# 2017 Wire Flyer ECOpuck Fluorometer data
# R/V Sikuliaq SKQ201701S
# PI: Chris Roman
# Version date (v1): 2022-05 may barning: This is a large dataset thatur broe slow to load in your browser.
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deployment_id
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20170211_194827
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temp_counts timestamp chl turb_counts chl_counts turb datestring ISO_DateTime_UTC lat lon
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515.000000 1486842507339544.000000 0.028800 49.000000 45.000000 0.000008 2017-02-11 19:48:27.339 2017-02-11T19:48:27.339000Z nd nd
516.000000 1486842508415990.000000 0.007200 47.000000 42.000000 0.000005 2017-02-11 19:48:28.416 2017-02-11T19:48:28.416000Z nd nd
515.000000 1486842509487066.000000 0.000000 48.000000 41.000000 0.000007 2017-02-11 19:48:29.487 2017-02-11T19:48:29.487000Z nd nd
516.000000 1486842510543096.000000 0.014400 44.000000 43.000000 0.000000 2017-02-11 19:48:30.543 2017-02-11T19:48:30.543000Z nd nd
515.000000 1486842511644903.000000 0.000000 48.000000 41.000000 0.000007 2017-02-11 19:48:31.645 2017-02-11T19:48:31.645000Z nd nd
515.000000 1486842512728155.000000 0.050400 49.000000 48.000000 0.000008 2017-02-11 19:48:32.728 2017-02-11T19:48:32.728000Z nd nd
515.000000 1486842513730352.000000 0.036000 45.000000 46.000000 0.000002 2017-02-11 19:48:33.730 2017-02-11T19:48:33.730000Z nd nd
516.000000 1486842514873327.000000 0.007200 49.000000 42.000000 0.000008 2017-02-11 19:48:34.873 2017-02-11T19:48:34.873000Z nd nd
516.000000 1486842515883001.000000 0.028800 42.000000 45.000000 -0.000003 2017-02-11 19:48:35.883 2017-02-11T19:48:35.883000Z nd nd
516.000000 1486842516899694.000000 0.050400 51.000000 48.000000 0.000011 2017-02-11 19:48:36.900 2017-02-11T19:48:36.900000Z nd nd
515.000000 1486842517980352.000000 0.014400 47.000000 43.000000 0.000005 2017-02-11 19:48:37.980 2017-02-11T19:48:37.980000Z nd nd
515.000000 1486842519028234.000000 0.014400 46.000000 43.000000 0.000003 2017-02-11 19:48:39.028 2017-02-11T19:48:39.028000Z nd nd
515.000000 1486842520129308.000000 0.036000 49.000000 46.000000 0.000008 2017-02-11 19:48:40.129 2017-02-11T19:48:40.129000Z nd nd
515.000000 1486842521167089.000000 0.007200 48.000000 42.000000 0.000007 2017-02-11 19:48:41.167 2017-02-11T19:48:41.167000Z nd nd
516.000000 1486842522216100.000000 0.036000 48.000000 46.000000 0.000007 2017-02-11 19:48:42.216 2017-02-11T19:48:42.216000Z nd nd
516.000000 1486842523332830.000000 0.007200 50.000000 42.000000 0.000010 2017-02-11 19:48:43.333 2017-02-11T19:48:43.333000Z nd nd
515.000000 1486842524336431.000000 0.043200 50.000000 47.000000 0.000010 2017-02-11 19:48:44.336 2017-02-11T19:48:44.336000Z nd nd
515.000000 1486842525400518.000000 0.028800 47.000000 45.000000 0.000005 2017-02-11 19:48:45.401 2017-02-11T19:48:45.401000Z nd nd
516.000000 1486842526521246.000000 0.014400 47.000000 43.000000 0.000005 2017-02-11 19:48:46.521 2017-02-11T19:48:46.521000Z nd nd
516.000000 1486842527532110.000000 0.028800 47.000000 45.000000 0.000005 2017-02-11 19:48:47.532 2017-02-11T19:48:47.532000Z nd nd
[ ... truncating listing here]
Full data listing