README file
Data Set Title: MADFORWATER. WP5 Decision Support Tool for wastewater, water reuse and water and land management strategies in agriculture and WP6 Integration and assessment of water and land management strategies
Data Set Authors: Consuelo Varela-Ortega (Universidad Politécnica de Madrid), https://orcid.org/0000-0002-3714-4097; Najib Boubakri (Universidad Politécnica de Madrid), https://orcid.org/0000-0002-1393-3657; Irene Blanco-Gutiérrez (Universidad Politécnica de Madrid), https://orcid.org/0000-0002-6105-3339; Sebastian Sangro Lucas (Universidad Politécnica de Madrid); Alessandra Scardigno, (Centro Internazionale di Alti Studi Agronomici Mediterranei), https://orcid.org/0000-0001-9196-1090; Nicola Lamaddalena (Centro Internazionale di Alti Studi Agronomici Mediterranei); Sandra Mueller (Fachhochschule Nordwestschweiz); Emmanuel Oertlé (Fachhochschule Nordwestschweiz), http://orcid.org/0000-0003-4066-9377; Andrin Dietziker (Fachhochschule Nordwestschweiz).
Data Set Contributors: Atef Jaouani (University of Tunis El Manar), http://orcid.org/0000-0002-6772-1959; Ameur Cherif (Institut Supérieur de Biotechnologie de Sidi Thabet) http://orcid.org/0000-0001-7310-3842; Ahmed Rashed (National Water Research Center); Redouane Choukr-Allah (Institut Agronomique et Vétérinaire Hassan II); Mohamed El-Otmani (Institut Agronomique et Vétérinaire Hassan II).
Data Set Contact Persons: Consuelo Varela-Ortega (Universidad Politécnica de Madrid), https://orcid.org/0000-0002-3714-4097, consuelo.varela@upm.es [for UPM part];  Alessandra Scardigno (Centro Internazionale di Alti Studi Agronomici Mediterranei), https://orcid.org/0000-0001-9196-1090, scardigno@iamb.it [for IAMB part]; Sandra Mueller (Fachhochschule Nordwestschweiz), sandra.mueller@fhnw.ch; Emmanuel Oertlé (Fachhochschule Nordwestschweiz), http://orcid.org/0000-0003-4066-9377, emmanuel.oertle@fhnw.ch [for FHNW part].
Data Set License: this data set is distributed under a Creative Commons Attribution 4.0 International (CC BY 4.0) license, https://creativecommons.org/licenses/by/4.0/.       
Publication Year: 2020
Project Info: MADFORWATER (DevelopMent AnD application of integrated technological and management solutions FOR wasteWATER treatment and efficient reuse in agriculture tailored to the needs of Mediterranean African Countries), funded by European Union, Horizon 2020 Programme. Grant Agreement num. 688320; http://www.madforwater.eu/.

Data set Contents
The data set consists of:
•	a compressed folder named M4W_WP5_WP6_DST_ManagementStrategies_UPM.zip* containing
o	4 textual files saved in .rtf format 
M4W_WP5_T5-3_Enquête-auprès-des-agriculteurs.rtf
M4W_WP5_T5-3_Scenario-assumptions-Egypt-Case-Study.rtf
M4W_WP5_T5-3_Scenario-assumptions-Morocco-Case-Study.rtf
M4W_WP5_T5-3_Scenario-assumptions-Tunisia-Case-Study.rtf
o	2 tabular files saved in .xls format 
M4W_WP5_T5-3_Fieldwork-Les-ressources-hydrauliques.xls 
M4W_WP5_T5-3_Fieldwork-occupation-du-sol.xls
o	1 folder README file saved in .rtf format
M4W_WP5_WP6_DST_ManagementStrategies_UPM_README.rtf 
*The files contained in this folder are under embargo until the 30th of November 2024, to allow the authors to publish the results and exploit them. 
•	a compressed folder named M4W_WP5_WP6_DST_ManagementStrategies_IAMB.zip# containing
o	2 tabular files saved in .ods format
M4W_WP5_WP6_DST_ManagementStrategies_egypt.ods
M4W_WP5_WP6_DST_ManagementStrategies_morocco.ods
o	1 folder README file saved in .rtf format
M4W_WP5_WP6_DST_ManagementStrategies_IAMB_README.rtf
#The files contained in this folder are under embargo until the 3rd of January 2021, to allow the authors to publish the results and exploit them. 
•	a compressed folder named M4W_WP5_WP6_DST_ManagementStrategies_FHNW.zip containing
o	a folder named Raw_data_experts that contains 23 textual files in .pdf format
num.pdf (with num = 1, 2, 3, …, 23)
o	a folder named Raw_data_stakeholders_experts that contains
•	a subfolder named Answer_sheets that contains 8 textual files in .docx format
Questionnaire_IWLMS_Instruments_Egypt_1_20200527.docx
Questionnaire_IWLMS_Instruments_Egypt_2_20200527.docx
Questionnaire_IWLMS_Instruments_Egypt_3_20200527.docx
Questionnaire_IWLMS_Instruments_Morocco_1_20200527.docx
Questionnaire_IWLMS_Instruments_Morocco_2_20200527.docx
Questionnaire_IWLMS_Instruments_Tunisia_1_20200527.docx
Questionnaire_IWLMS_Instruments_Tunisia_2_20200527.docx
Questionnaire_IWLMS_Instruments_Tunisia_3_20200527.docx
•	2 textual files in .docx format 
Questionnaire_IWLMS_Instruments_template_English-French_20200527.docx
Survey_StakeholdersContactingLetter_template_anonymous_20200527.docx
o	a tabular file in .xls format 
Questionnaires_Experts-Stakeholders-Responses_analysis.xls
o	1 folder README file saved in .rtf format
M4W_WP5_WP6_DST_ManagementStrategies_FHNW_README.rtf
•	the README file of the whole dataset saved in .rtf format
M4W_WP5_WP6_DST_ManagementStrategies_README.rtf
Data set Documentation
Abstract
The data set includes collected and generated data used to upgrade the integrated hydro-agro-economic model developed in MADFORWATER WP3 to use it as a decision support tool (DST) for defining basin-scale strategies for water & land management in agriculture that integrates water reuse / irrigation technologies and related economic instruments, in order to improve the irrigation efficiency and enhance the treated WW reuse in agriculture. The DST aims at identifying the best management strategies by simulating different scenarios and it has been applied to the three case study areas of MADFORWATER: the irrigated farming system in the Kafr-El- Sheikh Region in Egypt, the citrus farming system in Souss-Massa region in Morocco and the permanent irrigated farming in the Nabeul Governorate in Tunisia. For each simulated scenario, the proposed model allows to identify optimal farmers’ choices related to cropping patterns and agro-techniques. The model also allows to estimate the effects of such choices on water consumption, water distribution among crops, land use changes and farmer income. In the simulated scenarios, the tool considers the impacts of irrigation technologies, increased water availability from wastewater reuse, and regulatory and economic instruments on the socio-economic and environmental systems. Simulated data predict the behavior of the tested innovative irrigation technologies and economic instruments.
The data set contains also the elaboration of sustainable water & land management strategies in agriculture for the three case study areas of MADFORWATER. Each proposed strategy includes the identification and analysis of feasible and operational regulatory and economic instruments aimed at enhancing water reuse and the implementation of the efficient irrigation technologies developed in WP3. The strategies are delivered in the form of a report and are based upon qualitative data from policy and literature review, quantitative data from public data sources and collected by local teams, data collected during three fieldwork missions carried out in the region of Nabeul (Tunisia), qualitative information gathered in the MADFORWATER project’s stakeholder consultation workshops, and on results from the model-based Decision Support Tool (DST) developed in the project.  
Moreover, this data set includes the results of questionnaires and answer sheets provided by expert and stakeholder interviewed during MADFORWATER project for establishing integrated water & land management strategies and for evaluating the suitability of identified measures to overcome country specific barriers for the implementation of the proposed strategies.
Potential users for this data include: (i) policy-makers or other decision-makers involved in water management and planning or agricultural policy development; (ii) researchers and companies active in the fields of treated wastewater reuse, water resources management, irrigation and agricultural and natural resource economics.
Notes 
Detailed descriptions (the content of each file, the data sources and, in some cases, the methodologies used) are reported in the readme files contained in each folder of the dataset (i.e. M4W_WP5_WP6_DST_ManagementStrategies_UPM_README.rtf, M4W_WP5_WP6_DST_ManagementStrategies_IAMB_README.rtf, and M4W_WP5_WP6_DST_ManagementStrategies_FHNW_README.rtf).