READ ME File For 'Dataset from The impact of water temperature on the erosion and deposition of Kaolin in fresh water'. Dataset DOI: https://doi.org/10.5258/SOTON/D3753 Date that the file was created: December, 2025 ------------------- GENERAL INFORMATION ------------------- ReadMe Author: Hachem Kassem, University of Southampton [ORCID ID: https://orcid.org/0000-0002-5936-6037] Date of data collection: January 2022 - May 2022. Information about geographic location of data collection: University of Southampton, U.K. Related projects: Some of these data were collected for G. Wenham's BSc dissertation, submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Oceanography at the University of Southampton. -------------------------- SHARING/ACCESS INFORMATION -------------------------- Licenses/restrictions placed on the data, or limitations of reuse: Recommended citation for the data: This dataset supports the publication: AUTHORS: Kassem, H., Wenham, G. and Amos, C.L. TITLE: Dataset from: The impact of water temperature on the erosion and deposition of Kaolin in fresh water JOURNAL: In Review with Scientific Reports PAPER DOI IF KNOWN: In Review -------------------- DATA & FILE OVERVIEW -------------------- This dataset includes a single MATLAB MAT-file format (.mat) datafile (Data_Kassemetal_TemperatureEffectsPaper.mat, 30.5MB), containing two data structures: (1) [ADV_data] pertaining to the velocimeter measurements (raw and processed) and (2) [SSC] comprising the calibrated, instantaneous suspended sediment concentration (SSC) data (obtained by calibrating OBS turbidity record against filtered water samples). Each of these contains data matrices corresponding to each temperature experiment. (1) The [ADV_data] structures (one for each temperature) include the raw (pre-processed) ADV records (Xvel, Yvel, Zvel and Zvel2 velocities, corresponding to the instantaneous records of streamwise (azimuthal/along-flow), transverse (radial) and vertical (measured twice) velocity components, respectively (all in m/s), together with their associated instrument correlations (corr_X, corr_Y, corr_Z, and corr_Z2). The [ADV] structure also provides the post-processed instantaneous mean flow velocity field (Velocity) and the streamwise, transverse and vertical turbulent components (instantaneous velocity fluctuations u’, v’, and w’, named u_turb, v_turb, and w_turb, all in m/s) derived through Reynolds decomposition (as described in the paper). (2) The [SSC] structure data contain the instantaneous Suspended Sediment mass Concentration (SSC, in mg/L) and the corresponding timestamp (in seconds). -------------------------- METHODOLOGICAL INFORMATION -------------------------- Description of methods used for collection/generation of data: This data file contains the experimental results used in this paper, obtained through flume experiments examining the impact of water temperature on the erosion and deposition of Kaolin in fresh water. The data were collected using a custom-built annular flume, equipped with a 10 MHz Nortek Vectrino Acoustic Doppler Velocimeter (ADV) and Seapoint turbidity STM II optical backscatter sensors. The experiments were conducted at the Coastal Processes Lab, School of Ocean and Earth Science, University of Southampton. The ADV measured three orthogonal components of flow (azimuthal (u), radial (v), and vertical (w)) at a frequency of 25 Hz. Quality control and processing of all ADV data were performed using a purpose written Matlab code as described in the paper. The raw data are provided. Methods for processing the data: The Velocity field and turbulent components (velocity fluctuations) are also provided. these are obtained following the methodology outlined in the paper. Raw data points were flagged if the failed a quality control criterion at a sensor velocity correlation threshold of 70%; and the replaced using a zero-phase moving average algorithm. The velocity time series were then de-spiked using the modified 3D phase-space method, axis rotated to account for sensor misalignment, then zero-meaned and detrended, and a Reynolds' decomposition applied to obtain the fluctuations. This approach is described in Kassem, H., et al. (2015). "Wave-induced coherent turbulence structures and sediment resuspension in the nearshore of a prototype-scale sandy barrier beach." Continental Shelf Research 109: 78–94.DOI: 10.1016/j.csr.2015.09.007 The mass sediment concentrations were derived from raw OBS data, recorded at 3 Hz; and were de-spiked using the phase-space method. These were calibrated against mass concentrations obtained from filtering 10 ml water samples taken at each increment of flow, through pre-weighed and ashed, 0.7 μm GF/F filters. The filters were dried to derive suspended mass and thus calculate the mass concentration (mass/volume). The obtained concentrations were regressed against the relevant de-spiked OBS outputs to obtained the reported SSC timeseries. Software- or Instrument-specific information needed to interpret the data: Mat files are compatible with Mathworks Matlab and the free GNU Octave software, and can be opened in Python. The data were collected and processed by H. Kassem, CL. Amos and G. Wenham. -------------------------- DATA-SPECIFIC INFORMATION -------------------------- The ADV data structure contains 8 data sub-structures, one pertaining to each temperature experiment. Each of these data sub-structures contains Preprocessed (raw) data and post-processed data. Number of cases: 8 Temperature experiments were conducted (10 to 24 degrees Celsius, increments at 2 degrees Celsius) Variable list: ADV variables: Pre-processed variables: Xvel: Instantaneous, streamwise (azimuthal/along-flow) velocity component | unit: m/s Yvel: Instantaneous, transverse (radial) velocity component | unit: m/s Zvel: Instantaneous, vertical (measured twice) velocity component | unit: m/s Zvel2: Instantaneous, vertical (measured twice) velocity component | unit: m/s corr_X: Vectrino Correlation (self-similarity) pertaining to Xvel corr_Y: Vectrino Correlation (self-similarity) pertaining to Yvel corr_Z: Vectrino Correlation (self-similarity) pertaining to Zvel corr_Z2:Vectrino Correlation (self-similarity) pertaining to Zvel2 Post-processed variables: Velocity: Instantaneous, mean flow velocity field | unit: m/s u_turb: Instantaneous, azimuthal turbulent component (velocity fluctuation) | unit: m/s v_turb: Instantaneous, radial turbulent component (velocity fluctuation) | unit: m/s w_turb: Instantaneous, vertical turbulent component (velocity fluctuation) | unit: m/s SSC variables: Concentrations are provided with 2 variables: massConc_mgL: Instantaneous, mass concentration | unit: mg/L timeseconds: Instantaneous time stamp | unit: seconds