cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh0198550.10fu
title: SH0198550.10FU

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/sh0198551.10fu
title: SH0198551.10FU

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/sh0198552.10fu
title: SH0198552.10FU

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/sh0198553.10fu
title: SH0198553.10FU

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/sh0198554.10fu
title: SH0198554.10FU

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/sh0198555.10fu
title: SH0198555.10FU

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/sh0198556.10fu
title: SH0198556.10FU

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/sh0198557.10fu
title: SH0198557.10FU

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/sh0198558.10fu
title: SH0198558.10FU

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.21899898
title: Table S2

description: <b>Table S2. </b>Assembly statistics and NLR-Annotator based counts for 32 sweetpotato and 3 wild relative genotypes.
DOI: 10.6084/m9.figshare.21899898.v1
title: Table_4.S4

description: <strong>Table 2.S4 </strong>Assembly statistics and NLR-Annotator based counts for 32 sweetpotato and 3 wild relative genotypes.
DOI: 10.21227/yh00-bx90
title: Dependency and size knowledge graphs for npm and pypi

description: Dependency and Size Knowledge Graphs for 10979 Python packages with 597,049 versions, and 28,151 Node.js packages with 738,927 versions, each version containing size and dependency information.dataset for RED-Scenario: A Resource-Efficient Deployment Framework for Scenarios through Dependency Package Management we collect packages from vulnerable packages and the packages of regular applications. vulnerable packages come from the availability testing module. To get the packages of regular applications, We retrieve projects from GitHub written in Node.js and Python with over 10,000 stars. Then we filter those that include dependency specification files—requirement.txt for Python projects and package.json for Node.js projects. Parsing these dependency files and merging them with vulnerable packages forms the initial node of the graph, and then expanding the graph based on all versions and their sub-dependencies of the initial node. Dependency and size information are gathered from the statistical application programming interfaces of PyPI and npm. And we initialize the version availability status of all the packages we get from this process to unknown.
DOI: 10.15468/dl.rtyva7
title: Occurrence Download

description: A dataset containing 10 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Camellia candida Hung T.Chang"
 ]
}

 The dataset includes 10 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025303-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.x683hb
title: Occurrence Download

description: A dataset containing 475 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "DatasetKey is iNaturalist Research-grade Observations",
 "Geometry POLYGON((-157.88793 11.16548,-41.11207 11.16548,-41.11207 57.83452,-157.88793 57.83452,-157.88793 11.16548))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Phrynosoma cornutum (Harlan, 1825)"
 ]
}

 The dataset includes 475 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025304-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.uebzfh
title: Occurrence Download

description: A dataset containing 12 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Dopatrium dortmanna S.Moore"
 ]
}

 The dataset includes 12 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025305-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pxuyzn
title: Occurrence Download

description: A dataset containing 12110 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Dominican Republic",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Zenaida macroura (Linnaeus, 1758)"
 ]
}

 The dataset includes 12110 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025306-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.p93gmr
title: Occurrence Download

description: A dataset containing 48 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Mammillaria microhelia Werderm."
 ]
}

 The dataset includes 48 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025307-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cs3guk
title: Occurrence Download

description: A dataset containing 166 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Dopatrium longidens Skan"
 ]
}

 The dataset includes 166 records from 30 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025308-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ch3cmd
title: Occurrence Download

description: A dataset containing 1157 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Camellia caudata Wall."
 ]
}

 The dataset includes 1157 records from 61 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025309-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.28by9x
title: Occurrence Download

description: A dataset containing 738 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Lontra longicaudis (Olfers, 1818)"
 ]
}

 The dataset includes 738 records from 32 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025310-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.e5f4qe
title: Occurrence Download

description: A dataset containing 146006 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Calanidae",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 146006 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025295-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xx3gd2
title: Occurrence Download

description: A dataset containing 12 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Dopatrium dortmanna S.Moore"
 ]
}

 The dataset includes 12 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025311-241107131044228/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.21899910
title: Table S3

description: <b>Table S3.</b> NLRtracker output for each catalog of annotated NLRs in each of the 32 sweetpotato and 3 wild relative genotypes.
DOI: 10.6084/m9.figshare.21899910.v1
title: Table 4.S5

description: <strong>Table 2.S5</strong> NLRtracker output for each catalog of annotated NLRs in each of the 32 sweetpotato and 3 wild relative genotypes.
DOI: 10.15468/dl.emt6jh
title: Occurrence Download

description: A dataset containing 20 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Camellia chrysanthoides Hung T.Chang"
 ]
}

 The dataset includes 20 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025313-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vrhj8e
title: Occurrence Download

description: A dataset containing 738 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Lontra longicaudis (Olfers, 1818)"
 ]
}

 The dataset includes 738 records from 32 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025314-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pvsa3d
title: Occurrence Download

description: A dataset containing 60319 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Eucalanidae",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 60319 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025312-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.v9gbcz
title: Occurrence Download

description: A dataset containing 13 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Camellia chungkingensis Hung T.Chang"
 ]
}

 The dataset includes 13 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025316-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.c2kph2
title: Occurrence Download

description: A dataset containing 10013 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Rhincalanidae",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 10013 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025315-241107131044228/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.21970805.v1
title: Table 4.S6

description: <strong>Table 4.S6</strong> Primers used for enrichment efficiency check qPCR.
DOI: 10.15468/dl.yqh25h
title: Occurrence Download

description: A dataset containing 87 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Dominican Republic",
 "TaxonKey is Eptesicus fuscus (Palisot de Beauvois, 1796)"
 ]
}

 The dataset includes 87 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025318-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.sc7bsy
title: Occurrence Download

description: A dataset containing 22913 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Eurema hecabe (Linnaeus, 1758)"
 ]
}

 The dataset includes 22913 records from 183 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025317-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.v3539f
title: Occurrence Download

description: A dataset containing 854 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Korea, Republic of",
 "TaxonKey is Eurema hecabe (Linnaeus, 1758)"
 ]
}

 The dataset includes 854 records from 21 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025320-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.83877b
title: Occurrence Download

description: A dataset containing 56872 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Aetideidae",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 56872 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025319-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nsf4dv
title: Occurrence Download

description: A dataset containing 36439 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Euchaetidae",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 36439 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025321-241107131044228/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.21899877
title: Table S4

description: <b>Table S4 </b>Gene model naming scheme. This table shows our abbreviation scheme and our fasta header gene ID scheme. Notice that for example a gene id "iba_apa00730g01.1" includes the following information: iba = <i>Ipomoea batatas</i>; apa= genotype apache; 00730 = contig number; g01= specifies the gene number in the respective contig ex. g01 means this is the first gene in the contig; .1 = remind us that this gene has a transcript sequence associated in a different file
DOI: 10.6084/m9.figshare.21899877.v1
title: Table_4.S2

description: <strong>Table 2.S2 </strong>Gene model naming scheme. This table shows our abbreviation scheme and our fasta header gene ID scheme. Notice that for example a gene id "iba_apa00730g01.1" includes the following information: iba = <em>Ipomoea batatas</em>; apa= genotype apache; 00730 = contig number; g01= specifies the gene number in the respective contig ex. g01 means this is the first gene in the contig; .1 = remind us that this gene has a transcript sequence associated in a different file