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