Example

List available datasets

using SWCExampleDatasets
SWCExampleDatasets.datasets()

1×9 DataFrame

Row	PackageName	Dataset	Title	Rows	Columns	Description	TimeStamp	RawData	ZippedData
	String15	String31	String	Int64	Int64	Missing	Date	String31	String
1	NCUWiseLab	ARI_G2F820_example	Data [ARI_G2F820_example] of [NCUWiseLab]	2547	19	missing	2023-03-30	data/raw/ARI_G2F820_example.csv	data/NCUWiseLab/ARI_G2F820_example.gz

which is equivalent to:

using SWCExampleDatasets, SmallDatasetMaker
SmallDatasetMaker.datasets(SWCExampleDatasets)

1×9 DataFrame

Row	PackageName	Dataset	Title	Rows	Columns	Description	TimeStamp	RawData	ZippedData
	String15	String31	String	Int64	Int64	Missing	Date	String31	String
1	NCUWiseLab	ARI_G2F820_example	Data [ARI_G2F820_example] of [NCUWiseLab]	2547	19	missing	2023-03-30	data/raw/ARI_G2F820_example.csv	data/NCUWiseLab/ARI_G2F820_example.gz

Or, alternatively,

SWCExampleDatasets.__datasets

1×9 DataFrame

Row	PackageName	Dataset	Title	Rows	Columns	Description	TimeStamp	RawData	ZippedData
	String15	String31	String	Int64	Int64	Missing	Date	String31	String
1	NCUWiseLab	ARI_G2F820_example	Data [ARI_G2F820_example] of [NCUWiseLab]	2547	19	missing	2023-03-30	data/raw/ARI_G2F820_example.csv	data/NCUWiseLab/ARI_G2F820_example.gz

df = SWCExampleDatasets.dataset("NCUWiseLab", "ARI_G2F820_example")
df[1:5, :]

5×19 DataFrame

Row	year	month	day	hour	soil_water_content_10cm	soil_water_content_20cm	soil_water_content_30cm	soil_water_content_50cm	soil_water_content_100cm	pressure_G2F820	air_temperature_G2F820	humidity_G2F820	windspeed_avg_G2F820	windspeed_max_G2F820	solar_hours_G2F820	solar_radiation_MJm-2_G2F820	precipitation_G2F820	precipitation	precipitation_max
	Int64	Int64	Int64	Int64	Float64	Float64	Float64	Float64	Float64	Float64	Float64	Int64	Float64	Float64	Float64	Float64	Float64	Float64	Float64
1	2022	1	1	0	NaN	NaN	NaN	NaN	NaN	1016.1	14.1	96	1.3	2.4	0.0	0.0	0.0	NaN	0.0
2	2022	1	1	1	NaN	NaN	NaN	NaN	NaN	1016.2	13.7	97	0.8	3.0	0.0	0.0	0.0	NaN	0.0
3	2022	1	1	2	NaN	NaN	NaN	NaN	NaN	1015.7	13.8	99	2.1	2.5	0.0	0.0	0.0	NaN	0.0
4	2022	1	1	3	NaN	NaN	NaN	NaN	NaN	1015.9	13.8	98	0.8	3.4	0.0	0.0	0.0	NaN	0.0
5	2022	1	1	4	NaN	NaN	NaN	NaN	NaN	1015.7	13.9	99	0.3	1.2	0.0	0.0	0.0	NaN	0.0

which is equivalent to:

df = SmallDatasetMaker.dataset(SWCExampleDatasets, "NCUWiseLab", "ARI_G2F820_example")
df[1:5, :]

5×19 DataFrame

Row	year	month	day	hour	soil_water_content_10cm	soil_water_content_20cm	soil_water_content_30cm	soil_water_content_50cm	soil_water_content_100cm	pressure_G2F820	air_temperature_G2F820	humidity_G2F820	windspeed_avg_G2F820	windspeed_max_G2F820	solar_hours_G2F820	solar_radiation_MJm-2_G2F820	precipitation_G2F820	precipitation	precipitation_max
	Int64	Int64	Int64	Int64	Float64	Float64	Float64	Float64	Float64	Float64	Float64	Int64	Float64	Float64	Float64	Float64	Float64	Float64	Float64
1	2022	1	1	0	NaN	NaN	NaN	NaN	NaN	1016.1	14.1	96	1.3	2.4	0.0	0.0	0.0	NaN	0.0
2	2022	1	1	1	NaN	NaN	NaN	NaN	NaN	1016.2	13.7	97	0.8	3.0	0.0	0.0	0.0	NaN	0.0
3	2022	1	1	2	NaN	NaN	NaN	NaN	NaN	1015.7	13.8	99	2.1	2.5	0.0	0.0	0.0	NaN	0.0
4	2022	1	1	3	NaN	NaN	NaN	NaN	NaN	1015.9	13.8	98	0.8	3.4	0.0	0.0	0.0	NaN	0.0
5	2022	1	1	4	NaN	NaN	NaN	NaN	NaN	1015.7	13.9	99	0.3	1.2	0.0	0.0	0.0	NaN	0.0