cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.8u3xw2
title: Occurrence Download

description: A dataset containing 87 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Loxodon macrorhinus",
 "Year 2005-2010"
 ]
}

 The dataset includes 87 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014023-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.grb72j
title: Occurrence Download

description: A dataset containing 411950 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is GBR.3.16.1_1",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 411950 records from 243 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013928-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18495645
title: Analytical Report on the Criminalization of Bankruptcy and the Misuse of Extradition Tools: The Case of Yury Sazonov
DOI: 10.5281/zenodo.18495646
title: Analytical Report on the Criminalization of Bankruptcy and the Misuse of Extradition Tools: The Case of Yury Sazonov
DOI: 10.15468/dl.rjtmxc
title: Occurrence Download

description: A dataset containing 1289351 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Asia",
 "Country is Chinese Taipei",
 "DatasetKey is EOD – eBird Observation Dataset",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year 2020-2020"
 ]
}

 The dataset includes 1289351 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013991-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.71819/7pqyvm
title: Coleção de Hemiptera do MZUSP

description: Coleção de Hemiptera do Museu de Zoologia da Universidade de São Paulo
DOI: 10.17026/ss/czb9mo
title: Schoolverlatersonderzoek 2024 - SVO 2024
title: SVO 2024

description: Dit bestand is gebaseerd op het Schoolverlatersonderzoek (SVO 2024). Het doel van het onderzoek is het leveren van informatie over de aansluiting tussen onderwijs en arbeidsmarkt. Deze informatie is voor het mbo van belang in het kader van de Wet macrodoelmatigheid d.d. 21 januari 2015 (stb. 2015, 56). Ingevolge deze wet moet de regering zicht hebben op arbeidsmarktaansluitingsinformatie van mbo-opleidingen. Het onderzoek wordt uitgevoerd onder personen die circa anderhalf jaar geleden succesvol een mbo-opleiding hebben afgerond. Naast het onderzoek onder mbo’ers wordt ook onderzoek gedaan onder gediplomeerden in het voortgezet onderwijs, waarbij het onder andere gaat over de aansluiting met een vervolgopleiding, en onder voortijdig schoolverlaters. Bij deze laatste groep gaat het bijvoorbeeld om de redenen voor voortijdige schooluitval en ook hun toekomstintenties. Het onderzoek wordt uitgevoerd in opdracht van het Ministerie van Onderwijs, Cultuur en Wetenschap (OCW). Daarnaast wordt samengewerkt met het Researchcentrum voor Onderwijs en Arbeidsmarkt (ROA). ROA beheert het SchoolverlatersInformatieSysteem (SIS), een systeem dat de transitie van school naar werk over de volle breedte van het onderwijs beoogt te monitoren. In het onderzoek gaat het om personen die een opleiding hebben afgerond, maar die niet per se ook het onderwijs hoeven te hebben verlaten. Zij kunnen ook een vervolgopleiding zijn gaan doen.
description: Data Access Protocol has been added.
DOI: 10.5281/zenodo.18379572
title: Dataset for Climate Risk to Balancing Authorities: Assessing Threats to Electricity Production Journal Paper

description: Dataset for Journal Article "Climate Risk to Balancing Authorities: Assessing Threats to Electricity Production"
DOI: 10.5281/zenodo.18379571
title: Dataset for Climate Risk to Balancing Authorities: Assessing Threats to Electricity Production Journal Paper

description: Dataset for Journal Article "Climate Risk to Balancing Authorities: Assessing Threats to Electricity Production"
DOI: 10.15468/dl.bcs9sd
title: Occurrence Download

description: A dataset containing 59681 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is DEU",
 "OccurrenceStatus is Present",
 "TaxonKey is Apis mellifera",
 "Year 2021-2024"
 ]
}

 The dataset includes 59681 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013957-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.p4ffvu
title: Occurrence Download

description: A dataset containing 1649 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ocotea insularis",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 1649 records from 51 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014024-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.23728/b2share.91bts-zn802
title: Longitudinal mental health data collected via the Corona Health smartphone app during COVID‑19

description: This is the complete dataset from the Corona Health mhealth app, Mental Health for Adults (18+ Years). The following files are included:

Codebook_Baseline_EMA.xlsx: Codebook describing the data regarding baseline and EMA assessment.Baseline.csv: Results from the baseline assessments.Ema.csv: Results from the longitudinal (EMA) assessments.APP_Baseline.csv: Information about app usage in the baseline assessments.APP_EMA.csv: Information about app usage in the EMA assessments.GPS_Baseline.csv: Information about GPS in the baseline assessments.GPS_EMA.csv: Information about GPS in the EMA assessments.
DOI: 10.23728/b2share.cgf63-kme28
title: Longitudinal mental health data collected via the Corona Health smartphone app during COVID‑19

description: This is the complete dataset from the Corona Health mhealth app, Mental Health for Adults (18+ Years). The following files are included:

Codebook_Baseline_EMA.xlsx: Codebook describing the data regarding baseline and EMA assessment.Baseline.csv: Results from the baseline assessments.Ema.csv: Results from the longitudinal (EMA) assessments.APP_Baseline.csv: Information about app usage in the baseline assessments.APP_EMA.csv: Information about app usage in the EMA assessments.GPS_Baseline.csv: Information about GPS in the baseline assessments.GPS_EMA.csv: Information about GPS in the EMA assessments.
DOI: 10.5281/zenodo.18495601
title: The MATLAB-formatted raw and declustered earthquake catalogs of the southeastern Tibetan Plateau, as used in the manuscript by Rui et al. (submitted to GJI)
DOI: 10.15468/dl.kejyy9
title: Occurrence Download

description: A dataset containing 63 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Trithrinax brasiliensis",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 63 records from 24 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014025-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.umcnae
title: Occurrence Download

description: A dataset containing 906 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((2.297099715720067 50.9861043644471, 2.284911035540217 50.97798215965046, 2.284143688476072 50.97591020453455, 2.318942338468734 50.95476390417924, 2.322829297053246 50.95906019878689, 2.338506923449745 50.96354126571477, 2.329128309550271 50.975746975021046, 2.334654542637866 50.976433090550344, 2.330175060404261 50.98698278374271, 2.324830202099192 50.99223271686415, 2.320614009659808 50.991035763717946, 2.317970781578599 50.996728764379455, 2.297099715720067 50.9861043644471))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 906 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014026-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.a9n38r
title: Occurrence Download

description: A dataset containing 19482456 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Asia",
 "Country is one of (Korea, Republic of, Chinese Taipei, China, Japan, Hong Kong, Korea (Democratic People’s Republic of), Macao)",
 "DatasetKey is EOD – eBird Observation Dataset",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year 2018-2026"
 ]
}

 The dataset includes 19482456 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013989-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wsbjfn
title: Occurrence Download

description: A dataset containing 280 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "Geometry POLYGON ((5.02092137382948 49.9998833305303, 5.020555243684083 50.00251648889372, 5.019399063938767 50.00505300405723, 5.017497155800599 50.00739537636429, 5.014922533872124 50.009453555126434, 5.011774111625154 50.011148404492886, 5.008172904460468 50.01241475087026, 5.0042573756154525 50.013203893825256, 5.000178104309623 50.013485483015614, 4.996091982671263 50.01324868819644, 4.992156166954211 50.012502616780864, 4.988522018471583 50.01127596270154, 4.98532927008866 50.00961590024112, 4.982700645011353 50.007586265872064, 4.980737136396781 50.00526509878101, 4.979514129825397 50.002741635550585, 4.979078517095288 50.00011287545349, 4.979446910600715 49.997479849173686, 4.980605024413213 49.99494373490096, 4.982508242881555 49.99260197125985, 4.9850833519172735 49.99054451627506, 4.9882313638908204 49.98885039560873, 4.991831325861763 49.98758467191628, 4.995744964162135 49.98679595083289, 4.999821987390734 49.98651451847464, 5.00390584566873 49.986751181210195, 5.007839727318452 49.98749685173494, 5.011472565471036 49.98872289714825, 5.014664826747041 49.99038223583132, 5.017293862098102 49.99241114150025, 5.019258615906567 49.994731685906444, 5.02048351302247 49.99725472726531, 5.02092137382948 49.9998833305303))",
 "KingdomKey is one of (Animalia, Fungi, Plantae)",
 "Year is one of (2016, 2017, 2018, 2019, 2020, 2021, 2022, 2023, 2024, 2025, 2026)"
 ]
}

 The dataset includes 280 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014027-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.71819/3klrnk
title: Coleção de Ephemeroptera do MZUSP

description: Coleção de Ephemeroptera do Museu de Zoologia da Universidade de São Paulo
DOI: 10.17026/ss/tm10bs
title: Schoolverlatersonderzoek 2023 - SVO 2023
title: SVO 2023

description: Dit bestand is gebaseerd op het Schoolverlatersonderzoek (SVO 2023). Het doel van het onderzoek is het leveren van informatie over de aansluiting tussen onderwijs en arbeidsmarkt. Deze informatie is voor het mbo van belang in het kader van de Wet macrodoelmatigheid d.d. 21 januari 2015 (stb. 2015, 56). Ingevolge deze wet moet de regering zicht hebben op arbeidsmarktaansluitingsinformatie van mbo-opleidingen. Het onderzoek wordt uitgevoerd onder personen die circa anderhalf jaar geleden succesvol een mbo-opleiding hebben afgerond. Naast het onderzoek onder mbo’ers wordt ook onderzoek gedaan onder gediplomeerden in het voortgezet onderwijs, waarbij het onder andere gaat over de aansluiting met een vervolgopleiding, en onder voortijdig schoolverlaters. Bij deze laatste groep gaat het bijvoorbeeld om de redenen voor voortijdige schooluitval en ook hun toekomstintenties. Het onderzoek wordt uitgevoerd in opdracht van het Ministerie van Onderwijs, Cultuur en Wetenschap (OCW). Daarnaast wordt samengewerkt met het Researchcentrum voor Onderwijs en Arbeidsmarkt (ROA). ROA beheert het SchoolverlatersInformatieSysteem (SIS), een systeem dat de transitie van school naar werk over de volle breedte van het onderwijs beoogt te monitoren. In het onderzoek gaat het om personen die een opleiding hebben afgerond, maar die niet per se ook het onderwijs hoeven te hebben verlaten. Zij kunnen ook een vervolgopleiding zijn gaan doen.
description: Data Access Protocol has been added.
DOI: 10.5519/qd.lkbq5tnh
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (11 records)
DOI: 10.15468/dl.etjrx8
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Persea borbonia",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014028-260129131611470/datasets/export for details.
DOI: 10.15468/dl.acc3xc
title: Occurrence Download

description: A dataset listing the 17 species recorded in GBIF matching the query:
{
 "DatasetKey" : [
 "is Inventaires Aéro Biodiversité - TLS - Toulouse Blagnac-Inventaires Aéro Biodiversité - TLS - Point d'EPOC 10"
 ]
}

 The dataset's 17 records were derived from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013996-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18495708
title: Datasets for testing the robustness of LiDAR vegetation metrics to varying point densities

description: The calculation of vegetation metrics from LiDAR point clouds might be affected by the available point density of a dataset. Testing how the same LiDAR vegetation metrics differ with different point densities can therefore inform about their robustness for upscaling metrics to other areas or other LiDAR point clouds. The datasets made available here were generated to test the robustness of LiDAR vegetation metrics to varying point densities and spatial resolutions (i.e., plots of 1 × 1 m, 2 × 2 m, 5 × 5 m and 10 × 10 m size). A total of 25 LiDAR vegetation metrics representing different aspects of vegetation height, vegetation cover and structural complexity were tested (see metric definition in Kissling et al. 2023, https://doi.org/10.1016/j.dib.2022.108798). The metric calculation was similar to the metric calculation in the Laserchicken software (Meijer et al. 2020, https://doi.org/10.1016/j.softx.2020.100626) and the Laserfarm workflow (Kissling et al. 2022, https://doi.org/10.1016/j.ecoinf.2022.101836). The Dutch AHN4 dataset from the years 2020–2022 with a point density of 20–30 points/m2 was used. Initially, 100 plots (i.e., squared polygons around centre points) were randomly placed across the Netherlands in Dutch Natura 2000 sites that predominantly contain woodland habitats (using shapefiles from the European Environmental Agency). For each centre point, square polygons of the desired resolutions (i.e., 1 × 1 m, 2 × 2 m, 5 × 5 m or 10 × 10 m plot size) were generated. The square polygons were subsequently used to clip the LiDAR point clouds from the Dutch AHN4 point cloud dataset. Since not all locations of the 100 randomly placed plots contained points, the actual sample sizes were slightly smaller than 100, i.e., 94 plots for the 1 × 1 m, 2 × 2 m and 5 × 5 m resolution and 95 plots for the 10 × 10 m resolution. Metrics were calculated with the original point density of the Dutch AHN4 dataset (20–30 points/m2) and with six systematically down-sampled point clouds for the same plots (i.e., keeping 5%, 10%, 20%, 40%, 60% and 80% of the points in the original point clouds). For each clipped point cloud of a plot at a given resolution, the points were first sorted according to their GPS acquisition time (from earliest to latest). Points were then systematically discarded and only 5%, 10%, 20%, 40%, 60% and 80% of the points in the original point clouds were kept. The kept points were used for calculating the 25 LiDAR vegetation metrics.
DOI: 10.5281/zenodo.16494910
title: Machine‑learning‑driven high‑accuracy spatial reconstruction of global wetlands

description: Using a machine learning model (Random Forest) incorporating anthropogenic features, we reconstructed global wetland distributions under future SSP126, SSP245, SSP370, and SSP585 scenarios based on outputs from seven climate models (ACCESS-ESM1-5, BCC-CSM2-MR, CanESM5, CESM2-WACCM, CMCC-ESM2, CNRM-CM6-1, and GFDL-ESM4). The spatial resolution is 0.25°, with global wetland distribution maps (in GeoTIFF format) generated every five years from 2015 to 2100, and annually from 2086 to 2100.

Due to the fact that the training of version v1 did not account for the influence of spatial autocorrelation, the model performance on the test set may have been substantially overestimated. Version v2 therefore adopts a rigorous spatial cross-validation strategy.
DOI: 10.5281/zenodo.18494396
title: Machine‑learning‑driven high‑accuracy spatial reconstruction of global wetlands

description: Using a machine learning model (Random Forest) incorporating anthropogenic features, we reconstructed global wetland distributions under future SSP126, SSP245, SSP370, and SSP585 scenarios based on outputs from seven climate models (ACCESS-ESM1-5, BCC-CSM2-MR, CanESM5, CESM2-WACCM, CMCC-ESM2, CNRM-CM6-1, and GFDL-ESM4). The spatial resolution is 0.25°, with global wetland distribution maps (in GeoTIFF format) generated every five years from 2015 to 2100, and annually from 2086 to 2100.

Due to the fact that the training of version v1 did not account for the influence of spatial autocorrelation, the model performance on the test set may have been substantially overestimated. Version v2 therefore adopts a rigorous spatial cross-validation strategy.
DOI: 10.15468/yc8pbf
title: Miniaturization in Otothyris Myers, 1927 (Loricariidae: Hypoptopomatinae)

description: This dataset contains the digitized treatments in Plazi based on the original journal article Rosa, Alaina Cristine, Martins, Fernanda de Oliveira, Langeani, Francisco (2014): Miniaturization in Otothyris Myers, 1927 (Loricariidae: Hypoptopomatinae). Neotropical Ichthyology 12 (1): 53-60, DOI: 10.1590/S1679-62252014000100005, URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1679-62252014000100053&lng=en&tlng=enMany species of freshwater fishes are considered miniatures, nevertheless, their identification as miniatures is frequently based only on an arbitrary criterion of small body size. Although some species of Otothyris had been suggested to be miniature, informations about the process and consequences of miniaturization in the genus are lacking. Here, we detail developmental events of loss, fusion, and modifications in several bones, the laterosensory system, and even the brain, that in sum demonstrate miniaturization in all species of the genus. Our results may be useful in the recognition of other miniature species of loricariids.Muitas espécies de peixes de água doce são consideradas miniaturas, entretanto, sua identificação é frequentemente basea- da apenas no critério arbitrário que é seu reduzido tamanho corporal. Apesar de algumas espécies de Otothyris terem sido propostas como miniaturas, informações acerca do processo de miniaturização no gênero e suas consequências são escassas. Aqui detalhamos eventos de perda, fusão, modificações em muitos ossos, sistema laterossensorial e no cérebro, que juntos evidenciam a miniaturização em todas as espécies do gênero. Nossos resultados podem ser úteis na identificação de outras espécies miniaturas dentro de Loricariidae.
DOI: 10.25824/redu/wlynvt
title: Type I interferon controls vertical transmission and fetoplacental infection of Oropouche virus

description: Raw data from all in vitro and in vivo experiments conducted in the article Type I interferon controls vertical transmission and fetoplacental infection of Oropouche virus.
DOI: 10.15468/dl.2tsd9d
title: Occurrence Download

description: A dataset containing 706 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Hyalomma anatolicum"
 ]
}

 The dataset includes 706 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014030-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jrdvy7
title: Occurrence Download

description: A dataset containing 626 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Phoebe lanceolata",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 626 records from 32 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014031-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18495659
title: summer-xrx/starlink-in-the-wild

description: 📌 Dataset Status & Project Reference

The data hosted in this Zenodo repository is currently under active organization and continuous updating. We are in the process of cleaning, validating, and structuring the dataset, and additional data and documentation will be released in future versions.

At this stage, the repository should be considered a work in progress.A more complete and stable release is coming soon.

The corresponding research project, including methodology, code, and ongoing updates, is maintained on GitHub and can be accessed at:

🔗 https://github.com/summer-xrx/starlink-in-the-wild

We encourage users to refer to the GitHub repository for the latest project progress and implementation details, and to monitor future Zenodo versions for updated data releases.
DOI: 10.6084/m9.figshare.31267513
title: Comparative specimens

description: Comparative specimens used in the study
DOI: 10.6084/m9.figshare.31267513.v1
title: Comparative specimens

description: Comparative specimens used in the study
DOI: 10.71724/szmq-es87
title: Dataset supporting the article Classical Floating Frame of Reference Formulation: Tips on Implementation Issues and Hidden Details in Examples Containing Planar Beams

description: <p><span style="font-size:12.04px">The dataset contains results files that support the article Classical Floating Frame of Reference Formulation: Tips on Implementation Issues and Hidden Details in Examples Containing Planar Beams authored by Marcin Pękal.</span><span style="font-size:12.04px"><br /></span></p><p><span style="font-size:12.04px">This work has been supported by the National Science Centre, Poland under grant no. 2022/45/B/ST8/00661.</span></p>
description: <p><span style="font-size:12.04px">The data were obtained through computer simulations.</span></p>
DOI: 10.15468/dl.zf4aey
title: Occurrence Download

description: A dataset containing 28256 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Carabus problematicus"
 ]
}

 The dataset includes 28256 records from 423 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014033-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.