Metocean: Historical collections
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Dataset Title: | "LATEX CTD - d94i171.nc - 27.45N, 97.2W - 1994-08-04" |
Institution: | Texas A&M University, Department of Oceanography (Dataset ID: latex_d94i171) |
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 | 27.33060073852539 | 27.3302001953125 | 5.716599941253662 | 36.17679977416992 | 23.500200271606445 | 0.2669999897480011 | 3.680000066757202 | 200.0 | 2.440999984741211 | 1.7690000534057617 | 0.18700000643730164 |
2.0 | 2.0 | 27.334199905395508 | 27.33370018005371 | 5.7170000076293945 | 36.176998138427734 | 23.49920082092285 | 0.328000009059906 | 3.686000108718872 | 175.0 | 2.38100004196167 | 1.7660000324249268 | 0.19200000166893005 |
2.5 | 2.5 | 27.336200714111328 | 27.3356990814209 | 5.717299938201904 | 36.177101135253906 | 23.498699188232422 | 0.621999979019165 | 3.690000057220459 | 158.0 | 2.3380000591278076 | 1.7389999628067017 | 0.1889999955892563 |
3.0 | 3.0 | 27.33650016784668 | 27.335800170898438 | 5.717400074005127 | 36.17720031738281 | 23.49880027770996 | 0.6119999885559082 | 3.690000057220459 | 134.0 | 2.2669999599456787 | 1.718999981880188 | 0.18700000643730164 |
3.5 | 3.5 | 27.33650016784668 | 27.3356990814209 | 5.717400074005127 | 36.177101135253906 | 23.498699188232422 | 0.5720000267028809 | 3.680000066757202 | 118.0 | 2.2100000381469727 | 1.7610000371932983 | 0.18400000035762787 |
4.0 | 4.0 | 27.33639907836914 | 27.335500717163086 | 5.717400074005127 | 36.17720031738281 | 23.49880027770996 | 0.8420000076293945 | 3.681999921798706 | 102.0 | 2.1480000019073486 | 1.7760000228881836 | 0.18799999356269836 |
4.5 | 4.5 | 27.33609962463379 | 27.334999084472656 | 5.717400074005127 | 36.177398681640625 | 23.499099731445312 | 0.7070000171661377 | 3.687999963760376 | 85.5 | 2.071000099182129 | 1.7690000534057617 | 0.18799999356269836 |
5.0 | 5.0 | 27.335599899291992 | 27.33449935913086 | 5.717400074005127 | 36.1776008605957 | 23.499399185180664 | 0.4440000057220459 | 3.687000036239624 | 75.69999694824219 | 2.0179998874664307 | 1.7269999980926514 | 0.1809999942779541 |
5.5 | 5.5 | 27.335800170898438 | 27.3346004486084 | 5.717400074005127 | 36.177398681640625 | 23.499300003051758 | 0.8479999899864197 | 3.690000057220459 | 70.5 | 1.9869999885559082 | 1.7389999628067017 | 0.18400000035762787 |
6.0 | 6.0 | 27.33609962463379 | 27.334699630737305 | 5.71750020980835 | 36.177398681640625 | 23.49920082092285 | 0.9829999804496765 | 3.678999900817871 | 61.400001525878906 | 1.9270000457763672 | 1.7259999513626099 | 0.18400000035762787 |
6.5 | 6.5 | 27.33639907836914 | 27.33489990234375 | 5.71750020980835 | 36.1775016784668 | 23.49920082092285 | 0.8960000276565552 | 3.677999973297119 | 53.099998474121094 | 1.8639999628067017 | 1.715000033378601 | 0.1860000044107437 |
7.0 | 7.0 | 27.33609962463379 | 27.33449935913086 | 5.717599868774414 | 36.17770004272461 | 23.49959945678711 | 0.5609999895095825 | 3.686000108718872 | 44.900001525878906 | 1.7910000085830688 | 1.7209999561309814 | 0.18400000035762787 |
7.599999904632568 | 7.5 | 27.336599349975586 | 27.33489990234375 | 5.717599868774414 | 36.177398681640625 | 23.49920082092285 | 0.7400000095367432 | 3.680999994277954 | 39.20000076293945 | 1.7319999933242798 | 1.7719999551773071 | 0.1889999955892563 |
8.100000381469727 | 8.0 | 27.33679962158203 | 27.33489990234375 | 5.717700004577637 | 36.1781005859375 | 23.49970054626465 | 0.8119999766349792 | 3.686000108718872 | 34.599998474121094 | 1.6779999732971191 | 1.7669999599456787 | 0.1850000023841858 |
8.600000381469727 | 8.5 | 27.33769989013672 | 27.3356990814209 | 5.718100070953369 | 36.180198669433594 | 23.500999450683594 | 0.7160000205039978 | 3.687999963760376 | 31.100000381469727 | 1.6319999694824219 | 1.7660000324249268 | 0.18199999630451202 |
9.100000381469727 | 9.0 | 27.34000015258789 | 27.337900161743164 | 5.71999979019165 | 36.19169998168945 | 23.509000778198242 | 0.515999972820282 | 3.7130000591278076 | 28.399999618530273 | 1.593000054359436 | 1.7389999628067017 | 0.1809999942779541 |
9.600000381469727 | 9.5 | 27.336599349975586 | 27.334299087524414 | 5.720300197601318 | 36.19649887084961 | 23.513700485229492 | 0.3529999852180481 | 3.739000082015991 | 24.799999237060547 | 1.5329999923706055 | 1.7400000095367432 | 0.1809999942779541 |
10.100000381469727 | 10.0 | 27.33099937438965 | 27.32859992980957 | 5.720200061798096 | 36.19990158081055 | 23.518199920654297 | 0.4269999861717224 | 3.739000082015991 | 20.200000762939453 | 1.444000005722046 | 1.75600004196167 | 0.1809999942779541 |
10.600000381469727 | 10.5 | 27.325899124145508 | 27.323400497436523 | 5.719900131225586 | 36.20159912109375 | 23.521099090576172 | 0.7609999775886536 | 3.7739999294281006 | 18.799999237060547 | 1.4140000343322754 | 1.7699999809265137 | 0.1770000010728836 |
11.100000381469727 | 11.0 | 27.318700790405273 | 27.316099166870117 | 5.719200134277344 | 36.20140075683594 | 23.523399353027344 | 0.9259999990463257 | 3.7880001068115234 | 17.399999618530273 | 1.378999948501587 | 1.7489999532699585 | 0.1809999942779541 |
11.600000381469727 | 11.5 | 27.309099197387695 | 27.306499481201172 | 5.718200206756592 | 36.20199966430664 | 23.526899337768555 | 0.9290000200271606 | 3.7690000534057617 | 15.600000381469727 | 1.3329999446868896 | 1.7289999723434448 | 0.17399999499320984 |
12.100000381469727 | 12.0 | 27.30459976196289 | 27.301799774169922 | 5.718200206756592 | 36.205101013183594 | 23.53070068359375 | 0.7519999742507935 | 3.7909998893737793 | 13.800000190734863 | 1.2790000438690186 | 1.7170000076293945 | 0.17299999296665192 |
12.600000381469727 | 12.5 | 27.29680061340332 | 27.293899536132812 | 5.717599868774414 | 36.20709991455078 | 23.534799575805664 | 0.47200000286102295 | 3.7730000019073486 | 11.699999809265137 | 1.2070000171661377 | 1.7230000495910645 | 0.17800000309944153 |
13.100000381469727 | 13.0 | 27.282899856567383 | 27.27989959716797 | 5.71619987487793 | 36.207401275634766 | 23.539600372314453 | 0.6169999837875366 | 3.7330000400543213 | 10.600000381469727 | 1.1660000085830688 | 1.7369999885559082 | 0.17599999904632568 |
13.600000381469727 | 13.5 | 27.278200149536133 | 27.274999618530273 | 5.71560001373291 | 36.2067985534668 | 23.540700912475586 | 0.4359999895095825 | 3.6610000133514404 | 9.479999542236328 | 1.1160000562667847 | 1.7419999837875366 | 0.1809999942779541 |
14.100000381469727 | 14.0 | 27.270599365234375 | 27.26729965209961 | 5.714700222015381 | 36.20600128173828 | 23.542499542236328 | 0.3580000102519989 | 3.499000072479248 | 8.09000015258789 | 1.0470000505447388 | 1.7309999465942383 | 0.1899999976158142 |
14.600000381469727 | 14.5 | 27.269899368286133 | 27.26650047302246 | 5.714700222015381 | 36.20610046386719 | 23.54290008544922 | 0.46700000762939453 | 3.4519999027252197 | 7.449999809265137 | 1.0110000371932983 | 1.7699999809265137 | 0.2070000022649765 |
15.100000381469727 | 15.0 | 27.268699645996094 | 27.265199661254883 | 5.7144999504089355 | 36.20600128173828 | 23.54330062866211 | 0.4169999957084656 | 3.3970000743865967 | 6.550000190734863 | 0.9549999833106995 | 1.7630000114440918 | 0.21299999952316284 |
In total, there are 28 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.