首页/数据集/Dataset:Ray and Halo impact craters on Ganymede : fingerprint for decoding Ganymede´s crustal structure

Dataset:Ray and Halo impact craters on Ganymede : fingerprint for decoding Ganymede´s crustal structure

NIAID Data Ecosystem2026-05-02 收录

陨石坑形态学

地质结构反演

数据链接：

https://zenodo.org/record/13255839 数据链接链接失效反馈

官方服务：

资源简介：

The geological basemap used in the study is from Kersten et al., 2021.

应用场景：

创建时间：

2024-08-10

重力勘探

地质结构反演

Gravity data measures small changes in gravity due to changes in the density of rocks beneath the Earth's surface. The data collected are processed via standard methods to ensure the response recorded

Research Data Australia120

AlbanyFraserNth CompleteSphCapBouguer geodetic 1vd

重力勘探

地质结构反演

Gravity data measure small changes in gravity due to changes in the density of rocks beneath the Earth's surface. The data are collected on geophysical surveys conducted by Commonwealth, State &

DataCite Commons2020-08-19 更新70

MLP-NN vs Gauss-Newton files

地质结构反演

神经网络

-Input files for randomly selected subset data (30 instances) from primary dipole-dipole forward modeling data.-Inversion results in surfer grid format as well as in .DAT format.-Scatterplots for MLP-

DataCite Commons2023-10-18 更新60

Data for: 3D Geological Structure Inversion from Noddy-Generated Magnetic Data Using Deep Learning Methods

地质结构反演

深度学习地球物理

This dataset contains 3 million magnetic field images of three-dimensional geological models generated as machine learning training datasets using PyNoddy

NIAID Data Ecosystem80

Data for the paper "An Inversion Algorithm for Deriving Shallow Structure using Co-located Wind, Pressure, and Seismic Data"

地质结构反演

多源地理数据融合

Wind, pressure, and seismic data used in the paper "An Inversion Algorithm for Deriving Shallow Structure using Co-located Wind, Pressure, and Seismic Data"

NIAID Data Ecosystem60

Dataset:Ray and Halo impact craters on Ganymede : fingerprint for decoding Ganymede´s crustal structure

资源简介：

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