Flux measurements at the big solar furnace in Odeillo. Data levels description: Level 0 data: raw datasets from the different acquisition systems (cameras, radiometers, motion controllers…). Level 1 data: area of interest extracted from flux camera images and converted as HDF file (grayscale). Level 2 data: All data synchronised, converted and supersampled at millisecond resolution in HDF files: DNI, radiometer, heliostat aiming location from ARGOS camera, image maps at focal plane on the receiver in suns normalised for DNI 1000 W/m2. Level 3 data: data interpolated and smoothed for regular heliostat aiming positions. => Level 4 data: idem, but spatially subsampled at various resolutions. Provided here: 10mm resolution. One HDF file per heliostat. Heliostats chosen randomly among the 26 available. HDF file are compressed in zstandard. In python 3, requires the packages: pandas, hdf5plugin, tables, h5py, blosc, zstd. For each heliostat : the aiming position of the heliostats was moved in S patterns. Data from experiment started 2021-12-22 120618 GMT. Data processing completed 2022-03-02 1459 GMT. References: Related to SolarPaces 2022 communication: Building a 5D Database of Heliostats Flux Distributions: toward High Flexibility High Accuracy Flux Control for Odeillo's Big Solar Furnace Solar furnace description and more: https://doi.org/10.1063/1.5067052 Cameras settings description and more: https://doi.org/10.1063/1.5067202