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This JSON-LD Soil (HWSD) template consists set of features describing soil properties across the global stored in the Harmonized World Soil database. Data was collected to provide soil information to assist in assessing land potential productivity. Examples of features present include texture of the soil, water capacity, and depth of roots.
library(FAIRmaterials)
# An example data frame for soil(HWSD) data
<- data.frame(
soil 'ID' = c("176","250"),
'texture' = c('Coarse', 'None'),
'AwC' = c('0', '50'),
'roots' = c('60-80', '20-40'),
'addProp' = c('Petric', 'Vertic')
)
# This will generate json-ld files for the example data
<- fairify_data(soil, domain ='soil', saveLocal = TRUE) soil_output
from fairmaterials.fairify_data import *
import pandas as pd
# An example data frame for soil(HWSD) data
= pd.DataFrame (
data 'ID' = ["176","250"],
'texture' = ['Coarse', 'None'],
'AWC' = ['0', '50'],
'roots' = ['60-80', '20-40'],
'addProp' = ['Petric', 'Vertic']])
# This will generate JSON-LD file for the example data in Python
='soil', saveLocal = TRUE) fairify_data(data, domain
https://jsonwelllogformat.org/ https://www.energistics.org/energistics-unit-of-measure-standard https://schema.org/ https://www.iso.org/standard/73830.html https://www.fao.org/soils-portal/data-hub/soil-maps-and-databases/harmonized-world-soil-database-v12/en/
This material is based upon work supported by SDLE Research Center
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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