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Dataset results
22 results for “smart tool”
Supplementary material for "AR-assisted timber drilling with smart retrofitted tools"
<p>The dataset contains point clouds from 3D scans, reconstructed 3D data, and statistical data analysis, which are intended as complementary material for the publication "AR-assisted timber drilling with smart retrofitted tools". </p>
ultraLM and miniLM: Locator tools for smart tracking of fluorescent cells in correlative light and electron microscopy
<p>Data for submission to Wellcome Open Research entitled "ultraLM and miniLM: Locator tools for smart tracking of fluorescent cells in correlative light and electron microscopy".</p> <p>Data_ultraLM.tif is an image stack from the fluorescence microscope mounted on the ultramicrotome.</p> <p>Data_miniLM.tif is an image stack from the fluorescence microscope mounted in the SBF-SEM.</p> <p>Data_miniLM_EM.tif is an image stack from the SBF-SEM while the miniLM was in-situ.</p>
Sparkman: A Smart Parking Management Tool For University Campuses
<p>PI Kelvin Cheu and his students have developed a total parking demand model for students and a “base price” model for student parking permits based on data gathered from an internet survey on parking at 208 university campuses across the United States. This project aims to develop a student parking lot zoning and zone permit pricing model, and then integrate the total demand model, “base price” model and the zoning model into a software tool named Sparkman, which can be used by all university parking offices.</p>
Methacrylated Gellan gum hydrogel: a smart tool to face complex problems in the cleaning of paper materials
<p>Data presented in the article entitled <strong>Methacrylated Gellan gum hydrogel: a smart tool to face complex problems in the cleaning of paper materials</strong></p>
Data from: Smart nest box: a tool and methodology for monitoring of cavity-dwelling animals
1.Camera recording and video analysis have emerged as a successful non-invasive method for collecting a wide range of biological data on many different taxa of animals. However, camera monitoring has rarely been applied to long term surveillance of cavity or box-nesting species and ordinary off-the-shelf cameras are employed. 2.We present methodology and data on the effectiveness of nest box monitoring using a camera system embedded in four "smart nest boxes" (SNBoxes). We applied the SNBoxes to eight Tengmalm's owl (Aegolius funereus) nests in the Czech Republic during a five-month period in 2014. Each SNBox consisted of a pair of cameras with infrared lighting, an event detector, a radio-frequency identification reader, auxiliary sensors, and a 60 Ah 12 V battery to power the whole system. All devices used were centrally managed by an embedded computer with specifically developed software. 3.Using four SNBoxes, we observed owl nesting continually during the incubation, nestling, and fledgling phases, in total 309 days, resulting in 3382 owl video events. Batteries were changed every 6.5 days. A memory of 4 GB was found sufficient to store monthly data. We identified 12 types of male and female parental activities and their timing, the diet composition and frequency of prey delivery, the manner of prey storage, the light intensity at the time of each parental activity, the temperature inside the clutch and outside the box, and the duration of nestling period of each young. We also produced a video on owl nesting for the general public. 4.The SNBox and related methodology show enormous potential as a non-invasive tool for monitoring animals using boxes or natural cavities. The main advantage of the SNBox is the possibility to study both nocturnal and diurnal animal species and great flexibility in use of the software and hardware for different tasks. As a result, the SNBox provides an opportunity for novel insights into the breeding, roosting, hibernating, and food storage activities of a wide range of cavity-living birds, mammals, and reptiles.
# Artifact: Smart Contract and DeFi Security Tools: Do They Meet the Needs of Practitioners?
<p>This artifact complements the ICSE'24 paper titled "Smart Contract and DeFi Security Tools: Do They Meet the Needs of Practitioners?" by providing comprehensive resources for reproducing and extending its research findings. The artifact includes 'retro.db', a database of 127 DeFi attacks discussed in sections 4.1 and 4.2 of the paper. This database comprises data on the attacks and the outcomes derived from various analysis tools applied to the vulnerable contracts. Additionally, it provides thorough instructions on how to reapply these tools to the dataset, as well as guidance on integrating and running additional tools. Finally, it includes anonymized responses from the survey participants, which are used to recreate the analysis presented in sections 4.3, 4.4, and 4.5. </p>
Empirical Review of Automated Analysis Tools on 47,587 Ethereum Smart Contracts
<p>This dataset contains the full output of the execution of 9 state-of-the-art automated analysis tools on 47,518 Solidity contracts.</p> <p>The data structure is as follows</p> <pre><code>├─ results │ └─ <tool_name> │ └─ <dataset_name> │ └─ <contract_address> │ ├─ <result.log> # stdout of the analysis │ └─ <result.json> # parsable output analysis</code></pre> <p> </p>
Datasets for Digital tools and gamification to improve the consumers' waste recycling activity in smart cities
<p>In the data description you can find following:</p> <p>1 Methods of choosing participants</p> <p>2 Translations of survey questions<br>2.1 Survey A<br>2.2 Survey B<br>2.3 Survey C</p> <p>3 Demographic analysis<br>3.1 Respondents' age<br>3.2 Household sizes and dwelling types</p>
An Empirical Evaluation of the Effectiveness of Smart Contract Verification Tools - Supplemental Material
<p>An Empirical Evaluation of the Effectiveness of Smart Contract Verification Tools - Supplemental Material</p>
Smart Pain Assesment Tool Based on Internet of Things
ClinicalTrials.gov study NCT03061240. IPD Sharing: UNDECIDED. Countries: 1. Publications: 4.
Standardized Application of Feeding Evaluations Using SMART Tool
ClinicalTrials.gov study NCT07136610. IPD Sharing: NO. Countries: 1. Publications: 17.
Smart Phone as a Screening and Evaluation Tool to Identify Knee Valgus During Dynamic Activities
ClinicalTrials.gov study NCT02167399. IPD Sharing: Not stated. Countries: 1. Publications: 2.
Data from: Smart nest box: a tool and methodology for monitoring of cavity-dwelling animals
Open the record for dataset details and reuse information.
SMART(SiMulAtion and ReconsTruction) PET: An efficient PET simulation-reconstruction tool
<p>In this repository you can find the matlab scripts I used to make the data analysis of the paper SMART(SiMulAtion and ReconsTruction) PET: An efficient PET simulation-reconstruction tool. Furthermore, you can find the simulated, as well as the scanned data sets of the NEMA-IQ.</p> <p>Moreover, you can find the EARL analysis tool (iqq_optim_....sav), the simulation tool (reconsimulation_....sav) and the program to modifiy the Digital Reference Object (DRO) (IQ_DRO_Modifier.sav).</p> <p>The best is, to download the .zip file SMART.zip which contains an executable of the IQ_DRO_Modifier and SMART PET.</p> <p>For any questions, please contact:</p> <p>e.a.g.pfaehler@umcg.nl or</p> <p>r.boellaard@umcg.nl</p>
Supplementary material 1 from: Martoni F, Smith RL, Piper AM, Nancarrow N, Aftab M, Trebicki P, Kimber RBE, Rodoni BC, Blacket MJ (2023) Non-destructive insect metabarcoding as a surveillance tool for the Australian grains industry: a first trial for the iMapPESTS smart trap. Metabarcoding and Metagenomics 7: e95650. https://doi.org/10.3897/mbmg.7.95650
All the taxa (ASVs) recorded in this study
Supplementary material 2 from: Martoni F, Smith RL, Piper AM, Nancarrow N, Aftab M, Trebicki P, Kimber RBE, Rodoni BC, Blacket MJ (2023) Non-destructive insect metabarcoding as a surveillance tool for the Australian grains industry: a first trial for the iMapPESTS smart trap. Metabarcoding and Metagenomics 7: e95650. https://doi.org/10.3897/mbmg.7.95650
Species accumulation curve
Recording Cyclist Crashes and Long-term Injury Consequences by New Smart Tools
ClinicalTrials.gov study NCT06710054. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Gait and Posture Analysis in Hemiparetic Patients Through Optoelectronic Systems, "Smart" Tools and Clinical Evaluation
ClinicalTrials.gov study NCT05801874. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Psychometric Properties of the SMART Feeding Tool
ClinicalTrials.gov study NCT05729828. IPD Sharing: NO. Countries: 1. Publications: 0.
Turkish Version of the Smart Tools Proneness Questionnaire
ClinicalTrials.gov study NCT06148987. IPD Sharing: Not stated. Countries: 1. Publications: 0.
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.