Find research datasets worth reusing

Data - Ultrafast generation of hidden phases \\ via energy-tuned electronic photoexcitation in magnetite

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Precipitation-induced dissipation limits storm kinetic energy in a warming climate

This zip file contains data and codes to reproduce the figures of a manuscript on precipitation-induced dissipation in X-SHiELD. Contact mbolot@princeton.edu for questions.

Cellular cruise control: energy expenditure as a regulator of collective migration in epithelia

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Source research data for the article titled "A Nature-Inspired Approach to Energy-Efficient Relay Selection in Low-Power Wide-Area Networks (LPWAN)".

The source research data set developed and utilized while working on the article "A Nature-Inspired Approach to Energy-Efficient Relay Selection in Low-Power Wide-Area Networks (LPWAN)" for Sensors SI. The data set includes simulation results from OMNeT++ and the data to evaluate the parameters of the algorithms.

opencc-by-4.0Dec 2022View details →

Minimizing habitat conflicts in meeting net-zero energy targets in the western United States

This dataset contains spatial and non-spatial input and output data generated for and from the <a href="https://www.nature.org/en-us/what-we-do/our-priorities/tackle-climate-change/climate-change-stories/power-of-place/">Power of Place West</a> study, published in the Proceedings of the National Academy of Science (PNAS). See readme pdf for more details.

Networks files of main scenarios analysed in "Distributed photovoltaics provides key benefits for a highly renewable European energy system"

This repository contains the network files (.nc) of the main scenarios (A, B, C, and D) used for analysis in the paper. The code for reproducing these files plus other network files used for sensitivity analysis plus the Jupyter notebooks used for creating all the figures in the paper are available at: https://github.com/Parisra/Distributed-PV-paper

Primary Fossil Energy Use and Costs as used for "Savings and Avoided Costs of Living Carbon Negative"

This Excel file provides the primary fossil energy use and costs data and calculations as used for "Savings of Living Carbon Negative".

United States-Physical Education and Physical Activity Policy Energy Expenditure Calculations by State (K-12)

Represents formulas and calculations of energy expenditure (kcal) in PE for grades K-12 based on teacher-reported lesson frequency and duration across 50 states and the District of Columbia.

opencc-by-4.0Mar 2024View details →

Core Binding Energy Calculations: A Scalable Approach with the Quantum Embedding Based Equation-of-Motion Coupled-Cluster Method

This data includes the HF-optimized orbitals, coupled cluster amplitudes (T1, T2), and EOM-CCSD left and right eigenvectors at the CC-PCVDZ basis set. It can be used to reproduce the data for "Core Binding Energy Calculations: A Scalable Approach with the Quantum Embedding Based Equation-of-Motion Coupled-Cluster Method."

opencc-by-4.0Apr 2024View details →

Potential energy surface for methanimine

Molpro restart file (ASCII) for the XSURF program of the potential energy expanded in terms of normal coordinates of methanimine. Data refer to the publication VSCF/VCI theory based on the Podolsky Hamiltonian (https://doi.org/10.1063/5.0213401).

The BAU Scenario Clic Sand , R.E Scenario Clic Sand and an integrated BAU and R.E Visualization Results for Energy Policy for Uganda Using OSeMOSYS

Business As Usual  (BAU) Scenario , Renewable Energy (R.E) Scenario Clic Sand are used as data sets to run the model. The integrated BAU and R.E. visualization result templates contain the findings of the models. For instance, power generation graphs, installed energy capacity graphs, annual capital cost graphs, annual carbon dioxide emissions graphs , capital cost and any other parameters of interest  related to the model can be found in the result visualization template.

Dataset for publication "Thermal cycling damage of silica refractories for high-temperature thermal energy storage (HT-TES) – can it be healed?"

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openmit-licenseMar 2024View details →

Adaptive morphing of wing and tail for stable, resilient, and energy-efficient flight of avian-informed drones

This repository contains the code and data collected during the experiments described in the paper "Adaptive morphing of wing and tail for stable, resilient, and energy-efficient flight of avian-informed drones". The zip file has the following structure <ul> <li>code (with its own README file)</li> <li>data (flight data of each experiment)</li> <li>video (video of each experiment)</li> </ul>

Datasets Experimental Studies on Energy Communities (Task 4.2, D4.1)

The datasets are part of WP4 and the Report on experimental lab studies on energy communities (D4.1):  Municipality and citizen involvement: <ul> <li>Study 1 Netherlands, mailing list Vattenfall </li> <li>Study 2 Representative sample Netherlands</li> <li>Study 3 Replication Poland</li> </ul> Environmental motivation and connection with the local community: <ul> <li>Study 4 Germany</li> <li>Study 5 Italy</li> </ul> Diversity and representation in energy communities: <ul> <li>Study 6 Netherlands</li> <li>Study 7 Replication Italy</li> </ul> Energy citizenship at the local, national, and EU level: <ul> <li>Study 8 Austria</li> <li>Study 9 Replication the Netherlands</li> <li>Study 10 Replication Germany </li> </ul> Available upon request: <ul> <li> Not all measures are included in these datasets, to ensure anonymity. More extensive versions of datasets 1-7 (e.g., including socio-demographics) are available upon request via DataverseNL (<a href="https://doi.org/10.34894/H2WVYG">https://doi.org/10.34894/H2WVYG). </a> </li> </ul> Note. Data for studies 1-7 was collected and processed by the research team of the University of Groningen, data for studies 8-10 was collected and processed by the research team of the University of Graz.

Data related to: Global land-water competition and synergy between solar energy and agriculture

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Supporting data of "Temperature-dependent dynamics of energy stores in Drosophila" article

The data generated in the study: Knoblochová, D., Dharanikota, M., Gáliková, M., and Klepsatel, P.: Temperature-dependent dynamics of energy stores in Drosophila.

Data for "The 20-year highest tropical cyclone-generated waves associated with the maximum energy of seismic noises" (Subset 4)

This is dataset of ocean wave simulations used in the paper "The 20-year highest tropical cyclone-generated waves associated with the maximum energy of seismic noises" by Shimura et al. (submitted). The dataset contains  <ul> <li>significant wave height (Subset 1),</li> <li>wave induced surface pressure (Subset 2)</li> <li>long-period componet of wave heights (Subset 3)</li> <li>long-period component of surface pressure (Subset 4)</li> </ul> during 2004 from 2023 summer.

Data for "The 20-year highest tropical cyclone-generated waves associated with the maximum energy of seismic noises" (Subset 1)

Data for "The 20-year highest tropical cyclone-generated waves associated with the maximum energy of seismic noises" (Subset 2)

Gravitational Asymmetry and the Arrow of Time: The Role of Spacetime Energy Diffusion

The asymmetry of gravity and its relationship to the arrow of time is a fundamental question in physics. This paper explores this connection from the perspective of spacetime energy diffusion, proposing a mechanism by which the asymmetry of the gravitational field induces energy diffusion, leading to the emergence of irreversibility of time on macroscopic scales. The theory is developed through a detailed derivation of the energy diffusion equation, incorporating the effects of spacetime curvature via the connection coefficients. A curvature-dependent diffusion coefficient is introduced to quantify the effect of curvature on energy diffusion rates. The entropy production rate is separated into thermal and gravitational contributions, providing a new perspective on the thermodynamic arrow of time. The potential impact of quantum gravity effects in regions of extreme spacetime curvature is also considered, suggesting possible modifications to the classical energy diffusion equation. The theory is consistent with the thermodynamic arrow of time and opens up new avenues for exploring the deep connections between gravity, quantum mechanics, and the nature of time. Future research directions include connecting this theory to fundamental physics, exploring applications to the early universe, and pursuing experimental and observational verification.