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.
Snap trapping data of rodents on the Varanger and Nordkynn peninsula. This dataset has data from the COAT regional study design and has data on site-based abundances. Two related datasets have information on i) trapped individuals 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.
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_v2022_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_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.
Annual metadata of small mammal cameras on the Varanger peninsula, in heath and meadow habitats. The dataset contains information recorded during the annual camera check, such as the serial number of the camera, the condition of the camera and other relevant comments.
The dataset includes four different types of files and all data files are saved as ;-separated txt-files:
* One data file per year with metadata from the annual camera check (_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)
Image metadata is available in the dataset 'V_rodents_cameratraps_image_metadata_heath_meadow'. Classification of all images is available in the datasets 'V_rodents_cameratraps_image_classification_heath_meadow'.
Reindeer carcasses observed during the annual census of the Svalbard reindeer population in Adventdalen with side valleys. Each line in the dataset represents one carcass.
The dataset includes two types of files:
* One data file per year (_YEAR.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.
Plant species composition 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.
Ground cover 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.
Ptarmigan count in Svalbard. Each line in the data files represents one observed male ptarmigan.
The dataset includes three 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 readme file with additional information (_readme.pdf)
The dataset has a two-year embargo, older versions of the dataset are publicly available for download.
The Seasonal Ice Zone Observing Network (SIZONet) and the Alaska Arctic Observatory and Knowledge Hub (AAOKH) share the Local Observations Interface, which allows access to observations of sea ice, weather, wildlife and community activities collected since 2006 by Iñupiaq and Yup'ik sea ice experts and community members in several communities along the northern and western coasts of Alaska. The SIZONet web interface, which transitioned to AAOKH in 2015, provides access to a database of local observations spatially referenced around Alaska coastal communities. The database brings together two distinct knowledge systems of western science and Indigenous Knowledge. As an archive and instruction tool, the interface offers collaborating opportunities for researchers and local observers. Since it is designed to change in response to the evolving nature of the observations, the database provides a framework for researchers to track and compare specific climatic, environmental and ecological features, and events across geographic locations and over time. The goal of this project is to document and share Indigenous Knowledge alongside western scientific data in the context of changing sea ice and environmental conditions. In documenting local environmental changes, including sea ice conditions, records may offer insight into how those changes affect community and cultural activities. Arctic coastal communities have long recognized that sea ice conditions are not what they once were: the ocean is freezing later in the fall and ice is melting earlier in the spring, shore-fast ice is less stable, there is far less thick multiyear ice, and environmental conditions overall are less predictable. To view the observations in the database, visitors must agree to the Use Agreement and enter as a Guest. Members of the participating Alaska communities can log in as a Registered User for a more robust use of the interface. More information about AAOKH, project administration, and context for the observations can be found at https://arctic-aok.org/.
This data set highlights the research conducted by the Narwhal Tusk Research Project in Baffin Bay, between Canada and Greenland. Content includes laboratory and field studies directly investigating the physical and dental properties of the narwhal tusk, narwhal behavior, and an examination of the field expeditions and collected interviews from Inuit community members.
Institutions: UiT The Arctic University of Norway, UiT The Arctic University of Norway
Last metadata update: 2024-01-19T11:29:43Z
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Abstract:
An X-ray scan of Priapulopsis bicaudatus. Sample collected by Bodil Bluhm in field (2019-08-16), preserved in 70% EtOH, then stored as a voucher specimen at The Arctic University Museum of Norway with collection number TSZY 427. Before scanning the specimen was encapsuled in wax, then imaged in a Zeiss Xradia Versa 620.
Polyploidy is a very important evolutionary mechanism. However, the advantages and disadvantages of polyploidy are far from being resolved. Saxifraga oppositifolia L. is a circumpolar arctic-alpine species, and one of these species where the effect of autopolyploidy has been overlooked. Three ploidy levels of autopolyploid origin are recorded (diploid, triploid and tetraploid). Saxifraga oppositifolia show considerable variation in both ecology and morphology; it thrives in a wide range of habitats, from early snow free, extremely dry ridges with long growing season, to moist snow beds with short growing season.
We establishment four transects through habitat gradients summer 2018, and added one extra transect summer 2019 in order to study the distribution of ploidy levels of Saxifraga oppositifolia different habitats. Plots were established in three main habitat types (Habitat 1: glacial or fluvial deposits in the valley bottom, Habitat 2: north-east facing slopes in mesic to dry heath vegetation. Habitat 3: dry, open ridges) following and altitudinal gradient from the valley bottom of the main Advent Valley and up the mountain following slopes facing North East in the entrance of Bjørndalen, Endalen, Todalen, Bolterdalen and Foxdalen. In total 15 habitat plots (20 m x 40 m) were established, and we randomly marked out and georeferenced 48 plants within each plot. Within each plot, we placed out data loggers, which measure temperature and for some plots also moisture. A range of different measurmnets, including vegetation analyses, genetic analyses, ploidy analyses and edaphic analyses have been performed, and additional data is still being collected (2021).
We aim to understand the origins of triploids and tetraploids, and identify genetic differences, and physiological and morphological traits related to ploidy levels, and relate these to niche differentiation and ecology.
Institutions: UiT The Arctic University of Norway, UiT The Arctic University of Norway, UiT The Arctic University of Norway, Norwegain Infrastructure for Research Data (NIRD)
This dataset includes taxonomy and daily vertical export rates of planktonic protist cells, planktonic protist carbon (PPC), and zooplankton abundance and biomass fluxes. Samples were collected from long-term sediment traps deployed on moorings north and northeast of Svalbard from October 2017 to October 2018, as part of the Nansen Legacy (UiT, NO) and Arctic PRIZE (SAMS, UK).
This dataset includes observations of benthic organisms from Isfjorden, Billefjorden, Kongsfjorden, Magdalenafjorden and the marginal ice zone (MIZ). The organisms were collected using benthic trawls. The trawls were done in April 2023, during a field trip on F/F Helmer Hanssen for students in the AB202 course at UNIS. The benthos were described to the lowest possible taxonomic level by the students.
Phytoplankton data collected on a scientific cruise in the biology course AB-202 by The University Centre in Svalbard. The data is collected from different fjords on the west coast of Spitsbergen and by the marginal ice zone in the period 26.04.2023-01.05.2023.
The data was collected from different fjords around Spitsbergen with the use of macrozooplankton nets (1000 μm). The sampling locations are Isfjorden (IsK), Kongsfjorden (KB3) and Magdalenefjorden (MF), and the sampling was done at almost maximum depth.