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Dataset Title:  "Deepwater CTD - d92a052.ctd.nc - 27.94N, -91.54W - 1992-05-04" Subscribe RSS
Institution:  Texas A&M University, Department of Oceanography   (Dataset ID: deepwater_d92a052_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: 434)
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   217 options
    temperature ?  =  degree_C   433 options
    salinity ?  =  PSU   414 options
    oxygen ?  =  milliliters per liter   2 options
    pressure ?  =  decibars   434 options
    nitrite ?  =  micromols   8 options
    nitrate ?  =  micromols   12 options
    phosphate ?  =  micromols   10 options
    silicate ?  =  micromols   13 options
    salinity2 ?  =  PSU   2 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
2.0 23.087799072265625 35.7317008972168 -9.0 2.5169999599456787 0.03999999910593033 0.3100000023841858 0.05000000074505806 0.6700000166893005 -9.0 0.0
2.0 23.11319923400879 35.731998443603516 -9.0 2.0139999389648438 0.05000000074505806 0.46000000834465027 0.07000000029802322 0.8500000238418579 -9.0 0.0
3.0 23.05299949645996 35.73030090332031 -9.0 3.5239999294281006 0.03999999910593033 0.2800000011920929 0.05000000074505806 0.4699999988079071 -9.0 0.0
3.0 23.058500289916992 35.730899810791016 -9.0 3.0199999809265137 0.03999999910593033 0.2800000011920929 0.05000000074505806 0.699999988079071 -9.0 0.0
4.0 23.033300399780273 35.73109817504883 -9.0 4.53000020980835 0.05000000074505806 0.28999999165534973 0.05000000074505806 0.8700000047683716 -9.0 0.0
4.0 23.038799285888672 35.73109817504883 -9.0 4.0269999504089355 0.12999999523162842 0.7900000214576721 0.07999999821186066 0.8299999833106995 -9.0 0.0
5.0 23.014799118041992 35.730201721191406 -9.0 5.5370001792907715 0.1599999964237213 8.8100004196167 0.5299999713897705 3.869999885559082 -9.0 0.0
5.0 23.025100708007812 35.731201171875 -9.0 5.033999919891357 0.25 3.759999990463257 0.23999999463558197 2.0299999713897705 -9.0 0.0
6.0 23.005199432373047 35.729000091552734 -9.0 6.544000148773193 0.07999999821186066 15.600000381469727 0.9800000190734863 8.079999923706055 -9.0 0.0
6.0 23.008699417114258 35.72930145263672 -9.0 6.039999961853027 0.10000000149011612 11.989999771118164 0.7200000286102295 5.429999828338623 -9.0 0.0
7.0 23.002199172973633 35.72909927368164 -9.0 7.551000118255615 0.10000000149011612 21.3799991607666 1.3899999856948853 10.0 -9.0 0.0
7.0 23.005800247192383 35.729400634765625 -9.0 7.046999931335449 0.07999999821186066 17.540000915527344 1.1200000047683716 8.800000190734863 -9.0 0.0
8.0 22.992300033569336 35.72819900512695 8.557000160217285 0.0
8.0 22.999399185180664 35.729000091552734 8.053999900817871 0.0
9.0 22.975099563598633 35.725799560546875 9.564000129699707 0.0
9.0 22.98710060119629 35.72760009765625 9.060999870300293 0.0
10.0 22.949100494384766 35.722801208496094 10.571000099182129 0.0
10.0 22.96109962463379 35.72420120239258 10.067999839782715 0.0
11.0 22.934499740600586 35.71989822387695 11.57800006866455 0.0
11.0 22.942399978637695 35.72159957885742 11.074000358581543 0.0
12.0 22.92970085144043 35.71950149536133 12.081000328063965 0.0
12.0 22.933799743652344 35.72019958496094 12.585000038146973 0.0
13.0 22.927400588989258 35.71950149536133 13.590999603271484 0.0
13.0 22.931699752807617 35.71979904174805 13.088000297546387 0.0
14.0 22.917600631713867 35.71739959716797 14.597999572753906 0.0
14.0 22.9237003326416 35.71860122680664 14.095000267028809 0.0
15.0 22.870399475097656 35.70920181274414 15.604999542236328 0.0
15.0 22.908199310302734 35.71630096435547 15.10200023651123 0.0
16.0 22.711700439453125 35.714298248291016 16.61199951171875 0.0
16.0 22.789600372314453 35.70399856567383 16.107999801635742 0.0
17.0 22.653499603271484 35.73160171508789 17.618999481201172 0.0
17.0 22.659700393676758 35.7150993347168 17.114999771118164 0.0
18.0 22.62220001220703 35.75669860839844 18.625 0.0
18.0 22.660499572753906 35.7515983581543 18.121999740600586 0.0
19.0 22.596799850463867 35.774600982666016 19.631999969482422 0.0
19.0 22.603500366210938 35.76599884033203 19.128999710083008 0.0
20.0 22.56839942932129 35.799198150634766 20.638999938964844 0.0
20.0 22.586200714111328 35.7849006652832 20.13599967956543 0.0
21.0 22.53700065612793 35.82279968261719 21.645999908447266 0.0
21.0 22.5492000579834 35.81420135498047 21.142000198364258 0.0
22.0 22.503000259399414 35.849998474121094 22.652999877929688 0.0
22.0 22.5177001953125 35.835899353027344 22.14900016784668 0.0
23.0 22.486400604248047 35.90959930419922 23.65999984741211 0.0
23.0 22.49169921875 35.87889862060547 23.1560001373291 0.0
24.0 22.497800827026367 35.93199920654297 24.163000106811523 0.0
24.0 22.503999710083008 35.97439956665039 24.666000366210938 0.0
25.0 22.403200149536133 36.101600646972656 25.67300033569336 0.0
25.0 22.44339942932129 36.041500091552734 25.170000076293945 0.0
26.0 22.270299911499023 36.109901428222656 26.68000030517578 0.0
26.0 22.382400512695312 36.112300872802734 26.177000045776367 0.0
27.0 22.07430076599121 36.10609817504883 27.687000274658203 0.0
27.0 22.15530014038086 36.10319900512695 27.18400001525879 0.0
28.0 21.952699661254883 36.10419845581055 28.694000244140625 0.0
28.0 22.02239990234375 36.107200622558594 28.190000534057617 0.0
29.0 21.832599639892578 36.10340118408203 29.701000213623047 0.0
29.0 21.877199172973633 36.101600646972656 29.19700050354004 0.0
30.0 21.75790023803711 36.12179946899414 30.70800018310547 0.0
30.0 21.788000106811523 36.10530090332031 30.20400047302246 0.0
31.0 21.7278995513916 36.13669967651367 31.71500015258789 0.0
31.0 21.753299713134766 36.130001068115234 31.211000442504883 0.0
32.0 21.65730094909668 36.14580154418945 32.72100067138672 0.0
32.0 21.71969985961914 36.14120101928711 32.21799850463867 0.0
33.0 21.596599578857422 36.1525993347168 33.72800064086914 0.0
33.0 21.60930061340332 36.15299987792969 33.224998474121094 0.0
34.0 21.572099685668945 36.15489959716797 34.73500061035156 0.0
34.0 21.588600158691406 36.1526985168457 34.231998443603516 0.0
35.0 21.533199310302734 36.16350173950195 35.742000579833984 0.0
35.0 21.543699264526367 36.159698486328125 35.23899841308594 0.0
36.0 21.529600143432617 36.167198181152344 36.749000549316406 0.0
36.0 21.529699325561523 36.16630172729492 36.24599838256836 0.0
37.0 21.51609992980957 36.17150115966797 37.75600051879883 0.0
37.0 21.52720069885254 36.1692008972168 37.25299835205078 0.0
38.0 21.427200317382812 36.167301177978516 38.76300048828125 0.0
38.0 21.462900161743164 36.170101165771484 38.25899887084961 0.0
39.0 21.388399124145508 36.17409896850586 39.77000045776367 0.0
39.0 21.40920066833496 36.1693000793457 39.26599884033203 0.0
40.0 21.311899185180664 36.18349838256836 40.777000427246094 0.0
40.0 21.350099563598633 36.17879867553711 40.27299880981445 0.0
41.0 21.23539924621582 36.192901611328125 41.784000396728516 0.0
41.0 21.27359962463379 36.188201904296875 41.279998779296875 0.0
42.0 21.18400001525879 36.19960021972656 42.79100036621094 0.0
42.0 21.197099685668945 36.197601318359375 42.2869987487793 0.0
43.0 21.14389991760254 36.209999084472656 43.79800033569336 0.0
43.0 21.162200927734375 36.20690155029297 43.29399871826172 0.0
44.0 21.12529945373535 36.21419906616211 44.80500030517578 0.0
44.0 21.1289005279541 36.21329879760742 44.30099868774414 0.0
45.0 21.121700286865234 36.21609878540039 45.81100082397461 0.0
45.0 21.124000549316406 36.21500015258789 45.30799865722656 0.0
46.0 21.116500854492188 36.217201232910156 46.81800079345703 0.0
46.0 21.11829948425293 36.21659851074219 46.314998626708984 0.0
47.0 21.106399536132812 36.21900177001953 47.82500076293945 0.0
47.0 21.1072998046875 36.21870040893555 47.321998596191406 0.0
48.0 21.092599868774414 36.22019958496094 48.832000732421875 0.0
48.0 21.10140037536621 36.21950149536133 48.32899856567383 0.0
49.0 21.056299209594727 36.224098205566406 49.8390007019043 0.0
49.0 21.07200050354004 36.22140121459961 49.33599853515625 0.0
50.0 21.031700134277344 36.22679901123047 50.84600067138672 0.0
50.0 21.04400062561035 36.225399017333984 50.34299850463867 0.0
51.0 21.007099151611328 36.229400634765625 51.85300064086914 0.0
51.0 21.019399642944336 36.22809982299805 51.349998474121094 0.0
52.0 20.98780059814453 36.230899810791016 52.86000061035156 0.0
52.0 20.994800567626953 36.23080062866211 52.356998443603516 0.0
53.0 20.974700927734375 36.22949981689453 53.867000579833984 0.0
53.0 20.99220085144043 36.230098724365234 53.36399841308594 0.0
54.0 20.913999557495117 36.2317008972168 54.874000549316406 0.0
54.0 20.95680046081543 36.22930145263672 54.37099838256836 0.0
55.0 20.88129997253418 36.238399505615234 55.88100051879883 0.0
55.0 20.887399673461914 36.23550033569336 55.37799835205078 0.0
56.0 20.868000030517578 36.23979949951172 56.88800048828125 0.0
56.0 20.882400512695312 36.23889923095703 56.3849983215332 0.0
57.0 20.830799102783203 36.24290084838867 57.89500045776367 0.0
57.0 20.840099334716797 36.242801666259766 57.391998291015625 0.0
58.0 20.798200607299805 36.24589920043945 58.902000427246094 0.0
58.0 20.81570053100586 36.243499755859375 58.39899826049805 0.0
59.0 20.75790023803711 36.25 59.909000396728516 0.0
59.0 20.774900436401367 36.2489013671875 59.40599822998047 0.0
60.0 20.70870018005371 36.25239944458008 60.91600036621094 0.0
60.0 20.73259925842285 36.25170135498047 60.41299819946289 0.0
61.0 20.67799949645996 36.253501892089844 61.92300033569336 0.0
61.0 20.694700241088867 36.252498626708984 61.41999816894531 0.0
62.0 20.667699813842773 36.25429916381836 62.93000030517578 0.0
62.0 20.674800872802734 36.25410079956055 62.426998138427734 0.0
63.0 20.662399291992188 36.25490188598633 63.9370002746582 0.0
63.0 20.663000106811523 36.25490188598633 63.433998107910156 0.0
64.0 20.653799057006836 36.25529861450195 64.94499969482422 0.0
64.0 20.657899856567383 36.25519943237305 64.44100189208984 0.0
65.0 20.63629913330078 36.25579833984375 65.9520034790039 0.0
65.0 20.64430046081543 36.25550079345703 65.447998046875 0.0
66.0 20.619800567626953 36.25630187988281 66.95899963378906 0.0
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67.0 20.593599319458008 36.25239944458008 67.96600341796875 0.0
67.0 20.617399215698242 36.255699157714844 67.46199798583984 0.0
68.0 20.589399337768555 36.253501892089844 68.9729995727539 0.0
68.0 20.592500686645508 36.25310134887695 68.46900177001953 0.0
69.0 20.576900482177734 36.25529861450195 69.9800033569336 0.0
69.0 20.585100173950195 36.254398345947266 69.47599792480469 0.0
70.0 20.55970001220703 36.25680160522461 70.98699951171875 0.0
70.0 20.5718994140625 36.256099700927734 70.48300170898438 0.0
71.0 20.533100128173828 36.25590133666992 71.99400329589844 0.0
71.0 20.54450035095215 36.25709915161133 71.48999786376953 0.0
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73.0 20.48900032043457 36.25640106201172 74.00800323486328 0.0
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75.0 20.43869972229004 36.262001037597656 76.02200317382812 0.0
75.0 20.4414005279541 36.260501861572266 75.51899719238281 0.0
76.0 20.412099838256836 36.26369857788086 77.02899932861328 0.0
76.0 20.427499771118164 36.26279830932617 76.5260009765625 0.0
77.0 20.377599716186523 36.262699127197266 78.03700256347656 0.0
77.0 20.397300720214844 36.263301849365234 77.53299713134766 0.0
78.0 20.31049919128418 36.26319885253906 79.04399871826172 0.0
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81.0 20.1658992767334 36.27539825439453 82.06500244140625 0.0
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89.0 19.933500289916992 36.2932014465332 89.61900329589844 0.0
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93.0 19.806800842285156 36.3291015625 94.1510009765625 0.0
93.0 19.837299346923828 36.32440185546875 93.64700317382812 0.0
94.0 19.745800018310547 36.338600158691406 95.15799713134766 0.0
94.0 19.77630043029785 36.333900451660156 94.65499877929688 0.0
95.0 19.703399658203125 36.35219955444336 96.16500091552734 0.0
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100.0 19.56410026550293 36.41230010986328 101.2020034790039 0.0
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101.0 19.559900283813477 36.414100646972656 101.70500183105469 0.0
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102.0 19.520299911499023 36.4182014465332 102.71199798583984 0.0
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104.0 19.500099182128906 36.42020034790039 104.72699737548828 0.0
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106.0 19.314800262451172 36.4473991394043 106.74099731445312 0.0
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111.0 19.167299270629883 36.4541015625 112.28099822998047 0.0
111.0 19.199899673461914 36.4547004699707 111.77799987792969 0.0
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215.0 13.22070026397705 35.69729995727539 216.56100463867188 0.0
216.0 13.172900199890137 35.689300537109375 218.072998046875 0.0
216.0 13.188899993896484 35.69200134277344 217.56900024414062 0.0
217.0 13.14109992980957 35.683998107910156 219.08099365234375 0.0
217.0 13.156999588012695 35.68669891357422 218.57699584960938 0.0
218.0 13.120400428771973 35.68230056762695 220.08900451660156 0.0
218.0 13.12720012664795 35.68230056762695 219.5850067138672 0.0

In total, there are 434 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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