BUSCADOR RECOLECTA

This dataset contains a web application (written in Flask, Python) that allows green roofs (an other locations) to collect harvesting data that is automatically added to an SQLite database. In its presented form, six green roofs of Barcelona are included, but this can be customised as wished. An empty database file is provided along with the SQLite schema to generate the tables. The Python code is also included in order to allow the application to be offered through a server. The application allows harvesting events to be registered, where data needs to be recorded in kg. The menu is offered in Catalan, but can be customised for other languages. The list of available products is dynamic and can be expanded and edited. The list of uses is also expandable and editable. Moreover, each harvest can be edited after its creation.

This repository contains a web application (written in Flask, Python) that allows green roofs (and other locations) to register held activities. All entires are automatically added to an SQLite database. In its presented form, six green roofs of Barcelona are included, but this can be customised as wished. An empty database file is provided along with the SQLite schema to generate the tables. The Python code is also included in order to allow the application to be offered through a server. The application registers internal and external activities, alongside different fields of data that allow the characterisation of indicators related to the social performance of the roof. The menu is offered in Catalan, but can be customised for other languages. The list of external activity types can be expanded and edited. Moreover, each activity entry can be edited after its creation.

This dataset contains a web application (written in Flask, Python) to register periodic and one-time data that is later used to assess technical indicators for the performance of green roofs. All entires are automatically added to an SQLite database. In its presented form, six green roofs of Barcelona are included, but this can be customised as wished. An empty database file is provided along with the SQLite schema to generate the tables. The Python code is also included in order to allow the application to be offered through a server. The application registers one-time, yearly and monthly data needed for the assessment of green roofs. The menu is offered in English.

This dataset contains a web application (written in Flask, Python) to register answers to questionnaires targeted to different stakeholders involved in green roofs. All entires are automatically added to an SQLite database. In its presented form, six green roofs of Barcelona are considered, but this can be customised as wished. The full question bank and an easy-reading version of it are included. An empty database file is provided along with the SQLite schema to generate the tables. The Python code is also included in order to allow the application to be offered through a server. All questions are offered in Catalan and Spanish.

This dataset contains a set of 63 interdisciplinary indicators for the assessment of green roofs. It combines physical, biological and social aspects to quantify the performance of these nature-based solutions. For each indicator, we provide the method to measure it and the formula to calculate it. An ID is also provided that is consistent with the four database applications provided in other standalone repositories.