196 record(s)
Type of resources
Contact for the resource
From 1 - 10 / 196
  • pywhip is a Python package to validate data against whip specifications, a human and machine-readable syntax to express specifications for data.

  • 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Control their (marine) biological datasets by performing a varied number of quality checks on both published and unpublished datasets.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").

  • 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.

  • mregions2 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 in R. mregions2 superseedes the previous mregions R package.

  • pyporcc is an open-source Python package developed to detect and classify harbour porpoise’s clicks in audio files using the PorCC algorithm and offering the possibility to create new clicks classifiers. It provides a framework to train different models such as Support Vector Machines, Linear Support Vector Machines, Random Forest and K-Nearest Neighbour that classify sound clips in Noise, and Low-Quality and High-Quality harbour porpoises’ clicks. The algorithm from PAMGuard to detect possible clicks clips is also implemented.

  • 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/).

  • This service aims at enabling the dataset uploading from the user. It represents the Step 1b of the Biotope vulnerability Workflow within the Internal Joint Initiative.

  • This service allows to choose which column of the MasterARMS file contains the specific data to process. Moreover, it permits to provide additional files or arguments as parameters. It represents the Step 4 of the ARMS Workflow within the Internal Joint Initiative.

  • The package lwdataexplorer retrieves biodiversity, environmental or genetic data from the projects supported by LifeWatch Belgium. These data are also available to explore and download through the LifeWatch Data Explorer: an R Shiny application that allows you to check and download data from your browser.

  • This service allows to filter the list of samples in the MasterARMS csv file on date range (start and end date in ISO format) and geographic location (lat and lon in decimal degrees). Moreover, also the selection of specific samples is permitted. It represents the Step 3 of the ARMS Workflow within the Internal Joint Initiative.