MEDSEA_CH7_Product_5 / Annual time series of Total Nitrogen [mg/l]

Annual time series of Total Nitrogen/Nitrates [mg/l] from in situ and model data

MEDSEA_CH7_Product_4 / Monthly time series of TSM from satellite data

Monthly time series of Total Suspended Matter (TSM) from satellite data [mg/l]

MEDSEA_CH5_Product_2 / Collated data set of fish discards 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.

MEDSEA_CH7_Specification_5 / Annual time series of Total Nitrogen [mg/l]

Annual time series of Total Nitrogen/Nitrates [mg/l] from in situ and model data

MEDSEA_CH7_Product_6 / Monthly time series of Total Nitrogen from model data [mg/l]

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

Invasive species monitoring parameters | Pathway/Vector of Non-Indigenous Species Introduction | Coastal Research and Planning Institute | AquaNIS - Information system on aquatic non-indigenous and cryptogenic species

Invasive species monitoring parameters | Alien species taxonomy | Coastal Research and Planning Institute | AquaNIS - Information system on aquatic non-indigenous and cryptogenic species

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

Superficies plantées en vigne

Total par commune des superficies plantées en vigne et destinées à produire du vin

RAM Legacy Stock Assessment Database v4.495 [Data set]. Zenodo.

The RAM Legacy Stock Assessment Database is a compilation of stock assessment results for commercially exploited marine populations from around the world. The RAM Legacy Stock Assessment Database is grateful to the many stock assessment scientists whose work this database is based upon and the many collaborators who recorded the assessment model results for inclusion in the RAM Legacy Stock Assessment Database. Since 2011 the RAM Legacy Data base has been hosted and managed at the University of Washington with financial assistance from a consortium of Seattle-based seafood companies and organizations, and from the Walton Family Foundation. Initial development of the database from 2006-2010 was supported by the Census of Marine Life, Canadian Foundation for Innovation, NCEAS, NSERC, the Smith Conservation Research Fellowship, New Jersey Sea Grant, and the National Science Foundation.

XLS