cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.cytju6
title: Occurrence Download

description: A dataset containing 83 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Rouleina maderensis Maul, 1948",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "Year is greater than or equal to 1900"
 ]
}

 The dataset includes 83 records from 21 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0067581-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7483/opendata.cms.p96s.cicx
title: /NMSSM_XToYHTo2B2Tau_MX-320_MY-80_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.49og.42ak
title: /NMSSM_XToYHTo2B2Tau_MX-320_MY-90_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.3tik.lp4i
title: /NMSSM_XToYHTo2B2Tau_MX-320_MY-90_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.qybr.cdxq
title: /NMSSM_XToYHTo2B2Tau_MX-3500_MY-1000_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.j4kk.o3np
title: /NMSSM_XToYHTo2B2Tau_MX-3500_MY-1000_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.go1z.wsz9
title: /NMSSM_XToYHTo2B2Tau_MX-3500_MY-100_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.vr12.4gf9
title: /NMSSM_XToYHTo2B2Tau_MX-3500_MY-100_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.y40p.s4dx
title: /NMSSM_XToYHTo2B2Tau_MX-3500_MY-1100_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.iig6.lewc
title: /NMSSM_XToYHTo2B2Tau_MX-3500_MY-1100_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.6mrk.2w3o
title: /NMSSM_XToYHTo2B2Tau_MX-3500_MY-1200_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.kwpx.kdn7
title: /NMSSM_XToYHTo2B2Tau_MX-3500_MY-1200_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.6084/m9.figshare.28195325
title: share data.rar

description: These data represent the research findings from our initial manuscript submitted to the journal CATENA, which includes plant information extraction, identification of key factors influencing plant distribution, as well as the simulation and future prediction of plant NDVI. Our paper is well-suited for the specific subfield of landscape ecology, as it addresses the evolutionary characteristics of early-spring ephemeral plants in the unique desert landscape and their responses to future climate change. We also believe that the study and its findings will be of interest to the readers of your journal. The highlights of the paper are as follows:(1) This study examines the correlation between high temporal resolution remote sensing monitoring and plant phenology, establishing a distribution range identification and NDVI extraction model for early-spring ephemeral plants based on a life-cycle approach, and validating the model using species distribution point data and high spatial resolution Landsat series data.(2) In developing the NDVI simulation model for ephemeral plants, we integrated multi-source environmental data, incorporating GIS spatial analysis and fully utilizing the factor contribution module of the RF (Random Forest) algorithm and the prediction module of the CNN (Convolutional Neural Network) model, thereby perceiving and extracting local features between ephemeral plants and climate variables.(3) We conducted priority planning for the biodiversity conservation of the unique plant landscape of early-spring ephemeral plants in the Gurbantünggüt Desert.The research findings of this study indicate that "it is speculated that these plants will migrate northwestward in the 2050s (to higher altitude and higher latitude areas), forming a second region in the center of the desert that is conducive to their survival and reproduction," which aligns with the inference that "due to global warming, biodiversity will migrate to higher altitudes and higher latitudes."This study comprehensively considers the relationship between remote sensing and plant phenology in the remote sensing extraction method for the unique plant landscape of the desert (early-spring ephemeral plants). It also employs a combination model of RF and CNN to predict future plant distribution and trends. This approach can provide new ideas and suggestions for related research on plant identification and conservation globally.
DOI: 10.6084/m9.figshare.28195325.v2
title: share data.rar

description: These data represent the research findings from our initial manuscript submitted to the journal CATENA, which includes plant information extraction, identification of key factors influencing plant distribution, as well as the simulation and future prediction of plant NDVI. Our paper is well-suited for the specific subfield of landscape ecology, as it addresses the evolutionary characteristics of early-spring ephemeral plants in the unique desert landscape and their responses to future climate change. We also believe that the study and its findings will be of interest to the readers of your journal. The highlights of the paper are as follows:(1) This study examines the correlation between high temporal resolution remote sensing monitoring and plant phenology, establishing a distribution range identification and NDVI extraction model for early-spring ephemeral plants based on a life-cycle approach, and validating the model using species distribution point data and high spatial resolution Landsat series data.(2) In developing the NDVI simulation model for ephemeral plants, we integrated multi-source environmental data, incorporating GIS spatial analysis and fully utilizing the factor contribution module of the RF (Random Forest) algorithm and the prediction module of the CNN (Convolutional Neural Network) model, thereby perceiving and extracting local features between ephemeral plants and climate variables.(3) We conducted priority planning for the biodiversity conservation of the unique plant landscape of early-spring ephemeral plants in the Gurbantünggüt Desert.The research findings of this study indicate that "it is speculated that these plants will migrate northwestward in the 2050s (to higher altitude and higher latitude areas), forming a second region in the center of the desert that is conducive to their survival and reproduction," which aligns with the inference that "due to global warming, biodiversity will migrate to higher altitudes and higher latitudes."This study comprehensively considers the relationship between remote sensing and plant phenology in the remote sensing extraction method for the unique plant landscape of the desert (early-spring ephemeral plants). It also employs a combination model of RF and CNN to predict future plant distribution and trends. This approach can provide new ideas and suggestions for related research on plant identification and conservation globally.
DOI: 10.7483/opendata.cms.ac8d.5lv8
title: /NMSSM_XToYHTo2B2Tau_MX-3500_MY-125_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v3/MINIAODSIM
DOI: 10.6084/m9.figshare.28195325.v1
title: share data.rar

description: These data represent the research findings from our initial manuscript submitted to the journal CATENA, which includes plant information extraction, identification of key factors influencing plant distribution, as well as the simulation and future prediction of plant NDVI. Our paper is well-suited for the specific subfield of landscape ecology, as it addresses the evolutionary characteristics of early-spring ephemeral plants in the unique desert landscape and their responses to future climate change. We also believe that the study and its findings will be of interest to the readers of your journal. The highlights of the paper are as follows:(1) This study examines the correlation between high temporal resolution remote sensing monitoring and plant phenology, establishing a distribution range identification and NDVI extraction model for early-spring ephemeral plants based on a life-cycle approach, and validating the model using species distribution point data and high spatial resolution Landsat series data.(2) In developing the NDVI simulation model for ephemeral plants, we integrated multi-source environmental data, incorporating GIS spatial analysis and fully utilizing the factor contribution module of the RF (Random Forest) algorithm and the prediction module of the CNN (Convolutional Neural Network) model, thereby perceiving and extracting local features between ephemeral plants and climate variables.(3) We conducted priority planning for the biodiversity conservation of the unique plant landscape of early-spring ephemeral plants in the Gurbantünggüt Desert.The research findings of this study indicate that "it is speculated that these plants will migrate northwestward in the 2050s (to higher altitude and higher latitude areas), forming a second region in the center of the desert that is conducive to their survival and reproduction," which aligns with the inference that "due to global warming, biodiversity will migrate to higher altitudes and higher latitudes."This study comprehensively considers the relationship between remote sensing and plant phenology in the remote sensing extraction method for the unique plant landscape of the desert (early-spring ephemeral plants). It also employs a combination model of RF and CNN to predict future plant distribution and trends. This approach can provide new ideas and suggestions for related research on plant identification and conservation globally.
DOI: 10.7483/opendata.cms.bca7.q0y1
title: /NMSSM_XToYHTo2B2Tau_MX-3500_MY-125_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.q4se.tnln
title: /NMSSM_XToYHTo2B2Tau_MX-3500_MY-1300_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.tna5.hx2y
title: /NMSSM_XToYHTo2B2Tau_MX-3500_MY-1300_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.7vae.p2f4
title: /NMSSM_XToYHTo2B2Tau_MX-3500_MY-1400_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.5seb.sc6f
title: /NMSSM_XToYHTo2B2Tau_MX-3500_MY-1400_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.oi05.8odn
title: /NMSSM_XToYHTo2B2Tau_MX-3500_MY-150_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.15468/dl.8gm7jk
title: Occurrence Download

description: A dataset containing 3143 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Rypticus saponaceus (Bloch & Schneider, 1801)",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "Year is greater than or equal to 1900"
 ]
}

 The dataset includes 3143 records from 112 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0067583-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.f4gpxs
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Arthroleptella bicolor Hewitt, 1926",
 "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 ((20.529 -24.0715,20.509 -24.0455,20.509 -24.0715,20.529 -24.0715))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034027-250525065834625/datasets/export for details.
DOI: 10.15468/dl.sd9d9z
title: Occurrence Download

description: A dataset containing 17 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 Otomys helleri Frick, 1914",
 "Continent is one of (Africa)",
 "Year is greater than or equal to 1900"
 ]
}

 The dataset includes 17 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034026-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17026/dans-x6y-nxmy
title: Middeleeuws Oostwerde onder de vloer. Een archeologische waarneming en bouwhistorisch Middeleeuws Oostwerde onder de vloer. Een archeologische waarneming en bouwhistorisch onderzoek van Oostwaard 9 te Maarssen, Gemeente Stichtse Vecht

description: &lt;p&gt;In opdracht van de Omgevingsdienst regio Utrecht namens de gemeente Stichtse Vecht, heeft RAAP Archeologisch Adviesbureau in oktober 2013 een archeologische begeleiding uitgevoerd in verband met het aantreffen van bijzondere sporen van het mogelijke kasteel Oostwaard in de gemeente Stichtse Vecht (figuur 1). Tijdens de restauratie en renovatie van de huidige boerderij Oostwaard 9 werden bij de aanleg van de vloerverwarming op de begane grond structuren en sporen van oudere fasen van de boerderij zichtbaar. Op initiatief van de eigenaren en in overleg met de RCE hebben de heren Hans Wetemans en Ton van Bommel van de AWN de tevoorschijn gekomen funderingsresten vrijgelegd, waarbij de verdere verstoring van de resten en de grondsporen tot een minimum is beperkt. Naar aanleiding van de toevalsvondst van de funderingen is tevens door Bureau voor Bouwhistorie en Architectuurgeschiedenis v.o.f. (BBA) een bouwhistorisch onderzoek naar de op dat moment vrijgelegde structuren uitgevoerd (Viersen, 2013).&lt;br&gt;Gezien het grote belang van de aangetroffen vondsten heeft de wethouder van de gemeente Stichtse Vecht, na advies van de regio-archeoloog van de Omgevingsdienst regio Utrecht, toestemming gegeven om budget vrij te maken voor een (beperkt) archeologisch onderzoek. Het archeologisch onderzoek is uitgevoerd op 22 en 23 oktober 2013. Tijdens het archeologisch onderzoek heeft een aanvullend bouwhistorisch onderzoek plaatsgevonden op 22 oktober 2013 (Viersen, 2014).&lt;br&gt;Er is in samenspraak met de Omgevingsdienst voorafgaand aan het onderzoek geen PvE opgesteld, omdat er geen sprake is van graafwerkzaamheden. Door het toevallige karakter van de vondst is er eveneens geen inventariserend archeologisch onderzoek vooraf uitgevoerd. Het onderzoek is uitgevoerd volgens de normen van de archeologische beroepsgroep (zie artikel 24 van het Besluit archeologische monumentenzorg). De Kwaliteitsnorm Nederlandse Archeologie (KNA, versie 3.2), beheerd door de Stichting Infrastructuur Kwaliteitsborging Bodembeheer (SIKB; www.sikb.nl), geldt in de praktijk als richtlijn. RAAP beschikt over een opgravingsvergunning, verleend door de Minister van Onderwijs, Cultuur en Wetenschap.&lt;br&gt;Onderzoeksdocumentatie en vondstmateriaal zullen worden overgedragen aan het depot van de provincie Utrecht. Vanuit het oogpunt van beleving en de herbestemming van de boerderij is vanuit de bewoners het verzoek gekomen om het vondstmateriaal zichtbaar te maken in de stal van de boerderij. De auteurs steunen dit verzoek van harte en het depot zal gevraagd worden het vondstmateriaal in bruikleen te geven aan de bewoners. Op deze wijze worden de vondsten samen met de locatie beleefbaar gemaakt.&lt;/p&gt;
DOI: 10.15468/dl.82vhkj
title: Occurrence Download

description: A dataset containing 182997 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Vaccinium oxycoccos"
 ]
}

 The dataset includes 182997 records from 790 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0055575-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yjr5a4
title: Occurrence Download

description: A dataset containing 178 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "Year 1883-2019",
 "HasCoordinate is true",
 "TaxonKey is Carnegiea gigantea (Engelm.) Britton & Rose",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 178 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016431-191105090559680/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.u7pse4
title: Occurrence Download

description: A dataset containing 1842093 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Centaurea jacea L., Olea europaea L., Pinus halepensis Mill., Valeriana officinalis L., Eucalyptus globulus Labill., Nerium oleander L., Eucalyptus camaldulensis Dehn., Lycium ferocissimum Miers)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1842093 records from 1443 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0191794-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ze4wcp
title: Occurrence Download

description: A dataset containing 21 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-112.82494 28.85692,-111.76548 28.85692,-111.76548 30.01805,-112.82494 30.01805,-112.82494 28.85692))",
 "TaxonKey is Cheloniidae"
 ]
}

 The dataset includes 21 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021624-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.u26kgu
title: Occurrence Download

description: A dataset containing 22142 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Plagiomnium ellipticum (Brid.) T.J.Kop."
 ]
}

 The dataset includes 22142 records from 271 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0056476-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.12csn7
title: Occurrence Download

description: A dataset containing 217 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON((-99.95902 20.33947,-99.97945 20.30497,-99.93447 20.28128,-99.89482 20.29055,-99.88915 20.31303,-99.89001 20.34668,-99.92778 20.36058,-99.95902 20.33947))"
 ]
}

 The dataset includes 217 records from 30 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006888-190415153152247/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cm49kz
title: Occurrence Download

description: A dataset containing 62038 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Sorghum bicolor (L.) Moench",
 "HasCoordinate is true"
 ]
}

 The dataset includes 62038 records from 376 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0057531-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.764xn7
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Carcharhinus taurus (Rafinesque, 1810)"
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0049411-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ht8bs6
title: Occurrence Download

description: A dataset containing 34 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Anchoviella balboae (Jordan & Seale, 1926)"
 ]
}

 The dataset includes 34 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0057534-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.f5zc58
title: Occurrence Download

description: A dataset containing 20 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Africa",
 "Country is Benin",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Solanum lycopersicum L."
 ]
}

 The dataset includes 20 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0233701-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qdx45r
title: Occurrence Download

description: A dataset containing 955 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Litsea rotundifolia (Nees) Hemsl.",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 955 records from 34 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023919-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mw2zw3
title: Occurrence Download

description: A dataset containing 39 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Varronia bullulata (Killip ex J.Estrada & García-Barr.) J.S.Mill."
 ]
}

 The dataset includes 39 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005255-240425142415019/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vab7zj
title: Occurrence Download

description: A dataset containing 645 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Celtis caudata Planch."
 ]
}

 The dataset includes 645 records from 43 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0057544-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wm5nky
title: Occurrence Download

description: A dataset containing 905 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is South Africa",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "InstitutionCode is inaturalist",
 "TaxonKey is Vanellus coronatus (Boddaert, 1783)"
 ]
}

 The dataset includes 905 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023918-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.