This vector dataset represents the benthic broad habitat types in Europe seas potentially affected by anchoring. The anchoring of vessels can produce damages to the seafloor and the loss of the habitat where it happens. It takes place in shallow waters, close to ports, where vessels have to wait for a spot in the port so they can load or offload (since ports have a limited amount of dockage). The anchoring areas allow vessels to safely anchor in protection from bad weather or other circumstances. The type of alterations to the habitats resulting from anchoring depend mainly on the dimensions and type of the anchor, as well as its movement resulting from the movement of the vessel due to currents or waves, which can increase the adverse effects. The dataset has been prepared in the context of the development of the first European Maritime Transport Environmental Report (to be published as an EMSA-EEA report in 2021).

The present layer contains the main European ports, including: Core and Comprehensive Ports from the TEN-T network, other ports of relevance (handling more than 1,000,000 tons per year or with a traffic higher than 1,000,000 passengers per year, following Eurostat Statistics 2017) and main fishing ports (with more than 100 fishing vessels registered, according to the Fleet Register of the European Union). The dataset has been prepared in the context of the development of the first European Maritime Transport Environmental Report (to be published as an EMSA-EEA report in 2021), and has been derived from a database created in 2019 within the LOOP-Ports project (https://www.loop-ports.eu/).

This vector dataset represents the benthic broad habitat types in Europe Seas potentially affected by the ship wakes. When navigating, the propellers of ships generate a turbulent mixing of the water that can produce sediment re-suspension in soft bottoms of shallow areas. This can increase the turbidity in those areas, affecting the seafloor organisms (especially those that are directly dependent on light, such as aquatic plants). It may also contribute to an increase of the the eutrophication level of the ecosystem (since the turbid waters may become warmer, which may turn into a reduction of dissolved oxygen in water). Finally, turbidity can produce an increase in the inputs of contaminants and microbial pathogens, since those can become attached to the suspended solids. The dataset has been prepared in the context of the development of the first European Maritime Transport Environmental Report (to be published as an EMSA-EEA report in 2021).

DAGI-datasættet er et standardiseret referencedatasæt, som beskriver – og viser – landets administrative geografiske inddeling. Danmarks Administrative Geografiske Inddeling (DAGI) er ikke færdige korttemaer eller slutbrugerprodukter. Det er digitale geodata, som skal bearbejdes, før de bliver færdige produkter (f.eks. et trykt kort) eller løsninger (f.eks. en internet-service). Datasættet er således ikke er bundet til eller afhængig en bestemt anvendelse, eller korttype; tværtimod skal det kunne anvendes i samspil med alle typer af data, f.eks. administrative, økonomiske og statistiske data og ligende.

Danmarks Administrative Geografiske Inddeling (DAGI) er en del af de fællesoffentlige grunddata, der distribueres via Datafordeleren i en sammenhængende datamodel. Det er et standardiseret referencedatasæt, der er velegnet til at sammenstille med andre data. DAGI indeholder inddelingerne: Regionsinddeling, Landsdel, Kommuneinddeling, Sogneinddeling, Opstillingskreds, Politikreds, Retskreds, Postnummerinddeling, Supplerende Bynavn, Afstemningsområde og Menighedsrådsafstemningsområde. DAGI-datasættet kan anvendes i samspil med alle typer af data, f.eks. administrative, økonomiske og statistiske data. I kombinationen med andre data, kan der skabes nye produkter til formidling, analyser, beslutningsprocesser eller de kan indgå i forskellige tjenester, der benyttes i slutbrugerløsninger til borgere, sagsbehandling, ansøgninger eller analyser m.v. DAGI findes i 4 målforhold 1:10.000 - Se detaljerne Er reference-målforholdet for den mest detaljerede visning af de administrative grænser. Velegnet til brug sammen med data i målforholdet 1:6.500 - 1:50:000. Det er denne skala, der udgør de egentlige DAGI-grunddata, hvor nøjagtigheden for geografisk beliggenhed er defineret til +/- 1 meter (jf. GeoDanmark-data). 1:250.000 – Lav planlægning Generaliseret visning velegnet til brug sammen med data i målforholdet 1:100.000 – 1:250.000. 1:500.000 – Få overblik Generaliseret visning velegnet til brug sammen med data i målforholdet 1:300.000 – 1:500.000. 1:2.000.000 – Det store overblik Generaliseret visning med færrest detaljer velegnet til brug for en overordnet orientering for hele Danmark eller Europa.