cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.15047676.v1
title: Additional file 2 of An exploratory assessment of the applicability of direct-to-consumer genetic testing to translational research in Japan

description: Additional file 2: Full list of the number of associated SNP of GRIN2B for 447 phenotypes.
DOI: 10.6084/m9.figshare.15047680
title: Additional file 2 of Willingness to use a wearable device capable of detecting and reversing overdose among people who use opioids in Philadelphia

description: Additional file 2. Table 1. Individual-levelfactors affecting willingness to use a wearable device to sense and reverse opioid overdose.
DOI: 10.6084/m9.figshare.15047680.v1
title: Additional file 2 of Willingness to use a wearable device capable of detecting and reversing overdose among people who use opioids in Philadelphia

description: Additional file 2. Table 1. Individual-levelfactors affecting willingness to use a wearable device to sense and reverse opioid overdose.
DOI: 10.6084/m9.figshare.15047686
title: Additional file 3 of Willingness to use a wearable device capable of detecting and reversing overdose among people who use opioids in Philadelphia

description: Additional file 3. Table 2. Usability factors for a wearable device to sense and reverse opioid overdose.
DOI: 10.6084/m9.figshare.15047686.v1
title: Additional file 3 of Willingness to use a wearable device capable of detecting and reversing overdose among people who use opioids in Philadelphia

description: Additional file 3. Table 2. Usability factors for a wearable device to sense and reverse opioid overdose.
DOI: 10.6084/m9.figshare.15047718
title: Additional file 1 of Seven key hub genes identified by gene co-expression network in cutaneous squamous cell carcinoma

description: Additional file 1: Supplementary Table 1. Genes in the module 5 for cSCC in the GSE45216–98774 dataset. Supplementary Table 2. Genes in the module 23 for AK in the GSE45216–98774 dataset. Supplementary Table 3. Genes in the module 9 for normal sample in the GSE45216–98774 dataset. Supplementary Table 4. Genes in the module 5 for cSCC in the GSE108008 dataset. Supplementary Table 5. Genes in the module 10 for AK in the GSE108008 dataset. Supplementary Table 6. Genes in the module 7 for normal sample in the GSE108008 dataset. Supplementary Table 7. Overrepresented GO terms in the module 5 relevant for cSCC in the GSE45216–98774 dataset. Supplementary Table 8. KEGG functional enrichment of genes in the module 5 relevant for cSCC in the GSE45216–98774 dataset. Supplementary Table 9. KEGG functional enrichment of genes in the module 23 relevant for AK in the GSE45216–98774 dataset. Supplementary Table 10. Overrepresented GO terms in the module 9 relevant for normal tissue in the GSE45216–98774 dataset. Supplementary Table 11. KEGG functional enrichment of genes in the module 9 relevant for normal tissue in the GSE45216–98774 dataset. Supplementary Table 12. Overrepresented GO terms in the module 5 relevant for cSCC in the GSE108008 dataset. Supplementary Table 13. KEGG functional enrichment of genes in the module 5 relevant for cSCC in the GSE108008 dataset. Supplementary Table 14. Overrepresented GO terms in the module 10 relevant for AK in the GSE108008 dataset. Supplementary Table 15. KEGG functional enrichment of genes in the module 10 relevant for AK in the GSE108008 dataset. Supplementary Table 16. Overrepresented GO terms in the module 7 relevant for normal tissue in the GSE108008 dataset. Supplementary Table 17. KEGG functional enrichment of genes in the module 7 relevant for normal tissue in the GSE108008 dataset. Supplementary Table 18. Differentially expressed genes when cSCC compared with AK samples in dataset GSE45216–98774. Supplementary Table 19. Differentially expressed genes when AK compared with normal samples in dataset GSE45216–98774. Supplementary Table 20. Differentially expressed genes when cSCC compared with AK samples in dataset GSE108008. Supplementary Table 21. Differentially expressed genes when AK compared with normal samples in dataset GSE108008. Supplementary Table 22. Differential expression in 21 different TCGA cancer types. Supplementary Table 23. Association of hub gene expression with patient overall survival for different cancer types.
DOI: 10.6084/m9.figshare.15047718.v1
title: Additional file 1 of Seven key hub genes identified by gene co-expression network in cutaneous squamous cell carcinoma

description: Additional file 1: Supplementary Table 1. Genes in the module 5 for cSCC in the GSE45216–98774 dataset. Supplementary Table 2. Genes in the module 23 for AK in the GSE45216–98774 dataset. Supplementary Table 3. Genes in the module 9 for normal sample in the GSE45216–98774 dataset. Supplementary Table 4. Genes in the module 5 for cSCC in the GSE108008 dataset. Supplementary Table 5. Genes in the module 10 for AK in the GSE108008 dataset. Supplementary Table 6. Genes in the module 7 for normal sample in the GSE108008 dataset. Supplementary Table 7. Overrepresented GO terms in the module 5 relevant for cSCC in the GSE45216–98774 dataset. Supplementary Table 8. KEGG functional enrichment of genes in the module 5 relevant for cSCC in the GSE45216–98774 dataset. Supplementary Table 9. KEGG functional enrichment of genes in the module 23 relevant for AK in the GSE45216–98774 dataset. Supplementary Table 10. Overrepresented GO terms in the module 9 relevant for normal tissue in the GSE45216–98774 dataset. Supplementary Table 11. KEGG functional enrichment of genes in the module 9 relevant for normal tissue in the GSE45216–98774 dataset. Supplementary Table 12. Overrepresented GO terms in the module 5 relevant for cSCC in the GSE108008 dataset. Supplementary Table 13. KEGG functional enrichment of genes in the module 5 relevant for cSCC in the GSE108008 dataset. Supplementary Table 14. Overrepresented GO terms in the module 10 relevant for AK in the GSE108008 dataset. Supplementary Table 15. KEGG functional enrichment of genes in the module 10 relevant for AK in the GSE108008 dataset. Supplementary Table 16. Overrepresented GO terms in the module 7 relevant for normal tissue in the GSE108008 dataset. Supplementary Table 17. KEGG functional enrichment of genes in the module 7 relevant for normal tissue in the GSE108008 dataset. Supplementary Table 18. Differentially expressed genes when cSCC compared with AK samples in dataset GSE45216–98774. Supplementary Table 19. Differentially expressed genes when AK compared with normal samples in dataset GSE45216–98774. Supplementary Table 20. Differentially expressed genes when cSCC compared with AK samples in dataset GSE108008. Supplementary Table 21. Differentially expressed genes when AK compared with normal samples in dataset GSE108008. Supplementary Table 22. Differential expression in 21 different TCGA cancer types. Supplementary Table 23. Association of hub gene expression with patient overall survival for different cancer types.
DOI: 10.6084/m9.figshare.15047758
title: Additional file 11 of Long-range linkage disequilibrium in French beef cattle breeds

description: Additional file 11: Tables S13–S15. List of large haplotype blocks in the Charolaise (Table S13), Limousine (Table S14) and Blonde d’Aquitaine (Table S15) breeds.
DOI: 10.6084/m9.figshare.15047758.v1
title: Additional file 11 of Long-range linkage disequilibrium in French beef cattle breeds

description: Additional file 11: Tables S13–S15. List of large haplotype blocks in the Charolaise (Table S13), Limousine (Table S14) and Blonde d’Aquitaine (Table S15) breeds.
DOI: 10.6084/m9.figshare.15047761
title: Additional file 12 of Long-range linkage disequilibrium in French beef cattle breeds

description: Additional file 12: Tables S16–S18. List of LRLD events identified in the Limousine (Table S16), Charolaise (Table S17) and Blonde d’Aquitaine (Table S18) breeds. Each table show the r2 threshold, the pair of blocks number (LRLD number), breed, chromosome (chr), start position of block 1 (start_block1), end position of block 1 (stop_block1), start position of block 2 (start_block2), end position of block 2 (stop_block2) and distance between blocks.
DOI: 10.6084/m9.figshare.15047761.v1
title: Additional file 12 of Long-range linkage disequilibrium in French beef cattle breeds

description: Additional file 12: Tables S16–S18. List of LRLD events identified in the Limousine (Table S16), Charolaise (Table S17) and Blonde d’Aquitaine (Table S18) breeds. Each table show the r2 threshold, the pair of blocks number (LRLD number), breed, chromosome (chr), start position of block 1 (start_block1), end position of block 1 (stop_block1), start position of block 2 (start_block2), end position of block 2 (stop_block2) and distance between blocks.
DOI: 10.6084/m9.figshare.15047767
title: Additional file 13 of Long-range linkage disequilibrium in French beef cattle breeds

description: Additional file 13: Table S19. List of common LRLD events between two or all the three breeds.
DOI: 10.6084/m9.figshare.15047767.v1
title: Additional file 13 of Long-range linkage disequilibrium in French beef cattle breeds

description: Additional file 13: Table S19. List of common LRLD events between two or all the three breeds.
DOI: 10.6084/m9.figshare.15047773.v1
title: Additional file 15 of Long-range linkage disequilibrium in French beef cattle breeds

description: Additional file 15: Tables S20–S22. List of LRLD events with functional interactions in the Charolaise (Table S20), Limousine (Table S21) and Blonde d’Aquitaine (Table S22) breeds. STRINGdb shows the interacting proteins in each block in LRLD from the STRING database. Cattle QTL db shows the LRLD blocks with the same QTL name identified in the cattle QTL database.
DOI: 10.6084/m9.figshare.15047773
title: Additional file 15 of Long-range linkage disequilibrium in French beef cattle breeds

description: Additional file 15: Tables S20–S22. List of LRLD events with functional interactions in the Charolaise (Table S20), Limousine (Table S21) and Blonde d’Aquitaine (Table S22) breeds. STRINGdb shows the interacting proteins in each block in LRLD from the STRING database. Cattle QTL db shows the LRLD blocks with the same QTL name identified in the cattle QTL database.
DOI: 10.6084/m9.figshare.15047785
title: Additional file 4 of Long-range linkage disequilibrium in French beef cattle breeds

description: Additional file 4: Tables S4–S6. Mean linkage disequilibrium (r2) according to physical distance ranges in 500-kb windows in Charolaise (Table S4), Limousine (Table S5) and Blonde d’Aquitaine (Table S6).
DOI: 10.6084/m9.figshare.15047785.v1
title: Additional file 4 of Long-range linkage disequilibrium in French beef cattle breeds

description: Additional file 4: Tables S4–S6. Mean linkage disequilibrium (r2) according to physical distance ranges in 500-kb windows in Charolaise (Table S4), Limousine (Table S5) and Blonde d’Aquitaine (Table S6).
DOI: 10.6084/m9.figshare.15047788
title: Additional file 5 of Long-range linkage disequilibrium in French beef cattle breeds

description: Additional file 5: Tables S7–S9. Mean linkage disequilibrium (r2) on each autosome (1–29) in 500-kb windows. Number of SNP pairs per chromosome, mean r2, standard deviation (sd), percent of SNP pairs with LD superior to 0.2 (% r2 &gt; 0.2), and percent of SNP pairs with high LD (% r2 &gt; 0.8) in Charolaise (Table S7), Limousine (Table S8) and Blonde d’Aquitaine (Table S9).
DOI: 10.6084/m9.figshare.15047788.v1
title: Additional file 5 of Long-range linkage disequilibrium in French beef cattle breeds

description: Additional file 5: Tables S7–S9. Mean linkage disequilibrium (r2) on each autosome (1–29) in 500-kb windows. Number of SNP pairs per chromosome, mean r2, standard deviation (sd), percent of SNP pairs with LD superior to 0.2 (% r2 &gt; 0.2), and percent of SNP pairs with high LD (% r2 &gt; 0.8) in Charolaise (Table S7), Limousine (Table S8) and Blonde d’Aquitaine (Table S9).
DOI: 10.6084/m9.figshare.14946009
title: Traffic Condition Estimation and Data Quality Assessment for Signalized Road Networks using Massive Taxi Trajectories

description: Traffic Condition Estimation and Data Quality Assessment for Signalized Road Networks using Massive Taxi Trajectories
DOI: 10.6084/m9.figshare.14946009.v5
title: Traffic Condition Estimation and Data Quality Assessment for Signalized Road Networks using Massive Taxi Trajectories

description: Traffic Condition Estimation and Data Quality Assessment for Signalized Road Networks using Massive Taxi Trajectories
DOI: 10.6084/m9.figshare.15047809.v1
title: Additional file 1 of Integration of RNA-Seq and proteomics data identifies glioblastoma multiforme surfaceome signature

description: Additional file 1: Supplementary Table S1. Overall differentially expressed genes in TCGA GBM tissues vs. GTEx normal brain tissues. Supplementary Table S2. Significantly dysregulated cell surface genes in TCGA GBM tissues vs. GTEx normal brain tissues. Supplementary Table S3. GBM cell lines proteomics data from Bausch-Fluck et al. 2015. Supplementary Table S4. GBM tissue samples proteomics data from Polisetty et al. 2012. Supplementary Table S5. Protein-protein interaction network analysis of surfaceome.
DOI: 10.6084/m9.figshare.14946009.v4
title: Traffic Condition Estimation and Data Quality Assessment for Signalized Road Networks using Massive Taxi Trajectories

description: Traffic Condition Estimation and Data Quality Assessment for Signalized Road Networks using Massive Taxi Trajectories
DOI: 10.6084/m9.figshare.15047809
title: Additional file 1 of Integration of RNA-Seq and proteomics data identifies glioblastoma multiforme surfaceome signature

description: Additional file 1: Supplementary Table S1. Overall differentially expressed genes in TCGA GBM tissues vs. GTEx normal brain tissues. Supplementary Table S2. Significantly dysregulated cell surface genes in TCGA GBM tissues vs. GTEx normal brain tissues. Supplementary Table S3. GBM cell lines proteomics data from Bausch-Fluck et al. 2015. Supplementary Table S4. GBM tissue samples proteomics data from Polisetty et al. 2012. Supplementary Table S5. Protein-protein interaction network analysis of surfaceome.
DOI: 10.6084/m9.figshare.15047811
title: Additional file 3 of Transcriptomic profiling of high- and low-spiking regions reveals novel epileptogenic mechanisms in focal cortical dysplasia type II patients

description: Additional file 3. List of significantly altered genes analyzed by CuffDiff.
DOI: 10.6084/m9.figshare.15047811.v1
title: Additional file 3 of Transcriptomic profiling of high- and low-spiking regions reveals novel epileptogenic mechanisms in focal cortical dysplasia type II patients

description: Additional file 3. List of significantly altered genes analyzed by CuffDiff.
DOI: 10.6084/m9.figshare.15047814
title: Additional file 4 of Transcriptomic profiling of high- and low-spiking regions reveals novel epileptogenic mechanisms in focal cortical dysplasia type II patients

description: Additional file 4. List of significantly altered genes analyzed by DESeq 2.
DOI: 10.6084/m9.figshare.15047814.v1
title: Additional file 4 of Transcriptomic profiling of high- and low-spiking regions reveals novel epileptogenic mechanisms in focal cortical dysplasia type II patients

description: Additional file 4. List of significantly altered genes analyzed by DESeq 2.
DOI: 10.6084/m9.figshare.15047817
title: Additional file 5 of Transcriptomic profiling of high- and low-spiking regions reveals novel epileptogenic mechanisms in focal cortical dysplasia type II patients

description: Additional file 5. List of significantly altered genes analyzed by EdgeR.
DOI: 10.6084/m9.figshare.15047817.v1
title: Additional file 5 of Transcriptomic profiling of high- and low-spiking regions reveals novel epileptogenic mechanisms in focal cortical dysplasia type II patients

description: Additional file 5. List of significantly altered genes analyzed by EdgeR.
DOI: 10.6084/m9.figshare.15047820
title: Additional file 6 of Transcriptomic profiling of high- and low-spiking regions reveals novel epileptogenic mechanisms in focal cortical dysplasia type II patients

description: Additional file 6. List of common genes found significantly altered in all three softwares.
DOI: 10.6084/m9.figshare.15047820.v1
title: Additional file 6 of Transcriptomic profiling of high- and low-spiking regions reveals novel epileptogenic mechanisms in focal cortical dysplasia type II patients

description: Additional file 6. List of common genes found significantly altered in all three softwares.
DOI: 10.6084/m9.figshare.15047892.v1
title: Additional file 5 of “Molecular Anatomy”: a new multi-dimensional hierarchical scaffold analysis tool

description: Additional file 5: Table S4. List of parent–child relationships between the nine molecular frameworks of molecules listed in Table S2.
DOI: 10.6084/m9.figshare.15047889.v1
title: Additional file 4 of “Molecular Anatomy”: a new multi-dimensional hierarchical scaffold analysis tool

description: Additional file 4: Table S3. List of unique frameworks obtained from the molecules in Table S2.
DOI: 10.6084/m9.figshare.15047886.v1
title: Additional file 3 of “Molecular Anatomy”: a new multi-dimensional hierarchical scaffold analysis tool

description: Additional file 3: Table S2. Dataset of 816 COX-2 inhibitors reported in Table S1; each compound and the related nine molecular representations are encoded as canonical SMILES and InChIKey and are listed as single rows. From this list, Tables S3 and S4 are generated.
DOI: 10.6084/m9.figshare.15047883.v1
title: Additional file 2 of “Molecular Anatomy”: a new multi-dimensional hierarchical scaffold analysis tool

description: Additional file 2: Table S1. Dataset of 816 COX-2 inhibitors in preclinical development or in a higher phase, described according to the nine molecular representations of “Molecular Anatomy”. Each compound and the related nine molecular representations are encoded as canonical SMILES and InChIKey, respectively, and are listed in the same row.
DOI: 10.6084/m9.figshare.15047862.v1
title: Additional file 9 of AUY922 induces retinal toxicity through attenuating TRPM1

description: Additional file 9: Table S2. Differentially expressed proteins in AUY922-treated cells.
DOI: 10.6084/m9.figshare.15047859.v1
title: Additional file 8 of AUY922 induces retinal toxicity through attenuating TRPM1

description: Additional file 8: Table S1. Protein identification in 661 W cells treated with DMSO or AUY922.
DOI: 10.6084/m9.figshare.15047835.v1
title: Additional file 12 of AUY922 induces retinal toxicity through attenuating TRPM1

description: Additional file 12: Table S5. Genes differentially expressed in 661 W cells overexpressing 3xF-TRPM1 compared to empty vectors.
DOI: 10.6084/m9.figshare.15047832.v1
title: Additional file 11 of AUY922 induces retinal toxicity through attenuating TRPM1

description: Additional file 11: Table S4. Functional annotation of downregulated proteins in AUY922-treated cells.
DOI: 10.6084/m9.figshare.15047830.v1
title: Additional file 1 of A prospective observational study of community acquired pneumonia in Kenya: the role of viral pathogens

description: Additional file 1.
DOI: 10.6084/m9.figshare.15047829.v1
title: Additional file 10 of AUY922 induces retinal toxicity through attenuating TRPM1

description: Additional file 10: Table S3. Functional annotation of upregulated proteins in AUY922-treated cells.
DOI: 10.6084/m9.figshare.15047892
title: Additional file 5 of “Molecular Anatomy”: a new multi-dimensional hierarchical scaffold analysis tool

description: Additional file 5: Table S4. List of parent–child relationships between the nine molecular frameworks of molecules listed in Table S2.
DOI: 10.6084/m9.figshare.15047889
title: Additional file 4 of “Molecular Anatomy”: a new multi-dimensional hierarchical scaffold analysis tool

description: Additional file 4: Table S3. List of unique frameworks obtained from the molecules in Table S2.
DOI: 10.6084/m9.figshare.15047886
title: Additional file 3 of “Molecular Anatomy”: a new multi-dimensional hierarchical scaffold analysis tool

description: Additional file 3: Table S2. Dataset of 816 COX-2 inhibitors reported in Table S1; each compound and the related nine molecular representations are encoded as canonical SMILES and InChIKey and are listed as single rows. From this list, Tables S3 and S4 are generated.
DOI: 10.6084/m9.figshare.15047883
title: Additional file 2 of “Molecular Anatomy”: a new multi-dimensional hierarchical scaffold analysis tool

description: Additional file 2: Table S1. Dataset of 816 COX-2 inhibitors in preclinical development or in a higher phase, described according to the nine molecular representations of “Molecular Anatomy”. Each compound and the related nine molecular representations are encoded as canonical SMILES and InChIKey, respectively, and are listed in the same row.
DOI: 10.6084/m9.figshare.15047862
title: Additional file 9 of AUY922 induces retinal toxicity through attenuating TRPM1

description: Additional file 9: Table S2. Differentially expressed proteins in AUY922-treated cells.
DOI: 10.6084/m9.figshare.15047859
title: Additional file 8 of AUY922 induces retinal toxicity through attenuating TRPM1

description: Additional file 8: Table S1. Protein identification in 661 W cells treated with DMSO or AUY922.
DOI: 10.6084/m9.figshare.15047661
title: Additional file 1 of Altered splicing associated with the pathology of inflammatory bowel disease

description: Additional file 1: Table S1. PSI significant by tissue location
DOI: 10.6084/m9.figshare.15047661.v1
title: Additional file 1 of Altered splicing associated with the pathology of inflammatory bowel disease

description: Additional file 1: Table S1. PSI significant by tissue location
DOI: 10.6084/m9.figshare.15047938
title: Additional file 2 of Altered splicing associated with the pathology of inflammatory bowel disease

description: Additional file 2: Table S2. PSI significant in spliceopathy compared to ileum
DOI: 10.6084/m9.figshare.15047938.v1
title: Additional file 2 of Altered splicing associated with the pathology of inflammatory bowel disease

description: Additional file 2: Table S2. PSI significant in spliceopathy compared to ileum
DOI: 10.6084/m9.figshare.15047835
title: Additional file 12 of AUY922 induces retinal toxicity through attenuating TRPM1

description: Additional file 12: Table S5. Genes differentially expressed in 661 W cells overexpressing 3xF-TRPM1 compared to empty vectors.
DOI: 10.6084/m9.figshare.15047832
title: Additional file 11 of AUY922 induces retinal toxicity through attenuating TRPM1

description: Additional file 11: Table S4. Functional annotation of downregulated proteins in AUY922-treated cells.
DOI: 10.6084/m9.figshare.15047830
title: Additional file 1 of A prospective observational study of community acquired pneumonia in Kenya: the role of viral pathogens

description: Additional file 1.
DOI: 10.6084/m9.figshare.15047829
title: Additional file 10 of AUY922 induces retinal toxicity through attenuating TRPM1

description: Additional file 10: Table S3. Functional annotation of upregulated proteins in AUY922-treated cells.
DOI: 10.6084/m9.figshare.15047475
title: Additional file 3 of Mapping the molecular basis for growth related phenotypes in industrial producer CHO cell lines using differential proteomic analysis

description: Additional file 3. Differentially expressed proteins identified by LC-MS/MS analysis. Full list of differentially expressed proteins identified between high/low peak VCD and extended/normal VCD CDCLs at day 6 and 10 of culture (xls).
DOI: 10.5517/ccdc.csd.cc24t437
title: CCDC 1990358: Experimental Crystal Structure Determination

description: Related Article: Еlena А. Malinina, Svetlana E. Korolenko, Alexey S. Kubasov, Grigorii A. Buzanov, Alexey V. Golubev, Lyudmila V. Goeva, Nikolay P. Simonenko, Varvara V. Avdeeva, Nikolay T. Kuznetsov|2021|J.Solid State Chem.|302|122413|doi:10.1016/j.jssc.2021.122413