cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.17474199
title: DS.01.02a Macro level FW quantification

description: This database aims to provide comprehensive methodological information on how the 27 Member States and 2 associated countries (Norway and Iceland) quantified and reported food waste to Eurostat for the reference year 2022, in line with the requirements of the EU Waste Framework Directive (Directive 2008/98/EC) and the associated Commission Delegated Decision (EU) 2019/1597. It compiles and systematises country-level metadata describing the approaches used for food waste estimation across the different stages of the food supply chain. Specifically, the database documents the sampling strategies adopted, the scaling-up methodologies applied to extrapolate sample data to national totals, and the extent to which voluntary information were integrated into national reporting.

Data collection was based on  a multi-step process, based on the combination of different sources, including the Eurostat Quality Reports submitted by Member States, semi-structured interviews, a Webropol survey, and a validation round. The dialogue for data collection, interpretation, and validation took place directly with the national contact point of each country.
DOI: 10.5281/zenodo.17474200
title: DS.01.02a Macro level FW quantification

description: This database aims to provide comprehensive methodological information on how the 27 Member States and 2 associated countries (Norway and Iceland) quantified and reported food waste to Eurostat for the reference year 2022, in line with the requirements of the EU Waste Framework Directive (Directive 2008/98/EC) and the associated Commission Delegated Decision (EU) 2019/1597. It compiles and systematises country-level metadata describing the approaches used for food waste estimation across the different stages of the food supply chain. Specifically, the database documents the sampling strategies adopted, the scaling-up methodologies applied to extrapolate sample data to national totals, and the extent to which voluntary information were integrated into national reporting.

Data collection was based on  a multi-step process, based on the combination of different sources, including the Eurostat Quality Reports submitted by Member States, semi-structured interviews, a Webropol survey, and a validation round. The dialogue for data collection, interpretation, and validation took place directly with the national contact point of each country.
DOI: 10.15468/dl.n3qenq
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Weigela candida",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007849-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17467370
title: 3D Bayesian Variational Surface Wave Tomography and Application to the Southwest China

description: The dataset relates to the manuscript "3D Bayesian Variational surface wave tomography and application to the Southwest China".
DOI: 10.5281/zenodo.17467371
title: 3D Bayesian Variational Surface Wave Tomography and Application to the Southwest China

description: The dataset relates to the manuscript "3D Bayesian Variational surface wave tomography and application to the Southwest China".
DOI: 10.15468/dl.ua994t
title: Occurrence Download

description: A dataset containing 65312 records in GBIF matching the query:

SELECT
 GBIF_EEARGCode(
 10000,
 decimalLatitude,
 decimalLongitude,
 0
 ) AS cellcode,
 COUNT(*) FROM occurrence
WHERE occurrenceStatus = 'PRESENT'
 AND countryCode = 'DE'
 AND hasCoordinate = TRUE
 AND (coordinateUncertaintyInMeters &lt;= 10000 OR coordinateUncertaintyInMeters IS NULL)
 AND speciesKey IS NOT NULL
 AND "year" &gt;= 2000
 AND "year" &gt;= 2000
 AND NOT ARRAY_CONTAINS(issue, 'ZERO_COORDINATE')
 AND NOT ARRAY_CONTAINS(issue, 'COORDINATE_OUT_OF_RANGE')
 AND NOT ARRAY_CONTAINS(issue, 'COORDINATE_INVALID')
 AND NOT ARRAY_CONTAINS(issue, 'COUNTRY_COORDINATE_MISMATCH')
 AND basisofrecord = 'HUMAN_OBSERVATION' OR basisofrecord = 'MACHINE_OBSERVATION' OR basisofrecord = 'OBSERVATION'
GROUP BY cellcode


 The dataset's 65312 records were derived from 3112 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007829-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kxr66d
title: Occurrence Download

description: A dataset containing 4709 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Wasps of Ireland"
 ]
}

 The dataset includes 4709 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006573-250415084134356/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.me5e7r
title: Occurrence Download

description: A dataset containing 18580 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Dominican Republic",
 "DatasetKey is EOD – eBird Observation Dataset",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Scolopacidae",
 "Year 2002-2025"
 ]
}

 The dataset includes 18580 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000338-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.72584k
title: Occurrence Download

description: A dataset containing 81 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((71.464353 22.686541, 71.388239 22.680964, 71.31401700000001 22.664373, 71.24353000000001 22.637179, 71.178528 22.600058, 71.120619 22.553932, 71.071231 22.499944, 71.031578 22.439432, 71.002627 22.373894, 70.985078 22.304948, 70.979347 22.234296, 70.985558 22.163679, 71.00354 22.094834, 71.03283500000001 22.029452, 71.072709 21.969139, 71.122173 21.91537, 71.18000600000001 21.869464, 71.244787 21.832541, 71.31493 21.805504, 71.38871899999999 21.789014, 71.464353 21.783472, 71.539987 21.789014, 71.613776 21.805504, 71.683919 21.832541, 71.7487 21.869464, 71.806533 21.91537, 71.855997 21.969139, 71.895871 22.029452, 71.925166 22.094834, 71.94314799999999 22.163679, 71.949359 22.234296, 71.943628 22.304948, 71.926079 22.373894, 71.897128 22.439432, 71.85747499999999 22.499944, 71.808087 22.553932, 71.75017800000001 22.600058, 71.685176 22.637179, 71.614689 22.664373, 71.54046700000001 22.680964, 71.464353 22.686541))"},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 81 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000340-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yqt4pu
title: Occurrence Download

description: A dataset containing 4421 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Timor-Leste",
 "DatasetKey is EOD – eBird Observation Dataset",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Scolopacidae",
 "Year 2002-2025"
 ]
}

 The dataset includes 4421 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000339-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.afrhsg
title: Occurrence Download

description: A dataset containing 17 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Stenothoe dollfusi Chevreux, 1887"
 ]
}

 The dataset includes 17 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0133048-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gw3vsz
title: Occurrence Download

description: A dataset containing 17596 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "TaxonKey is Lagenorhynchus Gray, 1846"
 ]
}

 The dataset includes 17596 records from 208 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016608-210819072339941/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2cs546
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Draba muscosa (DC.) Ruiz & Pav. ex Steud."
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046231-220831081235567/datasets/export for details.
DOI: 10.15468/dl.hgbq3e
title: Occurrence Download

description: A dataset containing 1716 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Agave parryi Engelm."
 ]
}

 The dataset includes 1716 records from 70 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000282-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.oxhjh0
title: Occurrence Download

description: A dataset containing 4591 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is WII Herbarium Dataset"
 ]
}

 The dataset includes 4591 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012060-190415153152247/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jg3fqs
title: Occurrence Download

description: A dataset containing 47828 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Natagriwal ; Observations made from operations within Natura 2000 habitats and other semi-natural areas"
 ]
}

 The dataset includes 47828 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0214891-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.t3kvnn
title: Occurrence Download

description: A dataset containing 109 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Colombia",
 "OccurrenceStatus is Present",
 "TaxonKey is Aotus brumbacki Hershkovitz, 1983"
 ]
}

 The dataset includes 109 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0050400-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9exsst
title: Occurrence Download

description: A dataset containing 139 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "GadmGid is BRA.7_1",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Baryphthengus ruficapillus (Vieillot, 1818)",
 "Year 2000-2019"
 ]
}

 The dataset includes 139 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0229414-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4tb9t4
title: Occurrence Download

description: A dataset containing 482647 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Aphantopus hyperantus (Linnaeus, 1758)"
 ]
}

 The dataset includes 482647 records from 243 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012061-180131172636756/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.86jgbq
title: Occurrence Download

description: A dataset containing 46558 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Ursidae"
 ]
}

 The dataset includes 46558 records from 348 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0240562-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zgjdtr
title: Occurrence Download

description: A dataset containing 51 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Asia",
 "Country is China",
 "OccurrenceStatus is Present",
 "TaxonKey is Tetraophasis szechenyii Madarász, 1885"
 ]
}

 The dataset includes 51 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0214899-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.b5ajwd
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((5.72176 -0.57066,8.18466 -0.57066,8.18466 2.16204,5.72176 2.16204,5.72176 -0.57066))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Culcasia angolensis Welw. ex Schott"
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0219985-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pcv5su
title: Occurrence Download

description: A dataset containing 2410 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Heteromys gaumeri J.A.Allen & Chapman, 1897"
 ]
}

 The dataset includes 2410 records from 36 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012061-180730143533302/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mnskbk
title: Occurrence Download

description: A dataset containing 1849 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Phocoenidae"
 ]
}

 The dataset includes 1849 records from 54 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0245621-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.sxszhj
title: Occurrence Download

description: A dataset containing 88267 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "BasisOfRecord is Specimen",
 "BasisOfRecord is Living Specimen",
 "BasisOfRecord is Fossil",
 "BasisOfRecord is Literature Occurrence"
 ]
 },
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Cupressaceae"
 ]
}

 The dataset includes 88267 records from 625 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0275448-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh1204473.10fu
title: SH1204473.10FU

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/sh1204474.10fu
title: SH1204474.10FU

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/sh1204476.10fu
title: SH1204476.10FU

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/sh1204479.10fu
title: SH1204479.10FU

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/sh1204480.10fu
title: SH1204480.10FU

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/sh1204481.10fu
title: SH1204481.10FU

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.