The IT25 LT(S)ER Matsch | Mazia monitoring stations are equipped with 18 different multiparametric sensors, measuring overall more than 250 micrometeorological, biophysical and maintenance parameters every 15 minutes. Moreover, to monitor phenology, five stations are also equipped with Phenocams that capture RGB and IR (Infrared) images of the surrounding landscape on an hourly basis. The list of the sensors can be found in Table 1. Images and data are transferred via mobile phone network to a file server located in the Eurac datacenter and preprocessed for consistency throughout a data quality check (DQC). At the same time, a monitoring system continuously checks the status of the sensors and the stations. To store metadata information and history of the whole hardware infrastructure, SnipeIT is adopted as an asset and metadata manager. A data feeder cross-checks entries in SnipeIT and processes the data and populates the InfluxDB database. Data Browser Matsch | Mazia is a web application composed of three parts: 1) Two backends: InfluxDB and SnipeIT. 2) A frontend written in Go that talks to the backends. 3) A HTML/JavaScript client that implements the user interface and makes HTTP requests to the frontend.

The Matsch | Mazia Data Browser is designed for the general public and expert users and is available in English, German and Italian. The platform distinguishes two kinds of users: Not registered users (hereafter "public users") and registered users (hereafter "research users"). The public users have access to 20 monitoring stations for a subset of meteorological variables (air temperature, relative humidity, global radiation, precipitation, snow height, wind speed, gust and direction) with an open data CC BY 4.0 license. The research users can access the full dataset with a simple registration process using several identity providers (Google, Microsoft, GitHub). The Scientific Network South Tyrol research users can register using the Scientific Network South Tyrol as identity provider. The research users have full access to all 24 monitoring stations' measurements with a specific data usage agreement Della Chiesa et al. (2020). The web application allows multiple queries that filter the available data (Fig. 1). Users can interact with leaflet Agafonkin (2016) graphical representation of all stations, download station coordinates and study area boundaries. Users can also filter by the station, type of measurement, land use, date range and elevation. The last week (updated near real-time) of the public measurements are viewable on Grafana dashboards by clicking on the view graph tab or by clicking the markers in the map (Fig. 2). Data time series can be exported as comma-separated values (CSV). The CSV format is compliant to tidy data frames Wickham (2014), both long (Suppl. material 1) and wide (Suppl. material 2) tables can be downloaded. The "info" tab shows further information about the data, data license, and additional info and glossary of the downloaded table. The registered users can also download a Glossary excel file Zandonai et al. (2020) with metadata and description of the measurements.

Figure 1.  

Main dashboard of the Matsch | Mazia Data Browser. Home, Info, View graphs, language, registration and login section, Map area. The elements of the page: Home (Query selectors for measurement, station, land use, date range, elevation and download CSV); Info (Basic info, Data license, disclaimer, and brief how-to); View Graphs (Grafana dashboard with dynamic graphs of the public data); Map area (point location of the stations, download coordinates and catchment boundaries).

Figure 2.  

Example of a Grafana dashboard, showing one week of the near real-time publicly available data. Notice that some stations are equipped with webcams (Phenocam).