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Dataset Title:	"Deepwater CTD - 53870.ctd.nc - 27.0N, -91.0W - 1992-05-18"
Institution:	Texas A&M University, Department of Oceanography   (Dataset ID: deepwater_53870_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: 196)
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) 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  m	196 options
temperature	= (ANY) 15.175999641418457 15.451000213623047 15.692000389099121 15.932999610900879 16.09000015258789 16.180999755859375 16.465999603271484 16.68400001525879 17.020000457763672 17.30699920654297 17.511999130249023 17.716999053955078 17.95199966430664 18.211000442504883 18.423999786376953 18.604000091552734 18.94099998474121 19.18899917602539 19.444000244140625 19.916000366210938 20.14900016784668 20.38800048828125 20.913000106811523 21.025999069213867 21.145000457763672 21.968000411987305 22.66699981689453 23.018999099731445 23.299999237060547 23.97599983215332 24.187000274658203 24.400999069213867 24.4060001373291 25.30500030517578  degree_C	35 options
salinity	= (ANY) 34.23759841918945 34.93669891357422 35.580101013183594 35.78580093383789 35.86180114746094 35.937801361083984 35.97529983520508 35.99760055541992 36.019798278808594 36.02289962768555 36.05630111694336 36.065399169921875 36.0724983215332 36.098899841308594 36.12419891357422 36.14350128173828 36.1515998840332 36.175899505615234 36.200199127197266 36.20119857788086 36.221500396728516 36.22249984741211 36.23160171508789 36.269100189208984 36.30149841308594 36.309600830078125 36.321800231933594 36.325801849365234 36.32789993286133 36.3390007019043 36.34510040283203 36.35219955444336 36.3745002746582 36.377498626708984  PSU	35 options
oxygen	= (ANY)  milligrams per liter	1 option:
pressure	= (ANY) -990.0 5.400000095367432 12.199999809265137 18.700000762939453 25.100000381469727 31.100000381469727 36.900001525878906 42.79999923706055 48.900001525878906 55.0 61.400001525878906 67.5999984741211 73.0 79.30000305175781 85.0999984741211 91.5999984741211 105.0 111.0 115.80000305175781 120.69999694824219 126.0 130.10000610351562 135.3000030517578 140.60000610351562 144.6999969482422 149.89999389648438 155.10000610351562 159.39999389648438 164.8000030517578 170.0 173.8000030517578 179.0 183.60000610351562 192.3000030517578 201.10000610351562  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 1.0	2 options

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	pressure	nitrite	nitrate	phosphate	silicate	salinity2	qualityFlag
m	degree_C	PSU	milligrams per liter	decibars	not-measured	not-measured	not-measured	not-measured	PSU
5.0	25.30500030517578	34.23759841918945		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	24.4060001373291	34.93669891357422		12.199999809265137	-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	24.400999069213867	35.580101013183594		18.700000762939453	-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				-990.0						0.0
22.0				-990.0						0.0
23.0				-990.0						0.0
24.0				-990.0						0.0
25.0	24.187000274658203	35.78580093383789		25.100000381469727						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	23.97599983215332	35.86180114746094		31.100000381469727						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	23.299999237060547	36.02289962768555		36.900001525878906						0.0
38.0				-990.0						0.0
39.0				-990.0						0.0
40.0				-990.0						0.0
41.0				-990.0						0.0
42.0				-990.0						0.0
43.0	23.018999099731445	36.065399169921875		42.79999923706055						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	22.66699981689453	36.1515998840332		48.900001525878906						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	21.968000411987305	35.99760055541992		55.0						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				-990.0						0.0
61.0	21.145000457763672	36.12419891357422		61.400001525878906						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	21.025999069213867	36.200199127197266		67.5999984741211						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	20.913000106811523	36.309600830078125		73.0						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	20.38800048828125	36.221500396728516		79.30000305175781						0.0
80.0				-990.0						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	20.14900016784668	36.20119857788086		85.0999984741211						0.0
86.0				-990.0						0.0
87.0				-990.0						0.0
88.0				-990.0						0.0
89.0				-990.0						0.0
90.0				-990.0						0.0
91.0	19.916000366210938	36.22249984741211		91.5999984741211						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	19.444000244140625	36.34510040283203		105.0						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	19.18899917602539	36.32789993286133		111.0						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	18.94099998474121	36.325801849365234		115.80000305175781						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	18.604000091552734	36.3390007019043		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	18.423999786376953	36.3745002746582		126.0						0.0
126.0				-990.0						0.0
127.0				-990.0						0.0
128.0				-990.0						0.0
129.0	18.211000442504883	36.377498626708984		130.10000610351562						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	17.95199966430664	36.35219955444336		135.3000030517578						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	17.716999053955078	36.321800231933594		140.60000610351562						0.0
141.0				-990.0						0.0
142.0				-990.0						0.0
143.0				-990.0						0.0
144.0	17.511999130249023	36.30149841308594		144.6999969482422						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	17.30699920654297	36.269100189208984		149.89999389648438						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	17.020000457763672	36.23160171508789		155.10000610351562						0.0
155.0				-990.0						0.0
156.0				-990.0						0.0
157.0				-990.0						0.0
158.0	16.68400001525879	36.175899505615234		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	16.465999603271484	36.14350128173828		164.8000030517578						0.0
165.0				-990.0						0.0
166.0				-990.0						0.0
167.0				-990.0						0.0
168.0				-990.0						0.0
169.0	16.180999755859375	36.098899841308594		170.0						0.0
170.0				-990.0						0.0
171.0				-990.0						0.0
172.0				-990.0						0.0
173.0	16.09000015258789	36.0724983215332		173.8000030517578						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	15.932999610900879	36.05630111694336		179.0						0.0
179.0				-990.0						0.0
180.0				-990.0						0.0
181.0				-990.0						0.0
182.0	15.692000389099121	36.019798278808594		183.60000610351562						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				-990.0						0.0
189.0				-990.0						0.0
190.0				-990.0						0.0
191.0	15.451000213623047	35.97529983520508		192.3000030517578						1.0
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				-990.0						0.0
197.0				-990.0						0.0
198.0				-990.0						0.0
199.0				-990.0						0.0
200.0	15.175999641418457	35.937801361083984		201.10000610351562						1.0

In total, there are 196 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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