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Dataset Title:  Meteorological observations by Ecowitt Weather Station - ECOWITT003 Subscribe RSS
Institution:  INGV, AGI srl   (Dataset ID: ingv-lasomma_sensors_weather_ECOWITT003)
Information:  Summary ? | License ? | Metadata | Background (external link) | Data Access Form | Files | Make a graph

Select a subset:      (Current number of distinct combinations of matching data: 19)
Make as many selections as you want, in any order. Each selection changes the other options (and the map and data below) accordingly.

    ext_id ?  =  1 option: ECOWITT003
    cum ?  =  3 options
    wind_gust_from_direction ?  =  18 options

View:      Distinct Data Counts ?     Distinct Data ?      Related Data Counts ?     Related 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)  

ext_id cum wind_gust_from_direction
 
ECOWITT003
ECOWITT003 0.2 0
ECOWITT003 0.2 1
ECOWITT003 0.2 13
ECOWITT003 0.2 14
ECOWITT003 0.2 3
ECOWITT003 0.2 352
ECOWITT003 0.2 358
ECOWITT003 0.2 5
ECOWITT003 0.2 7
ECOWITT003 0.2 9
ECOWITT003 1.8 10
ECOWITT003 1.8 13
ECOWITT003 1.8 20
ECOWITT003 1.8 317
ECOWITT003 1.8 33
ECOWITT003 1.8 355
ECOWITT003 1.8 357
ECOWITT003 1.8 8

In total, there are 19 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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