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2017

523 record(s)
 
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From 1 - 10 / 523
  • Temporal series (annual mean values) and Long Term Average (LTA) of sediment load for each river mouth where in situ data is available. Different sources can be mixed if any.

  • Ce jeu de données donne les intercommunalités sur le département de la Gironde.

  • Combined product of Water body ammonium based on DIVA 4D 10-year analysis on five regions : Northeast Atlantic Ocean, North Sea, Baltic Sea, Black Sea, Mediterranean Sea. The boundaries and overlapping zones between these five regions were filtered to avoid any unrealistic spatial discontinuities. This combined Water body ammonium product is masked using the relative error threshold 0.5. Units: umol/l.

  • Calculation of the average annual sediment balance per stretch of coast for the past 50 years for all coastal zones bordering the North Atlantic Ocean. For this scale of study, this has been interpreted in terms of shoreline advance / retreat in mm/year. Required data sources are therefore national or international datasets giving this parameter directly. It is also possible to utilise more aggregated data sources, but annual values would then be approximated from them. The main challenge in producing this product lies with obtaining datasets which include this data from multiple countries and potentially multiple languages, since this data is usually produced as a result of comparatively small scale studies.

  • La Base Adresse Nationale est une base de données qui a pour but de référencer l'intégralité des adresses du territoire français. Elle contient la position géographique de plus de 25 millions d'adresses. Elle est constituée par la collaboration entre : des acteurs nationaux tels que l'IGN, La Poste et La Poste ; des acteurs locaux tels que les collectivités, les communes, les SDIS  ; des citoyens par exemple à travers le projet OpenStreetMap et l'association OpenStreetMap France. Le projet est co-gouverné par l'Administrateur Général des Données et le Conseil National de l'Information Géographique. --- Etat de disponibilité de la donnée : Data.gouv : donnée téléchargeable en csv et mise à jour hebdomadaire. OpenStreetMap : donnée téléchargeable en csv, shape et json et mise à jour hebdomadaire. PIGMA : lien qui renvoie à la BD Adresse (Octobre 2016). Mise à jour irrégulière.

  • Temporal series (annual mean values) with error of estimation and Long Term Average (LTA) with error of estimation of total nitrogen load for each river mouth where in situ data is available. Different sources can be mixed if any.

  • The EEA coastline for analysis is created for highly detailed analysis, e.g. 1:100 000, for geographical Europe. The coastline is a hybrid product obtained from projects using satellite imagery as data source: EUHYDRO (https://land.copernicus.eu/imagery-in-situ/eu-hydro) and GSHHG (http://www.soest.hawaii.edu/pwessel/gshhg/). The defining criteria was altitude level = 0 from EUDEM (https://land.copernicus.eu/pan-european/satellite-derived-products/eu-dem/view). Outside the coverage of the EUDEM, the coastline from GSHHG was used without modifications. A few manual amendments to the dataset were necessary to meet requirements from EU Nature Directives, Water Framework Directive and Marine Strategy Framework Directive. In 2015, several corrections were made in the Kalogeroi Islands (coordinates 38.169, 25.287) and two other Greek little islets (coordinates 36.766264, 23.604318), as well as in the peninsula of Porkkala (around coordinates 59.99, 24.42). In this revision (v3, 2017), 2 big lagoons have been removed from Baltic region, because, according to HELCOM, are freshwater lagoons.

  • Temporal series (annual mean values) of temperature for each river mouth.Temporal series (annual mean values) of temperature for each river mouth.

  • ERA5 is a climate reanalysis dataset, covering the period 1979 to present. ERA5 is being developed through the Copernicus Climate Change Service (C3S). Extracted data available here are one hourly at a regular grid lat,lon 0.25*0.25

  • Temporal series (annual mean values) with error of estimation and Long Term Average (LTA) with error of estimation of total phosphate load for each river mouth where in situ data is available. Different sources can be mixed if any.