Execution du pipeline. Actualisation des dois et des graphes.

1-enrich-with-datacite/all_datacite_clients_for_uga.csv

 client,count,name,year,url
-cern.zenodo,763,Zenodo,2013,https://zenodo.org/
+cern.zenodo,769,Zenodo,2013,https://zenodo.org/
 inist.sshade,474,Solid Spectroscopy Hosting Architecture of Databases and Expertise,2019,https://www.sshade.eu/
 figshare.ars,255,figshare Academic Research System,2016,http://figshare.com/
 inist.osug,238,Observatoire des Sciences de l'Univers de Grenoble,2014,http://doi.osug.fr
@@ -11,8 +11,8 @@ inist.humanum,28,Huma-Num,2020,https://nakala.fr
 fmsh.prod,28,Fondation Maison des sciences de l'homme,2023,
 figshare.sage,14,figshare SAGE Publications,2018,
 mcdy.dohrmi,12,dggv-e-publications,2020,https://www.dggv.de/publikationen/dggv-e-publikationen.html
+iris.iris,4,Incorporated Research Institutions for Seismology,2018,http://www.iris.edu/hq/
 tib.repod,3,RepOD,2015,
-iris.iris,3,Incorporated Research Institutions for Seismology,2018,http://www.iris.edu/hq/
 vqpf.dris,3,Direction des ressources et de l'information scientifique,2021,
 tib.gfzbib,3,GFZpublic,2011,https://gfzpublic.gfz-potsdam.de
 ugraz.unipub,2,unipub,2019,http://unipub.uni-graz.at

1-enrich-with-datacite/nb-dois.txt

-2181
\ No newline at end of file
+2188
\ No newline at end of file

dois-uga.csv

@@ -7527,3 +7527,137 @@ best_val_loss_model_pp/h_article.h5 = best model after NN training
 patterns_rebuilt_S157.pickle = XRD patterns rebuilt from predictions",api,True,findable,0,0,0,0,0,2024-04-11T07:31:59.000Z,2024-04-11T07:32:00.000Z,cern.zenodo,cern,,,,
 10.26302/sshade/experiment_zed_20230103_01,MIR spectra of phyllosilicate pellets irradiated by He+ and Ar+ ions,SSHADE/DAYSY (OSUG Data Center),2024,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.",MIR spectra of phyllosilicate pellets irradiated by $Ar^+$ or $He^+$.,mds,True,findable,0,0,2,0,0,2024-04-10T15:36:00.000Z,2024-04-10T15:36:01.000Z,inist.sshade,mgeg,"laboratory measurement,confocal reflection,micro-imaging,MIR,Mid-Infrared,reflectance factor,Serpentine Rawhide,Serpentine UB-N,Saponite Griffithite,mineral,natural terrestrial,phyllosilicate","[{'subject': 'laboratory measurement', 'subjectScheme': 'main'}, {'subject': 'confocal reflection', 'subjectScheme': 'main'}, {'subject': 'micro-imaging', 'subjectScheme': 'main'}, {'subject': 'MIR', 'subjectScheme': 'variables'}, {'subject': 'Mid-Infrared', 'subjectScheme': 'variables'}, {'subject': 'reflectance factor', 'subjectScheme': 'variables'}, {'subject': 'Serpentine Rawhide', 'subjectScheme': 'name'}, {'subject': 'Serpentine UB-N', 'subjectScheme': 'name'}, {'subject': 'Saponite Griffithite', 'subjectScheme': 'name'}, {'subject': 'mineral', 'subjectScheme': 'family'}, {'subject': 'natural terrestrial', 'subjectScheme': 'origin'}, {'subject': 'phyllosilicate', 'subjectScheme': 'compound type'}]",['9 spectra'],['ASCII']
+10.5281/zenodo.10991302,3DTeethLand: 3D Teeth Landmarks Detection Challenge,Zenodo,2024,,Other,Creative Commons Attribution 4.0 International,"Two years ago, we successfully introduced the '3DTeethSeg' challenge dealing with teeth segmentation and labeling tasks from intraoral 3D scans. Continuing from our previous challenge and striving for in-depth perception of intraoral scans, we intend to address within this version of the challenge a more complex task, teeth landmark detection. This task holds significant importance in modern clinical orthodontics. These crucial landmarks, including features such as cusps and mesial-distal locations, play a fundamental role in advancing orthodontic treatment planning and assessment in clinical dentistry. However, several significant challenges could be present given the intricate geometry of individual teeth and substantial variations between individuals. To address these complexities, the development of advanced techniques, particularly through the application of deep learning, is required for the precise detection of 3D tooth landmarks.  This challenge introduces the first publicly available dataset for 3D teeth landmarks detection, encouraging community involvement in a topic with important clinical implications. It plays a key role in advancing automation and leveraging AI for optimizing orthodontic treatments.",api,True,findable,0,0,0,0,0,2024-04-19T19:36:06.000Z,2024-04-19T19:36:07.000Z,cern.zenodo,cern,"digital orthodontics,landmark detection,3D intraoral scan,3D point cloud,MICCAI 2024 challenges","[{'subject': 'digital orthodontics'}, {'subject': 'landmark detection'}, {'subject': '3D intraoral scan'}, {'subject': '3D point cloud'}, {'subject': 'MICCAI 2024 challenges'}]",,
+10.5281/zenodo.10996641,silx-kit/silx: 2.1.0: 2024/04/19,Zenodo,2024,,Software,Creative Commons Attribution 4.0 International,"This version of silx supports Python 3.8 to 3.12.
+This is the first version of silx supporting numpy v2.
+
+<details><summary>
+
+What's Changed...
+
+</summary>
+
+
+
+
+silx.image.marchingsquare: Fixed cython code generation warning (PR #4110)
+
+
+
+silx.io:
+
+
+
+silx.io.specfile: Fixed compilation warnings (PR #4065)
+
+silx.io.commonh5: Improved code to use built-in types (PR #4090)
+
+
+
+
+silx.gui:
+
+
+
+silx.gui.data.RecordTableView: Fixed cell background color in dark mode (PR #4094)
+
+silx.gui.plot.PlotWidget: Fixed support of negative error values for curves and scatter plot (PR #4079)
+
+silx.gui.widgets.LegendIconWidget: Fixed logging: removing print (PR #4064)
+
+silx.gui.widgets.ElidedLabel: Fixed deprecation warning with Qt5>=5.11 (PR #4091)
+
+
+
+
+silx.math.marchingcubes: Fixed compilation warnings (PR #4065)
+
+
+
+silx.opencl.common: Changed ocl object for lazy initialization of OpenCL devices (PR #4093)
+
+
+
+silx.resources: Changed dependency from deprecated pkg_resources to importlib_resources for Python<3.9 (PR #4078)
+
+
+
+Dependencies
+
+
+
+Removed support of Python 3.7 (PR #4057)
+
+Added support of numpy v2 (PR #4082, #4100, #4108)
+
+Added requirement scipy>=1.10 for the tests (PR #4104)
+
+Fixed scipy.signal.gaussian deprecation warning (PR #4087)
+
+
+
+
+Documentation:
+
+
+
+Added how to override silx.opencl.sift parameters (PR #4107)
+
+Updated to use sphinx-design instead of sphinx-panels (PR #4063)
+
+Updated the guidelines to provide changelog in PR (PR #4058)
+
+Updated changelog (PR #4111)
+
+Fixed some links to documentation in the README (PR #4096)
+
+
+
+
+Continuous integration:
+
+
+
+Added release workflow (PR #4059)
+
+Added tests with numpy v2 (PR #4102, #4108)
+
+Fixed test by using PySide<6.7 (PR #4108)
+
+
+
+
+Build: Fixed Debian12 packaging by removing build of documentation (PR #4068)
+
+
+
+</details>
+
+New Contributors
+
+
+
+@cchndl made their first contribution in https://github.com/silx-kit/silx/pull/4094
+
+@ChannyClaus made their first contribution in https://github.com/silx-kit/silx/pull/4107
+
+
+Full Changelog: https://github.com/silx-kit/silx/compare/v2.0.1...v2.1.0",api,True,findable,0,0,0,0,0,2024-04-19T09:21:28.000Z,2024-04-19T09:21:28.000Z,cern.zenodo,cern,,,,
+10.5281/zenodo.10998451,"Voter Autrement 2022 - The Online Experiment (""Un Autre Vote'')",Zenodo,2024,en,Dataset,ODC Open Database License v1.0," In April 2022, 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, majority judgement and pairwise comparisons. The experiment was both carried out in situ in polling stations during the first round of the presidential election (using paper ballots), and online between April 8th (two days before the first round of the election) and May 7th (using a web application). A total of 2308 participants took part in 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.",api,True,findable,0,0,0,0,0,2024-04-19T19:44:02.000Z,2024-04-19T19:44:02.000Z,cern.zenodo,cern,"Election,Social Choice,Voting,Experimental Voting,Comsoc","[{'subject': 'Election'}, {'subject': 'Social Choice'}, {'subject': 'Voting'}, {'subject': 'Experimental Voting'}, {'subject': 'Comsoc'}]",,
+10.5281/zenodo.11005284,NeoGeographyToolkit/StereoPipeline: 2024-04-21-daily-build,Zenodo,2024,,Software,Creative Commons Attribution 4.0 International,Recent additions log: https://stereopipeline.readthedocs.io/en/latest/news.html,api,True,findable,0,0,0,0,0,2024-04-21T17:58:07.000Z,2024-04-21T17:58:07.000Z,cern.zenodo,cern,,,,
+10.5281/zenodo.10990984,"Dataset for ""Dynamics of the 2021 Fagradalsfjall eruption (Iceland) revealed by volcanic tremor patterns""",Zenodo,2024,,Dataset,Creative Commons Attribution 4.0 International,"Dataset for the paper ""Dynamics of the 2021 Fagradalsfjall eruption (Iceland) revealed by volcanic tremor patterns""  submitted by  Jean Soubestre, Corentin Caudron, Oleg Melnik, Thomas Lecocq, Claude,  Jaupart, Nikolai M. Shapiro, Cyril Journeau, Yeşim Çubuk-Sabuncu, Kristín, Jónsdóttir to Journal of Geophysical Research - Solid Earth.",api,True,findable,0,0,0,0,0,2024-04-18T09:30:35.000Z,2024-04-18T09:30:35.000Z,cern.zenodo,cern,,,,
+10.5281/zenodo.11003937,pyxem/orix: orix 0.12.1,Zenodo,2024,,Software,Creative Commons Attribution 4.0 International,"orix 0.12.1 is a patch release of orix, an open-source Python library for handling orientations, rotations and crystal symmetry.
+
+See below, the changelog or the GitHub changelog for all updates from the previous release.
+
+Fixed
+
+
+
+ax2qu and Quaternion.from_axes_angles() would raise if the input arrays were broadcastable but the final dimension was 1. This has been fixed.
+
+Phase.from_cif() now correctly adjusts atom positions when forcing",api,True,findable,0,0,0,0,0,2024-04-21T09:21:59.000Z,2024-04-21T09:22:00.000Z,cern.zenodo,cern,,,,
+10.7914/k2rg-gn94,Peri-glacial an glacial risk study seismic network,International Federation of Digital Seismograph Networks,2024,,Dataset,,"Seismic network and temporary surveys deployed in the Mont Blanc and Vanoise mountain ranges, french Alps, devoted to the study of glacial and peri-glacial risk, landslides, rockfalls and slope stability. Continuous data allow in depth analysis of ambient seismic noise, but also micro-sismicity and regional seismicity.
+These network and survey are conducted in the framework of the ""PAPROG""  National action plan for the prevention of glacial and periglacial risks, financed by the French Ministry of the Environment's General Directorate for Risk Prevention.",api,True,findable,0,0,0,0,0,2024-04-17T16:57:03.000Z,2024-04-17T16:57:04.000Z,iris.iris,iris,,,['2000000 MB'],['SEED data']