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Repository for the Rock & Fluid Sample DDMS services for OSDU.

The Geospatial Consumption Zone (GCZ) is a project spawned by the OSDU Geomatics Workstream to streamline the management and consumption of geospatial data in OSDU by client applications.

This is the home project for the OSDU data platform services. It provides an overview of all of the contributing services and activity related to the development, deployment and operations of the platform

Open Subsurface Data Universe will use this repository to maintain the open datasets used for testing and demonstrating the solution.

Python SDK that encapsulates calls to the Core Services.

Open ZGY contribution

The Search Service supports full-text search on string fields, range queries on date, numeric or string fields, along with geo-spatial search.

Docs: https://osdu.pages.opengroup.org/platform/system/search-service

Legacy contribution from Energistics - only supports WITSML v2.0

OSDU platform pre-shipping activities - This repository contains KT sessions, work demos, postman collections to support User Acceptance Testing for milestone releases

Azure Infrastructure provisioning scripts and templates

This is sdapi (C++ library) for seismic dms also known as SDMS v3

The Storage Service handles metadata ingestion in OSDU.

Docs: https://osdu.pages.opengroup.org/platform/system/storage

Schema (and Reference Value) Upgrade Service

Docs: https://osdu.pages.opengroup.org/platform/system/reference/schema-upgrade

The Schema Service enables schema management in the OSDU and offers an implementation of the schema standard.

Docs: https://osdu.pages.opengroup.org/platform/system/schema-service

The External Data Sources Data Management Service (EDS DMS) integrates with the Dataset Service to accept and proxy requests for obtaining retrieval instructions for externally resing datasets and proxy. The service is implemented in Java and provides an open API.

Wellbore Domain Data Management Services including type-safe entity access and optimized accessors for bulk data such as logs, trajectories, checkshots.