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ERDDAP > tabledap > Subset ?

Dataset Title:  FAST Eddy Sys 4 Transect 24, 150kHz kHz VMADCP Subscribe RSS
Institution:  Woods Hole Group Inc   (Dataset ID: fasteddy_20190523_20190709_sys4_150kHz_Leg_24)
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: 4160)
Make as many selections as you want, in any order. Each selection changes the other options (and the map and data below) accordingly.

    time ?  =  52 options
    longitude ?  =  degrees_east   52 options
    latitude ?  =  degrees_north   52 options
    depth ?  =  m   80 options
    u ?  =  meter second-1   2437 options
    v ?  =  meter second-1   2395 options

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)
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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)  

time longitude latitude depth u v
UTC degrees_east degrees_north m meter second-1 meter second-1
2019-06-22T03:29:47Z -88.77334103453904 27.414862741716206 11.0 1.530003 0.56828755
2019-06-22T03:29:47Z -88.77334103453904 27.414862741716206 15.0 1.4286696 0.5066209
2019-06-22T03:29:47Z -88.77334103453904 27.414862741716206 19.0 1.3593363 0.48795423
2019-06-22T03:29:47Z -88.77334103453904 27.414862741716206 23.0 1.2873362 0.51695424
2019-06-22T03:29:47Z -88.77334103453904 27.414862741716206 27.0 1.2543362 0.55428755
2019-06-22T03:29:47Z -88.77334103453904 27.414862741716206 31.0 1.2116696 0.56428754
2019-06-22T03:29:47Z -88.77334103453904 27.414862741716206 35.0 1.2046696 0.56328756
2019-06-22T03:29:47Z -88.77334103453904 27.414862741716206 39.0 1.1536696 0.55528754
2019-06-22T03:29:47Z -88.77334103453904 27.414862741716206 43.0 1.1096696 0.56328756
2019-06-22T03:29:47Z -88.77334103453904 27.414862741716206 47.0 1.0806695 0.55495423
2019-06-22T03:29:47Z -88.77334103453904 27.414862741716206 51.0 1.0866696 0.5469542
2019-06-22T03:29:47Z -88.77334103453904 27.414862741716206 55.0 1.0776695 0.5339542
2019-06-22T03:29:47Z -88.77334103453904 27.414862741716206 59.0 1.0323362 0.5166209
2019-06-22T03:29:47Z -88.77334103453904 27.414862741716206 63.0 1.0090029 0.5016209
2019-06-22T03:29:47Z -88.77334103453904 27.414862741716206 67.0 0.9793362 0.4869542
2019-06-22T03:29:47Z -88.77334103453904 27.414862741716206 71.0 0.9683362 0.4616209
2019-06-22T03:29:47Z -88.77334103453904 27.414862741716206 75.0 0.91766953 0.4409542
2019-06-22T03:29:47Z -88.77334103453904 27.414862741716206 79.0 0.8816696 0.4219542
2019-06-22T03:29:47Z -88.77334103453904 27.414862741716206 83.0 0.84266955 0.41028756
2019-06-22T03:29:47Z -88.77334103453904 27.414862741716206 87.0 0.80966955 0.40028757
2019-06-22T03:29:47Z -88.77334103453904 27.414862741716206 91.0 0.77733624 0.38195422
2019-06-22T03:29:47Z -88.77334103453904 27.414862741716206 95.0 0.7240029 0.39395422
2019-06-22T03:29:47Z -88.77334103453904 27.414862741716206 99.0 0.68066955 0.3836209
2019-06-22T03:29:47Z -88.77334103453904 27.414862741716206 103.0 0.6636696 0.40062088
2019-06-22T03:29:47Z -88.77334103453904 27.414862741716206 107.0 0.6773362 0.37695423
2019-06-22T03:29:47Z -88.77334103453904 27.414862741716206 111.0 0.68833625 0.36562088
2019-06-22T03:29:47Z -88.77334103453904 27.414862741716206 115.0 0.6780029 0.33828756
2019-06-22T03:29:47Z -88.77334103453904 27.414862741716206 119.0 0.67033625 0.35395423
2019-06-22T03:29:47Z -88.77334103453904 27.414862741716206 123.0 0.6530029 0.36328757
2019-06-22T03:29:47Z -88.77334103453904 27.414862741716206 127.0 0.65566957 0.34995422
2019-06-22T03:29:47Z -88.77334103453904 27.414862741716206 131.0 0.6686696 0.3459542
2019-06-22T03:29:47Z -88.77334103453904 27.414862741716206 135.0 0.6580029 0.3226209
2019-06-22T03:29:47Z -88.77334103453904 27.414862741716206 139.0 0.6460029 0.30595422
2019-06-22T03:29:47Z -88.77334103453904 27.414862741716206 143.0 0.63433623 0.2536209
2019-06-22T03:29:47Z -88.77334103453904 27.414862741716206 147.0 0.6463362 0.23595423
2019-06-22T03:29:47Z -88.77334103453904 27.414862741716206 151.0 0.6380029 0.22262089
2019-06-22T03:29:47Z -88.77334103453904 27.414862741716206 155.0 0.6266696 0.23295422
2019-06-22T03:29:47Z -88.77334103453904 27.414862741716206 159.0 0.61666954 0.23595423
2019-06-22T03:29:47Z -88.77334103453904 27.414862741716206 163.0 0.6276696 0.19895422
2019-06-22T03:29:47Z -88.77334103453904 27.414862741716206 167.0 0.61666954 0.16462089
2019-06-22T03:29:47Z -88.77334103453904 27.414862741716206 171.0 0.59133625 0.13362089
2019-06-22T03:29:47Z -88.77334103453904 27.414862741716206 175.0 0.54933625 0.18262088
2019-06-22T03:29:47Z -88.77334103453904 27.414862741716206 179.0 0.5120029 0.20862089
2019-06-22T03:29:47Z -88.77334103453904 27.414862741716206 183.0 0.49466956 0.23462088
2019-06-22T03:29:47Z -88.77334103453904 27.414862741716206 187.0 0.49266955 0.20595422
2019-06-22T03:29:47Z -88.77334103453904 27.414862741716206 191.0 0.5106696 0.20495422
2019-06-22T03:29:47Z -88.77334103453904 27.414862741716206 195.0 0.53166956 0.22362089
2019-06-22T03:29:47Z -88.77334103453904 27.414862741716206 199.0 0.5423362 0.24928756
2019-06-22T03:29:47Z -88.77334103453904 27.414862741716206 203.0
2019-06-22T03:29:47Z -88.77334103453904 27.414862741716206 207.0
2019-06-22T03:29:47Z -88.77334103453904 27.414862741716206 211.0
2019-06-22T03:29:47Z -88.77334103453904 27.414862741716206 215.0
2019-06-22T03:29:47Z -88.77334103453904 27.414862741716206 219.0
2019-06-22T03:29:47Z -88.77334103453904 27.414862741716206 223.0
2019-06-22T03:29:47Z -88.77334103453904 27.414862741716206 227.0
2019-06-22T03:29:47Z -88.77334103453904 27.414862741716206 231.0
2019-06-22T03:29:47Z -88.77334103453904 27.414862741716206 235.0
2019-06-22T03:29:47Z -88.77334103453904 27.414862741716206 239.0
2019-06-22T03:29:47Z -88.77334103453904 27.414862741716206 243.0
2019-06-22T03:29:47Z -88.77334103453904 27.414862741716206 247.0
2019-06-22T03:29:47Z -88.77334103453904 27.414862741716206 251.0
2019-06-22T03:29:47Z -88.77334103453904 27.414862741716206 255.0
2019-06-22T03:29:47Z -88.77334103453904 27.414862741716206 259.0
2019-06-22T03:29:47Z -88.77334103453904 27.414862741716206 263.0
2019-06-22T03:29:47Z -88.77334103453904 27.414862741716206 267.0
2019-06-22T03:29:47Z -88.77334103453904 27.414862741716206 271.0
2019-06-22T03:29:47Z -88.77334103453904 27.414862741716206 275.0
2019-06-22T03:29:47Z -88.77334103453904 27.414862741716206 279.0
2019-06-22T03:29:47Z -88.77334103453904 27.414862741716206 283.0
2019-06-22T03:29:47Z -88.77334103453904 27.414862741716206 287.0
2019-06-22T03:29:47Z -88.77334103453904 27.414862741716206 291.0
2019-06-22T03:29:47Z -88.77334103453904 27.414862741716206 295.0
2019-06-22T03:29:47Z -88.77334103453904 27.414862741716206 299.0
2019-06-22T03:29:47Z -88.77334103453904 27.414862741716206 303.0
2019-06-22T03:29:47Z -88.77334103453904 27.414862741716206 307.0
2019-06-22T03:29:47Z -88.77334103453904 27.414862741716206 311.0
2019-06-22T03:29:47Z -88.77334103453904 27.414862741716206 315.0
2019-06-22T03:29:47Z -88.77334103453904 27.414862741716206 319.0
2019-06-22T03:29:47Z -88.77334103453904 27.414862741716206 323.0
2019-06-22T03:29:47Z -88.77334103453904 27.414862741716206 327.0
2019-06-22T03:34:45Z -88.76782645471394 27.425437476485968 11.0 1.5918419 0.5571736
2019-06-22T03:34:45Z -88.76782645471394 27.425437476485968 15.0 1.4245086 0.52784026
2019-06-22T03:34:45Z -88.76782645471394 27.425437476485968 19.0 1.3105086 0.4841736
2019-06-22T03:34:45Z -88.76782645471394 27.425437476485968 23.0 1.2661753 0.49350694
2019-06-22T03:34:45Z -88.76782645471394 27.425437476485968 27.0 1.2368419 0.5121736
2019-06-22T03:34:45Z -88.76782645471394 27.425437476485968 31.0 1.214842 0.5291736
2019-06-22T03:34:45Z -88.76782645471394 27.425437476485968 35.0 1.1935086 0.51750696
2019-06-22T03:34:45Z -88.76782645471394 27.425437476485968 39.0 1.1701753 0.5438403
2019-06-22T03:34:45Z -88.76782645471394 27.425437476485968 43.0 1.1635087 0.5808403
2019-06-22T03:34:45Z -88.76782645471394 27.425437476485968 47.0 1.1391753 0.5911736
2019-06-22T03:34:45Z -88.76782645471394 27.425437476485968 51.0 1.1105086 0.5441736
2019-06-22T03:34:45Z -88.76782645471394 27.425437476485968 55.0 1.0545086 0.5028403
2019-06-22T03:34:45Z -88.76782645471394 27.425437476485968 59.0 1.0245086 0.49684027
2019-06-22T03:34:45Z -88.76782645471394 27.425437476485968 63.0 0.98917526 0.48384026
2019-06-22T03:34:45Z -88.76782645471394 27.425437476485968 67.0 0.96484196 0.4841736
2019-06-22T03:34:45Z -88.76782645471394 27.425437476485968 71.0 0.9425086 0.4581736
2019-06-22T03:34:45Z -88.76782645471394 27.425437476485968 75.0 0.9355086 0.44184026
2019-06-22T03:34:45Z -88.76782645471394 27.425437476485968 79.0 0.9178419 0.41750693
2019-06-22T03:34:45Z -88.76782645471394 27.425437476485968 83.0 0.8618419 0.37850693
2019-06-22T03:34:45Z -88.76782645471394 27.425437476485968 87.0 0.80417526 0.3761736
2019-06-22T03:34:45Z -88.76782645471394 27.425437476485968 91.0 0.7415086 0.36350694
2019-06-22T03:34:45Z -88.76782645471394 27.425437476485968 95.0 0.6811753 0.39150694
2019-06-22T03:34:45Z -88.76782645471394 27.425437476485968 99.0 0.64217526 0.37284026
2019-06-22T03:34:45Z -88.76782645471394 27.425437476485968 103.0 0.64284194 0.3311736
2019-06-22T03:34:45Z -88.76782645471394 27.425437476485968 107.0 0.6728419 0.2851736
2019-06-22T03:34:45Z -88.76782645471394 27.425437476485968 111.0 0.7051753 0.2611736
2019-06-22T03:34:45Z -88.76782645471394 27.425437476485968 115.0 0.71150863 0.27850693
2019-06-22T03:34:45Z -88.76782645471394 27.425437476485968 119.0 0.7045086 0.28184026
2019-06-22T03:34:45Z -88.76782645471394 27.425437476485968 123.0 0.6735086 0.29350692
2019-06-22T03:34:45Z -88.76782645471394 27.425437476485968 127.0 0.6575086 0.30150694
2019-06-22T03:34:45Z -88.76782645471394 27.425437476485968 131.0 0.6425086 0.29550692
2019-06-22T03:34:45Z -88.76782645471394 27.425437476485968 135.0 0.6565086 0.2881736
2019-06-22T03:34:45Z -88.76782645471394 27.425437476485968 139.0 0.66517526 0.28150693
2019-06-22T03:34:45Z -88.76782645471394 27.425437476485968 143.0 0.66984195 0.28550693
2019-06-22T03:34:45Z -88.76782645471394 27.425437476485968 147.0 0.6731753 0.28450692
2019-06-22T03:34:45Z -88.76782645471394 27.425437476485968 151.0 0.66084194 0.2751736
2019-06-22T03:34:45Z -88.76782645471394 27.425437476485968 155.0 0.6488419 0.25084028
2019-06-22T03:34:45Z -88.76782645471394 27.425437476485968 159.0 0.6335086 0.2221736
2019-06-22T03:34:45Z -88.76782645471394 27.425437476485968 163.0 0.61784196 0.20917359
2019-06-22T03:34:45Z -88.76782645471394 27.425437476485968 167.0 0.61084193 0.18784027
2019-06-22T03:34:45Z -88.76782645471394 27.425437476485968 171.0 0.58117527 0.18017359
2019-06-22T03:34:45Z -88.76782645471394 27.425437476485968 175.0 0.54117525 0.1741736
2019-06-22T03:34:45Z -88.76782645471394 27.425437476485968 179.0 0.5015086 0.17250693
2019-06-22T03:34:45Z -88.76782645471394 27.425437476485968 183.0 0.4785086 0.1811736
2019-06-22T03:34:45Z -88.76782645471394 27.425437476485968 187.0 0.5048419 0.18850693
2019-06-22T03:34:45Z -88.76782645471394 27.425437476485968 191.0 0.5471753 0.2151736
2019-06-22T03:34:45Z -88.76782645471394 27.425437476485968 195.0 0.57184196 0.23550694
2019-06-22T03:34:45Z -88.76782645471394 27.425437476485968 199.0 0.5651753 0.23584026
2019-06-22T03:34:45Z -88.76782645471394 27.425437476485968 203.0
2019-06-22T03:34:45Z -88.76782645471394 27.425437476485968 207.0
2019-06-22T03:34:45Z -88.76782645471394 27.425437476485968 211.0
2019-06-22T03:34:45Z -88.76782645471394 27.425437476485968 215.0
2019-06-22T03:34:45Z -88.76782645471394 27.425437476485968 219.0
2019-06-22T03:34:45Z -88.76782645471394 27.425437476485968 223.0
2019-06-22T03:34:45Z -88.76782645471394 27.425437476485968 227.0
2019-06-22T03:34:45Z -88.76782645471394 27.425437476485968 231.0
2019-06-22T03:34:45Z -88.76782645471394 27.425437476485968 235.0
2019-06-22T03:34:45Z -88.76782645471394 27.425437476485968 239.0
2019-06-22T03:34:45Z -88.76782645471394 27.425437476485968 243.0
2019-06-22T03:34:45Z -88.76782645471394 27.425437476485968 247.0
2019-06-22T03:34:45Z -88.76782645471394 27.425437476485968 251.0
2019-06-22T03:34:45Z -88.76782645471394 27.425437476485968 255.0
2019-06-22T03:34:45Z -88.76782645471394 27.425437476485968 259.0
2019-06-22T03:34:45Z -88.76782645471394 27.425437476485968 263.0
2019-06-22T03:34:45Z -88.76782645471394 27.425437476485968 267.0
2019-06-22T03:34:45Z -88.76782645471394 27.425437476485968 271.0
2019-06-22T03:34:45Z -88.76782645471394 27.425437476485968 275.0
2019-06-22T03:34:45Z -88.76782645471394 27.425437476485968 279.0
2019-06-22T03:34:45Z -88.76782645471394 27.425437476485968 283.0
2019-06-22T03:34:45Z -88.76782645471394 27.425437476485968 287.0
2019-06-22T03:34:45Z -88.76782645471394 27.425437476485968 291.0
2019-06-22T03:34:45Z -88.76782645471394 27.425437476485968 295.0
2019-06-22T03:34:45Z -88.76782645471394 27.425437476485968 299.0
2019-06-22T03:34:45Z -88.76782645471394 27.425437476485968 303.0
2019-06-22T03:34:45Z -88.76782645471394 27.425437476485968 307.0
2019-06-22T03:34:45Z -88.76782645471394 27.425437476485968 311.0
2019-06-22T03:34:45Z -88.76782645471394 27.425437476485968 315.0
2019-06-22T03:34:45Z -88.76782645471394 27.425437476485968 319.0
2019-06-22T03:34:45Z -88.76782645471394 27.425437476485968 323.0
2019-06-22T03:34:45Z -88.76782645471394 27.425437476485968 327.0
2019-06-22T03:39:44Z -88.76221514772624 27.436048462986946 11.0 1.4943635 0.5630825
2019-06-22T03:39:44Z -88.76221514772624 27.436048462986946 15.0 1.4223635 0.5600825
2019-06-22T03:39:44Z -88.76221514772624 27.436048462986946 19.0 1.3366969 0.56941587
2019-06-22T03:39:44Z -88.76221514772624 27.436048462986946 23.0 1.2536968 0.55208254
2019-06-22T03:39:44Z -88.76221514772624 27.436048462986946 27.0 1.2183635 0.5217492
2019-06-22T03:39:44Z -88.76221514772624 27.436048462986946 31.0 1.2020302 0.47474918
2019-06-22T03:39:44Z -88.76221514772624 27.436048462986946 35.0 1.1870302 0.47974917
2019-06-22T03:39:44Z -88.76221514772624 27.436048462986946 39.0 1.1670302 0.4870825
2019-06-22T03:39:44Z -88.76221514772624 27.436048462986946 43.0 1.1060302 0.4970825
2019-06-22T03:39:44Z -88.76221514772624 27.436048462986946 47.0 1.0493635 0.4660825
2019-06-22T03:39:44Z -88.76221514772624 27.436048462986946 51.0 1.0270302 0.48641583
2019-06-22T03:39:44Z -88.76221514772624 27.436048462986946 55.0 1.0163635 0.4800825
2019-06-22T03:39:44Z -88.76221514772624 27.436048462986946 59.0 1.0156969 0.4990825
2019-06-22T03:39:44Z -88.76221514772624 27.436048462986946 63.0 1.0050302 0.4960825
2019-06-22T03:39:44Z -88.76221514772624 27.436048462986946 67.0 0.9836969 0.50741583
2019-06-22T03:39:44Z -88.76221514772624 27.436048462986946 71.0 0.9563635 0.49174917
2019-06-22T03:39:44Z -88.76221514772624 27.436048462986946 75.0 0.91269684 0.41874918
2019-06-22T03:39:44Z -88.76221514772624 27.436048462986946 79.0 0.89836353 0.38841584
2019-06-22T03:39:44Z -88.76221514772624 27.436048462986946 83.0 0.8403635 0.36674917
2019-06-22T03:39:44Z -88.76221514772624 27.436048462986946 87.0 0.7613635 0.37774917
2019-06-22T03:39:44Z -88.76221514772624 27.436048462986946 91.0 0.7146969 0.3490825
2019-06-22T03:39:44Z -88.76221514772624 27.436048462986946 95.0 0.68169683 0.33641586
2019-06-22T03:39:44Z -88.76221514772624 27.436048462986946 99.0 0.6866968 0.3420825
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2019-06-22T04:29:45Z -88.70602940674871 27.534030061215162 79.0 0.9327243 0.26223454
2019-06-22T04:29:45Z -88.70602940674871 27.534030061215162 83.0 0.91205764 0.24056788
2019-06-22T04:29:45Z -88.70602940674871 27.534030061215162 87.0 0.85139096 0.2359012
2019-06-22T04:29:45Z -88.70602940674871 27.534030061215162 91.0 0.8020576 0.23423454
2019-06-22T04:29:45Z -88.70602940674871 27.534030061215162 95.0 0.761391 0.2525679
2019-06-22T04:29:45Z -88.70602940674871 27.534030061215162 99.0 0.7317243 0.27390122
2019-06-22T04:29:45Z -88.70602940674871 27.534030061215162 103.0 0.73905766 0.26356786
2019-06-22T04:29:45Z -88.70602940674871 27.534030061215162 107.0 0.74039096 0.24456787
2019-06-22T04:29:45Z -88.70602940674871 27.534030061215162 111.0 0.72639096 0.18590121
2019-06-22T04:29:45Z -88.70602940674871 27.534030061215162 115.0 0.660391 0.17456788
2019-06-22T04:29:45Z -88.70602940674871 27.534030061215162 119.0 0.56505764 0.17290121
2019-06-22T04:29:45Z -88.70602940674871 27.534030061215162 123.0 0.5087243 0.17156787
2019-06-22T04:29:45Z -88.70602940674871 27.534030061215162 127.0 0.49839097 0.13856788
2019-06-22T04:29:45Z -88.70602940674871 27.534030061215162 131.0 0.50305766 0.12123454
2019-06-22T04:29:45Z -88.70602940674871 27.534030061215162 135.0 0.48539096 0.12423454
2019-06-22T04:29:45Z -88.70602940674871 27.534030061215162 139.0 0.44905764 0.13123454
2019-06-22T04:29:45Z -88.70602940674871 27.534030061215162 143.0 0.44639096 0.12123454
2019-06-22T04:29:45Z -88.70602940674871 27.534030061215162 147.0 0.46039096 0.14323455
2019-06-22T04:29:45Z -88.70602940674871 27.534030061215162 151.0 0.4677243 0.14556788
2019-06-22T04:29:45Z -88.70602940674871 27.534030061215162 155.0 0.46439096 0.14856787
2019-06-22T04:29:45Z -88.70602940674871 27.534030061215162 159.0 0.45239097 0.13823454
2019-06-22T04:29:45Z -88.70602940674871 27.534030061215162 163.0 0.44039097 0.13456787
2019-06-22T04:29:45Z -88.70602940674871 27.534030061215162 167.0 0.4257243 0.12890121

In total, there are 4160 rows of distinct combinations of the variables listed above.
The first 1000 rows are shown above. The remaining 3160 rows aren't being shown.
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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