cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.12520760
title: CSET Private-Sector AI Indicators

description: The Private-Sector AI Indicators dataset includes a diverse range of indicators of AI-related activity for hundreds of companies worldwide, from startups to multinationals. The dataset uses original metadata, models, and methods developed by ETO and CSET to transform information from a wide variety of data sources into AI-related research, patenting, and hiring metrics for every company covered in PARAT. For more information, see our documentation.
DOI: 10.5281/zenodo.12775336
title: CSET Private-Sector AI Indicators

description: The Private-Sector AI Indicators dataset includes a diverse range of indicators of AI-related activity for hundreds of companies worldwide, from startups to multinationals. The dataset uses original metadata, models, and methods developed by ETO and CSET to transform information from a wide variety of data sources into AI-related research, patenting, and hiring metrics for every company covered in PARAT. For more information, see our documentation.
DOI: 10.5281/zenodo.14518311
title: CSET Private-Sector AI Indicators

description: The Private-Sector AI Indicators dataset includes a diverse range of indicators of AI-related activity for hundreds of companies worldwide, from startups to multinationals. The dataset uses original metadata, models, and methods developed by ETO and CSET to transform information from a wide variety of data sources into AI-related research, patenting, and hiring metrics for every company covered in PARAT. For more information, see our documentation.

Research subject classifications are based on work supported in part by the Alfred P. Sloan Foundation under Grant No. G-2023-22358.
DOI: 10.15468/dl.3j34q8
title: Occurrence Download

description: A dataset containing 143670 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "TaxonKey is one of (Plethodon cinereus (Green, 1818))"
 ]
}

 The dataset includes 143670 records from 64 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0040625-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vvz7pa
title: Occurrence Download

description: A dataset containing 394862 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Prunus padus L."
 ]
}

 The dataset includes 394862 records from 1036 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0040626-241126133413365/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.30057966
title: Invariant Measures of Disagreement with Stochastic Dominance

description: Stochastic dominance has not been employed too often in practice due to its important limitations. To increase its versatility, the concept has recently been adapted by introducing various indices that measure the degree to which one probability distribution stochastically dominates another. In this article, starting from the fundamentals and using very simple examples, we present and discuss some of these indices when one intends to maintain invariance through increasing functions. This naturally leads to consideration of the appealing common representation, θ(F,G)=P(X&gt;Y), where (X,Y) is a random vector with marginal distributions <i>F</i> and <i>G</i>. The indices considered here arise from different dependencies between X and Y. This includes the case of independent marginals, as well as other indices related to a contamination model or to a joint quantile representation. We emphasize the complementary role of some of these indices, which, in addition to measuring disagreement with respect to stochastic dominance, enable us to describe the maximum possible difference in the status of a value x∈R under <i>F</i> or <i>G</i>. We apply these indices to simulated and real-world datasets, exploring their practical advantages and limitations. The tour includes lesser-known facets of well-known statistics such as Mann-Whitney, one-tailed Kolmogorov-Smirnov and Galton’s rank statistics, even providing additional theory for the latter.
DOI: 10.6084/m9.figshare.30057966.v2
title: Invariant Measures of Disagreement with Stochastic Dominance

description: Stochastic dominance has not been employed too often in practice due to its important limitations. To increase its versatility, the concept has recently been adapted by introducing various indices that measure the degree to which one probability distribution stochastically dominates another. In this article, starting from the fundamentals and using very simple examples, we present and discuss some of these indices when one intends to maintain invariance through increasing functions. This naturally leads to consideration of the appealing common representation, θ(F,G)=P(X&gt;Y), where (X,Y) is a random vector with marginal distributions <i>F</i> and <i>G</i>. The indices considered here arise from different dependencies between X and Y. This includes the case of independent marginals, as well as other indices related to a contamination model or to a joint quantile representation. We emphasize the complementary role of some of these indices, which, in addition to measuring disagreement with respect to stochastic dominance, enable us to describe the maximum possible difference in the status of a value x∈R under <i>F</i> or <i>G</i>. We apply these indices to simulated and real-world datasets, exploring their practical advantages and limitations. The tour includes lesser-known facets of well-known statistics such as Mann-Whitney, one-tailed Kolmogorov-Smirnov and Galton’s rank statistics, even providing additional theory for the latter.
DOI: 10.15468/dl.04u5nt
title: Occurrence Download

description: A dataset containing 31 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Melaleuca cornucopiae Byrnes",
 {
 "or" : [
 "BasisOfRecord is Human Observation",
 "BasisOfRecord is Observation"
 ]
 },
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 31 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0045879-191105090559680/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kgjrpf
title: Occurrence Download

description: A dataset containing 33353 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Duttaphrynus himalayanus (Günther, 1864), Duttaphrynus melanostictus (Schneider, 1799), Euphlyctis cyanophlyctis (Schneider, 1799), Hoplobatrachus crassus (Jerdon, 1853), Hoplobatrachus tigerinus (Daudin, 1802), Nanorana blanfordii (Boulenger, 1882), Nanorana conaensis (Fei & Huang, 1981), Nanorana liebigii (Günther, 1860), Nanorana parkeri (Stejneger, 1927), Nanorana pleskei Günther, 1896, Ombrana sikimensis (Jerdon, 1870), Hyla annectans (Jerdon, 1870), Leptobrachium bompu Sondhi & Ohler, 2011, Scutiger bhutanensis Delorme & Dubois, 2001, Scutiger boulengeri (Bedriaga, 1898), Scutiger sikimmensis (Blyth, 1855), Megophrys major Mahony, Kamei & Teeling, 2018, Megophrys minor Stejneger, 1926, Megophrys monticola (Günther, 1864), Amolops formosus (Günther, 1876), Amolops gerbillus (Annandale, 1912), Amolops himalayanus (Boulenger, 1888), Amolops mantzorum (David, 1872), Amolops marmoratus (Blyth, 1855), Amolops monticola (Anderson, 1871), Clinotarsus alticola (Boulenger, 1882), Humerana humeralis (Boulenger, 1887), Hylarana tytleri Theobald, 1868, Sylvirana guentheri (Boulenger, 1882), Rhacophorus bipunctatus Ahl, 1927, Rhacophorus tuberculatus (Anderson, 1871), Tylototriton verrucosus Anderson, 1871, Ichthyophis sikkimensis Taylor, 1960)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 33353 records from 53 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0155738-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.thjf14
title: Occurrence Download

description: A dataset containing 677 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Protea cynaroides (L.) L.",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 677 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016886-190415153152247/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cujrmt
title: Occurrence Download

description: A dataset containing 626 species occurrences available in GBIF matching the query:
{
 "or" : [
 "TaxonKey is Luma repanda (O.Berg) Herter",
 "TaxonKey is Eugenia ypanemensis O.Berg",
 "TaxonKey is Eugenia oxyoentophylla Kiaersk.",
 "TaxonKey is Eugenia repanda O.Berg"
 ]
}

 The dataset includes 626 records from 60 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0204432-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yk2thk
title: Occurrence Download

description: A dataset containing 80 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "Continent is North America",
 "Continent is South America"
 ]
 },
 "Country is Mexico",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Zea mays L."
 ]
}

 The dataset includes 80 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0171960-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cshgud
title: Occurrence Download

description: A dataset containing 73 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pseudotsuga forrestii Craib"
 ]
}

 The dataset includes 73 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014822-200127171203522/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.aueiqc
title: Occurrence Download

description: A dataset containing 142 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "TaxonKey is Polyxenus fasciculatus (Say, 1821)",
 "TaxonKey is Pomacanthus annularis (Bloch, 1787)"
 ]
 },
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 142 records from 22 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016887-180508205500799/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jsrurs
title: Occurrence Download

description: A dataset containing 54246 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Fish Collection NRM"
 ]
}

 The dataset includes 54246 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0180130-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cwr3j7
title: Occurrence Download

description: A dataset containing 369808 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Coereba flaveola (Linnaeus, 1758)"
 ]
}

 The dataset includes 369808 records from 290 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0192564-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.razfjp
title: Occurrence Download

description: A dataset containing 23886 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-69.16992 -67.58789,-30.49805 -67.76367,-20.83008 -40.51758,-16.08398 -8.34961,-31.37695 10.45898,-52.29492 29.44336,-72.33398 35.5957,-83.75977 34.7168,-97.29492 29.9707,-100.63477 24.52148,-96.24023 17.31445,-89.73633 16.78711,-84.46289 12.56836,-80.94727 8.70117,-69.16992 10.45898,-62.49023 6.41602,-57.39258 5.36133,-51.24023 -0.26367,-41.74805 -6.06445,-37.35352 -6.76758,-40.51758 -19.07227,-47.02148 -22.23633,-50.88867 -27.68555,-57.39258 -33.66211,-63.54492 -36.47461,-67.58789 -42.09961,-69.87305 -49.83398,-70.40039 -59.85352,-69.16992 -67.58789))",
 "TaxonKey is Ascidiacea"
 ]
}

 The dataset includes 23886 records from 106 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006527-210819072339941/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kiamtm
title: Occurrence Download

description: A dataset containing 696 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "BasisOfRecord is Specimen",
 "BasisOfRecord is Literature Occurrence"
 ]
 },
 "HasCoordinate is true",
 "TaxonKey is Amazilia yucatanensis (S.Cabot, 1845)",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 696 records from 45 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016887-190415153152247/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ky2exc
title: Occurrence Download

description: A dataset containing 43446 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is South America",
 "Country is Colombia",
 "HasCoordinate is false",
 "TaxonKey is Anura"
 ]
}

 The dataset includes 43446 records from 52 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0204720-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.uj3b4j
title: Occurrence Download

description: A dataset containing 1307 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Ilex cornuta Lindl. & Paxton"
 ]
}

 The dataset includes 1307 records from 60 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003917-210819072339941/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gmn7aj
title: Occurrence Download

description: A dataset listing the 3786 species recorded in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "Country is French Polynesia",
 "Country is French Guiana",
 "Country is French Southern Territories",
 "Country is Guadeloupe",
 "Country is Martinique",
 "Country is New Caledonia",
 "Country is Mayotte",
 "Country is Réunion"
 ]
 },
 "PublishingOrg is ab733144-7043-4e88-bd4f-fca7bf858880"
 ]
}

 The dataset's 3786 records were derived from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007181-210819072339941/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qqk24k
title: Occurrence Download

description: A dataset containing 952 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Anoplophora glabripennis (Motschulsky, 1854)"
 ]
}

 The dataset includes 952 records from 22 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0204433-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.33ercf
title: Occurrence Download

description: A dataset containing 1088 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "Country is China",
 "Country is Chinese Taipei"
 ]
 },
 "TaxonKey is Alsophila spinulosa (Wall. ex Hook.) R.M.Tryon"
 ]
}

 The dataset includes 1088 records from 40 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006567-210819072339941/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.oesliv
title: Occurrence Download

description: A dataset containing 589 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Procnias albus (Hermann, 1783)"
 ]
}

 The dataset includes 589 records from 34 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016889-180131172636756/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nxes4t
title: Occurrence Download

description: A dataset containing 715700 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 {
 "or" : [
 "TaxonKey is Bidens tripartita L.",
 "TaxonKey is Bidens pilosa L.",
 "TaxonKey is Bidens laevis (L.) Britton, Sterns & Poggenb.",
 "TaxonKey is Bidens frondosa L.",
 "TaxonKey is Bidens cernua L.",
 "TaxonKey is Artemisia vulgaris L."
 ]
 }
 ]
}

 The dataset includes 715700 records from 1470 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0208441-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh1154634.10fu
title: SH1154634.10FU

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/sh1154635.10fu
title: SH1154635.10FU

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/sh1154636.10fu
title: SH1154636.10FU

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/sh1154638.10fu
title: SH1154638.10FU

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/sh1154639.10fu
title: SH1154639.10FU

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.