Structured water quality data for 41,000+ U.S. ZIP codes, derived from 20 federal and state sources including EPA SDWIS, EPA ECHO, UCMR5, Consumer Confidence Reports (CCR), state MCL databases, CDC blood lead, FEMA flood claims, Census housing age, and USGS groundwater. Each record includes…
Las características principales de artakulov/us-water-quality-data son: Geospatial Data Sources.
Las alternativas de código abierto para artakulov/us-water-quality-data incluyen: openaddresses/openaddresses — OpenAddresses is an open-source geospatial data aggregator and directory that collects public domain and open-license… movebank/movebank-api-doc — Description of download interface to build calls to the Movebank database using HTTP/CSV or JSON/JavaScript requests. awesomedata/awesome-public-datasets — This project is a community-maintained, open-access directory of high-quality public datasets. It serves as a… simonepri/geo-maps — 🗺 High Quality GeoJSON maps programmatically generated. teamookla/ookla-open-data — This dataset provides global fixed broadband and mobile (cellular) network performance metrics in zoom level 16 web… topojson/world-atlas — This repository provides a convenient redistribution of Natural Earth’s vector data, version 4.1.0 as TopoJSON. For…
OpenAddresses is an open-source geospatial data aggregator and directory that collects public domain and open-license address, parcel, and building datasets from governments and organizations worldwide. It functions as a global index and data warehouse for locating and distributing free geospatial records. The project operates a normalization pipeline that cleans and standardizes diverse source formats into a consistent global coordinate and attribute schema. This process includes a crowdsourced curation pipeline and programmatic quality validation to verify the spatial accuracy and formattin
Description of download interface to build calls to the Movebank database using HTTP/CSV or JSON/JavaScript requests
This project is a community-maintained, open-access directory of high-quality public datasets. It serves as a centralized reference point for researchers, developers, and data scientists to locate reliable information sources across a wide spectrum of industries and scientific fields. By providing a structured index, the repository facilitates the discovery of data necessary for exploratory analysis, machine learning model training, and the development of data-intensive applications. The directory distinguishes itself through a lightweight, platform-agnostic approach to resource indexing that
🗺 High Quality GeoJSON maps programmatically generated.