cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.7cq6bk
title: Occurrence Download

description: A dataset containing 143 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Dodecastigma uleanum",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 143 records from 25 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003206-260129131611470/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.24745293
title: Data for: Placing anurans in water can improve photo-based individual identification

description: Zip files named "TrueMatches" contain screenshots of matching image pairs found by HotSpotter.HotSpotter_analysis_in_R: R codes used for the analyses of HotSpotter results.HS_results_Table: contains data of images with a true matching pair present in the HotSpotter databases, details of their respective HotSpotter databases, as well as query success by each threshold.Tables_from_HotSpotter_outputs: Cutom R code for creating easy-to-interpret result tables from the output files saved by HotSpotter.
DOI: 10.6084/m9.figshare.24745293.v1
title: Data for: Placing anurans in water can improve photo-based individual identification

description: Zip files named "TrueMatches" contain screenshots of matching image pairs found by HotSpotter.HotSpotter_analysis_in_R: R codes used for the analyses of HotSpotter results.HS_results_Table: contains data of images with a true matching pair present in the HotSpotter databases, details of their respective HotSpotter databases, as well as query success by each threshold.Tables_from_HotSpotter_outputs: Cutom R code for creating easy-to-interpret result tables from the output files saved by HotSpotter.
DOI: 10.15468/dl.bvb9f6
title: Occurrence Download

description: A dataset containing 7888 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Reynoutria japonica"
 ]
}

 The dataset includes 7888 records from 329 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003208-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vdubz9
title: Occurrence Download

description: A dataset containing 152 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Droceloncia rigidifolia",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 152 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003209-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.x433hn
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (, , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Acipenseriformes, , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , )",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Living Specimen, Machine Observation, Literature Occurrence)",
 "Geometry POLYGON((109.630957 19.966667,110.78571 19.966667,110.78571 21.783333,109.630957 21.783333,109.630957 19.966667))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003210-260129131611470/datasets/export for details.
DOI: 10.15468/dl.3bf6ju
title: Occurrence Download

description: A dataset containing 4632 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Ferns and Lycophytes Specimens of Kawasaki Municipal Science Museum"
 ]
}

 The dataset includes 4632 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003211-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8craqy
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (, , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Acipenseriformes, , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , )",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Living Specimen, Machine Observation, Literature Occurrence)",
 "Geometry POLYGON((109.630957 19.966667,110.78571 19.966667,110.78571 21.783333,109.630957 21.783333,109.630957 19.966667))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003213-260129131611470/datasets/export for details.
DOI: 10.15468/dl.eud57j
title: Occurrence Download

description: A dataset containing 101 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Dysopsis glechomoides",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 101 records from 29 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003212-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.shen4c
title: Occurrence Download

description: A dataset containing 11 records in GBIF matching the query:
SELECT
 "year",
 COUNT(*) occurrences
FROM
 occurrence
WHERE
 occurrence.basisofrecord = 'HUMAN_OBSERVATION'
 AND occurrence.countrycode = 'JP'
 AND occurrence.occurrencestatus = 'PRESENT'
 AND GBIF_STRINGARRAYCONTAINS(occurrence.classifications['d7dddbf4-2cf0-4f39-9b2a-bb099caae36c'], '6', TRUE)
 AND (occurrence."year" &gt;= 1990 AND occurrence."year" &lt;= 2000)
 AND occurrence.hasgeospatialissues = FALSE
 AND NOT GBIF_STRINGARRAYCONTAINS(occurrence.issue, 'TAXON_MATCH_FUZZY', TRUE)
 AND (occurrence.distancefromcentroidinmeters &gt;= 2000.0 OR occurrence.distancefromcentroidinmeters IS NULL)
 AND (occurrence.classificationdetails['d7dddbf4-2cf0-4f39-9b2a-bb099caae36c']['specieskey'] &lt;&gt; '' AND occurrence."year" IS NOT NULL)
GROUP BY
 occurrence."year"
ORDER BY
 occurrence."year"

 The dataset's 11 records were derived from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003195-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3t56nm
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (, , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Acipenseriformes, , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , )",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Living Specimen, Machine Observation, Literature Occurrence)",
 "Geometry POLYGON((109.630957 19.966667,110.78571 19.966667,110.78571 21.783333,109.630957 21.783333,109.630957 19.966667))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003214-260129131611470/datasets/export for details.
DOI: 10.15468/dl.uex9wf
title: Occurrence Download

description: A dataset containing 257 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Panthera uncia"
 ]
}

 The dataset includes 257 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003215-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.b8hupd
title: Occurrence Download

description: A dataset containing 303 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Elateriospermum tapos",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 303 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003216-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18108764
title: Source Data - From smartphones to satellites: Crowdsourced vegetation monitoring fills gaps in global plant trait mapping

description: This dataset contains the source data, model outputs, and supplementary materials for the study on integrating citizen science (GBIF) and professional survey (sPlot) data for global plant trait mapping.

NOTE: All trait values are represented as power-transformed (Yeo-Johnson) community-weighted means.

 

Primary manuscript:



Lusk, D., Wolf, S., Svidzinska, D. et al. Crowdsourced biodiversity monitoring fills gaps in global plant trait mapping. Nat Commun 17, 1203 (2026). https://doi.org/10.1038/s41467-026-68996-y


 

Dataset Contents

SourceData.zip (692 MB)

A compressed archive containing the main source data files:

SourceData.xlsx

An Excel workbook with 5 sheets:

1. all_results (1,110 rows): Model performance metrics across all traits, resolutions, and data sources   - Resolutions: 1km, 22km, 55km, 111km, 222km   - Trait sets: SCI (sPlot), CIT (GBIF), COMB (combined)   - Metrics: Pearson's r, R², RMSE, nRMSE, MAE, MedAE

2. all_biome_results (777 rows): Per-biome model performance and uncertainty metrics   - 7 biomes (Boreal, Desert, Mediterranean, Temperate, Tropical, Tundra, Montane)   - Includes mean coefficient of variation (COV) and area of applicability (AOA) fraction

3. feature_importance (137,678 rows): Permutation-based feature importance scores   - 150 environmental predictor variables from 5 datasets   - Importance scores with standard deviations and p-values

4. splot_gbif_correlation (185 rows): Correlation between sPlot and GBIF sparse trait grids   - Pearson correlation coefficients at each resolution

5. trait_id_mapping (37 rows): Mapping from trait IDs to human-readable names

spatial_folds.parquet (180 MB)

Spatial cross-validation fold assignments for all 37 traits (~95.6 million location-trait combinations).- Columns: x, y, fold, trait_id- Coordinates in EPSG:6933 (World Equidistant Cylindrical)

cv_obs_vs_pred.parquet (566 MB)

Cross-validation observed vs. predicted values (~35.6 million observations).- Columns: x, y, obs, pred, trait_id, trait_set_abbr- Used for generating observed vs. predicted scatter plots

SCI_CIT_sparse_maps_1km.zip (7.2 GB)

1-km resolution sparse community-weighted mean (CWM) trait maps derived from:- gbif/: 37 GeoTIFF files from GBIF citizen science observations (CIT)- splot/: 37 GeoTIFF files from sPlot vegetation survey data (SCI)

Each GeoTIFF contains 6 bands:1. Mean trait value2. Standard deviation3. Median4. 5th percentile5. 95th percentile6. Observation count

Coordinate reference system: EPSG:6933 (World Equidistant Cylindrical)

Data Sources

- sPlot: Global vegetation plot database (Bruelheide et al., 2019)- GBIF: Global Biodiversity Information Facility occurrence records- TRY: Plant trait database (Kattge et al., 2020)

File Formats

- .xlsx: Microsoft Excel Open XML Format (readable with Excel, LibreOffice, pandas)- .parquet: Apache Parquet columnar format (readable with pandas, R arrow, etc.)- .tif: Cloud Optimized GeoTIFF (readable with GDAL, rasterio, QGIS, etc.)

Contact

Daniel Lusk
DOI: 10.5281/zenodo.18108765
title: Source Data - From smartphones to satellites: Crowdsourced vegetation monitoring fills gaps in global plant trait mapping

description: This dataset contains the source data, model outputs, and supplementary materials for the study on integrating citizen science (GBIF) and professional survey (sPlot) data for global plant trait mapping.

NOTE: All trait values are represented as power-transformed (Yeo-Johnson) community-weighted means.

 

Primary manuscript:



Lusk, D., Wolf, S., Svidzinska, D. et al. Crowdsourced biodiversity monitoring fills gaps in global plant trait mapping. Nat Commun 17, 1203 (2026). https://doi.org/10.1038/s41467-026-68996-y


 

Dataset Contents

SourceData.zip (692 MB)

A compressed archive containing the main source data files:

SourceData.xlsx

An Excel workbook with 5 sheets:

1. all_results (1,110 rows): Model performance metrics across all traits, resolutions, and data sources   - Resolutions: 1km, 22km, 55km, 111km, 222km   - Trait sets: SCI (sPlot), CIT (GBIF), COMB (combined)   - Metrics: Pearson's r, R², RMSE, nRMSE, MAE, MedAE

2. all_biome_results (777 rows): Per-biome model performance and uncertainty metrics   - 7 biomes (Boreal, Desert, Mediterranean, Temperate, Tropical, Tundra, Montane)   - Includes mean coefficient of variation (COV) and area of applicability (AOA) fraction

3. feature_importance (137,678 rows): Permutation-based feature importance scores   - 150 environmental predictor variables from 5 datasets   - Importance scores with standard deviations and p-values

4. splot_gbif_correlation (185 rows): Correlation between sPlot and GBIF sparse trait grids   - Pearson correlation coefficients at each resolution

5. trait_id_mapping (37 rows): Mapping from trait IDs to human-readable names

spatial_folds.parquet (180 MB)

Spatial cross-validation fold assignments for all 37 traits (~95.6 million location-trait combinations).- Columns: x, y, fold, trait_id- Coordinates in EPSG:6933 (World Equidistant Cylindrical)

cv_obs_vs_pred.parquet (566 MB)

Cross-validation observed vs. predicted values (~35.6 million observations).- Columns: x, y, obs, pred, trait_id, trait_set_abbr- Used for generating observed vs. predicted scatter plots

SCI_CIT_sparse_maps_1km.zip (7.2 GB)

1-km resolution sparse community-weighted mean (CWM) trait maps derived from:- gbif/: 37 GeoTIFF files from GBIF citizen science observations (CIT)- splot/: 37 GeoTIFF files from sPlot vegetation survey data (SCI)

Each GeoTIFF contains 6 bands:1. Mean trait value2. Standard deviation3. Median4. 5th percentile5. 95th percentile6. Observation count

Coordinate reference system: EPSG:6933 (World Equidistant Cylindrical)

Data Sources

- sPlot: Global vegetation plot database (Bruelheide et al., 2019)- GBIF: Global Biodiversity Information Facility occurrence records- TRY: Plant trait database (Kattge et al., 2020)

File Formats

- .xlsx: Microsoft Excel Open XML Format (readable with Excel, LibreOffice, pandas)- .parquet: Apache Parquet columnar format (readable with pandas, R arrow, etc.)- .tif: Cloud Optimized GeoTIFF (readable with GDAL, rasterio, QGIS, etc.)

Contact

Daniel Lusk
DOI: 10.5281/zenodo.17557599
title: Dataset for "How human-derived brain organoids are built differently from brain organoids derived from genetically-close relatives: A multi-scale hypothesis"
DOI: 10.5281/zenodo.17557600
title: Dataset for "How human-derived brain organoids are built differently from brain organoids derived from genetically-close relatives: A multi-scale hypothesis"
DOI: 10.15468/dl.524vk9
title: Occurrence Download

description: A dataset containing 250 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Endospermum diadenum",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 250 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003218-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.76zv5s
title: Occurrence Download

description: A dataset containing 45 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Enriquebeltrania disjuncta",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 45 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003219-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34740/kaggle/dsv/14685669
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.15468/dl.qyzarn
title: Occurrence Download

description: A dataset containing 26 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Erismanthus obliquus",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 26 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003220-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.13140/rg.2.2.12264.94729
title: Flower, foliage, fruit and vegetable exhibition, south Calcutta, WB, India
DOI: 10.15468/dl.g62ms4
title: Occurrence Download

description: A dataset containing 74 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Erythrococca ulugurensis",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 74 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003221-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18439676
title: Reproduction Kit (PLATINUM): Planck 2018 Full Likelihood + BAO Consistency Test of Late-Time Dark Energy Conditioning

description: This archive provides the frozen, publication-grade reproduction kit (PLATINUM) for the analysis presented in:

“A Planck 2018 + BAO Consistency Test of Late-Time Dark Energy Conditioning

Controlled w₀CDM Support-Restriction Diagnostics with Full-Likelihood Data”

The reproduction kit contains all materials required to independently reproduce the numerical results of the combined Planck 2018 FULL + BAO analysis, including:

 

• MCMC chains for all runs (CTRL and RG-conditioned)

• Cobaya YAML configuration files and run metadata

• Jupyter notebooks that regenerate tables and figures

• Posterior summaries and χ² breakdowns

• Environment fingerprints (conda environment export, package versions, system info)

 

All runs use a consistent full-likelihood configuration combining:

Planck 2018 TTTEEE_lite + low-ℓ TT + low-ℓ EE + CMB lensing

BAO distance measurements from SDSS DR12, 6dFGS, and SDSS DR7 MGS

Differences between runs arise solely from conditioning the late-time dark-energy equation-of-state parameter w₀ to the non-phantom domain (w₀ > −1). No additional parameters, priors, or likelihood components are altered. χ² comparisons are therefore meaningful only within the included controlled run set.

This PLATINUM reproduction kit extends and supersedes the Planck-only GOLD analysis by incorporating late-time geometric constraints from BAO data. Earlier SILVER and GOLD reproduction kits remain available as separate Zenodo records for historical transparency and methodological comparison.

The dataset is frozen and intended to support full numerical reproducibility and independent verification of the reported Planck 2018 + BAO consistency results. https://doi.org/10.5281/zenodo.18439799
DOI: 10.5281/zenodo.18439675
title: Reproduction Kit (PLATINUM): Planck 2018 Full Likelihood + BAO Consistency Test of Late-Time Dark Energy Conditioning

description: This archive provides the frozen, publication-grade reproduction kit (PLATINUM) for the analysis presented in:

“A Planck 2018 + BAO Consistency Test of Late-Time Dark Energy Conditioning

Controlled w₀CDM Support-Restriction Diagnostics with Full-Likelihood Data”

The reproduction kit contains all materials required to independently reproduce the numerical results of the combined Planck 2018 FULL + BAO analysis, including:

 

• MCMC chains for all runs (CTRL and RG-conditioned)

• Cobaya YAML configuration files and run metadata

• Jupyter notebooks that regenerate tables and figures

• Posterior summaries and χ² breakdowns

• Environment fingerprints (conda environment export, package versions, system info)

 

All runs use a consistent full-likelihood configuration combining:

Planck 2018 TTTEEE_lite + low-ℓ TT + low-ℓ EE + CMB lensing

BAO distance measurements from SDSS DR12, 6dFGS, and SDSS DR7 MGS

Differences between runs arise solely from conditioning the late-time dark-energy equation-of-state parameter w₀ to the non-phantom domain (w₀ > −1). No additional parameters, priors, or likelihood components are altered. χ² comparisons are therefore meaningful only within the included controlled run set.

This PLATINUM reproduction kit extends and supersedes the Planck-only GOLD analysis by incorporating late-time geometric constraints from BAO data. Earlier SILVER and GOLD reproduction kits remain available as separate Zenodo records for historical transparency and methodological comparison.

The dataset is frozen and intended to support full numerical reproducibility and independent verification of the reported Planck 2018 + BAO consistency results. https://doi.org/10.5281/zenodo.18439799
DOI: 10.6084/m9.figshare.13519118
title: RETRACTED: Detecting Anomalous Time Series by GAMLSS-Akaike-Weights-Scoring

description: We, the American Statistical Association, the Institute of Mathematics, Editors, and Publisher of the Journal of Computational and Graphical Statistics, have retracted the following article: Sodja, Coda. “Detecting Anomalous Time Series by GAMLSS-Akaike-Weights-Scoring,” Journal of Computational and Graphical Statistics, Latest Articles, DOI: 10.1080/10618600.2020.1868306 The retraction is due to a misunderstanding that resulted in a double submission to JCGS and another journal. The author has approved the retraction from JCGS. We have been informed in our decision-making by our policy on publishing ethics and integrity and the COPE guidelines on retractions. The retracted article will remain online to maintain the scholarly record, but it will be digitally watermarked on each page as “Retracted”.
DOI: 10.6084/m9.figshare.13519118.v2
title: RETRACTED: Detecting Anomalous Time Series by GAMLSS-Akaike-Weights-Scoring

description: We, the American Statistical Association, the Institute of Mathematics, Editors, and Publisher of the Journal of Computational and Graphical Statistics, have retracted the following article: Sodja, Coda. “Detecting Anomalous Time Series by GAMLSS-Akaike-Weights-Scoring,” Journal of Computational and Graphical Statistics, Latest Articles, DOI: 10.1080/10618600.2020.1868306 The retraction is due to a misunderstanding that resulted in a double submission to JCGS and another journal. The author has approved the retraction from JCGS. We have been informed in our decision-making by our policy on publishing ethics and integrity and the COPE guidelines on retractions. The retracted article will remain online to maintain the scholarly record, but it will be digitally watermarked on each page as “Retracted”.