This dataset includes modeled velocity and discharge at five communities in the middle Kuskokwim River region: Aniak, Chuathbaluk, Crooked Creek, Red Devil and Stony River. Modeled velocities and discharge represent daily averages calculated for the openwater season (OWS) from June 1 - October 18 over the 20 year period 2000-2019 using the raw data described below and included in this archive; full details of methodology are described in (Brown et al. submitted to Renewable Energy). Raw data inputs to inform the modeling process include in-situ measurements of 1) discharge with an acoustic Doppler current meter (ADCP, 600kHz Workhorse Rio Grande by Teledyne RD Instruments) and a global positioning receiver (GPS, Trimble 5700, 5800 and R8) utilizing Real Time Kinematic (RTK) GPS mode over 1-2 days at each site in 2009 or 2010 (Ravens 2014), and 2) river stage with a water level logger (HOBO U20-001-01 by Onset) over 2-9 weeks at each site (Ravens 2014), 3) in addition to a 20 year long-term discharge record collected at the USGS stream gage site in Crooked Creek (USGS 2016). Raw data (discharge and stage) are included in this archive for two additional communities: Lower Kalskag and Sleetmute, where modeled velocities were not calculated due to equipment failure or loss. The USGS stream gage data at Crooked Creek (USGS 2016) and stream gage methodology (Turnipseed and Sauer 2010) are publicly available online, so the data are not duplicated here.

The ASTER Global Water Bodies Database (ASTWBD) Version 1 data product provides global coverage of water bodies larger than 0.2 square kilometers at a spatial resolution of 1 arc second (approximately 30 meters) at the equator, along with associated elevation information.

The TidGen Power System generates emission-free electricity from tidal currents and connects directly into existing grids using smart grid technology. The power system consists of three major subsystems: shore-side power electronics, mooring system, and turbine generator unit (TGU) device. This submission includes the Advanced TidGen cost and cost of energy metrics after critical design review for BP1, and a complete LCOE content model and LCOE reporting according to DOE guidance for the baseline system and the system with advanced technology integrated. A revised LCOE content model is also included, with more relevant market array assumptions. Additionally, this submission includes a complete system overview and component overview content models. The LCOE Content Model provides data submitters with an easy and consistent means of uploading data that can be used to calculate the levelized cost of energy for MHK devices. Data represents the design completed for the Critical Design Review conducted at ORPC in December, 2017. All values are for a single device. Note that with substantial fixed costs, larger arrays will greatly reduce LCOE. For an array in Admiralty Inlet producing 136,000 MWh, 270 devices with an array CAPEX of $540,260,052 and an array OPEX of $39,959,207 would result in an LCOE of $722/MWh.

River Catchment boundaries in all of the island of Ireland

The database of the EU project MARS contains point data of macroinvertebrates, fish and macrophytes including hydromorphological, physico-chemical and land use information. Most biotic and physico-chemical data have been collected as part of an extensive national monitoring survey. Land use infromation (ATKIS land cover data) was GIS-based generated for fixed buffer strips with different widths and lengths. More information on this dataset can be found in the Freshwater Metadatabase - MARS_14 (http://www.freshwatermetadata.eu/metadb/bf_mdb_view.php?entryID=MARS_14).

The objectives of the proposed work pertain to building a high power-density and high efficiency device to harness MHK energy by mimicking fish-school kinematics. Vortex Hydro Energy is collaborating with a concept formed and undergone preliminary testing at the University of Michigan to complete this task. This submission contains data from the Marine Hydrodynamics Laboratory tank testing for 1, 2, and 3 cylinders. Tests were run in a 10,000 gallon recirculating tank. Cylinders have a diameter of 0.0889 m and 0.895m long. See "Read Me" for file format explanation and additional details.

This dataset shows the direction of river flow realted to the EPA/OSi river network dataset.

A global hydrological database is considered essential for research and application-oriented hydrological and climatological studies at global, regional and basin scales. The Global Runoff Database is a unique collection of river discharge data on a global scale. It contains time series of daily and monthly river discharge data of currently more than 9,800 stations worldwide. This adds up to around 435,000 station-years with an average record length of 44 years. The earliest data is from 1987, the most recent for 2019. The database is continuously updated as soon as data is supplied to the centre by national hydrological services.

NHD_MajorAreas are a subset of the largest double banked stream/river polygon features selected from the High Resolution NHD dataset for Washington State. This subset includes only NHDAreas that have an associated NHD_MajorStream. NHD_MajorStreams are classified as those that have GNIS Names that include "River", or have a Stream Order > 7, or have a GNIS Name that includes "Creek" and is longer than 24 km. NHD_MajorAreas have an NHD_MajorStream flowing through it.The National Hydrography Dataset (NHD) is a feature-based database that interconnects and uniquely identifies the stream segments or reaches that make up the nation's surface water drainage system. This high-resolution NHD, generally developed at 1: 12,000/1:24,000 scale, adds detail to the original 1:100,000-scale NHD. Local resolution NHD is being developed where partners and data exist. The NHD contains reach codes for networked features, flow direction, names, and centerline representations for areal water bodies. Reaches are also defined on waterbodies and the approximate shorelines of the Great Lakes, the Atlantic and Pacific Oceans and the Gulf of Mexico. The NHD also incorporates the National Spatial Data Infrastructure framework criteria established by the Federal Geographic Data Committee. Updated March 2019

NHD_MajorStreams are a subset of the largest linear stream/river features selected from the High Resolution NHD dataset for Washington State. This subset includes only NHDflowlines that have GNIS Names that include "River", or have a Stream Order > 7, or have a GNIS Name that includes "Creek" and is longer than 24 km. The National Hydrography Dataset (NHD) is a feature-based database that interconnects and uniquely identifies the stream segments or reaches that make up the nation's surface water drainage system. This high-resolution NHD, generally developed at 1:12,000/1:24,000 scale, adds detail to the original 1:100,000-scale NHD Local resolution NHD is being developed where partners and data exist. The NHD contains reach codes for networked features, flow direction, names, and centerline representations for areal water bodies. Reaches are also defined on waterbodies and the approximate shorelines of the Great Lakes, the Atlantic and Pacific Oceans and the Gulf of Mexico. The NHD also incorporates the National Spatial Data Infrastructure framework criteria established by the Federal Geographic Data Committee. Updated March 2019

The dataset consist of acoustic Doppler current profiler (ADCP) velocity measurements in the wake of a 3-meter diameter vertical-axis hydrokinetic turbine deployed in Roza Canal, Yakima, WA, USA. A normalized hub-centerline wake velocity profile and two cross-section velocity contours, 10 meters and 20 meters downstream of the turbine, are presented. Mean velocities and turbulence data, measured using acoustic Doppler velocimeter (ADV) at 50 meters upstream of the turbine, are also presented. Canal dimensions and hydraulic properties, and turbine-related information are also included.

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.

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A Register of Hydrometric Stations in Ireland.

This data represents water quality of a selection of river and stream sites in South Dublin County.The samples are collected at a monthly frequency and are collected by South Dublin County Council staff and analysed by Dublin City Council’s accredited laboratory on Marrowbone Lane in Dublin City. This dataset reports for samples taken during the period: 01/01/2014 - 30/08/2022.Samples are primarily collected to determine compliance against environmental quality standards in the legislation, S.I. No. 272/2009 - European Communities Environmental Objectives (Surface Waters) Regulations 2009, and precursor phosphate regulations. The monthly collection of samples also allows for the trend testing across monthly, season and yearly quantities.  The laboratory does not operate on Saturday or Sunday which places a constraint for samples to be delivered to the lab from Wednesday to Friday to facilitate the BOD5 day test. Microbiological parameters are not collected due to similar laboratory constraints. If you have any queries relating to this dataset, please contact the Water & Drainage section in South Dublin County Council by emailing waterpollution@sdublincoco.ie 

This data represents water quality of a selection of river and stream sites in South Dublin County.The samples are collected at a monthly frequency and are collected by South Dublin County Council staff and analysed by Dublin City Council’s accredited laboratory on Marrowbone Lane in Dublin City. This dataset reports for samples taken during the period: 01/01/2014 - 30/08/2022.Samples are primarily collected to determine compliance against environmental quality standards in the legislation, S.I. No. 272/2009 - European Communities Environmental Objectives (Surface Waters) Regulations 2009, and precursor phosphate regulations. The monthly collection of samples also allows for the trend testing across monthly, season and yearly quantities.  The laboratory does not operate on Saturday or Sunday which places a constraint for samples to be delivered to the lab from Wednesday to Friday to facilitate the BOD5 day test. Microbiological parameters are not collected due to similar laboratory constraints. If you have any queries relating to this dataset, please contact the Water & Drainage section in South Dublin County Council by emailing waterpollution@sdublincoco.ie 

This dataset shows Near Surface Nitrate Susceptibility. Pollution Impact Potential (PIP) maps were generated separately for nitrate and phosphate to rank critical source areas (CSAs) relative to one another from diffuse agriculture for both the groundwater and surface water receptor. The PIP maps are generated by the EPA Catchment Characterisation Tool (CCT). The CCT delineates the CSAs displayed in the PIP maps by overlaying the hydro(geo)logically susceptible areas (the likelihood of nutrient transfer due to soil and geological properties along the near surface and/or subsurface pathway) with nitrate or phosphate loadings. The nitrate and phosphate PIP maps for the surface water receptor combine the contribution from both the subsurface pathway and the near surface pathway while the groundwater receptor maps only consider the contribution from the groundwater pathway. Surface Water Receptor Nitrate PIP map shows the relative pollution impact potential to surface water along the subsurface and near surface pathways due to nitrate loading. This map should be used to evaluate nutrient impact at the waterbody, subcatchment or catchment scale (at a resolution of less than 1:20,000). Pollution impact potential (PIP) maps rank the CSAs in descending order of risk (where Rank 1 is the highest risk) and are available for the surface water receptor for nitrate and phosphate, and the groundwater receptor for nitrate. Local pressure data has been used to generate the maps in agricultural areas where available. For urban, forestry and the remaining agricultural areas, regional sources of pressure data have been used; these areas are marked 'using regional loadings' on the PIP maps.

The University of Alaska Fairbanks (UAF) Alaska Hydrokinetic Energy Research Center was tasked with developing a real-time data telemetry / remote power generation system to monitor frazil ice conditions in the Kvichak River in support of the U.S. Department of Energy funded "Next Generation MHK River Power System Optimized for Performance, Durability and Survivability" project. A real-time telemetry system was requested because of the short time span between the end of the frazil ice season when the instruments would be recovered, limited vessel availability and the project end-date. To meet the project objectives, UAF designed and assembled a remote power/real-time data telemetry system that included an auto start propane generator, a small PV array, a small battery bank and line-of-sight radios as well as two sonar systems to monitor river velocity and water column acoustic backscatter strength. Both sonars included internal batteries for powering the instruments in case of failure of the shore based power system. The sonars, deployed in ~5 m of water on the bed of the Kvichak River, adjacent to the Village of Igiugig, Alaska were tethered to shore via a waterproof armored cable that conveyed power to the subsurface instruments and data from the instruments to the shore based telemetry system. The instruments were programmed to record data internally as well as to transmit data serially over the cables to the shore based system. The system was in-place between November, 2016 and June, 2017. While the real-time data telemetry system was not successful and the remote power generation power system was only partially successful, the system design included sufficient redundant power in the form of internal instrument batteries to enable the collection of nearly three months of overlapping velocity and backscatter data (from November through February) and a record of acoustic backscatter strength spanning the entire ~150 day frazil ice season between November, 2016 and ~April, 2017. This submission includes the overwinter ice study plan, dataset, and final report. The dataset includes modeled water velocity, discharge, and measured water velocity and acoustic backscatter strength in winter 2016-17 from the Kvichak River at the Village of Igiugig, Alaska, USA.

Risk Register for the RivGen power system, optimized for performance, durability and survivability, in Microsoft Excel format.

Field measurements of mean flow and turbulence parameters at the Kvichak river prior to and after the deployment of ORPC's RivGen hydrokinetic turbine. Data description and turbine wake analysis are presented in the attached manuscript "Wake measurements from a hydrokinetic river turbine" by Guerra and Thomson (recently submitted to Renewable Energy). There are three data sets: NoTurbine (prior to deployment), Not_Operational_Turbine (turbine underwater, but not operational), and Operational_Turbine. The data has been quality controlled and organized into a three-dimensional grid using a local coordinate system described in the paper. All data sets are in Matlab format (.mat). Variables available in the data sets are: qx: X coordinate matrix (m) qy: Y coordinate matrix (m) z : z coordinate vector (m) lat : grid cell latitude (degrees) lon: grid cell longitude (degrees) U : velocity magnitude (m/s) Ux: x velocity (m/s) Vy: y velocity (m/s) W: vertical velocity (m/s) Pseudo_beam.b_i: pseudo-along beam velocities (i = 1 to 4) (m/s) (structure with raw data within each grid cell) beam5.b5: 5th-beam velocity (m/s) (structure with raw data within each grid cell) tke: turbulent kinetic energy (m2/s2) epsilon: TKE dissipation rate (m2/s3) Reynolds stresses: uu, vv, ww, uw, vw (m2/s2) Variables from the Not Operational Turbine data set are identified with _T Variables from the Operational Turbine data set are identified with _TO

Data collected during the 2016 St. Clair River installation of the Oscylator-4 energy converter.

Contains the Reference Model 2 (RM2) spreadsheets with the cost breakdown structure (CBS) for the levelized cost of energy (LCOE) calculations for a single RM2 device and multiple unit arrays. These spreadsheets are contained within an XLSX file and a spreadsheet editor such as Microsoft Excel is needed to open the file. This data was generated upon completion of the project on September 30, 2014. The Reference Model Project (RMP), sponsored by the U.S. Department of Energy (DOE), was a partnered effort to develop open-source MHK point designs as reference models (RMs) to benchmark MHK technology performance and costs, and an open-source methodology for design and analysis of MHK technologies, including models for estimating their capital costs, operational costs, and levelized costs of energy. The point designs also served as open-source test articles for university researchers and commercial technology developers. The RMP project team, led by Sandia National Laboratories (SNL), included a partnership between DOE, three national laboratories, including the National Renewable Energy Laboratory (NREL), Pacific Northwest National Laboratory (PNNL), and Oak Ridge National Laboratory (ORNL), the Applied Research Laboratory of Penn State University, and Re Vision Consulting. Reference Model 2 (RM2) is a variable speed dual-rotor cross-flow river turbine that is deployed at the water?s surface. It was designed for deployment at a reference site modeled after a reach in the Mississippi River near Baton Rouge, Louisiana. The rotors are anchored to a two-pontoon vessel platform. Surface deployment of the turbine minimizes the handling requirements during deployment and recovery and reduces overall costs for all O&M activities, including allowing for easy access to the power conversion chain (PCC). The design (two rotors per platform) also reduces the environmental footprint and associated environmental compliance costs.

Contains the Reference Model 2 (RM2) full scale geometry files of the River Current Turbine, developed by the Reference Model Project (RMP). These full scale geometry files are saved as SolidWorks assembly, IGS, X_T, and STEP files, and require a CAD program to view. This data was generated upon completion of the project on September 30, 2014. The Reference Model Project (RMP), sponsored by the U.S. Department of Energy (DOE), was a partnered effort to develop open-source MHK point designs as reference models (RMs) to benchmark MHK technology performance and costs, and an open-source methodology for design and analysis of MHK technologies, including models for estimating their capital costs, operational costs, and levelized costs of energy. The point designs also served as open-source test articles for university researchers and commercial technology developers. The RMP project team, led by Sandia National Laboratories (SNL), included a partnership between DOE, three national laboratories, including the National Renewable Energy Laboratory (NREL), Pacific Northwest National Laboratory (PNNL), and Oak Ridge National Laboratory (ORNL), the Applied Research Laboratory of Penn State University, and Re Vision Consulting. Reference Model 2 (RM2) is a variable speed dual-rotor cross-flow river turbine that is deployed at the waters surface. It was designed for deployment at a reference site modeled after a reach in the Mississippi River near Baton Rouge, Louisiana. The rotors are anchored to a two-pontoon vessel platform. Surface deployment of the turbine minimizes the handling requirements during deployment and recovery and reduces overall costs for all O&M activities, including allowing for easy access to the power conversion chain (PCC). The design (two rotors per platform) also reduces the environmental footprint and associated environmental compliance costs.

Contains the Reference Model 2 (RM2) scaled scale geometry files of the River Current Turbine, developed by the Reference Model Project (RMP). These scaled geometry files are saved as SolidWorks assembly, IGS, and STEP files, and require a CAD program to view. The scaled RM2 device was tested at the Saint Anthony Falls Laboratory (SAFL) at the University of Minnesota flume. The scale of the geometries included in this submission are at a 1:15 scale compared to the full scale geometry. This data was generated upon completion of the project on September 30, 2014. The Reference Model Project (RMP), sponsored by the U.S. Department of Energy (DOE), was a partnered effort to develop open-source MHK point designs as reference models (RMs) to benchmark MHK technology performance and costs, and an open-source methodology for design and analysis of MHK technologies, including models for estimating their capital costs, operational costs, and levelized costs of energy. The point designs also served as open-source test articles for university researchers and commercial technology developers. The RMP project team, led by Sandia National Laboratories (SNL), included a partnership between DOE, three national laboratories, including the National Renewable Energy Laboratory (NREL), Pacific Northwest National Laboratory (PNNL), and Oak Ridge National Laboratory (ORNL), the Applied Research Laboratory of Penn State University, and Re Vision Consulting. Reference Model 2 (RM2) is a variable speed dual-rotor cross-flow river turbine that is deployed at the water?s surface. It was designed for deployment at a reference site modeled after a reach in the Mississippi River near Baton Rouge, Louisiana. The rotors are anchored to a two-pontoon vessel platform. Surface deployment of the turbine minimizes the handling requirements during deployment and recovery and reduces overall costs for all O&M activities, including allowing for easy access to the power conversion chain (PCC). The design (two rotors per platform) also reduces the environmental footprint and associated environmental compliance costs.

Abstract: Average daily river flow data, measured by EDF Hydro, an entity of EDF SA. Detailed description: The geographical scope is limited to mainland France, but not its islands. In other words, mainland France (excluding Corsica and Guadeloupe, for example). This data is also stored on www.hydro.eaufrance.fr, the national hydrometric database. The data comes from the Castor application. The provision of these data sets is governed by the national protocol for the water information system (agreement of 11/07/2003 - with SCHAPI-DGPR). The surface area of the catchment is given in km2. The map view shows the number of measurement points per geographical position.

Ecology created SMA_Jurisdiction_Streams (also known as SMA_Arcs_Adopt) by selecting appropriate flowlines from the National Hydrographic Dataset "NHDFlowline.lyr" as maintained by the Department of Ecology in conjunction with the USGS. This dataset can be used with linear referencing and is synchronized with the March 2019 version of NHD.The original official list of streams that meet the 20 cubic feet per second (cfs) mean annual flow criteria found in state rule at WAC 173-18 HAS BEEN SUPERSEDED by lists contained in Ecology-approved shoreline master programs.Each local government master program shall include a list of streams constituting shorelines of the state within the jurisdiction of the master program that complies with the requirements of RCW 90.58.030 (2)(d). When such master program is approved by the department, subsequent to the effective date of this provision, the list within the master program shall be the official list for that jurisdiction and shall supersede the list contained herein. Streams and rivers westof the Cascades crest with a mean annual flow of 1,000 cfs or greater, and eastof the Cascades crest with either a mean annual flow or 200 cfs or more orthe portion downstream from the first 300 square miles of drainage areas are classified as shorelines of statewide significance.

Points on streams and rivers where SMA jurisdiction begins as published in Chapter 173-18 WAC. This layer will not be updated. It is slowly becoming outdated as cities and counties update their list of SMA streams in their shoreline master program. See WAC 173-18-044 posted at http://apps.leg.wa.gov/wac/default.aspx?cite=173-18-044.Point locations were originally compiled for Ecology in 1972 by the US Geological Survey, Water Resources Division, Tacoma, WA, and released in STREAMS OF WASHINGTON UNDER THE REQUIREMENTS OF THE SHORELINE MANAGEMENT ACT OF 1971. Points were determined using multiple-regression techniques based on streamflow and basin precipitation records. Ecology has occasionally updated point locations, and added and subtracted points since 1972.

Streams and rivers published in Chapter 173-18-WAC. This layer will not be updated. It is slowly becoming outdated as cities and counties update their list of Shoreline Management Act streams in their shoreline master program. See WAC 173-18-044 posted at http://apps.leg.wa.gov/wac/default.aspx?cite=173-18-044.The upstream points where SMA jurisdiction begins were originally compiled for Ecology in 1972 by the US Geological Survey, Water Resources Division, Tacoma, WA, and released in STREAMS OF WASHINGTON UNDER THE REQUIREMENTS OF THE SHORELINE MANAGEMENT ACT OF 1971. Points were determined using multiple-regression techniques based on streamflow and basin precipitation records. Ecology has occasionally updated those points and added and subtracted SMA streams and portions of SMA streams since 1972.

Water bodies (lakes, wetlands, etc.) published in Chapter 173-20 WAC. These will be replaced by water body lists published in local government shoreline master programs. See Chapter 173-20-044 WAC.

From the site: "This statewide watershed coverage (12 digit HUC) was provided by the Natural Resources Conservation Service (NRCS). The coverage is in ArcView shapefile format and has been compressed with WinZip. Readme and draft metadata files are included in the zipped file. [Includes] Detailed stream coverage at 1:100,000 compiled from EPA River Reach 3 files. The Scenic Rivers Program was established in 1968 with the passage of the Tennessee Scenic Rivers Act. Since passage of this act, the General Assembly has designated sections of 13 rivers as State Scenic Rivers. Many of these Scenic Rivers are managed cooperatively with other local, state and federal agencies as well as with non-governmental organizations. The Scenic Rivers Program seeks to preserve valuable selected rivers, or sections thereof, in their free-flowing natural or scenic conditions and to protect their water quality and adjacent lands. The program seeks to preserve within the scenic rivers system itself, several different types and examples of river areas, including mountain streams and deep gorges of east Tennessee, the pastoral rivers of middle Tennessee, and the swamp rivers of west Tennessee. State Scenic Rivers are managed according to the Rules for the Management of Tennessee Natural Resource Areas."

The NRFA is the UK's focal point for river flow data. Collating, quality control and archive hydrometric data from gauging station networks across the UK including the extensive networks operated by the Environment Agency (England), Natural Resources Wales, the Scottish Environment Protection Agency and the Department for Infrastructure - Rivers. The NRFA holds a wide range of hydrological information to assist in the understanding and interpretation of measured river flows. In addition to a time series of gauged river flow, the data centre maintains hydrometric information relating to the gauging stations and the catchments they command and data quantifying other parts of the hydrological cycle.

The UK Water Resources Portal is an interactive tool to monitor the UK hydrological situation in (near) real-time at a range of spatial scales. The portal brings together rainfall, river flow, soil moisture and groundwater level data in one place, and showcases the use of live river flow data from the Environment Agency and the Scottish Environmental Protection Agency as well as COSMOS-UK soil moisture data.

Data from a variety of hydrological parameters for the Zambezi River Basin. Range of data for a range of time periods from 1950s to present day Interface is slow, and cannot export data, but graphs and readouts from graphs possible. Parameters include: Daily discharge Daily Rainfall Water Level River Gauging station