Dataset description These datasets are voxel based reconstructions of hyperspectral CT data using the Core Imaging Library (CIL). They are stored as NeXus files (derived from hdf5) which can be read in, visualised and manipulated using CIL. - PDHG_TV_1000_Sp_alpha_0.004.nxs Is the solution after 1000 iterations of PDHG with TV applied in the spatial domain. - PDHG_TV_1000_SpCh_alpha_0.003_beta_0.5.nxs Is the solution after 1000 iterations of PDHG with TV applied both in the spatial domain, and in the energy (channel) domain. Dataset intended use These datasets are used in the CIL training notebook: https://github.com/TomographicImaging/CIL-Demos/blob/main/examples/3_Multichannel/03_Hyperspectral_reconstruction.ipynb They can be imported using CIL, with the following code snippet: from cil.io import NEXUSDataReader reader = NEXUSDataReader(file_name='path/to/data/PDHG_TV_1000_Sp_alpha_0.004.nxs') data = reader.read()