five

Sandstone rock tomographic data, i12 beamline, DLS synchrotron

收藏
NIAID Data Ecosystem2026-05-01 收录
下载链接:
https://zenodo.org/record/10033400
下载链接
链接失效反馈
官方服务:
资源简介:
This data compliments a paper Conditional generative adversarial networks for stripe artefact removal in high-resolution X-ray tomography by D. Kazantsev, L. Beveridge, V. Shanmugasundar and O. Magdysyuk to be published in the Tomography of Materials and Structures journal in 2023 (to be updated). This data alongside the data from here was used to train the network to remove stripe artefacts.  The code is written in Python and located at: https://github.com/dkazanc/NoStripesNet
创建时间:
2023-10-23
5,000+
优质数据集
54 个
任务类型
进入经典数据集
二维码
社区交流群

面向社区/商业的数据集话题

二维码
科研交流群

面向高校/科研机构的开源数据集话题

数据驱动未来

携手共赢发展

商业合作