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ERDDAP > tabledap > Subset ?

Dataset Title:  "Deepwater CTD - 53891.ctd.nc - 26.0N, -94.5W - 1992-05-21" Subscribe RSS
Institution:  Texas A&M University, Department of Oceanography   (Dataset ID: deepwater_53891_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: 186)
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   186 options
    temperature ?  =  degree_C   23 options
    salinity ?  =  PSU   22 options
    oxygen ?  =  milligrams per liter   1 option:
    pressure ?  =  decibars   23 options
    nitrite ?  =  not-measured   2 options
    nitrate ?  =  not-measured   2 options
    phosphate ?  =  not-measured   2 options
    silicate ?  =  not-measured   2 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 pressure nitrite nitrate phosphate silicate salinity2 qualityFlag
m degree_C PSU milligrams per liter decibars not-measured not-measured not-measured not-measured PSU
11.0 25.49799919128418 35.920501708984375 11.300000190734863 -99.0 -99.0 -99.0 -99.0 -99.0 0.0
12.0 -990.0 -99.0 -99.0 -99.0 -99.0 -99.0 0.0
13.0 -990.0 -99.0 -99.0 -99.0 -99.0 -99.0 0.0
14.0 -990.0 -99.0 -99.0 -99.0 -99.0 -99.0 0.0
15.0 -990.0 -99.0 -99.0 -99.0 -99.0 -99.0 0.0
16.0 -990.0 -99.0 -99.0 -99.0 -99.0 -99.0 0.0
17.0 -990.0 -99.0 -99.0 -99.0 -99.0 -99.0 0.0
18.0 -990.0 -99.0 -99.0 -99.0 -99.0 -99.0 0.0
19.0 -990.0 -99.0 -99.0 -99.0 -99.0 -99.0 0.0
20.0 -990.0 -99.0 -99.0 -99.0 -99.0 -99.0 0.0
21.0 25.356000900268555 35.93470001220703 20.899999618530273 -99.0 -99.0 -99.0 -99.0 -99.0 0.0
22.0 -990.0 -99.0 -99.0 -99.0 -99.0 -99.0 0.0
23.0 -990.0 -99.0 -99.0 -99.0 -99.0 -99.0 0.0
24.0 -990.0 -99.0 -99.0 -99.0 -99.0 -99.0 0.0
25.0 -990.0 -99.0 -99.0 -99.0 -99.0 -99.0 0.0
26.0 -990.0 -99.0 -99.0 -99.0 -99.0 -99.0 0.0
27.0 -990.0 0.0
28.0 -990.0 0.0
29.0 -990.0 0.0
30.0 24.966999053955078 35.97420120239258 30.100000381469727 0.0
31.0 -990.0 0.0
32.0 -990.0 0.0
33.0 -990.0 0.0
34.0 -990.0 0.0
35.0 -990.0 0.0
36.0 -990.0 0.0
37.0 -990.0 0.0
38.0 -990.0 0.0
39.0 24.285999298095703 36.21839904785156 38.900001525878906 0.0
40.0 -990.0 0.0
41.0 -990.0 0.0
42.0 -990.0 0.0
43.0 -990.0 0.0
44.0 -990.0 0.0
45.0 -990.0 0.0
46.0 -990.0 0.0
47.0 23.70800018310547 36.142398834228516 47.20000076293945 0.0
48.0 -990.0 0.0
49.0 -990.0 0.0
50.0 -990.0 0.0
51.0 -990.0 0.0
52.0 -990.0 0.0
53.0 -990.0 0.0
54.0 -990.0 0.0
55.0 -990.0 0.0
56.0 23.191999435424805 36.17890167236328 55.900001525878906 0.0
57.0 -990.0 0.0
58.0 -990.0 0.0
59.0 -990.0 0.0
60.0 -990.0 0.0
61.0 -990.0 0.0
62.0 -990.0 0.0
63.0 -990.0 0.0
64.0 -990.0 0.0
65.0 22.95599937438965 36.185001373291016 65.5999984741211 0.0
66.0 -990.0 0.0
67.0 -990.0 0.0
68.0 -990.0 0.0
69.0 -990.0 0.0
70.0 -990.0 0.0
71.0 -990.0 0.0
72.0 -990.0 0.0
73.0 22.85300064086914 36.221500396728516 73.5999984741211 0.0
74.0 -990.0 0.0
75.0 -990.0 0.0
76.0 -990.0 0.0
77.0 -990.0 0.0
78.0 -990.0 0.0
79.0 -990.0 0.0
80.0 -990.0 0.0
81.0 -990.0 0.0
82.0 22.792999267578125 36.2671012878418 82.4000015258789 0.0
83.0 -990.0 0.0
84.0 -990.0 0.0
85.0 -990.0 0.0
86.0 -990.0 0.0
87.0 -990.0 0.0
88.0 -990.0 0.0
89.0 22.854000091552734 36.34510040283203 89.80000305175781 0.0
90.0 -990.0 0.0
91.0 -990.0 0.0
92.0 -990.0 0.0
93.0 -990.0 0.0
94.0 -990.0 0.0
95.0 -990.0 0.0
96.0 -990.0 0.0
97.0 -990.0 0.0
98.0 -990.0 0.0
99.0 -990.0 0.0
100.0 -990.0 0.0
101.0 -990.0 0.0
102.0 -990.0 0.0
103.0 -990.0 0.0
104.0 22.687000274658203 36.35419845581055 104.5 0.0
105.0 -990.0 0.0
106.0 -990.0 0.0
107.0 -990.0 0.0
108.0 -990.0 0.0
109.0 -990.0 0.0
110.0 -990.0 0.0
111.0 -990.0 0.0
112.0 -990.0 0.0
113.0 -990.0 0.0
114.0 -990.0 0.0
115.0 -990.0 0.0
116.0 -990.0 0.0
117.0 -990.0 0.0
118.0 -990.0 0.0
119.0 22.552000045776367 36.34709930419922 119.9000015258789 0.0
120.0 -990.0 0.0
121.0 -990.0 0.0
122.0 -990.0 0.0
123.0 -990.0 0.0
124.0 -990.0 0.0
125.0 -990.0 0.0
126.0 -990.0 0.0
127.0 -990.0 0.0
128.0 22.288000106811523 36.321800231933594 128.89999389648438 0.0
129.0 -990.0 0.0
130.0 -990.0 0.0
131.0 -990.0 0.0
132.0 -990.0 0.0
133.0 -990.0 0.0
134.0 -990.0 0.0
135.0 21.97599983215332 36.29439926147461 136.3000030517578 0.0
136.0 -990.0 0.0
137.0 -990.0 0.0
138.0 -990.0 0.0
139.0 -990.0 0.0
140.0 -990.0 0.0
141.0 -990.0 0.0
142.0 -990.0 0.0
143.0 21.461999893188477 36.240699768066406 143.89999389648438 0.0
144.0 -990.0 0.0
145.0 -990.0 0.0
146.0 -990.0 0.0
147.0 -990.0 0.0
148.0 -990.0 0.0
149.0 -990.0 0.0
150.0 21.059999465942383 36.228599548339844 151.0 0.0
151.0 -990.0 0.0
152.0 -990.0 0.0
153.0 -990.0 0.0
154.0 -990.0 0.0
155.0 -990.0 0.0
156.0 -990.0 0.0
157.0 -990.0 0.0
158.0 20.79599952697754 36.274200439453125 159.39999389648438 0.0
159.0 -990.0 0.0
160.0 -990.0 0.0
161.0 -990.0 0.0
162.0 -990.0 0.0
163.0 -990.0 0.0
164.0 -990.0 0.0
165.0 -990.0 0.0
166.0 20.601999282836914 36.39569854736328 166.6999969482422 0.0
167.0 -990.0 0.0
168.0 -990.0 0.0
169.0 -990.0 0.0
170.0 -990.0 0.0
171.0 -990.0 0.0
172.0 20.350000381469727 36.451499938964844 173.60000610351562 0.0
173.0 -990.0 0.0
174.0 -990.0 0.0
175.0 -990.0 0.0
176.0 -990.0 0.0
177.0 -990.0 0.0
178.0 -990.0 0.0
179.0 -990.0 0.0
180.0 -990.0 0.0
181.0 20.042999267578125 36.45650100708008 182.0 0.0
182.0 -990.0 0.0
183.0 -990.0 0.0
184.0 -990.0 0.0
185.0 -990.0 0.0
186.0 -990.0 0.0
187.0 -990.0 0.0
188.0 19.551000595092773 36.451499938964844 189.60000610351562 0.0
189.0 -990.0 0.0
190.0 -990.0 0.0
191.0 -990.0 0.0
192.0 -990.0 0.0
193.0 -990.0 0.0
194.0 -990.0 0.0
195.0 -990.0 0.0
196.0 19.27400016784668 36.43629837036133 197.60000610351562 0.0

In total, there are 186 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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