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275 results for “recycling”
SWAVE for LIB recycling
<p>This study has looked at 48 commercial recyclers and assessed their recycling and reclamation processes. A novel qualitative measure termed “Strategic materials Weighting And Value Evaluation" (SWAVE) is proposed and used to compare the strategic importance and value of various materials in EoL LIBs. The sustainability and quality of recycled material is assessed by comparing the final form or composition after the recycling processes, the industrial processes and the industry type (primary material producer or recycler). SWAVE is applied to each company, producing a score out of 20, with a higher number indicating that more materials are recycled.</p>
The segregation of recycled basaltic material within mantle plumes explains the detection of the X-Discontinuity beneath hotspots: 2D geodynamic simulations: Data
<pre>This repository accompanies the paper ``` The segregation of recycled basaltic material within mantle plumes explains the detection of the X-Discontinuity beneath hotspots: 2D geodynamic simulations by Martina Monaco, Juliane Dannberg, Rene Gassmoeller, Stephen Pugh ``` The global models presented in the manuscript were run using the following dependencies: ``` ----------------------------------------------------------------------------- -- This is ASPECT, the Advanced Solver for Problems in Earth's ConvecTion. -- . version 2.3.0-pre (master, 74e48be) -- . using deal.II 9.3.0 -- . with 32 bit indices and vectorization level 2 (256 bits) -- . using Trilinos 12.10.1 -- . using p4est 2.2.0 ----------------------------------------------------------------------------- ``` This repository contains: - The 'all_model_series' folder with the files used to analyze the depth averages. Each series (100, Aoki, Hefesto) has its own subfolder; - The 'plugins' folder, with the required plugin to run the models. To compile the plugin, navigate into this directory and follow the steps: 1. `cmake -D Aspect_DIR=PATH_TO_ASPECT` (replace `PATH_TO_ASPECT` with the directory where you compiled ASPECT). 2. `make` - The 'run_series' bash script, with the command to run multiple models at once. The user should modify: ° The input file name: INPUT_FILE=heterogeneity-several-blobs-INSERT-SERIES.prm ° The directory where ASPECT is located: srun --mpi=pmix_v2 $HOME/aspect/aspect-build/aspect --" echo -e $COMMAND | sbatch --job-name gs_${viscosity}_spacing_${blob_spacing} -p hpg2-compute -N 1 -n 32 -t 3-23:59:00 -o output_gs_${viscosity}_spacing_${blob_spacing}.%j -e error_gs_${viscosity}_spacing_${blob_spacing}.%j --constraint 'haswell|skylake' --mem-per-cpu '3gb' --distribution block; - The three parameter files (.prm), one per series; - Two .py files containing the scripts necessary to plot all the figures in the paper</pre>
Supporting information for Parametrized regionalization of paper recycling life-cycle assessment
<p>This supporting information provides the numerical results for (1) the process parameters' regionalization (S4); (2) the regionalized LCA climate change results for three different paper grades (S7); (3) the destinations of the mixed paper bales exiting Quebec's sorting centers (S8); (4) the LCA results for the scenarios for Quebec's case study (S9) and (5) the sensitivity analysis results, performed on the most uncertain parameters from Quebec's case study (S10).</p>
Quantification of recyclability indicators for three case studies
<p>Supplementary data table belonging to the original research publication entitled <em>Early-stage assessment of minor metal recyclability</em>.</p>
Fig 7 in Recycling and repurposing food waste as feed for small-scale zebrafish (Danio rerio) aquaculture
Fig 7: From manual counts of selected tissue sections of zebrafish fed increasing proportions of food waste-based Converted Fish Flakes (CFF) for 32 days. Average number of goblet cells in intestine sections (A) and average number of hepatocytes with vacuolar lipid accumulation in liver sections (B). Error bars represent ± one standard deviation, n=3. Groups with the same asterisk (* or **) share the same level of statistical significance
Fig 3 in Recycling and repurposing food waste as feed for small-scale zebrafish (Danio rerio) aquaculture
Fig 3: Growth in zebrafish-fed diets with increasing proportions of Converted Fish Flakes (CFF) for 32 days. Average percent change in weight in Trial 1 (A) and Trial 2 (B). Average percent change in length in Trial 1 (C) and Trial 2 (D). Error bars represent ± one standard deviation, n=3. Groups with the same asterisk (* or **) share the same level of statistical significance, groups without an asterisk share both levels.
Fig 6 in Recycling and repurposing food waste as feed for small-scale zebrafish (Danio rerio) aquaculture
Fig 6: Representative images from sample of zebrafish fed with increasing proportions of food waste-based Converted Fish Flakes (CFF) for 32 days sent for histological analysis of intestine (paraffin embedding, 5 µm sections, stained with Hemotoxylin & Eosin and Sudan IV) of intestines of male (A-C); and female (D-F); liver of males (G-I) and liver of females (J-L)
Fig 2 in Recycling and repurposing food waste as feed for small-scale zebrafish (Danio rerio) aquaculture
Fig 2: Survival of zebrafish that were fed with diets of increasing proportions of food waste-based CFF in Trial 1 (A) and Trial 2 (B).
Figure 5 in Recycling and repurposing food waste as feed for small-scale zebrafish (Danio rerio) aquaculture
Figure 5. Average VSI in zebrafish-fed diets containing increasing proportions of Converted Fish Flakes (CFF) for 32 days. n=3. Error bars represent ± one standard deviation. No significant difference was found between groups using a Kruskal-Wallis test
Fig 4 in Recycling and repurposing food waste as feed for small-scale zebrafish (Danio rerio) aquaculture
Fig 4: Average fecundity (A) and embryo survival rates (B) in zebrafish fed with diets containing increasing proportions of Converted Fish Flakes (CFF) for 32 days. n=3. Error bars represent ± one standard deviation. No significant difference was found between groups using a oneway ANOVA
Fig 1 in Recycling and repurposing food waste as feed for small-scale zebrafish (Danio rerio) aquaculture
Fig 1: Collection and production of food waste-based feed for a small-scale aquaculture study using zebrafish. (A & B) Some parts of food, such as peels, rinds, and stems, are separated during food preparation as pre-consumer food waste and are collected in designated bins to reduce contamination with undesirable materials such as paper, plastic, and chemicals. (C) To produce palatable and consistent feed, only a few food items were selected and processed. After collection food was frozen, then cooked, and portioned to contain 38% protein by weight. The cooked portions were then processed with a food processor into a smooth paste, which was dried in a dehydrator (D) to produce Converted Fish Flakes (CFF). (E-F) Commercial egg yolk fish flakes from pentair (E), Mixtures of CFF with commercial egg yolk fish flakes at different ratios of 25% (F), 50% (G) and 100% (H).
Dataset: Radius Recycling, Inc. (RDUS) 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.
FT-IR spectra in triplicate for Pd EnCat™ 30 recycling
<p>FT-IR spectra in triplicate for Pd EnCat™ 30. The spectra were obtained for the pure catalyst and after 1, 10, 20, and 30 Suzuki coupling reactions to monitor its structural changes during recycling.</p>
Dataset of "Affordable metod for synthesis of composite nanoobjects from recycled materials by hot plasma arc from basic plasma cutter "
<p>Metal remnants from battery waste can be utilized in some advanced composite materials together with other materials like cerium dioxide nanoparticles which repeatedly show interesting application potential in the field of decomposition of environmental pollutants. It is important to avoid uncontrolled leakage of the nanoparticles into the environment. Therefore immobilization in composite is important. In this contribution, ceria nanoparticles were aggregated and immobilized with the addition of nanoparticles, metal sheets, and the usage of a plasma beam. The obtained material was characterized in detail using optical microscopy, XRD, SEM, and EDS. The composite was also compared to the non-treated ceria nanoparticles. The absorption of pollutant samples was performed in aqueous solutions of Eriochrome Black T. The results show promising potential considering the morphology change and aggregate formation, together with fast reaction times. </p>
Atmospheric moisture recycling in Mediterranean-type climate regions across the world
<p>Please cite the corresponding manuscript when using this data:</p> <p>... (information will follow as soon as the manuscript is published)</p> <p>This dataset includes the local precipitation recycling ratios and the regional moisture recycling ratios for five major Mediterranean-type climate regions across the globe. Below we list these five regions and explain the concepts of local precipitation recycling and regional moisture recycling. </p> <p> </p> <p><strong>Mediterranean-type climate regions</strong></p> <p>Region 1: South West Australia</p> <p>Region 2: West coast of the US (California)</p> <p>Region 3: Central Chile</p> <p>Region 4: Mediterranean Basin (region around the Mediterranean Sea)</p> <p>Region 5: The Cape region of South Africa</p> <p> </p> <p><strong>Local precipitation recycling ratio</strong></p> <p>The local precipitation recycling ratio is the fraction of precipitation that originated within approximately 50 km from where it rains out, i.e., it evaporated from the grid cell where it rains out and the 8 surrounding grid cells. The grid cells have a resolution of 0.5DEGx0.5DEG. A more detailed explanation is provided in the journal article Theeuwen et al. (2024). </p> <p>The files that include local precipitation recycling ratios are:</p> <table> <tbody> <tr> <td><strong>File name</strong></td> <td><strong>Study region</strong></td> <td><strong>Time dimension (month)</strong></td> <td><strong>Latitude range</strong></td> <td><strong>Longitude range</strong></td> </tr> <tr> <td>PLMR_SWAustralia.nc</td> <td>South West Australia</td> <td>January-December</td> <td>-15:-48 DEGN</td> <td>106:154 DEGE</td> </tr> <tr> <td>PLMR_California.nc</td> <td>West coast of the US (California)</td> <td>January-December</td> <td>52:20 DEGN</td> <td>-131:-105 DEGE</td> </tr> <tr> <td>PLMR_CentralChile.nc</td> <td>Centra Chile</td> <td>January-December</td> <td>-10:-54 DEGN</td> <td>-80:-60 DEGE</td> </tr> <tr> <td>PLMR_Med_Basin.nc</td> <td>Mediterranean Basin</td> <td>January-December</td> <td>48:23 DEGN</td> <td>-20:-45 DEGE</td> </tr> <tr> <td>PLMR_SWCapeSA.nc</td> <td>The Cape region of South Africa</td> <td>January-December</td> <td>-26:-40 DEGN</td> <td>10:38 DEGE</td> </tr> </tbody> </table> <p> </p> <p><strong>Regional moisture recycling ratio</strong></p> <p>The regional moisture recycling ratio data includes both regional evaporation recycling ratios as well as regional precipitation recycling ratios. </p> <p>The regional evaporation recycling ratio is the fraction of evaporated water that rains out within the Mediterranean region it evaporated from. </p> <p>The regional precipitation recycling ratio is the fraction of precipitation that originated from the Mediterranean region it rains out in. </p> <p>This data has a resolution of 0.5DEGx0.5DEG and is a multi-year average (years: 2008-2017). A more detailed description is provided in the journal article Theeuwen et al. (2024). </p> <table> <tbody> <tr> <td><strong>Filename</strong></td> <td><strong>Type of recycling</strong></td> <td><strong>Study region</strong></td> </tr> <tr> <td>ERMR_SWAustralia.nc</td> <td>Regional evaporation recycling</td> <td>South West Australia </td> </tr> <tr> <td>ERMR_California.nc</td> <td>Regional evaporation recycling</td> <td>West coast of the US (California)</td> </tr> <tr> <td>ERMR_CentralChile.nc</td> <td>Regional evaporation recycling</td> <td>Centra Chile</td> </tr> <tr> <td>ERMR_Med-Basin.nc</td> <td>Regional evaporation recycling</td> <td>Mediterranean Basin</td> </tr> <tr> <td>ERMR_CapeSA.nc</td> <td>Regional evaporation recycling</td> <td>The Cape region of South Africa</td> </tr> <tr> <td>PRMR_SWAustralia.nc</td> <td>Regional precipitation recycling</td> <td>South West Australia </td> </tr> <tr> <td>PRMR_California.nc</td> <td>Regional precipitation recycling</td> <td>West coast of the US (California)</td> </tr> <tr> <td>PRMR_CentralChile.nc</td> <td>Regional precipitation recycling</td> <td>Centra Chile</td> </tr> <tr> <td>PRMR_Med-Basin.nc</td> <td>Regional precipitation recycling</td> <td>Mediterranean Basin</td> </tr> <tr> <td>PRMR_CapeSA.nc</td> <td>Regional precipitation recycling</td> <td>The Cape region of South Africa</td> </tr> </tbody> </table>
Amazon and Congo forest moisture recycling 1979-2014
<p>Evaporation and precipitation recycling of the rainforests in South America and Africa 1979-2014. Do not use the spin-up years 1979 and 2014. </p>
Datasets for Quantifying the impact of land use and land cover change on moisture recycling with convection-permitting WRF-tagging modeling in the agro-pastoral ecotone of northern China
<p>These datasets are the processed and refined data that support and lead to the described results and allow other readers to assess the conclusions in the paper, entitled “<strong>Quantifying the impact of land use and land cover change on moisture recycling with convection-permitting WRF-tagging modeling in the agro-pastoral ecotone of northern China </strong> ”.</p>
compatibility for recycling of alloys
<p>Open access to simulated and experimental data generated by the ReINTEGRA project (GA 886609, H2020, European Union, through Clean Sky 2 JU) along the research, at single-stringer coupon level, of the End-of-Life of novel welded Al-Li aerostructures.Research pertaining to Task 3.1 (WP3), Deliverable D3.2 </p> <p>Al-Li alloys Compatibility-Recyclability predictions generated by the first version of the Excel tool (ReINTEGRA scrap recyclability tool v01.xlsx) developed by AZTERLAN for 18 scrap fractions of coupons; and predictions made by the second version of the software (ReINTEGRA scrap recyclability tool v02.xlsx) for 12 scrap fractions generated during full validation of the recommended EoL route for each coupon reference. Outputs of the excel tool printed as pdf files.</p> <p>Experimental data of the scrap chemical composition originated from chemical analysis by ICP-OES conducted by AZTERLAN on test samples of remelted scrap fractions and on test samples of pre-scrap material fractions. Scrap fractions of coupons supplied by SONACA by cutting (radial saw) coupons following one of four possible cutting strategies (0C, 1C, 2C, 3C).</p> <p>Each pdf file contains the description of the scrap being evaluated, the measured elemental composition of the scrap (%wt) and the results of the following evaluations: (1) scrap composition vs composition ranges of four registered Al-Li alloys (2060, 2196, 2099, 2198); (2) quantification of excess/deficit of elements in scrap vs composition of the four registered alloys; (3) chemical compatibility with each alloy; (4) critical chemical element for compatibility; (5) recyclability as max % scrap acceptable as raw material to manufacture each alloy; (6) alloying addition needs for recycling.</p> <p>The ReINTEGRA scrap recyclability tool has been developed as part of WP3 activities (Task 3.1).</p> <p>The first version of the tool only evaluates compatibility/recyclability of scrap with the four Al-Li alloys used in ecoTECH coupons. The user must enter the chemical composition data of the scrap to be evaluated. The second version of the tool implements corrections to the algorithm to identify the critical element in excess for setting max. % of scrap in the charge.</p> <p>The coupon scrap samples have been used for investigating cutting strategies (WP2), remelting set-up (WP3) and full validation of recommended EoL routes (WP3). Pre-scrap materials have been used in pre-scrap characterisation protocols (WP4).</p>
Data from : Successful recycling of construction wastes into multifunctional soil for green infrastructures, Pruvost & al 2022
<p>Dataset of the Paper "Successful recycling of construction wastes into multifunctional soil for green infrastructures" by Pruvost et al. 2023.</p> <p>macrofauna.csv</p> <p>soil_properties.csv</p> <p>vegetation.csv</p> <p>vegetation_biomass.csv</p>
Mechanically recyclable melt-spun fibers from lignin esters and iron oxide nanoparticles: towards circular lignin materials
<p>Source data for the article:</p> <p>Mechanically recyclable melt-spun fibers from lignin esters and iron oxide nanoparticles: towards circular lignin materials<a href="https://pubs.rsc.org/en/content/articlelanding/2023/gc/d3gc02381h#fn1">†</a></p> <p><a href="https://pubs.rsc.org/en/results?searchtext=Author%3AUnnimaya%20Thalakkale%20Veettil">Unnimaya Thalakkale Veettil</a>, <sup><em>a</em></sup> <a href="https://pubs.rsc.org/en/results?searchtext=Author%3AAdrian%20Moreno">Adrian Moreno</a>, <a href="https://pubs.rsc.org/en/content/articlelanding/2023/gc/d3gc02381h#fn2">‡</a><sup><em>a</em></sup> <a href="https://pubs.rsc.org/en/results?searchtext=Author%3AAlberto%20J.%20Huertas-Alonso">Alberto J. Huertas-Alonso</a>, <sup><em>a</em></sup> <a href="https://pubs.rsc.org/en/results?searchtext=Author%3AMohammad%20Morsali">Mohammad Morsali</a>, <sup><em>ab</em></sup> <a href="https://pubs.rsc.org/en/results?searchtext=Author%3AIevgen%20V.%20Pylypchuk">Ievgen V. Pylypchuk</a>, <sup><em>a</em></sup> <a href="https://pubs.rsc.org/en/results?searchtext=Author%3ALi-Yang%20Liu">Li-Yang Liu</a> <sup><em>a</em></sup> and <a href="https://pubs.rsc.org/en/results?searchtext=Author%3AMika%20H.%20Sipponen">Mika H. Sipponen</a> *<sup><em>ab</em></sup></p> <p>Green Chemistry</p> <p><a href="https://doi.org/10.1039/D3GC02381H">https://doi.org/10.1039/D3GC02381H</a></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.