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Dataset Title:  "Deepwater CTD - 90g10070.ctd.nc - 28.5N, -91.93W - 1990-07-18" Subscribe RSS
Institution:  Texas A&M University, Department of Oceanography   (Dataset ID: deepwater_90g10070_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: 44)
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   44 options
    temperature ?  =  degree_C   44 options
    salinity ?  =  PSU   44 options
    oxygen ?  =  milliliters per liter   12 options
    nitrite ?  =  micromols   5 options
    nitrate ?  =  micromols   10 options
    phosphate ?  =  micromols   10 options
    silicate ?  =  micromols   12 options
    salinity2 ?  =  PSU   2 options
    qualityFlag ?  =  1 option: 0.0

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)  

depth temperature salinity oxygen nitrite nitrate phosphate silicate salinity2 qualityFlag
m degree_C PSU milliliters per liter micromols micromols micromols micromols PSU
2.0 28.294099807739258 30.877399444580078 4.519000053405762 0.009999999776482582 0.0 0.009999999776482582 2.5 -99.0 0.0
3.0 28.29330062866211 30.876800537109375 4.567999839782715 0.009999999776482582 0.10000000149011612 0.009999999776482582 2.799999952316284 -99.0 0.0
4.0 28.296100616455078 30.87529945373535 5.197000026702881 0.009999999776482582 0.10000000149011612 0.029999999329447746 2.200000047683716 -99.0 0.0
5.0 28.29319953918457 30.87470054626465 4.789000034332275 0.009999999776482582 0.10000000149011612 0.009999999776482582 2.5999999046325684 -99.0 0.0
6.0 28.29439926147461 30.875 3.311000108718872 0.07000000029802322 9.5 0.09000000357627869 4.900000095367432 -99.0 0.0
7.0 28.298900604248047 30.874099731445312 3.263000011444092 0.019999999552965164 13.0 0.7699999809265137 6.599999904632568 -99.0 0.0
8.0 28.29360008239746 30.880599975585938 3.0799999237060547 0.009999999776482582 16.0 1.059999942779541 8.600000381469727 -99.0 0.0
9.0 28.322200775146484 30.91710090637207 2.861999988555908 0.0 20.0 1.2999999523162842 11.199999809265137 -99.0 0.0
10.0 28.33370018005371 30.947500228881836 2.7039999961853027 0.009999999776482582 24.100000381469727 1.5199999809265137 14.100000381469727 -99.0 0.0
11.0 28.63129997253418 31.533599853515625 2.890000104904175 0.009999999776482582 28.799999237060547 1.7899999618530273 18.0 -99.0 0.0
12.0 29.207500457763672 33.30939865112305 2.7869999408721924 0.009999999776482582 31.700000762939453 1.9700000286102295 22.299999237060547 -99.0 0.0
13.0 29.381200790405273 33.90359878540039 0.0
14.0 29.350299835205078 34.14360046386719 0.0
15.0 29.51409912109375 34.42559814453125 0.0
16.0 29.55069923400879 34.66550064086914 0.0
17.0 29.512699127197266 34.79930114746094 0.0
18.0 29.366899490356445 34.93090057373047 0.0
19.0 29.279300689697266 34.94309997558594 0.0
20.0 28.659700393676758 35.073699951171875 0.0
21.0 28.518800735473633 35.186798095703125 0.0
22.0 28.236499786376953 35.23619842529297 0.0
23.0 27.528400421142578 35.58430099487305 0.0
24.0 27.01460075378418 35.68830108642578 0.0
25.0 26.45479965209961 35.74679946899414 0.0
26.0 26.05970001220703 35.79859924316406 0.0
27.0 25.91790008544922 35.819801330566406 0.0
28.0 25.54789924621582 35.86800003051758 0.0
29.0 25.335899353027344 35.88990020751953 0.0
30.0 25.177900314331055 35.8828010559082 0.0
31.0 25.162700653076172 35.90999984741211 0.0
32.0 25.078800201416016 35.927799224853516 0.0
33.0 25.031700134277344 35.94160079956055 0.0
34.0 24.95199966430664 35.955299377441406 0.0
35.0 24.887100219726562 35.96820068359375 0.0
36.0 24.789400100708008 35.97880172729492 0.0
37.0 24.706600189208984 35.98759841918945 0.0
38.0 24.634700775146484 35.98830032348633 0.0
39.0 24.465099334716797 36.00270080566406 0.0
40.0 24.201799392700195 36.02330017089844 0.0
41.0 23.95709991455078 36.038700103759766 0.0
42.0 23.384700775146484 36.10029983520508 0.0
43.0 22.747100830078125 36.164100646972656 0.0
44.0 22.681699752807617 36.18230056762695 0.0
45.0 22.517900466918945 36.19449996948242 0.0

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.
 


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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