Specification of the desirable and recommended product attributes for generating time series of average annual sea temperature at mid-water and sea bottom for the last 10 yrs.

Description of de desirable and recomended attributes for generating time-series of sea surface annual average temperature for the last 10, 50 and 100 yrs for the Mediterranean basin and for each NUTS region along the coast.

Moving 10-years analysis of Oxygen at Northeast Atlantic Ocean for each season: - winter: January-March, - spring: April-June, - summer: July-September, - autumn: October-December. Every year of the time dimension corresponds to the 10-year centred average of each season. Decades span from 1963-1972 until 2005-2014. Observational data span from 1963 to 2014. Depth range (IODE standard depths): -3000.0, -2500.0, -2000.0, -1750, -1500.0, -1400.0, -1300.0, -1200.0, -1100.0, -1000.0, -900.0, -800.0, -700.0, -600.0, -500.0, -400.0, -300.0, -250.0, -200.0, -150.0, -125.0, -100.0, -75.0, -50.0,-40.0, -30.0, -20.0, -10.0, -5.0, -0.0 Data Sources: observational data from SeaDataNet/EMODNet Chemistry Data Network. Description of DIVA analysis: Geostatistical data analysis by DIVA (Data-Interpolating Variational Analysis) tool. GEBCO 1min topography is used for the contouring preparation. Analyzed filed masked using relative error threshold 0.3 and 0.5 DIVA settings. Signal to noise ratio and correlation length were optimized and filtered vertically and a seasonally-averaged profile was used. Background field: the data mean value is subtracted from the data. Detrending of data: no, Advection consraint applied: no. Units: umol/l

A total number of 277 water samples were collected during distinct oceanographic cruises or at fixed stations across coastal systems of France and Senegal. The seawater samples were progressively filtered onto size-fractionated filters (representing micro, nano and pico-plankton). Metabarcoding of the V4 domain of the Eukaryotic 18S rDNA region was carried out to characterize the genetic diversity of the sampled communities. Genomic DNA was extracted following the DNA extraction kit Nucleospin Plant II (Macherey-Nagel) and the V4 markers were amplified with a taq polymerase (Phusion High-Fidelity PCR Master Mix with GC Buffer). Sequencing was performed by the Genotoul sequencing platform (get.genotoul.fr) with the Illumina MISeq method (2x250 bp). The present dataset gathers the different results issued from sequencing. This dataset was submitted to sequence cleaning, filtering, taxonomic assignment and OTU clustering, which resulted in a final dataset also presented.

Output of the 2016 EUSeaMap broad-scale predictive model, produced by EMODnet Seabed Habitats. The extent of the mapped area includes the Mediterranean Sea, Black Sea, Baltic Sea, and areas of the North Eastern Atlantic extending from the Canary Islands in the south to Norway in the North. The map was produced using a "top-down" modelling approach using classified habitat descriptors to determine a final output habitat. Habitat descriptors differ per region but include: Biological zone Energy class Oxygen regime Salinity regime Seabed Substrate Riverine input Habitat descriptors (excepting Substrate) are calculated using underlying physical data and thresholds derived from statistical analyses or expert judgement on known conditions. The model is produced in Arc Model Builder (10.1). For more information on the modelling process please read the EMODnet Seabed Habitats The model was created using raster input layers with a cell size of 0.002dd (roughly 250 meters). The model includes the sublittoral zone only; due to the high variability of the littoral zone, a lack of detailed substrate data and the resolution of the model, it is difficult to predict littoral habitats at this scale. The map follows the EUNIS 2007-11 classification system where it is appropriate.

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.

Auteur(s): Cha Lucie , Analyse des paysages de méga évènements sur des sites internationaux. Historique de l'évolution de expositions géantes. Projet d'aménagement de la ville de Bordeaux qui a posé sa candidature pour l'Exposition universelle de 2025

Description of the attributes for the time-series of sea surface annual average temperature for the last 10, 50 and 100 yrs for the Mediterranean basin and for each NUTS region along the coast.

Description of attributes for time series of sea level trend for the last 10 yrs for the Mediterranean basin and for each NUTS3 region along the coast.

This dataset presents the estimated multiplication factor by which the frequency of flooding events of a given height in European tide gauges will change between 2010 and 2100, due to projected regional sea relative level rise under the Representative Concentration Pathways (RCP) 4.5 scenario. Values larger than 1 indicate an increase in flooding frequency. This dataset is derived from the Figure 13.25(b) of the Working Group I contribution to the IPCC Fifth Assessment Report (http://www.climatechange2013.org/images/report/WG1AR5_ALL_FINAL.pdf). This dataset also contributes to an earlier version of the EEA Indicator "Global and European sea-level": https://www.eea.europa.eu/data-and-maps/indicators/sea-level-rise-5/assessment.