cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.z9zwnu
title: Occurrence Download

description: A dataset containing 257383 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Papaver rhoeas L.)",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "Year is greater than or equal to 1943",
 "Year is less than or equal to 2023",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil)"
 ]
 }
 }
 ]
}

 The dataset includes 257383 records from 1939 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008935-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh1392795.10fu
title: SH1392795.10FU

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/sh1392799.10fu
title: SH1392799.10FU

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/sh1392802.10fu
title: SH1392802.10FU

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/sh1392803.10fu
title: SH1392803.10FU

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.23gjtn
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"equals","key":"GADM_LEVEL_2_GID","value":"MEX.7.22_2","matchCase":false},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006009-260108223611665/datasets/export for details.
DOI: 10.15156/bio/sh1392805.10fu
title: SH1392805.10FU

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/sh1392808.10fu
title: SH1392808.10FU

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/sh1392809.10fu
title: SH1392809.10FU

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/sh1392812.10fu
title: SH1392812.10FU

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/sh1392819.10fu
title: SH1392819.10FU

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/sh1392820.10fu
title: SH1392820.10FU

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.588ch8
title: Occurrence Download

description: A dataset containing 1548 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Potentilla indica",
 "Country is Italy",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1548 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001282-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.745vz6
title: Occurrence Download

description: A dataset containing 10 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Europe",
 "TaxonKey is Kontikia ventrolineata"
 ]
}

 The dataset includes 10 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001283-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.m4kcwa
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Hylocereus undatus",
 "Country is Cuba",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001284-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.txvhmk
title: Occurrence Download

description: A dataset containing 53 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Potentilla indica",
 "Country is Croatia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 53 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001281-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.60797/irj.2025.157.20.1
title: Среднегрупповые показатели ЧСС (x± у военных инженеров-ремонтников в ходе выполнения специальных работ и комплексного теста

description: Международный научно-исследовательский журнал, Выпуск 7 (157) 2025
DOI: 10.60797/irj.2025.157.19.1
title: Индексы производства продукции сельского хозяйства по РФ и субъектам ЮФО в 2023 г.

description: Международный научно-исследовательский журнал, Выпуск 7 (157) 2025
DOI: 10.60797/irj.2025.157.19.2
title: Инновационная активность организаций, занимавшихся инновациями, по видам экономической деятельности, 2023 г.

description: Международный научно-исследовательский журнал, Выпуск 7 (157) 2025
DOI: 10.15468/dl.fbtmxv
title: Occurrence Download

description: A dataset containing 13 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Hylocereus undatus",
 "Country is Kenya",
 "HasCoordinate is true"
 ]
}

 The dataset includes 13 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001285-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vj262q
title: Occurrence Download

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

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001286-250717081556266/datasets/export for details.
DOI: 10.15468/dl.7dvkmy
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Pimpinella saxifraga rotundifolia, Pimpinella saxifraga subcordata, Pimpinella saxifraga subovata, Pimpinella saxifraga subrhombica, Pimpinella saxifraga subrotunda, Pimpinella saxifraga subtriangularis, Pimpinella saxifraga ternata, Pimpinella saxifraga triangulariovata, Pimpinella saxifraga triangularis, Pimpinella saxifraga dissecta)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen, Machine Observation)"
 ]
 }
 },
 "Continent is Europe",
 "Year is greater than or equal to 1980",
 "Year is less than or equal to 2024"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001290-250717081556266/datasets/export for details.
DOI: 10.15468/dl.eh3ftm
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Europe",
 "TaxonKey is Platydemus manokwari"
 ]
}

 The dataset includes 4 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001287-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.60797/irj.2025.157.16.2
title: Результаты расчета для низкоуглеродистой электротехнической стали

description: Международный научно-исследовательский журнал, Выпуск 7 (157) 2025
DOI: 10.5281/zenodo.16029123
title: Workflow for the isolation and characterization of  Human Milk Extracellular Vesicles (HMEVs) and their inflammatory biomarker profile

description: The attached file contains data on particle size distribution and concentration, infrared spectrum, and immunofluorescence for 10 samples of extracellular vesicles from human milk.
DOI: 10.5281/zenodo.16029124
title: Workflow for the isolation and characterization of  Human Milk Extracellular Vesicles (HMEVs) and their inflammatory biomarker profile

description: The attached file contains data on particle size distribution and concentration, infrared spectrum, and immunofluorescence for 10 samples of extracellular vesicles from human milk.
DOI: 10.15468/dl.fmgk48
title: Occurrence Download

description: A dataset containing 1319 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Malcolmia maritima"
 ]
}

 The dataset includes 1319 records from 136 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001288-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9pbutw
title: Occurrence Download

description: A dataset containing 29410 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Potentilla indica",
 "Country is Netherlands",
 "HasCoordinate is true"
 ]
}

 The dataset includes 29410 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001291-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15644547
title: AbSplice2-DNA (hg38)

description: AbSplice2-DNA predicts the probability that a variant causes aberrant splicing in a given tissue. See the publication: [link to biorxiv]. AbSplice2 is an updated version of AbSplice that we published earlier: https://www.nature.com/articles/s41588-023-01373-3.Here, we provide precomputed AbSplice2-DNA scores for 49 human tissues and all possible SNVs genome-wide for hg38. This version contains 19,274 protein coding genes.

The folder 'AbSplice_DNA_hg38_snvs' contains all scores.The folder 'AbSplice_DNA_hg38_snvs_high_scores' contains scores above 3 different cutoffs, which have approximately the same recalls as the high, medium and low cutoffs of Pangolin: 



high cutoff (0.2),

medium cutoff (0.1),

low cutoff (0.05).


AbSplice scores are tissue-specific. In case users require a single score we recommend to use the maximum AbSplice score across tissues.

AbSplice2-DNA scores can be computed from custom VCF files (including indels) with the python package 'absplice': https://github.com/gagneurlab/absplice

The uploaded files contain the following columns (for longer description see README of github repository of AbSplice):



Genomic coordinates of the variant:



chrom: Chromosome

pos: genomic position

ref: reference allele

alt: alternative allele

gene_id: Ensembl GeneID



AbSplice_DNA_{tissue}: AbSplice score for the given tissue

delta_logit_psi_{tissue}: MMSplice + SpliceMap score for a given tissue

delta_psi_{tissue}: MMSplice + SpliceMap + Ψ_ref score for a given tissue

gain_score: One of the the two scores predicted by Pangolin. The score represents probability of the variant causing an increase in splicing level

loss_score: One of the the two scores predicted by Pangolin. The score represents probability of the variant causing an decrease in splicing level

AbSplice_DNA_max: maximum AbSplice score across tissues for the given variant (this score is only provided in the files of the folder 'AbSplice_DNA_hg38_snvs_high_scores')
DOI: 10.5281/zenodo.15998820
title: AbSplice2-DNA (hg38)

description: AbSplice2-DNA predicts the probability that a variant causes aberrant splicing in a given tissue. See the publication: [link to biorxiv]. AbSplice2 is an updated version of AbSplice that we published earlier: https://www.nature.com/articles/s41588-023-01373-3.Here, we provide precomputed AbSplice2-DNA scores for 49 human tissues and all possible SNVs genome-wide for hg38. This version contains 19,274 protein coding genes.

The folder 'AbSplice_DNA_hg38_snvs' contains all scores.The folder 'AbSplice_DNA_hg38_snvs_high_scores' contains scores above 3 different cutoffs, which have approximately the same recalls as the high, medium and low cutoffs of Pangolin: 



high cutoff (0.2),

medium cutoff (0.1),

low cutoff (0.05).


AbSplice scores are tissue-specific. In case users require a single score we recommend to use the maximum AbSplice score across tissues.

AbSplice2-DNA scores can be computed from custom VCF files (including indels) with the python package 'absplice': https://github.com/gagneurlab/absplice

The uploaded files contain the following columns (for longer description see README of github repository of AbSplice):



Genomic coordinates of the variant:



chrom: Chromosome

pos: genomic position

ref: reference allele

alt: alternative allele

gene_id: Ensembl GeneID



AbSplice_DNA_{tissue}: AbSplice score for the given tissue

delta_logit_psi_{tissue}: MMSplice + SpliceMap score for a given tissue

delta_psi_{tissue}: MMSplice + SpliceMap + Ψ_ref score for a given tissue

gain_score: One of the the two scores predicted by Pangolin. The score represents probability of the variant causing an increase in splicing level

loss_score: One of the the two scores predicted by Pangolin. The score represents probability of the variant causing an decrease in splicing level

AbSplice_DNA_max: maximum AbSplice score across tissues for the given variant (this score is only provided in the files of the folder 'AbSplice_DNA_hg38_snvs_high_scores')