cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh1130622.10fu
title: SH1130622.10FU

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/sh1130626.10fu
title: SH1130626.10FU

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/sh1130627.10fu
title: SH1130627.10FU

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/sh1130633.10fu
title: SH1130633.10FU

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/sh1130634.10fu
title: SH1130634.10FU

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/sh1130636.10fu
title: SH1130636.10FU

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/sh1130638.10fu
title: SH1130638.10FU

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.am3732
title: Occurrence Download

description: A dataset containing 167994 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Betula pubescens",
 "OccurrenceStatus is Present",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Human Observation, Observation, Specimen, Material sample)",
 "Year is greater than or equal to 1999",
 "Year is less than or equal to 2012"
 ]
}

 The dataset includes 167994 records from 540 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002642-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hgkf79
title: Occurrence Download

description: A dataset containing 83197 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "TaxonKey is Cynoglossum officinale L."
 ]
}

 The dataset includes 83197 records from 811 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019781-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4yy7ws
title: Occurrence Download

description: A dataset containing 3216 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Xylocopa appendiculata Smith, 1852",
 "HasGeospatialIssue is false",
 "HasCoordinate is true"
 ]
}

 The dataset includes 3216 records from 58 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019787-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15023119
title: Genome-wide Detection of Cytosine Methylations in Plant from Nanopore Data Using Deep Learning - Source Data

description: Source Data of Genome-wide Detection of Cytosine Methylations in Plant from Nanopore Data Using Deep Learning
DOI: 10.5281/zenodo.15023120
title: Genome-wide Detection of Cytosine Methylations in Plant from Nanopore Data Using Deep Learning - Source Data

description: Source Data of Genome-wide Detection of Cytosine Methylations in Plant from Nanopore Data Using Deep Learning
DOI: 10.5281/zenodo.15062213
title: Genome-wide Detection of Cytosine Methylations in Plant from Nanopore Data Using Deep Learning - Source Data

description: Source Data of Genome-wide Detection of Cytosine Methylations in Plant from Nanopore Data Using Deep Learning
DOI: 10.15468/dl.fth9v4
title: Occurrence Download

description: A dataset containing 7327 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Megachile rotundata (Fabricius, 1787)",
 "HasGeospatialIssue is false",
 "HasCoordinate is true"
 ]
}

 The dataset includes 7327 records from 137 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019790-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.11224881
title: Modifying the Abdul-Razzak & Ghan aerosol activation parameterization (version ARG2000) impacts simulated cloud radiative effects (shown in the UK Met Office Unified Model, version 13.0)

description:
DOI: 10.5281/zenodo.11224882
title: Improving the Abdul-Razzak & Ghan (2000) aerosol activation parameterization impacts simulated cloud radiative effects

description: Simulated data presented in manuscript with title above, generated with the Met Office Unified Model, and the cloud parcel model Pyrcel, together with observations from MODIS that are used in the model evaluation. 

The Pyrcel model can be downloaded from: https://github.com/darothen/pyrcel/tree/v1.3.2 and the MODIS dataset is available at: https://catalogue.ceda.ac.uk/uuid/cf97ccc802d348ec8a3b6f2995dfbbff, last access May 20, 2024.
DOI: 10.5281/zenodo.13112444
title: Improving the Abdul-Razzak & Ghan (2000) aerosol activation parameterization impacts simulated cloud radiative effects (shown in the Unified Model, version 13.0)

description:
DOI: 10.5281/zenodo.15062206
title: Modifying the Abdul-Razzak & Ghan aerosol activation parameterization (version ARG2000) impacts simulated cloud radiative effects (shown in the UK Met Office Unified Model, version 13.0)

description:
DOI: 10.6084/m9.figshare.28636925
title: <b>Forecasting Organizational Culture with the Denison Model: Evaluating Five Distinct Machine Learning Algorithms</b>

description: <b>Forecasting Organizational Culture with the Denison Model: Evaluating Five Distinct Machine Learning Algorithms</b>
DOI: 10.6084/m9.figshare.28636925.v1
title: <b>Forecasting Organizational Culture with the Denison Model: Evaluating Five Distinct Machine Learning Algorithms</b>

description: <b>Forecasting Organizational Culture with the Denison Model: Evaluating Five Distinct Machine Learning Algorithms</b>
DOI: 10.15468/dl.5r8spb
title: Occurrence Download

description: A dataset listing the 2 species recorded in GBIF matching the query:
{
 "DatasetKey" : [
 "is NMFS Turtle Tracking"
 ]
}

 The dataset's 2 records were derived from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019789-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.84nh7u
title: Occurrence Download

description: A dataset containing 838 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "CoordinateUncertaintyInMeters 0.0-10000.0",
 "StateProvince is California",
 "TaxonKey is Tamarix ramosissima Ledeb.",
 "Year 1990-2024"
 ]
}

 The dataset includes 838 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019794-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.n23pyk
title: Occurrence Download

description: A dataset containing 8134 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Megachile ericetorum Lepeletier, 1841",
 "HasGeospatialIssue is false",
 "HasCoordinate is true"
 ]
}

 The dataset includes 8134 records from 98 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019792-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3z82r8
title: Occurrence Download

description: A dataset containing 25531 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Agave americana L.",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Human Observation, Living Specimen, Occurrence evidence)"
 ]
}

 The dataset includes 25531 records from 178 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019795-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.z5jgws
title: Occurrence Download

description: A dataset containing 4666 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Osmia taurus Smith, 1873",
 "HasGeospatialIssue is false",
 "HasCoordinate is true"
 ]
}

 The dataset includes 4666 records from 31 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019796-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jrdcum
title: Occurrence Download

description: A dataset containing 135882 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "TaxonKey is Datura stramonium L."
 ]
}

 The dataset includes 135882 records from 1325 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019788-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.sztub2
title: Occurrence Download

description: A dataset containing 4421670 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Brazil",
 "OccurrenceStatus is Present",
 "BasisOfRecord is Specimen",
 "TaxonKey is Tracheophyta",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 4421670 records from 413 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002727-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4mcp6e
title: Occurrence Download

description: A dataset containing 163 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Digrammia hebetata (Hulst, 1881)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 163 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002752-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.q63vwr
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Eucoptus depressus T.V.Wollaston, 1873",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002751-250402121839773/datasets/export for details.
DOI: 10.15468/dl.mzd5g6
title: Occurrence Download

description: A dataset containing 34 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Locality is one of (Parque Estadual Serra Dourada, Reserva Biológica S, Parque Estadual Serra Dourada, Parque Estadual Serra Dourada.)",
 "TaxonKey is Plantae"
 ]
}

 The dataset includes 34 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002759-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.53tdqs
title: Occurrence Download

description: A dataset containing 69 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is North America",
 "Country is Mexico",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Platycladus orientalis (L.) Franco",
 "Year 1000-2021"
 ]
}

 The dataset includes 69 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002763-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5xyxjg
title: Occurrence Download

description: A dataset containing 24390 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is United States of America",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Procyon lotor (Linnaeus, 1758)",
 "Year 2010-2020"
 ]
}

 The dataset includes 24390 records from 33 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002757-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cde84p
title: Occurrence Download

description: A dataset containing 90 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "Issue is Geodetic datum assumed WGS84",
 "TaxonKey is Cynomys mexicanus Merriam, 1892"
 ]
}

 The dataset includes 90 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002765-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dfbayq
title: Occurrence Download

description: A dataset containing 692962 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is EOD – eBird Observation Dataset",
 "Geometry POLYGON((-72.3276 46.22237,-70.28116 46.13837,-70.2522 47.47857,-72.39717 47.47857,-72.3276 46.22237))",
 "HasGeospatialIssue is false",
 "Year 2023-2025"
 ]
}

 The dataset includes 692962 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002730-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14969112
title: Digital brain models with microstructure-derived Larmor frequency shifts

description: This dataset adds microstructure-derived frequency shifts within the white matter to the 2019 QSM Challenge model. The dataset contains two versions: one with, and one without microstructure effects.

These extended models are published along the following publication:

Jochmann et al. (2025) Quantitative susceptibility mapping in magnetically inhomogeneous tissues, Magnetic Resonance in Medicine. https://doi.org/10.1002/mrm.30537.

The design of the original model is described in the following publication:

Marques et al. (2021) A Realistic in Silico Head Phantom for MRI Data Simulation and Evaluation of Susceptibility Mapping Procedures. Magnetic Resonance in Medicine, 86 (1), 526–542. https://doi.org/10.1002/mrm.28716.

Please cite both papers when using these models. Thank you.



Acknowledgments and Funding Sources
The creation of this dataset was partially supported by the Free State of Thuringia grant ThiMEDOP (2018 IZN 0004) with funds of the European Union (EFRE), the German Federal Ministry of Education and Research (BMBF) grant AVATAR (16KISA024, funded by the European Union - NextGenerationEU), the National Institute of Neurological Disorders and Stroke of the National Institutes of Health under Award Number R01NS114227 and the National Center for Advancing Translational Sciences of the National Institutes of Health under Award Number UL1TR001412, the German Academic Exchange Service (DAAD PPP 57599925), and an ISMRM Research Exchange Grant awarded to T.J. The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health.