cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh1130953.10fu
title: SH1130953.10FU

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/sh1130956.10fu
title: SH1130956.10FU

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/sh1130957.10fu
title: SH1130957.10FU

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/sh1130958.10fu
title: SH1130958.10FU

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/sh1130959.10fu
title: SH1130959.10FU

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/sh1130962.10fu
title: SH1130962.10FU

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/sh1130963.10fu
title: SH1130963.10FU

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/sh1130964.10fu
title: SH1130964.10FU

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/sh1130968.10fu
title: SH1130968.10FU

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/sh1130969.10fu
title: SH1130969.10FU

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.15062373
title: STANDARDIZATION AND QUALITY CONTROL OF EYE DROP DOSAGE FORMS
DOI: 10.5281/zenodo.15062374
title: STANDARDIZATION AND QUALITY CONTROL OF EYE DROP DOSAGE FORMS
DOI: 10.5281/zenodo.15062158
title: Raw Data for: The Effect of Toothpaste Mix Extract on Angiogenesis and Inflammatory Cell Response in a Wistar Rat Gingivitis Model

description: This dataset contains raw data on gene expression (IL-1β, IL-6), haematoxilin staining (angiogenesis, monocyte, and polynuclear), masson trichome (collagen) and immunohistochemical analysis (CD86, CD163) of an in vivo gingivitis model in Wistar rats. Data is provided in xls and docx formats
DOI: 10.5281/zenodo.15062159
title: Raw Data for: The Effect of Toothpaste Mix Extract on Angiogenesis and Inflammatory Cell Response in a Wistar Rat Gingivitis Model

description: This dataset contains raw data on gene expression (IL-1β, IL-6), haematoxilin staining (angiogenesis, monocyte, and polynuclear), masson trichome (collagen) and immunohistochemical analysis (CD86, CD163) of an in vivo gingivitis model in Wistar rats. Data is provided in xls and docx formats
DOI: 10.5281/zenodo.15062381
title: PERISHABLE AND NON-PERISHABLE MEDICINES AND QUALITY CONTROL
DOI: 10.5281/zenodo.15062382
title: PERISHABLE AND NON-PERISHABLE MEDICINES AND QUALITY CONTROL
DOI: 10.15468/dl.x5zeph
title: Occurrence Download

description: A dataset containing 108 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Nepal",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Satyrium nepalense D.Don"
 ]
}

 The dataset includes 108 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019858-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wdstwc
title: Occurrence Download

description: A dataset containing 30 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pseudaonidia trilobitiformis (Green, 1896)",
 "HasGeospatialIssue is false",
 "HasCoordinate is true"
 ]
}

 The dataset includes 30 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019859-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hpvg2b
title: Occurrence Download

description: A dataset containing 12655 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Spodoptera frugiperda J.E.Smith, 1797"
 ]
}

 The dataset includes 12655 records from 77 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019860-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15062383
title: LOZENGE DOSAGE FORMS
DOI: 10.5281/zenodo.15062384
title: LOZENGE DOSAGE FORMS
DOI: 10.15468/dl.k8hggm
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Planococcus japonicus Cox, 1989",
 "HasGeospatialIssue is false",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019861-250310093411724/datasets/export for details.
DOI: 10.6084/m9.figshare.28637594
title: Raw Data.csv

description: This data shows that the characteristics of short video platforms have a positive and significant impact on digital communication innovation for SMEs. Short video platforms are a new innovation for digital communication innovation for SMEs, especially in Indonesia, which is the country with the second largest number of users of short video-based platforms (such as TikTok, Instagram Reels, and YouTube Short) in the world after the United States, Brazil, and Russia. The strength of short video platform innovation lies in its characteristics, where algorithm-based recommendation systems very easily curate hundreds of videos to be presented to users in a short time interval, thus encouraging more adoption behavior by users.
DOI: 10.15468/dl.kf65hn
title: Occurrence Download

description: A dataset containing 205072 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Agrotis segetum (Denis & Schiffermüller), 1775"
 ]
}

 The dataset includes 205072 records from 456 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019836-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rq8t2e
title: Occurrence Download

description: A dataset containing 397 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Xanthoceras sorbifolia Bunge"
 ]
}

 The dataset includes 397 records from 26 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019862-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zfezpb
title: Occurrence Download

description: A dataset containing 253 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pulvinariella mesembryanthemi (Vallot, 1829)",
 "HasGeospatialIssue is false",
 "HasCoordinate is true"
 ]
}

 The dataset includes 253 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019865-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.82pny8
title: Occurrence Download

description: A dataset containing 1387 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Plakobranchus van Hasselt, 1824"
 ]
}

 The dataset includes 1387 records from 39 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019866-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15062412
title: Interoceptive stimulus of nicotine through sensitized exteroceptive neural circuit in C. elegans
DOI: 10.15468/m8wur6
title: The Biodiversity of Ice-free Antarctica Database

description: Antarctica is one of Earth’s most untouched, inhospitable, and poorly-known regions. Although knowledge of its biodiversity has increased over recent decades, a diverse, wide-ranging and spatially explicit compilation of the biodiversity that inhabits Antarctica’s permanently ice-free areas is unavailable. This absence hinders both Antarctic biodiversity research and the integration of Antarctica in global biodiversity-related studies. Fundamental and applied research on biodiversity patterns, ecological structure and function, and options for conservation are reliant on spatially-resolved, taxonomically-consistent observations. Such information is especially important for modern, data-driven biodiversity science, both in Antarctica and globally, and forms the backbone of biodiversity informatics, reflected for example in the Darwin Core Standard used by the Global Biodiversity Information Facility. Biodiversity data are also essential to fulfil the conservation requirements for Antarctica, as set out in the Protocol on Environmental Protection to the Antarctic Treaty and inform the design of systematic surveys to address biodiversity and ecological knowledge gaps, for both specific taxa and ecosystems. Such surveys are key requirements for understanding and mitigating the impacts of environmental change on the region’s biodiversity. Here, we address these requirements through the public release of The Biodiversity of Ice-free Antarctica Database. In 2008, we extracted a subset of biodiversity records only from terrestrial ice-free areas, from the Scientific Committee on Antarctic Research (SCAR) Antarctic Biodiversity Database. We have subsequently added thousands of records from a range of sources; checking, and where necessary (and possible), correcting the spatial location, clarifying, cross-referencing and harmonizing taxonomy with globally-recognized sources, and documenting the original source of records. The Biodiversity of Ice-free Antarctica Database spans the early 1800s to 2019 (with most records collected after 1950) and represents the most comprehensive consolidation of Antarctic ice-free biodiversity occurrence data yet compiled into a single database. The Biodiversity of Ice-free Antarctica Database contains 35,654 records of 1,890 species in over 800 genera across six kingdoms and spans all Antarctic Conservation Biogeographic Regions.Detailed metadata can be found in the Supplementary Materials of:Terauds, A., Lee, J.R., Wauchope, H., Raymond, B., Bergstrom, D.M., Convey, P., Mason, C., Patterson, C.R., Robinson, S.A, Van de Putte, A., Watts, D. and Chown, S.L. (2025) The Biodiversity of Ice-free Antarctica Database. Ecology. https://doi.org/10.1002/ecy.70000
DOI: 10.15468/dl.4neazk
title: Occurrence Download

description: A dataset containing 1243 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Cephalotaxus sinensis (Rehd. & E.H.Wilson) H.L.Li"
 ]
}

 The dataset includes 1243 records from 29 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019868-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.e749sa
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Quercus gracilenta Chun"
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019871-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hxjbge
title: Occurrence Download

description: A dataset containing 12005 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Quercus gambelii Nutt."
 ]
}

 The dataset includes 12005 records from 190 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019869-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ru6pxx
title: Occurrence Download

description: A dataset containing 14467 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Quercus garryana Douglas ex Hook."
 ]
}

 The dataset includes 14467 records from 166 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019870-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hpm792
title: Occurrence Download

description: A dataset containing 1253 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pseudococcus longispinus (Targioni Tozzetti, 1867)",
 "HasGeospatialIssue is false",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1253 records from 29 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019872-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gsn7wf
title: Occurrence Download

description: A dataset containing 381 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Caesalpinia sappan L."
 ]
}

 The dataset includes 381 records from 36 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019873-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.