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60 results for “restaurants”
House complex. Now hotel restaurant "El Buffi". 1929. Modernism.
<u>File Name</u>: PM_072999_E_Solsona <br><u>Sublocation</u>: Plaça de Sant Roc <br><u>Location</u>: Solsona <br><u>Province</u>: Catalunya, Lleida <br><u>Country</u>: Spain <br><u>Header</u>: Restaurant el buffi <br><u>Description</u>: House complex. Now hotel restaurant "El Buffi". 1929. Modernism. <br><u>Author</u>: photo: Paul M.R. Maeyaert <br><u>Author Mail</u>: PMRMaeyaert@gmail.com <br><u>Copyright</u>: © Paul M.R. Maeyaert; pmrmaeyaert@gmail.com <br><u>Keywords</u>: Cultural heritage|Monuments; Cultural heritage|Monuments|Private house; Cultural heritage|Styles; Cultural heritage|Styles|Eclecticism; Cultural heritage|Styles|Modernism; Europe|Spain; Europe|Spain|Catalunya; Europe|Spain|Catalunya|Lleida; Europe|Spain|Catalunya|Lleida|Solsona; Cultural heritage <br><u>Date of Generation</u>: 2012-06-12T11:35:06.064
TripAdvisor Restaurant Reviews
<h2><strong>Description</strong></h2> <p>This dataset contains restaurant reviews from TripAdvisor for five European cities, capturing detailed information on users, restaurants (items), and reviews. It offers a comprehensive view of user experiences, opinions, and restaurant attributes.</p> <h3><strong>Data Structure</strong></h3> <h4><strong>User Information</strong></h4> <ul> <li><code>userId</code>: Unique identifier for each user (hashed).</li> <li><code>name</code>: Display name or username.</li> <li><code>location</code>: User's location (city and country).</li> </ul> <h4><strong>Restaurant Information (Items)</strong></h4> <ul> <li><code>itemId</code>: Unique identifier for each restaurant.</li> <li><code>name</code>: Restaurant name.</li> <li><code>city</code>: City where the restaurant is located.</li> <li><code>priceInterval</code>: Price range.</li> <li><code>url</code>: Link to the restaurant’s TripAdvisor review page.</li> <li><code>rating</code>: Average rating score for the restaurant.</li> <li><code>type</code>: List of cuisine types (e.g., <code>[Spanish, Mediterranean]</code>).</li> </ul> <h4><strong>Review Information</strong></h4> <ul> <li><code>reviewId</code>: Unique identifier for each review.</li> <li><code>userId</code>: Corresponding user who wrote the review.</li> <li><code>itemId</code>: Restaurant associated with the review.</li> <li><code>title</code>: Title of the review summarizing the user’s impression.</li> <li><code>text</code>: Full text of the review describing the user’s experience.</li> <li><code>date</code>: Date when the review was posted.</li> <li><code>rating</code>: Numerical score (typically from 0 to 50, where 50 represents the highest satisfaction).</li> <li><code>language</code>: Language of the review.</li> <li><code>images</code>: List of URLs pointing to images uploaded by the user (if available).</li> <li><code>url</code>: Link to the full review on TripAdvisor.</li> </ul> <h2><strong>Code example</strong></h2> <pre><code>import pandas as pd city = "Barcelona" # Load restaurants items = pd.read_pickle(f"{city}/items.pkl") # Load users users = pd.read_pickle(f"{city}/users.pkl") # Load reviews reviews = pd.read_pickle(f"{city}/reviews.pkl")</code></pre>
CSV Trip Advisor restaurant NYC test
<p>The CSV distribution of the Trip Advisor Newyork City restaurants Dataset used in the NeIC spring 2023 FAIR training.</p>
Dataset: Good Times Restaurants Inc. (GTIM) Stock Performance
This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.
Dataset: GEN Restaurant Group, Inc. (GENK) Stock Performance
This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.
Dataset: First Watch Restaurant Group, Inc. (FWRG) Stock Performance
This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.
Dataset: BJ's Restaurants, Inc. (BJRI) Stock Performance
This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.
Dataset: Ark Restaurants Corp. (ARKR) Stock Performance
This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.
Dataset: Ark Restaurants Corp. (ARKR) Stock Performance
This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.
Dataset: Rave Restaurant Group, Inc. (RAVE) Stock Performance
This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.
Social websites reviews and ratings of Dublin restaurants situated across 65 locations
<p>The dataset contains user reviews and ratings of restaurants situated across 65 locations in Dublin along with other features such as cuisine, price range etc. which are as follows.</p> <p> </p> <p><strong>Restaurant ID</strong>: Each ID represents a restaurant which has been given a unique ID to easily identify them. There are 211 restaurants in total.</p> <p> </p> <p><strong>Location ID</strong>: The locality in which each restaurant is situated have been given ID’s. 65 such unique locations are present in the data. </p> <p> </p> <p><strong>Review</strong>: This field represents the user reviews for each restaurant. Reviews have been cleaned to remove punctuations, emojis and special characters.</p> <p><br> <strong>Cuisine</strong>: Represents the cuisine type for each restaurant.</p> <p><strong>Price</strong> <strong>Range</strong>: The average price for dining in the restaurant. It has 3 categories: </p> <p>€30 and under | €31 to €50 | €51 and over</p> <p> </p> <p><strong>Food</strong> <strong>Rating</strong>: User given rating between 1 and 5 for the quality of food in the restaurant.</p> <p> </p> <p><strong>Service Rating</strong>: User given rating between 1 and 5 for the quality of service in the restaurant.</p> <p> </p> <p><strong>Ambience Rating</strong>: User given rating between 1 and 5 for the ambience in the restaurant.</p> <p> </p> <p><strong>Overall Rating</strong>: User given rating between 1 and 5 for the restaurant in total.</p> <p> </p> <p><strong>Restaurant Rating</strong>: The average rating of each restaurant based on general opinion.</p> <p> </p> <p><strong>Review Sentiment</strong>: Overall sentiment of the user review i.e. either Positive or Negative.</p> <p> </p> <p><strong>Total Number of Rows</strong>: 10000</p> <p> </p> <p><strong>Number of Rows for Positive Sentiment</strong>: 5000</p> <p> </p> <p><strong>Number of Rows for Negative Sentiment</strong>: 5000</p> <p> </p> <p><strong>Number of Unique Restaurants</strong>: 211</p> <p> </p> <p><strong>Number of Unique Locations</strong>: 65</p> <p> </p> <p><strong>Number of Unique Cuisines</strong>: 43</p>
A User Story Dataset for Library and Restaurant Management Systems
<p>A user story dataset generated by participants during user experiments with <a href="https://doi.org/10.5281/zenodo.7529090">SCOUT</a>. </p>
RDF Turtle Trip Advisor restaurant NYC test
<p>The RDF Turtle distribution of the Trip Advisor Newyork City restaurants Dataset used in the NeIC spring 2023 FAIR training.</p>
Roman mosaic in the restaurant "i Trioni", Italy
A Roman mosaic is a mosaic made during the Roman period, throughout the Roman Republic and later Empire. Mosaics were used in a variety of private and public buildings, on both floors and walls, though they competed with cheaper frescos for the latter. They were highly influenced by earlier and contemporary Hellenistic Greek mosaics, and often included famous figures from history and mythology, such as Alexander the Great in the Alexander Mosaic. This mosaic is locate in the restaurant "i Trioni", in Terracina (Italy) Source: Objaverse 1.0 / Sketchfab
Figure 1. - Nesting habitat of Xylocopanasalis; A nesting habitat of Xylocopanasalis on a makeshift roof of a restaurant in Suan Pheung district, Ratch Buri province, Thailand. The red arrows indicate locations where the bamboo culms were arranged ca. 2.50 m above the ground (1a and 1b). At the nest entrance, the female of Xylocopanasalis was dehydrating the nectar previously foraged (1c).
Figure 1. - Nesting habitat of Xylocopanasalis; A nesting habitat of Xylocopanasalis on a makeshift roof of a restaurant in Suan Pheung district, Ratch Buri province, Thailand. The red arrows indicate locations where the bamboo culms were arranged ca. 2.50 m above the ground (1a and 1b). At the nest entrance, the female of Xylocopanasalis was dehydrating the nectar previously foraged (1c).
Replication package for "Chain Restaurant Calorie Posting Laws, Obesity, and Consumer Welfare"
<p>This package contains the data, programs, and instructions to replicate the manuscript "Chain Restaurant Calorie Posting Laws, Obesity, and Consumer Welfare" by Charles Courtemanche, David Frisvold, David Jimenez-Gomez, Marietou Ouayogode, and Michael Price, which is forthcoming at JEEA.</p>
BDFoodSent: A Large-Scale Sentiment-Labeled Restaurant Review Dataset from Bangladesh
<p>BDFoodReview is a large-scale dataset containing 334,119 restaurant reviews collected from "Foodpanda Bangladesh". The dataset includes customer reviews in mixed languages (Bangla, English, and Banglish), translated into English, along with their corresponding ratings and sentiment labels.</p> <p> </p> <h3>Dataset Statistics</h3> <p>Total Reviews: 334,119</p> <p>Features/Columns: 19</p> <p> </p> <h3>Potential Applications</h3> <p>Sentiment Analysis</p> <p>Restaurant Review Classification</p> <p>Customer Satisfaction Analysis</p> <p>Opinion Mining</p> <p>Natural Language Processing Research</p> <p>Food Service Industry Analysis</p>
TripAdvisor Restaurant Details and Reviews
<p>Dataset of restaurant details and reviews from TripAdvisor that includes all details that a restaurant has and a review (binary) from a user to that restaurant.</p>
Restaurant OWL file
Open the record for dataset details and reuse information.
How does the proximity to restaurants and sports facilities influence the Body Mass Index in Geneva?
<p>Sport facilities and restaurants of the canton of Geneva, located by means of adresses, are published. They were obtained from the Geographic Information System of Geneva (Système d'Information du Territoire à Genève, SITG). The BMI dataset is strictly confidential and could not be published.</p>
ScienceDex guides
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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.