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https://zenodo.org/record/4925961
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资源简介:
Original data  for paper -- Recovering 3D Basement Relief Using Gravity Data  Through Convolutional Neural Networks The data include: synthetic data (symmetry model, asymmetry, and complex model ), case study.  All of them include: the model (X, Y, Z), gravity station (xp, yp, zp), density contrast tho or the patameters of density contrast (aa bb cc dd).  Case study data from USGS (Roberts, 2002)(U.S. Geological Survey). Its url is : https://pubs.usgs.gov/of/2002/0353/getdata.html Roberts, Carter, Jachens, Robert, Katzenstein, Allan, Smith, Gregory, Johnson, Russell, 2002, Gravity map and data of the eastern half of the Big Bear Lake, 100,000 scale quadrangle, California and analysis of the depths of several basins: U.S. Geological Survey Open-File Report 02 -353, https://pubs.usgs.gov/of/2002/0353/.
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2021-06-16
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