This dataset contains information about Saud Arabia's natural gas sales by stations (in tons)for 2001-2013. Data from Saudi Open Data.Citation: "Sales Of Gas By Gas Stations (In Ton) | Saudi Open Data". Data.gov.sa. N.p., 2015. Web. 15 Mar. 2016.

This dataset contains information about Saudi Arabia's Manpower in electricity companies by region for 2000-2019. Data from Saudi Open Data.Source : Ministry of Water and Electricity. Table 8 Note: As of 2000, the Northern included into SEC branches

This dataset contains Saudi Arabia Electricity Consumption, Number of Subscribers, Peak Load and Actual Generating Capacity by Region 1992-2009 Saudi Open Data , Export API data for more datasets to advance energy economics research.

This map highlights 8962 stations with monthly discharge data, including data derived daily up to 20 December 2013. The GRDB (Global Runoff DataBase) is built on an initial dataset collected in the early 1980s from the responses to WMO (World Meteorological Organization request to its member countries to provide a global hydrological data set to complement a specific set of atmospheric data in the framework of the First Global GARP Experiment (FCGE). The initial dataset of monthly river discharge data over a period of several years around 1980 was supplemented with the UNESCO monthly river discharge data collection 1965-85. Today the database comprises discharge data of nearly 9.000 gauging stations from all over the world. Since 1993 the total number of station-years has increased by a factor of around 10.Credits and partnerships:OSU - College of Earth, Ocean and Atmospheric SciencesCarniege Corporation of New YGloabl orkNASCE - Northwest Alliance for Computational Science & EngineeringInternational Water Management InstituteUNESCO - United Nations Educational, Scientific and Cultural OrganisationUSGS - United States Geological Survey

The saudinodp extension enhances the CKAN data portal platform but the Readme provides limited specifics about its functionality. Based on the available information, it appears this extension for CKAN aims to customize or extend CKAN for use within a specific domain, potentially related to the Saudi Open Data Platform (implied by the naming convention). It likely provides tools, themes, or configurations to tailor CKAN to align with requirements of this particular Open Data platform and/or other needs. Since the exact functionality isn't outlined in the Readme document it is difficult to accurately assess its real capabilities beyond setup and deployment. Key Features (Inferred): Customization: Likely offers a customized theme or user interface adjustments to match the Saudi Open Data Platform's branding or design guidelines. Configuration: May include pre-configured settings or specific configurations to align CKAN with the data governance policies of the Saudi Open Data Platform Extensibility: Potentially adds new features or modifies existing ones to meet unique requirements or workflows of data management on said platform. Technical Integration: The saudinodp extension integrates with CKAN by adding itself as a plugin through the ckan.plugins setting in the CKAN configuration file production.ini. Once included, it runs during CKAN's operation, adjusting its features and interface. Additionally, basic installation including setting up a virtual environment suggests it's a traditional plugin using Python modules and resources, requiring a server restart post-configuration to be fully applied. Benefits & Impact (Inferred): While documentation is scarce, implementing the saudinodp extension would probably mean a CKAN instance has been setup with a certain domain/platform requirements, thus aligning with its policies. Its usefulness greatly depends on the customization it provides for the targeted Saudi Open Data Platform environment.

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