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Brightness data

<p>This file contains brightness data in Rayleigh&nbsp;for OI 630.0 nm (red line), OI 557.7 (green line), N<sup>+</sup><sub>2</sub>&nbsp;427.8 nm (blue line) through the night of June 22-23, 2015 obtained using the HiT&amp;MIS from Lowell, MA.</p> <p>&nbsp;</p> <p>The files are in numpy&#39;s .npz format and can be accessed (in python) as such after zipping:</p> <p>import numpy as np</p> <p>june22=np.load(&quot;june22_23_brightness.npz&quot;)<br> i630=(june22[&#39;imi630&#39;])# imi630 - &nbsp;OI 630.0 nm brightness at 37-54 degrees zenith angles<br> i557=(june22[&#39;imi557&#39;])# OI 557.7 nm brightness at 37-54 degrees zenith angles<br> i427=(june22[&#39;imi427&#39;])# N2+ 427.8 nm brightness at 37-54 degrees zenith angles.</p> <p>i6305=june22[&#39;imi6305&#39;]# NeI 630.5 nm brightness (this is not calibrated so in Arb. units) at 37-54 degrees zenith angle</p> <p>time=june22[&#39;time&#39;]--&gt; 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[&#39;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