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Dataset Title:  "Deepwater CTD - d94i049.ctd.nc - 27.65N, -92.0W - 1994-07-30" Subscribe RSS
Institution:  Texas A&M University, Department of Oceanography   (Dataset ID: deepwater_d94i049_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: 1667)
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   834 options
    temperature ?  =  degree_C   1643 options
    salinity ?  =  PSU   1245 options
    oxygen ?  =  milliliters per liter   12 options
    pressure ?  =  decibars   1667 options
    nitrite ?  =  micromols   7 options
    nitrate ?  =  micromols   13 options
    phosphate ?  =  micromols   11 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 29.19230079650879 31.46739959716797 4.769999980926514 2.5169999599456787 0.019999999552965164 0.18000000715255737 0.05000000074505806 0.8600000143051147 35.10499954223633 0.0
2.0 29.267000198364258 31.628299713134766 4.710000038146973 2.013000011444092 0.029999999329447746 0.23999999463558197 0.07000000029802322 1.4500000476837158 31.400999069213867 0.0
3.0 29.174800872802734 31.43560028076172 5.070000171661377 3.5239999294281006 0.019999999552965164 0.1599999964237213 0.05000000074505806 1.1399999856948853 35.941001892089844 0.0
3.0 29.180700302124023 31.44420051574707 5.039999961853027 3.0199999809265137 0.019999999552965164 0.20000000298023224 0.05000000074505806 1.149999976158142 35.888999938964844 0.0
4.0 29.17060089111328 31.41189956665039 4.130000114440918 4.53000020980835 0.12999999523162842 2.809999942779541 0.15000000596046448 1.75 36.31100082397461 0.0
4.0 29.170700073242188 31.425399780273438 4.909999847412109 4.0269999504089355 0.029999999329447746 0.14000000059604645 0.03999999910593033 1.100000023841858 36.11000061035156 0.0
5.0 29.225900650024414 31.493499755859375 3.0899999141693115 5.033999919891357 0.07000000029802322 11.079999923706055 0.2199999988079071 3.9000000953674316 36.37200164794922 0.0
5.0 29.301799774169922 31.653499603271484 3.0299999713897705 5.5370001792907715 0.05999999865889549 13.680000305175781 0.7699999809265137 4.550000190734863 36.268001556396484 0.0
6.0 29.380300521850586 31.89240074157715 3.0899999141693115 6.039999961853027 0.05000000074505806 17.270000457763672 1.0 6.630000114440918 35.95399856567383 0.0
6.0 29.592899322509766 32.19279861450195 2.7100000381469727 6.544000148773193 0.05000000074505806 23.670000076293945 1.399999976158142 10.8100004196167 35.525001525878906 0.0
7.0 29.606300354003906 32.2661018371582 2.680000066757202 7.046999931335449 0.05999999865889549 28.020000457763672 1.7100000381469727 15.140000343322754 35.20399856567383 0.0
7.0 29.611900329589844 32.30059814453125 3.7899999618530273 7.551000118255615 0.019999999552965164 30.100000381469727 1.8899999856948853 25.799999237060547 34.90999984741211 0.0
8.0 29.61359977722168 32.334999084472656 8.557000160217285 0.0
8.0 29.614200592041016 32.31760025024414 8.053999900817871 0.0
9.0 29.605600357055664 32.456298828125 9.060999870300293 0.0
9.0 29.615299224853516 32.59389877319336 9.564000129699707 0.0
10.0 29.649099349975586 32.782100677490234 10.067999839782715 0.0
10.0 29.6835994720459 32.98720169067383 10.571000099182129 0.0
11.0 29.70709991455078 33.14250183105469 11.074000358581543 0.0
11.0 29.82309913635254 33.4911994934082 11.57800006866455 0.0
12.0 29.902999877929688 33.9193000793457 12.585000038146973 0.0
12.0 29.91230010986328 33.83380126953125 12.081000328063965 0.0
13.0 29.920799255371094 34.09270095825195 13.088000297546387 0.0
13.0 29.930599212646484 34.252201080322266 13.590999603271484 0.0
14.0 29.931900024414062 34.48849868774414 14.095000267028809 0.0
14.0 29.95050048828125 34.6328010559082 14.597999572753906 0.0
15.0 29.970800399780273 34.727500915527344 15.10200023651123 0.0
15.0 29.97599983215332 34.84619903564453 15.604999542236328 0.0
16.0 29.97760009765625 34.95280075073242 16.107999801635742 0.0
16.0 29.982500076293945 35.0458984375 16.61199951171875 0.0
17.0 29.8971004486084 35.222198486328125 17.618999481201172 0.0
17.0 29.977699279785156 35.13140106201172 17.114999771118164 0.0
18.0 29.813899993896484 35.27050018310547 18.121999740600586 0.0
18.0 29.831300735473633 35.32270050048828 18.625 0.0
19.0 29.824600219726562 35.38169860839844 19.631999969482422 0.0
19.0 29.85930061340332 35.36289978027344 19.128999710083008 0.0
20.0 29.791099548339844 35.456600189208984 20.638999938964844 0.0
20.0 29.798099517822266 35.412899017333984 20.13599967956543 0.0
21.0 29.579299926757812 35.493499755859375 21.645999908447266 0.0
21.0 29.703399658203125 35.465999603271484 21.142000198364258 0.0
22.0 29.54290008544922 35.51580047607422 22.14900016784668 0.0
22.0 29.552499771118164 35.5453987121582 22.652999877929688 0.0
23.0 29.559499740600586 35.60770034790039 23.65999984741211 0.0
23.0 29.56060028076172 35.587501525878906 23.1560001373291 0.0
24.0 29.5585994720459 35.64649963378906 24.163000106811523 0.0
24.0 29.571500778198242 35.69419860839844 24.666000366210938 0.0
25.0 29.579299926757812 35.70970153808594 25.170000076293945 0.0
25.0 29.590599060058594 35.72560119628906 25.67300033569336 0.0
26.0 29.606800079345703 35.74599838256836 26.177000045776367 0.0
26.0 29.624900817871094 35.772098541259766 26.68000030517578 0.0
27.0 29.604900360107422 35.8031005859375 27.687000274658203 0.0
27.0 29.620899200439453 35.78179931640625 27.18400001525879 0.0
28.0 29.533000946044922 35.8036003112793 28.694000244140625 0.0
28.0 29.574199676513672 35.81079864501953 28.190000534057617 0.0
29.0 29.498300552368164 35.830101013183594 29.19700050354004 0.0
29.0 29.527799606323242 35.89569854736328 29.701000213623047 0.0
30.0 29.53730010986328 35.94839859008789 30.70800018310547 0.0
30.0 29.53809928894043 35.91859817504883 30.20400047302246 0.0
31.0 29.167200088500977 35.89970016479492 31.71500015258789 0.0
31.0 29.455799102783203 35.93519973754883 31.211000442504883 0.0
32.0 28.673200607299805 35.873600006103516 32.72100067138672 0.0
32.0 28.868600845336914 35.88880157470703 32.21799850463867 0.0
33.0 28.16710090637207 35.87810134887695 33.72800064086914 0.0
33.0 28.42020034790039 35.875999450683594 33.224998474121094 0.0
34.0 27.661100387573242 35.88180160522461 34.73500061035156 0.0
34.0 27.914100646972656 35.880001068115234 34.231998443603516 0.0
35.0 27.155000686645508 35.88460159301758 35.742000579833984 0.0
35.0 27.408000946044922 35.88330078125 35.23899841308594 0.0
36.0 25.890199661254883 35.87099838256836 36.749000549316406 0.0
36.0 26.537599563598633 35.88290023803711 36.24599838256836 0.0
37.0 25.754499435424805 35.9379997253418 37.75600051879883 0.0
37.0 25.763099670410156 35.93550109863281 37.25299835205078 0.0
38.0 25.687700271606445 35.94380187988281 38.76300048828125 0.0
38.0 25.71660041809082 35.94049835205078 38.25899887084961 0.0
39.0 25.1112003326416 35.83449935913086 39.77000045776367 0.0
39.0 25.546899795532227 35.90299987792969 39.26599884033203 0.0
40.0 24.49850082397461 35.82820129394531 40.777000427246094 0.0
40.0 24.705299377441406 35.80649948120117 40.27299880981445 0.0
41.0 24.259700775146484 35.91859817504883 41.784000396728516 0.0
41.0 24.404800415039062 35.872798919677734 41.279998779296875 0.0
42.0 24.131099700927734 35.924400329589844 42.79100036621094 0.0
42.0 24.167600631713867 35.9286994934082 42.2869987487793 0.0
43.0 23.938199996948242 35.88669967651367 43.79800033569336 0.0
43.0 24.076900482177734 35.90800094604492 43.29399871826172 0.0
44.0 23.84480094909668 35.88999938964844 44.30099868774414 0.0
44.0 23.845600128173828 35.92150115966797 44.80500030517578 0.0
45.0 23.789100646972656 35.923099517822266 45.81100082397461 0.0
45.0 23.82159996032715 35.92250061035156 45.30799865722656 0.0
46.0 23.64539909362793 35.926700592041016 46.81800079345703 0.0
46.0 23.71809959411621 35.92559814453125 46.314998626708984 0.0
47.0 23.418800354003906 35.89699935913086 47.82500076293945 0.0
47.0 23.564599990844727 35.91379928588867 47.321998596191406 0.0
48.0 23.224700927734375 35.91490173339844 48.832000732421875 0.0
48.0 23.302799224853516 35.90620040893555 48.32899856567383 0.0
49.0 23.132999420166016 35.92319869995117 49.8390007019043 0.0
49.0 23.14780044555664 35.91809844970703 49.33599853515625 0.0
50.0 23.069400787353516 35.93370056152344 50.84600067138672 0.0
50.0 23.10930061340332 35.92919921875 50.34299850463867 0.0
51.0 22.999300003051758 35.942100524902344 51.85300064086914 0.0
51.0 23.045900344848633 35.94089889526367 51.349998474121094 0.0
52.0 22.87809944152832 35.956600189208984 52.86000061035156 0.0
52.0 22.93560028076172 35.94960021972656 52.356998443603516 0.0
53.0 22.87779998779297 35.98609924316406 53.867000579833984 0.0
53.0 22.885499954223633 35.9807014465332 53.36399841308594 0.0
54.0 22.712099075317383 35.98460006713867 54.874000549316406 0.0
54.0 22.821800231933594 35.987300872802734 54.37099838256836 0.0
55.0 22.59480094909668 35.98659896850586 55.88100051879883 0.0
55.0 22.627099990844727 35.98590087890625 55.37799835205078 0.0
56.0 22.53260040283203 36.00529861450195 56.88800048828125 0.0
56.0 22.564899444580078 35.98910140991211 56.3849983215332 0.0
57.0 22.25469970703125 36.009700775146484 57.89500045776367 0.0
57.0 22.419300079345703 36.00979995727539 57.391998291015625 0.0
58.0 22.11050033569336 36.037601470947266 58.902000427246094 0.0
58.0 22.175800323486328 36.0182991027832 58.39899826049805 0.0
59.0 22.070600509643555 36.058101654052734 59.40599822998047 0.0
59.0 22.079299926757812 36.088199615478516 59.909000396728516 0.0
60.0 21.88279914855957 36.09700012207031 60.91600036621094 0.0
60.0 22.062999725341797 36.110198974609375 60.41299819946289 0.0
61.0 21.68470001220703 36.09669876098633 61.92300033569336 0.0
61.0 21.74530029296875 36.087501525878906 61.41999816894531 0.0
62.0 21.699399948120117 36.16680145263672 62.426998138427734 0.0
62.0 21.71820068359375 36.210201263427734 62.93000030517578 0.0
63.0 21.673900604248047 36.21889877319336 63.9370002746582 0.0
63.0 21.707300186157227 36.2156982421875 63.433998107910156 0.0
64.0 21.621200561523438 36.22549819946289 64.94499969482422 0.0
64.0 21.64080047607422 36.22520065307617 64.44100189208984 0.0
65.0 21.600000381469727 36.239601135253906 65.9520034790039 0.0
65.0 21.613000869750977 36.23210144042969 65.447998046875 0.0
66.0 21.56450080871582 36.23590087890625 66.95899963378906 0.0
66.0 21.592599868774414 36.24489974975586 66.45500183105469 0.0
67.0 21.511699676513672 36.24869918823242 67.46199798583984 0.0
67.0 21.528400421142578 36.27009963989258 67.96600341796875 0.0
68.0 21.5226993560791 36.28310012817383 68.9729995727539 0.0
68.0 21.534299850463867 36.279598236083984 68.46900177001953 0.0
69.0 21.398799896240234 36.26559829711914 69.9800033569336 0.0
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70.0 21.2593994140625 36.24760055541992 70.48300170898438 0.0
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72.0 21.11829948425293 36.27119827270508 73.0009994506836 0.0
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73.0 21.034099578857422 36.2848014831543 74.00800323486328 0.0
73.0 21.06329917907715 36.28120040893555 73.50499725341797 0.0
74.0 20.933399200439453 36.28620147705078 75.01499938964844 0.0
74.0 21.00320053100586 36.289100646972656 74.51200103759766 0.0
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75.0 20.880300521850586 36.28459930419922 75.51899719238281 0.0
76.0 20.726299285888672 36.285499572753906 77.02999877929688 0.0
76.0 20.739299774169922 36.28269958496094 76.5260009765625 0.0
77.0 20.61949920654297 36.28689956665039 78.03700256347656 0.0
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91.0 19.90920066833496 36.31129837036133 91.63300323486328 0.0
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100.0 19.275699615478516 36.34429931640625 101.2020034790039 0.0
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109.0 18.96269989013672 36.3911018371582 109.76300048828125 0.0
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495.0 8.384900093078613 35.03260040283203 499.4389953613281 0.0
495.0 8.387800216674805 35.032901763916016 498.9339904785156 0.0
496.0 8.38290023803711 35.03260040283203 499.9429931640625 0.0
496.0 8.383500099182129 35.03219985961914 500.447998046875 0.0
497.0 8.374799728393555 35.032100677490234 501.4570007324219 0.0
497.0 8.37660026550293 35.032100677490234 500.9519958496094 0.0
498.0 8.368200302124023 35.030799865722656 502.46600341796875 0.0
498.0 8.375699996948242 35.031700134277344 501.9620056152344 0.0
499.0 8.351900100708008 35.02920150756836 503.4750061035156 0.0
499.0 8.360799789428711 35.02980041503906 502.97100830078125 0.0
500.0 8.331899642944336 35.02669906616211 504.4849853515625 0.0
500.0 8.340999603271484 35.027801513671875 503.9800109863281 0.0
501.0 8.321100234985352 35.02579879760742 505.4939880371094 0.0
501.0 8.322600364685059 35.02619934082031 504.989013671875 0.0

In total, there are 1667 rows of distinct combinations of the variables listed above.
The first 1000 rows are shown above. The remaining 667 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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