cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.hc4ps2
title: Occurrence Download

description: A dataset containing 24 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Exacum lawii C.B.Clarke"
 ]
}

 The dataset includes 24 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0208425-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.38hjxw
title: Occurrence Download

description: A dataset containing 71 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Linaria diffusa Hoffmanns. & Link"
 ]
}

 The dataset includes 71 records from 21 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010020-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wa6vvh
title: Occurrence Download

description: A dataset containing 2432 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Prescottia stachyodes (Sw.) Lindl."
 ]
}

 The dataset includes 2432 records from 172 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0094506-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3sr248
title: Occurrence Download

description: A dataset containing 472 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Linaria odora (M.Bieb.) Fisch."
 ]
}

 The dataset includes 472 records from 37 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010069-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ryfj7a
title: Occurrence Download

description: A dataset containing 40 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Exacum hoffmannii Schinz"
 ]
}

 The dataset includes 40 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0208415-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.udpvm6
title: Occurrence Download

description: A dataset containing 10182 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cryptotaenia canadensis (L.) DC.",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 10182 records from 206 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010482-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.c9kdr6
title: Occurrence Download

description: A dataset containing 167 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Presliophytum incanum (Graham) Weigend"
 ]
}

 The dataset includes 167 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0094514-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yghrpv
title: Occurrence Download

description: A dataset listing the 32 species recorded in GBIF matching the query:
{
 "and" : [
 "DatasetKey is iNaturalist Research-grade Observations",
 "Geometry POLYGON((-44.26971 -2.50328,-44.26219 -2.50301,-44.26153 -2.49339,-44.27835 -2.49379,-44.27606 -2.49883,-44.26971 -2.50328))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Tracheophyta",
 "Year 1768-2023"
 ]
}

 The dataset's 32 records were derived from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0047221-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9vfd5f
title: Occurrence Download

description: A dataset containing 88 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Exacum humbertii Klack."
 ]
}

 The dataset includes 88 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0208418-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qv44jr
title: Occurrence Download

description: A dataset containing 414079 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Silene dioica (L.) Clairv."
 ]
}

 The dataset includes 414079 records from 1267 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0208402-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh1395795.10fu
title: SH1395795.10FU

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/sh1395797.10fu
title: SH1395797.10FU

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/sh1395799.10fu
title: SH1395799.10FU

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/sh1395802.10fu
title: SH1395802.10FU

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/sh1395805.10fu
title: SH1395805.10FU

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/sh1395806.10fu
title: SH1395806.10FU

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/sh1395807.10fu
title: SH1395807.10FU

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/sh1395808.10fu
title: SH1395808.10FU

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/sh1395810.10fu
title: SH1395810.10FU

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/sh1395811.10fu
title: SH1395811.10FU

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.rdwu4b
title: Occurrence Download

description: A dataset containing 6 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Thyrsocalamus liang"
 ]
}

 The dataset includes 6 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002734-260221153910048/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wersnm
title: Occurrence Download

description: A dataset containing 12050 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Similipecten",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 12050 records from 147 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002735-260221153910048/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yg8kgf
title: Occurrence Download

description: A dataset containing 25 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "DistanceFromCentroidInMeters is greater than or equal to 2000",
 "TaxonKey is Thryssa purava"
 ]
}

 The dataset includes 25 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002737-260221153910048/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wk9kae
title: Occurrence Download

description: A dataset containing 15109 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Sycon",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 15109 records from 243 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002738-260221153910048/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rhvkst
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "DistanceFromCentroidInMeters is greater than or equal to 2000",
 "TaxonKey is Thryssa rastrosa"
 ]
}

 The dataset includes 8 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002739-260221153910048/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18738817
title: Zonodo Test
DOI: 10.5281/zenodo.18738930
title: Zonodo Test
DOI: 10.15151/esrf-es-2354226699
title: The Israeli BAG

description: This Summary will only portray a very limited scope of the BAG proposal due to its size and more information will be available in the Global Summary. We plan establish a comprehensive structural narrative for the assembly and entry of viruses from the Bunyavirales family using X-ray crystallography, biophysics, biochemistry, and molecular virology. Using X-ray crystallography to obtain the 3D structure of GN and GC in different conformations and from different bunyavituses. We will pursue a structure of GN or GC bound to a neutralizing antibody to obtain new data for vaccine design. In the SAXS arena, we plan to continue the study on MT (microtubules) and expand the experiments with different nucleotide type and concentrations, (GTP, GDP, GMPCPP, and GMPPCP, GTP-gammaS). We will perform at selected points SEC-SAXS experiments in the presence of full-length tau (4RL). Our preliminary data revealed that 4RL promote MT assembly at 36C and of single tubulin rings at low temperatures.
DOI: 10.15151/esrf-es-2354385928
title: Torpor as a survival strategy for non-mammalian therapsids during a mass extinction

description: This project aims at providing more reliable evidence regarding burrowing and torpor in therapsids. Therapsids are mammal-reptiles that gave rise to modern mammals. This group survived the End Permian mass extinction event (252Mya) which caused the extinction of 95% of all marine taxa and about 70% of all terrestrial taxa. The event is marked by a rapid increase in global temperature, but a number of therapsids survived. Numerous therapsid fossils from the Karoo Basin of South Africa have been found in burrows, suggesting
burrows as possible thermal refugia. Other methods of surviving extreme conditions include torpor (short periods of reduced metabolic activity). This type of behaviour is seen in modern burrowing mammals, and can be studied by looking at the tooth microstructure. The goal of this research is to analyse the dental microstructure of known burrowing therapsids to determine whether they used burrowing and torpor as a survival strategy for this extinction eve
DOI: 10.15151/esrf-es-2354385942
title: The life history of early reptiles

description: Modern reptiles, including birds, lizards, and crocodilians, have a wide range of body sizes, which they achieve with notably disparate growth strategies. The evolutionary dynamics that led to these disparate growth strategies are beginning to be understood using charismatic extinct groups like dinosaurs, but a major knowledge gap still prevails in understanding their origins amongst the earliest-branching reptiles. We propose to address this gap through high-resolution synchrotron tomographic histology scans of a broad swathe of stem- and early crown reptiles. The resulting data will be used in the PhD of a South African student and enable us to test hypotheses for the deep-time origins of the modern disparity of reptile growth strategies.
DOI: 10.15468/dl.tydc5r
title: Occurrence Download

description: A dataset containing 2707 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((40.38009 -12.31981,199.61991 -12.31981,199.61991 51.31981,40.38009 51.31981,40.38009 -12.31981))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Blastus cochinchinensis"
 ]
}

 The dataset includes 2707 records from 43 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002740-260221153910048/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.