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Dataset Title:  "Deepwater CTD - n3l07s13.ctd.nc - 28.7N, -86.61W - 1998-00-01" Subscribe RSS
Institution:  Texas A&M University, Department of Oceanography   (Dataset ID: deepwater_n3l07s13_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: 987)
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   494 options
    temperature ?  =  degree_C   958 options
    salinity ?  =  PSU   918 options
    oxygen ?  =  milliliters per liter   12 options
    pressure ?  =  decibars   987 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 31.4242000579834 27.636499404907227 4.619999885559082 3.5230000019073486 0.0 0.07999999821186066 0.009999999776482582 1.1799999475479126 36.09299850463867 0.0
3.0 31.47209930419922 27.846799850463867 4.590000152587891 3.0199999809265137 0.0 0.07999999821186066 0.019999999552965164 1.3300000429153442 36.10300064086914 0.0
4.0 31.416099548339844 27.61590003967285 4.630000114440918 4.0269999504089355 0.0 0.10999999940395355 0.0 1.1299999952316284 36.09400177001953 0.0
4.0 31.438100814819336 27.67609977722168 4.630000114440918 4.53000020980835 0.0 0.10999999940395355 0.009999999776482582 1.0499999523162842 36.09600067138672 0.0
5.0 31.49449920654297 27.919099807739258 4.75 5.033999919891357 0.009999999776482582 0.10000000149011612 0.009999999776482582 1.409999966621399 36.2859992980957 0.0
5.0 31.552000045776367 28.58810043334961 4.760000228881836 5.5370001792907715 0.05999999865889549 0.03999999910593033 0.009999999776482582 0.7799999713897705 36.334999084472656 0.0
6.0 31.467500686645508 29.785400390625 3.119999885559082 6.544000148773193 0.029999999329447746 9.100000381469727 0.44999998807907104 2.549999952316284 36.40700149536133 0.0
6.0 31.515100479125977 29.158700942993164 4.46999979019165 6.039999961853027 0.14000000059604645 0.029999999329447746 0.029999999329447746 0.25999999046325684 36.358001708984375 0.0
7.0 31.271499633789062 32.724098205566406 2.7899999618530273 7.550000190734863 0.019999999552965164 15.520000457763672 0.8100000023841858 4.590000152587891 36.22200012207031 0.0
7.0 31.408599853515625 31.58650016784668 2.9000000953674316 7.046999931335449 0.019999999552965164 12.359999656677246 0.6200000047683716 3.4100000858306885 36.388999938964844 0.0
8.0 31.14150047302246 33.615501403808594 2.819999933242798 8.557000160217285 0.019999999552965164 21.229999542236328 1.2000000476837158 8.069999694824219 35.73099899291992 0.0
8.0 31.202800750732422 33.2958984375 2.9100000858306885 8.053999900817871 0.019999999552965164 19.709999084472656 1.059999942779541 6.880000114440918 35.85200119018555 0.0
9.0 31.033000946044922 33.85319900512695 9.564000129699707 0.0
9.0 31.07819938659668 33.78129959106445 9.060999870300293 0.0
10.0 30.98080062866211 34.05339813232422 10.571000099182129 0.0
10.0 31.024200439453125 33.95819854736328 10.067000389099121 0.0
11.0 30.212299346923828 34.04759979248047 11.57699966430664 0.0
11.0 30.892499923706055 34.1077995300293 11.074000358581543 0.0
12.0 29.946500778198242 34.209999084472656 12.583999633789062 0.0
12.0 30.029199600219727 34.13800048828125 12.081000328063965 0.0
13.0 29.80030059814453 34.30649948120117 13.590999603271484 0.0
13.0 29.878799438476562 34.287498474121094 13.088000297546387 0.0
14.0 29.67799949645996 34.50859832763672 14.597999572753906 0.0
14.0 29.734500885009766 34.371498107910156 14.093999862670898 0.0
15.0 29.861600875854492 34.785099029541016 15.10099983215332 0.0
15.0 30.000200271606445 34.98189926147461 15.604000091552734 0.0
16.0 30.0403995513916 35.11869812011719 16.107999801635742 0.0
16.0 30.084400177001953 35.23939895629883 16.611000061035156 0.0
17.0 30.024599075317383 35.350799560546875 17.618000030517578 0.0
17.0 30.09869956970215 35.332000732421875 17.114999771118164 0.0
18.0 30.03969955444336 35.40729904174805 18.121000289916992 0.0
18.0 30.05139923095703 35.438899993896484 18.625 0.0
19.0 29.97610092163086 35.48350143432617 19.631999969482422 0.0
19.0 30.01569938659668 35.455101013183594 19.128000259399414 0.0
20.0 29.868600845336914 35.541500091552734 20.63800048828125 0.0
20.0 29.913999557495117 35.50389862060547 20.135000228881836 0.0
21.0 29.739200592041016 35.63169860839844 21.645000457763672 0.0
21.0 29.807600021362305 35.58420181274414 21.142000198364258 0.0
22.0 29.696800231933594 35.71009826660156 22.14900016784668 0.0
22.0 29.701000213623047 35.80099868774414 22.652000427246094 0.0
23.0 29.6825008392334 35.859100341796875 23.659000396728516 0.0
23.0 29.689800262451172 35.82400131225586 23.155000686645508 0.0
24.0 29.594600677490234 35.941001892089844 24.666000366210938 0.0
24.0 29.62380027770996 35.90420150756836 24.16200065612793 0.0
25.0 29.571399688720703 36.00899887084961 25.672000885009766 0.0
25.0 29.591999053955078 35.97700119018555 25.16900062561035 0.0
26.0 29.547399520874023 36.04840087890625 26.176000595092773 0.0
26.0 29.568899154663086 36.09000015258789 26.679000854492188 0.0
27.0 29.542699813842773 36.158599853515625 27.68600082397461 0.0
27.0 29.579200744628906 36.14680099487305 27.183000564575195 0.0
28.0 29.510799407958984 36.16120147705078 28.18899917602539 0.0
28.0 29.548099517822266 36.22370147705078 28.69300079345703 0.0
29.0 29.507200241088867 36.259700775146484 29.700000762939453 0.0
29.0 29.5492000579834 36.25920104980469 29.195999145507812 0.0
30.0 29.406299591064453 36.266300201416016 30.70599937438965 0.0
30.0 29.463899612426758 36.25920104980469 30.202999114990234 0.0
31.0 29.270999908447266 36.29819869995117 31.71299934387207 0.0
31.0 29.301000595092773 36.26639938354492 31.209999084472656 0.0
32.0 29.075599670410156 36.28799819946289 32.21699905395508 0.0
32.0 29.0762996673584 36.35409927368164 32.720001220703125 0.0
33.0 29.103099822998047 36.404701232910156 33.2239990234375 0.0
33.0 29.1742000579834 36.49489974975586 33.72700119018555 0.0
34.0 29.02680015563965 36.47140121459961 34.73400115966797 0.0
34.0 29.14109992980957 36.48419952392578 34.22999954223633 0.0
35.0 28.888599395751953 36.46649932861328 35.74100112915039 0.0
35.0 28.92300033569336 36.47100067138672 35.23699951171875 0.0
36.0 28.546100616455078 36.4276008605957 36.74800109863281 0.0
36.0 28.70709991455078 36.4375 36.24399948120117 0.0
37.0 28.31839942932129 36.403499603271484 37.755001068115234 0.0
37.0 28.452800750732422 36.420799255371094 37.250999450683594 0.0
38.0 28.07040023803711 36.37580108642578 38.76100158691406 0.0
38.0 28.1643009185791 36.38850021362305 38.257999420166016 0.0
39.0 27.60140037536621 36.33430099487305 39.768001556396484 0.0
39.0 27.88610076904297 36.34189987182617 39.26499938964844 0.0
40.0 27.170499801635742 36.34349822998047 40.775001525878906 0.0
40.0 27.26259994506836 36.34080123901367 40.27199935913086 0.0
41.0 26.986400604248047 36.35100173950195 41.78200149536133 0.0
41.0 27.08209991455078 36.347198486328125 41.27899932861328 0.0
42.0 26.608200073242188 36.33219909667969 42.78900146484375 0.0
42.0 26.81719970703125 36.3401985168457 42.28499984741211 0.0
43.0 26.34469985961914 36.32429885864258 43.79600143432617 0.0
43.0 26.482900619506836 36.3317985534668 43.29199981689453 0.0
44.0 26.118999481201172 36.33940124511719 44.803001403808594 0.0
44.0 26.24329948425293 36.33319854736328 44.29899978637695 0.0
45.0 25.841800689697266 36.31769943237305 45.810001373291016 0.0
45.0 26.012300491333008 36.33549880981445 45.305999755859375 0.0
46.0 25.514799118041992 36.30179977416992 46.81700134277344 0.0
46.0 25.662099838256836 36.307899475097656 46.3129997253418 0.0
47.0 25.37619972229004 36.300498962402344 47.823001861572266 0.0
47.0 25.431100845336914 36.29899978637695 47.31999969482422 0.0
48.0 25.276100158691406 36.30659866333008 48.83000183105469 0.0
48.0 25.313800811767578 36.303001403808594 48.32699966430664 0.0
49.0 25.08639907836914 36.293800354003906 49.83700180053711 0.0
49.0 25.244400024414062 36.30220031738281 49.33399963378906 0.0
50.0 24.868200302124023 36.299598693847656 50.84400177001953 0.0
50.0 24.93600082397461 36.296199798583984 50.340999603271484 0.0
51.0 24.70829963684082 36.30860137939453 51.85100173950195 0.0
51.0 24.819000244140625 36.30830001831055 51.347999572753906 0.0
52.0 24.61549949645996 36.3578987121582 52.858001708984375 0.0
52.0 24.645099639892578 36.34590148925781 52.35499954223633 0.0
53.0 24.4468994140625 36.35129928588867 53.8650016784668 0.0
53.0 24.52739906311035 36.35459899902344 53.36199951171875 0.0
54.0 24.353200912475586 36.352901458740234 54.87200164794922 0.0
54.0 24.390899658203125 36.35240173339844 54.36899948120117 0.0
55.0 24.223899841308594 36.33980178833008 55.87900161743164 0.0
55.0 24.30500030517578 36.349300384521484 55.375999450683594 0.0
56.0 24.122699737548828 36.349300384521484 56.88600158691406 0.0
56.0 24.148399353027344 36.34159851074219 56.382999420166016 0.0
57.0 24.053800582885742 36.35169982910156 57.893001556396484 0.0
57.0 24.109500885009766 36.35409927368164 57.38999938964844 0.0
58.0 23.935699462890625 36.34960174560547 58.900001525878906 0.0
58.0 23.993000030517578 36.35049819946289 58.39699935913086 0.0
59.0 23.773799896240234 36.3583984375 59.90700149536133 0.0
59.0 23.84589958190918 36.359798431396484 59.40299987792969 0.0
60.0 23.71030044555664 36.356998443603516 60.91400146484375 0.0
60.0 23.7367000579834 36.357200622558594 60.4109992980957 0.0
61.0 23.69969940185547 36.36389923095703 61.41699981689453 0.0
61.0 23.702800750732422 36.37480163574219 61.92100143432617 0.0
62.0 23.61680030822754 36.381099700927734 62.928001403808594 0.0
62.0 23.65559959411621 36.375 62.42399978637695 0.0
63.0 23.55270004272461 36.380001068115234 63.935001373291016 0.0
63.0 23.58799934387207 36.38130187988281 63.430999755859375 0.0
64.0 23.416400909423828 36.368499755859375 64.94200134277344 0.0
64.0 23.499399185180664 36.376800537109375 64.43900299072266 0.0
65.0 23.291200637817383 36.37030029296875 65.9489974975586 0.0
65.0 23.344900131225586 36.37030029296875 65.44599914550781 0.0
66.0 23.2283992767334 36.36790084838867 66.95600128173828 0.0
66.0 23.257699966430664 36.37049865722656 66.4530029296875 0.0
67.0 23.148700714111328 36.361000061035156 67.96299743652344 0.0
67.0 23.18589973449707 36.3650016784668 67.45999908447266 0.0
68.0 23.00119972229004 36.35110092163086 68.97000122070312 0.0
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69.0 22.946399688720703 36.34769821166992 69.4739990234375 0.0
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73.0 22.589099884033203 36.32590103149414 74.00499725341797 0.0
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74.0 22.479700088500977 36.31949996948242 75.01200103759766 0.0
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75.0 22.335599899291992 36.31480026245117 76.01899719238281 0.0
75.0 22.426599502563477 36.320701599121094 75.51599884033203 0.0
76.0 22.171600341796875 36.30699920654297 77.0270004272461 0.0
76.0 22.22209930419922 36.310699462890625 76.52300262451172 0.0
77.0 22.1343994140625 36.315399169921875 78.03299713134766 0.0
77.0 22.148300170898438 36.30780029296875 77.52999877929688 0.0
78.0 22.069900512695312 36.3317985534668 79.04100036621094 0.0
78.0 22.097700119018555 36.317501068115234 78.53700256347656 0.0
79.0 22.04199981689453 36.36869812011719 80.0479965209961 0.0
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87.0 21.54949951171875 36.339698791503906 88.1050033569336 0.0
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88.0 21.491300582885742 36.33620071411133 88.60800170898438 0.0
89.0 21.457199096679688 36.349998474121094 90.11900329589844 0.0
89.0 21.475799560546875 36.35430145263672 89.61499786376953 0.0
90.0 21.42060089111328 36.33810043334961 91.1259994506836 0.0
90.0 21.440000534057617 36.34450149536133 90.62300109863281 0.0
91.0 21.358299255371094 36.32720184326172 92.13300323486328 0.0
91.0 21.39299964904785 36.3306999206543 91.62999725341797 0.0
92.0 21.295400619506836 36.32059860229492 93.13999938964844 0.0
92.0 21.324600219726562 36.32400131225586 92.63700103759766 0.0
93.0 21.23590087890625 36.319698333740234 94.14800262451172 0.0
93.0 21.263399124145508 36.31930160522461 93.64399719238281 0.0
94.0 21.130199432373047 36.30860137939453 95.15499877929688 0.0
94.0 21.18779945373535 36.31480026245117 94.6510009765625 0.0
95.0 21.037900924682617 36.30160140991211 96.16200256347656 0.0
95.0 21.07939910888672 36.30459976196289 95.65799713134766 0.0
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96.0 20.947599411010742 36.286800384521484 96.66500091552734 0.0
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101.0 20.212299346923828 36.194400787353516 102.20500183105469 0.0
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103.0 20.123300552368164 36.225799560546875 104.21900177001953 0.0
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110.0 19.741199493408203 36.36899948120117 110.76599884033203 0.0
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496.0 8.361200332641602 35.01279830932617 499.92401123046875 0.0

In total, there are 987 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.


 
ERDDAP, Version 2.23
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