Metrics
2,165,005 Downloads
Contact Share
Featured Dataverses

In order to use this feature you must have at least one published or linked dataverse.

Publish Dataverse

Are you sure you want to publish your dataverse? Once you do so it must remain published.

Publish Dataverse

This dataverse cannot be published because the dataverse it is in has not been published.

Delete Dataverse

Are you sure you want to delete your dataverse? You cannot undelete this dataverse.

Advanced Search

11 to 20 of 2,707 Results
S5_Correlation_plot.pdf
May 19, 2026 - Supplementary material for "Heterogeneity in postprandial glucose-insulin and triacylglycerol dynamics and associations with plasma metabolome and body composition in obesity"
Adobe PDF - 1.9 MB - MD5: 1c59a3c4d117ff1f76e6b89fe61a8762
Supplementary Fig. S5: Correlation matrix. The figure shows a Pearson correlation matrix including FPC score variables, as well as a large number of various summary measures of glucose, C-peptide and triacylglycerol, as well as insulin resistance. Correlation direction is indicated by text color (red = positive, blue = negative), and transparenc...
S6_FPCA_by_sex.pdf
May 19, 2026 - Supplementary material for "Heterogeneity in postprandial glucose-insulin and triacylglycerol dynamics and associations with plasma metabolome and body composition in obesity"
Adobe PDF - 6.6 MB - MD5: 49b3919645f3f6ffd281dcb1c9f6100b
Supplementary Fig. S6: FPCA stratified by sex. Plots A1 – A3, B1 – B3, C1 – C3 and D1 – D3 show the results from FPCAs of glucose, C-peptide, triacylglycerol and incremental triacylglycerol, respectively - not stratified by sex. All single plots display the entire set of n=190 individual curves but coloured according to the scores of a specified...
S7_Heatmap_original.pdf
May 19, 2026 - Supplementary material for "Heterogeneity in postprandial glucose-insulin and triacylglycerol dynamics and associations with plasma metabolome and body composition in obesity"
Adobe PDF - 900.1 KB - MD5: d001c305bdd00ce37974473794a98102
Supplementary Fig. S7: Heatmap, original. The heatmap shows the Pearson correlations between the FPC score variables for glucose, C-peptide, and TAG to a range of metabolic features including circulating fasting metabolite concentrations and body composition. Blue cells in the heatmap indicate strong positive correlation between variables, and y...
S8_Heatmaps_extended_sex.pdf
May 19, 2026 - Supplementary material for "Heterogeneity in postprandial glucose-insulin and triacylglycerol dynamics and associations with plasma metabolome and body composition in obesity"
Adobe PDF - 5.3 MB - MD5: 256143e2a11b572af3d7d990630b5240
Supplementary figure S8: Heatmaps, extended and by sex All heatmaps show Pearson correlations. Blue cells in the heatmap indicate strong positive correlation between variables, and yellow cells indicate strong negative correlations between variables. Page 2: Extended heatmap. In addition to the postprandial FPC variables for the 0-120 min cur...
SA1_R_script_FDA_FPCA.R
May 19, 2026 - Supplementary material for "Heterogeneity in postprandial glucose-insulin and triacylglycerol dynamics and associations with plasma metabolome and body composition in obesity"
R Syntax - 21.3 KB - MD5: e95685d8053ff604db4e38212f77e1c9
R script for performing curve fitting, FPCA, and generate plots of postprandial curves
SA2_Data_imputation_method.pdf
May 19, 2026 - Supplementary material for "Heterogeneity in postprandial glucose-insulin and triacylglycerol dynamics and associations with plasma metabolome and body composition in obesity"
Adobe PDF - 424.6 KB - MD5: 151791bb0eea3a612f729c963c1f9e04
RMarkdown file as .pdf containing the imputation procedure used for the missing postprandial data
00_README.txt
May 14, 2026 - Replication Data for: “Emotions in Context: A Semantic Field Viewed through Grammar and Collocation”
Plain Text - 7.5 KB - MD5: dc366e6d61055eff48b00cae8bf56c4c
This is the README file that describes the project and all of the other files in this dataset.
01_emoce.cz.csv
May 14, 2026 - Replication Data for: “Emotions in Context: A Semantic Field Viewed through Grammar and Collocation”
Comma Separated Values - 3.9 KB - MD5: 30e92bc08ffbb3fb48f20fef7e9c0802
This is the .csv file containing the data with the original Czech nouns.
02_emoce.en.csv
May 14, 2026 - Replication Data for: “Emotions in Context: A Semantic Field Viewed through Grammar and Collocation”
Comma Separated Values - 4.0 KB - MD5: 64a55e3a5492b3fbfc0c58afbbbeb532
This is the .csv file containing the data with (approximate) English equivalents.
03_Emoce.EURALEX.Rmd
May 14, 2026 - Replication Data for: “Emotions in Context: A Semantic Field Viewed through Grammar and Collocation”
R Notebook - 3.4 KB - MD5: 5b488c29c4e7a5ac9cae07bd1547a29d
This is the R markdown script for the analysis of 01_emoce.cz.csv and 02_emoce.en.csv.
Add Data

Log in to create a dataverse or add a dataset.

Log In
Share Dataverse

Share this dataverse on your favorite social media networks.

Link Dataverse
Reset Modifications

Are you sure you want to reset the selected metadata fields? If you do this, any customizations (hidden, required, optional) you have done will no longer appear.