A combination of discrete and daily-aligned groundwater levels for the Mississippi River Valley alluvial aquifer clipped to the Mississippi Alluvial Plain, as defined by Painter and Westerman (2018), with corresponding metadata are based on processing of U.S. Geological Survey National Water Information System (NWIS) (U.S. Geological Survey, 2020) data. The processing was made after retrieval using aggregation and filtering through the infoGW2visGWDB software (Asquith and Seanor, 2019). The nomenclature GWmaster mimics that of the output from infoGW2visGWDB. Two separate data retrievals for NWIS were made. First, the discrete data were retrieved, and second, continuous records from recorder sites with daily-mean or other daily statistics codes were retrieved. Each dataset was separately passed through the infoGW2visGWDB software to create a "GWmaster discrete" and "GWmaster continuous" and these tables were combined and then sorted on the site identifier and date to form the data products described herein. A sweep through the combined dataset (the "database") was made to isolate duplicate observations, or observations for the same well and on the same day. If a discrete value was present, it was retained as authoritative for the day and in descending order of priority daily-mean, daily-maximum, and daily minimum. Therefore, only a single record for a well and day are present in the dataset. The duplicate search removed 876 records and 31 wells were involved; in total, this is about 0.3 percent of the database. References: Asquith, W.H., Seanor, R.C., 2019, infoGW2visGWDB—An R groundwater data-processing utility for manipulating, checking the veracity, and converting an "infoGW" object to the "GWmaster" object for the visGWDB software with demonstration for the Mississippi River Valley alluvial aquifer: U.S. Geological Survey software release, Reston, Va., https://doi.org/10.5066/P9MK0B6L. Painter, J.A., and Westerman, D.A., 2018. Mississippi Alluvial Plain extent, November 2017: U.S. Geological Survey data release, https://doi.org/10.5066/F70R9NMJ. U.S. Geological Survey, 2020, USGS water data for the Nation: U.S. Geological Survey National Water Information System database, accessed April 2, 2020, at https://doi.org/10.5066/F7P55KJN.

Data regarding state river water levels, flow, and storage. Updated every weekday. Statewide reports and specific river reports for:

• Border Rivers

• Barwon-Darling River Basin

• Gwydir River Basin

• Hunter River Basin

• Lachlan River Basin

• Macquarie River Basin

• Murray River Basin

• Murrumbidgee River Basin

• Namoi River Basin

• North Coast Rivers

• Sydney and South Coast Rivers

This dataset contains all available United States Geological Survey Surface Water Quality Measurement site locations as of March 14, 2002. The data is intended to be used as a guide to available surface water quality measurement sites, within the entire Northeast Wyoming River Basins Planning Area. For site specific data, one can use this dataset to obtain the station number/name so that the actual water quality data necessary for analyses can be obtained from the USGS. A total of 57 surface water quality monitoring sites are available. 17 sites measure stream water quality and 21 measure lake/reservoir water quality. 1 site reports real-time, daily, and peak streamflows in addition to water quality. 16 sites report daily and peak flows along with water quality. 1 reports peak flows and 1 report daily flows in addition to water quality. One site reports daily flows, well water levels, and water quality. The 57 sites included in this dataset may also be found in the "Northeast Wyoming River Basins Plan - United States Geological Survey National Water Inventory System Sites" dataset.

In 1991, the U.S. Geological Survey (USGS) began a study of more than 50 major river basins across the Nation as part of the National Water-Quality Assessment (NAWQA) project of the National Water-Quality Program. One of the major goals of the NAWQA project is to determine how water-quality conditions change over time. To support that goal, long-term consistent and comparable monitoring has been conducted on streams and rivers throughout the Nation. Outside of the NAWQA project, the USGS and other Federal, State, and local agencies also have collected long-term water-quality data to support their own assessments of changing water-quality conditions. Data from these multiple sources have been combined to support one of the most comprehensive assessments conducted to date of water-quality trends in the United States. In order to interpret these water-quality trends, it is important to also understand how streamflow has changed during the same period. This USGS data release contains all of the input and output files necessary to reproduce the analyses of trends in streamflow described in the U.S. Geological Survey Scientific Investigations Report. Data preparation for input to the model is also fully described in the above mentioned report.

Monthly rollup of the discrete and daily-aligned groundwater levels were created from Robinson, Asquith, and Seanor (2020) data products with removal of the paired groundwater and surface-water sites listed by Robinson, Killian, and Asquith (2020). The monthly rollup is composed of (1) computed monthly "mean" values regardless of whether a well had one measurement in the month or up to about 30 days of daily-mean values, (2) standard deviation of the water levels within the month (sample size is generally just one day but for recorder sites could be up to about 30 days), (3) the last water level in the month, and (4) monthly counts of water levels. The algorithm is available within the sources of visGWDBmrva (Asquith and others, 2019). A comment is made that the string 1980-01-01_2019-12-31 is retained in the file naming to parallel that for Robinson, Asquith, and Seanor (2020) files although the day of the month has no meaning for a monthly rollup. There are 18,736 unique wells of statistics; 18,736 wells in the metadata; and 107,568 year-month entries in the monthly rollup product. References: Asquith, W.H., Seanor, R.C., McGuire, V.L. (contributor), and Kress, W.H. (contributor), 2019, Source code in R to quality assure, plot, summarize, interpolate, and extend groundwater-level information, visGWDB—Groundwater-level informatics with demonstration for the Mississippi River Valley alluvial aquifer: U.S. Geological Survey software release, Reston, Va., https://doi.org/10.5066/P9W004O6.

This dataset contains all available United States Geological Survey Surface Water Quality Measurement site locations as of March 14, 2002. The data is intended to be used as a guide to available surface water quality measurement sites, within the entire Powder/Tongue River Basin Planning Area. For site specific data, one can use this dataset to obtain the station number/name so that the actual water quality data necessary for analyses can be obtained from the USGS. A total of 109 surface water quality monitoring sites are available. 60 sites measure stream water quality and 9 measure lake/reservoir water quality. 5 sites reports real-time, daily, and peak streamflows in addition to water quality. 31 sites report daily and peak flows along with water quality. 2 report peak flows and 2 report daily flows in addition to water quality. The 109 sites included in this dataset may also be found in the "Powder/Tongue River Basin Plan - United States Geological Survey National Water Inventory System Sites" dataset.

This dataset contains all available United States Geological Survey Water Measurement well site locations as of March 14, 2002. The data is intended to be used as a guide to available well measurement sites, within the entire Northeast Wyoming River Basins Planning Area. For site specific data, one can use this dataset to obtain the station number/name so that the well water-level data necessary for analyses can be obtained from the USGS. A total of 2428 well sites of all types (Collector/Ranney & Non-collector) are available. 1918 sites report only water levels, 34 wells report both water levels and daily streamflow, and 475 wells report water levels and water quality. One well reports daily streamflow, water levels, and water quality. The 2428 wells may also be found in the "Northeast Wyoming River Basins Plan - United States Geological Survey National Water Inventory System Sites" and the "Northeast Wyoming River Basins Plan - United States Geological Survey National Water Inventory System Ground Water Quality Monitoring Sites" datasets.

This dataset contains all available United States Geological Survey Water Measurement well site locations as of March 14, 2002. The data is intended to be used as a guide to available well measurement sites, within the entire Powder/Tongue River Basin Planning Area. For site specific data, one can use this dataset to obtain the station number/name so that the well water-level data necessary for analyses can be obtained from the USGS. A total of 2150 well sites of all types (Collector/Ranney & Non-collector) are available. 1832 sites report only water levels, one well reports both water levels and daily streamflow, and 317 wells report water levels and water quality. The 2150 wells may also be found in the "Powder/Tongue River Basin Plan - United States Geological Survey National Water Inventory System Sites" and the "Powder/Tongue River Basin Plan - United States Geological Survey National Water Inventory System Ground Water Quality Monitoring Sites" datasets.

Time series of modelled daily flow rates in megalitres per day across the NSW river systems – Border Rivers Valley. Individual for each available river gauge data sets are attained via best available at the time of publishing hydrologic model/s and over the historic climate period (usually from early to mid-1890s to a water year previous to the date of publishing). Specific scenario data sets are expected to be updated annually and subject to quality requirements may be used in relevant studies. The naming structure of the individual files is "Gauge number_watercourse@Gauge name". Data and Resources

Daily streamflow and reservoir water elevation data for modeled locations in the Red River Basin. Values reported are for 18 different GCM (Global Climate Model) / RCP (Representative Concentration Pathway) / GDM Downscaling scenarios. Climate data from each scenario was input into a Variable Infiltration Capacity (VIC) model, that output flow values. These values were then input into RiverWare, to determine the impacts on regulated flows, lake levels and water availability. RiverWare was used for this project, because of its ability to simulate water use, reservoir operations, and local/interstate regulations.

Here we provide the data set obtained as described in detail in Antico et al. (2018, doi:10.1002/2017WR020897); a brief description is presented below. We imaged and digitized paper format official national data of daily Paraná water level observations taken at Rosario City, Argentina, from January 1875 to July 2017. Quality checks were applied to the digitized official daily levels in order to flag suspicious values. A corrected version of the official level data was obtained by eliminating the errors caused by gauge sinkings that may have occurred from 1875 to 1908. A rating curve was obtained for Rosario and it was used to convert official and corrected levels into official and corrected discharges, respectively. The water level and discharge data provided here constitute the longest (last 143 years) continuous hydrometric records of the Paraná River, one of the ten largest rivers in the world.

Paraná River hydrometric data from 1875 to 1883 were previously published in the Pangaea database (https://doi.org/10.1594/PANGAEA.882613). Recently, we obtained similar but more accurate data, which are briefly described below (see details in Antico et al. 2020). We imaged and digitized typewritten data of daily Paraná water levels observed at Rosario City, Argentina, from January 1875 to December 1883. Since these data were published by the Argentinian government, they are referred here as “official” data. Quality checks were applied to the official water levels in order to flag suspicious values. A corrected version of the official level data was obtained by correcting errors caused by a gauge sinking. A rating curve was used to convert official and corrected levels into official and corrected discharges, respectively. Water level and discharge data are available here as daily values and monthly means. To obtain monthly means, we used only the daily values that passed all the quality checks.

No description is available. Visit https://dataone.org/datasets/ca1ba05334e6c3b8ab92a0a36e93586b for complete metadata about this dataset.

Record of James Ave. river levels. Values are in James feet. Daily river elevations recorded at 7 a.m. CST. Please see James Avenue datum http://winnipeg.ca/waterandwaste/drainageFlooding/riverlevels/thisYear.stm for more details.

The dataset is composed by 12 files reporting the water availability and temperature scenarios for 167 water-dependent power plants in the Danube river basin and the Iberian Peninsula.

The dataset is split into multiple files by region (Danube river basin (Danube) or Iberian Peninsula (IP)), variable (discharge or river temperature) and scenario (baseline, RCP26 or RCP85) considered.

The title of each file is composed by the variable reported (discharge or river temperature) and the scenario considered (baseline: 1951-2004, RCP26: 2006-2100, RCP85: 2006-2100). The first row is used to report the fields considered: the first three columns report the day, the month and the year. The remaining columns report the name of the power plant considered in each region (57 for the Daube river basin and 110 for the Iberian Peninsula). In each row day, month, year and streamflow or river temperature values are reported for every water-dependent power plant examined in the study.

Temperature is reported as daily average temperature in degrees Celsius (°C) while water availability is reported as daily average streamflow in cubic meters per second (m^3/s).

For a description on how these files were obtained, please refer to https://doi.org/10.2777/135510.

305b Assessed 2012 River, Lake, Estuary set: Connecticut 305b Assessed River 2012 is a 1:24,000-scale, line feature-based layer that includes rivers that have been assessed to comply with Sections 305(b) and 303(d) of the federal Clean Water Act. Section 305(b) of the Clean Water Act requires each state to monitor, assess and report on the quality of its waters relative to attainment of designated uses established by the State's water quality standards. Section 303(d) requires each State to compile a subset of that list identifying only those waters not meeting water quality standards and assign a Total Maximum Daily Load (TMDL) priority ranking to each impaired waterbody. This layer is based on information collected and compiled prior to 2012. It represents conditions at a particular point in time and does not represent current conditions. This layer includes only rivers that were assessed in the time period above referenced. It can be used with the 2012 Connecticut 305b Assessed Lake layer and the Connecticut 305b Assessed Estuary layer to geographically display attainment and non-attainment for each designated use on assessed waters within Connecticut's boundaries. Features are lines that represent the locations of assessed rivers. The sources for these features include the hydrography layer and the water quality classification layer. Attribute information is comprised of a unique identifier (segment ID) for each feature, the name of the waterbody, its _location, the assessment cycle (year), the water type, the water quality class goal, the length of the feature in miles, the National Hydrography Dataset basin number, and the assessment for the following categories: aquatic life, recreation, fish consumption, and drinking water supply. Data is compiled at 1:24,000 scale. This dataset is not updated. For more information, please refer to the following report: "State of Connecticut Integrated Water Quality Report" at http://www.ct.gov/dep/lib/dep/water/water_quality_management/305b/2012_iwqr_final.pdf Connecticut 305b Assessed Lake 2012 is a 1:24,000-scale, polygon feature-based layer that includes lakes that have been assessed in compliance with Sections 305(b) and 303(d) of the federal Clean Water Act. Section 305(b) of the Clean Water Act requires each state to monitor, assess and report on the quality of its waters relative to attainment of designated uses established by the State's water quality standards. Section 303(d) requires each State to compile a subset of that list identifying only those waters not meeting water quality standards and assign a Total Maximum Daily Load (TMDL) priority ranking to each impaired waterbody. This layer is based on information collected and compiled prior to 2012. It represents conditions at a particular point in time and does not represent current conditions. This layer includes only assessed lakes. It can be used with the 2012 Connecticut 305b Assessed River layer and the Connecticut 305b Assessed Estuary layer to geographically display attainment and non-attainment for each designated use on assessed waters within Connecticut's boundaries. Features are polygon locations that represent the locations of assessed lakes. The sources for these features include the hydrography layer and the water quality classification layer. Attribute information is comprised of the Connecticut lake identification number, a unique identifier for each feature, the name of the waterbody, its _location, the assessment cycle (year), the water type, the water quality class goal, the length of the feature in miles, the National Hydrography Dataset basin number, and the assessment for the following categories: aquatic life, recreation, fish consumption, and drinking water supply. Data is compiled at 1:24,000 scale. This dataset is not updated. For more information, please

Daily streamflow and reservoir water elevation data for modeled locations in the Red River Basin. Values reported are for 18 different GCM (Global Climate Model) / RCP (Representative Concentration Pathway) / GDM Downscaling scenarios. Climate data from each scenario was input into a Variable Infiltration Capacity (VIC) model, that output flow values. These values were then input into RiverWare, to determine the impacts on regulated flows, lake levels and water availability. RiverWare was used for this project, because of its ability to simulate water use, reservoir operations, and local/interstate regulations.

Abstract

This dataset was supplied to the Bioregional Assessment Programme by a third party and is presented here as originally supplied. Metadata was not provided and has been compiled by the Bioregional Assessment Programme based on known details at the time of acquisition.

Mean monthly flow (ML/month) and Annual flow (ML/yr) data at key gauges in the Macalister Irrigation District (MID) as monitored by SRW. The data are provided in MS Excel format in worksheets and charts.

Data used to produce Time-series drainage volume data provided by a third party. Site information and monitoring drainage flow data provided by the Southern Rural Water are specific to the Macalister Irrigation District.

Time specific data in the range 23/07/1997 to 31/12/2013

Dataset History

This dialogue has been copied from a draft of the BA-GIP report.

A total of 197 river gauges were identified within the model area representing all of the major rivers. Daily gauge level data was sourced from the Victorian Department of Environment, Land, Water and Planning Water Measurement Information System (WMIS, 2015). A list of the river gauges is provided in the report for key river basins

Only main stems of the major rivers were included in the model. These river reaches were identified using the DEPI hydro25 spatial data set (DEPI, 2014). The river classification was used to vary river incision depth (depth below the ground surface as defined by the digital elevation model) and width attributes. In the absence of recorded stage height information, river classification was used to estimate river stage heights. A total of 22,573 river cells are included in the model. Fifty-one gauges were selected to calibrate the catchment modelling framework in unregulated catchments based on Base Flow Indexes and observed stream flows.

Drainage channels and man-made drainage features in the Macalister Irrigation District (MID) were included in the model based on available drainage network mapping. This information was sourced from Southern Rural Water (SRW) and the DEPI Corporate Spatial Data library. Drainage cells are assigned to the uppermost cells within the model to capture groundwater discharge processes. Drain cells in Modflow can only act as groundwater discharge points and as such those cells outside drainage channels will be characterised as having a bed elevation equivalent to ground surface elevation. A total of 410,504 drainage cells are incorporated in the model. Apart from 3 river gauges sourced from the WMIS, SRW also has 15 gauges monitored drainage from the MID. The measurements commenced between 1997 and 2005. Of the 15 gauges, six were selected to calibrate the catchment modelling framework based on observed discharge.

Dataset Citation

Victorian Department of Economic Development, Jobs, Transport and Resources (2015) Mean monthly flow & annual flow data - Macalister Irrigation District. Bioregional Assessment Source Dataset. Viewed 05 October 2018, http://data.bioregionalassessments.gov.au/dataset/6ba89d78-1e42-4e02-bd5c-a435ee15bef4.

The lightweight web app shows the locations of several river and lake stations where water levels and/or flow data are collected in Manitoba. The web map shows the locations of several river and lake stations where water levels and/or flow data are collected. When you click on a location on this map, a pop-up box will appear. The pop-up box contains various water level and/or flow data, as well as forecast information. Please note these conditions regarding the information contained in the pop-up boxes:The information on this map is updated daily at 1:00 pm during the spring runoff period, based on water levels and flows collected earlier in the morning. The water levels and flows should be considered preliminary data as they could be affected by ice, wind, or monitoring equipment malfunctions. While the department undertakes due diligence in utilizing this data, final quality control checked data is published by Water Survey of Canada, our main data provider, after the spring runoff. Forecasted peak information is the most recent data available. Forecasts are evaluated daily and any updates are included in the Daily Flood Sheets and the Flood Report; both of these are available on the Manitoba Flood Forecast website. If the updated forecasts will not be available until later in the afternoon, the forecasted peak information in the pop-up boxes will be from yesterday’s Daily Flood Sheets.Pop-up boxes include the following information: Station Name: station name where the water level and/or flow data are collected Station ID: unique identifier for the station Flood Alert: indicates if the current water level is over the flood stage, over the river bank but below the flood stage, or below the river bank. Last Update: date that water level and/or flow data was collected Flow: measured or calculated flow in cubic feet per second Level: measured water level in feet Forecasted Flow: the forecasted peak flow in cubic feet per second Forecasted Level: the water level at the forecasted peak in feet Peak Date: date when the peak is forecasted to occur Flood Stage (dike level) (ft): the water level (ft) at which flow overtops community flood protection dike-structures Bankfull Capacity - flow (cfs): the approximate flow (in cubic feet per second) when the water level is at the top of the bank Bankfull Capacity - level (ft): the water level (in feet) when the water is at the top of the bank Reference Years: years when the peak water levels were similar to the forecasted peak water level this year“Flood Alert” definitions: Flood Warning: A flood warning is issued when water levels are above or expected to be above channel capacity within the next 24 hours, resulting in minor to major flooding. Water is beyond the channel capacity and expected to flood adjacent areas, agricultural fields and/or infrastructure in the area. High Water Advisory / Flood Watch: A high water advisory is issued when water levels are above seasonal levels. A High Water Advisory can be an early indicator for conditions that may develop into a Flood Watch. A flood watch is issued when water levels are nearing channel capacity, but not expected to reach channel capacity within the next 24 hours. Minor to no flooding is expected at these levels, but water may begin to overflow into nearby low-lying marshland, parkland or floodplain areas with little to no impact. A Flood Watch can be an early indicator for conditions that may develop into a Flood Warning. Above Community Flood Protection Level: Water levels are above or projected to be above the community dike levels within 24 hours, causing major flooding.

This report serves to summarize the work that has been completed on erosion and stability since the last report was submitted in December 2009. The work carried out for this report includes additional field work to characterize the permeability and erodibility of the bank soils, improved numerical simulations of river flow and bank stability, as well as analyses of step-down scenarios and overbank flows.