Choose your platform
TOMST Lolly for Android
Lolly on your phone. TOMST Lolly for Android connects to your dataloggers through the TMD Adapter over USB-C, so you can configure devices and download data directly in the field - no laptop needed, and a month of data at 15-minute intervals comes off the logger in under three seconds. Soil moisture calibration now runs on the phone too, so the app covers the whole field workflow, from setting up a datalogger to finished vol% values.
In the field, without a laptop
Data
Connect your datalogger to the phone through the TMD Adapter over USB-C and download in the field. Once the download is complete, the data is saved on your phone as a CSV text file that you can share or transfer for analysis.
Only the data file labeled with the datalogger's serial number (e.g. data_96626360_2026_07_04_7). Any other files generated are for diagnostics only and do not contain the collected data.
Data file format - every column explainedTime Modes (data collection intervals)
By default, all dataloggers are set to Basic mode. You can change the mode from the "Change mode to" dialog, with the datalogger connected through the TMD Adapter.
Basic Mode
DefaultMeasurements are recorded every 15 minutes, on the quarter hour: 12:15, 12:30, 12:45, 13:00, and so on.
Meteo Mode
Measurements are recorded every 10 minutes, on the clock: 12:10, 12:20, 12:30, and so on.
Smart Mode
Measurements are recorded at the 10th, 15th, 20th, 30th, 40th, 45th, 50th, and 60th minute of every hour.
Intensive Mode
Measurements are recorded every 5 minutes, on the clock: 12:05, 12:10, 12:15, and so on.
Hourly Mode
Measurements are recorded every hour, on the hour: 12:00, 13:00, 14:00, and so on.
Experiment mode (1-minute interval) is no longer available in the Android app. Use Lolly for Windows if you need it.
Soil moisture calibration
All TMS dataloggers collect raw soil moisture values (~500-3600) that must then be converted into volumetric soil moisture (0-100 vol%). The Lolly Android app does that conversion on the phone, so data downloaded in the field is usable without going back to a desktop.
Important: the function uses pre-set soil types. For more precise values, calculate your own calibration curve from a soil sample. For details, see the TMS Calibration Handbook (PDF).
First, from the dropdown menu select the appropriate soil type. Note that the Default setting is recommended. See below for instructions on how to insert your own soil composition. Once you have selected the soil type, click "Calibrate" and the data displayed in column Hu (raw moisture signal ~500-3600) will be converted into volumetric soil moisture (0-100 vol%) in column vol%. You can then select "Export" to generate a file of converted data or "Calibrate directory" to convert all the data files (in CSV format) from a folder of your choosing.
Shift zero value
Aligns the vol% values if negative values are present.
Show Local time
Displays times converted to local time.
Custom soil moisture composition
You can define your own soil composition and use it alongside the pre-set types.
In the app, open Options and upload your values there.
To customize your setting, insert a line in the following format:
id;name;par_a;par_b;par_c;dens_q;perc_clay;perc_silt;perc_salt;zero
id - number your setting
name - name your setting
par_a - parabola A
par_b - parabola B
par_c - parabola C
dens_q - density
perc_clay - percentage of clay
perc_silt - percentage of silt
perc_sand - percentage of sand
zero - default value of 0
Once uploaded, your custom setting can be selected like any of the pre-set soil types.
myClim R package
We also recommend the myClim R package for soil moisture conversion and data analysis in general. It was designed by Matฤj Man et al. specifically for microclimate data processing. "The myClim package supports a complete workflow for microclimate data handling, including reading raw logger data files, their preprocessing and cleaning, time-series aggregation, calculation of ecologically relevant microclimatic variables, data export and storage" (Man et al., 2023).
