cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh1118954.10fu
title: SH1118954.10FU

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/sh1118955.10fu
title: SH1118955.10FU

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/sh1118956.10fu
title: SH1118956.10FU

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/sh1118957.10fu
title: SH1118957.10FU

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/sh1118959.10fu
title: SH1118959.10FU

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/sh1118960.10fu
title: SH1118960.10FU

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/sh1118961.10fu
title: SH1118961.10FU

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/sh1118963.10fu
title: SH1118963.10FU

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/sh1118965.10fu
title: SH1118965.10FU

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: 10.15468/dl.53y7hd
title: Occurrence Download

description: A dataset containing 8769 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-75.08331 7.68377,-74.88007 7.08454,-74.57245 7.28619,-74.55597 7.67289,-74.89105 7.78719,-75.08331 7.68377))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 8769 records from 71 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005962-210819072339941/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8ur6g3
title: Occurrence Download

description: A dataset containing 697 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 {
 "or" : [
 "TaxonKey is Taxus chinensis Rehder",
 "TaxonKey is Taxus chinensis var. mairei (Lemée & Lév.) W.C.Cheng & L.K.Fu"
 ]
 }
 ]
}

 The dataset includes 697 records from 28 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029998-180508205500799/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9bgkx9
title: Occurrence Download

description: A dataset containing 25018 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Helianthemum italicum (L.) Pers.",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 25018 records from 157 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001790-240130105604617/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5xuqfq
title: Occurrence Download

description: A dataset containing 242 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Quercus skinneri Benth."
 ]
}

 The dataset includes 242 records from 30 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005964-210819072339941/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6txf8b
title: Occurrence Download

description: A dataset containing 1813039 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Anas clypeata Linnaeus, 1758"
 ]
}

 The dataset includes 1813039 records from 586 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030002-181108115102211/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gyavcj
title: Occurrence Download

description: A dataset containing 486 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Continent is North America",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Psittacanthus schiedeanus (Cham. & Schltdl.) G.Don"
 ]
}

 The dataset includes 486 records from 48 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001780-240130105604617/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zbnuxc
title: Occurrence Download

description: A dataset containing 1917 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Aegilops tauschii Coss.",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 1917 records from 22 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002068-181003121212138/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.lapbkm
title: Occurrence Download

description: A dataset containing 3944 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Loxodonta Anonymous, 1827",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 3944 records from 44 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030005-180131172636756/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.52zedn
title: Occurrence Download

description: A dataset containing 27527 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Ursus arctos Linnaeus, 1758"
 ]
}

 The dataset includes 27527 records from 222 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0149330-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.y44mc2
title: Occurrence Download

description: A dataset containing 624 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Helianthemum lippii (L.) Dum.Cours.",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 624 records from 34 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001793-240130105604617/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7j34ka
title: Occurrence Download

description: A dataset containing 14239 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "OccurrenceStatus is Present",
 "TaxonKey is Alligator mississippiensis (Daudin, 1801)"
 ]
}

 The dataset includes 14239 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0191420-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jnajsg
title: Occurrence Download

description: A dataset containing 139 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Eremias pleskei Nikolsky, 1905"
 ]
}

 The dataset includes 139 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030005-180508205500799/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.acqrgf
title: Occurrence Download

description: A dataset containing 27 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Helianthemum leptophyllum Dunal",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 27 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001792-240130105604617/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.lnljts
title: Occurrence Download

description: A dataset containing 43 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Antarctic and sub-Antarctic Lophogastrida occurrences"
 ]
}

 The dataset includes 43 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030005-181108115102211/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6j8trf
title: Occurrence Download

description: A dataset containing 14239 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "TaxonKey is Alligator mississippiensis (Daudin, 1801)"
 ]
}

 The dataset includes 14239 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0191415-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yfep6u
title: Occurrence Download

description: A dataset containing 14961475 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Coleoptera"
 ]
}

 The dataset includes 14961475 records from 2997 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030005-190415153152247/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17463308
title: The Influence of Urban Morphologies on the Resilience of the Water Distribution System - Dataset

description: This dataset includes the green field resilient optimal water distribution design for different real and schematic cities.

The non parameterized network information of the real cities, which was the input data to this dataset, is accessible at DOI: 10.5281/zenodo.17458520.

The underlying cost-benefit optimization of these networks of real as well as schematic cities is done using the MILP published in DOI: 10.5281/zenodo.17458803.This software package includes the postprocessing as well as visualization scripts. Furthermore, version 2 (DOI: 10.5281/zenodo.17458802) of the software includes the scripts used to obtain the networks of the schematic cities (concentric, homogeneous, linear city types/morphologies) varying in size (area).

The non parameterized networks of the studied real cities, which can also be categorized by their urban morphology are derived using the software published in DOI: 10.5281/zenodo.17458349.

A description of the underlying software and geo referenced data is given by Rehm et al. "A Method for Modeling Urban Water Infrastructures Combining Geo-Referenced Data (DOI: 10.3390/w13162299). In detail description of the underlying software and geo referenced data as well as a discussion of the data published her is given by Rehm in her PhD thesis "Generierung und Resilienzbewertung urbaner Wassernetze" (2025).

The real studied cities can be classified into the following urban morphology categories:concentric: Minsk, Cologne, Cologne Left of River Rhine, Darmstadt (2 or 3 source nodes)homogeneous: Manahttan, Barcelona, Parislinear: Volgograd, Wuppertal, Zurich
DOI: 10.5281/zenodo.17463309
title: The Influence of Urban Morphologies on the Resilience of the Water Distribution System - Dataset

description: This dataset includes the green field resilient optimal water distribution design for different real and schematic cities.

The non parameterized network information of the real cities, which was the input data to this dataset, is accessible at DOI: 10.5281/zenodo.17458520.

The underlying cost-benefit optimization of these networks of real as well as schematic cities is done using the MILP published in DOI: 10.5281/zenodo.17458803.This software package includes the postprocessing as well as visualization scripts. Furthermore, version 2 (DOI: 10.5281/zenodo.17458802) of the software includes the scripts used to obtain the networks of the schematic cities (concentric, homogeneous, linear city types/morphologies) varying in size (area).

The non parameterized networks of the studied real cities, which can also be categorized by their urban morphology are derived using the software published in DOI: 10.5281/zenodo.17458349.

A description of the underlying software and geo referenced data is given by Rehm et al. "A Method for Modeling Urban Water Infrastructures Combining Geo-Referenced Data (DOI: 10.3390/w13162299). In detail description of the underlying software and geo referenced data as well as a discussion of the data published her is given by Rehm in her PhD thesis "Generierung und Resilienzbewertung urbaner Wassernetze" (2025).

The real studied cities can be classified into the following urban morphology categories:concentric: Minsk, Cologne, Cologne Left of River Rhine, Darmstadt (2 or 3 source nodes)homogeneous: Manahttan, Barcelona, Parislinear: Volgograd, Wuppertal, Zurich
DOI: 10.3535/sd5-9kc-bnh
title: Brachiopoda Duméril, 1805

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/0ar-rv0-40n
title: Bioerosional trace fossils

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/xyr-l6p-p8j
title: Brachiopoda Duméril, 1805

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.25582/data.2024-03.3074081/2544071
title: Data for EMSL Project 60257 from March 2024
DOI: 10.3535/c7y-ela-7gd
title: Brachiopoda Duméril, 1805

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/37n-ds7-w7j
title: Brachiopoda Duméril, 1805

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/gwd-wew-qrn
title: Brachiopoda Duméril, 1805

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/xff-nvn-rba
title: Brachiopoda Duméril, 1805

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/ezh-vev-kzm
title: Bryozoa

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/tfb-rxy-dye
title: Brachiopoda Duméril, 1805

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.25582/data.2024-03.3074082/2544072
title: Data for EMSL Project 60257 from March 2024
DOI: 10.3535/cqb-csq-xkn
title: †Leangella Öpik, 1933

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.