cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh0195004.10fu
title: SH0195004.10FU

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/sh0195005.10fu
title: SH0195005.10FU

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/sh0195006.10fu
title: SH0195006.10FU

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/sh0195007.10fu
title: SH0195007.10FU

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.31032463
title: Pseudomonas sp. WMBT8 chromosome PHASTEST prophage predictions

description: Pseudomonas sp. WMBT8 was isolated from the gut of the deepwater sculpin from Lake Superior. The complete genome sequence was determined to comprehensively characterize this bacterial species from the gut microbiome. As part of that analysis, prophage insertions were identified with PHASTEST and genomic islands identified with Island Viewer.
DOI: 10.15156/bio/sh0195008.10fu
title: SH0195008.10FU

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.31032463.v1
title: Pseudomonas sp. WMBT8 chromosome PHASTEST prophage predictions

description: Pseudomonas sp. WMBT8 was isolated from the gut of the deepwater sculpin from Lake Superior. The complete genome sequence was determined to comprehensively characterize this bacterial species from the gut microbiome. As part of that analysis, prophage insertions were identified with PHASTEST.
DOI: 10.6084/m9.figshare.31032463.v2
title: Pseudomonas sp. WMBT8 chromosome PHASTEST prophage predictions

description: Pseudomonas sp. WMBT8 was isolated from the gut of the deepwater sculpin from Lake Superior. The complete genome sequence was determined to comprehensively characterize this bacterial species from the gut microbiome. As part of that analysis, prophage insertions were identified with PHASTEST and genomic islands identified with Island Viewer.
DOI: 10.15156/bio/sh0195009.10fu
title: SH0195009.10FU

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/sh0195010.10fu
title: SH0195010.10FU

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/sh0195011.10fu
title: SH0195011.10FU

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/sh0195012.10fu
title: SH0195012.10FU

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/sh0195013.10fu
title: SH0195013.10FU

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.whlkca
title: Occurrence Download

description: A dataset containing 3778 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Mauritia flexuosa L.f."
 ]
}

 The dataset includes 3778 records from 92 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010529-180824113759888/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wety2p
title: Occurrence Download

description: A dataset containing 27194 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Natural History Museum Rotterdam (NL) - Chordata collection"
 ]
}

 The dataset includes 27194 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011773-190415153152247/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.raf762
title: Occurrence Download

description: A dataset containing 60 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Colombia",
 "TaxonKey is Scinax garbei (Miranda-Ribeiro, 1926)"
 ]
}

 The dataset includes 60 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015380-200127171203522/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.t44yt6
title: Occurrence Download

description: A dataset containing 99379 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is South America",
 "Country is Colombia",
 "TaxonKey is Miconia Ruiz & Pav."
 ]
}

 The dataset includes 99379 records from 498 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0058605-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4s56mi
title: Occurrence Download

description: A dataset containing 1248 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Rhaebo guttatus (Schneider, 1799)"
 ]
}

 The dataset includes 1248 records from 56 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010529-181108115102211/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wox3ih
title: Occurrence Download

description: A dataset containing 3829612 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Elevation is less than or equal to 51.0m",
 "HasCoordinate is true",
 "TaxonKey is Tracheophyta",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 3829612 records from 609 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011761-180412121330197/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2vgjvw
title: Occurrence Download

description: A dataset containing 156 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Melaleuca lateriflora Benth.",
 {
 "or" : [
 "BasisOfRecord is Human Observation",
 "BasisOfRecord is Observation"
 ]
 },
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 156 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0045957-191105090559680/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.uiag4a
title: Occurrence Download

description: A dataset containing 454227 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Rutaceae"
 ]
}

 The dataset includes 454227 records from 848 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010530-180131172636756/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tntnnk
title: Occurrence Download

description: A dataset containing 1031 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (Spain, Portugal)",
 "OccurrenceStatus is Present",
 "TaxonKey is Dyschirius Bonelli, 1810"
 ]
}

 The dataset includes 1031 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021671-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qa3dhx
title: Occurrence Download

description: A dataset containing 8293 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Lepidoptera World (Luomus) (LEPW)",
 "TaxonKey is Pieridae"
 ]
}

 The dataset includes 8293 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021672-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dcspge
title: Occurrence Download

description: A dataset containing 25877 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Centaurea calcitrapa L."
 ]
}

 The dataset includes 25877 records from 590 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021664-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.d892z4
title: Occurrence Download

description: A dataset containing 20 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Asia",
 "Country is one of (Malaysia, Indonesia)",
 "TaxonKey is Tarlmounia H.Rob., S.C.Keeley, Skvarla & R.Chan"
 ]
}

 The dataset includes 20 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021675-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.krj4bn
title: Occurrence Download

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Rhynchobatus djiddensis (Forsskål, 1775)",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "Geometry POLYGON ((-97.8883 -6.097505, 41.7761 -6.097505, 41.7761 47.2805, -97.8883 47.2805, -97.8883 -6.097505))",
 "Year is greater than or equal to 1900"
 ]
}

 The dataset includes 5 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021676-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14185244
title: A companion dataset to the paper Scenarios of future climate zone changes in Europe based on EURO-CORDEX regional model ensemble by Holtanová et al., to be submitted to  Regional Environmental Change

description: The content of the dataset is described in the metadata.txt file.
DOI: 10.5281/zenodo.14185245
title: A companion dataset to the paper Scenarios of future climate zone changes in Europe based on EURO-CORDEX regional model ensemble by Holtanová et al., to be submitted to  Regional Environmental Change

description: The content of the dataset is described in the metadata.txt file.
DOI: 10.15468/dl.bw7rkf
title: Occurrence Download

description: A dataset containing 14908 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is one of (Roemeria sicula (Guss.), Roemeria hispida Stace)"
 ]
}

 The dataset includes 14908 records from 440 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021674-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xhh9ve
title: Occurrence Download

description: A dataset containing 5358240 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Asia",
 "Country is China",
 "OccurrenceStatus is Present",
 "Year 2000-2024"
 ]
}

 The dataset includes 5358240 records from 2761 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021615-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15169984
title: Dataset_Jimataa_Restaurants_Riohacha

description: The Dataset_Jimataa_Restaurants_Riohacha is part of a web-based recommendation system called Jimataa, designed to offer recommendations for tourist services in the city of Riohacha, Colombia. This system specifically targets the restaurant industry, as well as other tourist-related services in the region, helping tourists make informed decisions about where to eat.

The dataset is used to train and enhance the Jimataa recommendation system, which utilizes various criteria to generate personalized recommendations for users. These criteria could include factors such as location, price, type of cuisine, user preferences, and ratings, ensuring that tourists receive relevant suggestions tailored to their needs and tastes.
DOI: 10.5281/zenodo.15169985
title: Dataset_Jimataa_Restaurants_Riohacha

description: The Dataset_Jimataa_Restaurants_Riohacha is part of a web-based recommendation system called Jimataa, designed to offer recommendations for tourist services in the city of Riohacha, Colombia. This system specifically targets the restaurant industry, as well as other tourist-related services in the region, helping tourists make informed decisions about where to eat.

The dataset is used to train and enhance the Jimataa recommendation system, which utilizes various criteria to generate personalized recommendations for users. These criteria could include factors such as location, price, type of cuisine, user preferences, and ratings, ensuring that tourists receive relevant suggestions tailored to their needs and tastes.
DOI: 10.5281/zenodo.15167868
title: Global market analysis (April 2025)

description: As of April 7, 2025, global financial markets are undergoing a sharp correction, primarily triggered by the implementation of extensive tariff policies by the Trump administration. The Dow Jones Industrial Average has fallen 5.5%, with the tech-heavy

Nasdaq Composite officially entering bear market territory after a decline exceeding 20% from recent highs.

The technology sector has been disproportionately affected due to its reliance on global supply chains and international trade exposure. Asian markets have experienced even steeper declines, with the Hang Seng dropping 13.2%, marking its steepest decline since the 1997 Asian financial crisis.

While market sentiment is overwhelmingly negative and volatility remains elevated, our comprehensive analysis suggests this downturn is primarily policy-driven rather than indicative of fundamental economic weaknesses. Drawing comparisons to historical dislocations—most notably the 1987 "Black Monday" crash—today's market environment reveals both significant risk and selective opportunity for long-term investors.