The SIOS Data Management Service (SDMS) integrates information from SIOS partner data repositories into a unified virtual data centre, the SIOS Data Access Portal, allowing users to search for and access data regardless of where they are archived. Providers and users have to commit to the SIOS data policy.
The current focus is on dataset discovery through standardised metadata, and retrieval, visualisation & transformation of data. Ultimately, the Data Management Service works towards integration of datasets which requires a high level of interoperability at the data level.
SDMS currently harvests information on SIOS relevant datasets from a number of data centres (see below), some hosted by SIOS partners and some not. Data centres hosted by SIOS partners work to harmonise access to the data allowing integrated visualisation etc for the relevant datasets.
Data centres SDMS is harvesting information from.
SIOS partner data centres
Other
AWI (DE)
British Antarctic Survey
CNR (IT) - temporarily disabled due to server issues
National Snow and Ice Data Center
IGPAS (PL)
IMR (NO)
IOPAN (PL)
MET (NO) - weather stations have not been updated for a while, update in progress
NERSC (NO)
NILU (NO)
NIPR (JP)
NPI (NO)
UiS (PL)
Citation of data and service
If you use data retrieved through this portal, please acknowledge our funding source: Research Council of Norway, project number 291644, Svalbard Integrated Arctic Earth Observing System – Knowledge Centre, operational phase.
Always remember to cite data when used!
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)
SIOS recommends all partner data repositories to mint Digital Object Identifiers (DOI) on all datasets. The information required to properly cite a dataset is normally provided in the discovery metadata the datasets.
SIOS Core Data
In order to find SIOS Core Data please use the searchable item marked "Collection" on the right hand side of the map and select "SIOSCD". Quick access to SIOS Core Data is provided here.
Nansen Legacy Data
The Nansen Legacy project is using the SIOS Data Management system as the data portal. Quick access to all Nansen Legacy related datasets is available here.
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 from the drop down above the text field and prefixing words with '+' to require their presence and '-' to require their non presence.
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.
Det mest detaljerte, heldekkende kartdatasettet for landarealet av Svalbard. Produktet har et innhold som i all hovedsak tilsvarer kartserien Svalbard 1:100 000. Produktet oppdateres flere ganger årlig.
The most detailed Svalbard land covering map dataset. The product has a content which on the whole corresponds to the map series Svalbard 1:100 000. The product is updated several times yearly.
Quality
Deler av kartdataene er av eldre dato og ikke egnet for navigasjon. Datakvaliteten er angitt på objektnivå i kartdatasettene (SOSI-egenskapene målemetode og nøyaktighet). Høydeangivelse på punkt- og nodenivå er kun angitt i SOSI-filene.
Parts of the map data are of older dates and not suited for navigation. Data quality is indicated on object level in the map datsets (the SOSI attributes “målemetode” (measuring method) and “nøyaktighet” (accuracy). Elevation on point and node level is present only in the SOSI files.
Dette geologiske kartet fra Norsk Polarinstitutt har blitt produsert med tanke på å brukes på smart-telefon, nettbrett eller PC uten nett-tilkobling, for eksempel til feltarbeid eller som et hendig oppslags-kart. Kartet består av 5 raster-filer i GIS-formatet JPEG2000 og er tilgjengelig som nedlasting fra datasenteret til Norsk Polarinstitutt
Informasjon om de geologiske enhetene er plassert som tekst-merkelapper direkte i kartbildet, i motsetning til en vanlig tegnforklaring. Ved å zoome inn på kartet finnes informasjon om geologiske enheter, vist med blå tekst (alder i parentes). I tillegg er hvert enhet (farge) merket med en tilsvarende 4-sifret kode i blå skrift.
I felten kan mobile dingser med GPS vise brukeren sin posisjon på kartet. Avhengig av skjermoppløsning er full detaljgrad i kartet synlig på ca. 1:30 000-skala, men kartet kan også vises på mye større skala for å se f.eks. regionale geologiske trekk.
Kartet kan vises på Android eller iOS-enheter med appen “Geoviewer” fra Extensis (tidligere Lizardtech). På datamaskin fungerer QGIS eller ArcMap bra for å vise kartet. Se forklaring på hvordan overføre kartet til din smart-telefon eller nettbrett lenger nede på sida.
Data
Kartet er laget ved å bruke data fra Norsk Polarinstitutt 1:250 000-skala geologiske kart for Svalbard, opprinnelig publisert i “Geoscience Atlas of Svalbard” av Dallmann (ed.) 2015. Dette kartet er generalisert fra 1:100 000-skala kart-data i hovedkartserien til Norsk Polarinstitutt, og er publisert i Geoscience Atlas of Svalbard (Dallmann 2015).
Til å produsere dette kartet er topografiske data fra S100 (topografi, vann) og S250 (kystlinje)-datasettene fra Norsk Polarinstitutt brukt. Fjellskygge er konstruert med S0 Terrengmodell med 20 meter pr. pixel oppløsning. Bre og snøflekk-områder er vist med datasettet for 2001-2010 av König mfl. (2013), som gir et mer oppdatert bilde av blotning-situasjonen nær breer og snøflekker. Områder der geologiske polygoner ikke er justert til nye blotninger er vist i brunt. Kystlinjen er i noen tilfeller endret for å tilpasses bre-fronter som ender i sjøen.
Forbehold om datakvalitet Dette er et nytt geologisk kartprodukt, og det kan forekomme feil. Spesielt tegnforklaring, som er skrevet direkte på geologiske enheter, kan være problematisk i noen områder. Vi er interessert i tilbakemelding på mulige forbedringer av kartet. Send gjerne tilbakemeldinger på e-post til Geokart@npolar.no.
Dette er et geologisk kart ment for å formidle vitenskapelige data, og er ikke egnet for navigasjon. Noen områder av Svalbard er ennå ikke kartlagt i detalj, og en del av dataene er av eldre dato, så datakvaliteten for dette kartet er varierende. Kartet kan inneholde feil i grunnlagsdata, kartpresentasjon, kartografi og tekst-beskrivelser. For en stor del er geologien kartlagt for en mindre detaljert skala enn den det er mulig å oppnå med dette kartproduktet, så geologiske trekk og enheter vil i ulik grad fremstå feilplassert ved bruk av god GPS-posisjon og detaljert zoom-nivå. Breer og spesielt bre-fronter er i konstant forandring, og selv om ganske oppdaterte data er brukt for å lage kartet, vil det være feil i en del bre-posisjoner. Vær oppmerksom på at det topografiske grunnlaget som er brukt her i mange tilfeller er av nyere dato enn det som opprinnelig var brukt under kartleggingen i felt. Dette kan også føre til feil i kartet.
Geologiske kart-data vil kontinuerlig være gjenstand for re-tolkning og endring. For en full beskrivelse av kartleggingsprogrammet ved Norsk Polarinstitutt, geologiske kart-data presentert her og referanser, se Dallmann (ed.) 2015, eller besøk npolar.no
Hvordan overføre kartet til mobilenheter
Direkte nedlasting Kartet kan nå lastes ned direkte til mobilenheten via lenker øverst. Det er 5 linker, en for hvert område. Enten lagres filene på enheten, eller du vil få et valg om å åpne fila direkte i Geoviewer. NB: Sørg for at det er nok ledig lagringsplass på mobilenheten og vær oppmerksom på fil-størrelsen (550 MB), spesielt hvis det er et betalt internett-abonnenement.
Via PC, kabel eller Dropbox:
NP_S250_Geologi_mobilkart kan brukes direkte i GIS-systemer på PC, mens for bruk på nettbrett og mobil anbefales gratis-appen Geoviewer fra Lizardtech.
Etter å ha lastet ned til PC og pakket opp ZIP-filene, kan kartene for Android-enheter eksempelvis overføres til ønsket plassering på enheten via USB-kabel. For iOS-enheter kan en bruke f.eks. nettjenesten Dropbox som kanal fra PC til enhet. Når kartene er lagret på enheten, kan en legge til de kartrutene en ønsker fra menyen i Geoviewer.
Abstract This geological map from the Norwegian Polar Institute has been prepared to be used offline on a smartphone, tablet or computer, for example for field work or a handy reference. It consists of 5 raster-files in the JPEG2000 GIS-format, available to download from the Norwegian Polar Institute data centre data.npolar.no via https://data.npolar.no/dataset/eafafbb7-b3df-4c71-a2df-316e80a7992e/.
Information about the geological units has been placed as text labels (in blue typescript) directly on the map, as opposed to a regular legend. By zooming in, information about each geological unit on the map can be found, shown in blue text (age in parentheses). In addition, each unit is labelled with a corresponding 4-digit code also in blue typescript.
In the field, GPS-enabled devices can show the user’s location on the map. Depending on screen resolution, full detail of the map (including text labels) is best viewed at ca. 1:30 000 scale, but the map can also be viewed at much larger scales to see e.g. regional geological features.
For mobile use, the app “Geoviewer” from Extensis (formerly Lizardtech) can be used. On a computer, QGIS works well to view these maps. See an explanation below on how to transfer the map to your tablet or smartphone.
Data
The map is made using data from the Norwegian Polar Institute 1:250 000-scale geological map for Svalbard, originally published in Dallmann (ed.) 2015. This geological map has been generalised from the 1:100 000-scale main map series published by the Norwegian Polar Institute, and is published in Geoscience Atlas of Svalbard (Dallmann 2015).
For the purpose of this map product, topographic data from the Norwegian Polar Institute S100 Map (topography, water) and S250 (coastline) data sets have been used. Hill shade was created using the NPI S0 Terrengmodell at 20 meters/pixel resolution. Glacier and snow patch outlines are shown using the 2001-2010 dataset of glacier area outlines for Svalbard by König et al. (2013), which gives a more up to date picture of the outcrop situation near glaciers or snow patches. Areas where geology polygons have not been re-adjusted to the new outcrops are shown in brown. The coast line-data has been adjusted in some cases to adapt to glacier fronts ending in the sea.
Disclaimer This is a new geological map product, and errors may occur. In particular the legend, which have been printed directly on the geological units, can be problematic in places. We appreciate feedback on the map that can be used to improve the map in future versions. Please email feedback to Geokart@npolar.no.
This is a geological map meant to convey scientific data, and is not suited for navigation. This map product may contain errors in base data, map presentation, cartography and text descriptions. Much of the geology was originally mapped for a less detailed scale than what is possible to obtain with this map, so geological features will to varying degrees appear out-of place when a good GPS-position and detailed zoom level is used. Glaciers and in particular glaciers fronts are dynamic features, and although using fairly up-to-date data, this map does contain errors in glacier front positions. Note that the topographic base data used here in many cases is of a newer vintage than the data originally used for geological mapping in the field. This may cause some errors in the map. Some areas of Svalbard have not yet been mapped in detail and some of the data are of older origin, so the data quality presented on this map is variable.
Geological map data will be subject to continual re-interpretation and editing. For a full description of the bedrock mapping programme at the Norwegian Polar Institute, the geological map data presented here and references, see Dallmann (ed.) 2015.
How to transfer the map to mobile devices
Direct download The map can now be downloaded directly to mobile devices via the links above. There are 5 files, one for each area. Either the files will be stored on the device, or you will be presented with an option to open the files directly in Geoviewer. NB: Make sure there is enough storage space on the mobile device and be advised of large file sizes (550 MB), especially if using a metered internet connection.
Via computer, cable or Dropbox:
NP_S250_Geologi_mobilkart can be used directly in GIS systems on computers, or through e.g. the app Geoviewer from Lizardtech for tablets and smartphones.
After download and unzipping to a computer, the maps can be transferred to desired folder on an Android unit e.g. through an USB cable. For iOS units, using e.g. the web service Dropbox as a channel from the computer to the unit can be applied. When the maps are stored on the unit, the desired tiles can be added to Geoviewer from the app menus.
March 2019: • Updated documentation • User friendliness: Data set is now available as 5 files that can be directly downloaded to mobile devices. Tested for Android-units. • Standardized file names
Endringslogg
Mars 2019: • Oppdatert dokumentasjon • Brukervennlighet: datasettet tilbys i 5 filer som kan lastes ned direkte til mobilenheten. Testet for Android-enheter. • Standardiserte filnavn
This is a bedrock geological map of Jan Mayen distributed as vector files, a georeferenced raster and a related non-spatial lithostratigraphy table.
The map was compiled by W.K. Dallmann and published in Gabrielsen et al. (1997). A version was also published in Dallmann (2014), and the geology of this current edition is equivalent to that publication. The compilation was based on Imsland (1978), Roberts and Hawkins (1965) and Siggerud (1972, 1986)
Offline-kart over Jan Mayen tilsvarende zoomnivået for 1:40 000 i cachetjenesten NP_Basiskart_JanMayen_WMTS_25829 / Offline map of Jan Mayen equivalent to the zoom level for 1:40 000 in the cache service NP_Basiskart_JanMayen_WMTS_25829
Kartet er i GeoTIFF-filformatet, og egnet for bruk i GIS og kart-apper for Android og iOS, f.eks. GeoViewer. Filstørrelse ca. 13MB. / The map is in GeoTIFF file format, and suited for use in GIS and map apps for Android and iOS, e.g. GeoViewer. File size approx. 13MB.
Det er 6 arealplanområder på Svalbard vedtatt i forskrift 2002-06-28 nr 650: Forskrift om konsekvensutredninger og avgrensing av arealplanområdene på Svalbard (https://lovdata.no/dokument/SF/forskrift/2002-06-28-650). Innafor arealplanområdene kan planansvarlig utarbeide arealplaner etter kapittel VI i Svalbardmiljøloven.
Arealplaner på Svalbard følger et forenklet system i forhold til arealplaner etter Plan- og bygningsloven. Det er kun et plannivå og det plansystemet er i seg selv enklere oppbygd.Det er kun innafor arealplanområdene det kan utarbeides arealplaner. Arealplanområdene er fastsatt i forskrift om konsekvensutredninger og arealplanområder på Svalbard.I Longyearbyen arealplanområde er Longyearbyen lokalstyre planmyndighet. I de andre arealplanområdene er Sysselmesteren planmyndighet, men den aktuelle aktøren er planansvarlig.
- Ny-Ålesund arealplanområde: Kings Bay as er planansvarlig.
- Sveagruva arealplanområde: Store norske Spitsbergen Grubekompani AS er planansvarlig.
- Barentsburg arealplanområde: Trust Arkticugol er planansvarlig.
- Coles bay arealplanområde: Trust Arkticugol er planansvarlig.
- Pyramiden arealplanområde: Trust Arkticugol er planansvarlig.
Alle arealplanområdene på Svalbard har gyldige arealplaner. I en del av områdene er det i tilleg utarbeidet en rekke delplaner.
The archipelago of Svalbard presently contains approximately 33,200 km2 of glaciers, with a large number of small valley glaciers as well as large areas of contiguous ice fields and ice caps. While a first glacier inventory was compiled in 1993, there has not been a readily available digital version. Here we present a new digital glacier database, which will be available through the GLIMS project. Glacier outlines have been created for the years 1936, 1966-71, 1990, and 2001-2010. For most glaciers, outlines are available from more than one of these years. A complete coverage of Svalbard is available for the 2001-2010 dataset. Glacier outlines were created using cartographic data from the original Norwegian Polar Institute topographic map series of Svalbard as basis by delineating individual glaciers and ice streams, assigning unique identification codes relating to the hydrological watersheds, digitizing center-lines, and providing a number of attributes for each glacier mask. The 2001-2010 glacier outlines are derived from orthorectified satellite images acquired from the SPOT-5 and ASTER satellite sensors. In areas where coverage for all time periods is available, the overwhelming majority of glaciers are observed to be in sustained retreat over the period from 1936-2010.
This study was conducted in a collaboration between the Department of Geoscience, University of Oslo, and the Norwegian Polar Institute, it was supported by the European Space Agency (ESA) through the projects Glaciers_CCI (4000101778/10/I-AM) and Cryoclim, which is also supported by the Norwegian Space Centre.
A 20m DEM mosaic in UTM33 projection with newest NPI products and filtered ASTER GDEM elsewhere (South Spitsbergen and NW tip of Spitsbergen). Time span is mostly 2008-2012 for elevations, and the extent has been cut to the coastline of 2015.
On Svalbard, the long-lasting snow cover and the timing of the snowmelt is a crucial factor in the yearly cycle of all land ecosystems. To monitor the timing and patterns of snow melt, automatic camera systems have been set up at three locations overlooking key research areas near Ny-Ålesund, Svalbard. All images are provided in daily resolution, and the date coded in the filename as yyyy-MM-dd. This work was funded by SMACS (project no. 236768 / E10; Svalbard Science Forum, Research Council of Norway). ** For all details see the full metadata description at "https://doi.pangaea.de/10.1594/PANGAEA.846617"!
Effect of snow depth and snowmelt timing on arctic terrestrial ecosystems (SnoEco) (SnoEco)
Institutions: Department of Arctic and Marine Biology, UiT – The Arctic University of Norway
Last metadata update: 2022-11-15T13:56:05Z
Show more...
Abstract:
These photos were collected with a time-lapse camera installed on top of a hill looking out over Adventdalen on Svalbard to monitor tundra vegetation. The photos have gone through a manual quality check and were automatically adjusted with an algorithm to correct for lateral movements. Black borders are placed around the photos to provide space for these adjustments.
Effect of snow depth and snowmelt timing on arctic terrestrial ecosystems (SnoEco) (SnoEco)
Institutions: Department of Arctic and Marine Biology, UiT – The Arctic University of Norway
Last metadata update: 2022-11-15T13:56:05Z
Show more...
Abstract:
These photos were collected with a time-lapse RGB camera installed on a 2 meter high metal rack to monitor tundra vegetation. The photos have gone through a manual quality check and were automatically adjusted with an algorithm to correct for lateral and rotational movements. Black borders are placed around the photos to provide room for these adjustments. The mask included with this data was used to calculate Green Chromatic Channel (GCC), a vegetation index, to compare with NDVI data recorded in parallel.
Effect of snow depth and snowmelt timing on arctic terrestrial ecosystems (SnoEco) (SnoEco)
Institutions: Department of Arctic and Marine Biology, UiT – The Arctic University of Norway
Last metadata update: 2022-11-15T13:56:05Z
Show more...
Abstract:
These photos were collected with a time-lapse RGB camera installed on a 2 meter high metal rack to monitor tundra vegetation. The photos have gone through a manual quality check and were automatically adjusted with an algorithm to correct for lateral and rotational movements. Black borders are placed around the photos to provide room for these adjustments. The mask included with this data was used to calculate Green Chromatic Channel (GCC), a vegetation index, to compare with NDVI data recorded in parallel.
Effect of snow depth and snowmelt timing on arctic terrestrial ecosystems (SnoEco) (SnoEco)
Institutions: Department of Arctic and Marine Biology, UiT – The Arctic University of Norway
Last metadata update: 2022-11-15T13:56:05Z
Show more...
Abstract:
These photos were collected with a time-lapse RGB camera installed on a 2 meter high metal rack to monitor tundra vegetation. The photos have gone through a manual quality check and were automatically adjusted with an algorithm to correct for lateral and rotational movements. Black borders are placed around the photos to provide room for these adjustments. The mask included with this data was used to calculate Green Chromatic Channel (GCC), a vegetation index, to compare with NDVI data recorded in parallel.
Effect of snow depth and snowmelt timing on arctic terrestrial ecosystems (SnoEco) (SnoEco)
Institutions: Department of Arctic and Marine Biology, UiT – The Arctic University of Norway
Last metadata update: 2022-11-15T13:56:05Z
Show more...
Abstract:
These photos were collected with a time-lapse RGB camera installed on a 2 meter high metal rack to monitor tundra vegetation. The photos have gone through a manual quality check and were automatically adjusted with an algorithm to correct for lateral and rotational movements. Black borders are placed around the photos to provide room for these adjustments. The mask included with this data was used to calculate Green Chromatic Channel (GCC), a vegetation index, to compare with NDVI data recorded in parallel.
Effect of snow depth and snowmelt timing on arctic terrestrial ecosystems (SnoEco) (SnoEco)
Institutions: Department of Arctic and Marine Biology, UiT – The Arctic University of Norway
Last metadata update: 2022-11-15T13:56:05Z
Show more...
Abstract:
These photos were collected with a time-lapse RGB camera installed on a 2 meter high metal rack to monitor tundra vegetation. The photos have gone through a manual quality check and were automatically adjusted with an algorithm to correct for lateral and rotational movements. Black borders are placed around the photos to provide room for these adjustments. The mask included with this data was used to calculate Green Chromatic Channel (GCC), a vegetation index, to compare with NDVI data recorded in parallel.