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This marine biodiversity observatory has been developed in the framework of the Flemish contribution to LifeWatch and applies automated and innovative technology (imaging, acoustics, genomic profiling) to capture biodiversity data in the Belgian part of the North Sea and its coastal areas. The observatory combines regular ship-based station measurements with a number of operational sensor networks. The observatory provides biodiversity and ecosystem information for the LTSER Belgian coastal waters and sand bank systems. Collected data is made available through LifeWatch data explorers, other virtual labs and global biodiversity data systems.
This dataset contains daily and sub-daily hydrometeorological and soil observations from COSMOS-UK (cosmic-ray soil moisture) monitoring network from October 2013 to the end of 2019. These data are from 51 sites across the UK recording a range of hydrometeorological and soil variables. Each site in the network records the following hydrometeorological and soil data at 30 minute resolution: Radiation (short wave, long wave and net), precipitation, atmospheric pressure, air temperature, wind speed and direction, humidity, soil heat flux, and soil temperature and volumetric water content (VWC), measured by point senors at various depths. Each site hosts a cosmic-ray sensing probe; a novel sensor technology which counts fast neutrons in the surrounding atmosphere. In combination with the recorded hydrometeorological data, neutron counts are used to derive VWC over a field scale (COSMOS VWC), at two temporal resolutions (hourly and daily). The presence of snow leads to erroneously high measurements of COSMOS VWC due to all the extra water in the surrounding area. Included in the daily data are indications of snow days, on which, the COSMOS VWC are adjusted and the snow water equivalent (SWE) is given. The potential evapotranspiration (PE), derived from recorded hydrometeorological and soil are also included at daily resolution. Two levels of quality control are carried out, firstly data is run through a series of automated checks, such as range tests and spike tests, and then all data is manually inspected each week where any other faults are picked up, including sensor faults or connection issues. Quality control flags are provided for all recorded (30 minute) data, indicating the reason for any missing data. This work was supported by the Natural Environment Research Council award number NE/R016429/1 as part of the UK-SCAPE programme delivering National Capability. Full details about this dataset can be found at https://doi.org/10.5285/b5c190e4-e35d-40ea-8fbe-598da03a1185
To address the today’s ecological challenges, it is necessary to use data coming from different disciplines and providers. Discovery and integration of data, especially from the ecological domain, is highly labour-intensive and often ambiguous in semantic terms. To improve the location, interpretation and integration of data based on its inherent meaning vocabularies can help in harmonizing and enriching descriptions of data, providing a formal mechanism for the definition of terms and their relationships. To satisfy these emerging needs LifeWatch ERIC developed a Semantic Resources Catalogue (EcoPortal) focused on the Biodiversity and Ecosystem Research. This effort will help to support the community in the management and integration/alignment of their semantics and subsequently also of their data. The main goal of the EcoPortal initiative is to provide a unique platform for vocabularies in the ecological and domain for different kinds of stakeholders.
Soil moisture data of the eLTER site Rollesbroich provided in the scope of the H2020 project "ENVRI-FAIR", for the purpose of the Soil Water Use Case.
IPFS is a peer-to-peer (p2p) storage network. Content is accessible through peers located anywhere in the LifeWatch ERIC network, that might relay information, store it, or do both. IPFS knows how to find files by using its content address rather than its location. It will be used mainly by the blockchain services.
The objective of this service is to implement a test network on blockchain technology for the permanent storage of data related to ecosystem variables and datasets. This instance of the service has been designed as a test network and is supported under Hyperledger Besu technology. It has full operability for tokens and smart contracts, with support for IBTF consensus and provides a service for reading and writing hashes stored in IPFS systems. Technical data for this testnet: - Name of the net: LifeBlock Testnet - NetworkId: 3170 - Coin: LifeCoin - Native token: LifeToken - Coins issued: 9.200.000 - Gas price: 0
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.
This online and interactive environment provides access to all data of the European Tracking Network. The VRE includes: a database for storage and integration of acoustic telemetry data and a number of analytical tools for analysing the data using R that are: - the LifeWatch Data Explorer for fish telemetry, a RShiny GUI for data exploration; - an RStudio IDE that allows the user to develop and run R scripts online on the available telemetry data; - an Rpackage that incorporates specific functions to start a smooth analysis of telemetry data.
This service aims to split scientific names into their basic components and is optimized to work with taxonomic rank equal or lower than species, following Darwin Core standards.
This service aims to be a citizen science portal where users can contribute with both documents and historical images of Sierra Nevada and its surroundings.