cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.26181/12864236
title: The Australian neighbourhood land-use profile dataset

description: The land-use profile surrounding a neighbourhood is a determinant of health and associated with socioeconomic outcomes. In Australia, there is no national publicly available dataset detailing the land-use profile surrounding residential neighbourhoods. Using PostGIS a centroid was placed in every Australian Bureau of Statistics (ABS) defined Mesh Block (MB) – the smallest geographical structure in Australian geography which details the category of land-use (i.e. residential, parkland, commercial, industrial etc.) and population. Each MB was assigned a remoteness classification and socioeconomic status, as defined by the ABS. After a buffer based on a radius of 400 metres, 1-kilometre, 2-kilometres, and 5-kilometres was calculated around each centroid, the square metre of, and the percentage of the buffer covered by, each land-use category was calculated. This dataset will support the decisions of urban planners, diverse government departments, researchers and those involved in public and environmental health.
DOI: 10.7910/dvn/zqaq60
title: TEST123

description: Prueba
DOI: 10.6084/m9.figshare.19953008.v4
title: Interdisciplinary Water Risk Assessment Framework for Ontario, Canada

description: This interdisicplinary water risk assessment framework is the primary output of our study entitled "<strong>Developing a novel interdisciplinary water risk assessment framework for sustainable water management in Ontario, Canada". </strong> It consists of six water risk databases with the data and final ratings assessed for each of the 38 sub-watersheds investigated in this study under each indicator. The complete methodological details, analysis scales, and primary data sources used to construct the 6 databases are provided in the main article. The secondary data used in this framework is publicly available online thus maintaining compliance with Article 2.2 that grants exemption from the Research Ethics Board Review. The sources have been provided in the main article.
DOI: 10.3886/e113546v1-128940
title: Replication data for: Labor Supply and the Value of Non-work Time: Experimental Estimates from the Field

description: We estimate the marginal value of non-work time (MVT) using a field experiment. We offered job applicants randomized wage-hour bundles. Choices over these bundles yield estimates of the MVT as a function of hours, tracing out a labor supply relationship. The substitution effect is positive. Individual labor supply is highly elastic at low hours and more inelastic at higher hours. For unemployed applicants, our preferred estimate of the average opportunity cost of a full-time job due to lost leisure and household production is 60 percent of after-tax marginal product, and 72 percent when including fixed costs of employment and child-care costs.
DOI: 10.15468/dl.ugvn3h
title: Occurrence Download

description: A dataset containing 13524 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Asia",
 "Country is China",
 "OccurrenceStatus is Present",
 "TaxonKey is Falco tinnunculus Linnaeus, 1758",
 "Year 1000-2024"
 ]
}

 The dataset includes 13524 records from 35 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041743-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.10885960
title: Generative AI in Crowdwork for Web and Social Media Research: A Survey of Workers at Three Platforms

description: Data generated for the paper "Generative AI in Crowdwork for Web and Social Media Research:A Survey of Workers at Three Platforms" presented at ICWSM 2024.
DOI: 10.5281/zenodo.10885961
title: Generative AI in Crowdwork for Web and Social Media Research: A Survey of Workers at Three Platforms

description: Data generated for the paper "Generative AI in Crowdwork for Web and Social Media Research:A Survey of Workers at Three Platforms" presented at ICWSM 2024.
DOI: 10.15468/dl.t4wrjg
title: Occurrence Download

description: A dataset containing 78 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Leontopodium caespitosum Diels"
 ]
}

 The dataset includes 78 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041749-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ct2786
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Lagenandra undulata Sastry"
 ]
}

 The dataset includes 2 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041748-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jhjk5u
title: Occurrence Download

description: A dataset containing 14870 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Lathyrus clymenum L."
 ]
}

 The dataset includes 14870 records from 247 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041747-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.u8z5du
title: Occurrence Download

description: A dataset containing 4434 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Asia",
 "Country is China",
 "OccurrenceStatus is Present",
 "TaxonKey is Falco peregrinus Tunstall, 1771",
 "Year 1000-2024"
 ]
}

 The dataset includes 4434 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041750-240321170329656/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.25486942
title: <b>Temporal biology data for 15 urban green spaces in Tokyo</b>

description: These are two periods of observations of plants, birds, and butterflies in the 15 remaining green spaces in Tokyo. Also included are data on the area and percentage of green cover for each green space.
DOI: 10.6084/m9.figshare.25486942.v1
title: <b>Temporal biology data for 15 urban green spaces in Tokyo</b>

description: These are two periods of observations of plants, birds, and butterflies in the 15 remaining green spaces in Tokyo. Also included are data on the area and percentage of green cover for each green space.
DOI: 10.15468/dl.crpbyv
title: Occurrence Download

description: A dataset containing 602 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Leontopodium calocephalum (Franch.) Beauverd"
 ]
}

 The dataset includes 602 records from 26 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041752-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.eghcer
title: Occurrence Download

description: A dataset containing 12 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Lagenantha cycloptera (Stapf) M.G.Gilbert & Friis"
 ]
}

 The dataset includes 12 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041753-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.uqb74a
title: Occurrence Download

description: A dataset containing 318 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (Sweden, Estonia, Germany, Switzerland, Austria, Italy, Poland, Czechia, Ukraine, Russian Federation, Romania, Bulgaria, Greece)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Pleurochaete squarrosa (Brid.) Lindb."
 ]
}

 The dataset includes 318 records from 26 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041755-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mwqd4d
title: Occurrence Download

description: A dataset containing 3253 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Asia",
 "Country is China",
 "OccurrenceStatus is Present",
 "TaxonKey is Centropus sinensis (Stephens, 1815)",
 "Year 1000-2024"
 ]
}

 The dataset includes 3253 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041754-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nwfe8r
title: Occurrence Download

description: A dataset listing the 1000 species recorded in GBIF matching the query:
{
 "and" : [
 "Continent is Asia",
 "Country is China",
 "GadmGid is CHN.13.12_1",
 "Geometry POLYGON((85.64938 19.65683,137.64011 19.65683,137.64011 40.42643,85.64938 40.42643,85.64938 19.65683))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Animalia",
 "Year 2000-2024"
 ]
}

 The dataset's 1000 records were derived from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041709-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2w7abb
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Lathyrus colchicus Lipsky"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041758-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vd8sm4
title: Occurrence Download

description: A dataset containing 535 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is South Africa",
 "TaxonKey is Dacus ciliatus Loew, 1862"
 ]
}

 The dataset includes 535 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041759-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nyksn4
title: Occurrence Download

description: A dataset containing 409 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Leontopodium campestre (Ledeb.) Hand.-Mazz."
 ]
}

 The dataset includes 409 records from 30 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041761-240321170329656/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.25486600
title: 附表16 与miRNA靶基因重合的公共数据差异表达基因GO富集分析

description: GO enrichment analysis of public data overlapped with miRNA target genes
DOI: 10.6084/m9.figshare.25486600.v2
title: 附表16 与miRNA靶基因重合的公共数据差异表达基因GO富集分析

description: GO enrichment analysis of public data overlapped with miRNA target genes
DOI: 10.15468/dl.xecdwy
title: Occurrence Download

description: A dataset containing 12 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Lagenantha gillettii (Botsch.) M.G.Gilbert & Friis"
 ]
}

 The dataset includes 12 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041762-240321170329656/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.25486600.v1
title: 附表14 与miRNA靶基因重合的公共数据差异表达基因GO富集分析

description: GO enrichment analysis of public data overlapped with miRNA target genes
DOI: 10.15468/dl.djj5hp
title: Occurrence Download

description: A dataset containing 78880753 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Occurrence evidence, Living Specimen, Specimen, Material citation, Material sample, Human Observation, Machine Observation, Observation)",
 "Geometry POLYGON((-96 -90,-90 -90,-90 90,-96 90,-96 -90))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Issue is Continent derived from coordinates",
 "OccurrenceStatus is Present",
 "Year 1942-2024"
 ]
}

 The dataset includes 78880753 records from 1693 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041696-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh3352086.08fu
title: SH3352086.08FU

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/sh3352087.08fu
title: SH3352087.08FU

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/sh3352088.08fu
title: SH3352088.08FU

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/sh3352089.08fu
title: SH3352089.08FU

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/sh3352090.08fu
title: SH3352090.08FU

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/sh3352091.08fu
title: SH3352091.08FU

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/sh3352092.08fu
title: SH3352092.08FU

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/sh3352093.08fu
title: SH3352093.08FU

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/sh3352094.08fu
title: SH3352094.08FU

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.