<?xml version="1.0" encoding="UTF-8"?><rdf:RDF xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:dcq="http://purl.org/dc/terms/"><records count="1" morepages="false" start="1" end="1"><record rownumber="1"><dc:product_type>Journal Article</dc:product_type><dc:title>A Dataset of Plausible Proton Transfer Steps for Arrow-Pushing Mechanisms</dc:title><dc:creator>Dashuta, Alexander E; Miller, Ryan J; Baldi, Pierre; Sander, Thomas; Van_Vranken, David L (ORCID:0000000159647042)</dc:creator><dc:corporate_author/><dc:editor/><dc:description>&lt;title&gt;Abstract&lt;/title&gt; &lt;p&gt;Proton transfers are fundamental steps in polar reaction mechanisms. We generated a large dataset of over 51 million kinetically plausible proton transfer steps between heteroatoms from about 8,000 acids and conjugate bases with experimental aqueous p&lt;italic&gt;K&lt;/italic&gt;&lt;sub&gt;a&lt;/sub&gt;s, spanning p&lt;italic&gt;K&lt;/italic&gt;&lt;sub&gt;a&lt;/sub&gt;values from −15 to +37. Rate factors were estimated at 25 °C using a simplified Eigen equation with p&lt;italic&gt;K&lt;/italic&gt;&lt;sub&gt;a&lt;/sub&gt;s but without statistical factors. Steps with estimated rate constants ≥ 10&lt;sup&gt;3&lt;/sup&gt;M&lt;sup&gt;−1&lt;/sup&gt;s&lt;sup&gt;−1&lt;/sup&gt;were included in the final dataset. Additionally, 5,043 proton transfer steps from carbon acids to heteroatom bases were estimated using the Eigen-Bernasconi equation based on reported intrinsic rate constants and Brønsted β values. Carbon proton transfers with rate constants ≥ 10&lt;sup&gt;3&lt;/sup&gt; M&lt;sup&gt;−1&lt;/sup&gt;s&lt;sup&gt;−1&lt;/sup&gt;were added to the final dataset. Each entry was encoded in SMIRKS format with electron-flow specification for machine learning compatibility. Diversity of structure was prioritized over diversity of conditions; calculated rate constants are expected to be accurate in aqueous environments. This approach and dataset should prove valuable for training models to predict stepwise mechanistic pathways.&lt;/p&gt;</dc:description><dc:publisher>Nature</dc:publisher><dc:date>2026-12-01</dc:date><dc:nsf_par_id>10670684</dc:nsf_par_id><dc:journal_name>Scientific Data</dc:journal_name><dc:journal_volume>13</dc:journal_volume><dc:journal_issue>1</dc:journal_issue><dc:page_range_or_elocation>172</dc:page_range_or_elocation><dc:issn>2052-4463</dc:issn><dc:isbn/><dc:doi>https://doi.org/10.1038/s41597-025-06490-8</dc:doi><dcq:identifierAwardId>1955811</dcq:identifierAwardId><dc:subject/><dc:version_number/><dc:location/><dc:rights/><dc:institution/><dc:sponsoring_org>National Science Foundation</dc:sponsoring_org></record></records></rdf:RDF>