*** Data for the characterisation of chemical impurities of Perlite ore *** 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 chemical impurities of the perlite ore of the Zeitindag deposit (Turkey) 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: -SWIR: Geosciences lab of the ITC faculty (University of Twente) [December 2014 to January 2015] -LWIR: Macrolab / Stevinlaboratory of the Faculty of Civil Engineering and Geosciences (Delft University) [October 2015] -XRF: X-Ray Facilities Department of Materials Science and Engineering, 3ME Faculty (Delft University) [February 2017] -LIBS: Optics Department at TNO (the Netherlands Organization for Applied Scientific Research -- Delft facilities) [January 2015] 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 correlation between the chemical impurities in the perlite ore and its mineralogical content. The XRF dataset was aimed as calibration dataset for major elements and heavy metals. The LIBS dataset served for testing the experimental setup of a new instrument for the detection of heavy metals. The LWIR dataset served as laboratory calibration and validation method for the infrared measurements and the detection of minerals. The ASD instrument is intended for the implementation of the results; the SWIR dataset served for the in-the-field detection of mineralogy and for establishing the link between mineralogy and geochemistry. *** Samples*** The samples for this study were collected from three different pits (Kiziltepe [KTPH or K], Goltepe [G] and Sulubache [S]) in the Zeytindag perlite deposit (west Turkey) in a sampling campaign conducted on October 2014. The samples come from run-of-mine(ROM) stockpiles that normally serve as feed for the processing plant. ***Test Equipment*** XRF: Panalytical Axios Max WD-XRF spectrometer. LIBS: Experimental set-up included a Litron laser Nd:YAG at 1064 nm and a spectral range between 200 to 800 nm. 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. ***Dataset structure*** IR (Infrared) ASD-Kiziltepe: ATR-Goltepe ATR-Kiziltepe ATR-Sulubache LIBS (Laser-Induced Breakdown Spectroscopy) Data: contains LIBS lines of the samples from the Kiziltepe profile KTPH-N6: contains LIBS lines of extended measurements collected for the sample N6 XRF: contains the chemical data ***Data description*** XRF: XRF_Alteration profile.xlsx Column A: Sample location (in meters) Column B: Sample ID Columns C to AT: Detected elements LIBS LIBS files (*.txt): order;spectral_pixel_number;wavelength;order_pixel_number;intensity [One file per scan] Excel files: [One file per sample] Column A: wavelength Column B: Intensity Columns C to Q: scans Column R: Average of scans INFRARED ASD [one file per sample] *.asd: files readable with The Spectral Geologist (TSG) software *.txt: wavelength; intensity ATR [one file per sample] *.asc: wavenumber; intensity *.txt: wavenumber;intensity