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Dataset Title:  "NEGOM CTD - n6l10s03.nc - 28.52N, 83.33W - 1999-00-22" Subscribe RSS
Institution:  OCEAN.TAMU   (Dataset ID: negom_n6l10s03)
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: 35)
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   35 options
    depth ?  =  m   35 options
    temperature ?  =  degree_C   32 options
    potentialTemperature ?  =  degree_C   33 options
    conductivity ?  =  Siemens per meter   16 options
    salinity ?  =  PSU   20 options
    sigmat ?  =  kg m-3   24 options
    descentRate ?  =  meters per second   35 options
    transmission ?  =  percent   15 options
    par ?  =  umol m-2 s-1   35 options
    parv ?  =  volts   35 options
    fluorescence ?  =  volts   26 options
    backscattering ?  =  volts   1 option: -9.0

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)  

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
2.5 2.5 30.703899383544922 30.70330047607422 6.104000091552734 36.291500091552734 22.451799392700195 0.014000000432133675 4.175000190734863 95.43000030517578 2.2690000534057617 1.399999976158142 -9.0
3.0 3.0 30.70400047302246 30.70319938659668 6.104000091552734 36.291500091552734 22.451799392700195 0.2939999997615814 4.165999889373779 75.36000061035156 2.1730000972747803 1.3849999904632568 -9.0
3.5 3.5 30.702699661254883 30.701799392700195 6.104000091552734 36.29249954223633 22.453100204467773 0.1979999989271164 4.156000137329102 63.7599983215332 2.0980000495910645 1.3930000066757202 -9.0
4.0 4.0 30.701000213623047 30.700000762939453 6.103899955749512 36.29309844970703 22.454200744628906 0.27900001406669617 4.168000221252441 54.349998474121094 2.0209999084472656 1.3819999694824219 -9.0
4.5 4.5 30.702199935913086 30.701099395751953 6.104100227355957 36.292701721191406 22.453500747680664 0.20900000631809235 4.170000076293945 51.31999969482422 1.9950000047683716 1.3839999437332153 -9.0
5.0 5.0 30.699499130249023 30.698200225830078 6.103799819946289 36.2932014465332 22.45490074157715 0.3330000042915344 4.166999816894531 38.150001525878906 1.8819999694824219 1.3910000324249268 -9.0
5.5 5.5 30.701099395751953 30.69969940185547 6.104100227355957 36.29349899291992 22.454599380493164 0.24899999797344208 4.166999816894531 39.119998931884766 1.8890000581741333 1.3799999952316284 -9.0
6.0 6.0 30.701400756835938 30.699899673461914 6.104100227355957 36.29330062866211 22.45439910888672 0.32600000500679016 4.169000148773193 36.34000015258789 1.8569999933242798 1.3969999551773071 -9.0
6.5 6.5 30.70789909362793 30.706199645996094 6.104899883270264 36.293701171875 22.452499389648438 0.3840000033378601 4.150000095367432 27.549999237060547 1.7380000352859497 1.4110000133514404 -9.0
7.0 7.0 30.70709991455078 30.705299377441406 6.104800224304199 36.29359817504883 22.452699661254883 0.2070000022649765 4.164000034332275 26.43000030517578 1.7200000286102295 1.4019999504089355 -9.0
7.599999904632568 7.5 30.709999084472656 30.708099365234375 6.105199813842773 36.293701171875 22.451799392700195 0.3499999940395355 4.1579999923706055 22.780000686645508 1.656000018119812 1.3769999742507935 -9.0
8.100000381469727 8.0 30.704299926757812 30.702299118041992 6.104599952697754 36.29389953613281 22.45400047302246 0.31299999356269836 4.165999889373779 21.59000015258789 1.6330000162124634 1.38100004196167 -9.0
8.600000381469727 8.5 30.70639991760254 30.704200744628906 6.104800224304199 36.29349899291992 22.452999114990234 0.1679999977350235 4.169000148773193 18.6299991607666 1.569000005722046 1.3830000162124634 -9.0
9.100000381469727 9.0 30.70509910583496 30.702800750732422 6.104599952697754 36.29309844970703 22.45319938659668 0.2919999957084656 4.165999889373779 16.34000015258789 1.5130000114440918 1.3860000371932983 -9.0
9.600000381469727 9.5 30.7012996673584 30.69890022277832 6.104300022125244 36.293800354003906 22.45509910583496 0.2750000059604645 4.166999816894531 15.619999885559082 1.4919999837875366 1.3730000257492065 -9.0
10.100000381469727 10.0 30.706600189208984 30.704099655151367 6.104899883270264 36.29349899291992 22.452999114990234 0.1860000044107437 4.166999816894531 13.609999656677246 1.4329999685287476 1.3880000114440918 -9.0
10.600000381469727 10.5 30.705900192260742 30.70319938659668 6.104899883270264 36.29399871826172 22.453800201416016 0.27300000190734863 4.168000221252441 12.640000343322754 1.399999976158142 1.371000051498413 -9.0
11.100000381469727 11.0 30.703500747680664 30.700700759887695 6.104700088500977 36.29410171508789 22.454700469970703 0.33399999141693115 4.166999816894531 11.399999618530273 1.3559999465942383 1.371000051498413 -9.0
11.600000381469727 11.5 30.705400466918945 30.702499389648438 6.104899883270264 36.2942008972168 22.454099655151367 0.210999995470047 4.168000221252441 10.59000015258789 1.3240000009536743 1.3680000305175781 -9.0
12.100000381469727 12.0 30.715200424194336 30.712099075317383 6.106100082397461 36.29460144042969 22.451000213623047 0.375 4.169000148773193 9.170000076293945 1.2619999647140503 1.378999948501587 -9.0
12.600000381469727 12.5 30.712299346923828 30.7091007232666 6.1057000160217285 36.2943000793457 22.451900482177734 0.25099998712539673 4.170000076293945 9.279999732971191 1.2660000324249268 1.371000051498413 -9.0
13.100000381469727 13.0 30.712799072265625 30.70949935913086 6.105800151824951 36.29410171508789 22.45159912109375 0.2669999897480011 4.171999931335449 7.989999771118164 1.2020000219345093 1.406999945640564 -9.0
13.600000381469727 13.5 30.71299934387207 30.7096004486084 6.105800151824951 36.29399871826172 22.451499938964844 0.2290000021457672 4.168000221252441 7.610000133514404 1.1799999475479126 1.371000051498413 -9.0
14.100000381469727 14.0 30.714799880981445 30.711200714111328 6.106100082397461 36.2942008972168 22.451099395751953 0.27799999713897705 4.165999889373779 6.940000057220459 1.1410000324249268 1.3700000047683716 -9.0
14.600000381469727 14.5 30.71470069885254 30.711000442504883 6.106100082397461 36.29410171508789 22.451099395751953 0.20600000023841858 4.163000106811523 6.449999809265137 1.1080000400543213 1.3799999952316284 -9.0
15.100000381469727 15.0 30.715200424194336 30.71139907836914 6.106200218200684 36.2942008972168 22.451000213623047 0.25 4.158999919891357 5.880000114440918 1.069000005722046 1.3619999885559082 -9.0
15.600000381469727 15.5 30.714799880981445 30.710800170898438 6.106200218200684 36.294498443603516 22.451499938964844 0.32499998807907104 4.163000106811523 5.409999847412109 1.031999945640564 1.3739999532699585 -9.0
16.100000381469727 16.0 30.71489906311035 30.710800170898438 6.106200218200684 36.2942008972168 22.451200485229492 0.19499999284744263 4.169000148773193 5.050000190734863 1.003000020980835 1.3739999532699585 -9.0
16.600000381469727 16.5 30.71030044555664 30.706100463867188 6.1057000160217285 36.294498443603516 22.453100204467773 0.34200000762939453 4.169000148773193 4.769999980926514 0.9779999852180481 1.3860000371932983 -9.0
17.100000381469727 17.0 30.71139907836914 30.70709991455078 6.105899810791016 36.294700622558594 22.452899932861328 0.27000001072883606 4.168000221252441 4.25 0.9279999732971191 1.3830000162124634 -9.0
17.600000381469727 17.5 30.712099075317383 30.707599639892578 6.105899810791016 36.2942008972168 22.452299118041992 0.18199999630451202 4.168000221252441 3.9100000858306885 0.890999972820282 1.3669999837875366 -9.0
18.100000381469727 18.0 30.711299896240234 30.70669937133789 6.105999946594238 36.294898986816406 22.45319938659668 0.36399999260902405 4.160999774932861 3.5999999046325684 0.8550000190734863 1.3730000257492065 -9.0
18.600000381469727 18.5 30.711999893188477 30.707300186157227 6.105999946594238 36.294700622558594 22.452899932861328 0.26499998569488525 4.164000034332275 3.369999885559082 0.8259999752044678 1.378999948501587 -9.0
19.100000381469727 19.0 30.71179962158203 30.707000732421875 6.105999946594238 36.2947998046875 22.452999114990234 0.1289999932050705 4.166999816894531 3.130000114440918 0.7950000166893005 1.3760000467300415 -9.0
19.600000381469727 19.5 30.71139907836914 30.70639991760254 6.105999946594238 36.29460144042969 22.452999114990234 -0.11299999803304672 4.1519999504089355 3.009999990463257 0.777999997138977 1.3559999465942383 -9.0

In total, there are 35 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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