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Dataset Title:  "NEGOM CTD - n3l04s03.nc - 29.98N, 87.35W - 1998-00-04" Subscribe RSS
Institution:  OCEAN.TAMU   (Dataset ID: negom_n3l04s03)
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: 48)
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   48 options
    depth ?  =  m   48 options
    temperature ?  =  degree_C   48 options
    potentialTemperature ?  =  degree_C   48 options
    conductivity ?  =  Siemens per meter   48 options
    salinity ?  =  PSU   48 options
    sigmat ?  =  kg m-3   48 options
    descentRate ?  =  meters per second   46 options
    transmission ?  =  percent   37 options
    par ?  =  umol m-2 s-1   1 option: -9.0
    parv ?  =  volts   1 option: -9.0
    fluorescence ?  =  volts   46 options
    backscattering ?  =  volts   40 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
3.5 3.5 28.852699279785156 28.851900100708008 5.499599933624268 33.52830123901367 21.008699417114258 0.1860000044107437 4.190999984741211 -9.0 -9.0 1.156999945640564 0.18000000715255737
4.0 4.0 28.84709930419922 28.846099853515625 5.500100135803223 33.535701751708984 21.016199111938477 0.4449999928474426 4.190999984741211 -9.0 -9.0 1.1449999809265137 0.17499999701976776
4.5 4.5 28.81290054321289 28.811800003051758 5.5015997886657715 33.569801330566406 21.0531005859375 0.6159999966621399 4.190000057220459 -9.0 -9.0 1.1579999923706055 0.17599999904632568
5.0 5.0 28.731199264526367 28.729999542236328 5.502699851989746 33.634498596191406 21.128799438476562 0.5770000219345093 4.186999797821045 -9.0 -9.0 1.1740000247955322 0.1720000058412552
5.5 5.5 28.75550079345703 28.754199981689453 5.502200126647949 33.61389923095703 21.105300903320312 0.4129999876022339 4.184000015258789 -9.0 -9.0 1.1759999990463257 0.17299999296665192
6.0 6.0 28.77359962463379 28.772199630737305 5.501399993896484 33.59579849243164 21.0856990814209 0.45500001311302185 4.185999870300293 -9.0 -9.0 1.180999994277954 0.17100000381469727
6.5 6.5 28.71969985961914 28.71809959411621 5.504000186920166 33.65119934082031 21.145200729370117 0.515999972820282 4.183000087738037 -9.0 -9.0 1.1740000247955322 0.17100000381469727
7.0 7.0 28.67650032043457 28.674800872802734 5.50570011138916 33.69380187988281 21.191499710083008 0.527999997138977 4.183000087738037 -9.0 -9.0 1.194000005722046 0.17100000381469727
7.599999904632568 7.5 28.621599197387695 28.619800567626953 5.507999897003174 33.748199462890625 21.250499725341797 0.5509999990463257 4.188000202178955 -9.0 -9.0 1.2070000171661377 0.17399999499320984
8.100000381469727 8.0 28.546899795532227 28.545000076293945 5.510799884796143 33.82059860229492 21.329500198364258 0.5360000133514404 4.188000202178955 -9.0 -9.0 1.2079999446868896 0.17000000178813934
8.600000381469727 8.5 28.556900024414062 28.554899215698242 5.510300159454346 33.80939865112305 21.317899703979492 0.4659999907016754 4.186999797821045 -9.0 -9.0 1.2029999494552612 0.16899999976158142
9.100000381469727 9.0 28.510700225830078 28.508499145507812 5.512199878692627 33.855899810791016 21.368099212646484 0.43700000643730164 4.185999870300293 -9.0 -9.0 1.1929999589920044 0.17000000178813934
9.600000381469727 9.5 28.398700714111328 28.396400451660156 5.5167999267578125 33.96730041503906 21.48859977722168 0.47600001096725464 4.182000160217285 -9.0 -9.0 1.1950000524520874 0.1770000010728836
10.100000381469727 10.0 28.31329917907715 28.31089973449707 5.520299911499023 34.05289840698242 21.58099937438965 0.5080000162124634 4.179999828338623 -9.0 -9.0 1.1990000009536743 0.17000000178813934
10.600000381469727 10.5 28.087499618530273 28.084999084472656 5.52810001373291 34.270301818847656 21.818199157714844 0.5299999713897705 4.169000148773193 -9.0 -9.0 1.2109999656677246 0.16500000655651093
11.100000381469727 11.0 27.817800521850586 27.815200805664062 5.532899856567383 34.500301361083984 22.079099655151367 0.5400000214576721 4.169000148773193 -9.0 -9.0 1.2359999418258667 0.1679999977350235
11.600000381469727 11.5 26.82819938659668 26.825599670410156 5.53380012512207 35.24660110473633 22.959199905395508 0.5 4.114999771118164 -9.0 -9.0 1.277999997138977 0.17299999296665192
12.100000381469727 12.0 26.086700439453125 26.083999633789062 5.519400119781494 35.713401794433594 23.545400619506836 0.4650000035762787 4.093999862670898 -9.0 -9.0 1.3370000123977661 0.16899999976158142
12.600000381469727 12.5 25.75279998779297 25.75 5.499499797821045 35.828800201416016 23.7367000579834 0.46299999952316284 4.0960001945495605 -9.0 -9.0 1.3760000467300415 0.16699999570846558
13.100000381469727 13.0 25.186100006103516 25.18320083618164 5.466300010681152 36.03120040893555 24.064699172973633 0.46700000762939453 4.111000061035156 -9.0 -9.0 1.4470000267028809 0.16599999368190765
13.600000381469727 13.5 24.77120018005371 24.768299102783203 5.432700157165527 36.112300872802734 24.252700805664062 0.527999997138977 4.142000198364258 -9.0 -9.0 1.4809999465942383 0.15399999916553497
14.100000381469727 14.0 24.60610008239746 24.603099822998047 5.417500019073486 36.13140106201172 24.31719970703125 0.5569999814033508 4.169000148773193 -9.0 -9.0 1.468999981880188 0.1420000046491623
14.600000381469727 14.5 24.37820053100586 24.375099182128906 5.394499778747559 36.14149856567383 24.393600463867188 0.5059999823570251 4.190000057220459 -9.0 -9.0 1.4600000381469727 0.13600000739097595
15.100000381469727 15.0 24.244300842285156 24.241100311279297 5.381499767303467 36.151100158691406 24.441099166870117 0.4880000054836273 4.197999954223633 -9.0 -9.0 1.4620000123977661 0.13699999451637268
15.600000381469727 15.5 24.108299255371094 24.104999542236328 5.366499900817871 36.147701263427734 24.479299545288086 0.5329999923706055 4.201000213623047 -9.0 -9.0 1.468999981880188 0.1420000046491623
16.100000381469727 16.0 23.947200775146484 23.94379997253418 5.349899768829346 36.15190124511719 24.530500411987305 0.44200000166893005 4.183000087738037 -9.0 -9.0 1.5099999904632568 0.15199999511241913
16.600000381469727 16.5 23.970600128173828 23.967100143432617 5.348999977111816 36.1260986328125 24.503999710083008 0.3540000021457672 4.14300012588501 -9.0 -9.0 1.6230000257492065 0.16500000655651093
17.100000381469727 17.0 23.506799697875977 23.50320053100586 5.305699825286865 36.173301696777344 24.67690086364746 0.6620000004768372 4.059000015258789 -9.0 -9.0 1.75600004196167 0.17800000309944153
17.600000381469727 17.5 23.299999237060547 23.29640007019043 5.284599781036377 36.18009948730469 24.742700576782227 0.765999972820282 3.996000051498413 -9.0 -9.0 1.8660000562667847 0.26100000739097595
18.100000381469727 18.0 23.258899688720703 23.255199432373047 5.280700206756592 36.18360137939453 24.757400512695312 0.6420000195503235 4.010000228881836 -9.0 -9.0 1.9190000295639038 0.31200000643730164
18.600000381469727 18.5 23.434600830078125 23.430700302124023 5.296800136566162 36.16389846801758 24.69099998474121 0.296999990940094 4.031000137329102 -9.0 -9.0 1.9509999752044678 0.3240000009536743
19.100000381469727 19.0 22.666799545288086 22.662900924682617 5.21619987487793 36.17210006713867 24.92009925842285 0.3580000102519989 4.004000186920166 -9.0 -9.0 1.9630000591278076 0.31299999356269836
19.600000381469727 19.5 22.582199096679688 22.57819938659668 5.206699848175049 36.167301177978516 24.940799713134766 0.2160000056028366 3.997999906539917 -9.0 -9.0 1.9859999418258667 0.3019999861717224
20.100000381469727 20.0 22.173799514770508 22.1697998046875 5.16510009765625 36.18050003051758 25.06719970703125 0.3440000116825104 3.992000102996826 -9.0 -9.0 2.002000093460083 0.30300000309944153
20.600000381469727 20.5 22.047800064086914 22.043699264526367 5.153200149536133 36.19139862060547 25.111099243164062 0.2329999953508377 4.0289998054504395 -9.0 -9.0 1.965000033378601 0.32100000977516174
21.100000381469727 21.0 21.88050079345703 21.876300811767578 5.135000228881836 36.187801361083984 25.155500411987305 0.38600000739097595 4.065000057220459 -9.0 -9.0 1.9240000247955322 0.3100000023841858
21.600000381469727 21.5 21.756999969482422 21.752700805664062 5.123700141906738 36.20130157470703 25.20039939880371 0.2329999953508377 4.090000152587891 -9.0 -9.0 1.9119999408721924 0.2800000011920929
22.100000381469727 22.0 21.686500549316406 21.682100296020508 5.116199970245361 36.200801849365234 25.21980094909668 0.27300000190734863 4.081999778747559 -9.0 -9.0 1.899999976158142 0.28200000524520874
22.700000762939453 22.5 21.63010025024414 21.625699996948242 5.110199928283691 36.200401306152344 25.235300064086914 0.18700000643730164 4.045000076293945 -9.0 -9.0 1.9539999961853027 0.28999999165534973
23.200000762939453 23.0 21.486099243164062 21.481599807739258 5.095900058746338 36.20719909667969 25.280500411987305 0.23199999332427979 4.045000076293945 -9.0 -9.0 1.975000023841858 0.29499998688697815
23.700000762939453 23.5 21.46809959411621 21.463499069213867 5.094099998474121 36.20759963989258 25.28580093383789 0.25200000405311584 4.10699987411499 -9.0 -9.0 1.7200000286102295 0.3009999990463257
24.200000762939453 24.0 21.42530059814453 21.42060089111328 5.090000152587891 36.210899353027344 25.300199508666992 0.3370000123977661 4.230000019073486 -9.0 -9.0 1.6440000534057617 0.24300000071525574
24.700000762939453 24.5 21.454500198364258 21.44969940185547 5.0929999351501465 36.20989990234375 25.291400909423828 0.27799999713897705 4.243000030517578 -9.0 -9.0 1.559999942779541 0.1860000044107437
25.200000762939453 25.0 21.410200119018555 21.40530014038086 5.088600158691406 36.21229934692383 25.305500030517578 0.22499999403953552 4.261000156402588 -9.0 -9.0 1.5219999551773071 0.1599999964237213
25.700000762939453 25.5 21.384300231933594 21.37929916381836 5.085999965667725 36.212799072265625 25.313100814819336 0.2370000034570694 4.264999866485596 -9.0 -9.0 1.4950000047683716 0.15000000596046448
26.200000762939453 26.0 21.369199752807617 21.364099502563477 5.084499835968018 36.213600158691406 25.317899703979492 0.24699999392032623 4.264999866485596 -9.0 -9.0 1.4919999837875366 0.1469999998807907
26.700000762939453 26.5 21.376300811767578 21.3710994720459 5.085299968719482 36.21379852294922 25.316200256347656 0.14800000190734863 4.263999938964844 -9.0 -9.0 1.5 0.1550000011920929
27.200000762939453 27.0 21.352699279785156 21.347400665283203 5.082699775695801 36.2130012512207 25.322099685668945 -0.11500000208616257 4.26800012588501 -9.0 -9.0 1.4850000143051147 0.16300000250339508

In total, there are 48 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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