cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.jq5bbg
title: Occurrence Download

description: A dataset containing 7 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Balitora mysorensis Hora, 1941"
 ]
}

 The dataset includes 7 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0339279-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fwryt5
title: Occurrence Download

description: A dataset containing 58454 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Cassytha L."
 ]
}

 The dataset includes 58454 records from 411 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0205487-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fd5ky3
title: Occurrence Download

description: A dataset containing 947 species occurrences available in GBIF matching the query:
{
 "and" : [
 "VerbatimScientificName is Sicalis taczanowskii",
 "BasisOfRecord is one of (Machine Observation, Human Observation)",
 "Year 2011-2021",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen, Specimen, Material citation, Material sample)"
 ]
 }
 }
 ]
}

 The dataset includes 947 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0084655-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.t4tbyj
title: Occurrence Download

description: A dataset containing 49 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Croilia mossambica Smith, 1955"
 ]
}

 The dataset includes 49 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0339284-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wqhfm5
title: Occurrence Download

description: A dataset containing 929 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Capparicordis Iltis & Cornejo"
 ]
}

 The dataset includes 929 records from 82 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0202111-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.756b7y
title: Occurrence Download

description: A dataset containing 8080 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Asia",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Ephedraceae"
 ]
}

 The dataset includes 8080 records from 110 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0094671-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.x3397n
title: Occurrence Download

description: A dataset containing 194 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Sebastes umbrosus (Jordan & Gilbert, 1882)"
 ]
}

 The dataset includes 194 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0381669-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.f9vp25
title: Occurrence Download

description: A dataset containing 55968 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Laurus L."
 ]
}

 The dataset includes 55968 records from 579 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0205499-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.v74vbp
title: Occurrence Download

description: A dataset containing 2520 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Ephedraceae"
 ]
}

 The dataset includes 2520 records from 36 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0094675-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.36arv7
title: Occurrence Download

description: A dataset containing 580 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Otocolobus manul (Pallas, 1776)"
 ]
}

 The dataset includes 580 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0339333-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.825d25
title: Occurrence Download

description: A dataset containing 63 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Parkia reticulata Ducke"
 ]
}

 The dataset includes 63 records from 25 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0172589-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6c9hs4
title: Occurrence Download

description: A dataset containing 651 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Daphniphyllum paxianum K.Rosenthal"
 ]
}

 The dataset includes 651 records from 28 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022078-231002084531237/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bztzpx
title: Occurrence Download

description: A dataset containing 11630 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Thelephora caryophyllea (Schaeff.) Pers., Thelephora terrestris Ehrh.)",
 "Geometry POLYGON((-9.36035 44.71551,-10.59082 42.81152,-11.82129 36.80928,-7.69043 36.17336,-3.38379 35.88905,3.12012 38.13456,9.18457 38.20366,11.7334 37.16032,12.78809 34.74161,17.09473 33.79741, 23.15918 34.23451,30.10254 32.62087,33.2666 32.99024,35.72754 35.03,33.00293 35.53223,28.69629 35.17381,28.34473 36.31513,25.7959 37.50973,24.91699 39.90974,28.78418 40.6473,30.71777 41.17865,36.87012 45.213,38.18848 46.98025,38.71582 47.7541,39.94629 47.93107,40.20996 49.61071,37.0459 50.34546,35.72754 50.40152,33.79395 52.26816,31.68457 51.94426,31.4209 53.27835,32.56348 53.43572,30.98145 54.77535,30.89355 55.52863,28.43262 56.02295,27.20215 57.65716,27.37793 58.30949,27.90527 59.17593,29.66309 59.88894,27.6416 60.58697,31.50879 62.75473,28.78418 69.83962,30.89355 70.28912,29.22363 71.55274,21.75293 71.30079,14.28223 70.14036,11.38184 67.47492,4.87793 63.66576,-5.53711 71.52491,-10.63477 71.69129,-21.5332 67.74276,-28.56445 65.36684,-24.3457 61.35461,-9.36035 44.71551))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1980",
 "Year is less than or equal to 2021"
 ]
}

 The dataset includes 11630 records from 141 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0329367-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zz6xg2
title: Occurrence Download

description: A dataset containing 342 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Chlorocardium Rohwer, H.G.Richt. & van der Werff"
 ]
}

 The dataset includes 342 records from 38 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0205488-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tsvq82
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Coleus botryosus (A.J.Paton) A.J.Paton"
 ]
}

 The dataset includes 2 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0084640-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8tkez7
title: Occurrence Download

description: A dataset containing 44674 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Plectropomus leopardus (Lacepède, 1802)"
 ]
}

 The dataset includes 44674 records from 72 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0381683-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8dj3ph
title: Occurrence Download

description: A dataset containing 12930 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Agonimia tristicula (Nyl.) Zahlbr., Pyrenula nitida (Weigel) Ach.)",
 "Geometry POLYGON((-9.36035 44.71551,-10.59082 42.81152,-11.82129 36.80928,-7.69043 36.17336,-3.38379 35.88905,3.12012 38.13456,9.18457 38.20366,11.7334 37.16032,12.78809 34.74161,17.09473 33.79741, 23.15918 34.23451,30.10254 32.62087,33.2666 32.99024,35.72754 35.03,33.00293 35.53223,28.69629 35.17381,28.34473 36.31513,25.7959 37.50973,24.91699 39.90974,28.78418 40.6473,30.71777 41.17865,36.87012 45.213,38.18848 46.98025,38.71582 47.7541,39.94629 47.93107,40.20996 49.61071,37.0459 50.34546,35.72754 50.40152,33.79395 52.26816,31.68457 51.94426,31.4209 53.27835,32.56348 53.43572,30.98145 54.77535,30.89355 55.52863,28.43262 56.02295,27.20215 57.65716,27.37793 58.30949,27.90527 59.17593,29.66309 59.88894,27.6416 60.58697,31.50879 62.75473,28.78418 69.83962,30.89355 70.28912,29.22363 71.55274,21.75293 71.30079,14.28223 70.14036,11.38184 67.47492,4.87793 63.66576,-5.53711 71.52491,-10.63477 71.69129,-21.5332 67.74276,-28.56445 65.36684,-24.3457 61.35461,-9.36035 44.71551))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1980",
 "Year is less than or equal to 2021"
 ]
}

 The dataset includes 12930 records from 124 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0167878-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57745/nq9hrv
title: Portail de données phénologiques du réseau TEMPO / TEMPO Data Portal

description: TEMPO est le réseau national d'observatoires dédiés à la phénologie de l’ensemble du règne vivant. Le portail de données de TEMPO permet de rechercher, prévisualiser et télécharger des données phénologiques issues des bases de données suivantes : Epiphyt, Forêt GnpIS, Observatoire des Saisons - Recherche, Observatoire des Saisons - Tela Botanica, ORE DiaPFC, Phénoclim - CREA Mont-Blanc, Phenoclim - AgroClim INRAE, Phenoclim - AgroClim Pro (*), PHETEC. (*) Soumis à une demande d'autorisation. Vous pouvez vous connecter afin d'avoir accès à un historique de vos précédentes requêtes, demander l'accès aux données soumises à demande d'autorisation pour les prévisualiser et les télécharger. Le nombre de sources va évoluer dans les prochaines années.
DOI: 10.57745/pa13ok
title: Simulated daily water temperature time series data (full water profile) for lakes Geneva, Annecy, Bourget and Aiguebelette over the period 1850-2100, based on IPCC ssp126, ssp370 and ssp585 scenarios.

description: Data description : Time series of daily water temperature profiles in Lakes Geneva, Annecy, Bourget and Aiguebelette over the period 1850-2100. Temperature profiles correspond to simulation data computed from the 1D deterministic MyLake model, constrained by IPCC scenarios ssp126, ssp370 and ssp585 and validated according to 50±13 years of observation data collected and stored by the Lake Observatory OLA (https://si-ola.inra.fr/si_lacs/login.jsf). The model simulates daily vertical water temperature profiles every 0.5 m in Lakes Annecy and Aiguebelette and every 1 m in Lakes Geneva and Bourget. Climate input variables used to constrain MyLake model correspond to air temperature and shortwave radiations that were extracted from ISIMIP3b over the period 1850-2100. Other variables (wind speed, relative humidity, rain, cloud cover and surface pressure) were extracted from meteorological observations from which daily means were calculated and replicated every year from 1850 to 2100. Complete data description and method information are provided in Desgué-Itier et al. (doi).
DOI: 10.57745/pr8vuv
title: Temporal Brain Networks

description: Temporal Brain Networks This dataset contains a collection of temporal brain networks. The networks are obtained from resting-state fMRI data of 1047 subjects from the Human Connectome Project (HCP). Pipeline The pipeline takes the blood oxygen level dependent signals from the fMRI scan for each voxel of the brain and processes them. The output is a temporal network that represents the activity between brain regions during the ~12 minutes of the scan. The pipeline parameters are as follows Window size: 60 seconds Window overlap: 30 seconds Tukey window parameters: 0 (rectangular window) Correlation: Pearson Atlas: Schaefer Temporal Networks Networks are undirected and weighted. The values of the diagonal are 1, because they correspond to the correlation of a brain region with itself. The number of nodes doesn't change over time, instead edges appear and disappear. Dataset structure The dataset is organized as follows: The file id_subjects.txt contains the list of subject IDs, which are a selection of the HCP dataset. Each folder contains a network for each subject in a .txt file. The networks are compressed into several .zip files of 1 Gb each to facilitate downloading. The first line of each .txt file contains the number of nodes and the number of snapshots of the network divided by a space. The following lines contain the list of edges of the network in the form i,j,t,w meaning that the edge between node i and node j at time t has weight w. Folder names don't exactly correspond to the node number of the network collected in them (neuroscience convention). The real number of nodes (which is given in the header of the .txt files) is the folder name plus 2, e.g. folder 100 contains networks with 102 nodes. Acknowledgments Data were provided by the Human Connectome Project, WU-Minn Consortium (Principal Investigators: David Van Essen and Kamil Ugurbil; 1U54MH091657) funded by the 16 NIH Institutes and Centers that support the NIH Blueprint for Neuroscience Research; and by the McDonnell Center for Systems Neuroscience at Washington University. The authors are grateful to the OPAL infrastructure from Université Côte d'Azur for providing resources and support. This work has been supported by the French government, through the UCA DS4H Investments in the Future project managed by the National Research Agency (ANR) with the reference number ANR-17-EURE-0004. References Woolrich MW, Ripley BD, Brady JM, and Smith SM. (2001). Temporal autocorrelation in univariate linear modelling of FMRI data. NeuroImage 14(6):1370-1386. Matthew F. Glasser, Stamatios N. Sotiropoulos, J. Anthony Wilson, Timothy S. Coalson, Bruce Fischl, Jesper L. Andersson, Junqian Xu, Saad Jbabdi, Matthew Webster, Jonathan R. Polimeni, David C. Van Essen, and Mark Jenkinson (2013). The minimal preprocessing pipelines for the Human Connectome Project. Neuroimage 80: 105-124.
DOI: 10.57745/qvjorb
title: Longitudinal blame and forgiveness judgments and dementia

description: The objective of this study was to explore the change over 15 months in how older people with dementia cognitively integrated three factors (Intention, Consequence, and Apology) when making judgments of blame and forgiveness. For each moral judgment, the participants were confronted with a questionnaire comprising 12 scenarios (built from combinations of the three factors) at 3-month intervals. Eight older adults with dementia (Mage = 70.88; SD = 9.52) were included in the study. The questionnaire and the Mini-Mental State Examination (MMSE) were administered every 3 months. Several repeated-measures analyses of variance were conducted on the data from each questionnaire, and a t-test was performed on the MMSE scores at baseline and at 15 months. Despite a decrease over time in the MMSE score, the cognitive processes in information integration were stable over the 15 months. Only the intent factor was considered in both types of moral judgment. In clinical practice, these findings might be useful for preventing cognitive decline.
DOI: 10.57745/qwzv94
title: Avian influenza wildlife surveillance France 2016 to 2022

description: The SAGIR network is an event-based surveillance network for wildlife health in which local stakeholders (naturalists, hunters, etc.) report the discovery of dead animals to the network. Depending on the local representative of the network judgement, signaled carcasses are collected and sent to the local veterinary laboratory where a necropsy is carried out. Regarding HPAI surveillance, tracheal and cloacal swabs are sampled and analyzed with PCR. A sequenced framework is used for this analysis, first presence of avian influenza A is tested via PCR for the M gene; then positive samples are tested for H5 or H7 avian virus (distinct PCR), and finally positive samples are tested by PCR by the French national reference laboratory for the clade 2.3.4.4b lineage if H5 positive and tested by molecular tools for HP characteristics if H7 positive. Samples are then characterized as HP if positive to gene M / H5 / clade 2.3.4.4b or to gene M / H7 / H7HP test (but no such samples were collected). All other samples are considered as negative. Individuals of same species found dead in the same commune in less than 24 hours, were collected and tested together in one or more pools (no more than 5 birds each). No individual results were available when samples from various individuals were pooled. A positive event (to highly pathogenic avian virus H5 of clade 2.3.4.4b, since no H7 AI were detected in the period studied) means that least one bird in at least one pool of the event was positive to HPAI. Between 2016 and May 2022, the specific surveillance protocol implemented by the SAGIR network for HPAI monitoring was basic: events of at least three birds of the same species that were found dead at the same site (1km²) over a short period (24 hours) were collected. Swans were subject to enhanced surveillance at all times and in all places, and were collected and tested as soon as the first bird was found dead (sentinel species). On the other hand, for risky periods (regulated by ministerial ruling and based on the active circulation of HPAI in neighboring countries or in France) and in particular areas of concern (again regulated by ministerial ruling, including wetlands on migratory routes), an enhanced protocol was carried out including sampling and analysis of any mortality of Laridae, Rallidae, Anatidae, waders, raptors and vultures. The data collection protocol changed in May 2022: from this date, the same basic rule applied, but if a bird was collected and tested positive for HPAI in a given area, a regulatory infected zone was established, and no further specimens of the same species were collected for the 10 following days within this zone (regulated by regional ruling and including all communes within 5km from the detected positive case).
DOI: 10.57745/r1nikk
title: Fichiers modèles de QGIS et Excel pour l'application du protocole d'aide à la décision pour le traitement des embâcles (protocole de Wohl et al. 2019 adapté par Benaksas et Piton 2022)

description: Ces données sont trois documents modèles et les fichiers sources associés permettant de faciliter l'application du protocole de Wohl et al. (2019) tel que adapté par Benaksas & Piton (2022): 2export_csv_vers_shp.qgz est un projet QGIS qui facilite la transformation en données SIG des fichiers textes (format .csv) importés de l'application Epicollect 5 tel que décrit dans l'Annexe C du rapport de Benaksas et Piton (2023) , 1NOM_PROJET.gqz est un projet QGIS qui facilite l'affichage et l'interprétation des données SIG compilées préalablement aux missions de terrains et sur le terrain, par exemple via l'application Epicollect 5 tel que décrit dans l'Annexe C u rapport de Benaksas et Piton (2023) , 3ResultatsProtocole_epicollecte.xlsx est un tableur Excel qui facilite la notation des indicateurs de l'approche multicritère, la modification éventuelle des pondérations entre sous-critères, mène le calcul des scores pondérés et préparent les sorties graphiques. Des conseils d'utilisations sont décrit dans l'Annexe B u rapport de Benaksas et Piton (2023) ,
DOI: 10.57745/rcspza
title: Fiches incertitudes des modèles hydrologiques de surface du projet Explore2 : X Durance

description: Ensemble de fiche descriptives des incertitudes du projet Explore2 aux points de simulation pour la région hydrologique X Durance Accompagnement de lecture des fiches Incertitudes Le projet Explore2 a produit une quantité inédite de données hydrologiques. Ainsi, des ensembles de projections hydrologiques ont été élaborés sur près de 4000 points de simulation répartis en France hexagonale. Les fiches incertitudes visent à décrire les incertitudes de ces ensembles pour chacun des 3991 points de simulations hydrologiques (surface) obtenus avec la méthode de correction ADAMONT, pour trois indicateurs: QA, QJXA, et QMNA. Les valeurs numériques ne doivent pas être lues sur ces fiches, mais dans les fichiers de données brutes ou d’indicateurs pré-calculés mis à disposition, comme les fiches de synthèse, sur le portail « DRIAS les futurs de l’eau ». Ce document a pour objectif d’expliciter le contenu de ces fiches de synthèse des incertitudes.
DOI: 10.57745/mxdub2
title: Non-use value of improving water quality and biodiversity

description: The aim of the research project is to assess the value placed on actions taken by the water agency in the region in order to protect water resources and biodiversity. This kind of survey makes it possible to estimate the value that people place on public policies. These files describe survey data collected from June 2021 to July 2021, targeting the French population. 1365 answers to questionnaires are available in the original database, before treatment on Stata. They include socio-economic characteristics, a Discrete Choice Experiment (DCE) and follow-up questions. The modifications are detailed in the files Stata_file_Survey_nonuse_values_chap2 and Stata_file_2_Survey_nonuse_values_chap2. The data are used in a paper submitted to the Revue d'Economie Politique: Amiri, T., Abildtrup, J., Garcia, S. The non-use value of improving water quality and biodiversity: Preferences for watershed protection measures.
DOI: 10.57745/pgrirj
title: Physiological response to surgical castration, tooth resection or tail docking in piglets

description: The present data include plasma concentrations of cortisol, ACTH, glucose, lactate and catecholamines in piglets submitted to surgical castration, tooth resection and tail docking as well to sham treatment or no handling.