Severity: Warning
Message: file_get_contents(https://...@pubfacts.com&api_key=b8daa3ad693db53b1410957c26c9a51b4908&a=1): Failed to open stream: HTTP request failed! HTTP/1.1 429 Too Many Requests
Filename: helpers/my_audit_helper.php
Line Number: 176
Backtrace:
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 176
Function: file_get_contents
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 250
Function: simplexml_load_file_from_url
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 3122
Function: getPubMedXML
File: /var/www/html/application/controllers/Detail.php
Line: 575
Function: pubMedSearch_Global
File: /var/www/html/application/controllers/Detail.php
Line: 489
Function: pubMedGetRelatedKeyword
File: /var/www/html/index.php
Line: 316
Function: require_once
This article provides a panel dataset on four capital dimensions (economic, human, social and physical) to study and promote the attractiveness and resilience of Italian territories. The dataset is articulated at the provincial and municipal level for the period 2010-2022. Data have been sourced from different open data repositories or collected through scraping downloads and have been elaborated in order to generate novel territorial indicators. While traditional datasets are commonly available at the regional and provincial levels, territorial analyses necessitate more granular data. Hence, this dataset allows researchers to study territorial characteristics of Italy at the NUTS3 and municipal levels, granting different degrees of spatial granularity and potentially supporting policymakers in evaluating the effectiveness of territorial policies implemented over the years.
Download full-text PDF |
Source |
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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11567131 | PMC |
http://dx.doi.org/10.1016/j.dib.2024.111042 | DOI Listing |
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