Evidence map›Paper›PMID 41143269›Full record

ArticleData in brief2025

A coastal hospitality sector database for vulnerability assessments in Veneto and Emilia-Romagna, Italy.

Vilane Gonçalves Sales

Abstract read
In one paragraph

Article in Data in brief, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

1 author.

Vilane Gonçalves SalesDepartment of Environmental Sciences, University of Venice, Venice, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This article presents a comprehensive geospatial database documenting the coastal hospitality sector across Veneto and Emilia-Romagna regions in Northern Italy. The dataset integrates information on 5030 accommodation establishments and 4992 service facilities, providing detailed spatial and attribute data essential for vulnerability assessments in the context of climate change and sea-level rise projections. Data collection employed a multi-source approach combining web scraping, API queries from Google Places, and crowdsourced repositories (Eubucco, Overture Maps), with meticulous validation protocols ensuring robust data quality. Each record includes precise geolocation, structural characteristics, proximity to coastal features, elevation metrics derived from the TINITALY digital terrain model, sea-level rise projections based on IPCC-AR5 ensemble models, sustainability certifications, and amenity information. The dataset facilitates spatial analysis of hospitality infrastructure vulnerability to coastal hazards, including sea-level rise, erosion, and storm surges. This comprehensive coverage of Northern Adriatic coastal tourism infrastructure offers significant potential for multi-disciplinary applications, including climate adaptation planning, tourism management, and disaster risk reduction for one of Europe's most economically significant coastal tourism regions.

Indexed as

Climate vulnerabilityCoastal tourismDisaster risk managementEnvironmental certificationGeospatial analysisHospitality infrastructureSea-level riseSpatial database

Identifiers

PMID41143269
PMCPMC12545821

What OpenQuestion holds

Textmetadata
LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.