cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh0131534.10fu
title: SH0131534.10FU

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: 10.13145/bacdive143365.20251217.10
title: Actinobacillus sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive143366.20241212.9.2
title: Streptococcus dysgalactiae subsp. equisimilis

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.15156/bio/sh0131535.10fu
title: SH0131535.10FU

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: 10.13145/bacdive143366.20251217.10
title: Streptococcus dysgalactiae subsp. equisimilis

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive143367.20241212.9.2
title: Vibrio alginolyticus

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.15156/bio/sh0131536.10fu
title: SH0131536.10FU

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: 10.13145/bacdive143367.20251217.10
title: Vibrio alginolyticus

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive143368.20241212.9.2
title: Acidovorax temperans

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.15156/bio/sh0131537.10fu
title: SH0131537.10FU

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: 10.13145/bacdive143368.20251217.10
title: Acidovorax temperans

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive143369.20241212.9.2
title: Pseudomonas fragi

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive143369.20251217.10
title: Pseudomonas fragi

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.15156/bio/sh0131538.10fu
title: SH0131538.10FU

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: 10.13145/bacdive143370.20230509.8.1
title: Shewanella putrefaciens

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive143370.20251217.10
title: Shewanella putrefaciens

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.15156/bio/sh0131539.10fu
title: SH0131539.10FU

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.27890298
title: Data file1.csv

description: Comparison of evaluation metrics with the single-band dehazing model in 14 haze scenarios.
DOI: 10.6084/m9.figshare.27890298.v1
title: Data file1.csv

description: Comparison of evaluation metrics with the single-band dehazing model in 14 haze scenarios.
DOI: 10.6084/m9.figshare.27890334
title: Data file 2.csv

description: Comparison of evaluation metrics with the fusion dehaze algorithms in 14 haze scenarios.
DOI: 10.6084/m9.figshare.27890334.v1
title: Data file 2.csv

description: Comparison of evaluation metrics with the fusion dehaze algorithms in 14 haze scenarios.
DOI: 10.15468/dl.m39wqu
title: Occurrence Download

description: A dataset containing 44444 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Lynx lynx (Linnaeus, 1758)",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "Year is greater than or equal to 2000"
 ]
}

 The dataset includes 44444 records from 96 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044503-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14537408
title: ETHNOGRAPHY OF THE KARAKALPAK PEOPLE
DOI: 10.5281/zenodo.14537409
title: ETHNOGRAPHY OF THE KARAKALPAK PEOPLE
DOI: 10.6084/m9.figshare.27999437
title: <b>Effect of different types of milk consumption on type 2 diabetes and the mediating effect of amino acids: a Mendelian randomization study of East Asian population</b>

description: This is the Supplementary Material of Effect of different types of milk consumption on type 2 diabetes and the mediating effect of amino acids: a Mendelian randomization study of East Asian population
DOI: 10.6084/m9.figshare.27999437.v1
title: <b>Effect of different types of milk consumption on type 2 diabetes and the mediating effect of amino acids: a Mendelian randomization study of East Asian population</b>

description: This is the Supplementary Material of Effect of different types of milk consumption on type 2 diabetes and the mediating effect of amino acids: a Mendelian randomization study of East Asian population
DOI: 10.5281/zenodo.14537420
title: PEDAGOGIK TA'LIM KLASTERINING AMALIYOTGA TATBIQ ETISHNING TASHKILIY JIHATLARI
DOI: 10.5281/zenodo.14537421
title: PEDAGOGIK TA'LIM KLASTERINING AMALIYOTGA TATBIQ ETISHNING TASHKILIY JIHATLARI
DOI: 10.5281/zenodo.14537155
title: From Nets to Molecules: A Comparative Study of Stream Fish Diversity Recovery Using Different Sampling Methods in Eastern Amazonia

description: The Neotropical freshwaters of South America host an exceptional level of ichthyofaunal diversity with over 5,160 species, making it the richest continental fauna worldwide. Despite their richness, these freshwater ecosystems face severe threats from human activities, leading to significant declines in fish populations. Traditional fish sampling techniques, such as netting, have been fundamental to ichthyology, offering insights into species richness and abundance. However, the complexity of stream environments limits the effectiveness of conventional sampling tools. As a result, more elusive or niche species are often missed. In recent years, eDNA metabarcoding has emerged as a complementary method to traditional sampling. It allows for detection of aquatic organisms from water samples, expanding the scope of biodiversity assessments. However, eDNA filtration faces challenges, especially in turbid waters, and its accuracy can be influenced by primer bias and incomplete reference databases. Given these issues, this study combines traditional netting, water eDNA analysis, and dietary metabarcoding to assess the fish biodiversity in three Neotropical streams in the Capim River basin, Pará, Brazil. The integration of multiple sampling techniques offers a more accurate picture of biodiversity, helping to overcome the limitations of each individual method and providing essential insights for conservation efforts.
DOI: 10.5281/zenodo.14537156
title: From Nets to Molecules: A Comparative Study of Stream Fish Diversity Recovery Using Different Sampling Methods in Eastern Amazonia

description: The Neotropical freshwaters of South America host an exceptional level of ichthyofaunal diversity with over 5,160 species, making it the richest continental fauna worldwide. Despite their richness, these freshwater ecosystems face severe threats from human activities, leading to significant declines in fish populations. Traditional fish sampling techniques, such as netting, have been fundamental to ichthyology, offering insights into species richness and abundance. However, the complexity of stream environments limits the effectiveness of conventional sampling tools. As a result, more elusive or niche species are often missed. In recent years, eDNA metabarcoding has emerged as a complementary method to traditional sampling. It allows for detection of aquatic organisms from water samples, expanding the scope of biodiversity assessments. However, eDNA filtration faces challenges, especially in turbid waters, and its accuracy can be influenced by primer bias and incomplete reference databases. Given these issues, this study combines traditional netting, water eDNA analysis, and dietary metabarcoding to assess the fish biodiversity in three Neotropical streams in the Capim River basin, Pará, Brazil. The integration of multiple sampling techniques offers a more accurate picture of biodiversity, helping to overcome the limitations of each individual method and providing essential insights for conservation efforts.
DOI: 10.15468/dl.uaazpa
title: Occurrence Download

description: A dataset containing 231 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "PublishingCountry is Colombia",
 {
 "and" : [
 "Country is Colombia",
 {
 "not" : {
 "Issue" : [
 "is Country coordinate mismatch"
 ]
 }
 }
 ]
 }
 ]
 },
 "TaxonKey is one of (Dendropsophus virolinensis (Kaplan & Ruiz-Carranza, 1997))"
 ]
}

 The dataset includes 231 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044507-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5066/p9jma8wk
title: Shoreline Change Analysis for the Grand Bay National Estuarine Research Reserve, Mississippi Alabama: 1848 to 2017

description: Throughout the northern Gulf of Mexico, marsh shorelines are eroding due to wave attack, sea-level rise and subsidence. Shoreline erosion results in net marsh loss when transgression rates at the marsh-water edge exceed upland-marsh migration. Coastal marsh serves important ecologic and economic functions, such as providing habitat, absorbing floodwaters and storm surges, and coastal carbon sequestration. Therefore, the rate and processes of shoreline change are important considerations when evaluating the overall health and vulnerability of coastal marshes to future scenarios of sea-level rise, climate change, and global carbon budget.

The data presented here include compiled vectorized marsh shorelines and transects with shoreline change rates for the Grand Bay National Estuarine Research Reserve in Mississippi and Alabama from 1848 to 2017. Shoreline change was calculated from digital vector shorelines acquired from historical topographic sheets, aerial photography, or global positioning system (GPS) data. Shoreline change rates are estimated from the shoreline position of multiple dated datasets utilizing the intersection with a perpendicular transect to the congregate shoreline. These analyses were conducted using the Analyzing Movement Boundaries Using R (AMBUR) package. For additional information on AMBUR, see Jackson, C.W., Jr., 2010. Basic User Guide for the AMBUR package for R, version 1.0a.

Note: This data release was versioned on February 25, 2019. Please see the Suggested Citation section for details.
DOI: 10.15468/dl.8huxmq
title: Occurrence Download

description: A dataset containing 5355 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-88.91055 -35.55544,-25.09321 -35.55544,-25.09321 17.40358,-88.91055 17.40358,-88.91055 -35.55544))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Mangifera indica L."
 ]
}

 The dataset includes 5355 records from 281 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044504-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zuwppx
title: Occurrence Download

description: A dataset containing 44444 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Lynx lynx (Linnaeus, 1758)",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "Year is greater than or equal to 2000"
 ]
}

 The dataset includes 44444 records from 96 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044505-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.z7axg3
title: Occurrence Download

description: A dataset containing 21465 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "TaxonKey is Setophaga occidentalis (J.K.Townsend, 1837)"
 ]
}

 The dataset includes 21465 records from 68 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044509-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.py766c
title: Occurrence Download

description: A dataset listing the 4 species recorded in GBIF matching the query:
{
 "and" : [
 "Country is Brazil",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Lutzomyia longipalpis (Lutz & Neiva, 1912)"
 ]
}

 The dataset's 4 records were derived from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044499-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hbtzg3
title: Occurrence Download

description: A dataset containing 38554 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "TaxonKey is Setophaga nigrescens (J.K.Townsend, 1837)"
 ]
}

 The dataset includes 38554 records from 59 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044508-241126133413365/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.28072160
title: Data of Manuscript_Morphological and mechanical symmetry of the quadriceps and hamstrings in athletes

description: Data of Manuscript_Morphological and mechanical symmetry of the quadriceps and hamstrings in athletes<br>
DOI: 10.15468/dl.xyvt63
title: Occurrence Download

description: A dataset containing 5597041 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is The vascular plants collection (P) at the Herbarium of the Muséum national d'Histoire Naturelle (MNHN - Paris)"
 ]
}

 The dataset includes 5597041 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044486-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.v52q5e
title: Occurrence Download

description: A dataset containing 2370 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-87.05179 -37.99001,-21.37571 -37.99001,-21.37571 16.27318,-87.05179 16.27318,-87.05179 -37.99001))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Megathyrsus maximus (Jacq.) B.K.Simon & S.W.L.Jacobs"
 ]
}

 The dataset includes 2370 records from 223 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044510-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8n7kyt
title: Occurrence Download

description: A dataset containing 626 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "TaxonKey is Astronotus ocellatus (Agassiz, 1831)"
 ]
}

 The dataset includes 626 records from 76 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044511-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.