TY - GEN A1 - Bauer, R. A1 - Pham, M. A1 - Becker, T. A1 - Melzer, Michael A1 - Pelkner, Matthias A1 - Böhle, B. A1 - op den Winkel, F. A1 - Kliche, K. A1 - Welker, F. A1 - Becker, P. A1 - Pfeffer, A. A1 - Gerber, J. A1 - Holzhey, R. A1 - Wenzel, B. A1 - Slatter, R. A1 - Grönefeld, M. A1 - Nasaruk, M. A1 - Buß, R. A1 - Hille, P. A1 - Bartos, A. A1 - Schreiner, I. T1 - Anforderungen an die technische Darstellung von magnetischen Maßverkörperungen in Konstruktionszeichnungen N2 - Dieses Dokument legt Anforderungen an die technische Darstellung von Geometrie und magnetischen Eigenschaften in Konstruktionszeichnungen von magnetischen Maßverkörperungen fest und definiert die dazu notwendige Terminologie. KW - Magnetische Maßverkörperungen KW - Konstruktionszeichnungen KW - Terminologie KW - Magnetische Messsysteme PY - 2022 DO - https://doi.org/10.31030/3359425 IS - DIN SPEC 91411:2022-08 SP - 1 EP - 48 PB - Beuth CY - Berlin AN - OPUS4-56631 LA - deu AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - INPR A1 - Baloh, P. A1 - Bauer, L. A1 - Bendová, A. A1 - Čermák, P. A1 - Fellner, K. A1 - Ghanathe, M. A1 - Hernández Alvarez, O. E. A1 - Hricov, Š. A1 - Jochum, J. K. A1 - Kotvytska, L. A1 - Kumar, S. A1 - Labh, A. A1 - Machovec, P. A1 - Pauw, Brian Richard A1 - Ramszová, K. A1 - Walz, E. A1 - Wild, P. T1 - An exercise in open data: Triple axis data on Si single crystal N2 - Efforts are rising in opening up science by making data more transparent and more easily available, including the data reduction and evaluation procedures and code. A strong foundation for this is the F.A.I.R. principle, building on Findability, Accessibility, Interoperability, and Reuse of digital assets, complemented by the letter T for trustworthyness of the data. Here, we have used data, which was made available by the Institute Laue-Langevin and can be identified using a DOI, to follow the F.A.I.R.+T. principle in extracting, evaluating and publishing triple axis data, recorded at IN3. KW - Open data KW - Neutron diffraction KW - Analysis KW - Open science PY - 2022 UR - https://nbn-resolving.org/urn:nbn:de:kobv:b43-562257 DO - https://doi.org/10.48550/arXiv.2010.12086 SN - 2331-8422 SP - 1 EP - 4 PB - Cornell University CY - Ithaca, NY AN - OPUS4-56225 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Bauer, J. A1 - Miclea, P.-T. A1 - Braun, U. A1 - Altmann, Korinna A1 - Turek, M. A1 - Hagendorf, C. T1 - Microplastic detection and analysis in water samples N2 - Microplastic detection in water samples becomes important for tracing microplastic sources. Microplastic may harm desalination facilities by blocking filters and disturbing the marine food chain. Thermo analytical methods such as pyrolysis gas chromatography mass spectroscopy, and spectroscopic methods like (micro) Raman spectroscopy or (micro) Fouriertransform infrared spectroscopy in combination with appropriate filters and sample preparation are suitable for analyzing microplastics on a scale from 1 µm to 1000 µm fast and unambiguous. While the thermo analytical methods are suitable for larger sample volumes, Raman spectroscopy and Fouriertransform infrared spectroscopy are able to detect and analyze single microplastic particles for instance in bottled water. Machine learning algorithms ensure a reliable classification of different plastic materials. T2 - International Conference on Sustainable Energy-Water-Environment Nexus in Desert Climate 2019 CY - Ar-Rayyan, Qatar DA - 02.12.2019 KW - Microplastics KW - Water samples PY - 2022 SP - 111 EP - 113 PB - Springer AN - OPUS4-56240 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER -