[CRITICAL] Create online database for AF96 dataset

[argerlt]

Orix uses code like this to automatically download test datasets and run example codes in Jupyter notebooks:

========= import os import tempfile

tempdir = tempfile.mkdtemp() + "/" fname = "sdss_ferrite_austenite.ang" source = f"https://folk.ntnu.no/hakonwii/files/orix-demos/{fname}" target = os.path.join(tempdir, fname)

try: os.mkdir(tempdir) except: pass if not os.path.exists(target): import urllib.request urllib.request.urlretrieve(source, target)

xmap = load(target) xmap.plot(overlay="dp") # Dot product values added to the alpha (RGBA) channel xmap

This massively increases the likelyhood that people will use the software, as opposed to the current method used in AusRecon, where users are expected to follow the link below, follow it to a 3rd party website, download software, create an account, and then download and crop the images themselves: https://doi.org/10.18126/iv89-3293

Some options: 1). use hosting on OSU (talk to steve about this), 2). Host on publically accessible google drive through AFRL 3). Fix One Drive to make it work correctly 4). Some other solution you prefer

Here is a link to a jupyter notebook example with some starter code: https://github.com/mesoOSU/Mart2Aust_Hackathon/blob/main/doc/Reconstruction_Example.ipynb

[argerlt]

Ideally, this should be hosted on OSU website too. Talk to Steve for details

[argerlt]

updated onedrive link

https://buckeyemailosu-my.sharepoint.com/:f:/g/personal/gerlt_1_buckeyemail_osu_edu/EhdiXESF8WFCgG98De-Qx7AB4Hwg9aV0qk2JTlZ2sGuuVQ?e=eIhCar

[argerlt]

Another option: we could set up an online data server like this: http://pajarito.materials.cmu.edu/ No idea how hard this is, I think it might require a dedicated computer though