cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh0090265.10fu
title: SH0090265.10FU

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: 10.5281/zenodo.17350210
title: Dataset for CellHermes "Language is all omics needs: Unifying single-cell omics through language with CellHermes"
DOI: 10.13145/bacdive22952.20251217.10
title: Alkalibacterium gilvum Ishikawa et al. 2013

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive22953.20241212.9.2
title: Alkalibacterium gilvum Ishikawa et al. 2013

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.15156/bio/sh0090266.10fu
title: SH0090266.10FU

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: 10.5281/zenodo.17350209
title: Dataset for CellHermes "Language is all omics needs: Unifying single-cell omics through language with CellHermes"
DOI: 10.13145/bacdive22953.20251217.10
title: Alkalibacterium gilvum Ishikawa et al. 2013

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive22954.20241212.9.2
title: Alkalibacterium gilvum Ishikawa et al. 2013

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive22954.20251217.10
title: Alkalibacterium gilvum Ishikawa et al. 2013

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.15156/bio/sh0090267.10fu
title: SH0090267.10FU

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: 10.13145/bacdive22955.20250331.9.3
title: Cellulomonas massiliensis Lagier et al. 2015 emend. Nouioui et al. 2018

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive22955.20251217.10
title: Cellulomonas massiliensis Lagier et al. 2015 emend. Nouioui et al. 2018

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.15156/bio/sh0090268.10fu
title: SH0090268.10FU

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: 10.13145/bacdive22956.20241212.9.2
title: Paraoerskovia sediminicola Hamada et al. 2013

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive22956.20251217.10
title: Paraoerskovia sediminicola Hamada et al. 2013

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.15156/bio/sh0090269.10fu
title: SH0090269.10FU

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: 10.13145/bacdive22957.20250331.9.3
title: Chlamydia abortus (Everett et al. 1999) Sachse et al. 2015

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive22957.20251217.10
title: Chlamydia abortus (Everett et al. 1999) Sachse et al. 2015

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.15156/bio/sh0090270.10fu
title: SH0090270.10FU

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: 10.13145/bacdive22958.20241212.9.2
title: Chlamydia felis (Everett et al. 1999) Sachse et al. 2015

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive22958.20251217.10
title: Chlamydia felis (Everett et al. 1999) Sachse et al. 2015

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.15156/bio/sh0090271.10fu
title: SH0090271.10FU

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: 10.6084/m9.figshare.28600202
title: Supplementary Table ST1 Table of Primers

description: Supplementary Table ST1 Table of Primers
DOI: 10.5281/zenodo.15029843
title: Datos_simulados_corelation_analysis

description: Este dataset fue creado a partir de un ejercicio de simulación de datos para un ejercicio en el cual se lleva a cabo un análisis de correlación entre el número de trasplantes y las visualizaciones de una serie de Netflix relacionada con el tema de trasplantes. La base tiene las variables ID, año, mes, número de trasplantes y número de visualizaciones de la serie.
DOI: 10.5281/zenodo.15029844
title: Datos_simulados_corelation_analysis

description: Este dataset fue creado a partir de un ejercicio de simulación de datos para un ejercicio en el cual se lleva a cabo un análisis de correlación entre el número de trasplantes y las visualizaciones de una serie de Netflix relacionada con el tema de trasplantes. La base tiene las variables ID, año, mes, número de trasplantes y número de visualizaciones de la serie.
DOI: 10.15468/dl.bgnyb7
title: Occurrence Download

description: A dataset containing 4770 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Oncopsis flavicollis (Linnaeus, 1761)",
 "HasGeospatialIssue is false",
 "HasCoordinate is true"
 ]
}

 The dataset includes 4770 records from 108 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009544-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5x8zr4
title: Occurrence Download

description: A dataset containing 14 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Onthophagus bonasus",
 "HasGeospatialIssue is false",
 "HasCoordinate is true"
 ]
}

 The dataset includes 14 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009545-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wgktpf
title: Occurrence Download

description: A dataset containing 9383 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Colección de Reptiles del Instituto de Investigación de Recursos Biológicos Alexander von Humboldt (IAvH-R)"
 ]
}

 The dataset includes 9383 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009546-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gtcefw
title: Occurrence Download

description: A dataset containing 116 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Oncopeltus aulicus (Fabricius, 1775)",
 "HasGeospatialIssue is false",
 "HasCoordinate is true"
 ]
}

 The dataset includes 116 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009547-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.j9tsfp
title: Occurrence Download

description: A dataset containing 37 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is SEN",
 "TaxonKey is Eidolon helvum (Kerr, 1792)"
 ]
}

 The dataset includes 37 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009548-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15029881
title: Code and data for the paper "Density contrast reversal reduces deep ventilation and carbon sequestration in the Arctic Ocean"
DOI: 10.5281/zenodo.15029882
title: Code and data for the paper "Density contrast reversal reduces deep ventilation and carbon sequestration in the Arctic Ocean"
DOI: 10.15468/dl.vge8x3
title: Occurrence Download

description: A dataset containing 90 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Incilius cristatus (Wiegmann, 1833)",
 "Year 1950-2025"
 ]
}

 The dataset includes 90 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009550-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14211069
title: USCMed Dataset - Rat Ultrasonic Vocalizations

description: The USCMed dataset is included as an open-access dataset in the paper, "A Reliable and Efficient Detection Pipeline for Rodent Ultrasonic Vocalizations" which was published at the 7th International Conference on Advances in Signal Processing and Artificial Intelligence (ASPAI' 2025). This dataset was generated from experiments (approved by the University of South Carolina Institutional Animal Care and Use Committee) conducted at the University of South Carolina School of Medicine.

The USCMed dataset contains audio recordings and hand-scored annotations of 27 male rats for the Context trial (details in the paper). Note that, there are empty CSV files in the annotations directory for the audio recordings where no USV calls were found by human experts.
DOI: 10.5281/zenodo.14211070
title: USCMed Dataset - ContourUSV Detection Pipeline

description: The USCMed dataset is included as an open-access dataset in the "ContourUSV: A Reliable and Efficient Detection Pipeline for Rodent Ultrasonic Vocalizations" paper. This dataset was generated from experiments (approved by the University of South Carolina Institutional Animal Care and Use Committee) conducted at the University of South Carolina School of Medicine.
DOI: 10.5281/zenodo.14232443
title: USCMed Dataset - Rat Ultrasonic Vocalizations

description: The USCMed dataset is included as an open-access dataset in the "ContourUSV: A Reliable and Efficient Detection Pipeline for Rodent Ultrasonic Vocalizations" paper. This dataset was generated from experiments (approved by the University of South Carolina Institutional Animal Care and Use Committee) conducted at the University of South Carolina School of Medicine.
DOI: 10.5281/zenodo.15011554
title: USCMed Dataset - Rat Ultrasonic Vocalizations

description: The USCMed dataset is included as an open-access dataset in the paper, "A Reliable and Efficient Detection Pipeline for Rodent Ultrasonic Vocalizations" which was published at the 7th International Conference on Advances in Signal Processing and Artificial Intelligence (ASPAI' 2025). This dataset was generated from experiments (approved by the University of South Carolina Institutional Animal Care and Use Committee) conducted at the University of South Carolina School of Medicine.

The USCMed dataset contains audio recordings and hand-scored annotations of 27 male rats for the Context trial (details in the paper). Note that, there are empty CSV files in the annotations directory for the audio recordings where no USV calls were found by human experts.
DOI: 10.5281/zenodo.15029872
title: USCMed Dataset - Rat Ultrasonic Vocalizations

description: The USCMed dataset is included as an open-access dataset in the paper, "A Reliable and Efficient Detection Pipeline for Rodent Ultrasonic Vocalizations" which was published at the 7th International Conference on Advances in Signal Processing and Artificial Intelligence (ASPAI' 2025). This dataset was generated from experiments (approved by the University of South Carolina Institutional Animal Care and Use Committee) conducted at the University of South Carolina School of Medicine.

The USCMed dataset contains audio recordings and hand-scored annotations of 27 male rats for the Context trial (details in the paper). Note that, there are empty CSV files in the annotations directory for the audio recordings where no USV calls were found by human experts.
DOI: 10.15468/dl.bxzx79
title: Occurrence Download

description: A dataset containing 538 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Gonolobus erianthus Decne."
 ]
}

 The dataset includes 538 records from 57 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009552-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zn54jz
title: Occurrence Download

description: A dataset containing 9383 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Colección de Reptiles del Instituto de Investigación de Recursos Biológicos Alexander von Humboldt (IAvH-R)"
 ]
}

 The dataset includes 9383 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009551-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6nxdtf
title: Occurrence Download

description: A dataset containing 56 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Sipha glyceriae (Kaltenbach, 1843)",
 "HasGeospatialIssue is false",
 "HasCoordinate is true"
 ]
}

 The dataset includes 56 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009553-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cs7yvz
title: Occurrence Download

description: A dataset containing 88 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Schizaphis rotundiventris (Signoret, 1860)",
 "HasGeospatialIssue is false",
 "HasCoordinate is true"
 ]
}

 The dataset includes 88 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009556-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5y4xap
title: Occurrence Download

description: A dataset containing 3033 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Specimen, Material citation, Material sample, Occurrence evidence)",
 "Continent is one of (Europe, Asia, Africa)",
 "TaxonKey is Araneus diadematus Clerck, 1757"
 ]
}

 The dataset includes 3033 records from 97 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009557-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bpttvv
title: Occurrence Download

description: A dataset containing 349 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Specimen, Material sample)",
 "Continent is North America",
 "TaxonKey is Araneus diadematus Clerck, 1757"
 ]
}

 The dataset includes 349 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009558-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ppb9nd
title: Occurrence Download

description: A dataset containing 6 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Subacyrthosiphon cryptobium Hille Ris Lambers, 1947",
 "HasGeospatialIssue is false",
 "HasCoordinate is true"
 ]
}

 The dataset includes 6 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009559-250310093411724/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.28400801
title: Supplementary tables

description: <b>The supplementary tables for the study "Effects of High-Salt Intake on Glucose Metabolism, Liver Function, and the Microbiome in Rats: Influence of ACE Inhibitors and </b><b>Angiotensin II Receptor Blockers" submitted by Xiaoli Zhang et al.</b>