cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.17228253
title: Table 2 in New Records of Stoneflies (Insecta: Plecoptera) in National Park Shar Mountain (R. North Macedonia)

description: Table 2. Taxonomic ranking and distribution of stoneflies in four localities on Shar Mountain. Abbreviations: m - male specimen(s); f - female specimen(s); BSH– Beating sheet; EN – entomological net.
Phylum: ArthropodaClass: InsectaOrder: PlecopteraFamily: PerlodidaeGenus: Isoperla Banks, 19061. Species: Isoperla bosnica Aubert, 1964Material examined: L2, (EN), 24.04.2023, 2 m2. Species: Isoperla albanica Aubert, 1964Material examined: L3 Stream on the way to Mazdracha, (EN), 18.06.2021, 3 f, 2 mFamily: NemouridaeGenus: Nemoura Latreille, 17963. Species: Nemoura uncinata Despax, 1934Material examined: L1, (BSH), 08.05.2021, 2 f4. Species: Nemoura asceta Murányi, 2007Material examined: L4, (BSH), 07.06.2023, 1 f, 1 m
description: Published as part of Rušiti-Dauti, Ajten, Slavevska-Stamenković, Valentina, Sivec, Ignac, Ibrahimi, Halil, Iseni, Gazmend, Bilalli, Astrit, Cvetkovska-Gjorgjievska, Aleksandra & Hinić-Jordanovska, Jelena, 2024, New Records of Stoneflies (Insecta: Plecoptera) in National Park Shar Mountain (R. North Macedonia), pp. 194 in Ecologica Montenegrina 75 on page 194, DOI: 10.37828/em.2024.75.18, http://zenodo.org/record/13248319
DOI: 10.5281/zenodo.17228254
title: Table 2 in New Records of Stoneflies (Insecta: Plecoptera) in National Park Shar Mountain (R. North Macedonia)

description: Table 2. Taxonomic ranking and distribution of stoneflies in four localities on Shar Mountain. Abbreviations: m - male specimen(s); f - female specimen(s); BSH– Beating sheet; EN – entomological net.
Phylum: ArthropodaClass: InsectaOrder: PlecopteraFamily: PerlodidaeGenus: Isoperla Banks, 19061. Species: Isoperla bosnica Aubert, 1964Material examined: L2, (EN), 24.04.2023, 2 m2. Species: Isoperla albanica Aubert, 1964Material examined: L3 Stream on the way to Mazdracha, (EN), 18.06.2021, 3 f, 2 mFamily: NemouridaeGenus: Nemoura Latreille, 17963. Species: Nemoura uncinata Despax, 1934Material examined: L1, (BSH), 08.05.2021, 2 f4. Species: Nemoura asceta Murányi, 2007Material examined: L4, (BSH), 07.06.2023, 1 f, 1 m
description: Published as part of Rušiti-Dauti, Ajten, Slavevska-Stamenković, Valentina, Sivec, Ignac, Ibrahimi, Halil, Iseni, Gazmend, Bilalli, Astrit, Cvetkovska-Gjorgjievska, Aleksandra & Hinić-Jordanovska, Jelena, 2024, New Records of Stoneflies (Insecta: Plecoptera) in National Park Shar Mountain (R. North Macedonia), pp. 194 in Ecologica Montenegrina 75 on page 194, DOI: 10.37828/em.2024.75.18, http://zenodo.org/record/13248319
DOI: 10.15468/dl.kervs4
title: Occurrence Download

description: A dataset containing 138613 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Sander lucioperca)",
 "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 138613 records from 284 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030609-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.j9dwh4
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Navicula clavata",
 "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 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030636-250920141307145/datasets/export for details.
DOI: 10.7910/dvn/zppziy
title: Ann Latsky Nursing College (Johannesburg) 2025/2026 ADMISSION FORM IS ON SALES! CALL DR. JONAS ON +27789535949 TO APPLY AND FURTHER ADMISSION GUIDELINES BEFORE THE CLOSING DATE. CALL (+27789535949).

description: Ann Latsky Nursing College (Johannesburg) 2025/2026 ADMISSION FORM IS ON SALES! CALL DR. JONAS ON +27789535949 TO APPLY AND FURTHER ADMISSION GUIDELINES BEFORE THE CLOSING DATE. CALL (+27789535949).
description: Ann Latsky Nursing College (Johannesburg) 2025/2026 ADMISSION FORM IS ON SALES! CALL DR. JONAS ON +27789535949 TO APPLY AND FURTHER ADMISSION GUIDELINES BEFORE THE CLOSING DATE. CALL (+27789535949).
DOI: 10.15468/dl.xkvv42
title: Occurrence Download

description: A dataset containing 69 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Malacopteron albogulare",
 "Country is one of (Brunei Darussalam, Indonesia, Philippines, Timor-Leste, Singapore)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 69 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030638-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5066/p13va3hv
title: Validation of gridded precipitation datasets for flood-typing in six basins in the contiguous U.S.

description: The U.S. Geological Survey (USGS) and the U.S. Army Corps of Engineers (USACE) are collaborating with the U.S. Federal Emergency Management Agency (FEMA) on improving flood-frequency analysis methods to account for mixed populations arising from different flood causal mechanisms. Precipitation data at different timescales are widely used in flood-typing studies. Various gridded precipitation datasets were validated by comparison against station observations to support flood-typing over six pilot regions in the contiguous U.S. (CONUS), where flood-typing approaches will be initially tested. The six pilot regions are (1) the Delaware River, (2) the Iowa River, (3) Puget Sound, (4) the Red River of the North, (5) the Trinity River, and (6) the Upper Colorado River. Various precipitation datasets derived from station, radar, reanalysis data, or combinations thereof, were validated in terms of their ability to capture the spatiotemporal characteristics of daily precipitation as well as multi-day (1–14 day) extreme precipitation events. The datasets were validated by comparison against gage data from the NOAA Global Historical Climatology Network daily (GHCNd) for the periods 1981-2013 and 1998-2013. Taylor diagrams and the Kling-Gupta efficiency (KGE) metric were used for validation.

This data release consists of three tables in EXCEL spreadsheet format:

Normalized Taylor diagram statistics for daily precipitation by season in each pilot region, for the two periods (All_precipitation_statistics.xlsx).
Normalized Taylor diagram statistics for multi-day extreme precipitation in each pilot region, for the two periods (Extreme_precipitation_statistics.xlsx).
List of GHCNd stations used for evaluation of daily precipitation by season and for evaluation of multi-day precipitation performance in each pilot region, for the two periods (GHCND_stations.xlsx).
DOI: 10.15468/dl.5pw69e
title: Occurrence Download

description: A dataset containing 18129 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is North America",
 "OccurrenceStatus is Present",
 "TaxonKey is Sequoia"
 ]
}

 The dataset includes 18129 records from 155 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030639-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7scqdt
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Blumea lacera",
 "Country is Chad",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030640-250920141307145/datasets/export for details.
DOI: 10.15468/dl.8wy87t
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Blumea lacera",
 "Country is Singapore",
 "HasCoordinate is true"
 ]
}

 The dataset includes 4 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030642-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.37bybv
title: Occurrence Download

description: A dataset containing 304 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Sarcotragus foetidus)",
 "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 304 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030643-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.n7893f
title: Occurrence Download

description: A dataset containing 2627 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (Ecuador, Colombia, Brazil, Guatemala)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Gymnophiona"
 ]
}

 The dataset includes 2627 records from 130 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030641-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8pbrnj
title: Occurrence Download

description: A dataset containing 481 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Navicula cryptocephala",
 "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 481 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030645-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tt3afr
title: Occurrence Download

description: A dataset containing 42 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is ARG.6_1",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Neltuma alba"
 ]
}

 The dataset includes 42 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030646-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mup8qn
title: Occurrence Download

description: A dataset containing 490 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Malacopteron cinereum",
 "Country is one of (Brunei Darussalam, Indonesia, Philippines, Timor-Leste, Singapore)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 490 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030647-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3dy3b7
title: Occurrence Download

description: A dataset containing 191654 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Trachemys scripta)",
 "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 191654 records from 913 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030615-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yaf8cf
title: Occurrence Download

description: A dataset containing 4301 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Peru",
 "OccurrenceStatus is Present",
 "TaxonKey is Muscisaxicola rufivertex Orbigny & Lafresnaye, 1837"
 ]
}

 The dataset includes 4301 records from 23 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0069439-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh0190360.10fu
title: SH0190360.10FU

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/sh0190361.10fu
title: SH0190361.10FU

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/sh0190362.10fu
title: SH0190362.10FU

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/sh0190363.10fu
title: SH0190363.10FU

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/sh0190364.10fu
title: SH0190364.10FU

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/sh0190365.10fu
title: SH0190365.10FU

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/sh0190366.10fu
title: SH0190366.10FU

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/sh0190367.10fu
title: SH0190367.10FU

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/sh0190368.10fu
title: SH0190368.10FU

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.