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615 results for “tuning”
Experimental data supporting the paper "Rep structures can be tuned by ionicity via metastable intermediates in the absence of DNA"
<p>experimental data sets for our paper on the conformational dynamics of Rep helicase "Rep structures can be tuned by ionicity via metastable intermediates in the absence of DNA"</p>
Heterogeneous orientation tuning in primary visual cortex of mice diverges from Gabor-like receptive fields in primates
<div> <h2>Data for the Fu et al. (2024) article: 'Heterogeneous orientation tuning in primary visual cortex of mice diverges from Gabor-like receptive fields in primates'</h2> <p> </p> </div> <div> <h3>Summary</h3> </div> <p>Here we provide the complete data for the article Fu et al., 2024 'Heterogeneous orientation tuning in primary visual cortex of mice diverges from Gabor-like receptive fields in primates': include link.</p> <p>The mouse datasets consists of X individual datasets (i.e. recording scans) of calcium activity of L2/3 and L4 neurons in mouse V1. All datasets were acquired using two-photon imaging of awake, head-fixed mice.</p> <p>The monkey dataset has already been published <a href="https://figshare.com/collections/Monkey_V1_and_V4_single-cell_responses_to_natural_images_ephys_Data_from_Cadena_et_al_2024_/6658331/2">here</a>.</p> <div> <h3>Repository structure</h3> </div> <p>The datasets are divided into different experimental paradigms.</p> <p><strong>Imagenet scans</strong> (starting with "static*.zip": contain the neuronal activity in response to grayscale naturalistic images. We used these scans for training deep convolutional neural networks to learn an <em>in-silico</em> model of the recorded neuronal population and to optimize MEIs as well as optimal Gabors. The file "ImageNet_Data_Structure.md" contains detailed information about the content of the files.</p> <p><strong>Dotmap and orientation scans </strong>("dataset_*.pkl"): These scans include two types of stimuli: 1) A sparse noise paradigm for mapping receptive fields of visual neurons. 2) Small patches of drifting gratings to study the orientation tuning selectivity at sub receptive field scale of mouse V1 neurons. The file "RFMapping_Orientation_Data_Structure.md" contains information about the content of the files.</p> <div> <h3>Related Repositories</h3> </div> <p>We used the following Github repositories for analysis, which are all publicly available:</p> <ul> <li>Processing of the calcium data: <a href="https://github.com/cajal/pipeline">https://github.com/cajal/pipeline</a></li> <li>Model training of mouse datasets: <a href="https://github.com/sinzlab/nnidentify">https://github.com/sinzlab/nnidentify</a></li> <li>MEI optimization: <a href="https://github.com/sinzlab/mei/tree/inception_loop">https://github.com/sinzlab/mei/tree/inception_loop</a></li> <li>Gabor optimization: <a href="https://github.com/mohammadbashiri/fitgabor">https://github.com/mohammadbashiri/fitgabor</a></li> </ul>
Tuning the macroligand environment of a solid ruthenium phosphine catalyst for the hydrogenation of CO2 to formate
<p>This dataset contains all raw data to the manuscript "Tuning the macroligand environment of a solid ruthenium phosphine catalyst for the hydrogenation of CO2 to formate" of Arne Nisters, Nils Heim, Marcus Rose.</p>
Modeling fluid flow in ship systems for controller tuning using an artificial neural network
<p>Dataset used to develop ANN NARX models</p>
Exploiting Fluoropolymers Immiscibility to Tune Surface Properties and Mass Transfer in Blend Membranes for Membrane Contactor Applications: dataset
<p>This is the dataset related to the article published in ACS Applied Polymer Materials <strong>2019</strong>, <em>1</em> (3), pp 326–334</p> <p>Exploiting Fluoropolymers Immiscibility to Tune Surface Properties and Mass Transfer in Blend Membranes for Membrane Contactor Applications</p> <p>DOI 10.1021/acsapm.8b00105</p>
Data for "In-situ strain tuning in hBN-encapsulated graphene electronic devices"
<p>Data for the publication "In-situ strain tuning in hBN-encapsulated graphene electronic devices"</p>
Precise Tuning of Regional Hydrological LSTM Networks
<div> <div>This data is for paper: "Precise Tuning of Regional Hydrological LSTM Networks: Simultaneous Systematic Random Search Optimization" by F. Hosseini et al. (Preprint)</div> <div>"<strong>Hyperparameter Optimization of Regional Hydrological LSTMs by Random Search: A Case Study from Basque Country, Spain</strong>" (Accepted on 29th Aug 2024) J.Hydro, Hosseini, et al., 2024.</div> <div> </div> <div>Codes to run and reproduce the results and figures can be found here: https://github.com/farzadhoseini/Precise_Tuning_of_Regional_Hydrological_LSTM_Networks</div> </div>
Black-box Membership Inference Attacks against Fine-tuned Diffusion Models
<p>We have provided some fine-tuned model checkpoints and datasets to help readers reproduce the experiments presented in the paper.</p>
Experimental result data for PDCBO based building controller tuning
Open the record for dataset details and reuse information.
Data Supporting The Paper 'Fine-tuned spatiotemporal dynamics of DNA replication during phage lambda infection'
<p>The dataset includes raw images, source code, raw vectors saved from MATLAB, and curated data used to generate figures and analyses in the paper <strong>'Fine-tuned spatiotemporal dynamics of DNA replication during phage lambda infection'</strong> by Z. Yu, et al.</p> <p>Additional information about the experiments will be available upon request. </p>
Experimental data used in the article entitled "Tuning the defects density in additively manufactured fcc aluminium alloy via modifying the cellular structure and post-processing deformation"
Open the record for dataset details and reuse information.
"Fruity" Dye-based Fluorescent Nanoparticles (dFONs): A Fully Organic Counterpart of Alloy and Core-Shell Metallic Nanoparticles. Tuning Topology to Maximize Nano-interfacial Promoted Fluorescence Enhancement
<p>Data set related to the production of the figures in the article "“Fruity” Dye-based Fluorescent Nanoparticles (dFONs): A Fully Organic Counterpart of Alloy and Core-Shell Metallic Nanoparticles. Tuning Topology to Maximize Nano-interfacial Promoted Fluorescence Enhancement" by Kurek et al.</p> <p> </p> <p>The data are in txt, lif and opju format, organised by figure and sub-figures and compressed. </p>
One size does not fit all: Tuning eDNA protocols for high and low turbidity water sampling
<p class="abstract_para">Findings from eDNA metabarcoding are strongly influenced by experimental approach, yet the effect of pre‐PCR sample processing on taxon detection and estimates of biodiversity across different water types is still poorly resolved. To fill this data gap, we investigated the impact of sampling effort, extraction method, and filter pore size on DNA yield, PCR inhibition, and 16S rDNA metabarcoding results for fishes in water samples collected from inshore turbid‐ and offshore clear‐water environments. The turbid‐water samples had high concentrations of suspended organic and/or inorganic material and yielded ~3.2× more DNA and exhibited high levels of PCR inhibition compared with the low‐turbidity, clear‐water samples. Importantly, there were no striking differences in the results of our metabarcoding experiments based on extraction method or filter pore size. While a small number of unique species of relatively low read count were detected in all turbid‐water treatments, most species were consistently detected across samples. Results for the clear‐water samples were strikingly different, with low DNA yield, high levels of variation across replicates, and a high number of non‐overlapping species across treatments. These findings indicate a patchy distribution of eDNA in offshore environments, which means higher volumes of water (≥ 2 L per replicate) must be filtered in habitats where target DNA is likely to be sparse. In semi‐closed systems such as estuaries, higher concentrations of target DNA are expected, and we found that either a 1.0 or 3.0 µm filter pore size was sufficient to capture standing diversity, while decreasing the risk of clogging. For economical DNA extraction and inhibitor removal, we recommend a combination of Omega Bio‐tek E.Z.N.A Tissue DNA kit followed by a PCR inhibitor removal step using the Zymo Kit. Finally, we emphasize that pilot studies should be undertaken whenever sampling in a new environment to identify which protocol is most appropriate.</p>
In situ tuning of dynamical Coulomb blockade in hybrid nanowire devices
<p>This repository contains the raw data and processing Python scripts corresponding to the paper "In situ tuning of dynamical Coulomb blockade in hybrid nanowire devices"</p>
Robust full-spectral color tuning of photonic colloids
<p><strong>Research Data supporting “</strong><strong>Robust full-spectral color tuning of photonic colloids</strong><strong>”</strong></p> <p>Andrea Dodero, Kenza Djeghdi, Viola Bauernfeind, Martino Airoldi, Bodo D. Wilts, Christoph Weder, Ullrich Steiner, Ilja Gunkel</p> <p><strong><em>Small</em></strong>, DOI: <a href="https://doi.org/10.1002/smll.202205438">10.1002/smll.202205438</a></p> <p>The data are arranged into different folders, containing the following files (.txt, .tif, .xlxs, etc). These data should be read in conjunction with the manuscript and “Supporting Info”, both of which may be found at the following DOI: <a href="https://doi.org/10.1002/smll.202205438">10.1002/smll.202205438</a></p>
Practical Course Report - Profiling and Tuning of Large Functional Programs
<p>Monomorphization extra materials.</p>
Raw data supporting: Augmenting the Performance of Hydrogenase for Aerobic Photocatalytic Hydrogen Evolution via Solvent Tuning
<p>Raw experimental data supporting the article "Augmenting the Performance of Hydrogenase for Aerobic Photocatalytic Hydrogen Evolution <em>via</em> Solvent Tuning"</p>
Analysis and Data of "Adaptive tuning of human learning and choice variability to unexpected uncertainty"
<p>Data and analysis scripts in "Adaptive tuning of human learning and choice variability to unexpected uncertainty". See https://github.com/jlexternal/RLVOLUNP_ana for directory structure. </p>
Source Data for "Shape control in 2D molecular nanosheets by tuning anisotropic intermolecular interactions and assembly kinetics"
<p>This folder contains source data for figures of the paper "Shape control in 2D molecular nanosheets by tuning intermolecular interactions and assembly kinetics" (https://doi.org/10.1038/s41467-023-37203-7).</p>
Supplementary data for eEDM study in thesis 'Low energy observables and fine-tuning in the MSSM'
<p>For the eEDM study in Chapter 5 of the thesis 'Low energy observables and fine-tuning in the MSSM' we have created several input sets, one for each run. These can be found as 'input_iter[x].csv' and are used to created a SPheno input file. The code to run all the software is found in the directory 'Spheno_to_eEDM'. A description of this code can be found in the thesis (DOI will follow upon succesful defense).</p> <p>For each iteration we have gathered the relevant output (masses, couplings, mixing matrices, observables, fine-tuning etc) from the different output files. These are stored in csv files, gathered in eEDMdata.tar . One line in the output file corresponds to one line in the original input file, where the directory name (dir_name) in the output file is the same as the index of the input file. This is one data point of the study.</p>
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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.