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.
The CO2 data onboard Statsraad Lehmkuhl are measured with a General Oceanics pCO2 system (GO 8050). This dataset consists of the raw data from the instrument. The system consists of an equilibrator, through which seawater is pumped with a flow of about 3L/min. A spiral nozzle forms a regular spray, so that the water and the gas phase achieve equilibrium fast. The gas phase is then pumped through a NDIR analyzer (Licor, LI 7000), which measures mole fraction of carbon dioxide. The system is equipped with one zero and 3 non-zero reference gases. Intake temperature is measured with a Fluke 1521. Equilibrator pressure is measured with an absolute pressure sensor (GE Druck 81). This installation was financed by the Geophysical Institute/University of Bergen and ICOS.
Molecular biology methods, such as environmental DNA (eDNA)analysis, are the new frontier in biodiversity assessments. Understanding the status of ocean biodiversity and impact of climate change on the composition, structure and function of marine ecosystems is crucial to sustainable management of the ocean and coastal areas. Within the eDNA activity on board of the One Ocean Expedition (OOE), a total of 240 water samples will be collected and 60 of them will be analyzed onsite using a portable PCR device. Weekly analysis of eDNA will provide hundreds of data points around the globe to assess the presence and abundance of 11 key marine indicators from marine unicellular prokaryotes to fish that may be impacted in one way or another by ocean and climate change. The geographical mapping of these species across all oceanic regions of the globe will provide new knowledge, status, and insights into how species may redistribute in a changing ocean resulting from global warning and other anthropogenic stressors. The rest of the collected samples will be analyzed with higher resolution using high-throughput sequencing (HTS) techniques to infer marine species inventory and biodiversity distribution at a scale seldom possible in scientific cruises, providing a snapshot of marine biodiversity globally.
The results provided in the datasets are automatically tagged with a quality flag according to SeaDataNet standards: https://www.seadatanet.org/content/download/596/file/SeaDataNet_QC_procedures_V2_%28May_2010%29.pdf