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.
105
datasets available to search
ShareScore release 0.9.0
Dataset results
105 results for “River Flow”
Data from: Riverscape genetics in brook lamprey: genetic diversity is less influenced by river fragmentation than by gene flow with the anadromous ecotype
<p><span><span>Understanding the effect of human induced landscape fragmentation on gene flow and evolutionary potential of wild populations has become a major concern. Here, we investigated the effect of riverscape fragmentation on patterns of genetic diversity in the freshwater resident </span><span><span>European </span></span><span>brook lamprey (</span><i><span><span>Lampetra planeri</span></span></i><span>) that has a low ability to pass obstacles to migration. We also tested the hypotheses of i) asymmetric gene flow following water current and ii) a </span><span><span>positive effect of</span></span><span> admixture with the closely related anadromous</span><span><span> river lamprey</span></span><span> (</span><i><span><span>L. fluviatilis</span></span></i><i><span><span>)</span></span></i><span> ecotype on </span><i><span><span>L. planeri</span></span></i><span> genetic diversity. We genotyped 2472 individuals, including 225 </span><i><span><span>L. fluviatilis</span></span></i><span>, sampled </span><span><span>from</span></span><span> 81 sites upstream and downstream barriers to migration, in 29 </span><span><span>western </span></span><span>European rivers. Linear modelling revealed a strong positive relationship between </span><span><span>genetic diversity and</span></span><span> the distance </span><span><span>from </span></span><span><span>the</span></span><span><span> river</span></span><span> source, consistent with expected patterns of decreased gene flow into upstream populations. However, the presence of anthropogenic barriers had a moderate effect on spatial genetic structure. Accordingly, we found evidence for downstream-directed gene flow, supporting the hypothesis that barriers do not limit dispersal </span><span><span>mediated by</span></span><span> water flow. Downstream </span><i><span><span>L. planeri </span></span></i><span>populations in sympatry with </span><i><span><span>L. fluviatilis </span></span></i><span>displayed consistently higher genetic diversity. We conclude that genetic drift and slight downstream gene flow drive the genetic </span><span><span>make-</span></span><span>up of upstream </span><i><span><span>L. planeri </span></span></i><span>populations</span><i><span> </span></i><span>whereas admixture between ecotypes maintains higher levels of genetic diversity in </span><i><span><span>L. planeri </span></span></i><span>populations</span><i><span> </span></i><span>sympatric</span><i><span> </span></i><span>with </span><i><span><span>L. fluviatilis</span></span></i><span>. We discuss the implications of these results for the design of conservation strategies of lamprey, and other freshwater organisms with several ecotypes, in fragmented dendritic river networks. </span></span></p>
Marilao River Flow Direction
<p>Marilao River Flow Direction</p>
Data from: Flow restoration and the impacts of multiple stressors on fish communities in regulated rivers
River regulation for hydropower is undertaken worldwide, causing profound alterations to hydrological regimes and running water habitats. Regulated catchments are often subjected to additional stressors, arising inter alia from agriculture, forestry and industry, which are likely to interact with impacts of river regulation on fish and other biota. Such interactions are poorly understood, hindering planning of effective mitigation and restoration. We investigated fish responses to increased discharge (as a restoration measure) in regulated rivers in Sweden. We compiled electrofishing data from river channels downstream of hydropower dams, each of which either has or lacks a mandated minimum discharge corresponding to c. 5% of pre‐regulation discharge. We further analysed interactions between flow restoration and co‐occurring local and regional stressors. River channels without a mandated minimum discharge were characterised by a low diversity of fish species with traits favouring persistence under unpredictable environmental conditions, including omnivory, short life cycles and small size. Additional stressors further reduced diversity, and increased dominance by broad niched, opportunistic species. Both the presence and magnitude of a mandated minimum discharge were positively related to fish diversity and density, and the relative density of three economically and recreationally valuable species. However, the size of these relationships frequently varied with the presence of additional stressors. Increasing levels of hydrological degradation and reduced connectivity at the catchment scale reduced positive flow‐ecology relationships and hindered restoration of fish communities towards reference conditions. However, application of a mandated minimum discharge also assisted in mitigating impacts of some co‐occurring stressors, especially reduced riparian integrity. Synthesis and applications. Additional stressors can strongly influence the outcomes of flow restoration for fish community diversity and composition. Our approach combining fish species and trait data from multiple flow restoration projects with information on additional stressors yielded valuable insights into factors affecting flow restoration success, useful for (i) identifying the systems most likely to benefit from mandated minimum flows, (ii) modelling influences of multiple stressors on flow‐ecology relationships, (iii) prioritising additional measures to manage co‐occurring stressors and enhance outcomes from flow restoration.
Data from: Examining the role of parasites in limiting unidirectional gene flow between lake and river sticklebacks
1. Parasites are important selective agents with the potential to limit gene flow between host populations by shaping local host immunocompetence. 2. We report on a contact zone between lake and river three-spined sticklebacks (Gasterosteus aculeatus) that offers the ideal biogeographic setting to explore the role of parasite-mediated selection on reproductive isolation. A waterfall acts as a natural barrier and enforces unidirectional migration from the upstream river stickleback population to the downstream river and lake populations. 3. We assessed population genetic structure and parasite communities over four years. In a set of controlled experimental infections, we compared parasite susceptibility of upstream and downstream fish by exposing laboratory-bred upstream river and lake fish, as well as hybrids, to two common lake parasite species: a generalist trematode parasite, Diplostomum pseudospathaceum and a host-specific cestode, Schistocephalus solidus. 4. We found consistent genetic differentiation between upstream and downstream populations across four sampling years, even though the downstream river consisted of ~10% first-generation migrants from the upstream population as detected by parentage analysis. Fish in the upstream population had lower genetic diversity and were strikingly devoid of macroparasites. Through experimental infections, we demonstrated that upstream fish and their hybrids had higher susceptibility to parasite infections than downstream fish. Despite this, naturally-sampled upstream migrants were less infected than downstream residents. Thus, migrants coming from a parasite-free environment may enjoy an initial fitness advantage, but their descendants seem likely to suffer from higher parasite loads. 5. Our results suggest that adaptation to distinct parasite communities can influence stickleback invasion success and may represent a barrier to gene flow, even between close and connected populations.
Extreme event of water flow in Tucurui River
<p>Video made by residents near the Tucurui River.</p>
VIC5 source code, parameter for the Colorado River Basin and USBR natural flow data records
<p>This parameter file is for VIC5 baseline simulation over the Colorado River basin.</p> <p>The spatial resolution is 1/16 degree.</p> <p>A few extra grid cells in the Mexico near the boarder is also unnecessarily included, which do not drainage to the CRB.</p> <p>Users can get rid of those pixels with a more precise domain mask.</p> <p>Also include VIC source code (see the readme.txt in the zipped file for details)</p> <p>The updates in Sep, 2022 includes the natural flow dataset used in the study for VIC streamflow evaluation</p>
SWOT-compliant GRDC river flow dataset for the estimation of Flow-Duration Curves
<p>This repository hosts the data used in the manuscript "Potential legacy of SWOT mission for the estimation of Flow-Duration Curves” by Alessio Domeneghetti, Serena Ceola, Alessio Pugliese, Simone Persiano, Irene Palazzoli, Attilio Castellarin, Alberto Marinelli, Armando Brath</p> <p><span>The study investigates the potential of the Surface Water and Ocean Topography (SWOT) mission for the estimation of Flow-Duration Curves (FDCs) globally. SWOT-like river flow data is derived from the Global Runoff Data Centre (GRDC) dataset by selecting river gauging stations with a cross section wider than 100 m and with more than 10-year long daily river flow time series. Overall, 1200 river gauging stations are considered, from which 24 alternative SWOT-like river flow datasets can be derived by assuming different satellite revisiting times, biases and random errors, as detailed in the manuscript.</span></p> <p><span>The dataset includes detailed features on the selected 1200 river gauging stations. GRDC river flow daily time series for each station is provided as .csv. A .shp file provides the geographical location of each GRDC gauging station, including GRDC number, river, gauging station municipality, country, latitude and longitude, contributing area, altitude and Köppen-Geiger climate classification.</span></p>
Quality check of river flow data worldwide
Quality characteristics for 21586 river flow time series from 13 datasets worldwide. The 13 datasets are: the Global Runoff Database from the Global Runoff Data Center (GRDC), the Global River Discharge Data (RIVDIS; Vörösmarty et al., 1998), Surface-Water Data from the United States Geological Survey (USGS), HYDAT from the Water Survey of Canada (WSC), WISKI from the Swedish Meteorological and Hydrological Institute (SMHI), Hidroweb from the Brazilian National Water Agency (ANA), National data from the Australian Bureau of Meteorology (BOM), Spanish river flow data from the Ecological Transition Ministry (Spain), R-ArcticNet v. 4.0 from the Pan-Arctic Project Consortium (R-ArcticNet), Russian River data (NCAR-UCAR; Bodo, 2000), Chinese river flow data from the China Hydrology Data Project (CHDP; Henck et al., 2010, 2011), the European Water Archive from GRDC - EURO-FRIEND-Water (EWA), and the GEWEX Asian Monsoon Experiment (GAME) – Tropics dataset provided by the Royal Irrigation Department of Thailand. Quality characteristics are based on availability, outliers, homogeneity and trends: overall availability (%), longest availability (%), continuity (%), monthly availability (%), outliers ratio (%), homogeneity of annual flows (number of statistical tests agreeing), trend in annual flows, trend in one month of the year. Bodo, B. (2000) Russian River Flow Data by Bodo. Boulder CO: Research Data Archive at the National Center for Atmospheric Research, Computational and Information Systems Laboratory. Retrieved from http://rda.ucar.edu/datasets/ds553.1/ Henck, A. C., Huntington, K. W., Stone, J. O., Montgomery, D. R. & Hallet, B. (2011) Spatial controls on erosion in the Three Rivers Region, southeastern Tibet and southwestern China. Earth and Planetary Science Letters 303(1–2), 71–83. doi:10.1016/j.epsl.2010.12.038 Henck, A. C., Montgomery, David R., Huntington, K. W. & Liang, C. (2010) Monsoon control of effective discharge, Yunnan and Tibet. Geology 38(11), 975–978. doi:10.1130/G31444.1 Vörösmarty, C. J., Fekete, B. M. & Tucker, B. A. (1998) Global River Discharge, 1807-1991, V[ersion]. 1.1 (RivDIS). doi:10.3334/ornldaac/199
Estimates of daily river flows for 190 catchments in Great Britain from the GR6J model using CRCM5 large ensemble
<p>Simulated river flows for 200 catchments using the GR6J hydrological model driven by the CRCM5 50-member large ensemble</p>
Data from: A century of changing flows: forest management changed flow magnitudes and warming advanced the timing of flow in a southwestern US river
The continued provision of water from rivers in the southwestern United States to downstream cities, natural communities and species is at risk due to higher temperatures and drought conditions in recent decades. Snowpack and snowfall levels have declined, snowmelt and peak spring flows are arriving earlier, and summer flows have declined. Concurrent to climate change and variation, a century of fire suppression has resulted in dramatic changes to forest conditions, and yet, few studies have focused on determining the degree to which changing forests have altered flows. In this study, we evaluated changes in flow, climate, and forest conditions in the Salt River in central Arizona from 1914–2012 to compare and evaluate the effects of changing forest conditions and temperatures on flows. After using linear regression models to remove the influence of precipitation and temperature, we estimated that annual flows declined by 8–29% from 1914–1963, coincident with a 2-fold increase in basal area, a 2-3-fold increase in canopy cover, and at least a 10-fold increase in forest density within ponderosa pine forests. Streamflow volumes declined by 37–56% in summer and fall months during this period. Declines in climate-adjusted flows reversed at mid-century when spring and annual flows increased by 10–31% from 1964–2012, perhaps due to more winter rainfall. Additionally, peak spring flows occurred about 12 days earlier in this period than in the previous period, coincident with winter and spring temperatures that increased by 1–2°C. While uncertainties remain, this study adds to the knowledge gained in other regions that forest change has had effects on flow that were on par with climate variability and, in the case of mid-century declines, well before the influence of anthropogenic warming. Current large-scale forest restoration projects hold some promise of recovering seasonal flows.
Quantifying flow velocities in river deltas via remotely sensed suspended sediment concentration
<p><strong>bathymetry and model velocity field</strong></p>
Sediment gravity-flow drives the buildup of the modern Huanghe (Yellow River) delta front
<p>The dataset contains the output data of the numerical model and the source code for processing the data.</p> <p>1 Model validation </p> <p>The simulation time period covers 1996 to 2010 CE for H1, 1986 to 2009 CE for H2, and 1986 to 2008 CE for H3.</p> <p>1.1 The grain size distribution of the H1-H3 profile .grain</p> <p>1.2 The seafloor topography of the H1-H3 profile .bin</p> <p> </p> <p>2 Sensitivity numerical experiments</p> <p>2.1 The grain size distribution of the YD01-YD03 cores .grain</p> <p>We selected three cores (YD01, YD02, and YD03) at the H2 profile, simulated for the period of 1986-2006.</p> <p>2.2 The seafloor topography of the H2 profile .bin</p> <p>The model runs over timespans of 10 years (1986 to 1996), 20 years (1986 to 2006), and 30 years (1986 to 2015).</p> <p>2.3 The measured seafloor topography of the H2 profile .xlsx</p> <p>2.4 Original experimental data related to soil core samples .xlsx</p> <p> </p> <p>3 The plot_ grain.m and plot_ elevation.m file is used to process and analyze grain size distribution and topography, respectively</p>
A tightly coupled river-ocean model for simulating combined flood due to storm surge and river flow in coastal-urban areas
<p>Coastal flooding, resulting from storm surges or extreme river flows, causes significant causalities and damage to properties in low-lying areas. The simultaneous occurrence of river flows and storm surges, termed combined/compound events, exacerbates the flood risk compared to independent occurrences. Combined flood events are simulated with the help of hydraulic and hydrodynamic models using a loosely or tightly coupled approach. In the loosely coupled approach, a hydrodynamic model simulates storm surges first, and a hydraulic model then simulates inland flood due to river overflow considering surge as the boundary condition at the river mouth/estuary. Conversely, the tightly coupled approach involves simultaneous simulation of both river flow and storm surge by coding the mathematical representation of river and ocean flow dynamics in the same numerical model. This allows the interaction between river and ocean flows to be simulated anywhere in the combined river-ocean computational domain, making it highly relevant for simulating combined floods. However, existing models based on this approach encounter numerical instability, especially in inland regions where topography variation is steep and highly uneven. Also, such combined models are highly limited for large scale applications. Therefore, this research focuses on developing a tightly coupled 2D finite volume river-ocean model called IROMS-C2D. The developed model intends to address the limitations of the previous models and provide a stable solution framework for the simulation of combined flooding resulting from the interaction of storm surges and river flows in coastal urban areas. Further, it enhances our understanding of flood risks in coastal areas, particularly in urban settings, and facilitates the formulation of effective measures for flood control and adaptation of coastal infrastructure.</p>
A tightly coupled river-ocean model for simulating combined flood due to storm surge and river flow in coastal-urban areas
<p>Coastal flooding, resulting from storm surges or extreme river flows, causes significant causalities and damage to properties in low-lying areas. The simultaneous occurrence of river flows and storm surges, termed combined/compound events, exacerbates the flood risk compared to independent occurrences. Combined flood events are simulated with the help of hydraulic and hydrodynamic models using a loosely or tightly coupled approach. In the loosely coupled approach, a hydrodynamic model simulates storm surges first, and a hydraulic model then simulates inland flood due to river overflow considering surge as the boundary condition at the river mouth/estuary. Conversely, the tightly coupled approach involves simultaneous simulation of both river flow and storm surge by coding the mathematical representation of river and ocean flow dynamics in the same numerical model. This allows the interaction between river and ocean flows to be simulated anywhere in the combined river-ocean computational domain, making it highly relevant for simulating combined floods. However, existing models based on this approach encounter numerical instability, especially in inland regions where topography variation is steep and highly uneven. Also, such combined models are highly limited for large scale applications. Therefore, this research focuses on developing a tightly coupled 2D finite volume river-ocean model called IROMS-C2D. The developed model intends to address the limitations of the previous models and provide a stable solution framework for the simulation of combined flooding resulting from the interaction of storm surges and river flows in coastal urban areas. Further, it enhances our understanding of flood risks in coastal areas, particularly in urban settings, and facilitates the formulation of effective measures for flood control and adaptation of coastal infrastructure.</p>
Data from: Flow restoration and the impacts of multiple stressors on fish communities in regulated rivers
Open the record for dataset details and reuse information.
Data from: Riverscape genetics in brook lamprey: genetic diversity is less influenced by river fragmentation than by gene flow with the anadromous ecotype
Open the record for dataset details and reuse information.
Data from: Coupling landscapes and river flows to restore highly modified rivers
Open the record for dataset details and reuse information.
Data from: Examining the role of parasites in limiting unidirectional gene flow between lake and river sticklebacks
Open the record for dataset details and reuse information.
Data from: Gene flow among Modoc sucker and Sacramento sucker populations in the upper Pit River
Open the record for dataset details and reuse information.
Data from: A century of changing flows: forest management changed flow magnitudes and warming advanced the timing of flow in a southwestern US river
Open the record for dataset details and reuse information.
ScienceDex guides
Understand access before you commit
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.