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.
As part of the "KROP - Kongsfjorden Rijpfjorden Observatory Programme" UiT The Arctic University of Norway and The Scottish Association for Marine Science maintain marine observatories (moorings) in two high-Arctic fjords in Svalbard: Kongsfjorden and Rijpfjorden. The observatories consists of an array of CTDs, temperature loggers, ADCPs and a sediment trap, in addition to various other instruments or installations that change from year to year. This dataset contains the CTD, PAR and fluorescence data from Kongsfjorden 2017-2018. Fluorescence data is given as raw voltage only, due to calibration and fouling issues. It is meant as an indication of the timing of the phytoplankton bloom, not as absolute chlorophyll a concentration. No post-recovery processing of light data (to correct for fouling) has been performed. The observatory layout is available in the mooring diagram provided.
Kongsfjorden Vessel presence derived from AIS data 2017-2018
Quality
Data from the Automatic Identification System (AIS) for vessels was obtained from The Norwegian Coastal Administration. Three different distance buffers (10, 25 and 50 km) were plotted around Kongsfjorden AURAL location. AIS location points contained information such as the Maritime Mobile Service Identity (MMSI, conveying the ship ID), position and time. These were combined with the distance buffers, and the points falling on land, related to buoys or not relatable to vessels, were eliminated (QGIS 3.16 Hannover). Then, csv files from the resulting interceptions were exported and analyzed in R (R version 4.0.5) to calculate the number of vessels per day in each area.
Variables: Date: date Vessel_10: Number of vessels within 10 km radius from the recorder per day Vessel_25: Number of vessels within 25 km radius from the recorder per day Vessel_50: Number of vessels within 50 km radius from the recorder per day V10: Number of vessels within 10 km radius from the recorder per day V25: Number of vessels between 10 to 25 km radius from the recorder per day V50: Number of vessels between 25 to 50 km radius from the recorder per day Acoustic: Number of acoustic detections of vessels per day
Power Spectral Densities were calculated using the PAMGuide package (Merchant et al. 2015) in MATLAB. The analysis was performed for the frequency band 10-4000 Hz (1 Hz resolution, 60s spectral averages, 50% overlap, Hanning window). The file is the raw output format provided by PAMGuide so it can be manipulated and visualized using the PAMGuide package in MATLAB.
Conductivity-Temperature-Depth (CTD) profiles from Norwegian Polar Institute (NPI) cruise FS2017 to the Fram Strait including auxiliary sensors. Fram Strait cruises are repeated annually, and a new data set is published for each cruise.
Please refer to the FS2017 cruise report for full information. Profiles were collected with a SBE911+ CTD system deployed over the side of research vessel Lance. Temperature profiles were measured using dual SBE 03 temperature sensors. Conductivity profiles were measured using dual SBE 04 conductivity sensors. Salinity profiles were calculated from temperature and salinity profiles. CDOM was measured using a WETLabs CDOM fluorometer (single sensor).
Profile data is from down casts only and made available in 1 decibar bins. Spurious data collected during the surface soak were removed before binning.
Data are made available as a single, self-documented netCDF file. Profile data are organised in tables with one column per cast and one row per depth bin. 1-dimensional metadata (such as time and position) are organised as a single row with one column per cast. All variables have the same number of columns, equal to the total number of CTD casts.
Kongsfjorden acoustic presence of marine mammals and anthropogenic noise manually counted for the period 2017-2018
Quality
Daily acoustic presence of the different sound sources (marine mammals, vessels and airguns) manually identified (except blue and fin whale, automatically detected using spectrogram correlation in Ishmael) during the manual inspection of spectrograms from each acoustic file (one file per hour) for the available data period 2017/2018 in Kongsfjorden, Svalbard. The Kongsfjorden AURAL recorder sampled 15 min each hour during the given data period.
Variables: dt: date Month: Categorical variable with the name of the month Week: number of week since beginning of the study period Walrus: acoustic presence of Odobenus rosmarus Bearded: acoustic presence of Erignathus barbatus Vessel: acoustic presence of vessel noise Odontocete: acoustic presence of odontocete-like whistle and tonal sounds non idetinfied to spp. level Airgun: acoustic presence of airgun blasts Humpback: acoustic presence of Megaptera novaeangliae Sperm: acoustic presence of Physeter macrocephalus Blue: acoustic presence of Balaenoptera musculus Fin: acoustic presence of Balaenoptera physalus Sei: acoustic presence of Balaenoptera borealis
Atmospheric profiles of temperature, humidity, wind speed and direction from radiosondes (Vaisala RS92-SGPL) released from ship, R/V Lance. A total of 27 radiosonde launches were conducted during the Fram Strait 2017 cruise from August 25th to 10th September 2017. Sondes were launched one or two times a day around 00 UTC and 12 UTC.
Quality
Data were logged and processed using the DigiCora program from Vaisala
Root Mean Squared (RMS) Sound Pressure Levels (SPL) were calculated for the one-Third Octave Level (TOL) bands centered at 63 Hz, 125 Hz and 250 Hz; and for the broadband 50-1000 Hz using PAMGuide package (Merchant et al. 2015) and custom-made MATLAB code. One RMS SPL value per file was obtained, averaging 15 min of recording in Kongsfjorden.
Variables: time: datetime TOL63HZ: Sound Pressure Level for the third octave level band centered at 63 Hz TOL125HZ: Sound Pressure Level for the third octave level band centered at 125 Hz TOL250HZ: Sound Pressure Level for the third octave level band centered at 250 Hz BB501000: Sound Pressure Level for the broadband 50-1000 Hz
Time-series data of sea ice and ocean by moorings off Barrow, Alaska from August 2017 to August 2019. This mooring experiment was carried out as a part of Arctic Challenge for Sustainability (ArCS) and the Seasonal Ice Zone Observing Network (SIZONet), under the collaboration between Hokkaido University and Univeristy of Alaska Fairbanks.
The surface motion of the glacier was measured by surveying 6 stakes (1.5-2.0 m long aluminium poles) installed in the ice of Qaanaaq ice cap. Dual-frequency GPS receivers and antennas (GNSS GEM-1) were used to measure the three-dimensional positions of the stakes. One antenna was fixed on the roof of Qaanaaq Club House as a reference station. At Q1701-Q1706, the antennae were mounted on the stakes and operated for more than 30 minutes in August 2017 and August 2018. These data were processed in static mode by the GPS software (RTKLIB) to compute the position of the stakes. Measurement errors were estimated below 10 mm.
Aluminium poles were installed in the ice on Qaanaaq ice cap to measure surface mass balance. Length from top of the poles to ice surface was measured. Measured length change of the poles converted in meters water equivalent.
Institutions: NO01L, Norwegian Institute for Air Research, NILU, Instituttveien 18, 2007, Kjeller, Norway, NO01L, Norwegian Institute for Air Research, NILU, Instituttveien 18, 2007, Kjeller, Norway
Last metadata update: 2023-05-11T00:00:00Z
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Abstract:
Ground based in situ observations of carbon_dioxide at Zeppelin mountain (Ny-Ålesund) (NO0042G) using online_crds. These measurements are gathered as a part of the following projects NILU and they are stored in the EBAS database (http://ebas.nilu.no/). Parameters measured are: carbon_dioxide in air (mass_fraction_of_carbon_dioxide_in_air), carbon_dioxide in air (mass_fraction_of_carbon_dioxide_in_air)
Institutions: NO01L, Norwegian Institute for Air Research, NILU, Instituttveien 18, 2007, Kjeller, Norway, NO01L, Norwegian Institute for Air Research, NILU, Instituttveien 18, 2007, Kjeller, Norway
Last metadata update: 2023-05-11T00:00:00Z
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Abstract:
Ground based in situ observations of carbon_monoxide at Zeppelin mountain (Ny-Ålesund) (NO0042G) using online_crds. These measurements are gathered as a part of the following projects EMEP, NILU and they are stored in the EBAS database (http://ebas.nilu.no/). Parameters measured are: carbon_monoxide in air (mass_fraction_of_carbon_monoxide_in_air), carbon_monoxide in air (mass_fraction_of_carbon_monoxide_in_air)
Institutions: NO01L, Norwegian Institute for Air Research, NILU, Instituttveien 18, 2007, Kjeller, Norway, NO01L, Norwegian Institute for Air Research, NILU, Instituttveien 18, 2007, Kjeller, Norway
Last metadata update: 2023-05-11T00:00:00Z
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Abstract:
Ground based in situ observations of methane at Zeppelin mountain (Ny-Ålesund) (NO0042G) using online_crds. These measurements are gathered as a part of the following projects EMEP, NILU and they are stored in the EBAS database (http://ebas.nilu.no/). Parameters measured are: methane in air (mole_fraction_of_methane_in_air), methane in air (mole_fraction_of_methane_in_air)
Institutions: SK01L, Slovak Hydrometeorological Institute, SHMU, Dep. of Atmospheric Chemistry, Jeseniova 17, 83315, Bratislava, Slovak Republic, SK01L, Slovak Hydrometeorological Institute, SHMU, Dep. of Atmospheric Chemistry, Jeseniova 17, 83315, Bratislava, Slovak Republic
Last metadata update: 2021-02-11T00:00:00Z
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Abstract:
Ground based in situ observations of filter_1pack at Starina (SK0006R). These measurements are gathered as a part of the following projects EMEP and they are stored in the EBAS database (http://ebas.nilu.no/). Parameters measured are: arsenic in pm10 (mass_concentration_of_arsenic_in_pm10_in_air), cadmium in pm10 (mass_concentration_of_cadmium_in_pm10_in_air), chromium in pm10 (mass_concentration_of_chromium_in_pm10_in_air), copper in pm10 (mass_concentration_of_copper_in_pm10_in_air), lead in pm10 (mass_concentration_of_lead_in_pm10_in_air), nickel in pm10 (mass_concentration_of_nickel_in_pm10_in_air), zinc in pm10 (mass_concentration_of_zinc_in_pm10_in_air)
License : EMEP: Public open access. We encourage contacting data originators if substatial use of individual time series is planned (fair use data policy).