cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.2tjzgc
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Coelastrum Naegeli",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((18.2339 -32.5266,18.1411 -32.657,18.1007 -32.7021,18.0224 -32.6366,17.8923 -32.6419,17.754 -32.8255,17.7723 -32.9007,20.509 -32.9007,20.509 -28.5786,16.2782 -28.5786,16.4358 -28.7202,16.726 -29.1235,17.1957 -30.3752,17.6655 -31.1743,18.1322 -31.7679,18.2495 -32.2638,18.2339 -32.5266))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0057542-250525065834625/datasets/export for details.
DOI: 10.15468/dl.jgtvsm
title: Occurrence Download

description: A dataset containing 3540 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Benin",
 "OccurrenceStatus is Present",
 "TaxonKey is Piliostigma thonningii (Schumach.) Milne-Redh."
 ]
}

 The dataset includes 3540 records from 68 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0057544-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tjrp9w
title: Occurrence Download

description: A dataset containing 3540 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Benin",
 "OccurrenceStatus is Present",
 "TaxonKey is Piliostigma thonningii (Schumach.) Milne-Redh."
 ]
}

 The dataset includes 3540 records from 68 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0057545-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pn8jss
title: Occurrence Download

description: A dataset containing 1877 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Acer grandidentatum Nutt. ex Torr. & A.Gray)",
 "StateProvince is one of (Arizona, Colorado, Idaho, Mexico Northeast, Mexico Northwest, Montana, Nevada, New Mexico, Oklahoma, Texas, Utah, Wyoming)",
 "BasisOfRecord is Specimen"
 ]
}

 The dataset includes 1877 records from 114 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0057543-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.94auks
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Chiloglanis niger Roberts, 1989",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((-23.6874 16.958,-24.4615 17.1985,-24.6665 17.5286,-25.0075 17.6984,-25.6349 17.4955,-25.8608 17.0483,-25.642 16.5416,-24.4834 16.006,-23.7746 16.1142,-23.5201 16.4576,-23.6874 16.958))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0057546-250525065834625/datasets/export for details.
DOI: 10.5281/zenodo.15699843
title: Global dataset of nitrogen pool and flux estimates

description: Dataset of global nitrogen pools and flux estimates from 1955 to 2025 (through May). Data are seperated by domain (terrestrial, aquatic, atmospheric) with an additional tab for data that were not included in the data synthesis (total inputs that were redundant of existing data or data outside the scope of the project).

The primary dataset was used to derive a global nitrogen budget, which shows data included in the nitrogen balance calculation and how "best estimates" were derived.
DOI: 10.15468/dl.n4qpkm
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Coelastrum Naegeli",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((15.6372 -28.0032,16.2782 -28.5786,20.509 -28.5786,20.509 -24.0715,15.4933 -24.0715,15.4945 -24.1257,16.0509 -25.6631,15.6372 -28.0032))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0057547-250525065834625/datasets/export for details.
DOI: 10.15468/dl.sjfm2y
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Chiloglanis niger Roberts, 1989",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((-16.8996 20.2064,-16.9237 20.0599,-16.8618 20.0599,-16.8618 22.7792,-17.2424 22.4474,-17.4477 21.9344,-17.5933 20.7331,-17.3825 20.3945,-16.8996 20.2064))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0057548-250525065834625/datasets/export for details.
DOI: 10.15468/dl.ptbk64
title: Occurrence Download

description: A dataset containing 24 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is New Caledonia",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Lepidocupania globosa (Adema) Buerki, Callm., Munzinger & Lowry"
 ]
}

 The dataset includes 24 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0057549-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ny67q2
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Coelastrum Naegeli",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((15.4784 -23.4046,15.4933 -24.0715,20.509 -24.0715,20.509 -24.0455,20.0952 -23.5072,19.9968 -23.017,19.7843 -22.5405,19.1988 -21.8785,18.5972 -21.5447,17.8859 -21.3993,17.1626 -21.4805,16.5332 -21.7596,16.1257 -22.0882,15.8234 -22.4662,15.606 -22.8993,15.4784 -23.4046))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0057550-250525065834625/datasets/export for details.
DOI: 10.5281/zenodo.15539730
title: SPOTLESS: Searching for Protoclusters through Observations Tracing Luminous Extragalactic Sources Survey

description: This repository hosts the living dataset for the SPOTLESS survey (Searching for Protoclusters through Observations Tracing Luminous Extragalactic Sources Survey), a collection of dusty star-forming galaxies (DSFGs) identified as potential protocluster signposts. Each entry in the table includes coordinates, spectroscopic redshifts, references, and multiwavelength coverage. The current version is v1.0; updates will be released periodically as new data become available or refinements are made.

The dataset is part of a forthcoming publication by J. Bhangal et al. (in prep.). Please cite this release using the DOI provided by Zenodo if using the data or figures in talks, papers, or presentations.
DOI: 10.5281/zenodo.15539731
title: SPOTLESS: Searching for Protoclusters through Observations Tracing Luminous Extragalactic Sources Survey

description: This repository hosts the living dataset for the SPOTLESS survey (Searching for Protoclusters through Observations Tracing Luminous Extragalactic Sources Survey), a collection of dusty star-forming galaxies (DSFGs) identified as potential protocluster signposts. Each entry in the table includes coordinates, spectroscopic redshifts, references, and multiwavelength coverage. The current version is v1.0; updates will be released periodically as new data become available or refinements are made.

The dataset is part of a forthcoming publication by J. Bhangal et al. (in prep.). Please cite this release using the DOI provided by Zenodo if using the data or figures in talks, papers, or presentations.
DOI: 10.15468/dl.72stsb
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Chiloglanis niger Roberts, 1989",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((-16.8783 10.9799,-16.8618 10.97,-16.8618 11.0599,-16.9054 11.0599,-16.8783 10.9799))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0057551-250525065834625/datasets/export for details.
DOI: 10.6084/m9.figshare.29318966.v1
title: <b>Historical biogeography and climatic niche dynamics in spiny lizards of the genus </b><b><i>Sceloporus </i></b><b> </b><b>(Squamata: Phrynosomatidae)</b>

description: Unraveling the drivers of species’ distributions remains a central challenge in biogeography. Integrating historical biogeography and niche evolution can accelerate our progress in this endeavor. Yet, many squamate groups remain understudied. Spiny lizards of the genus <i>Sceloporus</i> illustrate this gap, with longstanding debates about their geographic origin (temperate North America versus temperate-tropical central Mexico) and limited understanding of the relationship between their climatic niche dynamics and historical biogeography. Here, we combined phylogenetic bioregionalization, ancestral range estimation, and trait evolution analyses to test hypotheses about <i>Sceloporus</i> historical biogeography and evaluate the interplay between their interregional dispersal and climatic niche breadth and position dynamics. We found a broad origin for <i>Sceloporus</i> spanning temperate and tropical climates of North and Central America, followed by speciation in sympatry at the bioregional level. Dispersal events were largely decoupled from evolutionary shifts in niche breadth and position, indicating dispersal under niche conservatism. We underscore local extinctions and interregional dispersal as key forces shaping <i>Sceloporus</i> distributions, and provide new evidence about their geographic origin. Our findings highlight the importance of integrating ecological and biogeographic factors to understand what shapes species’ distributions and show that sympatric speciation can be an important element in squamates diversification.
DOI: 10.5285/a2519624a593402a83246bd359d098be
title: GloSATref.1.0.0.0: An observational record of global gridded near surface air temperature change over land and ocean from 1781

description: The GloSAT reference analysis (GloSATref) is a global gridded data set of air temperature change since 1781. GloSATref combines temperature series from land based meteorological stations with marine air temperature observation from ships. The use of marine air temperature (MAT) data differs from the typical use of sea-surface temperature (SST) data in global near surface temperature data sets, with the use of all-day MAT allowing the data set to extended further into the past than records based on SST. 
 
 Data are provided as air temperature anomalies relative to 1961-1990 average conditions on a 5-degree latitude by 5-degree longitude grid. Time series of average temperature changes and their uncertainties are available for the globe and for a selection of regions. The gridded data set is produced using methods developed for the HadCRUT5 ensemble global temperature data set. Data is provided as a 200-member ensemble spatially infilled “analysis” data set. A “noninfilled” version of the data set is also provided.

GloSATref uses the HadCRUT5 data processing system to produce the gridded data set, time series and uncertainty estimates.

Sources of additional information:
The following papers are provided in the related documents section with further information about GloSATref.1.0.0.0 and its underpinning data.

 Gridded dataset description:
 Morice, C. P., et al. (2025). An observational record of global gridded near surface air temperature change over land and ocean from 1781, Earth Syst. Sci. Data Discuss. https://doi.org/10.5194/essd-2024-500.

 Land station data processing:
 Taylor, M. et al. (2025, in review). GloSAT LATsdb: a global compilation of land air temperature station records with updated climatological normals from local expectation kriging. Submitted to Geoscience Data Journal.
 Wallis, E. J., et al. (2024). Quantifying exposure biases in early instrumental land surface air temperature observations. International Journal of Climatology, 44(5), 1611–1635. https://doi.org/10.1002/joc.8401

 Marine air temperature processing:
 Cropper, T. E., et al. (2023). Quantifying Daytime Heating Biases in Marine Air Temperature Observations from Ships. J. Atmos. Oceanic Technol., 40, 427–438, https://doi.org/10.1175/JTECH-D-22-0080.1.
DOI: 10.6084/m9.figshare.25348051.v1
title: Training_sc

description: This dataset contains the cell-type annotations of each scRNA-seq dataset that was used in the omnideconv benchmarking study. We do not include the count matrix files in here, they will have to be accessed from the original publications and are linked here.Each annotation file includes a table with columns for the cell barcode and their annotation, with different granularity of annotation, if available. Included datasets (and their accession codes) are:Hao (GSE164378): Hao, Y. et al. Integrated analysis of multimodal single-cell data. Cell 184, 3573–3587.e29 (2021)Maynard (PRJNA591860): Maynard, A. et al. Therapy-Induced Evolution of Human Lung Cancer Revealed by Single-Cell RNA Sequencing. Cell 182, 1232–1251.e22 (2020)Lambrechts (E-MTAB-6149, E-MTAB-6653): Lambrechts, D. et al. Phenotype molding of stromal cells in the lung tumor microenvironment. Nat. Med. 24, 1277–1289 (2018) Tabula-Muris (GSE109774): Tabula Muris Consortium et al. Single-cell transcriptomics of 20 mouse organs creates a Tabula Muris. Nature 562, 367–372 (2018)Wu (GSE176078): Wu, S. Z. et al. A single-cell and spatially resolved atlas of human breast cancers. Nat. Genet. 53, 1334–1347 (2021)
DOI: 10.5285/ef237f578329487eb02fb42f9db56bb2
title: GloSATLAT.1.0.0.0: An observational record of global surface air temperature change over land from 1781

description: GloSATLAT is a global gridded data set of surface air temperature change over land since 1781. Data are provided as air temperature anomalies relative to 1961-1990 average conditions on a 5-degree latitude by 5-degree longitude grid. Time series of average temperature changes and their uncertainties are available for the globe and for a selection of regions.
 
The gridded data set is constructed using meteorological station temperature series from the GloSATLAT station database (GloSATLAT sdb). This is an extended version of the CRUTEM5 station database. The station series include bias adjustments for non-standard thermometer enclosures in the early instrumental period, prior to the use of standard instrumental shelters (Wallis et al., 2024). New climatological normal estimates are included for stations with limited data in the 1961–1990 baseline period, estimated using the Local Expectation Kriging method (Taylor et al., 2025), allowing a larger number of station series to contribute to the gridded data set.

GloSATLAT uses the HadCRUT5 data processing system to produce the gridded data set, time series and uncertainty estimates.


Sources of additional information:
 The following papers are provided in the related documents section with further information about GloSATLAT and its underpinning data.

 Gridded dataset description:
 Morice, C. P., et al. (2025). An observational record of global gridded near surface air temperature change over land and ocean from 1781, Earth Syst. Sci. Data Discuss. https://doi.org/10.5194/essd-2024-500.

 Land station data processing:
 Taylor, M. et al. (2025, in review). GloSAT LATsdb: a global compilation of land air temperature station records with updated climatological normals from local expectation kriging. Submitted to Geoscience Data Journal.
 Wallis, E. J., et al. (2024). Quantifying exposure biases in early instrumental land surface air temperature observations. International Journal of Climatology, 44(5), 1611–1635. https://doi.org/10.1002/joc.8401
DOI: 10.25405/data.ncl.29293700
title: Context-mechanism-outcomes data of studies included in “Understanding the mechanisms of health and wellbeing interventions within workplace settings: a realist review”

description: A realist review aimed at developing middle-range realist programme theories (RPTs) to aid the understanding of mechanisms of health and wellbeing interventions within different workplace setting contexts. Data were extracted from relevant eligible studies and a narrative synthesis undertaken to code context, mechanism and outcome data to create middle-range RPTs.Context, mechanisms and outcomes were defined as follows:Context: the micro intervention context, i.e. what happened in the intervention including both omnibus (broad, encompassing) and discrete (separate, distinct) elements.Mechanism: intervention mechanism information, i.e. employer and employee perceptions of, psychological reasoning, and cognitive and emotional responses to the intervention or intervention elements.Outcomes, intervention or intervention element effects on participants (proximal, intermediate and distal outcomes) and organisations, and whether intended or unintended.
DOI: 10.25405/data.ncl.29293700.v1
title: Context-mechanism-outcomes data of studies included in “Understanding the mechanisms of health and wellbeing interventions within workplace settings: a realist review”

description: A realist review aimed at developing middle-range realist programme theories (RPTs) to aid the understanding of mechanisms of health and wellbeing interventions within different workplace setting contexts. Data were extracted from relevant eligible studies and a narrative synthesis undertaken to code context, mechanism and outcome data to create middle-range RPTs.Context, mechanisms and outcomes were defined as follows:Context: the micro intervention context, i.e. what happened in the intervention including both omnibus (broad, encompassing) and discrete (separate, distinct) elements.Mechanism: intervention mechanism information, i.e. employer and employee perceptions of, psychological reasoning, and cognitive and emotional responses to the intervention or intervention elements.Outcomes, intervention or intervention element effects on participants (proximal, intermediate and distal outcomes) and organisations, and whether intended or unintended.
DOI: 10.15468/dl.8amtd8
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Coelastrum Naegeli",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((25.5395 -28.5786,20.509 -28.5786,20.509 -32.9007,25.5395 -32.9007,25.5395 -28.5786))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0057553-250525065834625/datasets/export for details.
DOI: 10.15468/dl.m2g9az
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Chiloglanis niger Roberts, 1989",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((55.6087 -21.8876,56.1388 -21.7124,56.3374 -21.1838,56.0195 -20.5719,55.451 -20.3718,55.1382 -20.4922,55.1382 -21.6954,55.6087 -21.8876))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0057554-250525065834625/datasets/export for details.
DOI: 10.5281/zenodo.15693731
title: Artifacts for "Guidelines for Boosting Long-Lasting Free Software Contributors" [DebConf 2025 Academic Track]
DOI: 10.5281/zenodo.15699908
title: Artifacts for "Guidelines for Boosting Long-Lasting Free Software Contributors" [DebConf 2025 Academic Track]
DOI: 10.6084/m9.figshare.29318966.v2
title: <b>Historical biogeography and climatic niche dynamics in spiny lizards of the genus </b><b><i>Sceloporus </i></b><b> </b><b>(Squamata: Phrynosomatidae)</b>

description: Unraveling the drivers of species’ distributions remains a central challenge in biogeography. Integrating historical biogeography and niche evolution can accelerate our progress in this endeavor. Yet, many squamate groups remain understudied. Spiny lizards of the genus <i>Sceloporus</i> illustrate this gap, with longstanding debates about their geographic origin (temperate North America versus temperate-tropical central Mexico) and limited understanding of the relationship between their climatic niche dynamics and historical biogeography. Here, we combined phylogenetic bioregionalization, ancestral range estimation, and trait evolution analyses to test hypotheses about <i>Sceloporus</i> historical biogeography and evaluate the interplay between their interregional dispersal and climatic niche breadth and position dynamics. We found a broad origin for <i>Sceloporus</i> spanning temperate and tropical climates of North and Central America, followed by speciation in sympatry at the bioregional level. Dispersal events were largely decoupled from evolutionary shifts in niche breadth and position, indicating dispersal under niche conservatism. We underscore local extinctions and interregional dispersal as key forces shaping <i>Sceloporus</i> distributions, and provide new evidence about their geographic origin. Our findings highlight the importance of integrating ecological and biogeographic factors to understand what shapes species’ distributions and show that sympatric speciation can be an important element in squamates diversification.
DOI: 10.15468/dl.zcn696
title: Occurrence Download

description: A dataset containing 207251 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Solidago canadensis L."
 ]
}

 The dataset includes 207251 records from 1162 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0057517-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.sm3iae
title: Occurrence Download

description: A dataset containing 8218 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Rhipicephalus sanguineus Latreille, 1806"
 ]
}

 The dataset includes 8218 records from 34 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002567-180925134338326/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.