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.
The A-TWAIN cruise onboard R/V Lance in September 2012 covered the region north of Svalbard for mooring deployments and transects across the Atlantic Water inflow along the continental slope. Depth-profiles of Chlorophyll a fluorescence were recorded with a Wetlab ECO-AFL/FL fluorometer mounted on the CTD rosette and integrated with the SBE911 system. Fluorometer measurements were calibrated against in situ Chlorophyll a (Reigstad et al., 2023) using linear regression to derive vertical profiles of absolute Chlorophyll a concentrations.
The study was funded by the Fram Centre project A-TWAIN, project no. 66050.
Temperature, salinity and other parameters from CTDs, and currents from ADCPs and single-point current meters, from moorings covering the Svalbard Branch of the Atlantic Water inflow over the upper slope north of Svalbard, Sep 2012 to Sep 2103.
Data processed with standard software from the instrument manufacturers, and calibrated with in situ water bottle analysis and post-cruise calibration.
Sperm whale presence at eight different locations between 2012-2021 around Svalbard, Norway, detected using an automated detector and validated manually (visually on spectrograms, and aurally). Daily environmental data for all years and locations used for statistical models (Eastern Fram Strait & Isfjorden recording sites), and for plotting figures for each location.
For exact location coordinates, deployment periods and recording schemes, see Table 1 in publication.
Variables in “sperm_whale_vocal_presence_all_locations.xlsx” :
- Location == recording site
- Year == recording year
- Month == recording month
- Dttime == date and time (hour) of the recording
- Sperm_whale == sperm whale presence as ‘1’ for vocal presence and ‘0’ for vocal absence.
Variables in “environmental_data_all_locations.xlsx” :
- Date == Date (month/day/year)
- Chlorophyll_daily_mean == Daily chlorophyll concentration (mg/m-3) averaged over a 50km area around the hydrophone location
- Primary_production_daily_mean == Daily primary production concentration (mg/m-3) averaged over a 50km area around the hydrophone location
- Zooplankton_daily_mean == Daily zooplankton concentration (g/m-2) averaged over a 50km area around the hydrophone location
- Sea_surface_temperature_daily_mean == Daily sea surface temperature (°C) averaged over a 50km area around the hydrophone location
- Very_close_drift_ice == Proportion of the 50km area around the hydrophone location that is covered by this ice category
- Close_drift_ice == Proportion of the 50km area around the hydrophone location that is covered by this ice category
- Very_open_drift_ice == Proportion of the 50km area around the hydrophone location that is covered by this ice category
- Open_water == Proportion of the 50km area around the hydrophone location that is covered by this ice category
- Fast_ice == Proportion of the 50km area around the hydrophone location that is covered by this ice category
- total_ice extent == Proportion of the 50km area around the hydrophone location that is covered by ice (all categories but “open_water” pooled together).
Environmental data were retrieved from reanalysis datasets using EU Copernicus Marine Service Information: Chlorophyll mass concentration and net primary production of biomass were obtained in 0.25° × 0.25° spatial resolution (https://doi.org/10.48670/moi-00019); zooplankton mass content expressed as carbon in sea water were obtained in 0.083° × 0.083° spatial resolution (https://doi.org/10.48670/moi-00020); and sea surface temperature was obtained in 0.05° × 0.05° spatial resolution (Goold et al., 2020; https://doi.org/10.3390/rs12040720). Daily sea ice data was retrieved from the Norwegian Meteorological Institute (https://cryo.met.no/) .
This dataset is a collection of averaged acid-corrected Chlorophyll a (Chla) and phaeopigments, and inorganic nutrient measurements taken as part of the A-TWAIN project during a cruise onboard RV Lance in September 2012, covering the Atlantic Water inflow region north of Svalbard. Water samples were taken from the CTD rosette at 11-12 depths throughout the water column for determination of Chla, and inorganic nutrients (nitrate plus nitrite (NO3− plus NO2−), phosphate (PO43-) and silicic acid (Si(OH)4 )/silicate (SiO2);concentrations in mmol m−3). For Chla, triplicates of 200 ml were filtered onto GF/F glass microfiber filters (Whatman, England) and 10 µm Isopore membrane polycarbonate filters (Millipore, USA), and frozen until further processing back in the laboratory at UiT The Arctic University of Norway. At UiT, samples were extracted in 5ml of methanol in darkness at 4C for ca. 24 h (Holm-Hansen and Riemann, 1978) and measured with a 10-AU Turner fluorometer (Turner, USA). For inorganic nutrients, water samples of 200 mL were collected in acid-washed plastic bottles or in new and rinsed falcon tubes (3x 50 ml) and immediately frozen at -20C until further processing. Following standard methods (Grasshoff et al., 2009) back in the laboratory at UIT The Arctic University of Norway (Tromsø), three replicates were analyzed for each sample. Samples were measured with a Flow Solution IV Analyser (OI Analytical, USA) calibrated with reference sea water (Ocean Scientific International Ltd., UK). The detection limits were 0.02 mmol m−3 for nitrate plus nitrite, 00.1 mmol m−3 for phosphate and 0.07 mmol m−3 for silicic acid. The study was funded by the Fram Centre project A-TWAIN, project no. 66050.
Holm-Hansen, O., Riemann, B., 1978. Chlorophyll a determination: improvements in methodology. Oikos 30, 438–447. https://doi.org/10.2307/3543338. Grasshoff, K., Kremling, K., Ehrhardt, M., 2009. Methods of Seawater Analysis. John Wiley&Sons, Edition 3, pp. 632
Hydrographic and current time series data from outside the southern side of the Isfjorden Mouth during 6 September 2012 to 28 August 2013 at 78°03.643’ N; 013°31.327’ E, and 202 m depth. The mooring was deployed by the University Centre in Svalbard (UNIS) as a part of the AGF course “Polar Ocean Climate” to monitor inflow of Atlantic Water to Isfjorden, and was equipped with three Aanderaa Instruments recoding current meters (RCMs) with auxiliary CTD sensors covering the upper, the intermediate, and the bottom layer. Additionally, three SBE 37 MicroCAT CTDs and five VEMCO mini temperature loggers were evenly distributed over the water column. For further details of the mooring and data, see Skogseth et al. (2020).
Reference: Skogseth R., Olivier L.L.A., Nilsen F., Falck E., Fraser N., Tverberg V., Ledang A.B., Vader A., Jonassen M.O., Søreide J., Cottier F., Berge J., Ivanov B.V., and Falk-Petersen S. (2020). Variability and decadal trends in the Isfjorden (Svalbard) ocean climate and circulation – an indicator for climate change in the European Arctic, Progress in Oceanography, 187, DOI: doi.org/10.1016/j.pocean.2020.102394.
Quality
Pressure, temperature and salinity data have been despiked with a window size of 60 and a standard deviation of 2. Temperature and salinity data have been calibrated against nearby SBE 911+ CTD profiles taken during the deployment period. At the same time, care was taken to keep the water column stable.
This dataset includes Geophysical Institute (GFI), University of Bergen mooring SVI201209_A data. The mooring consists of 3 inst. (instrument type:instrument number(instrument depth)):RCM7:8438(100m) RCM7:11630(300m) RCM7:9993(480m) . Metadata and raw/processed time series are presented as NetCDF, text and pdf(plots with statistics, calibration sheets, mooring drawing) files.
Marine CO2 system data (total alkalinity (AT), and total dissolved inorganic carbon, CT) and nutrients such as nitrate+nitrite (NO3), phosphate (PO4) and silicic acid (Si(OH)4) were collected from the water column as part of the IMR repeat Vardø-N section (Barents Sea) and the A-TWAIN research program for the adjacent Nansen Basin, Arctic Ocean. Sampling were performed on two cruises in September 2012 on board the RV Johan Hjort (cruise #2012209) and RV Lance. The seawater samples were collected from a CTD-Rosette (12-Niskin bottle) following standard procedures and analyzed at Institute of Marine Research, Tromsø, Norway after the cruises following the method described in Dickson et al. (2007). DIC was determined using gas extraction of acidified samples followed by coulometric titration and photometric detection using a Versatile Instrument for the Determination of Titration carbonate (VINDTA 3D, Marianda, Germany). AT was determined by potentiometric titration with 0.1 N hydrochloric acid using a Versatile Instrument for the Determination of Titration Alkalinity (VINDTA 3S, Marianda, Germany). Routine analyses of Certified Reference Materials (CRM, provided by A. G. Dickson, Scripps Institution of Oceanography, United States) ensured the accuracy and precision of the measurements, which was better than ±2 and ±2 µmol kg-1 for DIC and AT, respectively. Description of the data set analytical methods and interpretation can be found in the annual report by Chierici et al., 2013 and Gerland et al., in review.
Sea water samples for the macronutrients nitrate+nitrite [NO3–+NO2-, referred as NO3- since NO2- is low in these samples], phosphate [PO43–], and silicic acid [Si(OH)4] were drawn from the Niskin bottles into 20 mL vials.
Samples from the Vardø-N section were preserved with chloroform and stored at 4 °C. Analysis were carried out using a Flow Solution IV analyzer from O.I. Analytical, United States, following Grasshof et al. (2009) at the Institute of Marine Research, Bergen, Norway. The uncertainty based on QUASIMEME ring-test were 0.4 µmol kg-1 for [NO3-+NO2–], 0.06 µmol kg-1 for [PO43–] and 0.7 µmol kg-1 for Si(OH)4, respectively. Samples collected on the A-TWAIN were stored dark and frozen at -20 C and analysed at the Arctic University of Norway-University in Tromsø. The analyzer was calibrated using reference seawater from Ocean Scientific International Ltd. UK. Three parallels were analyzed for each sample.
Data from Barents Sea is a contribution to the project “Monitoring ocean acidification in Norwegian waters/Havforsuringsovervåking i norske farvann” funded by the Norwegian Environment Agency (Miljødirektoratet) project# 17078007, and the data collected within the A-TWAIN program is funded by the Flagship program “Ocean acidification and effects in northern waters” within the FRAM-High North Research Centre for Climate and Environment. Data is also published in “Vannmiljø” as well as contributes to SDG 14.3.1 Indicator: Average marine acidity (pH)
This dataset includes Geophysical Institute (GFI), University of Bergen mooring SV_201209_D data. The mooring consists of 3 inst. (instrument type:instrument number(instrument depth)):SEAGUARD:645(34m) RCM7:12347(104m) SEAGUARD:646(204m) . Metadata and raw/processed time series are presented as NetCDF, text and pdf(plots with statistics, calibration sheets, mooring drawing) files.
This dataset includes Geophysical Institute (GFI), University of Bergen mooring SV_201209_A data. The mooring consists of 3 inst. (instrument type:instrument number(instrument depth)):RCM9:783(50m) RCM9:784(100m) SEAGUARD:464(182m) . Metadata and raw/processed time series are presented as NetCDF, text and pdf(plots with statistics, calibration sheets, mooring drawing) files.
This dataset includes Geophysical Institute (GFI), University of Bergen mooring SVI201209_B data. The mooring consists of 2 inst. (instrument type:instrument number(instrument depth)):RCM7:12313(1500m) RCM7S:6798(1900m) . Metadata and raw/processed time series are presented as NetCDF, text and pdf(plots with statistics, calibration sheets, mooring drawing) files.
Institutions: CH02L, Paul Scherrer Institut, PSI, Laboratory of Atmospheric Chemistry (LAC), OFLB, 5232, Villigen PSI, Switzerland, CH02L, Paul Scherrer Institut, PSI, Laboratory of Atmospheric Chemistry (LAC), OFLB, 5232, Villigen PSI, Switzerland
Last metadata update: 2021-02-11T00:00:00Z
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Abstract:
Ground based in situ observations of nephelometer at Bukit Kototabang (ID1013R). These measurements are gathered as a part of the following projects GAW-WDCA and they are stored in the EBAS database (http://ebas.nilu.no/). Parameters measured are: aerosol_light_backscattering_coefficient in aerosol (volume_backwards_scattering_coefficient_in_air_due_to_dried_aerosol_particles), aerosol_light_scattering_coefficient in aerosol (volume_scattering_coefficient_in_air_due_to_dried_aerosol_particles)
Institutions: KR04L, Korea Meteorological Administration, KMA/NIMS, National Institute of Meteorological Sciences, 33 Seohobuk-ro, Seogwipo-si, 63568, Jeju-do, Republic of Korea, KR04L, Korea Meteorological Administration, KMA/NIMS, National Institute of Meteorological Sciences, 33 Seohobuk-ro, Seogwipo-si, 63568, Jeju-do, Republic of Korea
Last metadata update: 2021-11-18T00:00:00Z
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Abstract:
Ground based in situ observations of nephelometer at Anmyeon-do (KR0100R). These measurements are gathered as a part of the following projects GAW-WDCA and they are stored in the EBAS database (http://ebas.nilu.no/). Parameters measured are: aerosol_light_backscattering_coefficient in pm10, aerosol_light_backscattering_coefficient in pm10, aerosol_light_backscattering_coefficient in pm10, aerosol_light_scattering_coefficient in pm10, aerosol_light_scattering_coefficient in pm10, aerosol_light_scattering_coefficient in pm10
Institutions: HU02L, Air Chemistry Group of the Hungarian Academy of Sciences, Departement of Earth and Environmental Sciences, Pannon University, 10 Egyetem, H-8200 VESZPRÉM, Hungary, HU02L, Air Chemistry Group of the Hungarian Academy of Sciences, Departement of Earth and Environmental Sciences, Pannon University, 10 Egyetem, H-8200 VESZPRÉM, Hungary
Last metadata update: 2021-02-11T00:00:00Z
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Abstract:
Ground based in situ observations of organic_carbon at K-puszta (HU0002R) using low_vol_sampler. These measurements are gathered as a part of the following projects ACTRIS, EMEP, GAW-WDCA, EUSAAR and they are stored in the EBAS database (http://ebas.nilu.no/). Parameters measured are: elemental_carbon in pm10 (mass_concentration_of_elemental_carbon_in_pm10_in_air), organic_carbon in pm10 (mass_concentration_of_organic_carbon_in_pm10_in_air), total_carbon in pm10 (mass_concentration_of_total_carbon_in_pm10_in_air)
Institutions: JP02L, Japan Meteorological Agency, JMA, Global Environment and Marine Department, 1-3-4 Ootemachi, Chiyoda-ku, 1008122, Tokyo, Japan, JP02L, Japan Meteorological Agency, JMA, Global Environment and Marine Department, 1-3-4 Ootemachi, Chiyoda-ku, 1008122, Tokyo, Japan
Last metadata update: 2022-03-19T00:00:00Z
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Abstract:
Ground based in situ observations of sun_tracking_filter_radiometer at Yonaguni (JP1029R). These measurements are gathered as a part of the following projects GAW-WDCA and they are stored in the EBAS database (http://ebas.nilu.no/). Parameters measured are: aerosol_optical_depth in aerosol (atmosphere_optical_thickness_due_to_ambient_aerosol_particles), aerosol_optical_depth in aerosol (atmosphere_optical_thickness_due_to_ambient_aerosol_particles), aerosol_optical_depth in aerosol (atmosphere_optical_thickness_due_to_ambient_aerosol_particles)