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Dataset Title:  "Deepwater CTD - pe972203.ctd.nc - 28.82N, -88.96W - 1997-03-19" Subscribe RSS
Institution:  Texas A&M University, Department of Oceanography   (Dataset ID: deepwater_pe972203_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: 444)
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   444 options
    temperature ?  =  degree_C   411 options
    salinity ?  =  PSU   332 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
6.0 22.613000869750977 36.37200164794922 4.590000152587891 0.0 0.07999999821186066 0.019999999552965164 1.3300000429153442 36.10300064086914 0.0
7.0 22.610000610351562 36.37200164794922 4.619999885559082 0.0 0.07999999821186066 0.009999999776482582 1.1799999475479126 36.09299850463867 0.0
8.0 22.608999252319336 36.37200164794922 4.630000114440918 0.0 0.10999999940395355 0.0 1.1299999952316284 36.09400177001953 0.0
9.0 22.60700035095215 36.37200164794922 4.630000114440918 0.0 0.10999999940395355 0.009999999776482582 1.0499999523162842 36.09600067138672 0.0
10.0 22.60700035095215 36.37200164794922 4.75 0.009999999776482582 0.10000000149011612 0.009999999776482582 1.409999966621399 36.2859992980957 0.0
11.0 22.606000900268555 36.37200164794922 4.760000228881836 0.05999999865889549 0.03999999910593033 0.009999999776482582 0.7799999713897705 36.334999084472656 0.0
12.0 22.60700035095215 36.37300109863281 4.46999979019165 0.14000000059604645 0.029999999329447746 0.029999999329447746 0.25999999046325684 36.358001708984375 0.0
13.0 22.606000900268555 36.37200164794922 3.119999885559082 0.029999999329447746 9.100000381469727 0.44999998807907104 2.549999952316284 36.40700149536133 0.0
14.0 22.607999801635742 36.37200164794922 2.9000000953674316 0.019999999552965164 12.359999656677246 0.6200000047683716 3.4100000858306885 36.388999938964844 0.0
15.0 22.608999252319336 36.37200164794922 2.7899999618530273 0.019999999552965164 15.520000457763672 0.8100000023841858 4.590000152587891 36.22200012207031 0.0
16.0 22.608999252319336 36.37200164794922 2.9100000858306885 0.019999999552965164 19.709999084472656 1.059999942779541 6.880000114440918 35.85200119018555 0.0
17.0 22.610000610351562 36.37200164794922 2.819999933242798 0.019999999552965164 21.229999542236328 1.2000000476837158 8.069999694824219 35.73099899291992 0.0
18.0 22.610000610351562 36.37200164794922 0.0
19.0 22.610000610351562 36.37200164794922 0.0
20.0 22.61199951171875 36.37200164794922 0.0
21.0 22.61199951171875 36.37200164794922 0.0
22.0 22.601999282836914 36.369998931884766 0.0
23.0 22.56399917602539 36.36800003051758 0.0
24.0 22.548999786376953 36.36800003051758 0.0
25.0 22.545000076293945 36.36800003051758 0.0
26.0 22.545000076293945 36.36899948120117 0.0
27.0 22.540000915527344 36.36800003051758 0.0
28.0 22.538999557495117 36.36899948120117 0.0
29.0 22.540000915527344 36.36899948120117 0.0
30.0 22.538000106811523 36.36800003051758 0.0
31.0 22.53499984741211 36.36800003051758 0.0
32.0 22.52899932861328 36.36800003051758 0.0
33.0 22.525999069213867 36.36800003051758 0.0
34.0 22.523000717163086 36.36899948120117 0.0
35.0 22.520000457763672 36.36899948120117 0.0
36.0 22.481000900268555 36.37300109863281 0.0
37.0 22.34600067138672 36.3849983215332 0.0
38.0 22.249000549316406 36.39699935913086 0.0
39.0 22.194000244140625 36.40800094604492 0.0
40.0 22.118000030517578 36.415000915527344 0.0
41.0 22.006999969482422 36.40700149536133 0.0
42.0 21.941999435424805 36.40599822998047 0.0
43.0 21.92799949645996 36.40599822998047 0.0
44.0 21.908000946044922 36.40299987792969 0.0
45.0 21.875 36.402000427246094 0.0
46.0 21.857999801635742 36.39799880981445 0.0
47.0 21.854999542236328 36.40299987792969 0.0
48.0 21.851999282836914 36.40299987792969 0.0
49.0 21.843000411987305 36.4010009765625 0.0
50.0 21.799999237060547 36.39099884033203 0.0
51.0 21.74799919128418 36.37900161743164 0.0
52.0 21.586000442504883 36.33700180053711 0.0
53.0 21.47599983215332 36.32400131225586 0.0
54.0 21.479999542236328 36.3390007019043 0.0
55.0 21.452999114990234 36.34299850463867 0.0
56.0 21.399999618530273 36.33599853515625 0.0
57.0 21.363000869750977 36.332000732421875 0.0
58.0 21.360000610351562 36.33100128173828 0.0
59.0 21.35099983215332 36.32899856567383 0.0
60.0 21.33300018310547 36.32500076293945 0.0
61.0 21.322999954223633 36.32400131225586 0.0
62.0 21.2450008392334 36.310001373291016 0.0
63.0 21.124000549316406 36.29399871826172 0.0
64.0 21.097000122070312 36.29199981689453 0.0
65.0 21.073999404907227 36.290000915527344 0.0
66.0 21.040000915527344 36.29100036621094 0.0
67.0 21.013999938964844 36.28900146484375 0.0
68.0 21.000999450683594 36.2869987487793 0.0
69.0 20.98900032043457 36.28499984741211 0.0
70.0 20.976999282836914 36.284000396728516 0.0
71.0 20.9689998626709 36.284000396728516 0.0
72.0 20.952999114990234 36.28200149536133 0.0
73.0 20.930999755859375 36.28499984741211 0.0
74.0 20.922000885009766 36.28499984741211 0.0
75.0 20.913999557495117 36.28499984741211 0.0
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85.0 20.739999771118164 36.284000396728516 0.0
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87.0 20.694000244140625 36.2869987487793 0.0
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89.0 20.632999420166016 36.29600143432617 0.0
90.0 20.63599967956543 36.29800033569336 0.0
91.0 20.645999908447266 36.31100082397461 0.0
92.0 20.660999298095703 36.32099914550781 0.0
93.0 20.66900062561035 36.32699966430664 0.0
94.0 20.658000946044922 36.33300018310547 0.0
95.0 20.61199951171875 36.32500076293945 0.0
96.0 20.586000442504883 36.321998596191406 0.0
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101.0 20.433000564575195 36.3120002746582 0.0
102.0 20.42300033569336 36.3120002746582 0.0
103.0 20.413000106811523 36.316001892089844 0.0
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105.0 20.36199951171875 36.32500076293945 0.0
106.0 20.384000778198242 36.36000061035156 0.0
107.0 20.415000915527344 36.388999938964844 0.0
108.0 20.322999954223633 36.38199996948242 0.0
109.0 20.27400016784668 36.404998779296875 0.0
110.0 20.236000061035156 36.43000030517578 0.0
111.0 20.172000885009766 36.44200134277344 0.0
112.0 19.992000579833984 36.44499969482422 0.0
113.0 19.88800048828125 36.45100021362305 0.0
114.0 19.775999069213867 36.44499969482422 0.0
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116.0 19.534000396728516 36.45800018310547 0.0
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124.0 18.99799919128418 36.439998626708984 0.0
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126.0 18.868999481201172 36.433998107910156 0.0
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128.0 18.768999099731445 36.43199920654297 0.0
129.0 18.711000442504883 36.426998138427734 0.0
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131.0 18.507999420166016 36.415000915527344 0.0
132.0 18.472000122070312 36.4109992980957 0.0
133.0 18.409000396728516 36.39400100708008 0.0
134.0 18.332000732421875 36.391998291015625 0.0
135.0 18.270999908447266 36.38800048828125 0.0
136.0 18.229999542236328 36.3849983215332 0.0
137.0 18.195999145507812 36.38600158691406 0.0
138.0 18.152000427246094 36.37900161743164 0.0
139.0 17.983999252319336 36.34700012207031 0.0
140.0 17.777999877929688 36.32899856567383 0.0
141.0 17.69099998474121 36.319000244140625 0.0
142.0 17.600000381469727 36.3120002746582 0.0
143.0 17.51799964904785 36.31100082397461 0.0
144.0 17.476999282836914 36.310001373291016 0.0
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153.0 17.18899917602539 36.277000427246094 0.0
154.0 17.11199951171875 36.26599884033203 0.0
155.0 17.02199935913086 36.25699996948242 0.0
156.0 16.97599983215332 36.25 0.0
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158.0 16.89299964904785 36.233001708984375 0.0
159.0 16.768999099731445 36.220001220703125 0.0
160.0 16.742000579833984 36.21699905395508 0.0
161.0 16.711000442504883 36.21200180053711 0.0
162.0 16.576000213623047 36.1879997253418 0.0
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322.0 10.571999549865723 35.27199935913086 0.0
323.0 10.567999839782715 35.270999908447266 0.0
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327.0 10.524999618530273 35.263999938964844 0.0
328.0 10.508999824523926 35.26100158691406 0.0
329.0 10.46399974822998 35.255001068115234 0.0
330.0 10.420999526977539 35.25 0.0
331.0 10.40999984741211 35.24700164794922 0.0
332.0 10.32699966430664 35.236000061035156 0.0
333.0 10.312999725341797 35.23699951171875 0.0
334.0 10.307999610900879 35.23500061035156 0.0
335.0 10.300999641418457 35.23400115966797 0.0
336.0 10.300999641418457 35.233001708984375 0.0
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338.0 10.253999710083008 35.22700119018555 0.0
339.0 10.24899959564209 35.22600173950195 0.0
340.0 10.23799991607666 35.224998474121094 0.0
341.0 10.234999656677246 35.2239990234375 0.0
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343.0 10.22599983215332 35.22200012207031 0.0
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345.0 10.178999900817871 35.21500015258789 0.0
346.0 10.145999908447266 35.21099853515625 0.0
347.0 10.102999687194824 35.20600128173828 0.0
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350.0 10.052000045776367 35.19900131225586 0.0
351.0 10.01099967956543 35.194000244140625 0.0
352.0 10.0 35.19300079345703 0.0
353.0 9.993000030517578 35.19200134277344 0.0
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357.0 9.89799976348877 35.18000030517578 0.0
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361.0 9.840999603271484 35.17100143432617 0.0
362.0 9.82699966430664 35.167999267578125 0.0
363.0 9.795999526977539 35.16600036621094 0.0
364.0 9.791999816894531 35.165000915527344 0.0
365.0 9.782999992370605 35.16400146484375 0.0
366.0 9.777999877929688 35.16299819946289 0.0
367.0 9.77299976348877 35.1619987487793 0.0
368.0 9.762999534606934 35.1609992980957 0.0
369.0 9.755999565124512 35.15999984741211 0.0
370.0 9.755999565124512 35.15999984741211 0.0
371.0 9.75 35.159000396728516 0.0
372.0 9.744999885559082 35.15800094604492 0.0
373.0 9.727999687194824 35.15599822998047 0.0
374.0 9.694999694824219 35.152000427246094 0.0
375.0 9.685999870300293 35.1510009765625 0.0
376.0 9.673999786376953 35.14899826049805 0.0
377.0 9.670999526977539 35.14899826049805 0.0
378.0 9.668999671936035 35.14799880981445 0.0
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380.0 9.666999816894531 35.14799880981445 0.0
381.0 9.664999961853027 35.14799880981445 0.0
382.0 9.663999557495117 35.14799880981445 0.0
383.0 9.663999557495117 35.14799880981445 0.0
384.0 9.663999557495117 35.14699935913086 0.0
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386.0 9.661999702453613 35.14699935913086 0.0
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388.0 9.657999992370605 35.14699935913086 0.0
389.0 9.656999588012695 35.145999908447266 0.0
390.0 9.654999732971191 35.145999908447266 0.0
391.0 9.654999732971191 35.145999908447266 0.0
392.0 9.654999732971191 35.145999908447266 0.0
393.0 9.654999732971191 35.145999908447266 0.0
394.0 9.654999732971191 35.145999908447266 0.0
395.0 9.654999732971191 35.145999908447266 0.0
396.0 9.654999732971191 35.145999908447266 0.0
397.0 9.652999877929688 35.14500045776367 0.0
398.0 9.651000022888184 35.14500045776367 0.0
399.0 9.649999618530273 35.14500045776367 0.0
400.0 9.64799976348877 35.14500045776367 0.0
401.0 9.645000457763672 35.14400100708008 0.0
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404.0 9.638999938964844 35.14400100708008 0.0
405.0 9.63599967956543 35.143001556396484 0.0
406.0 9.58899974822998 35.13600158691406 0.0
407.0 9.541999816894531 35.13199996948242 0.0
408.0 9.53499984741211 35.13100051879883 0.0
409.0 9.531999588012695 35.13100051879883 0.0
410.0 9.506999969482422 35.12699890136719 0.0
411.0 9.48799991607666 35.125 0.0
412.0 9.482999801635742 35.124000549316406 0.0
413.0 9.479999542236328 35.124000549316406 0.0
414.0 9.472999572753906 35.12300109863281 0.0
415.0 9.45199966430664 35.119998931884766 0.0
416.0 9.444999694824219 35.11899948120117 0.0
417.0 9.4399995803833 35.11899948120117 0.0
418.0 9.4399995803833 35.11800003051758 0.0
419.0 9.437999725341797 35.11800003051758 0.0
420.0 9.437999725341797 35.11800003051758 0.0
421.0 9.434000015258789 35.117000579833984 0.0
422.0 9.427000045776367 35.11600112915039 0.0
423.0 9.413999557495117 35.1150016784668 0.0
424.0 9.39799976348877 35.112998962402344 0.0
425.0 9.392999649047852 35.11199951171875 0.0
426.0 9.390999794006348 35.11199951171875 0.0
427.0 9.387999534606934 35.11199951171875 0.0
428.0 9.381999969482422 35.11000061035156 0.0
429.0 9.359999656677246 35.108001708984375 0.0
430.0 9.345999717712402 35.106998443603516 0.0
431.0 9.343999862670898 35.10599899291992 0.0
432.0 9.347999572753906 35.106998443603516 0.0
433.0 9.347999572753906 35.10599899291992 0.0
434.0 9.343999862670898 35.10599899291992 0.0
435.0 9.33899974822998 35.10599899291992 0.0
436.0 9.329999923706055 35.10499954223633 0.0
437.0 9.32699966430664 35.104000091552734 0.0
438.0 9.317999839782715 35.10300064086914 0.0
439.0 9.319999694824219 35.10300064086914 0.0
440.0 9.321999549865723 35.104000091552734 0.0
441.0 9.32699966430664 35.10300064086914 0.0
442.0 9.319999694824219 35.10300064086914 0.0
443.0 9.315999984741211 35.10300064086914 0.0
444.0 9.317999839782715 35.10300064086914 0.0
445.0 9.312999725341797 35.10200119018555 0.0
446.0 9.303000450134277 35.10100173950195 0.0
447.0 9.295999526977539 35.099998474121094 0.0
448.0 9.291999816894531 35.0989990234375 0.0
449.0 9.289999961853027 35.0989990234375 0.0

In total, there are 444 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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