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Dataset Title:  "Deepwater CTD - 03252351.ctd.nc - 29.04N, -87.99W - 1977-07-21" Subscribe RSS
Institution:  Texas A&M University, Department of Oceanography   (Dataset ID: deepwater_03252351_ctd)
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: 500)
Make as many selections as you want, in any order. Each selection changes the other options (and the map and data below) accordingly.

    depth ?  =  m   500 options
    temperature ?  =  degree_C   494 options
    salinity ?  =  PSU   258 options
    oxygen ?  =  milliliters per liter   13 options
    nitrite ?  =  micromols   7 options
    nitrate ?  =  micromols   12 options
    phosphate ?  =  micromols   13 options
    silicate ?  =  micromols   13 options
    salinity2 ?  =  PSU   2 options
    qualityFlag ?  =  2 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)  

depth temperature salinity oxygen nitrite nitrate phosphate silicate salinity2 qualityFlag
m degree_C PSU milliliters per liter micromols micromols micromols micromols PSU
2.0 29.423999786376953 35.70399856567383 4.579999923706055 -99.98999786376953 -99.98999786376953 -99.98999786376953 0.20000000298023224 -99.0 0.0
4.0 29.39900016784668 35.69900131225586 4.670000076293945 -99.98999786376953 0.10000000149011612 0.009999999776482582 0.699999988079071 -99.0 0.0
6.0 29.381999969482422 35.698001861572266 4.980000019073486 -99.98999786376953 -99.98999786376953 0.019999999552965164 0.8999999761581421 -99.0 0.0
8.0 29.375 35.70399856567383 4.840000152587891 0.3199999928474426 0.30000001192092896 0.05000000074505806 1.2000000476837158 -99.0 0.0
10.0 29.215999603271484 35.75899887084961 3.640000104904175 0.5199999809265137 3.799999952316284 0.20000000298023224 1.5 -99.0 0.0
12.0 29.21500015258789 35.79199981689453 3.3499999046325684 0.3199999928474426 6.300000190734863 0.3199999928474426 1.7999999523162842 -99.0 0.0
14.0 29.231000900268555 35.80500030517578 3.1500000953674316 0.2199999988079071 9.600000381469727 0.5 2.5 -99.0 0.0
16.0 29.323999404907227 35.887001037597656 2.9800000190734863 0.11999999731779099 15.399999618530273 0.7900000214576721 4.0 -99.0 0.0
18.0 29.364999771118164 36.14799880981445 2.940000057220459 0.11999999731779099 20.399999618530273 1.090000033378601 6.400000095367432 -99.0 0.0
20.0 29.150999069213867 36.207000732421875 2.7899999618530273 0.7200000286102295 24.600000381469727 1.440000057220459 13.5 -99.0 0.0
22.0 28.65999984741211 36.23400115966797 2.609999895095825 -99.98999786376953 27.200000762939453 1.590000033378601 12.5 -99.0 0.0
24.0 28.183000564575195 36.27899932861328 2.7699999809265137 0.2199999988079071 25.899999618530273 1.5499999523162842 13.0 -99.0 0.0
26.0 27.95800018310547 36.29499816894531 0.0
28.0 27.827999114990234 36.375 0.0
30.0 27.440000534057617 36.36199951171875 0.0
32.0 27.149999618530273 36.36800003051758 0.0
34.0 26.72800064086914 36.28300094604492 0.0
36.0 26.48200035095215 36.340999603271484 0.0
38.0 26.165000915527344 36.32099914550781 0.0
40.0 25.96500015258789 36.33700180053711 0.0
42.0 25.57200050354004 36.35599899291992 0.0
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74.0 22.750999450683594 36.38199996948242 0.0
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944.0 4.991000175476074 34.90800094604492 0.0
946.0 4.988999843597412 34.904998779296875 0.0
948.0 4.984000205993652 34.90599822998047 0.0
950.0 4.979000091552734 34.90599822998047 0.0
952.0 4.97599983215332 34.90700149536133 0.0
954.0 4.973999977111816 34.90700149536133 0.0
956.0 4.9720001220703125 34.90700149536133 0.0
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960.0 4.961999893188477 34.90700149536133 0.0
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964.0 4.952000141143799 34.90599822998047 0.0
966.0 4.948999881744385 34.909000396728516 0.0
968.0 4.945000171661377 34.90700149536133 0.0
970.0 4.938000202178955 34.90599822998047 0.0
972.0 4.934999942779541 34.909000396728516 0.0
974.0 4.927000045776367 34.90599822998047 1.0
976.0 4.919000148773193 34.90999984741211 0.0
978.0 4.914000034332275 34.9109992980957 0.0
980.0 4.908999919891357 34.909000396728516 0.0
982.0 4.9070000648498535 34.909000396728516 0.0
984.0 4.9039998054504395 34.90999984741211 0.0
986.0 4.900000095367432 34.909000396728516 0.0
988.0 4.89300012588501 34.90999984741211 0.0
990.0 4.888000011444092 34.9109992980957 0.0
992.0 4.885000228881836 34.90800094604492 1.0
994.0 4.883999824523926 34.90999984741211 0.0
996.0 4.875 34.9109992980957 0.0
998.0 4.86899995803833 34.9109992980957 0.0
1000.0 4.867000102996826 34.90999984741211 0.0

In total, there are 500 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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