cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh0181699.10fu
title: SH0181699.10FU

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/sh0181700.10fu
title: SH0181700.10FU

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/sh0181701.10fu
title: SH0181701.10FU

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.18195089
title: Supplementary Materials for: Ferroptosis–Inflammation Gene Signature Reveals Diagnostic Biomarkers and Immune Subtypes in Sepsis-Induced Cardiomyopathy

description: This repository contains all supplementary materials associated with the manuscript “Ferroptosis–Inflammation Gene Signature Reveals Diagnostic Biomarkers and Immune Subtypes in Sepsis-Induced Cardiomyopathy”. The files include supplementary figures and tables supporting transcriptomic analyses, diagnostic model construction, immune infiltration profiling, and experimental validation.
DOI: 10.15156/bio/sh0181702.10fu
title: SH0181702.10FU

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.18195088
title: Supplementary Materials for: Ferroptosis–Inflammation Gene Signature Reveals Diagnostic Biomarkers and Immune Subtypes in Sepsis-Induced Cardiomyopathy

description: This repository contains all supplementary materials associated with the manuscript “Ferroptosis–Inflammation Gene Signature Reveals Diagnostic Biomarkers and Immune Subtypes in Sepsis-Induced Cardiomyopathy”. The files include supplementary figures and tables supporting transcriptomic analyses, diagnostic model construction, immune infiltration profiling, and experimental validation.
DOI: 10.15156/bio/sh0181703.10fu
title: SH0181703.10FU

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/sh0181704.10fu
title: SH0181704.10FU

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/sh0181705.10fu
title: SH0181705.10FU

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/sh0181706.10fu
title: SH0181706.10FU

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/sh0181707.10fu
title: SH0181707.10FU

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: 10.13140/rg.2.2.17072.89606
title: 647 Sequenced Cases as of 06DEC2021 VOC Omicron GR/484A (B.1.1.529) First Detected Botswana/Hong Kong/South Africa - now including Italy/Israel/Belgium/Australia/England/Austria/Canada/Netherlands/Germany/Réunion/Spain/Czech Republic/Sweden/Scotland/Portugal/Brazil/Ghana/Belgium/Japan/Ireland/South Korea/India/Norway/USA/Switzerland/Denmark/Singapore/Nigeria/Mexico/Sri Lanka/Maldives/Thailand/Greece/Romania/Croatia/Finland/Nepal
DOI: 10.13140/rg.2.2.22944.92167
title: EPA Site categories for preparing and coding pesticide labeling
DOI: 10.13140/rg.2.2.10204.72325
title: Interface de charge d'une batterie Li-ion à partir d'un dispositif multi sources : Photovoltaïque et Eolien
DOI: 10.5281/zenodo.17395798
title: Open Data by Martinus Nathanael for Mobile Health Application UX Research in Indonesia
DOI: 10.13140/rg.2.2.15457.43368
title: 35 Sequenced Cases in the United States of America as of 07DEC2021 VOC Omicron GR/484A (B.1.1.529) States including - FL/LA/GA/MD/WA/MO/CO/PA/CA/UT/NY/NE/HI/MA/MN/WI/CT
DOI: 10.13140/rg.2.2.21775.10409
title: Dark Horse Final Copy FR Paper: MGT1101-Sec36 Leadership and Decision-Making Thought Leadership Presentation
DOI: 10.5281/zenodo.15188466
title: Dataset of used studies with key data extracted

description: This is the dataset with all the information of the studies I used for writting my Literature Thesis for my MSc Analytical Chemistry for the UvA/VU. It contains the title of all used studies and has the data, location between Arctic/Antarctic and exact location, the analyzed matrix, the analysis instrument and a small summary. The other sheets are used for data visualisation.
DOI: 10.5281/zenodo.15188465
title: Datasets used for literature study.

description: This is the dataset with all the information of the studies I used for writting my Literature Thesis for my MSc Analytical Chemistry for the UvA/VU. It contains the title of all used studies and has the data, location between Arctic/Antarctic and exact location, the analyzed matrix, the analysis instrument and a small summary. The other sheets are used for data visualisation. The second file contains all the CEAC chemicals found and shows the Smiles, CAS number, molecular formula, molecular weight, name, citation rate, Log Koc, mobility, half-life and persistence. It also shows the layout used in the literature review. In this document, pdf names are used. Reffer to the literature study for citations of the used studies.
DOI: 10.5281/zenodo.15188522
title: Datasets used for literature study.

description: This is the dataset with all the information of the studies I used for writting my Literature Thesis for my MSc Analytical Chemistry for the UvA/VU. It contains the title of all used studies and has the data, location between Arctic/Antarctic and exact location, the analyzed matrix, the analysis instrument and a small summary. The other sheets are used for data visualisation. The second file contains all the CEAC chemicals found and shows the Smiles, CAS number, molecular formula, molecular weight, name, citation rate, Log Koc, mobility, half-life and persistence. It also shows the layout used in the literature review. In this document, pdf names are used. Reffer to the literature study for citations of the used studies.
DOI: 10.15468/dl.42zvsm
title: Occurrence Download

description: A dataset containing 6297 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is eDNA along Houdong riverine zonation in Taiwan"
 ]
}

 The dataset includes 6297 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001916-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qbtrm4
title: Occurrence Download

description: A dataset listing the 6 species recorded in GBIF matching the query:
{
 "DatasetKey" : [
 "is Sea turtle sightings in Taiwan | 台灣海龜目擊紀錄"
 ]
}

 The dataset's 6 records were derived from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001892-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.w3b7vu
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Eleocharis paradoxa Y.D.Chen"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001917-241107131044228/datasets/export for details.
DOI: 10.15468/dl.cr43uv
title: Occurrence Download

description: A dataset listing the 2119 species recorded in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON((121.93155 24.82559,121.97126 24.82559,121.97126 24.85673,121.93155 24.85673,121.93155 24.82559))"
 ]
}

 The dataset's 2119 records were derived from 33 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001896-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xr7zug
title: Occurrence Download

description: A dataset containing 9 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Grewia welwitschii Burret",
 "Continent is Africa"
 ]
}

 The dataset includes 9 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001918-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.r6pcsr
title: Occurrence Download

description: A dataset containing 204462 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON ((134.7183 34.31863, 135.8511 34.31863, 135.8511 35.08532, 134.7183 35.08532, 134.7183 34.31863))",
 "Year is greater than or equal to 2013",
 "HasGeospatialIssue is false",
 "TaxonKey is Aves",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen, Specimen)"
 ]
 }
 }
 ]
}

 The dataset includes 204462 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001900-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rdf8ym
title: Occurrence Download

description: A dataset containing 495 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Eleocharis mitracarpa Steud."
 ]
}

 The dataset includes 495 records from 50 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001919-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bvr7gn
title: Occurrence Download

description: A dataset containing 488 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Guibourtia coleosperma (Benth.) J.Léonard",
 "Continent is Africa"
 ]
}

 The dataset includes 488 records from 33 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001921-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34740/kaggle/dsv/9840251
title: Ecological Health Dataset
DOI: 10.15468/dl.9magyy
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Eleocharis qinghaiensis Y.D.Chen"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001927-241107131044228/datasets/export for details.
DOI: 10.15468/dl.5razto
title: Occurrence Download

description: A dataset containing 69 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Alsophis elegans (Tschudi, 1845)"
 ]
}

 The dataset includes 69 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005787-160526112335914/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fw6w77
title: Occurrence Download

description: A dataset containing 225 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Cuscuta exaltata Engelm."
 ]
}

 The dataset includes 225 records from 30 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0154926-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pwzprg
title: Occurrence Download

description: A dataset containing 513 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Podismopsis keisti (Nadig, 1989)",
 "Country is Switzerland"
 ]
}

 The dataset includes 513 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005787-160910150852091/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fztbt7
title: Occurrence Download

description: A dataset containing 84 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Cuscuta gigantea Griff."
 ]
}

 The dataset includes 84 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0154932-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7qhhxx
title: Occurrence Download

description: A dataset containing 145 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Engraulis ringens Jenyns, 1842"
 ]
}

 The dataset includes 145 records from 22 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005787-170714134226665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xhxmmy
title: Occurrence Download

description: A dataset containing 146 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Prionailurus planiceps (Vigors & Horsfield, 1827)"
 ]
}

 The dataset includes 146 records from 27 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0154936-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jqot43
title: Occurrence Download

description: A dataset containing 31 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Cryptanthus beuckeri É.Morren",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 31 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005787-170826194755519/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6749p9
title: Occurrence Download

description: A dataset containing 45 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Cuscuta globulosa Benth."
 ]
}

 The dataset includes 45 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0154938-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5vu76o
title: Occurrence Download

description: A dataset containing 91 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pongo abelii Lesson, 1827"
 ]
}

 The dataset includes 91 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005787-171002173027117/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.