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.
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.
Ringed seal (Pusa hispida) abundance in Spitsbergen, Svalbard, was estimated during the peak moulting period via aerial, digital photographic surveys. Two digital cameras were automatically triggered at pre-defined GPS positions on transects. A total of 9,145 images, covering 41.7%–100% of the total fast-ice cover (1,496 km2) of 18 different fjords and bays, were inspected manually for the presence of ringed seals. A total of 1,708 seals were counted, and when accounting for ice areas that were not covered by images, a total of 3,254 (95% CI: 3,071–3,449) ringed seals were estimated to be hauled out during the surveys. Extensive behavioral data from radio-tagged ringed seals (collected in a companion study) from one of the highest density fjords during the molting period were used to create a model that predicts the proportion of seals hauled out on any given date, time of day, and under various meteorological conditions. Applying this model to the count data from each fjord, we estimated that a total of 7,585 (95% CI: 6,332–9,085) ringed seals were present in the surveyed area during the peak moulting period. Data on interannual variability in ringed seal abundance suggested higher numbers of seals in Van Keulenfjorden in 2002 compared to 2003, while other fjords with very stable ice cover showed no statistical differences. Poor ice conditions in general in 2002 probably resulted in seals from a wide area coming to Van Keulenfjorden (a large fjord with stable ice in 2002). The total estimated number of ringed seals present in the study area at the time of the survey must be regarded as a population index, or at least a minimum estimate for the area, because it does not account for individuals leaving and arriving, which might account for a considerable number of animals. The same situation is likely the case for many other studies reporting aerial census data for ringed seals. To achieve accurate estimates of population sizes from aerial surveys, more extensive knowledge of ringed seal behaviour will be required.
Institutions: British Antarctic Survey, British Antarctic Survey
Last metadata update: 2022-03-22T00:00:00Z
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Abstract:
The number of Fur and Elephant seals around the base on Signy Island have been counted daily between January and March since 1992. Details of the area counted are given in the 1992 Seal Mammal report (AD6/2H/1992/NM3).
Institutions: British Antarctic Survey, British Antarctic Survey, UK Polar Data Centre, Natural Environment Research Council, UK Research & Innovation
Last metadata update: 2020-11-23T00:00:00Z
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Abstract:
The colony size and breeding success of Gentoo penguins (Pygoscelis papua) on Goudier Island, monitored annually 1996 - 2020. The data presented here includes the number of breeding pairs, the number of chicks that hatched from their eggs (approximately the mid-point in the annual breeding season) and the number of chicks present in creches at defined sub-colonies prior to fledging.
Institutions: British Antarctic Survey, British Antarctic Survey, British Antarctic Survey
Last metadata update: 2016-06-24T00:00:00Z
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Abstract:
Genetic variation on a spatial scale was assessed, using both DNA fingerprinting and sequencing-based approaches, in the Antarctic endemics Buellia frigida, Carbonia vorticosa and Amandinea petermananii, and in the bipolar species Caloplaca saxicola, Umbilicaria decussata and Cladonia galindezii. PCR-based (Polymerase Chain Reaction) molecular biology techniques, were used as they are ideal for working with lichens because little starting material is required. See Fabian et al. 2007 for further information on analyses and results.
Institutions: British Antarctic Survey, British Antarctic Survey, NERC EDS UK Polar Data Centre
Last metadata update: 2022-03-22T00:00:00Z
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Abstract:
The weights of fledging Macaroni penguin chicks at Bird Island have been monitored since 1989. The colony at Fairy Point, also known as Little Mac, contains approximately 400 breeding pairs. Each year, just before their departure from the colony, a sample of 100 fledgling birds are weighed as part of the Bird Island long-term monitoring programme. This data is submitted to the Commission for the Conservation of Antarctic Marine Living Resources (CCAMLR) as part of their Ecosystem Monitoring Programme (CEMP).
This work was funded by Natural Environment Research Council (UK) core funding to the British Antarctic Survey.
Institutions: British Antarctic Survey, British Antarctic Survey, UK Polar Data Centre, Natural Environment Research Council, UK Research & Innovation
Last metadata update: 2020-02-10T00:00:00Z
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Abstract:
Whole island counts of the number of active nests of South Georgia shag Leucocarbo [atriceps] georgianus on Bird Island. Counts were first made in 1989-1990. A repeat count was made in 1994-95 and from 2012-13 onwards active nests have been counted either biennially or annually.
Institutions: British Antarctic Survey, British Antarctic Survey, British Antarctic Survey
Last metadata update: 2016-05-26T00:00:00Z
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Abstract:
During field work in 2001 over 1600 specimens were collected from four main fossil plant assemblages: the ''Nordenksjold flora'' from the Cross Valley Formation of Late Palaeocene age; and 3 floras from La Meseta Formation i) Flora2 from the Valle De Las Focas allomember, ~late Early Eocene, ii) Wiman Flora, Acantilados allomember, late Early/mid Eocene, iii) Cucullaea 1, Cuculleae 1 allomember Flora, early Late Eocene. In addition smaller collections of fossils from other parts of the La Meseta Formation were collected. The work concentrated on the Late Palaeocene and the Cuculleae 1 floras as these were the best preserved and had sufficient morphotypes for climate analysis. In the Late Palaeocene flora 36 angiosperm leaf morphotypes were identified, along with 2 pteridophytes (ferns), and podocarp and araucarian conifers. Discovery of several new leaf types indicates that the Tertiary floras from Antarctica were more diverse than previously thought.
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.
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). .