Thematische Bibliographien / Data synthesis

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Auswahl der wissenschaftlichen Literatur zum Thema „Data synthesis“

Autor: Grafiati

Veröffentlicht am 28. Juni 2021

Zuletzt aktualisiert am 27. April 2022

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Zeitschriftenartikel zum Thema "Data synthesis"

Simran, Simran, und Parminder Singh Jassal. „Synthesis of 64-Bit Triple Data Encryption Standard Algorithm using VHDL“. International Journal of Trend in Scientific Research and Development Volume-2, Issue-4 (30.06.2018): 775–78. http://dx.doi.org/10.31142/ijtsrd14159.

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Hawkins, Peter, Alex Aiken, Kathleen Fisher, Martin Rinard und Mooly Sagiv. „Data representation synthesis“. ACM SIGPLAN Notices 47, Nr. 6 (06.08.2012): 38. http://dx.doi.org/10.1145/2345156.1993504.

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Hawkins, Peter, Alex Aiken, Kathleen Fisher, Martin Rinard und Mooly Sagiv. „Data representation synthesis“. ACM SIGPLAN Notices 46, Nr. 6 (04.06.2011): 38–49. http://dx.doi.org/10.1145/1993316.1993504.

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Stok, Leon. „Data path synthesis“. Integration 18, Nr. 1 (Dezember 1994): 1–71. http://dx.doi.org/10.1016/0167-9260(94)90011-6.

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Carlson, Rolf, und Björn Granström. „Data-driven multimodal synthesis“. Speech Communication 47, Nr. 1-2 (September 2005): 182–93. http://dx.doi.org/10.1016/j.specom.2005.02.015.

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Hawkins, Peter, Alex Aiken, Kathleen Fisher, Martin Rinard und Mooly Sagiv. „Concurrent data representation synthesis“. ACM SIGPLAN Notices 47, Nr. 6 (06.08.2012): 417–28. http://dx.doi.org/10.1145/2345156.2254114.

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Gordon, Mae O. „Synthesis of Available Data“. Journal of Glaucoma 2, Supplement A (1993): 27???28. http://dx.doi.org/10.1097/00061198-199300021-00013.

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Campbell, Nick. „Data‐driven speech synthesis“. Journal of the Acoustical Society of America 105, Nr. 2 (Februar 1999): 1029–30. http://dx.doi.org/10.1121/1.424923.

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Feldman, Kenneth A., William H. Yeaton und Paul M. Wortman. „Issues in Data Synthesis.“ Journal of the American Statistical Association 81, Nr. 393 (März 1986): 253. http://dx.doi.org/10.2307/2288004.

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Ferná ndez-Carrasco, Lucia, und Jordi Rius. „Synthesis and crystal structure determination of hydrated potassium dawsonite from powder diffraction data“. European Journal of Mineralogy 18, Nr. 1 (06.03.2006): 99–104. http://dx.doi.org/10.1127/0935-1221/2006/0018-0099.

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Dissertationen zum Thema "Data synthesis"

Viklund, Joel. „Synthesis of sequential data“. Thesis, Uppsala universitet, Avdelningen för systemteknik, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-443542.

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Good generative models for short time series data exist and have been applied for both data augmentation and privacy protection purposes in the past. A common theme for existing generative models is that they all use a recurrent neural network (RNN) architecture, which makes the models limited regarding the length of the sequences. In real world problems, we might have to deal with data containing longer sequences, and it is such data we in this thesis attempt to synthesize. By combining the recently successful TimeGAN framework with a temporal convolutional network component architecture, we generate synthetic sequential data for two toy data sets: sequential MNIST and multivariate sine waves. The results strongly indicate, although relying solely on a visual inspection, that the model manage to capture long temporal dynamics over time and also relations between different features for the multivariate sine waves data set. In order to make our model applicable for real world data sets, we suggest two improvements. Firstly, the validation of the generated data should not only rely on visual inspection, but also ensure that the synthetic data has the same statistical distribution. Secondly, depending on the task, model refinements such that the synthetic samples look even more realistic should be made.

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Zhang, Xi. „Data Synthesis for Object Recognition“. Thesis, Illinois Institute of Technology, 2018. http://pqdtopen.proquest.com/#viewpdf?dispub=10642437.

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Large and balanced datasets are normally crucial for many machine learning models, especially when the problem is defined in a high dimensional space due to high complexity. In real-world applications, it is usually very hard and/or expensive to obtain adequate amounts of labeled data, even with the help of crowd-sourcing. To address these problems, a possible approach is to create synthetic data and use it for training. This approach has been applied in many application areas of computer vision including document recognition, object retrieval, and object classification. While a boosted performance has been demonstrated using synthetic data, the boosted performance is limited by two main factors in existing approaches. First, most existing approaches for creating and using synthetic data are application-specific and thus lack the ability to benefit other application areas. Further, such application-specific approaches are often heuristic in nature. Second, existing approaches do not recognize an inherent difference between synthetic data and actual data which is termed as a synthetic gap in my proposal. The synthetic gap in existing approaches is due to the fact that not all possible patterns and structures of actual data are present in the synthetic data. To address the problems of using synthetic data and using it to better improve the performance of learning algorithm, this proposal considers general ways of creating and using synthetic data. The problem caused by the synthetic gap is studied and approaches to overcome the gap are proposed. Experimental results demonstrate that the proposed approach is efficient and can boost the performance of many computer vision applications including building roof classification, character classification, and point cloud object classification.

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Hardwick, Jonathan Robert. „Synthesis of Noise from Flyover Data“. Thesis, Virginia Tech, 2014. http://hdl.handle.net/10919/50531.

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Flyover noise is a problem that affects citizens, primarily those that live near or around places with high air traffic such as airports or military bases. Such noise can be of great annoyance. The focus of this thesis is in determining a method to create a high fidelity sound source simulation of rotorcraft noise for the purpose of producing a complete flyover scenario to be used in psychoacoustic testing. The focus of the sound source simulation is simulating rotorcraft noise fluctuations during level flight to aid in psychoacoustic testing to determine human perception of such noise. Current methods only model the stationary or time-average components when synthesizing the sound source. The synthesis process described in this thesis determines the steady-state waveform of the noise as well as the time-varying fluctuations for each rotor individually. The process explored in this thesis uses an empirical approach to synthesize flyover noise by directly using physical flyover recordings. Four different methods of synthesis were created to determine the combination of components that produce high fidelity sound source simulation. These four methods of synthesis are: a) Unmodulated main rotor b) Modulated main rotor c) Unmodulated main rotor combined with the unmodulated tail rotor d) Modulated main rotor combined with the modulated tail rotor Since the time-varying components of the source sound are important to the creation of high fidelity sound source simulation, five different types of time-varying fluctuations, or modulations, were implemented to determine the importance of the fluctuating components on the sound source simulation. The types of modulation investigated are a) no modulation, b) randomly applied generic modulation, c) coherently applied generic modulation, d) randomly applied specific modulation, and e) coherently applied specific modulation. Generic modulation is derived from a different section of the source recording to which it is applied. For the purposes of this study, it is not clearly dominated by either thickness or loading noise characteristics, but still displays long-term modulation. Random application of the modulation implies that there is a loss of absolute modulation phase and amplitude information across the frequency spectrum. Coherent application of the modulation implies that an attempt is made to line up the absolute phase and amplitude of the modulation signal with that which is being replaced (i.e. that which was stripped from the original recording and expanding or contracting to fit the signal to which it is applied). Specific modulation is the modulation from the source recording which is being reconstructed. A psychoacoustic test was performed to rank the fidelity of each synthesis method and each type of modulation. Performing this comparison for two different emission angles provides insight as to whether the ranking will differ between the emission angles. The modulated main rotor combined with the modulated tail rotor showed the highest fidelity and had a much higher fidelity than any of the other synthesis methods. The psychoacoustic test proved that modulation is necessary to produce a high fidelity sound source simulation. However, the use of a generic modulation or a randomly applied specific modulation proved to be an inadequate substitute for the coherently applied specific modulation. The results from this research show that more research is necessary to properly simulate a full flyover scenario. Specifically, more data is needed in order to properly model the modulation for level flight.
Master of Science

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Tanco, L. Molina. „Human motion synthesis from captured data“. Thesis, University of Surrey, 2002. http://epubs.surrey.ac.uk/844411/.

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Animation of human motion is one of the most challenging topics in computer graphics. This is due to the large number of degrees of freedom of the body and to our ability to detect unnatural motion. Keyframing and interpolation remains the form of animation that is preferred by most animators because of the control and flexibility it provides. However this is a labour intensive process that requires skills that take years to acquire. Human motion capture techniques provide accurate measurement of the motion of a performer that can be mapped onto an animated character to provide strikingly natural animation. This raises the problem of how to allow an animator to modify captured movement to produce a desired animation whilst preserving the natural quality. This thesis introduces a new approach to the animation of human motion based on combining the flexibility of keyframing with the visual quality of motion capture data. In particular it addresses the problem of synthesising natural inbetween motion for sparse keyframes. This thesis proposes to obtain this motion by sampling high quality human motion capture data. The problem of keyframe interpolation is formulated as a search problem in a graph. This presents two difficulties: The complexity of the search makes it impractical for the large databases of motion capture required to model human motion. The second difficulty is that the global temporal structure in the data may not be preserved in the search. To address these difficulties this thesis introduces a layered framework that both reduces the complexity of the search and preserves the global temporal structure of the data. The first layer is a simplification of the graph obtained by clustering methods. This layer enables efficient planning of the search for a path between start and end keyframes. The second layer directly samples segments of the original motion data to synthesise realistic inbetween motion for the keyframes. A number of additional contributions are made including novel representations for human motion, pose similarity cost functions, dynamic programming algorithms for efficient search and quantitative evaluation methods. Results of realistic inbetween motion are presented with databases of up to 120 sequences (35000 frames). Key words: Human Motion Synthesis, Motion Capture, Character Animation, Graph Search, Clustering, Unsupervised Learning, Markov Models, Dynamic Programming.

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Futang, Zhang. „Data Synthesis in PCM Telemetry System“. International Foundation for Telemetering, 1986. http://hdl.handle.net/10150/615425.

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International Telemetering Conference Proceedings / October 13-16, 1986 / Riviera Hotel, Las Vegas, Nevada
In the field of re-entry telemetry, data synthesis is an important research task for multibeam and multi-reseiver system. This paper presents a microcmputer-based method to synthesize PCM data in real-time. The performances of various criteria used in data synthesis systems are also analyzed here.

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Koecher, Matthew R. „Hardware Synthesis of Synchronous Data Flow Models“. BYU ScholarsArchive, 2004. https://scholarsarchive.byu.edu/etd/20.

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Synchronous Dataflow (SDF) graphs are a convenient way to represent many signal processing and dataflow operations. Nodes within SDF graphs represent computation while arcs represent dependencies between nodes. Using a graph representation, SDF graphs formally specify a dataflow algorithm without any assumptions on the final implementation. This allows an SDF model to be synthesized into a variety of implementation techniques including both software and hardware. This thesis presents a technique for generating an abstract hardware representation from SDF models. The techniques presented here operate on SDF models defined structurally within the Ptolemy modeling environment. The behavior of the nodes within Ptolemy SDF models is specified in software and can be simple, such as a single arithmetic operation, or arbitrarily complex. This thesis presents a technique for extracting the behavior of a limited class of SDF nodes defined in software and generating a structural description of the SDF model based on primitive arithmetic and logical operations. This synthesized graph can be used for subsequent hardware synthesis transformations.

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Gordon, Michael. „SGLS COMMAND DATA ENCODING USING DIRECT DIGITAL SYNTHESIS“. International Foundation for Telemetering, 1992. http://hdl.handle.net/10150/608937.

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International Telemetering Conference Proceedings / October 26-29, 1992 / Town and Country Hotel and Convention Center, San Diego, California
The Space Ground Link Subsystem (SGLS) provides full duplex communications for commanding, tracking, telemetry and ranging between spacecraft and ground stations. The up-link command signal is an S-Band carrier phase modulated with the frequency shift keyed (FSK) command data. The command data format is a ternary (S, 1, 0) signal. Command data rates of 1, 2, and 10 Kbps are used. The method presented uses direct digital synthesis (DDS) to generate the SGLS command data and clock signals. The ternary command data and clock signals are input to the encoder, and an FSK subcarrier with an amplitude modulated clock is digitally generated. The command data rate determines the frequencies of the S, 1, 0 tones. DDS ensures that phase continuity will be maintained, and frequency stability will be determined by the microprocessor crystal accuracy. Frequency resolution can be maintained to within a few Hz from DC to over 2 MHZ. This allows for the generation of the 1 and 2 Kbps command data formats as well as the newer 10 Kbps format. Additional formats could be accommodated through software modifications. The use of digital technology provides for encoder self-testing and more comprehensive error reporting.

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Yu, Qingzhao. „Bayesian synthesis“. Columbus, Ohio : Ohio State University, 2006. http://rave.ohiolink.edu/etdc/view?acc%5Fnum=osu1155324080.

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Scott, Simon David. „A data-driven approach to visual speech synthesis“. Thesis, University of Bath, 1996. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.307116.

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Inanoglu, Zeynep. „Data driven parameter generation for emotional speech synthesis“. Thesis, University of Cambridge, 2008. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.612250.

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Bücher zum Thema "Data synthesis"

(Europe), NEC Electronics. Speech products synthesis compression data book. Düsseldorf: NEC Electronics, 1993.

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Damper, R. I. Data-Driven Techniques in Speech Synthesis. Boston, MA: Springer US, 2001.

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Damper, Robert I., Hrsg. Data-Driven Techniques in Speech Synthesis. Boston, MA: Springer US, 2001. http://dx.doi.org/10.1007/978-1-4757-3413-3.

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Heanue, Kevin E. Data sharing and data partnerships for highways: A synthesis of highway practice. Washington, D.C: National Academy Press, 2000.

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Harman, Lawrence J. Mobile data terminals: A synthesis of transit practice. Washington, D.C: Transportation Research Board, 2007.

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1964-, Ghosh Abhijit, und Keutzer Kurt William 1955-, Hrsg. Logic synthesis. New York: McGraw-Hill, 1994.

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Drechsler, Rolf. Towards One-Pass Synthesis. Boston, MA: Springer US, 2002.

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Taher, Abbasi, Hrsg. Logic synthesis using Synopsys. 2. Aufl. Boston: Kluwer Academic, 1997.

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Taher, Abbasi, Hrsg. Logic synthesis using Synopsys. Boston: Kluwer Academic Publishers, 1995.

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Bhasker, Jayaram. A VHDL synthesis primer. Allentown, Penn: Star Galaxy Publishing, 1996.

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Buchteile zum Thema "Data synthesis"

Zhang, Ting. „Data Synthesis“. In Encyclopedia of Big Data, 1–3. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-32001-4_503-1.

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Zhang, Ting. „Data Synthesis“. In Encyclopedia of Big Data, 345–47. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-319-32010-6_503.

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Elliott, John P. „Data Types“. In Understanding Behavioral Synthesis, 41–55. Boston, MA: Springer US, 1999. http://dx.doi.org/10.1007/978-1-4615-5059-4_4.

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Granat, Janusz. „Data Mining of Telecommunications Data as an Example of Systemic Synthesis“. In Knowledge Synthesis, 41–54. Tokyo: Springer Japan, 2016. http://dx.doi.org/10.1007/978-4-431-55218-5_4.

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Dickins, Thomas E. „Data and Information“. In The Modern Synthesis, 107–32. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-86422-4_5.

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Huang, Shuai, und Houtao Deng. „Synthesis Architecture & Pipeline“. In Data Analytics, 219–46. First edition. | Boca Raton : CRC Press, 2021.: Chapman and Hall/CRC, 2021. http://dx.doi.org/10.1201/9781003102656-ch10.

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Ruttiens, Alain. „Synthesis“. In Decision Making with Quantitative Financial Market Data, 61. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-67580-6_6.

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Lake, Peter, und Robert Drake. „Synthesis“. In Information Systems Management in the Big Data Era, 147–67. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-13503-8_7.

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Ackermann, Jürgen. „Control Loop Synthesis“. In Sampled-Data Control Systems, 227–76. Berlin, Heidelberg: Springer Berlin Heidelberg, 1985. http://dx.doi.org/10.1007/978-3-642-82554-5_6.

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Crawfis, Roger, und Jian Huang. „High Quality Splatting and Volume Synthesis“. In Data Visualization, 127–40. Boston, MA: Springer US, 2003. http://dx.doi.org/10.1007/978-1-4615-1177-9_9.

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Konferenzberichte zum Thema "Data synthesis"

Spalević, Žaklina, Miloš Ilić und Petar Spalević. „Electronic monitoring devices and data processing“. In Synthesis 2015. Belgrade, Serbia: Singidunum University, 2015. http://dx.doi.org/10.15308/synthesis-2015-242-247.

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Njeguš, Angelina, Vanja Nikolić und Verka Jovanović. „THE SELECTION OF OPTIMAL DATA MINING METHOD FOR SMALL-SIZED HOTELS“. In Synthesis 2015. Belgrade, Serbia: Singidunum University, 2015. http://dx.doi.org/10.15308/synthesis-2015-519-524.

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Petrović, Slobodan. „APPROXIMATE SEARCH FOR BIG DATA WITH APPLICATIONS IN INFORMATION SECURITY – A SURVEY“. In Synthesis 2015. Belgrade, Serbia: Singidunum University, 2015. http://dx.doi.org/10.15308/synthesis-2015-774.

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Zhang, Chenrui, und Yuxin Peng. „Visual Data Synthesis via GAN for Zero-Shot Video Classification“. In Twenty-Seventh International Joint Conference on Artificial Intelligence {IJCAI-18}. California: International Joint Conferences on Artificial Intelligence Organization, 2018. http://dx.doi.org/10.24963/ijcai.2018/157.

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Zero-Shot Learning (ZSL) in video classification is a promising research direction, which aims to tackle the challenge from explosive growth of video categories. Most existing methods exploit seento- unseen correlation via learning a projection between visual and semantic spaces. However, such projection-based paradigms cannot fully utilize the discriminative information implied in data distribution, and commonly suffer from the information degradation issue caused by "heterogeneity gap". In this paper, we propose a visual data synthesis framework via GAN to address these problems. Specifically, both semantic knowledge and visual distribution are leveraged to synthesize video feature of unseen categories, and ZSL can be turned into typical supervised problem with the synthetic features. First, we propose multi-level semantic inference to boost video feature synthesis, which captures the discriminative information implied in joint visual-semantic distribution via feature-level and label-level semantic inference. Second, we propose Matching-aware Mutual Information Correlation to overcome information degradation issue, which captures seen-to-unseen correlation in matched and mismatched visual-semantic pairs by mutual information, providing the zero-shot synthesis procedure with robust guidance signals. Experimental results on four video datasets demonstrate that our approach can improve the zero-shot video classification performance significantly.

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Loncaric, Calvin. „Data structure synthesis“. In FSE'16: 24nd ACM SIGSOFT International Symposium on the Foundations of Software Engineering. New York, NY, USA: ACM, 2016. http://dx.doi.org/10.1145/2950290.2983946.

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Hawkins, Peter, Alex Aiken, Kathleen Fisher, Martin Rinard und Mooly Sagiv. „Data representation synthesis“. In the 32nd ACM SIGPLAN conference. New York, New York, USA: ACM Press, 2011. http://dx.doi.org/10.1145/1993498.1993504.

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Vilić, Vida. „Mechanisms for Protecting the Right to Privacy and Personal Data on Social Networks“. In Synthesis 2015. Belgrade, Serbia: Singidunum University, 2015. http://dx.doi.org/10.15308/synthesis-2015-10-19.

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DeSantis, Zachary J., und James R. Fienup. „Image Reconstruction from Sparse Interferometric Data“. In Signal Recovery and Synthesis. Washington, D.C.: OSA, 2014. http://dx.doi.org/10.1364/srs.2014.stu2f.4.

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Leung, W.-Y. V., R. G. Lane und M. Talion. „Centroid estimation from undersampled wavefront sensing data“. In Signal Recovery and Synthesis. Washington, D.C.: OSA, 2001. http://dx.doi.org/10.1364/srs.2001.swa4.

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Stamenković, Dušan, Marko Šarac, Dalibor Radovanović und Ana Simićević. „Privacy policy and data archiving in organizations in the Republic of Serbia and the EU countries“. In Synthesis 2015. Belgrade, Serbia: Singidunum University, 2015. http://dx.doi.org/10.15308/synthesis-2015-71-75.

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Berichte der Organisationen zum Thema "Data synthesis"

Ravichandran, A., und K. Kant. Analysis and Synthesis of Robust Data Structures. Fort Belvoir, VA: Defense Technical Information Center, August 1990. http://dx.doi.org/10.21236/ada224568.

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Singh, Tarunraj. Synthesis of Road Networks by Data Conflation. Fort Belvoir, VA: Defense Technical Information Center, April 2014. http://dx.doi.org/10.21236/ada603970.

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Tulloch, Olivia, Tamara Roldan de Jong und Kevin Bardosh. Data Synthesis: COVID-19 Vaccine Perceptions in Africa: Social and Behavioural Science Data, March 2020-March 2021. Institute of Development Studies (IDS), Mai 2021. http://dx.doi.org/10.19088/sshap.2021.030.

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Safe and effective vaccines against COVID-19 are seen as a critical path to ending the pandemic. This synthesis brings together data related to public perceptions about COVID-19 vaccines collected between March 2020 and March 2021 in 22 countries in Africa. It provides an overview of the data (primarily from cross-sectional perception surveys), identifies knowledge and research gaps and presents some limitations of translating the available evidence to inform local operational decisions. The synthesis is intended for those designing and delivering vaccination programmes and COVID-19 risk communication and community engagement (RCCE). 5 large-scale surveys are included with over 12 million respondents in 22 central, eastern, western and southern African countries (note: one major study accounts for more than 10 million participants); data from 14 peer-reviewed questionnaire surveys in 8 countries with n=9,600 participants and 15 social media monitoring, qualitative and community feedback studies. Sample sizes are provided in the first reference for each study and in Table 13 at the end of this document. The data largely predates vaccination campaigns that generally started in the first quarter of 2021. Perceptions will change and further syntheses, that represent the whole continent including North Africa, are planned. This review is part of the Social Science in Humanitarian Action Platform (SSHAP) series on COVID-19 vaccines. It was developed for SSHAP by Anthrologica. It was written by Kevin Bardosh (University of Washington), Tamara Roldan de Jong and Olivia Tulloch (Anthrologica), it was reviewed by colleagues from PERC, LSHTM, IRD, and UNICEF (see acknowledgments) and received coordination support from the RCCE Collective Service. It is the responsibility of SSHAP.

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Tulloch, Olivia, Tamara Roldan de Jong und Kevin Bardosh. Data Synthesis: COVID-19 Vaccine Perceptions in Sub-Saharan Africa: Social and Behavioural Science Data, March 2020-April 2021. Institute of Development Studies (IDS), Mai 2021. http://dx.doi.org/10.19088/sshap.2028.

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Luo, Yiqi. Data Synthesis and Data Assimilation at Global Change Experiments and Fluxnet Toward Improving Land Process Models. Office of Scientific and Technical Information (OSTI), September 2017. http://dx.doi.org/10.2172/1389295.

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Steckler, N., A. Florita, J. Zhang und B. M. Hodge. Analysis and Synthesis of Load Forecasting Data for Renewable Integration Studies: Preprint. Office of Scientific and Technical Information (OSTI), November 2013. http://dx.doi.org/10.2172/1110455.

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Gauntt, Randall O. Synthesis of VERCORS and Phebus data in severe accident codes and applications. Office of Scientific and Technical Information (OSTI), April 2010. http://dx.doi.org/10.2172/983685.

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Holliday, D. V., und C. F. Greenlaw. Layered Organization in the Coastal Ocean: Acoustical Data Acquisition, Analyses and Synthesis. Fort Belvoir, VA: Defense Technical Information Center, September 2006. http://dx.doi.org/10.21236/ada630678.

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Cai, Hubo, Chenxi Yuan, Timothy McClure und Phillip Dunston. A Synthesis Study on Collecting, Managing, and Sharing Road Construction Asset Data. Purdue University, Dezember 2015. http://dx.doi.org/10.5703/1288284316005.

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Ensom, T., P. D. Morse, S. V. Kokelj, E. MacDonald, J. Young, S. Tank, R. Subedi, E. Grozic und A. Castagner. Permafrost geotechnical borehole data synthesis: 2013-2017 Inuvik-Tuktoyaktuk region, Northwest Territories. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 2020. http://dx.doi.org/10.4095/321869.

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