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376 results for “scalable”
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
Reproducibility and Scalability of Magnetic Nanoheater Synthesis - Supplementary Information
<p>The following are available online at <a href="https://www.mdpi.com/article/10.3390/nano11082059/s1">https://www.mdpi.com/article/10.3390/nano11082059/s1</a>: Experimental procedures for the characterization of MNP’s and comparison among the scaled and the standard experiment. Figure S1. Temperature profiles for the scaled-up experiments; Figure S2. Measurements of the successive AMF heating and cooling cycles for selected samples, showing the effects of the progressive destabilization of the colloids; Figure S3. XRD diffraction patterns of all samples; Figure S4. Hysteresis cycles at room temperature of all the samples as measured and corrected for the content of organic matter measured by TG-ATD; Figure S5. Particle size distributions of all the samples and solvodynamic size distributions of their dispersions in toluene determined by PCS in number and in volume; Figure S6. Results of the magnetothermal experiments at 286 kHz 18 kA/m and 92 kHz 50 kA/m for all the samples. Table S1. Average parameters of the temperature profiles for each boiling time, averages of all the experiments, and their repeatability; Table S2. Experimental data of scaled-up samples. Reproducibility r = (1 − σ/x¯) · 100. Error of the average: 1.96 · σ/√N (95% confidence). N = 6.</p>
Data. PanSpace: Fast and Scalable Indexing for Massive Bacterial Databases
<p>Best model</p>
Figure 1 from: Haston E, Cubey R, Pullan M, Atkins H, Harris D (2012) Developing integrated workflows for the digitisation of herbarium specimens using a modular and scalable approach. ZooKeys 209: 93-102. https://doi.org/10.3897/zookeys.209.3121
Figure 1 - Diagrammatic overview of the digitisation workflows at the Royal Botanic Garden Edinburgh (RBGE)
Scalability for SAT-based combinatorial problem solving - Results
<p>The experimental results for the referenced thesis.</p>
Block copolymer binders with hard and soft segments for scalable fabrication of sulfide-based all-solid-state batteries
<p>Sulfide-based all-solid-state batteries (ASSBs) have attracted much attention owing to their superior safety and potentially high-energy density. Nevertheless, sulfide-based ASSBs suffer from limited performance in terms of their cycle life and rate capability, which is closely related to interfacial degradation during cycling. Another weakness is the absence of manufacturing protocols. Having noted that the binder can play a pivotal role in both the cell performance and scale-up, here, we report poly(1,2-butadiene)-<em>b</em>-poly(methyl methacrylate) (PBD-<em>b</em>-PMMA) block copolymers as the binders. At the optimal ratio, the soft PBD segments and hard PMMA segments work synergistically to strengthen adhesion among particles in the electrode and introduce elasticity in the binder network, enabling the key battery performance indicators to be improved markedly. The systematic study also reveals the importance of the microscopic distributions of these two segments. This study signifies the appropriate combination of adhesion and elasticity in designing binders for sulfide-based ASSBs.</p>
Conveyor-mode single-electron shuttling in Si/SiGe for a scalable quantum computing architecture
<p>Dataset and Code for the Paper: Conveyor-mode single-electron shuttling in Si/SiGe for a scalable quantum computing architecture</p>
DeSQL: Interactive Debugging of SQL in Data-Intensive Scalable Computing
<p>Anonymous Anonymous Anonymous</p>
Precise and scalable self-organization in mammalian pseudo-embryos (v1)
<p>This is a test of a dataset repository on the Sandbox version of Zenodo with the main immunofluorescence data analyzed in the paper <em>Precise and scalable self-organization in mammalian pseudo-embryos</em> (<a href="https://arxiv.org/abs/2303.17522">https://arxiv.org/abs/2303.17522</a>).<br> Each folder corresponds to an experiment. The name indicates to which figures it was used in in the paper.<br> Each subfolder corresponds to a plate of gastruloids and contain the max projections of each individual gastruloid in .tif. Raw .czi available under request.</p> <p>See <a href="https://gitlab.pasteur.fr/tglab/gastruloids_precisionandscaling">https://gitlab.pasteur.fr/tglab/gastruloids_precisionandscaling</a> for an example of image analysis pipeline.</p>
Scalable Non-Volatile Tuning of Photonic Computational Memories by Automated Silicon Ion Implantation - Supporting Information
<p>Photonic integrated circuits (PICs) are revolutionizing the realm of information technology, promising unprecedented speeds and efficiency in data processing and optical communication. However, the nanoscale precision required to fabricate these circuits at scale presents significant challenges, due to the need to maintain consistency across wavelength-selective components, which necessitates individualized adjustments after fabrication. Harnessing spectral alignment by automated silicon ion implantation, in this work scalable and non-volatile photonic computational memories are demonstrated in high-quality resonant devices. Precise spectral trimming of large-scale photonic ensembles from a few picometers to several nanometres is achieved with long-term stability and marginal loss penalty. Based on this approach, spectrally aligned photonic memory and computing systems for general matrix multiplication are demonstrated, enabling wavelength multiplexed integrated architectures at large scales.</p>
Scalable High-Precision Trimming of Photonic Resonances by Polymer Exposure to Energetic Beams - Supportive Information
<p>Integrated photonic circuits (PICs) have seen an explosion in interest, through to commercialization in the past decade. Most PICs rely on sharp resonances to modulate, steer, and multiplex signals. However, the spectral characteristics of high-quality resonances are highly sensitive to small variations in fabrication and material constants, which limits their applicability. Active tuning mechanisms are commonly employed to account for such deviations, consuming energy and occupying valuable chip real estate. Readily employable, accurate, and highly scalable mechanisms to tailor the modal properties of photonic integrated circuits are urgently required. Here, we present an elegant and powerful solution to achieve this in a scalable manner during the semiconductor fabrication process using existing lithography tools: by exploiting the volume shrinkage exhibited by certain polymers to permanently modulate the waveguide’s effective index. This technique enables broadband and lossless tuning with immediate applicability in wide-ranging applications in optical computing, telecommunications, and free-space optics.</p>
Transforming Adolescent Mental Health Through Accessible, Scalable, Technology-supported Small-group Instruction
ClinicalTrials.gov study NCT05860257. IPD Sharing: YES. Countries: 1. Publications: 0.
Mobile and Scalable Innovations for Measles Immunization: a Randomized Controlled Trial
ClinicalTrials.gov study NCT02904642. IPD Sharing: NO. Countries: 0. Publications: 3.
Scalable Public Health Empowerment, Research, and Education Sites (SPHERES)
ClinicalTrials.gov study NCT07126041. IPD Sharing: NO. Countries: 1. Publications: 0.
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.