cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.7916114.v1
title: MOESM6 of Ribosomal/nucleolar stress induction regulates tert-Butyl hydroperoxide (tBHP) mediated oxidative stress in Anopheles gambiae midguts

description: Additional file 6. Proteomic data on differential expression between low and high treatment groups.
DOI: 10.6084/m9.figshare.7916093
title: MOESM3 of Ribosomal/nucleolar stress induction regulates tert-Butyl hydroperoxide (tBHP) mediated oxidative stress in Anopheles gambiae midguts

description: Additional file 3. Protein identification and peptide information raw data.
DOI: 10.6084/m9.figshare.7916096
title: MOESM4 of Ribosomal/nucleolar stress induction regulates tert-Butyl hydroperoxide (tBHP) mediated oxidative stress in Anopheles gambiae midguts

description: Additional file 4. Proteomic data on differential expression between control and low treatment groups.
DOI: 10.6084/m9.figshare.7916096.v1
title: MOESM4 of Ribosomal/nucleolar stress induction regulates tert-Butyl hydroperoxide (tBHP) mediated oxidative stress in Anopheles gambiae midguts

description: Additional file 4. Proteomic data on differential expression between control and low treatment groups.
DOI: 10.6084/m9.figshare.7916090
title: Additional file 4: of Topconfects: a package for confident effect sizes in differential expression analysis provides a more biologically useful ranked gene list

description: Confect ranking of breast cancer dataset with 10 patients. Confect ranking using data only from 10 randomly selected patients. (CSV 1053 kb)
DOI: 10.6084/m9.figshare.7916093.v1
title: MOESM3 of Ribosomal/nucleolar stress induction regulates tert-Butyl hydroperoxide (tBHP) mediated oxidative stress in Anopheles gambiae midguts

description: Additional file 3. Protein identification and peptide information raw data.
DOI: 10.6084/m9.figshare.7916081
title: Additional file 3: of Topconfects: a package for confident effect sizes in differential expression analysis provides a more biologically useful ranked gene list

description: Complete p value-based ranking of breast cancer dataset. p value ranking of the breast cancer dataset. (CSV 1355 kb)
DOI: 10.6084/m9.figshare.7916087
title: MOESM2 of Ribosomal/nucleolar stress induction regulates tert-Butyl hydroperoxide (tBHP) mediated oxidative stress in Anopheles gambiae midguts

description: Additional file 2. Quantitative immunoblot data analysis.
DOI: 10.6084/m9.figshare.7916090.v1
title: Additional file 4: of Topconfects: a package for confident effect sizes in differential expression analysis provides a more biologically useful ranked gene list

description: Confect ranking of breast cancer dataset with 10 patients. Confect ranking using data only from 10 randomly selected patients. (CSV 1053 kb)
DOI: 10.6084/m9.figshare.7916081.v1
title: Additional file 3: of Topconfects: a package for confident effect sizes in differential expression analysis provides a more biologically useful ranked gene list

description: Complete p value-based ranking of breast cancer dataset. p value ranking of the breast cancer dataset. (CSV 1355 kb)
DOI: 10.6084/m9.figshare.7916087.v1
title: MOESM2 of Ribosomal/nucleolar stress induction regulates tert-Butyl hydroperoxide (tBHP) mediated oxidative stress in Anopheles gambiae midguts

description: Additional file 2. Quantitative immunoblot data analysis.
DOI: 10.6084/m9.figshare.7916072
title: Additional file 2: of Topconfects: a package for confident effect sizes in differential expression analysis provides a more biologically useful ranked gene list

description: Complete confect ranking of breast cancer dataset. Confect ranking of breast cancer dataset at 5% FDR. (CSV 1085 kb)
DOI: 10.6084/m9.figshare.7916072.v1
title: Additional file 2: of Topconfects: a package for confident effect sizes in differential expression analysis provides a more biologically useful ranked gene list

description: Complete confect ranking of breast cancer dataset. Confect ranking of breast cancer dataset at 5% FDR. (CSV 1085 kb)
DOI: 10.6084/m9.figshare.7916039
title: Additional file 2 of Evaluation of the mortality registry in Ecuador (2001–2013) – social and geographical inequalities in completeness and quality

description: : Table S1. List of ICD-10 codes considered garbage codes by type. Table S2. Causes of death considered impossible in some age – sex combinations. Table S3. Distribution of garbage code percentages (2001–2013) by age groups. Table S4. Distribution of causes of death considered impossible in some age – sex combinations (2001–2013) by age groups. Table S5. Completeness estimates using Adair and López (2018) method - 2010 (XLSX 27 kb)
DOI: 10.6084/m9.figshare.7916036
title: Additional file 6 of Modelling the potential of genetic control of malaria mosquitoes at national scale

description: Figure S6 Model parameters. (PDF 2 kb)
DOI: 10.6084/m9.figshare.7916036.v1
title: Additional file 6 of Modelling the potential of genetic control of malaria mosquitoes at national scale

description: Figure S6 Model parameters. (PDF 2 kb)
DOI: 10.6084/m9.figshare.7916039.v1
title: Additional file 2 of Evaluation of the mortality registry in Ecuador (2001–2013) – social and geographical inequalities in completeness and quality

description: : Table S1. List of ICD-10 codes considered garbage codes by type. Table S2. Causes of death considered impossible in some age – sex combinations. Table S3. Distribution of garbage code percentages (2001–2013) by age groups. Table S4. Distribution of causes of death considered impossible in some age – sex combinations (2001–2013) by age groups. Table S5. Completeness estimates using Adair and López (2018) method - 2010 (XLSX 27 kb)
DOI: 10.6084/m9.figshare.7915880
title: Additional file 5: of Argon plasma surface modification promotes the therapeutic angiogenesis and tissue formation of tissue-engineered scaffolds in vivo by adipose-derived stem cells

description: Figure S3. Haematological and biochemistry blood test analysis of the animals over the 12â weeks following implantation of the different scaffolds. [A] Assessment of haematological function. [B] Assessment of liver function. [C] Assessment of renal function. Note no change in haematological, liver function or renal function following implantation of the scaffolds. PU unmodified scaffolds, PRP platelet-rich plasma-modified scaffolds, PM argon-modified scaffold, PRP+PM platelet-rich plasma and argon modification. (ZIP 84 kb)
DOI: 10.6084/m9.figshare.7915880.v1
title: Additional file 5: of Argon plasma surface modification promotes the therapeutic angiogenesis and tissue formation of tissue-engineered scaffolds in vivo by adipose-derived stem cells

description: Figure S3. Haematological and biochemistry blood test analysis of the animals over the 12â weeks following implantation of the different scaffolds. [A] Assessment of haematological function. [B] Assessment of liver function. [C] Assessment of renal function. Note no change in haematological, liver function or renal function following implantation of the scaffolds. PU unmodified scaffolds, PRP platelet-rich plasma-modified scaffolds, PM argon-modified scaffold, PRP+PM platelet-rich plasma and argon modification. (ZIP 84 kb)
DOI: 10.6084/m9.figshare.7915853
title: MOESM1 of Proteomic alterations of HDL in youth with type 1 diabetes and their associations with glycemic control: a caseâ control study

description: Additional file 1: Table S1 Table of ion transitions usedÂ for proteomics analysis.
DOI: 10.6084/m9.figshare.7915859
title: MOESM2 of Proteomic alterations of HDL in youth with type 1 diabetes and their associations with glycemic control: a caseâ control study

description: Additional file 1: Table S2 Raw ion intensity data from proteomics analysis.
DOI: 10.6084/m9.figshare.7915859.v1
title: MOESM2 of Proteomic alterations of HDL in youth with type 1 diabetes and their associations with glycemic control: a caseâ control study

description: Additional file 1: Table S2 Raw ion intensity data from proteomics analysis.
DOI: 10.6084/m9.figshare.7915853.v1
title: MOESM1 of Proteomic alterations of HDL in youth with type 1 diabetes and their associations with glycemic control: a caseâ control study

description: Additional file 1: Table S1 Table of ion transitions usedÂ for proteomics analysis.
DOI: 10.6084/m9.figshare.7915751
title: MOESM9 of Molecular epidemiology of residual Plasmodium vivax transmission in a paediatric cohort in Solomon Islands

description: Additional file 9: Table S4. Univariate analysis of risk factors associated with (A) Plasmodium vivax infection, (B) new P. vivax infection and (C) P. vivax density by qPCR detection.
DOI: 10.6084/m9.figshare.7915739
title: Additional file 7: of Case-control Indian buffet process identifies biomarkers of response to Codrituzumab

description: Biomarkers significant for feature F3 when only considering patients with high exposure and placebo. (XLSX 6 kb)
DOI: 10.6084/m9.figshare.7915742
title: MOESM8 of Molecular epidemiology of residual Plasmodium vivax transmission in a paediatric cohort in Solomon Islands

description: Additional file 8: Table S5. (i) Association between selected risk factors and Plasmodium vivax infection density by qPCR detection of the 256 participants with at least 1 P. vivax infection during cohort and household spraying data. (ii) Detailed estimates for village and visit interval effects for (A) Plasmodium vivax infection prevalence, (B) new P. vivax infection, and (C) P. vivax infection density by qPCR detection.
DOI: 10.6084/m9.figshare.7915739.v1
title: Additional file 7: of Case-control Indian buffet process identifies biomarkers of response to Codrituzumab

description: Biomarkers significant for feature F3 when only considering patients with high exposure and placebo. (XLSX 6 kb)
DOI: 10.6084/m9.figshare.7915742.v1
title: MOESM8 of Molecular epidemiology of residual Plasmodium vivax transmission in a paediatric cohort in Solomon Islands

description: Additional file 8: Table S5. (i) Association between selected risk factors and Plasmodium vivax infection density by qPCR detection of the 256 participants with at least 1 P. vivax infection during cohort and household spraying data. (ii) Detailed estimates for village and visit interval effects for (A) Plasmodium vivax infection prevalence, (B) new P. vivax infection, and (C) P. vivax infection density by qPCR detection.
DOI: 10.6084/m9.figshare.7915751.v1
title: MOESM9 of Molecular epidemiology of residual Plasmodium vivax transmission in a paediatric cohort in Solomon Islands

description: Additional file 9: Table S4. Univariate analysis of risk factors associated with (A) Plasmodium vivax infection, (B) new P. vivax infection and (C) P. vivax density by qPCR detection.
DOI: 10.6084/m9.figshare.7915733
title: Additional file 6: of Case-control Indian buffet process identifies biomarkers of response to Codrituzumab

description: Biomarkers significant for feature F2 when only considering patients with high exposure and placebo. (XLSX 6 kb)
DOI: 10.6084/m9.figshare.7915724
title: Additional file 5: of Case-control Indian buffet process identifies biomarkers of response to Codrituzumab

description: Biomarkers significant for feature F1 when only considering patients with high exposure and placebo. (XLSX 6 kb)
DOI: 10.6084/m9.figshare.7915733.v1
title: Additional file 6: of Case-control Indian buffet process identifies biomarkers of response to Codrituzumab

description: Biomarkers significant for feature F2 when only considering patients with high exposure and placebo. (XLSX 6 kb)
DOI: 10.6084/m9.figshare.7915724.v1
title: Additional file 5: of Case-control Indian buffet process identifies biomarkers of response to Codrituzumab

description: Biomarkers significant for feature F1 when only considering patients with high exposure and placebo. (XLSX 6 kb)
DOI: 10.6084/m9.figshare.7915712
title: MOESM4 of Molecular epidemiology of residual Plasmodium vivax transmission in a paediatric cohort in Solomon Islands

description: Additional file 4: Table S3. Detailed demographic characteristics of 860 children included in the cohort study.
DOI: 10.6084/m9.figshare.7915709
title: Additional file 3: of Case-control Indian buffet process identifies biomarkers of response to Codrituzumab

description: Biomarker and clinical endpoint data. (CSV 51 kb)
DOI: 10.6084/m9.figshare.7915712.v1
title: MOESM4 of Molecular epidemiology of residual Plasmodium vivax transmission in a paediatric cohort in Solomon Islands

description: Additional file 4: Table S3. Detailed demographic characteristics of 860 children included in the cohort study.
DOI: 10.6084/m9.figshare.7915697
title: MOESM2 of Molecular epidemiology of residual Plasmodium vivax transmission in a paediatric cohort in Solomon Islands

description: Additional file 2: Table S1. Characteristics of children that met inclusion criteria vs excluded children.
DOI: 10.6084/m9.figshare.7915700
title: Additional file 2: of Case-control Indian buffet process identifies biomarkers of response to Codrituzumab

description: List of biomarkers in this study and abbreviations. (XLSX 7 kb)
DOI: 10.6084/m9.figshare.7915703
title: MOESM3 of Molecular epidemiology of residual Plasmodium vivax transmission in a paediatric cohort in Solomon Islands

description: Additional file 3: Table S2. Retention of cohort participants and malaria prevalence during active case detection.
DOI: 10.6084/m9.figshare.7915700.v1
title: Additional file 2: of Case-control Indian buffet process identifies biomarkers of response to Codrituzumab

description: List of biomarkers in this study and abbreviations. (XLSX 7 kb)
DOI: 10.6084/m9.figshare.7915703.v1
title: MOESM3 of Molecular epidemiology of residual Plasmodium vivax transmission in a paediatric cohort in Solomon Islands

description: Additional file 3: Table S2. Retention of cohort participants and malaria prevalence during active case detection.
DOI: 10.6084/m9.figshare.7915709.v1
title: Additional file 3: of Case-control Indian buffet process identifies biomarkers of response to Codrituzumab

description: Biomarker and clinical endpoint data. (CSV 51 kb)
DOI: 10.6084/m9.figshare.7915697.v1
title: MOESM2 of Molecular epidemiology of residual Plasmodium vivax transmission in a paediatric cohort in Solomon Islands

description: Additional file 2: Table S1. Characteristics of children that met inclusion criteria vs excluded children.
DOI: 10.6084/m9.figshare.7915682
title: MOESM11 of Molecular epidemiology of residual Plasmodium vivax transmission in a paediatric cohort in Solomon Islands

description: Additional file 11: Table S6. Risk factors for incidence of clinical episodes: (A) Confirm malaria, presumptive malaria and potential malaria, (B) Confirm malaria.
DOI: 10.6084/m9.figshare.7915682.v1
title: MOESM11 of Molecular epidemiology of residual Plasmodium vivax transmission in a paediatric cohort in Solomon Islands

description: Additional file 11: Table S6. Risk factors for incidence of clinical episodes: (A) Confirm malaria, presumptive malaria and potential malaria, (B) Confirm malaria.
DOI: 10.6084/m9.figshare.7915568
title: Additional file 4: of Immune-enrichment of non-small cell lung cancer baseline biopsies for multiplex profiling define prognostic immune checkpoint combinations for patient stratification

description: Interactive NAViGaTOR .n3e file of ICP-interactors and pathways. (N3E 958 kb)
DOI: 10.6084/m9.figshare.7915562
title: Additional file 3: of Immune-enrichment of non-small cell lung cancer baseline biopsies for multiplex profiling define prognostic immune checkpoint combinations for patient stratification

description: Refined ICP-interactor annotations on pathways profiles. (XLSX 5574 kb)
DOI: 10.6084/m9.figshare.7915568.v1
title: Additional file 4: of Immune-enrichment of non-small cell lung cancer baseline biopsies for multiplex profiling define prognostic immune checkpoint combinations for patient stratification

description: Interactive NAViGaTOR .n3e file of ICP-interactors and pathways. (N3E 958 kb)
DOI: 10.6084/m9.figshare.7915556
title: Additional file 4: of Spatiotemporal characteristics and primary influencing factors of typical dengue fever epidemics in China

description: Statistical characteristics of variables and GAM fitting results. (XLSX 14 kb)
DOI: 10.6084/m9.figshare.7915553
title: Additional file 2: of Immune-enrichment of non-small cell lung cancer baseline biopsies for multiplex profiling define prognostic immune checkpoint combinations for patient stratification

description: ICP and annotations on pathways profiles. (XLSX 146 kb)
DOI: 10.6084/m9.figshare.7915556.v1
title: Additional file 4: of Spatiotemporal characteristics and primary influencing factors of typical dengue fever epidemics in China

description: Statistical characteristics of variables and GAM fitting results. (XLSX 14 kb)
DOI: 10.6084/m9.figshare.7915562.v1
title: Additional file 3: of Immune-enrichment of non-small cell lung cancer baseline biopsies for multiplex profiling define prognostic immune checkpoint combinations for patient stratification

description: Refined ICP-interactor annotations on pathways profiles. (XLSX 5574 kb)
DOI: 10.6084/m9.figshare.7915544
title: Additional file 1: of Immune-enrichment of non-small cell lung cancer baseline biopsies for multiplex profiling define prognostic immune checkpoint combinations for patient stratification

description: Figure S1. Methods, antibodies and validation that IIC-density does not correlate with patient clinicopathological characteristics. Figure S2. CD45 distribution on TMA cores and K-M plots of immune cells and Ki-67. Figure S3. Five-color panels demonstrate which ICP subsets preferentially label TIL. Figure S4. Effect of applied treatments on OS of TMA patient cohort. Figure S5. Validation of effect of ICP signature on additional NSCLC cohorts and cancers. Figure S6. MP-IF ICP combination panels stratifying NSCLC patients. Figure S7. Kaplan-Meier survival analysis of principle components positively associated with OS. Figure S8. ICP coexpression ranking demonstrates ICP subset. Figure S9. Timing of effects of ICP expression on Kaplan-Meier survival curves. Figure S10. Compressed view of refined ICP-interactors presented in Fig. 7. Figure S11. Word-cloud analysis of top ICP interactors and associated pathways. Table S1. Clinicopathologic characteristics of TMA cohort. Table S2. Correlations between clinicopathological characteristics of TMA cohort. Table S3. Antibodies used in the study. Table S4. Correlations of TMA ICP MFI with immunogenicity and clinical characteristics. Table S5. Correlations of TMA ICP counts with immunogenicity and clinical characteristics. Table S6. Primary validation of positive association of ICP expression with OS. Table S7. Secondary validation of positive association of ICP expression with OS. Table S8. ICP RNA expression in normal vs. cancer tissues. Table S9. Validation of increased positive association with OS by ICP-TIL combination. Table S10. Validation of effect of IIC expression on OS. Table S11. Chromosomal locations of profiled ICP. Table S12. Association of TMA ICP combinations from MP-IF panels with OS. Table S13. Figure 5a correlogram common ICP groupings. Table S14. Figure S7 PC1 and PC2 groups positively associated with OS. Table S15. ICP- interactors having effects on K-M and modulated in their expression. Table S16. ICP-ICP interactors from IID. Table S17. Positive T cell functions of selected NSCLC patient stratifying ICPs. (ZIP 10706 kb)
DOI: 10.6084/m9.figshare.7915553.v1
title: Additional file 2: of Immune-enrichment of non-small cell lung cancer baseline biopsies for multiplex profiling define prognostic immune checkpoint combinations for patient stratification

description: ICP and annotations on pathways profiles. (XLSX 146 kb)
DOI: 10.6084/m9.figshare.7915535
title: Additional file 1: of PyCellBase, an efficient python package for easy retrieval of biological data from heterogeneous sources

description: PyCellBase use case. Example of usage of the PyCellBase REST client library. (IPYNB 15 kb)
DOI: 10.6084/m9.figshare.7915544.v1
title: Additional file 1: of Immune-enrichment of non-small cell lung cancer baseline biopsies for multiplex profiling define prognostic immune checkpoint combinations for patient stratification

description: Figure S1. Methods, antibodies and validation that IIC-density does not correlate with patient clinicopathological characteristics. Figure S2. CD45 distribution on TMA cores and K-M plots of immune cells and Ki-67. Figure S3. Five-color panels demonstrate which ICP subsets preferentially label TIL. Figure S4. Effect of applied treatments on OS of TMA patient cohort. Figure S5. Validation of effect of ICP signature on additional NSCLC cohorts and cancers. Figure S6. MP-IF ICP combination panels stratifying NSCLC patients. Figure S7. Kaplan-Meier survival analysis of principle components positively associated with OS. Figure S8. ICP coexpression ranking demonstrates ICP subset. Figure S9. Timing of effects of ICP expression on Kaplan-Meier survival curves. Figure S10. Compressed view of refined ICP-interactors presented in Fig. 7. Figure S11. Word-cloud analysis of top ICP interactors and associated pathways. Table S1. Clinicopathologic characteristics of TMA cohort. Table S2. Correlations between clinicopathological characteristics of TMA cohort. Table S3. Antibodies used in the study. Table S4. Correlations of TMA ICP MFI with immunogenicity and clinical characteristics. Table S5. Correlations of TMA ICP counts with immunogenicity and clinical characteristics. Table S6. Primary validation of positive association of ICP expression with OS. Table S7. Secondary validation of positive association of ICP expression with OS. Table S8. ICP RNA expression in normal vs. cancer tissues. Table S9. Validation of increased positive association with OS by ICP-TIL combination. Table S10. Validation of effect of IIC expression on OS. Table S11. Chromosomal locations of profiled ICP. Table S12. Association of TMA ICP combinations from MP-IF panels with OS. Table S13. Figure 5a correlogram common ICP groupings. Table S14. Figure S7 PC1 and PC2 groups positively associated with OS. Table S15. ICP- interactors having effects on K-M and modulated in their expression. Table S16. ICP-ICP interactors from IID. Table S17. Positive T cell functions of selected NSCLC patient stratifying ICPs. (ZIP 10706 kb)
DOI: 10.6084/m9.figshare.7915526
title: Additional file 2: of Increased expression of cancer-associated fibroblast markers at the invasive front and its association with tumor-stroma ratio in colorectal cancer

description: Raw data and normalized data of the immunofluorescent quantification. (XLSX 70 kb)
DOI: 10.6084/m9.figshare.7915535.v1
title: Additional file 1: of PyCellBase, an efficient python package for easy retrieval of biological data from heterogeneous sources

description: PyCellBase use case. Example of usage of the PyCellBase REST client library. (IPYNB 15 kb)
DOI: 10.6084/m9.figshare.7915526.v1
title: Additional file 2: of Increased expression of cancer-associated fibroblast markers at the invasive front and its association with tumor-stroma ratio in colorectal cancer

description: Raw data and normalized data of the immunofluorescent quantification. (XLSX 70 kb)
DOI: 10.6084/m9.figshare.7915349
title: Additional file 9: of Transcriptome analysis reveals the activation of neuroendocrine-immune system in shrimp hemocytes at the early stage of WSSV infection

description: Detail information of 349 immune-related DEGs. (XLSX 48 kb)
DOI: 10.6084/m9.figshare.7915355
title: gVCF_NA19080

description: 1000 Genomes gVCF mapped to hs37d5 for NA19080. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7915355.v1
title: gVCF_NA19080

description: 1000 Genomes gVCF mapped to hs37d5 for NA19080. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7915349.v1
title: Additional file 9: of Transcriptome analysis reveals the activation of neuroendocrine-immune system in shrimp hemocytes at the early stage of WSSV infection

description: Detail information of 349 immune-related DEGs. (XLSX 48 kb)