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 by changing the operators used in the text field and prefixing words with '+' and '-' to indicate whether they have to be present or should not be present 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.
Citation of data and service
If you use data retrieved through this portal, please acknowledge the efforts of the data portal and the data centres contributing.
The information required to properly cite a dataset is normally provided in the discovery metadata the datasets.
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)
This data set contains an eight-day time series of vertical temperature profile measurements. Measurements were collected using a thermoprobe to a depth of 30 cm at two site locations. These data were collected as part of the SnowEx 2020 Intensive Observation Period in Grand Mesa, Colorado. Alongside temperature profiles, this data set contains snow depth measurements, manual temperature measurements, and thermal infrared camera images. These data are published without QA/QC or calibration with manual measurements.
This data set the raw files collected with a Sensors & Software 1GHz ground penetrating radar (GPR) as part of the SnowEx 2020 Intensive Observation Period (IOP) at Grand Mesa, Colorado between 06 February 2020 and 09 February 2020.
The more processed data are published in SnowEx20 Grand Mesa IOP CSU 1GHz GPR, Version 1 (DOI: 10.5067/S5EGFLCIAB18)
This data set contains two-way travel times, snow depth and snow water equivalent (SWE) collected with a Sensors & Software 1GHz ground penetrating radar (GPR) as part of the SnowEx 2020 Intensive Observation Period (IOP) at Grand Mesa, Colorado between 06 February 2020 and 09 February 2020.
These data are derived from the SnowEx20 Grand Mesa IOP CSU 1GHz GPR Raw, Version 1 data set (DOI: 10.5067/CT6NS2LIASRS)
This data set contains airborne microwave brightness temperature observations from the Goddard Space Flight Center SWESARR (Snow
Water Equivalent Synthetic Aperture Radar and Radiometer) instrument during the winter (10-12 February 2020) NASA SnowEx 2020 campaign at Grand Mesa, CO.
Observations were made at three frequencies (10.65, 18.7, and 36.5 GHz; referred to as X, K, and Ka bands, respectively), at horizontal polarization with a nominal 45-degree look angle.
This data set provides locations and depths of melt ponds in the Multi-Year Arctic Sea Ice Region, calculated from ATLAS/ICESat-2 L2A Global Geolocated Photon Data, Version 5 (ATL03) using an autoadaptive algorithm.
This data set consists of soil moisture and soil temperature measurements taken during the SnowEx 2021 field campaign. Soil moisture probes were deployed at 9 locations within the Montana Prairie Station study area and monitored soil properties at four different depths (5, 10, 20 and 50 cm).
This data set contains 2-m resolution DEM composites and a DEM difference map over the Chamoli disaster area in Uttarakhand, India, where on 7 February 2021 a glacier burst led to a massive flood. These post-event DEMs were constructed from monoscopic Maxar/DigitalGlobe WorldView-2, WorldView-3, and GeoEye-1 images acquired on 10 February 2021 and 11 February 2021, and one DEM was generated from Pléiades-HR1B in-track stereo images acquired on 10 February 2021. The DEM difference map was created from the September 2015 weighted-mean DEM composite and the 10-11 February 2021 weighted-mean DEM composite.
The September 2015 pre-event DEM is available as a separate data set (https://nsidc.org/data/HMA2_CPRE).
This data set provides apparent surface spectral reflectance imagery which demonstrates snow albedo and snow optical property evolution across two distinct snow-covered environments in Colorado. Data collection occurred in the spring of 2021 as part of the NASA SnowEx mission. The two study sites (Senator Beck Basin and Grand Mesa) were chosen for their contrasting terrain and vegetation characteristics. Data collection occurred over three days (19 March, 1 April, and 29 April) to produce a time series data set across varying snow conditions.
The Hive Wireless sensor network project designed and assembled automatic weather stations that are currently installed at Kongsvegen glacier in Svalbard and records near surface meteorological variables: air temperature, relative humidity, air pressure, snow height, wind, surface skin temperature... The HiveWSN kit consists of: 1) a brain box containing the power system, the microcontroller, the communication system and the connectivity to the sensors, 2) A set of sensors either commercially available or custom built at the Department of Geosciences at UiO as part of the UiO Hive project. The kit is autonomous and packaged as a beam that can be installed on simple mast. Currently, there are two versions of the WSN system: v1 from 2019, and v2 from 2021. Both are based on the board Wasmpote v15 which handle power, communication, and data brokerage. The firmware running all instances has been written as part of the project UiO Hive, and include a set of tools described on the HiveWSN project website: https://www.mn.uio.no/geo/english/research/projects/hive. Important note: the height of the sensor to the snow/ice surface is not corrected for variations in surface deposition or melt over time. The sensor box is fixed to a stake drilled into the snow/ice.
The Hive Wireless sensor network project designed and assembled automatic weather stations that are currently installed at Kongsvegen glacier in Svalbard and records near surface meteorological variables: air temperature, relative humidity, air pressure, snow height, wind, surface skin temperature... The HiveWSN kit consists of: 1) a brain box containing the power system, the microcontroller, the communication system and the connectivity to the sensors, 2) A set of sensors either commercially available or custom built at the Department of Geosciences at UiO as part of the UiO Hive project. The kit is autonomous and packaged as a beam that can be installed on simple mast. Currently, there are two versions of the WSN system: v1 from 2019, and v2 from 2021. Both are based on the board Wasmpote v15 which handle power, communication, and data brokerage. The firmware running all instances has been written as part of the project UiO Hive, and include a set of tools described on the HiveWSN project website: https://www.mn.uio.no/geo/english/research/projects/hive. Important note: the height of the sensor to the snow/ice surface is not corrected for variations in surface deposition or melt over time. The sensor box is fixed to a stake drilled into the snow/ice.
The Hive Wireless sensor network project designed and assembled automatic weather stations that are currently installed at Kongsvegen glacier in Svalbard and records near surface meteorological variables: air temperature, relative humidity, air pressure, snow height, wind, surface skin temperature... The HiveWSN kit consists of: 1) a brain box containing the power system, the microcontroller, the communication system and the connectivity to the sensors, 2) A set of sensors either commercially available or custom built at the Department of Geosciences at UiO as part of the UiO Hive project. The kit is autonomous and packaged as a beam that can be installed on simple mast. Currently, there are two versions of the WSN system: v1 from 2019, and v2 from 2021. Both are based on the board Wasmpote v15 which handle power, communication, and data brokerage. The firmware running all instances has been written as part of the project UiO Hive, and include a set of tools described on the HiveWSN project website: https://www.mn.uio.no/geo/english/research/projects/hive. Important note: the height of the sensor to the snow/ice surface is not corrected for variations in surface deposition or melt over time. The sensor box is fixed to a stake drilled into the snow/ice.
The Hive Wireless sensor network project designed and assembled automatic weather stations that are currently installed at Kongsvegen glacier in Svalbard and records near surface meteorological variables: air temperature, relative humidity, air pressure, snow height, wind, surface skin temperature... The HiveWSN kit consists of: 1) a brain box containing the power system, the microcontroller, the communication system and the connectivity to the sensors, 2) A set of sensors either commercially available or custom built at the Department of Geosciences at UiO as part of the UiO Hive project. The kit is autonomous and packaged as a beam that can be installed on simple mast. Currently, there are two versions of the WSN system: v1 from 2019, and v2 from 2021. Both are based on the board Wasmpote v15 which handle power, communication, and data brokerage. The firmware running all instances has been written as part of the project UiO Hive, and include a set of tools described on the HiveWSN project website: https://www.mn.uio.no/geo/english/research/projects/hive. Important note: the height of the sensor to the snow/ice surface is not corrected for variations in surface deposition or melt over time. The sensor box is fixed to a stake drilled into the snow/ice.
The Hive Wireless sensor network project designed and assembled automatic weather stations that are currently installed at Kongsvegen glacier in Svalbard and records near surface meteorological variables: air temperature, relative humidity, air pressure, snow height, wind, surface skin temperature... The HiveWSN kit consists of: 1) a brain box containing the power system, the microcontroller, the communication system and the connectivity to the sensors, 2) A set of sensors either commercially available or custom built at the Department of Geosciences at UiO as part of the UiO Hive project. The kit is autonomous and packaged as a beam that can be installed on simple mast. Currently, there are two versions of the WSN system: v1 from 2019, and v2 from 2021. Both are based on the board Wasmpote v15 which handle power, communication, and data brokerage. The firmware running all instances has been written as part of the project UiO Hive, and include a set of tools described on the HiveWSN project website: https://www.mn.uio.no/geo/english/research/projects/hive. Important note: the height of the sensor to the snow/ice surface is not corrected for variations in surface deposition or melt over time. The sensor box is fixed to a stake drilled into the snow/ice.
The Hive Wireless sensor network project designed and assembled automatic weather stations that are currently installed at Kongsvegen glacier in Svalbard and records near surface meteorological variables: air temperature, relative humidity, air pressure, snow height, wind, surface skin temperature... The HiveWSN kit consists of: 1) a brain box containing the power system, the microcontroller, the communication system and the connectivity to the sensors, 2) A set of sensors either commercially available or custom built at the Department of Geosciences at UiO as part of the UiO Hive project. The kit is autonomous and packaged as a beam that can be installed on simple mast. Currently, there are two versions of the WSN system: v1 from 2019, and v2 from 2021. Both are based on the board Wasmpote v15 which handle power, communication, and data brokerage. The firmware running all instances has been written as part of the project UiO Hive, and include a set of tools described on the HiveWSN project website: https://www.mn.uio.no/geo/english/research/projects/hive. Important note: the height of the sensor to the snow/ice surface is not corrected for variations in surface deposition or melt over time. The sensor box is fixed to a stake drilled into the snow/ice.
The Hive Wireless sensor network project designed and assembled automatic weather stations that are currently installed at Kongsvegen glacier in Svalbard and records near surface meteorological variables: air temperature, relative humidity, air pressure, snow height, wind, surface skin temperature... The HiveWSN kit consists of: 1) a brain box containing the power system, the microcontroller, the communication system and the connectivity to the sensors, 2) A set of sensors either commercially available or custom built at the Department of Geosciences at UiO as part of the UiO Hive project. The kit is autonomous and packaged as a beam that can be installed on simple mast. Currently, there are two versions of the WSN system: v1 from 2019, and v2 from 2021. Both are based on the board Wasmpote v15 which handle power, communication, and data brokerage. The firmware running all instances has been written as part of the project UiO Hive, and include a set of tools described on the HiveWSN project website: https://www.mn.uio.no/geo/english/research/projects/hive. Important note: the height of the sensor to the snow/ice surface is not corrected for variations in surface deposition or melt over time. The sensor box is fixed to a stake drilled into the snow/ice.