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275 results for “recycling”
Supplementary data for "Computational Investigation of RO2 + HO2 and RO2 + RO2 Reactions of Monoterpene Derived First-Generation Peroxy Radicals Leading to Radical Recycling", revised version submitted to J. Phys. Chem. A
<p>log files (Gaussian 09) and out files (Orca 4.0)</p> <p>(Note: Files_final.zip contains all the same log and out files as Files.zip, but also few additional structures added during the revision process, namely two additional RO2 from ocimene ozonolysis, and one additional transition state for a RO2 + HO2 reaction. Please ignore the file Files.zip.)</p>
CABRISS - Photovoltaic Waste & Recycling Circular Economy
<p>CABRISS short video presentation.</p>
AHP-Based Supplier Selection Framework for Recycled Polypropylene Resin in Sustainable Manufacturing
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Recovery and potential use for non-polyolefin materials after physical recycling of complex multilayers - Underlying data
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European Lithium Battery Recycling Facilities 2010-2030
<p>This dataset provides a comprehensive mapping of existing and announced lithium-ion battery recycling plants in Europe for the period 2010–2030. The data includes facilities identified through sources such as <a href="https://battery-news.de/en/europe-battery-recycling/">Battery News</a>, various news websites, and scientific literature. The format follows the <a href="../records/5708456">Swave dataset</a> and contains detailed information about each facility, including the company and other stakeholders involved, the location (country and city), operational status (operational, planned, or stopped), the recycling processes implemented, feedstock types, output products, and annual capacities. Additionally, it specifies, to the best of the author's knowledge, the elements and components being recovered at each facility.</p> <p><strong>Disclaimer</strong>: If you identify any incorrect information, please contact the author so the dataset can be promptly updated.</p>
MOC composites with filler from MOC recyclate: towards waste-free and CO2-neutral technology
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Recycled T830 carbon fibers: morphological characterization
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Eco-evolutionary outsiders: establishing in a distantly related neighbourhood delays and reorganizes nutrient recycling
<p class="CxSpFirst"><span><span><span><span><span><span><span><span><span><span><span>Rapid environmental change forces long-lived plants like trees to immigrate into zones still occupied by phylogenetically distantly related species. Does such phylogenetic isolation (PI) change the trees' ecosystem functioning such as litter decomposition? We studied oaks (<i>Quercus petraea</i>) of low and high PI, reciprocally transplanting their litters to identify effect of aboveground litter quality and belowground decomposer biota. Across 8 and 14 months we quantified decomposition (mass loss, C-loss and N-loss), decomposer biota (Acari, Collembola, microbes) and <sup>13</sup>C/<sup>12</sup>C ratio. Across 14 months, aboveground PI retarded decomposition (mass and C loss). Across 8 and 14 months, above- and belowground PI extensively altered relationships between decomposition and abundances/diversities of different soil biota, reduced microbial activity and <sup>13</sup>C/<sup>12</sup>C ratios. Overall, coexistence of trees with distant relatives impedes and severely re-organizes C and N recycling. Such negative ecosystem feedback might prevent trees from tracking and conserving abiotic niches under environmental change. </span></span></span></span></span></span></span></span></span></span></span></p>
Effects of Application of Recycled Chicken Manure and Spent Mushroom Substrate on Organic Matter, Acidity, and Hydraulic Properties of Sandy Soils
<p>This study aimed at examining the effects of long-term application of<br> chicken manure (CM) and spent mushroom substrate (SMS) on organic matter accumulation, acidity,<br> and hydraulic properties of soil. Two podzol soils with sandy texture in Podlasie Region (Poland)<br> were enriched with recycled CM (10 Mg ha1) and SMS (20 Mg ha1), respectively, every 1–2 years<br> for 20 years. The application of CM and SMS increased soil organic matter content at the depths<br> of 0–20, 20–40, and 40–60 cm, especially at 0–20 cm (by 102–201%). The initial soil pH increased in<br> the CM- and SMS-amended soil by 1.7–2.0 units and 1.0–1.2 units, respectively. Soil bulk density at<br> comparable depths increased and decreased following the addition of CM and SMS, respectively.<br> The addition of CM increased field water capacity (at –100 hPa) in the range from 45.8 to 117.8%<br> depending on the depth within the 0–60 cm layer. In the case of the SMS addition, the value of the<br> parameter was in the range of 42.4–48.5% at two depths within 0–40 cm. Depending on the depth, CM<br> reduced the content of transmission pores (>50 m) in the range from 46.3 to 82.3% and increased the<br> level of residual pores (<0.5 m) by 91.0–198.6%. SMS increased the content of residual pores at the<br> successive depths by 121.8, 251.0, and 30.3% and decreased or increased the content of transmission<br> and storage pores. Additionally, it significantly reduced the saturated hydraulic conductivity at<br> two depths within 0–40 cm. The fitted unsaturated hydraulic conductivity at two depths within the<br> 0–40 cm layer increased and decreased in the CM- and SMS-amended soils, respectively. The results<br> provide a novel insight into the application of recycled organic materials to sequester soil organic<br> matter and improve crop productivity by increasing soil water retention capacity and decreasing<br> acidity. This is of particular importance in the case of the studied low-productivity sandy acidic soils<br> that have to be used in agriculture due to limited global land resources and rising food demand.</p>
Figure 7 in Recycling resources: silica of diatom frustules as a source for spicule building in Antarctic siliceous demosponges
Figure 7. Silicon isotope data of sponge spicules, free-swimming diatoms and seawater. A. Silicon isotope (δ30Si) composition for sponges, diatoms and seawater of Deception Island. B. Comparison of our data for δ30Si/ δ29Si in sponges, diatoms and seawater from Deception Island, with values reported in previous datasets of sponges, diatoms and seawater (Hendry et al., 2010; Wille et al., 2010).
Figure 5. Vesicles with silica-like granules within sponge cells. A in Recycling resources: silica of diatom frustules as a source for spicule building in Antarctic siliceous demosponges
Figure 5. Vesicles with silica-like granules within sponge cells. A, an amoeboid sponge cell (spc) in P. areolatus showing a cytoplasm packed with vesicles and an ingested diatom (di) within a large digestive vesicle. Note that three different granule types were identified by microanalysis in the section of this species: silica granules (si), and lead granules (Pb). B–C, highly vesiculated, amoeboid sponge cell in He. pilosus. Note the silica-like granules (si) first present within vesicles and later incorporated within the cytoplasm. D, amoeboid sponge cell in P. areolatus showing an ingested diatom (di) and silica-like granules (si).
Figure 6 in Recycling resources: silica of diatom frustules as a source for spicule building in Antarctic siliceous demosponges
Figure 6. Microanalysis of the content of silica-like vesicles, sponge spicules and diatoms within the sponge tissues. A, sponge cell, probably an amoebocyte (c), of P. areolatus showing accumulation of silica-like granules in the cytoplasm (SiV). B, sclerocyte-like cell (c) of M. tridens showing accumulation of silica-granules in vesicles (SiV). C, diatom (di) engulfed by a sponge cell in M. tridens. D, sclerocyte (sc) of P. areolatus making spicules (sp). E, elemental profile of Figure 6A. F, elemental profile of Figure 6B. G, elemental profile of Figure 6C. H, elemental profile of Figure 6D. Note that the EDX probe measurements were taken on the white circles marked in the images.
Figure 4 in Recycling resources: silica of diatom frustules as a source for spicule building in Antarctic siliceous demosponges
Figure 4. Diatoms (di) ingested by amoeboid sponge cells (spc). A–D, sponge cells (spc) digesting diatoms (di) in P. areolatus. Note the large lipid (li) droplets present within diatoms (di) and later accumulated in the cytoplasm of sponge cells (spc). E–F, sponge cells (spc) digesting diatoms (di) in K. variolosa. Note the silica-like (si) granules being dissolved from the diatom frustule and the well-developed Golgi apparatus (g).
Determinants of Smallholder Farmers Technical Efficiency of Bread Wheat Production and Implications of Seed Recycling in Ethiopia: The Stochastic Frontier Approach
<p>This is a survey data gathered from two districts of East Gojam Zone, Ethiopia for a study entitled with "Determinants of Smallholder Farmers Technical Efficiency of Bread Wheat Production and Implications of Seed Recycling in Ethiopia: The Stochastic Frontier Approach"</p>
Laminated glass mapping data: Laminated glass recycling
<p>Denuo in representation of FERVER (FERVER, the European Federation of Glass Recyclers) is responsible in the leading of the mapping of PVB. By developping an online survey with specific questions on the collection and proccessing of laminated glass from the construction and/or automotive sector, the aim is to give a clear illustration of the PVB waste from laminated glass all over Europe and its potential for recycling. In this context, this dataset shows information about the recycling of the laminated glass</p>
Local moisture recycling across the globe
<p>Please cite the corresponding manuscript when using this data</p> <p>Theeuwen, J. J. E., Staal, A., Tuinenburg, O. A., Hamelers, B. V. M., and Dekker, S. C.: Local moisture recycling across the globe, Hydrol. Earth Syst. Sci., 27, 1457–1476, https://doi.org/10.5194/hess-27-1457-2023, 2023.</p> <p>This dataset includes multiple files that are listed below:</p> Overview of the files included in this dataset <table><tbody> <tr> <td>Filename</td> <td>Description</td> </tr> <tr> <td>1.5degrees_weighted_yearly_average_moisture_recycling.nc</td> <td>Recycling ratio of evaporated moisture within the source grid cell of 1.5 degrees. These are multi-year (2008-2017) averaged values. </td> </tr> <tr> <td>moisture_recycling_r9_**.nc</td> <td>Multi-year (2008-2017) monthly average of the local moisture recycling ratio (r9). THe number (**) indicates which month, with 01 being January and 12 being December.</td> </tr> <tr> <td>weighted_seasonal_average_moisture_recycling.nc</td> <td>Multi-year (2008-2017) seasonal averages of the local moisture recycling ratio (r9). The first dimension of this file represents the season. 1: DJF, 2:MAM, 3:JJA, 4:SON.</td> </tr> <tr> <td>weighted_yearly_average_moisture_recycling_r*.nc</td> <td>The different definitions of the local moisture recycling ratio (r1, r9, r25). All are multi-year (2008-2017) averaged moisture recycling ratios</td> </tr> </tbody> </table> <p> </p> <p>The moisture recycling at a resolution of 0.5 degrees has the following shape (360,720). Dimension 1 indicates the latitude, and dimension 2 indicates the longitude. </p> <p>The latitude ranges from 90 degrees to -90 degrees (np.arange(90,-90,-0.5))</p> <p>The longitude ranges from 0 degrees to 360 degrees. </p> <p>For a format in which the longitude ranges between -180 and 180 degrees the following lines can be included in python:</p> <p><em>plotlmr=np.zeros(lmr.shape)</em><br><em>plotlmr[:,:360]=lmr[:,360:]</em><br><em>plotlmr[:,360:]=lmr[:,:360]</em></p> <p>Here lmr is the array in the original format.</p> <p>The longitude and latitude arrays can now be defined as follows:</p> <p><em>lats=np.arange(90,-90,-0.5)</em><br><em>lons=np.arange(-180,180,0.5)</em></p>
Light calcium isotope anomaly observed in continental basaltic lavas: a mixed signal of recycled carbonate and fractionation during melting
<p>Table 1 and Supplementary Tables S1 to S7 which support for the manuscript 'Light calcium isotope anomaly observed in continental basaltic lavas: a mixed signal of recycled carbonate and fractionation during melting'.</p>
Detecting Autologous Transfusion by Measuring Alterations in the Dynamics of Red Blood Cell Maturation and Recycling
ClinicalTrials.gov study NCT02684747. IPD Sharing: NO. Countries: 1. Publications: 10.
Study for Promotion of Health in Recycling Lead
ClinicalTrials.gov study NCT02243904. IPD Sharing: Not stated. Countries: 1. Publications: 5.
Recycling Potential in Endoscopy - a Multicentre Prospective Observational Study
ClinicalTrials.gov study NCT05921136. IPD Sharing: NO. Countries: 1. Publications: 3.
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Allen Brain Atlas
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DANDI Archive for NWB datasets
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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.