Projects with European Funding
(from 1992 and forward)
MARÉ - Integrated Management of Coastal and Marine Areas in the Azores
AMORES - Azores mid-oceanic ridge ecosystem studies: an integrated research program on deep-sea hydrothermal transfers and fluxes.
ASIMOV - Advanced system integration for managing the coordinated operation of robotic ocean vehicles.
BASBLACK - Environment and biology of deep-water species
in NE Atlantic: basis for its management.
Biogeography and biodiversity of hydrothermal vents and cold seeps. An international co-operative study.
Biology of some Macaronesian deep-sea commercial species.
CANIGO - Canary islands-Azores-Gibraltar observations. Sub-project 1. Circulation and dynamics of transports through the eastern boundary current system.
Collection of daily CPUE data and establishment of data bases and procedures for the estimation of abundance indices for North Atlantic albacore.
Conservation of communities and habitats of Azores seabirds.
CRM-REE - Rare earth elements in environmental matrices. Preparation of four certified reference materials.
Design optimization and implementation of demersal cruise survey in the Macaronesian Archipelagos.
Design optimization and implementation of demersal cruise survey in the Macaronesian Archipelagos II.
EPOCA/POSAF - Permanent oceanic station at the Azores Front.
EUROSQUID II - Stock dynamics, interactions and recruitment in Northeast Atlantic squid fisheries.
FIEFA - Providing framework to improve the assessment of the main demersal and pelagic fisheries in Western Europe waters.
Improvement of data collection for stock assessment in ICES sub-areas VI, VII, VIII, IX and X.
An intensive fishing experiment in Azores.
LACALE - Calibration laboratory.
Seasonal changes in biological and ecological traits of demersal and deep-water fish species in the Azores.
Study for an european research laboratory on tuna fish: research observatory on the exploitation of tuna fish (ORDET).
Sustainable fisheries. How can the scientific basis for fish stock assessement and predictions be improved.