The electrical conductivity of the earth is used to help infer lithological and pore fluid properties. Various geophysical methods can provide estimates of the distribution of below ground electrical conductivity, with each method having certain limitations. This data release presents raw and processed results from land-based and water-based frequency domain electromagnetic induction imaging (EMI) data collected from March 31 to April 2, 2015. Data were primarily collected by walking throughout the wetland and riparian zones with the GEM-2 instrument (Geophex, Ltd.) at approximately 1 m off the ground in horizontal coplanar (ski flat) mode.
A survey along a section of the Colorado River in a kayak was also collected (with approximate 0.3 m of elevation above the water surface).

Surface electrical resistivity tomography (ERT), electromagnetic induction (EMI), and self-potential (SP) data were acquired March 9 - 20, 2018 by the U.S. Geological Survey, in collaboration with the U.S. Army Corps of Engineers, at the Jim Woodruff Lock and Dam near Chattahoochee, Florida. Frequency-domain electromagnetic induction data were acquired along approximately 9 line-kilometers with the Geophex GEM-2 system to map variations in structure up to about 10 m in depth. This data release includes the raw and processed frequency-dependent in-phase and quadrature data. They are provided as digital data, and data fields are defined in the data dictionary (https://www.sciencebase.gov/catalog/item/5e101094e4b0b207aa163768). Jim Woodruff Lock and Dam is located on the Apalachicola River just south of the confluence of the Flint and Chattahoochee Rivers along the Florida-Georgia border. Construction was completed in 1954 and impounds Lake Seminole. The dam has a long history of excessive seepage along the right abutment and below the fixed-crest spillway. Several karst features have been mapped over the years including sinkholes, both on land and along the lake bottom, and disappearing and reappearing streams. Such features were excavated and grouted during construction. Despite years of investigation of the dam foundation, there remains uncertainty on the flowpaths of water below the fixed-crest spillway and along the adjacent right abutment. REFERENCE Abraham, J.D., Deszcz-Pan, M., Fitterman, D.V., and Burton, B.L., 2006, Use of a handheld broadband EM induction system for deriving resistivity depth images, in 19th Annual Symposium on the Application of Geophysics to Engineering and Environmental Problems, Seattle, Washington, April 2–6, 2006, 18 p.

Bottom-up approach – Data is compiled at the individual CCUS & Hydrogen project, allowing the user to drill down and interrogate the forecast – Complete transparency on the infrastructure and projects driving demand

Flexible delivery – Our database is updated daily, ready to be delivered on an ad-hoc basis – Monthly, quarterly or semi-annual update cycles available, depending on the user’s workflow – No user licences. Your entire organisation can use the data

Hand-carried frequency domain electromagnetic imaging (EMI) data were collected along the Sanuit River to indicate changes in streambed water quality and/or near surface sediments. These data are to be used in conjunction with fiber-optic distributed temperature sensing (FO-DTS) and ground penetrating radar (GPR) data. The combined dataset represents point in time mapping of preferential groundwater discharge points (FO-DTS), and the bed structure that controls where these points are located (GPR, EMI).

Bottom-up approach – Data is compiled at the individual fixed platform level, allowing the user to drill down and interrogate the forecast – Complete transparency on the infrastructure and projects driving demand

Data granularity – Gain access to thousands of upcoming and existing offshore platforms – Segment your market with criteria incl. Platform status, platform functionality, country, region, water depth, topside weight, operator etc.

FID centric structure – Track platform construction through its entire project life-cycle; from Pre-FID and Pre-Feed stages, to installation and decommissioning – Each platform facility is mapped to a specific final investment decision and project, allowing the user to separate multi-phase construction awards

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Flexible delivery – Our database is updated daily, ready to be delivered on an ad-hoc basis – Monthly, quarterly or semi-annual update cycles available, depending on the user’s workflow – No user licences. Your entire organization can use the data

Client customisation – Access only the market segments that you really need (i.e. specific geographies or project types) – Tailor the data to mirror the structure of your organization with client-defined columns – CRM Integration; we map our data to your opportunities

The electrical conductivity of the earth is used to help infer lithological and pore fluid properties. Various geophysical methods can provide estimates of the distribution of below ground electrical conductivity, with each method having certain limitations. This data release presents raw and processed results from land-based and water-based frequency domain electromagnetic induction (EMI) data collected from August 23, 2017 to August 28, 2017. The raw data consist of .csv files from the Geophex GEM-2 unit. Data were primarily collected by walking with the instrument at approximately 1 m off the ground in horizontal coplanar (ski flat) mode. A survey along a section of the Little Wind River in a kayak (with about 0.3 m of elevation above the water surface) was also collected.

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This data release presents raw (.csv) and processed (.csv) data files from land-based, frequency-domain electromagnetic induction (EMI) data collected at Bicycle Basin, U.S. Army Fort Irwin National Training Center, California. Data were collected during three distinct time periods: March 19, 2008 (1 survey), December 1 to December 5, 2014 (46 surveys) and December 4 to December 8, 2015 (62 surveys). Data were collected by walking along survey lines throughout the airstrip region of the basin with the Geophex GEM-2 instrument at a height of approximately 1 meter above land surface in horizontal coplanar (ski flat) mode.

Bottom-up approach – Data is compiled at the individual floating production facility, allowing the user to drill down and interrogate the forecast – Complete transparency on the infrastructure and projects driving demand

Data granularity – Gain access to 600+ upcoming and existing floating production platforms – Segment your market with criteria incl. Platform status, type, country, region, water depth, hull-shape, mooring type, operator, FPSO owner etc. – Our data coverage is symmetrical across the globe

FID centric structure – Track platform construction through its entire project life-cycle; from Pre-FID and Pre-Feed stages, to installation and decommissioning – Each floating facility is mapped to a specific final investment decision and project; allowing the user to separate multi-phase construction awards

Supply chain focused – Optimised to fit in the workflow of the EPC and installation contractors – Transport and installation providers get access to sector specific views such as transportation method and hull-shape – Logistics and crew transfer providers can drill down to metrics such as platform crew count and distances from heliport or shore

Flexible delivery – Our database is updated daily, ready to be delivered on an ad-hoc basis – Monthly, quarterly or semi-annual update cycles available, depending on the user’s workflow – No user licences. Your entire organisation can use the data

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This dataset includes lake total phosphorus (TP), true water color, and chlorophyll a (CHLa) concentrations from summer, epilimnetic water samples and is a subset of the larger LAGOS database (Lake multi-scaled geospatial and temporal database, described in Soranno et al. 2015). LAGOS compiles multiple, individual lake water chemistry datasets into an integrated database. We accessed LAGOSLIMNO version 1.040.0 for lake water chemistry data and LAGOSGEO version 1.02 for lake catchment geographic data. In the LAGOSLIMNO database, lake water chemistry data were collected from individual state agency sampling and volunteer programs designed to monitor lake water quality. Water chemistry analyses follow standard lab methods. In the LAGOSGEO database geographic data were collected from national scale geographic information systems (GIS) data layers. Lake catchments, defined as 'The area of land that drains directly into a lake, and into all upstream-connected, permanent streams to that lake exclusive of any upstream lake watersheds for lakes greater than or equal to 10 ha that are connected via permanent streams', were delineated for lakes greater than or equal to 4 ha. Lake-stream connectivity type was assigned to lakes greater than or equal to 4 ha using GIS tools that use the National Hydrology Dataset (See Soranno et al. 2015 for LAGOS geographic processing steps). A subset of lake and geographic data was created to examine spatial variation in TP and water color relationships with CHLa across broad geographic extents using spatially-varying coefficient models with a Bayesian framework. Lakes were selected that had complete records for summer epilimnetic total TP, true water color, and CHLa. In addition we selected lakes with surface area greater than or equal to 4 ha and less than 10,000 ha to exclude very small and very large lakes from the analyses. The resulting dataset includes 838 lakes in Wisconsin, Michigan, New York, and Maine with 7395 observations. The majority of lakes in the data subset have only one water chemistry observation (~72% of lakes). There are 228 lakes with more than one water chemistry observation taken on different sampling occasions over time (average of 29 observations per lake with repeated measures). The dataset reports the original, individual measurements. The proportion of agriculture and wetlands in the lake catchment were derived from land cover and land use data in the National Land Cover Dataset (2006). For the analyses we withheld ten percent of the observations for model validation and to assess prediction accuracy. The remaining observations were used in the model building steps. The 'dataset' column in the data indicates whether the observation belongs to the model-building ('mb') or hold-out dataset ('h').

The electrical conductivity of the earth is used to help infer lithological and pore fluid properties. Various geophysical methods can provide estimates of the distribution of below ground electrical conductivity, with each method having certain limitations. This data release presents raw and processed results from hand-caried frequency domain electromagnetic induction imaging (EMI) data collected from June 27-28 along Blacktail Creek near Williston, North Dakota. Data were primarily collected by walking in the creek or along the riparian zones with the GEM-2 instrument (Geophex, Ltd.) at approximately 0.5 m off the ground in horizontal coplanar (ski flat) mode.

16792 Global import shipment records of Emi Shield with prices, volume & current Buyer's suppliers relationships based on actual Global export trade database.

This dataset provides information about the number of properties, residents, and average property values for Emi Street cross streets in Damascus, OR.

Access Emi Filter import export data of global countries with importers' & exporters' details, shipment date, price, hs code, ports, quantity etc.

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Emi Global Corp Dwc Llc Company Export Import Records. Follow the Eximpedia platform for HS code, importer-exporter records, and customs shipment details.