STE CECs: Coastal Radon Time-series v1.0

Description: Radon in coastal water time-series data and accompanying water and meteorological parameters collected from 27 different locations globally. These data were used to train and validate two deep learning models.

Data for each study site were provided by authors - please see the "References" sheet in the document for the original source and citation of the data.

Associated code can be found here: 10.5281/zenodo.7581389

Associated publication accepted (in press) in Water Resources Research.

Column names in the "data" sheet are as follows:

datetime = date and time of measurement (local time, MM/DD/YY HH:MM)

Location = name of location of measurement (data = string data)

Aquifer_type =  categorical aquifer type (data = string data, options: rocky, sandy, or muddy).

depth_m = depth of water column (m). Measured with CTD probe or similar.

ctdtemp_C = water temperature (degrees Celsius) at point of radon measurement. Measured with CTD probe or similar.

ctdsal = water salinity (unitless) at point of radon in water measurement. Measured with CTD probe or similar.

windsp_ms = wind speed, 10 m above sea level (units = m/s). Data from wunderground.com from closest weather station for all sites except for Kīholo Bay, HI, USA (data sourced from RAWS USA Climate Archive, Puu Waawaa station: https://raws.dri.edu/cgi-bin/rawMAIN.pl?hiHPUW) and FSUCML, FL, USA (data sourced from FAWN Carrabell Station: https://fawn.ifas.ufl.edu/data/reports/)

airtemp_C = air temperature (units = degrees Celsius). Data from wunderground.com from closest weather station for all sites except for Kīholo Bay, HI, USA (data sourced from RAWS USA Climate Archive, Puu Waawaa station: https://raws.dri.edu/cgi-bin/rawMAIN.pl?hiHPUW) and FSUCML, FL, USA (data sourced from FAWN Carrabell Station: https://fawn.ifas.ufl.edu/data/reports/)

Rn_Bqm3 = radon in water (units = Bq/m^3). Measured with Durridge RAD7 or similar radon-in-air detector or underwater gamma spectrometer (e.g., Dulai et al., 2016: https://doi.org/10.1007/s10967-015-4580-9).