cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/36bhn2
title: Description of the immature stages and natural history of the generalist seed feeder moth Cydia tonosticha (Lepidoptera: Tortricidae)

description: This dataset contains the digitized treatments in Plazi based on the original journal article Pereira, Cristiano Marcondes, Lemes, José Ricardo Assmann, Marinoni, Luciane (2024): Description of the immature stages and natural history of the generalist seed feeder moth Cydia tonosticha (Lepidoptera: Tortricidae). Zoologia (e 24035) 41: 1-9, DOI: 10.1590/S1984-4689.v41.e24035, URL: https://doi.org/10.1590/s1984-4689.v41.e24035ABSTRACT. The tortricid genus Cydia Hübner, 1825 is widely distributed and includes important pests of agriculture and forestry. Most of the research related to natural history and morphology of the immature stages of this genus involves species of economic importance. Thus, there is a lack of knowledge about non-pest species. Herein, we describe the morphology of the immature stages (eggs, larvae and pupae) and natural history of Cydia tonosticha (Meyrick, 1922), a widely distributed moth in the Neotropics and an important seed predator of Cassia leptophylla Vogel (Fabaceae). Scanning electron microscope images illustrating morphology of the immature stages are provided for the first time for a Neotropical Cydia species. This study contributes to our overall understanding of morphology, ecology, and consequently, evolutionary traits in Tortricidae.
DOI: 10.15468/9ywaps
title: Globicephaline whales from the Mio-Pliocene Purisima Formation of central California, USA

description: This dataset contains the digitized treatments in Plazi based on the original journal article Boessenecker, Robert W., Perry, Frank A., Geisler, Jonathan H. (2015): Globicephaline whales from the Mio-Pliocene Purisima Formation of central California, USA. Acta Palaeontologica Polonica 60 (1): 113-122, DOI: 10.4202/app.2013.0019, URL: http://dx.doi.org/10.4202/app.2013.0019
DOI: 10.15468/xkdymk
title: Liparis vivipara (Orchidaceae: Malaxideae), a new species from China: evidence from morphological and molecular analyses

description: This dataset contains the digitized treatments in Plazi based on the original journal article Huang, Hui-Xia, Chen, Li-Jun, Liu, Zhong-Jian, Li, Ming-He (2018): Liparis vivipara (Orchidaceae: Malaxideae), a new species from China: evidence from morphological and molecular analyses. Phytotaxa 351 (4): 289-295, DOI: 10.11646/phytotaxa.351.4.5, URL: http://dx.doi.org/10.11646/phytotaxa.351.4.5AbstractA new orchid species, Liparis vivipara (Malaxidinae, Malaxideae, Epidendroideae), from Yunnan Province, China, is illustrated and described based on morphological and molecular analyses. The new plant is remarkably characterised by the upper older pseudobulbs often bearing black bulbils. Molecular analyses of nrITS and plastid matK DNA support this new species as sister to L. formosana and L. odorata.
DOI: 10.15468/dl.663zwq
title: Occurrence Download

description: A dataset containing 107 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Arachis magna Krapov., W.C.Greg. & C.E.Simpson"
 ]
}

 The dataset includes 107 records from 27 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041785-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2t2dsq
title: Occurrence Download

description: A dataset listing the 816 species recorded in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-61.04533 10.50662,-61.04754 10.50239,-61.05128 10.50319,-61.05281 10.49882,-61.05189 10.4975,-61.05452 10.49827,-61.05387 10.49663,-61.05529 10.49501,-61.05342 10.49422,-61.05497 10.49327,-61.05404 10.49168,-61.05617 10.48383,-61.05785 10.48321,-61.05702 10.48218,-61.05923 10.48403,-61.0605 10.48402,-61.0605 10.481,-61.06659 10.48215,-61.06526 10.48,-61.07016 10.47572,-61.07097 10.4713,-61.07448 10.46985,-61.07447 10.46829,-61.08036 10.46685,-61.08034 10.46302,-61.0839 10.46102,-61.08389 10.45818,-61.08704 10.45817,-61.08658 10.4543,-61.09155 10.45272,-61.09136 10.45009,-61.09724 10.44902,-61.09718 10.44122,-61.09937 10.43505,-61.10094 10.43505,-61.10203 10.4266,-61.1037 10.4266,-61.10369 10.42428,-61.10873 10.42426,-61.10868 10.40919,-61.11241 10.40917,-61.11231 10.40506,-61.1141 10.40506,-61.11529 10.40178,-61.10207 10.39341,-61.11772 10.38287,-61.11775 10.37762,-61.10638 10.36132,-61.0932 10.3507,-61.08835 10.35388,-61.07599 10.3521,-61.05333 10.35671,-61.03785 10.35227,-61.03578 10.35377,-61.03576 10.35738,-61.03793 10.3653,-61.03127 10.37655,-61.02458 10.37552,-61.0226 10.36816,-61.01743 10.36743,-61.01667 10.35741,-61.01155 10.3568,-61.00542 10.35842,-61.01785 10.38947,-61.02051 10.3919,-61.02072 10.39775,-61.03553 10.44744,-61.04075 10.47133,-61.04361 10.49733,-61.04309 10.50646,-61.04533 10.50662))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset's 816 records were derived from 64 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0235800-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wvd2r8
title: Occurrence Download

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Farsetia macrantha Blatt. & Hallb."
 ]
}

 The dataset includes 5 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0209377-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.abndej
title: Occurrence Download

description: A dataset containing 7620 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is one of (Campomanesia tomentosa Kunth, Eugenia hauthalii (Kuntze) K.Schum., Myrtus guineensis (Sw.) Kuntze, Myrtus hauthalii Kuntze, Psidium albidum Cambess., Psidium araca Raddi, Psidium benthamianum O.Berg, Psidium guineense Sw., Psidium lehmannii Diels, Psidium multiflorum Cambess., Psidium ooideum var. grandifolium O.Berg, Psidium ooideum O.Berg, Psidium ooideum var. longipedunculatum Rusby, Psidium ooideum var. parvifolium O.Berg, Psidium polycarpon Lamb., Psidium sericiflorum Benth., Psidium sorocabense O.Berg, Psidium ypanemense O.Berg)"
 ]
}

 The dataset includes 7620 records from 322 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0276487-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vwarss
title: Occurrence Download

description: A dataset listing the 7 species recorded in GBIF matching the query:
{
 "TaxonKey" : [
 "is Turgenia latifolia (L.) Hoffm."
 ]
}

 The dataset's 7 records were derived from 260 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0231443-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.39nkxt
title: Occurrence Download

description: A dataset containing 4497 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Leptodactylus fragilis (Brocchi, 1877)"
 ]
}

 The dataset includes 4497 records from 176 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0235813-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6nenr3
title: Occurrence Download

description: A dataset containing 6566 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Paracentrotus lividus (Lamarck, 1816)"
 ]
}

 The dataset includes 6566 records from 89 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0208336-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.b33dx3
title: Occurrence Download

description: A dataset containing 27 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Evolvulus vimineus Ooststr."
 ]
}

 The dataset includes 27 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0208348-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.g424y2
title: Occurrence Download

description: A dataset containing 17 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Hydrocotyle apolobambensis M.Mend. & A.Fuentes"
 ]
}

 The dataset includes 17 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0249619-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pgcwk8
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cnidaria",
 "DatasetKey is Expertise IQE du Golf de la Rochelle Sud en 2018 - Donnees espèces - Expertise IQE Golf de la Rochelle Sud 2018",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Geometry POLYGON ((-25.03991 31.75, 41.65954 31.75, 41.65954 71.53037, -25.03991 71.53037, -25.03991 31.75))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0209371-230224095556074/datasets/export for details.
DOI: 10.15468/dl.xp2yjt
title: Occurrence Download

description: A dataset containing 81888 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Torminalis glaberrima (Gand.) Sennikov & Kurtto",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "Year 1990-2020"
 ]
}

 The dataset includes 81888 records from 768 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0260120-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh0176273.10fu
title: SH0176273.10FU

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/sh0176274.10fu
title: SH0176274.10FU

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/sh0176275.10fu
title: SH0176275.10FU

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/sh0176276.10fu
title: SH0176276.10FU

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/sh0176277.10fu
title: SH0176277.10FU

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/sh0176278.10fu
title: SH0176278.10FU

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.egwvru
title: Occurrence Download

description: A dataset containing 7550 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (Peru, Colombia, Brazil, Suriname, Ecuador, French Guiana, Bolivia (Plurinational State of))",
 "TaxonKey is Nasua nasua"
 ]
}

 The dataset includes 7550 records from 220 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001554-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hbmvn7
title: Occurrence Download

description: A dataset containing 65 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((4.149903329046813 43.47675768338892,4.2957152744862075 43.47675768338892,4.2957152744862075 43.62256962882831,4.149903329046813 43.62256962882831,4.149903329046813 43.47675768338892))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Pelobates cultripes"
 ]
}

 The dataset includes 65 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001553-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18199787
title: CompRep: A Dataset For Computational Reproducibility

description: Reproducibility in computational science is increasingly dependent on the ability to faithfully re-execute experiments involving code, data, and software environments. However, assessing the effectiveness of reproducibility tools is difficult due to the lack of standardized benchmarks. To address this, we collected 38 computational experiments from diverse scientific domains and attempted to reproduce each using 8 different reproducibility tools. From this initial pool, we identified 18 experiments that could be successfully reproduced using at least one tool. These experiments form our curated benchmark dataset, which we release along with reproducibility packages to support ongoing evaluation efforts.
DOI: 10.15156/bio/sh0176279.10fu
title: SH0176279.10FU

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/sh0176280.10fu
title: SH0176280.10FU

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/sh0176281.10fu
title: SH0176281.10FU

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/sh0176282.10fu
title: SH0176282.10FU

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.