cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.26590560.v1
title: Additional file 1 of On the correspondence between the transcriptomic response of a compound and its effects on its targets

description: Additional file 1. 1) target_high_correlation_cell_lines: Transcriptomic similarity for chemicals that share the same target. The transcriptomic similarity is calculated on the same cell line. 2) transcriptomic_high_correlation_cell_lines: Target similarity for the pairs of drugs with the highest transcriptomic similarity (&gt;0.6) observed in the same cell line.
DOI: 10.6084/m9.figshare.26590560
title: Additional file 1 of On the correspondence between the transcriptomic response of a compound and its effects on its targets

description: Additional file 1. 1) target_high_correlation_cell_lines: Transcriptomic similarity for chemicals that share the same target. The transcriptomic similarity is calculated on the same cell line. 2) transcriptomic_high_correlation_cell_lines: Target similarity for the pairs of drugs with the highest transcriptomic similarity (&gt;0.6) observed in the same cell line.
DOI: 10.6084/m9.figshare.26590284.v1
title: Additional file 1 of Rule-based process indicators of information processing explain performance differences in PIAAC web search tasks

description: Supplementary Material 1
DOI: 10.6084/m9.figshare.26565306.v1
title: Additional file 2 of Novel insights into the somatic proteome of Strongyloides stercoralis infective third-stage larvae

description: Additional file 2 : Table S2. Proteins identified in the present study and already reported in the literature as: (i) associated with Strongyloides parasitism; (ii) part of iL3 proteome; (iii) potentially immunogenic.
DOI: 10.6084/m9.figshare.26590284
title: Additional file 1 of Rule-based process indicators of information processing explain performance differences in PIAAC web search tasks

description: Supplementary Material 1
DOI: 10.15468/dl.7pug3d
title: Occurrence Download

description: A dataset containing 15 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((144.398929 -36.681167, 144.398929 -36.683413, 144.401175 -36.683413, 144.401175 -36.681167, 144.398929 -36.681167))"
 ]
}

 The dataset includes 15 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0065899-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mhvgf9
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((149.290279 -32.31758, 149.290279 -32.322071, 149.294771 -32.322071, 149.294771 -32.31758, 149.290279 -32.31758))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0065900-240626123714530/datasets/export for details.
DOI: 10.6084/m9.figshare.26565303
title: Additional file 1 of Novel insights into the somatic proteome of Strongyloides stercoralis infective third-stage larvae

description: Additional file 1: Table S1. Annotated dataset. The dataset includes peptide list, protein identification, gene ontology annotation and InterPro annotation.
DOI: 10.6084/m9.figshare.26590533
title: Additional file 9 of Integrating automated liquid handling in the separation workflow of extracellular vesicles enhances specificity and reproducibility

description: Additional file 9: Table S3. Cost calculations.
DOI: 10.6084/m9.figshare.26590533.v1
title: Additional file 9 of Integrating automated liquid handling in the separation workflow of extracellular vesicles enhances specificity and reproducibility

description: Additional file 9: Table S3. Cost calculations.
DOI: 10.6084/m9.figshare.26590527
title: Additional file 7 of Integrating automated liquid handling in the separation workflow of extracellular vesicles enhances specificity and reproducibility

description: Additional file 7: Table S1. rEV data.
DOI: 10.6084/m9.figshare.26590527.v1
title: Additional file 7 of Integrating automated liquid handling in the separation workflow of extracellular vesicles enhances specificity and reproducibility

description: Additional file 7: Table S1. rEV data.
DOI: 10.6084/m9.figshare.26590530
title: Additional file 8 of Integrating automated liquid handling in the separation workflow of extracellular vesicles enhances specificity and reproducibility

description: Additional file 8: Table S2. MS/MS data.
DOI: 10.6084/m9.figshare.26590530.v1
title: Additional file 8 of Integrating automated liquid handling in the separation workflow of extracellular vesicles enhances specificity and reproducibility

description: Additional file 8: Table S2. MS/MS data.
DOI: 10.6084/m9.figshare.26649477
title: Additional file 2 of Cortical structural changes of morphometric similarity network in early-onset schizophrenia correlate with specific transcriptional expression patterns

description: Additional file 2: Table. S1-S10. Table S1. The GWAS summary datasets of six psychiatric disorders from FinnGen R9 database. Table. S2. Regions showing abnormal MSN strength in EOS1 and EOS2 subtype. Table. S3. Pearson’s correlation analysis between PANSS score and abnormal MSN strength in EOS1 and EOS2 subtype. Table. S4. Results of PLS1 scores and case-control t-values in EOS1 and EOS2 subtype. Table. S5. Gene list of PLS1+ and PLS- genes in EOS1 and EOS2 subtype. Table. S6. The expression levels and spatial correlation of 69 overlapped SCZ-related genes. Table. S7. The DGEs of six mental disorders from published study. Table. S8. Results of GO and KEGG enrichment for PLS1+ and PLS1- genes in different EOS subtypes. Table. S9. Results of ssGSEA scores for different cells. Table. S10. Results of cellular overlapped genes with PLS1+ and PLS1- genes in different EOS subtypes.
DOI: 10.6084/m9.figshare.26649477.v1
title: Additional file 2 of Cortical structural changes of morphometric similarity network in early-onset schizophrenia correlate with specific transcriptional expression patterns

description: Additional file 2: Table. S1-S10. Table S1. The GWAS summary datasets of six psychiatric disorders from FinnGen R9 database. Table. S2. Regions showing abnormal MSN strength in EOS1 and EOS2 subtype. Table. S3. Pearson’s correlation analysis between PANSS score and abnormal MSN strength in EOS1 and EOS2 subtype. Table. S4. Results of PLS1 scores and case-control t-values in EOS1 and EOS2 subtype. Table. S5. Gene list of PLS1+ and PLS- genes in EOS1 and EOS2 subtype. Table. S6. The expression levels and spatial correlation of 69 overlapped SCZ-related genes. Table. S7. The DGEs of six mental disorders from published study. Table. S8. Results of GO and KEGG enrichment for PLS1+ and PLS1- genes in different EOS subtypes. Table. S9. Results of ssGSEA scores for different cells. Table. S10. Results of cellular overlapped genes with PLS1+ and PLS1- genes in different EOS subtypes.
DOI: 10.6084/m9.figshare.26649483
title: Additional file 1 of Transcriptome and histological analyses on the uterus of freckle egg laying hens

description: Additional file 1: TableS1. Gene primer sequences were verified by QRT-PCR.
DOI: 10.6084/m9.figshare.26649483.v1
title: Additional file 1 of Transcriptome and histological analyses on the uterus of freckle egg laying hens

description: Additional file 1: TableS1. Gene primer sequences were verified by QRT-PCR.
DOI: 10.6084/m9.figshare.26649486
title: Additional file 2 of Transcriptome and histological analyses on the uterus of freckle egg laying hens

description: Additional file 2: TableS2. Data quality control table.
DOI: 10.6084/m9.figshare.26649486.v1
title: Additional file 2 of Transcriptome and histological analyses on the uterus of freckle egg laying hens

description: Additional file 2: TableS2. Data quality control table.
DOI: 10.6084/m9.figshare.26649489
title: Additional file 3 of Transcriptome and histological analyses on the uterus of freckle egg laying hens

description: Additional file 3: TableS3. Differential Gene Expression Table.
DOI: 10.6084/m9.figshare.26649489.v1
title: Additional file 3 of Transcriptome and histological analyses on the uterus of freckle egg laying hens

description: Additional file 3: TableS3. Differential Gene Expression Table.
DOI: 10.6084/m9.figshare.26649492
title: Additional file 4 of Transcriptome and histological analyses on the uterus of freckle egg laying hens

description: Additional file 4: TableS4. GO pathway enrichment table.
DOI: 10.6084/m9.figshare.26649492.v1
title: Additional file 4 of Transcriptome and histological analyses on the uterus of freckle egg laying hens

description: Additional file 4: TableS4. GO pathway enrichment table.
DOI: 10.6084/m9.figshare.26649495
title: Additional file 5 of Transcriptome and histological analyses on the uterus of freckle egg laying hens

description: Additional file 5: Table S5. KEGG pathway enrichment table.
DOI: 10.6084/m9.figshare.26649495.v1
title: Additional file 5 of Transcriptome and histological analyses on the uterus of freckle egg laying hens

description: Additional file 5: Table S5. KEGG pathway enrichment table.
DOI: 10.15468/dl.7k8akx
title: Occurrence Download

description: A dataset containing 273002 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Royal Netherlands Institute for Sea Research (NIOZ) - Kom Fyke Mokbaai"
 ]
}

 The dataset includes 273002 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0065893-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9en6rq
title: Occurrence Download

description: A dataset containing 46328319 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Asteraceae"
 ]
}

 The dataset includes 46328319 records from 8992 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0065889-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.np25d6
title: Occurrence Download

description: A dataset containing 17546 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Senna artemisioides (Gaudich. ex DC.) Randell",
 "BasisOfRecord is one of (Human Observation, Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 17546 records from 28 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008251-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34808/gwpr-ns40
title: Phase composition (XRD patterns) of the tested magnesium potassium phosphate bone cements with varying Mg/P, P/L ratios and MgO particle sizes

description: The cement specimens, after hardening, were crushed and ground in a mortar and then analyzed by a Phillips X’Pert Pro X-ray diffractometer (Almelo, The Netherlands) using Cu-Kα radiation. Data were collected from 2θ = 20–50° with a step size of 0.02°, a 40 kV voltage and a 40 mA current. The phase identification has been undertaken using HighScore Plus software with the International Centre for Diffraction Data (ICDD) database.
DOI: 10.25824/redu/5a1otv
title: Pycolleff and cppcolleff: modules for impedance analysis and wake-field induced instabilities evaluation

description: Modules to simulate collective effects in accelerators.
DOI: 10.15156/bio/sh0184979.10fu
title: SH0184979.10FU

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/sh0184980.10fu
title: SH0184980.10FU

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/sh0184981.10fu
title: SH0184981.10FU

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/sh0184982.10fu
title: SH0184982.10FU

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.44a4d3
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((77.73554799999999 19.6413, 77.66097499999999 19.635724, 77.58825299999999 19.619134, 77.519187 19.591943, 77.45548700000001 19.554823, 77.398729 19.508697, 77.350313 19.454707, 77.31142800000001 19.394188, 77.283024 19.328638, 77.26579099999999 19.259675, 77.260138 19.189001, 77.26619100000001 19.118356, 77.28378600000001 19.049479, 77.312477 18.984063, 77.351546 18.923713, 77.400026 18.86991, 77.45672 18.82397, 77.520236 18.78702, 77.589015 18.759962, 77.661376 18.743458, 77.73554799999999 18.737912, 77.80972 18.743458, 77.882081 18.759962, 77.95086000000001 18.78702, 78.014376 18.82397, 78.07107000000001 18.86991, 78.11955 18.923713, 78.158619 18.984063, 78.18731 19.049479, 78.204905 19.118356, 78.21095800000001 19.189001, 78.205305 19.259675, 78.18807200000001 19.328638, 78.159668 19.394188, 78.120783 19.454707, 78.072367 19.508697, 78.015609 19.554823, 77.951909 19.591943, 77.88284299999999 19.619134, 77.810121 19.635724, 77.73554799999999 19.6413))"},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001821-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh0184983.10fu
title: SH0184983.10FU

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/sh0184984.10fu
title: SH0184984.10FU

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/sh0184985.10fu
title: SH0184985.10FU

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/sh0184986.10fu
title: SH0184986.10FU

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/sh0184987.10fu
title: SH0184987.10FU

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.