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 and phrases embedded in quotation marks. Logical operators include AND, OR and NOT. Remember to add space around operators. Text strings that are not quoted are trated as separate words and will match any of the words (i.e. assuming the OR operator). E.g. in order to find WMO synoptic weather station data from Verlegenhuken use the search phrase: [synop AND verlegenhuken]. 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.
Collections
Collections allows the user to search in subsets of the existing catalogue. The collections are primarily data management projects that have been incorporated in the ADC catalogue after the project has ended. In this context the ADC is the long term access solution for these data. The collections currently served through ADC include (datasets may belong to multiple data collections):
ADC is the full collection of this service CC is the CryoClim collection
In order to search a specific data collection select that collection. If no data collection is selected all collections are searched.
AeN are data related to the Nansen Legacy project and are better explored through the SIOS Data Access Point using the collection defined there which is available through this URL.
SIOS, InfraNOR, SIOSCD, SIOSAP, SESS_* are collections related to SIOS. These are better explored through the SIOS Data Access Portal
Some cleaning is pending between InfraNOR and SIOSIN, for some of the SESS collections.
Citation of data and service
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)
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 Norwegian Meteorological Institute/Arctic Data Centre.
Institutions: NILU, Norwegian Meteorological Institute / Arctic Data Centre
Last metadata update: 2022-08-16T12:14:40Z
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Abstract:
Remote-sensing observations performed using the Differential Optical Absorption Spectroscopy (DOAS) technique to quantify the abundance of NO2. The dataset ranges from 2020-03-13T09:22:02 to 2021-10-02T13:57:40, and contains the variables altitude_instrument, angle_solar_azimuth, angle_solar_zenith_astronomical, latitude, longitude, no2_column_absorption_solar, no2_column_absorption_solar_amf, no2_column_absorption_solar_flag, no2_column_absorption_solar_uncertainty_combined_standard, no2_column_absorption_solar_uncertainty_mixed_standard, no2_column_absorption_solar_uncertainty_random_standard, no2_column_absorption_solar_uncertainty_systematic_standard, temperature_effective_no2, temperature_effective_no2_uncertainty_combined_standard, temperature_effective_no2_uncertainty_mixed_standard, temperature_effective_no2_uncertainty_random_standard and temperature_effective_no2_uncertainty_systematic_standard. The datset is provided by Ann Mari Fjaeraa,NILU.
Institutions: UNIS, Norwegian Meteorological Institute, Norwegian Meteorological Institute / Arctic Data Centre
Last metadata update: 2023-02-28T13:00:00Z
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Abstract:
Wave observations from a buoy located in Isfjorden at Svalbard. This dataset contains several sub datasets representing different variables and time periods.
Data products generated by the Ocean Colour component of the European Space Agency Climate Change Initiative project. These files are daily composites of merged sensor (MERIS, MODIS Aqua, SeaWiFS LAC & GAC, VIIRS, OLCI) products. MODIS Aqua and SeaWiFS were band-shifted and bias-corrected to MERIS bands and values using a temporally and spatially varying scheme based on the overlap years of 2003-2007. VIIRS was band-shifted and bias-corrected in a second stage against the MODIS Rrs that had already been corrected to MERIS levels, for the overlap period 2012-2013; and at the third stage OLCI was bias corrected against already corrected MODIS, for overlap period 2016-07-01 to 2019-06-30. VIIRS, MODIS, SeaWiFS and MERIS Rrs were derived from a combination of NASA/s l2gen (for basic sensor geometry corrections, etc) and HYGEOS Polymer v4.12 (for atmospheric correction). OLCI Rrs were sourced at L1b (already geometrically corrected) and processed with polymer. The Rrs were binned to a sinusoidal 1km level-3 grid, and later to 1km geographic projection, by Brockmann Consult/s SNAP. Derived products were generally computed with the standard algorithmsthrough SeaDAS. QAA IOPs were derived using the standard SeaDAS algorithm but with a modified backscattering table to match that used in the bandshifting. The final chlorophyll is a combination of OCI, OCI2, OC2 and OCx, depending on the water class memberships. Uncertainty estimates were added using the fuzzy water classifier and uncertainty estimation algorithm of Tim Moore as documented in Jackson et al (2017). and updated accorsing to Jackson et al. (in prep).
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.
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.
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.
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.
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.
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.
Ocean current measurements using the hull-mounted Acoustic Doppler Current Profiler (ADCP) system Output items are as follows: Depth (m) | Eastward Velocity (m/s) | Northword Velocity (m/s) | Vertical Velocity (m/s) | Velocity Magnitude (m/s) | Velocity Direction (deg) | Error of Velocity (m/s) | Correlation | Echo Intensity | Percent Good | Ship Velocity (m/s) | Sandard deviation of Ship Velocity | Sandard deviation of Ship Heading | Standard deviation of Ship Rolling | Sandard deviation of Ship Pitch
This is the dataset of dissolved inorganic carbon in surface seawater, which was observed in the western Arctic Ocean by R/V Mirai of JAMSTEC in the summer of 2020. It includes date, time, location (latitude and longitude), sea surface temperature (degreeC), sea surface salinity, and dissolved inorganic carbon (mmol kg-1).
This repository includes the datasets of meteorological profiles obtained by a drone over the Sea of Okhotsk during the cruise of Patrol Vessel Soya in February 2022. The data was used in a paper entitled "Wind speed measurement by an inexpensive and lightweight thermal anemometer on a small UAV" by J. Inoue and K. Sato.
Arctic Challenge for Sustainability, The Arctic Challenge for Sustainability II
Last metadata update: 2022-01-19T00:00:00Z
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Abstract:
This data set includes the meteorological observations at a Poker Flat Research Range of University of Alaska, Fairbanks, a sparse evergreen needleleaf forest site in interior Alaska, also known as the AmeriFlux US-Prr site. The details of the data are summarized in the document PFRR_met_data_ver6.pdf.
Turbulence Ocean Microstructure Acquisition Profiler (TurboMAP-L, manufactured by JFE Alec Co Ltd.) was used to measure turbulence-scale temperature and shear. TurboMap is a quasi-free-falling instrument that obtains turbulent mixing parameters (deita u/delta z and deltaT/delta z), bio-optical parameters (in vivo fluorescence and back scatter) and hydrographic parameters (conductivity, temperature, and pressure). The processed data are averaged into 1-m vertical bins.