cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.g4gzrz
title: Occurrence Download

description: A dataset containing 18 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pinus radiata",
 "Country is Bolivia (Plurinational State of)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 18 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0039257-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vu5hfm
title: Occurrence Download

description: A dataset containing 614 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ascidiella aspersa",
 "Country is Canada",
 "HasCoordinate is true"
 ]
}

 The dataset includes 614 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0039260-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fweumu
title: Occurrence Download

description: A dataset containing 20869 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Certhia familiaris",
 "MediaType is Image"
 ]
}

 The dataset includes 20869 records from 32 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0039261-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.55yaud
title: Occurrence Download

description: A dataset containing 92 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Nodipecten nodosus",
 "Year 2000-2025"
 ]
}

 The dataset includes 92 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0039264-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.16023088
title: Present and future trends of extreme short-term rainfall events in Germany, by downscaling convective environments of ERA5 and a CMIP6 ensemble

description: For the four main quadrant regions of Germany we study the possibility of projecting the occurrence of extreme convective rainfall cells, as monitored by the CatRaRE database, into the future, based on CMIP6 projections of corresponding convective environments. We characterize such environments by using the atmospheric profile derivates convective available potential energy (cape) and convective inhibition (cin), along with model-simulated convective precipitation (cp). The convective environments are linked to the small-scale CatRaRE events by classifying the corresponding ERA5 fields according to the concurrent occurrence of such events. Classifiers are conventional machine-learning procedures along with more modern deep learning schemes. Positive centennial trends are identified for both antagonists cape and cin, serving as a source for large uncertainties of the corresponding CatRaRE-type trends. Their full distribution is analyzed using ANOVA, based on the factors of event severity, greenhouse gas emissions, climate models, classifiers, and region. Beyond all uncertainty, positive trends outweigh the negative ones for all regions.
DOI: 10.5281/zenodo.16023089
title: Present and future trends of extreme short-term rainfall events in Germany, by downscaling convective environments of ERA5 and a CMIP6 ensemble

description: For the four main quadrant regions of Germany we study the possibility of projecting the occurrence of extreme convective rainfall cells, as monitored by the CatRaRE database, into the future, based on CMIP6 projections of corresponding convective environments. We characterize such environments by using the atmospheric profile derivates convective available potential energy (cape) and convective inhibition (cin), along with model-simulated convective precipitation (cp). The convective environments are linked to the small-scale CatRaRE events by classifying the corresponding ERA5 fields according to the concurrent occurrence of such events. Classifiers are conventional machine-learning procedures along with more modern deep learning schemes. Positive centennial trends are identified for both antagonists cape and cin, serving as a source for large uncertainties of the corresponding CatRaRE-type trends. Their full distribution is analyzed using ANOVA, based on the factors of event severity, greenhouse gas emissions, climate models, classifiers, and region. Beyond all uncertainty, positive trends outweigh the negative ones for all regions.
DOI: 10.15468/dl.cxb5wr
title: Occurrence Download

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

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0039262-250717081556266/datasets/export for details.
DOI: 10.5281/zenodo.16411463
title: Invader photosynthesis and leaf nitrogen allocation in France, Japan, and the USA: dataset and R code

description: All data and R code necessary for running analyses associated with Griffin-Nolan et al. Version 2 has added metadata describing leaf trait columns.
DOI: 10.6084/m9.figshare.24393670
title: Individual-level biomass data from a fire and plant dominance experiment involving native and invasive species

description: This dataset contains individual-level biomass measurements collected in a controlled experiment designed to assess the effects of fire and species dominance on plant performance and competitive interactions between native and invasive species. The experiment included three dominance treatments: monoculture (mono), native dominance (30% <i>Urochloa arrecta</i>), and invasive dominance (70% <i>Urochloa arrecta</i>), and two time points: before and after a fire event.Each row represents a single plant individual, including data on species identity, total, shoot, and root biomass, shoot-to-root ratio, initial propagule weight at planting, and net biomass gain (total biomass minus propagule weight).This dataset can be used to analyze biomass allocation, plant growth responses to fire, and competition dynamics between native and invasive species.
DOI: 10.6084/m9.figshare.24393670.v1
title: Individual-level biomass data from a fire and plant dominance experiment involving native and invasive species

description: This dataset contains individual-level biomass measurements collected in a controlled experiment designed to assess the effects of fire and species dominance on plant performance and competitive interactions between native and invasive species. The experiment included three dominance treatments: monoculture (mono), native dominance (30% <i>Urochloa arrecta</i>), and invasive dominance (70% <i>Urochloa arrecta</i>), and two time points: before and after a fire event.Each row represents a single plant individual, including data on species identity, total, shoot, and root biomass, shoot-to-root ratio, initial propagule weight at planting, and net biomass gain (total biomass minus propagule weight).This dataset can be used to analyze biomass allocation, plant growth responses to fire, and competition dynamics between native and invasive species.
DOI: 10.15468/dl.3cmbw7
title: Occurrence Download

description: A dataset containing 2288 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Epilobium pseudorubescens",
 "Country is Russian Federation",
 "HasCoordinate is true"
 ]
}

 The dataset includes 2288 records from 21 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0039266-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8pj65z
title: Occurrence Download

description: A dataset containing 58 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is South Africa",
 "TaxonKey is Gryllodes sigillatus"
 ]
}

 The dataset includes 58 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0039268-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.16411367
title: High temperatures and workplace injuries

description: The files:

One STATA do-file replicating tables and graphs in the publication in Empirical Economics (2025) entitled "High Temperatures and Workplace Injuries".

Two STATA data files needed when executing the STATA do-file.
DOI: 10.5281/zenodo.16411368
title: High temperatures and workplace injuries

description: The files:

One STATA do-file replicating tables and graphs in the publication in Empirical Economics (2025) entitled "High Temperatures and Workplace Injuries".

Two STATA data files needed when executing the STATA do-file.
DOI: 10.15468/dl.4swgu6
title: Occurrence Download

description: A dataset containing 1205 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cercotrichas galactotes",
 "MediaType is Image"
 ]
}

 The dataset includes 1205 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0039269-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15131/shef.data.25896607
title: Folk Singing Survey: Data

description: Access Folk is a research project exploring ways to increase and diversify participation in folk singing in England. Like many in the arts, the folk scene is facing hardship because the impacts of covid-19 and the current economic climate are affecting venues, organisers, amateur and professional singers and audience members alike. These issues, combined with the ageing of many of the scene’s key activists, raises questions about how the folk singing scene in England might develop over the coming decades. At University of Sheffield, a team of academic and community partners are looking into the current problems and testing potential solutions. The five-year project (2022-2027) hopes to prompt action to help increase accessibility to folk singing for more diverse populations in England.This submission includes data from a large scale survey which gathered information from folk singers and organisers about their demographics and experiences of folk singing. A PDF overview report gives a top level analysis, and all the sharable data is included in an open access spreadsheet. An additional document provides information about the anonymising process.A new version of the dataset file is being prepared as there are formatting issues with the fileThe survey was approved by the University of Sheffield ethical review process: 051380All the available items arising from the project are available in the Access Folk Collection.<br><br>
DOI: 10.15131/shef.data.25896607.v2
title: Folk Singing Survey: Data

description: Access Folk is a research project exploring ways to increase and diversify participation in folk singing in England. Like many in the arts, the folk scene is facing hardship because the impacts of covid-19 and the current economic climate are affecting venues, organisers, amateur and professional singers and audience members alike. These issues, combined with the ageing of many of the scene’s key activists, raises questions about how the folk singing scene in England might develop over the coming decades. At University of Sheffield, a team of academic and community partners are looking into the current problems and testing potential solutions. The five-year project (2022-2027) hopes to prompt action to help increase accessibility to folk singing for more diverse populations in England.This submission includes data from a large scale survey which gathered information from folk singers and organisers about their demographics and experiences of folk singing. A PDF overview report gives a top level analysis, and all the sharable data is included in an open access spreadsheet. An additional document provides information about the anonymising process.A new version of the dataset file is being prepared as there are formatting issues with the fileThe survey was approved by the University of Sheffield ethical review process: 051380All the available items arising from the project are available in the Access Folk Collection.<br><br>
DOI: 10.15131/shef.data.25896607.v1
title: Access Folk Singing Survey

description: Access Folk is a research project exploring ways to increase and diversify participation in folk singing in England. Like many in the arts, the folk scene is facing hardship because the impacts of covid-19 and the current economic climate are affecting venues, organisers, amateur and professional singers and audience members alike. These issues, combined with the ageing of many of the scene’s key activists, raises questions about how the folk singing scene in England might develop over the coming decades. At University of Sheffield, a team of academic and community partners are looking into the current problems and testing potential solutions. The five-year project (2022-2027) hopes to prompt action to help increase accessibility to folk singing for more diverse populations in England.This submission includes data from a large scale survey which gathered information from folk singers and organisers about their demographics and experiences of folk singing. A PDF overview report gives a top level analysis, and all the sharable data is included in an open access spreadsheet.The survey was approved by the University of Sheffield ethical review process: 051380All the available items arising from the project are available in the Access Folk Collection.<br><br>
DOI: 10.15468/dl.x9f5cj
title: Occurrence Download

description: A dataset containing 695 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Inula helenium",
 "Country is Belgium",
 "HasCoordinate is true"
 ]
}

 The dataset includes 695 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0039270-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.azqc3n
title: Occurrence Download

description: A dataset containing 13 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Material sample)"
 ]
 }
 },
 "TaxonKey is Ficus artocarpoides",
 "Continent is one of (Africa)",
 "Year is greater than or equal to 1900"
 ]
}

 The dataset includes 13 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0039272-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.34xt6p
title: Occurrence Download

description: A dataset containing 43476 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Sambucus canadensis"
 ]
}

 The dataset includes 43476 records from 411 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0039267-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.4121/0e146396-715f-43fa-b571-89feb2906d06
title: Test Data of Actuator-Nonlinear Dynamic Inversion for Systems with Heterogeneous Actuator Dynamics: A Superior Alternative to Incremental Nonlinear Dynamic Inversion

description: This dataset accompanies the paper titled "Actuator-Nonlinear Dynamic Inversion for Systems with Heterogeneous Actuator Dynamics: A Superior Alternative to Incremental Nonlinear Dynamic Inversion.". It includes flight test data, simulation data, post-processing scripts, and derivations. The ANDI controller is demonstrated to be superior in controlling systems with heterogeneus actuator dynamics. The flight test are performed on the Variable Skew Quad Plane.
DOI: 10.4121/0e146396-715f-43fa-b571-89feb2906d06.v1
title: Test Data of Actuator-Nonlinear Dynamic Inversion for Systems with Heterogeneous Actuator Dynamics: A Superior Alternative to Incremental Nonlinear Dynamic Inversion

description: This dataset accompanies the paper titled "Actuator-Nonlinear Dynamic Inversion for Systems with Heterogeneous Actuator Dynamics: A Superior Alternative to Incremental Nonlinear Dynamic Inversion.". It includes flight test data, simulation data, post-processing scripts, and derivations. The ANDI controller is demonstrated to be superior in controlling systems with heterogeneus actuator dynamics. The flight test are performed on the Variable Skew Quad Plane.
DOI: 10.15468/dl.ucjybu
title: Occurrence Download

description: A dataset containing 12107 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Charadrius alexandrinus",
 "MediaType is Image"
 ]
}

 The dataset includes 12107 records from 36 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0039271-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.82261/s8nv-yf50
title: Epigraphic Database Vernacular
title: EDV
DOI: 10.15468/dl.gupua6
title: Occurrence Download

description: A dataset containing 255 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is South Africa",
 "TaxonKey is Clogmia albipunctatus"
 ]
}

 The dataset includes 255 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0039273-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xgxapd
title: Occurrence Download

description: A dataset containing 1548395 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Human Observation, Machine Observation, Occurrence evidence, Observation)",
 "TaxonKey is one of (Larus californicus)",
 "Country is one of (Bermuda, Canada, Greenland, Saint Pierre and Miquelon, United States of America)"
 ]
}

 The dataset includes 1548395 records from 35 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0039240-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6tejme
title: Occurrence Download

description: A dataset containing 2721 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pinus radiata",
 "Country is New Zealand",
 "HasCoordinate is true"
 ]
}

 The dataset includes 2721 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0039274-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zqpkhb
title: Occurrence Download

description: A dataset containing 616 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Sambucus peruviana"
 ]
}

 The dataset includes 616 records from 53 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0039276-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.43bdub
title: Occurrence Download

description: A dataset containing 1073 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pinus radiata",
 "Country is South Africa",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1073 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0039275-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ghucad
title: Occurrence Download

description: A dataset containing 10345 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Pecten maximus",
 "Year 2000-2025"
 ]
}

 The dataset includes 10345 records from 105 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0039277-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.furbsg
title: Occurrence Download

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

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0039280-250717081556266/datasets/export for details.
DOI: 10.15468/dl.yq5xfc
title: Occurrence Download

description: A dataset containing 87 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is South Africa",
 "TaxonKey is Hellula undalis"
 ]
}

 The dataset includes 87 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0039281-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.z2mqhy
title: Occurrence Download

description: A dataset containing 14 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Inula helenium",
 "Country is Bulgaria",
 "HasCoordinate is true"
 ]
}

 The dataset includes 14 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0039278-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6z84qf
title: Occurrence Download

description: A dataset containing 30167 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Certhia brachydactyla",
 "MediaType is Image"
 ]
}

 The dataset includes 30167 records from 28 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0039279-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.uwc2aj
title: Occurrence Download

description: A dataset containing 43173 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Charadrius hiaticula",
 "MediaType is Image"
 ]
}

 The dataset includes 43173 records from 53 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0039284-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.grrqtu
title: Occurrence Download

description: A dataset containing 186 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Botryllus schlosseri",
 "Country is Australia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 186 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0039282-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25574/29890
title: Chandra X-ray Observatory ObsId 29890

description: Black holes in compact stellar clusters: dynamical JWST measurements of black holes in concert with Chandra and VLA