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Dataset results
38 results for “net zero”
UKRI Digital Research Infrastructure Mapping Survey Dataset (for Net Zero Scoping Project)
<p>This dataset was generated as an output for the DRI Mapping exercise carried out during the UKRI Net Zero Digital Research Infrastructure (DRI) Scoping Project undertaken from 2021-2023. The "README.md" provides more information about the dataset and how to use it.</p> <p>The report associated with this dataset is available at:</p> <p>https://doi.org/10.5281/zenodo.7805987</p>
Emissions gap NDC and net zero findings after COP27
<p>Analysis of the level and robustness of various government climate pledges, both 2030 NDCs and net zero goals. This repository contains the data required to run <a href="https://github.com/Rlamboll/Emissions_Gap">https://github.com/Rlamboll/Emissions_Gap</a>.</p> <p>"Analysis_update_12_14 (2).xlsx" contains the 2023 assessment of net zero pledges by governments in terms of both their quality and content. "Data_forextensions_PostCOP27_master.xlsx" contains the estimates of emissions until 2030 based on NDCs after COP27, "Data_forextensions_EGR2023_master.xlsx" contains the updated version for the paper "Credibility gap in net-zero climate targets leaves world at high risk".</p> <p>"2022_emission_gap_temp_summary_data.csv" is the output of the complete process. </p> <p>"kyoto_and_co2_emissions_summary_23.65.csv" is the Kyoto total and CO2 emissions for each scenario, "infilled_extended_and_infilled_unep_23.65.csv" is the complete set of emissions for each scenario. </p> <p>Versions 1.0.0 and 1.0.1 are identical in terms of processing, but more data is uploaded for 1.0.1 with scenarios with additional carbon price increase rates. Version 1.1.0 contains the Data_forextensions_EGR2023_master file. Version 1.2.0 contains a bugfix affecting net zero targets applied to the OECD+ regional emissions, and includes emissions data. </p> <p>Data and calculation are associated with the paper at DOI: 10.1126/science.adg6248</p>
JMIP 2 Net Zero CDR dataset
<p>Scenario data of Sugiyama, Fujimori, Wada, Kato, Matsuo, Nishiura, Oshiro, and Otsuki (2024, Environmental Research Communications) https://doi.org/10.1088/2515-7620/ad4af2 as part of the Japan model intercomparison project (JMIP 2) on long-term climate policy. For previous rounds, please visit https://github.com/UTokyo-mip/JMIP_dataset / https://zenodo.org/record/4817656</p>
Region-specific sourcing of lignocellulose residues as renewable feedstocks for a net-zero chemical industry
<p><span>data_1_lignocellulose_residue_grid_all_years_scenarios – datasets presenting the <em>theoretical</em>, <em>ecological</em>, and <em>available</em> potential of various lignocellulose residues on the GLOBIOM grid level (200 km </span><span>×</span><span> 200 km)</span></p> <p><span>data_2_lignocellulose_feedstock_potential_impacts_country_level_all_scenarios – datasets presenting the <em>theoretical</em>, <em>ecological</em>, and <em>available</em> potential of various lignocellulose residues on the country level and their corresponding climate-change impacts, water stress, and land-use-related biodiversity loss impacts</span></p> <p><span>LUID_CTY – shapefile for the global map with GLOBIOM grids</span></p> <p> </p>
Dataset and code: One-tenth of EU's biomethane potential combined with carbon capture and storage can shift the region's ammonia production to net-zero
<h2>Overview</h2> <p>Repository to share the data and code associated with the scientific article <strong>Istrate et al. One-tenth of EU’s biomethane potential combined with carbon capture and storage can shift the region’s ammonia production to net-zero. One Earth (2024)</strong>. The repository contains data files and code to import the life cycle inventories (LCIs), reproduce the results, and generate the figures presented in the article.</p> <div> <h2>Repository structure</h2> </div> <p>The data folder includes:</p> <ul> <li><code>inventories.xlsx</code> contains the LCI datasets for biomethane and ammonia production formatted for use with <a href="https://github.com/brightway-lca">Brightway</a>.</li> <li><code>sustainable_biomethane_potential_Europe.xlsx</code> contains data on the sustainable biomethane potential in Europe disaggregated by feedstock and country.</li> <li><code>ammonia_production_europe.xlsx</code> contains ammonia production levels in the EU in 2021.</li> <li><code>SA_methane leakage_for presample.xlsx</code> contains data to perform sensitivity analysis on the methane leakage with <a href="https://github.com/PascalLesage/presamples">presamples</a></li> <li><code>SA_upgrading technology_presamples.xlsx</code> contains data to perform sensitivity analysis on upgrading technologies with <a href="https://github.com/PascalLesage/presamples">presamples</a></li> <li><code>results</code> folder within data contains csv files with the results, which are used in <code>05_visualization.ipynb</code> for analysis and visualization purposes.</li> </ul> <p>The notebooks folder includes:</p> <ul> <li><code>01_project_setup.ipynb</code> sets up a new Brightway project and imports the ecoinvent database.</li> <li><code>02_lci.ipynb</code> imports the LCIs and regionalize some datasets (e.g., biomethane supply based on the bimethane potential).</li> <li><code>03_lcia.ipynb</code> calculates life cycle impacts and all the additional results presented in the paper (e.g., calculation of blending ratios).</li> <li><code>04_sensitivity_analysis.ipynb</code> performs the sensitivity analysis.</li> <li><code>05_visualization.ipynb</code> imports all results and generates the figures presented in the scientific article.</li> </ul> <p>The src folder contains supporting functions required to regionalize LCIs and perform the calculations.</p> <div> <h2>How to get propertary data</h2> </div> <p>Some of the LCI datasets in the <code>inventories.xlsx</code> file are partially based on data from the ecoinvent LCI database. To comply with licensing requirements, the file shared in this repository does not include these data points. If you hold a valid ecoinvent license, please contact me directly to receive the full input files containing all ecoinvent data points.</p> <h2>Contact</h2> <p>Robert Istrate: i.r.istrate@cml.leidenuniv.nl</p>
Meta-analysis on necessary investment shifts to reach net zero pathways in Europe
<p>This is the code and the data necessary to reproduce the six main figures and the t-test presented in the supplementary information of the publication "Meta-analysis on necessary investment shifts to reach net zero pathways in Europe". DOI: 10.1038/s41558-022-01549-5</p>
SM: Economy-wide impacts of socio-politically driven net-zero energy in Europe
<p><strong>Supplementary Material (SM): Economy-wide impacts of socio-politically driven net-zero energy in Europe</strong></p> <p>Two zipped folders</p> <p>(a) Euro-Calliope.zip includes</p> <p>-Energy system configurations by storyline (market-driven, government-directed, people-powered) and year (2030, 2050).</p> <p>(b) WEGDYN.zip includes</p> <p>-Supplementary Material (SM_Regionaleconomiceffects.pdf)<br>-Processed Euro-Calliope output data to WEGDYN input data (EC2WD_data.xlsx)<br>-WEGDYN results (WEGDYN_data.xlsx)<br>-WEGDYN resolution, nesting trees, elasticities (WEGDYN_model.xlsx)</p>
Retrofitting coal-fired power plants with biomass co-firing and CCS for net zero carbon emission: A plant-by-plant assessment based on GIS-LCA framework
<p>Dataset for "Retrofitting coal-fired power plants with biomass co-firing and CCS for net zero carbon emission: A plant-by-plant assessment based on GIS-LCA framework"</p>
Data for: Curbing global solid waste emissions toward net-zero warming futures
<p>No global analysis has considered the warming that could be averted through improved solid waste management and how much that could contribute to meeting the Paris Agreement's 1.5° and 2°C pathway goals or the terms of the Global Methane Pledge. With our estimated global solid waste generation of 2.56 to 3.33 billion tonnes by 2050, implementing abrupt technical and behavioral changes could result in a net-zero warming solid waste system relative to 2020, leading to 11 to 27 billion tonnes of carbon dioxide warming–equivalent emissions under the temperature limits. These changes, however, require accelerated adoption within 9 to 17 years (by 2033 to 2041) to align with the Global Methane Pledge. Rapidly reducing methane, carbon dioxide, and nitrous oxide emissions is necessary to maximize the short-term climate benefits and stop the ongoing temperature rise.</p>
National Net Zero (or adjacent) targets
<p>This dataset gives an overview of national net zero (or adjacent) targets. There is a specific focus on participation in global governance (e.g. specific check of submitted NDC's)</p> <p>The dataset provides the following data points: </p> <ul> <li>Name of the country (in full)</li> <li>Country ISO3 code</li> <li>End target description (e.g. Net zero, carbon neutral(ity), Ecosystem neutral, etc.</li> <li>End target year (e.g. net zero by 2050 > 2050)</li> <li>End target status: <ul> <li>Achieved (self-declared)</li> <li>In law</li> <li>In policy document (e.g. NDC or INDC, government plans, ...)</li> <li>Declaration / pledge (e.g. target announcement in a press release, ...)</li> <li>Proposed / in discussion (e.g. countries stating they are considering a target or a pledge with an alliance/initiative)</li> </ul> </li> <li>Date of the status (for legislation: the moment it takes into effect)</li> <li>Text of the target</li> <li>Notes on the target</li> <li>Source URL(s)</li> <li>Source of the data entry</li> <li>Year the entry relates to</li> </ul>
Dataset: Nuveen Global Net Zero Transition ETF (NTZG) Stock Performance
This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.
Net Zero Stocktake 2024
<p>The underlying dataset for the Net Zero Tracker's Net Zero Stocktake Report 2024.</p>
Net-zero CO2 emissions scenarios for Switzerland
<p>This dataset accompanies the relevant article in Communications Earth and Environment. It contains the key assumptions used in the energy system modelling with the Swiss TIMES energy systems model (STEM) for assessing net-zero carbon dioxide emissions scenarios for Switzerland. In addition, contains extensive results from STEM for each one of the core scenarios and variants assessed in the study. </p>
Interactive recommendations and action list for technical report from the UKRI Net Zero DRI Scoping Project
<p>The UKRI Net Zero DRI Scoping Project produced evidence-based recommendations. This dataset provides an interactive way to list all of the recommendations and actions from the project. These files have been provided to show the mapping and links between the specific recommendations and the different strategic themes and roadmap actions proposed by the project. </p> <p>Three file formats have been provided for ease of use: Excel, PDF, CSV. The recommendations, if opened in a spreadsheet, can be sorted or filtered based on a range of interest areas e.g. type of evidence, delivery pathway, strategic theme, delivery year. </p> <p>There are two tabs in the spreadsheet. The first tab shows the recommendations discussed in the 'toolkit' section of the project's final technical report. The second tab shows actions discussed in the 'roadmap' section of the report.</p> <p>For full details about the evidence that underpins these recommendations, please see technical report found here: <a href="https://doi.org/10.5281/zenodo.8199984">https://doi.org/10.5281/zenodo.8199984</a> </p> <p>The authors cited here are those who produced the files uploaded. Many other contributors are named in the technical report and is a synthesis of their work. Please also cite the technical report if you use this dataset. </p>
Data for: Curbing global solid waste emissions toward net-zero warming futures
Open the record for dataset details and reuse information.
Data from: Sectorial pathways to achieve net-zero and 1.5°C targets for Eu-27: Energy and emissions data to inform science-based decarbonization targets
Open the record for dataset details and reuse information.
PyPSA-PL: Net-zero 2050 scenario for Poland
<p>This record contains all the scripts and data from the PyPSA-PL modelling exercise that supported the report:</p> <ul> <li>Kubiczek, P., Smoleń, M. (2023). <em>Three challenging decades. Scenario for the Polish energy transition out to 2050.</em> Instrat Policy Paper 03/2024. <a href="https://www.instrat.pl/three-challenging-decades">https://www.instrat.pl/three-challenging-decades</a></li> </ul> <p>The record structure is based on the PyPSA-PL repository <a href="https://github.com/instrat-pl/pypsa-pl">https://github.com/instrat-pl/pypsa-pl</a> (v3.0).</p>
Supporting Information - Estimating thermal energy loads in remote and northern communities to facilitate a net-zero transition
<p>This file accompanies "A method for estimating thermal energy loads in Canada’s remote and northern communities" by Ian Maynard and Ahmed Abdulla.</p> <p>This supporting information contains:</p> <ul> <li>Calculations and thermal loads of 40 communities discussed in the above paper</li> <li>Heating Degree Hour (HDH) distribution calculations</li> <li>Diagnostics and dataset used for developing a model for predicting annual and monthly thermal loads using ordinary least squares regression</li> </ul>
Dataset used in publication titled " Dependence of climate and carbon cycle response in net zero emission pathways on the magnitude and duration of positive and negative emission pulses"
<p>Essential model data use to produce figures and tables for the publication titled " Dependence of climate and carbon cycle response in net zero emission pathways on the magnitude and duration of positive and negative emission pulses"</p>
ACCESS-ESM-1.5 net-zero emissions 1000-year long simulations: Seasonal temperature and precipitation gridded data with area-average timeseries of temperature, precipitation and sea ice data
<p>NetCDF files used in analysis shown in King et al. (2024) https://egusphere.copernicus.org/preprints/2024/egusphere-2023-2961/.</p> <p>Seasonal-average mapped 1.5 metre air temperature temperature data are in NetCDFs with "fld_s03i236" in their name. These files are for boreal summer "JJA" or boreal winter "DJF". The "B20__" represents the start year of the net-zero emissions simulation from which these data are drawn. These files each have 1000 time-steps and the data are in native resolution of ACCESS-ESM-1.5: 1.875 degrees longitude by 1.25 degrees latitude.</p> <p>Seasonally-averaged precipitation rate (kg/m2/s) data are in NetCDFs with "fld_s05i216" in their name. Seasons and simulation information follow the same format as the temperature files.</p> <p>The file "ts_gwl.nc" includes several timeseries used in the paper including global-average SST ("TEMP_SURFACE"), global mean ocean temperature ("TEMP_GLOBAL"), and March/September Arctic ("ICEN") and Antarctic ("ICES") sea ice extent.</p> <p>The scripts used to make the Figures are included and run using IDL version 9.0. </p> <p>For any advice on using these files please feel free to contact me: andrew.king@unimelb.edu.au.</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.