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In-situ H₂O and D₂O vapor sorption of native and deuterated Scots pine wood. Cellulose 33, 5695–5720 (2026). https://doi.org/10.1007/s10570-026-07114-z\n\nAbstract\n\nThis study (1) determined the differences between the dynamic vapor sorption (DVS) behavior of wood subjected to light (H2O) and heavy water (D2O) vapors at matching equivalent relative humidities (RHs) and (2) developed an in-situ method for studying the transmission-mode Fourier-transform infrared (FTIR) spectra of wood subjected to increasing RHs. The D2O-subjected wood was pre-deuterated so that the hydrogen bonding of the native wood with H2O was compared with the deuterium bonding that occurs with D2O for the DVS and FTIR studies. Fibrous Scots pine sapwood particles were used for the DVS experiments, whereas FTIR spectroscopy involved Scots pine sapwood earlywood microscopic sections placed inside a small RH chamber. The sorption isotherms and hysteresis plots of H2O and D2O showed statistically non-significant differences between the solvent vapors. However, larger practical differences were observed at higher RHs, with the H2O sorption isotherms having higher “equilibrium” moisture contents. The Gibbs free energies of sorption and desorption at equilibrium, as determined from the DVS data, showed statistically significant differences, suggesting that deuterium bonding is more thermodynamically favorable. The sorption and desorption rates obtained from the DVS samples generally indicate that H2O vapor subjection progresses initially at faster rates per RH level, without significantly affecting the total experimental time. The accessibility of the hydroxy groups increased somewhat with D2O between the before- and after-isotherm scenarios. In the FTIR spectra, H2O addition led to higher peak intensities and broader hydroxy band widths due to increased RH. The FTIR spectra for the D2O case had a decrease in the hydroxy band area, particularly in the width parameter, while the intensity and width of the formed deuteroxy peak grew as RH increased. The FTIR spectra also provided evidence of a successful hydrogen-versus-deuterium bonding comparison for the DVS study, as the intensities and band widths reverted to their original states after drying using a water-vapor-subjection method like that used in the DVS. Finally, it is hypothesized that deuterated wood is less hygroscopic than native wood, despite the thermodynamic favorability of deuterium bonding.\n\nData Description\n\nMethodological details can be found in the associated publication. The research data has been collated into a ZIP folder.\n\nThe \"Dynamic Vapor Sorption\" folder contains the following:\n\n\n\nThe \"D2O for Analysis\" folder with the D₂O original DVS measurement data XLSX (Microsoft Corp. Excel) files, which have been edited during data analysis and left in a more modified or tinkered state. The notations of these XLSXs should be apparent to professionals in wood materials science or chemical engineering.\n\nThe \"Dynamic Vapor Sorption Data Analysis.opju\" (OriginLab Corp. OriginPro) file, wherein most of the notations are apparent by reading the associated publication. To name a potentially unfamiliar one, the \"KRCs\" are \"kinetic rate constants\". This OPJU file and its XLSX companion (below) form the basis of the DVS-based data analyses involving sorption isotherms, sorption hystereses, Gibbs free energy determinations, sorption rates, and hydroxy group accessibility determinations.\n\nThe \"Dynamic Vapor Sorption Data Analysis.xlsx\" file is the companion to the OPJU file above. It contains key data collected and subsequently processed from the original DVS measurement data files (D₂O and H₂O). Its notations are mostly apparent in the associated publication or are based on general scientific knowledge.\n\nThe \"H2O for Analysis\" folder contains the H₂O original DVS measurement data XLSX files, which were edited during data analysis and left in a more modified or tinkered state. The notations of these XLSXs should be apparent to professionals in wood materials science or chemical engineering.\n\nThe \"Slopes Determination\" folder contains the D₂O and H₂O original DVS measurement data XLSX files, further processed to quantify the dm/dt slopes, as per M. Altgen. There is also a test file for the slope development at the 90 % RH level.\n\n\nN.B. The \"Linear Mixed Effects Model\" application was used in OriginPro for specific statistical analyses.\n\nThe \"Fourier-Transform Infrared Spectroscopy\" folder contains the following:\n\n\n\nThe \"Fourier-Transform Infrared Spectroscopy Data Analysis.opju\" file, wherein most of the notations are apparent by reading the associated publication. To name a few potentially unfamiliar ones, \"RB\" refers to \"rubber-band baseline correction\" and \"AP\" to \"anchor-point baseline correction\" for FTIR spectral data. This OPJU file and its XLSX companion (below) form the basis of the FTIR spectroscopic data analyses, which involve truncating the raw data, subtracting the blank spectra from the primary data, baseline-correcting the data, and then normalizing it, as described in more detail in the associated publication. The area integrations of the spectral data are also key here (cf., the publication for more details).\n\nThe \"Fourier-Transform Infrared Spectroscopy Data Analysis.xlsx\" file is the companion of the OPJU file above. It is key to the hydroxy and deuteroxy group band areas and the relative deuteroxy band area. The notations are apparent to those with general scientific knowledge.\n\nThe subfolders will not be named in detail, since they contain further subfolders with FTIR spectral data files in, e.g., comma-separated values (CSVs) format. This format is the key one for playing around with the data, if one desires. The other file formats are auxiliary and potentially more difficult to work with.\n\n\nN.B. The CSV files can be analyzed using, e.g., the two Python programs available from the GitHub repository linked in this dataset collection."},"field_of_science":[{"id":"58c407dd-b614-4d38-a92a-e6d9cdff7814","url":"http://www.yso.fi/onto/okm-tieteenala/ta216","in_scheme":"http://www.yso.fi/onto/okm-tieteenala/conceptscheme","pref_label":{"en":"Materials engineering","fi":"Materiaalitekniikka","sv":"Materialteknik"}}],"infrastructure":[],"issued":"2026-06-18","keyword":[],"language":[],"metadata_owner":{"id":"fce90ccd-e305-45f9-90b3-1e462f048c9a","organization":"aalto.fi","admin_organization":"aalto.fi"},"other_identifiers":[],"persistent_identifier":"doi:10.5281/zenodo.20736557","pid_generated_by_fairdata":false,"projects":[],"provenance":[],"relation":[],"remote_resources":[],"spatial":[],"state":"published","temporal":[],"theme":[],"title":{"en":"In-situ H₂O and D₂O vapor sorption of native and deuterated Scots pine wood"},"created":"2026-08-28T11:05:15Z","modified":"2026-09-28T05:58:06Z","dataset_versions":[{"id":"0c1dea0b-4f05-41f4-80f0-867beadcb7bb","title":{"en":"In-situ H₂O and D₂O vapor sorption of native and deuterated Scots pine wood"},"persistent_identifier":"doi:10.5281/zenodo.20736557","state":"published","created":"2026-08-28T11:05:15Z","version":1}],"published_revision":3,"version":1,"api_version":3,"metadata_repository":"Fairdata","record_created":"2026-08-28T11:05:15Z","record_modified":"2026-09-28T05:58:09Z"},{"id":"e2b0030b-9692-46d4-aeca-0a311634964e","access_rights":{"id":"383091dd-4921-482e-9d3f-31468d142617","license":[{"id":"35b18e72-3819-4ec6-a1be-14624f29d968","url":"http://uri.suomi.fi/codelist/fairdata/license/code/CC-BY-4.0","in_scheme":"http://uri.suomi.fi/codelist/fairdata/license","pref_label":{"en":"Creative Commons Attribution 4.0 International (CC BY 4.0)","fi":"Creative Commons Nimeä 4.0 Kansainvälinen (CC BY 4.0)"}}],"access_type":{"id":"d01ac02c-fc70-4c68-9434-8383cb693ff0","url":"http://uri.suomi.fi/codelist/fairdata/access_type/code/open","in_scheme":"http://uri.suomi.fi/codelist/fairdata/access_type","pref_label":{"en":"Open","fi":"Avoin"}},"restriction_grounds":[]},"actors":[{"id":"25ceaf01-a19a-483a-9c98-aff82aa35892","roles":["creator"],"person":{"id":"824d9767-1379-4c91-b484-1a6d906adec4","name":"Heqi Wang","external_identifier":"https://orcid.org/0000-0002-5571-3505"},"organization":{"id":"bcf4d306-dcb4-4d5d-b303-c6e0604e27cb","pref_label":{"en":"Department of Built Environment","fi":"Department of Built Environment","sv":"Department of Built Environment","und":"Department of Built Environment"},"url":"http://uri.suomi.fi/codelist/fairdata/organization/code/10076-T213","in_scheme":"http://uri.suomi.fi/codelist/fairdata/organization","parent":{"id":"7d61af1c-0cc6-46fe-9940-21da2b080cb3","pref_label":{"en":"Aalto University","fi":"Aalto-yliopisto","sv":"Aalto-universitetet","und":"Aalto-yliopisto"},"url":"http://uri.suomi.fi/codelist/fairdata/organization/code/10076","in_scheme":"http://uri.suomi.fi/codelist/fairdata/organization"}}},{"id":"95ed8998-8f8d-422c-bc8a-aa13d360342b","roles":["publisher"],"organization":{"id":"6bfed996-9150-4998-bc4c-25783601a9f1","pref_label":{"en":"Zenodo","fi":"Zenodo","sv":"Zenodo"}}}],"cumulative_state":0,"data_catalog":"urn:nbn:fi:att:data-catalog-acris","description":{"en":"Predictive residual-based anomaly-identification demo for multimodal transportation networks, developed within ACUMEN WP2 Task 2.3.\r\n\r\nThis Zenodo record archives the source code from the GitHub repository https://github.com/HeckyW/ACUMEN-anomalydetection. 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The panels can be in their open configuration, where the sound reaches the absorptive material allocated in the interior, or closed, making the surface reflective. There is a total of 55 panels distributed as follows: 8 on three of the walls, 11 on the fourth one, and 20 on the ceiling. More details about the room can be found in (Prawda et al., 2022).\n\nThe averaged atmospheric conditions during the measurement time are:\n\n\n\n\n\n\n\n\nAv. Temperature\n\n\n\nRel. humidity\n\n\n\nAtm. pressure\n\n\n\n\n\n21.5 C\n\n\n\n 25.1 %\n\n\n\n 1011.9 Pa\n\n\n\n\n\nThree room configurations were considered depending on the panel configurations: dry, anisotropic and reverberant. The specific panel configurations are illustrated in Fig. 2 of the Readme_Arni_em32 document.\n\nThe measurements\n\nAll measurements were obtained using an exponential sweep covering the frequencies 20 Hz to 20 kHz. The sampling rate is 48 kHz. 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A. & Lokki T. & Fernandez-Grande E., Frequency and spatial limitations of sound field reconstruction methods for navigable reproduction. In Forum Acusticum Euronoise (2025), Málaga, Spain.\n\n\nContact\n\nFor any questions, please address them to antonio.figueroa@upm.es."},"field_of_science":[{"id":"5b789f2f-f545-497c-8354-c21a6718c723","url":"http://www.yso.fi/onto/okm-tieteenala/ta213","in_scheme":"http://www.yso.fi/onto/okm-tieteenala/conceptscheme","pref_label":{"en":"Electronic, automation and communications engineering, electronics","fi":"Sähkö-, automaatio- ja tietoliikennetekniikka, elektroniikka","sv":"El-, automations- och telekommunikationsteknik, elektronik"}}],"infrastructure":[],"issued":"2025-06-26","keyword":[],"language":[],"metadata_owner":{"id":"fce90ccd-e305-45f9-90b3-1e462f048c9a","organization":"aalto.fi","admin_organization":"aalto.fi"},"other_identifiers":[],"persistent_identifier":"doi:10.5281/zenodo.15169198","pid_generated_by_fairdata":false,"projects":[],"provenance":[],"relation":[],"remote_resources":[],"spatial":[],"state":"published","temporal":[],"theme":[],"title":{"en":"Spatial Room Impulse Response Dataset: em32 along Line. 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