cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh0182421.10fu
title: SH0182421.10FU

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/sh0182422.10fu
title: SH0182422.10FU

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/sh0182423.10fu
title: SH0182423.10FU

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/sh0182424.10fu
title: SH0182424.10FU

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/sh0182425.10fu
title: SH0182425.10FU

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/sh0182426.10fu
title: SH0182426.10FU

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/sh0182427.10fu
title: SH0182427.10FU

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/sh0182428.10fu
title: SH0182428.10FU

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/sh0182429.10fu
title: SH0182429.10FU

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.3mjbmt
title: Occurrence Download

description: A dataset containing 24 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Bothriechis thalassinus Campbell & Smith, 2000"
 ]
}

 The dataset includes 24 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010578-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4rrcpb
title: Occurrence Download

description: A dataset containing 4405 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is one of (Guettarda viburnoides Cham. & Schltdl., Matthiola viburnoides (Cham. & Schltdl.) Kuntze)"
 ]
}

 The dataset includes 4405 records from 169 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010575-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.n6ngmd
title: Occurrence Download

description: A dataset listing the 198 species recorded in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((7.85467 44.32226,7.93123 44.32226,7.93123 44.36734,7.85467 44.36734,7.85467 44.32226))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "Year 1994-2024"
 ]
}

 The dataset's 198 records were derived from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010556-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kug4yu
title: Occurrence Download

description: A dataset containing 76048 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Oenanthe aquatica (L.) Poir."
 ]
}

 The dataset includes 76048 records from 570 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010572-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2hfkzg
title: Occurrence Download

description: A dataset containing 2536 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Invasive Alien Species Occurrence in Ghana"
 ]
}

 The dataset includes 2536 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010580-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zw834m
title: Occurrence Download

description: A dataset containing 1820 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Material sample, Specimen, Occurrence evidence)",
 "Country is Indonesia",
 "Geometry POLYGON((98.35918 2.24326,99.27888 2.24326,99.27888 2.89123,98.76738 3.07895,98.35918 2.89123,98.35918 2.24326))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Plantae"
 ]
}

 The dataset includes 1820 records from 30 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010581-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xcvw43
title: Occurrence Download

description: A dataset containing 55 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Ruprechtia aperta Pendry"
 ]
}

 The dataset includes 55 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010582-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.48323/q7fz2-hmk20
title: MS_Eclipse_2024_October

description: Eclipse + Vanquish Neo
MHO03CF - Bereuter
Standards
TKI02AY
TKI04BH
TKI04BI
DOI: 10.15468/dl.d9842u
title: Occurrence Download

description: A dataset containing 79950 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Oenanthe crocata L."
 ]
}

 The dataset includes 79950 records from 557 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010579-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pb8am7
title: Occurrence Download

description: A dataset containing 11695 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Scorzoneroides helvetica (Mérat) Holub, Hieracium squamosum E.H.L.Krause, Leontodon croceus var. pinnatifidus (W.D.J.Koch) Nyár., Leontodon helveticus Mérat, Leontodon pyrenaicus f. ovalescens (Murr) Hegi, Leontodon pyrenaicus f. pinnatifidus (W.D.J.Koch) Hegi, Leontodon pyrenaicus subsp. helveticus (Mérat) Finch & P.D.Sell, Leontodon pyrenaicus var. ovalescens Murr, Leontodon pyrenaicus var. pinnatifidus W.D.J.Koch, Scorzoneroides pyrenaica subsp. helvetica (Mérat) Izuzq., Scorzoneroides pyrenaica var. helvetica (Mérat) B.Bock)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "Continent is Europe",
 "Year is greater than or equal to 1900",
 "Year is less than or equal to 2024",
 "Month is greater than or equal to January",
 "Month is less than or equal to September"
 ]
}

 The dataset includes 11695 records from 48 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010585-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jvhsx2
title: Occurrence Download

description: A dataset containing 2391 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Acridotheres tristis (Linnaeus, 1766)",
 "Country is French Polynesia",
 "Year is greater than or equal to 1500"
 ]
}

 The dataset includes 2391 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010587-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9yc4b8
title: Occurrence Download

description: A dataset containing 373 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is FRA.11_1",
 "TaxonKey is Salsola kali L."
 ]
}

 The dataset includes 373 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010588-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25850/nioz/7b.b.0h
title: Data of Seasonal changes in bay water around Curacao

description: As endpoints of watersheds, bays often collect and concentrate erosion- and human-derived substances such as sediments, dissolved inorganic nutrients and pollutants. Through their connection with the ocean, the export of substances from bays to the coastal zone will affect the nearby benthic shallow ecosystems. We investigated the water movement and biogeochemistry of two bays with different adjacent land uses, Piscadera Bay and Spaanse Water, along the south coast of Curaçao during the Caribbean dry (May 2022 and 2023) and wet seasons (November 2021 and 2023). Water exchange between the bay and offshore waters was limited during the dry season for both bays, enhancing dissolved inorganic nutrient concentrations within the bays. The wet season showed increased mixing between bay and offshore water. Extreme weather conditions during the 2023 wet season due to an El Niño episode, resulted in heavy rainfall and runoff with an increased influx of waste water into the bay. This was apparent from the enriched δ15N and total xenobiotic concentrations that were over 1.5 times higher than were measured in the dry season. During the wet season, Piscadera Bay is subjected to higher wastewater influx and indeed exhibited elevated δ¹⁵N and δ¹³C values, indicating greater terrestrial influence than Spaanse Water. While this study includes data from one El Niño event, it highlights how extreme weather can boost nutrient and xenobiotics export from bays to the ocean, offering insights into potential impacts on nearby reefs under future climate change scenarios.
DOI: 10.15468/dl.w95jpn
title: Occurrence Download

description: A dataset containing 69119 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Oenanthe fistulosa L."
 ]
}

 The dataset includes 69119 records from 621 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010586-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jgye99
title: Occurrence Download

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

 The dataset includes 5 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020387-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.uem6py
title: Occurrence Download

description: A dataset containing 87 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "Geometry POLYGON((-99.96755 17.98526,-98.2861 17.96953,-98.22051 19.14676,-98.31293 19.4548,-99.7263 19.32563,-99.96755 17.98526))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Odocoileus virginianus",
 "Year 1990-2025"
 ]
}

 The dataset includes 87 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020386-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yqs57e
title: Occurrence Download

description: A dataset containing 66 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ypthima esakii",
 "Geometry POLYGON((119.300000 20.500000, 122.100000 20.500000, 122.100000 25.400000, 119.300000 25.400000, 119.300000 20.500000))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 66 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020388-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jaa4ph
title: Occurrence Download

description: A dataset containing 3676 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Cabomba caroliniana)",
 "BasisOfRecord is one of (Specimen, Literature Occurrence, Human Observation, Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1991",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 3676 records from 168 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020389-250920141307145/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.30220366
title: Data_and_Code for Ombadi et al. Increased Dependency on Extreme Precipitation in aWarmer Climate

description: Data files are stored in 4 sub-folders (ar6_regions, baseline_period, future_periods and prc_change_results). Codes are in the main folder in the format of Jupyter notebooks. Downloading the main file and unzip it in your local machine will enable running the codes on your machine.
DOI: 10.6084/m9.figshare.30220366.v1
title: Data_and_Code for Ombadi et al. Increased Dependency on Extreme Precipitation in aWarmer Climate

description: Data files are stored in 4 sub-folders (ar6_regions, baseline_period, future_periods and prc_change_results). Codes are in the main folder in the format of Jupyter notebooks. Downloading the main file and unzip it in your local machine will enable running the codes on your machine.
DOI: 10.15468/dl.y567qu
title: Occurrence Download

description: A dataset containing 10 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Kalanchoe fedtschenkoi",
 "Country is Malawi",
 "HasCoordinate is true"
 ]
}

 The dataset includes 10 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020390-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dsfv8z
title: Occurrence Download

description: A dataset containing 12 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Austrocylindropuntia pachypus)",
 "BasisOfRecord is one of (Specimen, Literature Occurrence, Human Observation, Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1991",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 12 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020391-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.