cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25573/data.10042688.v25
title: San Lorenzo Crane_Wind Speed

description: San Lorenzo (Formerly know as Fort Sherman) Canopy Access Crane. <br><br>Wind speed, interval max/min/avg<br>Established in 1997, the San Lorenzo canopy crane (9.281031°, -79.974518°) is located approximately 11 km South West from the city of Colon, in the middle the Parque Natural San Lorenzo (formerly known as Fort Sherman) and is surrounded by 300-year old, low-land tropical rainforest
DOI: 10.25573/data.10042679.v25
title: San Lorenzo Crane_Precipitation

description: San Lorenzo (Formerly know as Fort Sherman) Canopy Access Crane. <br><br>Precipitation, interval total<br>Established in 1997, the San Lorenzo canopy crane (9.281031°, -79.974518°) is located approximately 11 km South West from the city of Colon, in the middle the Parque Natural San Lorenzo (formerly known as Fort Sherman) and is surrounded by 300-year old, low-land tropical rainforest
DOI: 10.18738/t8/sywimy/uitfie
title: robbins_2018_PairDatabase_Analysis.tab

description: :unav
DOI: 10.18738/t8/sywimy/nynpzh
title: a00000007.gdbtable
DOI: 10.18738/t8/sywimy/nozvzk
title: a0000000b.horizon
DOI: 10.18738/t8/sywimy/brpd8t
title: a00000007.CatRelTypesByUUID.atx
DOI: 10.18738/t8/sywimy/hm2ok9
title: a00000007.CatRelTypesByBackwardLabel.atx
DOI: 10.18738/t8/sywimy/o4cdla
title: a00000006.FDO_UUID.atx
DOI: 10.18738/t8/sywimy/9dt66b
title: a0000000a.gdbindexes
DOI: 10.18738/t8/sywimy/dxlb4c
title: a00000005.gdbindexes
DOI: 10.18738/t8/sywimy/rjpkzn
title: a00000005.gdbtable
DOI: 10.18738/t8/sywimy/e7ap83
title: a0000000b.spx
DOI: 10.18738/t8/sywimy/b6ared
title: a00000004.spx
DOI: 10.18738/t8/sywimy/yxsj85
title: a0000000b.gdbindexes
DOI: 10.18738/t8/sywimy/jbamiv
title: a00000006.gdbtable
DOI: 10.18738/t8/sywimy/w76llz
title: a0000000a.horizon
DOI: 10.18738/t8/sywimy/4mf1bi
title: a00000004.CatItemsByType.atx
DOI: 10.18738/t8/sywimy/deqs2v
title: a00000005.CatItemTypesByParentTypeID.atx
DOI: 10.18738/t8/sywimy/p6jbvd
title: a00000003.gdbtablx
DOI: 10.18738/t8/sywimy/bbgkq4
title: a0000000c.spx
DOI: 10.18738/t8/sywimy/xilmbu
title: a00000004.gdbindexes
DOI: 10.18738/t8/sywimy/ljifrc
title: a00000007.gdbtablx
DOI: 10.18738/t8/sywimy/2zab3o
title: a00000003.gdbindexes
DOI: 10.18738/t8/sywimy/9ztuch
title: a00000007.CatRelTypesByForwardLabel.atx
DOI: 10.18738/t8/sywimy/j2rajs
title: a0000000b.gdbtable
DOI: 10.18738/t8/sywimy/cd9whz
title: a00000004.FDO_UUID.atx
DOI: 10.18738/t8/sywimy/kraikp
title: a0000000c.gdbtablx
DOI: 10.18738/t8/sywimy/2yigkv
title: a00000002.gdbtable
DOI: 10.18738/t8/sywimy/6ny49k
title: a00000007.gdbindexes
DOI: 10.18738/t8/sywimy/knkwjw
title: a00000003.gdbtable
DOI: 10.18738/t8/sywimy/ti7rnk
title: a00000001.gdbtable
DOI: 10.18738/t8/sywimy/h96me8
title: a00000007.CatRelTypesByName.atx
DOI: 10.18738/t8/sywimy/8cllvx
title: a00000009.gdbtable
DOI: 10.18738/t8/sywimy/8k67qn
title: a0000000c.horizon
DOI: 10.18738/t8/sywimy/ihm2mm
title: a00000006.CatRelsByDestinationID.atx
DOI: 10.18738/t8/sywimy/sztxal
title: a00000009.gdbindexes
DOI: 10.18738/t8/sywimy/zlc91y
title: a00000005.CatItemTypesByName.atx
DOI: 10.18738/t8/sywimy/mjmpxg
title: a00000001.TablesByName.atx
DOI: 10.18738/t8/sywimy/aqnaj5
title: a0000000a.gdbtable
DOI: 10.18738/t8/sywimy/u79vph
title: a00000006.CatRelsByType.atx
DOI: 10.18738/t8/sywimy/lxpd7b
title: a0000000a.gdbtablx
DOI: 10.18738/t8/sywimy/zlrddq
title: a00000002.gdbtablx
DOI: 10.18738/t8/sywimy/p99ufn
title: a00000004.gdbtablx
DOI: 10.18738/t8/sywimy/ebxxgd
title: a00000009.spx
DOI: 10.18738/t8/sywimy/aiimbk
title: a00000004.CatItemsByPhysicalName.atx
DOI: 10.18738/t8/sywimy/ihwhzy
title: a00000004.gdbtable
DOI: 10.18738/t8/sywimy/nt5jr3
title: a00000004.horizon
DOI: 10.18738/t8/sywimy/lqebhc
title: a0000000a.spx
DOI: 10.18738/t8/sywimy/ijeggz
title: a00000006.gdbindexes
DOI: 10.18738/t8/sywimy/hfmwo9
title: a00000001.gdbtablx
DOI: 10.18738/t8/sywimy/vbestf
title: a0000000c.gdbtable
DOI: 10.18738/t8/sywimy/fw1rqg
title: a00000007.CatRelTypesByOriginItemTypeID.atx
DOI: 10.18738/t8/sywimy/yg3uup
title: a00000006.gdbtablx
DOI: 10.18738/t8/sywimy/4ml5dy
title: gdb
DOI: 10.18738/t8/sywimy/7nr565
title: a0000000b.gdbtablx
DOI: 10.18738/t8/sywimy/ja1qnm
title: timestamps
DOI: 10.18738/t8/sywimy/u5dspe
title: a00000005.gdbtablx
DOI: 10.18738/t8/sywimy/9wgvaq
title: a0000000c.gdbindexes
DOI: 10.18738/t8/sywimy/cft3zj
title: a00000006.CatRelsByOriginID.atx
DOI: 10.18738/t8/sywimy/fkcqkw
title: a00000001.gdbindexes
DOI: 10.18738/t8/sywimy/8es316
title: a00000007.CatRelTypesByDestItemTypeID.atx
DOI: 10.18738/t8/sywimy/t0m4hq
title: a00000009.gdbtablx
DOI: 10.18738/t8/sywimy/mppydb
title: a00000009.horizon
DOI: 10.18738/t8/sywimy/zhyhgv
title: a00000005.CatItemTypesByUUID.atx
DOI: 10.18738/t8/sywimy/m2xvyc
title: GenerateYoungerCraterWheels.py
DOI: 10.18738/t8/sywimy/bu2qps
title: AnalyzeYoungerCraterWheels.py
DOI: 10.18738/t8/sywimy/jogzsn
title: WORKFLOW_README.txt
DOI: 10.18738/t8/sywimy/whlrnl
title: ProfileAnalysisWheels.py
DOI: 10.18738/t8/sywimy/g8t1cw
title: craterIntersectArc_Wheels.py
DOI: 10.18738/t8/sywimy/qvh1et
title: ArchiveContents.txt

description: :unav
DOI: 10.18738/t8/sywimy/cvylzs
title: ArchiveContents.txt
DOI: 10.25573/data.10068095.v7
title: SST_Galeta Channel

description: Sea Surface temperature monitoring in the outflow channel in front of the Galeta Station pier<br>Location (more exact coordinates available on request): 9.40 -79.85<br>Depth: 3m<br>Status: Active<br>
DOI: 10.15468/dl.b8gf5m
title: Occurrence Download

description: A dataset containing 47593 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Adiantum capillus-veneris L."
 ]
}

 The dataset includes 47593 records from 887 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020956-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25573/data.10068077.v5
title: SST_Bahia Las Minas

description: Sea Surface temperature monitoring in Bahía de Las Minas<br>Location (more exact coordinates available on request): 9.40 -79.82<br>Status: Active<br>
DOI: 10.15468/dl.9p738c
title: Occurrence Download

description: A dataset containing 11 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is South America",
 "Country is Peru",
 "IucnRedListCategory is one of (LC, NT, EN)",
 "OccurrenceStatus is Present",
 "TaxonKey is Pteronura brasiliensis Zimmermann, 1780"
 ]
}

 The dataset includes 11 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020957-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.35djmg
title: Occurrence Download

description: A dataset containing 1668233 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is one of (Alopias superciliosus Lowe, 1841, Alopias vulpinus (Bonnaterre, 1788), Balaenoptera borealis Lesson, 1828, Balaenoptera musculus (Linnaeus, 1758), Calidris pusilla (Linnaeus, 1766), Carcharhinus falciformis (Müller & Henle, 1839), Carcharhinus obscurus (Lesueur, 1818), Carcharhinus porosus (Ranzani, 1839), Carcharhinus signatus (Poey, 1868), Centrophorus squamosus (Bonnaterre, 1788), Centrophorus uyato (Rafinesque, 1810), Centroscymnus owstonii Garman, 1906, Dermochelys coriacea (Vandelli, 1761), Heptranchias perlo (Bonnaterre, 1788), Hexanchus griseus (Bonnaterre, 1788), Istiophorus platypterus (Shaw, 1792), Isurus oxyrinchus Rafinesque, 1810, Isurus paucus Guitart, 1966, Lepidochelys olivacea (Eschscholtz, 1829), Makaira nigricans Lacepède, 1802, Mobula hypostoma (Bancroft, 1831), Neoharriotta carri Bullis & Carpenter, 1966, Physeter macrocephalus Linnaeus, 1758, Prionace glauca (Linnaeus, 1758), Pseudorca crassidens (Owen, 1846), Pterodroma hasitata (Kuhl, 1820), Rhincodon typus Smith, 1828, Rhizoprionodon porosus (Poey, 1861), Sotalia guianensis (P.-J.van Bénéden, 1864), Thunnus obesus (Lowe, 1839), Xiphias gladius Linnaeus, 1758)"
 ]
}

 The dataset includes 1668233 records from 1527 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020940-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.k2kn8p
title: Occurrence Download

description: A dataset containing 61778 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Africa",
 "TaxonKey is Mammalia",
 "Year 2023-2024"
 ]
}

 The dataset includes 61778 records from 31 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019925-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17637/rh.27046120
title: No escape from microplastics

description: Datasets and code for publication: No escape from microplastics: Contamination of reef manta ray feeding areas in a remote, protected archipelago
DOI: 10.17637/rh.27046120.v1
title: No escape from microplastics

description: Datasets and code for publication: No escape from microplastics: Contamination of reef manta ray feeding areas in a remote, protected archipelago
DOI: 10.15468/dl.tnsvhk
title: Occurrence Download

description: A dataset containing 530 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Ormosia coccinea (Aubl.) Jacks."
 ]
}

 The dataset includes 530 records from 83 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019927-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7vs75y
title: Occurrence Download

description: A dataset containing 4054 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Kielmeyera appariciana Saddi, Kielmeyera pumila Pohl, Kielmeyera lathrophyton Saddi, Kielmeyera rupestris Duarte, Kielmeyera rosea Mart., Kielmeyera cuspidata Saddi, Caraipa rodriguesii Paula, Caraipa spuria Rodr., Caraipa minor Huber, Caraipa caespitosa F.N.Cabral, Caraipa grandifolia Mart., Caraipa savannarum Kubitzki, Caraipa longisepala Kubitzki, Caraipa utilis R.Vásquez, Caraipa densifolia Mart., Caraipa foveolata Huber, Caraipa heterocarpa Ducke, Caraipa punctulata Ducke, Caraipa tereticaulis Tul., Caraipa aracaensis Kubitzki, Caraipa richardiana Cambess., Haploclathra grandiflora Aspl., Haploclathra paniculata (Mart.) Benth., Haploclathra cordata R.Vásquez)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 {
 "or" : [
 {
 "not" : {
 "EstablishmentMeans" : [
 "is one of (MANAGED, INTRODUCED)"
 ]
 }
 },
 "EstablishmentMeans is null"
 ]
 }
 ]
}

 The dataset includes 4054 records from 142 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019928-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.13135834
title: Multi-ancestry genome-wide association statistics of anxiety

description: Multi-Ancestry Genome-Wide Association Statistics of Anxiety

Citation: Friligkou E, Lokhammer S, Cabrera Mendoza B, Shen J, He J, Deiana G, Zanoaga MD, Asgel Z, Pilcher A, Di Lascio L, Makharashvili A, Koller D, Tylee D, Pathak GA, Polimanti R. Gene Discovery and Biological Insights into Anxiety Disorders from a Large-Scale Multi-Ancestry Genome-wide Association Study. Nat Genet. doi: 10.1038/s41588-024-01908-2.
DOI: 10.5281/zenodo.13135833
title: Multi-ancestry genome-wide association statistics of anxiety

description: Multi-Ancestry Genome-Wide Association Statistics of Anxiety

Citation: Friligkou E, Lokhammer S, Cabrera Mendoza B, Shen J, He J, Deiana G, Zanoaga MD, Asgel Z, Pilcher A, Di Lascio L, Makharashvili A, Koller D, Tylee D, Pathak GA, Polimanti R. Gene Discovery and Biological Insights into Anxiety Disorders from a Large-Scale Multi-Ancestry Genome-wide Association Study. Nat Genet. doi: 10.1038/s41588-024-01908-2.
DOI: 10.60893/figshare.bmf.26863624
title: Supporting Information

description: Supporting information containing - 1. Detailed Brown-Anson model analysis and cyclic voltammetry plots.
2. Confocal microscope images and micro-PIV analysis of flow patterns and droplet shape.
3. Interaction energy profiles between PS and PSA on PDMS substrates.
4. XLVO interaction energy data tables.
DOI: 10.60893/figshare.bmf.26863624.v1
title: Supporting Information

description: Supporting information containing - 1. Detailed Brown-Anson model analysis and cyclic voltammetry plots.
2. Confocal microscope images and micro-PIV analysis of flow patterns and droplet shape.
3. Interaction energy profiles between PS and PSA on PDMS substrates.
4. XLVO interaction energy data tables.
DOI: 10.15468/dl.j37e2f
title: Occurrence Download

description: A dataset containing 165318 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is iNaturalist Research-grade Observations",
 "Geometry POLYGON((29.53749 -30.65841,32.04718 -30.65841,32.04718 -28.9273,29.53749 -28.9273,29.53749 -30.65841))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 165318 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019881-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.s6rubc
title: Occurrence Download

description: A dataset containing 9 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Liparis hallei Szlach."
 ]
}

 The dataset includes 9 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019931-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8waz8j
title: Occurrence Download

description: A dataset containing 277 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "TaxonKey is Chiloschista Lindl."
 ]
}

 The dataset includes 277 records from 37 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019932-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kfwsb2
title: Occurrence Download

description: A dataset containing 2150 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Myroxylon balsamum (L.) Harms"
 ]
}

 The dataset includes 2150 records from 188 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019933-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.thhe6d
title: Occurrence Download

description: A dataset containing 28 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "TaxonKey is Holothuria languens Selenka, 1867"
 ]
}

 The dataset includes 28 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019934-240906103802322/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.26206881
title: Active Learning for a Recursive Non-Additive Emulator for Multi-Fidelity Computer Experiments

description: Computer simulations have become essential for analyzing complex systems, but high-fidelity simulations often come with significant computational costs. To tackle this challenge, multi-fidelity computer experiments have emerged as a promising approach that leverages both low-fidelity and high-fidelity simulations, enhancing both the accuracy and efficiency of the analysis. In this article, we introduce a new and flexible statistical model, the <i>Recursive Non-Additive (RNA) emulator</i>, that integrates the data from multi-fidelity computer experiments. Unlike conventional multi-fidelity emulation approaches that rely on an additive auto-regressive structure, the proposed RNA emulator recursively captures the relationships between multi-fidelity data using Gaussian process priors without making the additive assumption, allowing the model to accommodate more complex data patterns. Importantly, we derive the posterior predictive mean and variance of the emulator, which can be efficiently computed in a closed-form manner, leading to significant improvements in computational efficiency. Additionally, based on this emulator, we introduce four active learning strategies that optimize the balance between accuracy and simulation costs to guide the selection of the fidelity level and input locations for the next simulation run. We demonstrate the effectiveness of the proposed approach in a suite of synthetic examples and a real-world problem. An R package RNAmf for the proposed methodology is provided on CRAN.
DOI: 10.6084/m9.figshare.26206881.v1
title: Active Learning for a Recursive Non-Additive Emulator for Multi-Fidelity Computer Experiments

description: Computer simulations have become essential for analyzing complex systems, but high-fidelity simulations often come with significant computational costs. To tackle this challenge, multi-fidelity computer experiments have emerged as a promising approach that leverages both low-fidelity and high-fidelity simulations, enhancing both the accuracy and efficiency of the analysis. In this article, we introduce a new and flexible statistical model, the <i>Recursive Non-Additive (RNA) emulator</i>, that integrates the data from multi-fidelity computer experiments. Unlike conventional multi-fidelity emulation approaches that rely on an additive auto-regressive structure, the proposed RNA emulator recursively captures the relationships between multi-fidelity data using Gaussian process priors without making the additive assumption, allowing the model to accommodate more complex data patterns. Importantly, we derive the posterior predictive mean and variance of the emulator, which can be efficiently computed in a closed-form manner, leading to significant improvements in computational efficiency. Additionally, based on this emulator, we introduce four active learning strategies that optimize the balance between accuracy and simulation costs to guide the selection of the fidelity level and input locations for the next simulation run. We demonstrate the effectiveness of the proposed approach in a suite of synthetic examples and a real-world problem. An R package RNAmf for the proposed methodology is provided on CRAN.
DOI: 10.5281/zenodo.13774068
title: Divergence time and environmental similarity predict the strength of morphological convergence in stick and leaf insects

description: This uploads contains the datasets, phylogenetic tree and associated R code used to generate the results reported in the article: "Divergence time and environmental similarity predict the strength of morphological convergence in stick and leaf insects" published in Proceedings of the National Academy of Sciences USA (2024).A detailed explanation of datasetS1 can be found in the supplementary data of the article.
DOI: 10.5281/zenodo.13774069
title: Divergence time and environmental similarity predict the strength of morphological convergence in stick and leaf insects

description: This uploads contains the datasets, phylogenetic tree and associated R code used to generate the results reported in the article: "Divergence time and environmental similarity predict the strength of morphological convergence in stick and leaf insects" published in Proceedings of the National Academy of Sciences USA (2024).A detailed explanation of datasetS1 can be found in the supplementary data of the article.
DOI: 10.15468/dl.526k3f
title: Occurrence Download

description: A dataset containing 148347 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Euterpe broadwayi Becc. ex Broadway, Euterpe precatoria Mart., Euterpe catinga Wallace, Euterpe edulis Mart., Euterpe oleracea Mart., Neonicholsonia watsonii Dammer, Oenocarpus bacaba Mart., Oenocarpus mapora H.Karst., Oenocarpus balickii F.Kahn, Oenocarpus minor Mart., Oenocarpus distichus Mart., Oenocarpus simplex R.Bernal, Galeano & A.J.Hend., Oenocarpus bataua Mart., Prestoea acuminata (Willd.) H.E.Moore, Prestoea tenuiramosa (Dammer) H.E.Moore, Prestoea carderi (W.Bull) Hook.f., Prestoea longipetiolata (Oerst.) H.E.Moore, Prestoea ensiformis (Ruiz & Pav.) H.E.Moore, Prestoea decurrens H.E.Moore, Prestoea pubens H.E.Moore, Prestoea schultzeana (Burret) H.E.Moore, Hyospathe macrorhachis Burret, Hyospathe peruviana A.J.Hend., Hyospathe elegans Mart., Hyospathe frontinensis A.J.Hend., Hyospathe wendlandiana Dammer ex Burret, Hyospathe pittieri Burret)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 {
 "or" : [
 {
 "not" : {
 "EstablishmentMeans" : [
 "is one of (MANAGED, INTRODUCED)"
 ]
 }
 },
 "EstablishmentMeans is null"
 ]
 }
 ]
}

 The dataset includes 148347 records from 362 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019930-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cbj5g5
title: Occurrence Download

description: A dataset containing 658 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Country is Spain",
 "TaxonKey is Quercus canariensis Willd."
 ]
}

 The dataset includes 658 records from 36 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019935-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.t2ygxg
title: Occurrence Download

description: A dataset containing 108046 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-75.0193 17.38262,-67.79211 17.04433,-67.79211 20.35038,-73.98904 20.35038,-75.0193 17.38262))",
 "OccurrenceStatus is Present",
 "TaxonKey is Plantae"
 ]
}

 The dataset includes 108046 records from 210 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019929-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.