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Dataset Title:  "NEGOM CTD - n7la8s01.nc - 29.51N, 85.1W - 1999-11-18" Subscribe RSS
Institution:  OCEAN.TAMU   (Dataset ID: negom_n7la8s01)
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: 22)
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   22 options
    depth ?  =  m   22 options
    temperature ?  =  degree_C   21 options
    potentialTemperature ?  =  degree_C   21 options
    conductivity ?  =  Siemens per meter   12 options
    salinity ?  =  PSU   20 options
    sigmat ?  =  kg m-3   21 options
    descentRate ?  =  meters per second   21 options
    transmission ?  =  percent   22 options
    par ?  =  umol m-2 s-1   22 options
    parv ?  =  volts   22 options
    fluorescence ?  =  volts   20 options
    backscattering ?  =  volts   20 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
1.5 1.5 19.643400192260742 19.64310073852539 4.657599925994873 34.191898345947266 24.23859977722168 -0.13500000536441803 3.3420000076293945 1359.0 3.436000108718872 1.3869999647140503 -9.0
2.0 2.0 19.640100479125977 19.639699935913086 4.65749979019165 34.19329833984375 24.24049949645996 0.23000000417232513 3.3929998874664307 1140.0 3.3529999256134033 1.5019999742507935 -9.0
2.5 2.5 19.63960075378418 19.63909912109375 4.65749979019165 34.193599700927734 24.24090003967285 0.34599998593330383 3.361999988555908 910.4000244140625 3.252000093460083 1.5130000114440918 0.925000011920929
3.0 3.0 19.63990020751953 19.639400482177734 4.65749979019165 34.19329833984375 24.2406005859375 0.5220000147819519 3.371999979019165 728.4000244140625 3.1610000133514404 1.5290000438690186 1.0640000104904175
3.5 3.5 19.640100479125977 19.63949966430664 4.657599925994873 34.193599700927734 24.240800857543945 0.492000013589859 3.3550000190734863 494.70001220703125 2.989000082015991 1.524999976158142 1.2039999961853027
4.0 4.0 19.64080047607422 19.640100479125977 4.657400131225586 34.191200256347656 24.238800048828125 0.5860000252723694 3.3570001125335693 386.3999938964844 2.888000011444092 1.5140000581741333 1.1970000267028809
4.5 4.5 19.641799926757812 19.641000747680664 4.657299995422363 34.18949890136719 24.237300872802734 0.6389999985694885 3.359999895095825 334.6000061035156 2.822999954223633 1.524999976158142 1.2209999561309814
5.0 5.0 19.641300201416016 19.640399932861328 4.65749979019165 34.19110107421875 24.23870086669922 0.38100001215934753 3.3910000324249268 273.20001220703125 2.7360000610351562 1.5499999523162842 1.2209999561309814
5.5 5.5 19.639999389648438 19.638999938964844 4.657599925994873 34.19309997558594 24.24049949645996 0.33899998664855957 3.4079999923706055 241.10000610351562 2.680000066757202 1.5429999828338623 1.1699999570846558
6.0 6.0 19.64109992980957 19.639999389648438 4.657400131225586 34.19049835205078 24.238300323486328 0.25600001215934753 3.4240000247955322 225.60000610351562 2.6510000228881836 1.5360000133514404 1.184999942779541
6.5 6.5 19.64189910888672 19.64069938659668 4.657299995422363 34.18880081176758 24.236799240112305 0.3970000147819519 3.4130001068115234 178.6999969482422 2.552999973297119 1.5529999732971191 1.2009999752044678
7.0 7.0 19.641399383544922 19.640100479125977 4.657299995422363 34.1890983581543 24.237199783325195 0.503000020980835 3.4110000133514404 158.1999969482422 2.496999979019165 1.5640000104904175 1.2200000286102295
7.599999904632568 7.5 19.62459945678711 19.623199462890625 4.658199787139893 34.209800720214844 24.257400512695312 0.2980000078678131 3.3940000534057617 122.0 2.384000062942505 1.5679999589920044 1.2380000352859497
8.100000381469727 8.0 19.62310028076172 19.621599197387695 4.6585001945495605 34.2130012512207 24.260299682617188 0.4519999921321869 3.322999954223633 104.19999694824219 2.316999912261963 1.5429999828338623 1.2309999465942383
8.600000381469727 8.5 19.618000030517578 19.616500854492188 4.6585001945495605 34.21739959716797 24.26490020751953 0.37400001287460327 3.3510000705718994 86.41999816894531 2.234999895095825 1.5779999494552612 1.194000005722046
9.100000381469727 9.0 19.603300094604492 19.601699829101562 4.658999919891357 34.23310089111328 24.28070068359375 0.3269999921321869 3.316999912261963 70.66999816894531 2.1489999294281006 1.5950000286102295 1.309000015258789
9.600000381469727 9.5 19.600400924682617 19.59869956970215 4.65910005569458 34.23640060424805 24.284099578857422 0.527999997138977 3.265000104904175 58.400001525878906 2.063999891281128 1.6050000190734863 1.340999960899353
10.100000381469727 10.0 19.58810043334961 19.586299896240234 4.65880012512207 34.24399948120117 24.292999267578125 0.3630000054836273 3.25 46.599998474121094 1.965999960899353 1.6230000257492065 1.3600000143051147
10.600000381469727 10.5 19.54949951171875 19.54759979248047 4.6579999923706055 34.26839828491211 24.321699142456055 0.5189999938011169 3.194999933242798 41.16999816894531 1.9140000343322754 1.6160000562667847 1.3799999952316284
11.100000381469727 11.0 19.539499282836914 19.537500381469727 4.65880012512207 34.283199310302734 24.335599899291992 0.527999997138977 3.1689999103546143 35.150001525878906 1.8450000286102295 1.628000020980835 1.468999981880188
11.600000381469727 11.5 19.541799545288086 19.53969955444336 4.665999889373779 34.3406982421875 24.3789005279541 0.2029999941587448 3.072000026702881 27.610000610351562 1.7389999628067017 1.6610000133514404 1.5570000410079956
12.100000381469727 12.0 19.56170082092285 19.559499740600586 4.676799774169922 34.41299819946289 24.42889976501465 -0.16200000047683716 2.7720000743865967 20.610000610351562 1.6230000257492065 1.6549999713897705 1.9140000343322754

In total, there are 22 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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