Cloud Seeding Activities in the United States (2000–2025)

This dataset contains 834 records of cloud seeding activities reported to NOAA in the United States between 2000 and 2025. Each record includes the following fields: year, season, state, seeding agent, deployment apparatus, and the stated purpose of the cloud seeding operation. The dataset was constructed using a multi-stage PDF-to-text extraction pipeline combining PyMuPDF, pytesseract, and Unstract's LLM Whisperer. Extracted text was parsed and structured using OpenAI’s o4-mini language model, which inferred the relevant data fields from semi-structured report content. To assess data quality, we manually reviewed a random sample of 200 records (n = 200). The dataset achieved 94.72% average accuracy across all six fields.本数据集收录了2000年至2025年间上报至美国国家海洋和大气管理局（National Oceanic and Atmospheric Administration, NOAA）的834条云催化（cloud seeding）作业记录。每条记录包含如下字段：年份、作业季节、作业所在州、播撒剂、播撒装置，以及云催化作业的既定目的。 本数据集采用结合PyMuPDF、pytesseract与Unstract的LLM Whisperer的多阶段PDF转文本提取流程构建而成。提取得到的文本通过OpenAI的o4-mini大语言模型进行解析与结构化处理，该模型可从半结构化的报告内容中推断出对应的数据字段。 为评估数据集质量，研究团队人工审阅了200条随机抽取的记录（样本量n=200）。该数据集在全部六个字段上的平均准确率达到94.72%。