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722 results for “use case”

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zenodo32/100

Fig. 2 in Pretrained Convolutional Neural Networks Perform Well in a Challenging Test Case: Identification of Plant Bugs (Hemiptera: Miridae) Using a Small Number of Training Images

Fig. 2. Schematic representation of the networks used. On top are the convolutional layers of VGG16, grouped into five blocks. Output of each Max Pooling layer is fed into Global Average Pooling layer. Numbers near each block name indicate number of features in the Global Average Pooling layer. Height of layers roughly corresponds to resolution (except for Global Average Pooling layer), while width roughly corresponds to the number of feature maps or features produced.Then, in approach A, outputs of five blocks are concatenated and passed to the linear classifier. In approach B, output of only one block (block 3 in the final configuration) is passed to the linear classifier. In approach C CNN outputs are as in approach A, but instead connected to a DNN with two layers of 320 fully connected (FC) neurons followed by a prediction layer (PL), with number of neurons equal to number of species classified. Finally, approach D features CNN as in approach B which is connected to DNN as in approach C.

opennotspecifiedMar 2021View details →
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Fig. 1 in Pretrained Convolutional Neural Networks Perform Well in a Challenging Test Case: Identification of Plant Bugs (Hemiptera: Miridae) Using a Small Number of Training Images

Fig. 1. Dorsal habitus photos of males and females of Tuxedo spp., Pygovepres vaccinicola, and Phallospinophylus setosus generated for and used in this study.

opennotspecifiedMar 2021View details →
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Fig. 4 in Pretrained Convolutional Neural Networks Perform Well in a Challenging Test Case: Identification of Plant Bugs (Hemiptera: Miridae) Using a Small Number of Training Images

Fig. 4. Validation accuracy and accuracy on test data for SVM linear classifier (A, B) and DNN approaches (C, D) for the three datasets.

opennotspecifiedMar 2021View details →
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Fig. 3 in Pretrained Convolutional Neural Networks Perform Well in a Challenging Test Case: Identification of Plant Bugs (Hemiptera: Miridae) Using a Small Number of Training Images

Fig. 3. Identification accuracy for the male (top) and female (bottom) Tuxedo dataset for the five selected resolutions and the individual blocks 1–5 and the concatenated block.

opennotspecifiedMar 2021View details →
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Supplementary data- Detailed Geogenic Radon Potential Mapping Using Geospatial Analysis of Multiple Geo-variables. A Case Study from a High-Risk Area in SE Ireland.

<p>Supplementary Data: all the data produced and used, statistical analysis, mathematical proofs diagnostic tests, regression models and additional charts and tables</p> <p>Detailed Geogenic Radon Potential Mapping Using Geospatial Analysis of Multiple Geo-variables. A Case Study from a High-Risk Area in SE Ireland.&nbsp;</p>

opencc-by-4.0Oct 2022View details →
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Cases used in EMRNA tutorial

<p>EMRNA: Accurate RNA structure determination from cryo-EM maps by deep learning and integrated modeling.</p> <p>Here stores the 4 cases used in the EMRNA tutorial.</p>

opencc-by-4.0Dec 2023View details →
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Supplementary material for "Can the anisotropic hydraulic conductivity of an aquifer be determined using surface displacement data? A case study"

<p>Supplementary material for &rdquo;Can the anisotropic hydraulic conductivity of an aquifer be determined using surface displacement data? A case study".</p> <p>The <a href="https://github.com/sonasalehian/AHC-Poroelastic-Model.git" target="_blank" rel="noopener">AHC-Poroelastic-Model</a> codes from repository is included in the AHC-Poroelastic-Model-main.zip file.</p>

openlgpl-3.0-or-laterApr 2024View details →
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Investigating radar data assimilation for winter cases using ICON-KENDA system

<p>hydro+wind.zip for data of hydrometeors, horizontal wind and vertical velocity<br>feedback_files.zip for feedback files of the data assimilation cycling<br>forecast.zip for verification scores of the ensemble forecasts</p>

opencc-by-4.0May 2024View details →
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Shear Sonic Prediction Using Supervised Machine Learning: Case Study Talang Akar Formation

<p>This material has presented on 2nd International Conference on Advanced Research in Engineering and Technology in October 25, 2023.</p>

opencc-by-4.0Jun 2024View details →
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Equipment Design for a Small Binary System Power Plant Using Geothermal Heating Fluid A Case Study

<p>This material has presented on 2nd International Conference on Advanced Research in Engineering and Technology in October 25, 2023.</p>

opencc-by-4.0Jun 2024View details →
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MARTENS framework: examples of DNN mispredictions discovered for the two use cases

<p>The folder contains examples of the mispredicitons of the DNN models discoverd for the two use cases studied as a part of development of MARTENS framework at Sycodal.</p>

opencc-by-4.0Jul 2024View details →
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Data set supplementing "A Use-Case Specific Framework for Designing Representative Vignettes (RepVig) and Evaluating Triage Accuracy of Laypeople and Symptom-Assessment Applications"

<p>This is the de-identified data set used to conduct the analyses of our study "A Use-Case Specific Framework for Designing Representative Vignettes (RepVig) and Evaluating Triage Accuracy of Laypeople and Symptom-Assessment Applications" (<a href="https://doi.org/10.1101/2024.04.02.24305193">https://doi.org/10.1101/2024.04.02.24305193</a>). The data comprises the answers to cases given by laypeople, symptom-assessment applications, and large language models and the corresponding solutions for each case. The cases were developed in the study with a focus on external validity.</p> <p>The dataset contains three datafiles: collected data for laypeople, for symptom-assessment applications, and for large language models.&nbsp;</p>

opencc-by-4.0Jul 2024View details →
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The Ring: Worst-Case Optimal Joins in Graph Databases using (Almost) No Extra Space

<p><strong>wikidata-filtered-enumerated: </strong>Wikidata subgraph with 81,426,573 triples</p> <p><strong>wikidata-ring:&nbsp;</strong>Wikidata graph with 958,844,164 triples. The compressed file contains the mapping from subject/objects (.SO) and predicates (.P)</p>

opencc-by-4.0Jul 2024View details →
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Small craters population as a useful geological investigative tool: Apollo 17 region as a case study - Craters Data

<p>Crater coordinates for areas under investigation. Unit names ref. to paper.</p> <p>Data format: Lat,Lon,Diam_km,Diam_m and Area in Km^2</p>

opencc-by-4.0Feb 2019View details →
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Experiment - Lab Package SMartyModeling vs. Astah - Use cases

<p>Experiment - Lab Package SMartyModeling vs. Astah - Use cases</p>

opencc-by-4.0Jul 2018View details →
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APPENDIX. GenBank accession numbers of all DNA sequences of Cophyla used in this study. NA, not applicable. Asterisks mark cases where sequences from different samples were combined to chimeric terminals for analysis. in Description of the lucky Cophyla (Microhylidae, Cophylinae), a new arboreal frog from Marojejy National Park in north-eastern Madagascar

APPENDIX. GenBank accession numbers of all DNA sequences of Cophyla used in this study. NA, not applicable. Asterisks mark cases where sequences from different samples were combined to chimeric terminals for analysis.

opennotspecifiedAug 2019View details →
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SECANT Innovations - The 4 Use Cases

Open the record for dataset details and reuse information.

opencc-by-4.0Aug 2024View details →
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An Exploratory Study on Code Quality, Testing, Data Accuracy, and Practical Use Cases of IoT Wearables

<p>Data used in IoT Wearable Study</p>

opencc-by-4.0Sep 2024View details →
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Adaptive planning for assistive-care robotic missions - use case 1

<p>Videos of scenarios A and B from Use Case 1 (UC1), recreated in a digital environment using the <a href="https://gazebosim.org/home">Gazebo</a> simulator and our adaptive path-finding framework.</p>

opencc-by-4.0Sep 2024View details →
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A method for conveying confidence in iNaturalist observations: a case study using non-native marine species

<p>This data and code supports the paper Ackland et al.&nbsp; &nbsp;A method for conveying confidence in iNaturalist observations: a case study using non-native marine species&nbsp;</p>

opencc-by-4.0Apr 2024View details →

ScienceDex guides

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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.

Compare curated 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.

allen-brain-atlas
neuroscienceopenDocumentation, web resources, and API references are available online.
Last verified 2026-04-30Open record

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.

abode-home-cage
behavioral-neuroscienceopenThe DataShare record exposes download links for annotations, documentation, license text, and the zipped per-snippet data directory.
Last verified 2026-04-30Open record

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.

dandi-nwb
electrophysiologyopenPublished Dandiset metadata and archive endpoints are available through the production DANDI API.
Last verified 2026-04-30Open record

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.

ibl
behavioral-neuroscienceopenPublic sessions can be searched and loaded from the IBL public data server through ONE.
Last verified 2026-04-29Open record

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.

openneuro
neuroscienceopenPublished datasets are available on demand over the internet.
Last verified 2026-04-29Open record