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Polymer Informatics Method for Fast and Accurate Prediction of the Glass Transition Temperature from Chemical Structure' - dataset
Get PDFThe data file attached named "Supporting_data_file.xlsx" includes the full PAEK-Tg data set under the sheet named "Data". All data under "Data" was collected from the literature and from Victrex R&D; corresponding references are provided under the PDF named "Data_references.pdf". Although the SMILES of all homo/co-polymers is provided, a bespoke naming convention was applied for improved/faster visibility of the (sub)structures; the key for this naming convention is found under the sheet named "Key" in the file "Supporting_data_file.xlsx". All count matrices (averaged for copolymers as discussed in the manuscript) are provided under the sheets "X_L_Ar_L", "X_L_Ar" and "X_Ar_L_Ar" corresponding to fragment definitions L-Ar-L, L-Ar and Ar-L-Ar, respectively. All descriptors used for the QSPR-GAP models (i.e. L-Ar-L fragments) are provided in the sheet named "D_L_Ar_L". All descriptors used for the pure QSPR models are provided in the sheet named "D_polymer". The data for figures 2, 3 and 4, is provided in the sheets with prefix "Fig*"
Longitudinal Stressor-Performance Relationship among Construction Workers. [Dataset].
No full textThe dataset focused on the stressors and job performance among construction workers in longitudinal lens. Data were collected from five participants (construction workers) over a period of eight weeks. Participants self-reported daily about their stressors and job performance. The scale ranged from 100 to 500, where “100” represented strong disagreement, “300” indicated uncertainty, and “500” represented strong agreement. This criteria allowed for more granular responses compared to traditional Likert scales
Microbubble Enhanced Delivery of Vitamin C for Treatment of Colorectal Cancer
No full textThis dataset contains the raw data needed to recreate any plots presented in the publication 'Microbubble Enhanced Delivery of Vitamin C for Treatment of Colorectal Cancer
Molecular Crystals 4D-STEM Dataset for Microscopic Dislocation Analysis
No full textOriginal scanning electron diffraction data were acquired on p-terphenyl, anthracene, theophylline, and leaf wax samples presented in the linked publication. The dataset also contains associated calibration data of Au-X grating and MoO3. The data is presented in HDF5 file format, consistent with the hyperspy Python package, an open-source package coded in Python
Dataset for "The pore structure and water absorption in Portland/slag blended hardened cement paste determined by synchrotron X-ray microtomography and neutron radiography"
No full textThe data contained in this workbook has been used to create the following figures in the journal article:
Vigor, J. E., Prentice, D.P., Xiao, X., Bernal, S. A., and Provis, J. L. 2024, The pore structure and water absorption in Portland/slag blended hardened cement paste determined by synchrotron X-ray microtomography and neutron radiography, RSC Advances, 14, p. 4389-4405. https://doi.org/10.1039/d3ra06489a The respective data for each figure is given a separate worksheet. Datasets which are too large to be contained within this spreadsheet can be provided upon request
Peptide-urea-TMAO diffraction data
No full textReduced diffraction measurements for the isotopically substituted samples of GPG tripeptide in aqueous urea, and the results of the EPSR simulations that underlie this experiment
Lung ultrasound COVID phantom dataset used for training machine learning model
No full textThis data repository contains all the raw imaging videos taken on a COVID-19 lung ultrasound phantom with a range of diagnostic ultrasound systems outlined in the methods section of the accompanying paper. These videos were used to generate a bank of imaging frames with a wide variety of COVID-19 features from the ultrasound phantom. MatLab code used to do this is also included in the repository. This data was used to train the included machine learning model, along with the labelled training and test datasets
plos_one_carehome_SNA.xls
Get PDFSocial network data from four UK care homes with and without nursing. Dates of data collection range from Feb 2021 to Jun 2022. Dataset has two sheets. Sheet one (combined_edges) contains relationships and sheet two (combined_nodes) contains ID (person and home) and community role (staff, resident) and Social network statistics/measures (degree, clustering coefficient, triangles, modularity and weighted degree.
Dataset associated with the paper: A Country-Level Primary-Final-Useful (CL-PFU) Energy and Exergy Database: Overview of its construction and 1971–2020 world-level efficiency results
No full textData for 'Outer membrane protein assembly mediated by BAM-SurA complexes'
No full textThe outer membrane is a formidable barrier that protects Gram-negative bacteria against environmental threats. Its integrity requires the correct folding and insertion of outer membrane proteins (OMPs) by the membrane-embedded β-barrel assembly machinery (BAM). Unfolded OMPs are delivered to BAM by the periplasmic chaperone SurA, but how SurA and BAM work together to ensure successful OMP delivery and folding remains unclear. Here, we present a dataset of single-molecule FRET of SurA and its interaction with the BAM alongside two alphafold predictions of the formed complex