/BCO-DMO/Metabolic_Index/ecopuck_2017 --deployment_id eq 20170203_054659-- Level 1
# 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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20170203_054659
=========================
temp_counts timestamp chl turb_counts chl_counts turb datestring ISO_DateTime_UTC lat lon
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527.000000 1486100819964771.000000 0.028800 1840.000000 45.000000 0.002936 2017-02-03 05:46:59.965 2017-02-03T05:46:59.965000Z nd nd
527.000000 1486100821049366.000000 0.021600 1837.000000 44.000000 0.002932 2017-02-03 05:47:01.049 2017-02-03T05:47:01.049000Z nd nd
527.000000 1486100822095997.000000 0.028800 1836.000000 45.000000 0.002930 2017-02-03 05:47:02.096 2017-02-03T05:47:02.096000Z nd nd
527.000000 1486100823167652.000000 0.014400 1836.000000 43.000000 0.002930 2017-02-03 05:47:03.168 2017-02-03T05:47:03.168000Z nd nd
526.000000 1486100824273640.000000 0.028800 1837.000000 45.000000 0.002932 2017-02-03 05:47:04.274 2017-02-03T05:47:04.274000Z nd nd
526.000000 1486100825296711.000000 0.036000 1838.000000 46.000000 0.002933 2017-02-03 05:47:05.297 2017-02-03T05:47:05.297000Z nd nd
527.000000 1486100826366108.000000 0.014400 1839.000000 43.000000 0.002935 2017-02-03 05:47:06.366 2017-02-03T05:47:06.366000Z nd nd
527.000000 1486100827445087.000000 0.021600 1837.000000 44.000000 0.002932 2017-02-03 05:47:07.445 2017-02-03T05:47:07.445000Z nd nd
527.000000 1486100828483082.000000 0.028800 1836.000000 45.000000 0.002930 2017-02-03 05:47:08.483 2017-02-03T05:47:08.483000Z nd nd
526.000000 1486100829541981.000000 0.021600 1834.000000 44.000000 0.002927 2017-02-03 05:47:09.542 2017-02-03T05:47:09.542000Z nd nd
527.000000 1486100830707478.000000 0.014400 1834.000000 43.000000 0.002927 2017-02-03 05:47:10.708 2017-02-03T05:47:10.708000Z nd nd
527.000000 1486100831670643.000000 0.028800 1834.000000 45.000000 0.002927 2017-02-03 05:47:11.671 2017-02-03T05:47:11.671000Z nd nd
527.000000 1486100832770466.000000 0.036000 1835.000000 46.000000 0.002928 2017-02-03 05:47:12.770 2017-02-03T05:47:12.770000Z nd nd
527.000000 1486100833828083.000000 0.021600 1834.000000 44.000000 0.002927 2017-02-03 05:47:13.828 2017-02-03T05:47:13.828000Z nd nd
527.000000 1486100834881794.000000 0.028800 1834.000000 45.000000 0.002927 2017-02-03 05:47:14.882 2017-02-03T05:47:14.882000Z nd nd
526.000000 1486100835966511.000000 0.028800 1834.000000 45.000000 0.002927 2017-02-03 05:47:15.966 2017-02-03T05:47:15.966000Z nd nd
527.000000 1486100836991535.000000 0.014400 1834.000000 43.000000 0.002927 2017-02-03 05:47:16.991 2017-02-03T05:47:16.991000Z nd nd
526.000000 1486100838069447.000000 0.028800 1833.000000 45.000000 0.002925 2017-02-03 05:47:18.070 2017-02-03T05:47:18.070000Z nd nd
527.000000 1486100839180592.000000 0.028800 1834.000000 45.000000 0.002927 2017-02-03 05:47:19.181 2017-02-03T05:47:19.181000Z nd nd
527.000000 1486100840192097.000000 0.021600 1834.000000 44.000000 0.002927 2017-02-03 05:47:20.192 2017-02-03T05:47:20.192000Z nd nd
[ ... truncating listing here]
Full data listing