The Emissions & Generation Resource Integrated Database (eGRID) is a comprehensive source of data on characteristics of almost all electric power generated in the United States. This data includes capacity; heat input; net generation; associated air emissions of nitrogen oxides, sulfur dioxide, carbon dioxide, methane, nitrous oxide and mercury; emissions rates; resource mix (i.e., generation by fuel type); nonbaseload calculations; line losses (a.k.a., grid gross loss); and many other attributes. The data is provided at the unit and generator levels, as well as, aggregated to the plant, state, balancing authority, eGRID subregion, NERC region, and US levels. As of January 2023, the available editions of eGRID contain data for years 2021, 2020, 2019, 2018, 2016, 2014, 2012, 2010, 2009, 2007, 2005, 2004, and 1996 through 2000.

Datasets of __hydro energy__ generators __connected__ to the electricity network are downloadable as GIS shapefiles. Two spatial reference systems are applied to the downloadable shapefiles: Irish Transverse Mercator (ITM) and WGS 84 (EPSG:3857). Connected generators are those with an electrical connection to the electricity network or “grid”. Each connection is quantified by a Maximum Export Capacity (MEC), expressed in megawatts (MW). Hydro generators built over multiple phases appear in these datasets as individual generators, each with a total MEC value. Such generators are larger, TSO-connected, and built in early decades of the State at: Ardnacrusha, Cliff, Cathleen’s Fall, Inniscarra, and Pollaphuca. The Sustainable Energy Authority of Ireland (SEAI) offers the same data in its Hydro Mapping System, a digital map of Ireland's hydro energy connections and resources (http://gis.seai.ie/hydro). __References__ Ireland’s Distributed System Operator (DSO) and Transmission System Operator (TSO), ESB Networks and EirGrid respectively, provided the raw data on hydro energy connections. They publish their datasets, for information purposes, at: DSO Connected-Energised Non-Wind Generators (ESB Networks) https://www.esbnetworks.ie/new-connections/generator-connections-group/generator-statistics TSO Connected Renewable Generators (EirGrid Group) https://www.eirgridgroup.com/customer-and-industry/general-customer-information/connected-and-contracted-generators/

Datasets of __hydro energy potential __are downloadable as GIS shapefiles. Two spatial reference systems are applied to the downloadable shapefiles: Irish Transverse Mercator (ITM) and WGS 84 (EPSG:3857). A 1985 study provided the raw data and technical terms in its glossary ([link](https://seaiopendata.blob.core.windows.net/hydro/DOE_1985_Small%20Scale%20Hydro-Electric%20Potential%20of%20Ireland.pdf)). Important terms are: Head: The level difference between the water surface at intake and trailrace of a turbine. Tailrace: The discharge channel from a turbine or waterwheel before rejoining the main river channel. The Sustainable Energy Authority of Ireland (SEAI) offers the same data in its Hydro Mapping System, a digital map of Ireland's hydro energy connections and potential resources (http://gis.seai.ie/hydro). __References__ Small-scale Hydro-electric Potential of Ireland, Department of Energy, 1985. https://seaiopendata.blob.core.windows.net/hydro/DOE_1985_Small%20Scale%20Hydro-Electric%20Potential%20of%20Ireland.pdf

This API provides international data on hydroelectric energy capacity and generation. Data organized by country. Users of the EIA API are required to obtain an API Key via this registration form: http://www.eia.gov/beta/api/register.cfm

OSTI.GOV is the primary search tool for DOE science, technology, and engineering research and development results and the organizational hub for information about the DOE Office of Scientific and Technical Information. OSTI.GOV makes discoverable over 70 years of research results from DOE and its predecessor agencies. Research results include journal articles/accepted manuscripts and related metadata; technical reports; scientific research datasets and collections; scientific software; patents; conference and workshop papers; books and theses; and multimedia.

The Global Reservoir and Dam Database, Version 1, Revision 01 (v1.01) contains 6,862 records of reservoirs and their associated dams with a cumulative storage capacity of 6,197 cubic km. The dams were geospatially referenced and assigned to polygons depicting reservoir outlines at high spatial resolution. Dams have multiple attributes, such as name of the dam and impounded river, primary use, nearest city, height, area and volume of reservoir, and year of construction (or commissioning). While the main focus was to include all dams associated with reservoirs that have a storage capacity of more than 0.1 cubic kilometers, many smaller dams and reservoirs were added where data were available. The data were compiled by Lehner et al. (2011) and are distributed by the Global Water System Project (GWSP) and by the Columbia University Center for International Earth Science Information Network (CIESIN). For details please refer to the Technical Documentation which is provided with the data.The Global Reservoir and Dam Database, Version 1, Revision 01 (v1.01) contains 6,862 records of reservoirs and their associated dams with a cumulative storage capacity of 6,197 cubic km. The dams were geospatially referenced and assigned to polygons depicting reservoir outlines at high spatial resolution. Dams have multiple attributes, such as name of the dam and impounded river, primary use, nearest city, height, area and volume of reservoir, and year of construction (or commissioning). While the main focus was to include all dams associated with reservoirs that have a storage capacity of more than 0.1 cubic kilometers, many smaller dams and reservoirs were added where data were available. The data were compiled by Lehner et al. (2011) and are distributed by the Global Water System Project (GWSP) and by the Columbia University Center for International Earth Science Information Network (CIESIN). For details please refer to the Technical Documentation which is provided with the data.