cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.abwezp
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Costa Rica",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Glaucidium brasilianum (J.F.Gmelin, 1788)",
 "Year 1920-1930"
 ]
}

 The dataset includes 3 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0060435-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.iy3nis
title: Occurrence Download

description: A dataset containing 1112 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Eothenomys melanogaster (Milne-Edwards, 1871)"
 ]
}

 The dataset includes 1112 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037299-180508205500799/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.onpolt
title: Occurrence Download

description: A dataset containing 826 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Geometry POLYGON((-10 35,5 35,5 44,-10 44,-10 35))",
 "HasCoordinate is true",
 "TaxonKey is Rosa canina L.",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 826 records from 40 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014052-200127171203522/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xx72wv
title: Occurrence Download

description: A dataset containing 64 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-7.8 40.2,-7.2 40.2,-7.2 40.8,-7.8 40.8,-7.8 40.2))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is one of (Narcissus asturiensis (Jord.) Pugsley, Veronica micrantha Hoffmanns. & Link, Festuca summilusitana Franco & Rocha Afonso, Festuca elegans Boiss., Centaurea rothmalerana (Arènes) Dostál, Bruchia vogesiaca Nestl. ex Schwägr.)",
 "Year 2010-2024"
 ]
}

 The dataset includes 64 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0060434-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.owgaww
title: Occurrence Download

description: A dataset containing 1139 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Year 1901-2020",
 "TaxonKey is Euphydryas editha (Boisduval, 1852)"
 ]
}

 The dataset includes 1139 records from 32 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027384-200221144449610/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.25566132
title: The Yangtse River_CIPs_10m_2021.rar

description: By combining random forest and active learning methods, a multi-dimensional discriminative feature space was constructed using a large number of collected and annotated samples from chemical industrial parks and non-chemical industrial park areas, along with publicly available Sentinel-2 remote sensing imagery data. This feature space integrates spectral and texture features, along with the general physical characteristics of chemical industrial parks identified through POI recognition. Utilizing partitioned training on the Google Earth Engine (GEE) platform, precise predictions of chemical industrial parks along the Yangtze River were achieved. Through technical validation, the model achieved an accuracy rate of 80%. This study provides, for the first time, distribution map data of chemical industrial parks within a 5km range along the Yangtze River with a resolution of 10m. It offers a scientific basis for the fine-grained governance of chemical industries along the Yangtze River and provides a model methodology guide for the precise identification and sustainable development of the chemical industry within world-class river basins.
DOI: 10.15468/dl.nym42g
title: Occurrence Download

description: A dataset containing 418 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Marine algal (seaweed) flora of Terceira Island, Azores"
 ]
}

 The dataset includes 418 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002500-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.25566132.v2
title: The Yangtse River_CIPs_10m_2021.rar

description: By combining random forest and active learning methods, a multi-dimensional discriminative feature space was constructed using a large number of collected and annotated samples from chemical industrial parks and non-chemical industrial park areas, along with publicly available Sentinel-2 remote sensing imagery data. This feature space integrates spectral and texture features, along with the general physical characteristics of chemical industrial parks identified through POI recognition. Utilizing partitioned training on the Google Earth Engine (GEE) platform, precise predictions of chemical industrial parks along the Yangtze River were achieved. Through technical validation, the model achieved an accuracy rate of 80%. This study provides, for the first time, distribution map data of chemical industrial parks within a 5km range along the Yangtze River with a resolution of 10m. It offers a scientific basis for the fine-grained governance of chemical industries along the Yangtze River and provides a model methodology guide for the precise identification and sustainable development of the chemical industry within world-class river basins.
DOI: 10.15468/dl.swt6ny
title: Occurrence Download

description: A dataset containing 11 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Berberis ferdinandi-coburgii C.K.Schneid."
 ]
}

 The dataset includes 11 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0122271-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5hv975
title: Occurrence Download

description: A dataset containing 54 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Phyllonorycter lucidicostella (Clemens, 1859)",
 {
 "or" : [
 "Country is United States of America",
 "Country is United States",
 "Country is United States of America",
 "Country is Canada",
 "Continent is North America"
 ]
 }
 ]
}

 The dataset includes 54 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0130612-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gwazhp
title: Occurrence Download

description: A dataset containing 1111 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Anolis biporcatus (Wiegmann, 1834)"
 ]
}

 The dataset includes 1111 records from 63 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001510-180920211646547/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nzbugd
title: Occurrence Download

description: A dataset containing 72 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Setariidae",
 "HasCoordinate is TRUE"
 ]
}

 The dataset includes 72 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001510-181003121212138/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nvxpj3
title: Occurrence Download

description: A dataset containing 39 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Abarema limae Iganci & M.P.Lima"
 ]
}

 The dataset includes 39 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002524-190918142434337/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bw9gso
title: Occurrence Download

description: A dataset containing 170 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Colombia",
 {
 "or" : [
 "DatasetKey is Colección de Entomología del Instituto de Investigación de Recursos Biológicos Alexander von Humboldt (IAvH-E)",
 "DatasetKey is Coleópteros coprófagos y fitófagos de la desembocadura del caño Teracay en el río Tomo, Puerto Carreño, Vichada - Proyecto Colombia Bio",
 "DatasetKey is Escarabajos coprófagos en ecosistemas agropecuarios de la quebrada Piedra Candela, en la altillanura plana del Meta",
 "DatasetKey is Escarabajos coprófagos (Scarabaeidae: Scarabaeinae) de las sabanas inundables de las cuencas de los ríos Bita, Manacacías y Cravo Sur - SULU II",
 "DatasetKey is Escarabajos coprófagos de la cuenca alta y media del río Bita, Vichada (Colombia)",
 "DatasetKey is Escarabajos estercoleros asociados a sistemas de ganadería sostenible en diferentes regiones de Colombia",
 "DatasetKey is Entomofauna laguna El Tinije",
 "DatasetKey is Estudio de Biodiversidad Mina Calenturitas, Temporada de Lluvias",
 "DatasetKey is Inventario de fauna presente en la jurisdicción de Corantioquia",
 "DatasetKey is Tejidos de la desembocadura del caño Teracay en el río Tomo, Puerto Carreño, Vichada - Proyecto Colombia Bio"
 ]
 },
 "HasCoordinate is true",
 "TaxonKey is Coprophanaeus telamon (Erichson, 1847)",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 170 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001510-190621201848488/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.0fpklj
title: Occurrence Download

description: A dataset containing 363767 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Country is Spain",
 "TaxonKey is Mammalia"
 ]
}

 The dataset includes 363767 records from 29 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0043651-191105090559680/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fzdrrz
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "ScientificName is Orgyia pseudotsugata",
 "Continent is North America"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0122267-210914110416597/datasets/export for details.
DOI: 10.15468/dl.cz4t27
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "ScientificName is Phytophthora austrocedri",
 "Continent is North America"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0122274-210914110416597/datasets/export for details.
DOI: 10.15468/dl.lapbag
title: Occurrence Download

description: A dataset containing 48 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Vigna bequaertii R.Wilczek"
 ]
}

 The dataset includes 48 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009380-180131172636756/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bqpvyq
title: Occurrence Download

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Costa Rica",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Glaucidium brasilianum (J.F.Gmelin, 1788)",
 "Year 1930-1940"
 ]
}

 The dataset includes 5 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0060436-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.evz3dh
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON ((-73.9349906000000061 42.8060983000000022, -73.9349906000000061 42.8065602799999994, -73.9349906000000061 42.8071288699999997, -73.9349906000000061 42.8077329999999989, -73.9349906000000061 42.8083726699999971, -73.9349906000000061 42.8089768000000035, -73.9349906000000061 42.8096519999999998, -73.9341391699999946 42.8096519999999998, -73.9331813799999935 42.8096519999999998, -73.9322235900000067 42.8096519999999998, -73.9314786399999946 42.8096519999999998, -73.9308046400000052 42.8096519999999998, -73.9302370000000053 42.8096519999999998, -73.9302370000000053 42.8090834099999995, -73.9302370000000053 42.8083371299999982, -73.9302370000000053 42.8078040799999968, -73.9302370000000053 42.8071288699999997, -73.9302370000000053 42.8064536700000033, -73.9302370000000053 42.8060983000000022, -73.9311593799999969 42.8060983000000022, -73.9319397999999950 42.8060983000000022, -73.9329685400000045 42.8060983000000022, -73.9338553799999971 42.8060983000000022, -73.9342455900000033 42.8060983000000022, -73.9349906000000061 42.8060983000000022))",
 "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 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0096064-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.a9exh4
title: Occurrence Download

description: A dataset listing the 9796 species recorded in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((29.42409 -22.48249,29.06599 -23.36201,29.82199 -23.82691,31.2345 -23.67213,30.97587 -22.52844,29.42409 -22.48249))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset's 9796 records were derived from 194 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0096053-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kwfqyn
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "ScientificName is Siphonatrophia cupressi",
 "Continent is North America"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0122301-210914110416597/datasets/export for details.
DOI: 10.15468/dl.z3dwp4
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "ScientificName is Lymantria dispar",
 "Continent is North America"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0122325-210914110416597/datasets/export for details.
DOI: 10.15468/dl.4csc7e
title: Occurrence Download

description: A dataset containing 154 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Oporornis philadelphia (A.Wilson, 1810)"
 ]
}

 The dataset includes 154 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0083064-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8mtzze
title: Occurrence Download

description: A dataset containing 383 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Ecuador",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "PublishingOrg is one of (90fd6680-349f-11d8-aa2d-b8a03c50a862, 8e1a97a0-3ca8-11d9-8439-b8a03c50a862, 0ed04352-6745-4665-9e11-7117ee91a96b, ae447c50-b8a8-11d8-92a4-b8a03c50a862, ef807e08-c954-487f-9e70-3cc75f173812, f0b6a090-a4c6-11d8-9534-b8a03c50a862, 6ba9a8cc-513a-4a51-bf93-6f5de8040a96, d0e01e0c-7e8c-49aa-aeed-15fab7dfee46, 396d5f30-dea9-11db-8ab4-b8a03c50a862)",
 "TaxonKey is Equisetum bogotense Kunth"
 ]
}

 The dataset includes 383 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018269-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.82emcj
title: Occurrence Download

description: A dataset containing 45572 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-73.93122 45.41966,-73.94715 45.42012,-73.94831 45.41891,-73.94444 45.40214,-73.93377 45.40411,-73.93122 45.41966))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 45572 records from 35 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006695-250227182430271/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.p7zwjp
title: Occurrence Download

description: A dataset containing 168 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Artemisia ordosica Krasch."
 ]
}

 The dataset includes 168 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006696-250227182430271/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jkhasf
title: Occurrence Download

description: A dataset containing 14372 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Solanum sisymbriifolium Lam."
 ]
}

 The dataset includes 14372 records from 419 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006671-250227182400228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.a8uhms
title: Occurrence Download

description: A dataset containing 10 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Philippines National Museum Birds Collection"
 ]
}

 The dataset includes 10 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006672-250227182400228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2wckkn
title: Occurrence Download

description: A dataset containing 9524 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Phylogenomics and the rise of the angiosperms"
 ]
}

 The dataset includes 9524 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006673-250227182400228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14977857
title: Integrating Cyber-Physical Systems with embedding technology for controlling autonomous vehicle driving

description: Cyber-physical systems (CPSs) in autonomous vehicles must handle highly dynamic and uncertain settings, where unanticipated impediments, shifting traffic conditions, and environmental changes all provide substantial decision-making issues. Deep reinforcement learning (DRL) has emerged as a strong tool for dealing with such uncertainty. Yet, current DRL models struggle to ensure safety and optimal behaviour in indeterminate settings due to the difficulties of understanding dynamic reward systems. This study incorporates Double Deep Q Networks (DDQN) to address these constraints and improve the agent's adaptability under uncertain driving conditions. A structured reward system is established to accommodate real-time fluctuations, resulting in safer and more efficient decision-making. The study acknowledges the technological limitations of automobile CPSs and investigates hardware acceleration as a potential remedy in addition to algorithmic enhancements. Because of their post-manufacturing adaptability, parallel processing capabilities, and reconfigurability, Field Programmable Gate Arrays (FPGAs) are used to execute reinforcement learning in real-time. Using essential parameters, including collision rate, behaviour similarity, travel distance, speed control, total rewards, and timesteps, the suggested method is thoroughly tested in the TORCS Racing Simulator. The findings show that combining FPGA-based hardware acceleration with DDQN successfully improves computational efficiency and decision-making reliability, tackling significant issues brought on by uncertainty in autonomous driving CPSs. In addition to advancing reinforcement learning applications in CPSs, this work opens up possibilities for future investigations into real-world generalisation, adaptive reward mechanisms, and scalable hardware implementations to further reduce uncertainty in autonomous systems.