*** Data for the characterisation of carbonate-rich diatomite ores ***
Author: L.A. (Adriana) Guatame-Garcia
Resource Engineering, Department of Geoscience and Engineering, Faculty of Civil Engineering and Geosciences, Delft University of Technology 
Contact information:
l.a.guatame-garcia@tudelft.nl
Delft University of Technology ? Faculty of Civil Engineering and Geosciences

***General Introduction***

This dataset contains data collected for the characterisation of carbonate-rich diatomite ores of the Elche de la Sierra deposit (Spain) 
at Delft University of Technology. The dataset makes part of the PhD research project of Adriana Guatame-Garcia entitled ?Detection of 
factors that determine the quality of industrial minerals: An infrared sensor-based approach for mining and Process control?. The dataset 
is being public as supplementary data for publications and the PhD thesis.

The data were collected at: 
-XRF: X-Ray Facilities Department of Materials Science and Engineering, 3ME Faculty (Delft University) [December 2016]
-ESEM: Microlab of the Faculty of Civil Engineering and Geosciences (Delft University) [September 2015]
-LWIR:  Macrolab / Stevinlaboratory of the Faculty of Civil Engineering and Geosciences (Delft University) [March 2016]
-SWIR: Inventech Benelux laboratory (Oosterhout, the Netherlands) [January 2015]
-MWIR: Resource Engineering section Faculty of Civil Engineering and Geosciences (Delft University) [May 2017]

This research was financially supported by the European FP7 project ?Sustainable Technologies for Calcined Industrial Minerals in Europe? 
(STOICISM),

***Purpose of the test campaign***

The purpose of these measurements was to investigate the content of carbonate minerals present in a diatomite deposit. The XRF dataset was 
aimed as calibration dataset for major elements (as oxides) to support the identification of carbonates, clay minerals and evaporites. The 
ESEM microphotographs aid in the visualisation of the type of diatom shells and their preservation in the ore, as well as the type of 
carbonate. The LWIR dataset served as laboratory calibration and validation method for the infrared measurements and the detection of minerals.
The ASD and portable FTIR instruments were intended for the implementation of the results; the SWIR and MWIR datasets served for the 
in-the-field detection of mineralogy and to compare the performance of the two instruments. 

*** Samples***

The material for this study was composed of run-of-mine (ROM) samples collected from a mine face in the deposit at different stratigraphic 
positions. 13 samples (named D1 to D13) were taken at different stratigraphic positions and different points.

***Test Equipment***

XRF: Panalytical Axios Max WD-XRF spectrometer. 
ESEM: Philips XL30 ESEM and supported with element analysis.
LWIR: PerkinElmer Spectrum 100 FTIR. Spectral range 4000 to 600 cm-1 (2.50 to 16.67 um). Resolution 2cm-1. Set-up: ATR using a diamond 
crystal
SWIR: ASD Field-Spec (Malvern Panalytical. Spectral range 350 to 2500 nm (0.3 to 2.5 um). Resolution: 3 nm at 700 nm, 10nm at 1400nm and 
2100nm. Set-up: Contact probe and internal light source for bidirectional reflectance.
MWIR: Agilent FTIR 4300 Field (Handheld) spectrometer. Spectral range 5200 to 600 cm-1 (1.90 to 16.67 um). Resolution: 4cm-1. Set-up: 
Diffuse reflectance interface, coarse silver calibration

***Dataset structure***

ESEM: contains the ESEM microphotographs 
IR
	ASD: SWIR data collected with the ASD spectrometer
	ATR: LWIR data collected with the PerkinElmer spectrometer
	DRIFT: MWIR data collected with the FTIR spectrometer
XRF: contains the XRF data

***Data description***

XRF: XRF_Alteration profile.xlsx
Column A: Oxides
Columns B to AI: Concentration and measurement error per sample

ESEM: microphotographs in TIFF and png format

INFRARED
ASD [one file per sample]
	*.asd: files readable with The Spectral Geologist (TSG) software
ATR [one file per sample]
	*.asc: wavenumber; intensity
	*.sp: wavenumber;intensity
DRIFT [one file per sample]
	*.a2r: files readable with the MicroLab software
	*.asp: wavenumber; intensity (readable with MathLab or R)