Berkeley Data Cloud

Image View Screenshot

What's New

In recent months, an imagery viewer application has been added to the BDC front end software. A screen shot is below.

We are also now registering still-frame data to GRDC.NERSC.gov and MUSE.LBL.gov that can be browsed and visualized with this application. The new data can also be downloaded in fashions similar to other datasets.

Software

BDC comprises a web-based front end and a backend that serves data using a combination of SQL and FastBit indexing. Data can also be retrieved, and analysis results published using an API, recent API releases are below.

GRDC/RadMAP: grdc.nersc.gov is the primary BDC instance providing large datasets in an open-to-all (upon sign-up) environment. Presently, the data primarily comprises of collections by the RadMAP (Radiological Mobile Acquisitions Platform) system. RadMAP collects ambient environmental radiological (gamma-ray and neutron) data alongside a suite of contextual sensors (video, lidar, hyperspectral) from a truck-based platform. The majority of the data to date has been collected in and around Berkeley and the San Francisco Bay Area. In addition to RadMAP, we have been granted permission to publish a small set of data collected using an Radiation Solutions Inc. RS-700 NaI detector array fielded on a Bell-412 helicopter. Request Access

MUSE is short for the Multi-agency urban search experiment. MUSE.lbl.gov contains data from a wide range of radiation detectors and other sensors that have been fielded at a controlled facility that mocks-up a small urban area. The facility is located at the Ft. Indiantown Gap National Guard Training Center. The goals of the MUSE project are to collect and distribute data to facilitate modeling and simulations of radiological detection in an urban environment. The data collected comprise one of the most thorough radiological characterizations of any urban setting, as well as deployment of many relevant sensors that can be used to benchmark simulation models. Request Access

ARES is focused on improving the ability to detect, localize, and identify static or moving radiologic or nuclear sources from an airborne platform. The project is examining exploiting more modern detection and localization algorithms to process data from multiple sensors, computer vision-based vehicle tracking algorithms, and leveraging better knowledge of the search area through better helicopter telemetry and databases that provide detailed information about buildings and terrain beneath the platform, as well as the materials that comprise them. The ARES radiation detector system comprises 92 synchronized CsI(Na) detectors positioned to enable active mask and Compton imaging.

BDC is providing ARES with data management, data replay and source injection capabilities. The entirety of the ARES characterization is based on BDC software. At present, the ARES dataset is only available to DNDO and DNDO-supported researchers. Access cannot be granted here.

CM/S DS is a non-public instance of BDC that is hosting data for NNSA's Aerial Measuring System (AMS). AMS Project Page