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.
Measurements of sea ice thickness, sea ice concentration, water temperature/salinity profile, and water current profile. Monitoring of vessel movement during ice navigation.
Data scanned directly from paper maps. There are two types of data available: (data1: geometrically corrected data) and (data2: raw image data). Map compilation from air photographs of Jan. 21, 1969 and Jan. 22, 1983, controlled by triangulation points established by Japan Antarctic Research Expeditions, 1975 and 1984.
Geological map data of Antarctica held by the National Institute of Polar Research and the Geospatial Information Authority of Japan. There are two types of data available: (data1: geometrically corrected data) and (data2: raw image data).
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.
The Arctic Challenge for Sustainability II, Arctic Challenge for Sustainability
Last metadata update: 2021-05-17T00:00:00Z
Show more...
Abstract:
To evaluate the effects of light-absorbing particles on the recent rapid melt of the snow and ice surfaces in the Arctic, we develop a new model system NHM-Chem-SMAP, which is a suite of the regional chemistry-meteorology model NHM-Chem and the physical snowpack model SMAP. In the first step of the model evaluation, we have applied NHM-Chem-SMAP at Sapporo, Japan. In this dataset, the numerical model simulation (1-dimensional) data by NHM-Chem-SMAP applied at Sapporo, Japan during the 2011-2012 winter are provided. This dataset includes results from the a sensitivity run in which only LAPs (Light Absorbing Particles) from domestic sources are considered.
Data scanned directly from paper maps. There are two types of data available: (data1: geometrically corrected data) and (data2: raw image data). Map compilation from air photographs of Jan. 6, 1981, controlled by triangulation points established by Japan Antarctic Research Expeditions, 1977, 1979 and 1984.
GREen Network of Excellence - Arctic Climate Change Research Project
Last metadata update: 2022-12-13T00:00:00Z
Show more...
Abstract:
We installed a sodium LIDAR in Tromso and started observations in October 2010. Since then, we operated the LIDAR for four winter seasons (October-March).
The Japanese Ny-Alesund Observatory, which is cal1ed "Rabben" was established in April 1991 there. It is located at about 1.5 km north west from the center of Ny-Alesund. The latitude, longitude and altitude of the observatory are 78o55'N, 11o56'E and about 40 m, respectively. We developed an automatic system for meteorological data acquisition, because no permanent stuff stayed at the observatory throughout the year to maintain instruments. Their sensors were installed nearby Rabben. Ground based measurements of meteorological elements have been made continuously since August 16, 1992 at the observatory. This data report shows the data from January 1999 to December 2000.
This study aims to develop a near real-time simulation system to assist in the preparation of the observational plan and the first analysis during the observational campaigns such as a cruise of the Research Vessel (R/V) Mirai. This system covers most of the Northern Hemisphere for the precise treatment of the intrusions of airmasses from the mid-latitudes to the Arctic. Day-to-day variations in the emissions are also taken into account, especially for emissions from biomass burning. The calculation is conducted using forecasted meteorological data for the target period, and the model data is finally overwritten by the output executed using the operational reanalysis data. The system has been applied to cruises of the R/V Mirai for MR1606 in 2016. Operationally, a 48-hour forecast calculation is conducted once a day and the result is shared with the researchers conducting the observations. Here, we present a dataset for the meteorological and atmospheric constituents, such as ozone and black carbon near the surface, during the MR1606 cruise of the R/V Mirai in 2016. This dataset can be used for the analysis of transport and transformation processes of chemical constituents that are observed during the cruise, and also the meteorological data can be used for the source analysis using trajectory models such as WRF-FLEXPART.
Chlorophyll a concentration is the most common indicator of phytoplankton biomass, basically regulated by macro-nutrients and light intensity. Therefore, long term monitoring of these parameters gives us fundamental information on ecosystem changes with climate changes. As part of the monitoring programs of the Japanese Antarctic Research Expedition (JARE), chlorophyll a concentration and macro-nutrients (nitrate, nitrite, phosphate and silicate) have been measured on board icebreakers Fuji and Shirase from JARE-14 in the 1972/73 season and from JARE-7 in the 1965/66 season, respectively. This report is the latest data determined during the Shirase cruise in 2016/17 season.
Green Network of Excellence Program - Arctic Climate Change Research Project
Last metadata update: 2015-05-14T00:00:00Z
Show more...
Abstract:
It is the result of chemical analysis of meltwater of the glacier. The samples were obtained at July 2012. It is composed by the result about Li, Na, NH4, K, Mg, Ca, F, Cl, NO2, Br, NO3, PO4 and SO4.