# 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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20170204_055751
=========================
temp_counts timestamp chl turb_counts chl_counts turb datestring ISO_DateTime_UTC lat lon
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526.000000 1486187871886515.000000 0.021600 48.000000 44.000000 0.000007 2017-02-04 05:57:51.887 2017-02-04T05:57:51.887000Z nd nd
526.000000 1486187872980659.000000 0.014400 47.000000 43.000000 0.000005 2017-02-04 05:57:52.981 2017-02-04T05:57:52.981000Z nd nd
527.000000 1486187873985556.000000 0.014400 44.000000 43.000000 0.000000 2017-02-04 05:57:53.986 2017-02-04T05:57:53.986000Z nd nd
527.000000 1486187875077013.000000 0.028800 46.000000 45.000000 0.000003 2017-02-04 05:57:55.077 2017-02-04T05:57:55.077000Z nd nd
526.000000 1486187876126793.000000 0.036000 47.000000 46.000000 0.000005 2017-02-04 05:57:56.127 2017-02-04T05:57:56.127000Z nd nd
526.000000 1486187877202862.000000 0.028800 48.000000 45.000000 0.000007 2017-02-04 05:57:57.203 2017-02-04T05:57:57.203000Z nd nd
526.000000 1486187878238475.000000 0.021600 48.000000 44.000000 0.000007 2017-02-04 05:57:58.238 2017-02-04T05:57:58.238000Z nd nd
527.000000 1486187879329932.000000 0.036000 45.000000 46.000000 0.000002 2017-02-04 05:57:59.330 2017-02-04T05:57:59.330000Z nd nd
526.000000 1486187880419222.000000 0.036000 47.000000 46.000000 0.000005 2017-02-04 05:58:00.419 2017-02-04T05:58:00.419000Z nd nd
527.000000 1486187881426866.000000 0.014400 47.000000 43.000000 0.000005 2017-02-04 05:58:01.427 2017-02-04T05:58:01.427000Z nd nd
526.000000 1486187882503393.000000 0.028800 47.000000 45.000000 0.000005 2017-02-04 05:58:02.503 2017-02-04T05:58:02.503000Z nd nd
526.000000 1486187883581385.000000 0.036000 46.000000 46.000000 0.000003 2017-02-04 05:58:03.581 2017-02-04T05:58:03.581000Z nd nd
526.000000 1486187884616113.000000 0.021600 46.000000 44.000000 0.000003 2017-02-04 05:58:04.616 2017-02-04T05:58:04.616000Z nd nd
526.000000 1486187885706532.000000 0.028800 46.000000 45.000000 0.000003 2017-02-04 05:58:05.707 2017-02-04T05:58:05.707000Z nd nd
526.000000 1486187886777013.000000 0.014400 47.000000 43.000000 0.000005 2017-02-04 05:58:06.777 2017-02-04T05:58:06.777000Z nd nd
526.000000 1486187887831434.000000 0.043200 47.000000 47.000000 0.000005 2017-02-04 05:58:07.831 2017-02-04T05:58:07.831000Z nd nd
526.000000 1486187888901916.000000 0.028800 50.000000 45.000000 0.000010 2017-02-04 05:58:08.902 2017-02-04T05:58:08.902000Z nd nd
526.000000 1486187889958749.000000 0.028800 47.000000 45.000000 0.000005 2017-02-04 05:58:09.959 2017-02-04T05:58:09.959000Z nd nd
526.000000 1486187891031978.000000 0.021600 47.000000 44.000000 0.000005 2017-02-04 05:58:11.032 2017-02-04T05:58:11.032000Z nd nd
526.000000 1486187892090185.000000 0.028800 47.000000 45.000000 0.000005 2017-02-04 05:58:12.090 2017-02-04T05:58:12.090000Z nd nd
[ ... truncating listing here]
Full data listing