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 and phrases embedded in quotation marks. Logical operators include AND, OR and NOT. Remember to add space around operators. Text strings that are not quoted are trated as separate words and will match any of the words (i.e. assuming the OR operator). E.g. in order to find WMO synoptic weather station data from Verlegenhuken use the search phrase: [synop AND verlegenhuken]. Searches are case insensitive.
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.
Collections
Collections allows the user to search in subsets of the existing catalogue. The collections are primarily data management projects that have been incorporated in the ADC catalogue after the project has ended. In this context the ADC is the long term access solution for these data. The collections currently served through ADC include (datasets may belong to multiple data collections):
ADC is the full collection of this service CC is the CryoClim collection
In order to search a specific data collection select that collection. If no data collection is selected all collections are searched.
AeN are data related to the Nansen Legacy project and are better explored through the SIOS Data Access Point using the collection defined there which is available through this URL.
SIOS, InfraNOR, SIOSCD, SIOSAP, SESS_* are collections related to SIOS. These are better explored through the SIOS Data Access Portal
Some cleaning is pending between InfraNOR and SIOSIN, for some of the SESS collections.
Citation of data and service
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)
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 Norwegian Meteorological Institute/Arctic Data Centre.
Institutions: The University Centre in Svalbard, The University Centre in Svalbard, The University Centre in Svalbard, The University Centre in Svalbard, Norwegian Meteorological Institute / Arctic Data Centre
The file contains time series of meteorological near-surface parameters measured on a temporary meteorological mast on the southern side of the coast of Adventdalen, Svalbard, from July to August 2022: Both temperature, humidity, wind speed, wind direction were measured at two levels.
Institutions: The University Centre in Svalbard, The University Centre in Svalbard, University of Bergen, University of Bergen, The University Centre in Svalbard, Norwegian Meteorological Institute / Arctic Data Centre
A scanning Doppler Lidar was placed in Adventdalen (Central Spitsbergen, Svalbard, Norway) close to the permanent weather mast SN99870. The Lidar measured between 4 July and 23 August 2022 with different scanning patterns in an hourly cycle. The cycle consisted of three Plan Position Indicator (PPI) scans at 1, 5 and 10 degree from xx:00 to xx:10, Range Height Indicator (RHI) scans alternating between up-valley and down-valley direction from xx:10 to xx:50, Doppler-Beam-Swinging (DBS) technique from xx:50 to xy:00. The radial resolution was 10 m with overlapping range gates of 50 m. Short periods of power cuts were encountered. Frequently there were conditions with little backscatter and low carrier-to-noise ratio, especially in light down-valley winds.
Geophone and Hydrophone deployments in Svalbard 2022, to measure the vibrations in sea ice following the appearance of cracks. For more information, see https://github.com/jvoermans/Geophone_Logger .
Seismic data obtained by field campaign in Langhovde Glacier during December 2021-February 2022. Research of Ocean-ice BOundary InTeraction and Change around Antarctica (ROBOTICA) : Langhovde Glacier field observations in 2021/22
Subglacial water pressure and acceleration data obtained by field campaign in Langhovde Glacier during December 2021-February 2022. Research of Ocean-ice BOundary InTeraction and Change around Antarctica (ROBOTICA) : Langhovde Glacier field observations in 2021/22 (Subglacial water pressure and acceleration in borehole 3)
Arctic Challenge for Sustainability, The Arctic Challenge for Sustainability II
Last metadata update: 2022-12-15T00:00:00Z
Show more...
Abstract:
Plant phenology timings, such as spring green-up and autumn senescence, are essential state information characterizing biological responses and terrestrial carbon cycles. Current efforts for the in-situ reflectance measurements are not enough to obtain the exact interpretation of how seasonal spectral signature responds to phenological stages in boreal evergreen needleleaf forests. This data set shows the in situ continuous measurements of spectral reflectance in a boreal forest in interior Alaska. We deployed two field-based spectroradiometer systems in an open black spruce forest. These two spectroradiometer systems were used to obtain canopy scale (overstory + understory) and understory reflectances. The data set includes the overstory and understory incoming and reflected hemispherical spectral irradiance data (Level 1), and spectral reflectance computed by the in- and out-going spectral data (Level 2). Because the reflected hemispherical irradiance contains the reflection from tower structure for overstory measurements. The further reflectance correction was applied for the measurements at the tower top level (Level 3).
The map service shows modeled geological parameters for seabed sediments. The first modeling has dealt with the storage of organic carbon in the North Sea and Skagerrak. The map layers provide an overview of sedimentation rates, concentrations of organic carbon (OK) and accumulation rates of organic carbon in the top ten centimeters of seabed sediments. Each of the three parameters are supplemented with a map layer, which shows the uncertainty in the estimated values.
This repository includes the datasets of meteorological profiles obtained by a drone over the Sea of Okhotsk during the cruise of Patrol Vessel Soya in February 2022. The data was used in a paper entitled "Wind speed measurement by an inexpensive and lightweight thermal anemometer on a small UAV" by J. Inoue and K. Sato.
10-day sea ice forecast was conducted using ocean-ice coupled model IcePOM (e.g., De Silva et al., 2020, Polar Geography) with the aim of supporting the Arctic cruise of R/V Mirai in 2022. For initialization of the model, ocean and ice variables are nudged to RIOPS analysis by ECCC. The forecast simulation is conducted each day using ECMWF 10-day atmospheric forecast for the boundary condition. The 10-day forecast is issued each day from Aug 5, 2022 to Sep 19, 2022.
Sea-surface gravity and geomagnetic measurements are conducted on board the R/V Shirase in the Southern Ocean. Sea bottom pressure is monitored with a pressure gauge installed and recovered every summer on the sea bottom about 4000 meter deep in the Southern Ocea
GNSS data obtained by field campaign in Langhovde Glacier during December 2021-February 2022. Research of Ocean-ice BOundary InTeraction and Change around Antarctica (ROBOTICA) : Langhovde Glacier field observations in 2021/22
UAV imagely obtained by field campaign in Langhovde Glacier during December 2021-February 2022. Research of Ocean-ice BOundary InTeraction and Change around Antarctica (ROBOTICA) : Langhovde Glacier field observations in 2021/22
Water pressure data obtained by field campaign in Langhovde Glacier during December 2021-February 2022. Research of Ocean-ice BOundary InTeraction and Change around Antarctica (ROBOTICA) : Langhovde Glacier field observations in 2021/22 (Water pressure in borehole 5)