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3 results for “Climate innovation”
Dataset on involved actors and their roles in the governance of innovative contracts for agri-environmental and climate schemes
<p>In the presented dataset we have analyzed 19 innovative contracts for agri-environmental and climate schemes from six European countries. The selected contracts represent examples of four different contract types: result-based, collective, land tenure, and value chain contracts.</p> <p>For the analysis we used a three step approach:</p> <p>Step 1: We employed a method mix combining literature review, web search, and expert consultation to identify potential case examples for the innovative contracts, resulting in a final sample of four to five contracts per contract types including contracts from Belgium, France, Germany, Ireland, the Netherlands, and the United Kingdom.</p> <p>Step 2: We designed a survey structured in accordance with Elinor Ostrom’s institutional analysis and development (IAD) framework to collect detailed information on overall 34 variables for each contract, yielding a data matrix with 646 data points.</p> <p>Step 3: We conducted an in-depth analysis for each contract on the involved actors and their roles in contract governance roles, generating a detailed inventory of 179 identified actors where each actor was assigned one or several out of 16 possible governance roles, creating a data matrix of 2,864 data points.</p> <p>The dataset generated through these three steps contains 84 data files, including tables, figures, maps, and one text file.</p> <p>The dataset can be re-used by all interested in the institutional and governance analysis of innovative contracts for agri-environmental and climate schemes.</p> <p>The dataset is linked to Work package 2 (WP2), Task 2.2 (T2.2), and Deliverable 2.2 (D2.2) of the research and innovation action ‘Contracts2.0’ (<a href="https://www.project-contracts20.eu/">https://www.project-contracts20.eu/</a>) funded under grant agreement no. 818190 through the European Union’s Horizon 2020 program.</p> <p>This dataset contains the information required to reproduce the results presented in the following research paper: Sattler, C., Barghusen, R., Bredemeier, B., Dutilly, C., Prager, K. (2023). Institutional analysis of actors involved in the governance of innovative contracts for agri-environmental and climate schemes. Global Environmental Change 80:102668. <a href="https://doi.org/10.1016/j.gloenvcha.2023.102668">https://doi.org/10.1016/j.gloenvcha.2023.102668</a></p> <p>The dataset has been compiled to the best of our knowledge based on the sources available to us.</p>
Data output for: Climate change stimulated agricultural innovation and exchange across Asia, in review.
<p>The GitHub repository for this project does not contain the output<br> generated by the script—3.2 GB of compressed data. All output data is<br> available as this Zenodo archive.</p> <p>The `vignettes/` directory contains all data generated by the<br> `guedesbocinsky2018.Rmd` RMarkdown vignette:</p> <p> - `data/raw_data` contains data downloaded from web sources for this<br> analysis<br> - `data/derived_data/` contains tables of the raw site chronometric<br> data without locational information, and the modeled chronometric<br> probability and niche information for each site.<br> - `data/derived_data/models/` contains R data objects describing the<br> Kriging interpolation models across the study area<br> - `data/derived_data/recons/` contains NetCDF format raster bricks of<br> the model output (i.e., the reconstructed crop niches)<br> - `figures/` contains all figures output by the script, including<br> videos of how each crop niche changes over time<br> - `figures/site_densities/` contains figures of the estimated<br> chronometric probability density for each site in our database<br> - `submission/` contains all of the figures, tables, movies, and<br> supplemental datasets included with d’Alpoim Guedes and Bocinsky<br> (2018)</p>
Supporting Data for "Innovative reforestation mosaics on marginal land in the globally important Mata Atlântica biome can create climate and economic co-benefits"
<p>This data is related to the article "Innovative reforestation mosaics on marginal land in the globally important Mata Atlântica biome can create climate and economic co-benefits."</p>
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International Brain Laboratory public data
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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.