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Related Concept Videos

Data Collection II01:29

Data Collection II

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The nursing history captures and records the patient's health status, so that a care plan evolves to meet the patient's individual needs. The nursing health history is a part of the initial assessment. A comprehensive history covers all health dimensions and plays a significant role in the assessment process. A comprehensive history includes the patient's biographical information, reasons for seeking health care, expectations, present and past health history, medications, and...
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Data Collection I01:30

Data Collection I

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Data collection gathers information needed to make accurate judgments about a patient's present condition. During a health history interview, subjective data is collected from the patient, their caregivers, or family members, and objective data is collected through observations and physical assessment. Patients are the primary source of subjective data. Thus information gathered from patients through interviews, observations, and physical examination is primary data. Secondary sources of...
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Data Collection by Experiments01:13

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Data collection is a systematic method of obtaining, observing, measuring, and analyzing accurate information. An experimental study is a standard method of data collection that involves the manipulation of the samples by applying some form of treatment prior to data collection. It refers to manipulating one variable to determine its changes on another variable. The sample subjected to treatment is known as “experimental units.”
An example of the experimental method is a public...
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Data Collection by Survey01:07

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The systematic method of obtaining and analyzing accurate information of a population is called data collection. A survey is a standard method of data collection that involves collecting information from a target human population about their experience, opinion, or knowledge of a product, service, or process. The responses are recorded and interpreted. The most common survey examples are written questionnaires, face-to-face or telephonic conversations, focus groups, and electronic (e-mail or...
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Data Collection by Observations01:08

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Data collection refers to a systematic way of obtaining, observing, measuring, and analyzing accurate information. Observational studies are one of the most widely used methods of data collection. It involves collecting data by observing the behavior and physical characteristics of a sample without making any modifications to the sample.
An astronomer viewing the motion and brightness of stars in the sky and recording the data is an example of observational data collection. A botanist recording...
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Data Collection III01:05

Data Collection III

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The physical assessment examines the patient for objective data that defines the patient's condition, and aids in formulating the nursing care plan. The purpose of physical assessment is a health status appraisal, which includes identifying health problems, and establishing a database for nursing intervention.
The principles to begin the physical assessment include conducting a comprehensive or problem-related history in a quiet, well-lit room, emphasizing privacy and comfort for the...
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Related Experiment Video

Updated: Feb 10, 2026

Polycrystalline Silicon Thin-film Solar cells with Plasmonic-enhanced Light-trapping
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Data collection in solar systems for efficiency enhancement.

Carlos Roberto Coutinho1, Rodrigo Fiorotti1, Marcelo Eduardo Vieira Segatto2

  • 1Federal Institute of Espírito Santo, Rod. BR 101 Norte - km 58, São Mateus, 29932-540, Espírito Santo, Brazil.

Data in Brief
|February 9, 2026
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Summary

This study presents a dataset from photovoltaic (PV) and hybrid photovoltaic/thermal (PV/T) systems, offering valuable data for improving solar energy efficiency and developing new control strategies for clean energy solutions.

Keywords:
Dataset collection and analysisEnergy conversionPV efficiencyPV/T efficiencyPhotovoltaic (PV)Photovoltaic/thermal (PV/T) hybrid systems

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Area of Science:

  • Renewable Energy Engineering
  • Sustainable Energy Systems
  • Solar Energy Technology

Background:

  • Photovoltaic (PV) systems face efficiency limitations due to thermal dissipation, with significant energy lost as heat.
  • Hybrid photovoltaic/thermal (PV/T) systems offer a potential solution by utilizing both electrical and thermal energy.
  • There is a growing demand for clean energy solutions driven by the global energy transition.

Purpose of the Study:

  • To present a comprehensive dataset from co-located PV and PV/T systems under realistic residential conditions.
  • To provide a foundation for analyzing and comparing the energy performance of PV and PV/T technologies.
  • To support future research on optimizing solar energy systems for efficiency and techno-economic feasibility.

Main Methods:

  • Collected detailed electrical (voltage, current, power) and thermal (fluid temperatures, mass flow rates) data from PV and PV/T modules.
  • Recorded environmental parameters including solar irradiance, ambient temperature, and wind speed.
  • Acquired data at one-minute intervals with high-frequency sampling (20 times per interval) over 23 days.

Main Results:

  • A dataset comprising 23 days of high-resolution measurements from two distinct solar systems (PV and PV/T) is now available.
  • The data captures electrical outputs, thermal performance indicators, and crucial environmental variables.
  • The dataset reflects real-world residential energy and hot water consumption patterns.

Conclusions:

  • The presented dataset is crucial for research and development in solar energy, enabling detailed efficiency investigations.
  • It provides a basis for modeling, simulation, and validation of PV and PV/T systems.
  • The data will facilitate the development of advanced control strategies to maximize combined thermal and electrical efficiency.