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Автор: Grafiati

Опубліковано: 10 лютого 2024

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1

Kobayashi, Norio, Satoshi Kume, Kai Lenz, and Hiroshi Masuya. "RIKEN MetaDatabase." International Journal on Semantic Web and Information Systems 14, no. 1 (January 2018): 140–64. http://dx.doi.org/10.4018/ijswis.2018010106.

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Recently, the number and heterogeneity of life science datasets published on the Web have increased significantly. However, biomedical scientists face numerous serious difficulties finding, using and publishing useful databases. To address these issues, the authors developed a Resource Description Framework-based database platform, called the RIKEN MetaDatabase (http://metadb.riken.jp), that allows biologists to develop, publish and integrate multiple databases easily. The platform manages the metadata of both research and individual data described using standardised vocabularies and ontologies, and has a simple browser-based graphical user interface to view data including tabular and graphical forms. The platform was released in April 2015, and 113 databases, including mammalian, plant, bioresource and image databases, with 26 ontologies have been published using this platform as of January 2017. This paper describes the technical knowledge obtained through the development and operation of the RIKEN MetaDatabase to accelerate life science data distribution.

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2

SMITH, P., P. D. FALLOON, M. KÖRSCHENS, L. K. SHEVTSOVA, U. FRANKO, V. ROMANENKOV, K. COLEMAN, V. RODIONOVA, J. U. SMITH, and G. SCHRAMM. "EuroSOMNET – a European database of long-term experiments on soil organic matter: the WWW metadatabase." Journal of Agricultural Science 138, no. 2 (March 2002): 123–34. http://dx.doi.org/10.1017/s0021859601001800.

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Since 1997, the EuroSOMNET project, funded by the EU-ENRICH programme, has assembled a metadatabase, and separate experimental databases, of European long-term experiments that investigate changes in soil organic matter. In this paper, we describe the WWW-based metadatabase, which is a product of this project. The database holds detailed records of 110 long-term soil organic matter experiments, giving a wide geographical coverage of Europe, and includes experiments from the European part of the former Soviet Union, many of which have not been available previously. For speed of access, records are stored as hyper-text mark-up language (HTML) files. In this paper, we describe the metadatabase, the experiments for which records are held, the information stored about each experiment, and summarize the main characteristics of these experiments. Details from the metadatabase have already been used to examine regional trends in soil organic matter in Germany and eastern Europe, to construct and calibrate a regional statistical model of humus balance in Russia, to examine the effects of climatic conditions on soil organic matter dynamics, to estimate the potential for carbon sequestration in agricultural soils in Europe, and to test and improve soil organic matter models. The EuroSOMNET metadatabase provides information applicable to a wide range of agricultural and environmental questions and can be accessed freely via the EuroSOMNET home page at URL: http://www.iacr.bbsrc.ac.uk/aen/eusomnet/index.htm.

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3

Deck, John, Michelle Gaither, Rodney Ewing, Christopher Bird, Neil Davies, Christopher Meyer, Cynthia Riginos, Robert Toonen, and Eric Crandall. "The Genomic Observatories Metadatabase." Proceedings of TDWG 1 (August 22, 2017): e20508. http://dx.doi.org/10.3897/tdwgproceedings.1.20508.

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4

Sibbett, Benjamin, Loren H. Rieseberg, and Shawn Narum. "The Genomic Observatories Metadatabase." Molecular Ecology Resources 20, no. 6 (November 2020): 1453–54. http://dx.doi.org/10.1111/1755-0998.13283.

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5

ΠΕΡΙΣΟΡΑΤΗΣ, Κ., Α. ΑΝΔΡΙΝΟΠΟΥΛΟΣ, Ε. ΖΗΜΙΑΝΙΤΗΣ, and Π. ΖΑΧΑΡΑΚΗ. "The establishment of metadatabase: The program Euromarsin for the marin sediments samples." Bulletin of the Geological Society of Greece 34, no. 2 (August 1, 2018): 725. http://dx.doi.org/10.12681/bgsg.17349.

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The project EUMARSIN (European MARine Sediment Information Network), is an international scientific project financed by the European Community and its aim has been the development of an internet retrievable metadatabase containing the marine sediment samples collected from the European Seas. The project, with duration of two years, started on November 1998 and ended on October 2000. This paper elucidates the concerted activities of the partners participating in the project and represent the Marine Geology Departments of the Eurogeosurveys (ERG) now called Geological Survey Organizations (GSOs) of the European Union maritime countries, with the additional participation of a private company specialized on marine data management. The metadata can be accessed on the EU-SEASED Website through both an alphanumeric search and retrieval interface and by a geographical interface which allows the user to define an area of interest on a scrollable map showing the distribution of the seafloor sample/core locations. The EUMARSIN metadatabase now contains approximately 180.000 seabed samples collected by the Geological Surveys and other research organizations, universities, hydrographie offices and commercial companies in Europe. The metadatabase will be regularly updated by the partners on an on-line data entry system which will allow other organizations to contribute their metadata either retrospectively or as new data. The outcome of the EUMARSIN project, will be the successful establishment of the http://www.eu-seased.net marine sediment metadatabase and the development of analogous databases in each Geological Institute with the same specifications. This constitutes the first pan-European metadatabase in the marine geoscience field.

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6

Curran, Patrick. "INCORE Metadatabase Server - Technical Aspects and Constraints." IASSIST Quarterly 19, no. 3 (January 31, 1996): 12. http://dx.doi.org/10.29173/iq328.

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7

Söhngen, Carola, Boyke Bunk, Adam Podstawka, Dorothea Gleim, and Jörg Overmann. "BacDive—the Bacterial Diversity Metadatabase." Nucleic Acids Research 42, no. D1 (November 7, 2013): D592—D599. http://dx.doi.org/10.1093/nar/gkt1058.

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8

Hsu, Cheng. "The metadatabase project at Rensselaer." ACM SIGMOD Record 20, no. 4 (December 1991): 83–90. http://dx.doi.org/10.1145/141356.141394.

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9

Fukushima, Atsushi, Mikiko Takahashi, Hideki Nagasaki, Yusuke Aono, Makoto Kobayashi, Miyako Kusano, Kazuki Saito, Norio Kobayashi, and Masanori Arita. "Development of RIKEN Plant Metabolome MetaDatabase." Plant and Cell Physiology 63, no. 3 (December 17, 2021): 433–40. http://dx.doi.org/10.1093/pcp/pcab173.

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Анотація:

Abstract The advancement of metabolomics in terms of techniques for measuring small molecules has enabled the rapid detection and quantification of numerous cellular metabolites. Metabolomic data provide new opportunities to gain a deeper understanding of plant metabolism that can improve the health of both plants and humans that consume them. Although major public repositories for general metabolomic data have been established, the community still has shortcomings related to data sharing, especially in terms of data reanalysis, reusability and reproducibility. To address these issues, we developed the RIKEN Plant Metabolome MetaDatabase (RIKEN PMM, http://metabobank.riken.jp/pmm/db/plantMetabolomics), which stores mass spectrometry-based (e.g. gas chromatography–MS-based) metabolite profiling data of plants together with their detailed, structured experimental metadata, including sampling and experimental procedures. Our metadata are described as Linked Open Data based on the Resource Description Framework using standardized and controlled vocabularies, such as the Metabolomics Standards Initiative Ontology, which are to be integrated with various life and biomedical science data using the World Wide Web. RIKEN PMM implements intuitive and interactive operations for plant metabolome data, including raw data (netCDF format), mass spectra (NIST MSP format) and metabolite annotations. The feature is suitable not only for biologists who are interested in metabolomic phenotypes, but also for researchers who would like to investigate life science in general through plant metabolomic approaches.

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10

Hsu, C., G. Babin, L. Yee, M. Bouziane, W. Cheung, and L. Rattner. "The Metadatabase for Manufacturing Systems Integration." IFAC Proceedings Volumes 25, no. 7 (May 1992): 467–72. http://dx.doi.org/10.1016/s1474-6670(17)52411-8.

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11

Hsu, Cheng, Gilbert Babin, Lester Yee, M'Hamed Bouziane, Waiman Cheung, and Laurie Rattner. "Metadatabase modeling for enterprise information integration." Journal of Systems Integration 2, no. 1 (February 1992): 5–37. http://dx.doi.org/10.1007/bf02265069.

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12

SUZUKI, Tomonori, and Satoru MIYAZAKI. "Development of Bio-Metadatabase and Its Applications." Joho Chishiki Gakkaishi 19, no. 2 (2009): 92–97. http://dx.doi.org/10.2964/jsik.19-92.

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13

Söhngen, Carola, Adam Podstawka, Boyke Bunk, Dorothea Gleim, Anna Vetcininova, Lorenz Christian Reimer, Christian Ebeling, Cezar Pendarovski, and Jörg Overmann. "BacDive – The Bacterial Diversity Metadatabase in 2016." Nucleic Acids Research 44, no. D1 (September 30, 2015): D581—D585. http://dx.doi.org/10.1093/nar/gkv983.

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14

Hsu, Cheng, and Laurie Rattner. "Metadatabase solutions for enterprise information integration problems." ACM SIGMIS Database: the DATABASE for Advances in Information Systems 24, no. 1 (January 15, 1993): 23–35. http://dx.doi.org/10.1145/154421.154424.

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15

Behling, G., and M. Matthies. "Development of a metadatabase on environmental monitoring programmes." Information Services & Use 10, no. 4 (July 1, 1990): 205–14. http://dx.doi.org/10.3233/isu-1990-10402.

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16

Peng, Ying, and Fang Wang. "Research and Implementation of Integration Technology for XML-Based RFID Data." Applied Mechanics and Materials 373-375 (August 2013): 723–26. http://dx.doi.org/10.4028/www.scientific.net/amm.373-375.723.

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Анотація:

This paper proposes a new integration technology for RFID data by using XML£¬EPC tag and metadatabase. It solves the problem of data storage and sharing between the RFID systems and enterprise applications. And it can be used to achieve integration with other industries heterogeneous systems.

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17

Brönnimann, Stefan, Rob Allan, Christopher Atkinson, Roberto Buizza, Olga Bulygina, Per Dahlgren, Dick Dee, et al. "Observations for Reanalyses." Bulletin of the American Meteorological Society 99, no. 9 (September 2018): 1851–66. http://dx.doi.org/10.1175/bams-d-17-0229.1.

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AbstractGlobal dynamical reanalyses of the atmosphere and ocean fundamentally rely on observations, not just for the assimilation (i.e., for the definition of the state of the Earth system components) but also in many other steps along the production chain. Observations are used to constrain the model boundary conditions, for the calibration or uncertainty determination of other observations, and for the evaluation of data products. This requires major efforts, including data rescue (for historical observations), data management (including metadatabases), compilation and quality control, and error estimation. The work on observations ideally occurs one cycle ahead of the generation cycle of reanalyses, allowing the reanalyses to make full use of it. In this paper we describe the activities within ERA-CLIM2, which range from surface, upper-air, and Southern Ocean data rescue to satellite data recalibration and from the generation of snow-cover products to the development of a global station data metadatabase. The project has not produced new data collections. Rather, the data generated has fed into global repositories and will serve future reanalysis projects. The continuation of this effort is first contingent upon the organization of data rescue and also upon a series of targeted research activities to address newly identified in situ and satellite records.

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18

Hsu, C., M. Bouziane, L. Rattner, and L. Yee. "Information resources management in heterogeneous, distributed environments: A metadatabase approach." IEEE Transactions on Software Engineering 17, no. 6 (June 1991): 604–25. http://dx.doi.org/10.1109/32.87285.

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19

Babin, Gilbert, and Waiman Cheung. "A Metadatabase-supported shell for distributed processing and systems integration." Knowledge-Based Systems 21, no. 7 (October 2008): 672–80. http://dx.doi.org/10.1016/j.knosys.2008.03.024.

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20

Hsu, Cheng, Gilbert Babin, M'Hamed Bouziane, Waiman Cheung, Laurie Rattner, Alan Rubenstein, and Lester Yee. "The metadatabase approach to integrating and managing manufacturing information systems." Journal of Intelligent Manufacturing 5, no. 5 (October 1994): 333–49. http://dx.doi.org/10.1007/bf00127651.

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21

HORNE, DAVID J., MERLIJN JOCQUE, LUC BRENDONCK, and KOEN MARTENS. "On Potamocypris compressa (Crustacea, Ostracoda) from temporary rock pools in Utah, USA, with notes on the taxonomic harmonisation of North American and European ostracod faunas." Zootaxa 2793, no. 1 (March 17, 2011): 35. http://dx.doi.org/10.11646/zootaxa.2793.1.3.

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Анотація:

We report the abundant occurrence of a species of the ostracod genus Potamocypris in temporary freshwater rock pools in Utah, USA. It is identified as P. compressa Furtos, 1933, a species hitherto considered to be only a variety or subspecies of P. smaragdina (Vávra, 1891) but here established as a valid species for the first time. The biogeographical implications of this taxonomic revision are considered in the context of a metadatabase of northern hemisphere nonmarine ostracods for palaeoclimate applications.

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22

Bakkes, J. A. "Outline of a potential environment and health metadatabase for the Netherlands*." Information Services & Use 10, no. 4 (July 1, 1990): 223–28. http://dx.doi.org/10.3233/isu-1990-10404.

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23

Kopnova, Oxana, Anna Shaporeva, Kainizhamal Iklassova, Agibay Kushumbayev, Askar Tadzhigitov, and Aliya Aitymova. "Building an information analysis system within a corporate information system for combining and structuring organization data (on the example of a university)." Eastern-European Journal of Enterprise Technologies 6, no. 2 (120) (December 30, 2022): 20–29. http://dx.doi.org/10.15587/1729-4061.2022.267893.

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Digitalization of all spheres of life has led to the fact that organizations store a large amount of information in various data sources. The process of strategic decision-making may involve an in-depth analysis of data on many items of the organization's production cycle. However, data collection in this case can take weeks. This is quite a long time for prompt decision-making. The object of the study is data stored in the corporate information system of the organization, methods of their analysis for making management decisions. The subject of the study is the automation of work with data within the corporate analytical system, the identification of data analysis patterns, as well as the design of an information analysis system of a university. The presented information analysis system will solve the problem of consolidating disparate data of corporate information systems, as well as operational data of the organization. This is ensured by the creation of a metadatabase and the formation of an information analysis system add-on using PowerBI technologies. The generally accepted design scheme of the information system was modernized demonstrating the place of the metadatabase within the corporate information system of the university. A model of data analysis based on the formation of production rules for building a decision tree on the example of human resources analysis is presented. The results of this study can be useful to analysts, executives and senior managers of large organizations in creating an analysis system for the organization's performance

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24

Tuomisto, Jouko, and Kai Savolainen. "Background information for a European metadatabase on environment and health information sources: Finland*." Information Services & Use 10, no. 4 (July 1, 1990): 233–41. http://dx.doi.org/10.3233/isu-1990-10406.

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25

Kiyoki, Yasushi, Takashi Kitagawa, and Takanari Hayama. "A metadatabase system for semantic image search by a mathematical model of meaning." ACM SIGMOD Record 23, no. 4 (December 1994): 34–41. http://dx.doi.org/10.1145/190627.190639.

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26

Bailey, Stephen. "The metadatabase: the future of the retention schedule as a records management tool." Records Management Journal 9, no. 1 (April 1999): 33–45. http://dx.doi.org/10.1108/eum0000000007242.

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27

Cheung, Waiman, and Gilbert Babin. "A metadatabase-enabled executive information system (Part A): A flexible and adaptable architecture." Decision Support Systems 42, no. 3 (December 2006): 1589–98. http://dx.doi.org/10.1016/j.dss.2006.01.005.

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28

Lehmann, Karsten. "Interreligious Dialogue in Context." Interdisciplinary Journal for Religion and Transformation in Contemporary Society 6, no. 2 (December 11, 2020): 237–54. http://dx.doi.org/10.30965/23642807-00602001.

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Анотація:

Abstract The article sketches the overall layout of the thematic issue of the ‘Journal of Religion and Transformation in Contemporary Societies (JRAT)’ on Interreligious Dialogue (IRD) in context. It argues that an analysis of Interreligious Dialogue-activities in their socio-cultural contexts helps to counterbalance the long-standing individualistic bias of IRD-research. First, it presents a systematic description of the present state of the art that distinguishes two strands of IRD-research. Second, it argues for a European comparison, based upon the most recent findings from the ‘SMRE – Swiss Metadatabase of Religious Affiliation in Europe’. The article closes with references to the structure of the present volume of JRaT to facilitate such a comparison.

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29

Deck, John, Michelle Gaither, Rodney Ewing, Christopher Bird, Neil Davies, Chistopher Meyer, Cynthia Riginos, Robert Toonen, and Eric Crandall. "Planning for Field Based Biological Sample Collection: Using the Genomic Observatories Metadatabase Project Interface." Biodiversity Information Science and Standards 2 (July 5, 2018): e25651. http://dx.doi.org/10.3897/biss.2.25651.

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The Genomic Observatories Metadatabase (GeOMe, http://www.geome-db.org/) is an open access repository for geographic and ecological metadata associated with biosamples and genetic data. It contributes to the informatics stack – Biocode Commons – of the Genomic Observatories Network (https://gigascience.biomedcentral.com/articles/10.1186/2047-217X-3-2). The GeOMe project interface enables administrators to plan and execute field based sample collection efforts. GeOMe projects specify a core set of sample metadata fields based on community standard vocabularies and also includes plugins for associating samples with photos, subsamples, NextGen sequence metadata, and permits. Users can upload their own expedition-specific metadata, which contributes to the overall project dataset while providing the user a convenient method for updating and refining their contributed data. GeOMe provides connection points to the Global Biodiversity Information Facility and archived genetic data stored in the National Center for Biotechnology Information's (NCBI's) Sequence Read Archive (SRA), linking specimens and seqeuences via unique persistent identifiers.

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30

Cheung, Waiman, and Gilbert Babin. "A metadatabase-enabled executive information system (Part B): Methods for dynamic multidimensional data analysis." Decision Support Systems 42, no. 3 (December 2006): 1599–612. http://dx.doi.org/10.1016/j.dss.2006.01.008.

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31

Jennings, Eleanor, Elvira de Eyto, Alo Laas, Don Pierson, Georgina Mircheva, Andreja Naumoski, Andrew Clarke, Michael Healy, Kateřina Šumberová, and Daniel Langenhaun. "The NETLAKE Metadatabase-A Tool to Support Automatic Monitoring on Lakes in Europe and Beyond." Limnology and Oceanography Bulletin 26, no. 4 (October 27, 2017): 95–100. http://dx.doi.org/10.1002/lob.10210.

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32

Vilà, Ruth, Montse Freixa, and Assumpta Aneas. "Interreligious and Intercultural Dialogue in Education." Interdisciplinary Journal for Religion and Transformation in Contemporary Society 6, no. 2 (December 11, 2020): 255–73. http://dx.doi.org/10.30965/23642807-00602002.

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Анотація:

Abstract The article sketches the overall layout of the thematic issue of the ‘Journal of Religion and Transformation in Contemporary Societies (JRAT)’ on Interreligious Dialogue (IRD) in context. It argues that an analysis of interreligious dialogue activities in their socio-cultural contexts helps to counterbalance the long-standing individualistic bias of IRD-research. First, it presents a systematic description of the present state of the art that distinguishes two strands of IRD-research. Second, it argues for a European comparison, based upon most recent findings from the ‘SMRE – Swiss Metadatabase of Religious Affiliation in Europe’. The article is based on the research “Intercultural and interreligious dialogue to promote the culture of peace in unaccompanied foreign youth and minors (MENA) in Barcelona and Melilla” (RTI2018-095259-B-I00 / MCIU / AEI / FEDER, EU) and closes with references to the structure of the present volume of JRaT to facilitate such a comparison.

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33

Reimer, Lorenz C., Carola Söhngen, Anna Vetcininova, and Jörg Overmann. "Mobilization and integration of bacterial phenotypic data—Enabling next generation biodiversity analysis through the Bac Dive metadatabase." Journal of Biotechnology 261 (November 2017): 187–93. http://dx.doi.org/10.1016/j.jbiotec.2017.05.004.

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34

Reimer, Lorenz Christian, Joaquim Sardà Carbasse, Julia Koblitz, Christian Ebeling, Adam Podstawka, and Jörg Overmann. "BacDive in 2022: the knowledge base for standardized bacterial and archaeal data." Nucleic Acids Research 50, no. D1 (October 29, 2021): D741—D746. http://dx.doi.org/10.1093/nar/gkab961.

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Abstract The bacterial metadatabase BacDive (https://bacdive.dsmz.de) has developed into a leading database for standardized prokaryotic data on strain level. With its current release (07/2021) the database offers information for 82 892 bacterial and archaeal strains covering taxonomy, morphology, cultivation, metabolism, origin, and sequence information within 1048 data fields. By integrating high-quality data from additional culture collections as well as detailed information from species descriptions, the amount of data provided has increased by 30% over the past three years. A newly developed query builder tool in the advanced search now allows complex database queries. Thereby bacterial strains can be systematically searched based on combinations of their attributes, e.g. growth and metabolic features for biotechnological applications or to identify gaps in the present knowledge about bacteria. A new interactive dashboard provides a statistic overview over the most important data fields. Additional new features are improved genomic sequence data, integrated NCBI TaxIDs and links to BacMedia, the new sister database on cultivation media. To improve the findability and interpretation of data through search engines, data in BacDive are annotated with bioschemas.org terms.

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35

BOUZIANE, M’HAMED, and CHENG HSU. "A RULEBASE MODEL FOR DATA AND KNOWLEDGE INTEGRATION IN MULTIPLE SYSTEMS ENVIRONMENTS." International Journal on Artificial Intelligence Tools 02, no. 04 (December 1993): 485–509. http://dx.doi.org/10.1142/s0218213093000230.

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There are three aspects of integration that a computerized enterprise using multiple systems must address: (1) data integration (among, e.g., product design databases, shop floor control databases, and production planning databases), (2) knowledge integration (across various knowledge-based systems that share common enterprise facts, operating rules, or decision logic), and (3) data and knowledge integration (as as to, at least, calibrate databases with factbases and data models with knowledge models). A key issue in this integration problem is the global representation of knowledge (including data semantic constraints and application processing logic) in a form compatible with that of data resources. This paper develops a rulebase model to address this need. In particular, the model combines production rule and relation into a structure that allows (1) full factbase management, (2) inclusion of complete logic (both condition and action), and (3) efficient rulebase processing. It contributes directly to the problem of trigger management (or more generally, rule and event management) in both single-site and multiple-site data and knowledge systems. The model is implemented as a part of the Metadatabase system at Rensselaer.

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36

Deck, John, Michelle R. Gaither, Rodney Ewing, Christopher E. Bird, Neil Davies, Christopher Meyer, Cynthia Riginos, Robert J. Toonen, and Eric D. Crandall. "The Genomic Observatories Metadatabase (GeOMe): A new repository for field and sampling event metadata associated with genetic samples." PLOS Biology 15, no. 8 (August 3, 2017): e2002925. http://dx.doi.org/10.1371/journal.pbio.2002925.

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Schmidt-Kloiber, Astrid, S. Jannicke Moe, Bernard Dudley, Jörg Strackbein, and Robert Vogl. "The WISER metadatabase: the key to more than 100 ecological datasets from European rivers, lakes and coastal waters." Hydrobiologia 704, no. 1 (September 13, 2012): 29–38. http://dx.doi.org/10.1007/s10750-012-1295-6.

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Yu, Xuan. "Smart City Economic Management Prediction Model Based on Information Analysis System." Mobile Information Systems 2022 (July 5, 2022): 1–10. http://dx.doi.org/10.1155/2022/5667203.

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Анотація:

In order to establish a central metadatabase that can comprehensively reflect the overall situation of regional economic and social development, this paper proposes a smart city economic management prediction model based on information analysis system. First, this paper introduces the common prediction methods of time series, explains the meaning of smart city, and expounds the problems existing in the economic management of smart city. Second, the functional requirements of the economic database management system for smart city are introduced. According to the application analysis of the basic database and public information platform, most government departments, relevant civil servants, and the public in the urban area have the demand for sharing and utilizing macroeconomic information. This paper adopts B/S architecture: the foreground uses HTML5 and JavaScript technology and the background uses Java language. It adopts SSH (Spring + Struts + Hibernate) framework, and the database uses Oracle11g to realize the overall function of the system. The system is tested, and the test results of data statistics function show that the selected time period of the last five years is correct and the linear graph is correct. It verifies and ensures the integrity, correctness, and operation stability of the system function.

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Grabowski, Jacek P., Philipp Harter, Florian Heitz, Eric Pujade-Lauraine, Alexander Reuss, Gunnar Kristensen, Isabelle Ray-Coquard, et al. "Operability and chemotherapy responsiveness in advanced low-grade serous ovarian cancer. An analysis of the AGO Study Group metadatabase." Gynecologic Oncology 140, no. 3 (March 2016): 457–62. http://dx.doi.org/10.1016/j.ygyno.2016.01.022.

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Chapman, Tamra F., and W. Lachlan McCaw. "Where to survey? Spatial biodiversity survey gap analysis: a multicriteria approach." Pacific Conservation Biology 23, no. 2 (2017): 189. http://dx.doi.org/10.1071/pc16030.

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The aim of this study was to quantify the relative effort for biodiversity surveys across the public forest estate in the south-west of Western Australia. We collated information on historical surveys into a metadatabase and recorded locations where surveys had been conducted in a spatial geodatabase. We then used multicriteria modelling to rank land conservation units on the basis of relative survey effort. The results indicated that the western, particularly the south-western, parts of the study area were relatively well surveyed while eastern parts were relatively poorly surveyed. This is likely to reflect greater habitat loss and fragmentation of vegetation on the eastern margins of the forest estate where it adjoins the extensively cleared Western Australian wheatbelt. There was also an emphasis on monitoring biodiversity in forest habitats closer to the main population centres of the south-west. The results of this analysis provide a basis for assessing future survey needs for the region, which should also consider: patterns of distribution in species richness; the extent, connectivity and conservation status of native vegetation; and the relative risks posed to biodiversity by infrastructure and industrial land uses. We discuss the potential limitations of the multicriteria modelling approach in the context of our study.

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Beck, Samantha, Heather Mathison, Toma Todorov, Esli-Armando Calderon-Juarez, and Olga R. Kopp. "A Review of Medicinal Uses and Pharmacological Activities of Tridax Procumbens (L.)." Journal of Plant Studies 7, no. 1 (January 27, 2018): 19. http://dx.doi.org/10.5539/jps.v7n1p19.

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Tridax procumbens is a very promising species that produces secondary metabolites reported to have a variety of medicinal uses including among others, anti-anemic, anti-inflammatory, anti-diabetic and anesthetic properties. This species has a long history of traditional use by different communities. This study aimed to review the scientific literature regarding the medicinal properties, biological activity and phytochemical components of T. procumbens, a member of the Asteraceae family that originated in Central and South America. An extensive literature review was done using Metadatabase EDS, MedLine (PubMed), Science Direct, Web of Science, Academic Search Premier, Scielo, DOAJ Directory of Open Access Journals, JSTOR, and other sources to find information relevant to the medicinal uses of T. procumbens. At total of 130 studies were found that contained information about T. procumbens. Some of the papers were not included because of the relevance to this study, ending with a total of 111 relevant citations reported here. This review shows the importance of more studies to understand the potential of T. procumbens’ secondary metabolites for medicinal or preventive treatment, making it a promising ethnobotanical resource. This review provides important information of this species and indicates that this species could be an effective, safe and affordable treatment for some ailments, especially in tropical areas where this plant is native and widely distributed.

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Riginos, Cynthia, Eric D. Crandall, Libby Liggins, Michelle R. Gaither, Rodney B. Ewing, Christopher Meyer, Kimberly R. Andrews, et al. "Building a global genomics observatory: Using GEOME (the Genomic Observatories Metadatabase) to expedite and improve deposition and retrieval of genetic data and metadata for biodiversity research." Molecular Ecology Resources 20, no. 6 (October 27, 2020): 1458–69. http://dx.doi.org/10.1111/1755-0998.13269.

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Liu, Shang Yin Vanson, Jacob Green, Dana Briggs, Ruth Hastings, Ylva Jondelius, Skylar Kensinger, Hannah Leever, et al. "Dongsha Atoll is an important stepping-stone that promotes regional genetic connectivity in the South China Sea." PeerJ 9 (August 31, 2021): e12063. http://dx.doi.org/10.7717/peerj.12063.

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Background Understanding region-wide patterns of larval connectivity and gene flow is crucial for managing and conserving marine biodiversity. Dongsha Atoll National Park (DANP), located in the northern South China Sea (SCS), was established in 2007 to study and conserve this diverse and remote coral atoll. However, the role of Dongsha Atoll in connectivity throughout the SCS is seldom studied. In this study, we aim to evaluate the role of DANP in conserving regional marine biodiversity. Methods In total, 206 samples across nine marine species were collected and sequenced from Dongsha Atoll, and these data were combined with available sequence data from each of these nine species archived in the Genomic Observatories Metadatabase (GEOME). Together, these data provide the most extensive population genetic analysis of a single marine protected area. We evaluate metapopulation structure for each species by using a coalescent sampler, selecting among panmixia, stepping-stone, and island models of connectivity in a likelihood-based framework. We then completed a heuristic graph theoretical analysis based on maximum dispersal distance to get a sense of Dongsha’s centrality within the SCS. Results Our dataset yielded 111 unique haplotypes across all taxa at DANP, 58% of which were not sampled elsewhere. Analysis of metapopulation structure showed that five out of nine species have strong regional connectivity across the SCS such that their gene pools are effectively panmictic (mean pelagic larval duration (PLD) = 78 days, sd = 60 days); while four species have stepping-stone metapopulation structure, indicating that larvae are exchanged primarily between nearby populations (mean PLD = 37 days, sd = 15 days). For all but one species, Dongsha was ranked within the top 15 out of 115 large reefs in the South China Sea for betweenness centrality. Thus, for most species, Dongsha Atoll provides an essential link for maintaining stepping-stone gene flow across the SCS. Conclusions This multispecies study provides the most comprehensive examination of the role of Dongsha Atoll in marine connectivity in the South China Sea to date. Combining new and existing population genetic data for nine coral reef species in the region with a graph theoretical analysis, this study provides evidence that Dongsha Atoll is an important hub for sustaining connectivity for the majority of coral-reef species in the region.

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Bayleyegn, Tesfaye M., Amy H. Schnall, Shimere G. Ballou, David F. Zane, Sherry L. Burrer, Rebecca S. Noe, and Amy F. Wolkin. "Use of Community Assessments for Public Health Emergency Response (CASPERs) to Rapidly Assess Public Health Issues — United States, 2003-2012." Prehospital and Disaster Medicine 30, no. 4 (July 21, 2015): 374–81. http://dx.doi.org/10.1017/s1049023x15004938.

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AbstractIntroductionCommunity Assessment for Public Health Emergency Response (CASPER) is an epidemiologic technique designed to provide quick, inexpensive, accurate, and reliable household-based public health information about a community’s emergency response needs. The Health Studies Branch at the Centers for Disease Control and Prevention (CDC) provides in-field assistance and technical support to state, local, tribal, and territorial (SLTT) health departments in conducting CASPERs during a disaster response and in non-emergency settings. Data from CASPERs conducted from 2003 through 2012 were reviewed to describe uses of CASPER, ascertain strengths of the CASPER methodology, and highlight significant findings.MethodsThrough an assessment of the CDC’s CASPER metadatabase, all CASPERs that involved CDC support performed in US states and territories from 2003 through 2012 were reviewed and compared descriptively for differences in geographic distribution, sampling methodology, mapping tool, assessment settings, and result and action taken by decision makers.ResultsFor the study period, 53 CASPERs were conducted in 13 states and one US territory. Among the 53 CASPERS, 38 (71.6%) used the traditional 2-stage cluster sampling methodology, 10 (18.8%) used a 3-stage cluster sampling, and two (3.7%) used a simple random sampling methodology. Among the CASPERs, 37 (69.9%) were conducted in response to specific natural or human-induced disasters, including 14 (37.8%) for hurricanes. The remaining 16 (30.1%) CASPERS were conducted in non-disaster settings to assess household preparedness levels or potential effects of a proposed plan or program. The most common recommendations resulting from a disaster-related CASPER were to educate the community on available resources (27; 72.9%) and provide services (18; 48.6%) such as debris removals and refills of medications. In preparedness CASPERs, the most common recommendations were to educate the community in disaster preparedness (5; 31.2%) and to revise or improve preparedness plans (5; 31.2%). Twenty-five (47.1%) CASPERs documented on the report or publications the public health action has taken based on the result or recommendations. Findings from 27 (50.9%) of the CASPERs conducted with CDC assistance were published in peer-reviewed journals or elsewhere.ConclusionThe number of CASPERs conducted with CDC assistance has increased and diversified over the past decade. The CASPERs’ results and recommendations supported the public health decisions that benefitted the community. Overall, the findings suggest that the CASPER is a useful tool for collecting household-level disaster preparedness and response data and generating information to support public health action.BayleyegnTM, SchnallAH, BallouSG, ZaneDF, BurrerSL, NoeRS, WolkinAF. Use of Community Assessments for Public Health Emergency Response (CASPERs) to rapidly assess public health issues — United States, 2003-2012. Prehosp Disaster Med. 2015;30(4):1-8.

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Voigt, Kristina, and Rainer Brüggemann. "Toxicology databases in the metadatabank of online databases." Toxicology 100, no. 1-3 (June 1995): 225–40. http://dx.doi.org/10.1016/0300-483x(95)03092-t.

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Röttgers, Jan, Wolf-Fritz Riekert, Oliver Günther, Myra Spiliopoulou, and Lukas Faulstich. "Metadatabases in environmental information systems: the Locator and Communication Service (VKS-Umwelt)." Environmental Modelling & Software 16, no. 5 (July 2001): 447–52. http://dx.doi.org/10.1016/s1364-8152(01)00015-9.

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Medyckyj-Scott, David, Mike Cuthbertson, and Ian Newman. "Discovering environmental data: metadatabases, network information resource tools and the GENIE system." International Journal of Geographical Information Systems 10, no. 1 (January 1996): 65–84. http://dx.doi.org/10.1080/02693799608902067.

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Dengler, Jürgen, and Steering Committee GIVD. "data: GIVD, a new ecological metadatabase." Frontiers of Biogeography 2, no. 3 (April 12, 2012). http://dx.doi.org/10.21425/f52312347.

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Dengler, Jürgen, and Steering Committee GIVD. "data: GIVD, a new ecological metadatabase." Frontiers of Biogeography 2, no. 3 (April 12, 2012). http://dx.doi.org/10.21425/f5fbg12347.

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"The metadatabase for manufacturing systems integration." Control Engineering Practice 1, no. 1 (February 1993): 209. http://dx.doi.org/10.1016/0967-0661(93)92243-w.

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