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Dataset results
17 results for “Public power”
Data for Figures 4, A-F and Table J of Publication "Blue skies over China: The effect of pollution-control on solar power generation and revenues"
<p>This repository contains the data to produce Figures 4, A-F and Table J and emission data in the paper:</p> <p>"Labordena M, Neubauer D, Folini D, Patt A, Lilliestam J (2018) Blue skies over China: The effect of pollution-control on solar power generation and revenues. PLoS ONE 13(11): e0207028. https://doi.org/10.1371/journal.pone.0207028"</p> <p>Note that the scripts are to be found in the accompanying package (https://doi.org/10.5281/zenodo.8130726)</p>
Dataset used in the publication entitled "Decomposition Problem in Process of Selective Identification and Localization of Voltage Fluctuation Sources in Power Grids" presented at 2022 20th International Conference on Harmonics and Quality of Power (ICHQP)
<p>Dataset obtained from experimental research carried out in a real power grid. Based on the dataset, the problem of decomposition in identification of sources of voltage fluctuations has been presented in the publication: Kuwałek P., Decomposition Problem in Process of Selective Identification and Localization of Voltage Fluctuation Sources in Power Grids, <em>Proceedings of the 20th International Conference on Harmonics and Quality of Power</em>, IEEE , art. no. 43, 2022, Italy, Naples. The description of the power grid model is presented in this publication. The research results are part of the work under the project entitled "Voltage fluctuation diagnostic focused on identification and localization disturbing loads in power grids" funded by the National Science Centre, Poland - 2021/41/N/ST7/00397.</p>
Dataset used in the publication entitled "Multi-Point Method using Effective Demodulation and Decomposition Techniques allowing Identification of Disturbing Loads in Power Grids"
<p>Dataset obtained from experimental research carried out in the prepared laboratory setup and information on the performed numerical simulation studies. Based on the dataset, the proposed new method of identification of sources of voltage fluctuation has been validated in the publication: Kuwałek P., Wiczyński G., Multi-Point Method using Effective Demodulation and Decomposition Techniques allowing Identification of Disturbing Loads in Power Grids. The description of the prepared laboratory setup is presented in this publication. The research results are part of the work under the project entitled "Voltage fluctuation diagnostic focused on identification and localization disturbing loads in power grids" funded by the National Science Centre, Poland - 2021/41/N/ST7/00397.</p>
Dataset for publication "Measurement of Dynamic Voltage Variation Effect on Instrument Transformers for Power Grid Applications"
<p>This is dataset related to paper published in 2020 IEEE I2MTC Conference proceedings:</p> <p>Crotti G., Giordano D., Letizia P. S., Delle Femine A., Gallo D., Landi C., Luiso M., Barbieri L., Mazza P., Pallidini D., (2020, October 29). Measurement of Dynamic Voltage Variation Effect on Instrument Transformers for Power Grid Applications. https://doi.org/10.5281/zenodo.4154617</p> <p>Excel file contains the data for Figure 10 and following parameter evaluation.</p>
Data Set for Publication "Traceable Characterization of Low Power Voltage Instrument Transformers for PQ and PMU Applications"
<p>This is dataset for paper published in CPEM2020 Conference Proceedings:</p> <p>Crotti G., Delle Femine A., Gallo D., Giordano D., Landi C., Letizia P.,S., Luiso M., "Traceable Characterization of Low Power Voltage Instrument Transformers for PQ and PMU Applications".</p> <p>https://doi.org/10.5281/zenodo.4153819</p> <p>Excel file provides data for Figure 2 and following evaluation</p> <p> </p>
Accompanying data for publication: "Learning the Optimal Power Flow: Environment Design Matters"
<p>All the data created for the publication "Learning the Optimal Power Flow: Environment Design Matters" by Wolgast and Nieße. The dataset contains all training runs performed, including the final neural network weights, meta-data about the training run, and various metrics during the course of training, which were used to generate the results and plots. The source code to re-produce the plots for the publication (and everything else) can be found on GitHub: https://github.com/Digitalized-Energy-Systems/rl-opf-env-design</p>
Dataset for the publication "The Use of Voltage Transformers for the Measurement of Power System Subharmonics in Compliance With International Standards"
<p>This is dataset for paper published:</p> <p>G. Crotti, G. D’Avanzo, P. S. Letizia and M. Luiso, "The Use of Voltage Transformers for the Measurement of Power System Subharmonics in Compliance With International Standards," in <em>IEEE Transactions on Instrumentation and Measurement</em>, vol. 71, pp. 1-12, 2022, Art no. 9005912, doi: 10.1109/TIM.2022.3204318.</p> <p> </p>
Data corresponding to the publication "The limited predictive power of the Pauling Rules"
<p>This is the data set corrresponding to the publication "The limited predictive power of the Pauling rules" (see https://onlinelibrary.wiley.com/doi/full/10.1002/anie.202000829). This data can be reproduced with the following code: https://doi.org/10.5281/zenodo.3654428.</p>
Datasets for the publication " Enhancing drought resilience and energy security through complementing hydro by offshore wind power - the case of Brazil"
<p>This repository contains the datasets for the publication "Enhancing drought resilience and energy security through complementing hydro by offshore wind power - the case of Brazil".</p> <ul> <li><strong>Bias correction</strong></li> <li>Technical data of existing farms (ABBEólica) </li> <li>Bias correction factors at the farm level</li> </ul> <p> </p> <ul> <li><strong>Demand</strong></li> <li>Simulated wind and solar power</li> <li>Biomass, nuclear, and small hydropower generation in 2019</li> <li>Raw demand data</li> <li>Updated demand </li> </ul> <p> </p> <ul> <li><strong>Hydropower time series</strong></li> <li>Affluent Natural energy of run-of-rivers (fio d'água, in Portuguese) and reservoirs (reservatórios, in Portuguese), installed capacity, and maximal storage</li> </ul> <p> </p> <ul> <li><strong>Offshore wind farms</strong></li> <li>Locations, coordinates, water depth, available areas, water depth, distance to shore, technology,and maximal capacity;</li> <li>Code to estimate offshore wind farm capex and opex.</li> </ul> <p> </p> <ul> <li><strong>Results of Calliope model </strong></li> <li>capacity</li> <li>carrier_prod (power generation)</li> <li>storage</li> <li>costs</li> <li>emissions</li> </ul> <p> </p> <p> </p> <p> </p> <p> </p> <p> </p> <p> </p> <p> </p>
Datasets used in the publication 'Site Identification and Power Production for Floating Photovoltaics in The Bahamas'.
<p>This file contains the kml files and Simulating Waves Nearshore numerical wave model data subset used in the publication 'Site Identification and Power Production for Floating Photovoltaics in The Bahamas'.</p>
Dataset supporting publication: "The Problem of Geothermal Power Installation on Buildings: Structural Building Monitoring and Assessment During Drilling Activities"
<p>Dataset supporting publication: “The Problem of Geothermal Power Installation on Buildings: Structural Building Monitoring and Assessment During Drilling Activities” (publication available in <a href="https://zenodo.org/record/7266386#.Y1_e1XbMJPY">GEOFIT Zenodo</a>)</p> <p>Datasets resultant from structural health monitoring activities (accelerometer data).</p> <p>The current European Union (EU) policy aims to increase the use of “green” energies, and within this strategy the exploitation of the geothermal energy is a well promising approach. The European Horizon2020 project GEOFIT (Deployment of novel GEOthermal systems, technologies and tools for energy efficient building retroFITting) aims among the others to deploy and to integrate advanced methods of worksite inspection, ground research, and building structural monitoring, drilling and worksite characterization into advanced geothermal based retrofitting methods.</p> <p>When dealing with “plants of power production”, one needs to develop a Life Cycle Analysis and to apply a Life Cycle Assessment (LCA) for evaluating any environmental aspects and potential influences throughout the whole life cycle of a product or process or service. The paper first provides a preliminary discussion on this aspect. Then it focuses attention on a pilot site made available within the GEOFIT Consortium. The results from a structural monitoring campaign in this pilot site before and during the drilling operations associated to the implementation of the geothermal power system are presented discussed.</p>
Dataset supporting publication: "Geothermal Power: Monitoring the Building Response During Installation"
<p>Dataset supporting publication: “Geothermal Power: Monitoring the Building Response During Installation” (publication available for download: <a href="https://zenodo.org/record/4244246#.X6KWq1CCHIU">GEOFIT Zenodo</a>)</p> <p>The European project GEOFIT (Deployment of novel GEOthermal systems, technologies and tools for energy efficient building retrofitting) is gathering more than 20 partners from all around Europe. Its main objective is to deploy and to integrate advanced methods of worksite inspection, ground research, and building structural monitoring, drilling and worksite characterization into advanced geothermal based retrofitting methods. This contribution reports the experimental results to be achieved within GEOFIT at the location of specific case studies. In particular standard accelerometric measurements will be collected and compared with the information collected by the geo-radar system made available by one of the partners. This paper focuses on the structural monitoring of a two-story masonry building. The results of a preliminary data collection in the absence of drilling are also reported.</p>
Data from: A framework for sharing power in research teams and promoting justice in scientific publication
Open the record for dataset details and reuse information.
Market Power in an Emerging Market Economy: Evidence from Philippine Publicly Listed Firms
<p>The STATA data file uploaded is used in the paper: "Market Power in an Emerging Market Economy: Evidence from Philippine Publicly Listed Firms." The dataset contains annual financial statements of 285 non-bank firms listed in the Philippine Stock Exchange from 2001 to 2019. </p>
Dataset of the publication entitled 'Light-Powered Self-Adaptive Mesostructured Microrobots for Simultaneous Microplastics Trapping and Fragmentation via in situ Surface Morphing'
<p>dataset of the publication entitled 'Light-Powered Self-Adaptive Mesostructured Microrobots for Simultaneous Microplastics Trapping and Fragmentation via in situ Surface Morphing'</p>
Dataset supporting publication: "On Site Monitoring During Nearby Drilling Operations Toward a Geothermal Power System Installation"
<p>Dataset supporting publication: “On Site Monitoring During Nearby Drilling Operations Toward a Geothermal Power System Installation” (publication available in <a href="https://zenodo.org/record/7266405#.Y1_fAHbMJPY">GEOFIT Zenodo</a>)</p> <p>Datasets resultant from structural health monitoring activities (accelerometer data).</p> <p>Among the approaches to the production of “green” energy, geothermal power systems are becoming quite popular in Europe. Their installation in existing buildings requires an extended, external pipes appendix whose laying operation needs a drilling activities nearby structural skeletons often designed to support static loads only, especially when ancient buildings are targeted. This contribution reports and discusses the experimental results achieved within a specific case study within the European project GEOFIT. In particular, standard accelerometric measurements in and nearby a single-story reinforced concrete building are collected and analysed in the absence of drilling (pre-drilling) and during drilling activities (drilling phase) to monitor the structure response to the external source of vibrations related to the excavations phase. The target is to outline automatic guidelines toward installations preventing from any sort of structural damage.</p>
Typical daily generation and consumption electrical power profiles per month in three public buildings
<p>Electrical power values in kW representing the daily average profile of PV production and building consumption per month in three Mediterannean countries: Cyprus, Greece, and Italy. The time step of the data sets is 15min. The PV production is provided per kWp excluding the inverter losses, i.e., at the dc side of the inverter, based on data from PVGIS platfrom for the case of Cyprus and Italy, and on real measurements for the case of Greece.</p>
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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.