Relevant bibliographies by topics / Data products

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Data products'

Author: Grafiati
Published: 3 June 2025
Last updated: 31 July 2025

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Journal articles on the topic "Data products"

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Asyahri, Hadi Nasyuha, Zulham, and Rusydi Ibnu. "Implementation of K-means algorithm in data analysis." TELKOMNIKA (Telecommunication, Computing, Electronics and Control) 20, no. 2 (2022): 307–13. https://doi.org/10.12928/telkomnika.v20i2.21986.

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Some large companies have difficulty in providing products even though the products are still available in the warehouse. Based on these problems, a solution is needed in managing cosmetic products and can find the right strategy so that it can increase business in the field of sales and improve sales services by using algorithms in data mining that can overcome these problems, such as clustering techniques that use the K-means clustering algorithm as a way to measure proximity data between cosmetic products based on transactions that have occurred. The specialty of the analysis of the managem
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Kavaliunas, John. "Census 2000 data products." Government Information Quarterly 17, no. 2 (2000): 209–22. http://dx.doi.org/10.1016/s0740-624x(00)00028-9.

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Rossow, William B., and Robert A. Schiffer. "ISCCP Cloud Data Products." Bulletin of the American Meteorological Society 72, no. 1 (1991): 2–20. http://dx.doi.org/10.1175/1520-0477(1991)072<0002:icdp>2.0.co;2.

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Siva Kishore Kancharla, Venkateswara. "Advancing Healthcare Data Exchange: The Role of AI and Cloud Analytics in Data Products." International Journal of Science and Research (IJSR) 13, no. 11 (2024): 1553–58. http://dx.doi.org/10.21275/sr241125121613.

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Rhomadhona, Herfia, Winda Aprianti, and Jaka Permadi. "Penerapan Data Mining Terhadap Data Penjualan Prioduk Kopi Menggunakan Algoritma Apriori." Jurnal Sustainable: Jurnal Hasil Penelitian dan Industri Terapan 10, no. 2 (2021): 65–73. http://dx.doi.org/10.31629/sustainable.v10i2.3792.

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Currently, the business competition in the culinary field is very tight. Second Home is a culinary business that sells various coffee products that are in demand by the public. The large number of various coffee products causes a lot of sales transaction data to be generated by Second Home. The sales data is not managed properly, causing accumulation and useless data. The level of useless data can be minimized by using a data mining approach. The Data Mining approach aims to provide new information from coffee product sales data. Apriori algorithm is one of the algorithms of data mining that i
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Chowdhary, K., and H. N. Najm. "Data free inference with processed data products." Statistics and Computing 26, no. 1-2 (2014): 149–69. http://dx.doi.org/10.1007/s11222-014-9484-y.

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R., Sangeetha, and A. Geetha Dr. "Effect of Organic Product Label on the Consumer Perception." International Journal of Engineering and Management Research 14, no. 1 (2024): 14–17. https://doi.org/10.5281/zenodo.10628203.

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In the organic market which is saturated in nature, the organic food consumption is seen to be growing to a considerable level. With such a prevalence, the market share for organic products has been seen to be increasing. The main element for the successful growth of the organic sector is the optimistic image which most of the consumers attribute to the organic products. Such an optimistic image is created through the labels possessed in the organic products. In this regard, the current study explores the influence of organic product label over the consumer perception regarding the organic pro
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Sovia, Rini, Abulwafa Muhammad, Syafri Arlis, Guslendra Guslendra, and Sarjon Defit. "Analysis of sales levels of pharmaceutical products by using data mining algorithm C45." Indonesian Journal of Electrical Engineering and Computer Science 22, no. 1 (2021): 476–84. https://doi.org/10.11591/ijeecs.v22.i1.pp476-484.

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This research was conducted to analyze the level of sales of pharmaceutical products at a Pharmacy. This is done to find out the types of products that have high and low sales levels. This study uses the C45 Data Mining Algorithm concept that will produce a conclusion on the prediction of sales of pharmaceutical products through data processing obtained from sales transactions at pharmacies. This C45 algorithm will form a decision tree that provides users with knowledge about products that are in great demand by consumers based on sales data and predetermined variables. The final result of the
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Geiger, Michaela. "Probleme lösen mit «Data Products»." PACKaktuell 38, no. 2 (2021): 18. http://dx.doi.org/10.51202/1664-6533-2021-2-018.

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Im verstärkten Wettbewerb müssen sich Unternehmen auf breiter Front digital aufstellen – in ihren Prozessen, Produkten und Leistungen. Inno-Pack.net, Initiative zur Innovationsförderung, zeigte Ende Januar 2021 in zwei Workshops die Möglichkeit einer neuen Herangehensweise auf.
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Berrada-Gomez, M. P., S. Rakotomalala, M. Bellec, S. Guillou, D. de Javel, and P. J. Ferret. "Exposure data for sunscreen products." Toxicology Letters 238, no. 2 (2015): S98. http://dx.doi.org/10.1016/j.toxlet.2015.08.324.

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Dissertations / Theses on the topic "Data products"

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Flankegård, Filip. "The use of data within Product Development of manufactured products." Thesis, Mälardalens högskola, Innovation och produktrealisering, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-35084.

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Kalibjian, Jeff. ""Big Data" Management and Security Application to Telemetry Data Products." International Foundation for Telemetering, 2013. http://hdl.handle.net/10150/579664.

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ITC/USA 2013 Conference Proceedings / The Forty-Ninth Annual International Telemetering Conference and Technical Exhibition / October 21-24, 2013 / Bally's Hotel & Convention Center, Las Vegas, NV<br>"Big Data" [1] and the security challenge of managing "Big Data" is a hot topic in the IT world. The term "Big Data" is used to describe very large data sets that cannot be processed by traditional database applications in "tractable" periods of time. Securing data in a conventional database is challenge enough; securing data whose size may exceed hundreds of terabytes or even petabytes is even mo
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Nilsson, Max, and Hampus Olsson. "Product Layout Optimization for Autonomous Warehouses with Grouped Products." Thesis, Blekinge Tekniska Högskola, Institutionen för datavetenskap, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-19780.

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To utilize space better, warehouses stack their products on top of each other. This increases the risk of injury for workers when storing and retrieving the products. Some warehouses counteract this by using robots to retrieve products to a picking area where a human worker picks the products needed to fulfill an order. This means that it is important for the robots to be effective when retrieving products to reduce the time the worker spends waiting in the picking area. This thesis focuses on the grouping of products in the containers when they are stored in the warehouse. The robots will the
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Benedetto, Gary. "Using linked employer-employee data to understand labor markets and improve data products." College Park, Md. : University of Maryland, 2007. http://hdl.handle.net/1903/7311.

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Thesis (Ph. D.) -- University of Maryland, College Park, 2007.<br>Thesis research directed by: Economics. Title from t.p. of PDF. Includes bibliographical references. Published by UMI Dissertation Services, Ann Arbor, Mich. Also available in paper.
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Zhou, Dunke. "High-dimensional Data Clustering and Statistical Analysis of Clustering-based Data Summarization Products." The Ohio State University, 2012. http://rave.ohiolink.edu/etdc/view?acc_num=osu1338303646.

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Burkholder, Jay Clark 1968. "A supply chain strategy for patient data management products." Thesis, Massachusetts Institute of Technology, 1998. http://hdl.handle.net/1721.1/50397.

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Thesis (M.S.)--Massachusetts Institute of Technology, Sloan School of Management; and, Thesis (M.S.)--Massachusetts Institute of Technology, Dept. of Civil and Environmental Engineering, 1998.<br>Includes bibliographical references (p. 67-68).<br>by Jay Clark Burkholder.<br>M.S.
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Alhamad, Hashim. "Leveraging data for increased sustainability of products & factories." Thesis, Massachusetts Institute of Technology, 2017. http://hdl.handle.net/1721.1/111439.

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Thesis: S.M., Massachusetts Institute of Technology, Department of Civil and Environmental Engineering, in conjunction with the Leaders for Manufacturing Program at MIT, 2017.<br>Thesis: M.B.A., Massachusetts Institute of Technology, Sloan School of Management, in conjunction with the Leaders for Manufacturing Program at MIT, 2017.<br>Cataloged from PDF version of thesis.<br>Includes bibliographical references (pages 49-50).<br>Li & Fung is a supply chain leader in consumer goods specializing in apparel, beauty products, furnishings, household goods, health and toys. It employees more than 20,
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Romaniuk, Helena. "Analysis of product usage panel data." Thesis, University of Southampton, 1999. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.326798.

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Ward, Heidi. "Modelling the re-design decision utilizing warranty data and consumer claim behaviour." Thesis, University of Salford, 2002. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.248941.

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Wagner, Anna [Verfasser]. "Linked Product Data : Describing Multi-Functional and Parametric Building Products using Semantic Web Technologies / Anna Wagner." Düren : Shaker, 2020. http://d-nb.info/1211931110/34.

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Books on the topic "Data products"

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Center, National Geophysical Data. Catalog of data & products. National Geophysical Data Center, 1997.

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Center, National Geophysical Data. Catalog of data & products. National Geophysical Data Center, 1997.

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Electronics, NEC. Memory products data book. NEC Electronics, 1993.

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Electronics, NEC. Memory products data book. NEC Electronics, 1993.

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Center, National Geophysical Data. Catalog of data & products. National Geophysical Data Center, 1997.

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Incorporated, Texas Instruments, ed. Power products data book. Texas Instruments, 1985.

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Incorporated, Texas Instruments, ed. Power products data book. Texas Instruments, 1990.

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Center, National Geophysical Data. Catalog of data & products. National Geophysical Data Center, 1997.

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Center, National Geophysical Data. Catalog of data & products. National Geophysical Data Center, 1997.

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Center, National Geophysical Data, ed. Data, products, and services. National Geophysical Data Center, 1992.

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Book chapters on the topic "Data products"

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Meierhofer, Jürg, Thilo Stadelmann, and Mark Cieliebak. "Data Products." In Applied Data Science. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-11821-1_4.

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Bang, Claus Grand. "Data Products." In Data-Driven Decision-Making for Business. Routledge, 2024. http://dx.doi.org/10.4324/9781003457787-3.

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Jung, Dominik. "Business Data Products." In The Modern Business Data Analyst. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-59907-1_6.

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Chen, Jeffrey C., Edward A. Rubin, and Gary J. Cornwall. "Developing Data Products." In Springer Series in the Data Sciences. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-71352-2_15.

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Allen, George. "CAD/CAM Data Interoperability Strategies." In Digital Products. Vieweg+Teubner Verlag, 2000. http://dx.doi.org/10.1007/978-3-322-84821-5_1.

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Grabowski, H., and R. Ostermayer. "Living Data as Knowledge Source." In Digital Products. Vieweg+Teubner Verlag, 2000. http://dx.doi.org/10.1007/978-3-322-84821-5_4.

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Langer, Arthur, and Arka Mukherjee. "Building Data-Centric Products." In Developing a Path to Data Dominance. Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-26401-6_6.

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Lichtenberg, G., K.-U. Eichmann, C. Lerot, et al. "Data Processing and Products." In SCIAMACHY - Exploring the Changing Earth’s Atmosphere. Springer Netherlands, 2010. http://dx.doi.org/10.1007/978-90-481-9896-2_8.

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Willrich, Sven-Erik. "Data Products & Use Cases." In Data-Driven Company. Springer Fachmedien Wiesbaden, 2025. https://doi.org/10.1007/978-3-658-46741-8_3.

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Anderl, Reiner. "Product Data Technology — A Basis for Virtual Product Development." In Digital Products. Vieweg+Teubner Verlag, 2000. http://dx.doi.org/10.1007/978-3-322-84821-5_2.

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Conference papers on the topic "Data products"

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Arora, Pragya, Samneet Thakur, Qamer Saquib, et al. "Updates on Nisar Data Products by ISRO." In 2024 IEEE India Geoscience and Remote Sensing Symposium (InGARSS). IEEE, 2024. https://doi.org/10.1109/ingarss61818.2024.10984376.

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Garcia, Paulo J. V., Nuno Morujão, James Leftley, Alexis Matter, and Isabelle Percheron. "GRAVITY data curation: opening science-ready data products to the community." In Optical and Infrared Interferometry and Imaging IX, edited by Stephanie Sallum, Joel Sanchez-Bermudez, and Jens Kammerer. SPIE, 2024. http://dx.doi.org/10.1117/12.3019118.

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Hernandez, Angel C., David Masaryk, Juraj Mecir, and Siamak Saliminejad. "Optimal Pricing of Configurable Products using Machine Learning." In 2024 11th IEEE Swiss Conference on Data Science (SDS). IEEE, 2024. http://dx.doi.org/10.1109/sds60720.2024.00022.

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Hoshowski, Jody, André L. Saraceno Meliande, Davi Alves, and Rolando Perez Pineiro. "H2S Scavenger Laboratory Methodology, Performance Data, and the Development of Combination Products." In LatinCORR 2023. AMPP, 2023. https://doi.org/10.5006/lac23-20299.

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Offshore sour gas can be highly toxic and contain sulfur-containing impurities that reduce natural gas quality. Hydrogen sulfide (H2S) is generally the constituent that is the main cause of these issues along with leading to fouling due to corrosion. The reduction or elimination of H2S via chemical scavengers has long been a relatively low-capital means of effectively treating oil and gas production. Laboratory tests were designed to incorporate the major influences and allow the screening of scavenger products for field implementation. A test method was used to compare the performance of stan
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Felix, Richard, Patricia Plentz, and Jean Hauck. "Approach to Deploying Batch File Data Products in a Big Data Environment." In 10th International Conference on Internet of Things, Big Data and Security. SCITEPRESS - Science and Technology Publications, 2025. https://doi.org/10.5220/0013293100003944.

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Nagai, Shota, Ryota Inaba, Rei Oishi, et al. "Zero-shot Demand Forecasting for Products with Limited Sales Periods." In 2024 IEEE International Conference on Big Data (BigData). IEEE, 2024. https://doi.org/10.1109/bigdata62323.2024.10825549.

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"GATHERING PRODUCT DATA FROM SMART PRODUCTS." In 10th International Conference on Enterprise Information Systems. SciTePress - Science and and Technology Publications, 2008. http://dx.doi.org/10.5220/0001700302520257.

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Knight, Gordon R. "Erasable Products Summary." In Optical Data Storage. Optica Publishing Group, 1989. http://dx.doi.org/10.1364/ods.1989.wd1.

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Erasable optical disk drive products finally became reality in 1988. 5 1/4" erasable optical drives were introduced and limited production quantities were shipped by Maxtor Corp., Sony Corp., and Canon, Inc. The media suppliers for these drives include Philips and DuPont Optical Co., Daicel Chemical Industries, Ltd., Sony Corp., Canon, Inc., and 3M Corp. The user capacity of the erasable disks used on these drives range from a single sided 256 MByte capacity to a double sided, 1 GByte capacity.
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Dunham, E. W., J. L. Elliot, T. A. Bida, P. L. Collins, B. W. Taylor, and S. Zoonematkermani. "HIPO data products." In SPIE Astronomical Telescopes + Instrumentation, edited by Ian S. McLean and Mark M. Casali. SPIE, 2008. http://dx.doi.org/10.1117/12.788040.

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Mitik, Merve, Ozan Korkmaz, Pinar Karagoz, Ismail Hakki Toroslu, and Ferhat Yucel. "Data Mining Based Product Marketing Technique for Banking Products." In 2016 IEEE 16th International Conference on Data Mining Workshops (ICDMW). IEEE, 2016. http://dx.doi.org/10.1109/icdmw.2016.0085.

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Reports on the topic "Data products"

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Kurtz, J., S. Sprik, C. Ainscough, G. Saur, M. Post, and M. Peters. Fall 2013 Composite Data Products - Backup Power. Office of Scientific and Technical Information (OSTI), 2013. http://dx.doi.org/10.2172/1123208.

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Kurtz, J., S. Sprik, and G. Saur. Spring 2014 Composite Data Products: Backup Power. Office of Scientific and Technical Information (OSTI), 2014. http://dx.doi.org/10.2172/1135712.

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Kurtz, J., K. Wipke, S. Sprik, et al. Spring 2013 Composite Data Products - Backup Power. Office of Scientific and Technical Information (OSTI), 2013. http://dx.doi.org/10.2172/1080111.

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Chase, Malcolm W, Jr, and Malcolm W, Jr Chase. NIST standard refernce data products 1990 catalog. National Institute of Standards and Technology, 1990. http://dx.doi.org/10.6028/nist.sp.782-1990.

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Chase, Malcolm W, Jr, Malcolm W, Jr Chase, and Joan C. Sauerwein. NIST standard reference data products 1991 catalog. National Institute of Standards and Technology, 1991. http://dx.doi.org/10.6028/nist.sp.782-1991.

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Chase, Malcolm W, Jr, Malcolm W, Jr Chase, and Joan C. Sauerwein. NIST standard reference data products catalog 1992. National Institute of Standards and Technology, 1992. http://dx.doi.org/10.6028/nist.sp.782-1992.

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Chase, Malcolm W, Jr, Malcolm W, Jr Chase, and Joan C. Sauerwein. NIST standard reference data products catalog 1993. National Institute of Standards and Technology, 1993. http://dx.doi.org/10.6028/nist.sp.782-1993.

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Chase, Malcolm W, Jr, Malcolm W, Jr Chase, and Joan C. Sauerwein. NIST standard reference data products catalog 1994. National Institute of Standards and Technology, 1994. http://dx.doi.org/10.6028/nist.sp.782-1994.

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Kurtz, J., K. Wipke, S. Sprik, T. Ramsden, C. Ainscough, and G. Saur. Fall 2012 Composite Data Products - Backup Power. Office of Scientific and Technical Information (OSTI), 2012. http://dx.doi.org/10.2172/1055378.

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Kurtz, Jennifer, Keith Wipke, Sam Sprik, Todd Ramsden, Chris Ainscough, and Genevieve Saur. ARRA MHE Composite Data Products for Data Through 2011 Q4 (Presentation). Office of Scientific and Technical Information (OSTI), 2012. http://dx.doi.org/10.2172/1045055.

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