wovodat 0.0.4

Unofficial WOVOdat python package. WOVOdat is a comprehensive global database on volcanic unrest.

WOVOdat

Unofficial python package for World Organization of Volcano Observatories (WOVO) database (WOVOdat).

WOVOdat is a comprehensive global database on volcanic unrest aimed at understanding pre-eruptive processes and improving eruption forecasts. WOVOdat is brought to you by WOVO (World Organization of Volcano Observatories) and presently hosted at the Earth Observatory of Singapore.

A lack of standardization in data formats and database architectures has made it nearly impossible to do comparative studies of volcanic unrest, or to search data for analogues to any current unrest. WOVOdat fills this gap by translating and compiling this myriad of data into common formats with the goal to make them freely web-accessible, for reference during volcanic crises, comparative studies, and basic research on pre-eruptive processes.

Using WOVOdat, scientists wishing to study how volcanoes prepare to erupt will be able to find a wealth of historical data at their fingertips. Scientists needing to forecast the outcome of a fresh volcanic crisis will be able to search for analogues, find the past outcomes, and estimate (changing) probabilities of how the fresh unrest will evolve.

WOVOdat Homepage: https://wovodat.org/

1. How to install

Make sure you have python >=3.10. You can install the package using pip:

pip install wovodat

2. How to use

You can check examples directory how to use the WOVOdat package using jupyter notebook.

2.1 Import the module

Import the WOVOdat module:

from wovodat import WOVOdat

2.2 Initiate the module

There are two different ways to import the module:

wovo = WOVOdat(
    # Optional. 
    # Will show detailed information.
    # Default to False.
    verbose=True, 
    
    # Optional. 
    # For debugging purposes. Eg: For development.
    # Default to False.
    debug=True, # Optional. Default to False. Can be removed
)

or, just omit the parameters:

wovo = WOVOdat()

2.3 (Optional) Check list of supported data types

Call this attribute to get list of the supported data types. The column code can be used as reference to data_type_code parameter in step 2.5

#%%
wovo.data_types

Example output:

No	Categories	Data Type	Code
0	Deformation Data	Angle	1.1
1	Deformation Data	EDM	1.2
2	Deformation Data	GPS	1.3
3	Deformation Data	GPS Vector	1.4
4	Deformation Data	Levelling	1.5
5	Deformation Data	Insar	1.6
6	Deformation Data	Strain	1.7
7	Deformation Data	Electronic Tilt	1.8
8	Deformation Data	Tilt Vector	1.9
9	Fields Data	Magnetic Fields	2.1
10	Fields Data	Gravity Fields	2.2
11	Fields Data	Electric Fields	2.3
12	Fields Data	Magnetic Vector	2.4
13	Gas Data	Sample Gas	3.1
14	Gas Data	Soil Efflux	3.2
15	Gas Data	Plume from Ground based station	3.3
16	Gas Data	Plume From Satellite/Airplane	3.4
17	Hydrologic Sample Data	Hydrology	4.1
18	Meteo Data	Meteo	5.1
19	Seismic Data	Seismic Event From Network	6.1
20	Seismic Data	Seismic Event From Single Station	6.2
21	Seismic Data	Seismic Tremor	6.3
22	Seismic Data	Seismic Intensity	6.4
23	Seismic Data	RSAM	6.5
24	Thermal Data	Thermal from Ground based station	7.1
25	Thermal Data	Thermal From Satellite/Airplane	7.2

2.4 (Optional) Get data availability

This attribute will download the data availabilty from WOVOdat page.

wovo.availability

Example of the results:

No	vd_name	data_type	stime	etime	rows_of_data
0	Abu	seismic event	1920-06-14 07:39:16	2019-02-28 23:42:51	5223
1	Acamarachi	seismic event	1959-09-19 13:37:30	2020-09-19 03:21:29	104
2	Acatenango	seismic event	1951-07-25 18:42:23	2020-11-06 23:29:29	903
3	Acigöl-Nevsehir	seismic event	2003-09-19 12:27:32	2020-10-31 09:18:51	162
4	Adams	seismic event	1971-08-21 01:37:38	2017-11-18 09:52:46	438
5	Adams Seamount	seismic event	2001-11-22 11:03:47	2001-11-22 11:03:47	1
6	Adatara	GPS	2002-01-01 00:00:00	2014-01-31 00:00:00	9623
7	Adatara	tilt	2011-10-08 00:00:00	2014-01-31 00:00:00	648
8	Adatara	single station event	2002-01-20 09:13:00	2014-01-03 03:32:21	649
9	Adatara	seismic interval	2002-01-20 00:00:00	2014-01-03 00:00:00	250

2.5 Download Data

Download the data using this method:

wovo.download(
    # VD Number/Smithsonian ID
    smithsonian_id="273083",
    
    # Data type code. You can check step 2.3 
    # In this exmpale "6.5" is RSAM data type code
    data_type_code="6.5",
    
    # Start and end date. Make sure start date < end date
    # The date format is: YYYY-MM-DD
    start_date="1991-05-10",
    end_date="1991-05-17",
    
    # Mandatory
    # Put your information. 
    username="martanto",
    email="[e-mail]",
    affiliation="CVGHM",
    
    # Extarct downloaded zip file.
    # Default to True.
    extract_zip=True,
)