using the data.","This dataset is part of the Cryobs-Clim-CLB (CRYosphere, an OBServatory of the CLIMate – Col du Lac Blanc) observatory",mds,True,findable,0,0,1,0,0,2018-04-09T10:16:38.000Z,2018-04-09T10:16:38.000Z,inist.osug,jbru,"SAFRAN air temperature (K),SAFRAN specific humidity (kg/kg),SAFRAN wind speed (m/s),SAFRAN wind direction (deg),SAFRAN downward longwave radiation (W/m²),SAFRAN downward direct shortwave radiation (W/m2),SAFRAN downward diffuse shortwave radiation (W/m2),SAFRAN nebulosity (-),SAFRAN rainfall rate (kg/m2/s),SAFRAN snowfall rate (kg/m2/s)","[{'subject': 'SAFRAN air temperature (K)', 'subjectScheme': 'main'}, {'subject': 'SAFRAN specific humidity (kg/kg)', 'subjectScheme': 'main'}, {'subject': 'SAFRAN wind speed (m/s)', 'subjectScheme': 'main'}, {'subject': 'SAFRAN wind direction (deg)', 'subjectScheme': 'main'}, {'subject': 'SAFRAN downward longwave radiation (W/m²)', 'subjectScheme': 'main'}, {'subject': 'SAFRAN downward direct shortwave radiation (W/m2)', 'subjectScheme': 'main'}, {'subject': 'SAFRAN downward diffuse shortwave radiation (W/m2)', 'subjectScheme': 'main'}, {'subject': 'SAFRAN nebulosity (-)', 'subjectScheme': 'main'}, {'subject': 'SAFRAN rainfall rate (kg/m2/s)', 'subjectScheme': 'main'}, {'subject': 'SAFRAN snowfall rate (kg/m2/s)', 'subjectScheme': 'main'}]",,['CSV']
+10.5281/zenodo.4757636,Figs. 1–4 in Morphology And Systematic Position Of Two Leuctra Species (Plecoptera: Leuctridae) Believed To Have No Specilla,Zenodo,2014,,Image,"Creative Commons Attribution 4.0 International,Open Access","Figs. 1–4. Leuctra bidula. Male abdomen: 1, Dorsal. 2, Lateral. 3, Ventral, Sternite IX. Female abdomen: 4, Ventral, showing the pregenital and subgenital plates (1-4 after Aubert 1962).",mds,True,findable,0,0,2,0,0,2021-05-13T16:06:29.000Z,2021-05-13T16:06:30.000Z,cern.zenodo,cern,"Biodiversity,Taxonomy,Animalia,Arthropoda,Insecta,Plecoptera,Leuctridae,Leuctra","[{'subject': 'Biodiversity'}, {'subject': 'Taxonomy'}, {'subject': 'Animalia'}, {'subject': 'Arthropoda'}, {'subject': 'Insecta'}, {'subject': 'Plecoptera'}, {'subject': 'Leuctridae'}, {'subject': 'Leuctra'}]",,
10.48537/hal-03220295,"Resonant Spaces, The Sound created by Space and the Space created by Sound",Reseau International Ambiances,2020,en,Text,Creative Commons Attribution Non Commercial No Derivatives 2.0 Generic,"From the interaction between sound and space, the dimension of soundspace emerges. This research project and its series of artworks focuses on the æsthetic, and social aspects of soundspace as a means to create alternative and subjective narratives, to re-signify and deconstruct the memory of space and the architecture that sustains it. The paper revise the concepts of space and sound in architecture, social sciences and sonic arts of the 20th century, trying to create a link between these diverse practices and theories. Understanding that a major shift in all this disciplines occurred when sound and space coalesce. “Resonant Spaces†takes this tradition an applies to a series of art pieces.",mds,True,findable,0,0,0,0,0,2021-06-17T16:48:55.000Z,2021-06-17T16:48:56.000Z,jbru.aau,jbru,"Soundspace,Architecture,FOS: Civil engineering,Performance,Critical Spatial Practice","[{'lang': 'eng', 'subject': 'Soundspace'}, {'lang': 'eng', 'subject': 'Architecture'}, {'subject': 'FOS: Civil engineering', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'lang': 'eng', 'subject': 'Performance'}, {'lang': 'eng', 'subject': 'Critical Spatial Practice'}]",['6 pages'],['application/pdf']
-10.18709/perscido.2021.11.ds357,The VLSAT-2 (Very Large SAT) Benchmark Suite,PerSCiDo,2021,en,Dataset,,"The VLSAT-2 benchmark suite (where ""VL"" stands for ""Very Large"") is a collection of 100 SAT formulas to be used as benchmarks in scientific experiments and software competitions. These SAT formulas have been obtained from the automatic conversion into Nested-Unit Petri Nets (NUPNs) of a large collection of Petri nets modelling real-life problems, such as communication protocols and concurrent systems. 25% of the VLSAT-2 benchmarks have been selected by the organizers of recent SAT competitions: 7 satisfiable and 7 unsatisfiable formulas have been chosen for the SAT Competition 2020, and 5 satisfiable and 8 unsatisfiable formulas have been chosen for the SAT Competition 2021.",fabrica,True,findable,0,0,0,0,0,2021-11-23T15:49:21.000Z,2021-11-23T15:49:21.000Z,inist.persyval,vcob,Computer science,"[{'lang': 'en', 'subject': 'Computer science'}]",['4 GB'],['SMT-LIB v2.6']
-10.18709/perscido.2020.01.ds280,VocADomA4H -- Acoustic recordings,PerSciDo,2020,en,Dataset,,This repository contains the acoustics signals of the Vocadom@A4H dataset : https://gricad-gitlab.univ-grenoble-alpes.fr/getalp/vocadoma4h/. This part of the data is restricted but can be accessed by signing a form,fabrica,True,findable,0,0,0,0,0,2020-01-15T09:30:09.000Z,2020-01-15T09:30:09.000Z,inist.persyval,vcob,Computer Science,"[{'lang': 'en', 'subject': 'Computer Science'}]",,['wav files']
-10.48537/hal-03220371,"Sensitive Topologies Configurations in the Milieu and the Urban Landscape, What You Feel Is What You Get",Reseau International Ambiances,2020,en,Text,Creative Commons Attribution Non Commercial No Derivatives 2.0 Generic,"Usually, in questions relating to the landscape, especially the urban one, three sensitive modalities are mobilised in the configurations specific to particular lived situations: the visible, the audible and the tangible. The tangible one is often assumed to be intrinsically linked to the visible modality by visuo-haptic coupling. However, on the basis of the study of concrete cases, and through the paradigm of sensitive topology, we have been given to note that the visible and the tangible are not always linked. Whether in domestic situations of inhabiting, or in public situations. The paradigm of sensitive topology phenomenologically deconstructs the notions of milieu and urban landscape by facilitating the analysis of lived situations.",mds,True,findable,0,0,0,0,0,2021-06-17T16:46:53.000Z,2021-06-17T16:46:54.000Z,jbru.aau,jbru,"Sensitive Topologies,Visuo-Haptic Coupling,Territoriality,Urban Design","[{'lang': 'eng', 'subject': 'Sensitive Topologies'}, {'lang': 'eng', 'subject': 'Visuo-Haptic Coupling'}, {'lang': 'eng', 'subject': 'Territoriality'}, {'lang': 'eng', 'subject': 'Urban Design'}]",['6 pages'],['application/pdf']
-10.5281/zenodo.10205606,TEAL WCA: climate data platform for planning solar photovoltaic and wind energy resources in West and Central Africa,Zenodo,2023,,Text,Creative Commons Attribution 4.0 International,"This data platform entitled 'TEAL WCA: climate data platform for planning solar photovoltaic and wind energy resources in West and Central Africa' is a presentation of climate and energy resources data for two Sub-Saharan African regions. Climate change is now a fact and African countries are more vulnerable. To better prepare for mitigation and adaptation, projection information is needed. The challenge of climate model data output is that they are available at the global level and are associated with some biases. This makes studies at the country or sub-county level difficult especially impact study. This study aims to (i) downscale, (ii) bias-adjust, (iii) aggregate at country and sub-country levels, and (iv) estimate the wind power and solar power potential. Moreover, a database platform is built to make the prepared climate data and estimated energy potential dataset freely available for researchers, universities, and decision-makers in West and Central African countries. This manuscript presents the performance of the approach and the distribution of climate and energy variables. ",api,True,findable,0,0,0,0,0,2023-11-25T10:37:08.000Z,2023-11-25T10:37:08.000Z,cern.zenodo,cern,,,,
-10.18709/perscido.2018.11.ds155,UV and visible fluorescence images of maize stem: macroscopy and confocal microscopy,PerSciDo,2018,en,Dataset,,Fluorescence Macroscopy is a full field imaging system at low magnification. The interest is to rapidly observe large fields of view (~5x5 mm²). Fluorescence filters are used that select excitation and emission ranges of wavelengths. The spectral resolution is low. Confocal microscopy equipped with a spectral detector and several excitation lasers allows to acquire hyperspectral images. The spectral resolution is around 6-10 nm. The field of view is small and is about 500 x500 µm² with a good spatial resolution. The fusion or the multiset analysis of the two kinds of images should provide a link between the two scales of observation and therefore a strategy to develop multiscale acquisition.,api,True,findable,0,0,0,1,0,2018-11-30T10:02:27.000Z,2018-11-30T10:02:27.000Z,inist.persyval,vcob,"Biology,Biochemistry","[{'lang': 'en', 'subject': 'Biology'}, {'lang': 'en', 'subject': 'Biochemistry'}]",['400 MB'],"['png', 'docx']"
-10.48537/hal-03220354,"Physical/Digital Spaces Collisions. So What?, Session 9 – Introduction",Reseau International Ambiances,2020,en,Text,Creative Commons Attribution Non Commercial No Derivatives 2.0 Generic,,mds,True,findable,0,0,0,0,0,2021-06-17T16:48:26.000Z,2021-06-17T16:48:27.000Z,jbru.aau,jbru,,,['1 pages'],['application/pdf']
-10.18709/perscido.2018.07.ds225,Physical and morphological parameters of two Antarctic polar sites : Dome C and Lock In,PerSciDo,2018,en,Dataset,Creative Commons Attribution Non Commercial Share Alike 4.0 International,"This dataset contains all parameters measured or determined in Burr, A., Ballot, C., Lhuissier, P., Martinerie, P., Martin, C. L., and Philip, A.: Pore morphology of polar firn around closure revealed by X-ray tomography, The Cryosphere Discuss, 2018. It contains for both Dome C and Lock In sites (Antarctic plateau) various parameters of the pores embedded in firn, and were obtained by X-ray tomography : the closed porosity ratio, connectivity index, specific surface area, surface-to-volume ratio, but also other parameters related to the pore structure. In particular, the connectivity index was used to predict the close-off depth and density.",api,True,findable,0,0,0,1,0,2018-07-10T12:00:37.000Z,2018-07-10T12:00:37.000Z,inist.persyval,vcob,"Materials Science,Glaciology","[{'lang': 'en', 'subject': 'Materials Science'}, {'lang': 'en', 'subject': 'Glaciology'}]",['5 kB'],['csv']
-10.18709/perscido.2022.05.ds367,"Snow properties in Antarctica, Canada and the Alps for microwave emission and backscatter modeling",PerSCiDo,2022,en,Dataset,,"This dataset gathers measurements of snow properties (density, specific surface area and temperature) and microwave brightness temperature data from Antarctica and Canada, and snow microstructure properties (chord length distribution, ice fractional volume) derived from micro-CT imagery from the Alps. This dataset was established to run and evaluate microwave scattering simulations.",fabrica,True,findable,0,0,0,1,0,2022-05-04T14:09:09.000Z,2022-05-04T14:09:10.000Z,inist.persyval,vcob,Glaciology,"[{'lang': 'en', 'subject': 'Glaciology'}]",['10Mo'],
-10.48537/hal-03220340,"Inhabiting Insecurity. Practices and Representations, Session 8 – Introduction",Reseau International Ambiances,2020,en,Text,Creative Commons Attribution Non Commercial No Derivatives 2.0 Generic,,mds,True,findable,0,0,0,0,0,2021-06-17T20:55:10.000Z,2021-06-17T20:55:11.000Z,jbru.aau,jbru,,,['2 pages'],['application/pdf']
-10.18709/perscido.2023.12.ds403,Data repository of the paper by Schwartz et al. in Communications earth & environment,PerSCiDO,2023,,Dataset,,"This data repository provides the seismic data used in the paper by Schwartz et al. ""Role of mantle indentation in collisional deformation evidenced by deep geophysical imaging of Western Alps"". ",api,True,findable,0,0,0,0,0,2023-12-11T10:01:56.000Z,2023-12-11T10:01:56.000Z,inist.persyval,vcob,"Geology,FOS: Earth and related environmental sciences","[{'subject': 'Geology', 'subjectScheme': 'http://www.radar-projekt.org/display/Geological_Sciences'}, {'subject': 'FOS: Earth and related environmental sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}]",['10 Mo'],
-10.48537/hal-03220346,"Symbiotic Atmospheres, Following the Actors in the More than Human Network of an Urban Home Garden",Reseau International Ambiances,2020,en,Text,Creative Commons Attribution Non Commercial No Derivatives 2.0 Generic,"The practice of urban home gar- dening has become popular in recent years in the city of Volos. In this practice, habits and cultural deposits meet with contemporary environmental concerns and ethics. But how actors and their agencies are networked in an urban home garden of a medium-scaled Greek city today? How is this nature-culture mapped? With theoretical pillar the work of Bruno Latour and the Actor Network Theory, this research explores the symbiotic atmospheres of human and nonhuman entities, ideas, values and perspectives, as they form pockets of biodiversity, interdependence, care, cultural expression, and present a different face of the city in the Anthropocene era.",mds,True,findable,0,0,0,0,0,2021-06-17T16:48:12.000Z,2021-06-17T16:48:13.000Z,jbru.aau,jbru,"Urban Home Garden,ANT,Nature-culture,No Human,Human,Care","[{'lang': 'eng', 'subject': 'Urban Home Garden'}, {'lang': 'eng', 'subject': 'ANT'}, {'lang': 'eng', 'subject': 'Nature-culture'}, {'lang': 'eng', 'subject': 'No Human'}, {'lang': 'eng', 'subject': 'Human'}, {'lang': 'eng', 'subject': 'Care'}]",['6 pages'],['application/pdf']
+10.5281/zenodo.3552836,Rekyt/ssdms_saturation_richness: Accepted version,Zenodo,2019,en,Software,"MIT License,Open Access","Is prediction of species richness from Stacked Species Distribution Models biased by habitat saturation? This repository contains the data and code for our paper: Grenié M., Violle C, Munoz F. * Is prediction of species richness from Stacked Species Distribution Models biased by habitat saturation?<em>. accepted in </em>Ecological Indicators*. How to cite Please cite this compendium as: Grenié M., Violle C, Munoz F., (2019). <em>Compendium of R code and data for Is prediction of species richness from Stacked Species Distribution Models biased by habitat saturation?</em>. Accessed 02 déc. 2019. Online at https://doi.org/10.5281/zenodo.3552836 🔧 How to download or install You can download the compendium as a zip from from this URL: Or you can install this compendium as an R package, `cssdms.saturation.richness, from GitHub with: <pre><code># install.packages(""devtools"") remotes::install_github(""Rekyt/ssdms_saturation_richness"")</code></pre> 💻 How to run the analyses This compendium uses <code>drake</code> to make analyses reproducible. To redo the analyses and rebuild the manuscript run the following lines (from the <code>ssdms_saturation_richness</code> folder): <pre><code># install.packages(""devtools"") pkgload::load_all() # Load all functions included in the package make(saturation_workflow()) # Run Analyses</code></pre> Beware that some code make time a long time to run, and it may be useful to run analyses in parallel. ##You can run the analyses by clicking on the <code>Binder</code> badge: Dependencies As noted in the <code>DESCRPTION</code> files this project depends on: <code>virtualspecies</code>, to simulate species; <code>drake</code>, to execute a reproducible workflow; the <code>tidyverse</code> (<code>dplyr</code>, <code>ggplot2</code>, <code>purrr</code>, and <code>tidyr</code>) for data wrangling; <code>ggpubr</code> to customize plot",mds,True,findable,0,0,0,0,0,2019-11-25T17:36:15.000Z,2019-11-25T17:36:16.000Z,cern.zenodo,cern,"habitat saturation,stacked species distribution model,species richness,predicted presence probabilities,threshold-based presence prediction","[{'subject': 'habitat saturation'}, {'subject': 'stacked species distribution model'}, {'subject': 'species richness'}, {'subject': 'predicted presence probabilities'}, {'subject': 'threshold-based presence prediction'}]",,
+10.5281/zenodo.5570297,Seasonal trajectories of plant-pollinator networks differ along an urbanization gradient - Data and code,Zenodo,2021,en,Dataset,"Creative Commons Attribution 4.0 International,Open Access","Dataset and code used in the article ""Seasonal trajectories of plant-pollinator networks differ along an urbanization gradient"".",mds,True,findable,0,0,0,0,0,2021-10-14T15:59:49.000Z,2021-10-14T15:59:50.000Z,cern.zenodo,cern,"network,urbanization,diversity,plant-pollinator interactions,temporal variability,spatial variability","[{'subject': 'network'}, {'subject': 'urbanization'}, {'subject': 'diversity'}, {'subject': 'plant-pollinator interactions'}, {'subject': 'temporal variability'}, {'subject': 'spatial variability'}]",,
+10.6084/m9.figshare.c.6586643.v1,Digital technologies in routine palliative care delivery: an exploratory qualitative study with health care professionals in Germany,figshare,2023,,Collection,Creative Commons Attribution 4.0 International,"Abstract Objective To explore health care professionals’ (HCPs) perspectives, experiences and preferences towards digital technology use in routine palliative care delivery. Methods HCPs (n = 19) purposively selected from a sample of settings that reflect routine palliative care delivery (i.e. specialized outpatient palliative care, inpatient palliative care, inpatient hospice care in both rural and urban areas of the German states of Brandenburg and Berlin) participated in an explorative, qualitative study using semi-structured interviews. Interview data were analyzed using structured qualitative content analysis. Results Digital technologies are widely used in routine palliative care and are well accepted by HCPs. Central functions of digital technologies as experienced in palliative care are coordination of work processes, patient-centered care, and communication. Especially in outpatient care, they facilitate overcoming spatial and temporal distances. HCPs attribute various benefits to digital technologies that contribute to better coordinated, faster, more responsive, and overall more effective palliative care. Simultaneously, participants preferred technology as an enhancement not replacement of care delivery. HCPs fear that digital technologies, if overused, will contribute to dehumanization and thus significantly reduce the quality of palliative care. Conclusion Digital technology is already an essential part of routine palliative care delivery. While generally perceived as useful by HCPs, digital technologies are considered as having limitations and carrying risks. Hence, their use and consequences must be carefully considered, as they should discreetly complement but not replace human interaction in palliative care delivery.",mds,True,findable,0,0,0,0,0,2023-04-13T12:27:58.000Z,2023-04-13T12:27:58.000Z,figshare.ars,otjm,"59999 Environmental Sciences not elsewhere classified,FOS: Earth and related environmental sciences,69999 Biological Sciences not elsewhere classified,FOS: Biological sciences,Cancer,Science Policy","[{'subject': '59999 Environmental Sciences not elsewhere classified', 'schemeUri': 'http://www.abs.gov.au/ausstats/abs@.nsf/0/6BB427AB9696C225CA2574180004463E', 'subjectScheme': 'FOR'}, {'subject': 'FOS: Earth and related environmental sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': '69999 Biological Sciences not elsewhere classified', 'schemeUri': 'http://www.abs.gov.au/ausstats/abs@.nsf/0/6BB427AB9696C225CA2574180004463E', 'subjectScheme': 'FOR'}, {'subject': 'FOS: Biological sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Cancer'}, {'subject': 'Science Policy'}]",,
+10.48537/hal-03220344,"Sensory Experience, Environmental Experience and Political Engagement, Session 13 – Introduction",Reseau International Ambiances,2020,en,Text,Creative Commons Attribution Non Commercial No Derivatives 2.0 Generic,,mds,True,findable,0,0,0,0,0,2021-06-17T10:16:58.000Z,2021-06-17T10:16:59.000Z,jbru.aau,jbru,,,['3 pages'],['application/pdf']
+10.17178/cryobsclim.cdp.2018.hourlysnow,"Col de Porte, Hourly snow data",CNRS - OSUG - Meteo France,2018,en,Dataset,"Data access and use are ruled by the CRYOBS-CLIM data policy.,Always quote below citation to Lejeune et al. (2019) when using data.
+ Lejeune, Y., Dumont, M., Panel J.-M., Lafaysse, M., Lapalus, P., Le Gac, E., Lesaffre, B. and Morin, S., 57 years (1960-2017) of snow and meteorological observations from a mid-altitude mountain site (Col de Porte, France, 1325 m alt.), Earth System Science Data, 11(2019), 71-88, https://doi.org/10.5194/essd-11-71-2019. The following acknowledging sentence should appear in publications using Cryobs-Clim-CDP data and products: ""Cryobs-Clim Col de Porte is funded by Meteo France, the Institut National des Sciences de l’Univers (INSU/CNRS), and the Observatoire des Sciences de l’Univers de Grenoble (OSUG / Université Grenoble Alpes)â€. You are invited to contact the PI(s) or lead scientist for more information about the data and to include the acknowledgement sentence in any publication using the data.","This dataset is part of the Cryobs-Clim-CDP (CRYosphere, an OBServatory of the CLIMate – Col de Porte) observatory",mds,True,findable,0,0,1,0,0,2018-07-19T07:26:34.000Z,2018-07-19T07:27:38.000Z,inist.osug,jbru,"soil temperature,runoff,snow depth,surface temperature,settling disk height,settling disk temperature,soil moisture,ground flux","[{'subject': 'soil temperature', 'subjectScheme': 'main'}, {'subject': 'runoff', 'subjectScheme': 'main'}, {'subject': 'snow depth', 'subjectScheme': 'main'}, {'subject': 'surface temperature', 'subjectScheme': 'main'}, {'subject': 'settling disk height', 'subjectScheme': 'main'}, {'subject': 'settling disk temperature', 'subjectScheme': 'main'}, {'subject': 'soil moisture', 'subjectScheme': 'main'}, {'subject': 'ground flux', 'subjectScheme': 'main'}]",,['netCDF']
+10.5281/zenodo.1256648,Ripple Complex Experiments Data Set At Ciem Large Scale Wave Flume Within Hydralab + Project.,Zenodo,2018,,Dataset,"Creative Commons Attribution 4.0,Open Access","The RIPCOM experiments (RIPple COMplex experiments) are presented in order to study the ripple growth conditions on large wave flume tests under fine unimodal, coarse unimodal and mixed sands conditions. The main objectives of the experiments is to improve and understand the protocols to perform mixed sediment experiments within the ripple regime and use/improve the equipment developed at Task 9.1 of the COMPLEX Joint Research Activity within Hydralab+. The experiments were carried out in the large scale wave flume CIEM at Universitat Politècnica de Catalunya (UPC), Barcelona.
+The experimental plan is divided in three steps:
+1. Find the optimum wave conditions that ensure ripples (based on measured velocities and previous literature studies) on the study area. Test the targeted waves with unimodal fine sediment (d 50 =0.250 mm) and measure the obtained ripples under the tested conditions. From the obtained measurements, the waves to be used on the next two steps are selected in order to fix the best conditions to produce ripples within the experimental constrains.
+2. The 13 upper cm of the fine sediment is removed and replaced by the coarser sediment (d 50 =0.545 mm). Once that is done the selected waves to be tested are reproduced and the bottom bedforms are measured.
+3. Mix both sediments fine and coarser sand homogeneously in order to repeat the selected wave conditions and measure the ripples growth and evolution under mixed sediment conditions.
+Due to its size, the data set can not be placed on this repository and will be provided on demand. Please contact with the authors or with the data manager of the CIEM installation.",,True,findable,0,0,0,0,0,2018-05-31T13:26:34.000Z,2018-05-31T13:26:34.000Z,cern.zenodo,cern,"large scale experiments,wave flume,mobile bed,ripples,sediment transport","[{'subject': 'large scale experiments'}, {'subject': 'wave flume'}, {'subject': 'mobile bed'}, {'subject': 'ripples'}, {'subject': 'sediment transport'}]",,
+10.6084/m9.figshare.c.6950873,Effects of a physical activity and endometriosis-based education program delivered by videoconference on endometriosis symptoms: the CRESCENDO program (inCRease physical Exercise and Sport to Combat ENDOmetriosis) protocol study,figshare,2023,,Collection,Creative Commons Attribution 4.0 International,"Abstract Background Endometriosis is a chronic disease characterized by growth of endometrial tissue outside the uterine cavity which could affect 200 million women (The term “woman†is used for convenience. Individuals gendered as man or as nonbinary can also suffer from this disease) worldwide. One of the most common symptoms of endometriosis is pelvic chronic pain associated with fatigue. This pain can cause psychological distress and interpersonal difficulties. As for several chronic diseases, adapted physical activity could help to manage the physical and psychological symptoms. The present study will investigate the effects of a videoconference-based adapted physical activity combined with endometriosis-based education program on quality of life, pain, fatigue, and other psychological symptoms and on physical activity. Methods This multicentric randomized-controlled trial will propose to 200 patients with endometriosis to be part of a trial which includes a 6-month program with 45 min to more than 120 min a week of adapted physical activity and/or 12 sessions of endometriosis-based education program. Effects of the program will be compared to a control group in which patients will be placed on a waiting list. All participants will be followed up 3 and 6 months after the intervention. None of the participants will be blind to the allocated trial arm. The primary outcome measure will be quality of life. Secondary outcomes will include endometriosis-related perceived pain, fatigue, physical activity, and also self-image, stereotypes, motivational variables, perceived support, kinesiophobia, basic psychological need related to physical activity, and physical activity barriers. General linear models and multilevel models will be performed. Predictor, moderator, and mediator variables will be investigated. Discussion This study is one of the first trials to test the effects of a combined adapted physical activity and education program for improving endometriosis symptoms and physical activity. The results will help to improve care for patients with endometriosis. Trial registration ClinicalTrials.gov, NCT05831735 . Date of registration: April 25, 2023",mds,True,findable,0,0,0,0,0,2023-11-28T04:40:38.000Z,2023-11-28T04:40:38.000Z,figshare.ars,otjm,"Medicine,Genetics,FOS: Biological sciences,Physiology,Science Policy,Sociology,FOS: Sociology,Biological Sciences not elsewhere classified","[{'subject': 'Medicine'}, {'subject': 'Genetics'}, {'subject': 'FOS: Biological sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Physiology'}, {'subject': 'Science Policy'}, {'subject': 'Sociology'}, {'subject': 'FOS: Sociology', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Biological Sciences not elsewhere classified'}]",,
+10.17178/ohmcv.rea.cev.07-14.1,Pluviometric reanalysis Cévennes-Vivarais,CNRS - OSUG - OREME,2007,en,Dataset,"Data access and use are ruled by the OHMCV data policy.,The following acknowledging sentence should appear in publications using OHMCV data and products: ""OHMCV is funded by the Institut National des Sciences de l’Univers (INSU/CNRS) and the Observatoire des Sciences de l’Univers de Grenoble (OSUG / Université Grenoble Alpes)â€.",Hourly maps with a 1 km² resolution were produced for a selection of the most intense rainy days of period 2007-2012.,mds,True,findable,0,0,1,0,0,2017-03-10T17:09:28.000Z,2017-03-10T17:09:28.000Z,inist.osug,jbru,"Atmospheric conditions,Rain,Geographic Regions,Value-added dataset","[{'subject': 'Atmospheric conditions', 'subjectScheme': 'main'}, {'subject': 'Rain', 'subjectScheme': 'main'}, {'subject': 'Geographic Regions', 'subjectScheme': 'main'}, {'subject': 'Value-added dataset', 'subjectScheme': 'main'}]",,"['CSV', 'ESRI Grid', 'NETCDF']"
+10.5061/dryad.jq2bvq8bm,Metabarcoding data reveal vertical multitaxa variation in topsoil communities during the colonization of deglaciated forelands,Dryad,2022,en,Dataset,Creative Commons Zero v1.0 Universal,"Ice-free areas are increasing worldwide due to the dramatic glacier shrinkage and are undergoing rapid colonization by multiple lifeforms, thus representing key environments to study ecosystem development. Soils have a complex vertical structure. However, we know little about how microbial and animal communities differ across soil depths and development stages during the colonization of deglaciated terrains, how these differences evolve through time, and whether patterns are consistent among different taxonomic groups. Here, we used environmental DNA metabarcoding to describe how community diversity and composition of six groups (Eukaryota, Bacteria, Mycota, Collembola, Insecta, Oligochaeta) differ between surface (0-5 cm) and relatively deep (7.5-20 cm) soils at different stages of development across five Alpine glaciers. Taxonomic diversity increased with time since glacier retreat and with soil evolution; the pattern was consistent across different groups and soil depths. For Eukaryota, and particularly Mycota, alpha-diversity was generally the highest in soils close to the surface. Time since glacier retreat was a more important driver of community composition compared to soil depth; for nearly all the taxa, differences in community composition between surface and deep soils decreased with time since glacier retreat, suggesting that the development of soil and/or of vegetation tends to homogenize the first 20 cm of soil through time. Within both Bacteria and Mycota, several molecular operational taxonomic units were significant indicators of specific depths and/or soil development stages, confirming the strong functional variation of microbial communities through time and depth. The complexity of community patterns highlights the importance of integrating information from multiple taxonomic groups to unravel community variation in response to ongoing global changes.",mds,True,findable,93,6,0,2,0,2023-01-19T15:23:50.000Z,2023-01-19T15:23:51.000Z,dryad.dryad,dryad,"Environmental DNA,Insects,glacier retreat,Hill’s number,beta-diversity,soil depth,springtails,Earthworms,micro-organisms,FOS: Earth and related environmental sciences,FOS: Earth and related environmental sciences","[{'subject': 'Environmental DNA'}, {'subject': 'Insects', 'schemeUri': 'https://github.com/PLOS/plos-thesaurus', 'subjectScheme': 'PLOS Subject Area Thesaurus'}, {'subject': 'glacier retreat'}, {'subject': 'Hill’s number'}, {'subject': 'beta-diversity'}, {'subject': 'soil depth'}, {'subject': 'springtails'}, {'subject': 'Earthworms', 'schemeUri': 'https://github.com/PLOS/plos-thesaurus', 'subjectScheme': 'PLOS Subject Area Thesaurus'}, {'subject': 'micro-organisms'}, {'subject': 'FOS: Earth and related environmental sciences', 'subjectScheme': 'fos'}, {'subject': 'FOS: Earth and related environmental sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}]",['22185076 bytes'],
10.48537/hal-03220271,"The Architecture of the Virtual, An Encounter between Cognitive Neurosciences and Architecture",Reseau International Ambiances,2020,en,Text,Creative Commons Attribution Non Commercial No Derivatives 2.0 Generic,"The philosophies of substance presuppose a subject which then encounters a datum. This subject then reacts to the datum. The process ontology presupposes a datum (firstness) which is met with feelings (second- ness), and progressively attains the unity of a subject (thirdness). It is in this sense that our bodily experience is primarily an experience of the dependence of the actual presentational immediacy upon the virtual causal efficacy, and not the other way round. To put it bluntly, the world does not emerge from the subject, but processes of subjectification emerge from the interactions between the body and world. The chapter is meant to provide the basis for the panel that will stage an encounter between cognitive neurosciences and architecture.",mds,True,findable,0,0,0,0,0,2021-06-17T20:45:47.000Z,2021-06-17T20:45:48.000Z,jbru.aau,jbru,"Architecture,FOS: Civil engineering,Virtuality,Atmospheres,Neuro-sciences,Brain,Fold,Sense","[{'lang': 'eng', 'subject': 'Architecture'}, {'subject': 'FOS: Civil engineering', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'lang': 'eng', 'subject': 'Virtuality'}, {'lang': 'eng', 'subject': 'Atmospheres'}, {'lang': 'eng', 'subject': 'Neuro-sciences'}, {'lang': 'eng', 'subject': 'Brain'}, {'lang': 'eng', 'subject': 'Fold'}, {'lang': 'eng', 'subject': 'Sense'}]",['6 pages'],['application/pdf']
-10.18709/perscido.2023.06.ds392,"The optical shape of natural snow computed with a ray-tracing model. Data from Robledano et al.: Unraveling the optical shape of snow, 2023.",PerSCiDO,2023,,Dataset,,"This dataset contains the simulation results computed with the RSRT model over natural snow samples.
+10.5281/zenodo.5849861,agnpy: an open-source python package modelling the radiative processes of jetted active galactic nuclei,Zenodo,2022,,Software,Open Access,This repository contains the scripts to generate the figures included in the paper 'agnpy: an open-source python package modelling the radiative processes of jetted active galactic nuclei'.,mds,True,findable,0,0,0,1,0,2022-01-14T13:52:28.000Z,2022-01-14T13:52:29.000Z,cern.zenodo,cern,"radiative processes,blazars,radio galaxies,AGN,jets,MWL,astropy,numpy,python","[{'subject': 'radiative processes'}, {'subject': 'blazars'}, {'subject': 'radio galaxies'}, {'subject': 'AGN'}, {'subject': 'jets'}, {'subject': 'MWL'}, {'subject': 'astropy'}, {'subject': 'numpy'}, {'subject': 'python'}]",,
+10.15778/resif.fr,"RESIF-RLBP French Broad-band network, RESIF-RAP strong motion network and other seismic stations in metropolitan France",RESIF - Réseau Sismologique et géodésique Français,1995,en,Dataset,"Open Access,Creative Commons Attribution 4.0 International","The FR network code embraces most of the permanent seismic stations installed in metropolitan France and operated by academic research institutes and observatories. In 2014, it includes 1) about fifty broadband stations of the RLBP (Réseau Large Bande Permanent) network, 2) about fourty short period stations of the historical RéNaSS (Réseau National de Surveillance Sismique) network, 3) six broadband stations installaed at the LSBB -low noise underground multidisciplinary laboratory-, 4) some broadband stations on landslides managed by OMIV (Observatoire Multidiciplinaire des Instabilités de Versants) and 5) the ANTARES seafloor broadband station in the Ligurian sea. Some of these broadband stations also host a strong motion sensor of the RAP French strong motion network. Broadband stations of the RLBP are part of the national RESIF (Réseau Sismologique et géodésique Français) Research Infrastructure. Within this framework, this network is planned to evolve toward a denser and more homogeneous network of ~150 broadband stations by 2018. Each broadband station is equipped with a wide band seismic sensor, usually having a flat response at periods lower than 120s, and a high dynamic acquisition system. Data are collected in near real-time via DSL, satellite or cellar links. Emphasis is put on the continuity of the records and the noise level at the sites to provide high-quality data to the end users. The RESIF Information System manages the data from the broadband stations and collocated accelerometers and freely provides both real time and consolidated data. Quality control of waveforms and metadata updating are performed by EOST (Strasbourg) and OCA (Nice) for the RLBP, RéNaSS, LSSB and ANTARES stations and by OSUG (Grenoble) for the OMIV and RAP stations. Archiving and distribution of every data are carried out by the RESIF datacentre hosted by the University of Grenoble Alpes. Data from short period stations are expected to integrate the system in 2015. All together, these data are used for a wide variety of fundamental and applied studies including seismic imaging of the deep earth, monitoring of the seismic activity in metropolitan France and adjacent regions, source studies of local, regional and teleseismic earthquakes or monitoring of seismic signals related to subsurface processes.",mds,True,findable,0,0,0,25,0,2014-12-05T15:20:35.000Z,2014-12-05T15:20:35.000Z,inist.resif,vcob,"Broad Band,Short Period,Strong motion,France","[{'subject': 'Broad Band'}, {'subject': 'Short Period'}, {'subject': 'Strong motion'}, {'subject': 'France'}]",['Approximately 155 active stations; greater than 7.5 GB/day.'],"['Miniseed data', 'stationXML metadata']"
+10.18709/perscido.2017.12.ds166,"F-TRACT, ATLAS Decembre 2017",PerSciDo,2017,en,Dataset,Creative Commons Attribution Non Commercial No Derivatives 4.0 International,"Connectivity probability with associated p-values as well as features describing fibers biophysical properties, estimated from CCEP data recorded in 213 patients, in the MarsAtlas, Brodmann, AAL and MaxProbMap parcellation schemes. The CCEP features are: peak and onset latency (LatStart), amplitude, integral, duration and the velocity estimated from the onset latency and the fibers distance between the parcels. Features maps : Images representing the connectivity probablility and response features for all the regions in the MarsAtlas parcellation.",api,True,findable,0,0,0,0,0,2018-06-12T12:36:39.000Z,2018-06-12T12:36:39.000Z,inist.persyval,vcob,"Computer Science,Medicine","[{'lang': 'en', 'subject': 'Computer Science'}, {'lang': 'en', 'subject': 'Medicine'}]",['500 MB'],['csv']
+10.17178/emaa_(13c)h-plus_rotation_4b641db0,Rotation excitation of [13C]H+ by H and electron collisions,"UGA, CNRS, CNRS-INSU, OSUG",2021,en,Dataset,"Please acknowledge the use of EMAA Database by citing the original articles in which the data were published (BibTeX format available), and adding the following sentence in your publication:
+This research has made use of spectroscopic and collisional data from the EMAA database (https://emaa.osug.fr). EMAA is supported by the Observatoire des Sciences de l'Univers de Grenoble (OSUG),Creative Commons Attribution 4.0 International,Data access and use are ruled by the EMAA data policy.",12 rotation energy levels / 11 radiative transitions / 91 collisional transitions for H (12 temperatures in the range 10-3000K) / 60 collisional transitions for electron (12 temperatures in the range 10-3000K),mds,True,findable,0,0,0,0,0,2021-11-18T13:34:26.000Z,2021-11-18T13:34:27.000Z,inist.osug,jbru,"target [13C]H+,excitationType Rotation,collisional excitation,collider.0 H,collider.1 electron,astrophysics,interstellar medium,comets,circumstellar medium,gas,microwave spectroscopy,infrared spectroscopy,rotational excitation,rovibrational excitation,vibrational excitation,electronic excitation,collisional rate coefficients,fine structure,hyperfine structure","[{'subject': 'target [13C]H+', 'subjectScheme': 'main'}, {'subject': 'excitationType Rotation', 'subjectScheme': 'main'}, {'subject': 'collisional excitation', 'subjectScheme': 'main'}, {'subject': 'collider.0 H', 'subjectScheme': 'var'}, {'subject': 'collider.1 electron', 'subjectScheme': 'var'}, {'subject': 'astrophysics', 'subjectScheme': 'var'}, {'subject': 'interstellar medium', 'subjectScheme': 'var'}, {'subject': 'comets', 'subjectScheme': 'var'}, {'subject': 'circumstellar medium', 'subjectScheme': 'var'}, {'subject': 'gas', 'subjectScheme': 'var'}, {'subject': 'microwave spectroscopy', 'subjectScheme': 'var'}, {'subject': 'infrared spectroscopy', 'subjectScheme': 'var'}, {'subject': 'rotational excitation', 'subjectScheme': 'var'}, {'subject': 'rovibrational excitation', 'subjectScheme': 'var'}, {'subject': 'vibrational excitation', 'subjectScheme': 'var'}, {'subject': 'electronic excitation', 'subjectScheme': 'var'}, {'subject': 'collisional rate coefficients', 'subjectScheme': 'var'}, {'subject': 'fine structure', 'subjectScheme': 'var'}, {'subject': 'hyperfine structure', 'subjectScheme': 'var'}]",,['Radex']
+10.48537/hal-03220296,Phantasmagorias of the Post-Colonial Interiors,Reseau International Ambiances,2020,en,Text,Creative Commons Attribution Non Commercial No Derivatives 2.0 Generic,"Benjamin has stated in his Arcades Project, under “Louis P..., or the Interiorâ€, that “[t]he irreal center makes its place in the home†(Benjamin, W. The Arc. P. 1999, 9). For much of the bourgeois homes of today, the vestiges [Spurren] of an exoticism gave the private man the atmosphere of “a box [Kasten] in the theatre of the world†(ibid.). Later, the Jugendstijl made of homes an illusory, stylish setting and the interior into a Wunderkammer. This paper focuses on such a lineage, from ornaments to souvenirs, from arty to do-it- yourself, which now, in ex-colonialist nations, bring a collection of naturalistic-memories and ethno-nostalgia, mingled with a high-tech ultra-modern air, within a sense of hybrid visions of tribalscapes. Nonetheless, they engage in a visible/ invisible complex.",mds,True,findable,0,0,0,0,0,2021-06-17T16:46:55.000Z,2021-06-17T16:46:56.000Z,jbru.aau,jbru,"Post-Colonial,Figuration,Ambivalence","[{'lang': 'eng', 'subject': 'Post-Colonial'}, {'lang': 'eng', 'subject': 'Figuration'}, {'lang': 'eng', 'subject': 'Ambivalence'}]",['6 pages'],['application/pdf']
+10.6084/m9.figshare.23983487.v1,Additional file 2 of Aberrant activation of five embryonic stem cell-specific genes robustly predicts a high risk of relapse in breast cancers,figshare,2023,,Dataset,Creative Commons Attribution 4.0 International,"Additional file 2: Table S1. List of genes with predominant expression in testis, placenta and/or embryonic stem cells. Table S2. Frequencies of ectopic activations of the tissue-specific genes. Table S3. Results of the validation step in the biomarker discovery pipeline. Table S4. Datasets of normal tissues and breast cancers with corresponding sample sizes. Table S5. List of normal tissues and the corresponding sample sizes.",mds,True,findable,0,0,0,0,0,2023-08-18T03:20:43.000Z,2023-08-18T03:20:44.000Z,figshare.ars,otjm,"Medicine,Cell Biology,Genetics,FOS: Biological sciences,Molecular Biology,Biological Sciences not elsewhere classified,Information Systems not elsewhere classified,Mathematical Sciences not elsewhere classified,Developmental Biology,Cancer,Plant Biology","[{'subject': 'Medicine'}, {'subject': 'Cell Biology'}, {'subject': 'Genetics'}, {'subject': 'FOS: Biological sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Molecular Biology'}, {'subject': 'Biological Sciences not elsewhere classified'}, {'subject': 'Information Systems not elsewhere classified'}, {'subject': 'Mathematical Sciences not elsewhere classified'}, {'subject': 'Developmental Biology'}, {'subject': 'Cancer'}, {'subject': 'Plant Biology'}]",['174460 Bytes'],
+10.17178/amma-catch.al.met_g,"Meteorological dataset (including radiative budget and soil variables), within the Gourma site (30 000 km2), Mali","IRD, CNRS-INSU, OSUG, OMP, OREME",2005,en,Dataset,"Creative Commons Attribution 4.0 International,Data access and use are ruled by the AMMA-CATCH data policy.,For any publication using AMMA-CATCH data, authors are asked to:
-It contains all the (B, gG) optical shape parameters results for 33 snow samples over the 400 - 1400 nm wavelength range, as well as other relevant results and the codes needed to reproduce the figures in the associated paper: ""Robledano, A., Picard, G., Dumont, M., Flin, F., Arnaud, L., and Libois, Q.: Unraveling the optical shape of snow, Nat. Comm., 2023"".
+Mandatory: cite the reference article and the DOI of the observatory
-It contains as well the generated geometric shapes (spheres, cubes and a convex shape) used in the associated paper.",api,True,findable,0,0,0,0,0,2023-06-14T10:02:57.000Z,2023-06-14T10:02:57.000Z,inist.persyval,vcob,"Physics,glaciology,Materials Science,Mathematics,FOS: Mathematics,Environmental Science and Ecology","[{'subject': 'Physics', 'subjectScheme': 'http://www.radar-projekt.org/display/Physics'}, {'subject': 'glaciology', 'subjectScheme': 'https://perscido.univ-grenoble-alpes.fr/glaciology'}, {'subject': 'Materials Science', 'subjectScheme': 'http://www.radar-projekt.org/display/Materials_Science'}, {'subject': 'Mathematics', 'subjectScheme': 'http://www.radar-projekt.org/display/Mathematics'}, {'subject': 'FOS: Mathematics', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Environmental Science and Ecology', 'subjectScheme': 'http://www.radar-projekt.org/display/Environmental_Science_and_Ecology'}]",['500 Mo'],"['CSV', '']"
-10.48537/hal-03220288,Designing With Fog,Reseau International Ambiances,2020,en,Text,Creative Commons Attribution Non Commercial No Derivatives 2.0 Generic,"Designing with Fog traces the development of 10 Kinds of Fog: Prototypes, a set of ten ephemeral, dynamic, and environ- mentally-responsive fog sculptures. Developing the installation required that, as designers, we had to find fog – that we go on a journey from seeing fog as a carrier and enabler, to seeing it as a material with properties that can be explored and designed with. It built on a proposal for an immersive, multi-sensorial Fog Garden, in which fogponics carried plant nutrients. Explorations into ways of deliver- ing, shaping and releasing fog in relation to the plants led to an increasing understanding of fog’s own behaviour. Finding fog was thus attuning to changes in buoyancy, litheness and opacity arising from the relationship between materials and the environment.",mds,True,findable,0,0,0,0,0,2021-06-17T10:17:01.000Z,2021-06-17T10:17:02.000Z,jbru.aau,jbru,"Atmospheric Design,Environmental Performance,Installation Art,Materiality","[{'lang': 'eng', 'subject': 'Atmospheric Design'}, {'lang': 'eng', 'subject': 'Environmental Performance'}, {'lang': 'eng', 'subject': 'Installation Art'}, {'lang': 'eng', 'subject': 'Materiality'}]",['6 pages'],['application/pdf']
-10.48537/hal-03220244,A Multi-Dimensional Approach to Ambiance Change Triggers in an Urban Context,Reseau International Ambiances,2020,en,Text,Creative Commons Attribution Non Commercial No Derivatives 2.0 Generic,"This paper focuses on the issue of ambiance change indicators. A series of guided photo tours was carried out in Nantes (West of France). During this guided tour, inhabitants had to identify the changes in ambiance that they are experiencing. We aim to analyze the indicators that trigger a change of ambiance in an urban environment connected to the density or diversity dimensions that characterize the urban environment. The results show that three levels of understanding of urban environments can be identified: a first level shared by all, a second one shared by social groups, and a last one related to the individual. These three-levels of the inhabitants’ definition of urban ambiance anchors enable us to question participation in urban planning.",fabrica,True,findable,0,0,0,0,0,2021-06-16T16:16:26.000Z,2021-06-16T16:16:27.000Z,jbru.aau,jbru,"Urbanity,Ambiance Change Triggers,Guided commentary Tours","[{'lang': 'eng', 'subject': 'Urbanity'}, {'lang': 'eng', 'subject': 'Ambiance Change Triggers'}, {'lang': 'eng', 'subject': 'Guided commentary Tours'}]",['6 pages'],['application/pdf']
-10.48537/hal-03220308,"Raw Materials and Emphasis on Tactile Perceptions to Create Atmospheres, A Tactile Experiment to Explore Bodily Sensations",Reseau International Ambiances,2020,en,Text,Creative Commons Attribution Non Commercial No Derivatives 2.0 Generic,"Vernacular architectures mirror the territory where they are inscribed; contempo- rary architecture seems to be uprooted. As a counterpoint to a trend towards abstraction, can the use of the bio-based materials and the promotion of a tactile and more direct relationship to the world be allies to create architectural spaces that reaffirm a sensitive link to the body and reanimate a genius of the place (Berque, 2016)? “Dressing as a second skin†is the beginning of a serial of tactile experiments who will explore the architectural potential of bio-sourced materials in relation to bodily sensations in a space.",mds,True,findable,0,0,0,0,0,2021-06-17T16:48:40.000Z,2021-06-17T16:48:40.000Z,jbru.aau,jbru,"Touch,Raw Matter,Atmosphere,Bio-Based Materials,Haptic,Materiality,Texture","[{'lang': 'eng', 'subject': 'Touch'}, {'lang': 'eng', 'subject': 'Raw Matter'}, {'lang': 'eng', 'subject': 'Atmosphere'}, {'lang': 'eng', 'subject': 'Bio-Based Materials'}, {'lang': 'eng', 'subject': 'Haptic'}, {'lang': 'eng', 'subject': 'Materiality'}, {'lang': 'eng', 'subject': 'Texture'}]",['6 pages'],['application/pdf']
-10.48537/hal-03220253,"Artificial Lighting and Darkness in the Architectural and Urban Practices, Session 2 – Introduction",Reseau International Ambiances,2020,en,Text,Creative Commons Attribution Non Commercial No Derivatives 2.0 Generic,,fabrica,True,findable,0,0,0,0,0,2021-06-16T16:37:20.000Z,2021-06-16T16:37:20.000Z,jbru.aau,jbru,,,['1 pages'],['application/pdf']
-10.48537/hal-03220375,"Women’s Action of Urban Guerrilla, Methodological Path for an Urban Analysis from a Gender Perspective",Reseau International Ambiances,2020,en,Text,Creative Commons Attribution Non Commercial No Derivatives 2.0 Generic,"The perception of women in the city as a strategy for acknowledging the urban space enabled the development of design practices and experiences such as the Women’s urban Guerrilla in Rio de Janeiro, an ephemeral action to broaden the spectrum of experiences and connect the ambiances felt during a path into physical interventions in the city. In order to develop a methodological path that understands subjectivity as an instrument to bring the collective closer, concepts such as tactical urbanism and its guidelines contributed to the apprehension of space by a body scale and its experiences, as well as to the re-sensitization of design practices and normative urban analysis.",mds,True,findable,0,0,0,0,0,2021-06-17T20:55:08.000Z,2021-06-17T20:55:09.000Z,jbru.aau,jbru,"Ambiances,Gender,Re-Sensitization,Subjectivity,Urban Guerrilla","[{'lang': 'eng', 'subject': 'Ambiances'}, {'lang': 'eng', 'subject': 'Gender'}, {'lang': 'eng', 'subject': 'Re-Sensitization'}, {'lang': 'eng', 'subject': 'Subjectivity'}, {'lang': 'eng', 'subject': 'Urban Guerrilla'}]",['6 pages'],['application/pdf']
-10.48537/hal-03220317,"Sensing Vulnerability, Listening to Urban Atmosphere, The Political Possibility of Participatory Sound Art Practice Within Palermo’s Suburbs",Reseau International Ambiances,2020,en,Text,Creative Commons Attribution Non Commercial No Derivatives 2.0 Generic,"The article discusses how the sonic environment reflects and shapes the atmosphere of vulnerable urban areas. It aims to investigate the potential of critical listening as a tool for attuning and exploring everyday public feelings, and it seeks to engage collaborative sound-art practice as a relevant means for empowering local communities. The contribu- tion provides the outcomes of a case study developed in Palermo at “Quartiere San Giovanni e Paolo†where the author was involved in a public art process as researcher and sound artist, and developed a participa- tory project named Voci Fuori Campo. The action-research uncovered unprecedented perspectives on the relationship between vulnerable neighborhoods, power hierarchies, social inequalities, and gender issues.",fabrica,True,findable,0,0,0,0,0,2021-06-18T12:37:03.000Z,2021-06-18T12:37:03.000Z,jbru.aau,jbru,"Sonic Environment,Social Vulnerability,Participatory Sound Art Practice,Policy Analysis,Design","[{'lang': 'eng', 'subject': 'Sonic Environment'}, {'lang': 'eng', 'subject': 'Social Vulnerability'}, {'lang': 'eng', 'subject': 'Participatory Sound Art Practice'}, {'lang': 'eng', 'subject': 'Policy Analysis'}, {'lang': 'eng', 'subject': 'Design'}]",['6 pages'],['application/pdf']
-10.48537/hal-03220286,"The Agency of Perception, A Perceptual Apparatus as a Tool for Critique and Subversion, Action and Mediation",Reseau International Ambiances,2020,en,Text,Creative Commons Attribution Non Commercial No Derivatives 2.0 Generic,"By exploring a series of perceptual devices, which constituted a notable disci- plinary expansion in the fields of art, architec- ture and design, particularly in the 1960s, the aim of this paper is to present apparatuses as instruments of embodied knowledge. The key proposition is that, situated in a liminal space between æsthethics and politics, perception and action, the discussed devices can be seen as tools of both critical analysis and radical intervention. They act as ‘performative mani- festos’ which by acknowledging the agency of perception and by challenging conventions, reveal alternative spatial, somatic and societal realities, raising ‘atmospheric awareness’ and promoting a co-production of new ecologies.",mds,True,findable,0,0,0,0,0,2021-06-17T09:44:19.000Z,2021-06-17T09:44:20.000Z,jbru.aau,jbru,"Perceptual Apparatus,Radical Practices,Atmospheric Awareness,Immersion","[{'lang': 'eng', 'subject': 'Perceptual Apparatus'}, {'lang': 'eng', 'subject': 'Radical Practices'}, {'lang': 'eng', 'subject': 'Atmospheric Awareness'}, {'lang': 'eng', 'subject': 'Immersion'}]",['6 pages'],['application/pdf']
-10.48537/hal-03220359,"Presencing Atmospheres, Session 10 – Introduction",Reseau International Ambiances,2020,en,Text,Creative Commons Attribution Non Commercial No Derivatives 2.0 Generic,,mds,True,findable,0,0,0,0,0,2021-06-17T16:48:33.000Z,2021-06-17T16:48:34.000Z,jbru.aau,jbru,,,['2 pages'],['application/pdf']
-10.18709/perscido.2017.03.ds55,MobileRGBD,PerSciDo,2017,en,Dataset,Creative Commons Attribution Non Commercial Share Alike 4.0 International,"MobileRGBD is corpus dedicated to low level RGB-D algorithms benchmarking on mobile platform. We reversed the usual corpus recording paradigm. Our goal is to facilitate ground truth annotation and reproducibility of records among speed, trajectory and environmental variations. As we want to get rid of unpredictable human moves, we used dummies in order to play static users in the environment. Interest of dummies resides in the fact that they do not move between two recordings. It is possible to record the same robot move in order to evaluate performance of detection algorithms varying speed. This benchmark corpus is intended for ""low level"" RGB-D algorithm family like 3D-SLAM, body/skeleton tracking or face tracking using a mobile robot.",api,True,findable,0,0,0,1,0,2017-11-03T01:20:06.000Z,2017-11-03T01:20:06.000Z,inist.persyval,vcob,Computer Science,"[{'lang': 'en', 'subject': 'Computer Science'}]",['4 TB'],
-10.25519/6w2g-dr94,Lithological heterogeneities below the KÄ«lauea caldera before its 2018 collapse inferred from ground magnetic anomalies,"OPGC, LMV",2023,,Dataset,Creative Commons Attribution 4.0 International,,fabricaForm,True,findable,0,0,0,0,0,2023-10-03T15:50:30.000Z,2023-10-03T15:50:30.000Z,inist.opgc,jbru,,,,
-10.18709/perscido.2020.01.ds289,ReDFISh multispectral dataset,PerSciDo,2020,en,Dataset,,ReDFISh is a dataset containing multispectral images to help image sensors design. They contain a spectral sampling of reflectance properties of scenes over the absorption range of silicon (400 - 1050 nm). These data are used to simulate raw image acquisitions according to spectral sensitivities of a given image sensor under chosen illumination conditions and exposure setting. They can also be used for color science.,fabrica,True,findable,0,0,0,0,0,2020-01-20T11:43:16.000Z,2020-01-20T11:43:16.000Z,inist.persyval,vcob,"Engineering,Imaging science","[{'lang': 'en', 'subject': 'Engineering'}, {'lang': 'en', 'subject': 'Imaging science'}]",['730.32 MB'],['HDF5 -.h5- - PNG']
-10.5281/zenodo.10341148,Chamois-CompCert with security features described in Monniaux / CPP 2024,Zenodo,2023,en,Software,INRIA Non-Commercial License Agreement,,api,True,findable,0,0,0,0,0,2023-12-10T18:08:44.000Z,2023-12-10T18:08:44.000Z,cern.zenodo,cern,"formally-verified compiler,Coq,software security,canaries,pointer authentication,CompCert,buffer overflow,tail-recursion elimination,compiler optimizations","[{'subject': 'formally-verified compiler'}, {'subject': 'Coq'}, {'subject': 'software security'}, {'subject': 'canaries'}, {'subject': 'pointer authentication'}, {'subject': 'CompCert'}, {'subject': 'buffer overflow'}, {'subject': 'tail-recursion elimination'}, {'subject': 'compiler optimizations'}]",,
-10.48537/hal-03220365,"Urban Atmospheres in Pandemic Times, Between Science Fiction and Reality",Reseau International Ambiances,2020,en,Text,Creative Commons Attribution Non Commercial No Derivatives 2.0 Generic,"March 2020, I find myself in confine- ment at home feeling a myriad of intense emo- tions with the impression of living the scenario of the film Contagion by Steven Soderbergh (2011). I am thinking about this anticipation thriller that describes – or predicts? – similar atmospheres to those that the world is currently going through. The aim of my proposal is to explore some links between the filmic atmospheres of epidemic horror films and urban atmospheres of our daily lives through the emotions they arouse. Through this example that we will analyze, we will discuss whether it is possible to consider science fiction cinema as an investi- gative tool on the way in which contemporary environmental and social changes affect the sensitive world, its atmospheres and the way of living them.",mds,True,findable,0,0,0,0,0,2021-06-17T10:17:17.000Z,2021-06-17T10:17:18.000Z,jbru.aau,jbru,"Filmic Atmospheres,Epidemic Horror Films,Urban Atmospheres,Emotions","[{'lang': 'eng', 'subject': 'Filmic Atmospheres'}, {'lang': 'eng', 'subject': 'Epidemic Horror Films'}, {'lang': 'eng', 'subject': 'Urban Atmospheres'}, {'lang': 'eng', 'subject': 'Emotions'}]",['6 pages'],['application/pdf']
-10.18709/perscido.2023.02.ds382,Championship Value Prediction 1 Public Traces,PerSCiDO,2023,,Dataset,,"The following traces are 135 ""public"" execution traces that were generated for the Championship Value Prediction 1 (https://www.microarch.org/cvp1/cvp1online/contestants.html) that took place with the IEEE/ACM International Symposium on Computer Architecture (ISCA) 2018. There traces contain instructions executed by ARMv8 workloads of interest to CPU design. The traces only contain partial information and are anonymized, in the sense that the program from which a given trace was generated is not available. All traces used in CVP-1 were released to the public domain after CVP-1.
+ (1) Galle et al. (2018). AMMA-CATCH a Critical Zone Observatory in West Africa Monitoring a Region in Transition. Vadose Zone Journal, 17 (1), 18006.
+ (2) AMMA-CATCH (1990). AMMA-CATCH : a hydrological, meteorological and ecological observatory on West Africa. IRD, CNRS-INSU, OSUG, OMP, OREME. doi:10.17178/AMMA-CATCH.all
-This release contains :
-- ./public_traces : 135 traces containing 30M instructions, known as the ""public traces"" as this is what was released to CVP-1 contestants to develop their model
+Optional: cite the DOI of each dataset used.
-Additional information about how to use the traces and the trace format is provided in the README.",api,True,findable,0,0,0,0,0,2023-02-10T14:57:24.000Z,2023-02-10T14:57:24.000Z,inist.persyval,vcob,Computer Science,"[{'subject': 'Computer Science', 'subjectScheme': 'http://www.radar-projekt.org/display/Computer_Science'}]",['40000 Mo'],['']
+Co-authorship: depending on the contribution of the data to the scientific results obtained, the authors should either propose co-authorship to the data providers or at least acknowledge their contribution.","Documentation of micro-meteorological parameters in the sahelian and saharo-sahelian regions. Characterization of the spatial variability of the meteorological variables within the Gourma meso scale site and, in combination with flux measurements, of the soil-vegetation-atmosphere transferts. Data will be used in modelling activities as well as for validation of satellite products.",mds,True,findable,0,0,1,0,0,2018-03-16T15:36:54.000Z,2018-03-16T15:36:54.000Z,inist.osug,jbru,"Radiative balance, PAR, IRT, micrometeorology,Sahelian/Saharan climate,Wind Speed,Diffuse Photosynthetically Active Radiation,Wind Direction,Air Pressure,Soil Heat Flux at depth 5 cm,Air Temperature,Soil Heat Flux at depth 30 cm (2),Relative Humidity,Soil Heat Flux at depth 10 cm,Outgoing Shortwave Radiation,Global Photosynthetically Active Radiation,Outgoing Longwave Radiation,Soil Heat Flux at depth 10 cm (2),Land Surface Temperature,Soil Heat Flux at depth 30 cm,Precipitation Amount,Incoming Shortwave Radiation,Soil Heat Flux at depth 5 cm (2),Incoming Longwave Radiation","[{'subject': 'Radiative balance, PAR, IRT, micrometeorology', 'subjectScheme': 'main'}, {'subject': 'Sahelian/Saharan climate', 'subjectScheme': 'main'}, {'subject': 'Wind Speed', 'subjectScheme': 'var'}, {'subject': 'Diffuse Photosynthetically Active Radiation', 'subjectScheme': 'var'}, {'subject': 'Wind Direction', 'subjectScheme': 'var'}, {'subject': 'Air Pressure', 'subjectScheme': 'var'}, {'subject': 'Soil Heat Flux at depth 5 cm', 'subjectScheme': 'var'}, {'subject': 'Air Temperature', 'subjectScheme': 'var'}, {'subject': 'Soil Heat Flux at depth 30 cm (2)', 'subjectScheme': 'var'}, {'subject': 'Relative Humidity', 'subjectScheme': 'var'}, {'subject': 'Soil Heat Flux at depth 10 cm', 'subjectScheme': 'var'}, {'subject': 'Outgoing Shortwave Radiation', 'subjectScheme': 'var'}, {'subject': 'Global Photosynthetically Active Radiation', 'subjectScheme': 'var'}, {'subject': 'Outgoing Longwave Radiation', 'subjectScheme': 'var'}, {'subject': 'Soil Heat Flux at depth 10 cm (2)', 'subjectScheme': 'var'}, {'subject': 'Land Surface Temperature', 'subjectScheme': 'var'}, {'subject': 'Soil Heat Flux at depth 30 cm', 'subjectScheme': 'var'}, {'subject': 'Precipitation Amount', 'subjectScheme': 'var'}, {'subject': 'Incoming Shortwave Radiation', 'subjectScheme': 'var'}, {'subject': 'Soil Heat Flux at depth 5 cm (2)', 'subjectScheme': 'var'}, {'subject': 'Incoming Longwave Radiation', 'subjectScheme': 'var'}]",,"['CSV', 'NETCDF', 'O&M 1.0']"
+10.6084/m9.figshare.23575372,Additional file 5 of Decoupling of arsenic and iron release from ferrihydrite suspension under reducing conditions: a biogeochemical model,figshare,2023,,Text,Creative Commons Attribution 4.0 International,Authors’ original file for figure 4,mds,True,findable,0,0,0,0,0,2023-06-25T03:11:51.000Z,2023-06-25T03:11:51.000Z,figshare.ars,otjm,"59999 Environmental Sciences not elsewhere classified,FOS: Earth and related environmental sciences,39999 Chemical Sciences not elsewhere classified,FOS: Chemical sciences,Ecology,FOS: Biological sciences,69999 Biological Sciences not elsewhere classified,Cancer","[{'subject': '59999 Environmental Sciences not elsewhere classified', 'schemeUri': 'http://www.abs.gov.au/ausstats/abs@.nsf/0/6BB427AB9696C225CA2574180004463E', 'subjectScheme': 'FOR'}, {'subject': 'FOS: Earth and related environmental sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': '39999 Chemical Sciences not elsewhere classified', 'schemeUri': 'http://www.abs.gov.au/ausstats/abs@.nsf/0/6BB427AB9696C225CA2574180004463E', 'subjectScheme': 'FOR'}, {'subject': 'FOS: Chemical sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Ecology'}, {'subject': 'FOS: Biological sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': '69999 Biological Sciences not elsewhere classified', 'schemeUri': 'http://www.abs.gov.au/ausstats/abs@.nsf/0/6BB427AB9696C225CA2574180004463E', 'subjectScheme': 'FOR'}, {'subject': 'Cancer'}]",['24064 Bytes'],
+10.17178/emaa_para-c3h2_rotation_bcdd4e50,Rotation excitation of para-c-C3H2 by He and para-H2 collisions,"UGA, CNRS, CNRS-INSU, OSUG",2023,en,Dataset,"Please acknowledge the use of EMAA Database by citing the original articles in which the data were published (BibTeX format available), and adding the following sentence in your publication:
+This research has made use of spectroscopic and collisional data from the EMAA database (https://emaa.osug.fr). EMAA is supported by the Observatoire des Sciences de l'Univers de Grenoble (OSUG),Creative Commons Attribution 4.0 International,Data access and use are ruled by the EMAA data policy.",50 rotation energy levels / 115 radiative transitions / 1225 collisional transitions for para-H2 (9 temperatures in the range 5-120K) / 1225 collisional transitions for He (9 temperatures in the range 5-120K),mds,True,findable,0,0,0,0,0,2023-12-07T15:52:07.000Z,2023-12-07T15:52:08.000Z,inist.osug,jbru,"target para-c-C3H2,excitationType Rotation,collisional excitation,collider.0 para-H2,collider.1 He,astrophysics,interstellar medium,comets,circumstellar medium,gas,microwave spectroscopy,infrared spectroscopy,rotational excitation,rovibrational excitation,vibrational excitation,electronic excitation,collisional rate coefficients,fine structure,hyperfine structure","[{'subject': 'target para-c-C3H2', 'subjectScheme': 'main'}, {'subject': 'excitationType Rotation', 'subjectScheme': 'main'}, {'subject': 'collisional excitation', 'subjectScheme': 'main'}, {'subject': 'collider.0 para-H2', 'subjectScheme': 'var'}, {'subject': 'collider.1 He', 'subjectScheme': 'var'}, {'subject': 'astrophysics', 'subjectScheme': 'var'}, {'subject': 'interstellar medium', 'subjectScheme': 'var'}, {'subject': 'comets', 'subjectScheme': 'var'}, {'subject': 'circumstellar medium', 'subjectScheme': 'var'}, {'subject': 'gas', 'subjectScheme': 'var'}, {'subject': 'microwave spectroscopy', 'subjectScheme': 'var'}, {'subject': 'infrared spectroscopy', 'subjectScheme': 'var'}, {'subject': 'rotational excitation', 'subjectScheme': 'var'}, {'subject': 'rovibrational excitation', 'subjectScheme': 'var'}, {'subject': 'vibrational excitation', 'subjectScheme': 'var'}, {'subject': 'electronic excitation', 'subjectScheme': 'var'}, {'subject': 'collisional rate coefficients', 'subjectScheme': 'var'}, {'subject': 'fine structure', 'subjectScheme': 'var'}, {'subject': 'hyperfine structure', 'subjectScheme': 'var'}]",,['Radex']
+10.5281/zenodo.1173088,Results of the ice sheet model initialisation experiments initMIP-Greenland: an ISMIP6 intercomparison,Zenodo,2018,en,Dataset,"Creative Commons Attribution Non Commercial 4.0 International,Open Access","This archive provides the forcing data and ice sheet model output produced as part of the publication ""Design and results of the ice sheet model initialisation experiments initMIP-Greenland: an ISMIP6 intercomparison"", published in The Cryosphere, https://www.the-cryosphere.net/12/1433/2018/ Goelzer, H., Nowicki, S., Edwards, T., Beckley, M., Abe-Ouchi, A., Aschwanden, A., Calov, R., Gagliardini, O., Gillet-Chaulet, F., Golledge, N. R., Gregory, J., Greve, R., Humbert, A., Huybrechts, P., Kennedy, J. H., Larour, E., Lipscomb, W. H., Le clec´h, S., Lee, V., Morlighem, M., Pattyn, F., Payne, A. J., Rodehacke, C., Rückamp, M., Saito, F., Schlegel, N., Seroussi, H., Shepherd, A., Sun, S., van de Wal, R., and Ziemen, F. A.: Design and results of the ice sheet model initialisation experiments initMIP-Greenland: an ISMIP6 intercomparison, The Cryosphere, 12, 1433-1460, 2018, doi:10.5194/tc-12-1433-2018. Contact: Heiko Goelzer, h.goelzer@uu.nl Further information on ISMIP6 and initMIP-Greenland can be found here:<br> http://www.climate-cryosphere.org/activities/targeted/ismip6<br> http://www.climate-cryosphere.org/wiki/index.php?title=InitMIP-Greenland Users should cite the original publication when using all or part of the data. <br> In order to document CMIP6’s scientific impact and enable ongoing support of CMIP, users are also obligated to acknowledge CMIP6, ISMIP6 and the participating modelling groups. <br> *** Important note ***<br> For consistency with future ISMIP6 intercomparison exercises and some observational data sets, we have re-gridded all output to a diagnostic grid following the EPSG:3413 specifications, which differs from the grid originally used to distribute the forcing data. We also provide the forcing data conservatively interpolated to the new grid. <br> Archive overview<br> ----------------<br> README.txt - this information dSMB.zip - The original surface mass balance anomaly forcing data and description<br> dSMB/<br> dsmb_01B13_ISMIP6_v2.nc<br> dsmb_05B13_ISMIP6_v2.nc<br> dsmb_10B13_ISMIP6_v2.nc<br> dsmb_20B13_ISMIP6_v2.nc<br> README_dSMB_v2.txt dSMB_epsg3413.zip - The surface mass balance anomaly forcing data and description, interpolated to the new grid on EPSG:3413<br> dSMB_epsg3413/<br> dsmb_01e3413_ISMIP6_v2.nc<br> dsmb_05e3413_ISMIP6_v2.nc<br> dsmb_10e3413_ISMIP6_v2.nc<br> dsmb_20e3413_ISMIP6_v2.nc<br> README_dSMB_v2_epsg3413.txt <group>_<model>_<experiment>.zip - The model output per group, model and experiment (init, ctrl, asmb)<br> <group1>_<model1>_init/<br> acabf_GIS_<group1>_<model1>_init.nc<br> ...<br> <group1>_<model1>_ctrl/<br> acabf_GIS_<group1>_<model1>_ctrl.nc<br> ...<br> <group1>_<model1>_asmb/<br> acabf_GIS_<group1>_<model1>_asmb.nc<br> ... <group1>_<model2>_init/<br> ...<br> <group1>_<model2>_ctrl/<br> ...<br> <group1>_<model2>_asmb/<br> ... <group2>_<model1>_init/<br> ...<br> <group2>_<model1>_ctrl/<br> ... <br> <group2>_<model1>_asmb/ ... The following script may be used to download the content of the archive. #!/bin/bash<br> wget https://zenodo.org/record/1173088/files/README.txt<br> wget https://zenodo.org/record/1173088/files/dSMB_epsg3413.zip<br> wget https://zenodo.org/record/1173088/files/dSMB.zip<br> <br> for amodel in ARC_PISM AWI_ISSM1 AWI_ISSM2 BGC_BISICLES1 BGC_BISICLES2 BGC_BISICLES3 DMI_PISM1 DMI_PISM2 DMI_PISM3 DMI_PISM4 DMI_PISM5 IGE_ELMER1 IGE_ELMER2 ILTS_SICOPOLIS ILTSPIK_SICOPOLIS IMAU_IMAUICE1 IMAU_IMAUICE2 IMAU_IMAUICE3 JPL_ISSM LANL_CISM LSCE_GRISLI MIROC_ICIES1 MIROC_ICIES2 MPIM_PISM UAF_PISM1 UAF_PISM2 UAF_PISM3 UAF_PISM4 UAF_PISM5 UAF_PISM6 UCIJPL_ISSM ULB_FETISH1 ULB_FETISH2 VUB_GISM1 VUB_GISM2; do wget https://zenodo.org/record/1173088/files/${amodel}_init.zip<br> wget https://zenodo.org/record/1173088/files/${amodel}_ctrl.zip<br> wget https://zenodo.org/record/1173088/files/${amodel}_asmb.zip done",mds,True,findable,4,0,1,0,0,2018-05-25T09:34:51.000Z,2018-05-25T09:34:52.000Z,cern.zenodo,cern,"Model output,ISMIP6,intercomparison,Ice sheet model,Greenland ice sheet,initMIP","[{'subject': 'Model output'}, {'subject': 'ISMIP6'}, {'subject': 'intercomparison'}, {'subject': 'Ice sheet model'}, {'subject': 'Greenland ice sheet'}, {'subject': 'initMIP'}]",,
+10.17178/emaa_para-(15n)h2d_rotation_e7374da5,Rotation excitation of para-[15N]H2D by ortho-H2 and para-H2 collisions,"UGA, CNRS, CNRS-INSU, OSUG",2021,en,Dataset,"Please acknowledge the use of EMAA Database by citing the original articles in which the data were published (BibTeX format available), and adding the following sentence in your publication:
+This research has made use of spectroscopic and collisional data from the EMAA database (https://emaa.osug.fr). EMAA is supported by the Observatoire des Sciences de l'Univers de Grenoble (OSUG),Creative Commons Attribution 4.0 International,Data access and use are ruled by the EMAA data policy.",56 rotation energy levels / 261 radiative transitions / 1540 collisional transitions for para-H2 (13 temperatures in the range 5-300K) / 1540 collisional transitions for ortho-H2 (13 temperatures in the range 5-300K),mds,True,findable,0,0,0,0,0,2021-11-18T13:35:55.000Z,2021-11-18T13:35:55.000Z,inist.osug,jbru,"target para-[15N]H2D,excitationType Rotation,collisional excitation,collider.0 para-H2,collider.1 ortho-H2,astrophysics,interstellar medium,comets,circumstellar medium,gas,microwave spectroscopy,infrared spectroscopy,rotational excitation,rovibrational excitation,vibrational excitation,electronic excitation,collisional rate coefficients,fine structure,hyperfine structure","[{'subject': 'target para-[15N]H2D', 'subjectScheme': 'main'}, {'subject': 'excitationType Rotation', 'subjectScheme': 'main'}, {'subject': 'collisional excitation', 'subjectScheme': 'main'}, {'subject': 'collider.0 para-H2', 'subjectScheme': 'var'}, {'subject': 'collider.1 ortho-H2', 'subjectScheme': 'var'}, {'subject': 'astrophysics', 'subjectScheme': 'var'}, {'subject': 'interstellar medium', 'subjectScheme': 'var'}, {'subject': 'comets', 'subjectScheme': 'var'}, {'subject': 'circumstellar medium', 'subjectScheme': 'var'}, {'subject': 'gas', 'subjectScheme': 'var'}, {'subject': 'microwave spectroscopy', 'subjectScheme': 'var'}, {'subject': 'infrared spectroscopy', 'subjectScheme': 'var'}, {'subject': 'rotational excitation', 'subjectScheme': 'var'}, {'subject': 'rovibrational excitation', 'subjectScheme': 'var'}, {'subject': 'vibrational excitation', 'subjectScheme': 'var'}, {'subject': 'electronic excitation', 'subjectScheme': 'var'}, {'subject': 'collisional rate coefficients', 'subjectScheme': 'var'}, {'subject': 'fine structure', 'subjectScheme': 'var'}, {'subject': 'hyperfine structure', 'subjectScheme': 'var'}]",,['Radex']
+10.5281/zenodo.7499383,"Trajectory files for ""Where does the energy go during the interstellar NH3 formation on water ice? A computational study""",Zenodo,2022,,Dataset,"Creative Commons Attribution 4.0 International,Open Access","CP2K trajectory files for the N+H, NH + H and NH2 + H reactions on the amorphous water ice surface",mds,True,findable,0,0,0,0,0,2023-01-02T15:10:54.000Z,2023-01-02T15:10:55.000Z,cern.zenodo,cern,,,,
+10.48537/hal-03220323,Foreword,Reseau International Ambiances,2020,en,Text,Creative Commons Attribution Non Commercial No Derivatives 2.0 Generic,,fabrica,True,findable,0,0,0,0,0,2021-06-16T15:41:38.000Z,2021-06-16T15:41:38.000Z,jbru.aau,jbru,,,['3 pages'],['application/pdf']
+10.5281/zenodo.7961207,A new inventory of High Mountain Asia surging glaciers derived from multiple elevation datasets since the 1970s,Zenodo,2023,en,Dataset,"Creative Commons Attribution 4.0 International,Open Access","Glacier surging is an unusual undulation instability of ice flow and complete surging glacier inventories are important for regional mass balance studies and assessing glacier-related hazards. Glacier surge events in High Mountain Asia (HMA) are widely reported. Through the estimated elevation changes from multiple DEMs sources that acquired from 1970s to 2020, and morphologic changes from 1986 to 2021, here we present a new surging glacier inventory across HMA. The inventory has incorporated 890 surging and 336 surge-like glaciers, each glacier is assigned with indicators of surging feature and surge possibility. Compared to previous surging glacier inventory in HMA, our inventory is theoretically more complete because of the much longer observation period. This data repository contains the surging glacier inventory and glacier elevation change maps. The inventory is stored in the format of GeoPackage (.gpkg) and ESRI Shapefile format (.shp), which is represented by glacier polygon (from GAMDAM2) or surface point with geometric attributes. The multi-temporal elevation change maps of identified surging glaciers were divided into 1×1° tiles, storing in the format of GeoTiff(*.tif). Detailed description of the dataset including the file contents and attributes information can be found in the metadata file (README.txt).",mds,True,findable,0,0,0,0,0,2023-05-24T04:24:15.000Z,2023-05-24T04:24:16.000Z,cern.zenodo,cern,"High Mountain Asia, Surging glacier inventory, Elevation change, Digital Elevation Model (DEM)","[{'subject': 'High Mountain Asia, Surging glacier inventory, Elevation change, Digital Elevation Model (DEM)'}]",,
+10.48537/hal-03220346,"Symbiotic Atmospheres, Following the Actors in the More than Human Network of an Urban Home Garden",Reseau International Ambiances,2020,en,Text,Creative Commons Attribution Non Commercial No Derivatives 2.0 Generic,"The practice of urban home gar- dening has become popular in recent years in the city of Volos. In this practice, habits and cultural deposits meet with contemporary environmental concerns and ethics. But how actors and their agencies are networked in an urban home garden of a medium-scaled Greek city today? How is this nature-culture mapped? With theoretical pillar the work of Bruno Latour and the Actor Network Theory, this research explores the symbiotic atmospheres of human and nonhuman entities, ideas, values and perspectives, as they form pockets of biodiversity, interdependence, care, cultural expression, and present a different face of the city in the Anthropocene era.",mds,True,findable,0,0,0,0,0,2021-06-17T16:48:12.000Z,2021-06-17T16:48:13.000Z,jbru.aau,jbru,"Urban Home Garden,ANT,Nature-culture,No Human,Human,Care","[{'lang': 'eng', 'subject': 'Urban Home Garden'}, {'lang': 'eng', 'subject': 'ANT'}, {'lang': 'eng', 'subject': 'Nature-culture'}, {'lang': 'eng', 'subject': 'No Human'}, {'lang': 'eng', 'subject': 'Human'}, {'lang': 'eng', 'subject': 'Care'}]",['6 pages'],['application/pdf']
+10.5281/zenodo.4964207,"FIGURES 13–16 in Two new species of Protonemura Kempny, 1898 (Plecoptera: Nemouridae) from the Italian Alps",Zenodo,2021,,Image,Open Access,"FIGURES 13–16. Protonemura bispina sp. n., 13. male, epiproct, lateral view. 14. male, epiproct, lateral view. 15. male terminalia with epiproct, dorsal view. 16. male terminalia, ventral view",mds,True,findable,0,0,5,0,0,2021-06-16T08:25:02.000Z,2021-06-16T08:25:05.000Z,cern.zenodo,cern,"Biodiversity,Taxonomy,Animalia,Arthropoda,Insecta,Plecoptera,Nemouridae,Protonemura","[{'subject': 'Biodiversity'}, {'subject': 'Taxonomy'}, {'subject': 'Animalia'}, {'subject': 'Arthropoda'}, {'subject': 'Insecta'}, {'subject': 'Plecoptera'}, {'subject': 'Nemouridae'}, {'subject': 'Protonemura'}]",,
+10.17178/amma-catch.cl.rain_o,"Precipitation dataset (5 minutes rainfall), 30 long-term stations over the upper Oueme watershed (14 000 km2), Benin","IRD, CNRS-INSU, OSUG, OMP, OREME",1999,en,Dataset,"Creative Commons Attribution 4.0 International,Data access and use are ruled by the AMMA-CATCH data policy.,For any publication using AMMA-CATCH data, authors are asked to:
+
+Mandatory: cite the reference article and the DOI of the observatory
+
+ (1) Galle et al. (2018). AMMA-CATCH a Critical Zone Observatory in West Africa Monitoring a Region in Transition. Vadose Zone Journal, 17 (1), 18006.
+ (2) AMMA-CATCH (1990). AMMA-CATCH : a hydrological, meteorological and ecological observatory on West Africa. IRD, CNRS-INSU, OSUG, OMP, OREME. doi:10.17178/AMMA-CATCH.all
+
+Optional: cite the DOI of each dataset used.
+
+Co-authorship: depending on the contribution of the data to the scientific results obtained, the authors should either propose co-authorship to the data providers or at least acknowledge their contribution.","Documentation of rainfall in the soudanian zone. The aim is to characterize the temporal and spatial variability of rainfall at meso-scale, with a good resolution of the convective scale patterns. Data is used in modelling and assimilation activities, process studies as well as for validation of satellite products.",mds,True,findable,0,0,1,0,0,2018-03-16T15:37:15.000Z,2018-03-16T15:37:16.000Z,inist.osug,jbru,"Rainfall, precipitation, tropical convection,Sudanian climate,Precipitation Amount (previous hour),Precipitation Amount (previous 5 minutes),Precipitation Amount (previous 24 hours)","[{'subject': 'Rainfall, precipitation, tropical convection', 'subjectScheme': 'main'}, {'subject': 'Sudanian climate', 'subjectScheme': 'main'}, {'subject': 'Precipitation Amount (previous hour)', 'subjectScheme': 'var'}, {'subject': 'Precipitation Amount (previous 5 minutes)', 'subjectScheme': 'var'}, {'subject': 'Precipitation Amount (previous 24 hours)', 'subjectScheme': 'var'}]",,"['CSV', 'NETCDF', 'O&M 1.0']"
+10.5061/dryad.k31d4,"Data from: Replication levels, false presences, and the estimation of presence / absence from eDNA metabarcoding data",Dryad,2014,en,Dataset,Creative Commons Zero v1.0 Universal,"Environmental DNA (eDNA) metabarcoding is increasingly used to study the present and past biodiversity. eDNA analyses often rely on amplification of very small quantities or degraded DNA. To avoid missing detection of taxa that are actually present (false negatives), multiple extractions and amplifications of the same samples are often performed. However, the level of replication needed for reliable estimates of the presence/absence patterns remains an unaddressed topic. Furthermore, degraded DNA and PCR/sequencing errors might produce false positives. We used simulations and empirical data to evaluate the level of replication required for accurate detection of targeted taxa in different contexts and to assess the performance of methods used to reduce the risk of false detections. Furthermore, we evaluated whether statistical approaches developed to estimate occupancy in the presence of observational errors can successfully estimate true prevalence, detection probability and false-positive rates. Replications reduced the rate of false negatives; the optimal level of replication was strongly dependent on the detection probability of taxa. Occupancy models successfully estimated true prevalence, detection probability and false-positive rates, but their performance increased with the number of replicates. At least eight PCR replicates should be performed if detection probability is not high, such as in ancient DNA studies. Multiple DNA extractions from the same sample yielded consistent results; in some cases, collecting multiple samples from the same locality allowed detecting more species. The optimal level of replication for accurate species detection strongly varies among studies and could be explicitly estimated to improve the reliability of results.",mds,True,findable,257,33,1,1,0,2014-10-23T19:31:38.000Z,2014-10-23T19:31:40.000Z,dryad.dryad,dryad,"Octolasion cyaneum,Aporrectodea icterica,2011,Occupancy Modelling,Aporrectodea rosea,Aporrectodea longa,Lumbricidae,Lumbricus castaneus,replication levels,Environmental sequences,Lumbricus rubellus,Aporrectodea caliginosa,Dendrodrilus rubidus,species occurrence,Lumbricus terrestris","[{'subject': 'Octolasion cyaneum'}, {'subject': 'Aporrectodea icterica'}, {'subject': '2011'}, {'subject': 'Occupancy Modelling'}, {'subject': 'Aporrectodea rosea'}, {'subject': 'Aporrectodea longa'}, {'subject': 'Lumbricidae'}, {'subject': 'Lumbricus castaneus'}, {'subject': 'replication levels'}, {'subject': 'Environmental sequences'}, {'subject': 'Lumbricus rubellus'}, {'subject': 'Aporrectodea caliginosa'}, {'subject': 'Dendrodrilus rubidus'}, {'subject': 'species occurrence'}, {'subject': 'Lumbricus terrestris'}]",['13212 bytes'],
+10.6084/m9.figshare.22610681,Additional file 1 of Efficacy and auditory biomarker analysis of fronto-temporal transcranial direct current stimulation (tDCS) in targeting cognitive impairment associated with recent-onset schizophrenia: study protocol for a multicenter randomized double-blind sham-controlled trial,figshare,2023,,Text,Creative Commons Attribution 4.0 International,Additional file 1. Ethical approval.,mds,True,findable,0,0,0,0,0,2023-04-13T12:04:21.000Z,2023-04-13T12:04:22.000Z,figshare.ars,otjm,"Medicine,Neuroscience,Physiology,FOS: Biological sciences,Pharmacology,Biotechnology,69999 Biological Sciences not elsewhere classified,Science Policy,111714 Mental Health,FOS: Health sciences","[{'subject': 'Medicine'}, {'subject': 'Neuroscience'}, {'subject': 'Physiology'}, {'subject': 'FOS: Biological sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Pharmacology'}, {'subject': 'Biotechnology'}, {'subject': '69999 Biological Sciences not elsewhere classified', 'schemeUri': 'http://www.abs.gov.au/ausstats/abs@.nsf/0/6BB427AB9696C225CA2574180004463E', 'subjectScheme': 'FOR'}, {'subject': 'Science Policy'}, {'subject': '111714 Mental Health', 'schemeUri': 'http://www.abs.gov.au/ausstats/abs@.nsf/0/6BB427AB9696C225CA2574180004463E', 'subjectScheme': 'FOR'}, {'subject': 'FOS: Health sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}]",['1737833 Bytes'],
+10.17178/emaa_para-h2(18o)_rotation_4ebe92f7,Rotation excitation of para-H2[18O] by H and electron collisions,"UGA, CNRS, CNRS-INSU, OSUG",2022,en,Dataset,"Please acknowledge the use of EMAA Database by citing the original articles in which the data were published (BibTeX format available), and adding the following sentence in your publication:
+This research has made use of spectroscopic and collisional data from the EMAA database (https://emaa.osug.fr). EMAA is supported by the Observatoire des Sciences de l'Univers de Grenoble (OSUG),Creative Commons Attribution 4.0 International,Data access and use are ruled by the EMAA data policy.",27 rotation energy levels / 70 radiative transitions / 351 collisional transitions for H (14 temperatures in the range 5-1500K) / 91 collisional transitions for electron (9 temperatures in the range 10-500K),mds,True,findable,0,0,0,0,0,2022-02-07T11:25:59.000Z,2022-02-07T11:26:00.000Z,inist.osug,jbru,"target para-H2[18O],excitationType Rotation,collisional excitation,collider.0 H,collider.1 electron,astrophysics,interstellar medium,comets,circumstellar medium,gas,microwave spectroscopy,infrared spectroscopy,rotational excitation,rovibrational excitation,vibrational excitation,electronic excitation,collisional rate coefficients,fine structure,hyperfine structure","[{'subject': 'target para-H2[18O]', 'subjectScheme': 'main'}, {'subject': 'excitationType Rotation', 'subjectScheme': 'main'}, {'subject': 'collisional excitation', 'subjectScheme': 'main'}, {'subject': 'collider.0 H', 'subjectScheme': 'var'}, {'subject': 'collider.1 electron', 'subjectScheme': 'var'}, {'subject': 'astrophysics', 'subjectScheme': 'var'}, {'subject': 'interstellar medium', 'subjectScheme': 'var'}, {'subject': 'comets', 'subjectScheme': 'var'}, {'subject': 'circumstellar medium', 'subjectScheme': 'var'}, {'subject': 'gas', 'subjectScheme': 'var'}, {'subject': 'microwave spectroscopy', 'subjectScheme': 'var'}, {'subject': 'infrared spectroscopy', 'subjectScheme': 'var'}, {'subject': 'rotational excitation', 'subjectScheme': 'var'}, {'subject': 'rovibrational excitation', 'subjectScheme': 'var'}, {'subject': 'vibrational excitation', 'subjectScheme': 'var'}, {'subject': 'electronic excitation', 'subjectScheme': 'var'}, {'subject': 'collisional rate coefficients', 'subjectScheme': 'var'}, {'subject': 'fine structure', 'subjectScheme': 'var'}, {'subject': 'hyperfine structure', 'subjectScheme': 'var'}]",,['Radex']
+10.5281/zenodo.5237188,Serbo-Croatian DBnary archive in original Lemon format,Zenodo,2021,,Dataset,"Creative Commons Attribution Share Alike 4.0 International,Open Access","The DBnary dataset is an extract of Wiktionary data from many language editions in RDF Format. Until July 1st 2017, the lexical data extracted from Wiktionary was modeled using the lemon vocabulary. This dataset contains the full archive of all DBnary dumps in Lemon format containing lexical information from Serbo-Croatian language edition, ranging from 16th April 2015 to 1st July 2017. After July 2017, DBnary data has been modeled using the ontolex model and will be available in another Zenodo entry.",mds,True,findable,0,0,0,0,0,2021-08-23T18:31:03.000Z,2021-08-23T18:31:05.000Z,cern.zenodo,cern,"Wiktionary,Lemon,Lexical Data,RDF","[{'subject': 'Wiktionary'}, {'subject': 'Lemon'}, {'subject': 'Lexical Data'}, {'subject': 'RDF'}]",,
+10.17178/amma-catch.cl.pond_nc,"Surface water dataset (pond water level), within the Fakara site (2 000 km2), Niger","IRD, CNRS-INSU, OSUG, OMP, OREME",2003,en,Dataset,"Creative Commons Attribution 4.0 International,Data access and use are ruled by the AMMA-CATCH data policy.,For any publication using AMMA-CATCH data, authors are asked to:
+
+Mandatory: cite the reference article and the DOI of the observatory
+
+ (1) Galle et al. (2018). AMMA-CATCH a Critical Zone Observatory in West Africa Monitoring a Region in Transition. Vadose Zone Journal, 17 (1), 18006.
+ (2) AMMA-CATCH (1990). AMMA-CATCH : a hydrological, meteorological and ecological observatory on West Africa. IRD, CNRS-INSU, OSUG, OMP, OREME. doi:10.17178/AMMA-CATCH.all
+
+Optional: cite the DOI of each dataset used.
+
+Co-authorship: depending on the contribution of the data to the scientific results obtained, the authors should either propose co-authorship to the data providers or at least acknowledge their contribution.",Knowledge of long-term changes in surface water - groundwater recharge processes in response to environmental changes and inter-annual rainfall variability.,mds,True,findable,0,0,1,0,0,2018-03-16T15:37:11.000Z,2018-03-16T15:37:11.000Z,inist.osug,jbru,"Water balance, limnimetry, pond,Sahelian climate,Water Level (from reading sensor),Water Level","[{'subject': 'Water balance, limnimetry, pond', 'subjectScheme': 'main'}, {'subject': 'Sahelian climate', 'subjectScheme': 'main'}, {'subject': 'Water Level (from reading sensor)', 'subjectScheme': 'var'}, {'subject': 'Water Level', 'subjectScheme': 'var'}]",,"['CSV', 'NETCDF', 'O&M 1.0']"
+10.5281/zenodo.10020967,robertxa/pyVertProf: BIC Release,Zenodo,2023,,Software,Creative Commons Attribution 4.0 International,New release with BIC analysis,api,True,findable,0,0,0,0,0,2023-10-19T08:42:31.000Z,2023-10-19T08:42:31.000Z,cern.zenodo,cern,,,,
+10.17178/emaa_h(13c)n_rotation_e05542a3,"Rotation excitation of H[13C]N by He, electron, ortho-H2 and para-H2 collisions","UGA, CNRS, CNRS-INSU, OSUG",2021,en,Dataset,"Please acknowledge the use of EMAA Database by citing the original articles in which the data were published (BibTeX format available), and adding the following sentence in your publication:
+This research has made use of spectroscopic and collisional data from the EMAA database (https://emaa.osug.fr). EMAA is supported by the Observatoire des Sciences de l'Univers de Grenoble (OSUG),Creative Commons Attribution 4.0 International,Data access and use are ruled by the EMAA data policy.",22 rotation energy levels / 21 radiative transitions / 36 collisional transitions for electron (12 temperatures in the range 10-1000K) / 231 collisional transitions for ortho-H2 (12 temperatures in the range 5-500K) / 231 collisional transitions for para-H2 (12 temperatures in the range 5-500K) / 231 collisional transitions for He (25 temperatures in the range 5-500K),mds,True,findable,0,0,0,0,0,2021-11-18T13:34:51.000Z,2021-11-18T13:34:51.000Z,inist.osug,jbru,"target H[13C]N,excitationType Rotation,collisional excitation,collider.0 electron,collider.1 ortho-H2,collider.2 para-H2,collider.3 He,astrophysics,interstellar medium,comets,circumstellar medium,gas,microwave spectroscopy,infrared spectroscopy,rotational excitation,rovibrational excitation,vibrational excitation,electronic excitation,collisional rate coefficients,fine structure,hyperfine structure","[{'subject': 'target H[13C]N', 'subjectScheme': 'main'}, {'subject': 'excitationType Rotation', 'subjectScheme': 'main'}, {'subject': 'collisional excitation', 'subjectScheme': 'main'}, {'subject': 'collider.0 electron', 'subjectScheme': 'var'}, {'subject': 'collider.1 ortho-H2', 'subjectScheme': 'var'}, {'subject': 'collider.2 para-H2', 'subjectScheme': 'var'}, {'subject': 'collider.3 He', 'subjectScheme': 'var'}, {'subject': 'astrophysics', 'subjectScheme': 'var'}, {'subject': 'interstellar medium', 'subjectScheme': 'var'}, {'subject': 'comets', 'subjectScheme': 'var'}, {'subject': 'circumstellar medium', 'subjectScheme': 'var'}, {'subject': 'gas', 'subjectScheme': 'var'}, {'subject': 'microwave spectroscopy', 'subjectScheme': 'var'}, {'subject': 'infrared spectroscopy', 'subjectScheme': 'var'}, {'subject': 'rotational excitation', 'subjectScheme': 'var'}, {'subject': 'rovibrational excitation', 'subjectScheme': 'var'}, {'subject': 'vibrational excitation', 'subjectScheme': 'var'}, {'subject': 'electronic excitation', 'subjectScheme': 'var'}, {'subject': 'collisional rate coefficients', 'subjectScheme': 'var'}, {'subject': 'fine structure', 'subjectScheme': 'var'}, {'subject': 'hyperfine structure', 'subjectScheme': 'var'}]",,['Radex']
+10.17178/amma-catch.pa.sw_snnr,"Soil dataset (soil moisture and temperature profiles), in the Niakhar site (Ragola station), Senegal","IRD, CNRS-INSU, OSUG, OMP, OREME",2018,en,Dataset,"Creative Commons Attribution 4.0 International,Data access and use are ruled by the AMMA-CATCH data policy.,For any publication using AMMA-CATCH data, authors are asked to:
+
+Mandatory: cite the reference article and the DOI of the observatory
+
+ (1) Galle et al. (2018). AMMA-CATCH a Critical Zone Observatory in West Africa Monitoring a Region in Transition. Vadose Zone Journal, 17 (1), 18006.
+ (2) AMMA-CATCH (1990). AMMA-CATCH : a hydrological, meteorological and ecological observatory on West Africa. IRD, CNRS-INSU, OSUG, OMP, OREME. doi:10.17178/AMMA-CATCH.all
+
+Optional: cite the DOI of each dataset used.
+
+Co-authorship: depending on the contribution of the data to the scientific results obtained, the authors should either propose co-authorship to the data providers or at least acknowledge their contribution.",Documentation of soil water content and soil temperature.,mds,True,findable,0,0,1,0,0,2021-11-15T12:53:55.000Z,2021-11-15T12:53:56.000Z,inist.osug,jbru,"Soil Temperature, soil moisture,Sahelian climate,Soil Moisture/Water Content at depth 10 cm,Soil Temperature at depth 10 cm,Soil Moisture/Water Content at depth 40 cm,Soil Temperature at depth 40 cm,Soil Temperature at depth 20 cm,Soil Moisture/Water Content at depth 20 cm","[{'subject': 'Soil Temperature, soil moisture', 'subjectScheme': 'main'}, {'subject': 'Sahelian climate', 'subjectScheme': 'main'}, {'subject': 'Soil Moisture/Water Content at depth 10 cm', 'subjectScheme': 'var'}, {'subject': 'Soil Temperature at depth 10 cm', 'subjectScheme': 'var'}, {'subject': 'Soil Moisture/Water Content at depth 40 cm', 'subjectScheme': 'var'}, {'subject': 'Soil Temperature at depth 40 cm', 'subjectScheme': 'var'}, {'subject': 'Soil Temperature at depth 20 cm', 'subjectScheme': 'var'}, {'subject': 'Soil Moisture/Water Content at depth 20 cm', 'subjectScheme': 'var'}]",,"['CSV', 'NETCDF', 'O&M 1.0']"
+10.5281/zenodo.10014634,Mining tortured acronyms from the scientific literature,Zenodo,2023,en,Dataset,Creative Commons Attribution 4.0 International,,api,True,findable,0,0,0,0,0,2023-10-17T19:30:51.000Z,2023-10-17T19:30:51.000Z,cern.zenodo,cern,,,,
+10.17178/amma-catch.senegal,"AMMA-CATCH observatory: Ferlo and Niakhar complementary sites in the Sahelian pastoral zone, Senegal","IRD, CNRS-INSU, OSUG, OMP, OREME",2013,en,Dataset,"Creative Commons Attribution 4.0 International,Data access and use are ruled by the AMMA-CATCH data policy.,For any publication using AMMA-CATCH data, authors are asked to:
+
+Mandatory: cite the reference article and the DOI of the observatory
+
+ (1) Galle et al. (2018). AMMA-CATCH a Critical Zone Observatory in West Africa Monitoring a Region in Transition. Vadose Zone Journal, 17 (1), 18006.
+ (2) AMMA-CATCH (1990). AMMA-CATCH : a hydrological, meteorological and ecological observatory on West Africa. IRD, CNRS-INSU, OSUG, OMP, OREME. doi:10.17178/AMMA-CATCH.all
+
+Optional: cite the DOI of each dataset used.
+
+Co-authorship: depending on the contribution of the data to the scientific results obtained, the authors should either propose co-authorship to the data providers or at least acknowledge their contribution.","Galle, S., Grippa, M., Peugeot, C., Bouzou Moussa, I., Cappelaere, B., Demarty, J., Mougin, E., Panthou, G. et al., 2018. AMMA-CATCH a Critical Zone Observatory in West Africa Monitoring a Region in Transition. Vadose Zone Journal, 17 (1), 180062, DOI : http://dx.doi.org/10.2136/vzj2018.04.0067",mds,True,findable,0,0,1,0,0,2021-11-15T12:53:59.000Z,2021-11-15T12:54:00.000Z,inist.osug,jbru,"Sahelian climate,Precipitation,Meteo,Flux,Ground water,Soils,Soil chemistry","[{'subject': 'Sahelian climate', 'subjectScheme': 'main'}, {'subject': 'Precipitation', 'subjectScheme': 'var'}, {'subject': 'Meteo', 'subjectScheme': 'var'}, {'subject': 'Flux', 'subjectScheme': 'var'}, {'subject': 'Ground water', 'subjectScheme': 'var'}, {'subject': 'Soils', 'subjectScheme': 'var'}, {'subject': 'Soil chemistry', 'subjectScheme': 'var'}]",,"['CSV', 'NETCDF', 'O&M 1.0']"
+10.48537/hal-03220363,"Narrative Presencing of Architectural Monuments, Atmospheres in Seibo There Below",Reseau International Ambiances,2020,en,Text,Creative Commons Attribution Non Commercial No Derivatives 2.0 Generic,"Engaging a selection of narratives from the episodic novel Seibo There Below (2008) by LaÌszloÌ Krasznahorkai, this paper discusses how literature can enable the atmospheric presencing of architectural monuments. It examines how the reader can partake of the multilayered atmosphere of three famous places of heritage, that are spa- tial manifestations of different civilizations: the Athenian Acropolis (Greece), the Ise Grand Shrine (Japan) and the palace of Alhambra (Spain). The paper unpacks atmospheric descriptions related to these monuments, through the affective and emotional accounts of the novel’s characters. By doing so, it allows architects, historians and theoreticians to understand significant places under a light that may even contradict canonized interpretations.",mds,True,findable,0,0,0,0,0,2021-06-17T09:44:24.000Z,2021-06-17T09:44:25.000Z,jbru.aau,jbru,"Literature,Narratives,Monuments,Presencing Atmospheres","[{'lang': 'eng', 'subject': 'Literature'}, {'lang': 'eng', 'subject': 'Narratives'}, {'lang': 'eng', 'subject': 'Monuments'}, {'lang': 'eng', 'subject': 'Presencing Atmospheres'}]",['6 pages'],['application/pdf']
10.5281/zenodo.10222605,"Spectral albedo and summer ground temperature of herbaceous and shrub tundra vegetation at Bylot Island, Canadian High-Arctic",Zenodo,2023,en,Dataset,Creative Commons Attribution 4.0 International,"These data are in support of a preprint:Â
Comparing spectral albedo and NDVI of herbaceous and shrub tundra vegetation at Bylot Island, Canadian High-Arctic
Florent Domine, Maria-Belke-Brea, Ghislain Picard, Laurent Arnaud, and Esther Lévesque
@@ -3048,36 +2342,40 @@ SALIX-G2 73.168° -79.812° Extended area in an alluvial fan with S. richardsoni
SALIX-F 73.182° -79.745° Similar to SALIX-G2. Ground temperature is monitored there. No spectral data were recorded at that site. Â
Â
 ",api,True,findable,0,0,0,0,0,2023-11-29T16:34:14.000Z,2023-11-29T16:34:14.000Z,cern.zenodo,cern,,,,
-10.48537/hal-03220250,"Ambiances of Anthropocene on Thessaly Territory, Greece: A Critical Dictionary",Reseau International Ambiances,2020,en,Text,Creative Commons Attribution Non Commercial No Derivatives 2.0 Generic,"In 20th century, at Thessaly region a series of paradigmatic metamor-phoses took place that transformed both the spatial and environmental aspects of this landscape. Focusing on Thessaly’s environmental and spatial peculiarities and exploring the region’s human footprint this paper proposes a metho- dology that underlines their significance in the context of Anthropocene. The methodological tool is an ongoing dictionary of terms – textual et visual – exported from the specific territory and contributing to a wider observatory of Anthro- pocene. The methodol-ogy of the dictionary is applied not only as an accredited tool of terminological mapping, but also as a critical interpretation mechanism through which we will be able to perceive current and future changes of our living environments.",fabrica,True,findable,0,0,0,0,0,2021-06-16T16:33:31.000Z,2021-06-16T16:33:31.000Z,jbru.aau,jbru,"Anthropocene,Thessaly,Dictionary,Ambiences,Countryside","[{'lang': 'eng', 'subject': 'Anthropocene'}, {'lang': 'eng', 'subject': 'Thessaly'}, {'lang': 'eng', 'subject': 'Dictionary'}, {'lang': 'eng', 'subject': 'Ambiences'}, {'lang': 'eng', 'subject': 'Countryside'}]",['6 pages'],['application/pdf']
-10.48537/10.48537/hal-03220247,Atmosphere and the Anthropogenic Metapolis,Reseau International Ambiances,2020,en,Text,Creative Commons Attribution Non Commercial No Derivatives 2.0 Generic,"This article explores connections between the concepts of atmosphere, Anthropocene and contemporary urbanity. First, contemporary urbanity is specified as Metapolis composed of different assemblies of density and heterogeneity. Second, the aisthetic atmospheres of the European Metapolis are portrayed as intensified in the historical centres and pluralized throughout the Metapolis. Third, the Metapolis is connected to the concept of the Anthropocene identified as the Great Acceleration. Fourth, the atmospheric and the anthropogenic aspects are assembled under the headings of the weather, atmospheric atten- tiveness to the Anthropocene and atmospheric aspects of Metapolitan climate politics.",fabrica,True,findable,0,0,0,0,0,2021-06-16T16:24:43.000Z,2021-06-16T16:24:43.000Z,jbru.aau,jbru,"Air,Anthropocene,Atmosphere,Great Acceleration,Metapolis","[{'lang': 'en', 'subject': 'Air'}, {'lang': 'en', 'subject': 'Anthropocene'}, {'lang': 'en', 'subject': 'Atmosphere'}, {'lang': 'en', 'subject': 'Great Acceleration'}, {'lang': 'en', 'subject': 'Metapolis'}]",['6 pages'],['application/pdf']
-10.48537/hal-03220247,Atmosphere and the Anthropogenic Metapolis,Reseau International Ambiances,2020,en,Text,Creative Commons Attribution Non Commercial No Derivatives 2.0 Generic,"This article explores connections between the concepts of atmosphere, Anthropocene and contemporary urbanity. First, contemporary urbanity is specified as Metapolis composed of different assemblies of density and heterogeneity. Second, the aisthetic atmospheres of the European Metapolis are portrayed as intensified in the historical centres and pluralized throughout the Metapolis. Third, the Metapolis is connected to the concept of the Anthropocene identified as the Great Acceleration. Fourth, the atmospheric and the anthropogenic aspects are assembled under the headings of the weather, atmospheric atten- tiveness to the Anthropocene and atmospheric aspects of Metapolitan climate politics.",fabrica,True,findable,0,0,0,0,0,2021-06-16T16:26:02.000Z,2021-06-16T16:26:02.000Z,jbru.aau,jbru,"Air,Anthropocene,Atmosphere,Great Acceleration,Metapolis","[{'lang': 'en', 'subject': 'Air'}, {'lang': 'en', 'subject': 'Anthropocene'}, {'lang': 'en', 'subject': 'Atmosphere'}, {'lang': 'en', 'subject': 'Great Acceleration'}, {'lang': 'en', 'subject': 'Metapolis'}]",['6 pages'],['application/pdf']
-10.48537/hal-03220275,"Temporary Altered Perception of Birth Space Ambiances, Case of Women in Labor",Reseau International Ambiances,2020,en,Text,Creative Commons Attribution Non Commercial No Derivatives 2.0 Generic,"The “birth event†is considered as an altered ambiantal situation since it affects woman sensibility and causes a temporary alteration of her birth space perception. The study focuses on a spatial characterization of ambiances and analysis of stress level of woman in labor in the Maternity and Neonatology Center of Tunis-Tunisia, captured through ElectroDermal Activity (EDA). This study highlights correlation between stressful ambiantal situations, architectural aspects of the birth space and altered perception of women in labor. Capturing emotions and analyzing their impact on perceiving spaces is susceptible to renew the way of understanding ambiances.",mds,True,findable,0,0,0,0,0,2021-06-17T16:47:59.000Z,2021-06-17T16:48:00.000Z,jbru.aau,jbru,"Altered Perception,Birth Space,Woman in Labor,Ambiantal Situations","[{'lang': 'eng', 'subject': 'Altered Perception'}, {'lang': 'eng', 'subject': 'Birth Space'}, {'lang': 'eng', 'subject': 'Woman in Labor'}, {'lang': 'eng', 'subject': 'Ambiantal Situations'}]",['6 pages'],['application/pdf']
-10.48537/hal-03220377,"Sense and Sensibility of Affective Atmospheres, Session 11 – Introduction",Reseau International Ambiances,2020,en,Text,Creative Commons Attribution Non Commercial No Derivatives 2.0 Generic,,mds,True,findable,0,0,0,0,0,2021-06-17T10:17:12.000Z,2021-06-17T10:17:12.000Z,jbru.aau,jbru,,,['3 pages'],['application/pdf']
-10.48537/hal-03220246,"Introduction to the Sound Installation “Beyond the Mortal Eyeâ€, On Listening to the Sonic Ambiances of Earth Systems",Reseau International Ambiances,2020,en,Text,Creative Commons Attribution Non Commercial No Derivatives 2.0 Generic,"Beyond the Mortal Eye is a sound-scape work that engages with the concept of deep time and our place within it. Using sounds of geological processes that are perceivable to the human ear, the installation voices a selection of slow, often invisible transformations that connect to and signify the passage of geological time. This installation is an initial practice-based experiment in ongoing research into the role of the sonic ambiances of Earth systems in communication about envi- ronmental change. It is designed to open up a space of enquiry and to fuel future research directions. This introduction to the work, by the artist, discusses the ideas behind the development of the installation.",fabrica,True,findable,0,0,0,0,0,2021-06-16T16:19:59.000Z,2021-06-16T16:20:00.000Z,jbru.aau,jbru,"Sonic Atmospheres,Deep Time,Earth Systems","[{'lang': 'eng', 'subject': 'Sonic Atmospheres'}, {'lang': 'eng', 'subject': 'Deep Time'}, {'lang': 'eng', 'subject': 'Earth Systems'}]",['6 pages'],['application/pdf']
-10.48537/hal-03220351,"Towards a Sensory Patrimoine? Atmospheric, Psychological and Ecopolitical Issues on Smell and Sound Identity",Reseau International Ambiances,2020,en,Text,Creative Commons Attribution Non Commercial No Derivatives 2.0 Generic,"This paper addresses the notion of “sensory patrimoine,†by questioning our con- trol of the natural elements, and the processes of patrimonialization. It considers this notion according to the sound or smell sensorialities. These thoughts are illustrated by several examples, in Switzerland, France, and Japan. We define under what conditions we can char- acterize the sound or olfactory identity of a place or an environment. Helped by the works on environmental identity, we thus investigate the modalities for sharing these sensorialities to create a common identity. We then define a key to understand our responsibility toward the environment, and we call for a balance to be found in future works on the inventory of smell and sound characters.",mds,True,findable,0,0,0,0,0,2021-06-17T16:48:17.000Z,2021-06-17T16:48:17.000Z,jbru.aau,jbru,"Smells,Sound,Patrimoine,Environmental Identity","[{'lang': 'eng', 'subject': 'Smells'}, {'lang': 'eng', 'subject': 'Sound'}, {'lang': 'eng', 'subject': 'Patrimoine'}, {'lang': 'eng', 'subject': 'Environmental Identity'}]",['6 pages'],['application/pdf']
-10.18709/mp70-ey27,Benchmark MODECOGeL,PerSciDo,2019,en,Dataset,,A global sensitivity analysis approach for marine biogeochemical modeling,fabrica,True,findable,0,0,0,0,0,2019-10-18T12:34:34.000Z,2019-10-18T12:34:34.000Z,inist.persyval,vcob,"Computer Science,Mathematics,FOS: Mathematics,FOS: Mathematics,Biochemistry","[{'lang': 'en', 'subject': 'Computer Science'}, {'lang': 'en', 'subject': 'Mathematics'}, {'subject': 'FOS: Mathematics', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'FOS: Mathematics', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'lang': 'en', 'subject': 'Biochemistry'}]",['6.1 GB'],['zip']
+10.48537/hal-03220286,"The Agency of Perception, A Perceptual Apparatus as a Tool for Critique and Subversion, Action and Mediation",Reseau International Ambiances,2020,en,Text,Creative Commons Attribution Non Commercial No Derivatives 2.0 Generic,"By exploring a series of perceptual devices, which constituted a notable disci- plinary expansion in the fields of art, architec- ture and design, particularly in the 1960s, the aim of this paper is to present apparatuses as instruments of embodied knowledge. The key proposition is that, situated in a liminal space between æsthethics and politics, perception and action, the discussed devices can be seen as tools of both critical analysis and radical intervention. They act as ‘performative mani- festos’ which by acknowledging the agency of perception and by challenging conventions, reveal alternative spatial, somatic and societal realities, raising ‘atmospheric awareness’ and promoting a co-production of new ecologies.",mds,True,findable,0,0,0,0,0,2021-06-17T09:44:19.000Z,2021-06-17T09:44:20.000Z,jbru.aau,jbru,"Perceptual Apparatus,Radical Practices,Atmospheric Awareness,Immersion","[{'lang': 'eng', 'subject': 'Perceptual Apparatus'}, {'lang': 'eng', 'subject': 'Radical Practices'}, {'lang': 'eng', 'subject': 'Atmospheric Awareness'}, {'lang': 'eng', 'subject': 'Immersion'}]",['6 pages'],['application/pdf']
+10.17178/emaa_cn_hyperfine_d9a30dbd,Hyperfine excitation of CN by electron and para-H2 collisions,"UGA, CNRS, CNRS-INSU, OSUG",2021,en,Dataset,"Please acknowledge the use of EMAA Database by citing the original articles in which the data were published (BibTeX format available), and adding the following sentence in your publication:
+This research has made use of spectroscopic and collisional data from the EMAA database (https://emaa.osug.fr). EMAA is supported by the Observatoire des Sciences de l'Univers de Grenoble (OSUG),Creative Commons Attribution 4.0 International,Data access and use are ruled by the EMAA data policy.",121 hyperfine energy levels / 337 radiative transitions / 2267 collisional transitions for electron (19 temperatures in the range 10-1000K) / 2628 collisional transitions for para-H2 (20 temperatures in the range 5-100K),mds,True,findable,0,0,0,0,0,2021-11-17T14:00:50.000Z,2021-11-17T14:00:51.000Z,inist.osug,jbru,"target CN,excitationType Hyperfine,collisional excitation,collider.0 electron,collider.1 para-H2,astrophysics,interstellar medium,comets,circumstellar medium,gas,microwave spectroscopy,infrared spectroscopy,rotational excitation,rovibrational excitation,vibrational excitation,electronic excitation,collisional rate coefficients,fine structure,hyperfine structure","[{'subject': 'target CN', 'subjectScheme': 'main'}, {'subject': 'excitationType Hyperfine', 'subjectScheme': 'main'}, {'subject': 'collisional excitation', 'subjectScheme': 'main'}, {'subject': 'collider.0 electron', 'subjectScheme': 'var'}, {'subject': 'collider.1 para-H2', 'subjectScheme': 'var'}, {'subject': 'astrophysics', 'subjectScheme': 'var'}, {'subject': 'interstellar medium', 'subjectScheme': 'var'}, {'subject': 'comets', 'subjectScheme': 'var'}, {'subject': 'circumstellar medium', 'subjectScheme': 'var'}, {'subject': 'gas', 'subjectScheme': 'var'}, {'subject': 'microwave spectroscopy', 'subjectScheme': 'var'}, {'subject': 'infrared spectroscopy', 'subjectScheme': 'var'}, {'subject': 'rotational excitation', 'subjectScheme': 'var'}, {'subject': 'rovibrational excitation', 'subjectScheme': 'var'}, {'subject': 'vibrational excitation', 'subjectScheme': 'var'}, {'subject': 'electronic excitation', 'subjectScheme': 'var'}, {'subject': 'collisional rate coefficients', 'subjectScheme': 'var'}, {'subject': 'fine structure', 'subjectScheme': 'var'}, {'subject': 'hyperfine structure', 'subjectScheme': 'var'}]",,['Radex']
+10.5281/zenodo.5243356,Swedish DBnary archive in original Lemon format,Zenodo,2021,sv,Dataset,"Creative Commons Attribution Share Alike 4.0 International,Open Access","The DBnary dataset is an extract of Wiktionary data from many language editions in RDF Format. Until July 1st 2017, the lexical data extracted from Wiktionary was modeled using the lemon vocabulary. This dataset contains the full archive of all DBnary dumps in Lemon format containing lexical information from Swedish language edition, ranging from 7th April 2015 to 1st July 2017. After July 2017, DBnary data has been modeled using the ontolex model and will be available in another Zenodo entry.",mds,True,findable,0,0,0,0,0,2021-08-24T11:50:12.000Z,2021-08-24T11:50:13.000Z,cern.zenodo,cern,"Wiktionary,Lemon,Lexical Data,RDF","[{'subject': 'Wiktionary'}, {'subject': 'Lemon'}, {'subject': 'Lexical Data'}, {'subject': 'RDF'}]",,
+10.17178/ohmcv.dsd.vb3.12-14.1,"DSD network, Villeneuve-de-Berg-3",CNRS - OSUG - OREME,2011,en,Dataset,"Data access and use are ruled by the OHMCV data policy.,The following acknowledging sentence should appear in publications using OHMCV data and products: ""OHMCV is funded by the Institut National des Sciences de l’Univers (INSU/CNRS) and the Observatoire des Sciences de l’Univers de Grenoble (OSUG / Université Grenoble Alpes)â€.",This dataset is part of the Cevennesâ€Vivarais Mediterranean Hydrometeorological Observatory (OHMCV),mds,True,findable,0,0,1,1,0,2017-03-10T17:09:24.000Z,2017-03-10T17:09:25.000Z,inist.osug,jbru,"Atmospheric conditions,Precipitation,Precipitation Rate,Droplet Size,DISDROMETERS,Ground networks,Hydrometeorological sites,Fixed Observation Stations","[{'subject': 'Atmospheric conditions', 'subjectScheme': 'main'}, {'subject': 'Precipitation', 'subjectScheme': 'main'}, {'subject': 'Precipitation Rate', 'subjectScheme': 'main'}, {'subject': 'Droplet Size', 'subjectScheme': 'main'}, {'subject': 'DISDROMETERS', 'subjectScheme': 'main'}, {'subject': 'Ground networks', 'subjectScheme': 'main'}, {'subject': 'Hydrometeorological sites', 'subjectScheme': 'main'}, {'subject': 'Fixed Observation Stations', 'subjectScheme': 'main'}]",,['NETCDF']
+10.5281/zenodo.7970338,"CliffEBM - A Gridded Ice Cliff Energy Balance Model (first public release, v01.1)",Zenodo,2023,en,Software,"Creative Commons Attribution 4.0 International,Open Access","<em>CliffEBM </em>is a model that calculates the distributed surface energy balance and backwasting (melt) rates for ice cliffs, i.e. steep ice surfaces with complex, heterogeneous topographies. The model is validated and described in Buri, P., Pellicciotti, F., Steiner, J., Miles, E., & Immerzeel, W. (2016). <strong>A grid-based model of backwasting of supraglacial ice cliffs on debris-covered glaciers.</strong> <em>Annals of Glaciology,</em> <em>57</em>(71), 199-211. https://doi.org/10.3189/2016AoG71A059 See most update version here: https://github.com/pburi/CliffEBM In this repository we provide example input data (digital elevation models, shapefiles, meteodata) to run <em>CliffEBM </em>on one supraglacial cliff on the debris-covered Lirung Glacier (Nepal). Working example: to run the model, download the entire repository on your machine and adjust the paths in the model code (<em>CliffEBM.R</em>, section ""<em>primary definitions</em>"") according to the paths on your machine. Software: R (R version 4.3.0 (2023-04-21 ucrt) -- ""Already Tomorrow""). The model should also run on older versions. Packages: <em>cleaRskyQuantileRegression, doParallel, foreach, grDevices, iterators, methods, parallel, raster, rgdal, rgeos, sf, sp, stats, utils, zoo</em>",mds,True,findable,0,0,0,0,0,2023-05-25T11:41:22.000Z,2023-05-25T11:41:22.000Z,cern.zenodo,cern,"Ice cliffs,Debris-covered glaciers,Energy balance,Backwasting","[{'subject': 'Ice cliffs'}, {'subject': 'Debris-covered glaciers'}, {'subject': 'Energy balance'}, {'subject': 'Backwasting'}]",,
+10.5061/dryad.m1t32,Data from: Phylogenomic analysis of the explosive adaptive radiation of the Espeletia complex (Asteraceae) in the tropical Andes,Dryad,2019,en,Dataset,Creative Commons Zero v1.0 Universal,"The subtribe Espeletiinae (Asteraceae) is endemic to the high-elevations in the Northern Andes. It exhibits an exceptional diversity of species, growth-forms and reproductive strategies, including large trees, dichotomous trees, shrubs and the extraordinary giant monocarpic or polycarpic caulescent rosettes, considered as a classic example of adaptation in tropical high-elevation ecosystems. The subtribe has long been recognised as a prominent case of adaptive radiation, but the understanding of its evolution has been hampered by a lack of phylogenetic resolution. Here we produce the first fully resolved phylogeny of all morphological groups of Espeletiinae, using whole plastomes and about a million nuclear nucleotides obtained with an original de novo assembly procedure without reference genome, and analysed with traditional and coalescent-based approaches that consider the possible impact of incomplete lineage sorting and hybridisation on phylogenetic inference. We show that the diversification of Espeletiinae started from a rosette ancestor about 2.3 Ma, after the final uplift of the Northern Andes. This was followed by two rather independent radiations in the Colombian and Venezuelan Andes, with a few trans-cordilleran dispersal events among low-elevation tree lineages but none among high-elevation rosettes. We demonstrate complex scenarios of morphological change in Espeletiinae, usually implying the convergent evolution of growth-forms with frequent loss/gains of various traits. For instance, caulescent rosettes evolved independently in both countries, likely as convergent adaptations to life in tropical high-elevation habitats. Tree growth-forms evolved independently three times from the repeated colonisation of lower elevations by high-elevation rosette ancestors. The rate of morphological diversification increased during the early phase of the radiation, after which it decreased steadily towards the present. On the other hand, the rate of species diversification in the best-sampled Venezuelan radiation was on average very high (3.1 spp/My), with significant rate variation among growth-forms (much higher in polycarpic caulescent rosettes). Our results point out a scenario where both adaptive morphological evolution and geographical isolation due to Pleistocene climatic oscillations triggered an exceptionally rapid radiation for a continental plant group.",mds,True,findable,351,79,0,1,0,2019-10-04T22:00:33.000Z,2019-10-04T22:00:34.000Z,dryad.dryad,dryad,"Espeletiinae,caulescent rosette,Páramo,tropical high-elevation,explosive diversification","[{'subject': 'Espeletiinae'}, {'subject': 'caulescent rosette'}, {'subject': 'Páramo'}, {'subject': 'tropical high-elevation'}, {'subject': 'explosive diversification'}]",['74332765 bytes'],
10.18709/perscido.2022.09.ds376,"Snow status (wet/dry) in Antarctica from SMMR, SSM/I, AMSR-E and AMSR2 passive microwave radiometers",PerSCiDO,2022,,Dataset,,"The dataset provides daily binary status (wet/dry) of the snowpack for each pixel at 25 or 12.5 km resolution in Antarctica. This status is retrieved from passive microwave observation at 19 GHz and horizontal polarisation, using an algorithm developed by Torinesi et al. 2013 and Picard and Fily, 2006.
The dataset comprises three timeseries. The longest starts in 1979 and includes observations from SMMR and SSM/I sensors. It has a coarse effective resolution of ~60km and has many data gaps especially during the SMMR period (<1987). The two other timeseries are from AMSR-E and AMSR2 sensors which features a twice-finer effective resolution, about ~25 km. There are less gaps except in 2011/2012 between AMSR-E and AMSR2.",api,True,findable,0,0,0,1,0,2022-09-13T07:05:11.000Z,2022-09-13T07:05:12.000Z,inist.persyval,vcob,glaciology,"[{'subject': 'glaciology', 'subjectScheme': 'https://perscido.univ-grenoble-alpes.fr/glaciology'}]",['10 Mo'],
-10.48537/hal-03220368,"After the Ruins, An Affective Topography of Post-Earthquake Cities",Reseau International Ambiances,2020,en,Text,Creative Commons Attribution Non Commercial No Derivatives 2.0 Generic,"The research we present focuses on a phenomenographical mapping of a mountainous region of Central Italy which, between 2009 and 2017, was struck by several catastrophic earthquakes. As the reconstruction efforts are variously proceeding to reinstate a questionable status ante quem, there is a widespread feeling that this rebuilding is in fact ignoring the “human space†that animated the towns before the dramatic events. This affective topography thus aims at presencing the atmospheric situations we have encountered by means of a variety of media, among which drawing, photography, cartography and com- mented walks..",mds,True,findable,0,0,0,0,0,2021-06-17T16:47:01.000Z,2021-06-17T16:47:02.000Z,jbru.aau,jbru,"Phenomenography,Affective Topography,Urban Atmospheres","[{'lang': 'eng', 'subject': 'Phenomenography'}, {'lang': 'eng', 'subject': 'Affective Topography'}, {'lang': 'eng', 'subject': 'Urban Atmospheres'}]",['6 pages'],['application/pdf']
-10.48537/hal-03220254,"Colored LED Lighting as a Primary Interior Spatial Condition, Human Preference and Affectual Response",Reseau International Ambiances,2020,en,Text,Creative Commons Attribution Non Commercial No Derivatives 2.0 Generic,"This research explores the human response to colored lighting with light emit- ting diodes (LEDs) in a space with the intent of understanding preference and affectual response. The research was conducted through photographic appraisal of a single interior space illuminated with monochromatic and mixed colored lighting3. Results indicate that the stimuli of monochromatic lighting (red, blue, green) confers distinct subjective impressions to a spatial setting and, for a number of subjects, prompts memories. When mixed color lighting is introduced, there are preferences for warm colors and consensus that red lighting is energizing. Future studies will replicate this study with in-situ, immersive experiences.",fabrica,True,findable,0,0,0,0,0,2021-06-16T16:39:53.000Z,2021-06-16T16:41:15.000Z,jbru.aau,jbru,"Colored Lighting,LED,Lighting,Interiors","[{'lang': 'eng', 'subject': 'Colored Lighting'}, {'lang': 'eng', 'subject': 'LED'}, {'lang': 'eng', 'subject': 'Lighting'}, {'lang': 'eng', 'subject': 'Interiors'}]",['6 pages'],['application/pdf']
-10.18709/perscido.2023.07.ds397,The Tour Perret LoRaWAN 2G4 frames dataset,PerSCiDO,2023,,Dataset,,"The dataset contains the log files of 1193638 frames sent by A LoRa 2.4 GHz endpoint installed on the top of Tour Perret in Grenoble, France. The goal of this dataset is the long-time study of performance and Wifi coexistence of LoRa 2.4 GHz communications in an urban context.",api,True,findable,0,0,0,0,0,2023-07-12T08:01:20.000Z,2023-07-12T08:01:20.000Z,inist.persyval,vcob,"Information Technology,Computer Science","[{'subject': 'Information Technology', 'subjectScheme': 'http://www.radar-projekt.org/display/Information_Technology'}, {'subject': 'Computer Science', 'subjectScheme': 'http://www.radar-projekt.org/display/Computer_Science'}]",['100 Mo'],['JSON']
-10.48537/hal-03220355,Ambiance In and Around the Virtual Reality Headset,Reseau International Ambiances,2020,en,Text,Creative Commons Attribution Non Commercial No Derivatives 2.0 Generic,"Ambient perception in virtual reality is split between perceiving the virtual space inside the headset and perceiving the surrounding physical environment. While promises of VR “immersion†frequently ignore the surrounding space, an ambient perspective reveals how immersion in VR is always at least double: any immersion in virtual space comes nested within an immersion in the atmospheres already surrounding VR use. This essay seeks to understand how these two layers cohere both spatially and temporally across the interface of the VR headset. An ambient perspective on VR demonstrates how even the most immersive media must be understood as shaped by the spaces surrounding the interface itself.",mds,True,findable,0,0,0,0,0,2021-06-17T09:44:09.000Z,2021-06-17T09:44:10.000Z,jbru.aau,jbru,"Ambiance,Immersion,Atmosphere,Spatial Mediation,Virtual Reality (VR)","[{'lang': 'eng', 'subject': 'Ambiance'}, {'lang': 'eng', 'subject': 'Immersion'}, {'lang': 'eng', 'subject': 'Atmosphere'}, {'lang': 'eng', 'subject': 'Spatial Mediation'}, {'lang': 'eng', 'subject': 'Virtual Reality (VR)'}]",['6 pages'],['application/pdf']
-10.48537/hal-03220319,"Preference Atmospheres in the ‘Carioca Gaza Strip’, Manguinhos Favela Complex, Rio de Janeiro",Reseau International Ambiances,2020,en,Text,Creative Commons Attribution Non Commercial No Derivatives 2.0 Generic,"In this work we analyse preference atmospheres, investigating attractiveness and affectivity in conflict and vulnerability territories located in peripheral urban areas. Preference atmospheres are conceptions of world that contemplate multiple meanings attribution. This conceptualization is based on various studies, whose dialogues enabled a methodology development that has been applied, in this work, in the Manguinhos favela complex – the ‘Carioca Gaza Strip’, located in Rio de Janeiro’s North Zone. Our analysis focuses on the so-called ‘Marcelo Square’, a small square constructed by local residents in a prohibited area, and Estrada de Manguinhos Street, symbolic open spaces of affectivity and attractiveness in an area widely known for its socio-environmental vulnerability.",mds,True,findable,0,0,0,0,0,2021-06-17T10:17:14.000Z,2021-06-17T10:17:15.000Z,jbru.aau,jbru,"Preference Atmospheres,Vulnerability,Political Ecology,Favela Complex","[{'lang': 'eng', 'subject': 'Preference Atmospheres'}, {'lang': 'eng', 'subject': 'Vulnerability'}, {'lang': 'eng', 'subject': 'Political Ecology'}, {'lang': 'eng', 'subject': 'Favela Complex'}]",['6 pages'],['application/pdf']
-10.18709/perscido.2018.09.ds236,GICS Intrusion Detection Datasets,PerSciDo,2018,en,Dataset,,"These datasets were generated for the evaluation of cybersecurity measures in the context of industrial control systems (ICS). An ICS is a set of devices (electrical, mechanical, hydraulic,. . . ) whose interaction controls the behavior of a physical process in order to achieve an industrial objective (manufacturing, transportation of matter and energy, etc.).",fabricaForm,True,findable,0,0,0,1,0,2018-09-24T09:22:44.000Z,2018-09-24T11:39:56.000Z,inist.persyval,vcob,Computer Science,[{'subject': 'Computer Science'}],['1200 MB'],['pcapng']
-10.48537/hal-03220282,"Light Affects, Towards a Body-sensory Approach in Lighting Design",Reseau International Ambiances,2020,en,Text,Creative Commons Attribution Non Commercial No Derivatives 2.0 Generic,"Informing current research on how light effects our performance, hormones and moods, this paper presents a body-sensory approach to study atmospheric affects of light. Presenting ethnographic data from three studies on the bodily feel of colour illuminated spaces, the paper shows how architectural lighting designs go beyond their immediate potential of supporting visual needs and æsthethic delight, by their ability to attune bodily sensations and states of being. Conse- quently, the paper argues for a qualification of current methodologies within lighting research and calls for an atmospheric mindful awareness of the sensory body when designing with chromatic lighting technologies for architectural spaces.",mds,True,findable,0,0,0,0,0,2021-06-17T16:48:06.000Z,2021-06-17T16:48:07.000Z,jbru.aau,jbru,"Light,Colour,Atmosphere,Bodily Sensation,Architecture,FOS: Civil engineering,Design","[{'lang': 'eng', 'subject': 'Light'}, {'lang': 'eng', 'subject': 'Colour'}, {'lang': 'eng', 'subject': 'Atmosphere'}, {'lang': 'eng', 'subject': 'Bodily Sensation'}, {'lang': 'eng', 'subject': 'Architecture'}, {'subject': 'FOS: Civil engineering', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'lang': 'eng', 'subject': 'Design'}]",['6 pages'],['application/pdf']
-10.48537/hal-03220350,"Participate in the Atmosphere, Distribution of Involvements and Attachments as Urban Construction",Reseau International Ambiances,2020,en,Text,Creative Commons Attribution Non Commercial No Derivatives 2.0 Generic,"This article reports on an ongoing ethnographic survey of the post-industrial city of Saint-EÌtienne (France). Through a sensitive approach and a methodological use of walking, attachments and relationships to places are questioned. Urbanity and atmosphere appear to be the result of three types of daily actions of city dwellers: the production of ordinary civilities, the evaluation of amenities and the memory recognition. This approach aims to consider the city through its resources of attachment and to take care of them.",mds,True,findable,0,0,0,0,0,2021-06-17T10:17:32.000Z,2021-06-17T10:17:32.000Z,jbru.aau,jbru,"Urbanity,Involvement,Atmosphere,Attachment,Interaction","[{'lang': 'eng', 'subject': 'Urbanity'}, {'lang': 'eng', 'subject': 'Involvement'}, {'lang': 'eng', 'subject': 'Atmosphere'}, {'lang': 'eng', 'subject': 'Attachment'}, {'lang': 'eng', 'subject': 'Interaction'}]",['6 pages'],['application/pdf']
-10.48537/hal-03220287,"Culture of Creation, The Atmosphere of Objects",Reseau International Ambiances,2020,en,Text,Creative Commons Attribution Non Commercial No Derivatives 2.0 Generic,"As human beings we are constantly immersed in different atmospheres and spon- taneously associate them with space. We propose here to focus on atmospheres of objects. In over more than two decades of experience with Satyendra PakhaleÌ Associates, we have developed a research program complementary to studio practice. While designing objects, we investigate their related atmospheres and cultivate a deep understanding of human perception and sensoriality referring to multiple sources. With the intention to empower the ability of objects to contribute to the broadest necessities of human – social and sensorial – being, here we focus attention on the invisible aura that surrounds objects and evokes specific feelings. We call this holistic practice as ‘Culture of Creation’.",mds,True,findable,0,0,0,0,0,2021-06-17T10:17:54.000Z,2021-06-17T10:17:55.000Z,jbru.aau,jbru,"Sense spheres,Poetic Analogy,B.M. Horse,Kayo,Add-On Radiator","[{'lang': 'eng', 'subject': 'Sense spheres'}, {'lang': 'eng', 'subject': 'Poetic Analogy'}, {'lang': 'eng', 'subject': 'B.M. Horse'}, {'lang': 'eng', 'subject': 'Kayo'}, {'lang': 'eng', 'subject': 'Add-On Radiator'}]",['6 pages'],['application/pdf']
-10.48537/hal-03220335,"Entangled Ambiance, Bodily Practices as a Fundamental Instance for Founding the Places",Reseau International Ambiances,2020,en,Text,Creative Commons Attribution Non Commercial No Derivatives 2.0 Generic,"In face of changes on living collec- tivity and human bonds on the informational age, we question which mechanisms preserve the capacity to promote a shift in the cen- trality of the subject towards the acceptance of alterity and differences. This operation is important for maintaining social cohesion and constructing public spaces as truly democratic places. In this sense, we briefly analyze the Maua Square, Rio de Janeiro, Brazil, a touristic spot that contains many layers of history and uses. This study shows how the same physical space can be characterized by an entangled ambiance that simultaneously harbor distinct microenvironments, offering multiple possi- bilities of engagement and indicating that the mode of attention can be decisive in establishing the constitution of the place.",mds,True,findable,0,0,0,0,0,2021-06-17T10:17:19.000Z,2021-06-17T10:17:20.000Z,jbru.aau,jbru,"Cities,Collectivity,Multiplicity,Social Bonds,Entangled Ambiances","[{'lang': 'eng', 'subject': 'Cities'}, {'lang': 'eng', 'subject': 'Collectivity'}, {'lang': 'eng', 'subject': 'Multiplicity'}, {'lang': 'eng', 'subject': 'Social Bonds'}, {'lang': 'eng', 'subject': 'Entangled Ambiances'}]",['6 pages'],['application/pdf']
-10.5281/zenodo.10341149,Chamois-CompCert with security features described in Monniaux / CPP 2024,Zenodo,2023,en,Software,INRIA Non-Commercial License Agreement,,api,True,findable,0,0,0,0,0,2023-12-10T18:08:43.000Z,2023-12-10T18:08:43.000Z,cern.zenodo,cern,"formally-verified compiler,Coq,software security,canaries,pointer authentication,CompCert,buffer overflow,tail-recursion elimination,compiler optimizations","[{'subject': 'formally-verified compiler'}, {'subject': 'Coq'}, {'subject': 'software security'}, {'subject': 'canaries'}, {'subject': 'pointer authentication'}, {'subject': 'CompCert'}, {'subject': 'buffer overflow'}, {'subject': 'tail-recursion elimination'}, {'subject': 'compiler optimizations'}]",,
-10.48537/hal-03220324,"Sound Stakes of the Atmosphere, Session 14 – Introduction",Reseau International Ambiances,2020,en,Text,Creative Commons Attribution Non Commercial No Derivatives 2.0 Generic,,mds,True,findable,0,0,0,0,0,2021-06-17T10:17:59.000Z,2021-06-17T10:18:00.000Z,jbru.aau,jbru,,,['5 pages'],['application/pdf']
-10.48537/hal-03220337,"Happy Atmospheres, Metro Stations as Sound Places of Happiness",Reseau International Ambiances,2020,en,Text,Creative Commons Attribution Non Commercial No Derivatives 2.0 Generic,"Taking up the slogan of the teams of architects “for happy architecture†for the design of the new E line of the metro in the Lyon area (France), this paper defends the idea of a happy atmosphere as a design tool. The research presented here focuses on the sound dimensions of the architectural project. Principles of a sound charter are discussed and ambiance creation is thought through the design of tensions between the material, sensitive and symbolic conditions of the experience of a back plan and the conditions of appearance of sound events. Ambiance design is a means of liberating the perception and representation of metro’s users and a method to design sensitive worlds for the public, participating in this way in the renewing the ordinary experience of the metro.",mds,True,findable,0,0,0,0,0,2021-06-17T16:48:53.000Z,2021-06-17T16:48:54.000Z,jbru.aau,jbru,"Metro,Ambiances,Events,Sounds,Acoustics,Charter,Happy Places","[{'lang': 'eng', 'subject': 'Metro'}, {'lang': 'eng', 'subject': 'Ambiances'}, {'lang': 'eng', 'subject': 'Events'}, {'lang': 'eng', 'subject': 'Sounds'}, {'lang': 'eng', 'subject': 'Acoustics'}, {'lang': 'eng', 'subject': 'Charter'}, {'lang': 'eng', 'subject': 'Happy Places'}]",['6 pages'],['application/pdf']
-10.17178/emaa_ortho-c3h2_rotation_caf26a12,Rotation excitation of ortho-c-C3H2 by He and para-H2 collisions,"UGA, CNRS, CNRS-INSU, OSUG",2023,en,Dataset,"Please acknowledge the use of EMAA Database by citing the original articles in which the data were published (BibTeX format available), and adding the following sentence in your publication:
-This research has made use of spectroscopic and collisional data from the EMAA database (https://emaa.osug.fr). EMAA is supported by the Observatoire des Sciences de l'Univers de Grenoble (OSUG),Creative Commons Attribution 4.0 International,Data access and use are ruled by the EMAA data policy.",50 rotation energy levels / 122 radiative transitions / 1225 collisional transitions for para-H2 (9 temperatures in the range 5-120K) / 1225 collisional transitions for He (9 temperatures in the range 5-120K),mds,True,findable,0,0,0,0,0,2023-12-07T15:51:37.000Z,2023-12-07T15:51:37.000Z,inist.osug,jbru,"target ortho-c-C3H2,excitationType Rotation,collisional excitation,collider.0 para-H2,collider.1 He,astrophysics,interstellar medium,comets,circumstellar medium,gas,microwave spectroscopy,infrared spectroscopy,rotational excitation,rovibrational excitation,vibrational excitation,electronic excitation,collisional rate coefficients,fine structure,hyperfine structure","[{'subject': 'target ortho-c-C3H2', 'subjectScheme': 'main'}, {'subject': 'excitationType Rotation', 'subjectScheme': 'main'}, {'subject': 'collisional excitation', 'subjectScheme': 'main'}, {'subject': 'collider.0 para-H2', 'subjectScheme': 'var'}, {'subject': 'collider.1 He', 'subjectScheme': 'var'}, {'subject': 'astrophysics', 'subjectScheme': 'var'}, {'subject': 'interstellar medium', 'subjectScheme': 'var'}, {'subject': 'comets', 'subjectScheme': 'var'}, {'subject': 'circumstellar medium', 'subjectScheme': 'var'}, {'subject': 'gas', 'subjectScheme': 'var'}, {'subject': 'microwave spectroscopy', 'subjectScheme': 'var'}, {'subject': 'infrared spectroscopy', 'subjectScheme': 'var'}, {'subject': 'rotational excitation', 'subjectScheme': 'var'}, {'subject': 'rovibrational excitation', 'subjectScheme': 'var'}, {'subject': 'vibrational excitation', 'subjectScheme': 'var'}, {'subject': 'electronic excitation', 'subjectScheme': 'var'}, {'subject': 'collisional rate coefficients', 'subjectScheme': 'var'}, {'subject': 'fine structure', 'subjectScheme': 'var'}, {'subject': 'hyperfine structure', 'subjectScheme': 'var'}]",,['Radex']
-10.17178/ohmcv.dsd.sou.12-16.1,"DSD network, La Souche",CNRS - OSUG - OREME,2012,en,Dataset,"Data access and use are ruled by the OHMCV data policy.,The following acknowledging sentence should appear in publications using OHMCV data and products: ""OHMCV is funded by the Institut National des Sciences de l’Univers (INSU/CNRS) and the Observatoire des Sciences de l’Univers de Grenoble (OSUG / Université Grenoble Alpes)â€.",This dataset is part of the Cevennesâ€Vivarais Mediterranean Hydrometeorological Observatory (OHMCV),mds,True,findable,0,0,1,0,0,2017-10-17T13:24:20.000Z,2017-10-17T13:24:20.000Z,inist.osug,jbru,"Atmospheric conditions,Precipitation,Precipitation Rate,Droplet Size,DISDROMETERS,Ground networks,Hydrometeorological sites,Fixed Observation Stations","[{'subject': 'Atmospheric conditions', 'subjectScheme': 'main'}, {'subject': 'Precipitation', 'subjectScheme': 'main'}, {'subject': 'Precipitation Rate', 'subjectScheme': 'main'}, {'subject': 'Droplet Size', 'subjectScheme': 'main'}, {'subject': 'DISDROMETERS', 'subjectScheme': 'main'}, {'subject': 'Ground networks', 'subjectScheme': 'main'}, {'subject': 'Hydrometeorological sites', 'subjectScheme': 'main'}, {'subject': 'Fixed Observation Stations', 'subjectScheme': 'main'}]",,['NETCDF']
-10.17178/emaa_para-nh3_rotation-hot_9da5b297,Rotation-hot excitation of para-NH3 by ortho-H2 and para-H2 collisions,"UGA, CNRS, CNRS-INSU, OSUG",2023,en,Dataset,"Please acknowledge the use of EMAA Database by citing the original articles in which the data were published (BibTeX format available), and adding the following sentence in your publication:
-This research has made use of spectroscopic and collisional data from the EMAA database (https://emaa.osug.fr). EMAA is supported by the Observatoire des Sciences de l'Univers de Grenoble (OSUG),Creative Commons Attribution 4.0 International,Data access and use are ruled by the EMAA data policy.",62 rotation-hot energy levels / 133 radiative transitions / 1891 collisional transitions for ortho-H2 (5 temperatures in the range 100-500K) / 1891 collisional transitions for para-H2 (5 temperatures in the range 100-500K),mds,True,findable,0,0,0,0,0,2023-12-07T15:52:25.000Z,2023-12-07T15:52:25.000Z,inist.osug,jbru,"target para-NH3,excitationType Rotation-hot,collisional excitation,collider.0 ortho-H2,collider.1 para-H2,astrophysics,interstellar medium,comets,circumstellar medium,gas,microwave spectroscopy,infrared spectroscopy,rotational excitation,rovibrational excitation,vibrational excitation,electronic excitation,collisional rate coefficients,fine structure,hyperfine structure","[{'subject': 'target para-NH3', 'subjectScheme': 'main'}, {'subject': 'excitationType Rotation-hot', 'subjectScheme': 'main'}, {'subject': 'collisional excitation', 'subjectScheme': 'main'}, {'subject': 'collider.0 ortho-H2', 'subjectScheme': 'var'}, {'subject': 'collider.1 para-H2', 'subjectScheme': 'var'}, {'subject': 'astrophysics', 'subjectScheme': 'var'}, {'subject': 'interstellar medium', 'subjectScheme': 'var'}, {'subject': 'comets', 'subjectScheme': 'var'}, {'subject': 'circumstellar medium', 'subjectScheme': 'var'}, {'subject': 'gas', 'subjectScheme': 'var'}, {'subject': 'microwave spectroscopy', 'subjectScheme': 'var'}, {'subject': 'infrared spectroscopy', 'subjectScheme': 'var'}, {'subject': 'rotational excitation', 'subjectScheme': 'var'}, {'subject': 'rovibrational excitation', 'subjectScheme': 'var'}, {'subject': 'vibrational excitation', 'subjectScheme': 'var'}, {'subject': 'electronic excitation', 'subjectScheme': 'var'}, {'subject': 'collisional rate coefficients', 'subjectScheme': 'var'}, {'subject': 'fine structure', 'subjectScheme': 'var'}, {'subject': 'hyperfine structure', 'subjectScheme': 'var'}]",,['Radex']
+10.17178/emaa_ortho-h2(34s)_rotation_2f37d6f0,Rotation excitation of ortho-H2[34S] by ortho-H2 and para-H2 collisions,"UGA, CNRS, CNRS-INSU, OSUG",2022,en,Dataset,"Please acknowledge the use of EMAA Database by citing the original articles in which the data were published (BibTeX format available), and adding the following sentence in your publication:
+This research has made use of spectroscopic and collisional data from the EMAA database (https://emaa.osug.fr). EMAA is supported by the Observatoire des Sciences de l'Univers de Grenoble (OSUG),Creative Commons Attribution 4.0 International,Data access and use are ruled by the EMAA data policy.",19 rotation energy levels / 45 radiative transitions / 171 collisional transitions for ortho-H2 (10 temperatures in the range 5-500K) / 171 collisional transitions for para-H2 (10 temperatures in the range 5-500K),mds,True,findable,0,0,0,0,0,2023-12-07T15:51:42.000Z,2023-12-07T15:51:43.000Z,inist.osug,jbru,"target ortho-H2[34S],excitationType Rotation,collisional excitation,collider.0 ortho-H2,collider.1 para-H2,astrophysics,interstellar medium,comets,circumstellar medium,gas,microwave spectroscopy,infrared spectroscopy,rotational excitation,rovibrational excitation,vibrational excitation,electronic excitation,collisional rate coefficients,fine structure,hyperfine structure","[{'subject': 'target ortho-H2[34S]', 'subjectScheme': 'main'}, {'subject': 'excitationType Rotation', 'subjectScheme': 'main'}, {'subject': 'collisional excitation', 'subjectScheme': 'main'}, {'subject': 'collider.0 ortho-H2', 'subjectScheme': 'var'}, {'subject': 'collider.1 para-H2', 'subjectScheme': 'var'}, {'subject': 'astrophysics', 'subjectScheme': 'var'}, {'subject': 'interstellar medium', 'subjectScheme': 'var'}, {'subject': 'comets', 'subjectScheme': 'var'}, {'subject': 'circumstellar medium', 'subjectScheme': 'var'}, {'subject': 'gas', 'subjectScheme': 'var'}, {'subject': 'microwave spectroscopy', 'subjectScheme': 'var'}, {'subject': 'infrared spectroscopy', 'subjectScheme': 'var'}, {'subject': 'rotational excitation', 'subjectScheme': 'var'}, {'subject': 'rovibrational excitation', 'subjectScheme': 'var'}, {'subject': 'vibrational excitation', 'subjectScheme': 'var'}, {'subject': 'electronic excitation', 'subjectScheme': 'var'}, {'subject': 'collisional rate coefficients', 'subjectScheme': 'var'}, {'subject': 'fine structure', 'subjectScheme': 'var'}, {'subject': 'hyperfine structure', 'subjectScheme': 'var'}]",,['Radex']
+10.17178/amma-catch.cl.pond_gha,"Surface water dataset (pond water level and turbidity), on the Agoufou pond (250 km2 watershed), Mali","IRD, CNRS-INSU, OSUG, OMP, OREME",2011,en,Dataset,"Creative Commons Attribution 4.0 International,Data access and use are ruled by the AMMA-CATCH data policy.,For any publication using AMMA-CATCH data, authors are asked to:
+
+Mandatory: cite the reference article and the DOI of the observatory
+
+ (1) Galle et al. (2018). AMMA-CATCH a Critical Zone Observatory in West Africa Monitoring a Region in Transition. Vadose Zone Journal, 17 (1), 18006.
+ (2) AMMA-CATCH (1990). AMMA-CATCH : a hydrological, meteorological and ecological observatory on West Africa. IRD, CNRS-INSU, OSUG, OMP, OREME. doi:10.17178/AMMA-CATCH.all
+
+Optional: cite the DOI of each dataset used.
+
+Co-authorship: depending on the contribution of the data to the scientific results obtained, the authors should either propose co-authorship to the data providers or at least acknowledge their contribution.",Monitor the water height level in the Agoufou pond in order to assess the volume of water stored and lost using specific calibration relation based on topographic survey and remote sensing data analysis. Monitor the pond turbidity.,mds,True,findable,0,0,1,0,0,2018-03-16T15:37:10.000Z,2018-03-16T15:37:10.000Z,inist.osug,jbru,"Water level, pond, water balance, turbidity, sediment load,Sahelian/Saharan climate,Water Level,Turbidity,Surface Suspended Sediment Concentration","[{'subject': 'Water level, pond, water balance, turbidity, sediment load', 'subjectScheme': 'main'}, {'subject': 'Sahelian/Saharan climate', 'subjectScheme': 'main'}, {'subject': 'Water Level', 'subjectScheme': 'var'}, {'subject': 'Turbidity', 'subjectScheme': 'var'}, {'subject': 'Surface Suspended Sediment Concentration', 'subjectScheme': 'var'}]",,"['CSV', 'NETCDF', 'O&M 1.0']"
+10.18709/perscido.2023.04.ds390,"Snow spectral albedo, specific surface area and optical grain diameter timeseries from 5-year summer observations at two windy coastal locations of Antarctica",PerSCiDO,2023,,Dataset,,"This dataset contains a in-situ measurements of the spectral albedo acquired during 5 summer seasons at two coastal locations close to the French research station of Dumont d'Urville, in East Antarctica. The measurements were acquired with the Multiband albedometer and corrected for stray light, cosine response of the collector and surface slope under the albedometer's footprint. The snow specific surface area and optical grain diameter were then retrieved from the spectral albedo. All details about the Multiband instrument, the measurement processing and uncertainties are provded in the accompanying paper. The dataset also contains the codes and the auxiliary data used to produce the figures of the article.",api,True,findable,0,0,0,0,0,2023-04-23T13:39:51.000Z,2023-04-23T13:39:51.000Z,inist.persyval,vcob,"glaciology,Environmental Science and Ecology","[{'subject': 'glaciology', 'subjectScheme': 'https://perscido.univ-grenoble-alpes.fr/glaciology'}, {'subject': 'Environmental Science and Ecology', 'subjectScheme': 'http://www.radar-projekt.org/display/Environmental_Science_and_Ecology'}]",['10 Mo'],
+10.48537/hal-03220316,"Anxious Atmospheres of the Apologetic State, The Reconciliation Narrative and Contemporary Settler Colonialism",Reseau International Ambiances,2020,en,Text,Creative Commons Attribution Non Commercial No Derivatives 2.0 Generic,"This article explores how atmos- pheres in Canada are informed by a colonial attitude, logic of replacement, and hegemonic narratives of relationships to place to suggest that the inconsistencies between the politics of apology and the colonial response when the spatial order is challenged generates settler anxiety. This provocation is offered by consi- dering the ongoing reconciliation rhetoric and decolonial resistance. The former illustrates the stage-value of the æsthethics of reconci- liation manifest in politically charged sensitive atmospheres and the latter shows how colonial reaction to the deviant or resistant body illuminates the political potency of corporeal space.",mds,True,findable,0,0,0,0,0,2021-06-17T09:44:36.000Z,2021-06-17T09:44:37.000Z,jbru.aau,jbru,"Settler Colonialism,Political Apology,Atmosphere,Reconciliation","[{'lang': 'eng', 'subject': 'Settler Colonialism'}, {'lang': 'eng', 'subject': 'Political Apology'}, {'lang': 'eng', 'subject': 'Atmosphere'}, {'lang': 'eng', 'subject': 'Reconciliation'}]",['6 pages'],['application/pdf']
+10.5281/zenodo.8052969,Garaffa_et_al_OE_2023_Supplemental_Information,Zenodo,2023,,Dataset,Creative Commons Attribution 4.0 International,"Supplemental Information. Garaffa et al., Stocktake of G20 countries' climate pledges reveals limited macroeconomic costs and employment shifts, One Earth (2023), https://doi.org/10.1016/j.oneear.2023.10.012Â
+List of policies included in the scenarios (CurPol, NDC-LTS and 1.5C)",mds,True,findable,0,0,0,0,0,2023-06-19T12:55:33.000Z,2023-06-19T12:55:34.000Z,cern.zenodo,cern,,,,
+10.17178/emaa_dcn_hyperfine_0b4f7ab6,Hyperfine excitation of DCN by electron and para-H2 collisions,"UGA, CNRS, CNRS-INSU, OSUG",2021,en,Dataset,"Please acknowledge the use of EMAA Database by citing the original articles in which the data were published (BibTeX format available), and adding the following sentence in your publication:
+This research has made use of spectroscopic and collisional data from the EMAA database (https://emaa.osug.fr). EMAA is supported by the Observatoire des Sciences de l'Univers de Grenoble (OSUG),Creative Commons Attribution 4.0 International,Data access and use are ruled by the EMAA data policy.",19 hyperfine energy levels / 33 radiative transitions / 171 collisional transitions for para-H2 (6 temperatures in the range 5-30K) / 165 collisional transitions for electron (10 temperatures in the range 10-1000K),mds,True,findable,0,0,0,0,0,2022-02-07T11:24:23.000Z,2022-02-07T11:24:24.000Z,inist.osug,jbru,"target DCN,excitationType Hyperfine,collisional excitation,collider.0 para-H2,collider.1 electron,astrophysics,interstellar medium,comets,circumstellar medium,gas,microwave spectroscopy,infrared spectroscopy,rotational excitation,rovibrational excitation,vibrational excitation,electronic excitation,collisional rate coefficients,fine structure,hyperfine structure","[{'subject': 'target DCN', 'subjectScheme': 'main'}, {'subject': 'excitationType Hyperfine', 'subjectScheme': 'main'}, {'subject': 'collisional excitation', 'subjectScheme': 'main'}, {'subject': 'collider.0 para-H2', 'subjectScheme': 'var'}, {'subject': 'collider.1 electron', 'subjectScheme': 'var'}, {'subject': 'astrophysics', 'subjectScheme': 'var'}, {'subject': 'interstellar medium', 'subjectScheme': 'var'}, {'subject': 'comets', 'subjectScheme': 'var'}, {'subject': 'circumstellar medium', 'subjectScheme': 'var'}, {'subject': 'gas', 'subjectScheme': 'var'}, {'subject': 'microwave spectroscopy', 'subjectScheme': 'var'}, {'subject': 'infrared spectroscopy', 'subjectScheme': 'var'}, {'subject': 'rotational excitation', 'subjectScheme': 'var'}, {'subject': 'rovibrational excitation', 'subjectScheme': 'var'}, {'subject': 'vibrational excitation', 'subjectScheme': 'var'}, {'subject': 'electronic excitation', 'subjectScheme': 'var'}, {'subject': 'collisional rate coefficients', 'subjectScheme': 'var'}, {'subject': 'fine structure', 'subjectScheme': 'var'}, {'subject': 'hyperfine structure', 'subjectScheme': 'var'}]",,['Radex']
+10.5281/zenodo.8296848,Cophylogeny reconstruction allowing for multiple associations through approximate Bayesian computation,Zenodo,2023,,Other,"Creative Commons Attribution 4.0 International,Open Access","Phylogenetic tree reconciliation is extensively employed for the examination of coevolution between host and symbiont species. An important concern is the requirement for dependable cost values when selecting event-based parsimonious reconciliation. Although certain approaches deduce event probabilities unique to each pair of host and symbiont trees, which can subsequently be converted into cost values, a significant limitation lies in their inability to model the <em>invasion</em> of diverse host species by the same symbiont species (termed as a spread event), which is believed to occur in symbiotic relationships. Invasions lead to the observation of multiple associations between symbionts and their hosts (indicating that a symbiont is no longer exclusive to a single host), which are incompatible with the existing methods of coevolution. Here, we present a method called AmoCoala (an enhanced version of the tool Coala) that provides a more realistic estimation of cophylogeny event probabilities for a given pair of host and symbiont trees, even in the presence of spread events. We expand the classical 4-event coevolutionary model to include 2 additional spread events (vertical and horizontal spreads) that lead to multiple associations. In the initial step, we estimate the probabilities of spread events using heuristic frequencies. Subsequently, in the second step, we employ an approximate Bayesian computation (ABC) approach to infer the probabilities of the remaining 4 classical events (cospeciation, duplication, host switch, and loss) based on these values. By incorporating spread events, our reconciliation model enables a more accurate consideration of multiple associations. This improvement enhances the precision of estimated cost sets, paving the way to a more reliable reconciliation of host and symbiont trees. To validate our method, we conducted experiments on synthetic datasets and demonstrated its efficacy using real-world examples. Our results showcase that AmoCoala produces biologically plausible reconciliation scenarios, further emphasizing its effectiveness.The software is accessible at https://github.com/sinaimeri/AmoCoala.",mds,True,findable,0,0,0,0,0,2023-08-29T15:29:58.000Z,2023-08-29T15:29:58.000Z,cern.zenodo,cern,"reconciliation,cophylogeny,ABC method,spread","[{'subject': 'reconciliation'}, {'subject': 'cophylogeny'}, {'subject': 'ABC method'}, {'subject': 'spread'}]",,
+10.18709/perscido.2019.10.ds267,Benchmark MODECOGeL,PerSciDo,2019,en,Dataset,,A global sensitivity analysis approach for marine biogeochemical modeling,fabrica,True,findable,0,0,0,0,0,2019-10-18T12:55:06.000Z,2019-10-18T12:55:07.000Z,inist.persyval,vcob,"Computer Science,Mathematics,FOS: Mathematics,FOS: Mathematics,Biochemistry","[{'lang': 'en', 'subject': 'Computer Science'}, {'lang': 'en', 'subject': 'Mathematics'}, {'subject': 'FOS: Mathematics', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'FOS: Mathematics', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'lang': 'en', 'subject': 'Biochemistry'}]",['6.1 GB'],['zip']
+10.5281/zenodo.10053093,COSIPY distributed simulations of Mera Glacier mass and energy balance (20161101-20201101),Zenodo,2023,,Dataset,"Creative Commons Attribution 4.0 International,Creative Commons Attribution Share Alike 4.0 International","The four netCDF files contain outputs from COSIPY model (Sauter et al., 2020) for Mera Glacier for the period 20161101 to 20201101. The model is run on a 0.003°*0.003° grid, and forced with meteological variables collected locally and distributed with constant gradients. The ""constants.py"" is the python file that contains the specific model settings.",api,True,findable,0,0,0,0,0,2023-10-30T09:06:58.000Z,2023-10-30T09:06:58.000Z,cern.zenodo,cern,,,,
+10.17178/draixbleone_gal_ain_met_1920,Meteorological data at the Ainac station of the Galabre watershed,IGE - CNRS - OSUG,2020,en,Dataset,"Creative Commons Attribution 4.0 International,The following acknowledging sentence should appear in publications using data and products from the Galabre watershed of the Draix Bleone Observatory: ""DRAIX BLEONE is funded by the Institut National des Sciences de l’Univers (INSU/CNRS) and the Observatoire des Sciences de l’Univers de Grenoble (OSUG / Université Grenoble Alpes)â€.,Always quote below citation to Legout et al. (submitted) when using these data. Legout C., Freche G., Biron R., Esteves M., Nord G, Navratil O., Uber M., Grangeon T., Hachgenei N., Boudevillain B. Voiron C., Spadini L. A critical zone observatory dedicated to suspended sediment transport: the meso-scale Galabre catchment (southern French Alps), submitted to Hydrological Processes.",This meteorological data set is part of the DRAIXBLEONE_GAL observatory.,mds,True,findable,0,0,0,0,0,2020-09-15T15:58:33.000Z,2020-09-15T15:58:33.000Z,inist.osug,jbru,"Mediterranean mountainous climate,Precipitation,Meteorology","[{'subject': 'Mediterranean mountainous climate', 'subjectScheme': 'main'}, {'subject': 'Precipitation', 'subjectScheme': 'var'}, {'subject': 'Meteorology', 'subjectScheme': 'var'}]",,['CSV']
+10.48537/hal-03220291,"Body, Culture, Identity, Session 4 – Introduction",Reseau International Ambiances,2020,en,Text,Creative Commons Attribution Non Commercial No Derivatives 2.0 Generic,,mds,True,findable,0,0,0,0,0,2021-06-17T10:17:41.000Z,2021-06-17T10:17:42.000Z,jbru.aau,jbru,,,['3 pages'],['application/pdf']
10.17178/amma-catch.ce.sw_odc,"Soil dataset (soil moisture, temperature, and succion profiles),within the Donga watershed (600 km2), Benin","IRD, CNRS-INSU, OSUG, OMP, OREME",2005,en,Dataset,"Creative Commons Attribution 4.0 International,Data access and use are ruled by the AMMA-CATCH data policy.,For any publication using AMMA-CATCH data, authors are asked to:
Mandatory: cite the reference article and the DOI of the observatory
@@ -3088,11 +2386,12 @@ Mandatory: cite the reference article and the DOI of the observatory
Optional: cite the DOI of each dataset used.
Co-authorship: depending on the contribution of the data to the scientific results obtained, the authors should either propose co-authorship to the data providers or at least acknowledge their contribution.",Document soil water redistribution in the upper soil layer along three catenae. Estimate the influence of the vegetation type on the water dynamics.,mds,True,findable,0,0,1,0,0,2018-03-16T15:37:05.000Z,2018-03-16T15:37:06.000Z,inist.osug,jbru,"Soil moisture/water content, soil water/succion pressure, soil temperature,Sudanian climate,Soil Moisture/Water Content at depth 25 cm,Soil Water/Watermark Resistance at depth 1.3 m,Soil Water/Succion at depth 60 cm,Soil Water/Watermark Resistance at depth 10 cm,Soil Water/Succion at depth 10 cm,Soil Temperature at depth 50 cm,Soil Moisture/Water Content at depth 1 m,Soil Water/Watermark Resistance at depth 1.5 m,Soil Water/Watermark Resistance at depth 80 cm,Soil Water/Succion at depth 80 cm,Soil Moisture/CS616 Period at depth 1 m,Soil Moisture/CS616 Period at depth 10 cm,Soil Water/Succion at depth 2 m,Soil Water/Watermark Resistance at depth 50 cm,Soil Water/Watermark Resistance at depth 2.9 m,Soil Moisture/Water Content at depth 80 cm,Soil Water/Watermark Resistance at depth 2.8 m,Soil Moisture/Water Content at depth 5 cm,Soil Moisture/CS616 Period at depth 40 cm,Soil Water/Succion at depth 2.8 m,Soil Water/Watermark Resistance at depth 1.9 m,Soil Temperature at depth 80 cm,Soil Moisture/Water Content at depth 40 cm,Soil Moisture/CS616 Period at depth 80 cm,Soil Water/Succion at depth 25 cm,Soil Water/Succion at depth 2.4 m,Soil Water/Succion at depth 1 m,Soil Water/Succion at depth 40 cm,Soil Moisture/Water Content at depth 10 cm,Soil Water/Watermark Resistance at depth 3 m,Soil Water/Succion at depth 1.2 m,Soil Water/Watermark Resistance at depth 1.2 m,Soil Moisture/CS616 Period at depth 50 cm,Soil Water/Watermark Resistance at depth 1.4 m,Soil Temperature at depth 5 cm,Soil Water/Watermark Resistance at depth 2 m,Soil Moisture/CS616 Period at depth 5 cm,Soil Water/Watermark Resistance at depth 2.4 m,Soil Moisture/CS616 Period at depth 25 cm,Soil Water/Succion at depth 1.8 m,Soil Temperature at depth 40 cm,Soil Water/Succion at depth 2.5 m,Soil Water/Succion at depth 20 cm,Soil Temperature at depth 20 cm,Soil Temperature at depth 1.5 m,Soil Water/Succion at depth 3 m,Soil Water/Succion at depth 50 cm,Soil Moisture/Water Content at depth 1.2 m,Soil Moisture/CS616 Period at depth 20 cm,Soil Moisture/CS616 Period at depth 1.2 m,Soil Water/Succion at depth 1.9 m,Soil Moisture/CS616 Period at depth 60 cm,Soil Temperature at depth 1.2 m,Soil Temperature at depth 10 cm,Soil Water/Succion at depth 2.2 m,Soil Temperature at depth 60 cm,Soil Water/Succion at depth 1.5 m,Soil Moisture/Water Content at depth 50 cm,Soil Moisture/Water Content at depth 20 cm,Soil Water/Watermark Resistance at depth 2.5 m,Soil Water/Watermark Resistance at depth 40 cm,Soil Water/Watermark Resistance at depth 60 cm,Soil Moisture/Water Content at depth 60 cm,Soil Water/Watermark Resistance at depth 1.8 m,Soil Water/Succion at depth 2.9 m,Soil Temperature at depth 25 cm,Soil Water/Succion at depth 1.3 m,Soil Water/Watermark Resistance at depth 25 cm,Soil Water/Watermark Resistance at depth 1 m,Soil Temperature at depth 1 m,Soil Water/Watermark Resistance at depth 2.2 m,Soil Water/Watermark Resistance at depth 20 cm,Soil Water/Succion at depth 1.4 m","[{'subject': 'Soil moisture/water content, soil water/succion pressure, soil temperature', 'subjectScheme': 'main'}, {'subject': 'Sudanian climate', 'subjectScheme': 'main'}, {'subject': 'Soil Moisture/Water Content at depth 25 cm', 'subjectScheme': 'var'}, {'subject': 'Soil Water/Watermark Resistance at depth 1.3 m', 'subjectScheme': 'var'}, {'subject': 'Soil Water/Succion at depth 60 cm', 'subjectScheme': 'var'}, {'subject': 'Soil Water/Watermark Resistance at depth 10 cm', 'subjectScheme': 'var'}, {'subject': 'Soil Water/Succion at depth 10 cm', 'subjectScheme': 'var'}, {'subject': 'Soil Temperature at depth 50 cm', 'subjectScheme': 'var'}, {'subject': 'Soil Moisture/Water Content at depth 1 m', 'subjectScheme': 'var'}, {'subject': 'Soil Water/Watermark Resistance at depth 1.5 m', 'subjectScheme': 'var'}, {'subject': 'Soil Water/Watermark Resistance at depth 80 cm', 'subjectScheme': 'var'}, {'subject': 'Soil Water/Succion at depth 80 cm', 'subjectScheme': 'var'}, {'subject': 'Soil Moisture/CS616 Period at depth 1 m', 'subjectScheme': 'var'}, {'subject': 'Soil Moisture/CS616 Period at depth 10 cm', 'subjectScheme': 'var'}, {'subject': 'Soil Water/Succion at depth 2 m', 'subjectScheme': 'var'}, {'subject': 'Soil Water/Watermark Resistance at depth 50 cm', 'subjectScheme': 'var'}, {'subject': 'Soil Water/Watermark Resistance at depth 2.9 m', 'subjectScheme': 'var'}, {'subject': 'Soil Moisture/Water Content at depth 80 cm', 'subjectScheme': 'var'}, {'subject': 'Soil Water/Watermark Resistance at depth 2.8 m', 'subjectScheme': 'var'}, {'subject': 'Soil Moisture/Water Content at depth 5 cm', 'subjectScheme': 'var'}, {'subject': 'Soil Moisture/CS616 Period at depth 40 cm', 'subjectScheme': 'var'}, {'subject': 'Soil Water/Succion at depth 2.8 m', 'subjectScheme': 'var'}, {'subject': 'Soil Water/Watermark Resistance at depth 1.9 m', 'subjectScheme': 'var'}, {'subject': 'Soil Temperature at depth 80 cm', 'subjectScheme': 'var'}, {'subject': 'Soil Moisture/Water Content at depth 40 cm', 'subjectScheme': 'var'}, {'subject': 'Soil Moisture/CS616 Period at depth 80 cm', 'subjectScheme': 'var'}, {'subject': 'Soil Water/Succion at depth 25 cm', 'subjectScheme': 'var'}, {'subject': 'Soil Water/Succion at depth 2.4 m', 'subjectScheme': 'var'}, {'subject': 'Soil Water/Succion at depth 1 m', 'subjectScheme': 'var'}, {'subject': 'Soil Water/Succion at depth 40 cm', 'subjectScheme': 'var'}, {'subject': 'Soil Moisture/Water Content at depth 10 cm', 'subjectScheme': 'var'}, {'subject': 'Soil Water/Watermark Resistance at depth 3 m', 'subjectScheme': 'var'}, {'subject': 'Soil Water/Succion at depth 1.2 m', 'subjectScheme': 'var'}, {'subject': 'Soil Water/Watermark Resistance at depth 1.2 m', 'subjectScheme': 'var'}, {'subject': 'Soil Moisture/CS616 Period at depth 50 cm', 'subjectScheme': 'var'}, {'subject': 'Soil Water/Watermark Resistance at depth 1.4 m', 'subjectScheme': 'var'}, {'subject': 'Soil Temperature at depth 5 cm', 'subjectScheme': 'var'}, {'subject': 'Soil Water/Watermark Resistance at depth 2 m', 'subjectScheme': 'var'}, {'subject': 'Soil Moisture/CS616 Period at depth 5 cm', 'subjectScheme': 'var'}, {'subject': 'Soil Water/Watermark Resistance at depth 2.4 m', 'subjectScheme': 'var'}, {'subject': 'Soil Moisture/CS616 Period at depth 25 cm', 'subjectScheme': 'var'}, {'subject': 'Soil Water/Succion at depth 1.8 m', 'subjectScheme': 'var'}, {'subject': 'Soil Temperature at depth 40 cm', 'subjectScheme': 'var'}, {'subject': 'Soil Water/Succion at depth 2.5 m', 'subjectScheme': 'var'}, {'subject': 'Soil Water/Succion at depth 20 cm', 'subjectScheme': 'var'}, {'subject': 'Soil Temperature at depth 20 cm', 'subjectScheme': 'var'}, {'subject': 'Soil Temperature at depth 1.5 m', 'subjectScheme': 'var'}, {'subject': 'Soil Water/Succion at depth 3 m', 'subjectScheme': 'var'}, {'subject': 'Soil Water/Succion at depth 50 cm', 'subjectScheme': 'var'}, {'subject': 'Soil Moisture/Water Content at depth 1.2 m', 'subjectScheme': 'var'}, {'subject': 'Soil Moisture/CS616 Period at depth 20 cm', 'subjectScheme': 'var'}, {'subject': 'Soil Moisture/CS616 Period at depth 1.2 m', 'subjectScheme': 'var'}, {'subject': 'Soil Water/Succion at depth 1.9 m', 'subjectScheme': 'var'}, {'subject': 'Soil Moisture/CS616 Period at depth 60 cm', 'subjectScheme': 'var'}, {'subject': 'Soil Temperature at depth 1.2 m', 'subjectScheme': 'var'}, {'subject': 'Soil Temperature at depth 10 cm', 'subjectScheme': 'var'}, {'subject': 'Soil Water/Succion at depth 2.2 m', 'subjectScheme': 'var'}, {'subject': 'Soil Temperature at depth 60 cm', 'subjectScheme': 'var'}, {'subject': 'Soil Water/Succion at depth 1.5 m', 'subjectScheme': 'var'}, {'subject': 'Soil Moisture/Water Content at depth 50 cm', 'subjectScheme': 'var'}, {'subject': 'Soil Moisture/Water Content at depth 20 cm', 'subjectScheme': 'var'}, {'subject': 'Soil Water/Watermark Resistance at depth 2.5 m', 'subjectScheme': 'var'}, {'subject': 'Soil Water/Watermark Resistance at depth 40 cm', 'subjectScheme': 'var'}, {'subject': 'Soil Water/Watermark Resistance at depth 60 cm', 'subjectScheme': 'var'}, {'subject': 'Soil Moisture/Water Content at depth 60 cm', 'subjectScheme': 'var'}, {'subject': 'Soil Water/Watermark Resistance at depth 1.8 m', 'subjectScheme': 'var'}, {'subject': 'Soil Water/Succion at depth 2.9 m', 'subjectScheme': 'var'}, {'subject': 'Soil Temperature at depth 25 cm', 'subjectScheme': 'var'}, {'subject': 'Soil Water/Succion at depth 1.3 m', 'subjectScheme': 'var'}, {'subject': 'Soil Water/Watermark Resistance at depth 25 cm', 'subjectScheme': 'var'}, {'subject': 'Soil Water/Watermark Resistance at depth 1 m', 'subjectScheme': 'var'}, {'subject': 'Soil Temperature at depth 1 m', 'subjectScheme': 'var'}, {'subject': 'Soil Water/Watermark Resistance at depth 2.2 m', 'subjectScheme': 'var'}, {'subject': 'Soil Water/Watermark Resistance at depth 20 cm', 'subjectScheme': 'var'}, {'subject': 'Soil Water/Succion at depth 1.4 m', 'subjectScheme': 'var'}]",,"['CSV', 'NETCDF', 'O&M 1.0']"
-10.17178/cryobsclim.cdp.2018.metsafran,"Col de Porte, Hourly meteorological data from SAFRAN reanalysis",CNRS - OSUG - Meteo France,2018,en,Dataset,"Data access and use are ruled by the CRYOBS-CLIM data policy.,Always quote below citation to Lejeune et al. (2019) when using data.
- Lejeune, Y., Dumont, M., Panel J.-M., Lafaysse, M., Lapalus, P., Le Gac, E., Lesaffre, B. and Morin, S., 57 years (1960-2017) of snow and meteorological observations from a mid-altitude mountain site (Col de Porte, France, 1325 m alt.), Earth System Science Data, 11(2019), 71-88, https://doi.org/10.5194/essd-11-71-2019. The following acknowledging sentence should appear in publications using Cryobs-Clim-CDP data and products: ""Cryobs-Clim Col de Porte is funded by Meteo France, the Institut National des Sciences de l’Univers (INSU/CNRS), and the Observatoire des Sciences de l’Univers de Grenoble (OSUG / Université Grenoble Alpes)â€. You are invited to contact the PI(s) or lead scientist for more information about the data and to include the acknowledgement sentence in any publication using the data.","This dataset is part of the Cryobs-Clim-CDP (CRYosphere, an OBServatory of the CLIMate – Col de Porte) observatory",mds,True,findable,0,0,1,0,0,2018-07-19T07:26:36.000Z,2018-07-19T07:27:38.000Z,inist.osug,jbru,"Air Temperature,Specific Humidity,Wind speed,Rainfall rate,Snowfall rate,Incident longwave radiation,Incident shortwave direct radiation,Incident shortwave diffuse radiation,Surface pressure,Nebulosity","[{'subject': 'Air Temperature', 'subjectScheme': 'main'}, {'subject': 'Specific Humidity', 'subjectScheme': 'main'}, {'subject': 'Wind speed', 'subjectScheme': 'main'}, {'subject': 'Rainfall rate', 'subjectScheme': 'main'}, {'subject': 'Snowfall rate', 'subjectScheme': 'main'}, {'subject': 'Incident longwave radiation', 'subjectScheme': 'main'}, {'subject': 'Incident shortwave direct radiation', 'subjectScheme': 'main'}, {'subject': 'Incident shortwave diffuse radiation', 'subjectScheme': 'main'}, {'subject': 'Surface pressure', 'subjectScheme': 'main'}, {'subject': 'Nebulosity', 'subjectScheme': 'main'}]",,['netCDF']
-10.17178/emaa_ortho-(13c)c2h2_rotation_a4239764,Rotation excitation of ortho-c-[13C]C2H2 by He and para-H2 collisions,"UGA, CNRS, CNRS-INSU, OSUG",2023,en,Dataset,"Please acknowledge the use of EMAA Database by citing the original articles in which the data were published (BibTeX format available), and adding the following sentence in your publication:
-This research has made use of spectroscopic and collisional data from the EMAA database (https://emaa.osug.fr). EMAA is supported by the Observatoire des Sciences de l'Univers de Grenoble (OSUG),Creative Commons Attribution 4.0 International,Data access and use are ruled by the EMAA data policy.",49 rotation energy levels / 109 radiative transitions / 1176 collisional transitions for para-H2 (9 temperatures in the range 5-120K) / 1176 collisional transitions for He (9 temperatures in the range 5-120K),mds,True,findable,0,0,0,0,0,2023-12-07T15:51:34.000Z,2023-12-07T15:51:35.000Z,inist.osug,jbru,"target ortho-c-[13C]C2H2,excitationType Rotation,collisional excitation,collider.0 para-H2,collider.1 He,astrophysics,interstellar medium,comets,circumstellar medium,gas,microwave spectroscopy,infrared spectroscopy,rotational excitation,rovibrational excitation,vibrational excitation,electronic excitation,collisional rate coefficients,fine structure,hyperfine structure","[{'subject': 'target ortho-c-[13C]C2H2', 'subjectScheme': 'main'}, {'subject': 'excitationType Rotation', 'subjectScheme': 'main'}, {'subject': 'collisional excitation', 'subjectScheme': 'main'}, {'subject': 'collider.0 para-H2', 'subjectScheme': 'var'}, {'subject': 'collider.1 He', 'subjectScheme': 'var'}, {'subject': 'astrophysics', 'subjectScheme': 'var'}, {'subject': 'interstellar medium', 'subjectScheme': 'var'}, {'subject': 'comets', 'subjectScheme': 'var'}, {'subject': 'circumstellar medium', 'subjectScheme': 'var'}, {'subject': 'gas', 'subjectScheme': 'var'}, {'subject': 'microwave spectroscopy', 'subjectScheme': 'var'}, {'subject': 'infrared spectroscopy', 'subjectScheme': 'var'}, {'subject': 'rotational excitation', 'subjectScheme': 'var'}, {'subject': 'rovibrational excitation', 'subjectScheme': 'var'}, {'subject': 'vibrational excitation', 'subjectScheme': 'var'}, {'subject': 'electronic excitation', 'subjectScheme': 'var'}, {'subject': 'collisional rate coefficients', 'subjectScheme': 'var'}, {'subject': 'fine structure', 'subjectScheme': 'var'}, {'subject': 'hyperfine structure', 'subjectScheme': 'var'}]",,['Radex']
-10.17178/amma-catch.ae.h2oflux_odc,"Surface flux dataset (including meteorological data, radiative budget, surface energy, water vapor and carbon fluxes), within the Donga watershed (600 km2), Benin","IRD, CNRS-INSU, OSUG, OMP, OREME",2005,en,Dataset,"Creative Commons Attribution 4.0 International,Data access and use are ruled by the AMMA-CATCH data policy.,For any publication using AMMA-CATCH data, authors are asked to:
+10.6084/m9.figshare.23575378,Additional file 7 of Decoupling of arsenic and iron release from ferrihydrite suspension under reducing conditions: a biogeochemical model,figshare,2023,,Text,Creative Commons Attribution 4.0 International,Authors’ original file for figure 6,mds,True,findable,0,0,0,0,0,2023-06-25T03:11:55.000Z,2023-06-25T03:11:56.000Z,figshare.ars,otjm,"59999 Environmental Sciences not elsewhere classified,FOS: Earth and related environmental sciences,39999 Chemical Sciences not elsewhere classified,FOS: Chemical sciences,Ecology,FOS: Biological sciences,69999 Biological Sciences not elsewhere classified,Cancer","[{'subject': '59999 Environmental Sciences not elsewhere classified', 'schemeUri': 'http://www.abs.gov.au/ausstats/abs@.nsf/0/6BB427AB9696C225CA2574180004463E', 'subjectScheme': 'FOR'}, {'subject': 'FOS: Earth and related environmental sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': '39999 Chemical Sciences not elsewhere classified', 'schemeUri': 'http://www.abs.gov.au/ausstats/abs@.nsf/0/6BB427AB9696C225CA2574180004463E', 'subjectScheme': 'FOR'}, {'subject': 'FOS: Chemical sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Ecology'}, {'subject': 'FOS: Biological sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': '69999 Biological Sciences not elsewhere classified', 'schemeUri': 'http://www.abs.gov.au/ausstats/abs@.nsf/0/6BB427AB9696C225CA2574180004463E', 'subjectScheme': 'FOR'}, {'subject': 'Cancer'}]",['26112 Bytes'],
+10.17178/emaa_oh_hyperfine_72d6c3c5,"Hyperfine excitation of OH by H, ortho-H2 and para-H2 collisions","UGA, CNRS, CNRS-INSU, OSUG",2022,en,Dataset,"Please acknowledge the use of EMAA Database by citing the original articles in which the data were published (BibTeX format available), and adding the following sentence in your publication:
+This research has made use of spectroscopic and collisional data from the EMAA database (https://emaa.osug.fr). EMAA is supported by the Observatoire des Sciences de l'Univers de Grenoble (OSUG),Creative Commons Attribution 4.0 International,Data access and use are ruled by the EMAA data policy.",24 hyperfine energy levels / 95 radiative transitions / 264 collisional transitions for para-H2 (7 temperatures in the range 10-150K) / 264 collisional transitions for ortho-H2 (7 temperatures in the range 10-150K) / 276 collisional transitions for H (11 temperatures in the range 5-500K),mds,True,findable,0,0,0,0,0,2023-12-07T15:51:31.000Z,2023-12-07T15:51:32.000Z,inist.osug,jbru,"target OH,excitationType Hyperfine,collisional excitation,collider.0 para-H2,collider.1 ortho-H2,collider.2 H,astrophysics,interstellar medium,comets,circumstellar medium,gas,microwave spectroscopy,infrared spectroscopy,rotational excitation,rovibrational excitation,vibrational excitation,electronic excitation,collisional rate coefficients,fine structure,hyperfine structure","[{'subject': 'target OH', 'subjectScheme': 'main'}, {'subject': 'excitationType Hyperfine', 'subjectScheme': 'main'}, {'subject': 'collisional excitation', 'subjectScheme': 'main'}, {'subject': 'collider.0 para-H2', 'subjectScheme': 'var'}, {'subject': 'collider.1 ortho-H2', 'subjectScheme': 'var'}, {'subject': 'collider.2 H', 'subjectScheme': 'var'}, {'subject': 'astrophysics', 'subjectScheme': 'var'}, {'subject': 'interstellar medium', 'subjectScheme': 'var'}, {'subject': 'comets', 'subjectScheme': 'var'}, {'subject': 'circumstellar medium', 'subjectScheme': 'var'}, {'subject': 'gas', 'subjectScheme': 'var'}, {'subject': 'microwave spectroscopy', 'subjectScheme': 'var'}, {'subject': 'infrared spectroscopy', 'subjectScheme': 'var'}, {'subject': 'rotational excitation', 'subjectScheme': 'var'}, {'subject': 'rovibrational excitation', 'subjectScheme': 'var'}, {'subject': 'vibrational excitation', 'subjectScheme': 'var'}, {'subject': 'electronic excitation', 'subjectScheme': 'var'}, {'subject': 'collisional rate coefficients', 'subjectScheme': 'var'}, {'subject': 'fine structure', 'subjectScheme': 'var'}, {'subject': 'hyperfine structure', 'subjectScheme': 'var'}]",,['Radex']
+10.17178/emaa_ch2nh_rotation_6a3d5ab2,Rotation excitation of CH2NH by para-H2 collisions,"UGA, CNRS, CNRS-INSU, OSUG",2023,en,Dataset,"Please acknowledge the use of EMAA Database by citing the original articles in which the data were published (BibTeX format available), and adding the following sentence in your publication:
+This research has made use of spectroscopic and collisional data from the EMAA database (https://emaa.osug.fr). EMAA is supported by the Observatoire des Sciences de l'Univers de Grenoble (OSUG),Creative Commons Attribution 4.0 International,Data access and use are ruled by the EMAA data policy.",15 rotation energy levels / 31 radiative transitions / 105 collisional transitions for para-H2 (6 temperatures in the range 5-30K),mds,True,findable,0,0,0,0,0,2023-12-07T15:50:43.000Z,2023-12-07T15:50:43.000Z,inist.osug,jbru,"target CH2NH,excitationType Rotation,collisional excitation,collider.0 para-H2,astrophysics,interstellar medium,comets,circumstellar medium,gas,microwave spectroscopy,infrared spectroscopy,rotational excitation,rovibrational excitation,vibrational excitation,electronic excitation,collisional rate coefficients,fine structure,hyperfine structure","[{'subject': 'target CH2NH', 'subjectScheme': 'main'}, {'subject': 'excitationType Rotation', 'subjectScheme': 'main'}, {'subject': 'collisional excitation', 'subjectScheme': 'main'}, {'subject': 'collider.0 para-H2', 'subjectScheme': 'var'}, {'subject': 'astrophysics', 'subjectScheme': 'var'}, {'subject': 'interstellar medium', 'subjectScheme': 'var'}, {'subject': 'comets', 'subjectScheme': 'var'}, {'subject': 'circumstellar medium', 'subjectScheme': 'var'}, {'subject': 'gas', 'subjectScheme': 'var'}, {'subject': 'microwave spectroscopy', 'subjectScheme': 'var'}, {'subject': 'infrared spectroscopy', 'subjectScheme': 'var'}, {'subject': 'rotational excitation', 'subjectScheme': 'var'}, {'subject': 'rovibrational excitation', 'subjectScheme': 'var'}, {'subject': 'vibrational excitation', 'subjectScheme': 'var'}, {'subject': 'electronic excitation', 'subjectScheme': 'var'}, {'subject': 'collisional rate coefficients', 'subjectScheme': 'var'}, {'subject': 'fine structure', 'subjectScheme': 'var'}, {'subject': 'hyperfine structure', 'subjectScheme': 'var'}]",,['Radex']
+10.17178/amma-catch.ce.vegsoil_gh,"Vegetation dataset (seasonal physiological functioning of woody vegetation), within the Hombori site (2500 km2), Mali","IRD, CNRS-INSU, OSUG, OMP, OREME",2005,en,Dataset,"Creative Commons Attribution 4.0 International,Data access and use are ruled by the AMMA-CATCH data policy.,For any publication using AMMA-CATCH data, authors are asked to:
Mandatory: cite the reference article and the DOI of the observatory
@@ -3101,14 +2400,9 @@ Mandatory: cite the reference article and the DOI of the observatory
Optional: cite the DOI of each dataset used.
-Co-authorship: depending on the contribution of the data to the scientific results obtained, the authors should either propose co-authorship to the data providers or at least acknowledge their contribution.",Measure components of the local-scale energy budget. Obtain forcing and validation data for modeling of soil-vegetation-atmosphere exchanges in Sudanian climate. Contribute to the flux station network over the AMMA regional transect.,mds,True,findable,0,0,1,0,0,2018-03-16T15:36:52.000Z,2018-03-16T15:36:52.000Z,inist.osug,jbru,"Land surface exchange, water budget, energy budget, Sudanian vegetation, evapo-transpiration, Sudanian hydrology,Sudanian climate,Wind Speed,Net Radiation at height 18 m,Incoming Shortwave Radiation at height 18 m,Relative Humidity at height 18 m,Outgoing Shortwave Radiation at height 18 m,Soil Temperature at depth 10 cm (loc. c),Wind Direction at height 18 m,Air Pressure,Wind Direction at height 5 m,Sensible Heat Flux,Air Pressure at height 5 m,Ventilated Relative Humidity,Soil Temperature at depth 10 cm (loc. a),Relative Humidity,Standard Deviation of Wind Direction at height 18 m,Standard Deviation of Wind Direction at height 15 m,Incoming Shortwave Radiation at height 5 m,Outgoing Shortwave Radiation at height 5 m,Air Temperature at height 5 m,Net Radiation at height 5 m,Ventilated Air Temperature,Air Temperature at height 15 m,Outgoing Longwave Radiation,Wind Speed at height 15 m,Relative Humidity at height 15 m,Standard Deviation of Wind Direction at height 5 m,Incoming Longwave Radiation at height 18 m,Incoming Shortwave Radiation,Carbon Dioxide Mean Concentration,Soil Moisture/Water Content at depth 10 cm (loc. a),Relative Humidity at height 5 m,Carbon Dioxide Mean Concentration at height 18 m,Soil Temperature at depth 20 cm (loc. b),Soil Temperature at depth 50 cm (loc. a),Wind Direction at height 15 m,Wind Direction,Wind Speed at height 5 m,Ventilated Relative Humidity at height 5 m,Soil Moisture/Water Content integrated from 0 to -30 cm (loc. c),Outgoing Longwave Radiation at height 18 m,Soil Temperature at depth 40 cm (loc. b),Latent Heat Flux,Wind Speed at height 18 m,Air Temperature,Soil Temperature at depth 40 cm (loc. c),Standard Deviation of Wind Direction,Soil Temperature at depth 20 cm (loc. c),Soil Moisture/Water Content at depth 50 cm (loc. a),Soil Temperature at depth 10 cm (loc. b),Outgoing Shortwave Radiation,Ventilated Air Temperature at height 5 m,Soil Moisture/Water Content integrated from 0 to -30 cm (loc. b),Air Temperature at height 18 m,Net Radiation,Incoming Longwave Radiation","[{'subject': 'Land surface exchange, water budget, energy budget, Sudanian vegetation, evapo-transpiration, Sudanian hydrology', 'subjectScheme': 'main'}, {'subject': 'Sudanian climate', 'subjectScheme': 'main'}, {'subject': 'Wind Speed', 'subjectScheme': 'var'}, {'subject': 'Net Radiation at height 18 m', 'subjectScheme': 'var'}, {'subject': 'Incoming Shortwave Radiation at height 18 m', 'subjectScheme': 'var'}, {'subject': 'Relative Humidity at height 18 m', 'subjectScheme': 'var'}, {'subject': 'Outgoing Shortwave Radiation at height 18 m', 'subjectScheme': 'var'}, {'subject': 'Soil Temperature at depth 10 cm (loc. c)', 'subjectScheme': 'var'}, {'subject': 'Wind Direction at height 18 m', 'subjectScheme': 'var'}, {'subject': 'Air Pressure', 'subjectScheme': 'var'}, {'subject': 'Wind Direction at height 5 m', 'subjectScheme': 'var'}, {'subject': 'Sensible Heat Flux', 'subjectScheme': 'var'}, {'subject': 'Air Pressure at height 5 m', 'subjectScheme': 'var'}, {'subject': 'Ventilated Relative Humidity', 'subjectScheme': 'var'}, {'subject': 'Soil Temperature at depth 10 cm (loc. a)', 'subjectScheme': 'var'}, {'subject': 'Relative Humidity', 'subjectScheme': 'var'}, {'subject': 'Standard Deviation of Wind Direction at height 18 m', 'subjectScheme': 'var'}, {'subject': 'Standard Deviation of Wind Direction at height 15 m', 'subjectScheme': 'var'}, {'subject': 'Incoming Shortwave Radiation at height 5 m', 'subjectScheme': 'var'}, {'subject': 'Outgoing Shortwave Radiation at height 5 m', 'subjectScheme': 'var'}, {'subject': 'Air Temperature at height 5 m', 'subjectScheme': 'var'}, {'subject': 'Net Radiation at height 5 m', 'subjectScheme': 'var'}, {'subject': 'Ventilated Air Temperature', 'subjectScheme': 'var'}, {'subject': 'Air Temperature at height 15 m', 'subjectScheme': 'var'}, {'subject': 'Outgoing Longwave Radiation', 'subjectScheme': 'var'}, {'subject': 'Wind Speed at height 15 m', 'subjectScheme': 'var'}, {'subject': 'Relative Humidity at height 15 m', 'subjectScheme': 'var'}, {'subject': 'Standard Deviation of Wind Direction at height 5 m', 'subjectScheme': 'var'}, {'subject': 'Incoming Longwave Radiation at height 18 m', 'subjectScheme': 'var'}, {'subject': 'Incoming Shortwave Radiation', 'subjectScheme': 'var'}, {'subject': 'Carbon Dioxide Mean Concentration', 'subjectScheme': 'var'}, {'subject': 'Soil Moisture/Water Content at depth 10 cm (loc. a)', 'subjectScheme': 'var'}, {'subject': 'Relative Humidity at height 5 m', 'subjectScheme': 'var'}, {'subject': 'Carbon Dioxide Mean Concentration at height 18 m', 'subjectScheme': 'var'}, {'subject': 'Soil Temperature at depth 20 cm (loc. b)', 'subjectScheme': 'var'}, {'subject': 'Soil Temperature at depth 50 cm (loc. a)', 'subjectScheme': 'var'}, {'subject': 'Wind Direction at height 15 m', 'subjectScheme': 'var'}, {'subject': 'Wind Direction', 'subjectScheme': 'var'}, {'subject': 'Wind Speed at height 5 m', 'subjectScheme': 'var'}, {'subject': 'Ventilated Relative Humidity at height 5 m', 'subjectScheme': 'var'}, {'subject': 'Soil Moisture/Water Content integrated from 0 to -30 cm (loc. c)', 'subjectScheme': 'var'}, {'subject': 'Outgoing Longwave Radiation at height 18 m', 'subjectScheme': 'var'}, {'subject': 'Soil Temperature at depth 40 cm (loc. b)', 'subjectScheme': 'var'}, {'subject': 'Latent Heat Flux', 'subjectScheme': 'var'}, {'subject': 'Wind Speed at height 18 m', 'subjectScheme': 'var'}, {'subject': 'Air Temperature', 'subjectScheme': 'var'}, {'subject': 'Soil Temperature at depth 40 cm (loc. c)', 'subjectScheme': 'var'}, {'subject': 'Standard Deviation of Wind Direction', 'subjectScheme': 'var'}, {'subject': 'Soil Temperature at depth 20 cm (loc. c)', 'subjectScheme': 'var'}, {'subject': 'Soil Moisture/Water Content at depth 50 cm (loc. a)', 'subjectScheme': 'var'}, {'subject': 'Soil Temperature at depth 10 cm (loc. b)', 'subjectScheme': 'var'}, {'subject': 'Outgoing Shortwave Radiation', 'subjectScheme': 'var'}, {'subject': 'Ventilated Air Temperature at height 5 m', 'subjectScheme': 'var'}, {'subject': 'Soil Moisture/Water Content integrated from 0 to -30 cm (loc. b)', 'subjectScheme': 'var'}, {'subject': 'Air Temperature at height 18 m', 'subjectScheme': 'var'}, {'subject': 'Net Radiation', 'subjectScheme': 'var'}, {'subject': 'Incoming Longwave Radiation', 'subjectScheme': 'var'}]",,"['CSV', 'NETCDF', 'O&M 1.0']"
-10.17178/emaa_cn_hyperfine_d9a30dbd,Hyperfine excitation of CN by electron and para-H2 collisions,"UGA, CNRS, CNRS-INSU, OSUG",2021,en,Dataset,"Please acknowledge the use of EMAA Database by citing the original articles in which the data were published (BibTeX format available), and adding the following sentence in your publication:
-This research has made use of spectroscopic and collisional data from the EMAA database (https://emaa.osug.fr). EMAA is supported by the Observatoire des Sciences de l'Univers de Grenoble (OSUG),Creative Commons Attribution 4.0 International,Data access and use are ruled by the EMAA data policy.",121 hyperfine energy levels / 337 radiative transitions / 2267 collisional transitions for electron (19 temperatures in the range 10-1000K) / 2628 collisional transitions for para-H2 (20 temperatures in the range 5-100K),mds,True,findable,0,0,0,0,0,2021-11-17T14:00:50.000Z,2021-11-17T14:00:51.000Z,inist.osug,jbru,"target CN,excitationType Hyperfine,collisional excitation,collider.0 electron,collider.1 para-H2,astrophysics,interstellar medium,comets,circumstellar medium,gas,microwave spectroscopy,infrared spectroscopy,rotational excitation,rovibrational excitation,vibrational excitation,electronic excitation,collisional rate coefficients,fine structure,hyperfine structure","[{'subject': 'target CN', 'subjectScheme': 'main'}, {'subject': 'excitationType Hyperfine', 'subjectScheme': 'main'}, {'subject': 'collisional excitation', 'subjectScheme': 'main'}, {'subject': 'collider.0 electron', 'subjectScheme': 'var'}, {'subject': 'collider.1 para-H2', 'subjectScheme': 'var'}, {'subject': 'astrophysics', 'subjectScheme': 'var'}, {'subject': 'interstellar medium', 'subjectScheme': 'var'}, {'subject': 'comets', 'subjectScheme': 'var'}, {'subject': 'circumstellar medium', 'subjectScheme': 'var'}, {'subject': 'gas', 'subjectScheme': 'var'}, {'subject': 'microwave spectroscopy', 'subjectScheme': 'var'}, {'subject': 'infrared spectroscopy', 'subjectScheme': 'var'}, {'subject': 'rotational excitation', 'subjectScheme': 'var'}, {'subject': 'rovibrational excitation', 'subjectScheme': 'var'}, {'subject': 'vibrational excitation', 'subjectScheme': 'var'}, {'subject': 'electronic excitation', 'subjectScheme': 'var'}, {'subject': 'collisional rate coefficients', 'subjectScheme': 'var'}, {'subject': 'fine structure', 'subjectScheme': 'var'}, {'subject': 'hyperfine structure', 'subjectScheme': 'var'}]",,['Radex']
-10.17178/emaa_hd_rovibration_805a7aa5,Rovibration excitation of HD by H and H+ collisions,"UGA, CNRS, CNRS-INSU, OSUG",2023,en,Dataset,"Please acknowledge the use of EMAA Database by citing the original articles in which the data were published (BibTeX format available), and adding the following sentence in your publication:
-This research has made use of spectroscopic and collisional data from the EMAA database (https://emaa.osug.fr). EMAA is supported by the Observatoire des Sciences de l'Univers de Grenoble (OSUG),Creative Commons Attribution 4.0 International,Data access and use are ruled by the EMAA data policy.",52 rovibration energy levels / 368 radiative transitions / 1326 collisional transitions for H (15 temperatures in the range 5-5000K) / 171 collisional transitions for H+ (25 temperatures in the range 5-3005K),mds,True,findable,0,0,0,0,0,2023-12-07T15:51:13.000Z,2023-12-07T15:51:13.000Z,inist.osug,jbru,"target HD,excitationType Rovibration,collisional excitation,collider.0 H,collider.1 H+,astrophysics,interstellar medium,comets,circumstellar medium,gas,microwave spectroscopy,infrared spectroscopy,rotational excitation,rovibrational excitation,vibrational excitation,electronic excitation,collisional rate coefficients,fine structure,hyperfine structure","[{'subject': 'target HD', 'subjectScheme': 'main'}, {'subject': 'excitationType Rovibration', 'subjectScheme': 'main'}, {'subject': 'collisional excitation', 'subjectScheme': 'main'}, {'subject': 'collider.0 H', 'subjectScheme': 'var'}, {'subject': 'collider.1 H+', 'subjectScheme': 'var'}, {'subject': 'astrophysics', 'subjectScheme': 'var'}, {'subject': 'interstellar medium', 'subjectScheme': 'var'}, {'subject': 'comets', 'subjectScheme': 'var'}, {'subject': 'circumstellar medium', 'subjectScheme': 'var'}, {'subject': 'gas', 'subjectScheme': 'var'}, {'subject': 'microwave spectroscopy', 'subjectScheme': 'var'}, {'subject': 'infrared spectroscopy', 'subjectScheme': 'var'}, {'subject': 'rotational excitation', 'subjectScheme': 'var'}, {'subject': 'rovibrational excitation', 'subjectScheme': 'var'}, {'subject': 'vibrational excitation', 'subjectScheme': 'var'}, {'subject': 'electronic excitation', 'subjectScheme': 'var'}, {'subject': 'collisional rate coefficients', 'subjectScheme': 'var'}, {'subject': 'fine structure', 'subjectScheme': 'var'}, {'subject': 'hyperfine structure', 'subjectScheme': 'var'}]",,['Radex']
-10.17178/emaa_oh_hyperfine_83ce026b,Hyperfine excitation of OH by ortho-H2 and para-H2 collisions,"UGA, CNRS, CNRS-INSU, OSUG",2021,en,Dataset,"Please acknowledge the use of EMAA Database by citing the original articles in which the data were published (BibTeX format available), and adding the following sentence in your publication:
-This research has made use of spectroscopic and collisional data from the EMAA database (https://emaa.osug.fr). EMAA is supported by the Observatoire des Sciences de l'Univers de Grenoble (OSUG),Creative Commons Attribution 4.0 International,Data access and use are ruled by the EMAA data policy.",24 hyperfine energy levels / 95 radiative transitions / 264 collisional transitions for para-H2 (7 temperatures in the range 10-150K) / 264 collisional transitions for ortho-H2 (7 temperatures in the range 10-150K),mds,True,findable,0,0,0,0,0,2021-11-17T14:01:27.000Z,2021-11-17T14:01:29.000Z,inist.osug,jbru,"target OH,excitationType Hyperfine,collisional excitation,collider.0 para-H2,collider.1 ortho-H2,astrophysics,interstellar medium,comets,circumstellar medium,gas,microwave spectroscopy,infrared spectroscopy,rotational excitation,rovibrational excitation,vibrational excitation,electronic excitation,collisional rate coefficients,fine structure,hyperfine structure","[{'subject': 'target OH', 'subjectScheme': 'main'}, {'subject': 'excitationType Hyperfine', 'subjectScheme': 'main'}, {'subject': 'collisional excitation', 'subjectScheme': 'main'}, {'subject': 'collider.0 para-H2', 'subjectScheme': 'var'}, {'subject': 'collider.1 ortho-H2', 'subjectScheme': 'var'}, {'subject': 'astrophysics', 'subjectScheme': 'var'}, {'subject': 'interstellar medium', 'subjectScheme': 'var'}, {'subject': 'comets', 'subjectScheme': 'var'}, {'subject': 'circumstellar medium', 'subjectScheme': 'var'}, {'subject': 'gas', 'subjectScheme': 'var'}, {'subject': 'microwave spectroscopy', 'subjectScheme': 'var'}, {'subject': 'infrared spectroscopy', 'subjectScheme': 'var'}, {'subject': 'rotational excitation', 'subjectScheme': 'var'}, {'subject': 'rovibrational excitation', 'subjectScheme': 'var'}, {'subject': 'vibrational excitation', 'subjectScheme': 'var'}, {'subject': 'electronic excitation', 'subjectScheme': 'var'}, {'subject': 'collisional rate coefficients', 'subjectScheme': 'var'}, {'subject': 'fine structure', 'subjectScheme': 'var'}, {'subject': 'hyperfine structure', 'subjectScheme': 'var'}]",,['Radex']
-10.17178/amma-catch.cl.gwatwell_o,"Groundwater dataset (water table level), over the upper Oueme watershed (14 000 km2), Benin","IRD, CNRS-INSU, OSUG, OMP, OREME",1999,en,Dataset,"Creative Commons Attribution 4.0 International,Data access and use are ruled by the AMMA-CATCH data policy.,For any publication using AMMA-CATCH data, authors are asked to:
+Co-authorship: depending on the contribution of the data to the scientific results obtained, the authors should either propose co-authorship to the data providers or at least acknowledge their contribution.","Parametrization of surface models (SVAT and vegetation), intra and inter-specific variability of vegetation growth and physiological functionning (herbaceous and woody) in response to the variation of rainfall and soil moisture in Gourma (Mali). Interspecific variability of root dynamics. Documentation of the soil characteristics (texture, characteristic curves, infiltration...). These measurements are required for a better parameterization of the response of vegetation and soils to climatic forcings and for water fluxes simulation. These data will provide the basic parameters for the initialization of the surface-atmosphere exchange models. Links with atmospheric chemistry (soil emissions and deposits).",mds,True,findable,0,0,1,0,0,2018-03-16T15:37:07.000Z,2018-03-16T15:37:08.000Z,inist.osug,jbru,"Phenology, leaf water potentiel,Sahelian/Saharan climate,Leaf Water Potential (leaf 3),Leaf Water Potential (leaf 1),Phenological State/Leafing State,Phenological State/Flowering State,Leaf Water Potential (leaf 2),Phenological State/Fruiting State","[{'subject': 'Phenology, leaf water potentiel', 'subjectScheme': 'main'}, {'subject': 'Sahelian/Saharan climate', 'subjectScheme': 'main'}, {'subject': 'Leaf Water Potential (leaf 3)', 'subjectScheme': 'var'}, {'subject': 'Leaf Water Potential (leaf 1)', 'subjectScheme': 'var'}, {'subject': 'Phenological State/Leafing State', 'subjectScheme': 'var'}, {'subject': 'Phenological State/Flowering State', 'subjectScheme': 'var'}, {'subject': 'Leaf Water Potential (leaf 2)', 'subjectScheme': 'var'}, {'subject': 'Phenological State/Fruiting State', 'subjectScheme': 'var'}]",,"['CSV', 'NETCDF', 'O&M 1.0']"
+10.17178/ohmcv.adv.cla.13-14.1,"Acoustic Doppler Velocimeter IQ Plus, Claduègne",CNRS - OSUG - OREME,2013,en,Dataset,"Data access and use are ruled by the OHMCV data policy.,The following acknowledging sentence should appear in publications using OHMCV data and products: ""OHMCV is funded by the Institut National des Sciences de l’Univers (INSU/CNRS) and the Observatoire des Sciences de l’Univers de Grenoble (OSUG / Université Grenoble Alpes)â€.",This dataset is part of the Cevennesâ€Vivarais Mediterranean Hydrometeorological Observatory (OHMCV),mds,True,findable,0,0,1,0,0,2017-03-10T17:09:18.000Z,2017-03-10T17:09:19.000Z,inist.osug,jbru,"Surface Water,ADCP > Acoustic Doppler Current Profiler,Fixed Observation Stations","[{'subject': 'Surface Water', 'subjectScheme': 'main'}, {'subject': 'ADCP > Acoustic Doppler Current Profiler', 'subjectScheme': 'main'}, {'subject': 'Fixed Observation Stations', 'subjectScheme': 'main'}]",,"['CSV', 'ESRI Grid', 'NETCDF']"
+10.17178/amma-catch.pa.h2oflux_snns,"Surface flux dataset (including surface energy, water vapor, and carbon fluxes) in the Niakhar site (Faidherbia-Flux station), Senegal","IRD, CNRS-INSU, OSUG, OMP, OREME",2018,en,Dataset,"Creative Commons Attribution 4.0 International,Data access and use are ruled by the AMMA-CATCH data policy.,For any publication using AMMA-CATCH data, authors are asked to:
Mandatory: cite the reference article and the DOI of the observatory
@@ -3117,10 +2411,15 @@ Mandatory: cite the reference article and the DOI of the observatory
Optional: cite the DOI of each dataset used.
-Co-authorship: depending on the contribution of the data to the scientific results obtained, the authors should either propose co-authorship to the data providers or at least acknowledge their contribution.",Documentation of charge-discharge processes of the saprolith groundwater on the Donga catchment. Contibution to the water balance of the Donga catchment Electric conductivity is an integrative measurement of the groundwater chemical composition. This parameter is used to define the groundwater pole in hydrograph separations.,mds,True,findable,0,0,1,0,0,2018-03-16T15:37:09.000Z,2018-03-16T15:37:10.000Z,inist.osug,jbru,"Aquifer, recharge, groundwater,Sudanian climate,Water Table","[{'subject': 'Aquifer, recharge, groundwater', 'subjectScheme': 'main'}, {'subject': 'Sudanian climate', 'subjectScheme': 'main'}, {'subject': 'Water Table', 'subjectScheme': 'var'}]",,"['CSV', 'NETCDF', 'O&M 1.0']"
-10.17178/emaa_ch-plus_rotation_47eb31e0,Rotation excitation of CH+ by H and electron collisions,"UGA, CNRS, CNRS-INSU, OSUG",2021,en,Dataset,"Please acknowledge the use of EMAA Database by citing the original articles in which the data were published (BibTeX format available), and adding the following sentence in your publication:
-This research has made use of spectroscopic and collisional data from the EMAA database (https://emaa.osug.fr). EMAA is supported by the Observatoire des Sciences de l'Univers de Grenoble (OSUG),Creative Commons Attribution 4.0 International,Data access and use are ruled by the EMAA data policy.",14 rotation energy levels / 13 radiative transitions / 91 collisional transitions for H (12 temperatures in the range 10-3000K) / 76 collisional transitions for electron (12 temperatures in the range 10-3000K),mds,True,findable,0,0,0,0,0,2021-11-18T13:34:39.000Z,2021-11-18T13:34:40.000Z,inist.osug,jbru,"target CH+,excitationType Rotation,collisional excitation,collider.0 H,collider.1 electron,astrophysics,interstellar medium,comets,circumstellar medium,gas,microwave spectroscopy,infrared spectroscopy,rotational excitation,rovibrational excitation,vibrational excitation,electronic excitation,collisional rate coefficients,fine structure,hyperfine structure","[{'subject': 'target CH+', 'subjectScheme': 'main'}, {'subject': 'excitationType Rotation', 'subjectScheme': 'main'}, {'subject': 'collisional excitation', 'subjectScheme': 'main'}, {'subject': 'collider.0 H', 'subjectScheme': 'var'}, {'subject': 'collider.1 electron', 'subjectScheme': 'var'}, {'subject': 'astrophysics', 'subjectScheme': 'var'}, {'subject': 'interstellar medium', 'subjectScheme': 'var'}, {'subject': 'comets', 'subjectScheme': 'var'}, {'subject': 'circumstellar medium', 'subjectScheme': 'var'}, {'subject': 'gas', 'subjectScheme': 'var'}, {'subject': 'microwave spectroscopy', 'subjectScheme': 'var'}, {'subject': 'infrared spectroscopy', 'subjectScheme': 'var'}, {'subject': 'rotational excitation', 'subjectScheme': 'var'}, {'subject': 'rovibrational excitation', 'subjectScheme': 'var'}, {'subject': 'vibrational excitation', 'subjectScheme': 'var'}, {'subject': 'electronic excitation', 'subjectScheme': 'var'}, {'subject': 'collisional rate coefficients', 'subjectScheme': 'var'}, {'subject': 'fine structure', 'subjectScheme': 'var'}, {'subject': 'hyperfine structure', 'subjectScheme': 'var'}]",,['Radex']
-10.17178/amma-catch.ce.vegsoil_gh,"Vegetation dataset (seasonal physiological functioning of woody vegetation), within the Hombori site (2500 km2), Mali","IRD, CNRS-INSU, OSUG, OMP, OREME",2005,en,Dataset,"Creative Commons Attribution 4.0 International,Data access and use are ruled by the AMMA-CATCH data policy.,For any publication using AMMA-CATCH data, authors are asked to:
+Co-authorship: depending on the contribution of the data to the scientific results obtained, the authors should either propose co-authorship to the data providers or at least acknowledge their contribution.","Measure components of the local-scale energy budget at 2 levels, above tree canopy (20m) and below tree canopy (4.5m). Obtain forcing and validation data for modeling of soil-vegetation-atmosphere exchanges in agro-silvo-pastoral systems of Sahel. Contribute to the flux station network over the AMMA regional transect.",mds,True,findable,0,0,1,0,0,2022-12-09T16:47:51.000Z,2022-12-09T16:47:52.000Z,inist.osug,jbru,"Land surface exchange, water budget, energy budget, sahelian vegetation, evapo-transpiration, sahelian hydrology,Sahelian climate,Friction Velocity at height 4.5 m,Sensible Heat Flux at height 4.5 m,Sensible Heat Flux at height 20 m,Latent Heat Flux at height 4.5 m,Net Ecosystem Exchange of CO2 at height 4.5 m,Latent Heat Flux at height 20 m,Friction Velocity at height 20 m,Net Ecosystem Exchange of CO2 at height 20 m","[{'subject': 'Land surface exchange, water budget, energy budget, sahelian vegetation, evapo-transpiration, sahelian hydrology', 'subjectScheme': 'main'}, {'subject': 'Sahelian climate', 'subjectScheme': 'main'}, {'subject': 'Friction Velocity at height 4.5 m', 'subjectScheme': 'var'}, {'subject': 'Sensible Heat Flux at height 4.5 m', 'subjectScheme': 'var'}, {'subject': 'Sensible Heat Flux at height 20 m', 'subjectScheme': 'var'}, {'subject': 'Latent Heat Flux at height 4.5 m', 'subjectScheme': 'var'}, {'subject': 'Net Ecosystem Exchange of CO2 at height 4.5 m', 'subjectScheme': 'var'}, {'subject': 'Latent Heat Flux at height 20 m', 'subjectScheme': 'var'}, {'subject': 'Friction Velocity at height 20 m', 'subjectScheme': 'var'}, {'subject': 'Net Ecosystem Exchange of CO2 at height 20 m', 'subjectScheme': 'var'}]",,"['CSV', 'NETCDF', 'O&M 1.0']"
+10.5061/dryad.ksn02v746,DNA metabarcoding data: Altitudinal zonation of green algae biodiversity in the French Alps,Dryad,2021,en,Dataset,Creative Commons Zero v1.0 Universal,"Mountain environments are marked by an altitudinal zonation of habitat types. They are home to a multitude of terrestrial green algae, who have to cope with abiotic conditions specific to high elevation, e.g., high UV irradiance, alternating desiccation, rain and snow precipitations, extreme diurnal variations in temperature and chronic scarceness of nutrients. Even though photosynthetic green algae are key primary producers colonizing open areas and potential markers of climate change, their overall biodiversity in the Alps has been poorly studied so far, in particular in soil, where alga have been shown to be major components of microbial communities. Here, we investigated whether the spatial distribution of green algae followed the altitudinal zonation of the Alps, based on the assumption that algae can spread via airborne spores and settle in their preferred habitats under the pressure of parameters correlated with elevation. We did so by focusing on selected representative elevational gradients at distant locations in the French Alps, where soil samples were collected at different depths. Soil was considered as either a potential natural habitat or temporary reservoir of algae. We showed that algal DNA represented a relatively low proportion of the overall eukaryotic diversity as measured by a universal Eukaryote marker. We designed two novel green algae metabarcoding markers to amplify the Chlorophyta phylum and its Chlorophyceae class, respectively. Using our newly developed markers, we showed that elevation was a strong correlate of species and genus level distribution. Altitudinal zonation was thus determined for about fifty species, with proposed accessions in reference databases. In particular, Planophila laetevirens and Bracteococcus ruber related species as well as the snow alga Sanguina genus were only found in soil starting at 2,000 m above sea level. Analysis of the vertical distribution in soils further highlighted the importance of pH and nitrogen/carbon ratios. This metabolic trait may also determine the Trebouxiophyceae over Chlorophyceae ratio. Guidelines are discussed for future, more robust and precise analyses of environmental algal DNA in soil in mountain ecosystems, to comprehend the distribution of green algae species and dynamics in response to environmental changes.",mds,True,findable,166,12,0,0,0,2021-06-03T23:05:45.000Z,2021-06-03T23:05:47.000Z,dryad.dryad,dryad,"FOS: Biological sciences,FOS: Biological sciences,Chlorophyta,mountain environment,soil,Biodiversity,Sanguina,Snow Algae","[{'subject': 'FOS: Biological sciences', 'subjectScheme': 'fos'}, {'subject': 'FOS: Biological sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Chlorophyta'}, {'subject': 'mountain environment'}, {'subject': 'soil'}, {'subject': 'Biodiversity', 'schemeUri': 'https://github.com/PLOS/plos-thesaurus', 'subjectScheme': 'PLOS Subject Area Thesaurus'}, {'subject': 'Sanguina'}, {'subject': 'Snow Algae'}]",['49624412 bytes'],
+10.17178/emaa_para-nh3_rotation_44e467bd,"Rotation excitation of para-NH3 by H, ortho-H2 and para-H2 collisions","UGA, CNRS, CNRS-INSU, OSUG",2021,en,Dataset,"Please acknowledge the use of EMAA Database by citing the original articles in which the data were published (BibTeX format available), and adding the following sentence in your publication:
+This research has made use of spectroscopic and collisional data from the EMAA database (https://emaa.osug.fr). EMAA is supported by the Observatoire des Sciences de l'Univers de Grenoble (OSUG),Creative Commons Attribution 4.0 International,Data access and use are ruled by the EMAA data policy.",34 rotation energy levels / 56 radiative transitions / 561 collisional transitions for H (20 temperatures in the range 10-200K) / 561 collisional transitions for ortho-H2 (20 temperatures in the range 10-200K) / 561 collisional transitions for para-H2 (20 temperatures in the range 10-200K),mds,True,findable,0,0,0,0,0,2021-11-17T14:02:17.000Z,2021-11-17T14:02:19.000Z,inist.osug,jbru,"target para-NH3,excitationType Rotation,collisional excitation,collider.0 H,collider.1 ortho-H2,collider.2 para-H2,astrophysics,interstellar medium,comets,circumstellar medium,gas,microwave spectroscopy,infrared spectroscopy,rotational excitation,rovibrational excitation,vibrational excitation,electronic excitation,collisional rate coefficients,fine structure,hyperfine structure","[{'subject': 'target para-NH3', 'subjectScheme': 'main'}, {'subject': 'excitationType Rotation', 'subjectScheme': 'main'}, {'subject': 'collisional excitation', 'subjectScheme': 'main'}, {'subject': 'collider.0 H', 'subjectScheme': 'var'}, {'subject': 'collider.1 ortho-H2', 'subjectScheme': 'var'}, {'subject': 'collider.2 para-H2', 'subjectScheme': 'var'}, {'subject': 'astrophysics', 'subjectScheme': 'var'}, {'subject': 'interstellar medium', 'subjectScheme': 'var'}, {'subject': 'comets', 'subjectScheme': 'var'}, {'subject': 'circumstellar medium', 'subjectScheme': 'var'}, {'subject': 'gas', 'subjectScheme': 'var'}, {'subject': 'microwave spectroscopy', 'subjectScheme': 'var'}, {'subject': 'infrared spectroscopy', 'subjectScheme': 'var'}, {'subject': 'rotational excitation', 'subjectScheme': 'var'}, {'subject': 'rovibrational excitation', 'subjectScheme': 'var'}, {'subject': 'vibrational excitation', 'subjectScheme': 'var'}, {'subject': 'electronic excitation', 'subjectScheme': 'var'}, {'subject': 'collisional rate coefficients', 'subjectScheme': 'var'}, {'subject': 'fine structure', 'subjectScheme': 'var'}, {'subject': 'hyperfine structure', 'subjectScheme': 'var'}]",,['Radex']
+10.5281/zenodo.7790110,Oxygen-induced chromophore degradation in the photoswitchable red fluorescent protein rsCherry,Zenodo,2023,en,Dataset,"Creative Commons Attribution 4.0 International,Open Access","Source data for figure 1, figure 3a, and supplementary figure 1.",mds,True,findable,0,0,0,0,0,2023-03-31T21:37:12.000Z,2023-03-31T21:37:12.000Z,cern.zenodo,cern,,,,
+10.5281/zenodo.4761349,"Fig. 83 in Two New Species Of Dictyogenus Klapálek, 1904 (Plecoptera: Perlodidae) From The Jura Mountains Of France And Switzerland, And From The French Vercors And Chartreuse Massifs",Zenodo,2019,,Image,"Creative Commons Attribution 4.0 International,Open Access","Fig. 83. Dictyogenus fontium species complex, female, subgenital plate. Inner-alpine upper Isère Valley. Col de l'Iseran, Savoie dpt, France. Photo A. Ruffoni.",mds,True,findable,0,0,6,0,0,2021-05-14T07:51:45.000Z,2021-05-14T07:51:45.000Z,cern.zenodo,cern,"Biodiversity,Taxonomy,Animalia,Arthropoda,Insecta,Plecoptera,Perlodidae,Dictyogenus","[{'subject': 'Biodiversity'}, {'subject': 'Taxonomy'}, {'subject': 'Animalia'}, {'subject': 'Arthropoda'}, {'subject': 'Insecta'}, {'subject': 'Plecoptera'}, {'subject': 'Perlodidae'}, {'subject': 'Dictyogenus'}]",,
+10.5281/zenodo.4305970,DEM simulations of bi-disperse beds during bedload transport,Zenodo,2020,en,Dataset,"Creative Commons Attribution 4.0 International,Open Access","This depository contains the data of all DEM simulations used in the publication Chassagne, R., Frey, P., Maurin, R., and Chauchat, J. Mobility of bidisperse mixtures during bedload transport. Physical Review Fluids, 5(11):114307. doi:10.1103/PhysRevFluids.5.114307, as well as post processing scripts to use the data. The simulations are located in seven folders, Monodisperse/ (mondisperse simulations where the fluid forcing is varied), N0.5/ (simulations with 0.5 layer of large particles above a small particle bed and or different fluid forcing), N1/ (simulations with 1 layer of large particles above a small particle bed and or different fluid forcing), N2/, N3/, N4/ and sizeRatio (2 layers of large particles, fixed fluid forcing but the diameter of the underlying small particles is varied). The data of each simulations are contained in separate subfolders named after the simulation. For example, H8Sh0.45/ corresponds to a monodisperse simulation with a bedheight of 8dl (dl is the large particle diameter) and a shields number of 0.45. H10N2R2Sh0.7/ corresponds to a bidisperse simulation with a bed height of 10dl, 2 layers of large particles, a size ratio of 2 between large and small particles and a shields number of 0.7. For each simulation, the time data are saved in data.hdf5 and averaged data in average.hdf5. A GeomParam.txt file is also in each folder. It contains information of the simulation that the post processing programm will read. The python script used to initiate the YADE-DEM simulation is also given for information (it contains all parameters of the simulation). The post-processing programm has been coded in python2.7 with an oriented-object procedure. The h5py package is necessary to read the .hdf5 files. The scripts do not work in python3, but can be very easily adapted if necessary (you only have to modify the ""print"" functions). The scripts are available in ScriptsPP/ and are organized as follow. For bidisperse simualtions, a mother class in SegregationPP and two child classes SegFull (to load the full time data set) and SegMean (to load only average data). For monodisperse simualtions, a mother class in MonodispersePP and two child classes MonoFull (to load the full time data set) and MonoMean (to load only average data). Two scripts examplePP1.py and examplePP2.py are proposed and show how to manipulate theses classes and the data.",mds,True,findable,0,0,1,0,0,2020-12-04T14:23:08.000Z,2020-12-04T14:23:09.000Z,cern.zenodo,cern,"Granular flow,Sediment transport,Bi-disperse mobility,Coupled fluid-DEM simulations","[{'subject': 'Granular flow'}, {'subject': 'Sediment transport'}, {'subject': 'Bi-disperse mobility'}, {'subject': 'Coupled fluid-DEM simulations'}]",,
+10.18709/perscido.2023.05.ds394,Snow status (wet/dry) in Antarctica at 4.45 km resolution from the satellite microwave scatterometer ASCAT (2007 -- 2021),PerSCiDO,2023,,Dataset,,"The dataset provides daily binary status (wet/dry) of the snowpack for each pixel at 4.45 km resolution in Antarctica over 14 years. This status is retrieved from radar backscatter measurements acquired by ASCAT, using a threshold of -3dB below the winter average backscatter level. The resolution of individual ASCAT measurements is coarse (tens of km), but is enhanced using the SIR algorithm by exploiting overlaps between all the overpasses over two or three few days. The product is gridded at 4.45 km, but the effective spatial resolution is likely a bit coarser, between this grid resolution and the measurement resolution (tens of km). The effective temporal resolution is a few days even though the product is provided daily.",api,True,findable,0,0,0,0,0,2023-05-26T12:09:01.000Z,2023-05-26T12:09:01.000Z,inist.persyval,vcob,glaciology,"[{'subject': 'glaciology', 'subjectScheme': 'https://perscido.univ-grenoble-alpes.fr/glaciology'}]",['100 Mo'],['netcdf']
+10.17178/amma-catch.pa.schem_snfd,"Soil chemistry dataset (Carbon, Nitrogen and Phosphorus contents), in the Ferlo site (Dahra station), Senegal","IRD, CNRS-INSU, OSUG, OMP, OREME",2015,en,Dataset,"Creative Commons Attribution 4.0 International,Data access and use are ruled by the AMMA-CATCH data policy.,For any publication using AMMA-CATCH data, authors are asked to:
Mandatory: cite the reference article and the DOI of the observatory
@@ -3129,30 +2428,38 @@ Mandatory: cite the reference article and the DOI of the observatory
Optional: cite the DOI of each dataset used.
-Co-authorship: depending on the contribution of the data to the scientific results obtained, the authors should either propose co-authorship to the data providers or at least acknowledge their contribution.","Parametrization of surface models (SVAT and vegetation), intra and inter-specific variability of vegetation growth and physiological functionning (herbaceous and woody) in response to the variation of rainfall and soil moisture in Gourma (Mali). Interspecific variability of root dynamics. Documentation of the soil characteristics (texture, characteristic curves, infiltration...). These measurements are required for a better parameterization of the response of vegetation and soils to climatic forcings and for water fluxes simulation. These data will provide the basic parameters for the initialization of the surface-atmosphere exchange models. Links with atmospheric chemistry (soil emissions and deposits).",mds,True,findable,0,0,1,0,0,2018-03-16T15:37:07.000Z,2018-03-16T15:37:08.000Z,inist.osug,jbru,"Phenology, leaf water potentiel,Sahelian/Saharan climate,Leaf Water Potential (leaf 3),Leaf Water Potential (leaf 1),Phenological State/Leafing State,Phenological State/Flowering State,Leaf Water Potential (leaf 2),Phenological State/Fruiting State","[{'subject': 'Phenology, leaf water potentiel', 'subjectScheme': 'main'}, {'subject': 'Sahelian/Saharan climate', 'subjectScheme': 'main'}, {'subject': 'Leaf Water Potential (leaf 3)', 'subjectScheme': 'var'}, {'subject': 'Leaf Water Potential (leaf 1)', 'subjectScheme': 'var'}, {'subject': 'Phenological State/Leafing State', 'subjectScheme': 'var'}, {'subject': 'Phenological State/Flowering State', 'subjectScheme': 'var'}, {'subject': 'Leaf Water Potential (leaf 2)', 'subjectScheme': 'var'}, {'subject': 'Phenological State/Fruiting State', 'subjectScheme': 'var'}]",,"['CSV', 'NETCDF', 'O&M 1.0']"
-10.17178/emaa_n(15n)h-plus_hyperfine_4f2d77ce,Hyperfine excitation of N[15N]H+ by para-H2 collisions,"UGA, CNRS, CNRS-INSU, OSUG",2021,en,Dataset,"Please acknowledge the use of EMAA Database by citing the original articles in which the data were published (BibTeX format available), and adding the following sentence in your publication:
-This research has made use of spectroscopic and collisional data from the EMAA database (https://emaa.osug.fr). EMAA is supported by the Observatoire des Sciences de l'Univers de Grenoble (OSUG),Creative Commons Attribution 4.0 International,Data access and use are ruled by the EMAA data policy.",13 hyperfine energy levels / 19 radiative transitions / 78 collisional transitions for para-H2 (14 temperatures in the range 5-70K),mds,True,findable,0,0,0,0,0,2021-11-18T13:35:18.000Z,2021-11-18T13:35:19.000Z,inist.osug,jbru,"target N[15N]H+,excitationType Hyperfine,collisional excitation,collider.0 para-H2,astrophysics,interstellar medium,comets,circumstellar medium,gas,microwave spectroscopy,infrared spectroscopy,rotational excitation,rovibrational excitation,vibrational excitation,electronic excitation,collisional rate coefficients,fine structure,hyperfine structure","[{'subject': 'target N[15N]H+', 'subjectScheme': 'main'}, {'subject': 'excitationType Hyperfine', 'subjectScheme': 'main'}, {'subject': 'collisional excitation', 'subjectScheme': 'main'}, {'subject': 'collider.0 para-H2', 'subjectScheme': 'var'}, {'subject': 'astrophysics', 'subjectScheme': 'var'}, {'subject': 'interstellar medium', 'subjectScheme': 'var'}, {'subject': 'comets', 'subjectScheme': 'var'}, {'subject': 'circumstellar medium', 'subjectScheme': 'var'}, {'subject': 'gas', 'subjectScheme': 'var'}, {'subject': 'microwave spectroscopy', 'subjectScheme': 'var'}, {'subject': 'infrared spectroscopy', 'subjectScheme': 'var'}, {'subject': 'rotational excitation', 'subjectScheme': 'var'}, {'subject': 'rovibrational excitation', 'subjectScheme': 'var'}, {'subject': 'vibrational excitation', 'subjectScheme': 'var'}, {'subject': 'electronic excitation', 'subjectScheme': 'var'}, {'subject': 'collisional rate coefficients', 'subjectScheme': 'var'}, {'subject': 'fine structure', 'subjectScheme': 'var'}, {'subject': 'hyperfine structure', 'subjectScheme': 'var'}]",,['Radex']
-10.17178/emaa_hnc_rotation_20269bc3,"Rotation excitation of HNC by electron, ortho-H2 and para-H2 collisions","UGA, CNRS, CNRS-INSU, OSUG",2021,en,Dataset,"Please acknowledge the use of EMAA Database by citing the original articles in which the data were published (BibTeX format available), and adding the following sentence in your publication:
-This research has made use of spectroscopic and collisional data from the EMAA database (https://emaa.osug.fr). EMAA is supported by the Observatoire des Sciences de l'Univers de Grenoble (OSUG),Creative Commons Attribution 4.0 International,Data access and use are ruled by the EMAA data policy.",18 rotation energy levels / 17 radiative transitions / 153 collisional transitions for para-H2 (12 temperatures in the range 5-500K) / 153 collisional transitions for ortho-H2 (12 temperatures in the range 5-500K) / 36 collisional transitions for electron (10 temperatures in the range 10-1000K),mds,True,findable,0,0,0,0,0,2022-02-07T11:25:01.000Z,2022-02-07T11:25:02.000Z,inist.osug,jbru,"target HNC,excitationType Rotation,collisional excitation,collider.0 para-H2,collider.1 ortho-H2,collider.2 electron,astrophysics,interstellar medium,comets,circumstellar medium,gas,microwave spectroscopy,infrared spectroscopy,rotational excitation,rovibrational excitation,vibrational excitation,electronic excitation,collisional rate coefficients,fine structure,hyperfine structure","[{'subject': 'target HNC', 'subjectScheme': 'main'}, {'subject': 'excitationType Rotation', 'subjectScheme': 'main'}, {'subject': 'collisional excitation', 'subjectScheme': 'main'}, {'subject': 'collider.0 para-H2', 'subjectScheme': 'var'}, {'subject': 'collider.1 ortho-H2', 'subjectScheme': 'var'}, {'subject': 'collider.2 electron', 'subjectScheme': 'var'}, {'subject': 'astrophysics', 'subjectScheme': 'var'}, {'subject': 'interstellar medium', 'subjectScheme': 'var'}, {'subject': 'comets', 'subjectScheme': 'var'}, {'subject': 'circumstellar medium', 'subjectScheme': 'var'}, {'subject': 'gas', 'subjectScheme': 'var'}, {'subject': 'microwave spectroscopy', 'subjectScheme': 'var'}, {'subject': 'infrared spectroscopy', 'subjectScheme': 'var'}, {'subject': 'rotational excitation', 'subjectScheme': 'var'}, {'subject': 'rovibrational excitation', 'subjectScheme': 'var'}, {'subject': 'vibrational excitation', 'subjectScheme': 'var'}, {'subject': 'electronic excitation', 'subjectScheme': 'var'}, {'subject': 'collisional rate coefficients', 'subjectScheme': 'var'}, {'subject': 'fine structure', 'subjectScheme': 'var'}, {'subject': 'hyperfine structure', 'subjectScheme': 'var'}]",,['Radex']
-10.17178/emaa_para-h2(18o)_rotation_4ebe92f7,Rotation excitation of para-H2[18O] by H and electron collisions,"UGA, CNRS, CNRS-INSU, OSUG",2022,en,Dataset,"Please acknowledge the use of EMAA Database by citing the original articles in which the data were published (BibTeX format available), and adding the following sentence in your publication:
-This research has made use of spectroscopic and collisional data from the EMAA database (https://emaa.osug.fr). EMAA is supported by the Observatoire des Sciences de l'Univers de Grenoble (OSUG),Creative Commons Attribution 4.0 International,Data access and use are ruled by the EMAA data policy.",27 rotation energy levels / 70 radiative transitions / 351 collisional transitions for H (14 temperatures in the range 5-1500K) / 91 collisional transitions for electron (9 temperatures in the range 10-500K),mds,True,findable,0,0,0,0,0,2022-02-07T11:25:59.000Z,2022-02-07T11:26:00.000Z,inist.osug,jbru,"target para-H2[18O],excitationType Rotation,collisional excitation,collider.0 H,collider.1 electron,astrophysics,interstellar medium,comets,circumstellar medium,gas,microwave spectroscopy,infrared spectroscopy,rotational excitation,rovibrational excitation,vibrational excitation,electronic excitation,collisional rate coefficients,fine structure,hyperfine structure","[{'subject': 'target para-H2[18O]', 'subjectScheme': 'main'}, {'subject': 'excitationType Rotation', 'subjectScheme': 'main'}, {'subject': 'collisional excitation', 'subjectScheme': 'main'}, {'subject': 'collider.0 H', 'subjectScheme': 'var'}, {'subject': 'collider.1 electron', 'subjectScheme': 'var'}, {'subject': 'astrophysics', 'subjectScheme': 'var'}, {'subject': 'interstellar medium', 'subjectScheme': 'var'}, {'subject': 'comets', 'subjectScheme': 'var'}, {'subject': 'circumstellar medium', 'subjectScheme': 'var'}, {'subject': 'gas', 'subjectScheme': 'var'}, {'subject': 'microwave spectroscopy', 'subjectScheme': 'var'}, {'subject': 'infrared spectroscopy', 'subjectScheme': 'var'}, {'subject': 'rotational excitation', 'subjectScheme': 'var'}, {'subject': 'rovibrational excitation', 'subjectScheme': 'var'}, {'subject': 'vibrational excitation', 'subjectScheme': 'var'}, {'subject': 'electronic excitation', 'subjectScheme': 'var'}, {'subject': 'collisional rate coefficients', 'subjectScheme': 'var'}, {'subject': 'fine structure', 'subjectScheme': 'var'}, {'subject': 'hyperfine structure', 'subjectScheme': 'var'}]",,['Radex']
-10.17178/gnss.products.deeptrigger.peru,Metadata and daily observation files in RINEX format for the 8 DEEP-trigger GNSS stations installed in Peru,"CNRS, OSUG, ISTERRE",2026,en,Dataset,"License: CC BY-NC-ND 4.0,Data access and use are ruled by the OSUG data policy.,The following acknowledging sentence should appear in publications using ISTerre GNSS products: ""GNSS products are calculated and provided by the Institut of Sciences de la Terre (ISTerre), belonging to the Institut National des Sciences de l’Univers (INSU/CNRS) and the Observatoire des Sciences de l’Univers de Grenoble (OSUG / Université Grenoble Alpes)"".
-You are invited to contact the PI(s) or lead scientist for more information about the data and to include the acknowledgement sentence in any publication using the data.","This dataset includes station metadata in GipsyX staDB format, as well as daily observation RINEX files for the 8 GNSS stations installed in Peru in the frame of the DEEP-trigger project.",mds,True,findable,0,0,0,0,0,2023-04-08T13:17:07.000Z,2023-04-08T13:17:09.000Z,inist.osug,jbru,"GNSS products,GNSS data analysis,Time serie positioning","[{'subject': 'GNSS products', 'subjectScheme': 'main'}, {'subject': 'GNSS data analysis', 'subjectScheme': 'var'}, {'subject': 'Time serie positioning', 'subjectScheme': 'var'}]",,"['pos', 'PBO']"
-10.17178/emaa_para-nd3_hyperfine_416718be,Hyperfine excitation of para-ND3 by para-H2 collisions,"UGA, CNRS, CNRS-INSU, OSUG",2021,en,Dataset,"Please acknowledge the use of EMAA Database by citing the original articles in which the data were published (BibTeX format available), and adding the following sentence in your publication:
-This research has made use of spectroscopic and collisional data from the EMAA database (https://emaa.osug.fr). EMAA is supported by the Observatoire des Sciences de l'Univers de Grenoble (OSUG),Creative Commons Attribution 4.0 International,Data access and use are ruled by the EMAA data policy.",7 hyperfine energy levels / 9 radiative transitions / 15 collisional transitions for para-H2 (8 temperatures in the range 5-40K),mds,True,findable,0,0,0,0,0,2021-11-17T14:02:06.000Z,2021-11-17T14:02:07.000Z,inist.osug,jbru,"target para-ND3,excitationType Hyperfine,collisional excitation,collider.0 para-H2,astrophysics,interstellar medium,comets,circumstellar medium,gas,microwave spectroscopy,infrared spectroscopy,rotational excitation,rovibrational excitation,vibrational excitation,electronic excitation,collisional rate coefficients,fine structure,hyperfine structure","[{'subject': 'target para-ND3', 'subjectScheme': 'main'}, {'subject': 'excitationType Hyperfine', 'subjectScheme': 'main'}, {'subject': 'collisional excitation', 'subjectScheme': 'main'}, {'subject': 'collider.0 para-H2', 'subjectScheme': 'var'}, {'subject': 'astrophysics', 'subjectScheme': 'var'}, {'subject': 'interstellar medium', 'subjectScheme': 'var'}, {'subject': 'comets', 'subjectScheme': 'var'}, {'subject': 'circumstellar medium', 'subjectScheme': 'var'}, {'subject': 'gas', 'subjectScheme': 'var'}, {'subject': 'microwave spectroscopy', 'subjectScheme': 'var'}, {'subject': 'infrared spectroscopy', 'subjectScheme': 'var'}, {'subject': 'rotational excitation', 'subjectScheme': 'var'}, {'subject': 'rovibrational excitation', 'subjectScheme': 'var'}, {'subject': 'vibrational excitation', 'subjectScheme': 'var'}, {'subject': 'electronic excitation', 'subjectScheme': 'var'}, {'subject': 'collisional rate coefficients', 'subjectScheme': 'var'}, {'subject': 'fine structure', 'subjectScheme': 'var'}, {'subject': 'hyperfine structure', 'subjectScheme': 'var'}]",,['Radex']
-10.17178/emaa_para-(15n)h2d_rotation_e7374da5,Rotation excitation of para-[15N]H2D by ortho-H2 and para-H2 collisions,"UGA, CNRS, CNRS-INSU, OSUG",2021,en,Dataset,"Please acknowledge the use of EMAA Database by citing the original articles in which the data were published (BibTeX format available), and adding the following sentence in your publication:
-This research has made use of spectroscopic and collisional data from the EMAA database (https://emaa.osug.fr). EMAA is supported by the Observatoire des Sciences de l'Univers de Grenoble (OSUG),Creative Commons Attribution 4.0 International,Data access and use are ruled by the EMAA data policy.",56 rotation energy levels / 261 radiative transitions / 1540 collisional transitions for para-H2 (13 temperatures in the range 5-300K) / 1540 collisional transitions for ortho-H2 (13 temperatures in the range 5-300K),mds,True,findable,0,0,0,0,0,2021-11-18T13:35:55.000Z,2021-11-18T13:35:55.000Z,inist.osug,jbru,"target para-[15N]H2D,excitationType Rotation,collisional excitation,collider.0 para-H2,collider.1 ortho-H2,astrophysics,interstellar medium,comets,circumstellar medium,gas,microwave spectroscopy,infrared spectroscopy,rotational excitation,rovibrational excitation,vibrational excitation,electronic excitation,collisional rate coefficients,fine structure,hyperfine structure","[{'subject': 'target para-[15N]H2D', 'subjectScheme': 'main'}, {'subject': 'excitationType Rotation', 'subjectScheme': 'main'}, {'subject': 'collisional excitation', 'subjectScheme': 'main'}, {'subject': 'collider.0 para-H2', 'subjectScheme': 'var'}, {'subject': 'collider.1 ortho-H2', 'subjectScheme': 'var'}, {'subject': 'astrophysics', 'subjectScheme': 'var'}, {'subject': 'interstellar medium', 'subjectScheme': 'var'}, {'subject': 'comets', 'subjectScheme': 'var'}, {'subject': 'circumstellar medium', 'subjectScheme': 'var'}, {'subject': 'gas', 'subjectScheme': 'var'}, {'subject': 'microwave spectroscopy', 'subjectScheme': 'var'}, {'subject': 'infrared spectroscopy', 'subjectScheme': 'var'}, {'subject': 'rotational excitation', 'subjectScheme': 'var'}, {'subject': 'rovibrational excitation', 'subjectScheme': 'var'}, {'subject': 'vibrational excitation', 'subjectScheme': 'var'}, {'subject': 'electronic excitation', 'subjectScheme': 'var'}, {'subject': 'collisional rate coefficients', 'subjectScheme': 'var'}, {'subject': 'fine structure', 'subjectScheme': 'var'}, {'subject': 'hyperfine structure', 'subjectScheme': 'var'}]",,['Radex']
-10.17178/emaa_meta-nd3_hyperfine_b3e9eff8,Hyperfine excitation of meta-ND3 by para-H2 collisions,"UGA, CNRS, CNRS-INSU, OSUG",2021,en,Dataset,"Please acknowledge the use of EMAA Database by citing the original articles in which the data were published (BibTeX format available), and adding the following sentence in your publication:
-This research has made use of spectroscopic and collisional data from the EMAA database (https://emaa.osug.fr). EMAA is supported by the Observatoire des Sciences de l'Univers de Grenoble (OSUG),Creative Commons Attribution 4.0 International,Data access and use are ruled by the EMAA data policy.",7 hyperfine energy levels / 9 radiative transitions / 15 collisional transitions for para-H2 (8 temperatures in the range 5-40K),mds,True,findable,0,0,0,0,0,2021-11-17T14:01:11.000Z,2021-11-17T14:01:13.000Z,inist.osug,jbru,"target meta-ND3,excitationType Hyperfine,collisional excitation,collider.0 para-H2,astrophysics,interstellar medium,comets,circumstellar medium,gas,microwave spectroscopy,infrared spectroscopy,rotational excitation,rovibrational excitation,vibrational excitation,electronic excitation,collisional rate coefficients,fine structure,hyperfine structure","[{'subject': 'target meta-ND3', 'subjectScheme': 'main'}, {'subject': 'excitationType Hyperfine', 'subjectScheme': 'main'}, {'subject': 'collisional excitation', 'subjectScheme': 'main'}, {'subject': 'collider.0 para-H2', 'subjectScheme': 'var'}, {'subject': 'astrophysics', 'subjectScheme': 'var'}, {'subject': 'interstellar medium', 'subjectScheme': 'var'}, {'subject': 'comets', 'subjectScheme': 'var'}, {'subject': 'circumstellar medium', 'subjectScheme': 'var'}, {'subject': 'gas', 'subjectScheme': 'var'}, {'subject': 'microwave spectroscopy', 'subjectScheme': 'var'}, {'subject': 'infrared spectroscopy', 'subjectScheme': 'var'}, {'subject': 'rotational excitation', 'subjectScheme': 'var'}, {'subject': 'rovibrational excitation', 'subjectScheme': 'var'}, {'subject': 'vibrational excitation', 'subjectScheme': 'var'}, {'subject': 'electronic excitation', 'subjectScheme': 'var'}, {'subject': 'collisional rate coefficients', 'subjectScheme': 'var'}, {'subject': 'fine structure', 'subjectScheme': 'var'}, {'subject': 'hyperfine structure', 'subjectScheme': 'var'}]",,['Radex']
+Co-authorship: depending on the contribution of the data to the scientific results obtained, the authors should either propose co-authorship to the data providers or at least acknowledge their contribution.","1) Characterize dynamics of C and N contents in soil in relation with rainfall, soil moisture, vegetation and livestock attendance. C & N dynamics through mineralisation of the organic matter are important factors that control vegetation and soil functioning and surface-atmosphere interaction. 2) Soil P content also controls vegetation productivity.",mds,True,findable,0,0,1,0,0,2022-12-09T16:47:55.000Z,2022-12-09T16:47:56.000Z,inist.osug,jbru,"Carbon and Nitrogen cycles, soil moisture, rainfall, vegetation,Sahelian climate,Phosphorus (P) content from 0 to 10 cm depth,Nitrate (NO3-) content from 0 to 10 cm depth,Carbon (C) content from 0 to 10 cm depth,Carbon (C) content from 30 to 40 cm depth,Phosphorus (P) content from 30 to 40 cm depth,Ammonium (NH4+) content from 0 to 10 cm depth,Nitrogen (N) content from 0 to 10 cm depth,Phosphorus (P) content from 20 to 30 cm depth,Nitrate (NO3-) content from 50 to 60 cm depth,Carbon (C) content from 20 to 30 cm depth,Carbon (C) content from 50 to 60 cm depth,Nitrate (NO3-) content from 30 to 40 cm depth,Nitrogen (N) content from 50 to 60 cm depth,Phosphorus (P) content from 50 to 60 cm depth,Nitrogen (N) content from 30 to 40 cm depth,Nitrate (NO3-) content from 20 to 30 cm depth,Ammonium (NH4+) content from 50 to 60 cm depth,Ammonium (NH4+) content from 20 to 30 cm depth,Ammonium (NH4+) content from 30 to 40 cm depth,Nitrogen (N) content from 20 to 30 cm depth","[{'subject': 'Carbon and Nitrogen cycles, soil moisture, rainfall, vegetation', 'subjectScheme': 'main'}, {'subject': 'Sahelian climate', 'subjectScheme': 'main'}, {'subject': 'Phosphorus (P) content from 0 to 10 cm depth', 'subjectScheme': 'var'}, {'subject': 'Nitrate (NO3-) content from 0 to 10 cm depth', 'subjectScheme': 'var'}, {'subject': 'Carbon (C) content from 0 to 10 cm depth', 'subjectScheme': 'var'}, {'subject': 'Carbon (C) content from 30 to 40 cm depth', 'subjectScheme': 'var'}, {'subject': 'Phosphorus (P) content from 30 to 40 cm depth', 'subjectScheme': 'var'}, {'subject': 'Ammonium (NH4+) content from 0 to 10 cm depth', 'subjectScheme': 'var'}, {'subject': 'Nitrogen (N) content from 0 to 10 cm depth', 'subjectScheme': 'var'}, {'subject': 'Phosphorus (P) content from 20 to 30 cm depth', 'subjectScheme': 'var'}, {'subject': 'Nitrate (NO3-) content from 50 to 60 cm depth', 'subjectScheme': 'var'}, {'subject': 'Carbon (C) content from 20 to 30 cm depth', 'subjectScheme': 'var'}, {'subject': 'Carbon (C) content from 50 to 60 cm depth', 'subjectScheme': 'var'}, {'subject': 'Nitrate (NO3-) content from 30 to 40 cm depth', 'subjectScheme': 'var'}, {'subject': 'Nitrogen (N) content from 50 to 60 cm depth', 'subjectScheme': 'var'}, {'subject': 'Phosphorus (P) content from 50 to 60 cm depth', 'subjectScheme': 'var'}, {'subject': 'Nitrogen (N) content from 30 to 40 cm depth', 'subjectScheme': 'var'}, {'subject': 'Nitrate (NO3-) content from 20 to 30 cm depth', 'subjectScheme': 'var'}, {'subject': 'Ammonium (NH4+) content from 50 to 60 cm depth', 'subjectScheme': 'var'}, {'subject': 'Ammonium (NH4+) content from 20 to 30 cm depth', 'subjectScheme': 'var'}, {'subject': 'Ammonium (NH4+) content from 30 to 40 cm depth', 'subjectScheme': 'var'}, {'subject': 'Nitrogen (N) content from 20 to 30 cm depth', 'subjectScheme': 'var'}]",,"['CSV', 'NETCDF', 'O&M 1.0']"
+10.17178/emaa_para-d2s_rotation_1e071ded,Rotation excitation of para-D2S by ortho-H2 and para-H2 collisions,"UGA, CNRS, CNRS-INSU, OSUG",2022,en,Dataset,"Please acknowledge the use of EMAA Database by citing the original articles in which the data were published (BibTeX format available), and adding the following sentence in your publication:
+This research has made use of spectroscopic and collisional data from the EMAA database (https://emaa.osug.fr). EMAA is supported by the Observatoire des Sciences de l'Univers de Grenoble (OSUG),Creative Commons Attribution 4.0 International,Data access and use are ruled by the EMAA data policy.",25 rotation energy levels / 54 radiative transitions / 300 collisional transitions for ortho-H2 (11 temperatures in the range 5-400K) / 300 collisional transitions for para-H2 (11 temperatures in the range 5-400K),mds,True,findable,0,0,0,0,0,2023-12-07T15:52:09.000Z,2023-12-07T15:52:09.000Z,inist.osug,jbru,"target para-D2S,excitationType Rotation,collisional excitation,collider.0 ortho-H2,collider.1 para-H2,astrophysics,interstellar medium,comets,circumstellar medium,gas,microwave spectroscopy,infrared spectroscopy,rotational excitation,rovibrational excitation,vibrational excitation,electronic excitation,collisional rate coefficients,fine structure,hyperfine structure","[{'subject': 'target para-D2S', 'subjectScheme': 'main'}, {'subject': 'excitationType Rotation', 'subjectScheme': 'main'}, {'subject': 'collisional excitation', 'subjectScheme': 'main'}, {'subject': 'collider.0 ortho-H2', 'subjectScheme': 'var'}, {'subject': 'collider.1 para-H2', 'subjectScheme': 'var'}, {'subject': 'astrophysics', 'subjectScheme': 'var'}, {'subject': 'interstellar medium', 'subjectScheme': 'var'}, {'subject': 'comets', 'subjectScheme': 'var'}, {'subject': 'circumstellar medium', 'subjectScheme': 'var'}, {'subject': 'gas', 'subjectScheme': 'var'}, {'subject': 'microwave spectroscopy', 'subjectScheme': 'var'}, {'subject': 'infrared spectroscopy', 'subjectScheme': 'var'}, {'subject': 'rotational excitation', 'subjectScheme': 'var'}, {'subject': 'rovibrational excitation', 'subjectScheme': 'var'}, {'subject': 'vibrational excitation', 'subjectScheme': 'var'}, {'subject': 'electronic excitation', 'subjectScheme': 'var'}, {'subject': 'collisional rate coefficients', 'subjectScheme': 'var'}, {'subject': 'fine structure', 'subjectScheme': 'var'}, {'subject': 'hyperfine structure', 'subjectScheme': 'var'}]",,['Radex']
+10.5281/zenodo.3625778,Database rockfills,Zenodo,2020,,Dataset,"Creative Commons Attribution 4.0 International,Open Access","Data compilation from large drained compression triaxial tests on coarse crushable rockfill materials. With the aim of enlarging and consolidating the database on the mechanical behavior of coarse rockfills, this file compiles 158 drained triaxial compression tests conducted on 33 different materials, performed on samples of about 1000 mm in diameter and with maximum particle size between 100 and 200 mm.",mds,True,findable,0,0,0,0,0,2020-01-23T13:16:04.000Z,2020-01-23T13:16:04.000Z,cern.zenodo,cern,"rockfill, large triaxial tests, particle crushing, shear strength, secant stiffness","[{'subject': 'rockfill, large triaxial tests, particle crushing, shear strength, secant stiffness'}]",,
+10.17178/amma-catch.pa.met_snnr,"Meteorological dataset (including radiative budget and soil variables), in the Niakhar site (Ragola station), Senegal","IRD, CNRS-INSU, OSUG, OMP, OREME",2018,en,Dataset,"Creative Commons Attribution 4.0 International,Data access and use are ruled by the AMMA-CATCH data policy.,For any publication using AMMA-CATCH data, authors are asked to:
+
+Mandatory: cite the reference article and the DOI of the observatory
+
+ (1) Galle et al. (2018). AMMA-CATCH a Critical Zone Observatory in West Africa Monitoring a Region in Transition. Vadose Zone Journal, 17 (1), 18006.
+ (2) AMMA-CATCH (1990). AMMA-CATCH : a hydrological, meteorological and ecological observatory on West Africa. IRD, CNRS-INSU, OSUG, OMP, OREME. doi:10.17178/AMMA-CATCH.all
+
+Optional: cite the DOI of each dataset used.
+
+Co-authorship: depending on the contribution of the data to the scientific results obtained, the authors should either propose co-authorship to the data providers or at least acknowledge their contribution.",Document atmospheric forcing. Contribute to the Ragola flux station.,mds,True,findable,0,0,1,0,0,2021-11-15T12:53:49.000Z,2021-11-15T12:53:50.000Z,inist.osug,jbru,"Meteorology, radiative budget,Sahelian climate,Relative Humidity,Air Temperature","[{'subject': 'Meteorology, radiative budget', 'subjectScheme': 'main'}, {'subject': 'Sahelian climate', 'subjectScheme': 'main'}, {'subject': 'Relative Humidity', 'subjectScheme': 'var'}, {'subject': 'Air Temperature', 'subjectScheme': 'var'}]",,"['CSV', 'NETCDF', 'O&M 1.0']"
+10.48537/hal-03220355,Ambiance In and Around the Virtual Reality Headset,Reseau International Ambiances,2020,en,Text,Creative Commons Attribution Non Commercial No Derivatives 2.0 Generic,"Ambient perception in virtual reality is split between perceiving the virtual space inside the headset and perceiving the surrounding physical environment. While promises of VR “immersion†frequently ignore the surrounding space, an ambient perspective reveals how immersion in VR is always at least double: any immersion in virtual space comes nested within an immersion in the atmospheres already surrounding VR use. This essay seeks to understand how these two layers cohere both spatially and temporally across the interface of the VR headset. An ambient perspective on VR demonstrates how even the most immersive media must be understood as shaped by the spaces surrounding the interface itself.",mds,True,findable,0,0,0,0,0,2021-06-17T09:44:09.000Z,2021-06-17T09:44:10.000Z,jbru.aau,jbru,"Ambiance,Immersion,Atmosphere,Spatial Mediation,Virtual Reality (VR)","[{'lang': 'eng', 'subject': 'Ambiance'}, {'lang': 'eng', 'subject': 'Immersion'}, {'lang': 'eng', 'subject': 'Atmosphere'}, {'lang': 'eng', 'subject': 'Spatial Mediation'}, {'lang': 'eng', 'subject': 'Virtual Reality (VR)'}]",['6 pages'],['application/pdf']
+10.17178/cryobsclim.cdp.2018.metinsitu,"Col de Porte, Hourly meteorological data",CNRS - OSUG - Meteo France,2018,en,Dataset,"Data access and use are ruled by the CRYOBS-CLIM data policy.,Always quote below citation to Lejeune et al. (2019) when using data.
+ Lejeune, Y., Dumont, M., Panel J.-M., Lafaysse, M., Lapalus, P., Le Gac, E., Lesaffre, B. and Morin, S., 57 years (1960-2017) of snow and meteorological observations from a mid-altitude mountain site (Col de Porte, France, 1325 m alt.), Earth System Science Data, 11(2019), 71-88, https://doi.org/10.5194/essd-11-71-2019. The following acknowledging sentence should appear in publications using Cryobs-Clim-CDP data and products: ""Cryobs-Clim Col de Porte is funded by Meteo France, the Institut National des Sciences de l’Univers (INSU/CNRS), and the Observatoire des Sciences de l’Univers de Grenoble (OSUG / Université Grenoble Alpes)â€. You are invited to contact the PI(s) or lead scientist for more information about the data and to include the acknowledgement sentence in any publication using the data.","This dataset is part of the Cryobs-Clim-CDP (CRYosphere, an OBServatory of the CLIMate – Col de Porte) observatory",mds,True,findable,0,0,1,0,0,2018-07-19T07:26:35.000Z,2018-07-19T07:27:38.000Z,inist.osug,jbru,"Air Temperature,Specific Humidity,Wind speed,Rainfall rate,Snowfall rate,Incident longwave radiation,Incident shortwave direct radiation,Incident shortwave diffuse radiation,Surface pressure,Nebulosity","[{'subject': 'Air Temperature', 'subjectScheme': 'main'}, {'subject': 'Specific Humidity', 'subjectScheme': 'main'}, {'subject': 'Wind speed', 'subjectScheme': 'main'}, {'subject': 'Rainfall rate', 'subjectScheme': 'main'}, {'subject': 'Snowfall rate', 'subjectScheme': 'main'}, {'subject': 'Incident longwave radiation', 'subjectScheme': 'main'}, {'subject': 'Incident shortwave direct radiation', 'subjectScheme': 'main'}, {'subject': 'Incident shortwave diffuse radiation', 'subjectScheme': 'main'}, {'subject': 'Surface pressure', 'subjectScheme': 'main'}, {'subject': 'Nebulosity', 'subjectScheme': 'main'}]",,['netCDF']
+10.6084/m9.figshare.23822160.v1,File 6 : Matlab file for part 2 and of the experiment from Mirror exposure following visual body-size adaptation does not affect own body image,The Royal Society,2023,,Dataset,Creative Commons Attribution 4.0 International,File 6 : This matlab file corresponds to the adaptation and post adaptation PSE measures and should be launched second.,mds,True,findable,0,0,0,0,0,2023-08-02T11:18:28.000Z,2023-08-02T11:18:28.000Z,figshare.ars,otjm,"Cognitive Science not elsewhere classified,Psychology and Cognitive Sciences not elsewhere classified","[{'subject': 'Cognitive Science not elsewhere classified'}, {'subject': 'Psychology and Cognitive Sciences not elsewhere classified'}]",['20342 Bytes'],
+10.6084/m9.figshare.c.6756888,Flexible optical fiber channel modeling based on a neural network module,Optica Publishing Group,2023,,Collection,Creative Commons Attribution 4.0 International,"Optical fiber channel modeling which is essential in optical transmission system simulations and designs is usually based on the split-step Fourier method (SSFM), making the simulation quite time-consuming owing to the iteration steps. Here, we train a neural network module termed by NNSpan to learn the transfer function of one single fiber (G652 or G655) span with a length of 80km and successfully emulate long-haul optical transmission systems by cascading multiple NNSpans with a remarkable prediction accuracy even over a transmission distance of 1000km. Although training without erbium-doped fiber amplifier (EDFA) noise, NNSpan performs quite well when emulating the systems affected by EDFA noise. An optical bandpass filter can be added after EDFA optionally, making the simulation more flexible. Comparison with the SSFM shows that the NNSpan has a distinct computational advantage with the computation time reduced by a factor of 12. This method based on the NNSpan could be a supplementary option for optical transmission system simulations, thus contributing to system designs as well.",mds,True,findable,0,0,0,0,0,2023-08-10T20:33:33.000Z,2023-08-10T20:33:33.000Z,figshare.ars,otjm,Uncategorized,[{'subject': 'Uncategorized'}],,
+10.17178/emaa_hd_rovibration_805a7aa5,Rovibration excitation of HD by H and H+ collisions,"UGA, CNRS, CNRS-INSU, OSUG",2023,en,Dataset,"Please acknowledge the use of EMAA Database by citing the original articles in which the data were published (BibTeX format available), and adding the following sentence in your publication:
+This research has made use of spectroscopic and collisional data from the EMAA database (https://emaa.osug.fr). EMAA is supported by the Observatoire des Sciences de l'Univers de Grenoble (OSUG),Creative Commons Attribution 4.0 International,Data access and use are ruled by the EMAA data policy.",52 rovibration energy levels / 368 radiative transitions / 1326 collisional transitions for H (15 temperatures in the range 5-5000K) / 171 collisional transitions for H+ (25 temperatures in the range 5-3005K),mds,True,findable,0,0,0,0,0,2023-12-07T15:51:13.000Z,2023-12-07T15:51:13.000Z,inist.osug,jbru,"target HD,excitationType Rovibration,collisional excitation,collider.0 H,collider.1 H+,astrophysics,interstellar medium,comets,circumstellar medium,gas,microwave spectroscopy,infrared spectroscopy,rotational excitation,rovibrational excitation,vibrational excitation,electronic excitation,collisional rate coefficients,fine structure,hyperfine structure","[{'subject': 'target HD', 'subjectScheme': 'main'}, {'subject': 'excitationType Rovibration', 'subjectScheme': 'main'}, {'subject': 'collisional excitation', 'subjectScheme': 'main'}, {'subject': 'collider.0 H', 'subjectScheme': 'var'}, {'subject': 'collider.1 H+', 'subjectScheme': 'var'}, {'subject': 'astrophysics', 'subjectScheme': 'var'}, {'subject': 'interstellar medium', 'subjectScheme': 'var'}, {'subject': 'comets', 'subjectScheme': 'var'}, {'subject': 'circumstellar medium', 'subjectScheme': 'var'}, {'subject': 'gas', 'subjectScheme': 'var'}, {'subject': 'microwave spectroscopy', 'subjectScheme': 'var'}, {'subject': 'infrared spectroscopy', 'subjectScheme': 'var'}, {'subject': 'rotational excitation', 'subjectScheme': 'var'}, {'subject': 'rovibrational excitation', 'subjectScheme': 'var'}, {'subject': 'vibrational excitation', 'subjectScheme': 'var'}, {'subject': 'electronic excitation', 'subjectScheme': 'var'}, {'subject': 'collisional rate coefficients', 'subjectScheme': 'var'}, {'subject': 'fine structure', 'subjectScheme': 'var'}, {'subject': 'hyperfine structure', 'subjectScheme': 'var'}]",,['Radex']
+10.5281/zenodo.5727127,"Data related to ""Near-bed sediment transport during offshore bar migration in large-scale experiments""",Zenodo,2021,,Dataset,"Creative Commons Attribution 4.0 International,Open Access","Abstract: This paper presents novel insights into hydrodynamics and sediment fluxes in large-scale laboratory experiments with bi-chromatic wave groups on a relatively steep initial slope (1:15). An Acoustic Concentration and Velocity Profiler provided detailed information of velocity and sand concentration near the bed from shoaling up to the outer breaking zone including suspended sediment and sheet flow transport. The morphological evolution was characterized by offshore migration of the outer breaker bar. Decomposition of the total net transport revealed a balance of onshore-directed, short wave-related and offshore-directed, current-related net transport. The short wave-related transport mainly occurred as bedload over small vertical extents. It was linked to characteristic intrawave sheet flow layer expansions during short wave crests. The current-related transport rate featured lower maximum flux magnitudes but occurred over larger vertical extents. As a result, it was larger than the short wave-related transport rate in all but one cross-shore position, driving the bar's offshore migration. Net flux magnitudes of the infragravity component were comparatively low but played a non-negligible role for total net transport rate in certain cross-shore positions. Net infragravity flux profiles sometimes featured opposing directions over the vertical. The fluxes were linked to a standing infragravity wave pattern and to the correlation of the short wave envelope, controlling suspension, with the infragravity wave velocity. About the data: The data on beach profile (from mechanical profiler), velocity (from ACVP and ADV), sand concentration (from ACVP and OBS) and water surface elevation (from RWG, AWG and PT) measurements is given in .mat (MATLAB) files. The folder “Beach Profiles†contains the measurements from the mechanical profiler before and after each test. To save time, only the morphologically active section of the profiles was measured. Additionally, the folder contains the initial profiles at the start of a sequence (after application of the benchmark waves). Here the full profile was measured. The structure “MobFrame†contains the absolute cross-shore position of the mobile frame (from which detailed measurements were taken) in the considered tests. The folder “ACVP†contains structures with ensemble-averaged velocity and concentration measurements in vertical reference to the undisturbed bed level or a few bins below it (zeta0-coordinate system) sampled at 50.5051Hz. For better interpretation of the measurements, it also features the ensemble-averaged intrawave instantaneous erosion depth (bed elevation) and the upper limit of the sheet flow layer. The folder “ADV†contains structures with the ensemble-averaged ADV data of each test sampled at 100Hz. Apart from the velocity components of each ADV it contains the vertical elevation of each ADV with respect to the ACVP transceiver. The ADV measurements were not subject to the same vertical referencing procedure that was described in the paper for the near-bed ACVP measurements and a more or less constant distance to the bed was assumed. The folder “OBS†contains structures with the ensemble-averaged OBS data of each test sampled at 40Hz. Apart from the concentration measurements it contains the vertical elevation of the OBSs with respect to the ACVP transceiver. The folder “ETA†contains structures with the ensemble-averaged water surface elevation measurements in many different absolute cross-shore locations in the flume sampled at 40Hz. For visualizing the near-bed concentration data, which may not be as trivial as visualizing the rest of the data, an example of MATLAB code is given: %S=ACVP_xx; %to choose which ACVP file you want to look into<br> con=S.c;<br> con(con<1)=1; %to cater for the cells where the logarithm is not defined<br> xphase=linspace(0,1,length(S.solbed)).*ones(size(S.c,2),size(S.c,1));<br> figure; hold on; box on; <br> [C,h]=contourf(xphase,S.z,log10(transpose(con)),[0:0.1:3]); <br> cbh=colorbar; caxis([0 3]); <br> set(h,'edgecolor','none'); <br> tt=get(cbh,'Title'); set(tt,'String','$^{10}log(c)$ $[kg/m^3]$','Interpreter','Latex');<br> plot(xphase(1,:),S.solbed,'k','Linewidth',1.5);<br> plot(xphase(1,:),S.solflo,'r','Linewidth',1.5);<br> xlabel('$t/T_r$','Interpreter','Latex')<br> ylabel('$\zeta_0$ $[m]$','Interpreter','Latex')<br> set(gca,'Fontsize',18)",mds,True,findable,0,0,0,0,0,2021-11-25T12:32:45.000Z,2021-11-25T12:32:46.000Z,cern.zenodo,cern,,,,
+10.17178/emaa_c2h_hyperfine_e0d01d58,Hyperfine excitation of C2H by ortho-H2 and para-H2 collisions,"UGA, CNRS, CNRS-INSU, OSUG",2023,en,Dataset,"Please acknowledge the use of EMAA Database by citing the original articles in which the data were published (BibTeX format available), and adding the following sentence in your publication:
+This research has made use of spectroscopic and collisional data from the EMAA database (https://emaa.osug.fr). EMAA is supported by the Observatoire des Sciences de l'Univers de Grenoble (OSUG),Creative Commons Attribution 4.0 International,Data access and use are ruled by the EMAA data policy.",38 hyperfine energy levels / 94 radiative transitions / 702 collisional transitions for para-H2 (30 temperatures in the range 10-300K) / 703 collisional transitions for ortho-H2 (30 temperatures in the range 10-300K),mds,True,findable,0,0,0,0,0,2023-12-07T15:50:40.000Z,2023-12-07T15:50:41.000Z,inist.osug,jbru,"target C2H,excitationType Hyperfine,collisional excitation,collider.0 para-H2,collider.1 ortho-H2,astrophysics,interstellar medium,comets,circumstellar medium,gas,microwave spectroscopy,infrared spectroscopy,rotational excitation,rovibrational excitation,vibrational excitation,electronic excitation,collisional rate coefficients,fine structure,hyperfine structure","[{'subject': 'target C2H', 'subjectScheme': 'main'}, {'subject': 'excitationType Hyperfine', 'subjectScheme': 'main'}, {'subject': 'collisional excitation', 'subjectScheme': 'main'}, {'subject': 'collider.0 para-H2', 'subjectScheme': 'var'}, {'subject': 'collider.1 ortho-H2', 'subjectScheme': 'var'}, {'subject': 'astrophysics', 'subjectScheme': 'var'}, {'subject': 'interstellar medium', 'subjectScheme': 'var'}, {'subject': 'comets', 'subjectScheme': 'var'}, {'subject': 'circumstellar medium', 'subjectScheme': 'var'}, {'subject': 'gas', 'subjectScheme': 'var'}, {'subject': 'microwave spectroscopy', 'subjectScheme': 'var'}, {'subject': 'infrared spectroscopy', 'subjectScheme': 'var'}, {'subject': 'rotational excitation', 'subjectScheme': 'var'}, {'subject': 'rovibrational excitation', 'subjectScheme': 'var'}, {'subject': 'vibrational excitation', 'subjectScheme': 'var'}, {'subject': 'electronic excitation', 'subjectScheme': 'var'}, {'subject': 'collisional rate coefficients', 'subjectScheme': 'var'}, {'subject': 'fine structure', 'subjectScheme': 'var'}, {'subject': 'hyperfine structure', 'subjectScheme': 'var'}]",,['Radex']
+10.48537/hal-03220297,"Digital Architecture. Atmospheres in Design and New Responsive & Sensitive Configurations, Session 5 – Introduction",Reseau International Ambiances,2020,en,Text,Creative Commons Attribution Non Commercial No Derivatives 2.0 Generic,,mds,True,findable,0,0,0,0,0,2021-06-17T16:47:27.000Z,2021-06-17T16:47:28.000Z,jbru.aau,jbru,,,['2 pages'],['application/pdf']
10.17178/emaa_oh-plus_hyperfine_1d30b9b4,Hyperfine excitation of OH+ by H and electron collisions,"UGA, CNRS, CNRS-INSU, OSUG",2021,en,Dataset,"Please acknowledge the use of EMAA Database by citing the original articles in which the data were published (BibTeX format available), and adding the following sentence in your publication:
This research has made use of spectroscopic and collisional data from the EMAA database (https://emaa.osug.fr). EMAA is supported by the Observatoire des Sciences de l'Univers de Grenoble (OSUG),Creative Commons Attribution 4.0 International,Data access and use are ruled by the EMAA data policy.",67 hyperfine energy levels / 252 radiative transitions / 875 collisional transitions for H (10 temperatures in the range 10-1000K) / 1945 collisional transitions for electron (12 temperatures in the range 10-3000K),mds,True,findable,0,0,0,0,0,2022-02-07T11:25:25.000Z,2022-02-07T11:25:25.000Z,inist.osug,jbru,"target OH+,excitationType Hyperfine,collisional excitation,collider.0 H,collider.1 electron,astrophysics,interstellar medium,comets,circumstellar medium,gas,microwave spectroscopy,infrared spectroscopy,rotational excitation,rovibrational excitation,vibrational excitation,electronic excitation,collisional rate coefficients,fine structure,hyperfine structure","[{'subject': 'target OH+', 'subjectScheme': 'main'}, {'subject': 'excitationType Hyperfine', 'subjectScheme': 'main'}, {'subject': 'collisional excitation', 'subjectScheme': 'main'}, {'subject': 'collider.0 H', 'subjectScheme': 'var'}, {'subject': 'collider.1 electron', 'subjectScheme': 'var'}, {'subject': 'astrophysics', 'subjectScheme': 'var'}, {'subject': 'interstellar medium', 'subjectScheme': 'var'}, {'subject': 'comets', 'subjectScheme': 'var'}, {'subject': 'circumstellar medium', 'subjectScheme': 'var'}, {'subject': 'gas', 'subjectScheme': 'var'}, {'subject': 'microwave spectroscopy', 'subjectScheme': 'var'}, {'subject': 'infrared spectroscopy', 'subjectScheme': 'var'}, {'subject': 'rotational excitation', 'subjectScheme': 'var'}, {'subject': 'rovibrational excitation', 'subjectScheme': 'var'}, {'subject': 'vibrational excitation', 'subjectScheme': 'var'}, {'subject': 'electronic excitation', 'subjectScheme': 'var'}, {'subject': 'collisional rate coefficients', 'subjectScheme': 'var'}, {'subject': 'fine structure', 'subjectScheme': 'var'}, {'subject': 'hyperfine structure', 'subjectScheme': 'var'}]",,['Radex']
-10.17178/emaa,EMAA,"UGA, CNRS, CNRS-INSU, OSUG",2021,en,Service,"Please acknowledge the use of EMAA Database by citing the original articles in which the data were published (BibTeX format available), and adding the following sentence in your publication:
-This research has made use of spectroscopic and collisional data from the EMAA database (https://emaa.osug.fr). EMAA is supported by the Observatoire des Sciences de l'Univers de Grenoble (OSUG),Creative Commons Attribution 4.0 International,Data access and use are ruled by the EMAA data policy.","The EMAA database contains collisional excitation rates data calculated for astrophysically-relevant atomic and molecular systems for a range of temperatures. It covers rotational, vibrational, rovibrational and reactive excitation. It provides different levels of data taking into account rotational levels, and fine and hyperfine levels, when relevant. The collisional data are distributed combined with the spectroscopic data (energy levels, radiative transitions) in the form of a RADEX file.",mds,True,findable,0,0,0,0,0,2021-11-17T14:00:45.000Z,2021-11-17T14:00:46.000Z,inist.osug,jbru,"collisional excitation,astrophysics,interstellar medium,comets,circumstellar medium,gas,microwave spectroscopy,infrared spectroscopy,rotational excitation,rovibrational excitation,vibrational excitation,electronic excitation,collisional rate coefficients,fine structure,hyperfine structure","[{'subject': 'collisional excitation', 'subjectScheme': 'main'}, {'subject': 'astrophysics', 'subjectScheme': 'var'}, {'subject': 'interstellar medium', 'subjectScheme': 'var'}, {'subject': 'comets', 'subjectScheme': 'var'}, {'subject': 'circumstellar medium', 'subjectScheme': 'var'}, {'subject': 'gas', 'subjectScheme': 'var'}, {'subject': 'microwave spectroscopy', 'subjectScheme': 'var'}, {'subject': 'infrared spectroscopy', 'subjectScheme': 'var'}, {'subject': 'rotational excitation', 'subjectScheme': 'var'}, {'subject': 'rovibrational excitation', 'subjectScheme': 'var'}, {'subject': 'vibrational excitation', 'subjectScheme': 'var'}, {'subject': 'electronic excitation', 'subjectScheme': 'var'}, {'subject': 'collisional rate coefficients', 'subjectScheme': 'var'}, {'subject': 'fine structure', 'subjectScheme': 'var'}, {'subject': 'hyperfine structure', 'subjectScheme': 'var'}]",,['Radex']
-10.17178/emaa_(13c)h-plus_rotation_4b641db0,Rotation excitation of [13C]H+ by H and electron collisions,"UGA, CNRS, CNRS-INSU, OSUG",2021,en,Dataset,"Please acknowledge the use of EMAA Database by citing the original articles in which the data were published (BibTeX format available), and adding the following sentence in your publication:
-This research has made use of spectroscopic and collisional data from the EMAA database (https://emaa.osug.fr). EMAA is supported by the Observatoire des Sciences de l'Univers de Grenoble (OSUG),Creative Commons Attribution 4.0 International,Data access and use are ruled by the EMAA data policy.",12 rotation energy levels / 11 radiative transitions / 91 collisional transitions for H (12 temperatures in the range 10-3000K) / 60 collisional transitions for electron (12 temperatures in the range 10-3000K),mds,True,findable,0,0,0,0,0,2021-11-18T13:34:26.000Z,2021-11-18T13:34:27.000Z,inist.osug,jbru,"target [13C]H+,excitationType Rotation,collisional excitation,collider.0 H,collider.1 electron,astrophysics,interstellar medium,comets,circumstellar medium,gas,microwave spectroscopy,infrared spectroscopy,rotational excitation,rovibrational excitation,vibrational excitation,electronic excitation,collisional rate coefficients,fine structure,hyperfine structure","[{'subject': 'target [13C]H+', 'subjectScheme': 'main'}, {'subject': 'excitationType Rotation', 'subjectScheme': 'main'}, {'subject': 'collisional excitation', 'subjectScheme': 'main'}, {'subject': 'collider.0 H', 'subjectScheme': 'var'}, {'subject': 'collider.1 electron', 'subjectScheme': 'var'}, {'subject': 'astrophysics', 'subjectScheme': 'var'}, {'subject': 'interstellar medium', 'subjectScheme': 'var'}, {'subject': 'comets', 'subjectScheme': 'var'}, {'subject': 'circumstellar medium', 'subjectScheme': 'var'}, {'subject': 'gas', 'subjectScheme': 'var'}, {'subject': 'microwave spectroscopy', 'subjectScheme': 'var'}, {'subject': 'infrared spectroscopy', 'subjectScheme': 'var'}, {'subject': 'rotational excitation', 'subjectScheme': 'var'}, {'subject': 'rovibrational excitation', 'subjectScheme': 'var'}, {'subject': 'vibrational excitation', 'subjectScheme': 'var'}, {'subject': 'electronic excitation', 'subjectScheme': 'var'}, {'subject': 'collisional rate coefficients', 'subjectScheme': 'var'}, {'subject': 'fine structure', 'subjectScheme': 'var'}, {'subject': 'hyperfine structure', 'subjectScheme': 'var'}]",,['Radex']
-10.17178/emaa_ortho-nh3_rotation_7565c572,"Rotation excitation of ortho-NH3 by H, ortho-H2 and para-H2 collisions","UGA, CNRS, CNRS-INSU, OSUG",2021,en,Dataset,"Please acknowledge the use of EMAA Database by citing the original articles in which the data were published (BibTeX format available), and adding the following sentence in your publication:
-This research has made use of spectroscopic and collisional data from the EMAA database (https://emaa.osug.fr). EMAA is supported by the Observatoire des Sciences de l'Univers de Grenoble (OSUG),Creative Commons Attribution 4.0 International,Data access and use are ruled by the EMAA data policy.",17 rotation energy levels / 25 radiative transitions / 136 collisional transitions for H (20 temperatures in the range 10-200K) / 136 collisional transitions for ortho-H2 (20 temperatures in the range 10-200K) / 136 collisional transitions for para-H2 (20 temperatures in the range 10-200K),mds,True,findable,0,0,0,0,0,2021-11-17T14:01:50.000Z,2021-11-17T14:01:52.000Z,inist.osug,jbru,"target ortho-NH3,excitationType Rotation,collisional excitation,collider.0 H,collider.1 ortho-H2,collider.2 para-H2,astrophysics,interstellar medium,comets,circumstellar medium,gas,microwave spectroscopy,infrared spectroscopy,rotational excitation,rovibrational excitation,vibrational excitation,electronic excitation,collisional rate coefficients,fine structure,hyperfine structure","[{'subject': 'target ortho-NH3', 'subjectScheme': 'main'}, {'subject': 'excitationType Rotation', 'subjectScheme': 'main'}, {'subject': 'collisional excitation', 'subjectScheme': 'main'}, {'subject': 'collider.0 H', 'subjectScheme': 'var'}, {'subject': 'collider.1 ortho-H2', 'subjectScheme': 'var'}, {'subject': 'collider.2 para-H2', 'subjectScheme': 'var'}, {'subject': 'astrophysics', 'subjectScheme': 'var'}, {'subject': 'interstellar medium', 'subjectScheme': 'var'}, {'subject': 'comets', 'subjectScheme': 'var'}, {'subject': 'circumstellar medium', 'subjectScheme': 'var'}, {'subject': 'gas', 'subjectScheme': 'var'}, {'subject': 'microwave spectroscopy', 'subjectScheme': 'var'}, {'subject': 'infrared spectroscopy', 'subjectScheme': 'var'}, {'subject': 'rotational excitation', 'subjectScheme': 'var'}, {'subject': 'rovibrational excitation', 'subjectScheme': 'var'}, {'subject': 'vibrational excitation', 'subjectScheme': 'var'}, {'subject': 'electronic excitation', 'subjectScheme': 'var'}, {'subject': 'collisional rate coefficients', 'subjectScheme': 'var'}, {'subject': 'fine structure', 'subjectScheme': 'var'}, {'subject': 'hyperfine structure', 'subjectScheme': 'var'}]",,['Radex']
-10.17178/amma-catch.ce.veg_ncw,"Vegetation dataset (seasonal dynamics of millet and fallow), within the Wankama watershed (1 km2), Niger","IRD, CNRS-INSU, OSUG, OMP, OREME",2005,en,Dataset,"Creative Commons Attribution 4.0 International,Data access and use are ruled by the AMMA-CATCH data policy.,For any publication using AMMA-CATCH data, authors are asked to:
+10.17178/zaa_soil_temp.gloria,Long term monitoring of near surface soil temperature in the GLORIA site Fr-AME,UGA – OSUG – CNRS,2021,en,Dataset,"Creative Commons Attribution 4.0 International,For any publication using ZAA data, depending on the contribution of the data to the scientific results obtained, data users should either propose co-authorship to the data providers (doi Project leaders) or at least acknowledge their contribution.
+The acknowledging sentence which should appear in publications using ZAA temp-soil data and products is in the readme file joint with the dataset","Monitoring of near-surface soil temperature on high summits. Data is part of the long-term monitoring program GLORIA https://gloria.ac.at/home and correspond to the FR-AME site located in Mercantour. Data include a GPS position, a date and time in UTC and a near-surface soil temperature (in °C) measured at 5 cm belowground using stand-alone temperature data logger.",mds,True,findable,0,0,0,0,0,2021-07-13T13:43:37.000Z,2021-07-13T13:43:39.000Z,inist.osug,jbru,"microclimate,mountain climate,long-term monitoring,soil,root zone,cold zone ecosystem,soil temperature","[{'subject': 'microclimate', 'subjectScheme': 'main'}, {'subject': 'mountain climate', 'subjectScheme': 'main'}, {'subject': 'long-term monitoring', 'subjectScheme': 'main'}, {'subject': 'soil', 'subjectScheme': 'main'}, {'subject': 'root zone', 'subjectScheme': 'main'}, {'subject': 'cold zone ecosystem', 'subjectScheme': 'main'}, {'subject': 'soil temperature', 'subjectScheme': 'var'}]",,['CSV']
+10.48537/hal-03220315,"Three Avant-Garde Masterpieces: Atmosphères, Aura, Stimmung, Can Music Suggest an Original Interpretation of These Themes?",Reseau International Ambiances,2020,en,Text,Creative Commons Attribution Non Commercial No Derivatives 2.0 Generic,"Thinking about the predictable in-presence 4th International Congress on Ambiances 2020 I wrote: “I will propose to the listener some significant fragments of these three compositions to trigger a discussion that will focus on the core of my intervention: single-word titles that have implications that reach far beyond mere musical fact. My question will be: ‘Can music offer an original interpretation of these themes suggesting new research perspectives?’†An unpredictable situation forces to rearrange the sequence: the proceedings will precede the other actions. My question remains and, since I am a composer, I feel comfortable purposing this text as the draft of a score. A score is an imagined memory of a musical event to come. I propose here a two steps participative process: a de-composition and a re-composition.",mds,True,findable,0,0,0,0,0,2021-06-17T16:47:56.000Z,2021-06-17T16:47:57.000Z,jbru.aau,jbru,"Aura,Stimmung,Atmosphères,Participatory Music Project","[{'lang': 'eng', 'subject': 'Aura'}, {'lang': 'eng', 'subject': 'Stimmung'}, {'lang': 'eng', 'subject': 'Atmosphères'}, {'lang': 'eng', 'subject': 'Participatory Music Project'}]",['6 pages'],['application/pdf']
+10.6084/m9.figshare.24165071.v1,Additional file 1 of Non-ventilator-associated ICU-acquired pneumonia (NV-ICU-AP) in patients with acute exacerbation of COPD: From the French OUTCOMEREA cohort,figshare,2023,,Text,Creative Commons Attribution 4.0 International,Additional file 1. Members of the OutcomeRea Network.,mds,True,findable,0,0,0,0,0,2023-09-20T03:22:50.000Z,2023-09-20T03:22:51.000Z,figshare.ars,otjm,"Medicine,Microbiology,FOS: Biological sciences,Genetics,Molecular Biology,Neuroscience,Biotechnology,Evolutionary Biology,Immunology,FOS: Clinical medicine,Cancer,Science Policy,Virology","[{'subject': 'Medicine'}, {'subject': 'Microbiology'}, {'subject': 'FOS: Biological sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Genetics'}, {'subject': 'Molecular Biology'}, {'subject': 'Neuroscience'}, {'subject': 'Biotechnology'}, {'subject': 'Evolutionary Biology'}, {'subject': 'Immunology'}, {'subject': 'FOS: Clinical medicine', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Cancer'}, {'subject': 'Science Policy'}, {'subject': 'Virology'}]",['107186 Bytes'],
+10.17178/amma-catch.cl.run_o,"Surface water dataset (river discharge), within the upper Oueme watershed (14 000 km2 ), Benin","IRD, CNRS-INSU, OSUG, OMP, OREME",1996,en,Dataset,"Creative Commons Attribution 4.0 International,Data access and use are ruled by the AMMA-CATCH data policy.,For any publication using AMMA-CATCH data, authors are asked to:
Mandatory: cite the reference article and the DOI of the observatory
@@ -3161,9 +2468,24 @@ Mandatory: cite the reference article and the DOI of the observatory
Optional: cite the DOI of each dataset used.
-Co-authorship: depending on the contribution of the data to the scientific results obtained, the authors should either propose co-authorship to the data providers or at least acknowledge their contribution.","1) Characterize the vegetation of a representative Sahelian watershed and, especially of the flux stations's footprints, 2) Observations required to parameterize and validate Soil-Vegetation-Atmosphere Transfer (SVAT), hydrologic and vegetation models.",mds,True,findable,0,0,1,0,0,2018-03-16T15:37:06.000Z,2018-03-16T15:37:07.000Z,inist.osug,jbru,"LAI, biomass, cover height, phenology, millet field, fallow,Sahelian climate,Cover Height Mean,Cover Height Standard Deviation,Dry Total Biomass Standard Deviation,Leaf Area Index,Dry Total Biomass Mean","[{'subject': 'LAI, biomass, cover height, phenology, millet field, fallow', 'subjectScheme': 'main'}, {'subject': 'Sahelian climate', 'subjectScheme': 'main'}, {'subject': 'Cover Height Mean', 'subjectScheme': 'var'}, {'subject': 'Cover Height Standard Deviation', 'subjectScheme': 'var'}, {'subject': 'Dry Total Biomass Standard Deviation', 'subjectScheme': 'var'}, {'subject': 'Leaf Area Index', 'subjectScheme': 'var'}, {'subject': 'Dry Total Biomass Mean', 'subjectScheme': 'var'}]",,"['CSV', 'NETCDF', 'O&M 1.0']"
-10.17178/gnss.products.epos.2019,GNSS position and velocity solutions calculated in the framework of the EPOS initiative with IGS final products,"CNRS, OSUG, ISTERRE",2019,en,Dataset,"License: CC BY-NC-ND 4.0,Data access and use are ruled by the OSUG data policy.,The following acknowledging sentence should appear in publications using ISTerre GNSS products: ""GNSS products are calculated and provided by the Institut of Sciences de la Terre (ISTerre), belonging to the Institut National des Sciences de l’Univers (INSU/CNRS) and the Observatoire des Sciences de l’Univers de Grenoble (OSUG / Université Grenoble Alpes)"".
-You are invited to contact the PI(s) or lead scientist for more information about the data and to include the acknowledgement sentence in any publication using the data.","This dataset include all GNSS solutions processed by ISTerre with IGS final products in the framework of the EPOS initiative. These products are position time series (North, East and Vertical) and the horizontal and vertical velocity fields calculated from rinex files using the double difference method with GAMIT software. These products are updated every day.",mds,True,findable,0,0,0,0,0,2019-11-08T14:59:31.000Z,2019-11-08T14:59:31.000Z,inist.osug,jbru,"GNSS products,Velocity field,GNSS data analysis,Time serie positioning","[{'subject': 'GNSS products', 'subjectScheme': 'main'}, {'subject': 'Velocity field', 'subjectScheme': 'var'}, {'subject': 'GNSS data analysis', 'subjectScheme': 'var'}, {'subject': 'Time serie positioning', 'subjectScheme': 'var'}]",,"['sinex', 'pos', 'PBO']"
+Co-authorship: depending on the contribution of the data to the scientific results obtained, the authors should either propose co-authorship to the data providers or at least acknowledge their contribution.","Long-term measurements (LOP) of river discharge and electrical conductivity of water on the sub-basins of the Upper Oueme. Allow to relate runoff fluctuation to rainfall variability. The electrical conductivity of river water is an integrative measure that allows documentation of the origin of waters (rainfall, surface and sub-surface runoff, watertable drainage). Associated to the chemical characterization of water (CE.Wchem_O), these data give insight into process of runoff generation, allow to compute water balance components and constitute validation datasets for hydrological models.",mds,True,findable,0,0,1,0,0,2018-03-16T15:37:17.000Z,2018-03-16T15:37:17.000Z,inist.osug,jbru,"Discharge,Sudanian climate,Discharge/Flow (hourly),Discharge/Flow (daily average),Discharge/Flow Upper Boundary Of Uncertainty Interval (hourly),Discharge/Flow Lower Boundary Of Uncertainty Interval (hourly),Discharge/Flow Upper Boundary Of Uncertainty Interval (daily average),Discharge/Flow Lower Boundary Of Uncertainty Interval (daily average)","[{'subject': 'Discharge', 'subjectScheme': 'main'}, {'subject': 'Sudanian climate', 'subjectScheme': 'main'}, {'subject': 'Discharge/Flow (hourly)', 'subjectScheme': 'var'}, {'subject': 'Discharge/Flow (daily average)', 'subjectScheme': 'var'}, {'subject': 'Discharge/Flow Upper Boundary Of Uncertainty Interval (hourly)', 'subjectScheme': 'var'}, {'subject': 'Discharge/Flow Lower Boundary Of Uncertainty Interval (hourly)', 'subjectScheme': 'var'}, {'subject': 'Discharge/Flow Upper Boundary Of Uncertainty Interval (daily average)', 'subjectScheme': 'var'}, {'subject': 'Discharge/Flow Lower Boundary Of Uncertainty Interval (daily average)', 'subjectScheme': 'var'}]",,"['CSV', 'NETCDF', 'O&M 1.0']"
+10.17178/emaa_oh_fine_73f2c321,"Fine excitation of OH by H, ortho-H2 and para-H2 collisions","UGA, CNRS, CNRS-INSU, OSUG",2022,en,Dataset,"Please acknowledge the use of EMAA Database by citing the original articles in which the data were published (BibTeX format available), and adding the following sentence in your publication:
+This research has made use of spectroscopic and collisional data from the EMAA database (https://emaa.osug.fr). EMAA is supported by the Observatoire des Sciences de l'Univers de Grenoble (OSUG),Creative Commons Attribution 4.0 International,Data access and use are ruled by the EMAA data policy.",20 fine energy levels / 50 radiative transitions / 190 collisional transitions for para-H2 (7 temperatures in the range 10-150K) / 190 collisional transitions for ortho-H2 (7 temperatures in the range 10-150K) / 66 collisional transitions for H (11 temperatures in the range 5-500K),mds,True,findable,0,0,0,0,0,2023-12-07T15:51:30.000Z,2023-12-07T15:51:30.000Z,inist.osug,jbru,"target OH,excitationType Fine,collisional excitation,collider.0 para-H2,collider.1 ortho-H2,collider.2 H,astrophysics,interstellar medium,comets,circumstellar medium,gas,microwave spectroscopy,infrared spectroscopy,rotational excitation,rovibrational excitation,vibrational excitation,electronic excitation,collisional rate coefficients,fine structure,hyperfine structure","[{'subject': 'target OH', 'subjectScheme': 'main'}, {'subject': 'excitationType Fine', 'subjectScheme': 'main'}, {'subject': 'collisional excitation', 'subjectScheme': 'main'}, {'subject': 'collider.0 para-H2', 'subjectScheme': 'var'}, {'subject': 'collider.1 ortho-H2', 'subjectScheme': 'var'}, {'subject': 'collider.2 H', 'subjectScheme': 'var'}, {'subject': 'astrophysics', 'subjectScheme': 'var'}, {'subject': 'interstellar medium', 'subjectScheme': 'var'}, {'subject': 'comets', 'subjectScheme': 'var'}, {'subject': 'circumstellar medium', 'subjectScheme': 'var'}, {'subject': 'gas', 'subjectScheme': 'var'}, {'subject': 'microwave spectroscopy', 'subjectScheme': 'var'}, {'subject': 'infrared spectroscopy', 'subjectScheme': 'var'}, {'subject': 'rotational excitation', 'subjectScheme': 'var'}, {'subject': 'rovibrational excitation', 'subjectScheme': 'var'}, {'subject': 'vibrational excitation', 'subjectScheme': 'var'}, {'subject': 'electronic excitation', 'subjectScheme': 'var'}, {'subject': 'collisional rate coefficients', 'subjectScheme': 'var'}, {'subject': 'fine structure', 'subjectScheme': 'var'}, {'subject': 'hyperfine structure', 'subjectScheme': 'var'}]",,['Radex']
+10.17178/emaa_ortho-nhd2_rotation_a29be09d,Rotation excitation of ortho-NHD2 by para-H2 collisions,"UGA, CNRS, CNRS-INSU, OSUG",2021,en,Dataset,"Please acknowledge the use of EMAA Database by citing the original articles in which the data were published (BibTeX format available), and adding the following sentence in your publication:
+This research has made use of spectroscopic and collisional data from the EMAA database (https://emaa.osug.fr). EMAA is supported by the Observatoire des Sciences de l'Univers de Grenoble (OSUG),Creative Commons Attribution 4.0 International,Data access and use are ruled by the EMAA data policy.",16 rotation energy levels / 48 radiative transitions / 120 collisional transitions for para-H2 (10 temperatures in the range 5-50K),mds,True,findable,0,0,0,0,0,2021-11-17T14:01:58.000Z,2021-11-17T14:02:00.000Z,inist.osug,jbru,"target ortho-NHD2,excitationType Rotation,collisional excitation,collider.0 para-H2,astrophysics,interstellar medium,comets,circumstellar medium,gas,microwave spectroscopy,infrared spectroscopy,rotational excitation,rovibrational excitation,vibrational excitation,electronic excitation,collisional rate coefficients,fine structure,hyperfine structure","[{'subject': 'target ortho-NHD2', 'subjectScheme': 'main'}, {'subject': 'excitationType Rotation', 'subjectScheme': 'main'}, {'subject': 'collisional excitation', 'subjectScheme': 'main'}, {'subject': 'collider.0 para-H2', 'subjectScheme': 'var'}, {'subject': 'astrophysics', 'subjectScheme': 'var'}, {'subject': 'interstellar medium', 'subjectScheme': 'var'}, {'subject': 'comets', 'subjectScheme': 'var'}, {'subject': 'circumstellar medium', 'subjectScheme': 'var'}, {'subject': 'gas', 'subjectScheme': 'var'}, {'subject': 'microwave spectroscopy', 'subjectScheme': 'var'}, {'subject': 'infrared spectroscopy', 'subjectScheme': 'var'}, {'subject': 'rotational excitation', 'subjectScheme': 'var'}, {'subject': 'rovibrational excitation', 'subjectScheme': 'var'}, {'subject': 'vibrational excitation', 'subjectScheme': 'var'}, {'subject': 'electronic excitation', 'subjectScheme': 'var'}, {'subject': 'collisional rate coefficients', 'subjectScheme': 'var'}, {'subject': 'fine structure', 'subjectScheme': 'var'}, {'subject': 'hyperfine structure', 'subjectScheme': 'var'}]",,['Radex']
+10.48537/hal-03220329,"Ascolto il tuo cuore, città, Listening to My City at the Time of COVID-19",Reseau International Ambiances,2020,en,Text,Creative Commons Attribution Non Commercial No Derivatives 2.0 Generic,"During the COVID-19 lockdown, I suddenly decided to record the sounds of my apartment and my quarter, a lively community in the center of Turin: shops, outdoor markets, bars and restaurants in the day; cinemas, theaters, pubs in the night; the Valentino park, a big green area in the center of Turin on the Po river and the Porta Nuova train station. The soundwalks and the soundscapes I realized daily through the months of lockdown will continue as an online work in progress that allows for a sound exploration of this environ- ment in this period and context. Many things have visibly changed: but is the change even audible? The same unpredictable changes imposed by the emergency have stimulated me to remodel the project that is proposed here in a renewed participatory approach.",mds,True,findable,0,0,0,0,0,2021-06-17T16:46:58.000Z,2021-06-17T16:46:59.000Z,jbru.aau,jbru,"Soundwalk,Soundscape,COVID-19 Lockdown,Participatory Art Project","[{'lang': 'eng', 'subject': 'Soundwalk'}, {'lang': 'eng', 'subject': 'Soundscape'}, {'lang': 'eng', 'subject': 'COVID-19 Lockdown'}, {'lang': 'eng', 'subject': 'Participatory Art Project'}]",['6 pages'],['application/pdf']
+10.5281/zenodo.4760471,"Figs. 5-7 in Two New Alpine Leuctra In The L. Braueri Species Group (Plecoptera, Leuctridae)",Zenodo,2011,,Image,"Creative Commons Attribution 4.0 International,Open Access","Figs. 5-7. Leuctra juliettae sp. n.: male abdominal tip in dorsal view (5), male genitalia in ventral view (6), female subgenital plate in ventral view (7).",mds,True,findable,0,0,4,0,0,2021-05-14T05:23:11.000Z,2021-05-14T05:23:12.000Z,cern.zenodo,cern,"Biodiversity,Taxonomy,Animalia,Arthropoda,Insecta,Plecoptera,Leuctridae,Leuctra","[{'subject': 'Biodiversity'}, {'subject': 'Taxonomy'}, {'subject': 'Animalia'}, {'subject': 'Arthropoda'}, {'subject': 'Insecta'}, {'subject': 'Plecoptera'}, {'subject': 'Leuctridae'}, {'subject': 'Leuctra'}]",,
+10.5061/dryad.jwstqjqbr,Data from: Above- and belowground drivers of intraspecific trait variability across subcontinental gradients for five ubiquitous forest plants in North America,Dryad,2022,en,Dataset,Creative Commons Zero v1.0 Universal,"Intraspecific trait variability (ITV) provides the material for species adaptation to environmental changes. To advance our understanding of how ITV can contribute to species adaptation to a wide range of environmental conditions, we studied five widespread understory forest species exposed to both continental-scale climate gradients, and local soil and disturbance gradients. We investigated the environmental drivers of between-site leaf and root trait variation, and tested whether higher between-site ITV was associated with increased trait sensitivity to environmental variation (i.e. environmental fit). We measured morphological (specific leaf area: SLA, specific root length: SRL) and chemical traits (Leaf and Root N, P, K, Mg, Ca) of five forest understory vascular plant species at 78 sites across Canada. A total of 261 species-by-site combinations spanning ~4300 km were sampled, capturing important abiotic and biotic environmental gradients (neighbourhood composition, canopy structure, soil conditions, climate). We used multivariate and univariate linear mixed models to identify drivers of ITV and test the association of between-site ITV with environmental fit. Between-site ITV of leaf traits was primarily driven by canopy structure and climate. Comparatively, environmental drivers explained only a small proportion of variability in root traits: these relationships were trait-specific and included soil conditions (Root P), canopy structure (Root N) and neighbourhood composition (SRL, Root K). Between-site ITV was associated with increased environmental fit only for a minority of traits, primarily in response to climate (SLA, Leaf N, SRL). Synthesis. By studying how ITV is structured along environmental gradients among species adapted to a wide range of conditions, we can begin to understand how individual species might respond to environmental change. Our results show that generalizable trait-environment relationships occur primarily aboveground and only accounted for a small proportion of variability. For our group of species with broad ecological niches, variability in traits was only rarely associated with higher environmental fit, and primarily along climatic gradients. These results point to promising research avenues on the various ways in which trait variation can affect species performance along different environmental gradients.",mds,True,findable,125,9,0,1,0,2022-04-18T18:16:17.000Z,2022-04-18T18:16:18.000Z,dryad.dryad,dryad,"environmental matching,Plant nutrient concentration,specific leaf area (SLA),specific root length (SRL),functional ecology,edaphic conditions,canopy structure,biotic interaction,Understory plants,Aralia nudicaulis,Cornus canadensis,Maianthemum canadense,Trientalis borealis,Vaccinium angustifolium,FOS: Biological sciences,FOS: Biological sciences","[{'subject': 'environmental matching'}, {'subject': 'Plant nutrient concentration'}, {'subject': 'specific leaf area (SLA)'}, {'subject': 'specific root length (SRL)'}, {'subject': 'functional ecology'}, {'subject': 'edaphic conditions'}, {'subject': 'canopy structure'}, {'subject': 'biotic interaction'}, {'subject': 'Understory plants'}, {'subject': 'Aralia nudicaulis'}, {'subject': 'Cornus canadensis'}, {'subject': 'Maianthemum canadense'}, {'subject': 'Trientalis borealis'}, {'subject': 'Vaccinium angustifolium'}, {'subject': 'FOS: Biological sciences', 'subjectScheme': 'fos'}, {'subject': 'FOS: Biological sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}]",['784242 bytes'],
+10.17178/emaa_e-(13c)h3oh_rotation_26e2c2d2,Rotation excitation of E-[13C]H3OH by ortho-H2 and para-H2 collisions,"UGA, CNRS, CNRS-INSU, OSUG",2023,en,Dataset,"Please acknowledge the use of EMAA Database by citing the original articles in which the data were published (BibTeX format available), and adding the following sentence in your publication:
+This research has made use of spectroscopic and collisional data from the EMAA database (https://emaa.osug.fr). EMAA is supported by the Observatoire des Sciences de l'Univers de Grenoble (OSUG),Creative Commons Attribution 4.0 International,Data access and use are ruled by the EMAA data policy.",13 rotation energy levels / 52 radiative transitions / 71 collisional transitions for para-H2 (20 temperatures in the range 10-200K) / 78 collisional transitions for ortho-H2 (20 temperatures in the range 10-200K),mds,True,findable,0,0,0,0,0,2023-12-07T15:50:55.000Z,2023-12-07T15:50:55.000Z,inist.osug,jbru,"target E-[13C]H3OH,excitationType Rotation,collisional excitation,collider.0 para-H2,collider.1 ortho-H2,astrophysics,interstellar medium,comets,circumstellar medium,gas,microwave spectroscopy,infrared spectroscopy,rotational excitation,rovibrational excitation,vibrational excitation,electronic excitation,collisional rate coefficients,fine structure,hyperfine structure","[{'subject': 'target E-[13C]H3OH', 'subjectScheme': 'main'}, {'subject': 'excitationType Rotation', 'subjectScheme': 'main'}, {'subject': 'collisional excitation', 'subjectScheme': 'main'}, {'subject': 'collider.0 para-H2', 'subjectScheme': 'var'}, {'subject': 'collider.1 ortho-H2', 'subjectScheme': 'var'}, {'subject': 'astrophysics', 'subjectScheme': 'var'}, {'subject': 'interstellar medium', 'subjectScheme': 'var'}, {'subject': 'comets', 'subjectScheme': 'var'}, {'subject': 'circumstellar medium', 'subjectScheme': 'var'}, {'subject': 'gas', 'subjectScheme': 'var'}, {'subject': 'microwave spectroscopy', 'subjectScheme': 'var'}, {'subject': 'infrared spectroscopy', 'subjectScheme': 'var'}, {'subject': 'rotational excitation', 'subjectScheme': 'var'}, {'subject': 'rovibrational excitation', 'subjectScheme': 'var'}, {'subject': 'vibrational excitation', 'subjectScheme': 'var'}, {'subject': 'electronic excitation', 'subjectScheme': 'var'}, {'subject': 'collisional rate coefficients', 'subjectScheme': 'var'}, {'subject': 'fine structure', 'subjectScheme': 'var'}, {'subject': 'hyperfine structure', 'subjectScheme': 'var'}]",,['Radex']
+10.5281/zenodo.4573897,Nanoscale Dynamics of Peptidoglycan Assembly during the Cell Cycle of Streptococcus pneumoniae,Zenodo,2021,,Dataset,"Creative Commons Attribution 4.0 International,Open Access","Raw phase contrast images to analyze the shape of <em>Streptococcus pneumoniae</em> cells in the presence of aDA-DA. Raw phase contrast and diffraction-limited images to determine the aDA-DA concentration to use for peptidoglycan labeling in <em>S. pneumoniae</em>. Raw phase contrast and diffraction-limited images to determine the effect of D-cycloserine on aDA and aDA-DA incorporation in <em>S. pneumoniae</em>. Raw bright field, diffraction-limited and dSTORM images to determine the duration of the incubation period with aDA-DA for peptidoglycan labeling in <em>S. pneumoniae</em>. Raw western blot images to analyze the depletion level of PBP2b in <em>S. pneumoniae</em>. Raw bright field, diffraction-limited and dSTORM images to analyze peptidoglycan synthesis in <em>S. pneumoniae</em>.",mds,True,findable,0,0,0,0,0,2021-03-09T14:53:30.000Z,2021-03-09T14:53:31.000Z,cern.zenodo,cern,,,,
+10.5281/zenodo.1489533,Brainstorm software 15-Nov-2018,Zenodo,2018,,Software,"Creative Commons Attribution 4.0 International,Open Access","Brainstorm snapshot from 15-Nov-2018, for replicability of a published analysis pipeline",mds,True,findable,0,0,0,0,0,2018-11-16T08:51:59.000Z,2018-11-16T08:52:00.000Z,cern.zenodo,cern,,,,
+10.17178/emaa_hds_rotation_d3b568cc,Rotation excitation of HDS by ortho-H2 and para-H2 collisions,"UGA, CNRS, CNRS-INSU, OSUG",2022,en,Dataset,"Please acknowledge the use of EMAA Database by citing the original articles in which the data were published (BibTeX format available), and adding the following sentence in your publication:
+This research has made use of spectroscopic and collisional data from the EMAA database (https://emaa.osug.fr). EMAA is supported by the Observatoire des Sciences de l'Univers de Grenoble (OSUG),Creative Commons Attribution 4.0 International,Data access and use are ruled by the EMAA data policy.",36 rotation energy levels / 155 radiative transitions / 630 collisional transitions for ortho-H2 (11 temperatures in the range 5-400K) / 630 collisional transitions for para-H2 (11 temperatures in the range 5-400K),mds,True,findable,0,0,0,0,0,2023-12-07T15:51:14.000Z,2023-12-07T15:51:14.000Z,inist.osug,jbru,"target HDS,excitationType Rotation,collisional excitation,collider.0 ortho-H2,collider.1 para-H2,astrophysics,interstellar medium,comets,circumstellar medium,gas,microwave spectroscopy,infrared spectroscopy,rotational excitation,rovibrational excitation,vibrational excitation,electronic excitation,collisional rate coefficients,fine structure,hyperfine structure","[{'subject': 'target HDS', 'subjectScheme': 'main'}, {'subject': 'excitationType Rotation', 'subjectScheme': 'main'}, {'subject': 'collisional excitation', 'subjectScheme': 'main'}, {'subject': 'collider.0 ortho-H2', 'subjectScheme': 'var'}, {'subject': 'collider.1 para-H2', 'subjectScheme': 'var'}, {'subject': 'astrophysics', 'subjectScheme': 'var'}, {'subject': 'interstellar medium', 'subjectScheme': 'var'}, {'subject': 'comets', 'subjectScheme': 'var'}, {'subject': 'circumstellar medium', 'subjectScheme': 'var'}, {'subject': 'gas', 'subjectScheme': 'var'}, {'subject': 'microwave spectroscopy', 'subjectScheme': 'var'}, {'subject': 'infrared spectroscopy', 'subjectScheme': 'var'}, {'subject': 'rotational excitation', 'subjectScheme': 'var'}, {'subject': 'rovibrational excitation', 'subjectScheme': 'var'}, {'subject': 'vibrational excitation', 'subjectScheme': 'var'}, {'subject': 'electronic excitation', 'subjectScheme': 'var'}, {'subject': 'collisional rate coefficients', 'subjectScheme': 'var'}, {'subject': 'fine structure', 'subjectScheme': 'var'}, {'subject': 'hyperfine structure', 'subjectScheme': 'var'}]",,['Radex']
+10.5061/dryad.1qt12,"Data from: Extracellular DNA extraction is a fast, cheap and reliable alternative for multi-taxa surveys based on soil DNA",Dryad,2017,en,Dataset,Creative Commons Zero v1.0 Universal,"DNA metabarcoding on soil samples is increasingly used for large-scale and multi-taxa biodiversity studies. However, DNA extraction may be a major bottleneck for such wide uses. It should be cost/time effective and allow dealing with large sample volumes so as to maximise the representativeness of both micro- and macro-organisms diversity. Here, we compared the performances of a fast and cheap extracellular DNA extraction protocol with a total DNA extraction method in retrieving bacterial, eukaryotic and plant diversity from tropical soil samples of ca. 10 g. The total DNA extraction protocol yielded more high-quality DNA. Yet, the extracellular DNA protocol provided similar diversity assessments although it presented some differences in clades relative abundance and undersampling biases. We argue that extracellular DNA is a good compromise between cost, labor, and accuracy for high-throughput DNA metabarcoding studies of soil biodiversity.",mds,True,findable,342,59,1,1,0,2016-01-20T19:13:51.000Z,2016-01-20T19:13:52.000Z,dryad.dryad,dryad,"multi-taxa,DNA extraction protocol,Soil biodiversity,present,Holocene,Viridiplantae","[{'subject': 'multi-taxa'}, {'subject': 'DNA extraction protocol'}, {'subject': 'Soil biodiversity'}, {'subject': 'present'}, {'subject': 'Holocene'}, {'subject': 'Viridiplantae'}]",['18072078 bytes'],
+10.18709/perscido.2021.11.ds357,The VLSAT-2 (Very Large SAT) Benchmark Suite,PerSCiDo,2021,en,Dataset,,"The VLSAT-2 benchmark suite (where ""VL"" stands for ""Very Large"") is a collection of 100 SAT formulas to be used as benchmarks in scientific experiments and software competitions. These SAT formulas have been obtained from the automatic conversion into Nested-Unit Petri Nets (NUPNs) of a large collection of Petri nets modelling real-life problems, such as communication protocols and concurrent systems. 25% of the VLSAT-2 benchmarks have been selected by the organizers of recent SAT competitions: 7 satisfiable and 7 unsatisfiable formulas have been chosen for the SAT Competition 2020, and 5 satisfiable and 8 unsatisfiable formulas have been chosen for the SAT Competition 2021.",fabrica,True,findable,0,0,0,0,0,2021-11-23T15:49:21.000Z,2021-11-23T15:49:21.000Z,inist.persyval,vcob,Computer science,"[{'lang': 'en', 'subject': 'Computer science'}]",['4 GB'],['SMT-LIB v2.6']
+10.5061/dryad.brv15dvcj,The generality of cryptic dietary niche differences in diverse large-herbivore assemblages,Dryad,2022,en,Dataset,Creative Commons Zero v1.0 Universal,"Ecological niche differences are necessary for stable species coexistence but are often difficult to discern. Models of dietary niche differentiation in large mammalian herbivores invoke the quality, quantity, and spatiotemporal distribution of plant tissues and growth-forms but are agnostic towards food-plant species identity. Empirical support for these models is variable, suggesting that additional mechanisms of resource partitioning may be important in sustaining large-herbivore diversity in African savannas. We used DNA metabarcoding to conduct a taxonomically explicit analysis of large-herbivore diets across southeastern Africa, analyzing ~4,000 fecal samples of 30 species from 10 sites in 7 countries over 6 years. We detected 893 food-plant taxa from 124 families, but just two families—grasses and legumes—accounted for the majority of herbivore diets. Nonetheless, herbivore species almost invariably partitioned food-plant taxa; diet composition differed significantly in 97% of pairwise comparisons between sympatric species, and dissimilarity was pronounced even between the strictest grazers (grass eaters), strictest browsers (non-grass eaters), and closest relatives at each site. Niche differentiation was weakest in an ecosystem recovering from catastrophic defaunation, indicating that food-plant partitioning is driven by species interactions, and stronger at low rainfall, as expected if interspecific competition is a predominant driver. Diets differed more between browsers than grazers, which predictably shaped community organization: grazer-dominated trophic networks had higher nestedness and lower modularity. That dietary differentiation is structured along taxonomic lines complements prior work on how herbivores partition plant parts and patches and suggests that common mechanisms govern herbivore coexistence and community assembly in savannas.",mds,True,findable,249,49,0,1,0,2022-08-08T16:58:42.000Z,2022-08-08T16:58:43.000Z,dryad.dryad,dryad,"FOS: Biological sciences,FOS: Biological sciences,African savannas,large herbivores,food webs,Resource partitioning,dietary niche,niche partitioning,species coextistence,optimal foraging,niche differences,niche differentiation,DNA metabarcoding,DNA barcoding,fecal samples,ecological networks,ecological network analysis,African ungulates,African elephant (Loxodonta africana),dik-dik (Madoqua guentheri),klipspringer (Oreotragus oreotragus),common duiker (Sylvicapra grimmia),oribi (Ourebia ourebi),Thomson's gazelle (Eudorcas thomsonii),Cape bushbuck (Tragelaphus sylvaticus),impala (Aepyceros melampus),Grant's gazelle (Nanger grant),southern reedbuck (Redunca aurundinum),puku (Kobus vardonii),warthog (Phacochoerus africanus),nyala (Tragelaphus angasii),topi (Damaliscus lunatus),bushpig (Potamochoerus larvatus),Hartebeest (Alcelaphus buselaphus),blue wildebeest (Connochaetes taurinus),East African oryx (Oryx beisa),waterbuck (Kobus ellipsiprymnus),greater kudu (Tragelaphus strepsiceros),sable antelope (Hippotragus niger),roan antelope (Hippotragus equinus),plains zebra (Equus quagga),Grevy's zebra (Equus grevyi),common eland (Tragelaphus oryx),Cape buffalo (Syncerus caffer),giraffe (Giraffa camelopardalis),black rhinoceros (Diceros bicornis),hippopotamus (Hippopotamus amphibius),white rhinoceros (Ceratotherium simum),Mpala Research Center,Laikipia,Kenya,Serengeti-Mara Ecosystem,Serengeti National Park,Nyika National Park,Tanzania,Malawi,Niassa National Reserve,Mozambique,Hwange National Park,Zimbabwe,Kafue National Park,Zambia,Gorongosa National Park,Kruger National Park,South Africa,Addo Elephant National Park,Modern coexistence theory,Species interactions,competition,diet selection,grasses (Poaceae),legumes (Fabaceae),grazing mammals,browsing mammals,mixed feeders,environmental DNA sequencing (eDNA sequencing),taxonomic dietary diversity,dietary plasticity,Food-web structure,network rewiring,nestedness and modularity,functional redundancy,functional complementarity,rangelands","[{'subject': 'FOS: Biological sciences', 'subjectScheme': 'fos'}, {'subject': 'FOS: Biological sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'African savannas'}, {'subject': 'large herbivores'}, {'subject': 'food webs'}, {'subject': 'Resource partitioning'}, {'subject': 'dietary niche'}, {'subject': 'niche partitioning'}, {'subject': 'species coextistence'}, {'subject': 'optimal foraging'}, {'subject': 'niche differences'}, {'subject': 'niche differentiation'}, {'subject': 'DNA metabarcoding'}, {'subject': 'DNA barcoding', 'schemeUri': 'https://github.com/PLOS/plos-thesaurus', 'subjectScheme': 'PLOS Subject Area Thesaurus'}, {'subject': 'fecal samples'}, {'subject': 'ecological networks'}, {'subject': 'ecological network analysis'}, {'subject': 'African ungulates'}, {'subject': 'African elephant (Loxodonta africana)'}, {'subject': 'dik-dik (Madoqua guentheri)'}, {'subject': 'klipspringer (Oreotragus oreotragus)'}, {'subject': 'common duiker (Sylvicapra grimmia)'}, {'subject': 'oribi (Ourebia ourebi)'}, {'subject': ""Thomson's gazelle (Eudorcas thomsonii)""}, {'subject': 'Cape bushbuck (Tragelaphus sylvaticus)'}, {'subject': 'impala (Aepyceros melampus)'}, {'subject': ""Grant's gazelle (Nanger grant)""}, {'subject': 'southern reedbuck (Redunca aurundinum)'}, {'subject': 'puku (Kobus vardonii)'}, {'subject': 'warthog (Phacochoerus africanus)'}, {'subject': 'nyala (Tragelaphus angasii)'}, {'subject': 'topi (Damaliscus lunatus)'}, {'subject': 'bushpig (Potamochoerus larvatus)'}, {'subject': 'Hartebeest (Alcelaphus buselaphus)'}, {'subject': 'blue wildebeest (Connochaetes taurinus)'}, {'subject': 'East African oryx (Oryx beisa)'}, {'subject': 'waterbuck (Kobus ellipsiprymnus)'}, {'subject': 'greater kudu (Tragelaphus strepsiceros)'}, {'subject': 'sable antelope (Hippotragus niger)'}, {'subject': 'roan antelope (Hippotragus equinus)'}, {'subject': 'plains zebra (Equus quagga)'}, {'subject': ""Grevy's zebra (Equus grevyi)""}, {'subject': 'common eland (Tragelaphus oryx)'}, {'subject': 'Cape buffalo (Syncerus caffer)'}, {'subject': 'giraffe (Giraffa camelopardalis)'}, {'subject': 'black rhinoceros (Diceros bicornis)'}, {'subject': 'hippopotamus (Hippopotamus amphibius)'}, {'subject': 'white rhinoceros (Ceratotherium simum)'}, {'subject': 'Mpala Research Center'}, {'subject': 'Laikipia'}, {'subject': 'Kenya', 'schemeUri': 'https://github.com/PLOS/plos-thesaurus', 'subjectScheme': 'PLOS Subject Area Thesaurus'}, {'subject': 'Serengeti-Mara Ecosystem'}, {'subject': 'Serengeti National Park'}, {'subject': 'Nyika National Park'}, {'subject': 'Tanzania', 'schemeUri': 'https://github.com/PLOS/plos-thesaurus', 'subjectScheme': 'PLOS Subject Area Thesaurus'}, {'subject': 'Malawi', 'schemeUri': 'https://github.com/PLOS/plos-thesaurus', 'subjectScheme': 'PLOS Subject Area Thesaurus'}, {'subject': 'Niassa National Reserve'}, {'subject': 'Mozambique', 'schemeUri': 'https://github.com/PLOS/plos-thesaurus', 'subjectScheme': 'PLOS Subject Area Thesaurus'}, {'subject': 'Hwange National Park'}, {'subject': 'Zimbabwe', 'schemeUri': 'https://github.com/PLOS/plos-thesaurus', 'subjectScheme': 'PLOS Subject Area Thesaurus'}, {'subject': 'Kafue National Park'}, {'subject': 'Zambia', 'schemeUri': 'https://github.com/PLOS/plos-thesaurus', 'subjectScheme': 'PLOS Subject Area Thesaurus'}, {'subject': 'Gorongosa National Park'}, {'subject': 'Kruger National Park'}, {'subject': 'South Africa', 'schemeUri': 'https://github.com/PLOS/plos-thesaurus', 'subjectScheme': 'PLOS Subject Area Thesaurus'}, {'subject': 'Addo Elephant National Park'}, {'subject': 'Modern coexistence theory'}, {'subject': 'Species interactions', 'schemeUri': 'https://github.com/PLOS/plos-thesaurus', 'subjectScheme': 'PLOS Subject Area Thesaurus'}, {'subject': 'competition'}, {'subject': 'diet selection'}, {'subject': 'grasses (Poaceae)'}, {'subject': 'legumes (Fabaceae)'}, {'subject': 'grazing mammals'}, {'subject': 'browsing mammals'}, {'subject': 'mixed feeders'}, {'subject': 'environmental DNA sequencing (eDNA sequencing)'}, {'subject': 'taxonomic dietary diversity'}, {'subject': 'dietary plasticity'}, {'subject': 'Food-web structure'}, {'subject': 'network rewiring'}, {'subject': 'nestedness and modularity'}, {'subject': 'functional redundancy'}, {'subject': 'functional complementarity'}, {'subject': 'rangelands'}]",['465555599 bytes'],
+10.18709/perscido.2017.10.ds144,DACT: Dataset of Annotated Car Trajectories,PerSciDo,2017,en,Dataset,Creative Commons Attribution 4.0 International,DACT contains two subsets of annotated car trajectories data. The dataset contains 50 trajectories which cover about 13 hours of driving data.,api,True,findable,0,0,1,0,0,2017-11-03T01:35:47.000Z,2017-11-03T01:35:47.000Z,inist.persyval,vcob,"Computer Science,Geography","[{'lang': 'en', 'subject': 'Computer Science'}, {'lang': 'en', 'subject': 'Geography'}]",['10 MB'],
10.17178/amma-catch.cl.gwatwell_n,"Groundwater dataset (water table level), over the Niamey square degree site (16 000 km2), Niger","IRD, CNRS-INSU, OSUG, OMP, OREME",2003,en,Dataset,"Creative Commons Attribution 4.0 International,Data access and use are ruled by the AMMA-CATCH data policy.,For any publication using AMMA-CATCH data, authors are asked to:
Mandatory: cite the reference article and the DOI of the observatory
@@ -3174,20 +2496,31 @@ Mandatory: cite the reference article and the DOI of the observatory
Optional: cite the DOI of each dataset used.
Co-authorship: depending on the contribution of the data to the scientific results obtained, the authors should either propose co-authorship to the data providers or at least acknowledge their contribution.",Knowledge of long-term changes in the aquifer balance in response to land use and climate changes.,mds,True,findable,0,0,1,0,0,2018-03-16T15:37:08.000Z,2018-03-16T15:37:09.000Z,inist.osug,jbru,"Aquifer, recharge, groundwater,Sahelian climate,Water Table","[{'subject': 'Aquifer, recharge, groundwater', 'subjectScheme': 'main'}, {'subject': 'Sahelian climate', 'subjectScheme': 'main'}, {'subject': 'Water Table', 'subjectScheme': 'var'}]",,"['CSV', 'NETCDF', 'O&M 1.0']"
-10.17178/emaa_ortho-h2co_hyperfine_21889b23,Hyperfine excitation of ortho-H2CO by ortho-H2 and para-H2 collisions,"UGA, CNRS, CNRS-INSU, OSUG",2019,en,Dataset,"Please acknowledge the use of EMAA Database by citing the original articles in which the data were published (BibTeX format available), and adding the following sentence in your publication:
-This research has made use of spectroscopic and collisional data from the EMAA database (https://emaa.osug.fr). EMAA is supported by the Observatoire des Sciences de l'Univers de Grenoble (OSUG),Creative Commons Attribution 4.0 International,Data access and use are ruled by the EMAA data policy.",27 hyperfine energy levels / 69 radiative transitions / 324 collisional transitions for para-H2 (10 temperatures in the range 10-100K) / 324 collisional transitions for ortho-H2 (10 temperatures in the range 10-100K),mds,True,findable,0,0,0,0,0,2023-12-07T15:51:45.000Z,2023-12-07T15:51:45.000Z,inist.osug,jbru,"target ortho-H2CO,excitationType Hyperfine,collisional excitation,collider.0 para-H2,collider.1 ortho-H2,astrophysics,interstellar medium,comets,circumstellar medium,gas,microwave spectroscopy,infrared spectroscopy,rotational excitation,rovibrational excitation,vibrational excitation,electronic excitation,collisional rate coefficients,fine structure,hyperfine structure","[{'subject': 'target ortho-H2CO', 'subjectScheme': 'main'}, {'subject': 'excitationType Hyperfine', 'subjectScheme': 'main'}, {'subject': 'collisional excitation', 'subjectScheme': 'main'}, {'subject': 'collider.0 para-H2', 'subjectScheme': 'var'}, {'subject': 'collider.1 ortho-H2', 'subjectScheme': 'var'}, {'subject': 'astrophysics', 'subjectScheme': 'var'}, {'subject': 'interstellar medium', 'subjectScheme': 'var'}, {'subject': 'comets', 'subjectScheme': 'var'}, {'subject': 'circumstellar medium', 'subjectScheme': 'var'}, {'subject': 'gas', 'subjectScheme': 'var'}, {'subject': 'microwave spectroscopy', 'subjectScheme': 'var'}, {'subject': 'infrared spectroscopy', 'subjectScheme': 'var'}, {'subject': 'rotational excitation', 'subjectScheme': 'var'}, {'subject': 'rovibrational excitation', 'subjectScheme': 'var'}, {'subject': 'vibrational excitation', 'subjectScheme': 'var'}, {'subject': 'electronic excitation', 'subjectScheme': 'var'}, {'subject': 'collisional rate coefficients', 'subjectScheme': 'var'}, {'subject': 'fine structure', 'subjectScheme': 'var'}, {'subject': 'hyperfine structure', 'subjectScheme': 'var'}]",,['Radex']
-10.17178/emaa_(13c)o_rotation_30dfe01d,"Rotation excitation of [13C]O by ortho-H2O, para-H2 and para-H2O collisions","UGA, CNRS, CNRS-INSU, OSUG",2021,en,Dataset,"Please acknowledge the use of EMAA Database by citing the original articles in which the data were published (BibTeX format available), and adding the following sentence in your publication:
-This research has made use of spectroscopic and collisional data from the EMAA database (https://emaa.osug.fr). EMAA is supported by the Observatoire des Sciences de l'Univers de Grenoble (OSUG),Creative Commons Attribution 4.0 International,Data access and use are ruled by the EMAA data policy.",14 rotation energy levels / 13 radiative transitions / 55 collisional transitions for para-H2O (20 temperatures in the range 5-100K) / 55 collisional transitions for ortho-H2O (20 temperatures in the range 5-100K) / 10 collisional transitions for para-H2 (9 temperatures in the range 2-40K),mds,True,findable,0,0,4,0,0,2022-02-07T11:23:59.000Z,2022-02-07T11:24:00.000Z,inist.osug,jbru,"target [13C]O,excitationType Rotation,collisional excitation,collider.0 para-H2O,collider.1 ortho-H2O,collider.2 para-H2,astrophysics,interstellar medium,comets,circumstellar medium,gas,microwave spectroscopy,infrared spectroscopy,rotational excitation,rovibrational excitation,vibrational excitation,electronic excitation,collisional rate coefficients,fine structure,hyperfine structure","[{'subject': 'target [13C]O', 'subjectScheme': 'main'}, {'subject': 'excitationType Rotation', 'subjectScheme': 'main'}, {'subject': 'collisional excitation', 'subjectScheme': 'main'}, {'subject': 'collider.0 para-H2O', 'subjectScheme': 'var'}, {'subject': 'collider.1 ortho-H2O', 'subjectScheme': 'var'}, {'subject': 'collider.2 para-H2', 'subjectScheme': 'var'}, {'subject': 'astrophysics', 'subjectScheme': 'var'}, {'subject': 'interstellar medium', 'subjectScheme': 'var'}, {'subject': 'comets', 'subjectScheme': 'var'}, {'subject': 'circumstellar medium', 'subjectScheme': 'var'}, {'subject': 'gas', 'subjectScheme': 'var'}, {'subject': 'microwave spectroscopy', 'subjectScheme': 'var'}, {'subject': 'infrared spectroscopy', 'subjectScheme': 'var'}, {'subject': 'rotational excitation', 'subjectScheme': 'var'}, {'subject': 'rovibrational excitation', 'subjectScheme': 'var'}, {'subject': 'vibrational excitation', 'subjectScheme': 'var'}, {'subject': 'electronic excitation', 'subjectScheme': 'var'}, {'subject': 'collisional rate coefficients', 'subjectScheme': 'var'}, {'subject': 'fine structure', 'subjectScheme': 'var'}, {'subject': 'hyperfine structure', 'subjectScheme': 'var'}]",,['Radex']
-10.17178/emaa_ortho-h2(18o)_rotation_1ee1c3c9,Rotation excitation of ortho-H2[18O] by H and electron collisions,"UGA, CNRS, CNRS-INSU, OSUG",2022,en,Dataset,"Please acknowledge the use of EMAA Database by citing the original articles in which the data were published (BibTeX format available), and adding the following sentence in your publication:
-This research has made use of spectroscopic and collisional data from the EMAA database (https://emaa.osug.fr). EMAA is supported by the Observatoire des Sciences de l'Univers de Grenoble (OSUG),Creative Commons Attribution 4.0 International,Data access and use are ruled by the EMAA data policy.",27 rotation energy levels / 70 radiative transitions / 351 collisional transitions for H (14 temperatures in the range 5-1500K) / 91 collisional transitions for electron (9 temperatures in the range 10-500K),mds,True,findable,0,0,0,0,0,2022-02-07T11:25:31.000Z,2022-02-07T11:25:32.000Z,inist.osug,jbru,"target ortho-H2[18O],excitationType Rotation,collisional excitation,collider.0 H,collider.1 electron,astrophysics,interstellar medium,comets,circumstellar medium,gas,microwave spectroscopy,infrared spectroscopy,rotational excitation,rovibrational excitation,vibrational excitation,electronic excitation,collisional rate coefficients,fine structure,hyperfine structure","[{'subject': 'target ortho-H2[18O]', 'subjectScheme': 'main'}, {'subject': 'excitationType Rotation', 'subjectScheme': 'main'}, {'subject': 'collisional excitation', 'subjectScheme': 'main'}, {'subject': 'collider.0 H', 'subjectScheme': 'var'}, {'subject': 'collider.1 electron', 'subjectScheme': 'var'}, {'subject': 'astrophysics', 'subjectScheme': 'var'}, {'subject': 'interstellar medium', 'subjectScheme': 'var'}, {'subject': 'comets', 'subjectScheme': 'var'}, {'subject': 'circumstellar medium', 'subjectScheme': 'var'}, {'subject': 'gas', 'subjectScheme': 'var'}, {'subject': 'microwave spectroscopy', 'subjectScheme': 'var'}, {'subject': 'infrared spectroscopy', 'subjectScheme': 'var'}, {'subject': 'rotational excitation', 'subjectScheme': 'var'}, {'subject': 'rovibrational excitation', 'subjectScheme': 'var'}, {'subject': 'vibrational excitation', 'subjectScheme': 'var'}, {'subject': 'electronic excitation', 'subjectScheme': 'var'}, {'subject': 'collisional rate coefficients', 'subjectScheme': 'var'}, {'subject': 'fine structure', 'subjectScheme': 'var'}, {'subject': 'hyperfine structure', 'subjectScheme': 'var'}]",,['Radex']
-10.17178/emaa_para-nh3_hyperfine_1be97812,Hyperfine excitation of para-NH3 by para-H2 collisions,"UGA, CNRS, CNRS-INSU, OSUG",2023,en,Dataset,"Please acknowledge the use of EMAA Database by citing the original articles in which the data were published (BibTeX format available), and adding the following sentence in your publication:
-This research has made use of spectroscopic and collisional data from the EMAA database (https://emaa.osug.fr). EMAA is supported by the Observatoire des Sciences de l'Univers de Grenoble (OSUG),Creative Commons Attribution 4.0 International,Data access and use are ruled by the EMAA data policy.",48 hyperfine energy levels / 115 radiative transitions / 1127 collisional transitions for para-H2 (11 temperatures in the range 5-100K),mds,True,findable,0,0,0,0,0,2023-12-07T15:52:22.000Z,2023-12-07T15:52:23.000Z,inist.osug,jbru,"target para-NH3,excitationType Hyperfine,collisional excitation,collider.0 para-H2,astrophysics,interstellar medium,comets,circumstellar medium,gas,microwave spectroscopy,infrared spectroscopy,rotational excitation,rovibrational excitation,vibrational excitation,electronic excitation,collisional rate coefficients,fine structure,hyperfine structure","[{'subject': 'target para-NH3', 'subjectScheme': 'main'}, {'subject': 'excitationType Hyperfine', 'subjectScheme': 'main'}, {'subject': 'collisional excitation', 'subjectScheme': 'main'}, {'subject': 'collider.0 para-H2', 'subjectScheme': 'var'}, {'subject': 'astrophysics', 'subjectScheme': 'var'}, {'subject': 'interstellar medium', 'subjectScheme': 'var'}, {'subject': 'comets', 'subjectScheme': 'var'}, {'subject': 'circumstellar medium', 'subjectScheme': 'var'}, {'subject': 'gas', 'subjectScheme': 'var'}, {'subject': 'microwave spectroscopy', 'subjectScheme': 'var'}, {'subject': 'infrared spectroscopy', 'subjectScheme': 'var'}, {'subject': 'rotational excitation', 'subjectScheme': 'var'}, {'subject': 'rovibrational excitation', 'subjectScheme': 'var'}, {'subject': 'vibrational excitation', 'subjectScheme': 'var'}, {'subject': 'electronic excitation', 'subjectScheme': 'var'}, {'subject': 'collisional rate coefficients', 'subjectScheme': 'var'}, {'subject': 'fine structure', 'subjectScheme': 'var'}, {'subject': 'hyperfine structure', 'subjectScheme': 'var'}]",,['Radex']
-10.17178/emaa_ortho-h2co_rotation_b10653cc,Rotation excitation of ortho-H2CO by ortho-H2 and para-H2 collisions,"UGA, CNRS, CNRS-INSU, OSUG",2021,en,Dataset,"Please acknowledge the use of EMAA Database by citing the original articles in which the data were published (BibTeX format available), and adding the following sentence in your publication:
-This research has made use of spectroscopic and collisional data from the EMAA database (https://emaa.osug.fr). EMAA is supported by the Observatoire des Sciences de l'Univers de Grenoble (OSUG),Creative Commons Attribution 4.0 International,Data access and use are ruled by the EMAA data policy.",40 rotation energy levels / 104 radiative transitions / 780 collisional transitions for ortho-H2 (21 temperatures in the range 10-300K) / 780 collisional transitions for para-H2 (21 temperatures in the range 10-300K),mds,True,findable,0,0,0,0,0,2021-11-17T14:01:34.000Z,2021-11-17T14:01:35.000Z,inist.osug,jbru,"target ortho-H2CO,excitationType Rotation,collisional excitation,collider.0 ortho-H2,collider.1 para-H2,astrophysics,interstellar medium,comets,circumstellar medium,gas,microwave spectroscopy,infrared spectroscopy,rotational excitation,rovibrational excitation,vibrational excitation,electronic excitation,collisional rate coefficients,fine structure,hyperfine structure","[{'subject': 'target ortho-H2CO', 'subjectScheme': 'main'}, {'subject': 'excitationType Rotation', 'subjectScheme': 'main'}, {'subject': 'collisional excitation', 'subjectScheme': 'main'}, {'subject': 'collider.0 ortho-H2', 'subjectScheme': 'var'}, {'subject': 'collider.1 para-H2', 'subjectScheme': 'var'}, {'subject': 'astrophysics', 'subjectScheme': 'var'}, {'subject': 'interstellar medium', 'subjectScheme': 'var'}, {'subject': 'comets', 'subjectScheme': 'var'}, {'subject': 'circumstellar medium', 'subjectScheme': 'var'}, {'subject': 'gas', 'subjectScheme': 'var'}, {'subject': 'microwave spectroscopy', 'subjectScheme': 'var'}, {'subject': 'infrared spectroscopy', 'subjectScheme': 'var'}, {'subject': 'rotational excitation', 'subjectScheme': 'var'}, {'subject': 'rovibrational excitation', 'subjectScheme': 'var'}, {'subject': 'vibrational excitation', 'subjectScheme': 'var'}, {'subject': 'electronic excitation', 'subjectScheme': 'var'}, {'subject': 'collisional rate coefficients', 'subjectScheme': 'var'}, {'subject': 'fine structure', 'subjectScheme': 'var'}, {'subject': 'hyperfine structure', 'subjectScheme': 'var'}]",,['Radex']
+10.48537/hal-03220328,The Kite Choir,Reseau International Ambiances,2020,en,Text,Creative Commons Attribution Non Commercial No Derivatives 2.0 Generic,"This paper reports on the develop- ment of an ongoing artistic project, the Kite Choir, as an æsthetic practice of attunement with the atmosphere. The Kite Choir is a practice that builds on traditions of singing kites. In these traditions, the sound-making device is carried aloft by the kite, giving voice to an assemblage brought to life by the wind. The Kite Choir instead extends the site of instrumentation along the entire kite line and reel, to promote a collaborative chain of agency between atmosphere and performer/ pilot. The paper describes the unique sound instruments and score created for this project and their relation to time and place of perfor- mance, and concludes with a set of speculative questions on how this practice might develop in the future.",mds,True,findable,0,0,0,0,0,2021-06-17T16:48:36.000Z,2021-06-17T16:48:37.000Z,jbru.aau,jbru,"Sound,Attunement,Atmosphere,Kites","[{'lang': 'eng', 'subject': 'Sound'}, {'lang': 'eng', 'subject': 'Attunement'}, {'lang': 'eng', 'subject': 'Atmosphere'}, {'lang': 'eng', 'subject': 'Kites'}]",['6 pages'],['application/pdf']
+10.17178/amma-catch.ce.raind_nc,"Precipitation dataset (daily rainfall), for the 2005-2010 period, high-density network over 100 km2, Niger","IRD, CNRS-INSU, OSUG, OMP, OREME",2005,en,Dataset,"Creative Commons Attribution 4.0 International,Data access and use are ruled by the AMMA-CATCH data policy.,For any publication using AMMA-CATCH data, authors are asked to:
+
+Mandatory: cite the reference article and the DOI of the observatory
+
+ (1) Galle et al. (2018). AMMA-CATCH a Critical Zone Observatory in West Africa Monitoring a Region in Transition. Vadose Zone Journal, 17 (1), 18006.
+ (2) AMMA-CATCH (1990). AMMA-CATCH : a hydrological, meteorological and ecological observatory on West Africa. IRD, CNRS-INSU, OSUG, OMP, OREME. doi:10.17178/AMMA-CATCH.all
+
+Optional: cite the DOI of each dataset used.
+
+Co-authorship: depending on the contribution of the data to the scientific results obtained, the authors should either propose co-authorship to the data providers or at least acknowledge their contribution.","Documentation of Sahelian rainfall at the local scale in order to analyse links between rainfall and the current vegetation, how does vegetation influence the location of rain fields ?",mds,True,findable,0,0,1,0,0,2018-03-16T15:36:57.000Z,2018-03-16T15:36:58.000Z,inist.osug,jbru,"Daily rainfall, precipitation, tropical convection,Sahelian climate,Precipitation Amount","[{'subject': 'Daily rainfall, precipitation, tropical convection', 'subjectScheme': 'main'}, {'subject': 'Sahelian climate', 'subjectScheme': 'main'}, {'subject': 'Precipitation Amount', 'subjectScheme': 'var'}]",,"['CSV', 'NETCDF', 'O&M 1.0']"
+10.5281/zenodo.3876188,Raw diffraction data for [NiFeSe] hydrogenase G491A variant pressurized with O2 gas - dataset G491A-O2-HD,Zenodo,2020,,Dataset,"Creative Commons Attribution 4.0 International,Embargoed Access","Diffraction data measured at ESRF beamline ID30B on April 8, 2018. Image files are uploaded in blocks of gzip-compressed cbf files.",mds,True,findable,0,0,0,0,0,2020-06-04T10:15:53.000Z,2020-06-04T10:15:54.000Z,cern.zenodo,cern,"Hydrogenase,Selenium,gas channels,high-pressure derivatization","[{'subject': 'Hydrogenase'}, {'subject': 'Selenium'}, {'subject': 'gas channels'}, {'subject': 'high-pressure derivatization'}]",,
10.17178/ohmcv.ero.pra.10-13.1,"Runoff and erosion plots, Pradel",CNRS - OSUG - OREME,2009,en,Dataset,"Data access and use are ruled by the OHMCV data policy.,The following acknowledging sentence should appear in publications using OHMCV data and products: ""OHMCV is funded by the Institut National des Sciences de l’Univers (INSU/CNRS) and the Observatoire des Sciences de l’Univers de Grenoble (OSUG / Université Grenoble Alpes)â€.","Runoff was collected in the bottom part of the hillslope. The water depth was measured every minute with a 1 mm resolution using a limnimeter (OTT Thalimede) within a H-flume designed following the US Soil Conservation Service recommendations. The stage-discharge rating curve was built experimentally and allowed to calculate discharge with a median relative uncertainty of 10%. A sequential sampler containing 24 bottles of 1 l capacity sampled water and eroded particles within the H-flume. When critical thresholds of water depth or water depth variation were exceeded, the data logger triggered the sampling of water and eroded particles. Thus, the time intervals between each two samples were irregular, depending on the shape of the hydrograph. The suspended sediment concentrations were estimated by weighting the water samples after drying them during 24 h at 105 °C with a median relative uncertainty of 15%.",mds,True,findable,0,0,1,0,0,2017-03-10T17:09:25.000Z,2017-03-10T17:09:26.000Z,inist.osug,jbru,"Discharge/Flow,Stage Height,Suspended Solids,SEDIMENT METERS,WATER LEVEL GAUGES,Fixed Observation Stations","[{'subject': 'Discharge/Flow', 'subjectScheme': 'main'}, {'subject': 'Stage Height', 'subjectScheme': 'main'}, {'subject': 'Suspended Solids', 'subjectScheme': 'main'}, {'subject': 'SEDIMENT METERS', 'subjectScheme': 'main'}, {'subject': 'WATER LEVEL GAUGES', 'subjectScheme': 'main'}, {'subject': 'Fixed Observation Stations', 'subjectScheme': 'main'}]",,"['CSV', 'ESRI Grid', 'NETCDF']"
+10.17178/emaa_ortho-(15n)h2d_rotation_018a251d,Rotation excitation of ortho-[15N]H2D by ortho-H2 and para-H2 collisions,"UGA, CNRS, CNRS-INSU, OSUG",2021,en,Dataset,"Please acknowledge the use of EMAA Database by citing the original articles in which the data were published (BibTeX format available), and adding the following sentence in your publication:
+This research has made use of spectroscopic and collisional data from the EMAA database (https://emaa.osug.fr). EMAA is supported by the Observatoire des Sciences de l'Univers de Grenoble (OSUG),Creative Commons Attribution 4.0 International,Data access and use are ruled by the EMAA data policy.",56 rotation energy levels / 282 radiative transitions / 1540 collisional transitions for para-H2 (13 temperatures in the range 5-300K) / 1540 collisional transitions for ortho-H2 (13 temperatures in the range 5-300K),mds,True,findable,0,0,0,0,0,2021-11-18T13:35:32.000Z,2021-11-18T13:35:33.000Z,inist.osug,jbru,"target ortho-[15N]H2D,excitationType Rotation,collisional excitation,collider.0 para-H2,collider.1 ortho-H2,astrophysics,interstellar medium,comets,circumstellar medium,gas,microwave spectroscopy,infrared spectroscopy,rotational excitation,rovibrational excitation,vibrational excitation,electronic excitation,collisional rate coefficients,fine structure,hyperfine structure","[{'subject': 'target ortho-[15N]H2D', 'subjectScheme': 'main'}, {'subject': 'excitationType Rotation', 'subjectScheme': 'main'}, {'subject': 'collisional excitation', 'subjectScheme': 'main'}, {'subject': 'collider.0 para-H2', 'subjectScheme': 'var'}, {'subject': 'collider.1 ortho-H2', 'subjectScheme': 'var'}, {'subject': 'astrophysics', 'subjectScheme': 'var'}, {'subject': 'interstellar medium', 'subjectScheme': 'var'}, {'subject': 'comets', 'subjectScheme': 'var'}, {'subject': 'circumstellar medium', 'subjectScheme': 'var'}, {'subject': 'gas', 'subjectScheme': 'var'}, {'subject': 'microwave spectroscopy', 'subjectScheme': 'var'}, {'subject': 'infrared spectroscopy', 'subjectScheme': 'var'}, {'subject': 'rotational excitation', 'subjectScheme': 'var'}, {'subject': 'rovibrational excitation', 'subjectScheme': 'var'}, {'subject': 'vibrational excitation', 'subjectScheme': 'var'}, {'subject': 'electronic excitation', 'subjectScheme': 'var'}, {'subject': 'collisional rate coefficients', 'subjectScheme': 'var'}, {'subject': 'fine structure', 'subjectScheme': 'var'}, {'subject': 'hyperfine structure', 'subjectScheme': 'var'}]",,['Radex']
+10.18709/perscido.2018.11.ds155,UV and visible fluorescence images of maize stem: macroscopy and confocal microscopy,PerSciDo,2018,en,Dataset,,Fluorescence Macroscopy is a full field imaging system at low magnification. The interest is to rapidly observe large fields of view (~5x5 mm²). Fluorescence filters are used that select excitation and emission ranges of wavelengths. The spectral resolution is low. Confocal microscopy equipped with a spectral detector and several excitation lasers allows to acquire hyperspectral images. The spectral resolution is around 6-10 nm. The field of view is small and is about 500 x500 µm² with a good spatial resolution. The fusion or the multiset analysis of the two kinds of images should provide a link between the two scales of observation and therefore a strategy to develop multiscale acquisition.,api,True,findable,0,0,0,1,0,2018-11-30T10:02:27.000Z,2018-11-30T10:02:27.000Z,inist.persyval,vcob,"Biology,Biochemistry","[{'lang': 'en', 'subject': 'Biology'}, {'lang': 'en', 'subject': 'Biochemistry'}]",['400 MB'],"['png', 'docx']"
10.17178/zaa_soil_temp.all,Long term monitoring of near surface soil temperature in the french Alps,UGA – OSUG – ZAA,2021,en,Dataset,"Creative Commons Attribution 4.0 International,For any publication using ZAA data, depending on the contribution of the data to the scientific results obtained, data users should either propose co-authorship to the data providers (doi Project leaders) or at least acknowledge their contribution.
The acknowledging sentence which should appear in publications using ZAA temp-soil data and products is in the readme file joint with the dataset","Monitoring of near-surface soil temperature in seasonaly snow-covered, mountain ecosystems located in the French Alps. Data are part of several research projects and monitoring programs examining the impact of climate change on snow cover dynamics, microclimate, species distribution and ecosystem functioning. Data include a GPS position, a date and time in UTC and a near-surface soil temperature (in °C) measured at 5 cm belowground using stand-alone temperature data logger.",mds,True,findable,0,0,0,0,0,2021-07-13T13:43:29.000Z,2021-07-13T13:43:31.000Z,inist.osug,jbru,"microclimate,mountain climate,long-term monitoring,soil,root zone,cold zone ecosystem,soil temperature","[{'subject': 'microclimate', 'subjectScheme': 'main'}, {'subject': 'mountain climate', 'subjectScheme': 'main'}, {'subject': 'long-term monitoring', 'subjectScheme': 'main'}, {'subject': 'soil', 'subjectScheme': 'main'}, {'subject': 'root zone', 'subjectScheme': 'main'}, {'subject': 'cold zone ecosystem', 'subjectScheme': 'main'}, {'subject': 'soil temperature', 'subjectScheme': 'var'}]",,['CSV']
-10.17178/amma-catch.cl.rain_cotonou,"Precipitation dataset (5 minutes rainfall), at Cotonou, Benin","IRD, CNRS-INSU, OSUG, OMP, OREME",2008,en,Dataset,"Creative Commons Attribution 4.0 International,Data access and use are ruled by the AMMA-CATCH data policy.,For any publication using AMMA-CATCH data, authors are asked to:
+10.5281/zenodo.8139775,High-end projections of Southern Ocean warming and Antarctic ice shelf melting in conditions typical of the end of the 23rd century,Zenodo,2023,,Dataset,"Creative Commons Attribution 4.0 International,Open Access","<strong>High-end projections of Southern Ocean warming and Antarctic ice shelf melting in conditions typical of the end of the 23rd century</strong> To evaluate the response of the Southern Ocean and Antarctic ice shelf cavities to an abrupt change to high-end atmospheric<br> conditions typical of the late 23rd century under the SSP5-8.5 scenario, in Mathiot and Jourdain (2023, submitted soon), we conducted 2 experiments. Our reference experiment (called REF) is driven by present day atmospheric condition. In the 23rd century simulation (called PERT), the present day atmospheric forcing is perturbed by the anomaly (2260-2299 minus 1975-2014) extracted from monthly outputs of the IPSL-CM6A-LR projections under the SSP5-8.5 emission scenario. REF is run over the latest 40 years and PERT is run for 100y starting from PERT at year 1999. This data set contains: The atmospheric forcing anomalies used to perturbed our reference atmospheric forcing in the PERT simulation; 30y monthly climatologies of multiple variables (ocean temperature, salinity, ssh, velocities, barotropic stream function, sea ice concentration, thickness, velocities and snow thickness) for PERT and REF. All the details on each dataset have been added in separated README in ATMO_ANOMALIES and OCEAN_CLIMATOLOGIES directory. As stated in each README, all the detailed on the simulations and atmospheric perturbation are available in Mathiot and Jourdain (2023, submitted soon).",mds,True,findable,0,0,0,0,0,2023-07-12T16:48:55.000Z,2023-07-12T16:48:56.000Z,cern.zenodo,cern,,,,
+10.5281/zenodo.7056781,Companion data of Exploiting system level heterogeneity to improve the performance of a GeoStatistics multi-phase task-based application,Zenodo,2021,en,Dataset,"Creative Commons Attribution 4.0 International,Open Access","This is the companion data repository for the paper entitled <strong>Exploiting system level heterogeneity to improve the performance of a GeoStatistics multi-phase task-based application</strong> by Lucas Leandro Nesi, Lucas Mello Schnorr, and Arnaud Legrand. The manuscript has been accepted for publication in the ICPP 2021.",mds,True,findable,0,0,0,0,0,2022-09-07T11:24:38.000Z,2022-09-07T11:24:39.000Z,cern.zenodo,cern,,,,
+10.17178/draixbleone_gal_ain_precip_1920,Precipitation data at the Ainac station of the Galabre watershed,IGE - CNRS - OSUG,2020,en,Dataset,"Creative Commons Attribution 4.0 International,The following acknowledging sentence should appear in publications using data and products from the Galabre watershed of the Draix Bleone Observatory: ""DRAIX BLEONE is funded by the Institut National des Sciences de l’Univers (INSU/CNRS) and the Observatoire des Sciences de l’Univers de Grenoble (OSUG / Université Grenoble Alpes)â€.,Always quote below citation to Legout et al. (submitted) when using these data. Legout C., Freche G., Biron R., Esteves M., Nord G, Navratil O., Uber M., Grangeon T., Hachgenei N., Boudevillain B. Voiron C., Spadini L. A critical zone observatory dedicated to suspended sediment transport: the meso-scale Galabre catchment (southern French Alps), submitted to Hydrological Processes.",This precipitation data set is part of the DRAIXBLEONE_GAL observatory.,mds,True,findable,0,0,0,0,0,2020-09-15T15:58:34.000Z,2020-09-15T15:58:35.000Z,inist.osug,jbru,"Mediterranean mountainous climate,Precipitation","[{'subject': 'Mediterranean mountainous climate', 'subjectScheme': 'main'}, {'subject': 'Precipitation', 'subjectScheme': 'var'}]",,['CSV']
+10.48537/hal-03220299,"Architecture and its Double, The Expanded Medium of Architecture and Spatial Aeffect",Reseau International Ambiances,2020,en,Text,Creative Commons Attribution Non Commercial No Derivatives 2.0 Generic,"The digital has expanded the medium of architecture, bringing with it a focus on architectural surfaces. This paper presents a theoretical discussion centered on spatial æffect or how architecture operates as an atmospheric machine. The argument is that architecture’s double, atmospheric and meaningful archi- tecture, architecture that affords mental transport across time and space, emerges when instead of focusing on the backdrop to the action or on surfaces, architects consider dimensionality and play with the experiential assemblage of the many material and immaterial elements that constitute space. Engaging in the production of architecture’s double is not only necessary for creativity and spatial diversity, but also for enchantment, which can drive attachment to places and help create and sustain a sense of belonging.",mds,True,findable,0,0,0,0,0,2021-06-17T16:47:48.000Z,2021-06-17T16:47:49.000Z,jbru.aau,jbru,"Spatial Aeffect,expanded medium,Double,Surface,kissing architecture","[{'lang': 'eng', 'subject': 'Spatial Aeffect'}, {'lang': 'eng', 'subject': 'expanded medium'}, {'lang': 'eng', 'subject': 'Double'}, {'lang': 'eng', 'subject': 'Surface'}, {'lang': 'eng', 'subject': 'kissing architecture'}]",['6 pages'],['application/pdf']
+10.18709/perscido.2021.09.ds353,PAirMax-Airbus,PerSCiDo,2021,en,Dataset,,"This archive contains 5 panchromatic and multispectral bundles (at both both full and reduced resolution). These images are part of the PAirMax dataset (*). This dataset is provided as a password protected folder as data can be accessed only after accepting the Airbus license. Description: The images were derived from original acquisitions by the Pléiades and Spot7 satellites and are provided courtesy of Airbus. The original images full scenes can be accessed at: https://sandbox.intelligence-airbusds.com -> Pansharpening dataset. The 5 images in this archive are listed below. Please refer to [1] for more details on the images and the preprocessing done. - Pl_Hous_Urb - Pl_Sacr_Mix - Pl_Stoc_Urb - S7_Napl_Urb - S7_NewY_Mix Instruction for retrieving the password: - Go to https://sandbox.intelligence-airbusds.com - Fill the form for requesting the Pansharpening dataset (need to accept the Airbus license) - The password will be provided in the confirmation email. ---------------------------------------------------------------------------- (*) The PAirMax dataset is a collection of data with the aim of assessing the performance of pansharpening algorithms. The data collection includes 5 test cases selected at full resolution (FR), acquired by two sensors belonging to the Airbus' constellation of high-resolution imaging satellites. Moreover, 5 related test cases at reduced resolution (RR), simulated according to the Wald’s protocol, are included, thus resulting in 10 challenging test cases for pansharpening performance assessment. For further details, please, refer to the paper: [1] G. Vivone, M. Dalla Mura, A. Garzelli, and F. Pacifici, \""A Benchmarking Protocol for Pansharpening: Dataset, Pre-processing, and Quality Assessment,\"" IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021.",fabrica,True,findable,0,0,0,0,0,2021-09-21T14:31:17.000Z,2021-09-21T14:31:17.000Z,inist.persyval,vcob,"Environmental science and ecology,Information technology","[{'lang': 'en', 'subject': 'Environmental science and ecology'}, {'lang': 'en', 'subject': 'Information technology'}]",['500 MB'],
+10.5281/zenodo.7457613,"Video related to the study ""Spatial variability of Saharan dust deposition revealed through a citizen science campaign""",Zenodo,2022,,Audiovisual,"Creative Commons Attribution 4.0 International,Open Access","This video is related to the manuscript ""Spatial variability of Saharan dust deposition revealed through a citizen science campaign"", by Dumont et al., submitted in December 2022 to the journal ""Earth System Science Data"". It illustrates the timeline of dust deposition, simulated by the atmospheric transport model MOCAGE.",mds,True,findable,0,0,0,0,0,2022-12-19T12:34:01.000Z,2022-12-19T12:34:01.000Z,cern.zenodo,cern,,,,
+10.17178/amma-catch.ce.run_odc,"Surface water dataset (river discharge), of the Nalohou watershed (16 ha), Benin","IRD, CNRS-INSU, OSUG, OMP, OREME",2012,en,Dataset,"Creative Commons Attribution 4.0 International,Data access and use are ruled by the AMMA-CATCH data policy.,For any publication using AMMA-CATCH data, authors are asked to:
Mandatory: cite the reference article and the DOI of the observatory
@@ -3196,13 +2529,15 @@ Mandatory: cite the reference article and the DOI of the observatory
Optional: cite the DOI of each dataset used.
-Co-authorship: depending on the contribution of the data to the scientific results obtained, the authors should either propose co-authorship to the data providers or at least acknowledge their contribution.","Documentation of rainfall climatology based on a tipping bucket rain gage in the reference point of the DMN station, in the town of Cotonou, in Benin.",mds,True,findable,0,0,1,0,0,2018-03-16T15:37:11.000Z,2018-03-16T15:37:12.000Z,inist.osug,jbru,"Rainfall, precipitation, tropical convection,Sudanian climate,Precipitation Amount (previous 24 hours),Precipitation Amount (previous 5 minutes),Precipitation Amount (previous hour)","[{'subject': 'Rainfall, precipitation, tropical convection', 'subjectScheme': 'main'}, {'subject': 'Sudanian climate', 'subjectScheme': 'main'}, {'subject': 'Precipitation Amount (previous 24 hours)', 'subjectScheme': 'var'}, {'subject': 'Precipitation Amount (previous 5 minutes)', 'subjectScheme': 'var'}, {'subject': 'Precipitation Amount (previous hour)', 'subjectScheme': 'var'}]",,"['CSV', 'NETCDF', 'O&M 1.0']"
-10.17178/draixbleone_gal_rob_ion_1719,Major ion concentration of the river Galabre at the Robine station of the Galabre watershed,IGE - CNRS - OSUG,2020,en,Dataset,"Creative Commons Attribution 4.0 International,The following acknowledging sentence should appear in publications using data and products from the Galabre watershed of the Draix Bleone Observatory: ""DRAIX BLEONE is funded by the Institut National des Sciences de l’Univers (INSU/CNRS) and the Observatoire des Sciences de l’Univers de Grenoble (OSUG / Université Grenoble Alpes)â€.,Always quote below citation to Legout et al. (submitted) when using these data. Legout C., Freche G., Biron R., Esteves M., Nord G, Navratil O., Uber M., Grangeon T., Hachgenei N., Boudevillain B. Voiron C., Spadini L. A critical zone observatory dedicated to suspended sediment transport: the meso-scale Galabre catchment (southern French Alps), submitted to Hydrological Processes.",This major ion concentration data set is part of the DRAIXBLEONE_GAL observatory.,mds,True,findable,0,0,0,0,0,2020-09-15T15:58:43.000Z,2020-09-15T15:58:44.000Z,inist.osug,jbru,"Mediterranean mountainous climate,Surface water,Hydrology,Water quality / Water chemistry","[{'subject': 'Mediterranean mountainous climate', 'subjectScheme': 'main'}, {'subject': 'Surface water', 'subjectScheme': 'var'}, {'subject': 'Hydrology', 'subjectScheme': 'var'}, {'subject': 'Water quality / Water chemistry', 'subjectScheme': 'var'}]",,['CSV']
-10.17178/zaa_soil_temp.odyssee,Long term monitoring of near surface soil temperature in the European mountains,UGA – OSUG – CNRS,2021,en,Dataset,"Creative Commons Attribution 4.0 International,For any publication using ZAA data, depending on the contribution of the data to the scientific results obtained, data users should either propose co-authorship to the data providers (doi Project leaders) or at least acknowledge their contribution.
-The acknowledging sentence which should appear in publications using ZAA temp-soil data and products is in the readme file joint with the dataset","Monitoring of near-surface soil temperature in European mountain meadows. Data are collected as part of the ANR project ODYSSEE (Projet-ANR-13-ISV7-0004). Data include a GPS position, a date and time in UTC and a near-surface soil temperature (in °C) measured at 5 cm belowground using stand-alone temperature data logger.",mds,True,findable,0,0,0,0,0,2021-07-13T13:43:41.000Z,2021-07-13T13:43:42.000Z,inist.osug,jbru,"microclimate,mountain climate,long-term monitoring,soil,root zone,cold zone ecosystem,soil temperature","[{'subject': 'microclimate', 'subjectScheme': 'main'}, {'subject': 'mountain climate', 'subjectScheme': 'main'}, {'subject': 'long-term monitoring', 'subjectScheme': 'main'}, {'subject': 'soil', 'subjectScheme': 'main'}, {'subject': 'root zone', 'subjectScheme': 'main'}, {'subject': 'cold zone ecosystem', 'subjectScheme': 'main'}, {'subject': 'soil temperature', 'subjectScheme': 'var'}]",,['CSV']
-10.17178/gnss.products.deeptrigger.chile,Metadata and daily observation files in RINEX format for DEEP-trigger GNSS stations installed in Chile,"CNRS, OSUG, ISTERRE",2026,en,Dataset,"License: CC BY-NC-ND 4.0,Data access and use are ruled by the OSUG data policy.,The following acknowledging sentence should appear in publications using ISTerre GNSS products: ""GNSS products are calculated and provided by the Institut of Sciences de la Terre (ISTerre), belonging to the Institut National des Sciences de l’Univers (INSU/CNRS) and the Observatoire des Sciences de l’Univers de Grenoble (OSUG / Université Grenoble Alpes)"".
-You are invited to contact the PI(s) or lead scientist for more information about the data and to include the acknowledgement sentence in any publication using the data.","This dataset includes station metadata in GipsyX staDB format, as well as daily observation RINEX files for the 9 GNSS stations installed in Chile in the frame of the DEEP-trigger project.",mds,True,findable,0,0,0,0,0,2023-04-08T13:17:00.000Z,2023-04-08T13:17:02.000Z,inist.osug,jbru,"GNSS products,GNSS data analysis,Time serie positioning","[{'subject': 'GNSS products', 'subjectScheme': 'main'}, {'subject': 'GNSS data analysis', 'subjectScheme': 'var'}, {'subject': 'Time serie positioning', 'subjectScheme': 'var'}]",,"['pos', 'PBO']"
-10.17178/amma-catch.al.met_od,"Meteorological dataset (including radiative budget), within the Donga watershed (600 km2), Benin","IRD, CNRS-INSU, OSUG, OMP, OREME",2002,en,Dataset,"Creative Commons Attribution 4.0 International,Data access and use are ruled by the AMMA-CATCH data policy.,For any publication using AMMA-CATCH data, authors are asked to:
+Co-authorship: depending on the contribution of the data to the scientific results obtained, the authors should either propose co-authorship to the data providers or at least acknowledge their contribution.","Documentation of discharge at a 1st order catchment with a bas-fond at hillslope scale on association with others measurements (ground water levels in bas-fond, gravimeter on the top of the hillslope, flux tower)) contributing to close the surface water budget. Data will be used to validate hydrological modelling. The electrical conductivity of water is an integrative measure that allows documentation of the origin of waters (rainfall, surface and sub-surface runoff, watertable drainage).",mds,True,findable,0,0,1,0,0,2018-03-16T15:37:02.000Z,2018-03-16T15:37:02.000Z,inist.osug,jbru,"Discharge,Sudanian climate,Discharge/Flow (5 minutes)","[{'subject': 'Discharge', 'subjectScheme': 'main'}, {'subject': 'Sudanian climate', 'subjectScheme': 'main'}, {'subject': 'Discharge/Flow (5 minutes)', 'subjectScheme': 'var'}]",,"['CSV', 'NETCDF', 'O&M 1.0']"
+10.18709/perscido.2022.01.ds364,The VLSAT-3 (Very Large SAT) Benchmark Suite,PerSCiDo,2022,en,Dataset,,"The VLSAT-3 benchmark suite (where ""VL"" stands for ""Very Large"") is a collection of 1200 SMT formulas to be used as benchmarks in scientific experiments and software competitions. These SMT formulas have been obtained from the automatic conversion into Nested-Unit Petri Nets (NUPNs) of a large collection of Petri nets modelling real-life problems, such as communication protocols and concurrent systems. More than 90% of these benchmarks have been used during the 16th International Satisfiability Modulo Theories Competition (SMT-COMP 2021).",fabrica,True,findable,0,0,0,0,0,2022-01-04T13:18:32.000Z,2022-01-04T13:18:33.000Z,inist.persyval,vcob,Computer science,"[{'lang': 'en', 'subject': 'Computer science'}]",['10 mo'],['SMT-LIB v2.6']
+10.17178/emaa_dco-plus_rotation_0e47c7b0,Rotation excitation of DCO+ by electron and para-H2 collisions,"UGA, CNRS, CNRS-INSU, OSUG",2021,en,Dataset,"Please acknowledge the use of EMAA Database by citing the original articles in which the data were published (BibTeX format available), and adding the following sentence in your publication:
+This research has made use of spectroscopic and collisional data from the EMAA database (https://emaa.osug.fr). EMAA is supported by the Observatoire des Sciences de l'Univers de Grenoble (OSUG),Creative Commons Attribution 4.0 International,Data access and use are ruled by the EMAA data policy.",22 rotation energy levels / 21 radiative transitions / 231 collisional transitions for para-H2 (9 temperatures in the range 10-200K) / 132 collisional transitions for electron (12 temperatures in the range 10-1000K),mds,True,findable,0,0,0,0,0,2021-11-18T13:34:46.000Z,2021-11-18T13:34:47.000Z,inist.osug,jbru,"target DCO+,excitationType Rotation,collisional excitation,collider.0 para-H2,collider.1 electron,astrophysics,interstellar medium,comets,circumstellar medium,gas,microwave spectroscopy,infrared spectroscopy,rotational excitation,rovibrational excitation,vibrational excitation,electronic excitation,collisional rate coefficients,fine structure,hyperfine structure","[{'subject': 'target DCO+', 'subjectScheme': 'main'}, {'subject': 'excitationType Rotation', 'subjectScheme': 'main'}, {'subject': 'collisional excitation', 'subjectScheme': 'main'}, {'subject': 'collider.0 para-H2', 'subjectScheme': 'var'}, {'subject': 'collider.1 electron', 'subjectScheme': 'var'}, {'subject': 'astrophysics', 'subjectScheme': 'var'}, {'subject': 'interstellar medium', 'subjectScheme': 'var'}, {'subject': 'comets', 'subjectScheme': 'var'}, {'subject': 'circumstellar medium', 'subjectScheme': 'var'}, {'subject': 'gas', 'subjectScheme': 'var'}, {'subject': 'microwave spectroscopy', 'subjectScheme': 'var'}, {'subject': 'infrared spectroscopy', 'subjectScheme': 'var'}, {'subject': 'rotational excitation', 'subjectScheme': 'var'}, {'subject': 'rovibrational excitation', 'subjectScheme': 'var'}, {'subject': 'vibrational excitation', 'subjectScheme': 'var'}, {'subject': 'electronic excitation', 'subjectScheme': 'var'}, {'subject': 'collisional rate coefficients', 'subjectScheme': 'var'}, {'subject': 'fine structure', 'subjectScheme': 'var'}, {'subject': 'hyperfine structure', 'subjectScheme': 'var'}]",,['Radex']
+10.48537/hal-03220293,"Physical Body Awareness and Virtual Embodiment, A Hybrid Experience of Otherness",Reseau International Ambiances,2020,en,Text,Creative Commons Attribution Non Commercial No Derivatives 2.0 Generic,"Body awareness and embodiment are core terms and research topics being used to comment on the new interdisciplinary aspects of virtual immersive experiences. In this article, we present the methodology adopted in the Disembody research project with the aim to explore body-space relation- ship through the lenses of interdisciplinary considerations drawn from architecture and cognitive science. Employing an empirical, case study approach inside virtual reality (VR), we came up with observations about how virtual embodiment can be experienced as an instance of otherness embodiment that generates a sensation of alloæsthesia. This post-human condition can be bi-directionally fed into re-establishing the body-space rela- tionship towards expanded architectural and cognitive perspectives.",mds,True,findable,0,0,0,0,0,2021-06-17T09:44:04.000Z,2021-06-17T09:44:05.000Z,jbru.aau,jbru,"Body awareness,Virtual Embodiment,Space Perception,Expendable Bodies","[{'lang': 'eng', 'subject': 'Body awareness'}, {'lang': 'eng', 'subject': 'Virtual Embodiment'}, {'lang': 'eng', 'subject': 'Space Perception'}, {'lang': 'eng', 'subject': 'Expendable Bodies'}]",['6 pages'],['application/pdf']
+10.34847/nkl.bafagy29,"Figure 8 : Extrait vidéo ""Prendre la pose pour la caméra""",NAKALA - https://nakala.fr (Huma-Num - CNRS),2023,,Audiovisual,,"Figure 8 : Extrait vidéo ""Prendre la pose pour la caméra""
+
+Dans le chapitre : Participer au quotidien d’enfants d’âge préscolaire. Saisir l’expérience sensible de la ville par un dispositif d’immersion filmique",api,True,findable,0,0,0,0,0,2023-10-13T12:52:25.000Z,2023-10-13T12:52:26.000Z,inist.humanum,jbru,"enfant,méthode","[{'subject': 'enfant'}, {'subject': 'méthode'}]",['38408502 Bytes'],['video/quicktime']
+10.17178/amma-catch.ce.wchem_od,"Water chemistry dataset (geochemical composition of water), within the Donga watershed (600 km2), Benin","IRD, CNRS-INSU, OSUG, OMP, OREME",2002,en,Dataset,"Creative Commons Attribution 4.0 International,Data access and use are ruled by the AMMA-CATCH data policy.,For any publication using AMMA-CATCH data, authors are asked to:
Mandatory: cite the reference article and the DOI of the observatory
@@ -3211,17 +2546,14 @@ Mandatory: cite the reference article and the DOI of the observatory
Optional: cite the DOI of each dataset used.
-Co-authorship: depending on the contribution of the data to the scientific results obtained, the authors should either propose co-authorship to the data providers or at least acknowledge their contribution.",Document atmospheric forcing and reference evapotranspiration (Eto) estimation.,mds,True,findable,0,0,1,0,0,2018-03-16T15:36:55.000Z,2018-03-16T15:36:56.000Z,inist.osug,jbru,"Meteorology,Sudanian climate,Wind Speed,Relative Humidity,Standard Deviation of Wind Direction,Net Radiation,Wind Direction,Air Temperature,Incoming Shortwave Radiation,Outgoing Shortwave Radiation,Air Pressure","[{'subject': 'Meteorology', 'subjectScheme': 'main'}, {'subject': 'Sudanian climate', 'subjectScheme': 'main'}, {'subject': 'Wind Speed', 'subjectScheme': 'var'}, {'subject': 'Relative Humidity', 'subjectScheme': 'var'}, {'subject': 'Standard Deviation of Wind Direction', 'subjectScheme': 'var'}, {'subject': 'Net Radiation', 'subjectScheme': 'var'}, {'subject': 'Wind Direction', 'subjectScheme': 'var'}, {'subject': 'Air Temperature', 'subjectScheme': 'var'}, {'subject': 'Incoming Shortwave Radiation', 'subjectScheme': 'var'}, {'subject': 'Outgoing Shortwave Radiation', 'subjectScheme': 'var'}, {'subject': 'Air Pressure', 'subjectScheme': 'var'}]",,"['CSV', 'NETCDF', 'O&M 1.0']"
-10.17178/ohmcv.dsd.ale.12-16.1,"DSD network, Ales (Ecole des Mines)",CNRS - OSUG - OREME,2004,en,Dataset,"Data access and use are ruled by the OHMCV data policy.,The following acknowledging sentence should appear in publications using OHMCV data and products: ""OHMCV is funded by the Institut National des Sciences de l’Univers (INSU/CNRS) and the Observatoire des Sciences de l’Univers de Grenoble (OSUG / Université Grenoble Alpes)â€.",This dataset is part of the Cevennesâ€Vivarais Mediterranean Hydrometeorological Observatory (OHMCV),mds,True,findable,0,0,1,0,0,2017-10-17T13:24:14.000Z,2017-10-17T13:24:15.000Z,inist.osug,jbru,"Atmospheric conditions,Precipitation Rate,Droplet Size,DISDROMETERS,Ground networks,Hydrometeorological sites,Fixed Observation Stations","[{'subject': 'Atmospheric conditions', 'subjectScheme': 'main'}, {'subject': 'Precipitation Rate', 'subjectScheme': 'main'}, {'subject': 'Droplet Size', 'subjectScheme': 'main'}, {'subject': 'DISDROMETERS', 'subjectScheme': 'main'}, {'subject': 'Ground networks', 'subjectScheme': 'main'}, {'subject': 'Hydrometeorological sites', 'subjectScheme': 'main'}, {'subject': 'Fixed Observation Stations', 'subjectScheme': 'main'}]",,['NETCDF']
-10.17178/emaa_e-ch3oh_rotation_b00fa82a,"Rotation excitation of E-CH3OH by electron, ortho-H2 and para-H2 collisions","UGA, CNRS, CNRS-INSU, OSUG",2023,en,Dataset,"Please acknowledge the use of EMAA Database by citing the original articles in which the data were published (BibTeX format available), and adding the following sentence in your publication:
-This research has made use of spectroscopic and collisional data from the EMAA database (https://emaa.osug.fr). EMAA is supported by the Observatoire des Sciences de l'Univers de Grenoble (OSUG),Creative Commons Attribution 4.0 International,Data access and use are ruled by the EMAA data policy.",134 rotation energy levels / 1228 radiative transitions / 8845 collisional transitions for para-H2 (20 temperatures in the range 10-200K) / 3828 collisional transitions for ortho-H2 (20 temperatures in the range 10-200K) / 1228 collisional transitions for electron (20 temperatures in the range 10-200K),mds,True,findable,0,0,0,0,0,2023-12-07T15:50:57.000Z,2023-12-07T15:50:58.000Z,inist.osug,jbru,"target E-CH3OH,excitationType Rotation,collisional excitation,collider.0 para-H2,collider.1 ortho-H2,collider.2 electron,astrophysics,interstellar medium,comets,circumstellar medium,gas,microwave spectroscopy,infrared spectroscopy,rotational excitation,rovibrational excitation,vibrational excitation,electronic excitation,collisional rate coefficients,fine structure,hyperfine structure","[{'subject': 'target E-CH3OH', 'subjectScheme': 'main'}, {'subject': 'excitationType Rotation', 'subjectScheme': 'main'}, {'subject': 'collisional excitation', 'subjectScheme': 'main'}, {'subject': 'collider.0 para-H2', 'subjectScheme': 'var'}, {'subject': 'collider.1 ortho-H2', 'subjectScheme': 'var'}, {'subject': 'collider.2 electron', 'subjectScheme': 'var'}, {'subject': 'astrophysics', 'subjectScheme': 'var'}, {'subject': 'interstellar medium', 'subjectScheme': 'var'}, {'subject': 'comets', 'subjectScheme': 'var'}, {'subject': 'circumstellar medium', 'subjectScheme': 'var'}, {'subject': 'gas', 'subjectScheme': 'var'}, {'subject': 'microwave spectroscopy', 'subjectScheme': 'var'}, {'subject': 'infrared spectroscopy', 'subjectScheme': 'var'}, {'subject': 'rotational excitation', 'subjectScheme': 'var'}, {'subject': 'rovibrational excitation', 'subjectScheme': 'var'}, {'subject': 'vibrational excitation', 'subjectScheme': 'var'}, {'subject': 'electronic excitation', 'subjectScheme': 'var'}, {'subject': 'collisional rate coefficients', 'subjectScheme': 'var'}, {'subject': 'fine structure', 'subjectScheme': 'var'}, {'subject': 'hyperfine structure', 'subjectScheme': 'var'}]",,['Radex']
-10.17178/ohmcv.adv.cla.13-14.1,"Acoustic Doppler Velocimeter IQ Plus, Claduègne",CNRS - OSUG - OREME,2013,en,Dataset,"Data access and use are ruled by the OHMCV data policy.,The following acknowledging sentence should appear in publications using OHMCV data and products: ""OHMCV is funded by the Institut National des Sciences de l’Univers (INSU/CNRS) and the Observatoire des Sciences de l’Univers de Grenoble (OSUG / Université Grenoble Alpes)â€.",This dataset is part of the Cevennesâ€Vivarais Mediterranean Hydrometeorological Observatory (OHMCV),mds,True,findable,0,0,1,0,0,2017-03-10T17:09:18.000Z,2017-03-10T17:09:19.000Z,inist.osug,jbru,"Surface Water,ADCP > Acoustic Doppler Current Profiler,Fixed Observation Stations","[{'subject': 'Surface Water', 'subjectScheme': 'main'}, {'subject': 'ADCP > Acoustic Doppler Current Profiler', 'subjectScheme': 'main'}, {'subject': 'Fixed Observation Stations', 'subjectScheme': 'main'}]",,"['CSV', 'ESRI Grid', 'NETCDF']"
-10.17178/cryobsclim.cdp.2018,Cryobs-Clim-CDP / Col de Porte : a meterological and snow observatory,CNRS - OSUG - Meteo France,2018,en,Dataset,"Data access and use are ruled by the CRYOBS-CLIM data policy.,Always quote below citation to Lejeune et al. (2019) when using data.
- Lejeune, Y., Dumont, M., Panel J.-M., Lafaysse, M., Lapalus, P., Le Gac, E., Lesaffre, B. and Morin, S., 57 years (1960-2017) of snow and meteorological observations from a mid-altitude mountain site (Col de Porte, France, 1325 m alt.), Earth System Science Data, 11(2019), 71-88, https://doi.org/10.5194/essd-11-71-2019. The following acknowledging sentence should appear in publications using Cryobs-Clim-CDP data and products: ""Cryobs-Clim Col de Porte is funded by Meteo France, the Institut National des Sciences de l’Univers (INSU/CNRS), and the Observatoire des Sciences de l’Univers de Grenoble (OSUG / Université Grenoble Alpes)â€. You are invited to contact the PI(s) or lead scientist for more information about the data and to include the acknowledgement sentence in any publication using the data.","The Col de Porte observatory is located near Grenoble in Chartreuse massif and is dedicated to study interactions between the cryosphere and the atmosphere at medium altitude. The site is managed by Météo-France (CNRM/CEN).The experimental site and related instrumentation are described in details in Morin et al., 2012 and Lejeune et al. (2018). Hourly meteorological data from in situ measurements (CRYOBSCLIM.CDP.2018.MetInsitu) and from meteorological reanalysis (CRYOBSCLIM.CDP.2018.MetSafran) are provided along with measured snow properties (CRYOBSCLIM.CDP.2018.HourlySnow) and snow profiles (CRYOBSCLIM.CDP.2018.SnowProfile) and measured solar radiation masks (CRYOBSCLIM.CDP.2018.SolarMask) and soil properties (CRYOBSCLIM.CDP.2018.Soil). The daily snow and meteorological dataset covers the 1960-2017 period (CRYOBSCLIM.CDP.2018.MetSnowDaily).
-Snowpack models and atmospheric models have been evaluated at this site. Finally, Col de Porte is a target site to evaluate Numerical Weather Prediction (NWP) models in alpine terrain.
-Cryobs-Clim-CDP is a Cryonet site of Global Cryosphere Watch (WMO), a member of the International Network for Alpine Research Catchment Hydrology (INARCH) and a part of OZCAR Infrastructure.",mds,True,findable,0,0,1,0,0,2018-07-19T07:26:33.000Z,2018-07-19T07:27:38.000Z,inist.osug,jbru,"Alpine climate,Meteorology,Snowpack","[{'subject': 'Alpine climate', 'subjectScheme': 'main'}, {'subject': 'Meteorology', 'subjectScheme': 'var'}, {'subject': 'Snowpack', 'subjectScheme': 'var'}]",,"['netCDF', 'caaml', 'CSV']"
-10.17178/emaa_hd(34s)_rotation_8a51ba80,Rotation excitation of HD[34S] by ortho-H2 and para-H2 collisions,"UGA, CNRS, CNRS-INSU, OSUG",2022,en,Dataset,"Please acknowledge the use of EMAA Database by citing the original articles in which the data were published (BibTeX format available), and adding the following sentence in your publication:
-This research has made use of spectroscopic and collisional data from the EMAA database (https://emaa.osug.fr). EMAA is supported by the Observatoire des Sciences de l'Univers de Grenoble (OSUG),Creative Commons Attribution 4.0 International,Data access and use are ruled by the EMAA data policy.",36 rotation energy levels / 151 radiative transitions / 630 collisional transitions for ortho-H2 (11 temperatures in the range 5-400K) / 630 collisional transitions for para-H2 (11 temperatures in the range 5-400K),mds,True,findable,0,0,0,0,0,2023-12-07T15:51:11.000Z,2023-12-07T15:51:12.000Z,inist.osug,jbru,"target HD[34S],excitationType Rotation,collisional excitation,collider.0 ortho-H2,collider.1 para-H2,astrophysics,interstellar medium,comets,circumstellar medium,gas,microwave spectroscopy,infrared spectroscopy,rotational excitation,rovibrational excitation,vibrational excitation,electronic excitation,collisional rate coefficients,fine structure,hyperfine structure","[{'subject': 'target HD[34S]', 'subjectScheme': 'main'}, {'subject': 'excitationType Rotation', 'subjectScheme': 'main'}, {'subject': 'collisional excitation', 'subjectScheme': 'main'}, {'subject': 'collider.0 ortho-H2', 'subjectScheme': 'var'}, {'subject': 'collider.1 para-H2', 'subjectScheme': 'var'}, {'subject': 'astrophysics', 'subjectScheme': 'var'}, {'subject': 'interstellar medium', 'subjectScheme': 'var'}, {'subject': 'comets', 'subjectScheme': 'var'}, {'subject': 'circumstellar medium', 'subjectScheme': 'var'}, {'subject': 'gas', 'subjectScheme': 'var'}, {'subject': 'microwave spectroscopy', 'subjectScheme': 'var'}, {'subject': 'infrared spectroscopy', 'subjectScheme': 'var'}, {'subject': 'rotational excitation', 'subjectScheme': 'var'}, {'subject': 'rovibrational excitation', 'subjectScheme': 'var'}, {'subject': 'vibrational excitation', 'subjectScheme': 'var'}, {'subject': 'electronic excitation', 'subjectScheme': 'var'}, {'subject': 'collisional rate coefficients', 'subjectScheme': 'var'}, {'subject': 'fine structure', 'subjectScheme': 'var'}, {'subject': 'hyperfine structure', 'subjectScheme': 'var'}]",,['Radex']
+Co-authorship: depending on the contribution of the data to the scientific results obtained, the authors should either propose co-authorship to the data providers or at least acknowledge their contribution.","Identification of the chemical signature of the different compartments (surface runoff, sub-surface, deep water-tables) contributing to river flow. Hydrograph decomposition by mixing models based on chemical signatures of each compartment involved in stream flow production.",mds,True,findable,0,0,2,1,0,2018-03-16T15:37:08.000Z,2018-03-16T15:37:08.000Z,inist.osug,jbru,"Water chemical composition,Sudanian climate,pH,Nickel,Calcium Ion,Silicon,Vanadium,Boron,Magnesium Ion,Water Temperature,Lead,Arsenic,delta Oxygen-18,Conductivity,Uranium,Aluminium,Chloride Ion,Nitrate Ion,Cobalt,Zinc,delta Deuterium,Potassium Ion,Copper,Rubidium,Lithium,Sulfate Ion,Hydrogen Carbonate Ion,Strontium,Oxygen,Caesium,Barium,Chromium,Molybdenum,Manganese,Sodium Ion","[{'subject': 'Water chemical composition', 'subjectScheme': 'main'}, {'subject': 'Sudanian climate', 'subjectScheme': 'main'}, {'subject': 'pH', 'subjectScheme': 'var'}, {'subject': 'Nickel', 'subjectScheme': 'var'}, {'subject': 'Calcium Ion', 'subjectScheme': 'var'}, {'subject': 'Silicon', 'subjectScheme': 'var'}, {'subject': 'Vanadium', 'subjectScheme': 'var'}, {'subject': 'Boron', 'subjectScheme': 'var'}, {'subject': 'Magnesium Ion', 'subjectScheme': 'var'}, {'subject': 'Water Temperature', 'subjectScheme': 'var'}, {'subject': 'Lead', 'subjectScheme': 'var'}, {'subject': 'Arsenic', 'subjectScheme': 'var'}, {'subject': 'delta Oxygen-18', 'subjectScheme': 'var'}, {'subject': 'Conductivity', 'subjectScheme': 'var'}, {'subject': 'Uranium', 'subjectScheme': 'var'}, {'subject': 'Aluminium', 'subjectScheme': 'var'}, {'subject': 'Chloride Ion', 'subjectScheme': 'var'}, {'subject': 'Nitrate Ion', 'subjectScheme': 'var'}, {'subject': 'Cobalt', 'subjectScheme': 'var'}, {'subject': 'Zinc', 'subjectScheme': 'var'}, {'subject': 'delta Deuterium', 'subjectScheme': 'var'}, {'subject': 'Potassium Ion', 'subjectScheme': 'var'}, {'subject': 'Copper', 'subjectScheme': 'var'}, {'subject': 'Rubidium', 'subjectScheme': 'var'}, {'subject': 'Lithium', 'subjectScheme': 'var'}, {'subject': 'Sulfate Ion', 'subjectScheme': 'var'}, {'subject': 'Hydrogen Carbonate Ion', 'subjectScheme': 'var'}, {'subject': 'Strontium', 'subjectScheme': 'var'}, {'subject': 'Oxygen', 'subjectScheme': 'var'}, {'subject': 'Caesium', 'subjectScheme': 'var'}, {'subject': 'Barium', 'subjectScheme': 'var'}, {'subject': 'Chromium', 'subjectScheme': 'var'}, {'subject': 'Molybdenum', 'subjectScheme': 'var'}, {'subject': 'Manganese', 'subjectScheme': 'var'}, {'subject': 'Sodium Ion', 'subjectScheme': 'var'}]",,"['CSV', 'NETCDF', 'O&M 1.0']"
+10.17178/emaa_hc(15n)_rotation_0d5ef109,"Rotation excitation of HC[15N] by He, electron, ortho-H2 and para-H2 collisions","UGA, CNRS, CNRS-INSU, OSUG",2021,en,Dataset,"Please acknowledge the use of EMAA Database by citing the original articles in which the data were published (BibTeX format available), and adding the following sentence in your publication:
+This research has made use of spectroscopic and collisional data from the EMAA database (https://emaa.osug.fr). EMAA is supported by the Observatoire des Sciences de l'Univers de Grenoble (OSUG),Creative Commons Attribution 4.0 International,Data access and use are ruled by the EMAA data policy.",22 rotation energy levels / 21 radiative transitions / 36 collisional transitions for electron (12 temperatures in the range 10-1000K) / 231 collisional transitions for ortho-H2 (12 temperatures in the range 5-500K) / 231 collisional transitions for para-H2 (12 temperatures in the range 5-500K) / 231 collisional transitions for He (25 temperatures in the range 5-500K),mds,True,findable,0,0,0,0,0,2021-11-18T13:34:56.000Z,2021-11-18T13:34:57.000Z,inist.osug,jbru,"target HC[15N],excitationType Rotation,collisional excitation,collider.0 electron,collider.1 ortho-H2,collider.2 para-H2,collider.3 He,astrophysics,interstellar medium,comets,circumstellar medium,gas,microwave spectroscopy,infrared spectroscopy,rotational excitation,rovibrational excitation,vibrational excitation,electronic excitation,collisional rate coefficients,fine structure,hyperfine structure","[{'subject': 'target HC[15N]', 'subjectScheme': 'main'}, {'subject': 'excitationType Rotation', 'subjectScheme': 'main'}, {'subject': 'collisional excitation', 'subjectScheme': 'main'}, {'subject': 'collider.0 electron', 'subjectScheme': 'var'}, {'subject': 'collider.1 ortho-H2', 'subjectScheme': 'var'}, {'subject': 'collider.2 para-H2', 'subjectScheme': 'var'}, {'subject': 'collider.3 He', 'subjectScheme': 'var'}, {'subject': 'astrophysics', 'subjectScheme': 'var'}, {'subject': 'interstellar medium', 'subjectScheme': 'var'}, {'subject': 'comets', 'subjectScheme': 'var'}, {'subject': 'circumstellar medium', 'subjectScheme': 'var'}, {'subject': 'gas', 'subjectScheme': 'var'}, {'subject': 'microwave spectroscopy', 'subjectScheme': 'var'}, {'subject': 'infrared spectroscopy', 'subjectScheme': 'var'}, {'subject': 'rotational excitation', 'subjectScheme': 'var'}, {'subject': 'rovibrational excitation', 'subjectScheme': 'var'}, {'subject': 'vibrational excitation', 'subjectScheme': 'var'}, {'subject': 'electronic excitation', 'subjectScheme': 'var'}, {'subject': 'collisional rate coefficients', 'subjectScheme': 'var'}, {'subject': 'fine structure', 'subjectScheme': 'var'}, {'subject': 'hyperfine structure', 'subjectScheme': 'var'}]",,['Radex']
+10.5281/zenodo.7969515,"Dataset related to the study ""Spatial variability of Saharan dust deposition revealed through a citizen science campaign""",Zenodo,2022,,Dataset,"Creative Commons Attribution 4.0 International,Open Access","This dataset contains the data and the measurements related to the manuscript ""Spatial variability of Saharan dust deposition revealed through a citizen science campaign"", by Dumont et al., submitted in December 2022 to the journal ""Earth System Science Data"".",mds,True,findable,0,0,0,0,0,2023-05-25T08:28:52.000Z,2023-05-25T08:28:53.000Z,cern.zenodo,cern,,,,
+10.5281/zenodo.3817437,"Search Queries for ""Mapping Research Output to the Sustainable Development Goals (SDGs)"" v3.0",Zenodo,2019,,Software,"Creative Commons Attribution 4.0 International,Open Access","<strong>This package contains machine readable (xml) search queries, for the Scopus publication database, to find domain specific research output that are related to the 17 Sustainable Development Goals (SDGs).</strong> Sustainable Development Goals are the 17 global challenges set by the United Nations. Within each of the goals specific targets and indicators are mentioned to monitor the progress of reaching those goals by 2030. In an effort to capture how research is contributing to move the needle on those challenges, we earlier have made an initial classification model than enables to quickly identify what research output is related to what SDG. (This Aurora SDG dashboard is the initial outcome as <em>proof of practice</em>.) The initiative started from the Aurora Universities Network in 2017, in the working group ""Societal Impact and Relevance of Research"", to investigate and to make visible 1. what research is done that are relevant to topics or challenges that live in society (for the proof of practice this has been scoped down to the SDGs), and 2. what the effect or impact is of implementing those research outcomes to those societal challenges (this also have been scoped down to research output being cited in policy documents from national and local governments an NGO's). The classification model we have used are 17 different search queries on the Scopus database. The search queries are elegant constructions with keyword combinations and boolean operators, in the syntax specific to the Scopus Query Language. We have used Scopus because it covers more research area's that are relevant to the SDG's, and we could filter much easier the Aurora Institutions. <strong>Versions</strong> Different versions of the search queries have been made over the past years to improve the precision (soundness) and recall (completeness) of the results. The queries have been made in a team effort by several bibliometric experts from the Aurora Universities. Each one did two or 3 SDG's, and than reviewed each other's work. v1.0 January 2018<em> Initial 'strict' version.</em> In this version only the terms were used that appear in the SDG policy text of the targets and indicators defined by the UN. At this point we have been aware of the SDSN Compiled list of keywords, and used them as inspiration. Rule of thumb was to use <em>keyword-combination searches</em> as much as possible rather than <em>single-keyword searches</em>, to be more precise rather than to yield large amounts of false positive papers. Also we did not use the inverse or 'NOT' operator, to prevent removing true positives from the result set. This version has not been reviewed by peers. Download from: GitHub / Zenodo v2.0 March 2018<em> Reviewed 'strict' version.</em> Same as version 1, but now reviewed by peers. Download from: GitHub / Zenodo v3.0 May 2019 <em>'echo chamber' version.</em> We noticed that using strictly the terms that policy makers of the UN use in the targets and indicators, that much of the research that did not use that specific terms was left out in the result set. (eg. ""mortality"" vs ""deaths"") To increase the recall, without reducing precision of the papers in the results, we added keywords that were obvious synonyms and antonyms to the existing 'strict' keywords. This was done based on the keywords that appeared in papers in the result set of version 2. This creates an 'echo chamber', that results in more of the same papers. Download from: GitHub / Zenodo v4.0 August 2019<em> uniform 'split' version.</em> Over the course of the years, the UN changed and added Targets and indicators. In order to keep track of if we missed a target, we have split the queries to match the targets within the goals. This gives much more control in maintenance of the queries. Also in this version the use of brackets, quotation marks, etc. has been made uniform, so it also works with API's, and not only with GUI's. His version has been used to evaluate using a survey, to get baseline measurements for the precision and recall. Published here: Survey data of ""Mapping Research output to the SDGs"" by Aurora Universities Network (AUR) doi:10.5281/zenodo.3798385. Download from: GitHub / Zenodo v5.0 June 2020 <em>'improved' version.</em> In order to better reflect academic representation of research output that relate to the SDG's, we have added more keyword combinations to the queries to increase the recall, to yield more research papers related to the SDG's, using academic terminology. We mainly used the input from the Survey data of ""Mapping Research output to the SDGs"" by Aurora Universities Network (AUR) doi:10.5281/zenodo.3798385. We ran several text analyses: Frequent term combination in title and abstracts from Suggested papers, and in selected (accepted) papers, suggested journals, etc. Secondly we got inspiration out of the Elsevier SDG queries Jayabalasingham, Bamini; Boverhof, Roy; Agnew, Kevin; Klein, Lisette (2019), “Identifying research supporting the United Nations Sustainable Development Goalsâ€, Mendeley Data, v1 https://dx.doi.org/10.17632/87txkw7khs.1. Download from: GitHub / Zenodo <strong>Contribute and improve the SDG Search Queries</strong> We welcome you to join the Github community and to fork, improve and make a pull request to add your improvements to the new version of the SDG queries. <strong>https://github.com/Aurora-Network-Global/sdg-queries</strong>",mds,True,findable,3,0,2,0,0,2020-05-15T13:26:26.000Z,2020-05-15T13:26:27.000Z,cern.zenodo,cern,"Sustainable Development Goals,SDG,Classification model,Search Queries,SCOPUS","[{'subject': 'Sustainable Development Goals'}, {'subject': 'SDG'}, {'subject': 'Classification model'}, {'subject': 'Search Queries'}, {'subject': 'SCOPUS'}]",,
+10.5281/zenodo.4048589,Sources of particulate matter air pollution and its oxidative potential in Europes,Zenodo,2020,,Dataset,"Creative Commons Attribution 4.0 International,Open Access","Data presented in the manuscript ""Sources of particulate matter air pollution and its oxidative potential in Europe"" (https://doi.org/10.1038/s41586-020-2902-8) by Daellenbach et al. (2020).",mds,True,findable,0,0,0,0,0,2020-11-18T16:07:33.000Z,2020-11-18T16:07:34.000Z,cern.zenodo,cern,"particulate air pollution,health effects,oxidative potential","[{'subject': 'particulate air pollution'}, {'subject': 'health effects'}, {'subject': 'oxidative potential'}]",,
+10.17178/ohmcv.dsd.vb1.12-14.1,"DSD network, Villeneuve-de-Berg-1",CNRS - OSUG - OREME,2011,en,Dataset,"Data access and use are ruled by the OHMCV data policy.,The following acknowledging sentence should appear in publications using OHMCV data and products: ""OHMCV is funded by the Institut National des Sciences de l’Univers (INSU/CNRS) and the Observatoire des Sciences de l’Univers de Grenoble (OSUG / Université Grenoble Alpes)â€.",This dataset is part of the Cevennesâ€Vivarais Mediterranean Hydrometeorological Observatory (OHMCV),mds,True,findable,0,0,1,1,0,2017-03-10T17:09:22.000Z,2017-03-10T17:09:23.000Z,inist.osug,jbru,"Atmospheric conditions,Precipitation Rate,Droplet Size,DISDROMETERS,Ground networks,Hydrometeorological sites,Fixed Observation Stations","[{'subject': 'Atmospheric conditions', 'subjectScheme': 'main'}, {'subject': 'Precipitation Rate', 'subjectScheme': 'main'}, {'subject': 'Droplet Size', 'subjectScheme': 'main'}, {'subject': 'DISDROMETERS', 'subjectScheme': 'main'}, {'subject': 'Ground networks', 'subjectScheme': 'main'}, {'subject': 'Hydrometeorological sites', 'subjectScheme': 'main'}, {'subject': 'Fixed Observation Stations', 'subjectScheme': 'main'}]",,['NETCDF']
+10.48537/hal-03220294,"Atelier Art et Re-Action (Area), Performing Urban Routines and Rituals",Reseau International Ambiances,2020,en,Text,Creative Commons Attribution Non Commercial No Derivatives 2.0 Generic,"This paper presents a series of contemporary artistic methods and collective actions based on the pioneering work of the French avant-garde group Art et Action (AEA, 1919-1939). AEA actively responded to the fast-changing society of their time through their innovative ‘theatre laboratory’, an experimental artistic research environment in which actors and audience were invited to investigate together the rhythmic order of urban routines and rituals, through the re-en- actment of daily urban atmospheres. Based on AEA’s methods and concepts, atelier Area aims at responding to today’s deep physical, sensorial and social transformation of the city by re-acting contemporary urban routines and rituals through public improvisations and interventions. Three concrete examples will be presented here.",mds,True,findable,0,0,0,0,0,2021-06-17T10:17:27.000Z,2021-06-17T10:17:28.000Z,jbru.aau,jbru,"Art et Action,Urban Routines and Rituals,Re-Action,Artistic Research Methods","[{'lang': 'eng', 'subject': 'Art et Action'}, {'lang': 'eng', 'subject': 'Urban Routines and Rituals'}, {'lang': 'eng', 'subject': 'Re-Action'}, {'lang': 'eng', 'subject': 'Artistic Research Methods'}]",['6 pages'],['application/pdf']
10.17178/amma-catch.all,"AMMA-CATCH: a hydrological, meteorological and ecological observatory on West Africa","IRD, CNRS-INSU, OSUG, OMP, OREME",1990,en,Dataset,"Creative Commons Attribution 4.0 International,Data access and use are ruled by the AMMA-CATCH data policy.,For any publication using AMMA-CATCH data, authors are asked to:
Mandatory: cite the reference article and the DOI of the observatory
@@ -3232,23 +2564,13 @@ Mandatory: cite the reference article and the DOI of the observatory
Optional: cite the DOI of each dataset used.
Co-authorship: depending on the contribution of the data to the scientific results obtained, the authors should either propose co-authorship to the data providers or at least acknowledge their contribution.","AMMA-CATCH is an observation service (SO) dedicated to long-term monitoring of climatological, hydrological and ecological changes in West Africa. For this purpose, it gathers data from three densely instrumented sites in Mali, Senegal, Niger and Benin. These three sites cover areas ranging between 10000 and 25000 km² and are located at different latitudes so as to sample the characteristic eco-climatic gradients of the region, ranging from semi arid to sudanian climate. Simultaneous monitoring of the vegetation cover, the phenology and the various terms of the water balance (rainfall, infiltration, groundwater recharge, surface runoff) at the three sites provides insight into the interactions between the water cycle, vegetation dynamics and climate variability at intraseasonal and interannual scales over this region that is highly vulnerable to the impacts of climate change. AMMA-CATCH observations feed three scientific axes : long term evolution at regional scale, study of processes and application to socio-economic demand.",mds,True,findable,0,0,1,0,0,2018-03-16T15:36:53.000Z,2018-03-16T15:36:53.000Z,inist.osug,jbru,"Tropical climate,Sahelian/Saharan climate,Sahelian climate,Sudanian climate,Precipitation,Surface water,Meteo,Flux,Radiation,Vegetation,Ground water,Soils,Water quality / Water chemistry","[{'subject': 'Tropical climate', 'subjectScheme': 'main'}, {'subject': 'Sahelian/Saharan climate', 'subjectScheme': 'main'}, {'subject': 'Sahelian climate', 'subjectScheme': 'main'}, {'subject': 'Sudanian climate', 'subjectScheme': 'main'}, {'subject': 'Precipitation', 'subjectScheme': 'var'}, {'subject': 'Surface water', 'subjectScheme': 'var'}, {'subject': 'Meteo', 'subjectScheme': 'var'}, {'subject': 'Flux', 'subjectScheme': 'var'}, {'subject': 'Radiation', 'subjectScheme': 'var'}, {'subject': 'Vegetation', 'subjectScheme': 'var'}, {'subject': 'Ground water', 'subjectScheme': 'var'}, {'subject': 'Soils', 'subjectScheme': 'var'}, {'subject': 'Water quality / Water chemistry', 'subjectScheme': 'var'}]",,"['CSV', 'NETCDF', 'O&M 1.0']"
-10.17178/emaa_ortho-(15n)h2d_rotation_018a251d,Rotation excitation of ortho-[15N]H2D by ortho-H2 and para-H2 collisions,"UGA, CNRS, CNRS-INSU, OSUG",2021,en,Dataset,"Please acknowledge the use of EMAA Database by citing the original articles in which the data were published (BibTeX format available), and adding the following sentence in your publication:
-This research has made use of spectroscopic and collisional data from the EMAA database (https://emaa.osug.fr). EMAA is supported by the Observatoire des Sciences de l'Univers de Grenoble (OSUG),Creative Commons Attribution 4.0 International,Data access and use are ruled by the EMAA data policy.",56 rotation energy levels / 282 radiative transitions / 1540 collisional transitions for para-H2 (13 temperatures in the range 5-300K) / 1540 collisional transitions for ortho-H2 (13 temperatures in the range 5-300K),mds,True,findable,0,0,0,0,0,2021-11-18T13:35:32.000Z,2021-11-18T13:35:33.000Z,inist.osug,jbru,"target ortho-[15N]H2D,excitationType Rotation,collisional excitation,collider.0 para-H2,collider.1 ortho-H2,astrophysics,interstellar medium,comets,circumstellar medium,gas,microwave spectroscopy,infrared spectroscopy,rotational excitation,rovibrational excitation,vibrational excitation,electronic excitation,collisional rate coefficients,fine structure,hyperfine structure","[{'subject': 'target ortho-[15N]H2D', 'subjectScheme': 'main'}, {'subject': 'excitationType Rotation', 'subjectScheme': 'main'}, {'subject': 'collisional excitation', 'subjectScheme': 'main'}, {'subject': 'collider.0 para-H2', 'subjectScheme': 'var'}, {'subject': 'collider.1 ortho-H2', 'subjectScheme': 'var'}, {'subject': 'astrophysics', 'subjectScheme': 'var'}, {'subject': 'interstellar medium', 'subjectScheme': 'var'}, {'subject': 'comets', 'subjectScheme': 'var'}, {'subject': 'circumstellar medium', 'subjectScheme': 'var'}, {'subject': 'gas', 'subjectScheme': 'var'}, {'subject': 'microwave spectroscopy', 'subjectScheme': 'var'}, {'subject': 'infrared spectroscopy', 'subjectScheme': 'var'}, {'subject': 'rotational excitation', 'subjectScheme': 'var'}, {'subject': 'rovibrational excitation', 'subjectScheme': 'var'}, {'subject': 'vibrational excitation', 'subjectScheme': 'var'}, {'subject': 'electronic excitation', 'subjectScheme': 'var'}, {'subject': 'collisional rate coefficients', 'subjectScheme': 'var'}, {'subject': 'fine structure', 'subjectScheme': 'var'}, {'subject': 'hyperfine structure', 'subjectScheme': 'var'}]",,['Radex']
-10.17178/emaa_para-h2s_rotation_f76b8b70,Rotation excitation of para-H2S by ortho-H2 and para-H2 collisions,"UGA, CNRS, CNRS-INSU, OSUG",2022,en,Dataset,"Please acknowledge the use of EMAA Database by citing the original articles in which the data were published (BibTeX format available), and adding the following sentence in your publication:
-This research has made use of spectroscopic and collisional data from the EMAA database (https://emaa.osug.fr). EMAA is supported by the Observatoire des Sciences de l'Univers de Grenoble (OSUG),Creative Commons Attribution 4.0 International,Data access and use are ruled by the EMAA data policy.",19 rotation energy levels / 45 radiative transitions / 171 collisional transitions for ortho-H2 (10 temperatures in the range 5-500K) / 171 collisional transitions for para-H2 (10 temperatures in the range 5-500K),mds,True,findable,0,0,0,0,0,2023-12-07T15:52:16.000Z,2023-12-07T15:52:17.000Z,inist.osug,jbru,"target para-H2S,excitationType Rotation,collisional excitation,collider.0 ortho-H2,collider.1 para-H2,astrophysics,interstellar medium,comets,circumstellar medium,gas,microwave spectroscopy,infrared spectroscopy,rotational excitation,rovibrational excitation,vibrational excitation,electronic excitation,collisional rate coefficients,fine structure,hyperfine structure","[{'subject': 'target para-H2S', 'subjectScheme': 'main'}, {'subject': 'excitationType Rotation', 'subjectScheme': 'main'}, {'subject': 'collisional excitation', 'subjectScheme': 'main'}, {'subject': 'collider.0 ortho-H2', 'subjectScheme': 'var'}, {'subject': 'collider.1 para-H2', 'subjectScheme': 'var'}, {'subject': 'astrophysics', 'subjectScheme': 'var'}, {'subject': 'interstellar medium', 'subjectScheme': 'var'}, {'subject': 'comets', 'subjectScheme': 'var'}, {'subject': 'circumstellar medium', 'subjectScheme': 'var'}, {'subject': 'gas', 'subjectScheme': 'var'}, {'subject': 'microwave spectroscopy', 'subjectScheme': 'var'}, {'subject': 'infrared spectroscopy', 'subjectScheme': 'var'}, {'subject': 'rotational excitation', 'subjectScheme': 'var'}, {'subject': 'rovibrational excitation', 'subjectScheme': 'var'}, {'subject': 'vibrational excitation', 'subjectScheme': 'var'}, {'subject': 'electronic excitation', 'subjectScheme': 'var'}, {'subject': 'collisional rate coefficients', 'subjectScheme': 'var'}, {'subject': 'fine structure', 'subjectScheme': 'var'}, {'subject': 'hyperfine structure', 'subjectScheme': 'var'}]",,['Radex']
-10.17178/emaa_ch2nh_hyperfine_9027c066,Hyperfine excitation of CH2NH by para-H2 collisions,"UGA, CNRS, CNRS-INSU, OSUG",2023,en,Dataset,"Please acknowledge the use of EMAA Database by citing the original articles in which the data were published (BibTeX format available), and adding the following sentence in your publication:
-This research has made use of spectroscopic and collisional data from the EMAA database (https://emaa.osug.fr). EMAA is supported by the Observatoire des Sciences de l'Univers de Grenoble (OSUG),Creative Commons Attribution 4.0 International,Data access and use are ruled by the EMAA data policy.",43 hyperfine energy levels / 180 radiative transitions / 861 collisional transitions for para-H2 (6 temperatures in the range 5-30K),mds,True,findable,0,0,0,0,0,2023-12-07T15:50:42.000Z,2023-12-07T15:50:42.000Z,inist.osug,jbru,"target CH2NH,excitationType Hyperfine,collisional excitation,collider.0 para-H2,astrophysics,interstellar medium,comets,circumstellar medium,gas,microwave spectroscopy,infrared spectroscopy,rotational excitation,rovibrational excitation,vibrational excitation,electronic excitation,collisional rate coefficients,fine structure,hyperfine structure","[{'subject': 'target CH2NH', 'subjectScheme': 'main'}, {'subject': 'excitationType Hyperfine', 'subjectScheme': 'main'}, {'subject': 'collisional excitation', 'subjectScheme': 'main'}, {'subject': 'collider.0 para-H2', 'subjectScheme': 'var'}, {'subject': 'astrophysics', 'subjectScheme': 'var'}, {'subject': 'interstellar medium', 'subjectScheme': 'var'}, {'subject': 'comets', 'subjectScheme': 'var'}, {'subject': 'circumstellar medium', 'subjectScheme': 'var'}, {'subject': 'gas', 'subjectScheme': 'var'}, {'subject': 'microwave spectroscopy', 'subjectScheme': 'var'}, {'subject': 'infrared spectroscopy', 'subjectScheme': 'var'}, {'subject': 'rotational excitation', 'subjectScheme': 'var'}, {'subject': 'rovibrational excitation', 'subjectScheme': 'var'}, {'subject': 'vibrational excitation', 'subjectScheme': 'var'}, {'subject': 'electronic excitation', 'subjectScheme': 'var'}, {'subject': 'collisional rate coefficients', 'subjectScheme': 'var'}, {'subject': 'fine structure', 'subjectScheme': 'var'}, {'subject': 'hyperfine structure', 'subjectScheme': 'var'}]",,['Radex']
-10.17178/emaa_ortho-nh3_hyperfine_22b1dfb7,Hyperfine excitation of ortho-NH3 by para-H2 collisions,"UGA, CNRS, CNRS-INSU, OSUG",2023,en,Dataset,"Please acknowledge the use of EMAA Database by citing the original articles in which the data were published (BibTeX format available), and adding the following sentence in your publication:
-This research has made use of spectroscopic and collisional data from the EMAA database (https://emaa.osug.fr). EMAA is supported by the Observatoire des Sciences de l'Univers de Grenoble (OSUG),Creative Commons Attribution 4.0 International,Data access and use are ruled by the EMAA data policy.",25 hyperfine energy levels / 47 radiative transitions / 300 collisional transitions for para-H2 (11 temperatures in the range 5-100K),mds,True,findable,0,0,0,0,0,2023-12-07T15:51:55.000Z,2023-12-07T15:51:56.000Z,inist.osug,jbru,"target ortho-NH3,excitationType Hyperfine,collisional excitation,collider.0 para-H2,astrophysics,interstellar medium,comets,circumstellar medium,gas,microwave spectroscopy,infrared spectroscopy,rotational excitation,rovibrational excitation,vibrational excitation,electronic excitation,collisional rate coefficients,fine structure,hyperfine structure","[{'subject': 'target ortho-NH3', 'subjectScheme': 'main'}, {'subject': 'excitationType Hyperfine', 'subjectScheme': 'main'}, {'subject': 'collisional excitation', 'subjectScheme': 'main'}, {'subject': 'collider.0 para-H2', 'subjectScheme': 'var'}, {'subject': 'astrophysics', 'subjectScheme': 'var'}, {'subject': 'interstellar medium', 'subjectScheme': 'var'}, {'subject': 'comets', 'subjectScheme': 'var'}, {'subject': 'circumstellar medium', 'subjectScheme': 'var'}, {'subject': 'gas', 'subjectScheme': 'var'}, {'subject': 'microwave spectroscopy', 'subjectScheme': 'var'}, {'subject': 'infrared spectroscopy', 'subjectScheme': 'var'}, {'subject': 'rotational excitation', 'subjectScheme': 'var'}, {'subject': 'rovibrational excitation', 'subjectScheme': 'var'}, {'subject': 'vibrational excitation', 'subjectScheme': 'var'}, {'subject': 'electronic excitation', 'subjectScheme': 'var'}, {'subject': 'collisional rate coefficients', 'subjectScheme': 'var'}, {'subject': 'fine structure', 'subjectScheme': 'var'}, {'subject': 'hyperfine structure', 'subjectScheme': 'var'}]",,['Radex']
-10.17178/emaa_heh-plus_rotation_2ccc89ee,Rotation excitation of HeH+ by H and electron collisions,"UGA, CNRS, CNRS-INSU, OSUG",2021,en,Dataset,"Please acknowledge the use of EMAA Database by citing the original articles in which the data were published (BibTeX format available), and adding the following sentence in your publication:
-This research has made use of spectroscopic and collisional data from the EMAA database (https://emaa.osug.fr). EMAA is supported by the Observatoire des Sciences de l'Univers de Grenoble (OSUG),Creative Commons Attribution 4.0 International,Data access and use are ruled by the EMAA data policy.",12 rotation energy levels / 11 radiative transitions / 57 collisional transitions for electron (12 temperatures in the range 10-3000K) / 45 collisional transitions for H (18 temperatures in the range 10-500K),mds,True,findable,0,0,0,0,0,2021-11-18T13:35:10.000Z,2021-11-18T13:35:10.000Z,inist.osug,jbru,"target HeH+,excitationType Rotation,collisional excitation,collider.0 electron,collider.1 H,astrophysics,interstellar medium,comets,circumstellar medium,gas,microwave spectroscopy,infrared spectroscopy,rotational excitation,rovibrational excitation,vibrational excitation,electronic excitation,collisional rate coefficients,fine structure,hyperfine structure","[{'subject': 'target HeH+', 'subjectScheme': 'main'}, {'subject': 'excitationType Rotation', 'subjectScheme': 'main'}, {'subject': 'collisional excitation', 'subjectScheme': 'main'}, {'subject': 'collider.0 electron', 'subjectScheme': 'var'}, {'subject': 'collider.1 H', 'subjectScheme': 'var'}, {'subject': 'astrophysics', 'subjectScheme': 'var'}, {'subject': 'interstellar medium', 'subjectScheme': 'var'}, {'subject': 'comets', 'subjectScheme': 'var'}, {'subject': 'circumstellar medium', 'subjectScheme': 'var'}, {'subject': 'gas', 'subjectScheme': 'var'}, {'subject': 'microwave spectroscopy', 'subjectScheme': 'var'}, {'subject': 'infrared spectroscopy', 'subjectScheme': 'var'}, {'subject': 'rotational excitation', 'subjectScheme': 'var'}, {'subject': 'rovibrational excitation', 'subjectScheme': 'var'}, {'subject': 'vibrational excitation', 'subjectScheme': 'var'}, {'subject': 'electronic excitation', 'subjectScheme': 'var'}, {'subject': 'collisional rate coefficients', 'subjectScheme': 'var'}, {'subject': 'fine structure', 'subjectScheme': 'var'}, {'subject': 'hyperfine structure', 'subjectScheme': 'var'}]",,['Radex']
-10.17178/emaa_para-(13c)c2h2_rotation_62296b37,Rotation excitation of para-c-[13C]C2H2 by He and para-H2 collisions,"UGA, CNRS, CNRS-INSU, OSUG",2023,en,Dataset,"Please acknowledge the use of EMAA Database by citing the original articles in which the data were published (BibTeX format available), and adding the following sentence in your publication:
-This research has made use of spectroscopic and collisional data from the EMAA database (https://emaa.osug.fr). EMAA is supported by the Observatoire des Sciences de l'Univers de Grenoble (OSUG),Creative Commons Attribution 4.0 International,Data access and use are ruled by the EMAA data policy.",42 rotation energy levels / 86 radiative transitions / 861 collisional transitions for para-H2 (9 temperatures in the range 5-120K) / 861 collisional transitions for He (9 temperatures in the range 5-120K),mds,True,findable,0,0,0,0,0,2023-12-07T15:52:03.000Z,2023-12-07T15:52:04.000Z,inist.osug,jbru,"target para-c-[13C]C2H2,excitationType Rotation,collisional excitation,collider.0 para-H2,collider.1 He,astrophysics,interstellar medium,comets,circumstellar medium,gas,microwave spectroscopy,infrared spectroscopy,rotational excitation,rovibrational excitation,vibrational excitation,electronic excitation,collisional rate coefficients,fine structure,hyperfine structure","[{'subject': 'target para-c-[13C]C2H2', 'subjectScheme': 'main'}, {'subject': 'excitationType Rotation', 'subjectScheme': 'main'}, {'subject': 'collisional excitation', 'subjectScheme': 'main'}, {'subject': 'collider.0 para-H2', 'subjectScheme': 'var'}, {'subject': 'collider.1 He', 'subjectScheme': 'var'}, {'subject': 'astrophysics', 'subjectScheme': 'var'}, {'subject': 'interstellar medium', 'subjectScheme': 'var'}, {'subject': 'comets', 'subjectScheme': 'var'}, {'subject': 'circumstellar medium', 'subjectScheme': 'var'}, {'subject': 'gas', 'subjectScheme': 'var'}, {'subject': 'microwave spectroscopy', 'subjectScheme': 'var'}, {'subject': 'infrared spectroscopy', 'subjectScheme': 'var'}, {'subject': 'rotational excitation', 'subjectScheme': 'var'}, {'subject': 'rovibrational excitation', 'subjectScheme': 'var'}, {'subject': 'vibrational excitation', 'subjectScheme': 'var'}, {'subject': 'electronic excitation', 'subjectScheme': 'var'}, {'subject': 'collisional rate coefficients', 'subjectScheme': 'var'}, {'subject': 'fine structure', 'subjectScheme': 'var'}, {'subject': 'hyperfine structure', 'subjectScheme': 'var'}]",,['Radex']
+10.17178/cryobsclim.clb.muzelle,"Muzelle, Automatic Weather Station",CNRS - OSUG - Meteo France - Irstea,2000,,Dataset,"Data access and use are ruled by the CRYOBS-CLIM data policy.,Always quote below citation to Guyomarch et al. (2019) when using data.
+G. Guyomarc'h, H. bellot, V. Vionnet, F. Naaim-Bouvet, Y. Deliot, F. Fontaine, P. Pugliese, M. Naaim, K. Nishimura, A meteorological and blowing snow data set (2000-2016) from a high altitude alpine site (Col du Lac Blanc, France, 2720 m a.s.l), Earth System Science Data, 11(2019), 57-69, https://doi.org/10.5194/essd-11-57-2019. The following acknowledging sentence should appear in publications using Cryobs-Clim-CLB data and products: ""Cryobs-Clim Col du Lac Blanc is funded by Meteo France, Irstea, the Institut National des Sciences de l’Univers (INSU/CNRS), and the Observatoire des Sciences de l’Univers de Grenoble (OSUG / Université Grenoble Alpes)â€. You are invited to contact the PI(s) or lead scientist for more information about the data and to include the acknowledgement sentence in any publication using the data.","This dataset is part of the Cryobs-Clim-CLB (CRYosphere, an OBServatory of the CLIMate – Col du Lac Blanc) observatory",mds,True,findable,0,0,1,0,0,2018-04-09T10:16:37.000Z,2018-04-09T10:16:37.000Z,inist.osug,jbru,"Wind speed,Wind direction,Air temperature,Snow depth","[{'subject': 'Wind speed', 'subjectScheme': 'main'}, {'subject': 'Wind direction', 'subjectScheme': 'main'}, {'subject': 'Air temperature', 'subjectScheme': 'main'}, {'subject': 'Snow depth', 'subjectScheme': 'main'}]",,['CSV']
+10.5281/zenodo.6798922,Binding Energies of Interstellar Relevant S-bearing Species on Water Ice Mantles: A Quantum Mechanical Investigation,Zenodo,2022,,Dataset,"Creative Commons Attribution 4.0 International,Open Access","This Supporting Material contains: Fractional coordinates of DFT optimized adsorption complexes for crystalline periodic ice models in .mol format, editable with MOLDRAW, using CRYSTAL17 computer code; Fractional coordinates of HF-3c optimized adsorption complexes for amorphous periodic ice models in .mol format, editable with MOLDRAW, using CRYSTAL17 computer code; Images of the adsorption features at crystalline periodic ice models, in which electrostatic potential maps, spin density maps (when available) and vibrational features are displayed; A pdf file with a thorough guide to the computation of BEs and the basis sets employed for the calculations.",mds,True,findable,0,0,0,0,0,2022-08-26T09:55:11.000Z,2022-08-26T09:55:12.000Z,cern.zenodo,cern,,,,
+10.48537/hal-03220311,"From a Sensitive Ecology of Ambiances/Atmospheres to a Political Ecology, Session 6 – Introduction",Reseau International Ambiances,2020,en,Text,Creative Commons Attribution Non Commercial No Derivatives 2.0 Generic,,mds,True,findable,0,0,0,0,0,2021-06-17T16:48:43.000Z,2021-06-17T16:48:44.000Z,jbru.aau,jbru,,,['3 pages'],['application/pdf']
10.17178/emaa_ortho-h2s_rotation_3f29e6c3,Rotation excitation of ortho-H2S by ortho-H2 and para-H2 collisions,"UGA, CNRS, CNRS-INSU, OSUG",2022,en,Dataset,"Please acknowledge the use of EMAA Database by citing the original articles in which the data were published (BibTeX format available), and adding the following sentence in your publication:
This research has made use of spectroscopic and collisional data from the EMAA database (https://emaa.osug.fr). EMAA is supported by the Observatoire des Sciences de l'Univers de Grenoble (OSUG),Creative Commons Attribution 4.0 International,Data access and use are ruled by the EMAA data policy.",19 rotation energy levels / 46 radiative transitions / 171 collisional transitions for ortho-H2 (10 temperatures in the range 5-500K) / 171 collisional transitions for para-H2 (10 temperatures in the range 5-500K),mds,True,findable,0,0,0,0,0,2023-12-07T15:51:48.000Z,2023-12-07T15:51:49.000Z,inist.osug,jbru,"target ortho-H2S,excitationType Rotation,collisional excitation,collider.0 ortho-H2,collider.1 para-H2,astrophysics,interstellar medium,comets,circumstellar medium,gas,microwave spectroscopy,infrared spectroscopy,rotational excitation,rovibrational excitation,vibrational excitation,electronic excitation,collisional rate coefficients,fine structure,hyperfine structure","[{'subject': 'target ortho-H2S', 'subjectScheme': 'main'}, {'subject': 'excitationType Rotation', 'subjectScheme': 'main'}, {'subject': 'collisional excitation', 'subjectScheme': 'main'}, {'subject': 'collider.0 ortho-H2', 'subjectScheme': 'var'}, {'subject': 'collider.1 para-H2', 'subjectScheme': 'var'}, {'subject': 'astrophysics', 'subjectScheme': 'var'}, {'subject': 'interstellar medium', 'subjectScheme': 'var'}, {'subject': 'comets', 'subjectScheme': 'var'}, {'subject': 'circumstellar medium', 'subjectScheme': 'var'}, {'subject': 'gas', 'subjectScheme': 'var'}, {'subject': 'microwave spectroscopy', 'subjectScheme': 'var'}, {'subject': 'infrared spectroscopy', 'subjectScheme': 'var'}, {'subject': 'rotational excitation', 'subjectScheme': 'var'}, {'subject': 'rovibrational excitation', 'subjectScheme': 'var'}, {'subject': 'vibrational excitation', 'subjectScheme': 'var'}, {'subject': 'electronic excitation', 'subjectScheme': 'var'}, {'subject': 'collisional rate coefficients', 'subjectScheme': 'var'}, {'subject': 'fine structure', 'subjectScheme': 'var'}, {'subject': 'hyperfine structure', 'subjectScheme': 'var'}]",,['Radex']
-10.17178/draixbleone_gal_rob_temp_1519,Temperature of the river Galabre at the Robine station of the Galabre watershed,IGE - CNRS - OSUG,2020,en,Dataset,"Creative Commons Attribution 4.0 International,The following acknowledging sentence should appear in publications using data and products from the Galabre watershed of the Draix Bleone Observatory: ""DRAIX BLEONE is funded by the Institut National des Sciences de l’Univers (INSU/CNRS) and the Observatoire des Sciences de l’Univers de Grenoble (OSUG / Université Grenoble Alpes)â€.,Always quote below citation to Legout et al. (submitted) when using these data. Legout C., Freche G., Biron R., Esteves M., Nord G, Navratil O., Uber M., Grangeon T., Hachgenei N., Boudevillain B. Voiron C., Spadini L. A critical zone observatory dedicated to suspended sediment transport: the meso-scale Galabre catchment (southern French Alps), submitted to Hydrological Processes.",This temperature data set is part of the DRAIXBLEONE_GAL observatory.,mds,True,findable,0,0,0,0,0,2020-09-15T15:58:52.000Z,2020-09-15T15:58:53.000Z,inist.osug,jbru,"Mediterranean mountainous climate,Surface water,Hydrology,Water quality / Water chemistry","[{'subject': 'Mediterranean mountainous climate', 'subjectScheme': 'main'}, {'subject': 'Surface water', 'subjectScheme': 'var'}, {'subject': 'Hydrology', 'subjectScheme': 'var'}, {'subject': 'Water quality / Water chemistry', 'subjectScheme': 'var'}]",,['CSV']
-10.17178/ohmcv.smo.cla.13-14.1,"Soil moisture sensor network, Gazel and Claduègne catchments",CNRS - OSUG - OREME,2013,en,Dataset,"Data access and use are ruled by the OHMCV data policy.,The following acknowledging sentence should appear in publications using OHMCV data and products: ""OHMCV is funded by the Institut National des Sciences de l’Univers (INSU/CNRS) and the Observatoire des Sciences de l’Univers de Grenoble (OSUG / Université Grenoble Alpes)â€.","The nine sites were equipped with 5 sensors for continuous soil moisture measurements: two at about 10 cm, two at 20–25 cm and one at 30–50 cm depth, in order to document soil saturation. These 5 sensors are connected to the same datalogger and the observation frequency is 20 min.",mds,True,findable,0,0,1,0,0,2017-03-10T17:09:30.000Z,2017-03-10T17:09:30.000Z,inist.osug,jbru,"Soil Moisture/Water Content,SOIL MOISTURE PROBE,Ground networks","[{'subject': 'Soil Moisture/Water Content', 'subjectScheme': 'main'}, {'subject': 'SOIL MOISTURE PROBE', 'subjectScheme': 'main'}, {'subject': 'Ground networks', 'subjectScheme': 'main'}]",,"['CSV', 'ESRI Grid', 'NETCDF']"
-10.17178/amma-catch.ae.h2oflux_ncw,"Surface flux dataset (including meteorological data, radiative budget, surface energy, water vapor and carbon fluxes), over the Wankama watershed (1 km2), Niger","IRD, CNRS-INSU, OSUG, OMP, OREME",2005,en,Dataset,"Creative Commons Attribution 4.0 International,Data access and use are ruled by the AMMA-CATCH data policy.,For any publication using AMMA-CATCH data, authors are asked to:
+10.17178/amma-catch.cl.rain_gt,"Precipitation dataset (5 minutes rainfall), within the Gourma site (30000 km2), Mali","IRD, CNRS-INSU, OSUG, OMP, OREME",2005,en,Dataset,"Creative Commons Attribution 4.0 International,Data access and use are ruled by the AMMA-CATCH data policy.,For any publication using AMMA-CATCH data, authors are asked to:
Mandatory: cite the reference article and the DOI of the observatory
@@ -3257,8 +2579,15 @@ Mandatory: cite the reference article and the DOI of the observatory
Optional: cite the DOI of each dataset used.
-Co-authorship: depending on the contribution of the data to the scientific results obtained, the authors should either propose co-authorship to the data providers or at least acknowledge their contribution.",Measure components of the local-scale energy budget. Obtain forcing and validation data for modeling of soil-vegetation-atmosphere exchanges in Sahel. Contribute to the flux station network over the AMMA regional transect.,mds,True,findable,0,0,1,0,0,2018-03-16T15:36:51.000Z,2018-03-16T15:36:51.000Z,inist.osug,jbru,"Land surface exchange, water budget, energy budget, sahelian vegetation, evapo-transpiration, sahelian hydrology,Sahelian climate,Wind Speed,Soil Moisture/CS650 Period at depth 10 cm (loc. b),Soil Temperature at depth 10 cm,Standard Deviation of Wind Direction (2),Soil Moisture/CS616 Period at depth 50 cm (loc. b),Soil Moisture/CS616 Period at depth 1 m (loc. b),Sensible Heat Flux,Wind Speed (2),Precipitation Amount (previous 30 minutes),Soil Heat Flux at depth 5 cm,Soil Moisture/CS616 Period at depth 1.5 m (loc. b),Soil Moisture/Water Content at depth 10 cm (loc. b),Wind Direction (2),Soil Moisture/CS616 Period at depth 2.5 m,Precipitation Rate,Soil Temperature at depth 50 cm,Precipitation Amount (since January 1),Soil Moisture/CS616 Period at depth 2 m (loc. b),Soil Moisture/CS616 Period at depth 2.5 m (loc. b),Relative Humidity,Soil Temperature at depth 2.5 m,Soil Moisture/Water Content at depth 1 m (loc. b),Soil Moisture/CS650 Period at depth 2 m (loc. b),Soil Moisture/CS616 Period at depth 1 m,Soil Moisture/CS616 Period at depth 10 cm,Outgoing Longwave Radiation,Carbon Dioxide Flux,Soil Moisture/CS650 Period at depth 2.5 m (loc. b),Soil Temperature at depth 1.5 m,Carbon Dioxide Mean Concentration,Incoming Shortwave Radiation,Soil Heat Flux at depth 5 cm (3),Soil Temperature at depth 50 cm (loc. b),Soil Moisture/Water Content at depth 1.5 m (loc. b),Soil Moisture/Water Content at depth 2.5 m (loc. b),Soil Temperature at depth 1 m (loc. b),Wind Direction,Soil Moisture/Water Content at depth 50 cm (loc. b),Soil Moisture/CS650 Period at depth 1.5 m (loc. b),Soil Temperature at depth 1.5 m (loc. b),Latent Heat Flux,Soil Moisture/CS616 Period at depth 10 cm (loc. b),Soil Temperature at depth 2 m,Air Temperature,Soil Moisture/CS616 Period at depth 1.5 m,Soil Moisture/CS616 Period at depth 2 m,Soil Temperature at depth 2.5 m (loc. b),Soil Temperature at depth 1 m,Soil Temperature at depth 2 m (loc. b),Standard Deviation of Wind Direction,Soil Moisture/CS650 Period at depth 50 cm (loc. b),Soil Moisture/CS616 Period at depth 50 cm,Soil Moisture/Water Content at depth 2 m (loc. b),Soil Temperature at depth 10 cm (loc. b),Outgoing Shortwave Radiation,Precipitation Amount (since last tip),Soil Moisture/CS650 Period at depth 1 m (loc. b),Soil Heat Flux at depth 5 cm (2),Incoming Longwave Radiation","[{'subject': 'Land surface exchange, water budget, energy budget, sahelian vegetation, evapo-transpiration, sahelian hydrology', 'subjectScheme': 'main'}, {'subject': 'Sahelian climate', 'subjectScheme': 'main'}, {'subject': 'Wind Speed', 'subjectScheme': 'var'}, {'subject': 'Soil Moisture/CS650 Period at depth 10 cm (loc. b)', 'subjectScheme': 'var'}, {'subject': 'Soil Temperature at depth 10 cm', 'subjectScheme': 'var'}, {'subject': 'Standard Deviation of Wind Direction (2)', 'subjectScheme': 'var'}, {'subject': 'Soil Moisture/CS616 Period at depth 50 cm (loc. b)', 'subjectScheme': 'var'}, {'subject': 'Soil Moisture/CS616 Period at depth 1 m (loc. b)', 'subjectScheme': 'var'}, {'subject': 'Sensible Heat Flux', 'subjectScheme': 'var'}, {'subject': 'Wind Speed (2)', 'subjectScheme': 'var'}, {'subject': 'Precipitation Amount (previous 30 minutes)', 'subjectScheme': 'var'}, {'subject': 'Soil Heat Flux at depth 5 cm', 'subjectScheme': 'var'}, {'subject': 'Soil Moisture/CS616 Period at depth 1.5 m (loc. b)', 'subjectScheme': 'var'}, {'subject': 'Soil Moisture/Water Content at depth 10 cm (loc. b)', 'subjectScheme': 'var'}, {'subject': 'Wind Direction (2)', 'subjectScheme': 'var'}, {'subject': 'Soil Moisture/CS616 Period at depth 2.5 m', 'subjectScheme': 'var'}, {'subject': 'Precipitation Rate', 'subjectScheme': 'var'}, {'subject': 'Soil Temperature at depth 50 cm', 'subjectScheme': 'var'}, {'subject': 'Precipitation Amount (since January 1)', 'subjectScheme': 'var'}, {'subject': 'Soil Moisture/CS616 Period at depth 2 m (loc. b)', 'subjectScheme': 'var'}, {'subject': 'Soil Moisture/CS616 Period at depth 2.5 m (loc. b)', 'subjectScheme': 'var'}, {'subject': 'Relative Humidity', 'subjectScheme': 'var'}, {'subject': 'Soil Temperature at depth 2.5 m', 'subjectScheme': 'var'}, {'subject': 'Soil Moisture/Water Content at depth 1 m (loc. b)', 'subjectScheme': 'var'}, {'subject': 'Soil Moisture/CS650 Period at depth 2 m (loc. b)', 'subjectScheme': 'var'}, {'subject': 'Soil Moisture/CS616 Period at depth 1 m', 'subjectScheme': 'var'}, {'subject': 'Soil Moisture/CS616 Period at depth 10 cm', 'subjectScheme': 'var'}, {'subject': 'Outgoing Longwave Radiation', 'subjectScheme': 'var'}, {'subject': 'Carbon Dioxide Flux', 'subjectScheme': 'var'}, {'subject': 'Soil Moisture/CS650 Period at depth 2.5 m (loc. b)', 'subjectScheme': 'var'}, {'subject': 'Soil Temperature at depth 1.5 m', 'subjectScheme': 'var'}, {'subject': 'Carbon Dioxide Mean Concentration', 'subjectScheme': 'var'}, {'subject': 'Incoming Shortwave Radiation', 'subjectScheme': 'var'}, {'subject': 'Soil Heat Flux at depth 5 cm (3)', 'subjectScheme': 'var'}, {'subject': 'Soil Temperature at depth 50 cm (loc. b)', 'subjectScheme': 'var'}, {'subject': 'Soil Moisture/Water Content at depth 1.5 m (loc. b)', 'subjectScheme': 'var'}, {'subject': 'Soil Moisture/Water Content at depth 2.5 m (loc. b)', 'subjectScheme': 'var'}, {'subject': 'Soil Temperature at depth 1 m (loc. b)', 'subjectScheme': 'var'}, {'subject': 'Wind Direction', 'subjectScheme': 'var'}, {'subject': 'Soil Moisture/Water Content at depth 50 cm (loc. b)', 'subjectScheme': 'var'}, {'subject': 'Soil Moisture/CS650 Period at depth 1.5 m (loc. b)', 'subjectScheme': 'var'}, {'subject': 'Soil Temperature at depth 1.5 m (loc. b)', 'subjectScheme': 'var'}, {'subject': 'Latent Heat Flux', 'subjectScheme': 'var'}, {'subject': 'Soil Moisture/CS616 Period at depth 10 cm (loc. b)', 'subjectScheme': 'var'}, {'subject': 'Soil Temperature at depth 2 m', 'subjectScheme': 'var'}, {'subject': 'Air Temperature', 'subjectScheme': 'var'}, {'subject': 'Soil Moisture/CS616 Period at depth 1.5 m', 'subjectScheme': 'var'}, {'subject': 'Soil Moisture/CS616 Period at depth 2 m', 'subjectScheme': 'var'}, {'subject': 'Soil Temperature at depth 2.5 m (loc. b)', 'subjectScheme': 'var'}, {'subject': 'Soil Temperature at depth 1 m', 'subjectScheme': 'var'}, {'subject': 'Soil Temperature at depth 2 m (loc. b)', 'subjectScheme': 'var'}, {'subject': 'Standard Deviation of Wind Direction', 'subjectScheme': 'var'}, {'subject': 'Soil Moisture/CS650 Period at depth 50 cm (loc. b)', 'subjectScheme': 'var'}, {'subject': 'Soil Moisture/CS616 Period at depth 50 cm', 'subjectScheme': 'var'}, {'subject': 'Soil Moisture/Water Content at depth 2 m (loc. b)', 'subjectScheme': 'var'}, {'subject': 'Soil Temperature at depth 10 cm (loc. b)', 'subjectScheme': 'var'}, {'subject': 'Outgoing Shortwave Radiation', 'subjectScheme': 'var'}, {'subject': 'Precipitation Amount (since last tip)', 'subjectScheme': 'var'}, {'subject': 'Soil Moisture/CS650 Period at depth 1 m (loc. b)', 'subjectScheme': 'var'}, {'subject': 'Soil Heat Flux at depth 5 cm (2)', 'subjectScheme': 'var'}, {'subject': 'Incoming Longwave Radiation', 'subjectScheme': 'var'}]",,"['CSV', 'NETCDF', 'O&M 1.0']"
-10.17178/amma-catch.cl.rain_nig,"Precipitation dataset (5 minutes rainfall), 5 stations in Eastern Niger","IRD, CNRS-INSU, OSUG, OMP, OREME",1999,en,Dataset,"Creative Commons Attribution 4.0 International,Data access and use are ruled by the AMMA-CATCH data policy.,For any publication using AMMA-CATCH data, authors are asked to:
+Co-authorship: depending on the contribution of the data to the scientific results obtained, the authors should either propose co-authorship to the data providers or at least acknowledge their contribution.","Documentation of rainfall in sahelian and saharo-sahelian zones. The aim is to characterize the temporal and spatial variability along the North-South gradient within the Gourma meso-scale site. Data will be used in modelling and assimilation activities, as well as for validation of satellite products.",mds,True,findable,0,0,1,0,0,2018-03-16T15:37:13.000Z,2018-03-16T15:37:14.000Z,inist.osug,jbru,"Rainfall, precipitation, tropical convection,Sahelian/Saharan climate,Precipitation Amount (previous 24 hours),Precipitation Amount (previous 5 minutes),Precipitation Amount (previous hour)","[{'subject': 'Rainfall, precipitation, tropical convection', 'subjectScheme': 'main'}, {'subject': 'Sahelian/Saharan climate', 'subjectScheme': 'main'}, {'subject': 'Precipitation Amount (previous 24 hours)', 'subjectScheme': 'var'}, {'subject': 'Precipitation Amount (previous 5 minutes)', 'subjectScheme': 'var'}, {'subject': 'Precipitation Amount (previous hour)', 'subjectScheme': 'var'}]",,"['CSV', 'NETCDF', 'O&M 1.0']"
+10.5281/zenodo.8384883,Glacier runoff projections and their multiple sources of uncertainty in the Patagonian Andes (40-56°S),Zenodo,2023,,Dataset,"Creative Commons Attribution 4.0 International,Open Access","This dataset contains the catchment scale results of the study: ""<strong>Assessing the glacier projection uncertainties in the Patagonian Andes (40-56°S) from a catchment perspective</strong>"". The results are disaggregated in the following files (for more details, please read the README file): <em>- basins_boundaries.zip:</em> Contains the polygons (in .shp format) of the studied catchments. Each catchment is identified by its ""basin_id"". <em>- dataset_historical.csv: </em>Summarises the historical conditions of each glacier at the catchment scale (area, volume and reference climate). <em>- dataset_future.csv: </em>Summarises the future glacier climate drivers and their impacts at the catchment scale. <em>- dataset_signatures.csv: </em>Summarises the glacio-hydrological signatures for each catchment. The metrics are calculated for the variables ""total glacier runoff (tr)"" and ""melt on glacier (mg)"". The main source of uncertainty in each catchment was the source that accumulated most RMSE loss.",mds,True,findable,0,0,0,0,0,2023-10-05T18:35:16.000Z,2023-10-05T18:35:17.000Z,cern.zenodo,cern,"glacier runoff,Patagonia,uncertainty,Open Global Glacier Model,GlacierMIP,Andes,random forest,Patagonian Icefields","[{'subject': 'glacier runoff'}, {'subject': 'Patagonia'}, {'subject': 'uncertainty'}, {'subject': 'Open Global Glacier Model'}, {'subject': 'GlacierMIP'}, {'subject': 'Andes'}, {'subject': 'random forest'}, {'subject': 'Patagonian Icefields'}]",,
+10.5281/zenodo.4607934,lmarelle/WRF-halogens: WRF-Chem 4.1.1 version including polar bromine chemistry and emissions,Zenodo,2021,,Software,Open Access,"Version 1.0 corresponds to WRF-Chem 4.1.1 + halogen gas-phase chemistry and heterogeneous chemistry on aerosols, also including bromine emissions from surface snow and blowing snow. Version used to perform the runs presented in the paper submitted to JAMES: ""Implementation and impacts of surface and blowing snow sources of Arctic bromine activation within WRF-Chem 4.1.1"" Louis Marelle, Jennie L. Thomas, Shaddy Ahmed, Katie Tuite, Jochen Stutz, Aurelien Dommergue, William R. Simpson, Markus M. Frey, Foteini Baladima",mds,True,findable,0,0,1,0,0,2021-03-16T13:57:31.000Z,2021-03-16T13:57:33.000Z,cern.zenodo,cern,,,,
+10.18709/perscido.2017.03.ds31,LTTng Execution Traces of 10 Phoronix Benchmarks,PerSciDo,2017,en,Dataset,,"This dataset contains the execution traces of 10 Phoronix benchmarks (e.g. compress-gzip, ffmpeg, iozone, network-loopback, phpbench, pybench, ramspeed, scimark2, stream, unpack-linux). The traces concern three different tracing configurations, namely kernel, memory and performance counters. They have been obtained on a standard Linux machine and on the Juno platform. Each configuration has been run 32 times on the Linux machine and 1 time on the Juno board.",fabricaForm,True,findable,0,0,0,0,0,2017-03-20T15:34:38.000Z,2017-03-20T15:34:38.000Z,inist.persyval,vcob,Computer Science,[{'subject': 'Computer Science'}],['100 GB'],
+10.17178/emaa_dcn_rotation_0d1b1e03,"Rotation excitation of DCN by electron, ortho-H2 and para-H2 collisions","UGA, CNRS, CNRS-INSU, OSUG",2021,en,Dataset,"Please acknowledge the use of EMAA Database by citing the original articles in which the data were published (BibTeX format available), and adding the following sentence in your publication:
+This research has made use of spectroscopic and collisional data from the EMAA database (https://emaa.osug.fr). EMAA is supported by the Observatoire des Sciences de l'Univers de Grenoble (OSUG),Creative Commons Attribution 4.0 International,Data access and use are ruled by the EMAA data policy.",22 rotation energy levels / 21 radiative transitions / 231 collisional transitions for para-H2 (12 temperatures in the range 5-500K) / 231 collisional transitions for ortho-H2 (12 temperatures in the range 5-500K) / 36 collisional transitions for electron (10 temperatures in the range 10-1000K),mds,True,findable,0,0,0,0,0,2022-02-07T11:24:25.000Z,2022-02-07T11:24:26.000Z,inist.osug,jbru,"target DCN,excitationType Rotation,collisional excitation,collider.0 para-H2,collider.1 ortho-H2,collider.2 electron,astrophysics,interstellar medium,comets,circumstellar medium,gas,microwave spectroscopy,infrared spectroscopy,rotational excitation,rovibrational excitation,vibrational excitation,electronic excitation,collisional rate coefficients,fine structure,hyperfine structure","[{'subject': 'target DCN', 'subjectScheme': 'main'}, {'subject': 'excitationType Rotation', 'subjectScheme': 'main'}, {'subject': 'collisional excitation', 'subjectScheme': 'main'}, {'subject': 'collider.0 para-H2', 'subjectScheme': 'var'}, {'subject': 'collider.1 ortho-H2', 'subjectScheme': 'var'}, {'subject': 'collider.2 electron', 'subjectScheme': 'var'}, {'subject': 'astrophysics', 'subjectScheme': 'var'}, {'subject': 'interstellar medium', 'subjectScheme': 'var'}, {'subject': 'comets', 'subjectScheme': 'var'}, {'subject': 'circumstellar medium', 'subjectScheme': 'var'}, {'subject': 'gas', 'subjectScheme': 'var'}, {'subject': 'microwave spectroscopy', 'subjectScheme': 'var'}, {'subject': 'infrared spectroscopy', 'subjectScheme': 'var'}, {'subject': 'rotational excitation', 'subjectScheme': 'var'}, {'subject': 'rovibrational excitation', 'subjectScheme': 'var'}, {'subject': 'vibrational excitation', 'subjectScheme': 'var'}, {'subject': 'electronic excitation', 'subjectScheme': 'var'}, {'subject': 'collisional rate coefficients', 'subjectScheme': 'var'}, {'subject': 'fine structure', 'subjectScheme': 'var'}, {'subject': 'hyperfine structure', 'subjectScheme': 'var'}]",,['Radex']
+10.17178/emaa_ortho-nh3_rotation_7565c572,"Rotation excitation of ortho-NH3 by H, ortho-H2 and para-H2 collisions","UGA, CNRS, CNRS-INSU, OSUG",2021,en,Dataset,"Please acknowledge the use of EMAA Database by citing the original articles in which the data were published (BibTeX format available), and adding the following sentence in your publication:
+This research has made use of spectroscopic and collisional data from the EMAA database (https://emaa.osug.fr). EMAA is supported by the Observatoire des Sciences de l'Univers de Grenoble (OSUG),Creative Commons Attribution 4.0 International,Data access and use are ruled by the EMAA data policy.",17 rotation energy levels / 25 radiative transitions / 136 collisional transitions for H (20 temperatures in the range 10-200K) / 136 collisional transitions for ortho-H2 (20 temperatures in the range 10-200K) / 136 collisional transitions for para-H2 (20 temperatures in the range 10-200K),mds,True,findable,0,0,0,0,0,2021-11-17T14:01:50.000Z,2021-11-17T14:01:52.000Z,inist.osug,jbru,"target ortho-NH3,excitationType Rotation,collisional excitation,collider.0 H,collider.1 ortho-H2,collider.2 para-H2,astrophysics,interstellar medium,comets,circumstellar medium,gas,microwave spectroscopy,infrared spectroscopy,rotational excitation,rovibrational excitation,vibrational excitation,electronic excitation,collisional rate coefficients,fine structure,hyperfine structure","[{'subject': 'target ortho-NH3', 'subjectScheme': 'main'}, {'subject': 'excitationType Rotation', 'subjectScheme': 'main'}, {'subject': 'collisional excitation', 'subjectScheme': 'main'}, {'subject': 'collider.0 H', 'subjectScheme': 'var'}, {'subject': 'collider.1 ortho-H2', 'subjectScheme': 'var'}, {'subject': 'collider.2 para-H2', 'subjectScheme': 'var'}, {'subject': 'astrophysics', 'subjectScheme': 'var'}, {'subject': 'interstellar medium', 'subjectScheme': 'var'}, {'subject': 'comets', 'subjectScheme': 'var'}, {'subject': 'circumstellar medium', 'subjectScheme': 'var'}, {'subject': 'gas', 'subjectScheme': 'var'}, {'subject': 'microwave spectroscopy', 'subjectScheme': 'var'}, {'subject': 'infrared spectroscopy', 'subjectScheme': 'var'}, {'subject': 'rotational excitation', 'subjectScheme': 'var'}, {'subject': 'rovibrational excitation', 'subjectScheme': 'var'}, {'subject': 'vibrational excitation', 'subjectScheme': 'var'}, {'subject': 'electronic excitation', 'subjectScheme': 'var'}, {'subject': 'collisional rate coefficients', 'subjectScheme': 'var'}, {'subject': 'fine structure', 'subjectScheme': 'var'}, {'subject': 'hyperfine structure', 'subjectScheme': 'var'}]",,['Radex']
+10.17178/amma-catch.ce.veg_ncw,"Vegetation dataset (seasonal dynamics of millet and fallow), within the Wankama watershed (1 km2), Niger","IRD, CNRS-INSU, OSUG, OMP, OREME",2005,en,Dataset,"Creative Commons Attribution 4.0 International,Data access and use are ruled by the AMMA-CATCH data policy.,For any publication using AMMA-CATCH data, authors are asked to:
Mandatory: cite the reference article and the DOI of the observatory
@@ -3267,128 +2596,147 @@ Mandatory: cite the reference article and the DOI of the observatory
Optional: cite the DOI of each dataset used.
-Co-authorship: depending on the contribution of the data to the scientific results obtained, the authors should either propose co-authorship to the data providers or at least acknowledge their contribution.",Documentation of rainfall in the Sahelian zone. The aim is to characterize the temporal variability of rainfall at regional scales.,mds,True,findable,0,0,1,0,0,2018-03-16T15:37:15.000Z,2018-03-16T15:37:15.000Z,inist.osug,jbru,"Rainfall, precipitation, tropical convection,Sahelian climate,Precipitation Amount (previous 24 hours),Precipitation Amount (previous 5 minutes),Precipitation Amount (previous hour)","[{'subject': 'Rainfall, precipitation, tropical convection', 'subjectScheme': 'main'}, {'subject': 'Sahelian climate', 'subjectScheme': 'main'}, {'subject': 'Precipitation Amount (previous 24 hours)', 'subjectScheme': 'var'}, {'subject': 'Precipitation Amount (previous 5 minutes)', 'subjectScheme': 'var'}, {'subject': 'Precipitation Amount (previous hour)', 'subjectScheme': 'var'}]",,"['CSV', 'NETCDF', 'O&M 1.0']"
-10.17178/emaa_o_fine_5038a7a8,"Fine excitation of O by H, He, ortho-H2 and para-H2 collisions","UGA, CNRS, CNRS-INSU, OSUG",2021,en,Dataset,"Please acknowledge the use of EMAA Database by citing the original articles in which the data were published (BibTeX format available), and adding the following sentence in your publication:
-This research has made use of spectroscopic and collisional data from the EMAA database (https://emaa.osug.fr). EMAA is supported by the Observatoire des Sciences de l'Univers de Grenoble (OSUG),Creative Commons Attribution 4.0 International,Data access and use are ruled by the EMAA data policy.",3 fine energy levels / 2 radiative transitions / 3 collisional transitions for para-H2 (21 temperatures in the range 10-8000K) / 3 collisional transitions for ortho-H2 (21 temperatures in the range 10-8000K) / 3 collisional transitions for H (21 temperatures in the range 10-8000K) / 3 collisional transitions for He (21 temperatures in the range 10-8000K),mds,True,findable,0,0,0,0,0,2021-11-17T14:01:22.000Z,2021-11-17T14:01:23.000Z,inist.osug,jbru,"target O,excitationType Fine,collisional excitation,collider.0 para-H2,collider.1 ortho-H2,collider.2 H,collider.3 He,astrophysics,interstellar medium,comets,circumstellar medium,gas,microwave spectroscopy,infrared spectroscopy,rotational excitation,rovibrational excitation,vibrational excitation,electronic excitation,collisional rate coefficients,fine structure,hyperfine structure","[{'subject': 'target O', 'subjectScheme': 'main'}, {'subject': 'excitationType Fine', 'subjectScheme': 'main'}, {'subject': 'collisional excitation', 'subjectScheme': 'main'}, {'subject': 'collider.0 para-H2', 'subjectScheme': 'var'}, {'subject': 'collider.1 ortho-H2', 'subjectScheme': 'var'}, {'subject': 'collider.2 H', 'subjectScheme': 'var'}, {'subject': 'collider.3 He', 'subjectScheme': 'var'}, {'subject': 'astrophysics', 'subjectScheme': 'var'}, {'subject': 'interstellar medium', 'subjectScheme': 'var'}, {'subject': 'comets', 'subjectScheme': 'var'}, {'subject': 'circumstellar medium', 'subjectScheme': 'var'}, {'subject': 'gas', 'subjectScheme': 'var'}, {'subject': 'microwave spectroscopy', 'subjectScheme': 'var'}, {'subject': 'infrared spectroscopy', 'subjectScheme': 'var'}, {'subject': 'rotational excitation', 'subjectScheme': 'var'}, {'subject': 'rovibrational excitation', 'subjectScheme': 'var'}, {'subject': 'vibrational excitation', 'subjectScheme': 'var'}, {'subject': 'electronic excitation', 'subjectScheme': 'var'}, {'subject': 'collisional rate coefficients', 'subjectScheme': 'var'}, {'subject': 'fine structure', 'subjectScheme': 'var'}, {'subject': 'hyperfine structure', 'subjectScheme': 'var'}]",,['Radex']
-10.17178/emaa_cs_rotation_d0c6405a,"Rotation excitation of CS by electron, ortho-H2 and para-H2 collisions","UGA, CNRS, CNRS-INSU, OSUG",2022,en,Dataset,"Please acknowledge the use of EMAA Database by citing the original articles in which the data were published (BibTeX format available), and adding the following sentence in your publication:
-This research has made use of spectroscopic and collisional data from the EMAA database (https://emaa.osug.fr). EMAA is supported by the Observatoire des Sciences de l'Univers de Grenoble (OSUG),Creative Commons Attribution 4.0 International,Data access and use are ruled by the EMAA data policy.",40 rotation energy levels / 39 radiative transitions / 435 collisional transitions for para-H2 (11 temperatures in the range 5-305K) / 435 collisional transitions for ortho-H2 (11 temperatures in the range 5-305K) / 284 collisional transitions for electron (11 temperatures in the range 10-2000K),mds,True,findable,0,0,0,0,0,2022-02-07T11:24:21.000Z,2022-02-07T11:24:22.000Z,inist.osug,jbru,"target CS,excitationType Rotation,collisional excitation,collider.0 para-H2,collider.1 ortho-H2,collider.2 electron,astrophysics,interstellar medium,comets,circumstellar medium,gas,microwave spectroscopy,infrared spectroscopy,rotational excitation,rovibrational excitation,vibrational excitation,electronic excitation,collisional rate coefficients,fine structure,hyperfine structure","[{'subject': 'target CS', 'subjectScheme': 'main'}, {'subject': 'excitationType Rotation', 'subjectScheme': 'main'}, {'subject': 'collisional excitation', 'subjectScheme': 'main'}, {'subject': 'collider.0 para-H2', 'subjectScheme': 'var'}, {'subject': 'collider.1 ortho-H2', 'subjectScheme': 'var'}, {'subject': 'collider.2 electron', 'subjectScheme': 'var'}, {'subject': 'astrophysics', 'subjectScheme': 'var'}, {'subject': 'interstellar medium', 'subjectScheme': 'var'}, {'subject': 'comets', 'subjectScheme': 'var'}, {'subject': 'circumstellar medium', 'subjectScheme': 'var'}, {'subject': 'gas', 'subjectScheme': 'var'}, {'subject': 'microwave spectroscopy', 'subjectScheme': 'var'}, {'subject': 'infrared spectroscopy', 'subjectScheme': 'var'}, {'subject': 'rotational excitation', 'subjectScheme': 'var'}, {'subject': 'rovibrational excitation', 'subjectScheme': 'var'}, {'subject': 'vibrational excitation', 'subjectScheme': 'var'}, {'subject': 'electronic excitation', 'subjectScheme': 'var'}, {'subject': 'collisional rate coefficients', 'subjectScheme': 'var'}, {'subject': 'fine structure', 'subjectScheme': 'var'}, {'subject': 'hyperfine structure', 'subjectScheme': 'var'}]",,['Radex']
-10.17178/emaa_(18o)h-plus_hyperfine_1c669710,Hyperfine excitation of [18O]H+ by H and electron collisions,"UGA, CNRS, CNRS-INSU, OSUG",2021,en,Dataset,"Please acknowledge the use of EMAA Database by citing the original articles in which the data were published (BibTeX format available), and adding the following sentence in your publication:
-This research has made use of spectroscopic and collisional data from the EMAA database (https://emaa.osug.fr). EMAA is supported by the Observatoire des Sciences de l'Univers de Grenoble (OSUG),Creative Commons Attribution 4.0 International,Data access and use are ruled by the EMAA data policy.",25 hyperfine energy levels / 62 radiative transitions / 284 collisional transitions for H (9 temperatures in the range 10-500K) / 273 collisional transitions for electron (9 temperatures in the range 10-500K),mds,True,findable,0,0,0,0,0,2022-02-07T11:24:01.000Z,2022-02-07T11:24:02.000Z,inist.osug,jbru,"target [18O]H+,excitationType Hyperfine,collisional excitation,collider.0 H,collider.1 electron,astrophysics,interstellar medium,comets,circumstellar medium,gas,microwave spectroscopy,infrared spectroscopy,rotational excitation,rovibrational excitation,vibrational excitation,electronic excitation,collisional rate coefficients,fine structure,hyperfine structure","[{'subject': 'target [18O]H+', 'subjectScheme': 'main'}, {'subject': 'excitationType Hyperfine', 'subjectScheme': 'main'}, {'subject': 'collisional excitation', 'subjectScheme': 'main'}, {'subject': 'collider.0 H', 'subjectScheme': 'var'}, {'subject': 'collider.1 electron', 'subjectScheme': 'var'}, {'subject': 'astrophysics', 'subjectScheme': 'var'}, {'subject': 'interstellar medium', 'subjectScheme': 'var'}, {'subject': 'comets', 'subjectScheme': 'var'}, {'subject': 'circumstellar medium', 'subjectScheme': 'var'}, {'subject': 'gas', 'subjectScheme': 'var'}, {'subject': 'microwave spectroscopy', 'subjectScheme': 'var'}, {'subject': 'infrared spectroscopy', 'subjectScheme': 'var'}, {'subject': 'rotational excitation', 'subjectScheme': 'var'}, {'subject': 'rovibrational excitation', 'subjectScheme': 'var'}, {'subject': 'vibrational excitation', 'subjectScheme': 'var'}, {'subject': 'electronic excitation', 'subjectScheme': 'var'}, {'subject': 'collisional rate coefficients', 'subjectScheme': 'var'}, {'subject': 'fine structure', 'subjectScheme': 'var'}, {'subject': 'hyperfine structure', 'subjectScheme': 'var'}]",,['Radex']
-10.17178/gnss.products.all,GNSS position and velocity solutions,"CNRS, OSUG, ISTERRE",2019,en,Dataset,"License: CC BY-NC-ND 4.0,Data access and use are ruled by the OSUG data policy.,The following acknowledging sentence should appear in publications using ISTerre GNSS products: ""GNSS products are calculated and provided by the Institut of Sciences de la Terre (ISTerre), belonging to the Institut National des Sciences de l’Univers (INSU/CNRS) and the Observatoire des Sciences de l’Univers de Grenoble (OSUG / Université Grenoble Alpes)"".
-You are invited to contact the PI(s) or lead scientist for more information about the data and to include the acknowledgement sentence in any publication using the data.","GNSS data are acquired and/or analyzed by the ISTerre laboratory, part of the Observatory of Earth Sciences and Astronomy of Grenoble (OSUG). GNSS data from permanent sites are processed. Different areas in the world are processed, corresponding to different research projects. ISTerre provides the processing solutions, i.e. position and velocity for each GNSS site. A specific DOI is allocated for those solutions, as well as for RInEx data when relevant.",mds,True,findable,0,0,1,0,0,2019-04-05T10:19:17.000Z,2019-04-05T10:19:17.000Z,inist.osug,jbru,"GNSS products,Velocity field,GNSS data analysis,Time serie positioning","[{'subject': 'GNSS products', 'subjectScheme': 'main'}, {'subject': 'Velocity field', 'subjectScheme': 'var'}, {'subject': 'GNSS data analysis', 'subjectScheme': 'var'}, {'subject': 'Time serie positioning', 'subjectScheme': 'var'}]",,"['pos', 'PBO']"
-10.17178/amma-catch.ae.shflux_odc,"Surface flux dataset (including meteorological data, radiative budget, and surface energy fluxes), within the Donga watershed (600km2), Benin","IRD, CNRS-INSU, OSUG, OMP, OREME",2005,en,Dataset,"Creative Commons Attribution 4.0 International,Data access and use are ruled by the AMMA-CATCH data policy.,For any publication using AMMA-CATCH data, authors are asked to:
+Co-authorship: depending on the contribution of the data to the scientific results obtained, the authors should either propose co-authorship to the data providers or at least acknowledge their contribution.","1) Characterize the vegetation of a representative Sahelian watershed and, especially of the flux stations's footprints, 2) Observations required to parameterize and validate Soil-Vegetation-Atmosphere Transfer (SVAT), hydrologic and vegetation models.",mds,True,findable,0,0,1,0,0,2018-03-16T15:37:06.000Z,2018-03-16T15:37:07.000Z,inist.osug,jbru,"LAI, biomass, cover height, phenology, millet field, fallow,Sahelian climate,Cover Height Mean,Cover Height Standard Deviation,Dry Total Biomass Standard Deviation,Leaf Area Index,Dry Total Biomass Mean","[{'subject': 'LAI, biomass, cover height, phenology, millet field, fallow', 'subjectScheme': 'main'}, {'subject': 'Sahelian climate', 'subjectScheme': 'main'}, {'subject': 'Cover Height Mean', 'subjectScheme': 'var'}, {'subject': 'Cover Height Standard Deviation', 'subjectScheme': 'var'}, {'subject': 'Dry Total Biomass Standard Deviation', 'subjectScheme': 'var'}, {'subject': 'Leaf Area Index', 'subjectScheme': 'var'}, {'subject': 'Dry Total Biomass Mean', 'subjectScheme': 'var'}]",,"['CSV', 'NETCDF', 'O&M 1.0']"
+10.17178/ohmcv.dsd.pvi.11-14.1,"DSD network, Pradel-Vignes",CNRS - OSUG - OREME,2009,en,Dataset,"Data access and use are ruled by the OHMCV data policy.,The following acknowledging sentence should appear in publications using OHMCV data and products: ""OHMCV is funded by the Institut National des Sciences de l’Univers (INSU/CNRS) and the Observatoire des Sciences de l’Univers de Grenoble (OSUG / Université Grenoble Alpes)â€.",This dataset is part of the Cevennesâ€Vivarais Mediterranean Hydrometeorological Observatory (OHMCV),mds,True,findable,0,0,1,1,0,2017-03-10T17:09:20.000Z,2017-03-10T17:09:21.000Z,inist.osug,jbru,"Atmospheric conditions,Precipitation Rate,Droplet Size,DISDROMETERS,Ground networks,Hydrometeorological sites,Fixed Observation Stations","[{'subject': 'Atmospheric conditions', 'subjectScheme': 'main'}, {'subject': 'Precipitation Rate', 'subjectScheme': 'main'}, {'subject': 'Droplet Size', 'subjectScheme': 'main'}, {'subject': 'DISDROMETERS', 'subjectScheme': 'main'}, {'subject': 'Ground networks', 'subjectScheme': 'main'}, {'subject': 'Hydrometeorological sites', 'subjectScheme': 'main'}, {'subject': 'Fixed Observation Stations', 'subjectScheme': 'main'}]",,['NETCDF']
+10.5281/zenodo.8319672,WRFChem MOSAiC run,Zenodo,2023,,Dataset,"Creative Commons Attribution 4.0 International,Open Access",WRFChem MOSAiC run - April 2020. From https://doi.org/10.1525/elementa.2022.00129,mds,True,findable,0,0,0,0,0,2023-09-05T16:33:07.000Z,2023-09-05T16:33:08.000Z,cern.zenodo,cern,,,,
+10.5281/zenodo.200198,Mpi Load Balancing Simulation Data Sets (Companion To Ipdps 2017),Zenodo,2016,,Dataset,"Creative Commons Attribution Share-Alike 4.0,Open Access","This package contains data sets and scripts (in an Org-mode file) related to our submission to IPDPS 2017, under the title ""Using Simulation to Evaluate and Tune the Performance of Dynamic Load Balancing of an Over-decomposed Geophysics Application"".
-Mandatory: cite the reference article and the DOI of the observatory
+The following contents are included:
- (1) Galle et al. (2018). AMMA-CATCH a Critical Zone Observatory in West Africa Monitoring a Region in Transition. Vadose Zone Journal, 17 (1), 18006.
- (2) AMMA-CATCH (1990). AMMA-CATCH : a hydrological, meteorological and ecological observatory on West Africa. IRD, CNRS-INSU, OSUG, OMP, OREME. doi:10.17178/AMMA-CATCH.all
-Optional: cite the DOI of each dataset used.
+ <em>IPDPS2017.org :</em> Org mode (Emacs) file containing the shell (Bash) and R scripts used to:
-Co-authorship: depending on the contribution of the data to the scientific results obtained, the authors should either propose co-authorship to the data providers or at least acknowledge their contribution.",Measure components of the local-scale energy budget. Obtain forcing and validation data for modeling of soil-vegetation-atmosphere exchanges in Sudanian climate. Contribute to the flux station network over the AMMA regional transect.,mds,True,findable,0,0,1,0,0,2018-03-16T15:36:52.000Z,2018-03-16T15:36:53.000Z,inist.osug,jbru,"Land surface exchange, energy budget, Sudanian vegetation, Sudanian hydrology,Sudanian climate,Wind Speed,Relative Humidity,Soil Moisture/Water Content at depth 10 cm (loc. a),Ventilated Air Temperature,Soil Temperature at depth X cm (loc. b),Outgoing Longwave Radiation,Standard Deviation of Wind Direction,Soil Moisture/Water Content at depth 50 cm (loc. a),Net Radiation,Air Temperature,Soil Temperature at depth 50 cm (loc. a),Wind Direction,Ventilated Relative Humidity,Outgoing Shortwave Radiation,Incoming Longwave Radiation,Incoming Shortwave Radiation,Air Pressure,Soil Temperature at depth 10 cm (loc. a)","[{'subject': 'Land surface exchange, energy budget, Sudanian vegetation, Sudanian hydrology', 'subjectScheme': 'main'}, {'subject': 'Sudanian climate', 'subjectScheme': 'main'}, {'subject': 'Wind Speed', 'subjectScheme': 'var'}, {'subject': 'Relative Humidity', 'subjectScheme': 'var'}, {'subject': 'Soil Moisture/Water Content at depth 10 cm (loc. a)', 'subjectScheme': 'var'}, {'subject': 'Ventilated Air Temperature', 'subjectScheme': 'var'}, {'subject': 'Soil Temperature at depth X cm (loc. b)', 'subjectScheme': 'var'}, {'subject': 'Outgoing Longwave Radiation', 'subjectScheme': 'var'}, {'subject': 'Standard Deviation of Wind Direction', 'subjectScheme': 'var'}, {'subject': 'Soil Moisture/Water Content at depth 50 cm (loc. a)', 'subjectScheme': 'var'}, {'subject': 'Net Radiation', 'subjectScheme': 'var'}, {'subject': 'Air Temperature', 'subjectScheme': 'var'}, {'subject': 'Soil Temperature at depth 50 cm (loc. a)', 'subjectScheme': 'var'}, {'subject': 'Wind Direction', 'subjectScheme': 'var'}, {'subject': 'Ventilated Relative Humidity', 'subjectScheme': 'var'}, {'subject': 'Outgoing Shortwave Radiation', 'subjectScheme': 'var'}, {'subject': 'Incoming Longwave Radiation', 'subjectScheme': 'var'}, {'subject': 'Incoming Shortwave Radiation', 'subjectScheme': 'var'}, {'subject': 'Air Pressure', 'subjectScheme': 'var'}, {'subject': 'Soil Temperature at depth 10 cm (loc. a)', 'subjectScheme': 'var'}]",,"['CSV', 'NETCDF', 'O&M 1.0']"
-10.17178/emaa_c(15n)_hyperfine_a1b197e3,Hyperfine excitation of C[15N] by para-H2 collisions,"UGA, CNRS, CNRS-INSU, OSUG",2021,en,Dataset,"Please acknowledge the use of EMAA Database by citing the original articles in which the data were published (BibTeX format available), and adding the following sentence in your publication:
-This research has made use of spectroscopic and collisional data from the EMAA database (https://emaa.osug.fr). EMAA is supported by the Observatoire des Sciences de l'Univers de Grenoble (OSUG),Creative Commons Attribution 4.0 International,Data access and use are ruled by the EMAA data policy.",34 hyperfine energy levels / 76 radiative transitions / 560 collisional transitions for para-H2 (25 temperatures in the range 5-150K),mds,True,findable,0,0,0,0,0,2021-11-18T13:34:37.000Z,2021-11-18T13:34:37.000Z,inist.osug,jbru,"target C[15N],excitationType Hyperfine,collisional excitation,collider.0 para-H2,astrophysics,interstellar medium,comets,circumstellar medium,gas,microwave spectroscopy,infrared spectroscopy,rotational excitation,rovibrational excitation,vibrational excitation,electronic excitation,collisional rate coefficients,fine structure,hyperfine structure","[{'subject': 'target C[15N]', 'subjectScheme': 'main'}, {'subject': 'excitationType Hyperfine', 'subjectScheme': 'main'}, {'subject': 'collisional excitation', 'subjectScheme': 'main'}, {'subject': 'collider.0 para-H2', 'subjectScheme': 'var'}, {'subject': 'astrophysics', 'subjectScheme': 'var'}, {'subject': 'interstellar medium', 'subjectScheme': 'var'}, {'subject': 'comets', 'subjectScheme': 'var'}, {'subject': 'circumstellar medium', 'subjectScheme': 'var'}, {'subject': 'gas', 'subjectScheme': 'var'}, {'subject': 'microwave spectroscopy', 'subjectScheme': 'var'}, {'subject': 'infrared spectroscopy', 'subjectScheme': 'var'}, {'subject': 'rotational excitation', 'subjectScheme': 'var'}, {'subject': 'rovibrational excitation', 'subjectScheme': 'var'}, {'subject': 'vibrational excitation', 'subjectScheme': 'var'}, {'subject': 'electronic excitation', 'subjectScheme': 'var'}, {'subject': 'collisional rate coefficients', 'subjectScheme': 'var'}, {'subject': 'fine structure', 'subjectScheme': 'var'}, {'subject': 'hyperfine structure', 'subjectScheme': 'var'}]",,['Radex']
-10.17178/draixbleone_gal_rob_sedpsd_0809,Particle size distributions of suspended sediments of the river Galabre at the Robine station of the Galabre watershed,IGE - CNRS - OSUG,2020,en,Dataset,"Always quote below citation to Grangeon et al. (2012) when using these data. Grangeon T., Legout C., Esteves M., Gratiot N., Navratil O. (2012). Variability of suspended particles size during highly concentrated flood events in a small mountainous catchment. Journal of Soils and Sediments. 12(10): 1549-1558.,Creative Commons Attribution 4.0 International,The following acknowledging sentence should appear in publications using data and products from the Galabre watershed of the Draix Bleone Observatory: ""DRAIX BLEONE is funded by the Institut National des Sciences de l’Univers (INSU/CNRS) and the Observatoire des Sciences de l’Univers de Grenoble (OSUG / Université Grenoble Alpes)â€.,Always quote below citation to Legout et al. (submitted) when using these data. Legout C., Freche G., Biron R., Esteves M., Nord G, Navratil O., Uber M., Grangeon T., Hachgenei N., Boudevillain B. Voiron C., Spadini L. A critical zone observatory dedicated to suspended sediment transport: the meso-scale Galabre catchment (southern French Alps), submitted to Hydrological Processes.",This particle size distribution of suspended sediments data set is part of the DRAIXBLEONE_GAL observatory.,mds,True,findable,0,0,0,0,0,2020-09-15T15:58:47.000Z,2020-09-15T15:58:48.000Z,inist.osug,jbru,"Mediterranean mountainous climate,Surface water,Sediments,Water quality / Water chemistry","[{'subject': 'Mediterranean mountainous climate', 'subjectScheme': 'main'}, {'subject': 'Surface water', 'subjectScheme': 'var'}, {'subject': 'Sediments', 'subjectScheme': 'var'}, {'subject': 'Water quality / Water chemistry', 'subjectScheme': 'var'}]",,['CSV']
-10.17178/amma-catch.ce.rain_nc_9004,"Precipitation dataset (5 minutes rainfall), for the 1990-2004 period over the Niamey square degree site (16 000 km2), Niger","IRD, CNRS-INSU, OSUG, OMP, OREME",1990,en,Dataset,"Creative Commons Attribution 4.0 International,Data access and use are ruled by the AMMA-CATCH data policy.,For any publication using AMMA-CATCH data, authors are asked to:
+
+ run the load balancing simulation;
+ process the traces of both real executions (Tau traces) and simulation (Pajé traces);
+ generate the graphics.
+
+
+ <em>lb_traces/:</em> this directory contains the raw traces from real executions and SMPI emulations of the Ondes3D application.
+ <em>processed_data/</em>: this directory contains the results of the processing of the traces in the form of CSV format data files which are be used to generate the graphics.
+ i<em>mg</em>/: this directory contains the generate graphics, in PNG format.",,True,findable,0,0,0,0,0,2016-12-13T12:25:44.000Z,2016-12-13T12:25:45.000Z,cern.zenodo,cern,"simulation,load balancing,SimGrid,Ondes3d,over decomposition,MPI","[{'subject': 'simulation'}, {'subject': 'load balancing'}, {'subject': 'SimGrid'}, {'subject': 'Ondes3d'}, {'subject': 'over decomposition'}, {'subject': 'MPI'}]",,
+10.5281/zenodo.3631244,"Data and figures used in ""Pressure torque of torsional Alfvén modes acting on an ellipsoidal mantle""",Zenodo,2020,,Dataset,"GNU General Public License v3.0 or later,Open Access","Data, plotting routines and analysis routines to reproduce all results from the article ""Pressure torque of torsional Alfvén modes acting on an ellipsoidal mantle"". The package uses the freely available code Mire.jl. <strong>Prerequisites</strong> Installed texlive, python/python3 with matplotlib >v2.1 for support of latest colormaps. A working Julia >v1.3. <br> <strong>Install</strong> Open the repository directory and run <pre><code class=""language-bash"">julia install_local.jl</code></pre> to install the package. <strong>Run</strong> To run the calculations and the plots you simply run <pre><code>using Elltorque Elltorque.run(true)</code></pre> <br> from within the Julia REPL (takes around 2-3h). To run without calculating the data use <pre><code>Elltorque.run(false)</code></pre>",mds,True,findable,0,0,0,0,0,2020-04-21T20:00:11.000Z,2020-04-21T20:00:12.000Z,cern.zenodo,cern,,,,
+10.48537/hal-03220342,Fear of the Unknown in Urban Atmospheres,Reseau International Ambiances,2020,en,Text,Creative Commons Attribution Non Commercial No Derivatives 2.0 Generic,"In today’s world of insecurity, we are feeling less and less secure in our urban environments. In recent years, there has been much focus on reducing crime rates and crime prevention. However, there are times when we feel unsafe in a place where there is no real threat. This will directly affect our cities and their atmospheres as one avoids places of insecurity. In this paper, by reviewing the exis- ting literature on actual safety and perceived safety, the perception of atmosphere, fear and fear of the unknown, we aim to suggest that it is fear of the unknown and the lack of sensory information as the mediums of atmospheres that can lead to the emotion of fear in an otherwise safe seeming place.",mds,True,findable,0,0,0,0,0,2021-06-17T10:18:09.000Z,2021-06-17T10:18:10.000Z,jbru.aau,jbru,"Ambiance,Perceived Safety,Urban Atmosphere,Fear of the Unknown,Fear","[{'lang': 'eng', 'subject': 'Ambiance'}, {'lang': 'eng', 'subject': 'Perceived Safety'}, {'lang': 'eng', 'subject': 'Urban Atmosphere'}, {'lang': 'eng', 'subject': 'Fear of the Unknown'}, {'lang': 'eng', 'subject': 'Fear'}]",['6 pages'],['application/pdf']
+10.6084/m9.figshare.21717750,Neuroblast Differentiation-Associated Protein Derived Polypeptides: AHNAK(5758-5775) Induces Inflammation by Activating Mast Cells via ST2,Taylor & Francis,2022,,Text,Creative Commons Attribution 4.0 International,"Psoriasis is a chronic inflammatory skin disease. Mast cells are significantly increased and activated in psoriatic lesions and are involved in psoriatic inflammation. Some endogenous substances can interact with the surface receptors of mast cells and initiate the release of downstream cytokines that participate in inflammatory reactions. Neuroblast differentiation-associated protein (AHNAK) is mainly expressed in the skin, esophagus, kidney, and other organs and participates in various biological processes in the human body. AHNAK and its derived peptides have been reported to be involved in the activation of mast cells and other immune processes. This study aimed to investigate whether AHNAK (5758–5775), a neuroblast differentiation-associated protein-derived polypeptide, could be considered a new endogenous substance in psoriasis patients, which activates mast cells and induces the skin inflammatory response contributing to psoriasis. Wild-type mice were treated with AHNAK(5758–5775) to observe the infiltration of inflammatory cells in the skin and cytokine release in vivo. The release of inflammatory mediators by mouse primary mast cells and the laboratory of allergic disease 2 (LAD2) human mast cells was measured in vitro. Molecular docking analysis, molecular dynamics simulation, and siRNA transfection were used to identify the receptor of AHNAK(5758–5775). AHNAK(5758–5775) could cause skin inflammation and cytokine release in wild-type mice and activated mast cells in vitro. Moreover, suppression of tumorigenicity 2 (ST2) might be a key receptor mediating AHNAK(5758–5775)’s effect on mast cells and cytokine release. We propose a novel polypeptide, AHNAK(5758–5775), which induces an inflammatory reaction and participates in the occurrence and development of psoriasis by activating mast cells.",mds,True,findable,0,0,0,0,0,2022-12-13T16:00:06.000Z,2022-12-13T16:00:06.000Z,figshare.ars,otjm,"Biochemistry,Medicine,Microbiology,FOS: Biological sciences,Cell Biology,Genetics,Physiology,39999 Chemical Sciences not elsewhere classified,FOS: Chemical sciences,Immunology,FOS: Clinical medicine,69999 Biological Sciences not elsewhere classified,Developmental Biology,Cancer,111714 Mental Health,FOS: Health sciences,Computational Biology","[{'subject': 'Biochemistry'}, {'subject': 'Medicine'}, {'subject': 'Microbiology'}, {'subject': 'FOS: Biological sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Cell Biology'}, {'subject': 'Genetics'}, {'subject': 'Physiology'}, {'subject': '39999 Chemical Sciences not elsewhere classified', 'schemeUri': 'http://www.abs.gov.au/ausstats/abs@.nsf/0/6BB427AB9696C225CA2574180004463E', 'subjectScheme': 'FOR'}, {'subject': 'FOS: Chemical sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Immunology'}, {'subject': 'FOS: Clinical medicine', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': '69999 Biological Sciences not elsewhere classified', 'schemeUri': 'http://www.abs.gov.au/ausstats/abs@.nsf/0/6BB427AB9696C225CA2574180004463E', 'subjectScheme': 'FOR'}, {'subject': 'Developmental Biology'}, {'subject': 'Cancer'}, {'subject': '111714 Mental Health', 'schemeUri': 'http://www.abs.gov.au/ausstats/abs@.nsf/0/6BB427AB9696C225CA2574180004463E', 'subjectScheme': 'FOR'}, {'subject': 'FOS: Health sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Computational Biology'}]",['264022 Bytes'],
+10.17178/emaa_so2_rotation_cdf6a320,Rotation excitation of SO2 by ortho-H2 and para-H2 collisions,"UGA, CNRS, CNRS-INSU, OSUG",2021,en,Dataset,"Please acknowledge the use of EMAA Database by citing the original articles in which the data were published (BibTeX format available), and adding the following sentence in your publication:
+This research has made use of spectroscopic and collisional data from the EMAA database (https://emaa.osug.fr). EMAA is supported by the Observatoire des Sciences de l'Univers de Grenoble (OSUG),Creative Commons Attribution 4.0 International,Data access and use are ruled by the EMAA data policy.",31 rotation energy levels / 74 radiative transitions / 465 collisional transitions for para-H2 (6 temperatures in the range 5-30K) / 465 collisional transitions for ortho-H2 (6 temperatures in the range 5-30K),mds,True,findable,0,0,0,0,0,2022-02-07T11:26:27.000Z,2022-02-07T11:26:28.000Z,inist.osug,jbru,"target SO2,excitationType Rotation,collisional excitation,collider.0 para-H2,collider.1 ortho-H2,astrophysics,interstellar medium,comets,circumstellar medium,gas,microwave spectroscopy,infrared spectroscopy,rotational excitation,rovibrational excitation,vibrational excitation,electronic excitation,collisional rate coefficients,fine structure,hyperfine structure","[{'subject': 'target SO2', 'subjectScheme': 'main'}, {'subject': 'excitationType Rotation', 'subjectScheme': 'main'}, {'subject': 'collisional excitation', 'subjectScheme': 'main'}, {'subject': 'collider.0 para-H2', 'subjectScheme': 'var'}, {'subject': 'collider.1 ortho-H2', 'subjectScheme': 'var'}, {'subject': 'astrophysics', 'subjectScheme': 'var'}, {'subject': 'interstellar medium', 'subjectScheme': 'var'}, {'subject': 'comets', 'subjectScheme': 'var'}, {'subject': 'circumstellar medium', 'subjectScheme': 'var'}, {'subject': 'gas', 'subjectScheme': 'var'}, {'subject': 'microwave spectroscopy', 'subjectScheme': 'var'}, {'subject': 'infrared spectroscopy', 'subjectScheme': 'var'}, {'subject': 'rotational excitation', 'subjectScheme': 'var'}, {'subject': 'rovibrational excitation', 'subjectScheme': 'var'}, {'subject': 'vibrational excitation', 'subjectScheme': 'var'}, {'subject': 'electronic excitation', 'subjectScheme': 'var'}, {'subject': 'collisional rate coefficients', 'subjectScheme': 'var'}, {'subject': 'fine structure', 'subjectScheme': 'var'}, {'subject': 'hyperfine structure', 'subjectScheme': 'var'}]",,['Radex']
+10.5281/zenodo.7387170,Satellite-derived melt assimilation MAR simulations over the Antarctic Peninsula daily data,Zenodo,2022,,Dataset,"Creative Commons Attribution 4.0 International,Open Access","The Modèle Atmosphérique Régionale (MAR), is a regional climate model designed to simulate poles' climate. here is provided a data set of MAR simulations in which microwave sensor date have been assimilated. The files contain snow and athmosphere related variables over the Antarctic Peninsula for the 2019-2020 period. MAR is a polar-oriented regional climate model mostly used to study both the Greenland and Antarctic ice sheet. Its atmospheric dynamics are based on hydrostatic approximation of primitive equations originally described in Gallée and Schayes (1994) and on a radiative transfer scheme adapted from Morcrette (2002). The model has been parameterized to resolve the topmost 20 meters of the snowpack, divided into 30 layers of time varying thickness. Layers maximum water content holding capacity is fixed at 5%. Beyond it, the water freely percolates through the snowpack or runoffs above impermeable layers. For this work, MARv3.12 was run at a 7.5 km resolution over the Antarctic Peninsula March 2017 and May 2021. Snowpack was initialized in 2017 with a previous MAR simulation (Kittel et al., 2021). Finally, the simulations with assimilation were started in January 2019, restarting from the simulation without assimilation. Simulation for the 2020-2021 season are available on demand. Contact tdethinne@uliege.be",mds,True,findable,0,0,0,0,0,2022-12-02T10:30:49.000Z,2022-12-02T10:30:50.000Z,cern.zenodo,cern,,,,
+10.17178/gnss.products.epos.2019,GNSS position and velocity solutions calculated in the framework of the EPOS initiative with IGS final products,"CNRS, OSUG, ISTERRE",2019,en,Dataset,"License: CC BY-NC-ND 4.0,Data access and use are ruled by the OSUG data policy.,The following acknowledging sentence should appear in publications using ISTerre GNSS products: ""GNSS products are calculated and provided by the Institut of Sciences de la Terre (ISTerre), belonging to the Institut National des Sciences de l’Univers (INSU/CNRS) and the Observatoire des Sciences de l’Univers de Grenoble (OSUG / Université Grenoble Alpes)"".
+You are invited to contact the PI(s) or lead scientist for more information about the data and to include the acknowledgement sentence in any publication using the data.","This dataset include all GNSS solutions processed by ISTerre with IGS final products in the framework of the EPOS initiative. These products are position time series (North, East and Vertical) and the horizontal and vertical velocity fields calculated from rinex files using the double difference method with GAMIT software. These products are updated every day.",mds,True,findable,0,0,0,0,0,2019-11-08T14:59:31.000Z,2019-11-08T14:59:31.000Z,inist.osug,jbru,"GNSS products,Velocity field,GNSS data analysis,Time serie positioning","[{'subject': 'GNSS products', 'subjectScheme': 'main'}, {'subject': 'Velocity field', 'subjectScheme': 'var'}, {'subject': 'GNSS data analysis', 'subjectScheme': 'var'}, {'subject': 'Time serie positioning', 'subjectScheme': 'var'}]",,"['sinex', 'pos', 'PBO']"
+10.5281/zenodo.3257654,Microscopy image sequences and annotated kymographs of laser ablation experiments in Drosophila embryos,Zenodo,2019,en,Dataset,"Creative Commons Attribution Non Commercial Share Alike 4.0 International,Open Access","<strong>Content</strong>
-Mandatory: cite the reference article and the DOI of the observatory
+This dataset contains 15 2D time-lapse fluorescence microscopy image sequences recorded with confocal laser-scanning microscopy. Each movie shows an epithelial tissue laser nanoablation experiment conducted in a Drosophila embryo.
- (1) Galle et al. (2018). AMMA-CATCH a Critical Zone Observatory in West Africa Monitoring a Region in Transition. Vadose Zone Journal, 17 (1), 18006.
- (2) AMMA-CATCH (1990). AMMA-CATCH : a hydrological, meteorological and ecological observatory on West Africa. IRD, CNRS-INSU, OSUG, OMP, OREME. doi:10.17178/AMMA-CATCH.all
+For each sequence, the dataset contains kymographs (one-dimensional space-time plots) of a supracellular cable that is cut during the ablation, and manually created tracks of visible features, such as the resulting cut ends. These tracks allow to estimate, for instance, recoil velocities of the cut tissue and may be used to evaluate automated methods for estimating said velocities.
-Optional: cite the DOI of each dataset used.
+This dataset is used in the manuscript to evaluate various variational approaches for joint motion estimation and source identification:
-Co-authorship: depending on the contribution of the data to the scientific results obtained, the authors should either propose co-authorship to the data providers or at least acknowledge their contribution.","Documentation of rainfall in the Sahelian zone. The aim is to characterize the temporal and spatial variability of rainfall down to the local scale, where process studies are carried on. Data is used in hydrological modelling and process studies.",mds,True,findable,0,0,1,1,0,2018-03-16T15:36:59.000Z,2018-03-16T15:37:00.000Z,inist.osug,jbru,"Rainfall, precipitation, tropical convection,Sahelian climate,Precipitation Amount (previous 5 minutes),Precipitation Amount (previous hour),Precipitation Amount (previous 24 hours)","[{'subject': 'Rainfall, precipitation, tropical convection', 'subjectScheme': 'main'}, {'subject': 'Sahelian climate', 'subjectScheme': 'main'}, {'subject': 'Precipitation Amount (previous 5 minutes)', 'subjectScheme': 'var'}, {'subject': 'Precipitation Amount (previous hour)', 'subjectScheme': 'var'}, {'subject': 'Precipitation Amount (previous 24 hours)', 'subjectScheme': 'var'}]",,"['CSV', 'NETCDF', 'O&M 1.0']"
-10.17178/cryobsclim.clb.all,Cryobs-Clim-CLB / Col du Lac Blanc : a meteorological and blowing snow observatory,CNRS - OSUG - Meteo France - Irstea,2000,en,Dataset,"Data access and use are ruled by the CRYOBS-CLIM data policy.,Always quote below citation to Guyomarch et al. (2019) when using data.
-G. Guyomarc'h, H. bellot, V. Vionnet, F. Naaim-Bouvet, Y. Deliot, F. Fontaine, P. Pugliese, M. Naaim, K. Nishimura, A meteorological and blowing snow data set (2000-2016) from a high altitude alpine site (Col du Lac Blanc, France, 2720 m a.s.l), Earth System Science Data, 11(2019), 57-69, https://doi.org/10.5194/essd-11-57-2019. The following acknowledging sentence should appear in publications using Cryobs-Clim-CLB data and products: ""Cryobs-Clim Col du Lac Blanc is funded by Meteo France, Irstea, the Institut National des Sciences de l’Univers (INSU/CNRS), and the Observatoire des Sciences de l’Univers de Grenoble (OSUG / Université Grenoble Alpes)â€. You are invited to contact the PI(s) or lead scientist for more information about the data and to include the acknowledgement sentence in any publication using the data.","The Col du Lac Blanc observatory is located near l'Alpe d'Huez resort in the Grandes-Rousses massif and is dedicated to study interactions between the cryosphere and the atmosphere at high altitude, with a focus on blowing and drifting snow studies. The site is managed by Météo-France (CNRM/CEN) and IRSTEA (Université Grenoble Alpes). It comprises four stations: Lac Blanc (CRYOBSCLIM.CLB.LACBLANC), La Muzelle (CRYOBSCLIM.CLB.LAMUZELLE), Dome (CRYOBSCLIM.CLB.DOME) and Col (CRYOBSCLIM.CLB.COL). This data is complemented by dataset containing information on hourly blowing snow occurrence relying on an empirical method at Col du Lac Blanc (CRYOBSCLIM.CLB.BSO) and continuous hourly meteorological output of the SAFRAN meteorological analysis system (CRYOBSCLIM.CLB.SAFRAN).The Digital Elevation Model of the study area (1,5 km²) at 1-m resolution is also provided in RGF 93 Lambert 93 coordinates (CRYOBSCLIM.CLB.DEM). The pass orientation and the specific configuration of the surrounding summits make it closely resemble a natural wind tunnel. The north–south direction accounts for 90% of the wind directions. Aeolian snow transport is observed 10% of the time in winter and occurs with concurrent snowfall 37% of the time (Vionnet et al. 2013). The experimental site and related instrumentation are described in details in Guyomarc’h et al. (2018). Available data acquired during winter seasons include wind speed and direction, drifting snow fluxes, snow height, air temperature. Humidity, precipitation, incoming shortwave and longwave radiation from reanalysis are also included. Data have been used to evaluate and develop physical parameterizations of blowing and drifting snow in alpine terrain. Snowpack models and atmospheric models simulating wind-induced snow transport have also been evaluated at this site. Finally, Col du Lac Blanc is a target site to evaluate Numerical Weather Prediction (NWP) models in alpine terrain. Cryobs-Clim-CLB is a Cryonet site of Global Cryosphere Watch (WMO), a member of the International Network for Alpine Research Catchment Hydrology (INARCH) and a part of OZCAR Infrastructure.",mds,True,findable,0,0,1,0,0,2018-04-09T10:16:33.000Z,2018-04-09T10:16:34.000Z,inist.osug,jbru,"Alpine climate,Meteorology,Blowing snow,Snowpack","[{'subject': 'Alpine climate', 'subjectScheme': 'main'}, {'subject': 'Meteorology', 'subjectScheme': 'var'}, {'subject': 'Blowing snow', 'subjectScheme': 'var'}, {'subject': 'Snowpack', 'subjectScheme': 'var'}]",,['CSV']
-10.17178/ohmcv.dsd.vb2.11-14.1,"DSD network, Villeneuve-de-Berg-2",CNRS - OSUG - OREME,2011,en,Dataset,"Data access and use are ruled by the OHMCV data policy.,The following acknowledging sentence should appear in publications using OHMCV data and products: ""OHMCV is funded by the Institut National des Sciences de l’Univers (INSU/CNRS) and the Observatoire des Sciences de l’Univers de Grenoble (OSUG / Université Grenoble Alpes)â€.",This dataset is part of the Cevennesâ€Vivarais Mediterranean Hydrometeorological Observatory (OHMCV),mds,True,findable,0,0,1,1,0,2017-03-10T17:09:23.000Z,2017-03-10T17:09:24.000Z,inist.osug,jbru,"Atmospheric conditions,Precipitation Amount,Precipitation Rate,Droplet Size,DISDROMETERS,Ground networks,Hydrometeorological sites,Fixed Observation Stations","[{'subject': 'Atmospheric conditions', 'subjectScheme': 'main'}, {'subject': 'Precipitation Amount', 'subjectScheme': 'main'}, {'subject': 'Precipitation Rate', 'subjectScheme': 'main'}, {'subject': 'Droplet Size', 'subjectScheme': 'main'}, {'subject': 'DISDROMETERS', 'subjectScheme': 'main'}, {'subject': 'Ground networks', 'subjectScheme': 'main'}, {'subject': 'Hydrometeorological sites', 'subjectScheme': 'main'}, {'subject': 'Fixed Observation Stations', 'subjectScheme': 'main'}]",,['NETCDF']
-10.17178/amma-catch.ce.run_ncw,"Surface water dataset (river discharge), within the Wankama watershed (1 km2), Niger","IRD, CNRS-INSU, OSUG, OMP, OREME",2004,en,Dataset,"Creative Commons Attribution 4.0 International,Data access and use are ruled by the AMMA-CATCH data policy.,For any publication using AMMA-CATCH data, authors are asked to:
+L. F. Lang, N. Dutta, E. Scarpa, B. Sanson, C.-B. Schönlieb, and J. Étienne. Joint Motion Estimation and Source Identification using Convective Regularisation with an Application to the Analysis of Laser Nanoablations. 2019.
-Mandatory: cite the reference article and the DOI of the observatory
+<strong>Description</strong>
- (1) Galle et al. (2018). AMMA-CATCH a Critical Zone Observatory in West Africa Monitoring a Region in Transition. Vadose Zone Journal, 17 (1), 18006.
- (2) AMMA-CATCH (1990). AMMA-CATCH : a hydrological, meteorological and ecological observatory on West Africa. IRD, CNRS-INSU, OSUG, OMP, OREME. doi:10.17178/AMMA-CATCH.all
+The movies depict a square region of approximately \(42.2 \times 42.2 \, \mathrm{\mu m}^{2}\) at a spatial resolution of \(250 \times 250\) pixels. A typical sequence contains between 60 and 100 frames. They temporal interval between recorded frames was \(727.67 \, \mathrm{ms}\).
-Optional: cite the DOI of each dataset used.
+Each sequence features cell membranes labelled with E-cadherin:GFP and shows a single plasma-induced laser nanoablation. The destructed tissue region is roughly of \(2 \, \mathrm{\mu m}\) length. This ablation is expected to have a width of the order of the size of one pixel. During the ablation the acquisition is paused, resulting in a black image.
-Co-authorship: depending on the contribution of the data to the scientific results obtained, the authors should either propose co-authorship to the data providers or at least acknowledge their contribution.","Documentating of water levels in the koris (temporary creeks), in order to control the runoff in the catchments. Devices are disposed on the same creek to determine possible infiltration areas in their bed.",mds,True,findable,0,0,1,0,0,2018-03-16T15:37:01.000Z,2018-03-16T15:37:01.000Z,inist.osug,jbru,"Discharge,Sahelian climate,Discharge/Flow","[{'subject': 'Discharge', 'subjectScheme': 'main'}, {'subject': 'Sahelian climate', 'subjectScheme': 'main'}, {'subject': 'Discharge/Flow', 'subjectScheme': 'var'}]",,"['CSV', 'NETCDF', 'O&M 1.0']"
-10.17178/amma-catch.pa.h2oflux_snnr,"Surface flux dataset (including meteorological data, surface energy, water vapor, and carbon fluxes) in the Niakhar site (Ragola station), Senegal","IRD, CNRS-INSU, OSUG, OMP, OREME",2018,en,Dataset,"Creative Commons Attribution 4.0 International,Data access and use are ruled by the AMMA-CATCH data policy.,For any publication using AMMA-CATCH data, authors are asked to:
+For the used microscopy techniques and for the preparation of flies, as well as for the details of the laser ablation method, see the paper:
-Mandatory: cite the reference article and the DOI of the observatory
+E. Scarpa, C. Finet, G. B. Blanchard, and B. Sanson. Actomyosin-driven tension at compartmental boundaries orients cell division independently of cell geometry In Vivo. Dev. Cell, 47(6):727–740.e6, December 2018. URL: https://doi.org/10.1016/j.devcel.2018.10.029
- (1) Galle et al. (2018). AMMA-CATCH a Critical Zone Observatory in West Africa Monitoring a Region in Transition. Vadose Zone Journal, 17 (1), 18006.
- (2) AMMA-CATCH (1990). AMMA-CATCH : a hydrological, meteorological and ecological observatory on West Africa. IRD, CNRS-INSU, OSUG, OMP, OREME. doi:10.17178/AMMA-CATCH.all
+The kymographs and the manually created annotations (tracks) of features were created using Fiji (https://fiji.sc/).
-Optional: cite the DOI of each dataset used.
+<strong>Content</strong>
-Co-authorship: depending on the contribution of the data to the scientific results obtained, the authors should either propose co-authorship to the data providers or at least acknowledge their contribution.",Measure components of the local-scale energy budget. Obtain forcing and validation data for modeling of soil-vegetation-atmosphere exchanges in Sahel. Contribute to the flux station network over the AMMA regional transect.,mds,True,findable,0,0,1,0,0,2021-11-15T12:53:45.000Z,2021-11-15T12:53:46.000Z,inist.osug,jbru,"Land surface exchange, water budget, energy budget, sahelian vegetation, evapo-transpiration, sahelian hydrology,Sahelian climate,Wind Speed,Sensible Heat Flux,Carbon Dioxide Flux,Latent Heat Flux,Wind Direction","[{'subject': 'Land surface exchange, water budget, energy budget, sahelian vegetation, evapo-transpiration, sahelian hydrology', 'subjectScheme': 'main'}, {'subject': 'Sahelian climate', 'subjectScheme': 'main'}, {'subject': 'Wind Speed', 'subjectScheme': 'var'}, {'subject': 'Sensible Heat Flux', 'subjectScheme': 'var'}, {'subject': 'Carbon Dioxide Flux', 'subjectScheme': 'var'}, {'subject': 'Latent Heat Flux', 'subjectScheme': 'var'}, {'subject': 'Wind Direction', 'subjectScheme': 'var'}]",,"['CSV', 'NETCDF', 'O&M 1.0']"
-10.17178/emaa_ortho-nhd2_rotation_a29be09d,Rotation excitation of ortho-NHD2 by para-H2 collisions,"UGA, CNRS, CNRS-INSU, OSUG",2021,en,Dataset,"Please acknowledge the use of EMAA Database by citing the original articles in which the data were published (BibTeX format available), and adding the following sentence in your publication:
-This research has made use of spectroscopic and collisional data from the EMAA database (https://emaa.osug.fr). EMAA is supported by the Observatoire des Sciences de l'Univers de Grenoble (OSUG),Creative Commons Attribution 4.0 International,Data access and use are ruled by the EMAA data policy.",16 rotation energy levels / 48 radiative transitions / 120 collisional transitions for para-H2 (10 temperatures in the range 5-50K),mds,True,findable,0,0,0,0,0,2021-11-17T14:01:58.000Z,2021-11-17T14:02:00.000Z,inist.osug,jbru,"target ortho-NHD2,excitationType Rotation,collisional excitation,collider.0 para-H2,astrophysics,interstellar medium,comets,circumstellar medium,gas,microwave spectroscopy,infrared spectroscopy,rotational excitation,rovibrational excitation,vibrational excitation,electronic excitation,collisional rate coefficients,fine structure,hyperfine structure","[{'subject': 'target ortho-NHD2', 'subjectScheme': 'main'}, {'subject': 'excitationType Rotation', 'subjectScheme': 'main'}, {'subject': 'collisional excitation', 'subjectScheme': 'main'}, {'subject': 'collider.0 para-H2', 'subjectScheme': 'var'}, {'subject': 'astrophysics', 'subjectScheme': 'var'}, {'subject': 'interstellar medium', 'subjectScheme': 'var'}, {'subject': 'comets', 'subjectScheme': 'var'}, {'subject': 'circumstellar medium', 'subjectScheme': 'var'}, {'subject': 'gas', 'subjectScheme': 'var'}, {'subject': 'microwave spectroscopy', 'subjectScheme': 'var'}, {'subject': 'infrared spectroscopy', 'subjectScheme': 'var'}, {'subject': 'rotational excitation', 'subjectScheme': 'var'}, {'subject': 'rovibrational excitation', 'subjectScheme': 'var'}, {'subject': 'vibrational excitation', 'subjectScheme': 'var'}, {'subject': 'electronic excitation', 'subjectScheme': 'var'}, {'subject': 'collisional rate coefficients', 'subjectScheme': 'var'}, {'subject': 'fine structure', 'subjectScheme': 'var'}, {'subject': 'hyperfine structure', 'subjectScheme': 'var'}]",,['Radex']
-10.17178/emaa_ortho-nh2d_hyperfine_0ead32a0,Hyperfine excitation of ortho-NH2D by para-H2 collisions,"UGA, CNRS, CNRS-INSU, OSUG",2021,en,Dataset,"Please acknowledge the use of EMAA Database by citing the original articles in which the data were published (BibTeX format available), and adding the following sentence in your publication:
-This research has made use of spectroscopic and collisional data from the EMAA database (https://emaa.osug.fr). EMAA is supported by the Observatoire des Sciences de l'Univers de Grenoble (OSUG),Creative Commons Attribution 4.0 International,Data access and use are ruled by the EMAA data policy.",25 hyperfine energy levels / 90 radiative transitions / 276 collisional transitions for para-H2 (7 temperatures in the range 5-50K),mds,True,findable,0,0,0,0,0,2021-11-17T14:01:43.000Z,2021-11-17T14:01:45.000Z,inist.osug,jbru,"target ortho-NH2D,excitationType Hyperfine,collisional excitation,collider.0 para-H2,astrophysics,interstellar medium,comets,circumstellar medium,gas,microwave spectroscopy,infrared spectroscopy,rotational excitation,rovibrational excitation,vibrational excitation,electronic excitation,collisional rate coefficients,fine structure,hyperfine structure","[{'subject': 'target ortho-NH2D', 'subjectScheme': 'main'}, {'subject': 'excitationType Hyperfine', 'subjectScheme': 'main'}, {'subject': 'collisional excitation', 'subjectScheme': 'main'}, {'subject': 'collider.0 para-H2', 'subjectScheme': 'var'}, {'subject': 'astrophysics', 'subjectScheme': 'var'}, {'subject': 'interstellar medium', 'subjectScheme': 'var'}, {'subject': 'comets', 'subjectScheme': 'var'}, {'subject': 'circumstellar medium', 'subjectScheme': 'var'}, {'subject': 'gas', 'subjectScheme': 'var'}, {'subject': 'microwave spectroscopy', 'subjectScheme': 'var'}, {'subject': 'infrared spectroscopy', 'subjectScheme': 'var'}, {'subject': 'rotational excitation', 'subjectScheme': 'var'}, {'subject': 'rovibrational excitation', 'subjectScheme': 'var'}, {'subject': 'vibrational excitation', 'subjectScheme': 'var'}, {'subject': 'electronic excitation', 'subjectScheme': 'var'}, {'subject': 'collisional rate coefficients', 'subjectScheme': 'var'}, {'subject': 'fine structure', 'subjectScheme': 'var'}, {'subject': 'hyperfine structure', 'subjectScheme': 'var'}]",,['Radex']
-10.17178/amma-catch.al.met_g,"Meteorological dataset (including radiative budget and soil variables), within the Gourma site (30 000 km2), Mali","IRD, CNRS-INSU, OSUG, OMP, OREME",2005,en,Dataset,"Creative Commons Attribution 4.0 International,Data access and use are ruled by the AMMA-CATCH data policy.,For any publication using AMMA-CATCH data, authors are asked to:
+The dataset contains 15 sequences placed in the following folder structure:
-Mandatory: cite the reference article and the DOI of the observatory
- (1) Galle et al. (2018). AMMA-CATCH a Critical Zone Observatory in West Africa Monitoring a Region in Transition. Vadose Zone Journal, 17 (1), 18006.
- (2) AMMA-CATCH (1990). AMMA-CATCH : a hydrological, meteorological and ecological observatory on West Africa. IRD, CNRS-INSU, OSUG, OMP, OREME. doi:10.17178/AMMA-CATCH.all
+ SqAX3_SqhGFP42_GAP43_TM6B
+
+ 190216E4PSB1
+ 190216E5PSB1
+ 190216E5PSB2
+ 190216E6PSB1
+ 190216E8PSB1
+ E2PSB1
+ E5PSB2
+ E8PSB1
+ PSB1E1
+ PSB4
+
+
+ SqhGFP40
+
+ e1_PSB8
+ e3_PSB9
+ e3_PSB10
+ e4_PSB11
+ e4_PSB12
+
+
-Optional: cite the DOI of each dataset used.
-Co-authorship: depending on the contribution of the data to the scientific results obtained, the authors should either propose co-authorship to the data providers or at least acknowledge their contribution.","Documentation of micro-meteorological parameters in the sahelian and saharo-sahelian regions. Characterization of the spatial variability of the meteorological variables within the Gourma meso scale site and, in combination with flux measurements, of the soil-vegetation-atmosphere transferts. Data will be used in modelling activities as well as for validation of satellite products.",mds,True,findable,0,0,1,0,0,2018-03-16T15:36:54.000Z,2018-03-16T15:36:54.000Z,inist.osug,jbru,"Radiative balance, PAR, IRT, micrometeorology,Sahelian/Saharan climate,Wind Speed,Diffuse Photosynthetically Active Radiation,Wind Direction,Air Pressure,Soil Heat Flux at depth 5 cm,Air Temperature,Soil Heat Flux at depth 30 cm (2),Relative Humidity,Soil Heat Flux at depth 10 cm,Outgoing Shortwave Radiation,Global Photosynthetically Active Radiation,Outgoing Longwave Radiation,Soil Heat Flux at depth 10 cm (2),Land Surface Temperature,Soil Heat Flux at depth 30 cm,Precipitation Amount,Incoming Shortwave Radiation,Soil Heat Flux at depth 5 cm (2),Incoming Longwave Radiation","[{'subject': 'Radiative balance, PAR, IRT, micrometeorology', 'subjectScheme': 'main'}, {'subject': 'Sahelian/Saharan climate', 'subjectScheme': 'main'}, {'subject': 'Wind Speed', 'subjectScheme': 'var'}, {'subject': 'Diffuse Photosynthetically Active Radiation', 'subjectScheme': 'var'}, {'subject': 'Wind Direction', 'subjectScheme': 'var'}, {'subject': 'Air Pressure', 'subjectScheme': 'var'}, {'subject': 'Soil Heat Flux at depth 5 cm', 'subjectScheme': 'var'}, {'subject': 'Air Temperature', 'subjectScheme': 'var'}, {'subject': 'Soil Heat Flux at depth 30 cm (2)', 'subjectScheme': 'var'}, {'subject': 'Relative Humidity', 'subjectScheme': 'var'}, {'subject': 'Soil Heat Flux at depth 10 cm', 'subjectScheme': 'var'}, {'subject': 'Outgoing Shortwave Radiation', 'subjectScheme': 'var'}, {'subject': 'Global Photosynthetically Active Radiation', 'subjectScheme': 'var'}, {'subject': 'Outgoing Longwave Radiation', 'subjectScheme': 'var'}, {'subject': 'Soil Heat Flux at depth 10 cm (2)', 'subjectScheme': 'var'}, {'subject': 'Land Surface Temperature', 'subjectScheme': 'var'}, {'subject': 'Soil Heat Flux at depth 30 cm', 'subjectScheme': 'var'}, {'subject': 'Precipitation Amount', 'subjectScheme': 'var'}, {'subject': 'Incoming Shortwave Radiation', 'subjectScheme': 'var'}, {'subject': 'Soil Heat Flux at depth 5 cm (2)', 'subjectScheme': 'var'}, {'subject': 'Incoming Longwave Radiation', 'subjectScheme': 'var'}]",,"['CSV', 'NETCDF', 'O&M 1.0']"
-10.17178/erosion_model.2020,Modeled contributions of sediment sources to total suspended sediment flux in two mesoscale catchments,UGA,2020,en,Dataset,"Creative Commons Attribution 4.0 International,Data access and use are ruled by the CC-BY 4.0 license.","The application enables to show the contribution of erosion zones that act as sediment sources to total suspended sediment load in percent simulated with the IBER soil erosion model. Model output can be visualized for two mesoscale Mediterranean catchments in southeastern France, the 42 km2 Claduègne catchment and the 20 km2 Galabre catchment and for different sets of scenarios: (i) CDA threshold: The threshold of contributing drainage area (CDA) defines the length of the river network. Values were varied from 15 ha to 500 ha. (ii) Manning's n: river: Manning's roughness parameter in the river network. Values were varied from 0.025 to 0.1. (iii) Manning's n: hillslopes: Manning's roughness parameter on the hillslopes. Values were varied from 0.2 to 0.8. (iv) Source classification: Source classification based on connectivity, i.e. sediment sources were subdivided based on their distance to the outlet and their distance to the river. In addition to the modeled source contributions the time series of rainfall intensity, liquid and solid discharge can be displayed.",mds,True,findable,0,0,0,0,0,2020-07-22T14:26:36.000Z,2020-07-22T14:26:37.000Z,inist.osug,jbru,erosion model,"[{'subject': 'erosion model', 'subjectScheme': 'main'}]",,"['.rep', '.R']"
-10.17178/emaa_ortho-h2(13c)o_rotation_e08b64e2,Rotation excitation of ortho-H2[13C]O by ortho-H2 and para-H2 collisions,"UGA, CNRS, CNRS-INSU, OSUG",2021,en,Dataset,"Please acknowledge the use of EMAA Database by citing the original articles in which the data were published (BibTeX format available), and adding the following sentence in your publication:
-This research has made use of spectroscopic and collisional data from the EMAA database (https://emaa.osug.fr). EMAA is supported by the Observatoire des Sciences de l'Univers de Grenoble (OSUG),Creative Commons Attribution 4.0 International,Data access and use are ruled by the EMAA data policy.",17 rotation energy levels / 27 radiative transitions / 136 collisional transitions for ortho-H2 (21 temperatures in the range 10-300K) / 136 collisional transitions for para-H2 (21 temperatures in the range 10-300K),mds,True,findable,0,0,0,0,0,2021-11-18T13:35:34.000Z,2021-11-18T13:35:35.000Z,inist.osug,jbru,"target ortho-H2[13C]O,excitationType Rotation,collisional excitation,collider.0 ortho-H2,collider.1 para-H2,astrophysics,interstellar medium,comets,circumstellar medium,gas,microwave spectroscopy,infrared spectroscopy,rotational excitation,rovibrational excitation,vibrational excitation,electronic excitation,collisional rate coefficients,fine structure,hyperfine structure","[{'subject': 'target ortho-H2[13C]O', 'subjectScheme': 'main'}, {'subject': 'excitationType Rotation', 'subjectScheme': 'main'}, {'subject': 'collisional excitation', 'subjectScheme': 'main'}, {'subject': 'collider.0 ortho-H2', 'subjectScheme': 'var'}, {'subject': 'collider.1 para-H2', 'subjectScheme': 'var'}, {'subject': 'astrophysics', 'subjectScheme': 'var'}, {'subject': 'interstellar medium', 'subjectScheme': 'var'}, {'subject': 'comets', 'subjectScheme': 'var'}, {'subject': 'circumstellar medium', 'subjectScheme': 'var'}, {'subject': 'gas', 'subjectScheme': 'var'}, {'subject': 'microwave spectroscopy', 'subjectScheme': 'var'}, {'subject': 'infrared spectroscopy', 'subjectScheme': 'var'}, {'subject': 'rotational excitation', 'subjectScheme': 'var'}, {'subject': 'rovibrational excitation', 'subjectScheme': 'var'}, {'subject': 'vibrational excitation', 'subjectScheme': 'var'}, {'subject': 'electronic excitation', 'subjectScheme': 'var'}, {'subject': 'collisional rate coefficients', 'subjectScheme': 'var'}, {'subject': 'fine structure', 'subjectScheme': 'var'}, {'subject': 'hyperfine structure', 'subjectScheme': 'var'}]",,['Radex']
-10.17178/emaa_(13c)o_rotation_922483ff,"Rotation excitation of [13C]O by CO, ortho-H2, ortho-H2O, para-H2 and para-H2O collisions","UGA, CNRS, CNRS-INSU, OSUG",2023,en,Dataset,"Please acknowledge the use of EMAA Database by citing the original articles in which the data were published (BibTeX format available), and adding the following sentence in your publication:
-This research has made use of spectroscopic and collisional data from the EMAA database (https://emaa.osug.fr). EMAA is supported by the Observatoire des Sciences de l'Univers de Grenoble (OSUG),Creative Commons Attribution 4.0 International,Data access and use are ruled by the EMAA data policy.",14 rotation energy levels / 13 radiative transitions / 91 collisional transitions for para-H2 (11 temperatures in the range 5-400K) / 91 collisional transitions for ortho-H2 (11 temperatures in the range 5-400K) / 55 collisional transitions for para-H2O (20 temperatures in the range 5-100K) / 55 collisional transitions for ortho-H2O (20 temperatures in the range 5-100K) / 55 collisional transitions for CO (15 temperatures in the range 10-150K),mds,True,findable,0,0,0,0,0,2023-12-07T15:50:25.000Z,2023-12-07T15:50:25.000Z,inist.osug,jbru,"target [13C]O,excitationType Rotation,collisional excitation,collider.0 para-H2,collider.1 ortho-H2,collider.2 para-H2O,collider.3 ortho-H2O,collider.4 CO,astrophysics,interstellar medium,comets,circumstellar medium,gas,microwave spectroscopy,infrared spectroscopy,rotational excitation,rovibrational excitation,vibrational excitation,electronic excitation,collisional rate coefficients,fine structure,hyperfine structure","[{'subject': 'target [13C]O', 'subjectScheme': 'main'}, {'subject': 'excitationType Rotation', 'subjectScheme': 'main'}, {'subject': 'collisional excitation', 'subjectScheme': 'main'}, {'subject': 'collider.0 para-H2', 'subjectScheme': 'var'}, {'subject': 'collider.1 ortho-H2', 'subjectScheme': 'var'}, {'subject': 'collider.2 para-H2O', 'subjectScheme': 'var'}, {'subject': 'collider.3 ortho-H2O', 'subjectScheme': 'var'}, {'subject': 'collider.4 CO', 'subjectScheme': 'var'}, {'subject': 'astrophysics', 'subjectScheme': 'var'}, {'subject': 'interstellar medium', 'subjectScheme': 'var'}, {'subject': 'comets', 'subjectScheme': 'var'}, {'subject': 'circumstellar medium', 'subjectScheme': 'var'}, {'subject': 'gas', 'subjectScheme': 'var'}, {'subject': 'microwave spectroscopy', 'subjectScheme': 'var'}, {'subject': 'infrared spectroscopy', 'subjectScheme': 'var'}, {'subject': 'rotational excitation', 'subjectScheme': 'var'}, {'subject': 'rovibrational excitation', 'subjectScheme': 'var'}, {'subject': 'vibrational excitation', 'subjectScheme': 'var'}, {'subject': 'electronic excitation', 'subjectScheme': 'var'}, {'subject': 'collisional rate coefficients', 'subjectScheme': 'var'}, {'subject': 'fine structure', 'subjectScheme': 'var'}, {'subject': 'hyperfine structure', 'subjectScheme': 'var'}]",,['Radex']
-10.17178/emaa_para-nhd2_hyperfine_3bc12b4c,Hyperfine excitation of para-NHD2 by para-H2 collisions,"UGA, CNRS, CNRS-INSU, OSUG",2021,en,Dataset,"Please acknowledge the use of EMAA Database by citing the original articles in which the data were published (BibTeX format available), and adding the following sentence in your publication:
-This research has made use of spectroscopic and collisional data from the EMAA database (https://emaa.osug.fr). EMAA is supported by the Observatoire des Sciences de l'Univers de Grenoble (OSUG),Creative Commons Attribution 4.0 International,Data access and use are ruled by the EMAA data policy.",46 hyperfine energy levels / 273 radiative transitions / 990 collisional transitions for para-H2 (10 temperatures in the range 5-50K),mds,True,findable,0,0,0,0,0,2021-11-17T14:02:20.000Z,2021-11-17T14:02:22.000Z,inist.osug,jbru,"target para-NHD2,excitationType Hyperfine,collisional excitation,collider.0 para-H2,astrophysics,interstellar medium,comets,circumstellar medium,gas,microwave spectroscopy,infrared spectroscopy,rotational excitation,rovibrational excitation,vibrational excitation,electronic excitation,collisional rate coefficients,fine structure,hyperfine structure","[{'subject': 'target para-NHD2', 'subjectScheme': 'main'}, {'subject': 'excitationType Hyperfine', 'subjectScheme': 'main'}, {'subject': 'collisional excitation', 'subjectScheme': 'main'}, {'subject': 'collider.0 para-H2', 'subjectScheme': 'var'}, {'subject': 'astrophysics', 'subjectScheme': 'var'}, {'subject': 'interstellar medium', 'subjectScheme': 'var'}, {'subject': 'comets', 'subjectScheme': 'var'}, {'subject': 'circumstellar medium', 'subjectScheme': 'var'}, {'subject': 'gas', 'subjectScheme': 'var'}, {'subject': 'microwave spectroscopy', 'subjectScheme': 'var'}, {'subject': 'infrared spectroscopy', 'subjectScheme': 'var'}, {'subject': 'rotational excitation', 'subjectScheme': 'var'}, {'subject': 'rovibrational excitation', 'subjectScheme': 'var'}, {'subject': 'vibrational excitation', 'subjectScheme': 'var'}, {'subject': 'electronic excitation', 'subjectScheme': 'var'}, {'subject': 'collisional rate coefficients', 'subjectScheme': 'var'}, {'subject': 'fine structure', 'subjectScheme': 'var'}, {'subject': 'hyperfine structure', 'subjectScheme': 'var'}]",,['Radex']
-10.17178/emaa_hnc3_rotation_96dd18c8,Rotation excitation of HNC3 by ortho-H2 and para-H2 collisions,"UGA, CNRS, CNRS-INSU, OSUG",2021,en,Dataset,"Please acknowledge the use of EMAA Database by citing the original articles in which the data were published (BibTeX format available), and adding the following sentence in your publication:
-This research has made use of spectroscopic and collisional data from the EMAA database (https://emaa.osug.fr). EMAA is supported by the Observatoire des Sciences de l'Univers de Grenoble (OSUG),Creative Commons Attribution 4.0 International,Data access and use are ruled by the EMAA data policy.",31 rotation energy levels / 30 radiative transitions / 465 collisional transitions for para-H2 (10 temperatures in the range 5-80K) / 465 collisional transitions for ortho-H2 (10 temperatures in the range 5-80K),mds,True,findable,0,0,0,0,0,2021-11-17T14:01:09.000Z,2021-11-17T14:01:10.000Z,inist.osug,jbru,"target HNC3,excitationType Rotation,collisional excitation,collider.0 para-H2,collider.1 ortho-H2,astrophysics,interstellar medium,comets,circumstellar medium,gas,microwave spectroscopy,infrared spectroscopy,rotational excitation,rovibrational excitation,vibrational excitation,electronic excitation,collisional rate coefficients,fine structure,hyperfine structure","[{'subject': 'target HNC3', 'subjectScheme': 'main'}, {'subject': 'excitationType Rotation', 'subjectScheme': 'main'}, {'subject': 'collisional excitation', 'subjectScheme': 'main'}, {'subject': 'collider.0 para-H2', 'subjectScheme': 'var'}, {'subject': 'collider.1 ortho-H2', 'subjectScheme': 'var'}, {'subject': 'astrophysics', 'subjectScheme': 'var'}, {'subject': 'interstellar medium', 'subjectScheme': 'var'}, {'subject': 'comets', 'subjectScheme': 'var'}, {'subject': 'circumstellar medium', 'subjectScheme': 'var'}, {'subject': 'gas', 'subjectScheme': 'var'}, {'subject': 'microwave spectroscopy', 'subjectScheme': 'var'}, {'subject': 'infrared spectroscopy', 'subjectScheme': 'var'}, {'subject': 'rotational excitation', 'subjectScheme': 'var'}, {'subject': 'rovibrational excitation', 'subjectScheme': 'var'}, {'subject': 'vibrational excitation', 'subjectScheme': 'var'}, {'subject': 'electronic excitation', 'subjectScheme': 'var'}, {'subject': 'collisional rate coefficients', 'subjectScheme': 'var'}, {'subject': 'fine structure', 'subjectScheme': 'var'}, {'subject': 'hyperfine structure', 'subjectScheme': 'var'}]",,['Radex']
-10.17178/emaa_para-h2(34s)_rotation_52d67276,Rotation excitation of para-H2[34S] by ortho-H2 and para-H2 collisions,"UGA, CNRS, CNRS-INSU, OSUG",2022,en,Dataset,"Please acknowledge the use of EMAA Database by citing the original articles in which the data were published (BibTeX format available), and adding the following sentence in your publication:
-This research has made use of spectroscopic and collisional data from the EMAA database (https://emaa.osug.fr). EMAA is supported by the Observatoire des Sciences de l'Univers de Grenoble (OSUG),Creative Commons Attribution 4.0 International,Data access and use are ruled by the EMAA data policy.",19 rotation energy levels / 44 radiative transitions / 171 collisional transitions for ortho-H2 (10 temperatures in the range 5-500K) / 171 collisional transitions for para-H2 (10 temperatures in the range 5-500K),mds,True,findable,0,0,0,0,0,2023-12-07T15:52:12.000Z,2023-12-07T15:52:13.000Z,inist.osug,jbru,"target para-H2[34S],excitationType Rotation,collisional excitation,collider.0 ortho-H2,collider.1 para-H2,astrophysics,interstellar medium,comets,circumstellar medium,gas,microwave spectroscopy,infrared spectroscopy,rotational excitation,rovibrational excitation,vibrational excitation,electronic excitation,collisional rate coefficients,fine structure,hyperfine structure","[{'subject': 'target para-H2[34S]', 'subjectScheme': 'main'}, {'subject': 'excitationType Rotation', 'subjectScheme': 'main'}, {'subject': 'collisional excitation', 'subjectScheme': 'main'}, {'subject': 'collider.0 ortho-H2', 'subjectScheme': 'var'}, {'subject': 'collider.1 para-H2', 'subjectScheme': 'var'}, {'subject': 'astrophysics', 'subjectScheme': 'var'}, {'subject': 'interstellar medium', 'subjectScheme': 'var'}, {'subject': 'comets', 'subjectScheme': 'var'}, {'subject': 'circumstellar medium', 'subjectScheme': 'var'}, {'subject': 'gas', 'subjectScheme': 'var'}, {'subject': 'microwave spectroscopy', 'subjectScheme': 'var'}, {'subject': 'infrared spectroscopy', 'subjectScheme': 'var'}, {'subject': 'rotational excitation', 'subjectScheme': 'var'}, {'subject': 'rovibrational excitation', 'subjectScheme': 'var'}, {'subject': 'vibrational excitation', 'subjectScheme': 'var'}, {'subject': 'electronic excitation', 'subjectScheme': 'var'}, {'subject': 'collisional rate coefficients', 'subjectScheme': 'var'}, {'subject': 'fine structure', 'subjectScheme': 'var'}, {'subject': 'hyperfine structure', 'subjectScheme': 'var'}]",,['Radex']
-10.17178/draixbleone_gal_rob_ssc_0719,Suspended Sediment Concentration of the river Galabre at the Robine station of the Galabre watershed,IGE - CNRS - OSUG,2020,en,Dataset,"Always quote below citation to Navratil et al. (2011) when using these data. Navratil O., Esteves M., Legout C., Gratiot N., Némery J., Willmore S., Grangeon T. (2011). Global uncertainty analysis of suspended sediment monitoring using turbidimeter in a small mountainous river catchment. Journal of Hydrology. 398: 246-259.,Creative Commons Attribution 4.0 International,The following acknowledging sentence should appear in publications using data and products from the Galabre watershed of the Draix Bleone Observatory: ""DRAIX BLEONE is funded by the Institut National des Sciences de l’Univers (INSU/CNRS) and the Observatoire des Sciences de l’Univers de Grenoble (OSUG / Université Grenoble Alpes)â€.,Always quote below citation to Legout et al. (submitted) when using these data. Legout C., Freche G., Biron R., Esteves M., Nord G, Navratil O., Uber M., Grangeon T., Hachgenei N., Boudevillain B. Voiron C., Spadini L. A critical zone observatory dedicated to suspended sediment transport: the meso-scale Galabre catchment (southern French Alps), submitted to Hydrological Processes.",This suspended sediment concentration data set is part of the DRAIXBLEONE_GAL observatory.,mds,True,findable,0,0,0,0,0,2020-09-15T15:58:50.000Z,2020-09-15T15:58:52.000Z,inist.osug,jbru,"Mediterranean mountainous climate,Surface water,Sediments,Water quality / Water chemistry","[{'subject': 'Mediterranean mountainous climate', 'subjectScheme': 'main'}, {'subject': 'Surface water', 'subjectScheme': 'var'}, {'subject': 'Sediments', 'subjectScheme': 'var'}, {'subject': 'Water quality / Water chemistry', 'subjectScheme': 'var'}]",,['CSV']
-10.17178/draixbleone_gal_rob_sedsource_0719,Contribution of source soils to Suspended Sediment Concentration of the river Galabre at the Robine station of the Galabre watershed,IGE - CNRS - OSUG,2020,en,Dataset,"Always quote below citation to Legout et al. (2013) when using these data. Legout C., Poulenard J., Nemery J., Navratil O., Grangeon T., Evrard O., Esteves M. (2013). Quantifying suspended sediment sources during floods in headwater catchments by spectrocolorimetry. Journal of Soils and Sediments. 8: 1478-1492.,Creative Commons Attribution 4.0 International,The following acknowledging sentence should appear in publications using data and products from the Galabre watershed of the Draix Bleone Observatory: ""DRAIX BLEONE is funded by the Institut National des Sciences de l’Univers (INSU/CNRS) and the Observatoire des Sciences de l’Univers de Grenoble (OSUG / Université Grenoble Alpes)â€.,Always quote below citation to Legout et al. (submitted) when using these data. Legout C., Freche G., Biron R., Esteves M., Nord G, Navratil O., Uber M., Grangeon T., Hachgenei N., Boudevillain B. Voiron C., Spadini L. A critical zone observatory dedicated to suspended sediment transport: the meso-scale Galabre catchment (southern French Alps), submitted to Hydrological Processes.",This source contribution to suspended sediment concentration data set is part of the DRAIXBLEONE_GAL observatory.,mds,True,findable,0,0,0,0,0,2020-09-15T15:58:48.000Z,2020-09-15T15:58:50.000Z,inist.osug,jbru,"Mediterranean mountainous climate,Surface water,Sediments,Soils,Water quality / Water chemistry","[{'subject': 'Mediterranean mountainous climate', 'subjectScheme': 'main'}, {'subject': 'Surface water', 'subjectScheme': 'var'}, {'subject': 'Sediments', 'subjectScheme': 'var'}, {'subject': 'Soils', 'subjectScheme': 'var'}, {'subject': 'Water quality / Water chemistry', 'subjectScheme': 'var'}]",,['CSV']
-10.17178/ohmcv.dsd.vb1.12-16.1,"DSD network, Villeneuve-de-Berg-1",CNRS - OSUG - OREME,2011,en,Dataset,"Data access and use are ruled by the OHMCV data policy.,The following acknowledging sentence should appear in publications using OHMCV data and products: ""OHMCV is funded by the Institut National des Sciences de l’Univers (INSU/CNRS) and the Observatoire des Sciences de l’Univers de Grenoble (OSUG / Université Grenoble Alpes)â€.",This dataset is part of the Cevennesâ€Vivarais Mediterranean Hydrometeorological Observatory (OHMCV),mds,True,findable,0,0,2,0,0,2017-10-17T13:24:23.000Z,2017-10-17T13:24:24.000Z,inist.osug,jbru,"Atmospheric conditions,Precipitation Rate,Droplet Size,DISDROMETERS,Ground networks,Hydrometeorological sites,Fixed Observation Stations","[{'subject': 'Atmospheric conditions', 'subjectScheme': 'main'}, {'subject': 'Precipitation Rate', 'subjectScheme': 'main'}, {'subject': 'Droplet Size', 'subjectScheme': 'main'}, {'subject': 'DISDROMETERS', 'subjectScheme': 'main'}, {'subject': 'Ground networks', 'subjectScheme': 'main'}, {'subject': 'Hydrometeorological sites', 'subjectScheme': 'main'}, {'subject': 'Fixed Observation Stations', 'subjectScheme': 'main'}]",,['NETCDF']
-10.17178/ohmcv.dsd.sef.12-14.1,"DSD network, Saint-Etienne-de-Fontbellon",CNRS - OSUG - OREME,2012,en,Dataset,"Data access and use are ruled by the OHMCV data policy.,The following acknowledging sentence should appear in publications using OHMCV data and products: ""OHMCV is funded by the Institut National des Sciences de l’Univers (INSU/CNRS) and the Observatoire des Sciences de l’Univers de Grenoble (OSUG / Université Grenoble Alpes)â€.",This dataset is part of the Cevennesâ€Vivarais Mediterranean Hydrometeorological Observatory (OHMCV),mds,True,findable,0,0,1,1,0,2017-03-10T17:09:21.000Z,2017-03-10T17:09:22.000Z,inist.osug,jbru,"Atmospheric conditions,Precipitation Rate,Droplet Size,DISDROMETERS,Ground networks,Hydrometeorological sites,Fixed Observation Stations","[{'subject': 'Atmospheric conditions', 'subjectScheme': 'main'}, {'subject': 'Precipitation Rate', 'subjectScheme': 'main'}, {'subject': 'Droplet Size', 'subjectScheme': 'main'}, {'subject': 'DISDROMETERS', 'subjectScheme': 'main'}, {'subject': 'Ground networks', 'subjectScheme': 'main'}, {'subject': 'Hydrometeorological sites', 'subjectScheme': 'main'}, {'subject': 'Fixed Observation Stations', 'subjectScheme': 'main'}]",,['NETCDF']
-10.17178/ohmcv.dsd.mre.12-14.1,"DSD network, Mont-Redon",CNRS - OSUG - OREME,2011,en,Dataset,"Data access and use are ruled by the OHMCV data policy.,The following acknowledging sentence should appear in publications using OHMCV data and products: ""OHMCV is funded by the Institut National des Sciences de l’Univers (INSU/CNRS) and the Observatoire des Sciences de l’Univers de Grenoble (OSUG / Université Grenoble Alpes)â€.",This dataset is part of the Cevennesâ€Vivarais Mediterranean Hydrometeorological Observatory (OHMCV),mds,True,findable,0,0,1,1,0,2017-03-10T17:09:19.000Z,2017-03-10T17:09:20.000Z,inist.osug,jbru,"Atmospheric conditions,Precipitation,Precipitation Rate,Droplet Size,DISDROMETERS,Ground networks,Hydrometeorological sites,Fixed Observation Stations","[{'subject': 'Atmospheric conditions', 'subjectScheme': 'main'}, {'subject': 'Precipitation', 'subjectScheme': 'main'}, {'subject': 'Precipitation Rate', 'subjectScheme': 'main'}, {'subject': 'Droplet Size', 'subjectScheme': 'main'}, {'subject': 'DISDROMETERS', 'subjectScheme': 'main'}, {'subject': 'Ground networks', 'subjectScheme': 'main'}, {'subject': 'Hydrometeorological sites', 'subjectScheme': 'main'}, {'subject': 'Fixed Observation Stations', 'subjectScheme': 'main'}]",,['NETCDF']
-10.17178/emaa_ortho-nh3_rotation_331d9739,"Rotation excitation of ortho-NH3 by H, ortho-H2 and para-H2 collisions","UGA, CNRS, CNRS-INSU, OSUG",2021,en,Dataset,"Please acknowledge the use of EMAA Database by citing the original articles in which the data were published (BibTeX format available), and adding the following sentence in your publication:
-This research has made use of spectroscopic and collisional data from the EMAA database (https://emaa.osug.fr). EMAA is supported by the Observatoire des Sciences de l'Univers de Grenoble (OSUG),Creative Commons Attribution 4.0 International,Data access and use are ruled by the EMAA data policy.",17 rotation energy levels / 25 radiative transitions / 136 collisional transitions for H (20 temperatures in the range 10-200K) / 136 collisional transitions for ortho-H2 (20 temperatures in the range 10-200K) / 136 collisional transitions for para-H2 (20 temperatures in the range 10-200K),mds,True,findable,0,0,0,0,0,2023-12-07T15:51:56.000Z,2023-12-07T15:51:57.000Z,inist.osug,jbru,"target ortho-NH3,excitationType Rotation,collisional excitation,collider.0 H,collider.1 ortho-H2,collider.2 para-H2,astrophysics,interstellar medium,comets,circumstellar medium,gas,microwave spectroscopy,infrared spectroscopy,rotational excitation,rovibrational excitation,vibrational excitation,electronic excitation,collisional rate coefficients,fine structure,hyperfine structure","[{'subject': 'target ortho-NH3', 'subjectScheme': 'main'}, {'subject': 'excitationType Rotation', 'subjectScheme': 'main'}, {'subject': 'collisional excitation', 'subjectScheme': 'main'}, {'subject': 'collider.0 H', 'subjectScheme': 'var'}, {'subject': 'collider.1 ortho-H2', 'subjectScheme': 'var'}, {'subject': 'collider.2 para-H2', 'subjectScheme': 'var'}, {'subject': 'astrophysics', 'subjectScheme': 'var'}, {'subject': 'interstellar medium', 'subjectScheme': 'var'}, {'subject': 'comets', 'subjectScheme': 'var'}, {'subject': 'circumstellar medium', 'subjectScheme': 'var'}, {'subject': 'gas', 'subjectScheme': 'var'}, {'subject': 'microwave spectroscopy', 'subjectScheme': 'var'}, {'subject': 'infrared spectroscopy', 'subjectScheme': 'var'}, {'subject': 'rotational excitation', 'subjectScheme': 'var'}, {'subject': 'rovibrational excitation', 'subjectScheme': 'var'}, {'subject': 'vibrational excitation', 'subjectScheme': 'var'}, {'subject': 'electronic excitation', 'subjectScheme': 'var'}, {'subject': 'collisional rate coefficients', 'subjectScheme': 'var'}, {'subject': 'fine structure', 'subjectScheme': 'var'}, {'subject': 'hyperfine structure', 'subjectScheme': 'var'}]",,['Radex']
-10.17178/amma-catch.cl.rain_o,"Precipitation dataset (5 minutes rainfall), 30 long-term stations over the upper Oueme watershed (14 000 km2), Benin","IRD, CNRS-INSU, OSUG, OMP, OREME",1999,en,Dataset,"Creative Commons Attribution 4.0 International,Data access and use are ruled by the AMMA-CATCH data policy.,For any publication using AMMA-CATCH data, authors are asked to:
+Each folder contains:
-Mandatory: cite the reference article and the DOI of the observatory
- (1) Galle et al. (2018). AMMA-CATCH a Critical Zone Observatory in West Africa Monitoring a Region in Transition. Vadose Zone Journal, 17 (1), 18006.
- (2) AMMA-CATCH (1990). AMMA-CATCH : a hydrological, meteorological and ecological observatory on West Africa. IRD, CNRS-INSU, OSUG, OMP, OREME. doi:10.17178/AMMA-CATCH.all
+ The sequence itself in TIF format, e.g. ""190216E4PSB1PMT - PMT [560-] _C1.ome.tif"".
+ A file ""reslice.roi"" that indicates the location/direction of the cut supracellular cable.
+ 3 different kymographs for each sequence obtained by taking avg/max/sum projections in Fiji orthogonal to the line specified in ""reslice.roi"", e.g.
+
+ ""AVG_Reslice of 190216E4PSB1PMT.tif"",
+ ""MAX_Reslice of 190216E4PSB1PMT.tif"",
+ ""SUM_Reslice of 190216E4PSB1PMT.tif"".
+
+
+ Text files that state the time/space coordinates of manually tracked features in the kymographs, e.g.
+
+ ""cutend_L.txt"" (coordinates of the left cut end after the ablation),
+ ""cutend_R.txt"" (coordiantes of the right cut end),
+ ""feat_X.txt"" (coordinates of additional features, where X is a number and L or R).
+
+
+ A ZIP file ""manual_ROIs.zip"" that contains all the coordinates of tracked features of the kymograph in ROI format (e.g. ""cutend_L.roi"").
+
-Optional: cite the DOI of each dataset used.
+<strong>Usage</strong>
-Co-authorship: depending on the contribution of the data to the scientific results obtained, the authors should either propose co-authorship to the data providers or at least acknowledge their contribution.","Documentation of rainfall in the soudanian zone. The aim is to characterize the temporal and spatial variability of rainfall at meso-scale, with a good resolution of the convective scale patterns. Data is used in modelling and assimilation activities, process studies as well as for validation of satellite products.",mds,True,findable,0,0,1,0,0,2018-03-16T15:37:15.000Z,2018-03-16T15:37:16.000Z,inist.osug,jbru,"Rainfall, precipitation, tropical convection,Sudanian climate,Precipitation Amount (previous hour),Precipitation Amount (previous 5 minutes),Precipitation Amount (previous 24 hours)","[{'subject': 'Rainfall, precipitation, tropical convection', 'subjectScheme': 'main'}, {'subject': 'Sudanian climate', 'subjectScheme': 'main'}, {'subject': 'Precipitation Amount (previous hour)', 'subjectScheme': 'var'}, {'subject': 'Precipitation Amount (previous 5 minutes)', 'subjectScheme': 'var'}, {'subject': 'Precipitation Amount (previous 24 hours)', 'subjectScheme': 'var'}]",,"['CSV', 'NETCDF', 'O&M 1.0']"
-10.17178/emaa_ortho-nd3_rotation_84ab10a1,Rotation excitation of ortho-ND3 by para-H2 collisions,"UGA, CNRS, CNRS-INSU, OSUG",2021,en,Dataset,"Please acknowledge the use of EMAA Database by citing the original articles in which the data were published (BibTeX format available), and adding the following sentence in your publication:
-This research has made use of spectroscopic and collisional data from the EMAA database (https://emaa.osug.fr). EMAA is supported by the Observatoire des Sciences de l'Univers de Grenoble (OSUG),Creative Commons Attribution 4.0 International,Data access and use are ruled by the EMAA data policy.",16 rotation energy levels / 18 radiative transitions / 120 collisional transitions for para-H2 (8 temperatures in the range 5-40K),mds,True,findable,0,0,0,0,0,2021-11-17T14:01:40.000Z,2021-11-17T14:01:42.000Z,inist.osug,jbru,"target ortho-ND3,excitationType Rotation,collisional excitation,collider.0 para-H2,astrophysics,interstellar medium,comets,circumstellar medium,gas,microwave spectroscopy,infrared spectroscopy,rotational excitation,rovibrational excitation,vibrational excitation,electronic excitation,collisional rate coefficients,fine structure,hyperfine structure","[{'subject': 'target ortho-ND3', 'subjectScheme': 'main'}, {'subject': 'excitationType Rotation', 'subjectScheme': 'main'}, {'subject': 'collisional excitation', 'subjectScheme': 'main'}, {'subject': 'collider.0 para-H2', 'subjectScheme': 'var'}, {'subject': 'astrophysics', 'subjectScheme': 'var'}, {'subject': 'interstellar medium', 'subjectScheme': 'var'}, {'subject': 'comets', 'subjectScheme': 'var'}, {'subject': 'circumstellar medium', 'subjectScheme': 'var'}, {'subject': 'gas', 'subjectScheme': 'var'}, {'subject': 'microwave spectroscopy', 'subjectScheme': 'var'}, {'subject': 'infrared spectroscopy', 'subjectScheme': 'var'}, {'subject': 'rotational excitation', 'subjectScheme': 'var'}, {'subject': 'rovibrational excitation', 'subjectScheme': 'var'}, {'subject': 'vibrational excitation', 'subjectScheme': 'var'}, {'subject': 'electronic excitation', 'subjectScheme': 'var'}, {'subject': 'collisional rate coefficients', 'subjectScheme': 'var'}, {'subject': 'fine structure', 'subjectScheme': 'var'}, {'subject': 'hyperfine structure', 'subjectScheme': 'var'}]",,['Radex']
-10.17178/emaa_so_fine_e3d652e7,Fine excitation of SO by para-H2 collisions,"UGA, CNRS, CNRS-INSU, OSUG",2023,en,Dataset,"Please acknowledge the use of EMAA Database by citing the original articles in which the data were published (BibTeX format available), and adding the following sentence in your publication:
-This research has made use of spectroscopic and collisional data from the EMAA database (https://emaa.osug.fr). EMAA is supported by the Observatoire des Sciences de l'Univers de Grenoble (OSUG),Creative Commons Attribution 4.0 International,Data access and use are ruled by the EMAA data policy.",31 fine energy levels / 101 radiative transitions / 465 collisional transitions for para-H2 (10 temperatures in the range 5-50K),mds,True,findable,0,0,0,0,0,2023-12-07T15:52:32.000Z,2023-12-07T15:52:32.000Z,inist.osug,jbru,"target SO,excitationType Fine,collisional excitation,collider.0 para-H2,astrophysics,interstellar medium,comets,circumstellar medium,gas,microwave spectroscopy,infrared spectroscopy,rotational excitation,rovibrational excitation,vibrational excitation,electronic excitation,collisional rate coefficients,fine structure,hyperfine structure","[{'subject': 'target SO', 'subjectScheme': 'main'}, {'subject': 'excitationType Fine', 'subjectScheme': 'main'}, {'subject': 'collisional excitation', 'subjectScheme': 'main'}, {'subject': 'collider.0 para-H2', 'subjectScheme': 'var'}, {'subject': 'astrophysics', 'subjectScheme': 'var'}, {'subject': 'interstellar medium', 'subjectScheme': 'var'}, {'subject': 'comets', 'subjectScheme': 'var'}, {'subject': 'circumstellar medium', 'subjectScheme': 'var'}, {'subject': 'gas', 'subjectScheme': 'var'}, {'subject': 'microwave spectroscopy', 'subjectScheme': 'var'}, {'subject': 'infrared spectroscopy', 'subjectScheme': 'var'}, {'subject': 'rotational excitation', 'subjectScheme': 'var'}, {'subject': 'rovibrational excitation', 'subjectScheme': 'var'}, {'subject': 'vibrational excitation', 'subjectScheme': 'var'}, {'subject': 'electronic excitation', 'subjectScheme': 'var'}, {'subject': 'collisional rate coefficients', 'subjectScheme': 'var'}, {'subject': 'fine structure', 'subjectScheme': 'var'}, {'subject': 'hyperfine structure', 'subjectScheme': 'var'}]",,['Radex']
-10.17178/amma-catch.cl.pond_nc,"Surface water dataset (pond water level), within the Fakara site (2 000 km2), Niger","IRD, CNRS-INSU, OSUG, OMP, OREME",2003,en,Dataset,"Creative Commons Attribution 4.0 International,Data access and use are ruled by the AMMA-CATCH data policy.,For any publication using AMMA-CATCH data, authors are asked to:
+The sequences, kymographs, and the tracks can be viewed using, for example, Fiji.
-Mandatory: cite the reference article and the DOI of the observatory
+For the automated analysis, see the Python code that accompanies the manuscript above. It is available at https://dx.doi.org/XXX
- (1) Galle et al. (2018). AMMA-CATCH a Critical Zone Observatory in West Africa Monitoring a Region in Transition. Vadose Zone Journal, 17 (1), 18006.
- (2) AMMA-CATCH (1990). AMMA-CATCH : a hydrological, meteorological and ecological observatory on West Africa. IRD, CNRS-INSU, OSUG, OMP, OREME. doi:10.17178/AMMA-CATCH.all
+<strong>License information</strong>
-Optional: cite the DOI of each dataset used.
+This dataset is released under Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License. See CC BY-NA-SC 4.0.
-Co-authorship: depending on the contribution of the data to the scientific results obtained, the authors should either propose co-authorship to the data providers or at least acknowledge their contribution.",Knowledge of long-term changes in surface water - groundwater recharge processes in response to environmental changes and inter-annual rainfall variability.,mds,True,findable,0,0,1,0,0,2018-03-16T15:37:11.000Z,2018-03-16T15:37:11.000Z,inist.osug,jbru,"Water balance, limnimetry, pond,Sahelian climate,Water Level (from reading sensor),Water Level","[{'subject': 'Water balance, limnimetry, pond', 'subjectScheme': 'main'}, {'subject': 'Sahelian climate', 'subjectScheme': 'main'}, {'subject': 'Water Level (from reading sensor)', 'subjectScheme': 'var'}, {'subject': 'Water Level', 'subjectScheme': 'var'}]",,"['CSV', 'NETCDF', 'O&M 1.0']"
-10.17178/amma-catch.cl.rain_od,"Precipitation dataset (5 minutes rainfall), over the Donga watershed (600 km2), Benin","IRD, CNRS-INSU, OSUG, OMP, OREME",1999,en,Dataset,"Creative Commons Attribution 4.0 International,Data access and use are ruled by the AMMA-CATCH data policy.,For any publication using AMMA-CATCH data, authors are asked to:
+<strong>How to cite this dataset</strong>
-Mandatory: cite the reference article and the DOI of the observatory
+If you use this dataset in an academic publication, please consider citing the paper:
- (1) Galle et al. (2018). AMMA-CATCH a Critical Zone Observatory in West Africa Monitoring a Region in Transition. Vadose Zone Journal, 17 (1), 18006.
- (2) AMMA-CATCH (1990). AMMA-CATCH : a hydrological, meteorological and ecological observatory on West Africa. IRD, CNRS-INSU, OSUG, OMP, OREME. doi:10.17178/AMMA-CATCH.all
+L. F. Lang, N. Dutta, E. Scarpa, B. Sanson, C.-B. Schönlieb, and J. Étienne. Joint Motion Estimation and Source Identification using Convective Regularisation with an Application to the Analysis of Laser Nanoablations. 2019.
-Optional: cite the DOI of each dataset used.
+To cite solely the dataset, please use:
-Co-authorship: depending on the contribution of the data to the scientific results obtained, the authors should either propose co-authorship to the data providers or at least acknowledge their contribution.","Documentation of rainfall in the soudanian zone. The aim is to characterize the temporal and spatial variability of rainfall down to the local scale, in some sub-areas of the Oueme basin where process studies are carried on. Data is used in modelling and process studies.",mds,True,findable,0,0,1,0,0,2018-03-16T15:37:16.000Z,2018-03-16T15:37:16.000Z,inist.osug,jbru,"Rainfall, precipitation, tropical convection,Sudanian climate,Precipitation Amount (previous 5 minutes),Precipitation Amount (previous 24 hours),Precipitation Amount (previous hour)","[{'subject': 'Rainfall, precipitation, tropical convection', 'subjectScheme': 'main'}, {'subject': 'Sudanian climate', 'subjectScheme': 'main'}, {'subject': 'Precipitation Amount (previous 5 minutes)', 'subjectScheme': 'var'}, {'subject': 'Precipitation Amount (previous 24 hours)', 'subjectScheme': 'var'}, {'subject': 'Precipitation Amount (previous hour)', 'subjectScheme': 'var'}]",,"['CSV', 'NETCDF', 'O&M 1.0']"
-10.17178/amma-catch.cl.run_od,"Surface water dataset (river discharge), within the Donga watershed (600 km2), Benin","IRD, CNRS-INSU, OSUG, OMP, OREME",1997,en,Dataset,"Creative Commons Attribution 4.0 International,Data access and use are ruled by the AMMA-CATCH data policy.,For any publication using AMMA-CATCH data, authors are asked to:
+L. F. Lang, N. Dutta, E. Scarpa, B. Sanson, C.-B. Schönlieb, and J. Étienne. (2019). Microscopy image sequences and annotated kymographs of laser ablation experiments in Drosophila embryos [Data set]. Zenodo. http://doi.org/10.5281/zenodo.3257654",mds,True,findable,0,0,0,0,0,2019-06-30T16:48:56.000Z,2019-06-30T16:48:57.000Z,cern.zenodo,cern,"Drosophila,cell membrane,laser ablation,microscopy,image sequence,tracking,kymograph","[{'subject': 'Drosophila'}, {'subject': 'cell membrane'}, {'subject': 'laser ablation'}, {'subject': 'microscopy'}, {'subject': 'image sequence'}, {'subject': 'tracking'}, {'subject': 'kymograph'}]",,
+10.5281/zenodo.3872130,Raw diffraction data for [NiFeSe] hydrogenase pressurized with O2 gas - dataset wtO2,Zenodo,2020,,Dataset,"Creative Commons Attribution 4.0 International,Embargoed Access","Diffraction data measured at ESRF beamline ID29 on October 2, 2017. Image files are uploaded in blocks of gzip-compressed cbf files.",mds,True,findable,0,0,0,0,0,2020-06-01T20:15:39.000Z,2020-06-01T20:15:40.000Z,cern.zenodo,cern,"Hydrogenase,Selenium,gas channels,high-pressure derivatization","[{'subject': 'Hydrogenase'}, {'subject': 'Selenium'}, {'subject': 'gas channels'}, {'subject': 'high-pressure derivatization'}]",,
+10.17178/cryobsclim.cdp.2018,Cryobs-Clim-CDP / Col de Porte : a meterological and snow observatory,CNRS - OSUG - Meteo France,2018,en,Dataset,"Data access and use are ruled by the CRYOBS-CLIM data policy.,Always quote below citation to Lejeune et al. (2019) when using data.
+ Lejeune, Y., Dumont, M., Panel J.-M., Lafaysse, M., Lapalus, P., Le Gac, E., Lesaffre, B. and Morin, S., 57 years (1960-2017) of snow and meteorological observations from a mid-altitude mountain site (Col de Porte, France, 1325 m alt.), Earth System Science Data, 11(2019), 71-88, https://doi.org/10.5194/essd-11-71-2019. The following acknowledging sentence should appear in publications using Cryobs-Clim-CDP data and products: ""Cryobs-Clim Col de Porte is funded by Meteo France, the Institut National des Sciences de l’Univers (INSU/CNRS), and the Observatoire des Sciences de l’Univers de Grenoble (OSUG / Université Grenoble Alpes)â€. You are invited to contact the PI(s) or lead scientist for more information about the data and to include the acknowledgement sentence in any publication using the data.","The Col de Porte observatory is located near Grenoble in Chartreuse massif and is dedicated to study interactions between the cryosphere and the atmosphere at medium altitude. The site is managed by Météo-France (CNRM/CEN).The experimental site and related instrumentation are described in details in Morin et al., 2012 and Lejeune et al. (2018). Hourly meteorological data from in situ measurements (CRYOBSCLIM.CDP.2018.MetInsitu) and from meteorological reanalysis (CRYOBSCLIM.CDP.2018.MetSafran) are provided along with measured snow properties (CRYOBSCLIM.CDP.2018.HourlySnow) and snow profiles (CRYOBSCLIM.CDP.2018.SnowProfile) and measured solar radiation masks (CRYOBSCLIM.CDP.2018.SolarMask) and soil properties (CRYOBSCLIM.CDP.2018.Soil). The daily snow and meteorological dataset covers the 1960-2017 period (CRYOBSCLIM.CDP.2018.MetSnowDaily).
+Snowpack models and atmospheric models have been evaluated at this site. Finally, Col de Porte is a target site to evaluate Numerical Weather Prediction (NWP) models in alpine terrain.
+Cryobs-Clim-CDP is a Cryonet site of Global Cryosphere Watch (WMO), a member of the International Network for Alpine Research Catchment Hydrology (INARCH) and a part of OZCAR Infrastructure.",mds,True,findable,0,0,1,0,0,2018-07-19T07:26:33.000Z,2018-07-19T07:27:38.000Z,inist.osug,jbru,"Alpine climate,Meteorology,Snowpack","[{'subject': 'Alpine climate', 'subjectScheme': 'main'}, {'subject': 'Meteorology', 'subjectScheme': 'var'}, {'subject': 'Snowpack', 'subjectScheme': 'var'}]",,"['netCDF', 'caaml', 'CSV']"
+10.5281/zenodo.10276253,3D roughness computation from XCT data - Data and Python & ImageJ implementations,Zenodo,2023,en,ComputationalNotebook,CeCILL Free Software License Agreement v2.1,"Data provided in supplement of the research article ""A methodology for the 3D characterization of surfaces using X-ray computed tomography: application to additively manufactured parts"", F.Steinhilber, J.Lachambre, D.Cœurjolly, J.Y.Buffière, G.Martin, R.Dendievel.
+Â
+It contains 3 folders:
+- ""data"": a dataset used to present the roughness computation methodology in the article (= the XCT scan of a 2 mm cylinder fabricated by Electron Powder Bed Fusion, with a voxel size of 5 µm). The results of the roughness computation are also provided in this folder.
+- ""Python"": the Python implementation of the roughness computation methodology presented in the article, as well as some other calculations, such as the computation of the triangle threshold for bimodal histograms introduced in the article.
+- ""ImageJ"": the ImageJ implementation (simple macro) of the roughness computation methodology presented in the article, as well as some other calculations, such as the computation of the triangle threshold for bimodal histograms introduced in the article.
+Â
+Each folder contains a README file that further details the different files provided.",api,True,findable,0,0,0,0,0,2023-12-06T09:53:00.000Z,2023-12-06T09:53:00.000Z,cern.zenodo,cern,"Surface roughness,X-ray Computed Tomography,Python,ImageJ,3D","[{'subject': 'Surface roughness'}, {'subject': 'X-ray Computed Tomography'}, {'subject': 'Python'}, {'subject': 'ImageJ'}, {'subject': '3D'}]",,
+10.17178/emaa_para-nh3_hyperfine_1be97812,Hyperfine excitation of para-NH3 by para-H2 collisions,"UGA, CNRS, CNRS-INSU, OSUG",2023,en,Dataset,"Please acknowledge the use of EMAA Database by citing the original articles in which the data were published (BibTeX format available), and adding the following sentence in your publication:
+This research has made use of spectroscopic and collisional data from the EMAA database (https://emaa.osug.fr). EMAA is supported by the Observatoire des Sciences de l'Univers de Grenoble (OSUG),Creative Commons Attribution 4.0 International,Data access and use are ruled by the EMAA data policy.",48 hyperfine energy levels / 115 radiative transitions / 1127 collisional transitions for para-H2 (11 temperatures in the range 5-100K),mds,True,findable,0,0,0,0,0,2023-12-07T15:52:22.000Z,2023-12-07T15:52:23.000Z,inist.osug,jbru,"target para-NH3,excitationType Hyperfine,collisional excitation,collider.0 para-H2,astrophysics,interstellar medium,comets,circumstellar medium,gas,microwave spectroscopy,infrared spectroscopy,rotational excitation,rovibrational excitation,vibrational excitation,electronic excitation,collisional rate coefficients,fine structure,hyperfine structure","[{'subject': 'target para-NH3', 'subjectScheme': 'main'}, {'subject': 'excitationType Hyperfine', 'subjectScheme': 'main'}, {'subject': 'collisional excitation', 'subjectScheme': 'main'}, {'subject': 'collider.0 para-H2', 'subjectScheme': 'var'}, {'subject': 'astrophysics', 'subjectScheme': 'var'}, {'subject': 'interstellar medium', 'subjectScheme': 'var'}, {'subject': 'comets', 'subjectScheme': 'var'}, {'subject': 'circumstellar medium', 'subjectScheme': 'var'}, {'subject': 'gas', 'subjectScheme': 'var'}, {'subject': 'microwave spectroscopy', 'subjectScheme': 'var'}, {'subject': 'infrared spectroscopy', 'subjectScheme': 'var'}, {'subject': 'rotational excitation', 'subjectScheme': 'var'}, {'subject': 'rovibrational excitation', 'subjectScheme': 'var'}, {'subject': 'vibrational excitation', 'subjectScheme': 'var'}, {'subject': 'electronic excitation', 'subjectScheme': 'var'}, {'subject': 'collisional rate coefficients', 'subjectScheme': 'var'}, {'subject': 'fine structure', 'subjectScheme': 'var'}, {'subject': 'hyperfine structure', 'subjectScheme': 'var'}]",,['Radex']
+10.5281/zenodo.8362750,"Raw Data for Ultrashort Electron Wave Packets via Frequency-Comb Synthesis. Aluffi et al, 2023",Zenodo,2023,,Dataset,"Creative Commons Attribution 4.0 International,Open Access","This compressed files contains all the raw data and the python analysis scripts used to generate the figures in the paper Ultrashort Electron Wave Packets via Frequency-Comb Synthesis, Aluffi et al, 2023. 10.1103/PhysRevApplied.20.034005 Preprint available at https://doi.org/10.48550/arXiv.2212.12311",mds,True,findable,0,0,0,0,0,2023-09-20T17:09:28.000Z,2023-09-20T17:09:29.000Z,cern.zenodo,cern,,,,
+10.18709/perscido.2017.10.ds138,"F-TRACT, ATLAS June 2017",PerSciDo,2017,en,Dataset,Creative Commons Attribution Non Commercial No Derivatives 4.0 International,"Dataset that contains connectivity probablility and peak latency estimated from CCEP data recorded in 174 patients, only in the MarsAtlas parcellation scheme.",api,True,findable,0,0,0,0,0,2017-11-03T01:32:52.000Z,2017-11-03T01:32:52.000Z,inist.persyval,vcob,"Computer Science,Medicine","[{'lang': 'en', 'subject': 'Computer Science'}, {'lang': 'en', 'subject': 'Medicine'}]",['225 MB'],['csv']
+10.17178/draixbleone_gal_rob_dsd_1420,"Drop Size Distribution (DSD) at the Robine station (Lat : 44,17029 ; Lon : 6,21532)",IGE - CNRS - OSUG,2020,en,Dataset,"Creative Commons Attribution 4.0 International,The following acknowledging sentence should appear in publications using data and products from the Galabre watershed of the Draix Bleone Observatory: ""DRAIX BLEONE is funded by the Institut National des Sciences de l’Univers (INSU/CNRS) and the Observatoire des Sciences de l’Univers de Grenoble (OSUG / Université Grenoble Alpes)â€.,Always quote below citation to Legout et al. (submitted) when using these data. Legout C., Freche G., Biron R., Esteves M., Nord G, Navratil O., Uber M., Grangeon T., Hachgenei N., Boudevillain B. Voiron C., Spadini L. A critical zone observatory dedicated to suspended sediment transport: the meso-scale Galabre catchment (southern French Alps), submitted to Hydrological Processes.",This DSD data set is part of the DRAIXBLEONE_GAL observatory.,mds,True,findable,0,0,0,0,0,2020-09-15T15:58:41.000Z,2020-09-15T15:58:42.000Z,inist.osug,jbru,"Mediterranean mountainous climate,Precipitation,Meteorology","[{'subject': 'Mediterranean mountainous climate', 'subjectScheme': 'main'}, {'subject': 'Precipitation', 'subjectScheme': 'var'}, {'subject': 'Meteorology', 'subjectScheme': 'var'}]",,['CSV']
+10.5061/dryad.b8gtht78h,Global gradients in intraspecific variation in vegetative and floral traits are partially associated with climate and species richness,Dryad,2020,en,Dataset,Creative Commons Zero v1.0 Universal,"Aim Intraspecific trait variation (ITV) within natural plant communities can be large, influencing local ecological processes and dynamics. Here, we shed light on how ITV in vegetative and floral traits responds to large-scale abiotic and biotic gradients (i.e. climate and species richness). Specifically, we tested if associations of ITV with temperature, precipitation and species richness were consistent with any of from four hypotheses relating to stress-tolerance and competition. Furthermore, we estimated the degree of correlation between ITV in vegetative and floral traits and how they vary along the gradients. Location Global. Time period 1975-2016. Major taxa studied Herbaceous and woody plants. Methods We compiled a dataset of 18,112 measurements of the absolute extent of ITV (measured as coefficient of variation) in nine vegetative and seven floral traits from 2,774 herbaceous and woody species at 2,306 locations. Results Large-scale associations between ITV and climate were trait-specific and more prominent for vegetative traits, especially leaf morphology, than for floral traits. ITV showed pronounced associations with climate, with lower ITV values in colder areas and higher values in drier areas. The associations of ITV with species richness were inconsistent across traits. Species-specific associations across gradients were often idiosyncratic and covariation in ITV was weaker between vegetative and floral traits than within the two trait groups. Main conclusions Our results show that, depending on the traits considered, ITV either increased or decreased with climate stress and species richness, suggesting that both factors can constrain or enhance ITV, which might foster plant-population persistence under stressful conditions. Given the species-specific responses and covariation in ITV, associations can be hard to predict for traits and species not yet studied. We conclude that considering ITV can improve our understanding of how plants cope with stressful conditions and environmental change across spatial and biological scales.",mds,True,findable,261,47,1,1,0,2020-02-04T15:41:47.000Z,2020-02-04T15:41:48.000Z,dryad.dryad,dryad,"functional plant traits,flower trait,Leaf trait","[{'subject': 'functional plant traits'}, {'subject': 'flower trait'}, {'subject': 'Leaf trait'}]",['2467474 bytes'],
+10.48537/hal-03220354,"Physical/Digital Spaces Collisions. So What?, Session 9 – Introduction",Reseau International Ambiances,2020,en,Text,Creative Commons Attribution Non Commercial No Derivatives 2.0 Generic,,mds,True,findable,0,0,0,0,0,2021-06-17T16:48:26.000Z,2021-06-17T16:48:27.000Z,jbru.aau,jbru,,,['1 pages'],['application/pdf']
+10.17178/amma-catch.ce.sw_g,"Soil dataset (soil moisture and temperature profiles), within the Gourma site (30 000 km2), Mali","IRD, CNRS-INSU, OSUG, OMP, OREME",2004,en,Dataset,"Creative Commons Attribution 4.0 International,Data access and use are ruled by the AMMA-CATCH data policy.,For any publication using AMMA-CATCH data, authors are asked to:
Mandatory: cite the reference article and the DOI of the observatory
@@ -3397,18 +2745,18 @@ Mandatory: cite the reference article and the DOI of the observatory
Optional: cite the DOI of each dataset used.
-Co-authorship: depending on the contribution of the data to the scientific results obtained, the authors should either propose co-authorship to the data providers or at least acknowledge their contribution.","Long term measurements (LOP) of the river discharge to documentate the surface water balance of 6 nested catchments (12 to 586 km2). The electrical conductivity of river water is an integrative measure that allows documentation of the origin of waters (rainfall, surface and sub-surface runoff, water table drainage). Associated to the chemical characterization of water (CE.Wchem_Od), these data give insight into processes of runoff generation, allow to compute water balance components and constitute validation datasets for hydrological models.",mds,True,findable,0,0,2,1,0,2018-03-16T15:37:17.000Z,2018-03-16T15:37:18.000Z,inist.osug,jbru,"Discharge,Sudanian climate,Discharge/Flow (10 minutes),Water Level,Discharge/Flow,Discharge/Flow (15 minutes),Discharge/Flow (30 minutes)","[{'subject': 'Discharge', 'subjectScheme': 'main'}, {'subject': 'Sudanian climate', 'subjectScheme': 'main'}, {'subject': 'Discharge/Flow (10 minutes)', 'subjectScheme': 'var'}, {'subject': 'Water Level', 'subjectScheme': 'var'}, {'subject': 'Discharge/Flow', 'subjectScheme': 'var'}, {'subject': 'Discharge/Flow (15 minutes)', 'subjectScheme': 'var'}, {'subject': 'Discharge/Flow (30 minutes)', 'subjectScheme': 'var'}]",,"['CSV', 'NETCDF', 'O&M 1.0']"
-10.17178/emaa_ortho-h2o_rotation_0d2ed16f,Rotation excitation of ortho-H2O by H and electron collisions,"UGA, CNRS, CNRS-INSU, OSUG",2022,en,Dataset,"Please acknowledge the use of EMAA Database by citing the original articles in which the data were published (BibTeX format available), and adding the following sentence in your publication:
-This research has made use of spectroscopic and collisional data from the EMAA database (https://emaa.osug.fr). EMAA is supported by the Observatoire des Sciences de l'Univers de Grenoble (OSUG),Creative Commons Attribution 4.0 International,Data access and use are ruled by the EMAA data policy.",45 rotation energy levels / 124 radiative transitions / 990 collisional transitions for H (14 temperatures in the range 5-1500K) / 91 collisional transitions for electron (9 temperatures in the range 10-500K),mds,True,findable,0,0,0,0,0,2022-02-07T11:25:37.000Z,2022-02-07T11:25:38.000Z,inist.osug,jbru,"target ortho-H2O,excitationType Rotation,collisional excitation,collider.0 H,collider.1 electron,astrophysics,interstellar medium,comets,circumstellar medium,gas,microwave spectroscopy,infrared spectroscopy,rotational excitation,rovibrational excitation,vibrational excitation,electronic excitation,collisional rate coefficients,fine structure,hyperfine structure","[{'subject': 'target ortho-H2O', 'subjectScheme': 'main'}, {'subject': 'excitationType Rotation', 'subjectScheme': 'main'}, {'subject': 'collisional excitation', 'subjectScheme': 'main'}, {'subject': 'collider.0 H', 'subjectScheme': 'var'}, {'subject': 'collider.1 electron', 'subjectScheme': 'var'}, {'subject': 'astrophysics', 'subjectScheme': 'var'}, {'subject': 'interstellar medium', 'subjectScheme': 'var'}, {'subject': 'comets', 'subjectScheme': 'var'}, {'subject': 'circumstellar medium', 'subjectScheme': 'var'}, {'subject': 'gas', 'subjectScheme': 'var'}, {'subject': 'microwave spectroscopy', 'subjectScheme': 'var'}, {'subject': 'infrared spectroscopy', 'subjectScheme': 'var'}, {'subject': 'rotational excitation', 'subjectScheme': 'var'}, {'subject': 'rovibrational excitation', 'subjectScheme': 'var'}, {'subject': 'vibrational excitation', 'subjectScheme': 'var'}, {'subject': 'electronic excitation', 'subjectScheme': 'var'}, {'subject': 'collisional rate coefficients', 'subjectScheme': 'var'}, {'subject': 'fine structure', 'subjectScheme': 'var'}, {'subject': 'hyperfine structure', 'subjectScheme': 'var'}]",,['Radex']
-10.17178/ohmcv.rea.cev.07-14.1,Pluviometric reanalysis Cévennes-Vivarais,CNRS - OSUG - OREME,2007,en,Dataset,"Data access and use are ruled by the OHMCV data policy.,The following acknowledging sentence should appear in publications using OHMCV data and products: ""OHMCV is funded by the Institut National des Sciences de l’Univers (INSU/CNRS) and the Observatoire des Sciences de l’Univers de Grenoble (OSUG / Université Grenoble Alpes)â€.",Hourly maps with a 1 km² resolution were produced for a selection of the most intense rainy days of period 2007-2012.,mds,True,findable,0,0,1,0,0,2017-03-10T17:09:28.000Z,2017-03-10T17:09:28.000Z,inist.osug,jbru,"Atmospheric conditions,Rain,Geographic Regions,Value-added dataset","[{'subject': 'Atmospheric conditions', 'subjectScheme': 'main'}, {'subject': 'Rain', 'subjectScheme': 'main'}, {'subject': 'Geographic Regions', 'subjectScheme': 'main'}, {'subject': 'Value-added dataset', 'subjectScheme': 'main'}]",,"['CSV', 'ESRI Grid', 'NETCDF']"
-10.17178/zaa_soil_temp.orchamp,Long term monitoring of near surface soil temperature in the french Alps part of ORCHAMP observatory,UGA – OSUG – ORCHAMP Consortium,2021,en,Dataset,"Creative Commons Attribution 4.0 International,For any publication using ZAA data, depending on the contribution of the data to the scientific results obtained, data users should either propose co-authorship to the data providers (doi Project leaders) or at least acknowledge their contribution.
-The acknowledging sentence which should appear in publications using ZAA temp-soil data and products is in the readme file joint with the dataset","Monitoring of near-surface soil temperature in seasonaly snow-covered, mountain ecosystems located in the French Alps. Data are part the ORCHAMP project. Data include a GPS position, a date and time in UTC and a near-surface soil temperature (in °C) measured at 5 cm belowground using stand-alone temperature data logger. The first sensors were installed in 2016. Data collection is still in progress and new sites are added every year since 2016.",mds,True,findable,0,0,0,0,0,2021-07-13T13:43:45.000Z,2021-07-13T13:43:47.000Z,inist.osug,jbru,"microclimate,mountain climate,long-term monitoring,soil,root zone,cold zone ecosystem,soil temperature","[{'subject': 'microclimate', 'subjectScheme': 'main'}, {'subject': 'mountain climate', 'subjectScheme': 'main'}, {'subject': 'long-term monitoring', 'subjectScheme': 'main'}, {'subject': 'soil', 'subjectScheme': 'main'}, {'subject': 'root zone', 'subjectScheme': 'main'}, {'subject': 'cold zone ecosystem', 'subjectScheme': 'main'}, {'subject': 'soil temperature', 'subjectScheme': 'var'}]",,['CSV']
-10.17178/gnss.products.europe,GNSS position and velocity solutions in Europe,"CNRS, OSUG, ISTERRE",2019,en,Dataset,"License: CC BY-NC-ND 4.0,Data access and use are ruled by the OSUG data policy.,The following acknowledging sentence should appear in publications using ISTerre GNSS products: ""GNSS products are calculated and provided by the Institut of Sciences de la Terre (ISTerre), belonging to the Institut National des Sciences de l’Univers (INSU/CNRS) and the Observatoire des Sciences de l’Univers de Grenoble (OSUG / Université Grenoble Alpes)"".
-You are invited to contact the PI(s) or lead scientist for more information about the data and to include the acknowledgement sentence in any publication using the data.","This dataset includes all European GNSS solutions processed by ISTerre. These products are position time series (North, East and Vertical) and the horizontal and vertical velocity fields calculated from rinex files using the double difference method with GAMIT software.",mds,True,findable,0,0,1,0,0,2019-04-05T10:19:17.000Z,2019-04-05T10:19:18.000Z,inist.osug,jbru,"GNSS products,Velocity field,GNSS data analysis,Time serie positioning","[{'subject': 'GNSS products', 'subjectScheme': 'main'}, {'subject': 'Velocity field', 'subjectScheme': 'var'}, {'subject': 'GNSS data analysis', 'subjectScheme': 'var'}, {'subject': 'Time serie positioning', 'subjectScheme': 'var'}]",,"['pos', 'PBO']"
-10.17178/cryobsclim.cdp.2018.soil,"Col de Porte, Soil properties",CNRS - OSUG - Meteo France,2008,en,Dataset,"Data access and use are ruled by the CRYOBS-CLIM data policy.,Always quote below citation to Lejeune et al. (2019) when using data.
- Lejeune, Y., Dumont, M., Panel J.-M., Lafaysse, M., Lapalus, P., Le Gac, E., Lesaffre, B. and Morin, S., 57 years (1960-2017) of snow and meteorological observations from a mid-altitude mountain site (Col de Porte, France, 1325 m alt.), Earth System Science Data, 11(2019), 71-88, https://doi.org/10.5194/essd-11-71-2019. The following acknowledging sentence should appear in publications using Cryobs-Clim-CDP data and products: ""Cryobs-Clim Col de Porte is funded by Meteo France, the Institut National des Sciences de l’Univers (INSU/CNRS), and the Observatoire des Sciences de l’Univers de Grenoble (OSUG / Université Grenoble Alpes)â€. You are invited to contact the PI(s) or lead scientist for more information about the data and to include the acknowledgement sentence in any publication using the data.","This dataset is part of the Cryobs-Clim-CDP (CRYosphere, an OBServatory of the CLIMate – Col de Porte) observatory",mds,True,findable,0,0,1,0,0,2018-07-19T07:26:38.000Z,2018-07-19T07:28:08.000Z,inist.osug,jbru,Soil properties,"[{'subject': 'Soil properties', 'subjectScheme': 'main'}]",,['CSV']
-10.17178/draixbleone_gal_rob_cond_1719,Electrical conductivity of the river Galabre at the Robine station of the Galabre watershed,IGE - CNRS - OSUG,2020,en,Dataset,"Creative Commons Attribution 4.0 International,The following acknowledging sentence should appear in publications using data and products from the Galabre watershed of the Draix Bleone Observatory: ""DRAIX BLEONE is funded by the Institut National des Sciences de l’Univers (INSU/CNRS) and the Observatoire des Sciences de l’Univers de Grenoble (OSUG / Université Grenoble Alpes)â€.,Always quote below citation to Legout et al. (submitted) when using these data. Legout C., Freche G., Biron R., Esteves M., Nord G, Navratil O., Uber M., Grangeon T., Hachgenei N., Boudevillain B. Voiron C., Spadini L. A critical zone observatory dedicated to suspended sediment transport: the meso-scale Galabre catchment (southern French Alps), submitted to Hydrological Processes.",This conductivity data set is part of the DRAIXBLEONE_GAL observatory.,mds,True,findable,0,0,0,0,0,2020-09-15T15:58:38.000Z,2020-09-15T15:58:39.000Z,inist.osug,jbru,"Mediterranean mountainous climate,Surface water,Hydrology,Water quality / Water chemistry","[{'subject': 'Mediterranean mountainous climate', 'subjectScheme': 'main'}, {'subject': 'Surface water', 'subjectScheme': 'var'}, {'subject': 'Hydrology', 'subjectScheme': 'var'}, {'subject': 'Water quality / Water chemistry', 'subjectScheme': 'var'}]",,['CSV']
-10.17178/amma-catch.pa.sw_snnr,"Soil dataset (soil moisture and temperature profiles), in the Niakhar site (Ragola station), Senegal","IRD, CNRS-INSU, OSUG, OMP, OREME",2018,en,Dataset,"Creative Commons Attribution 4.0 International,Data access and use are ruled by the AMMA-CATCH data policy.,For any publication using AMMA-CATCH data, authors are asked to:
+Co-authorship: depending on the contribution of the data to the scientific results obtained, the authors should either propose co-authorship to the data providers or at least acknowledge their contribution.","Monitoring soil moisture dynamic in the Sahel. The aim is to characterize the spatial variability of the soil moisture, with particular attention to the meridional gradient in the Gourma mesoscale site as well as the vertical and temporal variability. This data set will improve our understanding of land surface processes, continental water budget and surface-atmosphere feedbacks. It will be used in modelling and assimilation activities, as well as for validation of satellite products.",mds,True,findable,0,0,1,0,0,2018-03-16T15:37:03.000Z,2018-03-16T15:37:03.000Z,inist.osug,jbru,"Soil Temperature, soil moisture, soil water,Sahelian/Saharan climate,Soil Temperature at depth 1.2 m,Soil Temperature at depth 10 cm,Soil Moisture/Water Content at depth 30 cm,Soil Temperature at depth 60 cm,Soil Temperature at depth 80 cm,Soil Moisture/Water Content at depth 40 cm,Soil Moisture/Water Content at depth 4 m,Soil Temperature at depth 40 cm,Soil Moisture/Water Content at depth 20 cm,Soil Moisture/Water Content at depth 1 m,Soil Temperature at depth 30 cm,Soil Moisture/Water Content at depth 1.8 m,Soil Moisture/Water Content at depth 2.2 m,Soil Temperature at depth 20 cm,Soil Moisture/Water Content at depth 2.5 m,Soil Moisture/Water Content at depth 10 cm,Soil Moisture/Water Content at depth 60 cm,Soil Moisture/Water Content at depth 1.2 m,Soil Temperature at depth 5 cm (2),Soil Moisture/Water Content at depth 1.5 m,Soil Moisture/Water Content at depth 80 cm,Soil Temperature at depth 1 m,Soil Temperature at depth 5 cm,Soil Moisture/Water Content at depth 5 cm","[{'subject': 'Soil Temperature, soil moisture, soil water', 'subjectScheme': 'main'}, {'subject': 'Sahelian/Saharan climate', 'subjectScheme': 'main'}, {'subject': 'Soil Temperature at depth 1.2 m', 'subjectScheme': 'var'}, {'subject': 'Soil Temperature at depth 10 cm', 'subjectScheme': 'var'}, {'subject': 'Soil Moisture/Water Content at depth 30 cm', 'subjectScheme': 'var'}, {'subject': 'Soil Temperature at depth 60 cm', 'subjectScheme': 'var'}, {'subject': 'Soil Temperature at depth 80 cm', 'subjectScheme': 'var'}, {'subject': 'Soil Moisture/Water Content at depth 40 cm', 'subjectScheme': 'var'}, {'subject': 'Soil Moisture/Water Content at depth 4 m', 'subjectScheme': 'var'}, {'subject': 'Soil Temperature at depth 40 cm', 'subjectScheme': 'var'}, {'subject': 'Soil Moisture/Water Content at depth 20 cm', 'subjectScheme': 'var'}, {'subject': 'Soil Moisture/Water Content at depth 1 m', 'subjectScheme': 'var'}, {'subject': 'Soil Temperature at depth 30 cm', 'subjectScheme': 'var'}, {'subject': 'Soil Moisture/Water Content at depth 1.8 m', 'subjectScheme': 'var'}, {'subject': 'Soil Moisture/Water Content at depth 2.2 m', 'subjectScheme': 'var'}, {'subject': 'Soil Temperature at depth 20 cm', 'subjectScheme': 'var'}, {'subject': 'Soil Moisture/Water Content at depth 2.5 m', 'subjectScheme': 'var'}, {'subject': 'Soil Moisture/Water Content at depth 10 cm', 'subjectScheme': 'var'}, {'subject': 'Soil Moisture/Water Content at depth 60 cm', 'subjectScheme': 'var'}, {'subject': 'Soil Moisture/Water Content at depth 1.2 m', 'subjectScheme': 'var'}, {'subject': 'Soil Temperature at depth 5 cm (2)', 'subjectScheme': 'var'}, {'subject': 'Soil Moisture/Water Content at depth 1.5 m', 'subjectScheme': 'var'}, {'subject': 'Soil Moisture/Water Content at depth 80 cm', 'subjectScheme': 'var'}, {'subject': 'Soil Temperature at depth 1 m', 'subjectScheme': 'var'}, {'subject': 'Soil Temperature at depth 5 cm', 'subjectScheme': 'var'}, {'subject': 'Soil Moisture/Water Content at depth 5 cm', 'subjectScheme': 'var'}]",,"['CSV', 'NETCDF', 'O&M 1.0']"
+10.48537/hal-03220322,Politicising the Atmospheres of Urban Environmental Changes,Reseau International Ambiances,2020,en,Text,Creative Commons Attribution Non Commercial No Derivatives 2.0 Generic,"Building on field research conducted during my Ph.D., which focused on urban natures and – in particular – post-industrial, riverside Turin (Italy), the presentation dis- cusses urban political ecology and atmosphere literature, considered as two different, yet potentially complementary, fields of research. I will examine how an atmospheric-based critique of processes of decay can determine an interpretation of the dynamics of envi- ronmental degradation and – more broadly speaking – of urban environmental changes. I will conclude by offering some reflections on the extent to which the political ecology of atmospheres has helped me to formulate a different language, through which to capture the tenacious effects of processes of decay and territorial stigma.",mds,True,findable,0,0,0,0,0,2021-06-17T16:47:12.000Z,2021-06-17T16:47:13.000Z,jbru.aau,jbru,"Environmental Change,Temporality,Atmospheres,UPE,Urban Natures","[{'lang': 'eng', 'subject': 'Environmental Change'}, {'lang': 'eng', 'subject': 'Temporality'}, {'lang': 'eng', 'subject': 'Atmospheres'}, {'lang': 'eng', 'subject': 'UPE'}, {'lang': 'eng', 'subject': 'Urban Natures'}]",['5 pages'],['application/pdf']
+10.5281/zenodo.3367347,Dataset for ISMIP6 CMIP5 model selection,Zenodo,2019,,Dataset,"Creative Commons Attribution 4.0 International,Open Access","Dataset associated with the manuscript entitled ""CMIP5 model selection for ISMIP6 ice sheet model forcing: Greenland and Antarctica"" for publication in The Cryosphere. This dataset was used to select CMIP5 models as forcing for the ISMIP6 stand-alone Greenland and Antarctica projections.",mds,True,findable,0,0,0,0,0,2019-08-14T14:33:26.000Z,2019-08-14T14:33:26.000Z,cern.zenodo,cern,"climate,CMIP5,Antarctica,Greenland","[{'subject': 'climate'}, {'subject': 'CMIP5'}, {'subject': 'Antarctica'}, {'subject': 'Greenland'}]",,
+10.48537/hal-03220268,"Ambulatory Ambiance, A Comparative Analysis of Three Elevated Linear Parks",Reseau International Ambiances,2020,en,Text,Creative Commons Attribution Non Commercial No Derivatives 2.0 Generic,"This paper analyzes the atmospheres of ambulatory pathways. Differences between promenade and seating, hardscape and nature, and new public art juxtaposed with residual industrial legacy, create opportunities for choice. A privileged view outward to the city can conflict with a protected simulation of a walk through a forested alleÌe. What are the common features of design and the concerted resulting ambiance that distinguish the Prome- nade PlanteÌe in Paris, Seoullo 7017 in Seoul and the High Line in New York How does renaturation and design by nature create urban islands of calm for people? The answers are in the complexity of interaction of the different design elements.",mds,True,findable,0,0,0,0,0,2021-06-17T10:17:22.000Z,2021-06-17T10:17:22.000Z,jbru.aau,jbru,"Linear Parks,Renaturation,Design,Experience,Semiotics","[{'lang': 'eng', 'subject': 'Linear Parks'}, {'lang': 'eng', 'subject': 'Renaturation'}, {'lang': 'eng', 'subject': 'Design'}, {'lang': 'eng', 'subject': 'Experience'}, {'lang': 'eng', 'subject': 'Semiotics'}]",['6 pages'],['application/pdf']
+10.17178/emaa_(38ar)h-plus_rotation_4186bb1b,Rotation excitation of [38Ar]H+ by H and electron collisions,"UGA, CNRS, CNRS-INSU, OSUG",2021,en,Dataset,"Please acknowledge the use of EMAA Database by citing the original articles in which the data were published (BibTeX format available), and adding the following sentence in your publication:
+This research has made use of spectroscopic and collisional data from the EMAA database (https://emaa.osug.fr). EMAA is supported by the Observatoire des Sciences de l'Univers de Grenoble (OSUG),Creative Commons Attribution 4.0 International,Data access and use are ruled by the EMAA data policy.",12 rotation energy levels / 11 radiative transitions / 66 collisional transitions for H (34 temperatures in the range 10-1000K) / 60 collisional transitions for electron (12 temperatures in the range 10-3000K),mds,True,findable,0,0,0,0,0,2021-11-18T13:34:33.000Z,2021-11-18T13:34:33.000Z,inist.osug,jbru,"target [38Ar]H+,excitationType Rotation,collisional excitation,collider.0 H,collider.1 electron,astrophysics,interstellar medium,comets,circumstellar medium,gas,microwave spectroscopy,infrared spectroscopy,rotational excitation,rovibrational excitation,vibrational excitation,electronic excitation,collisional rate coefficients,fine structure,hyperfine structure","[{'subject': 'target [38Ar]H+', 'subjectScheme': 'main'}, {'subject': 'excitationType Rotation', 'subjectScheme': 'main'}, {'subject': 'collisional excitation', 'subjectScheme': 'main'}, {'subject': 'collider.0 H', 'subjectScheme': 'var'}, {'subject': 'collider.1 electron', 'subjectScheme': 'var'}, {'subject': 'astrophysics', 'subjectScheme': 'var'}, {'subject': 'interstellar medium', 'subjectScheme': 'var'}, {'subject': 'comets', 'subjectScheme': 'var'}, {'subject': 'circumstellar medium', 'subjectScheme': 'var'}, {'subject': 'gas', 'subjectScheme': 'var'}, {'subject': 'microwave spectroscopy', 'subjectScheme': 'var'}, {'subject': 'infrared spectroscopy', 'subjectScheme': 'var'}, {'subject': 'rotational excitation', 'subjectScheme': 'var'}, {'subject': 'rovibrational excitation', 'subjectScheme': 'var'}, {'subject': 'vibrational excitation', 'subjectScheme': 'var'}, {'subject': 'electronic excitation', 'subjectScheme': 'var'}, {'subject': 'collisional rate coefficients', 'subjectScheme': 'var'}, {'subject': 'fine structure', 'subjectScheme': 'var'}, {'subject': 'hyperfine structure', 'subjectScheme': 'var'}]",,['Radex']
+10.48537/hal-03220301,"Ornamental Atmosphere & Digital De-lights, The Reactivation of Light Ornaments Through Digital Design",Reseau International Ambiances,2020,en,Text,Creative Commons Attribution Non Commercial No Derivatives 2.0 Generic,"“Ornamental Atmosphere & Digital De-lights†focuses on the reactivation of tradi- tional and cultural craftsmanship of ornamen- tation using contemporary digital modeling and manufacturing tools. Conducted in the framework of a Franco-Egyptian collaboration between Ain Shams University – Egypt and the Grenoble School of Architecture – France, this communication proposes to describe the expe- riential methodology of an intensive workshop that took place in ENSA Grenoble in September 2019. The aim is to parametrically design and digitally fabricate prototypes of architectural envelopes whose patterns and light effects are a reinterpretation of traditional Egyptian architecture and its light atmospheres, while introducing variants to adapt the design to different situations and usages.",mds,True,findable,0,0,0,0,0,2021-06-17T20:45:44.000Z,2021-06-17T20:45:45.000Z,jbru.aau,jbru,"Ornamental Atmosphere,Egyptian Light Heritage,Digital Design,Prototypes","[{'lang': 'eng', 'subject': 'Ornamental Atmosphere'}, {'lang': 'eng', 'subject': 'Egyptian Light Heritage'}, {'lang': 'eng', 'subject': 'Digital Design'}, {'lang': 'eng', 'subject': 'Prototypes'}]",['6 pages'],['application/pdf']
+10.17178/emaa_ortho-nh2d_hyperfine_0ead32a0,Hyperfine excitation of ortho-NH2D by para-H2 collisions,"UGA, CNRS, CNRS-INSU, OSUG",2021,en,Dataset,"Please acknowledge the use of EMAA Database by citing the original articles in which the data were published (BibTeX format available), and adding the following sentence in your publication:
+This research has made use of spectroscopic and collisional data from the EMAA database (https://emaa.osug.fr). EMAA is supported by the Observatoire des Sciences de l'Univers de Grenoble (OSUG),Creative Commons Attribution 4.0 International,Data access and use are ruled by the EMAA data policy.",25 hyperfine energy levels / 90 radiative transitions / 276 collisional transitions for para-H2 (7 temperatures in the range 5-50K),mds,True,findable,0,0,0,0,0,2021-11-17T14:01:43.000Z,2021-11-17T14:01:45.000Z,inist.osug,jbru,"target ortho-NH2D,excitationType Hyperfine,collisional excitation,collider.0 para-H2,astrophysics,interstellar medium,comets,circumstellar medium,gas,microwave spectroscopy,infrared spectroscopy,rotational excitation,rovibrational excitation,vibrational excitation,electronic excitation,collisional rate coefficients,fine structure,hyperfine structure","[{'subject': 'target ortho-NH2D', 'subjectScheme': 'main'}, {'subject': 'excitationType Hyperfine', 'subjectScheme': 'main'}, {'subject': 'collisional excitation', 'subjectScheme': 'main'}, {'subject': 'collider.0 para-H2', 'subjectScheme': 'var'}, {'subject': 'astrophysics', 'subjectScheme': 'var'}, {'subject': 'interstellar medium', 'subjectScheme': 'var'}, {'subject': 'comets', 'subjectScheme': 'var'}, {'subject': 'circumstellar medium', 'subjectScheme': 'var'}, {'subject': 'gas', 'subjectScheme': 'var'}, {'subject': 'microwave spectroscopy', 'subjectScheme': 'var'}, {'subject': 'infrared spectroscopy', 'subjectScheme': 'var'}, {'subject': 'rotational excitation', 'subjectScheme': 'var'}, {'subject': 'rovibrational excitation', 'subjectScheme': 'var'}, {'subject': 'vibrational excitation', 'subjectScheme': 'var'}, {'subject': 'electronic excitation', 'subjectScheme': 'var'}, {'subject': 'collisional rate coefficients', 'subjectScheme': 'var'}, {'subject': 'fine structure', 'subjectScheme': 'var'}, {'subject': 'hyperfine structure', 'subjectScheme': 'var'}]",,['Radex']
+10.17178/ohmcv.rts.auz.10-14.1,Hpiconet rain gauge network,CNRS - OSUG - OREME,2010,en,Dataset,"Data access and use are ruled by the OHMCV data policy.,The following acknowledging sentence should appear in publications using OHMCV data and products: ""OHMCV is funded by the Institut National des Sciences de l’Univers (INSU/CNRS) and the Observatoire des Sciences de l’Univers de Grenoble (OSUG / Université Grenoble Alpes)â€.",A report of the raingauge survey is available in the file tournee_etat_stations.xlsx A interactive software based on R allows to interactively plot and extract the data to the EXCEL format. (http://www.ohmcv.fr/plot_hpiconet_series.zip),mds,True,findable,0,0,1,0,0,2017-03-10T17:09:29.000Z,2017-03-10T17:09:29.000Z,inist.osug,jbru,"Atmospheric conditions,Precipitation Amount,RAIN GAUGES","[{'subject': 'Atmospheric conditions', 'subjectScheme': 'main'}, {'subject': 'Precipitation Amount', 'subjectScheme': 'main'}, {'subject': 'RAIN GAUGES', 'subjectScheme': 'main'}]",,"['CSV', 'ESRI Grid', 'NETCDF']"
+10.48537/hal-03220300,Atmospheric Gestures of Architecture in Cinematic Aided Design Framework,Reseau International Ambiances,2020,en,Text,Creative Commons Attribution Non Commercial No Derivatives 2.0 Generic,"Atmosphere and ambient properties can be hidden dimensions of architectural space. How can students design with atmos- phere in mind? Unlike artists, architects often do not considering multisensory modalities as resourceful possibilities for creativity. In a Cinematic Aided Design framework, we can tap into the potentials of these hidden dimensions in architectural or urban scale. How does the affective atmosphere translate to knowledge for design? A synthesis generated through experimental moving image techniques can be used as source materials for a cinematic architecture that can be influential forces in different stages of design process. This paper suggests atmosphere as a concept is instru- mental for decoding architectural gestures and generating meaningful associations.",mds,True,findable,0,0,0,0,0,2021-06-17T16:48:46.000Z,2021-06-17T16:48:47.000Z,jbru.aau,jbru,"Gesture,Architecture,FOS: Civil engineering,Atmosphere,Cinematic","[{'lang': 'eng', 'subject': 'Gesture'}, {'lang': 'eng', 'subject': 'Architecture'}, {'subject': 'FOS: Civil engineering', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'lang': 'eng', 'subject': 'Atmosphere'}, {'lang': 'eng', 'subject': 'Cinematic'}]",['6 pages'],['application/pdf']
+10.17178/amma-catch.cl.raind_gh,"Precipitation dataset (daily rainfall), over the Hombori site (2500 km2), Mali","IRD, CNRS-INSU, OSUG, OMP, OREME",2003,en,Dataset,"Creative Commons Attribution 4.0 International,Data access and use are ruled by the AMMA-CATCH data policy.,For any publication using AMMA-CATCH data, authors are asked to:
Mandatory: cite the reference article and the DOI of the observatory
@@ -3417,12 +2765,11 @@ Mandatory: cite the reference article and the DOI of the observatory
Optional: cite the DOI of each dataset used.
-Co-authorship: depending on the contribution of the data to the scientific results obtained, the authors should either propose co-authorship to the data providers or at least acknowledge their contribution.",Documentation of soil water content and soil temperature.,mds,True,findable,0,0,1,0,0,2021-11-15T12:53:55.000Z,2021-11-15T12:53:56.000Z,inist.osug,jbru,"Soil Temperature, soil moisture,Sahelian climate,Soil Moisture/Water Content at depth 10 cm,Soil Temperature at depth 10 cm,Soil Moisture/Water Content at depth 40 cm,Soil Temperature at depth 40 cm,Soil Temperature at depth 20 cm,Soil Moisture/Water Content at depth 20 cm","[{'subject': 'Soil Temperature, soil moisture', 'subjectScheme': 'main'}, {'subject': 'Sahelian climate', 'subjectScheme': 'main'}, {'subject': 'Soil Moisture/Water Content at depth 10 cm', 'subjectScheme': 'var'}, {'subject': 'Soil Temperature at depth 10 cm', 'subjectScheme': 'var'}, {'subject': 'Soil Moisture/Water Content at depth 40 cm', 'subjectScheme': 'var'}, {'subject': 'Soil Temperature at depth 40 cm', 'subjectScheme': 'var'}, {'subject': 'Soil Temperature at depth 20 cm', 'subjectScheme': 'var'}, {'subject': 'Soil Moisture/Water Content at depth 20 cm', 'subjectScheme': 'var'}]",,"['CSV', 'NETCDF', 'O&M 1.0']"
-10.17178/emaa_so2_rotation_cdf6a320,Rotation excitation of SO2 by ortho-H2 and para-H2 collisions,"UGA, CNRS, CNRS-INSU, OSUG",2021,en,Dataset,"Please acknowledge the use of EMAA Database by citing the original articles in which the data were published (BibTeX format available), and adding the following sentence in your publication:
-This research has made use of spectroscopic and collisional data from the EMAA database (https://emaa.osug.fr). EMAA is supported by the Observatoire des Sciences de l'Univers de Grenoble (OSUG),Creative Commons Attribution 4.0 International,Data access and use are ruled by the EMAA data policy.",31 rotation energy levels / 74 radiative transitions / 465 collisional transitions for para-H2 (6 temperatures in the range 5-30K) / 465 collisional transitions for ortho-H2 (6 temperatures in the range 5-30K),mds,True,findable,0,0,0,0,0,2022-02-07T11:26:27.000Z,2022-02-07T11:26:28.000Z,inist.osug,jbru,"target SO2,excitationType Rotation,collisional excitation,collider.0 para-H2,collider.1 ortho-H2,astrophysics,interstellar medium,comets,circumstellar medium,gas,microwave spectroscopy,infrared spectroscopy,rotational excitation,rovibrational excitation,vibrational excitation,electronic excitation,collisional rate coefficients,fine structure,hyperfine structure","[{'subject': 'target SO2', 'subjectScheme': 'main'}, {'subject': 'excitationType Rotation', 'subjectScheme': 'main'}, {'subject': 'collisional excitation', 'subjectScheme': 'main'}, {'subject': 'collider.0 para-H2', 'subjectScheme': 'var'}, {'subject': 'collider.1 ortho-H2', 'subjectScheme': 'var'}, {'subject': 'astrophysics', 'subjectScheme': 'var'}, {'subject': 'interstellar medium', 'subjectScheme': 'var'}, {'subject': 'comets', 'subjectScheme': 'var'}, {'subject': 'circumstellar medium', 'subjectScheme': 'var'}, {'subject': 'gas', 'subjectScheme': 'var'}, {'subject': 'microwave spectroscopy', 'subjectScheme': 'var'}, {'subject': 'infrared spectroscopy', 'subjectScheme': 'var'}, {'subject': 'rotational excitation', 'subjectScheme': 'var'}, {'subject': 'rovibrational excitation', 'subjectScheme': 'var'}, {'subject': 'vibrational excitation', 'subjectScheme': 'var'}, {'subject': 'electronic excitation', 'subjectScheme': 'var'}, {'subject': 'collisional rate coefficients', 'subjectScheme': 'var'}, {'subject': 'fine structure', 'subjectScheme': 'var'}, {'subject': 'hyperfine structure', 'subjectScheme': 'var'}]",,['Radex']
-10.17178/emaa_para-nhd2_rotation_8fdc530e,Rotation excitation of para-NHD2 by para-H2 collisions,"UGA, CNRS, CNRS-INSU, OSUG",2021,en,Dataset,"Please acknowledge the use of EMAA Database by citing the original articles in which the data were published (BibTeX format available), and adding the following sentence in your publication:
-This research has made use of spectroscopic and collisional data from the EMAA database (https://emaa.osug.fr). EMAA is supported by the Observatoire des Sciences de l'Univers de Grenoble (OSUG),Creative Commons Attribution 4.0 International,Data access and use are ruled by the EMAA data policy.",16 rotation energy levels / 48 radiative transitions / 120 collisional transitions for para-H2 (10 temperatures in the range 5-50K),mds,True,findable,0,0,0,0,0,2021-11-17T14:02:23.000Z,2021-11-17T14:02:24.000Z,inist.osug,jbru,"target para-NHD2,excitationType Rotation,collisional excitation,collider.0 para-H2,astrophysics,interstellar medium,comets,circumstellar medium,gas,microwave spectroscopy,infrared spectroscopy,rotational excitation,rovibrational excitation,vibrational excitation,electronic excitation,collisional rate coefficients,fine structure,hyperfine structure","[{'subject': 'target para-NHD2', 'subjectScheme': 'main'}, {'subject': 'excitationType Rotation', 'subjectScheme': 'main'}, {'subject': 'collisional excitation', 'subjectScheme': 'main'}, {'subject': 'collider.0 para-H2', 'subjectScheme': 'var'}, {'subject': 'astrophysics', 'subjectScheme': 'var'}, {'subject': 'interstellar medium', 'subjectScheme': 'var'}, {'subject': 'comets', 'subjectScheme': 'var'}, {'subject': 'circumstellar medium', 'subjectScheme': 'var'}, {'subject': 'gas', 'subjectScheme': 'var'}, {'subject': 'microwave spectroscopy', 'subjectScheme': 'var'}, {'subject': 'infrared spectroscopy', 'subjectScheme': 'var'}, {'subject': 'rotational excitation', 'subjectScheme': 'var'}, {'subject': 'rovibrational excitation', 'subjectScheme': 'var'}, {'subject': 'vibrational excitation', 'subjectScheme': 'var'}, {'subject': 'electronic excitation', 'subjectScheme': 'var'}, {'subject': 'collisional rate coefficients', 'subjectScheme': 'var'}, {'subject': 'fine structure', 'subjectScheme': 'var'}, {'subject': 'hyperfine structure', 'subjectScheme': 'var'}]",,['Radex']
-10.17178/amma-catch.pa.met_snnr,"Meteorological dataset (including radiative budget and soil variables), in the Niakhar site (Ragola station), Senegal","IRD, CNRS-INSU, OSUG, OMP, OREME",2018,en,Dataset,"Creative Commons Attribution 4.0 International,Data access and use are ruled by the AMMA-CATCH data policy.,For any publication using AMMA-CATCH data, authors are asked to:
+Co-authorship: depending on the contribution of the data to the scientific results obtained, the authors should either propose co-authorship to the data providers or at least acknowledge their contribution.","Documentation of daily rainfall in Northern Sahel. The aim is to characterize the temporal and spatial variability within the Hombori super-site. Data will be used in modelling and assimilation activities, as well as for validation of satellite products. The synoptic meteorological Hombori station has stopped to operate since 2011.",mds,True,findable,0,0,1,0,0,2018-03-16T15:37:12.000Z,2018-03-16T15:37:12.000Z,inist.osug,jbru,"Daily rainfall, precipitation, tropical convection,Sahelian/Saharan climate,Precipitation Amount","[{'subject': 'Daily rainfall, precipitation, tropical convection', 'subjectScheme': 'main'}, {'subject': 'Sahelian/Saharan climate', 'subjectScheme': 'main'}, {'subject': 'Precipitation Amount', 'subjectScheme': 'var'}]",,"['CSV', 'NETCDF', 'O&M 1.0']"
+10.5281/zenodo.4761357,"Fig. 92 in Two New Species Of Dictyogenus Klapálek, 1904 (Plecoptera: Perlodidae) From The Jura Mountains Of France And Switzerland, And From The French Vercors And Chartreuse Massifs",Zenodo,2019,,Image,"Creative Commons Attribution 4.0 International,Open Access","Fig. 92. Distribution map of Dictyogenus species in the Central and Western Alps. Legend: Dictyogenus jurassicum, yellow dots; D. muranyii, black dots; D. alpinum, red dots; D. fontium species complex, blue dots. Distribution data are those of the authors and Opie-Benthos. Map data: SRTM V4 (http://srtm.csi.cgiar.org), generated with ArcGIS version 10.3.0.4322.",mds,True,findable,0,0,4,0,0,2021-05-14T07:52:50.000Z,2021-05-14T07:52:50.000Z,cern.zenodo,cern,"Biodiversity,Taxonomy,Animalia,Arthropoda,Insecta,Plecoptera,Perlodidae,Dictyogenus","[{'subject': 'Biodiversity'}, {'subject': 'Taxonomy'}, {'subject': 'Animalia'}, {'subject': 'Arthropoda'}, {'subject': 'Insecta'}, {'subject': 'Plecoptera'}, {'subject': 'Perlodidae'}, {'subject': 'Dictyogenus'}]",,
+10.18709/perscido.2021.12.ds363,Redundant Apodized Pupils (RAP),PerSCiDo,2021,en,Dataset,,"The RAP concept can be applied on coronagraphic instruments combined with segmented primary mirror telescope. It aims to reduce the constraints of segment phasing (piston, tip, and tilt) by 1) optimizing the apodization of the elementary segment and 2) reproducing this apodization on all segments, mimicking the mirror segmentation. In Leboulleux et al. [submitted in 2021], the RAP concept is applied on a Giant Magellan telescope- like pupil combined with an Apodized Pupil Lyot Coronagraph (APLC) on one hand and with an Apodizing Phase Plate (APP) coronagraph on the other hand. This folder provides all the files to reproduce the coronagraphs of the paper and test their robustness.",fabrica,True,findable,0,0,0,0,0,2021-12-13T11:07:37.000Z,2021-12-13T11:07:38.000Z,inist.persyval,vcob,Astrophysics and astronomy,"[{'lang': 'en', 'subject': 'Astrophysics and astronomy'}]",['10 mo'],['.fits']
+10.6084/m9.figshare.c.6604292,Predictors of changing patterns of adherence to containment measures during the early stage of COVID-19 pandemic: an international longitudinal study,figshare,2023,,Collection,Creative Commons Attribution 4.0 International,"Abstract Background Identifying common factors that affect public adherence to COVID-19 containment measures can directly inform the development of official public health communication strategies. The present international longitudinal study aimed to examine whether prosociality, together with other theoretically derived motivating factors (self-efficacy, perceived susceptibility and severity of COVID-19, perceived social support) predict the change in adherence to COVID-19 containment strategies. Method In wave 1 of data collection, adults from eight geographical regions completed online surveys beginning in April 2020, and wave 2 began in June and ended in September 2020. Hypothesized predictors included prosociality, self-efficacy in following COVID-19 containment measures, perceived susceptibility to COVID-19, perceived severity of COVID-19 and perceived social support. Baseline covariates included age, sex, history of COVID-19 infection and geographical regions. Participants who reported adhering to specific containment measures, including physical distancing, avoidance of non-essential travel and hand hygiene, were classified as adherence. The dependent variable was the category of adherence, which was constructed based on changes in adherence across the survey period and included four categories: non-adherence, less adherence, greater adherence and sustained adherence (which was designated as the reference category). Results In total, 2189 adult participants (82% female, 57.2% aged 31–59 years) from East Asia (217 [9.7%]), West Asia (246 [11.2%]), North and South America (131 [6.0%]), Northern Europe (600 [27.4%]), Western Europe (322 [14.7%]), Southern Europe (433 [19.8%]), Eastern Europe (148 [6.8%]) and other regions (96 [4.4%]) were analyzed. Adjusted multinomial logistic regression analyses showed that prosociality, self-efficacy, perceived susceptibility and severity of COVID-19 were significant factors affecting adherence. Participants with greater self-efficacy at wave 1 were less likely to become non-adherence at wave 2 by 26% (adjusted odds ratio [aOR], 0.74; 95% CI, 0.71 to 0.77; P < .001), while those with greater prosociality at wave 1 were less likely to become less adherence at wave 2 by 23% (aOR, 0.77; 95% CI, 0.75 to 0.79; P = .04). Conclusions This study provides evidence that in addition to emphasizing the potential severity of COVID-19 and the potential susceptibility to contact with the virus, fostering self-efficacy in following containment strategies and prosociality appears to be a viable public health education or communication strategy to combat COVID-19.",mds,True,findable,0,0,0,0,0,2023-04-18T04:38:34.000Z,2023-04-18T04:38:34.000Z,figshare.ars,otjm,"Medicine,Biotechnology,Sociology,FOS: Sociology,69999 Biological Sciences not elsewhere classified,FOS: Biological sciences,Science Policy,110309 Infectious Diseases,FOS: Health sciences","[{'subject': 'Medicine'}, {'subject': 'Biotechnology'}, {'subject': 'Sociology'}, {'subject': 'FOS: Sociology', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': '69999 Biological Sciences not elsewhere classified', 'schemeUri': 'http://www.abs.gov.au/ausstats/abs@.nsf/0/6BB427AB9696C225CA2574180004463E', 'subjectScheme': 'FOR'}, {'subject': 'FOS: Biological sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Science Policy'}, {'subject': '110309 Infectious Diseases', 'schemeUri': 'http://www.abs.gov.au/ausstats/abs@.nsf/0/6BB427AB9696C225CA2574180004463E', 'subjectScheme': 'FOR'}, {'subject': 'FOS: Health sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}]",,
+10.17178/amma-catch.benin,"AMMA-CATCH observatory: upper Oueme mesoscale site (14 000 km2) in the sudanian climate zone, Benin","IRD, CNRS-INSU, OSUG, OMP, OREME",1996,en,Dataset,"Creative Commons Attribution 4.0 International,Data access and use are ruled by the AMMA-CATCH data policy.,For any publication using AMMA-CATCH data, authors are asked to:
Mandatory: cite the reference article and the DOI of the observatory
@@ -3431,10 +2778,8 @@ Mandatory: cite the reference article and the DOI of the observatory
Optional: cite the DOI of each dataset used.
-Co-authorship: depending on the contribution of the data to the scientific results obtained, the authors should either propose co-authorship to the data providers or at least acknowledge their contribution.",Document atmospheric forcing. Contribute to the Ragola flux station.,mds,True,findable,0,0,1,0,0,2021-11-15T12:53:49.000Z,2021-11-15T12:53:50.000Z,inist.osug,jbru,"Meteorology, radiative budget,Sahelian climate,Relative Humidity,Air Temperature","[{'subject': 'Meteorology, radiative budget', 'subjectScheme': 'main'}, {'subject': 'Sahelian climate', 'subjectScheme': 'main'}, {'subject': 'Relative Humidity', 'subjectScheme': 'var'}, {'subject': 'Air Temperature', 'subjectScheme': 'var'}]",,"['CSV', 'NETCDF', 'O&M 1.0']"
-10.17178/gnss.products.japan,GNSS position solutions in Japan,"CNRS, OSUG, ISTERRE",2019,en,Dataset,"License: CC BY-NC-ND 4.0,Data access and use are ruled by the OSUG data policy.,The following acknowledging sentence should appear in publications using ISTerre GNSS products: ""GNSS products are calculated and provided by the Institut of Sciences de la Terre (ISTerre), belonging to the Institut National des Sciences de l’Univers (INSU/CNRS) and the Observatoire des Sciences de l’Univers de Grenoble (OSUG / Université Grenoble Alpes)"".
-You are invited to contact the PI(s) or lead scientist for more information about the data and to include the acknowledgement sentence in any publication using the data.","This dataset includes solutions processed by ISTerre for all Japanese GNSS stations. These products are daily position time series (North, East and Vertical), in the ITRF14 reference frame, calculated from RINEX files using the double difference method with GAMIT software.",mds,True,findable,0,0,1,1,0,2021-03-30T12:07:55.000Z,2021-03-30T12:07:58.000Z,inist.osug,jbru,"GNSS products,GNSS data analysis,Time serie positioning","[{'subject': 'GNSS products', 'subjectScheme': 'main'}, {'subject': 'GNSS data analysis', 'subjectScheme': 'var'}, {'subject': 'Time serie positioning', 'subjectScheme': 'var'}]",,"['pos', 'PBO']"
-10.17178/amma-catch.cl.vegherb_g,"Vegetation dataset (interannual dynamics of herbaceous vegetation), within the Gourma site (30 000 km2), Mali","IRD, CNRS-INSU, OSUG, OMP, OREME",2005,en,Dataset,"Creative Commons Attribution 4.0 International,Data access and use are ruled by the AMMA-CATCH data policy.,For any publication using AMMA-CATCH data, authors are asked to:
+Co-authorship: depending on the contribution of the data to the scientific results obtained, the authors should either propose co-authorship to the data providers or at least acknowledge their contribution.","The Benin meso-scale site of the AMMA-CATCH observatory coincides with the upper basin of the Oueme River. It is centered on 9°5N et 2°E, and covers an area of about 15 000 km². It belongs to the « sudanian » climatic zone (1200 mm/year on avergage). The land cover is mainly composed of mixed crop/fallow, tree savannah landscape, and woodlands. It is representative of the land cover and land use at this latitude. Time series of rainfall and river discharge are available since 1997. Site equipment improved progressively including meteorological, hydrogeological, and ecological observations. Most instruments were made perennial since the launch of the AMMA international experiment in 2005.",mds,True,findable,0,0,1,0,0,2018-03-16T15:36:56.000Z,2018-03-16T15:36:56.000Z,inist.osug,jbru,"Sudanian climate,Precipitation,Surface water,Meteo,Flux,Radiation,Vegetation,Ground water,Soils,Water quality / Water chemistry","[{'subject': 'Sudanian climate', 'subjectScheme': 'main'}, {'subject': 'Precipitation', 'subjectScheme': 'var'}, {'subject': 'Surface water', 'subjectScheme': 'var'}, {'subject': 'Meteo', 'subjectScheme': 'var'}, {'subject': 'Flux', 'subjectScheme': 'var'}, {'subject': 'Radiation', 'subjectScheme': 'var'}, {'subject': 'Vegetation', 'subjectScheme': 'var'}, {'subject': 'Ground water', 'subjectScheme': 'var'}, {'subject': 'Soils', 'subjectScheme': 'var'}, {'subject': 'Water quality / Water chemistry', 'subjectScheme': 'var'}]",,"['CSV', 'NETCDF', 'O&M 1.0']"
+10.17178/amma-catch.cl.rain_cotonou,"Precipitation dataset (5 minutes rainfall), at Cotonou, Benin","IRD, CNRS-INSU, OSUG, OMP, OREME",2008,en,Dataset,"Creative Commons Attribution 4.0 International,Data access and use are ruled by the AMMA-CATCH data policy.,For any publication using AMMA-CATCH data, authors are asked to:
Mandatory: cite the reference article and the DOI of the observatory
@@ -3443,39 +2788,19 @@ Mandatory: cite the reference article and the DOI of the observatory
Optional: cite the DOI of each dataset used.
-Co-authorship: depending on the contribution of the data to the scientific results obtained, the authors should either propose co-authorship to the data providers or at least acknowledge their contribution.",Monitor the inter-annual dynamics of herbaceous productivity (maximum aboveground mass) in relation with climate and land use practice. A network of reading rain gauges (since 2005) are associated to the vegetation sites.,mds,True,findable,0,0,1,0,0,2018-03-16T15:37:18.000Z,2018-03-16T15:37:18.000Z,inist.osug,jbru,"Vegetation yields, vegetation species (when possible),Sahelian/Saharan climate,Aboveground Maximum Herbaceous Mass,Aboveground Maximum Herbaceous Mass Standard Deviation","[{'subject': 'Vegetation yields, vegetation species (when possible)', 'subjectScheme': 'main'}, {'subject': 'Sahelian/Saharan climate', 'subjectScheme': 'main'}, {'subject': 'Aboveground Maximum Herbaceous Mass', 'subjectScheme': 'var'}, {'subject': 'Aboveground Maximum Herbaceous Mass Standard Deviation', 'subjectScheme': 'var'}]",,"['CSV', 'NETCDF', 'O&M 1.0']"
-10.17178/draixbleone_gal_rob_disch_0719,Liquid discharge of the river Galabre at the Robine station of the Galabre watershed,IGE - CNRS - OSUG,2020,en,Dataset,"Always quote below citation to Esteves et al. (2019) when using these data. Esteves M., Legout C., Navratil O., Evrard O. (2019) Medium term high frequency observation of discharges and suspended sediment in a Mediterranean mountainous catchment. Journal of Hydrology 568: 562-574. doi.org/10.1016/j.jhydrol.2018.10.066.,Creative Commons Attribution 4.0 International,The following acknowledging sentence should appear in publications using data and products from the Galabre watershed of the Draix Bleone Observatory: ""DRAIX BLEONE is funded by the Institut National des Sciences de l’Univers (INSU/CNRS) and the Observatoire des Sciences de l’Univers de Grenoble (OSUG / Université Grenoble Alpes)â€.,Always quote below citation to Legout et al. (submitted) when using these data. Legout C., Freche G., Biron R., Esteves M., Nord G, Navratil O., Uber M., Grangeon T., Hachgenei N., Boudevillain B. Voiron C., Spadini L. A critical zone observatory dedicated to suspended sediment transport: the meso-scale Galabre catchment (southern French Alps), submitted to Hydrological Processes.",This discharge data set is part of the DRAIXBLEONE_GAL observatory.,mds,True,findable,0,0,0,0,0,2020-09-15T15:58:40.000Z,2020-09-15T15:58:41.000Z,inist.osug,jbru,"Mediterranean mountainous climate,Surface water,Hydrology","[{'subject': 'Mediterranean mountainous climate', 'subjectScheme': 'main'}, {'subject': 'Surface water', 'subjectScheme': 'var'}, {'subject': 'Hydrology', 'subjectScheme': 'var'}]",,['CSV']
-10.17178/emaa_hc3(15n)_rotation_4dcd1291,"Rotation excitation of HC3[15N] by electron, ortho-H2 and para-H2 collisions","UGA, CNRS, CNRS-INSU, OSUG",2021,en,Dataset,"Please acknowledge the use of EMAA Database by citing the original articles in which the data were published (BibTeX format available), and adding the following sentence in your publication:
-This research has made use of spectroscopic and collisional data from the EMAA database (https://emaa.osug.fr). EMAA is supported by the Observatoire des Sciences de l'Univers de Grenoble (OSUG),Creative Commons Attribution 4.0 International,Data access and use are ruled by the EMAA data policy.",38 rotation energy levels / 37 radiative transitions / 564 collisional transitions for para-H2 (20 temperatures in the range 10-300K) / 564 collisional transitions for ortho-H2 (20 temperatures in the range 10-300K) / 37 collisional transitions for electron (5 temperatures in the range 10-1000K),mds,True,findable,0,0,0,0,0,2021-11-18T13:34:58.000Z,2021-11-18T13:34:59.000Z,inist.osug,jbru,"target HC3[15N],excitationType Rotation,collisional excitation,collider.0 para-H2,collider.1 ortho-H2,collider.2 electron,astrophysics,interstellar medium,comets,circumstellar medium,gas,microwave spectroscopy,infrared spectroscopy,rotational excitation,rovibrational excitation,vibrational excitation,electronic excitation,collisional rate coefficients,fine structure,hyperfine structure","[{'subject': 'target HC3[15N]', 'subjectScheme': 'main'}, {'subject': 'excitationType Rotation', 'subjectScheme': 'main'}, {'subject': 'collisional excitation', 'subjectScheme': 'main'}, {'subject': 'collider.0 para-H2', 'subjectScheme': 'var'}, {'subject': 'collider.1 ortho-H2', 'subjectScheme': 'var'}, {'subject': 'collider.2 electron', 'subjectScheme': 'var'}, {'subject': 'astrophysics', 'subjectScheme': 'var'}, {'subject': 'interstellar medium', 'subjectScheme': 'var'}, {'subject': 'comets', 'subjectScheme': 'var'}, {'subject': 'circumstellar medium', 'subjectScheme': 'var'}, {'subject': 'gas', 'subjectScheme': 'var'}, {'subject': 'microwave spectroscopy', 'subjectScheme': 'var'}, {'subject': 'infrared spectroscopy', 'subjectScheme': 'var'}, {'subject': 'rotational excitation', 'subjectScheme': 'var'}, {'subject': 'rovibrational excitation', 'subjectScheme': 'var'}, {'subject': 'vibrational excitation', 'subjectScheme': 'var'}, {'subject': 'electronic excitation', 'subjectScheme': 'var'}, {'subject': 'collisional rate coefficients', 'subjectScheme': 'var'}, {'subject': 'fine structure', 'subjectScheme': 'var'}, {'subject': 'hyperfine structure', 'subjectScheme': 'var'}]",,['Radex']
-10.17178/emaa_(38ar)h-plus_rotation_4186bb1b,Rotation excitation of [38Ar]H+ by H and electron collisions,"UGA, CNRS, CNRS-INSU, OSUG",2021,en,Dataset,"Please acknowledge the use of EMAA Database by citing the original articles in which the data were published (BibTeX format available), and adding the following sentence in your publication:
-This research has made use of spectroscopic and collisional data from the EMAA database (https://emaa.osug.fr). EMAA is supported by the Observatoire des Sciences de l'Univers de Grenoble (OSUG),Creative Commons Attribution 4.0 International,Data access and use are ruled by the EMAA data policy.",12 rotation energy levels / 11 radiative transitions / 66 collisional transitions for H (34 temperatures in the range 10-1000K) / 60 collisional transitions for electron (12 temperatures in the range 10-3000K),mds,True,findable,0,0,0,0,0,2021-11-18T13:34:33.000Z,2021-11-18T13:34:33.000Z,inist.osug,jbru,"target [38Ar]H+,excitationType Rotation,collisional excitation,collider.0 H,collider.1 electron,astrophysics,interstellar medium,comets,circumstellar medium,gas,microwave spectroscopy,infrared spectroscopy,rotational excitation,rovibrational excitation,vibrational excitation,electronic excitation,collisional rate coefficients,fine structure,hyperfine structure","[{'subject': 'target [38Ar]H+', 'subjectScheme': 'main'}, {'subject': 'excitationType Rotation', 'subjectScheme': 'main'}, {'subject': 'collisional excitation', 'subjectScheme': 'main'}, {'subject': 'collider.0 H', 'subjectScheme': 'var'}, {'subject': 'collider.1 electron', 'subjectScheme': 'var'}, {'subject': 'astrophysics', 'subjectScheme': 'var'}, {'subject': 'interstellar medium', 'subjectScheme': 'var'}, {'subject': 'comets', 'subjectScheme': 'var'}, {'subject': 'circumstellar medium', 'subjectScheme': 'var'}, {'subject': 'gas', 'subjectScheme': 'var'}, {'subject': 'microwave spectroscopy', 'subjectScheme': 'var'}, {'subject': 'infrared spectroscopy', 'subjectScheme': 'var'}, {'subject': 'rotational excitation', 'subjectScheme': 'var'}, {'subject': 'rovibrational excitation', 'subjectScheme': 'var'}, {'subject': 'vibrational excitation', 'subjectScheme': 'var'}, {'subject': 'electronic excitation', 'subjectScheme': 'var'}, {'subject': 'collisional rate coefficients', 'subjectScheme': 'var'}, {'subject': 'fine structure', 'subjectScheme': 'var'}, {'subject': 'hyperfine structure', 'subjectScheme': 'var'}]",,['Radex']
-10.17178/ohmcv.dsd.vb3.12-16.1,"DSD network, Villeneuve-de-Berg-3",CNRS - OSUG - OREME,2011,en,Dataset,"Data access and use are ruled by the OHMCV data policy.,The following acknowledging sentence should appear in publications using OHMCV data and products: ""OHMCV is funded by the Institut National des Sciences de l’Univers (INSU/CNRS) and the Observatoire des Sciences de l’Univers de Grenoble (OSUG / Université Grenoble Alpes)â€.",This dataset is part of the Cevennesâ€Vivarais Mediterranean Hydrometeorological Observatory (OHMCV),mds,True,findable,0,0,2,0,0,2017-10-17T13:24:26.000Z,2017-10-17T13:24:27.000Z,inist.osug,jbru,"Atmospheric conditions,Precipitation,Precipitation Rate,Droplet Size,DISDROMETERS,Ground networks,Hydrometeorological sites,Fixed Observation Stations","[{'subject': 'Atmospheric conditions', 'subjectScheme': 'main'}, {'subject': 'Precipitation', 'subjectScheme': 'main'}, {'subject': 'Precipitation Rate', 'subjectScheme': 'main'}, {'subject': 'Droplet Size', 'subjectScheme': 'main'}, {'subject': 'DISDROMETERS', 'subjectScheme': 'main'}, {'subject': 'Ground networks', 'subjectScheme': 'main'}, {'subject': 'Hydrometeorological sites', 'subjectScheme': 'main'}, {'subject': 'Fixed Observation Stations', 'subjectScheme': 'main'}]",,['NETCDF']
-10.17178/emaa_c(18o)_rotation_1175b5dd,"Rotation excitation of C[18O] by CO, ortho-H2, ortho-H2O, para-H2 and para-H2O collisions","UGA, CNRS, CNRS-INSU, OSUG",2023,en,Dataset,"Please acknowledge the use of EMAA Database by citing the original articles in which the data were published (BibTeX format available), and adding the following sentence in your publication:
-This research has made use of spectroscopic and collisional data from the EMAA database (https://emaa.osug.fr). EMAA is supported by the Observatoire des Sciences de l'Univers de Grenoble (OSUG),Creative Commons Attribution 4.0 International,Data access and use are ruled by the EMAA data policy.",11 rotation energy levels / 10 radiative transitions / 55 collisional transitions for para-H2O (20 temperatures in the range 5-100K) / 55 collisional transitions for ortho-H2O (20 temperatures in the range 5-100K) / 91 collisional transitions for para-H2 (11 temperatures in the range 5-400K) / 91 collisional transitions for ortho-H2 (11 temperatures in the range 5-400K) / 55 collisional transitions for CO (15 temperatures in the range 10-150K),mds,True,findable,0,0,0,0,0,2023-12-07T15:50:38.000Z,2023-12-07T15:50:38.000Z,inist.osug,jbru,"target C[18O],excitationType Rotation,collisional excitation,collider.0 para-H2O,collider.1 ortho-H2O,collider.2 para-H2,collider.3 ortho-H2,collider.4 CO,astrophysics,interstellar medium,comets,circumstellar medium,gas,microwave spectroscopy,infrared spectroscopy,rotational excitation,rovibrational excitation,vibrational excitation,electronic excitation,collisional rate coefficients,fine structure,hyperfine structure","[{'subject': 'target C[18O]', 'subjectScheme': 'main'}, {'subject': 'excitationType Rotation', 'subjectScheme': 'main'}, {'subject': 'collisional excitation', 'subjectScheme': 'main'}, {'subject': 'collider.0 para-H2O', 'subjectScheme': 'var'}, {'subject': 'collider.1 ortho-H2O', 'subjectScheme': 'var'}, {'subject': 'collider.2 para-H2', 'subjectScheme': 'var'}, {'subject': 'collider.3 ortho-H2', 'subjectScheme': 'var'}, {'subject': 'collider.4 CO', 'subjectScheme': 'var'}, {'subject': 'astrophysics', 'subjectScheme': 'var'}, {'subject': 'interstellar medium', 'subjectScheme': 'var'}, {'subject': 'comets', 'subjectScheme': 'var'}, {'subject': 'circumstellar medium', 'subjectScheme': 'var'}, {'subject': 'gas', 'subjectScheme': 'var'}, {'subject': 'microwave spectroscopy', 'subjectScheme': 'var'}, {'subject': 'infrared spectroscopy', 'subjectScheme': 'var'}, {'subject': 'rotational excitation', 'subjectScheme': 'var'}, {'subject': 'rovibrational excitation', 'subjectScheme': 'var'}, {'subject': 'vibrational excitation', 'subjectScheme': 'var'}, {'subject': 'electronic excitation', 'subjectScheme': 'var'}, {'subject': 'collisional rate coefficients', 'subjectScheme': 'var'}, {'subject': 'fine structure', 'subjectScheme': 'var'}, {'subject': 'hyperfine structure', 'subjectScheme': 'var'}]",,['Radex']
-10.17178/emaa_(40ar)h-plus_rotation_8c27af9a,Rotation excitation of [40Ar]H+ by H and electron collisions,"UGA, CNRS, CNRS-INSU, OSUG",2021,en,Dataset,"Please acknowledge the use of EMAA Database by citing the original articles in which the data were published (BibTeX format available), and adding the following sentence in your publication:
-This research has made use of spectroscopic and collisional data from the EMAA database (https://emaa.osug.fr). EMAA is supported by the Observatoire des Sciences de l'Univers de Grenoble (OSUG),Creative Commons Attribution 4.0 International,Data access and use are ruled by the EMAA data policy.",12 rotation energy levels / 11 radiative transitions / 66 collisional transitions for H (34 temperatures in the range 10-1000K) / 60 collisional transitions for electron (12 temperatures in the range 10-3000K),mds,True,findable,0,0,0,0,0,2021-11-18T13:34:35.000Z,2021-11-18T13:34:36.000Z,inist.osug,jbru,"target [40Ar]H+,excitationType Rotation,collisional excitation,collider.0 H,collider.1 electron,astrophysics,interstellar medium,comets,circumstellar medium,gas,microwave spectroscopy,infrared spectroscopy,rotational excitation,rovibrational excitation,vibrational excitation,electronic excitation,collisional rate coefficients,fine structure,hyperfine structure","[{'subject': 'target [40Ar]H+', 'subjectScheme': 'main'}, {'subject': 'excitationType Rotation', 'subjectScheme': 'main'}, {'subject': 'collisional excitation', 'subjectScheme': 'main'}, {'subject': 'collider.0 H', 'subjectScheme': 'var'}, {'subject': 'collider.1 electron', 'subjectScheme': 'var'}, {'subject': 'astrophysics', 'subjectScheme': 'var'}, {'subject': 'interstellar medium', 'subjectScheme': 'var'}, {'subject': 'comets', 'subjectScheme': 'var'}, {'subject': 'circumstellar medium', 'subjectScheme': 'var'}, {'subject': 'gas', 'subjectScheme': 'var'}, {'subject': 'microwave spectroscopy', 'subjectScheme': 'var'}, {'subject': 'infrared spectroscopy', 'subjectScheme': 'var'}, {'subject': 'rotational excitation', 'subjectScheme': 'var'}, {'subject': 'rovibrational excitation', 'subjectScheme': 'var'}, {'subject': 'vibrational excitation', 'subjectScheme': 'var'}, {'subject': 'electronic excitation', 'subjectScheme': 'var'}, {'subject': 'collisional rate coefficients', 'subjectScheme': 'var'}, {'subject': 'fine structure', 'subjectScheme': 'var'}, {'subject': 'hyperfine structure', 'subjectScheme': 'var'}]",,['Radex']
-10.17178/emaa_para-d2s_rotation_1e071ded,Rotation excitation of para-D2S by ortho-H2 and para-H2 collisions,"UGA, CNRS, CNRS-INSU, OSUG",2022,en,Dataset,"Please acknowledge the use of EMAA Database by citing the original articles in which the data were published (BibTeX format available), and adding the following sentence in your publication:
-This research has made use of spectroscopic and collisional data from the EMAA database (https://emaa.osug.fr). EMAA is supported by the Observatoire des Sciences de l'Univers de Grenoble (OSUG),Creative Commons Attribution 4.0 International,Data access and use are ruled by the EMAA data policy.",25 rotation energy levels / 54 radiative transitions / 300 collisional transitions for ortho-H2 (11 temperatures in the range 5-400K) / 300 collisional transitions for para-H2 (11 temperatures in the range 5-400K),mds,True,findable,0,0,0,0,0,2023-12-07T15:52:09.000Z,2023-12-07T15:52:09.000Z,inist.osug,jbru,"target para-D2S,excitationType Rotation,collisional excitation,collider.0 ortho-H2,collider.1 para-H2,astrophysics,interstellar medium,comets,circumstellar medium,gas,microwave spectroscopy,infrared spectroscopy,rotational excitation,rovibrational excitation,vibrational excitation,electronic excitation,collisional rate coefficients,fine structure,hyperfine structure","[{'subject': 'target para-D2S', 'subjectScheme': 'main'}, {'subject': 'excitationType Rotation', 'subjectScheme': 'main'}, {'subject': 'collisional excitation', 'subjectScheme': 'main'}, {'subject': 'collider.0 ortho-H2', 'subjectScheme': 'var'}, {'subject': 'collider.1 para-H2', 'subjectScheme': 'var'}, {'subject': 'astrophysics', 'subjectScheme': 'var'}, {'subject': 'interstellar medium', 'subjectScheme': 'var'}, {'subject': 'comets', 'subjectScheme': 'var'}, {'subject': 'circumstellar medium', 'subjectScheme': 'var'}, {'subject': 'gas', 'subjectScheme': 'var'}, {'subject': 'microwave spectroscopy', 'subjectScheme': 'var'}, {'subject': 'infrared spectroscopy', 'subjectScheme': 'var'}, {'subject': 'rotational excitation', 'subjectScheme': 'var'}, {'subject': 'rovibrational excitation', 'subjectScheme': 'var'}, {'subject': 'vibrational excitation', 'subjectScheme': 'var'}, {'subject': 'electronic excitation', 'subjectScheme': 'var'}, {'subject': 'collisional rate coefficients', 'subjectScheme': 'var'}, {'subject': 'fine structure', 'subjectScheme': 'var'}, {'subject': 'hyperfine structure', 'subjectScheme': 'var'}]",,['Radex']
-10.17178/emaa_dcn_rotation_0d1b1e03,"Rotation excitation of DCN by electron, ortho-H2 and para-H2 collisions","UGA, CNRS, CNRS-INSU, OSUG",2021,en,Dataset,"Please acknowledge the use of EMAA Database by citing the original articles in which the data were published (BibTeX format available), and adding the following sentence in your publication:
-This research has made use of spectroscopic and collisional data from the EMAA database (https://emaa.osug.fr). EMAA is supported by the Observatoire des Sciences de l'Univers de Grenoble (OSUG),Creative Commons Attribution 4.0 International,Data access and use are ruled by the EMAA data policy.",22 rotation energy levels / 21 radiative transitions / 231 collisional transitions for para-H2 (12 temperatures in the range 5-500K) / 231 collisional transitions for ortho-H2 (12 temperatures in the range 5-500K) / 36 collisional transitions for electron (10 temperatures in the range 10-1000K),mds,True,findable,0,0,0,0,0,2022-02-07T11:24:25.000Z,2022-02-07T11:24:26.000Z,inist.osug,jbru,"target DCN,excitationType Rotation,collisional excitation,collider.0 para-H2,collider.1 ortho-H2,collider.2 electron,astrophysics,interstellar medium,comets,circumstellar medium,gas,microwave spectroscopy,infrared spectroscopy,rotational excitation,rovibrational excitation,vibrational excitation,electronic excitation,collisional rate coefficients,fine structure,hyperfine structure","[{'subject': 'target DCN', 'subjectScheme': 'main'}, {'subject': 'excitationType Rotation', 'subjectScheme': 'main'}, {'subject': 'collisional excitation', 'subjectScheme': 'main'}, {'subject': 'collider.0 para-H2', 'subjectScheme': 'var'}, {'subject': 'collider.1 ortho-H2', 'subjectScheme': 'var'}, {'subject': 'collider.2 electron', 'subjectScheme': 'var'}, {'subject': 'astrophysics', 'subjectScheme': 'var'}, {'subject': 'interstellar medium', 'subjectScheme': 'var'}, {'subject': 'comets', 'subjectScheme': 'var'}, {'subject': 'circumstellar medium', 'subjectScheme': 'var'}, {'subject': 'gas', 'subjectScheme': 'var'}, {'subject': 'microwave spectroscopy', 'subjectScheme': 'var'}, {'subject': 'infrared spectroscopy', 'subjectScheme': 'var'}, {'subject': 'rotational excitation', 'subjectScheme': 'var'}, {'subject': 'rovibrational excitation', 'subjectScheme': 'var'}, {'subject': 'vibrational excitation', 'subjectScheme': 'var'}, {'subject': 'electronic excitation', 'subjectScheme': 'var'}, {'subject': 'collisional rate coefficients', 'subjectScheme': 'var'}, {'subject': 'fine structure', 'subjectScheme': 'var'}, {'subject': 'hyperfine structure', 'subjectScheme': 'var'}]",,['Radex']
-10.17178/emaa_ch2nh_rotation_6a3d5ab2,Rotation excitation of CH2NH by para-H2 collisions,"UGA, CNRS, CNRS-INSU, OSUG",2023,en,Dataset,"Please acknowledge the use of EMAA Database by citing the original articles in which the data were published (BibTeX format available), and adding the following sentence in your publication:
-This research has made use of spectroscopic and collisional data from the EMAA database (https://emaa.osug.fr). EMAA is supported by the Observatoire des Sciences de l'Univers de Grenoble (OSUG),Creative Commons Attribution 4.0 International,Data access and use are ruled by the EMAA data policy.",15 rotation energy levels / 31 radiative transitions / 105 collisional transitions for para-H2 (6 temperatures in the range 5-30K),mds,True,findable,0,0,0,0,0,2023-12-07T15:50:43.000Z,2023-12-07T15:50:43.000Z,inist.osug,jbru,"target CH2NH,excitationType Rotation,collisional excitation,collider.0 para-H2,astrophysics,interstellar medium,comets,circumstellar medium,gas,microwave spectroscopy,infrared spectroscopy,rotational excitation,rovibrational excitation,vibrational excitation,electronic excitation,collisional rate coefficients,fine structure,hyperfine structure","[{'subject': 'target CH2NH', 'subjectScheme': 'main'}, {'subject': 'excitationType Rotation', 'subjectScheme': 'main'}, {'subject': 'collisional excitation', 'subjectScheme': 'main'}, {'subject': 'collider.0 para-H2', 'subjectScheme': 'var'}, {'subject': 'astrophysics', 'subjectScheme': 'var'}, {'subject': 'interstellar medium', 'subjectScheme': 'var'}, {'subject': 'comets', 'subjectScheme': 'var'}, {'subject': 'circumstellar medium', 'subjectScheme': 'var'}, {'subject': 'gas', 'subjectScheme': 'var'}, {'subject': 'microwave spectroscopy', 'subjectScheme': 'var'}, {'subject': 'infrared spectroscopy', 'subjectScheme': 'var'}, {'subject': 'rotational excitation', 'subjectScheme': 'var'}, {'subject': 'rovibrational excitation', 'subjectScheme': 'var'}, {'subject': 'vibrational excitation', 'subjectScheme': 'var'}, {'subject': 'electronic excitation', 'subjectScheme': 'var'}, {'subject': 'collisional rate coefficients', 'subjectScheme': 'var'}, {'subject': 'fine structure', 'subjectScheme': 'var'}, {'subject': 'hyperfine structure', 'subjectScheme': 'var'}]",,['Radex']
-10.17178/emaa_(13c)n_hyperfine_18ebf4d6,Hyperfine excitation of [13C]N by para-H2 collisions,"UGA, CNRS, CNRS-INSU, OSUG",2021,en,Dataset,"Please acknowledge the use of EMAA Database by citing the original articles in which the data were published (BibTeX format available), and adding the following sentence in your publication:
-This research has made use of spectroscopic and collisional data from the EMAA database (https://emaa.osug.fr). EMAA is supported by the Observatoire des Sciences de l'Univers de Grenoble (OSUG),Creative Commons Attribution 4.0 International,Data access and use are ruled by the EMAA data policy.",98 hyperfine energy levels / 503 radiative transitions / 4655 collisional transitions for para-H2 (16 temperatures in the range 5-80K),mds,True,findable,0,0,0,0,0,2021-11-18T13:34:28.000Z,2021-11-18T13:34:29.000Z,inist.osug,jbru,"target [13C]N,excitationType Hyperfine,collisional excitation,collider.0 para-H2,astrophysics,interstellar medium,comets,circumstellar medium,gas,microwave spectroscopy,infrared spectroscopy,rotational excitation,rovibrational excitation,vibrational excitation,electronic excitation,collisional rate coefficients,fine structure,hyperfine structure","[{'subject': 'target [13C]N', 'subjectScheme': 'main'}, {'subject': 'excitationType Hyperfine', 'subjectScheme': 'main'}, {'subject': 'collisional excitation', 'subjectScheme': 'main'}, {'subject': 'collider.0 para-H2', 'subjectScheme': 'var'}, {'subject': 'astrophysics', 'subjectScheme': 'var'}, {'subject': 'interstellar medium', 'subjectScheme': 'var'}, {'subject': 'comets', 'subjectScheme': 'var'}, {'subject': 'circumstellar medium', 'subjectScheme': 'var'}, {'subject': 'gas', 'subjectScheme': 'var'}, {'subject': 'microwave spectroscopy', 'subjectScheme': 'var'}, {'subject': 'infrared spectroscopy', 'subjectScheme': 'var'}, {'subject': 'rotational excitation', 'subjectScheme': 'var'}, {'subject': 'rovibrational excitation', 'subjectScheme': 'var'}, {'subject': 'vibrational excitation', 'subjectScheme': 'var'}, {'subject': 'electronic excitation', 'subjectScheme': 'var'}, {'subject': 'collisional rate coefficients', 'subjectScheme': 'var'}, {'subject': 'fine structure', 'subjectScheme': 'var'}, {'subject': 'hyperfine structure', 'subjectScheme': 'var'}]",,['Radex']
-10.17178/emaa_hco-plus_rotation_a861ef7a,"Rotation excitation of HCO+ by electron, ortho-H2 and para-H2 collisions","UGA, CNRS, CNRS-INSU, OSUG",2021,en,Dataset,"Please acknowledge the use of EMAA Database by citing the original articles in which the data were published (BibTeX format available), and adding the following sentence in your publication:
-This research has made use of spectroscopic and collisional data from the EMAA database (https://emaa.osug.fr). EMAA is supported by the Observatoire des Sciences de l'Univers de Grenoble (OSUG),Creative Commons Attribution 4.0 International,Data access and use are ruled by the EMAA data policy.",22 rotation energy levels / 21 radiative transitions / 132 collisional transitions for electron (12 temperatures in the range 10-1000K) / 231 collisional transitions for ortho-H2 (9 temperatures in the range 10-200K) / 231 collisional transitions for para-H2 (9 temperatures in the range 10-200K),mds,True,findable,0,0,0,0,0,2021-11-18T13:35:08.000Z,2021-11-18T13:35:08.000Z,inist.osug,jbru,"target HCO+,excitationType Rotation,collisional excitation,collider.0 electron,collider.1 ortho-H2,collider.2 para-H2,astrophysics,interstellar medium,comets,circumstellar medium,gas,microwave spectroscopy,infrared spectroscopy,rotational excitation,rovibrational excitation,vibrational excitation,electronic excitation,collisional rate coefficients,fine structure,hyperfine structure","[{'subject': 'target HCO+', 'subjectScheme': 'main'}, {'subject': 'excitationType Rotation', 'subjectScheme': 'main'}, {'subject': 'collisional excitation', 'subjectScheme': 'main'}, {'subject': 'collider.0 electron', 'subjectScheme': 'var'}, {'subject': 'collider.1 ortho-H2', 'subjectScheme': 'var'}, {'subject': 'collider.2 para-H2', 'subjectScheme': 'var'}, {'subject': 'astrophysics', 'subjectScheme': 'var'}, {'subject': 'interstellar medium', 'subjectScheme': 'var'}, {'subject': 'comets', 'subjectScheme': 'var'}, {'subject': 'circumstellar medium', 'subjectScheme': 'var'}, {'subject': 'gas', 'subjectScheme': 'var'}, {'subject': 'microwave spectroscopy', 'subjectScheme': 'var'}, {'subject': 'infrared spectroscopy', 'subjectScheme': 'var'}, {'subject': 'rotational excitation', 'subjectScheme': 'var'}, {'subject': 'rovibrational excitation', 'subjectScheme': 'var'}, {'subject': 'vibrational excitation', 'subjectScheme': 'var'}, {'subject': 'electronic excitation', 'subjectScheme': 'var'}, {'subject': 'collisional rate coefficients', 'subjectScheme': 'var'}, {'subject': 'fine structure', 'subjectScheme': 'var'}, {'subject': 'hyperfine structure', 'subjectScheme': 'var'}]",,['Radex']
-10.17178/zaa_soil_temp.pne,Long term monitoring of near surface soil temperature in the Ecrins National Park,UGA – OSUG – PNE,2021,en,Dataset,"Creative Commons Attribution 4.0 International,For any publication using ZAA data, depending on the contribution of the data to the scientific results obtained, data users should either propose co-authorship to the data providers (doi Project leaders) or at least acknowledge their contribution.
-The acknowledging sentence which should appear in publications using ZAA temp-soil data and products is in the readme file joint with the dataset","Monitoring of near-surface soil temperature in seasonaly snow-covered, mountain ecosystems located in the Ecrins National Park. Data are part of several research projects and monitoring programs examining the impact of climate change on snow cover dynamics, microclimate, species distribution and ecosystem functioning. Data include a GPS position, a date and time in UTC and a near-surface soil temperature (in °C) measured at 5 cm belowground using stand-alone temperature data logger.",mds,True,findable,0,0,0,0,0,2021-07-13T13:43:48.000Z,2021-07-13T13:43:50.000Z,inist.osug,jbru,"microclimate,mountain climate,long-term monitoring,soil,root zone,cold zone ecosystem,soil temperature","[{'subject': 'microclimate', 'subjectScheme': 'main'}, {'subject': 'mountain climate', 'subjectScheme': 'main'}, {'subject': 'long-term monitoring', 'subjectScheme': 'main'}, {'subject': 'soil', 'subjectScheme': 'main'}, {'subject': 'root zone', 'subjectScheme': 'main'}, {'subject': 'cold zone ecosystem', 'subjectScheme': 'main'}, {'subject': 'soil temperature', 'subjectScheme': 'var'}]",,['CSV']
-10.17178/emaa_n2d-plus_hyperfine_39813cf9,Hyperfine excitation of N2D+ by para-H2 collisions,"UGA, CNRS, CNRS-INSU, OSUG",2021,en,Dataset,"Please acknowledge the use of EMAA Database by citing the original articles in which the data were published (BibTeX format available), and adding the following sentence in your publication:
-This research has made use of spectroscopic and collisional data from the EMAA database (https://emaa.osug.fr). EMAA is supported by the Observatoire des Sciences de l'Univers de Grenoble (OSUG),Creative Commons Attribution 4.0 International,Data access and use are ruled by the EMAA data policy.",37 hyperfine energy levels / 89 radiative transitions / 626 collisional transitions for para-H2 (14 temperatures in the range 5-70K),mds,True,findable,0,0,0,0,0,2021-11-18T13:35:21.000Z,2021-11-18T13:35:22.000Z,inist.osug,jbru,"target N2D+,excitationType Hyperfine,collisional excitation,collider.0 para-H2,astrophysics,interstellar medium,comets,circumstellar medium,gas,microwave spectroscopy,infrared spectroscopy,rotational excitation,rovibrational excitation,vibrational excitation,electronic excitation,collisional rate coefficients,fine structure,hyperfine structure","[{'subject': 'target N2D+', 'subjectScheme': 'main'}, {'subject': 'excitationType Hyperfine', 'subjectScheme': 'main'}, {'subject': 'collisional excitation', 'subjectScheme': 'main'}, {'subject': 'collider.0 para-H2', 'subjectScheme': 'var'}, {'subject': 'astrophysics', 'subjectScheme': 'var'}, {'subject': 'interstellar medium', 'subjectScheme': 'var'}, {'subject': 'comets', 'subjectScheme': 'var'}, {'subject': 'circumstellar medium', 'subjectScheme': 'var'}, {'subject': 'gas', 'subjectScheme': 'var'}, {'subject': 'microwave spectroscopy', 'subjectScheme': 'var'}, {'subject': 'infrared spectroscopy', 'subjectScheme': 'var'}, {'subject': 'rotational excitation', 'subjectScheme': 'var'}, {'subject': 'rovibrational excitation', 'subjectScheme': 'var'}, {'subject': 'vibrational excitation', 'subjectScheme': 'var'}, {'subject': 'electronic excitation', 'subjectScheme': 'var'}, {'subject': 'collisional rate coefficients', 'subjectScheme': 'var'}, {'subject': 'fine structure', 'subjectScheme': 'var'}, {'subject': 'hyperfine structure', 'subjectScheme': 'var'}]",,['Radex']
-10.17178/emaa_hcn_rotation_a4d98833,"Rotation excitation of HCN by He, electron, ortho-H2 and para-H2 collisions","UGA, CNRS, CNRS-INSU, OSUG",2021,en,Dataset,"Please acknowledge the use of EMAA Database by citing the original articles in which the data were published (BibTeX format available), and adding the following sentence in your publication:
-This research has made use of spectroscopic and collisional data from the EMAA database (https://emaa.osug.fr). EMAA is supported by the Observatoire des Sciences de l'Univers de Grenoble (OSUG),Creative Commons Attribution 4.0 International,Data access and use are ruled by the EMAA data policy.",22 rotation energy levels / 21 radiative transitions / 36 collisional transitions for electron (12 temperatures in the range 10-1000K) / 231 collisional transitions for He (25 temperatures in the range 5-500K) / 231 collisional transitions for para-H2 (12 temperatures in the range 5-500K) / 231 collisional transitions for ortho-H2 (12 temperatures in the range 5-500K),mds,True,findable,0,0,0,0,0,2021-11-17T14:01:04.000Z,2021-11-17T14:01:05.000Z,inist.osug,jbru,"target HCN,excitationType Rotation,collisional excitation,collider.0 electron,collider.1 He,collider.2 para-H2,collider.3 ortho-H2,astrophysics,interstellar medium,comets,circumstellar medium,gas,microwave spectroscopy,infrared spectroscopy,rotational excitation,rovibrational excitation,vibrational excitation,electronic excitation,collisional rate coefficients,fine structure,hyperfine structure","[{'subject': 'target HCN', 'subjectScheme': 'main'}, {'subject': 'excitationType Rotation', 'subjectScheme': 'main'}, {'subject': 'collisional excitation', 'subjectScheme': 'main'}, {'subject': 'collider.0 electron', 'subjectScheme': 'var'}, {'subject': 'collider.1 He', 'subjectScheme': 'var'}, {'subject': 'collider.2 para-H2', 'subjectScheme': 'var'}, {'subject': 'collider.3 ortho-H2', 'subjectScheme': 'var'}, {'subject': 'astrophysics', 'subjectScheme': 'var'}, {'subject': 'interstellar medium', 'subjectScheme': 'var'}, {'subject': 'comets', 'subjectScheme': 'var'}, {'subject': 'circumstellar medium', 'subjectScheme': 'var'}, {'subject': 'gas', 'subjectScheme': 'var'}, {'subject': 'microwave spectroscopy', 'subjectScheme': 'var'}, {'subject': 'infrared spectroscopy', 'subjectScheme': 'var'}, {'subject': 'rotational excitation', 'subjectScheme': 'var'}, {'subject': 'rovibrational excitation', 'subjectScheme': 'var'}, {'subject': 'vibrational excitation', 'subjectScheme': 'var'}, {'subject': 'electronic excitation', 'subjectScheme': 'var'}, {'subject': 'collisional rate coefficients', 'subjectScheme': 'var'}, {'subject': 'fine structure', 'subjectScheme': 'var'}, {'subject': 'hyperfine structure', 'subjectScheme': 'var'}]",,['Radex']
-10.17178/draixbleone_gal_ain_precip_1920,Precipitation data at the Ainac station of the Galabre watershed,IGE - CNRS - OSUG,2020,en,Dataset,"Creative Commons Attribution 4.0 International,The following acknowledging sentence should appear in publications using data and products from the Galabre watershed of the Draix Bleone Observatory: ""DRAIX BLEONE is funded by the Institut National des Sciences de l’Univers (INSU/CNRS) and the Observatoire des Sciences de l’Univers de Grenoble (OSUG / Université Grenoble Alpes)â€.,Always quote below citation to Legout et al. (submitted) when using these data. Legout C., Freche G., Biron R., Esteves M., Nord G, Navratil O., Uber M., Grangeon T., Hachgenei N., Boudevillain B. Voiron C., Spadini L. A critical zone observatory dedicated to suspended sediment transport: the meso-scale Galabre catchment (southern French Alps), submitted to Hydrological Processes.",This precipitation data set is part of the DRAIXBLEONE_GAL observatory.,mds,True,findable,0,0,0,0,0,2020-09-15T15:58:34.000Z,2020-09-15T15:58:35.000Z,inist.osug,jbru,"Mediterranean mountainous climate,Precipitation","[{'subject': 'Mediterranean mountainous climate', 'subjectScheme': 'main'}, {'subject': 'Precipitation', 'subjectScheme': 'var'}]",,['CSV']
-10.17178/emaa_co_rotation_3d0e1a5c,"Rotation excitation of CO by CO, ortho-H2, ortho-H2O, para-H2 and para-H2O collisions","UGA, CNRS, CNRS-INSU, OSUG",2023,en,Dataset,"Please acknowledge the use of EMAA Database by citing the original articles in which the data were published (BibTeX format available), and adding the following sentence in your publication:
-This research has made use of spectroscopic and collisional data from the EMAA database (https://emaa.osug.fr). EMAA is supported by the Observatoire des Sciences de l'Univers de Grenoble (OSUG),Creative Commons Attribution 4.0 International,Data access and use are ruled by the EMAA data policy.",14 rotation energy levels / 13 radiative transitions / 55 collisional transitions for para-H2O (20 temperatures in the range 5-100K) / 55 collisional transitions for ortho-H2O (20 temperatures in the range 5-100K) / 91 collisional transitions for para-H2 (11 temperatures in the range 5-400K) / 91 collisional transitions for ortho-H2 (11 temperatures in the range 5-400K) / 55 collisional transitions for CO (15 temperatures in the range 10-150K),mds,True,findable,0,0,0,0,0,2023-12-07T15:50:46.000Z,2023-12-07T15:50:47.000Z,inist.osug,jbru,"target CO,excitationType Rotation,collisional excitation,collider.0 para-H2O,collider.1 ortho-H2O,collider.2 para-H2,collider.3 ortho-H2,collider.4 CO,astrophysics,interstellar medium,comets,circumstellar medium,gas,microwave spectroscopy,infrared spectroscopy,rotational excitation,rovibrational excitation,vibrational excitation,electronic excitation,collisional rate coefficients,fine structure,hyperfine structure","[{'subject': 'target CO', 'subjectScheme': 'main'}, {'subject': 'excitationType Rotation', 'subjectScheme': 'main'}, {'subject': 'collisional excitation', 'subjectScheme': 'main'}, {'subject': 'collider.0 para-H2O', 'subjectScheme': 'var'}, {'subject': 'collider.1 ortho-H2O', 'subjectScheme': 'var'}, {'subject': 'collider.2 para-H2', 'subjectScheme': 'var'}, {'subject': 'collider.3 ortho-H2', 'subjectScheme': 'var'}, {'subject': 'collider.4 CO', 'subjectScheme': 'var'}, {'subject': 'astrophysics', 'subjectScheme': 'var'}, {'subject': 'interstellar medium', 'subjectScheme': 'var'}, {'subject': 'comets', 'subjectScheme': 'var'}, {'subject': 'circumstellar medium', 'subjectScheme': 'var'}, {'subject': 'gas', 'subjectScheme': 'var'}, {'subject': 'microwave spectroscopy', 'subjectScheme': 'var'}, {'subject': 'infrared spectroscopy', 'subjectScheme': 'var'}, {'subject': 'rotational excitation', 'subjectScheme': 'var'}, {'subject': 'rovibrational excitation', 'subjectScheme': 'var'}, {'subject': 'vibrational excitation', 'subjectScheme': 'var'}, {'subject': 'electronic excitation', 'subjectScheme': 'var'}, {'subject': 'collisional rate coefficients', 'subjectScheme': 'var'}, {'subject': 'fine structure', 'subjectScheme': 'var'}, {'subject': 'hyperfine structure', 'subjectScheme': 'var'}]",,['Radex']
-10.17178/emaa_para-nd3_rotation_da7fd1bd,Rotation excitation of para-ND3 by para-H2 collisions,"UGA, CNRS, CNRS-INSU, OSUG",2021,en,Dataset,"Please acknowledge the use of EMAA Database by citing the original articles in which the data were published (BibTeX format available), and adding the following sentence in your publication:
-This research has made use of spectroscopic and collisional data from the EMAA database (https://emaa.osug.fr). EMAA is supported by the Observatoire des Sciences de l'Univers de Grenoble (OSUG),Creative Commons Attribution 4.0 International,Data access and use are ruled by the EMAA data policy.",9 rotation energy levels / 8 radiative transitions / 36 collisional transitions for para-H2 (8 temperatures in the range 5-40K),mds,True,findable,0,0,0,0,0,2021-11-17T14:02:08.000Z,2021-11-17T14:02:09.000Z,inist.osug,jbru,"target para-ND3,excitationType Rotation,collisional excitation,collider.0 para-H2,astrophysics,interstellar medium,comets,circumstellar medium,gas,microwave spectroscopy,infrared spectroscopy,rotational excitation,rovibrational excitation,vibrational excitation,electronic excitation,collisional rate coefficients,fine structure,hyperfine structure","[{'subject': 'target para-ND3', 'subjectScheme': 'main'}, {'subject': 'excitationType Rotation', 'subjectScheme': 'main'}, {'subject': 'collisional excitation', 'subjectScheme': 'main'}, {'subject': 'collider.0 para-H2', 'subjectScheme': 'var'}, {'subject': 'astrophysics', 'subjectScheme': 'var'}, {'subject': 'interstellar medium', 'subjectScheme': 'var'}, {'subject': 'comets', 'subjectScheme': 'var'}, {'subject': 'circumstellar medium', 'subjectScheme': 'var'}, {'subject': 'gas', 'subjectScheme': 'var'}, {'subject': 'microwave spectroscopy', 'subjectScheme': 'var'}, {'subject': 'infrared spectroscopy', 'subjectScheme': 'var'}, {'subject': 'rotational excitation', 'subjectScheme': 'var'}, {'subject': 'rovibrational excitation', 'subjectScheme': 'var'}, {'subject': 'vibrational excitation', 'subjectScheme': 'var'}, {'subject': 'electronic excitation', 'subjectScheme': 'var'}, {'subject': 'collisional rate coefficients', 'subjectScheme': 'var'}, {'subject': 'fine structure', 'subjectScheme': 'var'}, {'subject': 'hyperfine structure', 'subjectScheme': 'var'}]",,['Radex']
-10.17178/amma-catch.pa.sw_snf,"Soil dataset (soil moisture and temperature profiles), within the Ferlo site, Senegal","IRD, CNRS-INSU, OSUG, OMP, OREME",2013,en,Dataset,"Creative Commons Attribution 4.0 International,Data access and use are ruled by the AMMA-CATCH data policy.,For any publication using AMMA-CATCH data, authors are asked to:
+Co-authorship: depending on the contribution of the data to the scientific results obtained, the authors should either propose co-authorship to the data providers or at least acknowledge their contribution.","Documentation of rainfall climatology based on a tipping bucket rain gage in the reference point of the DMN station, in the town of Cotonou, in Benin.",mds,True,findable,0,0,1,0,0,2018-03-16T15:37:11.000Z,2018-03-16T15:37:12.000Z,inist.osug,jbru,"Rainfall, precipitation, tropical convection,Sudanian climate,Precipitation Amount (previous 24 hours),Precipitation Amount (previous 5 minutes),Precipitation Amount (previous hour)","[{'subject': 'Rainfall, precipitation, tropical convection', 'subjectScheme': 'main'}, {'subject': 'Sudanian climate', 'subjectScheme': 'main'}, {'subject': 'Precipitation Amount (previous 24 hours)', 'subjectScheme': 'var'}, {'subject': 'Precipitation Amount (previous 5 minutes)', 'subjectScheme': 'var'}, {'subject': 'Precipitation Amount (previous hour)', 'subjectScheme': 'var'}]",,"['CSV', 'NETCDF', 'O&M 1.0']"
+10.17178/emaa_ortho-nd3_rotation_84ab10a1,Rotation excitation of ortho-ND3 by para-H2 collisions,"UGA, CNRS, CNRS-INSU, OSUG",2021,en,Dataset,"Please acknowledge the use of EMAA Database by citing the original articles in which the data were published (BibTeX format available), and adding the following sentence in your publication:
+This research has made use of spectroscopic and collisional data from the EMAA database (https://emaa.osug.fr). EMAA is supported by the Observatoire des Sciences de l'Univers de Grenoble (OSUG),Creative Commons Attribution 4.0 International,Data access and use are ruled by the EMAA data policy.",16 rotation energy levels / 18 radiative transitions / 120 collisional transitions for para-H2 (8 temperatures in the range 5-40K),mds,True,findable,0,0,0,0,0,2021-11-17T14:01:40.000Z,2021-11-17T14:01:42.000Z,inist.osug,jbru,"target ortho-ND3,excitationType Rotation,collisional excitation,collider.0 para-H2,astrophysics,interstellar medium,comets,circumstellar medium,gas,microwave spectroscopy,infrared spectroscopy,rotational excitation,rovibrational excitation,vibrational excitation,electronic excitation,collisional rate coefficients,fine structure,hyperfine structure","[{'subject': 'target ortho-ND3', 'subjectScheme': 'main'}, {'subject': 'excitationType Rotation', 'subjectScheme': 'main'}, {'subject': 'collisional excitation', 'subjectScheme': 'main'}, {'subject': 'collider.0 para-H2', 'subjectScheme': 'var'}, {'subject': 'astrophysics', 'subjectScheme': 'var'}, {'subject': 'interstellar medium', 'subjectScheme': 'var'}, {'subject': 'comets', 'subjectScheme': 'var'}, {'subject': 'circumstellar medium', 'subjectScheme': 'var'}, {'subject': 'gas', 'subjectScheme': 'var'}, {'subject': 'microwave spectroscopy', 'subjectScheme': 'var'}, {'subject': 'infrared spectroscopy', 'subjectScheme': 'var'}, {'subject': 'rotational excitation', 'subjectScheme': 'var'}, {'subject': 'rovibrational excitation', 'subjectScheme': 'var'}, {'subject': 'vibrational excitation', 'subjectScheme': 'var'}, {'subject': 'electronic excitation', 'subjectScheme': 'var'}, {'subject': 'collisional rate coefficients', 'subjectScheme': 'var'}, {'subject': 'fine structure', 'subjectScheme': 'var'}, {'subject': 'hyperfine structure', 'subjectScheme': 'var'}]",,['Radex']
+10.5281/zenodo.10069276,The Effect of Typing Efficiency and Suggestion Accuracy on Usage of Word Suggestions and Entry Speed,Zenodo,2023,en,Dataset,Creative Commons Attribution 4.0 International,"Data collected during our experiments investigating the effect of suggestion accuracy and typing efficiency on usage of word suggestions, and entry speed",api,True,findable,0,0,0,0,0,2023-11-03T12:54:50.000Z,2023-11-03T12:54:50.000Z,cern.zenodo,cern,"writing,word suggestions","[{'subject': 'writing'}, {'subject': 'word suggestions'}]",,
+10.48537/hal-03220330,"Infinite Atmospheres? Ethic Dimensions of and for the Design of Public Spaces, Session 7 – Introduction",Reseau International Ambiances,2020,en,Text,Creative Commons Attribution Non Commercial No Derivatives 2.0 Generic,,mds,True,findable,0,0,0,0,0,2021-06-17T16:48:30.000Z,2021-06-17T16:48:30.000Z,jbru.aau,jbru,,,['2 pages'],['application/pdf']
+10.18709/perscido.2016.10.ds06,MovieLens+IMDb,PerSciDo,2016,en,Dataset,,MovieLens 1M dataset enriched with IMDB on movie attributes.,api,True,findable,0,0,0,0,0,2017-11-03T14:41:05.000Z,2017-11-03T14:41:05.000Z,inist.persyval,vcob,Computer Science,"[{'lang': 'en', 'subject': 'Computer Science'}]",['16 MB'],
+10.5281/zenodo.10069275,The Effect of Typing Efficiency and Suggestion Accuracy on Usage of Word Suggestions and Entry Speed,Zenodo,2023,en,Dataset,Creative Commons Attribution 4.0 International,"Data collected during our experiments investigating the effect of suggestion accuracy and typing efficiency on usage of word suggestions, and entry speed",api,True,findable,0,0,0,0,0,2023-11-03T12:54:51.000Z,2023-11-03T12:54:51.000Z,cern.zenodo,cern,"writing,word suggestions","[{'subject': 'writing'}, {'subject': 'word suggestions'}]",,
+10.17178/gnss.products.deeptrigger.peru,Metadata and daily observation files in RINEX format for the 8 DEEP-trigger GNSS stations installed in Peru,"CNRS, OSUG, ISTERRE",2026,en,Dataset,"License: CC BY-NC-ND 4.0,Data access and use are ruled by the OSUG data policy.,The following acknowledging sentence should appear in publications using ISTerre GNSS products: ""GNSS products are calculated and provided by the Institut of Sciences de la Terre (ISTerre), belonging to the Institut National des Sciences de l’Univers (INSU/CNRS) and the Observatoire des Sciences de l’Univers de Grenoble (OSUG / Université Grenoble Alpes)"".
+You are invited to contact the PI(s) or lead scientist for more information about the data and to include the acknowledgement sentence in any publication using the data.","This dataset includes station metadata in GipsyX staDB format, as well as daily observation RINEX files for the 8 GNSS stations installed in Peru in the frame of the DEEP-trigger project.",mds,True,findable,0,0,0,0,0,2023-04-08T13:17:07.000Z,2023-04-08T13:17:09.000Z,inist.osug,jbru,"GNSS products,GNSS data analysis,Time serie positioning","[{'subject': 'GNSS products', 'subjectScheme': 'main'}, {'subject': 'GNSS data analysis', 'subjectScheme': 'var'}, {'subject': 'Time serie positioning', 'subjectScheme': 'var'}]",,"['pos', 'PBO']"
+10.6084/m9.figshare.21341628,Additional file 1 of Expiratory high-frequency percussive ventilation: a novel concept for improving gas exchange,figshare,2022,,Text,Creative Commons Attribution 4.0 International,Additional file 1: Details of the simulation study and additional data for respiratory mechanics.,mds,True,findable,0,0,0,0,0,2022-10-16T03:12:48.000Z,2022-10-16T03:12:49.000Z,figshare.ars,otjm,"Biophysics,Space Science,Medicine,Physiology,FOS: Biological sciences,Biotechnology,Cancer","[{'subject': 'Biophysics'}, {'subject': 'Space Science'}, {'subject': 'Medicine'}, {'subject': 'Physiology'}, {'subject': 'FOS: Biological sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Biotechnology'}, {'subject': 'Cancer'}]",['86600 Bytes'],
+10.5281/zenodo.7928420,A climatological study of heat waves in Grenoble over the 21st century,Zenodo,2022,en,Other,"Creative Commons Attribution 4.0 International,Open Access","We investigate heat waves (HWs) affecting the valley of Grenoble in a future climate. In this study, heat waves are defined as periods of at least 3 consecutive days of daily maximum and minimum temperature exceeding the 92nd historical percentile. This definition has been chosen to select HWs that might impact human health. Even though only the strongest HWs are potentialy harmful, the definition allows to identify a suficient number of events to perform a statistical study. The HWs are characterised by their duration, peak temperature and mean daily maximum temperature. Additionally, each HW is studied per year using a framework measuring heat wave number, duration, participating days, and the peak and mean magnitudes. The HW characteristics are calculated with the results of simulations from the regional climate model MAR. MAR was forced by reanalysis and by a global model for the entire 21st century. The uncertainty of future anthropogenic forcing is taken into account by analysing results for the shared socio-economic pathways SSP2 and SSP5. The simulations are evaluated against in-situ measurements in the past period. MAR captures well daily maximum and minimum temperatures as well as observed HWs. Under future climate conditions, the increase in very hot daily maximum and minimum temperatures is mainly due to the shift rather than the broadening of their probability density functions. Additionally, the HWs become more frequent and have a longer duration, higher peak temperature and mean daily maximum temperature. Finally, a sensitivity analysis to the HW de ning threshold is carried out.",mds,True,findable,0,0,0,0,0,2023-05-12T08:33:13.000Z,2023-05-12T08:33:13.000Z,cern.zenodo,cern,"Regional Climate Change,Heatwaves,Grenoble Valley,Climate Data Analysis","[{'subject': 'Regional Climate Change'}, {'subject': 'Heatwaves'}, {'subject': 'Grenoble Valley'}, {'subject': 'Climate Data Analysis'}]",,
+10.48537/hal-03220287,"Culture of Creation, The Atmosphere of Objects",Reseau International Ambiances,2020,en,Text,Creative Commons Attribution Non Commercial No Derivatives 2.0 Generic,"As human beings we are constantly immersed in different atmospheres and spon- taneously associate them with space. We propose here to focus on atmospheres of objects. In over more than two decades of experience with Satyendra PakhaleÌ Associates, we have developed a research program complementary to studio practice. While designing objects, we investigate their related atmospheres and cultivate a deep understanding of human perception and sensoriality referring to multiple sources. With the intention to empower the ability of objects to contribute to the broadest necessities of human – social and sensorial – being, here we focus attention on the invisible aura that surrounds objects and evokes specific feelings. We call this holistic practice as ‘Culture of Creation’.",mds,True,findable,0,0,0,0,0,2021-06-17T10:17:54.000Z,2021-06-17T10:17:55.000Z,jbru.aau,jbru,"Sense spheres,Poetic Analogy,B.M. Horse,Kayo,Add-On Radiator","[{'lang': 'eng', 'subject': 'Sense spheres'}, {'lang': 'eng', 'subject': 'Poetic Analogy'}, {'lang': 'eng', 'subject': 'B.M. Horse'}, {'lang': 'eng', 'subject': 'Kayo'}, {'lang': 'eng', 'subject': 'Add-On Radiator'}]",['6 pages'],['application/pdf']
+10.17178/amma-catch.pa.h2oflux_snnr,"Surface flux dataset (including meteorological data, surface energy, water vapor, and carbon fluxes) in the Niakhar site (Ragola station), Senegal","IRD, CNRS-INSU, OSUG, OMP, OREME",2018,en,Dataset,"Creative Commons Attribution 4.0 International,Data access and use are ruled by the AMMA-CATCH data policy.,For any publication using AMMA-CATCH data, authors are asked to:
Mandatory: cite the reference article and the DOI of the observatory
@@ -3484,8 +2809,45 @@ Mandatory: cite the reference article and the DOI of the observatory
Optional: cite the DOI of each dataset used.
-Co-authorship: depending on the contribution of the data to the scientific results obtained, the authors should either propose co-authorship to the data providers or at least acknowledge their contribution.",Documentation of soil water content and soil temperature.,mds,True,findable,0,0,1,0,0,2021-11-15T12:53:52.000Z,2021-11-15T12:53:54.000Z,inist.osug,jbru,"Soil Temperature, soil moisture,Sahelian climate,Soil Moisture/Water Content at depth 10 cm (2),Soil Moisture/Water Content at depth 10 cm,Soil Temperature at depth 10 cm,Soil Moisture/Water Content at depth 40 cm,Soil Moisture/Water Content at depth 5 cm (2),Soil Moisture/Water Content at depth 1 m,Soil Temperature at depth 5 cm,Soil Moisture/Water Content at depth 5 cm","[{'subject': 'Soil Temperature, soil moisture', 'subjectScheme': 'main'}, {'subject': 'Sahelian climate', 'subjectScheme': 'main'}, {'subject': 'Soil Moisture/Water Content at depth 10 cm (2)', 'subjectScheme': 'var'}, {'subject': 'Soil Moisture/Water Content at depth 10 cm', 'subjectScheme': 'var'}, {'subject': 'Soil Temperature at depth 10 cm', 'subjectScheme': 'var'}, {'subject': 'Soil Moisture/Water Content at depth 40 cm', 'subjectScheme': 'var'}, {'subject': 'Soil Moisture/Water Content at depth 5 cm (2)', 'subjectScheme': 'var'}, {'subject': 'Soil Moisture/Water Content at depth 1 m', 'subjectScheme': 'var'}, {'subject': 'Soil Temperature at depth 5 cm', 'subjectScheme': 'var'}, {'subject': 'Soil Moisture/Water Content at depth 5 cm', 'subjectScheme': 'var'}]",,"['CSV', 'NETCDF', 'O&M 1.0']"
-10.17178/amma-catch.ce.run_odc,"Surface water dataset (river discharge), of the Nalohou watershed (16 ha), Benin","IRD, CNRS-INSU, OSUG, OMP, OREME",2012,en,Dataset,"Creative Commons Attribution 4.0 International,Data access and use are ruled by the AMMA-CATCH data policy.,For any publication using AMMA-CATCH data, authors are asked to:
+Co-authorship: depending on the contribution of the data to the scientific results obtained, the authors should either propose co-authorship to the data providers or at least acknowledge their contribution.",Measure components of the local-scale energy budget. Obtain forcing and validation data for modeling of soil-vegetation-atmosphere exchanges in Sahel. Contribute to the flux station network over the AMMA regional transect.,mds,True,findable,0,0,1,0,0,2021-11-15T12:53:45.000Z,2021-11-15T12:53:46.000Z,inist.osug,jbru,"Land surface exchange, water budget, energy budget, sahelian vegetation, evapo-transpiration, sahelian hydrology,Sahelian climate,Wind Speed,Sensible Heat Flux,Carbon Dioxide Flux,Latent Heat Flux,Wind Direction","[{'subject': 'Land surface exchange, water budget, energy budget, sahelian vegetation, evapo-transpiration, sahelian hydrology', 'subjectScheme': 'main'}, {'subject': 'Sahelian climate', 'subjectScheme': 'main'}, {'subject': 'Wind Speed', 'subjectScheme': 'var'}, {'subject': 'Sensible Heat Flux', 'subjectScheme': 'var'}, {'subject': 'Carbon Dioxide Flux', 'subjectScheme': 'var'}, {'subject': 'Latent Heat Flux', 'subjectScheme': 'var'}, {'subject': 'Wind Direction', 'subjectScheme': 'var'}]",,"['CSV', 'NETCDF', 'O&M 1.0']"
+10.18709/perscido.2017.11.ds100,The VLTS (Very Large Transition Systems) Benchmark Suite,PerSciDo,2017,en,Dataset,,"The VLTS benchmark suite is a collection of Labelled Transition Systems. Each Labelled Transition System is a directed, connected graph, whose vertices are called states and whose edges are called transitions. There is one distinguished vertex called the initial state. Each transition is labelled by a character string called action or label. There is one distinguished label noted ""i"" that is used for so-called invisible transitions (also known as hidden transitions or tau-transitions). The VLTS benchmarks have been obtained from various case studies about the modelling of communication protocols and concurrent systems. Many of these case studies correspond to real life, industrial systems.",api,True,findable,0,0,0,1,0,2017-11-21T12:56:41.000Z,2017-11-21T12:56:41.000Z,inist.persyval,vcob,Computer Science,"[{'lang': 'en', 'subject': 'Computer Science'}]",['500 MB'],['bcg']
+10.57745/cm2woi,"Bichromatic melt pool thermal measurement based on a Red, Green, and Blue camera: application to additive manufacturing processes",Recherche Data Gouv,2023,,Dataset,,"The data presented here are related to the research article : ""Bichromatic melt pool thermal measurement based on a Red, Green, and Blue camera: application to additive manufacturing processes"". https://doi.org/10.1016/j.optlastec.2023.109799 Date : Feburary 2023 e-mail : loic.jegou@insa-lyon.fr The measure of temperature fields during additive manufacturing processes usually requires bulky expansive equipement such as infrared cameras. A compact full field thermal sensor was developped in order to accurately measure the temperature and the morpholgy of the melt pool during these processes. It is based on a dual-wavelength radiometrioc model and designed to measure temperatures ranging from 1000K to 2500K. The system is calibrated on a blackbody and a tungsten ribbon lamp. This method is validated with two distinct experiments: -Induction heating of a 316L stainless steel tube in a controlled environnement. The temperature is measured with type K thermocouples and compared to the one measured with the camera. In a first experiment, the tube is placed in an open environnement (with oxygen). In a second experiment, the tube is place in an environnement filled with argon that delays its oxidation. -Fusion of a vanadium rod (with a purity of 99.8%) with a laser impulsion of 350 W for 2 seconds. The fusion temperature of pure vanadium is 2183K, and the camera was used to assess the position of the solidifcation front during the experiment. The camera is then used on two different additive manufacturing processes to identify thermal gradients and highlight the melt pool contours. -Laser metal deposition with powder (LMDP). It consists in melting a small section of a substrate with a highly focused energy source, and continuously delivering feedstock material in this melt pool in the form of powder, layer by layer. The camera captures uspide views of the melt pool. -Wire arc additive manufacturing (WAAM). It is based on Gas Metal Arc Welding processes and consists of melting a metal wire onto the substrate with an electric arc as the heat source. The camera captures side views of the melt pool. Please use appropriate citations and referencing while using this dataset by any means. Contributing authors: Loïc Jegou, Joel Lachambre, Nicolas Tardif, Mady Guillemot, Anthony Dellarre, Abderrahime Zaoui, Thomas Elguedj, Valerie Kaftandjian and Nicolas Beraud. Any further information could be asked by making a legitimate request to: Loïc Jegou (loic.jegou@insa-lyon.fr) and Nicolas Tardif (nicolas.tardif@insa-lyon.fr) The folder contains 4 subfolders for every experiments described in the article. Each subfolder contains one folder (image) with the raw images in the format tiff, and a csv file (images_informations.csv) with every informations about the pictures (identification, exposure time, gain, timestamp). - Subfolder 1: Induction_heating, induction heating of a 316L stainless steel tube, - Subfolder 2: Fusion_vanadium, fusion of a Vanadium rod, - Subfolder 3: LMDP, laser metal deposition (with powder), - Subfolder 4: WAAM, wire arc additive manufcaturing. Please refer to the paper for any further scientific details.",mds,True,findable,37,2,0,0,0,2023-02-24T08:50:05.000Z,2023-07-19T10:14:35.000Z,rdg.prod,rdg,,,,
+10.18709/perscido.2016.10.ds32,DM Authors,PerSciDo,2016,en,Dataset,,"DM-Authors dataset contains information about 4,906 researchers in the domain of data management. The dataset is a crawling on DBLP in October 2014. For each researcher, demographic attributes (gender, seniority, number of publications and publication rate) and activity attributes (list of venues and keywords that the researcher has contribute to) are provided.",api,True,findable,0,0,0,1,0,2017-11-03T14:40:17.000Z,2017-11-03T14:40:17.000Z,inist.persyval,vcob,"Computer Science,Social Web","[{'lang': 'en', 'subject': 'Computer Science'}, {'lang': 'en', 'subject': 'Social Web'}]",['20 MB'],['csv']
+10.17178/ohmcv.all,OHMCV: Cevennesâ€Vivarais Mediterranean Hydrometeorological Observatory,CNRS - OSUG - OREME,2000,en,Dataset,"Data access and use are ruled by the OHMCV data policy.,The following acknowledging sentence should appear in publications using OHMCV data and products: ""OHMCV is funded by the Institut National des Sciences de l’Univers (INSU/CNRS) and the Observatoire des Sciences de l’Univers de Grenoble (OSUG / Université Grenoble Alpes)â€.","The Cévennes-Vivarais Mediterranean Hydro-Meteorological Observatory (OHMCV) is an observation service dedicated to thunderstorms generating intense rains and flash floods in the medium mountainous Mediterranean region. For this purpose, OHMCV develops three observation strategies: (1) detailed, longâ€lasting, and modern hydrometeorological observation over part of the region of interest, the Cévennesâ€Vivarais region, for the purpose of process studies and the improvement and assessment of coupled hydrometeorological predictive models; (2) multidisciplinary postflood investigations following the most extreme events wherever they occur in the Mediterranean region to document and analyze the physical processes and societal factors involved; and (3) use of historical information available on past floods to better characterize the frequency of extreme hydrometeorological events and possible trends in a changing climate. OHMCV participates to the international HyMeX program. It is a member of the Network of Drainage Basins (RBV) and OZCAR Infrastructure.",mds,True,findable,0,0,1,0,0,2017-03-08T17:13:35.000Z,2017-03-08T17:13:36.000Z,inist.osug,jbru,"Mediterranean climate,Precipitation,Surface water,Meteorology,Societal observation,Hydrology,Ground water,Soils,Water quality / Water chemistry","[{'subject': 'Mediterranean climate', 'subjectScheme': 'main'}, {'subject': 'Precipitation', 'subjectScheme': 'var'}, {'subject': 'Surface water', 'subjectScheme': 'var'}, {'subject': 'Meteorology', 'subjectScheme': 'var'}, {'subject': 'Societal observation', 'subjectScheme': 'var'}, {'subject': 'Hydrology', 'subjectScheme': 'var'}, {'subject': 'Ground water', 'subjectScheme': 'var'}, {'subject': 'Soils', 'subjectScheme': 'var'}, {'subject': 'Water quality / Water chemistry', 'subjectScheme': 'var'}]",,"['CSV', 'NETCDF', 'ESRI Grid']"
+10.17178/osug-collections.all,"OSUG-COLLECTIONS is a database of rocks, minerals and fossils","OSUG, UGA",2021,fr,Dataset,"License: CC BY ND,The following sentence should appear in the acknowledgments of the publication:
+OSUG-COLLECTIONS is a database of rocks, minerals and fossils, OSUG, UGA. doi:10.17178/OSUG-COLLECTIONS.all","The rock collection is mainly composed of Himalayan samples collected all along the Himalayan belt, from North-West Pakistan to Western China (mainly Pakistan, western India and Nepal). They are mainly represented by sedimentary, metamorphic and granitic rocks of the Higher Himalaya. They were collected from 1972 to today, often in area hard to reach, either for physiographic or political reasons. The rock collection also includes samples from the French Alps, in particular samples collected in the Arc-Isère Tunnel. The mineral collection is composed of more than 5000 specimens collected all around the world. The peculiarity of this collection is the large number of alpine minerals collected both from Mines and clefts. The paleontological collection is composed of more than 250 000 fossils, collected all around the world. It represents the first ammonite collection in the world for the Lower Cretaceous of the Mediterranean realm. More than 2800 fossils are reference specimens « types et figurés ». History: From 2008, the creation of a first database (collections.obs.ujf-grenoble.fr) allowed the digitalization of these collections. In 2020, migration and upgrade of the previous version to a worldwide openaccess one (web.collections.osug.fr) were made.",mds,True,findable,0,0,0,0,0,2021-03-09T08:16:09.000Z,2021-03-09T08:16:11.000Z,inist.osug,jbru,"Geological collections,Rock collection,Mineral collection,Fossil collection","[{'subject': 'Geological collections', 'subjectScheme': 'main'}, {'subject': 'Rock collection', 'subjectScheme': 'main'}, {'subject': 'Mineral collection', 'subjectScheme': 'main'}, {'subject': 'Fossil collection', 'subjectScheme': 'main'}]",,
+10.5281/zenodo.5838139,Data for Imaging tunable quantum Hall broken-symmetry orders in graphene,Zenodo,2022,en,Dataset,"Creative Commons Attribution 4.0 International,Open Access",Data plots in spreadsheet form,mds,True,findable,0,0,0,1,0,2022-01-12T14:28:17.000Z,2022-01-12T14:28:18.000Z,cern.zenodo,cern,,,,
+10.17178/ohmcv.dsd.sef.12-16.1,"DSD network, Saint-Etienne-de-Fontbellon",CNRS - OSUG - OREME,2012,en,Dataset,"Data access and use are ruled by the OHMCV data policy.,The following acknowledging sentence should appear in publications using OHMCV data and products: ""OHMCV is funded by the Institut National des Sciences de l’Univers (INSU/CNRS) and the Observatoire des Sciences de l’Univers de Grenoble (OSUG / Université Grenoble Alpes)â€.",This dataset is part of the Cevennesâ€Vivarais Mediterranean Hydrometeorological Observatory (OHMCV),mds,True,findable,0,0,2,0,0,2017-10-17T13:24:19.000Z,2017-10-17T13:24:19.000Z,inist.osug,jbru,"Atmospheric conditions,Precipitation Rate,Droplet Size,DISDROMETERS,Ground networks,Hydrometeorological sites,Fixed Observation Stations","[{'subject': 'Atmospheric conditions', 'subjectScheme': 'main'}, {'subject': 'Precipitation Rate', 'subjectScheme': 'main'}, {'subject': 'Droplet Size', 'subjectScheme': 'main'}, {'subject': 'DISDROMETERS', 'subjectScheme': 'main'}, {'subject': 'Ground networks', 'subjectScheme': 'main'}, {'subject': 'Hydrometeorological sites', 'subjectScheme': 'main'}, {'subject': 'Fixed Observation Stations', 'subjectScheme': 'main'}]",,['NETCDF']
+10.6084/m9.figshare.c.6272373,Digitally-supported patient-centered asynchronous outpatient follow-up in rheumatoid arthritis - an explorative qualitative study,figshare,2022,,Collection,Creative Commons Attribution 4.0 International,"Abstract Objective A steadily increasing demand and decreasing number of rheumatologists push current rheumatology care to its limits. Long travel times and poor accessibility of rheumatologists present particular challenges for patients. Need-adapted, digitally supported, patient-centered and flexible models of care could contribute to maintaining high-quality patient care. This qualitative study was embedded in a randomized controlled trial (TELERA) investigating a new model of care consisting of the use of a medical app for ePRO (electronic patient-reported outcomes), a self-administered CRP (C-reactive protein) test, and joint self-examination in rheumatoid arthritis (RA) patients. The qualitative study aimed to explore experiences of RA patients and rheumatology staff regarding (1) current care and (2) the new care model. Methods The study included qualitative interviews with RA patients (n = 15), a focus group with patient representatives (n = 1), rheumatology nurses (n = 2), ambulatory rheumatologists (n = 2) and hospital-based rheumatologists (n = 3). Data was analyzed by qualitative content analysis. Results Participants described current follow-up care as burdensome. Patients in remission have to travel long distances. Despite pre-scheduled visits physicians lack questionnaire results and laboratory results to make informed shared decisions during face-to-face visits. Patients reported that using all study components (medical app for ePRO, self-performed CRP test and joint self-examination) was easy and helped them to better assess their disease condition. Parts of the validated questionnaire used in the trial (routine assessment of patient index data 3; RAPID3) seemed outdated or not clear enough for many patients. Patients wanted to be automatically contacted in case of abnormalities or at least have an app feature to request a call-back or chat. Financial and psychological barriers were identified among rheumatologists preventing them to stop automatically scheduling new appointments for patients in remission. Rheumatology nurses pointed to the potential lack of personal contact, which may limit the holistic care of RA-patients. Conclusion The new care model enables more patient autonomy, allowing patients more control and flexibility at the same time. All components were well accepted and easy to carry out for patients. To ensure success, the model needs to be more responsive and allow seamless integration of education material. Trial registration The study was prospectively registered on 2021/04/09 at the German Registry for Clinical Trials (DRKS00024928).",mds,True,findable,0,0,0,0,0,2022-10-29T03:17:05.000Z,2022-10-29T03:17:05.000Z,figshare.ars,otjm,"Medicine,Immunology,FOS: Clinical medicine,69999 Biological Sciences not elsewhere classified,FOS: Biological sciences,Science Policy,111714 Mental Health,FOS: Health sciences","[{'subject': 'Medicine'}, {'subject': 'Immunology'}, {'subject': 'FOS: Clinical medicine', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': '69999 Biological Sciences not elsewhere classified', 'schemeUri': 'http://www.abs.gov.au/ausstats/abs@.nsf/0/6BB427AB9696C225CA2574180004463E', 'subjectScheme': 'FOR'}, {'subject': 'FOS: Biological sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Science Policy'}, {'subject': '111714 Mental Health', 'schemeUri': 'http://www.abs.gov.au/ausstats/abs@.nsf/0/6BB427AB9696C225CA2574180004463E', 'subjectScheme': 'FOR'}, {'subject': 'FOS: Health sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}]",,
+10.5281/zenodo.5801251,Sedimentary structure discrimination with hyperspectral imaging in sediment cores,Zenodo,2021,,Dataset,"Creative Commons Attribution 4.0 International,Open Access","The LDB17_P11Ax (IGSN: TOAE0000000243); Datation Age 1040 +/- 30 to 2017 CE by core correlation, 14C, lamina counting) core from the Bourget Lake (France) was analyzed in 2018 by hyperspectral imaging. We studied the potential of hyperspectral sensor to image a sediment cores and created machine learning models. The hyperspectral images were acquired in order to develop quantitative (estimating particle size and loss on ignition) and qualitative (detection of instantaneous events or lamina) methods.<br> All these methods allow to reconstruct the past environment and climate at high resolution (pixel size: 50-250 microns) and without destroying the sample for archiving for future analysis.<br> These images have been valorized in publications for the detection of instantaneous events with hyperspectral and combined with XRF data, for the combination of the two images into a composite image.<br> image (.hdr, .dat, .jpg)",mds,True,findable,0,0,0,2,0,2021-12-23T10:16:43.000Z,2021-12-23T10:16:44.000Z,cern.zenodo,cern,"Hyperspectral imaging,Machine learning,Discrimination methods,Visible and near-infrared spectroscopy,Automatic detection,Sedimentary deposits","[{'subject': 'Hyperspectral imaging'}, {'subject': 'Machine learning'}, {'subject': 'Discrimination methods'}, {'subject': 'Visible and near-infrared spectroscopy'}, {'subject': 'Automatic detection'}, {'subject': 'Sedimentary deposits'}]",,
+10.18709/perscido.2018.07.ds225,Physical and morphological parameters of two Antarctic polar sites : Dome C and Lock In,PerSciDo,2018,en,Dataset,Creative Commons Attribution Non Commercial Share Alike 4.0 International,"This dataset contains all parameters measured or determined in Burr, A., Ballot, C., Lhuissier, P., Martinerie, P., Martin, C. L., and Philip, A.: Pore morphology of polar firn around closure revealed by X-ray tomography, The Cryosphere Discuss, 2018. It contains for both Dome C and Lock In sites (Antarctic plateau) various parameters of the pores embedded in firn, and were obtained by X-ray tomography : the closed porosity ratio, connectivity index, specific surface area, surface-to-volume ratio, but also other parameters related to the pore structure. In particular, the connectivity index was used to predict the close-off depth and density.",api,True,findable,0,0,0,1,0,2018-07-10T12:00:37.000Z,2018-07-10T12:00:37.000Z,inist.persyval,vcob,"Materials Science,Glaciology","[{'lang': 'en', 'subject': 'Materials Science'}, {'lang': 'en', 'subject': 'Glaciology'}]",['5 kB'],['csv']
+10.17178/ohmcv.dsd.ale.12-16.1,"DSD network, Ales (Ecole des Mines)",CNRS - OSUG - OREME,2004,en,Dataset,"Data access and use are ruled by the OHMCV data policy.,The following acknowledging sentence should appear in publications using OHMCV data and products: ""OHMCV is funded by the Institut National des Sciences de l’Univers (INSU/CNRS) and the Observatoire des Sciences de l’Univers de Grenoble (OSUG / Université Grenoble Alpes)â€.",This dataset is part of the Cevennesâ€Vivarais Mediterranean Hydrometeorological Observatory (OHMCV),mds,True,findable,0,0,1,0,0,2017-10-17T13:24:14.000Z,2017-10-17T13:24:15.000Z,inist.osug,jbru,"Atmospheric conditions,Precipitation Rate,Droplet Size,DISDROMETERS,Ground networks,Hydrometeorological sites,Fixed Observation Stations","[{'subject': 'Atmospheric conditions', 'subjectScheme': 'main'}, {'subject': 'Precipitation Rate', 'subjectScheme': 'main'}, {'subject': 'Droplet Size', 'subjectScheme': 'main'}, {'subject': 'DISDROMETERS', 'subjectScheme': 'main'}, {'subject': 'Ground networks', 'subjectScheme': 'main'}, {'subject': 'Hydrometeorological sites', 'subjectScheme': 'main'}, {'subject': 'Fixed Observation Stations', 'subjectScheme': 'main'}]",,['NETCDF']
+10.17178/gnss.products.japan_gipsyx.kinematic.2011,GNSS kinematic position solutions in Japan,"CNRS, OSUG, ISTERRE",2022,en,Dataset,"License: CC BY-NC-ND 4.0,Data access and use are ruled by the OSUG data policy.,The following acknowledging sentence should appear in publications using ISTerre GNSS products: ""GNSS products are calculated and provided by the Institut of Sciences de la Terre (ISTerre), belonging to the Institut National des Sciences de l’Univers (INSU/CNRS) and the Observatoire des Sciences de l’Univers de Grenoble (OSUG / Université Grenoble Alpes)"".
+You are invited to contact the PI(s) or lead scientist for more information about the data and to include the acknowledgement sentence in any publication using the data.","This dataset includes solutions processed by ISTerre for 352 Japanese GNSS stations. These products are 30-seconds kinematic position time series (North, East and Vertical), in the ITRF14 reference frame, calculated from RINEX files using the PPP strategy with GIPSYX software.",mds,True,findable,0,0,1,0,0,2022-05-20T15:30:49.000Z,2022-05-20T15:30:52.000Z,inist.osug,jbru,"GNSS products,GNSS data analysis,Time serie positioning","[{'subject': 'GNSS products', 'subjectScheme': 'main'}, {'subject': 'GNSS data analysis', 'subjectScheme': 'var'}, {'subject': 'Time serie positioning', 'subjectScheme': 'var'}]",,"['pos', 'PBO']"
+10.5061/dryad.612jm643q,Photosynthesis from stolen chloroplasts can support sea slug reproductive fitness,Dryad,2021,en,Dataset,Creative Commons Zero v1.0 Universal,"Some sea slugs are able to steal functional chloroplasts (kleptoplasts) from their algal food sources, but the role and relevance of photosynthesis to the animal host remain controversial. While some researchers claim that kleptoplasts are slowly digestible ‘snacks’, others advocate that they enhance the overall fitness of sea slugs much more profoundly. Our analysis show light-dependent incorporation of 13C and 15N in the albumen gland and gonadal follicles of the sea slug Elysia timida, representing translocation of photosynthates to kleptoplast-free reproductive organs. Long-chain polyunsaturated fatty acids with reported roles in reproduction were produced in the sea slug cells using labelled precursors translocated from the kleptoplasts. Finally, we report reduced fecundity of E. timida by limiting kleptoplast photosynthesis. The present study indicates that photosynthesis enhances the reproductive fitness of kleptoplast-bearing sea slugs, confirming the biological relevance of this remarkable association between a metazoan and an algal-derived organelle.",mds,True,findable,175,19,0,1,0,2021-10-08T00:26:52.000Z,2021-10-08T00:26:54.000Z,dryad.dryad,dryad,"kleptoplast,Fatty acid","[{'subject': 'kleptoplast'}, {'subject': 'Fatty acid'}]",['48249 bytes'],
+10.18709/perscido.2017.06.ds80,SPEECH-COCO,PerSciDo,2017,en,Dataset,Creative Commons Attribution 4.0 International,"SPEECH-COCO is an augmentation of MS-COCO dataset where speech is added to image and text. Speech captions were generated using text-to-speech (TTS) synthesis resulting in 616,767 spoken captions (>600h) paired with images. Disfluencies and speed perturbation were added to the signal in order to sound more natural. Each speech signal (WAV) is paired with a JSON file containing exact timecode for each word/syllable/phoneme in the spoken caption. Such a corpus could be used for Language and Vision (LaVi) tasks including speech input or output instead of text.",api,True,findable,0,0,0,0,0,2017-07-11T08:41:11.000Z,2017-07-11T08:41:11.000Z,inist.persyval,vcob,"Computer Science,Linguistics,FOS: Languages and literature,FOS: Languages and literature","[{'lang': 'en', 'subject': 'Computer Science'}, {'lang': 'en', 'subject': 'Linguistics'}, {'subject': 'FOS: Languages and literature', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'FOS: Languages and literature', 'subjectScheme': 'Fields of Science and Technology (FOS)'}]",['57 GB'],"['wav', 'json', 'sql']"
+10.18709/perscido.2020.01.ds280,VocADomA4H -- Acoustic recordings,PerSciDo,2020,en,Dataset,,This repository contains the acoustics signals of the Vocadom@A4H dataset : https://gricad-gitlab.univ-grenoble-alpes.fr/getalp/vocadoma4h/. This part of the data is restricted but can be accessed by signing a form,fabrica,True,findable,0,0,0,0,0,2020-01-15T09:30:09.000Z,2020-01-15T09:30:09.000Z,inist.persyval,vcob,Computer Science,"[{'lang': 'en', 'subject': 'Computer Science'}]",,['wav files']
+10.48537/hal-03220382,"Atelier de la traverseÌe, A Workshop to Reflect on a Possible Mediation Between Affective and Political Atmospheres",Reseau International Ambiances,2020,en,Text,Creative Commons Attribution Non Commercial No Derivatives 2.0 Generic,"As part of my doctoral research, I organized Atelier de la traverseÌe workshop in Brussels, which involved 12 women in individual exploration of their relationship with public spaces. My aim was to investigate from up close some gendered urban experi- ences and to let emerge atmosphere of spatial inclusion or exclusion. In this paper, I will focus on a moment in the workshop, when women experienced space through the body and express their affective state through a creative medium. This phase produced images, audio, poems that helped me (at least to try) to enter into some atmospheric realities and to reflect on their possible both affective and political meanings.",mds,True,findable,0,0,0,0,0,2021-06-17T10:18:07.000Z,2021-06-17T10:18:07.000Z,jbru.aau,jbru,"Feminist Urban Geography,Nomadic Theory,Atmospheres,Creative Methodologies","[{'lang': 'eng', 'subject': 'Feminist Urban Geography'}, {'lang': 'eng', 'subject': 'Nomadic Theory'}, {'lang': 'eng', 'subject': 'Atmospheres'}, {'lang': 'eng', 'subject': 'Creative Methodologies'}]",['6 pages'],['application/pdf']
+10.5281/zenodo.6505500,ThoFeOne: Python 1D tools for the Thomas-Fermi self-consistent problem,Zenodo,2022,,Software,"BSD 2-Clause FreeBSD License,Open Access",First working version of the simulator. Contains fixed (constant) mesh. See github website for latest version and documentation.,mds,True,findable,0,0,1,0,0,2022-04-29T15:50:07.000Z,2022-04-29T15:50:07.000Z,cern.zenodo,cern,,,,
+10.18709/perscido.2022.05.ds367,"Snow properties in Antarctica, Canada and the Alps for microwave emission and backscatter modeling",PerSCiDo,2022,en,Dataset,,"This dataset gathers measurements of snow properties (density, specific surface area and temperature) and microwave brightness temperature data from Antarctica and Canada, and snow microstructure properties (chord length distribution, ice fractional volume) derived from micro-CT imagery from the Alps. This dataset was established to run and evaluate microwave scattering simulations.",fabrica,True,findable,0,0,0,1,0,2022-05-04T14:09:09.000Z,2022-05-04T14:09:10.000Z,inist.persyval,vcob,Glaciology,"[{'lang': 'en', 'subject': 'Glaciology'}]",['10Mo'],
+10.2312/yes19,Proceedings of the 5th International Young Earth Scientists (YES) Congress “Rocking Earth’s Futureâ€,German YES Chapter & GFZ German Research Centre for Geosciences,2021,en,Text,Creative Commons Attribution 4.0 International,,fabricaForm,True,findable,0,0,0,0,0,2020-09-10T09:36:58.000Z,2021-08-31T19:11:27.000Z,tib.gfzbib,gfz,"Conference Proceedings,Young Earth Scientists (YES),International Young Earth Scientists (YES) Congress,Geosciences","[{'subject': 'Conference Proceedings'}, {'subject': 'Young Earth Scientists (YES)'}, {'subject': 'International Young Earth Scientists (YES) Congress'}, {'subject': 'Geosciences'}]",['148 pages'],['pdf']
+10.17178/emaa_(13c)ch_hyperfine_b78c5723,Hyperfine excitation of [13C]CH by para-H2 collisions,"UGA, CNRS, CNRS-INSU, OSUG",2023,en,Dataset,"Please acknowledge the use of EMAA Database by citing the original articles in which the data were published (BibTeX format available), and adding the following sentence in your publication:
+This research has made use of spectroscopic and collisional data from the EMAA database (https://emaa.osug.fr). EMAA is supported by the Observatoire des Sciences de l'Univers de Grenoble (OSUG),Creative Commons Attribution 4.0 International,Data access and use are ruled by the EMAA data policy.",98 hyperfine energy levels / 128 radiative transitions / 4752 collisional transitions for para-H2 (20 temperatures in the range 5-100K),mds,True,findable,0,0,0,0,0,2023-12-07T15:50:20.000Z,2023-12-07T15:50:21.000Z,inist.osug,jbru,"target [13C]CH,excitationType Hyperfine,collisional excitation,collider.0 para-H2,astrophysics,interstellar medium,comets,circumstellar medium,gas,microwave spectroscopy,infrared spectroscopy,rotational excitation,rovibrational excitation,vibrational excitation,electronic excitation,collisional rate coefficients,fine structure,hyperfine structure","[{'subject': 'target [13C]CH', 'subjectScheme': 'main'}, {'subject': 'excitationType Hyperfine', 'subjectScheme': 'main'}, {'subject': 'collisional excitation', 'subjectScheme': 'main'}, {'subject': 'collider.0 para-H2', 'subjectScheme': 'var'}, {'subject': 'astrophysics', 'subjectScheme': 'var'}, {'subject': 'interstellar medium', 'subjectScheme': 'var'}, {'subject': 'comets', 'subjectScheme': 'var'}, {'subject': 'circumstellar medium', 'subjectScheme': 'var'}, {'subject': 'gas', 'subjectScheme': 'var'}, {'subject': 'microwave spectroscopy', 'subjectScheme': 'var'}, {'subject': 'infrared spectroscopy', 'subjectScheme': 'var'}, {'subject': 'rotational excitation', 'subjectScheme': 'var'}, {'subject': 'rovibrational excitation', 'subjectScheme': 'var'}, {'subject': 'vibrational excitation', 'subjectScheme': 'var'}, {'subject': 'electronic excitation', 'subjectScheme': 'var'}, {'subject': 'collisional rate coefficients', 'subjectScheme': 'var'}, {'subject': 'fine structure', 'subjectScheme': 'var'}, {'subject': 'hyperfine structure', 'subjectScheme': 'var'}]",,['Radex']
+10.48537/hal-03220352,"Normativity and Aesthetics, The Political Dimensions of Mobility Infrastructure",Reseau International Ambiances,2020,en,Text,Creative Commons Attribution Non Commercial No Derivatives 2.0 Generic,"This article is a reflection on two levels of the ‘political’ in which the æsthetical dimensions of mobility infrastructure play a key role. Informed by the empirical analysis of mobility infrastructure recent evolution in Brussels-Capital Region, it highlights on one hand how, at the level of the ‘infra-politics’ of mobility, the sensory accelerating and decelerating dispositifs constrain the poten- tial sensory-motor ways of being as much as regulatory and material ones. On the other hand, it reveals the potential of mobility infra- structure as sensitive environment to sustain, through the resonance between infrastructure, environment, vehicles and bodies, an increasing ambient sensibility that nourishes the political engagement of mobile actors toward a sustain- able future.",mds,True,findable,0,0,0,0,0,2021-06-17T10:17:39.000Z,2021-06-17T10:17:39.000Z,jbru.aau,jbru,"Mobility,Infrastructure,Brussels,Aesthetics","[{'lang': 'eng', 'subject': 'Mobility'}, {'lang': 'eng', 'subject': 'Infrastructure'}, {'lang': 'eng', 'subject': 'Brussels'}, {'lang': 'eng', 'subject': 'Aesthetics'}]",['6 pages'],['application/pdf']
+10.5281/zenodo.7382840,"DBnary in Ontolex, All Languages Archive 2017",Zenodo,2017,,Dataset,"Creative Commons Attribution 4.0 International,Open Access","The DBnary dataset is an extract of Wiktionary data from many language editions in RDF Format. Since July 1st 2017, the lexical data extracted from Wiktionary is modeled using the ontolex vocabulary. This dataset contains the archive of all DBnary dumps of 2017 in Ontolex format containing lexical information from wiktionary dumps of 2017 (post July 1st).",mds,True,findable,0,0,0,0,0,2022-11-30T16:23:54.000Z,2022-11-30T16:23:54.000Z,cern.zenodo,cern,"Wiktionary,Ontolex,Lexical Data,RDF,Bulgarian,German,Modern Greek,English,Spanish,Finnish,French,Indonesian,Italian,Japanese,Latin,Lithuanian,Malagasy,Dutch,Norvegian,Polish,Portuguese,Russian,Serbo Croatian,Swedish,Turkish","[{'subject': 'Wiktionary'}, {'subject': 'Ontolex'}, {'subject': 'Lexical Data'}, {'subject': 'RDF'}, {'subject': 'Bulgarian'}, {'subject': 'German'}, {'subject': 'Modern Greek'}, {'subject': 'English'}, {'subject': 'Spanish'}, {'subject': 'Finnish'}, {'subject': 'French'}, {'subject': 'Indonesian'}, {'subject': 'Italian'}, {'subject': 'Japanese'}, {'subject': 'Latin'}, {'subject': 'Lithuanian'}, {'subject': 'Malagasy'}, {'subject': 'Dutch'}, {'subject': 'Norvegian'}, {'subject': 'Polish'}, {'subject': 'Portuguese'}, {'subject': 'Russian'}, {'subject': 'Serbo Croatian'}, {'subject': 'Swedish'}, {'subject': 'Turkish'}]",,
+10.17178/draixbleone_gal_rob_met_1420,Meteorological data at the Robine station of the Galabre watershed,IGE - CNRS - OSUG,2020,en,Dataset,"Creative Commons Attribution 4.0 International,The following acknowledging sentence should appear in publications using data and products from the Galabre watershed of the Draix Bleone Observatory: ""DRAIX BLEONE is funded by the Institut National des Sciences de l’Univers (INSU/CNRS) and the Observatoire des Sciences de l’Univers de Grenoble (OSUG / Université Grenoble Alpes)â€.,Always quote below citation to Legout et al. (submitted) when using these data. Legout C., Freche G., Biron R., Esteves M., Nord G, Navratil O., Uber M., Grangeon T., Hachgenei N., Boudevillain B. Voiron C., Spadini L. A critical zone observatory dedicated to suspended sediment transport: the meso-scale Galabre catchment (southern French Alps), submitted to Hydrological Processes.",This meteorological data set is part of the DRAIXBLEONE_GAL observatory.,mds,True,findable,0,0,0,0,0,2020-09-15T15:58:45.000Z,2020-09-15T15:58:46.000Z,inist.osug,jbru,"Mediterranean mountainous climate,Precipitation,Meteorology","[{'subject': 'Mediterranean mountainous climate', 'subjectScheme': 'main'}, {'subject': 'Precipitation', 'subjectScheme': 'var'}, {'subject': 'Meteorology', 'subjectScheme': 'var'}]",,['CSV']
+10.17178/emaa_ortho-nh2_hyperfine_6c2e5783,Hyperfine excitation of ortho-NH2 by ortho-H2 and para-H2 collisions,"UGA, CNRS, CNRS-INSU, OSUG",2022,en,Dataset,"Please acknowledge the use of EMAA Database by citing the original articles in which the data were published (BibTeX format available), and adding the following sentence in your publication:
+This research has made use of spectroscopic and collisional data from the EMAA database (https://emaa.osug.fr). EMAA is supported by the Observatoire des Sciences de l'Univers de Grenoble (OSUG),Creative Commons Attribution 4.0 International,Data access and use are ruled by the EMAA data policy.",231 hyperfine energy levels / 2995 radiative transitions / 24692 collisional transitions for para-H2 (15 temperatures in the range 10-150K) / 24692 collisional transitions for ortho-H2 (15 temperatures in the range 10-150K),mds,True,findable,0,0,0,0,0,2022-02-07T11:25:47.000Z,2022-02-07T11:25:48.000Z,inist.osug,jbru,"target ortho-NH2,excitationType Hyperfine,collisional excitation,collider.0 para-H2,collider.1 ortho-H2,astrophysics,interstellar medium,comets,circumstellar medium,gas,microwave spectroscopy,infrared spectroscopy,rotational excitation,rovibrational excitation,vibrational excitation,electronic excitation,collisional rate coefficients,fine structure,hyperfine structure","[{'subject': 'target ortho-NH2', 'subjectScheme': 'main'}, {'subject': 'excitationType Hyperfine', 'subjectScheme': 'main'}, {'subject': 'collisional excitation', 'subjectScheme': 'main'}, {'subject': 'collider.0 para-H2', 'subjectScheme': 'var'}, {'subject': 'collider.1 ortho-H2', 'subjectScheme': 'var'}, {'subject': 'astrophysics', 'subjectScheme': 'var'}, {'subject': 'interstellar medium', 'subjectScheme': 'var'}, {'subject': 'comets', 'subjectScheme': 'var'}, {'subject': 'circumstellar medium', 'subjectScheme': 'var'}, {'subject': 'gas', 'subjectScheme': 'var'}, {'subject': 'microwave spectroscopy', 'subjectScheme': 'var'}, {'subject': 'infrared spectroscopy', 'subjectScheme': 'var'}, {'subject': 'rotational excitation', 'subjectScheme': 'var'}, {'subject': 'rovibrational excitation', 'subjectScheme': 'var'}, {'subject': 'vibrational excitation', 'subjectScheme': 'var'}, {'subject': 'electronic excitation', 'subjectScheme': 'var'}, {'subject': 'collisional rate coefficients', 'subjectScheme': 'var'}, {'subject': 'fine structure', 'subjectScheme': 'var'}, {'subject': 'hyperfine structure', 'subjectScheme': 'var'}]",,['Radex']
+10.48537/hal-03220267,What Place for Ambiance in the Urban Renaturing Process? Session 16 – Introduction,Reseau International Ambiances,2020,en,Text,Creative Commons Attribution Non Commercial No Derivatives 2.0 Generic,,mds,True,findable,0,0,0,0,0,2021-06-17T10:17:25.000Z,2021-06-17T10:17:25.000Z,jbru.aau,jbru,,,['5 pages'],['application/pdf']
+10.18709/perscido.2020.01.ds289,ReDFISh multispectral dataset,PerSciDo,2020,en,Dataset,,ReDFISh is a dataset containing multispectral images to help image sensors design. They contain a spectral sampling of reflectance properties of scenes over the absorption range of silicon (400 - 1050 nm). These data are used to simulate raw image acquisitions according to spectral sensitivities of a given image sensor under chosen illumination conditions and exposure setting. They can also be used for color science.,fabrica,True,findable,0,0,0,0,0,2020-01-20T11:43:16.000Z,2020-01-20T11:43:16.000Z,inist.persyval,vcob,"Engineering,Imaging science","[{'lang': 'en', 'subject': 'Engineering'}, {'lang': 'en', 'subject': 'Imaging science'}]",['730.32 MB'],['HDF5 -.h5- - PNG']
+10.48537/hal-03220325,"Field Recording, Technology and Creative Listening",Reseau International Ambiances,2020,en,Text,Creative Commons Attribution Non Commercial No Derivatives 2.0 Generic,"While more and more used in music and sound art, field recording remains under theorised. This paper aims to study this practice in relation to the technology and to modes of listening. I argue that field recording cannot be thought without its technological tools: microphones, headphones, recorders and speakers. I discuss that this set of audio technologies acts as a way of ‘translating’ the environment by allowing for a detachment toward what is listened to. I also conceptualise listening as a creative stance. To support my claim, I deploy historical examples from the sound hunting movement alongside recent scholarly works that investigate the role of imagination and empathy in music extending this method to ambient sounds. Finally, I argue that field recording can be used as a method to engage creatively with the environment.",mds,True,findable,0,0,0,0,0,2021-06-17T09:44:17.000Z,2021-06-17T09:44:17.000Z,jbru.aau,jbru,"Field Recording,Listening,Sound Environment,Technology,Link","[{'lang': 'eng', 'subject': 'Field Recording'}, {'lang': 'eng', 'subject': 'Listening'}, {'lang': 'eng', 'subject': 'Sound Environment'}, {'lang': 'eng', 'subject': 'Technology'}, {'lang': 'eng', 'subject': 'Link'}]",['6 pages'],['application/pdf']
+10.5281/zenodo.7485725,"Datasets for ""Observation of universal Hall response in strongly interacting Fermions""",Zenodo,2023,,Dataset,"Creative Commons Attribution 4.0 International,Open Access","This submission includes the datasets shown in the figures of journal article ""Observation of universal Hall response in strongly interacting Fermions"" by T.-W. Zhou et al., Science (2023). The naming of the files corresponds to the figure numbering in the published article:<br> FIG-x for figures in the main text<br> FIG-Sxx for figures in the Supplementary Materials",mds,True,findable,0,0,0,0,0,2023-07-13T06:50:55.000Z,2023-07-13T06:50:56.000Z,cern.zenodo,cern,"Hall effect,Quantum simulation,Quantum technologies,Condensed Matter Physics,FOS: Physical sciences,Atomic Physics","[{'subject': 'Hall effect'}, {'subject': 'Quantum simulation'}, {'subject': 'Quantum technologies'}, {'subject': 'Condensed Matter Physics'}, {'subject': 'FOS: Physical sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Atomic Physics'}]",,
+10.5281/zenodo.5763672,Dataset for Spatial Heterogeneity of Uplift Pattern in the Western European Alps Revealed by InSAR Time Series Analysis,Zenodo,2021,,Dataset,"Creative Commons Attribution 4.0 International,Open Access",ZIP file with InSAR raw and smoothed final velocity solution values,mds,True,findable,0,0,0,0,0,2021-12-07T10:30:20.000Z,2021-12-07T10:30:21.000Z,cern.zenodo,cern,"Insar velocities,Western Alps","[{'subject': 'Insar velocities'}, {'subject': 'Western Alps'}]",,
+10.17178/emaa_(36ar)h-plus_rotation_173ef621,Rotation excitation of [36Ar]H+ by H and electron collisions,"UGA, CNRS, CNRS-INSU, OSUG",2021,en,Dataset,"Please acknowledge the use of EMAA Database by citing the original articles in which the data were published (BibTeX format available), and adding the following sentence in your publication:
+This research has made use of spectroscopic and collisional data from the EMAA database (https://emaa.osug.fr). EMAA is supported by the Observatoire des Sciences de l'Univers de Grenoble (OSUG),Creative Commons Attribution 4.0 International,Data access and use are ruled by the EMAA data policy.",12 rotation energy levels / 11 radiative transitions / 66 collisional transitions for H (34 temperatures in the range 10-1000K) / 60 collisional transitions for electron (12 temperatures in the range 10-3000K),mds,True,findable,0,0,0,0,0,2021-11-18T13:34:30.000Z,2021-11-18T13:34:31.000Z,inist.osug,jbru,"target [36Ar]H+,excitationType Rotation,collisional excitation,collider.0 H,collider.1 electron,astrophysics,interstellar medium,comets,circumstellar medium,gas,microwave spectroscopy,infrared spectroscopy,rotational excitation,rovibrational excitation,vibrational excitation,electronic excitation,collisional rate coefficients,fine structure,hyperfine structure","[{'subject': 'target [36Ar]H+', 'subjectScheme': 'main'}, {'subject': 'excitationType Rotation', 'subjectScheme': 'main'}, {'subject': 'collisional excitation', 'subjectScheme': 'main'}, {'subject': 'collider.0 H', 'subjectScheme': 'var'}, {'subject': 'collider.1 electron', 'subjectScheme': 'var'}, {'subject': 'astrophysics', 'subjectScheme': 'var'}, {'subject': 'interstellar medium', 'subjectScheme': 'var'}, {'subject': 'comets', 'subjectScheme': 'var'}, {'subject': 'circumstellar medium', 'subjectScheme': 'var'}, {'subject': 'gas', 'subjectScheme': 'var'}, {'subject': 'microwave spectroscopy', 'subjectScheme': 'var'}, {'subject': 'infrared spectroscopy', 'subjectScheme': 'var'}, {'subject': 'rotational excitation', 'subjectScheme': 'var'}, {'subject': 'rovibrational excitation', 'subjectScheme': 'var'}, {'subject': 'vibrational excitation', 'subjectScheme': 'var'}, {'subject': 'electronic excitation', 'subjectScheme': 'var'}, {'subject': 'collisional rate coefficients', 'subjectScheme': 'var'}, {'subject': 'fine structure', 'subjectScheme': 'var'}, {'subject': 'hyperfine structure', 'subjectScheme': 'var'}]",,['Radex']
+10.18709/perscido.2020.04.ds310,TMD-CAPTIMOVE,PerSciDo,2020,en,Dataset,,"This database called ""TMD-CAPTIMOVE"" provides transportation mode labelled data collected by 34 volunteers for a total time duration of around 48 hours. Considered transportation modes are: On-foot (Walking, Stairs, Elevators), Bike, Scooter, Bus, Tram. The number of labels is 11: Still, Walk, Upstairs, Downstairs, Elevator up, Elevator down, Bike, Electric scooter, kick scooter, Bus, Tram. Sensor data are: Acceleration (m/s²), angular rate (°/s), atmospheric pressure (hPa), heart rate (beat per minute (BPM)). The sampling frequency for all data is 32 Hertz.",fabrica,True,findable,0,0,0,0,0,2020-04-10T16:11:40.000Z,2020-04-10T16:11:40.000Z,inist.persyval,vcob,"Computer science,Engineering,Learning","[{'lang': 'en', 'subject': 'Computer science'}, {'lang': 'en', 'subject': 'Engineering'}, {'lang': 'en', 'subject': 'Learning'}]",['500 MB'],['csv']
+10.6084/m9.figshare.24647123.v1,Additional file 1 of Effects of a physical activity and endometriosis-based education program delivered by videoconference on endometriosis symptoms: the CRESCENDO program (inCRease physical Exercise and Sport to Combat ENDOmetriosis) protocol study,figshare,2023,,Text,Creative Commons Attribution 4.0 International,Additional file 1. Randomization script,mds,True,findable,0,0,0,0,0,2023-11-28T04:40:37.000Z,2023-11-28T04:40:37.000Z,figshare.ars,otjm,"Medicine,Genetics,FOS: Biological sciences,Physiology,Science Policy,Sociology,FOS: Sociology,Biological Sciences not elsewhere classified","[{'subject': 'Medicine'}, {'subject': 'Genetics'}, {'subject': 'FOS: Biological sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Physiology'}, {'subject': 'Science Policy'}, {'subject': 'Sociology'}, {'subject': 'FOS: Sociology', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Biological Sciences not elsewhere classified'}]",['12261 Bytes'],
+10.17178/amma-catch.ce.gwat_odc,"Groundwater dataset (water table level), over the Donga watershed (600 km2), Benin","IRD, CNRS-INSU, OSUG, OMP, OREME",2003,en,Dataset,"Creative Commons Attribution 4.0 International,Data access and use are ruled by the AMMA-CATCH data policy.,For any publication using AMMA-CATCH data, authors are asked to:
Mandatory: cite the reference article and the DOI of the observatory
@@ -3494,8 +2856,10 @@ Mandatory: cite the reference article and the DOI of the observatory
Optional: cite the DOI of each dataset used.
-Co-authorship: depending on the contribution of the data to the scientific results obtained, the authors should either propose co-authorship to the data providers or at least acknowledge their contribution.","Documentation of discharge at a 1st order catchment with a bas-fond at hillslope scale on association with others measurements (ground water levels in bas-fond, gravimeter on the top of the hillslope, flux tower)) contributing to close the surface water budget. Data will be used to validate hydrological modelling. The electrical conductivity of water is an integrative measure that allows documentation of the origin of waters (rainfall, surface and sub-surface runoff, watertable drainage).",mds,True,findable,0,0,1,0,0,2018-03-16T15:37:02.000Z,2018-03-16T15:37:02.000Z,inist.osug,jbru,"Discharge,Sudanian climate,Discharge/Flow (5 minutes)","[{'subject': 'Discharge', 'subjectScheme': 'main'}, {'subject': 'Sudanian climate', 'subjectScheme': 'main'}, {'subject': 'Discharge/Flow (5 minutes)', 'subjectScheme': 'var'}]",,"['CSV', 'NETCDF', 'O&M 1.0']"
-10.17178/amma-catch.pa.schem_snfd,"Soil chemistry dataset (Carbon, Nitrogen and Phosphorus contents), in the Ferlo site (Dahra station), Senegal","IRD, CNRS-INSU, OSUG, OMP, OREME",2015,en,Dataset,"Creative Commons Attribution 4.0 International,Data access and use are ruled by the AMMA-CATCH data policy.,For any publication using AMMA-CATCH data, authors are asked to:
+Co-authorship: depending on the contribution of the data to the scientific results obtained, the authors should either propose co-authorship to the data providers or at least acknowledge their contribution.","Documentation of the processes of groundwater recharge-discharge. Documentation of the groundwater-river connections. Contribution to the water budget at the hillslope scale in relation with soil water, runoff measurements. The identified processes will be used to improve hydrological modelling at the super-site scale (Donga).",mds,True,findable,0,0,1,0,0,2018-03-16T15:36:57.000Z,2018-03-16T15:36:57.000Z,inist.osug,jbru,"Aquifer, recharge, groundwater,Sudanian climate,Water Table","[{'subject': 'Aquifer, recharge, groundwater', 'subjectScheme': 'main'}, {'subject': 'Sudanian climate', 'subjectScheme': 'main'}, {'subject': 'Water Table', 'subjectScheme': 'var'}]",,"['CSV', 'NETCDF', 'O&M 1.0']"
+10.17178/emaa_h2_rovibration_5e046bb5,Rovibration excitation of H2 by H and H+ collisions,"UGA, CNRS, CNRS-INSU, OSUG",2021,en,Dataset,"Please acknowledge the use of EMAA Database by citing the original articles in which the data were published (BibTeX format available), and adding the following sentence in your publication:
+This research has made use of spectroscopic and collisional data from the EMAA database (https://emaa.osug.fr). EMAA is supported by the Observatoire des Sciences de l'Univers de Grenoble (OSUG),Creative Commons Attribution 4.0 International,Data access and use are ruled by the EMAA data policy.",54 rovibration energy levels / 226 radiative transitions / 1431 collisional transitions for H (50 temperatures in the range 100-5000K) / 325 collisional transitions for H+ (26 temperatures in the range 5-3000K),mds,True,findable,0,0,0,0,0,2021-11-17T14:00:53.000Z,2021-11-17T14:00:55.000Z,inist.osug,jbru,"target H2,excitationType Rovibration,collisional excitation,collider.0 H,collider.1 H+,astrophysics,interstellar medium,comets,circumstellar medium,gas,microwave spectroscopy,infrared spectroscopy,rotational excitation,rovibrational excitation,vibrational excitation,electronic excitation,collisional rate coefficients,fine structure,hyperfine structure","[{'subject': 'target H2', 'subjectScheme': 'main'}, {'subject': 'excitationType Rovibration', 'subjectScheme': 'main'}, {'subject': 'collisional excitation', 'subjectScheme': 'main'}, {'subject': 'collider.0 H', 'subjectScheme': 'var'}, {'subject': 'collider.1 H+', 'subjectScheme': 'var'}, {'subject': 'astrophysics', 'subjectScheme': 'var'}, {'subject': 'interstellar medium', 'subjectScheme': 'var'}, {'subject': 'comets', 'subjectScheme': 'var'}, {'subject': 'circumstellar medium', 'subjectScheme': 'var'}, {'subject': 'gas', 'subjectScheme': 'var'}, {'subject': 'microwave spectroscopy', 'subjectScheme': 'var'}, {'subject': 'infrared spectroscopy', 'subjectScheme': 'var'}, {'subject': 'rotational excitation', 'subjectScheme': 'var'}, {'subject': 'rovibrational excitation', 'subjectScheme': 'var'}, {'subject': 'vibrational excitation', 'subjectScheme': 'var'}, {'subject': 'electronic excitation', 'subjectScheme': 'var'}, {'subject': 'collisional rate coefficients', 'subjectScheme': 'var'}, {'subject': 'fine structure', 'subjectScheme': 'var'}, {'subject': 'hyperfine structure', 'subjectScheme': 'var'}]",,['Radex']
+10.17178/amma-catch.ce.run_nct,"Surface water dataset (river discharge), within the Tondikiboro and Mele Haoussa watersheds (< 35 ha), Niger","IRD, CNRS-INSU, OSUG, OMP, OREME",2004,en,Dataset,"Creative Commons Attribution 4.0 International,Data access and use are ruled by the AMMA-CATCH data policy.,For any publication using AMMA-CATCH data, authors are asked to:
Mandatory: cite the reference article and the DOI of the observatory
@@ -3504,25 +2868,53 @@ Mandatory: cite the reference article and the DOI of the observatory
Optional: cite the DOI of each dataset used.
-Co-authorship: depending on the contribution of the data to the scientific results obtained, the authors should either propose co-authorship to the data providers or at least acknowledge their contribution.","1) Characterize dynamics of C and N contents in soil in relation with rainfall, soil moisture, vegetation and livestock attendance. C & N dynamics through mineralisation of the organic matter are important factors that control vegetation and soil functioning and surface-atmosphere interaction. 2) Soil P content also controls vegetation productivity.",mds,True,findable,0,0,1,0,0,2022-12-09T16:47:55.000Z,2022-12-09T16:47:56.000Z,inist.osug,jbru,"Carbon and Nitrogen cycles, soil moisture, rainfall, vegetation,Sahelian climate,Phosphorus (P) content from 0 to 10 cm depth,Nitrate (NO3-) content from 0 to 10 cm depth,Carbon (C) content from 0 to 10 cm depth,Carbon (C) content from 30 to 40 cm depth,Phosphorus (P) content from 30 to 40 cm depth,Ammonium (NH4+) content from 0 to 10 cm depth,Nitrogen (N) content from 0 to 10 cm depth,Phosphorus (P) content from 20 to 30 cm depth,Nitrate (NO3-) content from 50 to 60 cm depth,Carbon (C) content from 20 to 30 cm depth,Carbon (C) content from 50 to 60 cm depth,Nitrate (NO3-) content from 30 to 40 cm depth,Nitrogen (N) content from 50 to 60 cm depth,Phosphorus (P) content from 50 to 60 cm depth,Nitrogen (N) content from 30 to 40 cm depth,Nitrate (NO3-) content from 20 to 30 cm depth,Ammonium (NH4+) content from 50 to 60 cm depth,Ammonium (NH4+) content from 20 to 30 cm depth,Ammonium (NH4+) content from 30 to 40 cm depth,Nitrogen (N) content from 20 to 30 cm depth","[{'subject': 'Carbon and Nitrogen cycles, soil moisture, rainfall, vegetation', 'subjectScheme': 'main'}, {'subject': 'Sahelian climate', 'subjectScheme': 'main'}, {'subject': 'Phosphorus (P) content from 0 to 10 cm depth', 'subjectScheme': 'var'}, {'subject': 'Nitrate (NO3-) content from 0 to 10 cm depth', 'subjectScheme': 'var'}, {'subject': 'Carbon (C) content from 0 to 10 cm depth', 'subjectScheme': 'var'}, {'subject': 'Carbon (C) content from 30 to 40 cm depth', 'subjectScheme': 'var'}, {'subject': 'Phosphorus (P) content from 30 to 40 cm depth', 'subjectScheme': 'var'}, {'subject': 'Ammonium (NH4+) content from 0 to 10 cm depth', 'subjectScheme': 'var'}, {'subject': 'Nitrogen (N) content from 0 to 10 cm depth', 'subjectScheme': 'var'}, {'subject': 'Phosphorus (P) content from 20 to 30 cm depth', 'subjectScheme': 'var'}, {'subject': 'Nitrate (NO3-) content from 50 to 60 cm depth', 'subjectScheme': 'var'}, {'subject': 'Carbon (C) content from 20 to 30 cm depth', 'subjectScheme': 'var'}, {'subject': 'Carbon (C) content from 50 to 60 cm depth', 'subjectScheme': 'var'}, {'subject': 'Nitrate (NO3-) content from 30 to 40 cm depth', 'subjectScheme': 'var'}, {'subject': 'Nitrogen (N) content from 50 to 60 cm depth', 'subjectScheme': 'var'}, {'subject': 'Phosphorus (P) content from 50 to 60 cm depth', 'subjectScheme': 'var'}, {'subject': 'Nitrogen (N) content from 30 to 40 cm depth', 'subjectScheme': 'var'}, {'subject': 'Nitrate (NO3-) content from 20 to 30 cm depth', 'subjectScheme': 'var'}, {'subject': 'Ammonium (NH4+) content from 50 to 60 cm depth', 'subjectScheme': 'var'}, {'subject': 'Ammonium (NH4+) content from 20 to 30 cm depth', 'subjectScheme': 'var'}, {'subject': 'Ammonium (NH4+) content from 30 to 40 cm depth', 'subjectScheme': 'var'}, {'subject': 'Nitrogen (N) content from 20 to 30 cm depth', 'subjectScheme': 'var'}]",,"['CSV', 'NETCDF', 'O&M 1.0']"
-10.17178/emaa_ortho-h2c(18o)_rotation_7963f75b,Rotation excitation of ortho-H2C[18O] by ortho-H2 and para-H2 collisions,"UGA, CNRS, CNRS-INSU, OSUG",2022,en,Dataset,"Please acknowledge the use of EMAA Database by citing the original articles in which the data were published (BibTeX format available), and adding the following sentence in your publication:
-This research has made use of spectroscopic and collisional data from the EMAA database (https://emaa.osug.fr). EMAA is supported by the Observatoire des Sciences de l'Univers de Grenoble (OSUG),Creative Commons Attribution 4.0 International,Data access and use are ruled by the EMAA data policy.",30 rotation energy levels / 69 radiative transitions / 435 collisional transitions for ortho-H2 (21 temperatures in the range 10-300K) / 435 collisional transitions for para-H2 (21 temperatures in the range 10-300K),mds,True,findable,0,0,0,0,0,2022-06-08T11:34:53.000Z,2022-06-08T11:34:54.000Z,inist.osug,jbru,"target ortho-H2C[18O],excitationType Rotation,collisional excitation,collider.0 ortho-H2,collider.1 para-H2,astrophysics,interstellar medium,comets,circumstellar medium,gas,microwave spectroscopy,infrared spectroscopy,rotational excitation,rovibrational excitation,vibrational excitation,electronic excitation,collisional rate coefficients,fine structure,hyperfine structure","[{'subject': 'target ortho-H2C[18O]', 'subjectScheme': 'main'}, {'subject': 'excitationType Rotation', 'subjectScheme': 'main'}, {'subject': 'collisional excitation', 'subjectScheme': 'main'}, {'subject': 'collider.0 ortho-H2', 'subjectScheme': 'var'}, {'subject': 'collider.1 para-H2', 'subjectScheme': 'var'}, {'subject': 'astrophysics', 'subjectScheme': 'var'}, {'subject': 'interstellar medium', 'subjectScheme': 'var'}, {'subject': 'comets', 'subjectScheme': 'var'}, {'subject': 'circumstellar medium', 'subjectScheme': 'var'}, {'subject': 'gas', 'subjectScheme': 'var'}, {'subject': 'microwave spectroscopy', 'subjectScheme': 'var'}, {'subject': 'infrared spectroscopy', 'subjectScheme': 'var'}, {'subject': 'rotational excitation', 'subjectScheme': 'var'}, {'subject': 'rovibrational excitation', 'subjectScheme': 'var'}, {'subject': 'vibrational excitation', 'subjectScheme': 'var'}, {'subject': 'electronic excitation', 'subjectScheme': 'var'}, {'subject': 'collisional rate coefficients', 'subjectScheme': 'var'}, {'subject': 'fine structure', 'subjectScheme': 'var'}, {'subject': 'hyperfine structure', 'subjectScheme': 'var'}]",,['Radex']
-10.17178/emaa_para-h2(13c)o_rotation_903f6446,Rotation excitation of para-H2[13C]O by ortho-H2 and para-H2 collisions,"UGA, CNRS, CNRS-INSU, OSUG",2021,en,Dataset,"Please acknowledge the use of EMAA Database by citing the original articles in which the data were published (BibTeX format available), and adding the following sentence in your publication:
-This research has made use of spectroscopic and collisional data from the EMAA database (https://emaa.osug.fr). EMAA is supported by the Observatoire des Sciences de l'Univers de Grenoble (OSUG),Creative Commons Attribution 4.0 International,Data access and use are ruled by the EMAA data policy.",19 rotation energy levels / 36 radiative transitions / 171 collisional transitions for ortho-H2 (21 temperatures in the range 10-300K) / 171 collisional transitions for para-H2 (21 temperatures in the range 10-300K),mds,True,findable,0,0,0,0,0,2021-11-18T13:35:57.000Z,2021-11-18T13:35:58.000Z,inist.osug,jbru,"target para-H2[13C]O,excitationType Rotation,collisional excitation,collider.0 ortho-H2,collider.1 para-H2,astrophysics,interstellar medium,comets,circumstellar medium,gas,microwave spectroscopy,infrared spectroscopy,rotational excitation,rovibrational excitation,vibrational excitation,electronic excitation,collisional rate coefficients,fine structure,hyperfine structure","[{'subject': 'target para-H2[13C]O', 'subjectScheme': 'main'}, {'subject': 'excitationType Rotation', 'subjectScheme': 'main'}, {'subject': 'collisional excitation', 'subjectScheme': 'main'}, {'subject': 'collider.0 ortho-H2', 'subjectScheme': 'var'}, {'subject': 'collider.1 para-H2', 'subjectScheme': 'var'}, {'subject': 'astrophysics', 'subjectScheme': 'var'}, {'subject': 'interstellar medium', 'subjectScheme': 'var'}, {'subject': 'comets', 'subjectScheme': 'var'}, {'subject': 'circumstellar medium', 'subjectScheme': 'var'}, {'subject': 'gas', 'subjectScheme': 'var'}, {'subject': 'microwave spectroscopy', 'subjectScheme': 'var'}, {'subject': 'infrared spectroscopy', 'subjectScheme': 'var'}, {'subject': 'rotational excitation', 'subjectScheme': 'var'}, {'subject': 'rovibrational excitation', 'subjectScheme': 'var'}, {'subject': 'vibrational excitation', 'subjectScheme': 'var'}, {'subject': 'electronic excitation', 'subjectScheme': 'var'}, {'subject': 'collisional rate coefficients', 'subjectScheme': 'var'}, {'subject': 'fine structure', 'subjectScheme': 'var'}, {'subject': 'hyperfine structure', 'subjectScheme': 'var'}]",,['Radex']
-10.17178/cryobsclim.clb.col,"Col, Automatic Weather Station",CNRS - OSUG - Meteo France - Irstea,2010,,Dataset,"Data access and use are ruled by the CRYOBS-CLIM data policy.,Always quote below citation to Guyomarch et al. (2019) when using data.
-G. Guyomarc'h, H. bellot, V. Vionnet, F. Naaim-Bouvet, Y. Deliot, F. Fontaine, P. Pugliese, M. Naaim, K. Nishimura, A meteorological and blowing snow data set (2000-2016) from a high altitude alpine site (Col du Lac Blanc, France, 2720 m a.s.l), Earth System Science Data, 11(2019), 57-69, https://doi.org/10.5194/essd-11-57-2019. The following acknowledging sentence should appear in publications using Cryobs-Clim-CLB data and products: ""Cryobs-Clim Col du Lac Blanc is funded by Meteo France, Irstea, the Institut National des Sciences de l’Univers (INSU/CNRS), and the Observatoire des Sciences de l’Univers de Grenoble (OSUG / Université Grenoble Alpes)â€. You are invited to contact the PI(s) or lead scientist for more information about the data and to include the acknowledgement sentence in any publication using the data.","This dataset is part of the Cryobs-Clim-CLB (CRYosphere, an OBServatory of the CLIMate – Col du Lac Blanc) observatory",mds,True,findable,0,0,1,0,0,2018-04-09T10:16:35.000Z,2018-04-09T10:16:35.000Z,inist.osug,jbru,"Wind speed,Wind direction,Snow depth,Blowing snow flux","[{'subject': 'Wind speed', 'subjectScheme': 'main'}, {'subject': 'Wind direction', 'subjectScheme': 'main'}, {'subject': 'Snow depth', 'subjectScheme': 'main'}, {'subject': 'Blowing snow flux', 'subjectScheme': 'main'}]",,['CSV']
-10.17178/cryobsclim.clb.muzelle,"Muzelle, Automatic Weather Station",CNRS - OSUG - Meteo France - Irstea,2000,,Dataset,"Data access and use are ruled by the CRYOBS-CLIM data policy.,Always quote below citation to Guyomarch et al. (2019) when using data.
-G. Guyomarc'h, H. bellot, V. Vionnet, F. Naaim-Bouvet, Y. Deliot, F. Fontaine, P. Pugliese, M. Naaim, K. Nishimura, A meteorological and blowing snow data set (2000-2016) from a high altitude alpine site (Col du Lac Blanc, France, 2720 m a.s.l), Earth System Science Data, 11(2019), 57-69, https://doi.org/10.5194/essd-11-57-2019. The following acknowledging sentence should appear in publications using Cryobs-Clim-CLB data and products: ""Cryobs-Clim Col du Lac Blanc is funded by Meteo France, Irstea, the Institut National des Sciences de l’Univers (INSU/CNRS), and the Observatoire des Sciences de l’Univers de Grenoble (OSUG / Université Grenoble Alpes)â€. You are invited to contact the PI(s) or lead scientist for more information about the data and to include the acknowledgement sentence in any publication using the data.","This dataset is part of the Cryobs-Clim-CLB (CRYosphere, an OBServatory of the CLIMate – Col du Lac Blanc) observatory",mds,True,findable,0,0,1,0,0,2018-04-09T10:16:37.000Z,2018-04-09T10:16:37.000Z,inist.osug,jbru,"Wind speed,Wind direction,Air temperature,Snow depth","[{'subject': 'Wind speed', 'subjectScheme': 'main'}, {'subject': 'Wind direction', 'subjectScheme': 'main'}, {'subject': 'Air temperature', 'subjectScheme': 'main'}, {'subject': 'Snow depth', 'subjectScheme': 'main'}]",,['CSV']
-10.17178/cryobsclim.clb.dem,"Col du Lac Blanc, Digital Elevation Model",CNRS - OSUG - Meteo France - Irstea,2017,,Dataset,"Data access and use are ruled by the CRYOBS-CLIM data policy.,Always quote below citation to Guyomarch et al. (2019) when using data.
-G. Guyomarc'h, H. bellot, V. Vionnet, F. Naaim-Bouvet, Y. Deliot, F. Fontaine, P. Pugliese, M. Naaim, K. Nishimura, A meteorological and blowing snow data set (2000-2016) from a high altitude alpine site (Col du Lac Blanc, France, 2720 m a.s.l), Earth System Science Data, 11(2019), 57-69, https://doi.org/10.5194/essd-11-57-2019. The following acknowledging sentence should appear in publications using Cryobs-Clim-CLB data and products: ""Cryobs-Clim Col du Lac Blanc is funded by Meteo France, Irstea, the Institut National des Sciences de l’Univers (INSU/CNRS), and the Observatoire des Sciences de l’Univers de Grenoble (OSUG / Université Grenoble Alpes)â€. You are invited to contact the PI(s) or lead scientist for more information about the data and to include the acknowledgement sentence in any publication using the data.","This dataset is part of the Cryobs-Clim-CLB (CRYosphere, an OBServatory of the CLIMate – Col du Lac Blanc) observatory",mds,True,findable,0,0,1,0,0,2018-07-05T14:16:07.000Z,2018-07-05T14:16:07.000Z,inist.osug,jbru,Digital Elevation Model,"[{'subject': 'Digital Elevation Model', 'subjectScheme': 'main'}]",,['CSV']
-10.17178/ohmcv.dsd.tou.12-16.1,"DSD network, Tourgueille",CNRS - OSUG - OREME,2012,en,Dataset,"Data access and use are ruled by the OHMCV data policy.,The following acknowledging sentence should appear in publications using OHMCV data and products: ""OHMCV is funded by the Institut National des Sciences de l’Univers (INSU/CNRS) and the Observatoire des Sciences de l’Univers de Grenoble (OSUG / Université Grenoble Alpes)â€.",This dataset is part of the Cevennesâ€Vivarais Mediterranean Hydrometeorological Observatory (OHMCV),mds,True,findable,0,0,1,0,0,2017-10-17T13:24:21.000Z,2017-10-17T13:24:21.000Z,inist.osug,jbru,"Atmospheric conditions,Precipitation Rate,Droplet Size,DISDROMETERS,Ground networks,Hydrometeorological sites,Fixed Observation Stations","[{'subject': 'Atmospheric conditions', 'subjectScheme': 'main'}, {'subject': 'Precipitation Rate', 'subjectScheme': 'main'}, {'subject': 'Droplet Size', 'subjectScheme': 'main'}, {'subject': 'DISDROMETERS', 'subjectScheme': 'main'}, {'subject': 'Ground networks', 'subjectScheme': 'main'}, {'subject': 'Hydrometeorological sites', 'subjectScheme': 'main'}, {'subject': 'Fixed Observation Stations', 'subjectScheme': 'main'}]",,['NETCDF']
-10.17178/osug-collections.all,"OSUG-COLLECTIONS is a database of rocks, minerals and fossils","OSUG, UGA",2021,fr,Dataset,"License: CC BY ND,The following sentence should appear in the acknowledgments of the publication:
-OSUG-COLLECTIONS is a database of rocks, minerals and fossils, OSUG, UGA. doi:10.17178/OSUG-COLLECTIONS.all","The rock collection is mainly composed of Himalayan samples collected all along the Himalayan belt, from North-West Pakistan to Western China (mainly Pakistan, western India and Nepal). They are mainly represented by sedimentary, metamorphic and granitic rocks of the Higher Himalaya. They were collected from 1972 to today, often in area hard to reach, either for physiographic or political reasons. The rock collection also includes samples from the French Alps, in particular samples collected in the Arc-Isère Tunnel. The mineral collection is composed of more than 5000 specimens collected all around the world. The peculiarity of this collection is the large number of alpine minerals collected both from Mines and clefts. The paleontological collection is composed of more than 250 000 fossils, collected all around the world. It represents the first ammonite collection in the world for the Lower Cretaceous of the Mediterranean realm. More than 2800 fossils are reference specimens « types et figurés ». History: From 2008, the creation of a first database (collections.obs.ujf-grenoble.fr) allowed the digitalization of these collections. In 2020, migration and upgrade of the previous version to a worldwide openaccess one (web.collections.osug.fr) were made.",mds,True,findable,0,0,0,0,0,2021-03-09T08:16:09.000Z,2021-03-09T08:16:11.000Z,inist.osug,jbru,"Geological collections,Rock collection,Mineral collection,Fossil collection","[{'subject': 'Geological collections', 'subjectScheme': 'main'}, {'subject': 'Rock collection', 'subjectScheme': 'main'}, {'subject': 'Mineral collection', 'subjectScheme': 'main'}, {'subject': 'Fossil collection', 'subjectScheme': 'main'}]",,
-10.17178/emaa_a-ch3oh_rotation_aa19a665,"Rotation excitation of A-CH3OH by electron, ortho-H2 and para-H2 collisions","UGA, CNRS, CNRS-INSU, OSUG",2023,en,Dataset,"Please acknowledge the use of EMAA Database by citing the original articles in which the data were published (BibTeX format available), and adding the following sentence in your publication:
-This research has made use of spectroscopic and collisional data from the EMAA database (https://emaa.osug.fr). EMAA is supported by the Observatoire des Sciences de l'Univers de Grenoble (OSUG),Creative Commons Attribution 4.0 International,Data access and use are ruled by the EMAA data policy.",140 rotation energy levels / 891 radiative transitions / 9669 collisional transitions for para-H2 (20 temperatures in the range 10-200K) / 4005 collisional transitions for ortho-H2 (20 temperatures in the range 10-200K) / 891 collisional transitions for electron (20 temperatures in the range 10-200K),mds,True,findable,0,0,0,0,0,2023-12-07T15:50:33.000Z,2023-12-07T15:50:33.000Z,inist.osug,jbru,"target A-CH3OH,excitationType Rotation,collisional excitation,collider.0 para-H2,collider.1 ortho-H2,collider.2 electron,astrophysics,interstellar medium,comets,circumstellar medium,gas,microwave spectroscopy,infrared spectroscopy,rotational excitation,rovibrational excitation,vibrational excitation,electronic excitation,collisional rate coefficients,fine structure,hyperfine structure","[{'subject': 'target A-CH3OH', 'subjectScheme': 'main'}, {'subject': 'excitationType Rotation', 'subjectScheme': 'main'}, {'subject': 'collisional excitation', 'subjectScheme': 'main'}, {'subject': 'collider.0 para-H2', 'subjectScheme': 'var'}, {'subject': 'collider.1 ortho-H2', 'subjectScheme': 'var'}, {'subject': 'collider.2 electron', 'subjectScheme': 'var'}, {'subject': 'astrophysics', 'subjectScheme': 'var'}, {'subject': 'interstellar medium', 'subjectScheme': 'var'}, {'subject': 'comets', 'subjectScheme': 'var'}, {'subject': 'circumstellar medium', 'subjectScheme': 'var'}, {'subject': 'gas', 'subjectScheme': 'var'}, {'subject': 'microwave spectroscopy', 'subjectScheme': 'var'}, {'subject': 'infrared spectroscopy', 'subjectScheme': 'var'}, {'subject': 'rotational excitation', 'subjectScheme': 'var'}, {'subject': 'rovibrational excitation', 'subjectScheme': 'var'}, {'subject': 'vibrational excitation', 'subjectScheme': 'var'}, {'subject': 'electronic excitation', 'subjectScheme': 'var'}, {'subject': 'collisional rate coefficients', 'subjectScheme': 'var'}, {'subject': 'fine structure', 'subjectScheme': 'var'}, {'subject': 'hyperfine structure', 'subjectScheme': 'var'}]",,['Radex']
-10.17178/gnss.products.japan_gipsyx.daily,GNSS daily position solutions in Japan,"CNRS, OSUG, ISTERRE",2022,en,Dataset,"License: CC BY-NC-ND 4.0,Data access and use are ruled by the OSUG data policy.,The following acknowledging sentence should appear in publications using ISTerre GNSS products: ""GNSS products are calculated and provided by the Institut of Sciences de la Terre (ISTerre), belonging to the Institut National des Sciences de l’Univers (INSU/CNRS) and the Observatoire des Sciences de l’Univers de Grenoble (OSUG / Université Grenoble Alpes)"".
-You are invited to contact the PI(s) or lead scientist for more information about the data and to include the acknowledgement sentence in any publication using the data.","This dataset includes daily solutions processed by ISTerre for 1505 Japanese GNSS stations. These products are position time series (North, East and Vertical), in the ITRF14 reference frame, calculated from RINEX files using the PPP strategy with GIPSYX software.",mds,True,findable,0,0,1,1,0,2022-05-20T15:30:44.000Z,2022-05-20T15:30:47.000Z,inist.osug,jbru,"GNSS products,GNSS data analysis,Time serie positioning","[{'subject': 'GNSS products', 'subjectScheme': 'main'}, {'subject': 'GNSS data analysis', 'subjectScheme': 'var'}, {'subject': 'Time serie positioning', 'subjectScheme': 'var'}]",,"['pos', 'PBO']"
-10.17178/amma-catch.cl.pond_gha,"Surface water dataset (pond water level and turbidity), on the Agoufou pond (250 km2 watershed), Mali","IRD, CNRS-INSU, OSUG, OMP, OREME",2011,en,Dataset,"Creative Commons Attribution 4.0 International,Data access and use are ruled by the AMMA-CATCH data policy.,For any publication using AMMA-CATCH data, authors are asked to:
+Co-authorship: depending on the contribution of the data to the scientific results obtained, the authors should either propose co-authorship to the data providers or at least acknowledge their contribution.","Document the flood events in various geological context : sedimentary (Tondikiboro) and cristaline bedrock (Mele Haoussa), and for cultivated and natural vegetation covers.",mds,True,findable,0,0,1,0,0,2018-03-16T15:37:00.000Z,2018-03-16T15:37:00.000Z,inist.osug,jbru,"Discharge, erosion, turbidity, Niger,Sahelian climate,Discharge/Flow","[{'subject': 'Discharge, erosion, turbidity, Niger', 'subjectScheme': 'main'}, {'subject': 'Sahelian climate', 'subjectScheme': 'main'}, {'subject': 'Discharge/Flow', 'subjectScheme': 'var'}]",,"['CSV', 'NETCDF', 'O&M 1.0']"
+10.5281/zenodo.4616357,Raw Data for manuscript submitted to PCI as 'Early Spring Snowmelt and Summer Droughts Strongly Impair the Resilience of Key Microbial Communities in Subalpine Grassland Ecosystems',Zenodo,2021,en,Dataset,"Creative Commons Attribution 4.0 International,Open Access",Raw Data for manuscript submitted to PCI Ecology as 'Early Spring Snowmelt and Summer Droughts Strongly Impair the Resilience of Key Microbial Communities in Subalpine Grassland Ecosystems',mds,True,findable,0,0,0,0,0,2021-03-18T08:31:21.000Z,2021-03-18T08:31:22.000Z,cern.zenodo,cern,"climate change, grasslands, (de)nitrification, weather extremes, snowmelt, N2O","[{'subject': 'climate change, grasslands, (de)nitrification, weather extremes, snowmelt, N2O'}]",,
+10.5281/zenodo.10037960,FIG. 3 in Passiflora tinifolia Juss. (Passiflora subgenus Passiflora): resurrection and synonymies,Zenodo,2023,,Image,Creative Commons Attribution 4.0 International,"FIG. 3. — Pictures and drawings of P. laurifolia L., P. oblongifolia Pulle, P. gabrielleana Vanderpl. and P. favardensis Kuethe: A, P. laurifolia from Guadeloupe (photograph F. Booms); B, C, P. gabrielleana from Montsinery, near its locus classicus in French Guiana (photograph M. Rome); D, drawing of P. oblongifolia from the holotype Versteeg 652 (from Pulle 1906); E, drawing of P. gabrielleana by J. Vanderplank in Vanderplank & Laurens (2006); F, picture of P. favardensis by Christian Houel in Kuethe (2011). Scale bars: 1 cm.",api,True,findable,0,0,0,0,0,2023-10-24T17:26:34.000Z,2023-10-24T17:26:34.000Z,cern.zenodo,cern,"Biodiversity,Taxonomy","[{'subject': 'Biodiversity'}, {'subject': 'Taxonomy'}]",,
+10.48537/hal-03220247,Atmosphere and the Anthropogenic Metapolis,Reseau International Ambiances,2020,en,Text,Creative Commons Attribution Non Commercial No Derivatives 2.0 Generic,"This article explores connections between the concepts of atmosphere, Anthropocene and contemporary urbanity. First, contemporary urbanity is specified as Metapolis composed of different assemblies of density and heterogeneity. Second, the aisthetic atmospheres of the European Metapolis are portrayed as intensified in the historical centres and pluralized throughout the Metapolis. Third, the Metapolis is connected to the concept of the Anthropocene identified as the Great Acceleration. Fourth, the atmospheric and the anthropogenic aspects are assembled under the headings of the weather, atmospheric atten- tiveness to the Anthropocene and atmospheric aspects of Metapolitan climate politics.",fabrica,True,findable,0,0,0,0,0,2021-06-16T16:26:02.000Z,2021-06-16T16:26:02.000Z,jbru.aau,jbru,"Air,Anthropocene,Atmosphere,Great Acceleration,Metapolis","[{'lang': 'en', 'subject': 'Air'}, {'lang': 'en', 'subject': 'Anthropocene'}, {'lang': 'en', 'subject': 'Atmosphere'}, {'lang': 'en', 'subject': 'Great Acceleration'}, {'lang': 'en', 'subject': 'Metapolis'}]",['6 pages'],['application/pdf']
+10.5281/zenodo.7828494,X-ray Fluorescence Ghost Imaging - CuSn mask - Three Wires (Fe & Cu),Zenodo,2023,en,Dataset,"Creative Commons Attribution 4.0 International,Open Access","X-ray Fluorescence Ghost Imaging (XRF-GI) dataset of three wires (one Fe, and two Cu) in a plastic capillary. The capillary contains trace elements like Zn, Zr, etc. The GI scan is presented in the following article <insert doi here>. A total of 896 GI realizations were taken, organized in 16 vertical translations and 56 horizontal translations of the structuring element (CuSn mask).<br> The dataset contains both the sample transmission images, and the masks plus sample transmission images. No images of the masks are provided (they need to be computed). The data is organized in a HDF5 file, under the following structure: <pre><code>dataset_CuSn-mask_3wires.h5 │ ├data │ ├flat_panel │ │ ├dark [float32: 16 × 170 × 350] │ │ ├empty_beam [float32: 170 × 350] │ │ ├sample [float32: 16 × 170 × 350] │ │ └sample_and_masks [float32: 16 × 56 × 170 × 350] │ └xrf [float32: 16 × 56 × 4096] │ └metadata └xrf ├bias_keV [float64: scalar] ├gain_keV [float64: scalar] └ranges ├Ca [int64: 2] ├Cu [int64: 2] ├Fe [int64: 2] ├Si [int64: 2] ├Ti [int64: 2] ├Zn [int64: 2] └Zr [int64: 2] </code></pre> The meaning of the paths is: <code>/data/xrf</code> contains the XRF spectra for each GI realization <code>/data/flat_panel/dark</code> contains the dark images of each scan line (no beam) <code>/data/flat_panel/empty_beam</code> contains the empty beam (no sample & no masks) intensity distribution <code>/data/flat_panel/sample</code> contains the transmission images of the sample at each scan line <code>/data/flat_panel/sample</code>_and_masks contains the transmission images of the sample and masks at each GI realization <code>/metadata/xrf/bias_keV</code> contains the bias in keV of the XRF spectrum <code>/metadata/xrf/gain_keV</code> contains the gain in keV of each XRF energy bin <code>/metadata/xrf/ranges/</code> contains the bin ranges for interesting K<sub>alpha</sub> elemental emission lines in the XRF spectrum For further information we refer to the associated publication.",mds,True,findable,0,0,0,1,0,2023-06-28T09:55:33.000Z,2023-06-28T09:55:33.000Z,cern.zenodo,cern,"ghost imaging,x-ray fluorescence,xrf,xrf-gi,single-pixel","[{'subject': 'ghost imaging'}, {'subject': 'x-ray fluorescence'}, {'subject': 'xrf'}, {'subject': 'xrf-gi'}, {'subject': 'single-pixel'}]",,
+10.6084/m9.figshare.24196813.v1,Additional file 1 of Sonometric assessment of cough predicts extubation failure: SonoWean—a proof-of-concept study,figshare,2023,,Text,Creative Commons Attribution 4.0 International,"Additional file 1. Supplemental Fig 1: Description of the Pulsar Model 14® Sound Level Meter and method for measurement. The Model 14 is a general purpose digital sound level meter which meets the full requirements of IEC 61672 to Class 2. Before each inclusion the Sound Level Meter was calibrated acoustically using an external reference, i.e the Sound Level Calibrator Model 106, which is placed over the microphone. The calibrator generates a stabilized Sound Pressure Level of 94dB (+- 0.3dB) at a frequency of 1 kHz. Using a Low range (Low = 35dB to 100dB), maximum sound level was measured pressing the MAX HOLD button for at least ½ second and was ultimately noticed. A level of sound in decibels (L) is defined as ten times the base-10 logarithm of the ratio between two power-related quantities I (i.e cough-volume related sound) and Io (i.e the human hearing threshold) as follows: L = 10 * Log 10 (I/ Io). Thus, an apparent mild increase from 73 to 76 dB in sound level results in multiplying acoustic energy by a factor two.",mds,True,findable,0,0,0,0,0,2023-09-26T03:25:47.000Z,2023-09-26T03:25:47.000Z,figshare.ars,otjm,"Medicine,Cell Biology,Physiology,FOS: Biological sciences,Immunology,FOS: Clinical medicine,Infectious Diseases,FOS: Health sciences,Computational Biology","[{'subject': 'Medicine'}, {'subject': 'Cell Biology'}, {'subject': 'Physiology'}, {'subject': 'FOS: Biological sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Immunology'}, {'subject': 'FOS: Clinical medicine', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Infectious Diseases'}, {'subject': 'FOS: Health sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Computational Biology'}]",['117717 Bytes'],
+10.6084/m9.figshare.23822157,Dataset for the replication experiment from Mirror exposure following visual body-size adaptation does not affect own body image,The Royal Society,2023,,Dataset,Creative Commons Attribution 4.0 International,Data for the replication experiment in CSV format.,mds,True,findable,0,0,0,0,0,2023-08-02T11:18:27.000Z,2023-08-02T11:18:27.000Z,figshare.ars,otjm,"Cognitive Science not elsewhere classified,Psychology and Cognitive Sciences not elsewhere classified","[{'subject': 'Cognitive Science not elsewhere classified'}, {'subject': 'Psychology and Cognitive Sciences not elsewhere classified'}]",['3105 Bytes'],
+10.5281/zenodo.7056694,Companion data for Communication-Aware Load Balancing of the LU Factorization over Heterogeneous Clusters,Zenodo,2020,en,Dataset,"Creative Commons Attribution 4.0 International,Open Access","This is the companion data repository for the paper entitled <strong>Communication-Aware Load Balancing of the LU Factorization over Heterogeneous Clusters</strong> by Lucas Leandro Nesi, Lucas Mello Schnorr, and Arnaud Legrand. The manuscript has been accepted in the ICPADS 2020.",mds,True,findable,0,0,0,0,0,2022-09-07T08:36:26.000Z,2022-09-07T08:36:27.000Z,cern.zenodo,cern,,,,
+10.17178/ohmcv.lim.cla.12-14.1,"limnimeter network, Gazel and Claduègne catchments",CNRS - OSUG - OREME,2012,en,Dataset,"Data access and use are ruled by the OHMCV data policy.,The following acknowledging sentence should appear in publications using OHMCV data and products: ""OHMCV is funded by the Institut National des Sciences de l’Univers (INSU/CNRS) and the Observatoire des Sciences de l’Univers de Grenoble (OSUG / Université Grenoble Alpes)â€.",This dataset is part of the Cevennesâ€Vivarais Mediterranean Hydrometeorological Observatory (OHMCV),mds,True,findable,0,0,1,0,0,2017-03-10T17:09:27.000Z,2017-03-10T17:09:27.000Z,inist.osug,jbru,"Atmospheric conditions,Atmospheric Pressure Measurements,Water Depth,Conductivity,Stage Height,Water Pressure,Water Temperature,Air Temperature,WATER LEVEL GAUGES,CTD > Conductivity, Temperature, Depth,PRESSURE SENSORS,Ground networks","[{'subject': 'Atmospheric conditions', 'subjectScheme': 'main'}, {'subject': 'Atmospheric Pressure Measurements', 'subjectScheme': 'main'}, {'subject': 'Water Depth', 'subjectScheme': 'main'}, {'subject': 'Conductivity', 'subjectScheme': 'main'}, {'subject': 'Stage Height', 'subjectScheme': 'main'}, {'subject': 'Water Pressure', 'subjectScheme': 'main'}, {'subject': 'Water Temperature', 'subjectScheme': 'main'}, {'subject': 'Air Temperature', 'subjectScheme': 'main'}, {'subject': 'WATER LEVEL GAUGES', 'subjectScheme': 'main'}, {'subject': 'CTD > Conductivity, Temperature, Depth', 'subjectScheme': 'main'}, {'subject': 'PRESSURE SENSORS', 'subjectScheme': 'main'}, {'subject': 'Ground networks', 'subjectScheme': 'main'}]",,"['CSV', 'ESRI Grid', 'NETCDF']"
+10.18709/perscido.2017.10.ds117,Sense Embeddings Models,PerSciDo,2017,en,Dataset,Creative Commons Attribution 4.0 International,"This dataset contains the models of sense embeddings, or sense vectors, produced for the article called ""Sense Embeddings in Knowledge-Based Word Sense Disambiguation"" by Loïc Vial, Benjamin Lecouteux and Didier Schwab, in proceedings of the 12th International Conference on Computational Semantics (IWCS 2017).",api,True,findable,0,0,0,1,0,2017-11-03T01:25:56.000Z,2017-11-03T01:25:56.000Z,inist.persyval,vcob,"Computer Science,Linguistics,FOS: Languages and literature,FOS: Languages and literature,Mathematics,FOS: Mathematics,FOS: Mathematics","[{'lang': 'en', 'subject': 'Computer Science'}, {'lang': 'en', 'subject': 'Linguistics'}, {'subject': 'FOS: Languages and literature', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'FOS: Languages and literature', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'lang': 'en', 'subject': 'Mathematics'}, {'subject': 'FOS: Mathematics', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'FOS: Mathematics', 'subjectScheme': 'Fields of Science and Technology (FOS)'}]",['13 GB'],['word2vec']
+10.17178/emaa_ch2nh_hyperfine_9027c066,Hyperfine excitation of CH2NH by para-H2 collisions,"UGA, CNRS, CNRS-INSU, OSUG",2023,en,Dataset,"Please acknowledge the use of EMAA Database by citing the original articles in which the data were published (BibTeX format available), and adding the following sentence in your publication:
+This research has made use of spectroscopic and collisional data from the EMAA database (https://emaa.osug.fr). EMAA is supported by the Observatoire des Sciences de l'Univers de Grenoble (OSUG),Creative Commons Attribution 4.0 International,Data access and use are ruled by the EMAA data policy.",43 hyperfine energy levels / 180 radiative transitions / 861 collisional transitions for para-H2 (6 temperatures in the range 5-30K),mds,True,findable,0,0,0,0,0,2023-12-07T15:50:42.000Z,2023-12-07T15:50:42.000Z,inist.osug,jbru,"target CH2NH,excitationType Hyperfine,collisional excitation,collider.0 para-H2,astrophysics,interstellar medium,comets,circumstellar medium,gas,microwave spectroscopy,infrared spectroscopy,rotational excitation,rovibrational excitation,vibrational excitation,electronic excitation,collisional rate coefficients,fine structure,hyperfine structure","[{'subject': 'target CH2NH', 'subjectScheme': 'main'}, {'subject': 'excitationType Hyperfine', 'subjectScheme': 'main'}, {'subject': 'collisional excitation', 'subjectScheme': 'main'}, {'subject': 'collider.0 para-H2', 'subjectScheme': 'var'}, {'subject': 'astrophysics', 'subjectScheme': 'var'}, {'subject': 'interstellar medium', 'subjectScheme': 'var'}, {'subject': 'comets', 'subjectScheme': 'var'}, {'subject': 'circumstellar medium', 'subjectScheme': 'var'}, {'subject': 'gas', 'subjectScheme': 'var'}, {'subject': 'microwave spectroscopy', 'subjectScheme': 'var'}, {'subject': 'infrared spectroscopy', 'subjectScheme': 'var'}, {'subject': 'rotational excitation', 'subjectScheme': 'var'}, {'subject': 'rovibrational excitation', 'subjectScheme': 'var'}, {'subject': 'vibrational excitation', 'subjectScheme': 'var'}, {'subject': 'electronic excitation', 'subjectScheme': 'var'}, {'subject': 'collisional rate coefficients', 'subjectScheme': 'var'}, {'subject': 'fine structure', 'subjectScheme': 'var'}, {'subject': 'hyperfine structure', 'subjectScheme': 'var'}]",,['Radex']
+10.7280/d11h3x,Annual Ice Velocity of the Greenland Ice Sheet (2010-2017),Dryad,2019,en,Dataset,Creative Commons Attribution 4.0 International,"We derive surface ice velocity using data from 16 satellite sensors deployed by 6 different space agencies. The list of sensors is given in the Table S1. The SAR data are processed from raw to single look complex using the GAMMA processor (www.gamma-rs.ch). All measurements rely on consecutive images where the ice displacement is estimated from tracking or interferometry (Joughin et al. 1998, Michel and Rignot 1999, Mouginot et al. 2012). Surface ice motion is detected using a speckle tracking algorithm for SAR instruments and feature tracking for Landsat. The cross-correlation program for both SAR and optical images is ampcor from the JPL/Caltech repeat orbit interferometry package (ROI_PAC). We assemble a composite ice velocity mosaic at 150 m posting using our entire speed database as described in Mouginot et al. 2017 (Fig. 1A). The ice velocity maps are also mosaicked in annual maps at 150 m posting, covering July, 1st to June, 30th of the following year, i.e. centered on January, 1st (12) because a majority of historic data were acquired in winter season, hence spanning two calendar years. We use Landsat-1&2/MSS images between 1972 and 1976 and combine image pairs up to 2 years apart to measure the displacement of surface features between images as described in Dehecq et al., 2015 or Mouginot et al. 2017. We use the 1978 2-m orthorectified aerial images to correct the geolocation of Landsat-1 and -2 images (Korsgaard et al., 2016). Between 1984 and 1991, we process Landsat-4&5/TM image pairs acquired up to 1-year apart. Only few Landsat-4 and -5 images (~3%) needed geocoding refinement using the same 1978 reference as used previously. Between 1991 and 1998, we process radar images from the European ERS-1/2, with a repeat cycle varying from 3 to 36 days depending on the mission phase. Between 1999 and 2013, we used Landsat-7, ASTER, RADARSAT-1/2, ALOS/PALSAR, ENVISAT/ASAR to determine surface velocity (Joughin et al., 2010; Howat, I. 2017; Rignot and Mouginot, 2012). After 2013, we use Landsat-8, Sentinel-1a/b and RADARSAT-2 (Mouginot et al., 2017). All synthetic aperture radar (SAR) datasets are processed assuming surface parallel flow using the digital elevation model (DEM) from the Greenland Mapping Project (GIMP; Howat et al., 2014) and calibrated as described in Mouginot et al., 2012, 2017. Data were provided by the European Space Agency (ESA), the EU Copernicus program (through ESA), the Canadian Space Agency (CSA), the Japan Aerospace Exploration Agency (JAXA), the Agenzia Spaziale Italiana (ASI), the Deutsches Zentrum für Luft- und Raumfahrt e.V. (DLR) and the National Aeronautics and Space Administration (NASA). SAR data acquisitions were coordinated by the Polar Space Task Group (PSTG). Errors are estimated based on sensor resolution and time lapse between consecutive images as described in Mouginot et al. 2017.",mds,True,findable,761,111,0,3,0,2019-03-29T12:53:36.000Z,2019-03-29T12:53:37.000Z,dryad.dryad,dryad,,,['5035575468 bytes'],
+10.5281/zenodo.4760499,"Figs. 17-20 in Contribution To The Knowledge Of The Moroccan High And Middle Atlas Stoneflies (Plecoptera, Insecta)",Zenodo,2014,,Image,"Creative Commons Attribution 4.0 International,Open Access","Figs. 17-20. Capnioneura atlasica sp. n. 17: male abdominal tip in dorsal view, 18: paraproct shaft and specillum, 19: male abdominal tip in lateral view, 20: male abdominal tip in ventral view. Figs. 21-22. Capnioneura petitpierreae. 21: paraproct shaft and specillum, 22: male abdominal tip in lateral view.",mds,True,findable,0,0,2,0,0,2021-05-14T05:27:46.000Z,2021-05-14T05:27:47.000Z,cern.zenodo,cern,"Biodiversity,Taxonomy,Animalia,Arthropoda,Insecta,Plecoptera,Capniidae,Capnioneura","[{'subject': 'Biodiversity'}, {'subject': 'Taxonomy'}, {'subject': 'Animalia'}, {'subject': 'Arthropoda'}, {'subject': 'Insecta'}, {'subject': 'Plecoptera'}, {'subject': 'Capniidae'}, {'subject': 'Capnioneura'}]",,
+10.17178/ohmcv.hss.cla.11-14.1,Gazel and Claduègne hydro-sedimentary stations,CNRS - OSUG - OREME,2011,en,Dataset,"Data access and use are ruled by the OHMCV data policy.,The following acknowledging sentence should appear in publications using OHMCV data and products: ""OHMCV is funded by the Institut National des Sciences de l’Univers (INSU/CNRS) and the Observatoire des Sciences de l’Univers de Grenoble (OSUG / Université Grenoble Alpes)â€.",This dataset is part of the Cevennesâ€Vivarais Mediterranean Hydrometeorological Observatory (OHMCV),mds,True,findable,0,0,1,0,0,2017-03-10T17:09:26.000Z,2017-03-10T17:09:27.000Z,inist.osug,jbru,"Discharge/Flow,Surface Water,Turbidity,Conductivity,Stage Height,Water Temperature,Suspended Solids,WATER LEVEL GAUGES,Ground networks","[{'subject': 'Discharge/Flow', 'subjectScheme': 'main'}, {'subject': 'Surface Water', 'subjectScheme': 'main'}, {'subject': 'Turbidity', 'subjectScheme': 'main'}, {'subject': 'Conductivity', 'subjectScheme': 'main'}, {'subject': 'Stage Height', 'subjectScheme': 'main'}, {'subject': 'Water Temperature', 'subjectScheme': 'main'}, {'subject': 'Suspended Solids', 'subjectScheme': 'main'}, {'subject': 'WATER LEVEL GAUGES', 'subjectScheme': 'main'}, {'subject': 'Ground networks', 'subjectScheme': 'main'}]",,"['CSV', 'ESRI Grid', 'NETCDF']"
+10.5281/zenodo.10005463,"Data for the paper: ""Folding a Cluster containing a Distributed File-System""",Zenodo,2023,,Dataset,Creative Commons Attribution 4.0 International,"Associated paper: https://hal.science/hal-04038000
+The repository containing the analysis scripts is available here
+
+NFS repo
+OrangeFS repo",api,True,findable,0,0,0,0,0,2023-10-15T23:10:52.000Z,2023-10-15T23:10:53.000Z,cern.zenodo,cern,,,,
+10.17178/emaa_para-nd3_hyperfine_416718be,Hyperfine excitation of para-ND3 by para-H2 collisions,"UGA, CNRS, CNRS-INSU, OSUG",2021,en,Dataset,"Please acknowledge the use of EMAA Database by citing the original articles in which the data were published (BibTeX format available), and adding the following sentence in your publication:
+This research has made use of spectroscopic and collisional data from the EMAA database (https://emaa.osug.fr). EMAA is supported by the Observatoire des Sciences de l'Univers de Grenoble (OSUG),Creative Commons Attribution 4.0 International,Data access and use are ruled by the EMAA data policy.",7 hyperfine energy levels / 9 radiative transitions / 15 collisional transitions for para-H2 (8 temperatures in the range 5-40K),mds,True,findable,0,0,0,0,0,2021-11-17T14:02:06.000Z,2021-11-17T14:02:07.000Z,inist.osug,jbru,"target para-ND3,excitationType Hyperfine,collisional excitation,collider.0 para-H2,astrophysics,interstellar medium,comets,circumstellar medium,gas,microwave spectroscopy,infrared spectroscopy,rotational excitation,rovibrational excitation,vibrational excitation,electronic excitation,collisional rate coefficients,fine structure,hyperfine structure","[{'subject': 'target para-ND3', 'subjectScheme': 'main'}, {'subject': 'excitationType Hyperfine', 'subjectScheme': 'main'}, {'subject': 'collisional excitation', 'subjectScheme': 'main'}, {'subject': 'collider.0 para-H2', 'subjectScheme': 'var'}, {'subject': 'astrophysics', 'subjectScheme': 'var'}, {'subject': 'interstellar medium', 'subjectScheme': 'var'}, {'subject': 'comets', 'subjectScheme': 'var'}, {'subject': 'circumstellar medium', 'subjectScheme': 'var'}, {'subject': 'gas', 'subjectScheme': 'var'}, {'subject': 'microwave spectroscopy', 'subjectScheme': 'var'}, {'subject': 'infrared spectroscopy', 'subjectScheme': 'var'}, {'subject': 'rotational excitation', 'subjectScheme': 'var'}, {'subject': 'rovibrational excitation', 'subjectScheme': 'var'}, {'subject': 'vibrational excitation', 'subjectScheme': 'var'}, {'subject': 'electronic excitation', 'subjectScheme': 'var'}, {'subject': 'collisional rate coefficients', 'subjectScheme': 'var'}, {'subject': 'fine structure', 'subjectScheme': 'var'}, {'subject': 'hyperfine structure', 'subjectScheme': 'var'}]",,['Radex']
+10.5281/zenodo.5535532,"Satellite-observed surface flow speed within Russell sector, West Greenland, bi-weekly average of 2015-2019",Zenodo,2021,en,Dataset,"Creative Commons Attribution 4.0 International,Open Access","An average horizontal surface ice velocity of Russell sector (Greenland) with 2-week temporal and 150m spatial resolution. Derived from satellite images collected between 2015 and 2019 by Landsat-8, Sentinel-1, and Sentinel-2. The details on the data processing can be found in https://doi.org/10.5194/tc-2021-170. <br> Dataset contains 24 independent NetCDF files (one per 2-weeks time step) with maps of vx and vy velocity components, maps of associated uncertainties per velocity component (STD of the 2-weeks averaged raw satellite measurements), and map of number of averaged measurements.",mds,True,findable,0,0,0,0,0,2021-10-05T10:02:05.000Z,2021-10-05T10:02:07.000Z,cern.zenodo,cern,"ice flow speed, seasonal, satellite measurements, Greenland, Russell","[{'subject': 'ice flow speed, seasonal, satellite measurements, Greenland, Russell'}]",,
+10.5281/zenodo.7941767,"Supplementary to ""A finite-element framework to explore the numerical solution of the coupled problem of heat conduction, water vapor diffusion and settlement in dry snow (IvoriFEM v0.1.0)""",Zenodo,2023,,Software,Creative Commons Attribution 4.0 International,"This folder contains the source code of the homemade python-based finite-element model at the version used to generate the results of (to be submitted) ""A finite-element framework to explore the numerical solution of the coupled problem of heat conduction, water vapor diffusion and settlement in dry snow"".
+
+
+For setting up the environment and running the simulations, please follow the instructions described in the README file. We highly recommend that potential future users and developers access the code from its Git repository (https://github.com/jbrondex/ivori_model_homemadefem, last access: 16 May 2023) to benefit from the last version of the code. The version which has been saved here is tagged v0.1.0.",mds,True,findable,0,0,0,0,0,2023-05-16T15:37:56.000Z,2023-05-16T15:37:57.000Z,cern.zenodo,cern,"snow modeling,heat conduction in snow,vapor diffusion in snow","[{'subject': 'snow modeling'}, {'subject': 'heat conduction in snow'}, {'subject': 'vapor diffusion in snow'}]",,
+10.5281/zenodo.8420459,Datasets for 2D Vertical Convection: Base States and Leading Linear Modes using Snek5000-cbox,Zenodo,2023,,Dataset,"Creative Commons Attribution 4.0 International,Open Access","This repository contains two types of datasets related to 2D vertical convection analysis, generated using the snek5000-cbox simulation framework. The first dataset includes base states computed with the Selective Frequency Damping (SFD) method, considering various aspect ratios and Prandtl numbers. The second dataset provides the decomposed amplitude, phase, frequency, and omega of the leading linear mode, accompanied by the corresponding base states for different aspect ratios and Prandtl numbers. All datasets are stored in the .h5 file format for easy access and analysis. The scripts used to produce the datasets are provided in the repository https://github.com/snek5000/snek5000-cbox/tree/main/doc/scripts/2022sidewall_conv_instabilities.",mds,True,findable,0,0,0,0,0,2023-10-09T09:09:02.000Z,2023-10-09T09:09:02.000Z,cern.zenodo,cern,"Vertical convection,Linear stability,Snek5000-cbox","[{'subject': 'Vertical convection'}, {'subject': 'Linear stability'}, {'subject': 'Snek5000-cbox'}]",,
+10.48537/hal-03220248,Sensibilities to Lifeworlds,Reseau International Ambiances,2020,en,Text,Creative Commons Attribution Non Commercial No Derivatives 2.0 Generic,"Our ways of being sensitive to the lifeworlds are profoundly changing. A new distribution of the sensible is emerging, giving rise to alternative feelings towards the living. My aim is to explore how sensibility comes into resonance with current socio-ecological issues. Five main forms of awareness to living envi- ronments are identified: 1) “weavers†tend to explore new attentions to living beings and to intertwine narratives together, 2) “resonators†tend to attune to ambient milieus and to vibrate to impersonal affects, 3) “appreciators†tend to revisit æsthetically the familiar and to appraise the qualities of everyday environments, 4) “performers†tend to alter ordinary gestures and to explore the powers of bodies, 5) “lis- teners†tend to pay attention to the ways the world sound and to render audible current environmental phenomena.",fabrica,True,findable,0,0,0,0,0,2021-06-16T16:28:09.000Z,2021-06-16T16:28:09.000Z,jbru.aau,jbru,"Sensibility,Aethetic,Narrative,Affect,Gesture,Sound,Attention","[{'lang': 'eng', 'subject': 'Sensibility'}, {'lang': 'eng', 'subject': 'Aethetic'}, {'lang': 'eng', 'subject': 'Narrative'}, {'lang': 'eng', 'subject': 'Affect'}, {'lang': 'eng', 'subject': 'Gesture'}, {'lang': 'eng', 'subject': 'Sound'}, {'lang': 'eng', 'subject': 'Attention'}]",['6 pages'],['application/pdf']
+10.25647/liepp.wp.38bis,"Better residential than ethnic discrimination! ( LIEPP Working Paper, n°38 bis)",Sciences Po - LIEPP,2015,en,Other,,"Access to housing is difficult for minorities in France. An audit study we run in the Paris area showed that minority applicants do not face a strong disadvantage in the first step of the application; however, the fact that applicants come from a deprived area leads to more frequent unfavorable outcome (we call this residential discrimination as opposed to ethnic discrimination). The puzzle and paradox come from the fact that face-to-face interviews with real-estate agents in the city of Paris and the Parisian region DO NOT confirm this result. If anything, all discrimi-nation arise from ethnicity and agents dis-miss residential discrimination. Our paper, forthcoming in Urban Studies, documents this contrast between quantitative and qualitative methods and proposes interpretations.",fabricaForm,True,findable,0,0,0,0,0,2022-04-07T13:11:39.000Z,2022-04-07T13:11:40.000Z,vqpf.dris,vqpf,FOS: Social sciences,"[{'subject': 'FOS: Social sciences', 'valueUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'schemeUri': 'http://www.oecd.org/science/inno', 'subjectScheme': 'Fields of Science and Technology (FOS)'}]",,
+10.17178/emaa_a-(13c)h3oh_rotation_6b79e149,Rotation excitation of A-[13C]H3OH by ortho-H2 and para-H2 collisions,"UGA, CNRS, CNRS-INSU, OSUG",2023,en,Dataset,"Please acknowledge the use of EMAA Database by citing the original articles in which the data were published (BibTeX format available), and adding the following sentence in your publication:
+This research has made use of spectroscopic and collisional data from the EMAA database (https://emaa.osug.fr). EMAA is supported by the Observatoire des Sciences de l'Univers de Grenoble (OSUG),Creative Commons Attribution 4.0 International,Data access and use are ruled by the EMAA data policy.",19 rotation energy levels / 40 radiative transitions / 165 collisional transitions for para-H2 (20 temperatures in the range 10-200K) / 171 collisional transitions for ortho-H2 (20 temperatures in the range 10-200K),mds,True,findable,0,0,0,0,0,2023-12-07T15:50:30.000Z,2023-12-07T15:50:31.000Z,inist.osug,jbru,"target A-[13C]H3OH,excitationType Rotation,collisional excitation,collider.0 para-H2,collider.1 ortho-H2,astrophysics,interstellar medium,comets,circumstellar medium,gas,microwave spectroscopy,infrared spectroscopy,rotational excitation,rovibrational excitation,vibrational excitation,electronic excitation,collisional rate coefficients,fine structure,hyperfine structure","[{'subject': 'target A-[13C]H3OH', 'subjectScheme': 'main'}, {'subject': 'excitationType Rotation', 'subjectScheme': 'main'}, {'subject': 'collisional excitation', 'subjectScheme': 'main'}, {'subject': 'collider.0 para-H2', 'subjectScheme': 'var'}, {'subject': 'collider.1 ortho-H2', 'subjectScheme': 'var'}, {'subject': 'astrophysics', 'subjectScheme': 'var'}, {'subject': 'interstellar medium', 'subjectScheme': 'var'}, {'subject': 'comets', 'subjectScheme': 'var'}, {'subject': 'circumstellar medium', 'subjectScheme': 'var'}, {'subject': 'gas', 'subjectScheme': 'var'}, {'subject': 'microwave spectroscopy', 'subjectScheme': 'var'}, {'subject': 'infrared spectroscopy', 'subjectScheme': 'var'}, {'subject': 'rotational excitation', 'subjectScheme': 'var'}, {'subject': 'rovibrational excitation', 'subjectScheme': 'var'}, {'subject': 'vibrational excitation', 'subjectScheme': 'var'}, {'subject': 'electronic excitation', 'subjectScheme': 'var'}, {'subject': 'collisional rate coefficients', 'subjectScheme': 'var'}, {'subject': 'fine structure', 'subjectScheme': 'var'}, {'subject': 'hyperfine structure', 'subjectScheme': 'var'}]",,['Radex']
+10.17178/emaa_so_fine_e3d652e7,Fine excitation of SO by para-H2 collisions,"UGA, CNRS, CNRS-INSU, OSUG",2023,en,Dataset,"Please acknowledge the use of EMAA Database by citing the original articles in which the data were published (BibTeX format available), and adding the following sentence in your publication:
+This research has made use of spectroscopic and collisional data from the EMAA database (https://emaa.osug.fr). EMAA is supported by the Observatoire des Sciences de l'Univers de Grenoble (OSUG),Creative Commons Attribution 4.0 International,Data access and use are ruled by the EMAA data policy.",31 fine energy levels / 101 radiative transitions / 465 collisional transitions for para-H2 (10 temperatures in the range 5-50K),mds,True,findable,0,0,0,0,0,2023-12-07T15:52:32.000Z,2023-12-07T15:52:32.000Z,inist.osug,jbru,"target SO,excitationType Fine,collisional excitation,collider.0 para-H2,astrophysics,interstellar medium,comets,circumstellar medium,gas,microwave spectroscopy,infrared spectroscopy,rotational excitation,rovibrational excitation,vibrational excitation,electronic excitation,collisional rate coefficients,fine structure,hyperfine structure","[{'subject': 'target SO', 'subjectScheme': 'main'}, {'subject': 'excitationType Fine', 'subjectScheme': 'main'}, {'subject': 'collisional excitation', 'subjectScheme': 'main'}, {'subject': 'collider.0 para-H2', 'subjectScheme': 'var'}, {'subject': 'astrophysics', 'subjectScheme': 'var'}, {'subject': 'interstellar medium', 'subjectScheme': 'var'}, {'subject': 'comets', 'subjectScheme': 'var'}, {'subject': 'circumstellar medium', 'subjectScheme': 'var'}, {'subject': 'gas', 'subjectScheme': 'var'}, {'subject': 'microwave spectroscopy', 'subjectScheme': 'var'}, {'subject': 'infrared spectroscopy', 'subjectScheme': 'var'}, {'subject': 'rotational excitation', 'subjectScheme': 'var'}, {'subject': 'rovibrational excitation', 'subjectScheme': 'var'}, {'subject': 'vibrational excitation', 'subjectScheme': 'var'}, {'subject': 'electronic excitation', 'subjectScheme': 'var'}, {'subject': 'collisional rate coefficients', 'subjectScheme': 'var'}, {'subject': 'fine structure', 'subjectScheme': 'var'}, {'subject': 'hyperfine structure', 'subjectScheme': 'var'}]",,['Radex']
+10.17178/cryobsclim.clb.bso,"Col du Lac Blanc, Hourly blowing snow occurrence",CNRS - OSUG - Meteo France - Irstea,2000,,Dataset,"Data access and use are ruled by the CRYOBS-CLIM data policy.,Always quote below citation to Guyomarch et al. (2019) when using data.
+G. Guyomarc'h, H. bellot, V. Vionnet, F. Naaim-Bouvet, Y. Deliot, F. Fontaine, P. Pugliese, M. Naaim, K. Nishimura, A meteorological and blowing snow data set (2000-2016) from a high altitude alpine site (Col du Lac Blanc, France, 2720 m a.s.l), Earth System Science Data, 11(2019), 57-69, https://doi.org/10.5194/essd-11-57-2019. The following acknowledging sentence should appear in publications using Cryobs-Clim-CLB data and products: ""Cryobs-Clim Col du Lac Blanc is funded by Meteo France, Irstea, the Institut National des Sciences de l’Univers (INSU/CNRS), and the Observatoire des Sciences de l’Univers de Grenoble (OSUG / Université Grenoble Alpes)â€. You are invited to contact the PI(s) or lead scientist for more information about the data and to include the acknowledgement sentence in any publication using the data.","This dataset is part of the Cryobs-Clim-CLB (CRYosphere, an OBServatory of the CLIMate – Col du Lac Blanc) observatory",mds,True,findable,0,0,1,0,0,2018-04-09T10:16:34.000Z,2018-04-09T10:16:35.000Z,inist.osug,jbru,Blowing snow occurrence,"[{'subject': 'Blowing snow occurrence', 'subjectScheme': 'main'}]",,['CSV']
+10.17178/emaa_para-h2o_rotation_18d206fb,Rotation excitation of para-H2O by H and electron collisions,"UGA, CNRS, CNRS-INSU, OSUG",2022,en,Dataset,"Please acknowledge the use of EMAA Database by citing the original articles in which the data were published (BibTeX format available), and adding the following sentence in your publication:
+This research has made use of spectroscopic and collisional data from the EMAA database (https://emaa.osug.fr). EMAA is supported by the Observatoire des Sciences de l'Univers de Grenoble (OSUG),Creative Commons Attribution 4.0 International,Data access and use are ruled by the EMAA data policy.",45 rotation energy levels / 126 radiative transitions / 990 collisional transitions for H (14 temperatures in the range 5-1500K) / 91 collisional transitions for electron (9 temperatures in the range 10-500K),mds,True,findable,0,0,0,0,0,2022-02-07T11:26:02.000Z,2022-02-07T11:26:03.000Z,inist.osug,jbru,"target para-H2O,excitationType Rotation,collisional excitation,collider.0 H,collider.1 electron,astrophysics,interstellar medium,comets,circumstellar medium,gas,microwave spectroscopy,infrared spectroscopy,rotational excitation,rovibrational excitation,vibrational excitation,electronic excitation,collisional rate coefficients,fine structure,hyperfine structure","[{'subject': 'target para-H2O', 'subjectScheme': 'main'}, {'subject': 'excitationType Rotation', 'subjectScheme': 'main'}, {'subject': 'collisional excitation', 'subjectScheme': 'main'}, {'subject': 'collider.0 H', 'subjectScheme': 'var'}, {'subject': 'collider.1 electron', 'subjectScheme': 'var'}, {'subject': 'astrophysics', 'subjectScheme': 'var'}, {'subject': 'interstellar medium', 'subjectScheme': 'var'}, {'subject': 'comets', 'subjectScheme': 'var'}, {'subject': 'circumstellar medium', 'subjectScheme': 'var'}, {'subject': 'gas', 'subjectScheme': 'var'}, {'subject': 'microwave spectroscopy', 'subjectScheme': 'var'}, {'subject': 'infrared spectroscopy', 'subjectScheme': 'var'}, {'subject': 'rotational excitation', 'subjectScheme': 'var'}, {'subject': 'rovibrational excitation', 'subjectScheme': 'var'}, {'subject': 'vibrational excitation', 'subjectScheme': 'var'}, {'subject': 'electronic excitation', 'subjectScheme': 'var'}, {'subject': 'collisional rate coefficients', 'subjectScheme': 'var'}, {'subject': 'fine structure', 'subjectScheme': 'var'}, {'subject': 'hyperfine structure', 'subjectScheme': 'var'}]",,['Radex']
+10.17178/draixbleone_gal_rob_sedpsd_0809,Particle size distributions of suspended sediments of the river Galabre at the Robine station of the Galabre watershed,IGE - CNRS - OSUG,2020,en,Dataset,"Always quote below citation to Grangeon et al. (2012) when using these data. Grangeon T., Legout C., Esteves M., Gratiot N., Navratil O. (2012). Variability of suspended particles size during highly concentrated flood events in a small mountainous catchment. Journal of Soils and Sediments. 12(10): 1549-1558.,Creative Commons Attribution 4.0 International,The following acknowledging sentence should appear in publications using data and products from the Galabre watershed of the Draix Bleone Observatory: ""DRAIX BLEONE is funded by the Institut National des Sciences de l’Univers (INSU/CNRS) and the Observatoire des Sciences de l’Univers de Grenoble (OSUG / Université Grenoble Alpes)â€.,Always quote below citation to Legout et al. (submitted) when using these data. Legout C., Freche G., Biron R., Esteves M., Nord G, Navratil O., Uber M., Grangeon T., Hachgenei N., Boudevillain B. Voiron C., Spadini L. A critical zone observatory dedicated to suspended sediment transport: the meso-scale Galabre catchment (southern French Alps), submitted to Hydrological Processes.",This particle size distribution of suspended sediments data set is part of the DRAIXBLEONE_GAL observatory.,mds,True,findable,0,0,0,0,0,2020-09-15T15:58:47.000Z,2020-09-15T15:58:48.000Z,inist.osug,jbru,"Mediterranean mountainous climate,Surface water,Sediments,Water quality / Water chemistry","[{'subject': 'Mediterranean mountainous climate', 'subjectScheme': 'main'}, {'subject': 'Surface water', 'subjectScheme': 'var'}, {'subject': 'Sediments', 'subjectScheme': 'var'}, {'subject': 'Water quality / Water chemistry', 'subjectScheme': 'var'}]",,['CSV']
+10.5281/zenodo.6400739,InLang: task-related language connectomes,Zenodo,2022,,Dataset,Closed Access,.,mds,True,findable,0,0,0,0,0,2022-03-31T15:23:33.000Z,2022-03-31T15:23:33.000Z,cern.zenodo,cern,"fMRI,Language,Connectome","[{'subject': 'fMRI'}, {'subject': 'Language'}, {'subject': 'Connectome'}]",,
+10.17178/zaa_soil_temp.floresentinelle,Long term monitoring of near surface soil temperature on sereval species and habitats in the French Alps,UGA – OSUG – Flore Sentinnel network,2021,en,Dataset,"Creative Commons Attribution 4.0 International,For any publication using ZAA data, depending on the contribution of the data to the scientific results obtained, data users should either propose co-authorship to the data providers (doi Project leaders) or at least acknowledge their contribution.
+The acknowledging sentence which should appear in publications using ZAA temp-soil data and products is in the readme file joint with the dataset",Monitoring of near-surface soil temperature in mountain ecosystems located in the French Alps. Data are part of several projects and monitoring programs examining the impact of climate and climate change on snow beds vegetation and Trifolium saxatile,mds,True,findable,0,0,0,0,0,2021-07-13T13:43:35.000Z,2021-07-13T13:43:36.000Z,inist.osug,jbru,"microclimate,mountain climate,long-term monitoring,soil,root zone,cold zone ecosystem,soil temperature","[{'subject': 'microclimate', 'subjectScheme': 'main'}, {'subject': 'mountain climate', 'subjectScheme': 'main'}, {'subject': 'long-term monitoring', 'subjectScheme': 'main'}, {'subject': 'soil', 'subjectScheme': 'main'}, {'subject': 'root zone', 'subjectScheme': 'main'}, {'subject': 'cold zone ecosystem', 'subjectScheme': 'main'}, {'subject': 'soil temperature', 'subjectScheme': 'var'}]",,['CSV']
+10.17178/emaa_ortho-c3h2_rotation_caf26a12,Rotation excitation of ortho-c-C3H2 by He and para-H2 collisions,"UGA, CNRS, CNRS-INSU, OSUG",2023,en,Dataset,"Please acknowledge the use of EMAA Database by citing the original articles in which the data were published (BibTeX format available), and adding the following sentence in your publication:
+This research has made use of spectroscopic and collisional data from the EMAA database (https://emaa.osug.fr). EMAA is supported by the Observatoire des Sciences de l'Univers de Grenoble (OSUG),Creative Commons Attribution 4.0 International,Data access and use are ruled by the EMAA data policy.",50 rotation energy levels / 122 radiative transitions / 1225 collisional transitions for para-H2 (9 temperatures in the range 5-120K) / 1225 collisional transitions for He (9 temperatures in the range 5-120K),mds,True,findable,0,0,0,0,0,2023-12-07T15:51:37.000Z,2023-12-07T15:51:37.000Z,inist.osug,jbru,"target ortho-c-C3H2,excitationType Rotation,collisional excitation,collider.0 para-H2,collider.1 He,astrophysics,interstellar medium,comets,circumstellar medium,gas,microwave spectroscopy,infrared spectroscopy,rotational excitation,rovibrational excitation,vibrational excitation,electronic excitation,collisional rate coefficients,fine structure,hyperfine structure","[{'subject': 'target ortho-c-C3H2', 'subjectScheme': 'main'}, {'subject': 'excitationType Rotation', 'subjectScheme': 'main'}, {'subject': 'collisional excitation', 'subjectScheme': 'main'}, {'subject': 'collider.0 para-H2', 'subjectScheme': 'var'}, {'subject': 'collider.1 He', 'subjectScheme': 'var'}, {'subject': 'astrophysics', 'subjectScheme': 'var'}, {'subject': 'interstellar medium', 'subjectScheme': 'var'}, {'subject': 'comets', 'subjectScheme': 'var'}, {'subject': 'circumstellar medium', 'subjectScheme': 'var'}, {'subject': 'gas', 'subjectScheme': 'var'}, {'subject': 'microwave spectroscopy', 'subjectScheme': 'var'}, {'subject': 'infrared spectroscopy', 'subjectScheme': 'var'}, {'subject': 'rotational excitation', 'subjectScheme': 'var'}, {'subject': 'rovibrational excitation', 'subjectScheme': 'var'}, {'subject': 'vibrational excitation', 'subjectScheme': 'var'}, {'subject': 'electronic excitation', 'subjectScheme': 'var'}, {'subject': 'collisional rate coefficients', 'subjectScheme': 'var'}, {'subject': 'fine structure', 'subjectScheme': 'var'}, {'subject': 'hyperfine structure', 'subjectScheme': 'var'}]",,['Radex']
+10.17178/emaa_(13c)(17o)_hyperfine_164ecb70,Hyperfine excitation of [13C][17O] by ortho-H2 and para-H2 collisions,"UGA, CNRS, CNRS-INSU, OSUG",2023,en,Dataset,"Please acknowledge the use of EMAA Database by citing the original articles in which the data were published (BibTeX format available), and adding the following sentence in your publication:
+This research has made use of spectroscopic and collisional data from the EMAA database (https://emaa.osug.fr). EMAA is supported by the Observatoire des Sciences de l'Univers de Grenoble (OSUG),Creative Commons Attribution 4.0 International,Data access and use are ruled by the EMAA data policy.",75 hyperfine energy levels / 176 radiative transitions / 2775 collisional transitions for para-H2 (11 temperatures in the range 5-400K) / 2775 collisional transitions for ortho-H2 (11 temperatures in the range 5-400K),mds,True,findable,0,0,0,0,0,2023-12-07T15:50:19.000Z,2023-12-07T15:50:20.000Z,inist.osug,jbru,"target [13C][17O],excitationType Hyperfine,collisional excitation,collider.0 para-H2,collider.1 ortho-H2,astrophysics,interstellar medium,comets,circumstellar medium,gas,microwave spectroscopy,infrared spectroscopy,rotational excitation,rovibrational excitation,vibrational excitation,electronic excitation,collisional rate coefficients,fine structure,hyperfine structure","[{'subject': 'target [13C][17O]', 'subjectScheme': 'main'}, {'subject': 'excitationType Hyperfine', 'subjectScheme': 'main'}, {'subject': 'collisional excitation', 'subjectScheme': 'main'}, {'subject': 'collider.0 para-H2', 'subjectScheme': 'var'}, {'subject': 'collider.1 ortho-H2', 'subjectScheme': 'var'}, {'subject': 'astrophysics', 'subjectScheme': 'var'}, {'subject': 'interstellar medium', 'subjectScheme': 'var'}, {'subject': 'comets', 'subjectScheme': 'var'}, {'subject': 'circumstellar medium', 'subjectScheme': 'var'}, {'subject': 'gas', 'subjectScheme': 'var'}, {'subject': 'microwave spectroscopy', 'subjectScheme': 'var'}, {'subject': 'infrared spectroscopy', 'subjectScheme': 'var'}, {'subject': 'rotational excitation', 'subjectScheme': 'var'}, {'subject': 'rovibrational excitation', 'subjectScheme': 'var'}, {'subject': 'vibrational excitation', 'subjectScheme': 'var'}, {'subject': 'electronic excitation', 'subjectScheme': 'var'}, {'subject': 'collisional rate coefficients', 'subjectScheme': 'var'}, {'subject': 'fine structure', 'subjectScheme': 'var'}, {'subject': 'hyperfine structure', 'subjectScheme': 'var'}]",,['Radex']
+10.17178/amma-catch.ae.h2oflux_odc,"Surface flux dataset (including meteorological data, radiative budget, surface energy, water vapor and carbon fluxes), within the Donga watershed (600 km2), Benin","IRD, CNRS-INSU, OSUG, OMP, OREME",2005,en,Dataset,"Creative Commons Attribution 4.0 International,Data access and use are ruled by the AMMA-CATCH data policy.,For any publication using AMMA-CATCH data, authors are asked to:
Mandatory: cite the reference article and the DOI of the observatory
@@ -3531,10 +2923,21 @@ Mandatory: cite the reference article and the DOI of the observatory
Optional: cite the DOI of each dataset used.
-Co-authorship: depending on the contribution of the data to the scientific results obtained, the authors should either propose co-authorship to the data providers or at least acknowledge their contribution.",Monitor the water height level in the Agoufou pond in order to assess the volume of water stored and lost using specific calibration relation based on topographic survey and remote sensing data analysis. Monitor the pond turbidity.,mds,True,findable,0,0,1,0,0,2018-03-16T15:37:10.000Z,2018-03-16T15:37:10.000Z,inist.osug,jbru,"Water level, pond, water balance, turbidity, sediment load,Sahelian/Saharan climate,Water Level,Turbidity,Surface Suspended Sediment Concentration","[{'subject': 'Water level, pond, water balance, turbidity, sediment load', 'subjectScheme': 'main'}, {'subject': 'Sahelian/Saharan climate', 'subjectScheme': 'main'}, {'subject': 'Water Level', 'subjectScheme': 'var'}, {'subject': 'Turbidity', 'subjectScheme': 'var'}, {'subject': 'Surface Suspended Sediment Concentration', 'subjectScheme': 'var'}]",,"['CSV', 'NETCDF', 'O&M 1.0']"
-10.17178/emaa_ortho-h2co_hyperfine_4628f093,Hyperfine excitation of ortho-H2CO by para-H2 collisions,"UGA, CNRS, CNRS-INSU, OSUG",2019,en,Dataset,"Please acknowledge the use of EMAA Database by citing the original articles in which the data were published (BibTeX format available), and adding the following sentence in your publication:
-This research has made use of spectroscopic and collisional data from the EMAA database (https://emaa.osug.fr). EMAA is supported by the Observatoire des Sciences de l'Univers de Grenoble (OSUG),Creative Commons Attribution 4.0 International,Data access and use are ruled by the EMAA data policy.",27 hyperfine energy levels / 69 radiative transitions / 324 collisional transitions for para-H2 (10 temperatures in the range 10-100K),mds,True,findable,0,0,0,0,0,2021-11-17T14:01:31.000Z,2021-11-17T14:01:32.000Z,inist.osug,jbru,"target ortho-H2CO,excitationType Hyperfine,collisional excitation,collider.0 para-H2,astrophysics,interstellar medium,comets,circumstellar medium,gas,microwave spectroscopy,infrared spectroscopy,rotational excitation,rovibrational excitation,vibrational excitation,electronic excitation,collisional rate coefficients,fine structure,hyperfine structure","[{'subject': 'target ortho-H2CO', 'subjectScheme': 'main'}, {'subject': 'excitationType Hyperfine', 'subjectScheme': 'main'}, {'subject': 'collisional excitation', 'subjectScheme': 'main'}, {'subject': 'collider.0 para-H2', 'subjectScheme': 'var'}, {'subject': 'astrophysics', 'subjectScheme': 'var'}, {'subject': 'interstellar medium', 'subjectScheme': 'var'}, {'subject': 'comets', 'subjectScheme': 'var'}, {'subject': 'circumstellar medium', 'subjectScheme': 'var'}, {'subject': 'gas', 'subjectScheme': 'var'}, {'subject': 'microwave spectroscopy', 'subjectScheme': 'var'}, {'subject': 'infrared spectroscopy', 'subjectScheme': 'var'}, {'subject': 'rotational excitation', 'subjectScheme': 'var'}, {'subject': 'rovibrational excitation', 'subjectScheme': 'var'}, {'subject': 'vibrational excitation', 'subjectScheme': 'var'}, {'subject': 'electronic excitation', 'subjectScheme': 'var'}, {'subject': 'collisional rate coefficients', 'subjectScheme': 'var'}, {'subject': 'fine structure', 'subjectScheme': 'var'}, {'subject': 'hyperfine structure', 'subjectScheme': 'var'}]",,['Radex']
-10.17178/amma-catch.pa.met_snns,"Meteorological dataset (including radiative budget), in the Niakhar site (Faidherbia-Flux station), Senegal","IRD, CNRS-INSU, OSUG, OMP, OREME",2018,en,Dataset,"Creative Commons Attribution 4.0 International,Data access and use are ruled by the AMMA-CATCH data policy.,For any publication using AMMA-CATCH data, authors are asked to:
+Co-authorship: depending on the contribution of the data to the scientific results obtained, the authors should either propose co-authorship to the data providers or at least acknowledge their contribution.",Measure components of the local-scale energy budget. Obtain forcing and validation data for modeling of soil-vegetation-atmosphere exchanges in Sudanian climate. Contribute to the flux station network over the AMMA regional transect.,mds,True,findable,0,0,1,0,0,2018-03-16T15:36:52.000Z,2018-03-16T15:36:52.000Z,inist.osug,jbru,"Land surface exchange, water budget, energy budget, Sudanian vegetation, evapo-transpiration, Sudanian hydrology,Sudanian climate,Wind Speed,Net Radiation at height 18 m,Incoming Shortwave Radiation at height 18 m,Relative Humidity at height 18 m,Outgoing Shortwave Radiation at height 18 m,Soil Temperature at depth 10 cm (loc. c),Wind Direction at height 18 m,Air Pressure,Wind Direction at height 5 m,Sensible Heat Flux,Air Pressure at height 5 m,Ventilated Relative Humidity,Soil Temperature at depth 10 cm (loc. a),Relative Humidity,Standard Deviation of Wind Direction at height 18 m,Standard Deviation of Wind Direction at height 15 m,Incoming Shortwave Radiation at height 5 m,Outgoing Shortwave Radiation at height 5 m,Air Temperature at height 5 m,Net Radiation at height 5 m,Ventilated Air Temperature,Air Temperature at height 15 m,Outgoing Longwave Radiation,Wind Speed at height 15 m,Relative Humidity at height 15 m,Standard Deviation of Wind Direction at height 5 m,Incoming Longwave Radiation at height 18 m,Incoming Shortwave Radiation,Carbon Dioxide Mean Concentration,Soil Moisture/Water Content at depth 10 cm (loc. a),Relative Humidity at height 5 m,Carbon Dioxide Mean Concentration at height 18 m,Soil Temperature at depth 20 cm (loc. b),Soil Temperature at depth 50 cm (loc. a),Wind Direction at height 15 m,Wind Direction,Wind Speed at height 5 m,Ventilated Relative Humidity at height 5 m,Soil Moisture/Water Content integrated from 0 to -30 cm (loc. c),Outgoing Longwave Radiation at height 18 m,Soil Temperature at depth 40 cm (loc. b),Latent Heat Flux,Wind Speed at height 18 m,Air Temperature,Soil Temperature at depth 40 cm (loc. c),Standard Deviation of Wind Direction,Soil Temperature at depth 20 cm (loc. c),Soil Moisture/Water Content at depth 50 cm (loc. a),Soil Temperature at depth 10 cm (loc. b),Outgoing Shortwave Radiation,Ventilated Air Temperature at height 5 m,Soil Moisture/Water Content integrated from 0 to -30 cm (loc. b),Air Temperature at height 18 m,Net Radiation,Incoming Longwave Radiation","[{'subject': 'Land surface exchange, water budget, energy budget, Sudanian vegetation, evapo-transpiration, Sudanian hydrology', 'subjectScheme': 'main'}, {'subject': 'Sudanian climate', 'subjectScheme': 'main'}, {'subject': 'Wind Speed', 'subjectScheme': 'var'}, {'subject': 'Net Radiation at height 18 m', 'subjectScheme': 'var'}, {'subject': 'Incoming Shortwave Radiation at height 18 m', 'subjectScheme': 'var'}, {'subject': 'Relative Humidity at height 18 m', 'subjectScheme': 'var'}, {'subject': 'Outgoing Shortwave Radiation at height 18 m', 'subjectScheme': 'var'}, {'subject': 'Soil Temperature at depth 10 cm (loc. c)', 'subjectScheme': 'var'}, {'subject': 'Wind Direction at height 18 m', 'subjectScheme': 'var'}, {'subject': 'Air Pressure', 'subjectScheme': 'var'}, {'subject': 'Wind Direction at height 5 m', 'subjectScheme': 'var'}, {'subject': 'Sensible Heat Flux', 'subjectScheme': 'var'}, {'subject': 'Air Pressure at height 5 m', 'subjectScheme': 'var'}, {'subject': 'Ventilated Relative Humidity', 'subjectScheme': 'var'}, {'subject': 'Soil Temperature at depth 10 cm (loc. a)', 'subjectScheme': 'var'}, {'subject': 'Relative Humidity', 'subjectScheme': 'var'}, {'subject': 'Standard Deviation of Wind Direction at height 18 m', 'subjectScheme': 'var'}, {'subject': 'Standard Deviation of Wind Direction at height 15 m', 'subjectScheme': 'var'}, {'subject': 'Incoming Shortwave Radiation at height 5 m', 'subjectScheme': 'var'}, {'subject': 'Outgoing Shortwave Radiation at height 5 m', 'subjectScheme': 'var'}, {'subject': 'Air Temperature at height 5 m', 'subjectScheme': 'var'}, {'subject': 'Net Radiation at height 5 m', 'subjectScheme': 'var'}, {'subject': 'Ventilated Air Temperature', 'subjectScheme': 'var'}, {'subject': 'Air Temperature at height 15 m', 'subjectScheme': 'var'}, {'subject': 'Outgoing Longwave Radiation', 'subjectScheme': 'var'}, {'subject': 'Wind Speed at height 15 m', 'subjectScheme': 'var'}, {'subject': 'Relative Humidity at height 15 m', 'subjectScheme': 'var'}, {'subject': 'Standard Deviation of Wind Direction at height 5 m', 'subjectScheme': 'var'}, {'subject': 'Incoming Longwave Radiation at height 18 m', 'subjectScheme': 'var'}, {'subject': 'Incoming Shortwave Radiation', 'subjectScheme': 'var'}, {'subject': 'Carbon Dioxide Mean Concentration', 'subjectScheme': 'var'}, {'subject': 'Soil Moisture/Water Content at depth 10 cm (loc. a)', 'subjectScheme': 'var'}, {'subject': 'Relative Humidity at height 5 m', 'subjectScheme': 'var'}, {'subject': 'Carbon Dioxide Mean Concentration at height 18 m', 'subjectScheme': 'var'}, {'subject': 'Soil Temperature at depth 20 cm (loc. b)', 'subjectScheme': 'var'}, {'subject': 'Soil Temperature at depth 50 cm (loc. a)', 'subjectScheme': 'var'}, {'subject': 'Wind Direction at height 15 m', 'subjectScheme': 'var'}, {'subject': 'Wind Direction', 'subjectScheme': 'var'}, {'subject': 'Wind Speed at height 5 m', 'subjectScheme': 'var'}, {'subject': 'Ventilated Relative Humidity at height 5 m', 'subjectScheme': 'var'}, {'subject': 'Soil Moisture/Water Content integrated from 0 to -30 cm (loc. c)', 'subjectScheme': 'var'}, {'subject': 'Outgoing Longwave Radiation at height 18 m', 'subjectScheme': 'var'}, {'subject': 'Soil Temperature at depth 40 cm (loc. b)', 'subjectScheme': 'var'}, {'subject': 'Latent Heat Flux', 'subjectScheme': 'var'}, {'subject': 'Wind Speed at height 18 m', 'subjectScheme': 'var'}, {'subject': 'Air Temperature', 'subjectScheme': 'var'}, {'subject': 'Soil Temperature at depth 40 cm (loc. c)', 'subjectScheme': 'var'}, {'subject': 'Standard Deviation of Wind Direction', 'subjectScheme': 'var'}, {'subject': 'Soil Temperature at depth 20 cm (loc. c)', 'subjectScheme': 'var'}, {'subject': 'Soil Moisture/Water Content at depth 50 cm (loc. a)', 'subjectScheme': 'var'}, {'subject': 'Soil Temperature at depth 10 cm (loc. b)', 'subjectScheme': 'var'}, {'subject': 'Outgoing Shortwave Radiation', 'subjectScheme': 'var'}, {'subject': 'Ventilated Air Temperature at height 5 m', 'subjectScheme': 'var'}, {'subject': 'Soil Moisture/Water Content integrated from 0 to -30 cm (loc. b)', 'subjectScheme': 'var'}, {'subject': 'Air Temperature at height 18 m', 'subjectScheme': 'var'}, {'subject': 'Net Radiation', 'subjectScheme': 'var'}, {'subject': 'Incoming Longwave Radiation', 'subjectScheme': 'var'}]",,"['CSV', 'NETCDF', 'O&M 1.0']"
+10.5281/zenodo.6380887,"Data from: Protein Conformational Space at the Edge of Allostery: Turning a Non-allosteric Malate Dehydrogenase into an ""Allosterized"" Enzyme using Evolution Guided Punctual Mutations",Zenodo,2022,,Dataset,"Creative Commons Attribution 4.0 International,Open Access","This data accompanies the paper entitled <em>Protein Conformational Space at the Edge of Allostery: Turning a Non-allosteric Malate Dehydrogenase into an “Allosterized†Enzyme using Evolution Guided Punctual Mutations</em> The zip archive contains the results of molecular dynamics simulations of the 4 systems investigated in the paper: wt of A. ful MalDH and three mutants. Each system has been simulated at two temperatures, 300 K and 340 K. Starting configurations of the proteins after equilibration are provided for all the systems in GRO Gromos87 format. Trajectories with the positions of the proteins every 100 ps are provided for all the systems in XTC gromacs format.",mds,True,findable,0,0,0,0,0,2022-03-24T10:53:28.000Z,2022-03-24T10:53:28.000Z,cern.zenodo,cern,,,,
+10.48537/hal-03220298,"The Formation of the Technological Sensitivity, Gaining a New Perspective on Existing Objects",Reseau International Ambiances,2020,en,Text,Creative Commons Attribution Non Commercial No Derivatives 2.0 Generic,"This article aims to clarify how recent transformations in the field of archi- tecture, chiefly the availability of new digital design tools, have introduced new ways of approaching projects. It will delve into the philosopher of science Gaston Bachelard’s thought and the notion of phenomenotechnique in order to explore the off-centre position of the architect. Mastering these tools has inculcated in architects a ‘technological sensibility’. The formation of this sensibility has expanded architects’ vision beyond the potential of the technologies themselves to finding new perspectives on more traditional architectural considerations.",mds,True,findable,0,0,0,0,0,2021-06-17T10:17:07.000Z,2021-06-17T10:17:07.000Z,jbru.aau,jbru,"Digital Architecture,Technological Sensibility,Phenomenotechnique","[{'lang': 'eng', 'subject': 'Digital Architecture'}, {'lang': 'eng', 'subject': 'Technological Sensibility'}, {'lang': 'eng', 'subject': 'Phenomenotechnique'}]",['5 pages'],['application/pdf']
+10.6084/m9.figshare.22649273,Additional file 1 of Predictors of changing patterns of adherence to containment measures during the early stage of COVID-19 pandemic: an international longitudinal study,figshare,2023,,Text,Creative Commons Attribution 4.0 International,Additional file 1: Supplementary Table 1. Measures used in the COVID-IMPACT study.,mds,True,findable,0,0,0,0,0,2023-04-18T04:38:30.000Z,2023-04-18T04:38:30.000Z,figshare.ars,otjm,"Medicine,Biotechnology,Sociology,FOS: Sociology,69999 Biological Sciences not elsewhere classified,FOS: Biological sciences,Science Policy,110309 Infectious Diseases,FOS: Health sciences","[{'subject': 'Medicine'}, {'subject': 'Biotechnology'}, {'subject': 'Sociology'}, {'subject': 'FOS: Sociology', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': '69999 Biological Sciences not elsewhere classified', 'schemeUri': 'http://www.abs.gov.au/ausstats/abs@.nsf/0/6BB427AB9696C225CA2574180004463E', 'subjectScheme': 'FOR'}, {'subject': 'FOS: Biological sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Science Policy'}, {'subject': '110309 Infectious Diseases', 'schemeUri': 'http://www.abs.gov.au/ausstats/abs@.nsf/0/6BB427AB9696C225CA2574180004463E', 'subjectScheme': 'FOR'}, {'subject': 'FOS: Health sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}]",['25409 Bytes'],
+10.5281/zenodo.5913708,Supplementary data for the publication of Characterization of Emissions in Fab Labs: an Additive Manu-facturing Environment Issue,Zenodo,2022,,Dataset,"Creative Commons Attribution 4.0 International,Open Access","Datasets for the publication of the article ""Characterization of Emissions in Fab Labs: an Additive Manufacturing Environment Issue"": - Ultrafine Particles: UFP per Zone and mode; - VOC emissions: VOC per Zone and mode.",mds,True,findable,0,0,0,0,0,2022-01-28T13:07:09.000Z,2022-01-28T13:07:10.000Z,cern.zenodo,cern,,,,
+10.18709/perscido.2018.10.ds133,Micro-seismic-monitoring of a floating ice plate to monitor its deformation: Catalog,PerSciDo,2018,en,Dataset,Creative Commons Attribution Non Commercial Share Alike 4.0 International,This dataset corresponds to the detected fractures characteristics related to the microseismic monitoring of a floating ice plate.,fabrica,True,findable,0,0,0,0,0,2018-12-06T13:54:50.000Z,2018-12-06T13:54:51.000Z,inist.persyval,vcob,"Glaciology,Materials Science,Geology,FOS: Earth and related environmental sciences,FOS: Earth and related environmental sciences,Physics","[{'lang': 'en', 'subject': 'Glaciology'}, {'lang': 'en', 'subject': 'Materials Science'}, {'lang': 'en', 'subject': 'Geology'}, {'subject': 'FOS: Earth and related environmental sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'FOS: Earth and related environmental sciences', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'lang': 'en', 'subject': 'Physics'}]",['10 MB'],['txt']
+10.5281/zenodo.5500364,Data and scripts from: A new westward migration route in an Asian passerine bird,Zenodo,2021,,Dataset,"Creative Commons Attribution 4.0 International,Open Access","Contains relevant datasets and code for niche modeling analyses performed in ""A new westward migration route in an Asian passerine bird"" by Dufour P<sup>*</sup>, de Franceschi<sup> </sup>C, Doniol-Valcroze P, Jiguet F, Maya Guéguen M, Renaud J, Lavergne<sup>†</sup>S, Crochet<sup>†</sup> PA (<sup>†</sup>co-senior authors)",mds,True,findable,0,0,0,0,0,2021-10-22T15:02:48.000Z,2021-10-22T15:02:49.000Z,cern.zenodo,cern,,,,
+10.34745/numerev_1937,La norme et la variation dans le cadre du Traitement Automatique du Langage,"CJC-Praxiling, (actes n°2022)",2023,fr,JournalArticle,Creative Commons Attribution Non Commercial No Derivatives 4.0 International,"Résumé : Cet article pose la problématique du statut de la norme et de la variation en TAL en proposant des exemples tirés des recherches précédentes concernant des modèles informatiques employés pour représenter l’acquisition de langue française. Deux cas d’étude exemplifient le choix autour de l’axe norme-variation : le calcul automatique d’une distribution de fréquence et la reconnaissance de motifs séquentiels. Que le niveau d’analyse soit le mot (premier exemple) ou le phonème (deuxième exemple), des obstacles et compromis reviennent d’une manière analogue. Le choix – souvent difficile et contraint - entre la précision de la description du langage et la nécessité d’avoir des données uniformes pour que la machine puisse les traiter aisément. Les biais évitables et inévitables, les précautions à prendre en amont, ainsi que les avantages et les inconvénients de ce type de modèles seront discutés. L’article se termine en dessinant les contours des futures complémentarités possibles entre méthodes qualitatives et quantitatives.
+
+Abstract : This article deals with the problem of the status of norm and variation in NLP by proposing examples drawn from previous research concerning computer models used to represent French language acquisition. Two case studies illustrate the choice around the norm-variation axis: the automatic computation of a frequency distribution and the recognition of sequential patterns in words containing specific syllable sequences that are hard to learn due to their inner phonetic difficulty. Whether the level of analysis is the word (first example) or the phoneme (second example), obstacles and trade-offs come up in a similar way. The choice - often difficult and constrained - between the accuracy of the language description and the need to have uniform data for the machine to be easily handled. The avoidable and unavoidable biases, the precautions to be taken beforehand, as well as the advantages and disadvantages of these types of NLP models will be discussed. The article ends by outlining the possible future complementarities between qualitative and quantitative methods in current linguistics.
+
+Keywords : first language acquisition; NLP, French; variation; norm
+",api,True,findable,0,0,0,0,0,2023-11-29T08:55:52.000Z,2023-11-29T08:56:00.000Z,inist.mshsud,jbru,"variation,TAL,Acquisition du langage,français L1,norme","[{'subject': 'variation'}, {'subject': 'TAL'}, {'subject': 'Acquisition du langage'}, {'subject': 'français L1'}, {'subject': 'norme'}]",,
+10.48537/hal-03220348,The Tangible Presence of Human Labor in Architecture,Reseau International Ambiances,2020,en,Text,Creative Commons Attribution Non Commercial No Derivatives 2.0 Generic,"This essay aims to show that in many of the theories that fundament material culture and architectural experience, labor is implied in the constitution of material and, although seldom directly addressed, it is a determining dimension of materiality. From the Vitruvian and Renaissance treatises and Gottfried Semper to John Ruskin and the Art and Crafts Movement, the underlying presence of labor can be seen intertwined with materials whenever they are called into architectural discussion as sensorial arguments. Just like the physical qualities of materials, labor, skills and techniques are imprinted in the built environment and contribute to the creation of particular atmospheres.",mds,True,findable,0,0,0,0,0,2021-06-17T20:55:03.000Z,2021-06-17T20:55:05.000Z,jbru.aau,jbru,"Architectural Experience,Sensuous Perception,Material Culture,Labor","[{'lang': 'eng', 'subject': 'Architectural Experience'}, {'lang': 'eng', 'subject': 'Sensuous Perception'}, {'lang': 'eng', 'subject': 'Material Culture'}, {'lang': 'eng', 'subject': 'Labor'}]",['6 pages'],['application/pdf']
+10.17178/amma-catch.ce.sw_nc,"Soil dataset (soil moisture and temperature profiles), within the Fakara site (2 000 km2), Niger","IRD, CNRS-INSU, OSUG, OMP, OREME",2004,en,Dataset,"Creative Commons Attribution 4.0 International,Data access and use are ruled by the AMMA-CATCH data policy.,For any publication using AMMA-CATCH data, authors are asked to:
Mandatory: cite the reference article and the DOI of the observatory
@@ -3543,13 +2946,38 @@ Mandatory: cite the reference article and the DOI of the observatory
Optional: cite the DOI of each dataset used.
-Co-authorship: depending on the contribution of the data to the scientific results obtained, the authors should either propose co-authorship to the data providers or at least acknowledge their contribution.",Document atmospheric forcing. Contribute to the Faidherbia-Flux flux station.,mds,True,findable,0,0,1,0,0,2022-12-09T16:47:54.000Z,2022-12-09T16:47:54.000Z,inist.osug,jbru,"Meteorology, radiative budget,Sahelian climate,Relative Humidity at height 2 m,Air Temperature at height 20 m,Wind Direction at height 20 m,Net Radiation at height 20 m,Wind Speed at height 4.5 m,Total Photosynthetically Active Radiation at height 20 m,Wind Speed at height 20 m,Air Pressure at height 20 m,Air Temperature at height 2 m,Precipitation Amount,Relative Humidity at height 20 m","[{'subject': 'Meteorology, radiative budget', 'subjectScheme': 'main'}, {'subject': 'Sahelian climate', 'subjectScheme': 'main'}, {'subject': 'Relative Humidity at height 2 m', 'subjectScheme': 'var'}, {'subject': 'Air Temperature at height 20 m', 'subjectScheme': 'var'}, {'subject': 'Wind Direction at height 20 m', 'subjectScheme': 'var'}, {'subject': 'Net Radiation at height 20 m', 'subjectScheme': 'var'}, {'subject': 'Wind Speed at height 4.5 m', 'subjectScheme': 'var'}, {'subject': 'Total Photosynthetically Active Radiation at height 20 m', 'subjectScheme': 'var'}, {'subject': 'Wind Speed at height 20 m', 'subjectScheme': 'var'}, {'subject': 'Air Pressure at height 20 m', 'subjectScheme': 'var'}, {'subject': 'Air Temperature at height 2 m', 'subjectScheme': 'var'}, {'subject': 'Precipitation Amount', 'subjectScheme': 'var'}, {'subject': 'Relative Humidity at height 20 m', 'subjectScheme': 'var'}]",,"['CSV', 'NETCDF', 'O&M 1.0']"
-10.17178/ohmcv.dsd.pvi.12-16.1,"DSD network, Pradel-Vignes",CNRS - OSUG - OREME,2009,en,Dataset,"Data access and use are ruled by the OHMCV data policy.,The following acknowledging sentence should appear in publications using OHMCV data and products: ""OHMCV is funded by the Institut National des Sciences de l’Univers (INSU/CNRS) and the Observatoire des Sciences de l’Univers de Grenoble (OSUG / Université Grenoble Alpes)â€.",This dataset is part of the Cevennesâ€Vivarais Mediterranean Hydrometeorological Observatory (OHMCV),mds,True,findable,0,0,2,0,0,2017-10-17T13:24:17.000Z,2017-10-17T13:24:18.000Z,inist.osug,jbru,"Atmospheric conditions,Precipitation Rate,Droplet Size,DISDROMETERS,Ground networks,Hydrometeorological sites,Fixed Observation Stations","[{'subject': 'Atmospheric conditions', 'subjectScheme': 'main'}, {'subject': 'Precipitation Rate', 'subjectScheme': 'main'}, {'subject': 'Droplet Size', 'subjectScheme': 'main'}, {'subject': 'DISDROMETERS', 'subjectScheme': 'main'}, {'subject': 'Ground networks', 'subjectScheme': 'main'}, {'subject': 'Hydrometeorological sites', 'subjectScheme': 'main'}, {'subject': 'Fixed Observation Stations', 'subjectScheme': 'main'}]",,['NETCDF']
-10.17178/cryobsclim.clb.bso,"Col du Lac Blanc, Hourly blowing snow occurrence",CNRS - OSUG - Meteo France - Irstea,2000,,Dataset,"Data access and use are ruled by the CRYOBS-CLIM data policy.,Always quote below citation to Guyomarch et al. (2019) when using data.
-G. Guyomarc'h, H. bellot, V. Vionnet, F. Naaim-Bouvet, Y. Deliot, F. Fontaine, P. Pugliese, M. Naaim, K. Nishimura, A meteorological and blowing snow data set (2000-2016) from a high altitude alpine site (Col du Lac Blanc, France, 2720 m a.s.l), Earth System Science Data, 11(2019), 57-69, https://doi.org/10.5194/essd-11-57-2019. The following acknowledging sentence should appear in publications using Cryobs-Clim-CLB data and products: ""Cryobs-Clim Col du Lac Blanc is funded by Meteo France, Irstea, the Institut National des Sciences de l’Univers (INSU/CNRS), and the Observatoire des Sciences de l’Univers de Grenoble (OSUG / Université Grenoble Alpes)â€. You are invited to contact the PI(s) or lead scientist for more information about the data and to include the acknowledgement sentence in any publication using the data.","This dataset is part of the Cryobs-Clim-CLB (CRYosphere, an OBServatory of the CLIMate – Col du Lac Blanc) observatory",mds,True,findable,0,0,1,0,0,2018-04-09T10:16:34.000Z,2018-04-09T10:16:35.000Z,inist.osug,jbru,Blowing snow occurrence,"[{'subject': 'Blowing snow occurrence', 'subjectScheme': 'main'}]",,['CSV']
-10.17178/emaa_co_rotation_e6542418,"Rotation excitation of CO by ortho-H2O, para-H2 and para-H2O collisions","UGA, CNRS, CNRS-INSU, OSUG",2021,en,Dataset,"Please acknowledge the use of EMAA Database by citing the original articles in which the data were published (BibTeX format available), and adding the following sentence in your publication:
-This research has made use of spectroscopic and collisional data from the EMAA database (https://emaa.osug.fr). EMAA is supported by the Observatoire des Sciences de l'Univers de Grenoble (OSUG),Creative Commons Attribution 4.0 International,Data access and use are ruled by the EMAA data policy.",11 rotation energy levels / 10 radiative transitions / 10 collisional transitions for para-H2 (9 temperatures in the range 2-40K) / 55 collisional transitions for para-H2O (20 temperatures in the range 5-100K) / 55 collisional transitions for ortho-H2O (20 temperatures in the range 5-100K),mds,True,findable,0,0,0,0,0,2022-02-07T11:24:17.000Z,2022-02-07T11:24:18.000Z,inist.osug,jbru,"target CO,excitationType Rotation,collisional excitation,collider.0 para-H2,collider.1 para-H2O,collider.2 ortho-H2O,astrophysics,interstellar medium,comets,circumstellar medium,gas,microwave spectroscopy,infrared spectroscopy,rotational excitation,rovibrational excitation,vibrational excitation,electronic excitation,collisional rate coefficients,fine structure,hyperfine structure","[{'subject': 'target CO', 'subjectScheme': 'main'}, {'subject': 'excitationType Rotation', 'subjectScheme': 'main'}, {'subject': 'collisional excitation', 'subjectScheme': 'main'}, {'subject': 'collider.0 para-H2', 'subjectScheme': 'var'}, {'subject': 'collider.1 para-H2O', 'subjectScheme': 'var'}, {'subject': 'collider.2 ortho-H2O', 'subjectScheme': 'var'}, {'subject': 'astrophysics', 'subjectScheme': 'var'}, {'subject': 'interstellar medium', 'subjectScheme': 'var'}, {'subject': 'comets', 'subjectScheme': 'var'}, {'subject': 'circumstellar medium', 'subjectScheme': 'var'}, {'subject': 'gas', 'subjectScheme': 'var'}, {'subject': 'microwave spectroscopy', 'subjectScheme': 'var'}, {'subject': 'infrared spectroscopy', 'subjectScheme': 'var'}, {'subject': 'rotational excitation', 'subjectScheme': 'var'}, {'subject': 'rovibrational excitation', 'subjectScheme': 'var'}, {'subject': 'vibrational excitation', 'subjectScheme': 'var'}, {'subject': 'electronic excitation', 'subjectScheme': 'var'}, {'subject': 'collisional rate coefficients', 'subjectScheme': 'var'}, {'subject': 'fine structure', 'subjectScheme': 'var'}, {'subject': 'hyperfine structure', 'subjectScheme': 'var'}]",,['Radex']
-10.17178/amma-catch.cl.rain_n,"Precipitation dataset (5 minutes rainfall), 30 long-term stations over the Niamey square degree site (16 000 km2), Niger","IRD, CNRS-INSU, OSUG, OMP, OREME",1990,en,Dataset,"Creative Commons Attribution 4.0 International,Data access and use are ruled by the AMMA-CATCH data policy.,For any publication using AMMA-CATCH data, authors are asked to:
+Co-authorship: depending on the contribution of the data to the scientific results obtained, the authors should either propose co-authorship to the data providers or at least acknowledge their contribution.",Documentation of soil water content and of soil hydrodynamic behaviour from surface to 2.5 m deep. Knowledge of main infiltration areas and of the speed of water front progression.,mds,True,findable,0,0,1,0,0,2018-03-16T15:37:04.000Z,2018-03-16T15:37:05.000Z,inist.osug,jbru,"Soil temperature, soil moisture content,Sahelian climate,Soil Moisture/CS616 Period at depth 5 cm,Soil Moisture/CS616 Period -0.4 to -0.7 m,Soil Moisture/CS616 Period at depth 5 cm (2),Soil Moisture/CS616 Period at depth 28 cm,Soil Water/Watermark Conductance at depth 11 cm,Soil Water/Watermark Conductance at height 1.19 m,Soil Water/Watermark Conductance at depth 2.3 m,Soil Temperature at depth 70 cm,Soil Temperature at depth 50 cm,Soil Moisture/CS616 Period at depth 15 cm,Soil Temperature at depth 1.15 m,Soil Temperature at depth 15 cm,Soil Water/Watermark Conductance at depth 2 m,Soil Water/Watermark Conductance at depth 2.47 m,Soil Moisture/CS615 Period -0.7 to -1 m,Soil Temperature at depth 30 cm,Soil Water/Watermark Conductance at depth 1.97 m,Soil Water/Watermark Conductance at depth 47 cm,Soil Water/Watermark Conductance at depth 2.27 m,Soil Moisture/CS616 Period -1.3 to -1.6 m,Soil Water/Watermark Conductance at depth 1.5 m,Soil Temperature at depth 1.5 m,Soil Water/Watermark Conductance at height 86 cm,Soil Water/Watermark Conductance at depth 2.5 m,Soil Moisture/CS616 Period at height 28 cm,Soil Temperature at depth 85 cm,Soil Water/Watermark Conductance at depth 25 cm,Soil Water/Watermark Conductance at depth 85 cm,Soil Water/Watermark Conductance at depth 30 cm,Soil Temperature at depth 25 cm,Soil Temperature at depth 55 cm,Soil Temperature at depth 1 m,Soil Moisture/CS616 Period at depth 30 cm,Soil Water/Watermark Conductance at height 43 cm,Soil Water/Watermark Conductance at height 38 cm,Soil Moisture/CS616 Period -1.4 to -1.7 m,Soil Moisture/CS616 Period -0.1 to -0.4 m,Soil Moisture/CS616 Period -0.7 to -1 m,Soil Moisture/CS616 Period -1.05 to -1.35 m,Soil Water/Watermark Conductance at depth 1.15 m,Soil Moisture/CS615 Period -1.05 to -1.35 m,Soil Water/Watermark Conductance at depth 1.33 m,Soil Water/Watermark Conductance at depth 29 cm,Soil Water/Watermark Conductance at depth 55 cm,Soil Water/Watermark Conductance at depth 1.47 m","[{'subject': 'Soil temperature, soil moisture content', 'subjectScheme': 'main'}, {'subject': 'Sahelian climate', 'subjectScheme': 'main'}, {'subject': 'Soil Moisture/CS616 Period at depth 5 cm', 'subjectScheme': 'var'}, {'subject': 'Soil Moisture/CS616 Period -0.4 to -0.7 m', 'subjectScheme': 'var'}, {'subject': 'Soil Moisture/CS616 Period at depth 5 cm (2)', 'subjectScheme': 'var'}, {'subject': 'Soil Moisture/CS616 Period at depth 28 cm', 'subjectScheme': 'var'}, {'subject': 'Soil Water/Watermark Conductance at depth 11 cm', 'subjectScheme': 'var'}, {'subject': 'Soil Water/Watermark Conductance at height 1.19 m', 'subjectScheme': 'var'}, {'subject': 'Soil Water/Watermark Conductance at depth 2.3 m', 'subjectScheme': 'var'}, {'subject': 'Soil Temperature at depth 70 cm', 'subjectScheme': 'var'}, {'subject': 'Soil Temperature at depth 50 cm', 'subjectScheme': 'var'}, {'subject': 'Soil Moisture/CS616 Period at depth 15 cm', 'subjectScheme': 'var'}, {'subject': 'Soil Temperature at depth 1.15 m', 'subjectScheme': 'var'}, {'subject': 'Soil Temperature at depth 15 cm', 'subjectScheme': 'var'}, {'subject': 'Soil Water/Watermark Conductance at depth 2 m', 'subjectScheme': 'var'}, {'subject': 'Soil Water/Watermark Conductance at depth 2.47 m', 'subjectScheme': 'var'}, {'subject': 'Soil Moisture/CS615 Period -0.7 to -1 m', 'subjectScheme': 'var'}, {'subject': 'Soil Temperature at depth 30 cm', 'subjectScheme': 'var'}, {'subject': 'Soil Water/Watermark Conductance at depth 1.97 m', 'subjectScheme': 'var'}, {'subject': 'Soil Water/Watermark Conductance at depth 47 cm', 'subjectScheme': 'var'}, {'subject': 'Soil Water/Watermark Conductance at depth 2.27 m', 'subjectScheme': 'var'}, {'subject': 'Soil Moisture/CS616 Period -1.3 to -1.6 m', 'subjectScheme': 'var'}, {'subject': 'Soil Water/Watermark Conductance at depth 1.5 m', 'subjectScheme': 'var'}, {'subject': 'Soil Temperature at depth 1.5 m', 'subjectScheme': 'var'}, {'subject': 'Soil Water/Watermark Conductance at height 86 cm', 'subjectScheme': 'var'}, {'subject': 'Soil Water/Watermark Conductance at depth 2.5 m', 'subjectScheme': 'var'}, {'subject': 'Soil Moisture/CS616 Period at height 28 cm', 'subjectScheme': 'var'}, {'subject': 'Soil Temperature at depth 85 cm', 'subjectScheme': 'var'}, {'subject': 'Soil Water/Watermark Conductance at depth 25 cm', 'subjectScheme': 'var'}, {'subject': 'Soil Water/Watermark Conductance at depth 85 cm', 'subjectScheme': 'var'}, {'subject': 'Soil Water/Watermark Conductance at depth 30 cm', 'subjectScheme': 'var'}, {'subject': 'Soil Temperature at depth 25 cm', 'subjectScheme': 'var'}, {'subject': 'Soil Temperature at depth 55 cm', 'subjectScheme': 'var'}, {'subject': 'Soil Temperature at depth 1 m', 'subjectScheme': 'var'}, {'subject': 'Soil Moisture/CS616 Period at depth 30 cm', 'subjectScheme': 'var'}, {'subject': 'Soil Water/Watermark Conductance at height 43 cm', 'subjectScheme': 'var'}, {'subject': 'Soil Water/Watermark Conductance at height 38 cm', 'subjectScheme': 'var'}, {'subject': 'Soil Moisture/CS616 Period -1.4 to -1.7 m', 'subjectScheme': 'var'}, {'subject': 'Soil Moisture/CS616 Period -0.1 to -0.4 m', 'subjectScheme': 'var'}, {'subject': 'Soil Moisture/CS616 Period -0.7 to -1 m', 'subjectScheme': 'var'}, {'subject': 'Soil Moisture/CS616 Period -1.05 to -1.35 m', 'subjectScheme': 'var'}, {'subject': 'Soil Water/Watermark Conductance at depth 1.15 m', 'subjectScheme': 'var'}, {'subject': 'Soil Moisture/CS615 Period -1.05 to -1.35 m', 'subjectScheme': 'var'}, {'subject': 'Soil Water/Watermark Conductance at depth 1.33 m', 'subjectScheme': 'var'}, {'subject': 'Soil Water/Watermark Conductance at depth 29 cm', 'subjectScheme': 'var'}, {'subject': 'Soil Water/Watermark Conductance at depth 55 cm', 'subjectScheme': 'var'}, {'subject': 'Soil Water/Watermark Conductance at depth 1.47 m', 'subjectScheme': 'var'}]",,"['CSV', 'NETCDF', 'O&M 1.0']"
+10.48537/10.48537/hal-03220247,Atmosphere and the Anthropogenic Metapolis,Reseau International Ambiances,2020,en,Text,Creative Commons Attribution Non Commercial No Derivatives 2.0 Generic,"This article explores connections between the concepts of atmosphere, Anthropocene and contemporary urbanity. First, contemporary urbanity is specified as Metapolis composed of different assemblies of density and heterogeneity. Second, the aisthetic atmospheres of the European Metapolis are portrayed as intensified in the historical centres and pluralized throughout the Metapolis. Third, the Metapolis is connected to the concept of the Anthropocene identified as the Great Acceleration. Fourth, the atmospheric and the anthropogenic aspects are assembled under the headings of the weather, atmospheric atten- tiveness to the Anthropocene and atmospheric aspects of Metapolitan climate politics.",fabrica,True,findable,0,0,0,0,0,2021-06-16T16:24:43.000Z,2021-06-16T16:24:43.000Z,jbru.aau,jbru,"Air,Anthropocene,Atmosphere,Great Acceleration,Metapolis","[{'lang': 'en', 'subject': 'Air'}, {'lang': 'en', 'subject': 'Anthropocene'}, {'lang': 'en', 'subject': 'Atmosphere'}, {'lang': 'en', 'subject': 'Great Acceleration'}, {'lang': 'en', 'subject': 'Metapolis'}]",['6 pages'],['application/pdf']
+10.5281/zenodo.7015277,"Supplemental information data from: ""Evidence for amorphous sulfates as the main carrier of soil hydration in Gale crater, Mars""",Zenodo,2022,,Dataset,"Creative Commons Attribution 4.0 International,Open Access","This dataset includes the target name and chemical composition of each ChemCam sequence used in the above-mentioned article. The quantification for each ChemCam spectrum in the soils of the Bradbury, Rocknest and Yellowknife Bay area are in percentage mass fractions (wt.%) for most major oxides (i.e., SiO2, TiO2, Al2O3, FeOT , MgO, CaO, Na2O, K2O). Sulfur and hydrogen abundances are expressed respectively in peak area (normalized) and ICA H scores.",mds,True,findable,0,0,0,0,0,2022-08-22T16:01:22.000Z,2022-08-22T16:01:22.000Z,cern.zenodo,cern,"Mars,ChemCam,Laser-Induced Breakdown Spectroscopy,Soils","[{'subject': 'Mars'}, {'subject': 'ChemCam'}, {'subject': 'Laser-Induced Breakdown Spectroscopy'}, {'subject': 'Soils'}]",,
+10.60662/0yc3-e898,Vers un service générique d’aide à la décision pour gérer un logement basé sur des techniques d’apprentissage interactif et coopératif,CIGI QUALITA MOSIM 2023,2023,,ConferencePaper,,,fabricaForm,True,findable,0,0,0,0,0,2023-09-01T19:58:37.000Z,2023-09-01T19:58:37.000Z,uqtr.mesxqq,uqtr,,,,
+10.17178/emaa_ortho-h2o_rotation_0d2ed16f,Rotation excitation of ortho-H2O by H and electron collisions,"UGA, CNRS, CNRS-INSU, OSUG",2022,en,Dataset,"Please acknowledge the use of EMAA Database by citing the original articles in which the data were published (BibTeX format available), and adding the following sentence in your publication:
+This research has made use of spectroscopic and collisional data from the EMAA database (https://emaa.osug.fr). EMAA is supported by the Observatoire des Sciences de l'Univers de Grenoble (OSUG),Creative Commons Attribution 4.0 International,Data access and use are ruled by the EMAA data policy.",45 rotation energy levels / 124 radiative transitions / 990 collisional transitions for H (14 temperatures in the range 5-1500K) / 91 collisional transitions for electron (9 temperatures in the range 10-500K),mds,True,findable,0,0,0,0,0,2022-02-07T11:25:37.000Z,2022-02-07T11:25:38.000Z,inist.osug,jbru,"target ortho-H2O,excitationType Rotation,collisional excitation,collider.0 H,collider.1 electron,astrophysics,interstellar medium,comets,circumstellar medium,gas,microwave spectroscopy,infrared spectroscopy,rotational excitation,rovibrational excitation,vibrational excitation,electronic excitation,collisional rate coefficients,fine structure,hyperfine structure","[{'subject': 'target ortho-H2O', 'subjectScheme': 'main'}, {'subject': 'excitationType Rotation', 'subjectScheme': 'main'}, {'subject': 'collisional excitation', 'subjectScheme': 'main'}, {'subject': 'collider.0 H', 'subjectScheme': 'var'}, {'subject': 'collider.1 electron', 'subjectScheme': 'var'}, {'subject': 'astrophysics', 'subjectScheme': 'var'}, {'subject': 'interstellar medium', 'subjectScheme': 'var'}, {'subject': 'comets', 'subjectScheme': 'var'}, {'subject': 'circumstellar medium', 'subjectScheme': 'var'}, {'subject': 'gas', 'subjectScheme': 'var'}, {'subject': 'microwave spectroscopy', 'subjectScheme': 'var'}, {'subject': 'infrared spectroscopy', 'subjectScheme': 'var'}, {'subject': 'rotational excitation', 'subjectScheme': 'var'}, {'subject': 'rovibrational excitation', 'subjectScheme': 'var'}, {'subject': 'vibrational excitation', 'subjectScheme': 'var'}, {'subject': 'electronic excitation', 'subjectScheme': 'var'}, {'subject': 'collisional rate coefficients', 'subjectScheme': 'var'}, {'subject': 'fine structure', 'subjectScheme': 'var'}, {'subject': 'hyperfine structure', 'subjectScheme': 'var'}]",,['Radex']
+10.17178/emaa_c(15n)_hyperfine_a1b197e3,Hyperfine excitation of C[15N] by para-H2 collisions,"UGA, CNRS, CNRS-INSU, OSUG",2021,en,Dataset,"Please acknowledge the use of EMAA Database by citing the original articles in which the data were published (BibTeX format available), and adding the following sentence in your publication:
+This research has made use of spectroscopic and collisional data from the EMAA database (https://emaa.osug.fr). EMAA is supported by the Observatoire des Sciences de l'Univers de Grenoble (OSUG),Creative Commons Attribution 4.0 International,Data access and use are ruled by the EMAA data policy.",34 hyperfine energy levels / 76 radiative transitions / 560 collisional transitions for para-H2 (25 temperatures in the range 5-150K),mds,True,findable,0,0,0,0,0,2021-11-18T13:34:37.000Z,2021-11-18T13:34:37.000Z,inist.osug,jbru,"target C[15N],excitationType Hyperfine,collisional excitation,collider.0 para-H2,astrophysics,interstellar medium,comets,circumstellar medium,gas,microwave spectroscopy,infrared spectroscopy,rotational excitation,rovibrational excitation,vibrational excitation,electronic excitation,collisional rate coefficients,fine structure,hyperfine structure","[{'subject': 'target C[15N]', 'subjectScheme': 'main'}, {'subject': 'excitationType Hyperfine', 'subjectScheme': 'main'}, {'subject': 'collisional excitation', 'subjectScheme': 'main'}, {'subject': 'collider.0 para-H2', 'subjectScheme': 'var'}, {'subject': 'astrophysics', 'subjectScheme': 'var'}, {'subject': 'interstellar medium', 'subjectScheme': 'var'}, {'subject': 'comets', 'subjectScheme': 'var'}, {'subject': 'circumstellar medium', 'subjectScheme': 'var'}, {'subject': 'gas', 'subjectScheme': 'var'}, {'subject': 'microwave spectroscopy', 'subjectScheme': 'var'}, {'subject': 'infrared spectroscopy', 'subjectScheme': 'var'}, {'subject': 'rotational excitation', 'subjectScheme': 'var'}, {'subject': 'rovibrational excitation', 'subjectScheme': 'var'}, {'subject': 'vibrational excitation', 'subjectScheme': 'var'}, {'subject': 'electronic excitation', 'subjectScheme': 'var'}, {'subject': 'collisional rate coefficients', 'subjectScheme': 'var'}, {'subject': 'fine structure', 'subjectScheme': 'var'}, {'subject': 'hyperfine structure', 'subjectScheme': 'var'}]",,['Radex']
+10.5281/zenodo.4288857,din14970/TVIPSconverter: tvipsconverter v0.1.3,Zenodo,2020,,Software,Open Access,"GUI converter for 4D-STEM or PED data from TVIPS cameras into .blo files, tiffs, or .hspy files.",mds,True,findable,0,0,0,0,0,2020-11-24T14:48:06.000Z,2020-11-24T14:48:07.000Z,cern.zenodo,cern,,,,
+10.5281/zenodo.8392608,CSF22,Zenodo,2023,fr,Dataset,Restricted Access,"1087 French sentences cued by a professional French Cuer with typical hearing CSF22 - video aspects 1920x1020, 30-60 fps - audio/ aspects 44.1 kHz |---→CSF22_test |---→test_labels: 108 csv files |---→test_videos: 108 webm files |---→CSF22_train |---→train_labels: 949 csv files |---→train_videos: 949 webm files |---→ phonelist.csv: list of the 36 labels used (including start and end tokens) to encode French phonemes at GIPSA-lab. |---→ prompts.csv: Text prompt of the recorded sentences",mds,True,findable,0,0,0,0,0,2023-09-29T14:15:23.000Z,2023-09-29T14:15:24.000Z,cern.zenodo,cern,"Cued Speech, French, LFPC,","[{'subject': 'Cued Speech, French, LFPC,'}]",,
+10.5281/zenodo.10211920,"Dataset for ""Reduced ice loss from Greenland under stratospheric aerosol injection""",Zenodo,2023,en,Dataset,Creative Commons Attribution 4.0 International,"Dataset for the paper ""Reduced ice loss from Greenland under stratospheric aerosol injection""(Journal of Geophysical Research: Earth Surface, 128 (11), e2023JF007112, doi: 10.1029/2023JF007112).
+Please see the README for details.
+V1.1.1: README and metadata updated.V1.1: Scripts related to the ISIMIP-method downscaling, SEMIC code, as well as configuration and input files for SICOPOLIS and Elmer/Ice added.V1: Results of new simulations that include both atmospheric and oceanic forcing.V0.9.1: Crucial bug fix in the files ElmerIce_MIROC-ESM-CHEM-{RCP85,RCP45,G4}_2D_final.nc (those in V0.9 were faulty).V0.9: Scalar variables: now distinguished between state and flux variables. 2D variables added.V0.5: Scalar variables as functions of time.
+* * * * * * *
+The following script may be used to download the entire content of the archive on a Unix/Linux system:
+#!/bin/bash# --- download_all.sh ---repodir=""https://zenodo.org/record/10211920/files""files=(""_README.pdf"" \      ""Output_SICOPOLIS_Scalar.zip"" ""Output_ElmerIce_Scalar.zip"" \      ""Output_SICOPOLIS_2D.zip"" ""Output_ElmerIce_2D.zip"" \      ""Repo_ISIMIP_downscale.zip"" ""Repo_SEMIC.zip"" \      ""Repo_SICOPOLIS.zip"" ""Repo_ElmerIce.zip"")for file in ${files[@]}; do   wget ""${repodir}/${file}""doneecho ""--- Done! ---""
+Â ",api,True,findable,0,0,1,1,0,2023-11-28T03:30:42.000Z,2023-11-28T03:30:43.000Z,cern.zenodo,cern,"Greenland,Ice sheet,Modelling,Ice-sheet modelling,Arctic glaciology,Climate change,Ice and climate,Sea-level rise,Geoengineering","[{'subject': 'Greenland'}, {'subject': 'Ice sheet'}, {'subject': 'Modelling'}, {'subject': 'Ice-sheet modelling'}, {'subject': 'Arctic glaciology'}, {'subject': 'Climate change'}, {'subject': 'Ice and climate'}, {'subject': 'Sea-level rise'}, {'subject': 'Geoengineering'}]",,
+10.17178/emaa_ortho-d2s_rotation_a6fd14e0,Rotation excitation of ortho-D2S by ortho-H2 and para-H2 collisions,"UGA, CNRS, CNRS-INSU, OSUG",2022,en,Dataset,"Please acknowledge the use of EMAA Database by citing the original articles in which the data were published (BibTeX format available), and adding the following sentence in your publication:
+This research has made use of spectroscopic and collisional data from the EMAA database (https://emaa.osug.fr). EMAA is supported by the Observatoire des Sciences de l'Univers de Grenoble (OSUG),Creative Commons Attribution 4.0 International,Data access and use are ruled by the EMAA data policy.",26 rotation energy levels / 58 radiative transitions / 325 collisional transitions for ortho-H2 (11 temperatures in the range 5-400K) / 325 collisional transitions for para-H2 (11 temperatures in the range 5-400K),mds,True,findable,0,0,0,0,0,2023-12-07T15:51:38.000Z,2023-12-07T15:51:39.000Z,inist.osug,jbru,"target ortho-D2S,excitationType Rotation,collisional excitation,collider.0 ortho-H2,collider.1 para-H2,astrophysics,interstellar medium,comets,circumstellar medium,gas,microwave spectroscopy,infrared spectroscopy,rotational excitation,rovibrational excitation,vibrational excitation,electronic excitation,collisional rate coefficients,fine structure,hyperfine structure","[{'subject': 'target ortho-D2S', 'subjectScheme': 'main'}, {'subject': 'excitationType Rotation', 'subjectScheme': 'main'}, {'subject': 'collisional excitation', 'subjectScheme': 'main'}, {'subject': 'collider.0 ortho-H2', 'subjectScheme': 'var'}, {'subject': 'collider.1 para-H2', 'subjectScheme': 'var'}, {'subject': 'astrophysics', 'subjectScheme': 'var'}, {'subject': 'interstellar medium', 'subjectScheme': 'var'}, {'subject': 'comets', 'subjectScheme': 'var'}, {'subject': 'circumstellar medium', 'subjectScheme': 'var'}, {'subject': 'gas', 'subjectScheme': 'var'}, {'subject': 'microwave spectroscopy', 'subjectScheme': 'var'}, {'subject': 'infrared spectroscopy', 'subjectScheme': 'var'}, {'subject': 'rotational excitation', 'subjectScheme': 'var'}, {'subject': 'rovibrational excitation', 'subjectScheme': 'var'}, {'subject': 'vibrational excitation', 'subjectScheme': 'var'}, {'subject': 'electronic excitation', 'subjectScheme': 'var'}, {'subject': 'collisional rate coefficients', 'subjectScheme': 'var'}, {'subject': 'fine structure', 'subjectScheme': 'var'}, {'subject': 'hyperfine structure', 'subjectScheme': 'var'}]",,['Radex']
+10.5061/dryad.4rr39,Data from: Highly overlapping winter diet in two sympatric lemming species revealed by DNA metabarcoding,Dryad,2015,en,Dataset,Creative Commons Zero v1.0 Universal,"Sympatric species are expected to minimize competition by partitioning resources, especially when these are limited. Herbivores inhabiting the High Arctic in winter are a prime example of a situation where food availability is anticipated to be low, and thus reduced diet overlap is expected. We present here the first assessment of diet overlap of high arctic lemmings during winter based on DNA metabarcoding of feces. In contrast to previous analyses based on microhistology, we found that the diets of both collared (Dicrostonyx groenlandicus) and brown lemmings (Lemmus trimucronatus) on Bylot Island were dominated by Salix while mosses, which were significantly consumed only by the brown lemming, were a relatively minor food item. The most abundant plant taxon, Cassiope tetragona, which alone composes more than 50% of the available plant biomass, was not detected in feces and can thus be considered to be non-food. Most plant taxa that were identified as food items were consumed in proportion to their availability and none were clearly selected for. The resulting high diet overlap, together with a lack of habitat segregation, indicates a high potential for resource competition between the two lemming species. However, Salix is abundant in the winter habitats of lemmings on Bylot Island and the non-Salix portion of the diets differed between the two species. Also, lemming grazing impact on vegetation during winter in the study area is negligible. Hence, it seems likely that the high potential for resource competition predicted between these two species did not translate into actual competition. This illustrates that even in environments with low primary productivity food resources do not necessarily generate strong competition among herbivores.",mds,True,findable,400,63,1,1,0,2015-02-03T16:24:46.000Z,2015-02-03T16:24:47.000Z,dryad.dryad,dryad,"arctic bryophyte,Diet Analysis,lemming,Lemmus trimucronatus,bryophyte reference library,Boreal,trnL (UAA) intron,Bryophyta,c-h primer pair,Dicrostonyx groenlandicus","[{'subject': 'arctic bryophyte'}, {'subject': 'Diet Analysis'}, {'subject': 'lemming'}, {'subject': 'Lemmus trimucronatus'}, {'subject': 'bryophyte reference library'}, {'subject': 'Boreal'}, {'subject': 'trnL (UAA) intron'}, {'subject': 'Bryophyta'}, {'subject': 'c-h primer pair'}, {'subject': 'Dicrostonyx groenlandicus'}]",['9873653 bytes'],
+10.48537/hal-03220343,Ambiences and Safety? Methods for Security Experience Design,Reseau International Ambiances,2020,en,Text,Creative Commons Attribution Non Commercial No Derivatives 2.0 Generic,"TAMK is taking part to Smart Urban Security and Event Resilience Project (SURE) funded by the EU’s Urban Innovative Actions initiative since 2019 and ending 2022. Our objective in SURE is to get data how the safety sense of ambiance affects to act and participate in ordinary social life? Due COVID-19 the method changed from go-along with the special groups to different places and occasions around the city center to virtual walks using 360-technologies, simulating and dramatizing the experience. The aim remains to develop and update the situation awareness of safety, for the improvement of urban plan- ning and development of security by design concepts. In my paper, I will study the methods for safety experience design.",mds,True,findable,0,0,0,0,0,2021-06-17T09:44:31.000Z,2021-06-17T09:44:31.000Z,jbru.aau,jbru,"Ambience,Security,Safety,Urban Planning,Service Design","[{'lang': 'eng', 'subject': 'Ambience'}, {'lang': 'eng', 'subject': 'Security'}, {'lang': 'eng', 'subject': 'Safety'}, {'lang': 'eng', 'subject': 'Urban Planning'}, {'lang': 'eng', 'subject': 'Service Design'}]",['6 pages'],['application/pdf']
+10.5281/zenodo.10020983,robertxa/pytherion: First realease,Zenodo,2023,,Software,Creative Commons Attribution 4.0 International,Python code to convert Visual Top .tro file to Therion files (.th and .thconfig),api,True,findable,0,0,0,0,0,2023-10-19T08:43:17.000Z,2023-10-19T08:43:17.000Z,cern.zenodo,cern,,,,
+10.17178/emaa_meta-nd3_hyperfine_b3e9eff8,Hyperfine excitation of meta-ND3 by para-H2 collisions,"UGA, CNRS, CNRS-INSU, OSUG",2021,en,Dataset,"Please acknowledge the use of EMAA Database by citing the original articles in which the data were published (BibTeX format available), and adding the following sentence in your publication:
+This research has made use of spectroscopic and collisional data from the EMAA database (https://emaa.osug.fr). EMAA is supported by the Observatoire des Sciences de l'Univers de Grenoble (OSUG),Creative Commons Attribution 4.0 International,Data access and use are ruled by the EMAA data policy.",7 hyperfine energy levels / 9 radiative transitions / 15 collisional transitions for para-H2 (8 temperatures in the range 5-40K),mds,True,findable,0,0,0,0,0,2021-11-17T14:01:11.000Z,2021-11-17T14:01:13.000Z,inist.osug,jbru,"target meta-ND3,excitationType Hyperfine,collisional excitation,collider.0 para-H2,astrophysics,interstellar medium,comets,circumstellar medium,gas,microwave spectroscopy,infrared spectroscopy,rotational excitation,rovibrational excitation,vibrational excitation,electronic excitation,collisional rate coefficients,fine structure,hyperfine structure","[{'subject': 'target meta-ND3', 'subjectScheme': 'main'}, {'subject': 'excitationType Hyperfine', 'subjectScheme': 'main'}, {'subject': 'collisional excitation', 'subjectScheme': 'main'}, {'subject': 'collider.0 para-H2', 'subjectScheme': 'var'}, {'subject': 'astrophysics', 'subjectScheme': 'var'}, {'subject': 'interstellar medium', 'subjectScheme': 'var'}, {'subject': 'comets', 'subjectScheme': 'var'}, {'subject': 'circumstellar medium', 'subjectScheme': 'var'}, {'subject': 'gas', 'subjectScheme': 'var'}, {'subject': 'microwave spectroscopy', 'subjectScheme': 'var'}, {'subject': 'infrared spectroscopy', 'subjectScheme': 'var'}, {'subject': 'rotational excitation', 'subjectScheme': 'var'}, {'subject': 'rovibrational excitation', 'subjectScheme': 'var'}, {'subject': 'vibrational excitation', 'subjectScheme': 'var'}, {'subject': 'electronic excitation', 'subjectScheme': 'var'}, {'subject': 'collisional rate coefficients', 'subjectScheme': 'var'}, {'subject': 'fine structure', 'subjectScheme': 'var'}, {'subject': 'hyperfine structure', 'subjectScheme': 'var'}]",,['Radex']
+10.48380/6fh7-7m80,Experimental alteration of ferroan brucite at temperature below 150°C: new thermodynamic and kinetic constaints on H2 production during ultramafic rock alteration at low temperature,Deutsche Geologische Gesellschaft - Geologische Vereinigung e.V. (DGGV),2023,en,Text,,"<p>The alteration of ferroan brucite, a common by-product of serpentinization, has been proposed as a H<sub>2</sub> source at low temperature. Here, synthetic ferroan brucite with Fe/(Fe+Mg) = 0.2 was reacted with pure water at temperatures ranging from 348 to 573 K in 29 experiments either conducted in gold capsules or in Ti-based reactors. H<sub>2</sub> production monitoring with time and characterization of the reaction products revealed the occurrence of the following reaction: 3 Fe(OH)<sub>2</sub><sup>brucite</sup> = Fe<sub>3</sub>O<sub>4</sub> + H<sub>2</sub> + 2 H<sub>2</sub>O. This reaction proceeded completely in ~ 2 months at 378 K and was thermally activated. The small grain size of the synthetic brucite (40-100 nm) was similar to observations in natural samples, and was probably responsible for the high reaction rate measured. H<sub>2</sub> production reached a plateau and Fe-bearing brucite also precipitated as a reaction product, suggesting the achievement of equilibrium. The thermodynamic properties of Fe(OH)<sub>2</sub> were refined based on the experimental dataset and differ by less than 5 % from previous estimates. However, ferroan brucite is predicted to be stable at an hydrogen activity one order of magnitude lower than previously calculated. As a result, significant H<sub>2</sub> production during ferroan brucite alteration at low temperature requires efficient fluid renewal. Such a mechanism strongly differs from olivine serpentinization which can occur even at high activity in H<sub>2</sub> and thus with limited water renewal.</p>
+",api,True,findable,0,0,0,0,0,2023-12-11T21:15:14.000Z,2023-12-11T21:15:14.000Z,mcdy.dohrmi,mcdy,,,,
+10.6084/m9.figshare.c.6853693.v1,Obstructive sleep apnea: a major risk factor for COVID-19 encephalopathy?,figshare,2023,,Collection,Creative Commons Attribution 4.0 International,"Abstract Background This study evaluates the impact of high risk of obstructive sleep apnea (OSA) on coronavirus disease 2019 (COVID-19) acute encephalopathy (AE). Methods Between 3/1/2020 and 11/1/2021, 97 consecutive patients were evaluated at the Geneva University Hospitals with a neurological diagnosis of COVID-19 AE. They were divided in two groups depending on the presence or absence of high risk for OSA based on the modified NOSAS score (mNOSAS, respectively ≥ 8 and < 8). We compared patients’ characteristics (clinical, biological, brain MRI, EEG, pulmonary CT). The severity of COVID-19 AE relied on the RASS and CAM scores. Results Most COVID-19 AE patients presented with a high mNOSAS, suggesting high risk of OSA (> 80%). Patients with a high mNOSAS had a more severe form of COVID-19 AE (84.8% versus 27.8%), longer mean duration of COVID-19 AE (27.9 versus 16.9 days), higher mRS at discharge (≥ 3 in 58.2% versus 16.7%), and increased prevalence of brain vessels enhancement (98.1% versus 20.0%). High risk of OSA was associated with a 14 fold increased risk of developing a severe COVID-19 AE (OR = 14.52). Discussion These observations suggest an association between high risk of OSA and COVID-19 AE severity. High risk of OSA could be a predisposing factor leading to severe COVID-19 AE and consecutive long-term sequalae.",mds,True,findable,0,0,0,0,0,2023-09-27T03:26:12.000Z,2023-09-27T03:26:13.000Z,figshare.ars,otjm,"Biophysics,Medicine,Cell Biology,Neuroscience,Physiology,FOS: Biological sciences,Pharmacology,Biotechnology,Sociology,FOS: Sociology,Immunology,FOS: Clinical medicine,Cancer,Mental Health,Virology","[{'subject': 'Biophysics'}, {'subject': 'Medicine'}, {'subject': 'Cell Biology'}, {'subject': 'Neuroscience'}, {'subject': 'Physiology'}, {'subject': 'FOS: Biological sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Pharmacology'}, {'subject': 'Biotechnology'}, {'subject': 'Sociology'}, {'subject': 'FOS: Sociology', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Immunology'}, {'subject': 'FOS: Clinical medicine', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Cancer'}, {'subject': 'Mental Health'}, {'subject': 'Virology'}]",,
+10.48537/hal-03220365,"Urban Atmospheres in Pandemic Times, Between Science Fiction and Reality",Reseau International Ambiances,2020,en,Text,Creative Commons Attribution Non Commercial No Derivatives 2.0 Generic,"March 2020, I find myself in confine- ment at home feeling a myriad of intense emo- tions with the impression of living the scenario of the film Contagion by Steven Soderbergh (2011). I am thinking about this anticipation thriller that describes – or predicts? – similar atmospheres to those that the world is currently going through. The aim of my proposal is to explore some links between the filmic atmospheres of epidemic horror films and urban atmospheres of our daily lives through the emotions they arouse. Through this example that we will analyze, we will discuss whether it is possible to consider science fiction cinema as an investi- gative tool on the way in which contemporary environmental and social changes affect the sensitive world, its atmospheres and the way of living them.",mds,True,findable,0,0,0,0,0,2021-06-17T10:17:17.000Z,2021-06-17T10:17:18.000Z,jbru.aau,jbru,"Filmic Atmospheres,Epidemic Horror Films,Urban Atmospheres,Emotions","[{'lang': 'eng', 'subject': 'Filmic Atmospheres'}, {'lang': 'eng', 'subject': 'Epidemic Horror Films'}, {'lang': 'eng', 'subject': 'Urban Atmospheres'}, {'lang': 'eng', 'subject': 'Emotions'}]",['6 pages'],['application/pdf']
+10.17178/emaa_para-h2(13c)o_rotation_903f6446,Rotation excitation of para-H2[13C]O by ortho-H2 and para-H2 collisions,"UGA, CNRS, CNRS-INSU, OSUG",2021,en,Dataset,"Please acknowledge the use of EMAA Database by citing the original articles in which the data were published (BibTeX format available), and adding the following sentence in your publication:
+This research has made use of spectroscopic and collisional data from the EMAA database (https://emaa.osug.fr). EMAA is supported by the Observatoire des Sciences de l'Univers de Grenoble (OSUG),Creative Commons Attribution 4.0 International,Data access and use are ruled by the EMAA data policy.",19 rotation energy levels / 36 radiative transitions / 171 collisional transitions for ortho-H2 (21 temperatures in the range 10-300K) / 171 collisional transitions for para-H2 (21 temperatures in the range 10-300K),mds,True,findable,0,0,0,0,0,2021-11-18T13:35:57.000Z,2021-11-18T13:35:58.000Z,inist.osug,jbru,"target para-H2[13C]O,excitationType Rotation,collisional excitation,collider.0 ortho-H2,collider.1 para-H2,astrophysics,interstellar medium,comets,circumstellar medium,gas,microwave spectroscopy,infrared spectroscopy,rotational excitation,rovibrational excitation,vibrational excitation,electronic excitation,collisional rate coefficients,fine structure,hyperfine structure","[{'subject': 'target para-H2[13C]O', 'subjectScheme': 'main'}, {'subject': 'excitationType Rotation', 'subjectScheme': 'main'}, {'subject': 'collisional excitation', 'subjectScheme': 'main'}, {'subject': 'collider.0 ortho-H2', 'subjectScheme': 'var'}, {'subject': 'collider.1 para-H2', 'subjectScheme': 'var'}, {'subject': 'astrophysics', 'subjectScheme': 'var'}, {'subject': 'interstellar medium', 'subjectScheme': 'var'}, {'subject': 'comets', 'subjectScheme': 'var'}, {'subject': 'circumstellar medium', 'subjectScheme': 'var'}, {'subject': 'gas', 'subjectScheme': 'var'}, {'subject': 'microwave spectroscopy', 'subjectScheme': 'var'}, {'subject': 'infrared spectroscopy', 'subjectScheme': 'var'}, {'subject': 'rotational excitation', 'subjectScheme': 'var'}, {'subject': 'rovibrational excitation', 'subjectScheme': 'var'}, {'subject': 'vibrational excitation', 'subjectScheme': 'var'}, {'subject': 'electronic excitation', 'subjectScheme': 'var'}, {'subject': 'collisional rate coefficients', 'subjectScheme': 'var'}, {'subject': 'fine structure', 'subjectScheme': 'var'}, {'subject': 'hyperfine structure', 'subjectScheme': 'var'}]",,['Radex']
+10.5281/zenodo.4628245,HPL (modified for Simgrid/SMPI),Zenodo,2021,,Software,"BSD licenses (New and Simplified),Open Access","This is a modified version of High Performance Linpack, intended to be used on top Simgrid/SMPI simulator.",mds,True,findable,0,0,1,0,0,2021-03-22T19:58:34.000Z,2021-03-22T19:58:35.000Z,cern.zenodo,cern,,,,
+10.17178/amma-catch.al.met_nc,"Meteorological dataset (including radiative budget and soil variables), within the Niamey square degree site (16 000 km2), Niger","IRD, CNRS-INSU, OSUG, OMP, OREME",2005,en,Dataset,"Creative Commons Attribution 4.0 International,Data access and use are ruled by the AMMA-CATCH data policy.,For any publication using AMMA-CATCH data, authors are asked to:
Mandatory: cite the reference article and the DOI of the observatory
@@ -3558,8 +2986,32 @@ Mandatory: cite the reference article and the DOI of the observatory
Optional: cite the DOI of each dataset used.
-Co-authorship: depending on the contribution of the data to the scientific results obtained, the authors should either propose co-authorship to the data providers or at least acknowledge their contribution.","Documentation of rainfall in the Sahelian zone. The aim is to characterize the temporal and spatial variability of rainfall at meso-scale, with a good resolution of the convective scale patterns. Data is used in hydrological modelling and assimilation activities, process studies as well as for validation of satellite products.",mds,True,findable,0,0,1,0,0,2018-03-16T15:37:14.000Z,2018-03-16T15:37:14.000Z,inist.osug,jbru,"Rainfall, precipitation, tropical convection,Sahelian climate,Precipitation Amount (previous hour),Precipitation Amount (previous 5 minutes),Precipitation Amount (previous 24 hours)","[{'subject': 'Rainfall, precipitation, tropical convection', 'subjectScheme': 'main'}, {'subject': 'Sahelian climate', 'subjectScheme': 'main'}, {'subject': 'Precipitation Amount (previous hour)', 'subjectScheme': 'var'}, {'subject': 'Precipitation Amount (previous 5 minutes)', 'subjectScheme': 'var'}, {'subject': 'Precipitation Amount (previous 24 hours)', 'subjectScheme': 'var'}]",,"['CSV', 'NETCDF', 'O&M 1.0']"
-10.17178/amma-catch.cl.raind_gh,"Precipitation dataset (daily rainfall), over the Hombori site (2500 km2), Mali","IRD, CNRS-INSU, OSUG, OMP, OREME",2003,en,Dataset,"Creative Commons Attribution 4.0 International,Data access and use are ruled by the AMMA-CATCH data policy.,For any publication using AMMA-CATCH data, authors are asked to:
+Co-authorship: depending on the contribution of the data to the scientific results obtained, the authors should either propose co-authorship to the data providers or at least acknowledge their contribution.",Documentation of climate components.,mds,True,findable,0,0,1,0,0,2018-03-16T15:36:54.000Z,2018-03-16T15:36:55.000Z,inist.osug,jbru,"Meteorology,Sahelian climate,Wind Speed,Soil Moisture/CS616 Period at depth 5 cm,Soil Moisture/CS616 Period at depth 5 cm (2),Soil Temperature at depth 10 cm,Relative Humidity,Standard Deviation of Wind Direction,Soil Temperature at depth 5 cm,Wind Direction,Air Temperature,Incoming Shortwave Radiation","[{'subject': 'Meteorology', 'subjectScheme': 'main'}, {'subject': 'Sahelian climate', 'subjectScheme': 'main'}, {'subject': 'Wind Speed', 'subjectScheme': 'var'}, {'subject': 'Soil Moisture/CS616 Period at depth 5 cm', 'subjectScheme': 'var'}, {'subject': 'Soil Moisture/CS616 Period at depth 5 cm (2)', 'subjectScheme': 'var'}, {'subject': 'Soil Temperature at depth 10 cm', 'subjectScheme': 'var'}, {'subject': 'Relative Humidity', 'subjectScheme': 'var'}, {'subject': 'Standard Deviation of Wind Direction', 'subjectScheme': 'var'}, {'subject': 'Soil Temperature at depth 5 cm', 'subjectScheme': 'var'}, {'subject': 'Wind Direction', 'subjectScheme': 'var'}, {'subject': 'Air Temperature', 'subjectScheme': 'var'}, {'subject': 'Incoming Shortwave Radiation', 'subjectScheme': 'var'}]",,"['CSV', 'NETCDF', 'O&M 1.0']"
+10.17178/emaa_hcn_rotation_a4d98833,"Rotation excitation of HCN by He, electron, ortho-H2 and para-H2 collisions","UGA, CNRS, CNRS-INSU, OSUG",2021,en,Dataset,"Please acknowledge the use of EMAA Database by citing the original articles in which the data were published (BibTeX format available), and adding the following sentence in your publication:
+This research has made use of spectroscopic and collisional data from the EMAA database (https://emaa.osug.fr). EMAA is supported by the Observatoire des Sciences de l'Univers de Grenoble (OSUG),Creative Commons Attribution 4.0 International,Data access and use are ruled by the EMAA data policy.",22 rotation energy levels / 21 radiative transitions / 36 collisional transitions for electron (12 temperatures in the range 10-1000K) / 231 collisional transitions for He (25 temperatures in the range 5-500K) / 231 collisional transitions for para-H2 (12 temperatures in the range 5-500K) / 231 collisional transitions for ortho-H2 (12 temperatures in the range 5-500K),mds,True,findable,0,0,0,0,0,2021-11-17T14:01:04.000Z,2021-11-17T14:01:05.000Z,inist.osug,jbru,"target HCN,excitationType Rotation,collisional excitation,collider.0 electron,collider.1 He,collider.2 para-H2,collider.3 ortho-H2,astrophysics,interstellar medium,comets,circumstellar medium,gas,microwave spectroscopy,infrared spectroscopy,rotational excitation,rovibrational excitation,vibrational excitation,electronic excitation,collisional rate coefficients,fine structure,hyperfine structure","[{'subject': 'target HCN', 'subjectScheme': 'main'}, {'subject': 'excitationType Rotation', 'subjectScheme': 'main'}, {'subject': 'collisional excitation', 'subjectScheme': 'main'}, {'subject': 'collider.0 electron', 'subjectScheme': 'var'}, {'subject': 'collider.1 He', 'subjectScheme': 'var'}, {'subject': 'collider.2 para-H2', 'subjectScheme': 'var'}, {'subject': 'collider.3 ortho-H2', 'subjectScheme': 'var'}, {'subject': 'astrophysics', 'subjectScheme': 'var'}, {'subject': 'interstellar medium', 'subjectScheme': 'var'}, {'subject': 'comets', 'subjectScheme': 'var'}, {'subject': 'circumstellar medium', 'subjectScheme': 'var'}, {'subject': 'gas', 'subjectScheme': 'var'}, {'subject': 'microwave spectroscopy', 'subjectScheme': 'var'}, {'subject': 'infrared spectroscopy', 'subjectScheme': 'var'}, {'subject': 'rotational excitation', 'subjectScheme': 'var'}, {'subject': 'rovibrational excitation', 'subjectScheme': 'var'}, {'subject': 'vibrational excitation', 'subjectScheme': 'var'}, {'subject': 'electronic excitation', 'subjectScheme': 'var'}, {'subject': 'collisional rate coefficients', 'subjectScheme': 'var'}, {'subject': 'fine structure', 'subjectScheme': 'var'}, {'subject': 'hyperfine structure', 'subjectScheme': 'var'}]",,['Radex']
+10.5281/zenodo.3707930,Estimate of the atmospherically-forced contribution to sea surface height variability based on altimetric observations,Zenodo,2020,,Dataset,"Creative Commons Attribution 4.0 International,Open Access","This repository contains the estimate of the atmospherically-forced contribution to sea level variability described in Close et al, 2020, and derived from the Ssalto/Duacs altimeter products produced and distributed by the Copernicus Marine and Environment Monitoring Service (CMEMS) (http://www.marine.copernicus.eu). The files contain successive 5-day averages of sea level anomaly, with the same global coverage and 0.25° grid as the Ssalto/Duacs altimeter products. The estimate is created using a spatial bandpass filter, with cutoff scales of ~1.5° and 10.5°. Zeros in the mask file indicate regions in which it has not been possible to evaluate the quality of the estimate. The cutoff scales applied to the altimetry data were determined through analysis of output from the OceaniC Chaos – ImPacts, strUcture, predicTability (Penduff et al, 2014) experiment, comprising a 50-member ensemble of ocean-sea ice model hindcasts with 0.25° horizontal resolution (Bessières et al., 2017). The spatiotemporal coherence between the model-based estimates of the atmospherically-forced (ensemble mean) and total simulated sea surface height signals was analysed, and found to exhibit distinct partitioning between the atmospherically-forced and intrinsic contributions in a spatial (but not temporal) sense, thus suggesting that meaningful estimation of the two components can be achieved based on simple spatial filtering. Verification of the method using the model data indicates good accuracy, with a global mean correlation of 0.9 between the estimate based on spatial filtering and the ensemble mean sea surface height. Full details of the methodology and verification may be found in Close et al, 2020. ---- <strong>References</strong>: Bessières, L., Leroux, S., Brankart, J.-M., Molines, J.-M., Moine, M.-P., Bouttier, P.-A., Penduff, T., Terray, L., Barnier, B., and Sérazin, G., 2017. Development of a probabilistic ocean modelling system based on NEMO 3.5: application at eddying resolution, Geosci. Model Dev., 10, 1091–1106, doi: 10.5194/gmd-10-1091-2017. Close, S., Penduff, T., Speich, S. and Molines J.-M., 2020. A means of estimating the intrinsic and atmospherically-forced contributions to sea surface height variability applied to altimetric observations. Progr. Oceanogr. doi: 10.1016/j.pocean.2020.102314 Penduff, T., Barnier, B. , Terray, L., Bessières, L., Sérazin, G., Grégorio, S., Brankart, J., Moine, M., Molines, J., Brasseur, P., 2014. Ensembles of eddying ocean simulations for climate, CLIVAR Exchanges, Special Issue on High Resolution Ocean Climate Modelling, 19.",mds,True,findable,3,0,1,0,0,2020-03-25T08:50:08.000Z,2020-03-25T08:50:10.000Z,cern.zenodo,cern,"ocean,sea level anomaly,altimetry","[{'subject': 'ocean'}, {'subject': 'sea level anomaly'}, {'subject': 'altimetry'}]",,
+10.5281/zenodo.8271121,Artifact for Dynamic Program Analysis with Flexible Instrumentation and Complex Event Processing,Zenodo,2023,,Software,"Creative Commons Attribution 4.0 International,Open Access","This repository contains the source code for the integration layer between <code>BISM</code> and <code>BeepBeep</code>. For more about these tools, BISM is a lightweight bytecode instrumentation tool for Java programs and BeepBeep is a complex event stream query engine. The repo also contains the examples analyses that we implemented and the experiments we conducted. The tool and experiments presented in this repository are discussed in the following publication: C. Soueidi, Y. Falcone, and S. Hallé. (2023). Dynamic Program Analysis with Flexible Instrumentation and Complex Event Processing. Proceedings of the 34th IEEE International Symposium on Software Reliability Engineering (ISSRE 2023). IEEE.",mds,True,findable,0,0,0,0,0,2023-08-21T23:14:32.000Z,2023-08-21T23:14:33.000Z,cern.zenodo,cern,"dynamic program analysis,instrumentation,JVM-based languages,complex event processing","[{'subject': 'dynamic program analysis'}, {'subject': 'instrumentation'}, {'subject': 'JVM-based languages'}, {'subject': 'complex event processing'}]",,
+10.5061/dryad.27qf3,Data from: Landscape-scale distribution patterns of earthworms inferred from soil DNA,Dryad,2016,en,Dataset,Creative Commons Zero v1.0 Universal,"Assessing land-use effect on the diversity of soil biota has long been hampered by difficulties in collecting and identifying soil organisms over large areas. Recently, environmental DNA-based approaches coupled with next-generation sequencing were developed to study soil biodiversity. Here, we optimized a protocol based on soil DNA to examine the effects of land-use on earthworm communities in a mountain landscape. This approach allowed an efficient detection of earthworm diversity and highlighted a significant land-use effect on the distribution patterns of earthworms that was not revealed by a classical survey. Our results show that the soil DNA-based earthworm survey at the landscape-scale improves over previous approaches, and opens a way towards large-scale assessment of soil biodiversity and its drivers.",mds,True,findable,329,48,1,2,0,2015-02-05T15:21:48.000Z,2015-02-05T15:21:49.000Z,dryad.dryad,dryad,"earthworm,Spatial distribution,Land-use,Soil biodiversity,Holocene","[{'subject': 'earthworm'}, {'subject': 'Spatial distribution'}, {'subject': 'Land-use'}, {'subject': 'Soil biodiversity'}, {'subject': 'Holocene'}]",['62066006 bytes'],
+10.17178/gnss.products.europe,GNSS position and velocity solutions in Europe,"CNRS, OSUG, ISTERRE",2019,en,Dataset,"License: CC BY-NC-ND 4.0,Data access and use are ruled by the OSUG data policy.,The following acknowledging sentence should appear in publications using ISTerre GNSS products: ""GNSS products are calculated and provided by the Institut of Sciences de la Terre (ISTerre), belonging to the Institut National des Sciences de l’Univers (INSU/CNRS) and the Observatoire des Sciences de l’Univers de Grenoble (OSUG / Université Grenoble Alpes)"".
+You are invited to contact the PI(s) or lead scientist for more information about the data and to include the acknowledgement sentence in any publication using the data.","This dataset includes all European GNSS solutions processed by ISTerre. These products are position time series (North, East and Vertical) and the horizontal and vertical velocity fields calculated from rinex files using the double difference method with GAMIT software.",mds,True,findable,0,0,1,0,0,2019-04-05T10:19:17.000Z,2019-04-05T10:19:18.000Z,inist.osug,jbru,"GNSS products,Velocity field,GNSS data analysis,Time serie positioning","[{'subject': 'GNSS products', 'subjectScheme': 'main'}, {'subject': 'Velocity field', 'subjectScheme': 'var'}, {'subject': 'GNSS data analysis', 'subjectScheme': 'var'}, {'subject': 'Time serie positioning', 'subjectScheme': 'var'}]",,"['pos', 'PBO']"
+10.5281/zenodo.10276481,Bathymetry of Bossons Lake of 26 June 2023,Zenodo,2023,,Dataset,Creative Commons Attribution 4.0 International,Bathymetry of the Bossons lake done the 26 June 2023. ,api,True,findable,0,0,0,0,0,2023-12-06T10:42:06.000Z,2023-12-06T10:42:07.000Z,cern.zenodo,cern,,,,
+10.18709/perscido.2023.06.ds395,The Tour Perret LoRaWAN frames dataset,PerSCiDO,2023,,Dataset,,"The dataset contains LoRaWAN frames sent by five LoRaWAN endpoints installed on the top of Tour Perret in Grenoble, France. It contains 421937 messages received between June 2021 and June 2023 (2 years) by LoRa gateways installed in the Grenoble area by the LIG.",api,True,findable,0,0,0,0,0,2023-06-28T11:23:03.000Z,2023-06-28T11:23:03.000Z,inist.persyval,vcob,"Information Technology,Computer Science","[{'subject': 'Information Technology', 'subjectScheme': 'http://www.radar-projekt.org/display/Information_Technology'}, {'subject': 'Computer Science', 'subjectScheme': 'http://www.radar-projekt.org/display/Computer_Science'}]",['100 Mo'],['JSON']
+10.48537/hal-03220269,"The Urban Spontaneous Beach, an Idle Ambiance in the Urban Space",Reseau International Ambiances,2020,en,Text,Creative Commons Attribution Non Commercial No Derivatives 2.0 Generic,"Often located on the water’s edge, “spontaneous urban beaches†are urban spaces where urbanites adopt beach behaviors without the space having been designed for that purpose. Such public spaces redefine the ordinary urban life and allows new sensitive experiences and new forms of body presence in the public urban space. They highlight the emergence of a new urbanity made of idleness, immobility and exposure. The aim of our research is to identify the spatio-tem- poral, climatic, sensitive, cultural, social and political conditions for the appearance of a beach situation that modifies the ambiance and the experience of the contemporary urban environment.",mds,True,findable,0,0,0,0,0,2021-06-17T09:44:01.000Z,2021-06-17T09:44:02.000Z,jbru.aau,jbru,"Urban Beach,Ambiance,Idleness,Public Space,Beach Situation","[{'lang': 'eng', 'subject': 'Urban Beach'}, {'lang': 'eng', 'subject': 'Ambiance'}, {'lang': 'eng', 'subject': 'Idleness'}, {'lang': 'eng', 'subject': 'Public Space'}, {'lang': 'eng', 'subject': 'Beach Situation'}]",['6 pages'],['application/pdf']
+10.5281/zenodo.4761293,"Figs. 6-7 in Two New Species Of Dictyogenus Klapálek, 1904 (Plecoptera: Perlodidae) From The Jura Mountains Of France And Switzerland, And From The French Vercors And Chartreuse Massifs",Zenodo,2019,,Image,"Creative Commons Attribution 4.0 International,Open Access","Figs. 6-7. Dictyogenus jurassicum sp. n., adult male. 6. Epiproct and lateral stylet, lateral view. Karstic spring at Charabotte Mill, Ain dpt, France. Photo B. Launay. 7. Posterior margin of sternite 7 with ventral vesicle, ventral view. Karstic spring at Charabotte Mill, Ain dpt, France. Photo J.-P.G. Reding.",mds,True,findable,0,0,6,0,0,2021-05-14T07:43:39.000Z,2021-05-14T07:43:40.000Z,cern.zenodo,cern,"Biodiversity,Taxonomy,Animalia,Arthropoda,Insecta,Plecoptera,Perlodidae,Dictyogenus","[{'subject': 'Biodiversity'}, {'subject': 'Taxonomy'}, {'subject': 'Animalia'}, {'subject': 'Arthropoda'}, {'subject': 'Insecta'}, {'subject': 'Plecoptera'}, {'subject': 'Perlodidae'}, {'subject': 'Dictyogenus'}]",,
+10.17178/emaa_hnc3_rotation_96dd18c8,Rotation excitation of HNC3 by ortho-H2 and para-H2 collisions,"UGA, CNRS, CNRS-INSU, OSUG",2021,en,Dataset,"Please acknowledge the use of EMAA Database by citing the original articles in which the data were published (BibTeX format available), and adding the following sentence in your publication:
+This research has made use of spectroscopic and collisional data from the EMAA database (https://emaa.osug.fr). EMAA is supported by the Observatoire des Sciences de l'Univers de Grenoble (OSUG),Creative Commons Attribution 4.0 International,Data access and use are ruled by the EMAA data policy.",31 rotation energy levels / 30 radiative transitions / 465 collisional transitions for para-H2 (10 temperatures in the range 5-80K) / 465 collisional transitions for ortho-H2 (10 temperatures in the range 5-80K),mds,True,findable,0,0,0,0,0,2021-11-17T14:01:09.000Z,2021-11-17T14:01:10.000Z,inist.osug,jbru,"target HNC3,excitationType Rotation,collisional excitation,collider.0 para-H2,collider.1 ortho-H2,astrophysics,interstellar medium,comets,circumstellar medium,gas,microwave spectroscopy,infrared spectroscopy,rotational excitation,rovibrational excitation,vibrational excitation,electronic excitation,collisional rate coefficients,fine structure,hyperfine structure","[{'subject': 'target HNC3', 'subjectScheme': 'main'}, {'subject': 'excitationType Rotation', 'subjectScheme': 'main'}, {'subject': 'collisional excitation', 'subjectScheme': 'main'}, {'subject': 'collider.0 para-H2', 'subjectScheme': 'var'}, {'subject': 'collider.1 ortho-H2', 'subjectScheme': 'var'}, {'subject': 'astrophysics', 'subjectScheme': 'var'}, {'subject': 'interstellar medium', 'subjectScheme': 'var'}, {'subject': 'comets', 'subjectScheme': 'var'}, {'subject': 'circumstellar medium', 'subjectScheme': 'var'}, {'subject': 'gas', 'subjectScheme': 'var'}, {'subject': 'microwave spectroscopy', 'subjectScheme': 'var'}, {'subject': 'infrared spectroscopy', 'subjectScheme': 'var'}, {'subject': 'rotational excitation', 'subjectScheme': 'var'}, {'subject': 'rovibrational excitation', 'subjectScheme': 'var'}, {'subject': 'vibrational excitation', 'subjectScheme': 'var'}, {'subject': 'electronic excitation', 'subjectScheme': 'var'}, {'subject': 'collisional rate coefficients', 'subjectScheme': 'var'}, {'subject': 'fine structure', 'subjectScheme': 'var'}, {'subject': 'hyperfine structure', 'subjectScheme': 'var'}]",,['Radex']
+10.17178/emaa_para-h2(34s)_rotation_52d67276,Rotation excitation of para-H2[34S] by ortho-H2 and para-H2 collisions,"UGA, CNRS, CNRS-INSU, OSUG",2022,en,Dataset,"Please acknowledge the use of EMAA Database by citing the original articles in which the data were published (BibTeX format available), and adding the following sentence in your publication:
+This research has made use of spectroscopic and collisional data from the EMAA database (https://emaa.osug.fr). EMAA is supported by the Observatoire des Sciences de l'Univers de Grenoble (OSUG),Creative Commons Attribution 4.0 International,Data access and use are ruled by the EMAA data policy.",19 rotation energy levels / 44 radiative transitions / 171 collisional transitions for ortho-H2 (10 temperatures in the range 5-500K) / 171 collisional transitions for para-H2 (10 temperatures in the range 5-500K),mds,True,findable,0,0,0,0,0,2023-12-07T15:52:12.000Z,2023-12-07T15:52:13.000Z,inist.osug,jbru,"target para-H2[34S],excitationType Rotation,collisional excitation,collider.0 ortho-H2,collider.1 para-H2,astrophysics,interstellar medium,comets,circumstellar medium,gas,microwave spectroscopy,infrared spectroscopy,rotational excitation,rovibrational excitation,vibrational excitation,electronic excitation,collisional rate coefficients,fine structure,hyperfine structure","[{'subject': 'target para-H2[34S]', 'subjectScheme': 'main'}, {'subject': 'excitationType Rotation', 'subjectScheme': 'main'}, {'subject': 'collisional excitation', 'subjectScheme': 'main'}, {'subject': 'collider.0 ortho-H2', 'subjectScheme': 'var'}, {'subject': 'collider.1 para-H2', 'subjectScheme': 'var'}, {'subject': 'astrophysics', 'subjectScheme': 'var'}, {'subject': 'interstellar medium', 'subjectScheme': 'var'}, {'subject': 'comets', 'subjectScheme': 'var'}, {'subject': 'circumstellar medium', 'subjectScheme': 'var'}, {'subject': 'gas', 'subjectScheme': 'var'}, {'subject': 'microwave spectroscopy', 'subjectScheme': 'var'}, {'subject': 'infrared spectroscopy', 'subjectScheme': 'var'}, {'subject': 'rotational excitation', 'subjectScheme': 'var'}, {'subject': 'rovibrational excitation', 'subjectScheme': 'var'}, {'subject': 'vibrational excitation', 'subjectScheme': 'var'}, {'subject': 'electronic excitation', 'subjectScheme': 'var'}, {'subject': 'collisional rate coefficients', 'subjectScheme': 'var'}, {'subject': 'fine structure', 'subjectScheme': 'var'}, {'subject': 'hyperfine structure', 'subjectScheme': 'var'}]",,['Radex']
+10.5281/zenodo.4759511,"Figs. 65-66 in Contribution To The Knowledge Of The Protonemura Corsicana Species Group, With A Revision Of The North African Species Of The P. Talboti Subgroup (Plecoptera: Nemouridae)",Zenodo,2009,,Image,"Creative Commons Attribution 4.0 International,Open Access",Figs. 65-66. Habitus of the micropterous form of Protonemura dakkii sp. n. 65: male imago; 66: not matured larva (scale 1 mm).,mds,True,findable,0,0,2,0,0,2021-05-14T02:27:13.000Z,2021-05-14T02:27:14.000Z,cern.zenodo,cern,"Biodiversity,Taxonomy,Animalia,Arthropoda,Insecta,Plecoptera,Nemouridae,Protonemura","[{'subject': 'Biodiversity'}, {'subject': 'Taxonomy'}, {'subject': 'Animalia'}, {'subject': 'Arthropoda'}, {'subject': 'Insecta'}, {'subject': 'Plecoptera'}, {'subject': 'Nemouridae'}, {'subject': 'Protonemura'}]",,
+10.18709/perscido.2023.06.ds392,"The optical shape of natural snow computed with a ray-tracing model. Data from Robledano et al.: Unraveling the optical shape of snow, 2023.",PerSCiDO,2023,,Dataset,,"This dataset contains the simulation results computed with the RSRT model over natural snow samples.
+
+It contains all the (B, gG) optical shape parameters results for 33 snow samples over the 400 - 1400 nm wavelength range, as well as other relevant results and the codes needed to reproduce the figures in the associated paper: ""Robledano, A., Picard, G., Dumont, M., Flin, F., Arnaud, L., and Libois, Q.: Unraveling the optical shape of snow, Nat. Comm., 2023"".
+
+It contains as well the generated geometric shapes (spheres, cubes and a convex shape) used in the associated paper.",api,True,findable,0,0,0,0,0,2023-06-14T10:02:57.000Z,2023-06-14T10:02:57.000Z,inist.persyval,vcob,"Physics,glaciology,Materials Science,Mathematics,FOS: Mathematics,Environmental Science and Ecology","[{'subject': 'Physics', 'subjectScheme': 'http://www.radar-projekt.org/display/Physics'}, {'subject': 'glaciology', 'subjectScheme': 'https://perscido.univ-grenoble-alpes.fr/glaciology'}, {'subject': 'Materials Science', 'subjectScheme': 'http://www.radar-projekt.org/display/Materials_Science'}, {'subject': 'Mathematics', 'subjectScheme': 'http://www.radar-projekt.org/display/Mathematics'}, {'subject': 'FOS: Mathematics', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Environmental Science and Ecology', 'subjectScheme': 'http://www.radar-projekt.org/display/Environmental_Science_and_Ecology'}]",['500 Mo'],"['CSV', '']"
+10.5281/zenodo.10400475,Supplementary Data to journal publication on 'The Foundations of the Patagonian Icefields',Zenodo,2023,en,Dataset,Creative Commons Attribution 4.0 International,Partitioning and comparison of ice discharge estimates from the the Patagonian Icefields comprising associated uncertainties. For further details please refer to the notes in the individual files and/or consult the associated publication entitled 'The Foundations of the Patagonian Icefields' published in Communications Earth & Environment.,api,True,findable,0,0,0,0,0,2023-12-18T09:11:13.000Z,2023-12-18T09:11:13.000Z,cern.zenodo,cern,"Patagonia,icefield,discharge,thickness","[{'subject': 'Patagonia'}, {'subject': 'icefield'}, {'subject': 'discharge'}, {'subject': 'thickness'}]",,
+10.17178/emaa_a-ch3(18o)h_rotation_c65648f1,Rotation excitation of A-CH3[18O]H by ortho-H2 and para-H2 collisions,"UGA, CNRS, CNRS-INSU, OSUG",2023,en,Dataset,"Please acknowledge the use of EMAA Database by citing the original articles in which the data were published (BibTeX format available), and adding the following sentence in your publication:
+This research has made use of spectroscopic and collisional data from the EMAA database (https://emaa.osug.fr). EMAA is supported by the Observatoire des Sciences de l'Univers de Grenoble (OSUG),Creative Commons Attribution 4.0 International,Data access and use are ruled by the EMAA data policy.",25 rotation energy levels / 73 radiative transitions / 291 collisional transitions for para-H2 (20 temperatures in the range 10-200K) / 300 collisional transitions for ortho-H2 (20 temperatures in the range 10-200K),mds,True,findable,0,0,0,0,0,2023-12-07T15:50:32.000Z,2023-12-07T15:50:32.000Z,inist.osug,jbru,"target A-CH3[18O]H,excitationType Rotation,collisional excitation,collider.0 para-H2,collider.1 ortho-H2,astrophysics,interstellar medium,comets,circumstellar medium,gas,microwave spectroscopy,infrared spectroscopy,rotational excitation,rovibrational excitation,vibrational excitation,electronic excitation,collisional rate coefficients,fine structure,hyperfine structure","[{'subject': 'target A-CH3[18O]H', 'subjectScheme': 'main'}, {'subject': 'excitationType Rotation', 'subjectScheme': 'main'}, {'subject': 'collisional excitation', 'subjectScheme': 'main'}, {'subject': 'collider.0 para-H2', 'subjectScheme': 'var'}, {'subject': 'collider.1 ortho-H2', 'subjectScheme': 'var'}, {'subject': 'astrophysics', 'subjectScheme': 'var'}, {'subject': 'interstellar medium', 'subjectScheme': 'var'}, {'subject': 'comets', 'subjectScheme': 'var'}, {'subject': 'circumstellar medium', 'subjectScheme': 'var'}, {'subject': 'gas', 'subjectScheme': 'var'}, {'subject': 'microwave spectroscopy', 'subjectScheme': 'var'}, {'subject': 'infrared spectroscopy', 'subjectScheme': 'var'}, {'subject': 'rotational excitation', 'subjectScheme': 'var'}, {'subject': 'rovibrational excitation', 'subjectScheme': 'var'}, {'subject': 'vibrational excitation', 'subjectScheme': 'var'}, {'subject': 'electronic excitation', 'subjectScheme': 'var'}, {'subject': 'collisional rate coefficients', 'subjectScheme': 'var'}, {'subject': 'fine structure', 'subjectScheme': 'var'}, {'subject': 'hyperfine structure', 'subjectScheme': 'var'}]",,['Radex']
+10.17178/amma-catch.ce.run_ncw,"Surface water dataset (river discharge), within the Wankama watershed (1 km2), Niger","IRD, CNRS-INSU, OSUG, OMP, OREME",2004,en,Dataset,"Creative Commons Attribution 4.0 International,Data access and use are ruled by the AMMA-CATCH data policy.,For any publication using AMMA-CATCH data, authors are asked to:
Mandatory: cite the reference article and the DOI of the observatory
@@ -3568,9 +3020,14 @@ Mandatory: cite the reference article and the DOI of the observatory
Optional: cite the DOI of each dataset used.
-Co-authorship: depending on the contribution of the data to the scientific results obtained, the authors should either propose co-authorship to the data providers or at least acknowledge their contribution.","Documentation of daily rainfall in Northern Sahel. The aim is to characterize the temporal and spatial variability within the Hombori super-site. Data will be used in modelling and assimilation activities, as well as for validation of satellite products. The synoptic meteorological Hombori station has stopped to operate since 2011.",mds,True,findable,0,0,1,0,0,2018-03-16T15:37:12.000Z,2018-03-16T15:37:12.000Z,inist.osug,jbru,"Daily rainfall, precipitation, tropical convection,Sahelian/Saharan climate,Precipitation Amount","[{'subject': 'Daily rainfall, precipitation, tropical convection', 'subjectScheme': 'main'}, {'subject': 'Sahelian/Saharan climate', 'subjectScheme': 'main'}, {'subject': 'Precipitation Amount', 'subjectScheme': 'var'}]",,"['CSV', 'NETCDF', 'O&M 1.0']"
-10.17178/ohmcv.dsd.val.12-16.1,"DSD network, Valescure",CNRS - OSUG - OREME,2012,en,Dataset,"Data access and use are ruled by the OHMCV data policy.,The following acknowledging sentence should appear in publications using OHMCV data and products: ""OHMCV is funded by the Institut National des Sciences de l’Univers (INSU/CNRS) and the Observatoire des Sciences de l’Univers de Grenoble (OSUG / Université Grenoble Alpes)â€.",This dataset is part of the Cevennesâ€Vivarais Mediterranean Hydrometeorological Observatory (OHMCV),mds,True,findable,0,0,1,0,0,2017-10-17T13:24:22.000Z,2017-10-17T13:24:22.000Z,inist.osug,jbru,"Atmospheric conditions,Precipitation Rate,Droplet Size,DISDROMETERS,Ground networks,Hydrometeorological sites,Fixed Observation Stations","[{'subject': 'Atmospheric conditions', 'subjectScheme': 'main'}, {'subject': 'Precipitation Rate', 'subjectScheme': 'main'}, {'subject': 'Droplet Size', 'subjectScheme': 'main'}, {'subject': 'DISDROMETERS', 'subjectScheme': 'main'}, {'subject': 'Ground networks', 'subjectScheme': 'main'}, {'subject': 'Hydrometeorological sites', 'subjectScheme': 'main'}, {'subject': 'Fixed Observation Stations', 'subjectScheme': 'main'}]",,['NETCDF']
-10.17178/amma-catch.cl.run_o,"Surface water dataset (river discharge), within the upper Oueme watershed (14 000 km2 ), Benin","IRD, CNRS-INSU, OSUG, OMP, OREME",1996,en,Dataset,"Creative Commons Attribution 4.0 International,Data access and use are ruled by the AMMA-CATCH data policy.,For any publication using AMMA-CATCH data, authors are asked to:
+Co-authorship: depending on the contribution of the data to the scientific results obtained, the authors should either propose co-authorship to the data providers or at least acknowledge their contribution.","Documentating of water levels in the koris (temporary creeks), in order to control the runoff in the catchments. Devices are disposed on the same creek to determine possible infiltration areas in their bed.",mds,True,findable,0,0,1,0,0,2018-03-16T15:37:01.000Z,2018-03-16T15:37:01.000Z,inist.osug,jbru,"Discharge,Sahelian climate,Discharge/Flow","[{'subject': 'Discharge', 'subjectScheme': 'main'}, {'subject': 'Sahelian climate', 'subjectScheme': 'main'}, {'subject': 'Discharge/Flow', 'subjectScheme': 'var'}]",,"['CSV', 'NETCDF', 'O&M 1.0']"
+10.17178/emaa_h(13c)o-plus_rotation_326f961f,"Rotation excitation of H[13C]O+ by electron, ortho-H2 and para-H2 collisions","UGA, CNRS, CNRS-INSU, OSUG",2021,en,Dataset,"Please acknowledge the use of EMAA Database by citing the original articles in which the data were published (BibTeX format available), and adding the following sentence in your publication:
+This research has made use of spectroscopic and collisional data from the EMAA database (https://emaa.osug.fr). EMAA is supported by the Observatoire des Sciences de l'Univers de Grenoble (OSUG),Creative Commons Attribution 4.0 International,Data access and use are ruled by the EMAA data policy.",22 rotation energy levels / 21 radiative transitions / 132 collisional transitions for electron (12 temperatures in the range 10-1000K) / 231 collisional transitions for ortho-H2 (9 temperatures in the range 10-200K) / 231 collisional transitions for para-H2 (9 temperatures in the range 10-200K),mds,True,findable,0,0,0,0,0,2021-11-18T13:34:52.000Z,2021-11-18T13:34:53.000Z,inist.osug,jbru,"target H[13C]O+,excitationType Rotation,collisional excitation,collider.0 electron,collider.1 ortho-H2,collider.2 para-H2,astrophysics,interstellar medium,comets,circumstellar medium,gas,microwave spectroscopy,infrared spectroscopy,rotational excitation,rovibrational excitation,vibrational excitation,electronic excitation,collisional rate coefficients,fine structure,hyperfine structure","[{'subject': 'target H[13C]O+', 'subjectScheme': 'main'}, {'subject': 'excitationType Rotation', 'subjectScheme': 'main'}, {'subject': 'collisional excitation', 'subjectScheme': 'main'}, {'subject': 'collider.0 electron', 'subjectScheme': 'var'}, {'subject': 'collider.1 ortho-H2', 'subjectScheme': 'var'}, {'subject': 'collider.2 para-H2', 'subjectScheme': 'var'}, {'subject': 'astrophysics', 'subjectScheme': 'var'}, {'subject': 'interstellar medium', 'subjectScheme': 'var'}, {'subject': 'comets', 'subjectScheme': 'var'}, {'subject': 'circumstellar medium', 'subjectScheme': 'var'}, {'subject': 'gas', 'subjectScheme': 'var'}, {'subject': 'microwave spectroscopy', 'subjectScheme': 'var'}, {'subject': 'infrared spectroscopy', 'subjectScheme': 'var'}, {'subject': 'rotational excitation', 'subjectScheme': 'var'}, {'subject': 'rovibrational excitation', 'subjectScheme': 'var'}, {'subject': 'vibrational excitation', 'subjectScheme': 'var'}, {'subject': 'electronic excitation', 'subjectScheme': 'var'}, {'subject': 'collisional rate coefficients', 'subjectScheme': 'var'}, {'subject': 'fine structure', 'subjectScheme': 'var'}, {'subject': 'hyperfine structure', 'subjectScheme': 'var'}]",,['Radex']
+10.18709/mp70-ey27,Benchmark MODECOGeL,PerSciDo,2019,en,Dataset,,A global sensitivity analysis approach for marine biogeochemical modeling,fabrica,True,findable,0,0,0,0,0,2019-10-18T12:34:34.000Z,2019-10-18T12:34:34.000Z,inist.persyval,vcob,"Computer Science,Mathematics,FOS: Mathematics,FOS: Mathematics,Biochemistry","[{'lang': 'en', 'subject': 'Computer Science'}, {'lang': 'en', 'subject': 'Mathematics'}, {'subject': 'FOS: Mathematics', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'FOS: Mathematics', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'lang': 'en', 'subject': 'Biochemistry'}]",['6.1 GB'],['zip']
+10.48537/hal-03220380,"Atmospheres of Transformation, Language, Identity and the Liturgical Experience of a Transborder Orthodox Community",Reseau International Ambiances,2020,en,Text,Creative Commons Attribution Non Commercial No Derivatives 2.0 Generic,"The paper explores the role of language in the constitution of religious atmo- spheres with special emphasis on architectural experience of a multi-national transborder Eastern Orthodox Community based in Edinburgh. Due to its performative and communicative dynamics, language plays an important role in the activities held in a religious place. The performative activation of religious texts through ritual choreographies, reading in different ways, singing and instru- mental music is one of the defining spatio- temporal components of sacred architecture. In the examined case, the aurality of the text contributes to the emergence of a shared identity of moving populations having to settle at a new land based on a process of parallel or overlapping transformations.",mds,True,findable,0,0,0,0,0,2021-06-17T16:48:03.000Z,2021-06-17T16:48:03.000Z,jbru.aau,jbru,"Language,Religious Place,Atmosphere","[{'lang': 'eng', 'subject': 'Language'}, {'lang': 'eng', 'subject': 'Religious Place'}, {'lang': 'eng', 'subject': 'Atmosphere'}]",['6 pages'],['application/pdf']
+10.17178/emaa_ortho-h2co_hyperfine_4628f093,Hyperfine excitation of ortho-H2CO by para-H2 collisions,"UGA, CNRS, CNRS-INSU, OSUG",2019,en,Dataset,"Please acknowledge the use of EMAA Database by citing the original articles in which the data were published (BibTeX format available), and adding the following sentence in your publication:
+This research has made use of spectroscopic and collisional data from the EMAA database (https://emaa.osug.fr). EMAA is supported by the Observatoire des Sciences de l'Univers de Grenoble (OSUG),Creative Commons Attribution 4.0 International,Data access and use are ruled by the EMAA data policy.",27 hyperfine energy levels / 69 radiative transitions / 324 collisional transitions for para-H2 (10 temperatures in the range 10-100K),mds,True,findable,0,0,0,0,0,2021-11-17T14:01:31.000Z,2021-11-17T14:01:32.000Z,inist.osug,jbru,"target ortho-H2CO,excitationType Hyperfine,collisional excitation,collider.0 para-H2,astrophysics,interstellar medium,comets,circumstellar medium,gas,microwave spectroscopy,infrared spectroscopy,rotational excitation,rovibrational excitation,vibrational excitation,electronic excitation,collisional rate coefficients,fine structure,hyperfine structure","[{'subject': 'target ortho-H2CO', 'subjectScheme': 'main'}, {'subject': 'excitationType Hyperfine', 'subjectScheme': 'main'}, {'subject': 'collisional excitation', 'subjectScheme': 'main'}, {'subject': 'collider.0 para-H2', 'subjectScheme': 'var'}, {'subject': 'astrophysics', 'subjectScheme': 'var'}, {'subject': 'interstellar medium', 'subjectScheme': 'var'}, {'subject': 'comets', 'subjectScheme': 'var'}, {'subject': 'circumstellar medium', 'subjectScheme': 'var'}, {'subject': 'gas', 'subjectScheme': 'var'}, {'subject': 'microwave spectroscopy', 'subjectScheme': 'var'}, {'subject': 'infrared spectroscopy', 'subjectScheme': 'var'}, {'subject': 'rotational excitation', 'subjectScheme': 'var'}, {'subject': 'rovibrational excitation', 'subjectScheme': 'var'}, {'subject': 'vibrational excitation', 'subjectScheme': 'var'}, {'subject': 'electronic excitation', 'subjectScheme': 'var'}, {'subject': 'collisional rate coefficients', 'subjectScheme': 'var'}, {'subject': 'fine structure', 'subjectScheme': 'var'}, {'subject': 'hyperfine structure', 'subjectScheme': 'var'}]",,['Radex']
+10.17178/amma-catch.cl.vegherb_g,"Vegetation dataset (interannual dynamics of herbaceous vegetation), within the Gourma site (30 000 km2), Mali","IRD, CNRS-INSU, OSUG, OMP, OREME",2005,en,Dataset,"Creative Commons Attribution 4.0 International,Data access and use are ruled by the AMMA-CATCH data policy.,For any publication using AMMA-CATCH data, authors are asked to:
Mandatory: cite the reference article and the DOI of the observatory
@@ -3579,19 +3036,59 @@ Mandatory: cite the reference article and the DOI of the observatory
Optional: cite the DOI of each dataset used.
-Co-authorship: depending on the contribution of the data to the scientific results obtained, the authors should either propose co-authorship to the data providers or at least acknowledge their contribution.","Long-term measurements (LOP) of river discharge and electrical conductivity of water on the sub-basins of the Upper Oueme. Allow to relate runoff fluctuation to rainfall variability. The electrical conductivity of river water is an integrative measure that allows documentation of the origin of waters (rainfall, surface and sub-surface runoff, watertable drainage). Associated to the chemical characterization of water (CE.Wchem_O), these data give insight into process of runoff generation, allow to compute water balance components and constitute validation datasets for hydrological models.",mds,True,findable,0,0,1,0,0,2018-03-16T15:37:17.000Z,2018-03-16T15:37:17.000Z,inist.osug,jbru,"Discharge,Sudanian climate,Discharge/Flow (hourly),Discharge/Flow (daily average),Discharge/Flow Upper Boundary Of Uncertainty Interval (hourly),Discharge/Flow Lower Boundary Of Uncertainty Interval (hourly),Discharge/Flow Upper Boundary Of Uncertainty Interval (daily average),Discharge/Flow Lower Boundary Of Uncertainty Interval (daily average)","[{'subject': 'Discharge', 'subjectScheme': 'main'}, {'subject': 'Sudanian climate', 'subjectScheme': 'main'}, {'subject': 'Discharge/Flow (hourly)', 'subjectScheme': 'var'}, {'subject': 'Discharge/Flow (daily average)', 'subjectScheme': 'var'}, {'subject': 'Discharge/Flow Upper Boundary Of Uncertainty Interval (hourly)', 'subjectScheme': 'var'}, {'subject': 'Discharge/Flow Lower Boundary Of Uncertainty Interval (hourly)', 'subjectScheme': 'var'}, {'subject': 'Discharge/Flow Upper Boundary Of Uncertainty Interval (daily average)', 'subjectScheme': 'var'}, {'subject': 'Discharge/Flow Lower Boundary Of Uncertainty Interval (daily average)', 'subjectScheme': 'var'}]",,"['CSV', 'NETCDF', 'O&M 1.0']"
-10.17178/zaa_soil_temp.bioclim,Long term monitoring of near surface soil temperature in the french Alps,UGA – OSUG – CNRS,2021,en,Dataset,"Creative Commons Attribution 4.0 International,For any publication using ZAA data, depending on the contribution of the data to the scientific results obtained, data users should either propose co-authorship to the data providers (doi Project leaders) or at least acknowledge their contribution.
-The acknowledging sentence which should appear in publications using ZAA temp-soil data and products is in the readme file joint with the dataset","Monitoring of near-surface soil temperature in seasonaly snow-covered, mountain ecosystems located in the Lautaret-Galibier area of the French Alps. Data are part of a long-term monitoring programs examining the impact of climate change on snow cover dynamics, microclimate, species distribution and ecosystem functioning. Data include a GPS position, a date and time in UTC and a near-surface soil temperature (in °C) measured at 5 cm belowground using stand-alone temperature data logger.",mds,True,findable,0,0,0,0,0,2021-07-13T13:43:33.000Z,2021-07-13T13:43:34.000Z,inist.osug,jbru,"microclimate,mountain climate,long-term monitoring,soil,root zone,cold zone ecosystem,soil temperature","[{'subject': 'microclimate', 'subjectScheme': 'main'}, {'subject': 'mountain climate', 'subjectScheme': 'main'}, {'subject': 'long-term monitoring', 'subjectScheme': 'main'}, {'subject': 'soil', 'subjectScheme': 'main'}, {'subject': 'root zone', 'subjectScheme': 'main'}, {'subject': 'cold zone ecosystem', 'subjectScheme': 'main'}, {'subject': 'soil temperature', 'subjectScheme': 'var'}]",,['CSV']
-10.17178/emaa_dco-plus_rotation_0e47c7b0,Rotation excitation of DCO+ by electron and para-H2 collisions,"UGA, CNRS, CNRS-INSU, OSUG",2021,en,Dataset,"Please acknowledge the use of EMAA Database by citing the original articles in which the data were published (BibTeX format available), and adding the following sentence in your publication:
-This research has made use of spectroscopic and collisional data from the EMAA database (https://emaa.osug.fr). EMAA is supported by the Observatoire des Sciences de l'Univers de Grenoble (OSUG),Creative Commons Attribution 4.0 International,Data access and use are ruled by the EMAA data policy.",22 rotation energy levels / 21 radiative transitions / 231 collisional transitions for para-H2 (9 temperatures in the range 10-200K) / 132 collisional transitions for electron (12 temperatures in the range 10-1000K),mds,True,findable,0,0,0,0,0,2021-11-18T13:34:46.000Z,2021-11-18T13:34:47.000Z,inist.osug,jbru,"target DCO+,excitationType Rotation,collisional excitation,collider.0 para-H2,collider.1 electron,astrophysics,interstellar medium,comets,circumstellar medium,gas,microwave spectroscopy,infrared spectroscopy,rotational excitation,rovibrational excitation,vibrational excitation,electronic excitation,collisional rate coefficients,fine structure,hyperfine structure","[{'subject': 'target DCO+', 'subjectScheme': 'main'}, {'subject': 'excitationType Rotation', 'subjectScheme': 'main'}, {'subject': 'collisional excitation', 'subjectScheme': 'main'}, {'subject': 'collider.0 para-H2', 'subjectScheme': 'var'}, {'subject': 'collider.1 electron', 'subjectScheme': 'var'}, {'subject': 'astrophysics', 'subjectScheme': 'var'}, {'subject': 'interstellar medium', 'subjectScheme': 'var'}, {'subject': 'comets', 'subjectScheme': 'var'}, {'subject': 'circumstellar medium', 'subjectScheme': 'var'}, {'subject': 'gas', 'subjectScheme': 'var'}, {'subject': 'microwave spectroscopy', 'subjectScheme': 'var'}, {'subject': 'infrared spectroscopy', 'subjectScheme': 'var'}, {'subject': 'rotational excitation', 'subjectScheme': 'var'}, {'subject': 'rovibrational excitation', 'subjectScheme': 'var'}, {'subject': 'vibrational excitation', 'subjectScheme': 'var'}, {'subject': 'electronic excitation', 'subjectScheme': 'var'}, {'subject': 'collisional rate coefficients', 'subjectScheme': 'var'}, {'subject': 'fine structure', 'subjectScheme': 'var'}, {'subject': 'hyperfine structure', 'subjectScheme': 'var'}]",,['Radex']
-10.17178/gnss.products.southamerica_gipsyx.daily,Metadata and GNSS daily position solutions for permanent GNSS stations in South America,"CNRS, OSUG, ISTERRE",2023,en,Dataset,"License: CC BY-NC-ND 4.0,Data access and use are ruled by the OSUG data policy.,The following acknowledging sentence should appear in publications using ISTerre GNSS products: ""GNSS products are calculated and provided by the Institut of Sciences de la Terre (ISTerre), belonging to the Institut National des Sciences de l’Univers (INSU/CNRS) and the Observatoire des Sciences de l’Univers de Grenoble (OSUG / Université Grenoble Alpes)"".
-You are invited to contact the PI(s) or lead scientist for more information about the data and to include the acknowledgement sentence in any publication using the data.","This dataset includes metadata, as well as daily position solutions for a large number (>700) of permanent GNSS stations in South America. These data were processed by ISTerre in the frame of the DEEP-trigger project. The products are daily position time series (North, East and Vertical), in the ITRF14 reference frame, calculated from RINEX files using the PPP strategy with GIPSYX software.",mds,True,findable,0,0,0,0,0,2023-04-08T13:17:57.000Z,2023-04-08T13:18:03.000Z,inist.osug,jbru,"GNSS products,GNSS data analysis,Time serie positioning","[{'subject': 'GNSS products', 'subjectScheme': 'main'}, {'subject': 'GNSS data analysis', 'subjectScheme': 'var'}, {'subject': 'Time serie positioning', 'subjectScheme': 'var'}]",,"['pos', 'PBO']"
-10.17178/emaa_(13c)ch_hyperfine_b78c5723,Hyperfine excitation of [13C]CH by para-H2 collisions,"UGA, CNRS, CNRS-INSU, OSUG",2023,en,Dataset,"Please acknowledge the use of EMAA Database by citing the original articles in which the data were published (BibTeX format available), and adding the following sentence in your publication:
-This research has made use of spectroscopic and collisional data from the EMAA database (https://emaa.osug.fr). EMAA is supported by the Observatoire des Sciences de l'Univers de Grenoble (OSUG),Creative Commons Attribution 4.0 International,Data access and use are ruled by the EMAA data policy.",98 hyperfine energy levels / 128 radiative transitions / 4752 collisional transitions for para-H2 (20 temperatures in the range 5-100K),mds,True,findable,0,0,0,0,0,2023-12-07T15:50:20.000Z,2023-12-07T15:50:21.000Z,inist.osug,jbru,"target [13C]CH,excitationType Hyperfine,collisional excitation,collider.0 para-H2,astrophysics,interstellar medium,comets,circumstellar medium,gas,microwave spectroscopy,infrared spectroscopy,rotational excitation,rovibrational excitation,vibrational excitation,electronic excitation,collisional rate coefficients,fine structure,hyperfine structure","[{'subject': 'target [13C]CH', 'subjectScheme': 'main'}, {'subject': 'excitationType Hyperfine', 'subjectScheme': 'main'}, {'subject': 'collisional excitation', 'subjectScheme': 'main'}, {'subject': 'collider.0 para-H2', 'subjectScheme': 'var'}, {'subject': 'astrophysics', 'subjectScheme': 'var'}, {'subject': 'interstellar medium', 'subjectScheme': 'var'}, {'subject': 'comets', 'subjectScheme': 'var'}, {'subject': 'circumstellar medium', 'subjectScheme': 'var'}, {'subject': 'gas', 'subjectScheme': 'var'}, {'subject': 'microwave spectroscopy', 'subjectScheme': 'var'}, {'subject': 'infrared spectroscopy', 'subjectScheme': 'var'}, {'subject': 'rotational excitation', 'subjectScheme': 'var'}, {'subject': 'rovibrational excitation', 'subjectScheme': 'var'}, {'subject': 'vibrational excitation', 'subjectScheme': 'var'}, {'subject': 'electronic excitation', 'subjectScheme': 'var'}, {'subject': 'collisional rate coefficients', 'subjectScheme': 'var'}, {'subject': 'fine structure', 'subjectScheme': 'var'}, {'subject': 'hyperfine structure', 'subjectScheme': 'var'}]",,['Radex']
-10.17178/emaa_ortho-nh2d_rotation_4f72e13c,Rotation excitation of ortho-NH2D by ortho-H2 and para-H2 collisions,"UGA, CNRS, CNRS-INSU, OSUG",2021,en,Dataset,"Please acknowledge the use of EMAA Database by citing the original articles in which the data were published (BibTeX format available), and adding the following sentence in your publication:
-This research has made use of spectroscopic and collisional data from the EMAA database (https://emaa.osug.fr). EMAA is supported by the Observatoire des Sciences de l'Univers de Grenoble (OSUG),Creative Commons Attribution 4.0 International,Data access and use are ruled by the EMAA data policy.",79 rotation energy levels / 466 radiative transitions / 3081 collisional transitions for para-H2 (13 temperatures in the range 5-300K) / 3081 collisional transitions for ortho-H2 (13 temperatures in the range 5-300K),mds,True,findable,0,0,0,0,0,2021-11-17T14:01:47.000Z,2021-11-17T14:01:47.000Z,inist.osug,jbru,"target ortho-NH2D,excitationType Rotation,collisional excitation,collider.0 para-H2,collider.1 ortho-H2,astrophysics,interstellar medium,comets,circumstellar medium,gas,microwave spectroscopy,infrared spectroscopy,rotational excitation,rovibrational excitation,vibrational excitation,electronic excitation,collisional rate coefficients,fine structure,hyperfine structure","[{'subject': 'target ortho-NH2D', 'subjectScheme': 'main'}, {'subject': 'excitationType Rotation', 'subjectScheme': 'main'}, {'subject': 'collisional excitation', 'subjectScheme': 'main'}, {'subject': 'collider.0 para-H2', 'subjectScheme': 'var'}, {'subject': 'collider.1 ortho-H2', 'subjectScheme': 'var'}, {'subject': 'astrophysics', 'subjectScheme': 'var'}, {'subject': 'interstellar medium', 'subjectScheme': 'var'}, {'subject': 'comets', 'subjectScheme': 'var'}, {'subject': 'circumstellar medium', 'subjectScheme': 'var'}, {'subject': 'gas', 'subjectScheme': 'var'}, {'subject': 'microwave spectroscopy', 'subjectScheme': 'var'}, {'subject': 'infrared spectroscopy', 'subjectScheme': 'var'}, {'subject': 'rotational excitation', 'subjectScheme': 'var'}, {'subject': 'rovibrational excitation', 'subjectScheme': 'var'}, {'subject': 'vibrational excitation', 'subjectScheme': 'var'}, {'subject': 'electronic excitation', 'subjectScheme': 'var'}, {'subject': 'collisional rate coefficients', 'subjectScheme': 'var'}, {'subject': 'fine structure', 'subjectScheme': 'var'}, {'subject': 'hyperfine structure', 'subjectScheme': 'var'}]",,['Radex']
-10.17178/ohmcv.rts.auz.10-14.1,Hpiconet rain gauge network,CNRS - OSUG - OREME,2010,en,Dataset,"Data access and use are ruled by the OHMCV data policy.,The following acknowledging sentence should appear in publications using OHMCV data and products: ""OHMCV is funded by the Institut National des Sciences de l’Univers (INSU/CNRS) and the Observatoire des Sciences de l’Univers de Grenoble (OSUG / Université Grenoble Alpes)â€.",A report of the raingauge survey is available in the file tournee_etat_stations.xlsx A interactive software based on R allows to interactively plot and extract the data to the EXCEL format. (http://www.ohmcv.fr/plot_hpiconet_series.zip),mds,True,findable,0,0,1,0,0,2017-03-10T17:09:29.000Z,2017-03-10T17:09:29.000Z,inist.osug,jbru,"Atmospheric conditions,Precipitation Amount,RAIN GAUGES","[{'subject': 'Atmospheric conditions', 'subjectScheme': 'main'}, {'subject': 'Precipitation Amount', 'subjectScheme': 'main'}, {'subject': 'RAIN GAUGES', 'subjectScheme': 'main'}]",,"['CSV', 'ESRI Grid', 'NETCDF']"
-10.17178/amma-catch.ce.veg_gh,"Vegetation dataset (seasonal dynamics of herbaceous vegetation), within the Hombori site (2500 km2), Mali","IRD, CNRS-INSU, OSUG, OMP, OREME",2005,en,Dataset,"Creative Commons Attribution 4.0 International,Data access and use are ruled by the AMMA-CATCH data policy.,For any publication using AMMA-CATCH data, authors are asked to:
+Co-authorship: depending on the contribution of the data to the scientific results obtained, the authors should either propose co-authorship to the data providers or at least acknowledge their contribution.",Monitor the inter-annual dynamics of herbaceous productivity (maximum aboveground mass) in relation with climate and land use practice. A network of reading rain gauges (since 2005) are associated to the vegetation sites.,mds,True,findable,0,0,1,0,0,2018-03-16T15:37:18.000Z,2018-03-16T15:37:18.000Z,inist.osug,jbru,"Vegetation yields, vegetation species (when possible),Sahelian/Saharan climate,Aboveground Maximum Herbaceous Mass,Aboveground Maximum Herbaceous Mass Standard Deviation","[{'subject': 'Vegetation yields, vegetation species (when possible)', 'subjectScheme': 'main'}, {'subject': 'Sahelian/Saharan climate', 'subjectScheme': 'main'}, {'subject': 'Aboveground Maximum Herbaceous Mass', 'subjectScheme': 'var'}, {'subject': 'Aboveground Maximum Herbaceous Mass Standard Deviation', 'subjectScheme': 'var'}]",,"['CSV', 'NETCDF', 'O&M 1.0']"
+10.5281/zenodo.8025653,Accelerated exploration of multinary systems,Zenodo,2022,en,Dataset,"Creative Commons Attribution 4.0 International,Open Access","This repository contains the datasets produced from the characterizations of the quinary Nb-Ti-Zr-Cr-Mo, and predictions made by Machine Learning models. <strong>Experimental work</strong> Gradients of composition were characterized by: EDX for composition evaluation, with an error of 1% on atomic and mass composition nanoindentation for the measurement of the elastic modulus (E) and hardness (H) EBSD : from each map we extract the Confidence Index CI and Image Quality IQ that are indicator of crystallinity. CI is also used to define phase classes (0 for amorphous, 1 for crystalline) XRD: from each diffractogram we extract a phase class (0 for amorphous, 1 for crystalline): raw data are available in XRD.zip Different datasets are built: Raw_data associate to each composition the EBSD CI, IQ, EBSD phase class, and the elastic modulus (E) and hardness (H) computed by the software TestWork Analysis without any correction. For each composition, 5 measurement replications were performed. Raw_data_corrected contains the EBSD CI, IQ, EBSD phase class, and the 5 replications per compositions of E and H corrected through Oliver and Pharr model. Compo_E_H_threshold correspond to Raw_data_corrected in which we have thresholded values of E and H. We removed all composition such that E < 10 GPa and all H < 2 GPa, as they correspond to nanoindentation test failures. Compo_E_wo_outliers and Compo_H_wo_outliers: Dixon test allows to identify outliers on E replications and H replications, that are removed to give each dataset. Each composition is associated to replications of E or H that were not identified as outliers. Averaged_data: each composition is associated to EBSD CI, IQ, EBSD phase class, and with average values of E and H replications without outliers. Data_averaged_mechanical_model: add to previous data the other mechanical properties computed with Galanov model from E and H experimental results: relative characteristic size of the elastic-plastic zone under the indenter \(x = \frac{b_s}{c}\), the constrain factor \(C\) – linking yield strength and hardness – and the ductility characteristic \(\delta_H\) – ratio of plastic deformation and total deformation. It also contains \(\frac{E²}{H}\). Database_XRD: each composition is associated to phase class defined from XRD diffractograms The dataset_initial.zipl contains the experimental results with an initial 20-gradients sets which screen preferably the center of Nb-Ti-Zr-Cr-Mo. It contains all the kind of datasets. The dataset_adding_binaries.zip contains the experimental results for the initial 20-gradients + additional binary gradients Nb-Ti binary 1), Nb-Cr (binary 2) and Cr-Mo (binary 3). It contains the data without outliers, averaged data and XRD database. <strong>Predictions of Machine Learning Models from experimental datasets</strong> Machine Learning models are trained to predict properties from compositions: Random Forest (RF), Support Vector Machine (SVM) and Neural Network (NN) models. Model assessment (i.e. choosing best hyper-parameters for each model) was performed on Compo_E_wo_outliers for E prediction, Compo_H_wo_outliers for H prediction, and on Averaged_data and Database_XRD for phase prediction. Results of model trainings are given in ModelAssessment.tar.gz. The best model of RF, NN and SVM are trained on all datasets: results are given in Train_model_xx.tar.gz. Training the same model with datasets with more or less outliers for E and H predictions allows to see the effect of outliers on the results. The best models of RF and NN are then trained adding iteratively the binaries: results are in tarball Train_model_xx_adding_binaries.tar.gz <strong><em>These tarball are to be used with PyTerK modules available here. </em></strong> The models then predict, for all atomic compositions of Nb-Ti-Zr-Cr-Mo, with 2%at steps, the associated properties: predictions_XX contain atomic compositions associated to predicted CI, IQ, EBSD phase class, XRD phase class, E, H, for each kind of model. Predictions_XX_mechanical_model contain the same data with other mechanical properties computed with Galanov model from E and H predictions: relative characteristic size of the elastic-plastic zone under the indenter \(x = \frac{b_s}{c}\), the constrain factor \(C\) – linking yield strength and hardness – and the ductility characteristic \(\delta_H\) – ratio of plastic deformation and total deformation. It also contains \(\frac{E²}{H}\). The prediction_initial.zip contains the predictions made for all the model families with initial datasets. The predictions_adding_binaries.zip the predictions made with the best model (determined with the initial dataset) trained with the initial dataset+ binaries",mds,True,findable,0,0,0,0,0,2023-07-02T19:43:27.000Z,2023-07-02T19:43:27.000Z,cern.zenodo,cern,"High Entropy Alloys,Combinatorial,Mixture Design,Multinary,Machine Learning","[{'subject': 'High Entropy Alloys'}, {'subject': 'Combinatorial'}, {'subject': 'Mixture Design'}, {'subject': 'Multinary'}, {'subject': 'Machine Learning'}]",,
+10.5281/zenodo.4543403,Khöömii Mongol: diversité des styles et des techniques de l'art diphonique,Zenodo,2021,,Audiovisual,"Creative Commons Attribution 4.0 International,Open Access","Illustrations audiovisuelles de l'article ""<em>Khöömii</em> Mongol: diversité des styles et des techniques de l’art diphonique"", par Johanni Curtet, Nathalie Henrich Bernardoni, Michèle Castellengo, Christophe Savariaux, Pascale Calabrese, Actes des Rencontres Nationales sur les Recherches en Musique, 2021",mds,True,findable,0,0,0,0,0,2021-02-16T13:41:10.000Z,2021-02-16T13:41:11.000Z,cern.zenodo,cern,"diphonic singing,mongolian Khöömii","[{'subject': 'diphonic singing'}, {'subject': 'mongolian Khöömii'}]",,
+10.5281/zenodo.7180985,Code and data presented in ICAART 2023,Zenodo,2022,en,Software,"Creative Commons Attribution 4.0 International,Open Access",The code used to obtain the graph presented in the paper.<br> Additional data such as the trust fluctuation of all the agents and the data in CSV format. Read the REAMDE.md for more information.,mds,True,findable,0,0,0,0,0,2022-10-10T11:09:19.000Z,2022-10-10T11:09:19.000Z,cern.zenodo,cern,,,,
+10.57745/qoa1qo,Data on Terminological Semantic Variation between the (US and British) Press and UN Institutions in Climate Change Discourses,Recherche Data Gouv,2023,,Dataset,,"The data set contains three spreadsheets, two of them being displayed in one single Excel file. The first file, entitled « Cosine_Similarity_UN-Press », represents the cosine similarity scores between the UN version and the press version of the most specific and widely distributed « climate terms » shared by these two communities. The second file, entitled « Collocates_UN-Press » contains two spreadsheets which respectively compares the collocates of the terms « adaptation » and « energy security » between two corpora on climate change, one representing UN institutions and one representing the US and British press.",mds,True,findable,47,5,0,0,0,2023-04-07T14:16:05.000Z,2023-05-23T12:32:05.000Z,rdg.prod,rdg,,,,
+10.18709/perscido.2017.10.ds129,"F-TRACT, ATLAS August 2017",PerSciDo,2017,en,Dataset,Creative Commons Attribution Non Commercial No Derivatives 4.0 International,"Dataset containing connectivity probability with associated p-values as well as features describing fibers biophysical properties, estimated from CCEP data recorded in 174 patients, in the MarsAtlas parcellation scheme. The CCEP features are: peak and onset latency (LatStart), amplitude, integral, duration and the velocity estimated from the onset latency and the Euclidean distance between the parcels.",api,True,findable,0,0,0,0,0,2017-11-03T01:29:18.000Z,2017-11-03T01:29:18.000Z,inist.persyval,vcob,"Computer Science,Medicine","[{'lang': 'en', 'subject': 'Computer Science'}, {'lang': 'en', 'subject': 'Medicine'}]",['66 MB'],['csv']
+10.17178/cryobsclim.cdp.2018.solarmask,"Col de Porte, Solar Mask",CNRS - OSUG - Meteo France,1998,en,Dataset,"Data access and use are ruled by the CRYOBS-CLIM data policy.,Always quote below citation to Lejeune et al. (2019) when using data.
+ Lejeune, Y., Dumont, M., Panel J.-M., Lafaysse, M., Lapalus, P., Le Gac, E., Lesaffre, B. and Morin, S., 57 years (1960-2017) of snow and meteorological observations from a mid-altitude mountain site (Col de Porte, France, 1325 m alt.), Earth System Science Data, 11(2019), 71-88, https://doi.org/10.5194/essd-11-71-2019. The following acknowledging sentence should appear in publications using Cryobs-Clim-CDP data and products: ""Cryobs-Clim Col de Porte is funded by Meteo France, the Institut National des Sciences de l’Univers (INSU/CNRS), and the Observatoire des Sciences de l’Univers de Grenoble (OSUG / Université Grenoble Alpes)â€. You are invited to contact the PI(s) or lead scientist for more information about the data and to include the acknowledgement sentence in any publication using the data.","This dataset is part of the Cryobs-Clim-CDP (CRYosphere, an OBServatory of the CLIMate – Col de Porte) observatory",mds,True,findable,0,0,1,0,0,2018-07-19T07:26:39.000Z,2018-07-19T07:28:08.000Z,inist.osug,jbru,Solar Mask,"[{'subject': 'Solar Mask', 'subjectScheme': 'main'}]",,['CSV']
+10.5281/zenodo.5723606,Classification of blood cells dynamics with convolutional and recurrent neural networks: a sickle cell disease case study,Zenodo,2021,en,Dataset,"Creative Commons Attribution 4.0 International,Open Access","The fraction of red blood cells (RBC) adopting a specific motion under low shear flow is a promising inexpensive marker for monitoring the clinical status of patients with sickle cell disease (SCD). Its high-throughput measurement relies on the video analysis of thousands of cell motions for each blood sample to eliminate a large majority of unreliable samples(out of focus or overlapping cells) and discriminate between tank-treading and flipping motion, characterizing highly and poorly deformable cells respectively. These videos are of different durations (from 6 to more than 100 frames). This dataset contains four adult patients with SCD. They were enrolled in the study Drepaforme (approved by the institutional review board CPP Ouest 6 under the reference n°2018A00679-46) and were sampled weekly for several months. The movies were processed using in-house routines in Matlab (Matlab, R2016a) and RBC were detected individually and tracked over time. The database provided in this repository are already pre-processed sequences of tracked and centered RBC over time, each time step image being normalized to 31x31 pixels. Within the 32 experiments, the total number of sequences (or samples) is nearly 150 000. All sequences were semi-automatically labelled into 3 classes, depending on the dynamic of the cell: tank-treading, flipping and unreliable (140 000 are unreliable). The percentage of tank-treading cells with respect to all reliable cells (tank-treading+flipping) in every experiment is the final goal of this study. This dataset is very interesting to the community as it is a large database for cell dynamics classification: the class depends on the movement of the cell. An automatic processing of the database using a 2-stage deep learning model is available here https://github.com/icannos/redbloodcells_disease_classification For opening the data in python: from scipy.io import loadmat<br> x=loadmat('BG20191003shear10s01_Export.mat') * x['Norm_Tab'] is of size nb_samples x max_len_sequences x 31 x 31, where max_len_sequences is the length of the longest sequence of the series, typically ~150 to 180. The other sequences are padded with 31x31 zero matrices at the end in order to fill this maximal length. * x['Labels_Num'] is the corresponding label of each sequence, of size nb_samples. Label can be:<br> - 0 : ""tank-treading"" (or healthy)<br> - 1 : ""flipping"" (or tumbling, i.e. related to a SCD)<br> - 2 : ""unreliable""",mds,True,findable,0,0,0,0,0,2021-11-24T10:21:40.000Z,2021-11-24T10:21:41.000Z,cern.zenodo,cern,"blood cell,cell dynamics,cell classification,cell motion","[{'subject': 'blood cell'}, {'subject': 'cell dynamics'}, {'subject': 'cell classification'}, {'subject': 'cell motion'}]",,
+10.5281/zenodo.10276480,Bathymetry of Bossons Lake of 26 June 2023,Zenodo,2023,,Dataset,Creative Commons Attribution 4.0 International,Bathymetry of the Bossons lake done the 26 June 2023. ,api,True,findable,0,0,0,0,1,2023-12-06T10:42:06.000Z,2023-12-06T10:42:07.000Z,cern.zenodo,cern,,,,
+10.13140/rg.2.2.13119.66720,Four Exercises in Programming Dynamic Reconfigurable Systems: Methodology and Solution in DR-BIP,Université Grenoble Alpes,2018,en,Text,,,mds,True,findable,0,0,0,0,0,2019-07-06T12:00:33.000Z,2019-07-06T12:00:35.000Z,rg.rg,rg,,,,
+10.5281/zenodo.10262984,Unite! handbook of best practices for effective mainstreaming of open science and innovation at Universities,Unite! Alliance Publications,2023,en,Text,Creative Commons Attribution 4.0 International,"This handbook is a practical guide for facilitating researchers, R&I support services, and university managers to transition from modern science to open science. Based on a comparative case study of 70 research teams across 7 European universities in the Unite! Alliance, this handbook reveals a high-impact understanding of the best open science and innovation practices on Unite! research teams and exposes guidelines for the adoption of these practices. This handbook shapes a new governance model for the management of open science and innovation in universities in the digital era. ",api,True,findable,0,0,0,0,0,2023-12-11T11:19:52.000Z,2023-12-11T11:19:52.000Z,cern.zenodo,cern,"open science,open science management,university governance,open innovation,science and innovation policy,open exploration,european universities alliances","[{'subject': 'open science'}, {'subject': 'open science management'}, {'subject': 'university governance'}, {'subject': 'open innovation'}, {'subject': 'science and innovation policy'}, {'subject': 'open exploration'}, {'subject': 'european universities alliances'}]",,
+10.17178/emaa_a-ch3oh_rotation_aa19a665,"Rotation excitation of A-CH3OH by electron, ortho-H2 and para-H2 collisions","UGA, CNRS, CNRS-INSU, OSUG",2023,en,Dataset,"Please acknowledge the use of EMAA Database by citing the original articles in which the data were published (BibTeX format available), and adding the following sentence in your publication:
+This research has made use of spectroscopic and collisional data from the EMAA database (https://emaa.osug.fr). EMAA is supported by the Observatoire des Sciences de l'Univers de Grenoble (OSUG),Creative Commons Attribution 4.0 International,Data access and use are ruled by the EMAA data policy.",140 rotation energy levels / 891 radiative transitions / 9669 collisional transitions for para-H2 (20 temperatures in the range 10-200K) / 4005 collisional transitions for ortho-H2 (20 temperatures in the range 10-200K) / 891 collisional transitions for electron (20 temperatures in the range 10-200K),mds,True,findable,0,0,0,0,0,2023-12-07T15:50:33.000Z,2023-12-07T15:50:33.000Z,inist.osug,jbru,"target A-CH3OH,excitationType Rotation,collisional excitation,collider.0 para-H2,collider.1 ortho-H2,collider.2 electron,astrophysics,interstellar medium,comets,circumstellar medium,gas,microwave spectroscopy,infrared spectroscopy,rotational excitation,rovibrational excitation,vibrational excitation,electronic excitation,collisional rate coefficients,fine structure,hyperfine structure","[{'subject': 'target A-CH3OH', 'subjectScheme': 'main'}, {'subject': 'excitationType Rotation', 'subjectScheme': 'main'}, {'subject': 'collisional excitation', 'subjectScheme': 'main'}, {'subject': 'collider.0 para-H2', 'subjectScheme': 'var'}, {'subject': 'collider.1 ortho-H2', 'subjectScheme': 'var'}, {'subject': 'collider.2 electron', 'subjectScheme': 'var'}, {'subject': 'astrophysics', 'subjectScheme': 'var'}, {'subject': 'interstellar medium', 'subjectScheme': 'var'}, {'subject': 'comets', 'subjectScheme': 'var'}, {'subject': 'circumstellar medium', 'subjectScheme': 'var'}, {'subject': 'gas', 'subjectScheme': 'var'}, {'subject': 'microwave spectroscopy', 'subjectScheme': 'var'}, {'subject': 'infrared spectroscopy', 'subjectScheme': 'var'}, {'subject': 'rotational excitation', 'subjectScheme': 'var'}, {'subject': 'rovibrational excitation', 'subjectScheme': 'var'}, {'subject': 'vibrational excitation', 'subjectScheme': 'var'}, {'subject': 'electronic excitation', 'subjectScheme': 'var'}, {'subject': 'collisional rate coefficients', 'subjectScheme': 'var'}, {'subject': 'fine structure', 'subjectScheme': 'var'}, {'subject': 'hyperfine structure', 'subjectScheme': 'var'}]",,['Radex']
+10.48537/hal-03220302,Homunculus Nimbus,Reseau International Ambiances,2020,en,Text,Creative Commons Attribution Non Commercial No Derivatives 2.0 Generic,"This paper discusses the concepts and process in the creation of homunculus nimbus, an installation made of several sculptural bodies (homunculi) that are used to cover shell-like pavilion that acts as a habitat for the homunculi. Homunculus Nimbus is a projection of a future where synthetic life-forms are commonplace. The exhibit simulates the life-like resting and wake cycles in nocturnal beings by providing quiet and shade in the day and by activating with light and sounds at night through a continuous flow of light patterns in response to each other. From a distance the work is sculptural, but it is a destination as well as an object. Visitors are invited to enter the work, benches provide a place to rest and contemplate, inhabit, and commune.",mds,True,findable,0,0,0,0,0,2021-06-17T16:47:35.000Z,2021-06-17T16:47:35.000Z,jbru.aau,jbru,"Architectonic,Biomimetic,Emotive,File-to-Factory,Digital Fabrication","[{'lang': 'eng', 'subject': 'Architectonic'}, {'lang': 'eng', 'subject': 'Biomimetic'}, {'lang': 'eng', 'subject': 'Emotive'}, {'lang': 'eng', 'subject': 'File-to-Factory'}, {'lang': 'eng', 'subject': 'Digital Fabrication'}]",['6 pages'],['application/pdf']
+10.18709/perscido.2018.09.ds236,GICS Intrusion Detection Datasets,PerSciDo,2018,en,Dataset,,"These datasets were generated for the evaluation of cybersecurity measures in the context of industrial control systems (ICS). An ICS is a set of devices (electrical, mechanical, hydraulic,. . . ) whose interaction controls the behavior of a physical process in order to achieve an industrial objective (manufacturing, transportation of matter and energy, etc.).",fabricaForm,True,findable,0,0,0,1,0,2018-09-24T09:22:44.000Z,2018-09-24T11:39:56.000Z,inist.persyval,vcob,Computer Science,[{'subject': 'Computer Science'}],['1200 MB'],['pcapng']
+10.17178/emaa_cs_rotation_d0c6405a,"Rotation excitation of CS by electron, ortho-H2 and para-H2 collisions","UGA, CNRS, CNRS-INSU, OSUG",2022,en,Dataset,"Please acknowledge the use of EMAA Database by citing the original articles in which the data were published (BibTeX format available), and adding the following sentence in your publication:
+This research has made use of spectroscopic and collisional data from the EMAA database (https://emaa.osug.fr). EMAA is supported by the Observatoire des Sciences de l'Univers de Grenoble (OSUG),Creative Commons Attribution 4.0 International,Data access and use are ruled by the EMAA data policy.",40 rotation energy levels / 39 radiative transitions / 435 collisional transitions for para-H2 (11 temperatures in the range 5-305K) / 435 collisional transitions for ortho-H2 (11 temperatures in the range 5-305K) / 284 collisional transitions for electron (11 temperatures in the range 10-2000K),mds,True,findable,0,0,0,0,0,2022-02-07T11:24:21.000Z,2022-02-07T11:24:22.000Z,inist.osug,jbru,"target CS,excitationType Rotation,collisional excitation,collider.0 para-H2,collider.1 ortho-H2,collider.2 electron,astrophysics,interstellar medium,comets,circumstellar medium,gas,microwave spectroscopy,infrared spectroscopy,rotational excitation,rovibrational excitation,vibrational excitation,electronic excitation,collisional rate coefficients,fine structure,hyperfine structure","[{'subject': 'target CS', 'subjectScheme': 'main'}, {'subject': 'excitationType Rotation', 'subjectScheme': 'main'}, {'subject': 'collisional excitation', 'subjectScheme': 'main'}, {'subject': 'collider.0 para-H2', 'subjectScheme': 'var'}, {'subject': 'collider.1 ortho-H2', 'subjectScheme': 'var'}, {'subject': 'collider.2 electron', 'subjectScheme': 'var'}, {'subject': 'astrophysics', 'subjectScheme': 'var'}, {'subject': 'interstellar medium', 'subjectScheme': 'var'}, {'subject': 'comets', 'subjectScheme': 'var'}, {'subject': 'circumstellar medium', 'subjectScheme': 'var'}, {'subject': 'gas', 'subjectScheme': 'var'}, {'subject': 'microwave spectroscopy', 'subjectScheme': 'var'}, {'subject': 'infrared spectroscopy', 'subjectScheme': 'var'}, {'subject': 'rotational excitation', 'subjectScheme': 'var'}, {'subject': 'rovibrational excitation', 'subjectScheme': 'var'}, {'subject': 'vibrational excitation', 'subjectScheme': 'var'}, {'subject': 'electronic excitation', 'subjectScheme': 'var'}, {'subject': 'collisional rate coefficients', 'subjectScheme': 'var'}, {'subject': 'fine structure', 'subjectScheme': 'var'}, {'subject': 'hyperfine structure', 'subjectScheme': 'var'}]",,['Radex']
+10.48537/hal-03220324,"Sound Stakes of the Atmosphere, Session 14 – Introduction",Reseau International Ambiances,2020,en,Text,Creative Commons Attribution Non Commercial No Derivatives 2.0 Generic,,mds,True,findable,0,0,0,0,0,2021-06-17T10:17:59.000Z,2021-06-17T10:18:00.000Z,jbru.aau,jbru,,,['5 pages'],['application/pdf']
+10.48380/gq45-dv88,Towards a geochemical approach to guide hydrothermal REE recovery from NdFeB magnets,Deutsche Geologische Gesellschaft - Geologische Vereinigung e.V. (DGGV),2023,en,Text,,"<p>The NdFeB magnet world demand has doubled since 2005 to reach above 120 kton in 2020 [1]. The growing demand for REEs prompts their recycling. Sintered NdFeB permanent magnets are usually composed of above 20 wt.% Nd and a few wt.% of Pr and Dy. There are two main recycling ways for REE-based magnets. In the “short-loop processâ€, the main alloy is maintained in the valorized magnets, meaning that the microstructure and magnetic properties directly arise from the end-of-life product. In the “long loop†recycling process, one tries to extract the REEs from the alloy, which is the purpose of the present work.</p>
+<p>The chemical separation of REEs from each other is difficult due to the similarity of their chemical properties. Following the encouraging results obtained by [2] in recovering REEs from NdFeB by hydrothermal treatment, we developed a geochemical approach of aqueous fluid – REE-compounds interactions based on the use PHREEQC software with the implementation of relevant REE-phases in the database. The database is tested against hydrothermal experiments on NdFeB powders with in-situ solution sampling. When reacted at 250°C and 100 bar, NdFeB powders transform into Nd(OH)<sub>2</sub>, magnetite and Nd-borates along with large amounts of H<sub>2</sub>. The low Nd solubility measured in the experiment is likely controlled by Nd-borates. The database will allow to investigate the effect of chlorine or CO<sub>2</sub> on the REE behaviour.</p>
+<p>[1] Yang, Y. et al. (2017). <em>J. Sustain. Metall.</em>, 3, 122-149.</p>
+<p>[2] Maât, N. et al. <em>ACS Sustain. Chem. Eng.</em>, 4, 6455-6462.</p>
+",api,True,findable,0,0,0,0,0,2023-12-11T21:13:49.000Z,2023-12-11T21:13:49.000Z,mcdy.dohrmi,mcdy,,,,
+10.17178/emaa_hcn_hyperfine_73e9d7ef,Hyperfine excitation of HCN by electron and para-H2 collisions,"UGA, CNRS, CNRS-INSU, OSUG",2021,en,Dataset,"Please acknowledge the use of EMAA Database by citing the original articles in which the data were published (BibTeX format available), and adding the following sentence in your publication:
+This research has made use of spectroscopic and collisional data from the EMAA database (https://emaa.osug.fr). EMAA is supported by the Observatoire des Sciences de l'Univers de Grenoble (OSUG),Creative Commons Attribution 4.0 International,Data access and use are ruled by the EMAA data policy.",25 hyperfine energy levels / 45 radiative transitions / 290 collisional transitions for electron (12 temperatures in the range 10-1000K) / 300 collisional transitions for para-H2 (6 temperatures in the range 5-30K),mds,True,findable,0,0,0,0,0,2021-11-17T14:01:02.000Z,2021-11-17T14:01:03.000Z,inist.osug,jbru,"target HCN,excitationType Hyperfine,collisional excitation,collider.0 electron,collider.1 para-H2,astrophysics,interstellar medium,comets,circumstellar medium,gas,microwave spectroscopy,infrared spectroscopy,rotational excitation,rovibrational excitation,vibrational excitation,electronic excitation,collisional rate coefficients,fine structure,hyperfine structure","[{'subject': 'target HCN', 'subjectScheme': 'main'}, {'subject': 'excitationType Hyperfine', 'subjectScheme': 'main'}, {'subject': 'collisional excitation', 'subjectScheme': 'main'}, {'subject': 'collider.0 electron', 'subjectScheme': 'var'}, {'subject': 'collider.1 para-H2', 'subjectScheme': 'var'}, {'subject': 'astrophysics', 'subjectScheme': 'var'}, {'subject': 'interstellar medium', 'subjectScheme': 'var'}, {'subject': 'comets', 'subjectScheme': 'var'}, {'subject': 'circumstellar medium', 'subjectScheme': 'var'}, {'subject': 'gas', 'subjectScheme': 'var'}, {'subject': 'microwave spectroscopy', 'subjectScheme': 'var'}, {'subject': 'infrared spectroscopy', 'subjectScheme': 'var'}, {'subject': 'rotational excitation', 'subjectScheme': 'var'}, {'subject': 'rovibrational excitation', 'subjectScheme': 'var'}, {'subject': 'vibrational excitation', 'subjectScheme': 'var'}, {'subject': 'electronic excitation', 'subjectScheme': 'var'}, {'subject': 'collisional rate coefficients', 'subjectScheme': 'var'}, {'subject': 'fine structure', 'subjectScheme': 'var'}, {'subject': 'hyperfine structure', 'subjectScheme': 'var'}]",,['Radex']
+10.17178/draixbleone_gal_rob_ion_1719,Major ion concentration of the river Galabre at the Robine station of the Galabre watershed,IGE - CNRS - OSUG,2020,en,Dataset,"Creative Commons Attribution 4.0 International,The following acknowledging sentence should appear in publications using data and products from the Galabre watershed of the Draix Bleone Observatory: ""DRAIX BLEONE is funded by the Institut National des Sciences de l’Univers (INSU/CNRS) and the Observatoire des Sciences de l’Univers de Grenoble (OSUG / Université Grenoble Alpes)â€.,Always quote below citation to Legout et al. (submitted) when using these data. Legout C., Freche G., Biron R., Esteves M., Nord G, Navratil O., Uber M., Grangeon T., Hachgenei N., Boudevillain B. Voiron C., Spadini L. A critical zone observatory dedicated to suspended sediment transport: the meso-scale Galabre catchment (southern French Alps), submitted to Hydrological Processes.",This major ion concentration data set is part of the DRAIXBLEONE_GAL observatory.,mds,True,findable,0,0,0,0,0,2020-09-15T15:58:43.000Z,2020-09-15T15:58:44.000Z,inist.osug,jbru,"Mediterranean mountainous climate,Surface water,Hydrology,Water quality / Water chemistry","[{'subject': 'Mediterranean mountainous climate', 'subjectScheme': 'main'}, {'subject': 'Surface water', 'subjectScheme': 'var'}, {'subject': 'Hydrology', 'subjectScheme': 'var'}, {'subject': 'Water quality / Water chemistry', 'subjectScheme': 'var'}]",,['CSV']
+10.18709/perscido.2020.03.ds300,The VLSAT (Very Large SAT) Benchmark Suite,PerSciDo,2020,en,Dataset,Creative Commons Attribution 4.0 International,"The VLSAT benchmark suite (where ""VL"" stands for ""Very Large"") is a collection of one hundred of SAT formulas to be used as benchmarks in scientific experiments and software competitions. These SAT formulas have been obtained from the automatic conversion into Nested-Unit Petri Nets (NUPNs) of a large collection of Petri nets modelling real-life problems, such as communication protocols and concurrent systems.",fabrica,True,findable,0,0,0,1,0,2020-03-11T16:46:55.000Z,2020-03-11T16:46:56.000Z,inist.persyval,vcob,Computer science,"[{'lang': 'en', 'subject': 'Computer science'}]",['500 MB'],['DIMACS CNF']
+10.17178/ohmcv.dsd.sef.12-14.1,"DSD network, Saint-Etienne-de-Fontbellon",CNRS - OSUG - OREME,2012,en,Dataset,"Data access and use are ruled by the OHMCV data policy.,The following acknowledging sentence should appear in publications using OHMCV data and products: ""OHMCV is funded by the Institut National des Sciences de l’Univers (INSU/CNRS) and the Observatoire des Sciences de l’Univers de Grenoble (OSUG / Université Grenoble Alpes)â€.",This dataset is part of the Cevennesâ€Vivarais Mediterranean Hydrometeorological Observatory (OHMCV),mds,True,findable,0,0,1,1,0,2017-03-10T17:09:21.000Z,2017-03-10T17:09:22.000Z,inist.osug,jbru,"Atmospheric conditions,Precipitation Rate,Droplet Size,DISDROMETERS,Ground networks,Hydrometeorological sites,Fixed Observation Stations","[{'subject': 'Atmospheric conditions', 'subjectScheme': 'main'}, {'subject': 'Precipitation Rate', 'subjectScheme': 'main'}, {'subject': 'Droplet Size', 'subjectScheme': 'main'}, {'subject': 'DISDROMETERS', 'subjectScheme': 'main'}, {'subject': 'Ground networks', 'subjectScheme': 'main'}, {'subject': 'Hydrometeorological sites', 'subjectScheme': 'main'}, {'subject': 'Fixed Observation Stations', 'subjectScheme': 'main'}]",,['NETCDF']
+10.5281/zenodo.7969434,Sample Tomography Image,Zenodo,2023,,Dataset,"Creative Commons Attribution 4.0 International,Open Access",Sample Tomography Image,mds,True,findable,0,0,0,0,0,2023-05-25T08:05:35.000Z,2023-05-25T08:05:36.000Z,cern.zenodo,cern,,,,
+10.17178/draixbleone_gal_rob_sedsource_0719,Contribution of source soils to Suspended Sediment Concentration of the river Galabre at the Robine station of the Galabre watershed,IGE - CNRS - OSUG,2020,en,Dataset,"Always quote below citation to Legout et al. (2013) when using these data. Legout C., Poulenard J., Nemery J., Navratil O., Grangeon T., Evrard O., Esteves M. (2013). Quantifying suspended sediment sources during floods in headwater catchments by spectrocolorimetry. Journal of Soils and Sediments. 8: 1478-1492.,Creative Commons Attribution 4.0 International,The following acknowledging sentence should appear in publications using data and products from the Galabre watershed of the Draix Bleone Observatory: ""DRAIX BLEONE is funded by the Institut National des Sciences de l’Univers (INSU/CNRS) and the Observatoire des Sciences de l’Univers de Grenoble (OSUG / Université Grenoble Alpes)â€.,Always quote below citation to Legout et al. (submitted) when using these data. Legout C., Freche G., Biron R., Esteves M., Nord G, Navratil O., Uber M., Grangeon T., Hachgenei N., Boudevillain B. Voiron C., Spadini L. A critical zone observatory dedicated to suspended sediment transport: the meso-scale Galabre catchment (southern French Alps), submitted to Hydrological Processes.",This source contribution to suspended sediment concentration data set is part of the DRAIXBLEONE_GAL observatory.,mds,True,findable,0,0,0,0,0,2020-09-15T15:58:48.000Z,2020-09-15T15:58:50.000Z,inist.osug,jbru,"Mediterranean mountainous climate,Surface water,Sediments,Soils,Water quality / Water chemistry","[{'subject': 'Mediterranean mountainous climate', 'subjectScheme': 'main'}, {'subject': 'Surface water', 'subjectScheme': 'var'}, {'subject': 'Sediments', 'subjectScheme': 'var'}, {'subject': 'Soils', 'subjectScheme': 'var'}, {'subject': 'Water quality / Water chemistry', 'subjectScheme': 'var'}]",,['CSV']
+10.5281/zenodo.5217997,Raw data : Observation of two-mode squeezing in a traveling wave parametric amplifier,Zenodo,2021,en,Dataset,"MIT License,Open Access","The raw data used to generate figures presented in the articles is available as qcodes datasets. Fig 2<br> The 100 million quadrature points used to construct statistics in figure 2 are stored at 10 datasets with ids 1 to 10, each containing 10 million points. The data was split in multiple databases to ease storage and processing. Fig 3<br> The pump phase sweep in figure 2 was recorded at 25 points from 0 to pi. Each sweep step is stored as a dataset in the database starting from run id 11 to 35, corresponding to 0 to pi in order. Fig 4<br> The quadratures recorded at delta values 20, 50, 100, 150 and 200 are stored with run id 36 to 40, respectively. Fig SNTJ gain calibration<br> The noise spectrum as a function of voltage applied to SNTJ is stored for frequencies corresponding to the delta values 20, 50, 100, 150 and 200, from run id 41 to 45, respectively.",mds,True,findable,0,0,0,0,0,2021-11-08T19:02:16.000Z,2021-11-08T19:02:18.000Z,cern.zenodo,cern,,,,
+10.48537/hal-03220366,"Testimony of a Congolese Refugee, Presencing Atmospheres Through Listening",Reseau International Ambiances,2020,en,Text,Creative Commons Attribution Non Commercial No Derivatives 2.0 Generic,"The aim of the current article is to point out notes about a research method focused on investigating atmospheres based on sensitive listening of testimonies. Based on a research conducted in the migration and refuge field, it presents the case of a field experience where a Congolese refugee shared her story with students from a public school in Duque de Caxias, Rio de Janeiro. This case study enabled concluding that it is possible presencing a certain atmosphere by listen- ing to ones’ testimony. Moreover, the field experience showed the feasibility of seeing the emergence of other atmospheres that gradually intertwine and overlap in the space shared by different individuals.",mds,True,findable,0,0,0,0,0,2021-06-17T09:43:59.000Z,2021-06-17T09:44:00.000Z,jbru.aau,jbru,"Sensitive Listening,Testimony,Atmosphere,Refuge","[{'lang': 'eng', 'subject': 'Sensitive Listening'}, {'lang': 'eng', 'subject': 'Testimony'}, {'lang': 'eng', 'subject': 'Atmosphere'}, {'lang': 'eng', 'subject': 'Refuge'}]",['6 pages'],['application/pdf']
+10.48537/hal-03220372,The Great Soccer Stadium: Ruptures and (Re) significations of (New) Maracanã,Reseau International Ambiances,2020,en,Text,Creative Commons Attribution Non Commercial No Derivatives 2.0 Generic,"The aim of the current study is to analyze meanings and resignifications of soccer stadiums based on the concept of ambiance, by taking into consideration physical changes applied to them and affective relationships set with them by fans. The study has focused on Maracanã stadium (Rio de Janeiro, Brazil) after the 2014 World Cup renovation. The herein adopted analysis methodology consisted in assessing fans’ narratives about the stadium and in listing metaphorical expressions that emphasize the (re)signification process of the new stadium. This (re)signification operates in the atmospheric reconstructions of these “temples of the ball†and in ruptures inherent to any transformation process.",mds,True,findable,0,0,0,0,0,2021-06-17T10:17:52.000Z,2021-06-17T10:17:52.000Z,jbru.aau,jbru,"Ambiance,Rupture,Resignification,Maracanã","[{'lang': 'eng', 'subject': 'Ambiance'}, {'lang': 'eng', 'subject': 'Rupture'}, {'lang': 'eng', 'subject': 'Resignification'}, {'lang': 'eng', 'subject': 'Maracanã'}]",['6 pages'],['application/pdf']
+10.5281/zenodo.1443459,Parrot,Zenodo,2018,en,Dataset,"Creative Commons Attribution 4.0,Open Access","The netCDF files ""SF*.nc"" that can be found in the repository ""Parrot_experiment"" contain the experimental results of intense sediment transport experiments (sheet flow) carried out in the LEGI tilting flume with two sizes of uniformly distributed acrylic particles having median diameters of 1 mm (S1 experiment) and 3 mm (S3 experiment). The data contained in this repository are presented in Fromant et al. (2018). The files contain :
+
+ 1/ Synchronised and colocated concentration and veclocity (streamwise component) profiles measurements collected with an Acoustic Concentration and Velocity Profiler (ACVP - Hurther et al., 2011). <br>
+ 2/ Concentration profiles time series collected with Conductivity and Concentration Profilers (Lanckriet et al., 2013), with two different vertical resolutions, 1 mm (CCP1mm) and 2mm (CCP2mm).
+
+Details about the experimental protocol can be found in Revil-Baudard et al. (2015). More details regarding the experimental protocol and flow conditions can be found in Fromant et al. (2018).",mds,True,findable,0,0,0,0,0,2018-10-03T15:42:14.000Z,2018-10-03T15:42:15.000Z,cern.zenodo,cern,"Sediment Transport,Sheet-flow,Concentration measurement,ACVP,CCP","[{'subject': 'Sediment Transport'}, {'subject': 'Sheet-flow'}, {'subject': 'Concentration measurement'}, {'subject': 'ACVP'}, {'subject': 'CCP'}]",,
+10.5281/zenodo.5649825,"FIG. 42 in Two new species of Protonemura Kempny, 1898 (Plecoptera: Nemouridae) from Southern France",Zenodo,2021,,Image,Open Access,"FIG. 42—Localities of Protonemura lupina sp. n. in the southern French Alps: a = (spring) and b = (harnessed spring), tributaries to the Loup River, on the road to Courmes, 43.753N, 7.005E (Alpes-Maritimes) (photographs by Gilles Vinçon).",mds,True,findable,0,0,1,0,0,2021-11-05T21:12:00.000Z,2021-11-05T21:12:01.000Z,cern.zenodo,cern,"Biodiversity,Taxonomy,Animalia,Arthropoda,Insecta,Plecoptera,Nemouridae,Protonemura","[{'subject': 'Biodiversity'}, {'subject': 'Taxonomy'}, {'subject': 'Animalia'}, {'subject': 'Arthropoda'}, {'subject': 'Insecta'}, {'subject': 'Plecoptera'}, {'subject': 'Nemouridae'}, {'subject': 'Protonemura'}]",,
+10.17178/emaa_n2d-plus_hyperfine_39813cf9,Hyperfine excitation of N2D+ by para-H2 collisions,"UGA, CNRS, CNRS-INSU, OSUG",2021,en,Dataset,"Please acknowledge the use of EMAA Database by citing the original articles in which the data were published (BibTeX format available), and adding the following sentence in your publication:
+This research has made use of spectroscopic and collisional data from the EMAA database (https://emaa.osug.fr). EMAA is supported by the Observatoire des Sciences de l'Univers de Grenoble (OSUG),Creative Commons Attribution 4.0 International,Data access and use are ruled by the EMAA data policy.",37 hyperfine energy levels / 89 radiative transitions / 626 collisional transitions for para-H2 (14 temperatures in the range 5-70K),mds,True,findable,0,0,0,0,0,2021-11-18T13:35:21.000Z,2021-11-18T13:35:22.000Z,inist.osug,jbru,"target N2D+,excitationType Hyperfine,collisional excitation,collider.0 para-H2,astrophysics,interstellar medium,comets,circumstellar medium,gas,microwave spectroscopy,infrared spectroscopy,rotational excitation,rovibrational excitation,vibrational excitation,electronic excitation,collisional rate coefficients,fine structure,hyperfine structure","[{'subject': 'target N2D+', 'subjectScheme': 'main'}, {'subject': 'excitationType Hyperfine', 'subjectScheme': 'main'}, {'subject': 'collisional excitation', 'subjectScheme': 'main'}, {'subject': 'collider.0 para-H2', 'subjectScheme': 'var'}, {'subject': 'astrophysics', 'subjectScheme': 'var'}, {'subject': 'interstellar medium', 'subjectScheme': 'var'}, {'subject': 'comets', 'subjectScheme': 'var'}, {'subject': 'circumstellar medium', 'subjectScheme': 'var'}, {'subject': 'gas', 'subjectScheme': 'var'}, {'subject': 'microwave spectroscopy', 'subjectScheme': 'var'}, {'subject': 'infrared spectroscopy', 'subjectScheme': 'var'}, {'subject': 'rotational excitation', 'subjectScheme': 'var'}, {'subject': 'rovibrational excitation', 'subjectScheme': 'var'}, {'subject': 'vibrational excitation', 'subjectScheme': 'var'}, {'subject': 'electronic excitation', 'subjectScheme': 'var'}, {'subject': 'collisional rate coefficients', 'subjectScheme': 'var'}, {'subject': 'fine structure', 'subjectScheme': 'var'}, {'subject': 'hyperfine structure', 'subjectScheme': 'var'}]",,['Radex']
+10.48537/hal-03220377,"Sense and Sensibility of Affective Atmospheres, Session 11 – Introduction",Reseau International Ambiances,2020,en,Text,Creative Commons Attribution Non Commercial No Derivatives 2.0 Generic,,mds,True,findable,0,0,0,0,0,2021-06-17T10:17:12.000Z,2021-06-17T10:17:12.000Z,jbru.aau,jbru,,,['3 pages'],['application/pdf']
+10.17178/emaa_ortho-h2(13c)o_rotation_e08b64e2,Rotation excitation of ortho-H2[13C]O by ortho-H2 and para-H2 collisions,"UGA, CNRS, CNRS-INSU, OSUG",2021,en,Dataset,"Please acknowledge the use of EMAA Database by citing the original articles in which the data were published (BibTeX format available), and adding the following sentence in your publication:
+This research has made use of spectroscopic and collisional data from the EMAA database (https://emaa.osug.fr). EMAA is supported by the Observatoire des Sciences de l'Univers de Grenoble (OSUG),Creative Commons Attribution 4.0 International,Data access and use are ruled by the EMAA data policy.",17 rotation energy levels / 27 radiative transitions / 136 collisional transitions for ortho-H2 (21 temperatures in the range 10-300K) / 136 collisional transitions for para-H2 (21 temperatures in the range 10-300K),mds,True,findable,0,0,0,0,0,2021-11-18T13:35:34.000Z,2021-11-18T13:35:35.000Z,inist.osug,jbru,"target ortho-H2[13C]O,excitationType Rotation,collisional excitation,collider.0 ortho-H2,collider.1 para-H2,astrophysics,interstellar medium,comets,circumstellar medium,gas,microwave spectroscopy,infrared spectroscopy,rotational excitation,rovibrational excitation,vibrational excitation,electronic excitation,collisional rate coefficients,fine structure,hyperfine structure","[{'subject': 'target ortho-H2[13C]O', 'subjectScheme': 'main'}, {'subject': 'excitationType Rotation', 'subjectScheme': 'main'}, {'subject': 'collisional excitation', 'subjectScheme': 'main'}, {'subject': 'collider.0 ortho-H2', 'subjectScheme': 'var'}, {'subject': 'collider.1 para-H2', 'subjectScheme': 'var'}, {'subject': 'astrophysics', 'subjectScheme': 'var'}, {'subject': 'interstellar medium', 'subjectScheme': 'var'}, {'subject': 'comets', 'subjectScheme': 'var'}, {'subject': 'circumstellar medium', 'subjectScheme': 'var'}, {'subject': 'gas', 'subjectScheme': 'var'}, {'subject': 'microwave spectroscopy', 'subjectScheme': 'var'}, {'subject': 'infrared spectroscopy', 'subjectScheme': 'var'}, {'subject': 'rotational excitation', 'subjectScheme': 'var'}, {'subject': 'rovibrational excitation', 'subjectScheme': 'var'}, {'subject': 'vibrational excitation', 'subjectScheme': 'var'}, {'subject': 'electronic excitation', 'subjectScheme': 'var'}, {'subject': 'collisional rate coefficients', 'subjectScheme': 'var'}, {'subject': 'fine structure', 'subjectScheme': 'var'}, {'subject': 'hyperfine structure', 'subjectScheme': 'var'}]",,['Radex']
+10.5281/zenodo.4761335,"Fig. 57 in Two New Species Of Dictyogenus Klapálek, 1904 (Plecoptera: Perlodidae) From The Jura Mountains Of France And Switzerland, And From The French Vercors And Chartreuse Massifs",Zenodo,2019,,Image,"Creative Commons Attribution 4.0 International,Open Access","Fig. 57. Dictyogenus alpinum, male, epiproct, lateral view. Nant Bénin River, Savoie dpt, France. Photo B. Launay.",mds,True,findable,0,0,6,0,0,2021-05-14T07:49:44.000Z,2021-05-14T07:49:45.000Z,cern.zenodo,cern,"Biodiversity,Taxonomy,Animalia,Arthropoda,Insecta,Plecoptera,Perlodidae,Dictyogenus","[{'subject': 'Biodiversity'}, {'subject': 'Taxonomy'}, {'subject': 'Animalia'}, {'subject': 'Arthropoda'}, {'subject': 'Insecta'}, {'subject': 'Plecoptera'}, {'subject': 'Perlodidae'}, {'subject': 'Dictyogenus'}]",,
+10.5281/zenodo.10262983,Unite! handbook of best practices for effective mainstreaming of open science and innovation at Universities,Unite! Alliance Publications,2023,en,Text,Creative Commons Attribution 4.0 International,"This handbook is a practical guide for facilitating researchers, R&I support services, and university managers to transition from modern science to open science. Based on a comparative case study of 70 research teams across 7 European universities in the Unite! Alliance, this handbook reveals a high-impact understanding of the best open science and innovation practices on Unite! research teams and exposes guidelines for the adoption of these practices. This handbook shapes a new governance model for the management of open science and innovation in universities in the digital era. ",api,True,findable,0,0,0,0,0,2023-12-11T11:19:53.000Z,2023-12-11T11:19:53.000Z,cern.zenodo,cern,"open science,open science management,university governance,open innovation,science and innovation policy,open exploration,european universities alliances","[{'subject': 'open science'}, {'subject': 'open science management'}, {'subject': 'university governance'}, {'subject': 'open innovation'}, {'subject': 'science and innovation policy'}, {'subject': 'open exploration'}, {'subject': 'european universities alliances'}]",,
+10.48537/hal-03220357,"From Attention to Spatial and Informational Mobility, Towards a Digital Common to Design a Dynamic City, Outcomes of Mobiance 4 workshop",Reseau International Ambiances,2020,en,Text,Creative Commons Attribution Non Commercial No Derivatives 2.0 Generic,"The 4th edition of Mobiance workshop, held in Grenoble in October 2019, brought together 18 international students (engineers, architects, marketing experts, and urban planners) from 6 different countries. The workshop goal was to focus on spatial and informational mobility without any technological limit, starting from a real transportation hub in Grenoble, namely Chavant. Their proposals show a city automatically adapting to the needs of citizens and continu- ously collecting data, even the most intimate one. They proposed omniscient digital universe that fluidly links the real and the digital spaces. Keeping in mind the limits and the drawback of such concepts, the future shared city might be a city made as a common.",mds,True,findable,0,0,0,0,0,2021-06-17T10:17:57.000Z,2021-06-17T10:17:58.000Z,jbru.aau,jbru,"Ambiance,Urban design,Mobility,Digital Common,Attention","[{'lang': 'eng', 'subject': 'Ambiance'}, {'lang': 'eng', 'subject': 'Urban design'}, {'lang': 'eng', 'subject': 'Mobility'}, {'lang': 'eng', 'subject': 'Digital Common'}, {'lang': 'eng', 'subject': 'Attention'}]",['6 pages'],['application/pdf']
+10.17178/emaa_c(13c)h_hyperfine_2bb79b69,Hyperfine excitation of C[13C]H by para-H2 collisions,"UGA, CNRS, CNRS-INSU, OSUG",2023,en,Dataset,"Please acknowledge the use of EMAA Database by citing the original articles in which the data were published (BibTeX format available), and adding the following sentence in your publication:
+This research has made use of spectroscopic and collisional data from the EMAA database (https://emaa.osug.fr). EMAA is supported by the Observatoire des Sciences de l'Univers de Grenoble (OSUG),Creative Commons Attribution 4.0 International,Data access and use are ruled by the EMAA data policy.",98 hyperfine energy levels / 119 radiative transitions / 4752 collisional transitions for para-H2 (20 temperatures in the range 5-100K),mds,True,findable,0,0,0,0,0,2023-12-07T15:50:34.000Z,2023-12-07T15:50:35.000Z,inist.osug,jbru,"target C[13C]H,excitationType Hyperfine,collisional excitation,collider.0 para-H2,astrophysics,interstellar medium,comets,circumstellar medium,gas,microwave spectroscopy,infrared spectroscopy,rotational excitation,rovibrational excitation,vibrational excitation,electronic excitation,collisional rate coefficients,fine structure,hyperfine structure","[{'subject': 'target C[13C]H', 'subjectScheme': 'main'}, {'subject': 'excitationType Hyperfine', 'subjectScheme': 'main'}, {'subject': 'collisional excitation', 'subjectScheme': 'main'}, {'subject': 'collider.0 para-H2', 'subjectScheme': 'var'}, {'subject': 'astrophysics', 'subjectScheme': 'var'}, {'subject': 'interstellar medium', 'subjectScheme': 'var'}, {'subject': 'comets', 'subjectScheme': 'var'}, {'subject': 'circumstellar medium', 'subjectScheme': 'var'}, {'subject': 'gas', 'subjectScheme': 'var'}, {'subject': 'microwave spectroscopy', 'subjectScheme': 'var'}, {'subject': 'infrared spectroscopy', 'subjectScheme': 'var'}, {'subject': 'rotational excitation', 'subjectScheme': 'var'}, {'subject': 'rovibrational excitation', 'subjectScheme': 'var'}, {'subject': 'vibrational excitation', 'subjectScheme': 'var'}, {'subject': 'electronic excitation', 'subjectScheme': 'var'}, {'subject': 'collisional rate coefficients', 'subjectScheme': 'var'}, {'subject': 'fine structure', 'subjectScheme': 'var'}, {'subject': 'hyperfine structure', 'subjectScheme': 'var'}]",,['Radex']
+10.5281/zenodo.3345743,"Companion code for ""When and how can Stacked Species Distribution Models predict local richness?""",Zenodo,2019,en,Software,Restricted Access,"<strong>When and how can Stacked Species Distribution Models predict local richness?</strong> This repository contains the data and code for our paper: Grenié M., Violle C, Munoz F.<em> When and how can Stacked Species Distribution Models predict local richness?</em>. submitted to <em>Ecological Indicators</em>. <strong>How to cite</strong> Please cite this compendium as: Grenié M., Violle C, Munoz F., (2019). <em>Compendium of R code and data for When and how can Stacked Species Distribution Models predict local richness?</em>. Accessed 29 july 2019. Online at <https://doi.org/10.5281/zenodo.3345743> <strong>How to download or install</strong> You can download the compendium from Zenodo https://doi.org/10.5281/zenodo.3345743 Or you can install this compendium as an R package, `comsat`, from<br> GitHub with: <pre><code># install.packages(""devtools"") remotes::install_github(""Rekyt/comsat"")</code></pre> <strong>How to run the analyses</strong> This compendium uses drake to make analyses reproducible. To redo the analyses and rebuild the manuscript run the following lines (from the `comsat` folder): <pre><code># install.packages(""devtools"") pkgload::load_all() # Load all functions included in the package make(comsat_drake_plan()) # Run Analyses</code></pre> Beware that some code make time a long time to run, and it may be useful<br> to run analyses in parallel.",mds,True,findable,0,0,0,0,0,2019-07-29T11:28:01.000Z,2019-07-29T11:28:02.000Z,cern.zenodo,cern,,,,
+10.17178/amma-catch.pa.met_snns,"Meteorological dataset (including radiative budget), in the Niakhar site (Faidherbia-Flux station), Senegal","IRD, CNRS-INSU, OSUG, OMP, OREME",2018,en,Dataset,"Creative Commons Attribution 4.0 International,Data access and use are ruled by the AMMA-CATCH data policy.,For any publication using AMMA-CATCH data, authors are asked to:
Mandatory: cite the reference article and the DOI of the observatory
@@ -3600,12 +3097,72 @@ Mandatory: cite the reference article and the DOI of the observatory
Optional: cite the DOI of each dataset used.
-Co-authorship: depending on the contribution of the data to the scientific results obtained, the authors should either propose co-authorship to the data providers or at least acknowledge their contribution.","Quantification of seasonal dynamics of herbaceous vegetation and tree foliage on sites for which the long term dynamics is also monitored (see CL.VegHerb_G). The main objectives are to analyze the different processes that control primary production and degradation of vegetation and to test models (e.g, STEP).",mds,True,findable,0,0,1,0,0,2018-03-16T15:37:06.000Z,2018-03-16T15:37:06.000Z,inist.osug,jbru,"Seasonal vegetation dynamics, herbs, tree foliage, vegetation phenology,Sahelian/Saharan climate,Foliage Clumping Index,Leaf Area Index,Vegetation Cover Fraction (from hemispherical photos),Vegetation Cover Fraction (from standard photos),Direct Fraction Of Absorbed Photosynthetically Active Radiation,Aboveground Herbaceous Mass,Aboveground Herbaceous Mass Standard Deviation,Diffuse Fraction Of Absorbed Photosynthetically Active Radiation,Plant Area Index","[{'subject': 'Seasonal vegetation dynamics, herbs, tree foliage, vegetation phenology', 'subjectScheme': 'main'}, {'subject': 'Sahelian/Saharan climate', 'subjectScheme': 'main'}, {'subject': 'Foliage Clumping Index', 'subjectScheme': 'var'}, {'subject': 'Leaf Area Index', 'subjectScheme': 'var'}, {'subject': 'Vegetation Cover Fraction (from hemispherical photos)', 'subjectScheme': 'var'}, {'subject': 'Vegetation Cover Fraction (from standard photos)', 'subjectScheme': 'var'}, {'subject': 'Direct Fraction Of Absorbed Photosynthetically Active Radiation', 'subjectScheme': 'var'}, {'subject': 'Aboveground Herbaceous Mass', 'subjectScheme': 'var'}, {'subject': 'Aboveground Herbaceous Mass Standard Deviation', 'subjectScheme': 'var'}, {'subject': 'Diffuse Fraction Of Absorbed Photosynthetically Active Radiation', 'subjectScheme': 'var'}, {'subject': 'Plant Area Index', 'subjectScheme': 'var'}]",,"['CSV', 'NETCDF', 'O&M 1.0']"
-10.17178/draixbleone_gal.all,DRAIXBLEONE Galabre Observatory,IGE - CNRS - OSUG,2020,en,Dataset,"Creative Commons Attribution 4.0 International,The following acknowledging sentence should appear in publications using data and products from the Galabre watershed of the Draix Bleone Observatory: ""DRAIX BLEONE is funded by the Institut National des Sciences de l’Univers (INSU/CNRS) and the Observatoire des Sciences de l’Univers de Grenoble (OSUG / Université Grenoble Alpes)â€.,Always quote below citation to Legout et al. (submitted) when using these data. Legout C., Freche G., Biron R., Esteves M., Nord G, Navratil O., Uber M., Grangeon T., Hachgenei N., Boudevillain B. A meso-scale observatory dedicated to suspended sediment transport understanding: the Galabre site (southern French Alps), submitted to Hydrological Processes.
+Co-authorship: depending on the contribution of the data to the scientific results obtained, the authors should either propose co-authorship to the data providers or at least acknowledge their contribution.",Document atmospheric forcing. Contribute to the Faidherbia-Flux flux station.,mds,True,findable,0,0,1,0,0,2022-12-09T16:47:54.000Z,2022-12-09T16:47:54.000Z,inist.osug,jbru,"Meteorology, radiative budget,Sahelian climate,Relative Humidity at height 2 m,Air Temperature at height 20 m,Wind Direction at height 20 m,Net Radiation at height 20 m,Wind Speed at height 4.5 m,Total Photosynthetically Active Radiation at height 20 m,Wind Speed at height 20 m,Air Pressure at height 20 m,Air Temperature at height 2 m,Precipitation Amount,Relative Humidity at height 20 m","[{'subject': 'Meteorology, radiative budget', 'subjectScheme': 'main'}, {'subject': 'Sahelian climate', 'subjectScheme': 'main'}, {'subject': 'Relative Humidity at height 2 m', 'subjectScheme': 'var'}, {'subject': 'Air Temperature at height 20 m', 'subjectScheme': 'var'}, {'subject': 'Wind Direction at height 20 m', 'subjectScheme': 'var'}, {'subject': 'Net Radiation at height 20 m', 'subjectScheme': 'var'}, {'subject': 'Wind Speed at height 4.5 m', 'subjectScheme': 'var'}, {'subject': 'Total Photosynthetically Active Radiation at height 20 m', 'subjectScheme': 'var'}, {'subject': 'Wind Speed at height 20 m', 'subjectScheme': 'var'}, {'subject': 'Air Pressure at height 20 m', 'subjectScheme': 'var'}, {'subject': 'Air Temperature at height 2 m', 'subjectScheme': 'var'}, {'subject': 'Precipitation Amount', 'subjectScheme': 'var'}, {'subject': 'Relative Humidity at height 20 m', 'subjectScheme': 'var'}]",,"['CSV', 'NETCDF', 'O&M 1.0']"
+10.48537/hal-03220383,"Ambient Outlines of Children’s Urban Experience, A Look Back at an Interpretative Methodology",Reseau International Ambiances,2020,en,Text,Creative Commons Attribution Non Commercial No Derivatives 2.0 Generic,"Ambient perception in virtual reality is split between perceiving the virtual space inside the headset and perceiving the surrounding physical environment. While promises of VR “immersion†frequently ignore the surrounding space, an ambient perspective reveals how immersion in VR is always at least double: any immersion in virtual space comes nested within an immersion in the atmospheres already surrounding VR use. This essay seeks to understand how these two layers cohere both spatially and temporally across the interface of the VR headset. An ambient perspective on VR demonstrates how even the most immersive media must be understood as shaped by the spaces surrounding the interface itself.",fabricaForm,True,findable,0,0,0,0,0,2021-06-08T09:32:48.000Z,2021-06-08T09:33:29.000Z,jbru.aau,jbru,"Ambiances,Children,Commented City Walks,Interpretative Methods","[{'lang': 'eng', 'subject': 'Ambiances'}, {'lang': 'eng', 'subject': 'Children'}, {'lang': 'eng', 'subject': 'Commented City Walks'}, {'lang': 'eng', 'subject': 'Interpretative Methods'}]",['6 pages'],['application/pdf']
+10.17178/emaa_ortho-nh2d_rotation_4f72e13c,Rotation excitation of ortho-NH2D by ortho-H2 and para-H2 collisions,"UGA, CNRS, CNRS-INSU, OSUG",2021,en,Dataset,"Please acknowledge the use of EMAA Database by citing the original articles in which the data were published (BibTeX format available), and adding the following sentence in your publication:
+This research has made use of spectroscopic and collisional data from the EMAA database (https://emaa.osug.fr). EMAA is supported by the Observatoire des Sciences de l'Univers de Grenoble (OSUG),Creative Commons Attribution 4.0 International,Data access and use are ruled by the EMAA data policy.",79 rotation energy levels / 466 radiative transitions / 3081 collisional transitions for para-H2 (13 temperatures in the range 5-300K) / 3081 collisional transitions for ortho-H2 (13 temperatures in the range 5-300K),mds,True,findable,0,0,0,0,0,2021-11-17T14:01:47.000Z,2021-11-17T14:01:47.000Z,inist.osug,jbru,"target ortho-NH2D,excitationType Rotation,collisional excitation,collider.0 para-H2,collider.1 ortho-H2,astrophysics,interstellar medium,comets,circumstellar medium,gas,microwave spectroscopy,infrared spectroscopy,rotational excitation,rovibrational excitation,vibrational excitation,electronic excitation,collisional rate coefficients,fine structure,hyperfine structure","[{'subject': 'target ortho-NH2D', 'subjectScheme': 'main'}, {'subject': 'excitationType Rotation', 'subjectScheme': 'main'}, {'subject': 'collisional excitation', 'subjectScheme': 'main'}, {'subject': 'collider.0 para-H2', 'subjectScheme': 'var'}, {'subject': 'collider.1 ortho-H2', 'subjectScheme': 'var'}, {'subject': 'astrophysics', 'subjectScheme': 'var'}, {'subject': 'interstellar medium', 'subjectScheme': 'var'}, {'subject': 'comets', 'subjectScheme': 'var'}, {'subject': 'circumstellar medium', 'subjectScheme': 'var'}, {'subject': 'gas', 'subjectScheme': 'var'}, {'subject': 'microwave spectroscopy', 'subjectScheme': 'var'}, {'subject': 'infrared spectroscopy', 'subjectScheme': 'var'}, {'subject': 'rotational excitation', 'subjectScheme': 'var'}, {'subject': 'rovibrational excitation', 'subjectScheme': 'var'}, {'subject': 'vibrational excitation', 'subjectScheme': 'var'}, {'subject': 'electronic excitation', 'subjectScheme': 'var'}, {'subject': 'collisional rate coefficients', 'subjectScheme': 'var'}, {'subject': 'fine structure', 'subjectScheme': 'var'}, {'subject': 'hyperfine structure', 'subjectScheme': 'var'}]",,['Radex']
+10.5281/zenodo.10341148,Chamois-CompCert with security features described in Monniaux / CPP 2024,Zenodo,2023,en,Software,INRIA Non-Commercial License Agreement,,api,True,findable,0,0,0,0,0,2023-12-10T18:08:44.000Z,2023-12-10T18:08:44.000Z,cern.zenodo,cern,"formally-verified compiler,Coq,software security,canaries,pointer authentication,CompCert,buffer overflow,tail-recursion elimination,compiler optimizations","[{'subject': 'formally-verified compiler'}, {'subject': 'Coq'}, {'subject': 'software security'}, {'subject': 'canaries'}, {'subject': 'pointer authentication'}, {'subject': 'CompCert'}, {'subject': 'buffer overflow'}, {'subject': 'tail-recursion elimination'}, {'subject': 'compiler optimizations'}]",,
+10.18709/perscido.2016.08.ds04,LastFM top-50 artists,PerSciDo,2016,en,Dataset,Creative Commons Attribution Non Commercial 4.0 International,A set of users and the 50 artists they listen the most to.,api,True,findable,0,0,0,0,0,2017-11-03T00:58:27.000Z,2017-11-03T00:58:27.000Z,inist.persyval,vcob,Computer Science,"[{'lang': 'en', 'subject': 'Computer Science'}]",['500 MB'],['sql']
+10.5281/zenodo.4753291,Fig. 25 in A New Perlodes Species And Its Subspecies From The Balkan Peninsula (Plecoptera: Perlodidae),Zenodo,2012,,Image,"Creative Commons Attribution 4.0 International,Open Access",Fig. 25. Known localities of Perlodes floridus floridus sp. n. (dot) and P. floridus peloponnesiacus ssp. n. (circle).,mds,True,findable,0,0,2,0,0,2021-05-12T18:33:54.000Z,2021-05-12T18:33:55.000Z,cern.zenodo,cern,"Biodiversity,Taxonomy,Animalia,Arthropoda,Insecta,Plecoptera,Perlodidae,Perlodes","[{'subject': 'Biodiversity'}, {'subject': 'Taxonomy'}, {'subject': 'Animalia'}, {'subject': 'Arthropoda'}, {'subject': 'Insecta'}, {'subject': 'Plecoptera'}, {'subject': 'Perlodidae'}, {'subject': 'Perlodes'}]",,
+10.5281/zenodo.163632,Trust 3D Dust Rt Slab Benchmark Data,Zenodo,2017,,Dataset,"Creative Commons Attribution 4.0,Open Access","Output global SEDs and images at selected wavelengths for the Slab benchmark of the TRUST collaboration. TRUST is a suite of benchmarks for 3D dust radiative transfer codes in astronomy.
-","The Galabre is a site of the DRAIX BLEONE observatory, member of the french network of critical zone observatories (OZCAR). It is dedicated to the observation of hydrosedimentary fluxes in a mesoscale watershed (20 km²) representative of the southern French Alps. The multivariable data set provides a characterisation of i) the meteorlogical forcing encountered in mediterranean mountainous areas, ii) the hydrological response of the watershed, iii) the soil erosion and associated suspended sediment fluxes as well as iv) the dissolved fluxes at the outlet of the cathment.",mds,True,findable,0,0,0,0,0,2020-09-15T15:58:36.000Z,2020-09-15T15:58:37.000Z,inist.osug,jbru,"Mediterranean mountainous climate,Precipitation,Surface water,Meteorology,Hydrology,Sediments,Soils,Water quality / Water chemistry","[{'subject': 'Mediterranean mountainous climate', 'subjectScheme': 'main'}, {'subject': 'Precipitation', 'subjectScheme': 'var'}, {'subject': 'Surface water', 'subjectScheme': 'var'}, {'subject': 'Meteorology', 'subjectScheme': 'var'}, {'subject': 'Hydrology', 'subjectScheme': 'var'}, {'subject': 'Sediments', 'subjectScheme': 'var'}, {'subject': 'Soils', 'subjectScheme': 'var'}, {'subject': 'Water quality / Water chemistry', 'subjectScheme': 'var'}]",,['CSV']
-10.17178/teil_lidar,Le Teil earthquake high resolution Lidar survey for the surface rupture,"IRD, CNRS-INSU",2020,fr,Dataset,"Creative Commons Attribution 4.0 International,The following sentence should appear in the acknowledgments of the publication: ""This dataset collection was supported by the INSU-CNRS, the “Failles actives France†program (FACT) of the Transverse Seismicity Action (ATS) of the French Seismologic and Geodetic Network RESIF, the IRD “Institute de Recherche pour le Développement"" in ISTerre and OSUG, at Université de Grenoble Alpes.""","Le 11 novembre 2019 à 10h52 un séisme d'une magnitude 5,2 MLv se produit à proximité de Montélimar. Une mission de terrain visant à cartographier la rupture au sol résultant du séisme a été organisée. Elle a fait appel à des instruments au sol, mais également dans les airs. Données LIDAR et nuage de points de mesure acquis sur la zone où les ruptures de surface ont été observées au sol. Acquisition LIDAR aéroporté lors du survol de la zone en hélicoptère. Les axes sont en mètres. Ces mesures pourront compléter l’inventaire des évidences de rupture effectué au sol, avec un cadre plus large et plus homogène (qui permet de s’abstraire de la couverture végétale notamment dans cette zone très boisée). Cette mission de cartographie s’inscrit dans une large mobilisation de la communauté scientifique nationale (INSU), et notamment de l'infrastructure de recherche RESIF et de l'action FACT. Cette infrastructure de recherche nationale est dédiée à l’observation et la compréhension de la structure et de la dynamique Terre interne. RESIF se base sur des réseaux d’observation de haut niveau technologique, composés d’instruments sismologiques, géodésiques et gravimétriques déployés de manière dense sur tout le territoire français. Les données recueillies permettent d’étudier avec une haute résolution spatio-temporelle la déformation du sol, les structures superficielles et profondes, la sismicité à l’échelle locale et globale et les aléas naturels, et plus particulièrement sismiques, sur le territoire français. RESIF s’intègre aux dispositifs européens (EPOS - European Plate Observing System) et mondiaux d’instruments permettant d’imager l’intérieur de la Terre dans sa globalité et d’étudier de nombreux phénomènes naturels.",mds,True,findable,0,0,0,0,0,2022-02-07T09:24:32.000Z,2022-02-07T09:24:32.000Z,inist.osug,jbru,"Digital Elevation Model,High resolution topographic data,post seismic acquisition","[{'subject': 'Digital Elevation Model', 'subjectScheme': 'main'}, {'subject': 'High resolution topographic data', 'subjectScheme': 'main'}, {'subject': 'post seismic acquisition', 'subjectScheme': 'main'}]",,
-10.17178/amma-catch.ce.sw_g,"Soil dataset (soil moisture and temperature profiles), within the Gourma site (30 000 km2), Mali","IRD, CNRS-INSU, OSUG, OMP, OREME",2004,en,Dataset,"Creative Commons Attribution 4.0 International,Data access and use are ruled by the AMMA-CATCH data policy.,For any publication using AMMA-CATCH data, authors are asked to:
+Paper describing the TRUST Slab benchmark is Gordon et al. (2017, A&A, 603, 114; http://adsabs.harvard.edu/abs/2017A&A...603A.114G)
+
+More details on TRUST at http://ipag.osug.fr/RT13/RTTRUST/.
+
+Code to make plots using this data at: https://github.com/karllark/trust_slab",,True,findable,1,0,0,0,0,2017-03-17T19:27:29.000Z,2017-03-17T19:27:29.000Z,cern.zenodo,cern,,,,
+10.6084/m9.figshare.c.6756888.v1,Flexible optical fiber channel modeling based on a neural network module,Optica Publishing Group,2023,,Collection,Creative Commons Attribution 4.0 International,"Optical fiber channel modeling which is essential in optical transmission system simulations and designs is usually based on the split-step Fourier method (SSFM), making the simulation quite time-consuming owing to the iteration steps. Here, we train a neural network module termed by NNSpan to learn the transfer function of one single fiber (G652 or G655) span with a length of 80km and successfully emulate long-haul optical transmission systems by cascading multiple NNSpans with a remarkable prediction accuracy even over a transmission distance of 1000km. Although training without erbium-doped fiber amplifier (EDFA) noise, NNSpan performs quite well when emulating the systems affected by EDFA noise. An optical bandpass filter can be added after EDFA optionally, making the simulation more flexible. Comparison with the SSFM shows that the NNSpan has a distinct computational advantage with the computation time reduced by a factor of 12. This method based on the NNSpan could be a supplementary option for optical transmission system simulations, thus contributing to system designs as well.",mds,True,findable,0,0,0,0,0,2023-08-10T20:33:33.000Z,2023-08-10T20:33:33.000Z,figshare.ars,otjm,Uncategorized,[{'subject': 'Uncategorized'}],,
+10.17178/emaa_c(18o)_rotation_a61158dd,"Rotation excitation of C[18O] by ortho-H2O, para-H2 and para-H2O collisions","UGA, CNRS, CNRS-INSU, OSUG",2021,en,Dataset,"Please acknowledge the use of EMAA Database by citing the original articles in which the data were published (BibTeX format available), and adding the following sentence in your publication:
+This research has made use of spectroscopic and collisional data from the EMAA database (https://emaa.osug.fr). EMAA is supported by the Observatoire des Sciences de l'Univers de Grenoble (OSUG),Creative Commons Attribution 4.0 International,Data access and use are ruled by the EMAA data policy.",11 rotation energy levels / 10 radiative transitions / 10 collisional transitions for para-H2 (9 temperatures in the range 2-40K) / 55 collisional transitions for para-H2O (20 temperatures in the range 5-100K) / 55 collisional transitions for ortho-H2O (20 temperatures in the range 5-100K),mds,True,findable,0,0,0,0,0,2022-02-07T11:24:11.000Z,2022-02-07T11:24:12.000Z,inist.osug,jbru,"target C[18O],excitationType Rotation,collisional excitation,collider.0 para-H2,collider.1 para-H2O,collider.2 ortho-H2O,astrophysics,interstellar medium,comets,circumstellar medium,gas,microwave spectroscopy,infrared spectroscopy,rotational excitation,rovibrational excitation,vibrational excitation,electronic excitation,collisional rate coefficients,fine structure,hyperfine structure","[{'subject': 'target C[18O]', 'subjectScheme': 'main'}, {'subject': 'excitationType Rotation', 'subjectScheme': 'main'}, {'subject': 'collisional excitation', 'subjectScheme': 'main'}, {'subject': 'collider.0 para-H2', 'subjectScheme': 'var'}, {'subject': 'collider.1 para-H2O', 'subjectScheme': 'var'}, {'subject': 'collider.2 ortho-H2O', 'subjectScheme': 'var'}, {'subject': 'astrophysics', 'subjectScheme': 'var'}, {'subject': 'interstellar medium', 'subjectScheme': 'var'}, {'subject': 'comets', 'subjectScheme': 'var'}, {'subject': 'circumstellar medium', 'subjectScheme': 'var'}, {'subject': 'gas', 'subjectScheme': 'var'}, {'subject': 'microwave spectroscopy', 'subjectScheme': 'var'}, {'subject': 'infrared spectroscopy', 'subjectScheme': 'var'}, {'subject': 'rotational excitation', 'subjectScheme': 'var'}, {'subject': 'rovibrational excitation', 'subjectScheme': 'var'}, {'subject': 'vibrational excitation', 'subjectScheme': 'var'}, {'subject': 'electronic excitation', 'subjectScheme': 'var'}, {'subject': 'collisional rate coefficients', 'subjectScheme': 'var'}, {'subject': 'fine structure', 'subjectScheme': 'var'}, {'subject': 'hyperfine structure', 'subjectScheme': 'var'}]",,['Radex']
+10.17178/emaa_o_fine_5038a7a8,"Fine excitation of O by H, He, ortho-H2 and para-H2 collisions","UGA, CNRS, CNRS-INSU, OSUG",2021,en,Dataset,"Please acknowledge the use of EMAA Database by citing the original articles in which the data were published (BibTeX format available), and adding the following sentence in your publication:
+This research has made use of spectroscopic and collisional data from the EMAA database (https://emaa.osug.fr). EMAA is supported by the Observatoire des Sciences de l'Univers de Grenoble (OSUG),Creative Commons Attribution 4.0 International,Data access and use are ruled by the EMAA data policy.",3 fine energy levels / 2 radiative transitions / 3 collisional transitions for para-H2 (21 temperatures in the range 10-8000K) / 3 collisional transitions for ortho-H2 (21 temperatures in the range 10-8000K) / 3 collisional transitions for H (21 temperatures in the range 10-8000K) / 3 collisional transitions for He (21 temperatures in the range 10-8000K),mds,True,findable,0,0,0,0,0,2021-11-17T14:01:22.000Z,2021-11-17T14:01:23.000Z,inist.osug,jbru,"target O,excitationType Fine,collisional excitation,collider.0 para-H2,collider.1 ortho-H2,collider.2 H,collider.3 He,astrophysics,interstellar medium,comets,circumstellar medium,gas,microwave spectroscopy,infrared spectroscopy,rotational excitation,rovibrational excitation,vibrational excitation,electronic excitation,collisional rate coefficients,fine structure,hyperfine structure","[{'subject': 'target O', 'subjectScheme': 'main'}, {'subject': 'excitationType Fine', 'subjectScheme': 'main'}, {'subject': 'collisional excitation', 'subjectScheme': 'main'}, {'subject': 'collider.0 para-H2', 'subjectScheme': 'var'}, {'subject': 'collider.1 ortho-H2', 'subjectScheme': 'var'}, {'subject': 'collider.2 H', 'subjectScheme': 'var'}, {'subject': 'collider.3 He', 'subjectScheme': 'var'}, {'subject': 'astrophysics', 'subjectScheme': 'var'}, {'subject': 'interstellar medium', 'subjectScheme': 'var'}, {'subject': 'comets', 'subjectScheme': 'var'}, {'subject': 'circumstellar medium', 'subjectScheme': 'var'}, {'subject': 'gas', 'subjectScheme': 'var'}, {'subject': 'microwave spectroscopy', 'subjectScheme': 'var'}, {'subject': 'infrared spectroscopy', 'subjectScheme': 'var'}, {'subject': 'rotational excitation', 'subjectScheme': 'var'}, {'subject': 'rovibrational excitation', 'subjectScheme': 'var'}, {'subject': 'vibrational excitation', 'subjectScheme': 'var'}, {'subject': 'electronic excitation', 'subjectScheme': 'var'}, {'subject': 'collisional rate coefficients', 'subjectScheme': 'var'}, {'subject': 'fine structure', 'subjectScheme': 'var'}, {'subject': 'hyperfine structure', 'subjectScheme': 'var'}]",,['Radex']
+10.18709/perscido.2016.11.ds08,Three months sample of Ontology-based student monitoring extracted from the national evaluation system of French Medical Schools,PerSciDo,2016,en,Dataset,Creative Commons Attribution Non Commercial No Derivatives 4.0 International,"This dataset contains a sample of student working session on SIDES platform from April to September 2015: 316803 actions of answer to tests on ECN items for 936 students. The dataset is modeled using RDF paradigm, based on the schema of OntoSides ontology.",api,True,findable,0,0,0,0,0,2017-11-03T01:12:24.000Z,2017-11-03T01:12:24.000Z,inist.persyval,vcob,"Computer Science,Medicine","[{'lang': 'en', 'subject': 'Computer Science'}, {'lang': 'en', 'subject': 'Medicine'}]",['500 MB'],"['ttl', 'pdf']"
+10.5281/zenodo.10062356,MIPkit-A (MISOMIP2),Zenodo,2023,en,Dataset,Creative Commons Attribution 4.0 International,"MIPkit-A (Amundsen Sea in MISOMIP2)
+Observational data kit gathered and reprocessed to facilitate the evaluation of ocean models as part of MISOMIP2.
+This entire dataset should be cited as:Â
+
+the MISOMIP2 MIPkit-A dataset (http://doi.org/10.5281/zenodo.10062356) that includes data collected through multiple cruises of Nathaniel B. Palmer (United States Antarctic Program), James C. Ross (British Antarctic Survey and Natural Environment Research Council), Araon (Korea Polar Research Institute), Oden (Swedish Polar Research) and Polarstern (Alfred Wegener Institute, Germany).
+For more specific use of some of the MIPkit-A data, we encourage people to cite the original data referenced below.
+__________________________________________
+Oce3d_MIPkitA_* : 3-dimensional temperature and salinity (horizontal slices every 100m)
+The hydrographic properties provided on horizontal sections at 15 depths come from the CTD measurements obtained during cruises of the following icebreaker research vessels: Nathaniel B. Palmer (United States Antarctic Program), James C. Ross (British Antarctic Survey and Natural Environment Research Council), Araon (Korea Polar Research Institute), Oden (Swedish Polar Research) and Polarstern (Alfred Wegener Institute, Germany). In this MIPkit, we have gathered data for the first months of 2009 (Jacobs 2009), 2010 (Swedish Polar Research Secretariat 2010; Gohl 2015), 2012 (Kim et al. 2012), 2014 (Heywood 2014; Ha et al. 2014), 2016 (Kim et al. 2016), 2017 (Gohl 2017), 2018 (Kim et al. 2018), 2019 (Larter et al. 2019) and 2020 (Wellner, 2020).
+__________________________________________
+OceSec<n>_MIPkitA_* : vertical sections
+The first vertical (OceSec1) section where we provide hydrographic data in the Amundsen Sea starts across the continental shelf break and follows the Eastern Pine Island Trough southward until Pine Island Ice Shelf. This section was monitored by the following cruises: N.B. Palmer in January 2009, Polarstern in March 2010 and Araon in February-March 2012 (Jacobs et al. 2011; Gohl 2015; Dutrieux et al. 2014). The second vertical section (OceSec2) starts across the continental shelf break and follows the Dotson-Getz Trough southward until the Dotson Ice Shelf. It was monitored by the aforementioned Araon expeditions in 2010–2011 and early 2012 (Kim et al. 2017).
+The files OceSec<n>_model_lon_lat.csv contain the coordinates (longitude, latitude) at which model data should be interpolated to be compared to the observational sections.
+__________________________________________
+OceMoor<n>_MIPkitA_* : moorings
+The first mooring site (OceMoor1) is located near the northern part of the Pine Island ice shelf front (102.07°W, 74.87°S) and captures the thermocline variability from 2012 to 2018 (""iSTAR-8"" in NERC iSTAR program, and ""pig-n"" in NERC Ocean Forcing Ice Change Program). The second mooring site (OceMoor2)is located near the southern part of the Pine Island ice shelf front (102.15°W, 75.05°S), was monitored between 2009 and 2016, then in 2019–2020 through the following moorings: ""BSR-5"" (Buoy Supported Riser; Jacobs 2009), ""iSTAR-9"" (NERC iSTAR Program), and ""pig-s"" (NERC Ocean Forcing Ice Change Program). This second site experienced a strong deepening of the thermocline in 2012–2013 (Webber et al. 2017), then a more moderate deepening in 2016. These two mooring sites are located only 20 km from each other, show distinct mean thermocline depth and more consistent variability (Joughin et al. 2021).
+The third mooring observation (OceMoor3, ""trough-e"" in NERC Ocean Forcing Ice Change Program) used in MISOMIP is at the eastern Pine Island trough (102.55°W, 71.33°S). The eastern trough is considered to be the entrance of mCDW reaching the Pine Island Ice Shelf (Jacobs et al. 2011; Nakayama et al. 2013; Webber et al. 2017) but only two years of mooring observation was conducted from 2014-2015 due to important sea ice cover. The fourth mooring site (OceMoor4) used in MISOMIP is at the western Pine Island trough (113.05°W, 71.56°S). Several mooring observations were conducted within 2 km of each other, allowing us to observe thermocline variability from 2009 to 2016 with one year gap in 2011: ""BSR-12"" (Jacobs 2009), ""iSTAR-1"" (NERC iSTAR Program), and ""trough-w"" (NERC Ocean Forcing Ice Change Program).
+Â
+__________________________________________
+The archive example_routines.zip contains example of Matlab routines that were used to prepare the MIPkit-A data.
+Â
+__________________________________________
+References
+Dutrieux, P., De Rydt, J., Jenkins, A., Holland, P. R., Ha, H. K., Lee, S. H., Steig, E. J., Ding, Q., Abrahamsen, E. P., and Schröder, M.: Strong sensitivity of Pine Island ice-shelf melting to climatic variability, Science, 343, 174–178, 2014.
+Gohl, K.: Station list and links to master tracks in different resolutions of POLARSTERN cruise ANT-XXVI/3, Wellington - Punta Arenas, 2010-01-30 - 2010-04-05, Tech. rep., Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven, https://doi.org/10.1594/PANGAEA.847944, 2015.
+Gohl, K.: The Expedition PS104 of the Research Vessel POLARSTERN to the Amundsen Sea in 2017, Reports on polar and marine research, Tech. rep., Alfred Wegener Institute for Polar and Marine Research, Bremerhaven, http://doi.org/10.2312/BzPM_0712_2017, 2017.
+Ha, H. K., Kim, T. W., Lee, H. J., Kang, C. Y., Hong, C. S., Wåhlin, A. K., Rolandsson, J., Karen, O., and Miles, T.: The Amundsen Sea Expedition (ANA04B): IBRV Araon, 24 December 2013 – 25 January 2014 – Chapther 1: Physical Oceanography, Tech. rep., Korea Polar Research Institute, Incheon, https://repository.kopri.re.kr/handle/201206/4605, 2014.
+Heywood, K. 690 J.: JR294/295 Cruise Report, Ice Sheet Stability Programme (iSTAR), RRS James Clark Ross, 26th February – 8th March 2014, Amundsen Sea, Tech. rep., Natural Environment Research Council (NERC), https://www.bodc.ac.uk/resources/inventories/cruise_inventory/report/13405/, 2014.
+Jacobs, S.: Cruise NBP0901, RVIB Nathaniel B. Palmer, Jan 05 – Feb 26 2009, Tech. rep., United States Antarctic Program, http://doi.org/10.7284/905547, 2009.
+Jacobs, S. S., Jenkins, A., Giulivi, C. F., and Dutrieux, P.: Stronger ocean circulation and increased melting under Pine Island Glacier ice shelf, Nature Geoscience, 4, 519–523, 2011.
+Joughin, I., Shapero, D., Smith, B., Dutrieux, P., and Barham, M.: Ice-shelf retreat drives recent Pine Island Glacier speedup, Science Advances, 7, eabg3080, 2021.
+Kim, T. W., H, H. K., and Hong, C. S.: The Amundsen Sea Expedition (ANA02C): IBRV Araon, 31 January 2012 – 20 March 2012 – Chapther 1: Hydrographic Survey, Tech. rep., Korea Polar Research Institute, Incheon, https://repository.kopri.re.kr/handle/201206/4603, 2012.
+Kim, T. W., Cho, K. H., Kim, C. S., Yang, H. W., La, H. S., Lee, J. H., Kim, D. K., Jung, J. H., Wåhlin, A. K., Assmann, K. M., Darelius, E., Abrahamsen, E. P., and Waite, N.: The Amundsen Sea Expedition (ANA06B): IBRV Araon, 6 January – 23 February 2016 – Chapther 1: Physical Oceanography in Amundsen Sea, Tech. rep., Korea Polar Research Institute, Incheon, https://ftp.nmdc.no/nmdc/UIB/Mooring/20181213/ANA06B_cruise_report.pdf, 2016.
+Kim, T.-W., Ha, H. K., Wåhlin, A. K., Lee, S., Kim, C.-S., Lee, J. H., and Cho, Y.-K.: Is Ekman pumping responsible for the seasonal variation of warm circumpolar deep water in the Amundsen Sea?, Continental Shelf Research, 132, 38–48, 2017.
+Kim, T. W., Cho, K. H., Park, T. W., Yang, H. W., Kim, Y., Assmann, K. M., Rolandsson, J., Dutrieux, P., Gobat, J., Beem, L., Richter, T., Buhl, D., and Durand, I.: The Amundsen Sea Expedition (ANA08B): IBRV Araon, 21 December 2017 – 13 February 2018 – Chapther 1: Physical Oceanography, Tech. rep., Korea Polar Research Institute, Incheon, https://repository.kopri.re.kr/handle/201206/9441, 2018.
+Larter, R., Barham, M., Boehme, L., Braddock, S., Graham, A., Hogan, K., Mazur, A., Minzoni, R., Queste, B., Sheehan, P., Spoth, M., Wåhlin, A., Bortolotto-d'Oliveira, G., Clark, R. W., Fitzgerald, V., Karam, S., Kirkham, J., Stedt, F., Zheng, Y., Beeler, C., Goodell, J., Rush, E., Snow, T., Welzenbach, L., Andersson, J., and Rolandsson, J.: Cruise NBP1902, RVIB Nathaniel B. Palmer, Jan 29 – Mar 25 2019, Tech. rep., United States Antarctic Program, http://doi.org/10.7284/908147, 2019.
+Nakayama, Y., Schröder, M., and Hellmer, H. H.: From circumpolar deep water to the glacial meltwater plume on the eastern Amundsen Shelf, Deep Sea Res. I, 77, 50–62, 2013.
+Swedish Polar Research Secretariat: Oden Southern Ocean 2009/10 - Conductivity-Temperature-Depth (CTD) Data Collected Onboard Icebreaker Oden during February through March 2010, Tech. rep., Swedish Polar Research, http://snd.gu.se/en/catalogue/dataset/ecds0220-1, 2010.
+Webber, B. G. M., Heywood, K. J., Stevens, D. P., Dutrieux, P., Abrahamsen, E. P., Jenkins, A., Jacobs, S. S., Ha, H. K., Lee, S. H., and Kim, T. W.: Mechanisms driving variability in the ocean forcing of Pine Island Glacier, Nature Communications, 8, 1–8, 2017.
+Wellner, J.: Cruise NBP2002, RVIB Nathaniel B. Palmer, Jan 25 2020 – Mar 08 2020, Tech. rep., United States Antarctic Program, http://doi.org/10.7284/908803, 2019.",api,True,findable,0,0,0,0,0,2023-11-01T14:53:42.000Z,2023-11-01T14:53:42.000Z,cern.zenodo,cern,,,,
+10.17178/emaa_para-nh2_hyperfine_0d542831,Hyperfine excitation of para-NH2 by ortho-H2 and para-H2 collisions,"UGA, CNRS, CNRS-INSU, OSUG",2022,en,Dataset,"Please acknowledge the use of EMAA Database by citing the original articles in which the data were published (BibTeX format available), and adding the following sentence in your publication:
+This research has made use of spectroscopic and collisional data from the EMAA database (https://emaa.osug.fr). EMAA is supported by the Observatoire des Sciences de l'Univers de Grenoble (OSUG),Creative Commons Attribution 4.0 International,Data access and use are ruled by the EMAA data policy.",76 hyperfine energy levels / 485 radiative transitions / 2665 collisional transitions for para-H2 (15 temperatures in the range 10-150K) / 2665 collisional transitions for ortho-H2 (15 temperatures in the range 10-150K),mds,True,findable,0,0,0,0,0,2022-02-07T11:26:14.000Z,2022-02-07T11:26:15.000Z,inist.osug,jbru,"target para-NH2,excitationType Hyperfine,collisional excitation,collider.0 para-H2,collider.1 ortho-H2,astrophysics,interstellar medium,comets,circumstellar medium,gas,microwave spectroscopy,infrared spectroscopy,rotational excitation,rovibrational excitation,vibrational excitation,electronic excitation,collisional rate coefficients,fine structure,hyperfine structure","[{'subject': 'target para-NH2', 'subjectScheme': 'main'}, {'subject': 'excitationType Hyperfine', 'subjectScheme': 'main'}, {'subject': 'collisional excitation', 'subjectScheme': 'main'}, {'subject': 'collider.0 para-H2', 'subjectScheme': 'var'}, {'subject': 'collider.1 ortho-H2', 'subjectScheme': 'var'}, {'subject': 'astrophysics', 'subjectScheme': 'var'}, {'subject': 'interstellar medium', 'subjectScheme': 'var'}, {'subject': 'comets', 'subjectScheme': 'var'}, {'subject': 'circumstellar medium', 'subjectScheme': 'var'}, {'subject': 'gas', 'subjectScheme': 'var'}, {'subject': 'microwave spectroscopy', 'subjectScheme': 'var'}, {'subject': 'infrared spectroscopy', 'subjectScheme': 'var'}, {'subject': 'rotational excitation', 'subjectScheme': 'var'}, {'subject': 'rovibrational excitation', 'subjectScheme': 'var'}, {'subject': 'vibrational excitation', 'subjectScheme': 'var'}, {'subject': 'electronic excitation', 'subjectScheme': 'var'}, {'subject': 'collisional rate coefficients', 'subjectScheme': 'var'}, {'subject': 'fine structure', 'subjectScheme': 'var'}, {'subject': 'hyperfine structure', 'subjectScheme': 'var'}]",,['Radex']
+10.5281/zenodo.5237575,French DBnary archive in original Lemon format,Zenodo,2021,fr,Dataset,"Creative Commons Attribution Share Alike 4.0 International,Open Access","The DBnary dataset is an extract of Wiktionary data from many language editions in RDF Format. Until July 1st 2017, the lexical data extracted from Wiktionary was modeled using the lemon vocabulary. This dataset contains the full archive of all DBnary dumps in Lemon format containing lexical information from French language edition, ranging from 27th August 2012 to 1st July 2017. After July 2017, DBnary data has been modeled using the ontolex model and will be available in another Zenodo entry.<br>",mds,True,findable,0,0,0,0,0,2021-08-24T07:05:18.000Z,2021-08-24T07:05:19.000Z,cern.zenodo,cern,"Wiktionary,Lemon,Lexical Data,RDF","[{'subject': 'Wiktionary'}, {'subject': 'Lemon'}, {'subject': 'Lexical Data'}, {'subject': 'RDF'}]",,
+10.18709/perscido.2019.04.ds242,"F-TRACT, ATLAS April 2019",PerSciDo,2019,en,Dataset,Creative Commons Attribution Non Commercial No Derivatives 4.0 International,"Connectivity probability as well as features describing fibers biophysical properties, estimated from CCEP data recorded in 315 patients, in the MarsAtlas, HCP-MMP1 and Lausanne2008 (resolutions 60, 125, 250) parcellation schemes. The CCEP features are: peak and onset latency (LatStart), amplitude, integral, duration and the velocity estimated from the onset latency and the fibers distance between the parcels.",fabrica,True,findable,0,0,0,5,0,2019-04-17T16:36:42.000Z,2019-04-17T16:36:42.000Z,inist.persyval,vcob,"Computer Science,Medicine","[{'lang': 'en', 'subject': 'Computer Science'}, {'lang': 'en', 'subject': 'Medicine'}]",['150 MB'],['tsv- mat']
+10.5281/zenodo.6078514,Earthquake Archaeological Effects documented in the Cusco area in 2019 (RISC project),Zenodo,2022,en,Dataset,"Creative Commons Attribution 4.0 International,Open Access","In 2019, the RISC project led to the implementation of an unprecedented archaeoseismological survey in the Cusco area, Peru. The main objective was to identify and map the earthquake-induced damage on the stone architecture of famous Inca archaeological sites. This spreadsheet summarizes all the observations. Each row corresponds to an Earthquake Archaeological Effect (EAE). For each strain structure, the columns contain information relative to the geographical and architectural contexts, the measurements and the level of confidence. The data were extracted from the RISC database, which supported the fieldwork. For more details about the design and structure of the RISC database please read: Combey et al. (2021) Monumental Inca remains and past seismic disasters: A relational database to support archaeoseismological investigations and cultural heritage preservation in the Andes, Journal of South American Earth Sciences, Volume 111, 103447,<br> https://doi.org/10.1016/j.jsames.2021.103447. The file is in support of the paper submitted to Quaternary International.",mds,True,findable,0,0,0,0,0,2022-07-10T10:37:48.000Z,2022-07-10T10:37:49.000Z,cern.zenodo,cern,"Archaeoseismology,Earthquake damage,Seismic Hazard,Cusco,Inca","[{'subject': 'Archaeoseismology'}, {'subject': 'Earthquake damage'}, {'subject': 'Seismic Hazard'}, {'subject': 'Cusco'}, {'subject': 'Inca'}]",,
+10.17178/amma-catch.cl.run_od,"Surface water dataset (river discharge), within the Donga watershed (600 km2), Benin","IRD, CNRS-INSU, OSUG, OMP, OREME",1997,en,Dataset,"Creative Commons Attribution 4.0 International,Data access and use are ruled by the AMMA-CATCH data policy.,For any publication using AMMA-CATCH data, authors are asked to:
Mandatory: cite the reference article and the DOI of the observatory
@@ -3614,14 +3171,18 @@ Mandatory: cite the reference article and the DOI of the observatory
Optional: cite the DOI of each dataset used.
-Co-authorship: depending on the contribution of the data to the scientific results obtained, the authors should either propose co-authorship to the data providers or at least acknowledge their contribution.","Monitoring soil moisture dynamic in the Sahel. The aim is to characterize the spatial variability of the soil moisture, with particular attention to the meridional gradient in the Gourma mesoscale site as well as the vertical and temporal variability. This data set will improve our understanding of land surface processes, continental water budget and surface-atmosphere feedbacks. It will be used in modelling and assimilation activities, as well as for validation of satellite products.",mds,True,findable,0,0,1,0,0,2018-03-16T15:37:03.000Z,2018-03-16T15:37:03.000Z,inist.osug,jbru,"Soil Temperature, soil moisture, soil water,Sahelian/Saharan climate,Soil Temperature at depth 1.2 m,Soil Temperature at depth 10 cm,Soil Moisture/Water Content at depth 30 cm,Soil Temperature at depth 60 cm,Soil Temperature at depth 80 cm,Soil Moisture/Water Content at depth 40 cm,Soil Moisture/Water Content at depth 4 m,Soil Temperature at depth 40 cm,Soil Moisture/Water Content at depth 20 cm,Soil Moisture/Water Content at depth 1 m,Soil Temperature at depth 30 cm,Soil Moisture/Water Content at depth 1.8 m,Soil Moisture/Water Content at depth 2.2 m,Soil Temperature at depth 20 cm,Soil Moisture/Water Content at depth 2.5 m,Soil Moisture/Water Content at depth 10 cm,Soil Moisture/Water Content at depth 60 cm,Soil Moisture/Water Content at depth 1.2 m,Soil Temperature at depth 5 cm (2),Soil Moisture/Water Content at depth 1.5 m,Soil Moisture/Water Content at depth 80 cm,Soil Temperature at depth 1 m,Soil Temperature at depth 5 cm,Soil Moisture/Water Content at depth 5 cm","[{'subject': 'Soil Temperature, soil moisture, soil water', 'subjectScheme': 'main'}, {'subject': 'Sahelian/Saharan climate', 'subjectScheme': 'main'}, {'subject': 'Soil Temperature at depth 1.2 m', 'subjectScheme': 'var'}, {'subject': 'Soil Temperature at depth 10 cm', 'subjectScheme': 'var'}, {'subject': 'Soil Moisture/Water Content at depth 30 cm', 'subjectScheme': 'var'}, {'subject': 'Soil Temperature at depth 60 cm', 'subjectScheme': 'var'}, {'subject': 'Soil Temperature at depth 80 cm', 'subjectScheme': 'var'}, {'subject': 'Soil Moisture/Water Content at depth 40 cm', 'subjectScheme': 'var'}, {'subject': 'Soil Moisture/Water Content at depth 4 m', 'subjectScheme': 'var'}, {'subject': 'Soil Temperature at depth 40 cm', 'subjectScheme': 'var'}, {'subject': 'Soil Moisture/Water Content at depth 20 cm', 'subjectScheme': 'var'}, {'subject': 'Soil Moisture/Water Content at depth 1 m', 'subjectScheme': 'var'}, {'subject': 'Soil Temperature at depth 30 cm', 'subjectScheme': 'var'}, {'subject': 'Soil Moisture/Water Content at depth 1.8 m', 'subjectScheme': 'var'}, {'subject': 'Soil Moisture/Water Content at depth 2.2 m', 'subjectScheme': 'var'}, {'subject': 'Soil Temperature at depth 20 cm', 'subjectScheme': 'var'}, {'subject': 'Soil Moisture/Water Content at depth 2.5 m', 'subjectScheme': 'var'}, {'subject': 'Soil Moisture/Water Content at depth 10 cm', 'subjectScheme': 'var'}, {'subject': 'Soil Moisture/Water Content at depth 60 cm', 'subjectScheme': 'var'}, {'subject': 'Soil Moisture/Water Content at depth 1.2 m', 'subjectScheme': 'var'}, {'subject': 'Soil Temperature at depth 5 cm (2)', 'subjectScheme': 'var'}, {'subject': 'Soil Moisture/Water Content at depth 1.5 m', 'subjectScheme': 'var'}, {'subject': 'Soil Moisture/Water Content at depth 80 cm', 'subjectScheme': 'var'}, {'subject': 'Soil Temperature at depth 1 m', 'subjectScheme': 'var'}, {'subject': 'Soil Temperature at depth 5 cm', 'subjectScheme': 'var'}, {'subject': 'Soil Moisture/Water Content at depth 5 cm', 'subjectScheme': 'var'}]",,"['CSV', 'NETCDF', 'O&M 1.0']"
-10.17178/emaa_sh-plus_hyperfine_da4d4f7a,"Hyperfine excitation of SH+ by H, electron, ortho-H2 and para-H2 collisions","UGA, CNRS, CNRS-INSU, OSUG",2021,en,Dataset,"Please acknowledge the use of EMAA Database by citing the original articles in which the data were published (BibTeX format available), and adding the following sentence in your publication:
-This research has made use of spectroscopic and collisional data from the EMAA database (https://emaa.osug.fr). EMAA is supported by the Observatoire des Sciences de l'Univers de Grenoble (OSUG),Creative Commons Attribution 4.0 International,Data access and use are ruled by the EMAA data policy.",67 hyperfine energy levels / 227 radiative transitions / 666 collisional transitions for para-H2 (32 temperatures in the range 10-500K) / 666 collisional transitions for ortho-H2 (32 temperatures in the range 10-500K) / 1790 collisional transitions for H (10 temperatures in the range 10-1000K) / 1945 collisional transitions for electron (11 temperatures in the range 10-2000K),mds,True,findable,0,0,0,0,0,2022-02-07T11:26:23.000Z,2022-02-07T11:26:24.000Z,inist.osug,jbru,"target SH+,excitationType Hyperfine,collisional excitation,collider.0 para-H2,collider.1 ortho-H2,collider.2 H,collider.3 electron,astrophysics,interstellar medium,comets,circumstellar medium,gas,microwave spectroscopy,infrared spectroscopy,rotational excitation,rovibrational excitation,vibrational excitation,electronic excitation,collisional rate coefficients,fine structure,hyperfine structure","[{'subject': 'target SH+', 'subjectScheme': 'main'}, {'subject': 'excitationType Hyperfine', 'subjectScheme': 'main'}, {'subject': 'collisional excitation', 'subjectScheme': 'main'}, {'subject': 'collider.0 para-H2', 'subjectScheme': 'var'}, {'subject': 'collider.1 ortho-H2', 'subjectScheme': 'var'}, {'subject': 'collider.2 H', 'subjectScheme': 'var'}, {'subject': 'collider.3 electron', 'subjectScheme': 'var'}, {'subject': 'astrophysics', 'subjectScheme': 'var'}, {'subject': 'interstellar medium', 'subjectScheme': 'var'}, {'subject': 'comets', 'subjectScheme': 'var'}, {'subject': 'circumstellar medium', 'subjectScheme': 'var'}, {'subject': 'gas', 'subjectScheme': 'var'}, {'subject': 'microwave spectroscopy', 'subjectScheme': 'var'}, {'subject': 'infrared spectroscopy', 'subjectScheme': 'var'}, {'subject': 'rotational excitation', 'subjectScheme': 'var'}, {'subject': 'rovibrational excitation', 'subjectScheme': 'var'}, {'subject': 'vibrational excitation', 'subjectScheme': 'var'}, {'subject': 'electronic excitation', 'subjectScheme': 'var'}, {'subject': 'collisional rate coefficients', 'subjectScheme': 'var'}, {'subject': 'fine structure', 'subjectScheme': 'var'}, {'subject': 'hyperfine structure', 'subjectScheme': 'var'}]",,['Radex']
-10.17178/emaa_ortho-nh2_hyperfine_6c2e5783,Hyperfine excitation of ortho-NH2 by ortho-H2 and para-H2 collisions,"UGA, CNRS, CNRS-INSU, OSUG",2022,en,Dataset,"Please acknowledge the use of EMAA Database by citing the original articles in which the data were published (BibTeX format available), and adding the following sentence in your publication:
-This research has made use of spectroscopic and collisional data from the EMAA database (https://emaa.osug.fr). EMAA is supported by the Observatoire des Sciences de l'Univers de Grenoble (OSUG),Creative Commons Attribution 4.0 International,Data access and use are ruled by the EMAA data policy.",231 hyperfine energy levels / 2995 radiative transitions / 24692 collisional transitions for para-H2 (15 temperatures in the range 10-150K) / 24692 collisional transitions for ortho-H2 (15 temperatures in the range 10-150K),mds,True,findable,0,0,0,0,0,2022-02-07T11:25:47.000Z,2022-02-07T11:25:48.000Z,inist.osug,jbru,"target ortho-NH2,excitationType Hyperfine,collisional excitation,collider.0 para-H2,collider.1 ortho-H2,astrophysics,interstellar medium,comets,circumstellar medium,gas,microwave spectroscopy,infrared spectroscopy,rotational excitation,rovibrational excitation,vibrational excitation,electronic excitation,collisional rate coefficients,fine structure,hyperfine structure","[{'subject': 'target ortho-NH2', 'subjectScheme': 'main'}, {'subject': 'excitationType Hyperfine', 'subjectScheme': 'main'}, {'subject': 'collisional excitation', 'subjectScheme': 'main'}, {'subject': 'collider.0 para-H2', 'subjectScheme': 'var'}, {'subject': 'collider.1 ortho-H2', 'subjectScheme': 'var'}, {'subject': 'astrophysics', 'subjectScheme': 'var'}, {'subject': 'interstellar medium', 'subjectScheme': 'var'}, {'subject': 'comets', 'subjectScheme': 'var'}, {'subject': 'circumstellar medium', 'subjectScheme': 'var'}, {'subject': 'gas', 'subjectScheme': 'var'}, {'subject': 'microwave spectroscopy', 'subjectScheme': 'var'}, {'subject': 'infrared spectroscopy', 'subjectScheme': 'var'}, {'subject': 'rotational excitation', 'subjectScheme': 'var'}, {'subject': 'rovibrational excitation', 'subjectScheme': 'var'}, {'subject': 'vibrational excitation', 'subjectScheme': 'var'}, {'subject': 'electronic excitation', 'subjectScheme': 'var'}, {'subject': 'collisional rate coefficients', 'subjectScheme': 'var'}, {'subject': 'fine structure', 'subjectScheme': 'var'}, {'subject': 'hyperfine structure', 'subjectScheme': 'var'}]",,['Radex']
-10.17178/emaa_hc3n_rotation_4ac6b479,"Rotation excitation of HC3N by electron, ortho-H2 and para-H2 collisions","UGA, CNRS, CNRS-INSU, OSUG",2021,en,Dataset,"Please acknowledge the use of EMAA Database by citing the original articles in which the data were published (BibTeX format available), and adding the following sentence in your publication:
-This research has made use of spectroscopic and collisional data from the EMAA database (https://emaa.osug.fr). EMAA is supported by the Observatoire des Sciences de l'Univers de Grenoble (OSUG),Creative Commons Attribution 4.0 International,Data access and use are ruled by the EMAA data policy.",38 rotation energy levels / 37 radiative transitions / 564 collisional transitions for para-H2 (20 temperatures in the range 10-300K) / 564 collisional transitions for ortho-H2 (20 temperatures in the range 10-300K) / 37 collisional transitions for electron (5 temperatures in the range 10-1000K),mds,True,findable,0,0,0,0,0,2021-11-17T14:00:59.000Z,2021-11-17T14:01:01.000Z,inist.osug,jbru,"target HC3N,excitationType Rotation,collisional excitation,collider.0 para-H2,collider.1 ortho-H2,collider.2 electron,astrophysics,interstellar medium,comets,circumstellar medium,gas,microwave spectroscopy,infrared spectroscopy,rotational excitation,rovibrational excitation,vibrational excitation,electronic excitation,collisional rate coefficients,fine structure,hyperfine structure","[{'subject': 'target HC3N', 'subjectScheme': 'main'}, {'subject': 'excitationType Rotation', 'subjectScheme': 'main'}, {'subject': 'collisional excitation', 'subjectScheme': 'main'}, {'subject': 'collider.0 para-H2', 'subjectScheme': 'var'}, {'subject': 'collider.1 ortho-H2', 'subjectScheme': 'var'}, {'subject': 'collider.2 electron', 'subjectScheme': 'var'}, {'subject': 'astrophysics', 'subjectScheme': 'var'}, {'subject': 'interstellar medium', 'subjectScheme': 'var'}, {'subject': 'comets', 'subjectScheme': 'var'}, {'subject': 'circumstellar medium', 'subjectScheme': 'var'}, {'subject': 'gas', 'subjectScheme': 'var'}, {'subject': 'microwave spectroscopy', 'subjectScheme': 'var'}, {'subject': 'infrared spectroscopy', 'subjectScheme': 'var'}, {'subject': 'rotational excitation', 'subjectScheme': 'var'}, {'subject': 'rovibrational excitation', 'subjectScheme': 'var'}, {'subject': 'vibrational excitation', 'subjectScheme': 'var'}, {'subject': 'electronic excitation', 'subjectScheme': 'var'}, {'subject': 'collisional rate coefficients', 'subjectScheme': 'var'}, {'subject': 'fine structure', 'subjectScheme': 'var'}, {'subject': 'hyperfine structure', 'subjectScheme': 'var'}]",,['Radex']
-10.17178/amma-catch.ce.raind_nc,"Precipitation dataset (daily rainfall), for the 2005-2010 period, high-density network over 100 km2, Niger","IRD, CNRS-INSU, OSUG, OMP, OREME",2005,en,Dataset,"Creative Commons Attribution 4.0 International,Data access and use are ruled by the AMMA-CATCH data policy.,For any publication using AMMA-CATCH data, authors are asked to:
+Co-authorship: depending on the contribution of the data to the scientific results obtained, the authors should either propose co-authorship to the data providers or at least acknowledge their contribution.","Long term measurements (LOP) of the river discharge to documentate the surface water balance of 6 nested catchments (12 to 586 km2). The electrical conductivity of river water is an integrative measure that allows documentation of the origin of waters (rainfall, surface and sub-surface runoff, water table drainage). Associated to the chemical characterization of water (CE.Wchem_Od), these data give insight into processes of runoff generation, allow to compute water balance components and constitute validation datasets for hydrological models.",mds,True,findable,0,0,2,1,0,2018-03-16T15:37:17.000Z,2018-03-16T15:37:18.000Z,inist.osug,jbru,"Discharge,Sudanian climate,Discharge/Flow (10 minutes),Water Level,Discharge/Flow,Discharge/Flow (15 minutes),Discharge/Flow (30 minutes)","[{'subject': 'Discharge', 'subjectScheme': 'main'}, {'subject': 'Sudanian climate', 'subjectScheme': 'main'}, {'subject': 'Discharge/Flow (10 minutes)', 'subjectScheme': 'var'}, {'subject': 'Water Level', 'subjectScheme': 'var'}, {'subject': 'Discharge/Flow', 'subjectScheme': 'var'}, {'subject': 'Discharge/Flow (15 minutes)', 'subjectScheme': 'var'}, {'subject': 'Discharge/Flow (30 minutes)', 'subjectScheme': 'var'}]",,"['CSV', 'NETCDF', 'O&M 1.0']"
+10.5281/zenodo.3813230,"Survey data of ""Mapping Research Output to the Sustainable Development Goals (SDGs)""",Zenodo,2020,en,Dataset,"Creative Commons Attribution 4.0 International,Open Access","<strong>This dataset contains information on what papers and concepts researchers find relevant to map domain specific research output to the 17 Sustainable Development Goals (SDGs).</strong> Sustainable Development Goals are the 17 global challenges set by the United Nations. Within each of the goals specific targets and indicators are mentioned to monitor the progress of reaching those goals by 2030. In an effort to capture how research is contributing to move the needle on those challenges, we earlier have made an initial classification model than enables to quickly identify what research output is related to what SDG. (This Aurora SDG dashboard is the initial outcome as proof of practice.) In order to validate our current classification model (on soundness/precision and completeness/recall), and receive input for improvement, a survey has been conducted to<strong> capture expert knowledge from senior researchers in their research domain related to the SDG</strong>. The survey was open to the world, but mainly distributed to researchers from the Aurora Universities Network. <strong>The survey was open from October 2019 till January 2020, and captured data from 244 respondents in Europe and North America.</strong> 17 surveys were created from a single template, where the content was made specific for each SDG. Content, like a random set of publications, of each survey was ingested by a data provisioning server. That collected research output metadata for each SDG in an earlier stage. It took on average 1 hour for a respondent to complete the survey.<strong> The outcome of the survey data can be used for validating current and optimizing future SDG classification models for mapping research output to the SDGs</strong>. <strong>The survey contains the following questions (see inside dataset for exact wording):</strong> <strong>Are you familiar with this SDG?</strong> Respondents could only proceed if they were familiar with the targets and indicators of this SDG. Goal of this question was to weed out un knowledgeable respondents and to increase the quality of the survey data. <strong>Suggest research papers that are relevant for this SDG (upload list)</strong> This question, to provide a list, was put first to reduce influenced by the other questions. Goal of this question was to measure the completeness/recall of the papers in the result set of our current classification model. (To lower the bar, these lists could be provided by either uploading a file from a reference manager (preferred) in .ris of bibtex format, or by a list of titles. This heterogenous input was processed further on by hand into a uniform format.) <strong>Select research papers that are relevant for this SDG (radio buttons: accept, reject)</strong> A randomly selected set of 100 papers was injected in the survey, out of the full list of thousands of papers in the result set of our current classification model. Goal of this question was to measure the soundness/precision of our current classification model. <strong>Select and Suggest Keywords related to SDG (checkboxes: accept | text field: suggestions)</strong> The survey was injected with the top 100 most frequent keywords that appeared in the metadata of the papers in the result set of the current classification model. respondents could select relevant keywords we found, and add ones in a blank text field. Goal of this question was to get suggestions for keywords we can use to increase the recall of relevant papers in a new classification model. <strong>Suggest SDG related glossaries with relevant keywords (text fields: url)</strong> Open text field to add URL to lists with hundreds of relevant keywords related to this SDG. Goal of this question was to get suggestions for keywords we can use to increase the recall of relevant papers in a new classification model. <strong>Select and Suggest Journals fully related to SDG (checkboxes: accept | text field: suggestions)</strong> The survey was injected with the top 100 most frequent journals that appeared in the metadata of the papers in the result set of the current classification model. Respondents could select relevant journals we found, and add ones in a blank text field. Goal of this question was to get suggestions for complete journals we can use to increase the recall of relevant papers in a new classification model. <strong>Suggest improvements for the current queries (text field: suggestions per target)</strong> We showed respondents the queries we used in our current classification model next to each of the targets within the goal. Open text fields were presented to change, add, re-order, delete something (keywords, boolean operators, etc. ) in the query to improve it in their opinion. Goal of this question was to get suggestions we can use to increase the recall and precision of relevant papers in a new classification model. <strong>In the dataset root you'll find the following folders and files:</strong> <strong>/00-survey-input/</strong> This contains the survey questions for all the individual SDGs. It also contains lists of EIDs categorised to the SDGs we used to make randomized selections from to present to the respondents. <strong>/01-raw-data/</strong> This contains the raw survey output. (Excluding privacy sensitive information for public release.) This data needs to be combined with the data on the provisioning server to make sense. <strong>/02-aggregated-data/</strong> This data is where individual responses are aggregated. Also the survey data is combined with the provisioning server, of all sdg surveys combined, responses are aggregated, and split per question type. <strong>/03-scripts/</strong> This contains scripts to split data, and to add descriptive metadata for text analysis in a later stage. <strong>/04-processed-data/</strong> This is the main final result that can be used for further analysis. Data is split by SDG into subdirectories, in there you'll find files per question type containing the aggregated data of the respondents. <strong>/images/</strong> images of the results used in this README.md. <strong>LICENSE.md</strong> terms and conditions for reusing this data. <strong>README.md</strong> description of the dataset; each subfolders contains a README.md file to futher describe the content of each sub-folder. <strong>In the /04-processed-data/ you'll find in each SDG sub-folder the following files.:</strong> <strong>SDG-survey-questions.pdf</strong> This file contains the survey questions <strong>SDG-survey-questions.doc</strong> This file contains the survey questions <strong>SDG-survey-respondents-per-sdg.csv</strong> Basic information about the survey and responses <strong>SDG-survey-city-heatmap.csv</strong> Origin of the respondents per SDG survey <strong>SDG-survey-suggested-publications.txt</strong> Formatted list of research papers researchers have uploaded or listed they want to see back in the result-set for this SDG. <strong>SDG-survey-suggested-publications-with-eid-match.csv</strong> same as above, only matched with an EID. EIDs are matched my Elsevier's internal fuzzy matching algorithm. Only papers with high confidence are show with a match of an EID, referring to a record in Scopus. <strong>SDG-survey-selected-publications-accepted.csv</strong> Based on our previous result set of papers, researchers were presented random samples, they selected papers they believe represent this SDG. (TRUE=accepted) <strong>SDG-survey-selected-publications-rejected.csv</strong> Based on our previous result set of papers, researchers were presented random samples, they selected papers they believe not to represent this SDG. (FALSE=rejected) <strong>SDG-survey-selected-keywords.csv</strong> Based on our previous result set of papers, we presented researchers the keywords that are in the metadata of those papers, they selected keywords they believe represent this SDG. <strong>SDG-survey-unselected-keywords.csv</strong> As ""selected-keywords"", this is the list of keywords that respondents have not selected to represent this SDG. <strong>SDG-survey-suggested-keywords.csv</strong> List of keywords researchers suggest to use to find papers related to this SDG <strong>SDG-survey-glossaries.csv</strong> List of glossaries, containing keywords, researchers suggest to use to find papers related to this SDG <strong>SDG-survey-selected-journals.csv</strong> Based on our previous result set of papers, we presented researchers the journals that are in the metadata of those papers, they selected journals they believe represent this SDG. <strong>SDG-survey-unselected-journals.csv</strong> As ""selected-journals"", this is the list of journals that respondents have not selected to represent this SDG. <strong>SDG-survey-suggested-journals.csv</strong> List of journals researchers suggest to use to find papers related to this SDG <strong>SDG-survey-suggested-query.csv</strong> List of query improvements researchers suggest to use to find papers related to this SDG <strong>Cite as:</strong> <em>Survey data of ""Mapping Research output to the SDGs""</em> by Aurora Universities Network (AUR) doi:10.5281/zenodo.3798385 <strong>Attribute as:</strong> <em><strong>Survey data of ""Mapping Research output to the SDGs</strong>""</em> by Aurora Universities Network (AUR); Alessandro Arienzo (UNA); Roberto Delle Donne (UNA); Ignasi Salvadó Estivill (URV); José Luis González Ugarte (URV); Didier Vercueil (UGA); Nykohla Strong (UAB); Eike Spielberg (UDE); Felix Schmidt (UDE); Linda Hasse (UDE); Ane Sesma (UEA); Baldvin Zarioh (UIC); Friedrich Gaigg (UIN); René Otten (VUA); Nicolien van der Grijp (VUA); Yasin Gunes (VUA); Peter van den Besselaar (VUA); Joeri Both (VUA); Maurice Vanderfeesten (VUA);<strong> is licensed under a Creative Commons Attribution 4.0 International License.</strong> https://aurora-network.global/project/sdg-analysis-bibliometrics-relevance/",mds,True,findable,0,0,0,1,0,2020-05-07T09:14:10.000Z,2020-05-07T09:14:10.000Z,cern.zenodo,cern,"Sustainable Development Goals,SDG,Mapping Research,Matching Research,Recision,Recall,Survey,Questionnaire,Aurora Universites,Classification model","[{'subject': 'Sustainable Development Goals'}, {'subject': 'SDG'}, {'subject': 'Mapping Research'}, {'subject': 'Matching Research'}, {'subject': 'Recision'}, {'subject': 'Recall'}, {'subject': 'Survey'}, {'subject': 'Questionnaire'}, {'subject': 'Aurora Universites'}, {'subject': 'Classification model'}]",,
+10.5281/zenodo.4761353,"Figs. 85-87. Dictyogenus fontium species complex, larva. 85 in Two New Species Of Dictyogenus Klapálek, 1904 (Plecoptera: Perlodidae) From The Jura Mountains Of France And Switzerland, And From The French Vercors And Chartreuse Massifs",Zenodo,2019,,Image,"Creative Commons Attribution 4.0 International,Open Access","Figs. 85-87. Dictyogenus fontium species complex, larva. 85. Pronotum, lateral view. Inner-alpine upper Isère Valley. Col de l'Iseran, Savoie dpt, France. Photo Alexandre Ruffoni. 86. Pronotum, lateral view. Inneralpine upper Swiss Rhône valley, Anniviers Valley, canton of Valais, Switzerland. Photo J.-P.G. Reding. 87. Hind leg, lateral view. Inner-alpine upper Swiss Rhône valley, Anniviers Valley, canton of Valais, Switzerland. Photo J.-P.G. Reding.",mds,True,findable,0,0,6,0,0,2021-05-14T07:52:15.000Z,2021-05-14T07:52:16.000Z,cern.zenodo,cern,"Biodiversity,Taxonomy,Animalia,Arthropoda,Insecta,Plecoptera,Perlodidae,Dictyogenus","[{'subject': 'Biodiversity'}, {'subject': 'Taxonomy'}, {'subject': 'Animalia'}, {'subject': 'Arthropoda'}, {'subject': 'Insecta'}, {'subject': 'Plecoptera'}, {'subject': 'Perlodidae'}, {'subject': 'Dictyogenus'}]",,
+10.17178/draixbleone_gal_rob_temp_1519,Temperature of the river Galabre at the Robine station of the Galabre watershed,IGE - CNRS - OSUG,2020,en,Dataset,"Creative Commons Attribution 4.0 International,The following acknowledging sentence should appear in publications using data and products from the Galabre watershed of the Draix Bleone Observatory: ""DRAIX BLEONE is funded by the Institut National des Sciences de l’Univers (INSU/CNRS) and the Observatoire des Sciences de l’Univers de Grenoble (OSUG / Université Grenoble Alpes)â€.,Always quote below citation to Legout et al. (submitted) when using these data. Legout C., Freche G., Biron R., Esteves M., Nord G, Navratil O., Uber M., Grangeon T., Hachgenei N., Boudevillain B. Voiron C., Spadini L. A critical zone observatory dedicated to suspended sediment transport: the meso-scale Galabre catchment (southern French Alps), submitted to Hydrological Processes.",This temperature data set is part of the DRAIXBLEONE_GAL observatory.,mds,True,findable,0,0,0,0,0,2020-09-15T15:58:52.000Z,2020-09-15T15:58:53.000Z,inist.osug,jbru,"Mediterranean mountainous climate,Surface water,Hydrology,Water quality / Water chemistry","[{'subject': 'Mediterranean mountainous climate', 'subjectScheme': 'main'}, {'subject': 'Surface water', 'subjectScheme': 'var'}, {'subject': 'Hydrology', 'subjectScheme': 'var'}, {'subject': 'Water quality / Water chemistry', 'subjectScheme': 'var'}]",,['CSV']
+10.5281/zenodo.4244325,"Configurations and scripts to reproduce the numerical simulations of ""A two-fluid model for immersed granular avalanches with dilatancy effects"" article",Zenodo,2020,en,Dataset,"Creative Commons Attribution 4.0 International,Open Access","This directory contains the main data to reproduce the results presented in the article ""A two-fluid model for immersed granular avalanches with dilatancy effects"" by Eduard Puig Montellà , Julien Chauchat, Bruno Chareyre, Cyrille Bonamy and Tian-Jian Hsu.<br> <br> The numerical results and experimental data extracted from Pailha et ad (2008) can be found inside ""NumericalData"" and ""ExperimentalData"" folders respectively. The script ""PressureVelocityPlot.py"" displays the evolution of the surface particle velocity and the excess of pore pressure with time for cases ranging from loose to dense granular avalanches. The input files needed to reproduce a dense granular avalanche (phi=0.592) in 1D and 2D are found in the following folders: ""1D_DenseCase"" and ""2D_DenseCase"". To accelerate the simulation, the files are given after 200 seconds of sedimentation in order to reach an equilibrium state. Please read the corresponding README.txt files to launch a 1D and/or a 2D simulation. Additionally, python scripts in each configuration are provided to evaluate the evolution of the main parameters during the avalanche.",mds,True,findable,0,0,0,0,0,2020-11-04T12:48:03.000Z,2020-11-04T12:48:04.000Z,cern.zenodo,cern,,,,
+10.48537/hal-03220373,"Urban Sonic Research and Sound Map, soundinbetweenness.org",Reseau International Ambiances,2020,en,Text,Creative Commons Attribution Non Commercial No Derivatives 2.0 Generic,"“Can sound be defined as a factor in the social reproduction of space?†The research culminated in the production of a sound map based on soundwalk recordings, soundscape analysis, and surveys. To better understand the relation of sound, individual & environment in urban fields, we aim to collect crowdsourced data through the website. Soundwalks have been converted into flipbooks of sound postcards – embedded QR codes – allowing users access to the website. Here, users can create postcards (upload field- records), participate in the survey, get to contribute to the body of sonic data pertaining to the urban environment, individual experi- ences to be then used as a resource for further soundscape analysis and to create awareness of everyday sonic fields in order to discuss urban public spaces.",mds,True,findable,0,0,0,0,0,2021-06-17T20:55:15.000Z,2021-06-17T20:55:16.000Z,jbru.aau,jbru,"Sound Map,Urban Soundscapes,Everyday Life,Participation,Sound-postcard,Flipbook","[{'lang': 'eng', 'subject': 'Sound Map'}, {'lang': 'eng', 'subject': 'Urban Soundscapes'}, {'lang': 'eng', 'subject': 'Everyday Life'}, {'lang': 'eng', 'subject': 'Participation'}, {'lang': 'eng', 'subject': 'Sound-postcard'}, {'lang': 'eng', 'subject': 'Flipbook'}]",['6 pages'],['application/pdf']
+10.17178/gnss.products.epos.2019.rapid,GNSS positions calculated in the framework of the EPOS initiative with IGS rapid products,"CNRS, OSUG, ISTERRE",2019,en,Dataset,"License: CC BY-NC-ND 4.0,Data access and use are ruled by the OSUG data policy.,The following acknowledging sentence should appear in publications using ISTerre GNSS products: ""GNSS products are calculated and provided by the Institut of Sciences de la Terre (ISTerre), belonging to the Institut National des Sciences de l’Univers (INSU/CNRS) and the Observatoire des Sciences de l’Univers de Grenoble (OSUG / Université Grenoble Alpes)"".
+You are invited to contact the PI(s) or lead scientist for more information about the data and to include the acknowledgement sentence in any publication using the data.","This dataset include all GNSS solutions processed by ISTerre with IGS rapid products in the framework of the EPOS initiative. These products are position time series (North, East and Vertical) calculated from rinex files using the double difference method with GAMIT software. These products are updated every day.",mds,True,findable,0,0,0,0,0,2019-11-08T14:59:31.000Z,2019-11-08T14:59:32.000Z,inist.osug,jbru,"GNSS products,GNSS data analysis,Time serie positioning","[{'subject': 'GNSS products', 'subjectScheme': 'main'}, {'subject': 'GNSS data analysis', 'subjectScheme': 'var'}, {'subject': 'Time serie positioning', 'subjectScheme': 'var'}]",,"['sinex', 'pos', 'PBO']"
+10.6084/m9.figshare.23575381.v1,Additional file 8 of Decoupling of arsenic and iron release from ferrihydrite suspension under reducing conditions: a biogeochemical model,figshare,2023,,Text,Creative Commons Attribution 4.0 International,Authors’ original file for figure 7,mds,True,findable,0,0,0,0,0,2023-06-25T03:11:57.000Z,2023-06-25T03:11:58.000Z,figshare.ars,otjm,"59999 Environmental Sciences not elsewhere classified,FOS: Earth and related environmental sciences,39999 Chemical Sciences not elsewhere classified,FOS: Chemical sciences,Ecology,FOS: Biological sciences,69999 Biological Sciences not elsewhere classified,Cancer","[{'subject': '59999 Environmental Sciences not elsewhere classified', 'schemeUri': 'http://www.abs.gov.au/ausstats/abs@.nsf/0/6BB427AB9696C225CA2574180004463E', 'subjectScheme': 'FOR'}, {'subject': 'FOS: Earth and related environmental sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': '39999 Chemical Sciences not elsewhere classified', 'schemeUri': 'http://www.abs.gov.au/ausstats/abs@.nsf/0/6BB427AB9696C225CA2574180004463E', 'subjectScheme': 'FOR'}, {'subject': 'FOS: Chemical sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Ecology'}, {'subject': 'FOS: Biological sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': '69999 Biological Sciences not elsewhere classified', 'schemeUri': 'http://www.abs.gov.au/ausstats/abs@.nsf/0/6BB427AB9696C225CA2574180004463E', 'subjectScheme': 'FOR'}, {'subject': 'Cancer'}]",['24064 Bytes'],
+10.17178/ohmcv.dsd.vb3.12-16.1,"DSD network, Villeneuve-de-Berg-3",CNRS - OSUG - OREME,2011,en,Dataset,"Data access and use are ruled by the OHMCV data policy.,The following acknowledging sentence should appear in publications using OHMCV data and products: ""OHMCV is funded by the Institut National des Sciences de l’Univers (INSU/CNRS) and the Observatoire des Sciences de l’Univers de Grenoble (OSUG / Université Grenoble Alpes)â€.",This dataset is part of the Cevennesâ€Vivarais Mediterranean Hydrometeorological Observatory (OHMCV),mds,True,findable,0,0,2,0,0,2017-10-17T13:24:26.000Z,2017-10-17T13:24:27.000Z,inist.osug,jbru,"Atmospheric conditions,Precipitation,Precipitation Rate,Droplet Size,DISDROMETERS,Ground networks,Hydrometeorological sites,Fixed Observation Stations","[{'subject': 'Atmospheric conditions', 'subjectScheme': 'main'}, {'subject': 'Precipitation', 'subjectScheme': 'main'}, {'subject': 'Precipitation Rate', 'subjectScheme': 'main'}, {'subject': 'Droplet Size', 'subjectScheme': 'main'}, {'subject': 'DISDROMETERS', 'subjectScheme': 'main'}, {'subject': 'Ground networks', 'subjectScheme': 'main'}, {'subject': 'Hydrometeorological sites', 'subjectScheme': 'main'}, {'subject': 'Fixed Observation Stations', 'subjectScheme': 'main'}]",,['NETCDF']
+10.48537/hal-03220253,"Artificial Lighting and Darkness in the Architectural and Urban Practices, Session 2 – Introduction",Reseau International Ambiances,2020,en,Text,Creative Commons Attribution Non Commercial No Derivatives 2.0 Generic,,fabrica,True,findable,0,0,0,0,0,2021-06-16T16:37:20.000Z,2021-06-16T16:37:20.000Z,jbru.aau,jbru,,,['1 pages'],['application/pdf']
+10.17178/amma-catch.ce.rain_nc,"Precipitation dataset (5 minutes rainfall), over the Niamey square degree site (16 000 km2), Niger","IRD, CNRS-INSU, OSUG, OMP, OREME",2005,en,Dataset,"Creative Commons Attribution 4.0 International,Data access and use are ruled by the AMMA-CATCH data policy.,For any publication using AMMA-CATCH data, authors are asked to:
Mandatory: cite the reference article and the DOI of the observatory
@@ -3630,15 +3191,15 @@ Mandatory: cite the reference article and the DOI of the observatory
Optional: cite the DOI of each dataset used.
-Co-authorship: depending on the contribution of the data to the scientific results obtained, the authors should either propose co-authorship to the data providers or at least acknowledge their contribution.","Documentation of Sahelian rainfall at the local scale in order to analyse links between rainfall and the current vegetation, how does vegetation influence the location of rain fields ?",mds,True,findable,0,0,1,0,0,2018-03-16T15:36:57.000Z,2018-03-16T15:36:58.000Z,inist.osug,jbru,"Daily rainfall, precipitation, tropical convection,Sahelian climate,Precipitation Amount","[{'subject': 'Daily rainfall, precipitation, tropical convection', 'subjectScheme': 'main'}, {'subject': 'Sahelian climate', 'subjectScheme': 'main'}, {'subject': 'Precipitation Amount', 'subjectScheme': 'var'}]",,"['CSV', 'NETCDF', 'O&M 1.0']"
-10.17178/emaa_para-h2o_rotation_18d206fb,Rotation excitation of para-H2O by H and electron collisions,"UGA, CNRS, CNRS-INSU, OSUG",2022,en,Dataset,"Please acknowledge the use of EMAA Database by citing the original articles in which the data were published (BibTeX format available), and adding the following sentence in your publication:
-This research has made use of spectroscopic and collisional data from the EMAA database (https://emaa.osug.fr). EMAA is supported by the Observatoire des Sciences de l'Univers de Grenoble (OSUG),Creative Commons Attribution 4.0 International,Data access and use are ruled by the EMAA data policy.",45 rotation energy levels / 126 radiative transitions / 990 collisional transitions for H (14 temperatures in the range 5-1500K) / 91 collisional transitions for electron (9 temperatures in the range 10-500K),mds,True,findable,0,0,0,0,0,2022-02-07T11:26:02.000Z,2022-02-07T11:26:03.000Z,inist.osug,jbru,"target para-H2O,excitationType Rotation,collisional excitation,collider.0 H,collider.1 electron,astrophysics,interstellar medium,comets,circumstellar medium,gas,microwave spectroscopy,infrared spectroscopy,rotational excitation,rovibrational excitation,vibrational excitation,electronic excitation,collisional rate coefficients,fine structure,hyperfine structure","[{'subject': 'target para-H2O', 'subjectScheme': 'main'}, {'subject': 'excitationType Rotation', 'subjectScheme': 'main'}, {'subject': 'collisional excitation', 'subjectScheme': 'main'}, {'subject': 'collider.0 H', 'subjectScheme': 'var'}, {'subject': 'collider.1 electron', 'subjectScheme': 'var'}, {'subject': 'astrophysics', 'subjectScheme': 'var'}, {'subject': 'interstellar medium', 'subjectScheme': 'var'}, {'subject': 'comets', 'subjectScheme': 'var'}, {'subject': 'circumstellar medium', 'subjectScheme': 'var'}, {'subject': 'gas', 'subjectScheme': 'var'}, {'subject': 'microwave spectroscopy', 'subjectScheme': 'var'}, {'subject': 'infrared spectroscopy', 'subjectScheme': 'var'}, {'subject': 'rotational excitation', 'subjectScheme': 'var'}, {'subject': 'rovibrational excitation', 'subjectScheme': 'var'}, {'subject': 'vibrational excitation', 'subjectScheme': 'var'}, {'subject': 'electronic excitation', 'subjectScheme': 'var'}, {'subject': 'collisional rate coefficients', 'subjectScheme': 'var'}, {'subject': 'fine structure', 'subjectScheme': 'var'}, {'subject': 'hyperfine structure', 'subjectScheme': 'var'}]",,['Radex']
-10.17178/emaa_h(13c)o-plus_rotation_326f961f,"Rotation excitation of H[13C]O+ by electron, ortho-H2 and para-H2 collisions","UGA, CNRS, CNRS-INSU, OSUG",2021,en,Dataset,"Please acknowledge the use of EMAA Database by citing the original articles in which the data were published (BibTeX format available), and adding the following sentence in your publication:
-This research has made use of spectroscopic and collisional data from the EMAA database (https://emaa.osug.fr). EMAA is supported by the Observatoire des Sciences de l'Univers de Grenoble (OSUG),Creative Commons Attribution 4.0 International,Data access and use are ruled by the EMAA data policy.",22 rotation energy levels / 21 radiative transitions / 132 collisional transitions for electron (12 temperatures in the range 10-1000K) / 231 collisional transitions for ortho-H2 (9 temperatures in the range 10-200K) / 231 collisional transitions for para-H2 (9 temperatures in the range 10-200K),mds,True,findable,0,0,0,0,0,2021-11-18T13:34:52.000Z,2021-11-18T13:34:53.000Z,inist.osug,jbru,"target H[13C]O+,excitationType Rotation,collisional excitation,collider.0 electron,collider.1 ortho-H2,collider.2 para-H2,astrophysics,interstellar medium,comets,circumstellar medium,gas,microwave spectroscopy,infrared spectroscopy,rotational excitation,rovibrational excitation,vibrational excitation,electronic excitation,collisional rate coefficients,fine structure,hyperfine structure","[{'subject': 'target H[13C]O+', 'subjectScheme': 'main'}, {'subject': 'excitationType Rotation', 'subjectScheme': 'main'}, {'subject': 'collisional excitation', 'subjectScheme': 'main'}, {'subject': 'collider.0 electron', 'subjectScheme': 'var'}, {'subject': 'collider.1 ortho-H2', 'subjectScheme': 'var'}, {'subject': 'collider.2 para-H2', 'subjectScheme': 'var'}, {'subject': 'astrophysics', 'subjectScheme': 'var'}, {'subject': 'interstellar medium', 'subjectScheme': 'var'}, {'subject': 'comets', 'subjectScheme': 'var'}, {'subject': 'circumstellar medium', 'subjectScheme': 'var'}, {'subject': 'gas', 'subjectScheme': 'var'}, {'subject': 'microwave spectroscopy', 'subjectScheme': 'var'}, {'subject': 'infrared spectroscopy', 'subjectScheme': 'var'}, {'subject': 'rotational excitation', 'subjectScheme': 'var'}, {'subject': 'rovibrational excitation', 'subjectScheme': 'var'}, {'subject': 'vibrational excitation', 'subjectScheme': 'var'}, {'subject': 'electronic excitation', 'subjectScheme': 'var'}, {'subject': 'collisional rate coefficients', 'subjectScheme': 'var'}, {'subject': 'fine structure', 'subjectScheme': 'var'}, {'subject': 'hyperfine structure', 'subjectScheme': 'var'}]",,['Radex']
-10.17178/cryobsclim.clb.lacblanc,"Lac Blanc, Automatic Weather Station",CNRS - OSUG - Meteo France - Irstea,2000,,Dataset,"Data access and use are ruled by the CRYOBS-CLIM data policy.,Always quote below citation to Guyomarch et al. (2019) when using data.
-G. Guyomarc'h, H. bellot, V. Vionnet, F. Naaim-Bouvet, Y. Deliot, F. Fontaine, P. Pugliese, M. Naaim, K. Nishimura, A meteorological and blowing snow data set (2000-2016) from a high altitude alpine site (Col du Lac Blanc, France, 2720 m a.s.l), Earth System Science Data, 11(2019), 57-69, https://doi.org/10.5194/essd-11-57-2019. The following acknowledging sentence should appear in publications using Cryobs-Clim-CLB data and products: ""Cryobs-Clim Col du Lac Blanc is funded by Meteo France, Irstea, the Institut National des Sciences de l’Univers (INSU/CNRS), and the Observatoire des Sciences de l’Univers de Grenoble (OSUG / Université Grenoble Alpes)â€. You are invited to contact the PI(s) or lead scientist for more information about the data and to include the acknowledgement sentence in any publication using the data.","This dataset is part of the Cryobs-Clim-CLB (CRYosphere, an OBServatory of the CLIMate – Col du Lac Blanc) observatory",mds,True,findable,0,0,1,0,0,2018-04-09T10:16:36.000Z,2018-04-09T10:16:37.000Z,inist.osug,jbru,"Wind speed,Wind direction,Air temperature,Snow depth","[{'subject': 'Wind speed', 'subjectScheme': 'main'}, {'subject': 'Wind direction', 'subjectScheme': 'main'}, {'subject': 'Air temperature', 'subjectScheme': 'main'}, {'subject': 'Snow depth', 'subjectScheme': 'main'}]",,['CSV']
-10.17178/amma-catch.ce.raind_nct,"Precipitation dataset (daily rainfall), over the Tondikiboro and Mele Haoussa watersheds (< 35 ha), Niger","IRD, CNRS-INSU, OSUG, OMP, OREME",2006,en,Dataset,"Creative Commons Attribution 4.0 International,Data access and use are ruled by the AMMA-CATCH data policy.,For any publication using AMMA-CATCH data, authors are asked to:
-
+Co-authorship: depending on the contribution of the data to the scientific results obtained, the authors should either propose co-authorship to the data providers or at least acknowledge their contribution.","Documentation of rainfall in the Sahelian zone. The aim is to characterize the temporal and spatial variability of rainfall down to the local scale, where process studies are carried on. Data is used in hydrological modelling and process studies.",mds,True,findable,0,0,2,0,0,2018-03-16T15:36:59.000Z,2018-03-16T15:36:59.000Z,inist.osug,jbru,"Rainfall, precipitation, tropical convection,Sahelian climate,Precipitation Amount (previous hour),Precipitation Amount (previous 5 minutes),Precipitation Amount (previous 24 hours)","[{'subject': 'Rainfall, precipitation, tropical convection', 'subjectScheme': 'main'}, {'subject': 'Sahelian climate', 'subjectScheme': 'main'}, {'subject': 'Precipitation Amount (previous hour)', 'subjectScheme': 'var'}, {'subject': 'Precipitation Amount (previous 5 minutes)', 'subjectScheme': 'var'}, {'subject': 'Precipitation Amount (previous 24 hours)', 'subjectScheme': 'var'}]",,"['CSV', 'NETCDF', 'O&M 1.0']"
+10.5281/zenodo.4751241,X-ray diffraction tomography dataset of archaeological ceramic,Zenodo,2021,,Dataset,"Creative Commons Attribution 4.0 International,Open Access","<br> This dataset contains a subset of processed data that was acquired using X-ray diffraction tomography (XRD-CT) at the ID15A beamline at the European Synchrotron (ESRF), Grenoble, France. The imaged object is an archaeological ceramic, whose fragments are kept at the University of Milan. High-energy X-ray diffraction measurements were taken at the ID15A beamline using a monochromatic pencil beam (90 keV energy). Data was collected of 3 horizontal slices, spaced 7 mm apart, and acquisition of each slice took 20 minutes. Acquisition was performed in 273 translation steps over a scan range of 12 mm and in 225 rotational steps over an angular range of 180 degrees. Sinograms were computed from the acquired images using the pyFAI library. A subset of the sinograms was selected, containing 3 horizontal slices with 11 channels each. The provided HDF5 file contains two subdatasets: - omega: 225 elements<br> - rotation angle in degrees<br> - sinograms: 11 x 3 x 225 x 273 elements<br> - 11 channels (corresponding to diffraction angle)<br> - 3 horizontal slices<br> - 225 rotation angles<br> - 273 horizontal pixels",mds,True,findable,0,0,0,1,0,2021-05-14T10:33:00.000Z,2021-05-14T10:33:01.000Z,cern.zenodo,cern,"Synchrotron,X-ray diffraction tomography","[{'subject': 'Synchrotron'}, {'subject': 'X-ray diffraction tomography'}]",,
+10.5281/zenodo.7978514,Danaroth83/irca: v1.1,Zenodo,2023,,Software,Open Access,Added wavelength axis to spectra and transmittance responses.,mds,True,findable,0,0,0,0,0,2023-05-28T06:40:25.000Z,2023-05-28T06:40:26.000Z,cern.zenodo,cern,,,,
+10.17178/emaa_para-h2co_rotation_0b3b04a6,Rotation excitation of para-H2CO by ortho-H2 and para-H2 collisions,"UGA, CNRS, CNRS-INSU, OSUG",2021,en,Dataset,"Please acknowledge the use of EMAA Database by citing the original articles in which the data were published (BibTeX format available), and adding the following sentence in your publication:
+This research has made use of spectroscopic and collisional data from the EMAA database (https://emaa.osug.fr). EMAA is supported by the Observatoire des Sciences de l'Univers de Grenoble (OSUG),Creative Commons Attribution 4.0 International,Data access and use are ruled by the EMAA data policy.",41 rotation energy levels / 115 radiative transitions / 820 collisional transitions for ortho-H2 (21 temperatures in the range 10-300K) / 820 collisional transitions for para-H2 (21 temperatures in the range 10-300K),mds,True,findable,0,0,0,0,0,2021-11-17T14:02:02.000Z,2021-11-17T14:02:04.000Z,inist.osug,jbru,"target para-H2CO,excitationType Rotation,collisional excitation,collider.0 ortho-H2,collider.1 para-H2,astrophysics,interstellar medium,comets,circumstellar medium,gas,microwave spectroscopy,infrared spectroscopy,rotational excitation,rovibrational excitation,vibrational excitation,electronic excitation,collisional rate coefficients,fine structure,hyperfine structure","[{'subject': 'target para-H2CO', 'subjectScheme': 'main'}, {'subject': 'excitationType Rotation', 'subjectScheme': 'main'}, {'subject': 'collisional excitation', 'subjectScheme': 'main'}, {'subject': 'collider.0 ortho-H2', 'subjectScheme': 'var'}, {'subject': 'collider.1 para-H2', 'subjectScheme': 'var'}, {'subject': 'astrophysics', 'subjectScheme': 'var'}, {'subject': 'interstellar medium', 'subjectScheme': 'var'}, {'subject': 'comets', 'subjectScheme': 'var'}, {'subject': 'circumstellar medium', 'subjectScheme': 'var'}, {'subject': 'gas', 'subjectScheme': 'var'}, {'subject': 'microwave spectroscopy', 'subjectScheme': 'var'}, {'subject': 'infrared spectroscopy', 'subjectScheme': 'var'}, {'subject': 'rotational excitation', 'subjectScheme': 'var'}, {'subject': 'rovibrational excitation', 'subjectScheme': 'var'}, {'subject': 'vibrational excitation', 'subjectScheme': 'var'}, {'subject': 'electronic excitation', 'subjectScheme': 'var'}, {'subject': 'collisional rate coefficients', 'subjectScheme': 'var'}, {'subject': 'fine structure', 'subjectScheme': 'var'}, {'subject': 'hyperfine structure', 'subjectScheme': 'var'}]",,['Radex']
+10.17178/ohmcv.dsd.pvi.12-16.1,"DSD network, Pradel-Vignes",CNRS - OSUG - OREME,2009,en,Dataset,"Data access and use are ruled by the OHMCV data policy.,The following acknowledging sentence should appear in publications using OHMCV data and products: ""OHMCV is funded by the Institut National des Sciences de l’Univers (INSU/CNRS) and the Observatoire des Sciences de l’Univers de Grenoble (OSUG / Université Grenoble Alpes)â€.",This dataset is part of the Cevennesâ€Vivarais Mediterranean Hydrometeorological Observatory (OHMCV),mds,True,findable,0,0,2,0,0,2017-10-17T13:24:17.000Z,2017-10-17T13:24:18.000Z,inist.osug,jbru,"Atmospheric conditions,Precipitation Rate,Droplet Size,DISDROMETERS,Ground networks,Hydrometeorological sites,Fixed Observation Stations","[{'subject': 'Atmospheric conditions', 'subjectScheme': 'main'}, {'subject': 'Precipitation Rate', 'subjectScheme': 'main'}, {'subject': 'Droplet Size', 'subjectScheme': 'main'}, {'subject': 'DISDROMETERS', 'subjectScheme': 'main'}, {'subject': 'Ground networks', 'subjectScheme': 'main'}, {'subject': 'Hydrometeorological sites', 'subjectScheme': 'main'}, {'subject': 'Fixed Observation Stations', 'subjectScheme': 'main'}]",,['NETCDF']
+10.23658/taltech.43/2020,Runup of Nonlinear Waves of Different Shapes on a Plane Beach Including Effects of Dispersion and Wave Breaking,Tallinn University of Technology,2020,en,Text,Creative Commons Attribution Non Commercial Share Alike 4.0 International,,fabricaForm,True,findable,0,0,0,0,0,2020-12-18T13:35:52.000Z,2020-12-18T13:35:53.000Z,estdoi.ttu,qnur,"FOS: Natural sciences,FOS: Earth and related environmental sciences","[{'subject': 'FOS: Natural sciences', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'FOS: Earth and related environmental sciences', 'subjectScheme': 'Fields of Science and Technology (FOS)'}]","['18,09 MB']",['PDF']
+10.17178/amma-catch.ce.rain_nc_9004,"Precipitation dataset (5 minutes rainfall), for the 1990-2004 period over the Niamey square degree site (16 000 km2), Niger","IRD, CNRS-INSU, OSUG, OMP, OREME",1990,en,Dataset,"Creative Commons Attribution 4.0 International,Data access and use are ruled by the AMMA-CATCH data policy.,For any publication using AMMA-CATCH data, authors are asked to:
+
Mandatory: cite the reference article and the DOI of the observatory
(1) Galle et al. (2018). AMMA-CATCH a Critical Zone Observatory in West Africa Monitoring a Region in Transition. Vadose Zone Journal, 17 (1), 18006.
@@ -3646,12 +3207,280 @@ Mandatory: cite the reference article and the DOI of the observatory
Optional: cite the DOI of each dataset used.
-Co-authorship: depending on the contribution of the data to the scientific results obtained, the authors should either propose co-authorship to the data providers or at least acknowledge their contribution.",Documentation of daily rainfall in the Sahel. The aim is to characterize the temporal and spatial variability within the Tondikiboro and Mele Haoussa local sites. Data will be used in modelling the local rainfall/runoff relationship (see CE.Run_Nct) as well as to complete the automatic raingauge network.,mds,True,findable,0,0,1,0,0,2018-03-16T15:36:58.000Z,2018-03-16T15:36:59.000Z,inist.osug,jbru,"Daily rainfall, precipitation, tropical convection,Sahelian climate,Precipitation Amount","[{'subject': 'Daily rainfall, precipitation, tropical convection', 'subjectScheme': 'main'}, {'subject': 'Sahelian climate', 'subjectScheme': 'main'}, {'subject': 'Precipitation Amount', 'subjectScheme': 'var'}]",,"['CSV', 'NETCDF', 'O&M 1.0']"
-10.17178/emaa_hcn_hyperfine_73e9d7ef,Hyperfine excitation of HCN by electron and para-H2 collisions,"UGA, CNRS, CNRS-INSU, OSUG",2021,en,Dataset,"Please acknowledge the use of EMAA Database by citing the original articles in which the data were published (BibTeX format available), and adding the following sentence in your publication:
-This research has made use of spectroscopic and collisional data from the EMAA database (https://emaa.osug.fr). EMAA is supported by the Observatoire des Sciences de l'Univers de Grenoble (OSUG),Creative Commons Attribution 4.0 International,Data access and use are ruled by the EMAA data policy.",25 hyperfine energy levels / 45 radiative transitions / 290 collisional transitions for electron (12 temperatures in the range 10-1000K) / 300 collisional transitions for para-H2 (6 temperatures in the range 5-30K),mds,True,findable,0,0,0,0,0,2021-11-17T14:01:02.000Z,2021-11-17T14:01:03.000Z,inist.osug,jbru,"target HCN,excitationType Hyperfine,collisional excitation,collider.0 electron,collider.1 para-H2,astrophysics,interstellar medium,comets,circumstellar medium,gas,microwave spectroscopy,infrared spectroscopy,rotational excitation,rovibrational excitation,vibrational excitation,electronic excitation,collisional rate coefficients,fine structure,hyperfine structure","[{'subject': 'target HCN', 'subjectScheme': 'main'}, {'subject': 'excitationType Hyperfine', 'subjectScheme': 'main'}, {'subject': 'collisional excitation', 'subjectScheme': 'main'}, {'subject': 'collider.0 electron', 'subjectScheme': 'var'}, {'subject': 'collider.1 para-H2', 'subjectScheme': 'var'}, {'subject': 'astrophysics', 'subjectScheme': 'var'}, {'subject': 'interstellar medium', 'subjectScheme': 'var'}, {'subject': 'comets', 'subjectScheme': 'var'}, {'subject': 'circumstellar medium', 'subjectScheme': 'var'}, {'subject': 'gas', 'subjectScheme': 'var'}, {'subject': 'microwave spectroscopy', 'subjectScheme': 'var'}, {'subject': 'infrared spectroscopy', 'subjectScheme': 'var'}, {'subject': 'rotational excitation', 'subjectScheme': 'var'}, {'subject': 'rovibrational excitation', 'subjectScheme': 'var'}, {'subject': 'vibrational excitation', 'subjectScheme': 'var'}, {'subject': 'electronic excitation', 'subjectScheme': 'var'}, {'subject': 'collisional rate coefficients', 'subjectScheme': 'var'}, {'subject': 'fine structure', 'subjectScheme': 'var'}, {'subject': 'hyperfine structure', 'subjectScheme': 'var'}]",,['Radex']
-10.17178/emaa_ortho-nd3_hyperfine_56cd60b2,Hyperfine excitation of ortho-ND3 by para-H2 collisions,"UGA, CNRS, CNRS-INSU, OSUG",2021,en,Dataset,"Please acknowledge the use of EMAA Database by citing the original articles in which the data were published (BibTeX format available), and adding the following sentence in your publication:
-This research has made use of spectroscopic and collisional data from the EMAA database (https://emaa.osug.fr). EMAA is supported by the Observatoire des Sciences de l'Univers de Grenoble (OSUG),Creative Commons Attribution 4.0 International,Data access and use are ruled by the EMAA data policy.",18 hyperfine energy levels / 32 radiative transitions / 135 collisional transitions for para-H2 (8 temperatures in the range 5-40K),mds,True,findable,0,0,0,0,0,2021-11-17T14:01:36.000Z,2021-11-17T14:01:38.000Z,inist.osug,jbru,"target ortho-ND3,excitationType Hyperfine,collisional excitation,collider.0 para-H2,astrophysics,interstellar medium,comets,circumstellar medium,gas,microwave spectroscopy,infrared spectroscopy,rotational excitation,rovibrational excitation,vibrational excitation,electronic excitation,collisional rate coefficients,fine structure,hyperfine structure","[{'subject': 'target ortho-ND3', 'subjectScheme': 'main'}, {'subject': 'excitationType Hyperfine', 'subjectScheme': 'main'}, {'subject': 'collisional excitation', 'subjectScheme': 'main'}, {'subject': 'collider.0 para-H2', 'subjectScheme': 'var'}, {'subject': 'astrophysics', 'subjectScheme': 'var'}, {'subject': 'interstellar medium', 'subjectScheme': 'var'}, {'subject': 'comets', 'subjectScheme': 'var'}, {'subject': 'circumstellar medium', 'subjectScheme': 'var'}, {'subject': 'gas', 'subjectScheme': 'var'}, {'subject': 'microwave spectroscopy', 'subjectScheme': 'var'}, {'subject': 'infrared spectroscopy', 'subjectScheme': 'var'}, {'subject': 'rotational excitation', 'subjectScheme': 'var'}, {'subject': 'rovibrational excitation', 'subjectScheme': 'var'}, {'subject': 'vibrational excitation', 'subjectScheme': 'var'}, {'subject': 'electronic excitation', 'subjectScheme': 'var'}, {'subject': 'collisional rate coefficients', 'subjectScheme': 'var'}, {'subject': 'fine structure', 'subjectScheme': 'var'}, {'subject': 'hyperfine structure', 'subjectScheme': 'var'}]",,['Radex']
-10.17178/amma-catch.ce.gwat_odc,"Groundwater dataset (water table level), over the Donga watershed (600 km2), Benin","IRD, CNRS-INSU, OSUG, OMP, OREME",2003,en,Dataset,"Creative Commons Attribution 4.0 International,Data access and use are ruled by the AMMA-CATCH data policy.,For any publication using AMMA-CATCH data, authors are asked to:
+Co-authorship: depending on the contribution of the data to the scientific results obtained, the authors should either propose co-authorship to the data providers or at least acknowledge their contribution.","Documentation of rainfall in the Sahelian zone. The aim is to characterize the temporal and spatial variability of rainfall down to the local scale, where process studies are carried on. Data is used in hydrological modelling and process studies.",mds,True,findable,0,0,1,1,0,2018-03-16T15:36:59.000Z,2018-03-16T15:37:00.000Z,inist.osug,jbru,"Rainfall, precipitation, tropical convection,Sahelian climate,Precipitation Amount (previous 5 minutes),Precipitation Amount (previous hour),Precipitation Amount (previous 24 hours)","[{'subject': 'Rainfall, precipitation, tropical convection', 'subjectScheme': 'main'}, {'subject': 'Sahelian climate', 'subjectScheme': 'main'}, {'subject': 'Precipitation Amount (previous 5 minutes)', 'subjectScheme': 'var'}, {'subject': 'Precipitation Amount (previous hour)', 'subjectScheme': 'var'}, {'subject': 'Precipitation Amount (previous 24 hours)', 'subjectScheme': 'var'}]",,"['CSV', 'NETCDF', 'O&M 1.0']"
+10.17178/ohmcv.dsd.mre.12-16.1,"DSD network, Mont-Redon",CNRS - OSUG - OREME,2011,en,Dataset,"Data access and use are ruled by the OHMCV data policy.,The following acknowledging sentence should appear in publications using OHMCV data and products: ""OHMCV is funded by the Institut National des Sciences de l’Univers (INSU/CNRS) and the Observatoire des Sciences de l’Univers de Grenoble (OSUG / Université Grenoble Alpes)â€.",This dataset is part of the Cevennesâ€Vivarais Mediterranean Hydrometeorological Observatory (OHMCV),mds,True,findable,0,0,2,0,0,2017-10-17T13:24:16.000Z,2017-10-17T13:24:16.000Z,inist.osug,jbru,"Atmospheric conditions,Precipitation,Precipitation Rate,Droplet Size,DISDROMETERS,Ground networks,Hydrometeorological sites,Fixed Observation Stations","[{'subject': 'Atmospheric conditions', 'subjectScheme': 'main'}, {'subject': 'Precipitation', 'subjectScheme': 'main'}, {'subject': 'Precipitation Rate', 'subjectScheme': 'main'}, {'subject': 'Droplet Size', 'subjectScheme': 'main'}, {'subject': 'DISDROMETERS', 'subjectScheme': 'main'}, {'subject': 'Ground networks', 'subjectScheme': 'main'}, {'subject': 'Hydrometeorological sites', 'subjectScheme': 'main'}, {'subject': 'Fixed Observation Stations', 'subjectScheme': 'main'}]",,['NETCDF']
+10.48537/hal-03220312,"Heritage / Fiction, For a Retro-Prospective of Dwelling-in-Ambiances",Reseau International Ambiances,2020,en,Text,Creative Commons Attribution Non Commercial No Derivatives 2.0 Generic,"The sense of dwelling in a place is founded on multiple sources. Seeing and recounting the resultant constructions remain one of the major challenges we face in attempting to understand usages and the capacity of a place to renew itself while maintaining what makes it specific and whose ambiance is both a catalyst and a revelatory agent. Based on Etienne Souriau’s works on modes of existence, reviewed by David Lapoujade, we will study the ways in which it is possible to see in a projectual framework a retro-prospective approaches of dwelling-in-ambiances. To illus- trate these propositions, we will rely on an urban project that we developed: “L’Affaire de l’aqueduc de la Reine PeÌdauque†(Toulouse, France).",mds,True,findable,0,0,0,0,0,2021-06-17T20:46:06.000Z,2021-06-17T20:46:07.000Z,jbru.aau,jbru,"Ambiance,Heritage,Fiction,Modes of Existence,the Becomings of a Place","[{'lang': 'eng', 'subject': 'Ambiance'}, {'lang': 'eng', 'subject': 'Heritage'}, {'lang': 'eng', 'subject': 'Fiction'}, {'lang': 'eng', 'subject': 'Modes of Existence'}, {'lang': 'eng', 'subject': 'the Becomings of a Place'}]",['6 pages'],['application/pdf']
+10.34847/nkl.a0db89n9,"Extraits audio Inharmonique (1977, 2019), Les cris sixième cercle (2019), Dans la nef de nos songes (2019), TêTrês (2001)",NAKALA - https://nakala.fr (Huma-Num - CNRS),2023,,Sound,,,api,True,findable,0,0,0,0,0,2023-09-10T16:13:44.000Z,2023-09-10T16:13:44.000Z,inist.humanum,jbru,"Jean-Claude Risset,Composition musicale,analyse musicale","[{'lang': 'fr', 'subject': 'Jean-Claude Risset'}, {'lang': 'fr', 'subject': 'Composition musicale'}, {'lang': 'fr', 'subject': 'analyse musicale'}]","['6014630 Bytes', '2584436 Bytes', '448469 Bytes', '226950 Bytes', '10487966 Bytes', '3745840 Bytes', '8116646 Bytes', '4800736 Bytes', '350248 Bytes', '11090282 Bytes', '6877526 Bytes', '17959616 Bytes', '3605894 Bytes', '2584436 Bytes', '346069 Bytes', '484413 Bytes', '204381 Bytes']","['audio/x-wav', 'audio/x-wav', 'audio/mpeg', 'audio/mpeg', 'audio/x-wav', 'audio/x-wav', 'audio/x-wav', 'audio/x-wav', 'audio/mpeg', 'audio/x-wav', 'audio/x-wav', 'audio/x-wav', 'audio/x-wav', 'audio/x-wav', 'audio/mpeg', 'audio/mpeg', 'audio/mpeg']"
+10.48537/hal-03220283,"From Parlour to Studio, The Sensory Experience in Contemporary Tattooing Spaces",Reseau International Ambiances,2020,en,Text,Creative Commons Attribution Non Commercial No Derivatives 2.0 Generic,"Tattoos have historically been marginalised and associated with deviancy. However, as they become mainstream, the experience of giving and receiving a tattoo changes, and so does the studio environment. This paper analyses design elements that set the contemporary tattoo studio apart from the traditional parlour, and how they shape the sensorial and atmospheric experiences of individuals. I present an ethnographic case study of a contemporary studio in Australia, suggesting that design interventions influence the way practitioners and clients engage with the space, with each other, and with tattoo culture. I use this case to build an argument for the importance of an atmospheric under- standing of this design practice, as it signals an effort to detach itself from a stigmatised subculture.",mds,True,findable,0,0,0,0,0,2021-06-17T09:44:15.000Z,2021-06-17T09:44:15.000Z,jbru.aau,jbru,"Tattoo Culture,Sensory Ethnography,Aesthetic Experience","[{'lang': 'eng', 'subject': 'Tattoo Culture'}, {'lang': 'eng', 'subject': 'Sensory Ethnography'}, {'lang': 'eng', 'subject': 'Aesthetic Experience'}]",['6 pages'],['application/pdf']
+10.17178/emaa_ortho-nd3_hyperfine_56cd60b2,Hyperfine excitation of ortho-ND3 by para-H2 collisions,"UGA, CNRS, CNRS-INSU, OSUG",2021,en,Dataset,"Please acknowledge the use of EMAA Database by citing the original articles in which the data were published (BibTeX format available), and adding the following sentence in your publication:
+This research has made use of spectroscopic and collisional data from the EMAA database (https://emaa.osug.fr). EMAA is supported by the Observatoire des Sciences de l'Univers de Grenoble (OSUG),Creative Commons Attribution 4.0 International,Data access and use are ruled by the EMAA data policy.",18 hyperfine energy levels / 32 radiative transitions / 135 collisional transitions for para-H2 (8 temperatures in the range 5-40K),mds,True,findable,0,0,0,0,0,2021-11-17T14:01:36.000Z,2021-11-17T14:01:38.000Z,inist.osug,jbru,"target ortho-ND3,excitationType Hyperfine,collisional excitation,collider.0 para-H2,astrophysics,interstellar medium,comets,circumstellar medium,gas,microwave spectroscopy,infrared spectroscopy,rotational excitation,rovibrational excitation,vibrational excitation,electronic excitation,collisional rate coefficients,fine structure,hyperfine structure","[{'subject': 'target ortho-ND3', 'subjectScheme': 'main'}, {'subject': 'excitationType Hyperfine', 'subjectScheme': 'main'}, {'subject': 'collisional excitation', 'subjectScheme': 'main'}, {'subject': 'collider.0 para-H2', 'subjectScheme': 'var'}, {'subject': 'astrophysics', 'subjectScheme': 'var'}, {'subject': 'interstellar medium', 'subjectScheme': 'var'}, {'subject': 'comets', 'subjectScheme': 'var'}, {'subject': 'circumstellar medium', 'subjectScheme': 'var'}, {'subject': 'gas', 'subjectScheme': 'var'}, {'subject': 'microwave spectroscopy', 'subjectScheme': 'var'}, {'subject': 'infrared spectroscopy', 'subjectScheme': 'var'}, {'subject': 'rotational excitation', 'subjectScheme': 'var'}, {'subject': 'rovibrational excitation', 'subjectScheme': 'var'}, {'subject': 'vibrational excitation', 'subjectScheme': 'var'}, {'subject': 'electronic excitation', 'subjectScheme': 'var'}, {'subject': 'collisional rate coefficients', 'subjectScheme': 'var'}, {'subject': 'fine structure', 'subjectScheme': 'var'}, {'subject': 'hyperfine structure', 'subjectScheme': 'var'}]",,['Radex']
+10.5281/zenodo.4804635,FIGURES 15–17 in Review and contribution to the stonefly (Insecta: Plecoptera) fauna of Azerbaijan,Zenodo,2021,,Image,Open Access,"FIGURES 15–17. Mermithids from Protonemura sp. (aculeata?) male from the Greater Caucasus—15: mermithids as seen by transparency through the abdominal sterna; 14: four mermithid specimens dissected from the male stonefly, according to mm scale; 17: abdomen of the stonefly opened at segments 2 and 3, with mermithids protruding.",mds,True,findable,0,0,2,0,0,2021-05-26T07:55:06.000Z,2021-05-26T07:55:07.000Z,cern.zenodo,cern,"Biodiversity,Taxonomy,Animalia,Arthropoda,Insecta,Plecoptera,Nemouridae,Protonemura","[{'subject': 'Biodiversity'}, {'subject': 'Taxonomy'}, {'subject': 'Animalia'}, {'subject': 'Arthropoda'}, {'subject': 'Insecta'}, {'subject': 'Plecoptera'}, {'subject': 'Nemouridae'}, {'subject': 'Protonemura'}]",,
+10.5061/dryad.6c886,Data from: Present conditions may mediate the legacy effect of past land-use changes on species richness and composition of above- and below-ground assemblages,Dryad,2018,en,Dataset,Creative Commons Zero v1.0 Universal,"1. In forest ecosystems, the influence of landscape history on contemporary biodiversity patterns has been shown to provide a convenient framework to explain shifts in plant assemblages. However, very few studies have controlled for present human-induced activities when analyzing the effect of forest continuity on community structures. By cutting and removing trees, foresters substantially change stand ecological conditions, with consequences on biodiversity patterns. Disentangling the effect of past and present human activities on biodiversity is thus crucial for ecosystem management and conservation. 2. We explored the response of plant and springtail species richness and composition to forest continuity (ancient vs recent) in montane forests, while controlling for stand maturity (mature vs overmature). We established 70 sites in landscapes dominated by unfragmented ancient forests where we surveyed plants and assessed springtails by analyzing environmental DNA. 3. Neither plant nor springtail species richness was influenced by forest continuity or by stand maturity. Instead, site-specific characteristics, especially soil properties and canopy openness, were of major importance in shaping above- and below-ground richness. 4. For plant and springtail species composition, the effect of forest continuity was mediated by stand maturity. Thus, both plants and springtails showed a convergence in assemblage patterns with the increasing availability of overmature stand attributes. Moreover, soil and stand-scale factors were evidently more important than landscape-scale factors in shaping above- and below-ground species composition. 5. Synthesis. We clearly demonstrated that biodiversity patterns are more strongly influenced by present human-induced activities than by past human-induced activities. In the Northern Alps where our study sites were located, the colonization credit of most species has been paid off and the transient biodiversity deficit usually related to forest continuity has moved toward equilibrium. These findings emphasize the necessity to better control for local-scale factors when analyzing the response of biodiversity to forest continuity; we call for more research into the effects of forest continuity in unfragmented mountain forests.",mds,True,findable,296,29,1,1,0,2017-04-25T13:35:49.000Z,2017-04-25T13:35:51.000Z,dryad.dryad,dryad,"ancient forest,secondary succession,Community dynamics,habitat quality,mountain forest,Plant–soil interactions","[{'subject': 'ancient forest'}, {'subject': 'secondary succession'}, {'subject': 'Community dynamics'}, {'subject': 'habitat quality'}, {'subject': 'mountain forest'}, {'subject': 'Plant–soil interactions'}]",['59412 bytes'],
+10.5061/dryad.j6q573n7x,Continued adaptation of C4 photosynthesis after an initial burst of changes in the Andropogoneae grasses,Dryad,2019,en,Dataset,Creative Commons Zero v1.0 Universal,"C4 photosynthesis is a complex trait that sustains fast growth and high productivity in tropical and subtropical conditions and evolved repeatedly in flowering plants. One of the major C4 lineages is Andropogoneae, a group of ~ 1,200 grass species that includes some of the world's most important crops and species dominating tropical and some temperate grasslands. Previous efforts to understand C4 evolution in the group have compared a few model C4 plants to distantly related C3 species, so that changes directly responsible for the transition to C4 could not be distinguished from those that preceded or followed it. In this study, we analyse the genomes of 66 grass species, capturing the earliest diversification within Andropogoneae as well as their C3 relatives. Phylogenomics combined with molecular dating and analyses of protein evolution show that many changes linked to the evolution of C4 photosynthesis in Andropogoneae happened in the Early Miocene, between 21 and 18 Ma, after the split from its C3 sister lineage, and before the diversification of the group. This initial burst of changes was followed by an extended period of modifications to leaf anatomy and biochemistry during the diversification of Andropogoneae, so that a single C4 origin gave birth to a diversity of C4 phenotypes during 18 million years of speciation events and migration across geographic and ecological spaces. Our comprehensive approach and broad sampling of the diversity in the group reveals that one key transition can lead to a plethora of phenotypes following sustained adaptation of the ancestral state.",mds,True,findable,394,70,0,1,0,2019-10-11T12:58:01.000Z,2019-10-11T12:58:02.000Z,dryad.dryad,dryad,"adaptive evolution,Herbarium Genomics,Jansenelleae,leaf anatomy","[{'subject': 'adaptive evolution'}, {'subject': 'Herbarium Genomics'}, {'subject': 'Jansenelleae'}, {'subject': 'leaf anatomy'}]",['5579649 bytes'],
+10.48537/hal-03220282,"Light Affects, Towards a Body-sensory Approach in Lighting Design",Reseau International Ambiances,2020,en,Text,Creative Commons Attribution Non Commercial No Derivatives 2.0 Generic,"Informing current research on how light effects our performance, hormones and moods, this paper presents a body-sensory approach to study atmospheric affects of light. Presenting ethnographic data from three studies on the bodily feel of colour illuminated spaces, the paper shows how architectural lighting designs go beyond their immediate potential of supporting visual needs and æsthethic delight, by their ability to attune bodily sensations and states of being. Conse- quently, the paper argues for a qualification of current methodologies within lighting research and calls for an atmospheric mindful awareness of the sensory body when designing with chromatic lighting technologies for architectural spaces.",mds,True,findable,0,0,0,0,0,2021-06-17T16:48:06.000Z,2021-06-17T16:48:07.000Z,jbru.aau,jbru,"Light,Colour,Atmosphere,Bodily Sensation,Architecture,FOS: Civil engineering,Design","[{'lang': 'eng', 'subject': 'Light'}, {'lang': 'eng', 'subject': 'Colour'}, {'lang': 'eng', 'subject': 'Atmosphere'}, {'lang': 'eng', 'subject': 'Bodily Sensation'}, {'lang': 'eng', 'subject': 'Architecture'}, {'subject': 'FOS: Civil engineering', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'lang': 'eng', 'subject': 'Design'}]",['6 pages'],['application/pdf']
+10.48537/hal-03220332,"Infinite Atmospheres, Ambiance as a Praxeological Tool for Public Space Design",Reseau International Ambiances,2020,en,Text,Creative Commons Attribution Non Commercial No Derivatives 2.0 Generic,"How does the notion of “infinite places†allow us to question the production of a contemporary architectural space? For creators, what are the new challenges for the design of the atmospheres of these new forms of public space? This article aims to bring together the urban practices identified by the Encore Heureux collective with a praxeological thought of the design of atmospheres. Infinites places trough ambiance are analyzed in their potentials to create infinite conflicts, infinite negotiations and infinite sympathies between the back plan and the emerging events.",mds,True,findable,0,0,0,0,0,2021-06-17T10:17:09.000Z,2021-06-17T10:17:10.000Z,jbru.aau,jbru,"Infinite Places,Infinite Atmosphere,Public Spaces,Architecture,FOS: Civil engineering,Design","[{'lang': 'eng', 'subject': 'Infinite Places'}, {'lang': 'eng', 'subject': 'Infinite Atmosphere'}, {'lang': 'eng', 'subject': 'Public Spaces'}, {'lang': 'eng', 'subject': 'Architecture'}, {'subject': 'FOS: Civil engineering', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'lang': 'eng', 'subject': 'Design'}]",['6 pages'],['application/pdf']
+10.18709/perscido.2020.03.ds294,"F-TRACT, ATLAS October 2019",PerSciDo,2020,en,Dataset,,"Connectivity probability as well as features describing fibers biophysical properties, estimated from CCEP data recorded in 321 patients, in the AAL, AICHA, Brodmann, Freesurfer, Hammers, HCP-MMP1, Lausanne2008 (resolutions 33, 60, 125, 250, 500) and MarsAtlas parcellation schemes. The CCEP features are: peak and onset latency (LatStart), amplitude, duration, integral, velocity estimated from the onset latency and the fibers distance between the parcels and axonal conduction delays. Synaptic excitatory and inhibitory delays are also provided for each parcel. All features have been estimated separately for patients younger than 15 y.o. (group ""0-15"") and patients older than 15 y.o. (group ""15-100"").",fabrica,True,findable,0,0,0,5,0,2020-03-12T12:02:33.000Z,2020-03-12T12:02:33.000Z,inist.persyval,vcob,"Biology, Medicine","[{'lang': 'en', 'subject': 'Biology, Medicine'}]",['500 MB'],['tsv- mat']
+10.5281/zenodo.5108951,"Spatial slip rate distribution along the SE Xianshuihe fault, eastern Tibet, and earthquake hazard assessment",Zenodo,2021,en,Dataset,"Creative Commons Attribution 4.0 International,Open Access",<strong><em>Table 2: </em></strong><em><sup>10</sup></em><em>Be surface-exposure ages of Zheduotang (ZDT) and Moxi (MX) sites of the SE Xianshuihe fault.</em>,mds,True,findable,0,0,0,0,0,2021-07-16T02:27:16.000Z,2021-07-16T02:27:17.000Z,cern.zenodo,cern,"Xianshuihe fault,eastern Tibet,cosmogenic dating,tectonic-geomorphology,late Quaternary slip rates,active pull apart basin,earthquake hazard","[{'subject': 'Xianshuihe fault'}, {'subject': 'eastern Tibet'}, {'subject': 'cosmogenic dating'}, {'subject': 'tectonic-geomorphology'}, {'subject': 'late Quaternary slip rates'}, {'subject': 'active pull apart basin'}, {'subject': 'earthquake hazard'}]",,
+10.18709/perscido.2022.02.ds365,Snow surface temperature in mountainous areas,PerSCiDo,2022,en,Dataset,,"Here we compile all the data needed for the simulations of snow surface temperature in mountainous areas with the RoughSEB model, as well as the simulation results. The weather and radiometric measurements are from the FluxAlp station.",fabrica,True,findable,0,0,0,1,0,2022-02-10T14:39:33.000Z,2022-02-10T14:39:34.000Z,inist.persyval,vcob,"Physics,Glaciology,Environmental science and ecology","[{'lang': 'en', 'subject': 'Physics'}, {'lang': 'en', 'subject': 'Glaciology'}, {'lang': 'en', 'subject': 'Environmental science and ecology'}]",['100Mo'],
+10.5281/zenodo.7537055,"Spectral data associated to the publication: ""Reflectance study of ice and Mars soil simulant associations—II. CO2 and H2O ice"" by Z. Yoldi et al. (Icarus 386, 2022)",Zenodo,2023,,Dataset,"Creative Commons Attribution 4.0 International,Open Access","This is the complete set of experimental VIS-NIR reflectance data collected by Z. Yoldi and co-authors for the article ""Reflectance study of ice and Mars soil simulant associations—II. CO2 and H2O ice"" published in Icarus 386 (2022). doi: https://doi.org/10.1016/j.icarus.2022.115116. A pre-print of the article is also freely available on ArXiv: https://arxiv.org/abs/2207.13905 The article provides the methodology for the spectral aquisitions, discussion of the errors and uncertainties, analysis of the spectra and implications for the composition of Solar System surfaces. The spectral data are organised in folders corresponding to the different types of experiments detailed in the article. In case both hyperspectral and multispectral data were acquired, they are organised in subfolders. The spectral files inside these folders and subfolders have the following naming convention: spectrum_YYYYMMDD_experiment_name_TYPE_XX_YYY.csv Where TYPE is either multi (multispectral) or hyper (hyperspectral), XX indicates different samples within the experiment (see paper, figures and tables) and YYY is a sequential number in case of a temporal evolution (sublimation experiment in ""20180207_ternary_mixture"" with 12 timesteps). The files are in csv format (columns separated by comma) and the content of each column is indicated in the first line (header).",mds,True,findable,0,0,0,0,0,2023-01-14T14:41:33.000Z,2023-01-14T14:41:34.000Z,cern.zenodo,cern,,,,
+10.5281/zenodo.10080490,PxCorpus : A Spoken Drug Prescription Dataset in French for Spoken Language Understanding and Dialogue,Zenodo,2023,fr,Audiovisual,Creative Commons Attribution 4.0 International,"PxCorpus : A Spoken Drug Prescription Dataset in French
+Â
+PxCorpus is to the best of our knowledge, the first spoken medical drug prescriptions corpus to be distributed.
+It contains 4 hours of transcribed and annotated dialogues of drug prescriptions in French acquired through an experiment with 55 participants experts and non-experts  in drug prescriptions.
+Â
+The automatic transcriptions were verified by human effort and aligned with semantic labels to allow training of NLP models. The data acquisition protocol was reviewed by medical experts and permit free distribution without breach of privacy and regulation.
+Â
+Overview of the Corpus
+The experiment has been performed in wild conditions with naive participants and medical experts.
+In total, the dataset includes 2067 recordings of 55 participants (38% non-experts, 25% doctors, 36% medical practitioners), manually transcribed and semantically annotated.
+Â
+| Category       | Sessions | Recordings | Time(m)|
+|-----------------------| ------------- | --------------- | ----------- |
+| Medical experts  |   258    |    434    |   94.83  |
+| Doctors        |   230    |    570    |  105.21  |
+| Non experts     |   415    |    977    |   62.13  |
+| Total          |   903    |    1981    |  262.27  |
+Â
+License
+We hope that that the community will be able to benefit from the dataset which is distributed with an attribution 4.0 International (CC BY 4.0) Creative Commons licence.
+Â
+How to cite this corpus
+Â
+If you use the corpus or need more details please refer to the following paper: A spoken drug prescription datset in French for spoken Language Understanding
+Â
+@InProceedings{Kocabiyikoglu2022,
+ author =  ""Alican Kocabiyikoglu and Fran{\c c}ois Portet and Prudence Gibert and Hervé Blanchon and Jean-Marc Babouchkine and Gaëtan Gavazzi"",
+Â title = Â ""A spoken drug prescription datset in French for spoken Language Understanding"",
+Â booktitle = Â ""13th Language Ressources and Evaluation Conference (LREC 2022)"",
+Â year = Â ""2022"",
+Â location = Â ""Marseille, France""
+}
+a more complete description of the corpus acquisition is available on arxivÂ
+@misc{kocabiyikoglu2023spoken,
+Â Â Â title={Spoken Dialogue System for Medical Prescription Acquisition on Smartphone: Development, Corpus and Evaluation},
+   author={Ali Can Kocabiyikoglu and François Portet and Jean-Marc Babouchkine and Prudence Gibert and Hervé Blanchon and Gaëtan Gavazzi},
+Â Â Â year={2023},
+Â Â Â eprint={2311.03510},
+Â Â Â archivePrefix={arXiv},
+Â Â Â primaryClass={cs.CL}
+}
+Â
+Project Structure
+Â
+The project contains the following elements
+.
+├── LICENSE
+├── PxDialogue/
+├── PxSLU/
+├── readme.md
+Â
+PxSLU : Prescription Corpus for Spoken Language Understanding
+Â
+Directory Structure
+.
+├── LICENSE
+├── metadata.txt
+├── paths.txt
+├── PxSLU_conll.txt
+├── readme.md
+├── recordings
+├── seq.in
+├── seq.label
+├── seq.out
+├── Demo.ipynb
+└── verifications.py
+Â
+Recordings
+Â
+The recordings directory contains the 903 recording sessions. Each session can contain several recordings. For instance,
+the directory
+Â Â recordings/J7aVvWb67L
+contains the records  Â
+  recording_0.wav  recording_2.wav
+which represent two attempts to record a drug prescription
+Â
+All records are stored as mono channel wav files of 16kHz 16bits signed PCM
+Â
+Paths
+Â
+contains the list of all the .wav files in the recordings directory
+00MYcyVK0t/recording_0.wav
+00MYcyVK0t/recording_2.wav
+02Qp6ICj9Q/recording_0.wav
+02Qp6ICj9Q/recording_1.wav
+...
+Â
+All other files (metadata.txt, seq.*) refer to this list to describe the recording.
+Â
+Metadata
+Â
+contains the information about the participants:
+Â
+48,60+,F,non-expert
+48,60+,F,non-expert
+24,18–28,F,doctor
+24,18–28,F,doctor
+...
+Â
+The first column is the participant unique id, the second is the age range, the third is the gender and the final is the category of the participant in {doctor,expert, non-expert}. doctor correspond to a physician, (other)expert to a pharmacist or a biologist specialized in drugs while non-expert are other people not entering in these categories. The lines are synchronised with the paths.txt lines.
+Â
+Labels
+Â
+the three files seq.label, seq.in, seq.out represent respectivly the intent, the transcript and the entities in BIO format.
+Â
+   seq.label        |         seq.in                 |               seq.out
+medical_prescription | flagyl 500 milligrammes euh qu/ en... | B-drug B-d_dos_val B-d_dos_up O O ...
+medical_prescription |  3 comprimés par jour matin midi ...  | B-dos_val B-dos_uf O O B-rhythm_tdte B-rhythm_tdte O B-rhythm_tdte ...
+Â Â Â Â Â Â Â ... Â Â Â Â Â Â Â Â | Â Â Â Â Â Â Â Â Â Â Â Â Â Â ... Â Â Â Â Â Â Â Â Â Â Â Â Â Â | Â Â Â Â Â Â Â Â Â Â Â Â Â Â ...
+Â
+These lines are synchronised with the paths.txt lines.
+Â
+Another file ""PxSLU_conll.txt"" is provided in a format inspired by the conll format (https://universaldependencies.org/format.html). However, this one is *not* aligned with the acoustic records file paths.txt.
+Â
+Scripts
+Â
+verifications.py performs the checking of the alignement of all the seq.* paths.txt and metadata files. A user of the dataset does not need to use this script unless she plan to extend the datasets with her own data.
+Demo.ipynb is a jupyter notebook that a user can run to search through the dataset. It is intended to let the user have a quicker and smoother view on the dataset.
+Â
+Â
+Data splits
+In the data_splits folder, you can find a data split of this dataset organized as following:
+- train.txt: medical experts + non experts (80%) = 1128 samples
+- dev.txt: medical experts + non experts (20%) = 283 samples
+- test.txt: doctors (100%) = 570 samples
+Â
+Each file contains references to line numbers of the corpus. For example, first line of the test.txt is 904, seq.in file contains the utterance ""nicopatch"". Users can access the labels, slots, metadata using the same line number 904 in the parallel files (paths.txt,seq.out,seq.label,...).
+Â
+PxDialogue : Prescription recording corpus for dialogue systems
+Â
+PxDialogue corpus comes as an extension of the PxSLU corpus and provides additional information about the dialogues that was collected through spoken dialogue. This corpus includes two additional files:
+├── events.txt
+├── dialogue_annotations.txt
+Â
+Â
+Events.txt:
+Â
+For each dialogue session, all dialogue events are given in this text file
+which can be used to train/evaluate dialogue systems.
+Â
+Usage example:
+Â
+PxSLU (paths.txt)
+- 00MYcyVK0t/recording_0.wav
+- 00MYcyVK0t/recording_2.wav
+Â
+PxDialogue (events.txt)
+- (-1, 'START', 'APP', None, 0) (1, 'user', 'ASR', 'flagyl 500 mg en cachet pendant 8 jours', 30) (1, 'system', 'TTS', 'Choisissez le médicament correspondant à votre recherche', 34) (2, 'user', 'UI', 'listview_item_clicked', 40) (2, 'system', 'TTS', 'Pourriez vous préciser la posologie pour le patient?', 40) (3, 'user', 'ASR', '3 comprimés par jour matin midi et soir pendant 10 jours', 64) (3, 'system', 'TTS', ""Est-ce que vous confirmez l'ajout de cette prescription sur la liste?"", 66) (4, 'user', 'UI', '/inform{""validate"":""validate""}', 73) (4, 'system', 'TTS', 'Prescription validée avec succès. Traitement ajouté sur le dossier du patient', 73) (-1, 'END', 'APP', '', 73)
+- N/A
+Â
+For example, in this dialogue session (00MYcyVK0t), there are two recordings.
+The events are given in a single row for each dialogue session once in the
+first recording (recording_0). Dialogues are described in form of events
+where each action taken by the user or the system is considered as a dialogue
+turn in a tuple form.
+Â
+(-1, 'START', 'APP', None, 0)
+Â
+- First element of the event is the dialogue turn number. -1 means that the application
+is initialized.
+- Second element describes who initiated the event: user, system, START, END
+- Third element describes the type of the event: APP (start and end events)
+, ASR (automatic speech recognition), TTS (text-to-speech), UI (user interface)
+User clicks on buttons triggers sometimes explicit intent recognition. For
+example (4, 'user', 'UI', '/inform{""validate"":""validate""}') describes the
+explicit intent of validation of the prescription.
+- Fourth element is the timestamp (in seconds)
+Â
+Dialogue annotations
+Â
+We also include a manual annotation for dialogues (dialogue_annotations.txt) which indicates for each recording, if the system gave the correct answer given the utterance.
+Â
+Each line contains a keyword, either [Fail] or [OK]. The following example shows a dialogue sample with annotations:
+Â
+| dialogue_annotations.txt |  paths.txt                 | seq.in                                               |
+|----------------------------------|----------------------------------------|--------------------------------------------------------------------------------------|
+| OK                  | 14yHtAe555/recording_0.wav | oxytetracycline solution euh                              |
+| OK Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â | 14yHtAe555/recording_1.wav | oxytetracycline solution 5 gouttes matin et soir pendant 14 jours |
+| Fail                  | 14yHtAe555/recording_2.wav | oxytetracycline solution 5 gouttes matin et soir pendant 14 jours |
+Â
+For these 3 dialogues, the dialogue annotations are accordingly OK, OK and Fail.
+[Ok] means that the dialogue system reacted correctly to the input.
+[Fail] means that the action of the system after this utterance should not be used
+for evaluation or training. Â
+We can notice that in the first utterance, the information are missing, however
+after the second example the system normally have all of the required slots
+for the prescription validation.
+Â
+It is to note that free comments added using the ASR system were noted as
+Fail as these dialogues did not enter the dialogue state tracking. In this
+example, the last utterance is recorded as a free comment by the prescriber
+and was annotated as Fail.
+Â
+Linking audio records to ASR events
+In order to link audio records to ASR events, the user has to use both paths.txt and events.txt
+Â
+For example for the following dialogue session (lines 1:2 of paths.txt):
+00MYcyVK0t/recording_0.wav
+00MYcyVK0t/recording_2.wav
+Â
+Events.txt include two ASR events:
+(1, 'user', 'ASR', 'flagyl 500 mg en cachet pendant 8 jours', 30)
+(3, 'user', 'ASR', '3 comprimés par jour matin midi et soir pendant 10 jours', 64)
+Â
+These ASR events corresponds to the recording files that can be found in the recordings folder.
+Â
+Available user action annotations
+Â
+Events.txt include annotations such as below with the following explanation:
+Â
+- /inform{""validate"":""validate""} : User clicks on the validate button after seeing the prescription
+- /inform{""validate"":""refuse""} : User clicks on the refuse button after seeing the prescription
+- ASR : User clicks on the push-to-talk button to record an utterance
+- listview_item_clicked : User clicks on the list to choose a drug
+- listview_cancel_clicked : User clicks on the cancel button after seeing a list of drugs
+- FREE_COMMENT_ADDED : User clicks and records a free-form utterance by clicking ""add free comment"" button
+- EMPTY_UTTERANCE: Recording containing an empty utterance
+- APP_CRASH : An application crash that happened in the dialogue turn
+- EVAL_FINISH_APPROVED : User clicks on the final upload button to finish the experiment
+- RESTART_CONVERSATION_SESSION : User clicks on the restart conversation button
+- RESTART_CANCEL_CLICKED : User cancels the restart process by clicking on the cancel button
+- EVAL_FINISH_CANCELED : User cancels the final upload process by clicking on the cancel button
+Â
+** Free Comments: **
+The users had the possibility of recording a speech-to-text message upon viewing a prescription.
+These messages had not beed added to the dialogue state tracking but were visualized on the interface and saved in
+the database. Users can find free comments by searching for FREE_COMMENT_ADDED events in the events.txt to find out
+about these events.",api,True,findable,0,0,0,0,0,2023-11-08T07:53:40.000Z,2023-11-08T07:53:40.000Z,cern.zenodo,cern,"speech corpora,health informatics,biomedical nlp,spoken dialogue systems,natural language understanding","[{'subject': 'speech corpora'}, {'subject': 'health informatics'}, {'subject': 'biomedical nlp'}, {'subject': 'spoken dialogue systems'}, {'subject': 'natural language understanding'}]",,
+10.17178/emaa_para-h2s_rotation_f76b8b70,Rotation excitation of para-H2S by ortho-H2 and para-H2 collisions,"UGA, CNRS, CNRS-INSU, OSUG",2022,en,Dataset,"Please acknowledge the use of EMAA Database by citing the original articles in which the data were published (BibTeX format available), and adding the following sentence in your publication:
+This research has made use of spectroscopic and collisional data from the EMAA database (https://emaa.osug.fr). EMAA is supported by the Observatoire des Sciences de l'Univers de Grenoble (OSUG),Creative Commons Attribution 4.0 International,Data access and use are ruled by the EMAA data policy.",19 rotation energy levels / 45 radiative transitions / 171 collisional transitions for ortho-H2 (10 temperatures in the range 5-500K) / 171 collisional transitions for para-H2 (10 temperatures in the range 5-500K),mds,True,findable,0,0,0,0,0,2023-12-07T15:52:16.000Z,2023-12-07T15:52:17.000Z,inist.osug,jbru,"target para-H2S,excitationType Rotation,collisional excitation,collider.0 ortho-H2,collider.1 para-H2,astrophysics,interstellar medium,comets,circumstellar medium,gas,microwave spectroscopy,infrared spectroscopy,rotational excitation,rovibrational excitation,vibrational excitation,electronic excitation,collisional rate coefficients,fine structure,hyperfine structure","[{'subject': 'target para-H2S', 'subjectScheme': 'main'}, {'subject': 'excitationType Rotation', 'subjectScheme': 'main'}, {'subject': 'collisional excitation', 'subjectScheme': 'main'}, {'subject': 'collider.0 ortho-H2', 'subjectScheme': 'var'}, {'subject': 'collider.1 para-H2', 'subjectScheme': 'var'}, {'subject': 'astrophysics', 'subjectScheme': 'var'}, {'subject': 'interstellar medium', 'subjectScheme': 'var'}, {'subject': 'comets', 'subjectScheme': 'var'}, {'subject': 'circumstellar medium', 'subjectScheme': 'var'}, {'subject': 'gas', 'subjectScheme': 'var'}, {'subject': 'microwave spectroscopy', 'subjectScheme': 'var'}, {'subject': 'infrared spectroscopy', 'subjectScheme': 'var'}, {'subject': 'rotational excitation', 'subjectScheme': 'var'}, {'subject': 'rovibrational excitation', 'subjectScheme': 'var'}, {'subject': 'vibrational excitation', 'subjectScheme': 'var'}, {'subject': 'electronic excitation', 'subjectScheme': 'var'}, {'subject': 'collisional rate coefficients', 'subjectScheme': 'var'}, {'subject': 'fine structure', 'subjectScheme': 'var'}, {'subject': 'hyperfine structure', 'subjectScheme': 'var'}]",,['Radex']
+10.48537/hal-03220375,"Women’s Action of Urban Guerrilla, Methodological Path for an Urban Analysis from a Gender Perspective",Reseau International Ambiances,2020,en,Text,Creative Commons Attribution Non Commercial No Derivatives 2.0 Generic,"The perception of women in the city as a strategy for acknowledging the urban space enabled the development of design practices and experiences such as the Women’s urban Guerrilla in Rio de Janeiro, an ephemeral action to broaden the spectrum of experiences and connect the ambiances felt during a path into physical interventions in the city. In order to develop a methodological path that understands subjectivity as an instrument to bring the collective closer, concepts such as tactical urbanism and its guidelines contributed to the apprehension of space by a body scale and its experiences, as well as to the re-sensitization of design practices and normative urban analysis.",mds,True,findable,0,0,0,0,0,2021-06-17T20:55:08.000Z,2021-06-17T20:55:09.000Z,jbru.aau,jbru,"Ambiances,Gender,Re-Sensitization,Subjectivity,Urban Guerrilla","[{'lang': 'eng', 'subject': 'Ambiances'}, {'lang': 'eng', 'subject': 'Gender'}, {'lang': 'eng', 'subject': 'Re-Sensitization'}, {'lang': 'eng', 'subject': 'Subjectivity'}, {'lang': 'eng', 'subject': 'Urban Guerrilla'}]",['6 pages'],['application/pdf']
+10.17178/emaa_c-plus_fine_0b142c87,Fine excitation of C+ by ortho-H2 and para-H2 collisions,"UGA, CNRS, CNRS-INSU, OSUG",2021,en,Dataset,"Please acknowledge the use of EMAA Database by citing the original articles in which the data were published (BibTeX format available), and adding the following sentence in your publication:
+This research has made use of spectroscopic and collisional data from the EMAA database (https://emaa.osug.fr). EMAA is supported by the Observatoire des Sciences de l'Univers de Grenoble (OSUG),Creative Commons Attribution 4.0 International,Data access and use are ruled by the EMAA data policy.",2 fine energy levels / 1 radiative transitions / 1 collisional transitions for para-H2 (10 temperatures in the range 5-500K) / 1 collisional transitions for ortho-H2 (10 temperatures in the range 5-500K),mds,True,findable,0,0,0,0,0,2021-11-18T13:34:44.000Z,2021-11-18T13:34:45.000Z,inist.osug,jbru,"target C+,excitationType Fine,collisional excitation,collider.0 para-H2,collider.1 ortho-H2,astrophysics,interstellar medium,comets,circumstellar medium,gas,microwave spectroscopy,infrared spectroscopy,rotational excitation,rovibrational excitation,vibrational excitation,electronic excitation,collisional rate coefficients,fine structure,hyperfine structure","[{'subject': 'target C+', 'subjectScheme': 'main'}, {'subject': 'excitationType Fine', 'subjectScheme': 'main'}, {'subject': 'collisional excitation', 'subjectScheme': 'main'}, {'subject': 'collider.0 para-H2', 'subjectScheme': 'var'}, {'subject': 'collider.1 ortho-H2', 'subjectScheme': 'var'}, {'subject': 'astrophysics', 'subjectScheme': 'var'}, {'subject': 'interstellar medium', 'subjectScheme': 'var'}, {'subject': 'comets', 'subjectScheme': 'var'}, {'subject': 'circumstellar medium', 'subjectScheme': 'var'}, {'subject': 'gas', 'subjectScheme': 'var'}, {'subject': 'microwave spectroscopy', 'subjectScheme': 'var'}, {'subject': 'infrared spectroscopy', 'subjectScheme': 'var'}, {'subject': 'rotational excitation', 'subjectScheme': 'var'}, {'subject': 'rovibrational excitation', 'subjectScheme': 'var'}, {'subject': 'vibrational excitation', 'subjectScheme': 'var'}, {'subject': 'electronic excitation', 'subjectScheme': 'var'}, {'subject': 'collisional rate coefficients', 'subjectScheme': 'var'}, {'subject': 'fine structure', 'subjectScheme': 'var'}, {'subject': 'hyperfine structure', 'subjectScheme': 'var'}]",,['Radex']
+10.5281/zenodo.8269409,Data Artifact: Rebasing Microarchitectural Research with Industry Traces,Zenodo,2023,,Dataset,Creative Commons Attribution 4.0 International,"Data Artifact of the paper ""Rebasing Microarchitectural Research with Industry Traces"", published at the 2023 IEEE International Symposium on Workload Characterization. It includes the original CVP-1 traces used in the paper.
+Note: the improved converted traces used in the paper are available at https://doi.org/10.5281/zenodo.10199624.
+Abstract:Â Microarchitecture research relies on performance models with various degrees of accuracy and speed. In the past few years, one such model, ChampSim, has started to gain significant traction by coupling ease of use with a reasonable level of detail and simulation speed. At the same time, datacenter class workloads, which are not trivial to set up and benchmark, have become easier to study via the release of hundreds of industry traces following the first Championship Value Prediction (CVP-1) in 2018. A tool was quickly created to port the CVP-1 traces to the ChampSim format, which, as a result, have been used in many recent works. We revisit this conversion tool and find that several key aspects of the CVP-1 traces are not preserved by the conversion. We therefore propose an improved converter that addresses most conversion issues as well as patches known limitations of the CVP-1 traces themselves. We evaluate the impact of our changes on two commits of ChampSim, with one used for the first Instruction Championship Prefetching (IPC-1) in 2020. We find that the performance variation stemming from higher accuracy conversion is significant.",mds,True,findable,0,0,0,0,0,2023-08-23T07:41:12.000Z,2023-08-23T07:41:12.000Z,cern.zenodo,cern,"ChampSim,CVP-1 traces","[{'subject': 'ChampSim'}, {'subject': 'CVP-1 traces'}]",,
+10.48537/hal-03220353,"Investigating the “Climate Subjectivation†in Urban Furnaces, Sensitive Experiences of Climate Change in French Cities and Reconsidered Ecological Commitment",Reseau International Ambiances,2020,en,Text,Creative Commons Attribution Non Commercial No Derivatives 2.0 Generic,"ince they concentrate a growing majority of the world population, cities largely contribute to climate change... as they suffer from it. The singular experience of living with climate change in cities is barely considered in urban environmental policies. They are usually in favour of expertise solutions. The survey Living in the urban furnaces investigates the sensitive experience of the inhabitants in five cities in the South of France. By using the term “climate subjectivation,†the authors seek to refer to the process describing how climate change, by affecting sensitive, ordinary life may induce reconsidered political and ecological relation to the inhabited milieu of life. Simul- taneously, other ways of being ecologically committed emerge in this process.",mds,True,findable,0,0,0,0,0,2021-06-17T10:17:29.000Z,2021-06-17T10:17:30.000Z,jbru.aau,jbru,"Metropolises,Climate Change,Subjectivation,Ecological Commitment","[{'lang': 'eng', 'subject': 'Metropolises'}, {'lang': 'eng', 'subject': 'Climate Change'}, {'lang': 'eng', 'subject': 'Subjectivation'}, {'lang': 'eng', 'subject': 'Ecological Commitment'}]",['6 pages'],['application/pdf']
+10.48537/hal-03220364,Traces of Invisibility: Readings From Artistic Records,Reseau International Ambiances,2020,en,Text,Creative Commons Attribution Non Commercial No Derivatives 2.0 Generic,"This research presents the concept of ambiance with its roots in user’s or beholder’s point of view. We believe that in this relation with inhabitant perception, ambiance gathers visible space perception together with layers of invisible space interpretation. Therefore, we introduce Maurice Merleau-Ponty’s idea from L’Œil et l’Esprit (1960) that argues the importance of art experimentation as a form to understand the relation between visible and invisible, and we advocate that art production and art interpretation bring up new space read- ings that enrich space comprehension beyond the visible and the Cartesian thinking. This paper presents two examples, through a series of works of art: Cartuxa Monastery, Felipe Terzi and Giovanni Casale (1587-1598) and Miguel Bombarda Panoptic Hospital, JoseÌ Maria Nepomuceno (1892-1896).",mds,True,findable,0,0,0,0,0,2021-06-17T16:47:42.000Z,2021-06-17T16:47:42.000Z,jbru.aau,jbru,"Art and Architecture,Ambiances,nvisible Space,Spatial Records","[{'lang': 'eng', 'subject': 'Art and Architecture'}, {'lang': 'eng', 'subject': 'Ambiances'}, {'lang': 'eng', 'subject': 'nvisible Space'}, {'lang': 'eng', 'subject': 'Spatial Records'}]",['6 pages'],['application/pdf']
+10.18709/perscido.2017.11.ds185,Sparse Integer Matrices Collection,PerSciDo,2019,en,Dataset,Creative Commons Attribution Share Alike 4.0 International,"Collection of matrices used in exact computations. Most of them are sparse with integral or modular coefficients, some have rational or polynomial entries.",fabrica,True,findable,0,0,0,1,0,2019-03-14T16:33:23.000Z,2019-03-14T16:33:23.000Z,inist.persyval,vcob,"Computer Science,Mathematics,FOS: Mathematics,FOS: Mathematics","[{'lang': 'en', 'subject': 'Computer Science'}, {'lang': 'en', 'subject': 'Mathematics'}, {'subject': 'FOS: Mathematics', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'FOS: Mathematics', 'subjectScheme': 'Fields of Science and Technology (FOS)'}]",['5 GB'],['sms']
+10.5281/zenodo.61611,Development of a probabilistic ocean modelling system based on NEMO 3.5: application at eddying resolution,Zenodo,2016,,Software,"GNU General Public License v2.0 only,Open Access","<strong>This sources presents the technical implementation of a new, probabilistic version based on NEMO 3.5 ocean/sea-ice modelling system (Bessières et al., 2017).</strong> Ensemble simulations with N members running simultaneously within a single executable, and interacting mutually if needed, are made possible through an enhanced MPI strategy including a double parallelization in the spatial and ensemble dimensions. An example application is then given to illustrate the implementation, performances and potential use of this novel probabilistic modelling tool. A large ensemble of 50 global ocean/sea-ice hindcasts has been performed over the period 1960-2015 at eddy-permitting resolution (1/4 o ) for the OCCIPUT project. This application is aimed to simultaneously simulate the intrinsic/chaotic and the atmospherically-forced contributions to the ocean variability, from meso-scale turbulence to interannual-to-multidecadal time scales. Such an ensemble indeed provides a unique way to disentangle and study both contributions, as the forced variability may be estimated through the ensemble mean, and the intrinsic chaotic variability may be estimated through the ensemble spread. <strong>Reference</strong>: Bessières, L., Leroux, S., Brankart, J.-M., Molines, J.-M., Moine, M.-P., Bouttier, P.-A., Penduff, T., Terray, L., Barnier, B., and Sérazin, G.: <em>Development of a probabilistic ocean modelling system based on NEMO 3.5: application at eddying resolution</em>, Geosci. Model Dev., 10, 1091-1106, doi:10.5194/gmd-10-1091-2017, 2017.",mds,True,findable,0,0,0,0,0,2016-09-06T09:54:06.000Z,2016-09-06T09:54:07.000Z,cern.zenodo,cern,"NEMO,Ocean Modelling,Eddy-permitting,Probabilist ocean,Intrinsic variability,Ensemble simulation,OCCIPUT project","[{'subject': 'NEMO'}, {'subject': 'Ocean Modelling'}, {'subject': 'Eddy-permitting'}, {'subject': 'Probabilist ocean'}, {'subject': 'Intrinsic variability'}, {'subject': 'Ensemble simulation'}, {'subject': 'OCCIPUT project'}]",,
+10.5281/zenodo.10205606,TEAL WCA: climate data platform for planning solar photovoltaic and wind energy resources in West and Central Africa,Zenodo,2023,,Text,Creative Commons Attribution 4.0 International,"This data platform entitled 'TEAL WCA: climate data platform for planning solar photovoltaic and wind energy resources in West and Central Africa' is a presentation of climate and energy resources data for two Sub-Saharan African regions. Climate change is now a fact and African countries are more vulnerable. To better prepare for mitigation and adaptation, projection information is needed. The challenge of climate model data output is that they are available at the global level and are associated with some biases. This makes studies at the country or sub-county level difficult especially impact study. This study aims to (i) downscale, (ii) bias-adjust, (iii) aggregate at country and sub-country levels, and (iv) estimate the wind power and solar power potential. Moreover, a database platform is built to make the prepared climate data and estimated energy potential dataset freely available for researchers, universities, and decision-makers in West and Central African countries. This manuscript presents the performance of the approach and the distribution of climate and energy variables. ",api,True,findable,0,0,0,0,0,2023-11-25T10:37:08.000Z,2023-11-25T10:37:08.000Z,cern.zenodo,cern,,,,
+10.6084/m9.figshare.c.6604292.v1,Predictors of changing patterns of adherence to containment measures during the early stage of COVID-19 pandemic: an international longitudinal study,figshare,2023,,Collection,Creative Commons Attribution 4.0 International,"Abstract Background Identifying common factors that affect public adherence to COVID-19 containment measures can directly inform the development of official public health communication strategies. The present international longitudinal study aimed to examine whether prosociality, together with other theoretically derived motivating factors (self-efficacy, perceived susceptibility and severity of COVID-19, perceived social support) predict the change in adherence to COVID-19 containment strategies. Method In wave 1 of data collection, adults from eight geographical regions completed online surveys beginning in April 2020, and wave 2 began in June and ended in September 2020. Hypothesized predictors included prosociality, self-efficacy in following COVID-19 containment measures, perceived susceptibility to COVID-19, perceived severity of COVID-19 and perceived social support. Baseline covariates included age, sex, history of COVID-19 infection and geographical regions. Participants who reported adhering to specific containment measures, including physical distancing, avoidance of non-essential travel and hand hygiene, were classified as adherence. The dependent variable was the category of adherence, which was constructed based on changes in adherence across the survey period and included four categories: non-adherence, less adherence, greater adherence and sustained adherence (which was designated as the reference category). Results In total, 2189 adult participants (82% female, 57.2% aged 31–59 years) from East Asia (217 [9.7%]), West Asia (246 [11.2%]), North and South America (131 [6.0%]), Northern Europe (600 [27.4%]), Western Europe (322 [14.7%]), Southern Europe (433 [19.8%]), Eastern Europe (148 [6.8%]) and other regions (96 [4.4%]) were analyzed. Adjusted multinomial logistic regression analyses showed that prosociality, self-efficacy, perceived susceptibility and severity of COVID-19 were significant factors affecting adherence. Participants with greater self-efficacy at wave 1 were less likely to become non-adherence at wave 2 by 26% (adjusted odds ratio [aOR], 0.74; 95% CI, 0.71 to 0.77; P < .001), while those with greater prosociality at wave 1 were less likely to become less adherence at wave 2 by 23% (aOR, 0.77; 95% CI, 0.75 to 0.79; P = .04). Conclusions This study provides evidence that in addition to emphasizing the potential severity of COVID-19 and the potential susceptibility to contact with the virus, fostering self-efficacy in following containment strategies and prosociality appears to be a viable public health education or communication strategy to combat COVID-19.",mds,True,findable,0,0,0,0,0,2023-04-18T04:38:34.000Z,2023-04-18T04:38:34.000Z,figshare.ars,otjm,"Medicine,Biotechnology,Sociology,FOS: Sociology,69999 Biological Sciences not elsewhere classified,FOS: Biological sciences,Science Policy,110309 Infectious Diseases,FOS: Health sciences","[{'subject': 'Medicine'}, {'subject': 'Biotechnology'}, {'subject': 'Sociology'}, {'subject': 'FOS: Sociology', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': '69999 Biological Sciences not elsewhere classified', 'schemeUri': 'http://www.abs.gov.au/ausstats/abs@.nsf/0/6BB427AB9696C225CA2574180004463E', 'subjectScheme': 'FOR'}, {'subject': 'FOS: Biological sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Science Policy'}, {'subject': '110309 Infectious Diseases', 'schemeUri': 'http://www.abs.gov.au/ausstats/abs@.nsf/0/6BB427AB9696C225CA2574180004463E', 'subjectScheme': 'FOR'}, {'subject': 'FOS: Health sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}]",,
+10.18709/perscido.2023.08.ds398,BuildPred: A Smart Tertiary Building Dataset,PerSCiDO,2023,,Dataset,,"This dataset gathers indoor environmental data and HVAC power consumption collected on a monitored tertirary building over 232 days. The building located into the eastern suburbs of Grenoble (France). Sensors across the building send a measure every 10 minutes, leading to the creation this dataset, after preprocessing.",api,True,findable,0,0,0,0,0,2023-08-31T16:32:12.000Z,2023-08-31T16:32:12.000Z,inist.persyval,vcob,Information Technology,"[{'subject': 'Information Technology', 'subjectScheme': 'http://www.radar-projekt.org/display/Information_Technology'}]",['10 Mo'],['CSV']
+10.5281/zenodo.8223563,InGaN/GaN QWs on Si,Zenodo,2023,,Dataset,Creative Commons Attribution 4.0 International,"Dataset for the project of high TD density QWs grown on Si, published here.
+The different sub-datasets are named after:
+
+the measurement technique, from [ Atomic Force Microscopy (AFM) ; Cathodoluminescence (CL) mapping ; Power-dependent photoluminescence (PL) series (P-series) ; Scanning Electron Micrographs (SEM) ; Temperature-dependent P-series (T-P-series) ; Transmission Electron Microscopy (TEM) ; Time-resolved PL (TRPL) ];
+the sample name, from [ R = A4286 ; U = A4287 ; V = A4289 ].
+Further relevant information can be found in the .zip folders, in README files.",mds,True,findable,0,0,0,0,0,2023-09-18T19:41:32.000Z,2023-09-18T19:41:33.000Z,cern.zenodo,cern,,,,
+10.5281/zenodo.10276252,3D roughness computation from XCT data - Data and Python & ImageJ implementations,Zenodo,2023,en,ComputationalNotebook,CeCILL Free Software License Agreement v2.1,"Data provided in supplement of the research article ""A methodology for the 3D characterization of surfaces using X-ray computed tomography: application to additively manufactured parts"", F.Steinhilber, J.Lachambre, D.Cœurjolly, J.Y.Buffière, G.Martin, R.Dendievel.
+Â
+It contains 3 folders:
+- ""data"": a dataset used to present the roughness computation methodology in the article (= the XCT scan of a 2 mm cylinder fabricated by Electron Powder Bed Fusion, with a voxel size of 5 µm). The results of the roughness computation are also provided in this folder.
+- ""Python"": the Python implementation of the roughness computation methodology presented in the article, as well as some other calculations, such as the computation of the triangle threshold for bimodal histograms introduced in the article.
+- ""ImageJ"": the ImageJ implementation (simple macro) of the roughness computation methodology presented in the article, as well as some other calculations, such as the computation of the triangle threshold for bimodal histograms introduced in the article.
+Â
+Each folder contains a README file that further details the different files provided.",api,True,findable,0,0,0,0,0,2023-12-06T09:53:00.000Z,2023-12-06T09:53:00.000Z,cern.zenodo,cern,"Surface roughness,X-ray Computed Tomography,Python,ImageJ,3D","[{'subject': 'Surface roughness'}, {'subject': 'X-ray Computed Tomography'}, {'subject': 'Python'}, {'subject': 'ImageJ'}, {'subject': '3D'}]",,
+10.17178/amma-catch.niger,"AMMA-CATCH observatory: Niamey square degree mesoscale site (16 000 km2) in the cultivated Sahelian zone, Niger","IRD, CNRS-INSU, OSUG, OMP, OREME",1990,en,Dataset,"Creative Commons Attribution 4.0 International,Data access and use are ruled by the AMMA-CATCH data policy.,For any publication using AMMA-CATCH data, authors are asked to:
Mandatory: cite the reference article and the DOI of the observatory
@@ -3660,49 +3489,71 @@ Mandatory: cite the reference article and the DOI of the observatory
Optional: cite the DOI of each dataset used.
-Co-authorship: depending on the contribution of the data to the scientific results obtained, the authors should either propose co-authorship to the data providers or at least acknowledge their contribution.","Documentation of the processes of groundwater recharge-discharge. Documentation of the groundwater-river connections. Contribution to the water budget at the hillslope scale in relation with soil water, runoff measurements. The identified processes will be used to improve hydrological modelling at the super-site scale (Donga).",mds,True,findable,0,0,1,0,0,2018-03-16T15:36:57.000Z,2018-03-16T15:36:57.000Z,inist.osug,jbru,"Aquifer, recharge, groundwater,Sudanian climate,Water Table","[{'subject': 'Aquifer, recharge, groundwater', 'subjectScheme': 'main'}, {'subject': 'Sudanian climate', 'subjectScheme': 'main'}, {'subject': 'Water Table', 'subjectScheme': 'var'}]",,"['CSV', 'NETCDF', 'O&M 1.0']"
-10.17178/emaa_c2h_hyperfine_e0d01d58,Hyperfine excitation of C2H by ortho-H2 and para-H2 collisions,"UGA, CNRS, CNRS-INSU, OSUG",2023,en,Dataset,"Please acknowledge the use of EMAA Database by citing the original articles in which the data were published (BibTeX format available), and adding the following sentence in your publication:
-This research has made use of spectroscopic and collisional data from the EMAA database (https://emaa.osug.fr). EMAA is supported by the Observatoire des Sciences de l'Univers de Grenoble (OSUG),Creative Commons Attribution 4.0 International,Data access and use are ruled by the EMAA data policy.",38 hyperfine energy levels / 94 radiative transitions / 702 collisional transitions for para-H2 (30 temperatures in the range 10-300K) / 703 collisional transitions for ortho-H2 (30 temperatures in the range 10-300K),mds,True,findable,0,0,0,0,0,2023-12-07T15:50:40.000Z,2023-12-07T15:50:41.000Z,inist.osug,jbru,"target C2H,excitationType Hyperfine,collisional excitation,collider.0 para-H2,collider.1 ortho-H2,astrophysics,interstellar medium,comets,circumstellar medium,gas,microwave spectroscopy,infrared spectroscopy,rotational excitation,rovibrational excitation,vibrational excitation,electronic excitation,collisional rate coefficients,fine structure,hyperfine structure","[{'subject': 'target C2H', 'subjectScheme': 'main'}, {'subject': 'excitationType Hyperfine', 'subjectScheme': 'main'}, {'subject': 'collisional excitation', 'subjectScheme': 'main'}, {'subject': 'collider.0 para-H2', 'subjectScheme': 'var'}, {'subject': 'collider.1 ortho-H2', 'subjectScheme': 'var'}, {'subject': 'astrophysics', 'subjectScheme': 'var'}, {'subject': 'interstellar medium', 'subjectScheme': 'var'}, {'subject': 'comets', 'subjectScheme': 'var'}, {'subject': 'circumstellar medium', 'subjectScheme': 'var'}, {'subject': 'gas', 'subjectScheme': 'var'}, {'subject': 'microwave spectroscopy', 'subjectScheme': 'var'}, {'subject': 'infrared spectroscopy', 'subjectScheme': 'var'}, {'subject': 'rotational excitation', 'subjectScheme': 'var'}, {'subject': 'rovibrational excitation', 'subjectScheme': 'var'}, {'subject': 'vibrational excitation', 'subjectScheme': 'var'}, {'subject': 'electronic excitation', 'subjectScheme': 'var'}, {'subject': 'collisional rate coefficients', 'subjectScheme': 'var'}, {'subject': 'fine structure', 'subjectScheme': 'var'}, {'subject': 'hyperfine structure', 'subjectScheme': 'var'}]",,['Radex']
-10.17178/snouf.2022,"SNOUF: Snow Under Forest. Snow, forest and meteorological measurements at Col de Porte","OSUG, Meteo France, CNRS, IRD, INRAE",2022,en,Dataset,"Creative Commons Attribution 4.0 International,The following sentence should appear in the acknowledgments of the publication:
-""This project has been conducted within the grant Labex OSUG@2020 ANR10 LABX56 UGA and with financial supports from the IGE and the CEN""","Forests strongly modify the accumulation, metamorphism and melting of snow in mid and high-latitude regions. Recently, snow routines in hydrological and land surface models have been improved to incorporate more accurate representations of forest snow processes but model inter-comparison projects have pointed deficiencies, partly due incomplete knowledge of the processes controlling snow cover in forests. The Snow Under Forest project was initiated to enhance knowledge of the complex interactions between snow and vegetation. Two field campaigns, during the winters 2016-17 and 2017-18, have been conducted in a conifer forest bordering the site study of Col de Porte (1325 m asl, French Alps) in order to document the snow accumulation and ablation processes. This paper presents the field site, instrumentation, and collection methods. The observations include: forest characteristics (tree inventory, LIDAR measurements of forest structure, sub-canopy hemispherical photographs…), meteorology (automatic weather station and radiometers array), snow cover and depth (snow poles transect and laser scan), and snow interception by the canopy during precipitation events. The weather station installed under dense canopy during the first campaign has been maintained since then and provides continuous measurements throughout the year since 2018.",mds,True,findable,0,0,2,0,0,2022-09-26T08:23:50.000Z,2022-09-26T08:23:51.000Z,inist.osug,jbru,"forest measurements,snow measurements,meteorological measurements","[{'subject': 'forest measurements', 'subjectScheme': 'main'}, {'subject': 'snow measurements', 'subjectScheme': 'main'}, {'subject': 'meteorological measurements', 'subjectScheme': 'main'}]",['285 Mb'],"['CSV', 'NetCDF', 'XLS']"
-10.17178/emaa_ortho-d2s_rotation_a6fd14e0,Rotation excitation of ortho-D2S by ortho-H2 and para-H2 collisions,"UGA, CNRS, CNRS-INSU, OSUG",2022,en,Dataset,"Please acknowledge the use of EMAA Database by citing the original articles in which the data were published (BibTeX format available), and adding the following sentence in your publication:
-This research has made use of spectroscopic and collisional data from the EMAA database (https://emaa.osug.fr). EMAA is supported by the Observatoire des Sciences de l'Univers de Grenoble (OSUG),Creative Commons Attribution 4.0 International,Data access and use are ruled by the EMAA data policy.",26 rotation energy levels / 58 radiative transitions / 325 collisional transitions for ortho-H2 (11 temperatures in the range 5-400K) / 325 collisional transitions for para-H2 (11 temperatures in the range 5-400K),mds,True,findable,0,0,0,0,0,2023-12-07T15:51:38.000Z,2023-12-07T15:51:39.000Z,inist.osug,jbru,"target ortho-D2S,excitationType Rotation,collisional excitation,collider.0 ortho-H2,collider.1 para-H2,astrophysics,interstellar medium,comets,circumstellar medium,gas,microwave spectroscopy,infrared spectroscopy,rotational excitation,rovibrational excitation,vibrational excitation,electronic excitation,collisional rate coefficients,fine structure,hyperfine structure","[{'subject': 'target ortho-D2S', 'subjectScheme': 'main'}, {'subject': 'excitationType Rotation', 'subjectScheme': 'main'}, {'subject': 'collisional excitation', 'subjectScheme': 'main'}, {'subject': 'collider.0 ortho-H2', 'subjectScheme': 'var'}, {'subject': 'collider.1 para-H2', 'subjectScheme': 'var'}, {'subject': 'astrophysics', 'subjectScheme': 'var'}, {'subject': 'interstellar medium', 'subjectScheme': 'var'}, {'subject': 'comets', 'subjectScheme': 'var'}, {'subject': 'circumstellar medium', 'subjectScheme': 'var'}, {'subject': 'gas', 'subjectScheme': 'var'}, {'subject': 'microwave spectroscopy', 'subjectScheme': 'var'}, {'subject': 'infrared spectroscopy', 'subjectScheme': 'var'}, {'subject': 'rotational excitation', 'subjectScheme': 'var'}, {'subject': 'rovibrational excitation', 'subjectScheme': 'var'}, {'subject': 'vibrational excitation', 'subjectScheme': 'var'}, {'subject': 'electronic excitation', 'subjectScheme': 'var'}, {'subject': 'collisional rate coefficients', 'subjectScheme': 'var'}, {'subject': 'fine structure', 'subjectScheme': 'var'}, {'subject': 'hyperfine structure', 'subjectScheme': 'var'}]",,['Radex']
-10.17178/emaa_n2h-plus_rotation_5874615e,Rotation excitation of N2H+ by para-H2 collisions,"UGA, CNRS, CNRS-INSU, OSUG",2021,en,Dataset,"Please acknowledge the use of EMAA Database by citing the original articles in which the data were published (BibTeX format available), and adding the following sentence in your publication:
-This research has made use of spectroscopic and collisional data from the EMAA database (https://emaa.osug.fr). EMAA is supported by the Observatoire des Sciences de l'Univers de Grenoble (OSUG),Creative Commons Attribution 4.0 International,Data access and use are ruled by the EMAA data policy.",21 rotation energy levels / 20 radiative transitions / 210 collisional transitions for para-H2 (26 temperatures in the range 5-500K),mds,True,findable,0,0,0,0,0,2021-11-18T13:35:25.000Z,2021-11-18T13:35:26.000Z,inist.osug,jbru,"target N2H+,excitationType Rotation,collisional excitation,collider.0 para-H2,astrophysics,interstellar medium,comets,circumstellar medium,gas,microwave spectroscopy,infrared spectroscopy,rotational excitation,rovibrational excitation,vibrational excitation,electronic excitation,collisional rate coefficients,fine structure,hyperfine structure","[{'subject': 'target N2H+', 'subjectScheme': 'main'}, {'subject': 'excitationType Rotation', 'subjectScheme': 'main'}, {'subject': 'collisional excitation', 'subjectScheme': 'main'}, {'subject': 'collider.0 para-H2', 'subjectScheme': 'var'}, {'subject': 'astrophysics', 'subjectScheme': 'var'}, {'subject': 'interstellar medium', 'subjectScheme': 'var'}, {'subject': 'comets', 'subjectScheme': 'var'}, {'subject': 'circumstellar medium', 'subjectScheme': 'var'}, {'subject': 'gas', 'subjectScheme': 'var'}, {'subject': 'microwave spectroscopy', 'subjectScheme': 'var'}, {'subject': 'infrared spectroscopy', 'subjectScheme': 'var'}, {'subject': 'rotational excitation', 'subjectScheme': 'var'}, {'subject': 'rovibrational excitation', 'subjectScheme': 'var'}, {'subject': 'vibrational excitation', 'subjectScheme': 'var'}, {'subject': 'electronic excitation', 'subjectScheme': 'var'}, {'subject': 'collisional rate coefficients', 'subjectScheme': 'var'}, {'subject': 'fine structure', 'subjectScheme': 'var'}, {'subject': 'hyperfine structure', 'subjectScheme': 'var'}]",,['Radex']
-10.17178/zaa_soil_temp.floresentinelle,Long term monitoring of near surface soil temperature on sereval species and habitats in the French Alps,UGA – OSUG – Flore Sentinnel network,2021,en,Dataset,"Creative Commons Attribution 4.0 International,For any publication using ZAA data, depending on the contribution of the data to the scientific results obtained, data users should either propose co-authorship to the data providers (doi Project leaders) or at least acknowledge their contribution.
-The acknowledging sentence which should appear in publications using ZAA temp-soil data and products is in the readme file joint with the dataset",Monitoring of near-surface soil temperature in mountain ecosystems located in the French Alps. Data are part of several projects and monitoring programs examining the impact of climate and climate change on snow beds vegetation and Trifolium saxatile,mds,True,findable,0,0,0,0,0,2021-07-13T13:43:35.000Z,2021-07-13T13:43:36.000Z,inist.osug,jbru,"microclimate,mountain climate,long-term monitoring,soil,root zone,cold zone ecosystem,soil temperature","[{'subject': 'microclimate', 'subjectScheme': 'main'}, {'subject': 'mountain climate', 'subjectScheme': 'main'}, {'subject': 'long-term monitoring', 'subjectScheme': 'main'}, {'subject': 'soil', 'subjectScheme': 'main'}, {'subject': 'root zone', 'subjectScheme': 'main'}, {'subject': 'cold zone ecosystem', 'subjectScheme': 'main'}, {'subject': 'soil temperature', 'subjectScheme': 'var'}]",,['CSV']
-10.17178/amma-catch.ce.sw_gha,"Soil dataset (soil moisture profiles), within the Agoufou watershed (250 km2), Mali","IRD, CNRS-INSU, OSUG, OMP, OREME",2007,en,Dataset,"Creative Commons Attribution 4.0 International,Data access and use are ruled by the AMMA-CATCH data policy.,For any publication using AMMA-CATCH data, authors are asked to:
+Co-authorship: depending on the contribution of the data to the scientific results obtained, the authors should either propose co-authorship to the data providers or at least acknowledge their contribution.","The Niger mesoscale observation site is geographically central among the three such sites of the AMMA-CATCH regional observatory. Located 13-14°N and 2-3°E in SW Niger, it samples the cultivated Sahelian environment, on both sides of the Niger River albeit predominantly to its north-east, and includes the city of Niamey. The climate is semiarid, with ~300-700 mm/year of rainfall concentrated in a short monsoon season (July-September essentially). Landuse is a patchwork of millet fields, fallow bush plots, tiger bush, and bare land. Meteorological, hydrological, and ecological observations have been carried out for several decades at this site, starting with the EPSAT-Niger, HAPEX-Sahel, SEBEX programs in the 80-90's. Most instruments were made perennial since the launch of the AMMA international experiment in 2005.",mds,True,findable,0,0,1,0,0,2018-03-16T15:37:19.000Z,2018-03-16T15:37:20.000Z,inist.osug,jbru,"Sahelian climate,Precipitation,Surface water,Meteo,Flux,Radiation,Vegetation,Ground water,Soils,Water quality / Water chemistry","[{'subject': 'Sahelian climate', 'subjectScheme': 'main'}, {'subject': 'Precipitation', 'subjectScheme': 'var'}, {'subject': 'Surface water', 'subjectScheme': 'var'}, {'subject': 'Meteo', 'subjectScheme': 'var'}, {'subject': 'Flux', 'subjectScheme': 'var'}, {'subject': 'Radiation', 'subjectScheme': 'var'}, {'subject': 'Vegetation', 'subjectScheme': 'var'}, {'subject': 'Ground water', 'subjectScheme': 'var'}, {'subject': 'Soils', 'subjectScheme': 'var'}, {'subject': 'Water quality / Water chemistry', 'subjectScheme': 'var'}]",,"['CSV', 'NETCDF', 'O&M 1.0']"
+10.17178/emaa_e-ch3(18o)h_rotation_da227d5c,Rotation excitation of E-CH3[18O]H by ortho-H2 and para-H2 collisions,"UGA, CNRS, CNRS-INSU, OSUG",2023,en,Dataset,"Please acknowledge the use of EMAA Database by citing the original articles in which the data were published (BibTeX format available), and adding the following sentence in your publication:
+This research has made use of spectroscopic and collisional data from the EMAA database (https://emaa.osug.fr). EMAA is supported by the Observatoire des Sciences de l'Univers de Grenoble (OSUG),Creative Commons Attribution 4.0 International,Data access and use are ruled by the EMAA data policy.",13 rotation energy levels / 52 radiative transitions / 71 collisional transitions for para-H2 (20 temperatures in the range 10-200K) / 78 collisional transitions for ortho-H2 (20 temperatures in the range 10-200K),mds,True,findable,0,0,0,0,0,2023-12-07T15:50:56.000Z,2023-12-07T15:50:56.000Z,inist.osug,jbru,"target E-CH3[18O]H,excitationType Rotation,collisional excitation,collider.0 para-H2,collider.1 ortho-H2,astrophysics,interstellar medium,comets,circumstellar medium,gas,microwave spectroscopy,infrared spectroscopy,rotational excitation,rovibrational excitation,vibrational excitation,electronic excitation,collisional rate coefficients,fine structure,hyperfine structure","[{'subject': 'target E-CH3[18O]H', 'subjectScheme': 'main'}, {'subject': 'excitationType Rotation', 'subjectScheme': 'main'}, {'subject': 'collisional excitation', 'subjectScheme': 'main'}, {'subject': 'collider.0 para-H2', 'subjectScheme': 'var'}, {'subject': 'collider.1 ortho-H2', 'subjectScheme': 'var'}, {'subject': 'astrophysics', 'subjectScheme': 'var'}, {'subject': 'interstellar medium', 'subjectScheme': 'var'}, {'subject': 'comets', 'subjectScheme': 'var'}, {'subject': 'circumstellar medium', 'subjectScheme': 'var'}, {'subject': 'gas', 'subjectScheme': 'var'}, {'subject': 'microwave spectroscopy', 'subjectScheme': 'var'}, {'subject': 'infrared spectroscopy', 'subjectScheme': 'var'}, {'subject': 'rotational excitation', 'subjectScheme': 'var'}, {'subject': 'rovibrational excitation', 'subjectScheme': 'var'}, {'subject': 'vibrational excitation', 'subjectScheme': 'var'}, {'subject': 'electronic excitation', 'subjectScheme': 'var'}, {'subject': 'collisional rate coefficients', 'subjectScheme': 'var'}, {'subject': 'fine structure', 'subjectScheme': 'var'}, {'subject': 'hyperfine structure', 'subjectScheme': 'var'}]",,['Radex']
+10.5281/zenodo.7937759,Quantum mechanical modeling of the on-grain formation of acetaldehyde on H2O:CO dirty ice surfaces,Zenodo,2023,,Dataset,"Creative Commons Attribution 4.0 International,Open Access","This Supporting Material contains: Cartesian coordinates of HF-3c optimized minima and transition state for the reaction in gas phase, in .xyz format, computed using Gaussian16 code; Fractional coordinates of HF-3c optimized minima and trasition state structures for crystalline periodic models in .mol format, editable with MOLDRAW, computed using CRYSTAL17 computer code.",mds,True,findable,0,0,0,0,0,2023-08-12T07:23:25.000Z,2023-08-12T07:23:26.000Z,cern.zenodo,cern,,,,
+10.5281/zenodo.3696502,Pretrained parsing model for french with FlauBERT,Zenodo,2020,,Other,"Creative Commons Attribution 4.0 International,Open Access",Pretrained parsing models for French to use with https://github.com/mcoavoux/self-attentive-parser fork of https://github.com/nikitakit/self-attentive-parser parser. These are retrained models (results are slightly different from those reported in Flaubert paper https://arxiv.org/abs/1912.05372).,mds,True,findable,0,0,0,0,0,2020-03-04T09:38:15.000Z,2020-03-04T09:38:15.000Z,cern.zenodo,cern,,,,
+10.17178/ohmcv.dsd.val.12-16.1,"DSD network, Valescure",CNRS - OSUG - OREME,2012,en,Dataset,"Data access and use are ruled by the OHMCV data policy.,The following acknowledging sentence should appear in publications using OHMCV data and products: ""OHMCV is funded by the Institut National des Sciences de l’Univers (INSU/CNRS) and the Observatoire des Sciences de l’Univers de Grenoble (OSUG / Université Grenoble Alpes)â€.",This dataset is part of the Cevennesâ€Vivarais Mediterranean Hydrometeorological Observatory (OHMCV),mds,True,findable,0,0,1,0,0,2017-10-17T13:24:22.000Z,2017-10-17T13:24:22.000Z,inist.osug,jbru,"Atmospheric conditions,Precipitation Rate,Droplet Size,DISDROMETERS,Ground networks,Hydrometeorological sites,Fixed Observation Stations","[{'subject': 'Atmospheric conditions', 'subjectScheme': 'main'}, {'subject': 'Precipitation Rate', 'subjectScheme': 'main'}, {'subject': 'Droplet Size', 'subjectScheme': 'main'}, {'subject': 'DISDROMETERS', 'subjectScheme': 'main'}, {'subject': 'Ground networks', 'subjectScheme': 'main'}, {'subject': 'Hydrometeorological sites', 'subjectScheme': 'main'}, {'subject': 'Fixed Observation Stations', 'subjectScheme': 'main'}]",,['NETCDF']
+10.48649/asdc.1201,Caen vu par les médias. L'exemple de Ouest-France.,Atlas Social de Caen - e-ISSN : 2779-654X,2023,fr,JournalArticle,Creative Commons Attribution Non Commercial Share Alike 4.0 International,"Comment l'agglomération de Caen est-elle représentée dans les médias ? Pourquoi certains lieux font-ils l'actualité et pas d'autres ? Quels sont les lieux qui ne sont jamais évoqués ? Quelle géographie des sujets médiatiques se dessine et quel en est le sens ? Pour répondre à ces questions, nous avons dépouillé tous les numéros du journal quotidien Ouest-France pour l'année 2019 puis réalisé une cartographie thématique ?",fabrica,True,findable,0,0,0,0,0,2023-06-23T12:32:59.000Z,2023-06-23T12:32:59.000Z,jbru.eso,jbru,"médias,conflit,aménagement,actualité","[{'subject': 'médias'}, {'subject': 'conflit'}, {'subject': 'aménagement'}, {'subject': 'actualité'}]",,
+10.17178/emaa_c(17o)_hyperfine_0ecc62b5,Hyperfine excitation of C[17O] by ortho-H2 and para-H2 collisions,"UGA, CNRS, CNRS-INSU, OSUG",2023,en,Dataset,"Please acknowledge the use of EMAA Database by citing the original articles in which the data were published (BibTeX format available), and adding the following sentence in your publication:
+This research has made use of spectroscopic and collisional data from the EMAA database (https://emaa.osug.fr). EMAA is supported by the Observatoire des Sciences de l'Univers de Grenoble (OSUG),Creative Commons Attribution 4.0 International,Data access and use are ruled by the EMAA data policy.",75 hyperfine energy levels / 176 radiative transitions / 2775 collisional transitions for para-H2 (11 temperatures in the range 5-400K) / 2775 collisional transitions for ortho-H2 (11 temperatures in the range 5-400K),mds,True,findable,0,0,0,0,0,2023-12-07T15:50:37.000Z,2023-12-07T15:50:37.000Z,inist.osug,jbru,"target C[17O],excitationType Hyperfine,collisional excitation,collider.0 para-H2,collider.1 ortho-H2,astrophysics,interstellar medium,comets,circumstellar medium,gas,microwave spectroscopy,infrared spectroscopy,rotational excitation,rovibrational excitation,vibrational excitation,electronic excitation,collisional rate coefficients,fine structure,hyperfine structure","[{'subject': 'target C[17O]', 'subjectScheme': 'main'}, {'subject': 'excitationType Hyperfine', 'subjectScheme': 'main'}, {'subject': 'collisional excitation', 'subjectScheme': 'main'}, {'subject': 'collider.0 para-H2', 'subjectScheme': 'var'}, {'subject': 'collider.1 ortho-H2', 'subjectScheme': 'var'}, {'subject': 'astrophysics', 'subjectScheme': 'var'}, {'subject': 'interstellar medium', 'subjectScheme': 'var'}, {'subject': 'comets', 'subjectScheme': 'var'}, {'subject': 'circumstellar medium', 'subjectScheme': 'var'}, {'subject': 'gas', 'subjectScheme': 'var'}, {'subject': 'microwave spectroscopy', 'subjectScheme': 'var'}, {'subject': 'infrared spectroscopy', 'subjectScheme': 'var'}, {'subject': 'rotational excitation', 'subjectScheme': 'var'}, {'subject': 'rovibrational excitation', 'subjectScheme': 'var'}, {'subject': 'vibrational excitation', 'subjectScheme': 'var'}, {'subject': 'electronic excitation', 'subjectScheme': 'var'}, {'subject': 'collisional rate coefficients', 'subjectScheme': 'var'}, {'subject': 'fine structure', 'subjectScheme': 'var'}, {'subject': 'hyperfine structure', 'subjectScheme': 'var'}]",,['Radex']
+10.17178/ohmcv.dsd.sou.12-16.1,"DSD network, La Souche",CNRS - OSUG - OREME,2012,en,Dataset,"Data access and use are ruled by the OHMCV data policy.,The following acknowledging sentence should appear in publications using OHMCV data and products: ""OHMCV is funded by the Institut National des Sciences de l’Univers (INSU/CNRS) and the Observatoire des Sciences de l’Univers de Grenoble (OSUG / Université Grenoble Alpes)â€.",This dataset is part of the Cevennesâ€Vivarais Mediterranean Hydrometeorological Observatory (OHMCV),mds,True,findable,0,0,1,0,0,2017-10-17T13:24:20.000Z,2017-10-17T13:24:20.000Z,inist.osug,jbru,"Atmospheric conditions,Precipitation,Precipitation Rate,Droplet Size,DISDROMETERS,Ground networks,Hydrometeorological sites,Fixed Observation Stations","[{'subject': 'Atmospheric conditions', 'subjectScheme': 'main'}, {'subject': 'Precipitation', 'subjectScheme': 'main'}, {'subject': 'Precipitation Rate', 'subjectScheme': 'main'}, {'subject': 'Droplet Size', 'subjectScheme': 'main'}, {'subject': 'DISDROMETERS', 'subjectScheme': 'main'}, {'subject': 'Ground networks', 'subjectScheme': 'main'}, {'subject': 'Hydrometeorological sites', 'subjectScheme': 'main'}, {'subject': 'Fixed Observation Stations', 'subjectScheme': 'main'}]",,['NETCDF']
+10.5281/zenodo.1035485,Code and data from: Global conservation of species' niches,Zenodo,2020,en,Software,"GNU Affero General Public License v3.0 or later,Open Access","This digital archive contains code and data associated with the publication ""Global conservation of species’ niches"" by Hanson et al. (2020). Note that many of the raw data files (e.g. extent of suitable habitat maps, protected area data) are not available in this archive, and must be obtained from the original sources (see README files for more information).",mds,True,findable,34,0,0,0,0,2020-03-19T21:03:35.000Z,2020-03-19T21:03:36.000Z,cern.zenodo,cern,"protected areas,evolution,biodiversity,Key Biodiversity Areas","[{'subject': 'protected areas'}, {'subject': 'evolution'}, {'subject': 'biodiversity'}, {'subject': 'Key Biodiversity Areas'}]",,
+10.5281/zenodo.5899162,Materials synthesis at terapascal static pressures,Zenodo,2022,,Dataset,"Creative Commons Attribution 4.0 International,Open Access","Extended Data for manuscript ""Materials synthesis at terapascal static pressures"".",mds,True,findable,0,0,0,0,0,2022-01-24T20:00:12.000Z,2022-01-24T20:00:16.000Z,cern.zenodo,cern,,,,
+10.13140/rg.2.2.10311.55208,Le travail coopératif dans le développement de la production orale en FLE,Université Grenoble Alpes,2018,fr,Text,,,mds,True,findable,0,0,0,0,0,2019-02-21T16:20:31.000Z,2019-02-21T16:20:31.000Z,rg.rg,rg,,,,
+10.5281/zenodo.5648316,Raw Data and Scripts for manuscript submitted to Oikos as 'Early Spring Snowmelt and Summer Droughts Strongly Impair the Resilience of Key Microbial Communities in a Subalpine Grassland Ecosystems',Zenodo,2021,,Dataset,"Creative Commons Attribution 4.0 International,Open Access",Raw Data and Scripts for manuscript submitted to PCI as 'Early Spring Snowmelt and Summer Droughts Strongly Impair the Resilience of Key Microbial Communities in Subalpine Grassland Ecosystems',mds,True,findable,0,0,0,0,0,2021-11-05T16:32:43.000Z,2021-11-05T16:32:44.000Z,cern.zenodo,cern,"climate change, grasslands, (de)nitrification, weather extremes, snowmelt, N2O","[{'subject': 'climate change, grasslands, (de)nitrification, weather extremes, snowmelt, N2O'}]",,
+10.5281/zenodo.4759503,"Figs. 46-51 in Contribution To The Knowledge Of The Protonemura Corsicana Species Group, With A Revision Of The North African Species Of The P. Talboti Subgroup (Plecoptera: Nemouridae)",Zenodo,2009,,Image,"Creative Commons Attribution 4.0 International,Open Access","Figs. 46-51. Terminalias of the imago of Protonemura berberica Vinçon & S{nchez-Ortega, 1999. 46: male terminalia, dorsal view; 47: male terminalia, ventral view; 48: male terminalia, lateral view; 49: male paraproct, ventrolateral view; 50: female pregenital and subgenital plates, and vaginal lobes, ventral view; 51: female pregenital and subgenital plates, and vaginal lobes, lateral view (scales 0.5 mm; scale 1: Fig. 49, scale 2: Figs. 46-48, 50-51).",mds,True,findable,0,0,2,0,0,2021-05-14T02:25:40.000Z,2021-05-14T02:25:40.000Z,cern.zenodo,cern,"Biodiversity,Taxonomy,Animalia,Arthropoda,Insecta,Plecoptera,Nemouridae,Protonemura","[{'subject': 'Biodiversity'}, {'subject': 'Taxonomy'}, {'subject': 'Animalia'}, {'subject': 'Arthropoda'}, {'subject': 'Insecta'}, {'subject': 'Plecoptera'}, {'subject': 'Nemouridae'}, {'subject': 'Protonemura'}]",,
+10.5281/zenodo.10205605,TEAL WCA: climate data platform for planning solar photovoltaic and wind energy resources in West and Central Africa,Zenodo,2023,,Text,Creative Commons Attribution 4.0 International,"This data platform entitled 'TEAL WCA: climate data platform for planning solar photovoltaic and wind energy resources in West and Central Africa' is a presentation of climate and energy resources data for two Sub-Saharan African regions. Climate change is now a fact and African countries are more vulnerable. To better prepare for mitigation and adaptation, projection information is needed. The challenge of climate model data output is that they are available at the global level and are associated with some biases. This makes studies at the country or sub-county level difficult especially impact study. This study aims to (i) downscale, (ii) bias-adjust, (iii) aggregate at country and sub-country levels, and (iv) estimate the wind power and solar power potential. Moreover, a database platform is built to make the prepared climate data and estimated energy potential dataset freely available for researchers, universities, and decision-makers in West and Central African countries. This manuscript presents the performance of the approach and the distribution of climate and energy variables. ",api,True,findable,0,0,0,0,0,2023-11-25T10:37:08.000Z,2023-11-25T10:37:08.000Z,cern.zenodo,cern,,,,
+10.48537/hal-03220310,"Realities aren’t Real!, A (Really) Brief Cinematic Chronicle of the Constant Resistance of the Real against Urban Planning Realities",Reseau International Ambiances,2020,en,Text,Creative Commons Attribution Non Commercial No Derivatives 2.0 Generic,"Planners are asked to deal with an aphoristically constructed urban reality, while being practically reluctant towards the ‘un-programmable’ real life of each citizen. However, the conceptions and perceptions of the Real (realities) have changed during the timespan. What follows is an anthology of the three pivotal mutations, which are linked to certain ‘structures of feeling’ (a term used by Raymond Williams): modern, postmodern and metamodern, and aspires to detect their inex- haustible mark on urban planning (conception of urban reality) and urban living (experience of the urban Real), as featured in three represen- tative films: Lang’s Metropolis (1927), Burton’s Batman Returns (1991) and Nolan’s Inception (2010).",mds,True,findable,0,0,0,0,0,2021-06-17T16:47:09.000Z,2021-06-17T16:47:09.000Z,jbru.aau,jbru,"Cinematic City,Real,Urban Planning Realities,Metamodernism,Phenomenology","[{'lang': 'eng', 'subject': 'Cinematic City'}, {'lang': 'eng', 'subject': 'Real'}, {'lang': 'eng', 'subject': 'Urban Planning Realities'}, {'lang': 'eng', 'subject': 'Metamodernism'}, {'lang': 'eng', 'subject': 'Phenomenology'}]",['6 pages'],['application/pdf']
+10.34847/nkl.5bcck3cz,"Moi, la Romanche",NAKALA - https://nakala.fr (Huma-Num - CNRS),2023,fr,Audiovisual,,"Au fil du temps, la Romanche s'est transformée, ses courbes aménagées, sa puissance exploitée, son destin capté. Mais cette rivière qu'a t-elle de singulier ?
+En partant de l'histoire de la rivière, en adoptant le point de vue des éléments naturels, en réinterrogeant l'usage des anciens habitants et en imaginant un futur à leur cours d'eau, les élèves ont construit une fable contemporaine sur leur territoire et son devenir.
-Mandatory: cite the reference article and the DOI of the observatory
+Ce film a été réalisé par le collectif ""Regards des lieux"", Printemps 2021, 15 min. 35 sec
- (1) Galle et al. (2018). AMMA-CATCH a Critical Zone Observatory in West Africa Monitoring a Region in Transition. Vadose Zone Journal, 17 (1), 18006.
- (2) AMMA-CATCH (1990). AMMA-CATCH : a hydrological, meteorological and ecological observatory on West Africa. IRD, CNRS-INSU, OSUG, OMP, OREME. doi:10.17178/AMMA-CATCH.all
+Film écrit et tourné par les élèves et les équipes pédagogiques des écoles de Livet-et-Gavet. Voir aussi le film ""Du village à l'écran"", réalisé avec les écoles en 2019.
-Optional: cite the DOI of each dataset used.
+Merci à Bastien Bourdon, EDF Hydro, Christophe Séraudie, Mélanie Chiazza.
-Co-authorship: depending on the contribution of the data to the scientific results obtained, the authors should either propose co-authorship to the data providers or at least acknowledge their contribution.",Quantification of water redistribution along hillslopes within an endoreic sand dune system at the Agoufou local site.,mds,True,findable,0,0,1,0,0,2018-03-16T15:37:04.000Z,2018-03-16T15:37:04.000Z,inist.osug,jbru,"Water redistribution, soil humidity profile,Sahelian/Saharan climate,Soil Moisture/Water Content at depth 30 cm,Soil Moisture/Water Content at depth 1 m,Soil Moisture/Water Content integrated from 0 to -6 cm,Soil Moisture/Water Content at depth 40 cm,Soil Moisture/Water Content at depth 20 cm,Soil Moisture/Water Content at depth 10 cm,Soil Moisture/Water Content at depth 60 cm","[{'subject': 'Water redistribution, soil humidity profile', 'subjectScheme': 'main'}, {'subject': 'Sahelian/Saharan climate', 'subjectScheme': 'main'}, {'subject': 'Soil Moisture/Water Content at depth 30 cm', 'subjectScheme': 'var'}, {'subject': 'Soil Moisture/Water Content at depth 1 m', 'subjectScheme': 'var'}, {'subject': 'Soil Moisture/Water Content integrated from 0 to -6 cm', 'subjectScheme': 'var'}, {'subject': 'Soil Moisture/Water Content at depth 40 cm', 'subjectScheme': 'var'}, {'subject': 'Soil Moisture/Water Content at depth 20 cm', 'subjectScheme': 'var'}, {'subject': 'Soil Moisture/Water Content at depth 10 cm', 'subjectScheme': 'var'}, {'subject': 'Soil Moisture/Water Content at depth 60 cm', 'subjectScheme': 'var'}]",,"['CSV', 'NETCDF', 'O&M 1.0']"
-10.17178/draixbleone_gal_rob_dsd_1420,"Drop Size Distribution (DSD) at the Robine station (Lat : 44,17029 ; Lon : 6,21532)",IGE - CNRS - OSUG,2020,en,Dataset,"Creative Commons Attribution 4.0 International,The following acknowledging sentence should appear in publications using data and products from the Galabre watershed of the Draix Bleone Observatory: ""DRAIX BLEONE is funded by the Institut National des Sciences de l’Univers (INSU/CNRS) and the Observatoire des Sciences de l’Univers de Grenoble (OSUG / Université Grenoble Alpes)â€.,Always quote below citation to Legout et al. (submitted) when using these data. Legout C., Freche G., Biron R., Esteves M., Nord G, Navratil O., Uber M., Grangeon T., Hachgenei N., Boudevillain B. Voiron C., Spadini L. A critical zone observatory dedicated to suspended sediment transport: the meso-scale Galabre catchment (southern French Alps), submitted to Hydrological Processes.",This DSD data set is part of the DRAIXBLEONE_GAL observatory.,mds,True,findable,0,0,0,0,0,2020-09-15T15:58:41.000Z,2020-09-15T15:58:42.000Z,inist.osug,jbru,"Mediterranean mountainous climate,Precipitation,Meteorology","[{'subject': 'Mediterranean mountainous climate', 'subjectScheme': 'main'}, {'subject': 'Precipitation', 'subjectScheme': 'var'}, {'subject': 'Meteorology', 'subjectScheme': 'var'}]",,['CSV']
-10.17178/ohmcv.dsd.vb1.12-14.1,"DSD network, Villeneuve-de-Berg-1",CNRS - OSUG - OREME,2011,en,Dataset,"Data access and use are ruled by the OHMCV data policy.,The following acknowledging sentence should appear in publications using OHMCV data and products: ""OHMCV is funded by the Institut National des Sciences de l’Univers (INSU/CNRS) and the Observatoire des Sciences de l’Univers de Grenoble (OSUG / Université Grenoble Alpes)â€.",This dataset is part of the Cevennesâ€Vivarais Mediterranean Hydrometeorological Observatory (OHMCV),mds,True,findable,0,0,1,1,0,2017-03-10T17:09:22.000Z,2017-03-10T17:09:23.000Z,inist.osug,jbru,"Atmospheric conditions,Precipitation Rate,Droplet Size,DISDROMETERS,Ground networks,Hydrometeorological sites,Fixed Observation Stations","[{'subject': 'Atmospheric conditions', 'subjectScheme': 'main'}, {'subject': 'Precipitation Rate', 'subjectScheme': 'main'}, {'subject': 'Droplet Size', 'subjectScheme': 'main'}, {'subject': 'DISDROMETERS', 'subjectScheme': 'main'}, {'subject': 'Ground networks', 'subjectScheme': 'main'}, {'subject': 'Hydrometeorological sites', 'subjectScheme': 'main'}, {'subject': 'Fixed Observation Stations', 'subjectScheme': 'main'}]",,['NETCDF']
-10.17178/amma-catch.ce.sw_nc,"Soil dataset (soil moisture and temperature profiles), within the Fakara site (2 000 km2), Niger","IRD, CNRS-INSU, OSUG, OMP, OREME",2004,en,Dataset,"Creative Commons Attribution 4.0 International,Data access and use are ruled by the AMMA-CATCH data policy.,For any publication using AMMA-CATCH data, authors are asked to:
+Avec la participation de Fondation de France - Programme Grandir en culture, Communauté de communes de l'Oisans, Caisse d'allocation familiale de l'Isère.
-Mandatory: cite the reference article and the DOI of the observatory
+Regards des lieux est soutenu par Ville de Grenoble, Conseil départemental de l'Isère, Région Auvergne Rhône-Alpes, DRAC Région Auvergne Rhône-Alpes.",api,True,findable,0,0,0,0,0,2023-10-03T09:15:55.000Z,2023-10-03T09:15:56.000Z,inist.humanum,jbru,"""Mémoires des lieux,histoire orale,histoires de vie,enquêtes de terrain (ethnologie),Désindustrialisation,Patrimoine industriel,Pollution de l'air,Montagnes – aménagement,Énergie hydraulique,Rives – aménagement,Romanche, Vallée de la (France),Keller, Charles Albert (1874-1940 , Ingénieur A&M),patrimoine immatériel,Conditions de travail,classe ouvrière,Torrents,Risque,Chansons enfantines,enfants,voix,Attachement à un lieu","[{'lang': 'fr', 'subject': '""Mémoires des lieux'}, {'lang': 'fr', 'subject': 'histoire orale'}, {'lang': 'fr', 'subject': 'histoires de vie'}, {'lang': 'fr', 'subject': 'enquêtes de terrain (ethnologie)'}, {'lang': 'fr', 'subject': 'Désindustrialisation'}, {'lang': 'fr', 'subject': 'Patrimoine industriel'}, {'lang': 'fr', 'subject': ""Pollution de l'air""}, {'lang': 'fr', 'subject': 'Montagnes – aménagement'}, {'lang': 'fr', 'subject': 'Énergie hydraulique'}, {'lang': 'fr', 'subject': 'Rives – aménagement'}, {'lang': 'fr', 'subject': 'Romanche, Vallée de la (France)'}, {'lang': 'fr', 'subject': 'Keller, Charles Albert (1874-1940 , Ingénieur A&M)'}, {'lang': 'fr', 'subject': 'patrimoine immatériel'}, {'lang': 'fr', 'subject': 'Conditions de travail'}, {'lang': 'fr', 'subject': 'classe ouvrière'}, {'lang': 'fr', 'subject': 'Torrents'}, {'lang': 'fr', 'subject': 'Risque'}, {'lang': 'fr', 'subject': 'Chansons enfantines'}, {'lang': 'fr', 'subject': 'enfants'}, {'lang': 'fr', 'subject': 'voix'}, {'lang': 'fr', 'subject': 'Attachement à un lieu'}]",['596667242 Bytes'],['video/mp4']
+10.5281/zenodo.8225005,Introduction: Extending the reach of English pronunciation issues and practices,Zenodo,2023,en,Other,"Creative Commons Attribution 4.0 International,Open Access","This chapter is the Introduction to the Proceedings of the 7th International Conference English Pronunciation: Issues and Practices (EPIP 7) held May 18–20, 2022 at Université Grenoble-Alpes, France.",mds,True,findable,0,0,0,0,0,2023-08-08T13:50:08.000Z,2023-08-08T13:50:08.000Z,cern.zenodo,cern,English pronunciation,[{'subject': 'English pronunciation'}],,
+10.48537/hal-03220250,"Ambiances of Anthropocene on Thessaly Territory, Greece: A Critical Dictionary",Reseau International Ambiances,2020,en,Text,Creative Commons Attribution Non Commercial No Derivatives 2.0 Generic,"In 20th century, at Thessaly region a series of paradigmatic metamor-phoses took place that transformed both the spatial and environmental aspects of this landscape. Focusing on Thessaly’s environmental and spatial peculiarities and exploring the region’s human footprint this paper proposes a metho- dology that underlines their significance in the context of Anthropocene. The methodological tool is an ongoing dictionary of terms – textual et visual – exported from the specific territory and contributing to a wider observatory of Anthro- pocene. The methodol-ogy of the dictionary is applied not only as an accredited tool of terminological mapping, but also as a critical interpretation mechanism through which we will be able to perceive current and future changes of our living environments.",fabrica,True,findable,0,0,0,0,0,2021-06-16T16:33:31.000Z,2021-06-16T16:33:31.000Z,jbru.aau,jbru,"Anthropocene,Thessaly,Dictionary,Ambiences,Countryside","[{'lang': 'eng', 'subject': 'Anthropocene'}, {'lang': 'eng', 'subject': 'Thessaly'}, {'lang': 'eng', 'subject': 'Dictionary'}, {'lang': 'eng', 'subject': 'Ambiences'}, {'lang': 'eng', 'subject': 'Countryside'}]",['6 pages'],['application/pdf']
+10.17178/emaa_para-nhd2_rotation_8fdc530e,Rotation excitation of para-NHD2 by para-H2 collisions,"UGA, CNRS, CNRS-INSU, OSUG",2021,en,Dataset,"Please acknowledge the use of EMAA Database by citing the original articles in which the data were published (BibTeX format available), and adding the following sentence in your publication:
+This research has made use of spectroscopic and collisional data from the EMAA database (https://emaa.osug.fr). EMAA is supported by the Observatoire des Sciences de l'Univers de Grenoble (OSUG),Creative Commons Attribution 4.0 International,Data access and use are ruled by the EMAA data policy.",16 rotation energy levels / 48 radiative transitions / 120 collisional transitions for para-H2 (10 temperatures in the range 5-50K),mds,True,findable,0,0,0,0,0,2021-11-17T14:02:23.000Z,2021-11-17T14:02:24.000Z,inist.osug,jbru,"target para-NHD2,excitationType Rotation,collisional excitation,collider.0 para-H2,astrophysics,interstellar medium,comets,circumstellar medium,gas,microwave spectroscopy,infrared spectroscopy,rotational excitation,rovibrational excitation,vibrational excitation,electronic excitation,collisional rate coefficients,fine structure,hyperfine structure","[{'subject': 'target para-NHD2', 'subjectScheme': 'main'}, {'subject': 'excitationType Rotation', 'subjectScheme': 'main'}, {'subject': 'collisional excitation', 'subjectScheme': 'main'}, {'subject': 'collider.0 para-H2', 'subjectScheme': 'var'}, {'subject': 'astrophysics', 'subjectScheme': 'var'}, {'subject': 'interstellar medium', 'subjectScheme': 'var'}, {'subject': 'comets', 'subjectScheme': 'var'}, {'subject': 'circumstellar medium', 'subjectScheme': 'var'}, {'subject': 'gas', 'subjectScheme': 'var'}, {'subject': 'microwave spectroscopy', 'subjectScheme': 'var'}, {'subject': 'infrared spectroscopy', 'subjectScheme': 'var'}, {'subject': 'rotational excitation', 'subjectScheme': 'var'}, {'subject': 'rovibrational excitation', 'subjectScheme': 'var'}, {'subject': 'vibrational excitation', 'subjectScheme': 'var'}, {'subject': 'electronic excitation', 'subjectScheme': 'var'}, {'subject': 'collisional rate coefficients', 'subjectScheme': 'var'}, {'subject': 'fine structure', 'subjectScheme': 'var'}, {'subject': 'hyperfine structure', 'subjectScheme': 'var'}]",,['Radex']
+10.48537/hal-03220360,"Reasonance, Sensing a Shitstorm",Reseau International Ambiances,2020,en,Text,Creative Commons Attribution Non Commercial No Derivatives 2.0 Generic,"In this paper we explore how the affective and bodily experience of being the centre of a written shitstorm, can be translated to others through sensification. Through the 3D system Sound-O-Matic3, our installation aims to explore how an auralization of a shit- storm can allow the listeners to be affected by an atmosphere that was earlier only felt by the exposed individual. The paper describes the design process guided by the concept of reasonance through an infræsthetic approach, as a way to explore, how we should not only resonate with the experience, but also critically reflect on the entanglements of resonance and reason. We identify four main refrains in the shitstorm that can be translated into the present through the installation, extending the shitstorm into a new sensory space that we can hear, feel and discuss.",mds,True,findable,0,0,0,0,0,2021-06-17T09:44:28.000Z,2021-06-17T09:44:29.000Z,jbru.aau,jbru,"Sound installation,shitstorm,reasonance,infræsthetic,affective atmosphere","[{'lang': 'eng', 'subject': 'Sound installation'}, {'lang': 'eng', 'subject': 'shitstorm'}, {'lang': 'eng', 'subject': 'reasonance'}, {'lang': 'eng', 'subject': 'infræsthetic'}, {'lang': 'eng', 'subject': 'affective atmosphere'}]",['6 pages'],['application/pdf']
+10.48537/hal-03220361,"Playable Sound, Hauntology in Bioshock, a Video Game for a Lost Future",Reseau International Ambiances,2020,en,Text,Creative Commons Attribution Non Commercial No Derivatives 2.0 Generic,"The medium of VideoGames, recognised as a hyper-sensory event and a new “form of literacy†according to Zimmerman, allows for the creation of atmospheres which exceed the sum of the parts, meaning audio, graphics, mechanics, etc. This paper focuses on the immersive, Dionysian aspect of sound which can create a nostalgic atmosphere for a lost future. Bioshock, displaying all sorts of atmospheric qualities, is a multi-awarded, first-person shooter game with RPG, horror and stealth game references. Its soundtrack will be analysed through the spectrum of hauntology, a term coined by Derrida, aiming to show how audio can be used to evoke extra-musical memories and contribute to the creation of a rich synthetic reality resulting in the longing of an unrealised utopia.",mds,True,findable,0,0,0,0,0,2021-06-17T10:17:34.000Z,2021-06-17T10:17:35.000Z,jbru.aau,jbru,"Soundtrack,Video Game,Hauntology,Memory,Referential Listening","[{'lang': 'eng', 'subject': 'Soundtrack'}, {'lang': 'eng', 'subject': 'Video Game'}, {'lang': 'eng', 'subject': 'Hauntology'}, {'lang': 'eng', 'subject': 'Memory'}, {'lang': 'eng', 'subject': 'Referential Listening'}]",['6 pages'],['application/pdf']
+10.6084/m9.figshare.24165071,Additional file 1 of Non-ventilator-associated ICU-acquired pneumonia (NV-ICU-AP) in patients with acute exacerbation of COPD: From the French OUTCOMEREA cohort,figshare,2023,,Text,Creative Commons Attribution 4.0 International,Additional file 1. Members of the OutcomeRea Network.,mds,True,findable,0,0,0,0,0,2023-09-20T03:22:50.000Z,2023-09-20T03:22:50.000Z,figshare.ars,otjm,"Medicine,Microbiology,FOS: Biological sciences,Genetics,Molecular Biology,Neuroscience,Biotechnology,Evolutionary Biology,Immunology,FOS: Clinical medicine,Cancer,Science Policy,Virology","[{'subject': 'Medicine'}, {'subject': 'Microbiology'}, {'subject': 'FOS: Biological sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Genetics'}, {'subject': 'Molecular Biology'}, {'subject': 'Neuroscience'}, {'subject': 'Biotechnology'}, {'subject': 'Evolutionary Biology'}, {'subject': 'Immunology'}, {'subject': 'FOS: Clinical medicine', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Cancer'}, {'subject': 'Science Policy'}, {'subject': 'Virology'}]",['107186 Bytes'],
+10.57745/xhq7tl,Annual glacier surface flow velocity product from Sentinel-2 data for the European Alps,Recherche Data Gouv,2023,,Dataset,,"Glacier ice flow velocity is an important variable to document the past and current status of the glacier worldwide. The aim of the ESA AlpGlacier project is to create innovative products for glaciers and their environments from remote sensing data for the European Alps mountain range. The data set proposed here includes maps of annual glacier surface flow velocities for the period 2015-2021, created from Sentinel-2 optical data with the work-flow presented in Mouginot et al., 2023. It can be used for the monitoring of glacier dynamics or for hazards detection associated to glaciers destabilization, as well as an input of models calibration and validation. These products are distributed in both netCDF and GeoTiff formats, georeferenced under the UTM-32N projection.",mds,True,findable,280,28,0,0,0,2023-03-01T09:50:30.000Z,2023-03-02T14:05:25.000Z,rdg.prod,rdg,,,,
+10.5281/zenodo.8269854,Heterogeneous/Homogeneous Change Detection dataset,Zenodo,2023,en,Dataset,Creative Commons Attribution 4.0 International,"""Please if you use this datasets we appreciated that you reference this repository and cite the works related that made possible the generation of this dataset.""
+This change detection datastet has different events, satellites, resolutions and includes both homogeneous/heterogeneous cases. The main idea of the dataset is to bring a benchmark on semantic change detection in remote sensing field.This dataset is the outcome of the following publications:
- (1) Galle et al. (2018). AMMA-CATCH a Critical Zone Observatory in West Africa Monitoring a Region in Transition. Vadose Zone Journal, 17 (1), 18006.
- (2) AMMA-CATCH (1990). AMMA-CATCH : a hydrological, meteorological and ecological observatory on West Africa. IRD, CNRS-INSU, OSUG, OMP, OREME. doi:10.17178/AMMA-CATCH.all
+@article{Â Â Â JimenezSierra2022graph,author={Jimenez-Sierra, David Alejandro and Quintero-Olaya, David Alfredo and Alvear-Mu{\~n}oz, Juan Carlos and Ben{\'i}tez-Restrepo, Hern{\'a}n Dar{\'i}o and Florez-Ospina, Juan Felipe and Chanussot, Jocelyn},journal={IEEE Transactions on Geoscience and Remote Sensing},title={Graph Learning Based on Signal Smoothness Representation for Homogeneous and Heterogeneous Change Detection},year={2022},volume={60},number={},pages={1-16},doi={10.1109/TGRS.2022.3168126}}Â
+@article{Â Â Â JimenezSierra2020graph,title={Graph-Based Data Fusion Applied to: Change Detection and Biomass Estimation in Rice Crops},author={Jimenez-Sierra, David Alejandro and Ben{\'i}tez-Restrepo, Hern{\'a}n Dar{\'i}o and Vargas-Cardona, Hern{\'a}n Dar{\'i}o and Chanussot, Jocelyn},journal={Remote Sensing},volume={12},number={17},pages={2683},year={2020},publisher={Multidisciplinary Digital Publishing Institute},doi={10.3390/rs12172683}}Â
+@inproceedings{jimenez2021blue,title={Blue noise sampling and Nystrom extension for graph based change detection},author={Jimenez-Sierra, David Alejandro and Ben{\'\i}tez-Restrepo, Hern{\'a}n Dar{\'\i}o and Arce, Gonzalo R and Florez-Ospina, Juan F},booktitle={2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS},ages={2895--2898},year={2021},organization={IEEE},doi={10.1109/IGARSS47720.2021.9555107}}Â
+@article{florez2023exploiting,title={Exploiting variational inequalities for generalized change detection on graphs},author={Florez-Ospina, Juan F and Jimenez Sierra, David A and Benitez-Restrepo, Hernan D and Arce, Gonzalo},journal={IEEE Transactions on Geoscience and Remote Sensing}, Â year={2023},volume={61},number={},pages={1-16},doi={10.1109/TGRS.2023.3322377}}Â
+@article{florez2023exploitingxiv,title={Exploiting variational inequalities for generalized change detection on graphs},author={Florez-Ospina, Juan F. and Jimenez-Sierra, David A. and Benitez-Restrepo, Hernan D. and Arce, Gonzalo R},year={2023},publisher={TechRxiv},doi={10.36227/techrxiv.23295866.v1}}
+In the table on the html file (dataset_table.html) are tabulated all the metadata and details related to each case within the dasetet. The cases with a link, were gathered from those sources and authors, therefore you should refer to their work as well.
+The rest of the cases or events (without a link), were obtained through the use of open sources such as:
-Optional: cite the DOI of each dataset used.
+Copernicus
+European Space Agency
+Alaska Satellite Facility (Vertex)
+Earth Data
+In addition, we carried out all the processing of the images by using the SNAP toolbox from the European Space Agency. This proccessing involves the following:
-Co-authorship: depending on the contribution of the data to the scientific results obtained, the authors should either propose co-authorship to the data providers or at least acknowledge their contribution.",Documentation of soil water content and of soil hydrodynamic behaviour from surface to 2.5 m deep. Knowledge of main infiltration areas and of the speed of water front progression.,mds,True,findable,0,0,1,0,0,2018-03-16T15:37:04.000Z,2018-03-16T15:37:05.000Z,inist.osug,jbru,"Soil temperature, soil moisture content,Sahelian climate,Soil Moisture/CS616 Period at depth 5 cm,Soil Moisture/CS616 Period -0.4 to -0.7 m,Soil Moisture/CS616 Period at depth 5 cm (2),Soil Moisture/CS616 Period at depth 28 cm,Soil Water/Watermark Conductance at depth 11 cm,Soil Water/Watermark Conductance at height 1.19 m,Soil Water/Watermark Conductance at depth 2.3 m,Soil Temperature at depth 70 cm,Soil Temperature at depth 50 cm,Soil Moisture/CS616 Period at depth 15 cm,Soil Temperature at depth 1.15 m,Soil Temperature at depth 15 cm,Soil Water/Watermark Conductance at depth 2 m,Soil Water/Watermark Conductance at depth 2.47 m,Soil Moisture/CS615 Period -0.7 to -1 m,Soil Temperature at depth 30 cm,Soil Water/Watermark Conductance at depth 1.97 m,Soil Water/Watermark Conductance at depth 47 cm,Soil Water/Watermark Conductance at depth 2.27 m,Soil Moisture/CS616 Period -1.3 to -1.6 m,Soil Water/Watermark Conductance at depth 1.5 m,Soil Temperature at depth 1.5 m,Soil Water/Watermark Conductance at height 86 cm,Soil Water/Watermark Conductance at depth 2.5 m,Soil Moisture/CS616 Period at height 28 cm,Soil Temperature at depth 85 cm,Soil Water/Watermark Conductance at depth 25 cm,Soil Water/Watermark Conductance at depth 85 cm,Soil Water/Watermark Conductance at depth 30 cm,Soil Temperature at depth 25 cm,Soil Temperature at depth 55 cm,Soil Temperature at depth 1 m,Soil Moisture/CS616 Period at depth 30 cm,Soil Water/Watermark Conductance at height 43 cm,Soil Water/Watermark Conductance at height 38 cm,Soil Moisture/CS616 Period -1.4 to -1.7 m,Soil Moisture/CS616 Period -0.1 to -0.4 m,Soil Moisture/CS616 Period -0.7 to -1 m,Soil Moisture/CS616 Period -1.05 to -1.35 m,Soil Water/Watermark Conductance at depth 1.15 m,Soil Moisture/CS615 Period -1.05 to -1.35 m,Soil Water/Watermark Conductance at depth 1.33 m,Soil Water/Watermark Conductance at depth 29 cm,Soil Water/Watermark Conductance at depth 55 cm,Soil Water/Watermark Conductance at depth 1.47 m","[{'subject': 'Soil temperature, soil moisture content', 'subjectScheme': 'main'}, {'subject': 'Sahelian climate', 'subjectScheme': 'main'}, {'subject': 'Soil Moisture/CS616 Period at depth 5 cm', 'subjectScheme': 'var'}, {'subject': 'Soil Moisture/CS616 Period -0.4 to -0.7 m', 'subjectScheme': 'var'}, {'subject': 'Soil Moisture/CS616 Period at depth 5 cm (2)', 'subjectScheme': 'var'}, {'subject': 'Soil Moisture/CS616 Period at depth 28 cm', 'subjectScheme': 'var'}, {'subject': 'Soil Water/Watermark Conductance at depth 11 cm', 'subjectScheme': 'var'}, {'subject': 'Soil Water/Watermark Conductance at height 1.19 m', 'subjectScheme': 'var'}, {'subject': 'Soil Water/Watermark Conductance at depth 2.3 m', 'subjectScheme': 'var'}, {'subject': 'Soil Temperature at depth 70 cm', 'subjectScheme': 'var'}, {'subject': 'Soil Temperature at depth 50 cm', 'subjectScheme': 'var'}, {'subject': 'Soil Moisture/CS616 Period at depth 15 cm', 'subjectScheme': 'var'}, {'subject': 'Soil Temperature at depth 1.15 m', 'subjectScheme': 'var'}, {'subject': 'Soil Temperature at depth 15 cm', 'subjectScheme': 'var'}, {'subject': 'Soil Water/Watermark Conductance at depth 2 m', 'subjectScheme': 'var'}, {'subject': 'Soil Water/Watermark Conductance at depth 2.47 m', 'subjectScheme': 'var'}, {'subject': 'Soil Moisture/CS615 Period -0.7 to -1 m', 'subjectScheme': 'var'}, {'subject': 'Soil Temperature at depth 30 cm', 'subjectScheme': 'var'}, {'subject': 'Soil Water/Watermark Conductance at depth 1.97 m', 'subjectScheme': 'var'}, {'subject': 'Soil Water/Watermark Conductance at depth 47 cm', 'subjectScheme': 'var'}, {'subject': 'Soil Water/Watermark Conductance at depth 2.27 m', 'subjectScheme': 'var'}, {'subject': 'Soil Moisture/CS616 Period -1.3 to -1.6 m', 'subjectScheme': 'var'}, {'subject': 'Soil Water/Watermark Conductance at depth 1.5 m', 'subjectScheme': 'var'}, {'subject': 'Soil Temperature at depth 1.5 m', 'subjectScheme': 'var'}, {'subject': 'Soil Water/Watermark Conductance at height 86 cm', 'subjectScheme': 'var'}, {'subject': 'Soil Water/Watermark Conductance at depth 2.5 m', 'subjectScheme': 'var'}, {'subject': 'Soil Moisture/CS616 Period at height 28 cm', 'subjectScheme': 'var'}, {'subject': 'Soil Temperature at depth 85 cm', 'subjectScheme': 'var'}, {'subject': 'Soil Water/Watermark Conductance at depth 25 cm', 'subjectScheme': 'var'}, {'subject': 'Soil Water/Watermark Conductance at depth 85 cm', 'subjectScheme': 'var'}, {'subject': 'Soil Water/Watermark Conductance at depth 30 cm', 'subjectScheme': 'var'}, {'subject': 'Soil Temperature at depth 25 cm', 'subjectScheme': 'var'}, {'subject': 'Soil Temperature at depth 55 cm', 'subjectScheme': 'var'}, {'subject': 'Soil Temperature at depth 1 m', 'subjectScheme': 'var'}, {'subject': 'Soil Moisture/CS616 Period at depth 30 cm', 'subjectScheme': 'var'}, {'subject': 'Soil Water/Watermark Conductance at height 43 cm', 'subjectScheme': 'var'}, {'subject': 'Soil Water/Watermark Conductance at height 38 cm', 'subjectScheme': 'var'}, {'subject': 'Soil Moisture/CS616 Period -1.4 to -1.7 m', 'subjectScheme': 'var'}, {'subject': 'Soil Moisture/CS616 Period -0.1 to -0.4 m', 'subjectScheme': 'var'}, {'subject': 'Soil Moisture/CS616 Period -0.7 to -1 m', 'subjectScheme': 'var'}, {'subject': 'Soil Moisture/CS616 Period -1.05 to -1.35 m', 'subjectScheme': 'var'}, {'subject': 'Soil Water/Watermark Conductance at depth 1.15 m', 'subjectScheme': 'var'}, {'subject': 'Soil Moisture/CS615 Period -1.05 to -1.35 m', 'subjectScheme': 'var'}, {'subject': 'Soil Water/Watermark Conductance at depth 1.33 m', 'subjectScheme': 'var'}, {'subject': 'Soil Water/Watermark Conductance at depth 29 cm', 'subjectScheme': 'var'}, {'subject': 'Soil Water/Watermark Conductance at depth 55 cm', 'subjectScheme': 'var'}, {'subject': 'Soil Water/Watermark Conductance at depth 1.47 m', 'subjectScheme': 'var'}]",,"['CSV', 'NETCDF', 'O&M 1.0']"
-10.17178/draixbleone_gal_ain_met_1920,Meteorological data at the Ainac station of the Galabre watershed,IGE - CNRS - OSUG,2020,en,Dataset,"Creative Commons Attribution 4.0 International,The following acknowledging sentence should appear in publications using data and products from the Galabre watershed of the Draix Bleone Observatory: ""DRAIX BLEONE is funded by the Institut National des Sciences de l’Univers (INSU/CNRS) and the Observatoire des Sciences de l’Univers de Grenoble (OSUG / Université Grenoble Alpes)â€.,Always quote below citation to Legout et al. (submitted) when using these data. Legout C., Freche G., Biron R., Esteves M., Nord G, Navratil O., Uber M., Grangeon T., Hachgenei N., Boudevillain B. Voiron C., Spadini L. A critical zone observatory dedicated to suspended sediment transport: the meso-scale Galabre catchment (southern French Alps), submitted to Hydrological Processes.",This meteorological data set is part of the DRAIXBLEONE_GAL observatory.,mds,True,findable,0,0,0,0,0,2020-09-15T15:58:33.000Z,2020-09-15T15:58:33.000Z,inist.osug,jbru,"Mediterranean mountainous climate,Precipitation,Meteorology","[{'subject': 'Mediterranean mountainous climate', 'subjectScheme': 'main'}, {'subject': 'Precipitation', 'subjectScheme': 'var'}, {'subject': 'Meteorology', 'subjectScheme': 'var'}]",,['CSV']
-10.17178/cryobsclim.cdp.2018.metinsitu,"Col de Porte, Hourly meteorological data",CNRS - OSUG - Meteo France,2018,en,Dataset,"Data access and use are ruled by the CRYOBS-CLIM data policy.,Always quote below citation to Lejeune et al. (2019) when using data.
- Lejeune, Y., Dumont, M., Panel J.-M., Lafaysse, M., Lapalus, P., Le Gac, E., Lesaffre, B. and Morin, S., 57 years (1960-2017) of snow and meteorological observations from a mid-altitude mountain site (Col de Porte, France, 1325 m alt.), Earth System Science Data, 11(2019), 71-88, https://doi.org/10.5194/essd-11-71-2019. The following acknowledging sentence should appear in publications using Cryobs-Clim-CDP data and products: ""Cryobs-Clim Col de Porte is funded by Meteo France, the Institut National des Sciences de l’Univers (INSU/CNRS), and the Observatoire des Sciences de l’Univers de Grenoble (OSUG / Université Grenoble Alpes)â€. You are invited to contact the PI(s) or lead scientist for more information about the data and to include the acknowledgement sentence in any publication using the data.","This dataset is part of the Cryobs-Clim-CDP (CRYosphere, an OBServatory of the CLIMate – Col de Porte) observatory",mds,True,findable,0,0,1,0,0,2018-07-19T07:26:35.000Z,2018-07-19T07:27:38.000Z,inist.osug,jbru,"Air Temperature,Specific Humidity,Wind speed,Rainfall rate,Snowfall rate,Incident longwave radiation,Incident shortwave direct radiation,Incident shortwave diffuse radiation,Surface pressure,Nebulosity","[{'subject': 'Air Temperature', 'subjectScheme': 'main'}, {'subject': 'Specific Humidity', 'subjectScheme': 'main'}, {'subject': 'Wind speed', 'subjectScheme': 'main'}, {'subject': 'Rainfall rate', 'subjectScheme': 'main'}, {'subject': 'Snowfall rate', 'subjectScheme': 'main'}, {'subject': 'Incident longwave radiation', 'subjectScheme': 'main'}, {'subject': 'Incident shortwave direct radiation', 'subjectScheme': 'main'}, {'subject': 'Incident shortwave diffuse radiation', 'subjectScheme': 'main'}, {'subject': 'Surface pressure', 'subjectScheme': 'main'}, {'subject': 'Nebulosity', 'subjectScheme': 'main'}]",,['netCDF']
-10.17178/emaa_hc3n_hyperfine_f86a675e,Hyperfine excitation of HC3N by ortho-H2 and para-H2 collisions,"UGA, CNRS, CNRS-INSU, OSUG",2021,en,Dataset,"Please acknowledge the use of EMAA Database by citing the original articles in which the data were published (BibTeX format available), and adding the following sentence in your publication:
-This research has made use of spectroscopic and collisional data from the EMAA database (https://emaa.osug.fr). EMAA is supported by the Observatoire des Sciences de l'Univers de Grenoble (OSUG),Creative Commons Attribution 4.0 International,Data access and use are ruled by the EMAA data policy.",61 hyperfine energy levels / 108 radiative transitions / 1810 collisional transitions for para-H2 (10 temperatures in the range 10-100K) / 1810 collisional transitions for ortho-H2 (10 temperatures in the range 10-100K),mds,True,findable,0,0,0,0,0,2021-11-17T14:00:56.000Z,2021-11-17T14:00:58.000Z,inist.osug,jbru,"target HC3N,excitationType Hyperfine,collisional excitation,collider.0 para-H2,collider.1 ortho-H2,astrophysics,interstellar medium,comets,circumstellar medium,gas,microwave spectroscopy,infrared spectroscopy,rotational excitation,rovibrational excitation,vibrational excitation,electronic excitation,collisional rate coefficients,fine structure,hyperfine structure","[{'subject': 'target HC3N', 'subjectScheme': 'main'}, {'subject': 'excitationType Hyperfine', 'subjectScheme': 'main'}, {'subject': 'collisional excitation', 'subjectScheme': 'main'}, {'subject': 'collider.0 para-H2', 'subjectScheme': 'var'}, {'subject': 'collider.1 ortho-H2', 'subjectScheme': 'var'}, {'subject': 'astrophysics', 'subjectScheme': 'var'}, {'subject': 'interstellar medium', 'subjectScheme': 'var'}, {'subject': 'comets', 'subjectScheme': 'var'}, {'subject': 'circumstellar medium', 'subjectScheme': 'var'}, {'subject': 'gas', 'subjectScheme': 'var'}, {'subject': 'microwave spectroscopy', 'subjectScheme': 'var'}, {'subject': 'infrared spectroscopy', 'subjectScheme': 'var'}, {'subject': 'rotational excitation', 'subjectScheme': 'var'}, {'subject': 'rovibrational excitation', 'subjectScheme': 'var'}, {'subject': 'vibrational excitation', 'subjectScheme': 'var'}, {'subject': 'electronic excitation', 'subjectScheme': 'var'}, {'subject': 'collisional rate coefficients', 'subjectScheme': 'var'}, {'subject': 'fine structure', 'subjectScheme': 'var'}, {'subject': 'hyperfine structure', 'subjectScheme': 'var'}]",,['Radex']
-10.17178/emaa_para-h2co_rotation_0b3b04a6,Rotation excitation of para-H2CO by ortho-H2 and para-H2 collisions,"UGA, CNRS, CNRS-INSU, OSUG",2021,en,Dataset,"Please acknowledge the use of EMAA Database by citing the original articles in which the data were published (BibTeX format available), and adding the following sentence in your publication:
-This research has made use of spectroscopic and collisional data from the EMAA database (https://emaa.osug.fr). EMAA is supported by the Observatoire des Sciences de l'Univers de Grenoble (OSUG),Creative Commons Attribution 4.0 International,Data access and use are ruled by the EMAA data policy.",41 rotation energy levels / 115 radiative transitions / 820 collisional transitions for ortho-H2 (21 temperatures in the range 10-300K) / 820 collisional transitions for para-H2 (21 temperatures in the range 10-300K),mds,True,findable,0,0,0,0,0,2021-11-17T14:02:02.000Z,2021-11-17T14:02:04.000Z,inist.osug,jbru,"target para-H2CO,excitationType Rotation,collisional excitation,collider.0 ortho-H2,collider.1 para-H2,astrophysics,interstellar medium,comets,circumstellar medium,gas,microwave spectroscopy,infrared spectroscopy,rotational excitation,rovibrational excitation,vibrational excitation,electronic excitation,collisional rate coefficients,fine structure,hyperfine structure","[{'subject': 'target para-H2CO', 'subjectScheme': 'main'}, {'subject': 'excitationType Rotation', 'subjectScheme': 'main'}, {'subject': 'collisional excitation', 'subjectScheme': 'main'}, {'subject': 'collider.0 ortho-H2', 'subjectScheme': 'var'}, {'subject': 'collider.1 para-H2', 'subjectScheme': 'var'}, {'subject': 'astrophysics', 'subjectScheme': 'var'}, {'subject': 'interstellar medium', 'subjectScheme': 'var'}, {'subject': 'comets', 'subjectScheme': 'var'}, {'subject': 'circumstellar medium', 'subjectScheme': 'var'}, {'subject': 'gas', 'subjectScheme': 'var'}, {'subject': 'microwave spectroscopy', 'subjectScheme': 'var'}, {'subject': 'infrared spectroscopy', 'subjectScheme': 'var'}, {'subject': 'rotational excitation', 'subjectScheme': 'var'}, {'subject': 'rovibrational excitation', 'subjectScheme': 'var'}, {'subject': 'vibrational excitation', 'subjectScheme': 'var'}, {'subject': 'electronic excitation', 'subjectScheme': 'var'}, {'subject': 'collisional rate coefficients', 'subjectScheme': 'var'}, {'subject': 'fine structure', 'subjectScheme': 'var'}, {'subject': 'hyperfine structure', 'subjectScheme': 'var'}]",,['Radex']
-10.17178/emaa_h(13c)n_hyperfine_9c162ef8,Hyperfine excitation of H[13C]N by electron and para-H2 collisions,"UGA, CNRS, CNRS-INSU, OSUG",2021,en,Dataset,"Please acknowledge the use of EMAA Database by citing the original articles in which the data were published (BibTeX format available), and adding the following sentence in your publication:
-This research has made use of spectroscopic and collisional data from the EMAA database (https://emaa.osug.fr). EMAA is supported by the Observatoire des Sciences de l'Univers de Grenoble (OSUG),Creative Commons Attribution 4.0 International,Data access and use are ruled by the EMAA data policy.",16 hyperfine energy levels / 27 radiative transitions / 115 collisional transitions for electron (12 temperatures in the range 10-1000K) / 120 collisional transitions for para-H2 (6 temperatures in the range 5-30K),mds,True,findable,0,0,0,0,0,2021-11-18T13:34:49.000Z,2021-11-18T13:34:50.000Z,inist.osug,jbru,"target H[13C]N,excitationType Hyperfine,collisional excitation,collider.0 electron,collider.1 para-H2,astrophysics,interstellar medium,comets,circumstellar medium,gas,microwave spectroscopy,infrared spectroscopy,rotational excitation,rovibrational excitation,vibrational excitation,electronic excitation,collisional rate coefficients,fine structure,hyperfine structure","[{'subject': 'target H[13C]N', 'subjectScheme': 'main'}, {'subject': 'excitationType Hyperfine', 'subjectScheme': 'main'}, {'subject': 'collisional excitation', 'subjectScheme': 'main'}, {'subject': 'collider.0 electron', 'subjectScheme': 'var'}, {'subject': 'collider.1 para-H2', 'subjectScheme': 'var'}, {'subject': 'astrophysics', 'subjectScheme': 'var'}, {'subject': 'interstellar medium', 'subjectScheme': 'var'}, {'subject': 'comets', 'subjectScheme': 'var'}, {'subject': 'circumstellar medium', 'subjectScheme': 'var'}, {'subject': 'gas', 'subjectScheme': 'var'}, {'subject': 'microwave spectroscopy', 'subjectScheme': 'var'}, {'subject': 'infrared spectroscopy', 'subjectScheme': 'var'}, {'subject': 'rotational excitation', 'subjectScheme': 'var'}, {'subject': 'rovibrational excitation', 'subjectScheme': 'var'}, {'subject': 'vibrational excitation', 'subjectScheme': 'var'}, {'subject': 'electronic excitation', 'subjectScheme': 'var'}, {'subject': 'collisional rate coefficients', 'subjectScheme': 'var'}, {'subject': 'fine structure', 'subjectScheme': 'var'}, {'subject': 'hyperfine structure', 'subjectScheme': 'var'}]",,['Radex']
-10.17178/amma-catch.senegal,"AMMA-CATCH observatory: Ferlo and Niakhar complementary sites in the Sahelian pastoral zone, Senegal","IRD, CNRS-INSU, OSUG, OMP, OREME",2013,en,Dataset,"Creative Commons Attribution 4.0 International,Data access and use are ruled by the AMMA-CATCH data policy.,For any publication using AMMA-CATCH data, authors are asked to:
+Data co-registration
+Cropping
+Apply Orbit (for SAR data)
+Calibration (for SAR data)
+Speckle Filter (for SAR data)
+Terrain Correction (for SAR data)
+Lastly, the ground truth was obtained from homogeneous images for pre/post events by drawing polygons to highlight the areas where a visible change was present. The images where layout and synchorized to be zoomed over the same are to have a better view of changes. This was an exhaustive work in order to be precise as possible.Feel free to improve and contribute to this dataset.",api,True,findable,0,0,0,0,1,2023-11-05T15:26:41.000Z,2023-11-05T15:26:41.000Z,cern.zenodo,cern,"Remote sensing,Change Detection,Multi-Spectral,SAR","[{'subject': 'Remote sensing'}, {'subject': 'Change Detection'}, {'subject': 'Multi-Spectral'}, {'subject': 'SAR'}]",,
+10.17178/emaa_ch-plus_rotation_47eb31e0,Rotation excitation of CH+ by H and electron collisions,"UGA, CNRS, CNRS-INSU, OSUG",2021,en,Dataset,"Please acknowledge the use of EMAA Database by citing the original articles in which the data were published (BibTeX format available), and adding the following sentence in your publication:
+This research has made use of spectroscopic and collisional data from the EMAA database (https://emaa.osug.fr). EMAA is supported by the Observatoire des Sciences de l'Univers de Grenoble (OSUG),Creative Commons Attribution 4.0 International,Data access and use are ruled by the EMAA data policy.",14 rotation energy levels / 13 radiative transitions / 91 collisional transitions for H (12 temperatures in the range 10-3000K) / 76 collisional transitions for electron (12 temperatures in the range 10-3000K),mds,True,findable,0,0,0,0,0,2021-11-18T13:34:39.000Z,2021-11-18T13:34:40.000Z,inist.osug,jbru,"target CH+,excitationType Rotation,collisional excitation,collider.0 H,collider.1 electron,astrophysics,interstellar medium,comets,circumstellar medium,gas,microwave spectroscopy,infrared spectroscopy,rotational excitation,rovibrational excitation,vibrational excitation,electronic excitation,collisional rate coefficients,fine structure,hyperfine structure","[{'subject': 'target CH+', 'subjectScheme': 'main'}, {'subject': 'excitationType Rotation', 'subjectScheme': 'main'}, {'subject': 'collisional excitation', 'subjectScheme': 'main'}, {'subject': 'collider.0 H', 'subjectScheme': 'var'}, {'subject': 'collider.1 electron', 'subjectScheme': 'var'}, {'subject': 'astrophysics', 'subjectScheme': 'var'}, {'subject': 'interstellar medium', 'subjectScheme': 'var'}, {'subject': 'comets', 'subjectScheme': 'var'}, {'subject': 'circumstellar medium', 'subjectScheme': 'var'}, {'subject': 'gas', 'subjectScheme': 'var'}, {'subject': 'microwave spectroscopy', 'subjectScheme': 'var'}, {'subject': 'infrared spectroscopy', 'subjectScheme': 'var'}, {'subject': 'rotational excitation', 'subjectScheme': 'var'}, {'subject': 'rovibrational excitation', 'subjectScheme': 'var'}, {'subject': 'vibrational excitation', 'subjectScheme': 'var'}, {'subject': 'electronic excitation', 'subjectScheme': 'var'}, {'subject': 'collisional rate coefficients', 'subjectScheme': 'var'}, {'subject': 'fine structure', 'subjectScheme': 'var'}, {'subject': 'hyperfine structure', 'subjectScheme': 'var'}]",,['Radex']
+10.5281/zenodo.7007289,2D honeycomb transformation into dodecagonal quasicrystals driven by electrostatic forces,Zenodo,2022,,Dataset,"Creative Commons Attribution 4.0 International,Open Access","This repository contains the key input and output files used for the density fucntional theory calculations of the paper ""Mechanism of 2D Oxide Quasicrystal formation from honeycomb structures"" by Sebastian Schenk, Oliver Krahn, Eric Cockayne, Holger L. Meyerheim, Marc deBoissieu, Stefan F""orster, and Wolf Widdra (2022). The calculations were performed using the DFT code VASP, version 5.4.4 [Commercial software is mentioned in this README file to adquately described the procedure. This does not imply an endorsement or recommendation by the National Institute of Standards and Technology, nor that the software used is necessarily the best for the given<br> purpose.] The subfolder large_approximant contains the files for the large Sr<sub>48</sub>Ti<sub>132</sub>O<sub>204</sub> approximant on a Pt monolayer. Subfolders honeycomb/Pt<sub>N</sub> and sigma/Pt<sub>N</sub> contain the files for honeycomb and sigma Ba<sub>8</sub>Ti<sub>24</sub>O<sub>36</sub> structures on Pt trilayers with N Pt per layer per periodic cell. Subfolders honeycomb/Pt<sub>N</sub>/substrate contain the corresponding files<br> for the Pt substrate alone. The honeycomb and sigma structures are at the equilibrium strain as determined by matching interpolated stress results, as described in the Supplementary Information associated with the main Article. The input files are the standard VASP input files: POSCAR (structure information), POTCAR_TITEL (pseudopotential information. Because the VASP pseudopotential files are proprietary, only the titles of the pseudopotentials used are given), KPOINTS (k-point generation) and INCAR (most calculation details). To accelerate the DFT van der Waals calculation, the file vdw_kernel.bindat from the VASP package (not included here) should also be used. The output files are OSZICAR (summarizes energy at each iteration) and OUTCAR (full ouput).",mds,True,findable,0,0,0,0,0,2022-08-18T13:54:16.000Z,2022-08-18T13:54:17.000Z,cern.zenodo,cern,"Oxide quasicrystals, 2D ternary oxide, quasicrystal approximant, DFT","[{'subject': 'Oxide quasicrystals, 2D ternary oxide, quasicrystal approximant, DFT'}]",,
+10.17178/amma-catch.ce.sap_odc,"Vegetation dataset (sap flow), within the Donga watershed (600km2), Benin","IRD, CNRS-INSU, OSUG, OMP, OREME",2010,en,Dataset,"Creative Commons Attribution 4.0 International,Data access and use are ruled by the AMMA-CATCH data policy.,For any publication using AMMA-CATCH data, authors are asked to:
Mandatory: cite the reference article and the DOI of the observatory
@@ -3711,8 +3562,13 @@ Mandatory: cite the reference article and the DOI of the observatory
Optional: cite the DOI of each dataset used.
-Co-authorship: depending on the contribution of the data to the scientific results obtained, the authors should either propose co-authorship to the data providers or at least acknowledge their contribution.","Galle, S., Grippa, M., Peugeot, C., Bouzou Moussa, I., Cappelaere, B., Demarty, J., Mougin, E., Panthou, G. et al., 2018. AMMA-CATCH a Critical Zone Observatory in West Africa Monitoring a Region in Transition. Vadose Zone Journal, 17 (1), 180062, DOI : http://dx.doi.org/10.2136/vzj2018.04.0067",mds,True,findable,0,0,1,0,0,2021-11-15T12:53:59.000Z,2021-11-15T12:54:00.000Z,inist.osug,jbru,"Sahelian climate,Precipitation,Meteo,Flux,Ground water,Soils,Soil chemistry","[{'subject': 'Sahelian climate', 'subjectScheme': 'main'}, {'subject': 'Precipitation', 'subjectScheme': 'var'}, {'subject': 'Meteo', 'subjectScheme': 'var'}, {'subject': 'Flux', 'subjectScheme': 'var'}, {'subject': 'Ground water', 'subjectScheme': 'var'}, {'subject': 'Soils', 'subjectScheme': 'var'}, {'subject': 'Soil chemistry', 'subjectScheme': 'var'}]",,"['CSV', 'NETCDF', 'O&M 1.0']"
-10.17178/amma-catch.niger,"AMMA-CATCH observatory: Niamey square degree mesoscale site (16 000 km2) in the cultivated Sahelian zone, Niger","IRD, CNRS-INSU, OSUG, OMP, OREME",1990,en,Dataset,"Creative Commons Attribution 4.0 International,Data access and use are ruled by the AMMA-CATCH data policy.,For any publication using AMMA-CATCH data, authors are asked to:
+Co-authorship: depending on the contribution of the data to the scientific results obtained, the authors should either propose co-authorship to the data providers or at least acknowledge their contribution.","1) Provide a estimation of woody strata transpiration in two representative un-cultivated covers of the Donga watershed, 2) analyse the biological and physical factors driving tree transpiration, 3) assess the contribution of tree transpiration to the water cycle compartments (actual evapotranspiration, ground and soil water).",mds,True,findable,0,0,1,0,0,2018-03-16T15:37:02.000Z,2018-03-16T15:37:03.000Z,inist.osug,jbru,"Sap flow, tree transpiration,Sudanian climate,Sap Flow Density from 10 to 20 mm depth,Sap Flow Density from 0 to 50 mm depth,Sap Flow Density from 5 to 30 mm depth,Sap Flow Density from 30 to 55 mm depth,Sap Flow Density from 60 to 85 mm depth,Sap Flow Density from 90 to 115 mm depth","[{'subject': 'Sap flow, tree transpiration', 'subjectScheme': 'main'}, {'subject': 'Sudanian climate', 'subjectScheme': 'main'}, {'subject': 'Sap Flow Density from 10 to 20 mm depth', 'subjectScheme': 'var'}, {'subject': 'Sap Flow Density from 0 to 50 mm depth', 'subjectScheme': 'var'}, {'subject': 'Sap Flow Density from 5 to 30 mm depth', 'subjectScheme': 'var'}, {'subject': 'Sap Flow Density from 30 to 55 mm depth', 'subjectScheme': 'var'}, {'subject': 'Sap Flow Density from 60 to 85 mm depth', 'subjectScheme': 'var'}, {'subject': 'Sap Flow Density from 90 to 115 mm depth', 'subjectScheme': 'var'}]",,"['CSV', 'NETCDF', 'O&M 1.0']"
+10.13140/rg.2.2.34930.04805,DR-BIP -Programming Dynamic Reconfigurable Systems,Université Grenoble Alpes,2018,en,Text,,,mds,True,findable,0,0,0,0,0,2019-07-06T11:55:03.000Z,2019-07-06T11:55:04.000Z,rg.rg,rg,,,,
+10.5281/zenodo.4883250,"Search Queries for ""Mapping Research Output to the Sustainable Development Goals (SDGs)"" v5.0.2",Zenodo,2020,,Software,"Creative Commons Attribution 4.0 International,Open Access","<strong>This package contains machine readable (xml) search queries, for the Scopus publication database, to find domain specific research output that are related to the 17 Sustainable Development Goals (SDGs).</strong> <strong>[ SDG QUERIES PAGES ] [ PROJECT WEBSITE ] [ FORK ON GITHUB ]</strong> Sustainable Development Goals are the 17 global challenges set by the United Nations. Within each of the goals specific targets and indicators are mentioned to monitor the progress of reaching those goals by 2030. In an effort to capture how research is contributing to move the needle on those challenges, we earlier have made an initial classification model than enables to quickly identify what research output is related to what SDG. (This Aurora SDG dashboard is the initial outcome as <em>proof of practice</em>.) The initiative started from the Aurora Universities Network in 2017, in the working group ""Societal Impact and Relevance of Research"", to investigate and to make visible 1. what research is done that are relevant to topics or challenges that live in society (for the proof of practice this has been scoped down to the SDGs), and 2. what the effect or impact is of implementing those research outcomes to those societal challenges (this also have been scoped down to research output being cited in policy documents from national and local governments an NGO's). The classification model we have used are 17 different search queries on the Scopus database. The search queries are elegant constructions with keyword combinations and boolean operators, in the syntax specific to the Scopus Query Language. We have used Scopus because it covers more research area's that are relevant to the SDG's, and we could filter much easier the Aurora Institutions. <strong>Versions</strong> Different versions of the search queries have been made over the past years to improve the precision (soundness) and recall (completeness) of the results. The queries have been made in a team effort by several bibliometric experts from the Aurora Universities. Each one did two or 3 SDG's, and than reviewed each other's work. v1.0 January 2018<em> Initial 'strict' version.</em> In this version only the terms were used that appear in the SDG policy text of the targets and indicators defined by the UN. At this point we have been aware of the SDSN Compiled list of keywords, and used them as inspiration. Rule of thumb was to use <em>keyword-combination searches</em> as much as possible rather than <em>single-keyword searches</em>, to be more precise rather than to yield large amounts of false positive papers. Also we did not use the inverse or 'NOT' operator, to prevent removing true positives from the result set. This version has not been reviewed by peers. Download from: GitHub / Zenodo v2.0 March 2018<em> Reviewed 'strict' version.</em> Same as version 1, but now reviewed by peers. Download from: GitHub / Zenodo v3.0 May 2019 <em>'echo chamber' version.</em> We noticed that using strictly the terms that policy makers of the UN use in the targets and indicators, that much of the research that did not use that specific terms was left out in the result set. (eg. ""mortality"" vs ""deaths"") To increase the recall, without reducing precision of the papers in the results, we added keywords that were obvious synonyms and antonyms to the existing 'strict' keywords. This was done based on the keywords that appeared in papers in the result set of version 2. This creates an 'echo chamber', that results in more of the same papers. Download from: GitHub / Zenodo v4.0 August 2019<em> uniform 'split' version.</em> Over the course of the years, the UN changed and added Targets and indicators. In order to keep track of if we missed a target, we have split the queries to match the targets within the goals. This gives much more control in maintenance of the queries. Also in this version the use of brackets, quotation marks, etc. has been made uniform, so it also works with API's, and not only with GUI's. His version has been used to evaluate using a survey, to get baseline measurements for the precision and recall. Published here: Survey data of ""Mapping Research output to the SDGs"" by Aurora Universities Network (AUR) doi:10.5281/zenodo.3798385. Download from: GitHub / Zenodo v5.0 June 2020 <em>'improved' version.</em> In order to better reflect academic representation of research output that relate to the SDG's, we have added more keyword combinations to the queries to increase the recall, to yield more research papers related to the SDG's, using academic terminology. We mainly used the input from the Survey data of ""Mapping Research output to the SDGs"" by Aurora Universities Network (AUR) doi:10.5281/zenodo.3798385. We ran several text analyses: Frequent term combination in title and abstracts from Suggested papers, and in selected (accepted) papers, suggested journals, etc.found in this data set Spielberg, Eike, & Hasse, Linda. (2020). Text Analyses of Survey Data on ""Mapping Research Output to the Sustainable Development Goals (SDGs)"" (Version 1.0) [Data set]. Zenodo http://doi.org/10.5281/zenodo.3832090 . Secondly we got inspiration out of the Elsevier SDG queries Jayabalasingham, Bamini; Boverhof, Roy; Agnew, Kevin; Klein, Lisette (2019), “Identifying research supporting the United Nations Sustainable Development Goalsâ€, Mendeley Data, v1 https://dx.doi.org/10.17632/87txkw7khs.1. And thirdly we got inspiration from this controlled vocabulary containing closely related terms. Duran-Silva, Nicolau, Fuster, Enric, Massucci, Francesco Alessandro, & Quinquillà , Arnau. (2019). <em>A controlled vocabulary defining the semantic perimeter of Sustainable Development Goals</em> (Version 1.2) [Data set]. Zenodo. doi.org/10.5281/zenodo.3567769 Download from: GitHub / Zenodo <strong>Contribute and improve the SDG Search Queries</strong> We welcome you to join the Github community and to fork, improve and make a pull request to add your improvements to the new version of the SDG queries. <strong>https://aurora-network-global.github.io/sdg-queries/</strong>",mds,True,findable,0,0,2,5,0,2021-05-31T13:11:12.000Z,2021-05-31T13:11:13.000Z,cern.zenodo,cern,"Sustainable Development Goals,SDG,Classification model,Search Queries,SCOPUS,Text indexing,Controlled vocabulary,http://metadata.un.org/sdg/","[{'subject': 'Sustainable Development Goals'}, {'subject': 'SDG'}, {'subject': 'Classification model'}, {'subject': 'Search Queries'}, {'subject': 'SCOPUS'}, {'subject': 'Text indexing'}, {'subject': 'Controlled vocabulary'}, {'subject': 'http://metadata.un.org/sdg/', 'subjectScheme': 'url'}]",,
+10.5281/zenodo.4265431,Ecological effects of stress drive bacterial evolvability under sub-inhibitory antibiotic treatments,Zenodo,2020,,Dataset,"Creative Commons Attribution 4.0 International,Open Access","Code and data for our publication ""Ecological effects of stress drive bacterial evolvability under sub-inhibitory antibiotic treatments""",mds,True,findable,0,0,0,0,0,2022-07-20T11:13:17.000Z,2022-07-20T11:13:18.000Z,cern.zenodo,cern,,,,
+10.17178/emaa_c(18o)_rotation_1175b5dd,"Rotation excitation of C[18O] by CO, ortho-H2, ortho-H2O, para-H2 and para-H2O collisions","UGA, CNRS, CNRS-INSU, OSUG",2023,en,Dataset,"Please acknowledge the use of EMAA Database by citing the original articles in which the data were published (BibTeX format available), and adding the following sentence in your publication:
+This research has made use of spectroscopic and collisional data from the EMAA database (https://emaa.osug.fr). EMAA is supported by the Observatoire des Sciences de l'Univers de Grenoble (OSUG),Creative Commons Attribution 4.0 International,Data access and use are ruled by the EMAA data policy.",11 rotation energy levels / 10 radiative transitions / 55 collisional transitions for para-H2O (20 temperatures in the range 5-100K) / 55 collisional transitions for ortho-H2O (20 temperatures in the range 5-100K) / 91 collisional transitions for para-H2 (11 temperatures in the range 5-400K) / 91 collisional transitions for ortho-H2 (11 temperatures in the range 5-400K) / 55 collisional transitions for CO (15 temperatures in the range 10-150K),mds,True,findable,0,0,0,0,0,2023-12-07T15:50:38.000Z,2023-12-07T15:50:38.000Z,inist.osug,jbru,"target C[18O],excitationType Rotation,collisional excitation,collider.0 para-H2O,collider.1 ortho-H2O,collider.2 para-H2,collider.3 ortho-H2,collider.4 CO,astrophysics,interstellar medium,comets,circumstellar medium,gas,microwave spectroscopy,infrared spectroscopy,rotational excitation,rovibrational excitation,vibrational excitation,electronic excitation,collisional rate coefficients,fine structure,hyperfine structure","[{'subject': 'target C[18O]', 'subjectScheme': 'main'}, {'subject': 'excitationType Rotation', 'subjectScheme': 'main'}, {'subject': 'collisional excitation', 'subjectScheme': 'main'}, {'subject': 'collider.0 para-H2O', 'subjectScheme': 'var'}, {'subject': 'collider.1 ortho-H2O', 'subjectScheme': 'var'}, {'subject': 'collider.2 para-H2', 'subjectScheme': 'var'}, {'subject': 'collider.3 ortho-H2', 'subjectScheme': 'var'}, {'subject': 'collider.4 CO', 'subjectScheme': 'var'}, {'subject': 'astrophysics', 'subjectScheme': 'var'}, {'subject': 'interstellar medium', 'subjectScheme': 'var'}, {'subject': 'comets', 'subjectScheme': 'var'}, {'subject': 'circumstellar medium', 'subjectScheme': 'var'}, {'subject': 'gas', 'subjectScheme': 'var'}, {'subject': 'microwave spectroscopy', 'subjectScheme': 'var'}, {'subject': 'infrared spectroscopy', 'subjectScheme': 'var'}, {'subject': 'rotational excitation', 'subjectScheme': 'var'}, {'subject': 'rovibrational excitation', 'subjectScheme': 'var'}, {'subject': 'vibrational excitation', 'subjectScheme': 'var'}, {'subject': 'electronic excitation', 'subjectScheme': 'var'}, {'subject': 'collisional rate coefficients', 'subjectScheme': 'var'}, {'subject': 'fine structure', 'subjectScheme': 'var'}, {'subject': 'hyperfine structure', 'subjectScheme': 'var'}]",,['Radex']
+10.17178/amma-catch.ce.sw_gha,"Soil dataset (soil moisture profiles), within the Agoufou watershed (250 km2), Mali","IRD, CNRS-INSU, OSUG, OMP, OREME",2007,en,Dataset,"Creative Commons Attribution 4.0 International,Data access and use are ruled by the AMMA-CATCH data policy.,For any publication using AMMA-CATCH data, authors are asked to:
Mandatory: cite the reference article and the DOI of the observatory
@@ -3721,16 +3577,11 @@ Mandatory: cite the reference article and the DOI of the observatory
Optional: cite the DOI of each dataset used.
-Co-authorship: depending on the contribution of the data to the scientific results obtained, the authors should either propose co-authorship to the data providers or at least acknowledge their contribution.","The Niger mesoscale observation site is geographically central among the three such sites of the AMMA-CATCH regional observatory. Located 13-14°N and 2-3°E in SW Niger, it samples the cultivated Sahelian environment, on both sides of the Niger River albeit predominantly to its north-east, and includes the city of Niamey. The climate is semiarid, with ~300-700 mm/year of rainfall concentrated in a short monsoon season (July-September essentially). Landuse is a patchwork of millet fields, fallow bush plots, tiger bush, and bare land. Meteorological, hydrological, and ecological observations have been carried out for several decades at this site, starting with the EPSAT-Niger, HAPEX-Sahel, SEBEX programs in the 80-90's. Most instruments were made perennial since the launch of the AMMA international experiment in 2005.",mds,True,findable,0,0,1,0,0,2018-03-16T15:37:19.000Z,2018-03-16T15:37:20.000Z,inist.osug,jbru,"Sahelian climate,Precipitation,Surface water,Meteo,Flux,Radiation,Vegetation,Ground water,Soils,Water quality / Water chemistry","[{'subject': 'Sahelian climate', 'subjectScheme': 'main'}, {'subject': 'Precipitation', 'subjectScheme': 'var'}, {'subject': 'Surface water', 'subjectScheme': 'var'}, {'subject': 'Meteo', 'subjectScheme': 'var'}, {'subject': 'Flux', 'subjectScheme': 'var'}, {'subject': 'Radiation', 'subjectScheme': 'var'}, {'subject': 'Vegetation', 'subjectScheme': 'var'}, {'subject': 'Ground water', 'subjectScheme': 'var'}, {'subject': 'Soils', 'subjectScheme': 'var'}, {'subject': 'Water quality / Water chemistry', 'subjectScheme': 'var'}]",,"['CSV', 'NETCDF', 'O&M 1.0']"
-10.17178/ohmcv.all,OHMCV: Cevennesâ€Vivarais Mediterranean Hydrometeorological Observatory,CNRS - OSUG - OREME,2000,en,Dataset,"Data access and use are ruled by the OHMCV data policy.,The following acknowledging sentence should appear in publications using OHMCV data and products: ""OHMCV is funded by the Institut National des Sciences de l’Univers (INSU/CNRS) and the Observatoire des Sciences de l’Univers de Grenoble (OSUG / Université Grenoble Alpes)â€.","The Cévennes-Vivarais Mediterranean Hydro-Meteorological Observatory (OHMCV) is an observation service dedicated to thunderstorms generating intense rains and flash floods in the medium mountainous Mediterranean region. For this purpose, OHMCV develops three observation strategies: (1) detailed, longâ€lasting, and modern hydrometeorological observation over part of the region of interest, the Cévennesâ€Vivarais region, for the purpose of process studies and the improvement and assessment of coupled hydrometeorological predictive models; (2) multidisciplinary postflood investigations following the most extreme events wherever they occur in the Mediterranean region to document and analyze the physical processes and societal factors involved; and (3) use of historical information available on past floods to better characterize the frequency of extreme hydrometeorological events and possible trends in a changing climate. OHMCV participates to the international HyMeX program. It is a member of the Network of Drainage Basins (RBV) and OZCAR Infrastructure.",mds,True,findable,0,0,1,0,0,2017-03-08T17:13:35.000Z,2017-03-08T17:13:36.000Z,inist.osug,jbru,"Mediterranean climate,Precipitation,Surface water,Meteorology,Societal observation,Hydrology,Ground water,Soils,Water quality / Water chemistry","[{'subject': 'Mediterranean climate', 'subjectScheme': 'main'}, {'subject': 'Precipitation', 'subjectScheme': 'var'}, {'subject': 'Surface water', 'subjectScheme': 'var'}, {'subject': 'Meteorology', 'subjectScheme': 'var'}, {'subject': 'Societal observation', 'subjectScheme': 'var'}, {'subject': 'Hydrology', 'subjectScheme': 'var'}, {'subject': 'Ground water', 'subjectScheme': 'var'}, {'subject': 'Soils', 'subjectScheme': 'var'}, {'subject': 'Water quality / Water chemistry', 'subjectScheme': 'var'}]",,"['CSV', 'NETCDF', 'ESRI Grid']"
-10.17178/emaa_meta-nd3_rotation_4181d476,Rotation excitation of meta-ND3 by para-H2 collisions,"UGA, CNRS, CNRS-INSU, OSUG",2021,en,Dataset,"Please acknowledge the use of EMAA Database by citing the original articles in which the data were published (BibTeX format available), and adding the following sentence in your publication:
-This research has made use of spectroscopic and collisional data from the EMAA database (https://emaa.osug.fr). EMAA is supported by the Observatoire des Sciences de l'Univers de Grenoble (OSUG),Creative Commons Attribution 4.0 International,Data access and use are ruled by the EMAA data policy.",9 rotation energy levels / 8 radiative transitions / 36 collisional transitions for para-H2 (8 temperatures in the range 5-40K),mds,True,findable,0,0,0,0,0,2021-11-17T14:01:15.000Z,2021-11-17T14:01:17.000Z,inist.osug,jbru,"target meta-ND3,excitationType Rotation,collisional excitation,collider.0 para-H2,astrophysics,interstellar medium,comets,circumstellar medium,gas,microwave spectroscopy,infrared spectroscopy,rotational excitation,rovibrational excitation,vibrational excitation,electronic excitation,collisional rate coefficients,fine structure,hyperfine structure","[{'subject': 'target meta-ND3', 'subjectScheme': 'main'}, {'subject': 'excitationType Rotation', 'subjectScheme': 'main'}, {'subject': 'collisional excitation', 'subjectScheme': 'main'}, {'subject': 'collider.0 para-H2', 'subjectScheme': 'var'}, {'subject': 'astrophysics', 'subjectScheme': 'var'}, {'subject': 'interstellar medium', 'subjectScheme': 'var'}, {'subject': 'comets', 'subjectScheme': 'var'}, {'subject': 'circumstellar medium', 'subjectScheme': 'var'}, {'subject': 'gas', 'subjectScheme': 'var'}, {'subject': 'microwave spectroscopy', 'subjectScheme': 'var'}, {'subject': 'infrared spectroscopy', 'subjectScheme': 'var'}, {'subject': 'rotational excitation', 'subjectScheme': 'var'}, {'subject': 'rovibrational excitation', 'subjectScheme': 'var'}, {'subject': 'vibrational excitation', 'subjectScheme': 'var'}, {'subject': 'electronic excitation', 'subjectScheme': 'var'}, {'subject': 'collisional rate coefficients', 'subjectScheme': 'var'}, {'subject': 'fine structure', 'subjectScheme': 'var'}, {'subject': 'hyperfine structure', 'subjectScheme': 'var'}]",,['Radex']
-10.17178/emaa_para-h2c(18o)_rotation_8f130c2d,Rotation excitation of para-H2C[18O] by ortho-H2 and para-H2 collisions,"UGA, CNRS, CNRS-INSU, OSUG",2022,en,Dataset,"Please acknowledge the use of EMAA Database by citing the original articles in which the data were published (BibTeX format available), and adding the following sentence in your publication:
-This research has made use of spectroscopic and collisional data from the EMAA database (https://emaa.osug.fr). EMAA is supported by the Observatoire des Sciences de l'Univers de Grenoble (OSUG),Creative Commons Attribution 4.0 International,Data access and use are ruled by the EMAA data policy.",27 rotation energy levels / 56 radiative transitions / 351 collisional transitions for ortho-H2 (21 temperatures in the range 10-300K) / 351 collisional transitions for para-H2 (21 temperatures in the range 10-300K),mds,True,findable,0,0,0,0,0,2022-06-08T11:35:19.000Z,2022-06-08T11:35:20.000Z,inist.osug,jbru,"target para-H2C[18O],excitationType Rotation,collisional excitation,collider.0 ortho-H2,collider.1 para-H2,astrophysics,interstellar medium,comets,circumstellar medium,gas,microwave spectroscopy,infrared spectroscopy,rotational excitation,rovibrational excitation,vibrational excitation,electronic excitation,collisional rate coefficients,fine structure,hyperfine structure","[{'subject': 'target para-H2C[18O]', 'subjectScheme': 'main'}, {'subject': 'excitationType Rotation', 'subjectScheme': 'main'}, {'subject': 'collisional excitation', 'subjectScheme': 'main'}, {'subject': 'collider.0 ortho-H2', 'subjectScheme': 'var'}, {'subject': 'collider.1 para-H2', 'subjectScheme': 'var'}, {'subject': 'astrophysics', 'subjectScheme': 'var'}, {'subject': 'interstellar medium', 'subjectScheme': 'var'}, {'subject': 'comets', 'subjectScheme': 'var'}, {'subject': 'circumstellar medium', 'subjectScheme': 'var'}, {'subject': 'gas', 'subjectScheme': 'var'}, {'subject': 'microwave spectroscopy', 'subjectScheme': 'var'}, {'subject': 'infrared spectroscopy', 'subjectScheme': 'var'}, {'subject': 'rotational excitation', 'subjectScheme': 'var'}, {'subject': 'rovibrational excitation', 'subjectScheme': 'var'}, {'subject': 'vibrational excitation', 'subjectScheme': 'var'}, {'subject': 'electronic excitation', 'subjectScheme': 'var'}, {'subject': 'collisional rate coefficients', 'subjectScheme': 'var'}, {'subject': 'fine structure', 'subjectScheme': 'var'}, {'subject': 'hyperfine structure', 'subjectScheme': 'var'}]",,['Radex']
-10.17178/ohmcv.dsd.pvi.11-14.1,"DSD network, Pradel-Vignes",CNRS - OSUG - OREME,2009,en,Dataset,"Data access and use are ruled by the OHMCV data policy.,The following acknowledging sentence should appear in publications using OHMCV data and products: ""OHMCV is funded by the Institut National des Sciences de l’Univers (INSU/CNRS) and the Observatoire des Sciences de l’Univers de Grenoble (OSUG / Université Grenoble Alpes)â€.",This dataset is part of the Cevennesâ€Vivarais Mediterranean Hydrometeorological Observatory (OHMCV),mds,True,findable,0,0,1,1,0,2017-03-10T17:09:20.000Z,2017-03-10T17:09:21.000Z,inist.osug,jbru,"Atmospheric conditions,Precipitation Rate,Droplet Size,DISDROMETERS,Ground networks,Hydrometeorological sites,Fixed Observation Stations","[{'subject': 'Atmospheric conditions', 'subjectScheme': 'main'}, {'subject': 'Precipitation Rate', 'subjectScheme': 'main'}, {'subject': 'Droplet Size', 'subjectScheme': 'main'}, {'subject': 'DISDROMETERS', 'subjectScheme': 'main'}, {'subject': 'Ground networks', 'subjectScheme': 'main'}, {'subject': 'Hydrometeorological sites', 'subjectScheme': 'main'}, {'subject': 'Fixed Observation Stations', 'subjectScheme': 'main'}]",,['NETCDF']
-10.17178/emaa_(13c)(17o)_hyperfine_164ecb70,Hyperfine excitation of [13C][17O] by ortho-H2 and para-H2 collisions,"UGA, CNRS, CNRS-INSU, OSUG",2023,en,Dataset,"Please acknowledge the use of EMAA Database by citing the original articles in which the data were published (BibTeX format available), and adding the following sentence in your publication:
-This research has made use of spectroscopic and collisional data from the EMAA database (https://emaa.osug.fr). EMAA is supported by the Observatoire des Sciences de l'Univers de Grenoble (OSUG),Creative Commons Attribution 4.0 International,Data access and use are ruled by the EMAA data policy.",75 hyperfine energy levels / 176 radiative transitions / 2775 collisional transitions for para-H2 (11 temperatures in the range 5-400K) / 2775 collisional transitions for ortho-H2 (11 temperatures in the range 5-400K),mds,True,findable,0,0,0,0,0,2023-12-07T15:50:19.000Z,2023-12-07T15:50:20.000Z,inist.osug,jbru,"target [13C][17O],excitationType Hyperfine,collisional excitation,collider.0 para-H2,collider.1 ortho-H2,astrophysics,interstellar medium,comets,circumstellar medium,gas,microwave spectroscopy,infrared spectroscopy,rotational excitation,rovibrational excitation,vibrational excitation,electronic excitation,collisional rate coefficients,fine structure,hyperfine structure","[{'subject': 'target [13C][17O]', 'subjectScheme': 'main'}, {'subject': 'excitationType Hyperfine', 'subjectScheme': 'main'}, {'subject': 'collisional excitation', 'subjectScheme': 'main'}, {'subject': 'collider.0 para-H2', 'subjectScheme': 'var'}, {'subject': 'collider.1 ortho-H2', 'subjectScheme': 'var'}, {'subject': 'astrophysics', 'subjectScheme': 'var'}, {'subject': 'interstellar medium', 'subjectScheme': 'var'}, {'subject': 'comets', 'subjectScheme': 'var'}, {'subject': 'circumstellar medium', 'subjectScheme': 'var'}, {'subject': 'gas', 'subjectScheme': 'var'}, {'subject': 'microwave spectroscopy', 'subjectScheme': 'var'}, {'subject': 'infrared spectroscopy', 'subjectScheme': 'var'}, {'subject': 'rotational excitation', 'subjectScheme': 'var'}, {'subject': 'rovibrational excitation', 'subjectScheme': 'var'}, {'subject': 'vibrational excitation', 'subjectScheme': 'var'}, {'subject': 'electronic excitation', 'subjectScheme': 'var'}, {'subject': 'collisional rate coefficients', 'subjectScheme': 'var'}, {'subject': 'fine structure', 'subjectScheme': 'var'}, {'subject': 'hyperfine structure', 'subjectScheme': 'var'}]",,['Radex']
-10.17178/amma-catch.ce.wchem_od,"Water chemistry dataset (geochemical composition of water), within the Donga watershed (600 km2), Benin","IRD, CNRS-INSU, OSUG, OMP, OREME",2002,en,Dataset,"Creative Commons Attribution 4.0 International,Data access and use are ruled by the AMMA-CATCH data policy.,For any publication using AMMA-CATCH data, authors are asked to:
+Co-authorship: depending on the contribution of the data to the scientific results obtained, the authors should either propose co-authorship to the data providers or at least acknowledge their contribution.",Quantification of water redistribution along hillslopes within an endoreic sand dune system at the Agoufou local site.,mds,True,findable,0,0,1,0,0,2018-03-16T15:37:04.000Z,2018-03-16T15:37:04.000Z,inist.osug,jbru,"Water redistribution, soil humidity profile,Sahelian/Saharan climate,Soil Moisture/Water Content at depth 30 cm,Soil Moisture/Water Content at depth 1 m,Soil Moisture/Water Content integrated from 0 to -6 cm,Soil Moisture/Water Content at depth 40 cm,Soil Moisture/Water Content at depth 20 cm,Soil Moisture/Water Content at depth 10 cm,Soil Moisture/Water Content at depth 60 cm","[{'subject': 'Water redistribution, soil humidity profile', 'subjectScheme': 'main'}, {'subject': 'Sahelian/Saharan climate', 'subjectScheme': 'main'}, {'subject': 'Soil Moisture/Water Content at depth 30 cm', 'subjectScheme': 'var'}, {'subject': 'Soil Moisture/Water Content at depth 1 m', 'subjectScheme': 'var'}, {'subject': 'Soil Moisture/Water Content integrated from 0 to -6 cm', 'subjectScheme': 'var'}, {'subject': 'Soil Moisture/Water Content at depth 40 cm', 'subjectScheme': 'var'}, {'subject': 'Soil Moisture/Water Content at depth 20 cm', 'subjectScheme': 'var'}, {'subject': 'Soil Moisture/Water Content at depth 10 cm', 'subjectScheme': 'var'}, {'subject': 'Soil Moisture/Water Content at depth 60 cm', 'subjectScheme': 'var'}]",,"['CSV', 'NETCDF', 'O&M 1.0']"
+10.5281/zenodo.7057257,Companion data of Multi-Phase Task-Based HPC Applications: Quickly Learning how to Run Fast,Zenodo,2022,en,Dataset,"Creative Commons Attribution 4.0 International,Open Access","This is the companion data repository for the paper entitled <strong>Multi-Phase Task-Based HPC Applications: Quickly Learning how to Run Fast</strong> by Lucas Leandro Nesi, Lucas Mello Schnorr, and Arnaud Legrand. The manuscript has been accepted for publication in the IPDPS 2022.",mds,True,findable,0,0,0,0,0,2022-09-07T12:02:35.000Z,2022-09-07T12:02:36.000Z,cern.zenodo,cern,,,,
+10.5281/zenodo.5084367,"Data and code used in ""Satellite magnetic data reveal interannual waves in Earth's core""",Zenodo,2022,,Dataset,"Creative Commons Attribution 4.0 International,Open Access","Eigen mode solutions and code to obtain them for the results presented in Satellite magnetic data reveal interannual waves in Earth's core. The package uses the freely available code Mire.jl. <strong>Prerequisites</strong> Installed python3 with matplotlib ≥v2.1, cmocean and cartopy. A working Julia ≥v1.7. <strong>Run</strong> In the project folder run <pre><code>julia --project=.</code></pre> <br> Then, from within the Julia REPL run <pre><code>]instantiate</code></pre> at first time, to install all dependencies. After that, to compute all plots, run <pre><code>using QGMCSat allfigs()</code></pre> They're automatically saved in the ""figs"" subfolder of the repository. If loading QGMCSat fails, due to a missing cartopy or cmocean in the python version. Run (within Julia)<br> <pre><code>ENV[""PYTHON""] = ""python"" #this should point to the python version that has cartopy installed ]build PyCall</code></pre> <br> To calculate all data, run <pre><code>using QGMCSat calculate_data()</code></pre> This will take several hours/days depending on the machine (needs enough memory). Individual data can be accessed directly through the .jld2 files from Julia. You can check out the individual figure functions to get an idea where which data is stored. If there are any issues or questions, please don't hesitate to get in touch!",mds,True,findable,0,0,0,1,0,2022-02-28T19:22:58.000Z,2022-02-28T19:23:00.000Z,cern.zenodo,cern,,,,
+10.6084/m9.figshare.c.6592858.v1,Critically ill severe hypothyroidism: a retrospective multicenter cohort study,figshare,2023,,Collection,Creative Commons Attribution 4.0 International,"Abstract Background Severe hypothyroidism (SH) is a rare but life-threatening endocrine emergency. Only a few data are available on its management and outcomes of the most severe forms requiring ICU admission. We aimed to describe the clinical manifestations, management, and in-ICU and 6-month survival rates of these patients. Methods We conducted a retrospective, multicenter study over 18 years in 32 French ICUs. The local medical records of patients from each participating ICU were screened using the International Classification of Disease 10th revision. Inclusion criteria were the presence of biological hypothyroidism associated with at least one cardinal sign among alteration of consciousness, hypothermia and circulatory failure, and at least one SH-related organ failure. Results Eighty-two patients were included in the study. Thyroiditis and thyroidectomy represented the main SH etiologies (29% and 19%, respectively), while hypothyroidism was unknown in 44 patients (54%) before ICU admission. The most frequent SH triggers were levothyroxine discontinuation (28%), sepsis (15%), and amiodarone-related hypothyroidism (11%). Clinical presentations included hypothermia (66%), hemodynamic failure (57%), and coma (52%). In-ICU and 6-month mortality rates were 26% and 39%, respectively. Multivariable analyses retained age > 70 years [odds ratio OR 6.01 (1.75–24.1)] Sequential Organ-Failure Assessment score cardiovascular component ≥ 2 [OR 11.1 (2.47–84.2)] and ventilation component ≥ 2 [OR 4.52 (1.27–18.6)] as being independently associated with in-ICU mortality. Conclusions SH is a rare life-threatening emergency with various clinical presentations. Hemodynamic and respiratory failures are strongly associated with worse outcomes. The very high mortality prompts early diagnosis and rapid levothyroxine administration with close cardiac and hemodynamic monitoring.",mds,True,findable,0,0,0,0,0,2023-04-13T14:55:40.000Z,2023-04-13T14:55:41.000Z,figshare.ars,otjm,"Medicine,Neuroscience,Pharmacology,Immunology,FOS: Clinical medicine,Cancer","[{'subject': 'Medicine'}, {'subject': 'Neuroscience'}, {'subject': 'Pharmacology'}, {'subject': 'Immunology'}, {'subject': 'FOS: Clinical medicine', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Cancer'}]",,
+10.17178/amma-catch.ce.raind_nct,"Precipitation dataset (daily rainfall), over the Tondikiboro and Mele Haoussa watersheds (< 35 ha), Niger","IRD, CNRS-INSU, OSUG, OMP, OREME",2006,en,Dataset,"Creative Commons Attribution 4.0 International,Data access and use are ruled by the AMMA-CATCH data policy.,For any publication using AMMA-CATCH data, authors are asked to:
Mandatory: cite the reference article and the DOI of the observatory
@@ -3739,8 +3590,13 @@ Mandatory: cite the reference article and the DOI of the observatory
Optional: cite the DOI of each dataset used.
-Co-authorship: depending on the contribution of the data to the scientific results obtained, the authors should either propose co-authorship to the data providers or at least acknowledge their contribution.","Identification of the chemical signature of the different compartments (surface runoff, sub-surface, deep water-tables) contributing to river flow. Hydrograph decomposition by mixing models based on chemical signatures of each compartment involved in stream flow production.",mds,True,findable,0,0,2,1,0,2018-03-16T15:37:08.000Z,2018-03-16T15:37:08.000Z,inist.osug,jbru,"Water chemical composition,Sudanian climate,pH,Nickel,Calcium Ion,Silicon,Vanadium,Boron,Magnesium Ion,Water Temperature,Lead,Arsenic,delta Oxygen-18,Conductivity,Uranium,Aluminium,Chloride Ion,Nitrate Ion,Cobalt,Zinc,delta Deuterium,Potassium Ion,Copper,Rubidium,Lithium,Sulfate Ion,Hydrogen Carbonate Ion,Strontium,Oxygen,Caesium,Barium,Chromium,Molybdenum,Manganese,Sodium Ion","[{'subject': 'Water chemical composition', 'subjectScheme': 'main'}, {'subject': 'Sudanian climate', 'subjectScheme': 'main'}, {'subject': 'pH', 'subjectScheme': 'var'}, {'subject': 'Nickel', 'subjectScheme': 'var'}, {'subject': 'Calcium Ion', 'subjectScheme': 'var'}, {'subject': 'Silicon', 'subjectScheme': 'var'}, {'subject': 'Vanadium', 'subjectScheme': 'var'}, {'subject': 'Boron', 'subjectScheme': 'var'}, {'subject': 'Magnesium Ion', 'subjectScheme': 'var'}, {'subject': 'Water Temperature', 'subjectScheme': 'var'}, {'subject': 'Lead', 'subjectScheme': 'var'}, {'subject': 'Arsenic', 'subjectScheme': 'var'}, {'subject': 'delta Oxygen-18', 'subjectScheme': 'var'}, {'subject': 'Conductivity', 'subjectScheme': 'var'}, {'subject': 'Uranium', 'subjectScheme': 'var'}, {'subject': 'Aluminium', 'subjectScheme': 'var'}, {'subject': 'Chloride Ion', 'subjectScheme': 'var'}, {'subject': 'Nitrate Ion', 'subjectScheme': 'var'}, {'subject': 'Cobalt', 'subjectScheme': 'var'}, {'subject': 'Zinc', 'subjectScheme': 'var'}, {'subject': 'delta Deuterium', 'subjectScheme': 'var'}, {'subject': 'Potassium Ion', 'subjectScheme': 'var'}, {'subject': 'Copper', 'subjectScheme': 'var'}, {'subject': 'Rubidium', 'subjectScheme': 'var'}, {'subject': 'Lithium', 'subjectScheme': 'var'}, {'subject': 'Sulfate Ion', 'subjectScheme': 'var'}, {'subject': 'Hydrogen Carbonate Ion', 'subjectScheme': 'var'}, {'subject': 'Strontium', 'subjectScheme': 'var'}, {'subject': 'Oxygen', 'subjectScheme': 'var'}, {'subject': 'Caesium', 'subjectScheme': 'var'}, {'subject': 'Barium', 'subjectScheme': 'var'}, {'subject': 'Chromium', 'subjectScheme': 'var'}, {'subject': 'Molybdenum', 'subjectScheme': 'var'}, {'subject': 'Manganese', 'subjectScheme': 'var'}, {'subject': 'Sodium Ion', 'subjectScheme': 'var'}]",,"['CSV', 'NETCDF', 'O&M 1.0']"
-10.17178/amma-catch.ce.sap_odc,"Vegetation dataset (sap flow), within the Donga watershed (600km2), Benin","IRD, CNRS-INSU, OSUG, OMP, OREME",2010,en,Dataset,"Creative Commons Attribution 4.0 International,Data access and use are ruled by the AMMA-CATCH data policy.,For any publication using AMMA-CATCH data, authors are asked to:
+Co-authorship: depending on the contribution of the data to the scientific results obtained, the authors should either propose co-authorship to the data providers or at least acknowledge their contribution.",Documentation of daily rainfall in the Sahel. The aim is to characterize the temporal and spatial variability within the Tondikiboro and Mele Haoussa local sites. Data will be used in modelling the local rainfall/runoff relationship (see CE.Run_Nct) as well as to complete the automatic raingauge network.,mds,True,findable,0,0,1,0,0,2018-03-16T15:36:58.000Z,2018-03-16T15:36:59.000Z,inist.osug,jbru,"Daily rainfall, precipitation, tropical convection,Sahelian climate,Precipitation Amount","[{'subject': 'Daily rainfall, precipitation, tropical convection', 'subjectScheme': 'main'}, {'subject': 'Sahelian climate', 'subjectScheme': 'main'}, {'subject': 'Precipitation Amount', 'subjectScheme': 'var'}]",,"['CSV', 'NETCDF', 'O&M 1.0']"
+10.17178/emaa_co_rotation_3d0e1a5c,"Rotation excitation of CO by CO, ortho-H2, ortho-H2O, para-H2 and para-H2O collisions","UGA, CNRS, CNRS-INSU, OSUG",2023,en,Dataset,"Please acknowledge the use of EMAA Database by citing the original articles in which the data were published (BibTeX format available), and adding the following sentence in your publication:
+This research has made use of spectroscopic and collisional data from the EMAA database (https://emaa.osug.fr). EMAA is supported by the Observatoire des Sciences de l'Univers de Grenoble (OSUG),Creative Commons Attribution 4.0 International,Data access and use are ruled by the EMAA data policy.",14 rotation energy levels / 13 radiative transitions / 55 collisional transitions for para-H2O (20 temperatures in the range 5-100K) / 55 collisional transitions for ortho-H2O (20 temperatures in the range 5-100K) / 91 collisional transitions for para-H2 (11 temperatures in the range 5-400K) / 91 collisional transitions for ortho-H2 (11 temperatures in the range 5-400K) / 55 collisional transitions for CO (15 temperatures in the range 10-150K),mds,True,findable,0,0,0,0,0,2023-12-07T15:50:46.000Z,2023-12-07T15:50:47.000Z,inist.osug,jbru,"target CO,excitationType Rotation,collisional excitation,collider.0 para-H2O,collider.1 ortho-H2O,collider.2 para-H2,collider.3 ortho-H2,collider.4 CO,astrophysics,interstellar medium,comets,circumstellar medium,gas,microwave spectroscopy,infrared spectroscopy,rotational excitation,rovibrational excitation,vibrational excitation,electronic excitation,collisional rate coefficients,fine structure,hyperfine structure","[{'subject': 'target CO', 'subjectScheme': 'main'}, {'subject': 'excitationType Rotation', 'subjectScheme': 'main'}, {'subject': 'collisional excitation', 'subjectScheme': 'main'}, {'subject': 'collider.0 para-H2O', 'subjectScheme': 'var'}, {'subject': 'collider.1 ortho-H2O', 'subjectScheme': 'var'}, {'subject': 'collider.2 para-H2', 'subjectScheme': 'var'}, {'subject': 'collider.3 ortho-H2', 'subjectScheme': 'var'}, {'subject': 'collider.4 CO', 'subjectScheme': 'var'}, {'subject': 'astrophysics', 'subjectScheme': 'var'}, {'subject': 'interstellar medium', 'subjectScheme': 'var'}, {'subject': 'comets', 'subjectScheme': 'var'}, {'subject': 'circumstellar medium', 'subjectScheme': 'var'}, {'subject': 'gas', 'subjectScheme': 'var'}, {'subject': 'microwave spectroscopy', 'subjectScheme': 'var'}, {'subject': 'infrared spectroscopy', 'subjectScheme': 'var'}, {'subject': 'rotational excitation', 'subjectScheme': 'var'}, {'subject': 'rovibrational excitation', 'subjectScheme': 'var'}, {'subject': 'vibrational excitation', 'subjectScheme': 'var'}, {'subject': 'electronic excitation', 'subjectScheme': 'var'}, {'subject': 'collisional rate coefficients', 'subjectScheme': 'var'}, {'subject': 'fine structure', 'subjectScheme': 'var'}, {'subject': 'hyperfine structure', 'subjectScheme': 'var'}]",,['Radex']
+10.48537/hal-03220371,"Sensitive Topologies Configurations in the Milieu and the Urban Landscape, What You Feel Is What You Get",Reseau International Ambiances,2020,en,Text,Creative Commons Attribution Non Commercial No Derivatives 2.0 Generic,"Usually, in questions relating to the landscape, especially the urban one, three sensitive modalities are mobilised in the configurations specific to particular lived situations: the visible, the audible and the tangible. The tangible one is often assumed to be intrinsically linked to the visible modality by visuo-haptic coupling. However, on the basis of the study of concrete cases, and through the paradigm of sensitive topology, we have been given to note that the visible and the tangible are not always linked. Whether in domestic situations of inhabiting, or in public situations. The paradigm of sensitive topology phenomenologically deconstructs the notions of milieu and urban landscape by facilitating the analysis of lived situations.",mds,True,findable,0,0,0,0,0,2021-06-17T16:46:53.000Z,2021-06-17T16:46:54.000Z,jbru.aau,jbru,"Sensitive Topologies,Visuo-Haptic Coupling,Territoriality,Urban Design","[{'lang': 'eng', 'subject': 'Sensitive Topologies'}, {'lang': 'eng', 'subject': 'Visuo-Haptic Coupling'}, {'lang': 'eng', 'subject': 'Territoriality'}, {'lang': 'eng', 'subject': 'Urban Design'}]",['6 pages'],['application/pdf']
+10.17178/emaa_e-ch3oh_rotation_b00fa82a,"Rotation excitation of E-CH3OH by electron, ortho-H2 and para-H2 collisions","UGA, CNRS, CNRS-INSU, OSUG",2023,en,Dataset,"Please acknowledge the use of EMAA Database by citing the original articles in which the data were published (BibTeX format available), and adding the following sentence in your publication:
+This research has made use of spectroscopic and collisional data from the EMAA database (https://emaa.osug.fr). EMAA is supported by the Observatoire des Sciences de l'Univers de Grenoble (OSUG),Creative Commons Attribution 4.0 International,Data access and use are ruled by the EMAA data policy.",134 rotation energy levels / 1228 radiative transitions / 8845 collisional transitions for para-H2 (20 temperatures in the range 10-200K) / 3828 collisional transitions for ortho-H2 (20 temperatures in the range 10-200K) / 1228 collisional transitions for electron (20 temperatures in the range 10-200K),mds,True,findable,0,0,0,0,0,2023-12-07T15:50:57.000Z,2023-12-07T15:50:58.000Z,inist.osug,jbru,"target E-CH3OH,excitationType Rotation,collisional excitation,collider.0 para-H2,collider.1 ortho-H2,collider.2 electron,astrophysics,interstellar medium,comets,circumstellar medium,gas,microwave spectroscopy,infrared spectroscopy,rotational excitation,rovibrational excitation,vibrational excitation,electronic excitation,collisional rate coefficients,fine structure,hyperfine structure","[{'subject': 'target E-CH3OH', 'subjectScheme': 'main'}, {'subject': 'excitationType Rotation', 'subjectScheme': 'main'}, {'subject': 'collisional excitation', 'subjectScheme': 'main'}, {'subject': 'collider.0 para-H2', 'subjectScheme': 'var'}, {'subject': 'collider.1 ortho-H2', 'subjectScheme': 'var'}, {'subject': 'collider.2 electron', 'subjectScheme': 'var'}, {'subject': 'astrophysics', 'subjectScheme': 'var'}, {'subject': 'interstellar medium', 'subjectScheme': 'var'}, {'subject': 'comets', 'subjectScheme': 'var'}, {'subject': 'circumstellar medium', 'subjectScheme': 'var'}, {'subject': 'gas', 'subjectScheme': 'var'}, {'subject': 'microwave spectroscopy', 'subjectScheme': 'var'}, {'subject': 'infrared spectroscopy', 'subjectScheme': 'var'}, {'subject': 'rotational excitation', 'subjectScheme': 'var'}, {'subject': 'rovibrational excitation', 'subjectScheme': 'var'}, {'subject': 'vibrational excitation', 'subjectScheme': 'var'}, {'subject': 'electronic excitation', 'subjectScheme': 'var'}, {'subject': 'collisional rate coefficients', 'subjectScheme': 'var'}, {'subject': 'fine structure', 'subjectScheme': 'var'}, {'subject': 'hyperfine structure', 'subjectScheme': 'var'}]",,['Radex']
+10.17178/amma-catch.cl.rain_g,"Precipitation dataset (5 minutes rainfall), over the Hombori site (2500 km2 ), Mali","IRD, CNRS-INSU, OSUG, OMP, OREME",2005,en,Dataset,"Creative Commons Attribution 4.0 International,Data access and use are ruled by the AMMA-CATCH data policy.,For any publication using AMMA-CATCH data, authors are asked to:
Mandatory: cite the reference article and the DOI of the observatory
@@ -3749,28 +3605,67 @@ Mandatory: cite the reference article and the DOI of the observatory
Optional: cite the DOI of each dataset used.
-Co-authorship: depending on the contribution of the data to the scientific results obtained, the authors should either propose co-authorship to the data providers or at least acknowledge their contribution.","1) Provide a estimation of woody strata transpiration in two representative un-cultivated covers of the Donga watershed, 2) analyse the biological and physical factors driving tree transpiration, 3) assess the contribution of tree transpiration to the water cycle compartments (actual evapotranspiration, ground and soil water).",mds,True,findable,0,0,1,0,0,2018-03-16T15:37:02.000Z,2018-03-16T15:37:03.000Z,inist.osug,jbru,"Sap flow, tree transpiration,Sudanian climate,Sap Flow Density from 10 to 20 mm depth,Sap Flow Density from 0 to 50 mm depth,Sap Flow Density from 5 to 30 mm depth,Sap Flow Density from 30 to 55 mm depth,Sap Flow Density from 60 to 85 mm depth,Sap Flow Density from 90 to 115 mm depth","[{'subject': 'Sap flow, tree transpiration', 'subjectScheme': 'main'}, {'subject': 'Sudanian climate', 'subjectScheme': 'main'}, {'subject': 'Sap Flow Density from 10 to 20 mm depth', 'subjectScheme': 'var'}, {'subject': 'Sap Flow Density from 0 to 50 mm depth', 'subjectScheme': 'var'}, {'subject': 'Sap Flow Density from 5 to 30 mm depth', 'subjectScheme': 'var'}, {'subject': 'Sap Flow Density from 30 to 55 mm depth', 'subjectScheme': 'var'}, {'subject': 'Sap Flow Density from 60 to 85 mm depth', 'subjectScheme': 'var'}, {'subject': 'Sap Flow Density from 90 to 115 mm depth', 'subjectScheme': 'var'}]",,"['CSV', 'NETCDF', 'O&M 1.0']"
-10.17178/amma-catch.ae.h2oflux_g,"Surface flux dataset (including surface energy, water vapor, and carbon fluxes), at the Agoufou station, Mali","IRD, CNRS-INSU, OSUG, OMP, OREME",2007,en,Dataset,"Creative Commons Attribution 4.0 International,Data access and use are ruled by the AMMA-CATCH data policy.,For any publication using AMMA-CATCH data, authors are asked to:
-
-Mandatory: cite the reference article and the DOI of the observatory
+Co-authorship: depending on the contribution of the data to the scientific results obtained, the authors should either propose co-authorship to the data providers or at least acknowledge their contribution.","Documentation of rainfall in sahelian and saharo-sahelian zones. The aim is to characterize the spatial and temporal variability of rainfall within a densified zone of approximately 0°7 by 0°7 degrees within the Gourma meso-scale site. Data will be used in modelling and assimilation activities, as well as for validation of satellite products.",mds,True,findable,0,0,1,0,0,2018-03-16T15:37:13.000Z,2018-03-16T15:37:13.000Z,inist.osug,jbru,"Rainfall, precipitation, tropical convection,Sahelian/Saharan climate,Precipitation Amount (previous hour),Precipitation Amount (previous 24 hours),Precipitation Amount (previous 5 minutes)","[{'subject': 'Rainfall, precipitation, tropical convection', 'subjectScheme': 'main'}, {'subject': 'Sahelian/Saharan climate', 'subjectScheme': 'main'}, {'subject': 'Precipitation Amount (previous hour)', 'subjectScheme': 'var'}, {'subject': 'Precipitation Amount (previous 24 hours)', 'subjectScheme': 'var'}, {'subject': 'Precipitation Amount (previous 5 minutes)', 'subjectScheme': 'var'}]",,"['CSV', 'NETCDF', 'O&M 1.0']"
+10.48537/10.48537/hal-03220281,"Room for Transition by Aesthetic Empowerment?, Atmospheres and Sensory Experiences of a New Hospital Birth Environment",Reseau International Ambiances,2020,en,Text,Creative Commons Attribution Non Commercial No Derivatives 2.0 Generic,"This paper focuses on how the design, aesthethics and atmosphere of a new hospital birth environment affects the experiences of new fathers. Based on a phenomenological study it shows how atmospheres are experienced in a new birthing room intended to stimulate the senses in a comforting and equanimity-evoking way, and especially how the fathers attuned themselves to the situ- ation of being present at the birth of their new-born infant. Studying fathers’ transition to parenthood through the lens of atmosphere and interrogating the meaning of atmosphere in hospital rooms offers a more nuanced approach to our understanding of the relationship between people, space, time and event in future design of new hospital rooms.",fabricaForm,True,findable,0,0,0,0,0,2021-06-17T21:21:41.000Z,2021-06-17T21:22:03.000Z,jbru.aau,jbru,"Atmosphere,Aesthetics,Hospital Design,Re-Enactment,Sensory Experience","[{'subject': 'Atmosphere'}, {'subject': 'Aesthetics'}, {'subject': 'Hospital Design'}, {'subject': 'Re-Enactment'}, {'subject': 'Sensory Experience'}]",['6 pages'],['application/pdf']
+10.5281/zenodo.7249512,CMB heat flux PCA results,Zenodo,2022,en,Dataset,"Creative Commons Attribution 4.0 International,Open Access",Results of the CMB heat flux PCA from the Coltice et al. (2019) mantle convection model in the numpy (.npy) format. The PCA is computed on the snapshots of the simulations between 300 Myr and 1131 Myr in the simulation time. -avg_pattern.npy: Spherical harmonic decomposition of the CMB heat flux average pattern -patterns.npy: Spherical harmonic decomposition of the PCA components patterns -sing_val.npy: Singular value of the PCA components -weights.npy: Time dependent weights of the PCA components,mds,True,findable,0,0,0,0,0,2022-10-26T07:18:01.000Z,2022-10-26T07:18:02.000Z,cern.zenodo,cern,,,,
+10.17178/cryobsclim.cdp.2018.snowprofile,"Col de Porte, Snow Profile",CNRS - OSUG - Meteo France,2018,en,Dataset,"Data access and use are ruled by the CRYOBS-CLIM data policy.,Always quote below citation to Lejeune et al. (2019) when using data.
+ Lejeune, Y., Dumont, M., Panel J.-M., Lafaysse, M., Lapalus, P., Le Gac, E., Lesaffre, B. and Morin, S., 57 years (1960-2017) of snow and meteorological observations from a mid-altitude mountain site (Col de Porte, France, 1325 m alt.), Earth System Science Data, 11(2019), 71-88, https://doi.org/10.5194/essd-11-71-2019. The following acknowledging sentence should appear in publications using Cryobs-Clim-CDP data and products: ""Cryobs-Clim Col de Porte is funded by Meteo France, the Institut National des Sciences de l’Univers (INSU/CNRS), and the Observatoire des Sciences de l’Univers de Grenoble (OSUG / Université Grenoble Alpes)â€. You are invited to contact the PI(s) or lead scientist for more information about the data and to include the acknowledgement sentence in any publication using the data.","This dataset is part of the Cryobs-Clim-CDP (CRYosphere, an OBServatory of the CLIMate – Col de Porte) observatory",mds,True,findable,0,0,1,0,0,2018-07-19T07:26:37.000Z,2018-07-19T07:27:38.000Z,inist.osug,jbru,snow profile,"[{'subject': 'snow profile', 'subjectScheme': 'main'}]",,['caaml']
+10.18709/perscido.2023.06.ds396,The Proof Of Coverage LoRaWAN frames dataset,PerSCiDO,2023,,Dataset,,The directory contains the log files of frames sent by LoRa gateways to other gateways. The gateways are installed in the Grenoble area. The dataset contains 3418984 messages received between August 2021 and June 2023.,api,True,findable,0,0,0,0,0,2023-06-28T11:23:46.000Z,2023-06-28T11:23:46.000Z,inist.persyval,vcob,"Information Technology,Computer Science","[{'subject': 'Information Technology', 'subjectScheme': 'http://www.radar-projekt.org/display/Information_Technology'}, {'subject': 'Computer Science', 'subjectScheme': 'http://www.radar-projekt.org/display/Computer_Science'}]",['4000 Mo'],['JSON']
+10.17178/gnss.products.deeptrigger.chile,Metadata and daily observation files in RINEX format for DEEP-trigger GNSS stations installed in Chile,"CNRS, OSUG, ISTERRE",2026,en,Dataset,"License: CC BY-NC-ND 4.0,Data access and use are ruled by the OSUG data policy.,The following acknowledging sentence should appear in publications using ISTerre GNSS products: ""GNSS products are calculated and provided by the Institut of Sciences de la Terre (ISTerre), belonging to the Institut National des Sciences de l’Univers (INSU/CNRS) and the Observatoire des Sciences de l’Univers de Grenoble (OSUG / Université Grenoble Alpes)"".
+You are invited to contact the PI(s) or lead scientist for more information about the data and to include the acknowledgement sentence in any publication using the data.","This dataset includes station metadata in GipsyX staDB format, as well as daily observation RINEX files for the 9 GNSS stations installed in Chile in the frame of the DEEP-trigger project.",mds,True,findable,0,0,0,0,0,2023-04-08T13:17:00.000Z,2023-04-08T13:17:02.000Z,inist.osug,jbru,"GNSS products,GNSS data analysis,Time serie positioning","[{'subject': 'GNSS products', 'subjectScheme': 'main'}, {'subject': 'GNSS data analysis', 'subjectScheme': 'var'}, {'subject': 'Time serie positioning', 'subjectScheme': 'var'}]",,"['pos', 'PBO']"
+10.5281/zenodo.4964201,"FIGURES 1–4. Protonemura auberti, male. 1–2. epiproct, lateral view. 3. male terminalia with epiproct, dorsal view. 4 in Two new species of Protonemura Kempny, 1898 (Plecoptera: Nemouridae) from the Italian Alps",Zenodo,2021,,Image,Open Access,"FIGURES 1–4. Protonemura auberti, male. 1–2. epiproct, lateral view. 3. male terminalia with epiproct, dorsal view. 4. male terminalia, dorsal view",mds,True,findable,0,0,7,0,0,2021-06-16T08:24:45.000Z,2021-06-16T08:24:46.000Z,cern.zenodo,cern,"Biodiversity,Taxonomy,Animalia,Arthropoda,Insecta,Plecoptera,Nemouridae,Protonemura","[{'subject': 'Biodiversity'}, {'subject': 'Taxonomy'}, {'subject': 'Animalia'}, {'subject': 'Arthropoda'}, {'subject': 'Insecta'}, {'subject': 'Plecoptera'}, {'subject': 'Nemouridae'}, {'subject': 'Protonemura'}]",,
+10.48537/hal-03220272,"Scaling Sensory Experiences; Across Dance, Occupational Therapy and Urban Design",Reseau International Ambiances,2020,en,Text,Creative Commons Attribution Non Commercial No Derivatives 2.0 Generic,"The disciplines of urban design, occupational therapy and dance share an interest in how sensory experience and human movement impact the way atmospheres are produced. The global pandemic has brought about radical shifts in our sensory experience of the world. Bodily gestures both big and small participate in the creation of unspoken yet acutely felt atmospheres that invoke new modes of attention. The notion of ’scaling sensory experiences’ emphasizes that scale is a non-static continually shifting condition that connects bodies and environments. This research calls for a nuanced understanding of other disciplinary worlds in order to plant the seeds for renewed sensory modes of designing, living and dancing that are much needed as we contemplate our post-pandemic atmosphere.",mds,True,findable,0,0,0,0,0,2021-06-17T09:44:26.000Z,2021-06-17T09:44:27.000Z,jbru.aau,jbru,"Occupational Therapy,Dance,Movement,Sensory,Scaling,Pandemic,Body","[{'lang': 'eng', 'subject': 'Occupational Therapy'}, {'lang': 'eng', 'subject': 'Dance'}, {'lang': 'eng', 'subject': 'Movement'}, {'lang': 'eng', 'subject': 'Sensory'}, {'lang': 'eng', 'subject': 'Scaling'}, {'lang': 'eng', 'subject': 'Pandemic'}, {'lang': 'eng', 'subject': 'Body'}]",['6 pages'],['application/pdf']
+10.17178/emaa_hc3n_rotation_4ac6b479,"Rotation excitation of HC3N by electron, ortho-H2 and para-H2 collisions","UGA, CNRS, CNRS-INSU, OSUG",2021,en,Dataset,"Please acknowledge the use of EMAA Database by citing the original articles in which the data were published (BibTeX format available), and adding the following sentence in your publication:
+This research has made use of spectroscopic and collisional data from the EMAA database (https://emaa.osug.fr). EMAA is supported by the Observatoire des Sciences de l'Univers de Grenoble (OSUG),Creative Commons Attribution 4.0 International,Data access and use are ruled by the EMAA data policy.",38 rotation energy levels / 37 radiative transitions / 564 collisional transitions for para-H2 (20 temperatures in the range 10-300K) / 564 collisional transitions for ortho-H2 (20 temperatures in the range 10-300K) / 37 collisional transitions for electron (5 temperatures in the range 10-1000K),mds,True,findable,0,0,0,0,0,2021-11-17T14:00:59.000Z,2021-11-17T14:01:01.000Z,inist.osug,jbru,"target HC3N,excitationType Rotation,collisional excitation,collider.0 para-H2,collider.1 ortho-H2,collider.2 electron,astrophysics,interstellar medium,comets,circumstellar medium,gas,microwave spectroscopy,infrared spectroscopy,rotational excitation,rovibrational excitation,vibrational excitation,electronic excitation,collisional rate coefficients,fine structure,hyperfine structure","[{'subject': 'target HC3N', 'subjectScheme': 'main'}, {'subject': 'excitationType Rotation', 'subjectScheme': 'main'}, {'subject': 'collisional excitation', 'subjectScheme': 'main'}, {'subject': 'collider.0 para-H2', 'subjectScheme': 'var'}, {'subject': 'collider.1 ortho-H2', 'subjectScheme': 'var'}, {'subject': 'collider.2 electron', 'subjectScheme': 'var'}, {'subject': 'astrophysics', 'subjectScheme': 'var'}, {'subject': 'interstellar medium', 'subjectScheme': 'var'}, {'subject': 'comets', 'subjectScheme': 'var'}, {'subject': 'circumstellar medium', 'subjectScheme': 'var'}, {'subject': 'gas', 'subjectScheme': 'var'}, {'subject': 'microwave spectroscopy', 'subjectScheme': 'var'}, {'subject': 'infrared spectroscopy', 'subjectScheme': 'var'}, {'subject': 'rotational excitation', 'subjectScheme': 'var'}, {'subject': 'rovibrational excitation', 'subjectScheme': 'var'}, {'subject': 'vibrational excitation', 'subjectScheme': 'var'}, {'subject': 'electronic excitation', 'subjectScheme': 'var'}, {'subject': 'collisional rate coefficients', 'subjectScheme': 'var'}, {'subject': 'fine structure', 'subjectScheme': 'var'}, {'subject': 'hyperfine structure', 'subjectScheme': 'var'}]",,['Radex']
+10.48537/hal-03220334,"Atmospheres of Rejection, How Dark Design Rejects homeless in the city",Reseau International Ambiances,2020,en,Text,Creative Commons Attribution Non Commercial No Derivatives 2.0 Generic,"You are looking for a place to sleep. You have no job, no money, and no place to stay. The night is closing in, and the city is changing its face from day to night. What will you do? Where will you go? This is the situation for millions of homeless people ‘sleeping rough’ in cities every night all over the world. This paper explores in more depth how the rejection of homeless people in urban spaces is an interplay between public space design and human bodies. The framework of ‘dark design’ is utilized to illustrate how social exclusion by design (e.g. spikes, leaning benches, inserts of metal frame etc.) is materializing, and how this is felt. The paper explores how the material exclusion of homeless people through dark design is enrolled into an ‘atmosphere of rejection’.",mds,True,findable,0,0,0,0,0,2021-06-17T20:55:13.000Z,2021-06-17T20:55:14.000Z,jbru.aau,jbru,"Dark Design,Social Exclusion,Multisensorial Embodiment","[{'lang': 'eng', 'subject': 'Dark Design'}, {'lang': 'eng', 'subject': 'Social Exclusion'}, {'lang': 'eng', 'subject': 'Multisensorial Embodiment'}]",['6 pages'],['application/pdf']
+10.17178/emaa_n2h-plus_rotation_5874615e,Rotation excitation of N2H+ by para-H2 collisions,"UGA, CNRS, CNRS-INSU, OSUG",2021,en,Dataset,"Please acknowledge the use of EMAA Database by citing the original articles in which the data were published (BibTeX format available), and adding the following sentence in your publication:
+This research has made use of spectroscopic and collisional data from the EMAA database (https://emaa.osug.fr). EMAA is supported by the Observatoire des Sciences de l'Univers de Grenoble (OSUG),Creative Commons Attribution 4.0 International,Data access and use are ruled by the EMAA data policy.",21 rotation energy levels / 20 radiative transitions / 210 collisional transitions for para-H2 (26 temperatures in the range 5-500K),mds,True,findable,0,0,0,0,0,2021-11-18T13:35:25.000Z,2021-11-18T13:35:26.000Z,inist.osug,jbru,"target N2H+,excitationType Rotation,collisional excitation,collider.0 para-H2,astrophysics,interstellar medium,comets,circumstellar medium,gas,microwave spectroscopy,infrared spectroscopy,rotational excitation,rovibrational excitation,vibrational excitation,electronic excitation,collisional rate coefficients,fine structure,hyperfine structure","[{'subject': 'target N2H+', 'subjectScheme': 'main'}, {'subject': 'excitationType Rotation', 'subjectScheme': 'main'}, {'subject': 'collisional excitation', 'subjectScheme': 'main'}, {'subject': 'collider.0 para-H2', 'subjectScheme': 'var'}, {'subject': 'astrophysics', 'subjectScheme': 'var'}, {'subject': 'interstellar medium', 'subjectScheme': 'var'}, {'subject': 'comets', 'subjectScheme': 'var'}, {'subject': 'circumstellar medium', 'subjectScheme': 'var'}, {'subject': 'gas', 'subjectScheme': 'var'}, {'subject': 'microwave spectroscopy', 'subjectScheme': 'var'}, {'subject': 'infrared spectroscopy', 'subjectScheme': 'var'}, {'subject': 'rotational excitation', 'subjectScheme': 'var'}, {'subject': 'rovibrational excitation', 'subjectScheme': 'var'}, {'subject': 'vibrational excitation', 'subjectScheme': 'var'}, {'subject': 'electronic excitation', 'subjectScheme': 'var'}, {'subject': 'collisional rate coefficients', 'subjectScheme': 'var'}, {'subject': 'fine structure', 'subjectScheme': 'var'}, {'subject': 'hyperfine structure', 'subjectScheme': 'var'}]",,['Radex']
+10.17178/zaa_soil_temp.odyssee,Long term monitoring of near surface soil temperature in the European mountains,UGA – OSUG – CNRS,2021,en,Dataset,"Creative Commons Attribution 4.0 International,For any publication using ZAA data, depending on the contribution of the data to the scientific results obtained, data users should either propose co-authorship to the data providers (doi Project leaders) or at least acknowledge their contribution.
+The acknowledging sentence which should appear in publications using ZAA temp-soil data and products is in the readme file joint with the dataset","Monitoring of near-surface soil temperature in European mountain meadows. Data are collected as part of the ANR project ODYSSEE (Projet-ANR-13-ISV7-0004). Data include a GPS position, a date and time in UTC and a near-surface soil temperature (in °C) measured at 5 cm belowground using stand-alone temperature data logger.",mds,True,findable,0,0,0,0,0,2021-07-13T13:43:41.000Z,2021-07-13T13:43:42.000Z,inist.osug,jbru,"microclimate,mountain climate,long-term monitoring,soil,root zone,cold zone ecosystem,soil temperature","[{'subject': 'microclimate', 'subjectScheme': 'main'}, {'subject': 'mountain climate', 'subjectScheme': 'main'}, {'subject': 'long-term monitoring', 'subjectScheme': 'main'}, {'subject': 'soil', 'subjectScheme': 'main'}, {'subject': 'root zone', 'subjectScheme': 'main'}, {'subject': 'cold zone ecosystem', 'subjectScheme': 'main'}, {'subject': 'soil temperature', 'subjectScheme': 'var'}]",,['CSV']
+10.17178/draixbleone_gal_rob_disch_0719,Liquid discharge of the river Galabre at the Robine station of the Galabre watershed,IGE - CNRS - OSUG,2020,en,Dataset,"Always quote below citation to Esteves et al. (2019) when using these data. Esteves M., Legout C., Navratil O., Evrard O. (2019) Medium term high frequency observation of discharges and suspended sediment in a Mediterranean mountainous catchment. Journal of Hydrology 568: 562-574. doi.org/10.1016/j.jhydrol.2018.10.066.,Creative Commons Attribution 4.0 International,The following acknowledging sentence should appear in publications using data and products from the Galabre watershed of the Draix Bleone Observatory: ""DRAIX BLEONE is funded by the Institut National des Sciences de l’Univers (INSU/CNRS) and the Observatoire des Sciences de l’Univers de Grenoble (OSUG / Université Grenoble Alpes)â€.,Always quote below citation to Legout et al. (submitted) when using these data. Legout C., Freche G., Biron R., Esteves M., Nord G, Navratil O., Uber M., Grangeon T., Hachgenei N., Boudevillain B. Voiron C., Spadini L. A critical zone observatory dedicated to suspended sediment transport: the meso-scale Galabre catchment (southern French Alps), submitted to Hydrological Processes.",This discharge data set is part of the DRAIXBLEONE_GAL observatory.,mds,True,findable,0,0,0,0,0,2020-09-15T15:58:40.000Z,2020-09-15T15:58:41.000Z,inist.osug,jbru,"Mediterranean mountainous climate,Surface water,Hydrology","[{'subject': 'Mediterranean mountainous climate', 'subjectScheme': 'main'}, {'subject': 'Surface water', 'subjectScheme': 'var'}, {'subject': 'Hydrology', 'subjectScheme': 'var'}]",,['CSV']
+10.5061/dryad.mgqnk98wm,Data from: Shells of the bivalve Astarte moerchi give new evidence of a strong pelagic-benthic coupling shift occurring since the late 1970s in the NOW Polynya,Dryad,2020,en,Dataset,Creative Commons Zero v1.0 Universal,"Climate changes in the Arctic may weaken the currently tight pelagic-benthic coupling. In response to decreasing sea ice cover, arctic marine systems are expected to shift from a ‘sea-ice algae-benthos’ to a ‘phytoplankton-zooplankton’ dominance. We used mollusk shells as bioarchives and fatty acid trophic markers to estimate the effects of the reduction of sea ice cover on the exported food to the seafloor. Bathyal bivalve Astarte moerchi that lives at 600 m depth in northern Baffin Bay reveals a clear shift in growth variations and Ba/Ca ratios since the late 1970s that we relate to a change in food availability. Fatty acid compositions of tissues show that this species feeds mainly on microalgae exported from the euphotic zone to the seabed. We thus suggest that changes in pelagic-benthic coupling are likely due to either local changes in sea ice dynamics, mediated through bottom-up regulation exerted by sea ice on phytoplankton production or to a mismatch between phytoplankton bloom and zooplankton grazing due to change in their phenology. Both possibilities allow a more regular and increased transfer of food to the seabed.",mds,True,findable,150,9,0,0,0,2020-07-08T21:02:01.000Z,2020-07-08T21:02:02.000Z,dryad.dryad,dryad,,,['1544756 bytes'],
+10.17178/emaa_para-(13c)c2h2_rotation_62296b37,Rotation excitation of para-c-[13C]C2H2 by He and para-H2 collisions,"UGA, CNRS, CNRS-INSU, OSUG",2023,en,Dataset,"Please acknowledge the use of EMAA Database by citing the original articles in which the data were published (BibTeX format available), and adding the following sentence in your publication:
+This research has made use of spectroscopic and collisional data from the EMAA database (https://emaa.osug.fr). EMAA is supported by the Observatoire des Sciences de l'Univers de Grenoble (OSUG),Creative Commons Attribution 4.0 International,Data access and use are ruled by the EMAA data policy.",42 rotation energy levels / 86 radiative transitions / 861 collisional transitions for para-H2 (9 temperatures in the range 5-120K) / 861 collisional transitions for He (9 temperatures in the range 5-120K),mds,True,findable,0,0,0,0,0,2023-12-07T15:52:03.000Z,2023-12-07T15:52:04.000Z,inist.osug,jbru,"target para-c-[13C]C2H2,excitationType Rotation,collisional excitation,collider.0 para-H2,collider.1 He,astrophysics,interstellar medium,comets,circumstellar medium,gas,microwave spectroscopy,infrared spectroscopy,rotational excitation,rovibrational excitation,vibrational excitation,electronic excitation,collisional rate coefficients,fine structure,hyperfine structure","[{'subject': 'target para-c-[13C]C2H2', 'subjectScheme': 'main'}, {'subject': 'excitationType Rotation', 'subjectScheme': 'main'}, {'subject': 'collisional excitation', 'subjectScheme': 'main'}, {'subject': 'collider.0 para-H2', 'subjectScheme': 'var'}, {'subject': 'collider.1 He', 'subjectScheme': 'var'}, {'subject': 'astrophysics', 'subjectScheme': 'var'}, {'subject': 'interstellar medium', 'subjectScheme': 'var'}, {'subject': 'comets', 'subjectScheme': 'var'}, {'subject': 'circumstellar medium', 'subjectScheme': 'var'}, {'subject': 'gas', 'subjectScheme': 'var'}, {'subject': 'microwave spectroscopy', 'subjectScheme': 'var'}, {'subject': 'infrared spectroscopy', 'subjectScheme': 'var'}, {'subject': 'rotational excitation', 'subjectScheme': 'var'}, {'subject': 'rovibrational excitation', 'subjectScheme': 'var'}, {'subject': 'vibrational excitation', 'subjectScheme': 'var'}, {'subject': 'electronic excitation', 'subjectScheme': 'var'}, {'subject': 'collisional rate coefficients', 'subjectScheme': 'var'}, {'subject': 'fine structure', 'subjectScheme': 'var'}, {'subject': 'hyperfine structure', 'subjectScheme': 'var'}]",,['Radex']
+10.48537/hal-03220367,Re-Sensitizing as New Sensitizations Process Experiences on/of the Street,Reseau International Ambiances,2020,en,Text,Creative Commons Attribution Non Commercial No Derivatives 2.0 Generic,"Ambiances affect us in several ways. Our everyday lifestyle has guided us to a lack of time to feel, raising questions about our sensitiveness. Questioning if re-sensitizing activities would create new ways of sensitivity, we decided to explore the points of view of passersby from the streets of downtown Rio de Janeiro. Experiences on/of the streets have derived from the look of the flâneur. Each passerby was invited to analyze the street in sensible ways such as sounds, smells, and with the help of a frame – as in when one is about to photograph something – an angle of the street. The experience has shown that the sensitive is in everyday life and is apprehend- ed when we let ourselves be carried away by the affections, the feeling stripped of the analytical eye.",mds,True,findable,0,0,0,0,0,2021-06-17T10:18:02.000Z,2021-06-17T10:18:02.000Z,jbru.aau,jbru,"Re-Sensitizing,Flaneur,Street,Photograph","[{'lang': 'eng', 'subject': 'Re-Sensitizing'}, {'lang': 'eng', 'subject': 'Flaneur'}, {'lang': 'eng', 'subject': 'Street'}, {'lang': 'eng', 'subject': 'Photograph'}]",['6 pages'],['application/pdf']
+10.18709/perscido.2023.02.ds384,Championship Value Prediction 1 Secret Traces,PerSCiDO,2023,,Dataset,,"The following traces are 2013 ""secret"" execution traces that were generated for the Championship Value Prediction 1 (https://www.microarch.org/cvp1/cvp1online/contestants.html) that took place with the IEEE/ACM International Symposium on Computer Architecture (ISCA) 2018. There traces contain instructions executed by ARMv8 workloads of interest to CPU design. The traces only contain partial information and are anonymized, in the sense that the program from which a given trace was generated is not available. All traces used in CVP-1 were released to the public domain after CVP-1.
- (1) Galle et al. (2018). AMMA-CATCH a Critical Zone Observatory in West Africa Monitoring a Region in Transition. Vadose Zone Journal, 17 (1), 18006.
- (2) AMMA-CATCH (1990). AMMA-CATCH : a hydrological, meteorological and ecological observatory on West Africa. IRD, CNRS-INSU, OSUG, OMP, OREME. doi:10.17178/AMMA-CATCH.all
+This release contains :
+- ./secret_traces : 2013 traces containing 100M instructions, known as the ""secret traces"" as this is what contestant code was evaluated on during CVP-1
-Optional: cite the DOI of each dataset used.
+Additional information about how to use the traces and the trace format is provided in the README.",api,True,findable,0,0,0,0,0,2023-02-10T14:59:46.000Z,2023-02-10T14:59:46.000Z,inist.persyval,vcob,Computer Science,"[{'subject': 'Computer Science', 'subjectScheme': 'http://www.radar-projekt.org/display/Computer_Science'}]",['40000 Mo'],
+10.5281/zenodo.6638442,A single hole with enhance coherence in natural silicon,Zenodo,2022,,Dataset,"Creative Commons Attribution 4.0 International,Open Access",A single hole with enhance coherence in natural silicon,mds,True,findable,0,0,0,0,0,2022-06-13T13:50:58.000Z,2022-06-13T13:50:59.000Z,cern.zenodo,cern,,,,
+10.17178/gnss.products.japan_gipsyx.daily,GNSS daily position solutions in Japan,"CNRS, OSUG, ISTERRE",2022,en,Dataset,"License: CC BY-NC-ND 4.0,Data access and use are ruled by the OSUG data policy.,The following acknowledging sentence should appear in publications using ISTerre GNSS products: ""GNSS products are calculated and provided by the Institut of Sciences de la Terre (ISTerre), belonging to the Institut National des Sciences de l’Univers (INSU/CNRS) and the Observatoire des Sciences de l’Univers de Grenoble (OSUG / Université Grenoble Alpes)"".
+You are invited to contact the PI(s) or lead scientist for more information about the data and to include the acknowledgement sentence in any publication using the data.","This dataset includes daily solutions processed by ISTerre for 1505 Japanese GNSS stations. These products are position time series (North, East and Vertical), in the ITRF14 reference frame, calculated from RINEX files using the PPP strategy with GIPSYX software.",mds,True,findable,0,0,1,1,0,2022-05-20T15:30:44.000Z,2022-05-20T15:30:47.000Z,inist.osug,jbru,"GNSS products,GNSS data analysis,Time serie positioning","[{'subject': 'GNSS products', 'subjectScheme': 'main'}, {'subject': 'GNSS data analysis', 'subjectScheme': 'var'}, {'subject': 'Time serie positioning', 'subjectScheme': 'var'}]",,"['pos', 'PBO']"
+10.17178/emaa_(13c)o_rotation_30dfe01d,"Rotation excitation of [13C]O by ortho-H2O, para-H2 and para-H2O collisions","UGA, CNRS, CNRS-INSU, OSUG",2021,en,Dataset,"Please acknowledge the use of EMAA Database by citing the original articles in which the data were published (BibTeX format available), and adding the following sentence in your publication:
+This research has made use of spectroscopic and collisional data from the EMAA database (https://emaa.osug.fr). EMAA is supported by the Observatoire des Sciences de l'Univers de Grenoble (OSUG),Creative Commons Attribution 4.0 International,Data access and use are ruled by the EMAA data policy.",14 rotation energy levels / 13 radiative transitions / 55 collisional transitions for para-H2O (20 temperatures in the range 5-100K) / 55 collisional transitions for ortho-H2O (20 temperatures in the range 5-100K) / 10 collisional transitions for para-H2 (9 temperatures in the range 2-40K),mds,True,findable,0,0,4,0,0,2022-02-07T11:23:59.000Z,2022-02-07T11:24:00.000Z,inist.osug,jbru,"target [13C]O,excitationType Rotation,collisional excitation,collider.0 para-H2O,collider.1 ortho-H2O,collider.2 para-H2,astrophysics,interstellar medium,comets,circumstellar medium,gas,microwave spectroscopy,infrared spectroscopy,rotational excitation,rovibrational excitation,vibrational excitation,electronic excitation,collisional rate coefficients,fine structure,hyperfine structure","[{'subject': 'target [13C]O', 'subjectScheme': 'main'}, {'subject': 'excitationType Rotation', 'subjectScheme': 'main'}, {'subject': 'collisional excitation', 'subjectScheme': 'main'}, {'subject': 'collider.0 para-H2O', 'subjectScheme': 'var'}, {'subject': 'collider.1 ortho-H2O', 'subjectScheme': 'var'}, {'subject': 'collider.2 para-H2', 'subjectScheme': 'var'}, {'subject': 'astrophysics', 'subjectScheme': 'var'}, {'subject': 'interstellar medium', 'subjectScheme': 'var'}, {'subject': 'comets', 'subjectScheme': 'var'}, {'subject': 'circumstellar medium', 'subjectScheme': 'var'}, {'subject': 'gas', 'subjectScheme': 'var'}, {'subject': 'microwave spectroscopy', 'subjectScheme': 'var'}, {'subject': 'infrared spectroscopy', 'subjectScheme': 'var'}, {'subject': 'rotational excitation', 'subjectScheme': 'var'}, {'subject': 'rovibrational excitation', 'subjectScheme': 'var'}, {'subject': 'vibrational excitation', 'subjectScheme': 'var'}, {'subject': 'electronic excitation', 'subjectScheme': 'var'}, {'subject': 'collisional rate coefficients', 'subjectScheme': 'var'}, {'subject': 'fine structure', 'subjectScheme': 'var'}, {'subject': 'hyperfine structure', 'subjectScheme': 'var'}]",,['Radex']
+10.48537/hal-03220273,To Conceive Shared Affective Atmospheres Based on Discomfort Experiences for Autistic Children,Reseau International Ambiances,2020,en,Text,Creative Commons Attribution Non Commercial No Derivatives 2.0 Generic,"Autism is one of the most common developmental disorders in the world. It is defined by inadequate interaction and com- munication. This disorder induces an altered perception. We started from the sources of stress and discomfort in order to create a comforting atmosphere that allows the autistic child to progress in his care center. We so followed a multidisciplinary approach between teams of architects, engineers and child psychiatrists. Our methodology was based on the latest technologies in cognitive science in the capture of the emotional state correlated with the behavioral model, called sensory profile. We aim to propose an architectural space adequate to the sensitive particularities of autistic children in order to guarantee their well-being and comfort.",mds,True,findable,0,0,0,0,0,2021-06-17T20:46:04.000Z,2021-06-17T20:46:05.000Z,jbru.aau,jbru,"Autism,Comfort,Well-Being,Discomfort,Technology,Affective Atmospheres","[{'lang': 'eng', 'subject': 'Autism'}, {'lang': 'eng', 'subject': 'Comfort'}, {'lang': 'eng', 'subject': 'Well-Being'}, {'lang': 'eng', 'subject': 'Discomfort'}, {'lang': 'eng', 'subject': 'Technology'}, {'lang': 'eng', 'subject': 'Affective Atmospheres'}]",['6 pages'],['application/pdf']
+10.5281/zenodo.7307793,SolSysELTs2022 Part II: Observing asteroids and trans-Neptunian objects with MICADO/MAORY,Zenodo,2022,en,Audiovisual,"Creative Commons Attribution 4.0 International,Open Access",Contributed talk: presentation and video recording,mds,True,findable,0,0,0,0,0,2022-11-09T12:23:20.000Z,2022-11-09T12:23:21.000Z,cern.zenodo,cern,,,,
+10.5061/dryad.rb0qk13,Data from: Cold adaptation in the Asian tiger mosquito’s native range precedes its invasion success in temperate regions,Dryad,2019,en,Dataset,Creative Commons Zero v1.0 Universal,"Adaptation to environmental conditions within the native range of exotic species can condition the invasion success of these species outside their range. The striking success of the Asian tiger mosquito, Aedes albopictus, to invade temperate regions has been attributed to the winter survival of diapause eggs in cold environments. In this study, we evaluate genetic polymorphisms (SNPs) and wing morphometric variation among three biogeographical regions of the native range of A. albopictus. Reconstructed demographic histories of populations show an initial expansion in Southeast Asia and suggest that marine regression during late Pleistocene and climate warming after the last glacial period favored expansion of populations in southern and northern regions respectively. Searching for genomic signatures of selection, we identified significantly differentiated SNPs among which several are located in or within 20kb distance from candidate genes for cold adaptation. These genes involve cellular and metabolic processes and several of them have been shown to be differentially expressed under diapausing conditions. The three biogeographical regions also differ for wing size and shape, and wing size increases with latitude supporting Bergmann’s rule. Adaptive genetic and morphometric variation observed along the climatic gradient of A. albopictus native range suggests that colonization of northern latitudes promoted adaptation to cold environments prior to its worldwide invasion.",mds,True,findable,256,14,2,2,0,2019-06-17T17:42:21.000Z,2019-06-17T17:42:21.000Z,dryad.dryad,dryad,"Aedes albopictus,cold adaptation","[{'subject': 'Aedes albopictus'}, {'subject': 'cold adaptation'}]",['9913223 bytes'],
+10.48537/hal-03220309,"In-Between Art, Architecture and Landscape, Experiments on Poetic Ways of Research-Creation in Rio de Janeiro",Reseau International Ambiances,2020,en,Text,Creative Commons Attribution Non Commercial No Derivatives 2.0 Generic,"The research “In Between Art, Architecture and Landscape†investigates contemporary practices in the expanded field, especially those of a site-specific character. Our group has practiced some gestures of research-creation, inspired by situationist and contemporary artistic tactics in flux – “deÌrives,†“eÌveÌnements,†poetic images, montages and play-elements – in the suburban neighborhood of Encantado, in Rio de Janeiro, with the aim of investigating its sense of history and atmosphere and raising questions about its possible reinvention. The article presents our artistic actions as the collective “Re-Encantado,†with the engagement of local residents: “Atlas of Encantado,†a ‘montage’ of past and present images, and “Where is Encantado River?†– eÌveÌnements and videos.",mds,True,findable,0,0,0,0,0,2021-06-17T16:48:23.000Z,2021-06-17T16:48:24.000Z,jbru.aau,jbru,"Memory,Play-Elements,Suburb","[{'lang': 'eng', 'subject': 'Memory'}, {'lang': 'eng', 'subject': 'Play-Elements'}, {'lang': 'eng', 'subject': 'Suburb'}]",['6 pages'],['application/pdf']
+10.48537/hal-03220368,"After the Ruins, An Affective Topography of Post-Earthquake Cities",Reseau International Ambiances,2020,en,Text,Creative Commons Attribution Non Commercial No Derivatives 2.0 Generic,"The research we present focuses on a phenomenographical mapping of a mountainous region of Central Italy which, between 2009 and 2017, was struck by several catastrophic earthquakes. As the reconstruction efforts are variously proceeding to reinstate a questionable status ante quem, there is a widespread feeling that this rebuilding is in fact ignoring the “human space†that animated the towns before the dramatic events. This affective topography thus aims at presencing the atmospheric situations we have encountered by means of a variety of media, among which drawing, photography, cartography and com- mented walks..",mds,True,findable,0,0,0,0,0,2021-06-17T16:47:01.000Z,2021-06-17T16:47:02.000Z,jbru.aau,jbru,"Phenomenography,Affective Topography,Urban Atmospheres","[{'lang': 'eng', 'subject': 'Phenomenography'}, {'lang': 'eng', 'subject': 'Affective Topography'}, {'lang': 'eng', 'subject': 'Urban Atmospheres'}]",['6 pages'],['application/pdf']
+10.17178/emaa_meta-nd3_rotation_4181d476,Rotation excitation of meta-ND3 by para-H2 collisions,"UGA, CNRS, CNRS-INSU, OSUG",2021,en,Dataset,"Please acknowledge the use of EMAA Database by citing the original articles in which the data were published (BibTeX format available), and adding the following sentence in your publication:
+This research has made use of spectroscopic and collisional data from the EMAA database (https://emaa.osug.fr). EMAA is supported by the Observatoire des Sciences de l'Univers de Grenoble (OSUG),Creative Commons Attribution 4.0 International,Data access and use are ruled by the EMAA data policy.",9 rotation energy levels / 8 radiative transitions / 36 collisional transitions for para-H2 (8 temperatures in the range 5-40K),mds,True,findable,0,0,0,0,0,2021-11-17T14:01:15.000Z,2021-11-17T14:01:17.000Z,inist.osug,jbru,"target meta-ND3,excitationType Rotation,collisional excitation,collider.0 para-H2,astrophysics,interstellar medium,comets,circumstellar medium,gas,microwave spectroscopy,infrared spectroscopy,rotational excitation,rovibrational excitation,vibrational excitation,electronic excitation,collisional rate coefficients,fine structure,hyperfine structure","[{'subject': 'target meta-ND3', 'subjectScheme': 'main'}, {'subject': 'excitationType Rotation', 'subjectScheme': 'main'}, {'subject': 'collisional excitation', 'subjectScheme': 'main'}, {'subject': 'collider.0 para-H2', 'subjectScheme': 'var'}, {'subject': 'astrophysics', 'subjectScheme': 'var'}, {'subject': 'interstellar medium', 'subjectScheme': 'var'}, {'subject': 'comets', 'subjectScheme': 'var'}, {'subject': 'circumstellar medium', 'subjectScheme': 'var'}, {'subject': 'gas', 'subjectScheme': 'var'}, {'subject': 'microwave spectroscopy', 'subjectScheme': 'var'}, {'subject': 'infrared spectroscopy', 'subjectScheme': 'var'}, {'subject': 'rotational excitation', 'subjectScheme': 'var'}, {'subject': 'rovibrational excitation', 'subjectScheme': 'var'}, {'subject': 'vibrational excitation', 'subjectScheme': 'var'}, {'subject': 'electronic excitation', 'subjectScheme': 'var'}, {'subject': 'collisional rate coefficients', 'subjectScheme': 'var'}, {'subject': 'fine structure', 'subjectScheme': 'var'}, {'subject': 'hyperfine structure', 'subjectScheme': 'var'}]",,['Radex']
+10.5281/zenodo.8333896,Seeds of Life in Space – SOLIS,Zenodo,2023,,Dataset,"Creative Commons Attribution 4.0 International,Open Access","Life on Earth is based on carbon chemistry, likely because of the C atoms ability to form long chains and polymers and its relatively large cosmic abundance. The same chemistry holds everywhere in the Universe and it starts in the interstellar clouds, from where the progenitors of Suns and Solar-like planetary systems are born. As the Nobel Laureate C. de Duve (2005) wrote: “The building blocks of life form naturally in our Galaxy and, most likely, also elsewhere in the cosmos. The chemical seeds of life are universal.†As a matter of fact, out of more than 270 species detected in the ISM, about 80% contain C atoms, and all species with more than five atoms are C-bearing ones. The latter are known as interstellar Complex Organic Molecules (iCOMs) and may represent the foundational organic chemistry underlying terrestrial life. SOLIS is a NOEMA Large Program which has the overall goal of understanding the organic chemistry during the first steps of the formation of a Solar-like planetary system. To this end, the immediate SOLIS objective is to provide a homogeneous data set of observations of five crucial iCOMs in seven targets representative of Solar-like systems in their first evolutionary stages. The observations are designed to map several lines from each of the targeted iCOMs and, hence, determine their abundance as well as the physical conditions of the region where the lines are emitted, with a precision on 10000—100 au scales. Thanks to the NOEMA capabilities, several more iCOMs are detected that complement the primary species targeted, allowing for a more comprehensive chemical study of the observed regions. SOLIS has observed the following seven sources: L1544, representative of prestellar cores; L1521, a VeLLO (Very Low-Luminosity) source at the very early stages of protostellar evolution; NGC 1333-IRAS4A, a low-luminosity Class 0 binary system; CepE-mm, an intermediate-luminosity Class 0 source; NGC 1333-SVS13A, a low-luminosity Class I binary system; OMC-2 FIR4, a protocluster analogue of the one where the Solar System was born; L1157-B1, a molecular shock close to a Class 0 source. SOLIS has targeted the following five iCOMs: methanol (CH3OH), considered the mother of many other iCOMs; dimethyl ether (CH3OCH3; DME), methyl formate (HCOOCH3: MF) and formamide (NH2HCO), three commonly observed iCOMs that have been predicted to be formed both in the gas-phase and on the grain surfaces; methoxy (CH3O), a crucial precursor of several iCOMs. In addition, the SOLIS observations have provided information on acetaldehyde (CH3CHO), methyl cyanide (CH3CN), the two smallest cyanopolyynes (HC3N and HC5N), among other iCOMs, as well as simpler molecules such as S-bearing ones or rarer isotopologues of hydrogen, nitrogen and silicon. The official SOLIS repository is at IRAM, and it includes various types of data, such as uv-tables, continuum emission maps, and continuum-subtracted data cubes. Please do not hesitate to contact Cecilia Ceccarelli (cecilia.ceccarelli@univ-grenoble-alpes.fr) and Paola Caselli (caselli@mpe.mpg.de) for further questions or to inform them about the use of the data for further scientific analysis or publications. For a complete list of publications please visit the SOLIS publication web page. The following acknowledgment would be appreciated: “This work made use of data from the NOEMA Large Program SOLIS (Seeds Of Life In Space), Ceccarelli & Caselli et al. 2017, ApJ 850, 176.â€",mds,True,findable,0,0,0,0,0,2023-09-11T09:50:33.000Z,2023-09-11T09:50:34.000Z,cern.zenodo,cern,"astrochemistry, star forming regions, radio observations, telescopes","[{'subject': 'astrochemistry, star forming regions, radio observations, telescopes'}]",,
+10.48537/hal-03220246,"Introduction to the Sound Installation “Beyond the Mortal Eyeâ€, On Listening to the Sonic Ambiances of Earth Systems",Reseau International Ambiances,2020,en,Text,Creative Commons Attribution Non Commercial No Derivatives 2.0 Generic,"Beyond the Mortal Eye is a sound-scape work that engages with the concept of deep time and our place within it. Using sounds of geological processes that are perceivable to the human ear, the installation voices a selection of slow, often invisible transformations that connect to and signify the passage of geological time. This installation is an initial practice-based experiment in ongoing research into the role of the sonic ambiances of Earth systems in communication about envi- ronmental change. It is designed to open up a space of enquiry and to fuel future research directions. This introduction to the work, by the artist, discusses the ideas behind the development of the installation.",fabrica,True,findable,0,0,0,0,0,2021-06-16T16:19:59.000Z,2021-06-16T16:20:00.000Z,jbru.aau,jbru,"Sonic Atmospheres,Deep Time,Earth Systems","[{'lang': 'eng', 'subject': 'Sonic Atmospheres'}, {'lang': 'eng', 'subject': 'Deep Time'}, {'lang': 'eng', 'subject': 'Earth Systems'}]",['6 pages'],['application/pdf']
+10.5281/zenodo.6860527,JASPAR TFBS LOLA databases - Part 1,Zenodo,2022,,Dataset,"Creative Commons Attribution 4.0 International,Open Access","This repository contains the first part of the JASPAR 2022 LOLA databases used by the JASPAR TFBS enrichment tool. For each organism, we provide the LOLA databases for all JASPAR 2022 TFBS sets as compressed directories containing a set of .RDS R objects. Databases are organised by genome assembly. Due to file sizes, we had to split the repository into two different parts. Part 2 of the repository containing the databases for human can be found here.",mds,True,findable,0,0,0,0,0,2022-07-25T12:25:26.000Z,2022-07-25T12:25:27.000Z,cern.zenodo,cern,,,,
+10.6084/m9.figshare.23822157.v1,Dataset for the replication experiment from Mirror exposure following visual body-size adaptation does not affect own body image,The Royal Society,2023,,Dataset,Creative Commons Attribution 4.0 International,Data for the replication experiment in CSV format.,mds,True,findable,0,0,0,0,0,2023-08-02T11:18:27.000Z,2023-08-02T11:18:27.000Z,figshare.ars,otjm,"Cognitive Science not elsewhere classified,Psychology and Cognitive Sciences not elsewhere classified","[{'subject': 'Cognitive Science not elsewhere classified'}, {'subject': 'Psychology and Cognitive Sciences not elsewhere classified'}]",['3105 Bytes'],
+10.6084/m9.figshare.23575375,Additional file 6 of Decoupling of arsenic and iron release from ferrihydrite suspension under reducing conditions: a biogeochemical model,figshare,2023,,Text,Creative Commons Attribution 4.0 International,Authors’ original file for figure 5,mds,True,findable,0,0,0,0,0,2023-06-25T03:11:53.000Z,2023-06-25T03:11:53.000Z,figshare.ars,otjm,"59999 Environmental Sciences not elsewhere classified,FOS: Earth and related environmental sciences,39999 Chemical Sciences not elsewhere classified,FOS: Chemical sciences,Ecology,FOS: Biological sciences,69999 Biological Sciences not elsewhere classified,Cancer","[{'subject': '59999 Environmental Sciences not elsewhere classified', 'schemeUri': 'http://www.abs.gov.au/ausstats/abs@.nsf/0/6BB427AB9696C225CA2574180004463E', 'subjectScheme': 'FOR'}, {'subject': 'FOS: Earth and related environmental sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': '39999 Chemical Sciences not elsewhere classified', 'schemeUri': 'http://www.abs.gov.au/ausstats/abs@.nsf/0/6BB427AB9696C225CA2574180004463E', 'subjectScheme': 'FOR'}, {'subject': 'FOS: Chemical sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Ecology'}, {'subject': 'FOS: Biological sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': '69999 Biological Sciences not elsewhere classified', 'schemeUri': 'http://www.abs.gov.au/ausstats/abs@.nsf/0/6BB427AB9696C225CA2574180004463E', 'subjectScheme': 'FOR'}, {'subject': 'Cancer'}]",['67584 Bytes'],
+10.17178/emaa_hd(34s)_rotation_8a51ba80,Rotation excitation of HD[34S] by ortho-H2 and para-H2 collisions,"UGA, CNRS, CNRS-INSU, OSUG",2022,en,Dataset,"Please acknowledge the use of EMAA Database by citing the original articles in which the data were published (BibTeX format available), and adding the following sentence in your publication:
+This research has made use of spectroscopic and collisional data from the EMAA database (https://emaa.osug.fr). EMAA is supported by the Observatoire des Sciences de l'Univers de Grenoble (OSUG),Creative Commons Attribution 4.0 International,Data access and use are ruled by the EMAA data policy.",36 rotation energy levels / 151 radiative transitions / 630 collisional transitions for ortho-H2 (11 temperatures in the range 5-400K) / 630 collisional transitions for para-H2 (11 temperatures in the range 5-400K),mds,True,findable,0,0,0,0,0,2023-12-07T15:51:11.000Z,2023-12-07T15:51:12.000Z,inist.osug,jbru,"target HD[34S],excitationType Rotation,collisional excitation,collider.0 ortho-H2,collider.1 para-H2,astrophysics,interstellar medium,comets,circumstellar medium,gas,microwave spectroscopy,infrared spectroscopy,rotational excitation,rovibrational excitation,vibrational excitation,electronic excitation,collisional rate coefficients,fine structure,hyperfine structure","[{'subject': 'target HD[34S]', 'subjectScheme': 'main'}, {'subject': 'excitationType Rotation', 'subjectScheme': 'main'}, {'subject': 'collisional excitation', 'subjectScheme': 'main'}, {'subject': 'collider.0 ortho-H2', 'subjectScheme': 'var'}, {'subject': 'collider.1 para-H2', 'subjectScheme': 'var'}, {'subject': 'astrophysics', 'subjectScheme': 'var'}, {'subject': 'interstellar medium', 'subjectScheme': 'var'}, {'subject': 'comets', 'subjectScheme': 'var'}, {'subject': 'circumstellar medium', 'subjectScheme': 'var'}, {'subject': 'gas', 'subjectScheme': 'var'}, {'subject': 'microwave spectroscopy', 'subjectScheme': 'var'}, {'subject': 'infrared spectroscopy', 'subjectScheme': 'var'}, {'subject': 'rotational excitation', 'subjectScheme': 'var'}, {'subject': 'rovibrational excitation', 'subjectScheme': 'var'}, {'subject': 'vibrational excitation', 'subjectScheme': 'var'}, {'subject': 'electronic excitation', 'subjectScheme': 'var'}, {'subject': 'collisional rate coefficients', 'subjectScheme': 'var'}, {'subject': 'fine structure', 'subjectScheme': 'var'}, {'subject': 'hyperfine structure', 'subjectScheme': 'var'}]",,['Radex']
+10.18709/perscido.2021.04.ds331,"F-TRACT, ATLAS February 2021",PerSCiDo,2021,en,Dataset,,"Connectivity probability as well as features describing fibers biophysical properties, estimated from CCEP data recorded in 648 patients, in the AAL, AICHA, Brodmann, Freesurfer, Hammers, HCP-MMP1, Lausanne2008 (resolutions 33, 60, 125, 250, 500) and MarsAtlas parcellation schemes. The CCEP features are: peak and onset latency (LatStart), amplitude, duration, integral, velocity estimated from the onset latency and the fibers distance between the parcels and axonal conduction delays. Synaptic excitatory and inhibitory delays are also provided for each parcel. All features have been estimated separately for patients younger than 15 y.o. (group ""0-15"") and patients older than 15 y.o. (group ""15-100"")",fabrica,True,findable,0,0,0,0,0,2021-04-13T14:09:49.000Z,2021-04-13T14:09:49.000Z,inist.persyval,vcob,"Biology,Medicine","[{'lang': 'en', 'subject': 'Biology'}, {'lang': 'en', 'subject': 'Medicine'}]",['800 MB'],['tsv-mat']
+10.5281/zenodo.7741947,"Data for: ""Land-use intensity influences European tetrapod food-webs""",Zenodo,2023,,Dataset,"Creative Commons Attribution 4.0 International,Open Access","These .Rdata files enable to reproduce results from our article "" Signatures of land use intensity on european tetrapod food-web architectures"" along with the R code provided at: https://github.com/ChrisBotella/foodwebs_vs_land_use - raw_data : Raw data including GBIF and iNaturalist occurrences and IUCN enveloppes used to select sites and generate species presence/absence. We provide this file for transparency and reproducibility of our methodology. - preprocessed_data: preprocessed data (obtained from raw_data) used to generate our article Figures along with the next file. - TrophicNetworksList : .Rdata containing a list of igraph objects, each igraph is a foodweb associated to a site identify by the list element name. - MultiRegMatrices: .Rdata containing especially the pre-computed matrix Y of cells (rows) by food web metrics (columns) and the covariate design matrix X (for the linear regressions) in order to facilitate and accelerate the reproduction of the analyses.",mds,True,findable,0,0,0,0,0,2023-03-16T17:16:19.000Z,2023-03-16T17:16:20.000Z,cern.zenodo,cern,,,,
+10.48537/hal-03220340,"Inhabiting Insecurity. Practices and Representations, Session 8 – Introduction",Reseau International Ambiances,2020,en,Text,Creative Commons Attribution Non Commercial No Derivatives 2.0 Generic,,mds,True,findable,0,0,0,0,0,2021-06-17T20:55:10.000Z,2021-06-17T20:55:11.000Z,jbru.aau,jbru,,,['2 pages'],['application/pdf']
+10.18709/perscido.2019.07.ds249,Timeseries of surface elevation maps at Dome C measured by time lapse laserscanning,PerSciDo,2019,,Dataset,,"The surface was scanned at Dome C almost daily for nearly 3 years using the Rugged Laserscan (RLS) developped by L. Arnaud and G. Picard (IGE). The dataset contains maps of surface elevation (DEM) with a resolution of 5 cm over an area of about 150m2. Maps are available at best daily, when enough valid data were acquired. The RLS and the data are described in G. Picard, L. Arnaud, R. Caneil, E. Lefebvre, M. Lamare, Observation of the process of snow accumulation on the Antarctic Plateau by time lapse laserscanning, The Cryosphere, doi:10.5194/tc-2019-4",fabrica,True,findable,0,0,0,0,0,2019-07-02T16:46:31.000Z,2019-07-02T16:46:32.000Z,inist.persyval,vcob,"Environmental Science and Ecology,Glaciology","[{'lang': 'en', 'subject': 'Environmental Science and Ecology'}, {'lang': 'en', 'subject': 'Glaciology'}]",,
+10.5281/zenodo.4603782,Atomic coordinates of the structures of iCOMs adsorbed at the surface of a crystalline ice model,Zenodo,2021,en,Dataset,"Creative Commons Attribution 4.0 International,Open Access","This dataset contains the atomic coordinates in the MOLDRAW format (.mol files) of the B3LYP-D3/A-VTZ* optimized structures of iCOMs adsorbed at the surface of a periodic model of proton-ordered crystalline water icy grain using the CRYSTAL17 computer code. Each file can be easily converted in input for the variety of quantum mechanical programs, like VASP, QE, etc.",mds,True,findable,0,0,0,0,0,2021-03-14T18:13:58.000Z,2021-03-14T18:13:59.000Z,cern.zenodo,cern,"Crystalline ice,B3LYP-D3,Adsorption,Modeling","[{'subject': 'Crystalline ice'}, {'subject': 'B3LYP-D3'}, {'subject': 'Adsorption'}, {'subject': 'Modeling'}]",,
+10.48537/hal-03220318,"Ambiences of Empathy and Fear, Cartography of Refugee Encampments in Mainland Greece 2019",Reseau International Ambiances,2020,en,Text,Creative Commons Attribution Non Commercial No Derivatives 2.0 Generic,"Divergent social sensitivities deriving from the ongoing since 2016 refugee crisis in Greece have undoubtedly redefined the landscape of ordinary life accentuating contradictions to the extreme. Focusing on the largest refugee reception facilities of main- land Greece Eleonas in Athens, and Diavata in Thessaloniki, we discuss social and spatial practices responding to refugee accommoda- tion and integration, three years past the peak of the crisis. Featuring original architectural documentations based on situated research, the paper addresses methods of investigation within camps and speculates on the impact of the spatial layout on the redefinition of refugee identity.",fabrica,True,findable,0,0,0,0,0,2021-06-17T21:00:20.000Z,2021-06-17T21:00:20.000Z,jbru.aau,jbru,"European Refugee Crisis,Camps,Shelters,Inhabitation,Agency","[{'lang': 'eng', 'subject': 'European Refugee Crisis'}, {'lang': 'eng', 'subject': 'Camps'}, {'lang': 'eng', 'subject': 'Shelters'}, {'lang': 'eng', 'subject': 'Inhabitation'}, {'lang': 'eng', 'subject': 'Agency'}]",['6 pages'],['application/pdf']
+10.5281/zenodo.1475271,SPARK_Artefice_session_05072017_Grenoble,Zenodo,2018,en,Audiovisual,"Creative Commons Attribution Non Commercial 4.0 International,Open Access","Recording of a collaborative design session between designers and clients.
-Co-authorship: depending on the contribution of the data to the scientific results obtained, the authors should either propose co-authorship to the data providers or at least acknowledge their contribution.",Measure components of the local-scale energy budget. Obtain forcing and validation data for modeling of soil-vegetation-atmosphere exchanges in Sahel. Contribute to the flux station network over the AMMA regional transect.,mds,True,findable,0,0,1,0,0,2021-11-15T12:52:04.000Z,2021-11-15T12:52:05.000Z,inist.osug,jbru,"Land surface exchange, water budget, energy budget, sahelian vegetation, evapo-transpiration, sahelian hydrology,Sahelian/Saharan climate,Wind Speed,Sensible Heat Flux,Carbon Dioxide Flux,Latent Heat Flux,Wind Direction,Air Temperature","[{'subject': 'Land surface exchange, water budget, energy budget, sahelian vegetation, evapo-transpiration, sahelian hydrology', 'subjectScheme': 'main'}, {'subject': 'Sahelian/Saharan climate', 'subjectScheme': 'main'}, {'subject': 'Wind Speed', 'subjectScheme': 'var'}, {'subject': 'Sensible Heat Flux', 'subjectScheme': 'var'}, {'subject': 'Carbon Dioxide Flux', 'subjectScheme': 'var'}, {'subject': 'Latent Heat Flux', 'subjectScheme': 'var'}, {'subject': 'Wind Direction', 'subjectScheme': 'var'}, {'subject': 'Air Temperature', 'subjectScheme': 'var'}]",,"['CSV', 'NETCDF', 'O&M 1.0']"
-10.17178/gnss.products.epos.2019.rapid,GNSS positions calculated in the framework of the EPOS initiative with IGS rapid products,"CNRS, OSUG, ISTERRE",2019,en,Dataset,"License: CC BY-NC-ND 4.0,Data access and use are ruled by the OSUG data policy.,The following acknowledging sentence should appear in publications using ISTerre GNSS products: ""GNSS products are calculated and provided by the Institut of Sciences de la Terre (ISTerre), belonging to the Institut National des Sciences de l’Univers (INSU/CNRS) and the Observatoire des Sciences de l’Univers de Grenoble (OSUG / Université Grenoble Alpes)"".
-You are invited to contact the PI(s) or lead scientist for more information about the data and to include the acknowledgement sentence in any publication using the data.","This dataset include all GNSS solutions processed by ISTerre with IGS rapid products in the framework of the EPOS initiative. These products are position time series (North, East and Vertical) calculated from rinex files using the double difference method with GAMIT software. These products are updated every day.",mds,True,findable,0,0,0,0,0,2019-11-08T14:59:31.000Z,2019-11-08T14:59:32.000Z,inist.osug,jbru,"GNSS products,GNSS data analysis,Time serie positioning","[{'subject': 'GNSS products', 'subjectScheme': 'main'}, {'subject': 'GNSS data analysis', 'subjectScheme': 'var'}, {'subject': 'Time serie positioning', 'subjectScheme': 'var'}]",,"['sinex', 'pos', 'PBO']"
-10.17178/emaa_para-nh2d_hyperfine_f7886cfc,Hyperfine excitation of para-NH2D by para-H2 collisions,"UGA, CNRS, CNRS-INSU, OSUG",2021,en,Dataset,"Please acknowledge the use of EMAA Database by citing the original articles in which the data were published (BibTeX format available), and adding the following sentence in your publication:
-This research has made use of spectroscopic and collisional data from the EMAA database (https://emaa.osug.fr). EMAA is supported by the Observatoire des Sciences de l'Univers de Grenoble (OSUG),Creative Commons Attribution 4.0 International,Data access and use are ruled by the EMAA data policy.",25 hyperfine energy levels / 90 radiative transitions / 276 collisional transitions for para-H2 (7 temperatures in the range 5-50K),mds,True,findable,0,0,0,0,0,2021-11-17T14:02:11.000Z,2021-11-17T14:02:12.000Z,inist.osug,jbru,"target para-NH2D,excitationType Hyperfine,collisional excitation,collider.0 para-H2,astrophysics,interstellar medium,comets,circumstellar medium,gas,microwave spectroscopy,infrared spectroscopy,rotational excitation,rovibrational excitation,vibrational excitation,electronic excitation,collisional rate coefficients,fine structure,hyperfine structure","[{'subject': 'target para-NH2D', 'subjectScheme': 'main'}, {'subject': 'excitationType Hyperfine', 'subjectScheme': 'main'}, {'subject': 'collisional excitation', 'subjectScheme': 'main'}, {'subject': 'collider.0 para-H2', 'subjectScheme': 'var'}, {'subject': 'astrophysics', 'subjectScheme': 'var'}, {'subject': 'interstellar medium', 'subjectScheme': 'var'}, {'subject': 'comets', 'subjectScheme': 'var'}, {'subject': 'circumstellar medium', 'subjectScheme': 'var'}, {'subject': 'gas', 'subjectScheme': 'var'}, {'subject': 'microwave spectroscopy', 'subjectScheme': 'var'}, {'subject': 'infrared spectroscopy', 'subjectScheme': 'var'}, {'subject': 'rotational excitation', 'subjectScheme': 'var'}, {'subject': 'rovibrational excitation', 'subjectScheme': 'var'}, {'subject': 'vibrational excitation', 'subjectScheme': 'var'}, {'subject': 'electronic excitation', 'subjectScheme': 'var'}, {'subject': 'collisional rate coefficients', 'subjectScheme': 'var'}, {'subject': 'fine structure', 'subjectScheme': 'var'}, {'subject': 'hyperfine structure', 'subjectScheme': 'var'}]",,['Radex']
-10.17178/emaa_para-c3h2_rotation_bcdd4e50,Rotation excitation of para-c-C3H2 by He and para-H2 collisions,"UGA, CNRS, CNRS-INSU, OSUG",2023,en,Dataset,"Please acknowledge the use of EMAA Database by citing the original articles in which the data were published (BibTeX format available), and adding the following sentence in your publication:
-This research has made use of spectroscopic and collisional data from the EMAA database (https://emaa.osug.fr). EMAA is supported by the Observatoire des Sciences de l'Univers de Grenoble (OSUG),Creative Commons Attribution 4.0 International,Data access and use are ruled by the EMAA data policy.",50 rotation energy levels / 115 radiative transitions / 1225 collisional transitions for para-H2 (9 temperatures in the range 5-120K) / 1225 collisional transitions for He (9 temperatures in the range 5-120K),mds,True,findable,0,0,0,0,0,2023-12-07T15:52:07.000Z,2023-12-07T15:52:08.000Z,inist.osug,jbru,"target para-c-C3H2,excitationType Rotation,collisional excitation,collider.0 para-H2,collider.1 He,astrophysics,interstellar medium,comets,circumstellar medium,gas,microwave spectroscopy,infrared spectroscopy,rotational excitation,rovibrational excitation,vibrational excitation,electronic excitation,collisional rate coefficients,fine structure,hyperfine structure","[{'subject': 'target para-c-C3H2', 'subjectScheme': 'main'}, {'subject': 'excitationType Rotation', 'subjectScheme': 'main'}, {'subject': 'collisional excitation', 'subjectScheme': 'main'}, {'subject': 'collider.0 para-H2', 'subjectScheme': 'var'}, {'subject': 'collider.1 He', 'subjectScheme': 'var'}, {'subject': 'astrophysics', 'subjectScheme': 'var'}, {'subject': 'interstellar medium', 'subjectScheme': 'var'}, {'subject': 'comets', 'subjectScheme': 'var'}, {'subject': 'circumstellar medium', 'subjectScheme': 'var'}, {'subject': 'gas', 'subjectScheme': 'var'}, {'subject': 'microwave spectroscopy', 'subjectScheme': 'var'}, {'subject': 'infrared spectroscopy', 'subjectScheme': 'var'}, {'subject': 'rotational excitation', 'subjectScheme': 'var'}, {'subject': 'rovibrational excitation', 'subjectScheme': 'var'}, {'subject': 'vibrational excitation', 'subjectScheme': 'var'}, {'subject': 'electronic excitation', 'subjectScheme': 'var'}, {'subject': 'collisional rate coefficients', 'subjectScheme': 'var'}, {'subject': 'fine structure', 'subjectScheme': 'var'}, {'subject': 'hyperfine structure', 'subjectScheme': 'var'}]",,['Radex']
-10.17178/ohmcv.hss.cla.11-14.1,Gazel and Claduègne hydro-sedimentary stations,CNRS - OSUG - OREME,2011,en,Dataset,"Data access and use are ruled by the OHMCV data policy.,The following acknowledging sentence should appear in publications using OHMCV data and products: ""OHMCV is funded by the Institut National des Sciences de l’Univers (INSU/CNRS) and the Observatoire des Sciences de l’Univers de Grenoble (OSUG / Université Grenoble Alpes)â€.",This dataset is part of the Cevennesâ€Vivarais Mediterranean Hydrometeorological Observatory (OHMCV),mds,True,findable,0,0,1,0,0,2017-03-10T17:09:26.000Z,2017-03-10T17:09:27.000Z,inist.osug,jbru,"Discharge/Flow,Surface Water,Turbidity,Conductivity,Stage Height,Water Temperature,Suspended Solids,WATER LEVEL GAUGES,Ground networks","[{'subject': 'Discharge/Flow', 'subjectScheme': 'main'}, {'subject': 'Surface Water', 'subjectScheme': 'main'}, {'subject': 'Turbidity', 'subjectScheme': 'main'}, {'subject': 'Conductivity', 'subjectScheme': 'main'}, {'subject': 'Stage Height', 'subjectScheme': 'main'}, {'subject': 'Water Temperature', 'subjectScheme': 'main'}, {'subject': 'Suspended Solids', 'subjectScheme': 'main'}, {'subject': 'WATER LEVEL GAUGES', 'subjectScheme': 'main'}, {'subject': 'Ground networks', 'subjectScheme': 'main'}]",,"['CSV', 'ESRI Grid', 'NETCDF']"
-10.17178/ohmcv.dsd.mre.12-16.1,"DSD network, Mont-Redon",CNRS - OSUG - OREME,2011,en,Dataset,"Data access and use are ruled by the OHMCV data policy.,The following acknowledging sentence should appear in publications using OHMCV data and products: ""OHMCV is funded by the Institut National des Sciences de l’Univers (INSU/CNRS) and the Observatoire des Sciences de l’Univers de Grenoble (OSUG / Université Grenoble Alpes)â€.",This dataset is part of the Cevennesâ€Vivarais Mediterranean Hydrometeorological Observatory (OHMCV),mds,True,findable,0,0,2,0,0,2017-10-17T13:24:16.000Z,2017-10-17T13:24:16.000Z,inist.osug,jbru,"Atmospheric conditions,Precipitation,Precipitation Rate,Droplet Size,DISDROMETERS,Ground networks,Hydrometeorological sites,Fixed Observation Stations","[{'subject': 'Atmospheric conditions', 'subjectScheme': 'main'}, {'subject': 'Precipitation', 'subjectScheme': 'main'}, {'subject': 'Precipitation Rate', 'subjectScheme': 'main'}, {'subject': 'Droplet Size', 'subjectScheme': 'main'}, {'subject': 'DISDROMETERS', 'subjectScheme': 'main'}, {'subject': 'Ground networks', 'subjectScheme': 'main'}, {'subject': 'Hydrometeorological sites', 'subjectScheme': 'main'}, {'subject': 'Fixed Observation Stations', 'subjectScheme': 'main'}]",,['NETCDF']
-10.17178/emaa_a-(13c)h3oh_rotation_6b79e149,Rotation excitation of A-[13C]H3OH by ortho-H2 and para-H2 collisions,"UGA, CNRS, CNRS-INSU, OSUG",2023,en,Dataset,"Please acknowledge the use of EMAA Database by citing the original articles in which the data were published (BibTeX format available), and adding the following sentence in your publication:
-This research has made use of spectroscopic and collisional data from the EMAA database (https://emaa.osug.fr). EMAA is supported by the Observatoire des Sciences de l'Univers de Grenoble (OSUG),Creative Commons Attribution 4.0 International,Data access and use are ruled by the EMAA data policy.",19 rotation energy levels / 40 radiative transitions / 165 collisional transitions for para-H2 (20 temperatures in the range 10-200K) / 171 collisional transitions for ortho-H2 (20 temperatures in the range 10-200K),mds,True,findable,0,0,0,0,0,2023-12-07T15:50:30.000Z,2023-12-07T15:50:31.000Z,inist.osug,jbru,"target A-[13C]H3OH,excitationType Rotation,collisional excitation,collider.0 para-H2,collider.1 ortho-H2,astrophysics,interstellar medium,comets,circumstellar medium,gas,microwave spectroscopy,infrared spectroscopy,rotational excitation,rovibrational excitation,vibrational excitation,electronic excitation,collisional rate coefficients,fine structure,hyperfine structure","[{'subject': 'target A-[13C]H3OH', 'subjectScheme': 'main'}, {'subject': 'excitationType Rotation', 'subjectScheme': 'main'}, {'subject': 'collisional excitation', 'subjectScheme': 'main'}, {'subject': 'collider.0 para-H2', 'subjectScheme': 'var'}, {'subject': 'collider.1 ortho-H2', 'subjectScheme': 'var'}, {'subject': 'astrophysics', 'subjectScheme': 'var'}, {'subject': 'interstellar medium', 'subjectScheme': 'var'}, {'subject': 'comets', 'subjectScheme': 'var'}, {'subject': 'circumstellar medium', 'subjectScheme': 'var'}, {'subject': 'gas', 'subjectScheme': 'var'}, {'subject': 'microwave spectroscopy', 'subjectScheme': 'var'}, {'subject': 'infrared spectroscopy', 'subjectScheme': 'var'}, {'subject': 'rotational excitation', 'subjectScheme': 'var'}, {'subject': 'rovibrational excitation', 'subjectScheme': 'var'}, {'subject': 'vibrational excitation', 'subjectScheme': 'var'}, {'subject': 'electronic excitation', 'subjectScheme': 'var'}, {'subject': 'collisional rate coefficients', 'subjectScheme': 'var'}, {'subject': 'fine structure', 'subjectScheme': 'var'}, {'subject': 'hyperfine structure', 'subjectScheme': 'var'}]",,['Radex']
-10.17178/amma-catch.cl.rain_g,"Precipitation dataset (5 minutes rainfall), over the Hombori site (2500 km2 ), Mali","IRD, CNRS-INSU, OSUG, OMP, OREME",2005,en,Dataset,"Creative Commons Attribution 4.0 International,Data access and use are ruled by the AMMA-CATCH data policy.,For any publication using AMMA-CATCH data, authors are asked to:
+A design company receives its clients to discuss/contribute/co-design together. They develop new graphical layout options for the packaging of a tomato sauce product using an ICT application based on Spatial Augmented Reality, which allows for a real-time modification. Language: English.",mds,True,findable,0,0,0,0,0,2018-10-31T09:52:51.000Z,2018-10-31T09:52:52.000Z,cern.zenodo,cern,"SPARK,H2020,Collaborative design,Co-design,Spatial Augmented Reality,Augmented Reality,Mixed prototype,Creativity,ICT","[{'subject': 'SPARK'}, {'subject': 'H2020'}, {'subject': 'Collaborative design'}, {'subject': 'Co-design'}, {'subject': 'Spatial Augmented Reality'}, {'subject': 'Augmented Reality'}, {'subject': 'Mixed prototype'}, {'subject': 'Creativity'}, {'subject': 'ICT'}]",,
+10.5281/zenodo.8037856,konstantinos-p/europepolls: Europepolls first release.,Zenodo,2023,,Software,Other (Open),A dataset of country-level historical voting-intention polling data for the European Union (+Switzerland and UK).,mds,True,findable,0,0,0,1,0,2023-06-14T12:34:43.000Z,2023-06-14T12:34:43.000Z,cern.zenodo,cern,,,,
+10.5281/zenodo.5842110,"InSAR Displacements in the Delaware Basin, TX",Zenodo,2021,en,Dataset,"Creative Commons Attribution 4.0 International,Open Access","These data are the vertical and east-west horizontal cumulative displacements in the Delaware Basin, between 2015-03-05 through 2020-03-31. They are presented in ""Shallow Aseismic Slip in the Delaware Basin Determined by Sentinel-1 InSAR"", submitted to <em>JGR: Solid Earth</em> on September 1st, 2021. The format of both files is [longitude, latitude, X, Y, displacement (cm)]. For vertical displacements, negative values indicate subsidence and positive values indicate uplift. For horizontal displacement, negative values indicate westward displacement, and positive values indicate eastward displacement. Version 2 (_v2) were updated Dec. 28th, 2021.",mds,True,findable,0,0,0,1,0,2022-01-12T19:37:46.000Z,2022-01-12T19:37:47.000Z,cern.zenodo,cern,"InSAR,Delaware Basin,induced seismicity,aseismic slip","[{'subject': 'InSAR'}, {'subject': 'Delaware Basin'}, {'subject': 'induced seismicity'}, {'subject': 'aseismic slip'}]",,
+10.5281/zenodo.6390598,PB2007 French acoustic-articulatory speech database,Zenodo,2022,fr,Dataset,"Creative Commons Attribution 4.0 International,Open Access","<strong>PB2007 acoustic-articulatory speech dataset</strong> Badin, P.,Bailly G., Ben Youssef A., Elisei F., Savariaux C., Hueber T. <br> Univ. Grenoble Alpes, CNRS, Grenoble INP, GIPSA-lab, 38000 Grenoble, France<br> <br> LICENSE:<br> ========<br> This dataset is made available under the Creative Commons Attribution Share-Alike (CC-BY-SA) license <br> CREDITS - ATTRIBUTION:<br> ======================<br> If using this dataset, please cite one of the following studies (all of them exploit this dataset) <br> - Ben Youssef, A., Badin, P., Bailly, G. & Heracleous, P. (2009). Acoustic-to-articulatory inversion using speech recognition and trajectory formation based on phoneme hidden Markov models. In Interspeech 2009, vol., pp. 2255-2258. Brighton, UK.<br> - Ben Youssef, A., Badin, P. & Bailly, G. (2010). Can tongue be recovered from face? The answer of data-driven statistical models. In Interspeech 2010 (11th Annual Conference of the International Speech Communication Association) (T. Kobayashi, K. Hirose & S. Nakamura, editors), vol., pp. 2002-2005. Makuhari, Japan.<br> - Hueber T., Bailly G., Badin P., Elisei F., ""Speaker Adaptation of an Acoustic-Articulatory Inversion Model<br> using Cascaded Gaussian Mixture Regressions"", Proceedings of Interspeech, Lyon, France, 2013, pp. 2753-2757. DATA FILES DESCRIPTION:<br> =======================<br> /_seq/: <br> Electro-magnetic Articulography data, recorded at 100Hz<br> Sensors :<br> PAR01 : LT_x (lower incisor, x coordinate)<br> PAR02 : tip_x (tongue tip, x coordinate)<br> PAR03 : mid_x (tongue dorsum, x coordinate)<br> PAR04 : bck_x (tongue back, x coordinate)<br> PAR05 : LL_vis_x (lower lips, x coordinate)<br> PAR06 : UL_vis_x (upper lips, x coordinate)<br> PAR07 : LT_z (lower incisor, z coordinate)<br> PAR08 : tip_z (tongue tip, z coordinate)<br> PAR09 : mid_z (tongue dorsum, z coordinate)<br> PAR10 : bck_z (tongue back, z coordinate)<br> PAR11 : LL_vis_z (lower lips, z coordinate)<br> PAR12 : UL_vis_z (upper lips, z coordinate) /_wav16: <br> subject audio signal, synchronized with the EMA data<br> Format: PCA wav, 16kHz, 16bits /_lab: phonetic segmentation using the following set<br> __ (long pause), _ (short pause), a, e^ (as in ""lait""), e (as in ""blé""), i, y (as in ""voiture""), u (as in ""loup""), o^ (as in ""pomme""),x (as in ""pneu""), x^ (as in ""coeur""), a~ (as in ""flan""), e~ (as in ""in""), x~ (as in ""un""), o~ (as in ""mon""), p, t, k, f, s, s^ (as in ""CHat""), b, d, g, v, z, z^ (as in ""les Gens""), m, n, r, l, w, h, j, o, q (schwa)<br>",mds,True,findable,0,0,0,0,0,2022-03-28T14:22:53.000Z,2022-03-28T14:22:54.000Z,cern.zenodo,cern,"speech, articulatory, EMA","[{'subject': 'speech, articulatory, EMA'}]",,
+10.48537/hal-03220289,Choreographing Aesthetic Atmospheres,Reseau International Ambiances,2020,en,Text,Creative Commons Attribution Non Commercial No Derivatives 2.0 Generic,"My design and research practice explore our relationship to air and how design- ing with atmospheric phenomena can consti- tute a new design practice: an Aesthetics of Air. Whilst Sumartojo & Pink (2018) contend that “atmospheres themselves cannot be designed,†I put forth that we can design or ‘choreograph’ the conditions from which atmospheres arise. I am interested in our experience of air in lived space and how atmospheric encounters can be shaped by choreographing the complex, transient and dynamic matrix of breezes, scents, moisture, radiant light, dappled shade, textures and sounds. In this paper I will expand on these ideas and my practice in designing ‘with’ phenomena through describing the process of developing the atmospheric installation ‘Outside_In’.",mds,True,findable,0,0,0,0,0,2021-06-17T20:45:59.000Z,2021-06-17T20:46:00.000Z,jbru.aau,jbru,"Air,Aesthetics,Atmosphere,Phenomena,Design,Ambiance,Microclimates","[{'lang': 'eng', 'subject': 'Air'}, {'lang': 'eng', 'subject': 'Aesthetics'}, {'lang': 'eng', 'subject': 'Atmosphere'}, {'lang': 'eng', 'subject': 'Phenomena'}, {'lang': 'eng', 'subject': 'Design'}, {'lang': 'eng', 'subject': 'Ambiance'}, {'lang': 'eng', 'subject': 'Microclimates'}]",['6 pages'],['application/pdf']
+10.17178/amma-catch.mali,"AMMA-CATCH observatory: Gourma mesoscale site (30 000 km2) in the Sahelian pastoral zone, Mali","IRD, CNRS-INSU, OSUG, OMP, OREME",2003,en,Dataset,"Creative Commons Attribution 4.0 International,Data access and use are ruled by the AMMA-CATCH data policy.,For any publication using AMMA-CATCH data, authors are asked to:
Mandatory: cite the reference article and the DOI of the observatory
@@ -3779,33 +3674,38 @@ Mandatory: cite the reference article and the DOI of the observatory
Optional: cite the DOI of each dataset used.
-Co-authorship: depending on the contribution of the data to the scientific results obtained, the authors should either propose co-authorship to the data providers or at least acknowledge their contribution.","Documentation of rainfall in sahelian and saharo-sahelian zones. The aim is to characterize the spatial and temporal variability of rainfall within a densified zone of approximately 0°7 by 0°7 degrees within the Gourma meso-scale site. Data will be used in modelling and assimilation activities, as well as for validation of satellite products.",mds,True,findable,0,0,1,0,0,2018-03-16T15:37:13.000Z,2018-03-16T15:37:13.000Z,inist.osug,jbru,"Rainfall, precipitation, tropical convection,Sahelian/Saharan climate,Precipitation Amount (previous hour),Precipitation Amount (previous 24 hours),Precipitation Amount (previous 5 minutes)","[{'subject': 'Rainfall, precipitation, tropical convection', 'subjectScheme': 'main'}, {'subject': 'Sahelian/Saharan climate', 'subjectScheme': 'main'}, {'subject': 'Precipitation Amount (previous hour)', 'subjectScheme': 'var'}, {'subject': 'Precipitation Amount (previous 24 hours)', 'subjectScheme': 'var'}, {'subject': 'Precipitation Amount (previous 5 minutes)', 'subjectScheme': 'var'}]",,"['CSV', 'NETCDF', 'O&M 1.0']"
-10.17178/cryobsclim.cdp.2018.snowprofile,"Col de Porte, Snow Profile",CNRS - OSUG - Meteo France,2018,en,Dataset,"Data access and use are ruled by the CRYOBS-CLIM data policy.,Always quote below citation to Lejeune et al. (2019) when using data.
- Lejeune, Y., Dumont, M., Panel J.-M., Lafaysse, M., Lapalus, P., Le Gac, E., Lesaffre, B. and Morin, S., 57 years (1960-2017) of snow and meteorological observations from a mid-altitude mountain site (Col de Porte, France, 1325 m alt.), Earth System Science Data, 11(2019), 71-88, https://doi.org/10.5194/essd-11-71-2019. The following acknowledging sentence should appear in publications using Cryobs-Clim-CDP data and products: ""Cryobs-Clim Col de Porte is funded by Meteo France, the Institut National des Sciences de l’Univers (INSU/CNRS), and the Observatoire des Sciences de l’Univers de Grenoble (OSUG / Université Grenoble Alpes)â€. You are invited to contact the PI(s) or lead scientist for more information about the data and to include the acknowledgement sentence in any publication using the data.","This dataset is part of the Cryobs-Clim-CDP (CRYosphere, an OBServatory of the CLIMate – Col de Porte) observatory",mds,True,findable,0,0,1,0,0,2018-07-19T07:26:37.000Z,2018-07-19T07:27:38.000Z,inist.osug,jbru,snow profile,"[{'subject': 'snow profile', 'subjectScheme': 'main'}]",,['caaml']
-10.17178/emaa_e-(13c)h3oh_rotation_26e2c2d2,Rotation excitation of E-[13C]H3OH by ortho-H2 and para-H2 collisions,"UGA, CNRS, CNRS-INSU, OSUG",2023,en,Dataset,"Please acknowledge the use of EMAA Database by citing the original articles in which the data were published (BibTeX format available), and adding the following sentence in your publication:
-This research has made use of spectroscopic and collisional data from the EMAA database (https://emaa.osug.fr). EMAA is supported by the Observatoire des Sciences de l'Univers de Grenoble (OSUG),Creative Commons Attribution 4.0 International,Data access and use are ruled by the EMAA data policy.",13 rotation energy levels / 52 radiative transitions / 71 collisional transitions for para-H2 (20 temperatures in the range 10-200K) / 78 collisional transitions for ortho-H2 (20 temperatures in the range 10-200K),mds,True,findable,0,0,0,0,0,2023-12-07T15:50:55.000Z,2023-12-07T15:50:55.000Z,inist.osug,jbru,"target E-[13C]H3OH,excitationType Rotation,collisional excitation,collider.0 para-H2,collider.1 ortho-H2,astrophysics,interstellar medium,comets,circumstellar medium,gas,microwave spectroscopy,infrared spectroscopy,rotational excitation,rovibrational excitation,vibrational excitation,electronic excitation,collisional rate coefficients,fine structure,hyperfine structure","[{'subject': 'target E-[13C]H3OH', 'subjectScheme': 'main'}, {'subject': 'excitationType Rotation', 'subjectScheme': 'main'}, {'subject': 'collisional excitation', 'subjectScheme': 'main'}, {'subject': 'collider.0 para-H2', 'subjectScheme': 'var'}, {'subject': 'collider.1 ortho-H2', 'subjectScheme': 'var'}, {'subject': 'astrophysics', 'subjectScheme': 'var'}, {'subject': 'interstellar medium', 'subjectScheme': 'var'}, {'subject': 'comets', 'subjectScheme': 'var'}, {'subject': 'circumstellar medium', 'subjectScheme': 'var'}, {'subject': 'gas', 'subjectScheme': 'var'}, {'subject': 'microwave spectroscopy', 'subjectScheme': 'var'}, {'subject': 'infrared spectroscopy', 'subjectScheme': 'var'}, {'subject': 'rotational excitation', 'subjectScheme': 'var'}, {'subject': 'rovibrational excitation', 'subjectScheme': 'var'}, {'subject': 'vibrational excitation', 'subjectScheme': 'var'}, {'subject': 'electronic excitation', 'subjectScheme': 'var'}, {'subject': 'collisional rate coefficients', 'subjectScheme': 'var'}, {'subject': 'fine structure', 'subjectScheme': 'var'}, {'subject': 'hyperfine structure', 'subjectScheme': 'var'}]",,['Radex']
-10.17178/emaa_(36ar)h-plus_rotation_173ef621,Rotation excitation of [36Ar]H+ by H and electron collisions,"UGA, CNRS, CNRS-INSU, OSUG",2021,en,Dataset,"Please acknowledge the use of EMAA Database by citing the original articles in which the data were published (BibTeX format available), and adding the following sentence in your publication:
-This research has made use of spectroscopic and collisional data from the EMAA database (https://emaa.osug.fr). EMAA is supported by the Observatoire des Sciences de l'Univers de Grenoble (OSUG),Creative Commons Attribution 4.0 International,Data access and use are ruled by the EMAA data policy.",12 rotation energy levels / 11 radiative transitions / 66 collisional transitions for H (34 temperatures in the range 10-1000K) / 60 collisional transitions for electron (12 temperatures in the range 10-3000K),mds,True,findable,0,0,0,0,0,2021-11-18T13:34:30.000Z,2021-11-18T13:34:31.000Z,inist.osug,jbru,"target [36Ar]H+,excitationType Rotation,collisional excitation,collider.0 H,collider.1 electron,astrophysics,interstellar medium,comets,circumstellar medium,gas,microwave spectroscopy,infrared spectroscopy,rotational excitation,rovibrational excitation,vibrational excitation,electronic excitation,collisional rate coefficients,fine structure,hyperfine structure","[{'subject': 'target [36Ar]H+', 'subjectScheme': 'main'}, {'subject': 'excitationType Rotation', 'subjectScheme': 'main'}, {'subject': 'collisional excitation', 'subjectScheme': 'main'}, {'subject': 'collider.0 H', 'subjectScheme': 'var'}, {'subject': 'collider.1 electron', 'subjectScheme': 'var'}, {'subject': 'astrophysics', 'subjectScheme': 'var'}, {'subject': 'interstellar medium', 'subjectScheme': 'var'}, {'subject': 'comets', 'subjectScheme': 'var'}, {'subject': 'circumstellar medium', 'subjectScheme': 'var'}, {'subject': 'gas', 'subjectScheme': 'var'}, {'subject': 'microwave spectroscopy', 'subjectScheme': 'var'}, {'subject': 'infrared spectroscopy', 'subjectScheme': 'var'}, {'subject': 'rotational excitation', 'subjectScheme': 'var'}, {'subject': 'rovibrational excitation', 'subjectScheme': 'var'}, {'subject': 'vibrational excitation', 'subjectScheme': 'var'}, {'subject': 'electronic excitation', 'subjectScheme': 'var'}, {'subject': 'collisional rate coefficients', 'subjectScheme': 'var'}, {'subject': 'fine structure', 'subjectScheme': 'var'}, {'subject': 'hyperfine structure', 'subjectScheme': 'var'}]",,['Radex']
-10.17178/draixbleone_gal_rob_met_1420,Meteorological data at the Robine station of the Galabre watershed,IGE - CNRS - OSUG,2020,en,Dataset,"Creative Commons Attribution 4.0 International,The following acknowledging sentence should appear in publications using data and products from the Galabre watershed of the Draix Bleone Observatory: ""DRAIX BLEONE is funded by the Institut National des Sciences de l’Univers (INSU/CNRS) and the Observatoire des Sciences de l’Univers de Grenoble (OSUG / Université Grenoble Alpes)â€.,Always quote below citation to Legout et al. (submitted) when using these data. Legout C., Freche G., Biron R., Esteves M., Nord G, Navratil O., Uber M., Grangeon T., Hachgenei N., Boudevillain B. Voiron C., Spadini L. A critical zone observatory dedicated to suspended sediment transport: the meso-scale Galabre catchment (southern French Alps), submitted to Hydrological Processes.",This meteorological data set is part of the DRAIXBLEONE_GAL observatory.,mds,True,findable,0,0,0,0,0,2020-09-15T15:58:45.000Z,2020-09-15T15:58:46.000Z,inist.osug,jbru,"Mediterranean mountainous climate,Precipitation,Meteorology","[{'subject': 'Mediterranean mountainous climate', 'subjectScheme': 'main'}, {'subject': 'Precipitation', 'subjectScheme': 'var'}, {'subject': 'Meteorology', 'subjectScheme': 'var'}]",,['CSV']
-10.17178/gnss.products.japan_gipsyx.kinematic.2011,GNSS kinematic position solutions in Japan,"CNRS, OSUG, ISTERRE",2022,en,Dataset,"License: CC BY-NC-ND 4.0,Data access and use are ruled by the OSUG data policy.,The following acknowledging sentence should appear in publications using ISTerre GNSS products: ""GNSS products are calculated and provided by the Institut of Sciences de la Terre (ISTerre), belonging to the Institut National des Sciences de l’Univers (INSU/CNRS) and the Observatoire des Sciences de l’Univers de Grenoble (OSUG / Université Grenoble Alpes)"".
-You are invited to contact the PI(s) or lead scientist for more information about the data and to include the acknowledgement sentence in any publication using the data.","This dataset includes solutions processed by ISTerre for 352 Japanese GNSS stations. These products are 30-seconds kinematic position time series (North, East and Vertical), in the ITRF14 reference frame, calculated from RINEX files using the PPP strategy with GIPSYX software.",mds,True,findable,0,0,1,0,0,2022-05-20T15:30:49.000Z,2022-05-20T15:30:52.000Z,inist.osug,jbru,"GNSS products,GNSS data analysis,Time serie positioning","[{'subject': 'GNSS products', 'subjectScheme': 'main'}, {'subject': 'GNSS data analysis', 'subjectScheme': 'var'}, {'subject': 'Time serie positioning', 'subjectScheme': 'var'}]",,"['pos', 'PBO']"
-10.17178/emaa_e-ch3(18o)h_rotation_da227d5c,Rotation excitation of E-CH3[18O]H by ortho-H2 and para-H2 collisions,"UGA, CNRS, CNRS-INSU, OSUG",2023,en,Dataset,"Please acknowledge the use of EMAA Database by citing the original articles in which the data were published (BibTeX format available), and adding the following sentence in your publication:
-This research has made use of spectroscopic and collisional data from the EMAA database (https://emaa.osug.fr). EMAA is supported by the Observatoire des Sciences de l'Univers de Grenoble (OSUG),Creative Commons Attribution 4.0 International,Data access and use are ruled by the EMAA data policy.",13 rotation energy levels / 52 radiative transitions / 71 collisional transitions for para-H2 (20 temperatures in the range 10-200K) / 78 collisional transitions for ortho-H2 (20 temperatures in the range 10-200K),mds,True,findable,0,0,0,0,0,2023-12-07T15:50:56.000Z,2023-12-07T15:50:56.000Z,inist.osug,jbru,"target E-CH3[18O]H,excitationType Rotation,collisional excitation,collider.0 para-H2,collider.1 ortho-H2,astrophysics,interstellar medium,comets,circumstellar medium,gas,microwave spectroscopy,infrared spectroscopy,rotational excitation,rovibrational excitation,vibrational excitation,electronic excitation,collisional rate coefficients,fine structure,hyperfine structure","[{'subject': 'target E-CH3[18O]H', 'subjectScheme': 'main'}, {'subject': 'excitationType Rotation', 'subjectScheme': 'main'}, {'subject': 'collisional excitation', 'subjectScheme': 'main'}, {'subject': 'collider.0 para-H2', 'subjectScheme': 'var'}, {'subject': 'collider.1 ortho-H2', 'subjectScheme': 'var'}, {'subject': 'astrophysics', 'subjectScheme': 'var'}, {'subject': 'interstellar medium', 'subjectScheme': 'var'}, {'subject': 'comets', 'subjectScheme': 'var'}, {'subject': 'circumstellar medium', 'subjectScheme': 'var'}, {'subject': 'gas', 'subjectScheme': 'var'}, {'subject': 'microwave spectroscopy', 'subjectScheme': 'var'}, {'subject': 'infrared spectroscopy', 'subjectScheme': 'var'}, {'subject': 'rotational excitation', 'subjectScheme': 'var'}, {'subject': 'rovibrational excitation', 'subjectScheme': 'var'}, {'subject': 'vibrational excitation', 'subjectScheme': 'var'}, {'subject': 'electronic excitation', 'subjectScheme': 'var'}, {'subject': 'collisional rate coefficients', 'subjectScheme': 'var'}, {'subject': 'fine structure', 'subjectScheme': 'var'}, {'subject': 'hyperfine structure', 'subjectScheme': 'var'}]",,['Radex']
-10.17178/emaa_c(18o)_rotation_a61158dd,"Rotation excitation of C[18O] by ortho-H2O, para-H2 and para-H2O collisions","UGA, CNRS, CNRS-INSU, OSUG",2021,en,Dataset,"Please acknowledge the use of EMAA Database by citing the original articles in which the data were published (BibTeX format available), and adding the following sentence in your publication:
-This research has made use of spectroscopic and collisional data from the EMAA database (https://emaa.osug.fr). EMAA is supported by the Observatoire des Sciences de l'Univers de Grenoble (OSUG),Creative Commons Attribution 4.0 International,Data access and use are ruled by the EMAA data policy.",11 rotation energy levels / 10 radiative transitions / 10 collisional transitions for para-H2 (9 temperatures in the range 2-40K) / 55 collisional transitions for para-H2O (20 temperatures in the range 5-100K) / 55 collisional transitions for ortho-H2O (20 temperatures in the range 5-100K),mds,True,findable,0,0,0,0,0,2022-02-07T11:24:11.000Z,2022-02-07T11:24:12.000Z,inist.osug,jbru,"target C[18O],excitationType Rotation,collisional excitation,collider.0 para-H2,collider.1 para-H2O,collider.2 ortho-H2O,astrophysics,interstellar medium,comets,circumstellar medium,gas,microwave spectroscopy,infrared spectroscopy,rotational excitation,rovibrational excitation,vibrational excitation,electronic excitation,collisional rate coefficients,fine structure,hyperfine structure","[{'subject': 'target C[18O]', 'subjectScheme': 'main'}, {'subject': 'excitationType Rotation', 'subjectScheme': 'main'}, {'subject': 'collisional excitation', 'subjectScheme': 'main'}, {'subject': 'collider.0 para-H2', 'subjectScheme': 'var'}, {'subject': 'collider.1 para-H2O', 'subjectScheme': 'var'}, {'subject': 'collider.2 ortho-H2O', 'subjectScheme': 'var'}, {'subject': 'astrophysics', 'subjectScheme': 'var'}, {'subject': 'interstellar medium', 'subjectScheme': 'var'}, {'subject': 'comets', 'subjectScheme': 'var'}, {'subject': 'circumstellar medium', 'subjectScheme': 'var'}, {'subject': 'gas', 'subjectScheme': 'var'}, {'subject': 'microwave spectroscopy', 'subjectScheme': 'var'}, {'subject': 'infrared spectroscopy', 'subjectScheme': 'var'}, {'subject': 'rotational excitation', 'subjectScheme': 'var'}, {'subject': 'rovibrational excitation', 'subjectScheme': 'var'}, {'subject': 'vibrational excitation', 'subjectScheme': 'var'}, {'subject': 'electronic excitation', 'subjectScheme': 'var'}, {'subject': 'collisional rate coefficients', 'subjectScheme': 'var'}, {'subject': 'fine structure', 'subjectScheme': 'var'}, {'subject': 'hyperfine structure', 'subjectScheme': 'var'}]",,['Radex']
-10.17178/emaa_dnc_rotation_65a4bdbe,"Rotation excitation of DNC by electron, ortho-H2 and para-H2 collisions","UGA, CNRS, CNRS-INSU, OSUG",2021,en,Dataset,"Please acknowledge the use of EMAA Database by citing the original articles in which the data were published (BibTeX format available), and adding the following sentence in your publication:
-This research has made use of spectroscopic and collisional data from the EMAA database (https://emaa.osug.fr). EMAA is supported by the Observatoire des Sciences de l'Univers de Grenoble (OSUG),Creative Commons Attribution 4.0 International,Data access and use are ruled by the EMAA data policy.",17 rotation energy levels / 16 radiative transitions / 136 collisional transitions for para-H2 (12 temperatures in the range 5-500K) / 136 collisional transitions for ortho-H2 (12 temperatures in the range 5-500K) / 36 collisional transitions for electron (10 temperatures in the range 10-1000K),mds,True,findable,0,0,0,0,0,2022-02-07T11:24:30.000Z,2022-02-07T11:24:31.000Z,inist.osug,jbru,"target DNC,excitationType Rotation,collisional excitation,collider.0 para-H2,collider.1 ortho-H2,collider.2 electron,astrophysics,interstellar medium,comets,circumstellar medium,gas,microwave spectroscopy,infrared spectroscopy,rotational excitation,rovibrational excitation,vibrational excitation,electronic excitation,collisional rate coefficients,fine structure,hyperfine structure","[{'subject': 'target DNC', 'subjectScheme': 'main'}, {'subject': 'excitationType Rotation', 'subjectScheme': 'main'}, {'subject': 'collisional excitation', 'subjectScheme': 'main'}, {'subject': 'collider.0 para-H2', 'subjectScheme': 'var'}, {'subject': 'collider.1 ortho-H2', 'subjectScheme': 'var'}, {'subject': 'collider.2 electron', 'subjectScheme': 'var'}, {'subject': 'astrophysics', 'subjectScheme': 'var'}, {'subject': 'interstellar medium', 'subjectScheme': 'var'}, {'subject': 'comets', 'subjectScheme': 'var'}, {'subject': 'circumstellar medium', 'subjectScheme': 'var'}, {'subject': 'gas', 'subjectScheme': 'var'}, {'subject': 'microwave spectroscopy', 'subjectScheme': 'var'}, {'subject': 'infrared spectroscopy', 'subjectScheme': 'var'}, {'subject': 'rotational excitation', 'subjectScheme': 'var'}, {'subject': 'rovibrational excitation', 'subjectScheme': 'var'}, {'subject': 'vibrational excitation', 'subjectScheme': 'var'}, {'subject': 'electronic excitation', 'subjectScheme': 'var'}, {'subject': 'collisional rate coefficients', 'subjectScheme': 'var'}, {'subject': 'fine structure', 'subjectScheme': 'var'}, {'subject': 'hyperfine structure', 'subjectScheme': 'var'}]",,['Radex']
-10.17178/emaa_n2h-plus_hyperfine_e9d3c782,Hyperfine excitation of N2H+ by para-H2 collisions,"UGA, CNRS, CNRS-INSU, OSUG",2021,en,Dataset,"Please acknowledge the use of EMAA Database by citing the original articles in which the data were published (BibTeX format available), and adding the following sentence in your publication:
-This research has made use of spectroscopic and collisional data from the EMAA database (https://emaa.osug.fr). EMAA is supported by the Observatoire des Sciences de l'Univers de Grenoble (OSUG),Creative Commons Attribution 4.0 International,Data access and use are ruled by the EMAA data policy.",64 hyperfine energy levels / 156 radiative transitions / 1946 collisional transitions for para-H2 (14 temperatures in the range 5-70K),mds,True,findable,0,0,0,0,0,2021-11-18T13:35:23.000Z,2021-11-18T13:35:24.000Z,inist.osug,jbru,"target N2H+,excitationType Hyperfine,collisional excitation,collider.0 para-H2,astrophysics,interstellar medium,comets,circumstellar medium,gas,microwave spectroscopy,infrared spectroscopy,rotational excitation,rovibrational excitation,vibrational excitation,electronic excitation,collisional rate coefficients,fine structure,hyperfine structure","[{'subject': 'target N2H+', 'subjectScheme': 'main'}, {'subject': 'excitationType Hyperfine', 'subjectScheme': 'main'}, {'subject': 'collisional excitation', 'subjectScheme': 'main'}, {'subject': 'collider.0 para-H2', 'subjectScheme': 'var'}, {'subject': 'astrophysics', 'subjectScheme': 'var'}, {'subject': 'interstellar medium', 'subjectScheme': 'var'}, {'subject': 'comets', 'subjectScheme': 'var'}, {'subject': 'circumstellar medium', 'subjectScheme': 'var'}, {'subject': 'gas', 'subjectScheme': 'var'}, {'subject': 'microwave spectroscopy', 'subjectScheme': 'var'}, {'subject': 'infrared spectroscopy', 'subjectScheme': 'var'}, {'subject': 'rotational excitation', 'subjectScheme': 'var'}, {'subject': 'rovibrational excitation', 'subjectScheme': 'var'}, {'subject': 'vibrational excitation', 'subjectScheme': 'var'}, {'subject': 'electronic excitation', 'subjectScheme': 'var'}, {'subject': 'collisional rate coefficients', 'subjectScheme': 'var'}, {'subject': 'fine structure', 'subjectScheme': 'var'}, {'subject': 'hyperfine structure', 'subjectScheme': 'var'}]",,['Radex']
-10.17178/emaa_hc(15n)_rotation_0d5ef109,"Rotation excitation of HC[15N] by He, electron, ortho-H2 and para-H2 collisions","UGA, CNRS, CNRS-INSU, OSUG",2021,en,Dataset,"Please acknowledge the use of EMAA Database by citing the original articles in which the data were published (BibTeX format available), and adding the following sentence in your publication:
-This research has made use of spectroscopic and collisional data from the EMAA database (https://emaa.osug.fr). EMAA is supported by the Observatoire des Sciences de l'Univers de Grenoble (OSUG),Creative Commons Attribution 4.0 International,Data access and use are ruled by the EMAA data policy.",22 rotation energy levels / 21 radiative transitions / 36 collisional transitions for electron (12 temperatures in the range 10-1000K) / 231 collisional transitions for ortho-H2 (12 temperatures in the range 5-500K) / 231 collisional transitions for para-H2 (12 temperatures in the range 5-500K) / 231 collisional transitions for He (25 temperatures in the range 5-500K),mds,True,findable,0,0,0,0,0,2021-11-18T13:34:56.000Z,2021-11-18T13:34:57.000Z,inist.osug,jbru,"target HC[15N],excitationType Rotation,collisional excitation,collider.0 electron,collider.1 ortho-H2,collider.2 para-H2,collider.3 He,astrophysics,interstellar medium,comets,circumstellar medium,gas,microwave spectroscopy,infrared spectroscopy,rotational excitation,rovibrational excitation,vibrational excitation,electronic excitation,collisional rate coefficients,fine structure,hyperfine structure","[{'subject': 'target HC[15N]', 'subjectScheme': 'main'}, {'subject': 'excitationType Rotation', 'subjectScheme': 'main'}, {'subject': 'collisional excitation', 'subjectScheme': 'main'}, {'subject': 'collider.0 electron', 'subjectScheme': 'var'}, {'subject': 'collider.1 ortho-H2', 'subjectScheme': 'var'}, {'subject': 'collider.2 para-H2', 'subjectScheme': 'var'}, {'subject': 'collider.3 He', 'subjectScheme': 'var'}, {'subject': 'astrophysics', 'subjectScheme': 'var'}, {'subject': 'interstellar medium', 'subjectScheme': 'var'}, {'subject': 'comets', 'subjectScheme': 'var'}, {'subject': 'circumstellar medium', 'subjectScheme': 'var'}, {'subject': 'gas', 'subjectScheme': 'var'}, {'subject': 'microwave spectroscopy', 'subjectScheme': 'var'}, {'subject': 'infrared spectroscopy', 'subjectScheme': 'var'}, {'subject': 'rotational excitation', 'subjectScheme': 'var'}, {'subject': 'rovibrational excitation', 'subjectScheme': 'var'}, {'subject': 'vibrational excitation', 'subjectScheme': 'var'}, {'subject': 'electronic excitation', 'subjectScheme': 'var'}, {'subject': 'collisional rate coefficients', 'subjectScheme': 'var'}, {'subject': 'fine structure', 'subjectScheme': 'var'}, {'subject': 'hyperfine structure', 'subjectScheme': 'var'}]",,['Radex']
-10.17178/emaa_c(17o)_hyperfine_0ecc62b5,Hyperfine excitation of C[17O] by ortho-H2 and para-H2 collisions,"UGA, CNRS, CNRS-INSU, OSUG",2023,en,Dataset,"Please acknowledge the use of EMAA Database by citing the original articles in which the data were published (BibTeX format available), and adding the following sentence in your publication:
-This research has made use of spectroscopic and collisional data from the EMAA database (https://emaa.osug.fr). EMAA is supported by the Observatoire des Sciences de l'Univers de Grenoble (OSUG),Creative Commons Attribution 4.0 International,Data access and use are ruled by the EMAA data policy.",75 hyperfine energy levels / 176 radiative transitions / 2775 collisional transitions for para-H2 (11 temperatures in the range 5-400K) / 2775 collisional transitions for ortho-H2 (11 temperatures in the range 5-400K),mds,True,findable,0,0,0,0,0,2023-12-07T15:50:37.000Z,2023-12-07T15:50:37.000Z,inist.osug,jbru,"target C[17O],excitationType Hyperfine,collisional excitation,collider.0 para-H2,collider.1 ortho-H2,astrophysics,interstellar medium,comets,circumstellar medium,gas,microwave spectroscopy,infrared spectroscopy,rotational excitation,rovibrational excitation,vibrational excitation,electronic excitation,collisional rate coefficients,fine structure,hyperfine structure","[{'subject': 'target C[17O]', 'subjectScheme': 'main'}, {'subject': 'excitationType Hyperfine', 'subjectScheme': 'main'}, {'subject': 'collisional excitation', 'subjectScheme': 'main'}, {'subject': 'collider.0 para-H2', 'subjectScheme': 'var'}, {'subject': 'collider.1 ortho-H2', 'subjectScheme': 'var'}, {'subject': 'astrophysics', 'subjectScheme': 'var'}, {'subject': 'interstellar medium', 'subjectScheme': 'var'}, {'subject': 'comets', 'subjectScheme': 'var'}, {'subject': 'circumstellar medium', 'subjectScheme': 'var'}, {'subject': 'gas', 'subjectScheme': 'var'}, {'subject': 'microwave spectroscopy', 'subjectScheme': 'var'}, {'subject': 'infrared spectroscopy', 'subjectScheme': 'var'}, {'subject': 'rotational excitation', 'subjectScheme': 'var'}, {'subject': 'rovibrational excitation', 'subjectScheme': 'var'}, {'subject': 'vibrational excitation', 'subjectScheme': 'var'}, {'subject': 'electronic excitation', 'subjectScheme': 'var'}, {'subject': 'collisional rate coefficients', 'subjectScheme': 'var'}, {'subject': 'fine structure', 'subjectScheme': 'var'}, {'subject': 'hyperfine structure', 'subjectScheme': 'var'}]",,['Radex']
-10.17178/emaa_ortho-h2(34s)_rotation_2f37d6f0,Rotation excitation of ortho-H2[34S] by ortho-H2 and para-H2 collisions,"UGA, CNRS, CNRS-INSU, OSUG",2022,en,Dataset,"Please acknowledge the use of EMAA Database by citing the original articles in which the data were published (BibTeX format available), and adding the following sentence in your publication:
-This research has made use of spectroscopic and collisional data from the EMAA database (https://emaa.osug.fr). EMAA is supported by the Observatoire des Sciences de l'Univers de Grenoble (OSUG),Creative Commons Attribution 4.0 International,Data access and use are ruled by the EMAA data policy.",19 rotation energy levels / 45 radiative transitions / 171 collisional transitions for ortho-H2 (10 temperatures in the range 5-500K) / 171 collisional transitions for para-H2 (10 temperatures in the range 5-500K),mds,True,findable,0,0,0,0,0,2023-12-07T15:51:42.000Z,2023-12-07T15:51:43.000Z,inist.osug,jbru,"target ortho-H2[34S],excitationType Rotation,collisional excitation,collider.0 ortho-H2,collider.1 para-H2,astrophysics,interstellar medium,comets,circumstellar medium,gas,microwave spectroscopy,infrared spectroscopy,rotational excitation,rovibrational excitation,vibrational excitation,electronic excitation,collisional rate coefficients,fine structure,hyperfine structure","[{'subject': 'target ortho-H2[34S]', 'subjectScheme': 'main'}, {'subject': 'excitationType Rotation', 'subjectScheme': 'main'}, {'subject': 'collisional excitation', 'subjectScheme': 'main'}, {'subject': 'collider.0 ortho-H2', 'subjectScheme': 'var'}, {'subject': 'collider.1 para-H2', 'subjectScheme': 'var'}, {'subject': 'astrophysics', 'subjectScheme': 'var'}, {'subject': 'interstellar medium', 'subjectScheme': 'var'}, {'subject': 'comets', 'subjectScheme': 'var'}, {'subject': 'circumstellar medium', 'subjectScheme': 'var'}, {'subject': 'gas', 'subjectScheme': 'var'}, {'subject': 'microwave spectroscopy', 'subjectScheme': 'var'}, {'subject': 'infrared spectroscopy', 'subjectScheme': 'var'}, {'subject': 'rotational excitation', 'subjectScheme': 'var'}, {'subject': 'rovibrational excitation', 'subjectScheme': 'var'}, {'subject': 'vibrational excitation', 'subjectScheme': 'var'}, {'subject': 'electronic excitation', 'subjectScheme': 'var'}, {'subject': 'collisional rate coefficients', 'subjectScheme': 'var'}, {'subject': 'fine structure', 'subjectScheme': 'var'}, {'subject': 'hyperfine structure', 'subjectScheme': 'var'}]",,['Radex']
-10.17178/gnss.products.epos,GNSS position and velocity solutions calculated in the framework of the EPOS initiative,"CNRS, OSUG, ISTERRE",2019,en,Dataset,"License: CC BY-NC-ND 4.0,Data access and use are ruled by the OSUG data policy.,The following acknowledging sentence should appear in publications using ISTerre GNSS products: ""GNSS products are calculated and provided by the Institut of Sciences de la Terre (ISTerre), belonging to the Institut National des Sciences de l’Univers (INSU/CNRS) and the Observatoire des Sciences de l’Univers de Grenoble (OSUG / Université Grenoble Alpes)"".
-You are invited to contact the PI(s) or lead scientist for more information about the data and to include the acknowledgement sentence in any publication using the data.","This dataset include all GNSS solutions processed by ISTerre in the framework of the EPOS initiative. These products are position time series (North, East and Vertical) and the horizontal and vertical velocity fields calculated from rinex files using the double difference method with GAMIT software.",mds,True,findable,0,0,0,0,0,2019-11-08T14:59:30.000Z,2019-11-08T14:59:31.000Z,inist.osug,jbru,"GNSS products,Velocity field,GNSS data analysis,Time serie positioning","[{'subject': 'GNSS products', 'subjectScheme': 'main'}, {'subject': 'Velocity field', 'subjectScheme': 'var'}, {'subject': 'GNSS data analysis', 'subjectScheme': 'var'}, {'subject': 'Time serie positioning', 'subjectScheme': 'var'}]",,"['sinex', 'pos', 'PBO']"
-10.17178/amma-catch.cl.rain_gt,"Precipitation dataset (5 minutes rainfall), within the Gourma site (30000 km2), Mali","IRD, CNRS-INSU, OSUG, OMP, OREME",2005,en,Dataset,"Creative Commons Attribution 4.0 International,Data access and use are ruled by the AMMA-CATCH data policy.,For any publication using AMMA-CATCH data, authors are asked to:
+Co-authorship: depending on the contribution of the data to the scientific results obtained, the authors should either propose co-authorship to the data providers or at least acknowledge their contribution.","The northernmost site of the AMMA-CATCH observatory, the Gourma meso-scale site in Mali, is located between 14.5°N and 17.5°N in the Sahelian zone sensu stricto stretching mainly from the loop of the Niger River southward down to the border region with Burkina-Faso. It also reaches the Saharo-Sahelian transition zone, north of the Niger River. The climate is semi-arid, daytime air temperatures are always high and annual rainfall amounts (from about 100 mm in the northern part to about 450 mm in the southern part of the site) exhibit strong inter-annual and seasonal variations. The region is mainly pastoral and agriculture fields cover less than 1% of the Gourma. Measurements sites are organized along the north–south rainfall transect on two main types of soil surfaces and hydrologic systems which reveal sharp gradients in soil moisture, vegetation cover and energy budget: a) sandy soils with high water infiltration rates and limited run-off, that support an open tree savannah; b) shallow soils characterized by a poor water infiltration and a sparse vegetation, with more concentrated run-off that ends in pools or low lands within structured endorheic watersheds. Seasonally inundated lowlands are covered by open Acacia forests. Since 2010, due to security issues, field measurements are restricted within the Hombori super-site.",mds,True,findable,0,0,1,0,0,2018-03-16T15:37:19.000Z,2018-03-16T15:37:19.000Z,inist.osug,jbru,"Sahelian climate,Precipitation,Surface water,Meteo,Flux,Radiation,Vegetation,Soils,Water quality / Water chemistry","[{'subject': 'Sahelian climate', 'subjectScheme': 'main'}, {'subject': 'Precipitation', 'subjectScheme': 'var'}, {'subject': 'Surface water', 'subjectScheme': 'var'}, {'subject': 'Meteo', 'subjectScheme': 'var'}, {'subject': 'Flux', 'subjectScheme': 'var'}, {'subject': 'Radiation', 'subjectScheme': 'var'}, {'subject': 'Vegetation', 'subjectScheme': 'var'}, {'subject': 'Soils', 'subjectScheme': 'var'}, {'subject': 'Water quality / Water chemistry', 'subjectScheme': 'var'}]",,"['CSV', 'NETCDF', 'O&M 1.0']"
+10.5281/zenodo.10205580,Proceedings of the 7th International Conference English Pronunciation: Issues and Practices (EPIP 7).[on line],Université Grenoble-Alpes,2023,en,ConferenceProceeding,Creative Commons Attribution 4.0 International,"This is the online, compiled proceedings from the 7th International Conference English Pronunciation: Issues and Practices (EPIP 7) which was held May 18–20, 2022 at Université Grenoble-Alpes, France. It includes 23 double-blind, peer-reviewed chapters written by authors from several countries, an introduction and a thematic index, and is licensed under the Creative Commons Attribution 4.0 International License. (To view a copy of the license, please go to: http://creativecommons.org/licenses/by/4.0/.)",api,True,findable,0,0,0,0,0,2023-11-25T08:33:50.000Z,2023-11-25T08:33:50.000Z,cern.zenodo,cern,"English pronunciation,second language pronunciation,language learning,language teaching,second language acquisition,phonetics,phonology,English pronunciation research","[{'subject': 'English pronunciation'}, {'subject': 'second language pronunciation'}, {'subject': 'language learning'}, {'subject': 'language teaching'}, {'subject': 'second language acquisition'}, {'subject': 'phonetics'}, {'subject': 'phonology'}, {'subject': 'English pronunciation research'}]",,
+10.5281/zenodo.10400476,Supplementary Data to journal publication on 'The Foundations of the Patagonian Icefields',Zenodo,2023,en,Dataset,Creative Commons Attribution 4.0 International,Partitioning and comparison of ice discharge estimates from the the Patagonian Icefields comprising associated uncertainties. For further details please refer to the notes in the individual files and/or consult the associated publication entitled 'The Foundations of the Patagonian Icefields' published in Communications Earth & Environment.,api,True,findable,0,0,0,0,0,2023-12-18T09:11:12.000Z,2023-12-18T09:11:13.000Z,cern.zenodo,cern,"Patagonia,icefield,discharge,thickness","[{'subject': 'Patagonia'}, {'subject': 'icefield'}, {'subject': 'discharge'}, {'subject': 'thickness'}]",,
+10.6084/m9.figshare.c.6950873.v1,Effects of a physical activity and endometriosis-based education program delivered by videoconference on endometriosis symptoms: the CRESCENDO program (inCRease physical Exercise and Sport to Combat ENDOmetriosis) protocol study,figshare,2023,,Collection,Creative Commons Attribution 4.0 International,"Abstract Background Endometriosis is a chronic disease characterized by growth of endometrial tissue outside the uterine cavity which could affect 200 million women (The term “woman†is used for convenience. Individuals gendered as man or as nonbinary can also suffer from this disease) worldwide. One of the most common symptoms of endometriosis is pelvic chronic pain associated with fatigue. This pain can cause psychological distress and interpersonal difficulties. As for several chronic diseases, adapted physical activity could help to manage the physical and psychological symptoms. The present study will investigate the effects of a videoconference-based adapted physical activity combined with endometriosis-based education program on quality of life, pain, fatigue, and other psychological symptoms and on physical activity. Methods This multicentric randomized-controlled trial will propose to 200 patients with endometriosis to be part of a trial which includes a 6-month program with 45 min to more than 120 min a week of adapted physical activity and/or 12 sessions of endometriosis-based education program. Effects of the program will be compared to a control group in which patients will be placed on a waiting list. All participants will be followed up 3 and 6 months after the intervention. None of the participants will be blind to the allocated trial arm. The primary outcome measure will be quality of life. Secondary outcomes will include endometriosis-related perceived pain, fatigue, physical activity, and also self-image, stereotypes, motivational variables, perceived support, kinesiophobia, basic psychological need related to physical activity, and physical activity barriers. General linear models and multilevel models will be performed. Predictor, moderator, and mediator variables will be investigated. Discussion This study is one of the first trials to test the effects of a combined adapted physical activity and education program for improving endometriosis symptoms and physical activity. The results will help to improve care for patients with endometriosis. Trial registration ClinicalTrials.gov, NCT05831735 . Date of registration: April 25, 2023",mds,True,findable,0,0,0,0,0,2023-11-28T04:40:38.000Z,2023-11-28T04:40:38.000Z,figshare.ars,otjm,"Medicine,Genetics,FOS: Biological sciences,Physiology,Science Policy,Sociology,FOS: Sociology,Biological Sciences not elsewhere classified","[{'subject': 'Medicine'}, {'subject': 'Genetics'}, {'subject': 'FOS: Biological sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Physiology'}, {'subject': 'Science Policy'}, {'subject': 'Sociology'}, {'subject': 'FOS: Sociology', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Biological Sciences not elsewhere classified'}]",,
+10.18709/perscido.2020.06.ds299,GreEn-ER - Dataset of electricity consumption,PerSciDo,2020,en,Dataset,,Dataset of electricity consumption of the GreEn-ER Building Located in Grenoble,fabrica,True,findable,0,0,0,0,0,2020-06-18T11:27:55.000Z,2020-06-18T11:27:55.000Z,inist.persyval,vcob,"Computer Science,Engineering","[{'lang': 'en', 'subject': 'Computer Science'}, {'lang': 'en', 'subject': 'Engineering'}]",['62.42 MB'],['csv']
+10.48537/hal-03220280,"Atmospheres + Design, Session 3 – Introduction",Reseau International Ambiances,2020,en,Text,Creative Commons Attribution Non Commercial No Derivatives 2.0 Generic,,mds,True,findable,0,0,0,0,0,2021-06-17T20:45:49.000Z,2021-06-17T20:45:50.000Z,jbru.aau,jbru,,,['4 pages'],['application/pdf']
+10.6084/m9.figshare.c.6593063,"Promoting HPV vaccination at school: a mixed methods study exploring knowledge, beliefs and attitudes of French school staff",figshare,2023,,Collection,Creative Commons Attribution 4.0 International,"Abstract Background HPV vaccine coverage in France remained lower than in most other high-income countries. Within the diagnostic phase of the national PrevHPV program, we carried out a mixed methods study among school staff to assess their knowledge, beliefs and attitudes regarding HPV, HPV vaccine and vaccination in general, and regarding schools’ role in promoting HPV vaccination. Methods Middle school nurses, teachers and support staff from four French regions participated between January 2020 and May 2021. We combined: (i) quantitative data from self-administered online questionnaires (n = 301), analysed using descriptive statistics; and (ii) qualitative data from three focus groups (n = 14), thematically analysed. Results Less than half of respondents knew that HPV can cause genital warts or oral cancers and only 18% that no antiviral treatment exists. Almost 90% of the respondents knew the existence of the HPV vaccine but some misunderstood why it is recommended before the first sexual relationships and for boys; 56% doubted about its safety, especially because they think there is not enough information on this topic. Schools nurses had greater knowledge than other professionals and claimed that educating pupils about HPV was fully part of their job roles; however, they rarely address this topic due to a lack of knowledge/tools. Professionals (school nurses, teachers and support staff) who participated in the focus groups were unfavourable to offering vaccination at school because of parents’ negative reactions, lack of resources, and perceived uselessness. Conclusions These results highlight the need to improve school staff knowledge on HPV. Parents should be involved in intervention promoting HPV vaccination to prevent their potential negative reactions, as feared by school staff. Several barriers should also be addressed before organizing school vaccination programs in France.",mds,True,findable,0,0,0,0,0,2023-04-13T14:58:33.000Z,2023-04-13T14:58:33.000Z,figshare.ars,otjm,"Medicine,Molecular Biology,Biotechnology,Sociology,FOS: Sociology,69999 Biological Sciences not elsewhere classified,FOS: Biological sciences,Cancer,Science Policy,110309 Infectious Diseases,FOS: Health sciences","[{'subject': 'Medicine'}, {'subject': 'Molecular Biology'}, {'subject': 'Biotechnology'}, {'subject': 'Sociology'}, {'subject': 'FOS: Sociology', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': '69999 Biological Sciences not elsewhere classified', 'schemeUri': 'http://www.abs.gov.au/ausstats/abs@.nsf/0/6BB427AB9696C225CA2574180004463E', 'subjectScheme': 'FOR'}, {'subject': 'FOS: Biological sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Cancer'}, {'subject': 'Science Policy'}, {'subject': '110309 Infectious Diseases', 'schemeUri': 'http://www.abs.gov.au/ausstats/abs@.nsf/0/6BB427AB9696C225CA2574180004463E', 'subjectScheme': 'FOR'}, {'subject': 'FOS: Health sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}]",,
+10.18709/perscido.2017.03.ds55,MobileRGBD,PerSciDo,2017,en,Dataset,Creative Commons Attribution Non Commercial Share Alike 4.0 International,"MobileRGBD is corpus dedicated to low level RGB-D algorithms benchmarking on mobile platform. We reversed the usual corpus recording paradigm. Our goal is to facilitate ground truth annotation and reproducibility of records among speed, trajectory and environmental variations. As we want to get rid of unpredictable human moves, we used dummies in order to play static users in the environment. Interest of dummies resides in the fact that they do not move between two recordings. It is possible to record the same robot move in order to evaluate performance of detection algorithms varying speed. This benchmark corpus is intended for ""low level"" RGB-D algorithm family like 3D-SLAM, body/skeleton tracking or face tracking using a mobile robot.",api,True,findable,0,0,0,1,0,2017-11-03T01:20:06.000Z,2017-11-03T01:20:06.000Z,inist.persyval,vcob,Computer Science,"[{'lang': 'en', 'subject': 'Computer Science'}]",['4 TB'],
+10.48380/7gdm-j630,"Key role of Fe-carbonates in natural H2 production? Evidence from the spatial link between barren ground depressions, gold deposit and H2 emissions",Deutsche Geologische Gesellschaft - Geologische Vereinigung e.V. (DGGV),2023,en,Text,,"<p>Even if measurements of high H<sub>2</sub> concentrations in continental rocks have significantly increased in the last decade, the origin of H<sub>2</sub> remains enigmatic in this context. Here we show that the localities in continental rocks where H<sub>2</sub>-rich gases have been reported are mainly located near orogenic gold deposits. Two types of geomorphological features were identified near orogenic gold deposits on satellite images. They consist in both barren ground depressions and high densities of self-organized, small (< 20 m in diameter) circular- and comet-shaped white spots in 32 and 7 localities, respectively. Fe-carbonates commonly occur near gold deposits since gold is transported in CO<sub>2</sub>-rich fluids. Thermodynamic modelling reveal here that they can further dissolve in the presence of aqueous fluid to produce magnetite and up to ~ 1 mole of H<sub>2 </sub>per kg of rock. This reaction leads to a volume decrease of ~ 50 %. Based on these findings, we propose that Fe-carbonate dissolution could be the primary source of H<sub>2</sub> in orogenic gold deposit areas, and involved in the formation of the geomorphological structures reported here. The association between H<sub>2</sub>-rich gas and ground depressions was also observed near other formations containing Fe-carbonates such as iron formations and carbonatites. This suggests that H<sub>2</sub> production through Fe-carbonate dissolution is not restricted to gold deposits. The global H<sub>2</sub> production in crustal rocks associated with Fe-carbonate alteration is estimated to 3 x 10<sup>5</sup> mol/yr.</p>
+",api,True,findable,0,0,0,0,0,2023-12-11T21:15:35.000Z,2023-12-11T21:15:35.000Z,mcdy.dohrmi,mcdy,,,,
+10.17178/zaa_soil_temp.orchamp,Long term monitoring of near surface soil temperature in the french Alps part of ORCHAMP observatory,UGA – OSUG – ORCHAMP Consortium,2021,en,Dataset,"Creative Commons Attribution 4.0 International,For any publication using ZAA data, depending on the contribution of the data to the scientific results obtained, data users should either propose co-authorship to the data providers (doi Project leaders) or at least acknowledge their contribution.
+The acknowledging sentence which should appear in publications using ZAA temp-soil data and products is in the readme file joint with the dataset","Monitoring of near-surface soil temperature in seasonaly snow-covered, mountain ecosystems located in the French Alps. Data are part the ORCHAMP project. Data include a GPS position, a date and time in UTC and a near-surface soil temperature (in °C) measured at 5 cm belowground using stand-alone temperature data logger. The first sensors were installed in 2016. Data collection is still in progress and new sites are added every year since 2016.",mds,True,findable,0,0,0,0,0,2021-07-13T13:43:45.000Z,2021-07-13T13:43:47.000Z,inist.osug,jbru,"microclimate,mountain climate,long-term monitoring,soil,root zone,cold zone ecosystem,soil temperature","[{'subject': 'microclimate', 'subjectScheme': 'main'}, {'subject': 'mountain climate', 'subjectScheme': 'main'}, {'subject': 'long-term monitoring', 'subjectScheme': 'main'}, {'subject': 'soil', 'subjectScheme': 'main'}, {'subject': 'root zone', 'subjectScheme': 'main'}, {'subject': 'cold zone ecosystem', 'subjectScheme': 'main'}, {'subject': 'soil temperature', 'subjectScheme': 'var'}]",,['CSV']
+10.23708/000521,Paprika - Preshine hydrology data sets in the Everest Region (Nepal). 2010-2018,Institut de recherche pour le développement (IRD); Nepalese Academy of Science and Technology (NAST); Centre National de la Recherche Scientifique (CNRS); Université de Montpellier (UM); Université Grenoble-Alpes (UGA); Meteo-France; Department of Hydrology and Meteorology – Nepal (DHM),2017,,Dataset,,"The successive Paprika (2010-2013) and Preshine (2014-2018) projects, funded by the Agence Nationale de la Recherche - France, have installed and managed several hydrometerological stations in the Upper Solukhumbu district (Nepal), including the West and South Faces of Mount Everest. Both projects aimed to improve knowledge on the water resources and their uses by local populations, the Paprika project being interested in regional scale and the Preshine project in local scale. The database provides discharge data for 5 hydrological basins: Imja Khola at Dingboche (area = 140.4 km², altitude = 4365m), Khumbu Khola at Pheriche (144.9 km², 4216m), Tauche Khola at Pangboche (4.387 km², 4000m), Dudh Koshi at Phakding (1217 km², 2620m) and Khari Khola at Kharikhola (18.2 km², 1981m). It also provides meteorological data (precipitation and air temperature) for 14 stations: Kharikhola (2078m), Mera School (2249m), Ballukop (altitude=2575m), Monastry Namdrolling (2561m), Phakding (2619m), Paramdingma (2869m), Monastry Pangom (3022m), Pangboche (3950m), Pheric he (4260m), Pyramid (5035m), Mera La (5350m), Changri Nup A (5360m), Naulek (5360), Changri Nup B (5472m), Mera Summit (6352m). The data are available at hourly and daily time steps under certain conditions with the signature of an agreement.",fabricaForm,True,findable,0,0,0,1,0,2017-11-09T10:55:30.000Z,2017-11-13T09:03:09.000Z,inist.ird,vcob,,,,
+10.48537/hal-03220374,"The Ambience of Tension, Socio-Spatial Negotiation as Urban Cultural Heritage",Reseau International Ambiances,2020,en,Text,Creative Commons Attribution Non Commercial No Derivatives 2.0 Generic,"Inherent in urbanity is tension, where the “weak tactics of the strong,†which lead the formal shaping of our cities are negotiated by the “strong tactics of the weak†(de Certeau, 1984), a reactive performance by its citizenry. An example is the citizen-led repurposing of urban form, where new mean- ing and function is assigned to a site, and in doing so, a distinct atmosphere produced. This paper explores how the socio-spatial response to this tension contributes a distinct element of a city atmosphere, while challenging the dichotomization of tangible and intangible cultural heritage. By drawing on ethnographic observation of the use of the steps in front of Flinders Street Station in Melbourne, this paper aims to conceptualize urban atmosphere as the result of this reactive process.",mds,True,findable,0,0,0,0,0,2021-06-17T16:47:22.000Z,2021-06-17T16:47:22.000Z,jbru.aau,jbru,"Cultural Heritage,Spatial Practice,Tension,Embodiment,Urban Culture","[{'lang': 'eng', 'subject': 'Cultural Heritage'}, {'lang': 'eng', 'subject': 'Spatial Practice'}, {'lang': 'eng', 'subject': 'Tension'}, {'lang': 'eng', 'subject': 'Embodiment'}, {'lang': 'eng', 'subject': 'Urban Culture'}]",['6 pages'],['application/pdf']
+10.48537/hal-03220244,A Multi-Dimensional Approach to Ambiance Change Triggers in an Urban Context,Reseau International Ambiances,2020,en,Text,Creative Commons Attribution Non Commercial No Derivatives 2.0 Generic,"This paper focuses on the issue of ambiance change indicators. A series of guided photo tours was carried out in Nantes (West of France). During this guided tour, inhabitants had to identify the changes in ambiance that they are experiencing. We aim to analyze the indicators that trigger a change of ambiance in an urban environment connected to the density or diversity dimensions that characterize the urban environment. The results show that three levels of understanding of urban environments can be identified: a first level shared by all, a second one shared by social groups, and a last one related to the individual. These three-levels of the inhabitants’ definition of urban ambiance anchors enable us to question participation in urban planning.",fabrica,True,findable,0,0,0,0,0,2021-06-16T16:16:26.000Z,2021-06-16T16:16:27.000Z,jbru.aau,jbru,"Urbanity,Ambiance Change Triggers,Guided commentary Tours","[{'lang': 'eng', 'subject': 'Urbanity'}, {'lang': 'eng', 'subject': 'Ambiance Change Triggers'}, {'lang': 'eng', 'subject': 'Guided commentary Tours'}]",['6 pages'],['application/pdf']
+10.17178/gnss.products.japan,GNSS position solutions in Japan,"CNRS, OSUG, ISTERRE",2019,en,Dataset,"License: CC BY-NC-ND 4.0,Data access and use are ruled by the OSUG data policy.,The following acknowledging sentence should appear in publications using ISTerre GNSS products: ""GNSS products are calculated and provided by the Institut of Sciences de la Terre (ISTerre), belonging to the Institut National des Sciences de l’Univers (INSU/CNRS) and the Observatoire des Sciences de l’Univers de Grenoble (OSUG / Université Grenoble Alpes)"".
+You are invited to contact the PI(s) or lead scientist for more information about the data and to include the acknowledgement sentence in any publication using the data.","This dataset includes solutions processed by ISTerre for all Japanese GNSS stations. These products are daily position time series (North, East and Vertical), in the ITRF14 reference frame, calculated from RINEX files using the double difference method with GAMIT software.",mds,True,findable,0,0,1,1,0,2021-03-30T12:07:55.000Z,2021-03-30T12:07:58.000Z,inist.osug,jbru,"GNSS products,GNSS data analysis,Time serie positioning","[{'subject': 'GNSS products', 'subjectScheme': 'main'}, {'subject': 'GNSS data analysis', 'subjectScheme': 'var'}, {'subject': 'Time serie positioning', 'subjectScheme': 'var'}]",,"['pos', 'PBO']"
+10.5281/zenodo.10050502,Data and code associated with the manuscript: Three centuries of snowpack decline at an Alpine pass revealed by cosmogenic paleothermometry and luminescence photochronometry,Zenodo,2023,,Dataset,GNU General Public License v3.0 or later,"This dataset contains the data as well as the Matlab codes needed to reproduce the results in the following manuscript:
+Guralnik, B., Tremblay, M.M., Phillips, M., Sellwood, E.L., Gribenski, N., Presl, R., Haberkorn, A., Sohbati, R., Shuster, D.L., Valla, P., Jain, M., Schindler, K., Hippe, K., and Wallinga, J., Three centuries of snowpack decline at an Alpine pass revealed by cosmogenic paleothermometry and luminescence photochronometry.Â
+This manuscript has been submitted to a peer-reviewed journal for publication. Briefly, this manuscript presents a novel combination of cosmogenic paleothermometery (quartz He-3) and luminescence photochronometery (feldspar IRSL), which jointly constrain the temperature and insolation history of three bedrock outcrops at the Gotthard Pass in Switzerland over the last ~15,000 years.Â
+The data include (1) measured concentrations of cosmogenic Be-10, C-14, and He-3 in quartz, (2) stepwise degassing experiments on proton irradiated quartz grains that are used to determine sample-specific He-3 diffusion kinetics, (3) best-fit multiple diffusion domain (MDD) models to the proton-induced He-3 diffusion experiments, (5) Natural radioactivity and calculated feldspar infrared stimulated luminescence (ISRL) dose rates, (6) feldspar ISRL depth profiles, and (7) high-resolution microrelief surface scans and analysis.
+The code includes scripts necessary to reproduce the figures and results associated with this manuscript. The code is organized by figure into subfolders, and any data needed to reproduce a figure should be included in that folder. All original codes are distributed under the GNU General Public License. Codes written by others and utilized here are redistributed under their original license according to the terms and conditions therein, and are provided in the folder 'external.'
+Any questions about original Matlab codes published here should be directed to Benny Guralnik, benny.guralnik@gmail.com.",api,True,findable,0,0,0,0,0,2023-10-28T22:58:22.000Z,2023-10-28T22:58:23.000Z,cern.zenodo,cern,"snow,cosmogenic,paleothermometry,luminescence,Alpine","[{'subject': 'snow'}, {'subject': 'cosmogenic'}, {'subject': 'paleothermometry'}, {'subject': 'luminescence'}, {'subject': 'Alpine'}]",,
+10.18709/perscido.2021.11.ds356,Planeterrella polarisation data,PerSCiDo,2021,en,Dataset,,"Data used and described in the following article, submitted to GRL: ""Laboratory experiments confirm the polarization of auroral emissions.""",fabrica,True,findable,0,0,0,0,0,2021-11-24T15:51:42.000Z,2021-11-24T15:51:42.000Z,inist.persyval,vcob,"Physics,Astrophysics and astronomy","[{'lang': 'en', 'subject': 'Physics'}, {'lang': 'en', 'subject': 'Astrophysics and astronomy'}]",['10Mo'],['CSV']
+10.17178/emaa_para-nh2d_hyperfine_f7886cfc,Hyperfine excitation of para-NH2D by para-H2 collisions,"UGA, CNRS, CNRS-INSU, OSUG",2021,en,Dataset,"Please acknowledge the use of EMAA Database by citing the original articles in which the data were published (BibTeX format available), and adding the following sentence in your publication:
+This research has made use of spectroscopic and collisional data from the EMAA database (https://emaa.osug.fr). EMAA is supported by the Observatoire des Sciences de l'Univers de Grenoble (OSUG),Creative Commons Attribution 4.0 International,Data access and use are ruled by the EMAA data policy.",25 hyperfine energy levels / 90 radiative transitions / 276 collisional transitions for para-H2 (7 temperatures in the range 5-50K),mds,True,findable,0,0,0,0,0,2021-11-17T14:02:11.000Z,2021-11-17T14:02:12.000Z,inist.osug,jbru,"target para-NH2D,excitationType Hyperfine,collisional excitation,collider.0 para-H2,astrophysics,interstellar medium,comets,circumstellar medium,gas,microwave spectroscopy,infrared spectroscopy,rotational excitation,rovibrational excitation,vibrational excitation,electronic excitation,collisional rate coefficients,fine structure,hyperfine structure","[{'subject': 'target para-NH2D', 'subjectScheme': 'main'}, {'subject': 'excitationType Hyperfine', 'subjectScheme': 'main'}, {'subject': 'collisional excitation', 'subjectScheme': 'main'}, {'subject': 'collider.0 para-H2', 'subjectScheme': 'var'}, {'subject': 'astrophysics', 'subjectScheme': 'var'}, {'subject': 'interstellar medium', 'subjectScheme': 'var'}, {'subject': 'comets', 'subjectScheme': 'var'}, {'subject': 'circumstellar medium', 'subjectScheme': 'var'}, {'subject': 'gas', 'subjectScheme': 'var'}, {'subject': 'microwave spectroscopy', 'subjectScheme': 'var'}, {'subject': 'infrared spectroscopy', 'subjectScheme': 'var'}, {'subject': 'rotational excitation', 'subjectScheme': 'var'}, {'subject': 'rovibrational excitation', 'subjectScheme': 'var'}, {'subject': 'vibrational excitation', 'subjectScheme': 'var'}, {'subject': 'electronic excitation', 'subjectScheme': 'var'}, {'subject': 'collisional rate coefficients', 'subjectScheme': 'var'}, {'subject': 'fine structure', 'subjectScheme': 'var'}, {'subject': 'hyperfine structure', 'subjectScheme': 'var'}]",,['Radex']
+10.17178/emaa_para-nh2d_rotation_bc5106bb,Rotation excitation of para-NH2D by ortho-H2 and para-H2 collisions,"UGA, CNRS, CNRS-INSU, OSUG",2021,en,Dataset,"Please acknowledge the use of EMAA Database by citing the original articles in which the data were published (BibTeX format available), and adding the following sentence in your publication:
+This research has made use of spectroscopic and collisional data from the EMAA database (https://emaa.osug.fr). EMAA is supported by the Observatoire des Sciences de l'Univers de Grenoble (OSUG),Creative Commons Attribution 4.0 International,Data access and use are ruled by the EMAA data policy.",79 rotation energy levels / 428 radiative transitions / 3081 collisional transitions for para-H2 (13 temperatures in the range 5-300K) / 3081 collisional transitions for ortho-H2 (13 temperatures in the range 5-300K),mds,True,findable,0,0,0,0,0,2021-11-17T14:02:14.000Z,2021-11-17T14:02:15.000Z,inist.osug,jbru,"target para-NH2D,excitationType Rotation,collisional excitation,collider.0 para-H2,collider.1 ortho-H2,astrophysics,interstellar medium,comets,circumstellar medium,gas,microwave spectroscopy,infrared spectroscopy,rotational excitation,rovibrational excitation,vibrational excitation,electronic excitation,collisional rate coefficients,fine structure,hyperfine structure","[{'subject': 'target para-NH2D', 'subjectScheme': 'main'}, {'subject': 'excitationType Rotation', 'subjectScheme': 'main'}, {'subject': 'collisional excitation', 'subjectScheme': 'main'}, {'subject': 'collider.0 para-H2', 'subjectScheme': 'var'}, {'subject': 'collider.1 ortho-H2', 'subjectScheme': 'var'}, {'subject': 'astrophysics', 'subjectScheme': 'var'}, {'subject': 'interstellar medium', 'subjectScheme': 'var'}, {'subject': 'comets', 'subjectScheme': 'var'}, {'subject': 'circumstellar medium', 'subjectScheme': 'var'}, {'subject': 'gas', 'subjectScheme': 'var'}, {'subject': 'microwave spectroscopy', 'subjectScheme': 'var'}, {'subject': 'infrared spectroscopy', 'subjectScheme': 'var'}, {'subject': 'rotational excitation', 'subjectScheme': 'var'}, {'subject': 'rovibrational excitation', 'subjectScheme': 'var'}, {'subject': 'vibrational excitation', 'subjectScheme': 'var'}, {'subject': 'electronic excitation', 'subjectScheme': 'var'}, {'subject': 'collisional rate coefficients', 'subjectScheme': 'var'}, {'subject': 'fine structure', 'subjectScheme': 'var'}, {'subject': 'hyperfine structure', 'subjectScheme': 'var'}]",,['Radex']
+10.5061/dryad.bnzs7h4ds,Gait behavioral and neuromuscular characterization in response to increasing working memory load while walking under optic flow perturbations in young adults,Dryad,2022,en,Dataset,Creative Commons Zero v1.0 Universal,"The precise role of cognitive control on optic flow processing during locomotion has rarely been investigated. Therefore, this study aimed to determine whether coping with unreliable visual inputs during walking requires attentional resources. Twenty-four healthy young adults walked on an instrumented treadmill in a virtual environment under two optic flow conditions: normal (NOF) and perturbed (POF, continuous mediolateral pseudo-random oscillations). Each condition was performed under single-task and dual-task conditions of increasing difficulty (1-, 2-, 3-back). In all conditions, subjective mental workload was estimated (raw NASA-TLX). For kinematic variables, mean, standard deviation, statistical persistence and step-to-step error correction were computed from gait time series in mediolateral and anteroposterior directions. For EMG variables of soleus and gluteus medius, the full width at half maximum and the variance ratio were calculated. Performance on N-back tasks was assessed using mean reaction time and d-prime. Cognitive performance was not affected by simultaneous walking in any optic flow condition. Gait variability was altered under POF compared to NOF, so that young adults sought to counteract those perturbations by adopting an effortful gait control strategy, independently of concurrent working memory (WM) load. Increasing WM load led changes first at the neuromuscular level, then at the behavioral level, with a prioritization of gait control in the mediolateral direction. Interestingly, dual-tasking lowered the effects of POF but in the anteroposterior direction only. These findings and their theoretical implications provide valuable insight into the complex interaction effects of cognitive and visual constraints on gait control during treadmill walking.",mds,True,findable,151,5,0,1,0,2022-08-15T15:25:42.000Z,2022-08-15T15:25:42.000Z,dryad.dryad,dryad,"gait,lateral balance,muscle activity,FOS: Health sciences,FOS: Health sciences,variability,Nonlinear dynamics,executive function","[{'subject': 'gait'}, {'subject': 'lateral balance'}, {'subject': 'muscle activity'}, {'subject': 'FOS: Health sciences', 'subjectScheme': 'fos'}, {'subject': 'FOS: Health sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'variability'}, {'subject': 'Nonlinear dynamics', 'schemeUri': 'https://github.com/PLOS/plos-thesaurus', 'subjectScheme': 'PLOS Subject Area Thesaurus'}, {'subject': 'executive function'}]",['2515659 bytes'],
+10.17178/ohmcv.smo.cla.13-14.1,"Soil moisture sensor network, Gazel and Claduègne catchments",CNRS - OSUG - OREME,2013,en,Dataset,"Data access and use are ruled by the OHMCV data policy.,The following acknowledging sentence should appear in publications using OHMCV data and products: ""OHMCV is funded by the Institut National des Sciences de l’Univers (INSU/CNRS) and the Observatoire des Sciences de l’Univers de Grenoble (OSUG / Université Grenoble Alpes)â€.","The nine sites were equipped with 5 sensors for continuous soil moisture measurements: two at about 10 cm, two at 20–25 cm and one at 30–50 cm depth, in order to document soil saturation. These 5 sensors are connected to the same datalogger and the observation frequency is 20 min.",mds,True,findable,0,0,1,0,0,2017-03-10T17:09:30.000Z,2017-03-10T17:09:30.000Z,inist.osug,jbru,"Soil Moisture/Water Content,SOIL MOISTURE PROBE,Ground networks","[{'subject': 'Soil Moisture/Water Content', 'subjectScheme': 'main'}, {'subject': 'SOIL MOISTURE PROBE', 'subjectScheme': 'main'}, {'subject': 'Ground networks', 'subjectScheme': 'main'}]",,"['CSV', 'ESRI Grid', 'NETCDF']"
+10.5061/dryad.jm63xsj7b,Data from: Tetra-EU 1.0: a species-level trophic meta-web of European tetrapods,Dryad,2020,en,Dataset,Creative Commons Zero v1.0 Universal,"Motivation Documenting potential interactions between species represents a major step to understand and predict the spatial and temporal structure of multi-trophic communities and their functioning. The metaweb concept summarises the potential trophic (and non-trophic) interactions in a given species-pool. As such, it generalises the regional species-pool of community ecology by incorporating the potential relationships between species from different trophic levels along with their functional characteristics. However, while this concept is theoretically very attractive, it has rarely been used to understand the structure of ecological network, mostly because of data availability. Here, we provide a continental scale, species-level, metaweb for all tetrapods (mammals, breeding birds, reptiles, amphibians) occurring in Europe and in the Northern Mediterranean basin. This metaweb is based on data extracted from scientific literature, including published papers, books, and grey literature. Main type of variable contained For each species considered, we built the network of potential 2-way trophic interactions. Spatial location and grain We considered all species occurring in the entire European sub-continent, from Macaronesia (including only the islands politically belonging to Spain and Portugal) to the Ural Mountains (west to east), and from Fennoscandia and UK islands to the Mediterranean (north to south). We included Turkey, geographically part of Asia, to provide a complete picture of the north-eastern Mediterranean coast. Time period The data represent information published and/or collected during the last 50 years. Major taxa studied and level of measurement We focused our metaweb on terrestrial tetrapods occurring in the study area. Only species introduced in historical times and currently naturalized were considered; novel introductions were excluded. In total we included 288 mammals, 509 regularly breeding birds, 250 reptiles, and 104 amphibians. Software format Data are supplied as semi-colon separated text files.",mds,True,findable,665,256,1,2,0,2020-05-21T07:58:22.000Z,2020-05-21T07:58:23.000Z,dryad.dryad,dryad,"breeding birds,Reptiles,metaweb,Trophic interactions","[{'subject': 'breeding birds'}, {'subject': 'Reptiles', 'schemeUri': 'https://github.com/PLOS/plos-thesaurus', 'subjectScheme': 'PLOS Subject Area Thesaurus'}, {'subject': 'metaweb'}, {'subject': 'Trophic interactions', 'schemeUri': 'https://github.com/PLOS/plos-thesaurus', 'subjectScheme': 'PLOS Subject Area Thesaurus'}]",['16596876 bytes'],
+10.17178/amma-catch.ae.h2oflux_g,"Surface flux dataset (including surface energy, water vapor, and carbon fluxes), at the Agoufou station, Mali","IRD, CNRS-INSU, OSUG, OMP, OREME",2007,en,Dataset,"Creative Commons Attribution 4.0 International,Data access and use are ruled by the AMMA-CATCH data policy.,For any publication using AMMA-CATCH data, authors are asked to:
Mandatory: cite the reference article and the DOI of the observatory
@@ -3814,8 +3714,43 @@ Mandatory: cite the reference article and the DOI of the observatory
Optional: cite the DOI of each dataset used.
-Co-authorship: depending on the contribution of the data to the scientific results obtained, the authors should either propose co-authorship to the data providers or at least acknowledge their contribution.","Documentation of rainfall in sahelian and saharo-sahelian zones. The aim is to characterize the temporal and spatial variability along the North-South gradient within the Gourma meso-scale site. Data will be used in modelling and assimilation activities, as well as for validation of satellite products.",mds,True,findable,0,0,1,0,0,2018-03-16T15:37:13.000Z,2018-03-16T15:37:14.000Z,inist.osug,jbru,"Rainfall, precipitation, tropical convection,Sahelian/Saharan climate,Precipitation Amount (previous 24 hours),Precipitation Amount (previous 5 minutes),Precipitation Amount (previous hour)","[{'subject': 'Rainfall, precipitation, tropical convection', 'subjectScheme': 'main'}, {'subject': 'Sahelian/Saharan climate', 'subjectScheme': 'main'}, {'subject': 'Precipitation Amount (previous 24 hours)', 'subjectScheme': 'var'}, {'subject': 'Precipitation Amount (previous 5 minutes)', 'subjectScheme': 'var'}, {'subject': 'Precipitation Amount (previous hour)', 'subjectScheme': 'var'}]",,"['CSV', 'NETCDF', 'O&M 1.0']"
-10.17178/amma-catch.pa.h2oflux_snns,"Surface flux dataset (including surface energy, water vapor, and carbon fluxes) in the Niakhar site (Faidherbia-Flux station), Senegal","IRD, CNRS-INSU, OSUG, OMP, OREME",2018,en,Dataset,"Creative Commons Attribution 4.0 International,Data access and use are ruled by the AMMA-CATCH data policy.,For any publication using AMMA-CATCH data, authors are asked to:
+Co-authorship: depending on the contribution of the data to the scientific results obtained, the authors should either propose co-authorship to the data providers or at least acknowledge their contribution.",Measure components of the local-scale energy budget. Obtain forcing and validation data for modeling of soil-vegetation-atmosphere exchanges in Sahel. Contribute to the flux station network over the AMMA regional transect.,mds,True,findable,0,0,1,0,0,2021-11-15T12:52:04.000Z,2021-11-15T12:52:05.000Z,inist.osug,jbru,"Land surface exchange, water budget, energy budget, sahelian vegetation, evapo-transpiration, sahelian hydrology,Sahelian/Saharan climate,Wind Speed,Sensible Heat Flux,Carbon Dioxide Flux,Latent Heat Flux,Wind Direction,Air Temperature","[{'subject': 'Land surface exchange, water budget, energy budget, sahelian vegetation, evapo-transpiration, sahelian hydrology', 'subjectScheme': 'main'}, {'subject': 'Sahelian/Saharan climate', 'subjectScheme': 'main'}, {'subject': 'Wind Speed', 'subjectScheme': 'var'}, {'subject': 'Sensible Heat Flux', 'subjectScheme': 'var'}, {'subject': 'Carbon Dioxide Flux', 'subjectScheme': 'var'}, {'subject': 'Latent Heat Flux', 'subjectScheme': 'var'}, {'subject': 'Wind Direction', 'subjectScheme': 'var'}, {'subject': 'Air Temperature', 'subjectScheme': 'var'}]",,"['CSV', 'NETCDF', 'O&M 1.0']"
+10.5281/zenodo.5243218,Lithuanian DBnary archive in original Lemon format,Zenodo,2021,lt,Dataset,"Creative Commons Attribution Share Alike 4.0 International,Open Access","The DBnary dataset is an extract of Wiktionary data from many language editions in RDF Format. Until July 1st 2017, the lexical data extracted from Wiktionary was modeled using the lemon vocabulary. This dataset contains the full archive of all DBnary dumps in Lemon format containing lexical information from Lithuanian language edition, ranging from 6th April 2015 to 1st July 2017. After July 2017, DBnary data has been modeled using the ontolex model and will be available in another Zenodo entry.<br>",mds,True,findable,0,0,0,0,0,2021-08-24T10:44:17.000Z,2021-08-24T10:44:18.000Z,cern.zenodo,cern,"Wiktionary,Lemon,Lexical Data,RDF","[{'subject': 'Wiktionary'}, {'subject': 'Lemon'}, {'subject': 'Lexical Data'}, {'subject': 'RDF'}]",,
+10.57745/lpj2s2,GNSS position solutions in Japan,Recherche Data Gouv,2022,,Dataset,,"This dataset includes solutions processed by ISTerre for all Japanese GNSS stations. These products are daily position time series (North, East and Vertical), in the ITRF14 reference frame, calculated from RINEX files using the double difference method with GAMIT software.",mds,True,findable,194,10,0,0,0,2022-06-23T09:59:39.000Z,2022-07-06T12:38:55.000Z,rdg.prod,rdg,,,,
+10.5281/zenodo.8155231,compute-NPQ,Zenodo,2023,,Software,"MIT License Modern Variant,Open Access",This Python script performs various image processing operations on a set of images from confocal microscopy to compute NPQ (Non-Photochemical Quenching). The script is named compute_npq.py and requires Python 3 or later. A sample of input '.png' files is available in the data folder and can be used as described in READM.md file. compute-NPQ.zip,mds,True,findable,0,0,0,1,0,2023-07-17T13:51:07.000Z,2023-07-17T13:51:07.000Z,cern.zenodo,cern,,,,
+10.17178/emaa_(13c)o_rotation_922483ff,"Rotation excitation of [13C]O by CO, ortho-H2, ortho-H2O, para-H2 and para-H2O collisions","UGA, CNRS, CNRS-INSU, OSUG",2023,en,Dataset,"Please acknowledge the use of EMAA Database by citing the original articles in which the data were published (BibTeX format available), and adding the following sentence in your publication:
+This research has made use of spectroscopic and collisional data from the EMAA database (https://emaa.osug.fr). EMAA is supported by the Observatoire des Sciences de l'Univers de Grenoble (OSUG),Creative Commons Attribution 4.0 International,Data access and use are ruled by the EMAA data policy.",14 rotation energy levels / 13 radiative transitions / 91 collisional transitions for para-H2 (11 temperatures in the range 5-400K) / 91 collisional transitions for ortho-H2 (11 temperatures in the range 5-400K) / 55 collisional transitions for para-H2O (20 temperatures in the range 5-100K) / 55 collisional transitions for ortho-H2O (20 temperatures in the range 5-100K) / 55 collisional transitions for CO (15 temperatures in the range 10-150K),mds,True,findable,0,0,0,0,0,2023-12-07T15:50:25.000Z,2023-12-07T15:50:25.000Z,inist.osug,jbru,"target [13C]O,excitationType Rotation,collisional excitation,collider.0 para-H2,collider.1 ortho-H2,collider.2 para-H2O,collider.3 ortho-H2O,collider.4 CO,astrophysics,interstellar medium,comets,circumstellar medium,gas,microwave spectroscopy,infrared spectroscopy,rotational excitation,rovibrational excitation,vibrational excitation,electronic excitation,collisional rate coefficients,fine structure,hyperfine structure","[{'subject': 'target [13C]O', 'subjectScheme': 'main'}, {'subject': 'excitationType Rotation', 'subjectScheme': 'main'}, {'subject': 'collisional excitation', 'subjectScheme': 'main'}, {'subject': 'collider.0 para-H2', 'subjectScheme': 'var'}, {'subject': 'collider.1 ortho-H2', 'subjectScheme': 'var'}, {'subject': 'collider.2 para-H2O', 'subjectScheme': 'var'}, {'subject': 'collider.3 ortho-H2O', 'subjectScheme': 'var'}, {'subject': 'collider.4 CO', 'subjectScheme': 'var'}, {'subject': 'astrophysics', 'subjectScheme': 'var'}, {'subject': 'interstellar medium', 'subjectScheme': 'var'}, {'subject': 'comets', 'subjectScheme': 'var'}, {'subject': 'circumstellar medium', 'subjectScheme': 'var'}, {'subject': 'gas', 'subjectScheme': 'var'}, {'subject': 'microwave spectroscopy', 'subjectScheme': 'var'}, {'subject': 'infrared spectroscopy', 'subjectScheme': 'var'}, {'subject': 'rotational excitation', 'subjectScheme': 'var'}, {'subject': 'rovibrational excitation', 'subjectScheme': 'var'}, {'subject': 'vibrational excitation', 'subjectScheme': 'var'}, {'subject': 'electronic excitation', 'subjectScheme': 'var'}, {'subject': 'collisional rate coefficients', 'subjectScheme': 'var'}, {'subject': 'fine structure', 'subjectScheme': 'var'}, {'subject': 'hyperfine structure', 'subjectScheme': 'var'}]",,['Radex']
+10.48537/hal-03220313,"Fragile entities at work in ambiances, Understanding ambiances from the cultures and practices of the invisible",Reseau International Ambiances,2020,en,Text,Creative Commons Attribution Non Commercial No Derivatives 2.0 Generic,"Through her investigation of fragile entities, philosopher of science Vinciane Despret sheds new light on our relationship to the deceased. Through a relation of obligations, the dead put the living to work. The living take care of their deceased by choosing to respond to the call. Practices of memory modify, densify and colour our under-standing of our living environment and create specific ambiances. Focused on the singular link of a Georgian family with their deceased, Nino Kirtadze’s film, Tell my friends that I’m dead, enlightens the full scope of these fragile entities at work on the existing. Through this documentary, we identify the invisible chains that generate ambiances above ground and outside time. Furthermore, transgenerational psychoanalyst Christine Ulivucci conducted critical analysis showing that ambiance memories, sensitive impressions are rooted in our personal history. The encounter with familiar places or objects activates reminiscence and produces what we call: fragile ambiances.",mds,True,findable,0,0,0,0,0,2021-06-17T09:44:22.000Z,2021-06-17T09:44:22.000Z,jbru.aau,jbru,"Fragile Entities,Memory,Dead,House,Cult of the Dead,Transgenerational Psychoanalysis,Fragile Ambiances","[{'lang': 'eng', 'subject': 'Fragile Entities'}, {'lang': 'eng', 'subject': 'Memory'}, {'lang': 'eng', 'subject': 'Dead'}, {'lang': 'eng', 'subject': 'House'}, {'lang': 'eng', 'subject': 'Cult of the Dead'}, {'lang': 'eng', 'subject': 'Transgenerational Psychoanalysis'}, {'lang': 'eng', 'subject': 'Fragile Ambiances'}]",['6 pages'],['application/pdf']
+10.5281/zenodo.10205579,Proceedings of the 7th International Conference English Pronunciation: Issues and Practices (EPIP 7).[on line],Université Grenoble-Alpes,2023,en,ConferenceProceeding,Creative Commons Attribution 4.0 International,"This is the online, compiled proceedings from the 7th International Conference English Pronunciation: Issues and Practices (EPIP 7) which was held May 18–20, 2022 at Université Grenoble-Alpes, France. It includes 23 double-blind, peer-reviewed chapters written by authors from several countries, an introduction and a thematic index, and is licensed under the Creative Commons Attribution 4.0 International License. (To view a copy of the license, please go to: http://creativecommons.org/licenses/by/4.0/.)",api,True,findable,0,0,0,0,0,2023-11-25T08:33:51.000Z,2023-11-25T08:33:51.000Z,cern.zenodo,cern,"English pronunciation,second language pronunciation,language learning,language teaching,second language acquisition,phonetics,phonology,English pronunciation research","[{'subject': 'English pronunciation'}, {'subject': 'second language pronunciation'}, {'subject': 'language learning'}, {'subject': 'language teaching'}, {'subject': 'second language acquisition'}, {'subject': 'phonetics'}, {'subject': 'phonology'}, {'subject': 'English pronunciation research'}]",,
+10.48537/hal-03220306,"The Way of Ambiances: Scientific Practices, Artistic Practices, Session 15 – Introduction",Reseau International Ambiances,2020,en,Text,Creative Commons Attribution Non Commercial No Derivatives 2.0 Generic,,mds,True,findable,0,0,0,0,0,2021-06-17T20:45:54.000Z,2021-06-17T20:45:55.000Z,jbru.aau,jbru,,,['1 pages'],['application/pdf']
+10.17178/emaa_ortho-(13c)c2h2_rotation_a4239764,Rotation excitation of ortho-c-[13C]C2H2 by He and para-H2 collisions,"UGA, CNRS, CNRS-INSU, OSUG",2023,en,Dataset,"Please acknowledge the use of EMAA Database by citing the original articles in which the data were published (BibTeX format available), and adding the following sentence in your publication:
+This research has made use of spectroscopic and collisional data from the EMAA database (https://emaa.osug.fr). EMAA is supported by the Observatoire des Sciences de l'Univers de Grenoble (OSUG),Creative Commons Attribution 4.0 International,Data access and use are ruled by the EMAA data policy.",49 rotation energy levels / 109 radiative transitions / 1176 collisional transitions for para-H2 (9 temperatures in the range 5-120K) / 1176 collisional transitions for He (9 temperatures in the range 5-120K),mds,True,findable,0,0,0,0,0,2023-12-07T15:51:34.000Z,2023-12-07T15:51:35.000Z,inist.osug,jbru,"target ortho-c-[13C]C2H2,excitationType Rotation,collisional excitation,collider.0 para-H2,collider.1 He,astrophysics,interstellar medium,comets,circumstellar medium,gas,microwave spectroscopy,infrared spectroscopy,rotational excitation,rovibrational excitation,vibrational excitation,electronic excitation,collisional rate coefficients,fine structure,hyperfine structure","[{'subject': 'target ortho-c-[13C]C2H2', 'subjectScheme': 'main'}, {'subject': 'excitationType Rotation', 'subjectScheme': 'main'}, {'subject': 'collisional excitation', 'subjectScheme': 'main'}, {'subject': 'collider.0 para-H2', 'subjectScheme': 'var'}, {'subject': 'collider.1 He', 'subjectScheme': 'var'}, {'subject': 'astrophysics', 'subjectScheme': 'var'}, {'subject': 'interstellar medium', 'subjectScheme': 'var'}, {'subject': 'comets', 'subjectScheme': 'var'}, {'subject': 'circumstellar medium', 'subjectScheme': 'var'}, {'subject': 'gas', 'subjectScheme': 'var'}, {'subject': 'microwave spectroscopy', 'subjectScheme': 'var'}, {'subject': 'infrared spectroscopy', 'subjectScheme': 'var'}, {'subject': 'rotational excitation', 'subjectScheme': 'var'}, {'subject': 'rovibrational excitation', 'subjectScheme': 'var'}, {'subject': 'vibrational excitation', 'subjectScheme': 'var'}, {'subject': 'electronic excitation', 'subjectScheme': 'var'}, {'subject': 'collisional rate coefficients', 'subjectScheme': 'var'}, {'subject': 'fine structure', 'subjectScheme': 'var'}, {'subject': 'hyperfine structure', 'subjectScheme': 'var'}]",,['Radex']
+10.18709/perscido.2022.06.ds370,Redundant Apodized Pupils (RAP) 2,PerSCiDo,2022,en,Dataset,,"The RAP concept can be applied on coronagraphic instruments subject to island effects (low-wind effect and post-adaptive optics petaling, ie. piston, tip, and tilt on the petals defined by the spider). It aims to reduce the constraints of petaling-level errors by 1) optimizing the apodization of the elementary petal and 2) reproducing this apodization on all petals, mimicking the mirror fragmentation. In Leboulleux et al. 2022 (A), the RAP concept developed in the case of primary mirror segmentation-induced errors and applied on a Giant Magellan telescope-like pupil combined with an Apodized Pupil Lyot Coronagraph (APLC) on one hand and with an Apodizing Phase Plate (APP) coronagraph on the other hand. In Leboulleux et al. 2022 (accepted in A, available in the folder), the RAP concept is extended to petal-level errors and applied on the Extremely Large Telescope pupil, combined with both APP and Shaped Pupil (SP) coronagraphs. Acknowledgments This project is funded by the European Research Council (ERC) under the European Union's Horizon 2020 research and innovation programme (grant agreement n°866001).",fabrica,True,findable,0,0,0,0,0,2022-06-27T07:17:25.000Z,2022-06-27T07:17:25.000Z,inist.persyval,vcob,Astrophysics and astronomy,"[{'lang': 'en', 'subject': 'Astrophysics and astronomy'}]",['10Mo'],
+10.17178/cryobsclim.cdp.2018.metsafran,"Col de Porte, Hourly meteorological data from SAFRAN reanalysis",CNRS - OSUG - Meteo France,2018,en,Dataset,"Data access and use are ruled by the CRYOBS-CLIM data policy.,Always quote below citation to Lejeune et al. (2019) when using data.
+ Lejeune, Y., Dumont, M., Panel J.-M., Lafaysse, M., Lapalus, P., Le Gac, E., Lesaffre, B. and Morin, S., 57 years (1960-2017) of snow and meteorological observations from a mid-altitude mountain site (Col de Porte, France, 1325 m alt.), Earth System Science Data, 11(2019), 71-88, https://doi.org/10.5194/essd-11-71-2019. The following acknowledging sentence should appear in publications using Cryobs-Clim-CDP data and products: ""Cryobs-Clim Col de Porte is funded by Meteo France, the Institut National des Sciences de l’Univers (INSU/CNRS), and the Observatoire des Sciences de l’Univers de Grenoble (OSUG / Université Grenoble Alpes)â€. You are invited to contact the PI(s) or lead scientist for more information about the data and to include the acknowledgement sentence in any publication using the data.","This dataset is part of the Cryobs-Clim-CDP (CRYosphere, an OBServatory of the CLIMate – Col de Porte) observatory",mds,True,findable,0,0,1,0,0,2018-07-19T07:26:36.000Z,2018-07-19T07:27:38.000Z,inist.osug,jbru,"Air Temperature,Specific Humidity,Wind speed,Rainfall rate,Snowfall rate,Incident longwave radiation,Incident shortwave direct radiation,Incident shortwave diffuse radiation,Surface pressure,Nebulosity","[{'subject': 'Air Temperature', 'subjectScheme': 'main'}, {'subject': 'Specific Humidity', 'subjectScheme': 'main'}, {'subject': 'Wind speed', 'subjectScheme': 'main'}, {'subject': 'Rainfall rate', 'subjectScheme': 'main'}, {'subject': 'Snowfall rate', 'subjectScheme': 'main'}, {'subject': 'Incident longwave radiation', 'subjectScheme': 'main'}, {'subject': 'Incident shortwave direct radiation', 'subjectScheme': 'main'}, {'subject': 'Incident shortwave diffuse radiation', 'subjectScheme': 'main'}, {'subject': 'Surface pressure', 'subjectScheme': 'main'}, {'subject': 'Nebulosity', 'subjectScheme': 'main'}]",,['netCDF']
+10.5281/zenodo.7755650,"Catalog of icequakes recorded in March 2019, in the Van Mijen Fjord, in Svalbard (Norway)",Zenodo,2023,,Dataset,"Creative Commons Attribution 4.0 International,Open Access","The files contain a catalog of icequakes waveforms recorded in March 2019, at Vallunden lake, in the Van Mijen Fjord, in Svalbard (Norway). The three components of velocity are available.",mds,True,findable,0,0,0,0,0,2023-03-21T09:43:11.000Z,2023-03-21T09:43:11.000Z,cern.zenodo,cern,,,,
+10.17178/emaa_hc3n_hyperfine_f86a675e,Hyperfine excitation of HC3N by ortho-H2 and para-H2 collisions,"UGA, CNRS, CNRS-INSU, OSUG",2021,en,Dataset,"Please acknowledge the use of EMAA Database by citing the original articles in which the data were published (BibTeX format available), and adding the following sentence in your publication:
+This research has made use of spectroscopic and collisional data from the EMAA database (https://emaa.osug.fr). EMAA is supported by the Observatoire des Sciences de l'Univers de Grenoble (OSUG),Creative Commons Attribution 4.0 International,Data access and use are ruled by the EMAA data policy.",61 hyperfine energy levels / 108 radiative transitions / 1810 collisional transitions for para-H2 (10 temperatures in the range 10-100K) / 1810 collisional transitions for ortho-H2 (10 temperatures in the range 10-100K),mds,True,findable,0,0,0,0,0,2021-11-17T14:00:56.000Z,2021-11-17T14:00:58.000Z,inist.osug,jbru,"target HC3N,excitationType Hyperfine,collisional excitation,collider.0 para-H2,collider.1 ortho-H2,astrophysics,interstellar medium,comets,circumstellar medium,gas,microwave spectroscopy,infrared spectroscopy,rotational excitation,rovibrational excitation,vibrational excitation,electronic excitation,collisional rate coefficients,fine structure,hyperfine structure","[{'subject': 'target HC3N', 'subjectScheme': 'main'}, {'subject': 'excitationType Hyperfine', 'subjectScheme': 'main'}, {'subject': 'collisional excitation', 'subjectScheme': 'main'}, {'subject': 'collider.0 para-H2', 'subjectScheme': 'var'}, {'subject': 'collider.1 ortho-H2', 'subjectScheme': 'var'}, {'subject': 'astrophysics', 'subjectScheme': 'var'}, {'subject': 'interstellar medium', 'subjectScheme': 'var'}, {'subject': 'comets', 'subjectScheme': 'var'}, {'subject': 'circumstellar medium', 'subjectScheme': 'var'}, {'subject': 'gas', 'subjectScheme': 'var'}, {'subject': 'microwave spectroscopy', 'subjectScheme': 'var'}, {'subject': 'infrared spectroscopy', 'subjectScheme': 'var'}, {'subject': 'rotational excitation', 'subjectScheme': 'var'}, {'subject': 'rovibrational excitation', 'subjectScheme': 'var'}, {'subject': 'vibrational excitation', 'subjectScheme': 'var'}, {'subject': 'electronic excitation', 'subjectScheme': 'var'}, {'subject': 'collisional rate coefficients', 'subjectScheme': 'var'}, {'subject': 'fine structure', 'subjectScheme': 'var'}, {'subject': 'hyperfine structure', 'subjectScheme': 'var'}]",,['Radex']
+10.5281/zenodo.5243199,Japanese DBnary archive in original Lemon format,Zenodo,2021,ja,Dataset,"Creative Commons Attribution Share Alike 4.0 International,Open Access","The DBnary dataset is an extract of Wiktionary data from many language editions in RDF Format. Until July 1st 2017, the lexical data extracted from Wiktionary was modeled using the lemon vocabulary. This dataset contains the full archive of all DBnary dumps in Lemon format containing lexical information from Japanese language edition, ranging from 11th October 2013 to 1st July 2017. After July 2017, DBnary data has been modeled using the ontolex model and will be available in another Zenodo entry.<br>",mds,True,findable,0,0,0,0,0,2021-08-24T10:26:51.000Z,2021-08-24T10:26:51.000Z,cern.zenodo,cern,"Wiktionary,Lemon,Lexical Data,RDF","[{'subject': 'Wiktionary'}, {'subject': 'Lemon'}, {'subject': 'Lexical Data'}, {'subject': 'RDF'}]",,
+10.17178/emaa_ortho-h2co_rotation_b10653cc,Rotation excitation of ortho-H2CO by ortho-H2 and para-H2 collisions,"UGA, CNRS, CNRS-INSU, OSUG",2021,en,Dataset,"Please acknowledge the use of EMAA Database by citing the original articles in which the data were published (BibTeX format available), and adding the following sentence in your publication:
+This research has made use of spectroscopic and collisional data from the EMAA database (https://emaa.osug.fr). EMAA is supported by the Observatoire des Sciences de l'Univers de Grenoble (OSUG),Creative Commons Attribution 4.0 International,Data access and use are ruled by the EMAA data policy.",40 rotation energy levels / 104 radiative transitions / 780 collisional transitions for ortho-H2 (21 temperatures in the range 10-300K) / 780 collisional transitions for para-H2 (21 temperatures in the range 10-300K),mds,True,findable,0,0,0,0,0,2021-11-17T14:01:34.000Z,2021-11-17T14:01:35.000Z,inist.osug,jbru,"target ortho-H2CO,excitationType Rotation,collisional excitation,collider.0 ortho-H2,collider.1 para-H2,astrophysics,interstellar medium,comets,circumstellar medium,gas,microwave spectroscopy,infrared spectroscopy,rotational excitation,rovibrational excitation,vibrational excitation,electronic excitation,collisional rate coefficients,fine structure,hyperfine structure","[{'subject': 'target ortho-H2CO', 'subjectScheme': 'main'}, {'subject': 'excitationType Rotation', 'subjectScheme': 'main'}, {'subject': 'collisional excitation', 'subjectScheme': 'main'}, {'subject': 'collider.0 ortho-H2', 'subjectScheme': 'var'}, {'subject': 'collider.1 para-H2', 'subjectScheme': 'var'}, {'subject': 'astrophysics', 'subjectScheme': 'var'}, {'subject': 'interstellar medium', 'subjectScheme': 'var'}, {'subject': 'comets', 'subjectScheme': 'var'}, {'subject': 'circumstellar medium', 'subjectScheme': 'var'}, {'subject': 'gas', 'subjectScheme': 'var'}, {'subject': 'microwave spectroscopy', 'subjectScheme': 'var'}, {'subject': 'infrared spectroscopy', 'subjectScheme': 'var'}, {'subject': 'rotational excitation', 'subjectScheme': 'var'}, {'subject': 'rovibrational excitation', 'subjectScheme': 'var'}, {'subject': 'vibrational excitation', 'subjectScheme': 'var'}, {'subject': 'electronic excitation', 'subjectScheme': 'var'}, {'subject': 'collisional rate coefficients', 'subjectScheme': 'var'}, {'subject': 'fine structure', 'subjectScheme': 'var'}, {'subject': 'hyperfine structure', 'subjectScheme': 'var'}]",,['Radex']
+10.18709/perscido.2023.12.ds403,Data repository of the paper by Schwartz et al. in Communications earth & environment,PerSCiDO,2023,,Dataset,,"This data repository provides the seismic data used in the paper by Schwartz et al. ""Role of mantle indentation in collisional deformation evidenced by deep geophysical imaging of Western Alps"". ",api,True,findable,0,0,0,0,0,2023-12-11T10:01:56.000Z,2023-12-11T10:01:56.000Z,inist.persyval,vcob,"Geology,FOS: Earth and related environmental sciences","[{'subject': 'Geology', 'subjectScheme': 'http://www.radar-projekt.org/display/Geological_Sciences'}, {'subject': 'FOS: Earth and related environmental sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}]",['10 Mo'],
+10.5281/zenodo.7054555,"Dataset of ""PEMFC performance decay during real-world automotive operation: evincing degradation mechanisms and heterogeneity of ageing""",Zenodo,2022,,Dataset,"Creative Commons Attribution 4.0 International,Open Access","This is the underlying dataset of ""PEMFC performance decay during real-world automotive operation: evincing degradation mechanisms and heterogeneity of ageing""",mds,True,findable,0,0,0,0,0,2022-10-18T16:12:00.000Z,2022-10-18T16:12:01.000Z,cern.zenodo,cern,"Polymer Electrolyte Membrane Fuel Cell,Dynamic load cycle,Local degradation,Automotive,Catalyst layer durability,Degradation mechanism","[{'subject': 'Polymer Electrolyte Membrane Fuel Cell'}, {'subject': 'Dynamic load cycle'}, {'subject': 'Local degradation'}, {'subject': 'Automotive'}, {'subject': 'Catalyst layer durability'}, {'subject': 'Degradation mechanism'}]",,
+10.5281/zenodo.3606016,Modifications of the plant-pollinator network structure and species' roles along a gradient of urbanization,Zenodo,2020,en,Dataset,"Creative Commons Attribution 4.0 International,Open Access","This file includes data and codes used in the article titled: "" Modifications of the plant-pollinator network structure and species’ roles along a gradient of urbanization"". Data include plant-pollinator interactions sampled in each site (1-12) at each sampling event (6 events) in the three urbanization classes (low, medium, high). Each row is a single insect pollinator X plant interaction. Full species names and abbreviations used in figures in the Supplementary Information are reported.<br> The data file is .txt with tab-separated values.",mds,True,findable,1,0,0,0,0,2020-01-13T10:19:33.000Z,2020-01-13T10:19:34.000Z,cern.zenodo,cern,"bees, beta-diversity, conservation biology, global changes, hoverflies, interaction diversity, land-use change, motifs, mutualistic networks, pollinators, plant-pollinator interactions, urbanization","[{'subject': 'bees, beta-diversity, conservation biology, global changes, hoverflies, interaction diversity, land-use change, motifs, mutualistic networks, pollinators, plant-pollinator interactions, urbanization'}]",,
+10.57757/iugg23-4534,Deep-learning-based phase picking in SeisComP using SeisBench,GFZ German Research Centre for Geosciences,2023,en,ConferencePaper,Creative Commons Attribution 4.0 International,"<!--!introduction!--><b></b><p>The open-source, seismological software package SeisComP is widely used for seismic monitoring world-wide. Its automatic phase picking module consists of an STA/LTA-based P-wave detector augmented by an AIC onset picker. With proper configuration, it allows detection and accurate onset picking for a wide range of seismic signals. However, it cannot match the performance of experienced analysts. Especially broadband data are often challenging for phase pickers due to the enormous variety of the signals of interest. <br><br>In order to optimize quality and number of automatic picks and reduce time-consuming manual revision, we chose to develop a machine-learning repicker module for SeisComP based on the SeisBench framework. SeisBench supports several deep-learning pickers and comes pre-trained for different benchmark datasets, one of which was contributed by GFZ Potsdam.<br><br>The repicking module consists of several submodules that interact with both SeisComP and SeisBench via their Python interfaces. The current workflow is based on existing locations generated with a classical SeisComP setup. Shortly after event detection and preliminary location, our repicker (1) starts to repick previously picked onsets and (2) attempts to generate additional picks.<br><br>Preliminary results are encouraging. The deep-learning repicker substantially improves pick quality over a large frequency range. The number of picks available per event has approximately doubled and the publication delay is often reduced, especially for small events. The total number of published events has increased by about 20 per cent.</p>",fabricaForm,True,findable,0,0,0,0,0,2023-07-03T19:58:01.000Z,2023-07-11T19:19:09.000Z,gfz.iugg2023,gfz,,,,
+10.6084/m9.figshare.23822154.v1,Dataset for the main experiment from Mirror exposure following visual body-size adaptation does not affect own body image,The Royal Society,2023,,Dataset,Creative Commons Attribution 4.0 International,Data for the main experiment in CSV format.,mds,True,findable,0,0,0,0,0,2023-08-02T11:18:26.000Z,2023-08-02T11:18:26.000Z,figshare.ars,otjm,"Cognitive Science not elsewhere classified,Psychology and Cognitive Sciences not elsewhere classified","[{'subject': 'Cognitive Science not elsewhere classified'}, {'subject': 'Psychology and Cognitive Sciences not elsewhere classified'}]",['29026 Bytes'],
+10.5281/zenodo.4964221,"FIGURES 35–38. Protonemura risi, 35 in Two new species of Protonemura Kempny, 1898 (Plecoptera: Nemouridae) from the Italian Alps",Zenodo,2021,,Image,Open Access,"FIGURES 35–38. Protonemura risi, 35. male, epiproct, lateral view. 36. male, paraproct median lobe and outer lobe with bifurcated sclerite. 37. female, ventral view (Jura Mountains). 38. female, ventral view (Massif central, northern flank)",mds,True,findable,0,0,0,0,0,2021-06-16T08:25:42.000Z,2021-06-16T08:25:43.000Z,cern.zenodo,cern,"Biodiversity,Taxonomy","[{'subject': 'Biodiversity'}, {'subject': 'Taxonomy'}]",,
+10.17178/erosion_model.2020,Modeled contributions of sediment sources to total suspended sediment flux in two mesoscale catchments,UGA,2020,en,Dataset,"Creative Commons Attribution 4.0 International,Data access and use are ruled by the CC-BY 4.0 license.","The application enables to show the contribution of erosion zones that act as sediment sources to total suspended sediment load in percent simulated with the IBER soil erosion model. Model output can be visualized for two mesoscale Mediterranean catchments in southeastern France, the 42 km2 Claduègne catchment and the 20 km2 Galabre catchment and for different sets of scenarios: (i) CDA threshold: The threshold of contributing drainage area (CDA) defines the length of the river network. Values were varied from 15 ha to 500 ha. (ii) Manning's n: river: Manning's roughness parameter in the river network. Values were varied from 0.025 to 0.1. (iii) Manning's n: hillslopes: Manning's roughness parameter on the hillslopes. Values were varied from 0.2 to 0.8. (iv) Source classification: Source classification based on connectivity, i.e. sediment sources were subdivided based on their distance to the outlet and their distance to the river. In addition to the modeled source contributions the time series of rainfall intensity, liquid and solid discharge can be displayed.",mds,True,findable,0,0,0,0,0,2020-07-22T14:26:36.000Z,2020-07-22T14:26:37.000Z,inist.osug,jbru,erosion model,"[{'subject': 'erosion model', 'subjectScheme': 'main'}]",,"['.rep', '.R']"
+10.48537/hal-03220255,"Design Practice as Fieldwork, Describing the Nocturnal Biome Through Light and Sound",Reseau International Ambiances,2020,en,Text,Creative Commons Attribution Non Commercial No Derivatives 2.0 Generic,"Human and non-human behaviours are regulated by cycles of light and dark, while many such behaviours can be detected through sound. This article asks how we might use recordings of light and sound to make the nocturnal urban environment meaningfully legible as a more-than-human biome. It reports on several prototypal methods that bring together art/design practices and fieldwork techniques. The aim of this ongoing work is to raise awareness of the night as an ecology, communicate the multiple temporalities characteristic of a healthy biome and provide tools that can inform responsible urban design interventions that improve the quality of the night from a more-than-human perspective.",fabrica,True,findable,0,0,0,0,0,2021-06-16T16:54:57.000Z,2021-06-16T16:54:58.000Z,jbru.aau,jbru,"More-Than-Human,Ecology,FOS: Biological sciences,Creative Fieldwork,Urban Design,Night Studies","[{'lang': 'eng', 'subject': 'More-Than-Human'}, {'lang': 'eng', 'subject': 'Ecology'}, {'subject': 'FOS: Biological sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'lang': 'eng', 'subject': 'Creative Fieldwork'}, {'lang': 'eng', 'subject': 'Urban Design'}, {'lang': 'eng', 'subject': 'Night Studies'}]",['6 pages'],['application/pdf']
+10.5281/zenodo.5373494,"FIG. 5. — A in Le gisement paléontologique villafranchien terminal de Peyrolles (Issoire, Puy-de-Dôme, France): résultats de nouvelles prospections",Zenodo,2006,,Image,"Creative Commons Zero v1.0 Universal,Open Access","FIG. 5. — A', A'', fragment de bois gauche(?) de chute (Pey2 97 001) d'un jeune individu d'Eucladoceros cf. tetraceros en vue interne; A', le spécimen comme il a été trouvé sur le terrain: en noir, la partie du bois préservée et recueillie (voir A''), en rayures, l'empreinte de la fourche terminale; B, dents supérieures gauches d'Eucladoceros cf. tetraceros (Pey JLP 14) en vue occlusale; C, fragment de bois droit de massacre de « Cervus » perolensis (Pey JLP 18) en vue latérale; D, fragment de bois gauche de massacre de « Cervus » perolensis (Pey 18 JBC) en vue latérale. Échelles: 5 cm.",mds,True,findable,0,0,0,0,0,2021-09-02T04:40:37.000Z,2021-09-02T04:40:38.000Z,cern.zenodo,cern,"Biodiversity,Taxonomy","[{'subject': 'Biodiversity'}, {'subject': 'Taxonomy'}]",,
+10.48537/hal-03220349,"The Ambiance of Rome Self- Managed Spaces as Dispositif de Sensibilisation, How Space Sensory Experience Can Lead to Approaching a Political Cause?",Reseau International Ambiances,2020,en,Text,Creative Commons Attribution Non Commercial No Derivatives 2.0 Generic,"As occupied and ‘self-managed political-sociocultural spaces’ in Rome are material urban spaces, we consider the æsthetic experience of their ‘ambiance’ as a central factor of engagement, helping to build attachment to the place and to develop the desire to ‘make community’. Therefore, we analyse ambiances as spatialized dispositifs de sensibilisation, with a special interest in the degree of influence of the synesthetic process of ambiance–e.g. architecture, nature, smells, symbols, lighting, humidity, temperature, arrangement, attendance, etc.–on the choice to commit. We are also interested in existing feedback loops, understood as resulting from the fact that the perception of an ‘ambiance’ can lead activists to want to change it over time if it induces topophobia.",mds,True,findable,0,0,0,0,0,2021-06-17T16:47:19.000Z,2021-06-17T16:47:20.000Z,jbru.aau,jbru,"Social Movements,Commons","[{'lang': 'eng', 'subject': 'Social Movements'}, {'lang': 'eng', 'subject': 'Commons'}]",['6 pages'],['application/pdf']
+10.48537/hal-03220256,"Dark Design, Reimagining Nocturnal Ambiances",Reseau International Ambiances,2020,en,Text,Creative Commons Attribution Non Commercial No Derivatives 2.0 Generic,"The implementation of energy- efficient artificial lighting has been accom- panied by a compelling narrative of savings in economic terms. However, this obscures significant costs to the environment, humans and non-humans. It has also led to higher levels of brightness at night. Integral to this process is the loss of nocturnal atmospheres and ambiances as access to darkness becomes further limited. We need new ways to address this ongoing extinction of experience of the nocturnal commons. Design can provide a valuable role in its ability to explore alter- natives, to speculate on new sensitizations that enable nocturnal urban ambiances to be reimagined. This paper proposes an emerging field of ‘Dark Design’ as advocacy for change of existing beliefs concerning artificial lighting and darkness.",mds,True,findable,0,0,0,0,0,2021-06-17T16:47:51.000Z,2021-06-17T16:47:52.000Z,jbru.aau,jbru,"Darkness,Design,Nocturnals Commons,Ambiances,Humans and Non-Humans","[{'lang': 'eng', 'subject': 'Darkness'}, {'lang': 'eng', 'subject': 'Design'}, {'lang': 'eng', 'subject': 'Nocturnals Commons'}, {'lang': 'eng', 'subject': 'Ambiances'}, {'lang': 'eng', 'subject': 'Humans and Non-Humans'}]",['6 pages'],['application/pdf']
+10.17178/emaa_(13c)n_hyperfine_18ebf4d6,Hyperfine excitation of [13C]N by para-H2 collisions,"UGA, CNRS, CNRS-INSU, OSUG",2021,en,Dataset,"Please acknowledge the use of EMAA Database by citing the original articles in which the data were published (BibTeX format available), and adding the following sentence in your publication:
+This research has made use of spectroscopic and collisional data from the EMAA database (https://emaa.osug.fr). EMAA is supported by the Observatoire des Sciences de l'Univers de Grenoble (OSUG),Creative Commons Attribution 4.0 International,Data access and use are ruled by the EMAA data policy.",98 hyperfine energy levels / 503 radiative transitions / 4655 collisional transitions for para-H2 (16 temperatures in the range 5-80K),mds,True,findable,0,0,0,0,0,2021-11-18T13:34:28.000Z,2021-11-18T13:34:29.000Z,inist.osug,jbru,"target [13C]N,excitationType Hyperfine,collisional excitation,collider.0 para-H2,astrophysics,interstellar medium,comets,circumstellar medium,gas,microwave spectroscopy,infrared spectroscopy,rotational excitation,rovibrational excitation,vibrational excitation,electronic excitation,collisional rate coefficients,fine structure,hyperfine structure","[{'subject': 'target [13C]N', 'subjectScheme': 'main'}, {'subject': 'excitationType Hyperfine', 'subjectScheme': 'main'}, {'subject': 'collisional excitation', 'subjectScheme': 'main'}, {'subject': 'collider.0 para-H2', 'subjectScheme': 'var'}, {'subject': 'astrophysics', 'subjectScheme': 'var'}, {'subject': 'interstellar medium', 'subjectScheme': 'var'}, {'subject': 'comets', 'subjectScheme': 'var'}, {'subject': 'circumstellar medium', 'subjectScheme': 'var'}, {'subject': 'gas', 'subjectScheme': 'var'}, {'subject': 'microwave spectroscopy', 'subjectScheme': 'var'}, {'subject': 'infrared spectroscopy', 'subjectScheme': 'var'}, {'subject': 'rotational excitation', 'subjectScheme': 'var'}, {'subject': 'rovibrational excitation', 'subjectScheme': 'var'}, {'subject': 'vibrational excitation', 'subjectScheme': 'var'}, {'subject': 'electronic excitation', 'subjectScheme': 'var'}, {'subject': 'collisional rate coefficients', 'subjectScheme': 'var'}, {'subject': 'fine structure', 'subjectScheme': 'var'}, {'subject': 'hyperfine structure', 'subjectScheme': 'var'}]",,['Radex']
+10.17178/emaa_ortho-h2c(18o)_rotation_7963f75b,Rotation excitation of ortho-H2C[18O] by ortho-H2 and para-H2 collisions,"UGA, CNRS, CNRS-INSU, OSUG",2022,en,Dataset,"Please acknowledge the use of EMAA Database by citing the original articles in which the data were published (BibTeX format available), and adding the following sentence in your publication:
+This research has made use of spectroscopic and collisional data from the EMAA database (https://emaa.osug.fr). EMAA is supported by the Observatoire des Sciences de l'Univers de Grenoble (OSUG),Creative Commons Attribution 4.0 International,Data access and use are ruled by the EMAA data policy.",30 rotation energy levels / 69 radiative transitions / 435 collisional transitions for ortho-H2 (21 temperatures in the range 10-300K) / 435 collisional transitions for para-H2 (21 temperatures in the range 10-300K),mds,True,findable,0,0,0,0,0,2022-06-08T11:34:53.000Z,2022-06-08T11:34:54.000Z,inist.osug,jbru,"target ortho-H2C[18O],excitationType Rotation,collisional excitation,collider.0 ortho-H2,collider.1 para-H2,astrophysics,interstellar medium,comets,circumstellar medium,gas,microwave spectroscopy,infrared spectroscopy,rotational excitation,rovibrational excitation,vibrational excitation,electronic excitation,collisional rate coefficients,fine structure,hyperfine structure","[{'subject': 'target ortho-H2C[18O]', 'subjectScheme': 'main'}, {'subject': 'excitationType Rotation', 'subjectScheme': 'main'}, {'subject': 'collisional excitation', 'subjectScheme': 'main'}, {'subject': 'collider.0 ortho-H2', 'subjectScheme': 'var'}, {'subject': 'collider.1 para-H2', 'subjectScheme': 'var'}, {'subject': 'astrophysics', 'subjectScheme': 'var'}, {'subject': 'interstellar medium', 'subjectScheme': 'var'}, {'subject': 'comets', 'subjectScheme': 'var'}, {'subject': 'circumstellar medium', 'subjectScheme': 'var'}, {'subject': 'gas', 'subjectScheme': 'var'}, {'subject': 'microwave spectroscopy', 'subjectScheme': 'var'}, {'subject': 'infrared spectroscopy', 'subjectScheme': 'var'}, {'subject': 'rotational excitation', 'subjectScheme': 'var'}, {'subject': 'rovibrational excitation', 'subjectScheme': 'var'}, {'subject': 'vibrational excitation', 'subjectScheme': 'var'}, {'subject': 'electronic excitation', 'subjectScheme': 'var'}, {'subject': 'collisional rate coefficients', 'subjectScheme': 'var'}, {'subject': 'fine structure', 'subjectScheme': 'var'}, {'subject': 'hyperfine structure', 'subjectScheme': 'var'}]",,['Radex']
+10.5281/zenodo.4964213,"FIGURES 25–28 in Two new species of Protonemura Kempny, 1898 (Plecoptera: Nemouridae) from the Italian Alps",Zenodo,2021,,Image,Open Access,"FIGURES 25–28. Protonemura pennina sp. n., 25. male terminalia with epiproct, dorsal view. 26. male terminalia, ventral view. 27. male, paraproct median lobe and outer lobe with trifurcated sclerite. 28. male, paraproct median lobe and outer lobe with trifurcated sclerite",mds,True,findable,0,0,3,0,0,2021-06-16T08:25:17.000Z,2021-06-16T08:25:18.000Z,cern.zenodo,cern,"Biodiversity,Taxonomy,Animalia,Arthropoda,Insecta,Plecoptera,Nemouridae,Protonemura","[{'subject': 'Biodiversity'}, {'subject': 'Taxonomy'}, {'subject': 'Animalia'}, {'subject': 'Arthropoda'}, {'subject': 'Insecta'}, {'subject': 'Plecoptera'}, {'subject': 'Nemouridae'}, {'subject': 'Protonemura'}]",,
+10.17178/amma-catch.ce.veg_gh,"Vegetation dataset (seasonal dynamics of herbaceous vegetation), within the Hombori site (2500 km2), Mali","IRD, CNRS-INSU, OSUG, OMP, OREME",2005,en,Dataset,"Creative Commons Attribution 4.0 International,Data access and use are ruled by the AMMA-CATCH data policy.,For any publication using AMMA-CATCH data, authors are asked to:
Mandatory: cite the reference article and the DOI of the observatory
@@ -3824,8 +3759,70 @@ Mandatory: cite the reference article and the DOI of the observatory
Optional: cite the DOI of each dataset used.
-Co-authorship: depending on the contribution of the data to the scientific results obtained, the authors should either propose co-authorship to the data providers or at least acknowledge their contribution.","Measure components of the local-scale energy budget at 2 levels, above tree canopy (20m) and below tree canopy (4.5m). Obtain forcing and validation data for modeling of soil-vegetation-atmosphere exchanges in agro-silvo-pastoral systems of Sahel. Contribute to the flux station network over the AMMA regional transect.",mds,True,findable,0,0,1,0,0,2022-12-09T16:47:51.000Z,2022-12-09T16:47:52.000Z,inist.osug,jbru,"Land surface exchange, water budget, energy budget, sahelian vegetation, evapo-transpiration, sahelian hydrology,Sahelian climate,Friction Velocity at height 4.5 m,Sensible Heat Flux at height 4.5 m,Sensible Heat Flux at height 20 m,Latent Heat Flux at height 4.5 m,Net Ecosystem Exchange of CO2 at height 4.5 m,Latent Heat Flux at height 20 m,Friction Velocity at height 20 m,Net Ecosystem Exchange of CO2 at height 20 m","[{'subject': 'Land surface exchange, water budget, energy budget, sahelian vegetation, evapo-transpiration, sahelian hydrology', 'subjectScheme': 'main'}, {'subject': 'Sahelian climate', 'subjectScheme': 'main'}, {'subject': 'Friction Velocity at height 4.5 m', 'subjectScheme': 'var'}, {'subject': 'Sensible Heat Flux at height 4.5 m', 'subjectScheme': 'var'}, {'subject': 'Sensible Heat Flux at height 20 m', 'subjectScheme': 'var'}, {'subject': 'Latent Heat Flux at height 4.5 m', 'subjectScheme': 'var'}, {'subject': 'Net Ecosystem Exchange of CO2 at height 4.5 m', 'subjectScheme': 'var'}, {'subject': 'Latent Heat Flux at height 20 m', 'subjectScheme': 'var'}, {'subject': 'Friction Velocity at height 20 m', 'subjectScheme': 'var'}, {'subject': 'Net Ecosystem Exchange of CO2 at height 20 m', 'subjectScheme': 'var'}]",,"['CSV', 'NETCDF', 'O&M 1.0']"
-10.17178/amma-catch.mali,"AMMA-CATCH observatory: Gourma mesoscale site (30 000 km2) in the Sahelian pastoral zone, Mali","IRD, CNRS-INSU, OSUG, OMP, OREME",2003,en,Dataset,"Creative Commons Attribution 4.0 International,Data access and use are ruled by the AMMA-CATCH data policy.,For any publication using AMMA-CATCH data, authors are asked to:
+Co-authorship: depending on the contribution of the data to the scientific results obtained, the authors should either propose co-authorship to the data providers or at least acknowledge their contribution.","Quantification of seasonal dynamics of herbaceous vegetation and tree foliage on sites for which the long term dynamics is also monitored (see CL.VegHerb_G). The main objectives are to analyze the different processes that control primary production and degradation of vegetation and to test models (e.g, STEP).",mds,True,findable,0,0,1,0,0,2018-03-16T15:37:06.000Z,2018-03-16T15:37:06.000Z,inist.osug,jbru,"Seasonal vegetation dynamics, herbs, tree foliage, vegetation phenology,Sahelian/Saharan climate,Foliage Clumping Index,Leaf Area Index,Vegetation Cover Fraction (from hemispherical photos),Vegetation Cover Fraction (from standard photos),Direct Fraction Of Absorbed Photosynthetically Active Radiation,Aboveground Herbaceous Mass,Aboveground Herbaceous Mass Standard Deviation,Diffuse Fraction Of Absorbed Photosynthetically Active Radiation,Plant Area Index","[{'subject': 'Seasonal vegetation dynamics, herbs, tree foliage, vegetation phenology', 'subjectScheme': 'main'}, {'subject': 'Sahelian/Saharan climate', 'subjectScheme': 'main'}, {'subject': 'Foliage Clumping Index', 'subjectScheme': 'var'}, {'subject': 'Leaf Area Index', 'subjectScheme': 'var'}, {'subject': 'Vegetation Cover Fraction (from hemispherical photos)', 'subjectScheme': 'var'}, {'subject': 'Vegetation Cover Fraction (from standard photos)', 'subjectScheme': 'var'}, {'subject': 'Direct Fraction Of Absorbed Photosynthetically Active Radiation', 'subjectScheme': 'var'}, {'subject': 'Aboveground Herbaceous Mass', 'subjectScheme': 'var'}, {'subject': 'Aboveground Herbaceous Mass Standard Deviation', 'subjectScheme': 'var'}, {'subject': 'Diffuse Fraction Of Absorbed Photosynthetically Active Radiation', 'subjectScheme': 'var'}, {'subject': 'Plant Area Index', 'subjectScheme': 'var'}]",,"['CSV', 'NETCDF', 'O&M 1.0']"
+10.17178/emaa_ortho-h2(18o)_rotation_1ee1c3c9,Rotation excitation of ortho-H2[18O] by H and electron collisions,"UGA, CNRS, CNRS-INSU, OSUG",2022,en,Dataset,"Please acknowledge the use of EMAA Database by citing the original articles in which the data were published (BibTeX format available), and adding the following sentence in your publication:
+This research has made use of spectroscopic and collisional data from the EMAA database (https://emaa.osug.fr). EMAA is supported by the Observatoire des Sciences de l'Univers de Grenoble (OSUG),Creative Commons Attribution 4.0 International,Data access and use are ruled by the EMAA data policy.",27 rotation energy levels / 70 radiative transitions / 351 collisional transitions for H (14 temperatures in the range 5-1500K) / 91 collisional transitions for electron (9 temperatures in the range 10-500K),mds,True,findable,0,0,0,0,0,2022-02-07T11:25:31.000Z,2022-02-07T11:25:32.000Z,inist.osug,jbru,"target ortho-H2[18O],excitationType Rotation,collisional excitation,collider.0 H,collider.1 electron,astrophysics,interstellar medium,comets,circumstellar medium,gas,microwave spectroscopy,infrared spectroscopy,rotational excitation,rovibrational excitation,vibrational excitation,electronic excitation,collisional rate coefficients,fine structure,hyperfine structure","[{'subject': 'target ortho-H2[18O]', 'subjectScheme': 'main'}, {'subject': 'excitationType Rotation', 'subjectScheme': 'main'}, {'subject': 'collisional excitation', 'subjectScheme': 'main'}, {'subject': 'collider.0 H', 'subjectScheme': 'var'}, {'subject': 'collider.1 electron', 'subjectScheme': 'var'}, {'subject': 'astrophysics', 'subjectScheme': 'var'}, {'subject': 'interstellar medium', 'subjectScheme': 'var'}, {'subject': 'comets', 'subjectScheme': 'var'}, {'subject': 'circumstellar medium', 'subjectScheme': 'var'}, {'subject': 'gas', 'subjectScheme': 'var'}, {'subject': 'microwave spectroscopy', 'subjectScheme': 'var'}, {'subject': 'infrared spectroscopy', 'subjectScheme': 'var'}, {'subject': 'rotational excitation', 'subjectScheme': 'var'}, {'subject': 'rovibrational excitation', 'subjectScheme': 'var'}, {'subject': 'vibrational excitation', 'subjectScheme': 'var'}, {'subject': 'electronic excitation', 'subjectScheme': 'var'}, {'subject': 'collisional rate coefficients', 'subjectScheme': 'var'}, {'subject': 'fine structure', 'subjectScheme': 'var'}, {'subject': 'hyperfine structure', 'subjectScheme': 'var'}]",,['Radex']
+10.18709/perscido.2021.09.ds334,High strain rate experiments on Colima andesite,PerSCiDo,2021,en,Dataset,,"Mechanical data of the 35 experiments done of Colima andesite samples at various strain rates. Datasets have 3 columns : time [s], strain [1] and stress [MPa].",fabrica,True,findable,0,0,0,0,0,2021-09-21T14:57:01.000Z,2021-09-21T14:57:01.000Z,inist.persyval,vcob,"Geology,FOS: Earth and related environmental sciences","[{'lang': 'en', 'subject': 'Geology'}, {'subject': 'FOS: Earth and related environmental sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}]",['10 MB'],
+10.17178/ohmcv.dsd.vb1.12-16.1,"DSD network, Villeneuve-de-Berg-1",CNRS - OSUG - OREME,2011,en,Dataset,"Data access and use are ruled by the OHMCV data policy.,The following acknowledging sentence should appear in publications using OHMCV data and products: ""OHMCV is funded by the Institut National des Sciences de l’Univers (INSU/CNRS) and the Observatoire des Sciences de l’Univers de Grenoble (OSUG / Université Grenoble Alpes)â€.",This dataset is part of the Cevennesâ€Vivarais Mediterranean Hydrometeorological Observatory (OHMCV),mds,True,findable,0,0,2,0,0,2017-10-17T13:24:23.000Z,2017-10-17T13:24:24.000Z,inist.osug,jbru,"Atmospheric conditions,Precipitation Rate,Droplet Size,DISDROMETERS,Ground networks,Hydrometeorological sites,Fixed Observation Stations","[{'subject': 'Atmospheric conditions', 'subjectScheme': 'main'}, {'subject': 'Precipitation Rate', 'subjectScheme': 'main'}, {'subject': 'Droplet Size', 'subjectScheme': 'main'}, {'subject': 'DISDROMETERS', 'subjectScheme': 'main'}, {'subject': 'Ground networks', 'subjectScheme': 'main'}, {'subject': 'Hydrometeorological sites', 'subjectScheme': 'main'}, {'subject': 'Fixed Observation Stations', 'subjectScheme': 'main'}]",,['NETCDF']
+10.17178/ohmcv.dsd.tou.12-16.1,"DSD network, Tourgueille",CNRS - OSUG - OREME,2012,en,Dataset,"Data access and use are ruled by the OHMCV data policy.,The following acknowledging sentence should appear in publications using OHMCV data and products: ""OHMCV is funded by the Institut National des Sciences de l’Univers (INSU/CNRS) and the Observatoire des Sciences de l’Univers de Grenoble (OSUG / Université Grenoble Alpes)â€.",This dataset is part of the Cevennesâ€Vivarais Mediterranean Hydrometeorological Observatory (OHMCV),mds,True,findable,0,0,1,0,0,2017-10-17T13:24:21.000Z,2017-10-17T13:24:21.000Z,inist.osug,jbru,"Atmospheric conditions,Precipitation Rate,Droplet Size,DISDROMETERS,Ground networks,Hydrometeorological sites,Fixed Observation Stations","[{'subject': 'Atmospheric conditions', 'subjectScheme': 'main'}, {'subject': 'Precipitation Rate', 'subjectScheme': 'main'}, {'subject': 'Droplet Size', 'subjectScheme': 'main'}, {'subject': 'DISDROMETERS', 'subjectScheme': 'main'}, {'subject': 'Ground networks', 'subjectScheme': 'main'}, {'subject': 'Hydrometeorological sites', 'subjectScheme': 'main'}, {'subject': 'Fixed Observation Stations', 'subjectScheme': 'main'}]",,['NETCDF']
+10.17178/gnss.products.all,GNSS position and velocity solutions,"CNRS, OSUG, ISTERRE",2019,en,Dataset,"License: CC BY-NC-ND 4.0,Data access and use are ruled by the OSUG data policy.,The following acknowledging sentence should appear in publications using ISTerre GNSS products: ""GNSS products are calculated and provided by the Institut of Sciences de la Terre (ISTerre), belonging to the Institut National des Sciences de l’Univers (INSU/CNRS) and the Observatoire des Sciences de l’Univers de Grenoble (OSUG / Université Grenoble Alpes)"".
+You are invited to contact the PI(s) or lead scientist for more information about the data and to include the acknowledgement sentence in any publication using the data.","GNSS data are acquired and/or analyzed by the ISTerre laboratory, part of the Observatory of Earth Sciences and Astronomy of Grenoble (OSUG). GNSS data from permanent sites are processed. Different areas in the world are processed, corresponding to different research projects. ISTerre provides the processing solutions, i.e. position and velocity for each GNSS site. A specific DOI is allocated for those solutions, as well as for RInEx data when relevant.",mds,True,findable,0,0,1,0,0,2019-04-05T10:19:17.000Z,2019-04-05T10:19:17.000Z,inist.osug,jbru,"GNSS products,Velocity field,GNSS data analysis,Time serie positioning","[{'subject': 'GNSS products', 'subjectScheme': 'main'}, {'subject': 'Velocity field', 'subjectScheme': 'var'}, {'subject': 'GNSS data analysis', 'subjectScheme': 'var'}, {'subject': 'Time serie positioning', 'subjectScheme': 'var'}]",,"['pos', 'PBO']"
+10.17178/snouf.2022,"SNOUF: Snow Under Forest. Snow, forest and meteorological measurements at Col de Porte","OSUG, Meteo France, CNRS, IRD, INRAE",2022,en,Dataset,"Creative Commons Attribution 4.0 International,The following sentence should appear in the acknowledgments of the publication:
+""This project has been conducted within the grant Labex OSUG@2020 ANR10 LABX56 UGA and with financial supports from the IGE and the CEN""","Forests strongly modify the accumulation, metamorphism and melting of snow in mid and high-latitude regions. Recently, snow routines in hydrological and land surface models have been improved to incorporate more accurate representations of forest snow processes but model inter-comparison projects have pointed deficiencies, partly due incomplete knowledge of the processes controlling snow cover in forests. The Snow Under Forest project was initiated to enhance knowledge of the complex interactions between snow and vegetation. Two field campaigns, during the winters 2016-17 and 2017-18, have been conducted in a conifer forest bordering the site study of Col de Porte (1325 m asl, French Alps) in order to document the snow accumulation and ablation processes. This paper presents the field site, instrumentation, and collection methods. The observations include: forest characteristics (tree inventory, LIDAR measurements of forest structure, sub-canopy hemispherical photographs…), meteorology (automatic weather station and radiometers array), snow cover and depth (snow poles transect and laser scan), and snow interception by the canopy during precipitation events. The weather station installed under dense canopy during the first campaign has been maintained since then and provides continuous measurements throughout the year since 2018.",mds,True,findable,0,0,2,0,0,2022-09-26T08:23:50.000Z,2022-09-26T08:23:51.000Z,inist.osug,jbru,"forest measurements,snow measurements,meteorological measurements","[{'subject': 'forest measurements', 'subjectScheme': 'main'}, {'subject': 'snow measurements', 'subjectScheme': 'main'}, {'subject': 'meteorological measurements', 'subjectScheme': 'main'}]",['285 Mb'],"['CSV', 'NetCDF', 'XLS']"
+10.17178/emaa_heh-plus_rotation_2ccc89ee,Rotation excitation of HeH+ by H and electron collisions,"UGA, CNRS, CNRS-INSU, OSUG",2021,en,Dataset,"Please acknowledge the use of EMAA Database by citing the original articles in which the data were published (BibTeX format available), and adding the following sentence in your publication:
+This research has made use of spectroscopic and collisional data from the EMAA database (https://emaa.osug.fr). EMAA is supported by the Observatoire des Sciences de l'Univers de Grenoble (OSUG),Creative Commons Attribution 4.0 International,Data access and use are ruled by the EMAA data policy.",12 rotation energy levels / 11 radiative transitions / 57 collisional transitions for electron (12 temperatures in the range 10-3000K) / 45 collisional transitions for H (18 temperatures in the range 10-500K),mds,True,findable,0,0,0,0,0,2021-11-18T13:35:10.000Z,2021-11-18T13:35:10.000Z,inist.osug,jbru,"target HeH+,excitationType Rotation,collisional excitation,collider.0 electron,collider.1 H,astrophysics,interstellar medium,comets,circumstellar medium,gas,microwave spectroscopy,infrared spectroscopy,rotational excitation,rovibrational excitation,vibrational excitation,electronic excitation,collisional rate coefficients,fine structure,hyperfine structure","[{'subject': 'target HeH+', 'subjectScheme': 'main'}, {'subject': 'excitationType Rotation', 'subjectScheme': 'main'}, {'subject': 'collisional excitation', 'subjectScheme': 'main'}, {'subject': 'collider.0 electron', 'subjectScheme': 'var'}, {'subject': 'collider.1 H', 'subjectScheme': 'var'}, {'subject': 'astrophysics', 'subjectScheme': 'var'}, {'subject': 'interstellar medium', 'subjectScheme': 'var'}, {'subject': 'comets', 'subjectScheme': 'var'}, {'subject': 'circumstellar medium', 'subjectScheme': 'var'}, {'subject': 'gas', 'subjectScheme': 'var'}, {'subject': 'microwave spectroscopy', 'subjectScheme': 'var'}, {'subject': 'infrared spectroscopy', 'subjectScheme': 'var'}, {'subject': 'rotational excitation', 'subjectScheme': 'var'}, {'subject': 'rovibrational excitation', 'subjectScheme': 'var'}, {'subject': 'vibrational excitation', 'subjectScheme': 'var'}, {'subject': 'electronic excitation', 'subjectScheme': 'var'}, {'subject': 'collisional rate coefficients', 'subjectScheme': 'var'}, {'subject': 'fine structure', 'subjectScheme': 'var'}, {'subject': 'hyperfine structure', 'subjectScheme': 'var'}]",,['Radex']
+10.48537/hal-03220285,"Reusing Atmospheres, The Case of the Adaptive Reuse of the Lombroso Pavilion",Reseau International Ambiances,2020,en,Text,Creative Commons Attribution Non Commercial No Derivatives 2.0 Generic,"The paper is a contribution to the analysis of the role and nature of the built en- vironment in mind museums – former asylums turned into museums. It notably focuses on the adaptive reuse intervention implied in the design of these museums by revolving around the concept of atmosphere. By building on the case of the Museum of the History of Psychiatry in Reggio Emilia (IT) the paper examines how the peculiar atmosphere of the museum premise has been in play and worked out in the museum design. In doing so, it posits atmosphere as a designerly element alike other material and immaterial ones characterising the site and points out how such a perspective can provide a fruitful position for delving into the role of design in the overall project of a mind museum.",mds,True,findable,0,0,0,0,0,2021-06-17T20:45:57.000Z,2021-06-17T20:45:57.000Z,jbru.aau,jbru,"Adaptive Reuse,Mind Museums,Atmosphere,Museum Design","[{'lang': 'eng', 'subject': 'Adaptive Reuse'}, {'lang': 'eng', 'subject': 'Mind Museums'}, {'lang': 'eng', 'subject': 'Atmosphere'}, {'lang': 'eng', 'subject': 'Museum Design'}]",['6 pages'],['application/pdf']
+10.48537/hal-03220333,Spatial Design Praxis Using the Sound Sketching Environment Tool “Esquis’Sonsâ€,Reseau International Ambiances,2020,en,Text,Creative Commons Attribution Non Commercial No Derivatives 2.0 Generic,"Open-air amphitheaters are one of the most characteristic manifestations of Ancient Greek architecture. From an architectural renovation perspective, the legal frame- work results in minimal re-constructions of archaeological sites emphasizing on minimum interventions and low footprint impact. Contrary to the established treaty, this document addresses the rehabilitation of the selected site based on the use of the sound sketch software Esquis’Sons (Marchal, 2015) that allows you to sketch and hear sound scenes generated from a 3D digital model. By making a study based on in-situ recordings and using them in the sound sketch tool, one virtually builds a sound environment “in the making.†Multiple sound scenarios are then tested and used as feedback for spatial decision making.",mds,True,findable,0,0,0,0,0,2021-06-17T16:47:25.000Z,2021-06-17T16:47:25.000Z,jbru.aau,jbru,"Sound Sketch,Esquis’Sons,Ambiance,Soundscape,In-Situ,Virtual,3D Model","[{'lang': 'eng', 'subject': 'Sound Sketch'}, {'lang': 'eng', 'subject': 'Esquis’Sons'}, {'lang': 'eng', 'subject': 'Ambiance'}, {'lang': 'eng', 'subject': 'Soundscape'}, {'lang': 'eng', 'subject': 'In-Situ'}, {'lang': 'eng', 'subject': 'Virtual'}, {'lang': 'eng', 'subject': '3D Model'}]",['6 pages'],['application/pdf']
+10.5061/dryad.wm37pvmkw,"Forest inventory data from Finland and Sweden for: Demographic performance of European tree species at their hot and cold climatic edges, plus ancillary climate data",Dryad,2020,en,Dataset,Creative Commons Zero v1.0 Universal,"1. Species range limits are thought to result from a decline in demographic performance at range edges. However, recent studies reporting contradictory patterns in species demographic performance at their edges cast doubt on our ability to predict climate change demographic impacts. To understand these inconsistent demographic responses at the edges, we need to shift the focus from geographic to climatic edges and analyse how species responses vary with climatic constraints at the edge and species’ ecological strategy. 2. Here we parameterised integral projection models with climate and competition effects for 27 tree species using forest inventory data from over 90,000 plots across Europe. Our models estimate size-dependent climatic responses and evaluate their effects on two life trajectory metrics: lifespan and passage time - the time to grow to a large size. Then we predicted growth, survival, lifespan, and passage time at the hot and dry or cold and wet edges and compared them to their values at the species climatic centre to derive indices of demographic response at the edge. Using these indices, we investigated whether differences in species demographic response between hot and cold edges could be explained by their position along the climate gradient and functional traits related to their climate stress tolerance. 3. We found that at cold and wet edges of European tree species, growth and passage time were constrained, whereas at their hot and dry edges, survival and lifespan were constrained. Demographic constraints at the edge were stronger for species occurring in extreme conditions, i.e. in hot edges of hot-distributed species and cold edges of cold-distributed species. Species leaf nitrogen content was strongly linked to their demographic responses at the edge. In contrast, we found only weak links with wood density, leaf size, and xylem vulnerability to embolism. 4. Synthesis. Our study presents a more complicated picture than previously thought with demographic responses that differ between hot and cold edges. Predictions of climate change impacts should be refined to include edge and species characteristics.",mds,True,findable,609,40,0,3,0,2020-10-19T20:59:17.000Z,2020-10-19T20:59:18.000Z,dryad.dryad,dryad,"FOS: Natural sciences,FOS: Natural sciences,vitale rate","[{'subject': 'FOS: Natural sciences', 'subjectScheme': 'fos'}, {'subject': 'FOS: Natural sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'vitale rate'}]",['26769397 bytes'],
+10.6084/m9.figshare.24647123,Additional file 1 of Effects of a physical activity and endometriosis-based education program delivered by videoconference on endometriosis symptoms: the CRESCENDO program (inCRease physical Exercise and Sport to Combat ENDOmetriosis) protocol study,figshare,2023,,Text,Creative Commons Attribution 4.0 International,Additional file 1. Randomization script,mds,True,findable,0,0,0,0,0,2023-11-28T04:40:37.000Z,2023-11-28T04:40:37.000Z,figshare.ars,otjm,"Medicine,Genetics,FOS: Biological sciences,Physiology,Science Policy,Sociology,FOS: Sociology,Biological Sciences not elsewhere classified","[{'subject': 'Medicine'}, {'subject': 'Genetics'}, {'subject': 'FOS: Biological sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Physiology'}, {'subject': 'Science Policy'}, {'subject': 'Sociology'}, {'subject': 'FOS: Sociology', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Biological Sciences not elsewhere classified'}]",['12261 Bytes'],
+10.48537/hal-03220331,"A Workshop on Sonic Ambiances at the School of Architecture of the University of Talca, Chile, Instrumental Condition of Space",Reseau International Ambiances,2020,en,Text,Creative Commons Attribution Non Commercial No Derivatives 2.0 Generic,"This teaching-and-learning event was held at the University of Talca which has a twenty-year-old educational programme in Chile Ìs Central Valley. Today, this region is involved in a fast process of transformation, due to new economic activities that are having a strong impact on the way of life. However, a rich collective imaginary still persists. Throughout this workshop on the sonic dimen- sion, the resources used were based on the soundscape approach, the paradigm of citizen science and the use of mobile phones. Other tools used were light beams and paper models to further develop the sensory experience. An assessment of the process added new data on how the learning process has been enriched.",mds,True,findable,0,0,0,0,0,2021-06-17T10:17:47.000Z,2021-06-17T10:17:47.000Z,jbru.aau,jbru,"Sonic Environment,Sensitive Learning,Pedagogy of Architecture","[{'lang': 'eng', 'subject': 'Sonic Environment'}, {'lang': 'eng', 'subject': 'Sensitive Learning'}, {'lang': 'eng', 'subject': 'Pedagogy of Architecture'}]",['6 pages'],['application/pdf']
+10.48537/hal-03220275,"Temporary Altered Perception of Birth Space Ambiances, Case of Women in Labor",Reseau International Ambiances,2020,en,Text,Creative Commons Attribution Non Commercial No Derivatives 2.0 Generic,"The “birth event†is considered as an altered ambiantal situation since it affects woman sensibility and causes a temporary alteration of her birth space perception. The study focuses on a spatial characterization of ambiances and analysis of stress level of woman in labor in the Maternity and Neonatology Center of Tunis-Tunisia, captured through ElectroDermal Activity (EDA). This study highlights correlation between stressful ambiantal situations, architectural aspects of the birth space and altered perception of women in labor. Capturing emotions and analyzing their impact on perceiving spaces is susceptible to renew the way of understanding ambiances.",mds,True,findable,0,0,0,0,0,2021-06-17T16:47:59.000Z,2021-06-17T16:48:00.000Z,jbru.aau,jbru,"Altered Perception,Birth Space,Woman in Labor,Ambiantal Situations","[{'lang': 'eng', 'subject': 'Altered Perception'}, {'lang': 'eng', 'subject': 'Birth Space'}, {'lang': 'eng', 'subject': 'Woman in Labor'}, {'lang': 'eng', 'subject': 'Ambiantal Situations'}]",['6 pages'],['application/pdf']
+10.5281/zenodo.6448390,"Dataset for the paper ""Imaging evolution of Cascadia slow‑slip event using high‑rate GPS""",Zenodo,2022,en,Dataset,"Creative Commons Attribution 4.0 International,Open Access","Slip and slip rate files for the preferred model of Itoh, Aoki, and Fukuda (2022, Scientific Reports, doi:10.1038/s41598-022-10957-8). Please see readme.txt for further details. The corresponding author information is also available there. Caution: the dataset has the size of 4.3GB after uncompression/extraction.",mds,True,findable,0,0,0,1,0,2022-04-19T13:23:52.000Z,2022-04-19T13:23:56.000Z,cern.zenodo,cern,"Slow slip,SSE,Cascadia","[{'subject': 'Slow slip'}, {'subject': 'SSE'}, {'subject': 'Cascadia'}]",,
+10.48537/hal-03220249,"At the Edges of the Phenomenal, The Design of Architectural and Urban Ambiances as a Reconciliation Between Ourselves and the World",Reseau International Ambiances,2020,en,Text,Creative Commons Attribution Non Commercial No Derivatives 2.0 Generic,"The limits of sensory apprehension can take different forms: phenomena can be so tenuous that they do not necessarily reach consciousness; habit can bring them out as missing; they can also manifest only in a delayed manner, primarily through their sensory consequences; and finally, devices – such as a digital display – can bring them back into the realm of human perception. This paper first seeks to explore their integration into the lived ambiances, especially from the contem- porary geophysical and climatological expla- nations. Then it questions how architecture and urban design can, through new attention to these limits of the phenomenal, contribute to the readability of the world and collective response-abilities at the time of the entry of humanity into the Anthropocene.",fabrica,True,findable,0,0,0,0,0,2021-06-16T16:30:43.000Z,2021-06-16T16:30:44.000Z,jbru.aau,jbru,"Phenomenology,Environmental,Design,Gaia Hypothesis,Anthropocene","[{'lang': 'eng', 'subject': 'Phenomenology'}, {'lang': 'eng', 'subject': 'Environmental'}, {'lang': 'eng', 'subject': 'Design'}, {'lang': 'eng', 'subject': 'Gaia Hypothesis'}, {'lang': 'eng', 'subject': 'Anthropocene'}]",['6 pages'],['application/pdf']
+10.17178/emaa_sio_rotation_424f5a89,"Rotation excitation of SiO by electron, ortho-H2 and para-H2 collisions","UGA, CNRS, CNRS-INSU, OSUG",2021,en,Dataset,"Please acknowledge the use of EMAA Database by citing the original articles in which the data were published (BibTeX format available), and adding the following sentence in your publication:
+This research has made use of spectroscopic and collisional data from the EMAA database (https://emaa.osug.fr). EMAA is supported by the Observatoire des Sciences de l'Univers de Grenoble (OSUG),Creative Commons Attribution 4.0 International,Data access and use are ruled by the EMAA data policy.",41 rotation energy levels / 40 radiative transitions / 210 collisional transitions for para-H2 (17 temperatures in the range 5-300K) / 210 collisional transitions for ortho-H2 (17 temperatures in the range 5-300K) / 292 collisional transitions for electron (11 temperatures in the range 10-2000K),mds,True,findable,0,0,0,0,0,2022-02-07T11:26:25.000Z,2022-02-07T11:26:26.000Z,inist.osug,jbru,"target SiO,excitationType Rotation,collisional excitation,collider.0 para-H2,collider.1 ortho-H2,collider.2 electron,astrophysics,interstellar medium,comets,circumstellar medium,gas,microwave spectroscopy,infrared spectroscopy,rotational excitation,rovibrational excitation,vibrational excitation,electronic excitation,collisional rate coefficients,fine structure,hyperfine structure","[{'subject': 'target SiO', 'subjectScheme': 'main'}, {'subject': 'excitationType Rotation', 'subjectScheme': 'main'}, {'subject': 'collisional excitation', 'subjectScheme': 'main'}, {'subject': 'collider.0 para-H2', 'subjectScheme': 'var'}, {'subject': 'collider.1 ortho-H2', 'subjectScheme': 'var'}, {'subject': 'collider.2 electron', 'subjectScheme': 'var'}, {'subject': 'astrophysics', 'subjectScheme': 'var'}, {'subject': 'interstellar medium', 'subjectScheme': 'var'}, {'subject': 'comets', 'subjectScheme': 'var'}, {'subject': 'circumstellar medium', 'subjectScheme': 'var'}, {'subject': 'gas', 'subjectScheme': 'var'}, {'subject': 'microwave spectroscopy', 'subjectScheme': 'var'}, {'subject': 'infrared spectroscopy', 'subjectScheme': 'var'}, {'subject': 'rotational excitation', 'subjectScheme': 'var'}, {'subject': 'rovibrational excitation', 'subjectScheme': 'var'}, {'subject': 'vibrational excitation', 'subjectScheme': 'var'}, {'subject': 'electronic excitation', 'subjectScheme': 'var'}, {'subject': 'collisional rate coefficients', 'subjectScheme': 'var'}, {'subject': 'fine structure', 'subjectScheme': 'var'}, {'subject': 'hyperfine structure', 'subjectScheme': 'var'}]",,['Radex']
+10.25519/6w2g-dr94,Lithological heterogeneities below the KÄ«lauea caldera before its 2018 collapse inferred from ground magnetic anomalies,"OPGC, LMV",2023,,Dataset,Creative Commons Attribution 4.0 International,,fabricaForm,True,findable,0,0,0,0,0,2023-10-03T15:50:30.000Z,2023-10-03T15:50:30.000Z,inist.opgc,jbru,,,,
+10.5281/zenodo.7195152,Data Used in [~Re] Setting Inventory Levels in a Bike Sharing Network,Zenodo,2022,,Dataset,"Creative Commons Attribution 4.0 International,Open Access","Data used to reproduce the publication ""Setting an Inventory Levels in a Bike Sharing Network"" by Datner et al. This data correspond to the scenarios generated from the parameters given by the authors.",mds,True,findable,0,0,0,0,0,2022-10-13T17:53:59.000Z,2022-10-13T17:53:59.000Z,cern.zenodo,cern,"Reproduction,FOS: Medical biotechnology,Bike Sharing System,Optimization","[{'subject': 'Reproduction'}, {'subject': 'FOS: Medical biotechnology', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Bike Sharing System'}, {'subject': 'Optimization'}]",,
+10.48537/hal-03220347,How Surfing Creates an Ecosystem? An Investigation about Surfers in Madagascar,Reseau International Ambiances,2020,en,Text,Creative Commons Attribution Non Commercial No Derivatives 2.0 Generic,"As a part of my research, I am investigating what surfing means to individuals who define themselves as surfers. The qualitative survey I led a month in Madagascar allowed to grasp the complexity of a surfer’s identity construction and the ways individuals appropriate a globalised practice. Cultural geography and maritime anthropology are the research fields I focused on to apprehend the interactions between the respondents and their environments, and also with themselves. Indeed, surfing does not only consist in a physical practice in waves using a board. It is rather a complex whole including an intellec- tual and physical work on oneself, leading to the development of alloæsthesia, which allows to learn how to feel movements produced by oneself but also by all kinds of surroundings.",mds,True,findable,0,0,0,0,0,2021-06-17T09:44:11.000Z,2021-06-17T09:44:12.000Z,jbru.aau,jbru,"Surfing,Madagascar,Individual,Ocean,Identity,Movement,Feel,Experience,Body","[{'lang': 'eng', 'subject': 'Surfing'}, {'lang': 'eng', 'subject': 'Madagascar'}, {'lang': 'eng', 'subject': 'Individual'}, {'lang': 'eng', 'subject': 'Ocean'}, {'lang': 'eng', 'subject': 'Identity'}, {'lang': 'eng', 'subject': 'Movement'}, {'lang': 'eng', 'subject': 'Feel'}, {'lang': 'eng', 'subject': 'Experience'}, {'lang': 'eng', 'subject': 'Body'}]",['6 pages'],['application/pdf']
+10.17178/cryobsclim.clb.all,Cryobs-Clim-CLB / Col du Lac Blanc : a meteorological and blowing snow observatory,CNRS - OSUG - Meteo France - Irstea,2000,en,Dataset,"Data access and use are ruled by the CRYOBS-CLIM data policy.,Always quote below citation to Guyomarch et al. (2019) when using data.
+G. Guyomarc'h, H. bellot, V. Vionnet, F. Naaim-Bouvet, Y. Deliot, F. Fontaine, P. Pugliese, M. Naaim, K. Nishimura, A meteorological and blowing snow data set (2000-2016) from a high altitude alpine site (Col du Lac Blanc, France, 2720 m a.s.l), Earth System Science Data, 11(2019), 57-69, https://doi.org/10.5194/essd-11-57-2019. The following acknowledging sentence should appear in publications using Cryobs-Clim-CLB data and products: ""Cryobs-Clim Col du Lac Blanc is funded by Meteo France, Irstea, the Institut National des Sciences de l’Univers (INSU/CNRS), and the Observatoire des Sciences de l’Univers de Grenoble (OSUG / Université Grenoble Alpes)â€. You are invited to contact the PI(s) or lead scientist for more information about the data and to include the acknowledgement sentence in any publication using the data.","The Col du Lac Blanc observatory is located near l'Alpe d'Huez resort in the Grandes-Rousses massif and is dedicated to study interactions between the cryosphere and the atmosphere at high altitude, with a focus on blowing and drifting snow studies. The site is managed by Météo-France (CNRM/CEN) and IRSTEA (Université Grenoble Alpes). It comprises four stations: Lac Blanc (CRYOBSCLIM.CLB.LACBLANC), La Muzelle (CRYOBSCLIM.CLB.LAMUZELLE), Dome (CRYOBSCLIM.CLB.DOME) and Col (CRYOBSCLIM.CLB.COL). This data is complemented by dataset containing information on hourly blowing snow occurrence relying on an empirical method at Col du Lac Blanc (CRYOBSCLIM.CLB.BSO) and continuous hourly meteorological output of the SAFRAN meteorological analysis system (CRYOBSCLIM.CLB.SAFRAN).The Digital Elevation Model of the study area (1,5 km²) at 1-m resolution is also provided in RGF 93 Lambert 93 coordinates (CRYOBSCLIM.CLB.DEM). The pass orientation and the specific configuration of the surrounding summits make it closely resemble a natural wind tunnel. The north–south direction accounts for 90% of the wind directions. Aeolian snow transport is observed 10% of the time in winter and occurs with concurrent snowfall 37% of the time (Vionnet et al. 2013). The experimental site and related instrumentation are described in details in Guyomarc’h et al. (2018). Available data acquired during winter seasons include wind speed and direction, drifting snow fluxes, snow height, air temperature. Humidity, precipitation, incoming shortwave and longwave radiation from reanalysis are also included. Data have been used to evaluate and develop physical parameterizations of blowing and drifting snow in alpine terrain. Snowpack models and atmospheric models simulating wind-induced snow transport have also been evaluated at this site. Finally, Col du Lac Blanc is a target site to evaluate Numerical Weather Prediction (NWP) models in alpine terrain. Cryobs-Clim-CLB is a Cryonet site of Global Cryosphere Watch (WMO), a member of the International Network for Alpine Research Catchment Hydrology (INARCH) and a part of OZCAR Infrastructure.",mds,True,findable,0,0,1,0,0,2018-04-09T10:16:33.000Z,2018-04-09T10:16:34.000Z,inist.osug,jbru,"Alpine climate,Meteorology,Blowing snow,Snowpack","[{'subject': 'Alpine climate', 'subjectScheme': 'main'}, {'subject': 'Meteorology', 'subjectScheme': 'var'}, {'subject': 'Blowing snow', 'subjectScheme': 'var'}, {'subject': 'Snowpack', 'subjectScheme': 'var'}]",,['CSV']
+10.5281/zenodo.5793694,Nitrate δ15N values and surface mass balance reconstructions from East Antarctica,Zenodo,2021,en,Dataset,"Creative Commons Attribution 4.0 International,Open Access","Geographic information, surface mass balance (SMB) data, and sub-photic zone (>0.3 m) nitrate concentration and nitrogen isotopic composition (δ15NNO3) for 135 sites across East Antarctica. This database was used to examine and define the relationship between δ15NNO3 and SMB in Antarctica as part of the SCADI (Snow Core Accumulation from Delta-15N Isotopes) and EAIIST (East Antarctic International Ice Sheet Traverse) projects. Of these 135 sites, 92 are newly reported here while the other site data were previously published and are cited accordingly. Snow bearing nitrate was sampled from snow pits and firn/ice cores at different dates depending on the original scientific campaign, but predominately between 2010 and 2020, with the earliest sampling occurring in 2004. Nitrate was later extracted from the snow, concentrated, and analyzed for δ15NNO3. Surface mass balance data comes from a combination of previous ground-based observations (e.g., stakes, ice core data) and the output from Modèle Atmosphérique Régional version 3.6.4 with European Centre for Medium-Range Weather Forecasts “Interim†re-analysis data (ERA-interim) data, adjusted for observed model SMB biases. Elevation data were extracted from the Reference Elevation Model of Antarctica (REMA, https://doi.org/10.5194/tc-13-665-2019). Also contains nitrate concentration and isotopic (δ15NNO3) data, ice density, and surface mass balance estimates from the ABN1314-103 ice core. This 103 m long core was drilled beginning on 07 January 2014 as one of three ice cores at Aurora Basin North, Antarctica (-71.17, 111.37, 2679 m.a.s.l), in the 2013-2014 field season. The age-depth model for ABN1314-103 was matched through ion profiles from an annually-resolved model (ALC01112018) originally developed for one of the other ABN cores through seasonal ion and water isotope cycles and constrained by volcanic horizons. Each 1 m segment of the core was weighed and measured for ice density calculations, and then sampled for nitrate at 0.33 m resolution. Nitrate concentrations were taken on melted ice aliquots with ion chromatography, while isotopic analysis was achieved through bacterial denitrification and MAT 253 mass spectrometry after concentrating with anionic resin. Using the density data and the age-depth model’s dates for the top and bottom of each 1 m core segment, we reconstructed a history of surface mass balance changes as recorded in ABN1314-103. Additionally, we also estimated the effect of upstream topographic changes on the ice core’s surface mass balance record through a ground penetrating radar transect that extended 11.5 km against the direction of glacial ice flow. The modern SMB changes along this upstream transect were linked to ABN1314-103 core depths by through the local horizontal ice flow rate (16.2 m a-1) and the core’s age-depth model, and included here for comparative analysis.",mds,True,findable,0,0,0,0,0,2021-12-20T14:57:45.000Z,2021-12-20T14:57:45.000Z,cern.zenodo,cern,,,,
+10.17178/teil_lidar,Le Teil earthquake high resolution Lidar survey for the surface rupture,"IRD, CNRS-INSU",2020,fr,Dataset,"Creative Commons Attribution 4.0 International,The following sentence should appear in the acknowledgments of the publication: ""This dataset collection was supported by the INSU-CNRS, the “Failles actives France†program (FACT) of the Transverse Seismicity Action (ATS) of the French Seismologic and Geodetic Network RESIF, the IRD “Institute de Recherche pour le Développement"" in ISTerre and OSUG, at Université de Grenoble Alpes.""","Le 11 novembre 2019 à 10h52 un séisme d'une magnitude 5,2 MLv se produit à proximité de Montélimar. Une mission de terrain visant à cartographier la rupture au sol résultant du séisme a été organisée. Elle a fait appel à des instruments au sol, mais également dans les airs. Données LIDAR et nuage de points de mesure acquis sur la zone où les ruptures de surface ont été observées au sol. Acquisition LIDAR aéroporté lors du survol de la zone en hélicoptère. Les axes sont en mètres. Ces mesures pourront compléter l’inventaire des évidences de rupture effectué au sol, avec un cadre plus large et plus homogène (qui permet de s’abstraire de la couverture végétale notamment dans cette zone très boisée). Cette mission de cartographie s’inscrit dans une large mobilisation de la communauté scientifique nationale (INSU), et notamment de l'infrastructure de recherche RESIF et de l'action FACT. Cette infrastructure de recherche nationale est dédiée à l’observation et la compréhension de la structure et de la dynamique Terre interne. RESIF se base sur des réseaux d’observation de haut niveau technologique, composés d’instruments sismologiques, géodésiques et gravimétriques déployés de manière dense sur tout le territoire français. Les données recueillies permettent d’étudier avec une haute résolution spatio-temporelle la déformation du sol, les structures superficielles et profondes, la sismicité à l’échelle locale et globale et les aléas naturels, et plus particulièrement sismiques, sur le territoire français. RESIF s’intègre aux dispositifs européens (EPOS - European Plate Observing System) et mondiaux d’instruments permettant d’imager l’intérieur de la Terre dans sa globalité et d’étudier de nombreux phénomènes naturels.",mds,True,findable,0,0,0,0,0,2022-02-07T09:24:32.000Z,2022-02-07T09:24:32.000Z,inist.osug,jbru,"Digital Elevation Model,High resolution topographic data,post seismic acquisition","[{'subject': 'Digital Elevation Model', 'subjectScheme': 'main'}, {'subject': 'High resolution topographic data', 'subjectScheme': 'main'}, {'subject': 'post seismic acquisition', 'subjectScheme': 'main'}]",,
+10.48537/hal-03220335,"Entangled Ambiance, Bodily Practices as a Fundamental Instance for Founding the Places",Reseau International Ambiances,2020,en,Text,Creative Commons Attribution Non Commercial No Derivatives 2.0 Generic,"In face of changes on living collec- tivity and human bonds on the informational age, we question which mechanisms preserve the capacity to promote a shift in the cen- trality of the subject towards the acceptance of alterity and differences. This operation is important for maintaining social cohesion and constructing public spaces as truly democratic places. In this sense, we briefly analyze the Maua Square, Rio de Janeiro, Brazil, a touristic spot that contains many layers of history and uses. This study shows how the same physical space can be characterized by an entangled ambiance that simultaneously harbor distinct microenvironments, offering multiple possi- bilities of engagement and indicating that the mode of attention can be decisive in establishing the constitution of the place.",mds,True,findable,0,0,0,0,0,2021-06-17T10:17:19.000Z,2021-06-17T10:17:20.000Z,jbru.aau,jbru,"Cities,Collectivity,Multiplicity,Social Bonds,Entangled Ambiances","[{'lang': 'eng', 'subject': 'Cities'}, {'lang': 'eng', 'subject': 'Collectivity'}, {'lang': 'eng', 'subject': 'Multiplicity'}, {'lang': 'eng', 'subject': 'Social Bonds'}, {'lang': 'eng', 'subject': 'Entangled Ambiances'}]",['6 pages'],['application/pdf']
+10.5281/zenodo.4761291,"Figs. 4-5 in Two New Species Of Dictyogenus Klapálek, 1904 (Plecoptera: Perlodidae) From The Jura Mountains Of France And Switzerland, And From The French Vercors And Chartreuse Massifs",Zenodo,2019,,Image,"Creative Commons Attribution 4.0 International,Open Access","Figs. 4-5. Dictyogenus jurassicum sp. n., adult male. 4. Hemitergal lobe, lateral view. Karstic spring at Charabotte Mill, Ain dpt, France. Photo B. Launay. 5. Epiproct and lateral stylet, lateral view. Karstic spring at Charabotte Mill, Ain dpt, France. Photo B. Launay.",mds,True,findable,0,0,4,0,0,2021-05-14T07:43:23.000Z,2021-05-14T07:43:24.000Z,cern.zenodo,cern,"Biodiversity,Taxonomy,Animalia,Arthropoda,Insecta,Plecoptera,Perlodidae,Dictyogenus","[{'subject': 'Biodiversity'}, {'subject': 'Taxonomy'}, {'subject': 'Animalia'}, {'subject': 'Arthropoda'}, {'subject': 'Insecta'}, {'subject': 'Plecoptera'}, {'subject': 'Perlodidae'}, {'subject': 'Dictyogenus'}]",,
+10.18709/perscido.2020.05.ds314,Snow albedo over artificial macroscopic surface roughness,PerSciDo,2020,en,Dataset,Creative Commons Attribution 4.0 International,"In situ measurements of albedo were acquired in the French Alps over smooth and rough snow surfaces. The roughness features were artificially created by pushing the snow down a few centimeter with rectangular and triangular rulers (2.5 m long) at regular spacing over a 2.5 m wide area. Spectral albedo over the rough area was recorded just after the creation, or for some experiment regularly over a few hours after the creation. A nearby smooth area was also measured to provide a reference. It is worth noting that despite our effort to search for flat areas, all the measured areas have small yet non-negligible slope. Ancillary data include spectral diffuse / total incident radiation ratio acquired just after each albedo measurements, slope information and other metadata. The accompanying paper provides full details of the roughness and experimental conditions.",fabrica,True,findable,0,0,0,1,0,2020-05-15T14:03:52.000Z,2020-05-15T14:03:53.000Z,inist.persyval,vcob,"Environmental Science and Ecology,Physics","[{'lang': 'en', 'subject': 'Environmental Science and Ecology'}, {'lang': 'en', 'subject': 'Physics'}]",['10 MB'],['csv']
+10.48537/hal-03220381,"Atmosphere, Resonance, and Immanent Transcendence, Rethinking the Aesthetic Experience as a Threefold",Reseau International Ambiances,2020,en,Text,Creative Commons Attribution Non Commercial No Derivatives 2.0 Generic,"The paper reinterprets the concept of æsthetic experience, combining the neo-phenomenological notion of atmosphere with the concept of resonance, developed by Hartmut Rosa, and the concept of immanent transcendence, coined by Dorthe Jørgensen. It hereby distinguishes between three aspects of æsthetic experience, interpreting the æsthetic experience as a sensitive interplay of emotional spatiality (atmosphere), vibrant relationality (resonance), and sensitive cognition (immanent transcendence). The paper suggests that this threefold structure can account for a variety of our sensitive æsthetic experiences in atmospheric situations, some being mainly atmospheric, others mainly resonant, and others deeply meaningful in a more cognitive sense.",mds,True,findable,0,0,0,0,0,2021-06-17T10:17:45.000Z,2021-06-17T10:17:45.000Z,jbru.aau,jbru,"Resonance,Immanent Transcendence,Atmosphere,Sensitivity,Aesthetics","[{'lang': 'eng', 'subject': 'Resonance'}, {'lang': 'eng', 'subject': 'Immanent Transcendence'}, {'lang': 'eng', 'subject': 'Atmosphere'}, {'lang': 'eng', 'subject': 'Sensitivity'}, {'lang': 'eng', 'subject': 'Aesthetics'}]",['6 pages'],['application/pdf']
+10.48537/hal-03220379,"Ambiance Production in Virtual Interiors, Engineering and Assessment of Affective Response in Design Studio Projects",Reseau International Ambiances,2020,en,Text,Creative Commons Attribution Non Commercial No Derivatives 2.0 Generic,"This pedagogy-based research was conducted through a design studio challenge in which students were tasked with the creation of virtual models that place affect produc- tion at the center of the design process. The raster-based environment of VR operated as a site, which permitted a momentary withdrawal from considerations of structure, program, climate, gravity, materiality, and even circu- lation. The elimination of obtrusive variables allowed us to effectively register the correlation between spatial qualities and affective properties. The aim of the paper is to 1) catalogue affective reactions to these highly abstracted virtual spaces; 2) register any possible consensus among multiple subjects; and 3) identify correlations between affective experience and spatial qualities.",mds,True,findable,0,0,0,0,0,2021-06-17T16:47:31.000Z,2021-06-17T16:47:32.000Z,jbru.aau,jbru,"Affect,Interiority,Interior Design,Architecture,FOS: Civil engineering,Virtual,Pedagogy,Language","[{'lang': 'eng', 'subject': 'Affect'}, {'lang': 'eng', 'subject': 'Interiority'}, {'lang': 'eng', 'subject': 'Interior Design'}, {'lang': 'eng', 'subject': 'Architecture'}, {'subject': 'FOS: Civil engineering', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'lang': 'eng', 'subject': 'Virtual'}, {'lang': 'eng', 'subject': 'Pedagogy'}, {'lang': 'eng', 'subject': 'Language'}]",['6 pages'],['application/pdf']
+10.17178/emaa_ortho-nh3_hyperfine_22b1dfb7,Hyperfine excitation of ortho-NH3 by para-H2 collisions,"UGA, CNRS, CNRS-INSU, OSUG",2023,en,Dataset,"Please acknowledge the use of EMAA Database by citing the original articles in which the data were published (BibTeX format available), and adding the following sentence in your publication:
+This research has made use of spectroscopic and collisional data from the EMAA database (https://emaa.osug.fr). EMAA is supported by the Observatoire des Sciences de l'Univers de Grenoble (OSUG),Creative Commons Attribution 4.0 International,Data access and use are ruled by the EMAA data policy.",25 hyperfine energy levels / 47 radiative transitions / 300 collisional transitions for para-H2 (11 temperatures in the range 5-100K),mds,True,findable,0,0,0,0,0,2023-12-07T15:51:55.000Z,2023-12-07T15:51:56.000Z,inist.osug,jbru,"target ortho-NH3,excitationType Hyperfine,collisional excitation,collider.0 para-H2,astrophysics,interstellar medium,comets,circumstellar medium,gas,microwave spectroscopy,infrared spectroscopy,rotational excitation,rovibrational excitation,vibrational excitation,electronic excitation,collisional rate coefficients,fine structure,hyperfine structure","[{'subject': 'target ortho-NH3', 'subjectScheme': 'main'}, {'subject': 'excitationType Hyperfine', 'subjectScheme': 'main'}, {'subject': 'collisional excitation', 'subjectScheme': 'main'}, {'subject': 'collider.0 para-H2', 'subjectScheme': 'var'}, {'subject': 'astrophysics', 'subjectScheme': 'var'}, {'subject': 'interstellar medium', 'subjectScheme': 'var'}, {'subject': 'comets', 'subjectScheme': 'var'}, {'subject': 'circumstellar medium', 'subjectScheme': 'var'}, {'subject': 'gas', 'subjectScheme': 'var'}, {'subject': 'microwave spectroscopy', 'subjectScheme': 'var'}, {'subject': 'infrared spectroscopy', 'subjectScheme': 'var'}, {'subject': 'rotational excitation', 'subjectScheme': 'var'}, {'subject': 'rovibrational excitation', 'subjectScheme': 'var'}, {'subject': 'vibrational excitation', 'subjectScheme': 'var'}, {'subject': 'electronic excitation', 'subjectScheme': 'var'}, {'subject': 'collisional rate coefficients', 'subjectScheme': 'var'}, {'subject': 'fine structure', 'subjectScheme': 'var'}, {'subject': 'hyperfine structure', 'subjectScheme': 'var'}]",,['Radex']
+10.18709/perscido.2023.07.ds397,The Tour Perret LoRaWAN 2G4 frames dataset,PerSCiDO,2023,,Dataset,,"The dataset contains the log files of 1193638 frames sent by A LoRa 2.4 GHz endpoint installed on the top of Tour Perret in Grenoble, France. The goal of this dataset is the long-time study of performance and Wifi coexistence of LoRa 2.4 GHz communications in an urban context.",api,True,findable,0,0,0,0,0,2023-07-12T08:01:20.000Z,2023-07-12T08:01:20.000Z,inist.persyval,vcob,"Information Technology,Computer Science","[{'subject': 'Information Technology', 'subjectScheme': 'http://www.radar-projekt.org/display/Information_Technology'}, {'subject': 'Computer Science', 'subjectScheme': 'http://www.radar-projekt.org/display/Computer_Science'}]",['100 Mo'],['JSON']
+10.17178/zaa_soil_temp.bioclim,Long term monitoring of near surface soil temperature in the french Alps,UGA – OSUG – CNRS,2021,en,Dataset,"Creative Commons Attribution 4.0 International,For any publication using ZAA data, depending on the contribution of the data to the scientific results obtained, data users should either propose co-authorship to the data providers (doi Project leaders) or at least acknowledge their contribution.
+The acknowledging sentence which should appear in publications using ZAA temp-soil data and products is in the readme file joint with the dataset","Monitoring of near-surface soil temperature in seasonaly snow-covered, mountain ecosystems located in the Lautaret-Galibier area of the French Alps. Data are part of a long-term monitoring programs examining the impact of climate change on snow cover dynamics, microclimate, species distribution and ecosystem functioning. Data include a GPS position, a date and time in UTC and a near-surface soil temperature (in °C) measured at 5 cm belowground using stand-alone temperature data logger.",mds,True,findable,0,0,0,0,0,2021-07-13T13:43:33.000Z,2021-07-13T13:43:34.000Z,inist.osug,jbru,"microclimate,mountain climate,long-term monitoring,soil,root zone,cold zone ecosystem,soil temperature","[{'subject': 'microclimate', 'subjectScheme': 'main'}, {'subject': 'mountain climate', 'subjectScheme': 'main'}, {'subject': 'long-term monitoring', 'subjectScheme': 'main'}, {'subject': 'soil', 'subjectScheme': 'main'}, {'subject': 'root zone', 'subjectScheme': 'main'}, {'subject': 'cold zone ecosystem', 'subjectScheme': 'main'}, {'subject': 'soil temperature', 'subjectScheme': 'var'}]",,['CSV']
+10.5281/zenodo.7689499,Code and Data Presented in JFSMA 2023,Zenodo,2023,,Software,Closed Access,Code of the simulation<br> Graphs and raw data obtained through simulations Models used for model checking,mds,True,findable,0,0,0,0,0,2023-03-01T18:01:45.000Z,2023-03-01T18:01:45.000Z,cern.zenodo,cern,,,,
+10.5281/zenodo.1009122,Esa Seom-Ias – Measurement Database 2.3 Μm Region,Zenodo,2017,,Dataset,"Creative Commons Attribution Share-Alike 4.0,Open Access","The database contains measurements performed within the framework of the esa project SEOM-IAS (Scientific Exploitation of Operational Missions - Improved Atmospheric Spectroscopy Databases), ESA/AO/1-7566/13/I-BG. Details on the project can be found at http://www.wdc.dlr.de/seom-ias/.
+
+Measurements for retrieval of absorption line parameters of H<sub>2</sub>O, CO and CH<sub>4</sub> in the spectral range 4190-4340 cm<sup>-1</sup> within the esa project SEOM-IAS were performed by means of Fourier-Transform Spectroscopy (FTS) at the German Aerospace Center (DLR) and Continuous Wave Cavity Ring-Down Spectroscopy (CRDS) at Université Grenoble Alpes. The aim of the measurements was an improved line parameter database according to the needs of the TROPOMI instrument aboard the Sentinel 5-P satellite. The database contains all used molecular spectra used for Parameter retrieval.",,True,findable,0,0,0,1,0,2017-10-11T14:59:37.000Z,2017-10-11T14:59:38.000Z,cern.zenodo,cern,,,,
+10.5281/zenodo.4282267,SPEECH-COCO,Zenodo,2017,en,Dataset,"Creative Commons Attribution 4.0 International,Open Access","<strong>SpeechCoco</strong> <em>Introduction</em> Our corpus is an extension of the MS COCO image recognition and captioning dataset. MS COCO comprises images paired with a set of five captions. Yet, it does not include any speech. Therefore, we used Voxygen's text-to-speech system to synthesise the available captions. The addition of speech as a new modality enables MSCOCO to be used for researches in the field of language acquisition, unsupervised term discovery, keyword spotting, or semantic embedding using speech and vision. Our corpus is licensed under a Creative Commons Attribution 4.0 License. <em>Data Set</em> This corpus contains <strong>616,767</strong> spoken captions from MSCOCO's val2014 and train2014 subsets (respectively 414,113 for train2014 and 202,654 for val2014). We used 8 different voices. 4 of them have a British accent (Paul, Bronwen, Judith, and Elizabeth) and the 4 others have an American accent (Phil, Bruce, Amanda, Jenny). In order to make the captions sound more natural, we used SOX <em>tempo</em> command, enabling us to change the speed without changing the pitch. 1/3 of the captions are 10% slower than the original pace, 1/3 are 10% faster. The last third of the captions was kept untouched. We also modified approximately 30% of the original captions and added <strong>disfluencies</strong> such as ""um"", ""uh"", ""er"" so that the captions would sound more natural. Each WAV file is paired with a JSON file containing various information: timecode of each word in the caption, name of the speaker, name of the WAV file, etc. The JSON files have the following data structure: <pre><code class=""language-json"">{ ""duration"": float, ""speaker"": string, ""synthesisedCaption"": string, ""timecode"": list, ""speed"": float, ""wavFilename"": string, ""captionID"": int, ""imgID"": int, ""disfluency"": list }</code></pre> On average, each caption comprises 10.79 tokens, disfluencies included. The WAV files are on average 3.52 seconds long. <em>Repository</em> The repository is organized as follows: CORPUS-MSCOCO (~75GB once decompressed) <strong>train2014/</strong> : folder contains 413,915 captions json/ wav/ translations/ train_en_ja.txt train_translate.sqlite3 train_2014.sqlite3 <strong>val2014/</strong> : folder contains 202,520 captions json/ wav/ translations/ train_en_ja.txt train_translate.sqlite3 val_2014.sqlite3 <strong>speechcoco_API/</strong> speechcoco/ __init__.py speechcoco.py setup.py <em>Filenames</em> <strong>.wav</strong> files contain the spoken version of a caption <strong>.json</strong> files contain all the metadata of a given WAV file <strong>.sqlite3</strong> files are SQLite databases containing all the information contained in the JSON files We adopted the following naming convention for both the WAV and JSON files: <em>imageID_captionID_Speaker_DisfluencyPosition_Speed[.wav/.json]</em> <em>Script</em> We created a script called <strong>speechcoco.py</strong> in order to handle the metadata and allow the user to easily find captions according to specific filters. The script uses the *.db files. Features: <strong>Aggregate all the information in the JSON files into a single SQLite database</strong> <strong>Find captions according to specific filters (name, gender and nationality of the speaker, disfluency position, speed, duration, and words in the caption).</strong> <em>The script automatically builds the SQLite query. The user can also provide his own SQLite query.</em> <em>The following Python code returns all the captions spoken by a male with an American accent for which the speed was slowed down by 10% and that contain ""keys"" at any position</em> <pre><code class=""language-python""># create SpeechCoco object db = SpeechCoco(train_2014.sqlite3, train_translate.sqlite3, verbose=True) # filter captions (returns Caption Objects) captions = db.filterCaptions(gender=""Male"", nationality=""US"", speed=0.9, text='%keys%') for caption in captions: print('\n{}\t{}\t{}\t{}\t{}\t{}\t\t{}'.format(caption.imageID, caption.captionID, caption.speaker.name, caption.speaker.nationality, caption.speed, caption.filename, caption.text))</code></pre> <pre><code>... 298817 26763 Phil 0.9 298817_26763_Phil_None_0-9.wav A group of turkeys with bushes in the background. 108505 147972 Phil 0.9 108505_147972_Phil_Middle_0-9.wav Person using a, um, slider cell phone with blue backlit keys. 258289 154380 Bruce 0.9 258289_154380_Bruce_None_0-9.wav Some donkeys and sheep are in their green pens . 545312 201303 Phil 0.9 545312_201303_Phil_None_0-9.wav A man walking next to a couple of donkeys. ...</code></pre> <strong>Find all the captions belonging to a specific image</strong> <pre><code class=""language-python"">captions = db.getImgCaptions(298817) for caption in captions: print('\n{}'.format(caption.text))</code></pre> <pre><code>Birds wondering through grassy ground next to bushes. A flock of turkeys are making their way up a hill. Um, ah. Two wild turkeys in a field walking around. Four wild turkeys and some bushes trees and weeds. A group of turkeys with bushes in the background.</code></pre> <strong>Parse the timecodes and have them structured</strong> <strong>input</strong>: <pre><code>... [1926.3068, ""SYL"", """"], [1926.3068, ""SEPR"", "" ""], [1926.3068, ""WORD"", ""white""], [1926.3068, ""PHO"", ""w""], [2050.7955, ""PHO"", ""ai""], [2144.6591, ""PHO"", ""t""], [2179.3182, ""SYL"", """"], [2179.3182, ""SEPR"", "" ""] ...</code></pre> <strong>output</strong>: <pre><code class=""language-python"">print(caption.timecode.parse())</code></pre> <pre><code>... { 'begin': 1926.3068, 'end': 2179.3182, 'syllable': [{'begin': 1926.3068, 'end': 2179.3182, 'phoneme': [{'begin': 1926.3068, 'end': 2050.7955, 'value': 'w'}, {'begin': 2050.7955, 'end': 2144.6591, 'value': 'ai'}, {'begin': 2144.6591, 'end': 2179.3182, 'value': 't'}], 'value': 'wait'}], 'value': 'white' }, ...</code></pre> <strong>Convert the timecodes to Praat TextGrid files</strong> <pre><code class=""language-python"">caption.timecode.toTextgrid(outputDir, level=3)</code></pre> <strong>Get the words, syllables and phonemes between</strong> <em>n</em> <strong>seconds/milliseconds</strong> <em>The following Python code returns all the words between 0.2 and 0.6 seconds for which at least 50% of the word's total length is within the specified interval</em> <pre><code class=""language-python"">pprint(caption.getWords(0.20, 0.60, seconds=True, level=1, olapthr=50))</code></pre> <pre><code>... 404537 827239 Bruce US 0.9 404537_827239_Bruce_None_0-9.wav Eyeglasses, a cellphone, some keys and other pocket items are all laid out on the cloth. . [ { 'begin': 0.0, 'end': 0.7202778, 'overlapPercentage': 55.53412863758955, 'word': 'eyeglasses' } ] ...</code></pre> <strong>Get the translations of the selected captions</strong> <em>As for now, only japanese translations are available. We also used</em> Kytea <em>to tokenize and tag the captions translated with Google Translate</em> <pre><code class=""language-python"">captions = db.getImgCaptions(298817) for caption in captions: print('\n{}'.format(caption.text)) # Get translations and POS print('\tja_google: {}'.format(db.getTranslation(caption.captionID, ""ja_google""))) print('\t\tja_google_tokens: {}'.format(db.getTokens(caption.captionID, ""ja_google""))) print('\t\tja_google_pos: {}'.format(db.getPOS(caption.captionID, ""ja_google""))) print('\tja_excite: {}'.format(db.getTranslation(caption.captionID, ""ja_excite"")))</code></pre> <pre><code> Birds wondering through grassy ground next to bushes. ja_google: é³¥ã¯èŒ‚ã¿ã®ä¸‹ã«èŒ‚ã£ãŸåœ°é¢ã‚’抱ãˆã¦ã„ã¾ã™ã€‚ ja_google_tokens: é³¥ 㯠茂㿠㮠下 㫠茂 ã£ ãŸ åœ°é¢ ã‚’ 抱㈠㦠ㄠ㾠㙠。 ja_google_pos: é³¥/åè©ž/ã¨ã‚Š ã¯/助詞/㯠茂ã¿/åè©ž/ã—ã’ã¿ ã®/助詞/㮠下/åè©ž/ã—㟠ã«/助詞/㫠茂/å‹•è©ž/ã—ã’ ã£/語尾/㣠ãŸ/助動詞/㟠地é¢/åè©ž/ã˜ã‚ã‚“ ã‚’/助詞/ã‚’ 抱ãˆ/å‹•è©ž/ã‹ã‹ãˆ ã¦/助詞/㦠ã„/å‹•è©ž/ã„ ã¾/助動詞/ã¾ ã™/語尾/㙠。/補助記å·/。 ja_excite: 低木ã¨éš£æŽ¥ã—ãŸè‰æ·±ã„グラウンドを通ã£ã¦ç–‘ã†é³¥ã€‚ A flock of turkeys are making their way up a hill. ja_google: 七é¢é³¥ã®ç¾¤ã‚ŒãŒä¸˜ã‚’上ã£ã¦ã„ã¾ã™ã€‚ ja_google_tokens: 七 é¢ é³¥ 㮠群れ ㌠丘 ã‚’ 上 㣠㦠ㄠ㾠㙠。 ja_google_pos: 七/åè©ž/ãªãª é¢/åè©ž/ã‚ã‚“ é³¥/åè©ž/ã¨ã‚Š ã®/助詞/㮠群れ/åè©ž/むれ ãŒ/助詞/㌠丘/åè©ž/ãŠã‹ ã‚’/助詞/ã‚’ 上/å‹•è©ž/ã®ã¼ ã£/語尾/㣠ã¦/助詞/㦠ã„/å‹•è©ž/ã„ ã¾/助動詞/ã¾ ã™/語尾/㙠。/補助記å·/。 ja_excite: 七é¢é³¥ã®ç¾¤ã‚Œã¯ä¸˜ã®ä¸Šã§é€²ã‚“ã§ã„る。 Um, ah. Two wild turkeys in a field walking around. ja_google: 野生ã®ã‚·ãƒãƒ¡ãƒ³ãƒãƒ§ã‚¦ã€é‡Žç”Ÿã®ä¸ƒé¢é³¥ ja_google_tokens: 野生 ã® ã‚·ãƒãƒ¡ãƒ³ãƒãƒ§ã‚¦ 〠野生 㮠七 é¢ é³¥ ja_google_pos: 野生/åè©ž/ã‚„ã›ã„ ã®/助詞/ã® ã‚·ãƒãƒ¡ãƒ³ãƒãƒ§ã‚¦/åè©ž/ã—ã¡ã‚ã‚“ã¡ã‚‡ã† ã€/補助記å·/〠野生/åè©ž/ã‚„ã›ã„ ã®/助詞/㮠七/åè©ž/ãªãª é¢/åè©ž/ã‚ã‚“ é³¥/åè©ž/ã¡ã‚‡ã† ja_excite: ã¾ã‚ã‚Šã§ç§»å‹•ã—ã¦ã„るフィールドã®2ç¾½ã®é‡Žç”Ÿã®ä¸ƒé¢é³¥ Four wild turkeys and some bushes trees and weeds. ja_google: 4本ã®é‡Žç”Ÿã®ã‚·ãƒãƒ¡ãƒ³ãƒãƒ§ã‚¦ã¨ã„ãã¤ã‹ã®èŒ‚ã¿ã®æœ¨ã¨é›‘è‰ ja_google_tokens: 4 本 㮠野生 ã® ã‚·ãƒãƒ¡ãƒ³ãƒãƒ§ã‚¦ 㨠ã„ã 㤠㋠㮠茂㿠㮠木 ã¨ é›‘è‰ ja_google_pos: 4/åè©ž/4 本/接尾辞/ã»ã‚“ ã®/助詞/㮠野生/åè©ž/ã‚„ã›ã„ ã®/助詞/ã® ã‚·ãƒãƒ¡ãƒ³ãƒãƒ§ã‚¦/åè©ž/ã—ã¡ã‚ã‚“ã¡ã‚‡ã† ã¨/助詞/㨠ã„ã/åè©ž/ã„ã ã¤/接尾辞/㤠ã‹/助詞/ã‹ ã®/助詞/㮠茂ã¿/åè©ž/ã—ã’ã¿ ã®/助詞/㮠木/åè©ž/ã ã¨/助詞/㨠雑è‰/åè©ž/ã–ã£ãㆠja_excite: 4ç¾½ã®é‡Žç”Ÿã®ä¸ƒé¢é³¥ãŠã‚ˆã³ã„ãã¤ã‹ã®ä½Žæœ¨æœ¨ã¨é›‘è‰ A group of turkeys with bushes in the background. ja_google: 背景ã«èŒ‚ã¿ã‚’æŒã¤ä¸ƒé¢é³¥ã®ç¾¤ ja_google_tokens: 背景 㫠茂㿠を æŒ ã¤ ä¸ƒ é¢ é³¥ 㮠群 ja_google_pos: 背景/åè©ž/ã¯ã„ã‘ã„ ã«/助詞/㫠茂ã¿/åè©ž/ã—ã’ã¿ ã‚’/助詞/ã‚’ æŒ/å‹•è©ž/ã‚‚ ã¤/語尾/㤠七/åè©ž/ãªãª é¢/åè©ž/ã‚ã‚“ é³¥/åè©ž/ã¡ã‚‡ã† ã®/助詞/㮠群/åè©ž/むれ ja_excite: 背景ã®ä½Žæœ¨ã‚’æŒã¤ä¸ƒé¢é³¥ã®ã‚°ãƒ«ãƒ¼ãƒ—</code></pre>",mds,True,findable,0,0,0,0,0,2020-11-23T13:46:36.000Z,2020-11-23T13:46:37.000Z,cern.zenodo,cern,"MSCOCO,VGS,Speech,Visually Grounded Speech,audio,captions","[{'subject': 'MSCOCO'}, {'subject': 'VGS'}, {'subject': 'Speech'}, {'subject': 'Visually Grounded Speech'}, {'subject': 'audio'}, {'subject': 'captions'}]",,
+10.17178/emaa_(18o)h-plus_hyperfine_1c669710,Hyperfine excitation of [18O]H+ by H and electron collisions,"UGA, CNRS, CNRS-INSU, OSUG",2021,en,Dataset,"Please acknowledge the use of EMAA Database by citing the original articles in which the data were published (BibTeX format available), and adding the following sentence in your publication:
+This research has made use of spectroscopic and collisional data from the EMAA database (https://emaa.osug.fr). EMAA is supported by the Observatoire des Sciences de l'Univers de Grenoble (OSUG),Creative Commons Attribution 4.0 International,Data access and use are ruled by the EMAA data policy.",25 hyperfine energy levels / 62 radiative transitions / 284 collisional transitions for H (9 temperatures in the range 10-500K) / 273 collisional transitions for electron (9 temperatures in the range 10-500K),mds,True,findable,0,0,0,0,0,2022-02-07T11:24:01.000Z,2022-02-07T11:24:02.000Z,inist.osug,jbru,"target [18O]H+,excitationType Hyperfine,collisional excitation,collider.0 H,collider.1 electron,astrophysics,interstellar medium,comets,circumstellar medium,gas,microwave spectroscopy,infrared spectroscopy,rotational excitation,rovibrational excitation,vibrational excitation,electronic excitation,collisional rate coefficients,fine structure,hyperfine structure","[{'subject': 'target [18O]H+', 'subjectScheme': 'main'}, {'subject': 'excitationType Hyperfine', 'subjectScheme': 'main'}, {'subject': 'collisional excitation', 'subjectScheme': 'main'}, {'subject': 'collider.0 H', 'subjectScheme': 'var'}, {'subject': 'collider.1 electron', 'subjectScheme': 'var'}, {'subject': 'astrophysics', 'subjectScheme': 'var'}, {'subject': 'interstellar medium', 'subjectScheme': 'var'}, {'subject': 'comets', 'subjectScheme': 'var'}, {'subject': 'circumstellar medium', 'subjectScheme': 'var'}, {'subject': 'gas', 'subjectScheme': 'var'}, {'subject': 'microwave spectroscopy', 'subjectScheme': 'var'}, {'subject': 'infrared spectroscopy', 'subjectScheme': 'var'}, {'subject': 'rotational excitation', 'subjectScheme': 'var'}, {'subject': 'rovibrational excitation', 'subjectScheme': 'var'}, {'subject': 'vibrational excitation', 'subjectScheme': 'var'}, {'subject': 'electronic excitation', 'subjectScheme': 'var'}, {'subject': 'collisional rate coefficients', 'subjectScheme': 'var'}, {'subject': 'fine structure', 'subjectScheme': 'var'}, {'subject': 'hyperfine structure', 'subjectScheme': 'var'}]",,['Radex']
+10.5281/zenodo.10013098,"Data and code for the article "" Dissimilarity of vertebrate trophic interactions reveals spatial uniqueness but functional redundancy across Europe""",Zenodo,2023,en,Dataset,Creative Commons Attribution 4.0 International,"Research compendium to reproduce analyses and figures of the article: Dissimilarity of vertebrate trophic interactions reveals spatial uniqueness but functional redundancy across Europe by Gaüzère et al. published in Current Biology
+Pierre Gaüzère
+General
+This repository is structured as follow:
+
+data/: contains data required to reproduce figures and tables
+analyses/: contains scripts organized sequentially. A -> B -> C -> ..
+outputs/: follows the structure of analyses. Contains intermediate numeric results used to produce the figures
+figures_tables/: Contains the figures of the paper
+The analysis pipeline should be clear once opening the code. Contact me if needed but try before please.Â
+Figures & tables
+Figures will be stored in figures_tables/. Tables will be stored in outputs/.",api,True,findable,0,0,0,0,3,2023-10-17T09:29:24.000Z,2023-10-17T09:29:24.000Z,cern.zenodo,cern,,,,
+10.5281/zenodo.7254133,Preprocessed rat brain voxel time series,Zenodo,2022,en,Dataset,"Creative Commons Attribution 4.0 International,Open Access","Preprocessed version of voxel time-series for three rats, originally described in Becq et al., Functional connectivity is preserved but reorganized across several anesthetic regimes, NeuroImage, 2020. Used in Achard et al., Inter-regional correlation estimators for functional magnetic resonance imaging, arXiv, 2022, arXiv:2011.08269. The files named ""coord_ROI_x.txt"" contain the coordinates of the voxels inside region x (each line corresponds to one voxel). The files named ""ts_ROI_x.txt"" contain the BOLD signal time series of the voxels inside region x (each line corresponds to one voxel, each column to one timepoint). The voxels with time series equal to zero have been removed The files named ""weight_ROI_x.txt"" contain the weights associated with the voxels inside region x (each line corresponds to one voxel). Indeed, when assigning voxels to regions, some voxels end up at the border of several regions. These weights characterize the proportion of a given voxel present inside a given region. Hence, some voxels are included in several different regions. So when we compute the voxel-to-voxel inter-correlation between two regions we sometimes end up with inter-correlations equal to 1. In the current dataset this issue has been resolved and each voxel has been assigned to a single region.",mds,True,findable,0,0,0,0,0,2022-12-23T10:06:03.000Z,2022-12-23T10:06:03.000Z,cern.zenodo,cern,"fMRI,rodent,functional connectivity","[{'subject': 'fMRI'}, {'subject': 'rodent'}, {'subject': 'functional connectivity'}]",,
+10.5281/zenodo.7603489,"Model outputs and species-level data for ""Functional traits and climate drive interspecific differences in disturbance-induced tree mortality""",Zenodo,2023,,Dataset,"Creative Commons Attribution 4.0 International,Open Access","This repository is divided in three sub-directories: <em><strong>sensitivity </strong></em>contains the posterior of each parameter estimated by the bayesian mortality model in a rdata file. This file was generated by the script https://github.com/jbarrere3/SalvageModel/tree/withFinland <em><strong>climate </strong></em>contains for each tree species the climatic variables (mean annual temperature, minimum annual temperature and annual precipitation) extracted from CHELSA and the disturbance-related climatic indices (Fire Weather Index, Snow Water Equivalent and Gust Wind Speed) <em><strong>traits </strong></em>contains the traits calculated directly with NFI data (bark thickness, height to dbh ratio, maximum growth), and a text file with the Species and Trait ID to request to TRY database. The content of this repository can be used to reproduce the analyses of the paper, with the script stored in in https://github.com/jbarrere3/DisturbancePaper <strong>Edit (19/09/2023):</strong> A minor coding error was found in the pre-formatted data of the paper, which did not affect the main results but led to minor change in the value of the posterior estimates. An updated version of the posterior estimates of this dataset was made available at https://zenodo.org/record/8358921.",mds,True,findable,0,0,0,0,0,2023-02-03T16:23:20.000Z,2023-02-03T16:23:21.000Z,cern.zenodo,cern,,,,
+10.17178/emaa_h(13c)n_hyperfine_9c162ef8,Hyperfine excitation of H[13C]N by electron and para-H2 collisions,"UGA, CNRS, CNRS-INSU, OSUG",2021,en,Dataset,"Please acknowledge the use of EMAA Database by citing the original articles in which the data were published (BibTeX format available), and adding the following sentence in your publication:
+This research has made use of spectroscopic and collisional data from the EMAA database (https://emaa.osug.fr). EMAA is supported by the Observatoire des Sciences de l'Univers de Grenoble (OSUG),Creative Commons Attribution 4.0 International,Data access and use are ruled by the EMAA data policy.",16 hyperfine energy levels / 27 radiative transitions / 115 collisional transitions for electron (12 temperatures in the range 10-1000K) / 120 collisional transitions for para-H2 (6 temperatures in the range 5-30K),mds,True,findable,0,0,0,0,0,2021-11-18T13:34:49.000Z,2021-11-18T13:34:50.000Z,inist.osug,jbru,"target H[13C]N,excitationType Hyperfine,collisional excitation,collider.0 electron,collider.1 para-H2,astrophysics,interstellar medium,comets,circumstellar medium,gas,microwave spectroscopy,infrared spectroscopy,rotational excitation,rovibrational excitation,vibrational excitation,electronic excitation,collisional rate coefficients,fine structure,hyperfine structure","[{'subject': 'target H[13C]N', 'subjectScheme': 'main'}, {'subject': 'excitationType Hyperfine', 'subjectScheme': 'main'}, {'subject': 'collisional excitation', 'subjectScheme': 'main'}, {'subject': 'collider.0 electron', 'subjectScheme': 'var'}, {'subject': 'collider.1 para-H2', 'subjectScheme': 'var'}, {'subject': 'astrophysics', 'subjectScheme': 'var'}, {'subject': 'interstellar medium', 'subjectScheme': 'var'}, {'subject': 'comets', 'subjectScheme': 'var'}, {'subject': 'circumstellar medium', 'subjectScheme': 'var'}, {'subject': 'gas', 'subjectScheme': 'var'}, {'subject': 'microwave spectroscopy', 'subjectScheme': 'var'}, {'subject': 'infrared spectroscopy', 'subjectScheme': 'var'}, {'subject': 'rotational excitation', 'subjectScheme': 'var'}, {'subject': 'rovibrational excitation', 'subjectScheme': 'var'}, {'subject': 'vibrational excitation', 'subjectScheme': 'var'}, {'subject': 'electronic excitation', 'subjectScheme': 'var'}, {'subject': 'collisional rate coefficients', 'subjectScheme': 'var'}, {'subject': 'fine structure', 'subjectScheme': 'var'}, {'subject': 'hyperfine structure', 'subjectScheme': 'var'}]",,['Radex']
+10.18709/perscido.2023.04.ds391,Snow status (wet/dry) in Antarctica from AMSR-E and AMSR2 passive microwave radiometers 2002 – 2023,PerSCiDO,2023,,Dataset,,"The dataset provides daily binary status (wet/dry) of the snowpack for each pixel at 12.5 km resolution in Antarctica over more than 20 years. This status is retrieved from passive microwave observations at 19 GHz and horizontal polarisation, using an algorithm developed by Torinesi et al. 2013 and Picard and Fily, 2006. The dataset merge the two timeseries from AMSR-E and AMSR2 sensors. The effective resolution of about ~25 km. There is a gap in 2011/2012 between AMSR-E and AMSR2. The ascending (afternoon) and descending (midnight) passes are provided separately.",api,True,findable,0,0,0,1,0,2023-04-26T19:44:58.000Z,2023-04-26T19:44:58.000Z,inist.persyval,vcob,"glaciology,Environmental Science and Ecology","[{'subject': 'glaciology', 'subjectScheme': 'https://perscido.univ-grenoble-alpes.fr/glaciology'}, {'subject': 'Environmental Science and Ecology', 'subjectScheme': 'http://www.radar-projekt.org/display/Environmental_Science_and_Ecology'}]",['100 Mo'],['netcdf']
+10.17178/amma-catch.ae.shflux_odc,"Surface flux dataset (including meteorological data, radiative budget, and surface energy fluxes), within the Donga watershed (600km2), Benin","IRD, CNRS-INSU, OSUG, OMP, OREME",2005,en,Dataset,"Creative Commons Attribution 4.0 International,Data access and use are ruled by the AMMA-CATCH data policy.,For any publication using AMMA-CATCH data, authors are asked to:
Mandatory: cite the reference article and the DOI of the observatory
@@ -3834,29 +3831,22 @@ Mandatory: cite the reference article and the DOI of the observatory
Optional: cite the DOI of each dataset used.
-Co-authorship: depending on the contribution of the data to the scientific results obtained, the authors should either propose co-authorship to the data providers or at least acknowledge their contribution.","The northernmost site of the AMMA-CATCH observatory, the Gourma meso-scale site in Mali, is located between 14.5°N and 17.5°N in the Sahelian zone sensu stricto stretching mainly from the loop of the Niger River southward down to the border region with Burkina-Faso. It also reaches the Saharo-Sahelian transition zone, north of the Niger River. The climate is semi-arid, daytime air temperatures are always high and annual rainfall amounts (from about 100 mm in the northern part to about 450 mm in the southern part of the site) exhibit strong inter-annual and seasonal variations. The region is mainly pastoral and agriculture fields cover less than 1% of the Gourma. Measurements sites are organized along the north–south rainfall transect on two main types of soil surfaces and hydrologic systems which reveal sharp gradients in soil moisture, vegetation cover and energy budget: a) sandy soils with high water infiltration rates and limited run-off, that support an open tree savannah; b) shallow soils characterized by a poor water infiltration and a sparse vegetation, with more concentrated run-off that ends in pools or low lands within structured endorheic watersheds. Seasonally inundated lowlands are covered by open Acacia forests. Since 2010, due to security issues, field measurements are restricted within the Hombori super-site.",mds,True,findable,0,0,1,0,0,2018-03-16T15:37:19.000Z,2018-03-16T15:37:19.000Z,inist.osug,jbru,"Sahelian climate,Precipitation,Surface water,Meteo,Flux,Radiation,Vegetation,Soils,Water quality / Water chemistry","[{'subject': 'Sahelian climate', 'subjectScheme': 'main'}, {'subject': 'Precipitation', 'subjectScheme': 'var'}, {'subject': 'Surface water', 'subjectScheme': 'var'}, {'subject': 'Meteo', 'subjectScheme': 'var'}, {'subject': 'Flux', 'subjectScheme': 'var'}, {'subject': 'Radiation', 'subjectScheme': 'var'}, {'subject': 'Vegetation', 'subjectScheme': 'var'}, {'subject': 'Soils', 'subjectScheme': 'var'}, {'subject': 'Water quality / Water chemistry', 'subjectScheme': 'var'}]",,"['CSV', 'NETCDF', 'O&M 1.0']"
-10.17178/emaa_ortho-nhd2_hyperfine_b4d17e14,Hyperfine excitation of ortho-NHD2 by para-H2 collisions,"UGA, CNRS, CNRS-INSU, OSUG",2021,en,Dataset,"Please acknowledge the use of EMAA Database by citing the original articles in which the data were published (BibTeX format available), and adding the following sentence in your publication:
-This research has made use of spectroscopic and collisional data from the EMAA database (https://emaa.osug.fr). EMAA is supported by the Observatoire des Sciences de l'Univers de Grenoble (OSUG),Creative Commons Attribution 4.0 International,Data access and use are ruled by the EMAA data policy.",46 hyperfine energy levels / 275 radiative transitions / 990 collisional transitions for para-H2 (10 temperatures in the range 5-50K),mds,True,findable,0,0,0,0,0,2021-11-17T14:01:53.000Z,2021-11-17T14:01:56.000Z,inist.osug,jbru,"target ortho-NHD2,excitationType Hyperfine,collisional excitation,collider.0 para-H2,astrophysics,interstellar medium,comets,circumstellar medium,gas,microwave spectroscopy,infrared spectroscopy,rotational excitation,rovibrational excitation,vibrational excitation,electronic excitation,collisional rate coefficients,fine structure,hyperfine structure","[{'subject': 'target ortho-NHD2', 'subjectScheme': 'main'}, {'subject': 'excitationType Hyperfine', 'subjectScheme': 'main'}, {'subject': 'collisional excitation', 'subjectScheme': 'main'}, {'subject': 'collider.0 para-H2', 'subjectScheme': 'var'}, {'subject': 'astrophysics', 'subjectScheme': 'var'}, {'subject': 'interstellar medium', 'subjectScheme': 'var'}, {'subject': 'comets', 'subjectScheme': 'var'}, {'subject': 'circumstellar medium', 'subjectScheme': 'var'}, {'subject': 'gas', 'subjectScheme': 'var'}, {'subject': 'microwave spectroscopy', 'subjectScheme': 'var'}, {'subject': 'infrared spectroscopy', 'subjectScheme': 'var'}, {'subject': 'rotational excitation', 'subjectScheme': 'var'}, {'subject': 'rovibrational excitation', 'subjectScheme': 'var'}, {'subject': 'vibrational excitation', 'subjectScheme': 'var'}, {'subject': 'electronic excitation', 'subjectScheme': 'var'}, {'subject': 'collisional rate coefficients', 'subjectScheme': 'var'}, {'subject': 'fine structure', 'subjectScheme': 'var'}, {'subject': 'hyperfine structure', 'subjectScheme': 'var'}]",,['Radex']
-10.17178/cryobsclim.clb.dome,"Dome, Automatic Weather Station",CNRS - OSUG - Meteo France - Irstea,2000,,Dataset,"Data access and use are ruled by the CRYOBS-CLIM data policy.,Always quote below citation to Guyomarch et al. (2019) when using data.
-G. Guyomarc'h, H. bellot, V. Vionnet, F. Naaim-Bouvet, Y. Deliot, F. Fontaine, P. Pugliese, M. Naaim, K. Nishimura, A meteorological and blowing snow data set (2000-2016) from a high altitude alpine site (Col du Lac Blanc, France, 2720 m a.s.l), Earth System Science Data, 11(2019), 57-69, https://doi.org/10.5194/essd-11-57-2019. The following acknowledging sentence should appear in publications using Cryobs-Clim-CLB data and products: ""Cryobs-Clim Col du Lac Blanc is funded by Meteo France, Irstea, the Institut National des Sciences de l’Univers (INSU/CNRS), and the Observatoire des Sciences de l’Univers de Grenoble (OSUG / Université Grenoble Alpes)â€. You are invited to contact the PI(s) or lead scientist for more information about the data and to include the acknowledgement sentence in any publication using the data.","This dataset is part of the Cryobs-Clim-CLB (CRYosphere, an OBServatory of the CLIMate – Col du Lac Blanc) observatory",mds,True,findable,0,0,1,0,0,2018-04-09T10:16:36.000Z,2018-04-09T10:16:36.000Z,inist.osug,jbru,"Wind speed,Wind direction,Air temperature","[{'subject': 'Wind speed', 'subjectScheme': 'main'}, {'subject': 'Wind direction', 'subjectScheme': 'main'}, {'subject': 'Air temperature', 'subjectScheme': 'main'}]",,['CSV']
-10.17178/emaa_h(13c)n_rotation_e05542a3,"Rotation excitation of H[13C]N by He, electron, ortho-H2 and para-H2 collisions","UGA, CNRS, CNRS-INSU, OSUG",2021,en,Dataset,"Please acknowledge the use of EMAA Database by citing the original articles in which the data were published (BibTeX format available), and adding the following sentence in your publication:
-This research has made use of spectroscopic and collisional data from the EMAA database (https://emaa.osug.fr). EMAA is supported by the Observatoire des Sciences de l'Univers de Grenoble (OSUG),Creative Commons Attribution 4.0 International,Data access and use are ruled by the EMAA data policy.",22 rotation energy levels / 21 radiative transitions / 36 collisional transitions for electron (12 temperatures in the range 10-1000K) / 231 collisional transitions for ortho-H2 (12 temperatures in the range 5-500K) / 231 collisional transitions for para-H2 (12 temperatures in the range 5-500K) / 231 collisional transitions for He (25 temperatures in the range 5-500K),mds,True,findable,0,0,0,0,0,2021-11-18T13:34:51.000Z,2021-11-18T13:34:51.000Z,inist.osug,jbru,"target H[13C]N,excitationType Rotation,collisional excitation,collider.0 electron,collider.1 ortho-H2,collider.2 para-H2,collider.3 He,astrophysics,interstellar medium,comets,circumstellar medium,gas,microwave spectroscopy,infrared spectroscopy,rotational excitation,rovibrational excitation,vibrational excitation,electronic excitation,collisional rate coefficients,fine structure,hyperfine structure","[{'subject': 'target H[13C]N', 'subjectScheme': 'main'}, {'subject': 'excitationType Rotation', 'subjectScheme': 'main'}, {'subject': 'collisional excitation', 'subjectScheme': 'main'}, {'subject': 'collider.0 electron', 'subjectScheme': 'var'}, {'subject': 'collider.1 ortho-H2', 'subjectScheme': 'var'}, {'subject': 'collider.2 para-H2', 'subjectScheme': 'var'}, {'subject': 'collider.3 He', 'subjectScheme': 'var'}, {'subject': 'astrophysics', 'subjectScheme': 'var'}, {'subject': 'interstellar medium', 'subjectScheme': 'var'}, {'subject': 'comets', 'subjectScheme': 'var'}, {'subject': 'circumstellar medium', 'subjectScheme': 'var'}, {'subject': 'gas', 'subjectScheme': 'var'}, {'subject': 'microwave spectroscopy', 'subjectScheme': 'var'}, {'subject': 'infrared spectroscopy', 'subjectScheme': 'var'}, {'subject': 'rotational excitation', 'subjectScheme': 'var'}, {'subject': 'rovibrational excitation', 'subjectScheme': 'var'}, {'subject': 'vibrational excitation', 'subjectScheme': 'var'}, {'subject': 'electronic excitation', 'subjectScheme': 'var'}, {'subject': 'collisional rate coefficients', 'subjectScheme': 'var'}, {'subject': 'fine structure', 'subjectScheme': 'var'}, {'subject': 'hyperfine structure', 'subjectScheme': 'var'}]",,['Radex']
-10.17178/emaa_para-nh2d_rotation_bc5106bb,Rotation excitation of para-NH2D by ortho-H2 and para-H2 collisions,"UGA, CNRS, CNRS-INSU, OSUG",2021,en,Dataset,"Please acknowledge the use of EMAA Database by citing the original articles in which the data were published (BibTeX format available), and adding the following sentence in your publication:
-This research has made use of spectroscopic and collisional data from the EMAA database (https://emaa.osug.fr). EMAA is supported by the Observatoire des Sciences de l'Univers de Grenoble (OSUG),Creative Commons Attribution 4.0 International,Data access and use are ruled by the EMAA data policy.",79 rotation energy levels / 428 radiative transitions / 3081 collisional transitions for para-H2 (13 temperatures in the range 5-300K) / 3081 collisional transitions for ortho-H2 (13 temperatures in the range 5-300K),mds,True,findable,0,0,0,0,0,2021-11-17T14:02:14.000Z,2021-11-17T14:02:15.000Z,inist.osug,jbru,"target para-NH2D,excitationType Rotation,collisional excitation,collider.0 para-H2,collider.1 ortho-H2,astrophysics,interstellar medium,comets,circumstellar medium,gas,microwave spectroscopy,infrared spectroscopy,rotational excitation,rovibrational excitation,vibrational excitation,electronic excitation,collisional rate coefficients,fine structure,hyperfine structure","[{'subject': 'target para-NH2D', 'subjectScheme': 'main'}, {'subject': 'excitationType Rotation', 'subjectScheme': 'main'}, {'subject': 'collisional excitation', 'subjectScheme': 'main'}, {'subject': 'collider.0 para-H2', 'subjectScheme': 'var'}, {'subject': 'collider.1 ortho-H2', 'subjectScheme': 'var'}, {'subject': 'astrophysics', 'subjectScheme': 'var'}, {'subject': 'interstellar medium', 'subjectScheme': 'var'}, {'subject': 'comets', 'subjectScheme': 'var'}, {'subject': 'circumstellar medium', 'subjectScheme': 'var'}, {'subject': 'gas', 'subjectScheme': 'var'}, {'subject': 'microwave spectroscopy', 'subjectScheme': 'var'}, {'subject': 'infrared spectroscopy', 'subjectScheme': 'var'}, {'subject': 'rotational excitation', 'subjectScheme': 'var'}, {'subject': 'rovibrational excitation', 'subjectScheme': 'var'}, {'subject': 'vibrational excitation', 'subjectScheme': 'var'}, {'subject': 'electronic excitation', 'subjectScheme': 'var'}, {'subject': 'collisional rate coefficients', 'subjectScheme': 'var'}, {'subject': 'fine structure', 'subjectScheme': 'var'}, {'subject': 'hyperfine structure', 'subjectScheme': 'var'}]",,['Radex']
-10.17178/emaa_a-ch3(18o)h_rotation_c65648f1,Rotation excitation of A-CH3[18O]H by ortho-H2 and para-H2 collisions,"UGA, CNRS, CNRS-INSU, OSUG",2023,en,Dataset,"Please acknowledge the use of EMAA Database by citing the original articles in which the data were published (BibTeX format available), and adding the following sentence in your publication:
-This research has made use of spectroscopic and collisional data from the EMAA database (https://emaa.osug.fr). EMAA is supported by the Observatoire des Sciences de l'Univers de Grenoble (OSUG),Creative Commons Attribution 4.0 International,Data access and use are ruled by the EMAA data policy.",25 rotation energy levels / 73 radiative transitions / 291 collisional transitions for para-H2 (20 temperatures in the range 10-200K) / 300 collisional transitions for ortho-H2 (20 temperatures in the range 10-200K),mds,True,findable,0,0,0,0,0,2023-12-07T15:50:32.000Z,2023-12-07T15:50:32.000Z,inist.osug,jbru,"target A-CH3[18O]H,excitationType Rotation,collisional excitation,collider.0 para-H2,collider.1 ortho-H2,astrophysics,interstellar medium,comets,circumstellar medium,gas,microwave spectroscopy,infrared spectroscopy,rotational excitation,rovibrational excitation,vibrational excitation,electronic excitation,collisional rate coefficients,fine structure,hyperfine structure","[{'subject': 'target A-CH3[18O]H', 'subjectScheme': 'main'}, {'subject': 'excitationType Rotation', 'subjectScheme': 'main'}, {'subject': 'collisional excitation', 'subjectScheme': 'main'}, {'subject': 'collider.0 para-H2', 'subjectScheme': 'var'}, {'subject': 'collider.1 ortho-H2', 'subjectScheme': 'var'}, {'subject': 'astrophysics', 'subjectScheme': 'var'}, {'subject': 'interstellar medium', 'subjectScheme': 'var'}, {'subject': 'comets', 'subjectScheme': 'var'}, {'subject': 'circumstellar medium', 'subjectScheme': 'var'}, {'subject': 'gas', 'subjectScheme': 'var'}, {'subject': 'microwave spectroscopy', 'subjectScheme': 'var'}, {'subject': 'infrared spectroscopy', 'subjectScheme': 'var'}, {'subject': 'rotational excitation', 'subjectScheme': 'var'}, {'subject': 'rovibrational excitation', 'subjectScheme': 'var'}, {'subject': 'vibrational excitation', 'subjectScheme': 'var'}, {'subject': 'electronic excitation', 'subjectScheme': 'var'}, {'subject': 'collisional rate coefficients', 'subjectScheme': 'var'}, {'subject': 'fine structure', 'subjectScheme': 'var'}, {'subject': 'hyperfine structure', 'subjectScheme': 'var'}]",,['Radex']
-10.17178/zaa_soil_temp.gloria,Long term monitoring of near surface soil temperature in the GLORIA site Fr-AME,UGA – OSUG – CNRS,2021,en,Dataset,"Creative Commons Attribution 4.0 International,For any publication using ZAA data, depending on the contribution of the data to the scientific results obtained, data users should either propose co-authorship to the data providers (doi Project leaders) or at least acknowledge their contribution.
-The acknowledging sentence which should appear in publications using ZAA temp-soil data and products is in the readme file joint with the dataset","Monitoring of near-surface soil temperature on high summits. Data is part of the long-term monitoring program GLORIA https://gloria.ac.at/home and correspond to the FR-AME site located in Mercantour. Data include a GPS position, a date and time in UTC and a near-surface soil temperature (in °C) measured at 5 cm belowground using stand-alone temperature data logger.",mds,True,findable,0,0,0,0,0,2021-07-13T13:43:37.000Z,2021-07-13T13:43:39.000Z,inist.osug,jbru,"microclimate,mountain climate,long-term monitoring,soil,root zone,cold zone ecosystem,soil temperature","[{'subject': 'microclimate', 'subjectScheme': 'main'}, {'subject': 'mountain climate', 'subjectScheme': 'main'}, {'subject': 'long-term monitoring', 'subjectScheme': 'main'}, {'subject': 'soil', 'subjectScheme': 'main'}, {'subject': 'root zone', 'subjectScheme': 'main'}, {'subject': 'cold zone ecosystem', 'subjectScheme': 'main'}, {'subject': 'soil temperature', 'subjectScheme': 'var'}]",,['CSV']
-10.17178/ohmcv.dsd.vb2.12-16.1,"DSD network, Villeneuve-de-Berg-2",CNRS - OSUG - OREME,2011,en,Dataset,"Data access and use are ruled by the OHMCV data policy.,The following acknowledging sentence should appear in publications using OHMCV data and products: ""OHMCV is funded by the Institut National des Sciences de l’Univers (INSU/CNRS) and the Observatoire des Sciences de l’Univers de Grenoble (OSUG / Université Grenoble Alpes)â€.",This dataset is part of the Cevennesâ€Vivarais Mediterranean Hydrometeorological Observatory (OHMCV),mds,True,findable,0,0,2,0,0,2017-10-17T13:24:24.000Z,2017-10-17T13:24:25.000Z,inist.osug,jbru,"Atmospheric conditions,Precipitation Amount,Precipitation Rate,Droplet Size,DISDROMETERS,Ground networks,Hydrometeorological sites,Fixed Observation Stations","[{'subject': 'Atmospheric conditions', 'subjectScheme': 'main'}, {'subject': 'Precipitation Amount', 'subjectScheme': 'main'}, {'subject': 'Precipitation Rate', 'subjectScheme': 'main'}, {'subject': 'Droplet Size', 'subjectScheme': 'main'}, {'subject': 'DISDROMETERS', 'subjectScheme': 'main'}, {'subject': 'Ground networks', 'subjectScheme': 'main'}, {'subject': 'Hydrometeorological sites', 'subjectScheme': 'main'}, {'subject': 'Fixed Observation Stations', 'subjectScheme': 'main'}]",,['NETCDF']
-10.17178/emaa_para-nh3_rotation_44e467bd,"Rotation excitation of para-NH3 by H, ortho-H2 and para-H2 collisions","UGA, CNRS, CNRS-INSU, OSUG",2021,en,Dataset,"Please acknowledge the use of EMAA Database by citing the original articles in which the data were published (BibTeX format available), and adding the following sentence in your publication:
-This research has made use of spectroscopic and collisional data from the EMAA database (https://emaa.osug.fr). EMAA is supported by the Observatoire des Sciences de l'Univers de Grenoble (OSUG),Creative Commons Attribution 4.0 International,Data access and use are ruled by the EMAA data policy.",34 rotation energy levels / 56 radiative transitions / 561 collisional transitions for H (20 temperatures in the range 10-200K) / 561 collisional transitions for ortho-H2 (20 temperatures in the range 10-200K) / 561 collisional transitions for para-H2 (20 temperatures in the range 10-200K),mds,True,findable,0,0,0,0,0,2021-11-17T14:02:17.000Z,2021-11-17T14:02:19.000Z,inist.osug,jbru,"target para-NH3,excitationType Rotation,collisional excitation,collider.0 H,collider.1 ortho-H2,collider.2 para-H2,astrophysics,interstellar medium,comets,circumstellar medium,gas,microwave spectroscopy,infrared spectroscopy,rotational excitation,rovibrational excitation,vibrational excitation,electronic excitation,collisional rate coefficients,fine structure,hyperfine structure","[{'subject': 'target para-NH3', 'subjectScheme': 'main'}, {'subject': 'excitationType Rotation', 'subjectScheme': 'main'}, {'subject': 'collisional excitation', 'subjectScheme': 'main'}, {'subject': 'collider.0 H', 'subjectScheme': 'var'}, {'subject': 'collider.1 ortho-H2', 'subjectScheme': 'var'}, {'subject': 'collider.2 para-H2', 'subjectScheme': 'var'}, {'subject': 'astrophysics', 'subjectScheme': 'var'}, {'subject': 'interstellar medium', 'subjectScheme': 'var'}, {'subject': 'comets', 'subjectScheme': 'var'}, {'subject': 'circumstellar medium', 'subjectScheme': 'var'}, {'subject': 'gas', 'subjectScheme': 'var'}, {'subject': 'microwave spectroscopy', 'subjectScheme': 'var'}, {'subject': 'infrared spectroscopy', 'subjectScheme': 'var'}, {'subject': 'rotational excitation', 'subjectScheme': 'var'}, {'subject': 'rovibrational excitation', 'subjectScheme': 'var'}, {'subject': 'vibrational excitation', 'subjectScheme': 'var'}, {'subject': 'electronic excitation', 'subjectScheme': 'var'}, {'subject': 'collisional rate coefficients', 'subjectScheme': 'var'}, {'subject': 'fine structure', 'subjectScheme': 'var'}, {'subject': 'hyperfine structure', 'subjectScheme': 'var'}]",,['Radex']
-10.17178/emaa_dcn_hyperfine_0b4f7ab6,Hyperfine excitation of DCN by electron and para-H2 collisions,"UGA, CNRS, CNRS-INSU, OSUG",2021,en,Dataset,"Please acknowledge the use of EMAA Database by citing the original articles in which the data were published (BibTeX format available), and adding the following sentence in your publication:
-This research has made use of spectroscopic and collisional data from the EMAA database (https://emaa.osug.fr). EMAA is supported by the Observatoire des Sciences de l'Univers de Grenoble (OSUG),Creative Commons Attribution 4.0 International,Data access and use are ruled by the EMAA data policy.",19 hyperfine energy levels / 33 radiative transitions / 171 collisional transitions for para-H2 (6 temperatures in the range 5-30K) / 165 collisional transitions for electron (10 temperatures in the range 10-1000K),mds,True,findable,0,0,0,0,0,2022-02-07T11:24:23.000Z,2022-02-07T11:24:24.000Z,inist.osug,jbru,"target DCN,excitationType Hyperfine,collisional excitation,collider.0 para-H2,collider.1 electron,astrophysics,interstellar medium,comets,circumstellar medium,gas,microwave spectroscopy,infrared spectroscopy,rotational excitation,rovibrational excitation,vibrational excitation,electronic excitation,collisional rate coefficients,fine structure,hyperfine structure","[{'subject': 'target DCN', 'subjectScheme': 'main'}, {'subject': 'excitationType Hyperfine', 'subjectScheme': 'main'}, {'subject': 'collisional excitation', 'subjectScheme': 'main'}, {'subject': 'collider.0 para-H2', 'subjectScheme': 'var'}, {'subject': 'collider.1 electron', 'subjectScheme': 'var'}, {'subject': 'astrophysics', 'subjectScheme': 'var'}, {'subject': 'interstellar medium', 'subjectScheme': 'var'}, {'subject': 'comets', 'subjectScheme': 'var'}, {'subject': 'circumstellar medium', 'subjectScheme': 'var'}, {'subject': 'gas', 'subjectScheme': 'var'}, {'subject': 'microwave spectroscopy', 'subjectScheme': 'var'}, {'subject': 'infrared spectroscopy', 'subjectScheme': 'var'}, {'subject': 'rotational excitation', 'subjectScheme': 'var'}, {'subject': 'rovibrational excitation', 'subjectScheme': 'var'}, {'subject': 'vibrational excitation', 'subjectScheme': 'var'}, {'subject': 'electronic excitation', 'subjectScheme': 'var'}, {'subject': 'collisional rate coefficients', 'subjectScheme': 'var'}, {'subject': 'fine structure', 'subjectScheme': 'var'}, {'subject': 'hyperfine structure', 'subjectScheme': 'var'}]",,['Radex']
-10.17178/emaa_oh_hyperfine_72d6c3c5,"Hyperfine excitation of OH by H, ortho-H2 and para-H2 collisions","UGA, CNRS, CNRS-INSU, OSUG",2022,en,Dataset,"Please acknowledge the use of EMAA Database by citing the original articles in which the data were published (BibTeX format available), and adding the following sentence in your publication:
-This research has made use of spectroscopic and collisional data from the EMAA database (https://emaa.osug.fr). EMAA is supported by the Observatoire des Sciences de l'Univers de Grenoble (OSUG),Creative Commons Attribution 4.0 International,Data access and use are ruled by the EMAA data policy.",24 hyperfine energy levels / 95 radiative transitions / 264 collisional transitions for para-H2 (7 temperatures in the range 10-150K) / 264 collisional transitions for ortho-H2 (7 temperatures in the range 10-150K) / 276 collisional transitions for H (11 temperatures in the range 5-500K),mds,True,findable,0,0,0,0,0,2023-12-07T15:51:31.000Z,2023-12-07T15:51:32.000Z,inist.osug,jbru,"target OH,excitationType Hyperfine,collisional excitation,collider.0 para-H2,collider.1 ortho-H2,collider.2 H,astrophysics,interstellar medium,comets,circumstellar medium,gas,microwave spectroscopy,infrared spectroscopy,rotational excitation,rovibrational excitation,vibrational excitation,electronic excitation,collisional rate coefficients,fine structure,hyperfine structure","[{'subject': 'target OH', 'subjectScheme': 'main'}, {'subject': 'excitationType Hyperfine', 'subjectScheme': 'main'}, {'subject': 'collisional excitation', 'subjectScheme': 'main'}, {'subject': 'collider.0 para-H2', 'subjectScheme': 'var'}, {'subject': 'collider.1 ortho-H2', 'subjectScheme': 'var'}, {'subject': 'collider.2 H', 'subjectScheme': 'var'}, {'subject': 'astrophysics', 'subjectScheme': 'var'}, {'subject': 'interstellar medium', 'subjectScheme': 'var'}, {'subject': 'comets', 'subjectScheme': 'var'}, {'subject': 'circumstellar medium', 'subjectScheme': 'var'}, {'subject': 'gas', 'subjectScheme': 'var'}, {'subject': 'microwave spectroscopy', 'subjectScheme': 'var'}, {'subject': 'infrared spectroscopy', 'subjectScheme': 'var'}, {'subject': 'rotational excitation', 'subjectScheme': 'var'}, {'subject': 'rovibrational excitation', 'subjectScheme': 'var'}, {'subject': 'vibrational excitation', 'subjectScheme': 'var'}, {'subject': 'electronic excitation', 'subjectScheme': 'var'}, {'subject': 'collisional rate coefficients', 'subjectScheme': 'var'}, {'subject': 'fine structure', 'subjectScheme': 'var'}, {'subject': 'hyperfine structure', 'subjectScheme': 'var'}]",,['Radex']
-10.17178/cryobsclim.cdp.2018.hourlysnow,"Col de Porte, Hourly snow data",CNRS - OSUG - Meteo France,2018,en,Dataset,"Data access and use are ruled by the CRYOBS-CLIM data policy.,Always quote below citation to Lejeune et al. (2019) when using data.
- Lejeune, Y., Dumont, M., Panel J.-M., Lafaysse, M., Lapalus, P., Le Gac, E., Lesaffre, B. and Morin, S., 57 years (1960-2017) of snow and meteorological observations from a mid-altitude mountain site (Col de Porte, France, 1325 m alt.), Earth System Science Data, 11(2019), 71-88, https://doi.org/10.5194/essd-11-71-2019. The following acknowledging sentence should appear in publications using Cryobs-Clim-CDP data and products: ""Cryobs-Clim Col de Porte is funded by Meteo France, the Institut National des Sciences de l’Univers (INSU/CNRS), and the Observatoire des Sciences de l’Univers de Grenoble (OSUG / Université Grenoble Alpes)â€. You are invited to contact the PI(s) or lead scientist for more information about the data and to include the acknowledgement sentence in any publication using the data.","This dataset is part of the Cryobs-Clim-CDP (CRYosphere, an OBServatory of the CLIMate – Col de Porte) observatory",mds,True,findable,0,0,1,0,0,2018-07-19T07:26:34.000Z,2018-07-19T07:27:38.000Z,inist.osug,jbru,"soil temperature,runoff,snow depth,surface temperature,settling disk height,settling disk temperature,soil moisture,ground flux","[{'subject': 'soil temperature', 'subjectScheme': 'main'}, {'subject': 'runoff', 'subjectScheme': 'main'}, {'subject': 'snow depth', 'subjectScheme': 'main'}, {'subject': 'surface temperature', 'subjectScheme': 'main'}, {'subject': 'settling disk height', 'subjectScheme': 'main'}, {'subject': 'settling disk temperature', 'subjectScheme': 'main'}, {'subject': 'soil moisture', 'subjectScheme': 'main'}, {'subject': 'ground flux', 'subjectScheme': 'main'}]",,['netCDF']
-10.17178/amma-catch.ce.run_nct,"Surface water dataset (river discharge), within the Tondikiboro and Mele Haoussa watersheds (< 35 ha), Niger","IRD, CNRS-INSU, OSUG, OMP, OREME",2004,en,Dataset,"Creative Commons Attribution 4.0 International,Data access and use are ruled by the AMMA-CATCH data policy.,For any publication using AMMA-CATCH data, authors are asked to:
+Co-authorship: depending on the contribution of the data to the scientific results obtained, the authors should either propose co-authorship to the data providers or at least acknowledge their contribution.",Measure components of the local-scale energy budget. Obtain forcing and validation data for modeling of soil-vegetation-atmosphere exchanges in Sudanian climate. Contribute to the flux station network over the AMMA regional transect.,mds,True,findable,0,0,1,0,0,2018-03-16T15:36:52.000Z,2018-03-16T15:36:53.000Z,inist.osug,jbru,"Land surface exchange, energy budget, Sudanian vegetation, Sudanian hydrology,Sudanian climate,Wind Speed,Relative Humidity,Soil Moisture/Water Content at depth 10 cm (loc. a),Ventilated Air Temperature,Soil Temperature at depth X cm (loc. b),Outgoing Longwave Radiation,Standard Deviation of Wind Direction,Soil Moisture/Water Content at depth 50 cm (loc. a),Net Radiation,Air Temperature,Soil Temperature at depth 50 cm (loc. a),Wind Direction,Ventilated Relative Humidity,Outgoing Shortwave Radiation,Incoming Longwave Radiation,Incoming Shortwave Radiation,Air Pressure,Soil Temperature at depth 10 cm (loc. a)","[{'subject': 'Land surface exchange, energy budget, Sudanian vegetation, Sudanian hydrology', 'subjectScheme': 'main'}, {'subject': 'Sudanian climate', 'subjectScheme': 'main'}, {'subject': 'Wind Speed', 'subjectScheme': 'var'}, {'subject': 'Relative Humidity', 'subjectScheme': 'var'}, {'subject': 'Soil Moisture/Water Content at depth 10 cm (loc. a)', 'subjectScheme': 'var'}, {'subject': 'Ventilated Air Temperature', 'subjectScheme': 'var'}, {'subject': 'Soil Temperature at depth X cm (loc. b)', 'subjectScheme': 'var'}, {'subject': 'Outgoing Longwave Radiation', 'subjectScheme': 'var'}, {'subject': 'Standard Deviation of Wind Direction', 'subjectScheme': 'var'}, {'subject': 'Soil Moisture/Water Content at depth 50 cm (loc. a)', 'subjectScheme': 'var'}, {'subject': 'Net Radiation', 'subjectScheme': 'var'}, {'subject': 'Air Temperature', 'subjectScheme': 'var'}, {'subject': 'Soil Temperature at depth 50 cm (loc. a)', 'subjectScheme': 'var'}, {'subject': 'Wind Direction', 'subjectScheme': 'var'}, {'subject': 'Ventilated Relative Humidity', 'subjectScheme': 'var'}, {'subject': 'Outgoing Shortwave Radiation', 'subjectScheme': 'var'}, {'subject': 'Incoming Longwave Radiation', 'subjectScheme': 'var'}, {'subject': 'Incoming Shortwave Radiation', 'subjectScheme': 'var'}, {'subject': 'Air Pressure', 'subjectScheme': 'var'}, {'subject': 'Soil Temperature at depth 10 cm (loc. a)', 'subjectScheme': 'var'}]",,"['CSV', 'NETCDF', 'O&M 1.0']"
+10.48537/hal-03220350,"Participate in the Atmosphere, Distribution of Involvements and Attachments as Urban Construction",Reseau International Ambiances,2020,en,Text,Creative Commons Attribution Non Commercial No Derivatives 2.0 Generic,"This article reports on an ongoing ethnographic survey of the post-industrial city of Saint-EÌtienne (France). Through a sensitive approach and a methodological use of walking, attachments and relationships to places are questioned. Urbanity and atmosphere appear to be the result of three types of daily actions of city dwellers: the production of ordinary civilities, the evaluation of amenities and the memory recognition. This approach aims to consider the city through its resources of attachment and to take care of them.",mds,True,findable,0,0,0,0,0,2021-06-17T10:17:32.000Z,2021-06-17T10:17:32.000Z,jbru.aau,jbru,"Urbanity,Involvement,Atmosphere,Attachment,Interaction","[{'lang': 'eng', 'subject': 'Urbanity'}, {'lang': 'eng', 'subject': 'Involvement'}, {'lang': 'eng', 'subject': 'Atmosphere'}, {'lang': 'eng', 'subject': 'Attachment'}, {'lang': 'eng', 'subject': 'Interaction'}]",['6 pages'],['application/pdf']
+10.48537/hal-03220292,"Olympus VR, Sediments of Information and Interaction",Reseau International Ambiances,2020,en,Text,Creative Commons Attribution Non Commercial No Derivatives 2.0 Generic,"This paper discusses the design approach that was followed during the implementation of the mountain Olympus in a virtual reality environment. Due to certain limitations of data acquisition, time and asset management, the creation process demanded a hybrid approach in order to implement the environment of the virtual mountain as well as the supplementary levels of information and interaction. The immersive environment is represented with three scale versions which are enriched with additional layers of informa- tion, narration and interaction. These noetic ‘sediments’ provide an additional way for unique alloæsthetic experiences and enhance the ambiance of the mythical mountain, allow- ing a new dialogue between the user and the represented environment.",mds,True,findable,0,0,0,0,0,2021-06-17T16:47:45.000Z,2021-06-17T16:47:46.000Z,jbru.aau,jbru,"Virtual Reality,Game Engines,Representation,Digital Landscape","[{'lang': 'eng', 'subject': 'Virtual Reality'}, {'lang': 'eng', 'subject': 'Game Engines'}, {'lang': 'eng', 'subject': 'Representation'}, {'lang': 'eng', 'subject': 'Digital Landscape'}]",['6 pages'],['application/pdf']
+10.5061/dryad.wpzgmsbp2,Assessing environmental DNA metabarcoding and camera trap surveys as complementary tools for biomonitoring of remote desert water bodies,Dryad,2021,en,Dataset,Creative Commons Zero v1.0 Universal,"Biodiversity assessments are indispensable tools for planning and monitoring conservation strategies. Camera traps (CT) are widely used to monitor wildlife and have proven their usefulness. Environmental DNA (eDNA)-based approaches are increasingly implemented for biomonitoring, combining sensitivity, high taxonomic coverage and resolution, non-invasiveness and easiness of sampling, but remain challenging for terrestrial fauna. However, in remote desert areas where scattered water bodies attract terrestrial species, which release their DNA into the water, this method presents a unique opportunity for their detection. In order to identify the most efficient method for a given study system, comparative studies are needed. Here, we compare CT and DNA metabarcoding of water samples collected from two desert ecosystems, the Trans-Altai Gobi in Mongolia and the Kalahari in Botswana. We recorded with CT the visiting patterns of wildlife and studied the correlation with the biodiversity captured with the eDNA approach. The aim of the present study was threefold: a) to investigate how well waterborne eDNA captures signals of terrestrial fauna in remote desert environments, which have been so far neglected in terms of biomonitoring efforts; b) to compare two distinct approaches for biomonitoring in such environments and c) to draw recommendations for future eDNA-based biomonitoring. We found significant correlations between the two methodologies and describe a detectability score based on variables extracted from CT data and the visiting patterns of wildlife. This supports the use of eDNA-based biomonitoring in these ecosystems and encourages further research to integrate the methodology in the planning and monitoring of conservation strategies.",mds,True,findable,144,15,0,0,0,2021-12-29T01:12:54.000Z,2021-12-29T01:12:55.000Z,dryad.dryad,dryad,,,['1367382692 bytes'],
+10.5281/zenodo.1068339,Data Sets For The Simulated Ampi (Sampi) Load Balancing Simulation Workflow And Ondes3D Performance Analysis (Companion To Ccpe - Euro-Par 2017 Special Issue),Zenodo,2017,en,Dataset,"Creative Commons Attribution Share-Alike 4.0,Open Access","This package contains data sets and scripts (in an Org-mode file) related to our submission to the special Euro-Par 2017 issue of the journal ""Concurrency and Computation: Practice and Experience"", under the title ""Performance Modeling of a Geophysics Application to Accelerate Over-decomposition Parameter Tuning through Simulation"".",,True,findable,0,0,0,0,0,2017-11-29T18:49:05.000Z,2017-11-29T18:49:06.000Z,cern.zenodo,cern,"Simulation,Load Balancing,Performance Analysis,Over-decomposition,Finite-Differences Method,Simgrid,MPI,Ondes3d,Iterative parallel application","[{'subject': 'Simulation'}, {'subject': 'Load Balancing'}, {'subject': 'Performance Analysis'}, {'subject': 'Over-decomposition'}, {'subject': 'Finite-Differences Method'}, {'subject': 'Simgrid'}, {'subject': 'MPI'}, {'subject': 'Ondes3d'}, {'subject': 'Iterative parallel application'}]",,
+10.17178/emaa_co_rotation_e6542418,"Rotation excitation of CO by ortho-H2O, para-H2 and para-H2O collisions","UGA, CNRS, CNRS-INSU, OSUG",2021,en,Dataset,"Please acknowledge the use of EMAA Database by citing the original articles in which the data were published (BibTeX format available), and adding the following sentence in your publication:
+This research has made use of spectroscopic and collisional data from the EMAA database (https://emaa.osug.fr). EMAA is supported by the Observatoire des Sciences de l'Univers de Grenoble (OSUG),Creative Commons Attribution 4.0 International,Data access and use are ruled by the EMAA data policy.",11 rotation energy levels / 10 radiative transitions / 10 collisional transitions for para-H2 (9 temperatures in the range 2-40K) / 55 collisional transitions for para-H2O (20 temperatures in the range 5-100K) / 55 collisional transitions for ortho-H2O (20 temperatures in the range 5-100K),mds,True,findable,0,0,0,0,0,2022-02-07T11:24:17.000Z,2022-02-07T11:24:18.000Z,inist.osug,jbru,"target CO,excitationType Rotation,collisional excitation,collider.0 para-H2,collider.1 para-H2O,collider.2 ortho-H2O,astrophysics,interstellar medium,comets,circumstellar medium,gas,microwave spectroscopy,infrared spectroscopy,rotational excitation,rovibrational excitation,vibrational excitation,electronic excitation,collisional rate coefficients,fine structure,hyperfine structure","[{'subject': 'target CO', 'subjectScheme': 'main'}, {'subject': 'excitationType Rotation', 'subjectScheme': 'main'}, {'subject': 'collisional excitation', 'subjectScheme': 'main'}, {'subject': 'collider.0 para-H2', 'subjectScheme': 'var'}, {'subject': 'collider.1 para-H2O', 'subjectScheme': 'var'}, {'subject': 'collider.2 ortho-H2O', 'subjectScheme': 'var'}, {'subject': 'astrophysics', 'subjectScheme': 'var'}, {'subject': 'interstellar medium', 'subjectScheme': 'var'}, {'subject': 'comets', 'subjectScheme': 'var'}, {'subject': 'circumstellar medium', 'subjectScheme': 'var'}, {'subject': 'gas', 'subjectScheme': 'var'}, {'subject': 'microwave spectroscopy', 'subjectScheme': 'var'}, {'subject': 'infrared spectroscopy', 'subjectScheme': 'var'}, {'subject': 'rotational excitation', 'subjectScheme': 'var'}, {'subject': 'rovibrational excitation', 'subjectScheme': 'var'}, {'subject': 'vibrational excitation', 'subjectScheme': 'var'}, {'subject': 'electronic excitation', 'subjectScheme': 'var'}, {'subject': 'collisional rate coefficients', 'subjectScheme': 'var'}, {'subject': 'fine structure', 'subjectScheme': 'var'}, {'subject': 'hyperfine structure', 'subjectScheme': 'var'}]",,['Radex']
+10.5281/zenodo.4760505,"Fig. 25 in Contribution To The Knowledge Of The Moroccan High And Middle Atlas Stoneflies (Plecoptera, Insecta)",Zenodo,2014,,Image,"Creative Commons Attribution 4.0 International,Open Access",Fig. 25. Distribution of Capnioneura atlasica sp. n. and C. petitpierreae in western Maghreb.,mds,True,findable,0,0,2,0,0,2021-05-14T05:28:24.000Z,2021-05-14T05:28:25.000Z,cern.zenodo,cern,"Biodiversity,Taxonomy,Animalia,Arthropoda,Insecta,Plecoptera,Capniidae,Capnioneura","[{'subject': 'Biodiversity'}, {'subject': 'Taxonomy'}, {'subject': 'Animalia'}, {'subject': 'Arthropoda'}, {'subject': 'Insecta'}, {'subject': 'Plecoptera'}, {'subject': 'Capniidae'}, {'subject': 'Capnioneura'}]",,
+10.6084/m9.figshare.c.6690029.v1,3DVizSNP: a tool for rapidly visualizing missense mutations identified in high throughput experiments in iCn3D,figshare,2023,,Collection,Creative Commons Attribution 4.0 International,"Abstract Background High throughput experiments in cancer and other areas of genomic research identify large numbers of sequence variants that need to be evaluated for phenotypic impact. While many tools exist to score the likely impact of single nucleotide polymorphisms (SNPs) based on sequence alone, the three-dimensional structural environment is essential for understanding the biological impact of a nonsynonymous mutation. Results We present a program, 3DVizSNP, that enables the rapid visualization of nonsynonymous missense mutations extracted from a variant caller format file using the web-based iCn3D visualization platform. The program, written in Python, leverages REST APIs and can be run locally without installing any other software or databases, or from a webserver hosted by the National Cancer Institute. It automatically selects the appropriate experimental structure from the Protein Data Bank, if available, or the predicted structure from the AlphaFold database, enabling users to rapidly screen SNPs based on their local structural environment. 3DVizSNP leverages iCn3D annotations and its structural analysis functions to assess changes in structural contacts associated with mutations. Conclusions This tool enables researchers to efficiently make use of 3D structural information to prioritize mutations for further computational and experimental impact assessment. The program is available as a webserver at https://analysistools.cancer.gov/3dvizsnp or as a standalone python program at https://github.com/CBIIT-CGBB/3DVizSNP .",mds,True,findable,0,0,0,0,0,2023-06-10T03:21:53.000Z,2023-06-10T03:21:53.000Z,figshare.ars,otjm,"Space Science,Medicine,Genetics,FOS: Biological sciences,69999 Biological Sciences not elsewhere classified,80699 Information Systems not elsewhere classified,FOS: Computer and information sciences,Cancer,Plant Biology","[{'subject': 'Space Science'}, {'subject': 'Medicine'}, {'subject': 'Genetics'}, {'subject': 'FOS: Biological sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': '69999 Biological Sciences not elsewhere classified', 'schemeUri': 'http://www.abs.gov.au/ausstats/abs@.nsf/0/6BB427AB9696C225CA2574180004463E', 'subjectScheme': 'FOR'}, {'subject': '80699 Information Systems not elsewhere classified', 'schemeUri': 'http://www.abs.gov.au/ausstats/abs@.nsf/0/6BB427AB9696C225CA2574180004463E', 'subjectScheme': 'FOR'}, {'subject': 'FOS: Computer and information sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Cancer'}, {'subject': 'Plant Biology'}]",,
+10.17178/zaa_soil_temp.pne,Long term monitoring of near surface soil temperature in the Ecrins National Park,UGA – OSUG – PNE,2021,en,Dataset,"Creative Commons Attribution 4.0 International,For any publication using ZAA data, depending on the contribution of the data to the scientific results obtained, data users should either propose co-authorship to the data providers (doi Project leaders) or at least acknowledge their contribution.
+The acknowledging sentence which should appear in publications using ZAA temp-soil data and products is in the readme file joint with the dataset","Monitoring of near-surface soil temperature in seasonaly snow-covered, mountain ecosystems located in the Ecrins National Park. Data are part of several research projects and monitoring programs examining the impact of climate change on snow cover dynamics, microclimate, species distribution and ecosystem functioning. Data include a GPS position, a date and time in UTC and a near-surface soil temperature (in °C) measured at 5 cm belowground using stand-alone temperature data logger.",mds,True,findable,0,0,0,0,0,2021-07-13T13:43:48.000Z,2021-07-13T13:43:50.000Z,inist.osug,jbru,"microclimate,mountain climate,long-term monitoring,soil,root zone,cold zone ecosystem,soil temperature","[{'subject': 'microclimate', 'subjectScheme': 'main'}, {'subject': 'mountain climate', 'subjectScheme': 'main'}, {'subject': 'long-term monitoring', 'subjectScheme': 'main'}, {'subject': 'soil', 'subjectScheme': 'main'}, {'subject': 'root zone', 'subjectScheme': 'main'}, {'subject': 'cold zone ecosystem', 'subjectScheme': 'main'}, {'subject': 'soil temperature', 'subjectScheme': 'var'}]",,['CSV']
+10.18709/perscido.2022.09.ds375,"Gupta, A., Reverdy, A., Cohard, J.-M., Voisin, D., Hector, B., Descloitres, M., Vandervaere, J.-P., Coulaud, C., Biron, R., Liger, L., Valay, J.-G., and Maxwell, R. (2022) Data from: Impact of distributed meteorological forcing on snow dynamic and induced water fluxes over a mid-elevation alpine micro-scale catchment.",PerSCiDO,2022,,Dataset,,"The sorftware and data presented here are the part of the study:
+Gupta, A., Reverdy, A., Cohard, J.-M., Voisin, D., Hector, B., Descloitres, M., Vandervaere, J.-P., Coulaud, C., Biron, R., Liger, L., Valay, J.-G., and Maxwell, R.: Impact of distributed meteorological forcing on snow dynamic and induced water fluxes over a mid-elevation alpine micro-scale catchment, Hydrol. Earth Syst. Sci. Discuss. [preprint], https://doi.org/10.5194/hess-2021-639, in review, 2022.",api,True,findable,0,0,0,0,0,2022-09-05T07:59:57.000Z,2022-09-05T07:59:57.000Z,inist.persyval,vcob,"glaciology,Geology,FOS: Earth and related environmental sciences,Environmental Science and Ecology","[{'subject': 'glaciology', 'subjectScheme': 'https://perscido.univ-grenoble-alpes.fr/glaciology'}, {'subject': 'Geology', 'subjectScheme': 'http://www.radar-projekt.org/display/Geological_Sciences'}, {'subject': 'FOS: Earth and related environmental sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Environmental Science and Ecology', 'subjectScheme': 'http://www.radar-projekt.org/display/Environmental_Science_and_Ecology'}]",['10 Mo'],
+10.48537/hal-03220356,"Adapting Sensibilities Beyond ‘Screen-Deep’ Spatial Experience, Materiality and Atmosphere in Our Screen-Deep Virtual Excursions",Reseau International Ambiances,2020,en,Text,Creative Commons Attribution Non Commercial No Derivatives 2.0 Generic,"Looking within and beyond our current situation it is clear that new sensi- bilities of spatial experiences are emerging that can no longer be defined by our physical presence alone. Working with screen-deep spatial encounters, virtual ‘visits’ or ‘excur- sions’, challenged by a depleted range of sensorial information, our situation demands new methods of representation and interpre- tation. This study explores how can we define and adapt our understanding of architectural sensory information. It provokes questions into our relationships with the atmosphere of ar- chitectural space and the data that might help define it. Findings propose how, as designers, we might provide increased opportunities through virtual excursions, to glimpse into a tangible embodied understanding of architec- tural spaces.",mds,True,findable,0,0,0,0,0,2021-06-17T10:17:04.000Z,2021-06-17T10:17:04.000Z,jbru.aau,jbru,"Virtual,Screen,rchitectural Space,Embodied,Atmosphere","[{'lang': 'eng', 'subject': 'Virtual'}, {'lang': 'eng', 'subject': 'Screen'}, {'lang': 'eng', 'subject': 'rchitectural Space'}, {'lang': 'eng', 'subject': 'Embodied'}, {'lang': 'eng', 'subject': 'Atmosphere'}]",['6 pages'],['application/pdf']
+10.17178/ohmcv.dsd.vb2.11-14.1,"DSD network, Villeneuve-de-Berg-2",CNRS - OSUG - OREME,2011,en,Dataset,"Data access and use are ruled by the OHMCV data policy.,The following acknowledging sentence should appear in publications using OHMCV data and products: ""OHMCV is funded by the Institut National des Sciences de l’Univers (INSU/CNRS) and the Observatoire des Sciences de l’Univers de Grenoble (OSUG / Université Grenoble Alpes)â€.",This dataset is part of the Cevennesâ€Vivarais Mediterranean Hydrometeorological Observatory (OHMCV),mds,True,findable,0,0,1,1,0,2017-03-10T17:09:23.000Z,2017-03-10T17:09:24.000Z,inist.osug,jbru,"Atmospheric conditions,Precipitation Amount,Precipitation Rate,Droplet Size,DISDROMETERS,Ground networks,Hydrometeorological sites,Fixed Observation Stations","[{'subject': 'Atmospheric conditions', 'subjectScheme': 'main'}, {'subject': 'Precipitation Amount', 'subjectScheme': 'main'}, {'subject': 'Precipitation Rate', 'subjectScheme': 'main'}, {'subject': 'Droplet Size', 'subjectScheme': 'main'}, {'subject': 'DISDROMETERS', 'subjectScheme': 'main'}, {'subject': 'Ground networks', 'subjectScheme': 'main'}, {'subject': 'Hydrometeorological sites', 'subjectScheme': 'main'}, {'subject': 'Fixed Observation Stations', 'subjectScheme': 'main'}]",,['NETCDF']
+10.17178/amma-catch.cl.rain_od,"Precipitation dataset (5 minutes rainfall), over the Donga watershed (600 km2), Benin","IRD, CNRS-INSU, OSUG, OMP, OREME",1999,en,Dataset,"Creative Commons Attribution 4.0 International,Data access and use are ruled by the AMMA-CATCH data policy.,For any publication using AMMA-CATCH data, authors are asked to:
Mandatory: cite the reference article and the DOI of the observatory
@@ -3865,28 +3855,52 @@ Mandatory: cite the reference article and the DOI of the observatory
Optional: cite the DOI of each dataset used.
-Co-authorship: depending on the contribution of the data to the scientific results obtained, the authors should either propose co-authorship to the data providers or at least acknowledge their contribution.","Document the flood events in various geological context : sedimentary (Tondikiboro) and cristaline bedrock (Mele Haoussa), and for cultivated and natural vegetation covers.",mds,True,findable,0,0,1,0,0,2018-03-16T15:37:00.000Z,2018-03-16T15:37:00.000Z,inist.osug,jbru,"Discharge, erosion, turbidity, Niger,Sahelian climate,Discharge/Flow","[{'subject': 'Discharge, erosion, turbidity, Niger', 'subjectScheme': 'main'}, {'subject': 'Sahelian climate', 'subjectScheme': 'main'}, {'subject': 'Discharge/Flow', 'subjectScheme': 'var'}]",,"['CSV', 'NETCDF', 'O&M 1.0']"
-10.17178/draixbleone_gal_ain_dsd_1920,"Drop Size Distribution (DSD) at Ainac (Lat : 44,21492 ; Lon : 6,21085)",IGE - CNRS - OSUG,2020,en,Dataset,"Creative Commons Attribution 4.0 International,The following acknowledging sentence should appear in publications using data and products from the Galabre watershed of the Draix Bleone Observatory: ""DRAIX BLEONE is funded by the Institut National des Sciences de l’Univers (INSU/CNRS) and the Observatoire des Sciences de l’Univers de Grenoble (OSUG / Université Grenoble Alpes)â€.,Always quote below citation to Legout et al. (submitted) when using these data. Legout C., Freche G., Biron R., Esteves M., Nord G, Navratil O., Uber M., Grangeon T., Hachgenei N., Boudevillain B. Voiron C., Spadini L. A critical zone observatory dedicated to suspended sediment transport: the meso-scale Galabre catchment (southern French Alps), submitted to Hydrological Processes.",This DSD data set is part of the DRAIXBLEONE_GAL observatory.,mds,True,findable,0,0,0,0,0,2020-09-15T15:58:31.000Z,2020-09-15T15:58:32.000Z,inist.osug,jbru,"Mediterranean mountainous climate,Precipitation,Meteorology","[{'subject': 'Mediterranean mountainous climate', 'subjectScheme': 'main'}, {'subject': 'Precipitation', 'subjectScheme': 'var'}, {'subject': 'Meteorology', 'subjectScheme': 'var'}]",,['CSV']
-10.17178/ohmcv.dsd.vb3.12-14.1,"DSD network, Villeneuve-de-Berg-3",CNRS - OSUG - OREME,2011,en,Dataset,"Data access and use are ruled by the OHMCV data policy.,The following acknowledging sentence should appear in publications using OHMCV data and products: ""OHMCV is funded by the Institut National des Sciences de l’Univers (INSU/CNRS) and the Observatoire des Sciences de l’Univers de Grenoble (OSUG / Université Grenoble Alpes)â€.",This dataset is part of the Cevennesâ€Vivarais Mediterranean Hydrometeorological Observatory (OHMCV),mds,True,findable,0,0,1,1,0,2017-03-10T17:09:24.000Z,2017-03-10T17:09:25.000Z,inist.osug,jbru,"Atmospheric conditions,Precipitation,Precipitation Rate,Droplet Size,DISDROMETERS,Ground networks,Hydrometeorological sites,Fixed Observation Stations","[{'subject': 'Atmospheric conditions', 'subjectScheme': 'main'}, {'subject': 'Precipitation', 'subjectScheme': 'main'}, {'subject': 'Precipitation Rate', 'subjectScheme': 'main'}, {'subject': 'Droplet Size', 'subjectScheme': 'main'}, {'subject': 'DISDROMETERS', 'subjectScheme': 'main'}, {'subject': 'Ground networks', 'subjectScheme': 'main'}, {'subject': 'Hydrometeorological sites', 'subjectScheme': 'main'}, {'subject': 'Fixed Observation Stations', 'subjectScheme': 'main'}]",,['NETCDF']
-10.17178/emaa_oh_fine_73f2c321,"Fine excitation of OH by H, ortho-H2 and para-H2 collisions","UGA, CNRS, CNRS-INSU, OSUG",2022,en,Dataset,"Please acknowledge the use of EMAA Database by citing the original articles in which the data were published (BibTeX format available), and adding the following sentence in your publication:
-This research has made use of spectroscopic and collisional data from the EMAA database (https://emaa.osug.fr). EMAA is supported by the Observatoire des Sciences de l'Univers de Grenoble (OSUG),Creative Commons Attribution 4.0 International,Data access and use are ruled by the EMAA data policy.",20 fine energy levels / 50 radiative transitions / 190 collisional transitions for para-H2 (7 temperatures in the range 10-150K) / 190 collisional transitions for ortho-H2 (7 temperatures in the range 10-150K) / 66 collisional transitions for H (11 temperatures in the range 5-500K),mds,True,findable,0,0,0,0,0,2023-12-07T15:51:30.000Z,2023-12-07T15:51:30.000Z,inist.osug,jbru,"target OH,excitationType Fine,collisional excitation,collider.0 para-H2,collider.1 ortho-H2,collider.2 H,astrophysics,interstellar medium,comets,circumstellar medium,gas,microwave spectroscopy,infrared spectroscopy,rotational excitation,rovibrational excitation,vibrational excitation,electronic excitation,collisional rate coefficients,fine structure,hyperfine structure","[{'subject': 'target OH', 'subjectScheme': 'main'}, {'subject': 'excitationType Fine', 'subjectScheme': 'main'}, {'subject': 'collisional excitation', 'subjectScheme': 'main'}, {'subject': 'collider.0 para-H2', 'subjectScheme': 'var'}, {'subject': 'collider.1 ortho-H2', 'subjectScheme': 'var'}, {'subject': 'collider.2 H', 'subjectScheme': 'var'}, {'subject': 'astrophysics', 'subjectScheme': 'var'}, {'subject': 'interstellar medium', 'subjectScheme': 'var'}, {'subject': 'comets', 'subjectScheme': 'var'}, {'subject': 'circumstellar medium', 'subjectScheme': 'var'}, {'subject': 'gas', 'subjectScheme': 'var'}, {'subject': 'microwave spectroscopy', 'subjectScheme': 'var'}, {'subject': 'infrared spectroscopy', 'subjectScheme': 'var'}, {'subject': 'rotational excitation', 'subjectScheme': 'var'}, {'subject': 'rovibrational excitation', 'subjectScheme': 'var'}, {'subject': 'vibrational excitation', 'subjectScheme': 'var'}, {'subject': 'electronic excitation', 'subjectScheme': 'var'}, {'subject': 'collisional rate coefficients', 'subjectScheme': 'var'}, {'subject': 'fine structure', 'subjectScheme': 'var'}, {'subject': 'hyperfine structure', 'subjectScheme': 'var'}]",,['Radex']
-10.17178/emaa_para-nh2_hyperfine_0d542831,Hyperfine excitation of para-NH2 by ortho-H2 and para-H2 collisions,"UGA, CNRS, CNRS-INSU, OSUG",2022,en,Dataset,"Please acknowledge the use of EMAA Database by citing the original articles in which the data were published (BibTeX format available), and adding the following sentence in your publication:
-This research has made use of spectroscopic and collisional data from the EMAA database (https://emaa.osug.fr). EMAA is supported by the Observatoire des Sciences de l'Univers de Grenoble (OSUG),Creative Commons Attribution 4.0 International,Data access and use are ruled by the EMAA data policy.",76 hyperfine energy levels / 485 radiative transitions / 2665 collisional transitions for para-H2 (15 temperatures in the range 10-150K) / 2665 collisional transitions for ortho-H2 (15 temperatures in the range 10-150K),mds,True,findable,0,0,0,0,0,2022-02-07T11:26:14.000Z,2022-02-07T11:26:15.000Z,inist.osug,jbru,"target para-NH2,excitationType Hyperfine,collisional excitation,collider.0 para-H2,collider.1 ortho-H2,astrophysics,interstellar medium,comets,circumstellar medium,gas,microwave spectroscopy,infrared spectroscopy,rotational excitation,rovibrational excitation,vibrational excitation,electronic excitation,collisional rate coefficients,fine structure,hyperfine structure","[{'subject': 'target para-NH2', 'subjectScheme': 'main'}, {'subject': 'excitationType Hyperfine', 'subjectScheme': 'main'}, {'subject': 'collisional excitation', 'subjectScheme': 'main'}, {'subject': 'collider.0 para-H2', 'subjectScheme': 'var'}, {'subject': 'collider.1 ortho-H2', 'subjectScheme': 'var'}, {'subject': 'astrophysics', 'subjectScheme': 'var'}, {'subject': 'interstellar medium', 'subjectScheme': 'var'}, {'subject': 'comets', 'subjectScheme': 'var'}, {'subject': 'circumstellar medium', 'subjectScheme': 'var'}, {'subject': 'gas', 'subjectScheme': 'var'}, {'subject': 'microwave spectroscopy', 'subjectScheme': 'var'}, {'subject': 'infrared spectroscopy', 'subjectScheme': 'var'}, {'subject': 'rotational excitation', 'subjectScheme': 'var'}, {'subject': 'rovibrational excitation', 'subjectScheme': 'var'}, {'subject': 'vibrational excitation', 'subjectScheme': 'var'}, {'subject': 'electronic excitation', 'subjectScheme': 'var'}, {'subject': 'collisional rate coefficients', 'subjectScheme': 'var'}, {'subject': 'fine structure', 'subjectScheme': 'var'}, {'subject': 'hyperfine structure', 'subjectScheme': 'var'}]",,['Radex']
-10.17178/cryobsclim.clb.safran,"Col du Lac Blanc, SAFRAN meteorological data",CNRS - OSUG - Meteo France - Irstea,2000,,Dataset,"Data access and use are ruled by the CRYOBS-CLIM data policy.,Always quote below citation to Guyomarch et al. (2019) when using data.
-G. Guyomarc'h, H. bellot, V. Vionnet, F. Naaim-Bouvet, Y. Deliot, F. Fontaine, P. Pugliese, M. Naaim, K. Nishimura, A meteorological and blowing snow data set (2000-2016) from a high altitude alpine site (Col du Lac Blanc, France, 2720 m a.s.l), Earth System Science Data, 11(2019), 57-69, https://doi.org/10.5194/essd-11-57-2019. The following acknowledging sentence should appear in publications using Cryobs-Clim-CLB data and products: ""Cryobs-Clim Col du Lac Blanc is funded by Meteo France, Irstea, the Institut National des Sciences de l’Univers (INSU/CNRS), and the Observatoire des Sciences de l’Univers de Grenoble (OSUG / Université Grenoble Alpes)â€. You are invited to contact the PI(s) or lead scientist for more information about the data and to include the acknowledgement sentence in any publication using the data.","This dataset is part of the Cryobs-Clim-CLB (CRYosphere, an OBServatory of the CLIMate – Col du Lac Blanc) observatory",mds,True,findable,0,0,1,0,0,2018-04-09T10:16:38.000Z,2018-04-09T10:16:38.000Z,inist.osug,jbru,"SAFRAN air temperature (K),SAFRAN specific humidity (kg/kg),SAFRAN wind speed (m/s),SAFRAN wind direction (deg),SAFRAN downward longwave radiation (W/m²),SAFRAN downward direct shortwave radiation (W/m2),SAFRAN downward diffuse shortwave radiation (W/m2),SAFRAN nebulosity (-),SAFRAN rainfall rate (kg/m2/s),SAFRAN snowfall rate (kg/m2/s)","[{'subject': 'SAFRAN air temperature (K)', 'subjectScheme': 'main'}, {'subject': 'SAFRAN specific humidity (kg/kg)', 'subjectScheme': 'main'}, {'subject': 'SAFRAN wind speed (m/s)', 'subjectScheme': 'main'}, {'subject': 'SAFRAN wind direction (deg)', 'subjectScheme': 'main'}, {'subject': 'SAFRAN downward longwave radiation (W/m²)', 'subjectScheme': 'main'}, {'subject': 'SAFRAN downward direct shortwave radiation (W/m2)', 'subjectScheme': 'main'}, {'subject': 'SAFRAN downward diffuse shortwave radiation (W/m2)', 'subjectScheme': 'main'}, {'subject': 'SAFRAN nebulosity (-)', 'subjectScheme': 'main'}, {'subject': 'SAFRAN rainfall rate (kg/m2/s)', 'subjectScheme': 'main'}, {'subject': 'SAFRAN snowfall rate (kg/m2/s)', 'subjectScheme': 'main'}]",,['CSV']
+Co-authorship: depending on the contribution of the data to the scientific results obtained, the authors should either propose co-authorship to the data providers or at least acknowledge their contribution.","Documentation of rainfall in the soudanian zone. The aim is to characterize the temporal and spatial variability of rainfall down to the local scale, in some sub-areas of the Oueme basin where process studies are carried on. Data is used in modelling and process studies.",mds,True,findable,0,0,1,0,0,2018-03-16T15:37:16.000Z,2018-03-16T15:37:16.000Z,inist.osug,jbru,"Rainfall, precipitation, tropical convection,Sudanian climate,Precipitation Amount (previous 5 minutes),Precipitation Amount (previous 24 hours),Precipitation Amount (previous hour)","[{'subject': 'Rainfall, precipitation, tropical convection', 'subjectScheme': 'main'}, {'subject': 'Sudanian climate', 'subjectScheme': 'main'}, {'subject': 'Precipitation Amount (previous 5 minutes)', 'subjectScheme': 'var'}, {'subject': 'Precipitation Amount (previous 24 hours)', 'subjectScheme': 'var'}, {'subject': 'Precipitation Amount (previous hour)', 'subjectScheme': 'var'}]",,"['CSV', 'NETCDF', 'O&M 1.0']"
+10.48537/hal-03220319,"Preference Atmospheres in the ‘Carioca Gaza Strip’, Manguinhos Favela Complex, Rio de Janeiro",Reseau International Ambiances,2020,en,Text,Creative Commons Attribution Non Commercial No Derivatives 2.0 Generic,"In this work we analyse preference atmospheres, investigating attractiveness and affectivity in conflict and vulnerability territories located in peripheral urban areas. Preference atmospheres are conceptions of world that contemplate multiple meanings attribution. This conceptualization is based on various studies, whose dialogues enabled a methodology development that has been applied, in this work, in the Manguinhos favela complex – the ‘Carioca Gaza Strip’, located in Rio de Janeiro’s North Zone. Our analysis focuses on the so-called ‘Marcelo Square’, a small square constructed by local residents in a prohibited area, and Estrada de Manguinhos Street, symbolic open spaces of affectivity and attractiveness in an area widely known for its socio-environmental vulnerability.",mds,True,findable,0,0,0,0,0,2021-06-17T10:17:14.000Z,2021-06-17T10:17:15.000Z,jbru.aau,jbru,"Preference Atmospheres,Vulnerability,Political Ecology,Favela Complex","[{'lang': 'eng', 'subject': 'Preference Atmospheres'}, {'lang': 'eng', 'subject': 'Vulnerability'}, {'lang': 'eng', 'subject': 'Political Ecology'}, {'lang': 'eng', 'subject': 'Favela Complex'}]",['6 pages'],['application/pdf']
10.17178/cryobsclim.cdp.2018.metsnowdaily,"Col de Porte, Daily snow and meteorological data",CNRS - OSUG - Meteo France,2018,en,Dataset,"Data access and use are ruled by the CRYOBS-CLIM data policy.,Always quote below citation to Lejeune et al. (2019) when using data.
Lejeune, Y., Dumont, M., Panel J.-M., Lafaysse, M., Lapalus, P., Le Gac, E., Lesaffre, B. and Morin, S., 57 years (1960-2017) of snow and meteorological observations from a mid-altitude mountain site (Col de Porte, France, 1325 m alt.), Earth System Science Data, 11(2019), 71-88, https://doi.org/10.5194/essd-11-71-2019. The following acknowledging sentence should appear in publications using Cryobs-Clim-CDP data and products: ""Cryobs-Clim Col de Porte is funded by Meteo France, the Institut National des Sciences de l’Univers (INSU/CNRS), and the Observatoire des Sciences de l’Univers de Grenoble (OSUG / Université Grenoble Alpes)â€. You are invited to contact the PI(s) or lead scientist for more information about the data and to include the acknowledgement sentence in any publication using the data.","This dataset is part of the Cryobs-Clim-CDP (CRYosphere, an OBServatory of the CLIMate – Col de Porte) observatory",mds,True,findable,0,0,1,0,0,2018-07-19T07:26:37.000Z,2018-07-19T07:27:38.000Z,inist.osug,jbru,"Snow depth,Snow water equivalent,Air Temperature,Total precipitation,Snowfall,Rainfall,Albedo,Height of new snow","[{'subject': 'Snow depth', 'subjectScheme': 'main'}, {'subject': 'Snow water equivalent', 'subjectScheme': 'main'}, {'subject': 'Air Temperature', 'subjectScheme': 'main'}, {'subject': 'Total precipitation', 'subjectScheme': 'main'}, {'subject': 'Snowfall', 'subjectScheme': 'main'}, {'subject': 'Rainfall', 'subjectScheme': 'main'}, {'subject': 'Albedo', 'subjectScheme': 'main'}, {'subject': 'Height of new snow', 'subjectScheme': 'main'}]",,['netCDF']
-10.17178/amma-catch.ce.rain_nc,"Precipitation dataset (5 minutes rainfall), over the Niamey square degree site (16 000 km2), Niger","IRD, CNRS-INSU, OSUG, OMP, OREME",2005,en,Dataset,"Creative Commons Attribution 4.0 International,Data access and use are ruled by the AMMA-CATCH data policy.,For any publication using AMMA-CATCH data, authors are asked to:
+10.5281/zenodo.8412455,SpectralGPT: The first remote sensing foundation model customized for spectral data,Zenodo,2023,,Dataset,"Creative Commons Attribution 4.0 International,Open Access","SpectralGPT is the first purpose-built foundation model designed explicitly for spectral RS data. It considers unique characteristics of spectral data, i.e., spatial-spectral coupling and spectral sequentiality, in the MAE framework with a simple yet effective 3D GPT network. We will gradually release the trained models (SpectralGPT, SpectralGPT+), the new benchmark dataset (SegMunich) for the downstream task of semantic segmentation, original code, and implementation instructions.",mds,True,findable,0,0,0,0,0,2023-10-06T03:38:29.000Z,2023-10-06T03:38:29.000Z,cern.zenodo,cern,,,,
+10.5281/zenodo.7602827,Military Air Defense System Requirements,Zenodo,2023,en,Dataset,"GNU Lesser General Public License v3.0 or later,Open Access","This repository contains the military air defense system requirements described in ""Automatic requirements extraction, analysis, and graph representation using an approach derived from computational linguistics"" by Faisal Mokammel, Eric Coatanéa, Joonas Coatanéa, Vladislav Nenchev, Eric Blanco, and Matti Pietola.",mds,True,findable,0,0,0,0,0,2023-02-03T12:38:28.000Z,2023-02-03T12:38:28.000Z,cern.zenodo,cern,"contradiction analysis,network representation,requirements management,similarity","[{'subject': 'contradiction analysis'}, {'subject': 'network representation'}, {'subject': 'requirements management'}, {'subject': 'similarity'}]",,
+10.48537/hal-03220303,Extending sensibility for metabolic processes in immersive media environments,Reseau International Ambiances,2020,en,Text,Creative Commons Attribution Non Commercial No Derivatives 2.0 Generic,"How can we experience the relation to our surroundings as processual and at the same time meaningful, and not from a perspective that is solely function-oriented but as the expression of meaning that lies in the nature of our relational being itself? In this paper I explore how an æsthethics of atmospheres in spatial installations can heighten our sensitivity for ecological inter- dependencies (external) and at the same time for the responsiveness of our bodies previous to semantic reference (internal). In this respon- siveness I locate an openness towards patterns in the internal and external surroundings that allow a specific situation to make sense for a perceiving subject.",mds,True,findable,0,0,0,0,0,2021-06-17T09:44:06.000Z,2021-06-17T09:44:07.000Z,jbru.aau,jbru,"Metabolism,Phenomenology,Atmosphere,Aesthetics,Media Ecologies","[{'lang': 'eng', 'subject': 'Metabolism'}, {'lang': 'eng', 'subject': 'Phenomenology'}, {'lang': 'eng', 'subject': 'Atmosphere'}, {'lang': 'eng', 'subject': 'Aesthetics'}, {'lang': 'eng', 'subject': 'Media Ecologies'}]",['6 pages'],['application/pdf']
+10.57745/lxtwng,Terahertz cyclotron emission from two-dimensional Dirac fermions,Recherche Data Gouv,2023,,Dataset,,"Data associated to the following publication: Gebert, S., Consejo, C., Krishtopenko, S.S. et al. Terahertz cyclotron emission from two-dimensional Dirac fermions. Nat. Photon. (2023). https://doi.org/10.1038/s41566-022-01129-1",mds,True,findable,126,7,0,0,0,2023-02-01T21:02:44.000Z,2023-02-09T15:07:59.000Z,rdg.prod,rdg,,,,
+10.5281/zenodo.12378,xraylib 3.1.0,Zenodo,2014,,Software,"BSD licenses (New and Simplified),Open Access","Quantitative estimate of elemental composition by spectroscopic and imaging techniques using X-ray fluorescence requires the availability of accurate data of X-ray interaction with matter. Although a wide number of computer codes and data sets are reported in literature, none of them is presented in the form of freely available library functions which can be easily included in software applications for X-ray fluorescence. This work presents a compilation of data sets from different published works and an xraylib interface in the form of callable functions. Although the target applications are on X-ray fluorescence, cross sections of interactions like photoionization, coherent scattering and Compton scattering, as well as form factors and anomalous scattering functions, are also available. xraylib provides access to some of the most respected databases of physical data in the field of x-rays. The core of xraylib is a library, written in ANSI C, containing over 40 functions to be used to retrieve data from these databases. This C library can be directly linked with any program written in C, C++ or Objective-C. Furthermore, the xraylib package contains bindings to several popular programming languages: Fortran 2003, Perl, Python, Java, IDL, Lua, Ruby, PHP and .NET, as well as a command-line utility which can be used as a pocket-calculator. Although not officially supported, xraylib has been reported to be useable from within Matlab and LabView. The source code is known to compile and run on the following platforms: Linux, Mac OS X, Solaris, FreeBSD and Windows.<br> Development occurs on Github: http://github.com/tschoonj/xraylib<br> Downloads are hosted by the X-ray Micro-spectroscopy and Imaging research group of Ghent University: http://lvserver.ugent.be/xraylib Version 3.1.0 release notes: - Database of commonly used radionuclides for X-ray sources added (new API: GetRadioNuclideDataByName, GetRadioNuclideDataByIndex, GetRadioNuclideDataList and FreeRadioNuclideData)<br> - numpy Python bindings added, generated with Cython. Performance basically the same as the core C library. (suggested by Matt Newville)<br> - docstring support added to Python bindings (suggested by Matt Newville)<br> - Windows SDKs now have support for Python 3.4.<br> - Windows 64-bit SDK now comes with IDL bindings<br> - Confirmed support for LabView (thanks to Dariush Hampai!)<br> - Universal Intel 32/64 bit Framework built for Mac OS X<br> - Perl support for Debian/Ubuntu<br> - Several bugfixes: thanks to those that reported them!",mds,True,findable,0,0,2,0,0,2014-10-24T08:03:54.000Z,2014-10-24T08:03:55.000Z,cern.zenodo,cern,"xraylib,X-ray fluorescence,quantification,fundamental parameters,software library","[{'subject': 'xraylib'}, {'subject': 'X-ray fluorescence'}, {'subject': 'quantification'}, {'subject': 'fundamental parameters'}, {'subject': 'software library'}]",,
+10.48537/hal-03220336,"Displacement: Architectural Collage, Investigating Atmospheres in a Design Studio",Reseau International Ambiances,2020,en,Text,Creative Commons Attribution Non Commercial No Derivatives 2.0 Generic,"During the construction of Hearst Castle in CA, W. R. Hearst purchased archi- tectural antiquities from throughout Europe. His motivation was to create an atmosphere providing both rich multi-sensory perceptions and meaning through the cultural values embedded in the European spolia. In 1929, Hearst purchased a 14th century English tithe barn that was disassembled and shipped to CA, but never used. The current owner asked an architectural design studio to investigate how atmospheres might arise through the introduc- tion of fragments of this ancient structure into public spaces in Cal Poly’s Brutalist library. This paper will present the methodology and outcomes of the design studio that investigated how an architectural collage could prompt multiple modes of engagement.",mds,True,findable,0,0,0,0,0,2021-06-17T16:48:14.000Z,2021-06-17T16:48:15.000Z,jbru.aau,jbru,"Architecture,FOS: Civil engineering,History,Atmosphere,Collage,Bricolage","[{'lang': 'eng', 'subject': 'Architecture'}, {'subject': 'FOS: Civil engineering', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'lang': 'eng', 'subject': 'History'}, {'lang': 'eng', 'subject': 'Atmosphere'}, {'lang': 'eng', 'subject': 'Collage'}, {'lang': 'eng', 'subject': 'Bricolage'}]",['6 pages'],['application/pdf']
+10.17178/cryobsclim.clb.col,"Col, Automatic Weather Station",CNRS - OSUG - Meteo France - Irstea,2010,,Dataset,"Data access and use are ruled by the CRYOBS-CLIM data policy.,Always quote below citation to Guyomarch et al. (2019) when using data.
+G. Guyomarc'h, H. bellot, V. Vionnet, F. Naaim-Bouvet, Y. Deliot, F. Fontaine, P. Pugliese, M. Naaim, K. Nishimura, A meteorological and blowing snow data set (2000-2016) from a high altitude alpine site (Col du Lac Blanc, France, 2720 m a.s.l), Earth System Science Data, 11(2019), 57-69, https://doi.org/10.5194/essd-11-57-2019. The following acknowledging sentence should appear in publications using Cryobs-Clim-CLB data and products: ""Cryobs-Clim Col du Lac Blanc is funded by Meteo France, Irstea, the Institut National des Sciences de l’Univers (INSU/CNRS), and the Observatoire des Sciences de l’Univers de Grenoble (OSUG / Université Grenoble Alpes)â€. You are invited to contact the PI(s) or lead scientist for more information about the data and to include the acknowledgement sentence in any publication using the data.","This dataset is part of the Cryobs-Clim-CLB (CRYosphere, an OBServatory of the CLIMate – Col du Lac Blanc) observatory",mds,True,findable,0,0,1,0,0,2018-04-09T10:16:35.000Z,2018-04-09T10:16:35.000Z,inist.osug,jbru,"Wind speed,Wind direction,Snow depth,Blowing snow flux","[{'subject': 'Wind speed', 'subjectScheme': 'main'}, {'subject': 'Wind direction', 'subjectScheme': 'main'}, {'subject': 'Snow depth', 'subjectScheme': 'main'}, {'subject': 'Blowing snow flux', 'subjectScheme': 'main'}]",,['CSV']
+10.17178/gnss.products.southamerica_gipsyx.daily,Metadata and GNSS daily position solutions for permanent GNSS stations in South America,"CNRS, OSUG, ISTERRE",2023,en,Dataset,"License: CC BY-NC-ND 4.0,Data access and use are ruled by the OSUG data policy.,The following acknowledging sentence should appear in publications using ISTerre GNSS products: ""GNSS products are calculated and provided by the Institut of Sciences de la Terre (ISTerre), belonging to the Institut National des Sciences de l’Univers (INSU/CNRS) and the Observatoire des Sciences de l’Univers de Grenoble (OSUG / Université Grenoble Alpes)"".
+You are invited to contact the PI(s) or lead scientist for more information about the data and to include the acknowledgement sentence in any publication using the data.","This dataset includes metadata, as well as daily position solutions for a large number (>700) of permanent GNSS stations in South America. These data were processed by ISTerre in the frame of the DEEP-trigger project. The products are daily position time series (North, East and Vertical), in the ITRF14 reference frame, calculated from RINEX files using the PPP strategy with GIPSYX software.",mds,True,findable,0,0,0,0,0,2023-04-08T13:17:57.000Z,2023-04-08T13:18:03.000Z,inist.osug,jbru,"GNSS products,GNSS data analysis,Time serie positioning","[{'subject': 'GNSS products', 'subjectScheme': 'main'}, {'subject': 'GNSS data analysis', 'subjectScheme': 'var'}, {'subject': 'Time serie positioning', 'subjectScheme': 'var'}]",,"['pos', 'PBO']"
+10.17178/emaa_para-nd3_rotation_da7fd1bd,Rotation excitation of para-ND3 by para-H2 collisions,"UGA, CNRS, CNRS-INSU, OSUG",2021,en,Dataset,"Please acknowledge the use of EMAA Database by citing the original articles in which the data were published (BibTeX format available), and adding the following sentence in your publication:
+This research has made use of spectroscopic and collisional data from the EMAA database (https://emaa.osug.fr). EMAA is supported by the Observatoire des Sciences de l'Univers de Grenoble (OSUG),Creative Commons Attribution 4.0 International,Data access and use are ruled by the EMAA data policy.",9 rotation energy levels / 8 radiative transitions / 36 collisional transitions for para-H2 (8 temperatures in the range 5-40K),mds,True,findable,0,0,0,0,0,2021-11-17T14:02:08.000Z,2021-11-17T14:02:09.000Z,inist.osug,jbru,"target para-ND3,excitationType Rotation,collisional excitation,collider.0 para-H2,astrophysics,interstellar medium,comets,circumstellar medium,gas,microwave spectroscopy,infrared spectroscopy,rotational excitation,rovibrational excitation,vibrational excitation,electronic excitation,collisional rate coefficients,fine structure,hyperfine structure","[{'subject': 'target para-ND3', 'subjectScheme': 'main'}, {'subject': 'excitationType Rotation', 'subjectScheme': 'main'}, {'subject': 'collisional excitation', 'subjectScheme': 'main'}, {'subject': 'collider.0 para-H2', 'subjectScheme': 'var'}, {'subject': 'astrophysics', 'subjectScheme': 'var'}, {'subject': 'interstellar medium', 'subjectScheme': 'var'}, {'subject': 'comets', 'subjectScheme': 'var'}, {'subject': 'circumstellar medium', 'subjectScheme': 'var'}, {'subject': 'gas', 'subjectScheme': 'var'}, {'subject': 'microwave spectroscopy', 'subjectScheme': 'var'}, {'subject': 'infrared spectroscopy', 'subjectScheme': 'var'}, {'subject': 'rotational excitation', 'subjectScheme': 'var'}, {'subject': 'rovibrational excitation', 'subjectScheme': 'var'}, {'subject': 'vibrational excitation', 'subjectScheme': 'var'}, {'subject': 'electronic excitation', 'subjectScheme': 'var'}, {'subject': 'collisional rate coefficients', 'subjectScheme': 'var'}, {'subject': 'fine structure', 'subjectScheme': 'var'}, {'subject': 'hyperfine structure', 'subjectScheme': 'var'}]",,['Radex']
+10.48537/hal-03220314,"From a Sensitive Ecology to a Political Ecology of Ambiances, Issues and Challenges?",Reseau International Ambiances,2020,en,Text,Creative Commons Attribution Non Commercial No Derivatives 2.0 Generic,"The interest in ambiances or atmos- pheres largely contributed to the clarification of the role of sensory phenomena of space, perceptual modalities and affects in the construction of social life. Among the research on ambiance and atmospheres, some of them question the effects of ambiance policies on forms of civility in public, and on ways of be- ing in the world as well as living together. In doing so, they contribute to the politicization of urban ambiances. With a prospective aim, this chapter extends this strand towards the field of urban political ecology. By questioning the modalities and issues involved in opening up this latter field to the sensory, this text aims to indicate what a “political ecology of ambiances†could be and what it could do.",mds,True,findable,0,0,0,0,0,2021-06-17T20:45:42.000Z,2021-06-17T20:45:43.000Z,jbru.aau,jbru,"Urban Ambiances,Social and Sensory Ecologies,Politics,Living Well Together","[{'lang': 'eng', 'subject': 'Urban Ambiances'}, {'lang': 'eng', 'subject': 'Social and Sensory Ecologies'}, {'lang': 'eng', 'subject': 'Politics'}, {'lang': 'eng', 'subject': 'Living Well Together'}]",['6 pages'],['application/pdf']
+10.17178/emaa_(40ar)h-plus_rotation_8c27af9a,Rotation excitation of [40Ar]H+ by H and electron collisions,"UGA, CNRS, CNRS-INSU, OSUG",2021,en,Dataset,"Please acknowledge the use of EMAA Database by citing the original articles in which the data were published (BibTeX format available), and adding the following sentence in your publication:
+This research has made use of spectroscopic and collisional data from the EMAA database (https://emaa.osug.fr). EMAA is supported by the Observatoire des Sciences de l'Univers de Grenoble (OSUG),Creative Commons Attribution 4.0 International,Data access and use are ruled by the EMAA data policy.",12 rotation energy levels / 11 radiative transitions / 66 collisional transitions for H (34 temperatures in the range 10-1000K) / 60 collisional transitions for electron (12 temperatures in the range 10-3000K),mds,True,findable,0,0,0,0,0,2021-11-18T13:34:35.000Z,2021-11-18T13:34:36.000Z,inist.osug,jbru,"target [40Ar]H+,excitationType Rotation,collisional excitation,collider.0 H,collider.1 electron,astrophysics,interstellar medium,comets,circumstellar medium,gas,microwave spectroscopy,infrared spectroscopy,rotational excitation,rovibrational excitation,vibrational excitation,electronic excitation,collisional rate coefficients,fine structure,hyperfine structure","[{'subject': 'target [40Ar]H+', 'subjectScheme': 'main'}, {'subject': 'excitationType Rotation', 'subjectScheme': 'main'}, {'subject': 'collisional excitation', 'subjectScheme': 'main'}, {'subject': 'collider.0 H', 'subjectScheme': 'var'}, {'subject': 'collider.1 electron', 'subjectScheme': 'var'}, {'subject': 'astrophysics', 'subjectScheme': 'var'}, {'subject': 'interstellar medium', 'subjectScheme': 'var'}, {'subject': 'comets', 'subjectScheme': 'var'}, {'subject': 'circumstellar medium', 'subjectScheme': 'var'}, {'subject': 'gas', 'subjectScheme': 'var'}, {'subject': 'microwave spectroscopy', 'subjectScheme': 'var'}, {'subject': 'infrared spectroscopy', 'subjectScheme': 'var'}, {'subject': 'rotational excitation', 'subjectScheme': 'var'}, {'subject': 'rovibrational excitation', 'subjectScheme': 'var'}, {'subject': 'vibrational excitation', 'subjectScheme': 'var'}, {'subject': 'electronic excitation', 'subjectScheme': 'var'}, {'subject': 'collisional rate coefficients', 'subjectScheme': 'var'}, {'subject': 'fine structure', 'subjectScheme': 'var'}, {'subject': 'hyperfine structure', 'subjectScheme': 'var'}]",,['Radex']
+10.17178/emaa_sh-plus_hyperfine_da4d4f7a,"Hyperfine excitation of SH+ by H, electron, ortho-H2 and para-H2 collisions","UGA, CNRS, CNRS-INSU, OSUG",2021,en,Dataset,"Please acknowledge the use of EMAA Database by citing the original articles in which the data were published (BibTeX format available), and adding the following sentence in your publication:
+This research has made use of spectroscopic and collisional data from the EMAA database (https://emaa.osug.fr). EMAA is supported by the Observatoire des Sciences de l'Univers de Grenoble (OSUG),Creative Commons Attribution 4.0 International,Data access and use are ruled by the EMAA data policy.",67 hyperfine energy levels / 227 radiative transitions / 666 collisional transitions for para-H2 (32 temperatures in the range 10-500K) / 666 collisional transitions for ortho-H2 (32 temperatures in the range 10-500K) / 1790 collisional transitions for H (10 temperatures in the range 10-1000K) / 1945 collisional transitions for electron (11 temperatures in the range 10-2000K),mds,True,findable,0,0,0,0,0,2022-02-07T11:26:23.000Z,2022-02-07T11:26:24.000Z,inist.osug,jbru,"target SH+,excitationType Hyperfine,collisional excitation,collider.0 para-H2,collider.1 ortho-H2,collider.2 H,collider.3 electron,astrophysics,interstellar medium,comets,circumstellar medium,gas,microwave spectroscopy,infrared spectroscopy,rotational excitation,rovibrational excitation,vibrational excitation,electronic excitation,collisional rate coefficients,fine structure,hyperfine structure","[{'subject': 'target SH+', 'subjectScheme': 'main'}, {'subject': 'excitationType Hyperfine', 'subjectScheme': 'main'}, {'subject': 'collisional excitation', 'subjectScheme': 'main'}, {'subject': 'collider.0 para-H2', 'subjectScheme': 'var'}, {'subject': 'collider.1 ortho-H2', 'subjectScheme': 'var'}, {'subject': 'collider.2 H', 'subjectScheme': 'var'}, {'subject': 'collider.3 electron', 'subjectScheme': 'var'}, {'subject': 'astrophysics', 'subjectScheme': 'var'}, {'subject': 'interstellar medium', 'subjectScheme': 'var'}, {'subject': 'comets', 'subjectScheme': 'var'}, {'subject': 'circumstellar medium', 'subjectScheme': 'var'}, {'subject': 'gas', 'subjectScheme': 'var'}, {'subject': 'microwave spectroscopy', 'subjectScheme': 'var'}, {'subject': 'infrared spectroscopy', 'subjectScheme': 'var'}, {'subject': 'rotational excitation', 'subjectScheme': 'var'}, {'subject': 'rovibrational excitation', 'subjectScheme': 'var'}, {'subject': 'vibrational excitation', 'subjectScheme': 'var'}, {'subject': 'electronic excitation', 'subjectScheme': 'var'}, {'subject': 'collisional rate coefficients', 'subjectScheme': 'var'}, {'subject': 'fine structure', 'subjectScheme': 'var'}, {'subject': 'hyperfine structure', 'subjectScheme': 'var'}]",,['Radex']
+10.5281/zenodo.20031,Crystallization And X-Ray Diffraction Studies Of A Complete Bacterial Fatty-Acid Synthase Type I,Zenodo,2015,,Dataset,"Creative Commons Attribution Share-Alike 4.0,Open Access","These are X-ray diffraction data from the publication<br>
+Enderle, M.E, McCarthy, A, Paithankar, K. S, and Grininger, M
-Mandatory: cite the reference article and the DOI of the observatory
+Crystallization and X-ray diffraction studies of a complete bacterial fatty-acid synthase type I.
- (1) Galle et al. (2018). AMMA-CATCH a Critical Zone Observatory in West Africa Monitoring a Region in Transition. Vadose Zone Journal, 17 (1), 18006.
- (2) AMMA-CATCH (1990). AMMA-CATCH : a hydrological, meteorological and ecological observatory on West Africa. IRD, CNRS-INSU, OSUG, OMP, OREME. doi:10.17178/AMMA-CATCH.all
+Acta Crystallogr F Struct Biol Commun. 2015 Nov;71(Pt 11):1401-7
-Optional: cite the DOI of each dataset used.
+CC-BY-SA license
-Co-authorship: depending on the contribution of the data to the scientific results obtained, the authors should either propose co-authorship to the data providers or at least acknowledge their contribution.","Documentation of rainfall in the Sahelian zone. The aim is to characterize the temporal and spatial variability of rainfall down to the local scale, where process studies are carried on. Data is used in hydrological modelling and process studies.",mds,True,findable,0,0,2,0,0,2018-03-16T15:36:59.000Z,2018-03-16T15:36:59.000Z,inist.osug,jbru,"Rainfall, precipitation, tropical convection,Sahelian climate,Precipitation Amount (previous hour),Precipitation Amount (previous 5 minutes),Precipitation Amount (previous 24 hours)","[{'subject': 'Rainfall, precipitation, tropical convection', 'subjectScheme': 'main'}, {'subject': 'Sahelian climate', 'subjectScheme': 'main'}, {'subject': 'Precipitation Amount (previous hour)', 'subjectScheme': 'var'}, {'subject': 'Precipitation Amount (previous 5 minutes)', 'subjectScheme': 'var'}, {'subject': 'Precipitation Amount (previous 24 hours)', 'subjectScheme': 'var'}]",,"['CSV', 'NETCDF', 'O&M 1.0']"
-10.17178/amma-catch.benin,"AMMA-CATCH observatory: upper Oueme mesoscale site (14 000 km2) in the sudanian climate zone, Benin","IRD, CNRS-INSU, OSUG, OMP, OREME",1996,en,Dataset,"Creative Commons Attribution 4.0 International,Data access and use are ruled by the AMMA-CATCH data policy.,For any publication using AMMA-CATCH data, authors are asked to:
+MD5SUMS
+
+a774aabcd316b5b200ef5c08b109ba9a crystal-form-II_part-1.tar.lzma
+
+3596da75621648cc0ac5ee84b26deab0 crystal-form-II_part-2.tar.lzma
+
+8a5410ce3178c814d7a127491e68ca0a crystal-form-I_part-1.tar.lzma
+
+259614e1b2cfe089141fb7baa846af7e crystal-form-I_part-2.tar.lzma",,True,findable,0,0,0,0,0,2015-07-13T08:26:55.000Z,2015-07-13T08:26:56.000Z,cern.zenodo,cern,macromolecular crystallography,[{'subject': 'macromolecular crystallography'}],,
+10.17178/emaa_n(15n)h-plus_hyperfine_4f2d77ce,Hyperfine excitation of N[15N]H+ by para-H2 collisions,"UGA, CNRS, CNRS-INSU, OSUG",2021,en,Dataset,"Please acknowledge the use of EMAA Database by citing the original articles in which the data were published (BibTeX format available), and adding the following sentence in your publication:
+This research has made use of spectroscopic and collisional data from the EMAA database (https://emaa.osug.fr). EMAA is supported by the Observatoire des Sciences de l'Univers de Grenoble (OSUG),Creative Commons Attribution 4.0 International,Data access and use are ruled by the EMAA data policy.",13 hyperfine energy levels / 19 radiative transitions / 78 collisional transitions for para-H2 (14 temperatures in the range 5-70K),mds,True,findable,0,0,0,0,0,2021-11-18T13:35:18.000Z,2021-11-18T13:35:19.000Z,inist.osug,jbru,"target N[15N]H+,excitationType Hyperfine,collisional excitation,collider.0 para-H2,astrophysics,interstellar medium,comets,circumstellar medium,gas,microwave spectroscopy,infrared spectroscopy,rotational excitation,rovibrational excitation,vibrational excitation,electronic excitation,collisional rate coefficients,fine structure,hyperfine structure","[{'subject': 'target N[15N]H+', 'subjectScheme': 'main'}, {'subject': 'excitationType Hyperfine', 'subjectScheme': 'main'}, {'subject': 'collisional excitation', 'subjectScheme': 'main'}, {'subject': 'collider.0 para-H2', 'subjectScheme': 'var'}, {'subject': 'astrophysics', 'subjectScheme': 'var'}, {'subject': 'interstellar medium', 'subjectScheme': 'var'}, {'subject': 'comets', 'subjectScheme': 'var'}, {'subject': 'circumstellar medium', 'subjectScheme': 'var'}, {'subject': 'gas', 'subjectScheme': 'var'}, {'subject': 'microwave spectroscopy', 'subjectScheme': 'var'}, {'subject': 'infrared spectroscopy', 'subjectScheme': 'var'}, {'subject': 'rotational excitation', 'subjectScheme': 'var'}, {'subject': 'rovibrational excitation', 'subjectScheme': 'var'}, {'subject': 'vibrational excitation', 'subjectScheme': 'var'}, {'subject': 'electronic excitation', 'subjectScheme': 'var'}, {'subject': 'collisional rate coefficients', 'subjectScheme': 'var'}, {'subject': 'fine structure', 'subjectScheme': 'var'}, {'subject': 'hyperfine structure', 'subjectScheme': 'var'}]",,['Radex']
+10.48537/hal-03220288,Designing With Fog,Reseau International Ambiances,2020,en,Text,Creative Commons Attribution Non Commercial No Derivatives 2.0 Generic,"Designing with Fog traces the development of 10 Kinds of Fog: Prototypes, a set of ten ephemeral, dynamic, and environ- mentally-responsive fog sculptures. Developing the installation required that, as designers, we had to find fog – that we go on a journey from seeing fog as a carrier and enabler, to seeing it as a material with properties that can be explored and designed with. It built on a proposal for an immersive, multi-sensorial Fog Garden, in which fogponics carried plant nutrients. Explorations into ways of deliver- ing, shaping and releasing fog in relation to the plants led to an increasing understanding of fog’s own behaviour. Finding fog was thus attuning to changes in buoyancy, litheness and opacity arising from the relationship between materials and the environment.",mds,True,findable,0,0,0,0,0,2021-06-17T10:17:01.000Z,2021-06-17T10:17:02.000Z,jbru.aau,jbru,"Atmospheric Design,Environmental Performance,Installation Art,Materiality","[{'lang': 'eng', 'subject': 'Atmospheric Design'}, {'lang': 'eng', 'subject': 'Environmental Performance'}, {'lang': 'eng', 'subject': 'Installation Art'}, {'lang': 'eng', 'subject': 'Materiality'}]",['6 pages'],['application/pdf']
+10.17178/gnss.products.epos,GNSS position and velocity solutions calculated in the framework of the EPOS initiative,"CNRS, OSUG, ISTERRE",2019,en,Dataset,"License: CC BY-NC-ND 4.0,Data access and use are ruled by the OSUG data policy.,The following acknowledging sentence should appear in publications using ISTerre GNSS products: ""GNSS products are calculated and provided by the Institut of Sciences de la Terre (ISTerre), belonging to the Institut National des Sciences de l’Univers (INSU/CNRS) and the Observatoire des Sciences de l’Univers de Grenoble (OSUG / Université Grenoble Alpes)"".
+You are invited to contact the PI(s) or lead scientist for more information about the data and to include the acknowledgement sentence in any publication using the data.","This dataset include all GNSS solutions processed by ISTerre in the framework of the EPOS initiative. These products are position time series (North, East and Vertical) and the horizontal and vertical velocity fields calculated from rinex files using the double difference method with GAMIT software.",mds,True,findable,0,0,0,0,0,2019-11-08T14:59:30.000Z,2019-11-08T14:59:31.000Z,inist.osug,jbru,"GNSS products,Velocity field,GNSS data analysis,Time serie positioning","[{'subject': 'GNSS products', 'subjectScheme': 'main'}, {'subject': 'Velocity field', 'subjectScheme': 'var'}, {'subject': 'GNSS data analysis', 'subjectScheme': 'var'}, {'subject': 'Time serie positioning', 'subjectScheme': 'var'}]",,"['sinex', 'pos', 'PBO']"
+10.18709/perscido.2020.09.ds330,"Field campaign at Col du Lautaret 2016-2018 (2058 m a.s.l., French Alps): Snow surface properties and albedo measurements at Col du Lautaret",PerSciDo,2020,en,Dataset,,"This dataset contains the data of the manuscript ""Quantification of the radiative impact of light-absorbing particles during two contrasted snow seasons at Col du Lautaret (2058 m a.s.l., French Alps)"" published in The Cryosphere. It is made of spectral albedo measurements and analysis, manual snow pit measurements, automated atmospheric variables measurements.",fabrica,True,findable,0,0,0,0,0,2020-09-15T09:01:49.000Z,2020-09-15T09:01:49.000Z,inist.persyval,vcob,Snow science,"[{'lang': 'en', 'subject': 'Snow science'}]",['100 MB'],"['csv', 'netCDF4 classic']"
+10.17178/amma-catch.cl.rain_n,"Precipitation dataset (5 minutes rainfall), 30 long-term stations over the Niamey square degree site (16 000 km2), Niger","IRD, CNRS-INSU, OSUG, OMP, OREME",1990,en,Dataset,"Creative Commons Attribution 4.0 International,Data access and use are ruled by the AMMA-CATCH data policy.,For any publication using AMMA-CATCH data, authors are asked to:
Mandatory: cite the reference article and the DOI of the observatory
@@ -3895,14 +3909,19 @@ Mandatory: cite the reference article and the DOI of the observatory
Optional: cite the DOI of each dataset used.
-Co-authorship: depending on the contribution of the data to the scientific results obtained, the authors should either propose co-authorship to the data providers or at least acknowledge their contribution.","The Benin meso-scale site of the AMMA-CATCH observatory coincides with the upper basin of the Oueme River. It is centered on 9°5N et 2°E, and covers an area of about 15 000 km². It belongs to the « sudanian » climatic zone (1200 mm/year on avergage). The land cover is mainly composed of mixed crop/fallow, tree savannah landscape, and woodlands. It is representative of the land cover and land use at this latitude. Time series of rainfall and river discharge are available since 1997. Site equipment improved progressively including meteorological, hydrogeological, and ecological observations. Most instruments were made perennial since the launch of the AMMA international experiment in 2005.",mds,True,findable,0,0,1,0,0,2018-03-16T15:36:56.000Z,2018-03-16T15:36:56.000Z,inist.osug,jbru,"Sudanian climate,Precipitation,Surface water,Meteo,Flux,Radiation,Vegetation,Ground water,Soils,Water quality / Water chemistry","[{'subject': 'Sudanian climate', 'subjectScheme': 'main'}, {'subject': 'Precipitation', 'subjectScheme': 'var'}, {'subject': 'Surface water', 'subjectScheme': 'var'}, {'subject': 'Meteo', 'subjectScheme': 'var'}, {'subject': 'Flux', 'subjectScheme': 'var'}, {'subject': 'Radiation', 'subjectScheme': 'var'}, {'subject': 'Vegetation', 'subjectScheme': 'var'}, {'subject': 'Ground water', 'subjectScheme': 'var'}, {'subject': 'Soils', 'subjectScheme': 'var'}, {'subject': 'Water quality / Water chemistry', 'subjectScheme': 'var'}]",,"['CSV', 'NETCDF', 'O&M 1.0']"
-10.17178/emaa_c(13c)h_hyperfine_2bb79b69,Hyperfine excitation of C[13C]H by para-H2 collisions,"UGA, CNRS, CNRS-INSU, OSUG",2023,en,Dataset,"Please acknowledge the use of EMAA Database by citing the original articles in which the data were published (BibTeX format available), and adding the following sentence in your publication:
-This research has made use of spectroscopic and collisional data from the EMAA database (https://emaa.osug.fr). EMAA is supported by the Observatoire des Sciences de l'Univers de Grenoble (OSUG),Creative Commons Attribution 4.0 International,Data access and use are ruled by the EMAA data policy.",98 hyperfine energy levels / 119 radiative transitions / 4752 collisional transitions for para-H2 (20 temperatures in the range 5-100K),mds,True,findable,0,0,0,0,0,2023-12-07T15:50:34.000Z,2023-12-07T15:50:35.000Z,inist.osug,jbru,"target C[13C]H,excitationType Hyperfine,collisional excitation,collider.0 para-H2,astrophysics,interstellar medium,comets,circumstellar medium,gas,microwave spectroscopy,infrared spectroscopy,rotational excitation,rovibrational excitation,vibrational excitation,electronic excitation,collisional rate coefficients,fine structure,hyperfine structure","[{'subject': 'target C[13C]H', 'subjectScheme': 'main'}, {'subject': 'excitationType Hyperfine', 'subjectScheme': 'main'}, {'subject': 'collisional excitation', 'subjectScheme': 'main'}, {'subject': 'collider.0 para-H2', 'subjectScheme': 'var'}, {'subject': 'astrophysics', 'subjectScheme': 'var'}, {'subject': 'interstellar medium', 'subjectScheme': 'var'}, {'subject': 'comets', 'subjectScheme': 'var'}, {'subject': 'circumstellar medium', 'subjectScheme': 'var'}, {'subject': 'gas', 'subjectScheme': 'var'}, {'subject': 'microwave spectroscopy', 'subjectScheme': 'var'}, {'subject': 'infrared spectroscopy', 'subjectScheme': 'var'}, {'subject': 'rotational excitation', 'subjectScheme': 'var'}, {'subject': 'rovibrational excitation', 'subjectScheme': 'var'}, {'subject': 'vibrational excitation', 'subjectScheme': 'var'}, {'subject': 'electronic excitation', 'subjectScheme': 'var'}, {'subject': 'collisional rate coefficients', 'subjectScheme': 'var'}, {'subject': 'fine structure', 'subjectScheme': 'var'}, {'subject': 'hyperfine structure', 'subjectScheme': 'var'}]",,['Radex']
-10.17178/emaa_oh_fine_2e526008,Fine excitation of OH by ortho-H2 and para-H2 collisions,"UGA, CNRS, CNRS-INSU, OSUG",2021,en,Dataset,"Please acknowledge the use of EMAA Database by citing the original articles in which the data were published (BibTeX format available), and adding the following sentence in your publication:
-This research has made use of spectroscopic and collisional data from the EMAA database (https://emaa.osug.fr). EMAA is supported by the Observatoire des Sciences de l'Univers de Grenoble (OSUG),Creative Commons Attribution 4.0 International,Data access and use are ruled by the EMAA data policy.",20 fine energy levels / 50 radiative transitions / 190 collisional transitions for para-H2 (7 temperatures in the range 10-150K) / 190 collisional transitions for ortho-H2 (7 temperatures in the range 10-150K),mds,True,findable,0,0,0,0,0,2022-02-07T11:25:20.000Z,2022-02-07T11:25:21.000Z,inist.osug,jbru,"target OH,excitationType Fine,collisional excitation,collider.0 para-H2,collider.1 ortho-H2,astrophysics,interstellar medium,comets,circumstellar medium,gas,microwave spectroscopy,infrared spectroscopy,rotational excitation,rovibrational excitation,vibrational excitation,electronic excitation,collisional rate coefficients,fine structure,hyperfine structure","[{'subject': 'target OH', 'subjectScheme': 'main'}, {'subject': 'excitationType Fine', 'subjectScheme': 'main'}, {'subject': 'collisional excitation', 'subjectScheme': 'main'}, {'subject': 'collider.0 para-H2', 'subjectScheme': 'var'}, {'subject': 'collider.1 ortho-H2', 'subjectScheme': 'var'}, {'subject': 'astrophysics', 'subjectScheme': 'var'}, {'subject': 'interstellar medium', 'subjectScheme': 'var'}, {'subject': 'comets', 'subjectScheme': 'var'}, {'subject': 'circumstellar medium', 'subjectScheme': 'var'}, {'subject': 'gas', 'subjectScheme': 'var'}, {'subject': 'microwave spectroscopy', 'subjectScheme': 'var'}, {'subject': 'infrared spectroscopy', 'subjectScheme': 'var'}, {'subject': 'rotational excitation', 'subjectScheme': 'var'}, {'subject': 'rovibrational excitation', 'subjectScheme': 'var'}, {'subject': 'vibrational excitation', 'subjectScheme': 'var'}, {'subject': 'electronic excitation', 'subjectScheme': 'var'}, {'subject': 'collisional rate coefficients', 'subjectScheme': 'var'}, {'subject': 'fine structure', 'subjectScheme': 'var'}, {'subject': 'hyperfine structure', 'subjectScheme': 'var'}]",,['Radex']
-10.17178/emaa_c-plus_fine_0b142c87,Fine excitation of C+ by ortho-H2 and para-H2 collisions,"UGA, CNRS, CNRS-INSU, OSUG",2021,en,Dataset,"Please acknowledge the use of EMAA Database by citing the original articles in which the data were published (BibTeX format available), and adding the following sentence in your publication:
-This research has made use of spectroscopic and collisional data from the EMAA database (https://emaa.osug.fr). EMAA is supported by the Observatoire des Sciences de l'Univers de Grenoble (OSUG),Creative Commons Attribution 4.0 International,Data access and use are ruled by the EMAA data policy.",2 fine energy levels / 1 radiative transitions / 1 collisional transitions for para-H2 (10 temperatures in the range 5-500K) / 1 collisional transitions for ortho-H2 (10 temperatures in the range 5-500K),mds,True,findable,0,0,0,0,0,2021-11-18T13:34:44.000Z,2021-11-18T13:34:45.000Z,inist.osug,jbru,"target C+,excitationType Fine,collisional excitation,collider.0 para-H2,collider.1 ortho-H2,astrophysics,interstellar medium,comets,circumstellar medium,gas,microwave spectroscopy,infrared spectroscopy,rotational excitation,rovibrational excitation,vibrational excitation,electronic excitation,collisional rate coefficients,fine structure,hyperfine structure","[{'subject': 'target C+', 'subjectScheme': 'main'}, {'subject': 'excitationType Fine', 'subjectScheme': 'main'}, {'subject': 'collisional excitation', 'subjectScheme': 'main'}, {'subject': 'collider.0 para-H2', 'subjectScheme': 'var'}, {'subject': 'collider.1 ortho-H2', 'subjectScheme': 'var'}, {'subject': 'astrophysics', 'subjectScheme': 'var'}, {'subject': 'interstellar medium', 'subjectScheme': 'var'}, {'subject': 'comets', 'subjectScheme': 'var'}, {'subject': 'circumstellar medium', 'subjectScheme': 'var'}, {'subject': 'gas', 'subjectScheme': 'var'}, {'subject': 'microwave spectroscopy', 'subjectScheme': 'var'}, {'subject': 'infrared spectroscopy', 'subjectScheme': 'var'}, {'subject': 'rotational excitation', 'subjectScheme': 'var'}, {'subject': 'rovibrational excitation', 'subjectScheme': 'var'}, {'subject': 'vibrational excitation', 'subjectScheme': 'var'}, {'subject': 'electronic excitation', 'subjectScheme': 'var'}, {'subject': 'collisional rate coefficients', 'subjectScheme': 'var'}, {'subject': 'fine structure', 'subjectScheme': 'var'}, {'subject': 'hyperfine structure', 'subjectScheme': 'var'}]",,['Radex']
-10.17178/amma-catch.al.met_nc,"Meteorological dataset (including radiative budget and soil variables), within the Niamey square degree site (16 000 km2), Niger","IRD, CNRS-INSU, OSUG, OMP, OREME",2005,en,Dataset,"Creative Commons Attribution 4.0 International,Data access and use are ruled by the AMMA-CATCH data policy.,For any publication using AMMA-CATCH data, authors are asked to:
+Co-authorship: depending on the contribution of the data to the scientific results obtained, the authors should either propose co-authorship to the data providers or at least acknowledge their contribution.","Documentation of rainfall in the Sahelian zone. The aim is to characterize the temporal and spatial variability of rainfall at meso-scale, with a good resolution of the convective scale patterns. Data is used in hydrological modelling and assimilation activities, process studies as well as for validation of satellite products.",mds,True,findable,0,0,1,0,0,2018-03-16T15:37:14.000Z,2018-03-16T15:37:14.000Z,inist.osug,jbru,"Rainfall, precipitation, tropical convection,Sahelian climate,Precipitation Amount (previous hour),Precipitation Amount (previous 5 minutes),Precipitation Amount (previous 24 hours)","[{'subject': 'Rainfall, precipitation, tropical convection', 'subjectScheme': 'main'}, {'subject': 'Sahelian climate', 'subjectScheme': 'main'}, {'subject': 'Precipitation Amount (previous hour)', 'subjectScheme': 'var'}, {'subject': 'Precipitation Amount (previous 5 minutes)', 'subjectScheme': 'var'}, {'subject': 'Precipitation Amount (previous 24 hours)', 'subjectScheme': 'var'}]",,"['CSV', 'NETCDF', 'O&M 1.0']"
+10.5281/zenodo.4629216,Deglacial ice sheet instabilities induced by proglacial lakes,Zenodo,2021,en,Dataset,"Creative Commons Attribution 4.0 International,Open Access","This archive provides the GRISLI ice sheet model outputs as part of the manuscript ""Deglacial ice sheet instabilities induced by proglacial lakes"". Contact: aurelien.quiquet@lsce.ipsl.fr",mds,True,findable,0,0,0,0,0,2021-03-23T08:23:24.000Z,2021-03-23T08:23:25.000Z,cern.zenodo,cern,"ice sheet,deglaciation,proglacial lake,grounding line","[{'subject': 'ice sheet'}, {'subject': 'deglaciation'}, {'subject': 'proglacial lake'}, {'subject': 'grounding line'}]",,
+10.48537/hal-03220307,"Making the Most of Parisian Quarries’ Air, Experimental Climatic Furniture Using Parisian Quarries’ Air to Cool Public Spaces",Reseau International Ambiances,2020,en,Text,Creative Commons Attribution Non Commercial No Derivatives 2.0 Generic,"As many large cities are confronted with global warming, Paris is looking for ways to be more resilient when facing urban heat island. The article describes a design experi- mentation aiming at tapping into naturally fresh air resources located in underground quarries underneath the streets of Paris. Working as urban sized earth-to-air-heat- exchangers, underground galleries will fuel a climatic bench that will cool down public spaces in summer.",mds,True,findable,0,0,0,0,0,2021-06-17T20:45:51.000Z,2021-06-17T20:45:52.000Z,jbru.aau,jbru,"Urban Heat Island,Paris,Underground Quarry,Urban Furniture,Public Space","[{'lang': 'eng', 'subject': 'Urban Heat Island'}, {'lang': 'eng', 'subject': 'Paris'}, {'lang': 'eng', 'subject': 'Underground Quarry'}, {'lang': 'eng', 'subject': 'Urban Furniture'}, {'lang': 'eng', 'subject': 'Public Space'}]",['6 pages'],['application/pdf']
+10.48537/hal-03220359,"Presencing Atmospheres, Session 10 – Introduction",Reseau International Ambiances,2020,en,Text,Creative Commons Attribution Non Commercial No Derivatives 2.0 Generic,,mds,True,findable,0,0,0,0,0,2021-06-17T16:48:33.000Z,2021-06-17T16:48:34.000Z,jbru.aau,jbru,,,['2 pages'],['application/pdf']
+10.5281/zenodo.1199545,Voter Autrement 2017 - Online Experiment,Zenodo,2018,en,Dataset,"Open Data Commons Open Database License 1.0,Open Access","In March and April 2017, we have run a voting experiment during the French presidential election. During this experiment, participants were asked to test several alternative voting methods to elect the French president, like scoring methods, instant-runoff voting, Borda with partial rankings. The experiment was both carried out <em>in situ</em> in polling stations during the first round of the presidential election (using paper ballots), and online during the month preceding the first round, and until the second round of the election (using a web application). A total of 6358 participants took part to the <em>in situ</em> experiment and 37739 participants took part to the online experiment. This dataset contains the answers provided by the participants to the online experiment, with no other processsing than a basic transformation to a set of CSV files.
+
+
+
+The companion paper available on this repository describes the experimental protocol, the format of the files, and summarizes the precise conditions under which this dataset is available.",legacy,True,findable,0,0,0,0,0,2018-07-25T17:16:23.000Z,2018-07-25T17:17:45.000Z,cern.zenodo,cern,"Election,Social Choice,Experimental Voting","[{'subject': 'Election'}, {'subject': 'Social Choice'}, {'subject': 'Experimental Voting'}]",,
+10.48537/hal-03220327,"Second-Order Ambiances, Background Music Transforming Public Spaces",Reseau International Ambiances,2020,en,Text,Creative Commons Attribution Non Commercial No Derivatives 2.0 Generic,"Background music is affected by so- cial, legal, economic and technological factors. It is intended to be listened to inattentively and is predominantly selected by someone other than those who encounter it. The ACMESOCS (2019-2022) research project examines urban auditory cultures, particularly how they are articulated, experienced and reclaimed within the acoustic environments of different-sized cities, thus contributing to policy-makers’ awareness of the æsthetic design of acoustic spaces and the defining of urban sonic identity. This paper presents the preliminary results of a case study carried out in selected enterprises located in an individual shopping mall. It con- centrates on the preferences of the end-users of background music and on their possibilities for alternative individual acoustic design.",mds,True,findable,0,0,0,0,0,2021-06-17T16:48:19.000Z,2021-06-17T16:48:19.000Z,jbru.aau,jbru,"Ubiquitous Music,Ambiances,Acoustic Design,Sonic Environment,Identity,Media","[{'lang': 'eng', 'subject': 'Ubiquitous Music'}, {'lang': 'eng', 'subject': 'Ambiances'}, {'lang': 'eng', 'subject': 'Acoustic Design'}, {'lang': 'eng', 'subject': 'Sonic Environment'}, {'lang': 'eng', 'subject': 'Identity'}, {'lang': 'eng', 'subject': 'Media'}]",['6 pages'],['application/pdf']
+10.17178/emaa_hnc_rotation_20269bc3,"Rotation excitation of HNC by electron, ortho-H2 and para-H2 collisions","UGA, CNRS, CNRS-INSU, OSUG",2021,en,Dataset,"Please acknowledge the use of EMAA Database by citing the original articles in which the data were published (BibTeX format available), and adding the following sentence in your publication:
+This research has made use of spectroscopic and collisional data from the EMAA database (https://emaa.osug.fr). EMAA is supported by the Observatoire des Sciences de l'Univers de Grenoble (OSUG),Creative Commons Attribution 4.0 International,Data access and use are ruled by the EMAA data policy.",18 rotation energy levels / 17 radiative transitions / 153 collisional transitions for para-H2 (12 temperatures in the range 5-500K) / 153 collisional transitions for ortho-H2 (12 temperatures in the range 5-500K) / 36 collisional transitions for electron (10 temperatures in the range 10-1000K),mds,True,findable,0,0,0,0,0,2022-02-07T11:25:01.000Z,2022-02-07T11:25:02.000Z,inist.osug,jbru,"target HNC,excitationType Rotation,collisional excitation,collider.0 para-H2,collider.1 ortho-H2,collider.2 electron,astrophysics,interstellar medium,comets,circumstellar medium,gas,microwave spectroscopy,infrared spectroscopy,rotational excitation,rovibrational excitation,vibrational excitation,electronic excitation,collisional rate coefficients,fine structure,hyperfine structure","[{'subject': 'target HNC', 'subjectScheme': 'main'}, {'subject': 'excitationType Rotation', 'subjectScheme': 'main'}, {'subject': 'collisional excitation', 'subjectScheme': 'main'}, {'subject': 'collider.0 para-H2', 'subjectScheme': 'var'}, {'subject': 'collider.1 ortho-H2', 'subjectScheme': 'var'}, {'subject': 'collider.2 electron', 'subjectScheme': 'var'}, {'subject': 'astrophysics', 'subjectScheme': 'var'}, {'subject': 'interstellar medium', 'subjectScheme': 'var'}, {'subject': 'comets', 'subjectScheme': 'var'}, {'subject': 'circumstellar medium', 'subjectScheme': 'var'}, {'subject': 'gas', 'subjectScheme': 'var'}, {'subject': 'microwave spectroscopy', 'subjectScheme': 'var'}, {'subject': 'infrared spectroscopy', 'subjectScheme': 'var'}, {'subject': 'rotational excitation', 'subjectScheme': 'var'}, {'subject': 'rovibrational excitation', 'subjectScheme': 'var'}, {'subject': 'vibrational excitation', 'subjectScheme': 'var'}, {'subject': 'electronic excitation', 'subjectScheme': 'var'}, {'subject': 'collisional rate coefficients', 'subjectScheme': 'var'}, {'subject': 'fine structure', 'subjectScheme': 'var'}, {'subject': 'hyperfine structure', 'subjectScheme': 'var'}]",,['Radex']
+10.17178/amma-catch.ae.h2oflux_ncw,"Surface flux dataset (including meteorological data, radiative budget, surface energy, water vapor and carbon fluxes), over the Wankama watershed (1 km2), Niger","IRD, CNRS-INSU, OSUG, OMP, OREME",2005,en,Dataset,"Creative Commons Attribution 4.0 International,Data access and use are ruled by the AMMA-CATCH data policy.,For any publication using AMMA-CATCH data, authors are asked to:
Mandatory: cite the reference article and the DOI of the observatory
@@ -3911,17 +3930,4 @@ Mandatory: cite the reference article and the DOI of the observatory
Optional: cite the DOI of each dataset used.
-Co-authorship: depending on the contribution of the data to the scientific results obtained, the authors should either propose co-authorship to the data providers or at least acknowledge their contribution.",Documentation of climate components.,mds,True,findable,0,0,1,0,0,2018-03-16T15:36:54.000Z,2018-03-16T15:36:55.000Z,inist.osug,jbru,"Meteorology,Sahelian climate,Wind Speed,Soil Moisture/CS616 Period at depth 5 cm,Soil Moisture/CS616 Period at depth 5 cm (2),Soil Temperature at depth 10 cm,Relative Humidity,Standard Deviation of Wind Direction,Soil Temperature at depth 5 cm,Wind Direction,Air Temperature,Incoming Shortwave Radiation","[{'subject': 'Meteorology', 'subjectScheme': 'main'}, {'subject': 'Sahelian climate', 'subjectScheme': 'main'}, {'subject': 'Wind Speed', 'subjectScheme': 'var'}, {'subject': 'Soil Moisture/CS616 Period at depth 5 cm', 'subjectScheme': 'var'}, {'subject': 'Soil Moisture/CS616 Period at depth 5 cm (2)', 'subjectScheme': 'var'}, {'subject': 'Soil Temperature at depth 10 cm', 'subjectScheme': 'var'}, {'subject': 'Relative Humidity', 'subjectScheme': 'var'}, {'subject': 'Standard Deviation of Wind Direction', 'subjectScheme': 'var'}, {'subject': 'Soil Temperature at depth 5 cm', 'subjectScheme': 'var'}, {'subject': 'Wind Direction', 'subjectScheme': 'var'}, {'subject': 'Air Temperature', 'subjectScheme': 'var'}, {'subject': 'Incoming Shortwave Radiation', 'subjectScheme': 'var'}]",,"['CSV', 'NETCDF', 'O&M 1.0']"
-10.17178/emaa_ortho-nh3_rotation-hot_2c68197a,Rotation-hot excitation of ortho-NH3 by ortho-H2 and para-H2 collisions,"UGA, CNRS, CNRS-INSU, OSUG",2023,en,Dataset,"Please acknowledge the use of EMAA Database by citing the original articles in which the data were published (BibTeX format available), and adding the following sentence in your publication:
-This research has made use of spectroscopic and collisional data from the EMAA database (https://emaa.osug.fr). EMAA is supported by the Observatoire des Sciences de l'Univers de Grenoble (OSUG),Creative Commons Attribution 4.0 International,Data access and use are ruled by the EMAA data policy.",33 rotation-hot energy levels / 68 radiative transitions / 528 collisional transitions for ortho-H2 (5 temperatures in the range 100-500K) / 528 collisional transitions for para-H2 (5 temperatures in the range 100-500K),mds,True,findable,0,0,0,0,0,2023-12-07T15:51:59.000Z,2023-12-07T15:52:00.000Z,inist.osug,jbru,"target ortho-NH3,excitationType Rotation-hot,collisional excitation,collider.0 ortho-H2,collider.1 para-H2,astrophysics,interstellar medium,comets,circumstellar medium,gas,microwave spectroscopy,infrared spectroscopy,rotational excitation,rovibrational excitation,vibrational excitation,electronic excitation,collisional rate coefficients,fine structure,hyperfine structure","[{'subject': 'target ortho-NH3', 'subjectScheme': 'main'}, {'subject': 'excitationType Rotation-hot', 'subjectScheme': 'main'}, {'subject': 'collisional excitation', 'subjectScheme': 'main'}, {'subject': 'collider.0 ortho-H2', 'subjectScheme': 'var'}, {'subject': 'collider.1 para-H2', 'subjectScheme': 'var'}, {'subject': 'astrophysics', 'subjectScheme': 'var'}, {'subject': 'interstellar medium', 'subjectScheme': 'var'}, {'subject': 'comets', 'subjectScheme': 'var'}, {'subject': 'circumstellar medium', 'subjectScheme': 'var'}, {'subject': 'gas', 'subjectScheme': 'var'}, {'subject': 'microwave spectroscopy', 'subjectScheme': 'var'}, {'subject': 'infrared spectroscopy', 'subjectScheme': 'var'}, {'subject': 'rotational excitation', 'subjectScheme': 'var'}, {'subject': 'rovibrational excitation', 'subjectScheme': 'var'}, {'subject': 'vibrational excitation', 'subjectScheme': 'var'}, {'subject': 'electronic excitation', 'subjectScheme': 'var'}, {'subject': 'collisional rate coefficients', 'subjectScheme': 'var'}, {'subject': 'fine structure', 'subjectScheme': 'var'}, {'subject': 'hyperfine structure', 'subjectScheme': 'var'}]",,['Radex']
-10.17178/67b5a1d5-8c8c-4a94-a646-1cca1d0adf79,Theia/OZCAR thesaurus,"IRD, INRAE, CNRS-INSU, OSUG",2018,en,Service,"Creative Commons Attribution 4.0 International,When using this thesaurus, you must cite the present DOI and add this acknowledgement sentence: ""The Theia/OZCAR thesaurus was jointly developped by the Theia pole (https://www.theia-land.fr/) and the OZCAR Research Infrastructure (https://www.ozcar-ri.org/)"" ","The French critical zone research infrastructure, OZCAR-RI, brings together observatories sampling different compartments of the critical zone, each of which has developed its own data management and dissemination systems. A common information system (Theia/OZCAR IS) has been built with the France Theia data pole to make these in situ data sets FAIR (findable, accessible, interoperable, reusable). A controlled vocabulary has been defined for categories and variable names. It allows searching with simplified and harmonized variable names, while guaranteeing as fine a precision as necessary using the I-ADOPT framework (https://i-adopt.github.io/index-en.html). All the concepts used in the thesaurus (name, category, constraint, etc.) are defined and linked to the main international thesaurus in the field of the environment (GCMD, EnvThes, AGROVOC, GEMET, AnaEE, UNESCO, LUSTRE, GACS, SANDRE) by semantic links (exact, close, related).",mds,True,findable,0,0,0,0,0,2022-07-13T13:11:09.000Z,2022-07-13T13:11:10.000Z,inist.osug,jbru,"Environmental Sciences,Critical zone,Continental surfaces,Machine-interoperable vocabulary,Semantic interoperability","[{'subject': 'Environmental Sciences', 'subjectScheme': 'main'}, {'subject': 'Critical zone', 'subjectScheme': 'main'}, {'subject': 'Continental surfaces', 'subjectScheme': 'main'}, {'subject': 'Machine-interoperable vocabulary', 'subjectScheme': 'main'}, {'subject': 'Semantic interoperability', 'subjectScheme': 'main'}]",,['SKOS']
-10.17178/ohmcv.lim.cla.12-14.1,"limnimeter network, Gazel and Claduègne catchments",CNRS - OSUG - OREME,2012,en,Dataset,"Data access and use are ruled by the OHMCV data policy.,The following acknowledging sentence should appear in publications using OHMCV data and products: ""OHMCV is funded by the Institut National des Sciences de l’Univers (INSU/CNRS) and the Observatoire des Sciences de l’Univers de Grenoble (OSUG / Université Grenoble Alpes)â€.",This dataset is part of the Cevennesâ€Vivarais Mediterranean Hydrometeorological Observatory (OHMCV),mds,True,findable,0,0,1,0,0,2017-03-10T17:09:27.000Z,2017-03-10T17:09:27.000Z,inist.osug,jbru,"Atmospheric conditions,Atmospheric Pressure Measurements,Water Depth,Conductivity,Stage Height,Water Pressure,Water Temperature,Air Temperature,WATER LEVEL GAUGES,CTD > Conductivity, Temperature, Depth,PRESSURE SENSORS,Ground networks","[{'subject': 'Atmospheric conditions', 'subjectScheme': 'main'}, {'subject': 'Atmospheric Pressure Measurements', 'subjectScheme': 'main'}, {'subject': 'Water Depth', 'subjectScheme': 'main'}, {'subject': 'Conductivity', 'subjectScheme': 'main'}, {'subject': 'Stage Height', 'subjectScheme': 'main'}, {'subject': 'Water Pressure', 'subjectScheme': 'main'}, {'subject': 'Water Temperature', 'subjectScheme': 'main'}, {'subject': 'Air Temperature', 'subjectScheme': 'main'}, {'subject': 'WATER LEVEL GAUGES', 'subjectScheme': 'main'}, {'subject': 'CTD > Conductivity, Temperature, Depth', 'subjectScheme': 'main'}, {'subject': 'PRESSURE SENSORS', 'subjectScheme': 'main'}, {'subject': 'Ground networks', 'subjectScheme': 'main'}]",,"['CSV', 'ESRI Grid', 'NETCDF']"
-10.17178/cryobsclim.cdp.2018.solarmask,"Col de Porte, Solar Mask",CNRS - OSUG - Meteo France,1998,en,Dataset,"Data access and use are ruled by the CRYOBS-CLIM data policy.,Always quote below citation to Lejeune et al. (2019) when using data.
- Lejeune, Y., Dumont, M., Panel J.-M., Lafaysse, M., Lapalus, P., Le Gac, E., Lesaffre, B. and Morin, S., 57 years (1960-2017) of snow and meteorological observations from a mid-altitude mountain site (Col de Porte, France, 1325 m alt.), Earth System Science Data, 11(2019), 71-88, https://doi.org/10.5194/essd-11-71-2019. The following acknowledging sentence should appear in publications using Cryobs-Clim-CDP data and products: ""Cryobs-Clim Col de Porte is funded by Meteo France, the Institut National des Sciences de l’Univers (INSU/CNRS), and the Observatoire des Sciences de l’Univers de Grenoble (OSUG / Université Grenoble Alpes)â€. You are invited to contact the PI(s) or lead scientist for more information about the data and to include the acknowledgement sentence in any publication using the data.","This dataset is part of the Cryobs-Clim-CDP (CRYosphere, an OBServatory of the CLIMate – Col de Porte) observatory",mds,True,findable,0,0,1,0,0,2018-07-19T07:26:39.000Z,2018-07-19T07:28:08.000Z,inist.osug,jbru,Solar Mask,"[{'subject': 'Solar Mask', 'subjectScheme': 'main'}]",,['CSV']
-10.17178/emaa_hds_rotation_d3b568cc,Rotation excitation of HDS by ortho-H2 and para-H2 collisions,"UGA, CNRS, CNRS-INSU, OSUG",2022,en,Dataset,"Please acknowledge the use of EMAA Database by citing the original articles in which the data were published (BibTeX format available), and adding the following sentence in your publication:
-This research has made use of spectroscopic and collisional data from the EMAA database (https://emaa.osug.fr). EMAA is supported by the Observatoire des Sciences de l'Univers de Grenoble (OSUG),Creative Commons Attribution 4.0 International,Data access and use are ruled by the EMAA data policy.",36 rotation energy levels / 155 radiative transitions / 630 collisional transitions for ortho-H2 (11 temperatures in the range 5-400K) / 630 collisional transitions for para-H2 (11 temperatures in the range 5-400K),mds,True,findable,0,0,0,0,0,2023-12-07T15:51:14.000Z,2023-12-07T15:51:14.000Z,inist.osug,jbru,"target HDS,excitationType Rotation,collisional excitation,collider.0 ortho-H2,collider.1 para-H2,astrophysics,interstellar medium,comets,circumstellar medium,gas,microwave spectroscopy,infrared spectroscopy,rotational excitation,rovibrational excitation,vibrational excitation,electronic excitation,collisional rate coefficients,fine structure,hyperfine structure","[{'subject': 'target HDS', 'subjectScheme': 'main'}, {'subject': 'excitationType Rotation', 'subjectScheme': 'main'}, {'subject': 'collisional excitation', 'subjectScheme': 'main'}, {'subject': 'collider.0 ortho-H2', 'subjectScheme': 'var'}, {'subject': 'collider.1 para-H2', 'subjectScheme': 'var'}, {'subject': 'astrophysics', 'subjectScheme': 'var'}, {'subject': 'interstellar medium', 'subjectScheme': 'var'}, {'subject': 'comets', 'subjectScheme': 'var'}, {'subject': 'circumstellar medium', 'subjectScheme': 'var'}, {'subject': 'gas', 'subjectScheme': 'var'}, {'subject': 'microwave spectroscopy', 'subjectScheme': 'var'}, {'subject': 'infrared spectroscopy', 'subjectScheme': 'var'}, {'subject': 'rotational excitation', 'subjectScheme': 'var'}, {'subject': 'rovibrational excitation', 'subjectScheme': 'var'}, {'subject': 'vibrational excitation', 'subjectScheme': 'var'}, {'subject': 'electronic excitation', 'subjectScheme': 'var'}, {'subject': 'collisional rate coefficients', 'subjectScheme': 'var'}, {'subject': 'fine structure', 'subjectScheme': 'var'}, {'subject': 'hyperfine structure', 'subjectScheme': 'var'}]",,['Radex']
-10.17178/emaa_h2_rovibration_5e046bb5,Rovibration excitation of H2 by H and H+ collisions,"UGA, CNRS, CNRS-INSU, OSUG",2021,en,Dataset,"Please acknowledge the use of EMAA Database by citing the original articles in which the data were published (BibTeX format available), and adding the following sentence in your publication:
-This research has made use of spectroscopic and collisional data from the EMAA database (https://emaa.osug.fr). EMAA is supported by the Observatoire des Sciences de l'Univers de Grenoble (OSUG),Creative Commons Attribution 4.0 International,Data access and use are ruled by the EMAA data policy.",54 rovibration energy levels / 226 radiative transitions / 1431 collisional transitions for H (50 temperatures in the range 100-5000K) / 325 collisional transitions for H+ (26 temperatures in the range 5-3000K),mds,True,findable,0,0,0,0,0,2021-11-17T14:00:53.000Z,2021-11-17T14:00:55.000Z,inist.osug,jbru,"target H2,excitationType Rovibration,collisional excitation,collider.0 H,collider.1 H+,astrophysics,interstellar medium,comets,circumstellar medium,gas,microwave spectroscopy,infrared spectroscopy,rotational excitation,rovibrational excitation,vibrational excitation,electronic excitation,collisional rate coefficients,fine structure,hyperfine structure","[{'subject': 'target H2', 'subjectScheme': 'main'}, {'subject': 'excitationType Rovibration', 'subjectScheme': 'main'}, {'subject': 'collisional excitation', 'subjectScheme': 'main'}, {'subject': 'collider.0 H', 'subjectScheme': 'var'}, {'subject': 'collider.1 H+', 'subjectScheme': 'var'}, {'subject': 'astrophysics', 'subjectScheme': 'var'}, {'subject': 'interstellar medium', 'subjectScheme': 'var'}, {'subject': 'comets', 'subjectScheme': 'var'}, {'subject': 'circumstellar medium', 'subjectScheme': 'var'}, {'subject': 'gas', 'subjectScheme': 'var'}, {'subject': 'microwave spectroscopy', 'subjectScheme': 'var'}, {'subject': 'infrared spectroscopy', 'subjectScheme': 'var'}, {'subject': 'rotational excitation', 'subjectScheme': 'var'}, {'subject': 'rovibrational excitation', 'subjectScheme': 'var'}, {'subject': 'vibrational excitation', 'subjectScheme': 'var'}, {'subject': 'electronic excitation', 'subjectScheme': 'var'}, {'subject': 'collisional rate coefficients', 'subjectScheme': 'var'}, {'subject': 'fine structure', 'subjectScheme': 'var'}, {'subject': 'hyperfine structure', 'subjectScheme': 'var'}]",,['Radex']
-10.17178/emaa_sio_rotation_424f5a89,"Rotation excitation of SiO by electron, ortho-H2 and para-H2 collisions","UGA, CNRS, CNRS-INSU, OSUG",2021,en,Dataset,"Please acknowledge the use of EMAA Database by citing the original articles in which the data were published (BibTeX format available), and adding the following sentence in your publication:
-This research has made use of spectroscopic and collisional data from the EMAA database (https://emaa.osug.fr). EMAA is supported by the Observatoire des Sciences de l'Univers de Grenoble (OSUG),Creative Commons Attribution 4.0 International,Data access and use are ruled by the EMAA data policy.",41 rotation energy levels / 40 radiative transitions / 210 collisional transitions for para-H2 (17 temperatures in the range 5-300K) / 210 collisional transitions for ortho-H2 (17 temperatures in the range 5-300K) / 292 collisional transitions for electron (11 temperatures in the range 10-2000K),mds,True,findable,0,0,0,0,0,2022-02-07T11:26:25.000Z,2022-02-07T11:26:26.000Z,inist.osug,jbru,"target SiO,excitationType Rotation,collisional excitation,collider.0 para-H2,collider.1 ortho-H2,collider.2 electron,astrophysics,interstellar medium,comets,circumstellar medium,gas,microwave spectroscopy,infrared spectroscopy,rotational excitation,rovibrational excitation,vibrational excitation,electronic excitation,collisional rate coefficients,fine structure,hyperfine structure","[{'subject': 'target SiO', 'subjectScheme': 'main'}, {'subject': 'excitationType Rotation', 'subjectScheme': 'main'}, {'subject': 'collisional excitation', 'subjectScheme': 'main'}, {'subject': 'collider.0 para-H2', 'subjectScheme': 'var'}, {'subject': 'collider.1 ortho-H2', 'subjectScheme': 'var'}, {'subject': 'collider.2 electron', 'subjectScheme': 'var'}, {'subject': 'astrophysics', 'subjectScheme': 'var'}, {'subject': 'interstellar medium', 'subjectScheme': 'var'}, {'subject': 'comets', 'subjectScheme': 'var'}, {'subject': 'circumstellar medium', 'subjectScheme': 'var'}, {'subject': 'gas', 'subjectScheme': 'var'}, {'subject': 'microwave spectroscopy', 'subjectScheme': 'var'}, {'subject': 'infrared spectroscopy', 'subjectScheme': 'var'}, {'subject': 'rotational excitation', 'subjectScheme': 'var'}, {'subject': 'rovibrational excitation', 'subjectScheme': 'var'}, {'subject': 'vibrational excitation', 'subjectScheme': 'var'}, {'subject': 'electronic excitation', 'subjectScheme': 'var'}, {'subject': 'collisional rate coefficients', 'subjectScheme': 'var'}, {'subject': 'fine structure', 'subjectScheme': 'var'}, {'subject': 'hyperfine structure', 'subjectScheme': 'var'}]",,['Radex']
-10.17178/ohmcv.dsd.sef.12-16.1,"DSD network, Saint-Etienne-de-Fontbellon",CNRS - OSUG - OREME,2012,en,Dataset,"Data access and use are ruled by the OHMCV data policy.,The following acknowledging sentence should appear in publications using OHMCV data and products: ""OHMCV is funded by the Institut National des Sciences de l’Univers (INSU/CNRS) and the Observatoire des Sciences de l’Univers de Grenoble (OSUG / Université Grenoble Alpes)â€.",This dataset is part of the Cevennesâ€Vivarais Mediterranean Hydrometeorological Observatory (OHMCV),mds,True,findable,0,0,2,0,0,2017-10-17T13:24:19.000Z,2017-10-17T13:24:19.000Z,inist.osug,jbru,"Atmospheric conditions,Precipitation Rate,Droplet Size,DISDROMETERS,Ground networks,Hydrometeorological sites,Fixed Observation Stations","[{'subject': 'Atmospheric conditions', 'subjectScheme': 'main'}, {'subject': 'Precipitation Rate', 'subjectScheme': 'main'}, {'subject': 'Droplet Size', 'subjectScheme': 'main'}, {'subject': 'DISDROMETERS', 'subjectScheme': 'main'}, {'subject': 'Ground networks', 'subjectScheme': 'main'}, {'subject': 'Hydrometeorological sites', 'subjectScheme': 'main'}, {'subject': 'Fixed Observation Stations', 'subjectScheme': 'main'}]",,['NETCDF']
+Co-authorship: depending on the contribution of the data to the scientific results obtained, the authors should either propose co-authorship to the data providers or at least acknowledge their contribution.",Measure components of the local-scale energy budget. Obtain forcing and validation data for modeling of soil-vegetation-atmosphere exchanges in Sahel. Contribute to the flux station network over the AMMA regional transect.,mds,True,findable,0,0,1,0,0,2018-03-16T15:36:51.000Z,2018-03-16T15:36:51.000Z,inist.osug,jbru,"Land surface exchange, water budget, energy budget, sahelian vegetation, evapo-transpiration, sahelian hydrology,Sahelian climate,Wind Speed,Soil Moisture/CS650 Period at depth 10 cm (loc. b),Soil Temperature at depth 10 cm,Standard Deviation of Wind Direction (2),Soil Moisture/CS616 Period at depth 50 cm (loc. b),Soil Moisture/CS616 Period at depth 1 m (loc. b),Sensible Heat Flux,Wind Speed (2),Precipitation Amount (previous 30 minutes),Soil Heat Flux at depth 5 cm,Soil Moisture/CS616 Period at depth 1.5 m (loc. b),Soil Moisture/Water Content at depth 10 cm (loc. b),Wind Direction (2),Soil Moisture/CS616 Period at depth 2.5 m,Precipitation Rate,Soil Temperature at depth 50 cm,Precipitation Amount (since January 1),Soil Moisture/CS616 Period at depth 2 m (loc. b),Soil Moisture/CS616 Period at depth 2.5 m (loc. b),Relative Humidity,Soil Temperature at depth 2.5 m,Soil Moisture/Water Content at depth 1 m (loc. b),Soil Moisture/CS650 Period at depth 2 m (loc. b),Soil Moisture/CS616 Period at depth 1 m,Soil Moisture/CS616 Period at depth 10 cm,Outgoing Longwave Radiation,Carbon Dioxide Flux,Soil Moisture/CS650 Period at depth 2.5 m (loc. b),Soil Temperature at depth 1.5 m,Carbon Dioxide Mean Concentration,Incoming Shortwave Radiation,Soil Heat Flux at depth 5 cm (3),Soil Temperature at depth 50 cm (loc. b),Soil Moisture/Water Content at depth 1.5 m (loc. b),Soil Moisture/Water Content at depth 2.5 m (loc. b),Soil Temperature at depth 1 m (loc. b),Wind Direction,Soil Moisture/Water Content at depth 50 cm (loc. b),Soil Moisture/CS650 Period at depth 1.5 m (loc. b),Soil Temperature at depth 1.5 m (loc. b),Latent Heat Flux,Soil Moisture/CS616 Period at depth 10 cm (loc. b),Soil Temperature at depth 2 m,Air Temperature,Soil Moisture/CS616 Period at depth 1.5 m,Soil Moisture/CS616 Period at depth 2 m,Soil Temperature at depth 2.5 m (loc. b),Soil Temperature at depth 1 m,Soil Temperature at depth 2 m (loc. b),Standard Deviation of Wind Direction,Soil Moisture/CS650 Period at depth 50 cm (loc. b),Soil Moisture/CS616 Period at depth 50 cm,Soil Moisture/Water Content at depth 2 m (loc. b),Soil Temperature at depth 10 cm (loc. b),Outgoing Shortwave Radiation,Precipitation Amount (since last tip),Soil Moisture/CS650 Period at depth 1 m (loc. b),Soil Heat Flux at depth 5 cm (2),Incoming Longwave Radiation","[{'subject': 'Land surface exchange, water budget, energy budget, sahelian vegetation, evapo-transpiration, sahelian hydrology', 'subjectScheme': 'main'}, {'subject': 'Sahelian climate', 'subjectScheme': 'main'}, {'subject': 'Wind Speed', 'subjectScheme': 'var'}, {'subject': 'Soil Moisture/CS650 Period at depth 10 cm (loc. b)', 'subjectScheme': 'var'}, {'subject': 'Soil Temperature at depth 10 cm', 'subjectScheme': 'var'}, {'subject': 'Standard Deviation of Wind Direction (2)', 'subjectScheme': 'var'}, {'subject': 'Soil Moisture/CS616 Period at depth 50 cm (loc. b)', 'subjectScheme': 'var'}, {'subject': 'Soil Moisture/CS616 Period at depth 1 m (loc. b)', 'subjectScheme': 'var'}, {'subject': 'Sensible Heat Flux', 'subjectScheme': 'var'}, {'subject': 'Wind Speed (2)', 'subjectScheme': 'var'}, {'subject': 'Precipitation Amount (previous 30 minutes)', 'subjectScheme': 'var'}, {'subject': 'Soil Heat Flux at depth 5 cm', 'subjectScheme': 'var'}, {'subject': 'Soil Moisture/CS616 Period at depth 1.5 m (loc. b)', 'subjectScheme': 'var'}, {'subject': 'Soil Moisture/Water Content at depth 10 cm (loc. b)', 'subjectScheme': 'var'}, {'subject': 'Wind Direction (2)', 'subjectScheme': 'var'}, {'subject': 'Soil Moisture/CS616 Period at depth 2.5 m', 'subjectScheme': 'var'}, {'subject': 'Precipitation Rate', 'subjectScheme': 'var'}, {'subject': 'Soil Temperature at depth 50 cm', 'subjectScheme': 'var'}, {'subject': 'Precipitation Amount (since January 1)', 'subjectScheme': 'var'}, {'subject': 'Soil Moisture/CS616 Period at depth 2 m (loc. b)', 'subjectScheme': 'var'}, {'subject': 'Soil Moisture/CS616 Period at depth 2.5 m (loc. b)', 'subjectScheme': 'var'}, {'subject': 'Relative Humidity', 'subjectScheme': 'var'}, {'subject': 'Soil Temperature at depth 2.5 m', 'subjectScheme': 'var'}, {'subject': 'Soil Moisture/Water Content at depth 1 m (loc. b)', 'subjectScheme': 'var'}, {'subject': 'Soil Moisture/CS650 Period at depth 2 m (loc. b)', 'subjectScheme': 'var'}, {'subject': 'Soil Moisture/CS616 Period at depth 1 m', 'subjectScheme': 'var'}, {'subject': 'Soil Moisture/CS616 Period at depth 10 cm', 'subjectScheme': 'var'}, {'subject': 'Outgoing Longwave Radiation', 'subjectScheme': 'var'}, {'subject': 'Carbon Dioxide Flux', 'subjectScheme': 'var'}, {'subject': 'Soil Moisture/CS650 Period at depth 2.5 m (loc. b)', 'subjectScheme': 'var'}, {'subject': 'Soil Temperature at depth 1.5 m', 'subjectScheme': 'var'}, {'subject': 'Carbon Dioxide Mean Concentration', 'subjectScheme': 'var'}, {'subject': 'Incoming Shortwave Radiation', 'subjectScheme': 'var'}, {'subject': 'Soil Heat Flux at depth 5 cm (3)', 'subjectScheme': 'var'}, {'subject': 'Soil Temperature at depth 50 cm (loc. b)', 'subjectScheme': 'var'}, {'subject': 'Soil Moisture/Water Content at depth 1.5 m (loc. b)', 'subjectScheme': 'var'}, {'subject': 'Soil Moisture/Water Content at depth 2.5 m (loc. b)', 'subjectScheme': 'var'}, {'subject': 'Soil Temperature at depth 1 m (loc. b)', 'subjectScheme': 'var'}, {'subject': 'Wind Direction', 'subjectScheme': 'var'}, {'subject': 'Soil Moisture/Water Content at depth 50 cm (loc. b)', 'subjectScheme': 'var'}, {'subject': 'Soil Moisture/CS650 Period at depth 1.5 m (loc. b)', 'subjectScheme': 'var'}, {'subject': 'Soil Temperature at depth 1.5 m (loc. b)', 'subjectScheme': 'var'}, {'subject': 'Latent Heat Flux', 'subjectScheme': 'var'}, {'subject': 'Soil Moisture/CS616 Period at depth 10 cm (loc. b)', 'subjectScheme': 'var'}, {'subject': 'Soil Temperature at depth 2 m', 'subjectScheme': 'var'}, {'subject': 'Air Temperature', 'subjectScheme': 'var'}, {'subject': 'Soil Moisture/CS616 Period at depth 1.5 m', 'subjectScheme': 'var'}, {'subject': 'Soil Moisture/CS616 Period at depth 2 m', 'subjectScheme': 'var'}, {'subject': 'Soil Temperature at depth 2.5 m (loc. b)', 'subjectScheme': 'var'}, {'subject': 'Soil Temperature at depth 1 m', 'subjectScheme': 'var'}, {'subject': 'Soil Temperature at depth 2 m (loc. b)', 'subjectScheme': 'var'}, {'subject': 'Standard Deviation of Wind Direction', 'subjectScheme': 'var'}, {'subject': 'Soil Moisture/CS650 Period at depth 50 cm (loc. b)', 'subjectScheme': 'var'}, {'subject': 'Soil Moisture/CS616 Period at depth 50 cm', 'subjectScheme': 'var'}, {'subject': 'Soil Moisture/Water Content at depth 2 m (loc. b)', 'subjectScheme': 'var'}, {'subject': 'Soil Temperature at depth 10 cm (loc. b)', 'subjectScheme': 'var'}, {'subject': 'Outgoing Shortwave Radiation', 'subjectScheme': 'var'}, {'subject': 'Precipitation Amount (since last tip)', 'subjectScheme': 'var'}, {'subject': 'Soil Moisture/CS650 Period at depth 1 m (loc. b)', 'subjectScheme': 'var'}, {'subject': 'Soil Heat Flux at depth 5 cm (2)', 'subjectScheme': 'var'}, {'subject': 'Incoming Longwave Radiation', 'subjectScheme': 'var'}]",,"['CSV', 'NETCDF', 'O&M 1.0']"
--
GitLab