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

description: A dataset containing 1719 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is MEX.25_1",
 "TaxonKey is Iguana iguana (Linnaeus, 1758)"
 ]
}

 The dataset includes 1719 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037745-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dcyjgk
title: Occurrence Download

description: A dataset containing 287 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pongo pygmaeus wurmbii (Tiedemann, 1808)"
 ]
}

 The dataset includes 287 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037744-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14805051
title: Dataset for conference paper called "Study on doping of specialty silica optical fibers for Tm-fiber lasers and amplifiers with antimony oxide"

description: The dataset represents the experimental data for conference paper called "Study on doping of specialty silica optical fibers for Tm-fiber lasers and amplifiers with antimony oxide”
DOI: 10.5281/zenodo.14809419
title: Dataset for conference paper called "Study on doping of specialty silica optical fibers for Tm-fiber lasers and amplifiers with antimony oxide"

description: The dataset represents the experimental data for conference paper called "Study on doping of specialty silica optical fibers for Tm-fiber lasers and amplifiers with antimony oxide”
DOI: 10.5281/zenodo.14285672
title: Standardized heat islands and persistence drive modelled urban heat events

description: Supporting data for “Standardized heat islands and persistence drive modelled urban heat events”.

Included are outputs from the Geophysical Fluid Dynamics Laboratory (GFDL) land model LM4, coupled with a newly developed and evaluated urban canopy model (UCM), and the Community Land Model (CLM) version 5, which is the land component of the Community Earth System Model (CESM) version 2.0.1.

For the GFDL model, we conducted the simulations at 2 latitude by 2.5 longitude from 1700 to 2000, with the period of 1700-1948 for spin-up, and focused on the simulations of the latest 40-year period from 1961 to 2000 for our analysis. For the CLM model, we conducted the simulations (uncoupled to the atmospheric model) at 0.9 latitude by 1.25 longitude based on an initial condition provided by the CESM, which is spin-up by the Global Soil Wetness Project Phase 3 atmospheric forcing from 1970 to 2010. For the analysis, we focused on the simulations of the latest 40-year period from 1971 to 2010.

Analysis_codes.zip contains the analysis code. It is provided as-is with no guarantee of usability.
DOI: 10.5281/zenodo.15131945
title: Standardized heat islands and persistence drive modelled urban heat events

description: Supporting data for “Standardized heat islands and persistence drive modelled urban heat events”.

Included are outputs from the Geophysical Fluid Dynamics Laboratory (GFDL) land model LM4, coupled with a newly developed and evaluated urban canopy model (UCM), and the Community Land Model (CLM) version 5, which is the land component of the Community Earth System Model (CESM) version 2.0.1.

For the GFDL model, we conducted the simulations at 2 latitude by 2.5 longitude from 1700 to 2000, with the period of 1700-1948 for spin-up, and focused on the simulations of the latest 40-year period from 1961 to 2000 for our analysis. For the CLM model, we conducted the simulations (uncoupled to the atmospheric model) at 0.9 latitude by 1.25 longitude based on an initial condition provided by the CESM, which is spin-up by the Global Soil Wetness Project Phase 3 atmospheric forcing from 1970 to 2010. For the analysis, we focused on the simulations of the latest 40-year period from 1971 to 2010.

Analysis_codes.zip contains the analysis code. It is provided as-is with no guarantee of usability.
DOI: 10.15468/dl.cwvj7j
title: Occurrence Download

description: A dataset containing 29 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "GadmGid is CHN.19_1",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Artemisia argyi H.Lév. & Vaniot"
 ]
}

 The dataset includes 29 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037746-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zy648h
title: Occurrence Download

description: A dataset containing 695302 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is AD AVH Data",
 "TaxonKey is Plantae",
 "HasCoordinate is true"
 ]
}

 The dataset includes 695302 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037739-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.an952k
title: Occurrence Download

description: A dataset containing 44 species occurrences available in GBIF matching the query:
{
 "and" : [
 "ScientificName is Fingerhuthia africana Nees ex Lehm.",
 "Geometry POLYGON((29.76451 -26.09643, 32.1599 -26.09643, 32.1599 -22.51877, 29.76451 -22.51877, 29.76451 -26.09643))"
 ]
}

 The dataset includes 44 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037747-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.satepj
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "ScientificName is Fingerhuthia sesleriiformis Nees",
 "Geometry POLYGON((29.76451 -26.09643, 32.1599 -26.09643, 32.1599 -22.51877, 29.76451 -22.51877, 29.76451 -26.09643))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037748-250525065834625/datasets/export for details.
DOI: 10.15468/dl.7bn63h
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "ScientificName is Grewia robusta Burch.",
 "Geometry POLYGON((29.76451 -26.09643, 32.1599 -26.09643, 32.1599 -22.51877, 29.76451 -22.51877, 29.76451 -26.09643))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037749-250525065834625/datasets/export for details.
DOI: 10.15468/dl.6k4kun
title: Occurrence Download

description: A dataset containing 32437 records in GBIF matching the query:
SELECT
 kingdom,
 kingdomkey,
 phylum,
 phylumkey,
 class,
 classkey,
 "order",
 orderkey,
 family,
 familykey,
 genus,
 genuskey,
 species,
 specieskey,
 "year",
 IF(ISNULL(kingdomkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY kingdomkey, "year")) kingdomcount,
 IF(ISNULL(phylumkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY phylumkey, "year")) phylumcount,
 IF(ISNULL(classkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY classkey, "year")) classcount,
 IF(ISNULL(orderkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY orderkey, "year")) ordercount,
 IF(ISNULL(familykey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY familykey, "year")) familycount,
 IF(ISNULL(genuskey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY genuskey, "year")) genuscount,
 COUNT(*) occurrences,
 MIN(GBIF_TEMPORALUNCERTAINTY(eventdate, eventtime)) mintemporaluncertainty,
 MIN(COALESCE(coordinateuncertaintyinmeters, 1000)) mincoordinateuncertaintyinmeters
FROM
 occurrence
WHERE
 occurrence.countrycode = 'ZW'
 AND occurrence.occurrencestatus = 'PRESENT'
 AND (occurrence."year" &gt;= 2000 AND occurrence."year" &lt;= 2025)
 AND occurrence.hasgeospatialissues = FALSE
 AND NOT GBIF_STRINGARRAYCONTAINS(occurrence.issue, 'TAXON_MATCH_FUZZY', TRUE)
 AND (occurrence.distancefromcentroidinmeters &gt;= 2000.0 OR occurrence.distancefromcentroidinmeters IS NULL)
 AND NOT occurrence.basisofrecord IN ('FOSSIL_SPECIMEN', 'LIVING_SPECIMEN')
 AND (occurrence.specieskey IS NOT NULL AND occurrence."year" IS NOT NULL)
GROUP BY
 occurrence.kingdom,
 occurrence.kingdomkey,
 occurrence.phylum,
 occurrence.phylumkey,
 occurrence.class,
 occurrence.classkey,
 occurrence."order",
 occurrence.orderkey,
 occurrence.family,
 occurrence.familykey,
 occurrence.genus,
 occurrence.genuskey,
 occurrence.species,
 occurrence.specieskey,
 occurrence."year"

 The dataset's 32437 records were derived from 122 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037738-250525065834625/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.29043139
title: Heavy Metal Pollutants and Their Spatial Distribution in Surficial Sediments from the Gangetic Plains, Central, and Western Parts of India

description: This study analyses surficial sediments for heavy metal contamination in three different zones: Western India, Ganga Plains, and Central India. To estimate the geochemical environment of the surficial soil, five heavy metals, namely Co, Cu, Ni, Zn, and Pb were examined. Enrichment factor (EF) indicated the highest contamination for Co which showed deficient to minimal contamination in 11 samples, moderate contamination in 11 samples, significant contamination in 16 samples and very significant contamination in 1 amongst the 39 samples from various locations in all three zones depicted. The geo-accumulation index suggests that the variability in Co observed was −1.5 to 2.68 indicating augmentation of the Co concentrations in the study areas with respect to background values. Among 39 of the total locations sampled, 20 of them fall in the category of no pollution with respect to Pollution Load Index (PLI), while 18 fall under the category of moderate pollution and one location falls under the category of heavy pollution. Although all the indices suggested that the zones have not been subjected to extreme levels of pollution yet, appropriate measures may be taken to contain further anthropogenic contamination of these soils to preserve the surficial soils and their ecology.
DOI: 10.6084/m9.figshare.29043139.v1
title: Heavy Metal Pollutants and Their Spatial Distribution in Surficial Sediments from the Gangetic Plains, Central, and Western Parts of India

description: This study analyses surficial sediments for heavy metal contamination in three different zones: Western India, Ganga Plains, and Central India. To estimate the geochemical environment of the surficial soil, five heavy metals, namely Co, Cu, Ni, Zn, and Pb were examined. Enrichment factor (EF) indicated the highest contamination for Co which showed deficient to minimal contamination in 11 samples, moderate contamination in 11 samples, significant contamination in 16 samples and very significant contamination in 1 amongst the 39 samples from various locations in all three zones depicted. The geo-accumulation index suggests that the variability in Co observed was −1.5 to 2.68 indicating augmentation of the Co concentrations in the study areas with respect to background values. Among 39 of the total locations sampled, 20 of them fall in the category of no pollution with respect to Pollution Load Index (PLI), while 18 fall under the category of moderate pollution and one location falls under the category of heavy pollution. Although all the indices suggested that the zones have not been subjected to extreme levels of pollution yet, appropriate measures may be taken to contain further anthropogenic contamination of these soils to preserve the surficial soils and their ecology.
DOI: 10.15468/dl.mvrh7h
title: Occurrence Download

description: A dataset containing 237 species occurrences available in GBIF matching the query:
{
 "and" : [
 "ScientificName is Heteropogon contortus (L.) P.Beauv. ex Roem. & Schult.",
 "Geometry POLYGON((29.76451 -26.09643, 32.1599 -26.09643, 32.1599 -22.51877, 29.76451 -22.51877, 29.76451 -26.09643))"
 ]
}

 The dataset includes 237 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037752-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8cvmed
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "ScientificName is Gymnosporia capitata (E.Mey. ex Sond.) Sim",
 "Geometry POLYGON((29.76451 -26.09643, 32.1599 -26.09643, 32.1599 -22.51877, 29.76451 -22.51877, 29.76451 -26.09643))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037751-250525065834625/datasets/export for details.
DOI: 10.15468/dl.ykw4uw
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "ScientificName is Hordeum capense Thunb.",
 "Geometry POLYGON((29.76451 -26.09643, 32.1599 -26.09643, 32.1599 -22.51877, 29.76451 -22.51877, 29.76451 -26.09643))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037753-250525065834625/datasets/export for details.
DOI: 10.15468/dl.3wkcxb
title: Occurrence Download

description: A dataset containing 29 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Mammalia",
 "Geometry MULTIPOLYGON (((142.36 -29.01, 142.36 -29.39, 142.74 -29.39, 142.74 -29.01, 142.36 -29.01)))"
 ]
}

 The dataset includes 29 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037754-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.71853/6wbr-eg85
title: External standard and standard addition calibration for determination of ascorbic acid bby HPLC with ionic liquid additives to mobile phase

description: <p>Data concern the analysis of asrorbic acid (AA), and come from a period from 2023 to 2025. Data are calibration curves using external standard technique: surface area versus concentration of ascorbic acid analytical standard (mg/l). The detection technique was HPLC with DAD detection. Analysis conditions:</p><p>- Nexera XR system (Shimadzu, Kioto, Japan) equipped with a detector SPD-M20A, a pump LC-20AD, an autosampler SIL-20AC and a column oven CTO-20AC.</p><p>- the chromatographic column Gemini-NX (C18, 110A, particle size 5 μm, dimensions 150 × 4.6 mm, Phenomenex) with pre-column (the same phase and manufacturer).</p><p>- the column oven temperature was 30 °C, while the autosampler oven was set to 10 °C.</p><p>- injection volume 10 uL.</p><p>- mobile phase tetrabutylammonium methanesulfonate (TBA-MSA) 1 mM in water and 5% acetonitrile.</p><p><br /></p><p><br /></p><p><br /></p>
DOI: 10.21421/d2/t4lcq7/20bqpp
title: Dataverse_Sorghum Minicore collection data set.tab

description: :unav
DOI: 10.21421/d2/t4lcq7
title: Two-Season Phenotyping Dataset of Sorghum Minicore Collection for Plant Growth, Water Use, Phenology, and Agronomic Traits Under Contrasting Water Regimes (2017–18; 2018-2018, Post-Rainy Season) using Lysi-Field Phenotyping Platform

description: This study evaluated the Sorghum Minicore collection, comprising 242 genetically diverse inbred lines and 18 elite farmer-preferred cultivars, to understand plant responses to water availability under field-controlled conditions. Conducted over two consecutive post-rainy seasons (2017–18 and 2018–19) at ICRISAT’s advanced lysimetric facility equipped with a rainout shelter, the experiment involved well-watered and water-stressed treatments with six replications per genotype. We have phenotyped for to plant growth, water use, phenology, and crop production traits using a high-precision system designed to assess drought responses by eliminating uncontrolled rainfall. The objectives were to assess genetic variation in water-use and yield-related traits under contrasting moisture regimes, explore trait relationships across water treatments, and geo-map sorghum races using origin-based temperature data to analyze the impact of agro-meteorological factors on water use and productivity. The consistent use of the minicore set across years enabled robust analysis, ultimately supporting the identification of climate-resilient sorghum lines suited for dryland agriculture.
DOI: 10.15468/dl.kbf6fk
title: Occurrence Download

description: A dataset containing 117 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Mammalia",
 "GeoDistance is in a distance of 0.5km from (-33.7,151.3)"
 ]
}

 The dataset includes 117 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037755-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.87m6pw
title: Occurrence Download

description: A dataset containing 335 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is AD AVH Data",
 "TaxonKey is Plantae",
 "HasCoordinate is true",
 {
 "not" : {
 "Issue" : [
 "is Continent coordinate mismatch"
 ]
 }
 },
 {
 "not" : {
 "Issue" : [
 "is Continent derived from coordinates"
 ]
 }
 },
 {
 "not" : {
 "Issue" : [
 "is Coordinate accuracy invalid"
 ]
 }
 },
 {
 "not" : {
 "Issue" : [
 "is Coordinate invalid"
 ]
 }
 },
 {
 "not" : {
 "Issue" : [
 "is Coordinate out of range"
 ]
 }
 },
 {
 "not" : {
 "Issue" : [
 "is Coordinate precision invalid"
 ]
 }
 },
 {
 "not" : {
 "Issue" : [
 "is Coordinate precision/uncertainty mismatch"
 ]
 }
 },
 {
 "not" : {
 "Issue" : [
 "is Coordinate reprojected"
 ]
 }
 },
 {
 "not" : {
 "Issue" : [
 "is Coordinate reprojection failed"
 ]
 }
 },
 {
 "not" : {
 "Issue" : [
 "is Coordinate reprojection suspicious"
 ]
 }
 },
 {
 "not" : {
 "Issue" : [
 "is Coordinate rounded"
 ]
 }
 },
 {
 "not" : {
 "Issue" : [
 "is Coordinate uncertainty meters invalid"
 ]
 }
 },
 {
 "not" : {
 "Issue" : [
 "is Country coordinate mismatch"
 ]
 }
 },
 {
 "not" : {
 "Issue" : [
 "is Country derived from coordinates"
 ]
 }
 },
 {
 "not" : {
 "Issue" : [
 "is Geodetic datum assumed WGS84"
 ]
 }
 },
 {
 "not" : {
 "Issue" : [
 "is Geodetic datum invalid"
 ]
 }
 },
 {
 "not" : {
 "Issue" : [
 "is Presumed negated latitude"
 ]
 }
 },
 {
 "not" : {
 "Issue" : [
 "is Presumed negated longitude"
 ]
 }
 },
 {
 "not" : {
 "Issue" : [
 "is Presumed swapped coordinate"
 ]
 }
 },
 {
 "not" : {
 "Issue" : [
 "is Zero coordinate"
 ]
 }
 },
 {
 "not" : {
 "Issue" : [
 "is The scientific name differs on the record from that found in the checklist"
 ]
 }
 },
 {
 "not" : {
 "Issue" : [
 "is The scientific name ID was not found in the checklist"
 ]
 }
 },
 {
 "not" : {
 "Issue" : [
 "is The taxon concept ID was not found in the checklist"
 ]
 }
 },
 {
 "not" : {
 "Issue" : [
 "is The taxon ID was not found in the checklist"
 ]
 }
 },
 {
 "not" : {
 "Issue" : [
 "is Taxon match aggregate"
 ]
 }
 },
 {
 "not" : {
 "Issue" : [
 "is Taxon match fuzzy"
 ]
 }
 },
 {
 "not" : {
 "Issue" : [
 "is Taxon match higher rank"
 ]
 }
 },
 {
 "not" : {
 "Issue" : [
 "is The backbone match found using the taxon IDs differs from what would be found if using the scientific names"
 ]
 }
 },
 {
 "not" : {
 "Issue" : [
 "is Taxon match none"
 ]
 }
 },
 {
 "not" : {
 "Issue" : [
 "is The scientific name ID was not used in backbone matching"
 ]
 }
 },
 {
 "not" : {
 "Issue" : [
 "is The taxon ID was not used in backbone matching"
 ]
 }
 }
 ]
}

 The dataset includes 335 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037757-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fmvh9b
title: Occurrence Download

description: A dataset containing 148014 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Anas platyrhynchos f. domesticus"
 ]
}

 The dataset includes 148014 records from 26 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037750-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7aqc27
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "ScientificName is Kedrostis nana (Lam.) Cogn.",
 "Geometry POLYGON((29.76451 -26.09643, 32.1599 -26.09643, 32.1599 -22.51877, 29.76451 -22.51877, 29.76451 -26.09643))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037762-250525065834625/datasets/export for details.
DOI: 10.5281/zenodo.15645501
title: COVID-19-Todesfälle in Deutschland

description: Im Datensatz 'COVID-19-Todesfälle in Deutschland' werden die Todesfälle in Bezug auf COVID-19 in Deutschland bereitgestellt. Darüber hinaus wird neben der Anzahl der übermittelten Todesfälle der Fall-Verstorbenen-Anteil berechnet.
Angaben zum Tod zählen zu den melde- und übermittlungspflichtigen Inhalten. Bei der Ermittlung von Todesfällen und der Bewertung der entsprechenden Informationen in den Gesundheitsämtern unterschiedlich vorgegangen. In der Folge könnte es einerseits zu einer Unterschätzung der Anzahl der Todesfälle, andererseits zu einer Überschätzung des Anteils der Verstorbenen einer Infektionskrankheit kommen. Ausführlich Hinweise zur Datenerhebung und Interpretation können der Datensatzdokumentation entnommen werden.
DOI: 10.5281/zenodo.15645500
title: 7-Tage-Inzidenz der COVID-19-Fälle in Deutschland

description: Im Datensatz '7-Tage-Inzidenz von COVID-19 in Deutschland' werden die aktuellen 7-Tage-Inzidenzen der nach den Vorgaben des Infektionsschutzgesetzes - IfSG - an das RKI übermittelten COVID-19-Fälle veröffentlicht. Datengrundlage zur Berechnung der 7-Tage-Inzidenzen sind die an das RKI übermittelten COVID-19-Fälle. Eine detaillierte Dokumentation zur Erhebung der Daten zum Infektionsgeschehen ist im Datensatz 'SARS-CoV-2-Infektionen in Deutschland' enthalten. Die für die Berechnung der 7-Tage-Inzidenz notwendigen Bevölkerungsdaten bezieht das RKI durch das Statistisches Bundesamt (Destatis), Referat F24 | Bevölkerungsfortschreibung, Ausländer- und Integrationsstatistiken.
DOI: 10.15468/dl.wckrnw
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "and" : [
 "ScientificName is Ischaemum L.",
 "Geometry POLYGON((29.76451 -26.09643, 32.1599 -26.09643, 32.1599 -22.51877, 29.76451 -22.51877, 29.76451 -26.09643))"
 ]
}

 The dataset includes 4 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037761-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fu7kwr
title: Occurrence Download

description: A dataset containing 52 species occurrences available in GBIF matching the query:
{
 "and" : [
 "ScientificName is Hyparrhenia hirta (L.) Stapf",
 "Geometry POLYGON((29.76451 -26.09643, 32.1599 -26.09643, 32.1599 -22.51877, 29.76451 -22.51877, 29.76451 -26.09643))"
 ]
}

 The dataset includes 52 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037760-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.