ERDDAP > tabledap > Subset

Dataset Title:	Moorings 2018_2 (Standard Meteorological Data)
Institution:	NOAA NDBC   (Dataset ID: moorings_2018_smd_v2)
Information:	Summary | License | FGDC | ISO 19115 | Metadata | Background | Data Access Form | Files | Make a graph

Select a subset:      (Current number of distinct combinations of matching data: 50)
Make as many selections as you want, in any order. Each selection changes the other options (and the map and data below) accordingly.

station_id	= (ANY) 45001 45002 45003 45004 45005 45006 45007 45008 45012 45013 45014 45020 45022 45023 45024 45025 45026 45027 45028 45029 45161 45162 45163 45164 45165 45166 45167 45168 45169 45170 45172 45173 45174 45175 45176 45177 45178 45180 45183 45186 45187 46001 46002 46005 46006 46011 46012 46013 46014 46015	50 options
latitude	= (ANY) 34.956 37.356 38.235 39.228 40.764 41.55 41.615 41.677 41.702 41.732 41.755 41.894 41.982 42.135 42.185 42.368 42.397 42.491 42.662 42.674 42.752 42.9 43.1 43.182 43.621 43.981 43.985 44.283 44.603 44.785 44.789 44.795 44.982 44.988 45.344 45.351 45.405 45.825 46.134 46.573 46.74 46.814 46.86 46.969 47.27 47.335 47.585 48.034 48.061 56.232  degrees_north	50 options
longitude	= (ANY) -147.979 -137.377 -131.079 -130.507 -124.844 -123.972 -123.317 -122.881 -121.019 -91.93 -91.829 -89.793 -88.607 -88.398 -87.85 -87.795 -87.793 -87.779 -87.759 -87.73 -87.655 -87.613 -87.026 -86.968 -86.619 -86.585 -86.572 -86.556 -86.411 -86.36 -86.331 -86.272 -85.98 -85.831 -85.604 -85.087 -84.772 -83.596 -83.27 -83.261 -82.84 -82.416 -82.398 -81.821 -81.765 -81.694 -80.135 -77.401 -73.394 -73.258  degrees_east	50 options
VIS	= (ANY)  nmi	1 option:
TIDE	= (ANY)  m	1 option:

View:      Map of Distinct Data      Distinct Data Counts     Distinct Data  0 10 100 1000 10000 100000      Related Data Counts     Related Data  0 10 100 1000 10000 100000

 

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

 

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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.
 

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Distinct Data   (Metadata)    (Refine the data subset and/or download the data)  

station_id	latitude	longitude	VIS	TIDE
	degrees_north	degrees_east	nmi	m
45001	48.061	-87.793
45002	45.344	-86.411
45003	45.351	-82.84
45004	47.585	-86.585
45005	41.677	-82.398
45006	47.335	-89.793
45007	42.674	-87.026
45008	44.283	-82.416
45012	43.621	-77.401
45013	43.1	-87.85
45014	44.795	-87.759
45020	44.789	-85.604
45022	45.405	-85.087
45023	47.27	-88.607
45024	43.981	-86.556
45025	46.969	-88.398
45026	41.982	-86.619
45027	46.86	-91.93
45028	46.814	-91.829
45029	42.9	-86.272
45161	43.182	-86.36
45162	44.988	-83.27
45163	43.985	-83.596
45164	41.732	-81.694
45165	41.702	-83.261
45166	44.785	-73.258
45167	42.185	-80.135
45168	42.397	-86.331
45169	41.615	-81.821
45170	41.755	-86.968
45172	46.74	-85.98
45173	46.573	-86.572
45174	42.135	-87.655
45175	45.825	-84.772
45176	41.55	-81.765
45177	41.894	-87.613
45178	44.603	-73.394
45180	48.034	-87.73
45183	44.982	-85.831
45186	42.368	-87.795
45187	42.491	-87.779
46001	56.232	-147.979
46002	42.662	-130.507
46005	46.134	-131.079
46006	40.764	-137.377
46011	34.956	-121.019
46012	37.356	-122.881
46013	38.235	-123.317
46014	39.228	-123.972
46015	42.752	-124.844

In total, there are 50 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.
 

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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.
 

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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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