DOI: 10.6084/m9.figshare.30385516
title: Data for "Are pseudo first-order kinetic constants properly calculated for catalytic membranes?"

description: DescriptionThis dataset accompanies the publication "Are pseudo first-order kinetic constants properly calculated for catalytic membranes?" and includes the database containing all the analysed literature, the kinetic rate constants, statistics and the code used to complete all the analysis and generate the figures for the publication. The study compares different methods of calculating pseudo first-order (PFO) kinetic rate constants for degrading water contaminants using catalytic membranes.This dataset includes:<b>database.xlsx</b>: Excel file containing all details about surveyed literature and calculated PFO kinetic results.<b>catalytic_membrane_meta-analysis-0.1.3.zip</b>: zip folder containing figures from the publication and python codes and instructions for generating PFO results and individual figures for every research article listed in database.xlsxData Contentsdatabase.xlsxPorous Catalytic Membranes (Tab 1):Index - number associated with analysis and figures generated by python codes in catalytic_membrane_meta-analysis-0.1.3.zipAuthor full namesTitleYearSource titleDOIAbstractKeywordsData Table (Tab 2):Index - number associated with analysis and figures generated by python codes in catalytic_membrane_meta-analysis-0.1.3.zipTitleComments on C/C0 Graph - description on what data was extracted, the format of the data and any modification required for analysis (if any).Data Location - the location within the research articles or supplimentary informations files where the C/C0 graphs can be found.Removal Mechanism - The removal mechanism specified by the research articles that are associated with the C/C0 graphs.All the PFO kinetic contant results and the statistics associated with different methods of calculating PFO kinectic constantscatalytic_membrane_meta-analysis-0.1.3.zipcase_studies:Directory containing the data, figures and code to generate the figures for the four case studies presented in the article.concentration_graphs:Directory containing subdirectories jpg and csv where concentration graphs (C/C0) are generated to by "data-analysis.py" script examples:Directory containing figures and code relating to the comparison of calculation methodologies for PFO kinetic rate constants in the article.exp_equil_graphs:Directory containing subdirectories jpg and csv where the graphs related to the exponential model with equilibrium constant are generated to by "data-analysis.py" script exponential_graphs:Directory containing subdirectories jpg and csv where the graphs related to the exponential model are generated to by "data-analysis.py" script first_order_kinetic_graphs:Directory containing subdirectories jpg and csv where the graphs related to the linearized from of C/C0 are generated to by "data-analysis.py" scriptindividual_mechanisms:Directory containing the meta-analysis figures for each separate mechanism (found in supplementary information) and the code to generate these figures.meta-analysis:Directory containing the meta-analysis figure found in the article, histograms subdirectory containing the histogram figures and "database.xlsx" from which the data use used to generate the figures is drawnmodel_parameters:Directory containing "model_parameters.csv" which is the output file for the "data-analysis.py" script where all the calculated PSO kinetic contant values and statistics are recorded.processed_data:Directory containing .csv files associated with each analyzed journal article labelled by the index defined in "database.xlsx". The data is the C/C0 data from each paper after modifications were made as described in the journal article including normalization and converting time scale to minutes etc. These files are used by "data-analysis.py" to generate PSO kinetic constants and the figures associated with each analysis method.data-analysis.py:The python script which should be run to analyze the data and generate figures. Licence:The licence agreement for use of the codes and data.meta-analysis:The python script for generating the meta-analysis figures and histogram figures.README.md:The details and instructions for using the provided codes.Usage NotesPlease cite the original publication when using this dataset.LicensingThis dataset is licensed under CC BY 4.0. See the publication for further details.