Relevant bibliographies by topics / Data direction

Contents

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

Academic literature on the topic 'Data direction'

Author: Grafiati
Published: 4 June 2021
Last updated: 29 July 2025

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Journal articles on the topic "Data direction"

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Carr, Ellen. "Direction From Data." Clinical Journal of Oncology Nursing 25, no. 5 (2021): 495. http://dx.doi.org/10.1188/21.cjon.495.

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Shuster, Malcolm D. "Effective direction measurements for spacecraft attitude: III. Defective directions and data fusion." Journal of the Astronautical Sciences 55, no. 4 (2007): 493–510. http://dx.doi.org/10.1007/bf03256538.

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Wilson, W. Brett. "Data Buoy Aerodynamics." Marine Technology and SNAME News 30, no. 01 (1993): 51–60. http://dx.doi.org/10.5957/mt1.1993.30.1.51.

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The National Data Buoy Center (NDBC) operates moored data buoys in waters around the United States, providing highly valuable environmental observations in real time from remote marine regions. Key among these observations are wind speed and direction, and, for that purpose, NDBC uses duplicate anemometers on each buoy for reasons of redundancy and data quality. A significant portion of the NDBC buoy array also measures the directional wave spectrum. Buoys so equipped, when also fitted with a fin on the mast, can produce wind speed and direction from the directional wave system output; however
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Xu, Haiyong, Kevin Nichols, and Frederic P. Schoenberg. "Kernel Regression of Directional Data with Application to Wind and Wildfire Data in Los Angeles County, California." Forest Science 57, no. 4 (2011): 343–52. http://dx.doi.org/10.1093/forestscience/57.4.343.

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Abstract This article describes a method of kernel regression that can be used to investigate the relationship between a directional explanatory variable and a real-valued response variable. Cross-validation and bootstrap methods for obtaining sensible bandwidths and standard error estimates are also described. The proposed method is applied to wildfire and meteorological data from Los Angeles County, California, with the goal of summarizing and quantifying the impact of wind direction on the total area burned in wildfires ignited on a particular day. The results confirm that winds blowing fro
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Karakhanyan, A., and A. Sabra. "Refractor surfaces determined by near-field data." Journal of Differential Equations 269, no. 2 (2020): 1278–318. https://doi.org/10.1016/j.jde.2020.01.002.

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Due to dispersion, light with different wavelengths, or colors, is refracted at different angles. Our purpose is to determine when is it possible to design a lens made of a single homogeneous material so that it refracts light superposition of two colors into a desired fixed final direction. Two problems are considered: one is when light emanates in a parallel beam and the other is when light emanates from a point source. For the first problem, and when the direction of the parallel beam is different from the final desired direction, we show that such a lens does not exist; otherwise we prove
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Zikra, Muhammad, Noriaki Hashimoto, Masaru Yamashiro, and Kojiro Kojiro Suzuki. "Transformation of Directional Wave Spreading in the Surf Zone Using Video Image Data." Journal of Ocean, Mechanical and Aerospace -science and engineering- (JOMAse) 4, no. 1 (2014): 17–22. https://doi.org/10.36842/jomase.v4i1.517.

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In present study, video images technique is used to investigate the transformation of the directional wave spreading in shallow water. The technique is based on time series of the pixel brightness on video images. The Bayesian Directional Method is conducted in estimating the directional wave spectrum for evaluating the change of the directional wave spreading in the surf zone area. Video image data recorded at Hasaki beach in Japan are used in the analysis. Estimation of principle direction and spreading parameter in the surf zone regions indicated that principle directions at peak frequency
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Mallick, Subhashis, Kenneth L. Craft, Laurent J. Meister, and Ronald E. Chambers. "Determination of the principal directions of azimuthal anisotropy from P-wave seismic data." GEOPHYSICS 63, no. 2 (1998): 692–706. http://dx.doi.org/10.1190/1.1444369.

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In an azimuthally anisotropic medium, the principal directions of azimuthal anisotropy are the directions along which the quasi-P- and the quasi-S-waves propagate as pure P and S modes. When azimuthal anisotropy is induced by oriented vertical fractures imposed on an azimuthally isotropic background, two of these principal directions correspond to the directions parallel and perpendicular to the fractures. S-waves propagating through an azimuthally anisotropic medium are sensitive to the direction of their propagation with respect to the principal directions. As a result, primary or mode‐conve
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Lee, Eunmi, and Loni Hagen. "Identifying Policy Direction Change from Economic Texts Using Words as Data." Crisis and Emergency Management: Theory and Praxis 12, no. 5 (2022): 11–20. http://dx.doi.org/10.14251/jscm.2022.5.11.

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We examined to what extent the economic and political factors influence policy ideas by deconstructing the economic policy direction reports into words. In this study, the economic factor was set as the economic growth rate, and the political factor was government change. We empirically tested whether economic and political factors affect policy ideas using text mining, correspondence analysis, and ANOVA. The empirical analysis results show the economic policy direction report forms the basic framework of the idea by centering on a few keywords that appear repeatedly, and the words as ideas co
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LEE, CHARLES M. C., and MARK J. READY. "Inferring Trade Direction from Intraday Data." Journal of Finance 46, no. 2 (1991): 733–46. http://dx.doi.org/10.1111/j.1540-6261.1991.tb02683.x.

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Huang, Min-Chih, and Jia-Yuan Chen. "Wave direction analysis from data buoys." Ocean Engineering 25, no. 8 (1998): 621–37. http://dx.doi.org/10.1016/s0029-8018(97)00036-x.

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Dissertations / Theses on the topic "Data direction"

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Otieno, Bennett Sango. "An Alternative Estimate of Preferred Direction for Circular Data." Diss., Virginia Tech, 2002. http://hdl.handle.net/10919/28401.

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Circular or Angular data occur in many fields of applied statistics. A common problem of interest in circular data is estimating a preferred direction and its corresponding distribution. This problem is complicated by the so-called wrap-around effect, which exists because there is no minimum or maximum on the circle. The usual statistics employed for linear data are inappropriate for directional data, as they do not account for the circular nature of directional data. Common choices for summarizing the preferred direction are the sample circular mean, and sample circular median. A newly propos
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Lee, Myung Hee Marron James Stephen. "Continuum direction vectors in high dimensional low sample size data." Chapel Hill, N.C. : University of North Carolina at Chapel Hill, 2007. http://dc.lib.unc.edu/u?/etd,1132.

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Thesis (Ph. D.)--University of North Carolina at Chapel Hill, 2007.<br>Title from electronic title page (viewed Mar. 27, 2008). "... in partial fulfillment of the requirements for the degree of Doctor of Philosophy in the Department of Statistics and Operations Research Statistics." Discipline: Statistics and Operations Research; Department/School: Statistics and Operations Research.
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彭運佳 and Wan-kai Pang. "Time series analysis of meteorological data: wind speed and direction." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 1993. http://hub.hku.hk/bib/B30425979.

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Pang, Wan-kai. "Time series analysis of meteorological data : wind speed and direction /." [Hong Kong] : University of Hong Kong, 1993. http://sunzi.lib.hku.hk/hkuto/record.jsp?B13456933.

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Li, Huiyong. "Enhancing Students' Self-Direction Skill with Learning and Physical Activity Data." Doctoral thesis, Kyoto University, 2021. http://hdl.handle.net/2433/263776.

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Burintramart, Santana. "Methods for direction of arrival estimation using a single snapshot of the data." Related electronic resource: Current Research at SU : database of SU dissertations, recent titles available full text, 2009. http://wwwlib.umi.com/cr/syr/main.

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Hibbert, Michael Patrick. "The development of a solid state wind velocity and direction indicator, suitable for data logging." Thesis, Cape Technikon, 1992. http://hdl.handle.net/20.500.11838/1117.

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Thesis (Masters Diploma (Electrical Engineering)) -- Cape Technikon, Cape Town,1992<br>This thesis describes the development of a free standing, maintenance free anemometer which has no rotating parts. The principle of operation is based on the \-vind drag/force around a hollow P.V.c. pipe. The aim is to demonstrate how the strain occurring in the P.V.C. pipe, due to wind drag/force acting on it, can generate an electrical signal which can be mathematically manipulated to determine wind velocity and wind bearing.
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Atemkeng, Marcellin T. "Data compression, field of interest shaping and fast algorithms for direction-dependent deconvolution in radio interferometry." Thesis, Rhodes University, 2017. http://hdl.handle.net/10962/6324.

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In radio interferometry, observed visibilities are intrinsically sampled at some interval in time and frequency. Modern interferometers are capable of producing data at very high time and frequency resolution; practical limits on storage and computation costs require that some form of data compression be imposed. The traditional form of compression is simple averaging of the visibilities over coarser time and frequency bins. This has an undesired side effect: the resulting averaged visibilities “decorrelate”, and do so differently depending on the baseline length and averaging interval. This t
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Hogler, Marcus. "Comparing head- and eye direction and accuracy during smooth pursuit in an augmented reality environment." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-254999.

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Smooth pursuit is the movement that occurs when the eyes meticulously follow an object in motion. While smooth pursuit can be achieved with a stationary head, it generally relies on the head following the visual target as well. During smooth pursuit, a coordinating vestibular mechanism, shared by both the head and the eyes, is used. Therefore, smooth pursuit can reveal much about where a person is looking based on only the direction of the head. To investigate the interplay between the eyes and the head, an application was made for the augmented reality head-mounted display Magic Leap. The app
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Wolf, Jordan Taylor. "Trending in the Right Direction: Using Google Trends Data as a Measure of Public Opinion During a Presidential Election." Thesis, Virginia Tech, 2018. http://hdl.handle.net/10919/83571.

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During the 2016 presidential election, public opinion polls consistently showed a lead in the popular vote and Electoral College for Hillary Clinton over Donald Trump. Following Trump's surprise victory, the political pundits and public at large began to question the accuracy of modern public opinion polling. Fielding a representative sample, convoluted and opaque methodologies, the sheer amount of polls, and both the media's and general public's inability to interpret poll results are among the flaws of the polling industry. An alternative or supplement to traditional polling practices is nec
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Books on the topic "Data direction"

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Indonesia. Direktorat Pembinaan Film dan Rekaman Video., ed. Aneka data perfilman Indonesia, 1996-1997. Departemen Penerangan R.I., 1997.

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United States. National Oceanic and Atmospheric Administration. Strategic direction for NOAA'sintegrated global environmental observation and data management system. National Oceanic and Atmospheric Administration, 2004.

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Pennsylvania. Bureau of Automated Technology Management. Strategic direction for automated technology in Pennsylvania state government, 1991-1995. The Bureau, 1991.

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Barry, Funk, and Goddard Space Flight Center, eds. BOREAS AES Campbell scientific surface meteorological data. National Aeronautics and Space Administration, Goddard Space Flight Center, 2000.

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Banque (Firm : Paris, France). Séminaire de direction. Séminaire de direction: Big bang technologique, mardi, 17 novembre 1987. Revue Banque, 1987.

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McQuillin, Lon B. Computers in video production. Knowledge Industry Publications, 1986.

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Fund, International Monetary, ed. Improving the estimation methodology of monthly data in direction of trade statistics. International Monetary Fund, 1994.

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Bhattacharyya, Ranajoy. Does the gravity model explain India's direction of trade?: A panel data approach. Indian Institute of Management, 2006.

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Institute for Computer Applications in Science and Engineering., ed. Illustrating surface shape in volume data via principal direction-driven 3D line integral convolution. Institute for Computer Applications in Science and Engineering, NASA Langley Research Center, 1997.

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ACM-SIGUCCS User Services Conference (14th 1986 Montréal, Québec). Conference proceedings: Setting the direction : ACM SIGUCCS User Services Conference XIV, Le Centre Sheraton, Montréal, Québec, September 27th-October lst, 1986. ACM, 1986.

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Book chapters on the topic "Data direction"

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Ziehm, G. "A Small Aperture Acoustic Direction Finder." In Underwater Acoustic Data Processing. Springer Netherlands, 1989. http://dx.doi.org/10.1007/978-94-009-2289-1_43.

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Lagunas, Miguel A., and Francesc Vallverdu. "Rayleigh Estimates for High Resolution Direction Finding." In Underwater Acoustic Data Processing. Springer Netherlands, 1989. http://dx.doi.org/10.1007/978-94-009-2289-1_28.

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Florack, Luc, Tom Dela Haije, and Andrea Fuster. "Direction-Controlled DTI Interpolation." In Visualization and Processing of Higher Order Descriptors for Multi-Valued Data. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-15090-1_8.

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Mao, Bo, Jie Cao, Zhiang Wu, Guangyan Huang, and Jingjun Li. "Predicting Driving Direction with Weighted Markov Model." In Advanced Data Mining and Applications. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-35527-1_34.

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Peters, Jonas, Dominik Janzing, Arthur Gretton, and Bernhard Schölkopf. "Kernel Methods for Detecting the Direction of Time Series." In Advances in Data Analysis, Data Handling and Business Intelligence. Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-01044-6_5.

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Breckling, Jens. "Time Series Models for Directional Data." In The Analysis of Directional Time Series: Applications to Wind Speed and Direction. Springer New York, 1989. http://dx.doi.org/10.1007/978-1-4612-3688-7_6.

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Hou, Wenzhe, Xiang Zhao, and Wei Wang. "Cardinality Estimation of Subgraph Search Queries with Direction Learner." In Advanced Data Mining and Applications. Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-46677-9_6.

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Wang, Xiaopu, Yan Xiong, and Wenchao Huang. "Anti-multipath Indoor Direction Finding Using Acoustic Signal via Smartphones." In Big Data Computing and Communications. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-22047-5_11.

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Wiedermann, Wolfgang, and Bixi Zhang. "Direction of Dependence in Non-linear Models via Linearization." In Dependent Data in Social Sciences Research. Springer International Publishing, 2024. http://dx.doi.org/10.1007/978-3-031-56318-8_9.

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Chen, Yung-Lin. "Decision Making Based on Different Dimension Direction." In Trends in Applied Knowledge-Based Systems and Data Science. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-42007-3_59.

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Conference papers on the topic "Data direction"

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Su, Shelley, and Fauzia Ahmad. "Data-driven direction finding with distributed sparse arrays under calibration errors." In Machine Learning from Challenging Data 2025, edited by George Sklivanitis, Panagiotis (. Markopoulos, and Bing Ouyang. SPIE, 2025. https://doi.org/10.1117/12.3055279.

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Wang, Yizhe, Yuning Peng, Chenxi Liao, Min Wang, and Qing Shen. "Ziv-Zakai Bound for Wideband Single-Source Direction-of-Arrival Estimation." In 2024 IEEE International Conference on Signal, Information and Data Processing (ICSIDP). IEEE, 2024. https://doi.org/10.1109/icsidp62679.2024.10868000.

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Zhang, Qirui, Jun Wang, Bin Yang, and Xueyin Geng. "2D Direction of Arrival Estimation in Distributed Non-Coherent Array Radar." In 2024 IEEE International Conference on Signal, Information and Data Processing (ICSIDP). IEEE, 2024. https://doi.org/10.1109/icsidp62679.2024.10869151.

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Bister, Teresa, and Jonathan Biteau. "Prospects for constraining transient sources of UHECRs with arrival-direction data." In 7th International Symposium on Ultra High Energy Cosmic Rays. Sissa Medialab, 2025. https://doi.org/10.22323/1.484.0070.

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Zhang, Jingchuan, Yaxue Liu, Zhiming Dong, and Xianpeng Wang. "Accelerating the Decomposition-Based Multiobjective Evolutionary Algorithm via Evolutionary Direction Vector." In 2024 6th International Conference on Data-driven Optimization of Complex Systems (DOCS). IEEE, 2024. http://dx.doi.org/10.1109/docs63458.2024.10704289.

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Guo, Xincheng, Rongjuan Li, and Chen Huang. "Direction difference in terrain features extraction." In International Symposium on Spatial Analysis, Spatial-temporal Data Modeling, and Data Mining, edited by Yaolin Liu and Xinming Tang. SPIE, 2009. http://dx.doi.org/10.1117/12.838625.

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Ye, Zongze. "Fast Multi-direction Lane Detection." In 2021 2nd International Conference on Computing and Data Science (CDS). IEEE, 2021. http://dx.doi.org/10.1109/cds52072.2021.00059.

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Li, Guoliang, Jianhua Feng, and Jing Xu. "DESKS: Direction-Aware Spatial Keyword Search." In 2012 IEEE International Conference on Data Engineering (ICDE 2012). IEEE, 2012. http://dx.doi.org/10.1109/icde.2012.93.

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Das, Shome S. "Precise Pointing Direction Estimation using Depth Data." In 2018 27th IEEE International Symposium on Robot and Human Interactive Communication (RO-MAN). IEEE, 2018. http://dx.doi.org/10.1109/roman.2018.8525712.

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Liner, Christopher L., Gokay Bozhurt, and V. Dale Cox. "Shooting direction and crosswell seismic data acquisition." In SEG Technical Program Expanded Abstracts 1994. Society of Exploration Geophysicists, 1994. http://dx.doi.org/10.1190/1.1932088.

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Reports on the topic "Data direction"

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Orekhvo, D. O., and R. V. Khrunichev. Remote training course "data Analysis", training direction 38.03.05 " Business Informatics". OFERNIO, 2018. http://dx.doi.org/10.12731/ofernio.2018.23676.

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Narlock, Mikala, Jake Carlson, Wind Cowles, et al. Institutionally based research data services: Current developments and future direction. University of Minnesota Libraries Publishing, 2024. http://dx.doi.org/10.24926/2024.70098.

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Mulligan, R. P. M., A. F. Bajc, F. R. B. Brunton, et al. The Ontario Geological Survey's groundwater initiative: deliverables, data, derivatives and future direction. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 2018. http://dx.doi.org/10.4095/306557.

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Lyzenga, David R. Estimation of Ocean Surface Wind Speed and Direction From Polarimetric Radiometry Data. Defense Technical Information Center, 2008. http://dx.doi.org/10.21236/ada533831.

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Hoch, Brendon, and Samantha Cook. A 10-Year monthly climatology of wind direction : case-study assessment. Engineer Research and Development Center (U.S.), 2023. http://dx.doi.org/10.21079/11681/46912.

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A 10-year monthly climatology of wind direction in compass degrees is developed utilizing datasets from the National Oceanic Atmospheric Administration, Climate Forecast System. Data retrieval methodologies, numerical techniques, and scientific analysis packages to develop the climatology are explored. The report describes the transformation of input data in Gridded Binary format to the Geographic Tagged Image File Format to support geospatial analyses. The specific data sources, software tools, and data-verification techniques are outlined.
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Tandon, Samarth, Pablo Cazenave, and Ming Gao. PR-328-103602-R01 Improved Site-Selection Modeling by Correlating ILI with Operational-Geotechnical Data. Pipeline Research Council International, Inc. (PRCI), 2017. http://dx.doi.org/10.55274/r0010854.

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The primary objective of the research is to establish better correlations between SCC severity and operational and geotechnical characteristics, and to develop improved models for site-selection for SCCDA excavations, hydrostatic testing or in-line inspection (ILI). This report summarizes the modeling efforts and results, gaps and direction for future studies.
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Kwon, Jaymin, Yushin Ahn, and Steve Cheung. Spatio-Temporal Analysis of the Roadside Transportation-Related Air Quality (StarTraq 2022): Data-Driven Exposure Analysis by Transportation Modes. Mineta Transportation Institute, 2024. http://dx.doi.org/10.31979/mti.2024.2220.

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Particulate matter (PM) pollution poses significant health risks, influenced by various meteorological factors and seasonal variations. This study investigates the impact of temperature and other meteorological variables on PM10 and PM2.5 levels in Fresno County, known for high air pollution. Multiple linear regression (MLR) and generalized additive models (GAMs) assess the significance of these relationships. Analyzing data from Fresno County, we examine PM10 and PM2.5 levels across "hot" (June to August) and "cool" (September to May) seasons. Findings indicate PM10, both MLR and GAM models i
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Rene, Schubert. Computing the Meridional Overturning Circulation from NEMO Output. GEOMAR, 2021. http://dx.doi.org/10.3289/sw_3_2021.

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With this script, the Meridional Overturning Circulation (MOC) can be computed from NEMO ocean-model output for the whole globe or the Atlantic (AMOC), Indic (IMOC) and Pacific (PMOC) subbasins. The MOC is computable in z- and sigma coordinates. Moreover, for nested configurations, it is possible to combine data from both host and nest grids. Finally, it is possible to take into account of that the ORCA model grid is curvilinear north of 20°N: it is possible to compute the northward velocity component from the velocity field in x- and y- directions and to sum up the meridional flux over latitu
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Mohammadian, Abolfazl, Amir Bahador Parsa, Homa Taghipour, Amir Davatgari, and Motahare Mohammadi. Best Practice Operation of Reversible Express Lanes for the Kennedy Expressway. Illinois Center for Transportation, 2021. http://dx.doi.org/10.36501/0197-9191/21-033.

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Reversible lanes in Chicago’s Kennedy Expressway are an available infrastructure that can significantly improve traffic performance; however, a special focus on congestion management is required to improve their operation. This research project aims to evaluate and improve the operation of reversible lanes in the Kennedy Expressway. The Kennedy Expressway is a nearly 18-mile-long freeway in Chicago, Illinois, that connects in the southeast to northwest direction between the West Loop and O’Hare International Airport. There are two approximately 8-mile reversible lanes in the Kennedy Expressway
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Durovic, Mateja, and Franciszek Lech. A Consumer Law Perspective on the Commercialization of Data. Universitätsbibliothek J. C. Senckenberg, Frankfurt am Main, 2021. http://dx.doi.org/10.21248/gups.64577.

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Commercialization of consumers’ personal data in the digital economy poses serious, both conceptual and practical, challenges to the traditional approach of European Union (EU) Consumer Law. This article argues that mass-spread, automated, algorithmic decision-making casts doubt on the foundational paradigm of EU consumer law: consent and autonomy. Moreover, it poses threats of discrimination and under- mining of consumer privacy. It is argued that the recent legislative reaction by the EU Commission, in the form of the ‘New Deal for Consumers’, was a step in the right direction, but fell shor
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