Citation information for individual datasets is often provided in the metadata. However, not all datasets have this information embedded in the discovery metadata. On a general basis a citation of a dataset include the same components as any other citation:
author,
title,
year of publication,
publisher (for data this is often the archive where it is housed),
edition or version,
access information (a URL or persistent identifier, e.g. DOI if provided)
The information required to properly cite a dataset is normally provided in the discovery metadata the datasets.
If you use data retrieved through this portal, please acknowledge the SAON Data Portal.
Brief user guide
The Data Access Portal has information in 3 columns. An outline of the content in these columns is provided above. When first entering the search interface, all potential datasets are listed. Datasets are indicated in the map and results tabulation elements which are located in the middle column. The order of results can be modified using the "Sort by" option in the left column. On top of this column is normally relevant guidance information to user presented as collapsible elements.
If the user want to refine the search, this can be done by constraining the bounding box search. This is done in the map - the listing of datasets is automatically updated. Date constraints can be added in the left column. For these to take effect, the user has to push the button marked search. In the left column it is also possible to specific text elements to search for in the datasets. Again pushing the button marked "Search" is necessary for these to take action. Complex search patterns can be constructed using logical operators through the drop down menu above the text field. Text strings that are not quoted are treated as separate words and will match any of the words (i.e. assuming the OR operator). Phrases may be prefixed with '-' to indicate no occurence of the phrase in the results.
Other elements indicated in the left and right columns are facet searches, i.e. these are keywords that are found in the datasets and all datasets that contain these specific keywords in the appropriate metadata elements are listed together. Further refinement can be done using full text, date or bounding box constraints. Individuals, organisations and data centres involved in generating or curating the datasets are listed in the facets in the right column.
MAREANO, GEOS Oslofjorden, Marine grunnkart i Astafjord, fase III, ICZPM – AquaReg pilotprosjekt, Marine grunnkart i Sør Sunnmøre, Marine Grunnkart i Sore Sunnmore, Kartlegging av Saltstraumen marine verneomtåde, Frisk Oslofjord (MAREANO, GEOS Oslofjorden, AstafjordIII, AQUAREG, MGG, MG Sore Sunnmore, Saltstraumen MVO, Frisk Oslofjord)
Last metadata update: 2010-04-07T12:00:00Z
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Abstract:
Anchoring and mooring conditions in some coastal areas with detailed data coverage, as interpreted from bottom type (hard or soft bottom) and depth. It is distinguished between anchoring and mooring conditions. In this context mooring means the possibility for divers to mount bolts into exposed bedrock (to fasten marine installations), usually at depths less than 30m. Anchoring conditions mean the anticipated relative hold of anchors in the substrate.
The dataset provides an overview of modern sedimentary environment and processes on the seabed in terms of deposition, transportation and erosion of sediments.
The data on this theme is based on the content of the grain size map. Regional mapping on Norwegian continental shelf by MAREANO.
The datasett comprises a set of seabed sediment samples, that were collected and analysed by MAREANO programme. The top layer (0-2cm or 0-3cm) of the core samples from different sedimentary environments of the Norwegian and Barents Seas were analysed for microplast content: type of plast and number of particles per kilogram sediment dry weight. The largest number of microplastic particles was found in samples from the Norwegian Sea. The analyses were carried out by to different laboratories: University og Gent and Norwegian Geotechnical Institute.
Modelled distribution of marine biotopes in the Barents Sea, which reflects the regional variation in species composition and the physical environment. This biotope map, covering the entire Barents Sea, has been compiled in collaboration between the Geological Survey of Norway, the Norwegian Institute of Marine Research (IMR) and the Russian Polar Research Institute of Marine Fisheries and Oceanography (PINRO) in the frame of the Norwegian-Russian Environmental Commission Workplan for 2011-2013 and 2013-2015.
Marine Light-Mixed Layer Experiment 89, MAREANO, Marine grunnkart i Sør Sunnmøre, Marine Grunnkart i fem kommuner i Oforten (MLML89, MAREANO, MGG, MG Ofoten)
Last metadata update: 2010-04-06T12:00:00Z
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Abstract:
The map service shows the distribution of sediments, classified by grain size and genesis; Included in the service are layers og sediment thickness and sedimentation environment. Bacscatter data from multibeam echsounder measurements provides information about the relative harness of the bottom (hard or soft bottom).
Database of tagged salmonids (Atlantic salmon, brown trout and Arctic char). Carlin tags (smolt) and Lea tags (adult fish) that was tagged in the fish trap in Imsa river, Rogaland. Recapture of released fish.
Selected groups of organic contaminants (hydrocarbons - 48 PAH, THC, 27 brominated flame retardants – PBDE, chlorinated contaminants – 9 PCB and 9 chlorinated pesticides), inorganic composition and physical properties are measured in surface and near-surface sediments from the Norwegian continental shelf in the Barents and Norwegian Seas since 2006. Several sampling cruises each year deliver on average 10-20 new locations for investigation annually. The results are available as maps as well as detailed reports on www.mareano.no (updated by the end of each year). The Geological Survey of Norway (NGU) is responsible for analysis of the inorganic chemical composition and of physical parameters, while IMR is responsible for analysis of the organic compounds. Dating of selected sediment cores, based on radioisotopes Pb-210 and Cs-137, provides information on rates of sedimentation and accumulation of contaminants. In some selected cores C-14 is also used for dating. In addition the dataset contains the same data for sediment samples collected by IMR in 2003-2004.
National database of tagged salmonids (Atlantic salmon, brown trout and Arctic char). Carlin tags (smolt) and Lea tags (adult fish) from various tagging projects in Norway. Recapture of released fish.
Within the Marine Mammals Exploring the Oceans Pole to Pole (MEOP) program, several international teams agreed to share their CTD-SRDL data sets to produce a single, uniformly calibrated, homogeneous database of hydrographic profiles. Here we present the MEOP-CTD database, a quality-controlled collection of most seal-derived hydrographic data obtained in the period 2004–2010.
The MEOP-CTD database includes 349 CTD-SRDLs, representing 165,000 TS profiles.
The majority of loggers were deployed on elephant seals, with a lesser number on Weddell and crabeater seals.
On average, profiles are 500 m deep, although some seals occasionally reach 2000 m or more.
The MEOP-CTD collection of profiles produces near circumpolar coverage, although some regions such as the Weddell and Ross Seas remain poorly sampled.
More than 60% of TS profiles were obtained south of the southern limit of the ACC, where few Argo data exist. The migration distance of seals depends highly on the deployment location and time of the year, ranging from 100 km to more than 5000 km, while the life span of a CTD-SRDL varies from 1 to 10 months (5 months on average). The bulk of measurements were made in the austral autumn and winter, when other in situ data are scarce, yielding hydrographic sections with high spatial and temporal resolution (2.5 profiles per day on average).
The files in this dataset contains raw datafiles from a NORTEK Signature rig. The rig was deployed in a fixed position just north of the South Orkney Islands in the Southern Ocean. The data is from a Signature 100 instrument, this instrument combines a 4 beam acoustic doppler current profiler with a vertically oriented echosounder (5.th beam, upwards looking). Information on instrument settings used etc. can be found in the binary files (NORTEK proprietary ad2cp format). For extraction of echosounder data we recommend NORTEK software, but these files are also readable using for instance the software packages of the IMOS toolbox (https://help.aodn.org.au/aodn-data-tools/imos-toolbox/). The current meter data in the files are also readable using the “oce” package (https://github.com/dankelley/oce) available under the software environment “R” ( R Core Team (2020). R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. URL https://www.R-project.org/.)
The purpose of all this deployments was to study krill behaviour and the advective environment in a “krill hotspot”, an area with high importance to krill predators, both natural and human, as part of the NFR funded “SWARM” project (RCN 267416 “From swarming behaviour to trophic interactions: forecasting dynamics of Antarctic krill in ecosystem hotspots using behaviour-based models”).
MAREANO, Marine grunnkart i Astafjord, fase III, Marine grunnkart i Sør Sunnmøre, Marine Grunnkart i fem kommuner i Oforten (MAREANO, AstafjordIII, MGG, MG Ofoten)
Last metadata update: 2010-04-07T12:00:00Z
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Abstract:
The map service shows levels of heavy metals and other inorganic environmental indicators in surface sediments in Norwegian fjords and on the Norwegian continental shelf.
The data shows a modelled distribution of seabirds in open sea, based on a two-step model on transect counts of seabirds in Norwegian waters in 10x10 square kilometre resolution. The maps consist of 10x10 km2 grid and shows predicted abundance of the species based on two-step analysis (see Data Analysis) of data available over the distribution of seabirds in Norwegian and adjacent sea areas (see Dataset) in winter season. Along with the maps we also present uncertainty in predictions that 95% confidence intervals and standard error. The confidence intervals were not possible to define at very low densities. It is important to note that uncertainty does not allow for systematic errors caused by differences in detectability (see Methods). Conspicuous species that often follows after the vessel is systematically overestimated. This is especially true species fulmars, kittiwakes, herring gulls, black-backed gulls and gull. Small dark species diver is probably equivalent underestimated. This is especially auks: auk, puffin, razorbills, murres and guillemots. Abundance estimates should be regarded as indexes.
The map service shows the bottom of the North-East Atlantic and the Barents Sea divided into large geographical areas with a visually homogeneous character (marine landscapes).
MAREANO, AQUREG, GEOS Oslofjorden, Marine grunnkart i Soer-Troms, Marine grunnkart i Astafjord, fase III, Marine grunnkart i Sør Sunnmøre, Marine grunnkart i Sogn og Fjordane, Marine Grunnkart i fem kommuner i Oforten (MAREANO, AQUREG, GEOS Oslofjorden, Astafjorprosjektet, AstafjordIII, MGG, MG_SFJ, MG Ofoten)
Last metadata update: 2010-09-28T12:00:00Z
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Abstract:
This geologically interpreted data is based on grain size distribution, and indicates how easy it would be to dig into the sea floor, and how stable the dugout depression would be. Sandy sediments, for example, will collapse more quickly after digging a trench than the sediments with finer grain size.