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Dataset Title:  "Deepwater CTD - d94j054.ctd.nc - 27.75N, -93.0W - 1994-11-06" Subscribe RSS
Institution:  Texas A&M University, Department of Oceanography   (Dataset ID: deepwater_d94j054_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: 403)
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   202 options
    temperature ?  =  degree_C   399 options
    salinity ?  =  PSU   369 options
    oxygen ?  =  milliliters per liter   12 options
    pressure ?  =  decibars   403 options
    nitrite ?  =  micromols   9 options
    nitrate ?  =  micromols   11 options
    phosphate ?  =  micromols   12 options
    silicate ?  =  micromols   13 options
    salinity2 ?  =  PSU   12 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 25.798500061035156 35.671199798583984 4.659999847412109 2.5169999599456787 0.0 0.07000000029802322 0.029999999329447746 2.9600000381469727 35.66699981689453 0.0
3.0 25.8031005859375 35.67110061645508 4.699999809265137 3.0199999809265137 0.0 0.07000000029802322 0.029999999329447746 3.0199999809265137 35.66999816894531 0.0
3.0 25.804100036621094 35.670799255371094 4.699999809265137 3.5239999294281006 0.0 0.07000000029802322 0.019999999552965164 2.819999933242798 35.7140007019043 0.0
4.0 25.803199768066406 35.6703987121582 3.609999895095825 4.53000020980835 0.17000000178813934 1.4700000286102295 0.20000000298023224 8.470000267028809 36.222999572753906 0.0
4.0 25.804000854492188 35.670799255371094 4.630000114440918 4.0269999504089355 0.009999999776482582 0.05999999865889549 0.05000000074505806 3.7899999618530273 36.268001556396484 0.0
5.0 25.8031005859375 35.67070007324219 3.069999933242798 5.033999919891357 0.33000001311302185 3.819999933242798 0.3700000047683716 12.40999984741211 36.263999938964844 0.0
5.0 25.804800033569336 35.670501708984375 4.230000019073486 5.5370001792907715 0.3100000023841858 0.8100000023841858 0.07999999821186066 3.6600000858306885 36.46200180053711 0.0
6.0 25.806800842285156 35.67070007324219 3.440000057220459 6.544000148773193 0.03999999910593033 11.149999618530273 0.5299999713897705 5.559999942779541 36.38199996948242 0.0
6.0 25.80739974975586 35.6708984375 3.619999885559082 6.039999961853027 0.10000000149011612 4.699999809265137 0.23000000417232513 4.050000190734863 36.50400161743164 0.0
7.0 25.802600860595703 35.6703987121582 3.190000057220459 7.551000118255615 0.029999999329447746 18.75 1.0399999618530273 9.75 35.87699890136719 0.0
7.0 25.80459976196289 35.6702995300293 3.0799999237060547 7.046999931335449 0.029999999329447746 13.369999885559082 0.699999988079071 6.320000171661377 36.24300003051758 0.0
8.0 25.80120086669922 35.67070007324219 8.557000160217285 0.0
8.0 25.80190086364746 35.67060089111328 2.8399999141693115 8.053999900817871 0.03999999910593033 18.850000381469727 1.0499999523162842 9.760000228881836 35.87699890136719 0.0
9.0 25.7992000579834 35.67070007324219 9.060999870300293 0.0
9.0 25.799800872802734 35.6708984375 9.564000129699707 0.0
10.0 25.798099517822266 35.6708984375 10.571000099182129 0.0
10.0 25.799299240112305 35.6708984375 10.067999839782715 0.0
11.0 25.79789924621582 35.6708984375 11.074000358581543 0.0
11.0 25.800100326538086 35.67070007324219 11.57800006866455 0.0
12.0 25.800899505615234 35.67110061645508 12.081000328063965 0.0
12.0 25.80389976501465 35.67129898071289 12.585000038146973 0.0
13.0 25.804899215698242 35.671199798583984 13.590999603271484 0.0
13.0 25.804899215698242 35.67129898071289 13.088000297546387 0.0
14.0 25.80419921875 35.67129898071289 14.597999572753906 0.0
14.0 25.804399490356445 35.67110061645508 14.095000267028809 0.0
15.0 25.802499771118164 35.67150115966797 15.604999542236328 0.0
15.0 25.804100036621094 35.67110061645508 15.10200023651123 0.0
16.0 25.79400062561035 35.6781005859375 16.61199951171875 0.0
16.0 25.79960060119629 35.675899505615234 16.107999801635742 0.0
17.0 25.790599822998047 35.67959976196289 17.618999481201172 0.0
17.0 25.797399520874023 35.67570114135742 17.114999771118164 0.0
18.0 25.74799919128418 35.69820022583008 18.625 0.0
18.0 25.77429962158203 35.686500549316406 18.121999740600586 0.0
19.0 25.72450065612793 35.706199645996094 19.631999969482422 0.0
19.0 25.740800857543945 35.70050048828125 19.128999710083008 0.0
20.0 25.716899871826172 35.71179962158203 20.13599967956543 0.0
20.0 25.74139976501465 35.70100021362305 20.638999938964844 0.0
21.0 25.71540069580078 35.718299865722656 21.645999908447266 0.0
21.0 25.738399505615234 35.70320129394531 21.142000198364258 0.0
22.0 25.7106990814209 35.72079849243164 22.14900016784668 0.0
22.0 25.71139907836914 35.72100067138672 22.652999877929688 0.0
23.0 25.712299346923828 35.720699310302734 23.1560001373291 0.0
23.0 25.714399337768555 35.71929931640625 23.65999984741211 0.0
24.0 25.709999084472656 35.721500396728516 24.666000366210938 0.0
24.0 25.714099884033203 35.71950149536133 24.163000106811523 0.0
25.0 25.70870018005371 35.7223014831543 25.67300033569336 0.0
25.0 25.710899353027344 35.721099853515625 25.170000076293945 0.0
26.0 25.70490074157715 35.72779846191406 26.68000030517578 0.0
26.0 25.7052001953125 35.724998474121094 26.177000045776367 0.0
27.0 25.703500747680664 35.73059844970703 27.687000274658203 0.0
27.0 25.704999923706055 35.72809982299805 27.18400001525879 0.0
28.0 25.69569969177246 35.74169921875 28.694000244140625 0.0
28.0 25.701000213623047 35.733699798583984 28.190000534057617 0.0
29.0 25.683799743652344 35.75600051879883 29.701000213623047 0.0
29.0 25.691299438476562 35.747798919677734 29.19700050354004 0.0
30.0 25.675800323486328 35.762298583984375 30.70800018310547 0.0
30.0 25.679500579833984 35.75979995727539 30.20400047302246 0.0
31.0 25.61549949645996 35.8114013671875 31.71500015258789 0.0
31.0 25.671300888061523 35.767398834228516 31.211000442504883 0.0
32.0 25.567899703979492 35.84230041503906 32.72100067138672 0.0
32.0 25.597700119018555 35.82310104370117 32.21799850463867 0.0
33.0 25.44809913635254 35.91510009765625 33.72800064086914 0.0
33.0 25.527799606323242 35.867401123046875 33.224998474121094 0.0
34.0 24.97610092163086 36.13890075683594 34.73500061035156 0.0
34.0 25.271699905395508 36.00910186767578 34.231998443603516 0.0
35.0 24.433700561523438 36.29520034790039 35.742000579833984 0.0
35.0 24.56049919128418 36.28710174560547 35.23899841308594 0.0
36.0 24.173099517822266 36.28390121459961 36.749000549316406 0.0
36.0 24.358299255371094 36.28969955444336 36.24599838256836 0.0
37.0 23.800600051879883 36.26559829711914 37.75600051879883 0.0
37.0 23.939699172973633 36.26919937133789 37.25299835205078 0.0
38.0 23.522499084472656 36.25809860229492 38.76300048828125 0.0
38.0 23.661500930786133 36.26190185546875 38.25899887084961 0.0
39.0 23.25819969177246 36.24620056152344 39.77000045776367 0.0
39.0 23.383399963378906 36.25419998168945 39.26599884033203 0.0
40.0 23.00790023803711 36.230098724365234 40.777000427246094 0.0
40.0 23.133100509643555 36.23820114135742 40.27299880981445 0.0
41.0 22.75749969482422 36.2135009765625 41.784000396728516 0.0
41.0 22.882699966430664 36.221900939941406 41.279998779296875 0.0
42.0 22.507200241088867 36.19649887084961 42.79100036621094 0.0
42.0 22.632400512695312 36.205101013183594 42.2869987487793 0.0
43.0 22.43630027770996 36.192100524902344 43.79800033569336 0.0
43.0 22.471799850463867 36.19430160522461 43.29399871826172 0.0
44.0 22.36549949645996 36.187801361083984 44.80500030517578 0.0
44.0 22.40089988708496 36.189998626708984 44.30099868774414 0.0
45.0 22.31290054321289 36.179298400878906 45.81100082397461 0.0
45.0 22.33489990234375 36.196800231933594 45.30799865722656 0.0
46.0 22.25189971923828 36.210201263427734 46.81800079345703 0.0
46.0 22.282400131225586 36.194698333740234 46.314998626708984 0.0
47.0 22.19099998474121 36.2411003112793 47.82500076293945 0.0
47.0 22.221500396728516 36.22560119628906 47.321998596191406 0.0
48.0 22.13010025024414 36.272098541259766 48.832000732421875 0.0
48.0 22.160600662231445 36.25659942626953 48.32899856567383 0.0
49.0 22.06920051574707 36.303199768066406 49.8390007019043 0.0
49.0 22.099599838256836 36.28770065307617 49.33599853515625 0.0
50.0 22.00830078125 36.33430099487305 50.84600067138672 0.0
50.0 22.038700103759766 36.31880187988281 50.34299850463867 0.0
51.0 21.957199096679688 36.36349868774414 51.85300064086914 0.0
51.0 21.977800369262695 36.34989929199219 51.349998474121094 0.0
52.0 21.9158992767334 36.390499114990234 52.86000061035156 0.0
52.0 21.936500549316406 36.37699890136719 52.356998443603516 0.0
53.0 21.87470054626465 36.417598724365234 53.867000579833984 0.0
53.0 21.895299911499023 36.40409851074219 53.36399841308594 0.0
54.0 21.83340072631836 36.444801330566406 54.874000549316406 0.0
54.0 21.854000091552734 36.43119812011719 54.37099838256836 0.0
55.0 21.779800415039062 36.463600158691406 55.88100051879883 0.0
55.0 21.794700622558594 36.44609832763672 55.37799835205078 0.0
56.0 21.755199432373047 36.522701263427734 56.88800048828125 0.0
56.0 21.76490020751953 36.48109817504883 56.3849983215332 0.0
57.0 21.65570068359375 36.53229904174805 57.89500045776367 0.0
57.0 21.71419906616211 36.53160095214844 57.391998291015625 0.0
58.0 21.42180061340332 36.52130126953125 58.902000427246094 0.0
58.0 21.56760025024414 36.52870178222656 58.39899826049805 0.0
59.0 21.21769905090332 36.48789978027344 59.909000396728516 0.0
59.0 21.319700241088867 36.50469970703125 59.40599822998047 0.0
60.0 21.011999130249023 36.47669982910156 60.91600036621094 0.0
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61.0 20.896699905395508 36.491600036621094 61.41999816894531 0.0
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63.0 20.724599838256836 36.52579879760742 63.9370002746582 0.0
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174.0 15.135299682617188 35.99380111694336 175.75 0.0
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197.0 14.496399879455566 35.895999908447266 198.92599487304688 0.0
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198.0 14.461600303649902 35.89059829711914 199.93299865722656 0.0
198.0 14.482600212097168 35.893798828125 199.42999267578125 0.0
199.0 14.432000160217285 35.88589859008789 200.9409942626953 0.0
199.0 14.470600128173828 35.89080047607422 200.43699645996094 0.0
200.0 14.412599563598633 35.883201599121094 201.94900512695312 0.0
200.0 14.426300048828125 35.8849983215332 201.44500732421875 0.0
201.0 14.449199676513672 35.88719940185547 202.4530029296875 0.0
201.0 14.452099800109863 35.891700744628906 202.95700073242188 0.0
202.0 14.423399925231934 35.8848991394043 203.4600067138672 0.0
202.0 14.426600456237793 35.88520050048828 203.96400451660156 0.0
203.0 14.41450023651123 35.882999420166016 204.9720001220703 0.0
203.0 14.428500175476074 35.88560104370117 204.46800231933594 0.0

In total, there are 403 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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