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  • Prepare animal tracking data from Movebank (https://www.movebank.org/cms/movebank-main) for publication in a research repository or the Global Biodiversity Information Facility (GBIF) (https://www.gbif.org/).

  • 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.

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

  • This package provides functionality to access data from the European Tracking Network (ETN) database hosted by the Flanders Marine Institute (VLIZ) as part of the Flemish contribution to LifeWatch. ETN data is subject to the ETN data policy and can be: - restricted: under moratorium and only accessible to logged-in data owners/collaborators - unrestricted: publicly accessible without login and routinely published to international biodiversity facilities The ETN infrastructure currently requires the package to be run within the LifeWatch.be RStudio server, which is password protected. A login can be requested at http://www.lifewatch.be/etn/contact.

  • Read and write Frictionless Data Packages. A 'Data Package' (https://specs.frictionlessdata.io/data-package/) is a simple container format and standard to describe and package a collection of (tabular) data. It is typically used to publish FAIR (https://www.go-fair.org/fair-principles/) and open datasets.

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    Read, explore and visualize Camera Trap Data Packages (Camtrap DP) (https://tdwg.github.io/camtrap-dp/). Camtrap DP is a community developed data exchange format for this type of data. With camtraptor you can read and filter data, create overviews of observed species, relative abundance or effort, and plot these data on a map.

  • Camera Trap Data Package (or Camtrap DP for short) is a community developed data exchange format for camera trap data. A Camtrap DP is a Frictionless Data Package (https://frictionlessdata.io/data-package/) that consists of 4 files: - datapackage.json: metadata regarding the data package and camera trap project. - deployments.csv: a table with camera trap deployments. - multimedia.csv: a table compiling multimedia files taken by the camera traps. - observations.csv: a table with observations based on the multimedia files. The Camtrap DP package is documented on a website (https://tdwg.github.io/camtrap-dp/). Camtrap DP is managed by the Machine Observations Interest Group of Biodiversity Information Standards (TDWG). It was originally developed by the Open Science Conservation Fund and the Research Institute for Nature and Forest (INBO). Camtrap DP is endorsed the camera trap data management systems Agouti, eMammal, TRAPPER, Wildlife Insights and already available as an export format in some of these.