cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.18259547
title: SGUFT G-closure V5 (G1): GR-limit Recovery & FRW Toy Closure Demo (RUN_G_GRDEMO_0001)

description: This record provides a DOI-only evidence pack for SGUFT G-closure G1 layer.




Contents include:





GR-limit / Einstein-like residual definition (gr_limit_derivation.md)




FRW(k=0, dust+Λ) toy demo outputs: effective_einstein_residual.csv




Constraint/conservation check: constraint_residual.csv + report




Audit verdict (audit.json) and SHA256 manifest (manifest_sha256.json)






PASS/FAIL is determined solely by:





einstein_residual_max <= eps_E and constraint_residual_max <= eps_C, plus completeness audit.
DOI: 10.5281/zenodo.18259548
title: SGUFT G-closure V5 (G1): GR-limit Recovery & FRW Toy Closure Demo (RUN_G_GRDEMO_0001)

description: This record provides a DOI-only evidence pack for SGUFT G-closure G1 layer.




Contents include:





GR-limit / Einstein-like residual definition (gr_limit_derivation.md)




FRW(k=0, dust+Λ) toy demo outputs: effective_einstein_residual.csv




Constraint/conservation check: constraint_residual.csv + report




Audit verdict (audit.json) and SHA256 manifest (manifest_sha256.json)






PASS/FAIL is determined solely by:





einstein_residual_max <= eps_E and constraint_residual_max <= eps_C, plus completeness audit.
DOI: 10.15468/dl.ezhf8g
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Eurya taronensis"
 ]
}

 The dataset includes 2 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012241-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.acatkc
title: Occurrence Download

description: A dataset containing 754 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Allium bidentatum"
 ]
}

 The dataset includes 754 records from 37 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012242-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18259635
title: Submitted Galaxy Scores to the Gravitational Wave Treasure Map for event MS260115p Initial

description: Attached in a .json file is the ranked galaxy information within the contour region of the EM counterpart search associated with the gravitational wave event MS260115p Initial. A reference to these calculations can be found here: https://ui.adsabs.harvard.edu/abs/2017ApJ...848L..33A/abstract
DOI: 10.5281/zenodo.18259634
title: Submitted Galaxy Scores to the Gravitational Wave Treasure Map for event MS260115p Initial

description: Attached in a .json file is the ranked galaxy information within the contour region of the EM counterpart search associated with the gravitational wave event MS260115p Initial. A reference to these calculations can be found here: https://ui.adsabs.harvard.edu/abs/2017ApJ...848L..33A/abstract
DOI: 10.5281/zenodo.18257037
title: Zonal Statistics of Climate Indicators from ERA5-Land for Brazilian Municipalities, 2025

description: Climate indicators are used in several statistical models for many research areas and are especially important for modelling Climate Sensitive Diseases (CSD) incidence. Those models usually adopt a lattice structure, where their data is aggregated at administrative boundaries (e.g, disease incidence), but climate indicators are usually presented in a continuous, regular grid format.

To make climate indicators compatible with lattice structures, zonal statistics may be adopted. Zonal statistics are descriptive statistics calculated using a set of cells that spatially intersect a given spatial boundary. For each boundary in a map, statistics like average, maximum value, minimum value, standard deviation, and sum are obtained to represent the cell's values that intersect the boundary.

This dataset presents zonal statistics of climate indicators computed from Copernicus ERA5-Land daily aggregates for the Brazilian municipalities, for the year 2025.
DOI: 10.5281/zenodo.18257036
title: Zonal Statistics of Climate Indicators from ERA5-Land for Brazilian Municipalities, 2025

description: Climate indicators are used in several statistical models for many research areas and are especially important for modelling Climate Sensitive Diseases (CSD) incidence. Those models usually adopt a lattice structure, where their data is aggregated at administrative boundaries (e.g, disease incidence), but climate indicators are usually presented in a continuous, regular grid format.

To make climate indicators compatible with lattice structures, zonal statistics may be adopted. Zonal statistics are descriptive statistics calculated using a set of cells that spatially intersect a given spatial boundary. For each boundary in a map, statistics like average, maximum value, minimum value, standard deviation, and sum are obtained to represent the cell's values that intersect the boundary.

This dataset presents zonal statistics of climate indicators computed from Copernicus ERA5-Land daily aggregates for the Brazilian municipalities, for the year 2025.
DOI: 10.3929/ethz-b-000735457
title: Mammalian cells measure the extracellular matrix area and respond through switching the adhesion state
DOI: 10.3929/ethz-b-000735465
title: Compressed cells facilitate adhesion through glycocalyx
DOI: 10.15468/dl.vvwmah
title: Occurrence Download

description: A dataset containing 1440 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Calopteryx japonica",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "Year is greater than or equal to 1900",
 {
 "not" : {
 "BasisOfRecord" : [
 "is Fossil"
 ]
 }
 },
 {
 "or" : [
 {
 "not" : {
 "EstablishmentMeans" : [
 "is one of (MANAGED, INTRODUCED)"
 ]
 }
 },
 "EstablishmentMeans is null",
 "CoordinateUncertaintyInMeters is less than 10000",
 "CoordinateUncertaintyInMeters is null",
 "CatalogNumber ~PAPS5-560*"
 ]
 }
 ]
}

 The dataset includes 1440 records from 26 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012244-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.s4jc6j
title: Occurrence Download

description: A dataset containing 4624 species occurrences available in GBIF matching the query:
{
 "VerbatimScientificName" : [
 "is Calopteryx"
 ]
}

 The dataset includes 4624 records from 61 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012245-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5517/cc7bwv8
title: CCDC 219010: Experimental Crystal Structure Determination

description: Related Article: He Liu, Xiang-Yu Han, Chun-He Liu, Bo-Hua Zhong, Ke-Liang Liu|2004|Anal.Sci.:X-Ray Struct.Anal.Online|20|x121|doi:10.2116/analscix.20.x121
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2pyj5c
title: CCDC 2501023: Experimental Crystal Structure Determination

description: Related Article: Malkeet Singh, Saurabh Singh, Nimisha Gupta, Ashvani Singh, Maya S. Singh|2026|Org.Lett.|||doi:10.1021/acs.orglett.5c05163
description: Related Article: Malkeet Singh|2025|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.25505/fiz.icsd.cc2qbb4k
title: CSD 2512368: Experimental Crystal Structure Determination

description: Related Article: Qiangwen Fan, Lijian Guo, Guorong Wu, Dawei Liu, Zhaohong Liao, Haibo Zhu, Zongbo Xie, Zhanggao Le|2026|Inorg.Chem.|||doi:10.1021/acs.inorgchem.5c04499
description: Related Article: Qiangwen Fan|2025|ICSD Communication|||
description: An entry from the Inorganic Crystal Structure Database, the world’s repository for inorganic crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the joint CCDC and FIZ Karlsruhe Access Structures service and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5281/zenodo.18259276
title: Shawi-Amazon: A Parallel Dataset for Spanish-Shawi Low-Resource Machine Translation

description: Low-resource languages, particularly those from the Amazonian region, remain largely underrepresented in current Natural Language Processing (NLP) research. In this work, we introduce the Shawi-Amazon Corpus, the first standardized parallel dataset for the Shawi (Chayahuita) language paired with Spanish. The corpus comprises approximately 9,210 aligned sentence pairs derived from the New Testament and Genesis. We detail a robust data engineering pipeline designed to address complex alignment challenges, specifically "many-to-one" verse mappings and textual variants between the Textus Receptus and Critical Text traditions. To ensure rigorous benchmarking, we implement a document-level splitting strategy, preventing data leakage between training and evaluation sets. This resource is released in standardized formats to facilitate future research in Neural Machine Translation (NMT) for the Cahuapanan language family, contributing to the digital preservation of indigenous heritage.
DOI: 10.5281/zenodo.18259277
title: Shawi-Amazon: A Parallel Dataset for Spanish-Shawi Low-Resource Machine Translation

description: Low-resource languages, particularly those from the Amazonian region, remain largely underrepresented in current Natural Language Processing (NLP) research. In this work, we introduce the Shawi-Amazon Corpus, the first standardized parallel dataset for the Shawi (Chayahuita) language paired with Spanish. The corpus comprises approximately 9,210 aligned sentence pairs derived from the New Testament and Genesis. We detail a robust data engineering pipeline designed to address complex alignment challenges, specifically "many-to-one" verse mappings and textual variants between the Textus Receptus and Critical Text traditions. To ensure rigorous benchmarking, we implement a document-level splitting strategy, preventing data leakage between training and evaluation sets. This resource is released in standardized formats to facilitate future research in Neural Machine Translation (NMT) for the Cahuapanan language family, contributing to the digital preservation of indigenous heritage.
DOI: 10.15468/dl.x26e7b
title: Occurrence Download

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "NetworkKey is 99d66b6c-9087-452f-a9d4-f15f2c2d0e7e",
 "TaxonKey is Chordata"
 ]
 },
 "TaxonKey is one of (Micrurus spurrelli [GBIF Backbone Taxonomy])"
 ]
}

 The dataset includes 5 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012247-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18259234
title: Loneliness-Nurses
DOI: 10.15468/grhshy
title: Two new species of the genus Odites Walsingham, 1891 (Lepidoptera: Peleopodidae) from Japan with taxonomy and larval biology of Odites sungsookimi (Sohn & Wu, 2023) comb. nov.

description: This dataset contains the digitized treatments in Plazi based on the original journal article Arashima, Hazumu, Oku, Johei, Sohn, Jae-Cheon, Yagi, Sadahisa, Tomura, Shunsuke, Oka, Taiyo, Hirowatari, Toshiya (2025): Two new species of the genus Odites Walsingham, 1891 (Lepidoptera: Peleopodidae) from Japan with taxonomy and larval biology of Odites sungsookimi (Sohn & Wu, 2023) comb. nov. Zootaxa 5716 (3): 349-364, DOI: 10.11646/zootaxa.5716.3.3, URL: https://doi.org/10.11646/zootaxa.5716.3.3AbstractTwo new species of the genus Odites Walsingham, 1891, Odites saitoi Arashima, Oku & Yagi sp. nov. and O. kumatai Arashima, Oku & Yagi sp. nov. are described from Japan. Scythropiodes sungsookimi Sohn & Wu, 2023 is transferred to Odites and redescribed with larval biology. The imagos and genitalia of both sexes are illustrated for all three species of Odites. Twenty DNA barcode sequences were obtained for four species of Odites and three species of Scythropiodes.
DOI: 10.15468/dl.utpcwf
title: Occurrence Download

description: A dataset containing 205444 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Rutilus rutilus",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 2000",
 "Year is less than or equal to 2004"
 ]
}

 The dataset includes 205444 records from 144 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012227-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.q4uzw7
title: Occurrence Download

description: A dataset containing 6 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Eurya wenshanensis"
 ]
}

 The dataset includes 6 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012248-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18259444
title: SuperDARN data in netCDF format (1994-Apr)

description: 1994-Apr 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.6833197
title: SuperDARN data in netCDF format (1994-Apr)

description: 1994-Apr 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.18256720
title: SGUFT Appendix V4 Attachments: Kernel Scale-Points Continuity (ms32 KIP-1) Evidence Pack

description: 本记录包含 SGUFT 附录 V4 的仅 DOI 附件。




包括:(1)ms32 批处理 RUN-G gclosure 仅包,(2)包含每次运行根清单 + gclosure 清单的完整证据包,以及(3)批处理摘要表(CSV/JSON)和生成器脚本。




审计策略:如果 Zenodo 页面未显示 sha256,manifest_sha256.json则包内包含权威校验和来源。




范围:对 K(t)=exp⁡(−tDTD)K(t)=\exp(-t D^TD)K(t)=exp(−tDTD) 在固定处进行核尺度点连续性检查t_points,包括相邻相对 Frobenius 残差和迹单调性。
DOI: 10.5281/zenodo.18256721
title: SGUFT Appendix V4 Attachments: Kernel Scale-Points Continuity (ms32 KIP-1) Evidence Pack

description: 本记录包含 SGUFT 附录 V4 的仅 DOI 附件。




包括:(1)ms32 批处理 RUN-G gclosure 仅包,(2)包含每次运行根清单 + gclosure 清单的完整证据包,以及(3)批处理摘要表(CSV/JSON)和生成器脚本。




审计策略:如果 Zenodo 页面未显示 sha256,manifest_sha256.json则包内包含权威校验和来源。




范围:对 K(t)=exp⁡(−tDTD)K(t)=\exp(-t D^TD)K(t)=exp(−tDTD) 在固定处进行核尺度点连续性检查t_points,包括相邻相对 Frobenius 残差和迹单调性。
DOI: 10.15468/dl.bx8a7a
title: Occurrence Download

description: A dataset containing 5375 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Belgium",
 "OccurrenceStatus is Present",
 "TaxonKey is Salamandra salamandra"
 ]
}

 The dataset includes 5375 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012249-260108223611665/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.31073935
title: Literature Dataset for Cost Allocation of Mixed Pumped Storage (2008–2025)”

description: This dataset supports the literature visual analysis of cost allocation for mixed pumped storage in new power systems (consistent with the associated manuscript). It includes CiteSpace working files:The "input" folder contains raw literature data retrieved from the Web of Science Core Collection (2008–2025), which is the basis for CiteSpace analysis;The "output" folder consists of visualization results (e.g., network diagrams, cluster files) generated by CiteSpace, reflecting the research trends and knowledge framework of the field;Auxiliary folders (e.g., date, project) are used for CiteSpace parameter configuration and project management.This dataset is publicly available to facilitate the reproduction and further exploration of relevant research.
DOI: 10.6084/m9.figshare.31073935.v1
title: Literature Dataset for Cost Allocation of Mixed Pumped Storage (2008–2025)”

description: This dataset supports the literature visual analysis of cost allocation for mixed pumped storage in new power systems (consistent with the associated manuscript). It includes CiteSpace working files:The "input" folder contains raw literature data retrieved from the Web of Science Core Collection (2008–2025), which is the basis for CiteSpace analysis;The "output" folder consists of visualization results (e.g., network diagrams, cluster files) generated by CiteSpace, reflecting the research trends and knowledge framework of the field;Auxiliary folders (e.g., date, project) are used for CiteSpace parameter configuration and project management.This dataset is publicly available to facilitate the reproduction and further exploration of relevant research.
DOI: 10.15468/dl.gf97tj
title: Occurrence Download

description: A dataset containing 269948 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Limnephilus",
 "HasCoordinate is true",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
}

 The dataset includes 269948 records from 361 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012203-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18259709
title: 20-the-midnight-letter-arabic
DOI: 10.5281/zenodo.18259710
title: 20-the-midnight-letter-arabic
DOI: 10.34740/kaggle/dsv/14509411
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.15468/dl.287dq6
title: Occurrence Download

description: A dataset containing 1221 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Europe",
 "Country is United Kingdom of Great Britain and Northern Ireland",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Lycopodiella inundata",
 "Year 1930-2025"
 ]
}

 The dataset includes 1221 records from 29 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012251-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18255978
title: SGUFT Appendix V3 Evidence Pack — Windowing, Regularization & Truncation Error Budget (G-closure), v1.0

description: 概述

该记录是 SGUFT 附录 V3 的独立证据包,它冻结了 G 闭包核构造和审计的规范性“误差预算”:窗口函数/正则化/截断/退化处理必须明确记录为机器可读的工件,并且必须通过可审计的阈值策略。

这张唱片的意义何在?

不依赖叙述性解释,重现附录 V3 的 PASS/FAIL 检查。

确认每个 RUN-G 都包含明确的 error_budget.json 文件,并且审计员强制执行该文件。

从每个证据包中的 manifest_sha256.json 重新计算 SHA-256 完整性。

包含的文件

Gclosure_patchkit_v4.zip — V3 感知型发射器/审计器 + JSON 模式 + 默认阈值模板。

RUN_G_ms32_batch_kip1_v3_errorbudget_gclosure_only_pack_v1.zip — 批处理 RUN-G 证据(仅限 gclosure),包含 error_budget.json、audit.json 和清单。

(可选)RUN_G_ms32_batch_kip1_v3_errorbudget_gclosure_evidence_pack_v1.zip — 完整的批次证据,供深入审查。

校验和策略(仅限 DOI)如果 Zenodo UI 显示的校验和类型不是 SHA-256,则将每个包的内部 manifest_sha256.json 视为权威审计源。

版本控制策略:所有更新均以新的 Zenodo 版本发布;之前的版本将永久保留,可引用和可验证。不会静默替换文件。
DOI: 10.5281/zenodo.18255977
title: SGUFT Appendix V3 Evidence Pack — Windowing, Regularization & Truncation Error Budget (G-closure), v1.0

description: 概述

该记录是 SGUFT 附录 V3 的独立证据包,它冻结了 G 闭包核构造和审计的规范性“误差预算”:窗口函数/正则化/截断/退化处理必须明确记录为机器可读的工件,并且必须通过可审计的阈值策略。

这张唱片的意义何在?

不依赖叙述性解释,重现附录 V3 的 PASS/FAIL 检查。

确认每个 RUN-G 都包含明确的 error_budget.json 文件,并且审计员强制执行该文件。

从每个证据包中的 manifest_sha256.json 重新计算 SHA-256 完整性。

包含的文件

Gclosure_patchkit_v4.zip — V3 感知型发射器/审计器 + JSON 模式 + 默认阈值模板。

RUN_G_ms32_batch_kip1_v3_errorbudget_gclosure_only_pack_v1.zip — 批处理 RUN-G 证据(仅限 gclosure),包含 error_budget.json、audit.json 和清单。

(可选)RUN_G_ms32_batch_kip1_v3_errorbudget_gclosure_evidence_pack_v1.zip — 完整的批次证据,供深入审查。

校验和策略(仅限 DOI)如果 Zenodo UI 显示的校验和类型不是 SHA-256,则将每个包的内部 manifest_sha256.json 视为权威审计源。

版本控制策略:所有更新均以新的 Zenodo 版本发布;之前的版本将永久保留,可引用和可验证。不会静默替换文件。
DOI: 10.15468/dl.t28s65
title: Occurrence Download

description: A dataset containing 251784 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Hydropsyche",
 "HasCoordinate is true",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
}

 The dataset includes 251784 records from 376 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012202-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.