Geotechnical and hyperspectral dataset for gold tailings
收藏DataCite Commons2026-01-28 更新2026-04-25 收录
下载链接:
https://datadryad.org/dataset/doi:10.5061/dryad.v15dv4278
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资源简介:
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.
提供机构:
Dryad
创建时间:
2025-10-08



