The extension of spatial and temporal coverage of digital daily maximum and minimum air temperature observations is indispensable for a greater understanding of past climate variability. Long‐term series are fundamental for the assessment of frequency, duration, intensity and geographical distribution of past extreme air temperature events at local and regional scales in Ireland. Raw daily observations from 12 long‐term and 21 short‐term maximum and minimum air temperature series in Ireland, extending from 1831 to 1968, were rescued from multiple archives. Detailed station metadata on instrumentation, site location, observation practices and observer's notes are included in the dataset. Over 970,000 daily maximum and minimum air temperature observations were transcribed from handwritten meteorological registers, publications, newspapers and the Daily Weather Report. The data rescue strategies, sources for data and metadata rescue, and methodologies for double keying are discussed. The Ireland Long‐term Maximum and Minimum Air Temperature dataset (ILMMT) format for daily air temperature and metadata and organization is reviewed. The ILMMT dataset comprises raw observations and detailed station metadata, so data users can apply their selected quality control and homogenization approaches.

中文翻译：

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重建爱尔兰（1831-1968）的长期历史每日最高和最低气温网络数据集

扩大数字每日最高和最低气温观测值的时空覆盖范围对于更好地了解过去的气候变化是必不可少的。长期序列是评估爱尔兰地方和区域尺度上过去极端气温事件发生的频率，持续时间，强度和地理分布的基础。从多个档案库中搜集了1831年至1968年爱尔兰12个长期和21个短期最高和最低气温序列的原始每日观测值。有关仪器，站点位置，观察实践和观察者注意事项的详细站点元数据包含在数据集中。每天从手写的气象记录簿，出版物中记录的每日最高和最低气温观测值超过970,000，每日天气报告。讨论了数据救援策略，数据和元数据救援的来源以及双键方法。审查了爱尔兰每日最高气温和最低气温的长期数据集（ILMMT）格式以及元数据和组织。ILMMT数据集包括原始观测值和详细的站点元数据，因此数据用户可以应用他们选择的质量控制和均质化方法。