cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh1503751.08fu
title: SH1503751.08FU

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/sh1503752.08fu
title: SH1503752.08FU

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/sh2590592.08fu
title: SH2590592.08FU

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/sh2590593.08fu
title: SH2590593.08FU

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/sh2590594.08fu
title: SH2590594.08FU

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: 10.25549/one-c4-41412
title: George F., letters (1966/1969)

description: George F., letters (1966-1969)
DOI: 10.15156/bio/sh1503753.08fu
title: SH1503753.08FU

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/sh1503754.08fu
title: SH1503754.08FU

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/sh2590595.08fu
title: SH2590595.08FU

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/sh2590596.08fu
title: SH2590596.08FU

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: 10.15468/dl.4r5u58
title: Occurrence Download

description: A dataset containing 84 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Elaphandra patentipilis (S.F.Blake) Pruski & G.P.Méndez"
 ]
}

 The dataset includes 84 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0160118-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hnu3wy
title: Occurrence Download

description: A dataset containing 948 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Trachyrincus murrayi Günther, 1887"
 ]
}

 The dataset includes 948 records from 21 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034010-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.99n8sn
title: Occurrence Download

description: A dataset containing 276 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Marasmia trapezalis (Guenée, 1854)",
 "Year 1970-2024"
 ]
}

 The dataset includes 276 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0058475-231120084113126/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fqpycv
title: Occurrence Download

description: A dataset containing 56 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Census of calcareous nannofossil taxa expressed as percent of total number of individuals counted, ODP Site 119-744"
 ]
}

 The dataset includes 56 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010496-160623103540712/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pa737g
title: Occurrence Download

description: A dataset containing 13851966 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Apodiformes"
 ]
}

 The dataset includes 13851966 records from 1414 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0254310-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.789htg
title: Occurrence Download

description: A dataset containing 6334 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Acacia tetragonophylla F.Muell.",
 "HasCoordinate is true"
 ]
}

 The dataset includes 6334 records from 44 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004810-240229165702484/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.q9weem
title: Occurrence Download

description: A dataset containing 515 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((121.62085 25.40358,120.49585 25.46708,118.80835 23.56399,120.07397 21.53485,121.65601 21.7146,122.42944 24.99004,121.62085 25.40358))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Tessaratoma papillosa (Drury, 1770)"
 ]
}

 The dataset includes 515 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0281627-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xfuhm7
title: Occurrence Download

description: A dataset containing 13 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cypripedium macranthos Sw.",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 13 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007992-151016162008034/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wbq4g5
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Anisostachya ambositrensis Benoist"
 ]
}

 The dataset includes 4 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004861-240229165702484/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mv3dtu
title: Occurrence Download

description: A dataset containing 503734 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Abacarus hystrix (Nalepa, 1896), Abaeis nicippe (Cramer, 1779), Abarema sapindoides (A.Cunn. ex Sweet) Kosterm., Abbottina rivularis (Basilewsky, 1855), Abelia chinensis R.Br., Vesalea floribunda M.Martens & Galeotti, Abelia uniflora R.Br., Abelmoschus esculentus (L.) Moench, Abelmoschus manihot (L.) Medik., Abelmoschus moschatus (L.) Medik., Abgrallaspis cyanophylli (Signoret, 1869), Dynaspidiotus degeneratus (Leonardi, 1896), Abia fasciata (Linnaeus, 1758), Abies alba Mill., Abies amabilis Douglas ex J.Forbes, Abies balsamea (L.) Mill., Abies cephalonica Loudon, Abies concolor (Gordon) Lindl. ex Hildebr., Abies firma Siebold & Zucc., Abies fraseri (Pursh) Poir., Abies grandis (Douglas ex D.Don) Lindl., Abies homolepis Siebold & Zucc., Abies koreana E.H.Wilson, Abies lasiocarpa (Hook.) Nutt., Abies magnifica A.Murray bis, Abies mariesii Mast., Abies nordmanniana (Steven) Spach, Abies pindrow (Royle ex D.Don) Royle, Abies pinsapo Boiss., Abies procera Rehd., Abies religiosa (Kunth) Schltdl. & Cham., Abies sachalinensis (F.Schmidt) Mast., Abies sibirica Ledeb., Abies spectabilis (D.Don) Mirb., Abies veitchii Lindl., Ablattaria laevigata (Fabricius, 1775), Ablerus chionaspidis (Howard, 1914), Ablerus clisiocampae (Ashmead, 1894), Ablerus perspeciosus Girault, 1916, Abra segmentum (Récluz, 1843), Abramis brama (Linnaeus, 1758))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 503734 records from 1002 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0254322-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.as8uwe
title: Occurrence Download

description: A dataset containing 14374 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Brassica napus L.",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "Year is greater than or equal to 2000",
 "CoordinateUncertaintyInMeters is less than 500",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen, Specimen, Material sample, Material citation, Machine Observation)"
 ]
 }
 },
 {
 "not" : {
 "InstitutionCode" : [
 "is one of (iNaturalist)"
 ]
 }
 }
 ]
}

 The dataset includes 14374 records from 103 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022519-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.d9da93
title: Occurrence Download

description: A dataset listing the 2 species recorded in GBIF matching the query:
{
 "and" : [
 "Country is United States of America",
 "DatasetKey is iNaturalist Research-grade Observations",
 "Geometry POLYGON((-86.10731 29.87847,-80.37478 29.87847,-80.37478 35.12216,-86.10731 35.12216,-86.10731 29.87847))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Danaus plexippus"
 ]
}

 The dataset's 2 records were derived from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020061-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dtzfbq
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Tithonia rotundifolia",
 "Country is Bolivia (Plurinational State of)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 8 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020067-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/m2v7xzx7gj
title: Supplementary Material for Mendelian Randomization Studies on Actinic Keratosis

description: Supplementary Material for Mendelian Randomization Studies on Actinic Keratosis.
DOI: 10.17632/m2v7xzx7gj.1
title: Supplementary Material for Mendelian Randomization Studies on Actinic Keratosis

description: Supplementary Material for Mendelian Randomization Studies on Actinic Keratosis.
DOI: 10.17632/2tk6fpc4cp
title: LINF_260022600

description: D-alanyl-D-alanine carboxypeptidase-like protein; Leishmania infantum (strain JPCM5)
DOI: 10.17632/2tk6fpc4cp.1
title: LINF_260022600

description: D-alanyl-D-alanine carboxypeptidase-like protein; Leishmania infantum (strain JPCM5)
DOI: 10.17632/vtm9kgs2fm
title: LINF_260022700

description: Hypothetical protein - conserved; Leishmania infantum (strain JPCM5)
DOI: 10.17632/vtm9kgs2fm.1
title: LINF_260022700

description: Hypothetical protein - conserved; Leishmania infantum (strain JPCM5)
DOI: 10.15468/dl.sfxgtz
title: Occurrence Download

description: A dataset containing 10 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry MULTIPOLYGON(((-105.36511 20.95745,-105.40606 20.92827,-105.39401 20.91474,-105.38595 20.92261,-105.37298 20.91826,-105.35149 20.94012,-105.35306 20.94809,-105.36511 20.95745)))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Mammalia"
 ]
}

 The dataset includes 10 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020070-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/tsr3xs2krg
title: Code for Topological scale framework analysis of rs-fMRI networks of inhaled substance abuse

description: This dataset contains the full source code (and results) used in the study “Topological Scale Framework Analysis of rs-fMRI Networks of Inhaled Substance Abuse”. The aim of this research was to test the hypothesis that adolescents diagnosed with Inhaled Substance Abuse Disorder (ISAD) exhibit reduced structural complexity and robustness in their brain functional networks compared to healthy controls. To this end, we employed a topological scale framework (scale-space model) to extract multiscale algebraic descriptors from resting-state fMRI (rs-fMRI) correlation matrices.

The dataset includes three Python files: the functions module – implements the scale-space model, hypergraph construction, and descriptor computation; an analysis script – loads subject-specific correlation matrices, applies the scale-space framework, and computes descriptors across scales; a comparison script – performs statistical analysis of descriptors (MANOVA, permutation tests, and OLS regression) to evaluate group differences.

The correlation matrices used in the study are not included here due to data-sharing restrictions. However, they are publicly available from the dataset repository described in Mijangos et al. (2024), which must be downloaded separately. The present code is fully compatible with that dataset and allows complete reproduction of the reported results once the matrices are obtained. Our analyses demonstrated that ISAD subjects show increased network fragmentation, reduced incidence matrix rank, and overall lower mean vertex degree across scales. Furthermore, statistical testing confirmed diagnosis as the only significant explanatory factor, with 31 out of 48 descriptors strongly associated with ISAD. These findings support the hypothesis of reduced topological robustness in ISAD-affected brain networks and highlight the sensitivity of the scale-space model to scale-dependent degradation.

Researchers can reuse this dataset to apply the scale-space model to other rs-fMRI or neuroimaging datasets; extend the topological analysis framework to different networked data, such as social, biological, or computational systems; and reproduce or benchmark alternative topological descriptors against those used in this study.

The scripts are documented with comments and a README file describing dependencies and usage instructions.