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Dataset Title:  "Deepwater CTD - pe972242.ctd.nc - 29.1N, -86.84W - 1997-03-26" Subscribe RSS
Institution:  Texas A&M University, Department of Oceanography   (Dataset ID: deepwater_pe972242_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: 523)
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   523 options
    temperature ?  =  degree_C   491 options
    salinity ?  =  PSU   413 options
    oxygen ?  =  milliliters per liter   12 options
    nitrite ?  =  micromols   7 options
    nitrate ?  =  micromols   11 options
    phosphate ?  =  micromols   10 options
    silicate ?  =  micromols   13 options
    salinity2 ?  =  PSU   13 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
7.0 20.797000885009766 34.8120002746582 4.590000152587891 0.0 0.07999999821186066 0.019999999552965164 1.3300000429153442 36.10300064086914 0.0
8.0 20.788999557495117 34.81100082397461 4.619999885559082 0.0 0.07999999821186066 0.009999999776482582 1.1799999475479126 36.09299850463867 0.0
9.0 20.784000396728516 34.810001373291016 4.630000114440918 0.0 0.10999999940395355 0.0 1.1299999952316284 36.09400177001953 0.0
10.0 20.775999069213867 34.808998107910156 4.630000114440918 0.0 0.10999999940395355 0.009999999776482582 1.0499999523162842 36.09600067138672 0.0
11.0 20.7189998626709 34.77799987792969 4.75 0.009999999776482582 0.10000000149011612 0.009999999776482582 1.409999966621399 36.2859992980957 0.0
12.0 20.632999420166016 34.797000885009766 4.760000228881836 0.05999999865889549 0.03999999910593033 0.009999999776482582 0.7799999713897705 36.334999084472656 0.0
13.0 20.538000106811523 34.7869987487793 4.46999979019165 0.14000000059604645 0.029999999329447746 0.029999999329447746 0.25999999046325684 36.358001708984375 0.0
14.0 20.378000259399414 34.766998291015625 3.119999885559082 0.029999999329447746 9.100000381469727 0.44999998807907104 2.549999952316284 36.40700149536133 0.0
15.0 20.11199951171875 34.73699951171875 2.9000000953674316 0.019999999552965164 12.359999656677246 0.6200000047683716 3.4100000858306885 36.388999938964844 0.0
16.0 20.013999938964844 34.81800079345703 2.7899999618530273 0.019999999552965164 15.520000457763672 0.8100000023841858 4.590000152587891 36.22200012207031 0.0
17.0 20.118999481201172 34.952999114990234 2.9100000858306885 0.019999999552965164 19.709999084472656 1.059999942779541 6.880000114440918 35.85200119018555 0.0
18.0 20.358999252319336 35.17100143432617 2.819999933242798 0.019999999552965164 21.229999542236328 1.2000000476837158 8.069999694824219 35.73099899291992 0.0
19.0 20.427000045776367 35.33000183105469 0.0
20.0 20.66900062561035 35.525001525878906 0.0
21.0 20.783000946044922 35.63600158691406 0.0
22.0 20.77400016784668 35.70800018310547 0.0
23.0 20.77400016784668 35.808998107910156 0.0
24.0 20.73200035095215 35.8120002746582 0.0
25.0 20.65399932861328 35.803001403808594 0.0
26.0 20.618999481201172 35.797000885009766 0.0
27.0 20.611000061035156 35.79399871826172 0.0
28.0 20.597000122070312 35.79100036621094 0.0
29.0 20.590999603271484 35.78900146484375 0.0
30.0 20.586000442504883 35.7869987487793 0.0
31.0 20.577999114990234 35.78499984741211 0.0
32.0 20.570999145507812 35.78300094604492 0.0
33.0 20.55900001525879 35.779998779296875 0.0
34.0 20.549999237060547 35.814998626708984 0.0
35.0 20.684999465942383 35.926998138427734 0.0
36.0 20.722999572753906 36.0 0.0
37.0 20.783000946044922 36.02000045776367 0.0
38.0 20.79199981689453 36.02799987792969 0.0
39.0 20.78700065612793 36.0359992980957 0.0
40.0 20.773000717163086 36.051998138427734 0.0
41.0 20.757999420166016 36.064998626708984 0.0
42.0 20.753999710083008 36.06999969482422 0.0
43.0 20.750999450683594 36.07099914550781 0.0
44.0 20.72800064086914 36.07600021362305 0.0
45.0 20.714000701904297 36.08100128173828 0.0
46.0 20.701000213623047 36.09700012207031 0.0
47.0 20.750999450683594 36.1609992980957 0.0
48.0 20.820999145507812 36.20399856567383 0.0
49.0 20.801000595092773 36.198001861572266 0.0
50.0 20.695999145507812 36.189998626708984 0.0
51.0 20.687000274658203 36.20399856567383 0.0
52.0 20.62700080871582 36.17599868774414 0.0
53.0 20.40399932861328 36.14699935913086 0.0
54.0 20.381999969482422 36.15399932861328 0.0
55.0 20.339000701904297 36.14899826049805 0.0
56.0 20.219999313354492 36.1150016784668 0.0
57.0 20.139999389648438 36.1150016784668 0.0
58.0 20.131999969482422 36.11899948120117 0.0
59.0 20.10700035095215 36.12200164794922 0.0
60.0 20.18199920654297 36.15399932861328 0.0
61.0 20.15999984741211 36.14400100708008 0.0
62.0 20.11199951171875 36.14099884033203 0.0
63.0 20.104999542236328 36.14500045776367 0.0
64.0 20.089000701904297 36.14099884033203 0.0
65.0 20.065000534057617 36.13800048828125 0.0
66.0 20.045000076293945 36.138999938964844 0.0
67.0 20.038000106811523 36.14099884033203 0.0
68.0 20.02400016784668 36.14899826049805 0.0
69.0 20.006999969482422 36.15999984741211 0.0
70.0 20.01099967956543 36.16600036621094 0.0
71.0 20.006999969482422 36.16899871826172 0.0
72.0 19.975000381469727 36.172000885009766 0.0
73.0 20.013999938964844 36.20600128173828 0.0
74.0 20.018999099731445 36.21799850463867 0.0
75.0 20.054000854492188 36.237998962402344 0.0
76.0 20.0939998626709 36.25299835205078 0.0
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85.0 19.687999725341797 36.20100021362305 0.0
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88.0 19.104999542236328 36.10200119018555 0.0
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91.0 18.91699981689453 36.0989990234375 0.0
92.0 18.90399932861328 36.09700012207031 0.0
93.0 18.92799949645996 36.12900161743164 0.0
94.0 18.847999572753906 36.13399887084961 0.0
95.0 18.81100082397461 36.13199996948242 0.0
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101.0 18.711000442504883 36.25 0.0
102.0 18.6560001373291 36.2400016784668 0.0
103.0 18.5939998626709 36.257999420166016 0.0
104.0 18.589000701904297 36.27399826049805 0.0
105.0 18.624000549316406 36.29100036621094 0.0
106.0 18.60700035095215 36.3120002746582 0.0
107.0 18.573999404907227 36.334999084472656 0.0
108.0 18.479000091552734 36.332000732421875 0.0
109.0 18.41200065612793 36.32400131225586 0.0
110.0 18.263999938964844 36.297000885009766 0.0
111.0 18.128999710083008 36.28799819946289 0.0
112.0 18.062000274658203 36.28900146484375 0.0
113.0 18.045000076293945 36.29399871826172 0.0
114.0 17.979999542236328 36.29899978637695 0.0
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129.0 17.275999069213867 36.284000396728516 0.0
130.0 17.25 36.28200149536133 0.0
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141.0 16.882999420166016 36.233001708984375 0.0
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155.0 16.222000122070312 36.125 0.0
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160.0 15.944000244140625 36.08700180053711 0.0
161.0 15.875 36.077999114990234 0.0
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520.0 7.541999816894531 34.92599868774414 0.0
521.0 7.538000106811523 34.92599868774414 0.0
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526.0 7.534999847412109 34.92599868774414 0.0
527.0 7.534999847412109 34.92599868774414 0.0
528.0 7.534999847412109 34.92599868774414 0.0
529.0 7.534999847412109 34.92599868774414 0.0

In total, there are 523 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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