cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh0194581.10fu
title: SH0194581.10FU

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/sh0194582.10fu
title: SH0194582.10FU

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/sh0194583.10fu
title: SH0194583.10FU

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/sh0194584.10fu
title: SH0194584.10FU

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/sh0194585.10fu
title: SH0194585.10FU

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/sh0194586.10fu
title: SH0194586.10FU

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.bexu4m
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Ellychnia granulicollis"
 ]
}

 The dataset includes 2 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002044-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh0194587.10fu
title: SH0194587.10FU

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.tjb4ju
title: Occurrence Download

description: A dataset containing 206 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Choloepus didactylus (Linnaeus, 1758)",
 "Year 2015-2025"
 ]
}

 The dataset includes 206 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025270-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yzyscw
title: Occurrence Download

description: A dataset containing 4407 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Panthera tigris (Linnaeus, 1758)",
 "Year 2000-2025"
 ]
}

 The dataset includes 4407 records from 44 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025271-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.j63pp9
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Procellaria leucomelas Temminck, 1836",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025273-250127130748423/datasets/export for details.
DOI: 10.15468/dl.2mpnwe
title: Occurrence Download

description: A dataset containing 10382 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Oreochromis mossambicus (Peters, 1852)"
 ]
}

 The dataset includes 10382 records from 122 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025272-250127130748423/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/10731684
title: Daily Public Opinion on Israel-Palestine War
DOI: 10.5281/zenodo.14857980
title: Multi-CAST English

description: Cite the source of the dataset as:




Schiborr, Nils N. 2022. Multi-CAST English. In Haig, Geoffrey & Schnell, Stefan (eds.), Multi-CAST: Multilingual corpus of annotated spoken texts. Version 2211. Bamberg: University of Bamberg. (multicast.aspra.uni-bamberg.de/#english) (date accessed)
DOI: 10.5281/zenodo.14857981
title: Multi-CAST English

description: Cite the source of the dataset as:




Schiborr, Nils N. 2015. Multi-CAST English. In Haig, Geoffrey & Schnell, Stefan (eds.), Multi-CAST: Multilingual corpus of annotated spoken texts. Version 1505. Bamberg: University of Bamberg. (multicast.aspra.uni-bamberg.de/#english) (date accessed)
DOI: 10.5281/zenodo.14858124
title: Multi-CAST English

description: Cite the source of the dataset as:




Schiborr, Nils N. 2019. Multi-CAST English. In Haig, Geoffrey & Schnell, Stefan (eds.), Multi-CAST: Multilingual corpus of annotated spoken texts. Version 1905. Bamberg: University of Bamberg. (multicast.aspra.uni-bamberg.de/#english) (date accessed)
DOI: 10.5281/zenodo.14858144
title: Multi-CAST English

description: Cite the source of the dataset as:




Schiborr, Nils N. 2019. Multi-CAST English. In Haig, Geoffrey & Schnell, Stefan (eds.), Multi-CAST: Multilingual corpus of annotated spoken texts. Version 1908. Bamberg: University of Bamberg. (multicast.aspra.uni-bamberg.de/#english) (date accessed)
DOI: 10.5281/zenodo.14858222
title: Multi-CAST English

description: Cite the source of the dataset as:




Schiborr, Nils N. 2020. Multi-CAST English. In Haig, Geoffrey & Schnell, Stefan (eds.), Multi-CAST: Multilingual corpus of annotated spoken texts. Version 2001. Bamberg: University of Bamberg. (multicast.aspra.uni-bamberg.de/#english) (date accessed)
DOI: 10.5281/zenodo.14858513
title: Multi-CAST English

description: Cite the source of the dataset as:




Schiborr, Nils N. 2020. Multi-CAST English. In Haig, Geoffrey & Schnell, Stefan (eds.), Multi-CAST: Multilingual corpus of annotated spoken texts. Version 2001. Bamberg: University of Bamberg. (multicast.aspra.uni-bamberg.de/#english) (date accessed)
DOI: 10.5281/zenodo.14858606
title: Multi-CAST English

description: Cite the source of the dataset as:




Schiborr, Nils N. 2021. Multi-CAST English. In Haig, Geoffrey & Schnell, Stefan (eds.), Multi-CAST: Multilingual corpus of annotated spoken texts. Version 2101. Bamberg: University of Bamberg. (multicast.aspra.uni-bamberg.de/#english) (date accessed)
DOI: 10.5281/zenodo.14858642
title: Multi-CAST English

description: Cite the source of the dataset as:




Schiborr, Nils N. 2023. Multi-CAST English. In Haig, Geoffrey & Schnell, Stefan (eds.), Multi-CAST: Multilingual corpus of annotated spoken texts. Version 2311. Bamberg: University of Bamberg. (multicast.aspra.uni-bamberg.de/#english) (date accessed)
DOI: 10.5281/zenodo.14858676
title: Multi-CAST English

description: Cite the source of the dataset as:




Schiborr, Nils N. 2021. Multi-CAST English. In Haig, Geoffrey & Schnell, Stefan (eds.), Multi-CAST: Multilingual corpus of annotated spoken texts. Version 2108. Bamberg: University of Bamberg. (multicast.aspra.uni-bamberg.de/#english) (date accessed)
DOI: 10.5281/zenodo.14858732
title: Multi-CAST English

description: Cite the source of the dataset as:




Schiborr, Nils N. 2023. Multi-CAST English. In Haig, Geoffrey & Schnell, Stefan (eds.), Multi-CAST: Multilingual corpus of annotated spoken texts. Version 2311. Bamberg: University of Bamberg. (multicast.aspra.uni-bamberg.de/#english) (date accessed)
DOI: 10.5281/zenodo.14858769
title: Multi-CAST English

description: Cite the source of the dataset as:




Schiborr, Nils N. 2021. Multi-CAST English. In Haig, Geoffrey & Schnell, Stefan (eds.), Multi-CAST: Multilingual corpus of annotated spoken texts. Version 2108. Bamberg: University of Bamberg. (multicast.aspra.uni-bamberg.de/#english) (date accessed)
DOI: 10.5281/zenodo.14858791
title: Multi-CAST English

description: Cite the source of the dataset as:




Schiborr, Nils N. 2021. Multi-CAST English. In Haig, Geoffrey & Schnell, Stefan (eds.), Multi-CAST: Multilingual corpus of annotated spoken texts. Version 2101. Bamberg: University of Bamberg. (multicast.aspra.uni-bamberg.de/#english) (date accessed)
DOI: 10.5281/zenodo.14858835
title: Multi-CAST English

description: Cite the source of the dataset as:




Schiborr, Nils N. 2022. Multi-CAST English. In Haig, Geoffrey & Schnell, Stefan (eds.), Multi-CAST: Multilingual corpus of annotated spoken texts. Version 2211. Bamberg: University of Bamberg. (multicast.aspra.uni-bamberg.de/#english) (date accessed)
DOI: 10.15468/dl.5wujq3
title: Occurrence Download

description: A dataset containing 70 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Malakichthys griseus Döderlein, 1883",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 70 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025274-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2w6u4a
title: Occurrence Download

description: A dataset containing 170 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is South Africa",
 "TaxonKey is Carcharodon carcharias (Linnaeus, 1758)",
 "Year 2000-2025"
 ]
}

 The dataset includes 170 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025275-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14795233
title: High throughput screening of five compound libraries for anthelmintic activity and toxicity leads to the discovery of two flavonoid compounds
DOI: 10.5281/zenodo.14795234
title: High throughput screening of five compound libraries for anthelmintic activity and toxicity leads to the discovery of two flavonoid compounds
DOI: 10.15468/dl.ezz9cy
title: Occurrence Download

description: A dataset containing 14 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Africa",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Vigna bosseri Du Puy & Labat"
 ]
}

 The dataset includes 14 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025276-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ve7tde
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Malakichthys similis Yamanoue & Matsuura, 2004",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025277-250127130748423/datasets/export for details.
DOI: 10.6084/m9.figshare.28399706
title: R code and data set

description: Code and data set are listed.
DOI: 10.6084/m9.figshare.28399706.v1
title: R code and data set

description: Code and data set are listed.
DOI: 10.15468/dl.yn382h
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Africa",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Haydonia monophylla (Taub.) R.Wilczek"
 ]
}

 The dataset includes 4 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025278-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.c6frtd
title: Occurrence Download

description: A dataset containing 224444 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Chelonia mydas (Linnaeus, 1758)",
 "Year 2010-2025"
 ]
}

 The dataset includes 224444 records from 256 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025257-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.28yyjb
title: Occurrence Download

description: A dataset containing 61615 records in GBIF matching the query:

SELECT 
 GBIF_MGRSCode(
 100000, 
 decimalLatitude,
 decimalLongitude,
 0 
 ) AS mgrs,
 COUNT(DISTINCT speciesKey) AS unique_species_count
FROM
 occurrence
GROUP BY
 mgrs;
 

 The dataset's 61615 records were derived from 70800 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025242-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.s4gcyw
title: Occurrence Download

description: A dataset containing 12419611 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is South Africa",
 "Geometry POLYGON((15.87688 -38.62243,34.46445 -38.62243,34.46445 -28.31141,15.87688 -28.31141,15.87688 -38.62243))",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "Year 2010-2025"
 ]
}

 The dataset includes 12419611 records from 345 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025258-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.df58t2
title: Occurrence Download

description: A dataset containing 167 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pseudorca crassidens (Owen, 1846)",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 167 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025279-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.21227/fd2n-k462
title: AUV-PathRL: Trajectory Dataset for Reinforcement Learning in Autonomous Underwater Vehicles

description:     AUV-PathRL is a trajectory dataset generated by reinforcement learning (RL) models, designed for autonomous underwater vehicle (AUV) path planning and decision-making tasks. This dataset contains high-quality trajectory data collected from RL-trained AUV agents operating in simulated underwater environments. The data includes reinforcement learning information such as states, actions, and reward sequences, as well as path information such as path length and time, making it suitable for training and evaluating various learning-based path planning algorithms.    A key application of AUV-PathRL is training Decision Transformer (DT) models, enabling offline reinforcement learning and trajectory optimization. By leveraging sequential trajectory data, DT can learn to generate optimal navigation paths based on past experiences. This dataset serves as a valuable resource for researchers and engineers developing AI-driven underwater navigation systems, facilitating advancements in AUV autonomy and efficiency.
DOI: 10.15468/dl.wa4hyb
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Phocaena crassidens Owen, 1846",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025281-250127130748423/datasets/export for details.
DOI: 10.15468/dl.um85xv
title: Occurrence Download

description: A dataset containing 18714 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Continent is one of (South America, North America, Asia)",
 "Country is one of (Peru, Brazil, Ecuador, Colombia, Costa Rica, Bolivia (Plurinational State of), Mexico, Panama, Venezuela (Bolivarian Republic of), Nicaragua, Indonesia, Jamaica, Cuba, Puerto Rico, Dominican Republic, Honduras, Guatemala, Martinique, Guadeloupe, China, El Salvador, Dominica, Paraguay, Belize, Guyana, Haiti, Viet Nam, Saint Kitts and Nevis, Saint Lucia, Malaysia, Saint Vincent and the Grenadines, Philippines, Montserrat)",
 "TaxonKey is Hedyosmum Sw."
 ]
}

 The dataset includes 18714 records from 325 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025280-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xdh93g
title: Occurrence Download

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pedaria ricardogutai Daniel, Strumpher & Josso, 2023"
 ]
}

 The dataset includes 5 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025282-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.