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Das2Servers

Jeremy Faden edited this page Mar 17, 2021 · 5 revisions

A Das2Server is a data server introduced by the Radio and Plasma Wave Group (RPWG) at the University of Iowa in 2002. The server is still actively used for missions there, serving mostly time series parameters and spectrograms, and spectrograms that contain sampling mode changes. This is still unusual, and it uses custom "Das2Streams" to communicate data with mode changes. (QStreams were introduced to subsume this functionality, but both are still used.) Another central feature to Das2Servers is their server-side data reduction. The server typically sends over data at near pixel resolution, so the scientist can quickly get an overview of the data and zoom in to a region of interest. (Note reduction is done in the time dimension, and there have been proposals for how this would be supported in multiple dimensions.)

Autoplot supports Das2Servers, and is central to data analysis in the RPWG and other groups. This data source supports discovery, so when the name of a Das2Server is known one can query the server for available data sets.

das2server dialog

The "Reader Parameters" area is a text box which can contain special parameters for the server. The server initializes a "Reader" to access the data and calculate a data response, and parameters here are passed into the Reader. The "View DSDF" button will give some information about the parameters the reader accepts. Note a transaction for describing the reader parameters has been planned for a while, and presumably at some time this dialog may become a GUI control panel.

Table Of Contents

URIs that Point to Data Files

Download a CDF and Plot it with Autoplot

Load a CDF directly from a website

URIs that Point to Data Servers

Saving to vap files

Loading vap files

Data Sources

CDF Files

HDF/NetCDF Files

Aggregation

CDAWeb

HAPI Servers

Exporting Data

Export Types

Additional controls

Aggregation

Tools

PNGWalk Tool

Data Mash Up

Events List

Run Batch

Advanced Topics

TimeSeriesBrowse and other Capabilities

Events Lists

Caching

Autoranging

Managing Autoplot's Data Cache

Using Autoplot with Python, IDL, and Matlab

Reading data into Python

Reading data into IDL

Reading data into Matlab

QDataSet Data Model

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