soilDB: Simplified Access to National Cooperative Soil Survey Databases

Algorithms for Quantitative Pedology

S4SS: Statistics for Soil Survey

An R package that assists with the setup and operation of a collection of soil data summary, comparison, and evaluation reports. These reports are primarily used by USDA-NRCS soil scientists in both initial and update mapping.

QGIS Plugin 'Curve Number Generator' has multiple algorithms to generate the curve number layer for any area of interest using different datasets.

Multi-model machine-learning metasystem for next-gen water supply forecasting

Soil Data Access Web Services

Easily access SNOTEL and CCSS station data daily without cloning this repo. Requires only pandas and geopandas (or just download the CSVs), with no complex APIs or download functions.

Workspace for projects and active development.

user driven SSURGO properties and interpretations

Digital Soil Mapping Focus Teams

CEAP Grazing Lands

Soil Data Access is the name of a suite of web services and applications whose purpose is to meet requirements for requesting and delivering soil survey spatial and tabular data that are not being met by the current Web Soil Survey and Geospatial Data Gateway websites.

Python client for USDA-NRCS Soil Data

Registry for Official Soil Series Descriptions (OSDs).

Tools for 'Field Indicators of Hydric Soils'

National Soil Information System (‘NASIS’) Data Model Abstraction Layer

PyAGNPS is a series of scripts and notebooks that helps in the creation of input files for TopAGNPS and AnnAGNPS

Global High-Resolution Curve Number Dataset Generator

Soil Data Access Scripts