cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.3535/j0a-579-sha
title: Micromesistius

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.15468/dl.5ytvwr
title: Occurrence Download

description: A dataset containing 15185 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Petromyzon marinus"
 ]
}

 The dataset includes 15185 records from 221 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0078872-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xkthnd
title: Occurrence Download

description: A dataset containing 4484 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "PublishingCountry is Colombia",
 {
 "and" : [
 "Country is Colombia",
 {
 "not" : {
 "Issue" : [
 "is Country coordinate mismatch"
 ]
 }
 }
 ]
 }
 ]
 },
 "TaxonKey is one of (Apis mellifera Linnaeus, 1758)"
 ]
}

 The dataset includes 4484 records from 56 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003969-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3886/icpsr35371.v3
title: Survey of Consumer Attitudes and Behavior, March 2005
title: Version 3

description: The Survey of Consumer Attitudes and Behavior series (also known as the Surveys of Consumers) was undertaken to measure changes in consumer attitudes and expectations, to understand why such changes occur, and to evaluate how they relate to consumer decisions to save, borrow, or make discretionary purchases. The data regularly include the Index of Consumer Sentiment, the Index of Current Economic Conditions, and the Index of Consumer Expectations. Since the 1940s, these surveys have been produced quarterly through 1977 and monthly thereafter. The surveys conducted in 2005 focused on topics such as evaluations and expectations about personal finances, employment, price changes, and the national business situation. Opinions were collected regarding respondents' appraisals of present market conditions for purchasing houses, automobiles, and other durables. Also explored in this survey, were respondents' types of savings and financial investments, loan use, family income, and retirement planning. Other topics in this series typically include ownership, lease, and use of automobiles, voting behavior, recreational vehicle use and respondents' familiarity with and use of the Internet. Demographic information includes ethnic origin, sex, age, marital status, and education.
description: The purpose of this survey series is to forecast changes in aggregate consumer behavior.
description: The data are not weighted. This collection contains four weight variables; WT (HOUSEHOLD HEAD WEIGHT), WT_HH (HOUSEHOLD WEIGHT), WT_ADHD (ADULT HEAD WEIGHT), and WT_AD (ADULT WEIGHT) that must be used in any analysis. For more information on weights and sampling, please refer to the documentation and/or visit the Surveys of Consumers Web site.
description: National sample of dwelling units selected by area probability sampling.
description: Datasets: DS1: Survey of Consumer Attitudes and Behavior, March 2005
description: Persons aged 18 years or older living in households with telephones within the United States. Smallest Geographic Unit: Census Division
description: computer-assisted telephone interview (CATI)Information on the Index of Consumer Sentiment, the Index of Current Economic Conditions, and the Index of Consumer Expectations and how they were created can be found in the P.I Codebook.Additional information on the Survey of Consumers can be found by visiting the Surveys of Consumers Web site.
DOI: 10.15468/dl.cqam4j
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Nomada salicis Robertson, 1900"
 ]
}

 The dataset includes 3 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003971-250525065834625/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.28900058
title: Stale Ce isotopes

description: Stable Ce isotopes of the Quaternary alkaline and calc-alkaline basaltic rocks from the Mt.Popa and Singu areas in the central Myanmar
DOI: 10.15468/dl.rsg7xe
title: Occurrence Download

description: A dataset containing 154 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON ((-87.7404817999999977 41.8726815999999999, -87.7404817999999977 41.8748441099999980, -87.7404817999999977 41.8768714699999975, -87.7404817999999977 41.8799800800000028, -87.7404817999999977 41.8820074300000016, -87.7404817999999977 41.8843050999999988, -87.7404817999999977 41.8861972999999992, -87.7384521500000005 41.8861972999999992, -87.7357457300000050 41.8861972999999992, -87.7331746400000014 41.8861972999999992, -87.7307388600000024 41.8861972999999992, -87.7268145599999940 41.8861972999999992, -87.7243787799999950 41.8861972999999992, -87.7226196099999953 41.8861972999999992, -87.7201840000000033 41.8861972999999992, -87.7201840000000033 41.8829535300000018, -87.7201840000000033 41.8807910199999966, -87.7201840000000033 41.8775472499999992, -87.7201840000000033 41.8751144300000036, -87.7201840000000033 41.8726815999999999, -87.7222136500000005 41.8726815999999999, -87.7258673099999982 41.8726815999999999, -87.7277617999999961 41.8726815999999999, -87.7316861099999983 41.8726815999999999, -87.7346631700000046 41.8726815999999999, -87.7366929800000008 41.8726815999999999, -87.7404817999999977 41.8726815999999999))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1932",
 "BasisOfRecord is one of (Human Observation, Living Specimen, Observation, Specimen, Machine Observation)"
 ]
}

 The dataset includes 154 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0086802-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xvwuyf
title: Occurrence Download

description: A dataset containing 74 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Chile",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Nothofagus macrocarpa (A.DC.) F.M.Vázquez & R.A.Rodr."
 ]
}

 The dataset includes 74 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010386-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zfxlwx
title: Occurrence Download

description: A dataset containing 1033 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Melanelia exasperata (De Not.) Essl."
 ]
}

 The dataset includes 1033 records from 45 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000124-190306134739812/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wewydy
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is (Table 1) Proportion of Toxoplasma gondii seropositive arctic foxes (Alopex lagopus) by age group and geographic area"
 ]
}

 The dataset includes 8 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014167-160910150852091/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.npmh44
title: Occurrence Download

description: A dataset containing 221167 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Costa Rica",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is one of (Mammalia, Reptilia, Pharomachrus La Llave, 1832, Colibri von Spix, 1824, Arachnida, Morpho cypris Westwood, Amanita Dill. ex Boehm., 1760, Amphibia Linne, 1758, Amphibia)"
 ]
}

 The dataset includes 221167 records from 226 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0086794-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.smedk3
title: Occurrence Download

description: A dataset containing 12613 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Linum alpinum Jacq."
 ]
}

 The dataset includes 12613 records from 223 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010395-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dacv9f
title: Occurrence Download

description: A dataset containing 105359870 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Observation, Machine Observation, Human Observation, Occurrence evidence)",
 "OccurrenceStatus is Present",
 "TaxonKey is Insecta"
 ]
}

 The dataset includes 105359870 records from 6339 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0064524-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh1432558.10fu
title: SH1432558.10FU

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/sh1432559.10fu
title: SH1432559.10FU

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/sh1432560.10fu
title: SH1432560.10FU

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/sh1432561.10fu
title: SH1432561.10FU

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/sh1432562.10fu
title: SH1432562.10FU

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/sh1432563.10fu
title: SH1432563.10FU

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/sh1432564.10fu
title: SH1432564.10FU

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/sh1432565.10fu
title: SH1432565.10FU

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/sh1432566.10fu
title: SH1432566.10FU

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/sh1432567.10fu
title: SH1432567.10FU

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: 10.34740/kaggle/dsv/14980848
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.60686/t-fsd4069
title: FSD4069 Basic Skills Training Courses by Liberal Adult Education in Finnish Prisons: Students' Initial Survey 2024-2025
DOI: 10.6084/m9.figshare.8311070
title: Patience Experimental Results

description: February 2026. This dataset contains extensive supporting data for the following paperThe Winnability of Klondike Solitaire and Many Other Patience Gamesby Charlie Blake, Ian P. GentJournal of Artificial Intelligence Research February 2026Volume 85, Article 21, 47 Pagesdoi: 10.1613/jair.1.17167Earlier, pre-publication, versions of the paper can be found at https://arxiv.org/abs/1906.12314Files containing experimental results for our work on Patience and Solitaire games including Klondike, Canfield and others.File is a tarred and gzipped archive of many files in a number of directories, the most important being many .csv files. Each line of a csv file contains an experimental result (not necessarily conclusive) of a run of Solvitaire on a randomly generated layout of a particular game of patience. Additional directories include testing of our random number generation, replications of results from code produced by Jan Wolter, and testing of our code in its most recent version against the versions used in the main csv files.This data set is v10 (internal numbering) of the data set and is labelled as Version 7 of the Figshare data set.<br><br><br>
DOI: 10.6084/m9.figshare.8311070.v7
title: Patience Experimental Results

description: February 2026. This dataset contains extensive supporting data for the following paperThe Winnability of Klondike Solitaire and Many Other Patience Gamesby Charlie Blake, Ian P. GentJournal of Artificial Intelligence Research February 2026Volume 85, Article 21, 47 Pagesdoi: 10.1613/jair.1.17167Earlier, pre-publication, versions of the paper can be found at https://arxiv.org/abs/1906.12314Files containing experimental results for our work on Patience and Solitaire games including Klondike, Canfield and others.File is a tarred and gzipped archive of many files in a number of directories, the most important being many .csv files. Each line of a csv file contains an experimental result (not necessarily conclusive) of a run of Solvitaire on a randomly generated layout of a particular game of patience. Additional directories include testing of our random number generation, replications of results from code produced by Jan Wolter, and testing of our code in its most recent version against the versions used in the main csv files.This data set is v10 (internal numbering) of the data set and is labelled as Version 7 of the Figshare data set.<br><br><br>