Metocean: Historical collections
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Dataset Title: | "LATEX CTD - d94i035.nc - 29.04N, 92.0W - 1994-07-30" |
Institution: | Texas A&M University, Department of Oceanography (Dataset ID: latex_d94i035) |
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 | 29.183300018310547 | 29.182899475097656 | 4.790599822998047 | 28.530099868774414 | 17.157400131225586 | 0.10499999672174454 | 3.0360000133514404 | 0.7300000190734863 | 0.0 | 1.7740000486373901 | 0.2669999897480011 |
2.0 | 2.0 | 29.178600311279297 | 29.1781005859375 | 4.789700031280518 | 28.527099609375 | 17.156700134277344 | -0.13899999856948853 | 3.0460000038146973 | 0.7300000190734863 | 0.0 | 1.7710000276565552 | 0.28299999237060547 |
2.5 | 2.5 | 29.18090057373047 | 29.180299758911133 | 4.79010009765625 | 28.527999877929688 | 17.156700134277344 | -0.10499999672174454 | 3.0490000247955322 | 0.7300000190734863 | 0.0 | 1.7680000066757202 | 0.2800000011920929 |
3.0 | 3.0 | 29.159799575805664 | 29.159099578857422 | 4.787300109863281 | 28.52199935913086 | 17.159099578857422 | -0.007000000216066837 | 3.0450000762939453 | 0.7300000190734863 | 0.0 | 1.7730000019073486 | 0.2750000059604645 |
3.5 | 3.5 | 29.11210060119629 | 29.111299514770508 | 4.781099796295166 | 28.508699417114258 | 17.164899826049805 | -0.15600000321865082 | 3.0280001163482666 | 0.7300000190734863 | 0.0 | 1.8040000200271606 | 0.27900001406669617 |
4.0 | 4.0 | 28.631900787353516 | 28.631000518798828 | 4.727799892425537 | 28.437599182128906 | 17.26799964904785 | -0.13099999725818634 | 2.73799991607666 | 0.7300000190734863 | 0.0 | 1.8940000534057617 | 0.29499998688697815 |
4.5 | 4.5 | 28.4955997467041 | 28.494600296020508 | 4.723899841308594 | 28.492900848388672 | 17.353599548339844 | 0.08299999684095383 | 2.625 | 0.7300000190734863 | 0.0 | 1.9570000171661377 | 0.3799999952316284 |
5.0 | 5.0 | 28.469200134277344 | 28.46809959411621 | 4.729599952697754 | 28.546499252319336 | 17.40220069885254 | -0.06300000101327896 | 2.7200000286102295 | 0.7300000190734863 | 0.0 | 1.9789999723434448 | 0.40799999237060547 |
5.5 | 5.5 | 28.48819923400879 | 28.486900329589844 | 4.737299919128418 | 28.587099075317383 | 17.42650032043457 | -0.08500000089406967 | 2.86899995803833 | 0.7300000190734863 | 0.0 | 1.996000051498413 | 0.414000004529953 |
6.0 | 6.0 | 28.515300750732422 | 28.513900756835938 | 4.743500232696533 | 28.61280059814453 | 17.43709945678711 | -0.3240000009536743 | 3.0220000743865967 | 0.7300000190734863 | 0.0 | 1.9889999628067017 | 0.382999986410141 |
6.5 | 6.5 | 28.461999893188477 | 28.460399627685547 | 4.740200042724609 | 28.622400283813477 | 17.46150016784668 | -0.9240000247955322 | 3.0969998836517334 | 0.7300000190734863 | 0.0 | 1.9889999628067017 | 0.3540000021457672 |
7.0 | 7.0 | 28.387100219726562 | 28.385499954223633 | 4.778800010681152 | 28.928499221801758 | 17.71500015258789 | 0.3009999990463257 | 3.056999921798706 | 0.7300000190734863 | 0.0 | 2.00600004196167 | 0.33500000834465027 |
7.599999904632568 | 7.5 | 28.001300811767578 | 27.999500274658203 | 5.001100063323975 | 30.687999725341797 | 19.158300399780273 | 0.0020000000949949026 | 2.928999900817871 | 0.7300000190734863 | 0.0 | 2.0799999237060547 | 0.35499998927116394 |
8.100000381469727 | 8.0 | 27.726600646972656 | 27.72480010986328 | 5.1280999183654785 | 31.746299743652344 | 20.0408992767334 | 0.12300000339746475 | 3.236999988555908 | 0.7300000190734863 | 0.0 | 2.0829999446868896 | 0.3319999873638153 |
8.600000381469727 | 8.5 | 26.84269905090332 | 26.840700149536133 | 5.373799800872803 | 34.099700927734375 | 22.09239959716797 | -0.010999999940395355 | 3.434999942779541 | 0.7300000190734863 | 0.0 | 2.121000051498413 | 0.28299999237060547 |
9.100000381469727 | 9.0 | 25.776100158691406 | 25.774099349975586 | 5.416800022125244 | 35.21120071411133 | 23.26460075378418 | -0.2150000035762787 | 3.0409998893737793 | 0.7300000190734863 | 0.0 | 2.1579999923706055 | 0.2199999988079071 |
9.600000381469727 | 9.5 | 25.36050033569336 | 25.358400344848633 | 5.414899826049805 | 35.51900100708008 | 23.625600814819336 | -0.024000000208616257 | 3.4010000228881836 | 0.7300000190734863 | 0.0 | 1.9889999628067017 | 0.2549999952316284 |
10.100000381469727 | 10.0 | 25.35449981689453 | 25.3523006439209 | 5.409800052642822 | 35.485801696777344 | 23.602500915527344 | -0.03200000151991844 | 3.5390000343322754 | 0.7300000190734863 | 0.0 | 1.8020000457763672 | 0.2290000021457672 |
10.600000381469727 | 10.5 | 25.272300720214844 | 25.270000457763672 | 5.411600112915039 | 35.563499450683594 | 23.686500549316406 | 0.3490000069141388 | 3.5820000171661377 | 0.7300000190734863 | 0.0 | 1.6430000066757202 | 0.22499999403953552 |
11.100000381469727 | 11.0 | 25.236000061035156 | 25.23349952697754 | 5.4120001792907715 | 35.594398498535156 | 23.72100067138672 | 0.17499999701976776 | 3.609999895095825 | 0.7300000190734863 | 0.0 | 1.5839999914169312 | 0.20499999821186066 |
11.600000381469727 | 11.5 | 25.228900909423828 | 25.22640037536621 | 5.4120001792907715 | 35.599998474121094 | 23.727399826049805 | 0.5130000114440918 | 3.615999937057495 | 0.7300000190734863 | 0.0 | 1.559000015258789 | 0.1770000010728836 |
12.100000381469727 | 12.0 | 25.229000091552734 | 25.226299285888672 | 5.412399768829346 | 35.60309982299805 | 23.729799270629883 | 1.409000039100647 | 3.634999990463257 | 0.7300000190734863 | 0.0 | 1.524999976158142 | 0.18400000035762787 |
12.600000381469727 | 12.5 | 25.231599807739258 | 25.228900909423828 | 5.413099765777588 | 35.60599899291992 | 23.731199264526367 | 0.12600000202655792 | 3.635999917984009 | 0.7300000190734863 | 0.0 | 1.534999966621399 | 0.1770000010728836 |
13.100000381469727 | 13.0 | 25.224899291992188 | 25.222000122070312 | 5.412799835205078 | 35.608699798583984 | 23.735300064086914 | 0.125 | 3.6559998989105225 | 0.7300000190734863 | 0.0 | 1.5490000247955322 | 0.17900000512599945 |
13.600000381469727 | 13.5 | 25.22570037841797 | 25.222700119018555 | 5.4131999015808105 | 35.61119842529297 | 23.73699951171875 | 0.013000000268220901 | 3.6610000133514404 | 0.7300000190734863 | 0.0 | 1.5069999694824219 | 0.1770000010728836 |
14.100000381469727 | 14.0 | 25.221900939941406 | 25.218799591064453 | 5.41379976272583 | 35.61830139160156 | 23.743600845336914 | -0.08500000089406967 | 3.6600000858306885 | 0.7300000190734863 | 0.0 | 1.562000036239624 | 0.17399999499320984 |
14.600000381469727 | 14.5 | 25.221200942993164 | 25.21809959411621 | 5.413899898529053 | 35.61880111694336 | 23.744199752807617 | -0.013000000268220901 | 3.6649999618530273 | 0.7300000190734863 | 0.0 | 1.5219999551773071 | 0.17399999499320984 |
In total, there are 27 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.