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2,885 results for “Transfers”
dataset of pore-scale CO2-brine interfacial mass transfer in mibibition
<p>dataset of pore-scale CO2-brine interfacial mass transfer in mibibition.</p>
Are neural network potentials trained on liquid states transferable to crystal nucleation? A test on ice nucleation in the mW water model
<p>Dataset used to train the neural network potential for reproducing mW nucleation.</p>
Novel Use of a Gas Transfer Membrane Contactor Inhibits Legionella pneumophila Growth in Hot Water Systems
<p>Large Scale Hot Water Model System Measurement Data Summary</p>
Electron-transfer-enabled concerted nucleophilic fluorination of azaarenes: selective C–H fluorination of quinolines
<p>NMR FID data</p>
Supplementary data to the paper: Automatic Extraction of Anthropometric Features for the Individualization of the Pinna-Related Transfer Function in the Median Plane
<p>Supplementary research data to the paper (rejected):</p> <blockquote> <p>Davide Fantini, Federico Avanzini, Stavros Ntalampiras and Giorgio Presti (2023) "Automatic Extraction of Anthropometric Features for the Individualization of the Pinna-Related Transfer Function in the Median Plane"</p> </blockquote> <p>The repository includes the research data generated and analyzed in the abovementioned paper describing a method for PRTF individualization. In particular, the following data are included:</p> <ul> <li><a href="../api/files/bf20ab4d-c913-4cd0-9357-3b4039f1affb/README.md">README.md</a>: instructions for the data</li> <li><a href="../api/files/bf20ab4d-c913-4cd0-9357-3b4039f1affb/pinna_range_img.mat">pinna_range_img.mat</a>: pinna range images extracted from the 3D head meshes of the <a href="https://depositonce.tu-berlin.de/items/dc2a3076-a291-417e-97f0-7697e332c960">HUTUBS dataset</a></li> <li><a href="../api/files/bf20ab4d-c913-4cd0-9357-3b4039f1affb/landmarks.mat">landmarks.mat</a>: landmarks coordinates both manually annotated and automatically placed with ASM</li> <li><a href="../api/files/bf20ab4d-c913-4cd0-9357-3b4039f1affb/anthropometry.mat">anthropometry.mat</a>: anthropometric parameters automatically extracted from both manually annotated and ASM-fitted landmarks</li> <li><a href="../api/files/bf20ab4d-c913-4cd0-9357-3b4039f1affb/img_features.mat">img_features.mat</a>: image features pinna cavities extracted from both manually annotated and ASM-fitted landmarks</li> <li><a href="../api/files/bf20ab4d-c913-4cd0-9357-3b4039f1affb/grnn_models.mat">grnn_models.mat</a>: Generalized Regression Neural Network (GRNN) models trained from both HUTUBS anthropometry and the proposed pinna features</li> <li><a href="../api/files/bf20ab4d-c913-4cd0-9357-3b4039f1affb/predicted_dtf.mat">predicted_dtf.mat</a>: Directional Transfer Function (DTF) sets predicted from both HUTUBS anthropometry and the proposed pinna features</li> <li><a href="../api/files/bf20ab4d-c913-4cd0-9357-3b4039f1affb/anthropometry_documentation.pdf">anthropometry_documentation.pdf</a>: documentation of the pinna anthropometric parameters</li> <li><a href="../api/files/bf20ab4d-c913-4cd0-9357-3b4039f1affb/auditory_model_complete_elevation_range.pdf">auditory_model_complete_elevation_range.pdf</a>: auditory model evaluation in the complete elevation range</li> </ul> <p>The data are provided in the Matlab file format MAT. Nevertheless, the MAT files can be read with other programming languages, such as Python (<a href="https://docs.scipy.org/doc/scipy/reference/generated/scipy.io.loadmat.html">scipy.io.loadmat</a>).</p> <p>A GitHub repository to automatically extract the pinna landmarks and features as described in the paper is available <a href="https://github.com/DavideFantini/pinna-landmarks-fitting-and-anthropometry-extraction" target="_blank" rel="noopener">here</a>.</p>
Data on technology transfer in Google Academic, Dimension, SpringerLinky and ScienceDirect
These data correspond to the search carried out for the analysis of trends on technology transfer (TT) of the project whose objective is: to develop a methodology for technology transfer (TT), based on descriptive research, with a longitudinal design through the collection of data over time in an express period to make inferences regarding the change, on the characteristics of the scientific production on TT. With the trend obtained, and the search in other databases, the dimensions, variables and indicators, associated with the context, will be determined for subsequent validation by experts and the use of other information science resources.
A federated learning framework based on transfer learning and knowledge distillation for targeted advertising-Ad Display/Click Data on Taobao.com dataset
<p>https://tianchi.aliyun.com/dataset/56</p>
Dataset for 'Favorable trade-off between heat transfer and pressure drop in 3D printed baffled logpile catalyst structures'
<p>This data set was used to generate the results in the paper 'Favorable trade-off between heat transfer and pressure drop in 3D printed baffled logpile catalyst structures', published in Chemical Engineering Research and Design by Leon R.S. Rosseau, Jord T.A. Jansen, Ivo Roghair and Martin van Sint Annaland (https://doi.org/10.1016/j.cherd.2023.06.046).<br> The data is ordered first by configuration, then by gap spacing and finally by relative baffle length (if applicable). The heatrun case folders contain the temperature, wall-heat flux and velocity distributions at steady state with heated walls. The rtdrun case folders contain the pressure and velocity distributions at steady state without heated walls. The E-curve sampling is available as numpy array, as the storage requirements for all of the individual time steps are too high.</p> <p>This data set and the corresponding paper are based on research undertaken in relation to a project (ZEOCAT-3D) which has received funding from the European Union’s Horizon 2020 research and innovation program, under Grant Agreement No. 814548. The authors would like to thank the EU Horizon 2020 program for this opportunity. This publication only reflects the author’s views and neither the funding Agency nor the European Commission are responsible for any use that may be made of the information contained therein.<br> This work made use of the Dutch national e-infrastructure with the support of the SURF Cooperative using grant no. EINF-1478 and grant no. EINF-3116.</p>
Fig. 3 in Insights on the antiradical capacity and mechanism of phytocannabinoids: H-abstraction and electron transfer processes in physiological media and the influence of the acid-base equilibrium
Fig. 3. Acid-base equilibrium of phytocannabinoids in water at physiological pH (7.4).
Fig. 1 in Insights on the antiradical capacity and mechanism of phytocannabinoids: H-abstraction and electron transfer processes in physiological media and the influence of the acid-base equilibrium
Fig. 1. Molecular structure and atomic numbering of the investigated phytocannabinoids.
Figures 74–75. Dorsal habitus. 74 in New species, synonymies and transfers in Neotropical Lamiinae (Coleoptera: Cerambycidae)
Figures 74–75. Dorsal habitus. 74) Anisopodus conspersus Aurivillius, 1922, syntypes, (photo by Jesus Santiago Moure). 75) Leiopus floccidus Erichson, 1847, holotype, (photo by John Chemsak).
Fig. 2 in Pilot study on the uptake and modification of harmaline in acceptor plants: An innovative approach to visualize the interspecific transfer of natural products
Fig. 2. Structures of the two indole alkaloids harmaline and harmine.
Fig. 5 in Pilot study on the uptake and modification of harmaline in acceptor plants: An innovative approach to visualize the interspecific transfer of natural products
Fig. 5. Scheme of translocation and conversion of harmaline in the barley leaves.
Detecting Chirality-Induced Spin Selectivity in Randomly Oriented Radical Pairs Photogenerated by Hole Transfer. Open data set
<p>Data supporting the original figures 2 through 7 of the related publication.</p>
Ipilimumab With Lymphodepletion Plus Adoptive Cell Transfer and High Dose IL-2 in Melanoma Mets Pts
ClinicalTrials.gov study NCT01701674. IPD Sharing: Not stated. Countries: 1. Publications: 0.
AC6 Gene Transfer in Patients With Reduced Left Ventricular Ejection Fraction Heart Failure
ClinicalTrials.gov study NCT03360448. IPD Sharing: UNDECIDED. Countries: 0. Publications: 1.
Fecal Microbiota Transfer to Improve Diabetes Control Post-bariatric Surgery
ClinicalTrials.gov study NCT06192693. IPD Sharing: YES. Countries: 1. Publications: 0.
Safety Study of a Dual Anti-HIV Gene Transfer Construct to Treat HIV-1 Infection
ClinicalTrials.gov study NCT01734850. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Effect of Transfer Energy Capacitive Resistive Therapy on Shoulder Pain and Function in Shoulder Impingement Syndrome
ClinicalTrials.gov study NCT06595641. IPD Sharing: UNDECIDED. Countries: 0. Publications: 3.
Effect of Timing Progesterone Luteal Support on Embryo Transfer
ClinicalTrials.gov study NCT03040830. IPD Sharing: Not stated. Countries: 0. Publications: 2.
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.