[{"date_updated":"2026-03-11T10:25:23Z","publisher":"LibreCat University","author":[{"full_name":"Schütte, Jan","id":"22109","last_name":"Schütte","orcid":"0000-0001-9025-9742","first_name":"Jan"}],"date_created":"2026-03-11T10:22:01Z","title":"Experimental Dataset: Force and Displacement Measurements of Four Rubber-Metal Bushing Types from a Passenger Car under Harmonic Displacement Excitation","doi":"10.5281/ZENODO.14851317","year":"2025","citation":{"short":"J. Schütte, Experimental Dataset: Force and Displacement Measurements of Four Rubber-Metal Bushing Types from a Passenger Car under Harmonic Displacement Excitation, LibreCat University, 2025.","bibtex":"@book{Schütte_2025, title={Experimental Dataset: Force and Displacement Measurements of Four Rubber-Metal Bushing Types from a Passenger Car under Harmonic Displacement Excitation}, DOI={<a href=\"https://doi.org/10.5281/ZENODO.14851317\">10.5281/ZENODO.14851317</a>}, publisher={LibreCat University}, author={Schütte, Jan}, year={2025} }","mla":"Schütte, Jan. <i>Experimental Dataset: Force and Displacement Measurements of Four Rubber-Metal Bushing Types from a Passenger Car under Harmonic Displacement Excitation</i>. LibreCat University, 2025, doi:<a href=\"https://doi.org/10.5281/ZENODO.14851317\">10.5281/ZENODO.14851317</a>.","apa":"Schütte, J. (2025). <i>Experimental Dataset: Force and Displacement Measurements of Four Rubber-Metal Bushing Types from a Passenger Car under Harmonic Displacement Excitation</i>. LibreCat University. <a href=\"https://doi.org/10.5281/ZENODO.14851317\">https://doi.org/10.5281/ZENODO.14851317</a>","ama":"Schütte J. <i>Experimental Dataset: Force and Displacement Measurements of Four Rubber-Metal Bushing Types from a Passenger Car under Harmonic Displacement Excitation</i>. LibreCat University; 2025. doi:<a href=\"https://doi.org/10.5281/ZENODO.14851317\">10.5281/ZENODO.14851317</a>","ieee":"J. Schütte, <i>Experimental Dataset: Force and Displacement Measurements of Four Rubber-Metal Bushing Types from a Passenger Car under Harmonic Displacement Excitation</i>. LibreCat University, 2025.","chicago":"Schütte, Jan. <i>Experimental Dataset: Force and Displacement Measurements of Four Rubber-Metal Bushing Types from a Passenger Car under Harmonic Displacement Excitation</i>. LibreCat University, 2025. <a href=\"https://doi.org/10.5281/ZENODO.14851317\">https://doi.org/10.5281/ZENODO.14851317</a>."},"_id":"64894","department":[{"_id":"151"}],"user_id":"22109","keyword":["bushing","experimental data","rubber-metal-bushing","Dataset suspension"],"type":"research_data","abstract":[{"text":"This dataset contains experimental measurements of the radial dynamic and quasi-static characteristics of four different types of Rubber-Metal Bushings (RMBs) used in the suspension system of a passenger car under harmonic displacement excitation. For each bushing type, 2–3 individual specimens were tested.\r\n \r\nQuasi-static measurements were performed at a constant excitation frequency of 0.05 Hz with varying displacement amplitudes. Dynamic measurements were conducted with displacement amplitudes ranging from 0.04 mm to 0.3 mm and excitation frequencies of 2, 5, 10, ..., up to 100 Hz.\r\n\r\nThe data is structured by bushing type, measurement mode, amplitude, and frequency, and is provided in *.csv  and *.hrm format. It is intended to support further research in modeling rubber-metal bushings and parameter identification techniques.","lang":"eng"}],"status":"public"},{"_id":"56581","user_id":"71039","keyword":["entity linking benchmark dataset","Indonesian","general and specific domains"],"language":[{"iso":"eng"}],"type":"book_chapter","publication":"Lecture Notes in Computer Science","abstract":[{"text":"In recent years, there has been a surge in natural language processing research focused on low-resource languages (LrLs), underscoring the growing recognition that LrLs deserve the same attention as high-resource languages (HrLs). This shift is crucial for ensuring linguistic diversity and inclusivity in the digital age. Despite Indonesian ranking as the 11th most spoken language globally, it remains under-resourced in terms of computational tools and datasets. Within the semantic web domain, Entity Linking (EL) is pivotal, linking textual entity mentions to their corresponding entries in knowledge bases. This process is foundational for advanced information extraction tasks, including relation extraction and event detection. To bolster EL research in Indonesian, we introduce IndEL, the first benchmark dataset tailored for both general and specific domains. IndEL was manually curated using Wikidata, adhering to a rigorous set of annotation guidelines. We used two Named Entity Recognition (NER) benchmark datasets for entity extraction: NER UI for the general domain and IndQNER for the specific domain. IndQNER focused on entities from the Indonesian translation of the Quran. IndEL comprises 4765 entities in the general domain and 2453 in the specific domain. Using the GERBIL framework, we use IndEL to evaluate the performance of various EL systems, such as Babelfy, DBpedia Spotlight, MAG, OpenTapioca, and WAT. Our further investigation reveals that within Wikidata, a significant number of NIL entities remain unlinked due to the limited number of Indonesian labels and the use of acronyms. Especially in the specific domain, transliteration and translation processes performed to create the Indonesian translation of the Quran contribute to the presence of entities in a descriptive form and as synonyms.","lang":"eng"}],"status":"public","publisher":"Springer Nature Switzerland","date_updated":"2024-10-14T19:22:16Z","author":[{"first_name":"Ria Hari","full_name":"Gusmita, Ria Hari","id":"71039","last_name":"Gusmita"},{"last_name":"Abshar","full_name":"Abshar, Muhammad Faruq Amiral","first_name":"Muhammad Faruq Amiral"},{"first_name":"Diego","last_name":"Moussallem","full_name":"Moussallem, Diego","id":"71635"},{"id":"65716","full_name":"Ngonga Ngomo, Axel-Cyrille","last_name":"Ngonga Ngomo","first_name":"Axel-Cyrille"}],"date_created":"2024-10-10T14:29:08Z","title":"IndEL: Indonesian Entity Linking Benchmark Dataset for General and Specific Domains","conference":{"location":"Turin, Italy","end_date":"2024-06-27","start_date":"2024-06-25","name":"The 29th Annual International Conference on Natural Language & Information Systems (NLDB 2024)"},"doi":"10.1007/978-3-031-70239-6_34","publication_status":"published","publication_identifier":{"issn":["0302-9743","1611-3349"],"isbn":["9783031702389","9783031702396"]},"related_material":{"link":[{"relation":"confirmation","url":"https://link.springer.com/chapter/10.1007/978-3-031-70239-6_34"}]},"year":"2024","place":"Cham","citation":{"chicago":"Gusmita, Ria Hari, Muhammad Faruq Amiral Abshar, Diego Moussallem, and Axel-Cyrille Ngonga Ngomo. “IndEL: Indonesian Entity Linking Benchmark Dataset for General and Specific Domains.” In <i>Lecture Notes in Computer Science</i>. Cham: Springer Nature Switzerland, 2024. <a href=\"https://doi.org/10.1007/978-3-031-70239-6_34\">https://doi.org/10.1007/978-3-031-70239-6_34</a>.","ieee":"R. H. Gusmita, M. F. A. Abshar, D. Moussallem, and A.-C. Ngonga Ngomo, “IndEL: Indonesian Entity Linking Benchmark Dataset for General and Specific Domains,” in <i>Lecture Notes in Computer Science</i>, Cham: Springer Nature Switzerland, 2024.","ama":"Gusmita RH, Abshar MFA, Moussallem D, Ngonga Ngomo A-C. IndEL: Indonesian Entity Linking Benchmark Dataset for General and Specific Domains. In: <i>Lecture Notes in Computer Science</i>. Springer Nature Switzerland; 2024. doi:<a href=\"https://doi.org/10.1007/978-3-031-70239-6_34\">10.1007/978-3-031-70239-6_34</a>","short":"R.H. Gusmita, M.F.A. Abshar, D. Moussallem, A.-C. Ngonga Ngomo, in: Lecture Notes in Computer Science, Springer Nature Switzerland, Cham, 2024.","mla":"Gusmita, Ria Hari, et al. “IndEL: Indonesian Entity Linking Benchmark Dataset for General and Specific Domains.” <i>Lecture Notes in Computer Science</i>, Springer Nature Switzerland, 2024, doi:<a href=\"https://doi.org/10.1007/978-3-031-70239-6_34\">10.1007/978-3-031-70239-6_34</a>.","bibtex":"@inbook{Gusmita_Abshar_Moussallem_Ngonga Ngomo_2024, place={Cham}, title={IndEL: Indonesian Entity Linking Benchmark Dataset for General and Specific Domains}, DOI={<a href=\"https://doi.org/10.1007/978-3-031-70239-6_34\">10.1007/978-3-031-70239-6_34</a>}, booktitle={Lecture Notes in Computer Science}, publisher={Springer Nature Switzerland}, author={Gusmita, Ria Hari and Abshar, Muhammad Faruq Amiral and Moussallem, Diego and Ngonga Ngomo, Axel-Cyrille}, year={2024} }","apa":"Gusmita, R. H., Abshar, M. F. A., Moussallem, D., &#38; Ngonga Ngomo, A.-C. (2024). IndEL: Indonesian Entity Linking Benchmark Dataset for General and Specific Domains. In <i>Lecture Notes in Computer Science</i>. The 29th Annual International Conference on Natural Language &#38; Information Systems (NLDB 2024), Turin, Italy. Springer Nature Switzerland. <a href=\"https://doi.org/10.1007/978-3-031-70239-6_34\">https://doi.org/10.1007/978-3-031-70239-6_34</a>"}},{"author":[{"first_name":"Lisa","full_name":"Rosendahl, Lisa","last_name":"Rosendahl"}],"date_created":"2024-08-28T11:43:11Z","publisher":"Zenodo","date_updated":"2024-08-28T14:09:28Z","doi":"10.5281/ZENODO.7875059","title":"Beethoven in the House: Selective Encodings of Arrangements of Beethoven’s opp. 91, 92, and 93.","citation":{"ieee":"L. Rosendahl, <i>Beethoven in the House: Selective Encodings of Arrangements of Beethoven’s opp. 91, 92, and 93.</i> Zenodo, 2023.","chicago":"Rosendahl, Lisa. <i>Beethoven in the House: Selective Encodings of Arrangements of Beethoven’s Opp. 91, 92, and 93.</i> Zenodo, 2023. <a href=\"https://doi.org/10.5281/ZENODO.7875059\">https://doi.org/10.5281/ZENODO.7875059</a>.","ama":"Rosendahl L. <i>Beethoven in the House: Selective Encodings of Arrangements of Beethoven’s Opp. 91, 92, and 93.</i> Zenodo; 2023. doi:<a href=\"https://doi.org/10.5281/ZENODO.7875059\">10.5281/ZENODO.7875059</a>","mla":"Rosendahl, Lisa. <i>Beethoven in the House: Selective Encodings of Arrangements of Beethoven’s Opp. 91, 92, and 93.</i> Zenodo, 2023, doi:<a href=\"https://doi.org/10.5281/ZENODO.7875059\">10.5281/ZENODO.7875059</a>.","bibtex":"@book{Rosendahl_2023, title={Beethoven in the House: Selective Encodings of Arrangements of Beethoven’s opp. 91, 92, and 93.}, DOI={<a href=\"https://doi.org/10.5281/ZENODO.7875059\">10.5281/ZENODO.7875059</a>}, publisher={Zenodo}, author={Rosendahl, Lisa}, year={2023} }","short":"L. Rosendahl, Beethoven in the House: Selective Encodings of Arrangements of Beethoven’s Opp. 91, 92, and 93., Zenodo, 2023.","apa":"Rosendahl, L. (2023). <i>Beethoven in the House: Selective Encodings of Arrangements of Beethoven’s opp. 91, 92, and 93.</i> Zenodo. <a href=\"https://doi.org/10.5281/ZENODO.7875059\">https://doi.org/10.5281/ZENODO.7875059</a>"},"year":"2023","user_id":"1684","department":[{"_id":"874"}],"_id":"55835","keyword":["BitH","Dataset","Domestic Music Arrangements","Ludwig van Beethoven","MEI","Music Encoding Initiative"],"type":"research_data","status":"public","abstract":[{"lang":"eng","text":"This dataset contains selective MEI encodings of a number of arrangements of Beethoven’s Opp. 91, 92, and 93. These encodings were prepared in the context of the Beethoven in the House project, jointly funded by AHRC and DFG from 2020 to 2023. It is a slight update on v1.0.0 in better organizing the release assets."}]},{"year":"2023","publisher":"Springer Nature Switzerland","date_created":"2023-08-17T12:41:45Z","title":"IndQNER: Named Entity Recognition Benchmark Dataset from the Indonesian Translation of the Quran","publication":"Natural Language Processing and Information Systems","abstract":[{"lang":"eng","text":"Indonesian is classified as underrepresented in the Natural Language Processing (NLP) field, despite being the tenth most spoken language in the world with 198 million speakers. The paucity of datasets is recognized as the main reason for the slow advancements in NLP research for underrepresented languages. Significant attempts were made in 2020 to address this drawback for Indonesian. The Indonesian Natural Language Understanding (IndoNLU) benchmark was introduced alongside IndoBERT pre-trained language model. The second benchmark, Indonesian Language Evaluation Montage (IndoLEM), was presented in the same year. These benchmarks support several tasks, including Named Entity Recognition (NER). However, all NER datasets are in the public domain and do not contain domain-specific datasets. To alleviate this drawback, we introduce IndQNER, a manually annotated NER benchmark dataset in the religious domain that adheres to a meticulously designed annotation guideline. Since Indonesia has the world’s largest Muslim population, we build the dataset from the Indonesian translation of the Quran. The dataset includes 2475 named entities representing 18 different classes. To assess the annotation quality of IndQNER, we perform experiments with BiLSTM and CRF-based NER, as well as IndoBERT fine-tuning. The results reveal that the first model outperforms the second model achieving 0.98 F1 points. This outcome indicates that IndQNER may be an acceptable evaluation metric for Indonesian NER tasks in the aforementioned domain, widening the research’s domain range."}],"keyword":["NER benchmark dataset","Indonesian","specific domain"],"language":[{"iso":"eng"}],"publication_identifier":{"issn":["0302-9743","1611-3349"],"isbn":["9783031353192","9783031353208"]},"publication_status":"published","related_material":{"link":[{"url":"https://link.springer.com/chapter/10.1007/978-3-031-35320-8_12","relation":"confirmation"}]},"place":"Cham","citation":{"apa":"Gusmita, R. H., Firmansyah, A. F., Moussallem, D., &#38; Ngonga Ngomo, A.-C. (2023). IndQNER: Named Entity Recognition Benchmark Dataset from the Indonesian Translation of the Quran. In <i>Natural Language Processing and Information Systems</i>. International Conference on Applications of Natural Language to Information Systems (NLDB) 2023, Derby, UK. Springer Nature Switzerland. <a href=\"https://doi.org/10.1007/978-3-031-35320-8_12\">https://doi.org/10.1007/978-3-031-35320-8_12</a>","bibtex":"@inbook{Gusmita_Firmansyah_Moussallem_Ngonga Ngomo_2023, place={Cham}, title={IndQNER: Named Entity Recognition Benchmark Dataset from the Indonesian Translation of the Quran}, DOI={<a href=\"https://doi.org/10.1007/978-3-031-35320-8_12\">10.1007/978-3-031-35320-8_12</a>}, booktitle={Natural Language Processing and Information Systems}, publisher={Springer Nature Switzerland}, author={Gusmita, Ria Hari and Firmansyah, Asep Fajar and Moussallem, Diego and Ngonga Ngomo, Axel-Cyrille}, year={2023} }","short":"R.H. Gusmita, A.F. Firmansyah, D. Moussallem, A.-C. Ngonga Ngomo, in: Natural Language Processing and Information Systems, Springer Nature Switzerland, Cham, 2023.","mla":"Gusmita, Ria Hari, et al. “IndQNER: Named Entity Recognition Benchmark Dataset from the Indonesian Translation of the Quran.” <i>Natural Language Processing and Information Systems</i>, Springer Nature Switzerland, 2023, doi:<a href=\"https://doi.org/10.1007/978-3-031-35320-8_12\">10.1007/978-3-031-35320-8_12</a>.","chicago":"Gusmita, Ria Hari, Asep Fajar Firmansyah, Diego Moussallem, and Axel-Cyrille Ngonga Ngomo. “IndQNER: Named Entity Recognition Benchmark Dataset from the Indonesian Translation of the Quran.” In <i>Natural Language Processing and Information Systems</i>. Cham: Springer Nature Switzerland, 2023. <a href=\"https://doi.org/10.1007/978-3-031-35320-8_12\">https://doi.org/10.1007/978-3-031-35320-8_12</a>.","ieee":"R. H. Gusmita, A. F. Firmansyah, D. Moussallem, and A.-C. Ngonga Ngomo, “IndQNER: Named Entity Recognition Benchmark Dataset from the Indonesian Translation of the Quran,” in <i>Natural Language Processing and Information Systems</i>, Cham: Springer Nature Switzerland, 2023.","ama":"Gusmita RH, Firmansyah AF, Moussallem D, Ngonga Ngomo A-C. IndQNER: Named Entity Recognition Benchmark Dataset from the Indonesian Translation of the Quran. In: <i>Natural Language Processing and Information Systems</i>. Springer Nature Switzerland; 2023. doi:<a href=\"https://doi.org/10.1007/978-3-031-35320-8_12\">10.1007/978-3-031-35320-8_12</a>"},"date_updated":"2024-11-19T15:41:34Z","author":[{"last_name":"Gusmita","id":"71039","full_name":"Gusmita, Ria Hari","first_name":"Ria Hari"},{"id":"76787","full_name":"Firmansyah, Asep Fajar","last_name":"Firmansyah","first_name":"Asep Fajar"},{"id":"71635","full_name":"Moussallem, Diego","last_name":"Moussallem","first_name":"Diego"},{"full_name":"Ngonga Ngomo, Axel-Cyrille","id":"65716","last_name":"Ngonga Ngomo","first_name":"Axel-Cyrille"}],"doi":"10.1007/978-3-031-35320-8_12","conference":{"end_date":"2023-06-23","location":"Derby, UK","name":"International Conference on Applications of Natural Language to Information Systems (NLDB) 2023","start_date":"2023-06-21"},"type":"book_chapter","status":"public","_id":"46572","department":[{"_id":"34"},{"_id":"574"}],"user_id":"71039"}]