Extended RAM Legacy Stock Assessment Database version 4.46

Extended RAM Legacy Stock Assessment Database version 4.46 Please be aware that this ‘mdl’ ('model fits included') version 4.46 of the RAM Legacy Stock Assessment Database (RAMLDB) additionally includes data not contained in the assessments themselves, but generated from assessment data. Generated data are used to fill in gaps where possible, for example, if stock assessments do not include reference point estimates. Supplemented data include calculations from assessment values, conversions of biomass variables, and reference points estimated post-hoc with surplus production models. The ‘Documents’ folder includes documentation files on the methods used for these calculations, conversions and model fitting. When assessment data are available, they are used preferentially in all cases.<br> <br> Although we identify data that were supplemented from data that were derived from stock assessments, some collector variables in RAMLDB include both of these data sources (with assessment values preferred). We recommend that the average user does not use this 'mdl' version of RAMLDB because of the additional assumptions and calculations involved. Instead, to avoid confusion between assessment-derived values and supplemented values, we recommend using the ‘asmt’ ('assessment data only') version of RAMLDB version 4.46. This 'asmt' version (10.5281/zenodo.3676083) is also available in our Zenodo repository: https://zenodo.org/communities/rlsadb/扩展版RAM传统资源评估数据库（Extended RAM Legacy Stock Assessment Database）版本4.46。请注意，此‘mdl’版（即包含模型拟合结果）的RAM传统资源评估数据库（RAM Legacy Stock Assessment Database, 下文简称RAMLDB）4.46版本额外纳入了并非直接来自资源评估报告、而是基于评估数据生成的补充数据。生成数据用于尽可能填补数据空白，例如当资源评估报告未提供参考点估算值时。补充数据涵盖基于评估值的计算结果、生物量变量转换结果，以及通过剩余产量模型事后估算得到的参考点。‘Documents’文件夹中包含了上述计算、变量转换及模型拟合方法的说明文档。若可获取原始评估数据，则所有场景下均优先采用原始评估数据。 尽管研究团队已对补充数据与资源评估衍生数据进行了区分，但RAMLDB中的部分采集变量同时包含两类数据源（评估值仍为优先选用项）。鉴于该‘mdl’版需引入额外假设与计算步骤，我们建议普通用户不要使用此版本。为避免评估衍生数据与补充数据之间产生混淆，我们建议使用RAMLDB 4.46的‘asmt’版（即仅包含评估数据版本）。此‘asmt’版（DOI: 10.5281/zenodo.3676083）亦可在我们的Zenodo仓储平台获取，链接为：https://zenodo.org/communities/rlsadb/