Sherif, Mohamed Ahmed, et al. “IngridKG: A FAIR Knowledge Graph of Graffiti.”10.1038/s41597-023-02199-8__Scientific Data, vol. 10, no. 1, 318, Springer Science and Business Media LLC, 2023, doi:10.1038/s41597-023-02199-8.
LibreCat: /record/45484
DOI: 10.1038/s41597-023-02199-8

PODWORNY, SUSANNE, et al. “A PLACE FOR A DATA SCIENCE PROJECT IN SCHOOL: BETWEEN STATISTICS AND EPISTEMIC PROGRAMMING.”10.52041/serj.v21i2.46__STATISTICS EDUCATION RESEARCH JOURNAL, vol. 21, no. 2, 6, International Association for Statistical Education, 2022, doi:10.52041/serj.v21i2.46.
LibreCat: /record/32335
DOI: 10.52041/serj.v21i2.46

Bloh, Thiemo. “Rekonstruktive Evaluationsforschung im Kontext praxeologischer Kompetenzdiskurse. Kritische Reflexionen und konzeptionelle Überlegungen zur Dokumentarischen Evaluationsforschung.”10.31244/zfe.2022.02.02__Zeitschrift für Evaluation, vol. 2022, no. 02, Waxmann, 2022, pp. 193–215, doi:10.31244/zfe.2022.02.02.
LibreCat: /record/34200
DOI: 10.31244/zfe.2022.02.02

PODWORNY, SUSANNE, et al. “A PLACE FOR A DATA SCIENCE PROJECT IN SCHOOL: BETWEEN STATISTICS AND EPISTEMIC PROGRAMMING.”10.52041/serj.v21i2.46__STATISTICS EDUCATION RESEARCH JOURNAL, vol. 21, no. 2, 6, International Association for Statistical Education, 2022, doi:10.52041/serj.v21i2.46.
LibreCat: /record/48108
DOI: 10.52041/serj.v21i2.46

Feng, Yuanhua, et al. “The Smoots Package in R for Semiparametric Modeling of Trend Stationary Time Series.”10.32614/rj-2022-017__The R Journal, vol. 14, no. 1, The R Foundation, 2022, pp. 182–95, doi:10.32614/rj-2022-017.
LibreCat: /record/50025
DOI: 10.32614/rj-2022-017

Feng, Yuanhua, et al. “The Smoots Package in R for Semiparametric Modeling of Trend Stationary Time Series.”10.32614/rj-2022-017__The R Journal, vol. 14, no. 1, The R Foundation, 2022, pp. 182–95, doi:10.32614/rj-2022-017.
LibreCat: /record/33666
DOI: 10.32614/rj-2022-017

Biehler, Rolf, et al. “Editorial: Research on Data Science Education.”10.52041/serj.v21i2.606__Statistics Education Research Journal, vol. 21, no. 2, 1, International Association for Statistical Education, 2022, doi:10.52041/serj.v21i2.606.
LibreCat: /record/34920
DOI: 10.52041/serj.v21i2.606

Fleischer, Yannik, et al. “Teaching and Learning Data-Driven Machine Learning with Educationally Designed Jupyter Notebooks.”10.52041/serj.v21i2.61__Statistics Education Research Journal, vol. 21, no. 2, 7, International Association for Statistical Education, 2022, doi:10.52041/serj.v21i2.61.
LibreCat: /record/35672
DOI: 10.52041/serj.v21i2.61

Dabelow, Lennart, et al. “How Irreversible Are Steady-State Trajectories of a Trapped Active Particle?”10.1088/1742-5468/abe6fd__Journal of Statistical Mechanics: Theory and Experiment, vol. 2021, no. 3, 033216, IOP Publishing, 2021, doi:10.1088/1742-5468/abe6fd.
LibreCat: /record/32243
DOI: 10.1088/1742-5468/abe6fd

Kessler, Jan, et al. “Artificial Neural Networks as Trial Wave Functions for Quantum Monte Carlo.”10.1002/adts.202000269__Advanced Theory and Simulations, vol. 4, no. 4, 2000269, Wiley, 2021, doi:10.1002/adts.202000269.
LibreCat: /record/33649
DOI: 10.1002/adts.202000269

Frischemeier, Daniel, et al. “A First Introduction to Data Science Education in Secondary Schools: Teaching and Learning about Data Exploration with &;scp&;CODAP&;/Scp&; Using Survey Data.”10.1111/test.12283__Teaching Statistics, vol. 43, no. , Wiley, 2021, doi:10.1111/test.12283.
LibreCat: /record/48109
DOI: 10.1111/test.12283

Biehler, Rolf, and Yannik Fleischer. “Introducing Students to Machine Learning with Decision Trees Using CODAP and Jupyter Notebooks.”10.1111/test.12279__Teaching Statistics, vol. 43, Wiley, 2021, pp. 3–42, doi:10.1111/test.12279.
LibreCat: /record/35737
DOI: 10.1111/test.12279

Frischemeier, Daniel, et al. “A First Introduction to Data Science Education in Secondary Schools: Teaching and Learning about Data Exploration With&;scp&;CODAP&;/Scp&;using Survey Data.”10.1111/test.12283__Teaching Statistics, vol. 43, no. , Wiley, 2021, pp. 82–89, doi:10.1111/test.12283.
LibreCat: /record/35751
DOI: 10.1111/test.12283

Duman, Papatya. “Does Informational Equivalence Preserve Strategic Behavior? Experimental Results on Trockel’s Model of Selten’s Chain Store Story.”10.3390/g11010009__Games, vol. 11, no. 1, 9, MDPI AG, 2020, doi:10.3390/g11010009.
LibreCat: /record/45561
DOI: 10.3390/g11010009

Kitzerow, Heinz-Siegfried, et al. “Strain-Induced Anchoring Transitions.”10.1016/0378-4371(91)90423-a__Physica A: Statistical Mechanics and Its Applications, vol. 174, no. 1, Elsevier BV, 1991, pp. 163–94, doi:10.1016/0378-4371(91)90423-a.
LibreCat: /record/40334
DOI: 10.1016/0378-4371(91)90423-a

Lasser, R., and Margit Rösler. “Linear Mean Estimation of Weakly Stationary Stochastic Processes under the Aspects of Optimality and Asymptotic Optimality.”10.1016/0304-4149(91)90095-t__Stochastic Processes and Their Applications, vol. 38, no. 2, Elsevier BV, 1991, pp. 279–93, doi:10.1016/0304-4149(91)90095-t.
LibreCat: /record/40218
DOI: 10.1016/0304-4149(91)90095-t