Metocean: Historical collections
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Dataset Title: | "LATEX CTD - d93e117.nc - 29.08N, 94.77W - 1993-05-03" |
Institution: | Texas A&M University, Department of Oceanography (Dataset ID: latex_d93e117) |
Information: | Summary | License | FGDC | ISO 19115 | Metadata | Background | Data Access Form | Files | Make a graph |
To view the map, check View : Map of All Related Data above.
WARNING: This may involve lots of data.
For some datasets, this may be slow.
Consider using this only when you need it and
have selected a small subset of the data.
To view the counts of distinct combinations of the variables listed above,
check View : Distinct Data Counts above and select a value for one of the variables above.
Distinct Data (Metadata) (Refine the data subset and/or download the data)
pressure | depth | temperature | potentialTemperature | conductivity | salinity | sigmat | descentRate | transmission | par | parv | fluorescence | backscattering |
---|---|---|---|---|---|---|---|---|---|---|---|---|
dBar | m | degree_C | degree_C | Siemens per meter | PSU | kg m-3 | meters per second | percent | umol m-2 s-1 | volts | volts | volts |
1.5 | 1.5 | 21.305400848388672 | 21.305200576782227 | 3.129499912261963 | 21.144699096679688 | 13.906100273132324 | 0.17299999296665192 | 2.496000051498413 | 0.09000000357627869 | 0.0 | 2.117000102996826 | -9.0 |
2.0 | 2.0 | 21.338300704956055 | 21.33799934387207 | 3.149199962615967 | 21.27549934387207 | 13.996600151062012 | 0.609000027179718 | 2.484999895095825 | 0.09000000357627869 | 0.0 | 2.11899995803833 | -9.0 |
2.5 | 2.5 | 21.386199951171875 | 21.385799407958984 | 3.1956000328063965 | 21.597299575805664 | 14.227700233459473 | 0.3889999985694885 | 2.490999937057495 | 0.09000000357627869 | 0.0 | 2.132999897003174 | -9.0 |
3.0 | 3.0 | 21.469600677490234 | 21.469100952148438 | 3.2916998863220215 | 22.271799087524414 | 14.716300010681152 | 0.28999999165534973 | 2.5439999103546143 | 0.09000000357627869 | 0.0 | 2.1500000953674316 | -9.0 |
3.5 | 3.5 | 21.521499633789062 | 21.52079963684082 | 3.4058001041412354 | 23.098600387573242 | 15.328200340270996 | 0.4699999988079071 | 2.677999973297119 | 0.09000000357627869 | 0.0 | 2.184000015258789 | -9.0 |
4.0 | 4.0 | 21.511999130249023 | 21.51129913330078 | 3.6851000785827637 | 25.210599899291992 | 16.928499221801758 | 0.628000020980835 | 2.759999990463257 | 0.09000000357627869 | 0.0 | 2.2269999980926514 | -9.0 |
4.5 | 4.5 | 21.41469955444336 | 21.41390037536621 | 3.810499906539917 | 26.221399307250977 | 17.71929931640625 | 0.625 | 2.802000045776367 | 0.09000000357627869 | 0.0 | 2.2790000438690186 | -9.0 |
5.0 | 5.0 | 21.39189910888672 | 21.390899658203125 | 3.8440001010894775 | 26.491300582885742 | 17.929800033569336 | 0.45100000500679016 | 3.174999952316284 | 0.09000000357627869 | 0.0 | 2.315999984741211 | -9.0 |
5.5 | 5.5 | 21.388700485229492 | 21.387699127197266 | 3.901700019836426 | 26.934900283813477 | 18.266700744628906 | 0.335999995470047 | 3.4230000972747803 | 0.09000000357627869 | 0.0 | 2.309000015258789 | -9.0 |
6.0 | 6.0 | 21.387300491333008 | 21.386199951171875 | 4.0833001136779785 | 28.333499908447266 | 19.32699966430664 | 0.4880000054836273 | 3.565999984741211 | 0.09000000357627869 | 0.0 | 2.305000066757202 | -9.0 |
6.5 | 6.5 | 21.281200408935547 | 21.27989959716797 | 4.26039981842041 | 29.77869987487793 | 20.451400756835938 | 0.527999997138977 | 3.4779999256134033 | 0.09000000357627869 | 0.0 | 2.265000104904175 | -9.0 |
7.0 | 7.0 | 21.250699996948242 | 21.249399185180664 | 4.293300151824951 | 30.056100845336914 | 20.67009925842285 | 0.5400000214576721 | 3.571000099182129 | 0.09000000357627869 | 0.0 | 2.2009999752044678 | -9.0 |
7.599999904632568 | 7.5 | 21.217899322509766 | 21.21649932861328 | 4.298600196838379 | 30.120500564575195 | 20.727699279785156 | 0.5450000166893005 | 3.4630000591278076 | 0.09000000357627869 | 0.0 | 2.132999897003174 | -9.0 |
8.100000381469727 | 8.0 | 21.182600021362305 | 21.181100845336914 | 4.30019998550415 | 30.157400131225586 | 20.765100479125977 | 0.48100000619888306 | 3.0759999752044678 | 0.09000000357627869 | 0.0 | 2.0769999027252197 | -9.0 |
8.600000381469727 | 8.5 | 21.17009925842285 | 21.168500900268555 | 4.303999900817871 | 30.195999145507812 | 20.79789924621582 | 0.41600000858306885 | 2.684000015258789 | 0.09000000357627869 | 0.0 | 2.0350000858306885 | -9.0 |
9.100000381469727 | 9.0 | 21.16659927368164 | 21.164899826049805 | 4.308499813079834 | 30.233600616455078 | 20.827299118041992 | 0.46700000762939453 | 2.4660000801086426 | 0.09000000357627869 | 0.0 | 1.996000051498413 | -9.0 |
9.600000381469727 | 9.5 | 21.165300369262695 | 21.16349983215332 | 4.311800003051758 | 30.259899139404297 | 20.847700119018555 | 0.5490000247955322 | 2.509999990463257 | 0.09000000357627869 | 0.0 | 1.9759999513626099 | -9.0 |
10.100000381469727 | 10.0 | 21.163799285888672 | 21.16189956665039 | 4.314700126647949 | 30.283899307250977 | 20.86639976501465 | 0.5879999995231628 | 2.552000045776367 | 0.09000000357627869 | 0.0 | 1.9850000143051147 | -9.0 |
10.600000381469727 | 10.5 | 21.16200065612793 | 21.15999984741211 | 4.315899848937988 | 30.29439926147461 | 20.874799728393555 | 0.5799999833106995 | 2.3519999980926514 | 0.09000000357627869 | 0.0 | 2.009000062942505 | -9.0 |
11.100000381469727 | 11.0 | 21.15999984741211 | 21.157899856567383 | 4.31850004196167 | 30.316099166870117 | 20.891799926757812 | 0.5149999856948853 | 2.296999931335449 | 0.09000000357627869 | 0.0 | 2.002000093460083 | -9.0 |
11.600000381469727 | 11.5 | 21.160400390625 | 21.158199310302734 | 4.319699764251709 | 30.324600219726562 | 20.8981990814209 | 0.4320000112056732 | 2.318000078201294 | 0.09000000357627869 | 0.0 | 2.005000114440918 | -9.0 |
12.100000381469727 | 12.0 | 21.158100128173828 | 21.155799865722656 | 4.323299884796143 | 30.35449981689453 | 20.921600341796875 | 0.4869999885559082 | 2.309000015258789 | 0.09000000357627869 | 0.0 | 1.9950000047683716 | -9.0 |
12.600000381469727 | 12.5 | 21.156200408935547 | 21.153799057006836 | 4.325099945068359 | 30.369800567626953 | 20.933700561523438 | 0.5770000219345093 | 2.25600004196167 | 0.09000000357627869 | 0.0 | 1.9930000305175781 | -9.0 |
13.100000381469727 | 13.0 | 21.15570068359375 | 21.153200149536133 | 4.325300216674805 | 30.3710994720459 | 20.934799194335938 | 0.5389999747276306 | 2.1510000228881836 | 0.09000000357627869 | 0.0 | 2.003000020980835 | -9.0 |
13.600000381469727 | 13.5 | 21.156299591064453 | 21.153799057006836 | 4.325500011444092 | 30.37220001220703 | 20.93560028076172 | 0.4480000138282776 | 2.0989999771118164 | 0.09000000357627869 | 0.0 | 1.9859999418258667 | -9.0 |
14.100000381469727 | 14.0 | 21.155399322509766 | 21.152799606323242 | 4.325699806213379 | 30.374500274658203 | 20.9375 | 0.4580000042915344 | 2.071000099182129 | 0.09000000357627869 | 0.0 | 1.9780000448226929 | -9.0 |
14.600000381469727 | 14.5 | 21.15559959411621 | 21.15290069580078 | 4.325900077819824 | 30.37540054321289 | 20.938199996948242 | 0.41200000047683716 | 2.0309998989105225 | 0.09000000357627869 | 0.0 | 1.9869999885559082 | -9.0 |
15.100000381469727 | 15.0 | 21.155500411987305 | 21.152599334716797 | 4.326399803161621 | 30.37929916381836 | 20.941200256347656 | 0.2329999953508377 | 2.055000066757202 | 0.09000000357627869 | 0.0 | 1.996000051498413 | -9.0 |
15.600000381469727 | 15.5 | 21.155500411987305 | 21.15250015258789 | 4.326700210571289 | 30.381500244140625 | 20.942899703979492 | 0.1720000058412552 | 2.0889999866485596 | 0.09000000357627869 | 0.0 | 1.9950000047683716 | -9.0 |
In total, there are 29 rows of distinct combinations of the variables listed above.
All of the rows are shown above.
To change the maximum number of rows displayed, change View : Distinct Data above.
To view the related data counts,
check View : Related Data Counts above and select a value for one of the variables above.
WARNING: This may involve lots of data.
For some datasets, this may be slow.
Consider using this only when you need it and
have selected a small subset of the data.
Related Data (Metadata) (Refine the data subset and/or download the data)
To view the related data, change View : Related Data above.
WARNING: This may involve lots of data. For some datasets, this may be slow. Consider using this only when you need it and have selected a small subset of the data.