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Dataset Title:  "Deepwater CTD - n3l10s15.ctd.nc - 27.96N, -85.07W - 1998-07-29" Subscribe RSS
Institution:  Texas A&M University, Department of Oceanography   (Dataset ID: deepwater_n3l10s15_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: 609)
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   305 options
    temperature ?  =  degree_C   608 options
    salinity ?  =  PSU   587 options
    oxygen ?  =  milliliters per liter   12 options
    pressure ?  =  decibars   609 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 pressure nitrite nitrate phosphate silicate salinity2 qualityFlag
m degree_C PSU milliliters per liter decibars micromols micromols micromols micromols PSU
3.0 31.189800262451172 30.578500747680664 4.619999885559082 3.5230000019073486 0.0 0.07999999821186066 0.009999999776482582 1.1799999475479126 36.09299850463867 0.0
3.0 31.197099685668945 30.578100204467773 4.590000152587891 3.0199999809265137 0.0 0.07999999821186066 0.019999999552965164 1.3300000429153442 36.10300064086914 0.0
4.0 31.192100524902344 30.57859992980957 4.630000114440918 4.53000020980835 0.0 0.10999999940395355 0.009999999776482582 1.0499999523162842 36.09600067138672 0.0
4.0 31.192899703979492 30.578399658203125 4.630000114440918 4.0269999504089355 0.0 0.10999999940395355 0.0 1.1299999952316284 36.09400177001953 0.0
5.0 31.1835994720459 30.579999923706055 4.760000228881836 5.5370001792907715 0.05999999865889549 0.03999999910593033 0.009999999776482582 0.7799999713897705 36.334999084472656 0.0
5.0 31.190900802612305 30.578899383544922 4.75 5.0329999923706055 0.009999999776482582 0.10000000149011612 0.009999999776482582 1.409999966621399 36.2859992980957 0.0
6.0 30.970800399780273 30.630599975585938 3.119999885559082 6.544000148773193 0.029999999329447746 9.100000381469727 0.44999998807907104 2.549999952316284 36.40700149536133 0.0
6.0 31.120399475097656 30.59239959716797 4.46999979019165 6.039999961853027 0.14000000059604645 0.029999999329447746 0.029999999329447746 0.25999999046325684 36.358001708984375 0.0
7.0 30.97760009765625 30.71489906311035 2.9000000953674316 7.046999931335449 0.019999999552965164 12.359999656677246 0.6200000047683716 3.4100000858306885 36.388999938964844 0.0
7.0 30.993000030517578 30.785999298095703 2.7899999618530273 7.550000190734863 0.019999999552965164 15.520000457763672 0.8100000023841858 4.590000152587891 36.22200012207031 0.0
8.0 30.879899978637695 30.879100799560547 2.819999933242798 8.557000160217285 0.019999999552965164 21.229999542236328 1.2000000476837158 8.069999694824219 35.73099899291992 0.0
8.0 30.950199127197266 30.816499710083008 2.9100000858306885 8.053999900817871 0.019999999552965164 19.709999084472656 1.059999942779541 6.880000114440918 35.85200119018555 0.0
9.0 30.503400802612305 31.27630043029785 9.564000129699707 0.0
9.0 30.625600814819336 31.094100952148438 9.0600004196167 0.0
10.0 30.42650032043457 31.405000686645508 10.571000099182129 0.0
10.0 30.472400665283203 31.322599411010742 10.067000389099121 0.0
11.0 30.30340003967285 31.457000732421875 11.57699966430664 0.0
11.0 30.377700805664062 31.441999435424805 11.074000358581543 0.0
12.0 30.27560043334961 31.550399780273438 12.081000328063965 0.0
12.0 30.291799545288086 31.80109977722168 12.583999633789062 0.0
13.0 30.186800003051758 32.10900115966797 13.590999603271484 0.0
13.0 30.249300003051758 31.92840003967285 13.086999893188477 0.0
14.0 30.00189971923828 32.82320022583008 14.597999572753906 0.0
14.0 30.14109992980957 32.25870132446289 14.093999862670898 0.0
15.0 29.609699249267578 33.92210006713867 15.604000091552734 0.0
15.0 29.77050018310547 33.58449935913086 15.10099983215332 0.0
16.0 29.219200134277344 34.29859924316406 16.611000061035156 0.0
16.0 29.392900466918945 34.132598876953125 16.107999801635742 0.0
17.0 29.081100463867188 34.427398681640625 17.618000030517578 0.0
17.0 29.13360023498535 34.39070129394531 17.114999771118164 0.0
18.0 29.014999389648438 34.51470184326172 18.625 0.0
18.0 29.040000915527344 34.4379997253418 18.121000289916992 0.0
19.0 28.949899673461914 34.67210006713867 19.128000259399414 0.0
19.0 28.958999633789062 35.148799896240234 19.631000518798828 0.0
20.0 28.848899841308594 35.41210174560547 20.63800048828125 0.0
20.0 28.849199295043945 35.34120178222656 20.135000228881836 0.0
21.0 28.886899948120117 35.474098205566406 21.142000198364258 0.0
21.0 28.910999298095703 35.52539825439453 21.645000457763672 0.0
22.0 28.772899627685547 35.5791015625 22.652000427246094 0.0
22.0 28.875499725341797 35.55110168457031 22.14900016784668 0.0
23.0 28.525800704956055 35.75339889526367 23.659000396728516 0.0
23.0 28.690799713134766 35.61859893798828 23.155000686645508 0.0
24.0 28.28030014038086 35.964500427246094 24.666000366210938 0.0
24.0 28.345300674438477 35.92380142211914 24.16200065612793 0.0
25.0 28.08209991455078 35.960601806640625 25.672000885009766 0.0
25.0 28.194499969482422 35.9650993347168 25.16900062561035 0.0
26.0 27.856399536132812 35.956199645996094 26.679000854492188 0.0
26.0 27.97599983215332 35.956298828125 26.176000595092773 0.0
27.0 27.628400802612305 35.98080062866211 27.68600082397461 0.0
27.0 27.737499237060547 35.954898834228516 27.183000564575195 0.0
28.0 27.427900314331055 36.0546989440918 28.69300079345703 0.0
28.0 27.496200561523438 36.037498474121094 28.18899917602539 0.0
29.0 27.282699584960938 36.057098388671875 29.700000762939453 0.0
29.0 27.366899490356445 36.05550003051758 29.195999145507812 0.0
30.0 27.15239906311035 36.081600189208984 30.70599937438965 0.0
30.0 27.210399627685547 36.05979919433594 30.202999114990234 0.0
31.0 26.618499755859375 36.12630081176758 31.71299934387207 0.0
31.0 26.851900100708008 36.0786018371582 31.209999084472656 0.0
32.0 26.497800827026367 36.16230010986328 32.21699905395508 0.0
32.0 26.509899139404297 36.18280029296875 32.720001220703125 0.0
33.0 26.176300048828125 36.15760040283203 33.72700119018555 0.0
33.0 26.39900016784668 36.169498443603516 33.2239990234375 0.0
34.0 26.029600143432617 36.14189910888672 34.73400115966797 0.0
34.0 26.074199676513672 36.14860153198242 34.22999954223633 0.0
35.0 25.796899795532227 36.124000549316406 35.74100112915039 0.0
35.0 25.91119956970215 36.12710189819336 35.23699951171875 0.0
36.0 25.45319938659668 36.08169937133789 36.74800109863281 0.0
36.0 25.655500411987305 36.11280059814453 36.24399948120117 0.0
37.0 25.069499969482422 36.02880096435547 37.75400161743164 0.0
37.0 25.208499908447266 36.057899475097656 37.250999450683594 0.0
38.0 24.601200103759766 35.976898193359375 38.76100158691406 0.0
38.0 24.849199295043945 35.99599838256836 38.257999420166016 0.0
39.0 24.24329948425293 35.95399856567383 39.768001556396484 0.0
39.0 24.454700469970703 35.97309875488281 39.26499938964844 0.0
40.0 24.028099060058594 36.010799407958984 40.775001525878906 0.0
40.0 24.066499710083008 35.974700927734375 40.27199935913086 0.0
41.0 24.007099151611328 36.172000885009766 41.78200149536133 0.0
41.0 24.01490020751953 36.08660125732422 41.27899932861328 0.0
42.0 23.788799285888672 36.178001403808594 42.78900146484375 0.0
42.0 23.972299575805664 36.2036018371582 42.2859992980957 0.0
43.0 23.492599487304688 36.15530014038086 43.79600143432617 0.0
43.0 23.661500930786133 36.16960144042969 43.29199981689453 0.0
44.0 23.19070053100586 36.143699645996094 44.803001403808594 0.0
44.0 23.33650016784668 36.15119934082031 44.29899978637695 0.0
45.0 23.030799865722656 36.19620132446289 45.810001373291016 0.0
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47.0 22.685800552368164 36.18370056152344 47.31999969482422 0.0
48.0 22.345600128173828 36.12990188598633 48.83000183105469 0.0
48.0 22.44890022277832 36.143699645996094 48.32699966430664 0.0
49.0 22.2012996673584 36.123199462890625 49.83700180053711 0.0
49.0 22.24720001220703 36.118900299072266 49.33399963378906 0.0
50.0 22.189199447631836 36.15290069580078 50.84400177001953 0.0
50.0 22.20319938659668 36.145999908447266 50.340999603271484 0.0
51.0 22.004600524902344 36.13999938964844 51.85100173950195 0.0
51.0 22.13360023498535 36.152801513671875 51.347999572753906 0.0
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52.0 21.910900115966797 36.13600158691406 52.35499954223633 0.0
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53.0 21.797800064086914 36.1869010925293 53.8650016784668 0.0
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57.0 21.124300003051758 36.09040069580078 57.893001556396484 0.0
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58.0 21.09510040283203 36.094200134277344 58.39699935913086 0.0
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304.0 10.404600143432617 35.26029968261719 306.7659912109375 0.0
304.0 10.404800415039062 35.258399963378906 306.2619934082031 0.0
305.0 10.398500442504883 35.260398864746094 307.77398681640625 0.0
305.0 10.399299621582031 35.260101318359375 307.2699890136719 0.0
306.0 10.397000312805176 35.26029968261719 308.7829895019531 0.0
306.0 10.400899887084961 35.260398864746094 308.27801513671875 0.0
307.0 10.398699760437012 35.26070022583008 309.2869873046875 0.0

In total, there are 609 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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