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51 results for “design of experiments”
Design and performance of an ecosystem-scale forest soil warming experiment with infrared heater arrays
<p><span>How forest ecosystems respond to climate warming will determine forest trajectories over the next 100 years. However, the potential effects of elevated temperature on forests remain unclear, </span><span>primarily because of the absence of long-term and large-size field warming experiments in forests, especially in Asia.</span></p> <p><span>Here, we present the design and performance of an ecosystem-scale warming experiment</span><span> using an infrared (IR) heater array in a 60-year-old temperate mixed forest at Qingyuan Forest CERN in northeastern China.</span></p> <p><span>In paired </span><span>108 m<sup>2</sup> plots (n = 3),</span><span> the surface soils were constantly elevated 2 degrees</span><span> above control plots with a feedback control system over four years (2018-2021). Subsoils down to 60 cm depth were warmed 1.2-2 degrees</span><span>. Soil warming did not affect soil moisture either in surface soils or subsoils. Turn-off time due to weather extremes (heavy rains, snow) and power outages only accounted for 2.5% of the total warming period.</span></p> <p><span>In conclusion, we provide a proof-of-principle setup that allows long-term analysis of forest response to warming temperatures in large-size field plots. Importantly, our warming experiment demonstrated the feasibility of IR heater arrays for soil warming in tall-statured forest ecosystems.</span></p>
Replication package: 40 Years of Designing Code Comprehension Experiments: A Systematic Mapping Study
<p>Replication package | 40 Years of Designing Code Comprehension Experiments: A Systematic Mapping Study</p>
Data set from the design of experiment assessment rubric, from university students / future teachers
<p>Using an assessment rubric comprising three levels of success, we evaluated six aspects of designing an experiment, which we call dimensions. This way, specific challenges were identified in two of the dimensions: forming a hypothesis and manipulating the experimental variables, where students often failed to succeed and get lower scores.</p> <p>The data presented here were collected from four (4) diagnostic worksheets, which were made available to students at the beginning of the semester, where a theoretical introduction to the course is given, with reference to learning theories and their use in the teaching of Physics. Therefore, data were collected prior to discussions about the inquiry-based approach, experimental investigations, and the scientific content, such as the concepts and phenomena mentioned in the worksheets. </p> <p>For the present study, we slightly modified and used a rubric that has been proposed to assess the DoE by primary and secondary school students (Lefkos et al., 2011). The modified rubric, has already been tested in a pilot study with fruitful results (Lefkos, 2024).</p> <p>Lefkos, I. (2024). An Assessment Rubric for Future Teachers’ Ability to Design Experiments. In C. Fazio & P. Logman (Eds.), <em>Challenges in Physics Education</em> (pp. 105–117). Springer. https://doi.org/10.1007/978-3-031-48667-8_7</p> <p>Lefkos, I., Psillos, D., & Hatzikraniotis, E. (2011). Designing experiments on thermal interactions by secondary-school students in a simulated laboratory environment. <em>Research in Science & Technological Education</em>, <em>29</em>(2), 189–204. https://doi.org/10.1080/02635143.2010.533266</p>
Artifact: Incorporating Failure Knowledge into Design Decisions for IoT Systems: A Controlled Experiment on Novices
<p>Artifact for "Incorporating Failure Knowledge into Design Decisions for IoT Systems: A Controlled Experiment on Novices"</p>
Designing single-cell experiments to harvest fluctuation information while rejecting measurement noise
<p>Numerical simulation outputs and model schematic figures for the Python portion (main text 3.1 and Supporting Information) in the preprint <em>Analysis and design of single-cell experiments to harvest fluctuation information while rejecting measurement noise</em> Huy D. Vo, Linda Forero, Luis Aguilera, Brian Munsky bioRxiv doi: https://doi.org/10.1101/2021.05.11.443611</p>
Establishing foundations: Designing a long-term experiment to evaluate whether nestboxes assist population recovery of an endangered species after fire
Open the record for dataset details and reuse information.
Design and performance of an ecosystem-scale forest soil warming experiment with infrared heater arrays
Open the record for dataset details and reuse information.
Modelling Multi-tier Enterprise Applications Behaviour with Design of Experiments Technique
<p>Dataset and scripts for the QUDOS'15 paper ' Multi-tier Enterprise Applications Behaviour with Design of Experiments Technique'.</p>
Do Design Rules Have an Impact on the Understandability of RESTful APIs? A Web-Based Experiment with API Descriptions
<p>This repository contains materials of a controlled experiment with 105 participants that studied the impact of design rules on the understandability of RESTful APIs.</p> <p>The following materials are provided:</p> <ul> <li>The data set (<code>results.csv</code>) with a description (<code>data-set-description.md</code>)</li> <li>The cleaning protocol (<code>data-cleaning-protocol.md</code>)</li> <li>The R analysis script (<code>analysis.R</code>)</li> <li>The two OpenAPI documents used as the foundation for the experiment <ul> <li>Adhering to the rules: <code>openapi-rules.yaml</code></li> <li>Violating the rules: <code>openapi-violations.yaml</code></li> </ul> </li> </ul>
Anexos de la comunicación: Design and validation of an instrument for the evaluation of educational innovation experiences published in professional teaching journals.
<p>Anexos de la comunicación: Design and validation of an instrument for the evaluation of educational innovation experiences published in professional teaching journals, presentada para el VII Congreso Internacional sobre Aprendizaje, Innovación y Cooperación (CINAIC 2023). 18-20 Octubre 2023, Madrid, ESPAÑA</p> <p> </p>
Artificial Intelligence Based Autonomous Socket Proposal Program: Socket Design Experiences
ClinicalTrials.gov study NCT05341674. IPD Sharing: NO. Countries: 1. Publications: 4.
Data from: Guidelines and considerations for designing field experiments simulating precipitation extremes in forest ecosystems
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Data from: A revised design for microarray experiments to account for experimental noise and uncertainty of probe response
Background: Although microarrays are analysis tools in biomedical research, they are known to yield noisy output that usually requires experimental confirmation. To tackle this problem, many studies have developed rules for optimizing probe design and devised complex statistical tools to analyze the output. However, less emphasis has been placed on systematically identifying the noise component as part of the experimental procedure. One source of noise is the variance in probe binding, which can be assessed by replicating array probes. The second source is poor probe performance, which can be assessed by calibrating the array based on a dilution series of target molecules. Using model experiments for copy number variation and gene expression measurements, we investigate here a revised design for microarray experiments that addresses both of these sources of variance. Results: Two custom arrays were used to evaluate the revised design: one based on 25 mer probes from an Affymetrix design and the other based on 60 mer probes from an Agilent design. To assess experimental variance in probe binding, all probes were replicated ten times. To assess probe performance, the probes were calibrated using a dilution series of target molecules and the signal response was fitted to an adsorption model. We found that significant variance of the signal could be controlled by averaging across probes and removing probes that are nonresponsive or poorly responsive in the calibration experiment. Taking this into account, one can obtain a more reliable signal with the added option of obtaining absolute rather than relative measurements. Conclusion: The assessment of technical variance within the experiments, combined with the calibration of probes allows to remove poorly responding probes and yields more reliable signals for the remaining ones. Once an array is properly calibrated, absolute quantification of signals becomes straight forward, alleviating the need for normalization and reference hybridizations.
Video of on-ground experiments: Design and Implementation of Auto Car Driving System With Collision Avoidance
<p>The project presents designing and manufacturing the hardware and software of a low-cost robotic system, which can be installed into any petrol car with an automatic gearbox, giving the ability to a car to be driverless. <br> This video is from several on-ground experiments were performed during the last year.</p>
Supplementary Material for "For Us By Us": Intentionally Designing Technology for Lived Black Experiences
<div>Supplementary Material for "For Us By Us": Intentionally Designing Technology for Lived Black Experiences which allows others to reproduce and extend the results presented in the paper.</div> <p>While there has been an increase in understanding how people across racial groups create community across different platforms, there is still a lack of studies that explicitly center on how Black technologists design with and for their own communities.</p> <p>In this paper, we present findings from a series of semi-structured interviews with Black technologists that have used, created, or curated resources to support lived Black experiences</p> <p>This database contains supplemental materials used in our study.</p>
Database associated with deliverable SORUS-RIS-A2.1-E2 "Experiment Design and Development"
<p>Database associated with deliverable SORUS-RIS-A2.1-E2.</p>
Supplementary Material for "For Us By Us": Intentionally Designing Technology for Lived Black Experiences
<div>Supplementary Material for "For Us By Us": Intentionally Designing Technology for Lived Black Experiences which allows others to reproduce and extend the results presented in the paper.</div> <p>While there has been an increase in understanding how people across racial groups create community across different platforms, there is still a lack of studies that explicitly center on how Black technologists design with and for their own communities.</p> <p>In this paper, we present findings from a series of semi-structured interviews with Black technologists that have used, created, or curated resources to support lived Black experiences</p> <p>This database contains supplemental materials used in our study.</p>
An Optimization Framework to Combine Operable Space Maximization with Design of Experiments - Data
<p>Data from figures to accompany paper</p>
Integrating Novel Stellarator Single-Stage Optimization Algorithms to Design the Columbia Stellarator Experiment - Dataset
<p>Data related to the publication by A. Baillod <em>et.al., </em>Integrating Novel Stellarator Single-Stage Optimization Algorithms to Design the Columbia Stellarator Experiment, https://arxiv.org/abs/2409.05261</p>
The Experiences of Erotic and Sexual Risk of Transgender Men: Exploratory Research Design
ClinicalTrials.gov study NCT05187442. IPD Sharing: Not stated. Countries: 1. Publications: 0.
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.