cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.pxy2x6
title: Occurrence Download

description: A dataset containing 403 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-130.24327 -65.37693,11.06845 -65.37693,11.06845 -8.87707,-130.24327 -8.87707,-130.24327 -65.37693))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Leopardus geoffroyi (d'Orbigny & Gervais, 1844)"
 ]
}

 The dataset includes 403 records from 21 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0104011-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/inscriptifact-ouc111156225
title: Record, KTU 4.323

description: [Text or Publication Number Note:] KTU 4.323, KTU2 4.323, KTU3 4.323, CTU 4.323, CAT 4.323 ❧ [Excavation Description:] Found during excavations at Ras Shamra. ❧ [Medium:] Clay ❧ [Script Note:] Alphabetic Cuneiform ❧
DOI: 10.25549/inscriptifact-ouc111156273
title: Record, KTU 4.326

description: [Text or Publication Number Note:] KTU 4.326, KTU2 4.326, KTU3 4.326, CTU 4.326, CAT 4.326 ❧ [Excavation Description:] Found during excavations at Ras Shamra. ❧ [Medium:] Clay ❧ [Script Note:] Alphabetic Cuneiform ❧
DOI: 10.15468/dl.gs9s9v
title: Occurrence Download

description: A dataset containing 8844541 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "Continent is North America",
 "Continent is South America"
 ]
 },
 {
 "or" : [
 "Country is Brazil",
 "Country is Argentina",
 "Country is Colombia",
 "Country is Bolivia (Plurinational State of)",
 "Country is Uruguay",
 "Country is Chile",
 "Country is Dominican Republic",
 "Country is Venezuela (Bolivarian Republic of)",
 "Country is French Guiana",
 "Country is Ecuador"
 ]
 },
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 8844541 records from 1878 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0187575-210914110416597/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.28784807
title: Supplementary Material_Lacerda et al. The Antarctic Plastisphere

description: Here we provide a comprehensive molecular survey of both prokaryotic and eukaryotic diversity on floating plastics around the Antarctic Peninsula.
DOI: 10.15468/dl.q7t8gk
title: Occurrence Download

description: A dataset containing 192 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "TaxonKey is one of (Draba ramosissima Desv.)"
 ]
}

 The dataset includes 192 records from 25 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011625-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9j42p2
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON ((37.38583 -5.645833, 37.3825 -5.645833, 37.3825 -5.646667, 37.38083 -5.646667, 37.38083 -5.6475, 37.38 -5.6475, 37.38 -5.648333, 37.37833 -5.648333, 37.37833 -5.649167, 37.3775 -5.649167, 37.3775 -5.65, 37.37583 -5.65, 37.37583 -5.650833, 37.375 -5.650833, 37.375 -5.651667, 37.37417 -5.651667, 37.37417 -5.6525, 37.37333 -5.6525, 37.37333 -5.654013, 37.40417 -5.670185, 37.40417 -5.660833, 37.40333 -5.660833, 37.40333 -5.658333, 37.4025 -5.658333, 37.4025 -5.6575, 37.4025 -5.656667, 37.40167 -5.656667, 37.40167 -5.655, 37.40083 -5.655, 37.40083 -5.653333, 37.4 -5.653333, 37.4 -5.6525, 37.39833 -5.6525, 37.39833 -5.651667, 37.3975 -5.651667, 37.3975 -5.650833, 37.39583 -5.650833, 37.39583 -5.65, 37.395 -5.65, 37.395 -5.649167, 37.39333 -5.649167, 37.39333 -5.648333, 37.39167 -5.648333, 37.39167 -5.6475, 37.39 -5.6475, 37.39 -5.646667, 37.38667 -5.646667, 37.38667 -5.645833, 37.38583 -5.645833))",
 "TaxonKey is Mammalia"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011626-241126133413365/datasets/export for details.
DOI: 10.5281/zenodo.14252881
title: Bibliometric analysis of research trends in aquafeed formulation

description: A bibliographic comparison could be conducted between the two considered time periods, 2010-2019 and 2020-2025, to explore how research priorities and trends might have evolved. The earlier period would provide a foundation of historical developments, while the more recent one could focus on current trends and innovations. This analysis could reveal shifts in scientific and industrial priorities, offering insights into how emerging challenges and opportunities might be influencing the aquaculture field. The findings would provide valuable perspectives on the direction of research, particularly regarding sustainability and efficiency in aquaculture. Such analyses, based on database resources, could be applied to track trends, identify gaps, and guide future research directions.
DOI: 10.5281/zenodo.14252882
title: Bibliometric analysis of research trends in aquafeed formulation

description: A bibliographic comparison could be conducted between the two considered time periods, 2010-2019 and 2020-2025, to explore how research priorities and trends might have evolved. The earlier period would provide a foundation of historical developments, while the more recent one could focus on current trends and innovations. This analysis could reveal shifts in scientific and industrial priorities, offering insights into how emerging challenges and opportunities might be influencing the aquaculture field. The findings would provide valuable perspectives on the direction of research, particularly regarding sustainability and efficiency in aquaculture. Such analyses, based on database resources, could be applied to track trends, identify gaps, and guide future research directions.
DOI: 10.15468/dl.pt9kg8
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Bothrocara nyx Stevenson & Anderson, 2005",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011627-241126133413365/datasets/export for details.
DOI: 10.15468/dl.45whda
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "TaxonKey is one of (Draba rosularis Chodat & Wilczek)"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011628-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fb4nv2
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON ((37.46333 -5.61, 37.46333 -5.610833, 37.46083 -5.610833, 37.46083 -5.611667, 37.45917 -5.611667, 37.45917 -5.6125, 37.45833 -5.6125, 37.45833 -5.613333, 37.4575 -5.613333, 37.45667 -5.613333, 37.45667 -5.614167, 37.45583 -5.614167, 37.45583 -5.615, 37.455 -5.615, 37.455 -5.616667, 37.45417 -5.616667, 37.45417 -5.6175, 37.45333 -5.6175, 37.45333 -5.619167, 37.4525 -5.619167, 37.4525 -5.62, 37.45167 -5.62, 37.45167 -5.620833, 37.45083 -5.620833, 37.45083 -5.6225, 37.45 -5.6225, 37.45 -5.625833, 37.44917 -5.625833, 37.44917 -5.63, 37.44833 -5.63, 37.44833 -5.630833, 37.44833 -5.633333, 37.4475 -5.633333, 37.4475 -5.6475, 37.4475 -5.669167, 37.44833 -5.669167, 37.44833 -5.67, 37.44917 -5.67, 37.44917 -5.671667, 37.45 -5.671667, 37.45 -5.673333, 37.45083 -5.673333, 37.45083 -5.675, 37.45167 -5.675, 37.45167 -5.675833, 37.4525 -5.675833, 37.4525 -5.6775, 37.45333 -5.6775, 37.45333 -5.679167, 37.45417 -5.679167, 37.45417 -5.68, 37.45667 -5.68, 37.45667 -5.680833, 37.45833 -5.680833, 37.45833 -5.681667, 37.46 -5.681667, 37.46 -5.6825, 37.4625 -5.6825, 37.4625 -5.683333, 37.46417 -5.683333, 37.46417 -5.684167, 37.465 -5.684167, 37.465 -5.683333, 37.46667 -5.683333, 37.46667 -5.6825, 37.46917 -5.6825, 37.46917 -5.681667, 37.47083 -5.681667, 37.47083 -5.680833, 37.47333 -5.680833, 37.47333 -5.68, 37.475 -5.68, 37.475 -5.679167, 37.4775 -5.679167, 37.4775 -5.676667, 37.47833 -5.676667, 37.47833 -5.674167, 37.47917 -5.674167, 37.47917 -5.671667, 37.48 -5.671667, 37.48 -5.668333, 37.48083 -5.668333, 37.48083 -5.665, 37.48167 -5.665, 37.48167 -5.660833, 37.4825 -5.660833, 37.4825 -5.6575, 37.48333 -5.6575, 37.48333 -5.655833, 37.48417 -5.655833, 37.48417 -5.653333, 37.485 -5.653333, 37.485 -5.651667, 37.48583 -5.651667, 37.48583 -5.646667, 37.48583 -5.645833, 37.485 -5.645833, 37.485 -5.639167, 37.48417 -5.639167, 37.48417 -5.621667, 37.48417 -5.62, 37.48333 -5.62, 37.48333 -5.619167, 37.4825 -5.619167, 37.4825 -5.618333, 37.48167 -5.618333, 37.48167 -5.6175, 37.48 -5.6175, 37.48 -5.616667, 37.47917 -5.616667, 37.47917 -5.615833, 37.47833 -5.615833, 37.47833 -5.615, 37.4775 -5.615, 37.4775 -5.614167, 37.47667 -5.614167, 37.47667 -5.613333, 37.47583 -5.613333, 37.47583 -5.6125, 37.475 -5.6125, 37.475 -5.611667, 37.47333 -5.611667, 37.47333 -5.610833, 37.46833 -5.610833, 37.46833 -5.61, 37.46333 -5.61))",
 "TaxonKey is Mammalia"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011629-241126133413365/datasets/export for details.
DOI: 10.5281/zenodo.14259686
title: Tracking SARS-CoV-2 variants in wastewater in San Pedro de la Paz, Chile

description: Various studies have shown the presence of SARS-CoV-2 RNA in the feces of patientswith COVID-19, both symptomatic and asymptomatic. This allowed determining theviral load in wastewater samples from Wastewater Treatment Plants (WWTPs),carrying out wastewater-based surveillance (WBS) of the virus in the community, as acomplement to person-to-person testing. The appearance of SARS-CoV-2 variants,which can increase transmissibility and/or immune evasion, creates an imperativeneed to implement specific and permanent surveillance methods to control the COVID19 pandemic. For variant detection, we performed a real-time RT-qPCR assay with acommercial kit to detect five virus variants (Alpha, Beta, Gamma, Lambda, and Delta)in the municipality of San Pedro de la Paz, Chile, from January to November 2021.Detection of variants in wastewater was consistent with available clinical data andprovided additional information for community surveillance, identifying lambda anddelta variants as the most frequently detected during the second and third wave ofinfections in the population of this area. Furthermore, in some cases we detectedspecific variants in wastewater before local authorities confirmed the first clinical cases.The study demonstrates that WBS is a tool that allows a rapid and cost-effectivedetection of specific mutations associated with SARS-CoV-2 variants using RT-qPCR.However, Illumina amplicon sequencing confirms that there are more optimal methodsto sequence this type of matrices. This method can be used to complement clinicaldata during outbreaks and is especially useful when clinical care is insufficient orcollapsed and/or cost is very high, as is the case in many countries.
DOI: 10.5281/zenodo.14259687
title: Tracking SARS-CoV-2 variants in wastewater in San Pedro de la Paz, Chile

description: Various studies have shown the presence of SARS-CoV-2 RNA in the feces of patientswith COVID-19, both symptomatic and asymptomatic. This allowed determining theviral load in wastewater samples from Wastewater Treatment Plants (WWTPs),carrying out wastewater-based surveillance (WBS) of the virus in the community, as acomplement to person-to-person testing. The appearance of SARS-CoV-2 variants,which can increase transmissibility and/or immune evasion, creates an imperativeneed to implement specific and permanent surveillance methods to control the COVID19 pandemic. For variant detection, we performed a real-time RT-qPCR assay with acommercial kit to detect five virus variants (Alpha, Beta, Gamma, Lambda, and Delta)in the municipality of San Pedro de la Paz, Chile, from January to November 2021.Detection of variants in wastewater was consistent with available clinical data andprovided additional information for community surveillance, identifying lambda anddelta variants as the most frequently detected during the second and third wave ofinfections in the population of this area. Furthermore, in some cases we detectedspecific variants in wastewater before local authorities confirmed the first clinical cases.The study demonstrates that WBS is a tool that allows a rapid and cost-effectivedetection of specific mutations associated with SARS-CoV-2 variants using RT-qPCR.However, Illumina amplicon sequencing confirms that there are more optimal methodsto sequence this type of matrices. This method can be used to complement clinicaldata during outbreaks and is especially useful when clinical care is insufficient orcollapsed and/or cost is very high, as is the case in many countries.
DOI: 10.15468/dl.jj384b
title: Occurrence Download

description: A dataset containing 196 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Oncorhynchus keta (Walbaum, 1792)",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 196 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011631-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kvyyck
title: Occurrence Download

description: A dataset containing 1291073 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Observation, Human Observation, Specimen)",
 {
 "or" : [
 "Geometry POLYGON((150 55,180 55,180 90,150 90,150 55))",
 "Geometry POLYGON((50 55,150 55,150 90,50 90,50 55))",
 "Geometry POLYGON((-180 55,-140 55,-140 90,-180 90,-180 55))"
 ]
 },
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is one of (Asteraceae, Amaranthaceae, Amaryllidaceae, Apiaceae, Balsaminaceae, Betulaceae, Boraginaceae, Brassicaceae, Campanulaceae, Caprifoliaceae, Caryophyllaceae, Celastraceae, Convolvulaceae, Crassulaceae, Cupressaceae, Cyperaceae, Ericaceae, Euphorbiaceae, Fabaceae, Geraniaceae, Grossulariaceae, Juncaceae, Lamiaceae, Linaceae, Malvaceae, Melanthiaceae, Montiaceae, Onagraceae, Orchidaceae, Orobanchaceae, Papaveraceae, Pinaceae, Plantaginaceae, Plumbaginaceae, Poaceae, Polygonaceae, Primulaceae, Ranunculaceae, Rosaceae, Rubiaceae, Salicaceae, Saxifragaceae, Solanaceae, Tofieldiaceae, Urticaceae, Violaceae)"
 ]
}

 The dataset includes 1291073 records from 317 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011614-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.panps5
title: Occurrence Download

description: A dataset containing 73 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "TaxonKey is one of (Draba ussuriensis Pohle)"
 ]
}

 The dataset includes 73 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011633-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8fmmyu
title: Occurrence Download

description: A dataset containing 113 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Cephalotaxus oliveri Mast."
 ]
}

 The dataset includes 113 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011634-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cpduff
title: Occurrence Download

description: A dataset containing 10 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is ESP.2_1",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Potamopyrgus antipodarum (J.E.Gray, 1843)"
 ]
}

 The dataset includes 10 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011637-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.21954/ou.rd.26089588
title: Global distribution and seasonality of martian atmospheric HCl explained through heterogeneous chemistry - Dataset

description: This dataset contains information on the atmospheric fields of Mars, as simulated by a Mars Global Circulation Model (MGCM) that has been extended to include gas-phase chlorine chemistry and heterogeneous chlorine chemistry. It contains the results of two simulations, one with only gas-phase chlorine chemistry (GP) and one with gas-phase and heterogeneous chlorine chemistry (HET).The data included here covers the output from two simulation of approximately 2.5 Mars Years (halfway through MY 34 until the end of MY 36). Further information about the dataset can be found in the included reference document 'Dataset_Introduction.pdf'
DOI: 10.15468/dl.fhsf9f
title: Occurrence Download

description: A dataset containing 99 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Lagocephalus spadiceus (Richardson, 1845)",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 99 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011638-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.addp4s
title: Occurrence Download

description: A dataset containing 9174 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "TaxonKey is one of (Gaillardia aristata Pursh)"
 ]
}

 The dataset includes 9174 records from 159 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011636-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34740/kaggle/dsv/10077286
title: Trending Youtube Video Statistics (113 Countries)
DOI: 10.6084/m9.figshare.27939963
title: Ekinci et al. Judo Data (BMC Psychology)

description: Ekinci et al. Judo data submitted.
DOI: 10.6084/m9.figshare.27939963.v1
title: Ekinci et al. Judo Data (BMC Psychology)

description: Ekinci et al. Judo data submitted.
DOI: 10.15468/dl.7d9qrd
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON ((38.09667 -5.454167, 38.09667 -5.455, 38.095 -5.455, 38.095 -5.455833, 38.09333 -5.455833, 38.09333 -5.456667, 38.0925 -5.456667, 38.0925 -5.4575, 38.09167 -5.4575, 38.09167 -5.458333, 38.09083 -5.458333, 38.09083 -5.459167, 38.09 -5.459167, 38.09 -5.460833, 38.08917 -5.460833, 38.08917 -5.461667, 38.08833 -5.461667, 38.08833 -5.4625, 38.0875 -5.4625, 38.0875 -5.464167, 38.08667 -5.464167, 38.08667 -5.4675, 38.08583 -5.4675, 38.08583 -5.4725, 38.085 -5.4725, 38.085 -5.480833, 38.08583 -5.480833, 38.08583 -5.489167, 38.08667 -5.489167, 38.08667 -5.493333, 38.0875 -5.493333, 38.0875 -5.4975, 38.08833 -5.4975, 38.08833 -5.501667, 38.08917 -5.501667, 38.08917 -5.506667, 38.09 -5.506667, 38.09 -5.511667, 38.09083 -5.511667, 38.09083 -5.515833, 38.09167 -5.515833, 38.09167 -5.5175, 38.0925 -5.5175, 38.0925 -5.518333, 38.09333 -5.518333, 38.09333 -5.519167, 38.09417 -5.519167, 38.09417 -5.52, 38.095 -5.52, 38.095 -5.520833, 38.09583 -5.520833, 38.09583 -5.521667, 38.09667 -5.521667, 38.09667 -5.5225, 38.0975 -5.5225, 38.0975 -5.523333, 38.09833 -5.523333, 38.09833 -5.524167, 38.09917 -5.524167, 38.09917 -5.525, 38.1 -5.525, 38.1 -5.525833, 38.10083 -5.525833, 38.10083 -5.526667, 38.10167 -5.526667, 38.10167 -5.5275, 38.11083 -5.5275, 38.11083 -5.526667, 38.1125 -5.526667, 38.1125 -5.525833, 38.11417 -5.525833, 38.11417 -5.525, 38.11583 -5.525, 38.11583 -5.524167, 38.11667 -5.524167, 38.11667 -5.521667, 38.1175 -5.521667, 38.1175 -5.519167, 38.11833 -5.519167, 38.11833 -5.515833, 38.11917 -5.515833, 38.11917 -5.513333, 38.12 -5.513333, 38.12 -5.511667, 38.12083 -5.511667, 38.12083 -5.509167, 38.12167 -5.509167, 38.12167 -5.5075, 38.1225 -5.5075, 38.1225 -5.505, 38.12333 -5.505, 38.12333 -5.504167, 38.1225 -5.504167, 38.1225 -5.5, 38.12167 -5.5, 38.12167 -5.495833, 38.12083 -5.495833, 38.12083 -5.491667, 38.12 -5.491667, 38.12 -5.488333, 38.11917 -5.488333, 38.11917 -5.484167, 38.11833 -5.484167, 38.11833 -5.4825, 38.11833 -5.48, 38.11917 -5.48, 38.11917 -5.478333, 38.11833 -5.478333, 38.11833 -5.476667, 38.1175 -5.476667, 38.1175 -5.475, 38.11667 -5.475, 38.11667 -5.473333, 38.11583 -5.473333, 38.11583 -5.471667, 38.115 -5.471667, 38.115 -5.47, 38.11417 -5.47, 38.11417 -5.469167, 38.11333 -5.469167, 38.11333 -5.4675, 38.1125 -5.4675, 38.1125 -5.465, 38.11167 -5.465, 38.11167 -5.4625, 38.11083 -5.4625, 38.11083 -5.460833, 38.11 -5.460833, 38.11 -5.46, 38.10917 -5.46, 38.10917 -5.458333, 38.10833 -5.458333, 38.10833 -5.4575, 38.1075 -5.4575, 38.1075 -5.455833, 38.10583 -5.455833, 38.10583 -5.455, 38.09917 -5.455, 38.09917 -5.454167, 38.09667 -5.454167))",
 "TaxonKey is Mammalia"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011640-241126133413365/datasets/export for details.
DOI: 10.34740/kaggle/dsv/9232484
title: bcg_final
DOI: 10.15468/dl.7gwcya
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Lagocephalus guentheri Miranda Ribeiro, 1915",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011641-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ydx6nx
title: Occurrence Download

description: A dataset containing 524 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "TaxonKey is one of (Gaillardia ×grandiflora Van Houtte)"
 ]
}

 The dataset includes 524 records from 66 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011642-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.