The data package submitted supports a pre-feasibility wave energy resource assessment for Guam and includes all spatial, modeling, and processing products generated under the TEAMER Post-Access study. The submission consists of a complete GIS dataset compiled during the desktop study, including publicly available bathymetry, shoreline geometry, environmental and regulatory designations, navigation and use constraints, and coastal and onshore infrastructure layers organized to support screening-level siting analysis. Offshore SWAN boundary condition files derived from the WAVEWATCH III Pacific Islands hindcast are included as time-varying bulk wave parameters extracted from surrounding grid points and used to force high-resolution nearshore wave modeling. Full SWAN numerical model setup directories are provided for three Guam study domains, including multi-year (11-year) simulation configurations prepared and ready for execution; raw SWAN binary output files are excluded due to file size constraints. Processed SWAN outputs derived from the multi-year simulations are included and consist of annual and monthly averages of omnidirectional wave power, directionally resolved wave power, dominant wave direction, maximum directionally resolved wave power, and mean annual energy production metrics at all modeled station locations. A single-year SNL-SWAN simulation dataset for the northeastern Guam domain is also provided, including complete model output files generated to evaluate representative wave-device interactions under selected forcing conditions. In addition, Python scripts developed to process raw and processed SWAN outputs, compute IEC-consistent wave energy metrics, and generate figures and summary products used in the pre-feasibility assessment are included. All data products are provided in standard, non-proprietary formats suitable for long-term archival and reuse. Use of the submitted data is subject to several assumptions and prerequisites documented in the post-access report. All wave resource characterization is based on modeled data, primarily regional WAVEWATCH III hindcast products and higher-resolution SWAN simulations, rather than in situ measurements; uncertainties inherent to modeled wave datasets are preserved and carried forward in all derived products. The assessment is intended for screening- and prefeasibility-level evaluation only and does not represent device-specific performance, final site selection, permitting determinations, grid integration capability, or detailed engineering design. The 11-year SWAN simulation period was selected as a representative subset of the longer hindcast record and should not be interpreted as a complete characterization of long-term variability or extremes. Processed wave energy metrics were derived following IEC TS 62600-101 conventions using consistent spatial domains, temporal aggregation methods, and statistical summaries. Prerequisites for use of the data include GIS software such as QGIS to view and analyze the spatial datasets; a compiled SWAN executable and the Delft3D-WAVE graphical user interface to view, edit, and run the SWAN model configurations; the ability to obtain and compile SNL-SWAN from Sandia National Laboratories' public GitHub repository to utilize the SNL-SWAN files; and a Python development environment to review, edit, and execute the included Python scripts. Users are expected to have familiarity with coastal wave modeling, geospatial workflows, and IEC-aligned wave energy resource assessment practices when applying these data.