cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.34894/2nougd
title: 26.010 Bodegraven - Willemstraat 59

description: Bij archeologisch onderzoek ter plaatse van de Willemstraat 59 in Bodegraven zijn twee eiken (Quercus sp.) palen geborgen en bemonsterd voor dendrochronologisch onderzoek.
Over de context van de vondsten is geen informatie verstrekt.
Beide monsters kunnen gedateerd worden in de eerste eeuw na Chr.
Vondstnr. 21.2 dateert in 61 na Chr. en uit de aanwezigheid van de wankant volgt een kapseizoen in de herfst/winter van 61/62 na Chr.
Vondstnr.22.2 dateert in 28 na Chr. Het spinthout is deel bewaard gebleven en hiermee kan een kapinterval rond 35 na Chr. geschat worden.
DOI: 10.15468/dl.ugfgrb
title: Occurrence Download

description: A dataset containing 897450 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is AntWeb"
 ]
}

 The dataset includes 897450 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009533-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.j262a5
title: Occurrence Download

description: A dataset listing the 563 species recorded in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((16.56354 47.93422,16.5985 47.93422,16.5985 47.95252,16.56354 47.95252,16.56354 47.93422))",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "Year 1000-2020"
 ]
}

 The dataset's 563 records were derived from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009525-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.y2wny7
title: Occurrence Download

description: A dataset containing 392 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Steromphala rarilineata",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 392 records from 29 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009554-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/vlbv3l
title: Bees of Ireland

description: Data on the distribution of bees from both published and unpublished sources have been compiled into a national database on Ireland's bees.
DOI: 10.15468/dl.utjcss
title: Occurrence Download

description: A dataset containing 1250 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Veronica spicata, Pseudolysimachion spicatum)",
 "Year is greater than or equal to 1900",
 "Geometry POLYGON ((8.643 46.99, 14.1 46.92, 14.43 50.75, 8.534 50.83, 8.643 46.99))",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Observation, Human Observation, Machine Observation, Material sample)"
 ]
}

 The dataset includes 1250 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009552-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jcta42
title: Occurrence Download

description: A dataset containing 1187 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((5.049 45.86713,5.04487 45.86524,5.0457 45.85439,5.04924 45.84637,5.05136 45.84307,5.05714 45.84425,5.06174 45.84543,5.06681 45.84779,5.06445 45.85793,5.06587 45.86536,5.06339 45.86902,5.04971 45.86902,5.049 45.86713))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year 2016-2026"
 ]
}

 The dataset includes 1187 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009553-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hnuusq
title: Occurrence Download

description: A dataset containing 11557 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Veronica teucrium, Veronica teucrium, Veronica teucrium, Veronica teucrium, Veronica teucrium, Veronica latifolia, Veronica latifolia, Veronica latifolia)",
 "Year is greater than or equal to 1900",
 "Geometry POLYGON ((8.643 46.99, 14.1 46.92, 14.43 50.75, 8.534 50.83, 8.643 46.99))",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Observation, Human Observation, Machine Observation, Material sample)"
 ]
}

 The dataset includes 11557 records from 39 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009555-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.eants6
title: Occurrence Download

description: A dataset containing 520 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Corispermum hyssopifolium",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 520 records from 70 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009556-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.z33u4d
title: Occurrence Download

description: A dataset containing 178 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Steromphala racketti",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 178 records from 21 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009558-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.z9v7rx
title: Occurrence Download

description: A dataset containing 652 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Veronica verna)",
 "Year is greater than or equal to 1900",
 "Geometry POLYGON ((8.643 46.99, 14.1 46.92, 14.43 50.75, 8.534 50.83, 8.643 46.99))",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Observation, Human Observation, Machine Observation, Material sample)"
 ]
}

 The dataset includes 652 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009560-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.2908/trng_aes_192
title: Personnes ne souhaitant pas participer à l'éducation et à la formation par raison principale et sexe
title: Persons who do not want to participate in education and training by main reason and sex
title: Personen, die nicht an Bildung oder Weiterbildung teilnehmen möchten, nach Hauptgrund und Geschlecht
DOI: 10.2908/trng_aes_193
title: Personnes ne souhaitant pas participer à l'éducation et à la formation par raison principale et âge
title: Persons who do not want to participate in education and training by main reason and age
title: Personen, die nicht an Bildung oder Weiterbildung teilnehmen möchten, nach Hauptgrund und Alter
DOI: 10.2908/trng_aes_179
title: Personen, die an Bildung oder Weiterbildung teilnehmen möchten, dies aber nicht tun, nach Hauptgrund und Geschlecht
title: Persons who want to participate in education and training but do not by main reason and sex
title: Personnes souhaitant participer à l'éducation et à la formation mais ne le faisant pas par raison principale et sexe
DOI: 10.2908/trng_aes_180
title: Personen, die an Bildung oder Weiterbildung teilnehmen möchten, dies aber nicht tun, nach Hauptgrund und Alter
title: Personnes souhaitant participer à l'éducation et à la formation mais ne le faisant pas par raison principale et âge
title: Persons who want to participate in education and training but do not by main reason and age
DOI: 10.15468/dl.f5383e
title: Occurrence Download

description: A dataset containing 5267 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Vicia angustifolia, Vicia angustifolia, Vicia angustifolia, Vicia angustifolia, Vicia angustifolia, Vicia angustifolia)",
 "Year is greater than or equal to 1900",
 "Geometry POLYGON ((8.643 46.99, 14.1 46.92, 14.43 50.75, 8.534 50.83, 8.643 46.99))",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Observation, Human Observation, Machine Observation, Material sample)"
 ]
}

 The dataset includes 5267 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009561-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.26165/juelich-data/u2uvx6
title: ETHOS.FINE: A Framework for Integrated Energy System Assessment

description: The ETHOS.FINE python package provides a framework for modeling, optimizing and assessing energy systems. With the provided framework, systems with multiple regions, commodities, time steps and investment periods can be modeled. Target of the optimization is the minimization of the systems net present value (NPV) while considering technical and environmental constraints. If only one investment period is considered, the net present value is equal to the total annual costs (TAC). Besides using the full temporal resolution, an interconnected typical period storage formulation can be applied, that reduces the complexity and computational time of the model.
DOI: 10.15468/dl.uv5sz2
title: Occurrence Download

description: A dataset containing 448848 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Meles meles",
 "Continent is Europe",
 "HasCoordinate is true"
 ]
}

 The dataset includes 448848 records from 2481 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009459-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh1208597.10fu
title: SH1208597.10FU

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/sh1208599.10fu
title: SH1208599.10FU

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/sh1208600.10fu
title: SH1208600.10FU

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/sh1208601.10fu
title: SH1208601.10FU

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/sh1208603.10fu
title: SH1208603.10FU

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/sh1208604.10fu
title: SH1208604.10FU

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/sh1208606.10fu
title: SH1208606.10FU

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/sh1208607.10fu
title: SH1208607.10FU

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/sh1208609.10fu
title: SH1208609.10FU

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/sh1208611.10fu
title: SH1208611.10FU

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.jthmr5
title: Occurrence Download

description: A dataset containing 1213538 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Thalasseus maximus (Boddaert, 1783)"
 ]
}

 The dataset includes 1213538 records from 285 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0050409-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6raspk
title: Occurrence Download

description: A dataset listing the 34254841 species recorded in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "HasCoordinate is true",
 "TaxonKey is Plantae",
 "HasGeospatialIssue is false"
 ]
}

 The dataset's 34254841 records were derived from 1277 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011843-190320150433242/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ehtzil
title: Occurrence Download

description: A dataset containing 93 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Nothofagus aequilateralis (Baum.-Bod.) Steenis"
 ]
}

 The dataset includes 93 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003475-181108115102211/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dfh38k
title: Occurrence Download

description: A dataset containing 37 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is India",
 {
 "or" : [
 "TaxonKey is Bambusa pseudopallida R.B.Majumdar",
 "TaxonKey is Bambusa pallida Munro"
 ]
 }
 ]
}

 The dataset includes 37 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0033271-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.