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Dataset Title:  "Deepwater CTD - st093lay.ctd.nc - 27.0N, -90.0W - 1994-05-00" Subscribe RSS
Institution:  Texas A&M University, Department of Oceanography   (Dataset ID: deepwater_st093lay_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: 27)
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   27 options
    temperature ?  =  degree_C   27 options
    salinity ?  =  PSU   27 options
    oxygen ?  =  mililiter per liter   27 options
    pressure ?  =  decibars   27 options
    nitrite ?  =  micromols   7 options
    nitrate ?  =  micromols   11 options
    phosphate ?  =  micromols   10 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 mililiter per liter decibars micromols micromols micromols micromols PSU
2.0 25.629499435424805 35.826900482177734 3.722100019454956 2.0 0.0 0.07999999821186066 0.019999999552965164 1.3300000429153442 36.10300064086914 0.0
5.0 25.705900192260742 35.68280029296875 4.3368000984191895 5.0 0.0 0.07999999821186066 0.009999999776482582 1.1799999475479126 36.09299850463867 0.0
9.0 25.475099563598633 36.28499984741211 4.320499897003174 10.0 0.0 0.10999999940395355 0.0 1.1299999952316284 36.09400177001953 0.0
14.0 23.865699768066406 36.34560012817383 4.542600154876709 15.0 0.0 0.10999999940395355 0.009999999776482582 1.0499999523162842 36.09600067138672 0.0
19.0 23.575599670410156 36.36330032348633 4.586599826812744 20.0 0.009999999776482582 0.10000000149011612 0.009999999776482582 1.409999966621399 36.2859992980957 0.0
24.0 23.121000289916992 36.37379837036133 4.648600101470947 25.0 0.05999999865889549 0.03999999910593033 0.009999999776482582 0.7799999713897705 36.334999084472656 0.0
29.0 22.91900062561035 36.42340087890625 4.663000106811523 30.0 0.14000000059604645 0.029999999329447746 0.029999999329447746 0.25999999046325684 36.358001708984375 0.0
34.0 22.586700439453125 36.422298431396484 4.686500072479248 35.0 0.029999999329447746 9.100000381469727 0.44999998807907104 2.549999952316284 36.40700149536133 0.0
39.0 22.115100860595703 36.36589813232422 4.710400104522705 40.0 0.019999999552965164 12.359999656677246 0.6200000047683716 3.4100000858306885 36.388999938964844 0.0
44.0 21.758800506591797 36.32809829711914 4.710000038146973 45.0 0.019999999552965164 15.520000457763672 0.8100000023841858 4.590000152587891 36.22200012207031 0.0
49.0 20.882699966430664 36.23149871826172 4.665900230407715 50.0 0.019999999552965164 19.709999084472656 1.059999942779541 6.880000114440918 35.85200119018555 0.0
74.0 19.311899185180664 36.368499755859375 3.5776000022888184 75.0 0.019999999552965164 21.229999542236328 1.2000000476837158 8.069999694824219 35.73099899291992 0.0
99.0 18.063899993896484 36.351600646972656 3.2725000381469727 100.0 0.0
124.0 16.84429931640625 36.221099853515625 3.1268999576568604 125.0 0.0
148.0 16.11829948425293 36.14670181274414 3.0427000522613525 150.0 0.0
173.0 15.339400291442871 36.02180099487305 3.028700113296509 175.0 0.0
198.0 14.472700119018555 35.883201599121094 2.9549999237060547 200.0 0.0
248.0 12.921899795532227 35.63669967651367 2.8859000205993652 250.0 0.0
297.0 11.69279956817627 35.44879913330078 2.77020001411438 300.0 0.0
396.0 10.246199607849121 35.23789978027344 2.749300003051758 400.0 0.0
495.0 8.661100387573242 35.034698486328125 2.793299913406372 500.0 0.0
594.0 7.130000114440918 34.899898529052734 3.0344998836517334 600.0 0.0
693.0 6.139599800109863 34.88209915161133 3.4365999698638916 700.0 1.0
743.0 5.736100196838379 34.88949966430664 3.6282999515533447 750.0 0.0
792.0 5.439899921417236 34.89789962768555 3.8422999382019043 800.0 0.0
891.0 5.130300045013428 34.909698486328125 4.1020002365112305 900.0 0.0
990.0 4.967100143432617 34.91709899902344 4.207099914550781 1000.0 0.0

In total, there are 27 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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