cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25345/c55h7bt37
title: MassIVE Reanalysis RMSV000000354.1473 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of Bioplex AP-MS Dataset for Library Construction, LIPF [launched by fce971e5ede541cca3fc5307a73294d8]
title: Center for Computational Mass Spectrometry (CCMS) systematic reanalysis of public proteomics mass spectrometry (MS) datasets provides a public, large-scale and comparable set of dataset reanalyses results including detailed provenance records. To further facilitate the broad reusability of public proteomics MS data, these reanalyses were also used to build the MassIVE Knowledge Base (MassIVE-KB) spectral library, a community-wide resource derived from hundreds of millions of identified spectra from tens of terabytes of mass spectrometry data.
DOI: 10.25345/c5x05xc4t
title: MassIVE Reanalysis RMSV000000354.1474 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of Bioplex AP-MS Dataset for Library Construction, MAPK12 [launched by fce971e5ede541cca3fc5307a73294d8]
title: Center for Computational Mass Spectrometry (CCMS) systematic reanalysis of public proteomics mass spectrometry (MS) datasets provides a public, large-scale and comparable set of dataset reanalyses results including detailed provenance records. To further facilitate the broad reusability of public proteomics MS data, these reanalyses were also used to build the MassIVE Knowledge Base (MassIVE-KB) spectral library, a community-wide resource derived from hundreds of millions of identified spectra from tens of terabytes of mass spectrometry data.
DOI: 10.25345/c5sb3wz30
title: MassIVE Reanalysis RMSV000000354.1476 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of Bioplex AP-MS Dataset for Library Construction, PDIK1L [launched by fce971e5ede541cca3fc5307a73294d8]
title: Center for Computational Mass Spectrometry (CCMS) systematic reanalysis of public proteomics mass spectrometry (MS) datasets provides a public, large-scale and comparable set of dataset reanalyses results including detailed provenance records. To further facilitate the broad reusability of public proteomics MS data, these reanalyses were also used to build the MassIVE Knowledge Base (MassIVE-KB) spectral library, a community-wide resource derived from hundreds of millions of identified spectra from tens of terabytes of mass spectrometry data.
DOI: 10.25345/c5nk36504
title: MassIVE Reanalysis RMSV000000354.1477 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of Bioplex AP-MS Dataset for Library Construction, WFDC2 [launched by fce971e5ede541cca3fc5307a73294d8]
title: Center for Computational Mass Spectrometry (CCMS) systematic reanalysis of public proteomics mass spectrometry (MS) datasets provides a public, large-scale and comparable set of dataset reanalyses results including detailed provenance records. To further facilitate the broad reusability of public proteomics MS data, these reanalyses were also used to build the MassIVE Knowledge Base (MassIVE-KB) spectral library, a community-wide resource derived from hundreds of millions of identified spectra from tens of terabytes of mass spectrometry data.
DOI: 10.25345/c5ht2gb6c
title: MassIVE Reanalysis RMSV000000354.1475 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of Bioplex AP-MS Dataset for Library Construction, RNF31 [launched by fce971e5ede541cca3fc5307a73294d8]
title: Center for Computational Mass Spectrometry (CCMS) systematic reanalysis of public proteomics mass spectrometry (MS) datasets provides a public, large-scale and comparable set of dataset reanalyses results including detailed provenance records. To further facilitate the broad reusability of public proteomics MS data, these reanalyses were also used to build the MassIVE Knowledge Base (MassIVE-KB) spectral library, a community-wide resource derived from hundreds of millions of identified spectra from tens of terabytes of mass spectrometry data.
DOI: 10.25345/c5d21rj2j
title: MassIVE Reanalysis RMSV000000354.1479 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of Bioplex AP-MS Dataset for Library Construction, PRKCA [launched by fce971e5ede541cca3fc5307a73294d8]
title: Center for Computational Mass Spectrometry (CCMS) systematic reanalysis of public proteomics mass spectrometry (MS) datasets provides a public, large-scale and comparable set of dataset reanalyses results including detailed provenance records. To further facilitate the broad reusability of public proteomics MS data, these reanalyses were also used to build the MassIVE Knowledge Base (MassIVE-KB) spectral library, a community-wide resource derived from hundreds of millions of identified spectra from tens of terabytes of mass spectrometry data.
DOI: 10.25345/c58911q7p
title: MassIVE Reanalysis RMSV000000354.1478 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of Bioplex AP-MS Dataset for Library Construction, LSR [launched by fce971e5ede541cca3fc5307a73294d8]
title: Center for Computational Mass Spectrometry (CCMS) systematic reanalysis of public proteomics mass spectrometry (MS) datasets provides a public, large-scale and comparable set of dataset reanalyses results including detailed provenance records. To further facilitate the broad reusability of public proteomics MS data, these reanalyses were also used to build the MassIVE Knowledge Base (MassIVE-KB) spectral library, a community-wide resource derived from hundreds of millions of identified spectra from tens of terabytes of mass spectrometry data.
DOI: 10.25345/c54j09x22
title: MassIVE Reanalysis RMSV000000354.1480 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of Bioplex AP-MS Dataset for Library Construction, DNASE2 [launched by fce971e5ede541cca3fc5307a73294d8]
title: Center for Computational Mass Spectrometry (CCMS) systematic reanalysis of public proteomics mass spectrometry (MS) datasets provides a public, large-scale and comparable set of dataset reanalyses results including detailed provenance records. To further facilitate the broad reusability of public proteomics MS data, these reanalyses were also used to build the MassIVE Knowledge Base (MassIVE-KB) spectral library, a community-wide resource derived from hundreds of millions of identified spectra from tens of terabytes of mass spectrometry data.
DOI: 10.25345/c50r9m39n
title: MassIVE Reanalysis RMSV000000354.1481 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of Bioplex AP-MS Dataset for Library Construction, MRPL42 [launched by fce971e5ede541cca3fc5307a73294d8]
title: Center for Computational Mass Spectrometry (CCMS) systematic reanalysis of public proteomics mass spectrometry (MS) datasets provides a public, large-scale and comparable set of dataset reanalyses results including detailed provenance records. To further facilitate the broad reusability of public proteomics MS data, these reanalyses were also used to build the MassIVE Knowledge Base (MassIVE-KB) spectral library, a community-wide resource derived from hundreds of millions of identified spectra from tens of terabytes of mass spectrometry data.
DOI: 10.25345/c5w37kv7w
title: MassIVE Reanalysis RMSV000000354.1483 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of Bioplex AP-MS Dataset for Library Construction, CFLAR [launched by fce971e5ede541cca3fc5307a73294d8]
title: Center for Computational Mass Spectrometry (CCMS) systematic reanalysis of public proteomics mass spectrometry (MS) datasets provides a public, large-scale and comparable set of dataset reanalyses results including detailed provenance records. To further facilitate the broad reusability of public proteomics MS data, these reanalyses were also used to build the MassIVE Knowledge Base (MassIVE-KB) spectral library, a community-wide resource derived from hundreds of millions of identified spectra from tens of terabytes of mass spectrometry data.
DOI: 10.6084/m9.figshare.19114844
title: The high spatial resolution multi-scale daily SPI raster dataset over China from 1979 to 2018

description: The daily SPI raster datasets of high spatial resolution in different timescales over China from 1979 to 2018 were developed based on the China Meteorological Forcing Dataset. It has a spatial resolution of 0.1° × 0.1°, a temporal resolution of 1-day, and the timescales of 30-, 90-, and 360-day. All data are in NetCDF format.
DOI: 10.6084/m9.figshare.19114844.v2
title: The high spatial resolution multi-scale daily SPI raster dataset over China from 1979 to 2018

description: The daily SPI raster datasets of high spatial resolution in different timescales over China from 1979 to 2018 were developed based on the China Meteorological Forcing Dataset. It has a spatial resolution of 0.1° × 0.1°, a temporal resolution of 1-day, and the timescales of 30-, 90-, and 360-day. All data are in NetCDF format.
DOI: 10.25345/c5rb6w24n
title: MassIVE Reanalysis RMSV000000354.1484 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of Bioplex AP-MS Dataset for Library Construction, NEUROG3 [launched by fce971e5ede541cca3fc5307a73294d8]
title: Center for Computational Mass Spectrometry (CCMS) systematic reanalysis of public proteomics mass spectrometry (MS) datasets provides a public, large-scale and comparable set of dataset reanalyses results including detailed provenance records. To further facilitate the broad reusability of public proteomics MS data, these reanalyses were also used to build the MassIVE Knowledge Base (MassIVE-KB) spectral library, a community-wide resource derived from hundreds of millions of identified spectra from tens of terabytes of mass spectrometry data.
DOI: 10.6084/m9.figshare.19204131
title: Additional file 1 of Using amino acids co-occurrence matrices and explainability model to investigate patterns in dengue virus proteins

description: Additional file 1. C protein: A list of sequences belonging to Dengue virus protein C in csvformat. Each row is a sample of the amino acid chain labeledaccording to dengue severity.
DOI: 10.6084/m9.figshare.19204128
title: Additional file 10 of Using amino acids co-occurrence matrices and explainability model to investigate patterns in dengue virus proteins

description: Additional file 10. NS5 protein: A list of sequences belonging to Dengue virus protein NS5 in csvformat. Each row is a sample of the amino acid chain labeledaccording to dengue severity.
DOI: 10.6084/m9.figshare.19204128.v1
title: Additional file 10 of Using amino acids co-occurrence matrices and explainability model to investigate patterns in dengue virus proteins

description: Additional file 10. NS5 protein: A list of sequences belonging to Dengue virus protein NS5 in csvformat. Each row is a sample of the amino acid chain labeledaccording to dengue severity.
DOI: 10.6084/m9.figshare.19204131.v1
title: Additional file 1 of Using amino acids co-occurrence matrices and explainability model to investigate patterns in dengue virus proteins

description: Additional file 1. C protein: A list of sequences belonging to Dengue virus protein C in csvformat. Each row is a sample of the amino acid chain labeledaccording to dengue severity.
DOI: 10.6084/m9.figshare.19204134.v1
title: Additional file 2 of Using amino acids co-occurrence matrices and explainability model to investigate patterns in dengue virus proteins

description: Additional file 2. M protein: A list of sequences belonging to Dengue virus protein M in csvformat. Each row is a sample of the amino acid chain labeledaccording to dengue severity.
DOI: 10.6084/m9.figshare.19204134
title: Additional file 2 of Using amino acids co-occurrence matrices and explainability model to investigate patterns in dengue virus proteins

description: Additional file 2. M protein: A list of sequences belonging to Dengue virus protein M in csvformat. Each row is a sample of the amino acid chain labeledaccording to dengue severity.
DOI: 10.6084/m9.figshare.19204137
title: Additional file 3 of Using amino acids co-occurrence matrices and explainability model to investigate patterns in dengue virus proteins

description: Additional file 3. E protein: A list of sequences belonging to Dengue virus protein E in csvformat. Each row is a sample of the amino acid chain labeledaccording to dengue severity.
DOI: 10.6084/m9.figshare.19204137.v1
title: Additional file 3 of Using amino acids co-occurrence matrices and explainability model to investigate patterns in dengue virus proteins

description: Additional file 3. E protein: A list of sequences belonging to Dengue virus protein E in csvformat. Each row is a sample of the amino acid chain labeledaccording to dengue severity.
DOI: 10.6084/m9.figshare.19204140
title: Additional file 4 of Using amino acids co-occurrence matrices and explainability model to investigate patterns in dengue virus proteins

description: Additional file 4. NS1 protein: A list of sequences belonging to Dengue virus protein NS1 in csvformat. Each row is a sample of the amino acid chain labeledaccording to dengue severity.
DOI: 10.6084/m9.figshare.19204140.v1
title: Additional file 4 of Using amino acids co-occurrence matrices and explainability model to investigate patterns in dengue virus proteins

description: Additional file 4. NS1 protein: A list of sequences belonging to Dengue virus protein NS1 in csvformat. Each row is a sample of the amino acid chain labeledaccording to dengue severity.
DOI: 10.6084/m9.figshare.19204143.v1
title: Additional file 5 of Using amino acids co-occurrence matrices and explainability model to investigate patterns in dengue virus proteins

description: Additional file 5. NS2A protein: A list of sequences belonging to Dengue virus protein NS2A in csvformat. Each row is a sample of the amino acid chain labeledaccording to dengue severity.
DOI: 10.6084/m9.figshare.19204143
title: Additional file 5 of Using amino acids co-occurrence matrices and explainability model to investigate patterns in dengue virus proteins

description: Additional file 5. NS2A protein: A list of sequences belonging to Dengue virus protein NS2A in csvformat. Each row is a sample of the amino acid chain labeledaccording to dengue severity.
DOI: 10.6084/m9.figshare.19204146
title: Additional file 6 of Using amino acids co-occurrence matrices and explainability model to investigate patterns in dengue virus proteins

description: Additional file 6. NS2B protein: A list of sequences belonging to Dengue virus protein NS2B in csvformat. Each row is a sample of the amino acid chain labeledaccording to dengue severity.
DOI: 10.6084/m9.figshare.19204146.v1
title: Additional file 6 of Using amino acids co-occurrence matrices and explainability model to investigate patterns in dengue virus proteins

description: Additional file 6. NS2B protein: A list of sequences belonging to Dengue virus protein NS2B in csvformat. Each row is a sample of the amino acid chain labeledaccording to dengue severity.
DOI: 10.6084/m9.figshare.19204149
title: Additional file 7 of Using amino acids co-occurrence matrices and explainability model to investigate patterns in dengue virus proteins

description: Additional file 7. NS3 protein: A list of sequences belonging to Dengue virus protein NS3 in csvformat. Each row is a sample of the amino acid chain labeledaccording to dengue severity
DOI: 10.6084/m9.figshare.19204149.v1
title: Additional file 7 of Using amino acids co-occurrence matrices and explainability model to investigate patterns in dengue virus proteins

description: Additional file 7. NS3 protein: A list of sequences belonging to Dengue virus protein NS3 in csvformat. Each row is a sample of the amino acid chain labeledaccording to dengue severity
DOI: 10.6084/m9.figshare.19204152.v1
title: Additional file 8 of Using amino acids co-occurrence matrices and explainability model to investigate patterns in dengue virus proteins

description: Additional file 8. NS4A protein:A list of sequences belonging to Dengue virus protein NS4A in csvformat. Each row is a sample of the amino acid chain labeledaccording to dengue severity.
DOI: 10.6084/m9.figshare.19204152
title: Additional file 8 of Using amino acids co-occurrence matrices and explainability model to investigate patterns in dengue virus proteins

description: Additional file 8. NS4A protein:A list of sequences belonging to Dengue virus protein NS4A in csvformat. Each row is a sample of the amino acid chain labeledaccording to dengue severity.
DOI: 10.6084/m9.figshare.19204155.v1
title: Additional file 9 of Using amino acids co-occurrence matrices and explainability model to investigate patterns in dengue virus proteins

description: Additional file 9. NS4B protein: A list of sequences belonging to Dengue virus protein NS4B in csvformat. Each row is a sample of the amino acid chain labeledaccording to dengue severity.
DOI: 10.6084/m9.figshare.19204155
title: Additional file 9 of Using amino acids co-occurrence matrices and explainability model to investigate patterns in dengue virus proteins

description: Additional file 9. NS4B protein: A list of sequences belonging to Dengue virus protein NS4B in csvformat. Each row is a sample of the amino acid chain labeledaccording to dengue severity.
DOI: 10.6084/m9.figshare.19204166
title: Additional file 1 of GWAS and genomic prediction of milk urea nitrogen in Australian and New Zealand dairy cattle

description: Additional file 1: Table S1. Genomic relationships using HD and SEQ variants. Average genomic relationships within (diagonal) and between populations (below the diagonal) of genomic relationship matrices constructed using high-density (HD) or selected sequence (SEQ) variants; AUS = Australia, NZL = New Zealand.
DOI: 10.6084/m9.figshare.19204166.v1
title: Additional file 1 of GWAS and genomic prediction of milk urea nitrogen in Australian and New Zealand dairy cattle

description: Additional file 1: Table S1. Genomic relationships using HD and SEQ variants. Average genomic relationships within (diagonal) and between populations (below the diagonal) of genomic relationship matrices constructed using high-density (HD) or selected sequence (SEQ) variants; AUS = Australia, NZL = New Zealand.
DOI: 10.6084/m9.figshare.19204169
title: Additional file 2 of GWAS and genomic prediction of milk urea nitrogen in Australian and New Zealand dairy cattle

description: Additional file 2: Table S2. Genes located within QTL regions. chr = chromosome, start and end = start and end of QTL region in base pair (bp) on the ARS-UCD1.2 annotation, genes = list of genes located within QTL region.
DOI: 10.6084/m9.figshare.19204169.v1
title: Additional file 2 of GWAS and genomic prediction of milk urea nitrogen in Australian and New Zealand dairy cattle

description: Additional file 2: Table S2. Genes located within QTL regions. chr = chromosome, start and end = start and end of QTL region in base pair (bp) on the ARS-UCD1.2 annotation, genes = list of genes located within QTL region.
DOI: 10.6084/m9.figshare.19204175
title: Additional file 4 of GWAS and genomic prediction of milk urea nitrogen in Australian and New Zealand dairy cattle

description: Additional file 4: Table S3. Composition of the animals in the core set. Number of animals of each population included in the core set.
DOI: 10.6084/m9.figshare.19204175.v1
title: Additional file 4 of GWAS and genomic prediction of milk urea nitrogen in Australian and New Zealand dairy cattle

description: Additional file 4: Table S3. Composition of the animals in the core set. Number of animals of each population included in the core set.
DOI: 10.6084/m9.figshare.19204178
title: Additional file 5 of GWAS and genomic prediction of milk urea nitrogen in Australian and New Zealand dairy cattle

description: Additional file 5: Table S4. Genomic prediction accuracies for each of the five folds. validation = validation population, reference = reference validation, fold1-5 = prediction accuracy in fold 1–5, AUS_HOL = Australian Holstein, AUS_JER = Australian Jersey, NZL_HOL = New Zealand Holstein, NZL_JER = New Zealand Jersey, WC = within country reference population, MC = multi country reference population, HD = variants on the Illumina Bovine HD BeadChip, SEQ = selected sequence variants.
DOI: 10.6084/m9.figshare.19204178.v1
title: Additional file 5 of GWAS and genomic prediction of milk urea nitrogen in Australian and New Zealand dairy cattle

description: Additional file 5: Table S4. Genomic prediction accuracies for each of the five folds. validation = validation population, reference = reference validation, fold1-5 = prediction accuracy in fold 1–5, AUS_HOL = Australian Holstein, AUS_JER = Australian Jersey, NZL_HOL = New Zealand Holstein, NZL_JER = New Zealand Jersey, WC = within country reference population, MC = multi country reference population, HD = variants on the Illumina Bovine HD BeadChip, SEQ = selected sequence variants.
DOI: 10.6084/m9.figshare.19204184
title: Additional file 1 of Castration-resistant prostate cancer patient presenting with whole genome doubling with CDK-12 mutation

description: Additional file 1: Table S1. Detailed information about gene alterations in COSMIC Cancer Gene Census Tier1 or Tier2 (728 genes).
DOI: 10.6084/m9.figshare.19204184.v1
title: Additional file 1 of Castration-resistant prostate cancer patient presenting with whole genome doubling with CDK-12 mutation

description: Additional file 1: Table S1. Detailed information about gene alterations in COSMIC Cancer Gene Census Tier1 or Tier2 (728 genes).
DOI: 10.25345/c5mk6580w
title: MassIVE Reanalysis RMSV000000354.1485 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of Bioplex AP-MS Dataset for Library Construction, CCDC101 [launched by fce971e5ede541cca3fc5307a73294d8]
title: Center for Computational Mass Spectrometry (CCMS) systematic reanalysis of public proteomics mass spectrometry (MS) datasets provides a public, large-scale and comparable set of dataset reanalyses results including detailed provenance records. To further facilitate the broad reusability of public proteomics MS data, these reanalyses were also used to build the MassIVE Knowledge Base (MassIVE-KB) spectral library, a community-wide resource derived from hundreds of millions of identified spectra from tens of terabytes of mass spectrometry data.
DOI: 10.6084/m9.figshare.19114250
title: The high spatial resolution multi-scale monthly SPI and SPEI raster dataset over China from 1979 to 2018

description: The traditional monthly SPI/SPEI fitting by various probability distributions (Gamma, Gumbel, Logistic, Log-Logistic, and Normal for SPI and Log-Logistic, Generalized extreme value, Normal, and Pearson type III for SPEI) in 3-month scale with a spatial resolution of 0.1° × 0.1° developed based on the China Meteorological Forcing dataset. All data are in NetCDF format.
DOI: 10.6084/m9.figshare.19114250.v3
title: The high spatial resolution multi-scale monthly SPI and SPEI raster dataset over China from 1979 to 2018

description: The traditional monthly SPI/SPEI fitting by various probability distributions (Gamma, Gumbel, Logistic, Log-Logistic, and Normal for SPI and Log-Logistic, Generalized extreme value, Normal, and Pearson type III for SPEI) in 3-month scale with a spatial resolution of 0.1° × 0.1° developed based on the China Meteorological Forcing dataset. All data are in NetCDF format.
DOI: 10.6084/m9.figshare.19204239.v1
title: Additional file 3 of Estimating district HIV prevalence in Zambia using small-area estimation methods (SAE)

description: Additional file 3. Direct and modeled HIV estimates with confidence intervals.
DOI: 10.6084/m9.figshare.19204239
title: Additional file 3 of Estimating district HIV prevalence in Zambia using small-area estimation methods (SAE)

description: Additional file 3. Direct and modeled HIV estimates with confidence intervals.