cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.kq4gc6
title: Occurrence Download

description: A dataset containing 4022 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Folsomia candida, Hypogastrura socialis, Entomobrya nicoleti, Sminthurus viridis)",
 "OccurrenceStatus is one of (Present)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil)"
 ]
 }
 },
 "Year is greater than or equal to 1970"
 ]
}

 The dataset includes 4022 records from 169 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020357-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gwbw34
title: Occurrence Download

description: A dataset containing 88 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-88.08766 21.8052,-90.23684 21.46323,-90.81771 20.63201,-91.14686 19.43145,-92.57965 18.82779,-92.75391 18.38739,-92.07624 17.54017,-91.47602 17.00399,-90.79834 17.13356,-90.68217 17.614,-88.92022 17.63245,-87.48743 17.76157,-86.40316 20.26918,-86.75167 21.84115,-87.58424 22.02076,-88.08766 21.8052))",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Cribroheros robertsoni (Regan, 1905)",
 "Year 2000-2025"
 ]
}

 The dataset includes 88 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011523-250415084134356/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7gc342
title: Occurrence Download

description: A dataset containing 14497 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Colombia",
 "TaxonKey is Pieridae"
 ]
}

 The dataset includes 14497 records from 141 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011524-250415084134356/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.q89msd
title: Occurrence Download

description: A dataset containing 64 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "TaxonKey is Stylochus ellipticus (Girard, 1850)",
 {
 "or" : [
 "CoordinateUncertaintyInMeters is less than 10000",
 "CoordinateUncertaintyInMeters is null"
 ]
 }
 ]
}

 The dataset includes 64 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003392-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.h749ad
title: Occurrence Download

description: A dataset containing 1196 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Trigona chanchamayoensis Schwarz, 1948"
 ]
}

 The dataset includes 1196 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003393-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7af4t2
title: Occurrence Download

description: A dataset containing 1576 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Bathytoshia centroura (Mitchill, 1815)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1576 records from 44 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003390-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.udxy7g
title: Occurrence Download

description: A dataset containing 13622 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Lampropeltis getula"
 ]
}

 The dataset includes 13622 records from 133 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046164-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gervts
title: Occurrence Download

description: A dataset containing 6 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((-113.8188 29.84913, -113.6688 29.84913, -113.6688 29.99913, -113.8188 29.99913, -113.8188 29.84913))"
 ]
}

 The dataset includes 6 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046165-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.1184/r1/28653392
title: Source data for the manuscript "A small periplasmic protein governs broad physiological adaptations in <i>Vibrio cholerae</i> via regulation of the DbfRS two-component system"

description: Source data associated with figures for the manuscript "A small periplasmic protein governs broad physiological adaptations in <i>Vibrio cholerae</i> via regulation of the DbfRS two-component system"
DOI: 10.1184/r1/28653392.v2
title: Source data for the manuscript "A small periplasmic protein governs broad physiological adaptations in <i>Vibrio cholerae</i> via regulation of the DbfRS two-component system"

description: Source data associated with figures for the manuscript "A small periplasmic protein governs broad physiological adaptations in <i>Vibrio cholerae</i> via regulation of the DbfRS two-component system"
DOI: 10.1184/r1/28653392.v1
title: Source data for the manuscript "A small periplasmic protein governs broad physiological adaptations in <i>Vibrio cholerae</i> via regulation of the DbfRS two-component system"

description: Source data associated with figures for the manuscript "A small periplasmic protein governs broad physiological adaptations in <i>Vibrio cholerae</i> via regulation of the DbfRS two-component system"
DOI: 10.15468/dl.v76ezf
title: Occurrence Download

description: A dataset containing 38 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((-113.6688 29.84913, -113.5188 29.84913, -113.5188 29.99913, -113.6688 29.99913, -113.6688 29.84913))"
 ]
}

 The dataset includes 38 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046166-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17153210
title: Fatality Analysis Reporting System (FARS) Processed Data – rfars

description: The Fatality Analysis Reporting System (FARS) is a nationwide census of all U.S. motor vehicle crashes resulting in a fatality, maintained by the National Highway Traffic Safety Administration (NHTSA). While the raw FARS data are publicly available, they are distributed in formats that require significant preprocessing before analysis. This dataset provides a processed version of the FARS database (2014-2023), optimized for immediate use in R, Python, Excel, and other modern data tools. It was prepared using the rfars R package, enabling researchers, policymakers, and educators to access and analyze fatal crash data more efficiently and reproducibly.

This dataset is provided in two different file formats to support a wide range of users and analysis environments:



CSV (.csv) - a plain text format, with each of the five tables saved separately. These files are the most universally compatible and can be opened directly in Excel.

RDS (.rds) - a native R format containing the full dataset as a list of the five related tables (flat, multi_acc, multi_veh, multi_per, events, and codebook). This version is recommended for R users, since it can be loaded in one step with readRDS() and preserves all variable types exactly as processed.


If you are new to crash data or limited in data analysis resources, fars_flat.csv is the best starting point, via Excel.

See also: Crash Report Sampling System (CRSS) Processed Data – rfars
DOI: 10.5281/zenodo.17581440
title: Fatality Analysis Reporting System (FARS) Processed Data – rfars

description: The Fatality Analysis Reporting System (FARS) is a nationwide census of all U.S. motor vehicle crashes resulting in a fatality, maintained by the National Highway Traffic Safety Administration (NHTSA). While the raw FARS data are publicly available, they are distributed in formats that require significant preprocessing before analysis. This dataset provides a processed version of the FARS database (2014-2023), optimized for immediate use in R, Python, Excel, and other modern data tools. It was prepared using the rfars R package, enabling researchers, policymakers, and educators to access and analyze fatal crash data more efficiently and reproducibly.

This dataset is provided in two different file formats to support a wide range of users and analysis environments:



CSV (.csv) - a plain text format, with each of the five tables saved separately. These files are the most universally compatible and can be opened directly in Excel.

RDS (.rds) - a native R format containing the full dataset as a list of the five related tables (flat, multi_acc, multi_veh, multi_per, events, and codebook). This version is recommended for R users, since it can be loaded in one step with readRDS() and preserves all variable types exactly as processed.


If you are new to crash data or limited in data analysis resources, fars_flat.csv is the best starting point, via Excel.

See also: Crash Report Sampling System (CRSS) Processed Data – rfars
DOI: 10.5281/zenodo.16032313
title: ReESH_US-Var: Vaira Ranch- Ione

description: Regional Ecosystem Soil Hydraulics (ReESH) Project:US-Var: Vaira Ranch- Ione AmeriFlux Site

The ReESH Database includes soil characteristics of soil samples and corresponding soil water retention curves, which enable the conversion of soil water content to soil water potential.

Database Files: 1) Soil Characteristics:

"Site" -- Site Name (AmeriFlux Site Code)"Sample_ID" -- Unique Sample Identifier "Sampling_Date" -- Date of Sample Collection (YYYY-MM-DD)"Latitude" -- Site Latitude"Longitude" -- Site Longitude"Veg" -- International Geosphere-Biosphere Program (IGBP) "Depth_cm" -- Sample Collection Depth (cm)"Depth" -- Sample Collection Depth (cm)"CLAY" -- Percent Clay (%)"SILT" -- Percent Silt (%)"SAND" -- Percent Sand (%)"RootBiomass_g" -- Fine Root biomass (g per 250mL soil)"Pct_OM" -- Percent Organic Matter (%)"Bulk_Den_g_m3" -- Sample Bulk Density (g m^-3)"Med_KsSoil_m_s" -- Median Saturated Hydraulic Conductivity (m s^-1) -minimum three replicates"Min_KsSoil_m_s" -- Minimum Saturated Hydraulic Conductivity (m s^-1) -minimum three replicates"Max_KsSoil_m_s" -- Maximum Saturated Hydraulic Conductivity (m s^-1) -minimum three replicates"SD_KsSoil_m_s" -- Standard Deviation in Saturated Hydraulic Conductivity (m s^-1) -minimum three replicates"KS_Soil_Flag" -- QAQC flags for Saturated Hydraulic Conductivity measurements (0==good; 1==suspect and use with caution)

2) Soil Water Retention Curves:"Site" -- Site Name (AmeriFlux Site Code)"Sample_ID" -- Unique Sample Identifier "Plot" -- Site Personnel Defined Pit Identifier "Depth_cm" -- Sample Collection Depth (cm)"MPa_Abs" -- Sample Water Potential (-MPa)"Vol_Water" -- Sample Water Content (%)"Hypropfilter" -- Instrument Code (1==WP4C; 2==HyProp)"Sampling_Date" -- Date of Sample Collection (YYYY-MM-DD)"Bulk_Den_g_m3" -- Sample Bulk Density (g m^-3)
DOI: 10.5281/zenodo.16032314
title: ReESH_US-Var: Vaira Ranch- Ione

description: Regional Ecosystem Soil Hydraulics (ReESH) Project:US-Var: Vaira Ranch- Ione AmeriFlux Site

The ReESH Database includes soil characteristics of soil samples and corresponding soil water retention curves, which enable the conversion of soil water content to soil water potential.

Database Files: 1) Soil Characteristics:

"Site" -- Site Name (AmeriFlux Site Code)"Sample_ID" -- Unique Sample Identifier "Sampling_Date" -- Date of Sample Collection (YYYY-MM-DD)"Latitude" -- Site Latitude"Longitude" -- Site Longitude"Veg" -- International Geosphere-Biosphere Program (IGBP) "Depth_cm" -- Sample Collection Depth (cm)"Depth" -- Sample Collection Depth (cm)"CLAY" -- Percent Clay (%)"SILT" -- Percent Silt (%)"SAND" -- Percent Sand (%)"RootBiomass_g" -- Fine Root biomass (g per 250mL soil)"Pct_OM" -- Percent Organic Matter (%)"Bulk_Den_g_m3" -- Sample Bulk Density (g m^-3)"Med_KsSoil_m_s" -- Median Saturated Hydraulic Conductivity (m s^-1) -minimum three replicates"Min_KsSoil_m_s" -- Minimum Saturated Hydraulic Conductivity (m s^-1) -minimum three replicates"Max_KsSoil_m_s" -- Maximum Saturated Hydraulic Conductivity (m s^-1) -minimum three replicates"SD_KsSoil_m_s" -- Standard Deviation in Saturated Hydraulic Conductivity (m s^-1) -minimum three replicates"KS_Soil_Flag" -- QAQC flags for Saturated Hydraulic Conductivity measurements (0==good; 1==suspect and use with caution)

2) Soil Water Retention Curves:"Site" -- Site Name (AmeriFlux Site Code)"Sample_ID" -- Unique Sample Identifier "Plot" -- Site Personnel Defined Pit Identifier "Depth_cm" -- Sample Collection Depth (cm)"MPa_Abs" -- Sample Water Potential (-MPa)"Vol_Water" -- Sample Water Content (%)"Hypropfilter" -- Instrument Code (1==WP4C; 2==HyProp)"Sampling_Date" -- Date of Sample Collection (YYYY-MM-DD)"Bulk_Den_g_m3" -- Sample Bulk Density (g m^-3)
DOI: 10.5281/zenodo.17155802
title: Crash Report Sampling System (CRSS) Processed Data – rfars

description: The General Estimates System (GES), redesigned as the Crash Report Sampling System (CRSS) in 2016, is a nationally representative sample of police-reported motor vehicle crashes in the U.S., maintained by the National Highway Traffic Safety Administration (NHTSA). While the raw GES/CRSS data are publicly available, they are distributed in formats that require significant preprocessing before analysis. This dataset provides a processed version of the GES/CRSS database (2014-2023), optimized for immediate use in R, Python, Excel, and other modern data tools. It was prepared by the rfars R package, enabling researchers, policymakers, and educators to access and analyze crash data more efficiently and reproducibly.

This dataset is provided in two different file formats to support a wide range of users and analysis environments:



CSV (.csv) - a plain text format, with each of the five tables saved separately. These files are the most universally compatible and can be opened directly in Excel, though they are larger.

RDS (.rds) - a native R format containing the full dataset as a list of five related tables (accident, vehicle, person, drugs, distract). This version is recommended for R users, since it can be loaded in one step with readRDS() and preserves all variable types exactly as processed.


If you are new to crash data or limited in data analysis resources, gescrss_flat.csv is the best starting point, via Excel.

See also: Fatality Analysis Reporting System (FARS) Processed Data – rfars
DOI: 10.5281/zenodo.17581418
title: Crash Report Sampling System (CRSS) Processed Data – rfars

description: The General Estimates System (GES), redesigned as the Crash Report Sampling System (CRSS) in 2016, is a nationally representative sample of police-reported motor vehicle crashes in the U.S., maintained by the National Highway Traffic Safety Administration (NHTSA). While the raw GES/CRSS data are publicly available, they are distributed in formats that require significant preprocessing before analysis. This dataset provides a processed version of the GES/CRSS database (2014-2023), optimized for immediate use in R, Python, Excel, and other modern data tools. It was prepared by the rfars R package, enabling researchers, policymakers, and educators to access and analyze crash data more efficiently and reproducibly.

This dataset is provided in two different file formats to support a wide range of users and analysis environments:



CSV (.csv) - a plain text format, with each of the five tables saved separately. These files are the most universally compatible and can be opened directly in Excel, though they are larger.

RDS (.rds) - a native R format containing the full dataset as a list of five related tables (accident, vehicle, person, drugs, distract). This version is recommended for R users, since it can be loaded in one step with readRDS() and preserves all variable types exactly as processed.


If you are new to crash data or limited in data analysis resources, gescrss_flat.csv is the best starting point, via Excel.

See also: Fatality Analysis Reporting System (FARS) Processed Data – rfars
DOI: 10.5066/p13heuf3
title: Whole rock geochemical data from Arizona porphyry mineral systems (2024)

description: This report includes whole rock geochemical data from a newly collected suite of samples from igneous systems across Arizona. The data release includes samples collected in calendar year 2024 that support an ongoing, multi-year project dedicated to characterizing magmatic porphyry systems toward understanding possible basement influence on porphyry style mineralization. This preliminary dataset includes samples from basement host rocks, plutonic rocks, and associated mineralized/barren porphyries from across the state. The release includes two spreadsheets (as csv files). The first sheet (Whole Rock Data.csv) includes the sample identification information (i.e., sampling locations, mapped geologic units, rock type) as well as the results of major and trace element geochemical analysis determined by wavelength-dispersive X-ray fluorescence and inductively coupled plasma-optical emission spectroscopy, respectively. The second spreadsheet (Reporting Limits.csv) includes the reporting limit thresholds for each element and oxide weight percent that was measured by both analytical methods. Empty cells in the "Whole Rock Data.csv" spreadsheet indicate measurements fell above or below the respective reporting limit thresholds.
DOI: 10.15468/dl.6njbfc
title: Occurrence Download

description: A dataset containing 37 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Canada",
 "Geometry POLYGON((-73.59141 45.51282,-73.58507 45.51282,-73.58507 45.51681,-73.59141 45.51681,-73.59141 45.51282))",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Sapindales"
 ]
}

 The dataset includes 37 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046167-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5rdnv2
title: Occurrence Download

description: A dataset listing the 389 species recorded in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "PublishingCountry is Colombia",
 {
 "and" : [
 "Country is Colombia",
 {
 "not" : {
 "Issue" : [
 "is Country coordinate mismatch"
 ]
 }
 }
 ]
 }
 ]
 },
 "Geometry POLYGON((-76.12421317868522 4.541112890978184,-76.12421317868522 4.500291072265,-76.01457495553959 4.500291072265,-76.01457495553959 4.541112890978184,-76.12421317868522 4.541112890978184))"
 ]
}

 The dataset's 389 records were derived from 29 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046157-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.f3s2z8
title: Occurrence Download

description: A dataset containing 794 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Catostomus commersonii",
 "HasCoordinate is True",
 "Year is 2024"
 ]
}

 The dataset includes 794 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046168-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15937117
title: ReESH_US-Bi1: Bouldin Island Alfalfa

description: Regional Ecosystem Soil Hydraulics (ReESH) Project:US-Bi1: Bouldin Island Alfalfa AmeriFlux Site

The ReESH Database includes soil characteristics of soil samples and corresponding soil water retention curves, which enable the conversion of soil water content to soil water potential.

Database Files: 1) Soil Characteristics:

"Site" -- Site Name (AmeriFlux Site Code)"Sample_ID" -- Unique Sample Identifier "Sampling_Date" -- Date of Sample Collection (YYYY-MM-DD)"Latitude" -- Site Latitude"Longitude" -- Site Longitude"Veg" -- International Geosphere-Biosphere Program (IGBP) "Depth_cm" -- Sample Collection Depth (cm)"Depth" -- Sample Collection Depth (cm)"CLAY" -- Percent Clay (%)"SILT" -- Percent Silt (%)"SAND" -- Percent Sand (%)"RootBiomass_g" -- Fine Root biomass (g per 250mL soil)"Pct_OM" -- Percent Organic Matter (%)"Bulk_Den_g_m3" -- Sample Bulk Density (g m^-3)"Med_KsSoil_m_s" -- Median Saturated Hydraulic Conductivity (m s^-1) -minimum three replicates"Min_KsSoil_m_s" -- Minimum Saturated Hydraulic Conductivity (m s^-1) -minimum three replicates"Max_KsSoil_m_s" -- Maximum Saturated Hydraulic Conductivity (m s^-1) -minimum three replicates"SD_KsSoil_m_s" -- Standard Deviation in Saturated Hydraulic Conductivity (m s^-1) -minimum three replicates"KS_Soil_Flag" -- QAQC flags for Saturated Hydraulic Conductivity measurements (0==good; 1==suspect and use with caution)

2) Soil Water Retention Curves:"Site" -- Site Name (AmeriFlux Site Code)"Sample_ID" -- Unique Sample Identifier "Plot" -- Site Personnel Defined Pit Identifier "Depth_cm" -- Sample Collection Depth (cm)"MPa_Abs" -- Sample Water Potential (-MPa)"Vol_Water" -- Sample Water Content (%)"Hypropfilter" -- Instrument Code (1==WP4C; 2==HyProp)"Sampling_Date" -- Date of Sample Collection (YYYY-MM-DD)"Bulk_Den_g_m3" -- Sample Bulk Density (g m^-3)
DOI: 10.5281/zenodo.15937116
title: ReESH_US-Bi1: Bouldin Island Alfalfa

description: Regional Ecosystem Soil Hydraulics (ReESH) Project:US-Bi1: Bouldin Island Alfalfa AmeriFlux Site

The ReESH Database includes soil characteristics of soil samples and corresponding soil water retention curves, which enable the conversion of soil water content to soil water potential.

Database Files: 1) Soil Characteristics:

"Site" -- Site Name (AmeriFlux Site Code)"Sample_ID" -- Unique Sample Identifier "Sampling_Date" -- Date of Sample Collection (YYYY-MM-DD)"Latitude" -- Site Latitude"Longitude" -- Site Longitude"Veg" -- International Geosphere-Biosphere Program (IGBP) "Depth_cm" -- Sample Collection Depth (cm)"Depth" -- Sample Collection Depth (cm)"CLAY" -- Percent Clay (%)"SILT" -- Percent Silt (%)"SAND" -- Percent Sand (%)"RootBiomass_g" -- Fine Root biomass (g per 250mL soil)"Pct_OM" -- Percent Organic Matter (%)"Bulk_Den_g_m3" -- Sample Bulk Density (g m^-3)"Med_KsSoil_m_s" -- Median Saturated Hydraulic Conductivity (m s^-1) -minimum three replicates"Min_KsSoil_m_s" -- Minimum Saturated Hydraulic Conductivity (m s^-1) -minimum three replicates"Max_KsSoil_m_s" -- Maximum Saturated Hydraulic Conductivity (m s^-1) -minimum three replicates"SD_KsSoil_m_s" -- Standard Deviation in Saturated Hydraulic Conductivity (m s^-1) -minimum three replicates"KS_Soil_Flag" -- QAQC flags for Saturated Hydraulic Conductivity measurements (0==good; 1==suspect and use with caution)

2) Soil Water Retention Curves:"Site" -- Site Name (AmeriFlux Site Code)"Sample_ID" -- Unique Sample Identifier "Plot" -- Site Personnel Defined Pit Identifier "Depth_cm" -- Sample Collection Depth (cm)"MPa_Abs" -- Sample Water Potential (-MPa)"Vol_Water" -- Sample Water Content (%)"Hypropfilter" -- Instrument Code (1==WP4C; 2==HyProp)"Sampling_Date" -- Date of Sample Collection (YYYY-MM-DD)"Bulk_Den_g_m3" -- Sample Bulk Density (g m^-3)