cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.18277255
title: Frailea phaeodisca (Speg.) Backeb. & F.M.Knuth. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:47
DOI: 10.5281/zenodo.18277256
title: Frailea phaeodisca (Speg.) Backeb. & F.M.Knuth. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:47
DOI: 10.15468/dl.n3j8fh
title: Occurrence Download

description: A dataset containing 5250 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (China, Hong Kong, Macao, Chinese Taipei)",
 "TaxonKey is Sphagneticola trilobata"
 ]
}

 The dataset includes 5250 records from 25 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016097-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18277257
title: Frailea pumila Britton & Rose. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:47
DOI: 10.5281/zenodo.18277258
title: Frailea pumila Britton & Rose. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:47
DOI: 10.15468/dl.3uuj4k
title: Occurrence Download

description: A dataset containing 304 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pomacea canaliculata",
 "Country is China",
 "Year is greater than or equal to 1990",
 "Year is less than or equal to 2026",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 304 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016098-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18277260
title: Frailea pygmaea Britton & Rose. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:47
DOI: 10.5281/zenodo.18277253
title: SGUFT G-closure V13.2 (BHS2b): Adjudicable Black-Hole Microstate Counting Robustness Suite with 7-Point Area Scan and 2×4 Regularizer–Truncation Matrix (r_lin / r_log / r_conv + Canonical-Hash Dedup Audit) — RUN_G_BHSMICRO_0002_BHS2b

description: This record archives the SGUFT G-closure V13.2 layer (BHS2b), an adjudicable (PASS/FAIL) robustness suite for black-hole microstate counting in a spectral-geometry setting. The microstate-counting proxy is formulated via a Hessian log-determinant evidence object, while adjudication focuses on stability under controlled perturbations rather than absolute normalization.BHS2b strengthens the evidence over the minimal BHS2 layer by enforcing: (i) a ≥7-point effective-area (A_eff) scale scan; (ii) a frozen 2×4 matrix of regularization families (HK/LP) and truncation levels (N=64,128,256,512); (iii) three auditable residuals—r_lin (area-law linear-fit residual), r_log (log-term drift across regularizer/truncation settings with a safe normalization), and r_conv (convergence residual across the truncation ladder); and (iv) a canonical-hash deduplication audit to control equivalence-class overcounting.Adjudication depends only on declared outputs together with audit/manifest under frozen thresholds; explanatory materials, if present, are excluded from adjudication. This record contains three artifacts: (1) the minimal reproducibility pack (only_pack), (2) the full evidence pack (evidence_pack), and (3) the summary pack (summary_pack) with CSV/JSON summaries and regeneration scripts.
DOI: 10.5281/zenodo.18277254
title: SGUFT G-closure V13.2 (BHS2b): Adjudicable Black-Hole Microstate Counting Robustness Suite with 7-Point Area Scan and 2×4 Regularizer–Truncation Matrix (r_lin / r_log / r_conv + Canonical-Hash Dedup Audit) — RUN_G_BHSMICRO_0002_BHS2b

description: This record archives the SGUFT G-closure V13.2 layer (BHS2b), an adjudicable (PASS/FAIL) robustness suite for black-hole microstate counting in a spectral-geometry setting. The microstate-counting proxy is formulated via a Hessian log-determinant evidence object, while adjudication focuses on stability under controlled perturbations rather than absolute normalization.BHS2b strengthens the evidence over the minimal BHS2 layer by enforcing: (i) a ≥7-point effective-area (A_eff) scale scan; (ii) a frozen 2×4 matrix of regularization families (HK/LP) and truncation levels (N=64,128,256,512); (iii) three auditable residuals—r_lin (area-law linear-fit residual), r_log (log-term drift across regularizer/truncation settings with a safe normalization), and r_conv (convergence residual across the truncation ladder); and (iv) a canonical-hash deduplication audit to control equivalence-class overcounting.Adjudication depends only on declared outputs together with audit/manifest under frozen thresholds; explanatory materials, if present, are excluded from adjudication. This record contains three artifacts: (1) the minimal reproducibility pack (only_pack), (2) the full evidence pack (evidence_pack), and (3) the summary pack (summary_pack) with CSV/JSON summaries and regeneration scripts.
DOI: 10.5281/zenodo.18277259
title: Frailea pygmaea Britton & Rose. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:47
DOI: 10.15468/dl.8mq7j7
title: Occurrence Download

description: A dataset containing 516 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (Chinese Taipei, China, Hong Kong, Macao)",
 "TaxonKey is Sphagneticola calendulacea"
 ]
}

 The dataset includes 516 records from 35 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016100-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18277273
title: Frailea schilinzkyana (F.Haage & K.Schum.) Britton & Rose. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:47
DOI: 10.5281/zenodo.18277274
title: Frailea schilinzkyana (F.Haage & K.Schum.) Britton & Rose. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:47
DOI: 10.5281/zenodo.17259745
title: HDMA Raw Data Metadata

description: This metadata record provides details of the raw data produced from the SHARE-seq experiments for the HDMA study (Liu et al. bioRxiv 2025).

Summary

De-identified tissue samples were collected at Stanford University School of Medicine from elective termination of pregnancy procedures with informed consent for the research use of tissues in observance of relevant legal and institutional ethical regulations. SHARE-seq was performed on isolated nuclei (Methods, Note S1).

In total, N=76 samples were profiled, from across 10-23 post-conception weeks, and covering a total of 12 tissues. The full list of samples, along with experimental batch, age, and sex, is provided in Supplementary Table 1.

SHARE-seq library raw data files

All DNA libraries were sequenced on a NovaSeq 6000 using 300-cycle S4 v1.5 reagent kits with XP workflow. Paired-end sequencing was run with a 96-99-8-96 configuration (Read1-Index1-Index2-Read2). Sequencing was performed at the Stanford Genome Technology Center.

We developed a highly parallelized, rapid, and storage-efficient pre-processing pipeline to convert BCL files from sequencers to ATAC fragment files and RNA sparse matrices (Fig. S1, Methods, and available in full at https://github.com/GreenleafLab/shareseq-pipeline (stable release v1.0.0).

The raw data is in the form of anonymized FASTQs pairs per sample per data modality, and have been deposited to SRA (PRJNA1402391). Reads have been anonymized using Bamboozle. 

SHARE-seq library processed data

Processed data in the form of fragments per sample (ATAC modality) and gene expression count matrices (RNA modality) are provided. The full list of datasets deposited is provided in Supplementary Table 14.
DOI: 10.5281/zenodo.17259746
title: HDMA Raw Data Metadata

description: This metadata record provides details of the raw data produced from the SHARE-seq experiments for the HDMA study (Liu et al. bioRxiv 2025).

Summary

De-identified tissue samples were collected at Stanford University School of Medicine from elective termination of pregnancy procedures with informed consent for the research use of tissues in observance of relevant legal and institutional ethical regulations. SHARE-seq was performed on isolated nuclei (Methods, Note S1).

In total, N=76 samples were profiled, from across 10-23 post-conception weeks, and covering a total of 12 tissues. The full list of samples, along with experimental batch, age, and sex, is provided in Supplementary Table 1.

SHARE-seq library raw data files

All DNA libraries were sequenced on a NovaSeq 6000 using 300-cycle S4 v1.5 reagent kits with XP workflow. Paired-end sequencing was run with a 96-99-8-96 configuration (Read1-Index1-Index2-Read2). Sequencing was performed at the Stanford Genome Technology Center.

We developed a highly parallelized, rapid, and storage-efficient pre-processing pipeline to convert BCL files from sequencers to ATAC fragment files and RNA sparse matrices (Fig. S1, Methods, and available in full at https://github.com/GreenleafLab/shareseq-pipeline (stable release v1.0.0).

The raw data is in the form of anonymized FASTQs pairs per sample per data modality, and have been deposited to SRA (PRJNA1402391). Reads have been anonymized using Bamboozle. 

SHARE-seq library processed data

Processed data in the form of fragments per sample (ATAC modality) and gene expression count matrices (RNA modality) are provided. The full list of datasets deposited is provided in Supplementary Table 14.
DOI: 10.5281/zenodo.18277277
title: Francoaceae A.Juss. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:47
DOI: 10.5281/zenodo.18277278
title: Francoaceae A.Juss. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:47
DOI: 10.5281/zenodo.18277150
title: SuperDARN data in netCDF format (1997-Jan)

description: 1997-Jan 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.6809195
title: SuperDARN data in netCDF format (1997-Jan)

description: 1997-Jan 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: 10.15468/dl.ysnmpb
title: Occurrence Download

description: A dataset containing 778 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is iNaturalist Research-grade Observations",
 "MediaType is Audio",
 "Year is 2010"
 ]
}

 The dataset includes 778 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016101-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18277282
title: Frailea perumbilicata F.Ritter. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:47
DOI: 10.5281/zenodo.18277283
title: Frailea perumbilicata F.Ritter. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:47
DOI: 10.5281/zenodo.18277287
title: Fraxinus L. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:47
DOI: 10.5281/zenodo.18277288
title: Fraxinus L. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:47
DOI: 10.5281/zenodo.18277291
title: Fraxinus excelsior L. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:47
DOI: 10.5281/zenodo.18277292
title: Fraxinus excelsior L. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:47
DOI: 10.5281/zenodo.18277305
title: Fraxinus pensylvanica Marshall. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:47
DOI: 10.5281/zenodo.18277304
title: Fraxinus pensylvanica Marshall. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:47
DOI: 10.15468/dl.j2qwzz
title: Occurrence Download

description: A dataset containing 6629 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Xeno-canto - Bird sounds from around the world",
 "MediaType is Audio",
 "Year is 2005"
 ]
}

 The dataset includes 6629 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016102-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18277314
title: Freesia Klatt. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:47
DOI: 10.5281/zenodo.18277313
title: Freesia Klatt. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:47
DOI: 10.15468/dl.722kuy
title: Occurrence Download

description: A dataset containing 227774 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Terpsiphone paradisi",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Geometry POLYGON((-180 -90, 180 -90, 180 90, -180 90, -180 -90))"
 ]
}

 The dataset includes 227774 records from 65 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016092-260108223611665/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.31080847
title: <b>Deciphering Asthma via the Multidimensional Exposome and </b><b>Integrative Genetic Analyses</b>

description: This dataset contains the complete results from a comprehensive exposome-wide association study (ExWAS) on asthma, conducted using the UK Biobank cohort. The dataset includes summary-level results from epidemiological analyses exploring the associations between multidimensional exposome factors and asthma risk.Specifically, the dataset provides:Results from Cox proportional hazards models with all subsequent covariate adjustments across the entire exposome;Summary results from ExWAS for both the training and test cohortsAll data are presented in aggregated, non-identifiable form to ensure participant privacy and comply with UK Biobank data access policies. The dataset is intended to support transparency, reproducibility, and secondary analyses for researchers interested in asthma etiology.
DOI: 10.5281/zenodo.18277301
title: The Miranova Matrix: An Operational Framework for Spacetime Emergence in BFSS Matrix Theory

description: The Miranova Matrix presents an operational framework for understanding spacetime emergence in BFSS Matrix Theory.

By conceptualising fundamental updates as discrete ticks, the framework distinguishes causal depth from emergent experienced time. Minimal generative structures and branching dynamics define lower bounds for system evolution, providing a coherent lens for observers and histories. This approach reframes temporal perception and offers a lens for exploring nonlocal time, irreversibility, and observer-embedded structures.

This document is a speculative conceptual framework informed by existing work in matrix models and M-theory, particularly the BFSS matrix formulation.
DOI: 10.6084/m9.figshare.31080847.v1
title: <b>Deciphering Asthma via the Multidimensional Exposome and </b><b>Integrative Genetic Analyses</b>

description: This dataset contains the complete results from a comprehensive exposome-wide association study (ExWAS) on asthma, conducted using the UK Biobank cohort. The dataset includes summary-level results from epidemiological analyses exploring the associations between multidimensional exposome factors and asthma risk.Specifically, the dataset provides:Results from Cox proportional hazards models with all subsequent covariate adjustments across the entire exposome;Summary results from ExWAS for both the training and test cohortsAll data are presented in aggregated, non-identifiable form to ensure participant privacy and comply with UK Biobank data access policies. The dataset is intended to support transparency, reproducibility, and secondary analyses for researchers interested in asthma etiology.
DOI: 10.5281/zenodo.18277324
title: Freesia laxa (Thunb.) Goldblatt & J.C.Manning. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:47
DOI: 10.5281/zenodo.18277323
title: Freesia laxa (Thunb.) Goldblatt & J.C.Manning. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:47
DOI: 10.5281/zenodo.18277329
title: Freesia leichtlinii Klatt. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:47
DOI: 10.5281/zenodo.18277330
title: Freesia leichtlinii Klatt. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:47
DOI: 10.34740/kaggle/dsv/14524424
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.5281/zenodo.18277334
title: Freesia leichtlinii subsp. alba (G.L.Mey.) J.C.Manning & Goldblatt. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:47
DOI: 10.5281/zenodo.18277333
title: Freesia leichtlinii subsp. alba (G.L.Mey.) J.C.Manning & Goldblatt. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:47
DOI: 10.15468/dl.ffgdsg
title: Occurrence Download

description: A dataset containing 240311 species occurrences available in GBIF matching the query:
{
 "and" : [
 "ScientificName is Rosa rugosa Thunb.",
 "BasisOfRecord is Human Observation",
 "HasCoordinate is true"
 ]
}

 The dataset includes 240311 records from 346 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016096-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.t7gscy
title: Occurrence Download

description: A dataset containing 1337907 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Cirsium arvense"
 ]
}

 The dataset includes 1337907 records from 4005 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016071-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.