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.
NDVI, GCC, soil and surface temperature, and soil water content data from Adventdalen, Svalbard. This data was collected with a time-lapse RGB camera and NDVI sensor installed on a two meter high metal rack to monitor tundra vegetation. The time-lapse photos have gone through a manual quality check and were automatically adjusted with an algorithm to correct for lateral and rotational movements. A mask was used to calculate Green Chromatic Channel (GCC) from the photos. The NDVI data was quality controlled by removing outliers that were two standard deviations removed from the mean value of the growing season, and by removing dates where there was snow on the ground (as indicated by the time-lapse photos). In addition, soil and surface temperature and soil moisture were measured to facilitate the interpretation of shifts in the vegetation indices.
Snap trapping data of rodents on the Varanger and Nordkynn peninsula. This dataset has data from the COAT regional study design. Each entry corresponds to a trapped individual. Two related datasets have information on i) site-based abundances and ii) trap status, i.e. missing and closed traps.
The dataset includes four different types of files and all files are saved as ;-separated txt-files:
* One data file per year (_YEAR.txt)
* One coordinate file with coordinates of all sites (_coordinates.txt)
* One auxiliary file with information about which sites are included in the study design (_aux.txt)
* One readme file with additional information (_readme.pdf)
The dataset has a two-year embargo, older versions of the dataset are publicly available for download.
Image metadata of images taken by small mammal cameras on the Varanger peninsula. The dataset contains metadata for each image, such as date and time when the image was taken, the trigger mode (motion sensor or time lapse) and temperature inside the camera trap.
The dataset includes four different types of files and all files are saved as ;-separated txt-files:
* One data file per year and locality (locality_YEAR.txt)
* One coordinate file with coordinates of all sites (_coordinates.txt)
* One auxiliary file with information about which sites are included in the study design (_aux.txt)
* One readme file with additional information (_readme.pdf)
Classification of the images is available in the dataset 'V_rodents_cameratraps_image_classification_intensive_quadrats'. Information recorded during the annual camera check is available in the dataset 'V_rodents_cameratraps_annual_metadata_intensive_quadrats'.
The data is not publicly available yet.
Ground cover in meadow sites.
The dataset includes three different types of files and all files (except the readme) are saved as ;-separated txt-files:
* One data file per year (_YEAR.txt)
* One coordinate file with coordinates of all sites included in the dataset (_coordinates.txt)
* One auxiliary file with information about which sites are included in the dataset and when (_aux.txt)
* One readme file with additional information about the variables included in the study design (_readme.pdf)
The dataset has a two-year embargo, older versions of the dataset are publicly available for download.
Two datasets consisting of the annual census of the Svalbard reindeer population in Brøggerhalvøya, Sarsøyra and Kaffiøyra to estimate population abundance and demography. The fieldwork was conducted in July/August each year. The first dataset contains the years 2000-2011 and the other dataset contains the years 2012-2020 in separate files (annual census was not conducted in 2013 so this file is missing). .
Annual census of the Svalbard reindeer population in Adventdalen to estimate the population abundance (sex and age distribution) from 1979 to 2020. The study area for this reindeer census includes the main valley Adventdalen, including adjacent mountain plateaus and side valleys (see map in protocol).
Count data from flight-interception trapping of diptera at two locations in eastern Finnmark. Data organized in one file per year, plus a coordinate file.
Classification of images taken by small mammal cameras on the Varanger peninsula. The dataset contains data on presence or absence of small mammal species (Birds, Voles, Lemmings, Shrews, Least weasels and Stoats).
The images were classified automatically and in addition to the data files, there is a file describing the machine learning model and files with information about the quality of the automatic classifications for each year.
The dataset includes six different types of files and all data files are saved as ;-separated txt-files:
* One data file per year and locality (locality_YEAR.txt)
* One coordinate file with coordinates of all sites (_coordinates.txt)
* One auxiliary file with information about which sites are included in the study design (_aux.txt)
* One readme file with additional information (_readme.pdf)
* One file with a description of the machine learnomg model used for automatic classfication (_small_mammal_classification_model_v2021_summary.pdf)
* One file per year with information about the quality of the automatic classifications (_quality_check_YEAR.pdf)
Image metadata is available in the dataset 'V_rodents_cameratraps_image_metadata_lemming_blocks'.
Manual classification of all images from 2015 to 2018 is available in the dataset 'V_rodents_cameratraps_manual_image_classification_lemming_blocks'. Information recorded during the annual camera check is available in the dataset 'V_rodents_cameratraps_annual_metadata_lemming_blocks'.
The data is not publicly available yet.
Snap trapping data of rodents on the Varanger peninsula. This dataset has data from the COAT intensive study design. Each entry corresponds to a trapped individual. Two related datasets have information on i) site-based abundances and ii) trap status, i.e. missing and closed traps.
The dataset includes four different types of files and all files are
saved as ;-separated txt-files:
* One data file per year (_YEAR.txt)
* One coordinate file with coordinates of all sites (_coordinates.txt)
* One auxiliary file with information about which sites are included in the study design (_aux.txt)
* One readme file with additional information (_readme.pdf)
The dataset has a two-year embargo, older versions of the dataset are publicly available for download.
Shrub height of thicket forming *Salix sp.* and *Betula nana* in heath sites.
The dataset includes three different types of files and all files (except the readme) are saved as ;-separated txt-files:
* One data file per year (_YEAR.txt)
* One coordinate file with coordinates of all sites included in the dataset (_coordinates.txt)
* One auxiliary file with information about which sites are included in the dataset and when (_aux.txt)
* One readme file with additional information about the variables included in the study design (_readme.pdf)
The dataset has a two-year embargo, older versions of the dataset are publicly available for download.
Shrub height of thicket forming *Salix sp.* and *Betula nana* in meadow sites
The dataset includes three different types of files and all files (except the readme) are saved as ;-separated txt-files:
* One data file per year (_YEAR.txt)
* One coordinate file with coordinates of all sites included in the dataset (_coordinates.txt)
* One auxiliary file with information about which sites are included in the dataset and when (_aux.txt)
* One readme file with additional information about the variables included in the study design (_readme.pdf)
The dataset has a two-year embargo, older versions of the dataset are publicly available for download.
Grubbing is recorded in 30 meters transects and in the vegetation types moss tundra, disturbed moss tundra and dryas ridge. The transects are located in the permanent vegetation sites on the right side of the site when facing uphill. The recordings reflect this year's spring/summer grubbing. The categories recorded are presence of picking, bulldozing and cratering per centimeter. In the datsheets, the presence of each category in each transect is summed up.
Abundance of vascular plants measured using point intercept frequency.
The datasets contains point frequency data (which can be converted to biomass estimates) of the following functional groups and species:
Salix polaris
Bistorta vivipara
Dryas octopetala
Grasses
Oxyria digyna
Sedges and rushes
Small forbs
The dataset includes three different types of files and all files (except the readme) are saved as ;-separated txt-files:
One data file per year (_YEAR.txt)
One coordinate file with coordinates of all sites included in the dataset (_coordinates.txt)
One auxiliary file with information about which sites are included in the dataset and when (_aux.txt)
The dataset has a two-year embargo, older versions of the dataset are publicly available for download.