ERDDAP > tabledap > Subset

Dataset Title:	"Deepwater CTD - pe972244.ctd.nc - 28.7N, -86.84W - 1997-03-26"
Institution:	Texas A&M University, Department of Oceanography   (Dataset ID: deepwater_pe972244_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: 616)
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34.9640007019043 34.96799850463867 34.970001220703125 34.97200012207031 34.972999572753906 34.9739990234375 34.97600173950195 34.97700119018555 34.979000091552734 34.981998443603516 34.98400115966797 34.98500061035156 34.986000061035156 34.987998962402344 34.98899841308594 34.99100112915039 34.992000579833984 34.994998931884766 34.99700164794922 35.0 35.00199890136719 35.005001068115234 35.00699996948242 35.00899887084961 35.0099983215332 35.012001037597656 35.01300048828125 35.01599884033203 35.02000045776367 35.02299880981445 35.02399826049805 35.025001525878906 35.029998779296875 35.03099822998047 35.03200149536133 35.03300094604492 35.034000396728516 35.03499984741211 35.0369987487793 35.03799819946289 35.03900146484375 35.04199981689453 35.04499816894531 35.04600143432617 35.047000885009766 35.04999923706055 35.051998138427734 35.05400085449219 35.058998107910156 35.06100082397461 35.0629997253418 35.066001892089844 35.069000244140625 35.06999969482422 35.073001861572266 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35.249000549316406 35.250999450683594 35.25199890136719 35.25400161743164 35.25699996948242 35.25899887084961 35.26100158691406 35.26499938964844 35.268001556396484 35.26900100708008 35.27899932861328 35.28499984741211 35.28799819946289 35.28900146484375 35.29800033569336 35.30099868774414 35.30699920654297 35.310001373291016 35.3120002746582 35.316001892089844 35.31999969482422 35.321998596191406 35.32899856567383 35.33100128173828 35.332000732421875 35.33399963378906 35.334999084472656 35.33599853515625 35.33700180053711 35.34199905395508 35.345001220703125 35.3489990234375 35.349998474121094 35.35499954223633 35.35599899291992 35.356998443603516 35.358001708984375 35.35900115966797 35.36899948120117 35.374000549316406 35.37900161743164 35.38399887084961 35.38800048828125 35.39500045776367 35.39699935913086 35.400001525878906 35.40599822998047 35.409000396728516 35.41400146484375 35.41699981689453 35.417999267578125 35.41899871826172 35.41999816894531 35.428001403808594 35.43600082397461 35.4379997253418 35.44200134277344 35.446998596191406 35.44900131225586 35.45500183105469 35.45600128173828 35.46200180053711 35.46500015258789 35.47200012207031 35.4739990234375 35.47600173950195 35.48099899291992 35.48400115966797 35.487998962402344 35.49100112915039 35.49399948120117 35.49700164794922 35.499000549316406 35.50199890136719 35.50600051879883 35.507999420166016 35.5099983215332 35.512001037597656 35.518001556396484 35.520999908447266 35.52299880981445 35.5260009765625 35.52799987792969 35.52899932861328 35.53499984741211 35.540000915527344 35.54100036621094 35.542999267578125 35.54399871826172 35.54600143432617 35.547000885009766 35.55099868774414 35.55699920654297 35.5620002746582 35.566001892089844 35.569000244140625 35.573001861572266 35.57699966430664 35.58100128173828 35.5890007019043 35.59600067138672 35.60100173950195 35.604000091552734 35.608001708984375 35.611000061035156 35.61800003051758 35.62799835205078 35.6349983215332 35.64099884033203 35.645999908447266 35.6510009765625 35.65700149536133 35.6609992980957 35.67499923706055 35.67900085449219 35.680999755859375 35.685001373291016 35.691001892089844 35.69599914550781 35.70000076293945 35.70800018310547 35.71799850463867 35.722999572753906 35.724998474121094 35.73400115966797 35.744998931884766 35.74800109863281 35.749000549316406 35.7760009765625 35.78099822998047 35.78499984741211 35.78900146484375 35.790000915527344 35.79100036621094 35.79199981689453 35.79600143432617 35.797000885009766 35.79800033569336 35.79999923706055 35.80699920654297 35.808998107910156 35.810001373291016 35.819000244140625 35.821998596191406 35.82400131225586 35.827999114990234 35.83000183105469 35.832000732421875 35.83399963378906 35.83599853515625 35.8380012512207 35.8390007019043 35.84000015258789 35.840999603271484 35.854000091552734 35.861000061035156 35.862998962402344 35.8650016784668 35.86800003051758 35.87200164794922 35.874000549316406 35.88399887084961 35.89799880981445 35.90299987792969 35.90999984741211 35.91699981689453 35.92100143432617 35.926998138427734 35.9370002746582 35.94499969482422 35.95199966430664 35.95899963378906 35.96699905395508 35.979000091552734 35.98699951171875 35.994998931884766 36.005001068115234 36.01100158691406 36.01499938964844 36.020999908447266 36.034000396728516 36.040000915527344 36.042999267578125 36.047000885009766 36.053001403808594 36.05799865722656 36.06100082397461 36.06399917602539 36.073001861572266 36.082000732421875 36.084999084472656 36.090999603271484 36.10200119018555 36.11399841308594 36.132999420166016 36.143001556396484 36.15299987792969 36.1609992980957 36.17499923706055 36.194000244140625 36.20100021362305 36.209999084472656 36.21099853515625 36.2140007019043 36.21500015258789 36.21900177001953 36.2239990234375 36.22700119018555 36.23099899291992 36.23500061035156 36.23899841308594 36.25699996948242 36.262001037597656 36.266998291015625 36.275001525878906 36.284000396728516 36.2859992980957 36.292999267578125 36.301998138427734 36.3120002746582 36.321998596191406 36.32699966430664 36.33100128173828 36.33399963378906 36.334999084472656 36.33700180053711 36.340999603271484 36.34299850463867 36.345001220703125 36.34700012207031 36.349998474121094 36.35100173950195 36.35200119018555 36.35300064086914 36.354000091552734 36.35499954223633 36.35599899291992 36.356998443603516 36.358001708984375 36.35900115966797 36.36000061035156 36.361000061035156 36.36199951171875 36.362998962402344 36.36399841308594 36.3650016784668 36.36600112915039 36.36800003051758 36.36899948120117 36.37099838256836 36.375 36.375999450683594 36.37799835205078 36.37900161743164 36.380001068115234 36.38100051879883 36.38199996948242 36.382999420166016 36.38399887084961 36.3849983215332 36.38600158691406 36.387001037597656 36.38800048828125 36.38999938964844 36.39099884033203 36.391998291015625 36.39400100708008 36.39500045776367 36.395999908447266 36.39699935913086 36.39799880981445 36.39899826049805 36.400001525878906 36.4010009765625 36.40299987792969 36.404998779296875 36.40800094604492 36.409000396728516 36.4109992980957 36.4119987487793 36.41600036621094 36.417999267578125 36.41899871826172 36.422000885009766 36.42599868774414 36.428001403808594 36.43000030517578 36.43199920654297 36.435001373291016 36.4370002746582 36.4379997253418 36.43899917602539 36.444000244140625 36.448001861572266 36.45000076293945 36.45100021362305 36.452999114990234 36.45600128173828  PSU	461 options
oxygen	= (ANY) 2.7899999618530273 2.819999933242798 2.9000000953674316 2.9100000858306885 3.119999885559082 4.46999979019165 4.590000152587891 4.619999885559082 4.630000114440918 4.75 4.760000228881836  milliliters per liter	12 options
nitrite	= (ANY) 0.0 0.009999999776482582 0.019999999552965164 0.029999999329447746 0.05999999865889549 0.14000000059604645  micromols	7 options
nitrate	= (ANY) 0.029999999329447746 0.03999999910593033 0.07999999821186066 0.10000000149011612 0.10999999940395355 9.100000381469727 12.359999656677246 15.520000457763672 19.709999084472656 21.229999542236328  micromols	11 options
phosphate	= (ANY) 0.0 0.009999999776482582 0.019999999552965164 0.029999999329447746 0.44999998807907104 0.6200000047683716 0.8100000023841858 1.059999942779541 1.2000000476837158  micromols	10 options
silicate	= (ANY) 0.25999999046325684 0.7799999713897705 1.0499999523162842 1.1299999952316284 1.1799999475479126 1.3300000429153442 1.409999966621399 2.549999952316284 3.4100000858306885 4.590000152587891 6.880000114440918 8.069999694824219  micromols	13 options
salinity2	= (ANY) 35.73099899291992 35.85200119018555 36.09299850463867 36.09400177001953 36.09600067138672 36.10300064086914 36.22200012207031 36.2859992980957 36.334999084472656 36.358001708984375 36.388999938964844 36.40700149536133  PSU	13 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

 

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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	nitrite	nitrate	phosphate	silicate	salinity2	qualityFlag
m	degree_C	PSU	milliliters per liter	micromols	micromols	micromols	micromols	PSU
6.0	22.19700050354004	35.926998138427734	4.590000152587891	0.0	0.07999999821186066	0.019999999552965164	1.3300000429153442	36.10300064086914	0.0
7.0	22.35099983215332	36.34700012207031	4.619999885559082	0.0	0.07999999821186066	0.009999999776482582	1.1799999475479126	36.09299850463867	0.0
8.0	22.315000534057617	36.35599899291992	4.630000114440918	0.0	0.10999999940395355	0.0	1.1299999952316284	36.09400177001953	0.0
9.0	22.226999282836914	36.356998443603516	4.630000114440918	0.0	0.10999999940395355	0.009999999776482582	1.0499999523162842	36.09600067138672	0.0
10.0	22.163999557495117	36.35599899291992	4.75	0.009999999776482582	0.10000000149011612	0.009999999776482582	1.409999966621399	36.2859992980957	0.0
11.0	22.097000122070312	36.35300064086914	4.760000228881836	0.05999999865889549	0.03999999910593033	0.009999999776482582	0.7799999713897705	36.334999084472656	0.0
12.0	22.086999893188477	36.354000091552734	4.46999979019165	0.14000000059604645	0.029999999329447746	0.029999999329447746	0.25999999046325684	36.358001708984375	0.0
13.0	22.08300018310547	36.35300064086914	3.119999885559082	0.029999999329447746	9.100000381469727	0.44999998807907104	2.549999952316284	36.40700149536133	0.0
14.0	22.08099937438965	36.35300064086914	2.9000000953674316	0.019999999552965164	12.359999656677246	0.6200000047683716	3.4100000858306885	36.388999938964844	0.0
15.0	22.07699966430664	36.349998474121094	2.7899999618530273	0.019999999552965164	15.520000457763672	0.8100000023841858	4.590000152587891	36.22200012207031	0.0
16.0	22.066999435424805	36.349998474121094	2.9100000858306885	0.019999999552965164	19.709999084472656	1.059999942779541	6.880000114440918	35.85200119018555	0.0
17.0	22.073999404907227	36.35300064086914	2.819999933242798	0.019999999552965164	21.229999542236328	1.2000000476837158	8.069999694824219	35.73099899291992	0.0
18.0	22.076000213623047	36.354000091552734							0.0
19.0	22.075000762939453	36.354000091552734							0.0
20.0	22.075000762939453	36.35499954223633							0.0
21.0	22.077999114990234	36.35599899291992							0.0
22.0	22.07900047302246	36.356998443603516							0.0
23.0	22.08099937438965	36.358001708984375							0.0
24.0	22.08300018310547	36.35900115966797							0.0
25.0	22.079999923706055	36.35900115966797							0.0
26.0	22.084999084472656	36.361000061035156							0.0
27.0	22.082000732421875	36.361000061035156							0.0
28.0	22.082000732421875	36.361000061035156							0.0
29.0	22.083999633789062	36.361000061035156							0.0
30.0	22.084999084472656	36.36199951171875							0.0
31.0	22.08099937438965	36.361000061035156							0.0
32.0	22.08099937438965	36.361000061035156							0.0
33.0	22.072999954223633	36.35900115966797							0.0
34.0	22.08099937438965	36.3650016784668							0.0
35.0	22.08300018310547	36.36399841308594							0.0
36.0	22.08099937438965	36.36399841308594							0.0
37.0	22.076000213623047	36.36199951171875							0.0
38.0	22.070999145507812	36.361000061035156							0.0
39.0	22.065000534057617	36.361000061035156							0.0
40.0	22.065000534057617	36.36199951171875							0.0
41.0	22.066999435424805	36.36399841308594							0.0
42.0	22.058000564575195	36.36199951171875							0.0
43.0	22.04400062561035	36.36000061035156							0.0
44.0	22.034000396728516	36.35900115966797							0.0
45.0	22.02899932861328	36.358001708984375							0.0
46.0	22.027000427246094	36.35900115966797							0.0
47.0	22.024999618530273	36.36000061035156							0.0
48.0	22.02400016784668	36.36600112915039							0.0
49.0	22.018999099731445	36.375999450683594							0.0
50.0	21.95199966430664	36.37799835205078							0.0
51.0	21.871999740600586	36.38100051879883							0.0
52.0	21.857999801635742	36.38199996948242							0.0
53.0	21.792999267578125	36.375999450683594							0.0
54.0	21.724000930786133	36.380001068115234							0.0
55.0	21.66200065612793	36.38100051879883							0.0
56.0	21.621000289916992	36.380001068115234							0.0
57.0	21.61400032043457	36.38199996948242							0.0
58.0	21.611000061035156	36.38199996948242							0.0
59.0	21.601999282836914	36.382999420166016							0.0
60.0	21.59000015258789	36.38100051879883							0.0
61.0	21.575000762939453	36.38100051879883							0.0
62.0	21.562999725341797	36.38100051879883							0.0
63.0	21.547000885009766	36.380001068115234							0.0
64.0	21.534000396728516	36.37900161743164							0.0
65.0	21.530000686645508	36.380001068115234							0.0
66.0	21.527999877929688	36.380001068115234							0.0
67.0	21.52899932861328	36.38199996948242							0.0
68.0	21.52899932861328	36.382999420166016							0.0
69.0	21.523000717163086	36.382999420166016							0.0
70.0	21.503000259399414	36.38999938964844							0.0
71.0	21.50200080871582	36.39899826049805							0.0
72.0	21.479999542236328	36.39699935913086							0.0
73.0	21.461999893188477	36.39699935913086							0.0
74.0	21.447999954223633	36.39500045776367							0.0
75.0	21.43600082397461	36.39500045776367							0.0
76.0	21.424999237060547	36.400001525878906							0.0
77.0	21.430999755859375	36.40800094604492							0.0
78.0	21.389999389648438	36.404998779296875							0.0
79.0	21.374000549316406	36.4010009765625							0.0
80.0	21.336999893188477	36.39799880981445							0.0
81.0	21.32200050354004	36.395999908447266							0.0
82.0	21.29800033569336	36.39400100708008							0.0
83.0	21.275999069213867	36.39099884033203							0.0
84.0	21.256999969482422	36.38999938964844							0.0
85.0	21.249000549316406	36.38800048828125							0.0
86.0	21.229999542236328	36.38600158691406							0.0
87.0	21.224000930786133	36.38800048828125							0.0
88.0	21.21299934387207	36.387001037597656							0.0
89.0	21.200000762939453	36.38600158691406							0.0
90.0	21.194000244140625	36.3849983215332							0.0
91.0	21.177000045776367	36.382999420166016							0.0
92.0	21.173999786376953	36.38399887084961							0.0
93.0	21.163000106811523	36.382999420166016							0.0
94.0	21.155000686645508	36.38100051879883							0.0
95.0	21.149999618530273	36.38100051879883							0.0
96.0	21.139999389648438	36.37799835205078							0.0
97.0	21.121999740600586	36.375							0.0
98.0	21.091999053955078	36.36899948120117							0.0
99.0	21.062999725341797	36.362998962402344							0.0
100.0	21.0310001373291	36.361000061035156							0.0
101.0	20.993999481201172	36.35499954223633							0.0
102.0	20.974000930786133	36.35200119018555							0.0
103.0	20.965999603271484	36.349998474121094							0.0
104.0	20.922000885009766	36.340999603271484							0.0
105.0	20.854000091552734	36.334999084472656							0.0
106.0	20.79400062561035	36.33100128173828							0.0
107.0	20.78700065612793	36.33399963378906							0.0
108.0	20.78499984741211	36.33700180053711							0.0
109.0	20.764999389648438	36.334999084472656							0.0
110.0	20.759000778198242	36.34299850463867							0.0
111.0	20.711000442504883	36.36899948120117							0.0
112.0	20.64299964904785	36.38199996948242							0.0
113.0	20.5939998626709	36.391998291015625							0.0
114.0	20.52899932861328	36.40299987792969							0.0
115.0	20.47800064086914	36.417999267578125							0.0
116.0	20.375	36.41899871826172							0.0
117.0	20.239999771118164	36.4109992980957							0.0
118.0	20.226999282836914	36.409000396728516							0.0
119.0	20.18899917602539	36.4010009765625							0.0
120.0	20.156999588012695	36.39899826049805							0.0
121.0	20.082000732421875	36.400001525878906							0.0
122.0	20.048999786376953	36.4379997253418							0.0
123.0	19.975000381469727	36.452999114990234							0.0
124.0	19.958999633789062	36.45600128173828							0.0
125.0	19.916000366210938	36.45000076293945							0.0
126.0	19.774999618530273	36.45600128173828							0.0
127.0	19.746000289916992	36.45100021362305							0.0
128.0	19.69300079345703	36.448001861572266							0.0
129.0	19.648000717163086	36.444000244140625							0.0
130.0	19.582000732421875	36.435001373291016							0.0
131.0	19.507999420166016	36.4379997253418							0.0
132.0	19.336999893188477	36.43199920654297							0.0
133.0	19.173999786376953	36.43899917602539							0.0
134.0	19.06100082397461	36.43899917602539							0.0
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611.0	6.800000190734863	34.89500045776367							0.0
612.0	6.781000137329102	34.893001556396484							0.0
613.0	6.751999855041504	34.893001556396484							0.0
614.0	6.7270002365112305	34.89400100708008							0.0
615.0	6.718999862670898	34.893001556396484							0.0
616.0	6.710000038146973	34.893001556396484							0.0
617.0	6.709000110626221	34.891998291015625							0.0
618.0	6.703999996185303	34.891998291015625							0.0
619.0	6.702000141143799	34.891998291015625							0.0
620.0	6.702000141143799	34.89099884033203							0.0
621.0	6.702000141143799	34.89099884033203							0.0

In total, there are 616 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.
 

---

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.