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.
87
datasets available to search
ShareScore release 0.7.1
Dataset results
87 results for “Hydropower”
FIGURE 1 in Fish injuries resulting from transient operating conditions in a Brazilian hydropower plant: morphological, physiological and biochemical evaluation in Pimelodus maculatus (Siluriformes: Pimelodidae)
FIGURE 1 | Histological gill alterations in Pimelodus maculatus collected during transient operating conditions (magnification: × 400). Arrows indicate the following lesions: A. Aneurysm; B. Epithelium detachment; C. Telangiectasia; and D. Interlamellar hyperplasia.
FIGURE 2 in Fish injuries resulting from transient operating conditions in a Brazilian hydropower plant: morphological, physiological and biochemical evaluation in Pimelodus maculatus (Siluriformes: Pimelodidae)
FIGURE 2 | Histological alterations in liver and spleen of Pimelodus maculatus collected during transient operating conditions in the tailrace of Machadinho HPP (magnification: × 400). Arrows and asterisks indicate the following lesions: A. Melanomacrophage centers (asterisk) and congested vein (arrow) in the liver; B. Blood cells indicating hepatic hemorrhage (asterisk); C. Melanomacrophage centers in the spleen (asterisk); D. Mononuclear inflammatory infiltrate in the spleen (arrow).
Supplementary data: "Future operation of hydropower in Europe under high renewable penetration and climate change"
<p>This dataset contains modelled inflow time series described in the paper "Future operation of hydropower in Europe<br> under high renewable penetration and climate change".</p> <p>The inflow is derived from ten different combinations of five General Circulation Models and two Regional Climate Models at the beginning of the century ("Hydro_inflow_BOC_(...).csv"), 1991 - 2020, and at the end of the century ("Hydro_inflow_EOC_(...).csv"), 2071 - 2100, under three CO2-emissions scenarios (RCP2.6, RCP4.5, and RCP8.5). The ensemble mean for each emissions scenario is presented as well.</p> <p>The historical data that is not confidential is given as well. See "data_sources" for sources.</p>
Climate Forced Hydropower Simulations for the African Continent Using NASA NEX GDDP
<p>This dataset includes the results of simulations of future hydropower usable capacity for power plants across the five African power pools. These include 87 power plants in 27 different countries. These simulations have been forced using NASA's Earth Exchange Global Daily Downscaled Projections (NEX-GDDP) dataset, which includes maximum temperature, minimum temperature, and precipitation simulations from 21 Global Climate Models (GCM) and three scenarios. The scenarios include a retrospective run (1950-2005) and two projection runs for Representative Concentration Pathways (RCP) 4.5 and 8.5. We include a PDF file "Description of Data.pdf" that describes all the information included in the dataset. </p> <p>This work is based on the future publication: Caceres, A.L., Jaramillo, P., Matthews, H.S., Samaras, C, & Nijssen, Bart. "Power pools for the win: Assessing climate resilience of hydropower resources in African power pools".</p>
Data set for the manuscript "Development of Hydropower and the Environmental Impacts of Hydroelectric Dam Construction: A Case Study of the Three Gorges Dam"
<p>This document provides the data set supplementary to the manuscript "Development of Hydropower and the Environmental Impacts of Hydroelectric Dam Construction: A Case Study of the Three Gorges Dam"</p> <p>Data content: Tables 1-3</p> <ul> <li>Table 1. The global annual data of GDP, surface temperature anomalies, carbon dioxide emissions and different kinds of renewable energy during 2000-2020. The renewable energy includes hydropower, wind, solar, geothermal, biomass and others (unit: TWh).</li> <li>Table 2. The annual mean temperature, CO2 emissions, and renewable energy data in China from 2000 to 2020. The renewable energy data include hydro, solar, and wind electricity generation (unit: kWh).</li> <li>Table 3. Annual variation of precipitation and biodiversity in the TGD area. Annual mean precipitation data over China and the TGD are provided. Biodiversity data include the number of Yangtze Finless Porpoise, Carp Egg and Larvae, and the number of spawners in spawning ground for Acipenser_sinensis.</li> </ul> <p> </p>
Dataset used in the study: Impacts of hot-dry conditions on hydropower production in Switzerland
<p>This dataset contains the hydro-meteorological data used in the study Impacts of hot-dry conditions on hydropower production in Switzerland. Description: The data consists of a <code>data.frame</code> for each of the hydropower plants located in different regions over Switzerland. This dataset includes the data for the historical (present-day or reference period) conditions and for the future climate projections as detailed in the paper. The data.frame structure is as follows:</p> <ol> <li>Date: Datetime columnd</li> <li>Generation: Observed daily hydropower generation collected from ENTSO-E</li> <li>Predictions: Predicted hydropower generation </li> <li>PREVAH: Daily discharge data </li> <li>PREVAH7D: 7Days lag values of discharge data</li> <li>PREVAH15D: 15Days lag values of discharge data</li> <li>PREVAH30D: 30Days lag values of discharge data</li> <li>spi_3: SPI-3 monthly values corresponding to the precipitation index (SPI-3)</li> <li>STI_1: STI-1 monthly values corresponding to the temperature index (STI-1) </li> </ol> <p> </p> <p>For further details about the data, please refer to the study. </p>
Data for: Water system simulation modeling with hydropower optimization and environmental flows: An example with Pywr
Open the record for dataset details and reuse information.
Background data: Hy:Con: A Strategic Tool For Balancing Hydropower Development And Conservation Needs
<p>Background data to the publication "Hy:Con: A Strategic Tool For Balancing Hydropower Development And Conservation Needs"</p>
Habitat quality and biological community responses to innovative hydropower plant installations at transverse in-stream structures
<ol> <li>Ecological assessments of the effects of hydropower plants (HPPs) are often limited to aspects of entrainment, mortality, injuries, and passage of fish, whereas the effects on riverine habitats and biological communities in proximity to these structures are hardly documented.</li> <li>In this study, aquatic communities comprising fish, macroinvertebrates, macrophytes, and periphyton as well as physical and hydromorphological parameters were investigated in upstream and downstream river sections at five transverse structures at different seasons before and after the installation of an innovative HPP.</li> <li>At all study sites, significant differences in the aquatic community composition between the assessed upstream and downstream sections were found after HPP construction, indicating distinct serial discontinuity.</li> <li>Raising the damming target at the sites Großweil and Au deteriorated the habitat conditions in the upstream area close to the weir and presumably influenced in particular the macroinvertebrate community, where a significant decrease in the density of rheophilic mayfly, stonefly, and caddisfly larvae was observed after HPP construction.</li> <li> <em>Synthesis and applications</em>: The installation of different types of innovative HPPs has not improved the habitat conditions for rheophilic species, contrary to the promises raised by the developers of these concepts. Conversely, retrofitting existing weirs accompanied by further damming even significantly increased the effects of serial discontinuity and deteriorated the habitat conditions for rheophilic species in upstream sections. As evident from the findings of this study, habitat and biological community effects resulting from serial discontinuity should become better integrated into ecological assessments of HPP developments.</li> </ol>
Input data and modelling files for a model of the Finnish energy system with focus on cascade hydropower and the addition of a hydrogen storage system realised in Backbone
<p>The files show the input data and modelling files used for the publication "Cascade hydropower integration in a techno-economic power system model: A study of Finnish hydropower plants" (Kiehle et al., 2025 - submitted). The paper's <a title="Preprint on SSRN" href="https://dx.doi.org/10.2139/ssrn.4971685" target="_blank" rel="noopener">preprint</a> is available. A model of the Finnish energy system in 2022 was built in the techno-economic modelling framework Backbone (available on GitLab: https://gitlab.vtt.fi/backbone/backbone). The focus was on implementing cascading hydropower plants in a power system model, including individual reservoirs, generation and spillage capacities. </p> <p>"ModellingFiles_Debug" are GAMS-based data that can be used to run the scenario in Backbone or display the results. "ModellingResults" are gdx files that purely list the results. Those are also presented in more detail in the scientific paper. The Excel files present the input data used for modelling and can also be used to run the model. </p>
GODEEEP-hydro - Historical and projected power system ready hydropower data for the United States
<p>This dataset contains monthly and weekly hydropower generation and generation constraints (min, max, daily range) for over 1,400 hydropower plants in the conterminous United States. The dataset includes a historical period (1982-2019) and a future period (2020-2099) with 4 future warming scenarios.</p> <p>For more information please refer to Bracken et al. 2024, godeeep_hydro: Historical and projected power system ready hydropower data for the United States, in prep, or refer to the Github repository https://github.com/GODEEEP/tgw-hydro</p> <h3>Data description</h3> <p>The dataset contains 10 data files with the naming convention <code><scenario>_<monthly/weekly>.csv</code> where scenario can be either "historical", "rcp45cooler", "rcp45hotter", "rcp85cooler", or "rcp85hotter". "monthly" or "weekly" refers to the timestep of the data.</p> <ul> <li>datetime - The datetime stamp of the current timestep</li> <li>eia_id - An integer value with the EIA plant code that represents the facility</li> <li>plant - The name of the facility according to the EIA</li> <li>power_predicted_mwh - The total energy gnerated over the period in MWh, aka the energy target</li> <li>n_hours - The number of hours in the period, useful for converting between power and energy</li> <li>p_avg - Average power generation for the period</li> <li>p_max - Maximum allowable power generation for the period</li> <li>p_min - Minimum allowable power generation for the period</li> <li>ador - Average daily operational range for any given day in the period</li> <li>scenario - The name of the scenario, either "historical", "rcp45cooler", "rcp45hotter", "rcp85cooler", or "rcp85hotter"</li> </ul> <p>Also included is the metadata file <code>godeeep_hydro_plants.csv</code> which contains metadata for each hydropower plant that is included in the dataset. Each row in this file refers to one hydropower facility. This file has the following columns:</p> <ul> <li>eia_id - An integer value with the EIA plant code that represents the facility</li> <li>plant - The name of the facility according to the EIA</li> <li>mode - Either "Storage" or "RoR" indicating if the plant is primarily operated as a storage or ron-of-river facility</li> <li>state - Two letter U.S. state name</li> <li>lat - Latitude of the facility</li> <li>lon - Longitude of the facility</li> <li>nameplate_capacity - The total nameplate capacity of the facility according to the EIA</li> <li>nerc_region - Four letter code for the NERC region of the facility</li> <li>ba - Balacing authority of the facility</li> <li>max_param - Value of the a_{max} parameter used to derive p_max</li> <li>min_param - Value of the a_{min} parameter used to derive p_min</li> <li>ador_param - Value of the a_{ador} parameter used to derive ador</li> <li>huc2 - Two digit hydrologic unit code (HUC) which contains the facility</li> </ul> <h3>Funding</h3> <p>This research was supported by the Grid Operations, Decarbonization, Environmental and Energy Equity Platform (GODEEEP) Investment, under the Laboratory Directed Research and Development (LDRD) Program at Pacific Northwest National Laboratory (PNNL).</p> <p>PNNL is a multi-program national laboratory operated for the U.S. Department of Energy (DOE) by Battelle Memorial Institute under Contract No. DE-AC05-76RL01830.</p> <p>Corresponding author:</p> <p>Cameron Bracken, cameron.bracken@pnnl.gov</p> <p>v1.1.0 - Update file naming convention</p>
GloHydroRes - a global dataset combining open-source hydropower plant and reservoir data
<div> <div> <div> <div> </div> </div> </div> </div> <div> <div> <div> <div> <div> <div> <p>Analyzing the impacts of drought and climate change on hydropower requires detailed data not only on hydropower attributes such as plant type, head, and installed capacity, but also on reservoir characteristics like area, depth, and volume. Current open-source hydropower datasets typically lack information on reservoirs, while reservoir datasets often omit hydropower details. GloHydroRes is a global dataset that integrates open-source hydropower and reservoir data, offering 29 attributes, including key information such as installed capacity, plant type, dam height, reservoir depth, area, volume, and river name. Overall, GloHydroRes provides data on 7,775 hydropower plants across 128 countries.</p> </div> </div> </div> </div> <div> <div> <div> </div> </div> </div> </div> </div>
Experimental comparison of fish mortality and injuries at innovative and conventional small hydropower plants - raw data
<p><span>Resolving the controversy about hydropower is only possible based on reliable data on its ecological effects, particularly fish welfare.</span></p> <p><span>Herein, we propose a comprehensive assessment of conventional and innovative hydropower using a data set of 52 250 fish.</span></p> <p><span>The </span><span>effects of hydropower on fish were most harmful at sites with Kaplan turbines, showing </span><span>£</span> <span>83% </span><span>mortality.</span> <span>Innovative hydropower, often termed 'fish-friendly', caused </span><span>£</span> <span>64% mortality.</span></p> <p><span>Our findings suggested that the runner peripheral speed, number of turbine blades, turbulence and gas oversaturation at turbine outlets were the most important factors.</span></p> <p><span>Synthesis and Applications:</span><span> To reduce the impact of hydropower on fish, site-specific characteristics such as head drop, bypass options and river-specific species composition need to be more intensively considered in optimal turbine technologies and operation modes.</span></p>
Biodiversity Risks and Safeguards of China's Hydropower Financing in BRI Countries: Materials and Data
<p>Materials and Data of a One Earth Journal article:</p> <p>Narain D, Teo HC, Lechner AM, Watson JEM, Maron M. 2021. Biodiversity risks and safeguards of China’s hydropower financing in BRI countries. (in press)</p> <p> </p>
[SUMMER - Flow Duration Curves & Hydropower Potential - RM4]
<p><span>Dataset containing the results of the flow duration curves (FDC) and the hydroelectric potential along the entire Orco Valley hydrographic network</span></p>
HydroWIRES B1: Monthly and Weekly Hydropower Constraints Based on Disaggregated EIA-923 Data
<p>This dataset provides both monthly and weekly constraints (maximum and minimum generation) and power targets for hundreds of hydropower plants across the United States. The data is intended for use in Production Cost Models (PCMs) and Capacity Expansion Models (CEMs). The hydropower data is based on disaggregated annual power data which is part of the EIA-923 dataset.</p> <p>The code to reproduce this data is available here: <a href="https://github.com/HydroWIRES-PNNL/B1-data">https://github.com/HydroWIRES-PNNL/B1-data</a></p> <p>The original disaggregation procedure is detailed here:</p> <p><a href="https://www.nature.com/articles/s41597-022-01748-x" target="_blank" rel="noopener">https://www.nature.com/articles/s41597-022-01748-x</a><br><a href="https://github.com/immm-sfa/turner_voisin_nelson_2022_scientific_data">https://github.com/immm-sfa/turner_voisin_nelson_2022_scientific_data</a><br><a href="https://github.com/pnnl/hydrofixr">https://github.com/pnnl/hydrofixr</a></p> <p>A paper describing the weekly data is in preperation.</p> <p>Corresponding author: cameron.bracken@pnnl.gov, nathalie.voisin@pnnl.gov</p> <p> </p> <p>Version 1.3.0 Uses RectiHyd 1.3 which includes several hundred new observed data locations from a variety of sources</p> <p>Version 1.2.0 Adds hydro plant data (forebay, inflow, outflow) for some Pacific Northwest plants and HUC4 flow data for most plants</p> <p>Version 1.1.2 Updates the data using final EIA 2022 data </p> <p>Version 1.1.1 Fixes the zip format </p> <p>Version 1.1.0 Extends the data to 2022 using updated versions of the underlying data</p> <p> </p>
Functional responses of fisheries to hydropower dams in the Amazonian Floodplain of the Madeira River
<p>1. Tropical river fisheries support food security for millions of people but are increasingly threatened by hydropower development. How dams affect these fisheries remains poorly known in most regions. Here, we used a functional traits approach to evaluate the extent to which the composition of fishery yields in the Madeira River Basin the largest sub-basin in the Amazon, respond to dam construction. We also explored how dams affected the monetary value of yields and fishing-based income of the communities.</p> <p>2. We collected fishing data in 17 locations distributed more than 300 km across upstream, reservoir, and downstream zones during pre-and post-dam construction periods. We interviewed 711 fishers from 13 communities to assess fishing income during pre- and post-dam periods.</p> <p>3. Catch-per-unit effort (CPUE) declined significantly, i.e., by 37%, after dam construction. Multivariate analysis yielded six species clusters according to trait syndromes related to life history, migration, swimming-performance/microhabitat-use and economic value that were associated with the environmental data characteristic of pre- and post-dam periods. Comparison of CPUE of each cluster indicated that large species with periodic life-history strategy and regional or long-distance migratory behavior were most affected by dam construction, with CPUE declining by, on average, 31%. Declines in yields and shifts in functional composition of the fishery yields resulted in average decline of 21% in the monetary of functional clusters and 30% in fishing income.</p> <p>4. Synthesis and applications. Our study indicates that the implementation of the dams and associated changes in environmental conditions affected the functional composition of yields and reduced catches, negatively affecting the fishing-based income of the studied communities in the Madeira River.Whereas catches of all functional clusters declined after the dams, species possessing large body sizes, traits related to a periodic life history strategy, either with long-distance or regional migratory behaviors, and the greatest economic importance appeared to be particularly vulnerable. These results imply that hydropower expansion will cause detrimental effects for fisheries and the livelihoods they sustain. Our results underscore the urgent need for considering alternative sources of renewable energy (e.g., solar power and in-stream turbines) to avoid irreversible socio-environmental damages of large dam projects. In river reaches where dams are already in operation or under construction, minimizing impacts will require improving operational protocols to reduce hydrological alterations and developing research and technology to improve the functionality of fish passages. In these locations, addressing losses in fishery value and fishing-based income will also require the implementation of fair compensation measures. Maintaining fish production requires conserving flow pulses and free-flowing rivers and tributaries critical for completing life cycles of fish species with vulnerable traits.</p>
Raw data for the Github repository "Collection of scripts to download & process hydropower generation data in Argentina, Bolivia, Brazil, Uruguay"
<p>This is the raw data downloaded from the websites of the following system operators:</p> <p> - CNDC, Comité Nacional de Despacho de Carga (Bolivia): https://www.cndc.bo/home/index.php<br> - ONS, Operador Nacional do Sistema Elétrico (Brazil): https://www.ons.org.br/<br> - UTE, Usinas y Trasmisiones Eléctricas (Uruguay): https://www.ute.com.uy/<br> - CAMMESA, Compañía Administradora del Mercado Mayorista Eléctrico Sociedad Anónima (Argentina): https://cammesaweb.cammesa.com</p> <p>Hydropower generation data is extracted using the R scripts available here: https://github.com/matteodefelice/hydro-sam</p>
Dataset for 'Analytical Approach for Sustainable Hydropower Planning'
<p>The dataset contains the files used in HERA's optimization module.</p> <p>See the readme.docx file for a brief explanation and contact the corresponding author for any questions.</p>
Virtual Energy Storage - Hydropower
<p>Data used to derive information of hydropower potential in Europe: Simulated runoff and covariance spectra for 3032 the potential of 3032 main river basins. </p>
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.