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7,378 results for “case”
openENTRANCE - Case Study 3 - Need for flexibility - Storage - version 21062023
<p>This dataset partially comprises the main results of case study 3 of the openENTRANCE project. Additionally, input data related to the power generation system and renewables profiles are included in the dataset.</p>
On the importance of additional behavioral observation in behavioral psychopharmacology research: a case study on agomelatine's effects on feedback sensitivity in probabilistic reversal learning test in rats (data&code)
<p>Dataset to the manuscript entitled: On the importance of additional behavioral observation in behavioral psychopharmacology research: a case study on agomelatine's effects on feedback sensitivity in probabilistic reversal learning test in rats. Code in R used for analysis data from probabilistic reversal learning (PRL) test performed in operant conditioning boxes. Script analyzes data files from MED-PC IV software.</p>
Results for plan4EU runs in Case STudy 4 of the Open ENTRANCE project
<p>This dataset contains scenarios results for Case Study 4 of the openENTRANCE project.</p> <p>Visit the openENTRANCE Scenario Explorer at <a href="https://data.ene.iiasa.ac.at/openentrance">https://data.ece.iiasa.ac.at/openentrance</a> for more information.</p>
Motor dc data study case
<p>These data were generated to support the master's thesis on the capabilities to store data from a device.</p> <p>The data has not been completed.</p>
APPENDIX 13 in Detangling the effects of patch attributes on bryophyte diversity in fragmented subtropical secondary forests - a case study of land-bridge islands
APPENDIX 13. — Islands with multi-long branched appearance in the Thousand Island Lake, China.
Theoretical study of stability of halogen defective trihalide monolayers: cases of AlI3, AsI3 and IrBr3
<p>Please see ref:</p> <p>Lu, L.; Botella, R.; Cao, W. <em>Phys. Status Solidi B</em> <strong>2023</strong>, 2300001</p> <p>For more information about the dataset.</p>
Quantifying the potential epidemiological impact of a two-year active case finding for tuberculosis in rural Nepal: A model-based analysis
<p>Includes data and codes for the manuscript entitled: <strong>Quantifying the potential epidemiological impact of a two-year active case finding for tuberculosis in rural Nepal: A model-based analysis</strong></p> <div> <div> <div> <p>doi:10.1136/ bmjopen-2022-062123</p> </div> </div> </div>
AN INDEX TO QUANTIFY DISPARITIES IN PUBLIC POTABLE WATER AND WASTEWATER TREATMENT SYSTEMS: THE TENNESSEE CASE STUDY
<p>Data sets and code used in "An Index to Quantify Disparities in Public Potable Water and Wastewater Treatment Systems: The Tennessee Case Study" </p>
Technical Architecture Diagram case Reengineering FRS web
<p>Technical architecture adalah perancangan struktur teknis sistem, termasuk pemilihan teknologi, infrastruktur, dan komponen-komponen yang akan digunakan. Tahapan ini disusun dengan acuan rumusan solusi yang sudah dirancang sebelumnya</p>
Class Diagram case Reengineering FRS web
<p>Domain model yang telah dibuat sebelumnya dapat dikembangkan lebih lanjut menjadi class diagram. Class diagram digunakan untuk menggambarkan struktur statis dari sistem, termasuk kelas-kelas yang ada, atribut-atribut mereka, serta hubungan dan interaksi antara kelas-kelas tersebut</p>
Sequence Diagram case reengineering FRS web
<p>sequence diagram dibuat berdasarkan use case specification yang telah disusun sebelumnya. Diagram ini menunjukkan urutan dan komunikasi antara objek-objek dalam sistem saat menjalankan skenario use case. Hal ini membantu dalam memvisualisasikan alur eksekusi sistem dan mengidentifikasi objek-objek yang terlibat dalam interaksi tersebut</p>
Use Case Spesification & Robustness Analysis diagram untuk load FRS
<p>Functional requirement sebelumnya akan dikembangkan menjadi sebuah use case specification, menurut iconix process kita perlu melakukan robust analysis terhadap semua use case yang akan kita kembangkan guna memastikan bahwa use case yang dirancang memiliki ketahanan dan konsistensi yang baik dalam menghadapi berbagai skenario dan situasi yang mungkin terjadi. Pada penelitian ini robust analysis tersebut digambarkan kedalam sebuah diagram. Berikut adalah hasil perancangan use case specification berdasarkan robust analysis yang dilakukan per masing masing use case yang akan dikembangkan</p>
Rancangan Use Case User Admin Dan mahasiswa
<p>berdasarkan hasil wawancara dan observasi mengenai kasus load frs SIAKAD ITS, disusunlah rancangan use case dari proses User Admin dan Mahasiswa selama pengisian FRS.</p>
Fig. 5 in Motor Stereotypic Behaviors In Zoo Rhesus Monkeys: A Case Study Of The Central Zoo, Kathmandu, Nepal
Fig. 5. Association between motor stereotypic and feeding behavior (Min. — minutes).
Design Of A Condition Monitoring System (CMS) For A Gas Compressor Using Shell Bonny Terminal As A Case Study
<p><strong>Subcontracted</strong> <strong>Researcher</strong> <strong>&</strong> <strong>Field</strong> <strong>Electrical</strong> <strong>and</strong> <strong>Electronics</strong> <strong>Engineer</strong>, <em>Shell</em> <em>Bonny</em> <em>Terminal, Nigeria</em>— 2013</p> <p>I served as a Hooks Electric subcontracted researcher and field electrical and electronics engineer at Shell Bonny Terminal, spearheading a groundbreaking project to design and construct a state-of-the-art software condition monitoring system (CMS) for a gas compressor. In addition to my technical responsibilities, I also took charge of integrating this innovative design into the existing SCADA (Supervisory Control and Data Acquisition) infrastructure of the plant.</p> <p>Working collaboratively with a team of four talented engineers, I successfully managed and coordinated their efforts throughout the project. Together, we leveraged our collective expertise to develop and implement a fully functional software condition monitoring system. This collaborative approach ensured that our project benefitted from diverse perspectives and skill sets, leading to a comprehensive and robust solution.</p> <p>Utilizing my proficiency in LabVIEW, C#, native C, Java and ActiveX library, I led the development of a cutting-edge data acquisition (DAQ) device for CM system. This device seamlessly captured sensor readings from the live gas compressor in real-time, while the systemic algorithm I designed skillfully tracked false alarms using fallback sensors. By monitoring critical parameters such as ambient and self-temperature, axial speed, vibration, inflow pressure, and outflow pressure, we were able to enhance the system's reliability and performance.</p> <p>Furthermore, I effectively integrated the software condition monitoring system into the plant's existing SCADA infrastructure, ensuring seamless communication and compatibility with the overall plant monitoring and control system. This integration facilitated centralized data management and provided comprehensive insights into the gas compressor's operation, enabling proactive maintenance and efficient decision-making.</p> <p>By successfully managing the team and overseeing the integration process, I ensured that our project aligned seamlessly with the plant's existing infrastructure, resulting in an optimized and harmonized system.</p> <p>Through our collective efforts, we delivered a highly sophisticated and fully integrated software condition monitoring system that significantly improved the management and performance of the gas compressor at Shell Bonny Terminal.</p> <p>I have curated all the resource files that will enable anyone replicate our work. This is shared under the CC-by-4 license.</p> <p>The LabVIEW codes are documented in Work.zip file and all manuals and equipment specifications have been uploaded. I have created a test bench to help anyone quickly test the LabVIEW software in simulation mode. </p> <p>I have also provided a slide presentation that summarizes our work, including methodologies and results.</p>
FD Simulator test parameters and results from NYC case study
<p>This repository gives the dataset for Fleet-Demand platform (FD platform). The full FD platform code description can be found <a href="https://github.com/BUILTNYU/Fleet-Demand-Platform/tree/main">here</a>.</p> <p>The files are under two categories:</p> <p>1. MATSim input file:</p> <p> "config-with-mode-vehicles-drt-tele_2_income.xml": configuration file defining input file names and parameters for MATSim in the initial cycle of FD platform cycle (cycle 0).</p> <p> "config-with-mode-vehicles-drt-tele_2_income_updated.xml": configuration file defining input file names and parameters for MATSim in FD platform cycles after the initial cycle.</p> <p> "population_large_two_drt_added.xml": initial trip plan containing 35000 agents with initially assigned ride-pooling services ("drt_1" and "drt_2"). The trip plan was extracted from the MATSim-NYC population file, which can be found here.</p> <p> "new_subpopulation_income_onefifth.xml": subpopulation file assigning agent to either "Low_Income" or "Not_Low_Income". The value of time (VOT) of the two groups are defined in the configuration file</p> <p> "separated-network_shrunk_clean.xml": Network file containing road and transit network of Manhatta, Brooklyn, and Queens. This network file is extracted from the MATSim-NYC network file.</p> <p>2. DVRPT input file</p> <p> "nyc_sub_nodes_update.csv": File defining the nodes that constructs the ride-pooling service area.</p> <p> "nyc_sub_network_update_new_1_27_max.csv": File defining the shortest path time cost for all node pairs.</p> <p> "nyc_sub_stops.csv": File defining the stops of the ride-pooling service.</p> <p> "nyc_sub_links.csv": File defining the links of the ride-pooling service area.</p>
Online appendix for "Leveraging Execution Trace with ChatGPT: A Case Study on Automated Fault Diagnosis" (New Ideas and Emerging Results Track in ICSME 2023)
<p>All the prompts we prepared for ChatGPT and the fault diagnosis results</p> <ul> <li>prompt_*: Prompt for ChatGPT <ul> <li>prompt_ChatGPT_setup_*.txt: Prompts to setup ChatGPT before starting the question to ChatGPT</li> <li>The other prompts: Prompts input to ChatGPT for fault diagnosis</li> </ul> </li> <li>result_*: Response from ChatGPT</li> <li>without_trace: Prompt or result when execution trace is not entered in ChatGPT</li> <li>with_trace: Prompt or result when execution trace is entered in ChatGPT</li> </ul>
FIG. 1 in Museum as a Refuge: the case of a Community Project in La Tatacoa desert in Colombia
FIG. 1. — Location of the Community Museum (La Victoria, Huila).
FIG. 4 in Museum as a Refuge: the case of a Community Project in La Tatacoa desert in Colombia
FIG. 4. — Photos of the exhibition: home-made Paleontology exhibit. Photo credits: Parque Explora.
Welcome-Introduction to the Workshop " A first approach to an ELSA Curriculum for Data Scientists The FAIR Data Spaces Project as a Use Case
<p>Welcome-Introduction to the Workshop " A first approach to an ELSA Curriculum for Data Scientists The FAIR Data Spaces Project as a Use Case", contains a brieff description of the FAIR Data Spaces project</p>
ScienceDex guides
Understand access before you commit
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.