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66 results for “Retail”
Malaria Diagnostic Testing and Conditional Subsidies to Target ACTs in the Retail Sector: TESTsmART Aim 2 - Kenya
ClinicalTrials.gov study NCT04428307. IPD Sharing: NO. Countries: 1. Publications: 3.
Retail Outlet Health Kiosk Hypertension Trial
ClinicalTrials.gov study NCT03515681. IPD Sharing: NO. Countries: 1. Publications: 2.
Malaria Diagnostic Testing and Conditional Subsidies to Target ACTs in the Retail Sector: the TESTsmART Trial AIM 1
ClinicalTrials.gov study NCT03810014. IPD Sharing: NO. Countries: 1. Publications: 1.
Impact of Behavioral Economic Strategies on Low-Income Older Adults' Food Choices in Online Retail Settings
ClinicalTrials.gov study NCT04766034. IPD Sharing: YES. Countries: 1. Publications: 1.
Innovative Public-private Partnership to Target Subsidized Antimalarials in the Retail Sector (Aim 2)
ClinicalTrials.gov study NCT02461628. IPD Sharing: Not stated. Countries: 1. Publications: 3.
Malaria Diagnostic Testing and Conditional Subsidies to Target ACTs in the Retail Sector: TESTsmART Aim 2 - Nigeria
ClinicalTrials.gov study NCT04428385. IPD Sharing: NO. Countries: 1. Publications: 1.
Data from: Detecting aquatic invasive species in bait and pond stores with targeted environmental (e) DNA high-throughput sequencing metabarcode assays: angler, retailer, and manager implications
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Food retail in remote Australia
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Azole resistance mechanisms and population structure of Aspergillus fumigatus on retail plant products
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Exploring the Effects of Local Energy Markets on Electricity Retailers and Customers
<p>PSCC - Data Source</p> <p>Paper title: Exploring the Effects of Local Energy Markets on Electricity Retailers and Customers</p> <p>1. Wholesale price,</p> <p>2. Linear and quadratic benefit coefficients of flexible consumers, </p> <p>3. Linear and quadratic cost coefficients of micro-generators,</p> <p>4. Power capacity, minimum & maximum energy limits, initial energy level, charging & discharging efficiency of energy storages.</p>
Open Data Set for the article Dynamic demand response to electricity prices: Evidence from the Spanish retail market. Utilities Policy, 88 (2024), 101763
<p><span>The datasets available for open access from the article ‘Furió, D. and Moreno-del-Castillo, J.<em> Dynamic demand response to electricity prices: Evidence from the Spanish retail market. Utilities Policy, 88 (2024), 101763</em>’ are provided here.</span></p> <p><span>The datasets comprise time series data on wholesale market global prices and quantity demanded by reference suppliers and competing retailers, along with day-ahead market prices for each of the 24 hours of the day spanning from January 1, 2007, to March 31, 2022. These series have been downloaded from the CNMC website. Additionally, primary temperature data were obtained from the Spanish Meteorological Agency’s website. This dataset provided hourly weather information from a nationwide network of weather stations. Given the scope of the demand series data, which reflects the entire Spanish market, the temperature series were constructed to ensure national representativeness. These data were then aggregated to develop comprehensive national temperature series, aligning them with the demand series. <span>Finally, a dummy variable for each day t of the studied period was constructed to capture the business/non-business day effect on electricity demand. It takes the value of 1 if </span></span><span>𝑡</span><span> corresponds to a working day (non-holiday, Monday to Friday) and 0 otherwise. The national holidays considered are as follows: January 1<sup>st</sup>, January 6<sup>th</sup>, May 1<sup>st</sup>, August 15<sup>th</sup>, October 12<sup>th</sup>, November 1<sup>st</sup>, December 6<sup>th</sup>, December 8<sup>th</sup>, and December 25th. Additionally, the corresponding Good Friday for each year included in the study period was also considered.</span></p>
Retail fuzzy cognitive map dataset
<p><strong>Overview</strong></p> <p>This dataset contains experts interview results for the Fuzzy Cognitive Map of the retail system, reported influences from the published articles in the domain, and aggregated weighted matrix of influences in the retail system.</p> <p>Based on this dataset Fuzzy Cognitive Map of the retail system was generated. Obtained map used for system analysis and scenario planning in the retail business.</p> <p><strong>Reproducibility of results</strong></p> <p>The results presented in the research paper "Retail System Scenario Modeling using Fuzzy Cognitive Maps", namely in Figure 1-5 and Table 3-5, can be reproduced using functions in <a href="https://github.com/alinapetukhova/FuzzyM">github repository</a>.</p> <p><strong>Licenses</strong></p> <p>The dataset is made available under a <a href="https://creativecommons.org/licenses/by/4.0/">CC-BY 4.0</a> license (see `LICENSE_DATA.txt`).</p>
Redesign of Sumber Alam 2 Retail by Using Green Design Method and Dialux Evo Simulation
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ERPM OCDM Retail Paper Results
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Brick-and-mortar retail proactive stance and attractive neighborhoods: The mediating role of residents' well-being perceptions
<p>Video resumen de un artículo presentado en el VI Congreso Latinoamericano de Marketing Social en Brasil</p>
Service Level Anchoring in Demand Forecasting: The Moderating Impact of Retail Promotions and Product Perishability
<p>This dataset is used for the working paper "Service Level Anchoring in Demand Forecasting: The Moderating Impact of Retail Promotions and Product Perishability," authored by Fahimnia, Tan, and Tahirov. The data was collected during a laboratory experiment designed based on data from a real case in the fast-moving consumer goods (FMCG) industry. Each subject was assigned to one of the following treatment groups:</p> <ul> <li>T1 - forecasts were made for a nonperishable product (shelf life of 9 months), with no service level information.</li> <li>T2 - forecasts were made for a perishable product (shelf life 1 day), with no service level information.</li> <li>T3 - forecasts were made for a nonperishable product, with a high service level information.</li> <li>T4 - the forecasts were still for a nonperishable product, with a lower service level information.</li> <li>T5 - forecasts were made for a perishable product, with high service level information.</li> <li>T6 - forecasts were made for a perishable product, with low service level information.</li> </ul> <p>A total of 368 subjects prepared four forecasts each. For each forecast, a subject was provided with 30 weeks of sales data, including both normal and promotional weeks. The promotional weeks were highlighted as "Promo." The subjects were asked to provide their forecasts for week 31, basing their forecasts solely on historical data and potential sales promotions. Mean absolute percentage error (MAPE) was used to assess the accuracy of the forecasts. Percentage forecast bias was used to measure the deviation of adjusted forecasts from the normative benchmark forecast.</p> <p>The dataset includes four Excel files, two code script files, and a README file:<br><strong>1. Excel files 1 and 2:</strong><br><strong> "database_analysis.xlsx"</strong>: Contains average adjusted forecasts for each subject during both promotional and non-promotional periods, along with demographic information, calculated MAPE, forecast bias, service level, and product perishability. This file is used as input data in the "data_cleaning.R" script.<br><strong>"database_plot.xlsx"</strong>: This Excel file contains a compact and cleaned version of the data from the first file, excluding outliers, and was used to create visuals such as boxplots.<br><strong>2. Excel Files 3 and 4:</strong><br><strong>"Pool_1_Perishable.xlsx" </strong>and "<strong>Pool_2_Non_Perishable.xlsx"</strong>: Contain real datasets for perishable and non-perishable products used in the experiment.<br><strong>3. Code Script File:</strong><br><strong>"data_cleaning.R"</strong>: This script performs data pre-processing by cleaning and transforming the dataset.<br><strong>"analysis.R"</strong>: This script loads the cleaned data and performs statistical analysis, including ANOVA and hypothesis testing. </p>
Evaluación del servicio de empresas de comercio electrónico de tipo retail en México
<p>Video resumen de un artículo presentado en el VI Congreso Latinoamericano de Marketing Social en Brasil</p>
Retail-786k Dataset
<p>This dataset is a <strong>large-scale</strong> dataset for `<strong>`visual entity matching''</strong>. Entity Matching (EM) indicates the identification of semantic groupings. As it occurs like the identification of consumer products in images in retail applications. A product is a retail item on sale that is uniquely identified by the internationally standardized Global Trade Item Number (GTIN). Entities are then defined as semantic groupings of products.</p> <p>The dataset consists of <strong>786,179 imag</strong>es labeled with 3,298 different entities. The images are split into sub-sets of 748,715 training images and 37,464 test images. The images of the dataset are cropped from scanned advertisement leaflets, collected over several years from different European retailers.</p> <p>Two versions of the dataset are provided: once with the longer edge fixed to 512 and another one fixed to 256.</p> <p>The comprehensive dataset description can be found in the corresponding paper: https://arxiv.org/abs/2309.17164</p>
Dataset QCA Retail Strategic Networks
<p>This dataset contains information about the governance and management of 20 Brazilian retail Strategic Networks. </p>
The Next Step in Smoking Prevention: the Reduction of Tobacco Retail Outlets, a Comprehensive Policy Evaluation
ClinicalTrials.gov study NCT05554120. IPD Sharing: NO. Countries: 1. Publications: 3.
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.