ERDDAP > tabledap > Subset

Dataset Title:	"Deepwater CTD - 53889.ctd.nc - 26.49N, -94.0W - 1992-05-21"
Institution:	Texas A&M University, Department of Oceanography   (Dataset ID: deepwater_53889_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: 201)
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) 1.0 2.0 3.0 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 61.0 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 76.0 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 97.0 98.0 99.0 100.0 101.0 102.0 103.0 104.0 105.0 106.0 107.0 108.0 109.0 110.0 111.0 112.0 113.0 114.0 115.0 116.0 117.0 118.0 119.0 120.0 121.0 122.0 123.0 124.0 125.0 126.0 127.0 128.0 129.0 130.0 131.0 132.0 133.0 134.0 135.0 136.0 137.0 138.0 139.0 140.0 141.0 142.0 143.0 144.0 145.0 146.0 147.0 148.0 149.0 150.0 151.0 152.0 153.0 154.0 155.0 156.0 157.0 158.0 159.0 160.0 161.0 162.0 163.0 164.0 165.0 166.0 167.0 168.0 169.0 170.0 171.0 172.0 173.0 174.0 175.0 176.0 177.0 178.0 179.0 180.0 181.0 182.0 183.0 184.0 185.0 186.0 187.0 188.0 189.0 190.0 191.0 192.0 193.0 194.0 195.0 196.0 197.0 198.0 199.0 200.0 201.0  m	201 options
temperature	= (ANY) 19.041000366210938 19.28700065612793 19.552000045776367 19.93600082397461 20.214000701904297 20.625999450683594 20.725000381469727 20.868000030517578 21.027000427246094 21.405000686645508 21.52899932861328 21.611000061035156 21.875 22.073999404907227 22.236000061035156 22.240999221801758 22.30299949645996 22.309999465942383 22.375999450683594 22.450000762939453 22.472000122070312 22.47599983215332 22.5 22.500999450683594 22.635000228881836 23.040000915527344 23.336999893188477 23.86400032043457 24.535999298095703 24.702999114990234 25.222000122070312 25.229000091552734 25.232999801635742 25.238000869750977  degree_C	35 options
salinity	= (ANY) 35.67940139770508 35.714900970458984 35.71590042114258 35.71689987182617 35.75640106201172 35.77669906616211 35.90639877319336 35.921600341796875 35.93370056152344 35.93470001220703 35.94990158081055 35.97629928588867 35.99760055541992 36.01580047607422 36.1151008605957 36.14039993286133 36.159698486328125 36.168800354003906 36.17490005493164 36.19609832763672 36.197200775146484 36.200199127197266 36.20320129394531 36.216400146484375 36.22650146484375 36.256900787353516 36.30350112915039 36.35219955444336 36.37649917602539 36.393699645996094 36.398799896240234 36.406898498535156 36.415000915527344  PSU	34 options
oxygen	= (ANY)  milligrams per liter	1 option:
pressure	= (ANY) -990.0 0.699999988079071 5.400000095367432 12.0 19.200000762939453 27.0 33.599998474121094 41.29999923706055 49.20000076293945 56.70000076293945 63.70000076293945 69.80000305175781 77.0 83.9000015258789 89.5 101.9000015258789 107.9000015258789 112.5 118.4000015258789 123.5 128.5 134.3000030517578 140.0 145.6999969482422 150.39999389648438 155.3000030517578 161.60000610351562 166.89999389648438 171.8000030517578 175.89999389648438 182.3000030517578 188.1999969482422 192.89999389648438 198.3000030517578 202.89999389648438  decibars	35 options
nitrite	= (ANY) -99.0  not-measured	2 options
nitrate	= (ANY) -99.0  not-measured	2 options
phosphate	= (ANY) -99.0  not-measured	2 options
silicate	= (ANY) -99.0  not-measured	2 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

 

---

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
1.0	25.229000091552734	35.67940139770508		0.699999988079071	-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	25.232999801635742	35.714900970458984		5.400000095367432	-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				-990.0	-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	25.238000869750977	35.71590042114258		12.0	-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						0.0
18.0				-990.0						0.0
19.0	25.222000122070312	35.71689987182617		19.200000762939453						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				-990.0						0.0
26.0				-990.0						0.0
27.0	24.702999114990234	35.75640106201172		27.0						0.0
28.0				-990.0						0.0
29.0				-990.0						0.0
30.0				-990.0						0.0
31.0				-990.0						0.0
32.0				-990.0						0.0
33.0	24.535999298095703	35.77669906616211		33.599998474121094						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				-990.0						0.0
40.0				-990.0						0.0
41.0	23.86400032043457	35.93470001220703		41.29999923706055						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				-990.0						0.0
48.0				-990.0						0.0
49.0	23.336999893188477	35.97629928588867		49.20000076293945						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	23.040000915527344	36.01580047607422		56.70000076293945						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	22.635000228881836	35.94990158081055		63.70000076293945						0.0
64.0				-990.0						0.0
65.0				-990.0						0.0
66.0				-990.0						0.0
67.0				-990.0						0.0
68.0				-990.0						0.0
69.0	22.47599983215332	35.921600341796875		69.80000305175781						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				-990.0						0.0
75.0				-990.0						0.0
76.0	22.309999465942383	35.90639877319336		77.0						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				-990.0						0.0
83.0	22.240999221801758	35.93370056152344		83.9000015258789						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	22.30299949645996	35.99760055541992		89.5						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	22.500999450683594	36.159698486328125		101.9000015258789						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				-990.0						0.0
107.0	22.5	36.20320129394531		107.9000015258789						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	22.472000122070312	36.197200775146484		112.5						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	22.450000762939453	36.22650146484375		118.4000015258789						0.0
119.0				-990.0						0.0
120.0				-990.0						0.0
121.0				-990.0						0.0
122.0				-990.0						0.0
123.0	22.375999450683594	36.216400146484375		123.5						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	22.236000061035156	36.200199127197266		128.5						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	22.073999404907227	36.19609832763672		134.3000030517578						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	21.875	36.14039993286133		140.0						0.0
140.0				-990.0						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	21.611000061035156	36.1151008605957		145.6999969482422						0.0
146.0				-990.0						0.0
147.0				-990.0						0.0
148.0				-990.0						0.0
149.0	21.52899932861328	36.17490005493164		150.39999389648438						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	21.405000686645508	36.168800354003906		155.3000030517578						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	21.027000427246094	36.256900787353516		161.60000610351562						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	20.868000030517578	36.30350112915039		166.89999389648438						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	20.725000381469727	36.35219955444336		171.8000030517578						0.0
172.0				-990.0						0.0
173.0				-990.0						0.0
174.0				-990.0						0.0
175.0	20.625999450683594	36.37649917602539		175.89999389648438						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	20.214000701904297	36.393699645996094		182.3000030517578						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	19.93600082397461	36.415000915527344		188.1999969482422						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	19.552000045776367	36.406898498535156		192.89999389648438						0.0
193.0				-990.0						0.0
194.0				-990.0						0.0
195.0				-990.0						0.0
196.0				-990.0						0.0
197.0	19.28700065612793	36.398799896240234		198.3000030517578						0.0
198.0				-990.0						0.0
199.0				-990.0						0.0
200.0				-990.0						0.0
201.0	19.041000366210938	36.406898498535156		202.89999389648438						0.0

In total, there are 201 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.

 

---

ERDDAP, Version 2.23
Disclaimers | Privacy Policy | Contact