cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh1065611.10fu
title: SH1065611.10FU

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: 10.6084/m9.figshare.31042179
title: RGG-motif protein Scd6 affects oxidative stress response by regulating cytosolic caTalase T1 (Ctt1)

description: In response to stress, cells undergo gene expression reprogramming to cope with external stimuli. Cells utilize a conserved stress response mechanism called global downregulation of translation, leading to the storage of translationally repressed mRNAs in RNA granules. During oxidative stress induced by H2O2, genes responsible for combating oxidative stress, such as catalases, are strongly induced. However, the post-transcriptional regulatory events affecting these genes during H2O2 stress are not well-explored. Scd6, an RGG-motif-containing protein in yeast, acts as a translational repressor through its interaction with eIF4G1. This study identifies the role of Scd6 in oxidative stress response by regulating cytoplasmic catalase T1 (CTT1). We observe that peroxide stress induces the assembly of Scd6 puncta, which do not colocalize with P-bodies or stress granules. Scd6 overexpression increased sensitivity, while deletion enhanced tolerance to H2O2 treatment. Increased ROS accumulation and decreased Ctt1 protein levels were observed upon Scd6 overexpression due to translation repression of CTT1 mRNA. CTT1 mRNA interacts with Scd6. smFISH analysis and RNA immunoprecipitation studies reveal that localization of Scd6 to puncta upon peroxide stress reduces its interaction with CTT1 mRNA, allowing derepression. The role of Scd6 in peroxide stress response is conserved since the human homolog LSm14A also localizes to puncta upon H2O2 stress, and its overexpression reduces survival in response to peroxide stress. Overall, this study identifies a unique example of translation regulation whereby stress-induced localization of the translation repressor protein to puncta leads to derepression of the target mRNA.
DOI: 10.6084/m9.figshare.31042179.v1
title: RGG-motif protein Scd6 affects oxidative stress response by regulating cytosolic caTalase T1 (Ctt1)

description: In response to stress, cells undergo gene expression reprogramming to cope with external stimuli. Cells utilize a conserved stress response mechanism called global downregulation of translation, leading to the storage of translationally repressed mRNAs in RNA granules. During oxidative stress induced by H2O2, genes responsible for combating oxidative stress, such as catalases, are strongly induced. However, the post-transcriptional regulatory events affecting these genes during H2O2 stress are not well-explored. Scd6, an RGG-motif-containing protein in yeast, acts as a translational repressor through its interaction with eIF4G1. This study identifies the role of Scd6 in oxidative stress response by regulating cytoplasmic catalase T1 (CTT1). We observe that peroxide stress induces the assembly of Scd6 puncta, which do not colocalize with P-bodies or stress granules. Scd6 overexpression increased sensitivity, while deletion enhanced tolerance to H2O2 treatment. Increased ROS accumulation and decreased Ctt1 protein levels were observed upon Scd6 overexpression due to translation repression of CTT1 mRNA. CTT1 mRNA interacts with Scd6. smFISH analysis and RNA immunoprecipitation studies reveal that localization of Scd6 to puncta upon peroxide stress reduces its interaction with CTT1 mRNA, allowing derepression. The role of Scd6 in peroxide stress response is conserved since the human homolog LSm14A also localizes to puncta upon H2O2 stress, and its overexpression reduces survival in response to peroxide stress. Overall, this study identifies a unique example of translation regulation whereby stress-induced localization of the translation repressor protein to puncta leads to derepression of the target mRNA.
DOI: 10.15156/bio/sh1065613.10fu
title: SH1065613.10FU

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/sh1065618.10fu
title: SH1065618.10FU

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/sh1065619.10fu
title: SH1065619.10FU

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/sh1065620.10fu
title: SH1065620.10FU

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/sh1065621.10fu
title: SH1065621.10FU

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/sh1065623.10fu
title: SH1065623.10FU

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/sh1065624.10fu
title: SH1065624.10FU

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.ugfzh9
title: Occurrence Download

description: A dataset containing 5166 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Ecuador",
 "OccurrenceStatus is Present",
 "TaxonKey is Bangsia T.E.Penard, 1919"
 ]
}

 The dataset includes 5166 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000993-250227182400228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mxrn3n
title: Occurrence Download

description: A dataset containing 19272 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Cedrela odorata L."
 ]
}

 The dataset includes 19272 records from 558 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000982-250227182430271/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nmcews
title: Occurrence Download

description: A dataset containing 4838 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Vachellia pennatula (Schltdl. & Cham.) Seigler & Ebinger"
 ]
}

 The dataset includes 4838 records from 163 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000974-250227182430271/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14896928
title: A cross-species analysis of neuroanatomical covariance sex differences in humans and mice

description: Extended data associated with "A cross-species analysis of neuroanatomical covariance sex differences in humans and mice"

Extended Table 1-1. All pairwise covariance sex difference results in mice. Differences significance status is defined in the “signif” and “signif_adj” columns, corresponding to whether the difference is significant after permutation testing or after permutation testing and multiple comparisons corrections.

Extended Table 1-2. All pairwise covariance sex difference results in humans. Differences significance status is defined in the “signif” and “signif_adj” columns, corresponding to whether the difference is significant after permutation testing or after permutation testing and multiple comparisons corrections.

Extended Table 3-1. All regional mean covariance sex differences in mice. Signed values are indicated as “meanCov_signed”. Absolute values are indicated as “meanCov_absolute”.

Extended Table 3-2. All regional mean covariance sex differences in humans. Signed values are indicated as “meanCov_signed”. Absolute values are indicated as “meanCov_absolute”.
DOI: 10.5281/zenodo.14896929
title: A cross-species analysis of neuroanatomical covariance sex differences in humans and mice

description: Extended data associated with "A cross-species analysis of neuroanatomical covariance sex differences in humans and mice"

Extended Table 1-1. All pairwise covariance sex difference results in mice. Differences significance status is defined in the “signif” and “signif_adj” columns, corresponding to whether the difference is significant after permutation testing or after permutation testing and multiple comparisons corrections.

Extended Table 1-2. All pairwise covariance sex difference results in humans. Differences significance status is defined in the “signif” and “signif_adj” columns, corresponding to whether the difference is significant after permutation testing or after permutation testing and multiple comparisons corrections.

Extended Table 3-1. All regional mean covariance sex differences in mice. Signed values are indicated as “meanCov_signed”. Absolute values are indicated as “meanCov_absolute”.

Extended Table 3-2. All regional mean covariance sex differences in humans. Signed values are indicated as “meanCov_signed”. Absolute values are indicated as “meanCov_absolute”.
DOI: 10.15468/dl.h88ewd
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Portugal",
 "OccurrenceStatus is Present",
 "TaxonKey is Aconitum napellus subsp. lusitanicum Rouy",
 "Year 1975-2025"
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000996-250227182400228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zfvwyq
title: Occurrence Download

description: A dataset containing 42354 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is South America",
 "Country is one of (Brazil, Argentina)",
 "TaxonKey is Mesembrinibis cayennensis (Gmelin, 1789)",
 "Year 1000-2024"
 ]
}

 The dataset includes 42354 records from 28 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000997-250227182400228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8ay2cw
title: Occurrence Download

description: A dataset containing 42067 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is EOD – eBird Observation Dataset",
 "PublishingCountry is United States Minor Outlying Islands"
 ]
}

 The dataset includes 42067 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000986-250227182430271/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zqtqcj
title: Occurrence Download

description: A dataset containing 4185 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Alternanthera brasiliana (L.) Kuntze)",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Living Specimen, Machine Observation, Literature Occurrence)",
 "Geometry POLYGON((-180 -90,180 -90,180 90,-180 90,-180 -90))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1945"
 ]
}

 The dataset includes 4185 records from 231 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000977-250227182430271/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pdmt42
title: Occurrence Download

description: A dataset containing 8769 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Sceloporus torquatus Wiegmann, 1828"
 ]
}

 The dataset includes 8769 records from 72 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001002-250227182400228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.z6qmtc
title: Occurrence Download

description: A dataset containing 13169 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pogona vitticeps (Ahl, 1926)"
 ]
}

 The dataset includes 13169 records from 76 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000988-250227182430271/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rdt8gb
title: Occurrence Download

description: A dataset containing 274 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Puma concolor concolor"
 ]
}

 The dataset includes 274 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000989-250227182430271/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fze2pe
title: Occurrence Download

description: A dataset containing 375496 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Bacterial members of the Pinus pinaster rhizosphere microbiota in a forest subjected to drought conditions"
 ]
}

 The dataset includes 375496 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001005-250227182400228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rzkuaw
title: Occurrence Download

description: A dataset containing 30287 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is North America",
 "TaxonKey is Anaxyrus woodhousii (Girard, 1854)",
 "Year 1855-2025"
 ]
}

 The dataset includes 30287 records from 90 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000992-250227182430271/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8gt7an
title: Occurrence Download

description: A dataset containing 2051 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Occurrence evidence, Specimen)",
 "Continent is North America",
 "Country is one of (United States of America, Mexico)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is one of (Canis lupus baileyi Nelson & Goldman, 1929, Canis lupus lupus)",
 "Year 1897-2025"
 ]
}

 The dataset includes 2051 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001010-250227182400228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.