Find research datasets worth reusing

opencc-by-4.0Apr 2023View details →

Dataset to the article 'Redox-zoning in high-energy subterranean estuaries as a function of storm floods, temperatures, seasonal groundwater recharge and morphodynamics'

This repository contains model input files, and pre- and post-processing scripts for the research article: Janek Greskowiak, Stephan L. Seibert, Vincent E.A. Post, Gudrun Massmann (2023), Redox-zoning in high-energy subterranean estuaries as a function of storm floods, temperatures, seasonal groundwater recharge and morphodynamics, Estuarine, Coastal and Shelf Science, https://doi.org/10.1016/j.ecss.2023.108418 Data: The folder Laserascannerdata_top_and_hydr_heads contains five cross-shore topography profiles of a high energy beach on Spiekeroog Island, Germany, including a python-script that assembles them to a daily times-series over one year and that calculates the tide-averaged hydraulic heads in the intertidal zone as detailed in Greskowiak and Massmann (2021), The impact of morphodynamics and storm floods on pore water flow and transport in the subterranean estuary, Hydrological Processes, 35:e14050, https://doi.org/10.1002/hyp.14050 Model input: The file Dynamod_1_redox_basecase.zip contains a folder with the model input textfiles (SEAWAT and PHT3D) for the case that considers all dynamic influence factors investigated in the paper, i.e., seasonal meteoric groundwater recharge, stormfloods, temperature-dependence of reaction rates and morphodynamics. The files pht3d_ph.dat and pht3d_datab.dat are PHT3D model specific files defining the reacants and reactions, and have to be copied into the model folder before PHT3D is started. Run models: First the SEAWAT model needs to be run with the name file 'Dynamod_1_redox_basecase.nam'. This creates the mt3d link file 'mt3d_link.ftl'. After that, PHT3D has to be started with the name file 'pht3d.nam' Note that running the models will generate 22 Gybte output. Pre-processing: All model input files were generated with the python-script Dynamod_1_redox_basebase.py using Flopy, a python-based groundwater modelling user-interface: https://www.usgs.gov/software/flopy-python-package-creating-running-and-post-processing-modflow-based-models Post-processing: For the figures 3,4 and S1, S2 in the paper, the corresponding python scripts are provided in this database. Note that with respect to Figures 5 and S3, only the results for the case with all dynamic influence factors (Figure S3_h) are being plotted.   Other model output: Animation_A1_Dynamod_redox.mp4 is a video animation showing the dynamic modelled salinity and temperature distribution, and redox zoning in the subterranean estuary all dynamic influence factors investigated in the paper, i.e., seasonal meteoric groundwater recharge, stormfloods, temperature-dependence of reaction rates and morphodynamics.

Data set for Chemical bond analysis for the entire periodic table: Energy Decomposition and Natural Orbitals for Chemical Valence in the Four-Component Relativistic Framework

Data related with the publication :Chemical bond analysis for the entire periodic table: Energy Decomposition and Natural Orbitals for Chemical Valence in the Four-Component Relativistic Framework by Diego Sorbelli, Paola Belanzoni, Loriano Storchi, Olivia Bizzarri, Beatrice Bizzarri, Edoardo Mosconi and Leonardo Belpassi Input and data for: Tab.1 --> data in dir "w_dimer_AVDZ" and in dir "ADF/w_dimer". Tab.2 --> data in dir "Agalkyne" and in dir "ADF/Agalkyne" Tab.3 --> data in dir "TMC05ethene"

Randomly stacked open cylindrical shells as functional mechanical energy absorber

Experimental and simulation data for the paper entitled Randomly stacked open cylindrical shells as functional mechanical energy absorber.  Download and unzip the AllFigureData.zip.  Contact Experiments: sano@mech.keio.ac.jp Simulations: florence.bertails@inria.fr

opencc-zeroJul 2023View details →

dryad32/100

Renewable energies and biodiversity: impact of ground-mounted solar photovoltaic sites on bat activity

<ol> <li>Renewable energy is growing at a rapid pace globally, but as yet there has been little research on the effects of ground-mounted solar photovoltaic (PV) developments on bats, many species of which are threatened or protected.</li> <li>We conducted a paired study at 19 ground-mounted solar PV developments in southwest England. We used static detectors to record bat echolocation calls from boundaries (i.e., hedgerows) and central locations (open areas) at fields with solar PV development, and simultaneously at matched sites without solar PV developments (control fields). We used generalized linear mixed-effect models to assess how solar PV developments and boundary habitat affected bat activity and species richness.</li> <li>The activity of six of eight species/species groups analysed was negatively affected by solar PV panels, suggesting that loss and/or fragmentation of foraging/commuting habitat is caused by ground-mounted solar PV panels. Pipistrellus pipistrellus and Nyctalus spp. activity was lower at solar PV sites regardless of the habitat type considered. Negative impacts of solar PV panels at field boundaries were apparent for the activity of Myotis spp. and Eptesicus serotinus, and in open fields for Pipistrellus pygmaeus and Plecotus spp.</li> <li>Bat species richness was greater along field boundaries compared with open fields, but there was no effect of solar PV panels on species richness.</li> <li> Policy Implications: Ground-mounted solar PV developments have a significant negative effect on bat activity, and should be considered in appropriate planning legislation and policy. Solar PV developments should be screened in Environmental Impact Assessments for ecological impacts, and appropriate mitigation (e.g., maintaining boundaries, planting vegetation to network with surrounding foraging habitat) and monitoring should be implemented to highlight potential negative effects.</li> </ol>

opencc-by-4.0Feb 2024View details →

Supplementary material to "Energy-oriented crane scheduling in a steel coil storage"

Benchmark instances for the energy-oriented crane scheduling problem in steel coil storages This file describes the structure and content of the accompanying data of the benchmark instances of the paper "Energy-oriented crane scheduling in a steel coil storage". The instances intend to assist future research efforts in the domain of crane scheduling in steel coil storage.

Data for the study: "Variational principle to regularize machine-learned density functionals: the non-interacting kinetic-energy functional"

This set of files contains the raw data generated by the study titled: "Variational principle to regularize machine-learned density functionals: the non-interacting kinetic-energy functional" Contains: - A set of Jupyter Notebooks to analyzed the data and produce the figures presented in the paper. - runs: Contains the training and validation scripts for each of the systems studied in this work. Also holds the model weights and validation data. Three folders are found: Hchain, noninteracting and Atoms. - datasets: Holds all the datasets generated and employed in this work.

Replication Package for "An Exploratory Literature Study on Sharing and Energy Use of Language Models for Source Code"

This repository contains the replication package for the paper "An Exploratory Literature Study on Sharing and Energy Use of Language Models for Source Code" by Max Hort, Anastasiia Grishina, and Leon Moonen, accepted for publication in the 17th ACM/IEEE International Symposium on Empirical Software Engineering and Measurement (ESEM 2023). The paper is deposited on arXiv, will be available later at the publisher's site (<a href="https://ieeexplore.ieee.org/Xplore/home.jsp">IEEE</a>), and a copy is included in this repository. The replication package is archived on Zenodo with DOI: <a href="https://doi.org/10.5281/zenodo.8058667">10.5281/zenodo.8058667</a>. The data is distributed under the CC BY 4.0 license.   Citation If you build on this data or code, please cite this work by referring to the paper: <pre><code>@inproceedings{hort2023:sharing, title = {An Exploratory Literature Study on Sharing and Energy Use of Language Models for Source Code}, author = {Max Hort and Anastasiia Grishina and Leon Moonen}, booktitle = {17th ACM/IEEE International Symposium on Empirical Software Engineering and Measurement (ESEM 2023)}, year = {2023}, publisher = {IEEE} note = {To appear. Pre-print on arXiv.} }</code></pre>

Linear-to-Circular Polarization Conversion with Full-Silica Meta-Optics to Reduce Nonlinear Effects in High-Energy Lasers - Nature Com - Dataset

Data from the Nature Communication paper entitled "Linear-to-Circular Polarization Conversion with Full-Silica Meta-Optics to Reduce Nonlinear Effects in High-Energy Lasers" .OPJU files can be opened with ORIGINLab . MAT files can be opened with MATLAB/SCILAB

The impact of energy releasing B-vitamin intake on indices of obesity and cardiac function: a cross-sectional study

Supplementary file 1

Data repository for "Navigating trade-offs and sustainable development pathways in the Andean water-energy-food-ecosystem nexus"

Data and code supporting the research article: Navigating trade-offs and sustainable development pathways in the Andean water-energy-food-ecosystem nexus.

The impact of energy releasing B-vitamin intake on indices of obesity and cardiac function: a cross-sectional study

Consent form

The impact of energy releasing B-vitamin intake on indices of obesity and cardiac function: a cross-sectional study

Study Questionnaire

Ca isotope data and codes for "Moon's high-energy giant-impact origin and differentiation timeline inferred from Ca and Mg stable isotopes"

Ca isotope data for "Moon’s high-energy giant-impact origin and differentiation timeline inferred from Ca and Mg stable isotopes" published in Communications Earth & Environment (2023)

Simulation dataset for "HORNET - A Power Density Quantifying Out of Thermodynamic Equilibrium Energy Conversion"

Simulation dataset for reproducing figures used in the manuscript

opencc-by-4.0Aug 2023View details →

Clusternets: A deep learning approach to probe clustering dark energy

This directory contains all the necessary data, codes, and notebooks to reproduce the results of the paper titled "Clusternets: A deep learning approach to probe clustering dark energy" Directories <ul> <li>Codes: This directory contains different codes used to generate and post-process the simulation data, including k-evolution, gevolution, Pylians, CLASS, and LATfield2.</li> <li>Final figures and data: This directory includes the data for the power spectra, simulation settings and Jupyter notebooks to produce the figures.</li> </ul> How to Use <ol> <li>Download the files to your local machine.</li> <li>Navigate to the directory where the files are saved.</li> <li>Install the necessary packages</li> <li>Navigate to the "Final figures and data" directory and open the Jupyter notebooks in your preferred environment.</li> <li>Run the cells in the notebooks to reproduce the figures.</li> <li>Navigate to the "Codes" directory and use the appropriate code to generate and post-process the simulation data.</li> <li>Use the simulation setting files in the "Final figures and data" directory to replicate the simulations.</li> </ol> Note: Some of the simulations may require high computational resources and may take a significant amount of time to run. If you have any feedback or request feel free to email chgeniamirsbu@gmail.com and farbod.hassani@gmail.com

opencc-by-4.0May 2023View details →

Supplementary Documents for Manuscript 'Investigating the use of two-dimensional OSL laser scanning instruments and energy-dispersive x-ray spectroscopy for OSL exposure dating'

This file contains all the supplementary material for the manuscript 'Investigating the use of two-dimensional OSL laser scanning instruments and energy-dispersive x-ray spectroscopy for OSL exposure dating' sent to Radiation Measurements on 8/20/2023.

opencc-by-4.0Aug 2023View details →

Energy dissipation of a carbon monoxide molecule manipulated using a metallic tip on copper surfaces

Computational dataset for our research papers on energy dissipation of a carbon monoxide molecule manipulated using a metallic tip on copper surfaces: N. Okabayashi, T. Frederiksen, A. Liebig, and F. J. Giessibl Dynamic friction unraveled by observing an unexpected intermediate state in controlled molecular manipulation <a href="https://journals.aps.org/prl/abstract/10.1103/PhysRevLett.131.148001">Phys. Rev. Lett. 131, 148001 (2023)</a> N. Okabayashi, T. Frederiksen, A. Liebig, and F. J. Giessibl Energy dissipation of a carbon monoxide molecule manipulated using a metallic tip on copper surfaces <a href="https://journals.aps.org/prb/abstract/10.1103/PhysRevB.108.165401">Phys. Rev. B 108, 165401 (2023)</a>

Computing free energies of fold-switching proteins using MELD x MD

In this Zenodo repository, we provide the MELD script and data for a few representative systems in the DP-MELD.zip, GA_GB-MELD.zip, and RfaH-MELD.zip files. The contents of the repository are described below: <ol> <li> MELD Simulation: <ul> <li>Filename: DP-MELD.zip, GA_GB-MELD.zip, and RfaH-MELD.zip</li> <li>Description: These archives contain the necessary files and scripts for the MELD simulation.</li> </ul> </li> <li> Setup Script: <ul> <li>Filename: setup.py</li> <li>Description: This script is used to set up the MELD simulation.</li> </ul> </li> <li> Trajectory Analysis Script: <ul> <li>Filename: Clustering.sh</li> <li>Description: This script analyzes the trajectories obtained from the MELD simulation.</li> </ul> </li> <li> Protein Information: <ul> <li>Location: TEMPLATES folder</li> <li>Files: <ul> <li>Protein topology file: .top</li> <li>Coordinate file: .crd</li> <li>PDB file: .PDB</li> </ul> </li> <li>Description: These files provide input information for a few representative proteins.</li> </ul> </li> <li> Residue-Residue Contact Information: <ul> <li>Files: <ul> <li>contact_model1.dat</li> <li>contact_model2.dat</li> </ul> </li> <li>Description: These files contain information about the contacts between residues.</li> </ul> </li> <li> Replica Trajectory Files: <ul> <li>Filename: trajectory.00.dcd</li> <li>Description: These files contain the trajectories obtained from the simulation for the corresponding bottom replica.</li> </ul> </li> <li>Clustering Output: <ul> <li>Folders: Cluster_6 or Cluster_3.5</li> <li>Description: These folders contain the results of the clustering analysis, including the computed population and the average conformers for each cluster.</li> </ul> </li> </ol> Furthermore, we provide an additional archive called unfold.zip: <ol> <li>Unfolded Ensemble: <ul> <li>Filename: unfold.zip</li> <li>Description: This archive contains the unfolded ensemble, which is used to determine the force required for rebalancing two group springs for the MELD run between two conformers (A and B) before executing the MELD simulation.</li> </ul> </li> </ol>

opencc-by-4.0Aug 2023View details →

Dataset for "Geospatial segmentation of high-resolution photovoltaic production maps for Switzerland", Frontiers Energy

## Notes 1. The following tif files contain the Plain-Of-Array irradiation on south-facing solar panels with different tilts {20,30,40,50,60,70} and during different seasons {summer,winter}. 2. The file pattern is poa\_{season}\_tilt\_{tilt}.tif 3. Read Section 2.2 of the research article for details on how these files were created.  4. These values are POA and need to be converted to energy production via an efficiency factor. This factor was chosen to be a fixed value of 20\% as noted in Section 2.2 of the research article.

Data set for Dynamic Service Restoration of Distribution Networks with Volt-Var Devices, Distributed Energy Resources, and Energy Storage Systems

Data for three power distribution systems are presented in this document. The first system consists of 53 nodes and 61 branches. The second is composed of 217 nodes and 219 branches. Finally, the third system consists of 404 nodes and 430 branches. Both distribution systems offer extensive applications in problems related to multi-time service restoration, Volt/Var devices, and distributed energy resource operation.