https://researchdata.se/en/catalogue Search results en The dataset include the occurrence and mass concentrations of microplastics (MPs) in greywater generated from single households, a residential building, and an urban city district. In addition, the retention capacity will be evaluated for the filter materials used in the treatment systems – package plants (for single households), a hybrid treatment wetland (for the residential building), and two green walls (at pilot scale in the urban city district). Finally, the present the MP mass concentrations in the effluents. 1. Study_Description: This file includes the summary of the research study, data collection and the standard analytical methods used for analyzing microplastics in greywater. 2. Microplastics_greywater: The influent and effluent mass concentrations of microplastics, volume sampled and filtered including the supplementary parameters. Mon, 08 Jun 2026 10:29:28 GMT https://researchdata.se/en/catalogue/dataset/2025-196 https://researchdata.se/en/catalogue/dataset/2025-196 Luleå University of Technology Mashreki Sami Annelie Hedström Elisabeth Kvarnström Inga Herrmann This dataset contains the result files of the experiments conducted within the study for which the manuscript was entitled "The effect of PCL addition on 3D-printable PLA/HA composite filaments for the treatment of bone defects". This dataset contains the result files of the experiments conducted on PCL/PLA/HA filaments. It includes: result files from XRD, DSC, TGA, FTIR, and SEM analysis. It also includes the Excel documents created to study the data. It also includes files created in Origin for visualization. OPJ formats are usually opened with the software Origin. For users that do not have access to the software, a free version called “Origin viewer” is available online. With the viewer, the user can open and view the files. The XY formats can be opened in Excel with text import, or Legacy text import. The dataset was originally published in DiVA and moved to SND in 2024. Mon, 22 Aug 2022 00:00:00 GMT https://researchdata.se/en/catalogue/dataset/2024-377 https://researchdata.se/en/catalogue/dataset/2024-377 Uppsala University Elin Åkerlund Ana Grzeszczak Polymer linings used in sewer rehabilitation technologies are expected to cure fast in order for the renewed line to return to the service quickly and with minimum disruption. This dataset includes the original data obtained from the thermal analyses of a reinforced polyester composite used as pipe lining, including studying gelation, enthalpy and curing process for a better understanding of the material's curing behavior after application in the field. The dataset was originally published in DiVA and moved to SND in 2024. Wed, 07 Aug 2019 00:00:00 GMT https://researchdata.se/en/catalogue/dataset/2024-271 https://researchdata.se/en/catalogue/dataset/2024-271 Royal Institute of Technology Parastou Kharazmi The table is a result from cyclic strain test with 25 % and 50 % elongations of screen-printed stretchable conductive tracks on thermoplastic polyurethane. The dataset was originally published in DiVA and moved to SND in 2024. Thu, 23 May 2019 00:00:00 GMT https://researchdata.se/en/catalogue/dataset/2024-267 https://researchdata.se/en/catalogue/dataset/2024-267 Mid Sweden University Jawad Ahmad This data article contains the dynamic mechanical thermal analysis (DMTA) results for sheets made from cellulose fibers partially converted to dialcohol cellulose. The DMTA tests were conducted at four different relative humidity levels: 0, 50, 60, and 70 % RH, and the temperature was swept between 10 and 113 °C. The DMTA results enable the understanding of the elastic, viscoelastic, and viscoplastic mechanical properties of this material at a wide range of temperature and relative humidity combinations. A description of the collected variables and the initial specimen geometry can be found on the sheet "Readme". A graphical summary of the DMA results is provided on the following sheet named "SummaryGraphs". The raw data for the four runs can be found on the four final sheets. The dataset was originally published in DiVA and moved to SND in 2024. Sat, 17 Jun 2017 00:00:00 GMT https://researchdata.se/en/catalogue/dataset/2024-200 https://researchdata.se/en/catalogue/dataset/2024-200 Royal Institute of Technology Eric Linvill