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Dataset Title:  "LATEX CTD - d94i030.nc - 28.83N, 90.51W - 1994-07-29" Subscribe RSS
Institution:  Texas A&M University, Department of Oceanography   (Dataset ID: latex_d94i030)
Information:  Summary ? | License ? | FGDC | ISO 19115 | Metadata | Background (external link) | Data Access Form | Files | Make a graph

Select a subset:      (Current number of distinct combinations of matching data: 26)
Make as many selections as you want, in any order. Each selection changes the other options (and the map and data below) accordingly.

    pressure ?  =  dBar   26 options
    depth ?  =  m   26 options
    temperature ?  =  degree_C   26 options
    potentialTemperature ?  =  degree_C   26 options
    conductivity ?  =  Siemens per meter   26 options
    salinity ?  =  PSU   26 options
    sigmat ?  =  kg m-3   26 options
    descentRate ?  =  meters per second   25 options
    transmission ?  =  percent   26 options
    par ?  =  umol m-2 s-1   26 options
    parv ?  =  volts   26 options
    fluorescence ?  =  volts   26 options
    backscattering ?  =  volts   22 options

View:      Map of All Related Data ?      Distinct Data Counts ?     Distinct Data ?      Related Data Counts ?     Related Data ?

 
Map of All Related Data ?   (Refine the map and/or download the image)

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.
 


Distinct Data Counts ?

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 28.208599090576172 28.208099365234375 3.4969000816345215 20.52869987487793 11.490699768066406 -0.09600000083446503 3.0929999351501465 578.0 2.9010000228881836 1.9579999446868896 0.20200000703334808
2.5 2.5 28.223100662231445 28.22249984741211 3.502500057220459 20.558799743652344 11.508700370788574 -0.3479999899864197 3.0959999561309814 473.0 2.813999891281128 1.9550000429153442 0.20200000703334808
3.0 3.0 28.273099899291992 28.27239990234375 3.5167999267578125 20.629899978637695 11.546099662780762 -0.013000000268220901 3.0989999771118164 340.0 2.6700000762939453 1.965999960899353 0.20100000500679016
3.5 3.5 28.39419937133789 28.393400192260742 3.570499897003174 20.92460060119629 11.728300094604492 0.12800000607967377 3.1089999675750732 273.0 2.5759999752044678 1.975000023841858 0.20100000500679016
4.0 4.0 28.63360023498535 28.632699966430664 3.7237000465393066 21.81049919128418 12.31410026550293 -0.003000000026077032 3.0920000076293945 208.0 2.4579999446868896 1.9989999532699585 0.20100000500679016
4.5 4.5 28.805200576782227 28.804100036621094 3.980299949645996 23.397199630737305 13.444100379943848 -0.020999999716877937 3.2079999446868896 157.0 2.3340001106262207 2.0369999408721924 0.20000000298023224
5.0 5.0 28.962099075317383 28.960899353027344 4.172599792480469 24.574499130249023 14.27280044555664 -0.1720000058412552 3.5 112.0 2.187999963760376 2.0179998874664307 0.16300000250339508
5.5 5.5 29.164199829101562 29.162900924682617 4.3566999435424805 25.674699783325195 15.029199600219727 0.1080000028014183 3.75600004196167 82.19999694824219 2.053999900817871 1.9780000448226929 0.13600000739097595
6.0 6.0 29.26580047607422 29.264400482177734 4.538700103759766 26.815200805664062 15.848199844360352 -0.4790000021457672 3.8910000324249268 62.70000076293945 1.9359999895095825 1.9210000038146973 0.10599999874830246
6.5 6.5 29.155000686645508 29.153400421142578 4.749100208282471 28.269800186157227 16.971900939941406 -0.3019999861717224 3.9779999256134033 48.29999923706055 1.8229999542236328 1.8539999723434448 0.08699999749660492
7.0 7.0 28.89739990234375 28.895700454711914 4.776299953460693 28.604000091552734 17.306100845336914 -0.17299999296665192 3.9590001106262207 38.29999923706055 1.722000002861023 1.7970000505447388 0.08699999749660492
7.599999904632568 7.5 28.385400772094727 28.38360023498535 4.951900005340576 30.1028995513916 18.594900131225586 1.0429999828338623 3.690000057220459 30.799999237060547 1.628000020980835 1.7549999952316284 0.09399999678134918
8.100000381469727 8.0 27.19420051574707 27.192399978637695 5.333600044250488 33.55569839477539 21.570600509643555 2.7320001125335693 3.7790000438690186 25.200000762939453 1.5410000085830688 1.6929999589920044 0.10100000351667404
8.600000381469727 8.5 26.82270050048828 26.82080078125 5.4039998054504395 34.32659912109375 22.268999099731445 -0.1720000058412552 4.203000068664551 21.0 1.4620000123977661 1.5789999961853027 0.07400000095367432
9.100000381469727 9.0 26.548099517822266 26.546100616455078 5.429100036621094 34.711700439453125 22.645999908447266 0.5260000228881836 4.25600004196167 17.799999237060547 1.3890000581741333 1.4709999561309814 0.06199999898672104
9.600000381469727 9.5 26.417299270629883 26.41510009765625 5.428999900817871 34.809200286865234 22.760700225830078 -0.0010000000474974513 4.275000095367432 15.0 1.315000057220459 1.409999966621399 0.061000000685453415
10.100000381469727 10.0 26.311399459838867 26.309099197387695 5.426300048828125 34.86949920654297 22.839500427246094 0.0949999988079071 4.242000102996826 12.899999618530273 1.25 1.3969999551773071 0.06400000303983688
10.600000381469727 10.5 26.213300704956055 26.210899353027344 5.422599792480469 34.916900634765625 22.9060001373291 -0.10599999874830246 4.1579999923706055 11.5 1.1990000009536743 1.4299999475479126 0.07199999690055847
11.100000381469727 11.0 26.157699584960938 26.15519905090332 5.418399810791016 34.92879867553711 22.93239974975586 0.06499999761581421 4.139999866485596 10.399999618530273 1.1549999713897705 1.465000033378601 0.0820000022649765
11.600000381469727 11.5 26.0585994720459 26.055999755859375 5.410200119018555 34.94459915161133 22.975299835205078 0.004000000189989805 4.107999801635742 9.399999618530273 1.1119999885559082 1.4839999675750732 0.08500000089406967
12.100000381469727 12.0 25.96660041809082 25.963899612426758 5.406099796295166 34.985198974609375 23.034500122070312 0.14000000059604645 4.026000022888184 8.350000381469727 1.0609999895095825 1.4570000171661377 0.09099999815225601
12.600000381469727 12.5 25.902099609375 25.89929962158203 5.409299850463867 35.057098388671875 23.10890007019043 -0.07599999755620956 4.117000102996826 7.179999828338623 0.9950000047683716 1.4320000410079956 0.07800000160932541
13.100000381469727 13.0 25.881399154663086 25.87849998474121 5.42080020904541 35.15700149536133 23.19059944152832 0.32100000977516174 4.131999969482422 6.210000038146973 0.9319999814033508 1.4119999408721924 0.07999999821186066
13.600000381469727 13.5 25.85700035095215 25.854000091552734 5.426199913024902 35.2150993347168 23.24209976196289 -0.06400000303983688 4.052000045776367 5.340000152587891 0.8669999837875366 1.4190000295639038 0.09700000286102295
14.100000381469727 14.0 25.821699142456055 25.818599700927734 5.424699783325195 35.231201171875 23.265199661254883 -0.10000000149011612 4.047999858856201 4.710000038146973 0.8119999766349792 1.4429999589920044 0.10499999672174454
14.600000381469727 14.5 25.786399841308594 25.783199310302734 5.4232001304626465 35.24729919433594 23.288299560546875 -0.17000000178813934 3.9549999237060547 4.210000038146973 0.7630000114440918 1.4789999723434448 0.11100000143051147

In total, there are 26 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.
 


Related Data Counts ?

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.


 
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