The NGS Survey Control Map provides a map of the US which allows you to find and display geodetic survey control points stored in the database of the National Geodetic Survey and access the geodetic control data sheets associated with the points. Data sheets are in ASCII format and show precise latitude and longitude, orthometric heights, and gravity data for individual survey control points.
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Feature Service for NOAA's National Geodetic Survey Datasheets. This data contains a set of geodetic control stations maintained by the National Geodetic Survey. Each geodetic control station in this dataset has either a precise Latitude/Longitude used for horizontal control or a precise Orthometric Height used for vertical control, or both. The National Geodetic Survey (NGS) serves as the Nation's depository for geodetic data. The NGS distributes geodetic data worldwide to a variety of users. These geodetic data include the final results of geodetic surveys, software programs to format, compute, verify, and adjust original survey observations or to convert values from one geodetic datum to another, and publications that describe how to obtain and use geodetic data products and services.
This layer represents the location of high-order geodetic monuments set by Prince William County. These monuments are placed throughout the County and are used as anchoring points for land surveyors. There are 17 recorded points in the data layer. Its attribute information includes fields such as ownership, latitude, longitude, elevation, and station name for the particular monument on the day it was set. The 17 Monuments are B Order and set by Prince William County in 2001. They are Blue Booked with the National Geodetic Survey (NGS) within the National Ocean and Atmospheric Administration (NOAA) the detailed information and monument data sheets can be found at - https://geodesy.noaa.gov/datasheets/ . The NGS monument designations are PW01 through PW17.
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This dataset is an excel file that summarises information of patients that found potential causal variant(s) or VUS(s) incompatible with the clinical diagnosis. It includes patients' gender, symptom onset age, age at last follow-up, clinical presentation, provisional clinical diagnosis, prior genetic test and results, availability of the WES and WGS data, and WES and WGS of their parents.
The first sheet is the patients that found potential causal variants. The last three columns are the identified potential causal variants, gene of the variants, inheritance model, ACMG guideline classification of the variants.
The second sheet is the patients found VUS(s) incompatible with the clinical diagnosis. The last three columns are the identified VUS(s) incompatible with the clinical diagnosis, gene of the VUS(s), ACMG guideline classification of the VUS(s).
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The global clinical next-generation sequencing (NGS) data analysis industry is valued at USD 3.17 billion in 2025. It is expected to grow at a CAGR of 17.4% and reach USD 15.77 billion by 2035. Key trends in global clinical NGS data analysis reflect how next-generation sequencing (NGS) has significantly impacted molecular biology. However, the most difficult and time-consuming part of this progress is analyzing the clinical data that comes with NGS.
Metric | Value |
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Industry Size (2025E) | USD 3.17 billion |
Industry Size (2035F) | USD 15.77 billion |
CAGR (2025 to 2035) | 17.4% |
The primary purpose of this dataset is to provide VCRLTER researchers and students with a convenient and comprehensive set of historical NOS t-sheet shorelines spanning the full Virginia Eastern Shore in a single GIS data layer. From NOAA-NOS-NGS source metadata: "These shoreline data represent a vector conversion of a set of NOS raster shoreline manuscripts identified by t-sheet or tp-sheet numbers. These vector data were created by contractors for NOS who vectorized georeferenced raster shoreline manuscripts using Environmental Systems Research Institute, Inc. (ESRI)(r), ArcInfo's(r) ArcScan(r) software to create individual ArcInfo coverages. The individual coverages were ultimately edgematched within a surveyed project area and appended together. The NOAA NESDIS Environmental Data Rescue Program (EDRP) funded this project. The NOAA National Ocean Service, Coastal Services Center, developed the procedures used in this project and was responsible for project oversight. The project intent was to rescue valuable historical data and make it accessible and useful to the coastal mapping community. This process involved the conversion of original analog products to digital mapping products. This file is a further conversion of that product from a raster to a vector product that may be useful for Electronic Charting and Display Information Systems (ECDIS) and geographic information systems (GIS)." Original NOAA-NOS-NGS data were organized by project, with each project containing a single shapefile containing the historical shoreline features from multiple T-sheets based on surveys from roughly the same time period. There were 43 projects containing information from 208 T-sheets and TP-sheets that were found to cover the Eastern Shore of VA and southern MD and ranging in time from 1847 to 1978 (plus one set of shorelines from 2009 for the new Chincoteague bridge and the immediate surrounding area). VCRLTER staff combined these 43 shapefiles into a single shapefile with an added "PROJID" attribute to identify the source project. This shoreline dataset compliments and overlaps other VCRLTER shoreline datasets for the Virginia barrier islands that contain historical shorelines derived from a combination of sources, including: a subset of the included NOS t-sheets (digitized by VCRLTER researchers prior to availability in digital format from NOAA-NOS-NGS); NOAA coastal change maps; photointerpretation of aerial photos (from USGS, USACE, VITA-VGIN-VBMP, and others), and satellite imagery (from ETM+ Landsat 7 and IKONOS); and GPS surveys.
This is a vector point dataset that represents survey monument features within Great Smoky Mountains National Park. It provides useful information for park staff and who are working on construction projects or boundary management activities. It also provides useful information for the public, such as boundary monument location information for state-licensed surveyors working on property surveys adjoining NPS lands. The NPS Monuments layer was initially created on 08/06/2010 using ArcMap 9.3 by generating point features from coordinate pairs provided by Denver Service Center (DSC) survey project deliverable files. Scanned monument record sheets or survey plats are hyperlinked to each point feature. Detailed attributes include point source, coordinate values, expected accuracies and date/time information. The NGS Monuments layer is a subset of the National Geodetic Survey monuments layer. The Boundary Markers layer is managed and maintained by the Great Smoky Mountains National Park Land Surveyor. The goal of this dataset is to provide survey information to help reduce redundancies and costs for construction projects, boundary surveys and boundary management.The corresponding Integration of Resource Management Applications (IRMA) NPS Data Store reference is Great Smoky Mountains National Park Monuments.
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The global NGS data analysis market is forecasted to reach a value of US$ 2.03 billion by the end of 2034, up from US$ 746.9 million in 2024. This increase equals to 10.5% CAGR for the next ten years (2024 to 2034). Rigorous technological advancements in the field of data generation, integration, storage, and access as well as cloud computing solutions aid in overcoming data-handling constraints, which requires evaluating enormous amounts of high-throughput sequence data.
Report Attributes | Details |
---|---|
NGS Data Analysis Market Size (2024E) | US$ 746.9 Million |
Projected Market Value (2034F) | US$ 2.03 Billion |
Global Market Growth Rate (2024 to 2034) | 10.5% CAGR |
China Market Value (2024E) | US$ 56 Million |
Canada Market Growth Rate (2024 to 2034) | 14.2% CAGR |
North America Market Share (2024E) | 36% |
East Asia Market Value (2034F) | US$ 381.7 Million |
Key Companies Profiled |
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Country-wise Insights
Attribute | United States |
---|---|
Market Value (2024E) | US$ 233.8 Million |
Growth Rate (2024 to 2034) | 10.8% CAGR |
Projected Value (2034F) | US$ 651.9 Million |
Attribute | China |
---|---|
Market Value (2024E) | US$ 56 Million |
Growth Rate (2024 to 2034) | 15.5% CAGR |
Projected Value (2034F) | US$ 237.3 Million |
Category-wise Insights
Attribute | Whole-Genome Sequencing |
---|---|
Segment Value (2024E) | US$ 213.6 Million |
Growth Rate (2024 to 2034) | 11.6% CAGR |
Projected Value (2034F) | US$ 642.8 Million |
Attribute | Academic Research Institutes |
---|---|
Segment Value (2024E) | US$ 234.6 Million |
Growth Rate (2024 to 2034) | 11.5% CAGR |
Projected Value (2034F) | US$ 694.1 Million |
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This is a revised supplementary file and it includes additional data sheets to explain the results in a better way.
Images of National Coast & Geodetic Survey (now NOAA's National Geodetic Survey/NGS) tidal benchmarks which have been superseded by new markers or locations. Period of record is 1830-1984. Scanned under the Climate Database Modernization Program.
The values for the City of Richardson GPS Control Network were established using Static data collection procedures during the month of February 2020. CP&Y, Inc., in conjunction with the City of Richardson set all 3-1/4 inch domed aluminum monuments throughout the City at designated key areas. All fieldwork and post processing were performed by CP&Y, Inc. Final data sheets were published after consultation with the City of Richardson. Horizontal State Plane Coordinates (SPC) are on the Lambert Projection System — NAD83 (CORS96) — Texas Coordinate System (Texas North Central Zone 4202). A position was derived using the National Geodetic Service (NGS) Online Positioning User Service (OPUS) position for Monument No. 116 (previously City of Richardson Monument H7) near the center of Richardson, as a base point. All other monuments within the City of Richardson were tied to a constellation of multiple observations (baselines) using 3 GPS receivers from this base point location. The vectors were assembled into a three-dimensional network least squares model using the Trimble Business Center® software. A minimally constrained adjustment proved the integrity of the vector data. The positions of four Continuously Operating Reference Stations (CORS) in the NGS network were included in the project as control and the vectors from each of these stations were used to develop coordinates for Monument No. 116. The resulting coordinate values for all stations matched the OPUS solution and separate vector data corrected from the Trimble RTKNet. The dual-frequency vectors were added to the project to obtain coordinates for all stations for publication. Vertical values are NAVD88 elevations and validated by the City of Richardson Control Network generated in 1990, OPUS, and Trimble RTKNet datums. The 1990 City of Richardson Control Network was previously adjusted to the Federal Emergency Management Agency (FEMA) with GPS Static observations on U.S. Coast & Geodetic Survey Monuments M923 and S923. All GPS derived elevations were computed using a Geoid Model (GEOID12B). In summary, CP&Y, Inc. provided the City of Richardson with a GPS Control Network based on the position of Monument No. 116 and its elevation verified from the City of Richardson 1990 Control Network. All data sheets will show State Plane Coordinates in both Geodetic and Grid formats. The horizontal data is referenced to NAD83 Texas North Central Zone- 4202, in both U.S. Survey feet and meters. Vertical data is referenced to NAVD88 elevations.
The values for the City of Richardson GPS Control Network were established using Static data collection procedures during the month of February 2020. CP&Y, Inc., in conjunction with the City of Richardson set all 3-1/4 inch domed aluminum monuments throughout the City at designated key areas. All fieldwork and post processing were performed by CP&Y, Inc. Final data sheets were published after consultation with the City of Richardson. Horizontal State Plane Coordinates (SPC) are on the Lambert Projection System — NAD83 (CORS96) — Texas Coordinate System (Texas North Central Zone 4202). A position was derived using the National Geodetic Service (NGS) Online Positioning User Service (OPUS) position for Monument No. 116 (previously City of Richardson Monument H7) near the center of Richardson, as a base point. All other monuments within the City of Richardson were tied to a constellation of multiple observations (baselines) using 3 GPS receivers from this base point location. The vectors were assembled into a three-dimensional network least squares model using the Trimble Business Center® software. A minimally constrained adjustment proved the integrity of the vector data. The positions of four Continuously Operating Reference Stations (CORS) in the NGS network were included in the project as control and the vectors from each of these stations were used to develop coordinates for Monument No. 116. The resulting coordinate values for all stations matched the OPUS solution and separate vector data corrected from the Trimble RTKNet. The dual-frequency vectors were added to the project to obtain coordinates for all stations for publication. Vertical values are NAVD88 elevations and validated by the City of Richardson Control Network generated in 1990, OPUS, and Trimble RTKNet datums. The 1990 City of Richardson Control Network was previously adjusted to the Federal Emergency Management Agency (FEMA) with GPS Static observations on U.S. Coast & Geodetic Survey Monuments M923 and S923. All GPS derived elevations were computed using a Geoid Model (GEOID12B). In summary, CP&Y, Inc. provided the City of Richardson with a GPS Control Network based on the position of Monument No. 116 and its elevation verified from the City of Richardson 1990 Control Network. All data sheets will show State Plane Coordinates in both Geodetic and Grid formats. The horizontal data is referenced to NAD83 Texas North Central Zone- 4202, in both U.S. Survey feet and meters. Vertical data is referenced to NAVD88 elevations.
The United States Geological Survey (USGS), in collaboration with other state and federal agencies, industry, and academia, is conducting a National Geochemical Survey (NGS) to produce a database of geochemical information for the United States based primarily on stream sediments, analyzed using a single set of methods. This data set will comprise a national-scale geochemical coverage of the US, and will enable construction of geochemical maps, refine estimates of baseline chemical element concentrations in the sampled media, and provide context for a wide variety of geological and environmental studies. The goal of the NGS is to analyze at least one stream-sediment sample within every 289 km2 area across the US, using a consistent set of analytical methods, substituting soil samples where necessary. The survey incorporates geochemical data from a variety of sources, including existing analyses in USGS databases, reanalyses of samples in USGS archives, and analyses of recently collected samples. Currently, the NGS data covers ~71% of the land area of the US, and includes samples from all 50 states. The Iowa Geological Survey (IGS) of the Iowa Department of Natural Resources (IDNR) entered into an agreement with the USGS in September of 2002 whereby the IGS would design a database for field parameters and collect two soil sample sets. One set for the USGS to process and analyze, and one set to reposit. Field parameters included ambient site conditions, GPS location, elevation, landscape position, vegetation type, NRCS soil type, sample depth, and soil horizon, texture, color and moisture. Digital photographs were taken of the site and samples at each location. The samples were sieved to -100 mesh, then analyzed for 40 elements using inductively coupled plasma-atomic emission spectrometry/acid dissolution (ICP40), and 6 elements using atomic absorption spectrometry (AA). Arsenic (As) and gold (Au) were analyzed for using both methods. Analyses were performed by the USGS or an approved laboratory, using standard methods and an U.S.E.P.A. approved quality assurance/quality control plan. To maximize statistical reliability, sample collection in Iowa was based on a 17 km x 17 km grid, displayed on USGS 1:250,000 quad maps. Each grid or cell was identified by quad name and cell column and row position, and divided into four 72 km2 quadrants, and one was selected at random for sampling. The IGS selected specific sampling sites within the selected quadrants. To separate leached horizons from those accumulating CO3, one shallow (0-8 inches) and one deep (12-24 inches) sample were collected from 463 regular and 72 analysis of variance (AOV) sites from May through August of 2003 and shipped to the USGS in August. Randomly selected AOV sites were sampled to provide a data set for statistical analysis to test the adequacy of the samples to measure differences of sediment chemistry between cells, within cells, within sites, and between chemical analyses. "AOV1" was collected within the designated quadrant of the cell, then one of the three other quadrants of the cell were selected at random for "AOV2" and "AOV3" which were collected about 10 feet apart, preferably within the same soil type. The field data were described on data collection sheets and later transferred to the IGS network through an entry routine on a daily to weekly basis. The DBASE entry routine and database were developed and maintained by IGS personnel, then after the analyses were performed, the data were joined with the soil sample analyses by USGS personnel. The joined database can be accessed at the IGS website at http://www.igsb.uiowa.edu, and for a detailed description of the NGS, visit the USGS website at http://tin.er.usgs.gov/geochem/doc/home.htm
The USGS, in collaboration with other federal and state government agencies, industry, and academia, is conducting the National Geochemical Survey (NGS) to produce a body of geochemical data for the United States based primarily on stream sediments, analyzed using a consistent set of methods. These data will compose a complete, national-scale geochemical coverage of the US, and will enable construction of geochemical maps, refine estimates of baseline concentrations of chemical elements in the sampled media, and provide context for a wide variety of studies in the geological and environmental sciences. The goal of the NGS is to analyze at least one stream-sediment sample in every 289 km2 area by a single set of analytical methods across the entire nation, with other solid sample media substituted where necessary. The NGS incorporates geochemical data from a variety of sources, including existing analyses in USGS databases, reanalyses of samples in USGS archives, and analyses of newly collected samples. At the present time, the NGS includes data covering ~71% of the land area of the US, including samples in all 50 states. This version of the online report provides complete access to NGS data, describes the history of the project, the methodology used, and presents preliminary geochemical maps for all analyzed elements. Future editions of this and other related reports will include the results of analysis of variance studies, as well as interpretive products related to the NGS data. This database provides in digital form many geochemical analyses reported by USGS in its published literature.
This Basic Viewer is intended to allow users to view datasets maintained by NYS Geospatial Services. These layers are pre-loaded -- to explore our datasets, select the “Layers” button. Visitors can also add data from the GIS Clearinghouse, URL data layers, or their own local GIS data by selecting the “Add Data” button. Where counties share their parcel data, parcels may be viewed as well.The Basic Viewer App now includes a Surveyor Bookmark with reference data and survey information. This bookmark allows for a quick way to display data and layers that Surveyors may find useful - NOAA CORS, NGS Sheets, Hillshade, and more.
Under the direction and funding of the National Cooperative Mapping Program with guidance and encouragement from the United States Geological Survey (USGS), a digital database of three-dimensional (3D) vector data, displayed as two-dimensional (2D) data-extent bounding polygons. This geodatabase is to act as a virtual and digital inventory of 3D structure contour and isopach vector data for the USGS National Geologic Synthesis (NGS) team. This data will be available visually through a USGS web application and can be queried using complimentary nonspatial tables associated with each data harboring polygon. This initial publication contains 60 datasets collected directly from USGS specific publications and federal repositories. Further publications of dataset collections in versioned releases will be annotated in additional appendices, respectfully. These datasets can be identified from their specific version through their nonspatial tables. This digital dataset contains spatial extents of the 2D geologic vector data as polygon features that are attributed with unique identifiers that link the spatial data to nonspatial tables that define the data sources used and describe various aspects of each published model. The nonspatial DataSources table includes full citation and URL address for both published model reports, any digital model data released as a separate publication, and input type of vector data, using several classification schemes. A tabular glossary defines terms used in the dataset. A tabular data dictionary describes the entity and attribute information for all attributes of the geospatial data and the accompanying nonspatial tables.
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The NGS Survey Control Map provides a map of the US which allows you to find and display geodetic survey control points stored in the database of the National Geodetic Survey and access the geodetic control data sheets associated with the points. Data sheets are in ASCII format and show precise latitude and longitude, orthometric heights, and gravity data for individual survey control points.