These data were collected under a cooperative agreement with the Massachusetts Office of Coastal Zone Management (CZM) and the U.S. Geological Survey (USGS), Coastal and Marine Geology Program, Woods Hole Science Center (WHSC). Initiated in 2003, the primary objective of this program is to develop regional geologic framework information for the management of coastal and marine resources. Accurate data and maps of sea-floor geology are important first steps toward protecting fish habitat, delineating marine resources, and assessing environmental changes due to natural or human impacts. The project is focused on the inshore waters (5-30 m deep) of Massachusetts between the New Hampshire border and Cape Cod Bay. Data collected for the mapping cooperative have been released in a series of USGS Open-File Reports (http://woodshole.er.usgs.gov/project-pages/coastal_mass/html/current_map.html). This spatial dataset is from the study area located between Duxbury and Hull Massachusetts, and consists of high-resolution geophysics (bathymetry, backscatter intensity, and seismic reflection) and ground validation (sediment samples, video tracklines and bottom photographs). The data were collected during four separate surveys conducted between 2003 and 2007 (NOAA survey H10993 in 2003, USGS-WHSC survey 06012 in 2006, and USGS-WHSC surveys 07001 and 07003 in 2007) and cover more than 200 square kilometers of the inner continental shelf.

All available bathymetry and related information for Lac Sante were collected and hard copy maps digitized where necessary. The data were validated against more recent data (Shuttle Radar Topography Mission 'SRTM' imagery and Indian Remote Sensing 'IRS' imagery) and corrected where necessary. The published data set contains the lake bathymetry formatted as an Arc ascii grid. Bathymetric contours and the boundary polygon are available as shapefiles.

This data set (investigators D. W. Caress, D. A. Clague, J. B. Paduan) is compiled from AUV mapping data collected on 46 surveys between 2006 and 2020 by the MBARI Mapping AUVs and the AUV Sentry operated by WHOI. The data set is interim and to be considered a work in progress. The navigation model underlying this version of bathymetry was generated on 10 March 2021 using the MB-System mbnavadjust program, with which the surveys are tied together. As future data are acquired, the bathymetry coverage will increase and the navigation model will shift. The "MAUV*All*" bathymetry grids were constructed by stacking (with GMT grdmath "AND" function) year-by-year grids so that the more recent data are on top and thus later coverage supercedes coverage collected prior to the 2011 and 2015 eruptions. The "MAUV*OverEM302*" grids were made from the AUV composite grid stacked above a bathymetry grid made from data collected with EM302 multibeam sonars aboard the R/Vs Thompson and Kilo Moana. All are in the geographic WGS-1984 coordinate system and gridded at 1-m horizontal resolution, as square cells for use with GIS. The data files in this data set are in ESRI ASCII grid format. Funding for the work was provided through annual grants to MBARI from the David and Lucile Packard Foundation and grants from the Ocean Sciences Division of the National Science Foundation (awards NSF OCE-1356839, NSF OCE-1737019) to David W. Caress, William W. Chadwick, and Scott L. Nooner.

GIS data for the global map of Anthropogenic Biomes (version 1) originally published in Ellis and Ramankutty (2008). The ZIP file contains an ArcInfo ASCII GRID and associated files for use in GIS software. This dataset is a 5 arc minute thematic grid, prepared as described in WebPanel 1 of Ellis and Ramankutty (2008). An image (.png) file describing the map legend/symbology is: anthromes_v1_legend.png To view these data in ArcGIS, simply unzip to an accessible directory. Please Cite: Ellis, E. C., and N. Ramankutty. 2008. Putting people in the map: anthropogenic biomes of the world. Frontiers in Ecology and the Environment 6:439-447. Download publication here: http://www.ecotope.org/people/ellis/papers/ellis_2008.pdf More information here: http://ecotope.org/anthromes/v1/

The Cape Canaveral Coastal System (CCCS) is a prominent feature along the Southeast U.S. coastline and is the only large cape south of Cape Fear, North Carolina. Most of the CCCS lies within the Merritt Island National Wildlife Refuge and included in its boundaries are the Cape Canaveral Air Force Station (CCAFS), NASA’s Kennedy Space Center (KSC), and a large portion of Canaveral National Seashore. The actual promontory of the modern cape falls within the jurisdictional boundaries of the CCAFS. These various agencies have ongoing concerns related to erosion hazards and vulnerability of the system including critical infrastructure, habitats, and recreational and cultural resources. The USGS conducted a bathymetric mapping survey August 18-20, 2014, in the Atlantic Ocean offshore of Cape Canaveral, Florida (USGS Field Activity Number 2014-324-FA). The study area covered an area extending south from Port Canaveral, Florida, to the northern end of the KSC property and from the shoreline to about 2.5 km offshore. Bathymetric data were collected with single-beam sonar- and lidar-based systems. Two jet skis and a 17-ft outboard motor boat equipped with the USGS SANDS hydrographic system collected precision sonar data. The sonar operations were conducted in three missions, one on each day, with the boat and jet skis operating concurrently. The USGS airborne EAARL-B mapping system flown in a twin engine plane was used to collect lidar data. The lidar operations were conducted in three missions, one in the afternoon of August 19, 2015, and two more in the morning and afternoon of August 20, 2014. The missions were synchronized such that there was some temporal and spatial overlap between the sonar and lidar operations. Additional data were collected to evaluate the actual water clarity corresponding to lidar's ability to receive bathymetric returns. This dataset serves as an archive of processed single-beam and lidar bathymetry data collected at Cape Canaveral, Florida, in 2014 (in XYZ comma delimited, ASCII and shapefile format). Also included in this archive are Geographic Information System (GIS) data products: gridded map data (in ESRI binary and ASCII grid format), and a color-coded bathymetry map (in PDF format).

Abstract

The dataset was derived by the Bioregional Assessment Programme from the Geoscience Australia 1 second DEM dataset. The source dataset is identified in the Lineage field in this metadata statement. The processes undertaken to produce this derived dataset are described in the History field in this metadata statement.

This dataset consists of an ASCII format version of the 1 second SRTM DEM. The spatial extent is a bounding rectangle which covers the entire Clarence-Morton bioregion.

Dataset History

This ascii grid was clipped from the 1 second SRTM DEM using an rectangular extent which covers the entire Clarence-Morton bioregion. The coordinates (UTM) of the extent are:

Top = 7011989.43173, Left = 362618.576, Right = 586771.518283, Bottom = 6632403.524.

Dataset Citation

Bioregional Assessment Programme (2014) CLM - DEM in ascii format. Bioregional Assessment Derived Dataset. Viewed 28 September 2017, http://data.bioregionalassessments.gov.au/dataset/4e33c849-20ef-48f0-a522-22ac80d9cc73.

Dataset Ancestors

• Derived From Geoscience Australia, 1 second SRTM Digital Elevation Model (DEM)

GIS data for the global map of Anthropogenic Biomes (version 2) originally published in Ellis et al. (2010). This dataverse is composed of a set of 5 arc minute gridded data for the years 1700, 1800, 1900 and 2000. The ZIP file contains directories for each year with an ArcInfo ASCII GRID and associated files for use in GIS software. An image (.png) file describing the map legend/symbology is: anthromes_v2_legend.png To view these data in ArcGIS, simply unzip to an accessible directory. Please cite: Ellis, E. C., K. Klein Goldewijk, S. Siebert, D. Lightman, and N. Ramankutty. 2010. Anthropogenic transformation of the biomes, 1700 to 2000. Global Ecology and Biogeography 19:589-606. doi: 10.1111/j.1466-8238.2010.00540.x More information here: http://ecotope.org/anthromes/v2/

All available bathymetry and related information for Garner Lake were collected and hard copy maps digitized where necessary. The data were validated against more recent data (Shuttle Radar Topography Mission 'SRTM' imagery and Indian Remote Sensing 'IRS' imagery) and corrected where necessary. The published data set contains the lake bathymetry formatted as an Arc ascii grid. Bathymetric contours and the boundary polygon are available as shapefiles.

High resolution bathymetry mapping of the coastal rivers and inland lakes along the Southwest coast of Everglades National Park (ENP) is greatly needed from the perspective of resource mapping and future research and hydrologic modeling efforts. To this end, bathymetric surveys of 8 coastal rivers were completed in 2004 as part of a cooperative project between the US Geological Survey (USGS) and the South Florida Water Management District (SFWMD). Recent analyses of geo_databases from the project in 2004 shows that Lostmans River and several segments of Shark River remained to be mapped. Completed surveys for these areas will provide and invaluable and complete set of bathymetric surveys of coastal rivers along the Southwest coast of ENP. This report serves as an archive of processed interferometric swath bathymetry data that were collected during one cruise (USGS Field Activity Numbers 2015_304_FA) in Lower Shark River, Florida. Geographic information system data products include: a 5 m_cell_size interpolated bathymetry grid surface and point data files. Also included in this archive are Geographic Information System (GIS) data products: gridded map data (in Esri binary and ASCII grid format), and a color_coded bathymetry map (in PDF format). Additional files include Field Activity Collection System logs, and formal Federal Geographic Data Committee (FGDC) metadata.

All available bathymetry and related information for Chin Lakes were collected and hard copy maps digitized where necessary. The data were validated against more recent data (Shuttle Radar Topography Mission 'SRTM' imagery and Indian Remote Sensing 'IRS' imagery) and corrected where necessary. The published data set contains the lake bathymetry formatted as an Arc ascii grid. Bathymetric contours and the boundary polygon are available as shapefiles.

All available bathymetry and related information for Fork Lake were collected and hard copy maps digitized where necessary. The data were validated against more recent data (Shuttle Radar Topography Mission 'SRTM' imagery and Indian Remote Sensing 'IRS' imagery) and corrected where necessary. The published data set contains the lake bathymetry formatted as an Arc ascii grid. Bathymetric contours and the boundary polygon are available as shapefiles.

All available bathymetry and related information for Hasse Lake were collected and hard copy maps digitized where necessary. The data were validated against more recent data (Shuttle Radar Topography Mission 'SRTM' imagery and Indian Remote Sensing 'IRS' imagery) and corrected where necessary. The published data set contains the lake bathymetry formatted as an Arc ascii grid. Bathymetric contours and the boundary polygon are available as shapefiles.

All available bathymetry and related information for Rock Lake were collected and hard copy maps digitized where necessary. The data were validated against more recent data (Shuttle Radar Topography Mission 'SRTM' imagery and Indian Remote Sensing 'IRS' imagery) and corrected where necessary. The published data set contains the lake bathymetry formatted as an Arc ascii grid. Bathymetric contours and the boundary polygon are available as shapefiles.

All available bathymetry and related information for Medicine Lake were collected and hard copy maps digitized where necessary. The data were validated against more recent data (Shuttle Radar Topography Mission 'SRTM' imagery and Indian Remote Sensing 'IRS' imagery) and corrected where necessary. The published data set contains the lake bathymetry formatted as an Arc ascii grid. Bathymetric contours and the boundary polygon are available as shapefiles.

Abstract: This data set (investigators D. W. Caress, D. A. Clague, J. B. Paduan, M. Le Saout) is compiled from data collected on surveys of the South Rift Zone at Axial Seamount between 2011 and 2019 by the MBARI Mapping AUVs. This data set is as published in Le Saout et al., 2022, Faulting and magmatic accretion across the overlapping spreading center between Vance Segment and Axial South Rift, GRL. The bathymetry is interim and to be considered a work in progress. The navigation model underlying this version of bathymetry was generated on 31 October 2019 using the MB-System mbnavadjust program, with which the AUV surveys are tied together. As future data are acquired, the bathymetry coverage will increase and the navigation model will shift. The grid is in ESRI ASCII format in the geographic WGS-1984 coordinate system and has 1-m horizontal resolution, with square cells for use with GIS. Funding for the work was provided through annual grants to MBARI from the David and Lucile Packard Foundation.

All available bathymetry and related information for Claude Lake were collected and hard copy maps digitized where necessary. The data were validated against more recent data (Shuttle Radar Topography Mission 'SRTM' imagery and Indian Remote Sensing 'IRS' imagery) and corrected where necessary. The published data set contains the lake bathymetry formatted as an Arc ascii grid. Bathymetric contours and the boundary polygon are available as shapefiles.

All available bathymetry and related information for Twin Lakes were collected and hard copy maps digitized where necessary. The data were validated against more recent data (Shuttle Radar Topography Mission 'SRTM' imagery and Indian Remote Sensing 'IRS' imagery) and corrected where necessary. The published data set contains the lake bathymetry formatted as an Arc ascii grid. Bathymetric contours and the boundary polygon are available as shapefiles.

Abstract: This high-resolution gridded bathymetry data was acquired with a Reson SeaBat 7125 Multibeam sonar system on MBARI Mapping AUV missions 20150305m1 and 20150306m2 in Pescadero Basin during the 2015 R/V Rachel Carson cruise RCSN234 (chief scientist Dave Caress). The data files are in ESRI ASCII grid format and were processed using the open-source MB-System multibeam sonar processing software. The grid is 1-meter horizontal resolution. Navigation is DVL/USBL, adjusted with MBSystem in post-processing. Funding for this work was provided by the David and Lucile Packard Foundation.

All available bathymetry and related information for Bear Lake were collected and hard copy maps digitized where necessary. The data were validated against more recent data (Shuttle Radar Topography Mission 'SRTM' imagery and Indian Remote Sensing 'IRS' imagery) and corrected where necessary. The published data set contains the lake bathymetry formatted as an Arc ascii grid. Bathymetric contours and the boundary polygon are available as shapefiles.

All available bathymetry and related information for Joseph Lake were collected and hard copy maps digitized where necessary. The data were validated against more recent data (Shuttle Radar Topography Mission 'SRTM' imagery and Indian Remote Sensing 'IRS' imagery) and corrected where necessary. The published data set contains the lake bathymetry formatted as an Arc ascii grid. Bathymetric contours and the boundary polygon are available as shapefiles.