cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh0181347.10fu
title: SH0181347.10FU

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/sh0181348.10fu
title: SH0181348.10FU

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/sh0181349.10fu
title: SH0181349.10FU

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/sh0181350.10fu
title: SH0181350.10FU

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/sh0181351.10fu
title: SH0181351.10FU

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/sh0181352.10fu
title: SH0181352.10FU

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/sh0181353.10fu
title: SH0181353.10FU

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/sh0181354.10fu
title: SH0181354.10FU

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/sh0181355.10fu
title: SH0181355.10FU

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: 10.25574/29972
title: Chandra X-ray Observatory ObsId 29972

description: SMBH Growth in Local Low-Mass Mergers
DOI: 10.15468/dl.z6p6bk
title: Occurrence Download

description: A dataset containing 117 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Luehea candida (DC.) Mart.)",
 "BasisOfRecord is one of (Human Observation, Observation, Living Specimen)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "Continent is North America"
 ]
}

 The dataset includes 117 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016467-250127130748423/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.28355237
title: Freedom of information Decision for Psilocybin and MDMA Special Access-B Approvals in Australia from 2018 to 2022

description: This document is the <b>official notice of decision</b> from the <b>Therapeutic Goods Administration (TGA), Australian Government Department of Health and Aged Care</b>, regarding <b>Freedom of Information (FOI) request 4104</b>. The FOI request provides <b>historical regulatory data</b> on all <b>Special Access Scheme-B (SAS-B) applications</b> for <b>Psilocybin and MDMA</b> submitted between <b>January 1, 2018, and November 21, 2022</b>.The document details:The <b>number of applications lodged</b> under SAS-B for psilocybin and MDMA.The <b>outcomes of these applications</b>, including approvals, rejections, and pending cases.The <b>regulatory context</b> in which these applications were assessed.This FOI release is a <b>significant regulatory record</b>, offering <b>transparency into the TGA’s decision-making process</b> for psychedelic substances before their rescheduling in <b>July 2023</b>. It serves as a <b>key administrative law document</b> in understanding the evolution of psychedelic access in Australia and was one of the <b>main legal bases cited in the rescheduling process.</b>This dataset is a valuable resource for <b>researchers, policymakers, and legal professionals</b> examining the development of psychedelic medicine regulation in Australia.
DOI: 10.15468/dl.tb2pzn
title: Occurrence Download

description: A dataset containing 1023 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Keteleeria davidiana (Bertrand) Beissn., Keteleeria evelyniana Mast., Keteleeria fortunei (A.Murray bis) Carrière)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 1023 records from 46 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016468-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.j67dtq
title: Occurrence Download

description: A dataset containing 36 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Luehea seemannii Planch. & Triana)",
 "BasisOfRecord is one of (Human Observation, Observation, Living Specimen)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "Continent is North America"
 ]
}

 The dataset includes 36 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016469-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34740/kaggle/dsv/10673087
title: Balochi Language to English Translation Dataset
DOI: 10.25574/30765
title: Chandra X-ray Observatory ObsId 30765

description: ULX Science with Nearby Galaxies
DOI: 10.15468/dl.ykvq4k
title: Occurrence Download

description: A dataset containing 54 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Ecuador",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "PublishingOrg is one of (90fd6680-349f-11d8-aa2d-b8a03c50a862, 33d232b5-5cc2-4521-8bd6-121c5bb41c32, ef807e08-c954-487f-9e70-3cc75f173812, 5184e024-2899-4635-884b-c9d769e72cdd, 6ba9a8cc-513a-4a51-bf93-6f5de8040a96, 8d861745-d64d-419e-a9ea-251f56a631a7, d0e01e0c-7e8c-49aa-aeed-15fab7dfee46)",
 "TaxonKey is Ruta graveolens L."
 ]
}

 The dataset includes 54 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016470-250127130748423/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.28355234
title: lymph_all.rds

description: Seurat file of lymphedema snRNA-seq for reviewer use
DOI: 10.6084/m9.figshare.28355234.v1
title: lymph_all.rds

description: Seurat file of lymphedema snRNA-seq for reviewer use
DOI: 10.15468/dl.tjb4h9
title: Occurrence Download

description: A dataset containing 1986 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Athrotaxis cupressoides D.Don, Athrotaxis selaginoides D.Don)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 1986 records from 44 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016471-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vezj63
title: Occurrence Download

description: A dataset containing 42 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Luehea speciosa Willd.)",
 "BasisOfRecord is one of (Human Observation, Observation, Living Specimen)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "Continent is North America"
 ]
}

 The dataset includes 42 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016472-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dzye6k
title: Occurrence Download

description: A dataset containing 12219 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Malvaviscus arboreus Cav.)",
 "BasisOfRecord is one of (Human Observation, Observation, Living Specimen)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "Continent is North America"
 ]
}

 The dataset includes 12219 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016474-250127130748423/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.12482345.v15
title: Arsenic, Bacteria, Copper, Lead, Nitrate, Sulfate, Chloride & Total Hardness Data by Section, Town-Range and/or County, Center for Watershed Science and Education, Univ of Wisconsin-Stevens Point/Univ of Wisconsin-Madison Division of Extension, Stevens Point, WI

description: Arsenic, Bacteria, Copper, Lead, Nitrate, Sulfate, Chloride and Total Hardness data for private wells collected in the Wisconsin area. The data provides the average of nitrate(mg/L), chloride (mg/L), total hardness (mg/L) per Section, Town-Range and/or County in the state of Wisconsin. Center for Watershed Science and Education, Univ of Wisconsin-Stevens Point/Univ of Wisconsin-Madison Division of Extension, Stevens Point, WI.
DOI: 10.15468/dl.ayxvxx
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Stellaria miahuatlana B.L.Turner"
 ]
}

 The dataset includes 2 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016475-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.y5857b
title: Occurrence Download

description: A dataset containing 712903 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Achnatherum hymenoides (Roem. & Schult.) Barkworth, Apis mellifera Linnaeus, 1758, Aquilegia coerulea James, Ariolimax columbianus (A.Gould, 1851), Berberis aquifolium Pursh, Boletus edulis Bull., Bouteloua gracilis (Kunth) Lag. ex Griffiths, Calochortus nuttallii Torr., Cantharellus californicus D.Arora & Dunham, Cantharellus formosus Corner, Eschscholzia californica Cham., Lewisia rediviva Pursh, Myosotis alpestris F.W.Schmidt, Nassella pulchra (Hitchc.) Barkworth, Pepsis thisbe Lucas, 1895, Philadelphus lewisii Pursh, Pseudoroegneria spicata (Pursh) Á.Löve, Yucca glauca Nutt., Oncorhynchus tshawytscha (Walbaum, 1792), Oncorhynchus apache (Miller, 1972), Oncorhynchus mykiss (Walbaum, 1792), Oncorhynchus clarkii (Richardson, 1836))",
 "Country is one of (United States of America, Canada)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 712903 records from 461 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016454-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hv7z7c
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Melochia corymbosa (Moc. & Sessé ex DC.) Hemsl.)",
 "BasisOfRecord is one of (Human Observation, Observation, Living Specimen)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "Continent is North America"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016476-250127130748423/datasets/export for details.
DOI: 10.15468/dl.ay5ehu
title: Occurrence Download

description: A dataset containing 52 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((99.08956 25.88626,101.8947 26.18172,103.27669 27.45037,103.26446 31.75143,99.44193 31.4422,98.47072 29.91104,99.08956 25.88626))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Rhododendron complexum Balf.fil. & W.W.Sm."
 ]
}

 The dataset includes 52 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016477-250127130748423/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.25323131
title: Is the Association Between Alcohol Consumption and Mental Well-Being in University Students Linear, Curvilinear or Absent?

description: <i>Background</i>: Both alcohol consumption and mental well-being problems have been found to be prevalent in higher educated students and often have severe consequences. However, previous findings of the association between these constructs are mixed, possibly because often linear models are fitted, while some theories suggest a curvilinear association between the two concepts. <i>Objectives</i>: To clarify previously mixed findings, the current study compared curvilinear and linear models for the relationship between alcohol consumption and mental well-being in university students. Because of potential gender differences in this relationship, these models were explored for females and males separately. Data from the first cross-sectional online survey wave of the Healthy Student Life project including 2,631 female and 998 male students was used. The Alcohol Use Disorders Identification Test-consumption was used to measure alcohol consumption. Mental well-being was assessed by six sub-concepts (i.e., depressive symptoms, anxiety, stress, life satisfaction, happiness, and self-rated mental health). <i>Results</i>: For females both linear (for anxiety, life satisfaction, and self-rated mental health) and curvilinear (for depression, stress, and happiness) associations were found, while for males no support for either curvilinear or linear models was found. <i>Conclusions</i>: Results should be interpreted with caution due to the small effect sizes in the relationships for females but may suggest that testing the curvilinear association between alcohol consumption and mental well-being is an important future endeavor.