A written record of any changes made to the data during the curation process and by whom. File is often preserved as part of the overall record.
Dataset citation “Methods-2023 Lysine Pulse Programs – pulse programs and parameter sets for acquisition of the NMR data described in this paper” available from Penn State Scholarsphere at https://scholarsphere.psu.edu/resources/6be26730-4aa8-4c3f-b2bb-cc7ea25ed0ed
Dataset citation “Machine-learning Approach to Detecting and Analyzing Meteor Echoes (MADAME)” available from Penn State Scholarsphere at https://scholarsphere.psu.edu/resources/d3ae6356-4c9b-48b0-9159-4a1361026d37
Dataset citation “Data for “Gaming self-consistent field theory: Generative block polymer phase discovery”” available from the Data Repository for the University of Minnesota at https://doi.org/10.13020/qv23-pp07
Dataset citation “Data for Grain Growth in Olivine + Ferropericlase Rocks Deformed to High Strains” available from the Data Repository for the University of Minnesota at https://doi.org/10.13020/ej3r-m032
Dataset citation “Dataset: Ocean-bottom P and S arrival waveform dataset from the Alaska Amphibious Community Seismic Experiment, 2018-19″ available from Cornell University at https://doi.org/10.7298/01da-ka24
Dataset citation “Supporting data for Regiospecific and Linear Poly(ethylene-co-vinyl alcohol) via the Ring-Opening Metathesis Polymerization of 3-acetoxycyclooctene” available from the University of Minnesota at http://doi.org/10.13020/vb1d-5r77
Dataset citation “Data from: Liming and spring salamander abundance” available from Cornell University at https://doi.org/10.7298/0e1s-mm78
Dataset citation “Experimental data of log jam-induced hyporheic flow experiment in Ecoflume of St. Anthony Falls Laboratory on 2022″ available from the University of Minnesota at https://doi.org/10.13020/57f0-r060
Dataset citation “Reflectance spectra and related water quality and color data from 325 Minnesota and Wisconsin lakes and rivers” available from the University of Minnesota at https://doi.org/10.13020/1c2h-te39
Dataset citation “Data for “Mining the manifolds of deep generative models for multiple data-consistent solutions of ill-posed tomographic imaging problems”” available from the University of Illinois at https://doi.org/10.13012/B2IDB-8852490_V1