Relevant bibliographies by topics / SciDB

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

Academic literature on the topic 'SciDB'

Author: Grafiati
Published: 9 September 2021
Last updated: 29 July 2025

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Journal articles on the topic "SciDB"

1

Cudre-Mauroux, P., H. Kimura, K. T. Lim, et al. "A demonstration of SciDB." Proceedings of the VLDB Endowment 2, no. 2 (2009): 1534–37. http://dx.doi.org/10.14778/1687553.1687584.

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Gerhardt, L., C. H. Faham, and Y. Yao. "Accelerating Scientific Analysis with SciDB." Journal of Physics: Conference Series 664, no. 7 (2015): 072019. http://dx.doi.org/10.1088/1742-6596/664/7/072019.

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Becla, Jacek, and Kian-Tat Lim. "Report from the SciDB Workshop." Data Science Journal 7 (2008): 88–95. http://dx.doi.org/10.2481/dsj.7.88.

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Joshi, A., E. Pebesma, R. Henriques, and M. Appel. "SCIDB BASED FRAMEWORK FOR STORAGE AND ANALYSIS OF REMOTE SENSING BIG DATA." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-5/W3 (December 5, 2019): 43–47. http://dx.doi.org/10.5194/isprs-archives-xlii-5-w3-43-2019.

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Abstract. Earth observation data of large part of the world is available at different temporal, spectral and spatial resolution. These data can be termed as big data as they fulfil the criteria of 3 Vs of big data: Volume, Velocity and Variety. The size of image in archives are multiple petabyte size, the size is growing continuously and the data have varied resolution and usages. These big data have variety of applications including climate change study, forestry application, agricultural application and urban planning. However, these big data also possess challenge of data storage, managemen
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Stonebraker, Michael, Paul Brown, Donghui Zhang, and Jacek Becla. "SciDB: A Database Management System for Applications with Complex Analytics." Computing in Science & Engineering 15, no. 3 (2013): 54–62. http://dx.doi.org/10.1109/mcse.2013.19.

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Yao, Yushu, Benjamin P. Bowen, Dalya Baron, and Dovi Poznanski. "SciDB for High-Performance Array-Structured Science Data at NERSC." Computing in Science & Engineering 17, no. 3 (2015): 44–52. http://dx.doi.org/10.1109/mcse.2015.43.

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Liu, Haicheng, and Xiao Xiao. "Comparing NetCDF and SciDB on managing and querying 5D hydrologic dataset." IOP Conference Series: Earth and Environmental Science 46 (November 2016): 012031. http://dx.doi.org/10.1088/1755-1315/46/1/012031.

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Liu, Haicheng, Peter van Oosterom, Theo Tijssen, Tom Commandeur, and Wen Wang. "Managing large multidimensional hydrologic datasets: A case study comparing NetCDF and SciDB." Journal of Hydroinformatics 20, no. 5 (2018): 1058–70. http://dx.doi.org/10.2166/hydro.2018.136.

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Abstract Management of large hydrologic datasets including storage, structuring, clustering, indexing, and query is one of the crucial challenges in the era of big data. This research originates from a specific problem: time series extraction at specific locations takes a long time when a large multidimensional (MD) dataset is stored in the NetCDF classic or the 64-bit offset format. The essence of this issue lies in the contiguous storage structure adopted by NetCDF. In this research, NetCDF file-based solutions and a MD array database management system applying a chunked storage structure ar
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Liu, Haicheng, Peter van Oosterom, Chengfang Hu, and Wen Wang. "Managing Large Multidimensional Array Hydrologic Datasets: A Case Study Comparing NetCDF and SciDB." Procedia Engineering 154 (2016): 207–14. http://dx.doi.org/10.1016/j.proeng.2016.07.449.

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Malon, D., J. Cranshaw, P. van Gemmeren, and Q. Zhang. "Emerging Database Technologies and Their Applicability to High Energy Physics: A First Look at SciDB." Journal of Physics: Conference Series 331, no. 4 (2011): 042016. http://dx.doi.org/10.1088/1742-6596/331/4/042016.

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Dissertations / Theses on the topic "SciDB"

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Anderson, Alan M. M. Eng Massachusetts Institute of Technology. "Remote data access and analysis using SciDB." Thesis, Massachusetts Institute of Technology, 2012. http://hdl.handle.net/1721.1/77076.

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Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2012.<br>Cataloged from PDF version of thesis.<br>Includes bibliographical references (p. 63).<br>SciDB is an innovative data analysis system that provides fast querying and manipulation of large amounts of time-series, scientific data. This thesis describes the design of a framework that provides a user interface to SciDB that facilitates interactive processing of large datasets and supports long-running batch jobs on a remote server or cluster. Using this interface, python user scri
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Planthaber, Gary Lee Jr. "MODBASE : a SciDB-powered system for large-scale distributed storage and analysis of MODIS earth remote sensing data." Thesis, Massachusetts Institute of Technology, 2012. http://hdl.handle.net/1721.1/77035.

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Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2012.<br>Cataloged from PDF version of thesis.<br>Includes bibliographical references (p. 80-81).<br>MODBASE, a collection of tools and practices built around the open source SciDB multidimensional data management and analytics software system, provides the Earth Science community with a powerful foundation for direct, ad-hoc analysis of large volumes of Level-1B data produced by the NASA Moderate Resolution Imaging Spectroradiometer (MODIS) instrument. This paper details the reasons
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Wang, Zhiyong. "Self-Calibrated Interferometric/Intensity Based Fiber Optic Temperature Sensors." Thesis, Virginia Tech, 2000. http://hdl.handle.net/10919/9690.

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To fulfill the objective of providing robust and reliable fiber optic temperature sensors capable of operating in harsh environments, a novel type of fiber optic sensor system titled self-calibrated interferometric/intensity-based (SCIIB) fiber optic temperature sensor system is presented in this thesis including the detailed research work on the principle analysis, design, modeling, implementation and performance evaluation of the system. The SCIIB fiber optic temperature sensor system shows us an innovative fiber optic sensor system compared with traditional fiber optic sensors. In addition
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Macht, Lisa. "Human autoantibody production in SCID mice." Thesis, University of Bristol, 1992. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.335368.

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Röther, Jens. "Die Rolle von Orai1 in der Entwicklung und Aktivierung von T- und B- Lymphozyten und die Bedeutung von Mutationen in Orai1 für die Pathogenese schwerer kombinierter Immundefekte." Doctoral thesis, Universitätsbibliothek Leipzig, 2011. http://nbn-resolving.de/urn:nbn:de:bsz:15-qucosa-70949.

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Ein durch „Ca2+ Release Activated Ca2+ (CRAC)“-Kanal vermittelter Ca2+-Einstrom ist unverzichtbar für die vollständige Aktivierung von T-Zellen und eine produktive Immunantwort. Im Jahr 2006 führte die Entdeckung des transmembranen Proteins Orai1, einer porenbildenden Untereinheit des CRAC-Kanals, zu einem besseren Verständnis dieses Signalweges. Eine Mutation in Orai1 hat durch die Aufhebung der CRAC-Kanal Funktion eine schwere kombinierte Immundefizienz (SCID) zur Folge (Feske, S. et al. 2006). Die im Rahmen dieser Arbeit präsentierten Experimente hatten die nähere Erforschung der Rolle von
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Pennycook, Jacqueline Louise Mitchell Hamilton. "Analysis of endogenous immunoglobulin gene rearrangement in the SCID mouse." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1997. http://www.collectionscanada.ca/obj/s4/f2/dsk2/ftp02/NQ27711.pdf.

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Abdul-Razak, Hayder. "Correction of the classical scid mouse mutation by gene repair." Thesis, Royal Holloway, University of London, 2013. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.588299.

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Gene addition strategies to correct inherited diseases are showing promise for treatment in the clinic, but an improved approach to treat both dominant and recessive genetic disorders would be to repair the mutant gene by homologous recombination-mediated gene targeting. Recently, gene targeting frequencies have dramatically increased through the development of (i) improved designer nuc1eases, including zinc finger nucleases (ZFN), able to introduce specific double-strand breaks at their target locus; and (ii) efficient DNA delivery tools, including integration-deficient lentiviral vectors (ID
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Motta, Fabiana Martins Batista. "A malaria experimental por Plasmodium chabaudi chabaudi em camundongo SCID." [s.n.], 2003. http://repositorio.unicamp.br/jspui/handle/REPOSIP/317908.

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Orientador: Ana Maria Aparecida Guaraldo<br>Dissertação (mestrado) - Universidade Estadual de Campinas, Instituto de Biologia<br>Made available in DSpace on 2018-08-03T22:32:49Z (GMT). No. of bitstreams: 1 Motta_FabianaMartinsBatista_M.pdf: 841034 bytes, checksum: 844c8cf19758150073cedaf1561d9483 (MD5) Previous issue date: 2003<br>Resumo: As células NK secretam as citoquinas INF-gama e TNF-alfa ¿ moléculas associadas com a resposta imune mediada por células do tipo Th1 ¿ em resposta a infecção por Plasmodium e ainda respondem à indução pela IL-12, conseguindo enfim, diminuir a mortalidade po
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Lowrey, Jacqueline Anne. "Transplantation of Hodgkin's and non-Hodgkin's lymphomas into SCID mice." Thesis, University of Edinburgh, 1996. http://hdl.handle.net/1842/20637.

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In an attempt to establish an <I>in vivo</I> animal model to study Hodgkin's disease (HD) and the histogenesis of the neoplastic cell of the disease - the Reed-Sternberg (RS) cell, and to study non-Hodgkin's lymphomas (NHL), severe combined immunodeficient (SCID) mice were transplanted with fresh biopsy material from 17 cases of HD and 25 cases of NHL. Five of the Hodgkin's (3 lymphocyte predominant, 1 nodular sclerosing and 1 mixed cellularity) and 7 of the non-Hodgkin's lymphomas (3 centroblastic, 1 immunoblastic, 1 follicular lymphoma and 2 biopsies from a case of B cell large cell anaplast
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Ahmed, Forhad. "Homing and engraftment of CD34+ cells in the NOD/SCID model." Thesis, University College London (University of London), 2005. http://discovery.ucl.ac.uk/1445284/.

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The reduced engraftment potential of haemopoietic stem/progenitor cells after exposure to cytokines may be related to the impaired homing ability of actively cycling cells. I tested this hypothesis by quantifying the short-term homing of human adult CD34+ cells in NOD/SCID animals. I have demonstrated in adult CD34+ cells that cytokine exposure ex-vivo leads to a loss of engraftment ability in vivo which occurs rapidly and which is associated with a striking alteration in the tissue distribution of homed cells. Loss of homing to the BM and to a lesser extent, the spleen, coincides with increas
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Books on the topic "SciDB"

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Bosma, Melvin J., Robert A. Phillips, and Walter Schuler, eds. The Scid Mouse. Springer Berlin Heidelberg, 1989. http://dx.doi.org/10.1007/978-3-642-74974-2.

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Roncarolo, Maria-Grazia, Bruno Péault, and Reiko Namikawa. Human Hematopoiesis in SCID Mice. Springer Berlin Heidelberg, 1995. http://dx.doi.org/10.1007/978-3-662-22008-5.

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Maria-Grazia, Roncarolo, Péault Bruno, and Namikawa Reiko, eds. Human hematopoiesis in SCID mice. Springer-Verlag, 1995.

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Liberti, Rocco. Memorie storiche di Scido, Santa Giorgìa, Cuzzapòdine. Laruffa, 1990.

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Bosma, M. J. The Scid Mouse: Characterization and Potential Uses. Springer Berlin Heidelberg, 1989.

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Rajasenan, Ruth Shirani. Anticonvulsant-induced (neo)antigen expression in SCID mice. National Library of Canada, 1994.

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Pennycook, Jacqueline Louise Mitchell Hamilton. Analysis of endogenous immunoglobulin gene rearrangement in the SCID mouse. National Library of Canada = Bibliothèque nationale du Canada, 1997.

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L, Spitzer Robert, and National Institute of Mental Health (U.S.), eds. User's guide for the Structured clinical interview for DSM-III-R: SCID. American Psychiatric Press, 1990.

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Steinberg, Marlene. Structured clinical interview for DSM-IV dissociative disorders (SCID-D): Marlene Steinberg. American Psychiatric Press, 1994.

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Shpitz, Baruch. An improved SCID mouse model for adoptive transfer of functional human lymphocytes. National Library of Canada = Bibliothèque nationale du Canada, 1995.

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Book chapters on the topic "SciDB"

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Cudre-Mauroux, Philippe. "SciDB." In Encyclopedia of Big Data Technologies. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-319-63962-8_271-2.

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Cudre-Mauroux, Philippe. "SciDB." In Encyclopedia of Big Data Technologies. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-63962-8_271-1.

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Cudre-Mauroux, Philippe. "SciDB." In Encyclopedia of Big Data Technologies. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-319-77525-8_271.

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Stonebraker, Michael, Paul Brown, Alex Poliakov, and Suchi Raman. "The Architecture of SciDB." In Lecture Notes in Computer Science. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-22351-8_1.

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Cattani, Simone, Stefano Ceri, Abdulrahman Kaitoua, and Pietro Pinoli. "Evaluating Genomic Big Data Operations on SciDB and Spark." In Lecture Notes in Computer Science. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-60131-1_34.

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Mehlhorn, Heinz. "SCID." In Encyclopedia of Parasitology. Springer Berlin Heidelberg, 2016. http://dx.doi.org/10.1007/978-3-662-43978-4_5090.

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Mehlhorn, Heinz. "SCID." In Encyclopedia of Parasitology. Springer Berlin Heidelberg, 2015. http://dx.doi.org/10.1007/978-3-642-27769-6_5090-1.

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Leung, Alexander K. C., Cham Pion Kao, Andrew L. Wong, et al. "SCID." In Encyclopedia of Molecular Mechanisms of Disease. Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-540-29676-8_6795.

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Shultz, Leonard D., Peter A. Schweitzer, Elaine J. Hall, John P. Sundberg, Suzanne Taylor, and Peter D. Walzer. "Pneumocystis carinii Pneumonia in scid/scid Mice." In Current Topics in Microbiology and Immunology. Springer Berlin Heidelberg, 1989. http://dx.doi.org/10.1007/978-3-642-74974-2_29.

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Péault, Bruno. "Landmarks in the Unnatural History of SCID-hu Mice." In Human Hematopoiesis in SCID Mice. Springer Berlin Heidelberg, 1995. http://dx.doi.org/10.1007/978-3-662-22008-5_1.

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Conference papers on the topic "SciDB"

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Brown, Paul G. "Overview of sciDB." In the 2010 international conference. ACM Press, 2010. http://dx.doi.org/10.1145/1807167.1807271.

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Kim, Sangchul, Junhee Lee, Taehoon Kim, and Bongki Moon. "Scalable parallel data loading in SciDB." In 2017 IEEE International Conference on Big Data (Big Data). IEEE, 2017. http://dx.doi.org/10.1109/bigdata.2017.8258331.

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Samsi, Siddharth, Laura Brattain, William Arcand, et al. "Benchmarking SciDB data import on HPC systems." In 2016 IEEE High Performance Extreme Computing Conference (HPEC). IEEE, 2016. http://dx.doi.org/10.1109/hpec.2016.7761617.

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Kim, Sangchul, Seoung Gook Sohn, Taehoon Kim, Jinseon Yu, Bogyeong Kim, and Bongki Moon. "Selective Scan for Filter Operator of SciDB." In SSDBM '16: Conference on Scientific and Statistical Database Management. ACM, 2016. http://dx.doi.org/10.1145/2949689.2949707.

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Soroush, Emad, Magdalena Balazinska, Simon Krughoff, and Andrew Connolly. "Efficient iterative processing in the SciDB parallel array engine." In SSDBM 2015: International Conference on Scientific and Statistical Database Management. ACM, 2015. http://dx.doi.org/10.1145/2791347.2791362.

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Oloso, Amidu, Kwo-Sen Kuo, Thomas Clune, Paul Brown, Alex Poliakov, and Hongfeng Yu. "Implementing connected component labeling as a user defined operator for SciDB." In 2016 IEEE International Conference on Big Data (Big Data). IEEE, 2016. http://dx.doi.org/10.1109/bigdata.2016.7840945.

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Xing, Haoyuan, Sofoklis Floratos, Spyros Blanas, et al. "ArrayBridge: Interweaving Declarative Array Processing in SciDB with Imperative HDF5-Based Programs." In 2018 IEEE 34th International Conference on Data Engineering (ICDE). IEEE, 2018. http://dx.doi.org/10.1109/icde.2018.00092.

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Rivers, Jonathan. "SciDB: An array-native computational database for heterogeneous, multi-dimensional data sets." In 2017 IEEE International Conference on Big Data (Big Data). IEEE, 2017. http://dx.doi.org/10.1109/bigdata.2017.8258301.

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Mhana, Mohammad Abu, Ala' Khalifeh, and Sahel Alouneh. "Performance Comparison of Big Data Processing Utilizing SciDB and Apache Accumulo Databases." In 2022 Seventh International Conference on Fog and Mobile Edge Computing (FMEC). IEEE, 2022. http://dx.doi.org/10.1109/fmec57183.2022.10062513.

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Lustosa, Hermano, Fábio Porto, and Patrick Valduriez. "SAVIME: A Database Management System for Simulation Data Analysis and Visualization." In XXXIV Simpósio Brasileiro de Banco de Dados. Sociedade Brasileira de Computação - SBC, 2019. http://dx.doi.org/10.5753/sbbd.2019.8810.

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Limitations in current DBMSs prevent their wide adoption in scientific applications. In order to make scientific applications benefit from DBMS support, enabling declarative data analysis and visualization over scientific data, we present an in-memory array DBMS system called SAVIME. In this work we describe the system SAVIME, along with its data model. Our preliminary evaluation shows how SAVIME, by using a simple storage definition language (SDL) can outperform the state-of-the-art array database system, SciDB, during the process of data ingestion. We also show that is possible to use SAVIME
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Reports on the topic "SciDB"

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Becla, Jack, Daniel Wang, and Kian-Tat lim. Using SciDB to Support Photon Science Data Analysis. Office of Scientific and Technical Information (OSTI), 2012. http://dx.doi.org/10.2172/1035090.

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Li, Xiao-Nan. Harnessing Autopsied DIPG Tumor Tissues for Orthotopic Xenograft Model Development in the Brain Stems of SCID Mice. Defense Technical Information Center, 2012. http://dx.doi.org/10.21236/ada568355.

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