ATLANTIC_CH04_Specification_4 / Phytoplankton abundance (top 3 species) time-series (1915-2014)

Phyto plankton Abundance: Identify the 3 most abundant phytoplankton species in the North Atlantic and calculate a timeseries of their abundance within the basin.

MEDSEA_CH7_Specification_8 / Monthly time series of Total Phosphorous from model data [mg/l]

Monthly time series of Total Phosphorous [mg/l] from model data

MEDSEA_CH7_Product_9 / Annual time series of Eels production[tons]

Annual time series of Eels Production per country [tons]

Wind strength and direction | Wind power in the atmosphere by model prediction in m/s at 50, 100, 200 m | Risoe National Laboratory, Technical University of Denmark, Wind Energy Department |

Fish biomass in water bodies | Salmon biomass | FAO / FAO - Food and Agriculture Organization of the United Nations | Fishbase

Administrative units | Biodiversity monitoring stations | Integrated Regional monitoring Implementation Strategy in the South European Seas | Biodiversity monitoring stations

Wind strength and direction | Wind speed in the atmosphere by model prediction in m/s at 50, 100, 200 m | Risoe National Laboratory, Technical University of Denmark, Wind Energy Department |

Fish abundance in water bodies | Abundance category of biological entity specified elsewhere | International Council for the Exploration of the Sea (ICES) | Unified portal to access data from ichthyoplankton surveys carried out in ICES areas

MEDSEA_CH5_Specification_1 / Collated data set of fish landings by species and year, for mass and number

The objective of this tender is to examine the current data collection, observation and data assembly programmes in the Meditterranean Sea, identify gaps and to evaluate how they can be optimised.

Invasive species monitoring parameters | Year of Introduction of non-indigenous species (including citation) | Coastal Research and Planning Institute | AquaNIS - Information system on aquatic non-indigenous and cryptogenic species

XLS