Obtain the data from RData

Read data by a bounds of longitude and latitude

Users can give a bounds of longitude and latitude to read the station data.

[1]:

import obsaq

lon_min = -1
lon_max = 2
lat_min = 50
lat_max = 55
bounds=[lon_min, lon_max, lat_min, lat_max]

NOTE: This is the all station information and the next step will choose the stations by bounds.

[2]:

meta = obsaq.meta()
site_table = meta.get_metadata_RData()

site_table.head(5)

[2]:

	site_id	site_name	location_type	latitude	longitude	parameter	Parameter_name	start_date	end_date	ratified_to	zone	agglomeration	local_authority
0	ABD	Aberdeen	Urban Background	57.15736	-2.094278	O3	Ozone	2003-08-01	2021-09-20	2021-09-20	North East Scotland	NaN	Aberdeen City
1	ABD	Aberdeen	Urban Background	57.15736	-2.094278	NO	Nitric oxide	1999-09-18	2021-09-20	2021-09-20	North East Scotland	NaN	Aberdeen City
2	ABD	Aberdeen	Urban Background	57.15736	-2.094278	NO2	Nitrogen dioxide	1999-09-18	2021-09-20	2021-09-20	North East Scotland	NaN	Aberdeen City
3	ABD	Aberdeen	Urban Background	57.15736	-2.094278	NOXasNO2	Nitrogen oxides as nitrogen dioxide	1999-09-18	2021-09-20	2021-09-20	North East Scotland	NaN	Aberdeen City
4	ABD	Aberdeen	Urban Background	57.15736	-2.094278	SO2	Sulphur dioxide	2001-01-01	2007-09-30	2007-09-30	North East Scotland	NaN	Aberdeen City

[3]:

final_sites = meta.get_site(bounds=bounds)
final_sites.head(5)

Site is selected by bounds: [-1, 2, 50, 55]

[3]:

	site_id	site_name	location_type	latitude	longitude	parameter	Parameter_name	start_date	end_date	ratified_to	zone	agglomeration	local_authority
93	AYLA	Aylesbury A4157	Urban Traffic	51.822161	-0.793884	PM2.5	PM2.5 particulate matter (Hourly measured)	2025-08-11	ongoing	2025-09-30	South East	NaN	Aylesbury Vale
94	AYLA	Aylesbury A4157	Urban Traffic	51.822161	-0.793884	wd	Modelled Wind Direction	2025-08-11	ongoing	Never	South East	NaN	Aylesbury Vale
95	AYLA	Aylesbury A4157	Urban Traffic	51.822161	-0.793884	ws	Modelled Wind Speed	2025-08-11	ongoing	Never	South East	NaN	Aylesbury Vale
96	AYLA	Aylesbury A4157	Urban Traffic	51.822161	-0.793884	temp	Modelled Temperature	2025-08-11	ongoing	Never	South East	NaN	Aylesbury Vale
386	BDMP	Borehamwood Meadow Park	Urban Background	51.661229	-0.270550	NO	Nitric oxide	2017-10-01	ongoing	2025-09-30	Eastern	NaN	Hertsmere

[4]:

import obsaq

meta = obsaq.meta()
site_table = meta.get_metadata_RData()

site_table.head(5)

[4]:

	site_id	site_name	location_type	latitude	longitude	parameter	Parameter_name	start_date	end_date	ratified_to	zone	agglomeration	local_authority
0	ABD	Aberdeen	Urban Background	57.15736	-2.094278	O3	Ozone	2003-08-01	2021-09-20	2021-09-20	North East Scotland	NaN	Aberdeen City
1	ABD	Aberdeen	Urban Background	57.15736	-2.094278	NO	Nitric oxide	1999-09-18	2021-09-20	2021-09-20	North East Scotland	NaN	Aberdeen City
2	ABD	Aberdeen	Urban Background	57.15736	-2.094278	NO2	Nitrogen dioxide	1999-09-18	2021-09-20	2021-09-20	North East Scotland	NaN	Aberdeen City
3	ABD	Aberdeen	Urban Background	57.15736	-2.094278	NOXasNO2	Nitrogen oxides as nitrogen dioxide	1999-09-18	2021-09-20	2021-09-20	North East Scotland	NaN	Aberdeen City
4	ABD	Aberdeen	Urban Background	57.15736	-2.094278	SO2	Sulphur dioxide	2001-01-01	2007-09-30	2007-09-30	North East Scotland	NaN	Aberdeen City

[5]:

final_sites = meta.get_site(site_id='LH')
final_sites.drop_duplicates(subset='site_id')

Site is selected by site_id: LH

[5]:

	site_id	site_name	location_type	latitude	longitude	parameter	Parameter_name	start_date	end_date	ratified_to	zone	agglomeration	local_authority
1949	LH	Lullington Heath	Rural Background	50.7937	0.18125	O3	Ozone	1986-10-04	ongoing	2025-09-30	South East	NaN	Wealden