1,720,981 research outputs found
Zoopla Daily Housing Market Observations Dataset
No full textZoopla plc is one of the UK’s major property listings services, founded in 2007. Their service includes domestic property listings for both rental and sales. UBDC has had a partnership with Zoopla since 2016. The Zoopla datasets contain information related to both rental and sale property listings in the UK from 2010 onwards. They cover various property characteristics including location, type, and size of property as well as other features along with the sale or rental price and the dates for which the listing was live. Open text fields may contain further unstructured information on property attributes and amenities
The method by which the research datasets are produced has changed over time so there are two series, both of which cover sales and rental listings:
• Generation 1: from the 1st of January 2010 to 31st December 2021
• Generation 2: from the 1st of October 2016 onwards
Plus the raw data collection with the data as supplied by Zoopla, Zoopla Daily Housing Market Observations Dataset, which has not been shared.
The fields available in each Generation are similar. Full details are provided in the tables below. The main differences between Generation 1 and Generation 2 are the inclusion in Generation 2 of geographic coordinates for listings (longitude, latitude) and the provision of Description of the dataset. Overview:
Zoopla plc is one of the UK’s major property listings services, founded in 2007. Their service includes domestic property listings for both rental and sales. UBDC has had a partnership with Zoopla since 2016. The Zoopla datasets contain information related to both rental and sale property listings in the UK from 2010 onwards. They cover various property characteristics including location, type, and size of property as well as other features along with the sale or rental price and the dates for which the listing was live. Open text fields may contain further unstructured information on property attributes and amenities
The method by which the research datasets are produced has changed over time so there are two series, both of which cover sales and rental listings:
• Generation 1: from the 1st of January 2010 to 31st December 2021
• Generation 2: from the 1st of October 2016 onwards
Plus the raw data collection with the data as supplied by Zoopla, Zoopla Daily Housing Market Observations Dataset, which has not been shared.
The fields available in each Generation are similar. Full details are provided in the tables below. The main differences between Generation 1 and Generation 2 are the inclusion in Generation 2 of geographic coordinates for listings (longitude, latitude) and the provision of additional information on changes in property features during the life of the listing. Additionally, it should be noted that both Generations were recompiled in January 2024. This resulted in ten additional variables in Generation 2. Please see Generation 2 entry for more information.
Generation 1 dataset:
UBDC monitored the current listings on a daily basis. Each has a unique listing ID and property ID (except few cases where listings were retrieved with an invalid property ID – see available packages below). Listings may not appear for a few days but then reappear. When a listing had not been present for a property ID for three months, we queried the historic listings API to retrieve the details for that case and added it to the Generation 1 dataset. This is the version of the data made available to researchers. There is therefore a three-month lag built into this approach. The dataset contains a single row for each listing ID and covers a period from the 1st of January 2010 to the 31st of December 2021. Please note that data quality is significantly higher from 2012 onwards.
Access and restrictions:
This product is the raw data collection with the data as supplied by Zoopla and cannot be shared in this format.
UBDC's licence agreement with Zoopla limits access to UK-based academics conducting non-commercial, academic research. The datasets can only be used for research in the social sciences, including housing policy. In addition, there are some further exclusions on projects which can be undertaken with the data. The key exclusions are that the data shall not be used to develop new house price or rental indices as the basis for commercial products; property attribute models with a view to commercialisation; property valuation tools or other forms of property technology.
More information:
Details of the data available via Zoopla’s Application Programming Interface (API) can be found at https://developers.zoopla.co.uk/docs/alto-apis-zoopla-api
Zoopla Property Listings Gen1
No full textOverview:
Zoopla plc is one of the UK’s major property listings services, founded in 2007. Their service includes domestic property listings for both rental and sales. UBDC has had a partnership with Zoopla since 2016. The Zoopla datasets contain information related to both rental and sale property listings in the UK from 2010 onwards. They cover various property characteristics including location, type, and size of property as well as other features along with the sale or rental price and the dates for which the listing was live. Open text fields may contain further unstructured information on property attributes and amenities
The method by which the research datasets are produced has changed over time so there are two series, both of which cover sales and rental listings:
• Generation 1: from the 1st of January 2010 to 31st December 2021
• Generation 2: from the 1st of October 2016 onwards
The fields available in each Generation are similar. Full details are provided in the tables below. The main differences between Generation 1 and Generation 2 are the inclusion in Generation 2 of geographic coordinates for listings (longitude, latitude) and the provision of additional information on changes in property features during the life of the listing. Additionally, it should be noted that both Generations were recompiled in January 2024. This resulted in ten additional variables in Generation 2. Please see Generation 2 entry for more information.
Generation 1 dataset:
UBDC monitored the current listings on a daily basis. Each has a unique listing ID and property ID (except few cases where listings were retrieved with an invalid property ID – see available packages below). Listings may not appear for a few days but then reappear. When a listing had not been present for a property ID for three months, we queried the historic listings API to retrieve the details for that case and added it to the Generation 1 dataset. This is the version of the data made available to researchers. There is therefore a three-month lag built into this approach. The dataset contains a single row for each listing ID and covers a period from the 1st of January 2010 to the 31st of December 2021. Please note that data quality is significantly higher from 2012 onwards.
Access and restrictions:
UBDC's licence agreement with Zoopla limits access to UK-based academics conducting non-commercial, academic research. The datasets can only be used for research in the social sciences, including housing policy. In addition, there are some further exclusions on projects which can be undertaken with the data. The key exclusions are that the data shall not be used to develop new house price or rental indices as the basis for commercial products; property attribute models with a view to commercialisation; property valuation tools or other forms of property technology.
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:
Details of the data available via Zoopla’s Application Programming Interface (API) can be found at https://developers.zoopla.co.uk/docs/alto-apis-zoopla-api
Zoopla Free Text Addresses to UPRN dataset
No full textOverview:
Zoopla plc is one of the UK’s major property listings services, founded in 2007. Their service includes domestic property listings for both rental and sales. UBDC has had a partnership with Zoopla since 2016. The Zoopla datasets contain information related to both rental and sale property listings in the UK from 2010 onwards. They cover various property characteristics including location, type, and size of property as well as other features along with the sale or rental price and the dates for which the listing was live. Open text fields may contain further unstructured information on property attributes and amenities
The method by which the research datasets are produced has changed over time so there are two series, both of which cover sales and rental listings:
• Generation 1: from the 1st of January 2013 to 31st December 2021
• Generation 2: from the 1st of October 2016 onwards
The fields available in each Generation are similar. Full details are provided in the tables below. The main differences between Generation 1 and Generation 2 are the inclusion in Generation 2 of geographic coordinates for listings (longitude, latitude) and the provision of additional information on changes in property features during the life of the listing.
Zoopla Freetext Addresses to UPRN dataset:
The dataset aims to enhance the Urban Big Data Centre's (UBDC) Zoopla dataset by resolving unstructured and malformed property addresses into standardized Unique Property Reference Numbers (UPRNs), making the data interoperable and hence adding value. The creation of the dataset involved leveraging a program named FLAP, which is designed to parse and match partial or misconstructed addresses to their correct UPRN. The dataset only contains entries regarding the 'sales' variant of the ubdc zoopla dataset
Access and restrictions:
Zoopla and Ordnance Survey's AddressBase Premium dataset licences are both required by researchers before access to this derived dataset is permitted. Researchers are required to provide evidence proving that they have these licences before the dataset would be supplied.
More information:
Details of the data available via Zoopla’s Application Programming Interface (API) can be found at https://developers.zoopla.co.uk/docs/alto-apis-zoopla-api
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Variations on the Author
Full text link“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
Full text linkWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Dispelling the Myths Behind First-author Citation Counts
Full text linkWe conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
koamabayili/VECTRON-author-checklist: VECTRON author checklist
No full textWe have done our best to complete the author checklist relating to the use of animals in the hut study. Note that the objective for the hut study was to evaluate the IRS treatment applications for residual efficacy against Anopheles mosquitoes, including the local An. coluzzii mosquito population. Cows were only used to attract mosquitoes into the huts and no tests were carried out directly on the cows. The author checklist is intended for use with studies where experiments are carried out on animals, which is why we have had such difficulty in completing this for the hut study, as many of the questions do not relate to how the cows were used
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