cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh0209540.10fu
title: SH0209540.10FU

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/sh0209541.10fu
title: SH0209541.10FU

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/sh0209542.10fu
title: SH0209542.10FU

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/sh0209543.10fu
title: SH0209543.10FU

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/sh0209544.10fu
title: SH0209544.10FU

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/sh0209545.10fu
title: SH0209545.10FU

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/sh0209546.10fu
title: SH0209546.10FU

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/sh0209547.10fu
title: SH0209547.10FU

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/sh0209548.10fu
title: SH0209548.10FU

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: 10.15468/dl.c3vtkq
title: Occurrence Download

description: A dataset containing 146338 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Magnoliopsida)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1980",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "Geometry POLYGON((-150 60,-120 60,-120 90,-150 90,-150 60))"
 ]
}

 The dataset includes 146338 records from 147 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0052597-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.26023/edxy-4vd6-w00w
title: MDB: Murrumbidgee Surface Meteorology and Radiation Data Set. Version 1.0

description: This data set contains the Coordinated Energy and Water Cycle Observation Project (CEOP) Enhanced Observing Period 3 and Enhanced Observing Period 4 (EOP-3 and EOP-4) Murray-Darling Basin (MDB) Murrumbidgee 30 Minute Surface Meteorology and Radiation Data Set. This data set contains 30 minute data from the 10 stations in the Murrumbidgee river basin for the CEOP EOP-3 and EOP-4 time period. This data set contains the entire EOP-3 and EOP-4 time period (1 October 2002 through 31 December 2004) and the updated data 1 January 2005 through 30 November 2007 data. Prior to December 2006 the Cootmundra stations wind data came from hand held instrumentation at 2m height. Startin in December 2006 the wind data come from a 10 m wind sensor on a Young AWS located about 35 km away. This data set contains both ASCII data and netCDF data. The ASCII data file covers the entire time period for all stations. The netCDF data file covers the entire time period with one netCDF file for each station.
DOI: 10.60893/figshare.pof.30075556
title: Supporting Information

description: Supporting Information for MRT-Chemical-potential multiphase model.
DOI: 10.60893/figshare.pof.30075556.v1
title: Supporting Information

description: Supporting Information for MRT-Chemical-potential multiphase model.
DOI: 10.15468/dl.ufecps
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Lamium orientale",
 "Country is France",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0052623-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.60893/figshare.pof.30132061
title: Supplement Number 1

description: Supplementary material for Table S1
DOI: 10.60893/figshare.pof.30132061.v1
title: Supplement Number 1

description: Supplementary material for Table S1
DOI: 10.6084/m9.figshare.30283300
title: Analysis of Thematic Coding Results Based on Interviews in the Research "Gender and Narrative Writing in Elementary Schools

description: This instrument was used to analyze thematic coding results based on interviews conducted in a study on the influence of gender on narrative writing in elementary schools, with a focus on inclusive education. This study aims to explore how gender influences the way students write stories or narratives, as well as how gender perceptions and roles emerge in the writing process among elementary school students.
DOI: 10.6084/m9.figshare.30283300.v1
title: Analysis of Thematic Coding Results Based on Interviews in the Research "Gender and Narrative Writing in Elementary Schools

description: This instrument was used to analyze thematic coding results based on interviews conducted in a study on the influence of gender on narrative writing in elementary schools, with a focus on inclusive education. This study aims to explore how gender influences the way students write stories or narratives, as well as how gender perceptions and roles emerge in the writing process among elementary school students.
DOI: 10.15468/dl.ma6btr
title: Occurrence Download

description: A dataset containing 965 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Lissorhoptrus oryzophilus"
 ]
}

 The dataset includes 965 records from 51 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0052625-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qaagsb
title: Occurrence Download

description: A dataset containing 65 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Castanopsis hainanensis)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 65 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0052624-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vhe9g9
title: Occurrence Download

description: A dataset containing 743 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Magnoliopsida)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1980",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "Geometry POLYGON((-30 -30,0 -30,0 0,-30 0,-30 -30))"
 ]
}

 The dataset includes 743 records from 48 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0052626-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.x5px7c
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Marrubium alysson",
 "Country is France",
 "HasCoordinate is true"
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0052628-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.v6urza
title: Occurrence Download

description: A dataset containing 373 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Castanopsis jucunda)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 373 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0052629-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.26023/nr4y-31eq-fa13
title: MDB: Murrumbidgee Soil Temperature and Soil Moisture Data Set. Version 1.0

description: This dataset contains the Coordinated Energy and Water Cycle Observation Project (CEOP) Enhanced Observing Period 3 and Enhanced Observing Period 4 (EOP-3 and EOP-4) Murray-Darling Basin (MDB) Murrumbidgee Soil Temperature and Soil Moisture Data Set.. This dataset comtains data from the Murrumbidgee river basin for the entire CEOP EOP-3 and EOP-4 time period (1 October 2002 through 31 December 2004) continuing through 31 May 2008. This data set contains both ASCII data and netCDF data. The ASCII data file covers the entire time period for all stations. The netCDF data file covers the entire time period with one netCDF file for each station.
DOI: 10.15468/dl.eqpufv
title: Occurrence Download

description: A dataset containing 2920 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Country is Mexico",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Kinosternon integrum"
 ]
}

 The dataset includes 2920 records from 52 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0052631-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.caer3g
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Marrubium cuneatum",
 "Country is France",
 "HasCoordinate is true"
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0052632-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.32t5z9
title: Occurrence Download

description: A dataset containing 203237 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Magnoliopsida)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1980",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "Geometry POLYGON((-30 60,0 60,0 90,-30 90,-30 60))"
 ]
}

 The dataset includes 203237 records from 89 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0052606-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.g75q86
title: Occurrence Download

description: A dataset containing 393 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Castanopsis kawakamii)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 393 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0052633-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mjhfvq
title: Occurrence Download

description: A dataset containing 9327140 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Magnoliopsida)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1980",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "Geometry POLYGON((0 60,30 60,30 90,0 90,0 60))"
 ]
}

 The dataset includes 9327140 records from 327 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0052613-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vghdar
title: Occurrence Download

description: A dataset containing 61 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Country is Mexico",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Chrysina adelaida"
 ]
}

 The dataset includes 61 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0052634-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.26023/5t00-b5yh-rk09
title: GAPP: USGS SGP Streamflow Data Set. Version 1.0

description: The United States Geological Survey (USGS) Daily Stream Flow Dataset is one of various datasets provided for the Coordinated Energy and Water Cycle Observation Project (CEOP). This dataset contains stream flow data from approximately 643 USGS stations in Kansas and Oklahoma for the three Enhanced Observing Periods (EOP-1, EOP-3, and EOP-4) in the CEOP project. The Water Years covered in this dataset contain data from 1 October 2000 through 30 September 2005. No additional quality control was performed by the National Center for Atmospheric Research/Earth Observing Laboratory (NCAR/EOL).
DOI: 10.15468/dl.gqjv99
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Marrubium incanum",
 "Country is France",
 "HasCoordinate is true"
 ]
}

 The dataset includes 2 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0052636-250920141307145/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.30283372
title: Move Yourself—Physical Exercise for Older Adults with Alzheimer’s Disease

description: This dataset derives from a non-randomized controlled trial with pre–post measurements that investigated the effects of a multimodal physical exercise program on older adults with Alzheimer’s disease (AD). The study was conducted in Uberaba, Minas Gerais, Brazil, and initially screened 50 community-dwelling participants diagnosed with AD by a neurologist. After applying inclusion and exclusion criteria, 23 participants were included and distributed across three groups: an exercise group with AD (n = 7), an AD control group (n = 8), and a cognitively healthy control group (n = 8). The intervention group participated in the university extension project “Move Yourself—Physical Exercise for Older Adults with Alzheimer’s Disease.” Cognitive, functional, and biochemical outcomes (BDNF and IL-2) were assessed before and after the intervention. All evaluations were conducted by trained assessors blinded to group allocation to ensure measurement reliability.