Find research datasets worth reusing

opencc-by-4.0May 2020View details →

DATA: A thalamic reticular circuit for head direction cell tuning and spatial navigation

As we navigate in space, external landmarks and internal information guide our movement. Circuit and synaptic mechanisms that integrate these cues with head-direction (HD) signals remain, however, unclear. We identify an excitatory synaptic projection from the presubiculum (PreS) and the multisensory-associative retrosplenial cortex (RSC) to the anterodorsal thalamic reticular nucleus (TRN), so far classically implied in gating sensory information flow. In vitro, projections to TRN involve AMPA/NMDA-type glutamate receptors that initiate TRN cell burst discharge and feedforward inhibition of anterior thalamic nuclei. In vivo, chemogenetic anterodorsal TRN inhibition modulates PreS/RSC-induced anterior thalamic firing dynamics, broadens the tuning of thalamic HD cells, and lead to preferential use of allo- over egocentric search strategies in the Morris water maze. TRN-dependent thalamic inhibition is thus an integral part of limbic navigational circuits wherein it coordinates external sensory and internal HD signals to regulate the choice of search strategies during spatial navigation.

dryad24/100

Tuning cell behavior with nanoparticle shape

We investigated how the shape of polymeric vesicles, made by the exact same material, impacts the replication activity and metabolic state of both cancer and non-cancer cell types. First, we isolated discrete geometrical structures (spheres and tubes) from a heterogeneous sample using density-gradient centrifugation. Then, we characterized the cellular internalization and the kinetics of uptake of both types of polymersomes in different cell types (either cancer or non-cancer cells). We also investigated the cellular metabolic response as a function of the shape of the structures internalized and discovered that tubular vesicles induce a significant decrease in the replication activity of cancer cells compared to spherical vesicles. We related this effect to the significant up-regulation of the tumor suppressor genes p21 and p53 with a concomitant activation of caspase 3/7. Finally, we demonstrated that combining the intrinsic shape-dependent effects of tubes with the delivery of doxorubicin significantly increases the cytotoxicity of the system. Our results illustrate how the geometrical conformation of nanoparticles could impact cell behavior and how this could be tuned to create novel drug delivery systems tailored to specific biomedical application.

opencc-zeroOct 2020View details →

restrictedDec 2020View details →

Tap & Fiddle: a Dataset with Scandinavian Fiddle Tunes with Accompanying Foot-Tapping

The Tap & Fiddle consists of 28 stereo recordings of traditional Scandinavian fiddle tunes with accompanying foot-tapping, which is standard performance practice within these musical styles. Its corpora contains not only the mixed signals, but also the two isolated instrumental tracks that can be used as ground-truths for music source separation algorithms. <ol> <li>The fiddle track (harmonic track);</li> <li>The foot-tapping track (percussive track).  </li> </ol> Foot-tapping is very often an integral part of the musical expression in Scandinavian fiddle music as a percussive accompaniment. For instance, some studies have shown that the dance beat of the music can even be unintelligible without the foot-tapping part [1]. Notwithstanding, foot-tapping in performance of fiddle music has not been systematically studied yet. Hence, apart from contributing to the music source separation community, we hope that the release of Tap & Fiddle can also bring contributions to researchers and enthusiasts working with analysis of fiddle music as well as studies of metrical expression in music in general. Audio and Repertoire Characteristics: The set contains recordings of different dance types, including Norwegian Halling music, with straight single and double tapping as well as Swedish polska tunes, where tapping is considerably scarcer with tapping on beat 1 and 3 in 3-beat time being the most common way to tap.  The sound of the foot-tapping ranges from more soft foot-tapping produced by a sock-covered foot, to sharp, distinct and loud foot-tapping produced by shoes with hard heels on parquet. In addition, the loudness of the foot-tapping regardless of sound source in relation to the fiddle is varied between and within recordings. It is also important to note that some of the recordings in the dataset are variations of the same Scandinavian fiddle tune. Those recordings are versions containing different acoustic conditions and audio characteristics for the foot-tapping and/or for the violin sound within the same tune. Recording Methodology:  Each isolated signal was recorded by one fiddle player in a natural 30 m2 room with separate miking for the foot and the fiddle (violin), using close-up Shure SM-58 microphones and a Focusrite sound card recorded in Audacity on a Macbook PRO. The mixture signals were created by adding the two isolated signals together. All the recordings have been made using the same instrument, which was played by the same performer.  The audio files are uncompressed and saved as stereo ".wav" files with sampling frequency of 44100 Hz and 32 bits per sample. The average duration for a recording in Tap & Fiddle is 65 seconds, totalising around 65 x 28 = 30m 20s of full play time. The dataset is divided into a training set with 23 recordings and a test set with 5. We recommend that supervised approaches should be trained on the training set and tested on the test set. How to cite: If you use this dataset, please, provide the following citation in your work: <ul> <li>C. Lordelo, E. Benetos, S. Dixon, S. Ahlbäck and P. Ohlsson "Adversarial Unsupervised Domain Adaptation for Harmonic-Percussive Source Separation" in IEEE Signal Processing Letters 2020 (under review at time of this writing)</li> </ul>

opencc-by-4.0Jul 2024View details →

Data for Tuning Higher Order Structure in Colloidal Fluids

Representative confocal image data and LAMMPS script for Tuning Higher Order Structure in Colloidal Fluids

opencc-by-4.0Jul 2024View details →

Database of "Dynamic Design and Performance Prediction of Tuned Particle Damper Based on Co-simulation"

These data are obtained based on the co-simulation of ADAMS and EDEM. The first 7 columns are inputs and the last column is output.

opencc-by-4.0Dec 2022View details →

An epithelial cell-derived metabolite tunes immunoglobulin A secretion by gut resident plasma cells - Microbiome Analysis

Dataset and code to reproduce microbiome analysis for "An epithelial cell-derived metabolite tunes immunoglobulin A secretion by gut resident plasma cells" Abstract: Immunoglobulin A (IgA) secretion by plasma cells, terminally differentiated B cells residing in the intestinal lamina propria, assures microbiome homeostasis and protects the host against enteric infections. Exposure to diet-derived and commensal-derived signals provides immune cells with organizing cues that instruct their effector function and dynamically shape intestinal immune responses at the mucosal barrier. Recent data have described metabolic and microbial inputs controlling T cell and innate lymphoid cell activation in the gut; however, whether IgA-secreting lamina propria plasma cells are tuned by local stimuli is completely unknown. While antibody secretion is considered to be imprinted during B cell differentiation and therefore largely unaffected by environmental changes, a rapid modulation of IgA levels in response to intestinal fluctuations might be beneficial to the host. Here we showed that dietary cholesterol absorption and commensal recognition by duodenal intestinal epithelial cells lead to the production of oxysterols, evolutionarily conserved lipids with immunomodulatory functions. Using conditional CH25H deleter mouse line we demonstrated that 7a,25-HC from epithelial cells is critical to restrain IgA secretion against commensal and pathogen-derived antigens in the gut. Intestinal plasma cells sense oxysterols via the chemoattractant receptor GPR183 and couple their tissue positioning with IgA secretion.  Our findings revealed a new mechanism linking dietary cholesterol and humoral immune responses centered around plasma cell localization for efficient mucosal protection.

opencc-by-4.0Jul 2023View details →

Efficient Configuration Tuning for Big-Data Software Systems via Configuration Space Reduction

Efficient Configuration Tuning for Big-Data Software Systems via Configuration Space Reduction (Supplementary Material)

opencc-by-4.0Jul 2023View details →

Data presented in "Short tandem repeats bind transcription factors to tune eukaryotic gene expression"

Here you can find the data supporting the conclusions in "Short tandem repeats bind transcription factors to tune eukaryotic gene expression." The accompanying code repository can be found at https://doi.org/10.5281/zenodo.8161422.

opencc-by-4.0Sep 2023View details →

Med-ReLU: A Hybrid Activation Function Tailored for Deep Artificial Neural Networks in Medical Image Segmentation without Parameter Tuning

Background: Deep learning (DL) is derived from the domain of Artificial Neural Network (ANN). It makes one of the most important elements of deep learning algorithms. Deep learning segmentation models are based on layer-by-layer convolution learning attribute representation directed by forward and backward propagation. Throughout the process vital role is played by appropriately chosen activation function (AF) in order to guarantee the robustness of the model learning. However, the existing activation functions are either ineffective in addressing the vanishing gradient problem or get burdened with multiple parameters that need to be manually tuned. Moreover, the current research on activation function design mainly focuses on classification tasks using natural images from the MNIST, CIFAR-10 and CIFAR-100 datasets. Therefore,Med-ReLU as a novel activation function for medical image segmentation, is proposed. The proposed activation function avoids deep learning models from the attacks of dead neurons or from the vanishing gradient problems. Method: Med-ReLU is a hybrid activation function that combines the property of two activation functions of ReLU and Softsign. For positive inputs, Med-ReLU utilizes the linear property just like ReLU to produce an output without vanishing gradient. The negative inputs converge in polynomial ways towards their asymptotes as property of the softsign AF that ensures robust training processing without the problem of dead neurons that rarely activate across the entire training dataset. Results: The training performance and segmentation accuracy of Med-ReLU have been investigated. The proposed function has demonstrated stable training and does not suffer from over-fitting. Hence, Med-ReLU has consistently outperformed the existing state-of-art activation functions in medical image segmentation tasks. Conclusion: Med-ReLU has been designed as a parameter-free activation function for DL image segmentation tasks. This activation function is easy-to-implement on complex and deep learning models. The utility of this research lies in affirming the impact of Med-ReLU on different Artificial Neural Network architectures and for various kinds of anomaly addressing tasks.

Effects of Nicotine and Attention on Frequency Tuning in Auditory Cortex

ClinicalTrials.gov study NCT05018117. IPD Sharing: NO. Countries: 1. Publications: 0.

Vascular Optimized Radiotherapy Tuned to Critical Structures for Erectile Function Using High-Precision X-Ray Treatment

ClinicalTrials.gov study NCT07293585. IPD Sharing: NO. Countries: 1. Publications: 0.

Effectiveness and Acceptability of Remote Fine-Tuning of Hearing Aids in Danish Adults

ClinicalTrials.gov study NCT06992778. IPD Sharing: NO. Countries: 1. Publications: 0.

restrictedIPD-UNDECIDEDFeb 2026View details →

Development of a Standardized Reference Guide for Tuning Adherence to Dispense During a Initial Pharmaceutical Consulting (CP ) to the Patient With Multiple Myeloma Oral Chemotherapy Primocure

ClinicalTrials.gov study NCT04045561. IPD Sharing: Not stated. Countries: 0. Publications: 0.

Phase 1b, Open-label Study of Tune-401 to Assess Safety, PK and PD in Adults With Chronic Hepatitis B

ClinicalTrials.gov study NCT06671093. IPD Sharing: NO. Countries: 3. Publications: 0.

restrictedIPD-UNDECIDEDFeb 2026View details →

Study for the Artificial Pancreas Project : Determination of a Tuning Strategy of Metabolic Profiles

ClinicalTrials.gov study NCT01282567. IPD Sharing: Not stated. Countries: 1. Publications: 0.

restrictedIPD-UNDECIDEDFeb 2026View details →

Norwegian Tuning in to Kids Effectivity Study

ClinicalTrials.gov study NCT04651465. IPD Sharing: Not stated. Countries: 1. Publications: 0.