{"references": ["Yang, Y., Viscarra Rossel, R.A., Li, S. Bissett, A., Lee, J., Shi, Z., Behrens, T., Court, L. 2019. Soil bacterial abundance and diversity better explained and predicted with spectro-transfer functions. Soil Biology & Biochemistry, 129: 29\u201338. DOI: 10.1016/j.soilbio.2018.11.005", "Yang, Y., Shen, Z., Bissett, A., and Viscarra Rossel, R. A.: Estimating soil fungal abundance and diversity at a macroecological scale with deep learning spectrotransfer functions, SOIL, https://doi.org/10.5194/soil-2021-79", "Bissett, A., Fitzgerald, A., Meintjes, T., Mele, P., Reith, F., & Dennis, P. et al. (2016). Introducing BASE: the Biomes of Australian Soil Environments soil microbial diversity database. Gigascience, 5(1)."]}

Visible–near infrared spectra of 695 soil samples collected in the Biomes of Australian Soil Environments (BASE) soil microbial diversity project (Bissett et al., 2016). The spectra represent reflectance values from 2151 wavelengths that range from 350 nm to 2500 nm with a 1 nm interval. The dataset has unique sample identification numbers and the date of sampling, which can be related to the BASE (Australian Microbiome) database (https://data.bioplatforms.com/organization/australian-microbiome)