The Micro-CT vlab is a service which was created in order to present and disseminate micro-CT (micro-computed tomography) datasets through the LifeWatchGreece project. This service offers virtual galleries and online tools for the 3D manipulation of the micro-CT datasets. The creation and dissemination of these "cyber-specimens" aim to contribute to a large-scale digitisation of biological collections.
This vLab comprises of two online coupled models, which are parameterised and initialised for the specific conditions at a few specifically identified areas for which the required datasets exist. In an attempt to make the tool user friendly a graphic user interface (GUI) developed in the course of previous projects will be used. The GUI allows the user to view model results dynamically through any internet browser. Model results will be stored at the HCMR servers and the user will be able to sel
The MedOBIS [Mediterranean node of Ocean Biogeographic Information System (IOBIS: http://www.iobis.org/)] vLab provides reliable and quality controlled marine species datasets, meta-data and satellite data from all over the Mediterranean Sea. The concept of MedOBIS, in agreement with OBIS, is to create a comprehensive system for the retrieval of Mediterranean biological data and to deliver them to OBIS and ultimately to GBIF.
The Bird Movement Modelling virtual lab was developed by SURFsara Computing & Networking Services and the Institute for Biodiversity and Ecosystem Dynamics of the University of Amsterdam. It is an e-Science infrastructure designed for users of the UvA Bird Tracking System (UvA-BiTS), a bio-logging system which includes hardware, software and a supporting data infrastructure. The VL-BMM can be used by project partners to control the tracking system, access data log files, access processed data from a centralized PostgreSQL database, explore or analyze measurements of the UvA-BiTS. The VL-BMM also includes a website where the public view and interact with the most recently downloaded data from select projects.
TITAN comprises a well-grounded stack of Big Data technologies including Apache Kafka for inter-component communication, Apache Avro for data serialisation and Apache Spark for data analytics. Furthermore, DRAMA framework is the underlying workflow orchestrator engine used by TITAN.