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Dataset analysed in Pintossi, N.; Ikiz Kaya, D.; Pereira Roders, A. Identifying Challenges and Solutions in Cultural Heritage Adaptive Reuse through the Historic Urban Landscape Approach in Amsterdam. Sustainability 2021, 13, 5547. https://doi.org/10.3390/su13105547 Access: dataset embargoed until the doctoral defense of P.N., it can be requested at n.pintossi@tue.nl Date of data collection: 31/05/2018 Geographic location of data collection: Amsterdam, The Netherlands. The venue of the data collection is Pakhuis de Zwijger, Piet Heinkade 179, 1019 HC, Amsterdam, The Netherlands Activity of data collection: Historic Urban Landscape workshop 1 - Amsterdam. Held in Amsterdam, the Nethelands, on 30-31/05/2018 Aim of data collection: Multi-scale, participatory identification of challenges entailed in the adaptive reuse of cultural heritage and solutions Methods for collection/generation of data: see the methodology section and supporting information of Pintossi, N.; Ikiz Kaya, D.; Pereira Roders, A. Identifying Challenges and Solutions in Cultural Heritage Adaptive Reuse through the Historic Urban Landscape Approach in Amsterdam. Sustainability 2021, 13, 5547. https://doi.org/10.3390/su13105547 Researchers facilitating roundtable discussion and writing down paper version of data: Gamze Dane, Antonia Gravagnuolo, Paloma Guzman Molina, Ana Pereira Roders, Nadia Pintossi, and Julia Rey-Perez Original language of the data: English {"references": ["Pintossi, N., Ikiz Kaya, D. , & Pereira Roders, A. (2020). Identifying challenges and solutions in cultural heritage adaptive reuse through the Historic Urban Landscape approach in Amsterdam. XXX. DoiXXX"]}

This record contains raw data of a 3-month monitoring period of the HeLLo project. The datafiles titled MeasLog_YYYY-MM-DD.dat correspond to the raw data used for the data analysis presented in “Hygrothermal analysis at critical points of an internally insulated historic wall without vapour barrier: in situ measurements and dynamic simulation”, submitted for publication in journal energies. Each file, format MeasLog_YYYY-MM-DD.dat, corresponds to daily registered data monitored every minute. Each file, format MeasLog_YYYY-MM-DD.dat, contains temperature (T) and relative humidity (RH) values, monitored through T-RH sensors (Telaire T9602; Amphenol). The general architecture of the acquisition system is based on a Master Slave configuratio, as described in “Development of a Compatible, Low Cost and High Accurate Conservation Remote Sensing Technology for the Hygrothermal Assessment of Historic Walls” (doi:10.3390/electronics8060643). Each file, format MeasLog_YYYY-MM-DD.dat is a text-based DAT file and can be opened with a standard text editor.

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.

Dataset analyzed in Pintossi, N.; Ikiz Kaya, D.; Pereira Roders, A. Assessing Cultural Heritage Adaptive Reuse Practices: Multi-Scale Challenges and Solutions in Rijeka. Sustainability 2021, 13, 3603. https://doi.org/10.3390/su13073603 Access: dataset embargoed until the doctoral defense of P.N., it can be requested at n.pintossi@tue.nl Date of data collection: 28/03/2019 Geographic location of data collection: Rijeka, Croatia. The venue of the data collection is RiHub, Ul. Ivana Grohovca 1/a, 51000, Rijeka, Croatia. Activity of data collection: Historic Urban Landscape workshop 3 - Rijeka. Held in Rijeka, Croatia, on 28/03/2019 Aim of data collection: Multi-scale, participatory identification of challenges entailed in the adaptive reuse of cultural heritage and solutions to overcome these challenges. Methods for collection/generation of data: See the methodology section in Pintossi, N.; Ikiz Kaya, D.; Pereira Roders, A. Assessing Cultural Heritage Adaptive Reuse Practices: Multi-Scale Challenges and Solutions in Rijeka. Sustainability 2021, 13, 3603. https://doi.org/10.3390/su13073603. Researchers facilitating roundtable discussion and writing down paper version of data: Marco Acri, Martina Bosone, Deniz Ikiz Kaya, Silvia Iodice, Lu Lu, and Nadia Pintossi. Researcher translating to English, transcribing data in the digital tabular dataset, and cleaning the data: Nadia Pintossi. Language of the data: English. Original language of the data: English and Italian (refer to Original language.csv).

This dataset contains the underlying data (energy sector data for India) for the book chapter Song et al., 2022 published in Science in May 2022.