cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/74gyynvmjv.1
title: LINF_280013300

description: Calmodulin-like protein; Leishmania infantum (strain JPCM5)
DOI: 10.15468/dl.yjhp3s
title: Occurrence Download

description: A dataset containing 457 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Microbial Observatory of the Laboratoire Arago"
 ]
}

 The dataset includes 457 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000484-150512124619364/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zg4afm
title: Occurrence Download

description: A dataset containing 142 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "TaxonKey is Acer mandshuricum Maxim."
 ]
}

 The dataset includes 142 records from 23 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001290-231120084113126/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ytw7tf
title: Occurrence Download

description: A dataset containing 28 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Hechtia isthmusiana Burt-Utley"
 ]
}

 The dataset includes 28 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003526-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.uusbqa
title: Occurrence Download

description: A dataset containing 716 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Puffinus pacificus (Gmelin, 1789)",
 "Geometry POLYGON((-160.422363 21.999081,-160.136718 22.212834,-159.840087 22.365316,-159.461059 22.380555,-159.197387 22.329752,-159.060058 22.187404,-158.950195 21.983801,-159.120483 21.856400,-159.301757 21.733988,-159.713745 21.693161,-160.427856 21.728885,-160.422363 21.999081))",
 "HasGeospatialIssue is false",
 "HasCoordinate is true"
 ]
}

 The dataset includes 716 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000484-150528172251762/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.y34t2s
title: Occurrence Download

description: A dataset containing 2484 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Astragalus arenarius L."
 ]
}

 The dataset includes 2484 records from 117 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016849-231120084113126/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9hdrr1
title: Occurrence Download

description: A dataset containing 371116 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Moraceae"
 ]
}

 The dataset includes 371116 records from 629 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000484-150805223722583/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.d3dh37
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Neopilinida",
 "HasCoordinate is true",
 "Country is Japan",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 2 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0192668-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xfgmov
title: Occurrence Download

description: A dataset containing 425 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Yucca brevifolia Engelm.",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 425 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000484-150811131857512/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.drej8z
title: Occurrence Download

description: A dataset containing 17 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Amoana kienastii (Rchb.f.) Leopardi & Carnevali"
 ]
}

 The dataset includes 17 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0192672-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gam0rw
title: Occurrence Download

description: A dataset containing 121 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Anthemis tomentosa O.F.Müll.",
 "HasCoordinate is TRUE"
 ]
}

 The dataset includes 121 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000484-150831095807960/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.21291295
title: Integrating water, sediments, and land use analysis for pollution assessment in a countryside urban-farming watershed landscape in southern Brazil

description: Integrating water and sediment analysis with land use brings significant results in understanding the transformations in the watershed and assessing anthropic actions. We assess water and sediment samples collected in four sites in a countryside urban-farming watershed landscape in Southern Brazil. We performed the land-use, physical–chemical, microbiological, potentially toxic element (Pb, Cd, Zn, Cu, Ni, and Cr), atrazine, 2.4-D, microbiological contamination analysis, and total organic carbon, nutrients, and granulometry. We also calculate the Water quality index, geoaccumulation index, enrichment factor, and ecological risk potential, with SQGs (TEL and PEL). Our results demonstrate that all the water samples of this study were contaminated with faecal and total coliforms, alerting the effectiveness of treatment at these plants<b>.</b> We found no significant concentrations of pesticides in the water. The concentration of metals in the sediment was in the order of Cu &gt; Zn &gt; Cr &gt; Ni &gt; Pb &gt; Cd, with Igeo = 0–3 for Cu, Zn, and EF &lt; 3 for Cu. The Cu concentration was eight times higher than TEL, Cr, and Cu above TEL at all sites. We found a strong positive correlation between atrazine, 2.4-D, Pb, and nutrients from agricultural activities and higher concentrations at the one site. The Zn, Cu, Ni, Cd, and Cr sources were plantations, forests, and domestic sewage discharges. The results corroborate with the proposition that complete assessments of watersheds including analyses of water, sediment, and land uses are necessary to understand the real effects of anthropic action on this ecosystem and diversity of this environmental.
DOI: 10.6084/m9.figshare.21291295.v2
title: Integrating water, sediments, and land use analysis for pollution assessment in a countryside urban-farming watershed landscape in southern Brazil

description: Integrating water and sediment analysis with land use brings significant results in understanding the transformations in the watershed and assessing anthropic actions. We assess water and sediment samples collected in four sites in a countryside urban-farming watershed landscape in Southern Brazil. We performed the land-use, physical–chemical, microbiological, potentially toxic element (Pb, Cd, Zn, Cu, Ni, and Cr), atrazine, 2.4-D, microbiological contamination analysis, and total organic carbon, nutrients, and granulometry. We also calculate the Water quality index, geoaccumulation index, enrichment factor, and ecological risk potential, with SQGs (TEL and PEL). Our results demonstrate that all the water samples of this study were contaminated with faecal and total coliforms, alerting the effectiveness of treatment at these plants<b>.</b> We found no significant concentrations of pesticides in the water. The concentration of metals in the sediment was in the order of Cu &gt; Zn &gt; Cr &gt; Ni &gt; Pb &gt; Cd, with Igeo = 0–3 for Cu, Zn, and EF &lt; 3 for Cu. The Cu concentration was eight times higher than TEL, Cr, and Cu above TEL at all sites. We found a strong positive correlation between atrazine, 2.4-D, Pb, and nutrients from agricultural activities and higher concentrations at the one site. The Zn, Cu, Ni, Cd, and Cr sources were plantations, forests, and domestic sewage discharges. The results corroborate with the proposition that complete assessments of watersheds including analyses of water, sediment, and land uses are necessary to understand the real effects of anthropic action on this ecosystem and diversity of this environmental.
DOI: 10.15468/dl.pqk8ud
title: Occurrence Download

description: A dataset containing 13684 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "StateProvince is Hawaii",
 "TaxonKey is Poaceae"
 ]
}

 The dataset includes 13684 records from 83 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0192690-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.upk7n2
title: Occurrence Download

description: A dataset containing 183 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ancula Lovén, 1846",
 "HasGeospatialIssue is false",
 "HasCoordinate is true"
 ]
}

 The dataset includes 183 records from 24 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000484-160311141623029/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cqhrqw
title: Occurrence Download

description: A dataset containing 7 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Cibotarium macropetalum Rollins"
 ]
}

 The dataset includes 7 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000484-160430102343922/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wqracf
title: Occurrence Download

description: A dataset listing the 181285 species recorded in GBIF matching the query:
{
 "and" : [
 "Country is one of (Papua New Guinea, Australia, Indonesia)",
 {
 "or" : [
 "Geometry POLYGON((130 -9,138 -9,138 0,130 0,130 -9))",
 "Geometry POLYGON((138 -28,154 -28,154 0,138 0,138 -28))"
 ]
 },
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset's 181285 records were derived from 1689 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0060174-231002084531237/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.46dxej
title: Occurrence Download

description: A dataset containing 38 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Melaleuca armillaris",
 "Country is Portugal",
 "HasCoordinate is true"
 ]
}

 The dataset includes 38 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0060995-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.13140/rg.2.1.4733.9362
title: Dementia in Older People Review 2013
DOI: 10.15156/bio/sh1124132.10fu
title: SH1124132.10FU

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/sh1124133.10fu
title: SH1124133.10FU

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/sh1124136.10fu
title: SH1124136.10FU

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/sh1124139.10fu
title: SH1124139.10FU

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/sh1124141.10fu
title: SH1124141.10FU

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/sh1124143.10fu
title: SH1124143.10FU

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/sh1124144.10fu
title: SH1124144.10FU

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/sh1124146.10fu
title: SH1124146.10FU

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/sh1124150.10fu
title: SH1124150.10FU

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/sh1124151.10fu
title: SH1124151.10FU

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.