/BCO-DMO/Metabolic_Index/ecopuck_2017 --deployment_id eq 20170129_061509-- 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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20170129_061509
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temp_counts timestamp chl turb_counts chl_counts turb datestring ISO_DateTime_UTC lat lon
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528.000000 1485670510371354.000000 0.036000 239.000000 46.000000 0.000319 2017-01-29 06:15:10.371 2017-01-29T06:15:10.371000Z nd nd
528.000000 1485670511444596.000000 0.043200 239.000000 47.000000 0.000319 2017-01-29 06:15:11.445 2017-01-29T06:15:11.445000Z nd nd
528.000000 1485670512497818.000000 0.036000 240.000000 46.000000 0.000320 2017-01-29 06:15:12.498 2017-01-29T06:15:12.498000Z nd nd
528.000000 1485670513579331.000000 0.036000 241.000000 46.000000 0.000322 2017-01-29 06:15:13.579 2017-01-29T06:15:13.579000Z nd nd
528.000000 1485670514687516.000000 0.036000 243.000000 46.000000 0.000325 2017-01-29 06:15:14.688 2017-01-29T06:15:14.688000Z nd nd
528.000000 1485670515690873.000000 0.036000 242.000000 46.000000 0.000324 2017-01-29 06:15:15.691 2017-01-29T06:15:15.691000Z nd nd
528.000000 1485670516799943.000000 0.036000 241.000000 46.000000 0.000322 2017-01-29 06:15:16.800 2017-01-29T06:15:16.800000Z nd nd
528.000000 1485670517860245.000000 0.028800 243.000000 45.000000 0.000325 2017-01-29 06:15:17.860 2017-01-29T06:15:17.860000Z nd nd
528.000000 1485670518887955.000000 0.036000 242.000000 46.000000 0.000324 2017-01-29 06:15:18.888 2017-01-29T06:15:18.888000Z nd nd
529.000000 1485670519988785.000000 0.028800 245.000000 45.000000 0.000329 2017-01-29 06:15:19.989 2017-01-29T06:15:19.989000Z nd nd
529.000000 1485670521074875.000000 0.036000 241.000000 46.000000 0.000322 2017-01-29 06:15:21.075 2017-01-29T06:15:21.075000Z nd nd
528.000000 1485670522132462.000000 0.036000 239.000000 46.000000 0.000319 2017-01-29 06:15:22.132 2017-01-29T06:15:22.132000Z nd nd
528.000000 1485670523166337.000000 0.036000 237.000000 46.000000 0.000316 2017-01-29 06:15:23.166 2017-01-29T06:15:23.166000Z nd nd
528.000000 1485670524250077.000000 0.028800 242.000000 45.000000 0.000324 2017-01-29 06:15:24.250 2017-01-29T06:15:24.250000Z nd nd
528.000000 1485670525271531.000000 0.028800 241.000000 45.000000 0.000322 2017-01-29 06:15:25.271 2017-01-29T06:15:25.271000Z nd nd
528.000000 1485670526357895.000000 0.036000 241.000000 46.000000 0.000322 2017-01-29 06:15:26.358 2017-01-29T06:15:26.358000Z nd nd
529.000000 1485670527381547.000000 0.036000 244.000000 46.000000 0.000327 2017-01-29 06:15:27.382 2017-01-29T06:15:27.382000Z nd nd
528.000000 1485670528486100.000000 0.036000 240.000000 46.000000 0.000320 2017-01-29 06:15:28.486 2017-01-29T06:15:28.486000Z nd nd
528.000000 1485670529548630.000000 0.028800 242.000000 45.000000 0.000324 2017-01-29 06:15:29.549 2017-01-29T06:15:29.549000Z nd nd
528.000000 1485670530620591.000000 0.036000 244.000000 46.000000 0.000327 2017-01-29 06:15:30.621 2017-01-29T06:15:30.621000Z nd nd
[ ... truncating listing here]
Full data listing