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ShareScore release 0.9.0
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89 results for “power plants”
Inflow and meteorological data of the planned Longyangxia hydro–PV-wind power plant
Open the record for dataset details and reuse information.
Population Exposure Estimates in Proximity to Nuclear Power Plants, Country-Level Aggregates
The Population Exposure Estimates in Proximity to Nuclear Power Plants, Country-Level Aggregates data set consists of country-level estimates of total, urban, and rural populations and land area, country-wide, that are in proximity to a nuclear power plant. This data set was created using a global data set of point locations of nuclear power plants, with buffer zones at 30km, 75km, 150km, 300km, 600km, and 1200km, and the Global Population Count Grid Time Series Estimates, Version 1 to estimate the population within each buffer zone for the years 1990, 2000, and 2010. Global Rural-Urban Mapping Project, Version 1 (GRUMPv1) Land and Geographic Unit Area Grids were used to estimate land area within each buffer zone. The GRUMPv1 Urban Extents Grid was used to further delineate population and land area estimates within urban and rural areas. All grids used for population, land area, and urban mask were of 1 km (30 arc-second) resolution.
Population Exposure Estimates in Proximity to Nuclear Power Plants, Locations
The Population Exposure Estimates in Proximity to Nuclear Power Plants, Locations data set combines information from a global data set developed by Declan Butler of Nature News and the Power Reactor Information System (PRIS), an up-to-date database of nuclear reactors maintained by the International Atomic Energy Agency (IAEA). The locations of nuclear reactors around the world are represented as point features associated with reactor specification and performance history attributes as of March 2012.
14CO2 emissions from Nuclear Power Plants and Spend Fuel Reprocessing Plants
<div> <div>14CO2 emissions from Nuclear Power Plants and Spend Fuel Reprocessing Plants preprocessed by Carlos Gómez-Ortiz (carlos.gomez@nateko.lu.se) on 14-12-2023 with data from RADD and Zazzeri et al. (2018) gather and curated by Ida Storm (ida.storm@nateko.lu.se). *.csv file contains the point source data and *.nc file contains the gridded data in 0.5x0.5 degrees.</div> </div>
Supplementary Information datasets: Evaporation Reduction and Energy Generation Potential using Floating Photovoltaic Power Plants on the Aswan High Dam Reservoir
<p>These files contain supplementary information regarding the "Evaporation Reduction and Energy Generation Potential using Floating Photovoltaic Power Plants on the Aswan High Dam Reservoir"</p>
Whole genome sequencing and assembly of Eukaryotic microbes isolated from ISS environmental surface, Kirovograd region soil, Chernobyl Nuclear Power Plant and Chernobyl Exclusion Zone
The whole-genome sequences of eight fungal strains that were selected for exposure to microgravity at the International Space Station are presented here. These baseline sequences will help to understand the observed production of novel bioactive compounds.
Whole genome sequencing and assembly of Eukaryotic microbes isolated from ISS environmental surface Kirovograd region soil Chernobyl Nuclear Power Plant and Chernobyl Exclusion Zone
The whole-genome sequences of eight fungal strains that were selected for exposure to microgravity at the International Space Station are presented here. These baseline sequences will help to understand the observed production of novel bioactive compounds.
Dataset for optimization results of circulating cooling water system for codensning power plant
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Database of thermal power plant of YASSA-DIBAMBA CAMEROUN (2017-2018-2019-2020-2021)
<p>In this work, genetic algorithm coupled with neural networks was used to predict the concentration of pollutants in the Yassa area. The model takes into account the meteorological parameters of the study area and the source over 5 years, period from January 2017 to December 2021. To evaluate the model, two indices are used to indicate the prediction model’s performance; the Squared Correlation Coefficient R<sup>2</sup> whose value in the test case is 0.9996 and the Mean Square Error (MSE) whose best value is 0.0044756. We also evaluated the optimization methods and found that compared to the swarm by particle optimization, the genetic algorithm gives a better “fitness function curve” as a function of the number of iterations. The results showed that the GA-ANN coupling presented here is able to provide a reliable and accurate prediction of the distance of the area where the air quality standards and criteria are met. The safe distance where thermal power plant activity respects the air quality criteria is beyond 2200m. The results help not only in the choice of the location of the thermal power plant but also in the monitoring of the air quality in residential areas.</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.