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  • 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.

  • 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.

  • The LifeWatch and EMODnet Biology QC Tool allows you to assess to what extend a dataset published on an IPT or a DwC-A file meets the EMODnet Biology Data Quality Criteria. This tool is based on the EMODnetBioCheck R package (https://github.com/EMODnet/EMODnetBiocheck) that was created using the obistools package (https://github.com/iobis/obistools) and it is available from the LifeWatch services at http://rshiny.lifewatch.be/BioCheck/. The Biocheck tool performs a detailed Quality Control on OBIS-env datasets and occurrence core dataset. It provides a way for a visual exploration of the dataset and highlights potential issues.

  • A tool for Quality Controlling Darwin Core based datasets according to the EMODnet Biology guidelines. The tool performs a thorough QC on OBIS-env datasets and occurrence core datasets. It can use an IPT resource URL as input. Quality controlling a dataset is fundamental in order to ensure its appropriate usage. The EMODnetBiocheck R package is developed in the framework of the LifeWatch and EMODnet Biology projects, and managed by the EurOBIS (European Ocean Biodiversity Information System) Data Management Team at the Flanders Marine Institute (VLIZ). It helps users to Quality Control their (marine) biological datasets by performing a varied number of quality checks on both published and unpublished datasets. This R package also allows a thorough visual exploration of the dataset, while highlighting potential issues within the dataset. The R package can be used on: i) public IPT resources; ii) loaded data tables. The only requirement to use the R package is the existence of an Occurrence table in the dataset, although the analysis reaches its full potential using an IPT resource with OBIS-ENV data format (Core: "Event"; Extensions: "Occurrence" and "Extended Measurements or Facts").

  • Bio-ORACLE offers essential physical, chemical, biological and topographic data layers with global extent and uniform resolution for modelling the distribution of marine biodiversity. The layers can be used in Species Distribution Modelling to predict the distribution of biodiversity, address niche-based questions, unravel biogeographic patterns, and support the conservation of global marine biodiversity at the global. The availability of data under the Shared Socioeconomic Pathway scenarios of CMIP6 allows projecting the implications of future change to marine biodiversity, contributing to inform climate policy. Usage notes Bio-ORACLE provides 26 physical, chemical, biological and topographic marine data layers, with global coverage, uniform grid system, at a spatial resolution of 0.05 degrees, and a temporal resolution of 10 decadal steps, from 2000 to 2100. 19 essential physical, chemical and biological variables, presented as 6 statistics* for surface and benthic** conditions, under present-day conditions and the SSP1-1.9, SSP1-2.6, SSP2-4.5, SSP3-7.0, SSP4-6.0 and SSP5-8.5 scenarios; 7 topographic layers (including bathymetric and rugosity profiles of the seabed). * the average, maximum and minimum records of a given decade, long-term average of the yearly maxima and minima of a given decade (e.g., the average temperature of the warmest month in the period 2000-2010), and range, which represents the average absolute difference between the maximum and minimum records per year. ** because focal cells at 0.05 degree resolution comprise a wide range of depth values, the benthic layers were developed for the minimum, average and maximum depth within focal cells. All layers are archived as NetCDF (network Common Data Form) and deposited into an ERDDAP server to facilitate filtering and downloading of the layers in common data formats. Additionally, Python (pyo_oracle) and R (biooracler) packages were developed for facilitated data retrieval and improved integration in available frameworks of bioclimatic modelling. Such packages act as clients for ERDDAP’s REST API, an interoperable web protocol for data transfer, and thus can be used for integration into most generic web-based applications.

  • mregions provides access to the data from http://www.marineregions.org 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: http://www.iobis.org); - Geocode: get geolocation data from place names; - reverse Geocode: get place names from geolocation data.

  • The SCAR Antarctic Biodiversity Portal (biodiversity.aq) is an international effort that seeks to increase our knowledge and understanding of Antarctic and Southern Ocean biodiversity. It is a community of researchers, data custodians and developers from around the world that supports the mobilization publication, retrieval and analysis of Antarctic and Southern Ocean biodiversity data in a free and open manner in line with the Antarctic treaty and the FAIR data Principles (Findable, Accessible, Interoperable, Reusable). The main aim is to create an information ecosystem of various data bases, data systems, web services, tools, etc. that can be used by anyone with an interest in Antarctic and Southern Ocean biodiversity. Biodiversity.aq is an international initiative of the Scientific Committee on Antarctic Research (SCAR). It finds it roots in the Census of Antarctic Marine Life and started in 2005. The central facilities are hosted by the Royal Belgian Institute for Natural sciences (RBINS, www.naturalsciences.be) and the Belgian Biodiversity Platform (BBPf, www.biodiversity.be).

  • 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 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 https://rshiny.lifewatch.be/marinespeed/.

  • pyhydrophone is an open-source Python package that has been developed to ease the import of underwater sound data recorded with a hydrophone to python, so postprocessing and AI can be easily performed on the data afterwards. Different recorders can be added with their different way of reading metadata, so the users do not have to worry about the format but just about the outcome.