cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.57745/kvodtr
title: Annexe F_Processus de transformation.pdf

description: :unav
DOI: 10.57745/wphaa1
title: Annexe E_Mémos_Béatrice_Mise en relation.pdf

description: :unav
DOI: 10.57745/eb9qyt
title: Annexe D_Son mini-enquêtes_3.WAV

description: :unav
DOI: 10.57745/gsejrk
title: Annexe A_Cartes relationnelles (expériences marquantes )_Valse.jpeg

description: :unav
DOI: 10.57745/lnuaog
title: Annexe D_Son mini-enquêtes_1.WAV

description: :unav
DOI: 10.57745/ehefr2
title: Annexe I_Émotions et ressentis distribués à un item de l’effet.pdf

description: :unav
DOI: 10.57745/p6bct2
title: Annexe G_Analyse des verbatims émotions, ressentis et leurs effets correspondants à travers les quatre étapes.pdf

description: :unav
DOI: 10.57745/ebbi5o
title: Annexe E_Mémos_Marie_Mise en relation.pdf

description: :unav
DOI: 10.57745/a2xgo5
title: Annexe A_Cartes relationnelles (expériences marquantes )_Fanfare.jpeg

description: :unav
DOI: 10.57745/qn23fw
title: Annexe E_Mémos_Xavier_Mise en relation.pdf

description: :unav
DOI: 10.57745/x5lhbc
title: Annexe E_Mémos_Xavier_Mise en relation.docx

description: :unav
DOI: 10.57745/mgpjkp
title: Annexe C_Documents numériques_Lyon 2_Décret no 2018-792 du 13 septembre 2018 relatif aux services communs universitaires.pdf

description: :unav
DOI: 10.57745/crpcyc
title: Annexe C_Documents numériques_Crous_Rapport d'activité 2023.pdf

description: :unav
DOI: 10.57745/bdvmyz
title: Annexe C_Documents numériques_BULyon 3_Programmation culturelle 2023-2024.pdf

description: :unav
DOI: 10.57745/xia0bf
title: Annexe C_Documents numériques_Lyon 1_Brochure_2024-25.pdf

description: :unav
DOI: 10.57745/u3e9oq
title: Annexe C_Documents numériques_Lyon 2_Missions de Chargé-e de projets culturels.pdf

description: :unav
DOI: 10.57745/nmbda5
title: Annexe C_Documents numériques_ENS de Lyon_Reconnaissance de l'engagement étudiant dans la vie associative, sociale ou professionnelle.pdf

description: :unav
DOI: 10.57745/brvbtp
title: Annexe C_Documents numériques_INALCO_Enquête sur le Panier Culture.pdf

description: :unav
DOI: 10.57745/ajat0a
title: Annexe C_Documents numériques_MBALyon_Projet faculté de médecine 2024.docx

description: :unav
DOI: 10.57745/asc65u
title: Annexe C_Documents numériques_Lyon 1_Brochure_2023-24.pdf

description: :unav
DOI: 10.57745/q3uhfu
title: Annexe C_Documents numériques_INALCO_Enquête-sdve-resultats.pdf

description: :unav
DOI: 10.57745/ksy8oh
title: Annexe C_Documents numériques_Lyon 1_Brochure_2021-22.pdf

description: :unav
DOI: 10.57745/vmajxo
title: Annexe C_Documents numériques_BULyon 3_Programmation culturelle 2021-2022.pdf

description: :unav
DOI: 10.57745/9mgko5
title: Annexe C_Documents numériques_MBALyon_Programme-enseignement-sup-2024-2025.pdf

description: :unav
DOI: 10.57745/afxlcm
title: Annexe C_Documents numériques_Lyon 2_Synthèse 4èmes rencontres action culturelle et artistique juin 2017.pdf

description: :unav
DOI: 10.57745/uglal9
title: Annexe C_Documents numériques_Lyon 1_Brochure_2022-23.pdf

description: :unav
DOI: 10.57745/xoc0c7
title: Annexe C_Documents numériques_MBALyon_Bilan d'activité 2022_enseignement supérieur.docx

description: :unav
DOI: 10.57745/qol4y5
title: Annexe C_Documents numériques_Lyon 2_Pôle médiations création_CR 23022024.docx

description: :unav
DOI: 10.57745/9dozqv
title: Annexe C_Documents numériques_MBALyon_Programme-enseignement-superieur-2023-2024.pdf

description: :unav
DOI: 10.57745/trwygg
title: Annexe C_Documents numériques_CR_Réunion de formation du comité InterQ 2024.pdf

description: :unav
DOI: 10.57745/vwcjkj
title: Annexe C_Documents numériques_Lyon 2_Pôle médiations création_CR 05072024.pdf

description: :unav
DOI: 10.57745/wdeeny
title: Annexe C_Documents numériques_BULyon3_Depliant_Expo_Design_WEB.pdf

description: :unav
DOI: 10.5281/zenodo.18460414
title: Time dependence of multiple geomagnetic surface intensity minima

description: We present a topological algorithm designed to calculate the time-dependent areas and centers of complex geomagnetic field configurations characterized by multiple local surface intensity minima enclosed within a common threshold value. The algorithm is based on the identification of saddle points, which allows the subdivision of the South Atlantic Anomaly (SAA) into distinct sub-regions associated with individual local minima.

All codes required to reproduce the results presented in Yue et al. (submitted to Journal of Geophysical Research: Solid Earth) are provided. The functions used to compute the sub-areas are included in the corresponding code files.

The geomagnetic field models referenced in this work include the CHAOS-8.2 model (Kloss et al., 2025), the COV-OBS.x2 model (Huder et al., 2020), and the HistKalmag model (Schanner et al., 2023). The associated Gauss coefficients are obtained from the following sources:





CHAOS-8.2: https://www.spacecenter.dk/files/magnetic-models/CHAOS-8/archive.html




COV-OBS.x2: https://www.spacecenter.dk/files/magnetic-models/COV-OBSx2/




HistKalmag: https://ionocovar.agnld.uni-potsdam.de/Kalmag/Histo/



For further data sharing or inquiries, please contact: ychyue@iggcas.ac.cn.
DOI: 10.57745/zjcz3z
title: Annexe C_Documents numériques_Lyon 2_Email d'échange.docx

description: :unav
DOI: 10.57745/nqippc
title: Annexe C_Documents numériques_Lyon 1_Livret ateliers.pdf

description: :unav
DOI: 10.57745/sqlxfn
title: Annexe C_Documents numériques_INALCO_Bilan action culturelle 2022-2023.pdf

description: :unav
DOI: 10.57745/1sburo
title: Annexe C_Documents numériques_BULyon3_Programmation culturelle 2020-2021.pdf

description: :unav
DOI: 10.5281/zenodo.18460413
title: Time dependence of multiple geomagnetic surface intensity minima

description: We present a topological algorithm designed to calculate the time-dependent areas and centers of complex geomagnetic field configurations characterized by multiple local surface intensity minima enclosed within a common threshold value. The algorithm is based on the identification of saddle points, which allows the subdivision of the South Atlantic Anomaly (SAA) into distinct sub-regions associated with individual local minima.

All codes required to reproduce the results presented in Yue et al. (submitted to Journal of Geophysical Research: Solid Earth) are provided. The functions used to compute the sub-areas are included in the corresponding code files.

The geomagnetic field models referenced in this work include the CHAOS-8.2 model (Kloss et al., 2025), the COV-OBS.x2 model (Huder et al., 2020), and the HistKalmag model (Schanner et al., 2023). The associated Gauss coefficients are obtained from the following sources:





CHAOS-8.2: https://www.spacecenter.dk/files/magnetic-models/CHAOS-8/archive.html




COV-OBS.x2: https://www.spacecenter.dk/files/magnetic-models/COV-OBSx2/




HistKalmag: https://ionocovar.agnld.uni-potsdam.de/Kalmag/Histo/



For further data sharing or inquiries, please contact: ychyue@iggcas.ac.cn.
DOI: 10.57745/shrt5j
title: ANNEXES_VERBATIMS.pdf

description: :unav
DOI: 10.57745/t4h1fu
title: Annexe C_Documents numériques_Lyon 3_Rapport d'activité_2022-2023.pdf

description: :unav
DOI: 10.57745/fnpisz
title: READ-ME_Annexes thèse_LY.txt

description: :unav
DOI: 10.57745/wijoi2
title: Annexes de thèse : Arts et culture dans l'enseignement supérieur français : formes, objectifs et effets transformateurs. Le cas du site de Lyon

description: Cette thèse étudie les effets transformateurs à long terme des actions et dispositifs d'éducation culturelle et artistique dans l'enseignement supérieur (ACES) en France. Elle s'appuie sur une enquête conduite à partir d'une étude documentaire et de 50 entretiens menés auprès de différents acteurs de l'ACES. Le jeu de données comprend deux types d'annexes : des documents méthodologiques détaillant les étapes d'analyse, et les retranscriptions intégrales des entretiens. L'ensemble est décrit dans le fichier README.
DOI: 10.11588/duerer.online.6981b5dc3c3b1
title: Brustbild eines jungen Mannes, https://d-nb.info/gnd/1194582915
DOI: 10.15468/dl.2kpzdc
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Acrolepia alliella",
 "BasisOfRecord is Human Observation",
 "Year is greater than or equal to 1990",
 "Year is less than or equal to 2026"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009203-260129131611470/datasets/export for details.
DOI: 10.15468/dl.uq9j46
title: Occurrence Download

description: A dataset containing 144 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Sannantha virgata",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 144 records from 23 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009208-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ejttuj
title: Occurrence Download

description: A dataset containing 35 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Taraxacum subalpinum, Taraxacum subalpinum)",
 "Year is greater than or equal to 1900",
 "Geometry POLYGON ((8.643 46.99, 14.1 46.92, 14.43 50.75, 8.534 50.83, 8.643 46.99))",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Observation, Human Observation, Machine Observation, Material sample)"
 ]
}

 The dataset includes 35 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009209-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kutf6q
title: Occurrence Download

description: A dataset containing 2257 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Salvadora persica"
 ]
}

 The dataset includes 2257 records from 70 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009211-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cgdamh
title: Occurrence Download

description: A dataset containing 53351 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (function (name, pos = -1, envir = as.environment(pos), all.names = FALSE, pattern, sorted = TRUE) \n{\n if (!missing(name)) {\n pos &lt;- tryCatch(name, error = function(e) e)\n if (inherits(pos, \"error\")) {\n name &lt;- substitute(name)\n if (!is.character(name)) \n name &lt;- deparse(name)\n warning(gettextf(\"%s converted to character string\", sQuote(name)), domain = NA)\n pos &lt;- name\n }\n }\n all.names &lt;- .Internal(ls(envir, all.names, sorted))\n if (!missing(pattern)) {\n if ((ll &lt;- length(grep(\"[\", pattern, fixed = TRUE))) && ll != length(grep(\"]\", pattern, fixed = TRUE))) {\n if (pattern == \"[\") {\n pattern &lt;- \"\\\\[\"\n warning(\"replaced regular expression pattern '[' by '\\\\\\\\['\")\n }\n else if (length(grep(\"[^\\\\\\\\]\\\\[&lt;-\", pattern))) {\n pattern &lt;- sub(\"\\\\[&lt;-\", \"\\\\\\\\\\\\[&lt;-\", pattern)\n warning(\"replaced '[&lt;-' by '\\\\\\\\[&lt;-' in regular expression pattern\")\n }\n }\n grep(pattern, all.names, value = TRUE)\n }\n else all.names\n}, Leptinotarsa decemlineata, Leptocybe invasa, Lissorhoptrus oryzophilus, Obolodiplosis robiniae, Opogona sacchari, Planococcus minor)",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Living Specimen, Machine Observation, Literature Occurrence)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 53351 records from 388 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009166-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18412805
title: Dataset from the paper "Impacts of Highland cattle browsing on encroaching Alnus viridis shrubs"

description: The data were generated as part of an SNF-funded project (Grant No. 217395).
DOI: 10.5281/zenodo.18412804
title: Dataset from the paper "Impacts of Highland cattle browsing on encroaching Alnus viridis shrubs"

description: The data were generated as part of an SNF-funded project (Grant No. 217395).
DOI: 10.15468/dl.s8g98d
title: Occurrence Download

description: A dataset containing 80663 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Specimen, Human Observation, Observation)",
 "OccurrenceStatus is Present",
 "TaxonKey is Nassella trichotoma"
 ]
}

 The dataset includes 80663 records from 136 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009173-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.28463654
title: Data and Rcode of "Climatic factors and pathogen nutritional strategies are associated with size-dependent infection patterns and pathogen-induced growth suppression in host plants: a field survey and a global meta-analysis"

description: Data and Rcode of "Climatic factors and pathogen nutritional strategies are associated with size-dependent infection patterns and pathogen-induced growth suppression in host plants: a field survey and a global meta-analysis"
DOI: 10.6084/m9.figshare.28463654.v4
title: Data and Rcode of "Climatic factors and pathogen nutritional strategies are associated with size-dependent infection patterns and pathogen-induced growth suppression in host plants: a field survey and a global meta-analysis"

description: Data and Rcode of "Climatic factors and pathogen nutritional strategies are associated with size-dependent infection patterns and pathogen-induced growth suppression in host plants: a field survey and a global meta-analysis"
DOI: 10.6084/m9.figshare.28463654.v3
title: Climate and pathogen nutritional types jointly shape size-dependent plant infection patterns: evidence from field survey and global meta-analysis

description: Dataset and Rcode for "Climate and pathogen nutritional types jointly shape size-dependent plant infection patterns: evidence from field survey and global meta-analysis".
DOI: 10.6084/m9.figshare.31239334
title: The Davis-Savant Standard (DSS) V3.5: Unified Global Mapping & Sovereign Infrastructure

description: This dataset archives the final synchronization of a 39-day deployment sprint (Dec 26, 2025 – Feb 2, 2026), establishing the Davis-Savant Standard (DSS). It documents the transition from biological neuro-mapping to a decentralized digital infrastructure using a Double-Blind Standard.
Core Technical Parameters
Biological Anchor: Precise mapping of the Periaqueductal Gray (PAG) at 0.18mm resolution using MNI152 [0, -28, -8] coordinates.
Digital Scale: Integration of 1,300,000 mapping points across a 1,300-node Byzantine Fault Tolerant (BFT) core fleet.
Transmission Integrity: Stability pulses maintained at 1083 Mbps and signed via Ed25519 cryptography to a root hash of 79de87c6.
Architecture: Multi-stage hardened containerization designed for high-velocity, zero-error asynchronous execution.
DOI: 10.6084/m9.figshare.31239334.v1
title: The Davis-Savant Standard (DSS) V3.5: Unified Global Mapping & Sovereign Infrastructure

description: This dataset archives the final synchronization of a 39-day deployment sprint (Dec 26, 2025 – Feb 2, 2026), establishing the Davis-Savant Standard (DSS). It documents the transition from biological neuro-mapping to a decentralized digital infrastructure using a Double-Blind Standard.
Core Technical Parameters
Biological Anchor: Precise mapping of the Periaqueductal Gray (PAG) at 0.18mm resolution using MNI152 [0, -28, -8] coordinates.
Digital Scale: Integration of 1,300,000 mapping points across a 1,300-node Byzantine Fault Tolerant (BFT) core fleet.
Transmission Integrity: Stability pulses maintained at 1083 Mbps and signed via Ed25519 cryptography to a root hash of 79de87c6.
Architecture: Multi-stage hardened containerization designed for high-velocity, zero-error asynchronous execution.
DOI: 10.5281/zenodo.18464079
title: Data associated with "Extracting and evaluating plant trait information from digital text in the Global Biodiversity Information Facility (GBIF)"

description: The data associated with Katori and Oguro (2025) (https://doi.org/10.1101/2025.03.16.643436):

There are eight data files: A raw table presenting the all occurrence data on vascular plants downloaded from GBIF, containing the five columns used in this study as well as latitude and longitude data (File 1); Text and values of life span (LS), growth form (GF), flower color (FC), and plant height (PH), latitude, and longitude extracted from each occurrence of GBIF (Files 2-4); A species-level dataset of LS, GF, FC, and PHmax for five databases (GBIF, TRY, BIEN, eFloras, and Rice database)(File 5); Files relating to expressions used to extract FC from GBIF and eFloras (Files 6-8).

For detailed descriptions of each file and how to create the data, see "README.txt" and Katori and Oguro (2025) (https://doi.org/10.1101/2025.03.16.643436).
DOI: 10.5281/zenodo.6578659
title: SuperDARN data in netCDF format (2009-Jul)

description: 2009-Jul SuperDARN radar data in netCDF format. These files were produced using version 3.0 of the public FitACF algorithm, using the AACGM v2 coordinate system. Cite this dataset if using our data in a publication.


The RST is available here: https://github.com/SuperDARN/rst



The research enabled by SuperDARN is due to the efforts of teams of scientists and engineers working in many countries to build and operate radars, process data and provide access, develop and improve data products, and assist users in interpretation.
Users of SuperDARN data and data products are asked to acknowledge this support in presentations and publications.
A brief statement on how to acknowledge use of SuperDARN data is provided below.




Users are also asked to consult with a SuperDARN PI prior to submission of work intended for publication.
A listing of radars and PIs with contact information can be found here:
(SuperDARN Radar Overview)



Recommended form of acknowledgement for the use of SuperDARN data:



'The authors acknowledge the use of SuperDARN data. SuperDARN is a collection of radars funded by national scientific funding agencies of Australia, Canada, China, France, Italy, Japan, Norway, South Africa, United Kingdom and the United States of America.'
DOI: 10.5281/zenodo.18462283
title: SuperDARN data in netCDF format (2009-Jul)

description: 2009-Jul SuperDARN radar data in netCDF format. These files were produced using version 3.0 of the public FitACF algorithm, using the AACGM v2 coordinate system. Cite this dataset if using our data in a publication.


The RST is available here: https://github.com/SuperDARN/rst



The research enabled by SuperDARN is due to the efforts of teams of scientists and engineers working in many countries to build and operate radars, process data and provide access, develop and improve data products, and assist users in interpretation.
Users of SuperDARN data and data products are asked to acknowledge this support in presentations and publications.
A brief statement on how to acknowledge use of SuperDARN data is provided below.




Users are also asked to consult with a SuperDARN PI prior to submission of work intended for publication.
A listing of radars and PIs with contact information can be found here:
(SuperDARN Radar Overview)



Recommended form of acknowledgement for the use of SuperDARN data:



'The authors acknowledge the use of SuperDARN data. SuperDARN is a collection of radars funded by national scientific funding agencies of Australia, Canada, China, France, Italy, Japan, Norway, South Africa, United Kingdom and the United States of America.'
DOI: 10.15468/dl.3qfbbu
title: Occurrence Download

description: A dataset containing 1402 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Teesdalia nudicaulis, Teesdalia nudicaulis)",
 "Year is greater than or equal to 1900",
 "Geometry POLYGON ((8.643 46.99, 14.1 46.92, 14.43 50.75, 8.534 50.83, 8.643 46.99))",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Observation, Human Observation, Machine Observation, Material sample)"
 ]
}

 The dataset includes 1402 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009215-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18466011
title: Sapian AI deciphers polypharmacology to identify novel therapeutic targets in LGMDR2

description: Sapian AI deciphers polypharmacology to identify novel therapeutic targets in LGMDR2

This repository holds code related to polypharmacology & biostatistics analysis related to the publication

Sapian AI deciphers polypharmacology to identify novel therapeutic targets in LGMDR2Nicolas Maignan4, Emilie Pellier1,2 Quentin Miagoux1,2 Johana Tournois1,2,3 David Papazian4, Rubal Ravinder4, Maxime Georges4, Jack Dawe4, Caio Hudson Queiroz de Souza4 Mike Maillasson5,6 Céline Bruge1,2 Nik Subramanian4 & Xavier Nissan1,2These authors contributed equally: Nicolas Maignan, Emilie Pellier, Quentin MiagouxCorresponding authors: Nik Subramanian, Xavier Nissan1 Université Paris-Saclay, Université d'Evry, Inserm, IStem, UMR861, Corbeil-Essonnes, France.2 IStem, CECS, Corbeil-Essonnes, France.3 IStem, CECS, The Research and Innovation Team, Corbeil-Essonnes, France. 4 KANTIFY, Bruxelles, Belgium. 5 Nantes University, CNRS, Inserm, CRCI2NA, Nantes, France. 6 Nantes University, Centre Hospitalo-Universitaire (CHU) Nantes, Inserm, CNRS, SFR Bonamy, UMS BioCore, IMPACT Platform, Nantes, France.