Scan of specimen ummz:mammals:161556 (Rousettus amplexicaudatus AMPLEXICAUDATUS) - Skull. Raw Dataset includes 3141 TIF images (each 1691 x 1195 x 1 voxel at 0.03272923 mm resolution, derived from 3141 scan projections), xtek and vgi files for volume reconstruction. and Scan of specimen ummz:mammals:161556 (Rousettus amplexicaudatus AMPLEXICAUDATUS) - Skull. Reconstructed Dataset includes 1864 TIF images (each 1691 x 1195 x 1 voxel at 0.032729 mm resolution, derived from 3141 scan projections), xtek and vgi files for volume reconstruction.
Scan of specimen ummz:mammals:39515 (Philantomba MONTICOLA monticola) - Skull. Raw Dataset includes 1601 TIF images (each 1691 x 871 x 1 voxel at 0.07610194 mm resolution, derived from 1601 scan projections), xtek and vgi files for volume reconstruction. and Scan of specimen ummz:mammals:39515 (Philantomba MONTICOLA monticola) - Skull. Reconstructed Dataset includes 1077 TIF images (each 1691 x 871 x 1 voxel at 0.076102 mm resolution, derived from 1601 scan projections), xtek and vgi files for volume reconstruction.
Scan of specimen ummz:mammals:39516 (Neotragus batesi) - Skull. Raw Dataset includes 1601 TIF images (each 1818 x 1872 x 1 voxel at 0.06062173 mm resolution, derived from 1601 scan projections), xtek and vgi files for volume reconstruction. and Scan of specimen ummz:mammals:39516 (Neotragus batesi) - Skull. Reconstructed Dataset includes 837 TIF images (each 1818 x 1872 x 1 voxel at 0.060622 mm resolution, derived from 1601 scan projections), xtek and vgi files for volume reconstruction.
Scan of specimen ummz:mammals:157545 (Sorex cinereus cinereus) - WholeBody. Raw Dataset includes 3141 TIF images (each 694 x 956 x 1 voxel at 0.03109356 mm resolution, derived from 3141 scan projections), xtek and vgi files for volume reconstruction. and Scan of specimen ummz:mammals:157545 (Sorex cinereus cinereus) - WholeBody. Reconstructed Dataset includes 1920 TIF images (each 694 x 956 x 1 voxel at 0.031094 mm resolution, derived from 3141 scan projections), xtek and vgi files for volume reconstruction.
Scan of specimen ummz:mammals:121030 (Iomys horsfieldii) - Skull. Raw Dataset includes 1601 TIF images (each 1143 x 1668 x 1 voxel at 0.02924863 mm resolution, derived from 1601 scan projections), xtek and vgi files for volume reconstruction. and Scan of specimen ummz:mammals:121030 (Iomys horsfieldii) - Skull. Reconstructed Dataset includes 1062 TIF images (each 1143 x 1668 x 1 voxel at 0.029249 mm resolution, derived from 1601 scan projections), xtek and vgi files for volume reconstruction.
Scan of specimen ummz:mammals:112536 (Euroscaptor micrura) - Skull. Raw Dataset includes 1601 TIF images (each 1657 x 1193 x 1 voxel at 0.02094498 mm resolution, derived from 1601 scan projections), xtek and vgi files for volume reconstruction. and Scan of specimen ummz:mammals:112536 (Euroscaptor micrura) - Skull. Reconstructed Dataset includes 756 TIF images (each 1657 x 1193 x 1 voxel at 0.020945 mm resolution, derived from 1601 scan projections), xtek and vgi files for volume reconstruction.
Scan of specimen ummz:mammals:120402 (Thyroptera tricolor) - WholeBody. Raw Dataset includes 3141 TIF images (each 903 x 1189 x 1 voxel at 0.03140041 mm resolution, derived from 3141 scan projections), xtek and vgi files for volume reconstruction. and Scan of specimen ummz:mammals:120402 (Thyroptera tricolor) - WholeBody. Reconstructed Dataset includes 1963 TIF images (each 903 x 1189 x 1 voxel at 0.031400 mm resolution, derived from 3141 scan projections), xtek and vgi files for volume reconstruction.
Scan of specimen ummz:mammals:163707 (Capra hircus) - Skull. Raw Dataset includes 1601 TIF images (each 986 x 1201 x 1 voxel at 0.1215074 mm resolution, derived from 1601 scan projections), xtek and vgi files for volume reconstruction. and Scan of specimen ummz:mammals:163707 (Capra hircus) - Skull. Reconstructed Dataset includes 1895 TIF images (each 986 x 1201 x 1 voxel at 0.121507 mm resolution, derived from 1601 scan projections), xtek and vgi files for volume reconstruction.
The three approaches used three distinct datasets named as follows: Historicalwater_levels.csv, Historical_Precipitation.csv, and Bayesian Statistical dataset.csv. These files are accessible using Microsoft Office or similar software.
The machine learning models are developed in Jupyter Notebook (.ipynb) files, named according to the datasets they utilize. However, for the third approach, the models are named Random Forest, LSTM Model Base, and Multivariate LSTM Models. More details are available on the Shah_Bhavarth_Readme.txt. These notebooks can be accessed through Python, Project Jupyter, or Google Colab, and dependencies include libraries such as Pandas, NumPy, Matplotlib, Scikit-learn, Keras, and TensorFlow.
The supplementary material also includes Excel files for stage-curve calculations and diversions, named Water_levels_Stage_Curve_Calculations1970-2018.xlsx and Diversions_calculation.xlsx, respectively.
Shah, Bhavarth. 2024. "Mono Lake Water Levels Forecasting Using Machine Learning." Master’s thesis, University of Michigan, School for Environment and Sustainability. ORCID iD: 0000-0002-2391-8610. https://dx.doi.org/10.7302/22659
Scan of specimen ummz:mammals:113472 (Gerbilliscus AFRA) - Skull. Raw Dataset includes 1601 TIF images (each 1601 x 1538 x 1 voxel at 0.02683405 mm resolution, derived from 1601 scan projections), xtek and vgi files for volume reconstruction. and Scan of specimen ummz:mammals:113472 (Gerbilliscus AFRA) - Skull. Reconstructed Dataset includes 836 TIF images (each 1601 x 1538 x 1 voxel at 0.026834 mm resolution, derived from 1601 scan projections), xtek and vgi files for volume reconstruction.
