cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.exd9wu
title: Occurrence Download

description: A dataset containing 1527 species occurrences available in GBIF matching the query:
{
 "and" : [
 "VerbatimScientificName is Corvus imparatus",
 "BasisOfRecord is one of (Machine Observation, Human Observation)",
 "Year 2011-2021",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen, Specimen, Material citation, Material sample)"
 ]
 }
 }
 ]
}

 The dataset includes 1527 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0068035-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hnynry
title: Occurrence Download

description: A dataset containing 559040 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Troglodytes pacificus S.F.Baird, 1864)",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Machine Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 559040 records from 46 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005120-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.u5a7de
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Rhipicephalus lunulatus Neumann, 1907"
 ]
}

 The dataset includes 3 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0062501-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5067/terra/misr/mil3ylsn_l3.004
title: MISR Level 3 Global Land product in netCDF format covering a year - Version 4
DOI: 10.15468/dl.8amttx
title: Occurrence Download

description: A dataset containing 750 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Eunymphicus cornutus (Gmelin, 1788))",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Machine Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 750 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011147-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5067/terra/misr/misbr_l1.005
title: MISR Level 1 Browse Data HDF-EOS File - Version 5
DOI: 10.15468/dl.rxswsy
title: Occurrence Download

description: A dataset containing 30589 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pinus uncinata Ramond ex DC.",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 30589 records from 213 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005116-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.p7xunq
title: Occurrence Download

description: A dataset containing 30 species occurrences available in GBIF matching the query:
{
 "and" : [
 "VerbatimScientificName is Ardeotis nigriceps",
 "BasisOfRecord is one of (Machine Observation, Human Observation)",
 "Year 2011-2021",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen, Specimen, Material citation, Material sample)"
 ]
 }
 }
 ]
}

 The dataset includes 30 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0062495-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tgcx4t
title: Occurrence Download

description: A dataset containing 2263 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Chrysuronia grayi (Delattre & Bourcier, 1846))",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Machine Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 2263 records from 39 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003994-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5067/terra/misr/ricmiaae_l2.002
title: MISR Level 2 Aerosol Product subset for the RICO region HDF-EOS4 File - Version 1B
DOI: 10.5067/terra/misr/mil3maln_l3.006
title: MISR Level 3 Component Albedo product in netCDF format covering a month - Version 6
DOI: 10.15468/dl.s6w83k
title: Occurrence Download

description: A dataset containing 778 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Allium atrosanguineum Schrenk"
 ]
}

 The dataset includes 778 records from 52 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011135-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5067/terra/misr/mil3mcld_l3.002
title: MISR Level 3 Component Global Cloud product covering a month HDF-EOS File - Version 2
DOI: 10.15468/dl.2r44cg
title: Occurrence Download

description: A dataset containing 47440 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Larus crassirostris Vieillot, 1818)",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Machine Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 47440 records from 65 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005131-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.m2evgs
title: Occurrence Download

description: A dataset containing 23108 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Araujia sericifera Brot."
 ]
}

 The dataset includes 23108 records from 318 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0067884-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5067/terra/misr/mil3mcod.001
title: MISR Level 3 Cloud Top Height-Optical Depth Product covering a month V001
DOI: 10.15468/dl.9k5hcr
title: Occurrence Download

description: A dataset containing 412 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Passiflora costaricensis Killip"
 ]
}

 The dataset includes 412 records from 35 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0062480-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cc23cu
title: Occurrence Download

description: A dataset containing 7966 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Chrysuronia brevirostris (R.Lesson, 1829))",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Machine Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 7966 records from 26 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003981-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5067/terra/misr/mil3mls_l3.004
title: MISR Level 3 Component Global Land product covering a month HDF-EOS File - Version 4
DOI: 10.15468/dl.f7prw3
title: Occurrence Download

description: A dataset containing 23 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Myadestes lanaiensis (S.B.Wilson, 1891))",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Machine Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 23 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011136-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.unm5jj
title: Occurrence Download

description: A dataset containing 75524 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Brassaiopsis Decne. & Planch., Chengiopanax C.B.Shang & J.Y.Huang, Dendropanax Decne. & Planch., Eleutherococcus Maxim., Fatsia Decne. & Planch., Gamblea C.B.Clarke, Heteropanax Seem., Kalopanax Miq., Macropanax Miq., Merrilliopanax H.L.Li, Metapanax J.Wen & Frodin, Oplopanax (Torr. & A.Gray) Miq., Oreopanax Decne. & Planch., Sinopanax H.L.Li, Tetrapanax (K.Koch) K.Koch & Fintelm., Trevesia Vis.)",
 "HasCoordinate is true",
 {
 "not" : {
 "EstablishmentMeans" : [
 "is INTRODUCED"
 ]
 }
 },
 {
 "not" : {
 "EstablishmentMeans" : [
 "is INVASIVE"
 ]
 }
 },
 {
 "not" : {
 "EstablishmentMeans" : [
 "is MANAGED"
 ]
 }
 },
 {
 "not" : {
 "EstablishmentMeans" : [
 "is NATURALISED"
 ]
 }
 }
 ]
}

 The dataset includes 75524 records from 831 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0062492-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17898/adp_sdslo20_v1/1
title: sdslo20_om1_sl_v1_r1.pdf

description: :unav
DOI: 10.17898/adp_sdslo20_v1/2
title: sdslo20_om2_sl_v1_r1.pdf

description: :unav
DOI: 10.15156/bio/sh1387023.10fu
title: SH1387023.10FU

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: 10.17898/adp_sdslo20_v1/3
title: sdslo20_p1_sl_v1_r3.tab

description: :unav
DOI: 10.57760/sciencedb.25183
title: The first Spatiotemporal dataset of open-pit mines in the middle reaches of the Yangtze river
title: The first Spatiotemporal dataset of open-pit mines in the middle reaches of the Yangtze river

description: Open-pit mine (OM) interpretation and mapping are essential for quantifying the environmental impacts of mineral resource extraction and have received increasing attention in the field of sustainable development. OMs are characterized by diverse geometric shapes, spectral variability, and irregular distribution. However, no long-term sample datasets or mapping products are currently available for OMs in the middle reaches of the Yangtze River. In this study, we used Sentinel-2 satellite imagery and deep learning techniques to construct LT-OM-MID, the first 10-meter-resolution, long-term elemental sample dataset for OMs in this region, covering the years 2018, 2020, 2022, and 2024. LT-OM-MID includes 350 typical OM case areas (TOMCA), a total of 13,275 OM samples, and corresponding annual mapping products. On TOMCA, the OM class achieved a maximum overall accuracy (ACC) of 61.92% based on partial ground-truth validation. Quantitative and qualitative comparisons with visual interpretation and geological survey data confirm the robustness and efficiency of the mapping framework. LT-OM-MID provides crucial data support for government efforts in OM monitoring, management, and environmental restoration.
description: Open-pit mine (OM) interpretation and mapping are essential for quantifying the environmental impacts of mineral resource extraction and have received increasing attention in the field of sustainable development. OMs are characterized by diverse geometric shapes, spectral variability, and irregular distribution. However, no long-term sample datasets or mapping products are currently available for OMs in the middle reaches of the Yangtze River. In this study, we used Sentinel-2 satellite imagery and deep learning techniques to construct LT-OM-MID, the first 10-meter-resolution, long-term elemental sample dataset for OMs in this region, covering the years 2018, 2020, 2022, and 2024. LT-OM-MID includes 350 typical OM case areas (TOMCA), a total of 13,275 OM samples, and corresponding annual mapping products. On TOMCA, the OM class achieved a maximum overall accuracy (ACC) of 61.92% based on partial ground-truth validation. Quantitative and qualitative comparisons with visual interpretation and geological survey data confirm the robustness and efficiency of the mapping framework. LT-OM-MID provides crucial data support for government efforts in OM monitoring, management, and environmental restoration.
DOI: 10.15156/bio/sh1387024.10fu
title: SH1387024.10FU

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: 10.17898/adp_sdslo20_v1/4
title: sdslo20_rm1_sl_v1_r1.pdf

description: :unav
DOI: 10.17898/adp_sdslo20_v1/5
title: sdslo20_p1_sl_v1_r3.tab

description: :unav
DOI: 10.15156/bio/sh1387025.10fu
title: SH1387025.10FU

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/sh1387030.10fu
title: SH1387030.10FU

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: 10.17898/adp_sdslo20_v1
title: Seksualno delo v Sloveniji, 2020

description: Raziskava obsega sistematični pregled literature o seksualnem delu v Sloveniji, ki je bila objavljena med letoma 1990 in 2020. Teoretsko-konceptualni okvir raziskave temelji na znanstveni literaturi, ki prostitucijo in druge seksualne storitve obravnava kot legitimno obliko dela in ugotavlja, da izključujoče politike in stigmatizacija slabijo položaj seksualnih delavk(-cev), omejujejo njihove človekove in delavske pravice ter ustvarjajo kontekste za njihovo izkoriščanje. Osrednje vprašanje je, ali je mogoče poklicna tveganja v seksualnem delu odpraviti ali vsaj omiliti s politikami. Glavni namen sistematičnega pregleda je bil povzeti ugotovitve predhodnih študij o poklicnih tveganjih v seksualnem delu ter strategijah in politikah za njihovo zmanjševanje. Razen tega raziskovalca z analizo teoretskih pristopov, metodologij in vzorcev predhodnih študij odgovarjajo na vprašanja, kakšni so obseg, značilnosti in vrzeli na področju raziskovanja seksualnega dela v Sloveniji, s čimer so želeli ugotoviti, kje se kažejo potrebe po novih raziskavah ter s tem prispevati h razvoju raziskovalnega polja.
DOI: 10.17898/adp_sdslo20_v1/6
title: sdslo20_p1_sl_v1_r3.tab

description: :unav
DOI: 10.15156/bio/sh1387031.10fu
title: SH1387031.10FU

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/sh1387032.10fu
title: SH1387032.10FU

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/sh1387033.10fu
title: SH1387033.10FU

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/sh1387036.10fu
title: SH1387036.10FU

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.