cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.13787385.v1
title: Additional file 2 of A systematic review and quality assessment of complementary and alternative medicine recommendations in insomnia clinical practice guidelines

description: Additional file 2: Supplementary File 2. Modified AGREE II Questions Used to Guide Scoring of CAM Sections of Each Guideline.
DOI: 10.6084/m9.figshare.13787505
title: Additional file 2 of Selective treatment pressure in colon cancer drives the molecular profile of resistant circulating tumor cell clones

description: Additional file 2: Table S1. List of DETs upregulated in CTC-MCC-41 vs all the other CTC lines. Table S2. List of DETs downregulated in CTC-MCC-41 vs all the other CTC lines. Table S3. List of DETs upregulated in all CTC-MCC-41.5 cell lines vs the CTC-MCC-41.4 cell line. Table S4. List of DETs upregulated in the [ABFG] subgroup vs the [CDE] subgroup of the CTC-MCC-41.5 cell lines. Table S5. List of DETs downregulated in the [ABFG] subgroup vs the [CDE] subgroup of the CTC-MCC-41.5 cell lines. Table S6. Primer sequences.
DOI: 10.6084/m9.figshare.13787505.v1
title: Additional file 2 of Selective treatment pressure in colon cancer drives the molecular profile of resistant circulating tumor cell clones

description: Additional file 2: Table S1. List of DETs upregulated in CTC-MCC-41 vs all the other CTC lines. Table S2. List of DETs downregulated in CTC-MCC-41 vs all the other CTC lines. Table S3. List of DETs upregulated in all CTC-MCC-41.5 cell lines vs the CTC-MCC-41.4 cell line. Table S4. List of DETs upregulated in the [ABFG] subgroup vs the [CDE] subgroup of the CTC-MCC-41.5 cell lines. Table S5. List of DETs downregulated in the [ABFG] subgroup vs the [CDE] subgroup of the CTC-MCC-41.5 cell lines. Table S6. Primer sequences.
DOI: 10.6084/m9.figshare.13787508
title: Additional file 3 of Selective treatment pressure in colon cancer drives the molecular profile of resistant circulating tumor cell clones

description: Additional file 3: Figure S1. Box-plots showing the expression level of a set of differentially expressed transcripts (DETs) in the CTC-MCC-41, CTC-MCC-41.4, and CTC-MCC-41.5 [ABFG] and [CDE] cell lines. Abbreviations: CTC-BT, CTC line derived before treatment initiation; CTC-AT, CTC lines derived after treatment initiation. Figure S2. RT-qPCR validation of the microarray data. Abbreviations: CTC-BT, CTC line derived before treatment initiation; CTC-AT, CTC lines derived after treatment initiation.
DOI: 10.6084/m9.figshare.13787508.v1
title: Additional file 3 of Selective treatment pressure in colon cancer drives the molecular profile of resistant circulating tumor cell clones

description: Additional file 3: Figure S1. Box-plots showing the expression level of a set of differentially expressed transcripts (DETs) in the CTC-MCC-41, CTC-MCC-41.4, and CTC-MCC-41.5 [ABFG] and [CDE] cell lines. Abbreviations: CTC-BT, CTC line derived before treatment initiation; CTC-AT, CTC lines derived after treatment initiation. Figure S2. RT-qPCR validation of the microarray data. Abbreviations: CTC-BT, CTC line derived before treatment initiation; CTC-AT, CTC lines derived after treatment initiation.
DOI: 10.6084/m9.figshare.13787643.v1
title: Additional file 1 of Multiple antimicrobial resistance and outcomes among hospitalized patients with complicated urinary tract infections in the US, 2013–2018: a retrospective cohort study

description: Additional file 1.
DOI: 10.6084/m9.figshare.13787643
title: Additional file 1 of Multiple antimicrobial resistance and outcomes among hospitalized patients with complicated urinary tract infections in the US, 2013–2018: a retrospective cohort study

description: Additional file 1.
DOI: 10.6084/m9.figshare.13787686.v1
title: Additional file 3 of Western Kenyan Anopheles gambiae showing intense permethrin resistance harbour distinct microbiota

description: Additional file 3. Taxonomic annotation and frequency of ASVs from permethrin resistant and sucseptible samples.
DOI: 10.6084/m9.figshare.13787689
title: Additional file 4 of Western Kenyan Anopheles gambiae showing intense permethrin resistance harbour distinct microbiota

description: Additional file 4. ANCOM statistical results.
DOI: 10.6084/m9.figshare.13787689.v1
title: Additional file 4 of Western Kenyan Anopheles gambiae showing intense permethrin resistance harbour distinct microbiota

description: Additional file 4. ANCOM statistical results.
DOI: 10.6084/m9.figshare.13787686
title: Additional file 3 of Western Kenyan Anopheles gambiae showing intense permethrin resistance harbour distinct microbiota

description: Additional file 3. Taxonomic annotation and frequency of ASVs from permethrin resistant and sucseptible samples.
DOI: 10.6084/m9.figshare.13787842
title: Additional file 2 of A brain cyst load-associated antigen is a Toxoplasma gondii biomarker for serodetection of persistent parasites and chronic infection

description: Additional file 2: Table S1. T. gondii strains, vectors and primers. List of T. gondii parasite lines as well as plasmids used in this work. Primers and DNA synthesis construct used in this work are also charted in the table.
DOI: 10.6084/m9.figshare.13787842.v1
title: Additional file 2 of A brain cyst load-associated antigen is a Toxoplasma gondii biomarker for serodetection of persistent parasites and chronic infection

description: Additional file 2: Table S1. T. gondii strains, vectors and primers. List of T. gondii parasite lines as well as plasmids used in this work. Primers and DNA synthesis construct used in this work are also charted in the table.
DOI: 10.6084/m9.figshare.13787860
title: Additional file 7 of A brain cyst load-associated antigen is a Toxoplasma gondii biomarker for serodetection of persistent parasites and chronic infection

description: Additional file 7: Table S2. Table of human sera from the biobank. The sera of patients with toxoplasmosis were classified in 5 sheets corresponding to the following pathologies: 1- Toxo immunocompromised, 2- Asymptomatic serological reactivation, 3- Ocular toxoplasmosis, 4- Chronic toxoplasmosis past immunity and 5- seronegative. The serological status is indicated for each serum in an anonymized manner.
DOI: 10.6084/m9.figshare.13787860.v1
title: Additional file 7 of A brain cyst load-associated antigen is a Toxoplasma gondii biomarker for serodetection of persistent parasites and chronic infection

description: Additional file 7: Table S2. Table of human sera from the biobank. The sera of patients with toxoplasmosis were classified in 5 sheets corresponding to the following pathologies: 1- Toxo immunocompromised, 2- Asymptomatic serological reactivation, 3- Ocular toxoplasmosis, 4- Chronic toxoplasmosis past immunity and 5- seronegative. The serological status is indicated for each serum in an anonymized manner.
DOI: 10.6084/m9.figshare.13787884
title: Additional file 1 of Different solutions lead to similar life history traits across the great divides of the amniote tree of life

description: Additional file 1: Appendix S1. Amniote body sizes.
DOI: 10.6084/m9.figshare.13787884.v1
title: Additional file 1 of Different solutions lead to similar life history traits across the great divides of the amniote tree of life

description: Additional file 1: Appendix S1. Amniote body sizes.
DOI: 10.6084/m9.figshare.13787923.v1
title: Additional file 11 of Relationships of gut microbiota, short-chain fatty acids, inflammation, and the gut barrier in Parkinson’s disease

description: Additional file 11: Differentially abundant taxa for variables of interest. Table of differential expression analysis for sequence count data results for families and genera that had a multiple comparison corrected p
DOI: 10.6084/m9.figshare.13787929
title: Additional file 13 of Relationships of gut microbiota, short-chain fatty acids, inflammation, and the gut barrier in Parkinson’s disease

description: Additional file 13: Table summarizing all key results of this study.
DOI: 10.6084/m9.figshare.13787929.v1
title: Additional file 13 of Relationships of gut microbiota, short-chain fatty acids, inflammation, and the gut barrier in Parkinson’s disease

description: Additional file 13: Table summarizing all key results of this study.
DOI: 10.6084/m9.figshare.13787938
title: Additional file 3 of Relationships of gut microbiota, short-chain fatty acids, inflammation, and the gut barrier in Parkinson’s disease

description: Additional file 3: Inflammatory and permeability marker and SCFA concentrations. Table detailing A) levels of all analytes in this study by PD/control status and B) by both PD/control status and sex. P-values reflect Wilcoxon rank sum tests.
DOI: 10.6084/m9.figshare.13787938.v1
title: Additional file 3 of Relationships of gut microbiota, short-chain fatty acids, inflammation, and the gut barrier in Parkinson’s disease

description: Additional file 3: Inflammatory and permeability marker and SCFA concentrations. Table detailing A) levels of all analytes in this study by PD/control status and B) by both PD/control status and sex. P-values reflect Wilcoxon rank sum tests.
DOI: 10.6084/m9.figshare.13787923
title: Additional file 11 of Relationships of gut microbiota, short-chain fatty acids, inflammation, and the gut barrier in Parkinson’s disease

description: Additional file 11: Differentially abundant taxa for variables of interest. Table of differential expression analysis for sequence count data results for families and genera that had a multiple comparison corrected p
DOI: 10.6084/m9.figshare.13787950
title: Additional file 6 of Relationships of gut microbiota, short-chain fatty acids, inflammation, and the gut barrier in Parkinson’s disease

description: Additional file 6: Linear regression for alpha diversity, inflammatory and permeability markers/SCFAs, and PD/control status. A) Model: log(variable) ~ sex + PD/control + Diversity; B) Model: log(variable) ~ sex + PD/control * Diversity; C) Stool calprotectin and additional confounders derived from Fig. 3; D) Propionic acid and additional confounders derived from Fig. 3.
DOI: 10.6084/m9.figshare.13787950.v1
title: Additional file 6 of Relationships of gut microbiota, short-chain fatty acids, inflammation, and the gut barrier in Parkinson’s disease

description: Additional file 6: Linear regression for alpha diversity, inflammatory and permeability markers/SCFAs, and PD/control status. A) Model: log(variable) ~ sex + PD/control + Diversity; B) Model: log(variable) ~ sex + PD/control * Diversity; C) Stool calprotectin and additional confounders derived from Fig. 3; D) Propionic acid and additional confounders derived from Fig. 3.
DOI: 10.6084/m9.figshare.13787953
title: Additional file 7 of Relationships of gut microbiota, short-chain fatty acids, inflammation, and the gut barrier in Parkinson’s disease

description: Additional file 7: Associations of beta diversity with inflammatory and permeability markers/SCFAs and PD/control status. Permutational multivariate analysis of variance using distance matrices A) without interactions, B) with interaction (model: community dissimilarity ~ PD/control * variable).
DOI: 10.6084/m9.figshare.13787953.v1
title: Additional file 7 of Relationships of gut microbiota, short-chain fatty acids, inflammation, and the gut barrier in Parkinson’s disease

description: Additional file 7: Associations of beta diversity with inflammatory and permeability markers/SCFAs and PD/control status. Permutational multivariate analysis of variance using distance matrices A) without interactions, B) with interaction (model: community dissimilarity ~ PD/control * variable).
DOI: 10.6084/m9.figshare.13787959
title: Additional file 9 of Relationships of gut microbiota, short-chain fatty acids, inflammation, and the gut barrier in Parkinson’s disease

description: Additional file 9: Enterotype comparisons. A) Number of subjects classified to each enterotype in the control and PD groups; B) Comparison of inflammatory and permeability markers/SCFA levels between enterotypes. P-values reflect Kruskal-Wallis test and values corrected with Benjamini & Hochberg false discovery rate method.
DOI: 10.6084/m9.figshare.13787959.v1
title: Additional file 9 of Relationships of gut microbiota, short-chain fatty acids, inflammation, and the gut barrier in Parkinson’s disease

description: Additional file 9: Enterotype comparisons. A) Number of subjects classified to each enterotype in the control and PD groups; B) Comparison of inflammatory and permeability markers/SCFA levels between enterotypes. P-values reflect Kruskal-Wallis test and values corrected with Benjamini & Hochberg false discovery rate method.
DOI: 10.6084/m9.figshare.13788115.v1
title: Additional file 1 of Lack of redundancy between electrophysiological measures of long-range neuronal communication

description: Additional file 1: Contains four tables, Table S1-S4, that state the results of pairwise Spearman correlations between all metrics analysed in this study for a given connection. The first number in each cell states Spearman’s rho, the second number its p-value. Significant correlations are highlighted in green. See the ‘Info’ sheet of the file for further information, including n-numbers. Table S1. Correlations of connectivity metrics along the PFC-dHC connection, corresponding to main Figure 5a. Table S2. Correlations of connectivity metrics along the PFC-vHC connection, corresponding to main Figure 5b. Table S3. Correlations of connectivity metrics along the vHC-dHC connection, corresponding to main Figure 6a. Table S4. Average correlations of connectivity metrics along all three connections, corresponding to main Figure 6b. Each cell lists the average Spearman’s rho, followed by an indicator of a significant correlation in all three connections (0) or lack of it (1).
DOI: 10.6084/m9.figshare.13788115
title: Additional file 1 of Lack of redundancy between electrophysiological measures of long-range neuronal communication

description: Additional file 1: Contains four tables, Table S1-S4, that state the results of pairwise Spearman correlations between all metrics analysed in this study for a given connection. The first number in each cell states Spearman’s rho, the second number its p-value. Significant correlations are highlighted in green. See the ‘Info’ sheet of the file for further information, including n-numbers. Table S1. Correlations of connectivity metrics along the PFC-dHC connection, corresponding to main Figure 5a. Table S2. Correlations of connectivity metrics along the PFC-vHC connection, corresponding to main Figure 5b. Table S3. Correlations of connectivity metrics along the vHC-dHC connection, corresponding to main Figure 6a. Table S4. Average correlations of connectivity metrics along all three connections, corresponding to main Figure 6b. Each cell lists the average Spearman’s rho, followed by an indicator of a significant correlation in all three connections (0) or lack of it (1).
DOI: 10.6084/m9.figshare.13788133
title: Additional file 3 of A global, regional, and national survey on burden and Quality of Care Index (QCI) of hematologic malignancies; global burden of disease systematic analysis 1990–2017

description: Additional file 3: Table S3. Age-standardized and crude rates of primary indices (and 95% uncertainty intervals) by global, socio-demographic index quintile regions, WHO regions, and 195 countries or territories. Data are taken from GBD 2017. All primary indices including prevalence, incidence, deaths, YLLs, YLDs, and DALYs are illustrated for HL, NHL, MM, leukemia, and subtypes of leukemia in 1990 and 2017. Age-standardized rates are reported per 100,000 person-years. Abbreviations: ALL = acute lymphocytic leukemia. AML = acute myeloid leukemia. CLL = chronic lymphocytic leukemia. CML = chronic myeloid leukemia. DALYs = disability-Adjusted life-years. GBD = Global Burden of Disease. HL = Hodgkin lymphoma. MM = multiple myeloma. NHL = non-Hodgkin lymphoma. SDI = Socio-demographic Index. WHO = World Health Organization. YLDs = years lived with disability. YLLs = years of life lost.
DOI: 10.6084/m9.figshare.13788133.v1
title: Additional file 3 of A global, regional, and national survey on burden and Quality of Care Index (QCI) of hematologic malignancies; global burden of disease systematic analysis 1990–2017

description: Additional file 3: Table S3. Age-standardized and crude rates of primary indices (and 95% uncertainty intervals) by global, socio-demographic index quintile regions, WHO regions, and 195 countries or territories. Data are taken from GBD 2017. All primary indices including prevalence, incidence, deaths, YLLs, YLDs, and DALYs are illustrated for HL, NHL, MM, leukemia, and subtypes of leukemia in 1990 and 2017. Age-standardized rates are reported per 100,000 person-years. Abbreviations: ALL = acute lymphocytic leukemia. AML = acute myeloid leukemia. CLL = chronic lymphocytic leukemia. CML = chronic myeloid leukemia. DALYs = disability-Adjusted life-years. GBD = Global Burden of Disease. HL = Hodgkin lymphoma. MM = multiple myeloma. NHL = non-Hodgkin lymphoma. SDI = Socio-demographic Index. WHO = World Health Organization. YLDs = years lived with disability. YLLs = years of life lost.
DOI: 10.6084/m9.figshare.13788139.v1
title: Additional file 4 of A global, regional, and national survey on burden and Quality of Care Index (QCI) of hematologic malignancies; global burden of disease systematic analysis 1990–2017

description: Additional file 4: Table S4. Quality of Care Index and gender disparity ratio of hematologic malignancies by global, socio-demographic index quintile regions, WHO regions, and 195 countries or territories. Data are derived from GBD 2017. QCI scores are represented for HL, NHL, MM, leukemia, and subtypes of leukemia in females, males, and both sexes in 1990 and 2017. Abbreviations: ALL = acute lymphocytic leukemia. AML = acute myeloid leukemia. CLL = chronic lymphocytic leukemia. CML = chronic myeloid leukemia. DALYs = disability-adjusted life-years. GBD = Global Burden of Disease. HL = Hodgkin lymphoma. MM = multiple myeloma. NHL = non-Hodgkin lymphoma. QCI = Quality of Care Index. SDI = Socio-demographic Index. WHO = World Health Organization. YLDs = years lived with disability. YLLs = years of life lost.
DOI: 10.6084/m9.figshare.13788139
title: Additional file 4 of A global, regional, and national survey on burden and Quality of Care Index (QCI) of hematologic malignancies; global burden of disease systematic analysis 1990–2017

description: Additional file 4: Table S4. Quality of Care Index and gender disparity ratio of hematologic malignancies by global, socio-demographic index quintile regions, WHO regions, and 195 countries or territories. Data are derived from GBD 2017. QCI scores are represented for HL, NHL, MM, leukemia, and subtypes of leukemia in females, males, and both sexes in 1990 and 2017. Abbreviations: ALL = acute lymphocytic leukemia. AML = acute myeloid leukemia. CLL = chronic lymphocytic leukemia. CML = chronic myeloid leukemia. DALYs = disability-adjusted life-years. GBD = Global Burden of Disease. HL = Hodgkin lymphoma. MM = multiple myeloma. NHL = non-Hodgkin lymphoma. QCI = Quality of Care Index. SDI = Socio-demographic Index. WHO = World Health Organization. YLDs = years lived with disability. YLLs = years of life lost.
DOI: 10.6084/m9.figshare.13788235
title: Additional file 3 of Investigation of ancestral alleles in the Bovinae subfamily

description: Additional file 3. Annotation of regions without ancestral alleles
DOI: 10.6084/m9.figshare.13788238
title: Additional file 4 of Investigation of ancestral alleles in the Bovinae subfamily

description: Additional file 4. Accession numbers of individual sequencing reads
DOI: 10.6084/m9.figshare.13788235.v1
title: Additional file 3 of Investigation of ancestral alleles in the Bovinae subfamily

description: Additional file 3. Annotation of regions without ancestral alleles
DOI: 10.6084/m9.figshare.13788238.v1
title: Additional file 4 of Investigation of ancestral alleles in the Bovinae subfamily

description: Additional file 4. Accession numbers of individual sequencing reads
DOI: 10.6084/m9.figshare.13788294
title: Additional file 11 of Proteome profiling of different rat brain regions reveals the modulatory effect of prolonged maternal separation on proteins involved in cell death-related processes

description: Additional file 11: Table S6. A list of similarly expressed proteins in the prefrontal cortex, hippocampus and cerebellum of control and maternally separated juvenile rats.
DOI: 10.6084/m9.figshare.13788294.v1
title: Additional file 11 of Proteome profiling of different rat brain regions reveals the modulatory effect of prolonged maternal separation on proteins involved in cell death-related processes

description: Additional file 11: Table S6. A list of similarly expressed proteins in the prefrontal cortex, hippocampus and cerebellum of control and maternally separated juvenile rats.
DOI: 10.6084/m9.figshare.13788300
title: Additional file 2 of Proteome profiling of different rat brain regions reveals the modulatory effect of prolonged maternal separation on proteins involved in cell death-related processes

description: Additional file 2: Table S1. GO enrichment analysis of biological processes.
DOI: 10.6084/m9.figshare.13788300.v1
title: Additional file 2 of Proteome profiling of different rat brain regions reveals the modulatory effect of prolonged maternal separation on proteins involved in cell death-related processes

description: Additional file 2: Table S1. GO enrichment analysis of biological processes.
DOI: 10.6084/m9.figshare.13788306
title: Additional file 4 of Proteome profiling of different rat brain regions reveals the modulatory effect of prolonged maternal separation on proteins involved in cell death-related processes

description: Additional file 4: Table S2. A survey of 586 proteins involved in regulating cell death, apoptosis and redox balance according to GO biological processes and antioxidant proteins according GO molecular function.
DOI: 10.6084/m9.figshare.13788306.v1
title: Additional file 4 of Proteome profiling of different rat brain regions reveals the modulatory effect of prolonged maternal separation on proteins involved in cell death-related processes

description: Additional file 4: Table S2. A survey of 586 proteins involved in regulating cell death, apoptosis and redox balance according to GO biological processes and antioxidant proteins according GO molecular function.
DOI: 10.6084/m9.figshare.13788309
title: Additional file 5 of Proteome profiling of different rat brain regions reveals the modulatory effect of prolonged maternal separation on proteins involved in cell death-related processes

description: Additional file 5: Table S3. A list of 271 proteins excerpted from Table S2 whose levels were changed by prolonged maternal separation.
DOI: 10.6084/m9.figshare.13788309.v1
title: Additional file 5 of Proteome profiling of different rat brain regions reveals the modulatory effect of prolonged maternal separation on proteins involved in cell death-related processes

description: Additional file 5: Table S3. A list of 271 proteins excerpted from Table S2 whose levels were changed by prolonged maternal separation.
DOI: 10.6084/m9.figshare.13788312
title: Additional file 6 of Proteome profiling of different rat brain regions reveals the modulatory effect of prolonged maternal separation on proteins involved in cell death-related processes

description: Additional file 6: Table S4. A list of proteins whose levels were different in control samples from adult male and female rats and these differences disappeared in rats subjected to maternal separation.
DOI: 10.6084/m9.figshare.13788312.v1
title: Additional file 6 of Proteome profiling of different rat brain regions reveals the modulatory effect of prolonged maternal separation on proteins involved in cell death-related processes

description: Additional file 6: Table S4. A list of proteins whose levels were different in control samples from adult male and female rats and these differences disappeared in rats subjected to maternal separation.