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60 results for “restaurants”
Promoting Healthier Eating Among Children in Restaurants
ClinicalTrials.gov study NCT04334525. IPD Sharing: NO. Countries: 1. Publications: 1.
Impervious surface cover and number of restaurants shape diet variation in an urban carnivore
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KOnPoTe resources for boats and restaurants
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Trends in Smart Restaurant Research: Bibliometric Review and Research Agenda
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Signature of climate-induced changes in seafood species served in restaurants
<p><span><span><span><span>Climate change is causing shifts in biogeography of marine species, towards higher latitude, deeper waters, or following local temperature gradients. Such species distribution changes are affecting global fisheries through increasing the dominance of warmer-water preferred species as ocean temperature increases. Previous modeling analyses projected that climate-induced changes in seafood availability would affect the entire seafood chain. However, observed climate impacts on seafood retailers and consumers have rarely been demonstrated. Seafood restaurants usually rely on the supply of locally caught species, and thus the impacts of changing catches on the food they serve, and consequently on their diners, may be reflected in their menus. In this study, 362 restaurant menus from Vancouver, British Columbia, Canada, were collated and analyzed over four different time periods (1880–1960, 1961–1980, 1981–1996, and 2019–2021). Moreover, 148 present-day menus from two other cities north (Anchorage, AK, USA) and south (Los Angeles, CA, USA) of Vancouver were also collected. An index, herein called Mean Temperature of Restaurant Seafood (MTRS), was calculated from the average temperature preference of the species of seafood identified in the menus for each time period or location. Overall, the MTRS of menus from Vancouver increased from 10.7 ± 0.7 °C to 13.8 ± 1.0 °C (95% confidence intervals) between 1888–1960 and 2019–2021. Present-day MTRS was among the highest in Los Angeles (16.5 ± 1.7 °C) and lowest in Anchorage (9.6 ± 1.0 °C). The temporal and spatial variations in MTRS are significantly related to observed patterns of average sea surface temperature and the Mean Temperature of the Catch. This suggests that restaurant menus may be used as a complementary information source regarding changes in marine ecosystems and fisheries and the seafood sector's responses to these changes. This study also highlights the value of using unconventional information sources and their applications in the detection of climate impacts on oceans and their dependent human communities.</span></span></span></span></p>
Growth Dynamics and System Models for the Restaurant Industry: Data and Analysis from Taiwanese Chains
<p><span>This dataset includes raw and curated data, system dynamics models, and feedback loop diagrams used in the study of growth dynamics in the restaurant industry, focusing on Taiwanese chains. The data supports the findings presented in the paper "The Growth Dynamics of the Restaurant Industry from Single Store to Chain Store in Taiwan: A Systems Thinking Perspective.”</span></p>
A labeled dataset of hand-captured images of restaurant receipts
<p>Photographing fiscal receipts has become increasingly common with the rise of online storage and accounting services. However, capturing images in uncontrolled environments often leads to distortions that can compromise Optical Character Recognition (OCR) techniques, rendering the output text unreadable. To address this problem, we propose an open-source expert filtering approach based on low-level features to identify and discard low-quality invoice images, select high-quality images, and flag images that require preparation prior to being processed for OCR. The dataset used in this work is an extension of the <a href="https://expressexpense.com/blog/free-receipt-images-ocr-machine-learning-dataset/">Express Expense SRD dataset</a>, which consists of 200 hand-photographed images of restaurant receipts. The free version of the original dataset has no OCR task labels. Since this information is needed to calculate the accuracy of the OCR and to analyze the effects of the proposed approach, we created a new version of the existing dataset with manual annotations for the receipts and also for the four corners of the documents.</p> <p>More information can be found at the following link: <a href="https://github.com/MaVILab-UFV/Filtering-Preparation-for-OCR_SIBGRAPI-2024">https://github.com/MaVILab-UFV/Filtering-Preparation-for-OCR_SIBGRAPI-2024</a></p> <p>If you use this data, please cite our paper as follows </p> <p>Auad, Manoela; Alves, Sarah; Kakizaki, Gabriel; Reis, Julio C. S.; Silva, Michel. A Filtering and Image Preparation Approach to Enhance OCR for Fiscal Receipts. In 37th Conference on Graphics, Patterns and Images (SIBGRAPI), 2024.</p>
Robocup at Home 2024 Rosbags Dataset for restaurant
<p>Rosbag for the restaurant implementation from Gentlebots team in the Robocup at home 2024 OPL league competition. It contains the following topics: </p> <ul> <li><code>/say_text</code>: Type - <code>std_msgs/msg/String</code></li> <li><code>/tf</code>: Type - <code>tf2_msgs/msg/TFMessage</code></li> <li><code>/scan</code>: Type - <code>sensor_msgs/msg/LaserScan</code></li> <li><code>/tf_static</code>: Type - <code>tf2_msgs/msg/TFMessage</code></li> <li><code>/scan_raw</code>: Type - <code>sensor_msgs/msg/LaserScan</code></li> <li><code>/robot_description</code>: Type - <code>std_msgs/msg/String</code></li> <li><code>/joint_states</code>: Type - <code>sensor_msgs/msg/JointState</code></li> <li><code>/head_front_camera/rgb/image_raw</code>: Type - <code>sensor_msgs/msg/Image</code></li> <li><code>/head_front_camera/rgb/camera_info</code>: Type - <code>sensor_msgs/msg/CameraInfo</code></li> <li><code>/head_front_camera/depth/image_raw</code>: Type - <code>sensor_msgs/msg/Image</code></li> <li><code>/map</code>: Type - <code>nav_msgs/msg/OccupancyGrid</code></li> <li><code>/cmd_vel</code>: Type - <code>geometry_msgs/msg/Twist</code></li> </ul> <p>The files inside the .zip contain the logs file of the important system such as navigation nodes, controller nodes and action execution nodes, also there is a censored video with the people face blured.</p>
restaurator
Source: Objaverse 1.0 / Sketchfab
The Effect of a Descriptive Norm Promoting Vegetable Selection in a Workplace Restaurant Setting: an Observational Study
ClinicalTrials.gov study NCT02603263. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Climate Labels for Restaurant Menus Pilot
ClinicalTrials.gov study NCT06651060. IPD Sharing: NO. Countries: 1. Publications: 0.
Eco-labels on Restaurant Menus
ClinicalTrials.gov study NCT06584539. IPD Sharing: YES. Countries: 1. Publications: 1.
Salt Warning Label Restaurant Study
ClinicalTrials.gov study NCT06458270. IPD Sharing: YES. Countries: 1. Publications: 1.
Kids' Choice Restaurant Program
ClinicalTrials.gov study NCT02511938. IPD Sharing: UNDECIDED. Countries: 1. Publications: 1.
Comparing Calories at Fast Food Restaurants
ClinicalTrials.gov study NCT01357434. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Dopaminergic RestauratIon by IntraVEntriculaire Administration
ClinicalTrials.gov study NCT04332276. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Signature of climate-induced changes in seafood species served in restaurants
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Data from: Adherence to the Tobacco Control Act, 2007: presence of a workplace policy on tobacco use in bars and restaurants in Nairobi, Kenya
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Analysis of Restaurants in Chicago
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Examining antecedents of Muslim consumers' intentions to visit halal-certified restaurants: TPB extended with religiosity
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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.