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- Data for: Comparison of Clustering Algorithms applied to Fluid Characterization using NMR T1-T2 Maps of Shale The T1-T2 measurements data of the four samples. Each file is a fluid volume matrix, the T1 and T2 points are in seperated files. The data is also avaiable on github along with the source code. (https://github.com/jianghan2013/NMR_clustering_paper)
- A synthetic 3D ground-penetrating radar (GPR) data set across a realistic sedimentary model______V1____________2019____________________ This data set includes a 3D modeled ground-penetrating radar (GPR) reflection data set as well as the underlying realistic sedimentary model. We provide a 3D porosity model showing heterogeneities down to the sub-facies scale. We have inferred this model from the publicly available 3D Herten hydrofacies model ('Realization 1' in Supplementary Material of Comunian et al., 2011; see related links down below) and the associated porosity values and ranges (Bayer et al., 2011; see related links down below). Details on the generation of our porosity model are found in the associated article. We deliver our unprocessed 3D GPR reflection data set modeled using gprMax (Warren et al., 2016; see related links down below) across the entire model surface assuming fresh-water saturated sediments. Details on the transformation of the porosity model into electrical parameter fields used as input for GPR modeling as well as information on the GPR modeling procedure are found in the associated article. Additionally, we provide basic code to read and visualize the provided data in MATLAB and python. The Readme-file comprises detailed descriptions of the data files and formats and step-by-step instructions on code usage and ParaView visualization. ______V2____________2025____________________ We deliver a unprocessed 3D Multi-Offset (MO) dataset modeled using gprMax (Warren et al., 2016; see related links down below) along selected 2D lines (y = 2, 4, 6, 8 m) assuming fresh-water saturated sediments. Details on the GPR modeling procedure are found in the associated article.
- Data for: Assessing and Visualizing Uncertainty of Geological Surfaces Using Level Sets with Stochastic MotionThis data package contains 1. virtual drillhole and entropy maps for the illustration case; 2. the drill-holes, initial model, realizations, probability maps and entropy map for the synthetic copper case. They can all be visualized in SGeMS (http://sgems.sourceforge.net/). The origin coordinate for the synthetic copper case is (-10, -10, -10), and cell size is 1.
- Data for: A High-Throughput Shared Service to Estimate Evapotranspiration Using Landsat ImageryThis files contains the raw data used to generate the results presented in Section 4 of the paper. The headers in the tables are self-explanatory. The summary information are the results that appear in the paper. The formulae explain how the results in the summary have been computed.
- Data for: Potential field continuation in spatial domain: A new kernel function and its numerical scheme (1) conti2d-win10.zip includes manual, source code and pre-compiled executable file with and without GUI for Win10 system. (2) conti2d-master.zip includes manual, source code for Linux and Mac OS. (3) Tutorial_conti2d.mp4 is a video tutorial for executable program of conti2d with GUI.
- Data for: Inverting magnetotelluric responses in a three-dimensional earth using fast approximations based on artificial neural networksTrained network and auxillary files for neural network MT forward function approximation
- Data for: Modelling of Soil Moisture Retention Curve using Machine Learning Techniques: Neural Networks and Support Vector Regression ModelsSoil moisture and suction of loamy sand soil sample subjected to monotonic wetting and soil sample subjected to monotonic drying.
- Data for: A Hybrid Prediction Model of Landslide Displacement with Risk-Averse AdaptationWe provide the metadata of the experiment. There are 6 groups in total, including 1) Monitored curves of ZG118 station: reservoir water level; 2) Monitored curves of ZG118 station: rainfall; 3) Decomposition results of cumulative displacement; 4) Iterative process of solving hybrid model parameters; 5) Predicted results of periodic displacement using hybrid model; 6) Predicted results of cumulative displacement using SVR, LSTM and hybrid model.
- Data for: GassDem: A MATLAB program for modeling the anisotropic seismic properties of porous medium using differential effective medium theory and Gassmann’s poroelastic relationshipThe uploaded zip file includes computer code materials: the MATLAB GUI and source code; README.txt; UserManual.pdf.
- Data for: Assessment of the accuracy of several methods for measuring the spatial attitude of geological bodies using an Android smartphoneThis is the data obtained by Android smartphone sensors, when phone is placed at different orientations. We have re-examined and modified the formulas for the calculation methods.
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