Metocean: Historical collections
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Brought to you by NOAA NMFS SWFSC ERD |
Dataset Title: | "LATEX CTD - d93d113.nc - 28.96N, 93.0W - 1993-02-12" |
Institution: | Texas A&M University, Department of Oceanography (Dataset ID: latex_d93d113) |
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 |
2.0 | 2.0 | 15.776399612426758 | 15.776100158691406 | 3.2906999588012695 | 25.544200897216797 | 18.53689956665039 | -0.05700000002980232 | 2.9839999675750732 | 158.0 | 3.2300000190734863 | 3.178999900817871 | -9.0 |
2.5 | 2.5 | 15.77340030670166 | 15.77299976348877 | 3.3385000228881836 | 25.95639991760254 | 18.853500366210938 | 0.24899999797344208 | 2.98799991607666 | 132.0 | 3.1510000228881836 | 3.068000078201294 | -9.0 |
3.0 | 3.0 | 15.773599624633789 | 15.773200035095215 | 3.352099895477295 | 26.072799682617188 | 18.942699432373047 | 0.48899999260902405 | 2.990000009536743 | 57.79999923706055 | 2.7920000553131104 | 3.114000082015991 | -9.0 |
3.5 | 3.5 | 15.773799896240234 | 15.773300170898438 | 3.3570001125335693 | 26.115100860595703 | 18.975099563598633 | 0.3050000071525574 | 2.990999937057495 | 50.5 | 2.7330000400543213 | 3.1740000247955322 | -9.0 |
4.0 | 4.0 | 15.77400016784668 | 15.77340030670166 | 3.358799934387207 | 26.1299991607666 | 18.986499786376953 | 0.6880000233650208 | 2.986999988555908 | 37.0 | 2.5980000495910645 | 3.1570000648498535 | -9.0 |
4.5 | 4.5 | 15.7746000289917 | 15.773900032043457 | 3.3592000007629395 | 26.132699966430664 | 18.988500595092773 | 0.75 | 2.9860000610351562 | 29.700000762939453 | 2.503000020980835 | 3.1700000762939453 | -9.0 |
5.0 | 5.0 | 15.777000427246094 | 15.776300430297852 | 3.3594000339508057 | 26.13290023803711 | 18.988100051879883 | 0.48100000619888306 | 2.984999895095825 | 25.200000762939453 | 2.430999994277954 | 3.3410000801086426 | -9.0 |
5.5 | 5.5 | 15.775699615478516 | 15.774900436401367 | 3.3594000339508057 | 26.133699417114258 | 18.98889923095703 | 0.4169999957084656 | 2.98799991607666 | 21.299999237060547 | 2.3589999675750732 | 3.572999954223633 | -9.0 |
6.0 | 6.0 | 15.771100044250488 | 15.7701997756958 | 3.359800100326538 | 26.139999389648438 | 18.994699478149414 | 0.796999990940094 | 2.9860000610351562 | 16.100000381469727 | 2.2360000610351562 | 3.436000108718872 | -9.0 |
6.5 | 6.5 | 15.756199836730957 | 15.75529956817627 | 3.359800100326538 | 26.149499893188477 | 19.005199432373047 | 0.843999981880188 | 2.989000082015991 | 14.0 | 2.1760001182556152 | 3.7269999980926514 | -9.0 |
7.0 | 7.0 | 15.741000175476074 | 15.739999771118164 | 3.3596999645233154 | 26.15850067138672 | 19.015300750732422 | 0.6840000152587891 | 2.9830000400543213 | 12.800000190734863 | 2.138000011444092 | 3.9809999465942383 | -9.0 |
7.599999904632568 | 7.5 | 15.790200233459473 | 15.78909969329834 | 3.360100030899048 | 26.12969970703125 | 18.982799530029297 | 0.3100000023841858 | 2.9830000400543213 | 11.5 | 2.0889999866485596 | 4.046000003814697 | -9.0 |
8.100000381469727 | 8.0 | 15.855199813842773 | 15.854000091552734 | 3.364799976348877 | 26.12700080871582 | 18.966899871826172 | 0.546999990940094 | 2.997999906539917 | 10.100000381469727 | 2.0329999923706055 | 4.078000068664551 | -9.0 |
8.600000381469727 | 8.5 | 16.53019905090332 | 16.528900146484375 | 3.4667000770568848 | 26.550899505615234 | 19.146400451660156 | 0.6340000033378601 | 3.056999921798706 | 8.59000015258789 | 1.9639999866485596 | 3.875 | -9.0 |
9.100000381469727 | 9.0 | 17.205299377441406 | 17.203899383544922 | 3.56850004196167 | 26.961299896240234 | 19.310300827026367 | 0.6549999713897705 | 2.757999897003174 | 7.480000019073486 | 1.9040000438690186 | 3.36299991607666 | -9.0 |
9.600000381469727 | 9.5 | 17.880300521850586 | 17.878799438476562 | 3.6703999042510986 | 27.358600616455078 | 19.458900451660156 | 0.5950000286102295 | 2.7320001125335693 | 7.179999828338623 | 1.8860000371932983 | 2.621999979019165 | -9.0 |
10.100000381469727 | 10.0 | 17.979000091552734 | 17.9773006439209 | 3.9193999767303467 | 29.35770034790039 | 20.962299346923828 | 0.35600000619888306 | 2.7039999961853027 | 7.360000133514404 | 1.8969999551773071 | 1.284000039100647 | -9.0 |
10.600000381469727 | 10.5 | 18.00830078125 | 18.006500244140625 | 4.063899993896484 | 30.542800903320312 | 21.86079978942871 | 0.257999986410141 | 3.122999906539917 | 7.179999828338623 | 1.8860000371932983 | 0.8830000162124634 | -9.0 |
11.100000381469727 | 11.0 | 18.06100082397461 | 18.059200286865234 | 4.149600028991699 | 31.221399307250977 | 22.366899490356445 | 0.5540000200271606 | 4.077000141143799 | 6.820000171661377 | 1.8639999628067017 | 0.9850000143051147 | -9.0 |
11.600000381469727 | 11.5 | 18.10449981689453 | 18.10260009765625 | 4.18179988861084 | 31.45840072631836 | 22.537599563598633 | 0.6000000238418579 | 4.271999835968018 | 6.929999828338623 | 1.871000051498413 | 0.8040000200271606 | -9.0 |
12.100000381469727 | 12.0 | 18.126100540161133 | 18.124099731445312 | 4.188399791717529 | 31.49720001220703 | 22.56209945678711 | 0.4350000023841858 | 4.323999881744385 | 7.599999904632568 | 1.9110000133514404 | 0.5529999732971191 | -9.0 |
12.600000381469727 | 12.5 | 18.149900436401367 | 18.14780044555664 | 4.236100196838379 | 31.878999710083008 | 22.848100662231445 | 0.3529999852180481 | 4.383999824523926 | 7.639999866485596 | 1.9129999876022339 | 0.4050000011920929 | -9.0 |
13.100000381469727 | 13.0 | 18.182100296020508 | 18.179899215698242 | 4.27869987487793 | 32.21120071411133 | 23.09440040588379 | 0.5059999823570251 | 4.409999847412109 | 7.059999942779541 | 1.878999948501587 | 0.34599998593330383 | -9.0 |
13.600000381469727 | 13.5 | 18.22319984436035 | 18.22089958190918 | 4.305600166320801 | 32.40510177612305 | 23.232500076293945 | 0.48100000619888306 | 4.413000106811523 | 6.349999904632568 | 1.8329999446868896 | 0.3959999978542328 | -9.0 |
14.100000381469727 | 14.0 | 18.34760093688965 | 18.345199584960938 | 4.317699909210205 | 32.40829849243164 | 23.204599380493164 | 0.30000001192092896 | 4.416999816894531 | 6.010000228881836 | 1.809000015258789 | 0.3449999988079071 | -9.0 |
14.600000381469727 | 14.5 | 18.49679946899414 | 18.494300842285156 | 4.325699806213379 | 32.357601165771484 | 23.128999710083008 | 0.382999986410141 | 4.395999908447266 | 6.670000076293945 | 1.8539999723434448 | 0.33799999952316284 | -9.0 |
15.100000381469727 | 15.0 | 18.570600509643555 | 18.56800079345703 | 4.35260009765625 | 32.52410125732422 | 23.238000869750977 | 0.6019999980926514 | 4.363999843597412 | 6.119999885559082 | 1.8170000314712524 | 0.3779999911785126 | -9.0 |
15.600000381469727 | 15.5 | 18.640600204467773 | 18.63789939880371 | 4.388800144195557 | 32.77080154418945 | 23.40920066833496 | 0.6779999732971191 | 4.317999839782715 | 5.510000228881836 | 1.7710000276565552 | 0.5899999737739563 | -9.0 |
16.100000381469727 | 16.0 | 18.668399810791016 | 18.665599822998047 | 4.430799961090088 | 33.09920120239258 | 23.65329933166504 | 0.6039999723434448 | 4.23199987411499 | 5.090000152587891 | 1.7369999885559082 | 0.7789999842643738 | -9.0 |
16.600000381469727 | 16.5 | 18.680500030517578 | 18.677600860595703 | 4.4832000732421875 | 33.527000427246094 | 23.97719955444336 | 0.2750000059604645 | 4.084000110626221 | 4.989999771118164 | 1.7280000448226929 | 0.7850000262260437 | -9.0 |
17.100000381469727 | 17.0 | 18.690799713134766 | 18.68779945373535 | 4.521900177001953 | 33.84320068359375 | 24.21619987487793 | 0.4860000014305115 | 3.884999990463257 | 5.099999904632568 | 1.7380000352859497 | 0.7310000061988831 | -9.0 |
17.600000381469727 | 17.5 | 18.69420051574707 | 18.691099166870117 | 4.528299808502197 | 33.89360046386719 | 24.253999710083008 | 0.7250000238418579 | 3.8570001125335693 | 4.639999866485596 | 1.6970000267028809 | 0.7419999837875366 | -9.0 |
18.100000381469727 | 18.0 | 18.697900772094727 | 18.694700241088867 | 4.531300067901611 | 33.91559982299805 | 24.269800186157227 | 0.7710000276565552 | 3.812999963760376 | 4.309999942779541 | 1.6649999618530273 | 0.7509999871253967 | -9.0 |
18.600000381469727 | 18.5 | 18.698699951171875 | 18.69540023803711 | 4.53439998626709 | 33.94060134887695 | 24.288799285888672 | 0.6420000195503235 | 3.7179999351501465 | 4.039999961853027 | 1.6360000371932983 | 0.7649999856948853 | -9.0 |
19.100000381469727 | 19.0 | 18.69809913635254 | 18.694799423217773 | 4.538000106811523 | 33.97140121459961 | 24.3125 | 0.2639999985694885 | 3.6089999675750732 | 3.8399999141693115 | 1.6139999628067017 | 0.7350000143051147 | -9.0 |
19.600000381469727 | 19.5 | 18.69890022277832 | 18.695499420166016 | 4.539999961853027 | 33.987300872802734 | 24.32430076599121 | 0.5389999747276306 | 3.5199999809265137 | 3.5899999141693115 | 1.5850000381469727 | 0.7279999852180481 | -9.0 |
20.100000381469727 | 20.0 | 18.699199676513672 | 18.69569969177246 | 4.540500164031982 | 33.990501403808594 | 24.326799392700195 | 0.6359999775886536 | 3.5339999198913574 | 3.2300000190734863 | 1.5390000343322754 | 0.7440000176429749 | -9.0 |
In total, there are 37 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.