Research data and scripts for manuscript "Beyond Lux: Methods for Species and Photoreceptor-Specific Quantification of Ambient Light for Mammals"

These files contain the raw data, analysis and scripts used to create the figures for the paper: Beyond Lux: Methods for Species and Photoreceptor-Specific Quantification of Ambient Light for Mammals<b>Figure 1 Data - Mammalian melanopsin spectral sensitivities</b>Raw &amp; normalised cell response data:Figure 1 - cell responses &amp; lmax.xlsxlmax fitting script:Opsin_Fit-README.mdopsin-receptor-fitting-analysis.Rproj1.extract_and_transform.R2.fitting_procedure.R3.fig_bootstrap_results.R4.fig_RSS_per_lmax.R5.sigmoind_fits_plots.Rcalc_sum_log_photons_gov.Rcreate_govardovskii_template.Rlmax_based_5p_fitting.Rpower_to_photons.Rresponses.xlsxspectra.xlsx<br><b>Figure 2 Data - Cross-species light dosimeter validation</b>Figure 2 - ReadMe.txtFunctions:plotspecs.mplotvalidation.mcalculateerrors.mWorkspaces (Used by functions above):calibration.matvalidation.mat<br><b>Figure 3 Data - Irradiance response curves for circadian phase shifting in C57 wild-type mouse</b>Figure 3 - raw data.xlsx<br><b>Figure 4 Data - Cross-species α-opic EDIs across different light sources</b>Figure 4 - raw data.xlsxFigure 4 - SolarAngle.RFigure 4 - SolarAngle.Rdata<br><b>Supplementary Figure 1 - Pre-Receptoral Filtering Data</b>Pre_R_Filter-Cornea-1-Norm_cornea_trans_data.csvPre_R_Filter-Cornea-2-Transf_Norm_Spline_Norm_cornea_trans_data.csvPre_R_Filter-Cornea-2-Transf_Norm_SplineCubic_Norm_cornea_trans_data.csvPre_R_Filter-Cornea-3-cornea.trans.data.csvPre_R_Filter-Lens-1-Norm_lens_trans_data.csvPre_R_Filter-Lens-2-Transf_Norm_Spline_Norm_lens_trans_data.csvPre_R_Filter-Lens-2-Transf_Norm_SplineCubic_Norm_lens_trans_data.csvPre_R_Filter-Lens-3-lens.trans.data.csvPre_R_Filter-Vitreous-1-Norm_vitreous_trans_data.csvPre_R_Filter-Vitreous-2-Transf_Norm_Spline_Norm_vitreous_trans_data.csvPre_R_Filter-Vitreous-2-Transf_Norm_SplineCubic_Norm_vitreous_trans_data.csvPre_R_Filter-Vitreous-3-vitreous.trans.data.csv<br><br>