The dataset represents a collection of real estate announcements published in 2018 in the Latvian leading advertisement website www.ss.com [1]. In the Latvian case, mentioned advertisement website is alternative information source in contrast with several (5-7) large real estate agencies. The mentioned advertisement website has no important competitors in Latvia, closer competitor reklama. lv [2] is 4-5 times smaller. Advertisement website www.ss.com represents information from small and medium size agencies, as well from individuals, who want to take part in the real estate market. The collected dataset reflects the observation dynamics of 12 months during 2018, including in total 238 thousand observations. Dataset has 24 dimensions, such as in announcement mentioned price for real estate, deal types, dimensions of location of real estate, such as region, district, address; characteristics of real estate, such as real estate type (land, flat and so on), size and main characteristics for each real estate type, such as land area or bad rooms in apartments. The dataset is hosted in Data Archiving and Networked Services (DANS) repository [3].
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http://dx.doi.org/10.1016/j.dib.2019.105064 | DOI Listing |
Environ Sci Pollut Res Int
January 2025
Department of Geomatics Engineering, Hacettepe University, 06800, Beytepe, Ankara, Türkiye.
This study presents a hybrid methodology for planning green spaces to enhance urban sustainability and livability, evaluating the impacts of climate change on cities. Cities, once accommodating a small population, have become major centers of migration and development since the eighteenth century. Rapid urban growth intensifies infrastructure, environmental, and social challenges.
View Article and Find Full Text PDFSci Rep
January 2025
Department of Health Administration, Yonsei University Graduate School, Wonju, Republic of Korea.
This study is the first to examine the determinants of future anxiety in South Korea using the Social Ecological Model (SEM). It aimed to show that, beyond individual factors, mezzo- and macro-level aspects, particularly those related to housing, may influence anxiety. Utilizing 2018 data from the Korean Health Panel Survey, we employed a three-level multilevel analysis to investigate how these factors contribute to the perception of future anxiety among Koreans.
View Article and Find Full Text PDFPLoS One
January 2025
School of Management, University of Scienceand Technology of China, Hefei, Anhui, China.
Although many organizations have adopted blockchain technology (BCT) for efficiency and automation and users' adoption of BCT is becoming crucial for the companies, few studies have focused on the factors affecting the adoption of BCT in real estate sector. This study aims to assess the factors affecting the adoption of BCT in real estate by the lens of an extended Technology Acceptance Model (TAM) and Task-technology fit (TTF). This current study uses quantitative survey approach.
View Article and Find Full Text PDFClin Auton Res
January 2025
Department of Neuroscience, Mayo Clinic, Jacksonville, FL, USA.
Purpose: This study examined occupational histories in multiple system atrophy to identify environmental associations of potential relevance to disease causation.
Methods: A total of 270 neuropathologically confirmed cases of multiple system atrophy obtained from the Mayo Clinic Brain Bank for neurodegenerative disorders in Jacksonville, Florida, were included in this case-control study. Demographic and disease information was collected from medical records.
J Environ Manage
February 2025
School of Public Affairs, Zhejiang University, China. Electronic address:
Green innovation is crucial in sustainable development, yet its progression is uneven across cities. This research employs a Difference in Difference (DID) model and Changes in Changes (CIC) model to investigate both the average and distributional effect of environmental regulations (ER) on green innovation (GI) quantity and quality. The conclusions indicate that ER significantly improves urban GI quantity and quality, benefiting both the urban economy and the environment.
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