cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/cc6r5kn
title: CCDC 201021: Experimental Crystal Structure Determination

description: Related Article: A.I.Sizov, T.M.Zvukova, A.V.Khvostov, V.K.Belsky, A.I.Stash, B.M.Bulychev|2003|J.Organomet.Chem.|681|167|doi:10.1016/S0022-328X(03)00597-7
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/cc6rh7n
title: CCDC 201321: Experimental Crystal Structure Determination

description: Related Article: S.E.Kabir, S.Pervin, N.C.Sarker, A.Yesmin, A.Sharmin, T.A.Siddiquee, D.T.Haworth, D.W.Bennett, K.M.A.Malik|2003|J.Organomet.Chem.|681|237|doi:10.1016/S0022-328X(03)00627-2
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/cc6rh8p
title: CCDC 201322: Experimental Crystal Structure Determination

description: Related Article: S.E.Kabir, S.Pervin, N.C.Sarker, A.Yesmin, A.Sharmin, T.A.Siddiquee, D.T.Haworth, D.W.Bennett, K.M.A.Malik|2003|J.Organomet.Chem.|681|237|doi:10.1016/S0022-328X(03)00627-2
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/cc6rh9q
title: CCDC 201323: Experimental Crystal Structure Determination

description: Related Article: S.E.Kabir, S.Pervin, N.C.Sarker, A.Yesmin, A.Sharmin, T.A.Siddiquee, D.T.Haworth, D.W.Bennett, K.M.A.Malik|2003|J.Organomet.Chem.|681|237|doi:10.1016/S0022-328X(03)00627-2
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/cc6rhbr
title: CCDC 201324: Experimental Crystal Structure Determination

description: Related Article: S.E.Kabir, S.Pervin, N.C.Sarker, A.Yesmin, A.Sharmin, T.A.Siddiquee, D.T.Haworth, D.W.Bennett, K.M.A.Malik|2003|J.Organomet.Chem.|681|237|doi:10.1016/S0022-328X(03)00627-2
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/cc6rhcs
title: CCDC 201325: Experimental Crystal Structure Determination

description: Related Article: S.E.Kabir, S.Pervin, N.C.Sarker, A.Yesmin, A.Sharmin, T.A.Siddiquee, D.T.Haworth, D.W.Bennett, K.M.A.Malik|2003|J.Organomet.Chem.|681|237|doi:10.1016/S0022-328X(03)00627-2
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/cc6rq2q
title: CCDC 201533: Experimental Crystal Structure Determination

description: Related Article: I.D.Mendez, E.Klimova, T.Klimova, O.S.Hernandez, G.M.Martinez|2003|J.Organomet.Chem.|681|115|doi:10.1016/S0022-328X(03)00586-2
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/cc6sf5k
title: CCDC 202218: Experimental Crystal Structure Determination

description: Related Article: K.Lamm, M.Stollenz, M.Meier, H.Gorls, D.Walther|2003|J.Organomet.Chem.|681|24|doi:10.1016/S0022-328X(03)00528-X
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.15468/dl.ch32p3
title: Occurrence Download

description: A dataset containing 2401002629 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Observation, Machine Observation, Human Observation, Occurrence evidence)",
 "OccurrenceStatus is Present",
 "TaxonKey is Chordata",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 2401002629 records from 24486 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016417-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.y4uvdv
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Eucypris virens (Jurine, 1820)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((13.9625 -21.8011,18.8413 -33.9824,26.7692 -33.2205,33.9857 -23.9548,34.0873 -18.4616,19.6544 -17.2038,13.9625 -21.8011))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003562-250525065834625/datasets/export for details.
DOI: 10.15468/dl.hswg4i
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is (Table 1) Proportion of Toxoplasma gondii seropositive arctic foxes (Alopex lagopus) by age group and geographic area"
 ]
}

 The dataset includes 8 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025022-160910150852091/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bvga96
title: Occurrence Download

description: A dataset containing 4926 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is NEON Biorepository Carabid Collection (Trap Sorting)"
 ]
}

 The dataset includes 4926 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0074706-231120084113126/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.m65bd4
title: Occurrence Download

description: A dataset containing 32 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is (Table 1) Proportion of Toxoplasma gondii seropositive arctic foxes (Alopex lagopus) by age group and geographic area"
 ]
}

 The dataset includes 32 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034449-180508205500799/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ehyy45
title: Occurrence Download

description: A dataset containing 102942056 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 102942056 records from 11421 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0210830-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh1398792.10fu
title: SH1398792.10FU

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/sh1398795.10fu
title: SH1398795.10FU

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/sh1398803.10fu
title: SH1398803.10FU

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/sh1398811.10fu
title: SH1398811.10FU

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/sh1398813.10fu
title: SH1398813.10FU

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: 10.48544/1084b990-112a-4a9e-bee3-e3a581fe62e8
title: Diversiteit in gedrag en talentontwikkeling; bouwstenen voor een schoolbrede visie
DOI: 10.15156/bio/sh1398815.10fu
title: SH1398815.10FU

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/sh1398822.10fu
title: SH1398822.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15468/dl.zn79na
title: Occurrence Download

description: A dataset containing 120305 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Chironia uliginosa, Chironia uliginosa, Erythraea compressa, Erythraea elodes, Erythraea uliginosa, Erythraea uliginosa, Hippocentaurea uliginosa, Cerastium arvense, Arenaria aizoides, Cerastium arvense arvense)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen, Machine Observation)"
 ]
 }
 },
 "Continent is Europe",
 "Year is greater than or equal to 1980",
 "Year is less than or equal to 2024"
 ]
}

 The dataset includes 120305 records from 733 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006632-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tybz9c
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Human Observation, Machine Observation, Occurrence evidence, Observation)",
 "TaxonKey is one of (Chaetura pelagica)",
 "Country is one of (American Samoa, Australia, Christmas Island, Cocos (Keeling) Islands, Cook Islands, Fiji, French Polynesia, Guam, Heard Island and McDonald Islands, Kiribati, Marshall Islands, Micronesia (Federated States of), Nauru, New Caledonia, New Zealand, Niue, Norfolk Island, Northern Mariana Islands, Palau, Papua New Guinea, Pitcairn, Samoa, Solomon Islands, Tokelau, Tonga, Tuvalu, United States Minor Outlying Islands, Vanuatu, Wallis and Futuna)"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006686-250717081556266/datasets/export for details.
DOI: 10.15468/dl.9svc7b
title: Occurrence Download

description: A dataset containing 2331 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Brassica rapa",
 "Country is Russian Federation",
 "HasCoordinate is true"
 ]
}

 The dataset includes 2331 records from 36 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006685-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.whr2ts
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Human Observation, Machine Observation, Occurrence evidence, Observation)",
 "TaxonKey is one of (Chaetura pelagica)",
 "Country is one of (Algeria, Angola, Benin, Botswana, British Indian Ocean Territory, Burkina Faso, Burundi, Cabo Verde, Cameroon, Central African Republic, Chad, Comoros, Congo, Congo, Democratic Republic of the, Côte d’Ivoire, Djibouti, Egypt, Equatorial Guinea, Eritrea, Eswatini, Ethiopia, French Southern Territories, Gabon, Gambia, Ghana, Guinea, Guinea-Bissau, Kenya, Lesotho, Liberia, Libya, Madagascar, Malawi, Mali, Mauritania, Mauritius, Mayotte, Morocco, Mozambique, Namibia, Niger, Nigeria, Réunion, Rwanda, Saint Helena, Ascension and Tristan da Cunha, Sao Tome and Principe, Senegal, Seychelles, Sierra Leone, Somalia, South Africa, South Sudan, Sudan, Tanzania, United Republic of, Togo, Tunisia, Uganda, Western Sahara, Zambia, Zimbabwe)"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006689-250717081556266/datasets/export for details.
DOI: 10.15468/dl.b7y4h3
title: Occurrence Download

description: A dataset containing 843 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Ionopsidium acaule"
 ]
}

 The dataset includes 843 records from 81 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006687-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dd56me
title: Occurrence Download

description: A dataset containing 970103 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Cisticola juncidis"
 ]
}

 The dataset includes 970103 records from 1635 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006564-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/jjf3w49zsg
title: Seeding precision dataset

description: The dataset used in this study is generated through a physics-based simulation of drone aerial seeding under varying environmental conditions. Each sample represents one mission configuration defined by environmental factors such as wind behavior and turbulence, together with drone operating settings. For every configuration, multiple feasible routes are evaluated using the simulation model, which estimates the likelihood of successful seed placement across the target area. The route that achieves the best overall placement performance is selected as the label for that configuration.
The dataset therefore contains input features describing the environmental conditions and flight setup, along with output labels indicating the optimal route and its associated performance score. This structure enables supervised learning, where a surrogate model learns to predict route quality or select the best route directly from environmental and geometric features. The dataset supports the development of a route-aware, stochastic planning approach by capturing variability in wind conditions and their effect on aerial seed placement outcomes.
DOI: 10.17632/jjf3w49zsg.1
title: Seeding precision dataset

description: The dataset used in this study is generated through a physics-based simulation of drone aerial seeding under varying environmental conditions. Each sample represents one mission configuration defined by environmental factors such as wind behavior and turbulence, together with drone operating settings. For every configuration, multiple feasible routes are evaluated using the simulation model, which estimates the likelihood of successful seed placement across the target area. The route that achieves the best overall placement performance is selected as the label for that configuration.
The dataset therefore contains input features describing the environmental conditions and flight setup, along with output labels indicating the optimal route and its associated performance score. This structure enables supervised learning, where a surrogate model learns to predict route quality or select the best route directly from environmental and geometric features. The dataset supports the development of a route-aware, stochastic planning approach by capturing variability in wind conditions and their effect on aerial seed placement outcomes.