Published May 24, 2020
| Version 1.1
Dataset
Open
Black Swift Technologies S1 Unmanned Aircraft System Observations from LAPSE-RATE
Description
This dataset contains meteorological data collected by Black Swift Technologies' S1 unmanned aircraft system during the 2018 LAPSE-RATE (Lower Atmospheric Profiling Studies at Elevation - a Remotely-piloted Aircraft Team Experiment) field campaign. Questions about the dataset should be addressed to Jack Elston (elstonj@bst.aero).
Files
Files
(584.4 MB)
Name | Size | Download all |
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md5:33b4e3e4f1e4f475881b75aba4460c4e
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28.8 MB | Download |
md5:8274093aba332039acdb83220dca4967
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12.1 MB | Download |
md5:e74090a6c22969b421f09c95e62919de
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10.6 MB | Download |
md5:013a8c6217e3d1eb856007dd5ace100b
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11.4 MB | Download |
md5:77e5255b2d36dde0bcff00fb42df2f12
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12.8 MB | Download |
md5:d4e59046b7d5802c5ab4569250115a79
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3.2 MB | Download |
md5:864611d87f6104389861c38a13440fe9
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11.1 MB | Download |
md5:94c51414431bd11334128b82b2ceeee0
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14.7 MB | Download |
md5:48dd7092098a4449415c8f132dad4a1f
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11.5 MB | Download |
md5:089d9bca233a4bc0242aee8aa40f8ec3
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12.5 MB | Download |
md5:97349c0c7a1830769ebad60a6cd7c4fe
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11.3 MB | Download |
md5:1e201f17a1331d18a89128494550b666
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9.9 MB | Download |
md5:eec64bdff9197333fbe6b4fae2c49703
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10.3 MB | Download |
md5:6b14de02612cd139acf287d6973d0f50
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2.3 MB | Download |
md5:7d721f012551dfe6486dc5619aef3f2a
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6.9 MB | Download |
md5:47c28fe16ccf916cde3f02b2bc93ddf8
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9.9 MB | Download |
md5:7d3ac81817747a7060b378ed021093ac
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10.2 MB | Download |
md5:e3fbc8d8f3acba308846491a4aada5e6
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10.4 MB | Download |
md5:9cd4a9e7b2caaa2400571a555d9d2156
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9.8 MB | Download |
md5:eea17d9ff3d42d480b9c47427116b4fc
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10.8 MB | Download |
md5:c3112dd947ed76297705c3550b5d22c1
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11.2 MB | Download |
md5:1c39278add5086da51db44667c262722
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11.2 MB | Download |
md5:299e9a2976456d6e3c5b7c889f8ab123
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9.7 MB | Download |
md5:07af6087a65bcfc2fe7431824feb36dc
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11.6 MB | Download |
md5:395cdef11f127abcecf652383b2ebc19
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10.6 MB | Download |
md5:d6e46f0d313c9b5e288209e442aff099
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12.3 MB | Download |
md5:58c692773f011b59eee1c9a74b085c61
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11.8 MB | Download |
md5:1bc323327534c1e5e7f67836ddda7fbf
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32.8 MB | Download |
md5:656492046a2355157d9f2db4ac32a285
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46.3 MB | Download |
md5:1cced7d7e2e79b4a5405f788258bf55c
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10.0 MB | Download |
md5:9b263ef3205cbb2e544a6b236d6dc553
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13.2 MB | Download |
md5:975c2a97647a87e2d5acb5a13d0ce76c
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13.1 MB | Download |
md5:298f7059b467422ac63be8c416dd4a78
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12.8 MB | Download |
md5:19daa6d2b0b2d25deb42792ff6c668fa
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13.4 MB | Download |
md5:ba30643e853165b06cd237dd98c88a92
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12.7 MB | Download |
md5:b08cdf484e89b01320b3cacf0fa8bd71
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13.1 MB | Download |
md5:fe1c605a55badefd94c901af9e05184a
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16.9 MB | Download |
md5:4adb3161265b71ecb2c1f385072044e1
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8.8 MB | Download |
md5:76c2bb1fe47438a569e2228ddf8fff45
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9.3 MB | Download |
md5:997054c122bb0770539225629d38c65a
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39.6 MB | Download |
md5:1376d0f5c1df94c23ef74f8b1207270e
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28.6 MB | Download |
md5:379afbee8ddecae3f6f355e1c248323b
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15.0 MB | Download |
Additional details
Related works
- Is documented by
- Journal article: 10.1175/BAMS-D-19-0050.1 (DOI)