This data release includes data collected in the pursuit of identifying pre- and post-colonial riparian ecosystems found throughout Anne Arundel County, Maryland, USA. The single shapefile included documents the depths cored at both detailed study sites, and their spatial locations. Seventeen comma-delimited tables are included. Fourteen record pollen records at various depths identified within sediment cores taken at this study's two detailed investigation sites: Main Creek, near Pasadena, MD, and Bacon Ridge Branch, near Crownsville, MD. The remaining three include: radiocarbon dates associated with woody material identified in these sediment cores, visible, near-infrared, and X-ray Fluorescence (XRF) information associated with each sediment core respectively, and a data dictionary for the visible, near-infrared, and XRF data for clarity.

This data release includes data collected in the pursuit of identifying pre- and post-colonial riparian ecosystems found throughout Anne Arundel County, Maryland, USA. Two comma-delimited tables are included. The first documents pollen records at various depths identified within sediment samples taken throughout the county's floodplains. The other describes morphological information identifying tree species found buried in-situ throughout the county.

This data release includes data collected in the pursuit of identifying pre- and post-colonial riparian ecosystems found throughout Anne Arundel County, Maryland, USA. Two comma-delimited tables are included. The first documents pollen records at various depths identified within sediment samples taken throughout the county's floodplains. The other describes morphological information identifying tree species found buried in-situ throughout the county.

This data release includes data collected in the pursuit of identifying pre- and post-colonial riparian ecosystems found throughout Anne Arundel County, Maryland, USA. A single raster file is included, and represents a topological classification of the entire county according to a hydrologically conditioned Digital Elevation Model (DEM). Ten shapefiles are also included, nine of which represent the depths of various soil layers as identified by ground-penetrating radar for two detailed study sites within Anne Arundel County. A tenth documents the depths cored at both detailed study sites, and their spatial locations. Finally, twenty comma-delimited tables are included in this release with fifteen tables documenting pollen records at various depths identified within sediment samples taken throughout the country's flood plains. The remaining five tables include the following: general summary information for all sample sites; radiocarbon dates associated with woody material within the sediment cores; morphological information identifying tree species found buried in-situ throughout the county; visible, near-infrared, and X-Ray Fluorescence (XRF) information associated with each core; and a data dictionary for the previous information.

This data release includes data collected in the pursuit of identifying pre- and post-colonial riparian ecosystems found throughout Anne Arundel County, Maryland, USA. A single raster file is included, and represents a topological classification of the entire county according to a hydrologically conditioned Digital Elevation Model (DEM). Ten shapefiles are also included, nine of which represent the depths of various soil layers as identified by ground-penetrating radar for two detailed study sites within Anne Arundel County. A tenth documents the depths cored at both detailed study sites, and their spatial locations. Finally, twenty comma-delimited tables are included in this release with fifteen tables documenting pollen records at various depths identified within sediment samples taken throughout the country's flood plains. The remaining five tables include the following: general summary information for all sample sites; radiocarbon dates associated with woody material within the sediment cores; morphological information identifying tree species found buried in-situ throughout the county; visible, near-infrared, and X-Ray Fluorescence (XRF) information associated with each core; and a data dictionary for the previous information.

This data release is part of a larger data release including data collected in the pursuit of identifying pre- and post-colonial riparian ecosystems found throughout Anne Arundel County, Maryland, USA. A single raster file is included, and represents a topological classification of the entire county according to a hydrologically conditioned Digital Elevation Model (DEM). These data were generated through the use of r.geomorphon, a GRASS GIS toolkit, to classify local terrain conditions into one of ten distinct landforms called geomorphons.

This data release is part of a larger data release including data collected in the pursuit of identifying pre- and post-colonial riparian ecosystems found throughout Anne Arundel County, Maryland, USA. A single raster file is included, and represents a topological classification of the entire county according to a hydrologically conditioned Digital Elevation Model (DEM). These data were generated through the use of r.geomorphon, a GRASS GIS toolkit, to classify local terrain conditions into one of ten distinct landforms called geomorphons.

This data release includes data collected in the pursuit of identifying pre- and post-colonial riparian ecosystems found throughout Anne Arundel County, Maryland, USA. Nine shapefiles are included, representing the depths of various soil layers as identified by ground-penetrating radar for two detailed study sites within Anne Arundel County, as well as an estimate of the agricultural horizon.

This data release includes data collected in the pursuit of identifying pre- and post-colonial riparian ecosystems found throughout Anne Arundel County, Maryland, USA. Nine shapefiles are included, representing the depths of various soil layers as identified by ground-penetrating radar for two detailed study sites within Anne Arundel County, as well as an estimate of the agricultural horizon.

This data set summarizes the results from water and sediment samples collected from wetlands near decommissioned petroleum wells throughout the Texas Gulf Coast in order to determine the presence of constituents related to petroleum production. Site selection and sample collection occurred during an approximate 9 month period from September 2015 to May 2016. The data set includes two tables: one contains sediment-quality results and the other contains water-quality results.