1529 research outputs found
Sort by
The anti-splicing drug SRPIN340 inhibits the human papillomavirus life cycle and reverses virus-mediated changes in the infected epithelium
Full text linkExcel spreadsheets containing underlying data for graphs in the above paper
Sub-organellar mitochondrial hydrogen peroxide observed using a SNAP tag targeted coumarin-based fluorescent reporter
No full textTransformed and raw NMR data for compounds whose synthesis is reported in this paper
Glasgow Valuation Roll Data
No full textOverview:
The Glasgow Valuation Roll Data Extracts came from Glasgow City Council's Scottish Assessors' Association. The Assessor maintains a list of all non domestic properties within the Glasgow City Valuation Area. The Scottish Assessors' (SA) Portal provides online access to the Valuation Rolls (Rateable Values) and Valuation Lists (Council Tax Bands) for all eligible properties in Scotland. Information on Electoral Registration is also available. This list is known as the Valuation Roll and it shows Proprietors, Tenants & Occupiers as well as the Rateable Value.
The Rateable Value is the Assessor’s opinion of the Annual Rental Value (subject to legislative conditions) at a legally prescribed date, this date is 01 April 2022 for the current 2023 Revaluation. The Assessor has a statutory duty to revalue non-domestic properties every 3 years. Further information on how the Assessor arrives at a value can be found within the SAA Home Page.
Glasgow Valuation Roll Dataset:
Glasgow Valuation Roll Data Extracts from 1990 which contains an entry for all non domestic properties in the Glasgow City Assessor areas, except those specifically excluded by law. Each entry in the Roll includes the Net Annual Value which has been set by the Assessor and the Rateable Value.
Access and restrictions:
The Glasgow Valuation Roll data are available for non-commercial academic research use only. The data is available to request as Safeguarded data under UBDC's End User Licence.
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.
More information:
Scottish Assessors' Association Glasgow Valuation Roll at https://www.saa.gov.uk/glasgow/valuation-roll
Strava Sheffield
No full textOverview:
UBDC researchers have worked extensively with data from Strava, a fitness app that allows users to track a variety of sporting activities. The app is perhaps most popular among cyclists. Data on cycling has traditionally been difficult to gather or has lacked detail but apps like Strava let users log and share their journeys. This enables planners to understand which routes people use, and which origins/destination pairs are busiest. This can help us track how popular cycling is over time, evaluate impacts of infrastructure, and plan new interventions to encourage active travel.
UBDC has the following Strava datasets:
o Strava Scotland data available for 2015 – March 2020
o Strava Glasgow 2013 – March 2020
o Strava Manchester 2015 – 2018
o Strava Tyne and Wear 2015 – 2018
o Strava Sheffield 2017
Strava data:
Strava is a social network, recording data from its users who upload their cycle rides or running activity via smartphone or GPS device. This dataset comprises anonymised data from Strava users in Manchester. The aggregate information provides GIS compatible data that offer an hourly count of users at street level and wait times at intersections based on the Open Street Map roads network. The origin and destination of trips is also available, resolved to census output areas.
Data from Strava, widely used social networking platform tailored for enthusiasts who enjoy activities such as cycling and running, for Scotland and the Northeast of England (Glasgow, Scotland, Manchester, Tyne & Wear, Sheffield). The time period of the data coverage varies for different cities. To ensure user privacy, all the data has been anonymized and also binned.
The GIS compatible data offers:
1.Hourly User Count at Street Level: This gives insights into how many users are active on a specific street on an hourly basis. (Binning: 0 if this number is less than or equal to 3, otherwise rounded up in multiples of 5)
2.Wait Times at Intersections: This information can provide how long Strava users typically wait at various intersections. Such data can be useful for urban planning and traffic management, highlighting potential areas for infrastructure improvement.
3.Origin and Destination of Trips: The data reveals where users start (origin) and finish (destination) their activities.
However, to maintain user privacy, these origins and destinations are grouped by census output areas. This offers a balance between useful data granularity and user confidentiality. This dataset, based on the Open Street Map roads network, offers a rich source of information for a variety of professionals – from urban planners to transport researchers
Access and restrictions:
UBDC data is available for non-commercial, academic research by UK-based academics under an End User Licence. Data can be used for research in the social sciences, including transportation research. Usage of the data for teaching is also permitted.
Access to the Data Strava provides access to the Metroview platform for urban infrastructure planning organizations around the world to understand mobility patterns, identify opportunities for investment and evaluate the impact of infrastructure changes. Access to Metroview is free of charge and is available at Strava’s discretion based on the application requirements. Previous extracts of Strava Metro data for the above geographies and timeframes are available through the UBDC data catalogue. To apply for Strava Metro data in other geographies or for additional timeframes, please see the Strava website https://metro.strava.com/
More information:
Further information can be found at https://metro.strava.com
Strava Glasgow
No full textOverview:
UBDC researchers have worked extensively with data from Strava, a fitness app that allows users to track a variety of sporting activities, perhaps most popular among cyclists. Data on cycling has traditionally been difficult to gather or has lacked detail but apps like Strava let users log and share their journeys. This enables planners to understand which routes people use, and which origins/destination pairs are busiest. This can help track how popular cycling is over time, evaluate impacts of infrastructure, and plan new interventions to encourage active travel.
UBDC has the following Strava datasets:
• Strava Scotland data available for 2015 – March 2020
• Strava Glasgow 2013 – March 2020
• Strava Manchester 2015 – 2018
• Strava Tyne and Wear 2015 – 2018
• Strava Sheffield 2017
Strava:
Strava is a social network, recording data from its users who upload their cycle rides or running activity via smartphone or GPS device. This dataset comprises anonymised data from Strava users. The aggregate information provides GIS compatible data that offer an hourly count of users at street level and wait times at intersections based on the Open Street Map roads network. The origin and destination of trips is also available, resolved to census output areas.
Data from Strava, widely used social networking platform tailored for enthusiasts who enjoy activities such as cycling and running, for Scotland and the Northeast of England (Glasgow, Scotland, Manchester, Tyne & Wear, Sheffield). The time period of the data coverage varies for different cities. To ensure user privacy, all the data has been anonymized and also binned.
The GIS compatible data offers:
1. Hourly user count at street level: this gives insights into how many users are active on a specific street on an hourly basis. (Binning: 0 if this number is less than or equal to 3, otherwise rounded up in multiples of 5).
2. Wait times at intersections: this information can provide how long Strava users typically wait at various intersections. Such data can be useful for urban planning and traffic management, highlighting potential areas for infrastructure improvement.
3. Origin and destination of trips: the data reveals where users start (origin) and finish (destination) their activities.
To maintain users privacy, these origins and destinations are grouped by census output areas. This offers a balance between useful data granularity and user confidentiality. This dataset, based on the Open Street Map roads network, offers a rich source of information for a variety of professionals – from urban planners to transport researchers.
Access and restrictions:
UBDC data is available for non-commercial, academic research by UK-based academics under an End User Licence. Data can be used for research in the social sciences, including transportation research. Usage of the data for teaching is also permitted.
Access to the Data Strava provides access to the Metroview platform for urban infrastructure planning organisations around the world to understand mobility patterns, identify opportunities for investment and evaluate the impact of infrastructure changes. Access to Metroview is free of charge and is available at Strava’s discretion based on the application requirements. Previous extracts of Strava Metro data for the above geographies and timeframes are available through the UBDC data catalogue. To apply for Strava Metro data in other geographies or for additional timeframes, please see the Strava website https://metro.strava.com/
Strava Manchester
No full textOverview:
UBDC researchers have worked extensively with data from Strava, a fitness app that allows users to track a variety of sporting activities. The app is perhaps most popular among cyclists. Data on cycling has traditionally been difficult to gather or has lacked detail but apps like Strava let users log and share their journeys. This enables planners to understand which routes people use, and which origins/destination pairs are busiest. This can help us track how popular cycling is over time, evaluate impacts of infrastructure, and plan new interventions to encourage active travel.
UBDC has the following Strava datasets:
o Strava Scotland data available for 2015 – March 2020
o Strava Glasgow 2013 – March 2020
o Strava Manchester 2015 – 2018
o Strava Tyne and Wear 2015 – 2018
o Strava Sheffield 2017
Strava data:
Strava is a social network, recording data from its users who upload their cycle rides or running activity via smartphone or GPS device. This dataset comprises anonymised data from Strava users in Manchester. The aggregate information provides GIS compatible data that offer an hourly count of users at street level and wait times at intersections based on the Open Street Map roads network. The origin and destination of trips is also available, resolved to census output areas.
Data from Strava, widely used social networking platform tailored for enthusiasts who enjoy activities such as cycling and running, for Scotland and the Northeast of England (Glasgow, Scotland, Manchester, Tyne & Wear, Sheffield). The time period of the data coverage varies for different cities. To ensure user privacy, all the data has been anonymized and also binned.
The GIS compatible data offers:
1.Hourly User Count at Street Level: This gives insights into how many users are active on a specific street on an hourly basis. (Binning: 0 if this number is less than or equal to 3, otherwise rounded up in multiples of 5)
2.Wait Times at Intersections: This information can provide how long Strava users typically wait at various intersections. Such data can be useful for urban planning and traffic management, highlighting potential areas for infrastructure improvement.
3.Origin and Destination of Trips: The data reveals where users start (origin) and finish (destination) their activities.
However, to maintain user privacy, these origins and destinations are grouped by census output areas. This offers a balance between useful data granularity and user confidentiality. This dataset, based on the Open Street Map roads network, offers a rich source of information for a variety of professionals – from urban planners to transport researchers
Access and restrictions:
UBDC data is available for non-commercial, academic research by UK-based academics under an End User Licence. Data can be used for research in the social sciences, including transportation research. Usage of the data for teaching is also permitted.
Access to the Data Strava provides access to the Metroview platform for urban infrastructure planning organizations around the world to understand mobility patterns, identify opportunities for investment and evaluate the impact of infrastructure changes. Access to Metroview is free of charge and is available at Strava’s discretion based on the application requirements. Previous extracts of Strava Metro data for the above geographies and timeframes are available through the UBDC data catalogue. To apply for Strava Metro data in other geographies or for additional timeframes, please see the Strava website https://metro.strava.com/
More information:
Further information can be found at https://metro.strava.com
Towards decentralized nitrogen fixation using pulsed ultrasound
Full text linkThe fixation of atmospheric nitrogen is one of the key processes required for life on Earth, and the development of anthropogenic nitrogen fixation methods in the early twentieth century revolutionized agricultural productivity. Non-natural nitrogen fixation is currently dominated by the Haber-Bosch process, which generates ammonia from nitrogen and (usually fossil fuel-derived) hydrogen. However, other potential nitrogen fixation products are equally useful, particularly nitrate, to which a significant proportion of ammonia produced by the Haber-Bosch process is converted via the Ostwald process. Both the Haber Bosch and Ostwald processes require high temperatures, elevated pressures and large, centralized facilities and are major emitters of CO2. Present nitrogen fixation routes therefore leave very little scope for the production of fertilizers in small, decentralized facilities close to the point-of-use, or for the development of truly resilient and sustainable supplies of these vital chemical building blocks. Such decentralized production would require the fixation of nitrogen without the need for high temperature or high pressure reactors, using only air and water and without any additional reagents. Herein, we report on a much under-explored route to nitrogen fixation that is compatible with all the above criteria: fixation using ultrasound. Through the optimization of various acoustic parameters, we demonstrate that just 60 seconds of sonication of an air/water mixture at room temperature, using pulsed ultrasound at 200 kHz with an optimal input protocol (pulse duration = 4 ms, interval between pulses = 80 ms), is sufficient to produce nitrate solutions at concentrations of approximately 15 μM. These results constitute a record rate of production of nitrogen oxides by sonication in aqueous solution and are a step-change in terms of energy requirements per mole of products relative to previous reports. In turn, our results suggest that this simple approach has potential for low capital cost and truly decentralized nitrogen fixation in areas where infrastructure is lacking
Purpose in Business: exploring the relationship between purpose and productivity
Full text linkThis dataset comprises of in-depth, semi-structured interviews, undertaken with employees at various levels, from five Scottish organisations. This includes four businesses and one social enterprise. The case studies were selected, due to their self-identification as being purpose informed organisations. The interviews were undertaken with participants employed in various roles and positions, ranging from warehouse workers to CEO’ s and business owners. The interviews were all undertaken online via the video application Microsoft Teams. The dataset informed the qualitative research project, ‘Purpose in Business: exploring the relationship between purpose and productivity’ which was funded by the ESRC and the Productivity Institute, with the support of Prosper
Seasonal and annual tropical river pattern change detection using machine learning
No full textAutomated river landform classification and geology setting data of the Bislak, Laoag, and Abra Rivers at about two-month step of 5.5 years
Please note that the data files associated with this record are under embargo until January 2026