cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh0191670.10fu
title: SH0191670.10FU

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/sh0191671.10fu
title: SH0191671.10FU

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/sh0191672.10fu
title: SH0191672.10FU

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/sh0191673.10fu
title: SH0191673.10FU

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/sh0191674.10fu
title: SH0191674.10FU

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/sh0191675.10fu
title: SH0191675.10FU

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/sh0191676.10fu
title: SH0191676.10FU

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.15202961
title: EVFEMIZMLARNING SHAXS IJTIMOIY MAQOMINI IFODALASHDAGI O'RNI
DOI: 10.5281/zenodo.15202962
title: EVFEMIZMLARNING SHAXS IJTIMOIY MAQOMINI IFODALASHDAGI O'RNI
DOI: 10.15468/dl.ueszdb
title: Occurrence Download

description: A dataset containing 49 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Japan",
 "GadmGid is JPN.1.36_1",
 "TaxonKey is Milvus migrans (Boddaert, 1783)",
 "Year 2023-2025"
 ]
}

 The dataset includes 49 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019573-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.26728771
title: Additional file 3 of Differentiation between descending thoracic aortic diseases using machine learning and plasma proteomic signatures

description: Supplementary material 3: Table S2. Mean protein quantities in each disease group, mean difference, log2(Type B/DTAA), negative log10 adjusted p-values and adjusted p-values for all 198 proteins. Positive log2(Type B/DTAA) indicates mean is higher in Type B group. Negative log10(adjusted p-value) &gt; 2 corresponds to an adjusted p-value &lt;0.01.
DOI: 10.6084/m9.figshare.26728771.v1
title: Additional file 3 of Differentiation between descending thoracic aortic diseases using machine learning and plasma proteomic signatures

description: Supplementary material 3: Table S2. Mean protein quantities in each disease group, mean difference, log2(Type B/DTAA), negative log10 adjusted p-values and adjusted p-values for all 198 proteins. Positive log2(Type B/DTAA) indicates mean is higher in Type B group. Negative log10(adjusted p-value) &gt; 2 corresponds to an adjusted p-value &lt;0.01.
DOI: 10.15468/dl.25s3yz
title: Occurrence Download

description: A dataset containing 43155 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Observation, Machine Observation, Human Observation, Occurrence evidence)",
 "Geometry POLYGON((-74.53776 -83.09515,-21.12107 -82.95376,-21.12107 2.88001,-70.34333 2.42189,-72.667 -57.25574,-74.53776 -83.09515))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Megaptera Gray, 1846"
 ]
}

 The dataset includes 43155 records from 26 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0068349-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.26624452
title: Additional file 1 of Genomic architecture of autism spectrum disorder in Qatar: The BARAKA-Qatar Study

description: Additional file 1: Table S1. Detail phenotypes of individuals with ASD, Table S2. Known ASD/NDD gene panels, Table S3. Known mtDNA pathogenic variants associated with hearing loss/Deafness at greater than 2% heteroplasmy, Table S4. Candidate dominant variants in Novel genes/regions associated with ASD.
DOI: 10.6084/m9.figshare.26728819
title: Additional file 3 of Pan-cancer analysis of the TRAF family genes and their correlation with prognosis, TME, immune and drug sensitivity

description: Supplementary Material 3: Table S1: Detailed information on 33 cancers.
DOI: 10.6084/m9.figshare.26728819.v1
title: Additional file 3 of Pan-cancer analysis of the TRAF family genes and their correlation with prognosis, TME, immune and drug sensitivity

description: Supplementary Material 3: Table S1: Detailed information on 33 cancers.
DOI: 10.6084/m9.figshare.26728822
title: Additional file 4 of Pan-cancer analysis of the TRAF family genes and their correlation with prognosis, TME, immune and drug sensitivity

description: Supplementary Material 4: Table S2: TRAF family gene expression was related to the prognosis of different cancers in PrognoScan.
DOI: 10.6084/m9.figshare.26728822.v1
title: Additional file 4 of Pan-cancer analysis of the TRAF family genes and their correlation with prognosis, TME, immune and drug sensitivity

description: Supplementary Material 4: Table S2: TRAF family gene expression was related to the prognosis of different cancers in PrognoScan.
DOI: 10.6084/m9.figshare.26728825
title: Additional file 5 of Pan-cancer analysis of the TRAF family genes and their correlation with prognosis, TME, immune and drug sensitivity

description: Supplementary material 5: Table S3: Correlation coefficients and p values for the association between TRAF family and ESTIMATE scores, RNAss, and DNAss.
DOI: 10.6084/m9.figshare.26728825.v1
title: Additional file 5 of Pan-cancer analysis of the TRAF family genes and their correlation with prognosis, TME, immune and drug sensitivity

description: Supplementary material 5: Table S3: Correlation coefficients and p values for the association between TRAF family and ESTIMATE scores, RNAss, and DNAss.
DOI: 10.6084/m9.figshare.26728828.v1
title: Additional file 6 of Pan-cancer analysis of the TRAF family genes and their correlation with prognosis, TME, immune and drug sensitivity

description: Supplementary Material 6: Table S4: Correlation coefficients and p values for the drug sensitivity analysis of TRAF family genes
DOI: 10.6084/m9.figshare.26728831
title: Additional file 7 of Pan-cancer analysis of the TRAF family genes and their correlation with prognosis, TME, immune and drug sensitivity

description: Supplementary material 7: Table S5: Sequences of primers and siRNAs used in this study
DOI: 10.6084/m9.figshare.26728828
title: Additional file 6 of Pan-cancer analysis of the TRAF family genes and their correlation with prognosis, TME, immune and drug sensitivity

description: Supplementary Material 6: Table S4: Correlation coefficients and p values for the drug sensitivity analysis of TRAF family genes
DOI: 10.6084/m9.figshare.26728831.v1
title: Additional file 7 of Pan-cancer analysis of the TRAF family genes and their correlation with prognosis, TME, immune and drug sensitivity

description: Supplementary material 7: Table S5: Sequences of primers and siRNAs used in this study
DOI: 10.15468/dl.q5fqs6
title: Occurrence Download

description: A dataset containing 1058 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((8.85235 47.05329,8.85529 47.05329,8.85529 47.05588,8.85235 47.05588,8.85235 47.05329))",
 "TaxonKey is Tracheophyta"
 ]
}

 The dataset includes 1058 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0068353-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5jan7j
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "MULTIPOLYGON (((148.558149 -33.132805, 148.560395 -33.132805, 148.560395 -33.13505, 148.567132 -33.13505, 148.567132 -33.128313, 148.564886 -33.128313, 148.564886 -33.126067, 148.558149 -33.126067, 148.558149 -33.132805)), ((148.558149 -33.132805, 148.553657 -33.132805, 148.553657 -33.139542, 148.558149 -33.139542, 148.558149 -33.132805)), ((148.564886 -33.126067, 148.569378 -33.126067, 148.569378 -33.121576, 148.564886 -33.121576, 148.564886 -33.126067)), ((148.569378 -33.126067, 148.569378 -33.132805, 148.571624 -33.132805, 148.571624 -33.128313, 148.573869 -33.128313, 148.573869 -33.126067, 148.569378 -33.126067)))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0068354-240626123714530/datasets/export for details.
DOI: 10.6084/m9.figshare.26728921
title: Additional file 1 of From “Husky” to “Bulldog”– behavioural correlates between castration and breed groups in the domestic dog (Canis lupus familiaris)

description: Supplementary Material 1
DOI: 10.6084/m9.figshare.26728921.v1
title: Additional file 1 of From “Husky” to “Bulldog”– behavioural correlates between castration and breed groups in the domestic dog (Canis lupus familiaris)

description: Supplementary Material 1
DOI: 10.6084/m9.figshare.26728924
title: Additional file 2 of From “Husky” to “Bulldog”– behavioural correlates between castration and breed groups in the domestic dog (Canis lupus familiaris)

description: Supplementary Material 2
DOI: 10.6084/m9.figshare.26728924.v1
title: Additional file 2 of From “Husky” to “Bulldog”– behavioural correlates between castration and breed groups in the domestic dog (Canis lupus familiaris)

description: Supplementary Material 2
DOI: 10.6084/m9.figshare.26726357.v1
title: Additional file 8 of No association between peripheral serotonin-gene-related DNA methylation and brain serotonin neurotransmission in the healthy and depressed state

description: Table S8. Results of associations between CpGLV+cells and cell proportions, sex, age and genotype (XLSX 10 kb)
DOI: 10.6084/m9.figshare.26726318.v1
title: Additional file 1 of Domestic (re)infestation risk with the main vector Triatoma infestans increases with surrounding green vegetation and social vulnerability in the Argentine Chaco

description: Supplementary material 1: Dataset S1. House-level infestation data for 734 houses in Pampa del Indio. Dataset S2. House-level infestation data for 1982 houses in Pampa del Indio.
DOI: 10.6084/m9.figshare.26726279.v1
title: Additional file 1 of Hypothalamic protein profiling from mice subjected to social defeat stress

description: Supplementary Material 1.
DOI: 10.15468/dl.g9fn2k
title: Occurrence Download

description: A dataset containing 244 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Brazil",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Cichla kelberi Kullander & Ferreira, 2006"
 ]
}

 The dataset includes 244 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0068355-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.y9z9zs
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "MULTIPOLYGON (((148.935443 -33.11933, 148.935443 -33.121576, 148.933197 -33.121576, 148.933197 -33.126067, 148.928706 -33.126067, 148.928706 -33.121576, 148.92646 -33.121576, 148.92646 -33.128313, 148.939935 -33.128313, 148.939935 -33.132805, 148.942181 -33.132805, 148.942181 -33.126067, 148.939935 -33.126067, 148.939935 -33.121576, 148.942181 -33.121576, 148.942181 -33.11933, 148.935443 -33.11933)), ((148.939935 -33.132805, 148.935443 -33.132805, 148.935443 -33.13505, 148.939935 -33.13505, 148.939935 -33.132805)), ((148.942181 -33.132805, 148.942181 -33.13505, 148.944426 -33.13505, 148.944426 -33.132805, 148.942181 -33.132805)), ((148.944426 -33.13505, 148.944426 -33.139542, 148.948918 -33.139542, 148.948918 -33.13505, 148.944426 -33.13505)))"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0068356-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.13316014
title: South American Regional Indices on Convectively Coupled Waves

description: This dataset provides regional indices for Convectively Coupled Waves (CCWs) over South America. The indices include data on wave activity a covering a specified temporal and spatial range. The data is valuable for researchers studying the influence of CCWs on regional climate and weather patterns.

Keywords: South American Regional Indices, Convectively Coupled Waves, Climate Data, CCWs Indices

Data Description:



Content: Includes indices for CCWs and time series data.

Format: Available in text and NetCDF format.

Coverage: Temporal coverage from 1979 to 2023 spatial coverage includes tropical South America domain.


Methodology: The indices are derived using EOF analisysis after filtering OLR.

Usage: The data can be used to analyze the seasonal and interannual variability of CCWs and their impact on South American weather patterns. Example applications include climate modeling, weather prediction, and atmospheric research.

Acknowledgments: This work was supported by NOAA grant number NA22OAR4310611 and NSF CAREER grant number 2236433 .

License: This dataset is licensed under  Creative Commons Attribution 4.0 International License.

Contact Information: For more information, please contact : mayta@wisc.edu
DOI: 10.5281/zenodo.13316015
title: South American Regional Indices on Convectively Coupled Waves

description: This dataset provides regional indices for Convectively Coupled Waves (CCWs) over South America. The indices include data on wave activity a covering a specified temporal and spatial range. The data is valuable for researchers studying the influence of CCWs on regional climate and weather patterns.

Keywords: South American Regional Indices, Convectively Coupled Waves, Climate Data, CCWs Indices

Data Description:



Content: Includes indices for CCWs and time series data.

Format: Available in text and NetCDF format.

Coverage: Temporal coverage from 1979 to 2023 spatial coverage includes tropical South America domain.


Methodology: The indices are derived using EOF analisysis after filtering OLR.

Usage: The data can be used to analyze the seasonal and interannual variability of CCWs and their impact on South American weather patterns. Example applications include climate modeling, weather prediction, and atmospheric research.

Acknowledgments: This work was supported by NOAA grant number NA22OAR4310611 and NSF CAREER grant number 2236433 .

License: This dataset is licensed under  Creative Commons Attribution 4.0 International License.

Contact Information: For more information, please contact : mayta@wisc.edu
DOI: 10.6084/m9.figshare.26624446.v1
title: Additional file 5 of Stabilizing histamine release in gut mast cells mitigates peripheral and central inflammation after stroke

description: Additional file 5. Human Brain Autopsy sections from Stroke and Healthy control samples.
DOI: 10.6084/m9.figshare.26624449.v1
title: Additional file 6 of Stabilizing histamine release in gut mast cells mitigates peripheral and central inflammation after stroke

description: Additional file 6. Human blood plasma from acute to chronic stroke patients and healthy control subjects.
DOI: 10.6084/m9.figshare.26624449
title: Additional file 6 of Stabilizing histamine release in gut mast cells mitigates peripheral and central inflammation after stroke

description: Additional file 6. Human blood plasma from acute to chronic stroke patients and healthy control subjects.
DOI: 10.6084/m9.figshare.26624446
title: Additional file 5 of Stabilizing histamine release in gut mast cells mitigates peripheral and central inflammation after stroke

description: Additional file 5. Human Brain Autopsy sections from Stroke and Healthy control samples.
DOI: 10.15468/dl.gwrtf5
title: Occurrence Download

description: A dataset containing 14 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (Nepal, China)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Rhododendron cowanianum Davidian"
 ]
}

 The dataset includes 14 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0068357-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.26729047
title: Additional file 1 of Unraveling malignant phenotype of peritumoral tissue: transcriptomic insights into early-stage breast cancer

description: Supplementary Material 1
DOI: 10.6084/m9.figshare.26729047.v1
title: Additional file 1 of Unraveling malignant phenotype of peritumoral tissue: transcriptomic insights into early-stage breast cancer

description: Supplementary Material 1