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Explore New Ideas, Prototypes and Tools.

Projects in PO.DAAC Labs represent new avenues of exploration and new ideas for future development and system evolution. Items are selected for Labs based on a potential use that we see, but are ultimately at the discretion of the community to gauge their applicability and usefulness, and thus their adoption or rejection within the PO.DAAC system.

This is a great chance to offer feedback directly to the engineers and developers, and help shape the future technologies in PO.DAAC.

For questions or to provide feedback, please visit the PO.DAAC Forum


Mining and Utilizing Dataset Relevancy from Oceanographic Datasets to Improve Data Discovery (MUDROD)

MUDROD is collaborative effort between George Mason University and NASA JPL to improve the search and relevancy ranking of oceanographic data via a simple search interface and powerful backend services. MUDROD  has mined and utilized the combination of Earth Science dataset metadata, usage metrics, and user feedback to objectively extract relevance for improved data discovery and access at the Physical Oceanographic Distributed Active Archive Center (PO.DAAC).  In addition to improved dataset relevance and ranking, the MUDROD search engine also returns recommendations to related datasets and related user queries.

For questions or to provide feedback, please visit the MUDROD Forum.


OceanXtremes: Oceanographic Data-Intensive Anomaly Detection and Analysis Portal

OceanXtremes is a computational platform powered by an intelligent, Cloud-based analytic service backend that enables execution of domain-specific, multi-scale anomaly and feature detection algorithms across the entire archive of ocean science datasets. Using this platform scientists can efficiently search for anomalies or ocean phenomena, compute data metrics for events or over time-series of ocean variables, and efficiently find and access all of the data relevant to their study (and then download only that data).

For questions or to provide feedback, please visit the OceanXtremes Forum.


Distributed Oceanographic Match-Up Service (DOMS)

The Distributed Oceanographic Match-Up Service (DOMS) is a collaborative effort between FSU/COAPS, NCAR, and NASA JPL. DOMS reconciles satellite and in situ datasets in support of NASA’s Earth Science mission. The service provides a mechanism for users to input a series of geospatial references for satellite observations and receive the in situ observations that are matched to the satellite data within a selectable temporal and spatial search domain. The service is designed to provide a community-accessible tool that dynamically delivers matched data and allows the scientists to only work with the subset of data where the matches exist.

For questions or to provide feedback, please visit the DOMS Forum.


Virtual Quality Screening Service (VQSS)

The Virtual Quality Screening Service (VQSS) is a quality-based data filtering and subsetting service. When working with satellite-based earth science data records users often need to access, understand and apply granule-based data quality information, such as that contained in flags. However, current subsetting technologies and visualization packages generally do not understand how to apply quality information. The Virtual Quality Screening Service (VQSS) address these issues and concerns with an infrastructure to expose, apply, and extract quality screened data through implementations of strategic databases and web services, data discovery, and application of granule-based quality information. This capability has been deployed on datasets from the NASA Soil Moisture Active Passive (SMAP) Mission and Group for High Resolution Sea Surface Temperature (GHRSST) MODIS and VIIRS datasets.

For questions or to provide feedback, please visit the VQSS Forum.

PO.DAAC Giovanni

PO.DAAC Giovanni

Giovanni is an on-line toolkit for the statistical intercomparison of geophysical parameters.  The Giovanni user interface allows users to find and display selected data in a number of representations (for example, on map or as a time-series plot), and subsequently download the plot source files in netCDF format.  Developed by the Goddard Earth Sciences Data and Information Services Center, PO.DAAC has installed a local instance of Giovanni to begin allowing users to experiment with the Giovanni toolkit using some of our own PO.DAAC datasets.

For questions or to provide feedback, please visit the PO.DAAC Giovanni Forum

Webification image


Webification (W10n) is ReSTful Webservice technology providing simplified access to PODAAC data and metadata via HTTP/HTTPS protocols with URLs comprised of well-defined parameters. W10n supports major Earth science data formats like NetCDF and HDF 4/5, and abstracts an arbitrary data store as a hierarchical tree of nodes for  each associated attributes which can be interrogated.  Direct access to inner components of the tree is via HTTP requests from either a web browser, script or similar client. Results of W10n calls return specified measurement arrays or metadata elements via subset by array value (v.s. subset by array index), according to supported output formats (JSON, HTML, netCDF) as specified in the URL request.

For questions or to provide feedback, please visit the Webification (w10n) Forum

Datacasting image


Datacasting is an RSS-based technology for accessing Earth Science information. With Datacasting, data providers can reach untold numbers of users using standards compliant technology.

For questions or to provide feedback, please visit the Datacasting Forum