cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.26072665
title: DATA <b>Spatiotemporal mapping and statistical analysis of the raw water quality exploited from tube wells in a karst region in southern Brazil</b>

description: Monitoring and controlling the drinking water quality in water supply systems is extremely important, as untreated water can contain many microbiological and physical-chemical contaminants. In this study, were used secondary data registered in VIGIAGUA program of nine tube wells in urban area over the karst region of Ponta Grossa, a city in southern Brazil, between 2016-2021. The temporal statistical analysis of raw water quality including the parameters of total coliforms (TC), Escherichia coli, turbidity, and fluoride indicated that 35 % of the samples were non-potable, due to the microbiological parameters presenting the highest contamination rates of the raw water. Furthermore, the analysis evidenced a correlation between rainfall and the parameters of TC (p = 0.002) and Escherichia coli (p = 0.037). Some wells were indicated as vulnerable, especially after rainfall, accentuating the risks of contamination of underground water sources, becoming a critical factor for the transmission of waterborne diseases.
DOI: 10.6084/m9.figshare.26072665.v1
title: tube wells results and rainfall data - Ponta Grossa 2016-2021.ods

description: microbiological and physical-chemical results of nine tube wells and rainfall volume in urban area over the karst region of Ponta Grossa, a city in southern Brazil, between 2016-2021
DOI: 10.6084/m9.figshare.26072665.v2
title: DATA <b>Spatiotemporal mapping and statistical analysis of the raw water quality exploited from tube wells in a karst region in southern Brazil</b>

description: Monitoring and controlling the drinking water quality in water supply systems is extremely important, as untreated water can contain many microbiological and physical-chemical contaminants. In this study, were used secondary data registered in VIGIAGUA program of nine tube wells in urban area over the karst region of Ponta Grossa, a city in southern Brazil, between 2016-2021. The temporal statistical analysis of raw water quality including the parameters of total coliforms (TC), Escherichia coli, turbidity, and fluoride indicated that 35 % of the samples were non-potable, due to the microbiological parameters presenting the highest contamination rates of the raw water. Furthermore, the analysis evidenced a correlation between rainfall and the parameters of TC (p = 0.002) and Escherichia coli (p = 0.037). Some wells were indicated as vulnerable, especially after rainfall, accentuating the risks of contamination of underground water sources, becoming a critical factor for the transmission of waterborne diseases.
DOI: 10.15468/dl.mfya3k
title: Occurrence Download

description: A dataset containing 22 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Moehringia hypanica Grynj & Klokov",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 22 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0299351-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9wrng6
title: Occurrence Download

description: A dataset containing 429441 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Lonicera periclymenum L.",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 429441 records from 681 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0300091-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.m878nu
title: Occurrence Download

description: A dataset containing 323 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Woodsia pulchella Bertol.",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 323 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0285540-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.m8ujdx
title: Occurrence Download

description: A dataset containing 192 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Centaurea glastifolia L.",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 192 records from 24 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002233-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.n2rbzc
title: Occurrence Download

description: A dataset containing 19 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Dianthus spiculifolius Schur",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 19 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0259331-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ga5y6f
title: Occurrence Download

description: A dataset containing 69866 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Rhododendron tomentosum (Stokes) Harmaja",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 69866 records from 191 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0261145-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kgcknb
title: Occurrence Download

description: A dataset containing 303 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Orchis punctulata Steven ex Lindl.",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 303 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0298349-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.khyt22
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cirsium vallis-demonis Lojac.",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 3 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0293898-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ma2gj6
title: Occurrence Download

description: A dataset containing 47 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Allium erubescens K.Koch",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 47 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0286940-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mbgv24
title: Occurrence Download

description: A dataset containing 48 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Orobanche canescens C.Presl",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 48 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0263298-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.c2yaq2
title: Occurrence Download

description: A dataset containing 89329 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ballota nigra L.",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 89329 records from 449 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0257194-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mrf7z7
title: Occurrence Download

description: A dataset containing 1080 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Sabulina viscosa (Schreb.) Rchb.",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 1080 records from 41 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0290063-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17305030
title: Research data for: Application of fully automated filtration for precipitation polymerizations in synthesis robots

description: : A tailor-made low-cost filtration module was implemented into a synthesis robot to perform automated sampling during precipitation polymerizations enabling direct gas chromatography (GC) analysis without further manual postprocessing. This procedure enables for the first time the automated kinetic investigations of such polymerizations performed in synthesis platforms. Furthermore, a custom-developed computational workflow was created to automate the processing of raw chromatographic data and derive reaction conversion profiles. For this purpose, a standard needle was modified to fit onto a syringe filter. A rack was designed to hold the vial with a syringe filter attached to it. A spring was utilized to enable a tight fixation of the needle, and a metal block was placed above the rack to ensure safe removal of the needle. In order to validate the new setup, in total six polymerizations were performed. Three each were purified with automated filtration directly after sampling and manual filtration of all 20 samples at the end of the reaction. In comparison, the automated sampling process was highly reproducible and more accurate than the manual filtration approach highlighting the benefit of automated workflows for polymer science and chemistry.
DOI: 10.15468/dl.8pt35f
title: Occurrence Download

description: A dataset containing 1210 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Populus laurifolia)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 1210 records from 66 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000472-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.d6c35s
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Sphenisciformes)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1980",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "Geometry POLYGON((-30 60,0 60,0 90,-30 90,-30 60))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000474-251009101135966/datasets/export for details.
DOI: 10.15156/bio/sh0165638.10fu
title: SH0165638.10FU

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/sh0165639.10fu
title: SH0165639.10FU

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/sh0165640.10fu
title: SH0165640.10FU

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/sh0165641.10fu
title: SH0165641.10FU

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/sh0165642.10fu
title: SH0165642.10FU

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/sh0165643.10fu
title: SH0165643.10FU

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/sh0165644.10fu
title: SH0165644.10FU

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/sh0165645.10fu
title: SH0165645.10FU

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/sh0165646.10fu
title: SH0165646.10FU

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/sh0165647.10fu
title: SH0165647.10FU

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.