ELSA's Uploading Procedures

We recommend that users send large files via anonymous FTP rather than as attachments to email messages. General file transfers or submissions to the ELSA archive can be done by anonymous FTP as described below.

Please e-mail submissions to as attachments using any MIME-compliant mailer only if the attachments are smaller than 500,000 bytes. There should be two files for each submission:

1. An abstract -- in an unencoded standard ASCII text file.
2. A compressed tarfile or PKZip file (or corresponding Unix zipped file)-- containing source code, installation instructions, technical notes, and sample datasets (see our submission standards for acceptable formats and naming conventions for the different types of files). For Unix compression, "compress" or "gzip" formats are preferred.

If your submission is larger than 1 megabyte, or you just want to send a specific user a large dataset, you may upload it to our anonymous FTP drop site as follows:

1. FTP to elsa.Berkeley.EDU
2. Login as "anonymous"
3. Give your e-mail address as the password
4. Change directories to /incoming
5. Turn on binary mode
6. "Put" or "mput" your files with appropriate names, e.g., "yourlastname.zip" or "yourlastname.tar.gz".
7. Quit

The drop site will notify us when a submission has been uploaded, but we would also appreciate a message from you (to to let us know if the file is a submission or if it is intended for an individual.

Please note that the ELSA software library is openly accessible to anyone, and by sending your material to us you are agreeing to public use without your written permission. Please do not submit any files that incorporate proprietary code or copyrighted documentation without the written permission of the author/owner. ELSA will not knowingly archive any submissions that contain proprietary and/or copyrighted material without proper written authorization.

Original submissions are the intellectual property of the author. We believe that the entire research community benefits from careful citation, and we encourage people who use algorithms from this location to make appropriate citations and to generously acknowledge authorship.