cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh0210472.10fu
title: SH0210472.10FU

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/sh0210473.10fu
title: SH0210473.10FU

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/sh0210474.10fu
title: SH0210474.10FU

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/sh0210475.10fu
title: SH0210475.10FU

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/sh0210476.10fu
title: SH0210476.10FU

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/sh0210477.10fu
title: SH0210477.10FU

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/sh0210478.10fu
title: SH0210478.10FU

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/sh0210479.10fu
title: SH0210479.10FU

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/sh0210480.10fu
title: SH0210480.10FU

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/sh0210481.10fu
title: SH0210481.10FU

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.dpfk8b
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Borikenophis sanctaecrucis (Cope, 1862), Borikenophis sancticrucis (Cope, 1862))",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Machine Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0045443-230224095556074/datasets/export for details.
DOI: 10.15468/dl.92hccv
title: Occurrence Download

description: A dataset containing 412 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Tegula hotessieriana (d'Orbigny, 1842)"
 ]
}

 The dataset includes 412 records from 26 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0099863-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2pdydt
title: Occurrence Download

description: A dataset containing 180 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Thaumatophyllum tweedieanum (Schott) Sakur., Calazans & Mayo"
 ]
}

 The dataset includes 180 records from 33 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0074460-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9zus4t
title: Occurrence Download

description: A dataset containing 2257010 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Alauda arvensis Linnaeus, 1758"
 ]
}

 The dataset includes 2257010 records from 2535 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0107264-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nhbgjq
title: Occurrence Download

description: A dataset containing 19 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Sinapis alba",
 "Country is Romania",
 "HasCoordinate is true"
 ]
}

 The dataset includes 19 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0053715-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nzfnn7
title: Occurrence Download

description: A dataset containing 139 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Anonconotus italoaustriacus Nadig, 1987"
 ]
}

 The dataset includes 139 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019668-231120084113126/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7r6jck
title: Occurrence Download

description: A dataset containing 27 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Sinapis alba",
 "Country is Slovakia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 27 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0053716-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.26023/7r8w-115e-je0q
title: DC3: UAH ARMOR C-Band Radar Data. Version 1.0

description: This dataset contains C-band radar data from University of Alabama in Huntsville's ARMOR radar taken for the Deep Convective Clouds and Chemistry (DC3) project.
DOI: 10.15468/dl.nqcuca
title: Occurrence Download

description: A dataset containing 639 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Cryptocarya concinna)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 639 records from 27 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0053718-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tas2a4
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Sinapis alba",
 "Country is South Africa",
 "HasCoordinate is true"
 ]
}

 The dataset includes 3 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0053719-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.aafrf5
title: Occurrence Download

description: A dataset containing 970 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Sinapis alba",
 "Country is Sweden",
 "HasCoordinate is true"
 ]
}

 The dataset includes 970 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0053721-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hwmj3j
title: Occurrence Download

description: A dataset containing 449 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Sinapis alba",
 "Country is Switzerland",
 "HasCoordinate is true"
 ]
}

 The dataset includes 449 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0053722-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5286/isis.e.rb2510205-1
title: Tensile behaviour of a PBF-LB/M Ni-based superalloy studied as a function of γ' preciptitation state and temperature

description: The actual environmental challenges require a huge effort from all industrial sectors to reduce their emissions of greenhouse gasses and pollutants. In this context, aeronautics is deeply concerned as one of the most emissive industrial sectors. The answer to this pressing challenge is complex and involves new fuels and engine concepts, new aerostructures with higher weight-savings, as well as new, energy-efficient, and sustainable manufacturing technologies and materials. Nevertheless, current materials suitable for metal additive manufacturing have a limited temperature range of temperature application. The focus of this proposal is on the micro-mechanical behaviour a relatively new VDM780 alloy produced by laser powder bed fusion (PBF-LB/M), which is expected to allow higher in-service operation temperatures and durability than the current available AM nickel-based superalloys. The microstuture-dependent mechanical behavior of this VDM780 alloy is so far barely investigated. Therefore, a set of in-situ tensile experiments at room and elevated temperatures is proposed in order to invetigate the mechanical response as a function of the γ' preciptitation state (namely, fine and coarse type of precipitates).
DOI: 10.5286/isis.e.rb2510205
title: Tensile behaviour of a PBF-LB/M Ni-based superalloy studied as a function of γ' preciptitation state and temperature

description: The actual environmental challenges require a huge effort from all industrial sectors to reduce their emissions of greenhouse gasses and pollutants. In this context, aeronautics is deeply concerned as one of the most emissive industrial sectors. The answer to this pressing challenge is complex and involves new fuels and engine concepts, new aerostructures with higher weight-savings, as well as new, energy-efficient, and sustainable manufacturing technologies and materials. Nevertheless, current materials suitable for metal additive manufacturing have a limited temperature range of temperature application. The focus of this proposal is on the micro-mechanical behaviour a relatively new VDM780 alloy produced by laser powder bed fusion (PBF-LB/M), which is expected to allow higher in-service operation temperatures and durability than the current available AM nickel-based superalloys. The microstuture-dependent mechanical behavior of this VDM780 alloy is so far barely investigated. Therefore, a set of in-situ tensile experiments at room and elevated temperatures is proposed in order to invetigate the mechanical response as a function of the γ' preciptitation state (namely, fine and coarse type of precipitates).
DOI: 10.15468/dl.enxcmh
title: Occurrence Download

description: A dataset containing 682 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Cryptocarya densiflora)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 682 records from 35 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0053724-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17018663
title: TCR activation impairs CAR-T cell function in heterogeneous  target cell contexts

description: Chimeric antigen receptor (CAR) T cells are powerful therapeutics against cancer and autoimmunity, but whether the endogenous T cell receptor (TCR) is beneficial, detrimental or irrelevant for CAR‑T function remains unclear. TCRs of CAR T cells are used as natural barcodes for clonotype tracking, but may also cause graft-versus-host disease. Reversely, virus-specific TCRs could enhance CAR‑T efficacy. We here traced anti-CD19 CAR‑T clonotypes in patients with B‑cell malignancies pre- and post-infusion using single-cell RNA-, TCR-, and CITE-seq. A cytotoxic phenotype, but not ex vivo [KS1] reactivity to tumor cells, predicted CAR‑T persistence. To test the functional impact of endogenous TCR activity on CAR‑T behavior, we combined CAR transduction with orthotopic TCR replacement. This revealed that TCR signaling adds to activation of CAR T cells, but compromises CAR-mediated cytotoxicity, when TCR and CAR antigens are presented by different target cells. Therefore, spatial antigen separation alters TCR/CAR interplay with implications for therapeutic CAR‑T design.








 [KS1]Would in vitro be easier to understand than ex vivo? If yes, we should change it consistently.
DOI: 10.5281/zenodo.17018664
title: TCR activation impairs CAR-T cell function in heterogeneous  target cell contexts

description: Chimeric antigen receptor (CAR) T cells are powerful therapeutics against cancer and autoimmunity, but whether the endogenous T cell receptor (TCR) is beneficial, detrimental or irrelevant for CAR‑T function remains unclear. TCRs of CAR T cells are used as natural barcodes for clonotype tracking, but may also cause graft-versus-host disease. Reversely, virus-specific TCRs could enhance CAR‑T efficacy. We here traced anti-CD19 CAR‑T clonotypes in patients with B‑cell malignancies pre- and post-infusion using single-cell RNA-, TCR-, and CITE-seq. A cytotoxic phenotype, but not ex vivo [KS1] reactivity to tumor cells, predicted CAR‑T persistence. To test the functional impact of endogenous TCR activity on CAR‑T behavior, we combined CAR transduction with orthotopic TCR replacement. This revealed that TCR signaling adds to activation of CAR T cells, but compromises CAR-mediated cytotoxicity, when TCR and CAR antigens are presented by different target cells. Therefore, spatial antigen separation alters TCR/CAR interplay with implications for therapeutic CAR‑T design.








 [KS1]Would in vitro be easier to understand than ex vivo? If yes, we should change it consistently.
DOI: 10.26023/1k2n-j1vn-dy14
title: DC3: CSU CHILL Radar Data. Version 1.0

description: This dataset contains CHILL Radar Data from Colorado State University taken as part of the Deep Convective Clouds and Chemistry (DC3). The data are in Dorade sweep file format and are available as TAR/GNU Zip files. Additional time periods can be made available by making requests to the data provider.
DOI: 10.15468/dl.p4uwnn
title: Occurrence Download

description: A dataset containing 27665 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Germany",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Lacerta agilis",
 "Year 2005-2025"
 ]
}

 The dataset includes 27665 records from 93 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0053725-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.