Brightness data
<p>This file contains brightness data in Rayleigh for OI 630.0 nm (red line), OI 557.7 (green line), N<sup>+</sup><sub>2</sub> 427.8 nm (blue line) through the night of June 22-23, 2015 obtained using the HiT&MIS from Lowell, MA.</p> <p> </p> <p>The files are in numpy's .npz format and can be accessed (in python) as such after zipping:</p> <p>import numpy as np</p> <p>june22=np.load("june22_23_brightness.npz")<br> i630=(june22['imi630'])# imi630 - OI 630.0 nm brightness at 37-54 degrees zenith angles<br> i557=(june22['imi557'])# OI 557.7 nm brightness at 37-54 degrees zenith angles<br> i427=(june22['imi427'])# N2+ 427.8 nm brightness at 37-54 degrees zenith angles.</p> <p>i6305=june22['imi6305']# NeI 630.5 nm brightness (this is not calibrated so in Arb. units) at 37-54 degrees zenith angle</p> <p>time=june22['time']--> Time in Local time</p> <p>Similarly, june22[iml...] and june22[imz...] can be used to get the brightnesses at 54-70 degrees and 20-37 degrees zenith angles. For example june22['imz630] gives the red line brightness at 20-37 degrees zenith angle.</p> <p>Contact me at saurav_aryal@student.uml.edu if you have any specific questions.</p>
ShareScore
32/100
Overall dataset sharing score
Score breakdown
These five areas show where the dataset supports — or may limit — practical reuse.
- Stewardship
- 4
- Harmonization
- 4
- Access
- 16
- Reuse readiness
- 8
- Engagement
- 0