Geotechnical and hyperspectral dataset for gold tailings

This dataset contains hyperspectral and geotechnical data collected from 300 artificially prepared gold tailings samples. The test specimens were prepared in petri dishes under controlled laboratory conditions with unique particle size distributions, moisture conditions, and densities. The geotechnical parameters of each test specimen were measured using applicable ASTM standard methods or calculated, and include percent sand, percent silt, percent clay, fines content, solids content, gravimetric moisture content, volumetric moisture content, degree of saturation, void ratio, porosity, total density, and dry density. Hyperspectral data were obtained using an ASD TerraSpec Halo spectrometer, which measures reflectance across a wavelength range of 350 to 2500 nm. The spectrometer includes three hyperspectral detector arrays, including a visible and near-infrared (VNIR) detector with a resolution of 3 nm, a short-wave infrared (SWIR) detector with a resolution of 9.8 nm, and a second SWIR ..., For a full description of the methodology used to collect these data, please refer to the associated publication titled Ex Situ Hyperspectral Sensing and Machine Learning for Tailings Characterization (https://doi.org/10.1139/cgj-2024-0656). 
, , # Geotechnical and hyperspectral dataset for gold tailings

[https://doi.org/10.5061/dryad.v15dv4278](https://doi.org/10.5061/dryad.v15dv4278)

## Description of the data and file structure

The dataset (Tailings-Hyperspectral-Dataset-Bindner_et_al.2024.csv) contains hyperspectral and geotechnical data collected from 300 artificially prepared gold tailings samples.

### Files and variables

#### **File: Tailings-Hyperspectral-Dataset-Bindner_et_al.2024.csv**

**Description:** Dataset containing geotechnical and optical parameters for gold tailings. 

**Variables**

* Sample_ID: This field ranges from 1-300. Each is associated with a unique combination of particle size distribution, moisture, and density.
* PSD_ID: This field ranges from 1-100 and describes the particle size distribution sample that each test specimen (or Sample_ID) was prepared from. 
* Sand (%): This describes the mass fraction percent sand (g/g) in percent. Sand is defined as particles greater than 75 µm. Percent sand...,