cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh0203898.10fu
title: SH0203898.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0203899.10fu
title: SH0203899.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0203900.10fu
title: SH0203900.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15468/dl.j3q5r6
title: Occurrence Download

description: A dataset containing 1153442 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Certhia familiaris",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Geometry POLYGON((-180 -90, 180 -90, 180 90, -180 90, -180 -90))"
 ]
}

 The dataset includes 1153442 records from 942 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002191-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.26023/h2h3-sed3-v06
title: T-PARC: MTSAT Convergence and Divergence Imagery. Version 1.0

description: This data set contains MTSAT (GMS-6) 850-925mb convergence and 150-300mb divergence imagery developed by CIMSS for the T-PARC region and time period.
DOI: 10.48331/scielodata.kz3pa3/tydd4i
title: README.txt

description: README
DOI: 10.48331/scielodata.kz3pa3/cky42n
title: Interview_data_DNDi_2025.pdf

description: Data
DOI: 10.48331/scielodata.kz3pa3
title: Data for: Drugs for Neglected Diseases initiative: social innovation despite intellectual property

description: The data pertains to a questionnaire sent to the person responsible for the intellectual property policy at the Drugs for Neglected Diseases initiative.
The file includes the informed consent form signed by the interviewee and the answers to four questions.
DOI: 10.15468/dl.xmy8zm
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cerastium ligusticum",
 "Country is Denmark",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0043374-250920141307145/datasets/export for details.
DOI: 10.15468/dl.jckxxm
title: Occurrence Download

description: A dataset containing 46 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is RUS.6_1",
 "IucnRedListCategory is CR",
 "License is CC-BY-NC 4.0",
 "OccurrenceStatus is Present",
 "PublishingOrg is 28eb1a3f-1c15-4a95-931a-4af90ecb574d",
 "TaxonKey is Lonicera tatarica",
 "Year 2000-2020"
 ]
}

 The dataset includes 46 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0043375-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7275/6t64-wy56
title: Data corresponding to “Antarctic meltwater alters future projections of climate and sea level”

description: As described in the publication Sadai et al. (2025), CESM and PSU-3D were run in an annual interactive coupling setup under the RCP4.5 and RCP8.5 emissions scenarios. The output from PSU-3D was then run with a sea level model to understand the global spatial fingerprint of the Antarctic contribution to sea level rise. The sea level model output was used to generate the globe*.tif files which create the projected sea level maps.
DOI: 10.15468/dl.kddnet
title: Occurrence Download

description: A dataset containing 120 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cerastium ligusticum",
 "Country is France",
 "HasCoordinate is true"
 ]
}

 The dataset includes 120 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0043376-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.j4zkqj
title: Occurrence Download

description: A dataset containing 69 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cerastium ligusticum",
 "Country is Switzerland",
 "HasCoordinate is true"
 ]
}

 The dataset includes 69 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0043377-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.26023/89c8-8c2e-4m10
title: T-PARC: MTSAT Shear Imagery. Version 1.0

description: This data set contains MTSAT (GMS-6) wind shear imagery developed by CIMSS for the T-PARC region and time period. Included are deep and mid-level wind shear products (hourly) as well as a wind shear tendency product (3 hourly). The deep and mid-level shear products start on 14 August 2008.
DOI: 10.15468/dl.sc7ukn
title: Occurrence Download

description: A dataset containing 113 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is RUS.2_1",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "IucnRedListCategory is CR",
 "License is CC-BY-NC 4.0",
 "OccurrenceStatus is Present",
 "PublishingOrg is 28eb1a3f-1c15-4a95-931a-4af90ecb574d",
 "TaxonKey is Lonicera tatarica",
 "Year 2000-2020"
 ]
}

 The dataset includes 113 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0043379-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17257999
title: data and results for seurat_b_cells

description: https://gitlab.pasteur.fr/gmillot/seurat_b_cells
DOI: 10.5281/zenodo.17258000
title: data and results for seurat_b_cells

description: https://gitlab.pasteur.fr/gmillot/seurat_b_cells
DOI: 10.7910/dvn/zgeddt
title: Psychometric Validation of the Mental Toughness Scale (MTS) in Chilean University Athletes

description: These data correspond to the validation of the Mental Toughness Scale (MTS) with Chilean athletes. The dataset includes responses from university athletes across various sports disciplines, collected as part of a study assessing the factorial structure, reliability, and validity of the MTS in this population. The data were analysed using Exploratory Structural Equation Modelling (ESEM) to determine the most appropriate factor structure for measuring mental toughness in Chilean sports contexts.
DOI: 10.15468/dl.twsujs
title: Occurrence Download

description: A dataset containing 591050 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-67.41403 17.80436,-66.89786 17.80436,-66.89786 18.28863,-67.41403 18.28863,-67.41403 17.80436))",
 "IucnRedListCategory is one of (EX, EW, CR, EN, VU, NT, LC, DD)",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 591050 records from 194 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0043296-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5255/ukda-sn-858009
title: Government Participation in Virtual Negotiations: Evidence From the Intergovernmental Panel on Climate Change Approval Sessions, 2023-2025

description: The Covid-19 pandemic challenged global governance in unprecedented ways by requiring intergovernmental meetings to be held online. For the Intergovernmental Panel on Climate Change (IPCC), this meant that the intergovernmental approval of the key findings of the Sixth Assessment Report (AR6) had to be conducted virtually. 

In this research, we assess how the move away from face-to-face meetings affected country participation in IPCC approval sessions. Our findings demonstrate that virtual meetings increased the size of member governments’ delegations, but this did not necessarily translate into a greater number of interventions during the approval of the Summary for Policymakers (SPM) as time zone differences reduced engagement levels significantly—particularly for countries from the Pacific, East Asian, and Latin American regions whose delegations often found themselves in IPCC meetings late at night and early in the morning. 

These results offer initial, empirically robust evidence about what online meetings can and cannot achieve for promoting more inclusive global governance at a time when the IPCC and other organizations reflect on the future use of virtual and hybrid meeting formats.

The data used in this analysis relies on three original sources.

First, we source information about country delegations for IPCC AR5 and AR6 for all three Working Group (WG) reports and the Synthesis Report from publicly available session documents published by the IPCC Secretariat. Session information and links to these documents are provided in Appendix B of the Climatic Change publication. These data allow us to create measures of the size of country delegations, which meetings they attended, and the gender breakdown of each delegation.

Second, we use country mentions from Earth Negotiations Bulletin (ENB) reports for IPCC Approval Plenary meetings for WGII and WGIII during AR6. These are available from the ENB website. We use this information to create our engagement measure.

Third, we use information from the daily schedules from IPCC Approval Plenaries for WGII and WGIII mettings during AR6. As accredited researchers, we had access to these documents which allowed us to create a data set that record which negotiation item/headline statement was negotiated when. Combining these data with information about time zones in each delegation's home country, allows us to analyse the effect of time zones on engagement of delegations in IPCC intergovernmental negotiations.
DOI: 10.26023/hvvf-1x2b-040g
title: T-PARC: MTSAT Cloud Drift Winds Imagery. Version 1.0

description: This data set contains MTSAT (GMS-6) cloud drift wind imagery developed by CIMSS for the T-PARC region and time period. Included are 200mb streamline, mid-upper level (100-500 mb) winds, and low-level (700-950mb) winds.
DOI: 10.15468/dl.vk2mtt
title: Occurrence Download

description: A dataset containing 46 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Dianthus carthusianorum",
 "Country is Denmark",
 "HasCoordinate is true"
 ]
}

 The dataset includes 46 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0043380-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25574/27919
title: Chandra X-ray Observatory ObsId 27919

description: FINDING TYPE IA SUPERNOVA PROGENITORS AMONG THE SYMBIOTIC STARS
DOI: 10.15468/dl.6jwcpe
title: Occurrence Download

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Dianthus carthusianorum",
 "Country is Estonia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 5 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0043381-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yccw8w
title: Occurrence Download

description: A dataset containing 58 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Dianthus carthusianorum",
 "Country is Sweden",
 "HasCoordinate is true"
 ]
}

 The dataset includes 58 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0043382-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34810/data561
title: UAV-LIDAR and RGB imagery reveal intraspecific variability of morphometric traits in two Mediterranean pines

description: We evaluate the potential of LiDAR and RGB imagery obtained through unmanned aerial vehi-cles (UAVs) as high-throughput phenotyping tools for the characterization of tree growth and crown structure in two representative Mediterranean pine species (P. nigra and P. halepensis). Both UAV-based methods were then tested for their accuracy to detect genotypic differentiation among Pinus nigra and Pinus halepensis populations and their subspecies (black pine) or ecotypes (Aleppo pine). We investigated the possible relation between intraspecific variation of morphometric traits and life-history strategies of populations by correlating traits to climate factors at origin of pop-ulations. Finally, we investigated which traits distinguished better among black pine subspecies or Aleppo pine ecotypes.
The data included raw values of morphometric traits derived from LiDAR and RGB-UAVs and measured in situ, populations means of statistically relevant morphometric traits and climate variables at site, and subspecies (P. nigra) and ecotypes (P. halepensis) means of statistically significant morphometric traits.
description: LAStools, null
description: FUSION/LDV, 3.42
description: QGIS, 3.26.3
description: RStudio, 4.1.2
description: Microsoft Excel, null
DOI: 10.26023/ezq4-180p-t006
title: T-PARC: MTSAT Wavetrak Imagery. Version 1.0

description: This data set contains MTSAT (GMS-6) infrared imagery with visible and infrared cloud drift winds overlain. The product was developed by CIMSS for the T-PARC time period.
DOI: 10.15468/dl.35jd2v
title: Occurrence Download

description: A dataset containing 239969 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Geometry POLYGON((9.10373 49.19059,7.89529 43.90798,13.83391 44.25325,20.08327 39.31591,24.95155 39.66118,30.51037 42.97576,32.4784 51.88368,19.08199 52.19442,9.10373 49.19059))",
 "OccurrenceStatus is Present",
 "TaxonKey is Fulica atra"
 ]
}

 The dataset includes 239969 records from 141 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0043352-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.racqx3
title: Occurrence Download

description: A dataset containing 23 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Dianthus carthusianorum",
 "Country is United States of America",
 "HasCoordinate is true"
 ]
}

 The dataset includes 23 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0043384-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2gv5ue
title: Occurrence Download

description: A dataset containing 819794 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Mammalia",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "Year is greater than or equal to 2016",
 "Year is less than or equal to 2021",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "Country is United Kingdom of Great Britain and Northern Ireland",
 {
 "or" : [
 {
 "not" : {
 "EstablishmentMeans" : [
 "is one of (MANAGED, INTRODUCED)"
 ]
 }
 },
 "EstablishmentMeans is null"
 ]
 },
 {
 "or" : [
 "CoordinateUncertaintyInMeters is less than 1000",
 "CoordinateUncertaintyInMeters is null"
 ]
 }
 ]
}

 The dataset includes 819794 records from 129 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0043358-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.26023/5mqt-6h8x-p60m
title: T-PARC: MTSAT and GOES Composite IR and WV Imagery. Version 1.0

description: This data set contains composite MTSAT (GMS-6) and GOES infrared and water vapor imagery developed by CIMSS for the T-PARC time period.
DOI: 10.15468/dl.sws5kc
title: Occurrence Download

description: A dataset containing 71 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DwcaExtension is http://rs.gbif.org/terms/1.0/Multimedia",
 {
 "or" : [
 "Geometry POLYGON((44.97134 78.59082,51.75074 78.59082,51.75074 81.05876,44.97134 81.05876,44.97134 78.59082))",
 "Geometry POLYGON((51.30472 70.38418,57.45971 70.38418,57.45971 73.38733,51.30472 73.38733,51.30472 70.38418))"
 ]
 },
 "HasCoordinate is true",
 "License is CC-BY 4.0",
 "OccurrenceStatus is Present",
 "TaxonKey is Animalia"
 ]
}

 The dataset includes 71 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0043386-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7mnynv
title: Occurrence Download

description: A dataset containing 321 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Russian Federation",
 "DatasetKey is iNaturalist Research-grade Observations",
 "GadmGid is one of (RUS.30_1, RUS.34_1)",
 "Geometry POLYGON((-180 -90,180 -90,180 90,-180 90,-180 -90))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "License is CC-BY-NC 4.0",
 "Month is one of (June, July, August)",
 "OccurrenceStatus is Present",
 "TaxonKey is Mantidae",
 "Year 2020-2025"
 ]
}

 The dataset includes 321 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0043387-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7b9ya6
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Moenchia mantica",
 "Country is France",
 "HasCoordinate is true"
 ]
}

 The dataset includes 3 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0043389-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.53srem
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Moenchia mantica",
 "Country is Denmark",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0043388-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.87jkq9
title: Occurrence Download

description: A dataset containing 197064 records in GBIF matching the query:

SELECT
level0gid,
 GBIF_ISEA3HCode(
 9, 
 decimalLatitude,
 decimalLongitude,
 COALESCE(coordinateUncertaintyInMeters, 1000)
 ) AS geogrid_id,
 speciesKey,
 COUNT(*) AS n_records
FROM occurrence
WHERE level0gid='COL'
AND coordinateUncertaintyInMeters &lt;= 2000
AND hasGeospatialIssues = FALSE
AND hasCoordinate = TRUE
AND occurrenceStatus = 'PRESENT'
GROUP BY level0gid, geogrid_id, speciesKey;


 The dataset's 197064 records were derived from 564 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0043378-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2hkjfb
title: Occurrence Download

description: A dataset containing 16 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Chaetophyes admittens"
 ]
}

 The dataset includes 16 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0043391-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.26023/kyvm-ww24-bn0z
title: T-PARC: Constant Pressure Level Maps. Version 1.0

description: This data set contains constant pressure level imagery for the T-PARC region and time period. The following pressure levels are included: 300, 500, 700, 850 and 925 mb.
DOI: 10.15468/dl.37zspw
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Moenchia mantica",
 "Country is Poland",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0043390-250920141307145/datasets/export for details.