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Dataset Title:  "Deepwater CTD - n3l08s15.ctd.nc - 28.29N, -86.34W - 1998-07-31" Subscribe RSS
Institution:  Texas A&M University, Department of Oceanography   (Dataset ID: deepwater_n3l08s15_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: 1371)
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   686 options
    temperature ?  =  degree_C   1310 options
    salinity ?  =  PSU   957 options
    oxygen ?  =  milliliters per liter   12 options
    pressure ?  =  decibars   1371 options
    nitrite ?  =  micromols   7 options
    nitrate ?  =  micromols   11 options
    phosphate ?  =  micromols   10 options
    silicate ?  =  micromols   13 options
    salinity2 ?  =  PSU   13 options
    qualityFlag ?  =  2 options

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
2.0 31.347000122070312 26.901100158691406 4.590000152587891 2.5169999599456787 0.0 0.07999999821186066 0.019999999552965164 1.3300000429153442 36.10300064086914 0.0
3.0 31.41390037536621 27.782100677490234 4.619999885559082 3.0199999809265137 0.0 0.07999999821186066 0.009999999776482582 1.1799999475479126 36.09299850463867 0.0
3.0 31.4689998626709 28.60700035095215 4.630000114440918 3.5230000019073486 0.0 0.10999999940395355 0.0 1.1299999952316284 36.09400177001953 0.0
4.0 31.4552001953125 29.08769989013672 4.75 4.53000020980835 0.009999999776482582 0.10000000149011612 0.009999999776482582 1.409999966621399 36.2859992980957 0.0
4.0 31.477500915527344 28.716299057006836 4.630000114440918 4.0269999504089355 0.0 0.10999999940395355 0.009999999776482582 1.0499999523162842 36.09600067138672 0.0
5.0 31.076099395751953 29.695999145507812 4.46999979019165 5.5370001792907715 0.14000000059604645 0.029999999329447746 0.029999999329447746 0.25999999046325684 36.358001708984375 0.0
5.0 31.279300689697266 29.52280044555664 4.760000228881836 5.033999919891357 0.05999999865889549 0.03999999910593033 0.009999999776482582 0.7799999713897705 36.334999084472656 0.0
6.0 30.92099952697754 29.941699981689453 2.9000000953674316 6.544000148773193 0.019999999552965164 12.359999656677246 0.6200000047683716 3.4100000858306885 36.388999938964844 0.0
6.0 30.974599838256836 29.827699661254883 3.119999885559082 6.039999961853027 0.029999999329447746 9.100000381469727 0.44999998807907104 2.549999952316284 36.40700149536133 0.0
7.0 30.937599182128906 30.077899932861328 2.9100000858306885 7.550000190734863 0.019999999552965164 19.709999084472656 1.059999942779541 6.880000114440918 35.85200119018555 0.0
7.0 30.9424991607666 30.028499603271484 2.7899999618530273 7.046999931335449 0.019999999552965164 15.520000457763672 0.8100000023841858 4.590000152587891 36.22200012207031 0.0
8.0 30.93560028076172 30.12929916381836 2.819999933242798 8.053999900817871 0.019999999552965164 21.229999542236328 1.2000000476837158 8.069999694824219 35.73099899291992 0.0
8.0 30.94029998779297 30.2189998626709 8.557000160217285 0.0
9.0 30.993900299072266 30.30579948425293 9.060999870300293 0.0
9.0 31.023799896240234 30.34670066833496 9.564000129699707 0.0
10.0 31.043699264526367 30.396900177001953 10.067000389099121 0.0
10.0 31.060300827026367 30.436800003051758 10.571000099182129 0.0
11.0 31.083099365234375 30.470199584960938 11.074000358581543 0.0
11.0 31.106700897216797 30.518699645996094 11.57699966430664 0.0
12.0 31.09429931640625 30.6643009185791 12.583999633789062 0.0
12.0 31.109399795532227 30.57830047607422 12.081000328063965 0.0
13.0 31.06220054626465 30.787599563598633 13.590999603271484 0.0
13.0 31.082199096679688 30.740699768066406 13.086999893188477 0.0
14.0 31.062700271606445 30.929399490356445 14.597999572753906 0.0
14.0 31.06559944152832 30.846900939941406 14.093999862670898 0.0
15.0 31.068199157714844 31.014400482177734 15.10099983215332 0.0
15.0 31.076099395751953 31.068199157714844 15.604000091552734 0.0
16.0 31.05470085144043 31.329599380493164 16.611000061035156 0.0
16.0 31.072999954223633 31.173500061035156 16.107999801635742 0.0
17.0 30.78019905090332 32.52539825439453 17.618000030517578 0.0
17.0 30.928800582885742 31.850200653076172 17.114999771118164 0.0
18.0 30.619400024414062 33.20159912109375 18.625 0.0
18.0 30.662799835205078 32.769100189208984 18.121000289916992 0.0
19.0 30.712600708007812 33.77939987182617 19.128000259399414 0.0
19.0 30.725299835205078 34.053001403808594 19.631999969482422 0.0
20.0 30.099700927734375 34.32400131225586 20.63800048828125 0.0
20.0 30.592599868774414 34.19609832763672 20.135000228881836 0.0
21.0 29.42770004272461 34.55860137939453 21.645000457763672 0.0
21.0 29.591899871826172 34.31290054321289 21.142000198364258 0.0
22.0 29.40519905090332 34.765899658203125 22.148000717163086 0.0
22.0 29.563899993896484 34.878299713134766 22.652000427246094 0.0
23.0 29.707700729370117 34.96590042114258 23.155000686645508 0.0
23.0 29.84630012512207 35.06949996948242 23.659000396728516 0.0
24.0 29.842500686645508 35.30179977416992 24.665000915527344 0.0
24.0 29.913700103759766 35.20399856567383 24.16200065612793 0.0
25.0 29.771299362182617 35.50120162963867 25.672000885009766 0.0
25.0 29.783000946044922 35.434898376464844 25.16900062561035 0.0
26.0 29.618900299072266 35.55329895019531 26.679000854492188 0.0
26.0 29.745100021362305 35.56019973754883 26.176000595092773 0.0
27.0 29.42289924621582 35.49190139770508 27.68600082397461 0.0
27.0 29.560699462890625 35.554298400878906 27.183000564575195 0.0
28.0 28.912599563598633 35.3291015625 28.69300079345703 0.0
28.0 29.08839988708496 35.36940002441406 28.18899917602539 0.0
29.0 28.597900390625 35.360198974609375 29.700000762939453 0.0
29.0 28.757200241088867 35.30929946899414 29.195999145507812 0.0
30.0 28.472000122070312 35.53150177001953 30.707000732421875 0.0
30.0 28.53849983215332 35.428199768066406 30.202999114990234 0.0
31.0 28.431800842285156 35.633201599121094 31.209999084472656 0.0
31.0 28.44860076904297 35.679100036621094 31.71299934387207 0.0
32.0 28.341699600219727 35.82870101928711 32.720001220703125 0.0
32.0 28.409799575805664 35.73540115356445 32.21699905395508 0.0
33.0 28.229400634765625 35.91630172729492 33.72700119018555 0.0
33.0 28.311599731445312 35.88779830932617 33.2239990234375 0.0
34.0 28.154600143432617 35.95989990234375 34.73400115966797 0.0
34.0 28.194299697875977 35.954898834228516 34.22999954223633 0.0
35.0 28.099300384521484 35.96500015258789 35.74100112915039 0.0
35.0 28.136499404907227 35.96229934692383 35.23699951171875 0.0
36.0 27.89069938659668 35.91389846801758 36.74800109863281 0.0
36.0 28.048999786376953 35.957298278808594 36.24399948120117 0.0
37.0 26.684900283813477 35.83599853515625 37.75400161743164 0.0
37.0 27.09269905090332 35.817501068115234 37.250999450683594 0.0
38.0 26.054000854492188 35.770599365234375 38.76100158691406 0.0
38.0 26.441499710083008 35.7849006652832 38.257999420166016 0.0
39.0 24.969999313354492 35.690101623535156 39.768001556396484 0.0
39.0 25.77090072631836 35.74359893798828 39.26499938964844 0.0
40.0 23.824800491333008 35.58539962768555 40.775001525878906 0.0
40.0 24.518999099731445 35.643798828125 40.27199935913086 0.0
41.0 23.210800170898438 35.54759979248047 41.78200149536133 0.0
41.0 23.40060043334961 35.552398681640625 41.27899932861328 0.0
42.0 23.158599853515625 35.5614013671875 42.28499984741211 0.0
42.0 23.18600082397461 35.619998931884766 42.78900146484375 0.0
43.0 22.94029998779297 35.721500396728516 43.79600143432617 0.0
43.0 23.060199737548828 35.68450164794922 43.29199981689453 0.0
44.0 22.827800750732422 35.76490020751953 44.803001403808594 0.0
44.0 22.875699996948242 35.75090026855469 44.29899978637695 0.0
45.0 22.654699325561523 35.768001556396484 45.810001373291016 0.0
45.0 22.74329948425293 35.76810073852539 45.305999755859375 0.0
46.0 22.444900512695312 35.756099700927734 46.81700134277344 0.0
46.0 22.60759925842285 35.76219940185547 46.3129997253418 0.0
47.0 22.394899368286133 35.77619934082031 47.31999969482422 0.0
47.0 22.41080093383789 35.8406982421875 47.82400131225586 0.0
48.0 22.29159927368164 35.87699890136719 48.83000183105469 0.0
48.0 22.364599227905273 35.85810089111328 48.32699966430664 0.0
49.0 22.261999130249023 35.884498596191406 49.83700180053711 0.0
49.0 22.273099899291992 35.88290023803711 49.33399963378906 0.0
50.0 22.204500198364258 35.88520050048828 50.84400177001953 0.0
50.0 22.23699951171875 35.88410186767578 50.340999603271484 0.0
51.0 22.12579917907715 35.8911018371582 51.85100173950195 0.0
51.0 22.16939926147461 35.88560104370117 51.347999572753906 0.0
52.0 21.975200653076172 35.976200103759766 52.858001708984375 0.0
52.0 22.052000045776367 35.927799224853516 52.35499954223633 0.0
53.0 21.826000213623047 36.04460144042969 53.8650016784668 0.0
53.0 21.917800903320312 36.01539993286133 53.36199951171875 0.0
54.0 21.39539909362793 36.05039978027344 54.87200164794922 0.0
54.0 21.59830093383789 36.06480026245117 54.36899948120117 0.0
55.0 21.1427001953125 36.03779983520508 55.87900161743164 0.0
55.0 21.237499237060547 36.04010009765625 55.375999450683594 0.0
56.0 21.066699981689453 36.036800384521484 56.88600158691406 0.0
56.0 21.0718994140625 36.04010009765625 56.382999420166016 0.0
57.0 21.017499923706055 36.0364990234375 57.893001556396484 0.0
57.0 21.047399520874023 36.0359001159668 57.38999938964844 0.0
58.0 20.992399215698242 36.03850173950195 58.900001525878906 0.0
58.0 21.00149917602539 36.037498474121094 58.39699935913086 0.0
59.0 20.96820068359375 36.038299560546875 59.90700149536133 0.0
59.0 20.98819923400879 36.03860092163086 59.40399932861328 0.0
60.0 20.843599319458008 36.04309844970703 60.91400146484375 0.0
60.0 20.888200759887695 36.03960037231445 60.4109992980957 0.0
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495.0 6.61959981918335 34.89849853515625 498.9150085449219 0.0
496.0 6.611199855804443 34.89799880981445 500.4289855957031 0.0
496.0 6.613800048828125 34.898101806640625 499.92401123046875 0.0
497.0 6.609499931335449 34.898101806640625 501.43798828125 0.0
497.0 6.610099792480469 34.898101806640625 500.9330139160156 0.0
498.0 6.60230016708374 34.898101806640625 502.4469909667969 0.0
498.0 6.605999946594238 34.89799880981445 501.9419860839844 0.0
499.0 6.593699932098389 34.898101806640625 503.45599365234375 0.0
499.0 6.598999977111816 34.89820098876953 502.95098876953125 0.0
500.0 6.5854997634887695 34.89789962768555 504.4649963378906 0.0
500.0 6.587800025939941 34.89789962768555 503.96099853515625 0.0
501.0 6.573200225830078 34.89720153808594 505.4739990234375 0.0
501.0 6.579899787902832 34.897300720214844 504.9700012207031 0.0
502.0 6.561500072479248 34.89649963378906 506.4830017089844 0.0

In total, there are 1371 rows of distinct combinations of the variables listed above.
The first 1000 rows are shown above. The remaining 371 rows aren't being shown.
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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