Find research datasets worth reusing

opencc-by-4.0Jun 2022View details →

Mongird et al. (2022), interconnection vulnerability, water, and energy interdependency data

Data files supporting Mongird et al. (2022).

opencc-by-4.0Sep 2022View details →

Source Data for Direct observations of energy transfer from resonant electrons to whistler-mode waves in magnetosheath of Earth

Source Data files for figures and Supplementary figures in the manuscript "Direct observations of energy transfer from resonant electrons to whistler-mode waves in magnetosheath of Earth". Source_Data.zip includes data files (.txt or .xlsx) for each panel in the figures. tplot_save_files_w_load_procedures_for_time_series_plots.zip includes, tplot save files (.tplot) of time series plot figures and procedures to load and plot the tplot save files with SPEDAS (bleeding edge >r31062).

opencc-by-4.0Sep 2022View details →

Data set containing the energy landscapes for GPO and GPP tropocollagen models under pulling forces

Energy landscapes (databases of minima and transition states) for GPO and GPP repeat collagen models under constant pulling forces as explored with OPTIM and PATHSAMPLE with an AMBER force field. The systems are seven GPO or GPP per chain capped with ACE and NME.  The forces applied are 0 pN (F0), 10 pN (F1), 50 pN (F2), 100 pN (F3), 250 pN (F4), 500 pN (F5) and 750 pN (F6). The folders contains numerous analysis scripts and graphs. Most of these assume python with numpy and pandas, as well as cpptraj from AMBERTools.

opencc-by-4.0Sep 2022View details →

Data set for energy landscapes for interrupted sequences

Databases of minima and transition states produced with PATHSAMPLE for interrupted tropocollagen segments. The two databases are for a GPO and a  GPP repeat model (7 repeats per chain, with ACE and NME caps). One strand contains a deletion of the form GPO-GP-GPO and GPP-GP-GPP.

opencc-by-4.0Oct 2017View details →

Data Energi Provinsi Lampung

Data mengenai kondisi Sosial, Ekonomi, Demografi, dan Energi Provinsi Lampung

opencc-by-4.0Aug 2023View details →

Model data for " Topography Influence on Changes in Spatial Distribution of Eddy Kinetic Energy in the Southern Ocean"

This dataset is for the paper " Topography influence on Changes in Spatial Distribution of Eddy Kinetic Energy in the Southern Ocean"

opencc-by-4.0May 2024View details →

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

Open the record for dataset details and reuse information.

opencc-by-4.0May 2024View details →

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.

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)

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.

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>

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.

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.

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)

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