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40 results for “material efficiency”
Database of the ODYM-RECC v2.4 model, used for the Germany case study on material efficiency and climate change mitigation
<p>Database of the ODYM-RECC v2.4 model, used for the Germany case study on material efficiency and climate change mitigation. For the model code, see https://github.com/YaleCIE/RECC-ODYM. The model results archived here were calculated by running the ODYM-RECC scripts of commit no. cb3a388 with the data in this archive.</p>
Supplementary Material for "How do seasonal and technical factors affect generation efficiency of photovoltaic power plants?"
<p>Supplementary material for the paper "How do seasonal and technical factors affect generation efficiency of photovoltaic power plants?".</p><p>This supplementary information provides:</p><ul><li>Table S1. Monthly solar irradiation for each plants</li><li>Table S2. Summary of input and output factors, and efficiency scores</li><li>Table S3. Rainy season of the northern Kyushu region</li><li>Table S4. Summary of parameters for the regression model</li><li>Table S5. Average monthly solar irradiation for three cities</li><li>Figure S1. Regression line for each of the PV power plants</li></ul>
Supplementary Material for "Cost-Efficient Construction of Performance Models"
<p><strong>Overview</strong></p> <p>The main contribution of the paper is a novel approach to ease the performance modeling process by introducing a pre-processing step that automatically determines performance-irrelevant configuration options and removes them from the remaining modeling process. We show that our identification process can accurately identify performance-irrelevant options using Pace3D, a multi-physics simulation, as case study. </p> <p>As Pace3D is proprietary software to which we are granted access to, we cannot provide an executable. Therefore, it is not possible to repeat measurements of the software. We do, however, provide our collected measurement data, including logs of our conducted experiments and inputs used, as well as performance models created. The measurement data can be used to reproduce the learning of models using DECART. Furthermore, the evaluation data shows the runtime difference between configurations. </p> <p>DECART is available for download here: https://github.com/jmguo/DECART/</p> <p><strong>Structure</strong></p> <p>- training-data: Input configurations and measurement data used for training models.<br>- models: DECART models.<br>- evaluation-data: Input configurations and measurement data for evaluating the models.<br>- questionnaire: Filled questionnare by the Pace3D developer.</p>
Dataset of "Influence of the used solvent on the efficiency of the extraction of cathode materials for direct recycling"
<p>Lithium-ion batteries are playing an increasingly significant role in modern mobility and energy storage. Their increasing quantity and the limited amount of material resources available on earth will place great demands on the most efficient recycling in the future. In this paper, we focused on the first stage of the so-called direct recycling, i.e. the extraction of electrode material from the current collector, using six types of solvents in combination with three types of the most commonly used cathode materials in lithium-ion batteries. Three selected lithium-ion batteries were aged for 500 cycles and disassembled for the next step - cathode material extraction. The extraction was carried out by a method that is least energy intensive, cost effective and preserves the structural stability of the cathode materials after extraction. Of the used solvents, Dimethylacetamide (DMAC) was found to be the most effective solvent for the extraction. At the same time, Dimethylsulfoxide (DMSO) was the most effective solvent in terms of solvents considered to be biologically harmless. The study also included an analysis of the degradation of the cathode materials after their extraction from the current collector. It was found that all materials remained stable even one month after the extraction.</p>
An efficient method for higher heating value estimation of municipal solid wastes electronic supplementary material
<p><span><span>To facilitate the disposal of municipal solid wastes (MSWs) via thermo-chemical approaches, the accurate measurement of MSWs' higher heating value (HHV) plays a key role. This study aims to forecast the HHV of MSWs using the optimized multi-variate grey model (OBGM (1, N)) due to its high accuracy under the condition of scanty data. Results show that POBGM (1, 5) with proximate analysis data is the most accurate model with the least error of 5.41% MAPE (mean absolute percentage error). This model also illustrates that ash is the most important factor affecting HHV due to its significant fraction in MSWs, followed by volatiles, fixed carbon and water contents, respectively. With prediction interval (PI) method, most of the actual data can be included by using the 95% confidence intervals.</span></span></p>
Supporting materials for the article "Neutral atomic hydrogen as an efficient catalyst for interstellar formation of adenine and guanine"
<p>The data files contain the computed atomic coordinate data of all optimized molecular structures in the standard XYZ chemical file format. </p> <p>The PDF file contains 1) the potential diagrams of reaction paths for producing adenine and guanine from H-catalyzed reactions between h-pyrimidine-2-one and (cyanamide or carbodiimide), and 2) the IR and electronic adsorption spectra of intermediates, as well as 3) a detailed description to the aformentioned data files.</p>
Supporting materials for the article "Neutral atomic hydrogen as an efficient catalyst for interstellar formation of adenine and guanine"
<p>The data files contain the computed atomic coordinate data of all optimized molecular structures in the standard XYZ chemical file format. </p> <p>The PDF file contains 1) the potential diagrams of reaction paths for producing adenine and guanine from H-catalyzed reactions between h-pyrimidine-2-one and (cyanamide or carbodiimide), and 2) the IR and electronic adsorption spectra of intermediates, as well as 3) a detailed description to the aformentioned data files.</p>
Supplementary material 7 from: {"en": "Buchner D, Haase P, Leese F (2021) Wet grinding of invertebrate bulk samples – a scalable and cost-efficient protocol for metabarcoding and metagenomics. Metabarcoding and Metagenomics 5: e67533. https://doi.org/10.3897/mbmg.5.67533"}
Figure S2. Baseline-corrected amplification curves (left half) and melting -curves (right half) for A & B) kick-net samples and C & D) malaise trap samples
An efficient method for higher heating value estimation of municipal solid wastes electronic supplementary material
Open the record for dataset details and reuse information.
Database of the ODYM-RECC v2.2 model, used for the UN IRP report on material efficiency and climate change mitigation
<p>This dataset contains the 56 model input parameter and the master classification file that were read into the ODYM-RECC model v2.2 to generate the scenarios on material efficiency and climate change mitigation reported in "Resource Efficiency and Climate Change: Material Efficiency Strategies for a Low-Carbon Future. Hertwich, E., Lifset, R., Ali, S., Pauliuk, S., Heeren, Tu, Q. A report of the International Resource Panel. United Nations Environment Programme, Nairobi, Kenya.".</p>
Cu(II) and Ni(II) Phthalocyanine-Based Hole-Transporting Materials for Stable Perovskite Solar Cells with Efficiencies Reaching 20.0%
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Supplementary material 4 from: {"en": "Buchner D, Haase P, Leese F (2021) Wet grinding of invertebrate bulk samples – a scalable and cost-efficient protocol for metabarcoding and metagenomics. Metabarcoding and Metagenomics 5: e67533. https://doi.org/10.3897/mbmg.5.67533"}
Table S3
Supplementary material 6 from: {"en": "Buchner D, Haase P, Leese F (2021) Wet grinding of invertebrate bulk samples – a scalable and cost-efficient protocol for metabarcoding and metagenomics. Metabarcoding and Metagenomics 5: e67533. https://doi.org/10.3897/mbmg.5.67533"}
Figure S1. Pictures were taken with a digital microscope (Keyence VHX-6000, Keyence, Osaka, Japan)
Supplementary material 1 from: {"en": "Buchner D, Haase P, Leese F (2021) Wet grinding of invertebrate bulk samples – a scalable and cost-efficient protocol for metabarcoding and metagenomics. Metabarcoding and Metagenomics 5: e67533. https://doi.org/10.3897/mbmg.5.67533"}
Protocol 1 – DIY-DS
Supplementary material 3 from: {"en": "Buchner D, Haase P, Leese F (2021) Wet grinding of invertebrate bulk samples – a scalable and cost-efficient protocol for metabarcoding and metagenomics. Metabarcoding and Metagenomics 5: e67533. https://doi.org/10.3897/mbmg.5.67533"}
Table S2. Raw read table
Supplementary material 2 from: {"en": "Buchner D, Haase P, Leese F (2021) Wet grinding of invertebrate bulk samples – a scalable and cost-efficient protocol for metabarcoding and metagenomics. Metabarcoding and Metagenomics 5: e67533. https://doi.org/10.3897/mbmg.5.67533"}
Table S1. PCR primers used in this study
Supplementary material 8 from: {"en": "Buchner D, Haase P, Leese F (2021) Wet grinding of invertebrate bulk samples – a scalable and cost-efficient protocol for metabarcoding and metagenomics. Metabarcoding and Metagenomics 5: e67533. https://doi.org/10.3897/mbmg.5.67533"}
Figure S3
Supplementary material 5 from: {"en": "Buchner D, Haase P, Leese F (2021) Wet grinding of invertebrate bulk samples – a scalable and cost-efficient protocol for metabarcoding and metagenomics. Metabarcoding and Metagenomics 5: e67533. https://doi.org/10.3897/mbmg.5.67533"}
Script 1
Supplementary material 1 from: Gjonov I (2022) An automated procedure ten times more efficient in cutting labels for entomological collections. Nota Lepidopterologica 45: 133-137. https://doi.org/10.3897/nl.45.81451
Template file
Supplementary material 1 from: Bradshaw CJA, Doube A, Scanlon A, Page B, Tarran M, Fielder K, Andrews L, Bourne S, Stevens M, Schulz P, Kloeden T, Drewer S, Matthews R, Findlay C, White W, Leehane C, Conibear B, Doube J, Rowley T (2023) Aerial culling invasive alien deer with shotguns improves efficiency and welfare outcomes. NeoBiota 83: 109-129. https://doi.org/10.3897/neobiota.83.100993
Supplementary information
ScienceDex guides
Understand access before you commit
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.