cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.wmzm28
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-69.82967 6.407,-72.09853 2.83506,-70.81103 2.84159,-70.4106 3.38067,-69.92157 3.46131,-69.17836 4.09522,-68.86418 3.68657,-67.76879 4.11693,-67.89824 4.60868,-67.80317 5.26379,-67.78052 5.41975,-67.47643 6.22118,-67.8064 6.22122,-68.54821 6.1877,-69.08771 6.15417,-69.42225 6.13672,-69.82967 6.407))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Vanellus chilensis",
 "Year 1980-2000"
 ]
}

 The dataset includes 4 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032479-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17075124
title: Chiral Ligand Benchmark Dataset for Protein-Ligand Cofolding Evaluation

description: PLINDER-derived Chiral Ligand Benchmark Dataset for Protein-Ligand Cofolding Evaluation

Overview

This benchmark dataset enables systematic evaluation of stereochemical accuracy in AI-based protein-ligand complex structure prediction models. The dataset focuses on chiral small molecule ligands and their stereochemical reproduction challenges.

Associated Publication

"Improving Stereochemical Limitations in Protein-Ligand Complex Structure Prediction"Authors: R. Ishitani, Y. MoriwakiPublication: https://pubs.acs.org/doi/10.1021/acsomega.5c07675Preprint: https://www.biorxiv.org/content/10.1101/2025.03.25.645362v2

Dataset Files

📊 Dataset Metadata (CSV Files)




File
Description
Size




plinder_l95.csv
Plinder-L95 dataset (~6,600 entries, Tanimoto similarity ≥0.95)
 


plinder_l70.csv
Plinder-L70 dataset (~4,700 entries, Tanimoto similarity ≥0.7)
 




CSV Columns:



sys_id: PLINDER system identifier

pdb_id: Protein Data Bank ID

ccd_id: Chemical Component Dictionary code

smiles: Ligand SMILES representation

release_date: PDB entry release date

split: AlphaFold3 training split (before/after 2021-09-30)

afterP95L70: Boolean flag for After-P95L70 subset (excludes proteins >95% similar to training)

afterP70L70: Boolean flag for After-P70L70 subset (excludes proteins >70% similar to training)


🧬 Multiple Sequence Alignments (MSA Files)




File
Description




plinder_l70_msa.tar.gz
Pre-computed MSAs for Plinder-L70 dataset


plinder_l95_msa.tar.gz
Pre-computed MSAs for Plinder-L95 dataset






Format: A3M files named {sys_id}.a3m

Generated with: MMSeqs2 via LocalColabFold

Purpose: Ensures consistent MSA inputs across different prediction methods


Key Features

✅ Chiral-focused: All ligands contain at least one chiral center✅ Temporal splits: Before/After training cutoffs for fair evaluation✅ Similarity filtering: Multiple stringency levels to assess generalization✅ Ready-to-use MSAs: Pre-computed for consistent benchmarking

Reference

For detailed methodology and selection criteria, see the Methods section of the associated publication.

Citation: Ishitani, R. & Moriwaki, Y. Improving Stereochemical Limitations in Protein-Ligand Complex Structure Prediction. ACS Omega (2025). https://doi.org/10.1021/acsomega.5c07675
DOI: 10.5281/zenodo.17075123
title: Chiral Ligand Benchmark Dataset for Protein-Ligand Cofolding Evaluation

description: PLINDER-derived Chiral Ligand Benchmark Dataset for Protein-Ligand Cofolding Evaluation

Overview

This benchmark dataset enables systematic evaluation of stereochemical accuracy in AI-based protein-ligand complex structure prediction models. The dataset focuses on chiral small molecule ligands and their stereochemical reproduction challenges.

Associated Publication

"Improving Stereochemical Limitations in Protein-Ligand Complex Structure Prediction"Authors: R. Ishitani, Y. MoriwakiPublication: https://pubs.acs.org/doi/10.1021/acsomega.5c07675Preprint: https://www.biorxiv.org/content/10.1101/2025.03.25.645362v2

Dataset Files

📊 Dataset Metadata (CSV Files)




File
Description
Size




plinder_l95.csv
Plinder-L95 dataset (~6,600 entries, Tanimoto similarity ≥0.95)
 


plinder_l70.csv
Plinder-L70 dataset (~4,700 entries, Tanimoto similarity ≥0.7)
 




CSV Columns:



sys_id: PLINDER system identifier

pdb_id: Protein Data Bank ID

ccd_id: Chemical Component Dictionary code

smiles: Ligand SMILES representation

release_date: PDB entry release date

split: AlphaFold3 training split (before/after 2021-09-30)

afterP95L70: Boolean flag for After-P95L70 subset (excludes proteins >95% similar to training)

afterP70L70: Boolean flag for After-P70L70 subset (excludes proteins >70% similar to training)


🧬 Multiple Sequence Alignments (MSA Files)




File
Description




plinder_l70_msa.tar.gz
Pre-computed MSAs for Plinder-L70 dataset


plinder_l95_msa.tar.gz
Pre-computed MSAs for Plinder-L95 dataset






Format: A3M files named {sys_id}.a3m

Generated with: MMSeqs2 via LocalColabFold

Purpose: Ensures consistent MSA inputs across different prediction methods


Key Features

✅ Chiral-focused: All ligands contain at least one chiral center✅ Temporal splits: Before/After training cutoffs for fair evaluation✅ Similarity filtering: Multiple stringency levels to assess generalization✅ Ready-to-use MSAs: Pre-computed for consistent benchmarking

Reference

For detailed methodology and selection criteria, see the Methods section of the associated publication.

Citation: Ishitani, R. & Moriwaki, Y. Improving Stereochemical Limitations in Protein-Ligand Complex Structure Prediction. ACS Omega (2025). https://doi.org/10.1021/acsomega.5c07675
DOI: 10.15468/dl.shwgry
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((-108.2688 21.89913, -108.1188 21.89913, -108.1188 22.04913, -108.2688 22.04913, -108.2688 21.89913))"
 ]
}

 The dataset includes 4 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032480-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17605603
title: emburden: Processed Energy Burden Datasets (US Nationwide)

description: PROCESSED, analysis-ready household energy burden datasets from the DOE Low-Income Energy Affordability Data (LEAD) Tool, formatted for the emburden R package.

Scope: All 51 US states and territories (50 states + DC)

IMPORTANT: These are PRE-PROCESSED datasets, not raw OpenEI data. They have been:



Aggregated by census tract + income bracket

Enriched with computed energy burden metrics (EROI, NER, DEAR)

Standardized for immediate analysis

Quality-checked and validated


This repository provides census tract-level data on household energy burden for the entire United States, covering ~73,000 census tracts. Data includes both Area Median Income (AMI) and Federal Poverty Line (FPL) cohort analyses for 2018 and 2022 vintages.


Files Included:



lead_ami_cohorts_2022_us.csv.gz: 2022 AMI cohort data (701,490 records, 148 MB)

lead_fpl_cohorts_2022_us.csv.gz: 2022 FPL cohort data (588,163 records, 52 MB)

lead_ami_cohorts_2018_us.csv.gz: 2018 AMI cohort data (530,500 records, 54 MB)

lead_fpl_cohorts_2018_us.csv.gz: 2018 FPL cohort data (514,893 records, 53 MB)

checksums.txt: MD5 checksums for verification


Total size: 307 MB compressed


Data Processing



Source: Raw LEAD Tool data from OpenEI

Processing: emburden R package v0.4.8 data pipeline

Format: CSV (aggregated tract-level cohorts with computed metrics)

Ready for: Immediate analysis, no additional processing required



Coverage



States: All 51 (50 states + DC, excludes PR)

Census Tracts: ~73,000 nationwide

Total Records: 2.3+ million cohort observations

Income Brackets: 4-6 per dataset/vintage



Data Sources
Original raw data from:



DOE LEAD Tool 2022: https://data.openei.org/submissions/6219

DOE LEAD Tool 2018: https://data.openei.org/submissions/573


Processed using: emburden R package v0.4.8 (https://github.com/ScheierVentures/emburden)


Citation
When using this data, please cite:



This Zenodo repository (DOI provided)

The emburden R package v0.4.8

The original DOE LEAD Tool publications



License
CC-BY-4.0 (same as source data)
DOI: 10.5281/zenodo.17605602
title: emburden: Processed Energy Burden Datasets (US Nationwide)

description: PROCESSED, analysis-ready household energy burden datasets from the DOE Low-Income Energy Affordability Data (LEAD) Tool, formatted for the emburden R package.

Scope: All 51 US states and territories (50 states + DC)

IMPORTANT: These are PRE-PROCESSED datasets, not raw OpenEI data. They have been:



Aggregated by census tract + income bracket

Enriched with computed energy burden metrics (EROI, NER, DEAR)

Standardized for immediate analysis

Quality-checked and validated


This repository provides census tract-level data on household energy burden for the entire United States, covering ~73,000 census tracts. Data includes both Area Median Income (AMI) and Federal Poverty Line (FPL) cohort analyses for 2018 and 2022 vintages.


Files Included:



lead_ami_cohorts_2022_us.csv.gz: 2022 AMI cohort data (701,490 records, 148 MB)

lead_fpl_cohorts_2022_us.csv.gz: 2022 FPL cohort data (588,163 records, 52 MB)

lead_ami_cohorts_2018_us.csv.gz: 2018 AMI cohort data (530,500 records, 54 MB)

lead_fpl_cohorts_2018_us.csv.gz: 2018 FPL cohort data (514,893 records, 53 MB)

checksums.txt: MD5 checksums for verification


Total size: 307 MB compressed


Data Processing



Source: Raw LEAD Tool data from OpenEI

Processing: emburden R package v0.4.8 data pipeline

Format: CSV (aggregated tract-level cohorts with computed metrics)

Ready for: Immediate analysis, no additional processing required



Coverage



States: All 51 (50 states + DC, excludes PR)

Census Tracts: ~73,000 nationwide

Total Records: 2.3+ million cohort observations

Income Brackets: 4-6 per dataset/vintage



Data Sources
Original raw data from:



DOE LEAD Tool 2022: https://data.openei.org/submissions/6219

DOE LEAD Tool 2018: https://data.openei.org/submissions/573


Processed using: emburden R package v0.4.8 (https://github.com/ScheierVentures/emburden)


Citation
When using this data, please cite:



This Zenodo repository (DOI provided)

The emburden R package v0.4.8

The original DOE LEAD Tool publications



License
CC-BY-4.0 (same as source data)
DOI: 10.15468/dl.qkfdz4
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Botia almorhae",
 "HasCoordinate is true",
 "Geometry POLYGON((-78 12, -73 12, -73 0, -78 0, -78 12))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032481-251025141854904/datasets/export for details.
DOI: 10.34740/kaggle/dsv/13726883
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.15468/dl.3vpzuv
title: Occurrence Download

description: A dataset containing 41 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((-108.1188 21.89913, -107.9688 21.89913, -107.9688 22.04913, -108.1188 22.04913, -108.1188 21.89913))"
 ]
}

 The dataset includes 41 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032482-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ywv4xu
title: Occurrence Download

description: A dataset containing 22 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-69.82967 6.407,-72.09853 2.83506,-70.81103 2.84159,-70.4106 3.38067,-69.92157 3.46131,-69.17836 4.09522,-68.86418 3.68657,-67.76879 4.11693,-67.89824 4.60868,-67.80317 5.26379,-67.78052 5.41975,-67.47643 6.22118,-67.8064 6.22122,-68.54821 6.1877,-69.08771 6.15417,-69.42225 6.13672,-69.82967 6.407))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Vanellus chilensis",
 "Year 2001-2010"
 ]
}

 The dataset includes 22 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032483-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xaffch
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Botia lohachata",
 "HasCoordinate is true",
 "Geometry POLYGON((-78 12, -73 12, -73 0, -78 0, -78 12))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032484-251025141854904/datasets/export for details.
DOI: 10.15468/dl.tbx6ep
title: Occurrence Download

description: A dataset containing 285770 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is iNaturalist Research-grade Observations",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Country is one of (Canada, Mexico, United States of America)",
 "EventDate is greater than or equal to 2025-10-19",
 "EventDate is less than or equal to 2025-11-18",
 {
 "not" : {
 "Issue" : [
 "is one of (Basis of record invalid, Coordinate reprojection failed, Coordinate reprojection suspicious, Coordinate precision invalid, Coordinate uncertainty meters invalid, Country mismatch, Country invalid, Geodetic datum invalid, Presumed swapped coordinate, Presumed negated longitude, Presumed negated latitude, Country coordinate mismatch)"
 ]
 }
 },
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 285770 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032472-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.a6qphb
title: Occurrence Download

description: A dataset containing 661 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Quercus oblongifolia",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Country is United States of America"
 ]
}

 The dataset includes 661 records from 40 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032486-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8ypxc3
title: Occurrence Download

description: A dataset containing 44 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((-107.9688 21.89913, -107.8188 21.89913, -107.8188 22.04913, -107.9688 22.04913, -107.9688 21.89913))"
 ]
}

 The dataset includes 44 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032487-251025141854904/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.29026406
title: Data for manuscript "The convergent genomic dynamism for aquatic adaptation in vascular plants", published in Current Biology

description: In this study, we conducted whole-genome sequencing of eight aquatic plants and investigated the genomic basis of their adaptation to aquatic environments. Here are some datasets used in this study."Taxon_file.xlsx", the species’ full names and abbreviations used in analyses."Supplementary Data.xlsx", the Supplementary Data (Tables) generated in this study. You can see the detailed information about each Supplementary Data."Supplementary_Data_3_Genome_Assembly.zip", the CDSs and PEPs of the eight species we have conducted whole genome sequencing. The assembled genomes and their annotations have been deposited at CNGBdb (https://db.cngb.org/) under BioProject No. CNP0007358."Supplementary_Data_4_122species_peps.7z", the sequences of homologs in the 122 species obtained from the SWIPE search."Supplementary_Data_15_CAFE_lycop_ferns.zip", the CDSs and PEPs of the species used for CAFE analyses in the group "lycophytes and ferns"."Supplementary_Data_16_CAFE_ang_sub.zip", the CDSs and PEPs of the species used for CAFE analyses in the group "angiosperms"."Supplementary_Data_17_CAFE_Seagrasses.zip", the CDSs and PEPs of the species used for CAFE analyses in the group "Alismatales-focused"." Supplementary_Data_24_bait_peps.zip", the PEPs used as "baits" to search for homologs in 122 species with SWIPE."Supplementary_Figs.7-18_swipe_aln_cln_aligned_peps.zip", the aligned sequences of homologs. These files were used to construct maximum likelihood trees (Supplementary Figs. 6–19) and count gene copy numbers (Supplementary Data 15)."Mitochondrial genome assembly and annotation", mitochondrial genome assembly and annotation of the five species generated in this study (Include <i>Zostera japonica</i>, <i>Thalassia hemprichii</i>, <i>Potamogeton crispus</i>, <i>Ottelia alismoides</i> and <i>Tofieldia</i><i> </i><i>thibetica</i>).We will make every effort to upload our raw data to public databases, allowing other researchers to benefit from it.If you have any questions, please contact Ling-Yun Chen: lychen@cpu.edu.cn
DOI: 10.6084/m9.figshare.29026406.v7
title: Data for manuscript "The convergent genomic dynamism for aquatic adaptation in vascular plants", published in Current Biology

description: In this study, we conducted whole-genome sequencing of eight aquatic plants and investigated the genomic basis of their adaptation to aquatic environments. Here are some datasets used in this study."Taxon_file.xlsx", the species’ full names and abbreviations used in analyses."Supplementary Data.xlsx", the Supplementary Data (Tables) generated in this study. You can see the detailed information about each Supplementary Data."Supplementary_Data_3_Genome_Assembly.zip", the CDSs and PEPs of the eight species we have conducted whole genome sequencing. The assembled genomes and their annotations have been deposited at CNGBdb (https://db.cngb.org/) under BioProject No. CNP0007358."Supplementary_Data_4_122species_peps.7z", the sequences of homologs in the 122 species obtained from the SWIPE search."Supplementary_Data_15_CAFE_lycop_ferns.zip", the CDSs and PEPs of the species used for CAFE analyses in the group "lycophytes and ferns"."Supplementary_Data_16_CAFE_ang_sub.zip", the CDSs and PEPs of the species used for CAFE analyses in the group "angiosperms"."Supplementary_Data_17_CAFE_Seagrasses.zip", the CDSs and PEPs of the species used for CAFE analyses in the group "Alismatales-focused"." Supplementary_Data_24_bait_peps.zip", the PEPs used as "baits" to search for homologs in 122 species with SWIPE."Supplementary_Figs.7-18_swipe_aln_cln_aligned_peps.zip", the aligned sequences of homologs. These files were used to construct maximum likelihood trees (Supplementary Figs. 6–19) and count gene copy numbers (Supplementary Data 15)."Mitochondrial genome assembly and annotation", mitochondrial genome assembly and annotation of the five species generated in this study (Include <i>Zostera japonica</i>, <i>Thalassia hemprichii</i>, <i>Potamogeton crispus</i>, <i>Ottelia alismoides</i> and <i>Tofieldia</i><i> </i><i>thibetica</i>).We will make every effort to upload our raw data to public databases, allowing other researchers to benefit from it.If you have any questions, please contact Ling-Yun Chen: lychen@cpu.edu.cn
DOI: 10.6084/m9.figshare.29026406.v6
title: Data for manuscript "The convergent genomic dynamism for aquatic adaptation in vascular plants"

description: In this study, we conducted whole-genome sequencing of eight aquatic plants and investigated the genomic basis of their adaptation to aquatic environments. Here are some datasets used in this study."Taxon_file.xlsx", the species’ full names and abbreviations used in analyses."Supplementary Data.xlsx", the Supplementary Data (Tables) generated in this study. You can see the detailed information about each Supplementary Data."Supplementary_Data_3_Genome_Assembly.zip", the CDSs and PEPs of the eight species we have conducted whole genome sequencing. The assembled genomes and their annotations have been deposited at CNGBdb (https://db.cngb.org/) under BioProject No. CNP0007358."Supplementary_Data_4_122species_peps.7z", the sequences of homologs in the 122 species obtained from the SWIPE search."Supplementary_Data_15_CAFE_lycop_ferns.zip", the CDSs and PEPs of the species used for CAFE analyses in the group "lycophytes and ferns"."Supplementary_Data_16_CAFE_ang_sub.zip", the CDSs and PEPs of the species used for CAFE analyses in the group "angiosperms"."Supplementary_Data_17_CAFE_Seagrasses.zip", the CDSs and PEPs of the species used for CAFE analyses in the group "Alismatales-focused"." Supplementary_Data_24_bait_peps.zip", the PEPs used as "baits" to search for homologs in 122 species with SWIPE."Supplementary_Figs.7-18_swipe_aln_cln_aligned_peps.zip", the aligned sequences of homologs. These files were used to construct maximum likelihood trees (Supplementary Figs. 6–19) and count gene copy numbers (Supplementary Data 15)."Mitochondrial genome assembly and annotation", mitochondrial genome assembly and annotation of the five species generated in this study (Include <i>Zostera japonica</i>, <i>Thalassia hemprichii</i>, <i>Potamogeton crispus</i>, <i>Ottelia alismoides</i> and <i>Tofieldia</i><i> </i><i>thibetica</i>).We will make every effort to upload our raw data to public databases, allowing other researchers to benefit from it.If you have any questions, please contact Ling-Yun Chen: lychen@cpu.edu.cn
DOI: 10.15468/dl.xtj4dw
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Botia striata",
 "HasCoordinate is true",
 "Geometry POLYGON((-78 12, -73 12, -73 0, -78 0, -78 12))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032488-251025141854904/datasets/export for details.
DOI: 10.15468/dl.xvvybh
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((-107.8188 21.89913, -107.6688 21.89913, -107.6688 22.04913, -107.8188 22.04913, -107.8188 21.89913))"
 ]
}

 The dataset includes 8 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032489-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.etj7dv
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Brachygobius xanthozonus",
 "HasCoordinate is true",
 "Geometry POLYGON((-78 12, -73 12, -73 0, -78 0, -78 12))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032491-251025141854904/datasets/export for details.
DOI: 10.6073/pasta/164271e0bafb813bb1a68b021cf098b9
title: Stream specific conductance and temperature from small watersheds in the Andrews Forest

description: Stream specific conductance and water temperature are measured instantaneously every 5 minutes at most of the gauged watersheds within the H.J. Andrews Experimental Forest (Watersheds 1, 2, 3, 6, 7, 8, 10 and Mack Creek). Data is complementary to stream chemistry measurements from a proportional sampler (CF002) and long-term streamflow measurements (HF004) made at each of these watersheds.
DOI: 10.15468/dl.thxewr
title: Occurrence Download

description: A dataset containing 86 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Nymphaea oxypetala"
 ]
}

 The dataset includes 86 records from 28 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032492-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.