The core partner data centres that are integrated in NorDataNet are listed in https://www.nordatanet.no/en/node/69. In addition to this NorDataNet harvests information on relevant datasets from a number of other data centres. The data centre responsible for the data presented is usually (but not always) listed in the discovery metadata. In essence NorDataNet is an aggregating service that combines information from a number of existing data centres.
Citation of data and service
If you use data retrieved through this portal, please acknowledge our funding source:
Research Council of Norway, project number 245967/F50, Norwegian Scientific Data Network.
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)
All partner repositories of NorDataNet support Digital Object Identifiers (DOI), but not all datasets are minted. Whether or not minted depends often on source of the data (e.g. operational data are often yet not minted). However, all data centres support persistent identifiers according to local systems. The information required to properly cite a dataset is normally provided in the discovery metadata the datasets.
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 identified in the drop down menu with and phrases embedded in quotation marks. Prefixing a phrase with '-' negates the phrase (i.e. should not occur in the results). 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. The combination of search fields (including facets) is based on a logical "AND" combination of the fields, i.e. all conditions are fulfilled for the results provided.
Institutions: NO01L, Norwegian Institute for Air Research, NILU, Atmosphere and Climate Department, Instituttveien 18, 2007, Kjeller, Norway, NO01L, Norwegian Institute for Air Research, NILU, Atmosphere and Climate Department, Instituttveien 18, 2007, Kjeller, Norway
Last metadata update: 2021-02-11T00:00:00Z
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Abstract:
Ground based in situ observations of sulphate_corrected at Ny-Ålesund - Gruvebadet (NO0618R) using filter_2pack. These measurements are gathered as a part of the following projects AMAP, NILU and they are stored in the EBAS database (http://ebas.nilu.no/). Parameters measured are: sulphate_corrected in aerosol (mass_concentration_of_sulphate_corrected_for_seaspray_expressed_as_sulphur_in_dry_aerosol_particles_in_air)
License : AMAP: For scientific purposes, access to the AMAP data is unlimited but by their use you accept that an offer of co-authorship will be made through personal contact with the data producer or owner., NILU: Public open access. We encourage contacting data originators if substatial use of individual time series is planned (fair use data policy).
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: 2024-03-27T00:00:00Z
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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: 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: 2022-12-16T00:00:00Z
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Abstract:
Ground based in situ observations of sulphur_dioxide at Zeppelin mountain (Ny-Ålesund) (NO0042G) using filter_3pack. These measurements are gathered as a part of the following projects AMAP, CAMP, EMEP, GAW-WDCRG, NILU and they are stored in the EBAS database (http://ebas.nilu.no/). Parameters measured are: sulphur_dioxide in air (mass_concentration_of_sulphur_dioxide_expressed_as_sulphur_in_air)
Institutions: DK01L, National Environmental Research Institute, NERI, P.O.Box 358, Fredriksborgvei 399, DK-4000 Roskilde, Denmark, DK01L, National Environmental Research Institute, NERI, P.O.Box 358, Fredriksborgvei 399, DK-4000 Roskilde, Denmark
Last metadata update: 2021-02-11T00:00:00Z
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Abstract:
Ground based in situ observations of filter_3pack at Villum Research Station, Station Nord (DK0010G). 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: aluminium in aerosol (mass_concentration_of_aluminium_in_dry_aerosol_particles_in _air), arsenic in aerosol (mass_concentration_of_arsenic_in_dry_aerosol_particles_in _air), chromium in aerosol (mass_concentration_of_chromium_in_dry_aerosol_particles_in _air), copper in aerosol (mass_concentration_of_copper_in_dry_aerosol_particles_in _air), lead in aerosol (mass_concentration_of_lead_in_dry_aerosol_particles_in _air), manganese in aerosol (mass_concentration_of_manganese_in_dry_aerosol_particles_in _air), nickel in aerosol (mass_concentration_of_nickel_in_dry_aerosol_particles_in _air), selenium in aerosol (mass_concentration_of_selenium_in_dry_aerosol_particles_in _air), zinc in aerosol (mass_concentration_of_zinc_in_dry_aerosol_particles_in _air)
License : AMAP: For scientific purposes, access to the AMAP data is unlimited but by their use you accept that an offer of co-authorship will be made through personal contact with the data producer or owner., EMEP: Public open access. We encourage contacting data originators if substatial use of individual time series is planned (fair use data policy).
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: 2023-12-26T00:00:00Z
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Abstract:
Ground based in situ observations of ozone at Zeppelin mountain (Ny-Ålesund) (NO0042G) using uv_abs. These measurements are gathered as a part of the following projects EMEP_NRT, GAW-WDCRG_NRT, NILU_NRT and they are stored in the EBAS database (http://ebas.nilu.no/). Parameters measured are: ozone in air (mole_fraction_of_ozone_in_air), ozone in air (mass_concentration_of_ozone_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: 2023-12-14T00:00:00Z
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Abstract:
Ground based in situ observations of ozone at Zeppelin mountain (Ny-Ålesund) (NO0042G) using uv_abs. These measurements are gathered as a part of the following projects EMEP_NRT, GAW-WDCRG_NRT, NILU_NRT and they are stored in the EBAS database (http://ebas.nilu.no/). Parameters measured are: ozone in air (mole_fraction_of_ozone_in_air), ozone in air (mass_concentration_of_ozone_in_air)
Institutions: GR05L, National Centre of Scientific Research, Demokritos, Athens, Greece, GR05L, National Centre of Scientific Research, Demokritos, Athens, Greece
Last metadata update: 2021-02-11T00:00:00Z
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Abstract:
Ground based in situ observations of aerosol_absorption_coefficient at Zeppelin mountain (Ny-Ålesund) (NO0042G) using filter_absorption_photometer. These measurements are gathered as a part of the following projects CREATE, EUSAAR, GAW-WDCA and they are stored in the EBAS database (http://ebas.nilu.no/). Parameters measured are: aerosol_absorption_coefficient in aerosol (volume_absorption_coefficient_in_air_due_to_dried_aerosol_particles)
The Nansen Legacy cruise Q1 was part of the seasonal investigation of the northern Barents Sea and adjacent Arctic Basin. The cruise was conducted in 2-24 March 2021 onboard R/V Kronprins Haakon, and focused on studying the physical, chemical and biological conditions along the Nansen Legacy main transect in open waters and within the sea ice. While in sea ice we conducted ten regional scale sea ice helicopter-borne surveys of ice conditions along the Nansen Legacy transect using a helicopter-borne electromagnetic instrument (HEM) EM-bird. This dataset presents processed EM-bird data on total snow and sea-ice thickness along the flight tracks.
This is a contribution to the Research Council of Norway project “Nansen Legacy” (https://arvenetternansen.com/), WP RF-1 “Physical drivers”.
Quality
See the attached docuement “AeN_Q1_202103_HEM_icethickness_metadata_v1.0.pdf” for details on the data acqusition, processing and structure.
The dataset includes water column measurements of spectral beam attenuation and absorption coefficients by non-water constituents. Measurements were collected in May 2021 during cruise 2021704, Q2, in the northern Barents Sea as part of the Nansen Legacy project. The WET Labs ac-s spectrophotometer (Seabird Scientific) were used to collect in situ profiles, with a constant descent velocity (∼0.3 m/s) down to a depth of 350 m, or ~10 m below the ocean floor. Measurements were corrected for temperature and salinity effects. The proportional method was used to correct the scattering error of the absorption measurements, assuming zero absorption at 709 nm. The measurements were binned with 2.0 m (dbar) spacing, applying the median to average the data. See the referenced article for more information.
The data has been collected during the Q2: Nansen Legacy Seasonal Study Q2 from 27 April - 20 May 2021 on research vessel Kronprins Haakon (cruise number 2021704), along a transect in the northern Barents Sea from 76N to 82N. The dataset contains abundance of ice algae marine protists, including ice algae (autotrophic) and protozoa (heterotrophic). Protists were identified and counted with light microscopy using the Utermöhl method and the result are given as cells per liter (cells/L) called organismQuantity.
Quality
Sampling method:
The samples were collected with a slurp gun underneath the ice. The samples were collected by swimming a given distance (the distance is given in the fieldNotes) and sucking up the ice algae attached to the sea ice in this given transect. The mix of ice sluch and ice algae was melted at 4°C. When melted, 95 mL of the sample was transferred into 100 ml brown glass bottle. The samples were preserved using an aldehyde mixture of glutaraldehyde and hexamethylenetetramine-buffered formalin at final concentrations of 0.1% and 1% respectively.
Analysis method:
All samples have been analysed at Institute of Oceanology of the Polish Academy of Sciences (IOPAN). The organisms were identified and counted under an inverted microscope according to the Utermöhl method.
Header name index - events
- expedition: cruise number for R/V Kronprins Haakon
- eventID: UUID for the sample
- parentID: UUID for the gear deployment (each ice core has a unique parentID)
- eventDate: the date-time when an event occurred, using ISO 8601-1:2019 format (2020-07-27T07:16:03.446Z).
- fieldNumber: human-readable sample ID (e.g. IAT-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)
- maximumDepthInCentimeters: bottom depth of the core section in cm
- minimumDepthInCentimeters: upper depth of the core section in cm
- eventRemarks: comments or remarks about the event (free text field)
- gearType: the gear used to take the sample e.g. Ice corer 9 cm
- samplingDepthInMeters: depth sampled
- sampleType: description of the sample type according to a standard list
- 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
- 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 Nitzschia frigida).
- identificationQualifier: A standard term (sp., spp., and indet.) to express the determiner’s doubts about the Identification.
- lifeStage: the life stage (e.g. resting spore) 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 µm.
- organismRemark: indicates e.g. varieties, colony type
- identificationRemarks: a free text field for adding information relevant to the analysis
- identifiedBy: person who did the lab-analyse
- identifiedBy: Drop-down menu linked to list in people-sheet
- dateIdentified: Date for the analysis
- fieldsInCount: Number of fields counted in the microscope
- magnificationMicroscope: The magnification setting used during analysis. Selected from a drop-down menu linked to vocab-sheet
- maxFields: Number of fields in the entire sedimentation chamber (Related to magnification used)
- takenVolumeML: The volume taken for sedimentation in the Utermöhl chamber (the sub-sample taken for analysis)
- totalMeltedVolumeL: The total melted volume in L recorded during sampling.
- addedFSWvolumeL: Volume in L of filtered sea water added to the sample during melting.
- initialVolumeL: The total volume in L of the melted core, measured during sampling. If it wasn’t measured one can use the theoretical calculated core volume based on diameter of the core. initialVolumeL=(totalMeltedVolumeL-addedFSWvolumeL)) or teoreticalCoreVolumeL = coreAreM*(maxDepthCM-minDepthCM)
- sampleSizeValue=((fieldsInCount/maxFields)(takenVolumeML/conversionMLtoL))(dilutionFactorFormaldehyde*dilutionFactorFSW)), dilutionFactorFormaldehyde = 0.95, dilutionFactorFSW=
- sampleSizeUnit: liter (l)
- organismQuantity: the quantity of the organism per volume water in the environment (organismQuantity = individualCount/sampleSizeValue)
- organismQuantityType: cells/l
- cellsPerM2: The quantity (number of cells) of the organism per area (m2). cellsPerM2 = ((individualCount/(sampleSizeValue/initialVolumeL))/coreAreaM
Funding:
The Nansen Legacy is funded by the Research Council of Norway and the Norwegian Ministry of Education and Research. They provide 50% of the budget while the participating institutions contribute 50% in-kind.
Time-series data from moorings covering the Svalbard Branch of the Atlantic Water inflow over the upper continental slope north of Svalbard, Sep 2017 to Nov 2019. The data comprise temperature, salinity and other parameters from CTDs, and water currents from ADCPs.
Data are published as individual time-series files from the different instruments. Both raw (RDI .000 format) and processed (netCDF) ADCP data are published.
Quality
Data processed with standard software from the instrument manufacturers plus additional quality controls to remove bad data points. Details of ADCP processing and quality control are described in the documentation PDF.
Sea ice-associated and pelagic highly branched isoprenoids (HBIs) and sterols in pelagic zooplankton collected during Nansen Legacy cruise Q3
Quality
Extraction of total lipids with chloroform/methanol, saponification with potassium hydroxide in water/methanol, purification via open column chromatography Analysis via gas chromatography-mass spectrometry
Ocean data from two ocean moorings, M1 and M2. Both were Nansen Legacy gateway moorings deployed in the northern Barents Sea at potential “gateways” of ocean exchange with the north and east. The moorings were equipped with ADCPs measuring ocean currents, and temperature and conductivity-temperature-pressure sensors at various points along the mooring line:
- Conductivity, temperature, and pressure from RBR Concerto and SBE16plus v2 instruments.
- Temperature from RBR Solo instruments.
- Near-surface ocean currents from upward-looking Nortek Signature 500 kHz ADCP instruments.
- Water column currents from upward-looking RDI 150 kHz ADCP instruments.
The current version of the dataset (V1) contains data from the two first deployments of M1 and M2, covering the period from October 2018 to September 2020.
The document “M1_M2_data_processing_details_2018_2020.pdf” contains further details about the data and processing, as well as important information for users of the data.
The Norwegian Polar Institute is the owner of all the instrumentation described in this document, and was responsible for data processing and documentation. Data are freely available under a CC-BY 4.0 license.
VERSION HISTORY:
V1 (27-07-2022): Created dataset, uploaded raw and processed data for M1 and M2 (2018-2020) with documentation.
Processed data are organized per mooring and deployment. E.g., “m1_2.zip” contain processed data from deployment 2 (2019-2020) of the M1 mooring, etc. All raw data are collected in “raw_m1m2_2018_2020.zip”.
Quality
Data are available both in raw form and as netCDF files with processed data. The document “M1_M2_data_processing_details_2018_2020.pdf” contains further details about the data and processing, as well as important information for users.
Time-series data from moorings covering the Svalbard Branch of the Atlantic Water inflow over the upper continental slope north of Svalbard, Sep 2013 to Sep 2015. The data comprise temperature, salinity and other parameters from CTDs, and water currents from ADCPs.
Data are published as individual time-series files from the different instruments. Both raw (RDI .000 format) and processed (netCDF) ADCP data are published.
Quality
Data processed with standard software from the instrument manufacturers plus additional quality controls to remove bad data points. Details of ADCP processing and quality control are described in the documentation PDF.
Inherent optical data collected in Storfjorden (Svalbard) in June 2020 onboard the coast guard vessel KV Svalbard during the Useful Arctic Knowledge project summer school. This data was collected as part of the Nansen Legacy project. Optical data collected includes in situ measurements of absorption and attenuation, accompanied by in situ profiles of salinity, temperature, pressure (CTD) and dissolved organic matter fluorescence (3-channel fluorometer).
Water samples were collected for measurements of dissolved (colored dissolved organic matter, CDOM) absorption, and material was collected on filters for determination of particulate absorption by phytoplankton and non-algal particles, and the stable oxygen isotopic composition of seawater.
The data is available in netcdf files or individual CSV files.
Absorption_Cruise_UAK2020.nc: contains the measurements of CDOM and particulate absorption from water samples. In_Situ_Absorption_Attenution_Cruise_UAK2020: contains the in situ measurements of spectral absorption and attenuation
The CSV files in this collection include the spectral measurements of optical properties as follows:
icam_aphy.csv: Phytoplankton absorption coefficient (in 1/m) as measured with the QFT-ICAM technique
icam_anap.csv: Non-algal particle absorption coefficient (in 1/m) as measured with the QFT-ICAM technique
Perkin_ap.csv: Total particle absorption coefficient (1/m) as measured with the QFT_Perkin technique
O18.csv: Oxygen isotope ratio (δ18O, in ‰ against VSMOW)
acs_fdom_ctd: High vertical resolution in situ cast data: total non-water absorption (1/m) and attenuation (1/m), Fluorescence by Dissolved Organic Matter (FDOM, raw digital signal counts), water salinity (practical salinity scale) and temperature (degrees Celsius).
FDOM was measured at three excitation/emission pairs as follows: Channel 1 (Ch1, 310/450 nm) that represents marine ultraviolet humic-like and marine humic-like material; for Channel 2 (Ch2, 280/450 nm) represents terrestrial humic-like material; and for Channel 3 (Ch3, 280/350 nm) represents protein-like tryptophane type material.
The details of the data processing are described in the published paper (see link below).