Replication Data for: The effect of prior exposure on the lightfastness of early synthetic dyes on textiles

<h3>Overview</h3>
<p>This dataset provides calculated values of the light dose causing a just-noticeable difference (JND) in colour as a function of prior light exposure for approximately 100 dyed textiles. It quantifies the lightfastness of residual colours that remain after damage caused by past illumination. The analysis uses a published dataset [1] of colour measurements versus light dose for historic textiles dyed with early synthetic colourants during the period of 1874–1905.</p>
<p>Detailed information regarding the samples and their sources can be found by cross-referencing ID numbers in the attached files with those of the previous study. Note that the classification of dye composition in the source data was based on cross-referencing trade name and manufacturer with the 1st ed. of the Colour Index. The material characterization may be validated or refined with ongoing chemical analyses.</p>
<h3>Files</h3>
<p>The following files are included in the dataset:</p>
<ul>
<li>01 - Dose to JND vs prior exposure (Test batch 1_Samples 1-27).xlsx</li>
<li>02 - Dose to JND vs prior exposure (Test batch 2_Samples 32-58).xlsx</li>
<li>03 - Dose to JND vs prior exposure (Test batch 3_Samples 63-89).xlsx</li>
<li>04 - Dose to JND vs prior exposure (Test batch 4_Samples 94-120).xlsx</li>
<li>05 - Dose to JND vs prior exposure - all data resampled.xlsx</li>
<li>06 - Example Calculations.xlsm</li>
<li>07 - Blue Wool Ratings - Figure 6.xlsx</li>
</ul>
<p>Files 1–4 give the calculated light dose causing a JND for the residual colour as a function of prior exposure. Each file represents a selection of samples from one of the four test batches. The fifth file contains a summary of results for all samples, with data resampled at a set of common dose values. This was necessary to generate Figure 6 in the related manuscript.</p>
<p>The sixth file provides examples of how the calculations were performed using a macro-enabled Excel spreadsheet (.xlsm). The document contains VBA code for determining colour difference with the CIEDE2000 (ΔE<sub>00</sub> ) method [2-4], and performing linear interpolation [5].</p>
<h3>Resources</h3>
<p><small> [1] Hagan, Eric, Itxel Castro-Soto, Marianne Breault, and Jennifer Poulin. 2022. Replication Data for: The lightfastness of early synthetic organic dyes. Harvard Dataverse. <a href="https://doi.org/10.7910/DVN/JQMYFM"> https://doi.org/10.7910/DVN/JQMYFM </a>. </small></p>
<p><small> [2] Sharma G, Wu W, Dalal EN. The CIEDE2000 color-difference formula: implementation notes, supplementary test data, and mathematical observations. Color Res Appl. 2005;30(1):21–30. </small></p>
<p><small> [3] brucelindbloom.com. Delta E (CIE 2000) [Internet]. March 24, 2016 [cited July 6, 2022]. Available from: <a href="http://www.brucelindbloom.com/index.html?ColorDifferenceCalcHelp.html"> http://www.brucelindbloom.com/index.html?ColorDifferenceCalcHelp.html </a>. </small></p>
<p><small> [4] wikipedia.org. Color difference [Internet]. March 24, 2016 [cited July 6, 2022]. Available from: <a href="https://en.wikipedia.org/wiki/Color_difference"> https://en.wikipedia.org/wiki/Color_difference </a>. </small></p>
<p><small> [5] wellsr.com. Powerful Excel Linear Interpolation Function with VBA [Internet]. March 24, 2016 [cited July 6, 2022]. Available from: <a href="https://wellsr.com/vba/2016/excel/powerful-excel-linear-interpolation-function-vba/"> https://wellsr.com/vba/2016/excel/powerful-excel-linear-interpolation-function-vba/ </a>. </small></p>