The purpose of compiling the CEUS-SSC Project database was to organize and store those data and resources that had been carefully and thoroughly collected and described for the TI Team’s use in characterizing potential seismic sources in the CEUS. An important goal for the development of this database was to document sources and dates for all information that was initially assessed for the CEUS-SSC Project, specifying exactly what data and resources were considered, and provide for pertinent future data sets to be incorporated as they were generated for the project. Development of the project database began at the inception of the project to provide TI Team members with a common set of data, maps, and figures for characterization of potential seismic sources. The database was continually updated during the course of the project through the addition of new references and data collected by TI Team members and project subcontractors, including information presented in project workshops and provided through PPRP review documentation. This appendix presents the contents of the project database, as well as information on the workflow, development roles, database design considerations, data assessment tasks, and management of the database. Based on the CEUS Project Plan, the project database included, but was not limited to, the following general types of data: Magnetic anomaly Gravity anomaly Crystalline basement geology Tectonic features and tectonic/crustal domains Tectonic stress field Thickness of sediments Crustal thickness VP at top of crystalline basement Seismic reflection data at Charleston, South Carolina Earthquake catalog Quaternary faulting and potential Quaternary features Mesozoic rift basins Paleoliquefaction sites Topography and bathymetry Liquefaction dates from published literature for the Wabash, New Madrid, and Charleston seismic zones Index map showing locations of published crustal scale seismic profiles and geologic cross sections

Abstract:The Australian Bathymetry and Topography web service includes the topography of Australia and the bathymetry of the adjoining Australian Exclusive Economic Zone. The area selected does not include data from Australia's marine jurisdiction offshore from the Territory of Heard and McDonald Islands and the Australian Antarctic Territory. The 2009 bathymetry data were compiled by Geoscience Australia from multibeam and single beam data, and along with the topography (onshore) data, was derived from multiple sources. As per the 2005 grid, the 0.0025 dd resolution is only supported where direct bathymetric observations are sufficiently dense (e.g. where swath bathymetry data or digitised chart data exist) (Webster and Petkovic, 2005). In areas where no sounding data are available (in waters off the Australian shelf), the grid is based on the 2 arc minute ETOPO (Smith and Sandwell, 1997) and 1 arc minute ETOPO (Amante and Eakins, 2008) satellite derived bathymetry. The topographic data (onshore data) is based on the revised Australian 0.0025dd topography grid (Geoscience Australia, 2008), the 0.0025dd New Zealand topography grid (Geographx, 2008) and the 90m SRTM DEM (Jarvis et al, 2008).© Commonwealth of Australia (Geoscience Australia) 2016.Downloads and Links:Web ServicesAustralian Bathymetry and Topography Grid, June 2009 WCSAustralian Bathymetry and Topography Grid, June 2009 WMSAustralian Bathymetry and Topography Grid, June 2009 MapServer Downloads available from the expanded catalogue link, belowMetadata URL:https://pid.geoscience.gov.au/dataset/ga/67703

This page contains links to all available GIS elevation datasets, services, and related applications.

The GRACE twin satellites, launched 17 March 2002, are making detailed measurements of Earth's gravity field changes and revolutionizing investigations about Earth's water reservoirs over land, ice and oceans, as well as earthquakes and crustal deformations. The two GRACE satellites have completed more than 13 years of continuous measurements! GRACE TELLUS provides user-friendly Level-3 data grids of monthly surface mass changes, with most geophysical corrections applied, to analyze changes in the mass of the Earth's hydrologic, cryospheric, and oceanographic components. We do so by using GRACE Level-2 data, with additional post-processing, alone or in combination with other ancillary data, to generate gridded, geo-located products (monthly and time-averaged) with the most up-to-date corrections.

This package contains the supplementary information (SI) of chapter 4 of the dissertation of Frederik T. Weiss with the Dissertation No. ETH 27434 (defended: 24th February, 2021), entitled: "Pesticides in a tropical Costa Rican stream catchment: from monitoring and risk assessment to the identification of possible mitigation options". Generally within this thesis the supplementary information (SI) is divided into three parts (SI A, SI B, SI C). For each chapter, SI A section contains background information/data for the reader with quick and easy access added directly after each main chapter. SI B contains raw data, further processed data for analysis, and figures of processed data presented as Excel files. SI C combines the R scripts with information and commands utilized for the statistical analysis. The abstract of chapter 4 reads as follows: "Finding targeted strategies to mitigate entry of pesticides into surface waters in areas of intense agriculture is challenging. This holds especially true in little studied areas with very distinct topographic characteristics and unconventional field cultivation practices, such as in the tropical Tapezco river catchment in Costa Rica. Within this catchment, areas with steep slopes are used for intense horticultural farming of mainly vegetables. This is exclusively done by a farming practice similar to contour farming, the practice of tilling land with furrows along parallel lines of consistent elevation in order to conserve rainwater and to prevent soil losses by erosion. At the same time, slope-directed paths are implemented to act as drainage system to avoid stagnant water on the fields during heavy rain events, though as well connecting the fields directly with the streams, which enable a fast pesticide transport. Indeed, a significant contamination of streams with pesticides and pesticide transformation products (PPTP) throughout the Tapezco river catchment has been confirmed, leading to considerable toxicological risks to aquatic communities, urgently calling for effective mitigation strategies to reduce PPTP inputs. To identify how PPTP are transported from horticultural areas into streams of the Tapezco river catchment, different PPTP transportation pathways were considered. The first investigated pathway was via handling practices of pesticides by farmers and field workers, where inappropriate handling was proposed to lead to sporadically distributed pesticide inputs unrelated to hydrology. The second studied pathway was surface run-off. Typically, heavy precipitation events are found to be important drivers for the surface-based transport of pesticides into the streams. Thus, such pesticide inputs can be assumed to correlate positively with water levels in the receiving streams. Surface run-off is additionally favored by the slope-directed paths on the fields, which directly connect fields with the streams. Therefore, the influence of prevalent topographical and hydrological variables on PPTP inputs via surface run-offs were studies within this thesis. The third potential investigated input pathway was the leaching of pesticides into the ground from where pesticides can enter streams via exfiltration through river banks. This path would be expected to lead to a constant input that is negatively correlated with water levels. To investigate the role of these pathways in transporting PPTP into the streams, pesticide peaks unrelated to hydrology were identified based on measured environmental concentrations (MEC) of PPTP and compared with water level time series. Survey data about pesticide handling practices were evaluated additionally. Temporal PPTP distributions were investigated during three sampling periods (ΔT1, Δ2a, Δ2b) within 2015 and 2016 and spatial trends were studied at eight sub-catchment (SC) sites. In addition, knowledge on the topography (share of horticultural land, share of forest in the 100 m stream buffer zone, average slopes of the horticultural fields) and hydrology (median water level factors) was considered. These variables were referred to as explanatory variables while 20-, 50- and 80-percentiles of MEC were considered dependent variables. The explanatory and dependent variables were correlated via linear regression modelling for identifying the most important determinants of PPTP transport. There, 20-percentiles represent a scenario with low precipitations, no or low surface run-offs and low PPTP inputs; 50-percentiles a scenario with medium precipitations, resulting in medium surface run-offs and PPTP inputs; and 80-percentiles a scenario with high precipitations, heavy surface run-offs and high PPTP inputs into streams. With a focus on potential mitigation measures achieving the highest effectiveness for reducing risks to aquatic biota, analyses were performed on a sub-set of PPTP that dominated the risks to aquatic organisms, along with three transformation products (TP) to calculate TP/PPTP ratios as a measure of pesticide residence time. The correlation analysis of the PPTP input pathways was again based on eight SC sites. The input of three pesticides were very likely due to inappropriate handling. For five additional pesticides, the input via inappropriate handling seemed probable. Temporal exposure trends were observed by comparing the MEC during the sampling period with reduced precipitation (ΔT1, in 2015) with the MEC detected at periods with normal precipitations (Δ2a, Δ2b, in 2016). In addition, spatial trends were investigated by conducting a cluster analysis with the MEC PPTP data (20-, 50- and 80-percentiles) among the different sites. Particularly the pesticide distributions at SC2 and SC3 were different compared to other sites (SC1, SC4, SC6, SC7 and SC8). However, except for the 20-percentile scenario, the pesticide distribution at SC5 was similar compared to that at SC2 and SC3, forming one sub-cluster. Linear regression models helped to find relationships between two explanatory variables, namely, the share of forest in the buffer zone, and mean slopes of horticultural fields, and the dependent variable, MEC percentiles in streams. For five PPTP, boscalid, diazinon, diuron-desdimethyl, linuron and prometryn + terbutryn the percentile concentrations decreased significantly with increasing share of forest in 100 m river buffer zone considering all scenarios. With regard to the horticultural mean slope, for cyhalothrin and thiamethoxam, the percentile concentrations increased with increasing mean slopes of the horticultural areas for all three scenarios. A high share of forest in the buffer zone worked generally as barrier for input via surface run-off, but not for all PPTP. For the fungicide, carbendazim, increased average slopes did not favor the input into the streams and inputs were low even at sites with horticultural areas with a high mean slope (80 percentile scenario). By analyzing groundwater samples it became apparent that, especially in SC with horticultural fields with low average slopes, a leaching of PPTP into groundwater and further transport into the streams via exfiltration might be possible. Based on this assessment, three avenues for mitigating input of PPTP into the streams could be deduced: to provide training workshops for better handling as well as biobeds for proper disposal; to avoid cultivation of crops in high need insecticides on steep slopes; and to establish forested buffer zones between the fields and the streams."

The Teagasc Subsoils map classifies the subsoils of Ireland into 16 themes, using digital stereo photogrammetry supported by field work. Produced by Teagasc (Kinsealy), EPA and GSI.

This submission contains geospatial (GIS) data on water table gradient and depth, subcrop gravity and magnetic, propsectivity, heat flow, physiographic, boron and BHT for the Southwest New Mexico Geothermal Play Fairway Analysis by LANL Earth & Environmental Sciences. GIS data is in ArcGIS map package format.

This archive contains seismic shot field records for 10 profiles located in Camas Prairie, Idaho. The eight numbered .sgy files were acquired using a seismic land streamer system with an accelerated weight drop source and 72 geophones. These 10-Hz geophones were mounted on base plates and dragged behind the seismic source. Shots were acquired every 4 meters along the length of lines 500West, 550 West, 600West, 700West, 800West, 900West, 200South and 200North. The objective was to map stratigraphy and structures related to geothermal fluid flow in the upper few hundred meters. A readme file is included with descriptions of individual files. The lines names refer to to roads which are numbered relative to the distance from the county seat (the town of Fairfield) along the the main highways. For example, 500 West implies that this north-south street crosses the main road 5 miles to the west of town. The included geologic, topographic, and aerial maps show the labeled seismic lines, while the regional map shows only the line geometry and regional faulting.

Topography maps and information about Virginia, includes links to other topography sites.

Topographic maps for the northern Appalachian Basin area, subsurface readings, and seismic data in the forms of PDFs and tables.

This is a link to the Automated Geographic Reference Center (AGRC) that houses GIS data for the state of Utah. This includes geoscience, cadastre, elevation and terrain, digital aerial photography, roads, aquifer data, etc. Several GIS datasets used in the Utah FORGE project originated from this site.

Newberry seeks to explore "blind" (no surface evidence) convective hydrothermal systems associated with a young silicic pluton on the flanks of Newberry Volcano. This project will employ a combination of innovative and conventional techniques to identify the location of subsurface geothermal fluids associated with the hot pluton. Newberry project drill site location map 2010. This submission contains a topographic drill site location map.

The National Elevation Dataset (NED) is a new raster product assembled by the U.S. Geological Survey. The NED is a seamless mosaic of best-available elevation data with a consistent datum, elevation unit, and projection. Data corrections were made in the NED assembly process to minimize artifacts, perform edge matching, and fill sliver areas of missing data. One of the effects of the NED processing steps is a much-improved base of elevation data for calculating slope and hydrologic derivatives. Older DEM's produced by methods that are now obsolete are filtered during the NED assembly process to minimize artifacts that are commonly found in data produced by these methods. NED processing also includes steps to adjust values where adjacent DEM's do not match well, and to fill sliver areas of missing data between DEM's. These processing steps ensure that NED has no void areas and artificial discontinuities have been minimized. In cases where 7.5-minute DEM's have 10-meter resolution, the original source data will be at a higher resolution than the NED. In 1999 the Canaan Valley Institute and WVGISTC published the ERDAS IMAGINE mosaic. In 2002 the WV DEP published an ArcGrid mosaic that eliminated the noise artifact associated with hillshaded images. The WV DEP elevation grid was merged into a single block, reprojected using bilinear interpolation to a 30M cell size and cropped using a state boundary grid that was buffered outward 1km. The WV DEP elevation grid data was then rounded to the nearest integer value to reduce the file size.

The 7.5-minute digital elevation model (DEM) data are digital representations of cartographic information in a raster form. The DEMs consists of an array of elevations for ground positions at regularly spaced 10-meter intervals. DEMs can be used as source data for digital orthophotos, and for earth science analysis as layers in geographic information systems. DEMs can also serve as tools for volumetric analysis, for site location of towers, or for drainage basin delineation. Originator is the U.S. Geological Survey. These Level 2 DEMs were generated from (1) 1:24,000-scale hypsography digital line graph (DLG) data or from (2) vector data derived from scanned raster files of USGS 1:24.000-scale separates.

These DEMs consist of an array of elevations for ground positions at regularly spaced 3-meter intervals. They were created from mass points and breaklines collected as part of the Statewide Addressing and Mapping Board's mission. DEMs based on 24K scale quadrangle boundaries are available for download from the State Data Clearinghouse or offsite from the USGS Seamless Data Distribution System, 1/9th Arc Second, Natonal Elevation Dataset. The Statewide Addressing and Mapping Board (SAMB) contracted BAE SYSTEMS ADR to create a stereo photogrammetric-derived DTM from statewide spring 2003 aerial photography to support vertical elevation accuracies of +- 10 feet. The SAMB required its Project Management Team (Michael Baker Jr, Inc.) to perform independent quality assurance in order to certify final product acceptance. Baker used NSSDA automated and visual tests of attribute accuracy, logical consistency, completeness, and adherence to SAMB project data specifications. Using mass points and breaklines provided by the SAMB, the West Virginia GIS Technical Center worked in conjunction with the United States Geologic Survey to create raster elevation data at 3 meter (1/9th arc second) resolution compliant with National Elevation Dataset standards. Detailed information about the conversion process can be found HERE.

A Digital Raster Graphic (DRG) is a scanned image of a U.S. Geological Survey (USGS) topographic map. An unclipped scanned image includes all marginal information, while a clipped or seamless scanned image clips off the collar information. DRGs may be used as a source or background layer in a geographic information system, as a means to perform quality assurance on other digital products, and as a source for the collection and revision of digital line graph data. The DRGs also can be merged with other digital data (e.g., digital elevation model or digital orthophotoquad data), to produce a hybrid digital file. The output resolution of a DRG varies from 250 to 500 dots per inch. The horizontal positional accuracy of the DRG matches the accuracy of the published source map. To be consistent with other USGS digital data, the image is cast on the UTM projection, and therefore, will not always be consistent with the credit note on the image collar. Only the area inside the map neatline is georeferenced, so minor distortion of the text may occur in the map collar. Refer to the scanned map collar or online Map List for the currentness of the DRG.

From the site: “A Digital Raster Graphic (DRG) is a scanned image of a U.S. Geological Survey (USGS) topographic map. An unclipped scanned image includes all marginal information, while a clipped or seamless scanned image clips off the collar information. DRGs may be used as a source or background layer in a geographic information system, as a means to perform quality assurance on other digital products, and as a source for the collection and revision of digital line graph data. The DRGs also can be merged with other digital data (e.g., digital elevation model or digital orthophotoquad data), to produce a hybrid digital file. The output resolution of a DRG varies from 250 to 500 dots per inch. The horizontal positional accuracy of the DRG matches the accuracy of the published source map. To be consistent with other USGS digital data, the image is cast on the UTM projection, and therefore, will not always be consistent with the credit note on the image collar. Only the area inside the map neatline is georeferenced, so minor distortion of the text may occur in the map collar. Refer to the scanned map collar or online Map List for the currentness of the DRG.”

From the site: “A Digital Raster Graphic (DRG) is a scanned image of a U.S. Geological Survey (USGS) topographic map. An unclipped scanned image includes all marginal information, while a clipped or seamless scanned image clips off the collar information. DRGs may be used as a source or background layer in a geographic information system, as a means to perform quality assurance on other digital products, and as a source for the collection and revision of digital line graph data. The DRGs also can be merged with other digital data (e.g., digital elevation model or digital orthophotoquad data), to produce a hybrid digital file. The output resolution of a DRG varies from 250 to 500 dots per inch. The horizontal positional accuracy of the DRG matches the accuracy of the published source map. To be consistent with other USGS digital data, the image is cast on the UTM projection, and therefore, will not always be consistent with the credit note on the image collar. Only the area inside the map neatline is georeferenced, so minor distortion of the text may occur in the map collar. Refer to the scanned map collar or online Map List for the currentness of the DRG.”