The submission includes wave resource classification reports, summary of classification statistics and regional trends, and data files with classification statistics for selected sites for extreme significant wave height. Two conference papers were uploaded that include classification metrics and geographic distributions for US coastal waters. These conference papers are: Neary, V.S., Coe, R.G., Cruz, J., Haas, K., Bacelli, G., Debruyne, Y., Ahn, S., Nevarez, V. (2017) Classification systems for wave energy resources and WEC technologies. Proceedings of 12th European Wave and Tidal Energy Conference Series (EWTEC 2017), Cork, Ireland, August 27-September 1, 2017 Haas, K., Ahn, S., Neary, V.S., and S. Bredin (2017) Development of a wave energy classification system. Proceedings of the 5th Marine Energy Technology Symposium (METS2017), Washington, D.C., May 1-3, 2017
Can be found on www.netl.doe.gov
The FAUNAFRI project was initiated by the IRD (French Research Institute for the Development of the South countries). The aim of the project is to collect and map the geographical distribution of the African fishes living in fresh and brackish waters. More information on this dataset can be found in the Freshwater Metadatabase - BFE_69 (http://www.freshwatermetadata.eu/metadb/bf_mdb_view.php?entryID=BFE_69).
This is a list of food hubs that USDA's Agricultural Marketing Service had on record as of January 2013. By offering a combination of production, aggregation, distribution, and marketing services, food hubs make it possible for producers to gain entry into new and additional markets that would be difficult or impossible to access on their own.
Fish database used in the paper: J.A. Maldonado-Ocampo, Vari, R.P., Usma, J.S. (2008) Checklist of the Freshwater Fishes of Colombia. Biota Colombiana 9 (2) 143 - 237. This paper includes a checklist of the native freshwater fishes of Colombia by river basin. Paper abstract: Data derived from the literature supplemented by examination of specimens in collections show that 1435 species of native fishes live in the freshwaters of Colombia. These species represent 14 orders and 47 families. Orders with the largest numbers of species in the Colombian continental ichthyofauna are the Characiformes (637 species), Siluriformes (524 species), Perciformes (124 species), and Gymnotiformes (74 species), with the remaining 10 orders having from 1 to 35 species. At the family level, the Characidae has the greatest number of species (399 species), with this followed by the Loricariidae (166 species), Cichlidae (114 species), Pimelodidae (54 species), and Trichomycteridae (54 species); the remaining 42 families having 1 to 52 species. Present data indicate that 311 of the species occur solely at locations within Colombia. Continued descriptions of new species from the continental waters of Colombia demonstrate that the present total underestimates the species-level diversity of the ichthyofauna. The 1435 species living in Colombian freshwaters represent approximately 5% of all freshwater and marine fish species now recognized worldwide and approximately 29% of the freshwater fish species known to inhabit the drainages across the expanse from the southern border of Mexico through to Chile and Argentina. Various historical and ecological factors potentially contributing to the species-level richness of the Colombian freshwater fish fauna are discussed (e.g. geology, climate, physiography, water chemistry). More information on this dataset can be found in the Freshwater Metadatabase - BFE_12 (http://www.freshwatermetadata.eu/metadb/bf_mdb_view.php?entryID=BFE_12).
The dataset consists of all geographical records of freshwater shrimps, prior to 2013. Records have various levels of accuracy. More information on this dataset can be found in the Freshwater Metadatabase - BF_CF7 (http://www.freshwatermetadata.eu/metadb/bf_mdb_view.php?entryID=BF_CF7).
Streams where populations of New Zealand Mudsnails have been confirmed. Created as a featureclass and linear event table based on the current version of the National Hydrography Dataset (NHD).
Rivers and Lakes in Washington where known populations of New Zealand mudsnails (Potamopyrgus antipodarum) exist upstream or in the immediate watershed. Originally created from Washington Rivers polygon layer in 2010. Addtional polygons imported from NHDArea and NHDWaterbody beginning in 2014.
Watersheds where populations of the New Zealand mudsnail (Potamopyrgus antipodarum) have been found or are likely to be found due to proximity to known populations. Based on HUC12 WBD Watersheds from USGS.
Volume of gasoline reported by the States each month, based on reports from suppliers and distributors. These amounts are reported in various Office of Highway Policy Information (OHPI) products including the longstanding Monthly Motor Fuel Report, and the annual Highway Statistics publications.
Volume of gasoline reported by the States each month, based on reports from suppliers and distributors. These amounts are reported in various Office of Highway Policy Information (OHPI) products including the longstanding Monthly Motor Fuel Report, and the annual Highway Statistics publications.
Volume of gasoline reported by the States each month, based on reports from suppliers and distributors. These amounts are reported in various Office of Highway Policy Information (OHPI) products including the longstanding Monthly Motor Fuel Report, and the annual Highway Statistics publications.
Volume of gasoline reported by the States each month, based on reports from suppliers and distributors. These amounts are reported in various Office of Highway Policy Information (OHPI) products including the longstanding Monthly Motor Fuel Report, and the annual Highway Statistics publications.
Volume of gasoline reported by the States each month, based on reports from suppliers and distributors. These amounts are reported in various Office of Highway Policy Information (OHPI) products including the longstanding Monthly Motor Fuel Report, and the annual Highway Statistics publications.
Volume of gasoline reported by the States each month, based on reports from suppliers and distributors. These amounts are reported in various Office of Highway Policy Information (OHPI) products including the longstanding Monthly Motor Fuel Report, and the annual Highway Statistics publications.
Volume of gasoline reported by the States each month, based on reports from suppliers and distributors. These amounts are reported in various Office of Highway Policy Information (OHPI) products including the longstanding Monthly Motor Fuel Report, and the annual Highway Statistics publications.
Volume of gasoline reported by the States each month, based on reports from suppliers and distributors. These amounts are reported in various Office of Highway Policy Information (OHPI) products including the longstanding Monthly Motor Fuel Report, and the annual Highway Statistics publications.
Volume of gasoline reported by the States each month, based on reports from suppliers and distributors. These amounts are reported in various Office of Highway Policy Information (OHPI) products including the longstanding Monthly Motor Fuel Report, and the annual Highway Statistics publications.
Volume of gasoline reported by the States each month, based on reports from suppliers and distributors. These amounts are reported in various Office of Highway Policy Information (OHPI) products including the longstanding Monthly Motor Fuel Report, and the annual Highway Statistics publications.
Volume of gasoline reported by the States each month, based on reports from suppliers and distributors. These amounts are reported in various Office of Highway Policy Information (OHPI) products including the longstanding Monthly Motor Fuel Report, and the annual Highway Statistics publications.
Volume of gasoline reported by the States each month, based on reports from suppliers and distributors. These amounts are reported in various Office of Highway Policy Information (OHPI) products including the longstanding Monthly Motor Fuel Report, and the annual Highway Statistics publications.
SGN data is published in line with the UK energy sector’s drive towards net zero through the open sharing of energy data.
The SMART-DS datasets (Synthetic Models for Advanced, Realistic Testing: Distribution systems and Scenarios) are realistic large-scale U.S. electrical distribution models for testing advanced grid algorithms and technology analysis. This document provides a user guide for the datasets. This dataset contains synthetic detailed electrical distribution network models, and connected timeseries loads for the greater San Francisco (SFO), Greensboro, and Austin areas. It is intended to provide researchers with very realistic and complete models that can be used for extensive powerflow simulations under a variety of scenarios. The data is synthetic, but has been validated against thousands of utility feeders to ensure statistical and operational similarity to electrical distribution networks in the US. The OpenDSS data is partitioned into several regions (each zipped separately). After unzipping these files, each region has a folder for each substation, and subsequent folders for each feeder within the substation. This allows users to simulate smaller sections of the full dataset. Each of these folders (region, substation and feeder) has a folder titled "analysis" which contains CSV files listing voltages and overloads throughout the network for the peak loading time in the year. It also contains .png files showing the loading of residential and commercial loads on the network for every day of the year, and daily breakdowns of loads for commercial building categories. Time series data is provided in the "profiles" folder including real and reactive power at 15 minute resolution along with parquet files in the "endues" folder with breakdowns of building end-uses.
The site characterization data used to develop the conceptual geologic model for the Snake River Plain site in Idaho, as part of phase 1 of the Frontier Observatory for Research in Geothermal Energy (FORGE) initiative. This collection includes data on seismic events, groundwater, geomechanical models, gravity surveys, magnetics, resistivity, magnetotellurics (MT), rock physics, stress, the geologic setting, and supporting documentation, including several papers. Also included are 3D models (Petrel and Jewelsuite) of the proposed site. Data for wells INEL-1, WO-2, and USGS-142 have been included as links to separate data collections. These data have been assembled by the Snake River Geothermal Consortium (SRGC), a team of collaborators that includes members from national laboratories, universities, industry, and federal agencies, lead by the Idaho National Laboratory (INL). Other contributors include the National Renewable Energy Laboratory (NREL), Lawrence Livermore National Laboratory (LLNL), the Center for Advanced Energy Studies (CEAS), the University of Idaho, Idaho State University, Boise State University, University of Wyoming, University of Oklahoma, Energy and Geoscience Institute-University of Utah, US Geothermal, Baker Hughes Campbell Scientific Inc., Chena Power, US Geological Survey (USGS), Idaho Department of Water Resources, Idaho Geological Survey, and Mink GeoHydro.
Contains information about each delivery technology for US, Romania, Jamaica and India. base year: 2010. This information is used as input in the Model for Electricity Technology Assessment (META) tool. META yields levelized costs for generation, transmission, and distribution for each electricity supply technology option from a relatively few input parameters. One of the features of META is that it allows for integration of environmental externalities, such as local pollution and greenhouse gas emissions. Users can easily see the cost of adding or expanding generation from a particular power source if, for example, a carbon price is factored in.
This is USDA's Agricultural Marketing Service's list of wholesale markets, or facilities where wholesalers receive large quantities of commodities by rail, truck, and air from local growers as well as producers around the world for sale to grocers, restaurants, institutions, and other businesses. About 90% of wholesale markets sell fresh fruits and vegetables, but there are also seafood, meat, and flower wholesale markets.