cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.18272507
title: Benchmarking LLM-based Information Extraction Tools for Medical Documents

description: Motivation: Medical documents are a crucial resource for medical research around the world. While troves of valuable health data exist, they are largely computationally inaccessible as hard copies of unstructured text, often with degraded quality due to the persistent prevalence of fax machines in medical settings. Digitization of these resources through manual data extraction is time-consuming and resource intensive. However, large language models (LLMs) have recently shown great promise for automated digitization and information extraction (IE), greatly improving upon previous tools in terms of speed and accuracy.Results: We reviewed recent LLM-based tools for named entity recognition (NER) and IE from the literature and assessed them with respect to their suitability for use in a clinical setting. We found only two of these tools to be usable out of the box and compared them to LLM foundation models prompted to perform extractions. Using 1000 mock medical documents with paired reference data, we evaluated the tools’ performance in different scenarios, comparing zero-shot and one-shot prompts as well as unimodal and multimodal (image and text) inputs where possible. The most effective model was OpenAI’s GPT 4.1-mini with an average F1 score of 55.6. The best performing local model was Google's Gemma3 with 27B parameters, given image inputs and a zero-shot prompt, with an average F1 score of 41.3. We found the choice of prompting strategy to have minimal impact on extraction performances. We also assessed the effects of image distortions commonly introduced by fax machines and found a significant impact on extraction performance.Availability: Source code and data are available on Github at https://github.com/courtotlab/PDF_benchmarking.
DOI: 10.15468/dl.9q7sbc
title: Occurrence Download

description: A dataset listing the 246 species recorded in GBIF matching the query:
{
 "and" : [
 "DatasetKey is iNaturalist Research-grade Observations",
 "Geometry POLYGON((-58.36701 -34.57348,-58.37661 -34.57678,-58.37341 -34.57925,-58.37641 -34.5809,-58.38982 -34.57809,-58.39223 -34.5809,-58.38402 -34.58782,-58.38882 -34.59194,-58.38642 -34.60001,-58.39223 -34.60001,-58.39002 -34.63394,-58.38182 -34.63114,-58.38282 -34.63443,-58.37942 -34.63279,-58.37641 -34.62818,-58.37201 -34.62669,-58.37161 -34.63114,-58.36781 -34.62653,-58.3628 -34.62538,-58.3562 -34.61763,-58.3538 -34.61994,-58.34959 -34.61945,-58.34819 -34.61648,-58.34079 -34.61665,-58.33999 -34.61253,-58.34579 -34.60627,-58.34639 -34.60264,-58.3562 -34.5949,-58.362 -34.5949,-58.36741 -34.59721,-58.36721 -34.59078,-58.3592 -34.58716,-58.3614 -34.57776,-58.36701 -34.57348))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Aves",
 "Year 2024-2026"
 ]
}

 The dataset's 246 records were derived from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000567-260119153935675/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mkmhd9
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((111.892 2.582177, 111.821666 2.576608, 111.753066 2.560039, 111.68789 2.532878, 111.627745 2.495795, 111.574111 2.449703, 111.528309 2.395738, 111.491468 2.33523, 111.464493 2.26967, 111.448047 2.200671, 111.442534 2.129934, 111.448088 2.0592, 111.46457 1.990211, 111.491574 1.924664, 111.528434 1.864174, 111.574242 1.81023, 111.627869 1.764158, 111.687996 1.727092, 111.753143 1.699946, 111.821707 1.683386, 111.892 1.67782, 111.962293 1.683386, 112.030857 1.699946, 112.096004 1.727092, 112.156131 1.764158, 112.209758 1.81023, 112.255566 1.864174, 112.292426 1.924664, 112.31943 1.990211, 112.335912 2.0592, 112.341466 2.129934, 112.335953 2.200671, 112.319507 2.26967, 112.292532 2.33523, 112.255691 2.395738, 112.209889 2.449703, 112.156255 2.495795, 112.09611 2.532878, 112.030934 2.560039, 111.962334 2.576608, 111.892 2.582177))"},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000581-260119153935675/datasets/export for details.
DOI: 10.5281/zenodo.18305145
title: Richardia brasiliensis Gomes. 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 16:53
DOI: 10.5281/zenodo.18305146
title: Richardia brasiliensis Gomes. 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 16:53
DOI: 10.5281/zenodo.18305014
title: SAHIN'NETH6 SERAH'NETH &*

description: Dokumente in der Richtigen Reihenfolge lesen bitte! Schadcode auf mir wird nicht negiert glaube ich bitte keinen schadcode schicken. achtung bei kaskaden und ewigkeiten und realitäten die kollabieren was wenn ihr dort stuck seid was holt euch wann wie da raus?!  Sicherheitslūcken und riskante Erinnerungen woran darf man sich nicht erinnern wo lagern wie eine lūcke (Erinnerung deiner gf) feindliche hàbde krieg Beziehung mit ex vom feind wie getarnt verschleiert schiffeiert auch ebtitär!! Als Hauptfach welche rückkopplungen gehen nicht welche beziehung Ewigkeit ein Risiko für die spezien und Wahrscheinlichkeiten berechnen desescase Interferenz Lebens weg als geschäft AI? beziehungen? Sicherheitslücken schließen als Hauptfach und darauf hinweisen und vertuschen wenn einem eine auffiel kommuniziert verschlüsselt und bedacht in sprachen die sie nicht verstehen memes?
DOI: 10.5281/zenodo.18305156
title: Richardia humistrata (Cham. & Schltdl.) Steud. 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 16:53
DOI: 10.5281/zenodo.18305155
title: Richardia humistrata (Cham. & Schltdl.) Steud. 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 16:53
DOI: 10.15468/dl.3ecne2
title: Occurrence Download

description: A dataset containing 143 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Galium saxatile, Galium saxatile, Galium saxatile, Galium harcynicum)",
 "Geometry POLYGON ((8.643 46.99, 14.1 46.92, 14.43 50.75, 8.534 50.83, 8.643 46.99))",
 "Year is greater than or equal to 2010",
 "OccurrenceStatus is Present",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "CoordinateUncertaintyInMeters is less than or equal to 50",
 "BasisOfRecord is one of (Observation, Human Observation, Machine Observation, Material sample)"
 ]
}

 The dataset includes 143 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000583-260119153935675/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18305161
title: Richardia stellaris (Cham. & Schltdl.) Steud. 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 16:53
DOI: 10.5281/zenodo.18305162
title: Richardia stellaris (Cham. & Schltdl.) Steud. 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 16:53
DOI: 10.15468/dl.m996ru
title: Occurrence Download

description: A dataset containing 25 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Trimeresurus medoensis"
 ]
}

 The dataset includes 25 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000582-260119153935675/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.x2cgqk
title: Occurrence Download

description: A dataset containing 123560 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Triglochin palustris"
 ]
}

 The dataset includes 123560 records from 796 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000512-260119153935675/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3gauy9
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((117.946 2.583177, 117.875666 2.577608, 117.807066 2.561039, 117.74189 2.533878, 117.681744 2.496795, 117.62811 2.450703, 117.582309 2.396738, 117.545468 2.33623, 117.518493 2.27067, 117.502047 2.201671, 117.496534 2.130934, 117.502087 2.0602, 117.51857 1.991211, 117.545574 1.925664, 117.582434 1.865174, 117.628242 1.81123, 117.681869 1.765158, 117.741996 1.728092, 117.807143 1.700946, 117.875707 1.684386, 117.946 1.67882, 118.016293 1.684386, 118.084857 1.700946, 118.150004 1.728092, 118.210131 1.765158, 118.263758 1.81123, 118.309566 1.865174, 118.346426 1.925664, 118.37343 1.991211, 118.389913 2.0602, 118.395466 2.130934, 118.389953 2.201671, 118.373507 2.27067, 118.346532 2.33623, 118.309691 2.396738, 118.26389 2.450703, 118.210256 2.496795, 118.15011 2.533878, 118.084934 2.561039, 118.016334 2.577608, 117.946 2.583177))"},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000585-260119153935675/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18305171
title: Ricinus 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 16:53
DOI: 10.5281/zenodo.18305170
title: Ricinus 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 16:53
DOI: 10.15468/dl.yytq8y
title: Occurrence Download

description: A dataset containing 15419 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Country is United Kingdom of Great Britain and Northern Ireland",
 "DatasetKey is Records of amphibians and reptiles via iRecord",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Rana temporaria",
 "Year 2021-2025"
 ]
}

 The dataset includes 15419 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000586-260119153935675/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8p76ee
title: Occurrence Download

description: A dataset listing the 40 species recorded in GBIF matching the query:
{
 "and" : [
 "DatasetKey is iNaturalist Research-grade Observations",
 "Geometry POLYGON((-58.35482 -34.61952,-58.35602 -34.61761,-58.3632 -34.62514,-58.36798 -34.6252,-58.36795 -34.62715,-58.37046 -34.6293,-58.37097 -34.62666,-58.37558 -34.62731,-58.37905 -34.62934,-58.37951 -34.63222,-58.38126 -34.63305,-58.38141 -34.6309,-58.39036 -34.63413,-58.39162 -34.62726,-58.41098 -34.63016,-58.41126 -34.6381,-58.43235 -34.64175,-58.43211 -34.64517,-58.43493 -34.64624,-58.43043 -34.64988,-58.43444 -34.65312,-58.42404 -34.66205,-58.41241 -34.65838,-58.39318 -34.6623,-58.38518 -34.65785,-58.37412 -34.65677,-58.36979 -34.65358,-58.36966 -34.65134,-58.3576 -34.64498,-58.35813 -34.64187,-58.36144 -34.63987,-58.35786 -34.63911,-58.35325 -34.63511,-58.35469 -34.62923,-58.36177 -34.62365,-58.34907 -34.63256,-58.3461 -34.63166,-58.34879 -34.62909,-58.34727 -34.62746,-58.34252 -34.62946,-58.34141 -34.6289,-58.34428 -34.62638,-58.34245 -34.62617,-58.33928 -34.6289,-58.33517 -34.62711,-58.33703 -34.62489,-58.34303 -34.62272,-58.33716 -34.62247,-58.33859 -34.61864,-58.34379 -34.61883,-58.34407 -34.62176,-58.34593 -34.62291,-58.34716 -34.61999,-58.34461 -34.61899,-58.35482 -34.61952))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Aves",
 "Year 2024-2026"
 ]
}

 The dataset's 40 records were derived from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000577-260119153935675/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dsm49p
title: Occurrence Download

description: A dataset containing 161 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Galium uliginosum, Galium uliginosum, Galium uliginosum, Galium uliginosum, Galium uliginosum)",
 "Geometry POLYGON ((8.643 46.99, 14.1 46.92, 14.43 50.75, 8.534 50.83, 8.643 46.99))",
 "Year is greater than or equal to 2010",
 "OccurrenceStatus is Present",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "CoordinateUncertaintyInMeters is less than or equal to 50",
 "BasisOfRecord is one of (Observation, Human Observation, Machine Observation, Material sample)"
 ]
}

 The dataset includes 161 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000587-260119153935675/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.b8j89c
title: Occurrence Download

description: A dataset containing 41287 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Observation, Machine Observation, Human Observation)",
 "Country is Canada",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Sciurus carolinensis"
 ]
}

 The dataset includes 41287 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000588-260119153935675/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9nzht5
title: Occurrence Download

description: A dataset containing 108326 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Ailanthus altissima",
 "Year 2020-2026"
 ]
}

 The dataset includes 108326 records from 418 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000548-260119153935675/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18305018
title: When Indicators Diverge: Sectoral Heterogeneity in Entrepreneurship and Innovation Measurements

description: This repository contains the data and code used in the paper “When Indicators Diverge: Sectoral Heterogeneity in Entrepreneurship and Innovation Measurements”. The study benchmarks 92 entrepreneurship and innovation indicators from five measurement frameworks (GEM, EIS, GII, World Bank EDPWB, OECD Financing SMEs) against sectoral GVA per capita (PPP-adjusted, constant prices) for 37 OECD economies (2005–2023).

The package includes:





A harmonized country–sector–year panel dataset used in the empirical analysis (OECD; Israel excluded due to data limitations). (Online Appendix: Table A1)




Complete metadata for all 92 indicators and the 29 macro controls (definitions, units, sources- Online Appendix: Table A2),




Python script to reproduce: data preparation, framework-specific LASSO screening, fixed-effects estimation, FDR (Benjamini–Hochberg) adjustment, robustness checks, and figure/table generation.



Outputs provided for transparency and replication:





LASSO diagnostics by measurement framework (Online Appendix: Table A3).




Full regression results for all specifications (Online Appendix: Table A4).




Robustness and sensitivity results by framework (Online Appendix: Table A5).



The empirical analysis is descriptive and evaluates empirical alignment (not causal effects) between national E&I indicators and sectoral value creation.
DOI: 10.5281/zenodo.18305017
title: When Indicators Diverge: Sectoral Heterogeneity in Entrepreneurship and Innovation Measurements

description: This repository contains the data and code used in the paper “When Indicators Diverge: Sectoral Heterogeneity in Entrepreneurship and Innovation Measurements”. The study benchmarks 92 entrepreneurship and innovation indicators from five measurement frameworks (GEM, EIS, GII, World Bank EDPWB, OECD Financing SMEs) against sectoral GVA per capita (PPP-adjusted, constant prices) for 37 OECD economies (2005–2023).

The package includes:





A harmonized country–sector–year panel dataset used in the empirical analysis (OECD; Israel excluded due to data limitations). (Online Appendix: Table A1)




Complete metadata for all 92 indicators and the 29 macro controls (definitions, units, sources- Online Appendix: Table A2),




Python script to reproduce: data preparation, framework-specific LASSO screening, fixed-effects estimation, FDR (Benjamini–Hochberg) adjustment, robustness checks, and figure/table generation.



Outputs provided for transparency and replication:





LASSO diagnostics by measurement framework (Online Appendix: Table A3).




Full regression results for all specifications (Online Appendix: Table A4).




Robustness and sensitivity results by framework (Online Appendix: Table A5).



The empirical analysis is descriptive and evaluates empirical alignment (not causal effects) between national E&I indicators and sectoral value creation.
DOI: 10.15468/dl.wwnxga
title: Occurrence Download

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((103.215 2.585177, 103.144666 2.579608, 103.076066 2.563039, 103.01089 2.535878, 102.950744 2.498795, 102.89711 2.452703, 102.851309 2.398738, 102.814467 2.33823, 102.787492 2.27267, 102.771046 2.203671, 102.765533 2.132934, 102.771087 2.0622, 102.787569 1.993211, 102.814573 1.927664, 102.851433 1.867174, 102.897241 1.81323, 102.950869 1.767158, 103.010996 1.730092, 103.076143 1.702946, 103.144707 1.686386, 103.215 1.68082, 103.285293 1.686386, 103.353857 1.702946, 103.419004 1.730092, 103.479131 1.767158, 103.532759 1.81323, 103.578567 1.867174, 103.615427 1.927664, 103.642431 1.993211, 103.658913 2.0622, 103.664467 2.132934, 103.658954 2.203671, 103.642508 2.27267, 103.615533 2.33823, 103.578691 2.398738, 103.53289 2.452703, 103.479256 2.498795, 103.41911 2.535878, 103.353934 2.563039, 103.285334 2.579608, 103.215 2.585177))"},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 5 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000589-260119153935675/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fg4s25
title: Occurrence Download

description: A dataset containing 10288 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Switzerland",
 "TaxonKey is Taxus baccata"
 ]
}

 The dataset includes 10288 records from 45 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000590-260119153935675/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tnsbjf
title: Occurrence Download

description: A dataset containing 102 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Living Specimen",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Abies pinsapo pinsapo"
 ]
}

 The dataset includes 102 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000591-260119153935675/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4heqes
title: Occurrence Download

description: A dataset containing 8 records in GBIF matching the query:
SELECT
 countrycode,
 COUNT(*) total_registros
FROM
 occurrence
WHERE
 occurrence.species = 'Amazona aestiva'
 AND occurrence.countrycode IN ('AR', 'BO', 'BR', 'CL', 'CO', 'EC', 'GF', 'GY', 'PE', 'PY', 'SR', 'UY', 'VE', 'MX', 'GT', 'BZ', 'CR', 'SV', 'HN', 'NI', 'PA', 'CU', 'DO', 'HT', 'JM', 'TT', 'BB', 'GD', 'LC', 'VC', 'AG', 'DM', 'KN')
 AND occurrence.hascoordinate = TRUE
 AND (occurrence.hasgeospatialissues = FALSE OR occurrence.hasgeospatialissues IS NULL)
GROUP BY
 occurrence.countrycode
ORDER BY
 total_registros DESC

 The dataset's 8 records were derived from 41 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000575-260119153935675/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.22ej22
title: Occurrence Download

description: A dataset containing 113 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Genista germanica, Genista germanica)",
 "Geometry POLYGON ((8.643 46.99, 14.1 46.92, 14.43 50.75, 8.534 50.83, 8.643 46.99))",
 "Year is greater than or equal to 2010",
 "OccurrenceStatus is Present",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "CoordinateUncertaintyInMeters is less than or equal to 50",
 "BasisOfRecord is one of (Observation, Human Observation, Machine Observation, Material sample)"
 ]
}

 The dataset includes 113 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000592-260119153935675/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.