• Title/Summary/Keyword: Scientific data

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The US National Ecological Observatory Network and the Global Biodiversity Framework: national research infrastructure with a global reach

  • Katherine M. Thibault;Christine M, Laney;Kelsey M. Yule;Nico M. Franz;Paula M. Mabee
    • Journal of Ecology and Environment
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    • v.47 no.4
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    • pp.219-227
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    • 2023
  • The US National Science Foundation's National Ecological Observatory Network (NEON) is a continental-scale program intended to provide open data, samples, and infrastructure to understand changing ecosystems for a period of 30 years. NEON collects co-located measurements of drivers of environmental change and biological responses, using standardized methods at 81 field sites to systematically sample variability and trends to enable inferences at regional to continental scales. Alongside key atmospheric and environmental variables, NEON measures the biodiversity of many taxa, including microbes, plants, and animals, and collects samples from these organisms for long-term archiving and research use. Here we review the composition and use of NEON resources to date as a whole and specific to biodiversity as an exemplar of the potential of national research infrastructure to contribute to globally relevant outcomes. Since NEON initiated full operations in 2019, NEON has produced, on average, 1.4 M records and over 32 TB of data per year across more than 180 data products, with 85 products that include taxonomic or other organismal information relevant to biodiversity science. NEON has also collected and curated more than 503,000 samples and specimens spanning all taxonomic domains of life, with up to 100,000 more to be added annually. Various metrics of use, including web portal visitation, data download and sample use requests, and scientific publications, reveal substantial interest from the global community in NEON. More than 47,000 unique IP addresses from around the world visit NEON's web portals each month, requesting on average 1.8 TB of data, and over 200 researchers have engaged in sample use requests from the NEON Biorepository. Through its many global partnerships, particularly with the Global Biodiversity Information Facility, NEON resources have been used in more than 900 scientific publications to date, with many using biodiversity data and samples. These outcomes demonstrate that the data and samples provided by NEON, situated in a broader network of national research infrastructures, are critical to scientists, conservation practitioners, and policy makers. They enable effective approaches to meeting global targets, such as those captured in the Kunming-Montreal Global Biodiversity Framework.

A Study on the expansion of the Z39.88 KEVFormat:Sch-Svc for Scientific Data (과학데이터 관련 Z39.88 KEVFormat:Sch-Svc 확장 연구)

  • Kim, sun-tae;Lee, tae-young
    • Proceedings of the Korea Contents Association Conference
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    • 2011.05a
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    • pp.41-42
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    • 2011
  • DataCite 메타데이터 요소를 분석하여 OpenURL 학술 서비스 유형을 기술하기 위한 메타태그를 Key/Encoded-Value (KEV) 형식으로 확장 제안하였다. 학술 서비스 유형 분석을 위해 Scopus와 Web of Science, NDSL 서비스를 비교 검토하여 8개의 학술서비스 유형을 도출하였다. 또한 과학데이터 기술을 위한 DataCite 컨소시엄의 메타데이터 요소를 집중적으로 분석하여 9개의 대표속성을 도출 하였다.

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Discussion : Exploring New Identity of Statistics (토론 : 통계학, 새로운 모습의 탐색)

  • 허명희
    • The Korean Journal of Applied Statistics
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    • v.12 no.1
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    • pp.309-313
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    • 1999
  • To overcome current hardship during recent years of university reform, statistics departments of Korean universities should form a new shape with efficient strategies: First, they should value interdisciplinary and open education to foster scientific generalists rather than specialists (Bode.Mosteller.Tukey.Winsor, 1949). Second, they should work out on developing curriculum and improving educational quality for non-statistics majors (Ahn.Cho.Huh, 1994). The service market is widely open and its value is certainly worthy. Third, they may change their department name from "statistics", of which the social image is not quite right, to "data science" or "data information". Statistics is a field of learning on data methodology (Friedman, 1997). methodology (Friedman, 1997).

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A High-rate GPS Data Processing for Large-scale Structure Monitoring (대형구조물 모니터링을 위한 high-rate GPS 자료처리)

  • Bae, Tea-Suk
    • Proceedings of the Korean Society of Surveying, Geodesy, Photogrammetry, and Cartography Conference
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    • 2010.04a
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    • pp.181-182
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    • 2010
  • For real-time displacement monitoring of large-scale structures, the high-rate (>1 Hz) GPS data processing is necessary, which is not possible even for the scientific GPS data processing softwares. Since the baseline is generally very short in this case, most of the atmospheric effects are removed, resulting in the unknowns of position and integer ambiguity. The number of unknowns in real-time kinematic GPS positioning makes the positioning impossible with usual approach, thus two-step approach is tested in this study.

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Visual Analytic for Intangible Cultural Heritage in China

  • Nan Zhang
    • Journal of Information Processing Systems
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    • v.19 no.6
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    • pp.722-729
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    • 2023
  • Visual analytic for intangible cultural heritage has recently developed in China. Using advanced interactive visualization tools experts can observe data distribution trends and explore the implicit relationships among data within a short time. It can enhance human cognitive and analytical abilities and improve the scientific preservation of intangible cultural heritage. To support this research topic, we have reviewed recent visualization works on intangible cultural heritage in China. We divide these works into three types: text visualization, multi-dimensional visualization, and geographical visualization. Each type is illustrated by several representative works. New development trends in this area are also discussed.

Stability of the growth process at pulling large alkali halide single crystals

  • V.I. Goriletsky;S.K. Bondarenko;M.M. Smirnov;V.I. Sumin;K.V. Shakhova;V.S. Suzdal;V.A. Kuznetzov
    • Journal of the Korean Crystal Growth and Crystal Technology
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    • v.13 no.1
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    • pp.5-14
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    • 2003
  • Principles of a novel pulse growing method are described. The method realized in the crystal growing on a seed from melts under raw melt feeding provided a more reliable control of the crystallization process when producing large alkali halide crystals. The slow natural convection of the melt in the crucible at a constant melt level is intensified by rotating the crucible, while the crystal rotation favors a more symmetrical distribution of thermal stresses over the crystal cross-section. Optimum rotation parameters for the crucible and crystal have been determined. The spatial position oi the solid/liquid phase interface relatively to the melt surface, heaters and the crucible elements are considered. Basing on that consideration, a novel criterion is stated, that is, the immersion extent of the crystallization front (CF) convex toward the melt. When the crystal grows at a <> CF immersion, the raised CF may tear off from the melt partially or completely due to its weight. This results in avoid formation in the crystal. Experimental data on the radial crystal growth speed are discussed. This speed defines the formation of a gas phase layer at the crystal surface. The layer thickness il a function of time a temperature at specific values of pressure in the furnace and the free melt surface dimensions in the gap between the crystal and crucible wall. Analytical expressions have been derived for the impurity component mass transfer at the steady-state growth stage describing two independent processes, the impurity mass transfer along the <> path and its transit along the <> one. The heater (and thus the melt) temperature variation is inherent in any control system. It has been shown that when random temperature changes occur causing its lowering at a rate exceeding $0.5^{\circ}C/min$, a kind of the CF decoration by foreign impurities or by gas bubbles takes place. Short-term temperature changes at one heater or both result in local (i.e., at the front) redistribution of the preset axial growth speed.

Analysis on the Trends of Science Education Studies Related to 'Science Inquiry' by Professional Factors of Teaching Practice for Science Inquiry (과학탐구 수업실행 전문성 요소에 의한 '과학탐구' 관련 연구동향 분석)

  • Lee, Dongseung;Park, Jeongseok
    • Journal of the Korean Chemical Society
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    • v.61 no.4
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    • pp.197-203
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    • 2017
  • The purpose of this study is to analyse the characteristics of domestic scientific inquiry related research topics and consequently provide fundamental data and suggestions from a teaching method point of view. The study subjects was collected from the initial issue to the february 2016 issue of academic journals and using the keyword that 'inquiry', 'scientific inquiry'. The framework of Professional factors of teaching practice was developed and used for selecting subjects of study. The selected study subjects were analyzed according to the framework. And Topics of study were categorized and analyzed. The topic was thoroughly debated between 2 science education experts and 4 doctorate candidates within a specialist workshop. Results show that scientific education environments, scientific inquiry evaluation and teaching ability was studied less than education process and textbook analysis, scientific inquiry designing and application. And The research on the topics indicated that most research is concentrated in specific areas. It is postulated that additional research into scientific education environments, scientific inquiry evaluation and teaching ability would further develop the teachers' teaching abilities and enable a more successful science lesson in the classroom.

The Longitudinal Study on Academic Achievement of Mathematic and Scientific Subject (수학·과학 학업성취도 결정요인 종단연구)

  • Lee, Hyunchul
    • Journal of Science Education
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    • v.34 no.1
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    • pp.1-11
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    • 2010
  • This study analyzes the factors influencing academic achievement on mathematic and scientific subject and its change in Korean youth by using a sample from KYPS(Korea Youth Panel Survey) data. The results are as follows: First, academic achievement on mathematic and scientific subject of Korean youth shows quadratic curve that their interrelationship between intercept and slope of academic achievement are negative which is statistically significant. Second, analysis of Latent Growth Models shows that parents, teacher, peer group, self esteem, income of family, high school tracks are found to be a statistically significant factor on mathematic. And scientific subject is affected by parents, teacher, peer group, self esteem, income of family, high school tracks. Also, Interesting finding is that father's job is not significant to dependent variables. These findings show that academic achievement on mathematic and scientific subject of the Korean youth are the quadratic curve and influenced by parents, teacher, peer group, self esteem, income of family, high school tracks. To improve youth's mathematic and scientific, Korea educational fields and educators should have policy to care youth's relationship with parents, teachers and self esteem.

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Development of the Three-tier Test Items for the Thinking Skills of the Scientific Inquiry (과학적 탐구 사고력의 3단계 선다형 평가 연구)

  • Lee, Moo
    • Journal of The Korean Association For Science Education
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    • v.18 no.4
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    • pp.643-650
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    • 1998
  • In order to assess students' higher mental abilities, such as scientific inquiry thinking skills, the essay type items would be more adequate than the multiple choice itmes. However, due to the present condition in which a huge number of students take the examination at the same time, it is inevitable to use the multiple choice type. For this reason, it is necessary to develop a new type of multiple choice items which can reduce the disadvantages of the traditional multiple choice type and can achieve a similar level of validity as subjective type assessment. The three-tier multiple choice test items which can be used for a large sample of students and especially for scientific inquiry thinking abilities, are proposed and examined. The three-tier multiple choice test items asked firstly conclusion or the results of calculation or experimental apparatus, secondly the processes of calculation or of developing conclusion, thirdly asking relevant scientific concepts. For the item analysis, 1 point was given to the correct answer, while 0 point was given to the wrong one. The data were processed through the computer program developed in Turbo C 2.0 language with an IBM compatable personal computer. The average score in the sub-items asking for scientific concepts was lower than that in the sub-items asking for results or processes. The score of guessing by chance in the three-tier multiple choice items was only 0.13%, so that the probability of making correct answers by just guessing would be extremely low. The three-tier multiple choice items, even if they are objective items, are thought to assess thinking skills of the scientific inquiry meaningfully excluding the possibility of guessing by chance.

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Analysis of Characteristics of Linkage between Science and Technology in U.S. Considering R&D Expenditure (연구개발비규모를 고려한 과학지식의 기술연계 특성 분석 : 미국 사례)

  • Shim, Woo-Jung
    • Journal of Korea Technology Innovation Society
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    • v.15 no.1
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    • pp.47-75
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    • 2012
  • Basic research have contributed to technological growth or economic growth in U.S. Specially recent studies say that universities also contribute to economic development through scientific activities like science research, education, technology transfers. But we can not assure whether scientific knowledge was connected to real technology or economic performance, and it is difficult to figure out the effect of scientific output. "What is the exact performance of scientific knowledge?" It is still obscure. In this context, this paper analyzes characteristics of the linkage of science and technology. Data are U.S. R&D expenditure, scientific articles, citation of articles in U.S. patents by fields and sectors. As a result, university sector has the most weight of the linkage of science and technology. But, in relative connection rate analysis, industrial sector's is stronger than any other sectors. In the field analysis, linkage of science and technology is very strong in Chemistry, Physics, Biological sciences fields. And recently the linkage was increased in the fields of Computer science, Agricultural science, Engineering. Finally, this paper supports funding policy or estimation policy of government to product of scientific knowledge. University sector is still important because it has the most weight of the linkage. Scientific knowledge of industrial sector is also important. The connection rate of industrial science is the strongest in all sectors. And this research classify the R&D type by science fields. Considering the differences of science fields is needed to product science knowledge effectively.

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