DataQuality

warnings

warnings	Description	Example
Required: False Type: str | None Units: None	any warnings about the data that should be noted	periodic pipeline noise

good_from_period

good_from_period	Description	Example
Required: False Type: float | None Units: None	Data are good for periods larger than this number	0.01

good_to_period

good_to_period	Description	Example
Required: False Type: float | None Units: None	Data are good for periods smaller than this number	1000

flag

flag	Description	Example
Required: False Type: int | None Units: None	Flag for data quality	0

comments.author

comments.author	Description	Example
Required: False Type: str | None Units: None	person who authored the comment	Pedantic

comments.time_stamp

comments.time_stamp	Description	Example
Required: False Type: float | int | numpy.datetime64 | pa ndas._libs.tslibs.timestamps.Timest Units: None	Date and time of in UTC of when comment was made.	2020-02- 01T09:23:45.453 670+00:00

comments.value

comments.value	Description	Example
Required: False Type: str | list | None Units: None	comment string	failure at midnight.

rating.author

rating.author	Description	Example
Required: False Type: str | None Units: None	Author of who rated the data.	gradstudent ace

rating.method

rating.method	Description	Example
Required: False Type: str | None Units: None	The method used to rate the data.	standard deviation

rating.value

rating.value	Description	Example
Required: True Type: int | None | str Units: None	A rating from 1-5 where 1 is bad and 5 is good and 0 if unrated.	4