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Due to the current gap in continued funding from the U.S. National Science Foundation (NSF), the NSF Unidata Program Center has temporarily paused most operations. See NSF Unidata Pause in Most Operations for details.
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So it may simply be that extraction-from-dataset-oriented services can never be truly RESTful?
I fear so. Having said that, if we take a feature-centric approach then one might consider that a dataset (or "data granule" in NERC Data Grid parlance) contains a finite number of features, each with its own id. It might be possible to have a RESTful approach to getting these features, but I bet it wouldn't take long for the REST model to break down. Is it really possible to identify in advance all the possible features that might be extracted from a dataset? I doubt it, even for simple cases such as a satellite image. Jon -- -------------------------------------------------------------- Dr Jon Blower Tel: +44 118 378 5213 (direct line) Technical Director Tel: +44 118 378 8741 (ESSC) Reading e-Science Centre Fax: +44 118 378 6413 ESSC Email: jdb@xxxxxxxxxxxxxxxxxxxx University of Reading 3 Earley Gate Reading RG6 6AL, UK --------------------------------------------------------------
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