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opencc-by-4.0Dec 2023View details →

Ostwald_colour-atlas_reflectance-measurements

This repository contains the results of visible reflectance spectroscopy that have been performed on three colour atlases in the 1920s made by Verlag Unesma under the supervision of Wilhelm Ostwald. These colour atlases are currently held at the Rijksmuseum Research Library in Amsterdam under the following inventory numbers (339D32 / 339D33 and GF386G3). The atlases are physical representations of the colour space developed by Wilhelm Ostwald in the 1910s. They are composed of hundreds of small swatches of paint, where each one represents a specific colour and can be characterised by a hue number (ranging from F01 to F24) and a two-letter code that indicates the position of the swatch in the Ostwald colour space. In addition to photographs stored in the zip file, each colour swatch were measured three times with a spectrophotometer from Konica Minolta (CM-2600d), where the UV radiation had been cut-off. Subsequently, the mean and standard deviation were calculated and stored inside the Ostwald_DB.csv file. The Lab values were calculated with the help of the Colour Science python package (https://www.colour-science.org/) according to a 10° observer and a D65 illuminant.A Jupyter notebook along with a python script have been created to help users to manipulate the data contains in the Ostwald_DB.csv file.

opencc-by-sa-4.0Dec 2024View details →

Arbitrary and active colouring of solar cells with negligible loss of efficiency

This is all the data associated with the journal article. The dataset is organized on a figure-by-figure basis within a compressed ZIP file for ease of access. <ul> <li>Graph Data: Available in <code>.txt</code> and <code>.xlsx</code> formats, providing raw and processed data used to generate the figures.</li> <li>Images: All images included in the article are provided in <code>.jpg</code> format.</li> <li>Figure Graphs: All complete figure graphs are supplied as <code>.pdf</code> files.</li> </ul>

opencc-by-4.0Nov 2021View details →

The genetic basis of structural colour variation in mimetic Heliconius butterflies

Raw USAXS data from discal region of Heliconius butterflies (H. erato and H. melpomene). The data comes from wings of individuals of two intercross families, one from each species and was used to estimate scale structure variation and a QTL analysis.

opencc-by-4.0Apr 2022View details →

The true colour of water at Upper Penticton Creek -- data and scripts

These files contain data and scripts used in the analysis for an article titled " Streamwater colour in snow-dominated headwater catchments: natural variability and the effects of forest harvesting," by R.D. Moore, R.D. Winkler and G.D. Hope, to be published in Hydrological Processes. The file upc_water_colour.csv contains the colour data as expressed in true colour units (TCU). The first line is a comment that should be skipped, noting that entries of "creek dry" have been manually edited out of this version of the data. All other editing was performed in the script named 0_wrangle_data.r. The columns are  as follows: <ul> <li>Year - year of observation as four-digit value (e.g., 2005)</li> <li>Date - date as dd-Mmm (e.g., 15-May)</li> <li>Day - day of year (e.g., 1-Jan = 1)</li> <li>Cut241 - cumulative area harvested in 241 Creek as a percentage of catchment area</li> <li>Cut242 - cumulative area harvested in 241 Creek as a percentage of catchment area</li> <li>wc_240 - water colour (TCU) in 240 Creek</li> <li>wc_241 - water colour (TCU) in 241 Creek</li> <li>wc_242 - water colour (TCU) in 242 Creek</li> </ul> The scripts are numbered in the order of dependency. For example, a script beginning 0_ should be run before running a script beginning 1_. The scripts are set up to be run within an R project on the local hard drive. The project directory should contain a folder named data that contains upc_water_colour.csv. All other data sets are accessed programmatically within the scripts. Brief descriptions of the scripts follow: <ul> <li>0_wrangle_data.r - Uses functions in the tidyhydat package to access streamflow data; corrects some erroneous entries for the water colour data; merges streamflow and colour data sets for further analysis.</li> <li>0_wrangle_spatial_data.r - Accesses digital elevation models (DEMs) catchment boundaries and soil map from the Upper Penticton Creek data repository (zenodo); computes various topographic indices from the DEMS; saves processed files on the local hard drive in a folder named dem, located within the project root folder.</li> <li>1_soil_maps.r - Generates a map of the gleyed soil units (Figure 2).</li> <li>1_q_pca_trimonthly.r - Performs a paired-catchment analysis of the streamflow response to logging using a tri-monthly time step; generates plots of observed and predicted streamflow for 241 and 242 Creeks (Figure 3).</li> <li>1_wc_analysis_post_140.r - Analyses water colour variations and response to logging; generates figures used in the article; analysis focuses on days 145 and on each year due to lack of data for earlier dates in the pre-harvest period.</li> <li>1_catchment_characteristics.r - Computes topographic indices for each catchment and generates a table (Table 1) that contains a summary of catchment characteristics.</li> <li>ch_saga_functions.r - Contains functions that use RSAGA package to process the digital elevation models to remove sinks and calculate contributing area grids.</li> </ul>

opencc-by-4.0Jan 2022View details →

Data for "Why Bananas Look Yellow: The Dominant Hue of Object Colours"

These extended supplementary materials go with the article: <ul> <li>Witzel & Dewis (2022) Why Bananas Look Yellow: The Dominant Hue of Object Colours. Vision Research.</li> </ul> A. SURVEYS A pdf-printout for each of the three Qualtrics surveys illustrates details of the procedure. The layout may have been slightly different in Qualtrics (e.g., wide screen vs portrait display). Also note that the second and third surveys feature a few questions that were unrelated to the dominant-hue study (identifying a grey image). B. STIMULI The images used in Experiments 1-3, and the animated images used as cues to colour changes in Experiment 3 are packed in zip-files. C. CODE The Matlab code "onehue_maker.m" is a function that implements the dominant-hue algorithm to produce one-hue images like those in the experiments. To try out the program, the photo of the banana and the mask identifying its background are also uploaded (= first and second input to the function). The purpose of the mask is to remove the background colour from the dominant-hue computations.    D. DATA The uploaded data is not completely raw but has been polished in the following ways: <ul> <li>Pilot data has been removed (i.e., meaningless data from us and our students to try out, check and polish the survey).</li> <li>Incomplete runs have been removed (i.e., when participants quitted before completing the whole survey).</li> <li>Data irrelevant to this study have been removed (date and time; grey-identification task [see above]).</li> </ul> There are 3 sheets with data and three sheets with stimulus specifications for each of the three experiments. The stimulus specifications include the measures used in the analyses in "Other Factors" in the Discussion of Experiment 3.  Columns in the Data sheets are: <ul> <li>Participant information: recruit (soc med = social media; UG pool = undergraduate students, prolific = https://www.prolific.co/); coldef = Colour deficiencies (1 Yes, 2 No according to test, 3 No without test, 4 Don't know); sex (1 male, 2 female, 3 other); age (in years), and duration (in minutes).</li> <li>Main data: Column labels are composed of the following elements, separated by an underscore (_): <ul> <li>The first 3-5 letters of the object name: ban = banana, car = carrot, cher = cherry, dress = #theDress, fro = frog, gra = grapes, lem = lemon, let = lettuce, ora = orange, pig, ros = rose, shoe = #theShoe, stra = strawberry, zuc = zucchini/courgette.</li> <li>A symbol indicating the stimulus condition: 1 = One-Hue, m = Minus-Hue Rotation, p = Plus-Hue Rotation.</li> <li>A number identifying the measure: 1 = responded position; 2 = accuracy of the response (1 = correct); 3 = response time (in sec), 4 (Experiment 2-3) = confidence rating (between 0 and 100), 5 (Experiment 3) = cue confidence (cf. Figure 11.a).</li> <li>For inverted colours (Experiment 3), the column label starts with an "i" (for inverted).</li> </ul> </li> <li>Practice Trials: Start with the prefix ex (for example) followed by an underscore (_) and the ID of the object; otherwise, data as in main trials.</li> <li>Catch Trials (Experiment 2-3): Start with object name "d" for disk, otherwise, data as in main trials. </li> <li>Eidolon Guesses (Experiment 2): Start with "guess" followed by the object ID (see main trials) followed by a number indicating the measure: 1 = response (yes/no), 2 = confidence (if positive response). In case of a positive response, the text entries are save in the variables starting with guess_txt.</li> </ul> Columns in the stimulus sheets are: <ul> <li>DomHue: Angle of the dominant hue (cf. Figure 3); as principal components are relative to the average, the angle is relative to the average, not the origin.</li> <li>pole1 and pole2: Poles of the dominant hue direction. "pole1_rgb" provides corresponding RGBs for illustration (cf. Figure 1).</li> <li>ChromaRescaled: Rescale Factor (see Experiment 3).</li> <li>MaxChr: Maximum chroma of the colour distribution in CIELUV.</li> <li>M: Average chromaticities (u*, v*) of the colour distribution.</li> <li>pc: Coefficients of the first principal component for u* and v*.</li> <li>latent & expl: Absolute and relative explained variance, respectively; second column corresponds to orthogonal variance.</li> <li>hueM & hueSD: Average and standard deviation of the hue of the colour distribution (cf. Figure 3).</li> <li>rot_minus, rot_plus: The hue rotations in the rotated-hue condition (constant minus or plus 5, except for #theShoe).</li> <li>oog_1hue, oog_plus, oog_minus: The proportion of out-of-gamut values.</li> <li>oogdist_1hue, oogdist_minus, oogdist_plut: Average difference between clipped and original images (in CIELUV).</li> <li>Mshift_1hue, Mshift_minus, Mshift_plus: Average and standard deviation of chromaticity shift due to the experimental manipulation (cf. Figure 5 and Table S1).</li> <li>Mhueshift_1hue, Mhueshift_minus, Mhueshift_plus: Average and standard deviation of hue shift in CIELUV (cf. Figure S4.d-f and Table S2).</li> <li>Lab_shift_1hue, Lab_shift_minus, Lab_shift_plus: Average and standard deviation of chromaticity shift in CIELAB (cf. Figure S4.a-c and Table S1).</li> <li>Lab_hueshift_1hue, Lab_hueshift_minus, Lab_hueshift_plus: Average and standard deviation of hue shift in CIELAB (cf. Figure S4.g-i and Table S2).</li> <li>Lab_Mhue: Hue of the average colour in CIELAB</li> <li>Lab_hueM & Lab_hueSD0: Average and standard deviation of the CIELAB hue distribution.</li> <li>huehist0: CIELUV hue histogram; each entry corresponds to the frequencies for 72 bins of 5-deg (cf. Figure 3); the zero indicates that the hue is relative to the origin, not to the average chromaticity.</li> </ul>

opencc-by-4.0Nov 2017View details →

Data set for the paper: Intercomparison of ocean colour algorithms for picophytoplankton carbon in the ocean

This dataset contains the phytoplankton carbon,Cphy, obtained from in situ counts of phytoplankton cells using ow cytometry presented in the paper [13]. The location and time of the samples have been matched with the satelllite data in the Ocean  Colour Climate Change Initiative (OCCCI) dataset. This dataset is the match between the in situ Cphy and the products from using the OCCCI inputs (i.e. chlorophyll concentration, backscattering coecient, phytoplankton absorption) with 6 different algorithms. This document describes the dataset details: data sources, computation of Cphy, selected data.

opencc-by-4.0Oct 2021View details →

Rainbow colour maps remain widely used in the geosciences

This dataset is the result of a systematic survey of scientific publication to investigate the extent to which rainbow colour maps are used in geoscience publications. Papers were surveyed from five journals - Earth System Dynamics (ESD), Geophysical Research Letters (GRL), Ocean Science (OS), Solid Earth (SE) and The Cryosphere (TC) - for the years 2005, 2010, 2015 and 2020. The final data set includes the pre-existing Stoelzle and Stein (2021) survey data for HESS, which is independently available at https://doi.org/10.5281/zenodo.5145746 (Stoelzle, 2021). All papers (n=2638) were classified according to the type of colour encoding used. year = year of publication (YYYY) title = full paper title authors = list of authors seperated by semi-colon n_authors = number of authors col_code = color-issue classification (see below) volume = Journal volume start_page = first page of paper (where available) end_page = last page of paper (where available) base_url = url to access the paper on the journal website  filename = file name of the PDF version of the paper Color classification is stored in the col_code variable with: 0 = Colour visualisations with no colour issues 1 = At least one visualisation with red-green issues 2 = At least one visualisation with a rainbow colour map bw = Black and white paper

opencc-by-4.0Oct 2023View details →

Multi-colour SMLM images of untreated and drug-treated Escherichia coli (LB, exponential phase)

This dataset and CARE model is part of the publication "Transertion and cell geometry organize the Escherichia coli nucleoid during rapid growth". It contains all SMLM images that were used for the publication, as well as the single-cell regions of interest for analyses. Cells were grown to exponential phase in LB Lennox and antibiotics were added for 0-60 min. Cultures were then chemically fixed, permeabilised and imaged for the nucleoid (JF646-Hoechst) and membranes (Nile Red) using PAINT. The strain (NO34) expresses a MreBsw-sfGFP fusion protein from the native chromosomal locus. It was a kind gift from Zemer Gitai (<a href="http://doi:10.1016/j.bpj.2016.07.017">Ouzounov et al., 2016</a>). More information can be found in the publication.

opencc-by-3.0Jan 2017View details →

Fig. 26. Habitus and live colouration. A in Revision of the Australian millipede genus Pogonosternum Jeekel, 1965, with descriptions of two new species (Diplopoda, Polydesmida, Paradoxosomatidae)

Fig. 26. Habitus and live colouration. A. Pogonosternum nigrovirgatum (Carl, 1902), ♂ from Adams Creek Nature Conservation Reserve (SMNG VNR016989). B. P. adrianae Jeeker, 1982, ♂ from Grand Ridge Road (NMV K-13349). C. P. laetificum Jeeker, 1982, ♂ from Toolangi State Forest, Two Hills Road. D. P. jeekeli Decker, sp. nov., ♂ from Warby-Ovens National Park, Taminick Gap Road. E. P. montanum Decker, sp. nov., ♂ (left, NMV K-12183) and ♀ (right, NMV K-13351) from Linden Roth Drive. Scale bars = 5 mm.

Fig. 21 in A revision of the genus Cicynethus Simon, 1910 (Araneae, Zodariidae), a tale of colour patterns

Fig. 21. Distribution map: Cicynethus acer sp. nov. (●); C. decoratus (Lawrence, 1952) comb. nov. (★); C. floriumfontis Jocqué, 1991 (■); C. peringueyi Simon, 1910 (▲); C. subtropicalis (Lawrence, 1952) comb. nov. (Ä).

Fig. 20. A in A revision of the genus Cicynethus Simon, 1910 (Araneae, Zodariidae), a tale of colour patterns

Fig. 20. A. Cicynethus cf. subtropicalis (Lawrence, 1952) comb. nov., ♀, subadult, dorsal view (Port Elisabeth, MNHN AR 10010). B. As preceding, lateral view. C. Cicynethus peringueyi Simon, 1910, holotype, subadult ♀ (MNHN AR 3293), habitus, dorsal view. D. As preceding, lateral view. E. Cicynethus acanthopus Simon, 1910, holotype, subadult ♀ (MNHN AR 3290), dorsal view. F. As preceding, lateral view. Scale bars: 2 mm.

Fig. 19 in A revision of the genus Cicynethus Simon, 1910 (Araneae, Zodariidae), a tale of colour patterns

Fig. 19. Cicynethus subtropicalis (Lawrence, 1952) comb. nov., male palps. A–B. NCA 2007/303. C–D. NCA 2016/842. A, C. Ventral views. B, D. Retrolateral views. Scale bar: 0.5 mm.

Fig. 17 in A revision of the genus Cicynethus Simon, 1910 (Araneae, Zodariidae), a tale of colour patterns

Fig. 17. Cicynethus subtropicalis (Lawrence, 1952) comb. nov., ♀, epigynes. A. Holotype (NM 1161). B. NCA 2005/1860. C, H. RMCA_ARA_211745. D, G. NCA 2007/3556. E–F. NCA 2000/438. A–E, G–H = ventral views; F = dorsal view. Scale bars: 0.5 mm.

Fig. 14 in A revision of the genus Cicynethus Simon, 1910 (Araneae, Zodariidae), a tale of colour patterns

Fig. 14. Cicynethus mossambicus sp. nov., genitalia drawings. A–B. ♂, holotype (RMCA_ARA_245528). C. ♀, paratype (RMCA_ARA_245530). A. Male palp, ventral view. B. As preceding, retrolateral view. C. Epigyne, ventral view. Abbreviations: DTP = distal tegular protrusion; E = embolus; MA = median apophysis. Scale bars: 0.2 mm.

Fig. 13 in A revision of the genus Cicynethus Simon, 1910 (Araneae, Zodariidae), a tale of colour patterns

Fig. 13. Cicynethus mossambicus sp. nov. A–C. ♂, holotype (RMCA_ARA_245528). D–F. ♀, paratype (RMCA_ARA_245530). A. Male palp, ventral view. B. As preceding, retrolateral view. C. Distal tip of RTA, retrolateral view. D. Epigyne, ventral view. E. Epigyne, digested, ventral view. F. As preceding, dorsal view. Abbreviations: DTP = distal tegular protrusion; E = embolus; MA = median apophysis. Scale bars: 0.2 mm.

Fig. 11 in A revision of the genus Cicynethus Simon, 1910 (Araneae, Zodariidae), a tale of colour patterns

Fig. 11. Cicynethus floriumfontis Jocqué, 1991, genitalia drawings. A–B. ♂ (NCA 95/394). C. ♀ (NCA 95/243). A. Male palp, ventral view. B. As preceding, retrolateral view. C. Epigyne, ventral view. Scale bars: 0.2 mm.