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275 results for “recycling”
Workshop - European initiatives for nutrient recycling in agri-food systems
<p>This is the video of the workshop (16 December 2019 – Vila-sana, Lleida, Spain) jointly organised by the Circular Agronomics project and the H2020 project <a href="https://www.nutri2cycle.eu/">Nutri2Cycle</a> on European initiatives for nutrient recycling in agri-food systems.</p> <p>The event showcased the various strategies that exist across Europe to recycle nutrients and that the different EU-funded projects already working to achieve this can complement one another in order to attain a common goal.</p> <p>One of the experimental sites within the Catalonia case study of the Circular Agronomics project was visited.</p>
Large variations of Calcium isotopes in Lutao arc volcanic rocks: Influence of recycled marine carbonate and partial melting
<p>The dataset for the manuscript in preparation: Large variations of Calcium isotopes in Lutao arc volcanic rocks: Influence of recycled marine carbonate and partial melting</p>
Recycling Carbon Dioxide In The Cement Industry To Produce Added-Value Additives
<p>Prof. Simelys Hernández of the Italian Institute of Technology presented the RECODE project (<a href="http://www.recodeh2020.eu">recodeh2020.eu</a>) at the EU Green Week Webinar 'Towards Zero Pollution in the Production of Green Fuels and Chemicals' on 4th June 2021.</p>
Community patch‐dynamics governs direct and indirect nutrient recycling by aggregated animals across spatial scales
<p>Animals can have pervasive effects on ecosystems as they modify their biogeochemical and physical environments. In particular, when animals occur in high densities these effects can result in dramatic changes in the physical environment and biogeochemical hotspots or hot moments. While most research to date has focused on the direct role of animals in biogeochemical cycles, few have examined how animals indirectly influence biogeochemical cycles across scales.</p> <p>Freshwater mussels occur as spatially heterogeneous, dense and species-rich aggregations in many river ecosystems worldwide. Here we examined how mussel communities (1) directly influence the flux of particulate and dissolved nutrients and (2) indirectly effect the flux of N<sub>2</sub> production, via denitrification, across a gradient of mussel biomass and differences in community composition at the patch- (0.25 m<sup>2</sup>) and stream reach-scales (60-80 m).</p> <p>We combined measurements of ammonia (N) and soluble reactive phosphorous (P) excretion and C, N, and P biodeposition rates for ten species with biomass and distribution estimates for seven mixed-species aggregations to quantify direct mussel contributions to biogeochemical cycling and the spatial heterogeneity of their impact. Additionally, we sampled sediments at a fine spatial scale to determine how mussel biomass and richness influence potential denitrification (indirect flux) rates at the patch- and reach-scales.</p> <p>We predicted that increasing mussel biomass would lead to greater direct and indirect fluxes of nutrients, manifesting in heterogeneous nutrient redistribution within and among stream reaches. We also predicted that variation in community composition would result in differential nutrient excretion and egestion stoichiometries.</p> <p>Our results indicate that mussel aggregations directly influence soluble and particulate nutrient fluxes with community composition, particularly phylogenetic tribe composition, controlling the stoichiometry. Mussel aggregations also indirectly influenced nutrient fluxes as greater mussel biomass and species richness resulted in higher denitrification rates as mediated by their interactions with the sediments and enhancement of nutrient availability. Our results underscore the importance of patchy communities in acting as biogeochemical control points.</p>
REFLOW - Simulated Data Gown Recycling Amsterdam
<p>Simulated data for an isolation gown recycling usecase for an Amsterdam Pilot within the Reflow-EU-project context</p>
Results of surface hot-in place recycling (remix) of modified and alternative asphalt mixtures in Finland. Part II: Bitumen scale
<p>The following material is included in a digital appendix.</p> <ul> <li><strong><a href="https://zenodo.org/api/files/a34688f2-e7e5-43a4-bcb7-a4238429f56b/Appendix%201.%20FT-IR.pdf?versionId=6ea761b1-a830-4e01-a761-f103373497ce">Appendix 1</a>:</strong> FT-IR spectra of all bitumens before and after REM/RUT.</li> <li><strong><a href="https://zenodo.org/api/files/a34688f2-e7e5-43a4-bcb7-a4238429f56b/Appendix%202.%20Gradations.pdf?versionId=b8b1b0b0-d421-42f8-84ef-728cb1acce33">Appendix 2</a>:</strong> Gradations of the specimens before and after REM/RUT (two specimens per material).</li> <li><strong><a href="https://zenodo.org/api/files/a34688f2-e7e5-43a4-bcb7-a4238429f56b/Appendix%203.%20DSR%20test%20results.pdf?versionId=cd3ccf9e-a264-458c-9d54-fcfbca40ec1f">Appendix 3</a>:</strong> DSR test data. Complex shear modulus (G*), phase angle (δ), and Black diagram for all materials before and after REM/RUT.</li> <li><strong><a href="https://zenodo.org/api/files/a34688f2-e7e5-43a4-bcb7-a4238429f56b/Appendix%204a.%20DSR%20master%20curves%20(8-mm).pdf?versionId=44f9c881-912f-4f35-b4c7-193d88d5572c">Appendix 4a</a>:</strong> DSR shifted data, and master (fitted) curves, 8-mm, summary before and after REM/RUT.</li> <li><strong><a href="https://zenodo.org/api/files/a34688f2-e7e5-43a4-bcb7-a4238429f56b/Appendix%204b.%20DSR%20master%20curves%20(4-mm).pdf?versionId=30952a8f-029b-409f-ba87-da9d9972880b">Appendix 4b</a>:</strong> DSR shifted data, and master (fitted) curves, 4-mm, summary before and after REM/RUT.</li> <li><strong><a href="https://zenodo.org/api/files/a34688f2-e7e5-43a4-bcb7-a4238429f56b/Appendix%205.%20WLF%20and%20sigmoidal.pdf?versionId=fb826979-868d-47f4-8acd-697550000f87">Appendix 5</a>:</strong> WLF fitting constants (Table A1), and parameters for sigmoidal curves (Table A2).</li> <li><strong><a href="https://zenodo.org/api/files/a34688f2-e7e5-43a4-bcb7-a4238429f56b/Data%20II%20-%20Read%20me.pdf?versionId=c40871da-deff-456f-b4d6-a6136e9c294a">Database</a>:</strong> Laboratory data (Excel files, brief read-me guide) of all tests at bitumen scale. </li> </ul>
Results of surface hot-in place recycling (remix) of modified and alternative asphalt mixtures in Finland. Part I: Mixture scale
<p>The following material is included as a digital appendix:</p> <ul> <li><strong><a href="https://zenodo.org/api/files/ecff4755-8652-4c3b-9dcf-28cf09002c98/Appendix.%20Cores%20and%20plots%20of%20test%20results.pdf?versionId=39468d84-e556-41c4-b86c-0ccdb2d5a36e">Appendix</a>. </strong>Images of selected cores, and test results for all specimens at the mixture scale (plots): bulk density, air voids, strength, stiffness, Prall abrasion, and creep permanent deformation.</li> <li><a href="https://zenodo.org/api/files/ecff4755-8652-4c3b-9dcf-28cf09002c98/Data%20I%20-%20Read%20me.pdf?versionId=e500484c-10df-417a-bc1c-d2017d70d64f"><strong>Database</strong></a> with laboratory test data and measurements (mixture scale). Two Excel files and brief read-me guide.</li> </ul>
Rapid increase in transferrin receptor recycling promotes adhesion during T cell activation
<p>This Dataset contains primary data used for the publication "Rapid increase in transferrin receptor recycling promotes adhesion during T cell activation" accepted for publication in BMC Biology on 15. July 2022</p> <p><strong>Abstract:</strong></p> <p>Background<br> T cell activation leads to increased expression of the receptor for the iron transporter transferrin (TfR) to provide iron required for the cell differentiation and clonal expansion that takes place during the days after encounter with a cognate antigen. However, T cells mobilise TfR to their surface within minutes after activation, although the reason and mechanism driving this process remain unclear.</p> <p>Results<br> Here we show that T cells transiently increase endocytic uptake and recycling of TfR upon activation, thereby boosting their capacity to import iron. We demonstrate that increased TfR recycling is powered by a fast endocytic sorting pathway relying on the membrane proteins flotillins, Rab5 and Rab11a-positive endosomes. Our data further reveal that iron import is required for a non-canonical signalling pathway involving the kinases Zap70 and PAK, which controls adhesion of the integrin LFA-1 and eventually leads to conjugation with antigen-presenting cells.</p> <p>Conclusions<br> Altogether, our data suggest that T cells boost their iron importing capacity immediately upon activation to promote adhesion to antigen-presenting cells.</p> <p> </p> <p>Data are organised in compressed (.zip) folders entitled as the corresponding Figures in the publication.</p> <p>Programs we recommend to view the files are:<br> .fcs files: FlowJo software v10 (Tree Star, Ashland, OR, USA)<br> .lsm and .czi files: ZEN 2012 SP1 and higher (Carl Zeiss, Jena, Germany)<br> .lif files: LAS X v3 (Leica Microsystems, Wetzlar, Germany)<br> .pzfx files: Prism v7 software (GraphPad, San Diego, CA, USA)</p>
Data from: Efficient carbon recycling between calcification and photosynthesis in red coralline algae
<p>Red coralline algae create abundant, spatially vast, reef ecosystems throughout our coastal oceans with significant ecosystem service provision, but our understanding of their basic physiology is lacking. In particular, the balance and linkages between carbon-producing and carbon-sequestering processes remain poorly constrained, with significant implications understanding their role in carbon sequestration and storage. Using a dual radioisotope tracing, we provide evidence for coupling between photosynthesis (which requires CO2) and calcification (which releases CO2) in the red coralline alga Boreolithothamnion soriferum (previously Lithothamnion soriferum) – a marine ecosystem engineer widely distributed across Atlantic mid-high latitudes. Of the sequestered HCO3-, 38±22% was deposited as carbonate skeleton whilst 39±14% was incorporated into organic matter via photosynthesis. Only 38±2% of the sequestered HCO3- was transformed into CO2, and almost 40% of that was internally recycled as photosynthetic substrate, reducing the net release of carbon to 23±3% of the total uptake. Calcification rate was strongly dependent on photosynthetic substrate production, supporting the presence of photosynthetically-enhanced calcification. The efficient carbon-recycling physiology reported here suggests that calcifying algae may not be as important in marine system CO2 release as is currently assumed, supporting a reassessment of their role in blue carbon accounting.</p>
AI-BASED INSPECTION OF RECYCLED CARBON FIBRE FABRIC
<p>The dataset is part of an EU-funded project and is included in the paper entitled "AI-based Inspection of Recycled Carbon Fibre Fabric."</p> <p>The work presented in this paper is related to the project “MC4” and has received funding from the European Union’s Horizon Europe research and innovation program under grant agreement No 101057394. Views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of the European Union. Neither the European Union nor the granting authority can be held responsible for them. </p> <p> </p> <p><a href="../api/records/11203952/draft/files/sample_images.zip/content" target="_blank" rel="noopener noreferrer">sample_images.zip</a> - It is a zip file containg the .png images. These are the samples images of the output from the in-house developed sensor.</p> <p><a href="../api/records/11203952/draft/files/dataset_samples.pkl/content" target="_blank" rel="noopener noreferrer">dataset_samples.pkl</a> - It is a pickle file. This contains the dataset whose results are reported in the paper .</p> <p><a href="../api/records/11203952/draft/files/load_data.py/content" target="_blank" rel="noopener noreferrer">load_data.py</a> - This is the sample code to load the data. Explanation to the shapes and the structure of the data are present here.</p>
April 7, 2024 (v1) Image Open Tuning apicobasal polarity and junctional recycling in the hemogenic endothelium orchestrates the morphodynamic complexity of emerging pre-hematopoietic stem cells —Source data 5 relative to Figure 7 - Figure Supplement 4
<p>Source data file relative to <strong><span>Figure 7 – figure supplement 4 Panel A</span></strong></p> <p><span>Raw image of agarose gel showing the 2 alternative mRNAs encoding for ArhGEF11 in control animals (left track, control) and after injection of the MO at the one cell stage (right track, +MO at 2 and 5ng). The source data includes the raw files (native format .scn and open source format .tiff) as well as a pdf file showing both the full scale image and the cropped image selected for the figure.<br></span></p>
Development of a Self-Healing and Rejuvenating Mechanisms for Asphalt Mixtures Containing Recycled Asphalt Shingle
<p>Corresponding data set for Tran-SET Project No. 17BLSU06. Abstract of the final report is stated below for reference:</p> <p>"The objective of this study was to test the hypothesis that hollow-fibers encapsulating a rejuvenator product could improve both self-healing, rejuvenation, and mechanical properties of asphalt mixtures. Hollow-fibers containing a rejuvenating product were synthesized via a wet spinning procedure with sodium-alginate polymer as the encapsulating material. An optimization of the production parameters for the synthesis of fibers was performed to develop fibers suitable for high-temperature and shear stress environment typical of asphalt mixture production. A self-healing experiment was conducted to evaluate the healing/rejuvenation capabilities of sodium-alginate fibers in asphalt mixtures with varying types of binders and recycled materials. Based on the self-healing experiment, a 5% fiber content was determined to be the optimum fiber content to enhance the self-healing ability of asphalt mixtures. In addition, the effect of different fiber contents on binder blends and asphalt mixtures was evaluated by performing the Multiple Stress Creep Recovery (MSCR) and Semi-Circular Bending (SCB) tests. Results of the self-healing experiment showed that the enhancement in the healing recovery depends on the breakage of the fibers. When the fibers break, the rejuvenator is released resulting in softening of the binder. In contrast, when the fibers do not break, they act as a reinforcement for the mix. Loaded Wheel Tester (LWT) test results showed a performance improvement against permanent deformation for asphalt mixtures containing recycled materials with sodium-alginate fibers compared to conventional asphalt mixtures. Furthermore, SCB test results showed that the addition of sodium-alginate fibers enhanced the fracture properties of asphalt mixtures with Recycled Asphalt Shingle (RAS) at intermediate temperatures. Moreover, the addition of fibers in mixtures with recycled materials resulted in an improved performance against low-temperature cracking as the mixtures resisted higher stresses before failure."</p>
Soil-Recycled Aggregate-Geopolymer Road Base/Subbase Mixtures: Steps Towards Sustainability
<p>Corresponding data set for Tran-SET Project No. 18GTLSU10. Abstract of the final report is stated below for reference:</p> <p>"This study deals with the development of Soil-Geopolymer mixtures using flyash, alkali activator and recycled aggregates (RAG) including recycled concrete (RCA) and reclaimed asphalt (RAP) as an alternative to soil-cement for pavement base and subbase layers. Several mix constituents were varied such as flyash type and content, RCA and RAP content and ratio of sodium silicate and sodium hydroxide. Experiment design was established and mechanical and durability characteristics of Soil-RAG-Geopolymer mixtures were evaluated and then compared to the conventional soil-cement mixtures. The results of the testing showed that for the selected Soil-RAG-Geopolymer mixtures the strength, stiffness, permanent deformation, and durability characteristics were either comparable or better than the soil-cement mixtures. However, such mixtures required more curing time at room temperature to achieve needed strength. In order to further optimize the practical applications of this technology in the field, other variables such as molarity of alkali activator, curing conditions, early strength development at room and ambient temperatures, gradation of RAG and shrinkage characteristics need be investigated."</p>
Assessment of transport phenomena in catalyst effectiveness for chemical polyolefin recycling
<p>Dataset for the article titled Assessment of transport phenomena in catalyst effectiveness for chemical polyolefin recycling, published in Nature Chemical Engineering.</p>
Dataset for the publication: Ruthenium-Catalyzed "Open-Loop" Recycling of Polyethylene via Tandem Isomerization-Metathesis (ISOMET)
<p>This dataset contains the processed data collected in the research study titled "Ruthenium-Catalyzed “Open-Loop” Recycling of Polyethylene via Tandem Isomerization-Metathesis (ISOMET)" published in Green Chemistry.</p> <p> </p> <h3>Description of included data:</h3> <ul> <li>pyrolysis_product_dist_fig2.csv <ul> <li>Units: wt%</li> <li>wt% for heavy and light with respect to the total liquid fraction</li> <li>total liquid fraction = 100 - gases wt% - solids wt%</li> </ul> </li> <li>chain_length_dist_fig3.csv <ul> <li>Column compound: number of C-atoms in chain</li> <li>Columns before and after in mg</li> </ul> </li> <li>full_conv_exp_run1.csv and full_conv_exp_run2.csv <ul> <li>Column time in minutes</li> <li>Columns for propylene and butene in mmol</li> </ul> </li> <li>20mLDoE_fig4b.csv <ul> <li>Column temperature in °C</li> <li>Column pressure in bar</li> </ul> </li> <li>50mLDoE_fig4c.csv <ul> <li>Column temperature in °C</li> <li>Column pressure in bar</li> </ul> </li> <li>rep_batch_full_fig4d.csv <ul> <li>Column time in h</li> <li>Column propylene in mmol</li> <li>Column exchange: if "yes" gas phase was exchanged after measurement</li> </ul> </li> <li>tga_tipelin_610B_figS1.csv <ul> <li>Column temp in °C</li> <li>Column time in min</li> <li>Column mass in wt%</li> </ul> </li> <li>plot.py <ul> <li>Recreates all the figures in the publication. Requires the packages matplotlib, numpy, pandas, rwthcolors and scipy to be installed in the environment.</li> </ul> </li> </ul>
Dataset related to "Material recycling in energy system modeling: a review and showcase"
<p>This dataset has been generated and used for the publication:</p> <blockquote> <p>Zwickl-Bernhard, S., 2024. Material recycling in energy system modeling: a review and showcase. ... DOI: ...</p> </blockquote> <p>The corresponding code is published on *Github. #add link after publication</p> <p>The dataset includes:</p> <ol> <li>Compiled data for manufacturing costs of Solar Modules and Wind Turbines in the EU (manufacturing costs in the EU.xlsx)</li> <li>Compiled data for modified prices (modified prices.xlsx)</li> <li>Additional Data (scalars.xlsx)</li> <li>Sources (sources.txt)</li> <li>Compiled data for yearly capacity of Solar Modules and Wind Turbines (vectors_capacity.xlsx)</li> <li>Compiled data for yearly costs of Solar Modules and Wind Turbines (vectors_costs.xlsx)</li> <li>Compiled data for yearly manufacturing costs of Solar Modules and Wind Turbines (vectors_manufacturing.xlsx)</li> </ol>
Insights into subduction-zone fluid-rock interactions and carbon recycling from magnesium isotopes of subducted ophiolitic mélanges in the Arabian-Nubian Shield
<p><span>Table S1:</span><span> Major element concentrations (in wt%) and Mg isotopic compositions (‰) for the ANS subducted ophiolitic mélanges.</span></p> <p><span>Table S2: Trace element concentrations (ppm) for the ANS subducted ophiolitic mélanges.</span></p>
Resources for "BMF CP 98: Parents as motivations for children's waste reusing and recycling behaviors"
<p>The current study is conducted to examine the following research questions:</p> <ul> <li>How are the father’s interactions with children regarding waste recycling associated with the children’s recycling behaviors?</li> <li>How are the mother’s interactions with children regarding waste recycling associated with the children’s recycling behaviors?</li> </ul>
Discovery of Ultra-depleted Melt Inclusion in Late Cretaceous Intracontinental Basaltic Andesites in South China: Implications for Recycling of Lower Oceanic Crust
<p><strong>Contents of this file </strong></p> <p><strong>S1. Supplementary Text:</strong></p> <p><strong>1. </strong>Data compilation and statistical analysis</p> <p><strong>2.</strong> Reconstructing the chemical compositions of melt inclusion</p> <p><strong>3.</strong> Batch melting calculation</p> <p><strong>4.</strong> Melt-plagioclase diffusive interaction model</p> <p><strong>S2. Supplementary Table:</strong></p> <p><strong>Table S1. </strong>The parameters used in batch melting calculation.</p> <p><strong>Table S2. </strong>Parameters used in the melt-plagioclase diffusive interaction model</p> <p><strong>Table S3. </strong>Input and output data for the melt-plagioclase diffusive interaction model.</p> <p><strong>S3. Supplementary Figure:</strong></p> <p><strong>Figure S1. </strong>Primitive mantle-normalized trace element patterns.</p> <p><strong>S4. Supplementary Dataset (uploaded separately):</strong></p> <p><strong>Dataset S1. </strong>Compiled data including basaltic rocks from South China, MORBs, and Hawaiian OIBs.</p> <p><strong>Dataset S2. </strong>Olivine chemical compositions.</p> <p><strong>Dataset S3. </strong>Bulk-rock major oxide, trace element, and Sr-Nd-Pb-Hf isotopic compositions.</p> <p><strong>Dataset S4. </strong>Measured and corrected major element compositions of melt inclusion.</p> <p><strong>Dataset S5. </strong>Measured and corrected trace element compositions of melt inclusion.</p> <p><strong>Dataset S6. </strong>Pb isotopic compositions of melt inclusion.</p>
Total estimated number of informal waste pickers or recyclers in Kathmandu Valley, as of December 2022
<p>Using key informants representing different parts of the informal waste management value chain, the RIPL project has produced an updated estimated total number of informal recyclers for Kathmandu Valley, in December 2022. The overview includes methods of calculation and names of key informants. </p>
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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.
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.