Dataset Information

Housing rental prices: Data from a central urban area of Naples (Italy).

ABSTRACT: The database presented was collected to analyze the housing rental prices for a central urban area of Naples (Italy) during 2016. The data sample relates to 64 housing units located in "Santa Lucia" and "Riviera di Chiaia" neighborhoods. It provides significant information on the urban structure of these neighborhoods. The variables are indicators elaborated from official data sources: real estate rental price, commercial area, maintenance status, number of floor level of housing unit, geographical position. The geographical position is expressed assigning a prefixed sequence of characters to each housing unit, so as to classify every housing unit as falling to a defined sub-area with homogeneous values. The urban area considered is subdivided in five sub-areas. The five subzones are homogeneous in terms of services and infrastructure qualification.

SUBMITTER: Del Giudice V

PROVIDER: S-EPMC5996738 | biostudies-literature | 2018 Jun

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Housing rental prices: Data from a central urban area of Naples (Italy).

Del Giudice Vincenzo V De Paola Pierfrancesco P Forte Fabiana F

Data in brief 20180330

The database presented was collected to analyze the housing rental prices for a central urban area of Naples (Italy) during 2016. The data sample relates to 64 housing units located in "Santa Lucia" and "Riviera di Chiaia" neighborhoods. It provides significant information on the urban structure of these neighborhoods. The variables are indicators elaborated from official data sources: real estate rental price, commercial area, maintenance status, number of floor level of housing unit, geographi ...[more]

PMID: 29900264

Similar Datasets

Project description:Hydrothermal venting is rather prevalent in many marine areas around the world, and marine shallow vents are relatively abundant in the Mediterranean Sea, especially around Italy. However, investigations focusing on the characterization of meiofaunal organisms inhabiting shallow vent sediments are still scant compared to that on macrofauna. In the present study, we investigated the meiobenthic assemblages and nematode diversity inhabiting the Secca delle Fumose (SdF), a shallow water vent area located in the Gulf of Naples (Italy). In this area, characterized by a rapid change in the environmental conditions on a relative small spatial scale (i.e., 100 m), we selected four sampling sites: one diffusive emission site (H); one geyser site (G) and two inactive sites (CN, CS). Total meiofauna abundance did not vary significantly between active and inactive sites and between surface and deeper sediment layers due to a high inter-replicate variability, suggesting a pronounced spatial-scale patchiness in distribution of meiofauna. Nematofauna at site H presented the typical features of deep-sea vents with low structural and functional diversity, high biomass and dominance of few genera (i.e., Oncholaimus; Daptonema) while from site G we reported diversity values comparable to that of the inactive sites. We hypothesized that site G presented a condition of "intermediate disturbance" that could maintain a high nematode diversity. Environmental features such as sediment temperature, pH, total organic carbon and interstitial waters ions were found to be key factors influencing patterns of meiofauna and nematofauna assemblages at SdF. Even though the general theory is that nematodes inhabiting shallow vent areas include a subset of species that live in background sediments, this was not the case for SdF vent area. Due to a marked change in nematode composition between all sites and to the presence of many exclusive species, every single investigated site was characterized by a distinct nematofauna reflecting the high spatial heterogeneity of SdF.

Dataset Information

Housing rental prices: Data from a central urban area of Naples (Italy).

Publications

Housing rental prices: Data from a central urban area of Naples (Italy).

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets