Abstract The TENDL library is now established as one of the major nuclear data libraries in the world, striving for completeness and quality of nuclear data files for all isotopes, evaluation methods, processing and applied performance. To reach this status, some basic principles have been applied which sets it apart from other libraries: reproducible dedicated evaluations when differential data are available, through determination of nuclear models implemented in TALYS and their parameters, completeness (with or without experimental data), format and processing standardization, automation of production and reproducibility. In this paper, we will outline how such an approach has become a reality, and recall some of the past successes since the first TENDL release in 2008. Next, we will demonstrate the performance of the latest TENDL releases for different application fields, as well as new approaches for uncertainty quantification based on Bayesian inference methods and possible differential and integral adjustments. Also, current limitations of the library performances due to modelling and needs for new and more precise experimental data will be outlined.

中文翻译：

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TENDL：创新核科学技术的完整核数据库

摘要 TENDL库现已成为世界上主要的核数据库之一，致力于所有同位素、评价方法、处理和应用性能的核数据文件的完整性和质量。为了达到这种状态，已经应用了一些基本原则，使其与其他库区分开来：当差异数据可用时，通过确定在 TALYS 中实施的核模型及其参数、完整性（有或没有实验数据）、格式和加工标准化、生产自动化和再现性。在本文中，我们将概述这种方法如何成为现实，并回顾自 2008 年首次发布 TENDL 以来过去的一些成功。接下来，我们将展示针对不同应用领域的最新 TENDL 版本的性能，以及基于贝叶斯推理方法和可能的微分和积分调整的不确定性量化新方法。此外，将概述由于建模和需要新的和更精确的实验数据而导致的库性能的当前限制。