1529 research outputs found
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Re-meandering attenuates frequent high-flows and diversifies physical habitat in a gravel-bed river: Eddleston Water, United Kingdom
No full textThis repository contains data for an investigation that used a HEC-RAS hydraulic model, Geomorphic Change Detection software and Geomorphic Unit Tool to assess the geomorphic changes of a re-meandered section of the Eddleston Water (United Kingdom) and their impacts on flood attenuation and physical habitat diversity. The hydraulic model used topographic data acquired prior to 2013, in 2018 and 2020. This dataset includes: (A) HEC-RAS model inputs; (B) HEC-RAS model outputs; (C) Geomorphic Change Detection project; and (D) Geomorphic Units outputs. *All geospatial data are in the GCS_OSGB_1936 coordinate system
The slicer activity of Aedes aegypti Argonaute 2 is critical for the antiviral activity of the antiviral exogenous siRNA pathway
Full text linkRaw data underlying figures in research article
Experian Goad Plan Data 2021
No full textOverview:
Experian Goad is a retail property intelligence system that helps retail developers, property investors, planning professionals, and commercial agents to identify profitable locations for retail property development and investment projects.
It offers comprehensive retail location plans and easy to use reports covering over 3,000 shopping areas in the UK and Ireland. Experian surveyors collect the data by visiting each centre. Frequency refers to months between survey cycles: 12 – annual survey, 24 – every 2 years, 6 – twice a year.
Experian Goad Plan Data:
This dataset with retail areas within urban areas across the whole UK and Ireland. The dataset's comprehensiveness and time period coverage has the potential to support high quality research through both coverage and geographic linkability and the data is “naturally occurring” in that it is collated by a company for use in planning and marketing commercial ventures in cities.
Access and restrictions:
UBDC's licence agreement with Goad Plan Experian limits access to UK-based academics conducting non-commercial, academic research.
To use the data, researchers need to apply to UBDC setting out a summary of the work they plan to undertake so that the usage can be assessed against these criteria. Please apply to UBDC. If the intended use falls within the terms of the licence, researchers will be asked to sign an End User Licence agreement. Datasets will be shared with eligible applicants on receipt of completed license agreements.
Experian's services are not intended to be used as the sole basis for any business decision, and are based upon data which is provided by third parties, the accuracy and/or completeness of which it would not be possible and/or economically viable for Experian to guarantee. Experian's services also involve models and techniques based on statistical analysis, probability and predictive behaviour. Experian is therefore not able to accept any liability for any inaccuracy, incompleteness or other error in the Experian data which arises as a result of data provided or any failure to achieve a particular result.
More information:
Further information is available on the Goad Plan Experian website at https://www.experian.co.uk/business-products/goad
Operational research approaches and mathematical models for kidney exchange: A literature survey and empirical evaluation
No full textThe dataset contains the synthetic instances generated and used to test and compare various techniques to solve the kidney exchange programme optimisation problem
Glasgow Origin-Destination (OD) Matrices 2019-2022
No full textOverview:
Averaged Origin-Destination (OD) Matrices for Glasgow City Region provides information about the percentage of average number of trips between different origins and destinations in the city across 4 years (2019 – 2022). Before generating the final OD matrices, the detected and weighted trips were averaged across 4 years to mitigate any event or season-based biases. Location data from mobile phone apps aggregated by Huq Industries was used to derive OD Matrices and these are an UBDC derivative product of Huq dataset.
Calculating OD Matrices from the mobile phone app data involved the following steps:
• Filtering out inaccurate and imprecise GPS points.
• Estimating stay locations using time and distance thresholds. A stay location is detected if a user spent at least 5 minutes in a 500m radius area.
• Extraction of trips between stay locations.
• Associating each detected stay location with an MSOA/Intermediate Zone (IZ) in the city.
• Applying weights based on the user’s home location MSOA/Intermediate Zone and their activity status in the dataset.
• Aggregating the number of trips between each origin-destination pair.
To validate the methodology, two types of validations were carried out:
1. Internal Validation: this focuses on examining the dataset’s internal consistency and logical patterns. It involves a series of checks, comparisons, descriptive statistics, and visualizations within the dataset itself. The aim is to ensure that the data is coherent, free of anomalies, and the results align closely to expected outcomes. Key aspects of internal validation include:
a. Consistency Checks: Verifying that the data values are within logical and expected ranges. For example, ensuring all percentages values are between 0 and 100.
b. Descriptive Statistics: Generating summary statistics such as mean, median, standard deviation, and percentiles to understand the distribution and central tendencies of the data.
c. Visualisations: Using plots and maps to visually inspect patterns and detect any inconsistencies or unusual outcomes.
These checks help ensure that the OD matrices are internally consistent and reflect realistic travel behaviour within each city.
2. External validation: it involves comparing the OD matrix outputs with reliable external datasets to evaluate their accuracy and reliability. This step is essential for verifying the results derived from mobile phone app data aligning with established data sources and known patterns of urban mobility. The external validation process includes:
a. Benchmarking against external datasets: Comparing the observed results with credible external data sources such as Scottish Household Survey to validate travel patterns and behaviours observed in Glasgow and Edinburgh.
Through external validation, the OD matrices’ credibility is enhanced by demonstrating that the observed patterns are consistent with real-world data and established urban mobility trends.
Huq dataset:
Huq is a mobile phone app dataset. The app collects real-time, anonymised location data from users' smartphones, based on the use of a range of smart phone applications. This dataset offers researchers insights into human mobility patterns and behaviour. Researchers can leverage this data to study consumer trends, urban planning, and the impact of events on people's movements, amongst other applications. Huq data offers the potential to understand changing societal dynamics and make data-driven decisions across various fields, from retail and transportation to public health and urban development. The data has geographic coverage across the UK. It has a time coverage of 5 years from 2019 to 2023.
Access and restrictions:
Averaged Origin-Destination (OD) Matrices are available for non-commercial academic research use only. The data is available to request as Safeguarded data under UBDC's End User Licence.
More information:
• Guide to Origin-Destination Matrix Dataset. This dataset offers an Origin-Destination (OD) matrix that shows the percentage of number of trips going from each origin to each destination from app-based location data for the Glasgow region, UK. OD matrix is an n×m matrix where n is the number of “origins”, m is the number of “destination” locations, and Tij is the number of objects travelling from i to j.
• Other related outputs: https://www.ubdc.ac.uk/news/data-for-insights-into-mobilit
Huq packaged data by city and year 2019-2024
No full textHuq is a mobile phone app dataset. The app collects real-time, anonymised location data from users' smartphones, based on the use of a range of smart phone applications. This dataset offers researchers insights into human mobility patterns and behaviour.
Huq's event-level geo-data offers a rich and descriptive record of how consumers move and interact with the places around them. Huq's footfall data can be combined with other data sources to build predictions relating to how public entities are likely to report, specifically, where it concerns footfall correlated with revenue. The data can be used to observe how consumers interact with traded or private physical assets in order to observe changes in consumer trends and consider how those may affect their investment positions.
Researchers can leverage this data to study consumer trends, urban planning, and the impact of events on people's movements, amongst other applications. With a coverage of around 0.7% of the population and granular location information, Huq data offers the potential to understand changing societal dynamics and make data-driven decisions across various fields, from retail and transportation to public health and urban development.
The data has a geographic coverage across Glasgow City Region.
OD Matrices data
UBDC researchers also created a derived dataset, based on Huq data, Glasgow Origin-Destination (OD) Matrices. You can find more information in the dedicated Glasgow Origin-Destination (OD) Matrices page.
Access and Restrictions
Huq data is currently available internally for Urban Big Data Centre Staff only. Derived Datasets based on Huq data, such as Mobility Metrics for Glasgow City Region, are available to request as safeguarded data under an End User Licence Agreement. For more information please refer to the OD matrices page
Input datasets for UKRN Open Research Indicators Pilot 4 - Data Availability Statements
No full textTwo examples of input data from Universities of Glasgow and Leicester for UKRN led Open Research Indicators pilot 4. The overall aim of the pilot was to explore the co-creation of practical methods to monitor the prevalence of DAS in research articles and assess the quality of DAS and their usefulness
Governance Under Pressure: Corporate Decision-Making and the Creative Process in the Cyberpunk 2077 Release
Full text linkHistorical stock price data and consumer review
Synthetic peptide hydrogels as a model of the bone marrow niche demonstrate efficacy of a combined CRISPR-CAR T-cell therapy for acute myeloid leukaemia
Full text linkRaw data on the development of a synthetic in vitro bone marrow niche, the development of a combined CRISPR-CAR T-cell therapy, and the model niche being used to test CRISPR-CAR T-cell therapy for acute myeloid leukaemia.
Please note that the data files associated with this record are only available for reuse to projects which have been granted ethical approval. Please use the 'Request Data' button to start the access process
Design and development of a prototype single crystalline silicon cryogenic suspension for 3rd generation gravitational wave detectors
Full text linkData presented in publication, describing the strength of treated and untreated silicon ribbons, as well as temperature distributions within cryostat