Several columns that contain quality measures from the PCP Quality Assessment Protocol ( anat_cnr, anat_efc, anat_fber, anat_fwhm, anat_qi1, anat_snr, func_efc, func_fber, func_fwhm, func_dvars, func_outlier, func_quality, func_mean_fd, func_num_fd, func_perc_fd, func_gsr).It is used in every URL template described below. It is formed by combining SITE_ID and SUB_ID (the latter of which is zero-padded to have 7 digits). The FILE_ID column, which provides a mapping between the phenotypic data and the preprocessed data filenames.This file contains all of the information from the original phenotypic file provided with the ABIDE release (which is described in the ABIDE phenotypic data legend), with additional metadata about the preprocessed data. Cyberduck also has a command line version that works with Windows, Mac OS X, and Linux.Ī summary spreadsheet that contains phenotypic data and quality assessment information is available here. Cyberduck is one such program that works with Windows and Mac OS X (see screenshot illustrating a configuration to connect to the ABIDE preprocessed data below). There are also file transfer programs that can handle S3 natively and will allow you to navigate through the data using a file browser. You can find instructions for using this script here. An example python script for downloading a subset of the data based on participant demographics is available here (right click and select Save Link As.).

Each file can only be accessed using its literal name- wildcards will not work. You must contruct a URL for each desired file (see URL templates below) and then download it using an HTTP client such as a web browser, wget, or curl. Accessing data from the Amazon S3 bucketĮach file in the S3 bucket can only be accessed using HTTP (i.e., no ftp or scp). In the future, we hope to offer the data on NITRC as well with a tar file for each derivative, pipeline and strategy. The data on S3 are stored as a single file per derivative for each participant, pipeline and strategy, which provides flexibility about the files that are downloaded. The results of the ABIDE Preprocessed initiative are currently available on a public Amazon S3 bucket.

Cyberduck s3 find files