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Data for "Multi-band Spectropolarimetric Image Data of Lunar Maria, Pyroclastics, Fresh Craters, and Swirl Materials"

<p>This data repository contains the georeferenced spectropolarimetric data analyzed in the following article:</p> <p>W&ouml;hler, C., Arnaut, M., Bhatt, M., 2024. Multi-band Spectropolarimetry of Lunar Maria, Pyroclastics, Fresh Craters, and Swirl Material. Astronomical Journal, accepted for publication.</p> <p>The data products are available in separate .zip archives in GEOTIFF and BSQ format. Each .zip archive contains data from eight different observations:</p> <table> <tbody> <tr> <td>Dataset</td> <td>Date</td> <td>UT time</td> <td>Phase angle</td> </tr> <tr> <td>20221114_WOP</td> <td>Nov 14th, 2022</td> <td>05:20</td> <td>64&deg;</td> </tr> <tr> <td>20221216_WOP</td> <td>Dec 16th, 2022</td> <td>04:10</td> <td>88&deg;</td> </tr> <tr> <td>20230225_AT</td> <td>Feb 25th, 2023</td> <td>19:20</td> <td>108&deg;</td> </tr> <tr> <td>20230227_AT</td> <td>Feb 27th, 2023</td> <td>21:44</td> <td>85&deg;</td> </tr> <tr> <td>20230228_AT</td> <td>Feb 28th, 2023</td> <td>19:33</td> <td>74&deg;</td> </tr> <tr> <td>20230302_MV</td> <td>Mar 2nd, 2023</td> <td>19:03</td> <td>52&deg;</td> </tr> <tr> <td>20230302_AT</td> <td>Mar 2nd, 2023</td> <td>19:10</td> <td>52&deg;</td> </tr> <tr> <td>20230402_AT</td> <td>Apr 2nd, 2023</td> <td>20:03</td> <td>38&deg;</td> </tr> </tbody> </table> <p>&nbsp;</p> <p>Data products of spectropolarimetric image analysis in GEOTIFF and BSQ format<br>=============================================================================</p> <p>Prefix 1: Date of data acquisition (YYYYMMDD)<br>Prefix 2: Area (WOP: Western Oceanus Procellarum; MV: Mare Vaporum; AT: Atlas)</p> <p>F &nbsp; &nbsp;: image intensity (5 bands) [DN]<br>P &nbsp; &nbsp;: degree of linear polarization (DoLP) (5 bands)<br>W &nbsp; &nbsp;: angle of linear polarization (AoLP) (5 bands) [degrees]<br>GS &nbsp; : relative grain size (5 bands)<br>logGS: logarithm of relative grain size (5 bands)<br>UE &nbsp; : across-band Umov exponent (1 band)<br>UEres: residual of across-band Umov exponent (1 band)<br>PCAP : scores on the first three principal components derived from the DoLP (3 bands)&nbsp;<br>PCAW : scores on the first three principal components derived from the AoLP (3 bands)<br>CIM &nbsp;: cluster index map (1 band)</p> <p><br>The longitude ranges of the maps are as follows:</p> <p>WOP: Longitude=[-70 -35], Latitude=[2 33]<br>MV : Longitude=[-13 12], Latitude=[-2 17]<br>AT : Longitude=[35 60], Latitude=[40 55]</p> <p>All maps are in simple cylindrical projection with a resolution of 30 pixels per degree.</p> <p>The CIM maps are provided in uint8 numerical format.<br>All other maps are provided in single-precision (32-bit) floating point numerical format.<br>The BSQ files are in binary format without header. Matlab example:<br>BSQ=multibandread('20230302_AT_P__Latitude_35_60__Latitude_35_60.bsq',[750 750 5],'single',0,'bsq','ieee-le');</p> <p>&nbsp;</p>

ShareScore

44/100

Overall dataset sharing score

Score breakdown

These five areas show where the dataset supports — or may limit — practical reuse.

Stewardship
8
Harmonization
8
Access
16
Reuse readiness
8
Engagement
4