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Dataset Title:  "Deepwater CTD - pe972250.ctd.nc - 29.17N, -86.09W - 1997-03-26" Subscribe RSS
Institution:  Texas A&M University, Department of Oceanography   (Dataset ID: deepwater_pe972250_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: 227)
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   227 options
    temperature ?  =  degree_C   216 options
    salinity ?  =  PSU   165 options
    oxygen ?  =  milliliters per liter   12 options
    nitrite ?  =  micromols   7 options
    nitrate ?  =  micromols   11 options
    phosphate ?  =  micromols   10 options
    silicate ?  =  micromols   13 options
    salinity2 ?  =  PSU   13 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 nitrite nitrate phosphate silicate salinity2 qualityFlag
m degree_C PSU milliliters per liter micromols micromols micromols micromols PSU
4.0 21.76099967956543 36.17599868774414 4.590000152587891 0.0 0.07999999821186066 0.019999999552965164 1.3300000429153442 36.10300064086914 0.0
5.0 21.736000061035156 36.106998443603516 4.619999885559082 0.0 0.07999999821186066 0.009999999776482582 1.1799999475479126 36.09299850463867 0.0
6.0 21.731000900268555 36.106998443603516 4.630000114440918 0.0 0.10999999940395355 0.0 1.1299999952316284 36.09400177001953 0.0
7.0 21.725000381469727 36.106998443603516 4.630000114440918 0.0 0.10999999940395355 0.009999999776482582 1.0499999523162842 36.09600067138672 0.0
8.0 21.72599983215332 36.108001708984375 4.75 0.009999999776482582 0.10000000149011612 0.009999999776482582 1.409999966621399 36.2859992980957 0.0
9.0 21.718000411987305 36.10900115966797 4.760000228881836 0.05999999865889549 0.03999999910593033 0.009999999776482582 0.7799999713897705 36.334999084472656 0.0
10.0 21.604999542236328 36.130001068115234 4.46999979019165 0.14000000059604645 0.029999999329447746 0.029999999329447746 0.25999999046325684 36.358001708984375 0.0
11.0 21.506999969482422 36.15299987792969 3.119999885559082 0.029999999329447746 9.100000381469727 0.44999998807907104 2.549999952316284 36.40700149536133 0.0
12.0 21.45199966430664 36.150001525878906 2.9000000953674316 0.019999999552965164 12.359999656677246 0.6200000047683716 3.4100000858306885 36.388999938964844 0.0
13.0 21.326000213623047 36.15299987792969 2.7899999618530273 0.019999999552965164 15.520000457763672 0.8100000023841858 4.590000152587891 36.22200012207031 0.0
14.0 21.277999877929688 36.1609992980957 2.9100000858306885 0.019999999552965164 19.709999084472656 1.059999942779541 6.880000114440918 35.85200119018555 0.0
15.0 21.270000457763672 36.16400146484375 2.819999933242798 0.019999999552965164 21.229999542236328 1.2000000476837158 8.069999694824219 35.73099899291992 0.0
16.0 21.243999481201172 36.1619987487793 0.0
17.0 21.20599937438965 36.15800094604492 0.0
18.0 21.12299919128418 36.14699935913086 0.0
19.0 21.058000564575195 36.138999938964844 0.0
20.0 20.944000244140625 36.12900161743164 0.0
21.0 20.83799934387207 36.12200164794922 0.0
22.0 20.790000915527344 36.117000579833984 0.0
23.0 20.725000381469727 36.11399841308594 0.0
24.0 20.677000045776367 36.130001068115234 0.0
25.0 20.663999557495117 36.13399887084961 0.0
26.0 20.659000396728516 36.13199996948242 0.0
27.0 20.652999877929688 36.13100051879883 0.0
28.0 20.63800048828125 36.132999420166016 0.0
29.0 20.624000549316406 36.13399887084961 0.0
30.0 20.597999572753906 36.137001037597656 0.0
31.0 20.58300018310547 36.137001037597656 0.0
32.0 20.57200050354004 36.13999938964844 0.0
33.0 20.56800079345703 36.14500045776367 0.0
34.0 20.562000274658203 36.165000915527344 0.0
35.0 20.527000427246094 36.18299865722656 0.0
36.0 20.48900032043457 36.196998596191406 0.0
37.0 20.38599967956543 36.196998596191406 0.0
38.0 20.371000289916992 36.19599914550781 0.0
39.0 20.36199951171875 36.198001861572266 0.0
40.0 20.361000061035156 36.20000076293945 0.0
41.0 20.327999114990234 36.19900131225586 0.0
42.0 20.285999298095703 36.19599914550781 0.0
43.0 20.266000747680664 36.19599914550781 0.0
44.0 20.233999252319336 36.196998596191406 0.0
45.0 20.214000701904297 36.198001861572266 0.0
46.0 20.201000213623047 36.198001861572266 0.0
47.0 20.177000045776367 36.20000076293945 0.0
48.0 20.183000564575195 36.21699905395508 0.0
49.0 20.173999786376953 36.21900177001953 0.0
50.0 20.15999984741211 36.21699905395508 0.0
51.0 20.160999298095703 36.21799850463867 0.0
52.0 20.159000396728516 36.21799850463867 0.0
53.0 20.156999588012695 36.21799850463867 0.0
54.0 20.152000427246094 36.21799850463867 0.0
55.0 20.152000427246094 36.21799850463867 0.0
56.0 20.149999618530273 36.21799850463867 0.0
57.0 20.145999908447266 36.21799850463867 0.0
58.0 20.145999908447266 36.21799850463867 0.0
59.0 20.148000717163086 36.21900177001953 0.0
60.0 20.14900016784668 36.21900177001953 0.0
61.0 20.14900016784668 36.21900177001953 0.0
62.0 20.173999786376953 36.237998962402344 0.0
63.0 20.222999572753906 36.262001037597656 0.0
64.0 20.236000061035156 36.266998291015625 0.0
65.0 20.23699951171875 36.26599884033203 0.0
66.0 20.229999542236328 36.26599884033203 0.0
67.0 20.20599937438965 36.263999938964844 0.0
68.0 20.191999435424805 36.262001037597656 0.0
69.0 20.190000534057617 36.262001037597656 0.0
70.0 20.187999725341797 36.26100158691406 0.0
71.0 20.18199920654297 36.2599983215332 0.0
72.0 20.160999298095703 36.255001068115234 0.0
73.0 20.13800048828125 36.250999450683594 0.0
74.0 20.124000549316406 36.249000549316406 0.0
75.0 20.108999252319336 36.24700164794922 0.0
76.0 20.077999114990234 36.2400016784668 0.0
77.0 20.03499984741211 36.23500061035156 0.0
78.0 20.007999420166016 36.23099899291992 0.0
79.0 19.993999481201172 36.229000091552734 0.0
80.0 19.98200035095215 36.22600173950195 0.0
81.0 19.966999053955078 36.222999572753906 0.0
82.0 19.9060001373291 36.2130012512207 0.0
83.0 19.874000549316406 36.21200180053711 0.0
84.0 19.836999893188477 36.20600128173828 0.0
85.0 19.78700065612793 36.19499969482422 0.0
86.0 19.73200035095215 36.189998626708984 0.0
87.0 19.68400001525879 36.18299865722656 0.0
88.0 19.663000106811523 36.178001403808594 0.0
89.0 19.636999130249023 36.172000885009766 0.0
90.0 19.604000091552734 36.16699981689453 0.0
91.0 19.54199981689453 36.15700149536133 0.0
92.0 19.51300048828125 36.15299987792969 0.0
93.0 19.454999923706055 36.14099884033203 0.0
94.0 19.395999908447266 36.13399887084961 0.0
95.0 19.375999450683594 36.13100051879883 0.0
96.0 19.351999282836914 36.125 0.0
97.0 19.29400062561035 36.1150016784668 0.0
98.0 19.240999221801758 36.12099838256836 0.0
99.0 19.19300079345703 36.11600112915039 0.0
100.0 19.138999938964844 36.10599899291992 0.0
101.0 19.014999389648438 36.095001220703125 0.0
102.0 18.98900032043457 36.10499954223633 0.0
103.0 18.98699951171875 36.112998962402344 0.0
104.0 18.993000030517578 36.125 0.0
105.0 18.97800064086914 36.14799880981445 0.0
106.0 18.948999404907227 36.159000396728516 0.0
107.0 18.937999725341797 36.159000396728516 0.0
108.0 18.924999237060547 36.1619987487793 0.0
109.0 18.913000106811523 36.16600036621094 0.0
110.0 18.893999099731445 36.176998138427734 0.0
111.0 18.89699935913086 36.18899917602539 0.0
112.0 18.868999481201172 36.19900131225586 0.0
113.0 18.812999725341797 36.20800018310547 0.0
114.0 18.679000854492188 36.23099899291992 0.0
115.0 18.649999618530273 36.25199890136719 0.0
116.0 18.645000457763672 36.27799987792969 0.0
117.0 18.643999099731445 36.303001403808594 0.0
118.0 18.632999420166016 36.32699966430664 0.0
119.0 18.5939998626709 36.3380012512207 0.0
120.0 18.55699920654297 36.33000183105469 0.0
121.0 18.469999313354492 36.290000915527344 0.0
122.0 17.990999221801758 36.2239990234375 0.0
123.0 17.908000946044922 36.21799850463867 0.0
124.0 17.85700035095215 36.209999084472656 0.0
125.0 17.72100067138672 36.19599914550781 0.0
126.0 17.611000061035156 36.198001861572266 0.0
127.0 17.520000457763672 36.20100021362305 0.0
128.0 17.507999420166016 36.20399856567383 0.0
129.0 17.445999145507812 36.21900177001953 0.0
130.0 17.378000259399414 36.231998443603516 0.0
131.0 17.304000854492188 36.24300003051758 0.0
132.0 17.243999481201172 36.24800109863281 0.0
133.0 17.160999298095703 36.24700164794922 0.0
134.0 17.11199951171875 36.249000549316406 0.0
135.0 17.107999801635742 36.24700164794922 0.0
136.0 17.089000701904297 36.24300003051758 0.0
137.0 17.042999267578125 36.23699951171875 0.0
138.0 16.999000549316406 36.231998443603516 0.0
139.0 16.97100067138672 36.22800064086914 0.0
140.0 16.941999435424805 36.22600173950195 0.0
141.0 16.917999267578125 36.22200012207031 0.0
142.0 16.871000289916992 36.215999603271484 0.0
143.0 16.81599998474121 36.21099853515625 0.0
144.0 16.764999389648438 36.20399856567383 0.0
145.0 16.698999404907227 36.194000244140625 0.0
146.0 16.600000381469727 36.180999755859375 0.0
147.0 16.541000366210938 36.178001403808594 0.0
148.0 16.527000427246094 36.17599868774414 0.0
149.0 16.47800064086914 36.16400146484375 0.0
150.0 16.375 36.150001525878906 0.0
151.0 16.288999557495117 36.141998291015625 0.0
152.0 16.23200035095215 36.132999420166016 0.0
153.0 16.18400001525879 36.125999450683594 0.0
154.0 16.124000549316406 36.117000579833984 0.0
155.0 16.055999755859375 36.106998443603516 0.0
156.0 16.006999969482422 36.10300064086914 0.0
157.0 15.991999626159668 36.10100173950195 0.0
158.0 15.95199966430664 36.09400177001953 0.0
159.0 15.902999877929688 36.08599853515625 0.0
160.0 15.864999771118164 36.08100128173828 0.0
161.0 15.824999809265137 36.071998596191406 0.0
162.0 15.753999710083008 36.06399917602539 0.0
163.0 15.687999725341797 36.053001403808594 0.0
164.0 15.618000030517578 36.04600143432617 0.0
165.0 15.586999893188477 36.04199981689453 0.0
166.0 15.541999816894531 36.03099822998047 0.0
167.0 15.47599983215332 36.02399826049805 0.0
168.0 15.449999809265137 36.01900100708008 0.0
169.0 15.420999526977539 36.013999938964844 0.0
170.0 15.375 36.00600051879883 0.0
171.0 15.312999725341797 36.000999450683594 0.0
172.0 15.291000366210938 35.99700164794922 0.0
173.0 15.262999534606934 35.9900016784668 0.0
174.0 15.190999984741211 35.979000091552734 0.0
175.0 15.163999557495117 35.97700119018555 0.0
176.0 15.152999877929688 35.974998474121094 0.0
177.0 15.128999710083008 35.96799850463867 0.0
178.0 15.052000045776367 35.957000732421875 0.0
179.0 14.987000465393066 35.94599914550781 0.0
180.0 14.920999526977539 35.9370002746582 0.0
181.0 14.875 35.93199920654297 0.0
182.0 14.843999862670898 35.92599868774414 0.0
183.0 14.805999755859375 35.91699981689453 0.0
184.0 14.744999885559082 35.90700149536133 0.0
185.0 14.70199966430664 35.90399932861328 0.0
186.0 14.684000015258789 35.902000427246094 0.0
187.0 14.651000022888184 35.895999908447266 0.0
188.0 14.618000030517578 35.891998291015625 0.0
189.0 14.597000122070312 35.888999938964844 0.0
190.0 14.555999755859375 35.87799835205078 0.0
191.0 14.47599983215332 35.862998962402344 0.0
192.0 14.420000076293945 35.86000061035156 0.0
193.0 14.388999938964844 35.85599899291992 0.0
194.0 14.347999572753906 35.849998474121094 0.0
195.0 14.319999694824219 35.845001220703125 0.0
196.0 14.243000030517578 35.82699966430664 0.0
197.0 14.166999816894531 35.81999969482422 0.0
198.0 14.126999855041504 35.8129997253418 0.0
199.0 14.057999610900879 35.79800033569336 0.0
200.0 13.960000038146973 35.7859992980957 0.0
201.0 13.899999618530273 35.78099822998047 0.0
202.0 13.868000030517578 35.77399826049805 0.0
203.0 13.819999694824219 35.76599884033203 0.0
204.0 13.79699993133545 35.763999938964844 0.0
205.0 13.78499984741211 35.76100158691406 0.0
206.0 13.758999824523926 35.755001068115234 0.0
207.0 13.727999687194824 35.75199890136719 0.0
208.0 13.706999778747559 35.74700164794922 0.0
209.0 13.607999801635742 35.729000091552734 0.0
210.0 13.543999671936035 35.720001220703125 0.0
211.0 13.45199966430664 35.70500183105469 0.0
212.0 13.390999794006348 35.698001861572266 0.0
213.0 13.335000038146973 35.68899917602539 0.0
214.0 13.295999526977539 35.683998107910156 0.0
215.0 13.256999969482422 35.678001403808594 0.0
216.0 13.194999694824219 35.6619987487793 0.0
217.0 13.107999801635742 35.65299987792969 0.0
218.0 13.085000038146973 35.65299987792969 0.0
219.0 13.083999633789062 35.6510009765625 0.0
220.0 13.081999778747559 35.6510009765625 0.0
221.0 13.079999923706055 35.64899826049805 0.0
222.0 13.07699966430664 35.64899826049805 0.0
223.0 13.074999809265137 35.64799880981445 0.0
224.0 13.072999954223633 35.64699935913086 0.0
225.0 13.072999954223633 35.64699935913086 0.0
226.0 13.072999954223633 35.64699935913086 0.0
227.0 13.072999954223633 35.645999908447266 0.0
228.0 13.072999954223633 35.645999908447266 0.0
229.0 13.072999954223633 35.645999908447266 0.0
230.0 13.072999954223633 35.645999908447266 0.0

In total, there are 227 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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