Mapping Phyllosilicates on the Asteroid Bennu Using Thermal Emission Spectra and Machine Learning Model Applications

We provide the laboratory spectra and metadata that was used to construct the PLS model coefficients. Through the application of the model, we provide the prediction values in volume% for Mg-rich serpentine, cronstedtite, and saponite for the BBD1, EQ3, and TAG datasets.

本研究提供了用于构建偏最小二乘（Partial Least Squares）模型系数的实验室光谱与元数据。通过应用该模型，本研究针对BBD1、EQ3及TAG数据集，给出了富镁蛇纹石（Mg-rich serpentine）、克朗斯泰特石（cronstedtite）与皂石（saponite）的体积百分比预测值。