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Dataset Title:  "LATEX CTD - d94j075.nc - 29.17N, 94.0W - 1994-11-07" Subscribe RSS
Institution:  Texas A&M University, Department of Oceanography   (Dataset ID: latex_d94j075)
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: 26)
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   26 options
    depth ?  =  m   26 options
    temperature ?  =  degree_C   24 options
    potentialTemperature ?  =  degree_C   22 options
    conductivity ?  =  Siemens per meter   11 options
    salinity ?  =  PSU   14 options
    sigmat ?  =  kg m-3   14 options
    descentRate ?  =  meters per second   26 options
    transmission ?  =  percent   25 options
    par ?  =  umol m-2 s-1   5 options
    parv ?  =  volts   5 options
    fluorescence ?  =  volts   21 options
    backscattering ?  =  volts   24 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
2.5 2.5 23.80739974975586 23.806900024414062 4.7444000244140625 31.698999404907227 21.20240020751953 0.3319999873638153 1.6579999923706055 1.6100000143051147 0.34599998593330383 1.7599999904632568 1.0549999475479126
3.0 3.0 23.803499221801758 23.802799224853516 4.744100093841553 31.699199676513672 21.203699111938477 0.6679999828338623 1.6039999723434448 1.4700000286102295 0.3059999942779541 1.7799999713897705 1.090000033378601
3.5 3.5 23.804800033569336 23.804100036621094 4.74429988861084 31.699199676513672 21.20330047607422 0.5109999775886536 1.6799999475479126 0.949999988079071 0.11699999868869781 1.774999976158142 1.0509999990463257
4.0 4.0 23.807100296020508 23.806299209594727 4.7444000244140625 31.69879913330078 21.20240020751953 0.382999986410141 1.680999994277954 0.7400000095367432 0.009999999776482582 1.7649999856948853 1.0679999589920044
4.5 4.5 23.806900024414062 23.805999755859375 4.7444000244140625 31.69890022277832 21.202499389648438 0.5809999704360962 1.6720000505447388 0.7300000190734863 0.0 1.7640000581741333 1.0490000247955322
5.0 5.0 23.806499481201172 23.805400848388672 4.7444000244140625 31.69890022277832 21.202699661254883 0.5640000104904175 1.6169999837875366 0.7300000190734863 0.0 1.7599999904632568 1.0390000343322754
5.5 5.5 23.805299758911133 23.804100036621094 4.74429988861084 31.698999404907227 21.20319938659668 0.3269999921321869 1.6440000534057617 0.7300000190734863 0.0 1.7569999694824219 1.055999994277954
6.0 6.0 23.80500030517578 23.803699493408203 4.74429988861084 31.699100494384766 21.203399658203125 0.3140000104904175 1.6970000267028809 0.7300000190734863 0.0 1.7630000114440918 1.0570000410079956
6.5 6.5 23.805599212646484 23.80419921875 4.7444000244140625 31.698999404907227 21.20319938659668 0.3580000102519989 1.7300000190734863 0.7300000190734863 0.0 1.7690000534057617 1.0199999809265137
7.0 7.0 23.80419921875 23.802799224853516 4.74429988861084 31.699199676513672 21.203699111938477 0.2759999930858612 1.8650000095367432 0.7300000190734863 0.0 1.777999997138977 1.0089999437332153
7.599999904632568 7.5 23.804899215698242 23.803300857543945 4.7444000244140625 31.699100494384766 21.203500747680664 0.3310000002384186 1.8509999513626099 0.7300000190734863 0.0 1.7710000276565552 1.0329999923706055
8.100000381469727 8.0 23.80780029296875 23.80620002746582 4.74459981918335 31.69849967956543 21.202199935913086 0.42399999499320984 1.7760000228881836 0.7300000190734863 0.0 1.7790000438690186 1.003999948501587
8.600000381469727 8.5 23.81089973449707 23.809099197387695 4.744900226593018 31.69860076904297 21.201400756835938 0.3240000009536743 1.7200000286102295 0.7300000190734863 0.0 1.7960000038146973 1.0069999694824219
9.100000381469727 9.0 23.811899185180664 23.809999465942383 4.745100021362305 31.699100494384766 21.201499938964844 0.4569999873638153 1.6619999408721924 0.7300000190734863 0.0 1.7979999780654907 1.069000005722046
9.600000381469727 9.5 23.811899185180664 23.809900283813477 4.745100021362305 31.69890022277832 21.201400756835938 0.5580000281333923 1.6109999418258667 0.7300000190734863 0.0 1.805999994277954 1.0779999494552612
10.100000381469727 10.0 23.812400817871094 23.810300827026367 4.745200157165527 31.699100494384766 21.201400756835938 0.3779999911785126 1.6030000448226929 0.7300000190734863 0.0 1.8070000410079956 1.1430000066757202
10.600000381469727 10.5 23.812999725341797 23.810800552368164 4.7453999519348145 31.699600219726562 21.20170021057129 0.5120000243186951 1.6059999465942383 0.7300000190734863 0.0 1.8040000200271606 1.1679999828338623
11.100000381469727 11.0 23.810699462890625 23.808399200439453 4.745100021362305 31.69930076599121 21.202199935913086 0.47600001096725464 1.6579999923706055 0.7300000190734863 0.0 1.8070000410079956 1.1679999828338623
11.600000381469727 11.5 23.810300827026367 23.807899475097656 4.745100021362305 31.699600219726562 21.202499389648438 0.3109999895095825 1.7289999723434448 0.7300000190734863 0.0 1.7949999570846558 1.1510000228881836
12.100000381469727 12.0 23.811599731445312 23.809200286865234 4.745299816131592 31.699899673461914 21.20240020751953 0.46299999952316284 1.6540000438690186 0.7300000190734863 0.0 1.7940000295639038 1.1959999799728394
12.600000381469727 12.5 23.811800003051758 23.809200286865234 4.7453999519348145 31.699800491333008 21.202299118041992 0.45100000500679016 1.6519999504089355 0.7300000190734863 0.0 1.809000015258789 1.1770000457763672
13.100000381469727 13.0 23.811599731445312 23.808900833129883 4.7453999519348145 31.699800491333008 21.20240020751953 0.30000001192092896 1.7029999494552612 0.7300000190734863 0.0 1.8049999475479126 1.1929999589920044
13.600000381469727 13.5 23.809900283813477 23.807100296020508 4.745200157165527 31.699800491333008 21.202899932861328 0.42100000381469727 1.6660000085830688 0.7300000190734863 0.0 1.7960000038146973 1.1970000267028809
14.100000381469727 14.0 23.811399459838867 23.808500289916992 4.7453999519348145 31.70009994506836 21.202699661254883 0.4129999876022339 1.6410000324249268 0.7300000190734863 0.0 1.8049999475479126 1.1929999589920044
14.600000381469727 14.5 23.81329917907715 23.810300827026367 4.74560022354126 31.700199127197266 21.202299118041992 0.5199999809265137 1.5199999809265137 0.7300000190734863 0.0 1.815000057220459 1.1979999542236328
15.100000381469727 15.0 23.81209945678711 23.80900001525879 4.745500087738037 31.700000762939453 21.202499389648438 0.33000001311302185 1.5779999494552612 0.7300000190734863 0.0 1.815000057220459 1.225000023841858

In total, there are 26 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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