Update tutorial to use new DDT data

[Cadair]

We should update the tutorial to use the data from pid_2_114/115 which is some unembargoed DDT from 2023.

Here are some good datasets I have found:

2023/10/16 18:45 - 2023/10/16 18:48

Fido search

```python from sunpy.net import Fido, attrs as a import dkist.net Fido.search(a.dkist.Proposal("pid_2_114"), a.Time("2023/10/16 18:45", "2023/10/16 18:48")) ```

• AJQWW - VBI - 3 timesteps of 9 frame mosaics, seeing is excellent.
• (BEEWM[1] AGJZM AKPWX) - VBI - co-observed with above in different passbands.
• (AEEXW, ADDPJ, BZYJD) - VISP - Stokes I only, 4 map repeats of 2611 raster steps, cobserved with AJQWW etc. - These are O(25Gb) unfortunately.

2023/10/16 18:21 - 2023/10/16 18:41

Fido search

```python from sunpy.net import Fido, attrs as a import dkist.net Fido.search(a.dkist.Proposal("pid_2_114"), a.Time("2023/10/16 18:21", "2023/10/16 18:41")) ```

• (BXYGP, BWVEV[1], ADDYP) - VBI - Not mosaicked
• (BLDMN, BJQZW, BKPLX) - VISP - Full Stokes, good seeing, small dataset (one 425 step raster).

[1] Images aren't very clear on this dataset as that passband has major reconstruction issues.

Other's I found on my travels

• BDDXM - VBI - 2 timestep of mosaic, seeing is excellent

[Cadair]

For the current tutorial we require a VISP dataset, preferably with stokes so I would suggest BKPLX, however, we don't actually need any data for anything other than stokes I.

We also need a mosaicked VBI dataset for the example where we stitch VBI data, so AJQWW for that.

I put this script together to make tar files of the subsets we need for the existing docs: https://gist.github.com/Cadair/f327ecfd9236daf488ee9cc1ad631a99