cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh1217957.10fu
title: SH1217957.10FU

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/sh1217959.10fu
title: SH1217959.10FU

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: 10.5281/zenodo.18483603
title: A lightweight, ultrafast and general embedding framework for large-scale spatial omics data
DOI: 10.15468/dl.x3x9zn
title: Occurrence Download

description: A dataset containing 12305 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-114.73754 32.47168,-113.88313 32.47168,-113.88313 33.1746,-114.73754 33.1746,-114.73754 32.47168))",
 "OccurrenceStatus is Present",
 "TaxonKey is Plantae"
 ]
}

 The dataset includes 12305 records from 116 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012094-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.x2hded
title: Occurrence Download

description: A dataset containing 442 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Epimedium sagittatum",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 442 records from 21 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012095-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.brxtsu
title: Occurrence Download

description: A dataset containing 1305227 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Observation, Machine Observation, Human Observation, Living Specimen, Occurrence evidence)",
 "Continent is one of (South America, North America)",
 "Country is Colombia",
 "OccurrenceStatus is Present",
 "TaxonKey is one of (Mammalia, Amphibia, Insecta)",
 "Year 2000-2026"
 ]
}

 The dataset includes 1305227 records from 1188 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012070-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18486207
title: Urban built environment, lifestyles, dietary habits, physical indicator and health: a machine learning analysis in Japanese cities

description: This repository provides the spatial datasets used in the study “Urban built environment, lifestyles, dietary habits, physical indicators and health: a machine learning analysis in Japanese cities”.

The datasets were compiled and processed by the authors to support the empirical analyses examining the associations between urban built environment characteristics, lifestyle and dietary patterns, physical indicators, and health outcomes across multiple Japanese cities using machine learning approaches.

The shared data primarily include spatially aggregated built environment indicators derived from open urban data sources (https://nlftp.mlit.go.jp/ksj/). These indicators capture multiple dimensions of the urban environment, such as land-use structure, density and accessibility of facilities, transportation-related characteristics, and environmental context. All variables were processed at consistent spatial units to enable integration with individual- or area-level health, lifestyle, and dietary information used in the analysis.

To protect privacy and comply with data governance requirements, no individual-level or personally identifiable information is included in this repository. Health-related, lifestyle, and dietary variables are not shared at the raw microdata level; instead, this repository focuses on the spatial data and derived indicators that can be openly distributed and reused.

The data provided here allow replication of the built environment feature construction process and facilitate reuse in related studies on urban health, spatial epidemiology, and machine learning–based urban analytics. Researchers may combine these spatial indicators with their own health or survey data to explore similar research questions in other contexts.

This dataset is shared for academic research purposes. Users are requested to cite this dataset appropriately when using it in publications or derivative works.
DOI: 10.5281/zenodo.18486208
title: Urban built environment, lifestyles, dietary habits, physical indicator and health: a machine learning analysis in Japanese cities

description: This repository provides the spatial datasets used in the study “Urban built environment, lifestyles, dietary habits, physical indicators and health: a machine learning analysis in Japanese cities”.

The datasets were compiled and processed by the authors to support the empirical analyses examining the associations between urban built environment characteristics, lifestyle and dietary patterns, physical indicators, and health outcomes across multiple Japanese cities using machine learning approaches.

The shared data primarily include spatially aggregated built environment indicators derived from open urban data sources (https://nlftp.mlit.go.jp/ksj/). These indicators capture multiple dimensions of the urban environment, such as land-use structure, density and accessibility of facilities, transportation-related characteristics, and environmental context. All variables were processed at consistent spatial units to enable integration with individual- or area-level health, lifestyle, and dietary information used in the analysis.

To protect privacy and comply with data governance requirements, no individual-level or personally identifiable information is included in this repository. Health-related, lifestyle, and dietary variables are not shared at the raw microdata level; instead, this repository focuses on the spatial data and derived indicators that can be openly distributed and reused.

The data provided here allow replication of the built environment feature construction process and facilitate reuse in related studies on urban health, spatial epidemiology, and machine learning–based urban analytics. Researchers may combine these spatial indicators with their own health or survey data to explore similar research questions in other contexts.

This dataset is shared for academic research purposes. Users are requested to cite this dataset appropriately when using it in publications or derivative works.
DOI: 10.15468/dl.d2p8ec
title: Occurrence Download

description: A dataset containing 685 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Mahathala ameria"
 ]
}

 The dataset includes 685 records from 24 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012096-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.w243pr
title: Occurrence Download

description: A dataset listing the 5 species recorded in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Material sample, Material citation, Specimen)",
 "Geometry POLYGON((-70.02 -55.4,-66.36 -55.4,-66.36 -54.8,-70.02 -54.8,-70.02 -55.4))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Cephalopoda"
 ]
}

 The dataset's 5 records were derived from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012073-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5x4xsc
title: Occurrence Download

description: A dataset containing 953 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Prunus armeniaca",
 "Year is greater than or equal to 1981",
 "Year is less than or equal to 2010",
 "HasCoordinate is true"
 ]
}

 The dataset includes 953 records from 171 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012097-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.k3fuve
title: Occurrence Download

description: A dataset containing 486 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Jeffersonia diphylla",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 486 records from 70 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012099-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8dr5t2
title: Occurrence Download

description: A dataset containing 2904 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Prunus persica",
 "Year is greater than or equal to 1981",
 "Year is less than or equal to 2010",
 "HasCoordinate is true"
 ]
}

 The dataset includes 2904 records from 338 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012098-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.uwhnve
title: Occurrence Download

description: A dataset containing 141 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Jorunna parva"
 ]
}

 The dataset includes 141 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0064635-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.p8bmcn
title: Occurrence Download

description: A dataset containing 60272 records in GBIF matching the query:
SELECT
 "year",
 GBIF_MGRSCode(10000, decimalLatitude, decimalLongitude, 0) AS mgrsCode,
 speciesKey,
 species,
 "order",
 family,
 genus,
 COUNT(*) AS n,
 MIN(COALESCE(coordinateUncertaintyInMeters, 10000)) AS minCoordinateUncertaintyInMeters,
 IF(ISNULL("order"), NULL, SUM(COUNT(*)) OVER (PARTITION BY "order")) AS orderCount,
 IF(ISNULL(family), NULL, SUM(COUNT(*)) OVER (PARTITION BY family)) AS familyCount,
 IF(ISNULL(genus), NULL, SUM(COUNT(*)) OVER (PARTITION BY genus)) AS genusCount
 FROM
 occurrence
 WHERE
 occurrenceStatus = 'PRESENT'
 AND NOT occurrence.basisofrecord IN ('FOSSIL_SPECIMEN', 'LIVING_SPECIMEN')
 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 level1gid = 'BEL.2_1'
 AND "year" &gt;= 2007
 AND "year" &lt;= 2022
 AND speciesKey IS NOT NULL
 AND decimalLatitude IS NOT NULL
 AND decimalLongitude IS NOT NULL
 AND class = 'Aves'
 AND collectionCode = 'ABV'
 AND (coordinateUncertaintyInMeters &lt;= 10000 OR coordinateUncertaintyInMeters IS NULL)
 GROUP BY
 "year",
 mgrsCode,
 speciesKey,
 "order",
 family,
 genus,
 species
 ORDER BY
 "year" ASC,
 mgrsCode ASC,
 speciesKey ASC

 The dataset's 60272 records were derived from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0064612-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.13140/rg.2.1.3653.8967
title: Photogrammetric monitoring of an artificially generated landslide
DOI: 10.5281/zenodo.10824628
title: Temporal Event Knowledge Graphs transformed from Object-Centric Event Logs

description: In the paper"Transforming Object-Centric Event Logs to Temporal Event Knowledge Graphs", we introduced and formalized temporal Event Knowledge Graphs (tEKGs) and presented an algorithm to transform Object-Centric Event Logs (OCEL) 2.0 into tEKGs. Data sets are the results of transforming OCEL 2.0 log files. The source of the generated dump files are as follows:



ContainerLogistics.neo4j.dum : Link to the source data

OrderManagement.neo4j.dump: Link to the source data

Procure-To-Payment.neo4j.dump: Link to the source data


The version of the dump files is 5.12.0. Additionally, for restoring dump files inside Neo4j, you need to enter the username and password, which is indicated below:

Username: neo4j

Password: 12345678
DOI: 10.5281/zenodo.10824627
title: Temporal Event Knowledge Graphs transformed from Object-Centric Event Logs

description: In the paper"Transforming Object-Centric Event Logs to Temporal Event Knowledge Graphs", we introduced and formalized temporal Event Knowledge Graphs (tEKGs) and presented an algorithm to transform Object-Centric Event Logs (OCEL) 2.0 into tEKGs. Data sets are the results of transforming OCEL 2.0 log files. The source of the generated dump files are as follows:



ContainerLogistics.neo4j.dum : Link to the source data

OrderManagement.neo4j.dump: Link to the source data

Procure-To-Payment.neo4j.dump: Link to the source data


The version of the dump files is 5.12.0. Additionally, for restoring dump files inside Neo4j, you need to enter the username and password, which is indicated below:

Username: neo4j

Password: 12345678
DOI: 10.15468/dl.7a8bn7
title: Occurrence Download

description: A dataset containing 45 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON ((-97.5112596000000025 35.4806697000000000, -97.5112596000000025 35.4818749299999965, -97.5112596000000025 35.4835823499999989, -97.5112596000000025 35.4854906300000010, -97.5112596000000025 35.4877002200000007, -97.5112596000000025 35.4894076400000031, -97.5112596000000025 35.4918181000000033, -97.5093461299999973 35.4918181000000033, -97.5078354900000051 35.4918181000000033, -97.5050156399999963 35.4918181000000033, -97.5028000399999968 35.4918181000000033, -97.5011887000000002 35.4918181000000033, -97.5011887000000002 35.4894076400000031, -97.5011887000000002 35.4878006599999978, -97.5011887000000002 35.4865954300000013, -97.5011887000000002 35.4849884500000030, -97.5011887000000002 35.4825779800000021, -97.5011887000000002 35.4806697000000000, -97.5038071299999984 35.4806697000000000, -97.5056198999999992 35.4806697000000000, -97.5070298199999996 35.4806697000000000, -97.5090440000000029 35.4806697000000000, -97.5112596000000025 35.4806697000000000))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1932",
 "BasisOfRecord is one of (Human Observation, Living Specimen, Observation, Specimen, Machine Observation)"
 ]
}

 The dataset includes 45 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0094842-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ctr9qc
title: Occurrence Download

description: A dataset containing 64 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Natatolana angula Bruce, 1986"
 ]
}

 The dataset includes 64 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0125928-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pq3guq
title: Occurrence Download

description: A dataset containing 438 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON ((-73.6783556999999973 42.7243688000000006, -73.6783556999999973 42.7263213000000022, -73.6783556999999973 42.7300868499999993, -73.6783556999999973 42.7327366700000013, -73.6783556999999973 42.7352470299999965, -73.6783556999999973 42.7374784699999992, -73.6783556999999973 42.7395704300000006, -73.6783556999999973 42.7423597299999969, -73.6783556999999973 42.7440332999999981, -73.6751500799999945 42.7440332999999981, -73.6727807000000041 42.7440332999999981, -73.6702719500000001 42.7440332999999981, -73.6665088200000042 42.7440332999999981, -73.6644182000000001 42.7440332999999981, -73.6644182000000001 42.7419413300000031, -73.6644182000000001 42.7387336500000004, -73.6644182000000001 42.7353864999999971, -73.6644182000000001 42.7335734600000023, -73.6644182000000001 42.7316209600000008, -73.6644182000000001 42.7288316699999982, -73.6644182000000001 42.7257634500000023, -73.6644182000000001 42.7243688000000006, -73.6683206999999953 42.7243688000000006, -73.6716657000000055 42.7243688000000006, -73.6740350799999959 42.7243688000000006, -73.6783556999999973 42.7243688000000006))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1932",
 "BasisOfRecord is one of (Human Observation, Living Specimen, Observation, Specimen, Machine Observation)"
 ]
}

 The dataset includes 438 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0094861-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qpkqef
title: Occurrence Download

description: A dataset containing 239 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Anthophora platti Timberlake, 1951"
 ]
}

 The dataset includes 239 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0142815-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.m229ye
title: Occurrence Download

description: A dataset containing 93 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Orania gaskelli (Melvill, 1891)"
 ]
}

 The dataset includes 93 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0094843-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cnsv9y
title: Occurrence Download

description: A dataset listing the 19644 species recorded in GBIF matching the query:
{
 "and" : [
 "Country is Portugal",
 "Year 2003-2010"
 ]
}

 The dataset's 19644 records were derived from 500 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0237341-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.387c3n
title: Occurrence Download

description: A dataset containing 1136 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Ctenosaura acanthura (Shaw, 1802)"
 ]
}

 The dataset includes 1136 records from 56 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0277616-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wnhb3k
title: Occurrence Download

description: A dataset containing 17 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON ((-76.1972484000000065 43.0521710000000013, -76.1972484000000065 43.0541028999999966, -76.1972484000000065 43.0556323300000017, -76.1972484000000065 43.0570007600000011, -76.1972484000000065 43.0585301799999982, -76.1972484000000065 43.0602206000000010, -76.1961217000000062 43.0602206000000010, -76.1948340499999972 43.0602206000000010, -76.1929830699999968 43.0602206000000010, -76.1908906500000001 43.0602206000000010, -76.1895225399999987 43.0602206000000010, -76.1877520299999986 43.0602206000000010, -76.1865448700000059 43.0602206000000010, -76.1850157899999942 43.0602206000000010, -76.1834867000000031 43.0602206000000010, -76.1834867000000031 43.0588521700000015, -76.1834867000000031 43.0580472099999980, -76.1834867000000031 43.0563567900000024, -76.1834867000000031 43.0552298500000035, -76.1834867000000031 43.0535394300000007, -76.1834867000000031 43.0521710000000013, -76.1849353100000002 43.0521710000000013, -76.1866253400000062 43.0521710000000013, -76.1876715500000046 43.0521710000000013, -76.1890396699999997 43.0521710000000013, -76.1908101799999997 43.0521710000000013, -76.1930635500000051 43.0521710000000013, -76.1953974000000045 43.0521710000000013, -76.1972484000000065 43.0521710000000013))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1932",
 "BasisOfRecord is one of (Human Observation, Living Specimen, Observation, Specimen, Machine Observation)"
 ]
}

 The dataset includes 17 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0094844-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.w8hjeb
title: Occurrence Download

description: A dataset containing 1346 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Hypericum canadense L.",
 "HasCoordinate is true",
 "Year is greater than or equal to 1900",
 "BasisOfRecord is one of (Human Observation, Specimen, Unknown evidence)"
 ]
}

 The dataset includes 1346 records from 70 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0050758-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.svpmu9
title: Occurrence Download

description: A dataset containing 78 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Conus bairstowi G.B.Sowerby Iii, 1889"
 ]
}

 The dataset includes 78 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0082964-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.