Working with our data#
Our data is accessible using several different methods. In the Downloading data section we discuss these options, along with details about several software packages and our API. A collection of quick piece-wise examples in Python and IDL are available to help you get started on working with the data.
Our data is available using Python and IDL libraries, basic HTTP, Rsync, FTP, and our API directly. HTTP: by project, by instrument type Rsync: FTP: IDL: IDL-AuroraX, IDL-UCRio RESTful API: https://api.phys.ucalgary.ca Analysis support software We have several analysis support libraries for working with the optical and riometer data we provide. Software is available for both Python and IDL. PyAuroraX / IDL-AuroraX are for working with the optical data (all-sky imagers, spectrographs), and PyUCRio / IDL-UCRio are for working with the riometer data (single frequency riometers, hyper-spectral riometers). Examples of using these libraries are shown in the below crib sheets. If you have questions, please reach out to our team: Emma Spanswick, Eric Donovan. UCalgary has several Python and IDL tools available to work with our data: Optical instruments (All-sky Imagers, Spectrographs) Python: PyAuroraX IDL: IDL-AuroraX Riometer instruments (single frequency riometers, hyper-spectral riometers) If you have any questions or feature requests for the software packages, feel free to reach out to the UCalgary team: Emma Spanswick, Eric Donovan. The UCalgary Space Remote Sensing API is a RESTful web service that provides various functions for our data best facilitated by such a service. The API and its interactive documentation can be found at https://api.phys.ucalgary.ca. The API it utilized by our Python and IDL libraries PyAuroraX, PyUCRio, IDL-AuroraX, and IDL-UCRio. We recommend that you utilize these libraries instead of the API directly. However, the option is always there for you to use the API directly if it best suites your use-case. Please reach out to the UCalgary Team if you have any questions: Emma Spanswick, Eric Donovan. The below links are meant to provide access to simple examples of various tasks when working with our data. These examples can also be found in the PyAuroraX, IDL-AuroraX, PyUCRio, and IDL-UCRio Github repositories, if you prefer to browse them there. Downloading Data#
rsync rsync://data.phys.ucalgary.caftp://data.phys.ucalgary.caSoftware Packages#
API#
Crib Sheets#
Python#
IDL#