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

description: A dataset containing 210 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Strychnos elaeocarpa Gilg ex Leeuwenb."
 ]
}

 The dataset includes 210 records from 38 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041415-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gp7c8k
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Tibouchina elegans Kuntze)",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "HasGeospatialIssue is false",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Specimen)"
 ]
 }
 }
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041416-240626123714530/datasets/export for details.
DOI: 10.15468/dl.7cd2rp
title: Occurrence Download

description: A dataset containing 145 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Pleroma granulosum (Desr.) D.Don)",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "HasGeospatialIssue is false",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Specimen)"
 ]
 }
 }
 ]
}

 The dataset includes 145 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041417-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4qbu5j
title: Occurrence Download

description: A dataset containing 126 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Strychnos mimfiensis Gilg ex Leeuwenb."
 ]
}

 The dataset includes 126 records from 25 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041419-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5r9uqr
title: Occurrence Download

description: A dataset containing 36515 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Taxon occurrence data for the FungalRoot database"
 ]
}

 The dataset includes 36515 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041418-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.sc874h
title: Occurrence Download

description: A dataset containing 59 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Chaetogastra herbacea (DC.) P.J.F.Guim. & Michelang.)",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "HasGeospatialIssue is false",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Specimen)"
 ]
 }
 }
 ]
}

 The dataset includes 59 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041420-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4bywp4
title: Occurrence Download

description: A dataset containing 8012 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Country is United States of America",
 "DatasetKey is iNaturalist Research-grade Observations",
 "OccurrenceStatus is Present",
 "PublishingOrg is 28eb1a3f-1c15-4a95-931a-4af90ecb574d",
 "TaxonKey is Quercus macrocarpa Michx.",
 "Year 2019-2024"
 ]
}

 The dataset includes 8012 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041422-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25810/es52-xr23.75
title: Canadian Newspaper Coverage of Climate Change or Global Warming, 2000-2024 - June 2024

description: The Media and Climate Change Observatory Data monitors 126 sources (across newspapers, radio and TV) in 58 countries in seven different regions around the world. Data is assembled by accessing archives through the Lexis Nexis, Proquest and Factiva databases via the University of Colorado libraries. More information may be found at: http://mecco.colorado.edu.
DOI: 10.15468/dl.2t852u
title: Occurrence Download

description: A dataset containing 3166 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Bombus californicus Smith, 1854",
 "Year 1000-2014"
 ]
}

 The dataset includes 3166 records from 34 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041421-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5k5cgm
title: Occurrence Download

description: A dataset containing 675 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is one of (ARG, CHL, PRY, URY, FLK, BRA.21_1, BRA.16_1, BRA.24_1)",
 "TaxonKey is Cryptantha Lehm. ex Fisch. & C.A.Mey."
 ]
}

 The dataset includes 675 records from 26 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041423-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hdrhta
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Strychnos mimfiensis Gilg"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041424-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nc5594
title: Occurrence Download

description: A dataset containing 12 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Tibouchina longifolia (Vahl) Baill. ex Cogn.)",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "HasGeospatialIssue is false",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Specimen)"
 ]
 }
 }
 ]
}

 The dataset includes 12 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041425-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.13124433
title: gonatodes_alexandermendesi_zanfona_1.fasta.gz

description: .
DOI: 10.5281/zenodo.13124434
title: gonatodes_alexandermendesi_zanfona_1.fasta.gz

description: .
DOI: 10.15468/dl.82vyzf
title: Occurrence Download

description: A dataset containing 63 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Pleroma mutabile (Vell.) Triana)",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "HasGeospatialIssue is false",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Specimen)"
 ]
 }
 }
 ]
}

 The dataset includes 63 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041426-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25810/3hvn-ef66.45
title: Danish Newspaper Coverage of Climate Change or Global Warming, 2004-2024 - June 2024

description: The Media and Climate Change Observatory Data monitors 126 sources (across newspapers, radio and TV) in 58 countries in seven different regions around the world. Data is assembled by accessing archives through the Lexis Nexis, Proquest and Factiva databases via the University of Colorado libraries. More information may be found at: http://mecco.colorado.edu.
DOI: 10.15468/dl.xtgc5a
title: Occurrence Download

description: A dataset containing 1101 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Pleroma urvilleanum (DC.) P.J.F.Guim. & Michelang.)",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "HasGeospatialIssue is false",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Specimen)"
 ]
 }
 }
 ]
}

 The dataset includes 1101 records from 38 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041427-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xp99ma
title: Occurrence Download

description: A dataset containing 4110 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Wyethia angustifolia (DC.) Nutt."
 ]
}

 The dataset includes 4110 records from 93 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041428-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fvhb47
title: Occurrence Download

description: A dataset containing 128 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is one of (ARG, CHL, PRY, URY, FLK, BRA.21_1, BRA.16_1, BRA.24_1)",
 "TaxonKey is Ehretia P.Browne"
 ]
}

 The dataset includes 128 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041429-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.26a3dw
title: Occurrence Download

description: A dataset containing 317 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Tigridia pavonia (L.f.) DC.)",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "HasGeospatialIssue is false",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Specimen)"
 ]
 }
 }
 ]
}

 The dataset includes 317 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041430-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.12585230
title: The lateral habenula integrates age and experience to promote social transitions in developing rats
DOI: 10.5281/zenodo.13124428
title: The lateral habenula integrates age and experience to promote social transitions in developing rats
DOI: 10.15468/dl.mary3y
title: Occurrence Download

description: A dataset containing 225 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Strychnos staudtii Gilg"
 ]
}

 The dataset includes 225 records from 23 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041431-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.54xe8u
title: Occurrence Download

description: A dataset containing 19 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Heterotilapia buttikoferi (Hubrecht, 1881))",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "HasGeospatialIssue is false",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Specimen)"
 ]
 }
 }
 ]
}

 The dataset includes 19 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041432-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rtpba8
title: Occurrence Download

description: A dataset containing 122 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Strychnos zenkeri Gilg ex Baker"
 ]
}

 The dataset includes 122 records from 30 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041433-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.13122712
title: Wallops SuperDARN data in netCDF format (2024-Jan)

description: 2024-Jan Wallops SuperDARN radar data in netCDF format. These files were produced using versions 2.5 and 3.0 of the public FitACF algorithm, using the AACGM v2 coordinate system. Cite this dataset if using our data in a publication.
The RST is available here: https://github.com/SuperDARN/rst
The research enabled by SuperDARN is due to the efforts of teams of scientists and engineers working in many countries to build and operate radars, process data and provide access, develop and improve data products, and assist users in interpretation. Users of SuperDARN data and data products are asked to acknowledge this support in presentations and publications. A brief statement on how to acknowledge use of SuperDARN data is provided below.
Users are also asked to consult with a SuperDARN PI prior to submission of work intended for publication. A listing of radars and PIs with contact information can be found here: (SuperDARN Radar Overview)
Recommended form of acknowledgement for the use of SuperDARN data:
'The authors acknowledge the use of SuperDARN data. SuperDARN is a collection of radars funded by national scientific funding agencies of Australia, Canada, China, France, Italy, Japan, Norway, South Africa, United Kingdom and the United States of America.'
DOI: 10.5281/zenodo.13122713
title: Wallops SuperDARN data in netCDF format (2024-Jan)

description: 2024-Jan Wallops SuperDARN radar data in netCDF format. These files were produced using versions 2.5 and 3.0 of the public FitACF algorithm, using the AACGM v2 coordinate system. Cite this dataset if using our data in a publication.
The RST is available here: https://github.com/SuperDARN/rst
The research enabled by SuperDARN is due to the efforts of teams of scientists and engineers working in many countries to build and operate radars, process data and provide access, develop and improve data products, and assist users in interpretation. Users of SuperDARN data and data products are asked to acknowledge this support in presentations and publications. A brief statement on how to acknowledge use of SuperDARN data is provided below.
Users are also asked to consult with a SuperDARN PI prior to submission of work intended for publication. A listing of radars and PIs with contact information can be found here: (SuperDARN Radar Overview)
Recommended form of acknowledgement for the use of SuperDARN data:
'The authors acknowledge the use of SuperDARN data. SuperDARN is a collection of radars funded by national scientific funding agencies of Australia, Canada, China, France, Italy, Japan, Norway, South Africa, United Kingdom and the United States of America.'
DOI: 10.15468/dl.tmw5rd
title: Occurrence Download

description: A dataset containing 1242 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is one of (ARG, CHL, PRY, URY, FLK, BRA.21_1, BRA.16_1, BRA.24_1)",
 "TaxonKey is Euploca Nutt."
 ]
}

 The dataset includes 1242 records from 40 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041434-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.13124244
title: Preprocessed EUMETSAT H-SAF h61 Satellite and ECMWF HRES 24h Forecast Precipitation Datasets for Hydrometeorological Applications over Central Europe

description: This dataset contains preprocessed precipitation data from the ECMWF's high resolution HRES forecast (24h) and EUMETSAT's blended infrared and microwave remotely sensed data for use in hydrological and meteorological research. * Preprocessing procedure and codes are accessible here for HRES, and here for H-SAF datasets.

HRES Data (HRES_pr.nc):



Source: ECMWF's high-resolution, deterministic HRES 24-hour precipitation forecast at 12UTC.

Resolution and domain: 0.1° × 0.1° grid in (longmin: -1.1, longmax: 18.4, latmin: 44.1, latmax: 56.5)

Preprocessing Steps:



Extracted the precipitation variable (tp) out of variables.

Converted precipitation units from meters (m) to millimeters (mm).

Changed cumulative precipitation to instantaneous.

Selected the first 24 hours of forecast data from the available 90-hour forecasts.

Merged all processed files into a single NetCDF file.




H-SAF Data (HSAF_pr.nc):



Source: EUMETSAT's H-SAF h61B

Resolution and domain: Original product: ~4.8 km at nadir, ~8km in Europe; preprocessed product: resampled to 0.1° × 0.1° (~10 km) grid in (longmin: -1.1, longmax: 18.4, latmin: 44.1, latmax: 56.5).

Preprocessing Steps:



Trimmed the MSG coverage data to cover the study domain.

Calculated the grid correspondance using lat/lon information from MSG grid using a reference method.

Merged all processed files into a single NetCDF file.

Regridded the data to the 0.1° × 0.1° resolution using bilinear function in CDO




Data Period: 01/07/2020-25/04/2023
DOI: 10.5281/zenodo.13124245
title: Preprocessed EUMETSAT H-SAF h61 Satellite and ECMWF HRES 24h Forecast Precipitation Datasets for Hydrometeorological Applications over Central Europe

description: This dataset contains preprocessed precipitation data from the ECMWF's high resolution HRES forecast (24h) and EUMETSAT's blended infrared and microwave remotely sensed data for use in hydrological and meteorological research. * Preprocessing procedure and codes are accessible here for HRES, and here for H-SAF datasets.

HRES Data (HRES_pr.nc):



Source: ECMWF's high-resolution, deterministic HRES 24-hour precipitation forecast at 12UTC.

Resolution and domain: 0.1° × 0.1° grid in (longmin: -1.1, longmax: 18.4, latmin: 44.1, latmax: 56.5)

Preprocessing Steps:



Extracted the precipitation variable (tp) out of variables.

Converted precipitation units from meters (m) to millimeters (mm).

Changed cumulative precipitation to instantaneous.

Selected the first 24 hours of forecast data from the available 90-hour forecasts.

Merged all processed files into a single NetCDF file.




H-SAF Data (HSAF_pr.nc):



Source: EUMETSAT's H-SAF h61B

Resolution and domain: Original product: ~4.8 km at nadir, ~8km in Europe; preprocessed product: resampled to 0.1° × 0.1° (~10 km) grid in (longmin: -1.1, longmax: 18.4, latmin: 44.1, latmax: 56.5).

Preprocessing Steps:



Trimmed the MSG coverage data to cover the study domain.

Calculated the grid correspondance using lat/lon information from MSG grid using a reference method.

Merged all processed files into a single NetCDF file.

Regridded the data to the 0.1° × 0.1° resolution using bilinear function in CDO




Data Period: 01/07/2020-25/04/2023
DOI: 10.5281/zenodo.13122760
title: Wallops SuperDARN data in netCDF format (2024-Feb)

description: 2024-Feb Wallops SuperDARN radar data in netCDF format. These files were produced using versions 2.5 and 3.0 of the public FitACF algorithm, using the AACGM v2 coordinate system. Cite this dataset if using our data in a publication.
The RST is available here: https://github.com/SuperDARN/rst
The research enabled by SuperDARN is due to the efforts of teams of scientists and engineers working in many countries to build and operate radars, process data and provide access, develop and improve data products, and assist users in interpretation. Users of SuperDARN data and data products are asked to acknowledge this support in presentations and publications. A brief statement on how to acknowledge use of SuperDARN data is provided below.
Users are also asked to consult with a SuperDARN PI prior to submission of work intended for publication. A listing of radars and PIs with contact information can be found here: (SuperDARN Radar Overview)
Recommended form of acknowledgement for the use of SuperDARN data:
'The authors acknowledge the use of SuperDARN data. SuperDARN is a collection of radars funded by national scientific funding agencies of Australia, Canada, China, France, Italy, Japan, Norway, South Africa, United Kingdom and the United States of America.'
DOI: 10.5281/zenodo.13122761
title: Wallops SuperDARN data in netCDF format (2024-Feb)

description: 2024-Feb Wallops SuperDARN radar data in netCDF format. These files were produced using versions 2.5 and 3.0 of the public FitACF algorithm, using the AACGM v2 coordinate system. Cite this dataset if using our data in a publication.
The RST is available here: https://github.com/SuperDARN/rst
The research enabled by SuperDARN is due to the efforts of teams of scientists and engineers working in many countries to build and operate radars, process data and provide access, develop and improve data products, and assist users in interpretation. Users of SuperDARN data and data products are asked to acknowledge this support in presentations and publications. A brief statement on how to acknowledge use of SuperDARN data is provided below.
Users are also asked to consult with a SuperDARN PI prior to submission of work intended for publication. A listing of radars and PIs with contact information can be found here: (SuperDARN Radar Overview)
Recommended form of acknowledgement for the use of SuperDARN data:
'The authors acknowledge the use of SuperDARN data. SuperDARN is a collection of radars funded by national scientific funding agencies of Australia, Canada, China, France, Italy, Japan, Norway, South Africa, United Kingdom and the United States of America.'
DOI: 10.15468/dl.ssut82
title: Occurrence Download

description: A dataset containing 1284 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Pelmatolapia mariae (Boulenger, 1899))",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "HasGeospatialIssue is false",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Specimen)"
 ]
 }
 }
 ]
}

 The dataset includes 1284 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041435-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25810/fx6e-r462.63
title: European Newspaper Coverage of Climate Change or Global Warming, 2004-2024 - June 2024

description: The Media and Climate Change Observatory Data monitors 126 sources (across newspapers, radio and TV) in 58 countries in seven different regions around the world. Data is assembled by accessing archives through the Lexis Nexis, Proquest and Factiva databases via the University of Colorado libraries. More information may be found at: http://mecco.colorado.edu.
DOI: 10.15468/dl.p6wvbt
title: Occurrence Download

description: A dataset containing 53 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Tilia americana var. heterophylla (Vent.) Loudon)",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "HasGeospatialIssue is false",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Specimen)"
 ]
 }
 }
 ]
}

 The dataset includes 53 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041436-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.19175699
title: RoE Wild Plants

description: Statistical codes and data used for analysis
DOI: 10.6084/m9.figshare.19175699.v1
title: RoE Wild Plants

description: Statistical codes and data used for analysis