cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.7797441
title: S68 | HSDBTPS | Transformation Products Extracted from HSDB Content in PubChem

description: This is the collection associated with list S68 HSDBTPS Transformation Products Extracted from HSDB Content in PubChem on the NORMAN Suspect List Exchange. https://www.norman-network.com/nds/SLE/ HSDBTPS is a list of metabolites / transformation products extracted from the "Metabolites/Metabolism" section from HSDB (Hazardous Substance Data Bank) in PubChem (https://pubchem.ncbi.nlm.nih.gov/source/11933). Dataset DOI: 10.5281/zenodo.3827487. Entries automatically extracted from HSDB are manually validated to remove mismatching CIDs, and add additional CIDs not captured using the descriptions provided. Files are created with a default to not import any data until this has been checked. Please report any mismatches, despite best efforts it is possible that errors are present, all files are under version control so that entries can be corrected/updated/enhanced over time and recommitted. Code associated with this deposit is located here: https://git-r3lab.uni.lu/eci/pubchem/-/tree/master/annotations/tps/ Updates: 16 May 2020: Added the source file (extract of all HSDB Metabolites/Metabolism entries as is from JSON file), plus an updated S68_HSDBTPS_StructInfoOnly.csv with one new structure and renamed to include S68, plus the first draft of the Transformations table. 28 May 2020: added InChIKey and DIXSID files. 11 June 2020: added updated Transformations and Structure files to contain new CIDs and resulting reactions from new PubChem registrations. Dec 23, 2022: first dataset from Emma Palm added, using her TP curation app. DTXSID file dropped. 23 Mar 2023: added Biosystem and Enzyme columns, filling in biosystem where appropriate. 24 Mar 2023: new azo dye reactions from Emma Palm added. 1 Apr 2023: more azo dye reactions from Emma Palm. 4 Apr 2023: added new CIDs
description: NOTE: Work in progress! Files and formats are being actively developed with PubChem and are subject to change
DOI: 10.5281/zenodo.8087047
title: S68 | HSDBTPS | Transformation Products Extracted from HSDB Content in PubChem

description: This is the collection associated with list S68 HSDBTPS Transformation Products Extracted from HSDB Content in PubChem on the NORMAN Suspect List Exchange. https://www.norman-network.com/nds/SLE/ HSDBTPS is a list of metabolites / transformation products extracted from the "Metabolites/Metabolism" section from HSDB (Hazardous Substance Data Bank) in PubChem (https://pubchem.ncbi.nlm.nih.gov/source/11933). Dataset DOI: 10.5281/zenodo.3827487. Entries automatically extracted from HSDB are manually validated to remove mismatching CIDs, and add additional CIDs not captured using the descriptions provided. Files are created with a default to not import any data until this has been checked. Please report any mismatches, despite best efforts it is possible that errors are present, all files are under version control so that entries can be corrected/updated/enhanced over time and recommitted. Code associated with this deposit is located here: https://git-r3lab.uni.lu/eci/pubchem/-/tree/master/annotations/tps/ Updates: 16 May 2020: Added the source file (extract of all HSDB Metabolites/Metabolism entries as is from JSON file), plus an updated S68_HSDBTPS_StructInfoOnly.csv with one new structure and renamed to include S68, plus the first draft of the Transformations table. 28 May 2020: added InChIKey and DIXSID files. 11 June 2020: added updated Transformations and Structure files to contain new CIDs and resulting reactions from new PubChem registrations. Dec 23, 2022: first dataset from Emma Palm added, using her TP curation app. DTXSID file dropped. 23 Mar 2023: added Biosystem and Enzyme columns, filling in biosystem where appropriate. 24 Mar 2023: new azo dye reactions from Emma Palm added. 1 Apr 2023: more azo dye reactions from Emma Palm. 4 Apr 2023: added new CIDs. 27 June 2023: added many new substances, including new CIDs (transformations to follow later).
description: NOTE: Work in progress! Files and formats are being actively developed with PubChem and are subject to change
DOI: 10.5281/zenodo.8092000
title: S68 | HSDBTPS | Transformation Products Extracted from HSDB Content in PubChem

description: This is the collection associated with list S68 HSDBTPS Transformation Products Extracted from HSDB Content in PubChem on the NORMAN Suspect List Exchange. https://www.norman-network.com/nds/SLE/ HSDBTPS is a list of metabolites / transformation products extracted from the "Metabolites/Metabolism" section from HSDB (Hazardous Substance Data Bank) in PubChem (https://pubchem.ncbi.nlm.nih.gov/source/11933). Dataset DOI: 10.5281/zenodo.3827487. Entries automatically extracted from HSDB are manually validated to remove mismatching CIDs, and add additional CIDs not captured using the descriptions provided. Files are created with a default to not import any data until this has been checked. Please report any mismatches, despite best efforts it is possible that errors are present, all files are under version control so that entries can be corrected/updated/enhanced over time and recommitted. Code associated with this deposit is located here: https://git-r3lab.uni.lu/eci/pubchem/-/tree/master/annotations/tps/ Updates: 16 May 2020: Added the source file (extract of all HSDB Metabolites/Metabolism entries as is from JSON file), plus an updated S68_HSDBTPS_StructInfoOnly.csv with one new structure and renamed to include S68, plus the first draft of the Transformations table. 28 May 2020: added InChIKey and DIXSID files. 11 June 2020: added updated Transformations and Structure files to contain new CIDs and resulting reactions from new PubChem registrations. Dec 23, 2022: first dataset from Emma Palm added, using her TP curation app. DTXSID file dropped. 23 Mar 2023: added Biosystem and Enzyme columns, filling in biosystem where appropriate. 24 Mar 2023: new azo dye reactions from Emma Palm added. 1 Apr 2023: more azo dye reactions from Emma Palm. 4 Apr 2023: added new CIDs. 27 June 2023: added many new substances, including new CIDs. 28 June 2023 added transformations - some CIDs are NA (awaiting deposition).
description: NOTE: Work in progress! Files and formats are being actively developed with PubChem and are subject to change
DOI: 10.5281/zenodo.8098853
title: S68 | HSDBTPS | Transformation Products Extracted from HSDB Content in PubChem

description: This is the collection associated with list S68 HSDBTPS Transformation Products Extracted from HSDB Content in PubChem on the NORMAN Suspect List Exchange. https://www.norman-network.com/nds/SLE/ HSDBTPS is a list of metabolites / transformation products extracted from the "Metabolites/Metabolism" section from HSDB (Hazardous Substance Data Bank) in PubChem (https://pubchem.ncbi.nlm.nih.gov/source/11933). Dataset DOI: 10.5281/zenodo.3827487. Entries automatically extracted from HSDB are manually validated to remove mismatching CIDs, and add additional CIDs not captured using the descriptions provided. Files are created with a default to not import any data until this has been checked. Please report any mismatches, despite best efforts it is possible that errors are present, all files are under version control so that entries can be corrected/updated/enhanced over time and recommitted. Code associated with this deposit is located here: https://gitlab.lcsb.uni.lu/eci/pubchem/-/tree/master/annotations/tps/ Updates: 16 May 2020: Added the source file (extract of all HSDB Metabolites/Metabolism entries as is from JSON file), plus an updated S68_HSDBTPS_StructInfoOnly.csv with one new structure and renamed to include S68, plus the first draft of the Transformations table. 28 May 2020: added InChIKey and DIXSID files. 11 June 2020: added updated Transformations and Structure files to contain new CIDs and resulting reactions from new PubChem registrations. Dec 23, 2022: first dataset from Emma Palm added, using her TP curation app. DTXSID file dropped. 23 Mar 2023: added Biosystem and Enzyme columns, filling in biosystem where appropriate. 24 Mar 2023: new azo dye reactions from Emma Palm added. 1 Apr 2023: more azo dye reactions from Emma Palm. 4 Apr 2023: added new CIDs. 27 June 2023: added many new substances, including new CIDs. 28 June 2023 added transformations, 30 June 2023 added new CIDs.
description: NOTE: Work in progress! Files and formats are being actively developed with PubChem and are subject to change
DOI: 10.5281/zenodo.8134227
title: S68 | HSDBTPS | Transformation Products Extracted from HSDB Content in PubChem

description: This is the collection associated with list S68 HSDBTPS Transformation Products Extracted from HSDB Content in PubChem on the NORMAN Suspect List Exchange. https://www.norman-network.com/nds/SLE/ HSDBTPS is a list of metabolites / transformation products extracted from the "Metabolites/Metabolism" section from HSDB (Hazardous Substance Data Bank) in PubChem (https://pubchem.ncbi.nlm.nih.gov/source/11933). Dataset DOI: 10.5281/zenodo.3827487. Entries automatically extracted from HSDB are manually validated to remove mismatching CIDs, and add additional CIDs not captured using the descriptions provided. Files are created with a default to not import any data until this has been checked. Please report any mismatches, despite best efforts it is possible that errors are present, all files are under version control so that entries can be corrected/updated/enhanced over time and recommitted. Code associated with this deposit is located here: https://gitlab.lcsb.uni.lu/eci/pubchem/-/tree/master/annotations/tps/ Updates: 16 May 2020: Added the source file (extract of all HSDB Metabolites/Metabolism entries as is from JSON file), plus an updated S68_HSDBTPS_StructInfoOnly.csv with one new structure and renamed to include S68, plus the first draft of the Transformations table. 28 May 2020: added InChIKey and DIXSID files. 11 June 2020: added updated Transformations and Structure files to contain new CIDs and resulting reactions from new PubChem registrations. Dec 23, 2022: first dataset from Emma Palm added, using her TP curation app. DTXSID file dropped. 23 Mar 2023: added Biosystem and Enzyme columns, filling in biosystem where appropriate. 24 Mar 2023: new azo dye reactions from Emma Palm added. 1 Apr 2023: more azo dye reactions from Emma Palm. 4 Apr 2023: added new CIDs. 27 June 2023: added many new substances, including new CIDs. 28 June 2023 added transformations, 30 June 2023 added new CIDs.11 July added missing DOIs to transformations table
description: NOTE: Work in progress! Files and formats are being actively developed with PubChem and are subject to change
DOI: 10.15129/876a786c-7f44-431c-9e56-41dbad34dda8
title: Data for: "Evaluating the Protective Effects of Aurodox in a Murine Model of Shiga Toxin-Producing Escherichia coli"

description: This data set contains raw image data for the manuscript entitled "Evaluating the Protective Effects of Aurodox in a Murine Model of Shiga Toxin-Producing Escherichia coli".

Data is provided in either TIF and SVS formats for all imaging experiments.
DOI: 10.5281/zenodo.15024505
title: Project TIN CANN - Subset by Cluster, Group by Cell Type

description: 11. Marker genes subset by cell type, grouped by treatment

- Samples were first subset by cluster, then grouped by cell type for downstream analysis.
DOI: 10.5281/zenodo.15024506
title: Project TIN CANN - Subset by Cluster, Group by Cell Type

description: 11. Marker genes subset by cell type, grouped by treatment

- Samples were first subset by cluster, then grouped by cell type for downstream analysis.
DOI: 10.15468/dl.zy67td
title: Occurrence Download

description: A dataset containing 1377 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Gargara genistae Fabricius, 1775",
 "HasGeospatialIssue is false",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1377 records from 110 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008531-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kvycwe
title: Occurrence Download

description: A dataset containing 452 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Specimen, Living Specimen)",
 "Elevation 170.0-3637.0m",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Prunus integrifolia (C.Presl) Walp."
 ]
}

 The dataset includes 452 records from 36 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008533-250310093411724/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/11029963
title: Trending Youtube Video Statistics (113 Countries)
DOI: 10.15468/dl.feu3sj
title: Occurrence Download

description: A dataset listing the 12639 species recorded in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-369.96849 36.13545,-355.83419 36.13545,-355.83419 43.83582,-369.96849 43.83582,-369.96849 36.13545))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Plantae",
 "Year 2022-2025"
 ]
}

 The dataset's 12639 records were derived from 259 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008528-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.y3vs7r
title: Occurrence Download

description: A dataset containing 104 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Country is one of (Costa Rica, Guadeloupe, Barbados, unknown or invalid, Cuba, Aruba, Panama, Dominican Republic, Martinique)",
 "TaxonKey is Ischnoplax pectinata (G.B.Sowerby II, 1840)"
 ]
}

 The dataset includes 104 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008536-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.y7u4j7
title: Occurrence Download

description: A dataset containing 80 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-91.65359 20.62731,-71.62163 20.86309,-71.78027 33.07867,-91.65359 33.11598,-91.65359 20.62731))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Month is one of (April, May, June, July, August, September)",
 "TaxonKey is Eretmochelys imbricata (Linnaeus, 1766)",
 "Year 2011-2021"
 ]
}

 The dataset includes 80 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008537-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ze9en7
title: Occurrence Download

description: A dataset listing the 38 species recorded in GBIF matching the query:
{
 "TaxonKey" : [
 "is Alternanthera sessilis (L.) R.Br. ex DC."
 ]
}

 The dataset's 38 records were derived from 496 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008527-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh1096352.10fu
title: SH1096352.10FU

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/sh1096353.10fu
title: SH1096353.10FU

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/sh1096354.10fu
title: SH1096354.10FU

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/sh1096355.10fu
title: SH1096355.10FU

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/sh1096356.10fu
title: SH1096356.10FU

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/sh1096358.10fu
title: SH1096358.10FU

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.sbtsm7
title: Occurrence Download

description: A dataset containing 1680 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Solanum sarrachoides",
 "Year 1000-2022"
 ]
}

 The dataset includes 1680 records from 202 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002507-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh1096360.10fu
title: SH1096360.10FU

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.