1084 43 15429 4 49730 document 15429 A novel in situ high-temperature magnetometry method for radiofrequency heating applications_Data.xlsx application/vnd.openxmlformats-officedocument.spreadsheetml.sheet ea6dfd885c49352f576a3bf1c0eb7069 MD5 5836250 2021-10-19 15:20:48 https://researchdata.bath.ac.uk/1084/1/A%20novel%20in%20situ%20high-temperature%20magnetometry%20method%20for%20radiofrequency%20heating%20applications_Data.xlsx 1084 1 1 application/vnd.openxmlformats-officedocument.spreadsheetml.sheet other Data for the paper: "A novel in situ high-temperature magnetometry method for radio frequency heating applications" en public cc_by
A novel in situ high-temperature magnetometry method for radiofrequency heating applications_Data.xlsx
data archive 2831 disk0/00/00/10/84 2021-11-30 09:58:15 2024-07-16 10:27:33 2021-11-30 09:58:15 data_collection show Noble Jonathan jppn20@bath.ac.uk 0009-0005-7284-2797 University of Bath TRUE Supervisor Hill Alfred a.k.hill@bath.ac.uk 0000-0003-4324-3822 University of Bath Dataset for "A Novel In Situ High-Temperature Magnetometry Method for Radiofrequency Heating Applications" ED0070 KF0030 dept_chem_eng induction heating, RF heating, magnetometry, hysteresis, magnetism, thermometry, hysteresis modelling, magnetite, maghemite The data follows the figure numbers from the paper which should make it easy to navigate. The data provided here is for the electromagnetic heating of magnetite under radio-frequencies. The data includes that from material characterisation, in-situ magnetometry, calorimetry, in-situ power absorption measurement and arc-tangent modelling results. The data is aligned to the figures in the research publication and is intended that future researchers can make their own analysis based upon our work. 2021-11-30 University of Bath public 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 The data is collected using techniques described fully in the accompanying research article. https://doi.org/10.1002/aenm.202102515 2019-10-01 2021-07-30 en 1 10.15125/BATH-01084 https://doi.org/10.1002/aenm.202102515 pub open Dataset