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.
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.
Institutions: Norwegian Water Resources and Energy Directorate (NVE)
Last metadata update: 2024-03-13T11:33:04Z
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Abstract:
The climate change indicator products of glaciers in mainland Norway include surface mass balance and length change (from NVE’s field observations) and area changes (from satellite imagery and topographical maps) for a selection of glaciers. Glacier surface mass balance and glacier length change are obtained directly from NVE’s databases. https://glacier.nve.no/Glacier/viewer/CI/en/cc
Institutions: Norwegian Water Resources and Energy Directorate (NVE)
Last metadata update: 2024-03-13T11:33:04Z
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Abstract:
Glacier Periodic photos (GPP) from Norwegian glaciers. The photo series illustrate how the extent of a selection of Norwegian glaciers have changed. The pictures are not taken from the same position each year. The earliest photos are from the 1860s. The majority of the pictures are from the last 20 years. The number of photos per glacier varies. The source of the data is NVEs photo archive, with contributions from NVE collaborators. https://glacier.nve.no/Glacier/viewer/gpp/en/cc/
The dataset contains 2 archives. The first archive contains all data (saved as netCDF files) relative to the Figures presented in Boutin et al. (2023). The second archive contains monthly averaged fields (saved as netCDF files) of the simulation described in Boutin et al. (2023). They include quantities relative to sea ice properties (icemod files) and to the mass balance (ice growth/melt etc... simba files). They cover the north Atlantic and the Arctic Ocean (north of Bering Strait) for the period 2000-2018.
icemod_monthly.tar.gz contains the gridded monthly averaged quantities used in the manuscript "Modelling the evolution of Arctic multiyear sea ice over 2000-2018" for each year between 2000 and 2018.Multiyear ice variables are conc_myi (concentration of multiyear ice in a grid cell) and thick_myi (cell average thickness of multiyear ice in a grid cell, in metres), along with source and sink terms (units per day) for multiyear concentration (dci_mlt_myi, dci_ridge_myi and dci_rplnt_myi, for melt, ridging and replenishment) and volume (dvi_mlt_myi and dvi_rplnt_myi, for melt and replenishment).transports_monthly_sections.zip contains the transports of multiyear ice through the sections defining each region in Figure 8 of the paper. MYIsiaXport indicates multiyear ice area transport, while myiXport indicates multiyear ice volume transport.In case information is missing, do not hesitate to contact heather.regan@nersc.no, guillaume.boutin@nersc.no, or einar.olason@nersc.no.
The data has been collected during the Seasonal Pelagic Monitoring in Kongsfjorden from 2019 (ongoing). The dataset contains mesozooplankton occurrence. It has been sampled using a WP2 Closing Net, HydroBios 57 cm with a mesh size 180 µm. All specimens are identified to the lowest taxonomical level and the occurrence is given for a specific species and stage or size group as organismQuantity (ind/m3). Biomass (dry mass mg/m3) can be calculating using biomass conversion factor in the zooplanktonMaster file.
Sampling method:
The mesozooplankton has been sampled weekly at the station in the middle of the fjord outside Ny-Ålesund (Kb3) from May to August with less frequent sampling in July and August. In addition, a transect from the glacier front to the fjord moth including the stations Kb8, Kb5, Kb3 and Kb1, was sampled one to four times every season. All samples were collected using a WP2 net, HydroBios 57 cm with a mesh-size 180 µm with a closing device at three depth layers (0-50 m, 50-100m and 100-bottom). Samples were concentrated over a sieve of 180 um and preserved in 4 % formaldehyde free from acid.
Analyse method:
All samples have been analysed at the Institute of Oceanology of the Polish Academy of Sciences (IOPAN). The organisms were identified and counted under a stereomicroscope equipped with an ocular micrometer, according to standard procedures (Harris et al. 2000). Small-sized zooplankters (most of Copepoda, juvenile stages of Pteropoda, Euphausiacea, Ostracoda, Amphipoda and Chaetognatha) were identified and counted in sub-samples obtained from the fixed sample volume by automatic pipette (approximately 500 individuals). Large zooplankters (big Copepoda, Pteropoda, Euphausiacea, Ostracoda, Amphipoda, Decapoda, Appendicularia, Chaetognatha, and Pisces larvae) were sorted out and identified from the whole sample. Representatives of Calanus spp. were identified at the species level based on morphology and prosome lengths of individual copepodid stages (Kwasniewski et al. 2003).
Data structure:
The data follows Darwin Core nomenclature as far as possible but also includes variables not supported by Darwin Core. All information about the sampling such as eventDate, latitude, longitude, depts, etc. is located in the event file while the result such as scientificName, lifeStage, occurrence etc. are found in the occurrence file. The result file also contains some of the main event info.
Header name index - events
- expedition: project name (or abbreviation of name) and year
- eventDate: the date-time when an event occurred, using ISO 8601-1:2019 format (2020-07-27T07:16:03.446Z).
- fieldNumber: sample ID (e.g. ZOT-001)
- locationID: station name
- decimalLongitude: geographic latitude (in decimal degrees, using the spatial reference system given in geodetic datum)
- decimalLatitude: geographic longitude (in decimal degrees, using the spatial reference system given in geodeticDatum)
- bottomDepthInMeters: bottom depth in meters
- eventRemarks: comments or remarks about the event (free text field)
- gearType: the gear used to take the sample e.g. MultiNet 200 µm
- maximumDepthInMeters: bottom depth of the sampled layer
- minimumDepthInMeters: top depth of the sampled layer
- sampleType: description of the sample type according to a standard list
- fieldSplit: info about whether the sample is splitted. If the sample was split in 2 then fieldSplit = 2
- initialSampleVolume: The volume of water filtered through the plankton net. (initialSampleVolume = (netOpeningArea * (maximumDepthInMeters – minimumDepthInMeters)/field Split), WP2 opening area: 3.14*(0.57/2)^2=0.255m2
- recordedBy: name of the person who took the samples
- principalInvestigatorName: name of the person in charge of the sample collection
- principalInvestigatorEmail: email address of the person in charge of the sample collection
- principalInvestigatorInstitution: affiliated institution of the person in charge of the sample collection
Header name index - occurrence
- analysedFraction: fraction of the sampled volume that is examined for organism counted
- individualCount: the number of individuals present in the analysed volume (see extra information below)
- phylum, class, order, family, genus & taxonKey-LSID: Taxonomical information for given species according to Worms
- scientificName: full scientific name of the identified organism at the lowest taxonomic level that can be ascertained. The scientificName should be selected from a drop-down menu linked to the list in taxonomy sheet. (e.g Calanus finmarchicus).
- identificationQualifier: A standard term (sp., spp., and indet.) to express the determiner’s doubts about the Identification.
- lifeStage: the age class, life stage, or life form/morph of the organism.
- sizeGroupOperator: describes if the size group is less than or greater than a value (It = less than, gte = greater or equal to)
- sizeGroup: the size group in mm.
- organismRemark: indicates whether it is mesozooplankton, macrozooplankton, rare species
- identificationRemarks: a free text field for adding information relevant to the analysis. Used to indicate the speciemen that were dead. When nothing was remarked they were alive.
- identifiedBy: person who did the lab-analyse
- sampleSizeValue: the sample volume used to calculate the organismQuantity (sampleSizeValue 0 initialSampleVolume *analysedFraction)
- sampleSizeUnit: m3
- organismQuantity: the quantity of the organism per volume water in the environment (organismQuantity = individualCount/sampleSizeValue)
- organismQuantityType: ind/m3
Additional information for some of the fields
individualCount: The number of (all) organisms found in the sample examined
- for “mesozooplankton”, the number of mesozooplankton (medium size zooplankton organisms) encountered in all sub-samples
- for “macrozooplankton”, the number of macrozooplankton (large size zooplankton organisms, total length > 5 mm) encountered, identified in the entire sample
- for “rare” zooplankton, we only enter information about the finding of “rare” zooplankton in the database template, and its absolute number (“organismQuantity”) is not estimated
Funding:
The Seasonal Pelagic Monitoring is funded by the Norwegian Polar Institute
Datasets from Paulsen et al. (in prep) Emergent patterns between NDVI and plant biomass, summer temperature and tundra disturbance in a new time series from the high Arctic. Arctic Science. The datasets are part of the larger COAT vegetation monitoring in Svalbard (P.I. Virve Ravolainen).
Two datasets with biomass, summer temperature and disturbance, NDVI from drone and Sentinel-2 in plots (plot-level, 0.5 x 0.5 m) and within monitoring sites (site-level, 30 m diameter circle).
- loc/locality: Location of monitoring sites (adv=Adventdalen, bro=Brøggerhalvøya, sas=Sassendalen)
- site_id: the unique id of each monitoring site
- plot_id: the unique id of each plot within each monitoring site
- habitat: dry = dryas ridge habitat , mos = moss tundra habitat
- Drone NDVI (10 cm spatial resolution, NDVI captured with sequoia camera on fixed-wing eBeex drone)
- Sentinel-2 NDVI (10 m spatial resolution, Sentinel-2 L2A)
- Total biomass (total_biomass): total vascular plant biomass of main plant groups and species in grams per square meter
- Growing degree days (GDD): accumulated temperature above 1 degree C until ground sampling day for that monitoring site.
- Winter damage (winter_damage): Recordings of winter-damaged shrubs in plots on a scale from 1-8 (or mean per site).
- Biotic crust (biotic_crust): Recordings of biotic crust in plots on a scale from 1-12 (or mean per site).
- Goose grubbing (light_grubbing, severe_grubbing): Recordings of presence or absence of goose disturbance in plots (0=no goose grubbing, 1=light goose grubbing, 2=severe goose grubbing). On site-level it is the total number of plots for each category.
Institutions: MT01L, University of Malta, UoM, Department of Geosciences, MSD 2080, Msida, Malta, MT01L, University of Malta, UoM, Department of Geosciences, MSD 2080, Msida, Malta
Last metadata update: 2024-01-29T00:00:00Z
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Abstract:
Ground based in situ observations of aws at Giordan Lighthouse (MT0001R). 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: wind_direction in met (wind_from_direction), wind_speed in met (wind_speed), dewpoint_temperature in met (dew_point_temperature), relative_humidity in met (relative_humidity), temperature in met (air_temperature)
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: 2024-03-24T00:00:00Z
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Abstract:
Main greenhouse gases and carbon_monoxide at Zeppelin mountain (Ny-Ålesund). These measurements are gathered as a part of the following projects EMEP_NRT, NILU_NRT 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), carbon_monoxide in air (mass_fraction_of_carbon_monoxide_in_air), carbon_monoxide in air (mass_fraction_of_carbon_monoxide_in_air), methane in air (mole_fraction_of_methane_in_air), methane in air (mole_fraction_of_methane_in_air)
Institutions: IT04L, EC Joint Research Centre, EC-JRC-IES, Institute for Environment and Sustainability, Via Enrico Fermi 2749, 21027, Ispra, Italy, IT04L, EC Joint Research Centre, EC-JRC-IES, Institute for Environment and Sustainability, Via Enrico Fermi 2749, 21027, Ispra, Italy
Last metadata update: 2024-02-13T00:00:00Z
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Abstract:
Pm25_mass at Ispra. 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: pm25_mass in pm25 (mass_concentration_of_pm2p5_ambient_aerosol_particles_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: 2024-02-07T00:00:00Z
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Abstract:
Ground based in situ observations of online_crds at Birkenes II (NO0002R). These measurements are gathered as a part of the following projects NILU_NRT 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), carbon_monoxide in air (mass_fraction_of_carbon_monoxide_in_air), carbon_monoxide in air (mass_fraction_of_carbon_monoxide_in_air), methane in air (mole_fraction_of_methane_in_air), methane in air (mole_fraction_of_methane_in_air), water_vapor in air (mole_fraction_of_water_vapor_in_air), water_vapor in air (mole_fraction_of_water_vapor_in_air)
Institutions: SE01L, Swedish Environmental Research Institute, IVL, P.O.Box 47086, S-402 58 GÖTEBORG, Sweden, SE01L, Swedish Environmental Research Institute, IVL, P.O.Box 47086, S-402 58 GÖTEBORG, Sweden
Last metadata update: 2024-03-22T00:00:00Z
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Abstract:
Mercury_PBM at Pallas (Matorova). These measurements are gathered as a part of the following projects AMAP, EMEP and they are stored in the EBAS database (http://ebas.nilu.no/). Parameters measured are: mercury_PBM in aerosol
Institutions: DE60L, Technical University Munich and Helmholtz Center Munich, ZAUM, Centre of Allergy & Environment, Biedersteinerstrasse 29, 80802, Munich, Germany, DE60L, Technical University Munich and Helmholtz Center Munich, ZAUM, Centre of Allergy & Environment, Biedersteinerstrasse 29, 80802, Munich, Germany
Last metadata update: 2024-03-26T00:00:00Z
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Abstract:
Bioaerosols at München Biedersteiner (DEBIED). These measurements are gathered as a part of the following projects AutoPollen_NRT, PollenScience_NRT and they are stored in the EBAS database (http://ebas.nilu.no/). Parameters measured are: pollen_abies in aerosol, pollen_abies in aerosol, pollen_acer in aerosol, pollen_acer in aerosol, pollen_aesculus in aerosol, pollen_aesculus in aerosol, pollen_alnus in aerosol, pollen_alnus in aerosol, pollen_ambrosia in aerosol, pollen_ambrosia in aerosol, pollen_artemisia in aerosol, pollen_artemisia in aerosol, pollen_asteraceae in aerosol, pollen_asteraceae in aerosol, pollen_betula in aerosol, pollen_betula in aerosol, pollen_brassica in aerosol, pollen_brassica in aerosol, pollen_carpinus in aerosol, pollen_carpinus in aerosol, pollen_castanea in aerosol, pollen_castanea in aerosol, pollen_chenopodium in aerosol, pollen_chenopodium in aerosol, pollen_corylus in aerosol, pollen_corylus in aerosol, pollen_cruciferae in aerosol, pollen_cruciferae in aerosol, pollen_cyperaceae in aerosol, pollen_cyperaceae in aerosol, pollen_erica in aerosol, pollen_erica in aerosol, pollen_fagus in aerosol, pollen_fagus in aerosol, pollen_fraxinus in aerosol, pollen_fraxinus in aerosol, pollen_galium in aerosol, pollen_galium in aerosol, pollen_humulus in aerosol, pollen_humulus in aerosol, pollen_impatiens in aerosol, pollen_impatiens in aerosol, pollen_juglans in aerosol, pollen_juglans in aerosol, pollen_juniperus in aerosol, pollen_juniperus in aerosol, pollen_larix in aerosol, pollen_larix in aerosol, pollen_parietaria in aerosol, pollen_parietaria in aerosol, pollen_picea in aerosol, pollen_picea in aerosol, pollen_pinaceae in aerosol, pollen_pinaceae in aerosol, pollen_plantago in aerosol, pollen_plantago in aerosol, pollen_platanus in aerosol, pollen_platanus in aerosol, pollen_poaceae in aerosol, pollen_poaceae in aerosol, pollen_populus in aerosol, pollen_populus in aerosol, pollen_quercus in aerosol, pollen_quercus in aerosol, pollen_quercus_ilex in aerosol, pollen_quercus_ilex in aerosol, pollen_rumex in aerosol, pollen_rumex in aerosol, pollen_salix in aerosol, pollen_salix in aerosol, pollen_sambucus in aerosol, pollen_sambucus in aerosol, pollen_secale in aerosol, pollen_secale in aerosol, pollen_solidago in aerosol, pollen_solidago in aerosol, pollen_taraxacum in aerosol, pollen_taraxacum in aerosol, pollen_taxus in aerosol, pollen_taxus in aerosol, pollen_tilia in aerosol, pollen_tilia in aerosol, pollen_triticum in aerosol, pollen_triticum in aerosol, pollen_ulmus in aerosol, pollen_ulmus in aerosol, pollen_urticaceae in aerosol, pollen_urticaceae in aerosol, pollen_zea_mays in aerosol, pollen_zea_mays in aerosol, spores_fungi in aerosol, spores_fungi in aerosol, spores_fungi_alternaria in aerosol, spores_fungi_alternaria in aerosol