1 to 10 of 2,707 Results
Plain Text - 12.8 KB -
MD5: 200cbb90622729f675c21c0943408e28
|
Jun 2, 2026 -
Supporting Dataset for “An evidence map of feedstock reporting in biomass- and waste-to-X conversion research”
Plain Text - 10.6 KB -
MD5: 02b54f896bd55d49efed8d2c779b35c5
|
Jun 2, 2026 -
Supporting Dataset for “An evidence map of feedstock reporting in biomass- and waste-to-X conversion research”
ZIP Archive - 9.5 MB -
MD5: 2c99825e7f10bc2d27dd524340b430f2
ZIP archive containing technology-specific reference-record files with assigned record IDs and bibliographic traceability metadata. Abstract text and other publisher-controlled bibliographic text fields have been removed from the public files to avoid redistribution of third-party content. |
Jun 2, 2026 -
Supporting Dataset for “An evidence map of feedstock reporting in biomass- and waste-to-X conversion research”
ZIP Archive - 24.2 KB -
MD5: 1e95319b9e703969a94cc1533b4b0b16
Folder containing machine-readable CSV outputs supporting manuscript figures, tables, and supplementary summaries. These files are provided for reuse, verification, and reproducibility.
|
Jun 2, 2026 -
Supporting Dataset for “An evidence map of feedstock reporting in biomass- and waste-to-X conversion research”
MS Excel Spreadsheet - 29.0 KB -
MD5: c019e284e00cb9db145fb79dadb9e625
Excel workbook providing quantitative transparency summaries for the extraction workflow, including Py1 extraction, Py2 cleaning/routing, Py3 validation, and manual-curation indicators.
|
Jun 2, 2026 -
Supporting Dataset for “An evidence map of feedstock reporting in biomass- and waste-to-X conversion research”
MS Excel Spreadsheet - 36.4 KB -
MD5: de7f4202155c27b5524812e80576c418
Excel workbook providing quantitative transparency summaries for the labelling workflow, including L1 material-status and renewability labelling, L2 hazard triage, L3 primary-biomass taxonomy, and L4 cross-technology audit and harmonisation. |
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... |
