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This dataset contains 2,016 sensor responses collected from an array of conductive carbon-black polymer composite sensors, exposed to four target analytes—acetonitrile, dichloromethane (DCM), methanol, and toluene—at nine distinct concentration levels ranging from 0.5% to 20% P/P₀. Each sensor was exposed to the analytes for 20 minutes, followed by 20 minutes of nitrogen flushing to restore the baseline. The data consists of 80 time points (one every 30 seconds) per response, with each time point representing the sensor's resistance to a specific analyte concentration.

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The dataset file contains data of different reliability demonstration tests (RDTs). For this dataset, an RDT is a failure-based test for a product with Weibull distributed failure times (due to a single failure mechanism), which are load-dependent according to the inverse power law, and which are evaluated using maximum likelihood estimation. Each RDT is capable of demonstrating a particular lifetime t_RCS for a given required reliability and confidence, and with probability of test success of 80 %.

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This dataset contains the data used to create figures for the manuscript Robust Complementary Logic Using Multi-Gate N/MEMS Relays.  This paper presents novel complementary logic gate structures and discusses failure modes and optimization methods for these devices.  A detailed comparison of metallization schemes and operational modes is included as well.  In this dataset, information used to generate figure 2 (a, b), 4, 5 (a), and 6 are contained herein.  Figure 2 show cases the change in response time with variations in handle layer voltage.  Figure 4 presents relay life

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The data for this research are gathered from a variety of environments to evaluate CO2 accumulation under a range of uncontrolled variables. The dataset includes both built environments and transportation settings, offering a comprehensive view of real-world conditions across different contexts:

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The ocular diseases rising from vascular endothelial growth factors (VEGF) is rising on an alarming rate. Mostly the complex retinal disorders are resulted from overexpression of VEGF. Common ocular complications such as age related macular edema (AMD) (over 196 million), diabetic retinopathy (DR) (over 103.12 million) and retinal vein occlusion can result to permanent vision loss if not treated early. Early treatment of such complications is inhibiting the VEGF signaling cascade via anti-VEGF therapy.

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This dataset includes electronics repair guides from MyFixitDataset. From the MyFixit dataset, 50 repair manuals were randomly selected from each of the Mac, PC, Phone, and Electronics categories. These 200 repair manuals with 4754 distinct steps were to be selected and loaded into the Assembly Guidance Ontology. Each step was evaluated by the authors, and suitable parameters were assigned for the Digital Assembly Guidance System.

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In this paper a novel technique for modelling a radio frequency (RF) environment based on hypergraph theory is investigated for solving coexistence management of heterogeneous networks and efficient channel allocation for spectrum sharing. Conventionally, traditional graph theory is used to model interference relationships and exclusive channel allocation. The demand for wireless services is increasing, hence the need for efficient spectrum management techniques, such as spectrum sharing among coexistent networks.

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Thermocouples are widely used in industrial applications due to their robustness, low cost, reliability and ability to survive in harsh environments. However, these thermocouples are prone to failure in a highly acidic medium such as nuclear fuel reprocessing plants. This paper investigates the degradation phenomenon and its effect on measurement accuracy when a thermocouple with mechanical damage to the protective sheath is placed in a corrosive media.

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The data included here within is the associated model training results from the correlated paper "Distribution-Driven Augmentation of Real-World Datasets for Improved Cancer Diagnostics With Machine Learning". This paper focuses on using kernel density estimators to curate datasets by balancing classes and filling missing null values though synthetically generated data. Additionally, this manuscript proposes a technique for joining distinct datasets to train a model with necessary features from multiple different datasets as a type of transfer-learning.

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This dataset provides the data collected in the scope of a Systematic Literature Review (SLR) study that focuses on systematically gather and analyse the existing literature on SOTIF published during 2018-2023. By performing a SLR on SOTIF, we have determine the factors associated with the successful implementation of SOTIF measures, the challenges arise when ensuring SOTIF for ADSs, and research gaps from the SLR of existing literature on SOTIF. The dataset can be useful for the researchers and practitioners.

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