cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.3535/f6q-ds4-nfm
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/n6z-wrc-pat
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/5cg-ef3-601
title: Lepidoptera Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/7rh-r5r-5wf
title: Kallima Doubleday, 1849

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/rbn-khr-78s
title: Lepidoptera Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/7vn-ayt-lgs
title: Lepidoptera Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/c3q-qgk-ygd
title: Noctuidae

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/dqy-mrm-wqa
title: Lepidoptera Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/n7n-m5g-r7s
title: Lepidoptera Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/bvm-v7f-2y9
title: Lepidoptera Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/hja-9vy-mm1
title: Lepidoptera Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/s0m-b7g-b3d
title: Lepidoptera Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/hrw-v4d-ry8
title: Nymphalidae

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/rs6-pj7-jxr
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/055-fz9-cpn
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/4py-9e5-a5z
title: Lepidoptera Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/t5v-h97-byx
title: Lepidoptera Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/t64-m14-jxg
title: Lepidoptera Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.5281/zenodo.17316370
title: Spatial Dataset for Multi-Source Renewable Energy Potential Assessment in the Makran Region, Iran

description: This dataset provides spatial maps of criteria and model outputs used to evaluate and identify potential sites for developing solar, wind, and geothermal renewable energy power plants in the Makran region, southeastern Iran. The data were generated as part of the study titled “A Scenario-Based Framework for Spatial Assessment of Multi-Source Renewable Energy Parks: A case study of Makran region in Iran.”

The dataset includes spatial criteria maps (such as production capacity, cost, infrastructure, demand, and environmental impact) and spatial constraint maps that were used in a multi-criteria decision-making analysis employing the Ordered Weighted Averaging (OWA) method. The OWA model was applied to simulate a wide range of decision-making scenarios, from highly pessimistic to highly optimistic.

The results identify areas with high renewable energy development potential under different scenarios and combine these outcomes to produce a spatial agreement map highlighting zones with overlapping suitability for solar, wind, and geothermal energy development. These data provide a valuable resource for spatial planning and strategic decision-making in sustainable energy development.

The dataset includes:

-Spatial criteria maps for solar, wind, and geothermal energy

-Spatial constraint maps

-OWA model outputs for different decision-making scenarios

-Final spatial agreement map of high-potential zones
DOI: 10.5281/zenodo.17316371
title: Spatial Dataset for Multi-Source Renewable Energy Potential Assessment in the Makran Region, Iran

description: This dataset provides spatial maps of criteria and model outputs used to evaluate and identify potential sites for developing solar, wind, and geothermal renewable energy power plants in the Makran region, southeastern Iran. The data were generated as part of the study titled “A Scenario-Based Framework for Spatial Assessment of Multi-Source Renewable Energy Parks: A case study of Makran region in Iran.”

The dataset includes spatial criteria maps (such as production capacity, cost, infrastructure, demand, and environmental impact) and spatial constraint maps that were used in a multi-criteria decision-making analysis employing the Ordered Weighted Averaging (OWA) method. The OWA model was applied to simulate a wide range of decision-making scenarios, from highly pessimistic to highly optimistic.

The results identify areas with high renewable energy development potential under different scenarios and combine these outcomes to produce a spatial agreement map highlighting zones with overlapping suitability for solar, wind, and geothermal energy development. These data provide a valuable resource for spatial planning and strategic decision-making in sustainable energy development.

The dataset includes:

-Spatial criteria maps for solar, wind, and geothermal energy

-Spatial constraint maps

-OWA model outputs for different decision-making scenarios

-Final spatial agreement map of high-potential zones
DOI: 10.15468/dl.9z337f
title: Occurrence Download

description: A dataset containing 59 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Latania loddigesii)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 59 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006663-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15800741
title: Geração de textos dinâmicos e criativos com Grandes Modelos de Linguagem (LLMs): uma revisão sistemática

description:  

O presente conjunto de dados conforma o BibTex no formato Zotero e Rayan. Ambos arquivos utilizados para a revisão sistemática dos estudos publicados entre 2014 e 2024 na base de periódicos OpenAlex.
DOI: 10.5281/zenodo.15800742
title: Geração de textos dinâmicos e criativos com Grandes Modelos de Linguagem (LLMs): uma revisão sistemática

description:  

O presente conjunto de dados conforma o BibTex no formato Zotero e Rayan. Ambos arquivos utilizados para a revisão sistemática dos estudos publicados entre 2014 e 2024 na base de periódicos OpenAlex.
DOI: 10.15468/dl.hht45g
title: Occurrence Download

description: A dataset containing 62 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Tupinambis cryptus Murphy, Jowers, Lehtinen, Charles, Colli, Peres Jr, Hendry & Pyron, 2016"
 ]
}

 The dataset includes 62 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012876-210819072339941/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mn99ww
title: Occurrence Download

description: A dataset containing 8924 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "BasisOfRecord is Observation",
 "BasisOfRecord is Machine Observation",
 "BasisOfRecord is Human Observation",
 "BasisOfRecord is Material sample"
 ]
 },
 "Continent is Asia",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Plantae",
 "Year 1962-2021"
 ]
}

 The dataset includes 8924 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0258059-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rwfp2s
title: Occurrence Download

description: A dataset containing 29646 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Corydalis cava (L.) Schweigg. & Körte"
 ]
}

 The dataset includes 29646 records from 245 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0213578-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ign93i
title: Occurrence Download

description: A dataset containing 348269 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Reef Life Survey: Global reef fish dataset"
 ]
}

 The dataset includes 348269 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013337-190415153152247/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.sfyunm
title: Occurrence Download

description: A dataset containing 64113 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Lepidium draba L."
 ]
}

 The dataset includes 64113 records from 545 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0267453-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9nkusa
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Spain",
 "TaxonKey is Lampetra fluviatilis (Linnaeus, 1758)"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0220703-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wszzdz
title: Occurrence Download

description: A dataset containing 429 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Caryota mitis Lour."
 ]
}

 The dataset includes 429 records from 48 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0213614-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.p4ncz9
title: Occurrence Download

description: A dataset containing 2653 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Carcharias taurus Rafinesque, 1810"
 ]
}

 The dataset includes 2653 records from 83 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013338-180131172636756/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bepvtf
title: Occurrence Download

description: A dataset containing 1594 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Erthesina fullo (Thunberg, 1783)"
 ]
}

 The dataset includes 1594 records from 21 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012208-210819072339941/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cbr9ap
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Alyssum myagrodes All., 1785"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0040402-220831081235567/datasets/export for details.
DOI: 10.15468/dl.hufmq8
title: Occurrence Download

description: A dataset containing 4273 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is South America",
 "TaxonKey is Stratiomyidae"
 ]
}

 The dataset includes 4273 records from 51 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0262316-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3fvhex
title: Occurrence Download

description: A dataset containing 12314 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Hyssopus officinalis L."
 ]
}

 The dataset includes 12314 records from 268 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0213651-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jqd2kj
title: Occurrence Download

description: A dataset listing the 73101 species recorded in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON ((26.7542939189847 1.2186193716968,36.9991642472184 13.6345880476356,41.544901412726 10.038706409249,37.5419388341447 2.16847489881781,35.84576825 -7.80500813595271,36.2528491901947 -16.0144737632128,34.2174444892211 -16.5572483501391,27.5006089760084 -8.95840413317107,26.7542939189847 1.2186193716968))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset's 73101 records were derived from 1064 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0230033-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yk89nt
title: Occurrence Download

description: A dataset containing 926 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Macaca silenus (Linnaeus, 1758)"
 ]
}

 The dataset includes 926 records from 46 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006521-250415084134356/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh1192586.10fu
title: SH1192586.10FU

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/sh1192587.10fu
title: SH1192587.10FU

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/sh1192588.10fu
title: SH1192588.10FU

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/sh1192589.10fu
title: SH1192589.10FU

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/sh1192592.10fu
title: SH1192592.10FU

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/sh1192593.10fu
title: SH1192593.10FU

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/sh1192595.10fu
title: SH1192595.10FU

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/sh1192596.10fu
title: SH1192596.10FU

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.