Published May 9, 2026 | Version v1

High‐resolution bathymetry and water quality dataset from Guana Lake in Northeast Florida, USA

  • 1. ROR icon University of Florida
  • 2. Guana Tolomato Matanzas National Estuarine Research Reserve
  • 3. University of North Florida

Description

The dataset comprises high-resolution measurements of water quality, water depth, and bathymetry collected in Guana Lake  (Florida, USA) during a four-day field survey conducted on 19–21 April and 2 May 2023.

Water quality parameters include water temperature (°C), specific conductivity (µS cm⁻¹), salinity (ppt), dissolved oxygen (DO; mg L⁻¹), pH, turbidity (FNU), chlorophyll-a (RFU), and fluorescent dissolved organic matter (fDOM; RFU).

The dataset is organized into the following zip archives:

  • txt.zip: Contains the georeferenced datasets collected in the lake, including timestamp, latitude, longitude, and measured values for all parameters.

  • ascii.zip: Contains gridded ASCII raster files of water quality parameters, bed elevation, and water depth derived from the datasets in txt.zip. The spatial resolution of the raster files is 10 m.

  • pdf.zip: Contains vector-based PDF maps generated from the ASCII raster files using ArcGIS Pro.

  • prodss.zip: Contains water quality data collected using a handheld YSI ProDSS instrument, used to validate the autonomous survey data provided in txt.zip.

  • metadata.zip: Contains metadata files describing the structure, units, and content of the datasets included in txt.zip.

  • matlab.zip: Contains the MATLAB scripts used to generate the gridded ASCII raster files from the datasets in txt.zip and to perform cross-validation between the autonomous measurements (txt.zip) and the handheld ProDSS data (prodss.zip).

If you use these data, please cite:
Pinton, D., Canestrelli, A., Dix, N., & Sansom, L. (2026). High‐resolution bathymetry and water quality dataset from an impounded lake in Northeast Florida, USA. Data in Brief, 112838.

https://doi.org/10.1016/j.dib.2026.112838

Files

ascii.zip

Files (38.4 MB)

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