Dataset Open Access
Lünser, Klara; Neumann, Bruno; Schmidt, Daniel; Ge, Yuru; Hensel, Daniel; Khosla, Mallika; Gaal, Peter; Fähler, Sebastian
{ "identifier": "https://doi.org/10.14278/rodare.2995", "keywords": [ "NiTi", "shape memory alloy", "speed limit", "dynamics of martensitic transformation" ], "creator": [ { "@type": "Person", "affiliation": "HZDR", "@id": "https://orcid.org/0000-0003-3309-7948", "name": "L\u00fcnser, Klara" }, { "@type": "Person", "affiliation": "HZDR", "name": "Neumann, Bruno" }, { "@type": "Person", "affiliation": "Leibniz IKZ", "name": "Schmidt, Daniel" }, { "@type": "Person", "affiliation": "HZDR", "@id": "https://orcid.org/0000-0002-3977-2505", "name": "Ge, Yuru" }, { "@type": "Person", "affiliation": "Leibniz IKZ", "name": "Hensel, Daniel" }, { "@type": "Person", "affiliation": "Leibniz IKZ", "@id": "https://orcid.org/0000-0002-3097-2383", "name": "Khosla, Mallika" }, { "@type": "Person", "affiliation": "Leibniz IKZ", "@id": "https://orcid.org/0000-0002-5429-0045", "name": "Gaal, Peter" }, { "@type": "Person", "affiliation": "HZDR", "@id": "https://orcid.org/0000-0001-9450-4952", "name": "F\u00e4hler, Sebastian" } ], "url": "https://rodare.hzdr.de/record/2995", "license": "https://creativecommons.org/licenses/by/4.0/legalcode", "sameAs": [ "https://www.hzdr.de/publications/Publ-39177" ], "description": "<p>This dataset belongs to the paper "Transforming martensite in NiTi within nanoseconds" and contains all raw data used for the paper. It includes raw data of reciprocal space maps taken at P23 Petra III DESY Synchrotron. It also contains the Python code used to analyze the raw data and the martensite intensities extracted from the raw data. Information about sample, measurement techniques and further data description can be found in README.txt.</p>", "name": "Data and Code: Transforming martensite in NiTi within nanoseconds", "distribution": [ { "@type": "DataDownload", "fileFormat": "zip", "contentUrl": "https://rodare.hzdr.de/api/files/db02b7da-7cd3-4e89-90d3-d2a4e182222e/raw_data.zip" } ], "@type": "Dataset", "datePublished": "2024-06-04", "@id": "https://doi.org/10.14278/rodare.2995", "@context": "https://schema.org/" }
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Data volume | 7.1 GB | 7.1 GB |
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Unique downloads | 9 | 9 |