/BCO-DMO/Metabolic_Index/ecopuck_2017 --deployment_id eq 20170126_152032-- 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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20170126_152032
=========================
temp_counts timestamp chl turb_counts chl_counts turb datestring ISO_DateTime_UTC lat lon
-------------------------
529.000000 1485444032830913.000000 0.050400 339.000000 48.000000 21.588300 2017-01-26 15:20:32.831 2017-01-26T15:20:32.831000Z nd nd
529.000000 1485444033875713.000000 -0.014400 341.000000 39.000000 21.737700 2017-01-26 15:20:33.876 2017-01-26T15:20:33.876000Z nd nd
529.000000 1485444034945873.000000 0.057600 340.000000 49.000000 21.663000 2017-01-26 15:20:34.946 2017-01-26T15:20:34.946000Z nd nd
529.000000 1485444035999675.000000 0.000000 344.000000 41.000000 21.961800 2017-01-26 15:20:36.000 2017-01-26T15:20:36.000000Z nd nd
529.000000 1485444037086772.000000 0.007200 340.000000 42.000000 21.663000 2017-01-26 15:20:37.087 2017-01-26T15:20:37.087000Z nd nd
529.000000 1485444038142345.000000 0.036000 336.000000 46.000000 21.364200 2017-01-26 15:20:38.142 2017-01-26T15:20:38.142000Z nd nd
529.000000 1485444039209636.000000 0.007200 338.000000 42.000000 21.513600 2017-01-26 15:20:39.210 2017-01-26T15:20:39.210000Z nd nd
529.000000 1485444040287761.000000 0.072000 340.000000 51.000000 21.663000 2017-01-26 15:20:40.288 2017-01-26T15:20:40.288000Z nd nd
529.000000 1485444041353008.000000 0.036000 352.000000 46.000000 22.559400 2017-01-26 15:20:41.353 2017-01-26T15:20:41.353000Z nd nd
529.000000 1485444042398937.000000 0.014400 349.000000 43.000000 22.335300 2017-01-26 15:20:42.399 2017-01-26T15:20:42.399000Z nd nd
529.000000 1485444043510967.000000 0.057600 344.000000 49.000000 21.961800 2017-01-26 15:20:43.511 2017-01-26T15:20:43.511000Z nd nd
529.000000 1485444044517559.000000 0.057600 341.000000 49.000000 21.737700 2017-01-26 15:20:44.518 2017-01-26T15:20:44.518000Z nd nd
529.000000 1485444045572612.000000 0.028800 339.000000 45.000000 21.588300 2017-01-26 15:20:45.573 2017-01-26T15:20:45.573000Z 21.394798 -117.576231
529.000000 1485444046697826.000000 0.050400 340.000000 48.000000 21.663000 2017-01-26 15:20:46.698 2017-01-26T15:20:46.698000Z 21.394811 -117.576231
529.000000 1485444047748302.000000 0.007200 340.000000 42.000000 21.663000 2017-01-26 15:20:47.748 2017-01-26T15:20:47.748000Z 21.394826 -117.576231
529.000000 1485444048834148.000000 0.014400 341.000000 43.000000 21.737700 2017-01-26 15:20:48.834 2017-01-26T15:20:48.834000Z 21.394841 -117.576232
529.000000 1485444049905498.000000 0.036000 353.000000 46.000000 22.634100 2017-01-26 15:20:49.906 2017-01-26T15:20:49.906000Z 21.394855 -117.576233
529.000000 1485444050944316.000000 -0.007200 349.000000 40.000000 22.335300 2017-01-26 15:20:50.944 2017-01-26T15:20:50.944000Z 21.394867 -117.576232
529.000000 1485444052005168.000000 0.014400 344.000000 43.000000 21.961800 2017-01-26 15:20:52.005 2017-01-26T15:20:52.005000Z 21.394877 -117.576231
529.000000 1485444053016216.000000 0.064800 346.000000 50.000000 22.111200 2017-01-26 15:20:53.016 2017-01-26T15:20:53.016000Z 21.394885 -117.576229
[ ... truncating listing here]
Full data listing