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374 results for “Power Data”
Epistemic Insight Initiative Data set: Findings from a hands-on science intervention to build school students' agency and epistemic insight into the power and limitations of science.
<p>Data set that reports on the Findings from a hands-on science intervention to build school students’ agency and epistemic insight into the power and limitations of science.</p> <p>We report on an empirical study that sought to address three questions:</p> <ul> <li>A study to extend the cognitive science of insight into the field of children’s developing understanding of the power and limitations of science</li> <li>A study to examine the effectiveness of the Epistemic Insight (EI) strategy which is designed to give each child hands-on, minds-on science</li> <li>A study to examine the effectiveness of the EI strategy to sustain science activity in schools during the challenging conditions of the pandemic</li> </ul> <p>1919 children and 63 teachers from 24 schools in England took part in the project. This includes both primary and secondary schools. The data reported here are taken from ten primary schools representing 1045 children aged 8-12 in years 4 to 7.</p> <p> </p>
A decade of cumulative radiocesium testing data for foodstuffs throughout Japan after the 2011 Fukushima Daiichi Nuclear Power Plant accident
<p>Updated dataset.</p>
Residential Power and Battery Data
<p><strong>Overview</strong></p> <p>The Residential Power and Battery data is an open-source dataset designed to facilitate the advancement of predictive and optimisation algorithms. It features anonymised, minute-by-minute real-world customer data on energy consumption, solar generation, and battery measurements. This dataset was compiled by SwitchDin and made available through Monash University on the Zenodo platform.</p> <p>Open-sourcing the Residential Power and Battery data offers numerous benefits to researchers, developers, and industry stakeholders. By providing access to comprehensive, real-world data on energy consumption, solar generation, and battery usage, the dataset enables the development of more accurate and efficient algorithms for energy management systems. For example, the dataset could facilitate the development of machine learning models that forecast energy consumption patterns, enabling better demand-side management strategies. These improved algorithms contribute to more effective demand response, grid stability, and renewable energy integration, helping to build a more resilient and sustainable energy future.</p> <p>Furthermore, open-sourcing this dataset fosters collaboration and knowledge sharing among researchers and professionals in the energy sector. By making the data freely available, researchers from various backgrounds and organisations can work together to identify patterns, trends, and innovative solutions to pressing challenges in energy management. This collaborative approach accelerates the pace of innovation, as diverse perspectives can generate novel ideas and methods that might not emerge in isolation. As a result, the open-sourcing of the Residential Power and Battery data has the potential to significantly advance the pursuit of a more efficient, reliable, and environmentally friendly energy landscape.</p> <p><strong>Data Structure</strong></p> <p><code>anonymous_public_power_data.rds</code></p> <ul> <li>utc: The date-time in UTC, formatted as <code>yyyy-mm-dd hh:mm:ss</code>.</li> <li>unit: A categorical label denoting the unique identifier for the unit.</li> <li>metric: A categorical label indicating whether the data point corresponds to load or solar power generation.</li> <li>max: A numerical variable denoting the peak value of load or solar power generation in kilowatts (kW) within a one-minute interval.</li> </ul> <p><code>anonymous_public_power_data_per_unit.zip</code></p> <ul> <li>Same as above, but files are split by units.</li> </ul> <p><code>anonymous_public_battery_data.rds</code></p> <ul> <li>unit: A categorical label denoting the unique identifier for the unit.</li> <li>batt_kwh: A numerical variable representing battery kilowatt-hour rating.</li> <li>batt_p_ch: A numerical variable representing battery charge power rating.</li> <li>batt_p_dch: A numerical variable representing battery discharge power rating.</li> </ul>
(Data Set) Shielding Factors for a Fission-Powered Mars Exploration Rover
<p>Data Set to Accompany Technical Paper: </p> <p>A. BENDOYRO et al., Shielding Factors for a Fission-Powered Mars Exploration Rover, 2023</p>
Data from: No detectable deployment impacts of solar-powered GPS devices for long-term use on a small shorebird
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Data from: Population genomics of rapid evolution in natural populations: polygenic selection in response to power station thermal effluents
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Data from: Compromise docking power evaluation of liganded crystal structures of Mpro SARS-CoV-2
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Data from: Specimen-based analysis of morphology and the environment in ecologically dominant grasses: the power of the herbarium
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Data from: Flight power muscles have a coordinated, causal role in controlling hawkmoth pitch turns
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Data from: Microrobots powered by concentration polarization electrophoresis
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Data from: Powerful yet challenging: Mechanistic Niche Models for predicting invasive species potential distribution under climate change
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DQ-1 Aerosols and Carbon Dioxide Lidar detects orbital data on power plant emissions
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Data from: Vehicle-mounted cameras reveal negative impact of the Fukushima Daiichi nuclear power plant accident on large-bodied bird abundance via paddy field abandonment
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Data from: Enlargement of sternum traits facilitated the evolution of powered flight in birds
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Data from: Whole-genome phylogenetic reconstruction as a powerful tool to reveal homoplasy and ancient rapid radiation in waterflea evolution
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Data from: Star Power: Early life stages of an endangered sea star are robust to current and near-future warming
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Data from: Flightin maintains myofilament lattice organization required for optimal flight power and courtship song quality in Drosophila
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Data from: Biological and statistical processes jointly drive population aggregation: using host–parasite interactions to understand Taylor's power law
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Data from: Temporal power of a cycling sprinter: Experiments & effective time theory
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Data from: A framework for sharing power in research teams and promoting justice in scientific publication
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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)
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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.