Data OriginThe dataset provided by Ofwat is rooted in legal records. The dataset is digitised from the official appointments of companies as water and sewage undertakers, which include legally binding documents and maps. These documents establish the specific geographic areas each water company is responsible for. The dataset was sourced from Constituency information: Water companiesData TriageAnonymisation is not required for this dataset, since the data is publicly available and focuses on geographical boundaries of water companies rather than individual or sensitive information. The shapefile serves a specific purpose related to geospatial analysis and regulatory compliance, offering transparent information about the service areas of different water companies as designated by Ofwat.Further ReadingBelow is a curated selection of links for additional reading, which provide a deeper understanding of the water company boundaries datasetOfwat (The Water Services Regulation Authority): As the regulatory body for water and wastewater services in England and Wales, Ofwat's website is a primary source for detailed information about the water industry, including company boundaries.Data.gov.uk: This site provides access to national datasets, including the Water Resource Zone GIS Data (WRMP19), which covers all water resource zones in England. This dataset is crucial for understanding geographical boundaries related to water management.Water UK: As a trade body representing UK water and wastewater service providers, Water UK's website offers insights into the industry's workings, including aspects related to geographical boundaries.Specifications and CaveatsWhen compiling the dataset, the following specifications and caveats were made:This shapefile is intended solely for geospatial analysis. The authoritative legal delineation of areas is maintained in the maps and additional details specified in the official appointments of companies as water and/or sewerage undertakers, along with any alterations to their areas.The shapefile does not encompass data on any structures or properties that, despite being outside the designated boundary, are included in the area, or those within the boundary yet excluded from the area.In terms of geospatial analysis and visual representation, the Mean High Water Line has been utilized to define any boundary extending into the sea, though it's more probable that the actual boundary aligns with the low water mark. Furthermore, islands that are incorporated into the area might not be included in this representation.Ofwat’s data was last updated on 25th May 2022Contact Details If you have a query about this dataset, please email foi@ofwat.gov.uk

Polygons in this feature service are derived from many sources. These include state divisions' data, irrigation company websites and other online information, shapefiles received from various entities, and some unknown sources. The hope is to discover the unknown sources, or to replace them with new ones. Ideally, all boundaries will be derived with input from irrigation companies. This feature service is a work in progress, and known to not be complete.

Analysis of ‘Fire Companies’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://catalog.data.gov/dataset/18d6aa90-606d-4363-bd89-780b5b09d3c8 on 13 February 2022.

--- Dataset description provided by original source is as follows ---

GIS data: Boundaries of Fire Companies.

All previously released versions of this data are available at BYTES of the BIG APPLE- Archive

--- Original source retains full ownership of the source dataset ---

Welcome to Apiscrapy, your ultimate destination for comprehensive location-based intelligence. As an AI-driven web scraping and automation platform, Apiscrapy excels in converting raw web data into polished, ready-to-use data APIs. With a unique capability to collect Google Address Data, Google Address API, Google Location API, Google Map, and Google Location Data with 100% accuracy, we redefine possibilities in location intelligence.

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GIS Layer showing the SCC (State Corporation Commission) Parcel Locations in Pittsylvania County with their related SCC Parcel Location Data.

GIST Impact in partnership with the Integrated Biodiversity Assessment Tool (IBAT) offers a suite of science-based ESG data products that provide an accurate and comprehensive picture of companies’ impacts and dependencies on nature.

The data provides valuable insights into the intricate relationship between corporate assets and biodiversity hotspots. The spreadsheet provides a holistic view of asset distribution in proximity to key biodiversity areas (KBA) and the World Database on Protected Areas (WDPA). Organizations can therefore assess nature-related risks and identify areas of opportunity using GIST Impact’s Biodiversity Proximity Analysis ESG Data.

By defining a buffer as an influence area, we have carefully determined the assets intersecting with both KBA and WDPA boundaries. Our analysis extends beyond the mere identification of asset intersections, delving into the realm of environmental impact. We have thoroughly examined the influence areas of assets located within KBA regions, identifying the presence of IUCN Red List threatened species. This critical assessment sheds light on the potential impact of corporate activities on endangered species, emphasizing the need for proactive conservation measures.

Biodiversity Proximity Risk Data allows organizations to: 1. Understand priority asset locations of companies close to biodiversity hotspots 2. Gain granular insights on species near assets at a very fine resolution 3. Access GIS maps overlaid with business asset locations to evaluate biodiversity hotspots, as recommended by TNFD 4. Leverage our extensive asset location database with millions of assets tagged by company, sector and type of asset

This data set provides a statewide view of telephone exchange service area boundaries.

In addition, LATAs (local access and transport areas) and wire centers are included. At the time of the Bell System breakup, Bell operating companies were restricted to operations within specific areas called LATAs. Wire centers or 'wire center serving area', refers to the area to which local service is provided by one or more switches located at a single point. The wire center serving area is often the same area as the exchange, but a wire center can be equal to a portion of an exchange or to several exchanges combined.

The data was compiled in cooperation with the Minnesota Department of Commerce and the Minnesota incumbent local exchange carriers.

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

This dataset represents the current Franchise Solid Waste Hauler Companies, contracted to provide service within City of Miami jurisdiction. These are the only haulers that can be hired to collect commercial waste. The companies do not necessarily reside within the City of Miami limits, but are contracted and can legally operate within city limits. Dataset is updated as needed and on-schedule every six (6) months.

Point locations of trucking and trucking logistics companies in the greater Chattanooga region. Data compiled manually through internet search in early 2024. Geocoded in ArcGIS Pro. Some features contain website links.

This web feature service contains location and facility identification information from EPA's Facility Registry Service (FRS) for the subset of facilities that link to the Risk Management Plan (RMP) System. The Risk Management Plan (RMP) database stores the risk management plans reported by companies that handle, manufacture, use, or store certain flammable or toxic substances, as required under section 112(r) of the Clean Air Act (CAA). FRS identifies and geospatially locates facilities, sites or places subject to environmental regulations or of environmental interest. Using vigorous verification and data management procedures, FRS integrates facility data from EPA's national program systems, other federal agencies, and State and tribal master facility records and provides EPA with a centrally managed, single source of comprehensive and authoritative information on facilities. This data set contains the subset of FRS integrated facilities that link to RMP facilities once the RMP data has been integrated into the FRS database. Additional information on FRS is available at the EPA website https://www.epa.gov/enviro/facility-registry-service-frs.

These shapes represent the Service Areas within which an irrigation organization can deliver water rights. They do not represent the total acres that a irrigation organization can irrigate. That is determined by the organization's and/or shareholder's individual water rights.

Table regroupant toutes les filiales internationales auxquelles appartiennent une ou plusieurs sociétés d'exploitation forestière exerçant au Cameroun. Ces données fournissent des informations sur le nom et origine de la société; le type d'exploitation; et le volume exploitée annuellement. Sa mise à jour est effectuée de façon continue par les cadres du service de la cartographie du MINFOF avec l'appui de WRI.

This dataset includes the entire Industrial PinPointer database of manufacturing companies, which includes the 2009 D2 of 2 update. Eighteen (18) states have been updated in this delivery: Alaska, Arizona, Hawaii, Idaho, Massachusetts, Missouri, Nevada, New Hampshire, New York, Ohio, Oklahoma, Oregon, South Carolina, South Dakota, Tennessee, Utah, Wisconsin, and Wyoming. In addition to American Samoa, Guam, and the Commonwealth of the Northern Mariana Islands, two (2) US territories have been added to the dataset from the 2009 D1 of 2 update: Puerto Rico, and US Virgin Islands. This totals 48,930 companies. The database decreased by 65 companies from the 2009 D1 of 2 update. This dataset covers manufacturing locations in the 50 states, the District of Columbia, and US territories. Only those locations primarily engaged in manufacturing (SIC Codes 2000-3999) or those that are headquarters of manufacturing companies are included. SIC codes are not provided for 125 companies in the US territories. Where an employee count is available, only locations employing fifteen (15) or more people are included. Employee count is not available for the US territories; therefore, all locations primarily engaged in manufacturing are included for these territories. All text fields were set to upper case, leading and trailing spaces were trimmed from all text fields, and non-printable and diacritic characters were removed from all text fields per NGA's request.

Fire Company boundaries of New York City.