cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25345/c5td9nm2d
title: MassIVE MSV000096360 - Pulldown results from human and rat proteome with triphenyl phosphate alkyne probe
title: Dataset contains pulldown results from activity-based protein profiling of rat liver and HepG2 proteome using a TPHP-alkyne probe. Experimental samples contained the proteome + 100 uM TPHP-probe + click cocktail (100uM_t1-t3) and control samples contained only the click cocktail (CC_Control). Dataset contains one trial on brown rat proteome (rat) and three trials on HepG2 (Aug, Sept, Oct). Data acquired in positive mode with DDA top20 method.
DOI: 10.15468/dl.pkd8qm
title: Occurrence Download

description: A dataset containing 33 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Belize",
 "DatasetKey is one of (Field Museum of Natural History (Botany) Seed Plant Collection, Tropicos MO Specimen Data, Harvard University Herbaria: All Records, Plant Resources Center, The New York Botanical Garden Herbarium (NY), Natural History Museum (London) Collection Specimens, CSIC-Real Jardín Botánico-Colección de Plantas Vasculares (MA), Computarización del Herbario ENCB, IPN. Fase IV. Base de datos de la familia Pinaceae y de distintas familias de la clase Magnoliopsida depositadas en el Herbario de la Escuela Nacional de Ciencias Biológicas, IPN, Tropicos Specimens Non-MO)",
 "OccurrenceStatus is Present",
 "TaxonKey is Lacmellea standleyi (Woodson) Monach."
 ]
}

 The dataset includes 33 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003855-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cjs2tt
title: Occurrence Download

description: A dataset containing 1796 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Equus asinus Linnaeus, 1758",
 "Country is United States of America",
 "Year is greater than or equal to 1500"
 ]
}

 The dataset includes 1796 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003857-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wxhfad
title: Occurrence Download

description: A dataset containing 4193 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Spain",
 "Geometry POLYGON((-8.10286 43.74013,-9.54883 43.18929,-9.00424 41.69951,-6.92606 41.71828,-7.01369 43.79021,-7.76591 43.81933,-8.10286 43.74013))",
 "TaxonKey is Pinus pinaster Aiton"
 ]
}

 The dataset includes 4193 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003858-241107131044228/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.27640698
title: Supplementary Data File 2

description: A fundamental tenet of evolutionary genetics is that the direction and strength of selection on individual loci varies with the environment. Barcoded evolutionary lineage tracking is a powerful approach for high-throughput measurement of selection within experimental evolution, yet to date has largely been restricted to studies within microbial systems, largely because the random integration of barcodes within animals is limited by physical and molecular protection of the germline. Here, we use the recently developed TARDIS barcoding system in <i>Caenorhabditis elegans</i> (Stevenson et al., 2023) to implement the first randomly inserted genomic-barcode experimental evolution animal model and use this system to precisely measure the influence of the concentration of the anthelmintic compound ivermectin on the strength of selection on an ivermectin resistance cassette. The combination of the trio of knockouts in neuronally expressed GluCl channels, <i>avr-14</i>, <i>avr-15</i>, and <i>glc-1</i>, has been previously demonstrated to provide resistance to ivermectin at high concentrations. By varying the concentration of ivermectin in a liquid culture environment, we are able to precisely vary the effects of selection on these genes in populations with millions of individuals, yielding the largest animal experimental evolution study to date. The frequency of each barcode was determined at multiple time points via sequencing at deep coverage and then used to estimate the fitness of the individual lineages in the population. The mutations display a high cost to resistance at low concentrations, rapidly losing out to wildtype genotypes, but the balance tips in their favor when the ivermectin concentration exceeds 2nM. This trade-off in resistance is likely generated by a hindered rate of development in resistant individuals. Our results demonstrate that <i>C. elegans</i> can be used to generate high precision estimates of fitness using a high-throughput barcoding approach to yield novel insights into evolutionarily and economically important traits.
DOI: 10.6084/m9.figshare.27640698.v1
title: Supplementary Data File 2

description: A fundamental tenet of evolutionary genetics is that the direction and strength of selection on individual loci varies with the environment. Barcoded evolutionary lineage tracking is a powerful approach for high-throughput measurement of selection within experimental evolution, yet to date has largely been restricted to studies within microbial systems, largely because the random integration of barcodes within animals is limited by physical and molecular protection of the germline. Here, we use the recently developed TARDIS barcoding system in <i>Caenorhabditis elegans</i> (Stevenson et al., 2023) to implement the first randomly inserted genomic-barcode experimental evolution animal model and use this system to precisely measure the influence of the concentration of the anthelmintic compound ivermectin on the strength of selection on an ivermectin resistance cassette. The combination of the trio of knockouts in neuronally expressed GluCl channels, <i>avr-14</i>, <i>avr-15</i>, and <i>glc-1</i>, has been previously demonstrated to provide resistance to ivermectin at high concentrations. By varying the concentration of ivermectin in a liquid culture environment, we are able to precisely vary the effects of selection on these genes in populations with millions of individuals, yielding the largest animal experimental evolution study to date. The frequency of each barcode was determined at multiple time points via sequencing at deep coverage and then used to estimate the fitness of the individual lineages in the population. The mutations display a high cost to resistance at low concentrations, rapidly losing out to wildtype genotypes, but the balance tips in their favor when the ivermectin concentration exceeds 2nM. This trade-off in resistance is likely generated by a hindered rate of development in resistant individuals. Our results demonstrate that <i>C. elegans</i> can be used to generate high precision estimates of fitness using a high-throughput barcoding approach to yield novel insights into evolutionarily and economically important traits.
DOI: 10.6084/m9.figshare.27640650
title: Supplementary Data File 1

description: A fundamental tenet of evolutionary genetics is that the direction and strength of selection on individual loci varies with the environment. Barcoded evolutionary lineage tracking is a powerful approach for high-throughput measurement of selection within experimental evolution, yet to date has largely been restricted to studies within microbial systems, largely because the random integration of barcodes within animals is limited by physical and molecular protection of the germline. Here, we use the recently developed TARDIS barcoding system in <i>Caenorhabditis elegans</i> (Stevenson et al., 2023) to implement the first randomly inserted genomic-barcode experimental evolution animal model and use this system to precisely measure the influence of the concentration of the anthelmintic compound ivermectin on the strength of selection on an ivermectin resistance cassette. The combination of the trio of knockouts in neuronally expressed GluCl channels, <i>avr-14</i>, <i>avr-15</i>, and <i>glc-1</i>, has been previously demonstrated to provide resistance to ivermectin at high concentrations. By varying the concentration of ivermectin in a liquid culture environment, we are able to precisely vary the effects of selection on these genes in populations with millions of individuals, yielding the largest animal experimental evolution study to date. The frequency of each barcode was determined at multiple time points via sequencing at deep coverage and then used to estimate the fitness of the individual lineages in the population. The mutations display a high cost to resistance at low concentrations, rapidly losing out to wildtype genotypes, but the balance tips in their favor when the ivermectin concentration exceeds 2nM. This trade-off in resistance is likely generated by a hindered rate of development in resistant individuals. Our results demonstrate that <i>C. elegans</i> can be used to generate high precision estimates of fitness using a high-throughput barcoding approach to yield novel insights into evolutionarily and economically important traits.
DOI: 10.6084/m9.figshare.27640650.v1
title: Supplementary Data File 1

description: A fundamental tenet of evolutionary genetics is that the direction and strength of selection on individual loci varies with the environment. Barcoded evolutionary lineage tracking is a powerful approach for high-throughput measurement of selection within experimental evolution, yet to date has largely been restricted to studies within microbial systems, largely because the random integration of barcodes within animals is limited by physical and molecular protection of the germline. Here, we use the recently developed TARDIS barcoding system in <i>Caenorhabditis elegans</i> (Stevenson et al., 2023) to implement the first randomly inserted genomic-barcode experimental evolution animal model and use this system to precisely measure the influence of the concentration of the anthelmintic compound ivermectin on the strength of selection on an ivermectin resistance cassette. The combination of the trio of knockouts in neuronally expressed GluCl channels, <i>avr-14</i>, <i>avr-15</i>, and <i>glc-1</i>, has been previously demonstrated to provide resistance to ivermectin at high concentrations. By varying the concentration of ivermectin in a liquid culture environment, we are able to precisely vary the effects of selection on these genes in populations with millions of individuals, yielding the largest animal experimental evolution study to date. The frequency of each barcode was determined at multiple time points via sequencing at deep coverage and then used to estimate the fitness of the individual lineages in the population. The mutations display a high cost to resistance at low concentrations, rapidly losing out to wildtype genotypes, but the balance tips in their favor when the ivermectin concentration exceeds 2nM. This trade-off in resistance is likely generated by a hindered rate of development in resistant individuals. Our results demonstrate that <i>C. elegans</i> can be used to generate high precision estimates of fitness using a high-throughput barcoding approach to yield novel insights into evolutionarily and economically important traits.
DOI: 10.15468/dl.rqzj95
title: Occurrence Download

description: A dataset containing 47 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Specimen)",
 "Country is Belize",
 "DatasetKey is one of (Harvard University Herbaria: All Records, Tropicos MO Specimen Data, The New York Botanical Garden Herbarium (NY), Field Museum of Natural History (Botany) Seed Plant Collection, Digitalización y Sistematización de las Colecciones Biológicas Nacionales del Instituto de Biología, UNAM (Plantas vasculares), NMNH Extant Specimen Records (USNM, US), Plant Resources Center, Tropicos Specimens Non-MO, Arizona State University Vascular Plant Herbarium)",
 "OccurrenceStatus is Present",
 "TaxonKey is Malouetia guatemalensis (Müll.Arg.) Standl."
 ]
}

 The dataset includes 47 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003859-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.usmsdz
title: Occurrence Download

description: A dataset containing 3205 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Brazil",
 "Geometry POLYGON((-42.62594 -8.88702,-42.13713 -8.88702,-42.13713 -8.41869,-42.62594 -8.41869,-42.62594 -8.88702))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 3205 records from 75 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003860-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hxkvbc
title: Occurrence Download

description: A dataset containing 106 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Algyroides fitzingeri (Wiegmann, 1834)",
 "HasCoordinate is true",
 "Year is greater than or equal to 2013",
 "Year is less than or equal to 2018",
 "CoordinateUncertaintyInMeters is less than or equal to 1000"
 ]
}

 The dataset includes 106 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026498-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/zmtrck
title: Taxonomic notes on Catasetum meeae (Orchidaceae: Catasetinae)

description: This dataset contains the digitized treatments in Plazi based on the original journal article Krahl, Dayse Raiane Passos, Schmal, Philippe, Chiron, Guy, Silva, João Batista Fernandes Da, Krahl, Amauri Herbert, Cantuária, Patrick De Castro (2023): Taxonomic notes on Catasetum meeae (Orchidaceae: Catasetinae). Phytotaxa 609 (3): 240-246, DOI: 10.11646/phytotaxa.609.3.7, URL: http://dx.doi.org/10.11646/phytotaxa.609.3.7AbstractIn this study we propose to treat Catasetum meeae and C. lendarium as conspecific based on distinctive features identified in the protologues of both species. We emphasize that C. meeae was never collected again after its description in the 1960s. Here we also invalidate the name C. lendarium because its original description is not in accordance with the Shenzhen Code. We provide a brief taxonomic discussion for the taxon, as well as photographs and information related to distribution and ecology. At this stage the species is evaluated as belonging to the Endangered (EN) category according to IUCN criteria.
DOI: 10.34740/kaggle/dsv/14280460
title: Global Genomic Neurofibromatosis Neoplasia
DOI: 10.15468/knqnqf
title: Nova espécie de Melanophryniscus Gallardo, 1961 do Estado do Rio Grande do do Sul, (Anura, Bufonidae)

description: This dataset contains the digitized treatments in Plazi based on the original journal article Braun, Pedro Canisio, Braun, Cristina Assunção Sirangelo (1979): Nova espécie de Melanophryniscus Gallardo, 1961 do Estado do Rio Grande do do Sul, (Anura, Bufonidae). Iheringia, Série Zoologia 54: 7-16, DOI: 10.5281/zenodo.10009993ABSTRACTThe authors describe a new species ofBufonidae, Melanophryniscus cambaraensis from Rio Grande do Sul State. Brazil. whichdorsalgreen coloration is by the first time reported for this genus.
DOI: 10.15468/f72sa2
title: Description of the mature larva of Derovatellus lentus (Coleoptera: Dytiscidae)

description: This dataset contains the digitized treatments in Plazi based on the original journal article Michat, Mariano C., Alarie, Yves, Benetti, Cesar J. (2024): Description of the mature larva of Derovatellus lentus (Coleoptera: Dytiscidae). Zootaxa 5492 (1): 145-150, DOI: 10.11646/zootaxa.5492.1.10, URL: http://dx.doi.org/10.11646/zootaxa.5492.1.10
DOI: 10.15468/szaqs6
title: The exact morphology of Oligoneuriella pallida (Hagen, 1855) from China (Ephemeroptera: Oligoneuriidae)

description: This dataset contains the digitized treatments in Plazi based on the original journal article Chen, Jia-Yi, Bian, Xiao-Nuo, Zhou, Chang-Fa (2025): The exact morphology of Oligoneuriella pallida (Hagen, 1855) from China (Ephemeroptera: Oligoneuriidae). Zootaxa 5636 (2): 376-388, DOI: 10.11646/zootaxa.5636.2.10, URL: https://doi.org/10.11646/zootaxa.5636.2.10AbstractThe brushlegged mayfly Oligoneuriella pallida (Hagen, 1855) has been reported from a series of countries by quite several different researchers, which also caused some confusions and inconsistence of morphological descriptions, and led to mis-identification of Chinese Oligoneuriella species historically. Here the Chinese oligoneuriid specimens are compared to European Oligoneuriella species morphologically and molecularly. The results show China harbors one species O. pallida. It can be diagnosed by nymphal long oval lamellae of gills I, fimbriate part of gill I longer than lamellae, subequal tarsi and tibiae of mid- and hindlegs, and all femora without hair-like setae on outer margins. In adults, the femora and abdomen of this species have grey to purple pigmented markings, well-developed titillators and subgenital plate. Remarkably, the Chinese O. pallida also shows some differences to European populations, like longer filamental part of gills I and spine-like setae on abdominal sterna of nymphs, and with pigments on femora and nearly straight posterior margin of subgenital plate in male adults. It has 6.15% K2P distance of COI gene to European sequence. The detailed description in the present study not only show the exact features of the species O. pallida but also provide good photos for further classification on Asian brushlegged mayflies, which is still lack of study and clarification.
DOI: 10.15156/bio/sh0176392.10fu
title: SH0176392.10FU

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/sh0176393.10fu
title: SH0176393.10FU

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/sh0176394.10fu
title: SH0176394.10FU

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/sh0176395.10fu
title: SH0176395.10FU

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/sh0176396.10fu
title: SH0176396.10FU

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.