This DATSETNAMEreadme.txt file was generated on 2021-01-28 by Nickolaj Feldt Jensen GENERAL INFORMATION 1. Title of Dataset: Supplementary data for "Hygrothermal assessment of diffusion open insulation systems for interior retrofitting of solid masonry walls" 2. Author Information A. Principal Investigator Contact Information Name: Nickolaj Feldt Jensen Institution: Technical University of Denmark, Department of Civil Engineering Address: Brovej Building 118, DK2800, Kgs. Lyngbyg, Denmark Email: nicf@byg.dtu.dk B. Co-investigator Contact Information Name: Eva B. Møller Institution: Technical University of Denmark, Department of Civil Engineering Address: Brovej Building 118, DK2800, Kgs. Lyngbyg, Denmark Email: ebmo@byg.dtu.dk C. Co-investigator Contact Information Name: Carsten Rode Institution: Technical University of Denmark, Department of Civil Engineering Address: Brovej Building 118, DK2800, Kgs. Lyngbyg, Denmark Email: car@byg.dtu.dk D. Co-investigator Contact Information Name: Birgitte Andersen Institution: Aalborg University Copenhagen, Department of the Built Environment Address: A.C. Meyers Vænge 15, A, DK2450, Copenhagen SV, Denmark Email: bian@build.aau.dk E. Co-investigator Contact Information Name: Tommy R. Odgaard Institution: COWI A/S Address: Parallelvej 2, 2800 Kongens Lyngby, Denmark Email: toog@COWI.dk F. Co-investigator Contact Information Name: Søren Peter Bjarløv (Retired) Institution: Technical University of Denmark, Department of Civil Engineering Address: Brovej Building 118, DK2800, Kgs. Lyngbyg, Denmark Email: spb@byg.dtu.dk G. Principal Investigator Alternate Contact Information Name: Nickolaj Feldt Jensen Institution: Aalborg University Copenhagen, Department of the Built Environment Address: A.C. Meyers Vænge 15, A, DK2450, Copenhagen SV, Denmark Email: nfj@build.aau.dk 3. Date of data collection (single date, range, approximate date): 2015.05.01-2019.05.01 4. Geographic location of data collection: Latitude 55.79◦N, Longiute 12.53◦E, Kgs. Lyngby Denmark 5. Information about funding sources that supported the collection of the data: European Union’s Horizon 2020 research and innovation program under grant agreement No 637268, The landowners’ Investment Foundation, and Realdania SHARING/ACCESS INFORMATION 1. Licenses/restrictions placed on the data: CC-BY 4.0 2. Links to publications that cite or use the data: https://doi.org/10.1016/j.enbuild.2018.05.053 https://doi.org/10.1002/cepa.868 https://doi.org/10.1016/j.buildenv.2020.107011 https://doi.org/10.1016/j.buildenv.2020.107031 https://doi.org/10.1051/e3sconf/202017201003 https://doi.org/10.1051/e3sconf/202017220004 *****doi address to the Special Issue in Journal of Building Physics***** 3. Links to other publicly accessible locations of the data: 4. Links/relationships to ancillary data sets: https://doi.org/10.11583/DTU.12033735 https://doi.org/10.11583/DTU.12458207 5. Was data derived from another source? no A. If yes, list source(s): 6. Recommended citation for this dataset: Jensen, Nickolaj Feldt; Odgaard, Tommy Riviere; Bjarløv, Søren Peter; Andersen, Birgitte; Rode, Carsten; Møller, Eva B. (2020): Supplementary data for "Hygrothermal assessment of diffusion open insulation systems for interior retrofitting of solid masonry walls". Technical University of Denmark. Dataset. https://doi.org/10.11583/DTU.11907402.v1 DATA & FILE OVERVIEW 1. File/folder List: Measurements of temperature and relative humidity (zip file, 853 MB) Contains the 10-minute measurements of temperature and relative humidity from the experimental setup (24 solid masonry test walls), hourly average and 96-hours running average of the 10-minute measurements of temperature and relative humidity. Provided in Excel format. pH measurements from the test walls (Excel xlsx file, 1 MB) Contains the pH measurements for the masonry/insulation interface (internal render and adhesive glue mortars) in the solid masonry test walls. Samples were drilled out using a 100 mm hole-saw and the samples were tested in the laboratory. Provided in Excel format. Mould-growth modelling (zip file, 703 MB) Contains the theoretical mould-growth predictions for the masonry/insulation interface and the embedded wooden elements in the solid masonry test walls. The VTT, MRD and WUFI-Bio models were used and the predictions were made using the hourly average temperature and relative humidity. Provided in Excel format and in the WUFI-Bio project file format. Mycometer Results (zip file, 2 MB) Contains the on-site Mycometer results, which is a quantitative method for determining the extent of of fungal growth in a construction. Samples were drilled out using a 100 mm hole-saw. The surface samples were taken in the masonry/insulation interface (inside the drilling holes) while for growth inside the insulation systems the samples were tested in the laboratory. Provided in Excel format. Container G Mould identification photos (zip file, 197 MB) Photographical documentation of the identification of fungi species in the masonry test wall in container G (qualitative data). Provided in JPG format. Container X Mould identification photos (zip file, 387 MB) Photographical documentation of the identification of fungi species in the masonry test wall in container X (qualitative data). Provided in JPG format. Wind driven rain measurements (Excel xlsx file, 2 MB) Contains the 15-minute measurements of wind driven rain striking vertical rain gauge plates installed on the south-west and north-east facades of the two test containers. Provided in Excel format. 2. Relationship between files, if important: The files were all used to assess the hygrothermal performance of the internally insulated solid masonry walls and the potential risk of fungal growth. 3. Additional related data collected that was not included in the current data package: The 10-minute measurements of temperature and relative humidity for wall 16 in container G are left out of the present dataset, as the measurement campaign for this wall is ongoing and the results are yet to be published in a scientific journal. Additional photographic documentation and drawing material concerning the construction process of the experimental setup are stored locally at the Technical University of Denmark, Institut of Civil Engineering and may be provided upon request. 4. Are there multiple versions of the dataset? yes A. If yes, name of file(s) that was updated: The present Readme file, the VTT and MRD calculation files, and the 10-minute measurements of temperature and relative humidity were added. In addition, the structure of the datasets were changed. i. Why was the file updated? Due to update of the data management plan, resulting in more data files being uploaded. ii. When was the file updated? 2021.01.28 METHODOLOGICAL INFORMATION 1. Description of methods used for collection/generation of data: Measurements of temperature and relative humidity: Description of the experimental setup may be found in the following publications: https://doi.org/10.1016/j.enbuild.2018.05.053, https://doi.org/10.1016/j.buildenv.2020.107011, Special Issue in Journal of Building Physics pH measurements from the test walls: Description of the test procedure may be found in the following publications: https://doi.org/10.1016/j.buildenv.2020.107011, https://doi.org/10.1051/e3sconf/202017201003 Mould-growth modelling: Description of the mould-growth modelling may be found in the following publications: https://doi.org/10.1016/j.buildenv.2020.107011, https://doi.org/10.1051/e3sconf/202017201003 Mycometer Results: Description of the test procedure may be found in the following publications: https://doi.org/10.1016/j.buildenv.2020.107011, https://doi.org/10.1051/e3sconf/202017201003 Container G Mould identification photos: Description of the test procedure may be found in the following publications: https://doi.org/10.1016/j.buildenv.2020.107011 and Samson, R. A., Houbraken, J., Thrane, U., Frisvad, J. C., & Andersen, B. (2010). Food and indoor fungi: Second Edition. (2nd ed.) CBS-KNAW Fungal Biodiversity Centre. C B S Laboratory Manual Series, No. 2 Container X Mould identification photos: Description of the test procedure may be found in the following publications: https://doi.org/10.1016/j.buildenv.2020.107011 and Samson, R. A., Houbraken, J., Thrane, U., Frisvad, J. C., & Andersen, B. (2010). Food and indoor fungi: Second Edition. (2nd ed.) CBS-KNAW Fungal Biodiversity Centre. C B S Laboratory Manual Series, No. 2 Wind driven rain measurements: Description of the rain gauges may be found in the following publications: https://doi.org/10.1016/j.enbuild.2018.05.053 2. Methods for processing the data: Measurements of temperature and relative humidity: The 10-minute measurements were corrected using calibration data obtained prior to installation of the sensors. In addition, the data were transformed into hourly average and 96-hours running average for the mould-growth models and for the visual representations in the scientific publications. pH measurements from the test walls: Upon reading the pH level on the measurement eqipment, no further processing was done for the data. Mould-growth modelling: The hourly average temperature and relative humidity were used as input for the mould-growth models and the appropriate material sensitivity class was selected in the model, the model output woulb be the individual models mould-growth index. Mycometer Results: The Mycometer values dispalyed on the measurement eqipment during were used as input for the Mycometer Excel calculation sheets (Provided by Mycometer A/S upon purchase of the Mycomter testing kit), which would then show the extent of the fungal growth as a quantitative results. Container G Mould identification photos: The swab samples streaked out on agar media and the fungi species were determined through morphological identification. The findings were documented with photographs of the agar media. Container X Mould identification photos: The swab samples streaked out on agar media and the fungi species were determined through morphological identification. The findings were documented with photographs of the agar media. Wind driven rain measurements: The rain measurements were exported from the logging software to Excel format and the various data files were combined into one long data series. 3. Instrument- or software-specific information needed to interpret the data: WUFI-Bio by Fraunhofer Institute for Building Physics, free download available at https://wufi.de/en/2019/12/03/wufi-bio-4-0/ 4. Standards and calibration information, if appropriate: Calibration data for the 10-minute measurements of temperature and relative humidity are provided for each sensor in all the data files where the data were not automatically calibrated during the export process. 5. Environmental/experimental conditions: Described in https://doi.org/10.1016/j.buildenv.2020.107011 6. Describe any quality-assurance procedures performed on the data: Measurements of temperature and relative humidity: Calibration of the sensors was performed prior to installation in the experimentatal setup. In addition, wooden/gypsum dowels were installed in 3 locations in each masonry test wall and the results were compared to obtain a better understanding of the precision of the digital sensors, as resistance measurements using dowels have previously been shown to be reliable in long-term measurement campaigns. pH measurements from the test walls: A minimum of two samples were tested for each test location. Mycometer Results: A minimum of two samples were tested for each test location. Wind driven rain measurements: For the rain measurements from the South-West orientation, data from the two rain gauges were compared to determine if there were any differences in the measured rain striking the South-West facade of the two test containers. No comparison was done for the North-East orientation, as only one rain gauge was installed facing this orientation. 7. People involved with sample collection, processing, analysis and/or submission: Nickolaj Feldt Jensen Eva B. Møller Carsten Rode Birgitte Andersen Tommy R. Odgaard Søren Peter Bjarløv DATA-SPECIFIC INFORMATION FOR: [FILENAME] 1. Number of variables: 2. Number of cases/rows: 3. Variable List: 4. Missing data codes: n 5. Specialized formats or other abbreviations used: