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The datasets present collected data aimed at measuring the state of cultural tourism and economic development and resilience of a select set of potential cultural tourism destinations in Europe, as part of the Horizon 2020 funded project SmartCulTour (www.smartcultour.eu). The data is collected on the level of Local Administrative Units (LAUs) for the following municipalities/cities: Spain: Ainsa, Barbastro, Benasque, Graus, Huesca, Jaca, Sariñena the Netherlands: Rotterdam, Delft, Dordrecht, Molenlanden, Barendrecht, Ridderkerk, Zwijndrecht Finland: Utsjoki Italy: Vicenza, Caldogno, Pojana Maggiore, Grumolo delle Abbadesse, Lonigo, Montagna Croatia: Split, Trogir, Kaštela, Solin, Sinj, Dugopolje, Klis Belgium: Dendermonde, Puurs-Sint-Amands, Bornem, Berlare, Aalst, Denderleeuw, Willebroek The data is presented as panel data and available for the following years: 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019. Please consult the metadata on each dataset for an overview of collected indicators and units of measurement.

This dataset is a subset of the TotalControl windfarm dataset compiled in the context of FarmConners Wind Farm Control Benchmark project for code comparison. This case aims to investigate the quantities of interest in the single wake behind a normally operating turbine, for a partially aligned 2-turbine configuration. It should be noted that the configuration is a subset of a wind farm simulation, i.e. there are additional blockage effects. The python files "plot_cross_sections.py" and "plot_performance.py" are to be used for loading and visualizing the velocity field through turbines stored in "cross_sections_timeseries.h5" and the turbine performance in "turb_performance.h5" respectively. The inflow in this case is a Conventionally Neutral Boundary Layer (CNBL) with a capping inversion of 8K strength at a height of 125 m. The precursor data of the atmospheric boundary layer simulations without any turbines is publicly available in the online zenodo repository at https://zenodo.org/communities/totalcontrolflowdatabase/. The complete datasets for the TotalControl windfarm simulations area available at https://zenodo.org/communities/totalcontrolwindfarmdatabase/

Dataset for TotalControl flow database precursor simulation of a pressure-driven high Reynolds number boundary layer flow (Casename PDk). Further information, including description of the case and dataset can be found in the deliverable report at: Andersen SJ, Meyers J, Munters W, Sood I, Troldborg N. "Flow Database for reference wind farms part 1: precursor simulations"

This dataset is a subset of the TotalControl windfarm dataset compiled in the context of FarmConners Wind Farm Control Benchmark project for code comparison. This case aims to investigate the quantities of interest in a row of normally operating turbines, for a fully aligned 8 turbine configuration. It should be noted that the configuration is a subset of a wind farm simulation, i.e. there are additional blockage effects. The python files "plot_cross_sections.py" and "plot_performance.py" are to be used for loading and visualizing the velocity field through turbines stored in "cross_sections_timeseries.h5" and the turbine performance in "turb_performance.h5" respectively. The inflow in this case is a Conventionally Neutral Boundary Layer (CNBL) with a capping inversion of 4K strength at a height of 250 m. The precursor data of the atmospheric boundary layer simulations without any turbines is publicly available in the online zenodo repository at https://zenodo.org/communities/totalcontrolflowdatabase/. The complete datasets for the TotalControl windfarm simulations area available at https://zenodo.org/communities/totalcontrolwindfarmdatabase/

In Task 2.1 of hybridGEOTABS project, an optimal load splitting algorithm (OLSA) was developed and validated. The OLSA splits the building thermal loads (calculated in T2.2 of the project) to the baseload and residual loads. The baseload is defined as the maximum share of GEOTABS that allows to minimise the energy use of the entire (primary + secondary) heating and cooling system, while maintaining thermal comfort in the building and by using and taking into account the thermal storage in the TABS. The algorithm is documented in detail in D2.1 of the hybridGEOTABS project. This document reports all the parameter values used in the OLSA.

Dataset for TotalControl flow database precursor simulation of a conventionally neutral atmospheric boundary layer flow (Casename CNk4). Further information, including description of the case and dataset can be found in the deliverable report at: Andersen SJ, Meyers J, Munters W, Sood I, Troldborg N. "Flow Database for reference wind farms part 1: precursor simulations"

Raw data for the article: Bestion, E, Soriano-Redondo, A, Cucherousset, J, Jacob, S, White, J, Zinger, L, Fourtune, L, Di Gesu, L, Teyssier, A, Cote, J. Altered trophic interactions in warming climates: consequences for predator diet breadth and fitness. Proceedings of the Royal Society: B. 2019. 286:20192227. https://doi.org/10.1098/rspb.2019.2227 This data should be cited as: Bestion, E, Soriano-Redondo, A, Cucherousset, J, Jacob, S, White, J, Zinger, L, Fourtune, L, Di Gesu, L, Teyssier, A, Cote, J (2019). Raw data for: "Altered trophic interactions in warming climates: consequences for predator diet breadth and fitness", Bestion et al 2019 Proceedings B. (Version 1). Zenodo. https://doi.org/10.5281/zenodo.3475402 This data is composed of one dataset with 21 columns and a README file Composition of the Bestion_2019_isotopy_dataset_for_zenodo.csv dataset - Individual: numerical index corresponding to each of the 327 individuals in the dataset - Age: age class, J = juvenile (<1 year old), A = adult (1 and 2+ year old) - Sex: F (female) or M (male) - Climate: Present-day climate or Warm climate - Enclosure: enclosure number (10 enclosures, 5 per climatic treatment) - delta13C_september: stable isotope values for delta13C in september - delta15N_september: stable isotope values for delta15N in september - delta13C_september_corrected: stable isotope values for delta13C in september corrected for the stable isotope value of the three invertebrate prey categories - delta15N_september_corrected: stable isotope values for delta15N in september corrected for the stable isotope value of the three invertebrate prey categories - Prop_predator_eaten: proportion of predatory invertebrates eaten by each individual derived from the corrected stable isotope values - Prop_phytophagous_eaten: proportion of phytophagous invertebrates eaten by each individual derived from the corrected stable isotope values - Prop_detritivorous_eaten: proportion of detritivorous invertebrates eaten by each individual derived from the corrected stable isotope values - Levins_diet_index: levins' dietary index corresponding to lizard diet specialization (with 3 = completely generalist and 1 = completely specialist lizard) - Body_Size_september: lizard body size (snout-vent length in mm) - Body_Mass_september: lizard body mass (in g) - Body_Condition_september: lizard body condition (residuals of body mass by body size) - Microbiota_shannon_index: shannon index representing gut microbial bacteria community diversity - Survival_winter: survival during the winter (1 = survived, 0 = died) - Abundance_predator_enclosure: abundance of predatory invertebrates within the enclosure - Abundance_phytophagous_enclosure: abundance of phytophagous invertebrates within the enclosure - Abundance_detitivorous_enclosure: abundance of detritivorous invertebrates within the enclosure

Dataset for associated publication.