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Dataset Title:  "NEGOM CTD - n7l06s01.nc - 30.18N, 85.88W - 1999-11-16" Subscribe RSS
Institution:  OCEAN.TAMU   (Dataset ID: negom_n7l06s01)
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: 33)
Make as many selections as you want, in any order. Each selection changes the other options (and the map and data below) accordingly.

    pressure ?  =  dBar   33 options
    depth ?  =  m   33 options
    temperature ?  =  degree_C   31 options
    potentialTemperature ?  =  degree_C   28 options
    conductivity ?  =  Siemens per meter   18 options
    salinity ?  =  PSU   15 options
    sigmat ?  =  kg m-3   19 options
    descentRate ?  =  meters per second   32 options
    transmission ?  =  percent   15 options
    par ?  =  umol m-2 s-1   33 options
    parv ?  =  volts   33 options
    fluorescence ?  =  volts   29 options
    backscattering ?  =  volts   27 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)  

pressure depth temperature potentialTemperature conductivity salinity sigmat descentRate transmission par parv fluorescence backscattering
dBar m degree_C degree_C Siemens per meter PSU kg m-3 meters per second percent umol m-2 s-1 volts volts volts
2.0 2.0 21.6653995513916 21.665000915527344 5.033400058746338 35.567298889160156 24.742599487304688 0.17100000381469727 4.072999954223633 86.83999633789062 2.23799991607666 1.149999976158142 0.33000001311302185
2.5 2.5 21.663999557495117 21.66349983215332 5.033599853515625 35.569400787353516 24.744600296020508 0.24300000071525574 4.079999923706055 69.62999725341797 2.1410000324249268 1.1390000581741333 0.3179999887943268
3.0 3.0 21.660999298095703 21.660400390625 5.033299922943115 35.569400787353516 24.745500564575195 0.2770000100135803 4.074999809265137 58.09000015258789 2.062999963760376 1.1369999647140503 0.31299999356269836
3.5 3.5 21.665000915527344 21.6643009185791 5.033699989318848 35.56890106201172 24.743999481201172 0.2939999997615814 4.072999954223633 54.779998779296875 2.0380001068115234 1.159000039100647 0.296999990940094
4.0 4.0 21.66360092163086 21.662799835205078 5.033599853515625 35.569698333740234 24.7450008392334 0.28999999165534973 4.066999912261963 53.709999084472656 2.0290000438690186 1.1770000457763672 0.32600000500679016
4.5 4.5 21.663799285888672 21.662900924682617 5.033599853515625 35.56930160522461 24.744800567626953 0.26600000262260437 4.074999809265137 51.060001373291016 2.006999969482422 1.187999963760376 0.35499998927116394
5.0 5.0 21.661699295043945 21.66069984436035 5.033699989318848 35.57120132446289 24.74679946899414 0.3059999942779541 4.071000099182129 48.040000915527344 1.9809999465942383 1.1710000038146973 0.33899998664855957
5.5 5.5 21.661800384521484 21.66069984436035 5.0335001945495605 35.569698333740234 24.74570083618164 0.32100000977516174 4.071000099182129 44.810001373291016 1.9500000476837158 1.1699999570846558 0.3269999921321869
6.0 6.0 21.662700653076172 21.661500930786133 5.033699989318848 35.569801330566406 24.745500564575195 0.25200000405311584 4.072000026702881 41.84000015258789 1.9210000038146973 1.1820000410079956 0.3160000145435333
6.5 6.5 21.664199829101562 21.662900924682617 5.03380012512207 35.569400787353516 24.744800567626953 0.2840000092983246 4.074999809265137 38.91999816894531 1.8890000581741333 1.1690000295639038 0.31200000643730164
7.0 7.0 21.666099548339844 21.66469955444336 5.033899784088135 35.569000244140625 24.743999481201172 0.33399999141693115 4.074999809265137 36.689998626708984 1.8639999628067017 1.1740000247955322 0.3070000112056732
7.599999904632568 7.5 21.667400360107422 21.6658992767334 5.03410005569458 35.56890106201172 24.743600845336914 0.3190000057220459 4.072999954223633 34.7599983215332 1.840000033378601 1.190999984741211 0.3269999921321869
8.100000381469727 8.0 21.667699813842773 21.666099548339844 5.03410005569458 35.56890106201172 24.743499755859375 0.24199999868869781 4.073999881744385 32.70000076293945 1.8140000104904175 1.194000005722046 0.3370000123977661
8.600000381469727 8.5 21.666099548339844 21.664400100708008 5.03410005569458 35.569801330566406 24.744699478149414 0.2930000126361847 4.065000057220459 30.950000762939453 1.7899999618530273 1.2020000219345093 0.34700000286102295
9.100000381469727 9.0 21.66659927368164 21.6648006439209 5.034200191497803 35.569801330566406 24.744600296020508 0.3529999852180481 4.064000129699707 29.6299991607666 1.7710000276565552 1.1779999732971191 0.34299999475479126
9.600000381469727 9.5 21.666500091552734 21.664600372314453 5.034299850463867 35.5702018737793 24.7450008392334 0.30000001192092896 4.066999912261963 28.399999618530273 1.753000020980835 1.1790000200271606 0.33799999952316284
10.100000381469727 10.0 21.6658992767334 21.66390037536621 5.034299850463867 35.570899963378906 24.74570083618164 0.2290000021457672 4.067999839782715 27.149999618530273 1.7330000400543213 1.184999942779541 0.32600000500679016
10.600000381469727 10.5 21.665700912475586 21.66360092163086 5.034299850463867 35.570701599121094 24.7455997467041 0.31700000166893005 4.074999809265137 26.100000381469727 1.715999960899353 1.1729999780654907 0.3140000104904175
11.100000381469727 11.0 21.66629981994629 21.664100646972656 5.03439998626709 35.57099914550781 24.74570083618164 0.3400000035762787 4.072000026702881 25.420000076293945 1.7050000429153442 1.1610000133514404 0.33799999952316284
11.600000381469727 11.5 21.666200637817383 21.66390037536621 5.03439998626709 35.57120132446289 24.745899200439453 0.2840000092983246 4.071000099182129 24.530000686645508 1.6890000104904175 1.156999945640564 0.3330000042915344
12.100000381469727 12.0 21.665800094604492 21.663400650024414 5.03439998626709 35.57109832763672 24.746000289916992 0.23899999260902405 4.065000057220459 23.739999771118164 1.6749999523162842 1.1920000314712524 0.33399999141693115
12.600000381469727 12.5 21.667200088500977 21.66469955444336 5.034599781036377 35.57099914550781 24.7455997467041 0.2720000147819519 4.070000171661377 23.100000381469727 1.6629999876022339 1.2050000429153442 0.33500000834465027
13.100000381469727 13.0 21.665599822998047 21.663000106811523 5.03439998626709 35.57120132446289 24.7460994720459 0.20900000631809235 4.073999881744385 22.610000610351562 1.6540000438690186 1.1759999990463257 0.32899999618530273
13.600000381469727 13.5 21.667299270629883 21.664600372314453 5.034599781036377 35.57109832763672 24.74570083618164 0.18000000715255737 4.072999954223633 21.989999771118164 1.6410000324249268 1.190000057220459 0.3269999921321869
14.100000381469727 14.0 21.667299270629883 21.664499282836914 5.0346999168396 35.57109832763672 24.74570083618164 0.22699999809265137 4.072999954223633 21.719999313354492 1.6360000371932983 1.1859999895095825 0.32899999618530273
14.600000381469727 14.5 21.66550064086914 21.662599563598633 5.0345001220703125 35.5713005065918 24.746400833129883 0.20200000703334808 4.072999954223633 21.049999237060547 1.621999979019165 1.1759999990463257 0.31299999356269836
15.100000381469727 15.0 21.662399291992188 21.659400939941406 5.034200191497803 35.5713996887207 24.747299194335938 0.17399999499320984 4.073999881744385 20.780000686645508 1.6169999837875366 1.2020000219345093 0.2980000078678131
15.600000381469727 15.5 21.66390037536621 21.66080093383789 5.03439998626709 35.5713005065918 24.74679946899414 0.11299999803304672 4.081999778747559 20.389999389648438 1.6089999675750732 1.1890000104904175 0.3240000009536743
16.100000381469727 16.0 21.670000076293945 21.666799545288086 5.034999847412109 35.57120132446289 24.745100021362305 0.14800000190734863 4.077000141143799 20.0 1.600000023841858 1.1619999408721924 0.36500000953674316
16.600000381469727 16.5 21.670400619506836 21.66710090637207 5.035099983215332 35.570899963378906 24.744800567626953 0.1379999965429306 4.074999809265137 19.31999969482422 1.5850000381469727 1.1679999828338623 0.3529999852180481
17.100000381469727 17.0 21.67169952392578 21.66830062866211 5.035200119018555 35.570899963378906 24.744400024414062 0.10899999737739563 4.068999767303467 18.81999969482422 1.5740000009536743 1.1670000553131104 0.3409999907016754
17.600000381469727 17.5 21.67140007019043 21.66790008544922 5.035200119018555 35.57099914550781 24.744600296020508 0.15700000524520874 4.059999942779541 18.020000457763672 1.5549999475479126 1.156999945640564 0.335999995470047
18.100000381469727 18.0 21.671499252319336 21.667999267578125 5.035299777984619 35.5713005065918 24.744800567626953 0.125 4.071000099182129 17.209999084472656 1.534999966621399 1.2020000219345093 0.3310000002384186

In total, there are 33 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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