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CK14-e ASV Experimental Time-Series Dataset

Overview

Experimental dataset collected during a campaign conducted at the CNR-INM "Emilio Castagneto" towing tank (Rome) on the Codevintec CK14-e autonomous surface vehicle (ASV).

The dataset includes raw and processed time-series data, as well as synchronized experimental videos.

DOI: https://zenodo.org/records/17315035

Experimental Setup

Experiments were conducted in the CNR-INM towing tank using a moored configuration of the CK14-e ASV.

Test conditions include:

  • Irregular waves

  • Pierson–Moskowitz spectrum

  • Regular waves

  • wavelength ratios: λ/L = 1, 1.5, 2, 3

Dataset Content

The dataset is organized into three main components:

🎥 Raw Video Data

File: ck14gopro_videos.zip

Contains GoPro Hero 7 recordings of the experiments:

  • c15.cam0.avi, GH010194.mp4, GH010195.mp4
    → moored tests in irregular waves (Pierson–Moskowitz)

  • GH010196.mp4
    → moored tests in regular waves (λ/L = 1, 1.5, 2, 3)

📡 Raw Sensor Data

File: ck14rawdata.zip

Includes measurements from onboard sensors and wave probes:

  • 250307_IRR_ss7_PM_moored_*
    → irregular wave tests (Pierson–Moskowitz)

  • 250307_REG_WP_PM_moored_1
    → regular wave tests (λ/L = 1, 1.5, 2, 3)

  • 250307_ZERO_*
    → calibration data for wave probes

📊 Post-Processed Data

File: ck14postprocessed.zip

Processed datasets ready for analysis:

  • ck14pp_c15_1, ck14pp_c16_1, ck14pp_c17_1
    → irregular wave tests

  • ck14pp_c18_1, ck14pp_c18_2, ck14pp_c18_3, ck14pp_c18_4
    → regular wave tests (λ/L = 1, 1.5, 2, 3)

Data Characteristics

  • Time-series signals from onboard instrumentation
  • Wave elevation measurements
  • Synchronized experimental video recordings
  • Calibration datasets for probe correction

Use Cases

  • System identification
  • Time-series modeling
  • Validation of numerical solvers
  • Machine learning for dynamical systems
  • Experimental benchmarking

Reproducibility

The dataset includes:

  • raw measurements
  • processed signals
  • calibration data

enabling reproducible analysis workflows and validation studies.