cff-version: 1.2.0
abstract: "<p>Data underlying the research of Machine learning approach for pitch type classification based on pelvis and trunk kinematics captured with wearable sensors.</p><p><br></p><p>Data set contains kinematics, ball velocity, pitcher's characteristics and pitch types from youth pitchers that are members of the elite youth academies of the Royal Dutch Baseball and Softball Federation (KNBSB).</p>"
authors:
  - family-names: Gomaz
    given-names: Larisa
    orcid: "https://orcid.org/0000-0002-1282-984X"
  - family-names: van der Graaff
    given-names: Erik
title: "Kinematic data from youth baseball pitchers recorded with PITCHPERFECT motion sensors"
keywords:
version: 1
identifiers:
  - type: doi
    value: 10.4121/f86ba220-08a1-4fa0-89a9-d8995790675b.v1
license: CC BY 4.0
date-released: 2023-11-06