8 datasets found
  1. K

    Barren River Area Development District, Kentucky Natural Gas Pipelines

    • koordinates.com
    csv, dwg, geodatabase +6
    Updated Nov 16, 2022
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    Barren River Area Development District, Kentucky (2022). Barren River Area Development District, Kentucky Natural Gas Pipelines [Dataset]. https://koordinates.com/layer/111020-barren-river-area-development-district-kentucky-natural-gas-pipelines/
    Explore at:
    mapinfo mif, geopackage / sqlite, pdf, mapinfo tab, dwg, csv, shapefile, geodatabase, kmlAvailable download formats
    Dataset updated
    Nov 16, 2022
    Dataset authored and provided by
    Barren River Area Development District, Kentucky
    Area covered
    Description

    Geospatial data about Barren River Area Development District, Kentucky Natural Gas Pipelines. Export to CAD, GIS, PDF, CSV and access via API.

  2. a

    Development Pipeline Map

    • arc-gis-hub-home-arcgishub.hub.arcgis.com
    Updated Apr 25, 2018
    + more versions
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    City of SeaTac (2018). Development Pipeline Map [Dataset]. https://arc-gis-hub-home-arcgishub.hub.arcgis.com/datasets/cityofseatac::development-pipeline-map
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    Dataset updated
    Apr 25, 2018
    Dataset authored and provided by
    City of SeaTac
    Description

    Incorporated in February 1990, the City of SeaTac is located in the Pacific Northwest, approximately midway between the cities of Seattle and Tacoma in the State of Washington. SeaTac is a vibrant community, economically strong, environmentally sensitive, and people-oriented. The City boundaries surround the Seattle-Tacoma International Airport, (approximately 3 square miles in area) which is owned and operated by the Port of Seattle. For additional information regarding the City of SeaTac, its people, or services, please visit https://www.seatacwa.gov. For additional information regarding City GIS data or maps, please visit https://www.seatacwa.gov/our-city/maps-and-gis.

  3. Geospatial Services, Solutions (Expertise resources 800+ GIS Engineers)

    • datarade.ai
    Updated Dec 3, 2021
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    MapMyIndia (2021). Geospatial Services, Solutions (Expertise resources 800+ GIS Engineers) [Dataset]. https://datarade.ai/data-products/geospatial-services-solutions-expertise-resources-800-gis-mapmyindia
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    Dataset updated
    Dec 3, 2021
    Dataset provided by
    MapmyIndiahttps://www.mapmyindia.com/
    Authors
    MapMyIndia
    Area covered
    Estonia, United Republic of, South Sudan, United States of America, Ascension and Tristan da Cunha, Niger, Burkina Faso, Congo, Comoros, Nigeria
    Description

    800+ GIS Engineers with 25+ years of experience in geospatial, We provide following as Advance Geospatial Services:

    Analytics (AI) Change detection Feature extraction Road assets inventory Utility assets inventory Map data production Geodatabase generation Map data Processing /Classifications
    Contour Map Generation Analytics (AI) Change Detection Feature Extraction Imagery Data Processing Ortho mosaic Ortho rectification Digital Ortho Mapping Ortho photo Generation Analytics (Geo AI) Change Detection Map Production Web application development Software testing Data migration Platform development

    AI-Assisted Data Mapping Pipeline AI models trained on millions of images are used to predict traffic signs, road markings , lanes for better and faster data processing

    Our Value Differentiator

    Experience & Expertise -More than Two decade in Map making business with 800+ GIS expertise -Building world class products with our expertise service division & skilled project management -International Brand “Mappls” in California USA, focused on “Advance -Geospatial Services & Autonomous drive Solutions”

    Value Added Services -Production environment with continuous improvement culture -Key metrics driven production processes to align customer’s goals and deliverables -Transparency & visibility to all stakeholder -Technology adaptation by culture

    Flexibility -Customer driven resource management processes -Flexible resource management processes to ramp-up & ramp-down within short span of time -Robust training processes to address scope and specification changes -Priority driven project execution and management -Flexible IT environment inline with critical requirements of projects

    Quality First -Delivering high quality & cost effective services -Business continuity process in place to address situation like Covid-19/ natural disasters -Secure & certified infrastructure with highly skilled resources and management -Dedicated SME team to ensure project quality, specification & deliverables

  4. a

    Global Oil and Gas Features

    • hub.arcgis.com
    • maps-cadoc.opendata.arcgis.com
    • +1more
    Updated Nov 25, 2020
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    Oil Spill Response Ltd (2020). Global Oil and Gas Features [Dataset]. https://hub.arcgis.com/maps/ef2d703fcf43426ba4a6108001974570
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    Dataset updated
    Nov 25, 2020
    Dataset authored and provided by
    Oil Spill Response Ltd
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Description

    Version: GOGI_V10_2This data was downloaded as a File Geodatabse from EDX at https://edx.netl.doe.gov/dataset/global-oil-gas-features-database. This data was developed using a combination of big data computing, custom search and data integration algorithms, and expert driven search to collect open oil and gas data resources worldwide. This approach identified over 380 data sets and integrated more than 4.8 million features into the GOGI database.Access the technical report describing how this database was produced using the following link: https://edx.netl.doe.gov/dataset/development-of-an-open-global-oil-and-gas-infrastructure-inventory-and-geodatabase” Acknowledgements: This work was funded under the Climate and Clean Air Coalition (CCAC) Oil and Gas Methane Science Studies. The studies are managed by United Nations Environment in collaboration with the Office of the Chief Scientist, Steven Hamburg of the Environmental Defense Fund. Funding was provided by the Environmental Defense Fund, OGCI Companies (Shell, BP, ENI, Petrobras, Repsol, Total, Equinor, CNPC, Saudi Aramco, Exxon, Oxy, Chevron, Pemex) and CCAC.Link to SourcePoint of Contact: Jennifer Bauer email:jennifer.bauer@netl.doe.govMichael D Sabbatino email:michael.sabbatino@netl.doe.gov

  5. V

    Development Tracking Points

    • data.virginia.gov
    csv, kml, zip
    Updated Jul 12, 2024
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    Arlington GIS Portal (2024). Development Tracking Points [Dataset]. https://data.virginia.gov/dataset/development-tracking-points
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    kml, csv, zipAvailable download formats
    Dataset updated
    Jul 12, 2024
    Dataset provided by
    Arlington County, VA - GIS Mapping Center
    Authors
    Arlington GIS Portal
    Description

    Locations where development is occurring or has occurred in Arlington County. The data contains attributes such as the project name, status, address, size of the project by type, and various dates of occurrence of various statuses of the development. This data can be used to determine what is in the development pipeline and what developments have been completed.

    Contact: Department of Environmental Services

    Data Accessibility: Publicly Available

    Update Frequency: As Needed

    Last Revision Date: 7/11/2024

    Creation Date: 12/12/2023

    Feature Dataset Name: CPHD

    Layer Name: Dev_Tracking_pnt

  6. Global Oil and Gas Software Market By Software Type (Exploration and...

    • verifiedmarketresearch.com
    Updated Sep 22, 2024
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    VERIFIED MARKET RESEARCH (2024). Global Oil and Gas Software Market By Software Type (Exploration and Production (E&P) Software, Field Development Software, Production Software, Reservoir Management Software, Drilling and Well Construction Software, Asset Integrity Software, Pipeline Management Software, Supply Chain Management (SCM) Software, Geographic Information System (GIS) Software), By Deployment Model (On-Premises, Cloud-based, Hybrid), By End User (Oil Companies, Gas Companies, Oilfield Services Companies, Engineering, Procurement, and Construction (EPC) Companies), By Geographic Scope and Forecast [Dataset]. https://www.verifiedmarketresearch.com/product/oil-and-gas-software-market/
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    Dataset updated
    Sep 22, 2024
    Dataset provided by
    Verified Market Researchhttps://www.verifiedmarketresearch.com/
    Authors
    VERIFIED MARKET RESEARCH
    License

    https://www.verifiedmarketresearch.com/privacy-policy/https://www.verifiedmarketresearch.com/privacy-policy/

    Time period covered
    2024 - 2031
    Area covered
    Global
    Description

    Global Oil and Gas Software Market Size and Forecast

    Global Oil and Gas Software Market size was valued at USD 1.25 Billion in 2024 and is projected to reach USD 2.03 Billion by 2031, growing at a CAGR of 6.89% from 2024 to 2031.

    Global Oil And Gas Software Market Drivers

    Increasing focus on operational efficiency: Oil and gas companies are constantly seeking ways to improve their operational efficiency and reduce costs. Software solutions can help optimize various aspects of the value chain, from exploration and production to refining and distribution.

    Advancements in technology: The development of new technologies, such as data analytics, cloud computing, and artificial intelligence, is enabling more sophisticated and effective software solutions for the oil and gas industry.

    Rising energy demand: The growing global demand for energy, particularly in developing economies, is driving the need for advanced software solutions to manage and optimize energy resources.

    Global Oil And Gas Software Market Restraints

    High initial investment: Implementing oil and gas software solutions can require a significant upfront investment, which may be a barrier for some companies.

    Data quality and availability: The accuracy and completeness of data are critical for effective software solutions. However, collecting and managing data in the oil and gas industry can be challenging.

  7. a

    High Resolution Streams

    • road-stream-crossings-ulstercounty.hub.arcgis.com
    Updated Jul 22, 2022
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    Ulster County, NY (2022). High Resolution Streams [Dataset]. https://road-stream-crossings-ulstercounty.hub.arcgis.com/datasets/high-resolution-streams
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    Dataset updated
    Jul 22, 2022
    Dataset authored and provided by
    Ulster County, NY
    License

    MIT Licensehttps://opensource.org/licenses/MIT
    License information was derived automatically

    Area covered
    Description

    This dataset is a combination of 2 data projects: 1- Data were updated within NYC watershed portions using 1m resolution LiDAR and 1ft orthoimagery collected in 2009 as part of the NYS Digital Ortho Program under contract with NYCDEP under CAT-371.For NYC reservoir areas only: NYCDEP BWS GIS Staff (T. Spies) edited all artificial path and stream transitions to snap exactly to polygon edges representing NYC reservoirs, where those areas were updated by NYCDEP for correct inundation area based on spillway elevation.QA edits to NHD hydrography, including this feature class, were also made where needed based on field verification and correction of the NYCbasin1m boundary.As an additional departure from standard NHD to meet DEP’s needs, DEP GIS staff attributed all flowlines by their respective NYC reservoir basin and NYC water supply “region” as defined in the feature class “NYCbasin1m”. This was done using the “select by location” tool rather than “identity” tool, so as not to split any flowlines across boundaries. Any flowlines crossing basin boundaries in error were corrected by splitting the lines and snapping their endpoints to the appropriate spillway or basin edge instead. After these edits were made, a new geometric network was built to test and ensure all flowlines in the entire dataset were correctly connected so that they can be used for routing.2- Data was updated within portions of Ulster County outside the NYC watershed using NYS 1ft orthoimagery collected in 2013 and multiple Elevation datasets (2013 NYS DEC 1m Lidar Hudson River, 2005 NYS DEC 3m Lidar Ulster Stream Corridors, 1992 USGS 10m Digital Elevation Model (DEM)).Primary quality control was performed visually using enhanced symbology and supporting reference data. A detailed QC checklist is provided in the QC report. Specific emphasis was placed on the areas bordering the NYC Watershed and the areas encompassed by the Town of Woodstock’s local hydrography data. To the extent connections occurred, the data captured on this project was “snapped” to the corresponding locations in the NYC Watershed so that the data could be seamlessly integrated. The hydrography data from the Town of Woodstock, however, was inconsistent when applied to the data capture protocol. Many locally derived features did not appear to be supported by the source data (i.e., they did not exist) and were not included. All visual inspections were made at 1:1000 scale or better. During data capture, the Data Capture Analyst used a separate point feature class named “Flags” to identify locations where there may have been some interpretation or confusion. Later, the QC Analyst also used additional bookmarks in ArcGIS to track locations where additional investigation or interpretation was required. Finally, after an initial pass through the data, the QC Analyst evaluated and resolved all such flags and bookmarks, collaborating with the Data Capture Analyst as necessary to discuss findings and resolve questions.As data was completed, naming convention and separate storage locations were used for data management to ensure that source and modified datasets were clearly separated. In addition, a detailed QC tracking spreadsheet was used to track and manage effort on completing QC and resolving any issues.Finally, after the initial data delivery, several rounds of QC review were performed by Ulster County to include: additional visual inspection of flow line connectivity, geometric network tracking, and utility network analysisMost of the issues that were not readily apparent in the manual QC process were attributed to minor errors in data capture and discovered here. Examples include digitizing lines in the wrong direction (not downstream), existence of multi-part features, and topology errors. In all cases, issues were evaluated and resolved

  8. a

    Dwelling Approval Pipeline 2024

    • hamhanding-dcdev.opendata.arcgis.com
    Updated Jun 21, 2024
    + more versions
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    City of Ottawa (2024). Dwelling Approval Pipeline 2024 [Dataset]. https://hamhanding-dcdev.opendata.arcgis.com/datasets/ottawa::dwelling-approval-pipeline-2024
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    Dataset updated
    Jun 21, 2024
    Dataset authored and provided by
    City of Ottawa
    License

    https://ottawa.ca/en/city-hall/get-know-your-city/open-data#open-data-licence-version-2-0https://ottawa.ca/en/city-hall/get-know-your-city/open-data#open-data-licence-version-2-0

    Description

    Accuracy: The number of dwellings approved and permitted are subject to change throughout the development process. Data accuracy is dependent on the applicant's submission. Totals exclude double counting of dwellings approved through multiple development applications at the same location.Update Frequency: QuarterlyContact: Fathimah Tayyiba Rasheed

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Barren River Area Development District, Kentucky (2022). Barren River Area Development District, Kentucky Natural Gas Pipelines [Dataset]. https://koordinates.com/layer/111020-barren-river-area-development-district-kentucky-natural-gas-pipelines/

Barren River Area Development District, Kentucky Natural Gas Pipelines

Explore at:
mapinfo mif, geopackage / sqlite, pdf, mapinfo tab, dwg, csv, shapefile, geodatabase, kmlAvailable download formats
Dataset updated
Nov 16, 2022
Dataset authored and provided by
Barren River Area Development District, Kentucky
Area covered
Description

Geospatial data about Barren River Area Development District, Kentucky Natural Gas Pipelines. Export to CAD, GIS, PDF, CSV and access via API.

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