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Dataset Title:  "NEGOM CTD - n6l01s01.nc - 29.06N, 89.03W - 1999-00-18" Subscribe RSS
Institution:  OCEAN.TAMU   (Dataset ID: negom_n6l01s01)
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: 30)
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   30 options
    depth ?  =  m   30 options
    temperature ?  =  degree_C   30 options
    potentialTemperature ?  =  degree_C   30 options
    conductivity ?  =  Siemens per meter   29 options
    salinity ?  =  PSU   30 options
    sigmat ?  =  kg m-3   30 options
    descentRate ?  =  meters per second   28 options
    transmission ?  =  percent   29 options
    par ?  =  umol m-2 s-1   30 options
    parv ?  =  volts   30 options
    fluorescence ?  =  volts   30 options
    backscattering ?  =  volts   29 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 30.92919921875 30.928699493408203 3.8756000995635986 21.74519920349121 11.517600059509277 0.050999999046325684 1.899999976158142 250.5 2.750999927520752 2.1530001163482666 0.9020000100135803
2.5 2.5 30.88610076904297 30.885499954223633 4.207099914550781 23.837600708007812 13.088800430297852 0.17499999701976776 2.0759999752044678 70.0999984741211 2.1389999389648438 2.0929999351501465 0.9179999828338623
3.0 3.0 30.841899871826172 30.84119987487793 4.471199989318848 25.529499053955078 14.36359977722168 0.20900000631809235 3.0859999656677246 40.75 1.906000018119812 1.9149999618530273 0.8899999856948853
3.5 3.5 30.79490089416504 30.79400062561035 4.768700122833252 27.455799102783203 15.815400123596191 0.2590000033378601 3.561000108718872 24.65999984741211 1.6829999685287476 1.843000054359436 0.7839999794960022
4.0 4.0 30.787200927734375 30.78619956970215 4.8171000480651855 27.77120018005371 16.053199768066406 0.164000004529953 3.677000045776367 15.170000076293945 1.4780000448226929 1.7680000066757202 0.7519999742507935
4.5 4.5 30.738300323486328 30.737199783325195 4.861999988555908 28.08839988708496 16.306499481201172 0.296999990940094 3.822000026702881 10.579999923706055 1.3229999542236328 1.7899999618530273 0.7820000052452087
5.0 5.0 30.48110008239746 30.479900360107422 5.116499900817871 29.893600463867188 17.741500854492188 0.1809999942779541 3.819999933242798 9.229999542236328 1.2640000581741333 1.843999981880188 0.8169999718666077
5.5 5.5 30.29949951171875 30.298099517822266 5.256700038909912 30.927400588989258 18.575700759887695 0.2750000059604645 3.861999988555908 8.039999961853027 1.2039999961853027 1.7879999876022339 0.8040000200271606
6.0 6.0 30.07080078125 30.069299697875977 5.327400207519531 31.54199981689453 19.112899780273438 0.21799999475479126 3.9639999866485596 6.730000019073486 1.1260000467300415 1.7239999771118164 0.7789999842643738
6.5 6.5 29.923099517822266 29.921499252319336 5.34689998626709 31.768299102783203 19.33209991455078 0.20499999821186066 4.001999855041504 5.53000020980835 1.0420000553131104 1.6180000305175781 0.7480000257492065
7.0 7.0 29.89929962158203 29.897499084472656 5.348299980163574 31.792999267578125 19.358699798583984 0.2540000081062317 4.039999961853027 4.610000133514404 0.9620000123977661 1.6480000019073486 0.7319999933242798
7.599999904632568 7.5 29.87540054321289 29.873600006103516 5.349699974060059 31.817699432373047 19.385299682617188 0.18299999833106995 4.052999973297119 3.809999942779541 0.8790000081062317 1.6269999742507935 0.718999981880188
8.100000381469727 8.0 29.838300704956055 29.836299896240234 5.35230016708374 31.859699249267578 19.42930030822754 0.2409999966621399 4.061999797821045 3.2200000286102295 0.8069999814033508 1.6169999837875366 0.7129999995231628
8.600000381469727 8.5 29.569799423217773 29.567699432373047 5.3744001388549805 32.18550109863281 19.763399124145508 0.2070000022649765 4.052000045776367 2.7899999618530273 0.7450000047683716 1.6050000190734863 0.7020000219345093
9.100000381469727 9.0 29.384899139404297 29.382699966430664 5.394400119781494 32.44449996948242 20.019399642944336 0.20399999618530273 4.047999858856201 2.490000009536743 0.6949999928474426 1.559000015258789 0.7059999704360962
9.600000381469727 9.5 29.04439926147461 29.04210090637207 5.402599811553955 32.731201171875 20.347700119018555 0.21299999952316284 4.052999973297119 2.2100000381469727 0.6439999938011169 1.4759999513626099 0.7210000157356262
10.100000381469727 10.0 28.76259994506836 28.76020050048828 5.41949987411499 33.040199279785156 20.672800064086914 0.21899999678134918 4.01800012588501 2.0 0.6010000109672546 1.4249999523162842 0.7319999933242798
10.600000381469727 10.5 28.2362003326416 28.233699798583984 5.428699970245361 33.4724006652832 21.17020034790039 0.19099999964237213 4.031000137329102 1.809999942779541 0.5580000281333923 1.434999942779541 0.7260000109672546
11.100000381469727 11.0 28.150299072265625 28.1476993560791 5.483699798583984 33.915199279785156 21.5310001373291 0.2409999966621399 4.063000202178955 1.6399999856948853 0.5149999856948853 1.4529999494552612 0.6940000057220459
11.600000381469727 11.5 28.16819953918457 28.16550064086914 5.533899784088135 34.25210189819336 21.77829933166504 0.18400000035762787 4.0289998054504395 1.4900000095367432 0.47200000286102295 1.4119999408721924 0.7120000123977661
12.100000381469727 12.0 28.111000061035156 28.108200073242188 5.544400215148926 34.36629867553711 21.88290023803711 0.22499999403953552 3.7760000228881836 1.3700000047683716 0.4339999854564667 1.378000020980835 0.7889999747276306
12.600000381469727 12.5 28.08650016784668 28.083499908447266 5.55079984664917 34.42900085449219 21.937999725341797 0.20900000631809235 3.632999897003174 1.2599999904632568 0.4009999930858612 1.3380000591278076 0.8069999814033508
13.100000381469727 13.0 28.07699966430664 28.07390022277832 5.5524001121521 34.4468994140625 21.954599380493164 0.19200000166893005 3.4609999656677246 1.1799999475479126 0.3720000088214874 1.312000036239624 0.8199999928474426
13.600000381469727 13.5 27.973600387573242 27.970399856567383 5.559299945831299 34.57059860229492 22.08139991760254 0.25099998712539673 3.3269999027252197 1.100000023841858 0.3400000035762787 1.309000015258789 0.8550000190734863
14.100000381469727 14.0 27.56679916381836 27.563499450683594 5.564799785614014 34.90999984741211 22.468900680541992 0.18000000715255737 3.0940001010894775 1.0 0.2980000078678131 1.2920000553131104 0.9169999957084656
14.600000381469727 14.5 27.35770034790039 27.354299545288086 5.563199996948242 35.05509948730469 22.645599365234375 0.24400000274181366 2.812999963760376 0.8999999761581421 0.25600001215934753 1.2660000324249268 0.968999981880188
15.100000381469727 15.0 27.30780029296875 27.30430030822754 5.5619001388549805 35.08330154418945 22.682899475097656 0.210999995470047 2.7039999961853027 0.8100000023841858 0.20900000631809235 1.2280000448226929 1.0130000114440918
15.600000381469727 15.5 27.243000030517578 27.23940086364746 5.559299945831299 35.11320114135742 22.72640037536621 0.19300000369548798 2.634000062942505 0.7099999785423279 0.15000000596046448 1.2020000219345093 0.9860000014305115
16.100000381469727 16.0 27.145000457763672 27.141300201416016 5.554699897766113 35.15399932861328 22.78860092163086 0.23600000143051147 2.6689999103546143 0.6200000047683716 0.09200000017881393 1.194000005722046 0.9789999723434448
16.600000381469727 16.5 27.01569938659668 27.011899948120117 5.548099994659424 35.20500183105469 22.86840057373047 0.18700000643730164 2.6670000553131104 0.5400000214576721 0.03099999949336052 1.2000000476837158 1.0099999904632568

In total, there are 30 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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