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6 results for “commercial buildings”
COD: A Dataset of Commercial Building Occupancy Traces
<p>The Commercial Occupancy Dataset (COD) is a high-resolution long-term dataset of occupancy traces in a commercial office building spanning 9 months and covering room-level occupancy for three different spaces (two conference rooms and one open-plan space) containing more than 90,000 enter/exit events over this time period. Occupancy data in a building contains rich spatial-temporal information about the users and their usage of the space and facilities. However, obtaining accurate occupancy data is a very challenging task due to the limitation of existing sensing technologies. A novel depth-imaging based solution to estimate occupancy counts was deployed in four doorways of an office building to generate the dataset. We envision the dataset being used for diverse applications such as building energy simulation, occupancy modeling and human-in-the-loop HVAC control which enhance energy efficiency and human comfort.</p> <p>Each folder in the dataset represents data from a single building. Inside the folder there will be separate comma-separated value (CSV) files, one for each monitored room within the building. Each CSV file contains an entry for every entrance and exit events that was estimated by the sensor(s) corresponding to the room in question. In turn, each one of these entries in the dataset (i.e., each line in the file) contains three fields in this order: date (m/dd/yy), time (HH:MM:SS) and occupancy count. </p>
Data from hydronic heating systems in 216 commercial buildings
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Effect of Project Management on Success of Mergers and Acquisitions of Companies in Rwanda: case of Investment Finance / Commercial Buildings Project of KCB and Rural Sector Support Project of BPR (2020-2023).
<h1><span><br></span></h1> <p><span>Background: the study aimed to assess the impact of project management on the success of mergers and acquisitions in Rwandan companies, focusing on the Investment Finance/Commercial Buildings project of KCB and the Rural Sector Support Project of BPR. The specific objectives included examining the effects of project timeline management, project budget management, project human resource management, project quality planning management, and project risk assessment on the success of mergers and acquisitions. <span> </span>Methods: The research utilized descriptive and correlative research designs, employing a mixed approach of qualitative and quantitative methods. Data were collected from a population of 237 individuals, with a sample size of 149 selected through stratified and purposive sampling. Statistical Package for the Social Sciences (SPSS) version 23.0 was used for data processing and analysis, employing descriptive statistics, correlation, and multiple linear regression analysis. Findings: The correlation analysis revealed significant and positive relationships between the independent variables (X1, X2, X3, X4, and X5) and the dependent variable </span><span>(Y - success of mergers and acquisitions). Effective timeline management (X1) demonstrated a significant positive correlation (Pearson Correlation = 0.476), emphasizing its importance for project success. Project budget management (X2) also exhibited a significant positive correlation (Pearson Correlation = 0.583), highlighting the value of budget management. Efficient human resource management (X3) showed a significant positive correlation (Pearson Correlation = 0.522), underscoring the role of human resources in project success. Effective quality planning management (X4) displayed a significant positive correlation (Pearson Correlation = 0.621), emphasizing the importance of quality planning. Thorough project risk assessment (X5) had a significant positive correlation (Pearson Correlation = 0.671), stressing the role of risk assessment in achieving success. Conclusion: all independent variables (X1, X2, X3, X4, and X5) were found to be positively and significantly correlated with the success of merger and acquisition projects. These results underscore the crucial role of project management factors, including timeline management, budget management, human resource management, quality planning management, and risk assessment, in determining the success of mergers and acquisitions in Rwandan companies. Recommendations: Based on the findings, it is recommended that companies engaged in mergers and acquisitions in Rwanda prioritize effective project management strategies, focusing on timeline management, budget management, human resource management, quality planning management, and risk assessment. Implementing robust project management practices can enhance the likelihood of successful outcomes in the context of mergers and acquisitions. Additionally, organizations are encouraged to invest in training and development programs to build the necessary skills and competencies in project management for their personnel involved in such strategic initiatives.</span></p>
A CLOSE-UP LOOK AT THE CHEMICAL SPACE OF COMMERCIALLY AVAILABLE BUILDING BLOCKS FOR MEDICINAL CHEMISTRY
<p>The ability to efficiently synthesize desired compounds can be a limiting factor for chemical space exploration in drug discovery. This ability is conditioned not only by the existence of well-studied synthetic protocols but also by the availability of corresponding reagents, so-called building blocks (BB). In this work, we present a detailed analysis of the chemical space of 400K purchasable BB. The chemical space was defined by corresponding synthons – fragments contributed to the final molecules upon reaction. They allow an analysis of BB physicochemical properties and diversity, unbiased by the leaving and protective groups in actual reagents. The main classes of BB were analyzed in terms of their availability, rule-of-two-defined quality, and diversity. Available BBs were eventually compared to a reference set of biologically relevant synthons derived from ChEMBL fragmentation, in order to illustrate how well they cover the actual medicinal chemistry needs. This was performed on a newly constructed universal generative topographic map of synthon chemical space, allowing to visualize both libraries and analyze their overlapping and library-specific regions.</p> <p>The dataset includes annotated synthons extracted from ChEMBL and publicly available.</p>
Ranking Variable Importance for US Commercial Buildings via Sensitivity Analysis of Building Energy Models
<p>This zip file contails all code and simulation results which was used for the analysis. </p>
Data from: Occupant satisfaction with the indoor environment in seven commercial buildings in Singapore
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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.