Data for: Coherent optical two-photon resonance tomographic imaging in three dimensionsdoi:10.7910/DVN/HOMGFBHarvard Dataverse2023-01-031Mazelanik, Mateusz; Leszczyński, Adam; Szawełło, Tomasz; Parniak, Michał, 2023, "Data for: Coherent optical two-photon resonance tomographic imaging in three dimensions", https://doi.org/10.7910/DVN/HOMGFB, Harvard Dataverse, V1Data for: Coherent optical two-photon resonance tomographic imaging in three dimensionsdoi:10.7910/DVN/HOMGFBMazelanik, MateuszLeszczyński, AdamSzawełło, TomaszParniak, Michał2021/43/D/ST2/03114MAB/2018/4N62909-19-1-2127Harvard DataverseMazelanik, MateuszMazelanik, Mateusz2023-01-02PhysicsExperimental data presented in the manuscript: <i>Coherent optical two-photon resonance tomographic imaging in three dimensions</i> This research was funded in whole or in part by National Science Centre, Poland grant No. 2021/43/D/ST2/03114.<a href="http://creativecommons.org/publicdomain/zero/1.0">CC0 1.0</a>M. Mazelanik, A. Leszczyński, T. Szawełło, and M. Parniak, Coherent Optical Two-Photon Resonance Tomographic Imaging in Three Dimensions, arXiv:2210.12110 (2022) ‌2210.12110M. Mazelanik, A. Leszczyński, T. Szawełło, and M. Parniak, Coherent Optical Two-Photon Resonance Tomographic Imaging in Three Dimensions, arXiv:2210.12110 (2022) ‌3d_amplitude.npyThree-dimensional amplitude of atomic coherence used to create the 3D images presented in the manuscript. To load data use NumPy Python 3 module: numpy.load(filename).application/octet-stream3d_phase.npyThree-dimensional phase of atomic coherence used to create the 3D images presented in the manuscript. To load data use NumPy Python 3 module: numpy.load(filename).application/octet-streamFigure2.jsonData from Figure 2.application/jsonFigure3.jsonData from Figure 3.application/jsonFigure4.jsonData from Figure 4.application/jsonFigure5.jsonData from Figure 5.application/jsonFigure6.jsonData from Figure 6.application/json