cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.5uvpcw
title: Occurrence Download

description: A dataset containing 45658 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "TaxonKey is Cynanchum L."
 ]
}

 The dataset includes 45658 records from 709 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029840-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cjuteg
title: Occurrence Download

description: A dataset containing 1257 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Cnidoscolus multilobus (Pax) I.M.Johnst."
 ]
}

 The dataset includes 1257 records from 93 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029841-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7purk8
title: Occurrence Download

description: A dataset containing 33 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Kenya",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Opuntia engelmannii Salm-Dyck ex Engelm."
 ]
}

 The dataset includes 33 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029842-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qrxrws
title: Occurrence Download

description: A dataset containing 21375 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "TaxonKey is Cynara L."
 ]
}

 The dataset includes 21375 records from 297 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029843-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15349814
title: Projet CNDO - Sessions Underwater images collected by an Underwater Vision Census - 20210308_MDG-Toliara_UVC-01_01

description: Underwater or aerial images collected by scientists or citizens can have a wide variety of use for science, management, or conservation. These images can be annotated and shared to train IA models which can in turn predict the objects on the images. We provide a set of tools (hardware and software) to collect marine data, predict species or habitat, and provide maps..
DOI: 10.5281/zenodo.15349816
title: Projet CNDO - Sessions Underwater images collected by an Underwater Vision Census - 20210308_MDG-Toliara_UVC-01_01 - 20210308_MDG-Toliara_UVC-01_02

description: Underwater or aerial images collected by scientists or citizens can have a wide variety of use for science, management, or conservation. These images can be annotated and shared to train IA models which can in turn predict the objects on the images. We provide a set of tools (hardware and software) to collect marine data, predict species or habitat, and provide maps..
DOI: 10.15468/dl.knhx4y
title: Occurrence Download

description: A dataset containing 828 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (Eritrea, Ethiopia, Kenya, Somalia)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Opuntia ficus-indica (L.) Mill."
 ]
}

 The dataset includes 828 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029844-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dwd2bq
title: Occurrence Download

description: A dataset containing 32 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Specimen)",
 "Geometry POLYGON((6.75312 52.44773,5.73973 52.00435,6.49253 50.01913,10.34341 49.8514,13.70206 50.6475,12.45704 52.72918,8.95362 53.25203,6.75312 52.44773))",
 "HasGeospatialIssue is false",
 "TaxonKey is Valerianella locusta subsp. locusta",
 "Year 2020-2025"
 ]
}

 The dataset includes 32 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029845-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vzwckd
title: Occurrence Download

description: A dataset containing 15513 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Month is one of (October, November, December)",
 "OccurrenceStatus is Present",
 "TaxonKey is Hirundo rustica Linnaeus, 1758",
 "Year 2010-2010"
 ]
}

 The dataset includes 15513 records from 110 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029846-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.terynz
title: Occurrence Download

description: A dataset containing 5133 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Abelia chinensis R.Br., Abutilon theophrasti Medik., Acacia auriculiformis A.Cunn. ex Benth., Acacia confusa Merr., Vachellia farnesiana (L.) Wight & Arn., Acacia mangium Willd., Senegalia rugata (Lam.) Britton & Rose, Acalypha hispida Burm.f., Acalypha wilkesiana Müll.Arg., Acer buergerianum Miq., Acer campbellii Hook.fil. & Thomson ex Hiern, Acer campestre L., Acer miyabei Maxim., Acer palmatum Thunb., Acer platanoides L., Acer pseudoplatanus L., Acer saccharum Marshall, Acer truncatum Bunge, Acorus calamus L.)",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Living Specimen, Machine Observation, Literature Occurrence)",
 "Country is one of (China)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 5133 records from 51 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029849-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mu6pjc
title: Occurrence Download

description: A dataset containing 482 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Asia",
 "TaxonKey is Polystichum lonchitis (L.) Roth"
 ]
}

 The dataset includes 482 records from 38 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029851-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.veav2c
title: Occurrence Download

description: A dataset containing 323282 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Pakistan",
 "GadmGid is one of (Z06.6.1_1, PAK.5.4_1, PAK.5.7_1, PAK.5.7.2_1, PAK.4_1, PAK.4.1_1, PAK.4.1.1_1, Z06, Z06.1_1, Z06.1.1_1, PAK.5.6_1, PAK.5.6.3_1)",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 323282 records from 269 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029812-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4ue84f
title: Occurrence Download

description: A dataset containing 10 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (India, China, Myanmar, Viet Nam, Cambodia, Indonesia, Nepal, Philippines, Malaysia, Chinese Taipei, Bangladesh, Lao People’s Democratic Republic, Thailand, Bhutan)",
 "Geometry POLYGON((69.09247 13.44365,146.90753 13.44365,146.90753 44.55635,69.09247 44.55635,69.09247 13.44365))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Chunia H.T.Chang"
 ]
}

 The dataset includes 10 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029852-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ztu266
title: Occurrence Download

description: A dataset containing 165 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Kenya",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Opuntia monacantha Haw."
 ]
}

 The dataset includes 165 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029854-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.afwceg
title: Occurrence Download

description: A dataset containing 193 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (India, China, Myanmar, Viet Nam, Cambodia, Indonesia, Nepal, Philippines, Malaysia, Chinese Taipei, Bangladesh, Lao People’s Democratic Republic, Thailand, Bhutan)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Cercidiphyllum Siebold & Zucc."
 ]
}

 The dataset includes 193 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029856-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.emy7vh
title: Occurrence Download

description: A dataset containing 2361 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Dioscorea praehensilis Benth."
 ]
}

 The dataset includes 2361 records from 83 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029857-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.71819/j50d9v
title: CAJ | Monitoramento da Avifauna ETA Piraí - Abril 2025

description: Avifauna ETA Piraí - Abril 2025
DOI: 10.5281/zenodo.17591083
title: Technocratic Sovereignty
DOI: 10.5281/zenodo.17591084
title: Technocratic Sovereignty
DOI: 10.5281/zenodo.15538531
title: ENSANUT_2022_Mx_Adults
DOI: 10.5281/zenodo.15538532
title: ENSANUT_2022_Mx_Adults
DOI: 10.7910/dvn/pznlvb
title: Public Innovation Management

description: Dataset related public innovation management constructs and awarded cases of innovation in Brazil
DOI: 10.5281/zenodo.15349818
title: Projet CNDO - Sessions Underwater images collected by an Underwater Vision Census - 20210308_MDG-Toliara_UVC-01_01

description: Underwater or aerial images collected by scientists or citizens can have a wide variety of use for science, management, or conservation. These images can be annotated and shared to train IA models which can in turn predict the objects on the images. We provide a set of tools (hardware and software) to collect marine data, predict species or habitat, and provide maps..
DOI: 10.5281/zenodo.15349820
title: Projet CNDO - Sessions Underwater images collected by an Underwater Vision Census - 20210308_MDG-Toliara_UVC-01_01 - 20210308_MDG-Toliara_UVC-01_02 - 20210309_MDG-Toliara_UVC-01_01 - 20210309_MDG-Toliara_UVC-01_02

description: Underwater or aerial images collected by scientists or citizens can have a wide variety of use for science, management, or conservation. These images can be annotated and shared to train IA models which can in turn predict the objects on the images. We provide a set of tools (hardware and software) to collect marine data, predict species or habitat, and provide maps..
DOI: 10.5281/zenodo.15349826
title: Projet CNDO - Sessions Underwater images collected by an Underwater Vision Census - 20210308_MDG-Toliara_UVC-01_01 - 20210308_MDG-Toliara_UVC-01_02 - 20210309_MDG-Toliara_UVC-01_01 - 20210309_MDG-Toliara_UVC-01_02 - 20210309_MDG-Toliara_UVC-01_03

description: Underwater or aerial images collected by scientists or citizens can have a wide variety of use for science, management, or conservation. These images can be annotated and shared to train IA models which can in turn predict the objects on the images. We provide a set of tools (hardware and software) to collect marine data, predict species or habitat, and provide maps..
DOI: 10.5281/zenodo.15349830
title: Projet CNDO - Sessions Underwater images collected by an Underwater Vision Census - 20210308_MDG-Toliara_UVC-01_01 - 20210308_MDG-Toliara_UVC-01_02 - 20210309_MDG-Toliara_UVC-01_01 - 20210309_MDG-Toliara_UVC-01_02 - 20210309_MDG-Toliara_UVC-01_03 - 20210310_MDG-Toliara_UVC-01_01

description: Underwater or aerial images collected by scientists or citizens can have a wide variety of use for science, management, or conservation. These images can be annotated and shared to train IA models which can in turn predict the objects on the images. We provide a set of tools (hardware and software) to collect marine data, predict species or habitat, and provide maps..
DOI: 10.15468/dl.m6c8dt
title: Occurrence Download

description: A dataset containing 621 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (Eritrea, Ethiopia, Kenya, Somalia)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Opuntia stricta (Haw.) Haw."
 ]
}

 The dataset includes 621 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029858-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15349838
title: Projet CNDO - Sessions Underwater images collected by an Underwater Vision Census - 20210308_MDG-Toliara_UVC-01_01 - 20210308_MDG-Toliara_UVC-01_02 - 20210309_MDG-Toliara_UVC-01_01 - 20210309_MDG-Toliara_UVC-01_02 - 20210309_MDG-Toliara_UVC-01_03 - 20210310_MDG-Toliara_UVC-01_01 - 20210310_MDG-Toliara_UVC-01_02

description: Underwater or aerial images collected by scientists or citizens can have a wide variety of use for science, management, or conservation. These images can be annotated and shared to train IA models which can in turn predict the objects on the images. We provide a set of tools (hardware and software) to collect marine data, predict species or habitat, and provide maps..
DOI: 10.5281/zenodo.15349851
title: Projet CNDO - Sessions Underwater images collected by an Underwater Vision Census - 20210308_MDG-Toliara_UVC-01_01 - 20210308_MDG-Toliara_UVC-01_02 - 20210309_MDG-Toliara_UVC-01_01 - 20210309_MDG-Toliara_UVC-01_02 - 20210309_MDG-Toliara_UVC-01_03 - 20210310_MDG-Toliara_UVC-01_01 - 20210310_MDG-Toliara_UVC-01_02 - 20210310_MDG-Toliara_UVC-01_03

description: Underwater or aerial images collected by scientists or citizens can have a wide variety of use for science, management, or conservation. These images can be annotated and shared to train IA models which can in turn predict the objects on the images. We provide a set of tools (hardware and software) to collect marine data, predict species or habitat, and provide maps..
DOI: 10.5281/zenodo.15349855
title: Projet CNDO - Sessions Underwater images collected by an Underwater Vision Census - 20210308_MDG-Toliara_UVC-01_01 - 20210308_MDG-Toliara_UVC-01_02 - 20210309_MDG-Toliara_UVC-01_01 - 20210309_MDG-Toliara_UVC-01_02 - 20210309_MDG-Toliara_UVC-01_03 - 20210310_MDG-Toliara_UVC-01_01 - 20210310_MDG-Toliara_UVC-01_02 - 20210310_MDG-Toliara_UVC-01_03 - 20210311_MDG-Toliara_UVC-01_01

description: Underwater or aerial images collected by scientists or citizens can have a wide variety of use for science, management, or conservation. These images can be annotated and shared to train IA models which can in turn predict the objects on the images. We provide a set of tools (hardware and software) to collect marine data, predict species or habitat, and provide maps..
DOI: 10.5281/zenodo.15349860
title: Projet CNDO - Sessions Underwater images collected by an Underwater Vision Census - 20210308_MDG-Toliara_UVC-01_01 - 20210308_MDG-Toliara_UVC-01_02 - 20210309_MDG-Toliara_UVC-01_01 - 20210309_MDG-Toliara_UVC-01_02 - 20210309_MDG-Toliara_UVC-01_03 - 20210310_MDG-Toliara_UVC-01_01 - 20210310_MDG-Toliara_UVC-01_02 - 20210310_MDG-Toliara_UVC-01_03 - 20210311_MDG-Toliara_UVC-01_01 - 20210311_MDG-Toliara_UVC-01_02

description: Underwater or aerial images collected by scientists or citizens can have a wide variety of use for science, management, or conservation. These images can be annotated and shared to train IA models which can in turn predict the objects on the images. We provide a set of tools (hardware and software) to collect marine data, predict species or habitat, and provide maps..
DOI: 10.5281/zenodo.15397050
title: Projet CNDO - Sessions Underwater images collected by an Underwater Vision Census - 20210308_MDG-Toliara_UVC-01_01

description: Underwater or aerial images collected by scientists or citizens can have a wide variety of use for science, management, or conservation. These images can be annotated and shared to train IA models which can in turn predict the objects on the images. We provide a set of tools (hardware and software) to collect marine data, predict species or habitat, and provide maps..
DOI: 10.5281/zenodo.15397096
title: Projet CNDO - Sessions Underwater images collected by an Underwater Vision Census - 20210308_MDG-Toliara_UVC-01_01

description: Underwater or aerial images collected by scientists or citizens can have a wide variety of use for science, management, or conservation. These images can be annotated and shared to train IA models which can in turn predict the objects on the images. We provide a set of tools (hardware and software) to collect marine data, predict species or habitat, and provide maps..
DOI: 10.15468/dl.k8eku2
title: Occurrence Download

description: A dataset containing 10053 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Adenostemma lavenia (L.) Kuntze, Aegiceras corniculatum (L.) Blanco, Aesculus chinensis Bunge, Aesculus hippocastanum L., Agathis robusta (C.Moore ex F.Muell.) F.M.Bailey, Ailanthus altissima (Mill.) Swingle, Albizia julibrissin Durazz., Albizia kalkora (Roxb.) Prain, Alchornea cordifolia (Schumach. & Thonn.) Müll.Arg., Vernicia fordii (Hemsl.) Airy Shaw, Aleurites moluccanus (L.) Willd., Aleurites moluccanus (L.) Willd., Vernicia montana Lour., Alnus cremastogyne Burkill, Alnus formosana (Burkill) Makino, Alnus glutinosa (L.) Gaertn., Alnus incana (L.) Moench, Alpinia japonica (Thunb.) Miq., Alseodaphnopsis hainanensis (Merr.) H.W.Li & J.Li, Alseodaphnopsis hainanensis (Merr.) H.W.Li & J.Li, Alstonia rostrata C.E.C.Fisch., Alstonia yunnanensis Diels)",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Living Specimen, Machine Observation, Literature Occurrence)",
 "Country is one of (China)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 10053 records from 52 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029860-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4fngsw
title: Occurrence Download

description: A dataset containing 1679480 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Lophophorus sclateri Jerdon, 1870, Lophura leucomelanos (Latham, 1790), Lophura nycthemera (Linnaeus, 1758), Lophura swinhoii (Gould, 1863), Lyrurus tetrix (Linnaeus, 1758), Pavo muticus Linnaeus, 1766, Perdix dauurica (Pallas, 1811), Perdix hodgsoniae (Hodgson, 1856), Perdix perdix (Linnaeus, 1758), Phasianus colchicus Linnaeus, 1758, Polyplectron bicalcaratum (Linnaeus, 1758), Polyplectron katsumatae Rothschild, 1906, Pucrasia macrolopha (R.Lesson, 1829), Synoicus chinensis (Linnaeus, 1766), Syrmaticus ellioti (Swinhoe, 1872), Syrmaticus humiae (Hume, 1881), Syrmaticus mikado (Ogilvie-Grant, 1906), Syrmaticus reevesii (J.E.Gray, 1829), Tetrao urogalloides Middendorff, 1853, Tetrao urogallus Linnaeus, 1758, Tetraogallus altaicus (Gebler, 1836), Tetraogallus himalayensis G.R.Gray, 1843, Tetraogallus tibetanus Gould, 1854, Tetraophasis obscurus (J.Verreaux, 1869), Tetraophasis szechenyii Madarász, 1885, Tetrastes bonasia (Linnaeus, 1758), Tetrastes sewerzowi Przewalski, 1876, Tragopan blythii (Jerdon, 1870), Tragopan caboti (Gould, 1857), Tragopan melanocephalus (J.E.Gray, 1829), Tragopan satyra (Linnaeus, 1758), Tragopan temminckii (J.E.Gray, 1831), Tropicoperdix chloropus Blyth, 1859, Gavia adamsii (G.R.Gray, 1859), Gavia arctica (Linnaeus, 1758), Gavia pacifica (Lawrence, 1858), Gavia stellata (Pontoppidan, 1763), Grus antigone (Linnaeus, 1758), Grus canadensis (Linnaeus, 1758), Grus vipio Pallas, 1811, Grus grus (Linnaeus, 1758), Grus japonensis (Statius Muller, 1776), Grus monacha Temminck, 1835, Grus nigricollis Prjevalsky, 1876, Anthropoides virgo (Linnaeus, 1758), Grus leucogeranus Pallas, 1773, Porzana cinerea (Vieillot, 1819), Amaurornis phoenicurus (Pennant, 1769), Coturnicops exquisitus (Swinhoe, 1873), Crex crex (Linnaeus, 1758), Fulica atra Linnaeus, 1758, Gallicrex cinerea (Gmelin, 1789), Gallinula chloropus (Linnaeus, 1758), Gallirallus striatus (Linnaeus, 1766), Porphyrio porphyrio (Linnaeus, 1758), Porzana porzana (Linnaeus, 1766), Rallina eurizonoides (Lafresnaye, 1845), Rallina fasciata (Raffles, 1822), Rallus aquaticus Linnaeus, 1758, Rallus indicus Blyth, 1849)",
 "Geometry POLYGON((73.4990129 3.8378886,135.0873769 3.8378886,135.0873769 53.5616571,73.4990129 53.5616571,73.4990129 3.8378886))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Human Observation)"
 ]
}

 The dataset includes 1679480 records from 130 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029826-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.c4az8j
title: Occurrence Download

description: A dataset containing 1288726 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Hong Kong",
 "DatasetKey is EOD – eBird Observation Dataset",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 1288726 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029839-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vhy2uz
title: Occurrence Download

description: A dataset containing 1557 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (India, China, Myanmar, Viet Nam, Cambodia, Indonesia, Nepal, Philippines, Malaysia, Chinese Taipei, Bangladesh, Lao People’s Democratic Republic, Thailand, Bhutan)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Trochodendron Siebold & Zucc."
 ]
}

 The dataset includes 1557 records from 25 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029861-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.