Processes in this service

Use case	Name	Description
	Hello World	An example process that takes a name as input, and echoes it back as output. Intended to demonstrate a simple process with a single literal input.
Daugava	Group points by region	Merge data points with the attributes of the study region the points fall into (R function 'points_att_polygon').
Daugava	Group data to groups based on date	This process groups the data into groups based on the date. If requested (by setting "year_starts_at_Dec1"), it adds December to the next year (i.e. all winter months together). In that case, in the result, every year starts at Dec-01 and ends on...
Daugava	Return group average	description: This function calculates and returns the average value for each defined group (for example per site, per year, per season and per HELCOM_ID) (R function 'mean_by_group').
Daugava	Select and Interpolate Time Series	This process selects time series with sufficient data for interpolation and returns continuous time series where missing values (NAs) are replaced using linear interpolation (R function zoo::na.approx). The result is a complete time series without...
Daugava	Man-Kendall Trend Analysis on Time Series	This process performs a Man-Kendall trend analysis to identify the presence or absence of significant trends in time series data. It returns statistical analysis coefficients (e.g., p-values, tau, and slope) for each defined group, allowing for...
Daugava	Visualisation of statistical analysis results	This process visualizes statistical analysis results, where the test value (stat.value) is plotted on the Y-axis and id are plotted on the X-axis. Bar color is determined by groups and is displayed in the legend. Bar opacity is controlled by the...
Daugava	Spatial visualisation of regions and data points	This process maps the trend analysis results onto a study region map, visually representing each region according to the statistical results (significant increase vs. significant decrease vs. insignificant trend). The map helps in understanding the...
Daugava	Spatial visualisation of regions and data points	This process maps the study region and data point locations on OpenStreetMap, providing a visual representation of the geographic distribution of in-situ data points within the defined study area (R function 'map_shapefile_points').
HEREON	OWT Classification	Optical Water Type classification for ocean, coastal and inland waters.
Catalunya Inland	SWAT+, Soil and Water Assessment Tool	The Soil and Water Assessment Tool (SWAT+) is a hydrological model used to simulate processes such as surface runoff, groundwater flow, and water quality across watersheds of varying scales. It evaluates the effects of land use, management practices,...
Catalunya Inland	SWAT+ output to MITgcm input connection tool	This code converts SWAT output (https://swat.tamu.edu/) of water quantity (Flow out and Temperature) in sqlite format to date input for MITgcm in txt format.The tool uses R code al libraries DBI, RSQLite, and dplyr to correct the date format and...
BOKU	Retrieve biodiversity data from the web (1/5)	This process retrieves biodiveryity data, i.e. occurrences for various species, from the sources GBIF, iNaturalist and VertNet. For more details, please ask BOKU.
BOKU	Combine and match biodiversity data from separate sources (2/5)	This process combines and matches biodiveryity data, i.e. occurrences for various species, from the sources GBIF, iNaturalist and VertNet, with data provided by the user or other sources. For more details, please ask BOKU.
BOKU	Check species names in biodiversity data from separate sources (3/5)	This process XYZ HERE PLEASE, from the sources GBIF, iNaturalist and VertNet, with data provided by the user or other sources. For more details, please ask BOKU.
BOKU	pred extract XYZ HERE PLEASE	pred_extract (4/5). XYZ HERE PLEASE. For more details, please ask BOKU.
BOKU	Run multidetect and clean the data (5/5)	This process detects outliers using various methods and cleans the data: Ensemble multiple outlier detection methods to ably compare the outliers flagged by each method; then extract final clean data using either absolute or best method generated...
SYKE	Compute River Load	This process computes daily river loading values from input data which consists of: ((1)) TOC (Total Organic Carbon, mg/l) concentration values based on laboratory samples (in Syke's case coming from the VESLA database) ((2)) Daily discharge values...
Catalunya	Catalunya MITgcm Plotting Tool	Plot the results of the MITgcm runs. The plots are lat lon maps of the selected variable for the selected time and depth. This tool will only work with NetCDF files that were configured in a specific way (variables, ...), for example, with the output...