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858 results for “Energy Data”
Data file for paper: Rubio Garcia, Javier; Kucernak, Anthony; Zhao, Dong; Li, Danlei; Fahy, Kieran; Yufit, Vladimir; Brandon, Nigel; Gomez-Gonzalez, Miguel, "Hydrogen/manganese hybrid redox flow battery", Journal of Physics: Energy, 2018
<p>The data in this spreadsheet was used to produce the figures in the paper</p> <p>Rubio Garcia, Javier; Kucernak, Anthony; Zhao, Dong; Li, Danlei; Fahy, Kieran; Yufit, Vladimir; Brandon, Nigel; Gomez-Gonzalez, Miguel, "Hydrogen/manganese hybrid redox flow battery", Journal of Physics: Energy, 2018</p> <p>DOI: 10.1088/2515-7655/aaee17 </p> <p>Please cite the above reference if you wish to use this data</p>
Probing the effect of cadence on the estimates of photospheric energy and helicity injections in eruptive active region NOAA AR 11158 – movies of the data series
<p>This dataset contains movies of all photospheric data series used in the article Lumme et al. (2019) “Probing the effect of cadence on the estimates of photospheric energy and helicity injections in eruptive active region NOAA AR 11158”, submitted. Movies track the evolution of several photospheric quantities in the NOAA active region 11158 from the emergence of the active region well beyond the time of the strongest eruptive activity in the region.</p> <p>The tracked quantities include: magnetic, plasma velocity and electric fields, as well as the vertical component of the Poynting vector and the relative helicity flux density. All quantities are given in several spatial and temporal resolutions: the cadences range from 2.25 minutes to 24 hours, and the spatial resolution is either the maximum resolution of the SDO/HMI instrument (0.03 deg in heliographic coordinates, 364 km on the Sun) or 15 times lower (0.45 deg, 5470 km). Since Lumme et al. (2019) employs three electric field inversion methods, PDFI, raw DAVE4VM and inductive DAVE4VM methods, there are three versions of the electric field maps as well as the derivative quantities Poynting and helicity fluxes for each cadence and spatial resolution.</p> <p>All series, except for the magnetic field and LOS plasma velocity series, are plotted only at the central strong field parts of the active region. The temporal extent of the series used in the paper is Feb 10 14:00 – Feb 17 00:00, 2011. However, some of the movies span only the the most interesting part of the evolution Feb 13 00:00 onward, after which the active region started to exhibit strong flux emergence and energy and helicity fluxes.</p> <p>All movie files in the dataset are given using the following naming convention: “{quantity}_{method}_{cadence}_{res_info}.avi”, where “quantity” specifies the plotted quantity (e.g. horizontal electric field “Eh”), “method” specifies the method used to derive the quantity (e.g., “PDFI” for electric field; if empty, no method is specified), “cadence” specifies the cadence of the data either in minutes or hours (e.g. “2.25_min” or “12_h”), and “res_info” specifies the spatial resolution (if empty then, the data is given in full resolution, otherwise “res_info” is “rebin_15x” corresponding to the 15 lower spatial resolution).</p> <p> Movies of the following data series are included for all cadences and spatial resolutions.:<br> - All three components of the photospheric magnetic field “(Bx,By,Bz)” in a Cartesian basis where the solar surface is approximated flat via Mercator projection, as well as the vertical component of the magnetic field “Bz” and the LOS component of the plasma velocity “Vlos” (i.e. Dopplergram velocity) in the same system (note that the unlike in the usual convention, the LOS plasma velocity is negative for motions away from the observer). These data series are given only for two cadences 2.25- and 12-minutes in full spatial resolution, since rest of the cadences are created by sampling the 2.25-minute data. Data in the 15 times lower spatial resolution are given only at a cadence of 2.025 hours, as it is the highest cadence for which the 15 times lower resolution was used (see Lumme et al., 2019 for details).<br> - Horizontal photospheric plasma velocity "Vh = (Vx,Vy)" estimates derived using two optical flow methods FLCT (Fourier Local Correlation Tracking) and DAVE4VM (Differential Affine Velocity Estimator For Vector Magnetograms) plotted as arrows above the Bz component of the magnetic field.<br> - Horizontal photospheric electric field “Eh = (Ex,Ey)” estimates derived using three methods, PDFI, raw DAVE4VM and the inductive DAVE4VM method, plotted as arrows above the Bz component of the magnetic field.<br> - Vertical component of the Poynting vector “Sz” derived for each electric field estimate.<br> - Photospheric relative helicity flux density (denoted by “dHR/dt”) derived for each electric field estimate.</p> <p>January 16, 2019<br> Erkka Lumme<br> Doctoral student, MSc<br> Department of Physics<br> erkka.lumme@helsinki.fi<br> P.O. Box 68<br> FI-00014 University of Helsinki</p>
Input files and data for paper "Modules for Experiments in Stellar Astrophysics (MESA): Pulsating Variable Stars, Rotation, Convective Boundaries, and Energy Conservation"
<p>This entry contains input files to reproduce the results of the paper:</p> <p>Modules for Experiments in Stellar Astrophysics (MESA): Pulsating Variable Stars, Rotation, Convective Boundaries, and Energy Conservation.</p> <p>Each zip archive corresponds to a section of the paper, and includes README files in ASCII format with a description. Raw output data and plotting tools are also provided for some of the results.</p>
Data for Energy Landscapes for Digital Alchemy
<p>Data relating to the paper 'Energy Landscapes for Digital Alchemy'. See the README for details.</p>
IEEE-30 energy system data of multi-period market with intertemporal constraints
<p>This is the dataset that is used for the original article: "Locational marginal pricing in multi-period AC OPF environment"</p> <p>The dataset consists of the following files</p> <ul> <li>Case1.zip</li> <li>Case2.zip</li> <li>Case3.zip</li> <li>case_modifications.py</li> <li>data_spec.py</li> <li>OPF_formulation.pdf</li> </ul> <p>Multiperiod AC OPF is given in OPF_formulation.pdf. Modifications of traditional IEEE 30-node case are given in case_modifications.py</p> <p>The case files incorporate input and output multiperiod AC OPF and LMP decomposition data in csv and pickle formats. Data structure of case files is given in data_spec.py.</p> <p>For python users pickle files are given. Nevertheless, python environment is not required. Specification can be read as a text file. All necessary data are repeated in csv format.</p> <p>Step 1 are to define LMPs of limited energy resources or storage resources that are formed by actual marginal resources from all time periods (first LMP definition in fig. 6 in the paper).</p> <p>Step 2 are to define all other LMPs at price-taking nodes (second LMP definition in fig. 6 in the paper).</p> <p>The following interrelation between Lagrange multipliers, LMP components, and price-bonding factors holds true:</p> <pre>assert np.max(np.abs(output_ramp.sensitivities.dot(output_ramp.offer_gen_data.price).tolist() - output_ramp.ramping_gen_data.price)) < 1e-2 if output_pt_step1.components.shape[0]: step1_pf_filter = (~output_pf.is_limited_energy) & (~output_pf.is_storage) assert np.max(np.abs(output_pt_step1.components.node_price - (output_pt_step1.components.f + output_pt_step1.components.tc_sum + output_pt_step1.components.vc_sum))) < 1e-2 assert (output_pt_step1.components.f - output_pt_step1.w_f.dot(output_pf.node_price[step1_pf_filter])).abs().max() < 1e-2 assert (output_pt_step1.components.tc_sum - pd.concat( (w.dot(output_pf.offer_price[step1_pf_filter]) for w in output_pt_step1.w_tc_list), axis=1 ).sum(axis=1)).abs().max() < 1e-2 assert np.max(np.abs(output_pt_step2.components.node_price - (output_pt_step2.components.f + output_pt_step2.components.tc_sum + output_pt_step2.components.vc_sum))) < 1e-2 assert (output_pt_step2.components.f - output_pt_step2.w_f.dot(output_pf.node_price)).abs().max() < 1e-2 assert (output_pt_step2.components.tc_sum - pd.concat( (w.dot(output_pf.offer_price) for w in output_pt_step2.w_tc_list), axis=1 ).sum(axis=1) ).abs().max() < 1e-2</pre> <p> </p>
Dataset for solar energy intake correlated with weather forecast data
<p>This is the first release.</p>
data for "Observations of significant ion energy outflows associated with cusp ion outflows and the role of Poynting flux as an energy source"
Open the record for dataset details and reuse information.
Energy-dependence of the response of X-ray multimeter for mammography- radiation qualities - Supplemental Data
<p>Supplementary data to the manuscript “Energy-dependence of the response of X-ray multimeter for mammography- radiation qualities” by Elisabeth Salomon and Paula Toroi</p>
Protein structure data for "AI-predicted protein deformation encodes energy landscape perturbation"
<p>AF2-predicted protein structures of WT and mutant proteins that have corresponding ddG measurements in the ThermoMutDB database of protein mutant stability measurements. PDB structures are compressed using <a href="https://github.com/steineggerlab/foldcomp/">FoldComp</a>, and saved in "structures.zip".</p> <p>Summary of the final dataset and results can be found in "results_summary.pkl".</p> <p>Code used to plot figures can be found in "code4figs.zip".</p>
Data and code for "Design Principles for Energy Transfer in the Photosystem II Supercomplex from Kinetic Transition Networks"
<p>Data and code for "Design Principles for Energy Transfer in the Photosystem II Supercomplex from Kinetic Transition Networks".</p>
Data for the publication "Wind farm layout optimization with alignment constraints", submitted to Wind Energy Science, 2024
<p>The data in pickle format contains the optimal layouts corresponding to the numerical applications of the paper "Wind farm layout optimization with alignment constraints" submitted in Wind Energy Science, 2024.</p>
Data source-Nuclear penetration-Energy loss and optimization-Resilience
<p>The dataset contains seven sub-files and an Introduction file. The Introduction file details the contents of the seven sub-files and the data sources of each image shown in this work.</p>
Reference and ESPF-DRF QM/MM data for bimolecular interaction energies
<p>Reference QM data and ESPF-DRF QM/MM (generated with PyESPF + PySCF https://github.com/tomfay/PyESPF ) interaction energy data for a set of test bimolecular systems.</p>
Data for National carbon footprint estimations of an electrified internet of energy with circular economy under future EV market share prediction in China
<p>This dataset is created for National carbon footprint estimations of an electrified internet of energy with circular economy under future EV market share prediction in China.</p> <p>The dataset includes the energy demand for buildings of each province in China, the Centralized and Distributed PV-battery system design of each province in China, The EV and ICEV carbon emission comparison of each province in China, the electricity price in China, The Carbon footprint and NPV calculation of current and future building-transportation system in China.</p>
SST data from JAXA for "Importance of Strains in Kinetic Energy Conversion for Submesoscale Processes from an Anisotropic Perspective"
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Data associated with the study titled "Tailored anharmonic potential energy surfaces for infrared signatures"
<p><br>This repository contains the files for the computational study on "Tailored anharmonic potential energy surfaces for infrared signatures". The repository is organised into different folders as described below: </p> <p><br>================================================================<br>catechol <br>================================================================</p> <p>=============<br>1_opt: This folder contains the optimized xyz structure of catechol (B2PLYP-D3/aug-cc-pVTZ) <br>=============</p> <p>=============<br>2_pes: This folder contains all calculated potential energy surfaces (PES) and dipole moment surfaces (DMS) of catechol for the applied high-level (hl - B2PLYP), low-level (ll - r2SCAN-3c), and multilevel (ml) for all applied underlying coordinate types (FALCON and normal modes). The PES and DMS are provided in the MidasCPP sum-over-product format with the ending ".mop". The respective applied coordinates can be found in the subdirectory declared with "mol" and are given in the respective "Molecule.mmol" file format of MidasCpp. Folder declaration with e.g. "2mode, 6mode" etc. refer to a number of coordinates the PES is generated on. "2mc, 3mc" etc. refers to the respective mode-coupling level. </p> <p>/fc: refers to FALCON generated coordinates.</p> <p>/fc/full: refers to PES and DMS in the hl, ll, ml for the vibrational space with 36 FALCON coordinates. </p> <p>/fc/red: refers to PES and DMS in the hl, ll and ml for the reduced vibrational spaces of 2-mode, 6-mode and 12-modes generated with the FALCON growing scheme. </p> <p>/nc: refers to PES and DMS in the hl, ll, ml on normal modes of catechol. <br>============= </p> <p><br>===============================================================<br>uracil<br>===============================================================</p> <p>=============<br>1_opt: This folder contains the optimized xyz structure of uracil (B2PLYP-D3/aug-cc-pVTZ)<br>=============</p> <p>=============<br>2_pes: This folder contains all calculated potential energy surfaces (PES) and dipole moment surfaces (DMS) of catechol for the applied high-level (hl - B2PLYP), low-level (ll - r2SCAN-3c), and multilevel (ml) for all applied underlying coordinate types (FALCON and normal modes). The PES and DMS are provided in the MidasCPP sum-over-product format with the ending ".mop". The respective applied coordinates can be found in the subdirectory declared with "mol" and are given in the respective "Molecule.mmol" file format of MidasCpp. Folder declaration with e.g. "2mode, 6mode" etc. refer to a number of coordinates the PES is generated on. "2mc, 3mc" etc. refers to the respective mode-coupling level.</p> <p>/fc: refers to PES and DMS generated of created vibrational subspaces with the FALCON growing scheme.</p> <p>/nc/full: refers to PES and DMS in the HL, LL and ML with all normal coordinates.</p> <p>/nc/red/: refers to PES and DMS in the HL and LL for a selected number of normal coordinates.<br>=============</p> <p> </p> <p>==============================================================<br>falcon<br>==============================================================</p> <p>Input and output files for the generation of all FALCON coordinates in this work. </p>
Data and R File - The Role of Nutrient and Energy Limitation on Microbial Decomposition of Deep Podzolized Carbon: A Priming Experiment
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Data from: Functional traits and environmental conditions predict community isotopic niches and energy pathways across spatial scales
1. Despite ongoing research in food web ecology and functional biogeography, the links between food-web structure, functional traits and environmental conditions across spatial scales remain poorly understood. Trophic niches, defined as the amount of energy and elemental space occupied by species and food webs, may help bridge this divide. 2. Here, we ask how the functional traits of species, the environmental conditions of habitats and the spatial scale of analysis jointly determine the characteristics of trophic niches. We used isotopic niches as a proxy of trophic niches, and conducted analyses at spatial scales ranging from local food webs and metacommunities to geographically distant sites. 3. We sampled aquatic macroinvertebrates from 104 tank bromeliads distributed across five sites from Central to South America, and compiled the macroinvertebrates' functional traits and stable isotope values (δ15N and δ13C). We assessed how isotopic niches within each bromeliad were influenced by the functional trait composition of their associated invertebrates and environmental conditions (i.e., habitat size, canopy cover, and detrital concentration). We then evaluated whether the diet of dominant predators and, consequently, energy pathways within food webs, reflected functional and environmental changes among bromeliads across sites. Finally, we determined the extent to which the isotopic niches of macroinvertebrates within each bromeliad contributed to the metacommunity isotopic niches within each site, and compared these metacommunity-level niches over biogeographic scales. 4. At the bromeliad level, isotopic niches increased with the functional richness of species in the food web and the detrital concentration in the bromeliad. The diet of top predators tracked shifts in prey biomass along gradients of canopy cover and detrital concentration. Bromeliads that grew under heterogeneous canopy cover displayed less trophic redundancy and therefore combined to form larger metacommunity isotopic niches. Finally, the size of metacommunity niches depended on within-site heterogeneity in canopy cover. 5. Our results suggest that the trophic niches occupied by food webs can predictably scale from local food webs to metacommunities to biogeographic regions. This scaling process is determined by both the functional traits of species and heterogeneity in environmental conditions.
Data from: Computer simulations show that Neanderthal facial morphology represents adaptation to cold and high energy demands, but not heavy biting
Three adaptive hypotheses have been forwarded to explain the distinctive Neanderthal face: 1) an improved ability to accommodate high anterior bite forces, 2) more effective conditioning of cold and/or dry air, and, 3) adaptation to facilitate greater ventilatory demands. We test these hypotheses using three-dimensional models of Neanderthals, modern humans, and a close outgroup (H. heidelbergensis), applying finite element analysis (FEA) and computational fluid dynamics (CFD). This is the most comprehensive application of either approach applied to date and the first to include both. FEA reveals few differences between H. heidelbergensis, modern humans and Neanderthals in their capacities to sustain high anterior tooth loadings. CFD shows that the nasal cavities of Neanderthals and especially modern humans condition air more efficiently than does that of H. heidelbergensis, suggesting that both evolved to better withstand cold and/or dry climates than less derived Homo. We further find that Neanderthals could move considerably more air through the nasal pathway than could H. heidelbergensis or modern humans, consistent with the propositions that, relative to our outgroup Homo, Neanderthal facial morphology evolved to reflect improved capacities to better condition cold, dry air, and, to move greater air volumes in response to higher energetic requirements.
Data from: Convergence in organ size but not energy metabolism enzyme activities among wild Lake Whitefish (Coregonus clupeaformis) species pairs
The repeated evolution of similar phenotypes by similar mechanisms can be indicative of local adaptation, constraints or biases in the evolutionary process. Little is known about the incidence of physiological convergence in natural populations, so here we test whether energy metabolism in 'dwarf' and 'normal' Lake Whitefish evolves by similar mechanisms. Prior genomic and transcriptomic studies have found that divergence in energy metabolism is key to local adaptation in whitefish species pairs, but that distinct genetic and transcriptomic changes often underlie phenotypic evolution among lakes. Here, we predicted that traits at higher levels of biological organization, including the activities of energy metabolism enzymes (the product of enzyme concentration and turnover rate) and the relative proportions of metabolically active tissues (heart, liver, skeletal muscle), would show greater convergence than genetic and transcriptomic variation. We compared four whitefish species pairs and found convergence in organ size whereby all dwarf whitefish populations have a higher proportion of red skeletal muscle, three have relatively larger livers and two have relatively larger ventricles than normal fish. On the other hand, hepatic and muscle enzyme activities showed little convergence and were largely dependent on lake of origin. Only the most genetically divergent species pair (Cliff Lake) displayed white muscle enzyme activities matching results from laboratory-reared normal and dwarf whitefish. Overall, these data show convergence in the evolution of organ size, but not in the activities of candidate enzymes of energy metabolism, which may have evolved mainly as a consequence of demographic or ecological differences among lakes.
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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.