The CADNSDI or the Cadastral Publication Data Standard is the cadastral data component of the National Spatial Data Infrastructure (NSDI). This is the publication guideline for cadastral data that is intended to provide a common format, structure and content for cadastral information that can be made available across jurisdictional boundaries. This ensures the availability of consistent and uniform cadastral data that meets various business needs including connections to the source information from the data stewards. Data stewards are responsible for determining which data are published and should be contacted for any questions regarding data content or for additional information. The cadastral publication data is supplied regularly by cadastral data producers in a standardized format and consists of two main components: land parcel data and cadastral reference data. It is essential to understand that publication data differs from operational, maintenance, or production data. The production data is structured to optimize maintenance processes, integrates with internal agency operations, and contains significantly more detail than publication data. The publication data represents a subset of the more comprehensive production data and is reformatted to align with national standards, allowing integration across jurisdictional boundaries and be presented in a uniform and standardized format nationwide. The data has been converted from source documents into a digital format and structured in compliance with FGDC Cadastral Data Content Standards and Guidelines for publication. This data set is optimized for data publication and sharing rather than for specific “production” or operation and maintenance. The primary source of this data is the Cadastral survey records maintained by the Bureau of Land Management (BLM), supplemented by records and geographic control coordinates from other federal agencies such as the U.S. Forest Service, USGS 7 ½ minute quadrangles and, where applicable, alternate source data. Occasionally, the complexity of surveys made data collection prohibitively expensive, especially in areas with multiple overlapping mineral surveys. In such instances, the data were often not fully abstracted or were only partially abstracted before being incorporated into the dataset.