The dataset defines siidas in the Sami reindeer grazing area. A siida is a group of reindeer owners who practice reindeer husbandry together in particular areas. There are summer siidas and winter siidas. There have been a little less than 100 summer siidas over the past few years, and around 150 winter siidas in the Sami reindeer grazing area. A siida comprises one or more siidaunits, each of which has a responsible leader.

Susceptibility areas for rockfall is a national series of maps showing areas that are potentially vulnerable to rockfalls at a general level. The maps show potential source areas and run-out areas for rockfalls.\\nYour attention is drawn to the fact that the areas covered by source areas are in practice run-out areas as well, as avalanches that are triggered right at the top of the source area move through trigger areas below, before reaching the run-out areas at the bottom. Therefore, both source areas and run-out areas should generally be used together when using the dataset for analysis purposes. \\nThe susceptibility areas are identified by means of a data model which uses the slope of the terrain and geological information to recognise potential source areas for rockfalls. The run-out area for rockfalls is calculated automatically from each source area. No fieldwork is done when identifying or defining the areas.

Hard-bottom sponge aggregations. These are communities dominated by erect, medium-sized sponges, typically fan-shaped or branching such as Phakellia spp., Axinella infundibulum, and Antho dichotoma. They occur on different hard seabed substrates (coarse gravel, cobbles, boulders and bedrock). This biotope is generally home to more species, but usually has a lower density of sponges than soft-bottom sponge aggregations.

Distribution of coniferous and deciduous forest by land type polygon. The values are 31 Coniferous; 32 Deciduous; 33 Mixed; 39 Unforested; 98 Not relevant; Not known. Tree type is a valid attribute for the following land types: 30 Forest; 60 Peat bog. The national land resource database (AR) classifies the land cover of mainland Norway according to its suitability for agriculture and natural plant production. National land resource datasets are available at scale 1:5.000 (AR5), 1:50.000 (AR50) and 1:250.000 (AR250). AR50 is the Norwegian medium resolution land resource dataset which covers the whole of mainland Norway. It is build and maintained for cartographic representations at regional level (1:100.000 to 1:300.000). The dataset is not intended for spatial analysis. Features in AR50 are continuous areas representated as polygons with attributes assigned according to the AR50 classification criteria. The primary level of classification is land type (arealtype) based on a combination of land cover and land useSecond level attributes are forest site quality class (skogbonitet) and forest cover type (treslag). Areas above the tree line, mountains and other open areas have been classified according to richness of the vegetation. AR50 contain also includes information about arable land when the land cover is bare land, marsh or forest. In AR50, the general minimum mapping unit is 1.5 hectares for polygons that have identical combinations of attribute values. Smaller mapping units occur between identical land types if they have different forest cover or forest site quality.

The dataset defines areas within the Sami reindeer grazing area where the right to herd reindeer is restricted due to special legal conditions.

Commercial fishing areas – delimited area in which fishing takes place using active equipment such as seines, purse seines and shrimp trawls, or passive equipment such as nets and lines. The information recorded is based on interviews with fishermen.

This dataset shows the strength of the bottom reflectivity. The bottom reflectivity says something about seabed acoustic response, which could give indications about the variations int the types of seabed. Generally, a strong reflection indicate hard bottom, while weaker reflection indicates the softer bottom. Other factors influencing the bottom reflectivity are how well the sediments are sorted and how even the seabed is.

Kystinfo is a web map solution of the Norwegian Coastal Administration. Kystinfo displays a collection layers with data and information on marine and maritime interests. In addition, the solution present national data on natural and cultural values as well as datasets as properties, oil installations, etc. from other norwegian state agencies.