READ ME File For Data to support the Southampton Doctoral Thesis entitled:  Analysis of Expedited Chromatographic Separation Systems for Application to the Decommissioning of Nuclear Facilities

Dataset DOI: 10.5258/SOTON/D2259

ReadMe Author: ALEXANDER JAMES HATELY, University of Southampton ORCID ID: : 0000-0003-4601-3168

This dataset supports the thesis entitled: Analysis of Expedited Chromatographic Separation Systems for Application to the Decommissioning of Nuclear Facilities
AWARDED BY: Univeristy of Southampton
DATE OF AWARD: July 2022

DESCRIPTION OF THE DATA
Thesis formed of three research chapters (chapters 4-6). 
Chapter 4 consists of research into the separation and purification of Sr-90 from cementitious matrices by extraction chromatography at elevated flow rates. 
Chapter 5 is a study of the kinetic control on the uptake of major actinides and Th on different chromatographic materials. 
Chapter 6 is an analysis of a sample preparation method for the separation of multiple radionuclides from a single sample. 

Data consists of ICP-QQQ-MS, MC-ICP-MS, Gamma spec, Alpha spec, Liquid scintillation, WDXRF as well as sample masses for each test. 
These are tabulated and processed in excel, however the raw data from the radiometric analysis is in various other forms. 
Alpha spec data is in Ortec spectral form as well as RPT notepad format for the ROI data. 
Raw LSC/Cherenkov count data is present as plain text documents. 
Raw gamma spec data is present in scanned document PDFs (viewable in Adobe Acrobat) which are then transposed to the relevant excel files. 
All ICP-MS, WDXRF sample mass and calibration data is present in excel format.
Calibrations were produced gravimetrically in all instances. 

This dataset contains:

Data_for_Sr_separation_from_cementitious_matrices.zip (supporting thesis Chapter 4)
Data_for_Actinide_uptake_kinetics.zip (supporting thesis Chapter 5)
Data_for_Multi_separation_method.zip (supporting thesis Chapter 6)

Subfiles are distinguished by their relation to the subheadings in the main text of the thesis. 


Date of data collection: 2017-2021

Geographic location of data collection: Southampton, UK

Licence:
CC BY 4.0

Related projects/Funders:
Univeristy of Southampton (Funder)


Date that the file was created: June 2022