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

description: A dataset containing 57309 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Erythrina L."
 ]
}

 The dataset includes 57309 records from 945 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020009-231120084113126/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17026/dans-2cj-43s9
title: Proefsleuvenonderzoek Geysteren Heiveld II Proefsleuvenonderzoek aan de Heiveld II te Geysteren in de gemeente Venray

description: &lt;p&gt;In 4 van de 6 proefsleuven zijn sporen aangetroffen die dateren uit de Late IJzertijd, (paal)kuilen en een greppel en sporen die dateren uit de Late Middeleeuwen/Nieuwe tijd, greppel/sloot. In het gehele plangebied is vondstmateriaal uit voornamelijk de Late IJzertijd aangetroffen met een klein component materiaal uit de Late Middeleeuwen en Nieuwe tijd.&lt;/p&gt;&lt;p&gt;In de paalsporen is geen structuur te herkennen, het zijn mogelijk de resten van gebouwen. Hoogstwaarschijnlijk bevinden we ons hier op een erf uit de Late IJzertijd en liggen in de directe omgeving van de proefsleuven nog meer sporen van het hoofd- en bijgebouw en van andere structuren zoals waterputten en greppels op geringe afstand. Aanvullend onderzoek zou meer inzicht kunnen geven over de exacte omvang en samenstelling van het erf en de structuren daarbinnen.&lt;/p&gt;&lt;p&gt;Naast de sporen uit de Late IJzertijd zijn ook twee sporen uit de Late Middeleeuwen/Nieuwe tijd blootgelegd. Het gaat hier om twee greppels/sloten die in elkaars verlengde liggen en waarschijnlijk een structuur vormen. Deze structuur zal te maken hebben met het agrarisch gebruik van het plangebied.&lt;/p&gt;&lt;p&gt;Verder is in bijna het gehele plangebied een esdek aangetroffen. In dit esdek is aardewerk uit de Late Middeleeuwen/Nieuwe tijd aangetroffen die met de bemesting op het land terecht is gekomen. De datering van dit aardewerk geeft aan dat het esdek met enige zekerheid in de 13e-14e eeuw ontstaan is en tot in de 19e eeuw is doorgegaan.&lt;/p&gt;
DOI: 10.15468/dl.sj68yp
title: Occurrence Download

description: A dataset containing 14 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Material sample)"
 ]
 }
 },
 "TaxonKey is Lophuromys roseveari W.Verheyen, Hulselmans, Colyn & Hutterer, 1997",
 "Continent is one of (Africa)",
 "Year is greater than or equal to 1900"
 ]
}

 The dataset includes 14 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0033711-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7910/dvn/u2g7cj
title: Replication Data for: The Impact of prior online gaming experience on the migration of offline gamblers to digital gambling platforms

description: The survey was administered by a professional online research firm, Embrain, which is one of the leading research service provider listed in the Korea Exchange. The respondent pool was designed to ensure representativeness across gender, age, and region, and included individuals who consented to the survey’s topic (i.e. online gambling legalization) and research purpose.
DOI: 10.6084/m9.figshare.22067975
title: YouthNonelectoralParticipation.xlsx

description: Original survey which was part of a doctoral research project. Dataset on young people's engagement with non-electoral and electoral political participation in the UK, gathered from a survey in early 2021 (weighted N = 948). Weight to apply: DemographicsWeight.
DOI: 10.6084/m9.figshare.22067975.v2
title: YouthNonelectoralParticipation.xlsx

description: Original survey which was part of a doctoral research project. Dataset on young people's engagement with non-electoral and electoral political participation in the UK, gathered from a survey in early 2021 (weighted N = 948). Weight to apply: DemographicsWeight.
DOI: 10.6084/m9.figshare.22067975.v1
title: YouthNonelectoralParticipation.xlsx

description: Original survey which was part of a doctoral research project. Dataset on young people's engagement with non-electoral and electoral political participation in the UK, gathered from a survey in early 2021 (weighted N = 948). Weight to apply: DemographicsWeight.
DOI: 10.34740/kaggle/dsv/12121033
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.15468/dl.cfqy9v
title: Occurrence Download

description: A dataset containing 187 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Hyperolius marmoratus Rapp, 1842",
 "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 ((27.1586 -33.5889,28.2048 -32.9007,25.5395 -32.9007,25.5395 -34.1098,25.6468 -34.1222,25.7787 -34.0734,25.7098 -33.9109,25.8639 -33.797,26.4806 -33.8473,27.1586 -33.5889))"
 ]
}

 The dataset includes 187 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0033712-250525065834625/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.29281755
title: Data_codes_RSPA_Pratyush_Saravanan.rar from An approach to quantify non-uniform strains in inhomogeneous bodies

description: Although it is well known that in inhomogeneous bodies like concrete, the displacement gradient varies spatially, and this variation depends on the specimen microstructure, attempts are seldom made to correlate both of them. Appropriate estimation of this spatially varying strain and its quantification, which distinguishes specimens of different classes but invariant for the same class, is desired. An extreme value statistics-based approach is proposed to quantify spatially varying strain. Using a photogrammetry method, by judiciously choosing marker configurations to bound the error in the estimated strain, it is possible to get numerous estimates of the strain over a region. The parameters in an appropriate extreme value statistics distribution are found using these measured strain estimates and are examined across stress levels, location and specimen classes. Scale parameters of the extreme value distributions remain statistically the same across stress levels and location but vary significantly with specimen classes, suggesting the potential application of extreme value statistics for quantifying spatial strain variation. Thus, a robust methodology for measuring and quantifying non-uniform strain is proposed and experimentally validated. This holds potential applications across diverse fields and in the development of probabilistic constitutive relations that would rationalize the material partial safety factors.
DOI: 10.6084/m9.figshare.29281755.v1
title: Data_codes_RSPA_Pratyush_Saravanan.rar from An approach to quantify non-uniform strains in inhomogeneous bodies

description: Although it is well known that in inhomogeneous bodies like concrete, the displacement gradient varies spatially, and this variation depends on the specimen microstructure, attempts are seldom made to correlate both of them. Appropriate estimation of this spatially varying strain and its quantification, which distinguishes specimens of different classes but invariant for the same class, is desired. An extreme value statistics-based approach is proposed to quantify spatially varying strain. Using a photogrammetry method, by judiciously choosing marker configurations to bound the error in the estimated strain, it is possible to get numerous estimates of the strain over a region. The parameters in an appropriate extreme value statistics distribution are found using these measured strain estimates and are examined across stress levels, location and specimen classes. Scale parameters of the extreme value distributions remain statistically the same across stress levels and location but vary significantly with specimen classes, suggesting the potential application of extreme value statistics for quantifying spatial strain variation. Thus, a robust methodology for measuring and quantifying non-uniform strain is proposed and experimentally validated. This holds potential applications across diverse fields and in the development of probabilistic constitutive relations that would rationalize the material partial safety factors.
DOI: 10.15468/dl.je2kwc
title: Occurrence Download

description: A dataset containing 33 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Material sample)"
 ]
 }
 },
 "TaxonKey is Lophuromys sabunii W.Verheyen, Hulsemans, Dierckx, Mulungu, Leirs, Corti & E.Verheyen, 2007",
 "Continent is one of (Africa)",
 "Year is greater than or equal to 1900"
 ]
}

 The dataset includes 33 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0033714-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ags82e
title: Occurrence Download

description: A dataset containing 53842 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Hydropotes inermis Swinhoe, 1870"
 ]
}

 The dataset includes 53842 records from 88 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0033698-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mnx8fz
title: Occurrence Download

description: A dataset containing 43392 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-72.66357 47.30605,-74.99268 45.82574,-76.35498 44.61863,-77.62939 43.41782,-77.93701 42.32281,-77.05811 41.60394,-74.64111 41.07604,-72.48779 40.67731,-70.81787 40.27617,-69.104 41.66963,-69.71924 43.29,-67.87354 44.14753,-66.7749 44.806,-67.47803 46.40453,-67.52197 47.39537,-72.66357 47.30605))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Coccinellidae",
 "Year 1000-2025"
 ]
}

 The dataset includes 43392 records from 48 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0033713-250525065834625/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.25658730
title: Data from "Neurogenomic and behavioral principles shape freezing dynamics and synergistic performance in <i>Drosophila</i> <i>melanogaster</i>"

description: Behavioral, genomic, and simulation datasets of diverse strains of <i>Drosophila melanogaster</i>, generated in "<b>Neurogenomic and behavioral principles shape freezing dynamics and synergistic performance in</b><b> </b><b><i>Drosophila melanogaster</i></b>" written by Sato and Takahashi (2025).<br><br>Codes to replicate the findings of the study are available from Zenodo (https://doi.org/10.5281/zenodo.15630079).
DOI: 10.6084/m9.figshare.25658730.v2
title: Data and codes from "Neurogenomic and behavioral principles shape freezing dynamics and synergistic performance in <i>Drosophila</i> <i>melanogaster</i>"

description: Behavioral, genomic, and simulation datasets of diverse strains of <i>Drosophila melanogaster</i>, accompanied with codes to replicate findings described in the manuscript "<b>Neurogenomic and behavioral principles shape freezing dynamics and synergistic performance in</b><b> </b><b><i>Drosophila melanogaster</i></b>" written by Sato and Takahashi (2025).
DOI: 10.6084/m9.figshare.25658730.v3
title: Data from "Neurogenomic and behavioral principles shape freezing dynamics and synergistic performance in <i>Drosophila</i> <i>melanogaster</i>"

description: Behavioral, genomic, and simulation datasets of diverse strains of <i>Drosophila melanogaster</i>, generated in "<b>Neurogenomic and behavioral principles shape freezing dynamics and synergistic performance in</b><b> </b><b><i>Drosophila melanogaster</i></b>" written by Sato and Takahashi (2025).<br><br>Codes to replicate the findings of the study are available from Zenodo (https://doi.org/10.5281/zenodo.15630079).
DOI: 10.15468/dl.zadpa5
title: Occurrence Download

description: A dataset containing 2026 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Material sample)"
 ]
 }
 },
 "TaxonKey is Lophuromys sikapusi (Temminck, 1853)",
 "Continent is one of (Africa)",
 "Year is greater than or equal to 1900"
 ]
}

 The dataset includes 2026 records from 24 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0033716-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15632862
title: DCMEX Langmuir Laboratory weather station data and calculated lifting condensation level

description: Raw Magdalena Observatory weather station data provided by Bill and Eileen Ryan from New Mexico Tech. The data is collected operationally and this dataset contains just the days from the DCMEX campaign.

Also provided is a csv file with lifting condensation level properties calculated by Declan Finney from the data using metpy, and as described and presented in https://doi.org/10.5194/essd-16-2141-2024 

Related datasets

Facility for Airborne Atmospheric Measurements; Finney, D.; Blyth, A.; Gallagher, M.; Wu, H.; Nott, G.J.; Biggerstaff, M.; Sonnenfeld, R.G.; Daily, M.; Walker, D.; Dufton, D.; Bower, K.N.; Boeing, S.; Choularton, T.W.; Crosier, J.; Groves, J.; Field, P.; Coe, H.; Murray, B.J.; Lloyd, G.; Marsden, N.A.; Flynn, M.; Hu, K.; Thamban, N.M.; Williams, P.I.; Connolly, P.J.; McQuaid, J.B.; Robinson, J.; Cui, Z.; Burton, R.R.; Carrie, G.; Moore, R.; Abel, S.J.; Tiddeman, D.; Aulich, G.; Bennecke, D.; Kelsey, V.; Reger, R.S.; Nowakowska, K.; Bassford, J.; Morris, F.; Hampton, J. (2022): DCMEX: Collection of in-situ airborne observations, ground-based meteorological and aerosol measurements and cloud imagery for the Deep Convective Microphysics Experiment. NERC EDS Centre for Environmental Data Analysis, 30 April 2024. https://dx.doi.org/10.5285/B1211AD185E24B488D41DD98F957506C

Aircraft ice nucleating particle filter analysis https://doi.org/10.5518/1476

Individual image archive for camera 1 - Finney, D.; Groves, J.; Walker, D.; Dufton, D.; Moore, R.; Bennecke, D.; Kelsey, V.; Reger, R.S.; Nowakowska, K.; Bassford, J.; Blyth, A. (2023): DCMEX: cloud images from the NCAS Camera 11 from the New Mexico field campaign 2022. NERC EDS Centre for Environmental Data Analysis, 15 December 2023. https://dx.doi.org/10.5285/b839ae53abf94e23b0f61560349ccda1

Individual image archive for camera 2 - Finney, D.; Groves, J.; Walker, D.; Dufton, D.; Moore, R.; Bennecke, D.; Kelsey, V.; Reger, R.S.; Nowakowska, K.; Bassford, J.; Blyth, A. (2023): DCMEX: cloud images from the NCAS Camera 12 from the New Mexico field campaign 2022. NERC EDS Centre for Environmental Data Analysis, 15 December 2023. https://dx.doi.org/10.5285/d1c61edc4f554ee09ad370f6b52f82ce 

Timelapse footage of deep convective clouds in New Mexico produced during the DCMEX field campaign https://doi.org/10.5281/zenodo.7756710

Oklahoma University radar data - https://doi.org/10.5281/zenodo.8051426

Finney, D. (2025): UM-CASIM Simulation Data for campaign cases from the DCMEX Project. NERC EDS Centre for Environmental Data Analysis, date of citation. https://catalogue.ceda.ac.uk/uuid/b850297a4de4493b8ff048f574811e25
DOI: 10.5281/zenodo.15632863
title: DCMEX Langmuir Laboratory weather station data and calculated lifting condensation level

description: Raw Magdalena Observatory weather station data provided by Bill and Eileen Ryan from New Mexico Tech. The data is collected operationally and this dataset contains just the days from the DCMEX campaign.

Also provided is a csv file with lifting condensation level properties calculated by Declan Finney from the data using metpy, and as described and presented in https://doi.org/10.5194/essd-16-2141-2024 

Related datasets

Facility for Airborne Atmospheric Measurements; Finney, D.; Blyth, A.; Gallagher, M.; Wu, H.; Nott, G.J.; Biggerstaff, M.; Sonnenfeld, R.G.; Daily, M.; Walker, D.; Dufton, D.; Bower, K.N.; Boeing, S.; Choularton, T.W.; Crosier, J.; Groves, J.; Field, P.; Coe, H.; Murray, B.J.; Lloyd, G.; Marsden, N.A.; Flynn, M.; Hu, K.; Thamban, N.M.; Williams, P.I.; Connolly, P.J.; McQuaid, J.B.; Robinson, J.; Cui, Z.; Burton, R.R.; Carrie, G.; Moore, R.; Abel, S.J.; Tiddeman, D.; Aulich, G.; Bennecke, D.; Kelsey, V.; Reger, R.S.; Nowakowska, K.; Bassford, J.; Morris, F.; Hampton, J. (2022): DCMEX: Collection of in-situ airborne observations, ground-based meteorological and aerosol measurements and cloud imagery for the Deep Convective Microphysics Experiment. NERC EDS Centre for Environmental Data Analysis, 30 April 2024. https://dx.doi.org/10.5285/B1211AD185E24B488D41DD98F957506C

Aircraft ice nucleating particle filter analysis https://doi.org/10.5518/1476

Individual image archive for camera 1 - Finney, D.; Groves, J.; Walker, D.; Dufton, D.; Moore, R.; Bennecke, D.; Kelsey, V.; Reger, R.S.; Nowakowska, K.; Bassford, J.; Blyth, A. (2023): DCMEX: cloud images from the NCAS Camera 11 from the New Mexico field campaign 2022. NERC EDS Centre for Environmental Data Analysis, 15 December 2023. https://dx.doi.org/10.5285/b839ae53abf94e23b0f61560349ccda1

Individual image archive for camera 2 - Finney, D.; Groves, J.; Walker, D.; Dufton, D.; Moore, R.; Bennecke, D.; Kelsey, V.; Reger, R.S.; Nowakowska, K.; Bassford, J.; Blyth, A. (2023): DCMEX: cloud images from the NCAS Camera 12 from the New Mexico field campaign 2022. NERC EDS Centre for Environmental Data Analysis, 15 December 2023. https://dx.doi.org/10.5285/d1c61edc4f554ee09ad370f6b52f82ce 

Timelapse footage of deep convective clouds in New Mexico produced during the DCMEX field campaign https://doi.org/10.5281/zenodo.7756710

Oklahoma University radar data - https://doi.org/10.5281/zenodo.8051426

Finney, D. (2025): UM-CASIM Simulation Data for campaign cases from the DCMEX Project. NERC EDS Centre for Environmental Data Analysis, date of citation. https://catalogue.ceda.ac.uk/uuid/b850297a4de4493b8ff048f574811e25
DOI: 10.15468/dl.fa3pk8
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Hyperolius marmoratus Rapp, 1842",
 "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/0033717-250525065834625/datasets/export for details.
DOI: 10.15468/dl.htn9qq
title: Occurrence Download

description: A dataset containing 38155 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Cuba",
 "TaxonKey is one of (Crocodylia, Testudines, Squamata, Amphibia)"
 ]
}

 The dataset includes 38155 records from 104 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0033715-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fuwhsd
title: Occurrence Download

description: A dataset containing 53842 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Hydropotes inermis Swinhoe, 1870"
 ]
}

 The dataset includes 53842 records from 88 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0033700-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57967/hf/5762
title: synthetic-bengali-sentiment
DOI: 10.15468/dl.44sdj2
title: Occurrence Download

description: A dataset containing 127 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Material sample)"
 ]
 }
 },
 "TaxonKey is Lophuromys simensis Osgood, 1936",
 "Continent is one of (Africa)",
 "Year is greater than or equal to 1900"
 ]
}

 The dataset includes 127 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0033718-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zre4vs
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Hyperolius marmoratus Rapp, 1842",
 "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/0033719-250525065834625/datasets/export for details.
DOI: 10.5517/ccdc.csd.cc2ndgk3
title: CCDC 2454845: Experimental Crystal Structure Determination

description: Related Article: Constantin G. Daniliuc, Chaohuang Chen, Gerhard Erker|2025|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.15468/dl.a7hctz
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Hyperolius marmoratus Rapp, 1842",
 "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/0033721-250525065834625/datasets/export for details.