Dataset for journal article "Soft Matter Self-Assembly: From Droplets to Myelin Figures"

----------------------------------------------------------------------------------------------------------------------------------------Dataset for article "Soft Matter Self-Assembly: From Droplets to Myelin Figures"---------------------------------------------------------------------------------------------------------------------------------------- * ReadMe version: 1.0 (2026-08-11)* Dataset version: 1.0 (2026-08-11)* Dataset DOI: 10.5281/zenodo.21619314 --------------------------------------------------------------------CONTACT--------------------------------------------------------------------* Nina Novakova* [e-mail]* [phone]* ORCID: 0000-0002-4622-6887* Dept. of Chemical Engineering, Faculty of Chemical Engineering, University of Chemistry and Technology, Prague* Technicka 5, 166 28, Prague 6, Czech Republic ______Creators______* Nina Novakova (0000-0002-4622-6887; University of Chemistry and Technology, Prague), [Writing – original draft, Methodology, Investigation, Data Manager]* Jan Machacek (0000-0002-5092-1129; University of Chemistry and Technology, Prague), [Methodology]* Matan Mussel (0000-0002-8023-7619; University of Haifa), [Writing – original draft, Methodology]* Jens Vinge Nyygard (0000-0003-2442-1443; Aarhus University), [Writing – original draft, Software, Investigation]* Jitka Čejková (0000-0002-3480-2226; University of Chemistry and Technology, Prague), [Writing – original draft, Supervision, Funding acquisition, Conceptualization] --------------------------------------------------------------------DATA AVAILABILITY AND ACCESS INSTRUCTIONS--------------------------------------------------------------------* The dataset is openly accessible under the DOI listed above. --------------------------------------------------------------------LICENSE--------------------------------------------------------------------______ReadMe file license______* ReadMe by Nina Novakova is licensed under CC BY 4.0* License information: https://creativecommons.org/licenses/by/4.0/ ______Dataset license______* Dataset for article "Soft Matter Self-Assembly: From Droplets to Myelin Figures" by Nina Novakova, Jan Machacek, Matan Mussel, Jens Vinge Nyygard and Jitka Cejkova is licensed under CC BY 4.0* License information: https://creativecommons.org/licenses/by/4.0/ --------------------------------------------------------------------DESCRIPTION AND METHODOLOGY-------------------------------------------------------------------- ______About the dataset______The dataset contains the primary experimental and derived data used for the quantitative and visual analysis presented in the article. It includes high-quality microscopy video recordings corresponding to the Supporting Information Movies, documenting the time evolution of decanol droplets, formation of anisotropic regions, droplet deformation, and myelin figure growth under different experimental conditions. The dataset further contains time-resolved image-analysis data used to generate Figure 3 and Supporting Figures S1–S3, specifically measurements of the total anisotropic area extracted from individual video frames as a function of time for different sodium decanoate concentrations, pH conditions, and added salts. For Figure 4, the dataset contains the raw evaporation measurements from five independent replicates for each experimental condition, together with the calculated mean evaporation rates, standard deviations, remaining solution volumes, and corresponding sodium decanoate concentrations as a function of time. ______Ethics______No part of our research project require approval by the ethics board under the Czech Republic legal system. None of the data are considered to be sensitive or personal. ______Sample preparation______Aqueous sodium decanoate solutions of different concentrations and pH conditions were prepared in deionized water, with NaCl, NaBr, or NaI added where applicable. For each experiment, 76 µL of the aqueous solution was placed on a 1 cm circular coverslip, followed by a 0.72 µL decanol droplet. Experiments were performed at room temperature (22.5 °C). ______Methods of data collection______* Microscopy video recordings: HW: Nikon ECLIPSE E400 POL polarizing microscope equipped with a Nikon DS-U2/L2 5MPX CCD camera; complementary custom polarizing microscopy setup with a Navitar 12X Zoom System and Bresser MikroCam camera. acquisition: experiments were recorded in real time during spontaneous evaporation at room temperature (22.5 °C), using bright-field and crossed-polars microscopy. * Evaporation data (Figure 4): acquisition: evaporation times were measured for sodium decanoate solutions with initial concentrations of 5, 10, 20, 40, and 80 mM under basic and unadjusted-pH conditions. Five independent replicates were performed for each condition. ______Methods of data processing______* Image analysis data (Figure 3 and Figures S1–S3): Microscopy videos were analysed frame-by-frame. Anisotropic regions were identified by light scattering against the dark background, and the total anisotropic area was quantified as a function of time. The onset of anisotropy was defined as the first frame in which localized optical signals became visually detectable.* Evaporation and concentration data (Figure 4): Mean evaporation times and standard deviations were calculated from five replicates. Evaporation rates were calculated from the initial aqueous volume (76 µL) and mean evaporation time. The remaining solution volume and corresponding sodium decanoate concentration were subsequently calculated as a function of time assuming progressive solvent loss during evaporation. The concentration profiles in Figure 4 were calculated using the mean evaporation rates, with variability derived from the standard deviations of the replicate measurements. --------------------------------------------------------------------DATASET STRUCTURE--------------------------------------------------------------------├── 00_ReadMe.txt├── Figure 3.zip│ ├── 10mM_NaD_basic_pH.csv│ ├── 10mM_NaD_unadjusted_pH.csv│ ├── 20mM_NaD_basic_pH.csv│ ├── 20mM_NaD_unadjusted_pH.csv│ ├── 40mM_NaD_basic_pH.csv│ ├── 40mM_NaD_unadjusted_pH.csv│ ├── 5mM_NaD_basic_pH.csv│ ├── 5mM_NaD_unadjusted_pH.csv│ ├── 80mM_NaD_basic_pH.csv│ └── 80mM_NaD_unadjusted_pH.csv├── Figure 4.zip│ ├── NaD_basic_pH.csv│ └── NaD_unadjusted_pH.csv├── Figure S1.zip│ ├── 10mM_NaD_0.1mM_NaCl_basic_pH.csv│ ├── 10mM_NaD_0.1mM_NaCl_unadjusted_pH.csv│ ├── 10mM_NaD_100mM_NaCl_basic_pH.csv│ ├── 10mM_NaD_100mM_NaCl_unadjusted_pH.csv│ ├── 10mM_NaD_10mM_NaCl_basic_pH.csv│ ├── 10mM_NaD_10mM_NaCl_unadjusted_pH.csv│ ├── 10mM_NaD_1mM_NaCl_basic_pH.csv│ └── 10mM_NaD_1mM_NaCl_unadjusted_pH.csv├── Figure S2.zip│ ├── 10mM_NaD_0.1mM_NaBr_basic_pH.csv│ ├── 10mM_NaD_0.1mM_NaBr_unadjusted_pH.csv│ ├── 10mM_NaD_100mM_NaBr_basic_pH.csv│ ├── 10mM_NaD_100mM_NaBr_unadjusted_pH.csv│ ├── 10mM_NaD_10mM_NaBr_basic_pH.csv│ ├── 10mM_NaD_10mM_NaBr_unadjusted_pH.csv│ ├── 10mM_NaD_1mM_NaBr_basic_pH.csv│ └── 10mM_NaD_1mM_NaBr_unadjusted_pH.csv├── Figure S3.zip│ ├── 10mM_NaD_0.1mM_NaI_basic_pH.csv│ ├── 10mM_NaD_0.1mM_NaI_unajusted_pH.csv│ ├── 10mM_NaD_100mM_NaI_basic_pH.csv│ ├── 10mM_NaD_100mM_NaI_unajusted_pH.csv│ ├── 10mM_NaD_10mM_NaI_basic_pH.csv│ ├── 10mM_NaD_10mM_NaI_unajusted_pH.csv│ ├── 10mM_NaD_1mM_NaI_basic_pH.csv│ └── 10mM_NaD_1mM_NaI_unajusted_pH.csv├── Movies.zip│ ├── SM1_high_quality.mp4│ ├── SM2_high_quality.mp4│ ├── SM3_high_quality.mp4│ └── SM4_high_quality.mp4 --------------------------------------------------------------------FILENAME STRUCTURE--------------------------------------------------------------------* Figure 3: [NaD concentration]_NaD_[pH].csv Example: 10mM_NaD_basic_pH.csv * Figures S1–S3: [NaD concentration]_NaD_[salt concentration]_[salt]_[pH].csv Example: 10mM_NaD_1mM_NaCl_basic_pH.csv * Figure 4: NaD_[pH].csv Example: NaD_unadjusted_pH.csv * Supporting movies: SM[number]_high_quality.mp4 Example: SM2_high_quality.mp4 * Abbreviations: NaD = sodium decanoate salt = NaCl, NaBr, or NaI pH = basic_pH or unadjusted_pH Concentrations are given in mM. --------------------------------------------------------------------FILE TYPES & FORMATS, SW TO OPEN AND DIMENSIONS & UNITS--------------------------------------------------------------------* Image analysis original format: .CSV Dimensions and units in the columns are as follow:1) Item2) ID3) ND.T4) ND.M5) ND.Z6) NumberOfObjects7) BinaryAreaFraction 8) BinaryArea [µm²]9) AverageIntensity* Videos original format: .MP4 SW: NIS-Elements