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Dataset results
1,265 results for “discharges”
Toolik Inlet Discharge Data collected in summer 2002, Arctic LTER, Toolik Research Station, Alaska.
Stream discharge, stage height, temperature, and conductivity of Toolik Inlet during the 2002 study season.
Toolik Inlet Discharge Data collected in summer 2003, Arctic LTER, Toolik Research Station, Alaska.
Stream discharge, stage height, temperature, and conductivity of Toolik Inlet during the 2003 study season.
Toolik Inlet Discharge Data collected in summer 1991, Arctic LTER, Toolik Research Station, Alaska.
Stream discharge, stage height, temperature, and conductivity of Toolik Inlet during the 1991 study season.
Toolik Inlet Discharge Data collected in summer 1992, Arctic LTER, Toolik Research Station, Alaska.
Stream discharge, stage height, temperature, and conductivity of Toolik Inlet during the 1992 study season.
Toolik Inlet Discharge Data collected in summer 1993, Arctic LTER, Toolik Research Station, Alaska.
Stream discharge, stage height, temperature, and conductivity of Toolik Inlet during the 1993 study season.
Toolik Inlet Discharge Data collected in summer 1994, Arctic LTER, Toolik Research Station, Alaska.
Stream discharge, stage height, temperature, and conductivity of Toolik Inlet during the 1994 study season.
Toolik Inlet Discharge Data collected in summer 1995, Arctic LTER, Toolik Research Station, Alaska.
Stream discharge, stage height, temperature, and conductivity of Toolik Inlet during the 1995 study season.
Toolik Inlet Discharge Data collected in summer 1996, Arctic LTER, Toolik Research Station, Alaska.
Stream discharge, stage height, temperature, and conductivity of Toolik Inlet during the 1996 study season.
Toolik Inlet Discharge Data collected in summer 1997, Arctic LTER, Toolik Research Station, Alaska.
Stream discharge, stage height, temperature, and conductivity of Toolik Inlet during the 1997 study season.
Toolik Inlet Discharge Data collected in summer 1998, Arctic LTER, Toolik Research Station, Alaska.
Stream discharge, stage height, temperature, and conductivity of Toolik Inlet during the 1998 study season.
Toolik Inlet Discharge Data collected in summer 1999, Arctic LTER, Toolik Research Station, Alaska.
Stream discharge, stage height, temperature, and conductivity of Toolik Inlet during the 1999 study season.
Tussock Watershed stream discharge, electrical conductivity, and temperature measurements from 2004
Tussock Watershed stream discharge, electrical conductivity, and temperature measurements from 2004.
Tussock Watershed stream discharge, electrical conductivity, and temperature measurements from 2003
Tussock Watershed stream discharge, electrical conductivity, and temperature measurements from 2003.
Tussock Watershed stream discharge, electrical conductivity, and temperature measurements from 2005
Tussock Watershed stream discharge, electrical conductivity, and temperature measurements from 2005.
PIE LTER, Year 2013-2018, remote sensing derived sediment concentration maps, movies, transect averaged sediment concentation, water level, dh/dt, wind direction and speed, river discharges at Plum Island Sound, Massachusetts.
PIE LTER, Year 2013-2018, remote sensing (Landsat8 OLI sensors and Sentinel-2A/2B) derived sediment concentration maps, transect averaged sediment concentation, water level, dh/dt, wind direction and speed, river discharges for Plum Island Sound estuary, Massachusetts.
Stream Discharge for Cobb Mill Creek at the Virginia Coast Reserve 2002-2003 and 2010-2011
This dataset contains stream discharge data for Cobb Mill Creek for two 12-14 month-long time periods:Â from 02-28-2002 through 04-20-2003, and from 10-01-2010 through 9-30-2011.
A flood inundation hindcast for Europe based on 26-year simulated river discharge
<p>This data set contains hydrodynamic simulations at 1 km for Europe between 1990-2016 at a daily time step for 298 basins.</p>
Sliding velocity, water discharge and basal shear stress time series at Argentière Glacier
<p>The data set contains all data presented in:</p> <p>Gimbert, F., Gilbert, A., Gagliardini, O., Vincent, C., & Moreau, L. (2021). Do Existing Theories Explain Seasonal to Multi-Decadal Changes in Glacier Basal Sliding Speed? <em>Geophysical Research Letters</em>, <em>48</em>(15), e2021GL092858. <a href="https://doi.org/10.1029/2021GL092858">https://doi.org/10.1029/2021GL092858</a></p> <p>and also in:</p> <p>Gilbert, A., Gimbert, F., Thøgersen, K., Schuler, T. V., & Kääb, A. (2022). A Consistent Framework for Coupling Basal Friction with Subglacial Hydrology on Hard-bedded Glaciers. <em>Geophysical Research Letters</em>, <em>49</em>, e2021GL097507. <a href="https://doi.org/10.1029/2021GL097507">https://doi.org/10.1029/2021GL097507</a></p> <p>Files Description:</p> <p>==================================<br> SlidingVelocities1989_2019.csv :<br> ==================================</p> <p>Contains daily values of recorded sliding velocities at the wheel.</p> <p>Column 1 = Date<br> Column 2 = Daily Values (cm/day)</p> <p>================================<br> BasalShearStress1980_2019.csv :<br> ================================</p> <p>Contains daily values of inferred basal shear stress at the wheel.</p> <p>Column 1 = Date<br> Column 2 = Daily Values (MPa)</p> <p>================================<br> WaterDischarge1985_2019.csv :<br> ================================</p> <p>Contains daily values of recorded water discharge at the glacier outlet</p> <p>Column 1 = Date<br> Column 2 = Daily Values (m3/s)</p>
Dataset for submission of "Correction of river bathymetry parameters using the stage–discharge rating curve"
<p>Dataset for submission of "Correction of river bathymetry parameters using the stage–discharge rating curve". </p>
Perturbed Synthetic SWOT Datasets for Testing and Development of a Kalman Filter Approach to Estimate Daily Discharge
<p><strong>1. Introduction</strong></p> <p>Datasets are used to evaluate the performance of a Kalman filter approach to estimate daily discharge. This is a perturbed version of synthetic SWOT datasets consisting of 15 river sections, which are commonly agreed datasets for evaluating the performance of SWOT discharge algorithms (Frasson et al., 2020, 2021). The benchmarking manuscript entitled “A Kalman Filter Approach for Estimating Daily Discharge Using Space-based Discharge Estimates” is currently under review at Water Resources Research. Once the manuscript is accepted, its DOI will be included here.</p> <p> </p> <p><strong>2. </strong><strong>File description</strong></p> <p>The datasets are generally divided into two categories: river information (River_Info) and time series data (Timeseries_Data). River information provides fundamental and general river characteristics, whereas time series data offers daily reach-averaged data for each reach. In time series data, the data mainly contains three components: true data, perturbed measurements, and true and perturbed flow law parameters (A0, an, and b). For each reach, there are 10000 realizations of perturbed measurements per time step and there are 100 realizations of time-invariant perturbed flow law parameters through a Monte Carlo simulation (Frasson et al., 2023). Moreover, to support our proposed Kalman filter approach to estimate daily discharge, the datasets provide the median of the perturbed discharge, river width, water surface slope, and change in the cross-sectional area, as well as the uncertainty of the perturbed discharge and change in the cross-sectional area based on the interquartile range (Fox, 2015).</p> <p>To support reproducibility and facilitate example usage, we now include a MATLAB code package (<code>KalmanFilter_Code.zip</code>) that demonstrates how to run the Kalman filter approach using the Missouri Downstream case as an example. </p> <p>Datasets are contained in a .mat file per river. The detailed groups and variables are in the following:</p> <p><strong>River_Info</strong></p> <p>Name: River name, data type: char</p> <p>QWBM: Mean annual discharge from the water balance model WBMsed (Cohen et al., 2014)</p> <p>rch_bnd: Reach boundaries measured in meters from the upstream end of the model</p> <p>gdrch: Good reaches in the study. They were used to exclude small reaches defined around low-head dams and other obstacles where Manning’s equation should not be applied.</p> <p><strong>Timeseries_Data</strong></p> <p>t: Time measured in days since the first day or “0-January-0000” for cases when specific dates were available. Dimension: 1, time step.</p> <p>A: Reach-averaged cross-sectional area of flow in m<sup>2</sup>. Dimension: Reach, time step.</p> <p>Q_true: True reach-averaged discharge (m<sup>3</sup>/s). Dimension: Reach, time step.</p> <p>Q_ptb: Perturbed discharge (m<sup>3</sup>/s), including 10000 realizations for each measurement. Dimension: Good reach, time step, 10000.</p> <p>med_Q_ptb: Median perturbed discharge (m<sup>3</sup>/s) across the 10000 realizations. Dimension: Good reach, time step.</p> <p>sigma_Q_ptb: Uncertainty of the perturbed discharge (m<sup>3</sup>/s), calculated based on the interquartile range. Dimension: Good reach, time step.</p> <p>W_true: True reach-averaged river width (m). Dimension: Reach, time step.</p> <p>W_ptb: Perturbed river width (m), including 10000 realizations for each measurement. Dimension: Good reach, time step, 10000.</p> <p>med_W_ptb: Median perturbed river width (m) across the 10000 realizations. Dimension: Good reach, time step.</p> <p>H_true: True reach-averaged water surface elevation (m). Dimension: Reach, time step.</p> <p>H_ptb: Perturbed water surface elevation (m), including 10000 realizations for each measurement. Dimension: Good reach, time step, 10000.</p> <p>S_true: True reach-averaged water surface slope (m/m). Dimension: Reach, time step.</p> <p>S_ptb: Perturbed water surface slope (m/m), including 10000 realizations for each measurement. Dimension: Good reach, time step, 10000.</p> <p>med_S_ptb: Median perturbed water surface slope (m/m) across the 10000 realizations. Dimension: Good reach, time step.</p> <p>dA_true: True reach-averaged change in the cross-sectional area (m<sup>2</sup>). Dimension: Good reach, time step.</p> <p>dA_ptb: Perturbed change in the cross-sectional area (m<sup>2</sup>), including 10000 realizations for each measurement. Dimension: Good reach, time step, 10000.</p> <p>med_dA_ptb: Median perturbed change in the cross-sectional area (m<sup>2</sup>) across the 10000 realizations. Dimension: Good reach, time step.</p> <p>sigma_dA_ptb: Uncertainty of the perturbed change in the cross-sectional area (m<sup>2</sup>), calculated based on the interquartile range. Dimension: Good reach, time step.</p> <p>A0_true: True baseline cross-sectional area (m<sup>2</sup>). Dimension: Good reach, 1.</p> <p>A0: Perturbed baseline cross-sectional area (m<sup>2</sup>), including 100 realizations for each parameter. Dimension: Good reach, 100.</p> <p>na_true: True friction coefficient. Dimension: Good reach, 1.</p> <p>na: Perturbed friction coefficient, including 100 realizations for each parameter. Dimension: Good reach, 100.</p> <p>b_true: True exponent coefficient. Dimension: Good reach, 1.</p> <p>b: Perturbed exponent coefficient, including 100 realizations for each parameter. Dimension: Good reach, 100.</p>
ScienceDex guides
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.