Metocean: Historical collections
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Brought to you by NOAA NMFS SWFSC ERD |
Dataset Title: | "NEGOM CTD - n9l08s03.nc - 29.4N, 85.0W - 2000-00-04" |
Institution: | OCEAN.TAMU (Dataset ID: negom_n9l08s03) |
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 |
2.5 | 2.5 | 29.64929962158203 | 29.648700714111328 | 5.944900035858154 | 36.0 | 22.596099853515625 | 0.061000000685453415 | 4.040999889373779 | -9.0 | -9.0 | 1.3270000219345093 | 0.2750000059604645 |
3.0 | 3.0 | 29.650999069213867 | 29.650299072265625 | 5.945700168609619 | 36.00389862060547 | 22.598499298095703 | 0.33000001311302185 | 4.041999816894531 | -9.0 | -9.0 | 1.3279999494552612 | 0.2709999978542328 |
3.5 | 3.5 | 29.65130043029785 | 29.650400161743164 | 5.945700168609619 | 36.00379943847656 | 22.59830093383789 | 0.34200000762939453 | 4.040999889373779 | -9.0 | -9.0 | 1.3200000524520874 | 0.27399998903274536 |
4.0 | 4.0 | 29.649099349975586 | 29.648099899291992 | 5.9456000328063965 | 36.00419998168945 | 22.59939956665039 | 0.3100000023841858 | 4.040999889373779 | -9.0 | -9.0 | 1.3070000410079956 | 0.2529999911785126 |
4.5 | 4.5 | 29.649999618530273 | 29.64889907836914 | 5.945700168609619 | 36.00400161743164 | 22.599000930786133 | 0.5590000152587891 | 4.039999961853027 | -9.0 | -9.0 | 1.3040000200271606 | 0.25200000405311584 |
5.0 | 5.0 | 29.652700424194336 | 29.651500701904297 | 5.946000099182129 | 36.00400161743164 | 22.598100662231445 | 0.5239999890327454 | 4.040999889373779 | -9.0 | -9.0 | 1.3049999475479126 | 0.2639999985694885 |
5.5 | 5.5 | 29.65489959716797 | 29.653499603271484 | 5.946199893951416 | 36.00389862060547 | 22.597299575805664 | 0.34200000762939453 | 4.043000221252441 | -9.0 | -9.0 | 1.3359999656677246 | 0.26100000739097595 |
6.0 | 6.0 | 29.660499572753906 | 29.659000396728516 | 5.946800231933594 | 36.003501892089844 | 22.595199584960938 | 0.3869999945163727 | 4.034999847412109 | -9.0 | -9.0 | 1.3070000410079956 | 0.25699999928474426 |
6.5 | 6.5 | 29.660400390625 | 29.65880012512207 | 5.946800231933594 | 36.003700256347656 | 22.595399856567383 | 0.49399998784065247 | 4.007999897003174 | -9.0 | -9.0 | 1.3559999465942383 | 0.2840000092983246 |
7.0 | 7.0 | 29.660999298095703 | 29.659299850463867 | 5.946899890899658 | 36.00339889526367 | 22.594999313354492 | 0.492000013589859 | 4.013999938964844 | -9.0 | -9.0 | 1.3580000400543213 | 0.3109999895095825 |
7.599999904632568 | 7.5 | 29.660499572753906 | 29.658599853515625 | 5.946899890899658 | 36.00339889526367 | 22.595199584960938 | 0.3269999921321869 | 4.01800012588501 | -9.0 | -9.0 | 1.3309999704360962 | 0.3400000035762787 |
8.100000381469727 | 8.0 | 29.659700393676758 | 29.657699584960938 | 5.946899890899658 | 36.00389862060547 | 22.59589958190918 | 0.3840000033378601 | 4.035999774932861 | -9.0 | -9.0 | 1.312999963760376 | 0.328000009059906 |
8.600000381469727 | 8.5 | 29.660600662231445 | 29.65850067138672 | 5.947000026702881 | 36.00379943847656 | 22.595600128173828 | 0.5989999771118164 | 3.990999937057495 | -9.0 | -9.0 | 1.3209999799728394 | 0.2980000078678131 |
9.100000381469727 | 9.0 | 29.659700393676758 | 29.657499313354492 | 5.946899890899658 | 36.00389862060547 | 22.59600067138672 | 0.6039999723434448 | 4.014999866485596 | -9.0 | -9.0 | 1.3669999837875366 | 0.2540000081062317 |
9.600000381469727 | 9.5 | 29.659400939941406 | 29.656999588012695 | 5.946899890899658 | 36.00389862060547 | 22.596099853515625 | 0.3529999852180481 | 4.021999835968018 | -9.0 | -9.0 | 1.378000020980835 | 0.25999999046325684 |
10.100000381469727 | 10.0 | 29.65959930419922 | 29.657100677490234 | 5.947000026702881 | 36.004398345947266 | 22.596500396728516 | 0.33899998664855957 | 4.038000106811523 | -9.0 | -9.0 | 1.3739999532699585 | 0.2669999897480011 |
10.600000381469727 | 10.5 | 29.661300659179688 | 29.658700942993164 | 5.947199821472168 | 36.00419998168945 | 22.595800399780273 | 0.5170000195503235 | 4.017000198364258 | -9.0 | -9.0 | 1.3380000591278076 | 0.2619999945163727 |
11.100000381469727 | 11.0 | 29.661500930786133 | 29.65880012512207 | 5.947199821472168 | 36.00419998168945 | 22.595800399780273 | 0.4699999988079071 | 3.996000051498413 | -9.0 | -9.0 | 1.319000005722046 | 0.2709999978542328 |
11.600000381469727 | 11.5 | 29.661399841308594 | 29.65850067138672 | 5.947299957275391 | 36.00429916381836 | 22.59589958190918 | 0.42100000381469727 | 4.014999866485596 | -9.0 | -9.0 | 1.3079999685287476 | 0.2800000011920929 |
12.100000381469727 | 12.0 | 29.661399841308594 | 29.65839958190918 | 5.947299957275391 | 36.00429916381836 | 22.59600067138672 | 0.4650000035762787 | 4.014999866485596 | -9.0 | -9.0 | 1.315000057220459 | 0.27900001406669617 |
12.600000381469727 | 12.5 | 29.66069984436035 | 29.65760040283203 | 5.947199821472168 | 36.00389862060547 | 22.59589958190918 | 0.42899999022483826 | 4.025000095367432 | -9.0 | -9.0 | 1.3179999589920044 | 0.27300000190734863 |
13.100000381469727 | 13.0 | 29.66349983215332 | 29.66029930114746 | 5.947400093078613 | 36.003501892089844 | 22.59469985961914 | 0.3109999895095825 | 4.043000221252441 | -9.0 | -9.0 | 1.315999984741211 | 0.2669999897480011 |
13.600000381469727 | 13.5 | 29.664199829101562 | 29.66080093383789 | 5.9475998878479 | 36.00360107421875 | 22.594600677490234 | 0.4090000092983246 | 4.031000137329102 | -9.0 | -9.0 | 1.3799999952316284 | 0.2709999978542328 |
14.100000381469727 | 14.0 | 29.664100646972656 | 29.660600662231445 | 5.947500228881836 | 36.00339889526367 | 22.594499588012695 | 0.5220000147819519 | 4.015999794006348 | -9.0 | -9.0 | 1.3669999837875366 | 0.2619999945163727 |
14.600000381469727 | 14.5 | 29.664400100708008 | 29.66080093383789 | 5.9475998878479 | 36.00360107421875 | 22.594600677490234 | 0.49000000953674316 | 4.033999919891357 | -9.0 | -9.0 | 1.3609999418258667 | 0.29899999499320984 |
15.100000381469727 | 15.0 | 29.6643009185791 | 29.660600662231445 | 5.9475998878479 | 36.003700256347656 | 22.59469985961914 | 0.335999995470047 | 4.0229997634887695 | -9.0 | -9.0 | 1.3370000123977661 | 0.289000004529953 |
15.600000381469727 | 15.5 | 29.664400100708008 | 29.660600662231445 | 5.947700023651123 | 36.00360107421875 | 22.59469985961914 | 0.27399998903274536 | 4.0329999923706055 | -9.0 | -9.0 | 1.3270000219345093 | 0.257999986410141 |
16.100000381469727 | 16.0 | 29.6643009185791 | 29.66029930114746 | 5.9475998878479 | 36.003299713134766 | 22.594600677490234 | 0.32600000500679016 | 4.035999774932861 | -9.0 | -9.0 | 1.3559999465942383 | 0.2709999978542328 |
16.600000381469727 | 16.5 | 29.664600372314453 | 29.660499572753906 | 5.947700023651123 | 36.00360107421875 | 22.59469985961914 | 0.4230000078678131 | 3.992000102996826 | -9.0 | -9.0 | 1.343000054359436 | 0.2639999985694885 |
17.100000381469727 | 17.0 | 29.66469955444336 | 29.660499572753906 | 5.947800159454346 | 36.003501892089844 | 22.59469985961914 | 0.45500001311302185 | 4.0370001792907715 | -9.0 | -9.0 | 1.340000033378601 | 0.2849999964237213 |
17.600000381469727 | 17.5 | 29.66469955444336 | 29.660400390625 | 5.947800159454346 | 36.003700256347656 | 22.59480094909668 | 0.28200000524520874 | 4.0289998054504395 | -9.0 | -9.0 | 1.3300000429153442 | 0.2669999897480011 |
18.100000381469727 | 18.0 | 29.664400100708008 | 29.659900665283203 | 5.947800159454346 | 36.00389862060547 | 22.59510040283203 | 0.30300000309944153 | 4.039000034332275 | -9.0 | -9.0 | 1.309999942779541 | 0.24899999797344208 |
18.600000381469727 | 18.5 | 29.66230010986328 | 29.657699584960938 | 5.947500228881836 | 36.00339889526367 | 22.595500946044922 | 0.49000000953674316 | 4.051000118255615 | -9.0 | -9.0 | 1.3070000410079956 | 0.2639999985694885 |
19.100000381469727 | 19.0 | 29.66029930114746 | 29.65559959411621 | 5.947299957275391 | 36.00320053100586 | 22.596099853515625 | 0.421999990940094 | 3.99399995803833 | -9.0 | -9.0 | 1.3240000009536743 | 0.2800000011920929 |
19.600000381469727 | 19.5 | 29.660499572753906 | 29.65570068359375 | 5.947400093078613 | 36.003299713134766 | 22.596099853515625 | 0.2669999897480011 | 4.013000011444092 | -9.0 | -9.0 | 1.3170000314712524 | 0.2750000059604645 |
20.100000381469727 | 20.0 | 29.66119956970215 | 29.656200408935547 | 5.947400093078613 | 36.00310134887695 | 22.595800399780273 | 0.25699999928474426 | 4.020999908447266 | -9.0 | -9.0 | 1.315999984741211 | 0.2879999876022339 |
20.600000381469727 | 20.5 | 29.66080093383789 | 29.65570068359375 | 5.947400093078613 | 36.00279998779297 | 22.595699310302734 | 0.36800000071525574 | 4.000999927520752 | -9.0 | -9.0 | 1.315999984741211 | 0.28999999165534973 |
21.100000381469727 | 21.0 | 29.66010093688965 | 29.65489959716797 | 5.947299957275391 | 36.00270080566406 | 22.59600067138672 | 0.06599999964237213 | 4.006999969482422 | -9.0 | -9.0 | 1.2769999504089355 | 0.38100001215934753 |
In total, there are 38 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.