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Dataset Title:  "LATEX CTD - d93f063.nc - 28.94N, 92.0W - 1993-07-29" Subscribe RSS
Institution:  Texas A&M University, Department of Oceanography   (Dataset ID: latex_d93f063)
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: 37)
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   37 options
    depth ?  =  m   37 options
    temperature ?  =  degree_C   37 options
    potentialTemperature ?  =  degree_C   37 options
    conductivity ?  =  Siemens per meter   37 options
    salinity ?  =  PSU   37 options
    sigmat ?  =  kg m-3   37 options
    descentRate ?  =  meters per second   34 options
    transmission ?  =  percent   37 options
    par ?  =  umol m-2 s-1   37 options
    parv ?  =  volts   37 options
    fluorescence ?  =  volts   35 options
    backscattering ?  =  volts   1 option: -9.0

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
1.5 1.5 32.472900390625 32.47249984741211 4.589700222015381 25.442800521850586 13.741999626159668 0.07999999821186066 3.946000099182129 203.0 2.5959999561309814 1.8279999494552612 -9.0
2.0 2.0 32.26340103149414 32.262901306152344 4.577899932861328 25.475200653076172 13.839099884033203 0.33899998664855957 3.9539999961853027 164.0 2.502000093460083 1.8279999494552612 -9.0
2.5 2.5 32.272098541259766 32.27149963378906 4.594900131225586 25.576000213623047 13.91100025177002 0.4440000057220459 3.937999963760376 131.0 2.4049999713897705 1.8539999723434448 -9.0
3.0 3.0 32.38650131225586 32.38570022583008 4.650899887084961 25.86479949951172 14.086000442504883 0.49399998784065247 3.927999973297119 109.0 2.3259999752044678 1.878999948501587 -9.0
3.5 3.5 32.120399475097656 32.11949920654297 4.665800094604492 26.094900131225586 14.349599838256836 0.4729999899864197 3.950000047683716 89.0999984741211 2.23799991607666 1.8359999656677246 -9.0
4.0 4.0 31.452199935913086 31.451200485229492 4.620200157165527 26.158000946044922 14.626999855041504 0.4350000023841858 3.9709999561309814 76.0 2.1689999103546143 1.8040000200271606 -9.0
4.5 4.5 31.027000427246094 31.02589988708496 4.59089994430542 26.19700050354004 14.80090045928955 0.4020000100135803 3.9749999046325684 66.30000305175781 2.109999895095825 1.7890000343322754 -9.0
5.0 5.0 30.982200622558594 30.980899810791016 4.593400001525879 26.2367000579834 14.845800399780273 0.45399999618530273 3.9690001010894775 58.599998474121094 2.055999994277954 1.8389999866485596 -9.0
5.5 5.5 31.065900802612305 31.06450080871582 4.6153998374938965 26.33169937133789 14.888199806213379 0.49000000953674316 3.953000068664551 51.70000076293945 2.002000093460083 1.8229999542236328 -9.0
6.0 6.0 31.01289939880371 31.01129913330078 4.616000175476074 26.36389923095703 14.93019962310791 0.460999995470047 3.9719998836517334 45.70000076293945 1.9479999542236328 1.8109999895095825 -9.0
6.5 6.5 30.51959991455078 30.51799964904785 4.625999927520752 26.694799423217773 15.343400001525879 0.39399999380111694 3.9769999980926514 39.599998474121094 1.8860000371932983 1.8179999589920044 -9.0
7.0 7.0 29.959199905395508 29.957500457763672 4.719399929046631 27.609899520874023 16.21380043029785 0.42500001192092896 3.9730000495910645 34.70000076293945 1.8289999961853027 1.9459999799728394 -9.0
7.599999904632568 7.5 29.76759910583496 29.76569938659668 4.812699794769287 28.33180046081543 16.81679916381836 0.5 3.9519999027252197 31.200000762939453 1.781999945640564 2.0980000495910645 -9.0
8.100000381469727 8.0 29.715599060058594 29.713699340820312 4.961299896240234 29.341899871826172 17.589099884033203 0.460999995470047 3.868000030517578 28.299999237060547 1.7400000095367432 2.0910000801086426 -9.0
8.600000381469727 8.5 29.80579948425293 29.803800582885742 5.073599815368652 30.030099868774414 18.07360076904297 0.36000001430511475 3.9170000553131104 25.0 1.687000036239624 1.9709999561309814 -9.0
9.100000381469727 9.0 29.616899490356445 29.614700317382812 5.106800079345703 30.36840057373047 18.389799118041992 0.4300000071525574 3.9619998931884766 22.399999618530273 1.6380000114440918 1.909000039100647 -9.0
9.600000381469727 9.5 29.591800689697266 29.589399337768555 5.165500164031982 30.77549934387207 18.702899932861328 0.46799999475479126 4.052999973297119 20.5 1.5989999771118164 1.805999994277954 -9.0
10.100000381469727 10.0 29.441299438476562 29.438800811767578 5.182300090789795 30.984600067138672 18.909500122070312 0.4050000011920929 4.15500020980835 19.0 1.5679999589920044 1.7020000219345093 -9.0
10.600000381469727 10.5 29.336599349975586 29.333999633789062 5.206600189208984 31.215299606323242 19.11709976196289 0.39100000262260437 4.177999973297119 17.5 1.531999945640564 1.6759999990463257 -9.0
11.100000381469727 11.0 28.079299926757812 28.07670021057129 5.16949987411499 31.796899795532227 19.963300704956055 0.40700000524520874 4.210999965667725 16.299999237060547 1.5 1.6979999542236328 -9.0
11.600000381469727 11.5 26.041400909423828 26.038799285888672 5.091000080108643 32.64899826049805 21.25029945373535 0.4169999957084656 4.215000152587891 15.300000190734863 1.472000002861023 1.7890000343322754 -9.0
12.100000381469727 12.0 25.48189926147461 25.47920036315918 5.126999855041504 33.31290054321289 21.923200607299805 0.4480000138282776 4.0289998054504395 14.5 1.4500000476837158 1.8769999742507935 -9.0
12.600000381469727 12.5 25.447599411010742 25.444799423217773 5.207699775695801 33.928199768066406 22.397899627685547 0.43799999356269836 3.8320000171661377 13.100000381469727 1.406999945640564 1.9079999923706055 -9.0
13.100000381469727 13.0 25.019899368286133 25.017099380493164 5.194900035858154 34.154300689697266 22.69879913330078 0.4309999942779541 3.8940000534057617 10.5 1.309000015258789 1.9119999408721924 -9.0
13.600000381469727 13.5 24.446399688720703 24.443500518798828 5.155600070953369 34.298500061035156 22.980300903320312 0.47600001096725464 3.996999979019165 8.010000228881836 1.1920000314712524 1.774999976158142 -9.0
14.100000381469727 14.0 24.045700073242188 24.042699813842773 5.133999824523926 34.44380187988281 23.209299087524414 0.49900001287460327 4.0920000076293945 6.980000019073486 1.1319999694824219 1.715999960899353 -9.0
14.600000381469727 14.5 23.497299194335938 23.494300842285156 5.107500076293945 34.6693000793457 23.541099548339844 0.4690000116825104 4.123000144958496 6.699999809265137 1.1139999628067017 1.7430000305175781 -9.0
15.100000381469727 15.0 23.059999465942383 23.056900024414062 5.078000068664551 34.78739929199219 23.75749969482422 0.45399999618530273 4.159999847412109 6.260000228881836 1.0850000381469727 1.7610000371932983 -9.0
15.600000381469727 15.5 22.64539909362793 22.642200469970703 5.051700115203857 34.91400146484375 23.97249984741211 0.4830000102519989 4.183000087738037 5.789999961853027 1.0509999990463257 1.7039999961853027 -9.0
16.100000381469727 16.0 22.52989959716797 22.526599884033203 5.041500091552734 34.927101135253906 24.015399932861328 0.46799999475479126 4.0970001220703125 5.630000114440918 1.0390000343322754 1.6449999809265137 -9.0
16.600000381469727 16.5 22.496700286865234 22.49329948425293 5.038400173187256 34.92890167236328 24.026199340820312 0.23399999737739563 3.984999895095825 5.21999979019165 1.00600004196167 1.5399999618530273 -9.0
17.100000381469727 17.0 22.49220085144043 22.488800048828125 5.039100170135498 34.9379997253418 24.034400939941406 0.15000000596046448 3.9509999752044678 4.360000133514404 0.9279999732971191 1.4570000171661377 -9.0
17.600000381469727 17.5 22.485000610351562 22.48150062561035 5.040200233459473 34.95180130004883 24.046899795532227 0.09700000286102295 3.9560000896453857 3.549999952316284 0.8379999995231628 1.3869999647140503 -9.0
18.100000381469727 18.0 22.426000595092773 22.422399520874023 5.0370001792907715 34.974700927734375 24.08099937438965 0.12099999934434891 3.9639999866485596 2.9600000381469727 0.7599999904632568 1.3860000371932983 -9.0
18.600000381469727 18.5 22.30660057067871 22.302799224853516 5.029799938201904 35.014400482177734 24.145099639892578 0.16899999976158142 4.002999782562256 2.5 0.6869999766349792 1.3839999437332153 -9.0
19.100000381469727 19.0 22.254499435424805 22.250699996948242 5.026700019836426 35.031898498535156 24.173099517822266 0.45899999141693115 4.071000099182129 2.190000057220459 0.6290000081062317 1.378999948501587 -9.0
19.600000381469727 19.5 22.202600479125977 22.198699951171875 5.02370023727417 35.04990005493164 24.201400756835938 0.45500001311302185 4.091000080108643 1.899999976158142 0.5659999847412109 1.3519999980926514 -9.0

In total, there are 37 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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