Find research datasets worth reusing

Climate change and energy policy control the future of Myanmar's rivers

This data repository holds input and output data for the paper Jin XY., Chowdhury, A.K., Dang, T.D., Deshmukh, R. and Galelli, S. “Climate change and energy policy control the future of Myanmar's rivers”. See Readme for more details.

Energy Consumption of IoT Monitoring Software Architectures in the Edge

Data repository with  the raw and synthesized data of the paper published in the ECSA 2024 "Energy Consumption of IoT Monitoring Software Architectures in the Edge" This repository presents the experimental results of an exploratory study that measures the energy consumption of  four Edge software architecture configurations of an indoor environmental monitoring IoT system. This dataset provides the raw measurements, the data analysis and the results comparison of the four architectures. This repository is composed of five folders. Their content is explainded following: - AdditionalMetrics: It includes the raw data obtained from the 24 experiments that are not used for calculating the energy consumption but it was provided by the measurement tools. - BasalEnergyConsumption: It includes the raw data of the experiments launched to measure the basal consumption of the Smart Gateway. In addition, the excel file with the calculation of the Basal Energy Consumption is also provided. - DataSynthesis: The data analysis and synthesis from the results of energy consumption are included in this folder.  - EnergyMeasurementExperiments: It includes the raw energy consumption data obtained from the 24 experiments. - Figures: It includes the figures generated from the data obtained.

Supplementary Data Table for Bell, Isaac and Katz-Rosene, Ryan "The Contested Futures of Just Transition in Canada's Energy Sector"

This is the Supplementary Data Table for "The Contested Futures of Just Transition in Canada's Energy Sector," by Isaac Bell and Ryan Katz-Rosene, published in Studies In Political Economy.

Dataset for 'Mix and measure II – joint high-energy laboratory powder diffraction and microtomography for cement hydration studies'

Dataset for 'Mix and measure II – joint high-energy laboratory powder diffraction and microtomography for cement hydration studies'. Includes data for: calorimetry, PSD, thermal analysis, LXRPD and μCT.

opencc-by-4.0Jan 2024View details →

Dataset Klöckner_et_al 2024 paper (Understanding users of online energy efficiency counselling: Comparison to representative samples in Norway)

Open the record for dataset details and reuse information.

Energies, forces, and Born effective charges for water and MAPbI3 + Born effective charges and polarization data for a water dimer

Datasets containing energies, forces, and Born effective charges for water and MAPbI3 in the VASP format (ML_AB, OUTCAR, and POSCAR), polarization data and Born effective charges for a water dimer are also included. Energies and forces: H2O/MLFF/RPBE-D3/ML_AB – 64 water molecules,  654 configurations. H2O/MLFF/SCAN/ML_AB – 64 water molecules,  972 configurations. MAPbI3/MLFF/ML_AB – 8(MAPbI3),  1414 configurations, tetragonal and orthorhombic phase, SCAN. Born effective charges: dimer/BEC/ – 2 water molecules, 150 configurations. H2O/BEC/ – 64 water molecules,  100 configurations. MAPbI3/BEC/ – 8(MAPbI3),  300 configurations, tetragonal, orthorhombic, and cubic phase. Polarization: dimer/P/ – 2 water molecules, 1000 configurations. See preprint for more details:  <table> <tbody> <tr> <td><a href="https://doi.org/10.48550/arXiv.2404.19674">https://doi.org/10.48550/arXiv.2404.19674</a></td> </tr> </tbody> </table>

opengpl-3.0-or-laterJul 2024View details →

Artifacts to Reproduce "16 Years of SPEC Power: An Analysis of x86 Energy Efficiency Trends"

Dataset to reproduce the paper "16 Years of SPEC Power: An Analysis of x86 Energy Efficiency Trends". Contains raw & processed data, as well as scripts for data sourcing, extraction and processing, including figure generation. Please note that different licenses apply to different parts of the archive, as the included raw results from SPEC are subject to SPEC-defined rules. For additional information please refer to the readme.

opencc-by-4.0Feb 2024View details →

Control generation of eddy available potential energy

Open the record for dataset details and reuse information.

Data for "Elevated urban energy risks due to climate-driven biophysical feedbacks"

This dataset contains the global multi-model urban climate and energy projections from Li et al. (2024), "Elevated urban energy risks due to climate-driven biophysical feedbacks", published in Nature Climate Change. It contains global monthly mean projections of urban 2-meter air temperature, and urban cooling and heating energy fluxes derived from 25 Earth system models (ESMs) participating in the Coupled Model Intercomparison Project Phase 6 (CMIP6). Details about how this dataset was generated are described in the article. This dataset may be useful for multiple communities interested in future energy risks, climate change impacts and vulnerability, and climate-sensitive adaptation and energy planning. For more details, please refer to the README.md file included in the dataset.

Potenziale von Wasserkreisläufen zur gemeinschaftlichen und effizienten Energie- und Ressourcennutzung in nutzungsgemischten Baublöcken hoher Dichte (POWER) - digitaler Anhang: Handwerksliste und Berechnungen

Es handelt sich um einen digitalen Anhang (Excel-Datei) zum Endbericht zum BBSR-Forschungsprojekt "POWER - Potenziale von Wasserkreisläufen zur gemeinschaftlichen und effizienten Energie- und Ressourcennutzung in nutzungsgemischten Baublöcken hoher Dichte". Der Anhang besteht aus einer Excel-Datei, die eine Liste der untersuchten Handwerke sowie die Berechnungen für die beiden Fallstudien Kall und Düsseldorf-Glasmacherviertel (GMV) enthält.

opencc-by-4.0Aug 2023View details →

Dataset - Global site-specific health impacts of fossil energy, steel mills, oil refineries and cement plants

<div> <div> Climate change and particulate matter air pollution present major threats to human well-being by causing impacts on human health. Both are connected to key air pollutants such as carbon dioxide (CO2), primary fine particulate matter (PM2.5), sulfur dioxide (SO2), nitrogen oxides (NOx) and ammonia (NH3), which are primarily emitted from energy-intensive industrial sectors. We present the first study to consistently link a broad range of emission measurements for these substances with site-specific technical data, emission models, and atmospheric fate and effect models to quantify health impacts caused by nearly all global fossil power plants, steel mills, oil refineries and cement plants. The resulting health impact patterns differ substantially from far less detailed earlier studies due to the high resolution of included data, highlighting in particular the key role of emission abatement at individual coal-consuming industrial sites in densely populated areas of Asia (Northern and North-Eastern India, Java in Indonesia, Eastern China), Western Europe (Germany, Belgium, Netherlands) as well as in the US. Of greatest health concern are the high SO2 emissions in India, which stand out due to missing flue gas treatment and cause a particularly high share of local health impacts despite a limited number of emission sites. At the same time, the massive infrastructure and export capacity build-up in China in recent years is taking a substantial toll on regional and global health and requires more stringent regulation than in the rest of the world due to unfavorable environmental conditions and high population densities. The current phase-out of highly emitting industries in Europe is found not to have started with sites having the greatest health impacts. Our detailed site-specific emission and impact inventory is able to highlight more effective alternatives and to track future progress. </div> </div>

Source Data for Baldelli et al., Performance of single nanopore and multi-pore membranes for blue energy

HOW TO read and utilized all the files used to create Figure 2 of the manuscript. The files are divided in two folders:     - Charge: in the "Charge" folder, two files can be found: rt_2nm.log and rt_5nm.log.         In these files, 4 tables are reported. Each table represents the ionic currents         (I- and I+) versus the surface charge density, for a zero applied external voltage         and for different nanopore geometries.         In particular, in the rt_2nm.log file, the charge-current curves for the conical         and bullet-shaped nanopores with a tip radius (rt) of 2 nm are reported.         In rt_5nm.log, charge-current curve for all the geometries and for rt = 5 nm are reported.         In principle, these files can be used to evaluate the transference number t-, Eq.(1) and         then Eq.(3) and Eq.(4) of the manuscript it is possible to draw all the         panels in Fig.2 maintaining the error low.          To compute the total current, that is the osmotic current since no external voltage is         applied, sum the second and the third column with their sign.         In both the files: use the first table per conical nanopore performance; the second table         for BS2 nanopore performance; use the third table for BS4 nanopore performance;         use the fourth table for BS6 nanopore performance          - Voltage: the "Voltage" folder is divided in other two sub-folders rt_2nm and rt_5nm.         In this folder the complete I-V curvers for all the surface charge considered in the         manuscrip are reported.         In rt_2nm (rt_5nm) subfolder the I-V curves for the nanopores characterized         by a tip radius (rt) of 2 nm (5 nm) are reported.         In each sub-folder the I-V, one file for each surface charge considered can be found.         For instance, the file rt2nm_160mCm2.log contains the I-V curves for all the geometries         with a surface charge of 160 mC/m^2.         In the following, we explained how to obtain each panels of Fig.2 of the main manuscript.         Note that the second row of Fig.2 (panels b,d,f and h)         can be drawn in the same way of the first row (panels a,c,e and g), hence         in the following we explain only how to draw the first rows and the same approach         remains valid for the second one.         Let's start using files in the rt_2nm sub-folders.             - Panel (a): The osmotic current I_o, is the current for a zero applied             external voltage.             Therefore, this panel can be drawn using the first row of each column for all the files             in the sub-folder. Note that in the first row of a table the current for a zero voltage             is reported.             The second way to draw this panel is using the Charge/rt_2nm.log file.             In fact in this file the current for zero voltage and for all the charges is reported.             - Panel (c): The membrane potential E_m is the voltage measured across the membrane             at zero current condition. Therefore can be obtained through the I-V curve             observing at which voltage value the current curve intersects the voltage axis itself.             For those files that contain separate ionic and cationic currents, these should be             summed to obtain the total current I_tot. If the file only contains tables with a              voltage column and I_tot, then the second column can be used directly.             - Panel (e): The transference number t_- can be calculated using the Eq.(1).             For those files that contain separate ionic and cationic currents, t_- can be             calculated using the second (anionic current I-)             and third column (cationic current I+) (and Eq.(1)).              For those file that contain only I_tot, t- can be calculated by inverting Eq.(3)             (considering the activity coefficients equal to 1), having previously calculated             the membrane potential E_m (see the previous point).             - Panel (g): From the I-V curve, draw the P-V curve and then estimate the maximum power.             If the file contains the anionic and cationic current separately, sum these currents             to obtain I_tot and then using it to draw the P-V curve.             If only I_tot is reported, use it directly to plot the P-V curve.                  For the panels (b, d, f and h) use the same approach but working with the data reported         in the rt_5nm sub-folder.

Electronic Energy Singularities of Weakly H-bonded Ammonium Dimer

Background:  Following set of data has been provided as a proof of general hypothesis for weak H-bonded and also VDW dimers. The methods of quantum mechanics have been applied are Hartree-Fock, Møller-Plesset, Density Functional Theory with state-of-art quantum chemistry software.  And for this specific case results from NH3 dimer has been reported. [A]. The general hypothesis first proposed in a paper published online in 2020 and in archive in 2021 [1] with explicit mention of hypothesis that torsional electronic energy has singularities for weak H-Bonds contrast to force field results of energy continuum. [B]. This energy singularities are associated with quantum geometrical criticality of weak H-bonded or VDW dimers. Any QM energy computation method with reasonable basis set must reveal electronic energy singularities unlike smooth force field or molecular mechanics based dihedral energy continuum for weak H-bonded or VDW dimers.  Also for weak H-bonded atoms if separated by a distance beyond bond length; internal rotation must show energy singularities; or equivalently geometry must show criticality feature in all QM energy computations. [C]. These QM computational results cannot be explained by classical reasoning because of no stearic clashes among atoms;  molecular mechanics/force field  always predict finite energy beyond bond-length.  Hypothesis Tested:  All conformational geometry in weak H-bonded or VDW molecules cannot be allowed as per QM contrast to MM even though no stearic clashes of atoms do exist; bond-breaking involves two aspects: sudden jumps in energy <II> breaking of molecular geometry. The energy singularities results are indicative of geometry break-up or in other words bond breaking.  References:  [1]  Ali, M Rejwan and Mezei M. 2021. “Observation of Quantum Signature in Rivastigmine Chemical Bond Break-up and Quantum Energetics, Spectral Studies of Anti-Alzheimer Inhibitors.” Journal of Biomolecular Structure and Dynamics 39 (1): 118–28. https://doi.org/10.1080/07391102.2019.1708462. [2] Ali, Md R. 2022 “Quantum Signature of Anisotropic Singularities in Hydrogen Bond Breaking of Water Dimer” (12th Triennial Congress of the World Association of Theoretical and Computational Chemists (WATOC), Vancouver, Canada) [3] Ali, M Rejwan 2025, “Electronic Energy Singularities of Weakly H-bonded Ammonium Dimer"        Journal of Micromechanics and Molecular Physics   https://doi.org/10.1142/S2424913025500079 Preprint:  https://arxiv.org/abs/2504.17107  Description of Files:  File Folder Explanation: All the results have been obtained via SPARTAN-20 version software. Both MM and QM methods have been used to compute torsion angle based electronic energy of NH3 dimer. The files have corresponding extension name for methods used as also listed below:  NH3-dimer_MM:  1. MMFF 2. SYBYL  NH3-dimer_QM 1. HF/6-311G* 2. MP2/CC-PVDz 3. B3LYP/6-311G* (Both forward and reverse torsion electronic energy scan)

Statistical data - Assessing the State and Impact Towards Just Transition Process in the Energy Sector in North Macedonia

The dataset represents statistical data collected and interpreted by the authors in the framework of the research titled 'Assessing the State and Impact Towards Just Transition Process in the Energy Sector in North Macedonia'. The research was developed in the framework of the <a href="https://greenforcetwinning.net/">GreenFORCE</a> project and is available under Deliverables 4.5_1st Research Study Report; and 4.6_2nd Research Study Report.    The dataset contains tables and graphs that are employed within the research and may be accessed by the general public in compliance with the Creative Commons Attribution license. The datasheets include:  1- Primary energy production data 2005-2022  2- Energy balance 2018-2022 3- Electricity production by domestic producers 2017-2022 4- GDP by production approach 2017-2022 5- GDP components 2019-2021 6- BDP components 2019 7- GDP per capita 2015-2020 8- BDP per sector and region 2021 9- Employment per sector and regions 2017-2021 10- Population data 2021 11- Input-Output analysis data 12- Environmental Investment statistics 13- GHG emissions (+ projections) 2015-2025 14- Environmental taxation (2016-2021)

Screening of legal, strategic and regulatory framework for Energy Sector - North Macedonia

The dataset represents a screening of legal, strategic and regulatory framework for Energy Sector in North Macedonia. The screening contributes to the results of the research work ' Assessing the state and impact towards Just Transition process in the energy sector in North Macedonia – with territorial focus on the Southwest planning region', conducted by the authors. The research is designed in the framework of the <a href="https://greenforcetwinning.net/">GreenFORCE project</a>, and will be published as a project deliverable in D4.5_1st Research Study Report; and D4.6_2nd Research Study Report.

Smart Energy Systems: A Survey on Explainability

The dataset contains the responses from a survey titled "Smart Energy Systems: A Survey on Explainability," which was conducted among members of Austrian Energy Communities, specifically targeting the Renewable Energy Communities. The primary objective of the survey was to gather insights into user interactions with smart energy systems, focusing on their expectations, requirements, and the importance of explainability in these systems. Notably, the dataset is presented in German.

NCSR Renewable Energy Pilot Building Dataset

Sensor data and heat production data, from pilot building installation. Combined with external weather data. CVS format.

opencc-by-4.0Feb 2018View details →

Energy landscapes for the aggregation of A beta (17-42)

Data set for the paper "Energy landscapes for the aggregation of A beta (17-42)" in JACS, 2018 (doi:10.1021/jacs.7b12896)

opencc-by-4.0Mar 2018View details →

Data for "The influence of internal variability on Earth's energy balance framework and implications for estimating climate sensitivity"

This archive contains processed model output necessary for reproducing the figures in Dessler, Maurtisen, Stevens, ACP, 2018 historicalEnsemble.nc contains data from the 100-member MPI historical ensemble forcing_aed_ensemble.nc contains the forcing for the historical runs model0001.nc is the control run of the MPI model model0003.nc is an abrupt 4xCO2 run of the MPI model cmip5 contains data from individual CMIP5 models  the folder "fig 5" contains zonal average fields necessary for that figure