![]() ![]() To download data using IDL, the IDLnetURL object allows IDL to act as a client to an HTTP or FTP server. If you use IDL versions before 8.4, there may be a problem with certificates - see below. tar.gz, or use FILE_UNTAR instead, since the compression is automatically detected note that the directory structure needs to be in place first (see csa_untar.pro, given above). This has been reported to Harris, the owners of IDL. Either change the extension to. tgz and if used, will cause the file to expand forever (or until it fills your hard drive, whichever happens first.). WARNING: currently (July 2021), IDL's FILE_GUNZIP has a problem with the extension. There is an issue with IDL that means that the downloaded files cannot be directly untarred the directory structure must be built first - this basic function ( csa_untar.pro) performs the scanning, making the required directories, then finally untarring the downloaded package. įor iFile = 1:numel(fileNames), disp(fileNames), endĪ complete IDL routine, that uses TAP to download data directly from IDL is csa_tap_product.pro to download data, developed by Andrew Walsh. ![]() Options = weboptions('RequestMethod', 'get', 'Timeout', Inf) With MATLAB R2014b, websave was introduced and recommended over urlwrite. MATLAB R2014B OR LATER (I.E., LATEST) WEBSAVE Note that since R2013a, the https request is essentially constructed in the same way as detailed in the How-to page but the parameter-value pairs are given as pairs of strings, e.g., 'parameter', 'value'. ![]() You can check your MATLAB version by typing ver at the MATLAB prompt. All three options will work with R2014b or later, but if you have R2014b or later, we would recommend using websave. There are different commands that can be used depending on your version of MATLAB. In our example here, this time interval includes a caveat about calibration, so two folders will be in the package. Inside this folder will be another folder with the name of the dataset requested, containing the data file(s) requested : CSA_Download_yyyyMMdd_hhmm//_.įor example: CSA_Download_20180521_1134/C1_CP_WHI_ELECTRON_DENSITY/C1_CP_WHI_ELECTRON_DENSITY_20111110_180000_20111110_210000_V120703.cefīy default, if this dataset comes with additional information, such as active caveats, this will be included in the package. ![]() tgz that when gunzipped and untarred will be a folder called CSA_Download_yyyyMMdd_hhmm using the date and time of the retrieval. The downloaded file package from a synchronous data request will be a. Here are some demonstrations of accessing data (synchronous/direct downloads) using MATLAB, IDL and Python.Īn example of a script for performing an Asynchronous request using Python can be found at the bottom of this page. ![]()
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