NAME

       datalad ls - list summary information about URLs and dataset(s)

SYNOPSIS

       datalad   ls   [-h]  [-r]  [-F]  [-a]  [-L]  [--config-file  CONFIG_FILE]  [--list-content
              {None,first10,md5,full}] [--json {file,display,delete}] [PATH/URL [PATH/URL ...]]

DESCRIPTION

       ATM only s3:// URLs and datasets are supported

       Examples:

       $  datalad  ls  s3://openfmri/tarballs/ds202   #  to  list  S3   bucket   $   datalad   ls
       # to list current dataset

OPTIONS

       PATH/URL
              URL or path to list, e.g. s3://... Constraints: value must be a string

       -h, -\-help, -\-help-np
              show  this  help  message.  --help-np  forcefully  disables  the use of a pager for
              displaying the help message

       -r, -\-recursive
              recurse into subdirectories.

       -F, -\-fast
              only perform fast operations. Would be overridden by --all.

       -a, -\-all
              list all (versions of) entries, not e.g. only latest entries in case of S3.

       -L, -\-long
              list more information on entries (e.g. acl, urls in s3, annex sizes etc).

       -\-config-file CONFIG_FILE
              path to config file which could help the 'ls'. E.g. for s3:// URLs  could  be  some
              ~/.s3cfg file which would provide credentials. Constraints: value must be a string

       -\-list-content {None, first10,md5,full}
              list  also  the  content  or  only  first 10 bytes (first10), or md5 checksum of an
              entry. Might require expensive transfer and dump binary output to your  screen.  Do
              not enable unless you know what you are after. [Default: False]

       -\-json {file, display, delete}
              metadata  json of dataset for creating web user interface. display: prints jsons to
              stdout or file: writes each subdir metadata to json file in subdir  of  dataset  or
              delete: deletes all metadata json files in dataset.

AUTHORS

        datalad is developed by The DataLad Team and Contributors <team@datalad.org>.