This record includes the Sea Level Impacts Input Dataset by Elevation, Region, and Scenario (SLIIDERS) dataset. It also includes source code to generate this product as well as necessary inputs that are not available for download elsewhere. Both the dataset and the source code are consistent with version 1.1, which is the version associated with Depsky et al., 2023 (under review). The zipped SLIIDERS Zarr store can be downloaded and accessed locally or can be directly accessed via code similar to the following: from fsspec.implementations.zip import ZipFileSystem import xarray as xr xr.open_zarr(ZipFileSystem(url_of_file_in_record}}).get_mapper()) File Inventory Products sliiders-v1.1.zarr.zip: SLIIDERS. A global dataset containing 18 socioeconomic variables, reflecting present day socioeconomic and geophysical characteristics of 11,980 coastal regions and projecting capital stock, GDP, and population growth trajectories through 2100 for five SSPs and two economic growth models. These variables are used as inputs to the pyCIAM modeling platform detailed in Depsky et al. 2023. Inputs All provided inputs are manually created or adjusted points used to create the coastline segments of SLIIDERS: ciam_segment_pts_manual_adds.parquet: A list of segment points manually added to those that come from the extreme sea level model CoDEC (Muis et al. 2020) gtsm_stations_ciam_ne_coastline_snapped.parquet: Stations from CoDEC snapped to coastlines from Natural Earth gtsm_stations_eur_tothin.parquet: A list of European points in CoDEC to thin. CoDEC provides ~10km resolution in Europe and ~50km elsewhere. For consistency, SLIIDERS uses ~50km spacing for its coastal segments globally. Source Code sliiders-1.1.1.zip: The source code used to generate SLIIDERS v1.1. See READMEs within this code for more details. This is consistent with release v1.1.1 of the code maintained on github at https://github.com/ClimateImpactLab/SLIIDERS