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326 results for “electricity data”
STL files and data to support: Improvements in methods for measuring the volume conductivity of electrically conductive carbon powders
<p>Electrically conductive carbon powders are commonly used as filler materials in polymers to create electrically semi-conductive composite materials for use in battery electrodes and anti-static applications. Current methods for characterizing the conductivity of these powders use two pistons to compress the powders. Two-piston methods are known to underestimate conductivity. This study develops a guard-electrode method based on ASTM D257 to better characterize the bulk conductivity and impedance spectra of electrically conductive powders. The conductivity and impedance spectra of a highly conductive powder (copper powder) and a low conductivity powder (cellulose) were used to bound the conductivity of carbon black, graphite, and biochar. Powders were measured through a full range of compression with both the two-piston and the guard-electrode method. In all cases, measurements using the guard-electrode method have higher conductivity and lower impedance than the same powders measured using the two-piston method. The grain conductivity of the particles is obtained through fitting the relationship of conductivity versus packing fraction using the GEM equation. The guard-electrode method is shown to be more similar to established conductivity values as measured via a four-probe technique for copper and graphite then the two-piston method.</p>
Data from: Randomized study of the impact of a therapeutic education program on patients suffering from chronic low-back pain who are treated with transcutaneous electrical nerve stimulation
Background: Transcutaneous electrical nerve stimulation (TENS) is often used for the treatment of low-back pain (LBP). However, its effectiveness is controversial. Objective: To determine the efficacy of TENS in the treatment LBP when associated to a therapeutic education program (TEP). Design: Open randomized monocentric study. Setting: University hospital between 2010 and 2014. Patients: A total of 97 patients suffering from LBP. Interventions: Routine care (TENS group) or routine care plus a therapeutic education program (TENS-TEP group) based on consultation support by a pain resource nurse Main outcome measures: EIFEL and Dallas Pain Questionnaire scores. Results: Twenty-two patients (44%) were still assessable at the end-of-study visit, whereas 33 (70%) were assessable at the same time point in the TENS-TEP group (P = 0.013). The EIFEL score and the Dallas score had a similar evolution over time between groups (p = 0.18 and p = 0.50 respectively). Similarly, there were no significant differences between the groups with respect to resting pain scores (p = 0.94 for back pain and p = 0.16 for leg pain) and movement pain scores (p = 0.52 for back pain and p = 0.56 for leg pain). At Month 6, there was no significant difference between the groups (p = 0.85) with regard to analgesics and social impact. Two patients presented a serious adverse event during the study (one in each group) but non-attributable to the treatment studied. Conclusion: This study does not support the use of TENS in the treatment of patients with chronic LBP even though patients benefited from a therapeutic education program by a pain resource nurse. However, the higher number of premature withdrawals in the TENS group may be due to early withdrawal of patients who did not experience improvement of their symptoms.
Data for: Electrical Conductivity of Superionic Hydrous SiO2 and the Origin of Lower-mantle High Conductivity Anomalies Beneath Subduction Zones
<p><strong>Dataset S1.</strong> Experimental conditions and the measured resistance and conductivity of hydrous Al-bearing SiO2. </p>
Planning resource adequacy of wind- and solar-based electricity systems: Input data and results files
<p>This record contains the input data and raw results files for the study titled "<a href="https://www.sciencedirect.com/science/article/pii/S2666792424000234">Planning reliable wind- and solar-based electricity systems</a>."</p> <p>Tyler H. Ruggles, Edgar Virgüez, Natasha Reich, Jacqueline Dowling, Hannah Bloomfield, Enrico G.A. Antonini, Steven J. Davis, Nathan S. Lewis, Ken Caldeira, "Planning reliable wind- and solar-based electricity systems," Advances in Applied Energy, 2024, https://doi.org/10.1016/j.adapen.2024.100185.</p> <p>Additionally, csv files are provided to recreate the associated figures in the paper in the "Figures_files.zip" file.</p> <p>The input data contains wind and solar generation availability profiles and electricity demand profiles for the contiguous US. The profiles cover the years 1950-2022 and are calculated from the ERA5 dataset. The study only used the satellite era data from the year 1979 onward. Input profiles are presented at 4 resolutions: hourly, 2-hour, 3-hour, and 4-hour resolution.</p> <p>The results files contain some keys indicating the modeling scenario used: "SWB" = "Solar+Wind+Battery"; "SWBNG" = "Solar+Wind+Battery+Natural Gas generation"; and "SWBPGP" = "Solar+Wind+Battery+Power-to-H2-to-Power Loop". The files can be grouped into multiple categories:</p> <ol> <li>The main analysis including the initial energy system optimization results and the secondary system performance testing results. <ol> <li>Initial optimization results are found in zip files titled "Initial_Optimization_Jan29v1_*.zip"</li> <li>The testing of the optimized systems are found in the zip file "Lost_Load_Decade_Testing_Jan29v1.zip"</li> </ol> </li> <li>A secondary analysis compared systems optimized on a single year of data and tested on a single other year of data. Those results are in "Matrix_Figure_NYrs1_Aug04v1.zip"</li> <li>A supplementary analysis compared the modeled results using input data with the 4 different time resolutions. These results can be found in the zip files titled "DeltaT_Test_July08v1dt*.zip"</li> </ol>
Data from: Acoustic and electrical properties of Fe-Ti oxides with application to the deep lunar mantle
<p>The overturn of titanium-rich mantle cumulates has been invoked to explain the structure and dynamics of the Moon. These dense cumulates are stable at the core-mantle boundary (CMB) and could explain field anomalies inferred from geophysical studies. We report the first acoustic and electrical experiments on natural ilmenite-rutile aggregates up to 4.5 GPa and 1920 K. Seismic velocities show a weak pressure and temperature dependence, with Vs ~4.2 (+/-0.2) km/s and Vp ~ 8.0 (+/-0.2) km/s at the CMB conditions. Conductivity increases by a factor > 10<sup>4</sup> over 373-1920 K and is >10<sup>3</sup> S/m above 1573 K. Seismic and electrical mixing models of Fe-Ti oxides - olivine rocks based on our results indicate that field velocity and conductivity estimates are reproduced satisfactorily with 3-16% Fe-Ti oxides and 20% melt. Interactions between this Ti-rich and melt-bearing layer and the adjacent core likely affect the cooling and magnetic history of the Moon.</p>
Open Data Set for the article Analysing the impact of renewables on Iberian wholesale electricity market prices using machine learning techniques. Green Finance, 2024, 6 (2), 363-382
<p>The datasets available for open access from the article ‘<em>Ballester, C. and Furió, D. (2024). Analysing the impact of renewables on Iberian wholesale electricity market prices using machine learning techniques. Green Finance, 6 (2), 363-382</em>’ are provided here. This study has been supported by funding from the Spanish Ministry of Science, Innovation, and Universities (Project PGC2018-093645-B-100).</p> <p>The data encompasses the price series of the components of the final wholesale prices, other than the day-ahead market price, at an hourly frequency, from January 2017 to December 2021. In particular, the daily average of the hourly price series of the intraday market, which captures the net effect of the six sessions of the intraday market on the final price, the daily average of the hourly net effect on the final price of the procedure to solve technical constraints, the daily average of the hourly costs resulting from ancillary services and deviation management, the daily average of the hourly costs related to capacity payments and the daily average of the hourly costs associated with the interruptibility service. In addition, we compute the daily average of the hourly series of bids (price and amount) individually submitted by market participants to buy or sell energy, distinguishing between matched and non-matched bids, both in the day-ahead market and in the first session of the intraday market. Other energy-related price series included in the analysis are: the Dutch TTF futures price, the API2 index for the coal price, the EUA futures price, the percentage of hours with 100% use from the France-Spain interconnection, the spread from the France-Spain interconnection, the percentage of water reserves in the reservoirs of the Iberian Peninsula. All shareable data are made available in accordance with open data principles to promote transparency and reproducibility in research. However, there is a specific dataset that we are not authorized to share publicly. Specifically, this includes the data corresponding to the Dutch TTF futures price and the API2 index. Consequently, this dataset is published under restricted access.</p>
Open Data Set for the article Dynamic demand response to electricity prices: Evidence from the Spanish retail market. Utilities Policy, 88 (2024), 101763
<p><span>The datasets available for open access from the article ‘Furió, D. and Moreno-del-Castillo, J.<em> Dynamic demand response to electricity prices: Evidence from the Spanish retail market. Utilities Policy, 88 (2024), 101763</em>’ are provided here.</span></p> <p><span>The datasets comprise time series data on wholesale market global prices and quantity demanded by reference suppliers and competing retailers, along with day-ahead market prices for each of the 24 hours of the day spanning from January 1, 2007, to March 31, 2022. These series have been downloaded from the CNMC website. Additionally, primary temperature data were obtained from the Spanish Meteorological Agency’s website. This dataset provided hourly weather information from a nationwide network of weather stations. Given the scope of the demand series data, which reflects the entire Spanish market, the temperature series were constructed to ensure national representativeness. These data were then aggregated to develop comprehensive national temperature series, aligning them with the demand series. <span>Finally, a dummy variable for each day t of the studied period was constructed to capture the business/non-business day effect on electricity demand. It takes the value of 1 if </span></span><span>𝑡</span><span> corresponds to a working day (non-holiday, Monday to Friday) and 0 otherwise. The national holidays considered are as follows: January 1<sup>st</sup>, January 6<sup>th</sup>, May 1<sup>st</sup>, August 15<sup>th</sup>, October 12<sup>th</sup>, November 1<sup>st</sup>, December 6<sup>th</sup>, December 8<sup>th</sup>, and December 25th. Additionally, the corresponding Good Friday for each year included in the study period was also considered.</span></p>
Data and code for: A sensory ecology of fear: Eye size predicts moonlight avoidance responses in Neotropical electric fishes
<p>Data in support of: Eye size predicts moonlight avoidance responses in Neotropical electric fishes</p>
Data of "Modulating Electric Field Distribution by Alkali Cations for CO2 Electroreduction in Strongly Acidic Medium"
<p>Data of the paper "Modulating Electric Field Distribution by Alkali Cations for CO2 Electroreduction in Strongly Acidic Medium"</p>
Data for "Electrically Controlling and Optically Observing the Membrane Potential of Supported Lipid Bilayers"
<p>Raw data of all EIS, imaging and time-resolved fluorescence measurements presented in "Electrically Controlling and Optically Observing the Membrane Potential of Supported Lipid Bilayers".</p>
Master Thesis- Modeling of Electric Vehicle Charging Infrastructure and Comparison of Electric Vehicle Load Simulation with Empirical Charging Data
<p>All the data behind relevant plots in the thesis report are stored here</p>
Input data for Open-data based carbon emission intensity signals for electricity generation in European countries -- top down vs. bottom up approach
<p>This dataset contains all necessary input data to reproduce the results of the paper "Open-data based carbon emission intensity signals for electricity generation in European countries -- top down vs. bottom up approach".</p>
Output data for Open-data based carbon emission intensity signals for electricity generation in European countries -- top down vs. bottom up approach
<p>This dataset contains all output data (results) of the paper "Open-data based carbon emission intensity signals for electricity generation in European countries -- top down vs. bottom up approach".</p>
Selected Electric Field Measurement Campaigns data
<p>This presents the selected electric field measurement data acquired under several measurement campaigns in indoor and outdoor environments. </p> <p>This work was supported by the EU project 5GRFEX entitled – ‘Metrology for RF exposure from Massive MIMO 5G base station: Impact on 5G network deployment’ (this project has received funding from the support for impact (SIP) programme co-financed by the Participating States and from the European Union’s Horizon 2020 research and innovation programme), under European Association of National Metrology Institutes (EURAMET) Reference 18SIP02.</p> <p> </p>
The data for the 'The Distribution of Underlying Electrical Materials in Mainland China Using Geomagnetic Data'
<p>The raw geomagnetic data are provided by the Geomagnetic Network Center of China,Institute of Geophysics, China Earthquake Administration. The raw data for this research are not publicly available due to government policies and laws. In order to allow researchers to reproduce the results in this work, we upload the processed coefficients of the magnetic <br> transfer function complex A and B of the study.</p> <p>The format of the data is ’.mat’, please open it by MATLAB software. The initial cell array of data is one column, including successively six frequency bands:</p> <p>0.001–0.005 Hz,<br> 0.005–0.01 Hz,<br> 0.01–0.05 Hz,<br> 0.05–0.1 Hz,<br> 0.1–0.2 Hz,<br> 0.2–0.5 Hz</p> <p>Every frequency band contains four columns. The first and second columns are longitude and latitude of the stations, and the third and fourth columns are the coefficients of the magnetic transfer function complex A and B, respectively. There are 98 rows, which indicates 98 stations in Mainland China. The QZ station which is utilized to demonstrate the processes is on eighteenth row.</p>
Data from: Laminar microcircuitry of visual cortex producing attention-associated electric fields
<p>Cognitive operations are widely studied by measuring electric fields through EEG and ECoG. However, despite their widespread use, the neural circuitry giving rise to these signals remains unknown because the functional architecture of cortical columns producing attention-associated electric fields has not been explored. Here, we detail the laminar cortical circuitry underlying an attention-associated electric field measured over posterior regions of the brain in humans and monkeys. First, we identified visual cortical area V4 as one plausible contributor to this attention-associated electric field through inverse modeling of cranial EEG in macaque monkeys performing a visual attention task. Next, we performed laminar neurophysiological recordings on the prelunate gyrus and identified the electric-field-producing dipoles as synaptic activity in distinct cortical layers of area V4. Specifically, activation in the extragranular layers of cortex resulted in the generation of the attention-associated dipole. Feature selectivity of a given cortical column determined the overall contribution to this electric field. Columns selective for the attended feature contributed more to the electric field than columns selective for a different feature. Last, the laminar profile of synaptic activity generated by V4 was sufficient to produce an attention-associated signal measurable outside of the column. These findings suggest that the top-down recipient cortical layers produce an attention-associated electric field that can be measured extracortically with the relative contribution of each column depending upon the underlying functional architecture.</p>
Data for: Experimental and numerical methods to ensure comprehensible and replicable electrical stimulation experiments
<p>Replication data for "Experimental and numerical methods to ensure comprehensible and replicable electrical stimulation experiments".</p>
Data for 'Integrating direct electrical brain stimulation with the human connectome'
<p>Cortical and subcortical DES coordinates in MNI space, anonymized patients’ demographic data, and aggregated functional maps for the 12 functional categories described in the accompanying publication.</p> <p>Link to publication: https://doi.org/10.1093/brain/awad402</p> <p>If you use this data please do not forgeto to cite our work.</p>
Data for "A New Method of Three-Dimensional Location for Low-frequency Electric Field Detection Array"
<p>In a manuscript entitled “A New Method of Three-Dimensional Location for Low-frequency Electric Field Detection Array”, the lightning location data obtained by the low-frequency electric field detection array (LFEDA) were analyzed. The data of our results are including in the Data_for_Fig_0x.ogw. These files can be opened by Origin 9.0(or later). The data supports the aforementioned manuscript and can be used freely for scientific purposes with appropriate citation.</p>
Quantitative evidence for modelling electric vehicles - Supplementary Data
<p><strong>Please cite as:</strong></p> <p>Malte Jansen, Rob Gross, and Iain Staffell. ‘Quantitative Evidence for Modelling Electric Vehicles’. <em>Renewable and Sustainable Energy Reviews</em> 199 (1 July 2024): 114524. <a href="https://doi.org/10.1016/j.rser.2024.114524">https://doi.org/10.1016/j.rser.2024.114524</a>.</p> <p><strong>Abstract:</strong></p> <p>Electric vehicles are now a major contributor to decarbonising the transport sector. Their rollout has accelerated rapidly since 2020, reaching a global fleet of 40 million in 2023. This presents both problems and opportunities for electricity systems, with charging increasing peak loads, but also providing a large new source of flexibility to help manage increased shares of wind and solar generation, shift peak demand and improve network management.</p> <p>While EV flexibility is widely discussed, there is uncertainty surrounding the magnitude to which EVs could help electricity systems, and a distinct lack of quantitative evidence around adoption, charging behaviour and technical capabilities for load shifting. This study employs the rapid evidence assessment method to synthesise recent information. We find that studies expect that EVs could provide 1–11 GW of flexible capacity per million vehicles (median: 3.7 GW), with the ability to shift demand by 1.5–5 hours (median: 4 hours) and a price elasticity of –0.77 to –0.10 (median: –0.15). Diurnal profiles of charging demand and availability for providing flexibility are aggregated across multiple studies. The results are relevant for energy modellers and show that the interaction between EVs and electricity systems can be generalised on a widely-applicable basis.</p>
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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)
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.