This readme.txt file was generated on 20260122 by Julio Pindado
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GENERAL INFORMATION
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1. Title of Dataset: Integrated Climate, Hydrological, and Economic Modelling Dataset for the Douro River Basin
2. Authors: 
? Laura Gil-García
IME, Universidad de Salamanca, Francisco Tomás y Valiente, s/n, 37007, Salamanca, Spain
Email: lauragil_9@usal.es
ORCID: 0000-0003-4153-2495
? Nazaret M. Montilla-López
WEARE Research Group, Universidad de Córdoba, Córdoba, Spain
? Carlos Gutiérrez-Martín
WEARE Research Group, Universidad de Córdoba, Córdoba, Spain
 ? Ángel Sánchez-Daniel
Department of Economic and Economic History, Universidad de Salamanca,
Francisco Tomás y Valiente, s/n, 37007, Salamanca, Spain
? Pablo Saiz-Santiago
Douro River Basin Authority, C/ Muro, 5, Valladolid, Spain
? Josué M. Polanco-Martínez
Department of Statistics, Faculty of Sciences, Universidad de Salamanca, Plaza Merced, s/n, 37008, Salamanca, Spain
? Julio Pindado
IME, Universidad de Salamanca, Francisco Tomás y Valiente, s/n, 37007, Salamanca, Spain
? Carlos Dionisio Pérez-Blanco
IME, Universidad de Salamanca, Francisco Tomás y Valiente, s/n, 37007, Salamanca, Spain

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DESCRIPTION
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1. Dataset language: English
2. Abstract: 
This dataset comprises the socio-ecological and modelling data used in the study "Actionable human-water system modelling under uncertainty", which develops an interdisciplinary grand ensemble integrating climate, hydrological, water management, and microeconomic models to quantify uncertainties in water allocation under climate change. The dataset supports reproducibility of model runs, scenario results, and comparative analysis across management and climate scenarios within the Douro River basin.
3. Keywords: Socio-ecological ensemble, microeconomic models, hydrological models, water allocation, climate scenarios. 
4. Date of data collection: 20 January 2023
5. Date of data publication on repository: 23 January 2026
6. Funding (Information about funding sources that supported the collection of the data): This dataset was generated within the framework of research projects funded by the Spanish Ministry of Science and Innovation (MCIN) and the State Research Agency (AEI) under project TED2021-131066B-I00 (MCIN/AEI/10.13039/501100011033), co-funded by the European Union through NextGenerationEU/PRTR. Additional support was provided by the project WADECO (PID2023-146274OB-I00) and by the PRIMA Foundation's project TALANOA-WATER (Talanoa Water Dialogue for Transformational Adaptation to Water Scarcity under Climate Change).
7. Geographic location of data collection <latitude, longitude, or city/region, Country, continent as appropriate>: Douro River Basin, Spain.
8. Recommended citation for this dataset: 
Gil-García, L., Montilla-López, N. M., Gutiérrez-Martín, C., Sánchez-Daniel, Á., Saiz-Santiago, P., Polanco-Martínez, J. M., Pindado, J., & Pérez-Blanco, C. D. (2024). Integrated Climate, Hydrological, and Economic Modelling Dataset for the Douro River Basin
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SHARING/ACCESS/CONTEXT INFORMATION
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1. Usage Licenses/restrictions placed on the data (please indicate if different data files have different usage license).
Creative Commons Attribution 4.0 International (CC BY 4.0) 
2. Related publications: 
Gil-García, L., Montilla-López, N. M., Gutiérrez-Martín, C., Sánchez-Daniel, Á., Saiz-Santiago, P., Polanco-Martínez, J. M., Pindado, J., & Pérez-Blanco, C. D. (2024). Actionable human-water system modelling under uncertainty. Hydrology and Earth System Sciences, 28, 4501-4520. https://doi.org/10.5194/hess-28-4501-2024 
3. Dataset DOI:
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DATA & FILE OVERVIEW
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1. File List:
• File1.xlsx: Table S1 - Core model input data (e.g., climate/hydrology forcings, basin attributes).
• File2.xlsx: Table S2 - Water allocation outputs across scenarios (AQUATOOL results).
• File3.xlsx: Table S3 - Microeconomic model outputs (irrigator responses, employment, profit).
2. Relationship between files, if important: 
The files are interrelated: model inputs feed climate and hydrological modules; outputs from water allocation scenarios feed microeconomic analysis. Cross-referencing keys (e.g., scenario ID, AWDU ID) are used to integrate results across modules.
3. File format: Excel (.xlsx)
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METHODOLOGICAL INFORMATION
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1. Instrument- or software-specific information needed to interpret/reproduce the data, please indicate their location: 
Data are formatted for use in modelling environments such as AQUATOOL decision support system and microeconomic solvers (e.g., optimization packages). Metadata sheets provide variable definitions, units, and code mappings.
2. Describe any quality-assurance procedures performed on the data:
• Consistency checks between scenario identifiers across modules.
• Validation of input ranges against source datasets and published literature.
• Cross-validation of output aggregates with summary statistics reported in the paper.
3. Author contact information: Laura Gil-García. Lauragil_9@usal.es