Detailed chemical, station (source and documentation, sample locations), and texture data are provided for bottom sediments of Lake Pontchartrain, Louisiana. The sediment data are provided as spreadsheet (Microsoft Excel), database (Microsoft Access), and tab-delimited files on CD-ROM and web site. The browser format is the same for both mediums. These data are in the form of appendixes at the end of the report, which provides extensive supporting data, interpretive diagrams, and discussion. The data were obtained from a variety of sources: published reports, theses, unpublished data from agencies and organizations in Louisiana, and Federal agencies such as the U.S. Army Corps of Engineers, U.S. Environmental Protection Agency, NOAA, National Status and Trends benthic surveillance program, and U.S. Geological Survey (publications and new field data).

This is the contoured bathymetry for Lake Pontchartrain created for USGS Professional Paper 1634 by Laura Hayes using Vertical Mapper.

This is the contoured bathymetry for Lake Pontchartrain created for USGS Professional Paper 1634 by Laura Hayes using Vertical Mapper.

Data release doi:10.5066/F71G0KKD associated with this metadata record serves as an archive of sediment data for samples collected in 2015, 2016, and 2017 from coastal Louisiana. In 2015 and 2016, sediment grab samples (N=874) were collected coast-wide along shore-perpendicular transects that included back-barrier, emergent (beach and barrier island), shoreface, and nearshore environments. Sample locations were selected to re-occupy locations previously sampled in 2008 (U.S. Geological Survey [USGS] Open-File Report 2013-1083). The 2008 and 2015-2016 datasets were collected under the Barrier Island Coastal Monitoring (BICM) program (CPRA project LA-0226; https://cims.coastal.louisiana.gov/outreach/ProjectView.aspx?projID=LA-0226), an ongoing collaboration between the State of Louisiana Coastal Protection and Restoration Authority (CPRA), the University of New Orleans (UNO) Pontchartrain Institute for Environmental Sciences (PIES), and the USGS. In 2017, additional grab samples (N=77) were collected along shore-perpendicular transects from West Belle Pass to Caminada Pass as part of the CPRA (CPRA project BA-0045; https://cims.coastal.louisiana.gov/outreach/ProjectView.aspx?projID=BA-0045). The 2015, 2016, and 2017 sediment samples were collected by personnel from UNO–PIES and provided to the USGS St. Petersburg and Coastal Marine Science Center (SPCMSC) sediment laboratory. Textural characteristics were analyzed using a Coulter LS 200 particle-size analyzer. Following SPCMSC data management and archiving protocols, the samples were assigned a USGS field activity number (FAN) (https://cmgds.marine.usgs.gov/fan_info.php?fan=2015-301-CNT). Data products, including sample location tables, results of sediment grain-size analyses, and geographic information system (GIS) data files with accompanying formal Federal Geographic Data Committee (FGDC) metadata can be downloaded from https://doi.org/10.5066/F71G0KKD.

Data release doi:10.5066/F71G0KKD associated with this metadata record serves as an archive of sediment data for samples collected in 2015, 2016, and 2017 from coastal Louisiana. In 2015 and 2016, sediment grab samples (N=874) were collected coast-wide along shore-perpendicular transects that included back-barrier, emergent (beach and barrier island), shoreface, and nearshore environments. Sample locations were selected to re-occupy locations previously sampled in 2008 (U.S. Geological Survey [USGS] Open-File Report 2013-1083). The 2008 and 2015-2016 datasets were collected under the Barrier Island Coastal Monitoring (BICM) program (CPRA project LA-0226; https://cims.coastal.louisiana.gov/outreach/ProjectView.aspx?projID=LA-0226), an ongoing collaboration between the State of Louisiana Coastal Protection and Restoration Authority (CPRA), the University of New Orleans (UNO) Pontchartrain Institute for Environmental Sciences (PIES), and the USGS. In 2017, additional grab samples (N=77) were collected along shore-perpendicular transects from West Belle Pass to Caminada Pass as part of the CPRA (CPRA project BA-0045; https://cims.coastal.louisiana.gov/outreach/ProjectView.aspx?projID=BA-0045). The 2015, 2016, and 2017 sediment samples were collected by personnel from UNO–PIES and provided to the USGS St. Petersburg and Coastal Marine Science Center (SPCMSC) sediment laboratory. Textural characteristics were analyzed using a Coulter LS 200 particle-size analyzer. Following SPCMSC data management and archiving protocols, the samples were assigned a USGS field activity number (FAN) (https://cmgds.marine.usgs.gov/fan_info.php?fan=2015-301-CNT). Data products, including sample location tables, results of sediment grain-size analyses, and geographic information system (GIS) data files with accompanying formal Federal Geographic Data Committee (FGDC) metadata can be downloaded from https://doi.org/10.5066/F71G0KKD.

The data in this layer are from an unpublished report produced by the Bigelow Laboratory. The source project was conducted primarily to examine contaminant distributions, but also produced sediment textural data. The data presented in this layer were not part of the Gulf of Maine Contaminated Sediments Database.

The data in this layer are from an unpublished report produced by the Bigelow Laboratory. The source project was conducted primarily to examine contaminant distributions, but also produced sediment textural data. The data presented in this layer were not part of the Gulf of Maine Contaminated Sediments Database.

In 2019, soil samples were collected at selected sediment-retention ponds in the Gunnison Gorge National Conservation Area, near Delta, Colorado. This dataset includes pond location, pond characteristics, soil-moisture data, soil-chemistry data, and geophysical data. Pond locations were surveyed using real-time kinematic Global Navigation Satellite Systems (RTK-GNSS) methods and incorporated as a single shapefile in Ponds.zip. Pond characteristics were assessed, and observations were made for assigned surficial-geologic unit, vegetation, check-dam condition, check-dam height, water holding capacity, and stream condition entering and exiting the pond. Pond-characteristic data are incorporated as a single comma-separated values (.csv) file (PondInventory.csv). Soil moisture and chemistry data characterize soil moisture, specific conductance, pH, total dissolved solids, and chloride at selected depths in the soil profile. Soil moisture and chemistry data are presented in a .csv file (SoilData.csv). Geophysical surveys were conducted using a Geophex GEM-2, a hand-held multi-frequency electromagnetic induction sensor. The geophysical surveys were conducted to evaluate soil conductivity differences in and around pond locations and are presented as the unprocessed data from the instrument as a .csv file in GEM-2 data.zip.

In 2019, soil samples were collected at selected sediment-retention ponds in the Gunnison Gorge National Conservation Area, near Delta, Colorado. This dataset includes pond location, pond characteristics, soil-moisture data, soil-chemistry data, and geophysical data. Pond locations were surveyed using real-time kinematic Global Navigation Satellite Systems (RTK-GNSS) methods and incorporated as a single shapefile in Ponds.zip. Pond characteristics were assessed, and observations were made for assigned surficial-geologic unit, vegetation, check-dam condition, check-dam height, water holding capacity, and stream condition entering and exiting the pond. Pond-characteristic data are incorporated as a single comma-separated values (.csv) file (PondInventory.csv). Soil moisture and chemistry data characterize soil moisture, specific conductance, pH, total dissolved solids, and chloride at selected depths in the soil profile. Soil moisture and chemistry data are presented in a .csv file (SoilData.csv). Geophysical surveys were conducted using a Geophex GEM-2, a hand-held multi-frequency electromagnetic induction sensor. The geophysical surveys were conducted to evaluate soil conductivity differences in and around pond locations and are presented as the unprocessed data from the instrument as a .csv file in GEM-2 data.zip.

This data release is an archive of sedimentary field and laboratory analytical data collected in Grand Bay, Alabama/Mississippi from 2014-2016 by scientists from the U.S. Geological Survey St. Petersburg Coastal and Marine Science Center (USGS SPCMSC). This work, a component of the SPCMSC’s Sea-level and Storm Impacts on Estuarine Environments and Shorelines (SSIEES) project, provides the necessary data to quantify sedimentation rates and sediment sources for the marsh and estuary. The SSIEES project objective is to evaluate the exchange of sediment material between the marsh and estuary due to extreme storms and sea-level rise. Micropaleontological data from select cores and surface samples are available in Haller and others (2018, https://doi.org/10.5066/F7MC8X5F, https://doi.org/10.5066/F7445KSG). Single-beam bathymetry of Grand Bay proper and multi-beam bathymetry of several marsh-edge eroding shorelines are reported in Dewitt and others (2017, https://doi.org/10.3133/ds1070) and Stalk and others (2018, https://doi.org/10.5066/F7MC8Z9N), respectively. Subbottom and sidescan sonar data for Grand Bay proper are reported in Locker and others (2018, https://doi.org/10.5066/P9374DKQ). This publication includes data for the sediment cores and surface sediments taken in Grand Bay marsh and estuary during five sampling periods of this study, which were designated as USGS Field Activity Numbers (FAN) 2014-323-FA (project ID 14CCT01), 2015-315-FA (project ID 15CCT02), 2016-331-FA (project ID 16CCT03), 2016-348-FA (project ID 16CCT04), and 2016-358-FA (project ID 16CCT07). Data products include: GPS-derived site locations and elevations; core photographs,logs, and x-radiographs; lithologic, radiochemical, elemental composition, stable isotopic composition, and radiocarbon data; and Federal Geographic Data Committee (FGDC) metadata.