Relevant bibliographies by topics / Scientific data collection and graphing

Contents

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

Academic literature on the topic 'Scientific data collection and graphing'

Author: Grafiati
Published: 4 June 2021
Last updated: 16 February 2022

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Journal articles on the topic "Scientific data collection and graphing"

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Roth, Wolff-Michael. "Emergence of Graphing Practices in Scientific Research." Journal of Cognition and Culture 4, no. 3-4 (2004): 595–627. http://dx.doi.org/10.1163/1568537042484940.

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AbstractGraphing has long counted as one of the quintessential process skills that scientists apply independently of particular situations. However, recent expert/expert studies showed that when asked to interpret graphs culled from undergraduate courses of their own disciplines, scientists were far from perfect in providing interpretations that a course instructor would have accepted as correct. Drawing on five years of fieldwork, the present study was designed to investigate graphs and graph-related skills in scientific research. In addition to the fieldwork, a think-aloud protocol was used to elicit scientists' graph interpretations both on familiar and unfamiliar graphs. The analyses show that graph-related skills such as perceiving relevant graphical detail and interpreting the source of this detail emerge in the research process and are related to the scientists' increasing familiarity with a research object, instrumentation, and their understanding of the transformation process that turns raw data into graphs. When scientists do not know the natural object represented in a graph and are unfamiliar with the details of the corresponding data collection protocol, they often focus on graphical features that do not pertain to the phenomenon represented and therefore do not arrive at the correct interpretations. Based on these data, it is proposed that graphs are not only the outcomes of scientific research but also, in important ways, constitute representations that bear metonymic relations to the research context, most importantly to instrumentation, natural phenomenon, and the mathematical transformations used to produce the graphs from the raw data. I draw on the semantics of symbolic systems for articulating competencies and breakdowns in scientists' graphing-related practices.
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Harsh, Joseph A., and Mikaela Schmitt-Harsh. "Instructional Strategies to Develop Graphing Skills in the College Science Classroom." American Biology Teacher 78, no. 1 (January 1, 2016): 49–56. http://dx.doi.org/10.1525/abt.2016.78.1.49.

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Given the importance of succinctly communicating complex information, proficiency in graphing is a central element of scientific literacy. Evidence indicates that learners of all ages and levels of expertise have difficulties in displaying and reading visual data. Numerous studies have investigated the enactment of various activities to improve graphing in the college science classroom, but most of this work has focused on graphing difficulties and the implications of general instructional strategies as part of a semester-long curriculum. Few studies have discussed how specific interventions can be implemented to effectively hone graphing abilities. We evaluated (1) five key instructional features of an inquiry-oriented stream-ecology unit that consisted of data collection and graphing and (2) the unit's impact on non–science majors' analytical skills. Comparing pretest and posttest data, as well as a supplemental questionnaire, student responses demonstrated substantial positive impacts on graphing skills and attitudes toward graphing. The results also highlighted features of the unit that were considered successful. Although we a describe a particular stream-ecology activity, the framework and design features we present can be applied to other case studies and across disciplines.
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Swift, Mary L. "GraphPad Prism, Data Analysis, and Scientific Graphing." Journal of Chemical Information and Computer Sciences 37, no. 2 (March 1997): 411–12. http://dx.doi.org/10.1021/ci960402j.

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Prentha, Abbas. "Peningkatan kemampuan komunikasi matematis tertulis melalui pendekatan Saintifik pada materi trigonometri bagi Siswa Kelas X MAN 1 Flores Timur." AKSIOMA : Jurnal Matematika dan Pendidikan Matematika 12, no. 1 (April 20, 2021): 69–79. http://dx.doi.org/10.26877/aks.v12i1.5999.

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AbstrakPenelitian ini bertujuan untuk meningkatkan kemampuan komunikasi matematis tertulis siswa melalui pendekatan saintifik. Pelaksanaan tindakan kelas dilaksanakan dalam dua siklus. Subyek penelitian ini adalah siswa kelas X MIA1 MAN Flores Timur berjumlah 32 siswa terdiri dari 13 laki-laki dan 19 perempuan. Pengumpulan data saat penelitian dilakukan dengan cara observasi, catatan lapangan, dan dokumentasi. Teknik analisis data yang digunakan peneliti adalah reduksi data, penyajian data, dan penarikan kesimpulan. Hasil penelitian menunjukkan adanya peningkatan komunikasi matematika melalui pendekatan saintifik dengan indikator 1) Menyatakan ide matematis melalui tulisan, gambar, grafik atau tabel sebelum 18,75% sesudah 87,5%, 2) Memahami, menafsirkan dan mengevaluasi ide-ide matematis yang disajikan secara tertulis sebelum 28,125% sesudah 84,375%, 3) Menghubungkan berbagai ide matematis yang disajikan secara tertulis menggunakan istilah-istilah atau symbol matematika secara tepat untuk menyelesaikan permasalahan matematika dengan langkah-langkah yang terstruktur sebelum 6,25% dan sesudah 75%. Dari tiap indikator terdapat peningkatan komunikasi matematika siswa dengan pendekatan saintifik bagi siswa kelas X MIA1 MAN Flores Timur.Kata kunci: komunikasi matematis, komunikasi matematis tertulis; pendekatan saintifik; perbandingan trigonometri AbstractThe study aims to improve students’ written mathematical communication skills through a scientific approach. Classroom action was carried out in two cycles. The subjects of this study were students of class X MIA1 MAN Flores Timur, totaling 32 students consisting of 13 men and 19 women. Data collection methods when research using observations, field notes, and documentation. Data analysis techniques used by researchers are data reduction, data presentation, and concluding. The result showed an increase in mathematical communication through a scientific approach with indicators 1) Express mathematical ideas through writing, pictures, graphics or tables before 18.75% after 87.5%, 2) understanding, interpreting and evaluation mathematical ideas presented in the text previously 28.125% and after 84.375%, 3) connection mathematical ideas presented in writing using mathematical terms or symbols appropriately to solve the mathematical problem with structured steps before 6.25% after 75%. From each indicator, there is an increase in students’ mathematical communication with a scientific approach for students of class X MIA1 MAN Flores Timur.Keywords: mathematical communication; written mathematical communication; scientific approach; trigonometric comparison
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Edwards, Phillip M. "Origin 7.0: Scientific Graphing and Data Analysis Software." Journal of Chemical Information and Computer Sciences 42, no. 5 (September 2002): 1270–71. http://dx.doi.org/10.1021/ci0255432.

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Pignolet-Brandom, S., and K. J. Reid. "Quantitative evaluation of materials by scanning electron microscopy." Proceedings, annual meeting, Electron Microscopy Society of America 46 (1988): 674–75. http://dx.doi.org/10.1017/s0424820100105436.

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QEM*SEM, or quantitative evaluation of materials by scanning electron microscopy, is a fully automated scanning electron microscope system that was designed and engineered by CSIRO in Australia for applications to the minerals industry. It is an integrated system in which the computer and its associated hardware and software control SEM operations. Minerals can be identified in point, linear or area scans. Depending on the type of scan, information is extracted from the data files and summarized in tables and graphs covering mineral abudances, associations, sizes, free surface area and the degree of liberation. In addition, area scans can be replayed on a graphics monitor to produce QEM*SEM mineral species maps.The QEM*SEM system consists of an International Scientific Instruments SX-40 scanning electron microscope with a specially designed sample chamber that permits 100 mm movement of the stage. The EDS units were designed for rapid collection of x-ray spectra and consist of four lithium drifted silicon detectors each with a separate preamplifier.
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Seifert, E. "OriginPro 9.1: Scientific Data Analysis and Graphing Software—Software Review." Journal of Chemical Information and Modeling 54, no. 5 (April 25, 2014): 1552. http://dx.doi.org/10.1021/ci500161d.

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Tarasova, Nataliya, and Tatyana Panyukova. "Semantics and Ideography of Dostoevsky's Handwritten Text: from Handwriting to Meaning." Неизвестный Достоевский 7, no. 4 (December 2020): 222–91. http://dx.doi.org/10.15393/j10.art.2020.5081.

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The paper analyzes the material from two workbooks (1864–1867) that belonged to Feodor Dostoevsky (Russian State Archive of Literature and Art. Collection 212, inventory 1, storage units 4 and 5). The research was conducted in three main areas: selection of information for the letter style alphabet; comparative analysis of sources (manuscripts and publications of handwritten text) for the purpose of identifying and correcting errors in its reading; a review of calligraphy and graphics of Feodor Dostoevsky. The alphabet of letter styles allows to establish typical and atypical letter styles in the handwriting of Feodor Dostoevsky. This made it possible to compile a classification of letters, describe their features, and use this information in the study of difficult-to-read and previously undecipherable records. The latter may contain valuable information that allows to clarify the facts in the creative history of the works of Feodor Dostoevsky, biographical information, chronology of the creative process, and so on. The second area of research includes the comparative analysis of manuscript sources and their published versions — is of particular value for ascertaining the original author's text and eliminating the inaccuracies of research interpretations that often appear in the process of manuscript publishing. There is a direct connection between these areas of analysis — the letter style alphabet is a tool that allows to read the handwritten text more accurately and correct the mistakes of the publishers. The third direction, dedicated to the study of calligraphy, expands the range of tasks related to the study of graphics in the writer's texts and allows to draw preliminary conclusions about the nature of its function in the handwritten text. The scientific novelty of the work consists in the systematization of data on the writer's handwriting in manuscripts of the specified period, on the features of his creative work, and in correcting the errors made by publishers of handwritten materials and restoring the true meaning of the author's notes. The practical value of the work consists in collecting information about the writer's handwriting, which is relevant for the textual analysis of his works, publication of his texts, and use of the collected information for subsequent scientific work.
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Lee, Mi Yeon. "Using Weather to Teach Graphing." Teaching Children Mathematics 21, no. 4 (November 2014): 249–53. http://dx.doi.org/10.5951/teacchilmath.21.4.0249.

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This multipurpose activity can be used in STEM education with elementary school students to reinforce scientific concepts of such weather components as temperature, precipitation, clouds, and wind by integrating manipulation of online apps (technology), knowledge of graphing and data analysis (mathematics), and creation of a wind vane (engineering). iSTEM: Integrating Science Technology Engineering in the Mathematics authors share ideas and activities that stimulate student interest in the integrated fields of science, technology, engineering, and mathematics (STEM) in K—grade 6 classrooms.
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Mittag, Kathleen Cage, and Sharon Taylor. "Activities for Students: As the Ball Rolls: A Quadratic Investigation Using Multiple Representations." Mathematics Teacher 103, no. 1 (August 2009): 62–68. http://dx.doi.org/10.5951/mt.103.1.0062.

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Using activities to create and collect data is not a new idea. Teachers have been incorporating real-world data into their classes since at least the advent of the graphing calculator. Plenty of data collection activities and data sets exist, and the graphing calculator has made modeling data much easier. However, the authors were in search of a better physical model for a quadratic. We wanted students to see an actual parabola take shape in real time and then explore its characteristics, but we could not find such a hands-on model.
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Dissertations / Theses on the topic "Scientific data collection and graphing"

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Keller, Stacy. "LEVELS OF LINE GRAPH QUESTION INTERPRETATION WITH INTERMEDIATE ELEMENTARY STUDENTS OF VARYING SCIENTIFIC AND MATHEMATICAL KNOWLE." Doctoral diss., University of Central Florida, 2008. http://digital.library.ucf.edu/cdm/ref/collection/ETD/id/3371.

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This study examined how intermediate elementary students' mathematics and science background knowledge affected their interpretation of line graphs and how their interpretations were affected by graph question levels. A purposive sample of 14 6th-grade students engaged in think aloud interviews (Ericsson & Simon, 1993) while completing an excerpted Test of Graphing in Science (TOGS) (McKenzie & Padilla, 1986). Hand gestures were video recorded. Student performance on the TOGS was assessed using an assessment rubric created from previously cited factors affecting students' graphing ability. Factors were categorized using Bertin's (1983) three graph question levels. The assessment rubric was validated by Padilla and a veteran mathematics and science teacher. Observational notes were also collected. Data were analyzed using Roth and Bowen's semiotic process of reading graphs (2001). Key findings from this analysis included differences in the use of heuristics, self-generated questions, science knowledge, and self-motivation. Students with higher prior achievement used a greater number and variety of heuristics and more often chose appropriate heuristics. They also monitored their understanding of the question and the adequacy of their strategy and answer by asking themselves questions. Most used their science knowledge spontaneously to check their understanding of the question and the adequacy of their answers. Students with lower and moderate prior achievement favored one heuristic even when it was not useful for answering the question and rarely asked their own questions. In some cases, if students with lower prior achievement had thought about their answers in the context of their science knowledge, they would have been able to recognize their errors. One student with lower prior achievement motivated herself when she thought the questions were too difficult. In addition, students answered the TOGS in one of three ways: as if they were mathematics word problems, science data to be analyzed, or they were confused and had to guess. A second set of findings corroborated how science background knowledge affected graph interpretation: correct science knowledge supported students' reasoning, but it was not necessary to answer any question correctly; correct science knowledge could not compensate for incomplete mathematics knowledge; and incorrect science knowledge often distracted students when they tried to use it while answering a question. Finally, using Roth and Bowen's (2001) two-stage semiotic model of reading graphs, representative vignettes showed emerging patterns from the study. This study added to our understanding of the role of science content knowledge during line graph interpretation, highlighted the importance of heuristics and mathematics procedural knowledge, and documented the importance of perception attentions, motivation, and students' self-generated questions. Recommendations were made for future research in line graph interpretation in mathematics and science education and for improving instruction in this area.
Ed.D.
Department of Educational Studies
Education
Curriculum and Instruction EdD
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Cheng, Lu. "Concentric layout, a new scientific data layout for matrix data set in Hadoop file system." Master's thesis, University of Central Florida, 2010. http://digital.library.ucf.edu/cdm/ref/collection/ETD/id/4545.

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The data generated by scientific simulation, sensor, monitor or optical telescope has increased with dramatic speed. In order to analyze the raw data speed and space efficiently, data pre-process operation is needed to achieve better performance in data analysis phase. Current research shows an increasing tread of adopting MapReduce framework for large scale data processing. However, the data access patterns which generally applied to scientific data set are not supported by current MapReduce framework directly. The gap between the requirement from analytics application and the property of MapReduce framework motivates us to provide support for these data access patterns in MapReduce framework. In our work, we studied the data access patterns in matrix files and proposed a new concentric data layout solution to facilitate matrix data access and analysis in MapReduce framework. Concentric data layout is a data layout which maintains the dimensional property in chunk level. Contrary to the continuous data layout which adopted in current Hadoop framework by default, concentric data layout stores the data from the same sub-matrix into one chunk. This matches well with the matrix operations like computation. The concentric data layout preprocesses the data beforehand, and optimizes the afterward run of MapReduce application. The experiments indicate that the concentric data layout improves the overall performance, reduces the execution time by 38% when the file size is 16 GB, also it relieves the data overhead phenomenon and increases the effective data retrieval rate by 32% on average.
ID: 029051151; System requirements: World Wide Web browser and PDF reader.; Mode of access: World Wide Web.; Thesis (M.S.)--University of Central Florida, 2010.; Includes bibliographical references (p. 56-58).
M.S.
Masters
Department of Electrical Engineering and Computer Science
Engineering
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Drury, William B. "A data collection system for the study of RF interference from industrial, scientific, and medical equipment." Ohio : Ohio University, 1986. http://www.ohiolink.edu/etd/view.cgi?ohiou1183129782.

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Flaspohler, Genevieve Elaine. "Statistical models and decision making for robotic scientific information gathering." Thesis, Massachusetts Institute of Technology, 2018. http://hdl.handle.net/1721.1/120607.

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Thesis: S.M., Joint Program in Applied Ocean Physics and Engineering (Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science; and the Woods Hole Oceanographic Institution), 2018.
This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.
Cataloged from student-submitted PDF version of thesis.
Includes bibliographical references (pages 97-107).
Mobile robots and autonomous sensors have seen increasing use in scientific applications, from planetary rovers surveying for signs of life on Mars, to environmental buoys measuring and logging oceanographic conditions in coastal regions. This thesis makes contributions in both planning algorithms and model design for autonomous scientific information gathering, demonstrating how theory from machine learning, decision theory, theory of optimal experimental design, and statistical inference can be used to develop online algorithms for robotic information gathering that are robust to modeling errors, account for spatiotemporal structure in scientific data, and have probabilistic performance guarantees. This thesis first introduces a novel sample selection algorithm for online, irrevocable sampling in data streams that have spatiotemporal structure, such as those that commonly arise in robotics and environmental monitoring. Given a limited sampling capacity, the proposed periodic secretary algorithm uses an information-theoretic reward function to select samples in real-time that maximally reduce posterior uncertainty in a given scientific model. Additionally, we provide a lower bound on the quality of samples selected by the periodic secretary algorithm by leveraging the submodularity of the information-theoretic reward function. Finally, we demonstrate the robustness of the proposed approach by employing the periodic secretary algorithm to select samples irrevocably from a seven-year oceanographic data stream collected at the Martha's Vineyard Coastal Observatory off the coast of Cape Cod, USA. Secondly, we consider how scientific models can be specified in environments - such as the deep sea or deep space - where domain scientists may not have enough a priori knowledge to formulate a formal scientific model and hypothesis. These domains require scientific models that start with very little prior information and construct a model of the environment online as observations are gathered. We propose unsupervised machine learning as a technique for science model-learning in these environments. To this end, we introduce a hybrid Bayesian-deep learning model that learns a nonparametric topic model of a visual environment. We use this semantic visual model to identify observations that are poorly explained in the current model, and show experimentally that these highly perplexing observations often correspond to scientifically interesting phenomena. On a marine dataset collected by the SeaBED AUV on the Hannibal Sea Mount, images of high perplexity in the learned model corresponded, for example, to a scientifically novel crab congregation in the deep sea. The approaches presented in this thesis capture the depth and breadth of the problems facing the field of autonomous science. Developing robust autonomous systems that enhance our ability to perform exploratory science in environments such as the oceans, deep space, agricultural and disaster-relief zones will require insight and techniques from classical areas of robotics, such as motion and path planning, mapping, and localization, and from other domains, including machine learning, spatial statistics, optimization, and theory of experimental design. This thesis demonstrates how theory and practice from these diverse disciplines can be unified to address problems in autonomous scientific information gathering.
by Genevieve Elaine Flaspohler.
S.M.
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Karlström, Daniel. "Implementation of data-collection tools using NetFlow for statistical analysis at the ISP level." Thesis, Mälardalens högskola, Akademin för innovation, design och teknik, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-16140.

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Defending against Dos- and DDoS attacks is difficult to accomplish; finding and filtering out illegitimate traffic from the legitimate flow is near impossible. Taking steps to mitigate or even block the traffic can only be done once the IP addresses of the attackers are known. This is achievable by monitoring the flows to- and from the target and identifying the attacker's IP addresses, allowing the company or their ISP to block the addresses itself by blackholing them (also known as a null route). Using the IP accounting and monitoring tool “pmacct”, this thesis aims to investigate whether or not the pmacct suite is suited for larger installations when tracking and mitigating DDoS-attacks, such at an Internet Service Provider (ISP). Potential problems are the amount of traffic that need to be analyzed and the computational power required to do it. This thesis also provide information about the pmacct suite at large. The conclusions are positive, indicating it does scale up to handle larger installations when given careful consideration and planning.
Att försvara sig mot DoS-och DDoS-attacker är svårt att åstadkomma; att hitta och filtrera ut illegitim trafik från det legitima flödet är nästan omöjligt. Att vidta åtgärder när en sådan attack upptäcks kan endast göras när IP-adresserna från angriparna är kända. Detta kan uppnås genom att man övervakar trafikflödet mellan målet för attacken och angriparna och ser vilka som sänder mest data och på så sätt identifierar angriparna.. Detta tillåter företaget eller dess ISP att blockera trafiken ifrån dessa IP-adresser genom att sända trafiken vidare till ingenstans. Detta kallas blackhole-routing eller null-routing. Genom att använda redovisnings- och övervakningsprogrammet pmacct syftar denna uppsats på att undersöka hurvida pmacct-sviten är lämpad för större installationer när det gäller att spåra och förhindra DDoS-attacker, såsom hos en Internetleverantör eller dylikt. Potentialla problem som kan uppstå är att mängden trafik som måste analyserar blir för stor och för krävande. Denna avhandling går även igenom pmacct-verktyget i sig. Slutsatserna är lovande, vilket indikerar att den har potential av att kunna hantera sådana stora miljöer med noggrann planering.
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Reisenhofer, Matthew Phillip. "A comparative analysis of three manufacturers of science probeware for the classroom." CSUSB ScholarWorks, 2006. https://scholarworks.lib.csusb.edu/etd-project/3035.

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Evaluates and assesses the probes and associated probeware of three manufacturers using a variety of criteria that are essential information for a consumer. The probes and probeware examined include Pasco Scientific's ScienceWorkshop, Venier's LabPro, and Onset's HOBO. Three experiments were used to test each of the criteria for comparison. Based on the data in the study no manufacturer proved themselves to be clearly the best, and taken collectively the benefits and drawbacks balance out.
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Books on the topic "Scientific data collection and graphing"

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Gitcher poop in a group. Sandy, Utah: Loose in the Lab, Inc., 2003.

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United States. Congress. House. Committee on Science. U.S. global change research programs: Data collection and scientific priorities : hearing before the Committee on Science, U.S. House of Representatives, One Hundred Fourth Congress, second session, March 6, 1996. Washington: U.S. G.P.O., 1996.

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Science, United States Congress House Committee on. U.S. global change research programs: Data collection and scientific priorities : hearing before the Committee on Science, U.S. House of Representatives, One Hundred Fourth Congress, second session, March 6, 1996. Washington: U.S. G.P.O., 1996.

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Transforming Functions to Fit Data: Mathematical Explorations Using Probes, Electronic Data-Collection Devices, and Graphing Calculators. Key Curriculum Pr, 1998.

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Winter, Mary Jean, and Ronald J. Carlson. Transforming Functions to Fit Data: Mathematical Explorations Using Probes, Electronic Data-Collection Devices, and Graphing Calculators. Key Curriculum Press, 1997.

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K, Reynard, and Aslib, eds. Data activities: A guide to scientific and technical data collection in the UK. London: Aslib, 1993.

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Peckham, David John. Validation of a method for rapid collection and processing of isokinetic data. 1988.

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Validation of a method for rapid collection and processing of isokinetic data. 1988.

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Validation of a method for rapid collection and processing of isokinetic data. 1988.

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Lipka, Jerry. Picking Berries: Connections Between Data Collection, Graphing, and Measuring (Math in a Cultural Context: Lessons Learned from Yup'ik Eskimo Elders). Detselig Enterprises Ltd., 2005.

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Book chapters on the topic "Scientific data collection and graphing"

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Thomas, C. George. "Collection and Analysis of Data." In Research Methodology and Scientific Writing, 135–67. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-64865-7_6.

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Qin, Jun, and Thomas Fahringer. "Collection-Oriented Data Flow Support for Scientific Workflows." In Scientific Workflows, 93–111. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-30715-7_6.

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Rihan, Dominic, Sven S. Uhlmann, Clara Ulrich, Mike Breen, and Tom Catchpole. "Requirements for Documentation, Data Collection and Scientific Evaluations." In The European Landing Obligation, 49–68. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-03308-8_3.

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Altintas, Ilkay, Oscar Barney, and Efrat Jaeger-Frank. "Provenance Collection Support in the Kepler Scientific Workflow System." In Provenance and Annotation of Data, 118–32. Berlin, Heidelberg: Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11890850_14.

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McPhillips, Timothy, Shawn Bowers, and Bertram Ludäscher. "Collection-Oriented Scientific Workflows for Integrating and Analyzing Biological Data." In Lecture Notes in Computer Science, 248–63. Berlin, Heidelberg: Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11799511_23.

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Charvát, Karel, and Michal Kepka. "Crowdsourced Data." In Big Data in Bioeconomy, 63–67. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-71069-9_5.

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AbstractCrowdsourcing together with Volunteered Geographic Information (VGI) are currently part of a broader concept – Citizens Science. The methods provide information on existing geospatial data or is a part of data collection from geolocated devices. They enable opening parts of scientific work to the general public. DataBio Crowdsourcing Solution is a combination of the SensLog server platform and HSLayers web and mobile applications. SensLog is a server system for managing sensor data, volunteered geographic information and other geospatial data. Web and mobile applications are used to collect and visualize SensLog data. SensLog data model builds on the Observations & Measurements conceptual model from ISO 19156 and includes additional sections, e.g., for user authentication or volunteered geographic information (VGI) collection. It uses PostgreSQL database with PostGIS for data storage and several API endpoints.
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Pankov, Pavel, Igor Nikiforov, and Yufeng Zhang. "Hardware and Software System for Collection, Storage and Visualization Meteorological Data from a Weather Stand." In Proceedings of International Scientific Conference on Telecommunications, Computing and Control, 37–48. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-33-6632-9_4.

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Durner, Edward F. "Introduction to plant science research and experimentation." In Applied plant science experimental design and statistical analysis using the SAS® OnDemand for Academics, 1–5. Wallingford: CABI, 2021. http://dx.doi.org/10.1079/9781789249927.0001.

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Abstract This chapter provides an introduction to plant science research and experimentation. Plant science research is an organized investigation using the scientific method to increase knowledge regarding some aspect of plant biology. It requires the collection, analysis and interpretation of data, which are obtained from one of three sources: observational studies, sample surveys and comparative experiments. The purpose of this book is to provide researchers with appropriate tools for implementing, managing and analyzing their experiments. This is accomplished by teaching Statistical Analysis Sytsem (SAS®) and illustrating why specific procedures fit specific research situations.
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Mendes, Maria Manuela, and Olga Magano. "Educational Situation of Portuguese Ciganos: Social Changes versus Social Continuities." In Social and Economic Vulnerability of Roma People, 19–38. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-52588-0_2.

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AbstractThe purpose of this chapter is to present and discuss the main impacts of Portuguese public policies in the area of education in Portugal, since 25 April 1974. To this end, diversified information was collected, processed and analysed involving legal and other documents about these national policies, especially those of greater impact on Ciganos, in addition to thorough mapping of ongoing projects of local and social support in the Lisbon and Porto metropolitan areas, where the empirical research is being carried out. At a later stage, interviews were held with technical staff, project coordinators and local institutions, as well as Ciganos and their families. The purpose of using various data collection techniques is to capture the reality experienced by Cigano individuals and families, namely patterns of continuity and social change, particularly in the area of education, through triangulation between the discourses of informants and scientific knowledge already consolidated in these matters. We present a critical and reflexive interpretation of the policy orientations and achieved social rights, focusing on narratives of Ciganos, stakeholders and school representatives centred on what has changed in the school trajectories of Ciganos, in terms of continuity, success and permanence in public education.
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Radley, Keith C., and Evan H. Dart. "Graphing Data and Visual Analysis." In Handbook of Behavioral Interventions in Schools, 71–88. Oxford University Press, 2019. http://dx.doi.org/10.1093/med-psych/9780190843229.003.0005.

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As previously described, single-case design has several advantages in the evaluation of evidence-based practices and for the evaluation of the effects of interventions in applied settings. Following collection of data, data are typically graphed in order to determine the effects of an intervention on student behavior. However, recent research has determined that the manner in which graphs are constructed is likely to impact the decisions that visual analysts make regarding the effect of an intervention. As such, it is important that graphs be constructed in a manner that minimizes potential for error. This chapter describes quality indicators for graphs, and discusses analysis- and aesthetic-altering elements of graphs. In particular, the chapter describes two analysis-altering elements that must be considered when constructing graphs: scaling of the y-axis and the data points per x- to y-ratio (DPPXYR). Finally, the chapter describes how to conduct visual analysis. Six elements are discussed: changes in level, trend, and variability, consistency across similar conditions, overlap across adjacent phases, and immediacy of intervention effects.
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Conference papers on the topic "Scientific data collection and graphing"

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Лобанов, Григорий, Grigoriy Lobanov, Руслан Прокопишин, Ruslan Prokopishin, Дарья Абадонова, Dar'ya Abadonova, Валерия Крохина, and Valeriya Krohina. "The Possibilities of GIS-technologies in Systematization of Information on Cultural Heritage (on the Example of Bryansk Region)." In 29th International Conference on Computer Graphics, Image Processing and Computer Vision, Visualization Systems and the Virtual Environment GraphiCon'2019. Bryansk State Technical University, 2019. http://dx.doi.org/10.30987/graphicon-2019-1-163-167.

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The article analyzes the experience of creating a database of spatial data (BPD) on the cultural heritage of the Bryansk region as a basis for decision-making support in the organization of the tourism and recreational industry in the region. Methodical and technological decisions for physical, conceptual and logical level of design are given, their scientific and methodical and normative legal bases are discussed. The structure and content of BPD – electronic maps, layers, spatial and attribute characteristics of objects are described. The generalized information about the method of filling thematic layers, problems of data collection, systematization, visualization is given. The role of different types of software in the collection, systematization and visualization of data on cultural heritage is discussed. The tasks that are solved or proposed to be solved on the basis of the BPD are considered: collection of information about the area surrounding the heritage site, sorting and grouping of data, scientific reference mapping. Directions of use of BPD in the solution of branch tasks and prospects of development as an information resource are shown.
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Шарнин, Михаил, Michael Charnine, Евгений Соколов, Evgeniy Sokolov, Алексей Клоков, and Aleksey Klokov. "Semantic Approach to Visualization of Evolution Dynamics of Topic Trends in Space of Scientific Publications Using t-SNE and Web-based 3D Graphics." In 29th International Conference on Computer Graphics, Image Processing and Computer Vision, Visualization Systems and the Virtual Environment GraphiCon'2019. Bryansk State Technical University, 2019. http://dx.doi.org/10.30987/graphicon-2019-1-48-52.

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This paper describes a semantic approach to visualization of 3D cyberspace of Artificial Intelligence (AI) publications and their topic trends evolution using web-based 3D graphics. The purpose of research is to group AI publications with same subject into clusters for further visualization of topic trends dynamics. An unsupervised method and algorithm for visualizing the dynamics of topic trends by generating a time series of 2D and 3D semantic visual maps with predictive information is described. The method includes semantic similarity measure and citation prediction for documents, topic modeling and clustering, dimensionality reduction, virtual reality technology, representation of dynamics using time filters. As an example of particular implementation, the method is demonstrated on AI collection data using technologies of neural network prediction, LDA clustering, t-SNE dimensionality reduction, WebVR visualization. Cluster dynamics associated with scientific trends is analyzed. The growth in number of clusters and their consolidation during the period from 1954 to 1993 is demonstrated. It is shown that 3D visual map better preserves articles similarity and highdimensional clusters structure than 2D visual map. The proposed cyberspace implemented by WebVR and interactive 3D graphics can be considered as a dynamic learning environment that is convenient for discovering new significant articles, ideas and trends.
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Nizomutdinov, Boris Abdullochonovich, and Aleksandr Sergeevich Tropnikov. "Automated data collection for scientometric analysis." In 21th Scientific Conference “Scientific Services & Internet – 2019”. Keldysh Institute of Applied Mathematics, 2019. http://dx.doi.org/10.20948/abrau-2019-76.

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Hollinger, Geoffrey A., and Gaurav S. Sukhatme. "Trajectory learning for human-robot scientific data collection." In 2014 IEEE International Conference on Robotics and Automation (ICRA). IEEE, 2014. http://dx.doi.org/10.1109/icra.2014.6907833.

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Pisleaga, Mihaela. "TOPOGRAPHICAL DATA COLLECTION FOR THE ACHIEVEMENT OF DIGITAL TERRAIN MODELING." In 16th International Multidisciplinary Scientific GeoConference SGEM2016. Stef92 Technology, 2016. http://dx.doi.org/10.5593/sgem2016/b23/s11.072.

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Árvai, László. "Fingerprint Data Collection Using Autonomous Robot Vehice for Indoor Localization System." In MultiScience - XXXIII. microCAD International Multidisciplinary Scientific Conference. University of Miskolc, 2019. http://dx.doi.org/10.26649/musci.2019.016.

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Brandstetter, Pavel, Jiri Hajovsky, Ondrej Petrtyl, Radek Sulak, and Tomas Verner. "Software support and data collection system for induction motor drive." In 2015 16th International Scientific Conference on Electric Power Engineering (EPE). IEEE, 2015. http://dx.doi.org/10.1109/epe.2015.7161099.

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Alper, Pinar, Carole A. Goble, and Khalid Belhajjame. "On assisting scientific data curation in collection-based dataflows using labels." In SC13: International Conference for High Performance Computing, Networking, Storage and Analysis. New York, NY, USA: ACM, 2013. http://dx.doi.org/10.1145/2534248.2534249.

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Lee, Andrew, David Hanlon, Ricardo Sakai, Vernon Morris, Belay Demoz, and S. Andrew Gadsden. "Development of an autonomous unmanned aerial system for atmospheric data collection and research." In SPIE Commercial + Scientific Sensing and Imaging, edited by Tuan Vo-Dinh, Robert A. Lieberman, and Günter G. Gauglitz. SPIE, 2016. http://dx.doi.org/10.1117/12.2224547.

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Galkin, Pavlo. "Analysis models of collection data in wireless sensor networks." In 2016 Third International Scientific-Practical Conference Problems of Infocommunications Science and Technology (PIC S&T). IEEE, 2016. http://dx.doi.org/10.1109/infocommst.2016.7905392.

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Reports on the topic "Scientific data collection and graphing"

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Wright, Kirsten. Collecting Plant Phenology Data In Imperiled Oregon White Oak Ecosystems: Analysis and Recommendations for Metro. Portland State University, March 2020. http://dx.doi.org/10.15760/mem.64.

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Highly imperiled Oregon white oak ecosystems are a regional conservation priority of numerous organizations, including Oregon Metro, a regional government serving over one million people in the Portland area. Previously dominant systems in the Pacific Northwest, upland prairie and oak woodlands are now experiencing significant threat, with only 2% remaining in the Willamette Valley in small fragments (Hulse et al. 2002). These fragments are of high conservation value because of the rich biodiversity they support, including rare and endemic species, such as Delphinium leucophaeum (Oregon Department of Agriculture, 2020). Since 2010, Metro scientists and volunteers have collected phenology data on approximately 140 species of forbs and graminoids in regional oak prairie and woodlands. Phenology is the study of life-stage events in plants and animals, such as budbreak and senescence in flowering plants, and widely acknowledged as a sensitive indicator of environmental change (Parmesan 2007). Indeed, shifts in plant phenology have been observed over the last few decades as a result of climate change (Parmesan 2006). In oak systems, these changes have profound implications for plant community composition and diversity, as well as trophic interactions and general ecosystem function (Willis 2008). While the original intent of Metro’s phenology data-collection was to track long-term phenology trends, limitations in data collection methods have made such analysis difficult. Rather, these data are currently used to inform seasonal management decisions on Metro properties, such as when to collect seed for propagation and when to spray herbicide to control invasive species. Metro is now interested in fine-tuning their data-collection methods to better capture long-term phenology trends to guide future conservation strategies. Addressing the regional and global conservation issues of our time will require unprecedented collaboration. Phenology data collected on Metro properties is not only an important asset for Metro’s conservation plan, but holds potential to support broader research on a larger scale. As a leader in urban conservation, Metro is poised to make a meaningful scientific contribution by sharing phenology data with regional and national organizations. Data-sharing will benefit the common goal of conservation and create avenues for collaboration with other scientists and conservation practitioners (Rosemartin 2013). In order to support Metro’s ongoing conservation efforts in Oregon white oak systems, I have implemented a three-part master’s project. Part one of the project examines Metro’s previously collected phenology data, providing descriptive statistics and assessing the strengths and weaknesses of the methods by which the data were collected. Part two makes recommendations for improving future phenology data-collection methods, and includes recommendations for datasharing with regional and national organizations. Part three is a collection of scientific vouchers documenting key plant species in varying phases of phenology for Metro’s teaching herbarium. The purpose of these vouchers is to provide a visual tool for Metro staff and volunteers who rely on plant identification to carry out aspects of their job in plant conservation. Each component of this project addresses specific aspects of Metro’s conservation program, from day-to-day management concerns to long-term scientific inquiry.
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Reynolds, Christian, Libby Oakden, Sarah West, Rachel Pateman, and Chris Elliott. Citizen Science and Food: A Review. Food Standards Agency, March 2021. http://dx.doi.org/10.46756/sci.fsa.nao903.

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Citizen science and food is part of a new programme of work to explore how we can involve the communities we serve when building the evidence-base on which policy decisions are made. Citizen science is an approach that can provide high volumes of data with a wide geographic spread. It is relatively quick to deploy and allows access to evidence we would ordinarily have difficulty collating. This methodology has been endorsed by the European Commission for Research, Science and Innovation. There is no one size fits all definition, but citizen science projects involves engaging with communities and asking them to be part of the project, either through engaging them in data collection or through other ways of co-creation. For participants, citizen science offers learning opportunities, the satisfaction of contributing to scientific evidence and the potential to influence policy. It can also give us data which is high in volume, has wide geographical spread, is relatively quick to deploy and that we couldn’t access any other way. Projects using these methods often involve engaging with communities and asking them to be part of the project. This can be either through working with them in data collection, or through co-creation. This report demonstrates that the research community are already undertaking numerous pieces of research that align with FSA’s evidence needs. This includes examples from the UK and other global communities. Participants in such research have collected data on topics ranging from food preparation in the home to levels of chemical contaminant in foods. The findings of this report outline that citizen science could allow the FSA to target and facilitate more systematic engagement with UK and global research communities, to help address key research priorities of the FSA.
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