Find research datasets worth reusing
Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
18
datasets available to search
ShareScore release 0.9.0
Dataset results
18 results for “energy policy”
Inventory of Policy Interventions related to Energy and Transport Behaviours
<p>User behaviour is a complex issue, as it is influenced by a multitude of factors from economic status, age, education, political environment etc. The WHY project aims to identify the possible user reactions and their effect on the energy consumption due to external stimuli. In context of the WHY project these external stimuli are called “interventions”. In this chapter different approaches for policy driven interventions are discussed and presented. </p>
Annual Conference in Global Energy Transition Law and Policy
<p>The Environment Energy and Natural Resources (EENR) Center in association with the Center for U.S. and Mexican Law of University of Houston Law Center will be hosting a virtual symposium on Friday, April 17<sup>th</sup>, 2020, 9:00 a.m.- 12:30 p.m. (CDT), by way of our 1st Annual Conference in Global Energy Transition Law and Policy.</p> <p><strong>Topic</strong>: <strong>THE ENERGY TRANSITION IN A CLIMATE CONSTRAINED WORLD. AN INTEGRATIVE APPROACH IN GLOBAL ENERGY LAW AND POLICY ISSUES?</strong></p> <p><strong>Date</strong>: Friday, April 17<sup>th</sup>, 2020, from 9:00 to a.m.-12:30 p.m. (CDT)</p> <p>The conference, which is designed for all (policy-makers, researchers, professionals, students, etc.), will feature an outstanding faculty roster who will address the current energy transition issues.</p> <p><strong>Highlights</strong>:</p> <p>· Recent Developments in Energy Transition Law and Policy;</p> <p>· Energy Policy in Citizens’ Climate Assemblies;</p> <p>· Energy Communities in the European Union;</p> <p>· Europeanisation of the Development of Renewable Energy in Transition;</p> <p>· Finance and Risk Policy for The Just Transition to a Low-Carbon Economy;</p> <p>· A Sustainable and Prosperous Future: The Role of Climate Clubs and International Trade;</p> <p>· Decarbonization Options for Gas and Electricity Systems: Power-to-Gas and Carbon Capture Utilization and Storage;</p> <p>· Incorporation of DMDU decision-making under deep uncertainty) Framework into Energy Policy;</p> <p>· COVID-19 provides Warning about the Transition from Fossil Fuels. </p>
Energy Sufficiency Policy Database
<p>This folder contains the policy database belonging to the publication <strong>"Building a Database for Energy Sufficiency Policies"</strong> (<a href="https://doi.org/10.12688/f1000research.108822.2">https://doi.org/10.12688/f1000research.108822.2</a>).</p> <p><span>Version 1.1 of the database is replacing version 1.0 from January 2023 of the sufficiency policy database. We made the following changes and revisions:</span></p> <ul> <li><span>> 70 new policies added</span></li> <li><span>New literature added</span></li> <li><span>One Double ID deleted, two IDs merged</span></li> <li><span>New policy strategies added, others renamed</span></li> </ul> <p><strong>Acknowledgements:</strong></p> <p>The database is funded by the Federal Ministry of Education and Research (BMBF) as part of the project “EnSu - Energy Sufficiency in Energy Transition and Society” (https://energysufficiency.de/) within the framework of the Strategy „Research for Sustainability" (FONA) (http://www.fona.de/en) as part of its Social-Ecological Research funding priority, funding nos. [01UU2004A, 01UU2004B, 01UU2004C]. Responsibility for the content of this publication lies with the authors.</p>
Data and code: Climate policy accelerates structural changes in energy employment
<p>The file contains code to create the figures used in main text and supplementary information of the paper <strong>Climate policy accelerates structural changes in energy employment</strong>.</p> <p>To run the RMD file and see the resulting figures, press Knit on R studio (requires the package knitr), or else see the attached HTML file, already created through such a process.</p>
Survey questionnaire and results on Structural Barriers to Investment in Energy Efficiency Policies in the Private Rented Sector
<p>The online survey was designed and conducted in the framework of the EU H2020 project ENPOR ("Actions to Mitigate Energy Poverty in the Private Rented Sector). The aim of the survey was to receive statistically sound insights on structural factors that affect the implementation of energy efficiency policies for the alleviation of energy poverty in the European Private Rented Sector. We developed it as an explorative, semi-quantitative, self-completion online questionnaire, using the online tool “EUSurvey”. We performed the online survey among different stakeholders from academia, policy, NGO’s, landlords and tenant associations, etc.</p>
"Demand-side policies for power generation in response to the energy crisis: A model analysis for Italy", scripts and data
<p>This repository contains the data, scripts and results for the paper "Demand-side policies for power generation in response to the energy crisis: A model analysis for Italy", https://doi.org/10.1016/j.esr.2024.101329.</p> <p>Results in the paper are divided into three sections, corresponding to the numbers of the folders inside this dataset. They are described as follows:</p> <p>1 - EU policy impact: What is the impact on the Italian electricity of the european proposal of cutting power demand and shifting it during peak hours on gas consumption, system costs and emissions?</p> <p>2 - Gas cost sensitivity: Which would be Italy’s most convenient power system considering different gas prices?</p> <p>3 - DSM in mitigation: What could be the role of demand side measures in power systems with a high penetration of RES?</p>
Participant observation data from local, storytelling, multi-stakeholder energy policy workshops
<p>The SHAPE ENERGY (EU Horizon 2020) undertook 17 multi-stakeholder energy policy workshops over November 2017 – May 2018. These workshops were mostly in partnership with municipalities who posed local energy problems that needed to be ‘solved’. The workshops brought local stakeholders together through storytelling facilitation techniques. The included data herein are anonymised components of the completed participant observation templates that partners used at these workshops. In particular, the data predominately relates to the conversational exchanges in one very closely monitored session across all the workshops.</p>
Norway energy policy optimization results
<p>These files contain the raw results from master thesis on Norwegian energy policy directions. The each folder has a html file (with basic plots), a netcdf file and a series of csv files. The four scenarios uploaded are the unconstrained (model is free to install capacity as it wants) and base case (current norwegian policy direction), for both a beyond 2030 and beyond 2050 timeline. These results are part of a Master thesis work. Additional results related to transmission and onshore wind policy available upon request to h.guddingsmo@outlook.com.</p>
Data from: The impacts of climate change, energy policy, and traditional ecological practices on future firewood availability for Diné (Navajo) People
<p>These data are part of a data portal that accompanies the special issue 'Climate change adaptation needs a science of culture,' published in Philosophical Transactions of the Royal Society B in 2023. To access the data portal, please visit <a href="https://doi.org/10.5061/dryad.bnzs7h4h4"><strong>https://doi.org/10.5061/dryad.bnzs7h4h4</strong></a>.</p> <p>The files consist of the code of an agent-based model (ABM) in a NetLogo, detailed documentation of the ABM in a standard format, and a table of data exported from the simulation experiment reported on in the paper. By downloading the Netlogo file, one could not only rerun the experiment we report on and recreate the data table but toggle parameters or edit the model to explore other dynamics.</p>
Data from: The impacts of climate change, energy policy, and traditional ecological practices on future firewood availability for Diné (Navajo) People
Open the record for dataset details and reuse information.
Supporting Data and Guidance: Modeling policy pathways to maximize renewable energy growth and investment in Democratic Republic of the Congo using OSeMOSYS
<p>This repository contains data files and guidance documents that are supplementary materials to accompany the policy paper "Modeling policy pathways to maximize renewable energy growth and investment in Democratic Republic of the Congo using OSeMOSYS" available on Research Square here: <a href="https://www.researchsquare.com/article/rs-2702275/v1">https://www.researchsquare.com/article/rs-2702275/v1</a></p>
Deep decarbonisation pathways of the energy system in times of unprecedented uncertainty in the energy sector. Energy Policy (2023). Supplementary Information on Assumptions and Results
<p>This dataset supplements the article with the title "Deep decarbonisation pathways of the energy system in times of unprecedented uncertainty in the energy sector", published in Energy Policy. </p> <p>The dataset contains the following:</p> <ul> <li>The Latin Hypercube Sample of the multipliers that are applied to the key input parameters of ETSAP-TIAM in order to generate 1000 different states of the world regarding economic and demographic growth, energy resources potentials, energy technology costs, climate sensitivity and radiative forcing, LULUCF CO<sub>2</sub> sink potential, CO<sub>2</sub> sequestration potential, and decoupling between energy consumption and economic development. The multipliers are sampled from the underlying probability distributions described in the article. </li> <li>The results (at the global scale) from four scenario families for each one of the 1000 wofld states. These scenario families are: <ul> <li>BASE_SSP2: Describes the development of the global energy system consistent with recent trends and policies.</li> <li>2C_SSP2: Introduces to the BASE_SSP2 scenario a global constraint of 2 °C as the maximum post-industrial temperature change from 2020 to 2100.</li> <li>2C_SSP2_DA30: Delayed climate action. The climate change mitigation policies of 2C_SSP2 start in 2030. </li> <li>1p5c_OS_SSP2: Introduces to the BASE_SSP2 scenario a global constraint of 1.5 °C as the maximum post-industrial temperature change from 2020 onwards to 2100</li> </ul> </li> </ul> <p>Key results included in the dataset are: Temperature change, Radiative Forcing, GHG concentrations, CO2 emissions, Marginal abatement cost, Electricity Supply Primary Energy Consumption, and Annual Total Global Energy System Cost.</p> <p>The dataset also includes sectoral results regarding energy consumption and use, such as shares of different electric uses, shares of hydrogen consumption in end-use sectors, hydrogen supply, Demand electrification by sector, Renewable energy consumption by sector, Alternative fuels consumption in transport, and Total final energy consumption by sector. </p>
United States-Physical Education and Physical Activity Policy Energy Expenditure Calculations by State (K-12)
<p>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.</p>
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
<p>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.</p>
Climate change and energy policy control the future of Myanmar's rivers
<p>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. </p>
Code and data used in "Health co-benefits of sub-national renewable energy policy in the US"
<p>Archive of modeling, inputs, and results.</p>
Data for Assessing the renewable energy policy paradox: a scenario analysis for the Italian electricity market
<p>This page contains the datasets and codes used to generate the figures for the article Assessing the renewable energy policy paradox: a scenario analysis for the Italian electricity market.</p> <p>Below you will find two datasets (.dta) and four codes (.do) files. Please note that the .do files contain the original paths to where the datasets were saved, you should change them to where they are saved in your computer. </p> <ol> <li>The file <em>clustering_prer_ok.do</em> uses dataset <em>yearlyvars_raw.dta</em> to generate three additional datasets <em>clusters.dta</em>, <em>yearly_scenarios.dta</em> and <em>xwalk.dta</em> <ul> <li><em>clusters.dta</em> is used in <em>Figs_2-5-6_ok.do</em></li> <li><em>yearly_scenarios.dta</em> is used in <em>Figs_3_ok.do</em></li> </ul> </li> <li>Dataset <em>hprice_raw.dta</em> is used together with the generated <em>xwalk.dta</em> in <em>Fig_4_ok.do</em>.</li> </ol>
REPEAT Project Section-by-Section Summary of Energy and Climate Policies in the 117th Congress
<p>This public spreadsheet provides a section-by-section summary of climate and energy policy measures contained in major legislation introduced and/or enacted in the 117th United States Congress (sitting January 2021-January 2023)<br> <br> In separate worksheets, the following pieces of legislation are summarized: <br> 1. The Infrastructure Investment and Jobs Act of 2021, H.R. 3684, as passed by Senate 8/10/21 (aka the Bipartisan Infrastructure Law)<br> 2. The first full draft of the House Build Back Better Act of 2021, H.R. 5376, as referred to House Budget Committee, 9/25/21<br> 3. The Infrastructure Investment and Jobs Act of 2021, H.R. 3684, as passed by the House and sent to President Biden on 11/6/21 (aka the Bipartisan Infrastructure Law)<br> 4. The House-passed Build Back Better Act of 2021, H.R. 5376, Managers Amendment to Rules Committee, 11/3/21 (R.C.P. 117-18), as passed by the House on 11/19/21<br> 5. The Inflation Reduction Act of 2022, H.R. 5376, as introduced 7/27/22 and passed by the House and Senate in August 2022</p> <p>The spreadsheets also contain documentation of how policies are modeled or considered in <a href="http://repeatproject.org">REPEAT Project's analysis</a> of each federal legislation.<br> <br> The sheets for each version of the Build Back Better Act and Inflation Reduction Act also attempts to track how each policy changed (or was removed) during the evolution of the FY2022 budget reconciliation bill (H.R. 5376).</p> <p>Caveat emptor: all summaries are compiled by the authors and may contain errors; it is the responsibility of readers/users to verify the accuracy of summaries.<br> <br> This most recently updated live version of this dataset can always be accessed via Google Sheets at <a href="http://bit.ly/REPEAT-Policies">http://bit.ly/REPEAT-Policies</a></p>
ScienceDex guides
Understand access before you commit
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.