2.46 M
projects & contracts*
*data from 2020.
  • Bieito Fernández Castor; Marian Peña; Enrique Nogueira; Miguel Gilcoto; Esperanza Broullón; Antonio Comesaña; Damien Bouffard; Alberto C. Naveira Garabato; Beatriz Mouriño-Carballido (2022) Intense upper ocean mixing due to large aggregations of spawning fish Nature Geoscience DOI:10.1038/s41561-022-00916-3
  • Sánchez-Jerez, P.; Babarro, J.M.F.; Padin, X.A.; Longa Portabales, A.; Martinez-Llorens, S.; Ballester-Berman, J.D.; Sara, G.; Magano, M.C. (2022) Cumulative climatic stressors strangles marine aquaculture: Ancillary effects of COVID 19 on Spanish mariculture Aquaculture DOI:10.1016/j.aquaculture.2021.737749
  • González, J.; Fernández, E.; Figueiras, F.G. (2022) Assessing the effect of oil spills on the dynamics of the microbial plankton community using a NPZD model Estuarine, Coastal and Shelf Science DOI:10.1016/j.ecss.2021.107734
  • N. MARBÀ; M. COLL; A. CALBET; A. SABATÉS; A.F. GONZÁLEZ; C. MARRASÉ; D. MACÍAS; E. SAIZ; E. MACPHERSON; E. GARCÉS; F. TOMÀS; F. GÓMEZ-FIGUEIRAS; H. HINZ; I. CATALÁN; I. HENDRIKS; J. AGUZZI; J. NAVARRO; J. TERRADOS; J.L. PELEGRÍ; J.M. GASOL; J.M. GILI; M. MALDONADO; M.M. SALA; M. ESTRADA; J. ALÓS; P. OLIVAR; R. SIMÓ; R. LOGARES; R. MASSANA; S.G. ACINAS; T. ALCOVERRO; X. TURÓN; X.A. ÁLVAREZ-SALGADO (2021) Challenge 3: Achieving a Resilient Ocean " White Paper 13: Ocean Science Challenges For 2030" Consejo Superior de Investigaciones Científicas (CSIC)
  • Jesús Marco de Lucas; M. Victoria Moreno-Arribas; Ananda Pascual; Diego Macías; Joaquín Tintoré; Antonio Turiel; Joaquim Ballabrera; Carmen G. Castro; Núria Marbà; Marta Coll; Jordi Dachs; I. Emma Huertas; Valentí Sallarès; Ángel F. González; Antonio Tovar-Sánchez; Carolina Gabarró; Javier Ruiz; Alejandro Orfila; Ramiro Logares; Josep Alós; José Pintado Valverde; Ana Crespo Solana (2021) White Paper 13: Ocean Science Challenges For 2030 Consejo Superior de Investigaciones Científicas (CSIC) ISBN:978-84-00-10762-8
  • PhD - DANIEL BROULLON DURAN (24/10/2022) Neural networks and the seawater CO2 system. From the global ocean to the Ría de Vigo Universidade de Vigo (UVIGO)
  • TFM - Justine Roth (26/07/2022) Silica determination in Seagrasses: An analytical method validation for the ecological assessment Université de Lille
  • TFG - Paola Rodríguez Bello (26/11/2021) Variabilidad del pico- y nanoplancton durante la época de afloramiento en la Ría de Vigo Universidad Rey Juan Carlos (URJC)
  • TFM - Hugo Marques Feio (30/08/2021) Effectoftemperatureandsedimentdisturbanceonecophysiologicalresponsesoftheinfaunalclam Polititapes rhomboides Université de Nantes
  • TFM - Miguel Ángel Gutiérrrez Guerra (27/07/2021) Eastern Boundary Upwelling Systems under climate change Universidade de Vigo (UVIGO)
  • Prototype | SURCOM-pH: Low-cost sensor for autonomous ocean acidification monitoring

    Prototype of a low-cost autonomous pH sensor based on ISFET (ion sensitive field effect transistor) technology adapted for continuous ocean monitoring.

    The sensor yields a high precision (± 0.003 pH units) and a very low measurement drift, provides real-time coastal data transmission, and its autonomy allows for over one year of continuous transmission.

    The prototype has been tested for long periods in coastal areas and has been calibrated against commercial sensors, providing very good reliability. For further information, please contact us by e-mail.


  • Window to the sea

    Interoperable data platform that collects records of a variety of indicators related to coastal risks both in Galicia and in the North of Portugal  The variables include, among others, the risk of eutrophication, coastal erosion, flooding or loss of genetic diversity. Linked to the MarRisk project, financed by the European Regional Development Fund ERDF through the Interreg V-A Spain-Portugal Program (POCTEP) 2014-2020.


  • Prototype | MUSSEL-HFNI: high-frequency non-invasive (HFNI) low-cost biosensor for aquaculture monitoring

    Device to monitor the physiological status of up to 64 bivalves in their culture system in real time. 

    The monitoring system is based on the analysis of micro-movements of bivalves related to valve opening (valvometry). This technique has been confirmed by recent studies as a very promising technique to detect harmful algal blooms or ocean acidification episodes.

    The prototype is being adapted to increase its portability and autonomy. For further information, please contact us by e-mail.