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Dataset Title:  "NEGOM CTD - n9l09s03.nc - 29.34N, 83.86W - 2000-00-04" Subscribe RSS
Institution:  OCEAN.TAMU   (Dataset ID: negom_n9l09s03)
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   27 options
    conductivity ?  =  Siemens per meter   16 options
    salinity ?  =  PSU   9 options
    sigmat ?  =  kg m-3   22 options
    descentRate ?  =  meters per second   31 options
    transmission ?  =  percent   9 options
    par ?  =  umol m-2 s-1   33 options
    parv ?  =  volts   33 options
    fluorescence ?  =  volts   27 options
    backscattering ?  =  volts   15 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 29.566699981689453 29.566200256347656 5.956500053405762 36.14149856567383 22.730300903320312 -0.023000000044703484 4.10699987411499 780.2000122070312 2.568000078201294 1.3109999895095825 0.18199999630451202
2.5 2.5 29.570100784301758 29.569499969482422 5.956900119781494 36.14139938354492 22.72909927368164 0.24300000071525574 4.116000175476074 254.8000030517578 2.0139999389648438 1.3279999494552612 0.1850000023841858
3.0 3.0 29.574399948120117 29.573699951171875 5.957399845123291 36.14149856567383 22.727800369262695 0.4560000002384186 4.117000102996826 172.39999389648438 1.8600000143051147 1.3279999494552612 0.18799999356269836
3.5 3.5 29.572500228881836 29.57159996032715 5.957300186157227 36.14179992675781 22.728700637817383 0.6110000014305115 4.114999771118164 172.1999969482422 1.8450000286102295 1.3289999961853027 0.19699999690055847
4.0 4.0 29.572200775146484 29.571199417114258 5.957200050354004 36.1416015625 22.728700637817383 0.23100000619888306 4.111999988555908 151.6999969482422 1.7890000343322754 1.3270000219345093 0.19699999690055847
4.5 4.5 29.57229995727539 29.571199417114258 5.957300186157227 36.1416015625 22.728700637817383 0.30300000309944153 4.116000175476074 134.60000610351562 1.7380000352859497 1.319000005722046 0.17900000512599945
5.0 5.0 29.5718994140625 29.57069969177246 5.957300186157227 36.14179992675781 22.729000091552734 0.4059999883174896 4.113999843597412 123.80000305175781 1.7020000219345093 1.3250000476837158 0.18299999833106995
5.5 5.5 29.571800231933594 29.57040023803711 5.957300186157227 36.141700744628906 22.729000091552734 0.23999999463558197 4.117000102996826 107.9000015258789 1.6419999599456787 1.3329999446868896 0.18299999833106995
6.0 6.0 29.571500778198242 29.56999969482422 5.957300186157227 36.14189910888672 22.729299545288086 0.44600000977516174 4.116000175476074 94.7699966430664 1.5859999656677246 1.3220000267028809 0.18299999833106995
6.5 6.5 29.57159996032715 29.56999969482422 5.957300186157227 36.14179992675781 22.729299545288086 0.38499999046325684 4.114999771118164 87.58999633789062 1.5509999990463257 1.3079999685287476 0.18700000643730164
7.0 7.0 29.573400497436523 29.571699142456055 5.957499980926514 36.14149856567383 22.7283992767334 0.25699999928474426 4.116000175476074 76.91999816894531 1.4950000047683716 1.3209999799728394 0.1860000044107437
7.599999904632568 7.5 29.575000762939453 29.57309913635254 5.957699775695801 36.14139938354492 22.7278995513916 0.4880000054836273 4.111999988555908 74.0 1.4780000448226929 1.3270000219345093 0.18700000643730164
8.100000381469727 8.0 29.575300216674805 29.573299407958984 5.957699775695801 36.14149856567383 22.727800369262695 0.3190000057220459 4.111999988555908 66.0 1.4279999732971191 1.3220000267028809 0.18799999356269836
8.600000381469727 8.5 29.576400756835938 29.57430076599121 5.957900047302246 36.14139938354492 22.727500915527344 0.257999986410141 4.117000102996826 61.560001373291016 1.3980000019073486 1.3259999752044678 0.1899999976158142
9.100000381469727 9.0 29.57699966430664 29.574800491333008 5.957900047302246 36.141300201416016 22.7273006439209 0.22699999809265137 4.114999771118164 55.400001525878906 1.3530000448226929 1.3359999656677246 0.19200000166893005
9.600000381469727 9.5 29.577800750732422 29.57539939880371 5.958099842071533 36.14139938354492 22.727100372314453 0.47699999809265137 4.116000175476074 52.279998779296875 1.3270000219345093 1.3220000267028809 0.18799999356269836
10.100000381469727 10.0 29.57710075378418 29.574600219726562 5.958000183105469 36.14139938354492 22.727399826049805 0.3370000123977661 4.113999843597412 47.29999923706055 1.284000039100647 1.3140000104904175 0.18799999356269836
10.600000381469727 10.5 29.575899124145508 29.573299407958984 5.957900047302246 36.1416015625 22.72800064086914 0.4230000078678131 4.116000175476074 44.130001068115234 1.253999948501587 1.3359999656677246 0.1899999976158142
11.100000381469727 11.0 29.578500747680664 29.5757999420166 5.958199977874756 36.14120101928711 22.726900100708008 0.33000001311302185 4.116000175476074 39.869998931884766 1.2089999914169312 1.3309999704360962 0.18700000643730164
11.600000381469727 11.5 29.577699661254883 29.574899673461914 5.958099842071533 36.14139938354492 22.7273006439209 0.18299999833106995 4.117000102996826 36.810001373291016 1.1749999523162842 1.305999994277954 0.19499999284744263
12.100000381469727 12.0 29.57979965209961 29.576799392700195 5.958399772644043 36.14120101928711 22.726499557495117 0.257999986410141 4.118000030517578 33.97999954223633 1.1399999856948853 1.3229999542236328 0.1860000044107437
12.600000381469727 12.5 29.579700469970703 29.57659912109375 5.958399772644043 36.14120101928711 22.726499557495117 0.30399999022483826 4.118000030517578 30.889999389648438 1.0989999771118164 1.3339999914169312 0.1850000023841858
13.100000381469727 13.0 29.57979965209961 29.57659912109375 5.958399772644043 36.14120101928711 22.726600646972656 0.20200000703334808 4.118000030517578 28.649999618530273 1.065999984741211 1.309000015258789 0.1899999976158142
13.600000381469727 13.5 29.58049964904785 29.577199935913086 5.958499908447266 36.1411018371582 22.726299285888672 0.24300000071525574 4.119999885559082 26.579999923706055 1.034000039100647 1.3009999990463257 0.1850000023841858
14.100000381469727 14.0 29.580900192260742 29.57740020751953 5.958600044250488 36.1411018371582 22.726200103759766 0.24899999797344208 4.11899995803833 24.3799991607666 0.9959999918937683 1.315000057220459 0.18299999833106995
14.600000381469727 14.5 29.58049964904785 29.576900482177734 5.958499908447266 36.14120101928711 22.72640037536621 0.24400000274181366 4.11899995803833 22.639999389648438 0.9639999866485596 1.3029999732971191 0.18199999630451202
15.100000381469727 15.0 29.580400466918945 29.57670021057129 5.958600044250488 36.14139938354492 22.726699829101562 0.15700000524520874 4.11899995803833 20.950000762939453 0.9300000071525574 1.284999966621399 0.1889999955892563
15.600000381469727 15.5 29.581199645996094 29.57740020751953 5.958700180053711 36.141300201416016 22.72640037536621 0.16899999976158142 4.116000175476074 19.34000015258789 0.8960000276565552 1.2920000553131104 0.19599999487400055
16.100000381469727 16.0 29.582300186157227 29.57830047607422 5.958799839019775 36.1411018371582 22.725900650024414 0.16599999368190765 4.118000030517578 17.920000076293945 0.8619999885559082 1.3229999542236328 0.19599999487400055
16.600000381469727 16.5 29.581899642944336 29.577800750732422 5.958799839019775 36.1411018371582 22.72610092163086 0.1720000058412552 4.11899995803833 16.649999618530273 0.8299999833106995 1.2940000295639038 0.1850000023841858
17.100000381469727 17.0 29.58169937133789 29.577499389648438 5.958799839019775 36.141300201416016 22.726299285888672 0.21299999952316284 4.116000175476074 15.539999961853027 0.800000011920929 1.309999942779541 0.19900000095367432
17.600000381469727 17.5 29.58180046081543 29.577499389648438 5.958799839019775 36.141300201416016 22.726299285888672 0.18799999356269836 4.119999885559082 14.550000190734863 0.7720000147819519 1.3200000524520874 0.19599999487400055
18.100000381469727 18.0 29.58099937438965 29.576499938964844 5.958799839019775 36.1416015625 22.726900100708008 0.0 4.113999843597412 13.15999984741211 0.7289999723434448 1.315999984741211 0.1940000057220459

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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