cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.yf65k6
title: Occurrence Download

description: A dataset containing 46 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((73.3667 44.67041,118.49854 44.67041,118.49854 67.39014,73.3667 67.39014,73.3667 44.67041))",
 "TaxonKey is Orobanche krylovii Beck"
 ]
}

 The dataset includes 46 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0080067-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gb7tc5
title: Occurrence Download

description: A dataset containing 1298 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "BasisOfRecord is Observation",
 "BasisOfRecord is Machine Observation",
 "BasisOfRecord is Human Observation",
 "BasisOfRecord is Material sample",
 "BasisOfRecord is Literature Occurrence",
 "BasisOfRecord is Specimen",
 "BasisOfRecord is Fossil",
 "BasisOfRecord is Living Specimen",
 "BasisOfRecord is Unknown evidence"
 ]
 },
 "Country is Colombia",
 "HasCoordinate is true",
 "TaxonKey is Amblycercus holosericeus (Deppe, 1830)",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 1298 records from 25 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001234-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gwavr6
title: Occurrence Download

description: A dataset containing 186 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Magnolia globosa Hook.f. & Thomson"
 ]
}

 The dataset includes 186 records from 34 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012222-231120084113126/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ngcnxt
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Kelp rafts in the Southern Ocean"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0043798-191105090559680/datasets/export for details.
DOI: 10.15468/dl.qv79ts
title: Occurrence Download

description: A dataset containing 1052509 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Gonepteryx rhamni (Linnaeus, 1758))",
 "Geometry POLYGON((-9.36035 44.71551,-10.59082 42.81152,-11.82129 36.80928,-7.69043 36.17336,-3.38379 35.88905,3.12012 38.13456,9.18457 38.20366,11.7334 37.16032,12.78809 34.74161,17.09473 33.79741, 23.15918 34.23451,30.10254 32.62087,33.2666 32.99024,35.72754 35.03,33.00293 35.53223,28.69629 35.17381,28.34473 36.31513,25.7959 37.50973,24.91699 39.90974,28.78418 40.6473,30.71777 41.17865,36.87012 45.213,38.18848 46.98025,38.71582 47.7541,39.94629 47.93107,40.20996 49.61071,37.0459 50.34546,35.72754 50.40152,33.79395 52.26816,31.68457 51.94426,31.4209 53.27835,32.56348 53.43572,30.98145 54.77535,30.89355 55.52863,28.43262 56.02295,27.20215 57.65716,27.37793 58.30949,27.90527 59.17593,29.66309 59.88894,27.6416 60.58697,31.50879 62.75473,28.78418 69.83962,30.89355 70.28912,29.22363 71.55274,21.75293 71.30079,14.28223 70.14036,11.38184 67.47492,4.87793 63.66576,-5.53711 71.52491,-10.63477 71.69129,-21.5332 67.74276,-28.56445 65.36684,-24.3457 61.35461,-9.36035 44.71551))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1980",
 "Year is less than or equal to 2021"
 ]
}

 The dataset includes 1052509 records from 1129 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0241679-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dp522t
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Calliteara grotei",
 {
 "or" : [
 "Country is United States of America",
 "Country is United States",
 "Country is United States of America",
 "Country is Canada",
 "Continent is North America"
 ]
 }
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0130827-210914110416597/datasets/export for details.
DOI: 10.15468/dl.a3rqds
title: Occurrence Download

description: A dataset containing 19 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Rhynchozoon globosum Harmer, 1957"
 ]
}

 The dataset includes 19 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0135060-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.78m67n
title: Occurrence Download

description: A dataset listing the 352 species recorded in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-73.87736 4.73174,-73.88114 4.73277,-73.88234 4.73089,-73.88217 4.72849,-73.8832 4.72541,-73.88337 4.72097,-73.88165 4.71926,-73.88165 4.71703,-73.8832 4.71464,-73.88337 4.71087,-73.89058 4.71447,-73.89281 4.71412,-73.89744 4.71669,-73.90053 4.71395,-73.90225 4.71121,-73.89985 4.70882,-73.90019 4.70796,-73.90208 4.70591,-73.90156 4.7042,-73.90174 4.70249,-73.90465 4.70181,-73.90637 4.70352,-73.90877 4.70129,-73.91204 4.69496,-73.91307 4.68966,-73.91221 4.68179,-73.91066 4.67221,-73.90792 4.66742,-73.90053 4.66776,-73.8971 4.66673,-73.89367 4.66228,-73.89178 4.66536,-73.89023 4.66485,-73.89075 4.66092,-73.88714 4.65955,-73.88611 4.65955,-73.88972 4.65681,-73.89075 4.6527,-73.89298 4.64928,-73.89247 4.6474,-73.8892 4.6474,-73.88629 4.65065,-73.88423 4.65373,-73.88577 4.65578,-73.88508 4.65886,-73.88526 4.66126,-73.88869 4.66297,-73.88835 4.66553,-73.88611 4.66485,-73.88388 4.66057,-73.88165 4.66246,-73.88165 4.67169,-73.8844 4.6746,-73.8832 4.68145,-73.88457 4.69068,-73.88646 4.69359,-73.88285 4.70095,-73.87633 4.70745,-73.8753 4.71207,-73.86964 4.70865,-73.86912 4.7066,-73.87564 4.7054,-73.87805 4.70249,-73.87753 4.69992,-73.87444 4.69804,-73.86861 4.69924,-73.86655 4.69907,-73.86277 4.70129,-73.86277 4.70677,-73.86208 4.70779,-73.86122 4.70625,-73.86019 4.70095,-73.86483 4.69753,-73.86328 4.69222,-73.86517 4.69034,-73.85968 4.68042,-73.86208 4.67323,-73.86363 4.66263,-73.86019 4.66074,-73.85504 4.66074,-73.85676 4.6563,-73.85453 4.65407,-73.85007 4.6539,-73.84835 4.65424,-73.84496 4.65029,-73.84067 4.64857,-73.83569 4.65063,-73.83586 4.65713,-73.82831 4.66004,-73.82436 4.66209,-73.82436 4.66722,-73.82917 4.66363,-73.83191 4.66346,-73.83088 4.66586,-73.83655 4.66603,-73.835 4.66825,-73.83226 4.67253,-73.83157 4.67561,-73.82642 4.67766,-73.82573 4.67886,-73.82693 4.68177,-73.82917 4.68296,-73.82882 4.68433,-73.82659 4.6857,-73.82745 4.68741,-73.82333 4.68861,-73.82178 4.69015,-73.82299 4.69477,-73.8235 4.70264,-73.82762 4.70435,-73.83174 4.70418,-73.8326 4.70572,-73.83706 4.70401,-73.84238 4.70076,-73.84547 4.70332,-73.84719 4.70794,-73.84925 4.70948,-73.85268 4.70846,-73.85354 4.70726,-73.8532 4.71188,-73.85028 4.72454,-73.84788 4.73001,-73.84719 4.73292,-73.84925 4.73497,-73.85183 4.7348,-73.85715 4.72676,-73.85715 4.72471,-73.85509 4.72248,-73.85749 4.71547,-73.8623 4.71273,-73.86487 4.71496,-73.86436 4.71889,-73.86813 4.72043,-73.86916 4.72642,-73.87105 4.72762,-73.87448 4.72693,-73.87586 4.73087,-73.87672 4.73121,-73.87736 4.73174))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Plantae"
 ]
}

 The dataset's 352 records were derived from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0314857-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xvr6j5
title: Occurrence Download

description: A dataset containing 6 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Grosmannia wageneri (Goheen & F.W.Cobb) Zipfel, Z.W.de Beer & M.J.Wingf.",
 {
 "not" : {
 "DatasetKey" : [
 "is Global database of alien macrofungi"
 ]
 }
 },
 {
 "or" : [
 "Country is United States of America",
 "Country is United States",
 "Country is United States of America",
 "Country is Canada",
 "Continent is North America"
 ]
 }
 ]
}

 The dataset includes 6 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0133650-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.85e9u8
title: Occurrence Download

description: A dataset containing 4614 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Taraxacum ceratophorum (Ledeb.) DC."
 ]
}

 The dataset includes 4614 records from 127 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005666-230810091245214/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.aassp2
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Osteochilus repang Popta, 1904"
 ]
}

 The dataset includes 2 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0334552-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.us6owe
title: Occurrence Download

description: A dataset containing 6398 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "TaxonKey is Anas americana J.F.Gmelin, 1789"
 ]
}

 The dataset includes 6398 records from 44 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000832-200127171203522/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.azfu6b
title: Occurrence Download

description: A dataset containing 31 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Amaranthus blitum subsp. oleraceus (L.) Costea"
 ]
}

 The dataset includes 31 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0119077-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2xatve
title: Occurrence Download

description: A dataset containing 449628 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pelecanus conspicillatus Temminck, 1824"
 ]
}

 The dataset includes 449628 records from 105 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0386237-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.34rxgn
title: Occurrence Download

description: A dataset containing 298 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Nepal",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Ciconia nigra (Linnaeus, 1758)",
 "Year 2019-2022"
 ]
}

 The dataset includes 298 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0182971-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.c2m66c
title: Occurrence Download

description: A dataset containing 254 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Melichneutes robustus (Bates, 1909)"
 ]
}

 The dataset includes 254 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0403027-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dt2k77
title: Occurrence Download

description: A dataset containing 2411 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Geometry POLYGON((62 24,108 24,108 50,62 50,62 24))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 {
 "or" : [
 "TaxonKey is Picea D.Don ex Loudon, 1838",
 "TaxonKey is Picea A.Dietr.",
 "TaxonKey is Picea Link, 1830"
 ]
 }
 ]
}

 The dataset includes 2411 records from 33 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0182973-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34816/ifao.archives.157819
title: DEIR EL-MÉDINA_di_2004_00169

description: Référence : di_2004_00169<br />Site : Deir el-Médina<br />Secteur : Second caveau (TT_359 (Inherkhâouy)); TT_359 (Inherkhâouy)<br />Type : photographie<br />
DOI: 10.15468/dl.jrhkqy
title: Occurrence Download

description: A dataset containing 11555 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Solanales",
 "Geometry POLYGON((95 -20,150 -20,150 16,95 16,95 -20))",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is Fossil"
 ]
 }
 },
 "HasCoordinate is true",
 "Year is greater than or equal to 2000",
 "CoordinateUncertaintyInMeters is less than 2000",
 "HasGeospatialIssue is false",
 "License is one of (CC-BY-NC 4.0, CC-BY 4.0, CC0 1.0)"
 ]
}

 The dataset includes 11555 records from 29 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0141953-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bakntg
title: Occurrence Download

description: A dataset containing 271 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Korea, Republic of",
 "IucnRedListCategory is CR",
 "TaxonKey is Plantae",
 "Year 2020-2024"
 ]
}

 The dataset includes 271 records from 26 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005830-250914085247600/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8h86vr
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Cottus leiopomus)",
 "BasisOfRecord is one of (Specimen, Literature Occurrence, Human Observation, Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1991",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 3 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005833-250914085247600/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17129925
title: Dataset for "Intrinsic electrical magnetochiral anisotropy in trigonal tellurium from first principles"
DOI: 10.5281/zenodo.17129926
title: Dataset for "Intrinsic electrical magnetochiral anisotropy in trigonal tellurium from first principles"
DOI: 10.21227/cyx3-3713
title: "USC Drone-Based Channel Measurement Data"

description: "This 3.5 GHz drone-based wireless channel measurement dataset, collected at the University of Southern California (USC), spans a 200 m \u00d7 200 m outdoor area and is designed to support research in next-generation wireless systems. The dataset contains large-scale channel measurements in realistic outdoor environments, where a drone-mounted transmitter emulates an aerial access point. In total, more than 30,000 drone positions were captured, along with 128 ground user positions organized into clusters.The dataset enables a wide range of studies in beyond-5G and 6G systems, including:Cell-free massive MIMO system tradeoffs comparing concentrated versus semi-distributed versus fully-distributed antenna deployments,Spatial non-stationarity and its impact on multi-antenna system design,Air-to-ground propagation characteristics within non-terrestrial networks,Path loss modeling and large-scale channel statistics in outdoor environments.By offering a comprehensive and well-documented measurement campaign, this dataset provides the community with a benchmark resource for validating theoretical models, evaluating algorithms, and guiding the design of robust next-generation wireless networks. It is intended to support both academic research and industrial development, bridging the gap between theoretical analysis and practical deployment insights."
DOI: 10.5878/agvb-9w53
title: Ocean Data Survey Sweden 2023 - Survey response data
title: Ocean Data Survey Sweden 2023 - Enkätsvarsdata

description: Ocean Data Survey Sweden 2023 aimed to highlight the trends, technologies, and challenges in using ocean data in Sweden in 2023.

Ocean Data Survey Sweden 2023 was an online survey conducted 5 December 2023 to 15 January 2024. The survey was anonymous and contained 32 multiple choice questions. The survey was launched in a mail-out to the Ocean Data Factory Sweden email contact list (which contained a link to the survey), which was then re-shared by recipients to their own contact networks. The survey was open - anyone with the link could respond. 

The survey included both questions about the respondent's individual relation with ocean data (eg "Approximately how many years of experience with ocean data do you have?") and about the respondent's organization (eg. "What is the main type of ocean data your organisation collects?"), but because the survey was anonymous there was no way to limit responses to one-response-per-organization. The responses are subjective self-assessments, not necessarily corresponding with the official view of the organizations these individuals work at. 

Twenty-five individuals responded, a few choosing not to respond all questions.
description: Ocean Data Survey Sweden 2023 syftade till att lyfta fram trender, teknologier och utmaningar med att använda havsdata i Sverige 2023.

Ocean Data Survey Sweden 2023 var en onlineundersökning som genomfördes 5 december 2023 till 15 januari 2024. Undersökningen var anonym och innehöll 32 flervalsfrågor. Undersökningen lanserades i ett utskick till Ocean Data Factory Swedens e-postkontaktlista (som innehöll en länk till undersökningen), som sedan delades vidare av mottagarna till sina egna kontaktnätverk. Enkäten var öppen - vem som helst med länken kunde svara.

Undersökningen inkluderade både frågor om respondentens individuella relation till havsdata (t.ex. "Ungefär hur många års erfarenhet av havsdata har du?") och om respondentens organisation (t.ex. "Vilken är den huvudsakliga typen av havsdata din organisation samlar in?"), men eftersom undersökningen var anonym fanns det inget sätt att begränsa svar till ett svar per organisation.

Tjugofem personer svarade, några valde att inte svara på alla frågor. Svaren är subjektiva självbedömningar, som inte nödvändigtvis överensstämmer med den officiella synen på de organisationer som dessa individer arbetar på.
DOI: 10.5878/1td7-6q14
title: Ocean Data Survey Sweden 2023 - Survey response data
title: Ocean Data Survey Sweden 2023 - Enkätsvarsdata

description: Ocean Data Survey Sweden 2023 aimed to highlight the trends, technologies, and challenges in using ocean data in Sweden in 2023.

Ocean Data Survey Sweden 2023 was an online survey conducted 5 December 2023 to 15 January 2024. The survey was anonymous and contained 32 multiple choice questions. The survey was launched in a mail-out to the Ocean Data Factory Sweden email contact list (which contained a link to the survey), which was then re-shared by recipients to their own contact networks. The survey was open - anyone with the link could respond. 

The survey included both questions about the respondent's individual relation with ocean data (eg "Approximately how many years of experience with ocean data do you have?") and about the respondent's organization (eg. "What is the main type of ocean data your organisation collects?"), but because the survey was anonymous there was no way to limit responses to one-response-per-organization. The responses are subjective self-assessments, not necessarily corresponding with the official view of the organizations these individuals work at. 

Twenty-five individuals responded, a few choosing not to respond all questions.
description: Ocean Data Survey Sweden 2023 syftade till att lyfta fram trender, teknologier och utmaningar med att använda havsdata i Sverige 2023.

Ocean Data Survey Sweden 2023 var en onlineundersökning som genomfördes 5 december 2023 till 15 januari 2024. Undersökningen var anonym och innehöll 32 flervalsfrågor. Undersökningen lanserades i ett utskick till Ocean Data Factory Swedens e-postkontaktlista (som innehöll en länk till undersökningen), som sedan delades vidare av mottagarna till sina egna kontaktnätverk. Enkäten var öppen - vem som helst med länken kunde svara.

Undersökningen inkluderade både frågor om respondentens individuella relation till havsdata (t.ex. "Ungefär hur många års erfarenhet av havsdata har du?") och om respondentens organisation (t.ex. "Vilken är den huvudsakliga typen av havsdata din organisation samlar in?"), men eftersom undersökningen var anonym fanns det inget sätt att begränsa svar till ett svar per organisation.

Tjugofem personer svarade, några valde att inte svara på alla frågor. Svaren är subjektiva självbedömningar, som inte nödvändigtvis överensstämmer med den officiella synen på de organisationer som dessa individer arbetar på.
DOI: 10.15468/dl.g3cew6
title: Occurrence Download

description: A dataset containing 16472 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Spain",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Salix atrocinerea"
 ]
}

 The dataset includes 16472 records from 60 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005834-250914085247600/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3azxkc
title: Occurrence Download

description: A dataset containing 3438 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Spain",
 "Geometry POLYGON((-0.78002 42.89991,-1.06102 42.70955,-1.32389 42.39229,-1.35109 42.04784,-1.76806 41.99345,-1.84057 41.72152,-2.07625 41.40426,-2.12157 41.18671,-1.79525 41.05074,-1.56864 40.64283,-1.72273 40.43435,-1.6049 40.28025,-1.33296 40.02645,-0.98851 39.95393,-0.85254 39.82703,-0.68938 39.99925,-0.39025 40.23493,-0.23615 40.44341,-0.24521 40.66096,0.12643 40.68816,0.27147 40.85132,0.38024 41.20484,0.38024 41.47677,0.46182 41.63087,0.5706 41.88468,0.67031 41.99345,0.78814 42.39229,0.77908 42.62797,0.63405 42.73674,0.15363 42.73674,-0.20896 42.79113,-0.52621 42.8002,-0.78002 42.89991))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Pinus halepensis"
 ]
}

 The dataset includes 3438 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005836-250914085247600/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.