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 geotagged images collected over Gabon, Africa. The images were taken by the NASA Digital Mapping Camera paired with the Land, Vegetation, and Ice Sensor (LVIS), an airborne lidar scanning laser altimeter. The data were collected as part of a NASA campaign, in collaboration with the European Space Agency (ESA) mission AfriSAR.
This data set is an analysis of methyl chloride concentration measured in air extracted from ice core samples from the Siple Dome A deep core in West Antarctica. In total, forty six (46) ice samples, approximately 10-15 cm in length, were analyzed in this study. Data are available in Microsoft Excel format and are available via FTP.
This data contains snow depth measurements derived from time-lapse images collected by cameras placed around Grand Mesa, CO at 29 sites coincident with other SnowEx 2020 measurements. The field view of all cameras includes a 3.049 m, (10 ft) vertical pole that was painted red with a yellow top to serve as a reference for quantifying snow depth. The time-lapse images are archived separately at NSIDC (SNEX20_TLI).
<p>Each Level-1A (L1A) granule incorporates all radiometer data downlinked from the Soil Moisture Active Passive (SMAP) spacecraft for one specific half orbit. The data are scaled instrument counts of the following:</p>
<ul>
<li>The first four raw moments of the fullband channel for both vertical and horizontal polarizations</li>
<li>The complex cross-correlations of the fullband channel</li>
<li>The 16 subband channels for both vertical and horizontal polarizations</li>
</ul>
This data set contains Level-2 geolocated surface elevation and canopy height measurements collected by the NASA Land, Vegetation, and Ice Sensor (LVIS) Facility, an imaging lidar and camera sensor suite.
This data set contains in situ Leaf Area Index (LAI) data collected for the Soil Moisture Active Passive Validation Experiment 2016 Manitoba (SMAPVEX16 Manitoba) campaign.
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 contains surface elevation data over Alaska and Western Canada measured by the NASA Land, Vegetation, and Ice Sensor (LVIS), an airborne lidar scanning laser altimeter. The data were collected as part of NASA's Terrestrial Ecology Program campaign, the Arctic-Boreal Vulnerability Experiment (ABoVE).
This data set contains brightness temperatures obtained by in situ L-band radiometers. The data were collected for the Soil Moisture Active Passive Validation Experiment 2016 Manitoba (SMAPVEX16 Manitoba) campaign.
This data set contains sublimation rate data from laboratory studies of snow. Parameters include flow rate, measured sublimation rate, and theoretical maximum sublimation rate. Data were collected in cold rooms at the Cold Regions Research and Engineering Laboratory (CRREL), in Hanover, NH, during 2005 and 2006. The data were collected as part of a collaborative research project. The project aims to develop a quantitative understanding of the processes active in isotopic exchange between snow/firn and water vapor, which is important to Antarctic ice core interpretation.
Data are available via FTP in Microsoft Excel (.xls) format.
This data set contains static pressure values for Antarctica using the Paroscientific Digiquartz Transmitter. The data were collected by scientists working on the Investigating the Cryospheric Evolution of the Central Antarctic Plate (ICECAP) project, which is funded by the National Science Foundation (NSF) and the Natural Environment Research Council (NERC) with additional support from NASA Operation IceBridge.
This data set contains snow bidirectional reflectance factor (BRF) between 350 and 2500 nm collected on the Yala Glacier on 23 April and 24 April 2018 by the International Centre for Integrated Mountain Development (ICIMOD).
This data set contains in situ measurements of soil moisture and bulk density collected for the Soil Moisture Active Passive Validation Experiment 2016 Manitoba (SMAPVEX16 Manitoba) campaign.
This data set, part of the NASA Making Earth System Data Records for Use in Research Environments (MEaSUREs) program, contains annual ice velocity mosaics for the Greenland Ice Sheet. Velocities are derived from synthetic aperture radar (SAR) data, obtained by TerraSAR-X/TanDEM-X and Sentinel-1A and -1B, and from optical imagery acquired by Landsat 8 and Landsat 9. See <a href="http://nsidc.org/data/measures/gimp">Greenland Ice Mapping Project (GrIMP)</a> for related data.
This data set contains the results of Laser Ablation Inductively Coupled Plasma Mass Spectrometry (LA-ICP-MS) performed on an archive of the Siple Dome A ice core containing the rapid climate warming of Dansgaard-Oeschger Event 21.