We present a new versatile datalogger that can be used remotely for a wide range of applications in geosciences such as environmental and groundwater monitoring or in applied geophysics. The recorded signals will be processed using a new software approach, which will improve the data quality for very poor signal-to-noise ratios. We show this improvement by comparing it with traditional software-algorithm-processing synthetic data sets and real data collected in the field.