Metocean: Historical collections
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Brought to you by NOAA NMFS SWFSC ERD |
Dataset Title: | "LATEX CTD - d92b119.nc - 29.53N, 93.0W - 1992-08-08" |
Institution: | Texas A&M University, Department of Oceanography (Dataset ID: latex_d92b119) |
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 | 29.94339942932129 | 29.94300079345703 | 4.941100120544434 | 29.07309913635254 | 17.311599731445312 | -0.01600000075995922 | 4.176000118255615 | 189.0 | 2.6579999923706055 | 0.4779999852180481 | -9.0 |
2.0 | 2.0 | 29.930700302124023 | 29.930200576782227 | 4.938600063323975 | 29.064199447631836 | 17.30929946899414 | 0.22699999809265137 | 4.172999858856201 | 163.0 | 2.5950000286102295 | 0.4740000069141388 | -9.0 |
2.5 | 2.5 | 29.947200775146484 | 29.946500778198242 | 4.953199863433838 | 29.150699615478516 | 17.368499755859375 | 0.22499999403953552 | 4.133999824523926 | 148.0 | 2.552999973297119 | 0.546999990940094 | -9.0 |
3.0 | 3.0 | 29.962900161743164 | 29.962200164794922 | 4.971199989318848 | 29.259300231933594 | 17.444400787353516 | 0.33000001311302185 | 4.111000061035156 | 128.0 | 2.490999937057495 | 0.5379999876022339 | -9.0 |
3.5 | 3.5 | 29.96430015563965 | 29.96339988708496 | 4.974899768829346 | 29.282499313354492 | 17.461299896240234 | 0.328000009059906 | 4.109000205993652 | 111.0 | 2.428999900817871 | 0.5410000085830688 | -9.0 |
4.0 | 4.0 | 29.962299346923828 | 29.961299896240234 | 4.975399971008301 | 29.28689956665039 | 17.465299606323242 | 0.25 | 4.109000205993652 | 98.30000305175781 | 2.375 | 0.531000018119812 | -9.0 |
4.5 | 4.5 | 29.96470069885254 | 29.963600158691406 | 4.993500232696533 | 29.404499053955078 | 17.552499771118164 | 0.2759999930858612 | 4.085000038146973 | 86.80000305175781 | 2.321000099182129 | 0.5889999866485596 | -9.0 |
5.0 | 5.0 | 29.9773006439209 | 29.97610092163086 | 5.024799823760986 | 29.603599548339844 | 17.697099685668945 | 0.2809999883174896 | 4.050000190734863 | 75.9000015258789 | 2.263000011444092 | 0.656000018119812 | -9.0 |
5.5 | 5.5 | 30.001300811767578 | 29.999900817871094 | 5.079100131988525 | 29.9468994140625 | 17.94569969177246 | 0.2409999966621399 | 4.006999969482422 | 68.30000305175781 | 2.2170000076293945 | 0.7519999742507935 | -9.0 |
6.0 | 6.0 | 29.973899841308594 | 29.97249984741211 | 5.121500015258789 | 30.243999481201172 | 18.177000045776367 | 0.26600000262260437 | 3.865999937057495 | 54.599998474121094 | 2.119999885559082 | 0.8939999938011169 | -9.0 |
6.5 | 6.5 | 29.947999954223633 | 29.946300506591797 | 5.180699825286865 | 30.652099609375 | 18.490999221801758 | 0.24500000476837158 | 3.8469998836517334 | 53.599998474121094 | 2.111999988555908 | 0.9440000057220459 | -9.0 |
7.0 | 7.0 | 30.03580093383789 | 30.034000396728516 | 5.274400234222412 | 31.217300415039062 | 18.884199142456055 | 0.2809999883174896 | 3.7330000400543213 | 47.599998474121094 | 2.059999942779541 | 0.972000002861023 | -9.0 |
7.599999904632568 | 7.5 | 30.206199645996094 | 30.20439910888672 | 5.38040018081665 | 31.81049919128418 | 19.27039909362793 | 0.2199999988079071 | 3.677999973297119 | 41.900001525878906 | 2.005000114440918 | 1.3559999465942383 | -9.0 |
8.100000381469727 | 8.0 | 30.26449966430664 | 30.262500762939453 | 5.4380998611450195 | 32.15510177612305 | 19.508499145507812 | 0.21699999272823334 | 3.506999969482422 | 37.400001525878906 | 1.9550000429153442 | 1.6979999542236328 | -9.0 |
8.600000381469727 | 8.5 | 30.20549964904785 | 30.203399658203125 | 5.462600231170654 | 32.35710144042969 | 19.67970085144043 | 0.12999999523162842 | 3.4579999446868896 | 33.400001525878906 | 1.906000018119812 | 2.0369999408721924 | -9.0 |
9.100000381469727 | 9.0 | 30.117300033569336 | 30.115100860595703 | 5.460899829864502 | 32.40409851074219 | 19.74489974975586 | 0.07900000363588333 | 3.433000087738037 | 29.100000381469727 | 1.8459999561309814 | 2.0350000858306885 | -9.0 |
9.600000381469727 | 9.5 | 30.02120018005371 | 30.018800735473633 | 5.454100131988525 | 32.42279815673828 | 19.791500091552734 | 0.1379999965429306 | 3.2309999465942383 | 25.5 | 1.7890000343322754 | 2.571000099182129 | -9.0 |
10.100000381469727 | 10.0 | 29.9468994140625 | 29.944400787353516 | 5.4471001625061035 | 32.42530059814453 | 19.818599700927734 | 0.13300000131130219 | 2.809999942779541 | 22.200000762939453 | 1.7280000448226929 | 4.7230000495910645 | -9.0 |
10.600000381469727 | 10.5 | 29.882299423217773 | 29.87969970703125 | 5.442800045013428 | 32.43980026245117 | 19.851299285888672 | 0.09399999678134918 | 2.13100004196167 | 19.0 | 1.6619999408721924 | 4.947999954223633 | -9.0 |
In total, there are 19 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.