Geotechnical and hyperspectral dataset for gold tailings
Data files
Oct 08, 2025 version files 7.71 MB
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README.md
2.87 KB
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Tailings-Hyperspectral-Dataset-Bindner_et_al.2024.csv
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Abstract
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 detector with a resolution of 8.1 nm. For each test specimen, two scans were taken at different locations and averaged to produce a single reported hyperspectral reflectance. The dataset includes interpolated reflectance data at 1 nm intervals. The data are presented in a csv file where the first row contains column titles that describe the sample identification number, geotechnical parameters, and hyperspectral data. Each subsequent row in the dataset contains information about these fields for each of the 300 samples.
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 is equal to the mass of dry sand divided by total dry mass of the sample.
- Silt (%): This describes the mass fraction percent silt (g/g) in percent. Silt is defined as particles between 75 μm - 2 µm. Percent silt is equal to the mass of dry silt divided by total dry mass of the sample.
- Clay Sized Particles (%): This describes the mass fraction percent clay (g/g) in percent. Clay is defined as particles less than 2 µm. Percent clay is equal to the mass of dry clay divided by total dry mass of the sample.
- Fines Content (%): This describes the mass fraction percent fines (g/g) in percent. Fines is defined as particles between less than 75 µm. Percent fines is equal to the mass of dry fines divided by total dry mass of the sample.
- Solids Content (%): Solids content describes the mass of solids in the sample divided by the total mass of the sample (i.e. mass of solids and water in the sample). Solids content is expressed as a percentage.
- Gravimetric Moisture Content (%): Describes mass of water divided by the mass of solids in the sample.
- Volumetric Moisture Content (%): Describes the volume of water divided by the total volume of the sample.
- Saturation (%): Describes the volume of water divided by the volume of voids (water plus air) in the sample.
- Void Ratio: Describes the volume of voids in the sample (water plus air) divided by the volume of solids in the sample.
- Porosity: Describes the volume of voids in the sample (water plus air) divided by the total volume of the sample.
- Total Density (g/cubic cm): Describes the total mass of the sample divided by the total volume of the sample.
- Dry Density (g/cubic cm): Describes the mass of solids in the sample divided by the total volume of the sample.
- 350 nm - 2500 nm: Describes the interpolated wavelengths that reflectance values are reported for.
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).