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

  • Acoustic monitoring is a powerful technique for learning about the ecology of bats. Bat recorders provide continuous registration of bat activity by recording echolocation calls of passing bats. Since the bat calls are highly reliable taxonomic features, the acquired data can be used to estimate diversity and relative abundance of the occurring species. The generated data provides a basis for ecological and behavioral research of the bat species occurring in our coastal and marine areas. BatSounds is an open source repository that contains scripts to work with BatCorder data and BatCorder devices. The repository contains two scripts that are useful to process and send the audio data retrieved by ecoObs Batcorders ( - Raw_to_wav is a python script that adds a header to raw audio files from the BatCorder so it can more easily be used by different softwares as a wav file. - beaglebone_batcorder is a bash-script to run on a Beaglebone Black minicomputer connected to a BatCorder. It copies the data from the BatCorder daily to its own SD card and sends it to an FTP server over Ethernet. It allows for remote data transfer and memory management of the BatCorder. LifeWatch Belgium has currently four ecoObs BatCorders installed. You can find more information here:

  • NICHE Vlaanderen (Nature Impact Assessment of Changes in Hydro-Ecological Systems) is a hydro-ecological model that predicts the potential occurrence of (ground)water-dependent vegetation types in an area based on information about the (abiotic) site conditions. NICHE Vlaanderen can be used to evaluate the impact of changes in the water management to groundwater-dependent vegetation. The model is based on a number of location factors that are important for the vegetation: soil type, hydrology, nutrient availability and acidity. Based on calculated abiotic properties of the location NICHE Vlaanderen determines whether certain vegetation types can develop. An additional flooding module allows the user to test whether the predicted vegetations are compatible with a particular flooding regime. This project is a redevelopment of an existing ArcGIS plugin in Python, without external non-open source dependencies.