cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.xbp5u6
title: Occurrence Download

description: A dataset containing 921 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Peru",
 "Geometry POLYGON((-75.01449 -15.89336,-70.82136 -18.84017,-69.29363 -17.17093,-71.56897 -15.23579,-75.01449 -15.89336))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Asthenes modesta (Eyton, 1851)"
 ]
}

 The dataset includes 921 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0072338-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15757422
title: Microbiological Characterization of Water and Sediment in Ecuadorian Hydroelectric Reservoirs

description: This dataset outlines the microbiological profiles of water and sediment samples collected from the Guangopolo and Cumbayá hydroelectric reservoirs in Ecuador. The samples, collected during four field missions, were analyzed for aerobic mesophilic bacteria, total coliforms, and Pseudomonas spp. Additionally, Gram staining and morphological classification were performed using selective culture media, such as EMB, Cetrimide, and Plate Count. This dataset offers valuable insights into the microbial dynamics of tropical freshwater sediments, contributing to research on water quality, environmental risks, and strategies for the circular economy in sediment reuse.

 

Special thanks to Empresa Electrica Quito, which allowed sampling to be carried out in the Cumbayá and Guangopolo reservoirs under Interinstitutional Cooperation Agreement No. CONV-SG-011-2024.
DOI: 10.5281/zenodo.15757423
title: Microbiological Characterization of Water and Sediment in Ecuadorian Hydroelectric Reservoirs

description: This dataset outlines the microbiological profiles of water and sediment samples collected from the Guangopolo and Cumbayá hydroelectric reservoirs in Ecuador. The samples, collected during four field missions, were analyzed for aerobic mesophilic bacteria, total coliforms, and Pseudomonas spp. Additionally, Gram staining and morphological classification were performed using selective culture media, such as EMB, Cetrimide, and Plate Count. This dataset offers valuable insights into the microbial dynamics of tropical freshwater sediments, contributing to research on water quality, environmental risks, and strategies for the circular economy in sediment reuse.

 

Special thanks to Empresa Electrica Quito, which allowed sampling to be carried out in the Cumbayá and Guangopolo reservoirs under Interinstitutional Cooperation Agreement No. CONV-SG-011-2024.
DOI: 10.6084/m9.figshare.29428985
title: Replication data for "The Retail Habitat" by Toomas Laarits and Marco Sammon

description: Replication code and data for "The Retail Habitat" by Toomas Laarits and Marco Sammon
DOI: 10.6084/m9.figshare.29428985.v1
title: Replication data for "The Retail Habitat" by Toomas Laarits and Marco Sammon

description: Replication code and data for "The Retail Habitat" by Toomas Laarits and Marco Sammon
DOI: 10.15468/dl.dmppkh
title: Occurrence Download

description: A dataset containing 810 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Peru",
 "Geometry POLYGON((-73.60347 -15.05872,-75.06406 -17.53519,-70.53623 -18.36887,-69.07564 -16.93068,-73.60347 -15.05872))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Podilymbus podiceps (Linnaeus, 1758)"
 ]
}

 The dataset includes 810 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0072341-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.u8hvxg
title: Occurrence Download

description: A dataset containing 7653 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Catharus maculatus (P.L.Sclater, 1858)"
 ]
}

 The dataset includes 7653 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0072340-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15757717
title: pop-cosmos: COSMOS-like mock galaxy catalogs

description: This record contains data products associated with the paper "pop-cosmos: Insights from generative modeling of a deep, infrared-selected galaxy population" by Thorp et al. (2025). The mock galaxy catalogs are generated from the pop-cosmos model presented therein, with all plots in the paper being based on the catalogs included here.

Related software, including a demo notebook for working with the data in this record, can be found on GitHub. 

Galaxy-level parameter inferences for the COSMOS2020 galaxies are included in a seperate listing on Zenodo.

The current release includes the following files:



README_v1_0_1.txt: Detailed information about how to read the other files in the record.

mock_catalog_r_25.h5: Mock catalog of 2 million galaxies with $r<25$ in HDF5 format.

mock_catalog_Ch1_26.h5: Mock catalog of 2 million galaxies with $\textit{Ch.1}<26$ in HDF5 format.


If you use any of the products from this record, please cite Alsing et al. (2024) and Thorp et al. (2025).

If you spot any issues or have any requests, please contact the corresponding author (Stephen Thorp) using the details in the README.

References:



Alsing et al. (2024). ApJS 274, 12. [arXiv:2402.00935][doi]

Thorp et al. (2025). ApJ, submitted. [arXiv:2506.12122]
DOI: 10.15468/dl.wd4myk
title: Occurrence Download

description: A dataset containing 0 records in GBIF matching the query:
SELECT
 kingdom,
 kingdomkey,
 phylum,
 phylumkey,
 class,
 classkey,
 "order",
 orderkey,
 family,
 familykey,
 genus,
 genuskey,
 species,
 specieskey,
 "year",
 countrycode countrycode,
 IF(ISNULL(kingdomkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY kingdomkey, countrycode, "year")) kingdomcount,
 IF(ISNULL(phylumkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY phylumkey, countrycode, "year")) phylumcount,
 IF(ISNULL(classkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY classkey, countrycode, "year")) classcount,
 IF(ISNULL(orderkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY orderkey, countrycode, "year")) ordercount,
 IF(ISNULL(familykey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY familykey, countrycode, "year")) familycount,
 IF(ISNULL(genuskey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY genuskey, countrycode, "year")) genuscount,
 COUNT(*) occurrences,
 MIN(GBIF_TEMPORALUNCERTAINTY(eventdate, eventtime)) mintemporaluncertainty,
 MIN(COALESCE(coordinateuncertaintyinmeters, 1000)) mincoordinateuncertaintyinmeters
FROM
 occurrence
WHERE
 occurrence.publishingorgkey = 'cdef28b1-db4e-4c58-aa71-3c5238c2d0b5'
 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 NOT occurrence.basisofrecord IN ('FOSSIL_SPECIMEN', 'LIVING_SPECIMEN')
 AND occurrence.occurrencestatus = 'PRESENT'
 AND (occurrence.specieskey IS NOT NULL AND occurrence."year" IS NOT NULL AND occurrence.hascoordinate = TRUE)
GROUP BY
 occurrence.kingdom,
 occurrence.kingdomkey,
 occurrence.phylum,
 occurrence.phylumkey,
 occurrence.class,
 occurrence.classkey,
 occurrence."order",
 occurrence.orderkey,
 occurrence.family,
 occurrence.familykey,
 occurrence.genus,
 occurrence.genuskey,
 occurrence.species,
 occurrence.specieskey,
 occurrence."year",
 occurrence.countrycode

 The dataset's 0 records were derived from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0072330-250525065834625/datasets/export for details.
DOI: 10.15468/dl.v2z2sq
title: Occurrence Download

description: A dataset containing 73001 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Material sample)"
 ]
 }
 },
 "TaxonKey is Euplectes ardens (Boddaert, 1783)",
 "Continent is one of (Africa)",
 "Year is greater than or equal to 1900"
 ]
}

 The dataset includes 73001 records from 56 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0072320-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.k5qf9u
title: Occurrence Download

description: A dataset containing 269 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Material sample)"
 ]
 }
 },
 "TaxonKey is Euplectes aureus (Gmelin, 1789)",
 "Continent is one of (Africa)",
 "Year is greater than or equal to 1900"
 ]
}

 The dataset includes 269 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0072346-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6073/pasta/b434ede0ac0fc90aaf28a86f1232ed29
title: Functional Trait Measurements and Depth Distribution of Macroalgal Communities in the Santa Barbara Channel

description: This dataset contains trait and elemental composition data for
 macroalgal samples collected across depth gradients at multiple
 sites in the Santa Barbara Channel, California. Each sample
 represents an individual specimen characterized by morphological
 measurements (e.g., blade thickness, stipe diameter, total
 height), biomass of anatomical parts (blade, stipe, holdfast,
 reproductive tissue), and anchoring strength. In addition,
 biochemical traits—including carbon (C), nitrogen (N), and
 hydrogen (H) content—were measured from tissue samples analyzed in
 the analytical laboratory. These data support a trait-based
 modeling approach to macroalgal community structure and
 distribution, contributing to our understanding of functional
 diversity and ecosystem dynamics in temperate marine systems.
 Accompanying metadata include collection site, date, time, depth,
 location coordinates, and substrate type, providing context for
 environmental variation across samples.
DOI: 10.15468/dl.jzyrdr
title: Occurrence Download

description: A dataset listing the 445956 species recorded in GBIF matching the query:
{
 "DatasetKey" : [
 "is iNaturalist Research-grade Observations"
 ]
}

 The dataset's 445956 records were derived from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0072339-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rqrv4e
title: Occurrence Download

description: A dataset containing 7 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is one of (Lepidomeda mollispinis pratensis Miller & Hubbs, 1960)"
 ]
}

 The dataset includes 7 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0072350-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.y55c37
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "ScientificName is Abelmoschus moschatus",
 "Country is Cook Islands",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0072354-250525065834625/datasets/export for details.
DOI: 10.15468/dl.bhh2hm
title: Occurrence Download

description: A dataset containing 1250 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Peru",
 "Geometry POLYGON((-77.13382 -13.88853,-70.17204 -18.49276,-68.84157 -16.75298,-73.38993 -12.98571,-77.13382 -13.88853))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Asthenes modesta (Eyton, 1851)"
 ]
}

 The dataset includes 1250 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0072353-250525065834625/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/12305383
title: Daftar Pengadilan Indonesia
DOI: 10.15468/dl.jgtzgq
title: Occurrence Download

description: A dataset containing 186 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is one of (Lepidomeda mollispinis Miller & Hubbs, 1960)"
 ]
}

 The dataset includes 186 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0072352-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mwcy5y
title: Occurrence Download

description: A dataset containing 215174 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Astragalus schelichowii Turcz., Lathyrus japonicus Willd., Geranium erianthum DC., Epilobium palustre L., Pedicularis resupinata L.)",
 "Geometry POLYGON ((-180 45.53015, 180 45.53015, 180 83.62313, -180 83.62313, -180 45.53015))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "CoordinateUncertaintyInMeters is less than or equal to 50000"
 ]
}

 The dataset includes 215174 records from 508 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0072343-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pk3tuc
title: Occurrence Download

description: A dataset containing 657 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "Country is one of (United States of America, United States Minor Outlying Islands, American Samoa, Micronesia (Federated States of), Guam, Marshall Islands, Northern Mariana Islands, Puerto Rico, Palau, Virgin Islands (U.S.))",
 {
 "not" : {
 "Issue" : [
 "is Country coordinate mismatch"
 ]
 }
 }
 ]
 },
 {
 "and" : [
 "BasisOfRecord is one of (Observation, Machine Observation, Human Observation, Material sample, Material citation, Specimen, Living Specimen, Occurrence evidence)",
 "Year 1975-2025",
 "TaxonKey is one of (Obovaria subrotunda Rafinesque, 1820)"
 ]
 }
 ]
}

 The dataset includes 657 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011625-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh1067964.10fu
title: SH1067964.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1067967.10fu
title: SH1067967.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1067970.10fu
title: SH1067970.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1067971.10fu
title: SH1067971.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1067973.10fu
title: SH1067973.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1067977.10fu
title: SH1067977.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1067981.10fu
title: SH1067981.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1067985.10fu
title: SH1067985.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.