cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.der7ec
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Citrullus lanatus",
 "Country is Kiribati",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0048058-250717081556266/datasets/export for details.
DOI: 10.15468/dl.34s2nu
title: Occurrence Download

description: A dataset containing 46 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Hypostomus robinii)",
 "BasisOfRecord is one of (Specimen, Literature Occurrence, Human Observation, Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1991",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 46 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0048060-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5jyg2t
title: Occurrence Download

description: A dataset containing 23376 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Benthosema glaciale"
 ]
}

 The dataset includes 23376 records from 77 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0048059-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3yrgmt
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Citrullus lanatus",
 "Country is Lithuania",
 "HasCoordinate is true"
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0048062-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qbs4dr
title: Occurrence Download

description: A dataset containing 52 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Passiflora foetida",
 "Country is Viet Nam",
 "HasCoordinate is true"
 ]
}

 The dataset includes 52 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0048061-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bj2emj
title: Occurrence Download

description: A dataset containing 449 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Geometry POLYGON((-80.01974 40.28482,-73.24808 40.28482,-73.24808 45.16336,-80.01974 45.16336,-80.01974 40.28482))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Epitheca cynosura",
 "Year 1931-2025"
 ]
}

 The dataset includes 449 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0048063-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nffmmf
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Laubuka caeruleostigmata)",
 "BasisOfRecord is one of (Specimen, Literature Occurrence, Human Observation, Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1991",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0048064-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5q4wra
title: Occurrence Download

description: A dataset containing 44 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Citrullus lanatus",
 "Country is Madagascar",
 "HasCoordinate is true"
 ]
}

 The dataset includes 44 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0048065-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.muvz3y
title: Occurrence Download

description: A dataset containing 1417 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Beryx decadactylus"
 ]
}

 The dataset includes 1417 records from 97 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0048066-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.u84r7p
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Human Observation, Machine Observation, Occurrence evidence, Observation)",
 "TaxonKey is one of (Acrocephalus scirpaceus)",
 "Country is one of (Anguilla, Antigua and Barbuda, Argentina, Aruba, Bahamas, Barbados, Belize, Bolivia (Plurinational State of), Bonaire, Sint Eustatius and Saba, Bouvet Island, Brazil, Cayman Islands, Chile, Colombia, Costa Rica, Cuba, Curaçao, Dominica, Dominican Republic, Ecuador, El Salvador, Falkland Islands (Malvinas), French Guiana, Grenada, Guadeloupe, Guatemala, Guyana, Haiti, Honduras, Jamaica, Martinique, Mexico, Montserrat, Nicaragua, Panama, Paraguay, Peru, Puerto Rico, Saint Barthélemy, Saint Kitts and Nevis, Saint Lucia, Saint Martin (French part), Saint Vincent and the Grenadines, Sint Maarten (Dutch part), South Georgia and the South Sandwich Islands, Suriname, Trinidad and Tobago, Turks and Caicos Islands, Uruguay, Venezuela (Bolivarian Republic of), Virgin Islands (British), Virgin Islands (U.S.))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0048068-250717081556266/datasets/export for details.
DOI: 10.15468/dl.h9t2tu
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Human Observation, Machine Observation, Occurrence evidence, Observation)",
 "TaxonKey is one of (Acrocephalus scirpaceus)",
 "Country is one of (Bermuda, Canada, Greenland, Saint Pierre and Miquelon, United States of America)"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0048069-250717081556266/datasets/export for details.
DOI: 10.15468/dl.9fhnpc
title: Occurrence Download

description: A dataset containing 76 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Citrullus lanatus",
 "Country is Maldives",
 "HasCoordinate is true"
 ]
}

 The dataset includes 76 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0048070-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.efzs4k
title: Occurrence Download

description: A dataset containing 112 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Citrullus lanatus",
 "Country is Netherlands",
 "HasCoordinate is true"
 ]
}

 The dataset includes 112 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0048071-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.z75gt6
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Heterotilapia cessiana)",
 "BasisOfRecord is one of (Specimen, Literature Occurrence, Human Observation, Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1991",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0048072-250717081556266/datasets/export for details.
DOI: 10.5281/zenodo.16033193
title: Has this cell type annotation worked?

description: Present dataset is the result of applying reference-based RCTD cell typing method on the 8um bin of the public P2 human CRC dataset as downloaded from 10x website. Public single-cell HTAN CRC data (validation cohort) from CellXGene was used as a reference to assign cell labels. The choice of CRC for this illustration is purely random.

The dataset structure is as follows:

visiumhd-crc-p2
    adata
        visium-hd-crc-p2
            square_008um.h5ad
    atlas
        811ac326-d5a0-468e-9306-2a6f9874df0b.h5ad
        visium-hd-crc-p2
            adata_matched.h5ad
    example.ipynb
    pipeline_info
        versions.yml
    squidpy
        visium-hd-crc-p2
            figures
                centrality_scores.png
                co_occurrence_abnormal cell.png
                co_occurrence_goblet cell.png
                co_occurrence_gut absorptive cell.png
                co_occurrence_intestinal crypt stem cell of colon.png
                co_occurrence_intestinal enteroendocrine cell.png
                co_occurrence_intestinal epithelial cell.png
                co_occurrence_neoplastic cell.png
                co_occurrence_transit amplifying cell.png
                co_occurrence_tuft cell.png
                interaction_matrix.png
                nhood_enrichment.png
                spatial_scatter.png
            spatially_variable_genes.csv
            squidpy.h5ad

Interested parties are invited to look at `squidpy/visium-hd-crc-p2/squidpy.h5ad`, it contains the original counts matrix in `adata.X`, associated spatial information, as well as most abundant cell type in `adata.obs['cell_type']` and raw RCTD outputs in `adata.uns['cell_types']`.

Furthermore, `example.ipynb` contains some toy scripts to get started with analysis. Other files are untransformed and transformed versions of source data and some basic squidpy plots.

Those feeling more comfortable with R fill find `crc-p2-visiumHD.h5seurat` useful, along with `crc-p2-rctd-cell_types.csv.zip` that contains cell type predictions.
DOI: 10.5281/zenodo.16427008
title: Has this cell type annotation worked?

description: Present dataset is the result of applying reference-based RCTD cell typing method on the 8um bin of the public P2 human CRC dataset as downloaded from 10x website. Public single-cell HTAN CRC data (validation cohort) from CellXGene was used as a reference to assign cell labels. The choice of CRC for this illustration is purely random.

The dataset structure is as follows:

visiumhd-crc-p2
    adata
        visium-hd-crc-p2
            square_008um.h5ad
    atlas
        811ac326-d5a0-468e-9306-2a6f9874df0b.h5ad
        visium-hd-crc-p2
            adata_matched.h5ad
    example.ipynb
    pipeline_info
        versions.yml
    squidpy
        visium-hd-crc-p2
            figures
                centrality_scores.png
                co_occurrence_abnormal cell.png
                co_occurrence_goblet cell.png
                co_occurrence_gut absorptive cell.png
                co_occurrence_intestinal crypt stem cell of colon.png
                co_occurrence_intestinal enteroendocrine cell.png
                co_occurrence_intestinal epithelial cell.png
                co_occurrence_neoplastic cell.png
                co_occurrence_transit amplifying cell.png
                co_occurrence_tuft cell.png
                interaction_matrix.png
                nhood_enrichment.png
                spatial_scatter.png
            spatially_variable_genes.csv
            squidpy.h5ad

Interested parties are invited to look at `squidpy/visium-hd-crc-p2/squidpy.h5ad`, it contains the original counts matrix in `adata.X`, associated spatial information, as well as most abundant cell type in `adata.obs['cell_type']` and raw RCTD outputs in `adata.uns['cell_types']`.

Furthermore, `example.ipynb` contains some toy scripts to get started with analysis. Other files are untransformed and transformed versions of source data and some basic squidpy plots.

Those feeling more comfortable with R fill find `crc-p2-visiumHD.h5seurat` useful, along with `crc-p2-rctd-cell_types.csv.zip` that contains cell type predictions.
DOI: 10.15468/dl.qv9r2s
title: Occurrence Download

description: A dataset containing 42 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Thespesia populnea",
 "Country is Bahamas",
 "HasCoordinate is true"
 ]
}

 The dataset includes 42 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0048073-250717081556266/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.29632589
title: IDWE_CHM (NRT_L)

description: A near-real-time (NRT) extension of the IDWE_CHM dataset with ongoing daily updates beyond 2023. This NRT product continues to apply the IDWE framework on incoming data, thereby extending the record in near real-time. For a comprehensive description of the project, please refer to:<br><b>An Incremental Dynamic Weighting Ensemble Framework for Long-Term and NRT Precipitation Prediction</b><br>https://figshare.com/projects/An_Incremental_Dynamic_Weighting_Ensemble_Framework_for_Long-Term_and_NRT_Precipitation_Prediction/241619<br>The IDWE_CHM dataset provides <b>four precipitation variables</b>, all derived from the ensemble framework but with slightly different modeling approaches:<b>ENS_Reg</b> – A purely regression-based merged precipitation estimate. This product is generated by optimally weighting and combining the input datasets (ERA5-Land, IMERG, GSMaP, etc.) using regression, without additional classification. It serves as a baseline for the IDWE approach.<b>ENS_RegCla1</b>, <b>ENS_RegCla2</b>, <b>ENS_RegCla3</b> – Three variants of a hybrid <i>regression-plus-classification</i> approach (collectively called <b>ENS_RegCla</b>). These are produced by first applying the regression merging (as in ENS_Reg) and then using a classification step to adjust the estimates. The classification is enhanced with incremental learning, meaning the algorithm learns from errors over time. These three variants may correspond to different configurations or epochs of incremental learning, and they generally show improved skill in capturing precipitation occurrence and extremes compared to a regression-only merge.The updates of IDWE_CHM (NRT_L) are temporally coordinated with those of the five datasets integrated in the fusion process, with explicit synchronization maintained for the ERA5-Land dataset (available at: https://cds.climate.copernicus.eu/datasets/reanalysis-era5-land?tab=overview), which exhibits ~5 days latency compared to other fused datasets.
DOI: 10.6084/m9.figshare.29632589.v1
title: IDWE_CHM (NRT_L)

description: A near-real-time (NRT) extension of the IDWE_CHM dataset with ongoing daily updates beyond 2023. This NRT product continues to apply the IDWE framework on incoming data, thereby extending the record in near real-time. For a comprehensive description of the project, please refer to:<br><b>An Incremental Dynamic Weighting Ensemble Framework for Long-Term and NRT Precipitation Prediction</b><br>https://figshare.com/projects/An_Incremental_Dynamic_Weighting_Ensemble_Framework_for_Long-Term_and_NRT_Precipitation_Prediction/241619<br>The IDWE_CHM dataset provides <b>four precipitation variables</b>, all derived from the ensemble framework but with slightly different modeling approaches:<b>ENS_Reg</b> – A purely regression-based merged precipitation estimate. This product is generated by optimally weighting and combining the input datasets (ERA5-Land, IMERG, GSMaP, etc.) using regression, without additional classification. It serves as a baseline for the IDWE approach.<b>ENS_RegCla1</b>, <b>ENS_RegCla2</b>, <b>ENS_RegCla3</b> – Three variants of a hybrid <i>regression-plus-classification</i> approach (collectively called <b>ENS_RegCla</b>). These are produced by first applying the regression merging (as in ENS_Reg) and then using a classification step to adjust the estimates. The classification is enhanced with incremental learning, meaning the algorithm learns from errors over time. These three variants may correspond to different configurations or epochs of incremental learning, and they generally show improved skill in capturing precipitation occurrence and extremes compared to a regression-only merge.The updates of IDWE_CHM (NRT_L) are temporally coordinated with those of the five datasets integrated in the fusion process, with explicit synchronization maintained for the ERA5-Land dataset (available at: https://cds.climate.copernicus.eu/datasets/reanalysis-era5-land?tab=overview), which exhibits ~5 days latency compared to other fused datasets.
DOI: 10.15468/dl.atey5x
title: Occurrence Download

description: A dataset containing 19443 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Human Observation, Machine Observation, Occurrence evidence, Observation)",
 "TaxonKey is one of (Acrocephalus scirpaceus)",
 "Country is one of (Algeria, Angola, Benin, Botswana, British Indian Ocean Territory, Burkina Faso, Burundi, Cabo Verde, Cameroon, Central African Republic, Chad, Comoros, Congo, Congo, Democratic Republic of the, Côte d’Ivoire, Djibouti, Egypt, Equatorial Guinea, Eritrea, Eswatini, Ethiopia, French Southern Territories, Gabon, Gambia, Ghana, Guinea, Guinea-Bissau, Kenya, Lesotho, Liberia, Libya, Madagascar, Malawi, Mali, Mauritania, Mauritius, Mayotte, Morocco, Mozambique, Namibia, Niger, Nigeria, Réunion, Rwanda, Saint Helena, Ascension and Tristan da Cunha, Sao Tome and Principe, Senegal, Seychelles, Sierra Leone, Somalia, South Africa, South Sudan, Sudan, Tanzania, United Republic of, Togo, Tunisia, Uganda, Western Sahara, Zambia, Zimbabwe)"
 ]
}

 The dataset includes 19443 records from 32 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0048075-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.q2ruqq
title: Occurrence Download

description: A dataset containing 247218 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Persicaria hydropiper"
 ]
}

 The dataset includes 247218 records from 1381 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0047997-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.arb95b
title: Occurrence Download

description: A dataset containing 26711 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-123.1684 49.68507,-123.16838 49.68462,-123.16725 49.68366,-123.16703 49.68313,-123.16562 49.68212,-123.16482 49.68199,-123.1623 49.68276,-123.16064 49.6842,-123.16046 49.68516,-123.15834 49.68715,-123.15839 49.68808,-123.15954 49.68871,-123.16036 49.68868,-123.1612 49.68827,-123.1635 49.68613,-123.16406 49.68546,-123.16437 49.68685,-123.1623 49.68873,-123.16072 49.68967,-123.15969 49.69111,-123.1589 49.69159,-123.15743 49.69215,-123.1553 49.69361,-123.15488 49.69422,-123.15528 49.69514,-123.15615 49.69549,-123.15714 49.69544,-123.1596 49.69424,-123.15993 49.69374,-123.16243 49.69262,-123.16356 49.69089,-123.1649 49.69003,-123.16752 49.68771,-123.1678 49.68698,-123.16763 49.68619,-123.16818 49.68585,-123.1684 49.68507))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 26711 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001711-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.aqujc2
title: Occurrence Download

description: A dataset containing 6748 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-6.31159 36.54395,-6.30535 36.5212,-6.27377 36.54395,-6.27377 36.54699,-6.31159 36.54699,-6.31159 36.54395))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 6748 records from 42 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0242477-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yndpnx
title: Occurrence Download

description: A dataset containing 133 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Shachia circumscripta Butler, 1885",
 "HasCoordinate is true",
 "Country is Japan",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 133 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0197604-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3askxg
title: Occurrence Download

description: A dataset containing 119880 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Ichthyosaura alpestris (Laurenti, 1768)"
 ]
}

 The dataset includes 119880 records from 556 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0245902-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rmpgar
title: Occurrence Download

description: A dataset containing 183 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Huangtcia renifolia (L.) H.Ohashi & K.Ohashi"
 ]
}

 The dataset includes 183 records from 31 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0243237-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qdz836
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ludwigia palustris (L.) Elliott",
 "HasCoordinate is true",
 "Country is Japan",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0197613-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4bpuzz
title: Occurrence Download

description: A dataset containing 16 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Mermithida",
 "HasCoordinate is true",
 "Country is Japan",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 16 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0256763-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.