cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh0192474.10fu
title: SH0192474.10FU

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/sh0192475.10fu
title: SH0192475.10FU

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/sh0192476.10fu
title: SH0192476.10FU

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/sh0192477.10fu
title: SH0192477.10FU

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/sh0192478.10fu
title: SH0192478.10FU

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/sh0192479.10fu
title: SH0192479.10FU

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/sh0192480.10fu
title: SH0192480.10FU

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: 10.5281/zenodo.17165722
title: Impaired axon regeneration and heightened synaptic dynamics in the injured aged mammalian cortex

description: Dataset Overview

This dataset contains raw in vivo two-photon imaging data of axons associated with the publication ‘Impaired axon regeneration and heightened synaptic dynamics in the injured aged mammalian cortex.’ The images were collected from mice as part of the experiments reported in the study and represent the primary data underlying the analyses presented in the paper. Further details on data acquisition and processing are available in the Methods section of the publication.

File Structure





Animal-level foldersEach top-level folder corresponds to one animal. Folder names follow the format:Initials–AnimalNumber–Identifier (e.g., CB_005_RTr...).




Stitched overview imagesEach folder includes a stitched image showing an overview of axons. This image is created by combining several ROIs, providing context for their spatial arrangement.Example: CB_005_RTr_ax1.jpg.The star in the stitched image marks where the axon was lesioned.




Metadata filesEach folder contains a .txt file with additional details, including:





Imaging coordinates




Experimental markers




Other acquisition notes





Session and ROI Organization





Data is organized into sessions labeled a, b, c, etc.




Within each session, files are organized by ROI number.Example folder: CB_005_RTr_a-001.




If a folder has no session letter, it represents the baseline pre-session image.



Additional Experiments





Chronic 2: Contains imaging performed long after the initial experiment to assess axon survival.




Degeneration experiments: Stored in separate folders. These track axon degeneration following a lesion over time and use the same folder/session/ROI structure as described above.



How to Cite

If you use this dataset, please cite it as:



[C. Bass, A.A. Bharath, V. De Paola]. (2025). Dataset for: Impaired axon regeneration and heightened synaptic dynamics in the injured aged mammalian cortex. Zenodo. 10.5281/zenodo.17165722
DOI: 10.5281/zenodo.17165721
title: Impaired axon regeneration and heightened synaptic dynamics in the injured aged mammalian cortex

description: Dataset Overview

This dataset contains raw in vivo two-photon imaging data of axons associated with the publication ‘Impaired axon regeneration and heightened synaptic dynamics in the injured aged mammalian cortex.’ The images were collected from mice as part of the experiments reported in the study and represent the primary data underlying the analyses presented in the paper. Further details on data acquisition and processing are available in the Methods section of the publication.

File Structure





Animal-level foldersEach top-level folder corresponds to one animal. Folder names follow the format:Initials–AnimalNumber–Identifier (e.g., CB_005_RTr...).




Stitched overview imagesEach folder includes a stitched image showing an overview of axons. This image is created by combining several ROIs, providing context for their spatial arrangement.Example: CB_005_RTr_ax1.jpg.The star in the stitched image marks where the axon was lesioned.




Metadata filesEach folder contains a .txt file with additional details, including:





Imaging coordinates




Experimental markers




Other acquisition notes





Session and ROI Organization





Data is organized into sessions labeled a, b, c, etc.




Within each session, files are organized by ROI number.Example folder: CB_005_RTr_a-001.




If a folder has no session letter, it represents the baseline pre-session image.



Additional Experiments





Chronic 2: Contains imaging performed long after the initial experiment to assess axon survival.




Degeneration experiments: Stored in separate folders. These track axon degeneration following a lesion over time and use the same folder/session/ROI structure as described above.



How to Cite

If you use this dataset, please cite it as:



[C. Bass, A.A. Bharath, V. De Paola]. (2025). Dataset for: Impaired axon regeneration and heightened synaptic dynamics in the injured aged mammalian cortex. Zenodo. 10.5281/zenodo.17165722
DOI: 10.5281/zenodo.17225625
title: Decolonizing Madness Project:Archival literature and Magazines on Psychological Sciences from Lebanon and Tunisia Part one
title: Archival literature and Magazines on Psychological Sciences from Lebanon and Tunisia Part one

description: This data set includes archival documents collected from magazines and newspapers on psychological sciences from Lebanon and Tunisia
DOI: 10.5281/zenodo.17225626
title: Decolonizing Madness Project:Archival literature and Magazines on Psychological Sciences from Lebanon and Tunisia Part one
title: Archival literature and Magazines on Psychological Sciences from Lebanon and Tunisia Part one

description: This data set includes archival documents collected from magazines and newspapers on psychological sciences from Lebanon and Tunisia
DOI: 10.15468/dl.5x6pda
title: Occurrence Download

description: A dataset containing 142190 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Country is Türkiye",
 "OccurrenceStatus is Present",
 "TaxonKey is Anseriformes"
 ]
}

 The dataset includes 142190 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032529-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4qn8wd
title: Occurrence Download

description: A dataset containing 82 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Skeletonema costatum",
 "Country is China",
 "HasCoordinate is true"
 ]
}

 The dataset includes 82 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032603-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rzg9bx
title: Occurrence Download

description: A dataset containing 64645215 species occurrences available in GBIF matching the query:
{
 "Country" : [
 "is India"
 ]
}

 The dataset includes 64645215 records from 3414 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032558-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.56trmj
title: Occurrence Download

description: A dataset containing 25 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Specimen, Human Observation)",
 "Country is Mexico",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Scutellaria lutilabia T.M.Lane & G.L.Nesom"
 ]
}

 The dataset includes 25 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016611-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17044/scilifelab.28210955
title: Multivariate models improve accuracy of genomic prediction for spring frost tolerance in Norway spruce

description: Genomic (SNP data) and phenotype information (measurements of spring frost tolerance, bud burst and height) of the manuscript "Multivariate models improve accuracy of genomic prediction for spring frost tolerance in Norway spruce" are included in attached files. See README for more details about the files. AbstractBackgroundWarming spring temperatures are expected to increase the risk of frost damage to emerging buds of Norway spruce by advancing their spring phenology and increasing the likelihood of damaging stochastic frost event. Current methods for assessing spring frost tolerance rely on field phenotyping after frost, which limits the ability to measure basal frost tolerance due to the sporadic nature of frost events, thereby limiting large-scale sampling. Quantitative phenotyping data are essential for genomic selection (GS) approaches that combine genomic information with phenotypic data to predict complex traits.ResultsIn this study, we introduce a field sampling method to assess basal frost tolerance in Norway spruce using an ion leakage assay, and evaluate the effectiveness of multivariate GS models for predicting spring frost tolerance. We phenotyped 38 families across three consecutive springs at a predetermined early bud-burst stage to assess frost damage. The narrow-sense heritability of spring frost tolerance was estimated at 0.23. A strong genetic correlation between bud burst and frost damage (-0.63) improved prediction accuracy when using a multivariate model that included bud burst as an assisting trait. Additionally, we found that optimizing prediction models by increasing the number of clones in the training set further improved the accuracy of frost tolerance predictions. The observed genetic correlation between basal frost tolerance and bud burst suggests that early-flushing genotypes exhibit higher tolerance to spring frost, providing a new trait to consider in the Norway spruce breeding programs against frost damage.ConclusionThe novel phenotyping method provides highly quantitative data for assessing basal frost tolerance among Norway spruce genotypes. Our study emphasizes the role of basal frost tolerance in the breeding programs of Norway spruce, particularly in the context of a warming climate, where relying solely on frost avoidance through late bud-burst timing may be insufficient. The use of multi-trait genomic prediction models for frost tolerance, incorporating assisting traits and optimized model parameters, enhances prediction accuracy and provides a promising approach for improving frost tolerance in Norway spruce.
DOI: 10.17044/scilifelab.28210955.v1
title: Multivariate models improve accuracy of genomic prediction for spring frost tolerance in Norway spruce

description: Genomic (SNP data) and phenotype information (measurements of spring frost tolerance, bud burst and height) of the manuscript "Multivariate models improve accuracy of genomic prediction for spring frost tolerance in Norway spruce" are included in attached files. See README for more details about the files. AbstractBackgroundWarming spring temperatures are expected to increase the risk of frost damage to emerging buds of Norway spruce by advancing their spring phenology and increasing the likelihood of damaging stochastic frost event. Current methods for assessing spring frost tolerance rely on field phenotyping after frost, which limits the ability to measure basal frost tolerance due to the sporadic nature of frost events, thereby limiting large-scale sampling. Quantitative phenotyping data are essential for genomic selection (GS) approaches that combine genomic information with phenotypic data to predict complex traits.ResultsIn this study, we introduce a field sampling method to assess basal frost tolerance in Norway spruce using an ion leakage assay, and evaluate the effectiveness of multivariate GS models for predicting spring frost tolerance. We phenotyped 38 families across three consecutive springs at a predetermined early bud-burst stage to assess frost damage. The narrow-sense heritability of spring frost tolerance was estimated at 0.23. A strong genetic correlation between bud burst and frost damage (-0.63) improved prediction accuracy when using a multivariate model that included bud burst as an assisting trait. Additionally, we found that optimizing prediction models by increasing the number of clones in the training set further improved the accuracy of frost tolerance predictions. The observed genetic correlation between basal frost tolerance and bud burst suggests that early-flushing genotypes exhibit higher tolerance to spring frost, providing a new trait to consider in the Norway spruce breeding programs against frost damage.ConclusionThe novel phenotyping method provides highly quantitative data for assessing basal frost tolerance among Norway spruce genotypes. Our study emphasizes the role of basal frost tolerance in the breeding programs of Norway spruce, particularly in the context of a warming climate, where relying solely on frost avoidance through late bud-burst timing may be insufficient. The use of multi-trait genomic prediction models for frost tolerance, incorporating assisting traits and optimized model parameters, enhances prediction accuracy and provides a promising approach for improving frost tolerance in Norway spruce.
DOI: 10.15468/dl.gaaued
title: Occurrence Download

description: A dataset containing 248378 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Observation, Machine Observation, Human Observation, Material citation, Living Specimen)",
 "Continent is one of (Africa, Asia, Oceania, Europe, North America, South America)",
 "TaxonKey is Meles Brisson, 1762"
 ]
}

 The dataset includes 248378 records from 1333 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0257278-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.de9m4q
title: Occurrence Download

description: A dataset containing 8300 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Albizia lebbeck (L.) Benth.",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 8300 records from 417 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0263312-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.z5u652
title: Occurrence Download

description: A dataset containing 3301 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Syngnathus fuscus Storer, 1839"
 ]
}

 The dataset includes 3301 records from 70 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0068788-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3886/2stt-hf25
title: Armenia Compact - Irrigation Infrastructure: Final Data Set - Water User Survey
DOI: 10.3886/tnep-my05
title: Armenia Compact - Irrigation Infrastructure: Final Data Set - Water User Survey
DOI: 10.15468/dl.j3r9xd
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((147.421775 -33.393317, 147.421775 -33.4023, 147.42402 -33.4023, 147.42402 -33.404546, 147.426266 -33.404546, 147.426266 -33.409038, 147.433004 -33.409038, 147.433004 -33.4023, 147.426266 -33.4023, 147.426266 -33.400055, 147.42402 -33.400055, 147.42402 -33.393317, 147.421775 -33.393317))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0068789-240626123714530/datasets/export for details.
DOI: 10.15468/dl.nxbtrr
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((147.255585 -33.400055, 147.255585 -33.404546, 147.262323 -33.404546, 147.262323 -33.409038, 147.264569 -33.409038, 147.264569 -33.4023, 147.262323 -33.4023, 147.262323 -33.400055, 147.255585 -33.400055))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0068790-240626123714530/datasets/export for details.