Metocean: Historical collections
|
Brought to you by NOAA NMFS SWFSC ERD |
Dataset Title: | "Deepwater CTD - 53892.ctd.nc - 26.0N, -95.0W - 1992-05-22" |
Institution: | Texas A&M University, Department of Oceanography (Dataset ID: deepwater_53892_ctd) |
Information: | Summary | License | FGDC | ISO 19115 | Metadata | Background | Data Access Form | Files | Make a graph |
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.
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 | |
1.0 | -990.0 | -99.0 | -99.0 | -99.0 | -99.0 | -99.0 | 0.0 | |||
2.0 | -990.0 | -99.0 | -99.0 | -99.0 | -99.0 | -99.0 | 0.0 | |||
3.0 | -990.0 | -99.0 | -99.0 | -99.0 | -99.0 | -99.0 | 0.0 | |||
4.0 | -990.0 | -99.0 | -99.0 | -99.0 | -99.0 | -99.0 | 0.0 | |||
5.0 | -990.0 | -99.0 | -99.0 | -99.0 | -99.0 | -99.0 | 0.0 | |||
6.0 | -990.0 | -99.0 | -99.0 | -99.0 | -99.0 | -99.0 | 0.0 | |||
7.0 | -990.0 | -99.0 | -99.0 | -99.0 | -99.0 | -99.0 | 0.0 | |||
8.0 | -990.0 | -99.0 | -99.0 | -99.0 | -99.0 | -99.0 | 0.0 | |||
9.0 | -990.0 | -99.0 | -99.0 | -99.0 | -99.0 | -99.0 | 0.0 | |||
10.0 | 25.51300048828125 | 36.03099822998047 | 10.0 | -99.0 | -99.0 | -99.0 | -99.0 | -99.0 | 0.0 | |
11.0 | -990.0 | -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 | 25.51099967956543 | 36.03099822998047 | 16.399999618530273 | -99.0 | -99.0 | -99.0 | -99.0 | -99.0 | 0.0 | |
17.0 | -990.0 | 0.0 | ||||||||
18.0 | -990.0 | 0.0 | ||||||||
19.0 | -990.0 | 0.0 | ||||||||
20.0 | -990.0 | 0.0 | ||||||||
21.0 | -990.0 | 0.0 | ||||||||
22.0 | -990.0 | 0.0 | ||||||||
23.0 | -990.0 | 0.0 | ||||||||
24.0 | -990.0 | 0.0 | ||||||||
25.0 | 24.608999252319336 | 36.055301666259766 | 24.899999618530273 | 0.0 | ||||||
26.0 | -990.0 | 0.0 | ||||||||
27.0 | -990.0 | 0.0 | ||||||||
28.0 | -990.0 | 0.0 | ||||||||
29.0 | -990.0 | 0.0 | ||||||||
30.0 | -990.0 | 0.0 | ||||||||
31.0 | 24.250999450683594 | 36.102901458740234 | 31.299999237060547 | 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 | 24.204999923706055 | 36.10900115966797 | 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 | 24.11400032043457 | 36.11199951171875 | 46.0 | 0.0 | ||||||
47.0 | -990.0 | 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 | 23.645000457763672 | 36.25389862060547 | 52.400001525878906 | 0.0 | ||||||
53.0 | -990.0 | 0.0 | ||||||||
54.0 | -990.0 | 0.0 | ||||||||
55.0 | -990.0 | 0.0 | ||||||||
56.0 | -990.0 | 0.0 | ||||||||
57.0 | -990.0 | 0.0 | ||||||||
58.0 | -990.0 | 0.0 | ||||||||
59.0 | -990.0 | 0.0 | ||||||||
60.0 | 23.350000381469727 | 36.319698333740234 | 60.0 | 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 | -990.0 | 0.0 | ||||||||
66.0 | -990.0 | 0.0 | ||||||||
67.0 | 23.165000915527344 | 36.340999603271484 | 67.0 | 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 | -990.0 | 0.0 | ||||||||
74.0 | 23.051000595092773 | 36.343101501464844 | 74.9000015258789 | 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 | 22.976999282836914 | 36.34709930419922 | 80.5 | 0.0 | ||||||
81.0 | -990.0 | 0.0 | ||||||||
82.0 | -990.0 | 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 | 22.823999404907227 | 36.35319900512695 | 87.9000015258789 | 0.0 | ||||||
88.0 | -990.0 | 0.0 | ||||||||
89.0 | -990.0 | 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 | 22.7549991607666 | 36.343101501464844 | 94.5999984741211 | 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 | -990.0 | 0.0 | ||||||||
105.0 | -990.0 | 0.0 | ||||||||
106.0 | 22.60099983215332 | 36.35319900512695 | 106.5999984741211 | 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 | 22.49799919128418 | 36.32789993286133 | 113.5999984741211 | 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 | -990.0 | 0.0 | ||||||||
120.0 | 22.256000518798828 | 36.31060028076172 | 120.69999694824219 | 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 | 22.048999786376953 | 36.27920150756836 | 126.80000305175781 | 0.0 | ||||||
127.0 | -990.0 | 0.0 | ||||||||
128.0 | -990.0 | 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 | 21.820999145507812 | 36.28329849243164 | 134.39999389648438 | 0.0 | ||||||
134.0 | -990.0 | 0.0 | ||||||||
135.0 | -990.0 | 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 | 21.35300064086914 | 36.29750061035156 | 141.3000030517578 | 0.0 | ||||||
141.0 | -990.0 | 0.0 | ||||||||
142.0 | -990.0 | 0.0 | ||||||||
143.0 | -990.0 | 0.0 | ||||||||
144.0 | -990.0 | 0.0 | ||||||||
145.0 | -990.0 | 0.0 | ||||||||
146.0 | -990.0 | 0.0 | ||||||||
147.0 | 20.940000534057617 | 36.21839904785156 | 148.3000030517578 | 0.0 | ||||||
148.0 | -990.0 | 0.0 | ||||||||
149.0 | -990.0 | 0.0 | ||||||||
150.0 | -990.0 | 0.0 | ||||||||
151.0 | -990.0 | 0.0 | ||||||||
152.0 | -990.0 | 0.0 | ||||||||
153.0 | -990.0 | 0.0 | ||||||||
154.0 | 20.732999801635742 | 36.252899169921875 | 154.89999389648438 | 0.0 | ||||||
155.0 | -990.0 | 0.0 | ||||||||
156.0 | -990.0 | 0.0 | ||||||||
157.0 | -990.0 | 0.0 | ||||||||
158.0 | -990.0 | 0.0 | ||||||||
159.0 | -990.0 | 0.0 | ||||||||
160.0 | -990.0 | 0.0 | ||||||||
161.0 | 20.680999755859375 | 36.35419845581055 | 162.1999969482422 | 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 | -990.0 | 0.0 | ||||||||
167.0 | 20.493000030517578 | 36.42110061645508 | 168.3000030517578 | 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 | -990.0 | 0.0 | ||||||||
173.0 | 20.16900062561035 | 36.45050048828125 | 174.3000030517578 | 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 | 19.777000427246094 | 36.47169876098633 | 181.39999389648438 | 0.0 | ||||||
181.0 | -990.0 | 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 | 19.305999755859375 | 36.47269821166992 | 188.10000610351562 | 0.0 | ||||||
188.0 | -990.0 | 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 | 19.093000411987305 | 36.460601806640625 | 196.1999969482422 | 0.0 | ||||||
196.0 | -990.0 | 0.0 | ||||||||
197.0 | -990.0 | 0.0 | ||||||||
198.0 | -990.0 | 0.0 | ||||||||
199.0 | -990.0 | 0.0 | ||||||||
200.0 | -990.0 | 0.0 | ||||||||
201.0 | -990.0 | 0.0 | ||||||||
202.0 | 18.784000396728516 | 36.42409896850586 | 203.89999389648438 | 0.0 | ||||||
203.0 | -990.0 | 0.0 | ||||||||
204.0 | -990.0 | 0.0 | ||||||||
205.0 | -990.0 | 0.0 | ||||||||
206.0 | -990.0 | 0.0 | ||||||||
207.0 | -990.0 | 0.0 | ||||||||
208.0 | 18.55699920654297 | 36.393699645996094 | 209.5 | 0.0 |
In total, there are 208 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.
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.