Este archivo ha sido creado el 15-01-2024 por Antonio Franco Salas

GENERAL INFORMATION
------------------

1. Dataset title: Improving_performance_felt-based_livingwall_irrigation [dataset]

2. Authorship:
		
	Name: Kaltsidia, Maria P.
	Institution: ETSIA, Universidad de Sevilla, Sevilla, Spain.
	Email: markal1@alum.us.es
	ORCID: 

	Name: Fernández Cañero, Rafael
	Institution: ETSIA, Universidad de Sevilla, Sevilla, Spain.
	Email: rafafc@us.es
	ORCID: https://orcid.org/0000-0002-3407-9445
	
	Name: Antonio Franco Salas
	Institution: ETSIA, Universidad de Sevilla, Sevilla, Spain.
	Email: afranco@us.es
	ORCID: https://orcid.org/0000-0001-6842-8685

	Name: Pérez Urrestarazu, Luis
	Institution: ETSIA, Universidad de Sevilla, Sevilla, Spain.
	Email: lperez@us.es
	ORCID: https://orcid.org/0000-0002-3378-9285

DESCRIPTION
----------

1. Dataset language: 
English

2. Abstract:
Dataset acquired for the study published in the article: “Improving the performance of felt-based 
living wall systems in terms of irrigation management”. This work aims to improve an existing commercial
system (Fytotextile) in order to optimise water retention and vegetation performance in harsh climate 
conditions. Therefore, three evolutions of the Fytotextile system were tested in terms of water retention
capacity, drainage and vegetation performance. 

3. Keywords: 
Fytotextile; Green Walls; Vertical greening systems; Water management; Water retention capacity

4. Date of data collection:
12/03/2017

5. Publication Date:
15/01/2024

6. Grant information:
	Grant Agency: Not funded
	Grant Number:

7. Geographical location/s of data collection:
ETSIA. Universidad de Sevilla


ACCESS INFORMATION
------------------------

1. Creative Commons License of the dataset:
CC BY-NC-SA

2. Dataset DOI:
https://doi.org/10.12795/11441/153394


3. Related publication:
Kaltsidi, M.P., Fernández Cañero, R., Franco Salas, A. y Pérez Urrestarazu, L. (2020). Improving
the performance of felt-based living wall systems in terms of irrigation management. Urban Forestry
&Urban Greening, 54, 126782. https://doi.org/10.1016/j.ufug.2020.126782 

VERSIONING AND PROVENANCE
---------------

1. Last modification date:
15/01/2024

2. Were data derived from another source?:
No

3. Additional related data not included in this dataset:
No

METHODOLOGICAL INFORMATION
-----------------------

1. Description of the methods used to collect and generate the data:
NO

2. Data processing methods:
NO

3. Software or instruments needed to interpret the data:
NO

4. Information about instruments, calibration and standards:
NO

5. Environmental or experimental conditions:
NO

6. Quality-assurance procedures performed on the data:
NO  


FILE OVERVIEW 
----------------------

File name: 1. Ensayo de secado módulos sin plantas[dataset]
	Description: Numerical data, Tables and graphs of the drying test modules without plants
	File format: .xlsx
	Variables list: Water content

File name: 2. Hidrograma medio JV (Todos Goteros)[dataset]
	Description: Numerical data, Tables and graphs of the average hydrograph of the vertical garden for different drip flow rates.
	File format: .xlsx
	Variables list: Drainage flow rate versus time

File name: 3. Volumen drenaje a distintas programaciones de riego[dataset]
	Description: Numerical data, Tables and graphs of the drainage volume at different irrigation schedules
	File format: .xlsx
	Variables list: Drainage volume

File name: 4. Evolucion caudal drenaje[dataset]
	Description: Numerical data, Tables and graphs of the drainage flow evolution for different irrigation schedules
	File format: .xlsx
	Variables list: drainage flow evolution

File name: 5. Qmax de drenaje y % drenaje para distintas programaciones de riego[dataset]
	Description: Numerical data, Tables and graphs of the maximum drainage flow and drainage percentage for different irrigation schedules.
	File format: .xlsx
	Variables list: Maximum drainage flow and drainage percentage

File name: 6. Ensayo de stress de riego[dataset]
	Description: Numerical data, Tables and graphs of the irrigation stress test
	File format: .xlsx
	Variables list: Moisture content of the substrate