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13 results for “co-production”

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edi52/100

Data for: Techno-economic and environmental assessment of converting mixed prairie to renewable natural gas with co-product hydroxycinnamic acid, Iowa, USA, 2022-2023.

This dataset compiles model outputs, parameter sets, and documentation supporting a techno‑economic analysis (TEA) and life‑cycle assessment (LCA) of co‑digesting beef cattle manure with pretreated mixed prairie biomass to produce renewable natural gas (RNG), with hydroxycinnamic acids (HCA) and digestate‑derived biochar co‑products. It accompanies the study by Katherine Wild, Elmin Rahic, Lisa A Schulte Moore, and Mark Mba Wright "Techno-economic and environmental assessment of converting mixed prairie to renewable natural gas with co-product hydroxycinnamic acid," in Biofuels, Bioproducts, & Biorefining, 2024 (https://doi.org/10.1002/bbb.2710). The integrated simulation and assessment framework quantifies process performance, economics, and greenhouse‑gas intensity across five scenarios representing combinations of alkaline‑ethanol pretreatment for HCA extraction, liquid recirculation fractions, and biochar addition. This data collection includes: stream‑level mass flow/composition tables for each scenario; RNG, biochar, and HCA annual production summaries; literature‑based methane/biogas yield benchmarks; equipment‑level capital costs; TEA assumptions; emission‑factor inventories and displacement credits; and full sensitivity/uncertainty matrices for MFSP and GWP.

openCC (other)Sep 2025View details →
zenodo40/100

Master database for publication "Stakeholder engagement and knowledge co-production for better watershed management with the Freshwater Health Index"

<p>&nbsp;</p> <p>The spreadsheet is the master database used for the research with the title of &quot;Stakeholder engagement and knowledge co-production for better watershed management with the Freshwater Health Index&quot; to be published on&nbsp;<em>Current Research in Environmental Sustainability</em> in late 2022.</p> <p>The data include narratives for six principles on stakeholder engagement and knowledge co-production. These principles were derived by combining&nbsp;Talley et al&rsquo;s&nbsp;five principles for effective stakeholder engagement (Talley et al. 2016) with Norstr&ouml;m et al&rsquo;s&nbsp;four&nbsp;principles for knowledge co-production (Norstr&ouml;m et al. 2020). The six principles were&nbsp;aligned with the components of the freshwater health index (FHI) framework. Project leaders from&nbsp;nine FHI case studies&nbsp;completed a text table based on the description of the six principles and their FHI factors. This process generated the present master qualitative database with narrative responses.&nbsp;</p> <p>The socio-ecological context for each case study is provided for contextualization.</p>

opencc-by-4.0Sep 2022View details →
zenodo40/100

Meta-analysis on Stakeholder Engagement in the Co-Production of Knowledge for Environmental Decision-making

<p>This dataset corresponds&nbsp;to&nbsp;a&nbsp;meta-analysis to examine the peer-reviewed scholarship on&nbsp;stakeholder engagement in co-production processes in environmental decision-making.</p> <p>The dataset was developed by searching keywords, abstracts, and titles in Scopus on three&nbsp;key themes:&nbsp;co-production, transdisciplinary, and community-based participatory research.&nbsp;A total&nbsp;of 709 publications were reviewed, from which 144 met the&nbsp;selection criterion. The 144&nbsp;articles&nbsp;constitute this dataset. They pertain to articles published between January 2005 and&nbsp;June 2020.</p> <p>The data includes information on the following topics:</p> <ol> <li>Number of unique case studies reported</li> <li>The projects&rsquo; time span</li> <li>When&nbsp;stakeholder engagement activities occur during the project cycle</li> <li>Are stakeholders (non-university researchers) an author</li> <li>Geographic region of project</li> <li>Environmental issues addressed</li> <li>Geographic scale of project&nbsp;</li> <li>Types of stakeholders engaged&nbsp;</li> <li>How stakeholders were&nbsp;engaged</li> <li>What output resulted from stakeholder engagement</li> <li>Approach to stakeholder engagement</li> <li>Factors that enabled stakeholder engagement</li> <li>Barriers or challenges to&nbsp;engagement</li> <li>Societal impacts associated with stakeholder engagement</li> <li>Direct evidence of societal impacts of stakeholder engagement</li> </ol> <p>The methods and analysis&nbsp;are&nbsp;presented in&nbsp;&quot;Stakeholder Engagement in the Co-Production of Knowledge for Environmental Decision-making,&quot; which was submitted for publication in 2022 to the Journal <em>World Development</em>. A draft of the manuscript can be provided upon request to authors.</p>

opencc-by-4.0Apr 2023View details →
dryad36/100

Data from: Knowledge co-production with traditional herders on cattle grazing behaviour for better management of species-rich grasslands

The research gap between rangeland/livestock science and conservation biology/vegetation ecology has led to a lack of evidence needed for grazing-related conservation management. Connecting scientific understanding with traditional ecological knowledge of local livestock keepers could help bridge this research and knowledge gap. 1. We studied the grazing behaviour (plant selection and avoidance) of beef cattle (ca. 33 000 bites) on species-rich lowland pastures in Central Europe and traditional herding practices. We also did &gt;450 outdoor interviews with traditional herders about livestock behaviour, herders' decisions to modify grazing behaviour, and effects of modified grazing on pasture vegetation. 2. We found that cattle grazing on species-rich pastures displayed at least 10 different behavioural elements as they encountered 117 forage species from highly desired to rejected. The small discrimination error suggests that cattle recognize all listed plants 'by species'. 3. We also found that herders had broad knowledge of grazing desire and they consciously aimed to modify desire by slowing, stopping or redirecting the herd. Modifications were aimed at increasing grazing intensity in less desired patches and decreasing grazing selectivity in heterogenous swards. 4. Synthesis and applications: These traditional herd management practices have significant conservation benefits, such as avoiding under- and overgrazing, and targeted removal of pasture weeds, litter and enchroaching bushes, tall competitive plants and invasive species. We argue that knowledge co-production with traditional herders who belong to another knowledge system could help connect isolated scientific disciplines especially if ecologists and rangeland scientists work closely with traditional herders, co-designing research projects and working together in data collection, analysis and interpretation. Stronger links between these disciplines could help develop evidence-based, specific conservation management practices while herders could contribute with their practical experiences and with real world testing of new management techniques.04-May-2020

opencc-zeroMay 2020View details →
dryad36/100

Electrochemical ammonia recovery and co-production of chemicals from manure wastewater

<p class="MsoNormal"><span>Livestock manure wastewater, containing high level of ammonia, is a major source of water contamination, posing serious threats to aquatic ecosystems. Because ammonia is an important nitrogen fertilizer, efficiently recovering ammonia from manure wastewater would have multiple sustainability gains from both the pollution control and the resource recovery perspectives. Here, we develop an electrochemical strategy to achieve this goal by using an ion-selective potassium nickel hexacyanoferrate (KNiHCF) electrode as a mediator. The KNiHCF electrode spontaneously oxidizes organic matter and uptakes ammonium ions (NH₄⁺) and potassium ions (K⁺) in manure wastewater with a nutrient selectivity of ~100%. Subsequently, nitrogen- and potassium-rich fertilizers are produced alongside the electrosynthesis of H₂ (green fuel) or H₂O₂ (disinfectant) while regenerating the KNiHCF electrode. The preliminary techno-economic analysis indicates that the proposed strategy has notable economic potential and environmental benefits. This work provides a powerful strategy for efficient nutrient (NH₄⁺ and K⁺) recovery and decentralized fertilizer and chemical production from manure wastewater, paving the way to sustainable agriculture.</span></p>

opencc-zeroOct 2023View details →
dryad36/100

Data from: Knowledge co-production with traditional herders on cattle grazing behaviour for better management of species-rich grasslands

Open the record for dataset details and reuse information.

publicMay 2020View details →
dryad36/100

Data from: Predicting disease risk areas through co-production of spatial models: the example of Kyasanur Forest Disease in India’s forest landscapes

Open the record for dataset details and reuse information.

publicMar 2020View details →
dryad36/100

Electrochemical ammonia recovery and co-production of chemicals from manure wastewater

Open the record for dataset details and reuse information.

publicOct 2023View details →
dryad32/100

Process development and analyses for the co-production of 2-methyltetrahydrofuran and 1,4-pentanediol from lignocellulosic biomass

<p>The development of technologies for utilizing biomass has attracted attention because biomass can be produced sustainably worldwide. Biomass-derived 2-methyltetrahydrofuran (MTHF), which is a promising alternative to gasoline, has great market potential and a growing demand. However, in conventional biomass conversion processes, the minimum selling price (MSP) of biochemicals is not economically acceptable. Co-production of biochemicals can increase the economics of biomass utilization. Herein, we developed a process for coproducing MTHF and 1,4-pentanediol (1,4-PDO) from lignocellulosic biomass. After biomass fractionation, cellulose and hemicellulose were converted to levulinic acid (LA), and lignin was used for heat and electricity generation. LA was then converted to γ-valerolactone (GVL). As a platform material for co-production, GVL was converted into MTHF and 1,4-PDO in each subsystem. The split ratio of GVL was controlled to efficiently produce MTHF and 1,4-PDO according to market conditions. Additionally, we performed a techno-economic and life-cycle assessment (TEA and LCA, respectively) for the developed process. The MSP of MTHF was calculated based on the TEA results, and the environmental impacts were quantitatively calculated based on the LCA results. We performed heat integration using pinch analysis and then reduced the energy requirement of the proposed process. The key cost drivers and environmental factors of the proposed process were identified via sensitivity analyses. Consequently, during the processing of 2,000 ton/day of corn stover (raw material of lignocellulose), the MSP of MTHF was calculated as $2.64/GGE (gasoline equivalent), and representative environmental impacts such as climate change and fossil depletion were calculated as -0.296 kg CO2 eq and -0.056 kg oil eq, respectively. <a name="_Hlk131691308"></a>As a result, we can increase the economics of commercial production of MTHF and 1,4-PDO with environmental sustainability. The proposed process can serve as a potential solution to the growing demand for the need for more sustainable biomass utilization.</p>

opencc-zeroMay 2023View details →
ClinicalTrials.gov32/100

Co-production and Feasibility RCT of Intervention to Improve the Mental Health of Children With a Social Worker

ClinicalTrials.gov study NCT06003582. IPD Sharing: NO. Countries: 1. Publications: 1.

closedIPD-NOFeb 2026View details →
dryad32/100

Process development and analyses for the co-production of 2-methyltetrahydrofuran and 1,4-pentanediol from lignocellulosic biomass

Open the record for dataset details and reuse information.

publicMay 2023View details →
ClinicalTrials.gov24/100

Developing a Brief Intervention to Communicate Cardiovascular Risk to Patients Presenting to the Emergency Department With Chest Pain: a Co-Production Approach. Phase 2.

ClinicalTrials.gov study NCT06903442. IPD Sharing: YES. Countries: 1. Publications: 0.

controlledIPD-YESFeb 2026View details →
geo16/100

The optimum concentration ratio of zinc and magnesium for co-production of bioethanol and pigments for Monascus purpureus

GEO Series GSE279939. Monascus purpureus. 6 samples. Type: Expression profiling by high throughput sequencing.

openGEO-OpenJan 2025View details →

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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.

allen-brain-atlas
neuroscienceopenDocumentation, web resources, and API references are available online.
Last verified 2026-04-30Open record

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.

abode-home-cage
behavioral-neuroscienceopenThe DataShare record exposes download links for annotations, documentation, license text, and the zipped per-snippet data directory.
Last verified 2026-04-30Open record

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.

dandi-nwb
electrophysiologyopenPublished Dandiset metadata and archive endpoints are available through the production DANDI API.
Last verified 2026-04-30Open record

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.

ibl
behavioral-neuroscienceopenPublic sessions can be searched and loaded from the IBL public data server through ONE.
Last verified 2026-04-29Open record

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.

openneuro
neuroscienceopenPublished datasets are available on demand over the internet.
Last verified 2026-04-29Open record