cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.0zqzlo
title: Occurrence Download

description: A dataset listing the 32956 species recorded in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-102.29671 21.15698,-98.32781 21.15698,-98.32781 24.50198,-102.29671 24.50198,-102.29671 21.15698))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset's 32956 records were derived from 640 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013397-190918142434337/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.13140/rg.2.2.11539.91683
title: السرطان الشبح في سواحل اليمن الرملية دقة عالية ‫‬
DOI: 10.13140/rg.2.2.21291.67369
title: SSRN-id3534094.pdf
DOI: 10.13140/rg.2.2.22838.32323
title: CURE OF COVID 19 WITH ANTIBODIES PROFESSOR TAREQ
DOI: 10.13140/rg.2.2.24516.04482
title: REVISTA BRASILEIRA DE EDUCAÇÃO ESPECIAL (1992-2018)
DOI: 10.13140/rg.2.2.29968.64002
title: HTC BBDST P N20 43.007
DOI: 10.13140/rg.2.2.11880.70407
title: Extraer y ordenar datos FAOSTAT con Tidyverse
DOI: 10.13140/rg.2.2.17962.44481
title: delay of covid 19 vaccines
DOI: 10.13140/rg.2.2.34739.66080
title: Pengantar Pepindahan Panas pada Industri
DOI: 10.13140/rg.2.2.28048.43520
title: ‫المختار‬ ‫عمر‬ ‫جامعة‬ ‫واالثار‬ ‫السياحة‬ ‫كلية‬ ‫اهمية‬ ‫مقرر‬ ‫ادارة‬ ‫االثري‬ ‫التراث‬ 2015
DOI: 10.13140/rg.2.2.25007.56489
title: DURASI PENGGUNAAN MEDIA SOSIAL DAN INSOMNIA PADA REMAJA : STUDI LITERATUR SEBAGAI EVIDENCE BASED PROMOSI KESEHATAN
DOI: 10.13140/rg.2.2.28730.00961
title: TABLICE WARUNKÓW METEOROLOGICZNYCH PROPAGACJI DŹWIĘKU W POLSCE
DOI: 10.13140/rg.2.2.31875.73769
title: Avaliação financeira de projeto de investimento em pinhão manso
DOI: 10.6084/m9.figshare.23578914.v1
title: PM Discourses on Solar-India.xlsx

description: Database of political discourses on solar energy in India (2010-2022)
DOI: 10.6084/m9.figshare.29148944
title: Data

description: Data
DOI: 10.6084/m9.figshare.23578914
title: PM Discourses on Solar-India.xlsx

description: Database of political discourses on solar energy in India (2010-2022)
DOI: 10.15468/dl.ku8wxp
title: Occurrence Download

description: A dataset containing 26 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Costa Rica",
 "TaxonKey is Desmodium rhynchodesmum (S.F.Blake) Standl."
 ]
}

 The dataset includes 26 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0069251-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.u94cx5
title: Occurrence Download

description: A dataset containing 13312 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is NEON Biorepository Mammal Collection (Ear Tissue)"
 ]
}

 The dataset includes 13312 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0069252-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.sn7xdk
title: Occurrence Download

description: A dataset containing 1151 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Chaetodon auripes Jordan & Snyder, 1901"
 ]
}

 The dataset includes 1151 records from 61 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0069253-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25345/c5t727v1q
title: MassIVE MSV000098330 - Catabolism of lignin-related methoxylated compounds in white-rot fungi utilizes a non-canonical extradiol dioxygenase
title: Two white-rot fungi, Trametes versicolor and Gelatoporia subvermispora were cultivated to elucidate the intracellular catabolism of vanillate, a monomethoxylated aromatic compound. A four-enzyme pathway that converts vanillate into beta-ketoadipate, a metabolite that enters central carbon metabolism, was identified and biochemically validated. Samples were digested with trypsin, then analyzed by LC-MS/MS. Data was searched with MS-GF+ using PNNL's DMS Processing pipeline.
DOI: 10.15468/dl.7fzfqx
title: Occurrence Download

description: A dataset containing 31 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Costa Rica",
 "TaxonKey is Desmodium scorpiurus (Sw.) Poir."
 ]
}

 The dataset includes 31 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0069255-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.htpvvx
title: Occurrence Download

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Mabuya parviterrae Hedges, Lorvelec, Barré, Berchel, Combot, Vidal & Pavis, 2016",
 "HasGeospatialIssue is false",
 "HasCoordinate is true"
 ]
}

 The dataset includes 5 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0069257-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.68fz4u
title: Occurrence Download

description: A dataset containing 10575 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Chaetodon lunulatus Quoy & Gaimard, 1825"
 ]
}

 The dataset includes 10575 records from 115 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0069258-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5t4xdd
title: Occurrence Download

description: A dataset containing 5152 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Mabuya Fitzinger, 1826",
 "HasGeospatialIssue is false",
 "HasCoordinate is true"
 ]
}

 The dataset includes 5152 records from 129 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0069259-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.g8qteh
title: Occurrence Download

description: A dataset containing 200 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Marisora aquilonaria Mccranie, Matthews & Hedges, 2020",
 "HasGeospatialIssue is false",
 "HasCoordinate is true"
 ]
}

 The dataset includes 200 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0069261-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.21227/ewqr-yq97
title: "Time-variant Image Inpainting Dataset"

description: "This Time-variant image inpainting dataset consists of image pairs and correspoding mask pairs, where each pair of image captured the same street scene but with a large time gap."
DOI: 10.15468/dl.cg9f6j
title: Occurrence Download

description: A dataset containing 22084 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Chaetodon ocellatus Bloch, 1787"
 ]
}

 The dataset includes 22084 records from 165 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0069262-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.p3qfv9
title: Occurrence Download

description: A dataset containing 452 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Marisora brachypoda (Taylor, 1956)",
 "HasGeospatialIssue is false",
 "HasCoordinate is true"
 ]
}

 The dataset includes 452 records from 29 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0069263-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7fwqmb
title: Occurrence Download

description: A dataset listing the 238224 species recorded in GBIF matching the query:
{
 "DatasetKey" : [
 "is Tropicos MO Specimen Data"
 ]
}

 The dataset's 238224 records were derived from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0069260-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.guztsk
title: Occurrence Download

description: A dataset containing 357 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Marisora lineola Mccranie, Matthews & Hedges, 2020",
 "HasGeospatialIssue is false",
 "HasCoordinate is true"
 ]
}

 The dataset includes 357 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0069265-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qy2c44
title: Occurrence Download

description: A dataset containing 3696 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Chaetodon rainfordi McCulloch, 1923"
 ]
}

 The dataset includes 3696 records from 38 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0069266-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.29410346
title: raw data for manuscript "<b>25 Years of Decent Work: A Bibliometric Analysis by CiteSapce</b>"

description: raw data for manuscript "<b>25 Years of Decent Work: A Bibliometric Analysis by CiteSapce</b>"
DOI: 10.6084/m9.figshare.29410346.v1
title: raw data for manuscript "<b>25 Years of Decent Work: A Bibliometric Analysis by CiteSapce</b>"

description: raw data for manuscript "<b>25 Years of Decent Work: A Bibliometric Analysis by CiteSapce</b>"
DOI: 10.15468/dl.87kw33
title: Occurrence Download

description: A dataset containing 6298350 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Marmaronetta angustirostris (Ménétries, 1832), Mergus merganser Linnaeus, 1758, Netta peposaca (Vieillot, 1816), Netta rufina (Pallas, 1773), Oxyura jamaicensis (J.F.Gmelin, 1789), Oxyura leucocephala (Scopoli, 1769), Tadorna ferruginea (Pallas, 1764), Tadorna variegata (J.F.Gmelin, 1789))",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Machine Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 6298350 records from 809 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0364806-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7910/dvn/ygx70h
title: US Centers for Disease Control and Prevention (CDC) National Environmental Public Health Tracking Network (NEPHTN) Indicator: Historical Precipitation

description: The National Environmental Public Health Tracking Network (NEPHTN), Indicator: Historical Precipitation dataset presents standardized, population-weighted daily precipitation metrics. The data, derived from the North American Land Data Assimilation System predictions for 1979 to 2023, are aggregated to the state, county, and census tract level for the contiguous United States.
description: <b>Intended Use</b>Geospatial exposure assessment for public health studies on longer-term outcomesGeospatial exposure assessment at the individual-level or population-levelLong-term (multi-decade) health cohort studies<br><b>Strengths</b>Dataset supports analysis of extreme precipitation across the contiguous United States over multiple decades in a consistent wayData available for geographic units commonly used in population-level analyses (e.g., Census tract, county) in tabular format<br><b>Limitations</b>Potential error due to aggregation of gridded NLDAS precipitation data to Census tract, county, and state boundariesUncertainty in gridded NLDAS precipitation estimates varies by geographic regionPotential error due to aggregation of gridded NLDAS precipitation data to Census tract, county, and state boundariesUncertainty in gridded NLDAS precipitation estimates varies by geographic region<br><b>Suggested Audience</b>Researcher<br>
DOI: 10.15156/bio/sh0186024.10fu
title: SH0186024.10FU

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/sh0186025.10fu
title: SH0186025.10FU

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/sh0186026.10fu
title: SH0186026.10FU

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/sh0186027.10fu
title: SH0186027.10FU

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/sh0186028.10fu
title: SH0186028.10FU

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/sh0186029.10fu
title: SH0186029.10FU

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/sh0186030.10fu
title: SH0186030.10FU

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/sh0186031.10fu
title: SH0186031.10FU

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/sh0186032.10fu
title: SH0186032.10FU

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/sh0186033.10fu
title: SH0186033.10FU

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.