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

description: A dataset containing 95172 records in GBIF matching the query:

 SELECT gbifid, datasetkey, specieskey, kingdom, phylum, class, "order", family, genus, species, scientificname, decimallatitude, decimallongitude, eventdate, institutioncode, "year" AS obs_year, basisofrecord, coordinateuncertaintyinmeters, issue
 FROM occurrence
 WHERE
 decimallatitude IS NOT NULL
 AND decimallongitude IS NOT NULL
 AND NOT ARRAY_CONTAINS(issue, 'ZERO_COORDINATE')
 AND NOT ARRAY_CONTAINS(issue, 'COORDINATE_OUT_OF_RANGE')
 AND NOT ARRAY_CONTAINS(issue, 'COORDINATE_INVALID')
 AND NOT ARRAY_CONTAINS(issue, 'COUNTRY_COORDINATE_MISMATCH')
 AND "year" &gt;= 2015
 AND "year" &lt;= 2026
 AND coordinateuncertaintyinmeters IS NOT NULL
 AND coordinateuncertaintyinmeters &gt; 0
 AND coordinateuncertaintyinmeters &lt;= 200.0
 AND decimallatitude &gt;= 33.06103686093294
 AND decimallatitude &lt;= 37.42857426825602
 AND decimallongitude &gt;= 122.45456395408395
 AND decimallongitude &lt;= 132.39748012632572
 AND GBIF_Within('POLYGON ((132.397480 33.061037, 132.397480 37.428574, 122.454564 37.428574, 122.454564 33.061037, 132.397480 33.061037))', decimallatitude, decimallongitude) = TRUE
 

 The dataset's 95172 records were derived from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001847-260208012135463/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.31290478
title: Medicinal Flora of Australia

description: Customary Medicinal Flora of Australia
DOI: 10.6084/m9.figshare.31290478.v1
title: Medicinal Flora of Australia

description: Customary Medicinal Flora of Australia
DOI: 10.71947/arim.jpmxp1225os9001-33
title: OS-127：レーザーラマン顕微鏡によるPEDOT：PSSのラマン分光
DOI: 10.71947/arim.jpmxp1225os9001-34
title: OS-127：レーザーラマン顕微鏡によるCuSCNのラマン分光
DOI: 10.71947/arim.jpmxp1225os9001-35
title: OS-127：レーザーラマン顕微鏡によるDPP-DTTのラマン分光
DOI: 10.71947/arim.jpmxp1225os9001-36
title: OS-127：レーザーラマン顕微鏡によるPBDTTPDのラマン分光
DOI: 10.71947/arim.jpmxp1225os9001-37
title: OS-127：レーザーラマン顕微鏡によるPBDTTT-CFのラマン分光
DOI: 10.71947/arim.jpmxp1225os9001-38
title: OS-127：レーザーラマン顕微鏡によるPCDTBTのラマン分光
DOI: 10.71947/arim.jpmxp1225os9001-39
title: OS-127：レーザーラマン顕微鏡によるPFN-Brのラマン分光
DOI: 10.71947/arim.jpmxp1225os9001-40
title: OS-127：レーザーラマン顕微鏡によるSi-PCPDTBTのラマン分光
DOI: 10.71947/arim.jpmxp1225os9001-41
title: OS-127：レーザーラマン顕微鏡によるTQ1のラマン分光
DOI: 10.71947/arim.jpmxp1225os9001-42
title: OS-127：レーザーラマン顕微鏡によるIEICO-4Fのラマン分光
DOI: 10.71947/arim.jpmxp1225os9001-43
title: OS-127：レーザーラマン顕微鏡によるO-IDTBRのラマン分光
DOI: 10.71947/arim.jpmxp1225os9001-44
title: OS-127：レーザーラマン顕微鏡によるPhen-NaDPOのラマン分光
DOI: 10.71947/arim.jpmxp1225os9001-45
title: OS-127：レーザーラマン顕微鏡によるPTQ10のラマン分光
DOI: 10.34740/kaggle/dsv/14778151
title: BITCOIN Historical Datasets 2018-2026 Binance API
DOI: 10.71947/arim.jpmxp1225os9001-46
title: OS-127：レーザーラマン顕微鏡によるSpiro-MeOTADのラマン分光
DOI: 10.15468/dl.a9d5bc
title: Occurrence Download

description: A dataset containing 1925 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Mustela nigripes"
 ]
}

 The dataset includes 1925 records from 57 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001853-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18529737
title: Materials for Thematic Map Generation System (code, data, trained weights)

description: This release contains the complete thematic map generation package, including source code, runtime scripts, training datasets, project-trained checkpoints, and demo inputs.

Code and web/API workflow are provided under app/, with a headless reproducibility script in scripts/run_demo.py.

Training datasets are included under datasets/Controlnet training data/ and datasets/LoRA training data/.

Project-trained checkpoints are included under models/Controlnet/Colorization.ckpt and models/Lora/Map symbol.safetensors.

Demo reproducibility inputs are included under data/presentation/ (province map GeoJSON + matched POI GeoJSON).

To reproduce a deterministic baseline output, run: python scripts/run_demo.py --demo beijing --seed 42 --with-legend. This command (fixed seed = 42) generates a stable reference output for reviewer-side verification. The Stable Diffusion 1.5 base model is not distributed in this archive; please download it separately as documented in README.md.
DOI: 10.5281/zenodo.18529738
title: Materials for Thematic Map Generation System (code, data, trained weights)

description: This release contains the complete thematic map generation package, including source code, runtime scripts, training datasets, project-trained checkpoints, and demo inputs.

Code and web/API workflow are provided under app/, with a headless reproducibility script in scripts/run_demo.py.

Training datasets are included under datasets/Controlnet training data/ and datasets/LoRA training data/.

Project-trained checkpoints are included under models/Controlnet/Colorization.ckpt and models/Lora/Map symbol.safetensors.

Demo reproducibility inputs are included under data/presentation/ (province map GeoJSON + matched POI GeoJSON).

To reproduce a deterministic baseline output, run: python scripts/run_demo.py --demo beijing --seed 42 --with-legend. This command (fixed seed = 42) generates a stable reference output for reviewer-side verification. The Stable Diffusion 1.5 base model is not distributed in this archive; please download it separately as documented in README.md.
DOI: 10.5281/zenodo.17445540
title: The cyclin dependent kinase (CDK)7 inhibitor BS-181 inhibits pathogenic Cryptococcus species, causing G2/M arrest and a splicing defect
DOI: 10.5281/zenodo.18025772
title: The cyclin dependent kinase (CDK)7 inhibitor BS-181 inhibits pathogenic Cryptococcus species, causing G2/M arrest and a splicing defect
DOI: 10.6084/m9.figshare.31290400
title: File deleted

description: The file has been deleted.
DOI: 10.6084/m9.figshare.31290400.v3
title: File deleted

description: The file has been deleted.
DOI: 10.6084/m9.figshare.31290400.v2
title: <b>Transcriptomic Analysis of the Effects of Temperature on Urediniospore Germination of </b>

description: Wheat stripe rust, caused by<i> </i><i>Puccinia striiformis</i> f. sp. <i>Tritici</i> (<i>Pst</i>), occurs in wheat-producing regions worldwide and poses a serious threat to global agricultural production and food security. Different physiological races of <i>Pst</i> exhibit variations in temperature sensitivity. With global climate change, <i>Pst</i> continues to mutate, which affects the occurrence and epidemic of wheat stripe rust as well as the population composition of <i>Pst</i>. This study focuses on CYR32, CYR33, and CYR34, which are important physiological races of <i>Pst</i> currently prevalent in China. With 9℃ as the control, the relative germination rate of urediniospores was determined after 24 hours of cultivation on 0.1% water agar medium under five temperature treatments: 20°C, 22°C, 24°C, 26°C, and 28°C.Transcriptomic sequencing was performed on 18 Psturediniospore samples subjected to these temperature treatments, yielding a total transcriptomic dataset of 117.52 Gb. And the molecular mechanism by which temperature affects the germination of Psturediniospores was analyzed. The results showed that the RNA-seq data in this study were of high quality and free from contamination. After annotating the differentially expressed genes (DEGs) of Pstunder different temperature treatments, the results revealed that the largest number of annotated DEGs were involved in metabolic or metabolism-related pathways. These findings provide a basis for further exploring the adaptive mechanism of Pstto temperature and conducting effective management of wheat stripe rust.
DOI: 10.15468/dl.nf8xw5
title: Occurrence Download

description: A dataset containing 19422 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Cynomys ludovicianus"
 ]
}

 The dataset includes 19422 records from 142 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001854-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9pr4ts
title: Occurrence Download

description: A dataset containing 139720 records in GBIF matching the query:

 SELECT gbifid, datasetkey, specieskey, kingdom, phylum, class, "order", family, genus, species, scientificname, decimallatitude, decimallongitude, eventdate, institutioncode, "year" AS obs_year, basisofrecord, coordinateuncertaintyinmeters, issue
 FROM occurrence
 WHERE
 decimallatitude IS NOT NULL
 AND decimallongitude IS NOT NULL
 AND NOT ARRAY_CONTAINS(issue, 'ZERO_COORDINATE')
 AND NOT ARRAY_CONTAINS(issue, 'COORDINATE_OUT_OF_RANGE')
 AND NOT ARRAY_CONTAINS(issue, 'COORDINATE_INVALID')
 AND NOT ARRAY_CONTAINS(issue, 'COUNTRY_COORDINATE_MISMATCH')
 AND "year" &gt;= 2015
 AND "year" &lt;= 2026
 AND coordinateuncertaintyinmeters IS NOT NULL
 AND coordinateuncertaintyinmeters &gt; 0
 AND coordinateuncertaintyinmeters &lt;= 200.0
 AND decimallatitude &gt;= 33.06103686093294
 AND decimallatitude &lt;= 37.42857426825602
 AND decimallongitude &gt;= 128.0206804974514
 AND decimallongitude &lt;= 138.1538923057312
 AND GBIF_Within('POLYGON ((138.153892 33.061037, 138.153892 37.428574, 128.020680 37.428574, 128.020680 33.061037, 138.153892 33.061037))', decimallatitude, decimallongitude) = TRUE
 

 The dataset's 139720 records were derived from 25 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001852-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17605/osf.io/46ws5
title: Bio Manufacturing Innovation — Can the Foundry Model Work in Biotech Too? (UNEXA Korea Perspective)

description: This commentary explores whether the foundry model, which transformed the semiconductor industry, can also succeed in biomanufacturing. While the answer is yes, the model must adapt to the unique challenges of biology—namely variability, regulatory complexity, speed, quality, and intellectual property constraints. Unlike semiconductors, biotech products are living systems, making reproducibility and regulatory-grade reliability more critical than simple cost reduction.

The analysis argues that bio foundries become transformative not by acting as outsourced factories, but by providing standardized interfaces from design to production to validation, supported by data, software, and process intelligence. The most defensible competitive advantage will come from a Process Operating System—the accumulated manufacturing data and know-how that enables consistent, high-quality output. Ultimately, bio foundries may both democratize innovation by lowering entry barriers and concentrate power by centralizing manufacturing expertise.
DOI: 10.15468/dl.nwm7nr
title: Occurrence Download

description: A dataset containing 140397542 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is iNaturalist Research-grade Observations"
 ]
}

 The dataset includes 140397542 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001836-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nynzze
title: Occurrence Download

description: A dataset containing 28597 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Asia",
 "Country is Indonesia",
 "GadmGid is IDN.22_1",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 28597 records from 111 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001857-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.s8fg98
title: Occurrence Download

description: A dataset containing 68273 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Otis tarda"
 ]
}

 The dataset includes 68273 records from 218 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001849-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.px4zr3
title: Occurrence Download

description: A dataset containing 222410 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Metacarcinus",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 222410 records from 82 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001848-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18529749
title: Data and code for "Large megathrust earthquakes in cold mantle wedge corners under lawsonite blueschist facies"

description: Data and code for "Large megathrust earthquakes in cold mantle wedge corners under lawsonite blueschist facies" by Zhang et al.
DOI: 10.5281/zenodo.18529748
title: Data and code for "Large megathrust earthquakes in cold mantle wedge corners under lawsonite blueschist facies"

description: Data and code for "Large megathrust earthquakes in cold mantle wedge corners under lawsonite blueschist facies" by Zhang et al.
DOI: 10.5281/zenodo.18529552
title: SuperDARN data in netCDF format (2020-Oct)

description: 2020-Oct SuperDARN radar data in netCDF format. These files were produced using version 3.0 of the public FitACF algorithm, using the AACGM v2 coordinate system. Cite this dataset if using our data in a publication.


The RST is available here: https://github.com/SuperDARN/rst



The research enabled by SuperDARN is due to the efforts of teams of scientists and engineers working in many countries to build and operate radars, process data and provide access, develop and improve data products, and assist users in interpretation.
Users of SuperDARN data and data products are asked to acknowledge this support in presentations and publications.
A brief statement on how to acknowledge use of SuperDARN data is provided below.




Users are also asked to consult with a SuperDARN PI prior to submission of work intended for publication.
A listing of radars and PIs with contact information can be found here:
(SuperDARN Radar Overview)



Recommended form of acknowledgement for the use of SuperDARN data:



'The authors acknowledge the use of SuperDARN data. SuperDARN is a collection of radars funded by national scientific funding agencies of Australia, Canada, China, France, Italy, Japan, Norway, South Africa, United Kingdom and the United States of America.'
DOI: 10.5281/zenodo.7308996
title: SuperDARN data in netCDF format (2020-Oct)

description: 2020-Oct SuperDARN radar data in netCDF format. These files were produced using version 3.0 of the public FitACF algorithm, using the AACGM v2 coordinate system. Cite this dataset if using our data in a publication.


The RST is available here: https://github.com/SuperDARN/rst



The research enabled by SuperDARN is due to the efforts of teams of scientists and engineers working in many countries to build and operate radars, process data and provide access, develop and improve data products, and assist users in interpretation.
Users of SuperDARN data and data products are asked to acknowledge this support in presentations and publications.
A brief statement on how to acknowledge use of SuperDARN data is provided below.




Users are also asked to consult with a SuperDARN PI prior to submission of work intended for publication.
A listing of radars and PIs with contact information can be found here:
(SuperDARN Radar Overview)



Recommended form of acknowledgement for the use of SuperDARN data:



'The authors acknowledge the use of SuperDARN data. SuperDARN is a collection of radars funded by national scientific funding agencies of Australia, Canada, China, France, Italy, Japan, Norway, South Africa, United Kingdom and the United States of America.'
DOI: 10.57760/sciencedb.37120
title: A Numerical Simulation Study on the Reduction Performance of Ship Resistance with Bionic Hydrofoil Appendages
title: A Numerical Simulation Study on the Reduction Performance of Ship Resistance with Bionic Hydrofoil Appendages

description: Data disclosure used in the paper.
description: Data disclosure used in the paper.
DOI: 10.15468/dl.qbunp9
title: Occurrence Download

description: A dataset containing 322519 records in GBIF matching the query:

 SELECT gbifid, datasetkey, specieskey, kingdom, phylum, class, "order", family, genus, species, scientificname, decimallatitude, decimallongitude, eventdate, institutioncode, "year" AS obs_year, basisofrecord, coordinateuncertaintyinmeters, issue
 FROM occurrence
 WHERE
 decimallatitude IS NOT NULL
 AND decimallongitude IS NOT NULL
 AND NOT ARRAY_CONTAINS(issue, 'ZERO_COORDINATE')
 AND NOT ARRAY_CONTAINS(issue, 'COORDINATE_OUT_OF_RANGE')
 AND NOT ARRAY_CONTAINS(issue, 'COORDINATE_INVALID')
 AND NOT ARRAY_CONTAINS(issue, 'COUNTRY_COORDINATE_MISMATCH')
 AND "year" &gt;= 2015
 AND "year" &lt;= 2026
 AND coordinateuncertaintyinmeters IS NOT NULL
 AND coordinateuncertaintyinmeters &gt; 0
 AND coordinateuncertaintyinmeters &lt;= 200.0
 AND decimallatitude &gt;= 33.06103686093294
 AND decimallatitude &lt;= 37.42857426825602
 AND decimallongitude &gt;= 133.58679704081885
 AND decimallongitude &lt;= 143.91030448513666
 AND GBIF_Within('POLYGON ((143.910304 33.061037, 143.910304 37.428574, 133.586797 37.428574, 133.586797 33.061037, 143.910304 33.061037))', decimallatitude, decimallongitude) = TRUE
 

 The dataset's 322519 records were derived from 37 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001856-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18529718
title: Assessment of antibody responses to Anopheles SG6-P1 and Aedes N-term 34kDa salivary peptides: a randomised human-challenge trial of controlled exposures to vector bites: data sets.

description: Code and data associated with the randomised trial to characterise the antibody response to salivary peptides following controlled human exposure to Southeast Asian mosquito vectors.

 

Citation: Ellen A. Kearney, Victor Chaumeau, Praphan Wasisakun, Sunisa Sawasdichai, Aye Aye Aung, Paul A. Agius, Thaw Htwe Min, Daniela da Silva Gonçalves, Katherine O'Flaherty, Angeline Rouers, Sarang Aryalamloed, Gay Nay Htoo, Mu Phang Sue, Naw Moo Tha, Naw Chanida, Gornpan Gornsawun, Sadudee Chotirat, Julie A. Simpson, Laurent Rénia, François Nosten and Freya J. I. Fowkes. Assessment of antibody responses to Anopheles SG6-P1 and Aedes N-term 34kDa salivary peptides: a randomised human-challenge trial of controlled exposures to vector bites: data sets. Github. 2026.
DOI: 10.5281/zenodo.18529717
title: Assessment of antibody responses to Anopheles SG6-P1 and Aedes N-term 34kDa salivary peptides: a randomised human-challenge trial of controlled exposures to vector bites: data sets.

description: Code and data associated with the randomised trial to characterise the antibody response to salivary peptides following controlled human exposure to Southeast Asian mosquito vectors.

 

Citation: Ellen A. Kearney, Victor Chaumeau, Praphan Wasisakun, Sunisa Sawasdichai, Aye Aye Aung, Paul A. Agius, Thaw Htwe Min, Daniela da Silva Gonçalves, Katherine O'Flaherty, Angeline Rouers, Sarang Aryalamloed, Gay Nay Htoo, Mu Phang Sue, Naw Moo Tha, Naw Chanida, Gornpan Gornsawun, Sadudee Chotirat, Julie A. Simpson, Laurent Rénia, François Nosten and Freya J. I. Fowkes. Assessment of antibody responses to Anopheles SG6-P1 and Aedes N-term 34kDa salivary peptides: a randomised human-challenge trial of controlled exposures to vector bites: data sets. Github. 2026.
DOI: 10.15468/dl.ny728s
title: Occurrence Download

description: A dataset containing 4222023 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Observation)",
 "Continent is Asia",
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Aves",
 "Year 2010-2025"
 ]
}

 The dataset includes 4222023 records from 33 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001851-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gb4s23
title: Occurrence Download

description: A dataset containing 37 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "OccurrenceStatus is Present",
 "TaxonKey is Anisacanthus tulensis"
 ]
}

 The dataset includes 37 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001864-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3nnrqs
title: Occurrence Download

description: A dataset containing 21 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "OccurrenceStatus is Present",
 "TaxonKey is Aphelandra verticillata"
 ]
}

 The dataset includes 21 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001865-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.q65e5j
title: Occurrence Download

description: A dataset containing 1623 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Anolis mariarum"
 ]
}

 The dataset includes 1623 records from 33 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001867-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4p4pts
title: Occurrence Download

description: A dataset containing 2613822 records in GBIF matching the query:

 SELECT gbifid, datasetkey, specieskey, kingdom, phylum, class, "order", family, genus, species, scientificname, decimallatitude, decimallongitude, eventdate, institutioncode, "year" AS obs_year, basisofrecord, coordinateuncertaintyinmeters, issue
 FROM occurrence
 WHERE
 decimallatitude IS NOT NULL
 AND decimallongitude IS NOT NULL
 AND NOT ARRAY_CONTAINS(issue, 'ZERO_COORDINATE')
 AND NOT ARRAY_CONTAINS(issue, 'COORDINATE_OUT_OF_RANGE')
 AND NOT ARRAY_CONTAINS(issue, 'COORDINATE_INVALID')
 AND NOT ARRAY_CONTAINS(issue, 'COUNTRY_COORDINATE_MISMATCH')
 AND "year" &gt;= 2015
 AND "year" &lt;= 2026
 AND coordinateuncertaintyinmeters IS NOT NULL
 AND coordinateuncertaintyinmeters &gt; 0
 AND coordinateuncertaintyinmeters &lt;= 200.0
 AND decimallatitude &gt;= 37.42857426825602
 AND decimallatitude &lt;= 41.89415215079384
 AND decimallongitude &gt;= -125.87556979961315
 AND decimallongitude &lt;= -115.12824358810933
 AND GBIF_Within('POLYGON ((-115.128244 37.428574, -115.128244 41.894152, -125.875570 41.894152, -125.875570 37.428574, -115.128244 37.428574))', decimallatitude, decimallongitude) = TRUE
 

 The dataset's 2613822 records were derived from 137 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001863-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.