Skip to main content
Powered by ShareScore

Find research datasets worth reusing

Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.

6

datasets available to search

ShareScore release 0.9.0

Reset

Dataset results

6 results for “Open-channel flows”

Learn how ShareScore rates datasets ↗
zenodo40/100

ADCP data of ice-covered and open-channel (macro-turbulent) flow, Pulmanki River, 2016-2020

<p>README of ADCP_data_Lotsari_et_al_Water_opened.zip</p> <p><br> The ADCP data was the basis of the following paper:<br> Macro-turbulent flow and its impacts on sediment transport potential of a subarctic river during ice-covered and open-channel conditions&nbsp;<br> Eliisa Lotsari (1, 2), Michael Dietze (3), Maria K&auml;m&auml;ri (4), Petteri Alho (2,5), Elina Kasvi (6,2)</p> <p>1 Department of Geographical and Historical Studies, University of Eastern Finland, Yliopistokatu 2, P.O. Box 111, FI-80101, Joensuu, Finland. eliisa.lotsari@uef.fi<br> 2 Department of Geography and Geology, University of Turku, FI-20014 Turun yliopisto, Turku, Finland.<br> 3 Section 4.6 Geomorphology, German Research Centre for Geosciences GFZ Potsdam, D-14473 Potsdam, Germany. mdietze@gfz-potsdam.de<br> 4 Finnish Environment Institute, Latokartanonkaari 11, FI-00790 Helsinki, Finland. maria.kamari@ymparisto.fi<br> 5 Finnish Geospatial Research Institute, National Land Survey of Finland, Geodeetinrinne 2, FI-02430, Masala, Finland. mipeal@utu.fi<br> 6 Turku University of Applied Sciences, Joukahaisenkatu 3, FI-20520, Turku, Finland. elina.kasvi@turkuamk.fi</p> <p>(Note: During the time of data gathering, Maria K&auml;m&auml;ri worked at the University of Eastern Finland, and Elina Kasvi at the University of Turku)</p> <p>The data set has been measured with Sontek M9 or S5 sensors, depending on the time step (Table 1).</p> <p>Table 1. The measurement times, their acronyms (applied in the above mentioned publication)<br> and applied sensors. In the acronyms of the measurement times W=winter low flow period, S=spring<br> (snow-melt flood period), A=autumn low flow period. These information are presented also<br> in the Table 1 of the above-mentioned publication.<br> Date&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; &nbsp;Acronym &nbsp;Sensor<br> 17.2.2016&nbsp;&nbsp; &nbsp;W2016&nbsp;&nbsp;&nbsp;&nbsp;M9<br> 25.5.2016&nbsp;&nbsp; &nbsp;S2016&nbsp;&nbsp;&nbsp;&nbsp;S5&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;<br> 10.9.2016&nbsp;&nbsp; &nbsp;A2016&nbsp;&nbsp;&nbsp;&nbsp;M9<br> 16.2.2017&nbsp;&nbsp; &nbsp;W2017&nbsp;&nbsp;&nbsp;&nbsp;M9&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;<br> 31.5.2017&nbsp;&nbsp; &nbsp;S2017&nbsp;&nbsp;&nbsp;&nbsp;M9&nbsp;&nbsp;&nbsp;&nbsp;<br> 9.9.2017&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; &nbsp;A2017&nbsp;&nbsp;&nbsp;&nbsp;M9&nbsp;&nbsp;&nbsp;&nbsp;<br> 9.2.2018&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; &nbsp;W2018&nbsp;&nbsp;&nbsp;&nbsp;M9&nbsp;&nbsp;&nbsp;&nbsp;<br> 23.5.2018&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; &nbsp;S2018&nbsp;&nbsp;&nbsp;&nbsp;S5&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;<br> 8.9.2018&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; &nbsp;A2018&nbsp;&nbsp;&nbsp;&nbsp;S5&nbsp;&nbsp;&nbsp;&nbsp;<br> 8.2.2019&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; &nbsp;W2019&nbsp;&nbsp;&nbsp;&nbsp;M9&nbsp;&nbsp;&nbsp;&nbsp;<br> 21.5.2019&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; &nbsp;S2019&nbsp;&nbsp;&nbsp;&nbsp;M9&nbsp;&nbsp;&nbsp;&nbsp;<br> 6.2.2020&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; &nbsp;W2020&nbsp;&nbsp;&nbsp;&nbsp;M9&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;</p> <p>RiverSurveyor Live software, and its most recent version, was used each time.<br> The measurements have been done at Pulmanki River (69&deg;55&#39;59.09&quot; N; &nbsp;28&deg; 2&#39;34.32&quot; E), Northern Finland, during 2016 - 2020.&nbsp;<br> The data is in directories of corresponding measurement times. The measurement<br> locations cs1, cs2, cs3, cs4, csA, csB and csC can be found in the paper (Figs. 1 and 2).&nbsp;<br> The data is in raw Matlab file format, as exported from the RiverSurveyor Live software.<br> The coordinate system is ENU.</p> <p>When used, the referencing to the paper and DOI ( 10.5281/zenodo.3855035 ) are required.</p>

opencc-by-4.0May 2020View details →
zenodo32/100

Effects of submerged flexible vegetation on scalar transport in an open-channel flow

<p>The data were used in the paper &quot;Effects of submerged flexible vegetation on scalar transport in an open-channel flow&quot; which was submitted to &quot;Water Resources Research&quot;.In this paper,&nbsp;a 3D numerical model simulating scalar transfer in water flow with flexible submerged vegetation is&nbsp;established. The effects of vegetation on enhancing&nbsp;the scalar transfer and the selection of turbulent&nbsp;Schmidt number are investigated by numerical simulations.</p>

opencc-by-4.0Dec 2022View details →
zenodo28/100

Data for "Turbulence modulation in non-uniform open-channel clay suspension flows"

<p>This dataset&nbsp;details experimental results on the flow structure of clay-laden flows, for the first time isolating the effect of non-uniformity on spatial deceleration and acceleration in open-channel flows.&nbsp;</p>

opencc-by-4.0Jun 2022View details →
zenodo28/100

Drag force on submerged flexible vegetation in an open-channel flow

Open the record for dataset details and reuse information.

opencc-by-4.0May 2024View details →
zenodo28/100

VAMONOS - Open-channel flow over weirs. Experimental data.

<p>This dataset contains the results from the experimental tests carried out at the hydraulics laboratory of the Civil Engineering School, at University of A Coru&ntilde;a (Spain), as part of the VAMONOS (Vertically-averaged models for non-hydrostatic flows) project (CTM2017-85171-C2-2-R). The aim of the project is the development of enhanced 2D river flow models including additional terms to account for non-hydrostatic pressure and mixed flow conditions around hydraulic structures.</p> <p>This data package includes experimental results on 9 different weir geometries that were tested in an open channel. The experimental facility consists of a 15 m flume with a square cross section of 0.5 x 0.5 m. Water depths were measured with an automatic data acquisition system on a grid of approximately 125 points. Each weir was tested under two different flow conditions. In all the tests the inlet discharge was close to 30 l/s, while the downstream water level was varied from one test to another, in order to obtain fully submerged and free discharge conditions.</p> <p>This dataset is structured in two pdf documents and three folders:</p> <ul> <li><em>Summary_tests.pdf</em>. This file summarizes all the experimental tests.&nbsp;</li> <li><em>Data_package_description.pdf</em>. This document includes information about the experimental facilities, the test conditions and the uploaded files.</li> <li><em>Raw_data.</em> This folder includes the raw data recorded during the tests.</li> <li><em>Matlab_files. </em>This folder contains three Matlab files (.m) that can be used to process the raw data and to generate some figures.</li> <li><em>Processed_data. </em>This folder contains three documents per weir that include the results obtained after processing the raw data. For each test, it is possible to find a pdf with the weir geometry and a text file with the results of the submerged and free discharge tests.</li> </ul> <p><strong>Those interested in experimental data for the calibration of numerical models or the analysis of empirical discharge rating curves, are suggested to work only with the data included in the folder <em>Processed_data.</em></strong></p> <p>Further details on the experimental setup are given in the document <em>Data_package_description.pdf</em></p>

opencc-by-4.0Jul 2020View details →
zenodo24/100

A unified flow resistance formular for open-channels with natural and engineered obstacles

<p>This repository contains data set used in the manuscript "A unified flow resistance formular for open-channels with natural and engineered obstacles" submitted to Water Resources Research by Xingyu Chen, Tao Wang, Jiamei Wang, Hongbo Ma, Marwan A. Hassan and Xudong Fu</p>

openapache2.0Oct 2024View details →

ScienceDex guides

Understand access before you commit

These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.

Compare curated 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.

allen-brain-atlas
neuroscienceopenDocumentation, web resources, and API references are available online.
Last verified 2026-04-30Open record

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.

abode-home-cage
behavioral-neuroscienceopenThe DataShare record exposes download links for annotations, documentation, license text, and the zipped per-snippet data directory.
Last verified 2026-04-30Open record

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.

dandi-nwb
electrophysiologyopenPublished Dandiset metadata and archive endpoints are available through the production DANDI API.
Last verified 2026-04-30Open record

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.

ibl
behavioral-neuroscienceopenPublic sessions can be searched and loaded from the IBL public data server through ONE.
Last verified 2026-04-29Open record

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.

openneuro
neuroscienceopenPublished datasets are available on demand over the internet.
Last verified 2026-04-29Open record