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Calorimeters play an important role in high-energy physics experiments. Their design includes electronic instrumentation, signal processing chain, computing infrastructure, and also a good understanding of their response to particle showers produced by the interaction of incoming particles. This is usually supported by full simulation frameworks developed for specific experiments so that their access is restricted to the collaboration members only. Such restrictions limit the general-purpose developments that aim to propose innovative approaches to signal processing, which may include machine learning and advanced stochastic signal processing models. This work presents the Lorenzetti Showers, a general-purpose framework that mainly targets supporting novel signal reconstruction and triggering strategies using segmented calorimeter information. This framework fully incorporates developments down to the signal processing chain level (signal shaping, energy estimation, and noise mitigation techniques) to allow advanced signal processing approaches in modern calorimetry and triggering systems. The developed framework is flexible enough to be extended in different directions. For instance, it can become a tool for the phenomenology community to go beyond the usual detector design and physics process generation approaches.

Black versus white Melanoma Kaplan-Meyer Curve 5-Year All-Cause Mortality.

Data for temperature, pH, redox, salinity, oxygen, TAN, ammonium, nitrite, nitrate, CO2 and alkalinity in the production water of a marine post smolt recycling aquaculture system (RAS), measured over four production cycles in the operating year 2016-2017. Together with a microbiome dataset from the same period, a deeper understanding of the holistic aspects of the RAS facility was investigated, aiming for increased biosecurity and fish health.

---- Description of vibration file format ---- Vibration data file contains five columns namely ‘Time Stamp’, ‘x_direction_housing_A’, ‘y_direction_housing_A’, ‘x_direction_housing_B’, and ‘y_direction_housing_B’. The unit of the vibration is ‘gravitational constant (g)’. vibration_aaaa_bbbb.csv : This file is "bbbb"-th vibration data includes rotating speed data of the condition of "aaaa". ---- Description of motor current file format ---- Motor current data file contains five columns namely ‘Time Stamp’, ‘R_phase’, ‘S_phase’, and ‘T_phase’. The unit of the motor current is ‘Ampare (A)’. current_aaaa_bbbb.csv : This file is "bbbb"-th motor current data includes rotating speed data of the condition of "aaaa". ---- Description of rotating speed file format ---- Rotating speed data file contains two columns namely ‘Time Stamp’, and ‘speed’. The unit of the acoustic is revolutions per minute (RPM)’. rpm_aaaa_bbbb.csv : This file is "bbbb"-th speed data includes rotating speed data of the condition of "aaaa". Datasets are divided into three parts because of storage limitations (part1, part2, and part3). For more detailed information, check our published paper. Title: Vibration, Acoustic, Temperature, and Motor Current Dataset of Rotating Machine Under Varying Operating Conditions for Fault Diagnosis Link: https://www.sciencedirect.com/journal/data-in-brief

This dataset aims to evaluate the reproducibility of CT features. Four CT scans of the Credence Cartridge Radiomics (CCR) phantom from different CT manufactures were included, and the manual Segmentation of the NSCLC tumor (i.e., the cartridge of shredded rubber particles which mimic the texture of NSCLC) in the phantoms was conducted. In this dataset, GE, P, S, and T represent the CT scans from GE, Philips, Siemens, and Toshiba, respectively. The "image" folder stores CT images, and the "mask" folder stores the manual segmentation of corresponding CT images.

MS Excel spreadsheet based on an automated formula with a solver. It serves for hydraulic conductivity calcuclation and error estimation by fitting the parameters of the theoretical formula (Darcy Equation) to the field data. The spreadsheet was developed to analize data collected by the falling head method in permeability investigation of riverbed sediments.

The dataset of composite running (g/km) and start-ups (g/start) emission factors for different vehicle fleets in Vietnam, 2010 - 2019 were developed by Air Quality Research group at Asian Institute of Technology (AIT), Thailand. The EFs of 17 pollutants were generated from International Vehicle Emissions (IVE) model using local survey data for selected cities in Vietnam. Pollutants covered: PM10; CO; VOCexh; VOCevap; NOx, SO2; NH3 and air toxics (1,2-butadiene; acetaldehyde; formaldehyde and benzene) and greenhouse gases (CO2; CH4; N2O), and three derived particulate species of PM2.5; BC and OC.

The empirical basis of the study was 4643 materials from four online business media for the period January 2020-January 2022, namely The Page, Delo.ua, Property Times, Commercial Property. These journalistic projects represent four types of online business media by the nature of subject-thematic orientation: 1) broad economic profile (The Page), 2) specialized (Delo.ua), 3) highly specialized (Property Times) and 4) professional (Commercial Property) (Nikytenko, 2022, p. 132-133) The algorithm for forming a sample for analyzing the features of a socio-economic topic is as follows: 1) search of all available journalistic media reports in the news feed of the selected media, as well as selection according to certain criteria of those that meet the definition of "socio-economic topic" (SET); 2) qualitative content analysis of selected media messages that contain SET. The criteria by which we formed the empirical base of the study from the general sample of materials were: a) a combination of economic (macro- and microeconomic indicators, narrow-industry business information, corporate information, financial data, etc.) and social context (living conditions, income level of the population, social equality, financial freedom, housing affordability, safety of the social environment) within one material; b) at least 40% of the material is devoted to the social context of the topic. As a result of the monitoring of the mentioned media, the following results were recorded. The total collection of texts during the research period is 4 643 materials, of which 3 268 texts meet the SET criteria. Of them, 2834 are dominated by thematic profile orientations, which were distributed in this order.

Dataset comprising the input data of OA, SIA, BC and metals in their original time resolution for the multi-time resolution SA.

This dataset describes nurses' knowledge, attitude, and practices (KAP) of pressure injury prevention at public and private hospitals in the West Coast division of Sabah, Malaysia. It was collected using a structured questionnaire administered online to 448 nurses. It includes nurses working at these hospitals and was conducted from April to December 2021.