In association with plant cover data, data on litter depth, water depth, and graminoid height were collected on 16, 1-ha experimental blocks in C3 and Marsh Creek units of Seney National Wildlife Refuge, 2006-2010. Within each unit, we selected 4 pairs of blocks representing sedge-shrub habitat, with one of the pair assigned to spring burning (C3, May 2008) or summer burning (Marsh Creek, 2007 and 2008). This before-after-control-impact design provided for data collection two growing seasons before the burn (2006, 16 blocks; 2007, 15 blocks) and two-three growing seasons (2008, 2009, and 2010; 14 blocks) after burning; the unburned plot of each pair served as the control, and the burned plot of each pair the treatment. Within each block, 25 points were established equidistant (25 m) from one another, 5 each along 5 transects. Data were collected at along a 2-m ruler set out at each points. The ruler was marked into 40 5-cm segments; these data were recorded only at the each fifth segment (5, 10, 15, 20, 25, 30, 35, and 40) as a single measure (not averaging accross the 5 segments). This table provides unsummarized data. Associated plant cover data are in Seney_ExpFireStudy_Plant_Taxa_Cover_data.csv.

Plant data were collected on 16, 1-ha experimental blocks in C3 and Marsh Creek units of Seney National Wildlife Refuge, 2006-2010. The percent cover of each plant taxon, moss as a group, and open area was recorded sing a modified line-intercept method for each of 25 sampling points within a block. Sampling points were equidistantly spaced, with 5 points spaced 25 m apart along each of 5 transects also spaced 25 m apart within each sampling block. Within each unit, we selected 4 pairs of blocks representing sedge-shrub habitat, with one of the pair assigned to spring burning (C3, May 2008) or summer burning (Marsh Creek, 2007 and 2008). This before-after-control-impact design provided for data collection two growing seasons before the burn (2006, all 16 blocks; 2007, 15 blocks) and two-three growing seasons (2008, 2009, and 2010; 14 blocks) after burning; the unburned plot of each pair served as the control, and the burned plot of each pair the treatment. Taxa were identified to species where possible,but some taxa were identified only to genus, and some species were merged for analyses because of challenges separating similar species. These data were used in conjunction with environmental data within each block to examine the effects burning on the plant community.

Plant data were collected on 16, 1-ha experimental blocks in C3 and Marsh Creek units of Seney National Wildlife Refuge, 2006-2010. The percent cover of each plant taxon, moss as a group, and open area was recorded sing a modified line-intercept method for each of 25 sampling points within a block. Sampling points were equidistantly spaced, with 5 points spaced 25 m apart along each of 5 transects also spaced 25 m apart within each sampling block. Within each unit, we selected 4 pairs of blocks representing sedge-shrub habitat, with one of the pair assigned to spring burning (C3, May 2008) or summer burning (Marsh Creek, 2007 and 2008). This before-after-control-impact design provided for data collection two growing seasons before the burn (2006, all 16 blocks; 2007, 15 blocks) and two-three growing seasons (2008, 2009, and 2010; 14 blocks) after burning; the unburned plot of each pair served as the control, and the burned plot of each pair the treatment. Taxa were identified to species where possible,but some taxa were identified only to genus, and some species were merged for analyses because of challenges separating similar species. These data were used in conjunction with environmental data within each block to examine the effects burning on the plant community.

Plant cover data were collected on 16, 1-ha experimental blocks in C3 and Marsh Creek units of Seney National Wildlife Refuge, 2006-2010. Within each unit, we selected 4 pairs of blocks representing sedge-shrub habitat, with one of the pair assigned to spring burning (C3, May 2008) or summer burning (Marsh Creek, 2007 and 2008). This before-after-control-impact design provided for data collection two growing seasons before the burn (2006, 16 blocks; 2007, 15 blocks) and two-three growing seasons (2008, 2009, and 2010; 13 blocks) after burning; the unburned plot of each pair served as the control, and the burned plot of each pair the treatment. This table provides calculated measures of species richness, Shannon Diversity Index (H), and scores for non-metric multidimensional scaling (3 axes), by treatment, site, and year. These metrics were not calculated for the 2 blocks in C3 dropped from data collection after 2007, or for the one Marsh Creek block burned in 2007 (hence just 13 blocks represented here). Raw data from which these metrics were described in Plant_Taxa_Metadata2.xml.

Plant cover data were collected on 16, 1-ha experimental blocks in C3 and Marsh Creek units of Seney National Wildlife Refuge, 2006-2010. Within each unit, we selected 4 pairs of blocks representing sedge-shrub habitat, with one of the pair assigned to spring burning (C3, May 2008) or summer burning (Marsh Creek, 2007 and 2008). This before-after-control-impact design provided for data collection two growing seasons before the burn (2006, 16 blocks; 2007, 15 blocks) and two-three growing seasons (2008, 2009, and 2010; 13 blocks) after burning; the unburned plot of each pair served as the control, and the burned plot of each pair the treatment. This table provides calculated measures of species richness, Shannon Diversity Index (H), and scores for non-metric multidimensional scaling (3 axes), by treatment, site, and year. These metrics were not calculated for the 2 blocks in C3 dropped from data collection after 2007, or for the one Marsh Creek block burned in 2007 (hence just 13 blocks represented here). Raw data from which these metrics were described in Plant_Taxa_Metadata2.xml.

These datasets represent USGS-led coastal wetland vegetation survey and mapping efforts at Metzger Marsh, part of the Ottawa National Wildlife Refuge (Ohio, USA) along the coast of western Lake Erie between 1994 and 2022. Vegetation quadrat data provide percent cover estimates per sampling quadrat and overall mean percent cover (MPC) values per species by vegetation type from 1994, and 1996-2010. Vegetation mapping (a.k.a., "photointerpretation") geospatial datasets provide full site cover visualizations and feature class information by vegetation type from 1994,1996-2002, and 2022.

These datasets represent USGS-led coastal wetland vegetation survey and mapping efforts at Metzger Marsh, part of the Ottawa National Wildlife Refuge (Ohio, USA) along the coast of western Lake Erie between 1994 and 2022. Vegetation quadrat data provide percent cover estimates per sampling quadrat and overall mean percent cover (MPC) values per species by vegetation type from 1994, and 1996-2010. Vegetation mapping (a.k.a., "photointerpretation") geospatial datasets provide full site cover visualizations and feature class information by vegetation type from 1994,1996-2002, and 2022.

Vegetation sampling and elevation data were collected to characterize the sedge-grass meadow of Arcadia Marsh, Arcadia, Michigan (USA), a drowned river mouth wetland near Lake Michigan. Wetland vegetation community data were collected by quadrat sampling in 1995, 2002, and 2010 and topographic data were collected via GPS and LIDAR positional data in 2010.

Vegetation sampling and elevation data were collected to characterize the sedge-grass meadow of Arcadia Marsh, Arcadia, Michigan (USA), a drowned river mouth wetland near Lake Michigan. Wetland vegetation community data were collected by quadrat sampling in 1995, 2002, and 2010 and topographic data were collected via GPS and LIDAR positional data in 2010.

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.