The study aims to highlight the growth and development of Indo-German collaborative research over the past three decades. Moreover, this study encompasses an in-depth examination of funding acknowledgements to gain valuable insights into the financial support that underpins these collaborative endeavors. Together with this paper, we provide an openly accessible dataset of Indo-German research articles for further and reproducible research activities (the "Indo-German Literature Dataset"). The data were retrieved from the Web of Science (WoS) database from the year 1990 till the 30th of November 2022. A total of 36,999 records were retrieved against the employed query. Acknowledged entities were extracted using a NER model specifically trained for this task. Interrelations between the extracted entities and scientific domains, lengths of acknowledgement texts, number of authors and affiliations, number of citations, and gender of the first author, as well as collaboration patterns between Indian and German funders were examined. The study brings to light that Physics, Chemistry, Materials Science, Astronomy and Astrophysics, and Engineering prominently dominate the Indo-German collaborative research. The United States, followed by England and France, are the most active collaborators in Indian and German research. Additionally, relations between entity, entity type, and scientific domain, were discovered. The study highlights a deeper understanding of the composition of the Indo-German collaborative research landscape of the last 30 years and its significance in advancing scientific knowledge and fostering international partnerships. Furthermore, we provide an open version of the original WoS dataset. The Indo-German Literature Dataset consists of 22,844 articles from OpenAlex and is available for related studies like literature studies and Scientometrics.

翻译：本研究旨在突出过去三十年间印德合作研究的增长与发展。此外，本研究深入考察了基金致谢部分，以获取支撑这些合作努力的资金支持的重要见解。同时，我们提供了一个公开可访问的印德研究论文数据集（"印德文献数据集"），用于进一步和可重复的研究活动。数据检索自Web of Science (WoS) 数据库，时间跨度为1990年至2022年11月30日。根据所使用的查询条件，共检索到36,999条记录。使用专门为此任务训练的NER模型提取被致谢的实体。研究了所提取实体与科学领域、致谢文本长度、作者数量和隶属机构数量、引用次数、第一作者性别以及印德资助者之间的合作模式之间的关系。研究发现，物理学、化学、材料科学、天文学与天体物理学以及工程学在印德合作研究中占据主导地位。美国、其次是英国和法国，是印德研究中最活跃的合作者。此外，还发现了实体、实体类型与科学领域之间的关系。本研究加深了对过去30年印德合作研究格局的构成及其在推动科学知识和促进国际伙伴关系方面重要意义的理解。此外，我们提供了原始WoS数据集的开放版本。印德文献数据集包含来自OpenAlex的22,844篇论文，可供文献研究和科学计量学等相关研究使用。