675 46 11407 4 33225 document 11407 _Enhancing the Photo-corrosion Resistance of ZnO Nanowire Photocatalysts_data set 2019.xlsx application/vnd.openxmlformats-officedocument.spreadsheetml.sheet eb57143807ae9ed864b5f35b49d0f049 MD5 181213 2019-06-11 15:30:02 https://researchdata.bath.ac.uk/675/1/_Enhancing%20the%20Photo-corrosion%20Resistance%20of%20ZnO%20Nanowire%20Photocatalysts_data%20set%202019.xlsx 675 1 1 application/vnd.openxmlformats-officedocument.spreadsheetml.sheet other Data set including raw XRD data, degradation data and calculations en public cc_by

_Enhancing the Photo-corrosion Resistance of ZnO Nanowire Photocatalysts_data set 2019.xlsx

data 11408 4 33235 document 11408 _Enhancing the Photo-corrosion Resistance of ZnO Nanowire Photocatalysts_figures 2019.pptx application/vnd.openxmlformats-officedocument.presentationml.presentation 738e4398cee39aef24dabdf7ab4c7492 MD5 41197209 2019-06-12 14:39:48 https://researchdata.bath.ac.uk/675/2/_Enhancing%20the%20Photo-corrosion%20Resistance%20of%20ZnO%20Nanowire%20Photocatalysts_figures%202019.pptx 675 2 3 application/vnd.openxmlformats-officedocument.presentationml.presentation other Transmission and Scanning Electron Microscopy (TEM/SEM) images en public cc_by

_Enhancing the Photo-corrosion Resistance of ZnO Nanowire Photocatalysts_figures 2019.pptx

data 12926 4 37659 document 12926 bath-00675_csv-files.zip application/zip 81f1d9a5903ef58d3b5e08cd21ed1dfd MD5 41788 2019-12-19 17:35:03 https://researchdata.bath.ac.uk/675/3/bath-00675_csv-files.zip 675 3 2 application/zip other CSV versions of data including XRD data, degradation data and calculations en public cc_by

bath-00675_csv-files.zip

data archive 6564 disk0/00/00/06/75 2019-12-20 12:01:52 2024-07-18 12:31:51 2019-12-20 12:01:52 data_collection show Taylor Caitlin C.Taylor2@bath.ac.uk University of Bath TRUE Ramirez Canon Anyela M. A.M.Ramirez.Canon@bath.ac.uk University of Bath FALSE Wenk Jannis J.H.Wenk@bath.ac.uk 0000-0001-9182-0407 University of Bath FALSE Mattia Davide D.Mattia@bath.ac.uk 0000-0002-7679-4105 University of Bath FALSE CA0010 CJ0020 GE0040 dept_chem_eng The spreadsheet contains the following tabs: - X-ray diffraction data for Figure 2 in the paper;* - data for photocatalytic degradation of ZnO_F and ZnO_W in Figures 4 and 6 in the paper, respectively;* - reactor calculations; - calibration data for phenol;* - attenuation factor calculations; - data and calculations for hydrodynamic values contained in paper;* - photodegradation data for Figure 7 in the paper;* - Zn concentration calculations. Data marked with an asterisk can also be found in CSV format in the accompanying zip file. Zinc oxide (ZnO) displays superior properties as a photocatalyst for water treatment compared to widely used TiO2. More widespread application of ZnO, though, is hampered by its low stability and high photo-corrosion in aqueous environments, with the latter further enhanced under UV irradiation. The paper associated with this dataset, "Enhancing the Photo-corrosion Resistance of ZnO Nanowire Photocatalysts", shows for the first time that oxygen plasma post-treatment significantly enhances the photo-corrosion resistance of ZnO nanowire films in water under UV irradiation, while also leading to a 46% and 13% higher degradation of a model pollutant, phenol, compared to the as-produced and thermally annealed films, respectively, for the same irradiation time. This dataset contains the photodegradation and phenol calibration data underpinning these results, alongside measurements of Zn concentration in the solution after photocatalysis, X-ray diffraction data, hydrodynamics calculations, and Transmission and Scanning Electron Microscopy (TEM/SEM) images. 2019-06-19 University of Bath public The results derived from this dataset open the way to more widespread use of stable, photo-corrosion resistant ZnO in the degradation of organic pollutants in water. RightsHolder University of Bath Engineering and Physical Sciences Research Council https://doi.org/10.13039/501100000266 EP/L016354/1 EPSRC Centre for Doctoral Training in Sustainable Chemical Technologies Engineering and Physical Sciences Research Council https://doi.org/10.13039/501100000266 EP/P031382/1 Fellowship - Photocatalytic Anodic Membranes for Micropollutant Removal cent_sus_tech All data collection methods and analytical steps are fully described in the associated manuscript. All instrumentation details are fully described in the associated manuscript. https://researchportal.bath.ac.uk/en/publications/d04bb296-e379-452d-b35b-604bf62778d3 en 1 10.15125/BATH-00675 https://doi.org/10.1016/j.jhazmat.2019.120799 pub open