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Commit 1ac9938b authored by Elias Chetouane's avatar Elias Chetouane
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Execution du pipeline. Actualisation des dois et des graphes.

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    1-enrich-with-datacite/all_datacite_clients_for_uga.csv
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    client,count,name,year,url client,count,name,year,url
    cern.zenodo,781,Zenodo,2013,https://zenodo.org/ cern.zenodo,784,Zenodo,2013,https://zenodo.org/
    inist.sshade,496,Solid Spectroscopy Hosting Architecture of Databases and Expertise,2019,https://www.sshade.eu/ inist.sshade,496,Solid Spectroscopy Hosting Architecture of Databases and Expertise,2019,https://www.sshade.eu/
    figshare.ars,356,figshare Academic Research System,2016,http://figshare.com/ figshare.ars,359,figshare Academic Research System,2016,http://figshare.com/
    inist.osug,238,Observatoire des Sciences de l'Univers de Grenoble,2014,http://doi.osug.fr inist.osug,238,Observatoire des Sciences de l'Univers de Grenoble,2014,http://doi.osug.fr
    dryad.dryad,163,DRYAD,2018,https://datadryad.org dryad.dryad,163,DRYAD,2018,https://datadryad.org
    inist.resif,93,Réseau sismologique et géodésique français,2014,https://www.resif.fr/ inist.resif,93,Réseau sismologique et géodésique français,2014,https://www.resif.fr/
    inist.humanum,65,NAKALA,2020,https://nakala.fr inist.humanum,65,NAKALA,2020,https://nakala.fr
    rdg.prod,64,Recherche Data Gouv France,2022,https://recherche.data.gouv.fr/en rdg.prod,64,Recherche Data Gouv France,2022,https://recherche.data.gouv.fr/en
    inist.persyval,60,PERSYVAL-Lab : Pervasive Systems and Algorithms Lab,2016, inist.persyval,61,PERSYVAL-Lab : Pervasive Systems and Algorithms Lab,2016,
    fmsh.prod,28,Fondation Maison des sciences de l'homme,2023, fmsh.prod,28,Fondation Maison des sciences de l'homme,2023,
    mcdy.dohrmi,12,dggv-e-publications,2020,https://www.dggv.de/publikationen/dggv-e-publikationen.html mcdy.dohrmi,12,dggv-e-publications,2020,https://www.dggv.de/publikationen/dggv-e-publikationen.html
    figshare.sage,6,figshare SAGE Publications,2018, figshare.sage,6,figshare SAGE Publications,2018,
    ......
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    doi,client,resourceTypeGeneral,created,publisher,rights,sizes doi,client,resourceTypeGeneral,created,publisher,rights,sizes
    10.5281/zenodo.13996908,cern.zenodo,Dataset,2024-10-26,Zenodo,Creative Commons Attribution 4.0 International,
    10.5281/zenodo.13919736,cern.zenodo,ComputationalNotebook,2024-10-25,Zenodo,Creative Commons Attribution 4.0 International,
    10.6084/m9.figshare.c.7507882,figshare.ars,Collection,2024-10-24,figshare,Creative Commons Attribution 4.0 International,
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    10.18709/perscido.2024.10.ds414,inist.persyval,Dataset,2024-10-22,PerSCiDO,,['10 Mo']
    10.5281/zenodo.13961002,cern.zenodo,Dataset,2024-10-22,Zenodo,Creative Commons Attribution 4.0 International,
    10.5281/zenodo.13951667,cern.zenodo,Dataset,2024-10-18,Zenodo,Creative Commons Attribution 4.0 International, 10.5281/zenodo.13951667,cern.zenodo,Dataset,2024-10-18,Zenodo,Creative Commons Attribution 4.0 International,
    10.5281/zenodo.13940200,cern.zenodo,Software,2024-10-16,Zenodo,Creative Commons Attribution 4.0 International, 10.5281/zenodo.13940200,cern.zenodo,Software,2024-10-16,Zenodo,Creative Commons Attribution 4.0 International,
    10.5281/zenodo.13932813,cern.zenodo,Software,2024-10-15,Zenodo,Creative Commons Attribution 4.0 International, 10.5281/zenodo.13932813,cern.zenodo,Software,2024-10-15,Zenodo,Creative Commons Attribution 4.0 International,
    ...@@ -80,8 +87,8 @@ doi,client,resourceTypeGeneral,created,publisher,rights,sizes ...@@ -80,8 +87,8 @@ doi,client,resourceTypeGeneral,created,publisher,rights,sizes
    10.57760/sciencedb.11705,cnic.sciencedb,Dataset,2024-08-15,Science Data Bank,Creative Commons Attribution Non Commercial Share Alike 4.0 International,"['99398887984 bytes', '14 files']" 10.57760/sciencedb.11705,cnic.sciencedb,Dataset,2024-08-15,Science Data Bank,Creative Commons Attribution Non Commercial Share Alike 4.0 International,"['99398887984 bytes', '14 files']"
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    ...@@ -140,8 +147,8 @@ doi,client,resourceTypeGeneral,created,publisher,rights,sizes ...@@ -140,8 +147,8 @@ doi,client,resourceTypeGeneral,created,publisher,rights,sizes
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    10.6084/m9.figshare.26629135,figshare.ars,Text,2024-08-14,figshare,Creative Commons Attribution 4.0 International,['792543 Bytes']
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    ...@@ -155,10 +162,10 @@ doi,client,resourceTypeGeneral,created,publisher,rights,sizes ...@@ -155,10 +162,10 @@ doi,client,resourceTypeGeneral,created,publisher,rights,sizes
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    10.6084/m9.figshare.c.6596504,figshare.ars,Collection,2024-08-13,figshare,Creative Commons Attribution 4.0 International,
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    10.15778/resif.z42022,inist.resif,Dataset,2024-08-12,RESIF - Réseau Sismologique et géodésique Français,,"['98 stations, 280Go (miniseed format)']" 10.15778/resif.z42022,inist.resif,Dataset,2024-08-12,RESIF - Réseau Sismologique et géodésique Français,,"['98 stations, 280Go (miniseed format)']"
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    ...@@ -365,8 +372,8 @@ doi,client,resourceTypeGeneral,created,publisher,rights,sizes ...@@ -365,8 +372,8 @@ doi,client,resourceTypeGeneral,created,publisher,rights,sizes
    10.60527/aa32-v231,fmsh.prod,Audiovisual,2024-03-06,"Univ. Grenoble Alpes, GRESEC",Droit commun de la propriété intellectuelle, 10.60527/aa32-v231,fmsh.prod,Audiovisual,2024-03-06,"Univ. Grenoble Alpes, GRESEC",Droit commun de la propriété intellectuelle,
    10.60527/evrp-sc36,fmsh.prod,Audiovisual,2024-03-06,"Univ. Grenoble Alpes, GRESEC",Droit commun de la propriété intellectuelle, 10.60527/evrp-sc36,fmsh.prod,Audiovisual,2024-03-06,"Univ. Grenoble Alpes, GRESEC",Droit commun de la propriété intellectuelle,
    10.60527/t65m-5h40,fmsh.prod,Audiovisual,2024-03-06,"Univ. Grenoble Alpes, GRESEC",Droit commun de la propriété intellectuelle, 10.60527/t65m-5h40,fmsh.prod,Audiovisual,2024-03-06,"Univ. Grenoble Alpes, GRESEC",Droit commun de la propriété intellectuelle,
    10.60527/kr45-gv91,fmsh.prod,Audiovisual,2024-03-06,"Univ. Grenoble Alpes, GRESEC",Droit commun de la propriété intellectuelle,
    10.60527/nnhk-n811,fmsh.prod,Other,2024-03-06,"Univ. Grenoble Alpes, GRESEC",, 10.60527/nnhk-n811,fmsh.prod,Other,2024-03-06,"Univ. Grenoble Alpes, GRESEC",,
    10.60527/kr45-gv91,fmsh.prod,Audiovisual,2024-03-06,"Univ. Grenoble Alpes, GRESEC",Droit commun de la propriété intellectuelle,
    10.60527/kzta-f520,fmsh.prod,Audiovisual,2024-03-06,"Univ. Grenoble Alpes, GRESEC",Droit commun de la propriété intellectuelle, 10.60527/kzta-f520,fmsh.prod,Audiovisual,2024-03-06,"Univ. Grenoble Alpes, GRESEC",Droit commun de la propriété intellectuelle,
    10.60527/gx2t-a525,fmsh.prod,Audiovisual,2024-03-06,"Univ. Grenoble Alpes, GRESEC",Droit commun de la propriété intellectuelle, 10.60527/gx2t-a525,fmsh.prod,Audiovisual,2024-03-06,"Univ. Grenoble Alpes, GRESEC",Droit commun de la propriété intellectuelle,
    10.60527/67kz-8s19,fmsh.prod,Audiovisual,2024-03-06,"Univ. Grenoble Alpes, GRESEC",Droit commun de la propriété intellectuelle, 10.60527/67kz-8s19,fmsh.prod,Audiovisual,2024-03-06,"Univ. Grenoble Alpes, GRESEC",Droit commun de la propriété intellectuelle,
    ...@@ -379,8 +386,8 @@ doi,client,resourceTypeGeneral,created,publisher,rights,sizes ...@@ -379,8 +386,8 @@ doi,client,resourceTypeGeneral,created,publisher,rights,sizes
    10.60527/fpa9-1718,fmsh.prod,Other,2024-03-06,"Univ. Grenoble Alpes, GRESEC",, 10.60527/fpa9-1718,fmsh.prod,Other,2024-03-06,"Univ. Grenoble Alpes, GRESEC",,
    10.60527/zxn9-6b90,fmsh.prod,Audiovisual,2024-03-06,"Univ. Grenoble Alpes, GRESEC",Droit commun de la propriété intellectuelle, 10.60527/zxn9-6b90,fmsh.prod,Audiovisual,2024-03-06,"Univ. Grenoble Alpes, GRESEC",Droit commun de la propriété intellectuelle,
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    ...@@ -505,17 +512,3 @@ This research has made use of spectroscopic and collisional data from the EMAA d ...@@ -505,17 +512,3 @@ This research has made use of spectroscopic and collisional data from the EMAA d
    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.", 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.",
    10.17178/emaa_ortho-h2co_hyperfine_21889b23,inist.osug,Dataset,2023-12-07,"UGA, CNRS, CNRS-INSU, OSUG","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: 10.17178/emaa_ortho-h2co_hyperfine_21889b23,inist.osug,Dataset,2023-12-07,"UGA, CNRS, CNRS-INSU, OSUG","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.", 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.",
    10.17178/emaa_ortho-h2(34s)_rotation_2f37d6f0,inist.osug,Dataset,2023-12-07,"UGA, CNRS, CNRS-INSU, OSUG","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.",
    10.17178/emaa_ortho-d2s_rotation_a6fd14e0,inist.osug,Dataset,2023-12-07,"UGA, CNRS, CNRS-INSU, OSUG","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.",
    10.17178/emaa_ortho-c3h2_rotation_caf26a12,inist.osug,Dataset,2023-12-07,"UGA, CNRS, CNRS-INSU, OSUG","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.",
    10.17178/emaa_ortho-(13c)c2h2_rotation_a4239764,inist.osug,Dataset,2023-12-07,"UGA, CNRS, CNRS-INSU, OSUG","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.",
    10.17178/emaa_oh_hyperfine_72d6c3c5,inist.osug,Dataset,2023-12-07,"UGA, CNRS, CNRS-INSU, OSUG","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.",
    10.17178/emaa_oh_fine_73f2c321,inist.osug,Dataset,2023-12-07,"UGA, CNRS, CNRS-INSU, OSUG","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.",
    10.17178/emaa_hds_rotation_d3b568cc,inist.osug,Dataset,2023-12-07,"UGA, CNRS, CNRS-INSU, OSUG","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.",
    dois-uga.csv
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    ...@@ -11166,3 +11166,82 @@ Vincent Segonne, Aidan Mannion, Laura Cristina Alonzo Canul, Alexandre Daniel Au ...@@ -11166,3 +11166,82 @@ Vincent Segonne, Aidan Mannion, Laura Cristina Alonzo Canul, Alexandre Daniel Au
    10.34847/nkl.edfej4yt,"Taciti et C. Velleii Paterculi scripta quae exstant; recognita, emaculata. Additique commentarii copiosissimi et notae non antea editae Paris e typographia Petri Chevalier, in monte diui Hilarii - II-0724",NAKALA - https://nakala.fr (Huma-Num - CNRS),2020,,Image,,,api,True,findable,0,0,0,0,0,2023-02-05T11:59:37.000Z,2023-02-05T11:59:37.000Z,inist.humanum,jbru,,,['53573614 Bytes'],['image/tiff'],,,, 10.34847/nkl.edfej4yt,"Taciti et C. Velleii Paterculi scripta quae exstant; recognita, emaculata. Additique commentarii copiosissimi et notae non antea editae Paris e typographia Petri Chevalier, in monte diui Hilarii - II-0724",NAKALA - https://nakala.fr (Huma-Num - CNRS),2020,,Image,,,api,True,findable,0,0,0,0,0,2023-02-05T11:59:37.000Z,2023-02-05T11:59:37.000Z,inist.humanum,jbru,,,['53573614 Bytes'],['image/tiff'],,,,
    10.5281/zenodo.13951667,Geophysical Signals from Magma Propagation: Experimental and Processed Data,Zenodo,2024,en,Dataset,Creative Commons Attribution 4.0 International,"This repository contains the experimental data analyzed and interpreted in the manuscript titled ""Geophysical signals induced by magma propagation: Insights from analog experiments"" by S. Furst, J. Vandemeulebrouck, and V. Pinel. It includes video recordings, timelapse photos, accelerometer data, and deformation data. Additionally, there are three MATLAB scripts for post-processing the timelapse photos following the approach described in the manuscript. The results of the MFP analysis on the accelerometer data, as well as the outcomes from the COMSOL Multiphysics simulations, are also included in the repository.",api,True,findable,0,0,0,0,0,2024-10-18T17:59:02.000Z,2024-10-18T17:59:03.000Z,cern.zenodo,cern,"analog experiment,dike propagation,seismic signal,surface deformation,signal attenuation","[{'subject': 'analog experiment'}, {'subject': 'dike propagation'}, {'subject': 'seismic signal'}, {'subject': 'surface deformation'}, {'subject': 'signal attenuation'}]",,,,,['HasVersion'],"[['IsVersionOf', '10.5281/zenodo.13951667']]" 10.5281/zenodo.13951667,Geophysical Signals from Magma Propagation: Experimental and Processed Data,Zenodo,2024,en,Dataset,Creative Commons Attribution 4.0 International,"This repository contains the experimental data analyzed and interpreted in the manuscript titled ""Geophysical signals induced by magma propagation: Insights from analog experiments"" by S. Furst, J. Vandemeulebrouck, and V. Pinel. It includes video recordings, timelapse photos, accelerometer data, and deformation data. Additionally, there are three MATLAB scripts for post-processing the timelapse photos following the approach described in the manuscript. The results of the MFP analysis on the accelerometer data, as well as the outcomes from the COMSOL Multiphysics simulations, are also included in the repository.",api,True,findable,0,0,0,0,0,2024-10-18T17:59:02.000Z,2024-10-18T17:59:03.000Z,cern.zenodo,cern,"analog experiment,dike propagation,seismic signal,surface deformation,signal attenuation","[{'subject': 'analog experiment'}, {'subject': 'dike propagation'}, {'subject': 'seismic signal'}, {'subject': 'surface deformation'}, {'subject': 'signal attenuation'}]",,,,,['HasVersion'],"[['IsVersionOf', '10.5281/zenodo.13951667']]"
    10.5281/zenodo.13940200,Rekyt/alientraitgaps: v.1.0 - submitted,Zenodo,2024,,Software,Creative Commons Attribution 4.0 International,":notebook: Code and data compendium for ""Gaps in global non-native plant trait data and how to move forward""",api,True,findable,0,0,0,0,0,2024-10-16T12:41:22.000Z,2024-10-16T12:41:23.000Z,cern.zenodo,cern,,,,,,,"['IsSupplementTo', 'HasVersion']","[['IsVersionOf', '10.5281/zenodo.13940200']]" 10.5281/zenodo.13940200,Rekyt/alientraitgaps: v.1.0 - submitted,Zenodo,2024,,Software,Creative Commons Attribution 4.0 International,":notebook: Code and data compendium for ""Gaps in global non-native plant trait data and how to move forward""",api,True,findable,0,0,0,0,0,2024-10-16T12:41:22.000Z,2024-10-16T12:41:23.000Z,cern.zenodo,cern,,,,,,,"['IsSupplementTo', 'HasVersion']","[['IsVersionOf', '10.5281/zenodo.13940200']]"
    10.6084/m9.figshare.27289279,Additional file 1 of Predictive value of tumor microenvironment on pathologic response to neoadjuvant chemotherapy in patients with undifferentiated pleomorphic sarcomas,figshare,2024,,Dataset,Creative Commons Attribution 4.0 International,Supplementary Material 1,mds,True,findable,0,0,0,1,0,2024-10-24T04:21:59.000Z,2024-10-24T04:22:01.000Z,figshare.ars,otjm,"Medicine,Genetics,FOS: Biological sciences,Pharmacology,Immunology,FOS: Clinical medicine,Biological Sciences not elsewhere classified,Cancer,Science Policy","[{'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': 'Pharmacology'}, {'subject': 'Immunology'}, {'subject': 'FOS: Clinical medicine', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Biological Sciences not elsewhere classified'}, {'subject': 'Cancer'}, {'subject': 'Science Policy'}]",['117985 Bytes'],,,,['IsSupplementTo'],
    10.5281/zenodo.13996908,Annotated Dataset for Named Entity Recognition and Relation Extraction in French Building Technical Specifications (BTS),Zenodo,2024,fr,Dataset,Creative Commons Attribution 4.0 International,"This dataset contains 233 raw requirements extracted from French Building Technical Specifications (BTS), referred to as ""Cahier des Clauses Techniques Particulières (CCTP)"", specifically focused on carpentry (""lot menuiserie"") in public French construction projects. The requirements have been collected from 72 CCTP documents, resulting in a total of 19,725 sentences and 651,948 words.
    The dataset has been annotated using Doccano for Named Entity Recognition (NER) and Relation Extraction (RE). The annotations involve identifying entities and the relationships between them within the domain of building requirements. This dataset is intended for research on Natural Language Processing (NLP) models for Requirements Engineering (RE) in the Architecture, Engineering, and Construction (AEC) sector. Potential applications include requirements extraction, compliance analysis, and knowledge management in construction.
    The dataset includes the following components:
    CCTP Documents: The original CCTP files from which the raw requirements were extracted.
    Annotated Dataset: A JSONLines file containing the annotated dataset, including labels for Named Entity Recognition (NER) and Relation Extraction (RE).
    Key features of the dataset:
    Language: French
    Number of requirements: 233
    Number of sentences: 19,725
    Number of words: 651,948
    Annotation tasks: Named Entity Recognition (NER) and Relation Extraction (RE)
    This dataset is relevant for NLP research focused on structured information extraction from domain-specific texts in the construction industry.",api,True,findable,0,0,0,0,0,2024-10-26T20:36:53.000Z,2024-10-26T20:36:53.000Z,cern.zenodo,cern,,,,,,,['HasVersion'],"[['IsVersionOf', '10.5281/zenodo.13996908']]"
    10.5281/zenodo.13961002,Artifact of the paper: Scheduling with lightweight predictions in power-constrained HPC platforms,Zenodo,2024,,Dataset,Creative Commons Attribution 4.0 International,"Please refer to the artifact-overview.pdf file in this dataset for instructions to reproduce the experiments we have conducted for this article, or for more context about the article.",api,True,findable,0,0,0,0,0,2024-10-22T12:40:35.000Z,2024-10-22T12:40:35.000Z,cern.zenodo,cern,,,,,,,['HasVersion'],"[['IsVersionOf', '10.5281/zenodo.13961002']]"
    10.6084/m9.figshare.c.7507882,Predictive value of tumor microenvironment on pathologic response to neoadjuvant chemotherapy in patients with undifferentiated pleomorphic sarcomas,figshare,2024,,Collection,Creative Commons Attribution 4.0 International,"Abstract Undifferentiated pleomorphic sarcomas (UPS) represent a prevalent and aggressive subtype of soft tissue sarcomas (STS) in adults. Despite advancements in loco regional treatments, many patients with high grade STS, including UPS, develop metastatic disease. Neoadjuvant chemotherapy is a standard approach to mitigate this risk, but response variability necessitates refined patient selection strategies. This study investigated the correlation between UPS microenvironment and neoadjuvant chemotherapy response in resectable UPS. The NEOSARCOMICS study (NCT02789384) enrolled patients with resectable STS from six sarcoma centers in France. Patients received anthracycline based chemotherapy, followed by surgery. Histological response, gene expression profiling, and multiplex immunohistofluorescence were performed on baseline and post treatment tumor samples. Plasma proteomics was analyzed to identify biomarkers. Good responders to neoadjuvant chemotherapy showed enrichment in genes related to stemness and cell cycle regulation, while poor responders exhibited immune related gene enrichment. Proteomic profiling revealed immune pathway activation and downregulation of cell cycle pathways in non responders. Despite being associated with a good prognosis, high immune infiltration, particularly of CD8 + T cells and CD20 + B cells, predicts a poor response to neoadjuvant chemotherapy in UPS, suggesting the need for alternative therapeutic strategies for patients with inflamed UPS.Ongoing clinical trials are exploring the efficacy of combining chemotherapy with immune checkpoint inhibitors to improve outcomes.",mds,True,findable,0,0,0,0,0,2024-10-24T04:22:04.000Z,2024-10-24T04:22:06.000Z,figshare.ars,otjm,"Medicine,Genetics,FOS: Biological sciences,Pharmacology,Immunology,FOS: Clinical medicine,Biological Sciences not elsewhere classified,Cancer,Science Policy","[{'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': 'Pharmacology'}, {'subject': 'Immunology'}, {'subject': 'FOS: Clinical medicine', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Biological Sciences not elsewhere classified'}, {'subject': 'Cancer'}, {'subject': 'Science Policy'}]",,,,,,
    10.5281/zenodo.13919736,Parametric LCA meta-model for Power Electronics,Zenodo,2024,en,ComputationalNotebook,Creative Commons Attribution 4.0 International,"The submitted notebook ""Parametric LCA meta-model for Power Electronics"" serves as an open-source Python template designed to facilitate the implementation of the Parametric Life Cycle Assessment (PLCA) meta-model for power electornics products, aimed at potential users like product ecodesigners in both research and industry. The code, developed using the Brightway library and the LCA Algebraic package, allows for the integration of control parameters with environmental impact results through algorithmic rules.
    Key Components:
    General PLCA Meta-Model for Power Electronics:The life cycle model is structured into various stages, with each stage linked to specific control parameters. The code implements equations that define the mathematical relationships between these parameters and environmental impacts, enabling calculations for each stage. An example of the Python implementation for the reuse stage of the life cycle is provided, demonstrating how the PLCA meta-model is applied in practice.
    Data Visualization Features:To help interpret Life Cycle Impact Assessment (LCIA) results, the template includes several data visualization tools. These tools allow users to visualize normalized environmental impact indicators, examine the distribution of impacts across life cycle stages, and explore how environmental impacts are allocated to technical blocks or components. Visual examples of these features are provided, illustrating how users can effectively analyze and present LCIA data.
    Ecodesign Scenario Development and Analysis:The template includes a script that allows users to develop and analyze ecodesign scenarios by adjusting control parameters. It also includes parameterization techniques to redefine these control parameters and data visualization features to assess how different scenarios impact environmental outcomes. Users can compare the environmental impacts across stages and between different ecodesign scenarios to aid decision-making.
    Case study of a DC-DC buck converter:
    The case study on the ecodesign of a DC-DC buck converter is structured across three Jupyter notebooks, illustrating the practical implementation of the provided Python template for Parametric Life Cycle Assessment (PLCA). Each notebook focuses on a distinct phase of the ecodesign process, from scenario development to sensitivity analysis and final design results. Below is a description of each notebook:
    PLCA_model_Buck_Converter_Ecodesign_scenarios:This notebook establishes the PLCA model for the reference product, the DC-DC buck converter. It explores five different ecodesign scenarios, each based on varying design parameters. For each scenario, the Life Cycle Impact Assessment (LCIA) results are calculated and visualized, enabling comparison with the baseline product. This visualization of the results highlights the environmental performance improvements of each scenario, aiding decision-making in the ecodesign process.
    PLCA_model_Buck_Converter_Sensitivity_analysis:Building upon the selected ecodesign scenario from the previous notebook (Combined Scenario A), this notebook conducts a sensitivity analysis. The variability in design parameters is characterized, and its influence on the overall LCIA results is evaluated. The One-At-a-Time (OAT) method is used to simulate how changes in individual parameters affect the environmental impacts, enabling target design parameters are most influential in reducing environmental impact.
    PLCA_model_Buck_Converter_Detail_design_result:In this final notebook, the detailed design results of the DC-DC buck converter are calculated. The LCIA results of the final design are assessed, concluding the case study by showing the overall environmental impact reduction achieved through the ecodesign process. This phase demonstrates the final implementation of the optimized design and quantifies its environmental benefits.",api,True,findable,0,0,0,0,1,2024-10-25T14:00:29.000Z,2024-10-25T14:00:29.000Z,cern.zenodo,cern,"Ecodesign,Power Electronics,Parametric Life Cycle Assessment","[{'subject': 'Ecodesign'}, {'subject': 'Power Electronics'}, {'subject': 'Parametric Life Cycle Assessment'}]",,,,,['HasVersion'],
    10.18709/perscido.2024.10.ds414,The Saint Eynard LoRaWAN frames dataset,PerSCiDO,2024,,Dataset,,"
    The dataset contains the log files of 79382 frames sent by two LoRaWAN endpoints installed on the top of [Fort du Saint Eynard](https://fr.wikipedia.org/wiki/Fort_du_Saint-Eynard). The time range is from 2023-06-23 to 2024-09-16 (~15 months)
    The exact location is [45.23513,5.7617](https://www.openstreetmap.org/search?query=45.23513%2C5.7617#map=19/45.23513/5.76170). The GPS altitude is 1350 meters.
    ",api,True,findable,0,0,0,0,0,2024-10-22T14:45:56.000Z,2024-10-22T14:45:57.000Z,inist.persyval,vcob,"Information Technology,Engineering","[{'subject': 'Information Technology', 'subjectScheme': 'http://www.radar-projekt.org/display/Information_Technology'}, {'subject': 'Engineering', 'subjectScheme': 'http://www.radar-projekt.org/display/Engineering'}]",['10 Mo'],['JSON'],,,,
    10.6084/m9.figshare.27289282,Additional file 2 of Predictive value of tumor microenvironment on pathologic response to neoadjuvant chemotherapy in patients with undifferentiated pleomorphic sarcomas,figshare,2024,,Text,Creative Commons Attribution 4.0 International,Supplementary Material 2,mds,True,findable,0,0,0,1,0,2024-10-24T04:22:01.000Z,2024-10-24T04:22:02.000Z,figshare.ars,otjm,"Medicine,Genetics,FOS: Biological sciences,Pharmacology,Immunology,FOS: Clinical medicine,Biological Sciences not elsewhere classified,Cancer,Science Policy","[{'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': 'Pharmacology'}, {'subject': 'Immunology'}, {'subject': 'FOS: Clinical medicine', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Biological Sciences not elsewhere classified'}, {'subject': 'Cancer'}, {'subject': 'Science Policy'}]",['783979 Bytes'],,,,"['IsIdenticalTo', 'IsSupplementTo']","[['IsIdenticalTo', '10.6084/m9.figshare.27289282']]"
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