cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh0167455.10fu
title: SH0167455.10FU

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/sh0167456.10fu
title: SH0167456.10FU

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/sh0167457.10fu
title: SH0167457.10FU

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: 10.5281/zenodo.18160106
title: Crop classification map of China's Hetao Plain from 2000 to 2024

description: Using the Landsat Level 2 surface reflectance data in the Google Earth Engine (GEE) platform, we generated 30-meter resolution crop classification maps (wheat, maize, sunflower, and melon-vegetables) for China's Hetao Plain from 2000 to 2024.  We used  a phenology-assisted supervised remote sensing method for crop classification. Initial training samples are extracted using NDVI time-series decision rules, followed by spatial filtering to optimize sample quality. A random forest model is then applied to achieve high-accuracy crop classification. Validation based on field survey points shows an overall accuracy exceeding 90% and a Kappa coefficient greater than 0.88, confirming the effectiveness and reliability of the approach.
DOI: 10.5281/zenodo.18160107
title: Crop classification map of China's Hetao Plain from 2000 to 2024

description: Using the Landsat Level 2 surface reflectance data in the Google Earth Engine (GEE) platform, we generated 30-meter resolution crop classification maps (wheat, maize, sunflower, and melon-vegetables) for China's Hetao Plain from 2000 to 2024.  We used  a phenology-assisted supervised remote sensing method for crop classification. Initial training samples are extracted using NDVI time-series decision rules, followed by spatial filtering to optimize sample quality. A random forest model is then applied to achieve high-accuracy crop classification. Validation based on field survey points shows an overall accuracy exceeding 90% and a Kappa coefficient greater than 0.88, confirming the effectiveness and reliability of the approach.
DOI: 10.15156/bio/sh0167458.10fu
title: SH0167458.10FU

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/sh0167459.10fu
title: SH0167459.10FU

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/sh0167460.10fu
title: SH0167460.10FU

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/sh0167461.10fu
title: SH0167461.10FU

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/sh0167462.10fu
title: SH0167462.10FU

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/sh0167463.10fu
title: SH0167463.10FU

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.4g7zdw
title: Occurrence Download

description: A dataset containing 3142 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-67.40237 -31.5464,-67.67039 -31.54437,-68.07308 -31.76203,-68.45495 -31.38588,-68.72315 -31.40915,-68.77519 -31.56699,-68.60934 -31.92548,-68.96004 -32.97057,-69.07001 -32.9942,-69.13457 -34.00337,-69.05717 -34.40316,-69.15221 -35.04822,-69.06747 -35.30603,-68.76941 -35.28336,-68.46355 -35.43096,-68.30585 -35.6336,-68.31034 -36.59164,-68.58292 -36.98977,-69.0154 -37.23276,-69.16405 -37.25157,-69.87102 -36.90816,-69.80429 -37.32823,-69.65938 -37.23847,-69.60328 -37.40856,-69.38041 -37.34589,-69.28551 -37.43336,-69.65019 -37.63399,-69.48267 -38.09519,-69.54978 -38.29497,-69.84184 -37.65297,-70.1252 -37.5634,-69.86114 -38.13827,-70.16594 -38.57789,-69.9701 -38.50114,-69.94275 -38.58444,-70.08502 -38.7061,-69.98628 -39.2288,-69.71134 -39.28327,-69.63869 -39.39301,-69.99002 -39.61783,-70.1551 -39.97609,-69.25087 -40.04919,-68.94548 -39.95589,-68.87655 -40.08775,-68.46937 -40.04701,-67.57728 -40.36947,-67.49109 -40.63687,-67.59478 -40.77876,-67.57709 -41.22433,-67.40198 -41.16929,-67.19201 -40.91615,-66.61165 -40.96248,-66.33221 -40.83229,-66.22399 -40.90658,-66.15343 -41.69108,-66.35229 -41.64886,-66.6599 -41.84568,-67.35981 -41.72492,-67.87383 -42.19278,-67.66147 -42.41926,-67.12017 -42.41867,-67.02067 -42.64042,-67.03417 -42.96615,-67.49484 -43.2642,-67.53029 -43.57045,-67.37602 -43.93042,-67.06436 -44.23088,-66.19915 -44.06622,-65.35108 -43.7381,-64.98955 -43.26554,-64.32442 -42.99434,-65.03977 -42.74874,-64.62918 -42.49264,-64.46028 -42.2385,-64.8927 -42.1757,-65.07944 -41.99626,-64.99936 -41.52276,-65.17956 -41.00057,-65.11699 -40.82852,-64.90486 -40.76467,-65.00521 -40.71482,-64.73581 -40.78182,-64.88769 -40.83216,-64.08614 -40.99007,-63.77589 -41.15868,-62.89587 -41.08125,-63.28338 -40.73869,-63.36318 -40.46596,-64.3477 -38.85781,-65.60263 -37.59427,-65.75166 -37.4764,-66.30582 -37.35919,-66.56277 -37.09302,-66.83681 -36.37452,-66.55083 -36.04997,-66.38536 -35.30252,-66.37563 -35.08981,-66.66869 -34.65112,-66.34645 -34.37277,-66.41436 -34.11078,-66.33353 -34.02137,-66.35028 -33.55153,-66.45165 -33.5524,-66.50515 -33.42189,-66.72417 -33.52959,-66.9076 -33.87145,-66.97524 -33.77053,-67.0742 -33.55693,-66.99214 -33.2468,-67.10037 -33.1407,-67.18722 -32.40825,-67.41022 -31.88109,-67.40237 -31.5464),(-68.82523 -37.61844,-68.71692 -37.69503,-68.72088 -37.84423,-68.94755 -37.93908,-69.20474 -37.88936,-69.0957 -37.76809,-69.18161 -37.66668,-68.82523 -37.61844))",
 "HasCoordinate is true",
 "TaxonKey is Reptilia",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 3142 records from 26 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0082977-200221144449610/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wurpne
title: Occurrence Download

description: A dataset containing 173575 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Hieracium pilosella L."
 ]
}

 The dataset includes 173575 records from 397 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0219388-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9p3s8r
title: Occurrence Download

description: A dataset containing 20225384 species occurrences available in GBIF matching the query:
{
 "Country" : [
 "is Mexico"
 ]
}

 The dataset includes 20225384 records from 2867 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0073293-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.a4a9tr
title: Occurrence Download

description: A dataset containing 275 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Elaeocarpus angustifolius Blume",
 "HasGeospatialIssue is FALSE",
 "Year is 2000,2022",
 "HasCoordinate is TRUE",
 "BasisOfRecord is Human Observation"
 ]
}

 The dataset includes 275 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0138515-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jmayzr
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-68.40609 44.2184,-68.22181 44.21003,-68.11201 44.3033,-68.18838 44.448,-68.48604 44.38669,-68.40609 44.2184))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Alces Gray, 1821",
 "Year 1998-2022"
 ]
}

 The dataset includes 2 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0141596-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.27dk5s
title: Occurrence Download

description: A dataset containing 1140 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Ricotia lunaria (L.) DC."
 ]
}

 The dataset includes 1140 records from 44 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0147803-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bx3r4c
title: Occurrence Download

description: A dataset containing 134 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Entandrophragma angolense (Welw.) C.DC.",
 "HasGeospatialIssue is FALSE",
 "Year is 2000,2022",
 "HasCoordinate is TRUE",
 "BasisOfRecord is Human Observation"
 ]
}

 The dataset includes 134 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0138516-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ywkrbn
title: Occurrence Download

description: A dataset containing 1404 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ellida Grote, 1887",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 1404 records from 34 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0130225-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4fnnae
title: Occurrence Download

description: A dataset containing 10955 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Biscutella valentina (L.) Heywood"
 ]
}

 The dataset includes 10955 records from 99 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0147790-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4c4a59
title: Occurrence Download

description: A dataset containing 7385 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-10.55429 40.18950,33.66385 40.18950,33.66385 57.90686,-10.55429 57.90686,-10.55429 40.18950))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Aurelia aurita (Linnaeus, 1758)"
 ]
}

 The dataset includes 7385 records from 111 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0138519-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.x67b2w
title: Occurrence Download

description: A dataset containing 18 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Allodonta plebeja (Oberthür, 1880)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 18 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0130214-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zehx9r
title: Occurrence Download

description: A dataset containing 95 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Ricotia carnosula Boiss. & Heldr."
 ]
}

 The dataset includes 95 records from 25 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0147799-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hmqgy6
title: Occurrence Download

description: A dataset containing 64 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Eschweilera sagotiana Miers",
 "HasGeospatialIssue is FALSE",
 "Year is 2000,2022",
 "HasCoordinate is TRUE",
 "BasisOfRecord is Human Observation"
 ]
}

 The dataset includes 64 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0138538-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.y8jy5d
title: Occurrence Download

description: A dataset containing 162 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Besaia Walker, 1865",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 162 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0130215-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pmypch
title: Occurrence Download

description: A dataset containing 16 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Ricotia varians B.L.Burtt"
 ]
}

 The dataset includes 16 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0147806-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rnht8c
title: Occurrence Download

description: A dataset containing 62 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Eperua grandiflora (Aubl.) Baill.",
 "HasGeospatialIssue is FALSE",
 "Year is 2000,2022",
 "HasCoordinate is TRUE",
 "BasisOfRecord is Human Observation"
 ]
}

 The dataset includes 62 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0138524-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.upc8wr
title: Occurrence Download

description: A dataset containing 85 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Boechera bodiensis (Rollins) Al-Shehbaz"
 ]
}

 The dataset includes 85 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0147812-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.