cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh1045919.10fu
title: SH1045919.10FU

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/sh1045926.10fu
title: SH1045926.10FU

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/sh1045929.10fu
title: SH1045929.10FU

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/sh1045930.10fu
title: SH1045930.10FU

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/sh1045934.10fu
title: SH1045934.10FU

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/sh1045941.10fu
title: SH1045941.10FU

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/sh1045944.10fu
title: SH1045944.10FU

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/sh1045950.10fu
title: SH1045950.10FU

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.ydpvhp
title: Occurrence Download

description: A dataset containing 1221605 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Arecaceae"
 ]
}

 The dataset includes 1221605 records from 2119 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020378-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.60656/68eb71a64f9c4d2d
title: Custom collection of categorize, classification, drizzle, droplet effective radius, ice effective radius, and 2 other products from Lindenberg on 28 Sep 2023
DOI: 10.15468/dl.ng5hdf
title: Occurrence Download

description: A dataset containing 680379 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Poa pratensis L."
 ]
}

 The dataset includes 680379 records from 3101 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004256-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.j6ah85
title: Occurrence Download

description: A dataset containing 309 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Colombia",
 "TaxonKey is Anolis chloris Boulenger, 1898"
 ]
}

 The dataset includes 309 records from 33 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006226-250227182430271/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xm33y2
title: Occurrence Download

description: A dataset containing 2162 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Observation, Machine Observation, Living Specimen, Occurrence evidence)",
 "Continent is North America",
 "Geometry POLYGON((-95.25839 19.42432,-58.27352 19.42432,-58.27352 48.7456,-95.25839 48.7456,-95.25839 19.42432))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Pomatomus saltatrix (Linnaeus, 1766)"
 ]
}

 The dataset includes 2162 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006227-250227182430271/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.knb6ug
title: Occurrence Download

description: A dataset containing 9561 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is South America",
 "Country is one of (Brazil, Argentina, Paraguay)",
 "TaxonKey is Geotrygon montana (Linnaeus, 1758)",
 "Year 1000-2024"
 ]
}

 The dataset includes 9561 records from 41 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006232-250227182400228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7910/dvn/xoy0uf
title: HGC Districts KMZ File

description: HGC Districts KMZ File
DOI: 10.15468/dl.6a4z96
title: Occurrence Download

description: A dataset containing 41 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Colombia",
 "TaxonKey is Anolis chocorum Williams & Duellman, 1967"
 ]
}

 The dataset includes 41 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006233-250227182400228/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.28541372
title: Supplemental data for SGLT2 inhibitors for acute myocardial infarction

description: <b>Supplementary material for the clinical efficacy and safety of Sodium-glucose Co-transporter 2 (SGLT2) inhibitors in patients with acute myocardial infarction; a meta-analysis of randomized controlled trials</b><br><br>
DOI: 10.6084/m9.figshare.28541372.v1
title: Supplemental data for SGLT2 inhibitors for acute myocardial infarction

description: <b>Supplementary material for the clinical efficacy and safety of Sodium-glucose Co-transporter 2 (SGLT2) inhibitors in patients with acute myocardial infarction; a meta-analysis of randomized controlled trials</b><br><br>
DOI: 10.25934/pr00010495
title: Investigation of the impact of serum electrolytes on the efficacy of immune-checkpoint blockade for solid cancer

description: Some studies have shown that salt (sodium) can affect the immune system. Recently, two studies found that high salt levels impact CD8+ T-cells, a type of immune cell that helps fight infections and cancer. A high-salt diet has also been shown to slow tumor growth in mice by changing certain immune cells.

In our recent work on bladder and kidney cancer, we found that sodium levels in the blood can predict how well patients respond to immune checkpoint inhibitors (ICB), a cancer treatment that helps the immune system attack cancer cells. Since sodium is easy and cheap to measure, this could be important because there aren’t many good ways to predict ICB effectiveness.

In our project, we will study how different electrolytes (like sodium) in the blood affect ICB treatment. We’ll look at how these levels might predict overall survival, how long cancer stays under control, and how well patients respond to treatment. We’ll also explore if combining different electrolyte (essential minerals found in the blood, like sodium, calcium and potassium which are vital to many key functions in the body) levels can help us predict outcomes even better and test this across different trials.
DOI: 10.5519/qd.6rp6kxei
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (6 records)
DOI: 10.15468/dl.9fudgn
title: Occurrence Download

description: A dataset containing 9 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Caragana junatovii Gorbunova"
 ]
}

 The dataset includes 9 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006230-250227182430271/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yj6bf6
title: Occurrence Download

description: A dataset containing 2162 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Observation, Machine Observation, Living Specimen, Occurrence evidence)",
 "Continent is North America",
 "Geometry POLYGON((-95.25839 19.42432,-58.27352 19.42432,-58.27352 48.7456,-95.25839 48.7456,-95.25839 19.42432))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Pomatomus saltatrix (Linnaeus, 1766)"
 ]
}

 The dataset includes 2162 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006234-250227182400228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ccga2k
title: Occurrence Download

description: A dataset containing 2407 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is South America",
 "Country is one of (Argentina, Brazil, Paraguay)",
 "TaxonKey is Coccycua cinerea (Vieillot, 1817)",
 "Year 1000-2024"
 ]
}

 The dataset includes 2407 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006235-250227182400228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.21227/1t3a-t920
title: DYLEM-HGR - A Dataset for Dynamic Hand Gesture Recognition with Leap Motion

description: Dynamic gesture recognition, which involves the interpretation of fluid- and time-dependent movement patterns, is a cornerstone of human-computer interaction (HCI). Unlike static gestures, dynamic gestures require systems capable of tracking and processing continuous motion in real time, making their recognition challenging. This is particularly critical in virtual reality (VR) and healthcare applications, where intuitive, touchless interfaces can significantly enhance user experience and operational efficiency. The effectiveness of gesture recognition systems is based on the availability of significant and reliable gesture datasets. In this paper, we present a dataset for Dynamic Hand Gesture Recognition with Leap Motion (DYLEM-HGR), featuring 400 dynamic hand gestures recorded using a Leap Motion Controller, providing rich, detailed data on hand and finger movements. The DYLEM-HGR is made available in three versions: i) as raw time series; ii) as cleaned and scaled time series; and iii) as statistic, engineered features. This allows the scientific community to facilitate the development of more sophisticated and accurate machine learning algorithms for gesture recognition. The DYLEM-HGR aims to catalyse innovation in dynamic gesture recognition, fostering more intuitive and effective HCI systems.
DOI: 10.15468/dl.e6hfvf
title: Occurrence Download

description: A dataset containing 9811 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Colección, preservación y caracterización de cultivares criollos de origen español de trigo y centeno de México"
 ]
}

 The dataset includes 9811 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006237-250227182400228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.efdcjq
title: Occurrence Download

description: A dataset containing 987 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Colombia",
 "TaxonKey is Anolis concolor Cope, 1862"
 ]
}

 The dataset includes 987 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006238-250227182400228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.b55whh
title: Occurrence Download

description: A dataset containing 16207 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is South America",
 "Country is one of (Argentina, Brazil, Paraguay)",
 "TaxonKey is Coccyzus melacoryphus Vieillot, 1817",
 "Year 1000-2024"
 ]
}

 The dataset includes 16207 records from 49 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006231-250227182430271/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xr7yxj
title: Occurrence Download

description: A dataset containing 20 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Duvigneaudia leonardii-crispi (J.Léonard) Kruijt & Roebers"
 ]
}

 The dataset includes 20 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006240-250227182400228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kbr5z3
title: Occurrence Download

description: A dataset containing 11 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Stenostephanus magdalenensis (Wassh.) J.R.I.Wood"
 ]
}

 The dataset includes 11 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006239-250227182400228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mynmxj
title: Occurrence Download

description: A dataset containing 107006371 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is iNaturalist Research-grade Observations"
 ]
}

 The dataset includes 107006371 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006214-250227182400228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.t4cdwq
title: Occurrence Download

description: A dataset listing the 1064 species recorded in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Machine Observation, Human Observation, Observation, Living Specimen, Occurrence evidence)",
 "Geometry POLYGON((-112.37352 31.65091,-112.3427 31.76186,-114.92538 32.58166,-114.96236 32.49536,-112.37352 31.65091))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset's 1064 records were derived from 27 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006221-250227182430271/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5upjaw
title: Occurrence Download

description: A dataset containing 6 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((8.48723 44.28882,9.20384 44.28882,9.20384 44.57533,8.48723 44.57533,8.48723 44.28882))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Saga pedo (Pallas, 1771)"
 ]
}

 The dataset includes 6 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006241-250227182400228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.sntkys
title: Occurrence Download

description: A dataset containing 113 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Colombia",
 "TaxonKey is Anolis danieli Williams, 1988"
 ]
}

 The dataset includes 113 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006232-250227182430271/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.q9zm8t
title: Occurrence Download

description: A dataset containing 273002 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Royal Netherlands Institute for Sea Research (NIOZ) - Kom Fyke Mokbaai"
 ]
}

 The dataset includes 273002 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006236-250227182400228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.