cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/j9rt95468p.4
title: ECG Signal Quality in Intermittent Long-Term Dry Electrode Recordings with Controlled Motion Artifacts

description: Wearable long-term monitoring applications are becoming more and more popular in both the consumer and the medical market. In wearable ECG monitoring, the data quality depends on the properties of the electrodes and on how they contact the skin. Dry electrodes do not require any action from the user. They usually do not irritate the skin, and they provide sufficiently high-quality data for ECG monitoring purposes during low-intensity user activity. We investigated prospective motion artifact–resistant dry electrode materials for wearable ECG monitoring. The tested materials were 1) porous: a conductive polymer, conductive silver fabric; and 2) solid: stainless steel, silver, and platinum. ECG was acquired from test subjects in a 10-minute continuous settling test and in a 48-hour intermittent long-term test. In the settling test, the electrodes were stationary, whereas both stationary and controlled motion artifact tests were included in the long-term test. The signal-to-noise ratio (SNR) was used as a figure of merit to quantify the results. Skin-electrode interface impedance was measured to quantify its effect on the ECG, as well as to leverage the dry electrode ECG amplifier design. The SNR of all electrode types increased during the settling test. In the long-term test, the SNR was generally elevated further. The introduction of electrode movement reduced the SNR markedly. Solid electrodes had a higher SNR and lower skin-electrode impedance than porous electrodes. SNR and impedance are negatively associated with each other. In the stationary testing, stainless steel showed the highest SNR, followed by platinum, silver, conductive polymer, and conductive fabric. In the movement testing, the order was platinum, stainless steel, silver, conductive polymer, and conductive fabric. The files include videos showing the instrumentation during ECG and impedance movement testing and an Excel-sheet with the calculated signal-to-noise results and measured impedance norms. Full methods are described in the related research paper of the same name.
DOI: 10.17632/j9rt95468p.1
title: ECG Signal Quality in Intermittent Long-Term Dry Electrode Recordings with Controlled Movement Artifacts

description: Wearable long-term monitoring applications are becoming more and more popular in both consumer and medical markets. In wearable ECG monitoring the data quality is dependent on the properties of the electrodes and how they contact the skin. Dry electrodes do not require any action from the user. They usually do not irritate the skin and they provide sufficiently high-quality data for ECG monitoring purposes during low user activity. We investigated prospective movement artifact resistant dry electrode materials for wearable ECG monitoring.
The tested materials were 1) porous: conductive polymer, conductive silver fabric, conductive silver fabric with moisture retaining membrane and 2) solid: stainless steel, silver, and platinum. ECG was acquired from test subjects in a 10-minute continuous settling test and in a 48-hour intermittent long-term test. In the settling test the electrodes were stationary, whereas in the long-term test both stationary and controlled movement artifact tests were included. Signal-to-noise ratio (SNR) was used as a figure of merit to quantify the results.
The SNR increased in all the electrode types during the settling test. In the long-term test the SNR was in general elevated further. The introduction of electrode movement reduced the SNR markedly. Solid electrodes had higher SNR than the porous electrodes. In the stationary testing stainless steel showed the highest SNR followed by platinum, silver, conductive polymer and conductive fabric. In the movement testing the platinum and stainless steel changed places and the rest of the order was the same.

The files include a video showing the instrumentation during movement testing and ECG recording and an Excel-sheet with the calculated signal-to-noise results. Full methods are described in the related research paper of the same name.
DOI: 10.17632/j9rt95468p.2
title: ECG Signal Quality in Intermittent Long-Term Dry Electrode Recordings with Controlled Motion Artifacts

description: Wearable long-term monitoring applications are becoming more and more popular in both the consumer and the medical market. In wearable ECG monitoring, the data quality depends on the properties of the electrodes and on how they contact the skin. Dry electrodes do not require any action from the user. They usually do not irritate the skin, and they provide sufficiently high-quality data for ECG monitoring purposes during low-intensity user activity. We investigated prospective motion artifact–resistant dry electrode materials for wearable ECG monitoring.
The tested materials were 1) porous: a conductive polymer, conductive silver fabric; and 2) solid: stainless steel, silver, and platinum. ECG was acquired from test subjects in a 10-minute continuous settling test and in a 48-hour intermittent long-term test. In the settling test, the electrodes were stationary, whereas both stationary and controlled motion artifact tests were included in the long-term test. The signal-to-noise ratio (SNR) was used as a figure of merit to quantify the results.
The SNR of all electrode types increased during the settling test. In the long-term test, the SNR was generally elevated further. The introduction of electrode movement reduced the SNR markedly. Solid electrodes had a higher SNR than porous electrodes. In the stationary testing, stainless steel showed the highest SNR, followed by platinum, silver, conductive polymer, and conductive fabric. In the movement testing, the order was platinum, stainless steel, silver, conductive polymer, and conductive fabric.

The files include a video showing the instrumentation during movement testing and ECG recording and an Excel-sheet with the calculated signal-to-noise results. Full methods are described in the related research paper of the same name.
DOI: 10.17632/j9rt95468p.5
title: ECG Signal Quality in Intermittent Long-Term Dry Electrode Recordings with Controlled Motion Artifacts

description: Wearable long-term monitoring applications are becoming more and more popular in both the consumer and the medical market. In wearable ECG monitoring, the data quality depends on the properties of the electrodes and on how they contact the skin. Dry electrodes do not require any action from the user. They usually do not irritate the skin, and they provide sufficiently high-quality data for ECG monitoring purposes during low-intensity user activity. We investigated prospective motion artifact–resistant dry electrode materials for wearable ECG monitoring. The tested materials were 1) porous: a conductive polymer, conductive silver fabric; and 2) solid: stainless steel, silver, and platinum. ECG was acquired from test subjects in a 10-minute continuous settling test and in a 48-hour intermittent long-term test. In the settling test, the electrodes were stationary, whereas both stationary and controlled motion artifact tests were included in the long-term test. The signal-to-noise ratio (SNR) was used as a figure of merit to quantify the results. Skin-electrode interface impedance was measured to quantify its effect on the ECG, as well as to leverage the dry electrode ECG amplifier design. The SNR of all electrode types increased during the settling test. In the long-term test, the SNR was generally elevated further. The introduction of electrode movement reduced the SNR markedly. Solid electrodes had a higher SNR and lower skin-electrode impedance than porous electrodes. SNR and impedance are negatively associated with each other. In the stationary testing, stainless steel showed the highest SNR, followed by platinum, silver, conductive polymer, and conductive fabric. In the movement testing, the order was platinum, stainless steel, silver, conductive polymer, and conductive fabric. The files include videos showing the instrumentation during ECG and impedance movement testing and an Excel-sheet with the calculated signal-to-noise results and measured impedance norms. Full methods are described in the related research paper of the same name.
DOI: 10.17632/5kmnjcr96r.1
title: Differences in heat losses between glazing of various emissivitties related to night sky radiation: Experimental and numerical analysis

description: Boundary condition
DOI: 10.17632/5kmnjcr96r.2
title: Differences in heat losses between glazing of various emissivitties related to night sky radiation: Experimental and numerical analysis

description: Data
DOI: 10.17632/5kmnjcr96r.3
title: Differences in heat losses between glazing of various emissivitties related to night sky radiation: Experimental and numerical analysis

description: Data
DOI: 10.57745/59jsur
title: 2023_data_trm.tab

description: sea trout trapping data on the Bresle
DOI: 10.17632/tjjbdj7vsr.1
title: The dosage- and size-dependent effects of micro- and nanoplastics in lettuce roots and leaves at the growth, photosynthetic, and metabolomics levels

description: The occurrence of microplastics (MPs) and nanoplastics (NPs) in soil may trigger morphological, physiological, and biochemical changes in plants. The impact of MPs/NPs has been investigated in lettuce (Lactuca sativa L. var Canasta) plants using four different particle sizes of polyethylene micro- and nanoplastics and four concentrations. In this study, photosynthetic activity, plant morphological changes, and roots and leaves metabolome modulations were considered. Our findings indicate that particle size has a hierarchically more significant impact on lettuce morphological (biomass, color segmentation, greening index, leaf area, and photosynthetic activity) and physiological (maximum quantum yield - Fv/Fmmax, or quantum yield in the steady-state Fv/FmLss, NPQLss, RfdLss, FtLss, FqLss) parameters, as well as in terms of metabolome modulation. Small plastic sizes exhibited a stronger impact on plant aerial parts in a dose-response manner, leading to a general enhancement of biosynthetic processes. Conversely, increasing plastic size had a major impact on root metabolome, resulting in negative modulation of biosynthetic processes. Generally, secondary metabolites biosynthesis, phytohormone regulation, and lipids and fatty acids were the most impacted. Moreover, nitrogen-containing compounds were accumulated following treatments. The qPCR of genes related to the soil nitrogen cycle (such as NifH, NirK, and NosZ), the analysis of nitrogen forms in soil (including NO3- and NH4), and metabolites involved in nitrogen pathways are strictly correlated with the morpho-physiological parameters of lettuce plants driven by MPs/NPs contamination.
DOI: 10.17632/jwdvxscr8n.1
title: Software Code for POMDP File Creator Tool (PCMRPP)

description: This is the code for the PCMRPP software package which implements an algorithm for automatically creating POMDP file for mobile robot path planning in a two-robot scenario. The Partially Observable Markov Decision Process (POMDP), a mathematical framework for decision-making in uncertain environments suffers from the curse of dimensionality. The POMDP model is made of three matrices - State Transition Matrix (T), Observation Matrix (O) and Reward Matrix (R). For a simplest case of two mobile robots moving in a bounded field, the number of states can easily cross 1000 leading to huge sizes of these matrices. The sizes of these matrices are of the order of square of no. of states. Even though the matrices are sparse, manually creating the high-dimension matrices is a cumbersome and sometimes even impossible task. For accurately defining the states and observations in discrete space, the size of POMDP model becomes very big. Creating such a file manually involves meticulously formulating the probabilities of huge number of state Transitions and Observations. The PCMRPP (POMDP file Creator for Mobile Robot Path Planning) is a novel algorithm to programmatically generate the POMDP model. This is implemented in C on Linux. This version is limited to only two mobile robots moving in an open 2D space with possibility of collision between them. The software creates a pomdp file which can be passed through a pomdp solver (e.g. APPL Toolkit - https://bigbird.comp.nus.edu.sg/pmwiki/farm/appl/). The resultant policy file either in the form of a graph or a set of alpha vectors is used by an executioner program running on-board the robot to generate the optimum robot path. The PCMRPP allows control of the sizes and the sparseness of the matrices to achieve trade-off between time complexity and the level of robustness of the POMDP solution. This is done by controlling the spread of the probability distribution of the state transition and the granularity of discretization of the components of the state. Refer to the figures included in the uploaded data set files to get more clarity on this.
DOI: 10.17632/82cbrd389k.1
title: Monitoring of hepatitis E virus in wastewater can identify clinically relevant variants

description: Hepatitis E virus (HEV) is prevalent worldwide and can lead to persistent infection causing severe morbidity. Further, antiviral treatment approaches can lead to the emergence of viral variants that may impede viral clearance. The frequency of these variants remains unknown in the human population as well as environment due to limited comprehensive data on HEV diversity. In this study, we investigated the HEV prevalence and diversity of circulating variants in environmental samples from North-Rhine Westphalia, Germany. HEV prevalence could be determined with 73% of samples tested positive for viral RNA. Using ultra-deep sequencing we were able to assess the overall diversity in these samples and identified the presence of clinically relevant variants associated with drug resistance. In summary, monitoring variants from environmental samples could provide valuable insights into estimating HEV prevalence and identifying circulating variants that can impact treatment outcome.
DOI: 10.17632/vk42vz8cht.1
title: Supplementary Materials- A prospective cohort study examining the association of claw anatomy and sole temperature with the development of claw horn disruption lesions in dairy cattle

description: Supplementary Table S1. Case definitions and descriptions of the grading system for sole haemorrhage, sole ulcers and white line lesions. Supplementary Table S2. Descriptive Statistics of explanatory variables at each time point. Continuous variables are presented alongside the mean, standard deviation (SD), range and number of missing values (%). Categorical variables are presented alongside the frequency within each level (%). T1-Precalving, n = 1982, T2- Calving, n = 2082. Farm and Parity variables are presented at the T1-Precalving timepoint . Supplementary Table S3. Results from univariable analysis with logistic regression of T1-Precalving and T2-Calving explanatory variables with white line lesion at T3-Early as an outcome. Odds ratios are calculated, either for a single unit increase or compared to the reference level. Supplementary Table S4. Results from univariable analysis with logistic regression of T1-Precalving and T2-Calving explanatory variables with sole lesion at T3-Early as an outcome. Odds ratios are calculated, either for a single unit increase or compared to the reference level. Supplementary Table S5. Pairwise Pearson’s Correlation Coefficients (r) between explanatory variables are presented. Supplementary Table S6. The model-adjusted probabilities of sole and white line lesions at each timepoint from four multivariable fixed-effect logistic regression models (1a, 1b, 2a and 2b). The arithmetic mean of the variable (sole horn thickness or foot angle) was calculated after grouping by industry recommended levels. Supplementary Figure S1. Schematic showing the study design and variables recorded at each timepoint. Timepoints are described as days relative to the expected calving date. Supplementary Figure S2. Data handling workflow to create the final datasets used in the analysis.
DOI: 10.17632/z355dxzyjw.1
title: Molecular descriptors for corrosion ihibitors

description: Molecular descriptors for 37 selected corrosion inhibitors. These descriptors cover quantum, topological, structural, bioavailability/pharmacokinetic (ADME), and physicochemical aspects, offering a multidimensional insight into the characteristics of the inhibitors
DOI: 10.17632/z355dxzyjw.2
title: Molecular descriptors for corrosion inhibitors

description: Molecular descriptors for 37 selected corrosion inhibitors. These descriptors cover quantum, topological, structural, bioavailability/pharmacokinetic (ADME), and physicochemical aspects, offering a multidimensional insight into the characteristics of the inhibitors
DOI: 10.5281/zenodo.10199623
title: Improved Converted Traces from Rebasing Microarchitectural Research with Industry Traces

description: Improved converted traces of the paper "Rebasing Microarchitectural Research with Industry Traces", published at the 2023 IEEE International Symposium on Workload Characterization. It includes the CVP-1 traces used in the paper converted with our improved converter.
Abstract: Microarchitecture research relies on performance models with various degrees of accuracy and speed. In the past few years, one such model, ChampSim, has started to gain significant traction by coupling ease of use with a reasonable level of detail and simulation speed. At the same time, datacenter class workloads, which are not trivial to set up and benchmark, have become easier to study via the release of hundreds of industry traces following the first Championship Value Prediction (CVP-1) in 2018. A tool was quickly created to port the CVP-1 traces to the ChampSim format, which, as a result, have been used in many recent works. We revisit this conversion tool and find that several key aspects of the CVP-1 traces are not preserved by the conversion. We therefore propose an improved converter that addresses most conversion issues as well as patches known limitations of the CVP-1 traces themselves. We evaluate the impact of our changes on two commits of ChampSim, with one used for the first Instruction Championship Prefetching (IPC-1) in 2020. We find that the performance variation stemming from higher accuracy conversion is significant.
DOI: 10.5281/zenodo.10199624
title: Improved Converted Traces from Rebasing Microarchitectural Research with Industry Traces

description: Improved converted traces of the paper "Rebasing Microarchitectural Research with Industry Traces", published at the 2023 IEEE International Symposium on Workload Characterization. It includes the CVP-1 traces used in the paper converted with our improved converter.
Abstract: Microarchitecture research relies on performance models with various degrees of accuracy and speed. In the past few years, one such model, ChampSim, has started to gain significant traction by coupling ease of use with a reasonable level of detail and simulation speed. At the same time, datacenter class workloads, which are not trivial to set up and benchmark, have become easier to study via the release of hundreds of industry traces following the first Championship Value Prediction (CVP-1) in 2018. A tool was quickly created to port the CVP-1 traces to the ChampSim format, which, as a result, have been used in many recent works. We revisit this conversion tool and find that several key aspects of the CVP-1 traces are not preserved by the conversion. We therefore propose an improved converter that addresses most conversion issues as well as patches known limitations of the CVP-1 traces themselves. We evaluate the impact of our changes on two commits of ChampSim, with one used for the first Instruction Championship Prefetching (IPC-1) in 2020. We find that the performance variation stemming from higher accuracy conversion is significant.
DOI: 10.17632/65xwbxyyyz.1
title: Firstness Study Data

description: Firstness study to determine if our manuscript, if published, would be the first to publish images of paraphenylenediamine (PPD) allergic contact dermatitis in Type 5 patients in a journal.
DOI: 10.17632/xjb67vhgmr.1
title: CARB2 data

description: CARB2 melts and glasses: chemical analyses, vibrational spectroscopy, Moessbauer spectroscopy and EDXD measurements.
DOI: 10.17632/xjb67vhgmr.2
title: CARB2 data

description: chemical analyses, vibrational spectroscopy, Moessbauer spectroscopy and EDXD measurements.
DOI: 10.17632/zz2b3wdf5r.2
title: Mobile Medical Van in the South Texas Colonias

description: Evaluation of physiological and psychological domains of healthcare in Hispanic. Blood Pressure, Height, Weight, LDL, HgA1C, Triglycerides, Total Cholesterol, PhQ9, Duke Profile, Gender, age, and Colonia
DOI: 10.17632/38xk9wfv7b.1
title: Structural tests on high strength steel welded I-section frames

description: This dataset consists of data related to the experimental and numerical investigation of the in-plane behaviour of eight fixed-base, single storey, unbraced high strength steel frames. The results and discussion associated with this dataset have been published as an open access article in the Journal of Engineering Structures and can be accessed via this link: https://doi.org/10.1016/j.engstruct.2022.114108 This data is an example of the necessary data required for validation during the design of steel structures assisted by geometrically and materially nonlinear shell finite element analysis with explicit treatment of imperfections (GMNIA). The data and supplementary information include: 1. Experimental dataset 2. Numerical dataset
DOI: 10.17632/92g4pthx4p.1
title: Beyond (COVID-19) Lockdown

description: 82 faculty members of 25 states of India responded to measure of Work-Family Conflict, Job Satisfaction and Personal Wellbeing Index. Coding and abbreviations details have been given in the data sheet.
DOI: 10.17632/shtkzt5hgc.1
title: Python Algorithm

description: This code gives the value of stiffness and stress intensity factor in the case of conical indenter, flat-ended cylindrical punch, and spherical indenter indenting on the coated elastic half-space for the small strain limit.
DOI: 10.17632/ztcngpwt84.1
title: DEPRESIÓN Y ANSIEDAD EN MIGRANTES VENEZOLANOS EN EL DEPARTAMENTO ATLÁNTICO

description: El proceso migratorio trae consigo diferentes sentimientos como la ansiedad y la depresión. La ansiedad es una emoción que experimenta el individuo cuando se siente con miedo o preocupación ante situaciones cotidianas, mientras que la depresión es considerada como un trastorno mental en la que persiste la tristeza y la perdida de interés en el día a día, conllevando a la afectación del estado físico y mental, expresados por medio de los pensamientos y comportamientos. El estudio es de tipo observacional descriptivo transversal. La población del estudio está conformada por todos los migrantes venezolanos que se encuentran registrados en la fundación “Fundemar” en un municipio del departamento del atlántico, y la muestra fue tomada en su totalidad. Se aplicaron dos encuestas: test de Hamilton para ansiedad y el test de Hamilton de 17 ítems para depresión. Se realizó un análisis descriptivo de los datos obtenidos de la aplicación de las encuestas donde se obtuvo que el 76% de las personas encuestadas presentaron ansiedad leve y sólo el 6% tuvo ansiedad severa. El 58% de los migrantes que participaron en el estudio no presentan depresión, el 30% presenta depresión ligera menor, el 8% depresión moderada y el 2% depresión severa. Los resultados revelaron un panorama significativo, la mayoría de los participantes mostraron niveles de ansiedad clasificados como leves, mientras que una proporción mínima experimentó ansiedad severa.