Grade and tonnage data for lithium, cesium, and rubidium pegmatite deposits

Pegmatites are a major host of global lithium, cesium, and rubidium resources. However, the existing grade and tonnage dataset for lithium pegmatites that was published in 1992 does not represent the current industry parameters used to delineate resources. There are no existing grade and tonnage datasets for cesium and rubidium. We present grade and tonnage data for lithium, cesium, and rubidium mineral resources related to pegmatite deposits. This compilation does not include pegmatite deposits with primary tin or tantalum resources, but we do report tin and tantalum concentrations for lithium-dominated deposits where available.

Over 100 potential pegmatite resources were evaluated; however, final selection was limited to resources that were sufficiently delineated in 3-dimensions to define the in-situ resource. The dataset is not an exhaustive list of known pegmatite prospects and deposits but instead aims to capture the current global distribution of in-situ grade and tonnage. The dataset includes two lithium pegmatite deposits in the United States, both in North Carolina. Other known domestic lithium pegmatite resources exist but were excluded because they lack industry-compliant resource estimates.

These data can be used for lithium, cesium, and/or rubidium mineral resource assessments or supply chain studies. The global lithium pegmatite dataset is sufficiently large for quantitative mineral resource assessments, depending on underlying assumptions of the assessment. We include a separate comma-delimited text file of lithium pegmatite deposits that is pre-formatted as input for probabilistic simulations of undiscovered deposits in the R-based software package MapMark4. Note that MapMark4 users should evaluate the lithium deposit dataset closely to verify the dataset agrees with the deposit type for which they have estimated undiscovered deposits. While an effort was made to isolate lithium-dominated resources for ease of MapMark4 input, note that some deposits have multiple commodities whereas others are solely lithium resources. These factors should be considered, and references for relevant records evaluated, prior to fitting grade and tonnage models. The three-digit ID field can be used as a primary key to link records from the main compilation to the MapMark4-ready dataset.

伟晶岩是全球锂、铯、铷资源的重要赋矿载体。然而，1992年发布的现有锂伟晶岩品位与吨位数据集，已无法反映当前用于资源圈定的行业参数标准。目前尚无针对铯、铷的品位与吨位数据集。本数据集收录了与伟晶岩矿床相关的锂、铯、铷矿产资源的品位与吨位数据。本次汇编未纳入以锡或钽为主要矿产的伟晶岩矿床，但针对以锂为主的矿床，若有相关数据则会报告其锡、钽品位。

本次研究共评估了100余处潜在伟晶岩资源，但最终入选的仅为那些经三维圈定可明确原位资源量的矿床。本数据集并非已知伟晶岩矿点与矿床的完整名录，而是旨在呈现当前全球原位资源品位与吨位的分布情况。数据集包含美国北卡罗来纳州的两处锂伟晶岩矿床。美国境内另有已知的锂伟晶岩资源，但因缺乏符合行业规范的资源量估算结果而未被纳入。

本数据集可用于锂、铯和/或铷的矿产资源评价或供应链研究。基于评价的前提假设不同，本次全球锂伟晶岩数据集的规模足以支撑定量矿产资源评价工作。我们额外提供了一份以逗号分隔的文本文件，其中的锂伟晶岩矿床数据已预先格式化，可直接作为基于R语言的MapMark4软件中未发现矿床概率模拟的输入文件。请注意，MapMark4用户需仔细核查该锂矿床数据集，确保其与待估算未发现矿床的矿床类型相匹配。尽管我们已尽量筛选出以锂为主的资源以适配MapMark4的输入要求，但需注意部分矿床兼具多种矿产，而部分则仅含锂资源。在构建品位与吨位模型前，需综合考量上述因素，并核查相关记录的参考文献。数据集中的三位ID字段可作为主键，用于关联主汇编数据集与适配MapMark4的数据集。