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ERDDAP > tabledap > Subset ?

Dataset Title:  Glider - nokomis-20160912T2125-delayed Subscribe RSS
Institution:  US EPA Great Lakes Toxicology and Ecology Division; US EPA Great Lakes National Program Office   (Dataset ID: nokomis_20160912t2125_delayed)
Information:  Summary ? | License ? | FGDC | ISO 19115 | Metadata | Background (external link) | Data Access Form | Make a graph

Select a subset:      (Current number of distinct combinations of matching data: 62)
Make as many selections as you want, in any order. Each selection changes the other options (and the map and data below) accordingly.

    trajectory ?  =  1 option: nokomis-20160913T
    wmo_id ?  =  1 option:
    profile_id ?  =  62 options
    time ?  =  62 options
    latitude ?  =  degrees_north   62 options
    longitude ?  =  degrees_east   62 options
    time_uv ?  =  1 option:
    lat_uv ?  =  1 option:
    lon_uv ?  =  1 option:
    u ?  =  m s-1   1 option:
    v ?  =  m s-1   1 option:

View:      Map of Distinct Data ?      Distinct Data Counts ?     Distinct Data ?      Related Data Counts ?     Related Data ?

 
Map of Distinct Data ?   (Refine the map and/or download the image)
Optional: Click on the map to select the closest data.
Map of Distinct 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)  

trajectory wmo_id profile_id time latitude longitude time_uv lat_uv lon_uv u v
UTC degrees_north degrees_east m s-1 m s-1
nokomis-20160913T 1 2016-09-12T21:25:59Z 46.74941728164247 -85.68629844290312
nokomis-20160913T 2 2016-09-12T21:35:25Z 46.750322238518976 -85.68782528548162
nokomis-20160913T 3 2016-09-12T21:44:09Z 46.751161858206345 -85.68936986121568
nokomis-20160913T 4 2016-09-12T21:53:07Z 46.75202495098936 -85.69095761837399
nokomis-20160913T 5 2016-09-12T22:02:51Z 46.75292304842036 -85.69236113390652
nokomis-20160913T 6 2016-09-12T22:12:49Z 46.75378396062891 -85.6938805679594
nokomis-20160913T 7 2016-09-12T22:17:07Z 46.754154132286956 -85.69453963606117
nokomis-20160913T 8 2016-09-12T23:42:49Z 46.75840920514159 -85.67252080424434
nokomis-20160913T 9 2016-09-12T23:54:51Z 46.75903837493165 -85.66939078715265
nokomis-20160913T 10 2016-09-13T00:06:12Z 46.75928245530771 -85.6663650057845
nokomis-20160913T 11 2016-09-13T00:17:59Z 46.75931284829391 -85.66309572439052
nokomis-20160913T 12 2016-09-13T00:23:33Z 46.759329034127234 -85.66154923738434
nokomis-20160913T 13 2016-09-13T00:28:39Z 46.7593438806117 -85.66013071942197
nokomis-20160913T 14 2016-09-13T00:29:09Z 46.75934531056672 -85.6599940933473
nokomis-20160913T 15 2016-09-13T00:29:10Z 46.75934535417923 -85.6599899263588
nokomis-20160913T 16 2016-09-13T01:25:06Z 46.75950796715481 -85.64445295345527
nokomis-20160913T 17 2016-09-13T01:25:10Z 46.75950814040122 -85.64443640050268
nokomis-20160913T 18 2016-09-13T01:25:54Z 46.75951030215935 -85.6442298537791
nokomis-20160913T 19 2016-09-13T04:20:01Z 46.75963578940165 -85.59613548138726
nokomis-20160913T 20 2016-09-13T04:30:24Z 46.76075253470246 -85.59780118426897
nokomis-20160913T 21 2016-09-13T04:40:43Z 46.761866440765104 -85.59946293056072
nokomis-20160913T 22 2016-09-13T04:51:40Z 46.763048091329374 -85.60122573939096
nokomis-20160913T 23 2016-09-13T05:02:38Z 46.76423279745404 -85.6029931065644
nokomis-20160913T 24 2016-09-13T05:13:30Z 46.765405507982216 -85.60474257847844
nokomis-20160913T 25 2016-09-13T05:24:27Z 46.76680047929949 -85.60613420576631
nokomis-20160913T 26 2016-09-13T05:35:24Z 46.768445185815786 -85.60705651464957
nokomis-20160913T 27 2016-09-13T05:46:10Z 46.77006225768075 -85.60796131952144
nokomis-20160913T 28 2016-09-13T05:57:06Z 46.77170365198366 -85.608879733597
nokomis-20160913T 29 2016-09-13T06:08:22Z 46.773492690040484 -85.60968070507161
nokomis-20160913T 30 2016-09-13T06:19:34Z 46.77538471816833 -85.6103130713313
nokomis-20160913T 31 2016-09-13T06:30:39Z 46.77724640224033 -85.61079524032891
nokomis-20160913T 32 2016-09-13T06:41:08Z 46.77888059900668 -85.61154625412729
nokomis-20160913T 33 2016-09-13T06:51:26Z 46.7805948812874 -85.61213677997333
nokomis-20160913T 34 2016-09-13T07:01:19Z 46.78239079120716 -85.61259340682253
nokomis-20160913T 35 2016-09-13T07:11:41Z 46.7842731784548 -85.613072726082
nokomis-20160913T 36 2016-09-13T07:22:38Z 46.78626161718966 -85.61357904962567
nokomis-20160913T 37 2016-09-13T07:35:02Z 46.78851732926189 -85.61382414903098
nokomis-20160913T 38 2016-09-13T07:48:41Z 46.7910428516948 -85.61381244387691
nokomis-20160913T 39 2016-09-13T08:02:27Z 46.79306305915129 -85.61318601729153
nokomis-20160913T 40 2016-09-13T08:16:16Z 46.795294281312174 -85.61180109254384
nokomis-20160913T 41 2016-09-13T08:24:27Z 46.796621101643844 -85.61097900262962
nokomis-20160913T 42 2016-09-13T08:28:08Z 46.797218691514246 -85.61060873953251
nokomis-20160913T 43 2016-09-13T08:55:36Z 46.79869371462191 -85.60741373345121
nokomis-20160913T 44 2016-09-13T09:09:10Z 46.80104210271581 -85.60831464673149
nokomis-20160913T 45 2016-09-13T09:22:06Z 46.80336196915676 -85.60927656584809
nokomis-20160913T 46 2016-09-13T09:35:07Z 46.80569713543987 -85.61024482895517
nokomis-20160913T 47 2016-09-13T09:48:21Z 46.80806881908637 -85.61122823377445
nokomis-20160913T 48 2016-09-13T10:01:40Z 46.810458687943836 -85.61221917898561
nokomis-20160913T 49 2016-09-13T10:10:52Z 46.81210774979587 -85.61290295288394
nokomis-20160913T 50 2016-09-13T10:16:54Z 46.81318930880882 -85.61335139468007
nokomis-20160913T 51 2016-09-13T10:37:04Z 46.81575191441091 -85.61177355408233
nokomis-20160913T 52 2016-09-13T10:51:07Z 46.81830059924757 -85.61122503746239
nokomis-20160913T 53 2016-09-13T11:04:48Z 46.82076230601284 -85.61069152170401
nokomis-20160913T 54 2016-09-13T11:18:28Z 46.823222126079834 -85.61015841484213
nokomis-20160913T 55 2016-09-13T11:32:16Z 46.82570185831567 -85.60962099249636
nokomis-20160913T 56 2016-09-13T11:46:03Z 46.828182828839765 -85.60908330178138
nokomis-20160913T 57 2016-09-13T11:59:50Z 46.830661639202965 -85.60854607922934
nokomis-20160913T 58 2016-09-13T12:13:37Z 46.8331411919328 -85.60800869578719
nokomis-20160913T 59 2016-09-13T12:27:28Z 46.83563394617147 -85.60746845123536
nokomis-20160913T 60 2016-09-13T12:41:24Z 46.83814088641256 -85.60692513220859
nokomis-20160913T 61 2016-09-13T12:54:32Z 46.84050333054132 -85.60641312924024
nokomis-20160913T 62 2016-09-13T13:07:28Z 46.84283016728321 -85.60590884331697

In total, there are 62 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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