Welcome to the new OPeNDAP website!

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OPeNDAP is fueled by the vision of seamless, universal access to scientific data. Serving as a bridge between those providing data and those utilizing data, OPeNDAP offers unique benefits to each.

Photo by NASA

Benefits for Those Accessing & Manipulating Data

Widely Adopted

The OPeNDAP protocol has been implemented by hundreds of data providers and is a NASA community standard.

Domain Neutral

OPeNDAP is deliberately domain neutral, making it easier to collaborate across scientific, research, and other disciplines.

Multiple Data Types

OPeNDAP allows access and manipulation of structured data, gridded data, multidimensional arrays, time series data, remote sensing data, and more.

Remote Inspection & Subsetting

OPeNDAP allows you to request and retrieve only the subset of data you need—eliminating massive or even size-prohibitive data downloads.

Multiple File Formats

OPeNDAP can serve and access data in multiple formats (such as NetCDF and HDF), so you don’t have to worry about conversions or formatting.

Streamlined Workflows

OPeNDAP works with the tools you already use, such as MATLAB, IDL, R, Panoply, and Python libraries like Pydap, netCDF4, and Xarray.

Never heard of OPeNDAP? You may still have used it—or maybe are even using it now! The OPeNDAP protocol is behind many popular servers including THREDDS, ERDDAP, LAS, and Pydap.

Benefits for Those Managing & Providing Data

Reduced Costs

By allowing users to request and retrieve specific subsets of data, OPeNDAP reduces the need for massive data transfers and reduces the costs of data storage and bandwidth.

Integration with Data Tools

OPeNDAP works with the tools and libraries that end users (especially those in the Earth sciences) are already utilizing: Python, R, MATLAB, IDL, Ferret, and more.

Broad Compatibility

OPeNDAP supports a wide range of data formats and types, making it a versatile choice and “one-stop shop” for serving diverse datasets.

Legacy Data Interoperability

OPeNDAP servers can accept multiple types of data inputs and present multiple views of them—taking in early HDF, for example, and serving them as netCDF4, XML, HTML, and more.


Because the OPeNDAP protocol is open-source, developers can customize or extend it to fit your operational requirements and data specifications.


OPeNDAP’s standardized metadata and data structuring guidelines make datasets more discoverable and accessible, simplifying data sharing and collaboration.