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Dataset Title:	"Deepwater CTD - 93g0105b.ctd.nc - 26.67N, -95.0W - 1993-01-00"
Institution:	Texas A&M University, Department of Oceanography   (Dataset ID: deepwater_93g0105b_ctd)
Information:	Summary | License | FGDC | ISO 19115 | Metadata | Background | Data Access Form | Files | Make a graph

Select a subset:      (Current number of distinct combinations of matching data: 104)
Make as many selections as you want, in any order. Each selection changes the other options (and the map and data below) accordingly.

depth	= (ANY) 4.0 5.0 6.0 7.0 8.0 9.0 10.0 11.0 12.0 13.0 14.0 15.0 16.0 17.0 18.0 19.0 20.0 21.0 22.0 23.0 24.0 25.0 26.0 27.0 28.0 29.0 30.0 31.0 32.0 33.0 34.0 35.0 36.0 37.0 38.0 39.0 40.0 41.0 42.0 43.0 44.0 45.0 46.0 47.0 48.0 49.0 50.0 51.0 52.0 53.0 54.0 55.0 56.0 57.0 58.0 59.0 60.0 62.0 63.0 64.0 65.0 66.0 67.0 68.0 69.0 70.0 71.0 72.0 73.0 74.0 75.0 77.0 78.0 79.0 80.0 81.0 82.0 83.0 84.0 85.0 86.0 87.0 88.0 89.0 90.0 91.0 92.0 93.0 94.0 95.0 96.0 98.0 99.0 100.0 101.0 102.0 103.0 104.0 105.0 106.0 107.0 108.0 109.0 110.0  m	104 options
temperature	= (ANY) 23.84480094909668 23.84510040283203 23.845500946044922 23.845600128173828 23.84589958190918 23.84600067138672 23.846099853515625 23.846399307250977 23.846900939941406 23.847000122070312 23.84709930419922 23.847200393676758 23.847299575805664 23.847400665283203 23.84749984741211 23.84760093688965 23.847700119018555 23.84779930114746 23.84830093383789 23.848600387573242 23.84869956970215 23.84910011291504 23.849199295043945 23.849300384521484 23.84950065612793 23.849599838256836 23.849700927734375 23.849899291992188 23.850200653076172 23.850299835205078 23.850500106811523 23.85070037841797 23.851200103759766 23.851499557495117 23.851600646972656 23.851699829101562 23.8518009185791 23.851999282836914 23.85219955444336 23.852500915527344 23.85260009765625 23.85300064086914 23.853200912475586 23.85379981994629 23.854299545288086 23.854700088500977 23.854999542236328 23.85540008544922 23.855600357055664 23.85580062866211 23.855899810791016 23.856000900268555 23.856300354003906 23.856399536132812 23.856599807739258 23.862600326538086 23.862699508666992 23.864200592041016 23.86479949951172 23.86639976501465 23.871000289916992 23.871200561523438 23.874099731445312 23.87700080871582 23.881500244140625 23.88479995727539 23.88520050048828 23.885299682617188 23.885700225830078 23.886999130249023 23.887300491333008 23.887699127197266 23.88789939880371 23.88800048828125 23.888700485229492 23.8887996673584 23.889400482177734 23.88949966430664 23.890100479125977 23.890499114990234  degree_C	80 options
salinity	= (ANY) 36.38819885253906 36.388301849365234 36.38840103149414 36.38850021362305 36.38859939575195 36.38869857788086 36.38880157470703 36.38890075683594 36.388999938964844 36.38909912109375 36.389198303222656 36.38930130004883 36.389400482177734 36.38949966430664 36.38959884643555 36.38970184326172 36.389801025390625 36.38990020751953 36.38999938964844 36.390098571777344 36.390201568603516 36.39030075073242 36.39039993286133 36.390499114990234 36.39059829711914 36.39070129394531 36.39080047607422 36.390899658203125  PSU	28 options
oxygen	= (ANY) 2.5999999046325684 3.0810000896453857 3.822000026702881 4.620999813079834 4.756999969482422 4.7769999504089355 4.788000106811523 4.790999889373779 4.804999828338623 4.823999881744385 4.953999996185303  milliliters per liter	12 options
nitrite	= (ANY) 0.0 0.009999999776482582 0.05999999865889549  micromols per liter	4 options
nitrate	= (ANY) 0.0 0.10000000149011612 0.20000000298023224 0.30000001192092896 11.5 23.100000381469727 24.399999618530273 25.899999618530273 27.700000762939453  micromols	10 options
phosphate	= (ANY) 0.019999999552965164 0.029999999329447746 0.03999999910593033 0.5899999737739563 1.6200000047683716 1.6799999475479126 1.7200000286102295 1.9700000286102295  micromols per liter	9 options
silicate	= (ANY) 2.299999952316284 2.700000047683716 3.4000000953674316 4.599999904632568 5.300000190734863 7.800000190734863 8.399999618530273 14.5 26.399999618530273 26.5 26.700000762939453  micromols per liter	12 options
salinity2	= (ANY) -99.0  PSU	2 options
qualityFlag	= (ANY) 0.0	1 option: 0.0

View:      Map of All Related Data      Distinct Data Counts     Distinct Data  0 10 100 1000 10000 100000      Related Data Counts     Related Data  0 10 100 1000 10000 100000

 

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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.
 

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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.
 

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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 per liter	micromols	micromols per liter	micromols per liter	PSU
4.0	23.885299682617188	36.38840103149414	4.823999881744385	0.05999999865889549	0.30000001192092896	0.03999999910593033	8.399999618530273	-99.0	0.0
5.0	23.88479995727539	36.38859939575195	4.804999828338623	0.05999999865889549	0.20000000298023224	0.029999999329447746	7.800000190734863	-99.0	0.0
6.0	23.886999130249023	36.388301849365234	4.790999889373779	0.05999999865889549	0.20000000298023224	0.019999999552965164	5.300000190734863	-99.0	0.0
7.0	23.887699127197266	36.38819885253906	4.756999969482422	0.05999999865889549	0.10000000149011612	0.029999999329447746	3.4000000953674316	-99.0	0.0
8.0	23.8887996673584	36.38819885253906	4.7769999504089355	0.05999999865889549	0.10000000149011612	0.029999999329447746	2.700000047683716	-99.0	0.0
9.0	23.888700485229492	36.38840103149414	4.790999889373779	0.05999999865889549	0.10000000149011612	0.019999999552965164	2.299999952316284	-99.0	0.0
10.0	23.88800048828125	36.38819885253906	4.788000106811523	0.05999999865889549	0.0	0.019999999552965164	2.299999952316284	-99.0	0.0
11.0	23.88800048828125	36.38819885253906	3.0810000896453857	0.009999999776482582	11.5	0.5899999737739563	4.599999904632568	-99.0	0.0
12.0	23.887300491333008	36.38840103149414	2.5999999046325684	0.0	25.899999618530273	1.6799999475479126	14.5	-99.0	0.0
13.0	23.88789939880371	36.38840103149414	3.822000026702881	0.0	27.700000762939453	1.9700000286102295	26.399999618530273	-99.0	0.0
14.0	23.887699127197266	36.38840103149414	4.620999813079834	0.0	24.399999618530273	1.7200000286102295	26.700000762939453	-99.0	0.0
15.0	23.88789939880371	36.38850021362305	4.953999996185303	0.009999999776482582	23.100000381469727	1.6200000047683716	26.5	-99.0	0.0
16.0	23.889400482177734	36.38850021362305							0.0
17.0	23.890100479125977	36.38869857788086							0.0
18.0	23.890499114990234	36.38850021362305							0.0
19.0	23.890499114990234	36.38850021362305							0.0
20.0	23.88949966430664	36.38890075683594							0.0
21.0	23.88520050048828	36.38949966430664							0.0
22.0	23.885700225830078	36.38959884643555							0.0
23.0	23.881500244140625	36.390201568603516							0.0
24.0	23.87700080871582	36.390899658203125							0.0
25.0	23.874099731445312	36.39080047607422							0.0
26.0	23.871000289916992	36.390899658203125							0.0
27.0	23.871200561523438	36.39039993286133							0.0
28.0	23.86479949951172	36.39059829711914							0.0
29.0	23.864200592041016	36.39059829711914							0.0
30.0	23.86639976501465	36.39070129394531							0.0
31.0	23.862600326538086	36.390499114990234							0.0
32.0	23.862699508666992	36.39039993286133							0.0
33.0	23.85580062866211	36.390201568603516							0.0
34.0	23.851699829101562	36.390201568603516							0.0
35.0	23.851499557495117	36.38999938964844							0.0
36.0	23.851600646972656	36.390201568603516							0.0
37.0	23.8518009185791	36.38990020751953							0.0
38.0	23.8518009185791	36.390201568603516							0.0
39.0	23.8518009185791	36.38999938964844							0.0
40.0	23.850500106811523	36.38999938964844							0.0
41.0	23.849599838256836	36.38999938964844							0.0
42.0	23.84950065612793	36.38999938964844							0.0
43.0	23.84950065612793	36.390098571777344							0.0
44.0	23.84950065612793	36.390201568603516							0.0
45.0	23.849700927734375	36.38999938964844							0.0
46.0	23.849199295043945	36.390098571777344							0.0
47.0	23.84869956970215	36.38999938964844							0.0
48.0	23.84910011291504	36.390201568603516							0.0
49.0	23.848600387573242	36.38970184326172							0.0
50.0	23.847700119018555	36.38970184326172							0.0
51.0	23.84749984741211	36.38970184326172							0.0
52.0	23.847000122070312	36.38949966430664							0.0
53.0	23.846900939941406	36.389400482177734							0.0
54.0	23.847200393676758	36.38949966430664							0.0
55.0	23.847400665283203	36.38949966430664							0.0
56.0	23.84760093688965	36.389400482177734							0.0
57.0	23.847299575805664	36.389400482177734							0.0
58.0	23.847200393676758	36.38949966430664							0.0
59.0	23.845600128173828	36.388999938964844							0.0
60.0	23.845600128173828	36.38880157470703							0.0
62.0	23.84480094909668	36.38890075683594							0.0
63.0	23.84510040283203	36.388999938964844							0.0
64.0	23.845500946044922	36.38869857788086							0.0
65.0	23.84589958190918	36.38869857788086							0.0
66.0	23.84600067138672	36.38880157470703							0.0
67.0	23.846099853515625	36.38880157470703							0.0
68.0	23.846099853515625	36.38869857788086							0.0
69.0	23.846399307250977	36.38869857788086							0.0
70.0	23.846399307250977	36.38880157470703							0.0
71.0	23.84709930419922	36.38859939575195							0.0
72.0	23.846900939941406	36.388999938964844							0.0
73.0	23.847400665283203	36.38880157470703							0.0
74.0	23.84779930114746	36.388999938964844							0.0
75.0	23.84830093383789	36.38930130004883							0.0
77.0	23.849300384521484	36.38970184326172							0.0
78.0	23.849700927734375	36.38949966430664							0.0
79.0	23.850200653076172	36.38999938964844							0.0
80.0	23.850299835205078	36.389801025390625							0.0
81.0	23.850200653076172	36.38949966430664							0.0
82.0	23.850200653076172	36.389400482177734							0.0
83.0	23.849899291992188	36.38909912109375							0.0
84.0	23.849700927734375	36.388999938964844							0.0
85.0	23.849899291992188	36.38909912109375							0.0
86.0	23.850200653076172	36.389198303222656							0.0
87.0	23.85070037841797	36.38930130004883							0.0
88.0	23.851200103759766	36.389400482177734							0.0
89.0	23.851499557495117	36.38949966430664							0.0
90.0	23.851999282836914	36.389801025390625							0.0
91.0	23.85219955444336	36.38990020751953							0.0
92.0	23.852500915527344	36.38990020751953							0.0
93.0	23.85260009765625	36.38999938964844							0.0
94.0	23.85300064086914	36.389801025390625							0.0
95.0	23.853200912475586	36.38999938964844							0.0
96.0	23.85379981994629	36.38999938964844							0.0
98.0	23.854299545288086	36.390201568603516							0.0
99.0	23.854700088500977	36.39030075073242							0.0
100.0	23.854999542236328	36.39030075073242							0.0
101.0	23.85540008544922	36.390499114990234							0.0
102.0	23.855600357055664	36.39030075073242							0.0
103.0	23.855899810791016	36.39039993286133							0.0
104.0	23.856300354003906	36.39039993286133							0.0
105.0	23.856000900268555	36.39030075073242							0.0
106.0	23.856399536132812	36.39030075073242							0.0
107.0	23.856599807739258	36.390201568603516							0.0
108.0	23.856599807739258	36.390201568603516							0.0
109.0	23.856300354003906	36.390201568603516							0.0
110.0	23.856399536132812	36.390201568603516							0.0

In total, there are 104 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.
 

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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.
 

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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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