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Dataset Title:  "Deepwater CTD - 06941315.bdo.nc - 25.48N, -84.53W - 1982-00-14" Subscribe RSS
Institution:  Texas A&M University, Department of Oceanography   (Dataset ID: deepwater_06941315_bdo)
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: 212)
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   212 options
    temperature ?  =  degree_C   194 options
    salinity ?  =  PSU   79 options
    oxygen ?  =  not-measured   1 option:
    nitrite ?  =  not-measured   1 option:
    nitrate ?  =  not-measured   1 option:
    phosphate ?  =  not-measured   1 option:
    silicate ?  =  not-measured   1 option:
    salinity2 ?  =  PSU   1 option:
    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 not-measured not-measured not-measured not-measured not-measured PSU
1.0 28.90999984741211 35.650001525878906 0.0
2.0 28.93000030517578 35.66999816894531 0.0
3.0 28.940000534057617 35.689998626708984 0.0
4.0 28.950000762939453 35.720001220703125 0.0
5.0 28.969999313354492 35.7599983215332 0.0
6.0 28.979999542236328 35.779998779296875 0.0
7.0 28.969999313354492 35.79999923706055 0.0
8.0 28.969999313354492 35.810001373291016 0.0
9.0 28.969999313354492 35.810001373291016 0.0
10.0 28.969999313354492 35.810001373291016 0.0
11.0 28.989999771118164 35.810001373291016 0.0
12.0 28.989999771118164 35.810001373291016 0.0
13.0 29.0 35.810001373291016 0.0
14.0 29.0 35.81999969482422 0.0
15.0 29.040000915527344 35.83000183105469 0.0
16.0 29.059999465942383 35.86000061035156 0.0
17.0 29.06999969482422 35.939998626708984 0.0
18.0 29.079999923706055 35.9900016784668 0.0
19.0 29.100000381469727 36.0099983215332 0.0
20.0 29.149999618530273 36.029998779296875 0.0
21.0 29.149999618530273 36.04999923706055 0.0
22.0 29.100000381469727 36.06999969482422 0.0
23.0 29.020000457763672 36.09000015258789 0.0
24.0 28.969999313354492 36.099998474121094 0.0
25.0 28.850000381469727 36.099998474121094 0.0
26.0 28.829999923706055 36.099998474121094 0.0
27.0 28.68000030517578 36.099998474121094 0.0
28.0 28.510000228881836 36.099998474121094 0.0
29.0 28.420000076293945 36.11000061035156 0.0
30.0 28.389999389648438 36.130001068115234 0.0
31.0 28.3700008392334 36.189998626708984 0.0
32.0 28.31999969482422 36.20000076293945 0.0
33.0 28.280000686645508 36.209999084472656 0.0
34.0 28.209999084472656 36.209999084472656 0.0
35.0 28.149999618530273 36.209999084472656 0.0
36.0 28.100000381469727 36.20000076293945 0.0
37.0 28.030000686645508 36.189998626708984 0.0
38.0 27.90999984741211 36.18000030517578 0.0
39.0 27.739999771118164 36.18000030517578 0.0
40.0 27.6200008392334 36.20000076293945 0.0
41.0 27.440000534057617 36.220001220703125 0.0
42.0 27.350000381469727 36.22999954223633 0.0
43.0 27.350000381469727 36.22999954223633 0.0
44.0 27.329999923706055 36.2400016784668 0.0
45.0 27.260000228881836 36.2599983215332 0.0
46.0 27.18000030517578 36.27000045776367 0.0
47.0 27.15999984741211 36.279998779296875 0.0
48.0 27.139999389648438 36.27000045776367 0.0
49.0 27.110000610351562 36.27000045776367 0.0
50.0 27.110000610351562 36.27000045776367 0.0
51.0 27.100000381469727 36.279998779296875 0.0
52.0 27.059999465942383 36.279998779296875 0.0
53.0 26.860000610351562 36.290000915527344 0.0
54.0 26.81999969482422 36.310001373291016 0.0
55.0 26.760000228881836 36.33000183105469 0.0
56.0 26.639999389648438 36.34000015258789 0.0
57.0 26.579999923706055 36.33000183105469 0.0
58.0 26.540000915527344 36.34000015258789 0.0
59.0 26.420000076293945 36.36000061035156 0.0
60.0 26.209999084472656 36.369998931884766 0.0
61.0 26.100000381469727 36.369998931884766 0.0
62.0 25.979999542236328 36.36000061035156 0.0
63.0 25.809999465942383 36.369998931884766 0.0
64.0 25.68000030517578 36.38999938964844 0.0
65.0 25.579999923706055 36.40999984741211 0.0
66.0 25.389999389648438 36.45000076293945 0.0
67.0 25.31999969482422 36.470001220703125 0.0
68.0 25.209999084472656 36.47999954223633 0.0
69.0 25.100000381469727 36.47999954223633 0.0
70.0 25.059999465942383 36.4900016784668 0.0
71.0 24.940000534057617 36.5 0.0
72.0 24.90999984741211 36.5099983215332 0.0
73.0 24.889999389648438 36.529998779296875 0.0
74.0 24.8799991607666 36.54999923706055 0.0
75.0 24.8700008392334 36.56999969482422 0.0
76.0 24.790000915527344 36.59000015258789 0.0
77.0 24.68000030517578 36.599998474121094 0.0
78.0 24.540000915527344 36.619998931884766 0.0
79.0 24.280000686645508 36.630001068115234 0.0
80.0 24.110000610351562 36.630001068115234 0.0
81.0 24.040000915527344 36.599998474121094 0.0
82.0 24.0 36.59000015258789 0.0
83.0 23.899999618530273 36.599998474121094 0.0
84.0 23.860000610351562 36.61000061035156 0.0
85.0 23.81999969482422 36.619998931884766 0.0
86.0 23.780000686645508 36.63999938964844 0.0
87.0 23.770000457763672 36.66999816894531 0.0
88.0 23.75 36.70000076293945 0.0
89.0 23.59000015258789 36.7400016784668 0.0
90.0 23.420000076293945 36.7599983215332 0.0
91.0 23.280000686645508 36.7599983215332 0.0
92.0 23.170000076293945 36.7599983215332 0.0
93.0 23.040000915527344 36.7599983215332 0.0
94.0 22.969999313354492 36.7599983215332 0.0
95.0 22.889999389648438 36.77000045776367 0.0
96.0 22.829999923706055 36.779998779296875 0.0
97.0 22.739999771118164 36.77000045776367 0.0
98.0 22.65999984741211 36.77000045776367 0.0
99.0 22.610000610351562 36.77000045776367 0.0
100.0 22.56999969482422 36.77000045776367 0.0
101.0 22.530000686645508 36.7599983215332 0.0
102.0 22.43000030517578 36.75 0.0
103.0 22.299999237060547 36.7599983215332 0.0
104.0 22.190000534057617 36.7599983215332 0.0
105.0 22.06999969482422 36.7400016784668 0.0
106.0 21.90999984741211 36.709999084472656 0.0
107.0 21.790000915527344 36.689998626708984 0.0
108.0 21.729999542236328 36.66999816894531 0.0
109.0 21.690000534057617 36.65999984741211 0.0
110.0 21.520000457763672 36.650001525878906 0.0
111.0 21.43000030517578 36.650001525878906 0.0
112.0 21.329999923706055 36.650001525878906 0.0
113.0 21.229999542236328 36.650001525878906 0.0
114.0 21.209999084472656 36.63999938964844 0.0
115.0 21.110000610351562 36.619998931884766 0.0
116.0 21.040000915527344 36.61000061035156 0.0
117.0 20.950000762939453 36.61000061035156 0.0
118.0 20.889999389648438 36.61000061035156 0.0
119.0 20.770000457763672 36.61000061035156 0.0
120.0 20.709999084472656 36.599998474121094 0.0
121.0 20.469999313354492 36.56999969482422 0.0
122.0 20.079999923706055 36.540000915527344 0.0
123.0 19.8799991607666 36.5 0.0
124.0 19.790000915527344 36.47999954223633 0.0
125.0 19.709999084472656 36.47999954223633 0.0
126.0 19.68000030517578 36.47999954223633 0.0
127.0 19.600000381469727 36.4900016784668 0.0
128.0 19.5 36.47999954223633 0.0
129.0 19.479999542236328 36.470001220703125 0.0
130.0 19.420000076293945 36.45000076293945 0.0
131.0 19.3799991607666 36.439998626708984 0.0
132.0 19.34000015258789 36.45000076293945 0.0
133.0 19.329999923706055 36.459999084472656 0.0
134.0 19.280000686645508 36.459999084472656 0.0
135.0 19.209999084472656 36.459999084472656 0.0
136.0 19.139999389648438 36.459999084472656 0.0
137.0 19.100000381469727 36.459999084472656 0.0
138.0 19.059999465942383 36.470001220703125 0.0
139.0 19.010000228881836 36.470001220703125 0.0
140.0 18.8700008392334 36.459999084472656 0.0
141.0 18.799999237060547 36.45000076293945 0.0
142.0 18.75 36.45000076293945 0.0
143.0 18.639999389648438 36.439998626708984 0.0
144.0 18.6299991607666 36.439998626708984 0.0
145.0 18.610000610351562 36.43000030517578 0.0
146.0 18.520000457763672 36.41999816894531 0.0
147.0 18.40999984741211 36.40999984741211 0.0
148.0 18.399999618530273 36.41999816894531 0.0
149.0 18.399999618530273 36.43000030517578 0.0
150.0 18.399999618530273 36.439998626708984 0.0
151.0 18.389999389648438 36.45000076293945 0.0
152.0 18.389999389648438 36.45000076293945 0.0
153.0 18.389999389648438 36.45000076293945 0.0
154.0 18.350000381469727 36.439998626708984 0.0
155.0 18.260000228881836 36.43000030517578 0.0
156.0 18.239999771118164 36.41999816894531 0.0
157.0 18.149999618530273 36.40999984741211 0.0
158.0 18.06999969482422 36.400001525878906 0.0
159.0 18.020000457763672 36.40999984741211 0.0
160.0 17.979999542236328 36.41999816894531 0.0
161.0 17.90999984741211 36.40999984741211 0.0
162.0 17.75 36.38999938964844 0.0
163.0 17.670000076293945 36.349998474121094 0.0
164.0 17.56999969482422 36.310001373291016 0.0
165.0 17.59000015258789 36.29999923706055 0.0
166.0 17.579999923706055 36.310001373291016 0.0
167.0 17.559999465942383 36.34000015258789 0.0
168.0 17.5 36.36000061035156 0.0
169.0 17.450000762939453 36.369998931884766 0.0
170.0 17.389999389648438 36.36000061035156 0.0
171.0 17.299999237060547 36.34000015258789 0.0
172.0 17.270000457763672 36.31999969482422 0.0
173.0 17.209999084472656 36.310001373291016 0.0
174.0 17.139999389648438 36.290000915527344 0.0
175.0 17.079999923706055 36.279998779296875 0.0
176.0 17.040000915527344 36.279998779296875 0.0
177.0 17.040000915527344 36.279998779296875 0.0
178.0 17.030000686645508 36.279998779296875 0.0
179.0 17.030000686645508 36.279998779296875 0.0
180.0 16.989999771118164 36.279998779296875 0.0
181.0 16.959999084472656 36.279998779296875 0.0
182.0 16.950000762939453 36.279998779296875 0.0
183.0 16.899999618530273 36.279998779296875 0.0
184.0 16.8799991607666 36.27000045776367 0.0
185.0 16.81999969482422 36.27000045776367 0.0
186.0 16.75 36.2599983215332 0.0
187.0 16.670000076293945 36.2599983215332 0.0
188.0 16.610000610351562 36.25 0.0
189.0 16.59000015258789 36.2400016784668 0.0
190.0 16.540000915527344 36.22999954223633 0.0
191.0 16.510000228881836 36.220001220703125 0.0
192.0 16.469999313354492 36.209999084472656 0.0
193.0 16.440000534057617 36.209999084472656 0.0
194.0 16.360000610351562 36.209999084472656 0.0
195.0 16.329999923706055 36.20000076293945 0.0
196.0 16.31999969482422 36.18000030517578 0.0
197.0 16.290000915527344 36.15999984741211 0.0
198.0 16.229999542236328 36.13999938964844 0.0
199.0 16.149999618530273 36.130001068115234 0.0
200.0 15.979999542236328 36.119998931884766 0.0
201.0 15.930000305175781 36.11000061035156 0.0
202.0 15.90999984741211 36.11000061035156 0.0
203.0 15.800000190734863 36.11000061035156 0.0
204.0 15.779999732971191 36.11000061035156 0.0
205.0 15.729999542236328 36.099998474121094 0.0
206.0 15.699999809265137 36.099998474121094 1.0
207.0 15.6899995803833 36.099998474121094 1.0
208.0 15.649999618530273 36.09000015258789 0.0
209.0 15.619999885559082 36.08000183105469 0.0
210.0 15.600000381469727 36.06999969482422 0.0
211.0 15.59000015258789 36.06999969482422 0.0
212.0 15.600000381469727 36.08000183105469 0.0

In total, there are 212 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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