Metocean: Historical collections
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Dataset Title: | "LATEX CTD - d94i132.nc - 27.24N, 97.16W - 1994-08-05" |
Institution: | Texas A&M University, Department of Oceanography (Dataset ID: latex_d94i132) |
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 | 26.745899200439453 | 26.745500564575195 | 5.667600154876709 | 36.28099822998047 | 23.76650047302246 | -0.8669999837875366 | 3.8259999752044678 | 0.7300000190734863 | 0.0 | 1.4980000257492065 | 0.2630000114440918 |
2.5 | 2.5 | 26.747100830078125 | 26.74650001525879 | 5.667600154876709 | 36.280399322509766 | 23.76569938659668 | 1.937000036239624 | 3.7990000247955322 | 0.7300000190734863 | 0.0 | 1.6490000486373901 | 0.17800000309944153 |
3.0 | 3.0 | 26.749099731445312 | 26.74839973449707 | 5.667900085449219 | 36.280601501464844 | 23.765199661254883 | 0.22100000083446503 | 3.7909998893737793 | 0.7300000190734863 | 0.0 | 1.6080000400543213 | 0.16599999368190765 |
3.5 | 3.5 | 26.75 | 26.74920082092285 | 5.668000221252441 | 36.28010177612305 | 23.764699935913086 | 0.13199999928474426 | 3.7909998893737793 | 0.7300000190734863 | 0.0 | 1.6299999952316284 | 0.164000004529953 |
4.0 | 4.0 | 26.750999450683594 | 26.750099182128906 | 5.668099880218506 | 36.27980041503906 | 23.76409912109375 | -0.014999999664723873 | 3.7980000972747803 | 0.7300000190734863 | 0.0 | 1.5640000104904175 | 0.17100000381469727 |
4.5 | 4.5 | 26.751399993896484 | 26.75040054321289 | 5.6682000160217285 | 36.28010177612305 | 23.76420021057129 | 0.17299999296665192 | 3.7990000247955322 | 0.7300000190734863 | 0.0 | 1.5369999408721924 | 0.16699999570846558 |
5.0 | 5.0 | 26.746999740600586 | 26.745899200439453 | 5.668000221252441 | 36.282501220703125 | 23.767499923706055 | 0.28600001335144043 | 3.7960000038146973 | 0.7300000190734863 | 0.0 | 1.527999997138977 | 0.16899999976158142 |
5.5 | 5.5 | 26.752599716186523 | 26.751399993896484 | 5.668300151824951 | 36.279701232910156 | 23.763599395751953 | 0.28600001335144043 | 3.7990000247955322 | 0.7300000190734863 | 0.0 | 1.5329999923706055 | 0.16899999976158142 |
6.0 | 6.0 | 26.753299713134766 | 26.75189971923828 | 5.668399810791016 | 36.27980041503906 | 23.763599395751953 | -0.014000000432133675 | 3.805000066757202 | 0.7300000190734863 | 0.0 | 1.5980000495910645 | 0.17000000178813934 |
6.5 | 6.5 | 26.752599716186523 | 26.751100540161133 | 5.668499946594238 | 36.280799865722656 | 23.76460075378418 | -2.9489998817443848 | 3.7980000972747803 | 0.7300000190734863 | 0.0 | 1.5479999780654907 | 0.17299999296665192 |
7.0 | 7.0 | 26.75670051574707 | 26.75510025024414 | 5.668600082397461 | 36.278499603271484 | 23.761499404907227 | -0.14399999380111694 | 3.799999952316284 | 0.7300000190734863 | 0.0 | 1.5670000314712524 | 0.1809999942779541 |
7.599999904632568 | 7.5 | 26.758800506591797 | 26.757099151611328 | 5.668700218200684 | 36.277198791503906 | 23.759899139404297 | -0.30000001192092896 | 3.799999952316284 | 0.7300000190734863 | 0.0 | 1.559000015258789 | 0.20600000023841858 |
8.100000381469727 | 8.0 | 26.75909996032715 | 26.757200241088867 | 5.668700218200684 | 36.277000427246094 | 23.75979995727539 | 0.06800000369548798 | 3.7850000858306885 | 0.7300000190734863 | 0.0 | 1.6089999675750732 | 0.1809999942779541 |
8.600000381469727 | 8.5 | 26.757200241088867 | 26.755199432373047 | 5.668600082397461 | 36.27730178833008 | 23.76059913635254 | -0.07400000095367432 | 3.7890000343322754 | 0.7300000190734863 | 0.0 | 1.593999981880188 | 0.16899999976158142 |
9.100000381469727 | 9.0 | 26.752399444580078 | 26.75029945373535 | 5.668300151824951 | 36.27899932861328 | 23.763399124145508 | -0.0689999982714653 | 3.7850000858306885 | 0.7300000190734863 | 0.0 | 1.6050000190734863 | 0.18199999630451202 |
9.600000381469727 | 9.5 | 26.755199432373047 | 26.753000259399414 | 5.668600082397461 | 36.27840042114258 | 23.76219940185547 | -0.21799999475479126 | 3.7829999923706055 | 0.7300000190734863 | 0.0 | 1.6660000085830688 | 0.17100000381469727 |
10.100000381469727 | 10.0 | 26.721399307250977 | 26.719100952148438 | 5.666399955749512 | 36.289100646972656 | 23.7810001373291 | -0.48500001430511475 | 3.763000011444092 | 0.7300000190734863 | 0.0 | 1.6820000410079956 | 0.1889999955892563 |
10.600000381469727 | 10.5 | 26.71470069885254 | 26.712299346923828 | 5.665999889373779 | 36.29100036621094 | 23.78459930419922 | 0.08299999684095383 | 3.760999917984009 | 0.7300000190734863 | 0.0 | 1.6230000257492065 | 0.19300000369548798 |
11.100000381469727 | 11.0 | 26.72949981689453 | 26.726999282836914 | 5.666900157928467 | 36.28620147705078 | 23.776399612426758 | 0.02500000037252903 | 3.7060000896453857 | 0.7300000190734863 | 0.0 | 1.625 | 0.2029999941587448 |
11.600000381469727 | 11.5 | 26.72450065612793 | 26.721799850463867 | 5.666600227355957 | 36.287601470947266 | 23.77899932861328 | -1.628999948501587 | 3.7060000896453857 | 0.7300000190734863 | 0.0 | 1.5779999494552612 | 0.19200000166893005 |
12.100000381469727 | 12.0 | 26.705799102783203 | 26.702999114990234 | 5.66540002822876 | 36.293701171875 | 23.789600372314453 | 0.7120000123977661 | 3.703000068664551 | 0.7300000190734863 | 0.0 | 1.5880000591278076 | 0.19599999487400055 |
12.600000381469727 | 12.5 | 26.688800811767578 | 26.68589973449707 | 5.664299964904785 | 36.29909896850586 | 23.799100875854492 | -0.12399999797344208 | 3.687999963760376 | 0.7300000190734863 | 0.0 | 1.6440000534057617 | 0.22499999403953552 |
13.100000381469727 | 13.0 | 26.662399291992188 | 26.659400939941406 | 5.662600040435791 | 36.306800842285156 | 23.813400268554688 | -0.20100000500679016 | 3.6630001068115234 | 0.7300000190734863 | 0.0 | 1.6449999809265137 | 0.257999986410141 |
13.600000381469727 | 13.5 | 26.659799575805664 | 26.656700134277344 | 5.662399768829346 | 36.30730056762695 | 23.814599990844727 | 0.1420000046491623 | 3.5999999046325684 | 0.7300000190734863 | 0.0 | 1.593000054359436 | 0.31299999356269836 |
14.100000381469727 | 14.0 | 26.659000396728516 | 26.65570068359375 | 5.662300109863281 | 36.30739974975586 | 23.815000534057617 | -0.010999999940395355 | 3.503000020980835 | 0.7300000190734863 | 0.0 | 1.5579999685287476 | 0.3009999990463257 |
14.600000381469727 | 14.5 | 26.658599853515625 | 26.65530014038086 | 5.662300109863281 | 36.30759811401367 | 23.81529998779297 | -0.003000000026077032 | 3.4730000495910645 | 0.7300000190734863 | 0.0 | 1.5839999914169312 | 0.3019999861717224 |
15.100000381469727 | 15.0 | 26.657899856567383 | 26.654499053955078 | 5.662300109863281 | 36.307701110839844 | 23.81559944152832 | -0.10899999737739563 | 3.4509999752044678 | 0.7300000190734863 | 0.0 | 1.534999966621399 | 0.3070000112056732 |
15.600000381469727 | 15.5 | 26.65559959411621 | 26.652099609375 | 5.662199974060059 | 36.30870056152344 | 23.817100524902344 | -0.29899999499320984 | 3.447999954223633 | 0.7300000190734863 | 0.0 | 1.5180000066757202 | 0.31700000166893005 |
16.100000381469727 | 16.0 | 26.65290069580078 | 26.64929962158203 | 5.6620001792907715 | 36.30910110473633 | 23.81839942932129 | 0.003000000026077032 | 3.438999891281128 | 0.7300000190734863 | 0.0 | 1.503999948501587 | 0.30399999022483826 |
16.600000381469727 | 16.5 | 26.65250015258789 | 26.648700714111328 | 5.6620001792907715 | 36.30939865112305 | 23.81879997253418 | 0.17900000512599945 | 3.436000108718872 | 0.7300000190734863 | 0.0 | 1.5199999809265137 | 0.30399999022483826 |
17.100000381469727 | 17.0 | 26.651500701904297 | 26.647600173950195 | 5.6620001792907715 | 36.31039810180664 | 23.819900512695312 | 0.026000000536441803 | 3.434999942779541 | 0.7300000190734863 | 0.0 | 1.5160000324249268 | 0.30300000309944153 |
17.600000381469727 | 17.5 | 26.651899337768555 | 26.647899627685547 | 5.662199974060059 | 36.31100082397461 | 23.820199966430664 | -0.01899999938905239 | 3.434999942779541 | 0.7300000190734863 | 0.0 | 1.5160000324249268 | 0.29100000858306885 |
18.100000381469727 | 18.0 | 26.652099609375 | 26.648000717163086 | 5.662300109863281 | 36.311100006103516 | 23.82029914855957 | 0.024000000208616257 | 3.433000087738037 | 0.7300000190734863 | 0.0 | 1.5080000162124634 | 0.289000004529953 |
18.600000381469727 | 18.5 | 26.652099609375 | 26.64780044555664 | 5.662199974060059 | 36.31079864501953 | 23.820100784301758 | 0.04800000041723251 | 3.436000108718872 | 0.7300000190734863 | 0.0 | 1.5019999742507935 | 0.28600001335144043 |
19.100000381469727 | 19.0 | 26.65180015563965 | 26.647499084472656 | 5.662300109863281 | 36.31119918823242 | 23.820499420166016 | -0.029999999329447746 | 3.437000036239624 | 0.7300000190734863 | 0.0 | 1.5190000534057617 | 0.29499998688697815 |
19.600000381469727 | 19.5 | 26.651500701904297 | 26.6471004486084 | 5.662399768829346 | 36.311798095703125 | 23.82110023498535 | -0.11299999803304672 | 3.440000057220459 | 0.7300000190734863 | 0.0 | 1.531000018119812 | 0.2939999997615814 |
20.100000381469727 | 20.0 | 26.651399612426758 | 26.646799087524414 | 5.662399768829346 | 36.311798095703125 | 23.821199417114258 | 0.026000000536441803 | 3.437999963760376 | 0.7300000190734863 | 0.0 | 1.5740000009536743 | 0.29499998688697815 |
20.600000381469727 | 20.5 | 26.650999069213867 | 26.646299362182617 | 5.662399768829346 | 36.312198638916016 | 23.82159996032715 | 0.07199999690055847 | 3.447000026702881 | 0.7300000190734863 | 0.0 | 1.555999994277954 | 0.28999999165534973 |
21.100000381469727 | 21.0 | 26.65089988708496 | 26.646099090576172 | 5.662399768829346 | 36.312198638916016 | 23.821699142456055 | -0.13099999725818634 | 3.447999954223633 | 0.7300000190734863 | 0.0 | 1.5460000038146973 | 0.29499998688697815 |
21.600000381469727 | 21.5 | 26.650400161743164 | 26.64539909362793 | 5.662399768829346 | 36.312198638916016 | 23.8218994140625 | 0.3610000014305115 | 3.441999912261963 | 0.7300000190734863 | 0.0 | 1.5520000457763672 | 0.3070000112056732 |
22.100000381469727 | 22.0 | 26.64550018310547 | 26.640399932861328 | 5.661799907684326 | 36.31169891357422 | 23.82309913635254 | 0.4650000035762787 | 3.4200000762939453 | 0.7300000190734863 | 0.0 | 1.5069999694824219 | 0.29600000381469727 |
22.700000762939453 | 22.5 | 26.643999099731445 | 26.638900756835938 | 5.661600112915039 | 36.3109016418457 | 23.822999954223633 | -1.2649999856948853 | 3.4200000762939453 | 0.7300000190734863 | 0.0 | 1.4950000047683716 | 0.3059999942779541 |
23.200000762939453 | 23.0 | 26.637300491333008 | 26.631999969482422 | 5.660799980163574 | 36.31039810180664 | 23.824800491333008 | 0.4020000100135803 | 3.4140000343322754 | 0.7300000190734863 | 0.0 | 1.4989999532699585 | 0.30000001192092896 |
23.700000762939453 | 23.5 | 26.58329963684082 | 26.577999114990234 | 5.654200077056885 | 36.305301666259766 | 23.83810043334961 | 0.03500000014901161 | 3.4010000228881836 | 0.7300000190734863 | 0.0 | 1.531999945640564 | 0.3009999990463257 |
In total, there are 44 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.