cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh0173577.10fu
title: SH0173577.10FU

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/sh0173578.10fu
title: SH0173578.10FU

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/sh0173579.10fu
title: SH0173579.10FU

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/sh0173580.10fu
title: SH0173580.10FU

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: 10.25345/c57w67k3w
title: MassIVE MSV000100420 - Comparison of common plasma proteomics workflows reveals distinct pre-analytical biases by sample preparation and nano-particle enrichment
title: Human plasma proteomics is critical for biomedical research but challenged by an extraordinary dynamic range. We evaluated six mass spectrometry workflows, including bead-based enrichment (Proteograph XT, P2, Mag-Net), depletion (Top14), and neat plasma. Enrichment methods achieved superior proteome coverage identifying up to 4,600 proteins but exhibited acute susceptibility to pre-analytical bias from cellular contaminants and vesicles in plasma. Increased centrifugation stringency before proteomics analysis drastically decreased protein identifications. Crucially, the abundance of proteins annotated as secreted was not significantly affected by centrifugation for all tested workflows suggesting that their quantification is little influenced by contaminating cells or vesicles whereas depleted proteins are enriched for cellular components like cytoskeleton organization and platelet activation. Our results underscore that nanoparticle-based methods allow robust and deep measurement of the secreted plasma proteome, as well as provide additional insights by reporting the contributions of proteins of cellular origin when applying the common practice of 2,000 x g centrifugation prior to analysis.
DOI: 10.15156/bio/sh0173581.10fu
title: SH0173581.10FU

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.9t252v
title: Occurrence Download

description: A dataset containing 75750 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Bouteloua Lag."
 ]
}

 The dataset includes 75750 records from 450 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0143840-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ocqzgq
title: Occurrence Download

description: A dataset containing 14140 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Centropogon K.B.Presl, 1836"
 ]
}

 The dataset includes 14140 records from 153 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004369-151016162008034/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bfh8y3
title: Occurrence Download

description: A dataset containing 32679 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Bignonia L."
 ]
}

 The dataset includes 32679 records from 510 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0143801-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nzfe77
title: Occurrence Download

description: A dataset containing 62 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pereskiopsis blakeana Ortega"
 ]
}

 The dataset includes 62 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016554-240425142415019/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kqnbbz
title: Occurrence Download

description: A dataset containing 773 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Astragalus incanus subsp. incanus"
 ]
}

 The dataset includes 773 records from 29 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004369-160526112335914/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2tv3gv
title: Occurrence Download

description: A dataset containing 409765 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Aythya fuligula (Linnaeus, 1758)",
 "HasCoordinate is true",
 "Month is April",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 409765 records from 392 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026460-231002084531237/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tsugqj
title: Occurrence Download

description: A dataset containing 419514 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is National Meadow and Pasture Inventory (TUVA)"
 ]
}

 The dataset includes 419514 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004369-160910150852091/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kmea29
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Commelina kapiriensis De Wild."
 ]
}

 The dataset includes 3 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0143808-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7i7xgh
title: Occurrence Download

description: A dataset containing 10 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Echinochloa crus-galli f. mixta (A.F.Schwarz) Soó"
 ]
}

 The dataset includes 10 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004369-170826194755519/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9akvtz
title: Occurrence Download

description: A dataset containing 396017 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-69.45895 -17.50677,-69.86739 -17.56683,-70.05959 -18.20351,-71.90958 -18.33566,-71.05666 -20.06552,-70.78037 -21.95154,-70.93654 -23.09277,-71.00861 -25.20704,-70.58816 -25.21905,-70.78037 -25.8197,-70.73232 -27.14112,-70.33589 -27.11709,-70.04758 -26.42034,-70.20375 -26.05996,-69.53103 -26.10801,-68.71415 -26.32424,-68.55798 -26.01191,-68.70213 -25.74762,-68.1135 -24.88269,-66.32358 -24.78659,-66.11936 -23.98172,-66.38364 -23.89763,-66.6239 -24.08984,-67.11643 -23.6814,-66.91221 -22.48011,-67.42877 -22.04765,-67.78915 -21.30284,-68.10149 -21.38694,-68.47389 -20.44993,-68.22162 -19.88532,-68.2937 -19.36877,-68.81025 -18.96033,-69.00246 -17.97527,-69.45895 -17.50677))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 396017 records from 466 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0143770-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57745/ywbdqq/0s8nem
title: LRT_02_01_00431.xml
DOI: 10.57745/ywbdqq/3w3o0y
title: LRT_01_01_00304.xml
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title: LRT_02_01_00189.xml
DOI: 10.57745/ywbdqq/5d9eli
title: LRT_02_01_00252.xml
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title: LRT_01_01_00121.xml
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title: LRT_01_01_00278.xml
DOI: 10.57745/ywbdqq/9alp8p
title: LRT_01_01_00302.xml
DOI: 10.57745/ywbdqq/bojnwb
title: LRT_01_01_00382.xml
DOI: 10.57745/ywbdqq/dimcxa
title: LRT_02_01_00214.xml
DOI: 10.57745/ywbdqq/dkwgoo
title: LRT_01_01_00158.xml
DOI: 10.57745/ywbdqq/dywmqs
title: LRT_02_01_00410.xml
DOI: 10.57745/ywbdqq/fcn0kw
title: LRT_01_01_00101.xml
DOI: 10.57745/ywbdqq/ffp8sg
title: LRT_02_01_00324.xml
DOI: 10.57745/ywbdqq/h2cnjd
title: LRT_02_01_00043.xml
DOI: 10.57745/ywbdqq/hxeuk2
title: LRT_01_01_00421.xml
DOI: 10.57745/ywbdqq/ixoh3m
title: LRT_01_01_00237.xml
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DOI: 10.57745/ywbdqq/n5mjkz
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DOI: 10.57745/ywbdqq/nz0u37
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DOI: 10.57745/ywbdqq/oika99
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DOI: 10.57745/ywbdqq/owq4qb
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DOI: 10.57745/ywbdqq/s4ilfc
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DOI: 10.57745/ywbdqq/tphajv
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DOI: 10.57745/ywbdqq/tupeaj
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DOI: 10.57745/ywbdqq/ujssm8
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DOI: 10.57745/ywbdqq/vpm7fa
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DOI: 10.57745/ywbdqq/1rqcmd
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DOI: 10.57745/ywbdqq/a8it2a
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DOI: 10.57745/ywbdqq/gtbepj
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DOI: 10.17632/w7xjrr4fc3.1
title: Surface Steric Effect in Heterogeneous Catalysis as the Origin of the High Activity Induced by Strong Metal–Support Interactions. Valadez Huerta et al.

description: This dataset contains supplementary data supporting the study with the same name, authored by Gerardo Valadez Huerta, Kaoru Hisama, Katsutoshi Sato, Katsutoshi Nagaoka, and Michihisa Koyama. The study focuses on N₂ dissociation on Ru/La₀.₅Ce₀.₅O₁.₇₅₋ₓ catalysts, as described in the manuscript and supporting information. It enables full reproduction of the simulations. Please refer to the paper for details or contact the corresponding authors for further information.
DOI: 10.57745/ywbdqq/13xc8j
title: LRT_01_01_00039.xml