cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.ht7xtq
title: Occurrence Download

description: A dataset containing 16 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Calliandra imperialis Barneby"
 ]
}

 The dataset includes 16 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018076-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7910/dvn/rguswe
title: Replication Data for: "The Effects of Storage Technology and Training on Post-Harvest Losses, Practices and Sales: Evidence from Small-Scale Farms in Tanzania"

description: This is a zipped archive containing the data files.
DOI: 10.7910/dvn/a8uxn
title: House Unpassed Legislation 1859, rejected, SC1/series 230, Petition of Henry J. Johnson

description: &lt;p&gt;Petition subject: Against the rendition of fugitive slaves &lt;/p&gt; &lt;p&gt;Original: &lt;a href="http://nrs.harvard.edu/urn-3:FHCL:11029904"&gt;http://nrs.harvard.edu/urn-3:FHCL:11029904&lt;/a&gt; &lt;/p&gt; &lt;p&gt;Date of creation: (unknown) &lt;/p&gt; &lt;p&gt;Petition location: New Bedford &lt;/p&gt; &lt;p&gt;Selected signatures:&lt;ol&gt;&lt;li&gt;Henry J. Johnson&lt;/li&gt;&lt;li&gt;Thomas Bayne&lt;/li&gt;&lt;li&gt;Noah Tellison&lt;/li&gt;&lt;li&gt;Samuel Jewett&lt;/li&gt;&lt;/ol&gt; &lt;/p&gt; &lt;p&gt;Total signatures: 51 &lt;/p&gt; &lt;p&gt;Legal voter signatures (males not identified as non-legal): 37 &lt;/p&gt; &lt;p&gt;Other male signatures: 14 &lt;/p&gt; &lt;p&gt;Female only signatures: No &lt;/p&gt; &lt;p&gt;Identifications of signatories: citizens, legal voters, others, [males of color], [other males] &lt;/p&gt; &lt;p&gt;Prayer format was &lt;a href="http://en.wikipedia.org/wiki/Printing"&gt;printed&lt;/a&gt; vs. &lt;a href="http://en.wikipedia.org/wiki/Manuscript"&gt;manuscript&lt;/a&gt;: Printed &lt;/p&gt; &lt;p&gt;Signatory column format: column separated &lt;/p&gt; &lt;p&gt;Additional non-petition or unrelated documents available at archive: no additional documents &lt;/p&gt; &lt;p&gt;Additional archivist notes: [Includes men who escaped from slavery, fugitive slaves] &lt;/p&gt; &lt;p&gt;Location of the petition at the Massachusetts Archives of the Commonwealth: House Unpassed 1859, rejected &lt;/p&gt; &lt;p&gt;Acknowledgements: Supported by the National Endowment for the Humanities (PW-5105612), Massachusetts Archives of the Commonwealth, Radcliffe Institute for Advanced Study at Harvard University, Center for American Political Studies at Harvard University, Institutional Development Initiative at Harvard University, and Harvard University Library.&lt;/p&gt;
DOI: 10.15468/dl.quw59s
title: Occurrence Download

description: A dataset listing the 3712 species recorded in GBIF matching the query:
{
 "and" : [
 "Country is South Sudan",
 "BasisOfRecord is one of (Human Observation, Specimen)"
 ]
}

 The dataset's 3712 records were derived from 127 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018067-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7910/dvn/aboap4
title: [ iTrust ] Normalized Requirement Files

description: The normalized requirements of iTrust.
DOI: 10.15468/dl.42t7jz
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Human Observation, Machine Observation, Occurrence evidence, Observation)",
 "TaxonKey is one of (Oenanthe oenanthe (Linnaeus, 1758))",
 "Country is one of (American Samoa, Australia, Christmas Island, Cocos (Keeling) Islands, Cook Islands, Fiji, French Polynesia, Guam, Heard Island and McDonald Islands, Kiribati, Marshall Islands, Micronesia (Federated States of), Nauru, New Caledonia, New Zealand, Niue, Norfolk Island, Northern Mariana Islands, Palau, Papua New Guinea, Pitcairn, Samoa, Solomon Islands, Tokelau, Tonga, Tuvalu, United States Minor Outlying Islands, Vanuatu, Wallis and Futuna)"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018078-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.11371498
title: Annotation of the genome assembly Noccaea caerulescens cira v2.3

description: The N. caerulescens cira genome assembly v2.3 was annotated using the OmicsBox suite v. 1.4.12 (www.biobam.com/omicsbox). Repetitive elements were masked using the Repeat Masking tool based on RepeatMasker v. 4.0.9 with the custom repetitive elements sequence library generated with RepeatModeler v. 2.0.1. Genes were then annotated using the Eukaryotic Gene Finder tool, based on AUGUSTUS v. 3.4.0 in which we used Arabidopsis thaliana as a model to predict coding sequences and UTR and use N. caerulescens Firmiensis RNA-Seq samples as RNA-Seq hints. The coding sequences of annotated genes were blasted (Blastp; E-value ≤ 10-5) to the ref seq_protein database limited to the Brassicaceae family and classified into protein families using InterProScan. Putative functions were annotated by Gene Ontology using Blast2GO. In addition, the function of predicted proteins was annotated with Mercator4 v2.0
DOI: 10.1184/r1/29212703
title: Blockchain Address Poisoning (Companion Dataset)

description: In many blockchains, e.g., Ethereum, Binance Smart Chain (BSC), the primary representation used for wallet addresses is a hardly memorable 40-digit hexadecimal string. As a result, users often select addresses from their recent transaction history, which enables blockchain address poisoning. The adversary first generates lookalike addresses similar to one with which the victim has previously interacted, and then engages with the victim to “poison” their transaction history. The goal is to have the victim mistakenly send tokens to the lookalike address, as opposed to the intended recipient. We develop a detection system and perform measurements over two years on Ethereum and BSC. We release the detection result dataset, including over 17 million attack attempts on Ethereum and successful payoff transfers. We also provide a jupyter notebook explaining 1) how to access the dataset, 2) how to produce descriptive statistics such as the number of poisoning transfers, and 3) how to manually verify the payoff transfer on Etherscan (BSCscan). This dataset will enable other researchers to validate our results as well as conduct further analysis. <br>
DOI: 10.1184/r1/29212703.v1
title: Blockchain Address Poisoning (Companion Dataset)

description: In many blockchains, e.g., Ethereum, Binance Smart Chain (BSC), the primary representation used for wallet addresses is a hardly memorable 40-digit hexadecimal string. As a result, users often select addresses from their recent transaction history, which enables blockchain address poisoning. The adversary first generates lookalike addresses similar to one with which the victim has previously interacted, and then engages with the victim to “poison” their transaction history. The goal is to have the victim mistakenly send tokens to the lookalike address, as opposed to the intended recipient. We develop a detection system and perform measurements over two years on Ethereum and BSC. We release the detection result dataset, including over 17 million attack attempts on Ethereum and successful payoff transfers. We also provide a jupyter notebook explaining 1) how to access the dataset, 2) how to produce descriptive statistics such as the number of poisoning transfers, and 3) how to manually verify the payoff transfer on Etherscan (BSCscan). This dataset will enable other researchers to validate our results as well as conduct further analysis. <br>
DOI: 10.15468/dl.ev72n7
title: Occurrence Download

description: A dataset containing 1602 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "Geometry POLYGON((-5.21281 33.95956,18.72335 33.95956,32.93884 33.95956,32.93884 49.20673,-5.21281 49.20673,-5.21281 33.95956))",
 "Geometry POLYGON((12.41805 45.54581,12.52358 44.25309,13.23589 44.27947,13.84268 42.6174,17.98465 40.66513,19.3829 41.5885,14.60775 45.54581,12.41805 45.54581))"
 ]
 },
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Solea solea (Linnaeus, 1758)"
 ]
}

 The dataset includes 1602 records from 60 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018079-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/nkxz2grpyr.1
title: New Strategy for Liquid Nitrogen Treatment: Dual Cotton Swab Combined Cryotherapy

description: We propose an optimized approach that combines large (8-10 mm) and small (3-5 mm) cotton swabs for liquid nitrogen cryotherapy.
DOI: 10.17632/nkxz2grpyr.2
title: New Strategy for Liquid Nitrogen Treatment: Dual Cotton Swab Combined Cryotherapy

description: We propose an optimized approach that combines large (8-10 mm) and small (3-5 mm) cotton swabs for liquid nitrogen cryotherapy.
DOI: 10.35111/1t8v-eq04
title: BabyEars Affective Vocalizations

description: <h3>Introduction</h3>
<p>BabyEars Affective Vocalizations was developed by Malcolm Slaney, Gerald McRoberts, and Jocelyn Scheirer. It contains approximately 22 minutes of spontaneous English speech by 12 adults interacting with their infant children, for a total of 509 infant-directed utterances and 185 adult-directed or neutral utterances.</p>
<h3>Data</h3>
<p>Speech data was collected in a quiet room during a one-hour session where each parent was asked to play and otherwise interact normally with their infant (aged 10-18 months). A trained research assistant then extracted discrete utterances and classified them in three categories: approval, attention and prohibition.</p>
<p>Emotional classes are indicated in the speech file names: ad (adult-directed or neutral), ap (approval), at (attention) and pr (prohibition).</p>
<p>The audio data is presented as flac compressed, one or two channel, 22 kHz, 16-bit linear PCM.</p>
DOI: 10.15468/dl.vdpmt5
title: Occurrence Download

description: A dataset containing 198 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Calliandra leptopoda Benth."
 ]
}

 The dataset includes 198 records from 46 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018080-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/pg85wxtnwd
title: Research on Spatial Morphology Analysis of Traditional Villages Based on Machine Learning and Image Segmentation

description: With the advancement of rural revitalization and urbanization, the protection of traditional village spatial forms has become an important issue to be solved. Although existing studies have used in-terdisciplinary methods to analyze the spatial morphology of traditional buildings, systematic data analysis is still insufficient in the study of traditional villages. For this reason, this study combines machine learning and image segmentation techniques to analyze the spatial morphology of tradi-tional villages in Fulin Village, Quanzhou City, by using UAV tilt photography and digital surface modeling. Through supervised machine learning classification, spatial elements such as the land use types and architectural morphology data are extracted to construct the spatial morphology dataset of the traditional village and analyze it in detail.
DOI: 10.17632/pg85wxtnwd.1
title: Research on Spatial Morphology Analysis of Traditional Villages Based on Machine Learning and Image Segmentation

description: With the advancement of rural revitalization and urbanization, the protection of traditional village spatial forms has become an important issue to be solved. Although existing studies have used in-terdisciplinary methods to analyze the spatial morphology of traditional buildings, systematic data analysis is still insufficient in the study of traditional villages. For this reason, this study combines machine learning and image segmentation techniques to analyze the spatial morphology of tradi-tional villages in Fulin Village, Quanzhou City, by using UAV tilt photography and digital surface modeling. Through supervised machine learning classification, spatial elements such as the land use types and architectural morphology data are extracted to construct the spatial morphology dataset of the traditional village and analyze it in detail.
DOI: 10.7910/dvn/a8srdn
title: Lu Chen et al 2022 Science Advances

description: fiberphotometry + ca imaging + codes
DOI: 10.15468/dl.38dbch
title: Occurrence Download

description: A dataset containing 1493900 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Human Observation, Machine Observation, Occurrence evidence, Observation)",
 "TaxonKey is one of (Oenanthe oenanthe (Linnaeus, 1758))",
 "Country is one of (Åland Islands, Albania, Andorra, Austria, Belarus, Belgium, Bosnia and Herzegovina, Bulgaria, Croatia, Czechia, Denmark, Estonia, Faroe Islands, Finland, France, Germany, Gibraltar, Greece, Guernsey, Holy See, Hungary, Iceland, Ireland, Isle of Man, Italy, Jersey, Latvia, Liechtenstein, Lithuania, Luxembourg, Malta, Moldova, Republic of, Monaco, Montenegro, Netherlands, North Macedonia, Norway, Poland, Portugal, Romania, Russian Federation, San Marino, Serbia, Slovakia, Slovenia, Spain, Svalbard and Jan Mayen, Sweden, Switzerland, Ukraine, United Kingdom of Great Britain and Northern Ireland)"
 ]
}

 The dataset includes 1493900 records from 2366 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018060-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7vvcvf
title: Occurrence Download

description: A dataset containing 815 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Capnodium Mont., 1849"
 ]
}

 The dataset includes 815 records from 80 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021507-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.60893/figshare.jcp.28953479
title: Supplementary material document

description: Document entailing some additional figures and tables.
DOI: 10.15468/dl.npj259
title: Occurrence Download

description: A dataset containing 190 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Madagascar",
 "TaxonKey is Dalbergia maritima R.Vig."
 ]
}

 The dataset includes 190 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014675-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.60893/figshare.jcp.28974275.v1
title: Supplementary Information

description: Supplementary Information to accompany the manuscript.
DOI: 10.15468/dl.acpub6
title: Occurrence Download

description: A dataset containing 14 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Chinese Taipei",
 "TaxonKey is Euploea phaenareta"
 ]
}

 The dataset includes 14 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027484-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17611/dp/21746561
title: Global ShakeMovie synthetic for January 12, 2024 MW 5.9 SOUTHEASTERN ALASKA
DOI: 10.17611/dp/21753084
title: Global ShakeMovie synthetic for January 17, 2024 MW 5.6 MINDANAO, PHILIPPINES
DOI: 10.17611/dp/21755161
title: Global ShakeMovie synthetic for January 18, 2024 MW 5.8 TONGA ISLANDS
DOI: 10.17611/dp/21755165
title: Global ShakeMovie synthetic for January 18, 2024 MW 5.6 SOUTH SANDWICH ISLANDS REGION
DOI: 10.17611/dp/21755169
title: Global ShakeMovie synthetic for January 18, 2024 MW 6.4 TONGA ISLANDS
DOI: 10.17611/dp/21756497
title: Global ShakeMovie synthetic for January 19, 2024 MW 5.5 VANUATU ISLANDS
DOI: 10.17611/dp/21756501
title: Global ShakeMovie synthetic for January 19, 2024 MW 5.6 COLOMBIA
DOI: 10.17611/dp/21761493
title: Global ShakeMovie synthetic for January 20, 2024 MW 6.2 MARIANA ISLANDS
DOI: 10.17611/dp/21761497
title: Global ShakeMovie synthetic for January 20, 2024 MW 6.7 WESTERN BRAZIL
DOI: 10.17611/dp/21761501
title: Global ShakeMovie synthetic for January 20, 2024 MW 6.2 SOUTHWEST INDIAN RIDGE
DOI: 10.17611/dp/21764105
title: Global ShakeMovie synthetic for January 22, 2024 MW 5.3 CARLSBERG RIDGE
DOI: 10.17611/dp/21764109
title: Global ShakeMovie synthetic for January 22, 2024 MW 7.0 KYRGYZSTAN-XINJIANG BORDER REG.
DOI: 10.17611/dp/21766543
title: Global ShakeMovie synthetic for January 23, 2024 MW 6.3 VANUATU ISLANDS
DOI: 10.17611/dp/21772003
title: Global ShakeMovie synthetic for January 25, 2024 MW 5.6 FLORES REGION, INDONESIA
DOI: 10.17611/dp/21777038
title: Global ShakeMovie synthetic for January 27, 2024 MW 6.1 GUATEMALA
DOI: 10.17611/dp/21779466
title: Global ShakeMovie synthetic for January 25, 2024 MW 5.4 NORTH OF ASCENSION ISLAND
DOI: 10.17611/dp/21779470
title: Global ShakeMovie synthetic for January 27, 2024 MW 5.4 EASTERN NEW GUINEA REG., P.N.G.
DOI: 10.17611/dp/21779474
title: Global ShakeMovie synthetic for January 28, 2024 MW 6.5 WESTERN BRAZIL
DOI: 10.17611/dp/21784332
title: Global ShakeMovie synthetic for January 29, 2024 MW 5.7 KYRGYZSTAN-XINJIANG BORDER REG.
DOI: 10.17611/dp/21784336
title: Global ShakeMovie synthetic for January 31, 2024 MW 5.7 SOUTH OF FIJI ISLANDS
DOI: 10.17611/dp/21796236
title: Global ShakeMovie synthetic for February 04, 2024 MW 5.5 SOUTH OF MARIANA ISLANDS
DOI: 10.17611/dp/21798161
title: Global ShakeMovie synthetic for February 06, 2024 MW 5.3 OFF COAST OF CENTRAL AMERICA
DOI: 10.17611/dp/21799818
title: Global ShakeMovie synthetic for February 09, 2024 MW 6.1 KERMADEC ISLANDS REGION
DOI: 10.17611/dp/21802503
title: Global ShakeMovie synthetic for February 09, 2024 MW 5.7 HAWAII
DOI: 10.17611/dp/21802507
title: Global ShakeMovie synthetic for February 10, 2024 MW 5.8 MINDANAO, PHILIPPINES
DOI: 10.15468/dl.yvujxf
title: Occurrence Download

description: A dataset containing 67 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Salvia caespitosa"
 ]
}

 The dataset includes 67 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027487-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17611/dp/21804591
title: Global ShakeMovie synthetic for February 12, 2024 MW 5.4 CENTRAL MID-ATLANTIC RIDGE
DOI: 10.17611/dp/21805345
title: Global ShakeMovie synthetic for February 12, 2024 MW 6.1 VOLCANO ISLANDS, JAPAN REGION
DOI: 10.17611/dp/21806093
title: Global ShakeMovie synthetic for February 14, 2024 MW 5.9 NEAR COAST OF CENTRAL CHILE
DOI: 10.17611/dp/21806097
title: Global ShakeMovie synthetic for February 14, 2024 MW 5.8 SOUTH SANDWICH ISLANDS REGION
DOI: 10.17611/dp/21806101
title: Global ShakeMovie synthetic for February 14, 2024 MW 5.9 W. CAROLINE ISLANDS, MICRONESIA
DOI: 10.17611/dp/21806105
title: Global ShakeMovie synthetic for February 14, 2024 MW 5.7 VANUATU ISLANDS REGION
DOI: 10.17611/dp/21809841
title: Global ShakeMovie synthetic for February 18, 2024 MW 5.6 TONGA ISLANDS
DOI: 10.17611/dp/21822890
title: Global ShakeMovie synthetic for February 21, 2024 MW 5.3 ADMIRALTY ISLANDS REGION, P.N.G.
DOI: 10.17611/dp/21824388
title: Global ShakeMovie synthetic for February 23, 2024 MW 6.3 SOUTHERN EAST PACIFIC RISE
DOI: 10.17611/dp/21825917
title: Global ShakeMovie synthetic for February 25, 2024 MW 5.7 JAVA, INDONESIA
DOI: 10.17611/dp/21828165
title: Global ShakeMovie synthetic for February 28, 2024 MW 5.5 RAT ISLANDS, ALEUTIAN ISLANDS
DOI: 10.17611/dp/21828169
title: Global ShakeMovie synthetic for February 29, 2024 MW 5.5 MINDANAO, PHILIPPINES
DOI: 10.17611/dp/21830772
title: Global ShakeMovie synthetic for March 01, 2024 MW 5.9 OWEN FRACTURE ZONE REGION
DOI: 10.17611/dp/21830776
title: Global ShakeMovie synthetic for March 02, 2024 MW 5.8 FIJI ISLANDS REGION
DOI: 10.17611/dp/21831530
title: Global ShakeMovie synthetic for March 03, 2024 MW 6.7 MACQUARIE ISLAND REGION
DOI: 10.17611/dp/21832321
title: Global ShakeMovie synthetic for March 04, 2024 MW 5.3 SOUTHERN SUMATRA, INDONESIA
DOI: 10.15468/dl.8db66h
title: Occurrence Download

description: A dataset containing 1941273 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is one of (GBR.1.36.23_1, GBR.1.13_1, GBR.1.36_1)",
 "OccurrenceStatus is Present",
 "TaxonKey is Aves",
 "Year 2020-2025"
 ]
}

 The dataset includes 1941273 records from 26 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0049945-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8thhyb
title: Occurrence Download

description: A dataset containing 396 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Andira galeottiana Standl."
 ]
}

 The dataset includes 396 records from 48 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021496-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nkkpq7
title: Occurrence Download

description: A dataset containing 228 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Ecuador",
 "Geometry POLYGON((-151.01217 -37.73402,15.01217 -37.73402,15.01217 28.73402,-151.01217 28.73402,-151.01217 -37.73402))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "PublishingOrg is one of (90fd6680-349f-11d8-aa2d-b8a03c50a862, bc092ff0-02e4-11dc-991f-b8a03c50a862, 8e1a97a0-3ca8-11d9-8439-b8a03c50a862, 396d5f30-dea9-11db-8ab4-b8a03c50a862, 6ba9a8cc-513a-4a51-bf93-6f5de8040a96, 19456090-b49a-11d8-abeb-b8a03c50a862, 253fc67c-c7fb-4c85-88f5-43ac6d9dc8a9, 2e149736-4cc6-44d4-a068-ccb2041baf75, ae447c50-b8a8-11d8-92a4-b8a03c50a862)",
 "TaxonKey is Dichorisandra hexandra"
 ]
}

 The dataset includes 228 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025606-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.eqkfxp
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is BOLD:ADW0823"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025609-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.