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  • The Rollesbroich site is located in the low mountain range “Eifel” near the German-Belgium border and covers the area of the small Kieselbach catchment (40 ha) with altitudes ranging from 474 to 518 m.a.s.l.. The climate is temperate maritime with a mean annual air temperature and precipitation of 7.7 °C and 1033 mm, respectively, for the period from 1981 to 2001. Soils are dominated by (stagnic) Cambisols and Stagnosols on Devonian shales with occasional sandstone inclusions that are covered by a periglacial solifluction clay–silt layer. The mountainous grassland vegetation is dominated by perennial ryegrass (Lolium perenne) and smooth meadow grass (Poa pratensis). The study site is highly instrumented. All components of the water balance (e.g. precipitation, evapotranspiration, runoff, soil water content) are continuously monitored using state-of-the-art instrumentation, including weighable lysimeters, runoff gauges, cosmic-ray soil moisture sensors, a wireless sensor network that monitors soil temperature, and soil moisture at 189 locations in different depths (5, 20 and 50 cm) throughout the study site. Periodically also different chamber measurements were made to access soil or plant gas exchange.

  • pywhip is a Python package to validate data against whip specifications, a human and machine-readable syntax to express specifications for data.

  • The goal of MarineSPEED is to provide a benchmark data set for presence-only species distribution modeling (SDM) in order to facilitate reproducible and comparable SDM research. It contains species occurrences (coordinates) from a wide diversity of marine species and associated environmental data from Bio-ORACLE and MARSPEC. Some additional information about MarineSPEED can be found in the R Shiny viewer at

  • mregions provides access to the data from in R. It uses both the Marine Regions Gazetteer Web Services and the Marine Regions OGC Web Services. mregions can help in a variety of use cases: - visualize marine regions alone; - visualize marine regions with associated data paired with analysis; - use marine region geospatial boundaries to query data providers (e.g., OBIS:; - Geocode: get geolocation data from place names; - reverse Geocode: get place names from geolocation data.

  • worrms is a R client for the World Register of Marine Species REST webservices ( The aim of a World Register of Marine Species (WoRMS) is to provide an authoritative and comprehensive list of names of marine organisms, including information on synonymy. While the highest priority goes to valid names, other names in use are included so that this register can serve as a guide to interpret taxonomic literature. The content of WoRMS is controlled by taxonomic and thematic experts, not by database managers. WoRMS has an editorial management system where each taxonomic group is represented by an expert who has the authority over the content, and is responsible for controlling the quality of the information. Each of these main taxonomic editors can invite several specialists of smaller groups within their area of responsibility to join them.

  • BVMtool is a set of R scripts automating marine biological valuation calculations based on the biological valuation concept as developed by Derous et al. 2007 and described by Deneudt et al 2013. Based on a recommended format for data input, the script facilitates the calculation of a number of valuation questions that are commonly solved when observational data on species densities are available. The results of the valuation questions are summarized in final scores for each ecosystem component and can be combined with the final results obtained for other ecosystem components. Subzones can be defined as raster grid cells of a desired size or can be based on polygons of a habitat classification provided by the user. The script also offers the possibility to run a number of quality control procedures on the input data, including a taxonomic quality control using the web services built on the World Register of Marine Species.