cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/nwzcm9ckrt.1
title: A Diffusion Model-Generated Forest Fire Dataset

description: This dataset consists of 2,204 AI-generated images, created using a Stable Diffusion model. The images are organized into two distinct folders:

Fire: Contains 1,102 images depicting synthetic representations of forest fires.
Non-Fire: Contains 1,102 images showing various forest scenes without any fire activity.
Each image has a resolution of 150x150 pixels, optimized for use in machine learning tasks such as classification, detection, and environmental monitoring.

Purpose
The dataset is intended to aid research and development in areas such as:

Forest fire detection and prevention using AI.
Benchmarking deep learning models for image classification tasks.
Studying the environmental impact of forest fires.

Key Features
Generated with Stable Diffusion, ensuring high-quality and varied synthetic visuals.
Balanced dataset structure (equal representation of fire and non-fire images).
Small image size (150x150), suitable for lightweight model training and testing.
DOI: 10.15468/dl.xqg3fy
title: Occurrence Download

description: A dataset containing 188 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Crepis vesicaria L.",
 "Geometry POLYGON((-141 24, -53 24, -53 83, -141 83, -141 24))"
 ]
}

 The dataset includes 188 records from 26 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017749-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fhcqa2
title: Occurrence Download

description: A dataset containing 13 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Boiga irregularis (Bechstein, 1802)",
 "Country is United States of America",
 "Year is greater than or equal to 1500"
 ]
}

 The dataset includes 13 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017751-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/ny5x3bkd56.1
title: A dataset to measure China biodiversity risk

description: Extinctions of biological populations are becoming more frequent and have important implications for related sectors. As a result, the risks associated with biodiversity have received increasing attention and are considered to be entirely new risk factors. To understand the drivers of biodiversity risk, it is crucial to measure biodiversity risk at multiple levels, especially in developing countries. From perspectives of macro-government, meso-industry, and micro-companies, we use machine learning and text mining methods to measure the biodiversity risk of the Chinese market from 2000 to 2023, by using official media news texts, related fund holding data, and listed companies’ annual report texts. Specifically, our data features a measure of biodiversity risk in each of the three dimensions. Unlike previous biodiversity risk measurements, our data can reflect China's biodiversity risk from multiple perspectives, including macro-government, meso-industry, and micro-firms. Also our biodiversity risk data can be clustered on categorical domains such as time, city, and industry. As a result, our data can be matched with most relevant studies. Our biodiversity risk macro-data comes from the news data of Chinese mainstream media between 2013 and 2023, and we adopt a machine learning approach to text mining to obtain the biodiversity risk of 5,394 trading days. Our biodiversity risk meso-data comes from more than 40 funds related to conceptual themes such as ‘bioprotection’ listed between 2015 and 2023. Our micro-biodiversity risk indicators are extracted from the annual reports of 5,606 listed firms listed on the Shanghai Stock Exchange, Shenzhen Stock Exchange and Beijing Stock Exchange from 2000 to 2023.
DOI: 10.15468/dl.4vu4rh
title: Occurrence Download

description: A dataset containing 14 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pleuronectes herzensteini (Jordan & Snyder, 1901)",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 14 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017750-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bber2m
title: Occurrence Download

description: A dataset containing 358 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Gobius fallax Sarato, 1889",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 358 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017752-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.52gsdx
title: Occurrence Download

description: A dataset containing 1654 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is South America",
 "Country is Brazil",
 "Month is one of (January, February, March, April, May, June, July, August, September, October, November, December)",
 "OccurrenceStatus is Present",
 "TaxonKey is Iguana Laurenti, 1768",
 "Year 1997-2024"
 ]
}

 The dataset includes 1654 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017753-241126133413365/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.27961545
title: <b>Association between </b><b><i>ACTN3, BDKRB2 </i></b><b>and</b><b><i> AGT</i></b><b> polymorphisms and physical performance in Brazilian junior handball players</b>

description: Team handball performance relies on physical and technical abilities, influenced by environmental and genetic factors. Variants in <i>ACTN3</i>, <i>BDKRB2</i>, and <i>AGT</i> genes are associated with athletic performance, but their relevance in handball remains unclear. Therefore, this study aimed to investigate the association of these polymorphisms with physical performance in Brazilian junior handball players. The study included 91 junior male handball players (16.4 ± 0.7 years) and 74 age-matched non-athletes. Genotypes for <i>ACTN3</i> (R577X), <i>BDKRB2</i> (-9/+9), and <i>AGT</i> (M235T) were identified using PCR-based techniques. Physical tests assessed upper limb strength (medicine ball throw) and lower limb power (standing long jump).
DOI: 10.6084/m9.figshare.27961545.v1
title: <b>Association between </b><b><i>ACTN3, BDKRB2 </i></b><b>and</b><b><i> AGT</i></b><b> polymorphisms and physical performance in Brazilian junior handball players</b>

description: Team handball performance relies on physical and technical abilities, influenced by environmental and genetic factors. Variants in <i>ACTN3</i>, <i>BDKRB2</i>, and <i>AGT</i> genes are associated with athletic performance, but their relevance in handball remains unclear. Therefore, this study aimed to investigate the association of these polymorphisms with physical performance in Brazilian junior handball players. The study included 91 junior male handball players (16.4 ± 0.7 years) and 74 age-matched non-athletes. Genotypes for <i>ACTN3</i> (R577X), <i>BDKRB2</i> (-9/+9), and <i>AGT</i> (M235T) were identified using PCR-based techniques. Physical tests assessed upper limb strength (medicine ball throw) and lower limb power (standing long jump).
DOI: 10.15468/dl.4r4759
title: Occurrence Download

description: A dataset containing 6726 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Trifolium hirtum All.",
 "Geometry POLYGON((-141 24, -53 24, -53 83, -141 83, -141 24))"
 ]
}

 The dataset includes 6726 records from 72 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017754-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.uex9px
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Limanda herzensteini Jordan & Snyder, 1901",
 "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/0017756-241126133413365/datasets/export for details.
DOI: 10.15468/dl.9h2ne3
title: Occurrence Download

description: A dataset containing 23116 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Europe",
 "DatasetKey is Mosquito Alert Dataset",
 "TaxonKey is Aedes albopictus (Skuse, 1894)"
 ]
}

 The dataset includes 23116 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017755-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7r5mdm
title: Occurrence Download

description: A dataset containing 8407 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-87.6967 28.40542,-70.53056 28.40542,-70.53056 42.55409,-87.6967 42.55409,-87.6967 28.40542))",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Ursus americanus Pallas, 1780"
 ]
}

 The dataset includes 8407 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017757-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.q4ywcg
title: Occurrence Download

description: A dataset containing 7 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Canada",
 "Geometry POLYGON((-116.07039 49.04258,-126.30384 62.70563,-141.07321 60.32704,-125.19752 47.93626,-116.07039 49.04258))",
 "TaxonKey is Egeria densa Planch."
 ]
}

 The dataset includes 7 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017759-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.89eb27
title: Occurrence Download

description: A dataset containing 320 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pseudopleuronectes yokohamae (Günther, 1877)",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 320 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017761-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.65ypjn
title: Occurrence Download

description: A dataset containing 2510 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Dipsacus sativus (L.) Honck.",
 "Geometry POLYGON((-141 24, -53 24, -53 83, -141 83, -141 24))"
 ]
}

 The dataset includes 2510 records from 22 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017762-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2r8xw5
title: Occurrence Download

description: A dataset containing 7597 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Observation, Human Observation)",
 "Geometry POLYGON((-89.38293 26.39779,-70.92583 26.39779,-70.92583 41.86965,-89.38293 41.86965,-89.38293 26.39779))",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Ursus americanus Pallas, 1780"
 ]
}

 The dataset includes 7597 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017763-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2vjqdk
title: Occurrence Download

description: A dataset containing 70 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pleuronectes yokohamae Günther, 1877",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 70 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017764-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.efpguv
title: Occurrence Download

description: A dataset containing 3734 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Hypochaeris glabra L.",
 "Geometry POLYGON((-141 24, -53 24, -53 83, -141 83, -141 24))"
 ]
}

 The dataset includes 3734 records from 93 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017765-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3w4pzv
title: Occurrence Download

description: A dataset containing 1074 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (Dominican Republic, Haiti)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Bignoniaceae"
 ]
}

 The dataset includes 1074 records from 23 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017767-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.y7u86d
title: Occurrence Download

description: A dataset containing 1065 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Gobius geniporus Valenciennes, 1837",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 1065 records from 25 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017769-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.b5zds6
title: Occurrence Download

description: A dataset containing 646 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Scomber japonicus Houttuyn, 1782",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 646 records from 30 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017768-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.w3fca4
title: Occurrence Download

description: A dataset containing 2138644 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON((100.114954054772 13.9211660832223, 107.653150262484 13.9211660832223, 107.653150262484 22.4952680526577, 100.114954054772 22.4952680526577, 100.114954054772 13.9211660832223))"
 ]
}

 The dataset includes 2138644 records from 1097 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017745-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh1079467.10fu
title: SH1079467.10FU

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/sh1079470.10fu
title: SH1079470.10FU

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/sh1079475.10fu
title: SH1079475.10FU

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/sh1079477.10fu
title: SH1079477.10FU

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/sh1079478.10fu
title: SH1079478.10FU

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/sh1079480.10fu
title: SH1079480.10FU

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/sh1079481.10fu
title: SH1079481.10FU

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.