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Dataset Title:  "LATEX CTD - d94j028.nc - 28.63N, 90.51W - 1994-11-04" Subscribe RSS
Institution:  Texas A&M University, Department of Oceanography   (Dataset ID: latex_d94j028)
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   30 options
    potentialTemperature ?  =  degree_C   25 options
    conductivity ?  =  Siemens per meter   19 options
    salinity ?  =  PSU   20 options
    sigmat ?  =  kg m-3   22 options
    descentRate ?  =  meters per second   33 options
    transmission ?  =  percent   26 options
    par ?  =  umol m-2 s-1   5 options
    parv ?  =  volts   5 options
    fluorescence ?  =  volts   28 options
    backscattering ?  =  volts   22 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 25.186800003051758 25.186199188232422 5.23960018157959 34.361698150634766 22.80419921875 0.3540000021457672 3.443000078201294 1.0 0.14100000262260437 1.6469999551773071 0.2329999953508377
3.0 3.0 25.186199188232422 25.18549919128418 5.23960018157959 34.36180114746094 22.804500579833984 0.3840000033378601 3.4509999752044678 0.9800000190734863 0.13099999725818634 1.6380000114440918 0.23199999332427979
3.5 3.5 25.18630027770996 25.18560028076172 5.239699840545654 34.36199951171875 22.80459976196289 0.453000009059906 3.450000047683716 0.8199999928474426 0.05299999937415123 1.6399999856948853 0.2329999953508377
4.0 4.0 25.187400817871094 25.186599731445312 5.239799976348877 34.362098693847656 22.804399490356445 0.3479999899864197 3.4549999237060547 0.7200000286102295 -9.0 1.6469999551773071 0.23100000619888306
4.5 4.5 25.188600540161133 25.187599182128906 5.239999771118164 34.36220169067383 22.804100036621094 0.6129999756813049 3.4519999027252197 0.7300000190734863 0.0 1.6759999990463257 0.23100000619888306
5.0 5.0 25.18910026550293 25.187999725341797 5.239999771118164 34.36199951171875 22.803800582885742 0.621999979019165 3.4539999961853027 0.7300000190734863 0.0 1.6779999732971191 0.2370000034570694
5.5 5.5 25.189199447631836 25.187999725341797 5.239999771118164 34.36180114746094 22.803699493408203 0.3709999918937683 3.4600000381469727 0.7300000190734863 0.0 1.694000005722046 0.22699999809265137
6.0 6.0 25.18939971923828 25.188100814819336 5.239999771118164 34.36140060424805 22.803300857543945 0.2919999957084656 3.4630000591278076 0.7300000190734863 0.0 1.6619999408721924 0.2280000001192093
6.5 6.5 25.189699172973633 25.188199996948242 5.239999771118164 34.361000061035156 22.80299949645996 0.3409999907016754 3.4830000400543213 0.7300000190734863 0.0 1.6510000228881836 0.23100000619888306
7.0 7.0 25.19070053100586 25.18910026550293 5.240099906921387 34.36050033569336 22.802400588989258 0.3630000054836273 3.503999948501587 0.7300000190734863 0.0 1.6430000066757202 0.21799999475479126
7.599999904632568 7.5 25.19409942626953 25.1924991607666 5.240499973297119 34.360599517822266 22.80150032043457 0.3959999978542328 3.51200008392334 0.7300000190734863 0.0 1.6460000276565552 0.2150000035762787
8.100000381469727 8.0 25.193500518798828 25.191699981689453 5.2403998374938965 34.36069869995117 22.801700592041016 0.34599998593330383 3.5139999389648438 0.7300000190734863 0.0 1.6480000019073486 0.21899999678134918
8.600000381469727 8.5 25.194299697875977 25.1924991607666 5.240600109100342 34.36090087890625 22.801700592041016 0.2980000078678131 3.51200008392334 0.7300000190734863 0.0 1.649999976158142 0.20999999344348907
9.100000381469727 9.0 25.194499969482422 25.1924991607666 5.240600109100342 34.361000061035156 22.801700592041016 0.4000000059604645 3.510999917984009 0.7300000190734863 0.0 1.6490000486373901 0.21899999678134918
9.600000381469727 9.5 25.194499969482422 25.1924991607666 5.240600109100342 34.361000061035156 22.801700592041016 0.35199999809265137 3.510999917984009 0.7300000190734863 0.0 1.6579999923706055 0.22599999606609344
10.100000381469727 10.0 25.195199966430664 25.19300079345703 5.240699768066406 34.360801696777344 22.80139923095703 0.3659999966621399 3.506999969482422 0.7300000190734863 0.0 1.6610000133514404 0.22300000488758087
10.600000381469727 10.5 25.195999145507812 25.193700790405273 5.240799903869629 34.36090087890625 22.801300048828125 0.45100000500679016 3.50600004196167 0.7300000190734863 0.0 1.6579999923706055 0.2150000035762787
11.100000381469727 11.0 25.19659996032715 25.19420051574707 5.241000175476074 34.36159896850586 22.801599502563477 0.3190000057220459 3.510999917984009 0.7300000190734863 0.0 1.6660000085830688 0.2240000069141388
11.600000381469727 11.5 25.196699142456055 25.19420051574707 5.241099834442139 34.361900329589844 22.80190086364746 0.3370000123977661 3.506999969482422 0.7300000190734863 0.0 1.6649999618530273 0.21299999952316284
12.100000381469727 12.0 25.19610023498535 25.19339942932129 5.241000175476074 34.36149978637695 22.801799774169922 0.34200000762939453 3.497999906539917 0.7300000190734863 0.0 1.6549999713897705 0.21400000154972076
12.600000381469727 12.5 25.196199417114258 25.193500518798828 5.241099834442139 34.361900329589844 22.802099227905273 0.3490000069141388 3.502000093460083 0.7300000190734863 0.0 1.6579999923706055 0.2290000021457672
13.100000381469727 13.0 25.19569969177246 25.192899703979492 5.241000175476074 34.36180114746094 22.802200317382812 0.42500001192092896 3.497999906539917 0.7300000190734863 0.0 1.75 0.22499999403953552
13.600000381469727 13.5 25.19540023803711 25.1924991607666 5.240900039672852 34.361000061035156 22.801700592041016 0.3059999942779541 3.492000102996826 0.7300000190734863 0.0 1.6990000009536743 0.21899999678134918
14.100000381469727 14.0 25.19729995727539 25.19420051574707 5.241099834442139 34.36109924316406 22.801300048828125 0.29499998688697815 3.502000093460083 0.7300000190734863 0.0 1.690999984741211 0.23800000548362732
14.600000381469727 14.5 25.198299407958984 25.195100784301758 5.241300106048584 34.36159896850586 22.80139923095703 0.4399999976158142 3.499000072479248 0.7300000190734863 0.0 1.6820000410079956 0.22200000286102295
15.100000381469727 15.0 25.19860076904297 25.19529914855957 5.241399765014648 34.361698150634766 22.80139923095703 0.5490000247955322 3.496000051498413 0.7300000190734863 0.0 1.684999942779541 0.22699999809265137
15.600000381469727 15.5 25.19809913635254 25.194700241088867 5.241300106048584 34.36149978637695 22.80139923095703 0.38199999928474426 3.4700000286102295 0.7300000190734863 0.0 1.6720000505447388 0.21799999475479126
16.100000381469727 16.0 25.19729995727539 25.19379997253418 5.241199970245361 34.361000061035156 22.801300048828125 0.5389999747276306 3.490999937057495 0.7300000190734863 0.0 1.6770000457763672 0.21299999952316284
16.600000381469727 16.5 25.19700050354004 25.19339942932129 5.241199970245361 34.360801696777344 22.801300048828125 0.6119999885559082 3.490999937057495 0.7300000190734863 0.0 1.6770000457763672 0.21799999475479126
17.100000381469727 17.0 25.19700050354004 25.193300247192383 5.241300106048584 34.36130142211914 22.801700592041016 0.3869999945163727 3.486999988555908 0.7300000190734863 0.0 1.684999942779541 0.22200000286102295
17.600000381469727 17.5 25.20170021057129 25.197799682617188 5.243000030517578 34.37080001831055 22.8075008392334 0.3310000002384186 3.438999891281128 0.7300000190734863 0.0 1.7109999656677246 0.23399999737739563
18.200000762939453 18.0 25.206300735473633 25.202299118041992 5.244800090789795 34.38029861450195 22.81329917907715 0.2759999930858612 3.3919999599456787 0.7300000190734863 0.0 1.7369999885559082 0.24699999392032623
18.600000381469727 18.5 25.20560073852539 25.20159912109375 5.244699954986572 34.37950134277344 22.81290054321289 0.257999986410141 3.369999885559082 0.7300000190734863 0.0 1.7009999752044678 0.26100000739097595

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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