Find research datasets worth reusing

opencc-by-4.0Dec 2020View details →

Dataset from "In silico assessment of collateral eddy current heating in biocompatible implants subjected to magnetic hyperthermia treatments"

This dataset from the publication entitled "Dataset from "In silico assessment of collateral eddy current heating in biocompatible implants subjected to magnetic hyperthermia treatments" contains simulated data of magnetic hyperthermia treatments for three different indications: colorectal cancer, prostate cancer and head & neck cancer. Since the aim of the study is to evaluate the risk of thermal damage caused by the collateral heating of two common types of passive prostheses (hip and dental implants), eddy currents induced in these implants upon interacting with the externally applied ac field during treatment have been computed for all the evaluated regions. Two different alloys for the implants have been considered for each case as well: Ti6Al4V and CoCrMo. At the same time, besides temperature, the specific abosorption rate (SAR) have been also computed to work out the energy deposition in tissues. Calculations have been carried out using a het exchange model with and without thermoregulation. log-log SAR vs T plots have been obtained and proposed as a quick means to pre-check treatment feasibility in each patient. These graphs are thought to be included in treatment planning prior to the clinical procedure. Other parameters taken into account have been the treatment time (5 and 30 minutes), and the maximum tolerable temperature threshold (1 or 5 ºC, as indicated by the ICNIRP commission), all for three main types of tissues, namely fat, bone and muscle. Each tissue have been simulated using three different field intensities (5, 10 and 15 mT). The field frequency has been 300 kHz in all cases. The files "Dataset_description.doc" and "file_scheme.txt" contain the structure and description of the files that make up the dataset. UPDATES FROM PREVIOUS VERSIONS: simulations of the dental implant without thermoregulation have been added.

opencc-by-4.0Jan 2020View details →

Neurothreads: development of supportive carriers for mature dopaminergic neuron differentiation and implantation

Raw data for the publication: Neurothreads: development of supportive carriers for mature dopaminergic neuron differentiation and implantation

opencc-by-4.0Sep 2024View details →

Graphics for implanted brain-computer interfaces for communication and sensorimotor control applications.

Updated information from Nature Reviews Bioengineering, doi: 10.1038/s44222-024-00239-5. Current as of 27 September 2024. Please reference the original publication if using these graphics. As the field moves into the "Translational Era", the original publication reviews the clinical trials up to December 2023.

opencc-by-nc-4.0Aug 2022View details →

Data set of two dual-task paradigms to measure listening effort in cochlear implant users

This data set presents the data from the paper by Hendrikse, Dingemanse, & Goedegebure (2022). This study aimed to investigate the feasibility of using listening effort to measure relatively small differences in SNR, as would arise from different hearing-device settings. Listening effort was chosen, because there are indications in literature that listening effort may be more sensitive to differences between hearing-device settings than established speech intelligibility measures. Two behavioral listening effort tests were performed at two signal-to-noise ratios (SNRs) where the intelligibility was high. A sentence final word identification and recall test (SWIRT), and a sentence verification test (SVT) were compared with a group of 18 Dutch CI users. SWIRT measured the ability to recall the final words of sentences after a list of five or seven sentences was presented. The SVT measured the ability and reaction time to determine whether a sentence was true or false. Both tests were conducted in background noise at SNRs +4 dB and +8 dB above the 50% speech perception threshold. The structure of the data files is explained in the README file.

opencc-by-4.0Mar 2020View details →

Single-Photon Emitters in Lead-Implanted Single-Crystal Diamond

Single-Photon Emitters in Lead-Implanted Single-Crystal Diamond We report on the creation and characterization of Pb-related color centers in diamond upon ion implantation and subsequent thermal annealing. Their optical emission in the photoluminescence (PL) regime consists of an articulated spectrum with intense emission peaks at 552.1 and 556.8 nm, accompanied by a set of additional lines in the 535−700 nm range. The attribution of the PL emission to stable Pb-based defects is corroborated by the correlation of its intensity with the implantation fluence of Pb ions. PL measurements performed as a function of sample temperature (in the 143−300 K range) and under different excitation wavelengths (i.e., 532, 514, 405 nm) suggest that the complex spectral features observed in Pb-implanted diamond might be related to a variety of different defects and/or charge states. The emission of the 552.1 and 556.8 nm lines is reported at the single-photon emitter level, demonstrating that they originate from the same individual defect. This work follows from previous reports on optically active centers in diamond based on group-IV impurities, such as Si, Ge, and Sn. In perspective, a comprehensive study of this set of defect complexes could bring significant insight on the common features involved in their formation and opto-physical properties, thus offering a basis for the development of a new generation of quantum-optical devices.We report on the creation and characterization of Pb-related color centers in diamond upon ion implantation and subsequent thermal annealing. Their optical emission in the photoluminescence (PL) regime consists of an articulated spectrum with intense emission peaks at 552.1 and 556.8 nm, accompanied by a set of additional lines in the 535−700 nm range. The attribution of the PL emission to stable Pb-based defects is corroborated by the correlation of its intensity with the implantation fluence of Pb ions. PL measurements performed as a function of sample temperature (in the 143−300 K range) and under different excitation wavelengths (i.e., 532, 514, 405 nm) suggest that the complex spectral features observed in Pb-implanted diamond might be related to a variety of different defects and/or charge states. The emission of the 552.1 and 556.8 nm lines is reported at the single-photon emitter level, demonstrating that they originate from the same individual defect. This work follows from previous reports on optically active centers in diamond based on group-IV impurities, such as Si, Ge, and Sn. In perspective, a comprehensive study of this set of defect complexes could bring significant insight on the common features involved in their formation and opto-physical properties, thus offering a basis for the development of a new generation of quantum-optical devices.

opencc-by-4.0Nov 2020View details →

Raw data for article "In Situ Synchrotron X-Ray Diffraction Characterization of Corrosion Products of a Ti-Based Metallic Glass for Implant Applications" Gostin et al 2018

This repository contains raw data for the article "In Situ Synchrotron X-Ray Diffraction Characterization of Corrosion Products of a Ti-Based Metallic Glass for Implant Applications" by Gostin et al. 2018 in Advanced Healthcare Materials, 7, 1800338 (https://doi.org/10.1002/adhm.201800338). Most data comes from one beamtime at the Diamond synchrotron in the UK in May 2016.  It consists of X-ray diffraction images taken in situ in artificial corrosion pits on a Ti-based metallic glass. Please see the README file for more details.

opencc-by-4.0Jan 2018View details →

The role of place cues in voluntary stream segregation for cochlear implant listeners

Data generated for the study "The role of place cues in voluntary stream segregation for cochlear implant listeners" - <a href="https://doi.org/10.1177/2331216517750262">https://doi.org/10.1177/2331216517750262</a> The files "Experiment_1.txt" and "Experiment_2.txt" contain the data from the first and second experiments, respectively. List of variables: <ul> <li>Subject: Listener's ID</li> <li>Electrode: Stimulation electrode for the distractor stream. The target stream was always presented on electrode 11.</li> <li>Rate: Stimulation pulse rate.</li> <li>ABpairs: Number of AB duplets in the sequence.</li> <li>Hrate: Hit rate</li> <li>FArate: False alarm rate</li> <li>dprime: d' score</li> <li>d_se: Standard error of the d' score</li> <li>IOmodel: 1 for ideal observer model estimates and 0 for listener's d' scores</li> </ul>

opencc-by-4.0Apr 2024View details →

Ion Implantation Sensor and Process Target Data for Predicting Ion Beam Tuning in Semiconductor Manufacturing

<h2>Dataset Description:</h2> This dataset is designed to predict ion beam tuning setup processes in semiconductor manufacturing, in terms of tuning success or failure, and tuning duration. It is split into <code>X</code> and <code>y</code> to allow for supervised learning approaches. <ul> <li><code>X</code> represents the current equipment condition and the process targets of the currently processed and the upcoming lot, as defined within recipes.</li> <li><code>y</code> represents the ion beam tuning setup report, which informs about the tuning success ratio and tuning duration. These setups are necessary, when switching between recipes to prepare the equipment for processing the next lot. <code>y</code> contains three labels, enabling classification of (1) tuning success or fail, and (2) prolonged tuning, as well as (3) estimation of tuning duration as a regression task.</li> </ul> About <code>X</code>: Each lot is processed with a specific recipe to achieve the process target. The tuning takes place before the first wafer of the to-be-tuned recipe is processed. Each row in <code>X</code> includes logistical information such as the equipment used for processing and parsed recipe / process target information for the current and upcoming lot. The majority of data consists out of aggregated metrics of equipment-internally tracked sensor traces, recording physical parameters such as gas flows, temperatures, voltages and currents. When analyzed in conjunction with the processed recipe, these sensors provide insights into the current equipment condition.  About <code>y</code>: The <code>setup_result</code> column indicates the success or failure of tuning - with <code>setup_result=0</code> indicating tuning success, while <code>setup_result=1</code> signals tuning failure. If the first tuning attempt fails, there may be follow-up attempts, but these are not included in this dataset. The <code>duration</code> column represents the tuning duration in seconds, as used for regression analysis. The <code>duration_interval</code> column is a binary label for prolonged tunings, i.e. <code>duration_interval=1</code> for instances, which take more than 6 minutes to tune. For reproducibility of the corresponding paper's results: <ol> <li>The dataset contains the same carefully curated subset of features.</li> <li>The train_test_split() has already been performed, thus we provide <code>x_train</code> and <code>x_valid</code> separately.</li> <li>To reduce the effect of outliers in the data, the sensor data has already been scaled, as derived from <code>x_train</code>.</li> </ol> In summary, these datasets (<code>X</code>, <code>y</code>) provide comprehensive information for predicting ion beam tuning in semiconductor manufacturing, making it a valuable resource for researchers and practitioners in the field. <h2>Python Code for Reproducibility:</h2> Furthermore, we share a jupyter notebook <code>ionbeamtuning.ipynb</code> with Python code to train the best performing model on the provided data, as described in the paper. To execute the code, you may need to install any missing packages specified in the <code>requirements.txt</code>, as indicated within the notebook.

opencc-by-4.0Apr 2024View details →

Data of the publication Hot ion implantation to create dense NV center ensembles in diamond

Data of the publication published under the reference: M.W. Ngambeu Ngambou, Appl. Phys. Lett. 124, 134002 (2024).

opencc-by-4.0May 2023View details →

Data of the publication Optimizing ion implantation to create shallow NV centre ensembles in high-quality CVD diamond

Data of the publication published by IOP under the reference: Midrel Wilfried Ngandeu Ngambou et al 2022 Mater. Quantum. Technol. 2 045001 .

opencc-by-4.0Sep 2020View details →

Dataset related to publication "Heating of hip joint implants in MRI: the combined effect of radiofrequency and switched-gradient fields"

The datasets reported in the figures of the article "Heating of hip joint implants in MRI: the combined effect of radiofrequency and switched-gradient fields" by Alessandro Arduino, Umberto Zanovello, Jeff Hand, Luca Zilberti, Rüdiger Brühl, Mario Chiampi and Oriano Bottauscio, accepted for publication to Magnetic Resonance Imaging on Dec. 9th, 2020. A link to the article will be given after its final publication.

opencc-by-nc-nd-4.0May 2024View details →

Measurement and simulation of optical properties of nanostructured silicon heavily implanted with selenium

Summary: This is the collection of datasets used to plot the line art figures for the journal paper “Extended Infrared Absorption in Nanostructured Si Through Se Implantation and Flash Lamp Annealing”. Methods: The experimental and calculation methods for generating the datasets are described in the original paper and in the supplementary materials. File Description: <ul> <li>The filenames for all files match the figure captions from the original paper and supplementary materials.</li> <li>Each file represents a specific plot, with all files provided in CSV format.</li> <li>Each column in the file represents a set of variable data.</li> <li>The datasets corresponding to each curve can be identified by comparing the first-row header information with the figure legend.</li> </ul> Credit: When using the dataset/figures, please cite the original paper as: Radfar, B., Liu, X., Berencén, Y., Shaikh, M.S., Prucnal, S., Kentsch, U., Vähänissi, V., Zhou, S. and Savin, H. (2024), Extended Infrared Absorption in Nanostructured Si Through Se Implantation and Flash Lamp Annealing. Phys. Status Solidi A 2400133. <a title="https://doi.org/10.1002/pssa.202400133" href="https://doi.org/10.1002/pssa.202400133" target="_blank" rel="noreferrer noopener">https://doi.org/10.1002/pssa.202400133</a>

opencc-by-4.0Jul 2022View details →

Imaging data of mechanically loaded, micro-patterned, silk-reinforced cellulose films with gold coating for flexible electrodes in medical implants

Neurodegenerative diseases can be treated using a functional interface between the physically soft tissue such as brain and the man-made electrodes. The orders of magnitude harder neural probes cause local injuries, due to periodic micromovements owing to breathing and pulsatile blood flow leading to encapsulation and related collapsing signals. An alternative to the currently used neural implant films including polyimide, poly(p-xylylene), SU-8 - epoxy-based negative photoresist, liquid crystal polymer, and benzocyclobutene is the natural polymer cellulose with an elastic modulus between 100 and 200 MPa. This article elucidates the measurement of the mechanical properties of bare as well as mono- and double-layer silk-reinforced cellulose in phosphate-buffered saline using a universal testing machine. In addition, the article contains electron microscopy data of these micro-structured, gold-coated films subsequent to peel-off tests to access the impact of micro-structures on gold adhesion on cellulose. These imaging data were completed by electron micrographs of mechanically loaded gold-coated cellulose films to demonstrate the impact of micro-structures on crack formation. Finally, the phosphate-buffered saline-induced swelling of the micro-structure was visualized by electron micrographs obtained before and after two-month storage in air and phosphate-buffered saline, respectively.

opencc-by-4.0Apr 2019View details →

Raw Data from - Speech-ABRs in Cochlear Implant Recipients: Feasibility Study

Speech-ABRs in Cochlear Implant Recipients: Feasibility Study Ghada BinKhamis, Emanuele Perugia, Martin O’Driscoll, Karolina Kluk Please site the paper when using this dataset (DOI: 10.1080/14992027.2019.1619100)   Participant Recordings (BinKhamis et al Speech_ABR in CI raw data.zip) <ul> <li>Description of raw EEG (speech-ABR) data main folder, subfolders, and raw EEG files <ul> <li>Folder Information <ul> <li>Main folder: Contains 12 subfolders with the raw data from 12 participants</li> <li>Subfolders: Each subfolder contains raw EEG recordings from one participant, subfolders names are:</li> <li>CI1, CI2, CI3, CI4, CI5, CI6, CI7, CI8, CI9, CI10, CI11, CI12</li> </ul> </li> <li>Each participant subfolder contains four ‘.mat’ files: <ul> <li>Each ‘.mat’ file starts with the participant ID <ul> <li>CI1, CI2, CI3, CI4, CI5, CI6, CI7, CI8, CI9, CI10, CI11, CI12</li> </ul> </li> <li>Followed by the stimulus: 40 da</li> <li>Followed by the stimulus polarity <ul> <li>Pos for positive/standard</li> <li>Neg for negative (reversed polarity stimulus)</li> </ul> </li> <li>Followed by the ipsilateral/implanted ear <ul> <li>R for right ear</li> <li>L for left ear</li> </ul> </li> <li>Finally the recording number for that polarity <ul> <li>1 is the first recording</li> <li>2 is the second recording</li> </ul> </li> </ul> </li> <li>Example ‘.mat’ file name: <ul> <li>CI1 40 da Neg R1.mat: Participant number 1, reversed polarity stimulus, implanted ear – right ear, recording number one</li> <li>CI9 40 da Pos L2.mat: Participant number 9, standard/positive polarity stimulus, implanted ear – left ear, recording number two</li> </ul> </li> <li>Description of ‘.mat’ files that can be accessed and processed using MATLAB (MathWorks): Each ‘.mat’ file is a structure that contains the following fields: <ul> <li>The first nine fields are informational, for example: <ul> <li>xunits: ‘s’ indicates that the recording time window is in seconds, conversion to milliseconds would be required to plot the data in milliseconds</li> <li>start: ‘0’ indicates that both stimulus and recording start at 0 seconds</li> <li>points: 13750 is the number of sample points</li> <li>chans: 2 is the number of channels (channel 2 is the ipsilateral channel for participants with a Right CI, and channel 1 is the ipsilateral channel for participants with a Left CI)</li> <li>frames: 2500 is the number of epochs (repetitions)</li> </ul> </li> <li>The last filed ‘values’ is what contains the raw EEG data (13750x2x2500) <ul> <li>13750 is the number of samples</li> <li>2 is the number of channels (channel one is recorded from the left ear lobe (A1) and channel two is from the right ear lobe (A2))</li> <li>2500 is the number of epochs</li> </ul> </li> </ul> </li> </ul> </li> </ul> Date of data collection: September 2017   Artificial-head artefact Recordings (BinKhamis et al Speech_ABR in CI artefact data.zip) <ul> <li>This folder contains six artificial-head artefact recordings <ul> <li>CI07_Artefact_40da_neg.mat <ul> <li>Artefact based on closest approximation to CI07's MAP</li> <li>Recorded in response to a reversed polarity (neg) 40 ms [da]</li> </ul> </li> <li>CI07_Artefact_40da_pos.mat <ul> <li>Artefact based on closest approximation to CI07's MAP</li> <li>Recorded in response to a standard polarity (pos) 40 ms [da]</li> </ul> </li> <li>CI08_Artefact_40da_neg.mat <ul> <li>Artefact based on closest approximation to CI08's MAP</li> <li>Recorded in response to a reversed polarity (neg) 40 ms [da]</li> </ul> </li> <li>CI08_Artefact_40da_pos.mat <ul> <li>Artefact based on closest approximation to CI08's MAP</li> <li>Recorded in response to a standard polarity (pos) 40 ms [da]</li> </ul> </li> <li>CI09_Artefact_40da_neg.mat <ul> <li>Artefact based on closest approximation to CI09's MAP</li> <li>Recorded in response to a reversed polarity (neg) 40 ms [da]</li> </ul> </li> <li>CI09_Artefact_40da_pos.mat <ul> <li>Artefact based on closest approximation to CI09's MAP</li> <li>Recorded in response to a standard polarity (pos) 40 ms [da]  </li> </ul> </li> </ul> </li> <li>Artefact recordings are in '.mat' format (MATLAB, MathWorks) <ul> <li>Each '.mat' file is a 10988x2500 matrix <ul> <li>10988 is the number of sample points</li> <li>2500 is the number of epochs (repetitions)</li> </ul> </li> </ul> </li> </ul> Artefacts recorded in: June 2018

opencc-by-4.0Feb 2024View details →

INFLUENCE OF DENTAL IMPLANT INSERTION DEPTH ON STRAIN IN PERIIMPLANT BONE TISSUE

Geometry models of cortical and cancellous bone tissue for the conference paper "Influence of dental implant insertion depth on strain in periimplant bone tissue".

opencc-by-nc-4.0Jan 2018View details →

The role of temporal cues in voluntary stream segregation for cochlear implant users

Data from "The role of temporal cues in voluntary stream segregation for cochlear implant users" (DOI: 10.1177/2331216518773226) List of variables: <ul> <li>Subject: Listener's ID</li> <li>Electrode: Stimulation electrode.</li> <li>Rate: Stimulation pulse rate of the distractor stream. The target stream was always presented with a pulse rate of 300 pps.</li> <li>ABpairs: Number of AB duplets in the sequence.</li> <li>Hrate: Hit rate</li> <li>FArate: False alarm rate</li> <li>dprime: d' score</li> <li>d_se: Standard error of the d' score</li> <li>IOmodel: 1 for ideal observer model estimates and 0 for listener's d' scores</li> <li>control: 1 for the control (i.e. no distractor) condition</li> </ul> Note: In figure 3 from the paper, there is an error in the listeners' ID. Starting from the top panel, the correct IDs are: L1, L4, L5, L10, L6, L8 and L9. The IDs provided in the Data.txt file are correct.

opencc-by-4.0Apr 2018View details →

Auditory stream segregation and selective attention for cochlear implant listeners: Evidence from behavioral measures and event-related potentials

Data set generated for the study "Auditory stream segregation and selective attention for cochlear implant listeners: Evidence from behavioral measures and event-related potentials"  <ol> <li>behavioral.txt: d' scores obtained by the listeners on the deviant detection task. <ul> <li>subject: listener ID</li> <li>distractor: Electrode separation condition</li> <li>deviant: Deviant triplet</li> <li>d: d' scores</li> <li>exp: experimental session (BEH / ERP)</li> </ul> </li> <li>ERP_by_condition.txt: <ul> <li>Subject: listener ID</li> <li>Type: Sound type (Target / Distractor)</li> <li>Dev: Deviant condition. Early = deviant triplets 1 or 2. Late = deviant triplet 3 or none.</li> <li>rep: Triplet number</li> <li>sound: sound number within the triplet</li> <li>amplitude: amplitude difference between the active and the passive listening conditions.</li> </ul> </li> </ol>

opencc-by-4.0Mar 2019View details →

Open access data for 2-year percutaneous osseointegrated implants - A sheep model

Percutaneous osseointegrated (OI) devices for amputees are metallic endoprostheses, surgically implanted into the residual bone that protrude through the skin, allowing attachment of an exoprosthetic. In contrast to standard socket-type systems, these percutaneous OI devices can provide an improved prosthetics attachment platform. However, bone adaptations, which include atrophy and/or hypertrophy along the extent of the host bone-endoprosthetic interface, are known clinical outcomes and are dependent upon the load transfer region of the device to the host bone. The goal of this study was to determine if a percutaneous OI device, designed with a porous coated distal region and a collar, could promote and maintain stable bone attachment. A total of eight, 18 to 24-month old, mixed-breed sheep were surgically implanted with a percutaneous OI device. For 24-months, animals were allowed to bear weight as tolerated and monitored for signs of bone remodelling. At necropsy, the endoprosthesis and the surrounding tissues were harvested, radiographically imaged, and histomorphometrically analyzed to determine the periprosthetic bone adaptation in five animals. Bone growth into the porous coating was achieved in all five animals. Serial radiographic data showed stress-shielding related bone adaptation based on the placement of the endoprosthetic stem. When collar placement achieved end-bearing against the transected bone, distal bone conservation/hypertrophy was observed. The results supported the use of distally porous coated percutaneous OI devices for distal load-transfer and host bone maintenance.

opencc-by-4.0Aug 2019View details →

Energy measurements for analyzing medical-implant-battery lifetime

The dataset comprises of energy-consumption measurements pertaining to a modern ultra-low-power MCU (EFM32TG11). These numbers were used to evaluate the impact of using certain cryptographic primitives on the battery lifetime of implantable medical devices. Further details can be found in the relevant publication: Muhammad Ali Siddiqi and Christos Strydis. 2019. IMD security vs. energy: are we tilting at windmills?: POSTER. In Proceedings of the 16th ACM International Conference on Computing Frontiers (CF '19). ACM, New York, NY, USA, 283-285. DOI: https://doi.org/10.1145/3310273.3323421