cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh1398020.10fu
title: SH1398020.10FU

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/sh1398021.10fu
title: SH1398021.10FU

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/sh1398022.10fu
title: SH1398022.10FU

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/sh1398023.10fu
title: SH1398023.10FU

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/sh1398027.10fu
title: SH1398027.10FU

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.9fnxw9
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "ScientificName is Onopordum beckianum",
 "BasisOfRecord is Human Observation",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006092-260108223611665/datasets/export for details.
DOI: 10.15156/bio/sh1398028.10fu
title: SH1398028.10FU

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/sh1398029.10fu
title: SH1398029.10FU

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/sh1398031.10fu
title: SH1398031.10FU

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: 10.14457/stou.the.2002.94
title: การศึกษาขนาดตลาดปลาทูน่าและศักยภาพการจับปลาทูน่าด้วยเบ็ดราวทะเลลึก

description: จากการที่ประเทศไทยได้ประสบปัญหาขาดแคลนทรัพยากรสัตว์น้ำบริเวณชายฝั่งมานาน ซึ่งปัจจุบันชาวประมงไทยยังไม่ได้รับการสนับสมุนให้ทำประมงในทะเลลึกอย่างจริงจังโดยเฉพาะการจับปลาทูน่า ซึ่งเป็นปลาเศรษฐกิจและเป็นที่ต้องการของตลาดอย่างมากในปัจจุบันการวิจัยครั้งนี้มีวัตถุประสงค์เพื่อ (1) ศึกษาขนาดตลาดและปริมาณปลาทูน่าที่ได้จากการประมงเบ็ดราวที่เป็นความต้องการของตลาดทั้งในประเทศและต่างประเทศ (2) เพื่อหาแนวทางในการเพื่มศักยภาพในการทำประมงเบ็ดราวทูน่าในทะเลลึก และ (3) เพื่อนำเสนอผลการวิจัยให้ผู้เกี่ยวข้องได้นำไปใช้เป็นข้อมูลพื้นฐานในการทำประมงนอกน่านน้ำไทยวิธีดำเนินการวิจัย ได้ใช้แบบสัมภาษณ์เป็นเครื่องมือในการเก็บรวบรวมข้อมูล โดยสัมภาษณ์จากผู้รประสบการณ์หรือความรู้เกี่ยวก็บการประมงเบ็ดราวทูน่าผลการวิจัยพบว่าโอกาสในการพัฒนาการประมงนอกน่านนั้าไทยเพื่อตอบสนองต่อตลาดและความต้องการปลาทูน่าทั้งในประเทศและต่างประเทศนั้นมีแนวโน้มและความเป็นไปได้สูง เพราะปลาทูน่าจากเบ็ดราวเป็นที่นิยมบริโภค โดยเฉพาะใช้ทำอาหารประเภทปลาดิบ โดยในตลาดญี่ปุ่นมีความต้องการไม่ต่ำกว่าปีละ 450.000 ดัน ในขณะที่แหล่งจับปลาทูน่าด้วยเครื่องมือเบ็ดราวบริเวณมหาสมุทรอินเดีย ในปัจจุบันมีปริมาณการจับประมาณ 200,000 ดันต่อปีเท่านั้น การวิจัยนี้มีข้อเสนอแนะ 2 ประเด็นคือ (1) ประเทศไทยควรเร่งพัฒนากองเรือเบ็ดราวทูน่า; และ (2) ดำเนินการปรับปรุงท่าเทียบเรือสะพานปลาภูเก็ตให้สามารถรองรับเรือประมงเบ็ดราวทูน่าที่มีขนาดใหญ่และมีจำนวนมากขึ้นซึ่งจากข้อเสนอแนะทั้งสองข้อ ต้องประสานงานความร่วมมือในการสนับสมุนจากภาครัฐบาลและภาคเอกชน เพื่อให้บรรลุตามนโยบายของรัฐบาลการพัฒนาการประมงนอกน่านน้ำไทย || There have been insufficient sea animal for years in fisheries at Thai coastal.Nowadays, Thai fishermen are not encouraged to work in deep sea where they can catch many sea animal, especially, tuna. At present, tuna is very important as of economy fish and high demand in the market. The objectives of this study were (1) to study the market and quantity of tuna from longline fisheries and demand of the domestic and foreign market: (2) to findsolutions for developing the potential of deep sea longline fisheries; and (3) to propose this thesis to the concerned party in order to develop the fisheries outside territorial waters of Thailand, to meet the policy and development plan. This results from experimental through interviewing the experts who have experiences and knowledges of the tuna from deep sea longline. It was found that more opportunities could be developed in the fisheries outside Thai territorial waters in order to support the demand of tuna in domestic and foreign market. Since tuna can be served raw as the favourite Japanese food called Sashimi, the demand of tuna from longline fisheries in Japan is not less than 450,000 metric tons per year while we can catch in the Indian Ocean for only 200,000 metric tons per year. It was recommended that (1) tuna longline fleet should be developed; and (2) the Phuket fishing port should be improved to support the fleet and completed with the necessary public facilities.
DOI: 10.15156/bio/sh1398036.10fu
title: SH1398036.10FU

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: 10.34740/kaggle/dsv/13342776
title: SOLANA Price Data Binance API (2020–Now)
DOI: 10.15468/dl.yx4a28
title: Occurrence Download

description: A dataset containing 11 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Lerodea erythrostictus",
 "HasCoordinate is true"
 ]
}

 The dataset includes 11 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006011-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mfsbfn
title: Occurrence Download

description: A dataset containing 64354 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Egretta alba"
 ]
}

 The dataset includes 64354 records from 235 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005980-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kaqdgw
title: Occurrence Download

description: A dataset containing 4061 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Antirhea borbonica"
 ]
}

 The dataset includes 4061 records from 61 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006010-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9rs4ts
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Draba glauca"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006012-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.v69ym3
title: Occurrence Download

description: A dataset containing 119 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Cardamine franchetiana"
 ]
}

 The dataset includes 119 records from 25 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006013-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.16053571
title: SNPedia Offline Database Snapshot – July 2025

description: This dataset is an offline snapshot of the SNPedia wiki, scraped between July 12 and July 17, 2025 using a custom tool. It includes structured information on human single nucleotide polymorphisms (SNPs) and their annotations as found in SNPedia at the time of collection. This database dump contains data related to genetic variants, genotypes, medical conditions, and other phenotypic associations. It is provided as a comprehensive SQLite database file, which allows for powerful local querying of the entire SNPedia knowledge base without needing to use the live API. The dataset is intended for research and educational use.
DOI: 10.5281/zenodo.16053572
title: SNPedia Offline Database Snapshot – July 2025

description: This dataset is an offline snapshot of the SNPedia wiki, scraped between July 12 and July 17, 2025 using a custom tool. It includes structured information on human single nucleotide polymorphisms (SNPs) and their annotations as found in SNPedia at the time of collection. This database dump contains data related to genetic variants, genotypes, medical conditions, and other phenotypic associations. It is provided as a comprehensive SQLite database file, which allows for powerful local querying of the entire SNPedia knowledge base without needing to use the live API. The dataset is intended for research and educational use.
DOI: 10.15468/dl.2aands
title: Occurrence Download

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cordia alliodora",
 "Country is Tonga",
 "HasCoordinate is true"
 ]
}

 The dataset includes 5 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006015-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zb3vst
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Réseau Tortues Marines de Méditerranée Française (RTMMF)-Pontes de tortues marines observées par le RTMMF en mer méditerranée française"
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006014-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.umayfw
title: Occurrence Download

description: A dataset containing 108 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Eichhornia crassipes",
 "Country is Costa Rica",
 "HasCoordinate is true"
 ]
}

 The dataset includes 108 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006016-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.np9x8j
title: Occurrence Download

description: A dataset containing 28 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Menonvillea cicatricosa"
 ]
}

 The dataset includes 28 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006017-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.spyvqd
title: Occurrence Download

description: A dataset containing 86 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Observations Cétacés 2023 réalisées dans le cadre du programme \"Les Sentinelles Citoyennes\" par les bénévoles du Réseau RIEM (Réseau Initiatives des Eco-explorateurs de la Mer)"
 ]
}

 The dataset includes 86 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006018-250717081556266/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.24649941
title: <b>Exploring the influence of intensive management practices on recreational hunters' satisfaction: a case study of red deer big game in Spain</b>

description: Recreational hunting, particularly trophy big game hunting, significantly influences large territories and demands specific wildlife management measures. The pursuit of maximum hunter satisfaction can compromise species conservation. Is key to identify the factors that drive the satisfaction of recreational trophy hunters. We investigated the factors influencing recreational trophy hunters' satisfaction in Southern Spain. We attended 20 dog-driven Iberian red deer hunts, collecting geographical and biometrical data from 556 hunted specimens and conducting 159 face-to-face surveys with hunters. Based on partial least-square path models, we found that overall satisfaction was positively correlated with achievement, appreciation, and service dimensions. Contextual variables, including hunters' experience, hunting scenarios, and individual and group hunting bags, showed different effects on these satisfaction dimensions. Several dimensions of hunters' satisfaction were affected by management decisions, which may have implications for conservation within our study system and broader implications for natural game management versus canned hunt practices.
DOI: 10.6084/m9.figshare.24649941.v1
title: <b>Exploring the influence of intensive management practices on recreational hunters' satisfaction: a case study of red deer big game in Spain</b>

description: Recreational hunting, particularly trophy big game hunting, significantly influences large territories and demands specific wildlife management measures. The pursuit of maximum hunter satisfaction can compromise species conservation. Is key to identify the factors that drive the satisfaction of recreational trophy hunters. We investigated the factors influencing recreational trophy hunters' satisfaction in Southern Spain. We attended 20 dog-driven Iberian red deer hunts, collecting geographical and biometrical data from 556 hunted specimens and conducting 159 face-to-face surveys with hunters. Based on partial least-square path models, we found that overall satisfaction was positively correlated with achievement, appreciation, and service dimensions. Contextual variables, including hunters' experience, hunting scenarios, and individual and group hunting bags, showed different effects on these satisfaction dimensions. Several dimensions of hunters' satisfaction were affected by management decisions, which may have implications for conservation within our study system and broader implications for natural game management versus canned hunt practices.