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

1 to 10 of 1,361 Results
R Syntax - 21.3 KB - MD5: e95685d8053ff604db4e38212f77e1c9
R script for performing curve fitting, FPCA, and generate plots of postprandial curves
Adobe PDF - 424.6 KB - MD5: 151791bb0eea3a612f729c963c1f9e04
RMarkdown file as .pdf containing the imputation procedure used for the missing postprandial data
Adobe PDF - 3.1 MB - MD5: 01331e81efc1de68d50703903d7ca590
Supplementary figure S1: Curve fitting with different degrees of smoothing. The plots (A-C) shows the 0-120 min postprandial data from 10 randomly selected participants, together with their respective smoothed postprandial curve. Each subplot shows smoothing with a specific value of teh smoothing parameter, lambda, as indicated in the plot title. T...
Adobe PDF - 10.5 MB - MD5: 7967fc349f6e7d17c8e6c462ff6668f0
Supplementary figure. S2: Plots of all smooth postprandial curves. The 16 separate plots show the estimated postprandial curves based on fasting and postprandial measurements of, respectively, alanine aminotransferase, albumin, alkaline phosphatase, bilirubin, C-reactive protein, free thyroxine, glucose, gamma-glutamyl transferase, High-density...
Adobe PDF - 18.0 MB - MD5: 00476f82bc8b73f7e76ed317fd286af3
Supplementary Fig. S3: FPCA of all postprandial variables. The 32 sets of plots (one set of plots at each page) show the results from functional principal component analyses (FPCA) of the postprandial curves of the 15 postprandial variables, and incremental triacylglycerol. Both the FPCA of the 0-120 minute interval and the 0-240 interval is pre...
Adobe PDF - 115.0 KB - MD5: 8c26e4642e0f55aea074883567935de4
Supplementary Fig. S4: Plots of FPC curves, harmonics. The plots show the three first functional principal component curves (FPCs, harmonics) for glucose, C-peptide, TAGs, and incremental TAGs, respectively. In all plots, the black, solid line represents the first FPC, the red dashed line represents the second FPC, and the green dotted line repr...
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...
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...
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...
Add Data

Log in to create a dataverse or add a dataset.

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.