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  • EurOBIS is the european node of the Ocean Biodiversity Information System (OBIS) and part of the LifeWatch Belgium Species Information Backbone and EMODnet Biology. It aims at containing a wide range of taxonomic and species related data; the main goal being the integration of distributed biodiversity data repositories and operating facilities. EurOBIS plays an important role in this as the central storage facility for marine biogeographic data from all over Europe. The EurOBIS data infrastructure is used as the central hub for making biological data available within the biological lot of EMODnet. Through EMODnet Biology the biodiversity occurrence data are available as a Web Feature Service (WFS) in accordance with the Open Geospatial Consortium (OGC) specifications. This webservice supports requests for geographical feature data (with vector geometry and attributes).

  • Benthos Ecosystem Quality Index (BEQI). BEQI is a biological index that is used to assess the state of the benthos of coastal and transitional waters for the Water Framework Directive. Taking into consideration the large intrinsic variability of estuarine and coastal systems and the importance of ecosystem functioning within a water body, Ysebaert & Herman (2003) advocate a multilevel scale-dependent approach for the classification of the quality elements in coastal and transitional waters. The proposed multilevel approach consists of three levels: (1) level 1 - Ecosystem level; (2) level 2 - Habitat level; (3) level 3 - Community (within habitat) level. Where suitable input and reference data is provided, the tool will calculate Ecosystem quality scores and produce a list of species that are responsible for observed deviations from the reference state.

  • bioRad provides standardized methods for extracting and reporting biological signals from weather radars. It includes functionality to inspect low-level radar data, process these data into meaningful biological information on animal speeds and directions at different altitudes in the atmosphere, visualize these biological extractions, and calculate further summary statistics.

  • Data Services provide the users with tools in order to: a) publish their datasets and make them available to the community by providing information that allows a user to locate and access the resource and its curator/creator, b) import their datasets to the Lifewatch Greece Infrastructure and to GBIF or MedOBIS, c) perform biodiversity data and information quality improvement, and d) search about datasets of interest by providing an efficient way of querying semantic networks. The schema of the data that is provided by the users is mapped to the semantic model of the LWI and the data is transformed to LWI format before it is stored to the Infrastructure. The semantic model is based on CIDOC CRM (http://www.cidoc-crm.org/), CRM dig, CRM geo, CRM sci and MarineTLO (http://www.ics.forth.gr/isl/MarineTLO/). Login is required to access the service.

  • 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.

  • The Karst Research Institute ZRC SAZU installed a meteorological station with soil sensors in Sela pri Otovcu (Bela krajina) in SE-Slovenia, near the habitat of black proteus (Proteus anguinus parkelj). The meteorological station with soil sensors includes a central processing and memory unit, sensors (solar radiation, air pressure, air temperature, humidity, precipitation, snow cover height, soil temperature and humidity), wireless data transmission module and power supply unit (solar panel). The equipment was purchased on 16 April 2021 within the RI-SI-LifeWatch project. It is intended for monitoring all major meteorological parameters for the purposes of ecological and karst habitat research.

  • pydov is a Python package to query and download data from Databank Ondergrond Vlaanderen (DOV). It is hosted on GitHub and development is coordinated by Databank Ondergrond Vlaanderen (DOV). DOV aggregates data about soil, subsoil and groundwater of Flanders and makes them publicly available. Interactive and human-readable extraction and querying of the data is provided by a web application, whereas the focus of this package is to support machine-based extraction and conversion of the data.

  • The Azorean Biodiversity Portal provides access to biodiversity occurrence data published for Azores by all scientific literature, non-published reports and citizen science. This portal implemented by the University of Azores, under the scope of PORBIOTA-LifeWatch.Pt, corresponds to the implementation of the Azores/Portuguese platform of the Atlas of Living Australia. The platform is currently supported by the community Living Atlases, a community of GBIF Nodes and other partners. The implementation of the platform seeks to answer to access needs for biodiversity data, with access and data analysis adjusted to Azores, and its geographic, administrative, biogeographic and ecological context. Moreover, it provides tools for data analysis with greater details and capacity for details.

  • The size density relationships web service calculates and describes the relationships between size (total biovolume and total carbon content) and density for any given combination of spatial, temporal and taxonomic level of observations. The service works on datasets structured according to the Phytoplankton Data Template that can be selected by the GUI or uploaded by the researchers. The input file is in CSV format with some mandatory fields (density, biovolume or cell carbon content). Before selecting or uploading the input file, users have to specify some parameters (e.g., the trait to be used for the size distribution, the taxonomic level for the size distribution and the spatial and temporal levels for the clusterization of data). The web service provides as output a zip file containing two summary tables in csv format and a scatter plot.