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Dataset Title:  "NEGOM CTD - n6l07s01.nc - 29.69N, 85.48W - 1999-00-28" Subscribe RSS
Institution:  OCEAN.TAMU   (Dataset ID: negom_n6l07s01)
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: 32)
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   32 options
    depth ?  =  m   32 options
    temperature ?  =  degree_C   31 options
    potentialTemperature ?  =  degree_C   32 options
    conductivity ?  =  Siemens per meter   30 options
    salinity ?  =  PSU   32 options
    sigmat ?  =  kg m-3   32 options
    descentRate ?  =  meters per second   29 options
    transmission ?  =  percent   27 options
    par ?  =  umol m-2 s-1   1 option: -9.0
    parv ?  =  volts   1 option: -9.0
    fluorescence ?  =  volts   28 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 30.590499877929688 30.58989906311035 5.862299919128418 34.75419998168945 21.339399337768555 0.10700000077486038 4.15500020980835 -9.0 -9.0 1.2610000371932983 -9.0
3.0 3.0 30.535499572753906 30.534700393676758 5.861999988555908 34.79119873046875 21.38610076904297 0.3089999854564667 4.170000076293945 -9.0 -9.0 1.253000020980835 -9.0
3.5 3.5 30.44499969482422 30.44409942626953 5.861400127410889 34.85200119018555 21.462900161743164 0.3319999873638153 4.171999931335449 -9.0 -9.0 1.2710000276565552 -9.0
4.0 4.0 30.44569969177246 30.444700241088867 5.861599922180176 34.85279846191406 21.463300704956055 0.3779999911785126 4.171999931335449 -9.0 -9.0 1.281000018119812 -9.0
4.5 4.5 30.438199996948242 30.43709945678711 5.861400127410889 34.85649871826172 21.468700408935547 0.414000004529953 4.169000148773193 -9.0 -9.0 1.2690000534057617 -9.0
5.0 5.0 30.444599151611328 30.443300247192383 5.861800193786621 34.85419845581055 21.464799880981445 0.38100001215934753 4.163000106811523 -9.0 -9.0 1.277999997138977 -9.0
5.5 5.5 30.429800033569336 30.42840003967285 5.865699768066406 34.890899658203125 21.497499465942383 0.38100001215934753 4.160999774932861 -9.0 -9.0 1.277999997138977 -9.0
6.0 6.0 30.41160011291504 30.41010093688965 5.8719000816345215 34.94559860229492 21.544700622558594 0.38999998569488525 4.138000011444092 -9.0 -9.0 1.2799999713897705 -9.0
6.5 6.5 30.414899826049805 30.413299560546875 5.872799873352051 34.94919967651367 21.54640007019043 0.41200000047683716 4.133999824523926 -9.0 -9.0 1.2790000438690186 -9.0
7.0 7.0 30.396400451660156 30.39459991455078 5.873000144958496 34.96390151977539 21.563800811767578 0.36800000071525574 4.135000228881836 -9.0 -9.0 1.281000018119812 -9.0
7.599999904632568 7.5 30.39929962158203 30.39739990234375 5.874300003051758 34.96989822387695 21.56730079650879 0.3700000047683716 4.127999782562256 -9.0 -9.0 1.2760000228881836 -9.0
8.100000381469727 8.0 30.418800354003906 30.416799545288086 5.876399993896484 34.96979904174805 21.56060028076172 0.42500001192092896 4.125 -9.0 -9.0 1.2890000343322754 -9.0
8.600000381469727 8.5 30.41830062866211 30.416200637817383 5.875100135803223 34.96139907836914 21.554500579833984 0.41200000047683716 4.129000186920166 -9.0 -9.0 1.3029999732971191 -9.0
9.100000381469727 9.0 30.429800033569336 30.427499771118164 5.873799800872803 34.944400787353516 21.537900924682617 0.3580000102519989 4.132999897003174 -9.0 -9.0 1.3040000200271606 -9.0
9.600000381469727 9.5 30.420299530029297 30.41790008544922 5.872300148010254 34.941200256347656 21.538799285888672 0.3630000054836273 4.131999969482422 -9.0 -9.0 1.2949999570846558 -9.0
10.100000381469727 10.0 30.416200637817383 30.413700103759766 5.8709001541137695 34.93470001220703 21.53529930114746 0.37299999594688416 4.129000186920166 -9.0 -9.0 1.2929999828338623 -9.0
10.600000381469727 10.5 30.4064998626709 30.403900146484375 5.873300075531006 34.95750045776367 21.55579948425293 0.2280000001192093 4.133999824523926 -9.0 -9.0 1.284999966621399 -9.0
11.100000381469727 11.0 30.45050048828125 30.44770050048828 5.87470006942749 34.935298919677734 21.524099349975586 0.16300000250339508 4.129000186920166 -9.0 -9.0 1.2879999876022339 -9.0
11.600000381469727 11.5 30.323400497436523 30.320499420166016 5.87470006942749 35.0265007019043 21.636199951171875 0.23499999940395355 4.125999927520752 -9.0 -9.0 1.2929999828338623 -9.0
12.100000381469727 12.0 29.9950008392334 29.992000579833984 5.862100124359131 35.179100036621094 21.86319923400879 0.1979999989271164 4.118000030517578 -9.0 -9.0 1.3079999685287476 -9.0
12.600000381469727 12.5 29.653600692749023 29.65049934387207 5.8516998291015625 35.357398986816406 22.11319923400879 0.2150000035762787 4.123000144958496 -9.0 -9.0 1.3279999494552612 -9.0
13.100000381469727 13.0 29.458099365234375 29.45490074157715 5.842599868774414 35.43880081176758 22.2406005859375 0.20399999618530273 4.144000053405762 -9.0 -9.0 1.3259999752044678 -9.0
13.600000381469727 13.5 29.18670082092285 29.183399200439453 5.8221001625061035 35.4989013671875 22.377199172973633 0.210999995470047 4.171000003814697 -9.0 -9.0 1.3140000104904175 -9.0
14.100000381469727 14.0 29.037500381469727 29.034099578857422 5.810400009155273 35.52880096435547 22.449800491333008 0.19900000095367432 4.201000213623047 -9.0 -9.0 1.3020000457763672 -9.0
14.600000381469727 14.5 28.817699432373047 28.814199447631836 5.793300151824951 35.57500076293945 22.558000564575195 0.16300000250339508 4.216000080108643 -9.0 -9.0 1.2979999780654907 -9.0
15.100000381469727 15.0 28.61720085144043 28.61359977722168 5.777900218963623 35.61800003051758 22.657100677490234 0.14100000262260437 4.2129998207092285 -9.0 -9.0 1.3140000104904175 -9.0
15.600000381469727 15.5 28.41160011291504 28.407899856567383 5.760499954223633 35.651100158691406 22.750099182128906 0.15399999916553497 4.183000087738037 -9.0 -9.0 1.3539999723434448 -9.0
16.100000381469727 16.0 28.157400131225586 28.153600692749023 5.739799976348877 35.69810104370117 22.869300842285156 0.15299999713897705 4.135000228881836 -9.0 -9.0 1.3899999856948853 -9.0
16.600000381469727 16.5 28.023099899291992 28.01919937133789 5.728600025177002 35.72090148925781 22.930599212646484 0.14000000059604645 4.067999839782715 -9.0 -9.0 1.4579999446868896 -9.0
17.100000381469727 17.0 27.986600875854492 27.98259925842285 5.725500106811523 35.72669982910156 22.94700050354004 0.16699999570846558 3.9230000972747803 -9.0 -9.0 1.5470000505447388 -9.0
17.600000381469727 17.5 27.976299285888672 27.97209930419922 5.724699974060059 35.72880172729492 22.951900482177734 0.1679999977350235 3.8329999446868896 -9.0 -9.0 1.6349999904632568 -9.0
18.100000381469727 18.0 27.968799591064453 27.964500427246094 5.724100112915039 35.730201721191406 22.95549964904785 0.13099999725818634 3.763000011444092 -9.0 -9.0 1.6679999828338623 -9.0

In total, there are 32 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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