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Relevant bibliographies by topics / Data processing and Chemometrics

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Academic literature on the topic 'Data processing and Chemometrics'

Author: Grafiati

Published: 25 January 2025

Last updated: 31 July 2025

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Journal articles on the topic "Data processing and Chemometrics"

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EL-Gindy, Alaa, and Ghada M. Hadad. "Chemometrics in Pharmaceutical Analysis: An Introduction, Review, and Future Perspectives." Journal of AOAC INTERNATIONAL 95, no. 3 (2012): 609–23. http://dx.doi.org/10.5740/jaoacint.sge_el-gindy.

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Abstract Chemometrics is the application of statistical and mathematical methods to analytical data to permit maximum collection and extraction of useful information. The utility of chemometric techniques as tools enabling multidimensional calibration of selected spectroscopic, electrochemical, and chromatographic methods is demonstrated. Application of this approach mainly for interpretation of UV-Vis and near-IR (NIR) spectra, as well as for data obtained by other instrumental methods, makes identification and quantitative analysis of active substances in complex mixtures possible, especiall

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Hibbert, David B. "Vocabulary of concepts and terms in chemometrics (IUPAC Recommendations 2016)." Pure and Applied Chemistry 88, no. 4 (2016): 407–43. http://dx.doi.org/10.1515/pac-2015-0605.

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AbstractRecommendations are given concerning the terminology relating to chemometrics. Building on ISO definitions of terms for basic concepts in statistics the vocabulary is concerned with mainstream chemometric methods. Where methods are used widely in science, definitions are given that are most useful to chemical applications. Vocabularies are given for general data processing, experimental design, classification, calibration and general multivariate methods.

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Dumancas, Gerard G., Ghalib Bello, Jeff Hughes, et al. "Chemometrics." International Journal of Fog Computing 2, no. 1 (2019): 1–42. http://dx.doi.org/10.4018/ijfc.2019010101.

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The accumulation of data from various instrumental analytical instruments has paved a way for the application of chemometrics. Challenges, however, exist in processing, analyzing, visualizing, and storing these data. Chemometrics is a relatively young area of analytical chemistry that involves the use of statistics and computer applications in chemistry. This article will discuss various computational and storage tools of big data analytics within the context of analytical chemistry with examples, applications, and usage details in relation to fog computing. The future of fog computing in chem

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Whitfield, Matthew B., and Mari S. Chinn. "Near infrared spectroscopic data handling and chemometric analysis with the R statistical programming language: A practical tutorial." Journal of Near Infrared Spectroscopy 25, no. 6 (2017): 363–80. http://dx.doi.org/10.1177/0967033517740768.

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Near infrared spectroscopy is widely used for compositional analysis of bulk materials because it is inexpensive, fast, and non-destructive. However, the chemometric techniques required to produce near infrared calibrations are varied and complex. While there are a number of commercial applications capable of implementing these techniques, there has also been a recent proliferation of R packages for chemometrics. The R programming language has greater capabilities for data processing, automation of multiple analyses, and user development of new techniques than many of the closed-source, graphi

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Artemenko, Vladuslav, and Volodymyr Petrovych. "NEW CONCEPT OF CHEMOMETRICS." Automobile Roads and Road Construction, no. 113.2 (2023): 117–32. http://dx.doi.org/10.33744/0365-8171-2023-113.2-117-132.

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The parametric statistical methods of the research experimental data most often use presently in chemometrics. If experimental data do not correspond to the normal probabilistic distribution that in this case it is impossible prodice adequate data processing. At recently in chemometrics more often started to use the classical nonparametric methods. The classical nonparametric methods do not handle the raw datas probabilistic distribution. But these methods when undertakind the real calculations don’t care use that or other types of the distributions. The classical nonparametric methods under i

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Pereira da Cunha, Pedro Henrique, Gabriely Silveira Folli, Sara Joaquina Inocencio Dionisio, Amanda Guedes Caldeira, and Paulo Roberto Filgueiras. "Tutorial para aplicação didática de quimiometria em software gratuito – Parte II: Regressão por Mínimos Quadrados Parciais (PLS) em dados de infravermelho médio e próximo para determinação de teor de adulterantes e propriedades físico-químicas." Revista Ifes Ciência 10, no. 4 (2024): 01–16. http://dx.doi.org/10.36524/ric.v10i4.2535.

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The constant advance in technology, instrumentation, and the increase in data generation capacity has resulted in a new challenge for chemists: how to deal with complex, extensive, and multidimensional data sets. In this scenario, chemometrics emerged as a branch of chemistry specialized in the application of statistical and mathematical techniques for the analysis of multivariate analytical data, resulting in more precise and reliable scientific conclusions. As it is a relatively new area, there is still a lack of educational resources on the subject, and chemometric approaches are mostly con

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Vandeerstraeten, F., C. Wojciechowski, N. Dupuy, and J. P. Huvenne. "Recognition of starch origin and modifications by chemometrics spectral data processing (in French)." Analusis 26, no. 8 (1998): 57–62. http://dx.doi.org/10.1051/analusis:199826080057.

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Musa, Ayoko, Ward, Rösch, Brown, and Rainey. "Factors Affecting Microalgae Production for Biofuels and the Potentials of Chemometric Methods in Assessing and Optimizing Productivity." Cells 8, no. 8 (2019): 851. http://dx.doi.org/10.3390/cells8080851.

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Microalgae are swift replicating photosynthetic microorganisms with several applications for food, chemicals, medicine and fuel. Microalgae have been identified to be suitable for biofuels production, due to their high lipid contents. Microalgae-based biofuels have the potential to meet the increasing energy demands and reduce greenhouse gas (GHG) emissions. However, the present state of technology does not economically support sustainable large-scale production. The biofuel production process comprises the upstream and downstream processing phases, with several uncertainties involved. This re

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Kebede, Biniam, Pui Lee, Sze Leong, et al. "A Chemometrics Approach Comparing Volatile Changes during the Shelf Life of Apple Juice Processed by Pulsed Electric Fields, High Pressure and Thermal Pasteurization." Foods 7, no. 10 (2018): 169. http://dx.doi.org/10.3390/foods7100169.

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High-Pressure Processing (HPP) and Pulsed Electric Fields (PEF) processing technologies are being used increasingly on a commercial basis, with high-quality labelled fruit juices being one of the most important promotion strategies. Quality-related enzymes, which might still be active after HPP and PEF pasteurization, can cause undesirable aroma changes during storage. This study investigated volatile changes during the shelf life of PEF (15.5 kV/cm and specific energy of 158 kJ/L), HPP (600 MPa for 3 min), and thermally (72 °C for 15 s) pasteurized Jazz apple juices—up to five weeks. To have

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Pacheco-Londoño, Leonardo C., John R. Castro-Suarez, and Samuel P. Hernández-Rivera. "Detection of Nitroaromatic and Peroxide Explosives in Air Using Infrared Spectroscopy: QCL and FTIR." Advances in Optical Technologies 2013 (May 7, 2013): 1–8. http://dx.doi.org/10.1155/2013/532670.

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A methodology for processing spectroscopic information using a chemometrics-based analysis was designed and implemented in the detection of highly energetic materials (HEMs) in the gas phase at trace levels. The presence of the nitroaromatic HEM 2,4-dinitrotoluene (2,4-DNT) and the cyclic organic peroxide triacetone triperoxide (TATP) in air was detected by chemometrics-enhanced vibrational spectroscopy. Several infrared experimental setups were tested using traditional heated sources (globar), modulated and nonmodulated FT-IR, and quantum cascade laser- (QCL-) based dispersive IR spectroscopy

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Dissertations / Theses on the topic "Data processing and Chemometrics"

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Pierce, Karisa M. "Objectively obtaining information from gas chromatographic separations of complex samples using novel data processing and chemometric techniques /." Thesis, Connect to this title online; UW restricted, 2007. http://hdl.handle.net/1773/8575.

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Jonsson, Pär. "Multivariate processing and modelling of hyphenated metabolite data." Doctoral thesis, Umeå universitet, Kemi, 2005. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-663.

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One trend in the ‘omics’ sciences is the generation of increasing amounts of data, describing complex biological samples. To cope with this and facilitate progress towards reliable diagnostic tools, it is crucial to develop methods for extracting representative and predictive information. In global metabolite analysis (metabolomics and metabonomics) NMR, GC/MS and LC/MS are the main platforms for data generation. Multivariate projection methods (e.g. PCA, PLS and O-PLS) have been recognized as efficient tools for data analysis within subjects such as biology and chemistry due to their ability

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Vitale, Raffaele. "Novel chemometric proposals for advanced multivariate data analysis, processing and interpretation." Doctoral thesis, Universitat Politècnica de València, 2017. http://hdl.handle.net/10251/90442.

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The present Ph.D. thesis, primarily conceived to support and reinforce the relation between academic and industrial worlds, was developed in collaboration with Shell Global Solutions (Amsterdam, The Netherlands) in the endeavour of applying and possibly extending well-established latent variable-based approaches (i.e. Principal Component Analysis - PCA - Partial Least Squares regression - PLS - or Partial Least Squares Discriminant Analysis - PLSDA) for complex problem solving not only in the fields of manufacturing troubleshooting and optimisation, but also in the wider environment of multiva

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Pomareda, Sesé Victor. "Signal Processing Approaches to the Detection and Localization of Gas Chemical Sources using Partially Selective Sensors." Doctoral thesis, Universitat de Barcelona, 2013. http://hdl.handle.net/10803/119727.

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Due to recent progress, higher-order chemical instrumentation provides large amounts of data which need automated processing in order to extract relevant information. In most cases, the raw signals or spectra are too complex for manual analysis. The ability to detect, identify and quantitate chemical substances in gas phase in field operations is required in a huge number of applications. Among them, I would like to highlight the need for chemical sensing on diverse humanitarian, safety and security applications. In these cases, it becomes extremely important to continuously monitor the enviro

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Jacq, Kévin. "Traitement d'images multispectrales et spatialisation des données pour la caractérisation de la matière organique des phases solides naturelles. High-resolution prediction of organic matter concentration with hyperspectral imaging on a sediment core High-resolution grain size distribution of sediment core with 2 hyperspectral imaging Study of pansharpening methods applied to hyperspectral images of sediment cores." Thesis, Université Grenoble Alpes (ComUE), 2019. http://www.theses.fr/2019GREAA024.

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L'évolution de l'environnement et le climat sont, actuellement, au centre de toutes les attentions. Les impacts de l'activité des sociétés actuelles et passées sur l'environnement sont notamment questionnés pour mieux anticiper les implications de nos activités sur le futur. Mieux décrire les environnements passés et leurs évolutions sont possibles grâce à l'étude de nombreux enregistreurs naturels (sédiments, spéléothèmes, cernes, coraux). Grâce à eux, il est possible de caractériser des évolutions bio-physico-chimiques à différentes résolutions temporelles et pour différentes périodes. La ha

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Chen, Zhaomin. "Human Liver Metastases: Chemometrics of Imaging FTIR Data." The Ohio State University, 2015. http://rave.ohiolink.edu/etdc/view?acc_num=osu1437662269.

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Gromski, Piotr Sebastian. "Application of chemometrics for the robust analysis of chemical and biochemical data." Thesis, University of Manchester, 2015. https://www.research.manchester.ac.uk/portal/en/theses/application-of-chemometrics-for-the-robust-analysis-of-chemical-and-biochemical-data(3049006f-e218-4286-83a8-e1fd85004366).html.

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In the last two decades chemometrics has become an essential tool for the experimental biologist and chemist. The level of contribution varies strongly depending on the type of research performed. Therefore, chemometrics may be used to interpret and explain results, to compare experimental data with real-word ‘unseen’ data, to accurately detect certain chemical vapour, to identify cancerous related metabolites, to identify and rank potentially relevant/important variables or simply just for a pictorial interpretation and understanding of the results. Whilst many chemometrics methods are well-e

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Xu, Yun. "Chemometrics pattern recognition with applications to genetic and metabolomics data." Thesis, University of Bristol, 2006. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.435733.

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Loades, Victoria Catherine. "The application of chemometrics to spectroscopic and process analytical data." Thesis, University of Hull, 2003. http://hydra.hull.ac.uk/resources/hull:13971.

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The research has included collaboration with number of different companies and consortiums involving spectroscopic measurements with the application of chemometric techniques. For the 'European Framework 5', Standards Measurements and Testing (SMT) chemometrics network consortium a certified reference dataset based on visible metals complex spectra was developed. An inter-laboratory study was carried out which demonstrated the between subject significant difference for chemometric data analysis. An industrial collaboration with BNFL, Springfield's, this work consisted of producing a PLS regres

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Emerton, Guy. "Data-driven methods for exploratory analysis in chemometrics and scientific experimentation." Thesis, Stellenbosch : Stellenbosch University, 2014. http://hdl.handle.net/10019.1/86366.

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Thesis (MSc)--Stellenbosch University, 2014.<br>ENGLISH ABSTRACT: Background New methods to facilitate exploratory analysis in scientific data are in high demand. There is an abundance of available data used only for confirmatory analysis from which new hypotheses can be drawn. To this end, two new exploratory techniques are developed: one for chemometrics and another for visualisation of fundamental scientific experiments. The former transforms large-scale multiple raw HPLC/UV-vis data into a conserved set of putative features - something not often attempted outside of Mass-Spectrometr

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Books on the topic "Data processing and Chemometrics"

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Brereton, Richard G. Chemometrics. John Wiley & Sons, Ltd., 2003.

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1942-, Meloun M., Militký Miří, and Forina Michele, eds. Chemometrics for analytical chemistry. Ellis Horwood, 1992.

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Meloun, M. Chemometrics for analytical chemistry. Ellis Horwood, 1994.

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Brown, S. D. Comprehensive chemometrics: Chemical and biochemical data analysis. Edited by Sarabia L. A, Trygg Johan, and ScienceDirect (Online service). Elsevier, 2009.

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C, Miller J., ed. Statistics and chemometrics for analytical chemistry. 5th ed. Pearson Prentice Hall, 2005.

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C, Miller J., and Miller J. C, eds. Statistics and chemometrics for analytical chemistry. 4th ed. Prentice Hall, 2000.

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A, Gribov L., and Institut geokhimii i analiticheskoĭ khimii im. V.I. Vernadskogo., eds. ĖVM v analiticheskoĭ khimii: Annotat͡s︡ii programm. Akademii͡a︡ nauk SSSR, In-t geokhimii i analiticheskoĭ khimii im. V.I. Vernadskogo, 1987.

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A, Gribov L., ed. Matematicheskie metody i ĖVM v analiticheskoĭ khimii: Sbornik nauchnykh trudov. "Nauka", 1989.

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G, Brereton Richard, ed. Chemometrics tutorials II: Collected from Chemometrics and intelligent laboratory systems - an international journal, volumes 6-11. Elsevier, 1992.

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G, Brereton Richard, ed. Multivariate pattern recognition in chemometrics: Illustrated by case studies. New York, 1992.

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Book chapters on the topic "Data processing and Chemometrics"

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Wehrens, Ron. "Data." In Chemometrics with R. Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-17841-2_2.

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Roussel, Sylvie, Sébastien Preys, Fabien Chauchard, and Jordane Lallemand. "Multivariate Data Analysis (Chemometrics)." In Food Engineering Series. Springer New York, 2014. http://dx.doi.org/10.1007/978-1-4939-0311-5_2.

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Smit, Henri Casemirus, and Erik Jan Heuvel. "Signal and data analysis in chromatography." In Chemometrics and Species Identification. Springer Berlin Heidelberg, 1987. http://dx.doi.org/10.1007/3-540-17308-0_3.

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He, Ping, Xiaoling Peng, and Qingsong Xu. "From “Clothing Standard” to “Chemometrics”." In Contemporary Experimental Design, Multivariate Analysis and Data Mining. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-46161-4_3.

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Balke, Stephen T. "Chemometrics in Size Exclusion Chromatography." In Detection and Data Analysis in Size Exclusion Chromatography. American Chemical Society, 1987. http://dx.doi.org/10.1021/bk-1987-0352.ch012.

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Hofmann-Wellenhof, Bernhard, Herbert Lichtenegger, and James Collins. "Data processing." In Global Positioning System. Springer Vienna, 1992. http://dx.doi.org/10.1007/978-3-7091-5126-6_9.

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Fuertes, Inmaculada, Maria Vila-Costa, Jana Asselman, Benjamín Piña, and Carlos Barata. "Data Processing for RNA/DNA Sequencing." In Comprehensive Chemometrics. Elsevier, 2020. http://dx.doi.org/10.1016/b978-0-12-409547-2.14595-0.

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Sauzier, G., and S. W. Lewis. "Chemometric Methods." In Chemometric Methods in Forensic Science. Royal Society of Chemistry, 2023. http://dx.doi.org/10.1039/bk9781839166099-00010.

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Chemometrics encompasses a wide range of tools that can provide valuable information in support of forensic investigations. This chapter provides an accessible outline of the use and interpretation of common chemometric methods applicable to the forensic sciences. Guidance is also provided concerning appropriate data collection, data pre-processing, and validation approaches to ensure the validity of the results.

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Dumancas, Gerard G., Ghalib A. Bello, Jeff Hughes, et al. "Visualization Tools for Big Data Analytics in Quantitative Chemical Analysis." In Advances in Data Mining and Database Management. IGI Global, 2018. http://dx.doi.org/10.4018/978-1-5225-3142-5.ch030.

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Modern instruments have the capacity to generate and store enormous volumes of data and the challenges involved in processing, analyzing and visualizing this data are well recognized. The field of Chemometrics (a subspecialty of Analytical Chemistry) grew out of efforts to develop a toolbox of statistical and computer applications for data processing and analysis. This chapter will discuss key concepts of Big Data Analytics within the context of Analytical Chemistry. The chapter will devote particular emphasis on preprocessing techniques, statistical and Machine Learning methodology for data m

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Biancolillo, Alessandra, and Federico Marini. "Chemometric processing of spectroscopic data." In Vibrational Spectroscopy Applications in Biomedical, Pharmaceutical and Food Sciences. Elsevier, 2020. http://dx.doi.org/10.1016/b978-0-12-818827-9.09992-3.

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Conference papers on the topic "Data processing and Chemometrics"

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He, Sheng, and Gang Zhang. "Geomagnetic Data Processing." In 2024 Photonics & Electromagnetics Research Symposium (PIERS). IEEE, 2024. http://dx.doi.org/10.1109/piers62282.2024.10618623.

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Thakur, Samneet, Shubham Gupta, Pragya Arora, et al. "NISAR SweepSAR Data Processing." In 2024 IEEE India Geoscience and Remote Sensing Symposium (InGARSS). IEEE, 2024. https://doi.org/10.1109/ingarss61818.2024.10984213.

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Calvo-Gomez, Octavio, Akbarali Ruzibayev, Shakhnozakhon Salijonova, et al. "Chemometrics as an aid to quickly evaluate galactomannans through infrared spectroscopy." In Research for Rural Development 2024 : annual 30th international scientific conference. Latvia University of Life Sciences and Technologies, 2024. https://doi.org/10.22616/rrd.30.2024.013.

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Galactomannans, composed of galactose and mannose, may form gels and are considered safe because of their non-toxic, biodegradable, and biocompatible nature. As a result, they are widely utilized in the food industry as stabilizers and thickeners. Among galactomannan producing species, guar gum and locust bean gum are particularly important due to their economical relevance. Guar gum and locust bean gum are often adulterated with cellulose gums like xanthan gum and carboxymethyl cellulose (CMC). Adulteration of galactomannans with other gums may introduce uncertainties regarding functionality

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Živojinović, Dragana Z., Dušan V. Trajković, and Jelena D. Božović. "Application of chemometrics in monitoring of spatial and temporal variations in river water quality and water classification." In 2nd International Conference on Chemo and Bioinformatics. Institute for Information Technologies, University of Kragujevac, 2023. http://dx.doi.org/10.46793/iccbi23.245z.

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The Topčiderska River is the right tributary of the Sava River, with the length of its course of 31 km, and the catchment area of about 147 km2 . It represents one of the most polluted urban waters in the territory of the Republic of Serbia. Soil erosion, as well as the discharge of wastewater from certain parts of the city and from industrial zones located in its catchment, to the greatest extent cause the pollution of this river. Within this work, representative samples of Topčiderka River water sampled in different time periods and from different locations were analyzed. Over ten physico-ch

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Cartellieri, Ansgar, Philipp Schapotschnikow, Wolfgang Weinzierl, Johannes Denninger, and Alina Adams. "Acquiring Accurate Real-Time Formation Fluid Properties to Provide In-Situ Fluid Analysis While Drilling." In SPE Offshore Europe Conference & Exhibition. SPE, 2023. http://dx.doi.org/10.2118/215520-ms.

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Abstract The composition of natural gas and crude oils specifies their calorific and commercial value. To determine required processing steps for intermediate and end products of the reservoir fluid and to define the layout of production facilities, an accurate fluid analysis is vital. Currently, the most reliable way of acquiring fluid compositional data is provided by recovering samples from the downhole environment with dedicated fluid sampling services for surface laboratory analysis. Specialized PVT (Pressure-Volume-Temperature) laboratories provide a detailed fluid characterization using

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Tang, Fenfen, Emmanuel Hatzakis, Hilary Green, and Selina Wang. "The Analysis and Authentication of Avocado Oil using High Field- & Low Field-NMR." In 2022 AOCS Annual Meeting & Expo. American Oil Chemists' Society (AOCS), 2022. http://dx.doi.org/10.21748/hnwv1042.

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The popularity of avocado oil has increased among consumers due to its organoleptic properties and health-promoting effects. Avocado oil in the US market has been found to be adulterated with cheaper oils like other high-value edible oils, such as olive oil, or of poor quality. A variety of analytical methods, including chromatography and spectroscopy, have been used to evaluate the quality and purity of avocado oils. In addition, recently, high-resolution (HR) NMR has been successfully applied to determine fatty acid contents and to discriminate avocado oil from other vegetable oils. Despite

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Tranter, Roy L., Brian Davies, Chris M. Harland, and Steve L. Boucher. "From Spectral Data To Useful (Chemical) Information Via Chemometrics." In Recent Developments and Applications if Infrared Analytical Instrumentation, edited by Harry A. Willis. SPIE, 1988. http://dx.doi.org/10.1117/12.945585.

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Hadjiloucas, S., G. C. Walker, J. W. Bowen, and R. K. H. Galvao. "Femto-chemometrics: The signal processing of fast pulse transients." In 2010 35th International Conference on Infrared, Millimeter, and Terahertz Waves (IRMMW-THz 2010). IEEE, 2010. http://dx.doi.org/10.1109/icimw.2010.5612671.

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Burger, J. E., and A. A. Gowen. "The interplay of chemometrics and hyperspectral chemical imaging." In 2011 3rd Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS). IEEE, 2011. http://dx.doi.org/10.1109/whispers.2011.6080856.

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Dutrow, Barbara, Shoshauna Farnsworth-Pinkerton, Darrell Henry, and Nancy McMillan. "Copper-Bearing Tourmaline Provenance from Chemometrics of LIBS and EMP Data." In Goldschmidt2020. Geochemical Society, 2020. http://dx.doi.org/10.46427/gold2020.626.

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Reports on the topic "Data processing and Chemometrics"

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Casasent, David. Optical Data Processing. Defense Technical Information Center, 1985. http://dx.doi.org/10.21236/ada174465.

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Conlin, Jeremy L., and Andrej Trkov. Nuclear Data Processing. IAEA Nuclear Data Section, 2018. http://dx.doi.org/10.61092/iaea.c7t6-j2x8.

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SEA TECHNOLOGY ARLINGTON VA. Communications, Telemetry, Data Processing. Defense Technical Information Center, 1998. http://dx.doi.org/10.21236/ada417821.

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Andrews, Elisabeth. RACORO aerosol data processing. Office of Scientific and Technical Information (OSTI), 2011. http://dx.doi.org/10.2172/1028128.

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- UC BERKELEY, M. SHEATS. ADVANCED DATA PROCESSING FOR VOLUMETRIC COMPUTED TOMOGRAPHY DATA. Office of Scientific and Technical Information (OSTI), 2001. http://dx.doi.org/10.2172/784592.

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Feng, Ya-Chien, Alyssa Matthews, Marqi Rocque, et al. TRACER Radar b1 Data Processing: Corrections, Calibrations, and Processing Report. Office of Scientific and Technical Information (OSTI), 2024. http://dx.doi.org/10.2172/2326212.

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Matthews, Alyssa, Min Deng, Eddie Schuman, Ya-Chien Feng, and Marqui Rocque. SAIL Radar b1 Data Processing: Corrections, Calibrations, and Processing Report. Office of Scientific and Technical Information (OSTI), 2025. https://doi.org/10.2172/2502058.

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Paterno, Marc, and Chris Green. Processing Contexts for Experimental HEP Data. Office of Scientific and Technical Information (OSTI), 2017. http://dx.doi.org/10.2172/1422188.

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Macduff, M., and D. Egan. ACRF Data Collection and Processing Infrastructure. Office of Scientific and Technical Information (OSTI), 2004. http://dx.doi.org/10.2172/1020559.

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Fields, Erik, Karen Tracey, and D. R. Watts. Inverted Echo Sounder Data Processing Report. Defense Technical Information Center, 1991. http://dx.doi.org/10.21236/ada237576.

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