ERDDAP > tabledap > Subset

Dataset Title:	NOS CO-OPS Tide Prediction, 6-minute
Institution:	NOAA NOS CO-OPS   (Dataset ID: nosCoopsWLTP6)
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: 22)
Make as many selections as you want, in any order. Each selection changes the other options (and the map and data below) accordingly.

stationID	= (ANY) 8410140 8411060 8413320 8415709 8416731 8417227 8418150 8419317 8419870 8441841 8443970 8445138 8447386 8447435 8447636 8447930 8449130 8452660 8454000 8461490 8465705 8516945	22 options
stationName	= (ANY) Bar Harbor Bath Boston Chatham Cutler Farris Wharf Eastport Fall River GLOUCESTER HARBOR Kings Point Nantucket Island New Bedford Harbor New Haven New London Newport Portland Providence SCITUATE, SCITUATE HARBOR Seavey Island Thomaston WALPOLE, DAMARISCOTTA RIVER Wells Woods Hole	22 options
state	= (ANY) CT MA ME NY RI	6 options
shefID	= (ANY) ATGM1 BHBM3 BZBM3 CASM1 CFWM1 CHTM3 FOXR1 FRVM3 KPTN6 NBFM3 NLHC3 NTKM3 NWHC3 NWPR1 PSBM1 SEIM1	17 options
longitude	= (ANY) -73.7649 -72.908333 -72.095556 -71.400667 -71.326139 -71.164101 -71.05028 -70.913611 -70.741 -70.7267 -70.671112 -70.66 -70.563301 -70.24417 -70.096703 -69.9511 -69.815 -69.58 -69.1817 -68.204278 -67.209999 -66.982903  degrees_east	22 options
latitude	= (ANY) 40.810299 41.283333 41.285 41.371667 41.504333 41.523613 41.621111 41.688499 41.7043 41.807167 42.2017 42.3539 42.61 43.07972 43.32 43.65806 43.925 43.9333 44.0717 44.392194 44.6567 44.904598  degrees_north	22 options
datum	= (ANY) MLLW	1 option: MLLW

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)  

stationID	stationName	state	shefID	longitude	latitude	datum
				degrees_east	degrees_north
8410140	Eastport	ME	PSBM1	-66.982903	44.904598	MLLW
8411060	Cutler Farris Wharf	ME	CFWM1	-67.209999	44.6567	MLLW
8413320	Bar Harbor	ME	ATGM1	-68.204278	44.392194	MLLW
8415709	Thomaston	ME		-69.1817	44.0717	MLLW
8416731	WALPOLE, DAMARISCOTTA RIVER	ME		-69.58	43.9333	MLLW
8417227	Bath	ME		-69.815	43.925	MLLW
8418150	Portland	ME	CASM1	-70.24417	43.65806	MLLW
8419317	Wells	ME		-70.563301	43.32	MLLW
8419870	Seavey Island	ME	SEIM1	-70.741	43.07972	MLLW
8441841	GLOUCESTER HARBOR	MA		-70.66	42.61	MLLW
8443970	Boston	MA	BHBM3	-71.05028	42.3539	MLLW
8445138	SCITUATE, SCITUATE HARBOR	MA		-70.7267	42.2017	MLLW
8447386	Fall River	MA	FRVM3	-71.164101	41.7043	MLLW
8447435	Chatham	MA	CHTM3	-69.9511	41.688499	MLLW
8447636	New Bedford Harbor		NBFM3	-70.913611	41.621111	MLLW
8447930	Woods Hole	MA	BZBM3	-70.671112	41.523613	MLLW
8449130	Nantucket Island	MA	NTKM3	-70.096703	41.285	MLLW
8452660	Newport	RI	NWPR1	-71.326139	41.504333	MLLW
8454000	Providence	RI	FOXR1	-71.400667	41.807167	MLLW
8461490	New London	CT	NLHC3	-72.095556	41.371667	MLLW
8465705	New Haven	CT	NWHC3	-72.908333	41.283333	MLLW
8516945	Kings Point	NY	KPTN6	-73.7649	40.810299	MLLW

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.
 

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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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