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12 results for “Bioeconomy”
Innovative forest products in the circular bioeconomy: online survey questionnaire and dataset
<p>This upload includes the dataset and questionnaire for an online survey with stakeholders, as part of a case study done for the BioMonitor project. The survey participants work in EU-based organizations involved in the development and manufacture of forest products, especially of the following categories: construction materials, textiles, chemicals, bioplastics, and wood-based composites.</p> <p> <br> <strong>About BioMonitor</strong><br> BioMonitor is an EU-funded project (biomonitor.eu) that aims to establish a sustainable and robust framework that different stakeholders can use to monitor and measure the bioeconomy and its various impacts in relation to the EU and its Member States. The BioMonitor consortium is composed of a team of universities, statistical and standardisation institutes as well as consultancies and data modelling experts.</p> <p><em>This work was supported by the BioMonitor project, which has received funding from the European Union’s Horizon 2020 Research and Innovation Programme under Grant Agreement N° 773297.</em></p>
Data Set for_Integrating torrefaction of pulp industry sludge with anaerobic digestion to produce biomethane and volatile fatty acids: An example of industrial symbiosis for circular bioeconomy
<p>Industrial symbiosis, which allows the sharing of resources between different industries, could help to improve the overall feasibility of bio-based chemicals production. In that regard, this study focused on integrating the torrefaction of pulp industry sludge with anaerobic digestion. More specifically, anaerobic digestion (AD) of pulp sludge-derived torrefaction condensate (TC) was studied to evaluate the biomethane and volatile fatty acid (VFA) potential. The torrefaction condensate produced at 275 and 300 °C was used in AD. The volatile solid content (VS) was 6.69 and 9.01% for the condensate produced at 275 and 300 °C, respectively. The organic fraction of TC mainly contained acetic acid, 2-furanmethanol, and syringol. The methane yield was in the range of 481–772 mL/g VS for the mesophilic and 401–746 mL/g VS for the thermophilic process, respectively. The VFA yield was in the range of 1.1 to 3.4 g/g VS for mesophilic and from 1.5 to 4.7 g/g VS in thermophilic conditions, when methanogenesis was inhibited. Finally, pulp sludge TC is a feasible feedstock to produce platform chemicals like VFA. However, at higher substrate loading, signs of process inhibition were observed because of the relatively increasing concentration of microbial inhibitors</p>
Source data to create the figures of the study "Rising greenhouse gas emissions embodied in the global bioeconomy supply chain" using REX3 with new GHG extension including LULUCF
<p>This repository contains the source data to create the figures of the study <a href="https://doi.org/10.1038/s43247-025-02144-0">Rising greenhouse gas emissions embodied in the global bioeconomy supply chain</a> published in <em>Communications Earth & Environment</em>. The results were calculated with the REX3 database in Version 3.2 of this repository and the GHG extension and matlab codes in Version 3.4 of this repository.</p> <p>Figure 1, and 3–5 were created in Rstudio with the attached Rcode <em>Bioeconomy_GHG_sankeys.R</em></p> <p>Figure 2 was created in tableau with an <a href="https://public.tableau.com/app/profile/livia.cabernard/vizzes">interactive data visualizer</a> that allows to zoom into the global bioeconomy supply chain.</p>
A controlled vocabulary for research and innovation in the field of Circular Bioeconomy
<p>We live in a world of limited resources. Facing global challenges such as climate change and degradation of natural capital, in addition to the increasing rate of resource consumption, we are compelled to look for new ways of producing and consuming that respect the ecological limits of our planet. A model based on the Circular Bioeconomy (<em>CBE</em>) is key to successfully tackling the complexity of this paradigm shift and addressing these challenges: CBE is a relatively new and fast evolving concept, which is still in the conceptualisation phase. It stems from the concepts of “<em>bioeconomy</em>” and “<em>circular economy</em>”, which have become progressively interlinked in recent years.</p> <p>Although the wider community of stakeholders has not reached yet a consensus on a single definition for CBE, we try to go beyond this limitation, by proposing a controlled vocabulary of keywords related to the field, built by eliciting domain knowledge from both experts and policy-makers. This effort responds to an explorative project launched by the Generalitat de Catalunya (the regional government of Catalonia, Spain - specifically, the Ministry of the Economy and Finance, Secretary for Economic Affairs and European Funds) in order to identify CBE research, development and innovation activities. The work, coordinated by SIRIS Academic, was carried out by consulting the advice of experts in the domain (see Acknowledgements, below), and it was ultimately applied to inform regional strategies on bioeconomy and the Research and Innovation Strategy for Smart Specialisation.</p> <p>After a qualitative analysis of numerous examples, the keywords extracted have been classified into three categories:</p> <ul> <li> <p><strong>Unequivocal</strong>: keywords positively associated with the CBE domain (e.g. <em>bioplastic conversion, biorefinery, or biomass</em>),</p> </li> <li> <p><strong>Bioeconomy</strong>: keywords in the bioeconomy domain but not necessarily within the circular paradigm (e.g. <em>agriculture, algae, or organic waste</em>),</p> </li> <li> <p><strong>Technologies and processes</strong>: keywords concerning circular processes and technologies (e.g. <em>valorisation, or bioconversion</em>).</p> </li> </ul> <p>This distinction allows one to apply the vocabulary to link a given text to the CBE domain. Indeed, a text may be considered in the CBE perimeter if it mentions an unequivocal keyword, or if it contains a concept concerning bioeconomy co-appearing with a concept concerning circular technologies and processes (e.g. food waste with composting, or vegetation with biosynthesis).</p> <p>The circular bioeconomy vocabulary, in its current form, contains 393 keywords (49 unequivocal keywords, 229 bioeconomy keywords, and 115 concerning circular processes and technologies). <br> </p> <p><strong>Datasets Provided</strong></p> <p><br> In this publication, we provide:</p> <p> </p> <ul> <li><strong>A document outlining the context that lead to the creation of the vocabulary</strong>, the methodology used to build it and the strategy to apply it</li> <li><strong>The full vocabulary of terms as a csv file</strong>. For each keyword of the vocabulary, the property “type” specifies whether the term is either an “Unequivocal” CBE keyword, a wider “Bioeconomy” term or a specification of “Technologies and processes”.</li> <li>In addition to the controlled vocabulary, we also provide <strong>a labelled dataset to foster the development of new text mining initiatives</strong> on the results obtained. The dataset consists of the description of 2000 R&D projects funded by the Horizon 2020 framework of the European Commission. Of these, 1000 have been associated with the field of CBE via the vocabulary and further manual validation, while further 1000 descriptions are unrelated to CBE. Each project entry has the following attributes: title, abstract, ecRef (project identifier in the EU information service, CORDIS), and label (where True are projects in the CBE domain)</li> </ul> <p><strong>Acknowledgements</strong></p> <p>The work described above, leading to the production of the datasets provided, was developed in collaboration with Generalitat de Catalunya officials, as well as CBE research and innovation experts and stakeholders that contributed essential input to the conceptual definition of the CBE, the review and improvement of the controlled vocabulary and the quality of the classification, as well as the the revision of the analytical results described in the section Applicability, in particular:</p> <ul> <li> <p>Tatiana Fernández (Direcció General de Promoció Econòmica, Competència i Regulació, de la Generalitat de Catalunya)</p> </li> <li> <p>Mercè Balcells i Ramón Canela (Universitat de Lleida)</p> </li> <li> <p>Teresa Botargues (Diputació de Lleida)</p> </li> <li> <p>Sergio Ponsà (Centre Tecnològic BETA)</p> </li> <li> <p>Ignacio Rodríguez and Jaume Sió (Departament d’Agricultura, Ramaderia, Pesca i Alimentació, de la Generalitat de Catalunya)</p> </li> </ul>
Innovative forest products in the circular bioeconomy: questionnaire for semi-structured interview
<p>This upload includes the questionnaire for semi-structured interviews with stakeholders, as part of a case study done for the BioMonitor project. The data collected during the interviews are not publicly available as the dataset contains sensitive information of the organizations involved in the study.<br> The interview participants work in EU-based organizations involved in the development and manufacture of forest products, especially of the following categories: construction materials, textiles, chemicals, bioplastics, and wood-based composites.</p> <p> <br> <strong>About BioMonitor</strong><br> BioMonitor is an EU-funded project (biomonitor.eu) that aims to establish a sustainable and robust framework that different stakeholders can use to monitor and measure the bioeconomy and its various impacts in relation to the EU and its Member States. The BioMonitor consortium is composed of a team of universities, statistical and standardisation institutes as well as consultancies and data modelling experts.</p> <p><em>This work was supported by the BioMonitor project, which has received funding from the European Union’s Horizon 2020 Research and Innovation Programme under Grant Agreement N° 773297.</em></p>
Data from: More future synergies and less trade‐offs between forest ecosystem services with natural climate solutions instead of bioeconomy solutions
<p>To reach the Paris Agreement, societies need to increase the global terrestrial carbon sink. There are many climate change mitigation solutions (CCMS) for forests, including increasing bioenergy, bioeconomy and protection. Bioenergy and bioeconomy solutions use climate-smart, intensive management to generate high quantities of bioenergy and bioproducts. Protection of (semi-)natural forests is a major component of 'natural climate solution' (NCS) since forests store carbon in standing biomass and soil. Furthermore, protected forests provide more habitat for biodiversity and non-wood ecosystem services (ES). We investigated the impacts of different CCMS and climate scenarios, jointly or in isolation, on future wood ES, non-wood ES, and regulating ES for a major wood provider for the international market. Specifically, we projected future ES given by three CCMS scenarios for Sweden 2020-2100. In the long term, fulfilling the increasing wood demand through bioenergy and bioeconomy solutions will decrease ES multifunctionality, but the increased stand age and wood stocks induced by rising greenhouse gas (GHG) concentrations will partially offset these negative effects. Adopting bioenergy and bioeconomy solutions will have a greater negative impact on ES supply than adopting NCS. Bioenergy or bioeconomy solutions, as well as increasing GHG emissions, will reduce synergies and increase trade-offs in ES. NCS, by contrast, increases the supply of multiple ES in synergy, even transforming current ES trade-offs into future synergies. Moreover, NCS can be considered an adaptation measure to offset negative climate change effects on the future supplies of non-wood ES. In boreal countries around the world, forestry strategies that integrate NCS more deeply are crucial to ensure a synergistic supply of multiple ES.</p>
Real-Time Delphi data: How to identify and interpret weak signals of change in the forest bioeconomy
<p>Data from: Mauno, T., Catelo, F., Bengston, D.N., Pykäläinen, J. & Hujala, T. 2023. How to identify and interpret weak signals of change in the forest bioeconomy. Forest Policy and Economics. <a href="https://doi.org/10.1016/j.forpol.2023.103075?_gl=1*a2eeob*_ga*NDE0MDgzOTYwLjE2OTY0ODY2MTY.*_ga_NY8L5SJPMB*MTY5NjQ5NDIxNi4yLjEuMTY5NjUwMTI0Mi4wLjAuMA..">https://doi.org/10.1016/j.forpol.2023.103075</a></p> <p>This exploratory study sought to understand how to identify and interpret weak signals of change that may have an impact on the forest bioeconomy. An international panel of experts in the forest bioeconomy and in foresight provided their views through a two-stage Real-Time Delphi method which utilized the multiple rounds of traditional Delphi and the instantaneous feedback of the Real-Time Delphi method.</p> <p>The Real-Time Delphi exercise was conducted in two stages through the eDelphi software (edelphi.org); the first stage was focused on <em>Changes</em> and the second on <em>Weak Signals</em>. For the Real-Time Delphi exercise, two expert matrices (forest bioeconomy matrix and futures & foresight matrix) were prepared with the aim of obtaining diverse expertise to participate in the study.</p> <p>The first stage was conducted during a 10-day period in early September 2022 (Sep 5, 2022 – Sep 14, 2022). The second stage was also conducted during a 10-day period later in September 2022 (Sep 21, 2022 – Sep 30, 2022). A total of 11 (6 forest bioeconomy experts and 5 futures research and foresight specialists) participated in both eDelphi stages.</p> <p>This dataset includes: (i) completed Real-Time Delphi stages (including anonymized answers and discussions of 11 participants) (ii) questions for both Real-Time Delphi stages, and (iii) anonymized expert matrices (forest bioeconomy matrix and futures & foresight matrix)</p> <p>For more information, please contact the corresponding author (data controller): Tuomas Mauno (University of Eastern Finland), tuomas.mauno@uef.fi</p>
Data from: More future synergies and less trade‐offs between forest ecosystem services with natural climate solutions instead of bioeconomy solutions
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Quantitative and qualitative methods complementing: Bridging modelling and policy-making efforts to realise the European bioeconomy
<p>The European Bioeconomy Strategy aims to facilitate the transition from a take-make-dispose fossil economy into one fostering circular bio-based value chains linking sustainable land use with cutting-edge products. Optimised designs, implementation and monitoring rely on continuous interactions between policymakers and modellers who run multiple scenarios for environmentally, economically and socially desirable futures. "Bridging modelling and policy-making efforts to realise the European bioeconomy" leverages a multi-layered framework that cross-references 39 policies and 32 models to assess how they address the five principle objectives of the Bioeconomy Strategy in terms of accompanying sectors, value-chains, and multi-dimensional indicators. The framework identifies gaps in bioeconomy knowledge both in policy and modelling. The analysis stemming from this framework matching policies and models based on their scope and aim, and reviewing how each addresses bioeconomy objectives, sectors, value chain stages and indicators, was built using mixed methods. The files complement the Supplementary Files of "Bridging modelling and policy-making efforts to realise the European bioeconomy" to produce a comprehensive compendium of the key findings extracted from the main publication. </p>
Blue consequences of the green bioeconomy: clear-cutting intensifies the harmful impacts of land drainage on stream invertebrate biodiversity
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Quantitative and qualitative methods complementing: Bridging modelling and policy-making efforts to realise the European bioeconomy
Open the record for dataset details and reuse information.
Bioeconomy policy and monitoring inventories (DBFZ)
<p>STAR-ProBio_CertificationCriteria_v1.0 _Spreadsheet.xlsx is the tool for the analysis of the indicators and criteria used by existing international, European and national sustainability schemes for biomass and bioenergy</p> <p>STAR-ProBio_T9.1BEPoliciesMatrix_v1.0_Spreadsheet.xlsx is the inventory of ~50 BIO-BASED ECONOMY policy documents including a brief characterisation and analysis regarding their potential impact on sustainability assessment activities</p> <p>STAR-ProBio_T9.4BEMonitoringActivities_1.0_Spreadsheet.xlsx is the matrix with a description of BIO-BASED ECONOMY monitoring activities (with both, public and private activities) from EU and EU member states. The overview includes a brief characterisation of the activities, describing the type of data reported, reporting formats and periods, etc.</p>
ScienceDex guides
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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.