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Dataset Title:  "Deepwater CTD - d93g223.ctd.nc - 26.33N, -96.3W - 1993-11-20" Subscribe RSS
Institution:  Texas A&M University, Department of Oceanography   (Dataset ID: deepwater_d93g223_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: 451)
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   226 options
    temperature ?  =  degree_C   438 options
    salinity ?  =  PSU   413 options
    oxygen ?  =  milliliters per liter   2 options
    pressure ?  =  decibars   451 options
    nitrite ?  =  micromols   6 options
    nitrate ?  =  micromols   13 options
    phosphate ?  =  micromols   9 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
3.0 24.08799934387207 35.917701721191406 -9.0 3.0199999809265137 0.009999999776482582 0.12999999523162842 0.009999999776482582 3.700000047683716 -9.0 0.0
3.0 24.094999313354492 35.9182014465332 -9.0 3.5239999294281006 0.009999999776482582 0.10000000149011612 0.009999999776482582 3.5299999713897705 -9.0 0.0
4.0 24.106300354003906 35.91749954223633 -9.0 4.0269999504089355 0.0 0.15000000596046448 0.009999999776482582 3.359999895095825 -9.0 0.0
4.0 24.108800888061523 35.91740036010742 -9.0 4.53000020980835 0.0 0.11999999731779099 0.009999999776482582 3.190000057220459 -9.0 0.0
5.0 24.10740089416504 35.917701721191406 -9.0 5.5370001792907715 0.09000000357627869 0.2199999988079071 0.019999999552965164 2.890000104904175 -9.0 0.0
5.0 24.107500076293945 35.91780090332031 -9.0 5.033999919891357 0.009999999776482582 0.1899999976158142 0.009999999776482582 2.9800000190734863 -9.0 0.0
6.0 24.106399536132812 35.9182014465332 -9.0 6.544000148773193 0.019999999552965164 4.449999809265137 0.27000001072883606 5.03000020980835 -9.0 0.0
6.0 24.10689926147461 35.917598724365234 -9.0 6.039999961853027 0.07000000029802322 2.4800000190734863 0.1899999976158142 5.440000057220459 -9.0 0.0
7.0 24.112699508666992 35.91939926147461 -9.0 7.551000118255615 0.009999999776482582 12.699999809265137 0.6700000166893005 5.46999979019165 -9.0 0.0
7.0 24.113300323486328 35.9193000793457 -9.0 7.046999931335449 0.009999999776482582 11.020000457763672 0.6600000262260437 7.110000133514404 -9.0 0.0
8.0 24.112899780273438 35.9193000793457 -9.0 8.053999900817871 0.009999999776482582 15.210000038146973 0.8500000238418579 6.690000057220459 -9.0 0.0
8.0 24.116199493408203 35.92060089111328 -9.0 8.557000160217285 0.009999999776482582 18.399999618530273 1.059999942779541 8.550000190734863 -9.0 0.0
9.0 24.111900329589844 35.91830062866211 9.564000129699707 0.0
9.0 24.119400024414062 35.9208984375 9.060999870300293 0.0
10.0 24.111000061035156 35.91830062866211 10.067999839782715 0.0
10.0 24.11639976501465 35.920101165771484 10.571000099182129 0.0
11.0 24.113000869750977 35.9192008972168 11.57800006866455 0.0
11.0 24.124000549316406 35.92359924316406 11.074000358581543 0.0
12.0 24.128700256347656 35.926998138427734 12.081000328063965 0.0
12.0 24.148500442504883 35.93429946899414 12.585000038146973 0.0
13.0 24.15089988708496 35.933998107910156 13.590999603271484 0.0
13.0 24.152799606323242 35.93629837036133 13.088000297546387 0.0
14.0 24.118200302124023 35.92129898071289 14.597999572753906 0.0
14.0 24.125 35.923099517822266 14.095000267028809 0.0
15.0 24.127599716186523 35.92580032348633 15.10200023651123 0.0
15.0 24.13010025024414 35.92679977416992 15.604999542236328 0.0
16.0 24.138200759887695 35.9296989440918 16.61199951171875 0.0
16.0 24.138999938964844 35.930198669433594 16.107999801635742 0.0
17.0 24.138399124145508 35.929500579833984 17.114999771118164 0.0
17.0 24.14430046081543 35.932098388671875 17.618999481201172 0.0
18.0 24.149499893188477 35.93410110473633 18.121999740600586 0.0
18.0 24.152799606323242 35.93579864501953 18.625 0.0
19.0 24.160600662231445 35.94020080566406 19.128999710083008 0.0
19.0 24.1643009185791 35.94179916381836 19.631999969482422 0.0
20.0 24.169200897216797 35.94419860839844 20.13599967956543 0.0
20.0 24.17020034790039 35.94449996948242 20.638999938964844 0.0
21.0 24.157400131225586 35.937801361083984 21.645999908447266 0.0
21.0 24.162599563598633 35.940399169921875 21.142000198364258 0.0
22.0 24.156600952148438 35.937599182128906 22.652999877929688 0.0
22.0 24.158199310302734 35.937801361083984 22.14900016784668 0.0
23.0 24.165000915527344 35.94060134887695 23.65999984741211 0.0
23.0 24.167800903320312 35.942501068115234 23.1560001373291 0.0
24.0 24.1653995513916 35.940399169921875 24.163000106811523 0.0
24.0 24.16670036315918 35.94129943847656 24.666000366210938 0.0
25.0 24.167800903320312 35.941898345947266 25.170000076293945 0.0
25.0 24.17060089111328 35.943599700927734 25.67300033569336 0.0
26.0 24.17060089111328 35.94390106201172 26.177000045776367 0.0
26.0 24.171899795532227 35.94449996948242 26.68000030517578 0.0
27.0 24.175199508666992 35.94580078125 27.687000274658203 0.0
27.0 24.175600051879883 35.9463996887207 27.18400001525879 0.0
28.0 24.169099807739258 35.94150161743164 28.694000244140625 0.0
28.0 24.169099807739258 35.94169998168945 28.190000534057617 0.0
29.0 24.168800354003906 35.94179916381836 29.19700050354004 0.0
29.0 24.169300079345703 35.94200134277344 29.701000213623047 0.0
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34.0 24.17569923400879 35.94620132446289 34.231998443603516 0.0
35.0 24.128999710083008 35.92770004272461 35.23899841308594 0.0
35.0 24.14419937133789 35.934898376464844 35.742000579833984 0.0
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39.0 24.13719940185547 35.92940139770508 39.26599884033203 0.0
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40.0 24.12849998474121 35.92639923095703 40.777000427246094 0.0
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41.0 24.130399703979492 35.926700592041016 41.279998779296875 0.0
41.0 24.13450050354004 35.92890167236328 41.784000396728516 0.0
42.0 24.139799118041992 35.93109893798828 42.2869987487793 0.0
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43.0 24.148099899291992 35.93429946899414 43.79800033569336 0.0
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51.0 24.231800079345703 35.980201721191406 51.85300064086914 0.0
52.0 24.24959945678711 35.98830032348633 52.356998443603516 0.0
52.0 24.25200080871582 35.99089813232422 52.86000061035156 0.0
53.0 24.250200271606445 35.991600036621094 53.36399841308594 0.0
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225.0 14.394100189208984 35.877201080322266 226.63900756835938 0.0
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226.0 14.366700172424316 35.87080001831055 228.1510009765625 0.0
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227.0 14.325699806213379 35.86579895019531 229.15899658203125 0.0
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228.0 14.320199966430664 35.864498138427734 229.66299438476562 0.0

In total, there are 451 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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