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.
Underlying dataset for the Lavergne et al. (2020) manuscript in EGU The Cryosphere Discussion. Processed from GCOM-W1 AMSR2 36.5 GHz (Ka-band) imagery. See the manuscript for more details.
Underlying dataset for the Lavergne et al. (2020) manuscript in EGU The Cryosphere Discussion. Processed from GCOM-W1 AMSR2 36.5 GHz (Ka-band) imagery. See the manuscript for more details.
Zooplankton samples were collected by vertical haul of Quad-NORPAC nets at 58 stations in the Pacific sector of the Arctic Ocean. The Quad-NORPAC net (mesh sizes: 335, 150 and two of 63 micrometre [one is for a fixed sample and the other has a large-sized cod-end to collected fresh samples for incubation], mouth diameter: 45 cm) was towed between the surface and the depth of 150 m (or the bottom - 10 m at stations where the bottom was <150 m) at all stations.
The Lofoten-Vesterålen Ocean Observatory (LoVe Ocean) is located in a highly productive costal shelf-slope area, and in an environment sensitive to external stressors. LoVe Ocean is a cabled multi-purpose observatory network with several nodes forming a westward transect, where the first shelf node and land infrastructure went into operation in 2013. The observatory nodes are equipped with a range of chemical, physical, and biological sensors. Data from the nodes are streamed continuously to the on-shore infrastructure through fiber optic subsea umbilicals. The data services are following best practice for findability, accessibility, interoperability and reproducibility. The discoverability metadata are available through the Norwegian Marine Data Centre. The data is accessible through standard file transfer protocols (ftp) and open data protocol (opendap), depending on the datatype. The sensor data that follows the SeaDataNet definitions are exposed through OpenDap, whereas data that does not have a defined standard are exposed in the native format through ftp, including echosounder data, hydrophone data and images. The data are organized by node and sensor id, and a dynamic list of sensor ids and data types is provided.
The Lofoten-Vesterålen Ocean Observatory (LoVe Ocean) is located in a highly productive costal shelf-slope area, and in an environment sensitive to external stressors. LoVe Ocean is a cabled multi-purpose observatory network with several nodes forming a westward transect, where the first shelf node and land infrastructure went into operation in 2013. The observatory nodes are equipped with a range of chemical, physical, and biological sensors. Data from the nodes are streamed continuously to the on-shore infrastructure through fiber optic subsea umbilicals. The data services are following best practice for findability, accessibility, interoperability and reproducibility. The discoverability metadata are available through the Norwegian Marine Data Centre. The data is accessible through standard file transfer protocols (ftp) and open data protocol (opendap), depending on the datatype. The sensor data that follows the SeaDataNet definitions are exposed through OpenDap, whereas data that does not have a defined standard are exposed in the native format through ftp, including echosounder data, hydrophone data and images. The data are organized by node and sensor id, and a dynamic list of sensor ids and data types is provided.
Dataset gives outlines of probable occurrences of coral reefs on the Norwegian Continental Shelf without specifying confidence classes. Such outlines are particularly useful for comparing coral occurrences and recognition confidence classification with detailed bottom relief and other types of data.
This dataset is one of four datasets created by the automatic classification of detailed bathymetry data.
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: NO01L, Norwegian Institute for Air Research, NILU, Instituttveien 18, 2007, Kjeller, Norway, NO01L, Norwegian Institute for Air Research, NILU, Instituttveien 18, 2007, Kjeller, Norway
Last metadata update: 2021-02-11T00:00:00Z
Show more...
Abstract:
Ground based in situ observations of aerosol_mass_spectrometer at Birkenes II (NO0002R). These measurements are gathered as a part of the following projects ACTRIS, COLOSSAL, EMEP, NILU and they are stored in the EBAS database (http://ebas.nilu.no/). Parameters measured are: ammonium in pm1_non_refractory (mass_concentration_of_ammonium_in_non_refractory_pm1_in_air), chloride in pm1_non_refractory (mass_concentration_of_chloride_in_non_refractory_pm1_in_air), nitrate in pm1_non_refractory (mass_concentration_of_nitrate_in_non_refractory_pm1_in_air), organic_mass in pm1_non_refractory (mass_concentration_of_organic_mass_in_non_refractory_pm1_in_air), sulphate_total in pm1_non_refractory (mass_concentration_of_sulphate_total_in_non_refractory_pm1_in_air)
License : ACTRIS: http://actris.nilu.no/Content/Documents/DataPolicy.pdf, COLOSSAL: , EMEP: Public open access. We encourage contacting data originators if substatial use of individual time series is planned (fair use data policy)., NILU: Public open access. We encourage contacting data originators if substatial use of individual time series is planned (fair use data policy).
The data set is a time-series of snow pit measurements obtained by the SnowEx community during the 2020 campaign. Between October 2019 and May 2020, data were collected from 454 snow pits at 12 regional locations throughout California, Colorado, Idaho, New Mexico, and Utah, USA. At each of the locations, between 1 and 11 sites covering a range of conditions (terrains, snow depths, etc.) were chosen for weekly snow pit observations. Also available are photos of the field notes and snow pit sites.
This data set contains hourly ground surface temperature measurements collected between 20 October 2019 and 18 July 2020. Data were collected at 7 points along two plant monitoring transects in the Upper Basin of the Senator Beck Study Basin. Temperatures were measured using iButton temperature sensors.