This JSON-LD Well Log template consists of meta features used to categorize the different water data collected from water gauges by the United States Geological Survey. Examples of meta features include site number, date and parameter codes.
This template is based on the rasterio R package.
library(FAIRmaterials)
# An example data frame for stream water(rasterio)information
<- data.frame(
stream_water 'siteNumber' = c("01491000","01645000"),
'date' = c('8-19-1998', '01-30-2002'),
'parameterCode' = c('sediment', 'information')
)
# This will generate json-ld files for the example data
<- fairify_data(stream_water, domain = 'streamWater') stream_water_output
from fairmaterials.fairify_data import *
import pandas as pd
# An example data frame for stream water(rasterio) data
= pd.DataFrame (
data 'siteNumber' = ['01491000', '01645000'],
'date' = ['8-19-1998', '01-30-2002'],
'parameterCode' = ['sediment', 'information'])
# This will generate JSON-LD file for the example data in Python
'streamWater') fairify_data(data,
https://jsonwelllogformat.org/ https://www.energistics.org/energistics-unit-of-measure-standard https://schema.org/ https://www.iso.org/standard/73830.html
This material is based upon work supported by SDLE Research Center