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Below is replication data and code, supporting the manuscript title “Uncovering the Intersections of Women’s Empowerment and Gender Equality in Climate Resilience Capacities within Climate Hotspots for Women in Zambia.” The data was collected in Luapula and North-Western provinces in Zambia. The selection of these provinces was based on identifying subnational climate hotspot areas for women in agrifood systems. Luapula province was identified as a hotspot for perennial crops, while the North-Western province was identified as a hotspot for mixed farming and vegetables, as well as for cereals and perennials. The data collection took place in the Zambezi district within the North-Western province and the Kawambwa district in Luapula province. These districts are rural areas where the majority of households depend on agrifood systems for their livelihoods. To obtain comprehensive insights, we interviewed 199 households, conducting separate interviews with both male and female co-heads. Among these households, 82 were located in the Zambezi district in the North-Western province, while 117 were situated in the Kawambwa district in Luapula province. The data presents information on various important aspects, including women's empowerment, access to and knowledge of climate-smart agriculture (CSA) and climate information services (CIS), perceptions and experiences related to climate change, as well as socio-economic and demographic characteristics of the households. The replication data is part of the AICCRA Zambia Baseline Survey 2022 (Zambezi district, North-western province and Kawambwa district, Luapula province) (Gbegbelegbe et al. 2022. AICCRA Zambia Baseline Survey 2022, Harvard Dataverse, V1, https://doi.org/10.7910/DVN/NLWWKM). We acknowledge and are thankful for the collaboration with IITA, in particular, Sika Gbegbelegbe, Steve Cole and David Chikoye, for the development of research tools and designing and conducting the data collection in the study areas in Luapula and North-western provinces, Zambia.

Files collected from ENTSO-E dataset for each Central West Europe (CWE) bidding zone, The Netherlands, Belgium, France and Germany. These files have been consolidated into csv files stored along with the original source. The European electricity market is immersed in an integration process that requires a fundamental transformation. In this process, Flow-Based Market Coupling, which was employed for the first time in the Central Western Europe electricity market in 2015 as a means to manage cross-border capacity allocation, is a crucial cornerstone. These files have been used for analyzing this new Coupling Market.

The data set provides the raw data we used in our research: energy use by primary energy source in United Kingdom, Italy, Netherlands, Portugal, Spain, Sweden, Germany and France, from 1800 to 2009, expressed in petajoules (the data do not cover the first decades of the period for some countries); the calculation process, based on the Herfindahl-Hirschman concentration index; and the outputs we obtained: the Energy Mix Concentration Index in the mentioned countries for the period covered. Our starting point are the historical databases developed by a number of energy researchers, that is, United Kingdom (Fouquet, 2014), Italy (Malanima, 2006), Netherlands (Gales et al., 2007), Portugal (Henriques, 2011), Spain (Rubio, 2005), Sweden (Kander, 2002) and Germany and France (Kander et al., 2014, where all the data, but the United Kingdom’s, have been collected - an alternative set of data is included for England and Wales by Warde (2007)-). The basic data set on energy consumption is available at http://www.fas.harvard.edu/~histecon/energyhistory/energydata.html

Material supporting the contribution by Bréthaut, Gallagher, Dalton and Allouche to Environmental Science & Policy : Power dynamics and integration in the Water-Energy-Food Nexus: learning lessons for transdisciplinary research in Cambodia (submitted for review, August 2018).

This is a dataset of the PAH raw data in PM2.5 and PM10 with sampling dates and locations.

The data set contains four directories. The Scripts directory contains four scripts and the four scripts were used to select 4,954 single-copy orthologous gene families and to carry out their corresponding sequences. The Raxml_run_trees directory contains the all ML gene trees reconstructed in the study. The Mrbayes_run_trees directory contains the all bayesian trees reconstructed in the study. The Bucky directory contains all of results generated by BUCKy.

Raw results of the temperature profiles and transients

Cost-effectiveness calculations for GHG emission abatement measures in Cyprus