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  • EXPLORATOR is a citizen science project of the Herbarium of the University of Coimbra to digitise the collection. By contributing to its digitisation, it is facilitating the investigation of botanists worldwide. The Herbarium joined the global effort to accelerate the study of plant diversity. Experts need quick access to the 392,353,689 specimens that exist in herbaria around the world and all the information they contain. This quick access helps research and knowledge about plants to advance, being possible to find timely solutions to problems that affect ecosystems.

  • 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.

  • An R package to get downloads from the EurOBIS database. In 2019, development started for the eurobis R package, to serve as an easy to use interface to download EurOBIS data in R. Currently, the main functions and documentation are being developed and are working, but need some further testing and user feedback before it can be officially released.

  • 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.

  • gulltracking provides functionality to annotate GPS tracking data of gulls stored in Movebank (https://www.movebank.org). These data are collected by the LifeWatch GPS tracking network for large birds (see http://lifewatch.be/en/gps-tracking-network-large-birds). Functions for other bird species will be added in a later stage.

  • Marine Biology Station in Piran at National Institute of Biology, partner in LifeWatch Slovenia monitors the waves and surficial currents assessment as well as a potential resource for monitoring the impact of wave energy on the marine environment with the help of High Frequency radar (HF Radar). Co-financed by the IPA ADRIATIC (EU) project ”Strengthening common reaction capacity to fight sea pollution of oil, toxic and hazardous substances in Adriatic Sea – HAZADR” (http://www.hazadr.eu/) two High Frequency (HF) radar systems WERA were setup along the coast of the Gulf of Trieste. The National Institute of Biology, Marine Biology Station (NIB) in collaboration with the Slovenian Environmental Agency (ARSO) placed a 12 channel system in the town of Piran (Slovenia), while the Istituto Nazionale di Oceanografia e di Geofisica Sperimantale (OGS) set up its system in Aurisina (Italy). They operate in pair thus covering the Gulf of Trieste and the Bay of Piran. The near real-time results are available to public, local stakeholders and the scientific community in a graphical and digital form.

  • 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.

  • 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.

  • 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 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.