cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25345/c5d50g848
title: MassIVE MSV000095579 - In Vitro Exposures of A549, J774A.1 Cells to SiO2, TiO2 Nanoforms and Related Cellular and Molecular Level Effects: Application of Proteomics
title: There is emerging interest in using proteomic data for environmental health-risk assessments. Meanwhile, due to attractive physicochemical properties, production and use of engineered nanomaterials (ENMs) are expanding with potential for exposure, thus necessitating toxicity information on these materials for human health risk analysis, where proteomic data can be informative. Here, cells (A549 human lung epithelial, J774 mouse monocyte/macrophage) were exposed to ENMs (nanoforms of SiO2, TiO2) of different sizes, surface chemistries (dose:0-100 ug/cm2, 24 h) for in vitro toxicity data. Cellular cytotoxicity (CTB, ATP, LDH), oxidative stress and proteomic analysis (MS-, antibody-based) were conducted post-nanoparticle (NP) exposures to determine cytotoxic potencies and identify molecular-level effects. Dose-, nanoform-, cell type-specific cytotoxicity changes were seen with both nanoSiO2 and nanoTiO2 exposures. Size, agglomeration, surface groups and metal impurities appeared to be cytotoxicity determinants. Proteomic data identified some common enriched mechanistic pathways relevant to phagocytosis, cell-shape changes, apoptosis, and inflammatory processes for nanoSiO2, nanoTiO2 exposed J774 cells. A549 cells exhibited pathway changes relevant to cell metabolism, endocytosis and inflammatory processes post-NP exposures. Concordance was seen between, cytotoxicity responses, notably cellular ATP, critical for cell viability, cellular oxidative stress and affected cellular pathways. These findings demonstrate the utility of proteomics in toxicology, warranting further exploration.
DOI: 10.15468/dl.3fk5db
title: Occurrence Download

description: A dataset containing 3515 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is USA.48_1",
 "TaxonKey is one of (Vaccinium parvifolium Sm., Vaccinium habbemae var. parvifolium J.J.Sm., Vaccinium alaternoides var. parvifolium Benth., Vaccinium virgatum var. parvifolium A.Gray, Vaccinium varingiifolium f. parvifolium Miq.)"
 ]
}

 The dataset includes 3515 records from 40 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0063130-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ev2t4x
title: Occurrence Download

description: A dataset containing 22 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Microepidendrum subulatifolium (A.Rich. & Galeotti) W.E.Higgins)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 22 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0063131-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.21985/n2-jvg9-qs44
title: JPhysiol_2024
DOI: 10.15468/dl.r5y4tj
title: Occurrence Download

description: A dataset containing 194 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is one of (BRA.13.664_2, BRA.13.59_2, BRA.13.722_2, BRA.13.361_2, BRA.13.411_2, BRA.13.64_2, BRA.13.519_2, BRA.13.395_2, BRA.13.807_2, BRA.13.214_2, BRA.13.357_2, BRA.13.464_2)",
 "TaxonKey is Mammalia"
 ]
}

 The dataset includes 194 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0063133-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xaa5cf
title: Occurrence Download

description: A dataset containing 348 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Ancistrus temminckii (Valenciennes, 1840)"
 ]
}

 The dataset includes 348 records from 34 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0063136-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.uwvthx
title: Occurrence Download

description: A dataset containing 9721 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-24.26257 -38.43558,58.22941 -38.43558,58.22941 17.6451,-24.26257 17.6451,-24.26257 -38.43558))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Millettia Wight & Arn."
 ]
}

 The dataset includes 9721 records from 157 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0063137-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.13307498
title: Localidades afectadas por las inundaciones en el río Maule y Mataquito

description: Archivo KML con las zonas afectadas por los desbordes de los ríos Maule y Mataquito en junio de 2023, con énfasis en Constitución, Licantén, Hualañé y Curepto. Fecha de elaboración: Agosto de 2023
DOI: 10.5281/zenodo.13307499
title: Localidades afectadas por las inundaciones en el río Maule y Mataquito

description: Archivo KML con las zonas afectadas por los desbordes de los ríos Maule y Mataquito en junio de 2023, con énfasis en Constitución, Licantén, Hualañé y Curepto. Fecha de elaboración: Agosto de 2023
DOI: 10.15468/dl.fcrr7j
title: Occurrence Download

description: A dataset containing 5422 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-24.78343 -40.74365,64.28202 -40.74365,64.28202 21.40204,-24.78343 21.40204,-24.78343 -40.74365))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Erythrina L."
 ]
}

 The dataset includes 5422 records from 163 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0063139-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fgh87d
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Ardisia rarescens Standl.)",
 "BasisOfRecord is one of (Human Observation, Observation, Living Specimen)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "Continent is North America"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017366-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jqtbdn
title: Occurrence Download

description: A dataset containing 11 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Indosasa glabrata C.D.Chu & C.S.Chao"
 ]
}

 The dataset includes 11 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017367-250127130748423/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/10675317
title: Egypt Gold Prices | Daily Updated
DOI: 10.15468/dl.umgj8g
title: Occurrence Download

description: A dataset containing 45 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Ardisia revoluta Kunth)",
 "BasisOfRecord is one of (Human Observation, Observation, Living Specimen)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "Continent is North America"
 ]
}

 The dataset includes 45 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017368-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14822686
title: Global Leather Goods Market 2025 To 2034

description: Leather Goods Market Size, Trends and Insights By Product Type (Footwear, Accessorises, Luggage and Purses, Apparels, Others), By Distribution Channel (Hypermarket, Supermarket, Convivence stores, Online stores, Others), and By Region - Global Industry Overview, Statistical Data, Competitive Analysis, Share, Outlook, and Forecast 2024–2033.

Reports Description

Global Leather Goods Market was valued at USD 282.7 Billion in 2024 and is expected to reach USD 552.9 Billion by 2033, at a CAGR of 6.74% from 2024 to 2033.

The leather goods market refers to the industry encompassing all products made from animal hides, typically cowhide but also including other animals. This includes familiar items like footwear, luggage, and wallets, but also extends to apparel, belts, and even some furniture.

The market is currently experiencing steady growth, driven by factors like rising disposable income and a growing taste for luxury goods. Consumers are increasingly seeking comfortable, stylish, and long-lasting leather products, and with a growing focus on brand awareness, the market is expected to keep expanding in the coming years.

For more information, DOWNLOAD FREE SAMPLE Now at https://www.custommarketinsights.com/request-for-free-sample/?reportid=50124
DOI: 10.5281/zenodo.14822687
title: Global Leather Goods Market 2025 To 2034

description: Leather Goods Market Size, Trends and Insights By Product Type (Footwear, Accessorises, Luggage and Purses, Apparels, Others), By Distribution Channel (Hypermarket, Supermarket, Convivence stores, Online stores, Others), and By Region - Global Industry Overview, Statistical Data, Competitive Analysis, Share, Outlook, and Forecast 2024–2033.

Reports Description

Global Leather Goods Market was valued at USD 282.7 Billion in 2024 and is expected to reach USD 552.9 Billion by 2033, at a CAGR of 6.74% from 2024 to 2033.

The leather goods market refers to the industry encompassing all products made from animal hides, typically cowhide but also including other animals. This includes familiar items like footwear, luggage, and wallets, but also extends to apparel, belts, and even some furniture.

The market is currently experiencing steady growth, driven by factors like rising disposable income and a growing taste for luxury goods. Consumers are increasingly seeking comfortable, stylish, and long-lasting leather products, and with a growing focus on brand awareness, the market is expected to keep expanding in the coming years.

For more information, DOWNLOAD FREE SAMPLE Now at https://www.custommarketinsights.com/request-for-free-sample/?reportid=50124
DOI: 10.15468/dl.t9ut23
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Ardisia tuerckheimii Donn.Sm.)",
 "BasisOfRecord is one of (Human Observation, Observation, Living Specimen)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "Continent is North America"
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017369-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cgbevv
title: Occurrence Download

description: A dataset containing 415465 species occurrences available in GBIF matching the query:
{
 "Country" : [
 "is Rwanda"
 ]
}

 The dataset includes 415465 records from 438 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017358-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5gnvqu
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Ardisia vatteri Standl. & Steyerm.)",
 "BasisOfRecord is one of (Human Observation, Observation, Living Specimen)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "Continent is North America"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017370-250127130748423/datasets/export for details.
DOI: 10.15468/dl.kj2669
title: Occurrence Download

description: A dataset containing 2984552 species occurrences available in GBIF matching the query:
{
 "Country" : [
 "is Tanzania, United Republic of"
 ]
}

 The dataset includes 2984552 records from 1343 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017356-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh0181878.10fu
title: SH0181878.10FU

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/sh0181879.10fu
title: SH0181879.10FU

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/sh0181880.10fu
title: SH0181880.10FU

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/sh0181881.10fu
title: SH0181881.10FU

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/sh0181882.10fu
title: SH0181882.10FU

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/sh0181883.10fu
title: SH0181883.10FU

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/sh0181884.10fu
title: SH0181884.10FU

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/sh0181885.10fu
title: SH0181885.10FU

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: 10.7910/dvn/kqmkpz
title: Foot and Mouth Disease field survey 1

description: Contains data collected in Nakuru county, Kenya on the knowledge attitudes and practices of smallholder dairy farmers on foot and mouth disease, occurrence of the disease and possible risk factors for the disease.
DOI: 10.15156/bio/sh0181886.10fu
title: SH0181886.10FU

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.