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Subject URL Function Number of 1. Story Narrrative MORE2. Slides Slides 12.1. Slide 1 Big Earth Sciences Data - From Descriptive to Prescriptive Analyt Graphic 32.2. Slide 2 Overview Graphic 02.3. Slide 3 Overview (continued) Graphic 02.4. Slide 4 Data Science Central: 9 "must read" articles Graphic 12.5. Slide 5 My Selection (Vincent Granville): List Graphic 02.6. Slide 6 Big Data-From Descriptive to Prescriptive Graphic 12.7. Slide 7 My Selection (Vincent Granville): Footnote and Comment Graphic 02.8. Slide 8 My Selection (Vincent Granville): Other Internal Links Graphic 02.9. Slide 9 Six Categories of Data Scientists Graphic 12.10. Slide 10 Update About Our Data Science Apprenticeship-March 10, 20 Graphic 12.11. Slide 11 Update About Our Data Science Apprenticeship-March 29, 20 Graphic 22.12. Slide 12 Developing Analytic Talent Graphic 12.13. Slide 13 Data Science Certification Graphic 12.14. Slide 14 Write a data science research paper and win fame and award Graphic 12.15. Slide 15 Dr. Vincent Granville: A Visionary Data Scientist Graphic 12.16. Slide 16 Big Data-From Descriptive to Prescriptive Examples Graphic 02.17. Slide 17 How was the data collected? Graphic 12.18. Slide 18 Where is the data stored? Graphic 12.19. Slide 19 What were thee results? Graphic 12.20. Slide 20 What is the data story? Graphic 12.21. Slide 21 Developing Analytic Talent Graphic 12.22. Slide 22 Chapter 1: What is Data Science? Graphic 02.23. Slide 23 Chapter 2: Big Data is Different Graphic 02.24. Slide 24 Chapter 3: Becoming a Data Scientist Graphic 02.25. Slide 25 Chapter 4: Data Science Craftsmanship-Part I Graphic 02.26. Slide 26 Chapter 5: Data Science Craftsmanship-Part II Graphic 02.27. Slide 27 Chapter 6: Data Science Applications - Case Studies Graphic 02.28. Slide 28 Chapter 7: Launching Your New Data Science Career Graphic 42.29. Slide 29 Chapter 8: Data Science Resources Graphic 52.30. Slide 30 Addendum Graphic 02.31. Slide 31 Big Data – From Descriptive to Prescriptive Example: Forecas Graphic 02.32. Slide 32 Forecasting Meteorite Hits Graphic 32.33. Slide 33 Where is the data stored? And What are the results? Graphic 12.34. Slide 34 Why Did It Happen (correlation analytics) and What Will Happe Graphic 12.35. Slide 35 What Should I Do About it (prescriptive analytics) 1 Graphic 12.36. Slide 36 What Should I Do About it (prescriptive analytics) 2 Graphic 33. Spotfire Dashboard Dashboard 14. Research Notes Mining 34.1. Editor Mining 14.2. General Interest Mining 94.3. Workshops on Extremely Large Databases Mining 64.4. Databases Mining 44.5. Ontology Mining 45. CODATA Workshop on Big Data for International Scientific Programmes: PDF 16. Workshop on Big Data for International Scientific Programmes: Challenge PDF 1
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ta_Science/Big_Data_Science_for_CODATA#Databaseshttp://semanticommunity.info/Data_Science/Big_Data_Science_for_CODATA#Ontologyhttp://semanticommunity.info/Data_Science/Big_Data_Science_for_CODATA#CODATA_International_Training_Workshop_in_Big_Data_for_Sciencehttp://semanticommunity.info/Data_Science/Big_Data_Science_for_CODATA#Workshop_on_Big_Data_for_International_Scientific_Programmes:_Challenges_and_Opportunities
6.1. Summary PDF 06.2. Context and Rationale PDF 0
PDF 06.4. Further Information PDF 07. CODATA International Training Workshop in Big Data for Science PDF 17.1. Workshop Objectives PDF 07.2. Course Contents PDF 07.3. Training methods and activities PDF 07.4. Participants PDF 17.5. Program Language PDF 07.6. Examination and Certificate PDF 07.7. Date and Duration PDF 07.8. Venue PDF 07.9. Sponsors PDF 07.10. Organizers PDF 07.11. Training Expenses PDF 07.12. Participants Qualifications and Requirements For Admissions PDF 07.13. Application Procedure and Deadline PDF 28. Application Form: CODATA International Training Workshop in Big Data fo Word 3
Web 19.1. March 2014 Web 19.1.1. CODATA International Training Workshop in Big Data for Science, fo Web 19.1.2. CODATA Workshop on Big Data for International Scientific Programme Web 19.1.3. SciDataCon 2014: Call for Abstracts and Registration Open Web 19.1.4. Great Success of CODATA-China’s First Scientific Data Conference Web 29.1.4.1. Big Research Data and Data Science Web 09.2. February 2014 Web 19.2.1. DAR-TG Goes to India (Twice) Web 19.2.2. CODATA Task Group on Anthropometric Data and Engineering: recent a Web 19.2.3. CODATA Mourns Vice-President Fedor Kuznetsov Web 19.2.4. Open Data Policies Are Much More Economically Generative Than Cl Web 19.3. January 2014 Web 19.3.1. Call for SciDataCon 2014 International Scientific Programme Committ Web 19.3.2. Implementation of Data Sharing Principles: GEO Side Event Web 19.3.3. DANS Symposium on the Future of Scholarly Communications – and the Web 19.3.4. Building Support for ‘Principle Guidelines’ for Data at Risk Web 19.3.5. CODATA and the GEO Data Sharing Working Group Web 19.3.6. Announcing SciDataCon 2014, New Delhi, India, 2-5 November 2014 Web 19.4. November 2013 Web 19.4.1. Data Citation Synthesis Group: Draft Declaration of Data Citation Princ Web 19.4.2. Call for Proposals: CODATA Task Groups 2014-16 Web 19.4.3. CODATA Roads Task Group at the Global Geospatial Conference Web 19.5. October 2013 Web 19.5.1. Talking about CODATA… Web 19.6. September 2013 Web 19.6.1. Hello world! And welcome! Web 110. CODATA Data Science Journal Web 111. CODATA (Committee on Data for Science and Technology-Databases) Web 1
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6.3. Indicative Workshop Programme http://semanticommunity.info/Data_Science/Big_Data_Science_for_CODATA#Indicative_Workshop_Programmehttp://semanticommunity.info/Data_Science/Big_Data_Science_for_CODATA#Further_Informationhttp://semanticommunity.info/Data_Science/Big_Data_Science_for_CODATA#CODATA_International_Training_Workshop_in_Big_Data_for_Sciencehttp://semanticommunity.info/Data_Science/Big_Data_Science_for_CODATA#Workshop_Objectiveshttp://semanticommunity.info/Data_Science/Big_Data_Science_for_CODATA#Course_Contentshttp://semanticommunity.info/Data_Science/Big_Data_Science_for_CODATA#Training_methods_and_activitieshttp://semanticommunity.info/Data_Science/Big_Data_Science_for_CODATA#Participantshttp://semanticommunity.info/Data_Science/Big_Data_Science_for_CODATA#Program_Languagehttp://semanticommunity.info/Data_Science/Big_Data_Science_for_CODATA#Examination_and_Certificatehttp://semanticommunity.info/Data_Science/Big_Data_Science_for_CODATA#Date_and_Durationhttp://semanticommunity.info/Data_Science/Big_Data_Science_for_CODATA#Venuehttp://semanticommunity.info/Data_Science/Big_Data_Science_for_CODATA#Sponsorshttp://semanticommunity.info/Data_Science/Big_Data_Science_for_CODATA#Organizershttp://semanticommunity.info/Data_Science/Big_Data_Science_for_CODATA#Training_Expenseshttp://semanticommunity.info/Data_Science/Big_Data_Science_for_CODATA#Participants_Qualifications_and_Requirements_For_Admissionshttp://semanticommunity.info/Data_Science/Big_Data_Science_for_CODATA#Application_Procedure_and_Deadlinehttp://semanticommunity.info/Data_Science/Big_Data_Science_for_CODATA#Application_Form:_CODATA_International_Training_Workshop_in_Big_Data_for_Science
9. CODATA Blog http://semanticommunity.info/Data_Science/Big_Data_Science_for_CODATA#CODATA_Bloghttp://semanticommunity.info/Data_Science/Big_Data_Science_for_CODATA#CODATA_International_Training_Workshop_in_Big_Data_for_Science.2C_for_Researchers_from_Emerging_and_Developing_Countrieshttp://semanticommunity.info/Data_Science/Big_Data_Science_for_CODATA#CODATA_Workshop_on_Big_Data_for_International_Scientific_Programmes:_Challenges_and_Opportunities_2http://semanticommunity.info/Data_Science/Big_Data_Science_for_CODATA#CODATA_Workshop_on_Big_Data_for_International_Scientific_Programmes:_Challenges_and_Opportunities_2http://semanticommunity.info/Data_Science/Big_Data_Science_for_CODATA#SciDataCon_2014:_Call_for_Abstracts_and_Registration_Openhttp://semanticommunity.info/Data_Science/Big_Data_Science_for_CODATA#Great_Success_of_CODATA-China.E2.80.99s_First_Scientific_Data_Conferencehttp://semanticommunity.info/Data_Science/Big_Data_Science_for_CODATA#Big_Research_Data_and_Data_Sciencehttp://semanticommunity.info/Data_Science/Big_Data_Science_for_CODATA#February_2014http://semanticommunity.info/Data_Science/Big_Data_Science_for_CODATA#DAR-TG_Goes_to_India_(Twice)http://semanticommunity.info/Data_Science/Big_Data_Science_for_CODATA#CODATA_Task_Group_on_Anthropometric_Data_and_Engineering:_recent_activitieshttp://semanticommunity.info/Data_Science/Big_Data_Science_for_CODATA#CODATA_Mourns_Vice-President_Fedor_Kuznetsovhttp://semanticommunity.info/Data_Science/Big_Data_Science_for_CODATA#Open_Data_Policies_Are_Much_More_Economically_Generative_Than_Closed_Oneshttp://semanticommunity.info/Data_Science/Big_Data_Science_for_CODATA#January_2014http://semanticommunity.info/Data_Science/Big_Data_Science_for_CODATA#Call_for_SciDataCon_2014_International_Scientific_Programme_Committee_Candidateshttp://semanticommunity.info/Data_Science/Big_Data_Science_for_CODATA#Implementation_of_Data_Sharing_Principles:_GEO_Side_Eventhttp://semanticommunity.info/Data_Science/Big_Data_Science_for_CODATA#DANS_Symposium_on_the_Future_of_Scholarly_Communications_.E2.80.93_and_the_benefits_of_time_to_thinkhttp://semanticommunity.info/Data_Science/Big_Data_Science_for_CODATA#Building_Support_for_.E2.80.98Principle_Guidelines.E2.80.99_for_Data_at_Riskhttp://semanticommunity.info/Data_Science/Big_Data_Science_for_CODATA#CODATA_and_the_GEO_Data_Sharing_Working_Grouphttp://semanticommunity.info/Data_Science/Big_Data_Science_for_CODATA#Announcing_SciDataCon_2014.2C_New_Delhi.2C_India.2C_2-5_November_2014http://semanticommunity.info/Data_Science/Big_Data_Science_for_CODATA#November_2013http://semanticommunity.info/Data_Science/Big_Data_Science_for_CODATA#Data_Citation_Synthesis_Group:_Draft_Declaration_of_Data_Citation_Principleshttp://semanticommunity.info/Data_Science/Big_Data_Science_for_CODATA#Call_for_Proposals:_CODATA_Task_Groups_2014-16http://semanticommunity.info/Data_Science/Big_Data_Science_for_CODATA#CODATA_Roads_Task_Group_at_the_Global_Geospatial_Conferencehttp://semanticommunity.info/Data_Science/Big_Data_Science_for_CODATA#October_2013http://semanticommunity.info/Data_Science/Big_Data_Science_for_CODATA#Talking_about_CODATA.E2.80.A6http://semanticommunity.info/Data_Science/Big_Data_Science_for_CODATA#September_2013http://semanticommunity.info/Data_Science/Big_Data_Science_for_CODATA#Hello_world!_And_welcome!http://semanticommunity.info/Data_Science/Big_Data_Science_for_CODATA#CODATA_Data_Science_Journalhttp://semanticommunity.info/Data_Science/Big_Data_Science_for_CODATA#CODATA_(Committee_on_Data_for_Science_and_Technology-Databases)
11.1. CODATA Key Values for Thermodynamics Web 411.2. International Register of Materials Database Managers Table MANY11.3. CODATA/ICSTI Prototype Portal on Permanent Access to Scientific Dat Web 111.4. Scientific Access to Data and Information Web 212. Integrated Research on Disaster Risk Web 112.1. IRDR Peril Classification and Hazard Glossary PDF 412.1.1. IRDR PDF 012.1.2. About IRDR PDF 012.1.3. Members of the IRDR DATA Project Working Group PDF 012.1.4. 1. Introduction PDF 012.1.5. 2. Background PDF 012.1.5.1. 2.1 The Integrated Research on Disaster Risk Programme PDF 012.1.5.2. 2.2 Why Loss Database Standards are Important PDF 012.1.6. 3. Peril Classification PDF 012.1.6.1. 3.1 Classification Structure PDF 012.1.6.1.1. Figure 1: Peril classification at the Family level Graphic 112.1.6.1.2. Figure 2: Peril classification at the Family and Main Events levels Graphic 112.1.6.1.3. Figure 3: Peril classification at the Family, Main Event and Peril l Graphic 112.1.6.1.4. Figure 4: Peril classification at the Family, Main Event and Peril l Graphic 112.1.6.2. 3.2 Glossary PDF 512.1.6.2.1. Table 1: Definitions of perils, main events, and families Table 112.1.7. 4. Conclusion PDF 012.1.8. References PDF 412.1.9. Appendices PDF 112.1.9.1. Databases at a Glance Table 512.1.9.2. Loss Indicators Table 112.1.9.3. Peril Coverage Table 113. SciDataCon 2014, the International Conference on Data Sharing and Integ Web 713.1. Conference Forum Web 113.1.1. Citizens' participation in science: how can citizen contribute to ope Web 013.1.2. Introduction to Text and Data Mining—Technical and Legal Consider Web 013.1.3. Machine Learning in remote Sensing data Web 013.1.4. Metadata Interoperability through an International Network of (Pola Web 013.1.5. Topic: Going beyond saving the data Web 013.1.6. Topics for SciDataCon 2014 Web 013.1.7. Knowledge Discovery with "Unstructured Data" Web 013.1.8. Big Data, Little Sharing: Challenges and Opportunities for Data-Intens Web 013.1.9. Open Science Data Frameworks Web 013.1.10. RS & GIS Web 013.1.11. Open Data in Agricultural Sciences Web 013.1.12. The Research Data Alliance: building bridges to enable open sharing Web 014. ICSU World Data System Web 114.1. Trusted Data Services for Global Science Web 115. Institute of Remote Sensing and Digital Earth, Chinese Academy of Scien Web 115.1. Resources Web 115.1.1. Scientific Database Table 215.1.2. Coverage State of Landsat-7 Imageries In Part of China Image 115.1.3. Flood in Heilongjiang River (Autumn, 2013 Landsat-8 Imagery) Image 1
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15.1.4. Landscape of Ruoqiang in Xinjiang Uygur Autonomous Region (Jul, 2 Image 116. NEXT
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URLhttp://semanticommunity.info/@api/deki/files/29000/CODATABigDataScience.xlsx
Subject URL Function Number of 1. Story Narrative 02. Research Notes Theresa Pa 03. ICSU and the Challenges of Data and Information Management for Paper 03.1. ABSTRACT Paper 03.2. 1 INTRODUCTION Paper 03.2.1. Table 1. Estimates of the world’s capacity to store, communic Paper 03.3. 2 DATA AND INFORMATION CHALLENGES Paper 03.3.1. 2.1 The Fourth Paradigm Paper 03.3.2. 2.2 Data overload Paper 03.3.3. 2.3 Data complexity Paper 03.3.4. 2.4 Changing expectations Paper 03.3.5. 2.5 Digital divide Paper 03.4. 3 ICSU STRATEGIC REVIEWS OF INFORMATION AND DATA Paper 03.5. 4 PROGRESS WITH THE WORLD DATA SYSTEM Paper 03.5.1. 4.1 WDS objectives from the ICSU perspective Paper 03.5.2. 4.2 Criteria for professional data management in the WDS Paper 03.5.3. 4.3 Active participation in the WDS Paper 03.5.4. 4.4 Future plans for the WDS Paper 03.6. 5 FUTURE IMPROVEMENTS IN DATA AND INFORMATION MANAG Paper 03.6.1. 5.1 Best practice in data management Paper 03.6.2. 5.2 Open access Paper 03.6.3. 5.3 Data as a publication Paper 03.6.4. 5.4 The role of education Paper 03.7. 6 CONCLUSIONS Paper 03.7.1. 6.1 Momentum Paper 03.7.2. 6.2 Avenues for action Paper 03.8. 7 ACKNOWLEDGEMENTS Paper 03.9. 8 REFERENCES References 03.10. 9 Appendix A Paper 03.11. 10 Appendix B Paper 03.11.1. 1. Policy Paper 03.11.2. 2. Governance Paper 03.11.3. 3. Planning and organisation Paper 03.11.4. 4. Standards and tools Paper 03.11.5. 5. Data management and stewardship Paper 03.11.6. 6. Data access Paper 04. Is Data Publication the Right Metaphor? Essay 04.1. ABSTRACT Essay 04.2. 1 INTRODUCTION Essay 54.3. 2 THE IMPORTANCE OF METAPHOR AND FRAMING Essay 04.4. 3 CURRENT WORLDVIEWS AND ASSOCIATED METAPHORS Essay 74.5. 4 PROS AND CONS OF THE CURRENT WORLDVIEWS Essay 04.5.1. Table 1. Summary of attributes (rows) of some major data ma Table 04.5.2. Table 2. Summary of strengths and weaknesses of the data m Table 04.6. 5 ALTERNATIVE WORLD VIEWS AND METAPHORS Essay 04.7. 6. RESEARCH AGENDA Essay 04.8. 7 ACKNOWLEDGEMENTS Essay 0
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4.9. Footnotes Footnotes 04.9.1. 1 Footnotes 04.9.2. 2 Footnotes 04.9.3. 3 Footnotes 04.9.4. 4 Footnotes 04.9.5. 5 Footnotes 04.9.6. 6 Footnotes 04.9.7. 7 Footnotes 04.9.8. 8 Footnotes 04.9.9. 9 Footnotes 04.9.10. 10 Footnotes 04.9.11. 11 Footnotes 04.9.12. 12 Footnotes 04.10. 8 References References 285. CODATA-ICSTI Task Group on Data Citation Standards and Practice Report 06. PREFACE Report 07. Executive Summary Report 07.1. Chapter 1 THE IMPORTANCE OF DATA CITATION TO THE RESEAR Report 07.1.1. 1.1 Introduction Report 27.1.2. 1.2 The role of data in the research lifecycle Report 07.1.3. 1.3 Organization of this report Report 07.2. Chapter 2 DEFINING THE CONCEPTS AND CHARACTERISITCS OF Report 07.2.1. 2.1 Definitions Report 07.2.1.1. 2.1.1 Terms for data objects Report 17.2.1.2. 2.1.2 Terms for data preservation Report 07.2.1.3. 2.1.3 Terms for citation and metadata Report 07.3. Chapter 3 EMERGING PRINCIPLES FOR DATA CITATION Report 07.3.1. 3.1 Introduction Report 17.3.2. 3.2 Principles Report 07.3.2.1. 1. The Status Principle: Report 07.3.2.2. 2. The Attribution Principle Report 07.3.2.3. 3. The Persistence Principle Report 07.3.2.4. 4. The Access Principle Report 07.3.2.5. 5. The Discovery Principle Report 07.3.2.6. 6. The Provenance Principle Report 07.3.2.7. 7. The Granularity Principle Report 07.3.2.8. 8. The Verifiability Principle Report 07.3.2.9. 9. The Metadata Standards Principle Report 07.3.2.10. 10. The Flexibility Principle Report 07.4. Chapter 4 THE EXISTING INSTITUTIONAL INFRASTRUCTURE FOR Report 07.4.1. 4.1 Introduction Report 07.4.2. 4.2 International organizations with a role in data citation Report 07.4.3. 4.3 Importance of good data management practice to research Report 07.4.3.1. 4.3.1 International scientific organizations Report 07.4.3.2. 4.3.2 Researchers and research institutions Report 07.4.3.3. 4.3.3 Publishers of scholarly journals Report 07.4.3.4. 4.3.4 Academic research libraries Report 07.4.3.5. 4.3.5 Research funding agencies Report 0
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7.4.4. 4.4 Existing data citation practices of operational organizations Report 07.4.4.1. 4.4.1 Introduction Report 07.4.4.2. 4.4.2 Earth sciences Report 07.4.4.2.1. The Publishing Network for Geoscientific and Environmen Report 07.4.4.2.2. Oak Ridge National Laboratory (ORNL) Distributed Active A Report 07.4.4.2.3. Federation of Earth Science Information Partners (ESIP) Report 07.4.4.2.4. Natural Environment Research Council’s (NERC) Environme Report 07.4.4.2.5. International Coastal Atlas Network (ICAN) Report 07.4.4.3. 4.4.3 Life sciences Report 07.4.4.3.1. The Global Biodiversity Information Facility (GBIF) Report 17.4.4.3.2. Dryad Report 07.4.4.4. 4.4.4 Physical sciences Report 07.4.4.4.1. The Cambridge Structural Database (CSD) and the Protein Report 07.4.4.5. 4.4.5 Social sciences Report 07.4.4.5.1. Dataverse Report 17.4.4.5.2. The Inter-university Consortium for Political and Social Res Report 07.4.4.6. 4.4.6 Other data citation practices Report 07.4.4.6.1. Journal Supplemental Materials Practices Report 07.4.4.7. 4.4.7 Other initiatives in the developing data infrastructure Report 07.4.4.7.1. The Data Hub Report 17.4.4.7.2. Figshare Report 07.4.4.7.3. OpenAIRE Report 07.4.4.7.4. The Scientific Data Center of the Computer Network Info Report 07.4.5. 4.5 Conclusion Report 07.5. Chapter 5 THE TECHNICAL INFRASTRUCTURE Report 07.5.1. 5.1 Common practices for data citation Report 07.5.1.1. 5.1.1 Elements of a data citation Report 07.5.1.1.1. Author Report 07.5.1.1.2. Title Report 07.5.1.1.3. Publisher Report 07.5.1.1.4. Publication date Report 07.5.1.1.5. Resource type Report 07.5.1.1.6. Edition Report 07.5.1.1.7. Version Report 07.5.1.1.8. Feature name and URI Report 07.5.1.1.9. Verifier Report 07.5.1.1.10. Identifier Report 07.5.1.1.11. Location Report 07.5.1.1.12. APA Report 07.5.1.1.13. Chicago (notes) Report 07.5.1.1.14. MLA Report 07.5.1.1.15. Oxford Report 07.5.1.2. 5.1.2 Persistent resource identifiers in citations Report 27.5.2. 5.2 Incomplete practices and gaps within metadata elements an Report 07.5.2.1. 5.2.1 Granularity Report 07.5.2.2. 5.2.2 Version control Report 07.5.2.3. 5.2.3 Microattribution Report 07.5.2.4. 5.2.4 Contributor identifiers Report 0
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7.5.2.5. 5.2.5 Facilitation of reuse Report 07.5.3. 5.3 Current and emerging tools, technology and infrastructure Report 07.5.3.1. 5.3.1 Introduction Report 07.5.3.2. 5.3.2 Current tools for data citation discovery, tracking and r Report 07.5.3.2.1. A. Thomson Reuter’s Data Citation Index Report 07.5.3.2.2. B. Other tools Report 07.5.3.3. 5.3.3 Emerging tools Report 07.5.3.3.1. A. Altmetric.com Report 07.5.3.3.2. B. ImpactStory Report 07.5.3.4. 5.3.4 Technology design to leverage tools for data citation Report 07.5.3.4.1. A. Browser tools Report 07.5.3.4.2. B. Dynamic citation tools Report 07.5.3.4.3. C. Search tools Report 07.5.3.4.4. D. Archiving tools Report 07.5.3.4.5. E. Data citation mining tools Report 07.5.3.4.6. F. Platform Support Tools Report 07.5.4. 5.4 Conclusion Report 07.6. Chapter 6 THE SOCIO-CULTURAL DIMENSION: EXAMINING THE Report 07.6.1. 6.1 Introduction Report 07.6.2. 6.2 The benefits of good data citation practices Report 07.6.2.1. 6.2.1 Benefits for data producers Report 07.6.2.2. 6.2.2 Benefits for universities and research institute administ Report 07.6.2.3. 6.2.3 Benefits for data centers Report 07.6.2.4. 6.2.4 Benefits for funding organizations Report 07.6.2.5. 6.2.5 Benefits for publishers Report 07.6.2.6. 6.2.6 Benefits for researchers and research communities Report 07.6.2.7. 6.2.7 Benefits for the broader society Report 07.6.3. 6.3 Socio-cultural and institutional challenges Report 07.6.3.1. 6.3.1 Data producers Report 07.6.3.2. 6.3.2 University and research institute administrators Report 07.6.3.3. 6.3.3 Data centers Report 07.6.3.4. 6.3.4 Publishers and editors Report 07.6.3.5. 6.3.5 Research funders Report 07.6.3.6. 6.3.6 Individual researchers and the research community Report 07.6.4. 6.4 Economic and financial challenges Report 07.6.5. 6.5 Conclusion Report 07.7. Chapter 7 OPEN RESEARCH QUESTIONS Report 07.7.1. 7.1 Introduction Report 07.7.2. 7.2 Enabling research Report 07.7.2.1. Figure 1. Research activities required to enable ubiquitous, Graphic 07.7.2.2. 7.2.1 Identity Report 07.7.2.3. 7.2.2 Provenance Report 07.7.2.4. 7.2.3 Attribution Report 07.7.3. 7.3 Social-cultural research Report 07.7.4. 7.4 Evaluation research Report 07.7.5. 7.5 Domain research Report 07.7.5.1. Figure 2. Research building on data citation infrastructure Graphic 07.7.5.2. 7.5.1 Reproducibility Report 1
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7.7.5.3. 7.5.2 Systematic reviews Report 07.7.5.4. 7.5.3 Publication bias Report 07.7.5.5. 7.5.4 Data reuse Report 07.7.6. 7.6 Science metrics and science policy Report 07.7.6.1. 7.6.1 Mapping the dark matter of science Report 27.7.7. 7.7 Conclusions Report 07.7.7.1. Figure 3. Primary research fields enabling data citation Graphic 07.8. Footnotes Footnotes 07.8.1. 1 Footnotes 07.8.2. 2 Footnotes 07.8.3. 3 Footnotes 07.8.4. 4 Footnotes 07.8.5. 5 Footnotes 07.8.6. 6 Footnotes 07.8.7. 7 Footnotes 07.8.8. 8 Footnotes 07.8.9. 9 Footnotes 07.8.10. 10 Footnotes 07.8.11. 11 Footnotes 07.8.12. 12 Footnotes 07.9. ACKNOWLEDGEMENTS Report 07.10. REFERENCES ReferencesMANY7.11. APPENDIX A Report 07.11.1. Task Group members and their professional biographies Report 07.11.1.1. Co-Chairs Report 07.11.1.2. Membership List Report 07.11.1.3. CODATA EC Liaison Report 07.12. APPENDIX B Report 07.12.1. Task Group bibliography on data citation publications Report 07.13. APPENDIX C Report 07.13.1. Organizations interviewed by Task Group members concerning Report 07.13.1.1. Totals Table 07.13.1.2. Table 1. Summary of organizations interviewed by Task Gro Table 0
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URL URL URL URL URL URL URL URL URL URLhttp://semhttps://wwhttps://wwhttp://mp-http://semhttps://wwhttp://semhttp://wwwhttp://wwwhttp://www
https://www.jstage.jst.go.jp/article/dsj/12/0/12_WDS-001/_pdfhttp://semanticommunity.info/@api/deki/files/29004/[email protected]@ucl.ac.uk
http://www.icsu-wds.org/
http://www.icsu-wds.org/organization/structure/wds-sc
http://semanticommunity.info/Data_Science/Big_Data_Science_for_CODATA/Data_Science_Journal#10_Appendix_Bhttp://www.soros.org/openaccess/read.shtmlhttp://www.earlham.edu/~peters/fos/bethesda.htmhttp://oa.mpg.de/lang/en-uk/berlin-prozess/berliner-erklarung/
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Subject URL Function Issue1. Story Narrative2. Slides Slides3. Spotfire Dashboard Dashboard4. Research Notes Notes4.1. Data Sources http://semData4.2. Digital Earth Summit on Geoinformatics: Tools for Global Change Re http://semData4.3. The use cases of digital earth http://semData4.4. Process http://semData4.5. DIVA-GIS Data
Data4.5.2. Climate data Data4.5.2.1. Current climate (~1950-2000) Data4.5.2.2. Future climate (2xCO2 climate conditions, CCM3 model) Data4.5.3. Free Spatial Data Data4.5.3.1. Country level Data4.5.3.2. Global level Data4.5.3.3. Global climate data Data4.5.3.4. Species occurrence data Data4.5.3.5. Crop (genebank) collection data Data4.5.3.6. Near global 90 meter resolution elevation data Data4.5.3.7. High resolution satellite images (LandSat) Data4.5.3.8. A very good list Data4.6. Climate Change Knowledge Portal: Ensemble Projections Data5. International Journal of Digital Earth Journal5.1. Society information Journal5.2. Aims & scope Journal5.2.1. Overview Journal5.2.2. Thoughts on International Journal of Digital Earth Journal5.2.3. STAR Journal5.2.4. Disclaimer Journal5.3. Publication models and dates explained Journal5.3.1. Article history dates on Taylor & Francis Online Journal5.3.2. Routes to rapid online publication Journal5.4. Volume 7 2014 Volume Regular Iss5.4.1. Issue 6 2014 pages 432-509 Issue Regular Iss5.4.1.1. Geometrically modeling 2D scattered points: a review of the pot Article Regular Iss5.4.1.2. StarFL – a modularised metadata language for sensor descriptio Article Regular Iss5.4.1.3. Simulated impacts of 3D urban morphology on urban transportatio Article Regular Iss5.4.1.4. Evaluation of different machine learning methods for land cove http://semArticle Regular Iss5.4.2. Issue 5 2014 pages 351-431 Issue Regular Iss5.4.2.1. Spectral sensitivity of ALOS, ASTER, IKONOS, LANDSAT and SPOT s Article Regular Iss5.4.2.2. Pervasive geo-security – a lightweight triple-A approach to secur Article Regular Iss5.4.2.3. Coupling the 4M crop model with national geo-databases for asse Article Regular Iss5.4.2.4. Enrichment of topographic road database for the purpose of rou Article Regular Iss5.4.3. Issue 4 2014 pages 253-350 Issue Regular Iss5.4.3.1. Analytical geospatial Digital Earth Editorial Regular Iss5.4.3.2. Enhancing accessibility to web mapping systems with technology- Article Regular Iss
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http://semanticommunity.info/Data_Science/Big_Data_Science_for_CODATA/International_Journal_of_Digital_Earth#Issue_2_2013_pages_103-201http://semanticommunity.info/Data_Science/Big_Data_Science_for_CODATA/International_Journal_of_Digital_Earth#SAR_polarimetric_change_detection_for_flooded_vegetationhttp://semanticommunity.info/Data_Science/Big_Data_Science_for_CODATA/International_Journal_of_Digital_Earth#Exploring_natural_and_anthropogenic_risk_for_cultural_heritage_in_Cyprus_using_remote_sensing_and_GIShttp://semanticommunity.info/Data_Science/Big_Data_Science_for_CODATA/International_Journal_of_Digital_Earth#Mapping_salt_diapirs_and_salt_diapir-affected_areas_using_MLP_neural_network_model_and_ASTER_datahttp://semanticommunity.info/Data_Science/Big_Data_Science_for_CODATA/International_Journal_of_Digital_Earth#Optimizing_artificial_neural_network-based_indoor_positioning_system_using_genetic_algorithmhttp://semanticommunity.info/Data_Science/Big_Data_Science_for_CODATA/International_Journal_of_Digital_Earth#GEOID:_GRID_Services_for_Earth_Observation_Image_Data_Processinghttp://semanticommunity.info/Data_Science/Big_Data_Science_for_CODATA/International_Journal_of_Digital_Earth#Transferring_Google_Earth_observations_to_GIS-software:_example_from_gully_erosion_studyhttp://semanticommunity.info/Data_Science/Big_Data_Science_for_CODATA/International_Journal_of_Digital_Earth#Issue_1_2013_pages_1-102http://semanticommunity.info/Data_Science/Big_Data_Science_for_CODATA/International_Journal_of_Digital_Earth#Making_Digital_Earth_on_Earthhttp://semanticommunity.info/Data_Science/Big_Data_Science_for_CODATA/International_Journal_of_Digital_Earth#Effects_of_LIDAR_DEM_resolution_in_hydrodynamic_modelling:_model_sensitivity_for_cross-sectionshttp://semanticommunity.info/Data_Science/Big_Data_Science_for_CODATA/International_Journal_of_Digital_Earth#VGIS-AntiJitter:_an_effective_framework_for_solving_jitter_problems_in_virtual_geographic_information_systems
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http://semanticommunity.info/Data_Science/Big_Data_Science_for_CODATA/International_Journal_of_Digital_Earth#Maize_drought_disaster_risk_assessment_of_China_based_on_EPIC_model
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liurfa-Turkey:_an_example_using_MCDA_integrated_with_GIShttp://semanticommunity.info/Data_Science/Big_Data_Science_for_CODATA/International_Journal_of_Digital_Earth#A_new_trapezoidal-mesh_based_data_model_for_spatial_operationshttp://semanticommunity.info/Data_Science/Big_Data_Science_for_CODATA/International_Journal_of_Digital_Earth#Issue_1_2012_pages_1-90http://semanticommunity.info/Data_Science/Big_Data_Science_for_CODATA/International_Journal_of_Digital_Earth#Digital_Earth:_a_new_challenge_and_new_visionhttp://semanticommunity.info/Data_Science/Big_Data_Science_for_CODATA/International_Journal_of_Digital_Earth#Digital_Earth_2020:_towards_the_vision_for_the_next_decadehttp://semanticommunity.info/Data_Science/Big_Data_Science_for_CODATA/International_Journal_of_Digital_Earth#NIBU:_a_new_approach_to_representing_and_analysing_interior_utility_networks_within_3D_geo-information_systemshttp://semanticommunity.info/Data_Science/Big_Data_Science_for_CODATA/International_Journal_of_Digital_Earth#The_challenges_of_developing_an_open_source.2C_standards-based_technology_stack_to_deliver_the_latest_UK_climate_projectionshttp://semanticommunity.info/Data_Science/Big_Data_Science_for_CODATA/International_Journal_of_Digital_Earth#Land_cover_mapping_applications_with_MODIS:_a_literature_reviewhttp://semanticommunity.info/Data_Science/Big_Data_Science_for_CODATA/International_Journal_of_Digital_Earth#Remote_sensing_and_GIS_technologies_for_monitoring_and_prediction_of_disastershttp://semanticommunity.info/Data_Science/Big_Data_Science_for_CODATA/International_Journal_of_Digital_Earth#Volume_4_2011http://semanticommunity.info/Data_Science/Big_Data_Science_for_CODATA/International_Journal_of_Digital_Earth#Supp_1_2011_pages_1-130http://semanticommunity.info/Data_Science/Big_Data_Science_for_CODATA/International_Journal_of_Digital_Earth#Validation_of_EO-derived_information_for_crisis_management:_a_Digital_Earth_perspective_in_the_VALgEO_expert_communityhttp://semanticommunity.info/Data_Science/Big_Data_Science_for_CODATA/International_Journal_of_Digital_Earth#Development_and_implementation_of_a_validation_protocol_for_crisis_maps:_reliability_and_consistency_assessment_of_burnt_area_mapshttp://semanticommunity.info/Data_Science/Big_Data_Science_for_CODATA/International_Journal_of_Digital_Earth#Generalisation.2C_symbol_specification_and_map_evaluation:_feedback_from_research_done_at_COGIT_laboratory.2C_IGN_Francehttp://semanticommunity.info/Data_Science/Big_Data_Science_for_CODATA/International_Journal_of_Digital_Earth#Validation_of_GIS_layers_in_the_EU:_getting_adapted_to_available_reference_datahttp://semanticommunity.info/Data_Science/Big_Data_Science_for_CODATA/International_Journal_of_Digital_Earth#The_independent_service_validation_in_GMES_RESPOND:_the_flood_validation_exercisehttp://semanticommunity.info/Data_Science/Big_Data_Science_for_CODATA/International_Journal_of_Digital_Earth#Quality_control.2C_validation_and_user_feedback_of_the_European_Flood_Alert_System_(EFAS)http://semanticommunity.info/Data_Science/Big_Data_Science_for_CODATA/International_Journal_of_Digital_Earth#Monitoring_changes_in_the_Menik_Farm_IDP_camps_in_Sri_Lanka_using_multi-temporal_very_high-resolution_satellite_datahttp://semanticommunity.info/Data_Science/Big_Data_Science_for_CODATA/International_Journal_of_Digital_Earth#Analysis_of_built-up_spatial_pattern_at_different_scales:_can_scattering_affect_map_accuracy.3Fhttp://semanticommunity.info/Data_Science/Big_Data_Science_for_CODATA/International_Journal_of_Digital_Earth#Mapping_urban_building_stocks_for_vulnerability_assessment_.E2.80.93_preliminary_resultshttp://semanticommunity.info/Data_Science/Big_Data_Science_for_CODATA/International_Journal_of_Digital_Earth#Issue_6_2011_pages_449-ebihttp://semanticommunity.info/Data_Science/Big_Data_Science_for_CODATA/International_Journal_of_Digital_Earth#A_capability_matching_and_ontology_reasoning_method_for_high_precision_OGC_web_service_discoveryhttp://semanticommunity.info/Data_Science/Big_Data_Science_for_CODATA/International_Journal_of_Digital_Earth#Parallel_algorithm_for_viewshed_analysis_on_a_modern_GPU
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http://semanticommunity.info/Data_Science/Big_Data_Science_for_CODATA/International_Journal_of_Digital_Earth#Mapping_alteration_minerals_using_sub-pixel_unmixing_of_ASTER_data_in_the_Sarduiyeh_area.2C_SE_Kerman.2C_Iranhttp://semanticommunity.info/Data_Science/Big_Data_Science_for_CODATA/International_Journal_of_Digital_Earth#Modelling_and_mapping_third_dimension_in_a_spatial_databasehttp://semanticommunity.info/Data_Science/Big_Data_Science_for_CODATA/International_Journal_of_Digital_Earth#Analysis_of_the_factors_affecting_LiDAR_DTM_accuracy_in_a_steep_shrub_areahttp://semanticommunity.info/Data_Science/Big_Data_Science_for_CODATA/International_Journal_of_Digital_Earth#Editorial_Board_3http://semanticommunity.info/Data_Science/Big_Data_Science_for_CODATA/International_Journal_of_Digital_Earth#Issue_5_2011_pages_365-447http://semanticommunity.info/Data_Science/Big_Data_Science_for_CODATA/International_Journal_of_Digital_Earth#A_time_series_for_monitoring_vegetation_activity_and_phenology_at_10-daily_time_steps_covering_large_parts_of_South_Americahttp://semanticommunity.info/Data_Science/Big_Data_Science_for_CODATA/International_Journal_of_Digital_Earth#Applicability_of_SRTM_data_for_landform_characterisation_and_geomorphometry:_a_comparison_with_contour-derived_parametershttp://semanticommunity.info/Data_Science/Big_Data_Science_for_CODATA/International_Journal_of_Digital_Earth#Preliminary_study_of_a_cluster-based_open-source_parallel_GIS_based_on_the_GRASS_GIShttp://semanticommunity.info/Data_Science/Big_Data_Science_for_CODATA/International_Journal_of_Digital_Earth#Geospatial_predictive_modelling_of_the_Neolithic_archaeological_sites_of_Magnesia_in_Greecehttp://semanticommunity.info/Data_Science/Big_Data_Science_for_CODATA/International_Journal_of_Digital_Earth#European_digital_archive_on_soil_maps_(EuDASM):_preserving_important_soil_data_for_public_free_accesshttp://semanticommunity.info/Data_Science/Big_Data_Science_for_CODATA/International_Journal_of_Digital_Earth#Advanced_Geoinformation_Sciencehttp://semanticommunity.info/Data_Science/Big_Data_Science_for_CODATA/International_Journal_of_Digital_Earth#Advances_in_Environmental_Remote_Sensing:_Sensors.2C_Algorithms.2C_and_Applicationshttp://semanticommunity.info/Data_Science/Big_Data_Science_for_CODATA/International_Journal_of_Digital_Earth#Issue_4_2011_pages_271-363http://semanticommunity.info/Data_Science/Big_Data_Science_for_CODATA/International_Journal_of_Digital_Earth#A_European_perspective_on_Digital_Earthhttp://semanticommunity.info/Data_Science/Big_Data_Science_for_CODATA/International_Journal_of_Digital_Earth#Sensors.2C_empowerment.2C_and_accountability:_a_Digital_Earth_view_from_East_Africahttp://semanticommunity.info/Data_Science/Big_Data_Science_for_CODATA/International_Journal_of_Digital_Earth#Spatial_cloud_computing:_how_can_the_geospatial_sciences_use_and_help_shape_cloud_computing.3Fhttp://semanticommunity.info/Data_Science/Big_Data_Science_for_CODATA/International_Journal_of_Digital_Earth#Impact_of_discretization_methods_on_the_rough_set-based_classification_of_remotely_sensed_imageshttp://semanticommunity.info/Data_Science/Big_Data_Science_for_CODATA/International_Journal_of_Digital_Earth#Toward_an_improved_data_stewardship_and_service_for_environmental_and_ecological_science_data_in_West_Chinahttp://semanticommunity.info/Data_Science/Big_Data_Science_for_CODATA/International_Journal_of_Digital_Earth#Geographic_information_systems_and_sciencehttp://semanticommunity.info/Data_Science/Big_Data_Science_for_CODATA/International_Journal_of_Digital_Earth#Risk_and_planet_earthhttp://semanticommunity.info/Data_Science/Big_Data_Science_for_CODATA/International_Journal_of_Digital_Earth#Issue_3_2011_pages_185-270http://semanticommunity.info/Data_Science/Big_Data_Science_for_CODATA/International_Journal_of_Digital_Earth#The_use_of_high-performance_and_high-throughput_computing_for_the_fertilization_of_digital_earth_and_global_change_studieshttp://semanticommunity.info/Data_Science/Big_Data_Science_for_CODATA/International_Journal_of_Digital_Earth#China_Digital_Ocean_Prototype_Systemhttp://semanticommunity.info/Data_Science/Big_Data_Science_for_CODATA/International_Journal_of_Digital_Earth#Modeling_sprawl_of_unauthorized_development_using_geospatial_technology:_case_study_in_Kuantan_district.2C_Malaysiahttp://semanticommunity.info/Data_Science/Big_Data_Science_for_CODATA/International_Journal_of_Digital_Earth#Drought_mapping_using_Geoinformation_technology_for_some_sites_in_the_Iraqi_Kurdistan_regionhttp://semanticommunity.info/Data_Science/Big_Data_Science_for_CODATA/International_Journal_of_Digital_Earth#Land_use_and_land_cover_changes_over_a_century_(1914.E2.80.932007)_in_the_Neyyar_River_Basin.2C_Kerala:_a_remote_sensing_and_GIS_approachhttp://semanticommunity.info/Data_Science/Big_Data_Science_for_CODATA/International_Journal_of_Digital_Earth#Issue_2_2011_pages_93-184http://semanticommunity.info/Data_Science/Big_Data_Science_for_CODATA/International_Journal_of_Digital_Earth#A_high-level_architecture_for_a_Geomatics_Informatization_Technology_System:_the_Chinese_casehttp://semanticommunity.info/Data_Science/Big_Data_Science_for_CODATA/International_Journal_of_Digital_Earth#Towards_long-multitemporal_change_detection_using_SVI_differencing_by_integrated_DWT.E2.80.93ISOCLUS:_a_model_for_forest_temporal_dynamics_mappinghttp://semanticommunity.info/Data_Science/Big_Data_Science_for_CODATA/International_Journal_of_Digital_Earth#A_block-based_selection_method_for_road_network_generalizationhttp://semanticommunity.info/Data_Science/Big_Data_Science_for_CODATA/International_Journal_of_Digital_Earth#Estimating_evapotranspiration_from_terrestrial_groundwater-dependent_ecosystems_using_Landsat_imageshttp://semanticommunity.info/Data_Science/Big_Data_Science_for_CODATA/International_Journal_of_Digital_Earth#A_virtual_learning_environment_of_the_Chinese_University_of_Hong_Konghttp://semanticommunity.info/Data_Science/Big_Data_Science_for_CODATA/International_Journal_of_Digital_Earth#Airborne_and_terrestrial_laser_scanninghttp://semanticommunity.info/Data_Science/Big_Data_Science_for_CODATA/International_Journal_of_Digital_Earth#Issue_1_2011_pages_1-92http://semanticommunity.info/Data_Science/Big_Data_Science_for_CODATA/International_Journal_of_Digital_Earth#EDITORIALhttp://semanticommunity.info/Data_Science/Big_Data_Science_for_CODATA/International_Journal_of_Digital_Earth#The_global_Landsat_imagery_database_for_the_FAO_FRA_remote_sensing_surveyhttp://semanticommunity.info/Data_Science/Big_Data_Science_for_CODATA/International_Journal_of_Digital_Earth#Production_of_global_land_cover_data_.E2.80.93_GLCNMOhttp://semanticommunity.info/Data_Science/Big_Data_Science_for_CODATA/International_Journal_of_Digital_Earth#Tracking_desertification_on_the_Mongolian_steppe_through_NDVI_and_field-survey_datahttp://semanticommunity.info/Data_Science/Big_Data_Science_for_CODATA/International_Journal_of_Digital_Earth#VGIS-COLLIDE:_an_effective_collision_detection_algorithm_for_multiple_objects_in_virtual_geographic_information_systemhttp://semanticommunity.info/Data_Science/Big_Data_Science_for_CODATA/International_Journal_of_Digital_Earth#SAR_interferometric_coherence_analysis_for_snow_cover_mapping_in_the_western_Himalayan_regionhttp://semanticommunity.info/Data_Science/Big_Data_Science_for_CODATA/International_Journal_of_Digital_Earth#Atlas_of_remote_sensing_of_the_Wenchuan_earthquakehttp://semanticommunity.info/Data_Science/Big_Data_Science_for_CODATA/International_Journal_of_Digital_Earth#Volume_3_2010http://semanticommunity.info/Data_Science/Big_Data_Science_for_CODATA/International_Journal_of_Digital_Earth#Supp_1_2010_pages_1-102http://semanticommunity.info/Data_Science/Big_Data_Science_for_CODATA/International_Journal_of_Digital_Earth#EDITORIAL_2http://semanticommunity.info/Data_Science/Big_Data_Science_for_CODATA/International_Journal_of_Digital_Earth#The_implementation_of_international_geospatial_standards_for_earth_and_space_scienceshttp://semanticommunity.info/Data_Science/Big_Data_Science_for_CODATA/International_Journal_of_Digital_Earth#The_application_of_open_standards_to_enhance_the_interoperability_of_geoscience_informationhttp://semanticommunity.info/Data_Science/Big_Data_Science_for_CODATA/International_Journal_of_Digital_Earth#Geological_applications_using_geospatial_standards_.E2.80.93_an_example_from_OneGeology-Europe_and_GeoSciMLhttp://semanticommunity.info/Data_Science/Big_Data_Science_for_CODATA/International_Journal_of_Digital_Earth#SeaDataNet_.E2.80.93_Pan-European_infrastructure_for_marine_and_ocean_data_management:_unified_access_to_distributed_data_sets
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Category NumberFunder 9Publisher 14Repository 28Researcher 8Researcher / Repository 1MISC - Libraries 2Totals 62
ResponseRespondent1 John Maunsell2 Fred Dylla, Evan Owens3 Dr. Stuart Jeffrey4 Project manager and scientific researcher5 Bruce Becker6 Head of ICES Data Centre, ICES Data manager7 George Slesser8 Ken Casey9 Stein Tronstad
10 Lili Zhang12 Ingunn Stangeby13 Dag Rosland and Olle Morten Grini14 Regina Avila, Research Library15 George Strawn, Director16 Jeffrey de la Beaujardiere, NOAA Data Mgmt Architect17 Sylvia Spengler19 Heidi van Deventer20 Geir Odd Johansen21 Hong Zhang22 23 Bettina Goerner24 Eefke Smit25 Daisy Selematsela26 Susan Veldsman27 Adèle van der Merwe28 Lucia Lötter29 30 31 Henda van der Berg32 Lynn Woolfrey33 Wim Hugo34 Richard Kidd35 Süenje Dallmeier-Tiessen36 Susan Reilly37 Clifford Lynch38 Jack Ochs, David Martinson39 40 Declan Vogt41 42 Carlson & Pfeiffenberger, Chief editors43 Juanette John44 J. Maritz45 Ruth Wilson46 47 R. de Wind48 R. Focke49 Paul Hardaker
50 Lisa Raymond, Associate Library Director51 52 Thomas Hammond53 Jerry Sheehan54 Graham McCann55 Ruth Lagring56 Jon Sears, Carter Glass57 Chris Biemesderfer58 Thomas Peterson and Nancy Ritchie59 Phil Bourne60 Mark Martin61 Jeanne Behnke62 Dan Kowal63 Bob Downs64 Mark Parsons
InstitutionSociety for NeuroscienceAmerican Institute of Physics (AIP)Archaeology Data Service (ADS)British Atmospheric Data Centre (BADC)South African National GridInternational Council for Exploration of the Sea (Oceanographic GroupNational Oceanic and Atmospheric Administrati Research Council of NorwayClimate and Pollution AgencyNational Institute for Standards and Technology National Coordination Office for Networking anNational Oceanic and Atmospheric AdministratiNational Science Foundation (NSF)Council for Scientific and Industrial Research (CSIInstitute of Marine ResearchCouncil for Scientific and Industrial Research (CSIComputer Network Information Center, Chinese SpringerInternational Association of Scientific, TechnicalNational Research Foundation (NRF)Academy of Science for South Africa(ASSAf)Council for Scientific and Industrial Research (CSIHuman Sciences Research Council, South Africa University of the Witwaters Rand (WITS)University of KwaZulu-Natal (UKZN)South African Data Archive (SADA)DATA FIRSTSouth African Environmental Observation NetwoRoyal Society of ChemistryConseil Européen pour la Recherche Nucléair / ELigue Des Bibliothèques Européennes De RecherceCoalition for Networked InformationAmerican Chemical Society (ACS)British Oceanographic Data Centre(BODC)Council for Scientific and Industrial Research (CSIElsevierEarth System Science Data journalCouncil for Scientific and Industrial Research (CSICouncil for Scientific and Industrial Research (CSINatureOpen AIRECouncil for Scientific and Industrial Research (CSICouncil for Scientific and Industrial Research (CSIRoyal Meteorological Society
Library, Woods Hole Oceanographic InstitutionUbiquity PressGlobal Environment FundNational Institute of Health (NIH)Institute of PhysicsBelgian Marine Data Center, Royal Belgian InstituAmerican Geophysical Union (AGU)American Astronomical Society (AAS)National Oceanic and Atmospheric +D57:F57AdmiProtein Data BankDepartment of Energy - Office of Scientific and TNational Aeronautics and Space Administration National Oceanic and Atmospheric AdministratioCenter for International Earth Science InformatiNational Snow and Ice Data Center(NSIDC)
Country Interviewer TypeUS Todd CarpenterPublisherUS Todd CarpenterPublisherUK Sarah CallaghanRepositoryUK Sarah CallaghanRepositorySouth Africa Martie van Dev RepositoryUK Helge Sagen RepositoryUK Helge Sagen RepositoryUS Paul F. Uhlir Repository Helge Sagen RepositoryChina LI Jianhui RepositoryNorway Helge Sagen FunderNorway Helge Sagen FunderUS Paul F. Uhlir FunderUS Paul F. Uhlir FunderUS Paul F. Uhlir FunderUS Paul F. Uhlir FunderSouth Africa Martie van Dev Researcher Helge Sagen ResearcherChina Paul F. Uhlir ResearcherChina LI Jianhui RepositoryGermany Eefke Smit PublisherNL Eefke Smit PublisherSouth Africa Martie van Dev FunderSouth Africa Martie van Dev RepositorySouth Africa Martie van Dev RepositorySouth Africa Martie van Dev RepositorySouth Africa Martie van Dev RepositorySouth Africa Martie van DeventerSouth Africa Martie van Dev RepositorySouth Africa Martie van Dev RepositorySouth Africa Martie van Dev RepositoryUK Eefke Smit PublisherCZ Eefke Smit Researcher/RepositoryEU Eefke Smit MISC - Libraries(CNI) US Todd CarpenterUS Todd CarpenterPublisherUK Sarah CallaghanRepositorySouth Africa Martie van Dev ResearcherNL Sarah CallaghanPublisherUK Sarah CallaghanPublisherSouth Africa Martie van Dev ResearcherSouth Africa Martie van Dev ResearcherUK Sarah CallaghanPublisherEU Sarah CallaghanRepositorySouth Africa Martie van Dev ResearcherSouth Africa Martie van Dev ResearcherUK Sarah CallaghanPublisher
US Helge Sagen RepositoryUK Sarah CallaghanPublisherUS Paul F. Uhlir FunderUS Paul F. Uhlir FunderUK Eefke Smit PublisherBelgium Helge Sagen RepositoryUS Todd CarpenterPublisherUS Todd CarpenterPublisherUS Daniel Cohen RepositoryUS Daniel Cohen RepositoryUS Daniel Cohen RepositoryUS Daniel Cohen RepositoryUS Daniel Cohen RepositoryUS Daniel Cohen RepositoryUS Daniel Cohen Repository
Item DescriptionStorage MB optimal compression per capita (installed capacity)
Approximate CD-ROM equivalent per capitaPercent digital
Telecommunications MB optimal compression per capita per day (effective capacity)General purpose computation MIPS per capita (installed capacity)
1986 1993 2000 2007 Percent annual rate of change 1986-2007539 2866 8988 44716 23
<1 4 12 610.8 3 25 94
0.16 0.23 1.01 27 280.06 0.8 48 968 58
AttributesAnalogData characteristicsData organizational modelsPrimary focusStandards emphasisExamples in scienceMetaphorical terminologyCultural context
Data Publication Big Iron Science Suscholarly publication industrial artisanal, small volume and diverse form, scale, and topics high volumsmall and dhierarchical or relational hierarchicageospatial,data quality, certification, and preservation throughputdata synthedata citation data formatlocal procePANGEA, university repositories EOSDIS, LTERdata author, publisher, data citation data producdata colleclibraries and university research groups (e.g. NSF science directorates) system engplace-based
Map MakinLinked DatacartographWorld Wide Web creationgeospatial many disparate and named entitiesgeospatial linked graphmap-based interoperability and interconnectioncoordinate ontologiesINSPIRE, GIODP, MyGrid, Linked Open Government Datadata sourcedata provider, name, link, resourceland use a computer science and commercial applications (e.g. NSF CISE and W3C)
Category Data Publication Big Iron Science Support Map MakingTrust good moderate good moderateDiscovery poor moderate poor moderatePreservation good poor Variable poorAccess moderate moderate poor/ moderate goodUsability moderate moderate good moderate/goodGovernance poor good poor moderateCredit and accountability good poor/ moderate Variable poor/moderate
Linked DatapoorgoodpoorgoodmoderatepoorVariable
Quantity Value Uncertainty{220} lattice spacing of silicon 192.015 5714 e-12 0.000 0032 e-12alpha particle-electron mass ratio 7294.299 5361 0.000 0029alpha particle mass 6.644 656 75 e-27 0.000 000 29 e-27alpha particle mass energy equivalent 5.971 919 67 e-10 0.000 000 26 e-10alpha particle mass energy equivalent in MeV 3727.379 240 0.000 082alpha particle mass in u 4.001 506 179 125 0.000 000 000 062alpha particle molar mass 4.001 506 179 125 e-3 0.000 000 000 062 e-3alpha particle-proton mass ratio 3.972 599 689 33 0.000 000 000 36Angstrom star 1.000 014 95 e-10 0.000 000 90 e-10atomic mass constant 1.660 538 921 e-27 0.000 000 073 e-27atomic mass constant energy equivalent 1.492 417 954 e-10 0.000 000 066 e-10atomic mass constant energy equivalent in MeV 931.494 061 0.000 021atomic mass unit-electron volt relationship 931.494 061 e6 0.000 021 e6atomic mass unit-hartree relationship 3.423 177 6845 e7 0.000 000 0024 e7atomic mass unit-hertz relationship 2.252 342 7168 e23 0.000 000 0016 e23atomic mass unit-inverse meter relationship 7.513 006 6042 e14 0.000 000 0053 e14atomic mass unit-joule relationship 1.492 417 954 e-10 0.000 000 066 e-10atomic mass unit-kelvin relationship 1.080 954 08 e13 0.000 000 98 e13atomic mass unit-kilogram relationship 1.660 538 921 e-27 0.000 000 073 e-27atomic unit of 1st hyperpolarizability 3.206 361 449 e-53 0.000 000 071 e-53atomic unit of 2nd hyperpolarizability 6.235 380 54 e-65 0.000 000 28 e-65atomic unit of action 1.054 571 726 e-34 0.000 000 047 e-34atomic unit of charge 1.602 176 565 e-19 0.000 000 035 e-19atomic unit of charge density 1.081 202 338 e12 0.000 000 024 e12atomic unit of current 6.623 617 95 e-3 0.000 000 15 e-3atomic unit of electric dipole mom. 8.478 353 26 e-30 0.000 000 19 e-30atomic unit of electric field 5.142 206 52 e11 0.000 000 11 e11atomic unit of electric field gradient 9.717 362 00 e21 0.000 000 21 e21atomic unit of electric polarizability 1.648 777 2754 e-41 0.000 000 0016 e-41atomic unit of electric potential 27.211 385 05 0.000 000 60atomic unit of electric quadrupole mom. 4.486 551 331 e-40 0.000 000 099 e-40atomic unit of energy 4.359 744 34 e-18 0.000 000 19 e-18atomic unit of force 8.238 722 78 e-8 0.000 000 36 e-8atomic unit of length 0.529 177 210 92 e-10 0.000 000 000 17 e-10atomic unit of mag. dipole mom. 1.854 801 936 e-23 0.000 000 041 e-23atomic unit of mag. flux density 2.350 517 464 e5 0.000 000 052 e5atomic unit of magnetizability 7.891 036 607 e-29 0.000 000 013 e-29atomic unit of mass 9.109 382 91 e-31 0.000 000 40 e-31atomic unit of mom.um 1.992 851 740 e-24 0.000 000 088 e-24atomic unit of permittivity 1.112 650 056... e-10 (exact)atomic unit of time 2.418 884 326 502 e-17 0.000 000 000 012 e-17atomic unit of velocity 2.187 691 263 79 e6 0.000 000 000 71 e6Avogadro constant 6.022 141 29 e23 0.000 000 27 e23Bohr magneton 927.400 968 e-26 0.000 020 e-26Bohr magneton in eV/T 5.788 381 8066 e-5 0.000 000 0038 e-5Bohr magneton in Hz/T 13.996 245 55 e9 0.000 000 31 e9Bohr magneton in inverse meters per tesla 46.686 4498 0.000 0010
Bohr magneton in K/T 0.671 713 88 0.000 000 61Bohr radius 0.529 177 210 92 e-10 0.000 000 000 17 e-10Boltzmann constant 1.380 6488 e-23 0.000 0013 e-23Boltzmann constant in eV/K 8.617 3324 e-5 0.000 0078 e-5Boltzmann constant in Hz/K 2.083 6618 e10 0.000 0019 e10Boltzmann constant in inverse meters per kelvin 69.503 476 0.000 063characteristic impedance of vacuum 376.730 313 461... (exact)classical electron radius 2.817 940 3267 e-15 0.000 000 0027 e-15Compton wavelength 2.426 310 2389 e-12 0.000 000 0016 e-12Compton wavelength over 2 pi 386.159 268 00 e-15 0.000 000 25 e-15conductance quantum 7.748 091 7346 e-5 0.000 000 0025 e-5conventional value of Josephson constant 483 597.9 e9 (exact)conventional value of von Klitzing constant 25 812.807 (exact)Cu x unit 1.002 076 97 e-13 0.000 000 28 e-13deuteron-electron mag. mom. ratio -4.664 345 537 e-4 0.000 000 039 e-4deuteron-electron mass ratio 3670.482 9652 0.000 0015deuteron g factor 0.857 438 2308 0.000 000 0072deuteron mag. mom. 0.433 073 489 e-26 0.000 000 010 e-26deuteron mag. mom. to Bohr magneton ratio 0.466 975 4556 e-3 0.000 000 0039 e-3deuteron mag. mom. to nuclear magneton ratio 0.857 438 2308 0.000 000 0072deuteron mass 3.343 583 48 e-27 0.000 000 15 e-27deuteron mass energy equivalent 3.005 062 97 e-10 0.000 000 13 e-10deuteron mass energy equivalent in MeV 1875.612 859 0.000 041deuteron mass in u 2.013 553 212 712 0.000 000 000 077deuteron molar mass 2.013 553 212 712 e-3 0.000 000 000 077 e-3deuteron-neutron mag. mom. ratio -0.448 206 52 0.000 000 11deuteron-proton mag. mom. ratio 0.307 012 2070 0.000 000 0024deuteron-proton mass ratio 1.999 007 500 97 0.000 000 000 18deuteron rms charge radius 2.1424 e-15 0.0021 e-15electric constant 8.854 187 817... e-12 (exact)electron charge to mass quotient -1.758 820 088 e11 0.000 000 039 e11electron-deuteron mag. mom. ratio -2143.923 498 0.000 018electron-deuteron mass ratio 2.724 437 1095 e-4 0.000 000 0011 e-4electron g factor -2.002 319 304 361 53 0.000 000 000 000 53electron gyromag. ratio 1.760 859 708 e11 0.000 000 039 e11electron gyromag. ratio over 2 pi 28 024.952 66 0.000 62electron-helion mass ratio 1.819 543 0761 e-4 0.000 000 0017 e-4electron mag. mom. -928.476 430 e-26 0.000 021 e-26electron mag. mom. anomaly 1.159 652 180 76 e-3 0.000 000 000 27 e-3electron mag. mom. to Bohr magneton ratio -1.001 159 652 180 76 0.000 000 000 000 27electron mag. mom. to nuclear magneton ratio -1838.281 970 90 0.000 000 75electron mass 9.109 382 91 e-31 0.000 000 40 e-31electron mass energy equivalent 8.187 105 06 e-14 0.000 000 36 e-14electron mass energy equivalent in MeV 0.510 998 928 0.000 000 011electron mass in u 5.485 799 0946 e-4 0.000 000 0022 e-4electron molar mass 5.485 799 0946 e-7 0.000 000 0022 e-7electron-muon mag. mom. ratio 206.766 9896 0.000 0052electron-muon mass ratio 4.836 331 66 e-3 0.000 000 12 e-3
electron-neutron mag. mom. ratio 960.920 50 0.000 23electron-neutron mass ratio 5.438 673 4461 e-4 0.000 000 0032 e-4electron-proton mag. mom. ratio -658.210 6848 0.000 0054electron-proton mass ratio 5.446 170 2178 e-4 0.000 000 0022 e-4electron-tau mass ratio 2.875 92 e-4 0.000 26 e-4electron to alpha particle mass ratio 1.370 933 555 78 e-4 0.000 000 000 55 e-4electron to shielded helion mag. mom. ratio 864.058 257 0.000 010electron to shielded proton mag. mom. ratio -658.227 5971 0.000 0072electron-triton mass ratio 1.819 200 0653 e-4 0.000 000 0017 e-4electron volt 1.602 176 565 e-19 0.000 000 035 e-19electron volt-atomic mass unit relationship 1.073 544 150 e-9 0.000 000 024 e-9electron volt-hartree relationship 3.674 932 379 e-2 0.000 000 081 e-2electron volt-hertz relationship 2.417 989 348 e14 0.000 000 053 e14electron volt-inverse meter relationship 8.065 544 29 e5 0.000 000 18 e5electron volt-joule relationship 1.602 176 565 e-19 0.000 000 035 e-19electron volt-kelvin relationship 1.160 4519 e4 0.000 0011 e4electron volt-kilogram relationship 1.782 661 845 e-36 0.000 000 039 e-36elementary charge 1.602 176 565 e-19 0.000 000 035 e-19elementary charge over h 2.417 989 348 e14 0.000 000 053 e14Faraday constant 96 485.3365 0.0021Faraday constant for conventional electric current 96 485.3321 0.0043Fermi coupling constant 1.166 364 e-5 0.000 005 e-5fine-structure constant 7.297 352 5698 e-3 0.000 000 0024 e-3first radiation constant 3.741 771 53 e-16 0.000 000 17 e-16first radiation constant for spectral radiance 1.191 042 869 e-16 0.000 000 053 e-16hartree-atomic mass unit relationship 2.921 262 3246 e-8 0.000 000 0021 e-8hartree-electron volt relationship 27.211 385 05 0.000 000 60Hartree energy 4.359 744 34 e-18 0.000 000 19 e-18Hartree energy in eV 27.211 385 05 0.000 000 60hartree-hertz relationship 6.579 683 920 729 e15 0.000 000 000 033 e15hartree-inverse meter relationship 2.194 746 313 708 e7 0.000 000 000 011 e7hartree-joule relationship 4.359 744 34 e-18 0.000 000 19 e-18hartree-kelvin relationship 3.157 7504 e5 0.000 0029 e5hartree-kilogram relationship 4.850 869 79 e-35 0.000 000 21 e-35helion-electron mass ratio 5495.885 2754 0.000 0050helion g factor -4.255 250 613 0.000 000 050helion mag. mom. -1.074 617 486 e-26 0.000 000 027 e-26helion mag. mom. to Bohr magneton ratio -1.158 740 958 e-3 0.000 000 014 e-3helion mag. mom. to nuclear magneton ratio -2.127 625 306 0.000 000 025helion mass 5.006 412 34 e-27 0.000 000 22 e-27helion mass energy equivalent 4.499 539 02 e-10 0.000 000 20 e-10helion mass energy equivalent in MeV 2808.391 482 0.000 062helion mass in u 3.014 932 2468 0.000 000 0025helion molar mass 3.014 932 2468 e-3 0.000 000 0025 e-3helion-proton mass ratio 2.993 152 6707 0.000 000 0025hertz-atomic mass unit relationship 4.439 821 6689 e-24 0.000 000 0031 e-24hertz-electron volt relationship 4.135 667 516 e-15 0.000 000 091 e-15hertz-hartree relationship 1.519 829 846 0045 e-1 0.000 000 000 0076 e-1
hertz-inverse meter relationship 3.335 640 951... e-9 (exact)hertz-joule relationship 6.626 069 57 e-34 0.000 000 29 e-34hertz-kelvin relationship 4.799 2434 e-11 0.000 0044 e-11hertz-kilogram relationship 7.372 496 68 e-51 0.000 000 33 e-51inverse fine-structure constant 137.035 999 074 0.000 000 044inverse meter-atomic mass unit relationship 1.331 025 051 20 e-15 0.000 000 000 94 e-15inverse meter-electron volt relationship 1.239 841 930 e-6 0.000 000 027 e-6inverse meter-hartree relationship 4.556 335 252 755 e-8 0.000 000 000 023 e-8inverse meter-hertz relationship 299 792 458 (exact)inverse meter-joule relationship 1.986 445 684 e-25 0.000 000 088 e-25inverse meter-kelvin relationship 1.438 7770 e-2 0.000 0013 e-2inverse meter-kilogram relationship 2.210 218 902 e-42 0.000 000 098 e-42inverse of conductance quantum 12 906.403 7217 0.000 0042Josephson constant 483 597.870 e9 0.011 e9joule-atomic mass unit relationship 6.700 535 85 e9 0.000 000 30 e9joule-electron volt relationship 6.241 509 34 e18 0.000 000 14 e18joule-hartree relationship 2.293 712 48 e17 0.000 000 10 e17joule-hertz relationship 1.509 190 311 e33 0.000 000 067 e33joule-inverse meter relationship 5.034 117 01 e24 0.000 000 22 e24joule-kelvin relationship 7.242 9716 e22 0.000 0066 e22joule-kilogram relationship 1.112 650 056... e-17 (exact)kelvin-atomic mass unit relationship 9.251 0868 e-14 0.000 0084 e-14kelvin-electron volt relationship 8.617 3324 e-5 0.000 0078 e-5kelvin-hartree relationship 3.166 8114 e-6 0.000 0029 e-6kelvin-hertz relationship 2.083 6618 e10 0.000 0019 e10kelvin-inverse meter relationship 69.503 476 0.000 063kelvin-joule relationship 1.380 6488 e-23 0.000 0013 e-23kelvin-kilogram relationship 1.536 1790 e-40 0.000 0014 e-40kilogram-atomic mass unit relationship 6.022 141 29 e26 0.000 000 27 e26kilogram-electron volt relationship 5.609 588 85 e35 0.000 000 12 e35kilogram-hartree relationship 2.061 485 968 e34 0.000 000 091 e34kilogram-hertz relationship 1.356 392 608 e50 0.000 000 060 e50kilogram-inverse meter relationship 4.524 438 73 e41 0.000 000 20 e41kilogram-joule relationship 8.987 551 787... e16 (exact)kilogram-kelvin relationship 6.509 6582 e39 0.000 0059 e39lattice parameter of silicon 543.102 0504 e-12 0.000 0089 e-12Loschmidt constant (273.15 K, 100 kPa) 2.651 6462 e25 0.000 0024 e25Loschmidt constant (273.15 K, 101.325 kPa) 2.686 7805 e25 0.000 0024 e25mag. constant 12.566 370 614... e-7 (exact)mag. flux quantum 2.067 833 758 e-15 0.000 000 046 e-15molar gas constant 8.314 4621 0.000 0075molar mass constant 1 e-3 (exact)molar mass of carbon-12 12 e-3 (exact)molar Planck constant 3.990 312 7176 e-10 0.000 000 0028 e-10molar Planck constant times c 0.119 626 565 779 0.000 000 000 084molar volume of ideal gas (273.15 K, 100 kPa) 22.710 953 e-3 0.000 021 e-3molar volume of ideal gas (273.15 K, 101.325 kPa) 22.413 968 e-3 0.000 020 e-3molar volume of silicon 12.058 833 01 e-6 0.000 000 80 e-6
Mo x unit 1.002 099 52 e-13 0.000 000 53 e-13muon Compton wavelength 11.734 441 03 e-15 0.000 000 30 e-15muon Compton wavelength over 2 pi 1.867 594 294 e-15 0.000 000 047 e-15muon-electron mass ratio 206.768 2843 0.000 0052muon g factor -2.002 331 8418 0.000 000 0013muon mag. mom. -4.490 448 07 e-26 0.000 000 15 e-26muon mag. mom. anomaly 1.165 920 91 e-3 0.000 000 63 e-3muon mag. mom. to Bohr magneton ratio -4.841 970 44 e-3 0.000 000 12 e-3muon mag. mom. to nuclear magneton ratio -8.890 596 97 0.000 000 22muon mass 1.883 531 475 e-28 0.000 000 096 e-28muon mass energy equivalent 1.692 833 667 e-11 0.000 000 086 e-11muon mass energy equivalent in MeV 105.658 3715 0.000 0035muon mass in u 0.113 428 9267 0.000 000 0029muon molar mass 0.113 428 9267 e-3 0.000 000 0029 e-3muon-neutron mass ratio 0.112 454 5177 0.000 000 0028muon-proton mag. mom. ratio -3.183 345 107 0.000 000 084muon-proton mass ratio 0.112 609 5272 0.000 000 0028muon-tau mass ratio 5.946 49 e-2 0.000 54 e-2natural unit of action 1.054 571 726 e-34 0.000 000 047 e-34natural unit of action in eV s 6.582 119 28 e-16 0.000 000 15 e-16natural unit of energy 8.187 105 06 e-14 0.000 000 36 e-14natural unit of energy in MeV 0.510 998 928 0.000 000 011natural unit of length 386.159 268 00 e-15 0.000 000 25 e-15natural unit of mass 9.109 382 91 e-31 0.000 000 40 e-31natural unit of mom.um 2.730 924 29 e-22 0.000 000 12 e-22natural unit of mom.um in MeV/c 0.510 998 928 0.000 000 011natural unit of time 1.288 088 668 33 e-21 0.000 000 000 83 e-21natural unit of velocity 299 792 458 (exact)neutron Compton wavelength 1.319 590 9068 e-15 0.000 000 0011 e-15neutron Compton wavelength over 2 pi 0.210 019 415 68 e-15 0.000 000 000 17 e-15neutron-electron mag. mom. ratio 1.040 668 82 e-3 0.000 000 25 e-3neutron-electron mass ratio 1838.683 6605 0.000 0011neutron g factor -3.826 085 45 0.000 000 90neutron gyromag. ratio 1.832 471 79 e8 0.000 000 43 e8neutron gyromag. ratio over 2 pi 29.164 6943 0.000 0069neutron mag. mom. -0.966 236 47 e-26 0.000 000 23 e-26neutron mag. mom. to Bohr magneton ratio -1.041 875 63 e-3 0.000 000 25 e-3neutron mag. mom. to nuclear magneton ratio -1.913 042 72 0.000 000 45neutron mass 1.674 927 351 e-27 0.000 000 074 e-27neutron mass energy equivalent 1.505 349 631 e-10 0.000 000 066 e-10neutron mass energy equivalent in MeV 939.565 379 0.000 021neutron mass in u 1.008 664 916 00 0.000 000 000 43neutron molar mass 1.008 664 916 00 e-3 0.000 000 000 43 e-3neutron-muon mass ratio 8.892 484 00 0.000 000 22neutron-proton mag. mom. ratio -0.684 979 34 0.000 000 16neutron-proton mass difference 2.305 573 92 e-30 0.000 000 76 e-30neutron-proton mass difference energy equivalent 2.072 146 50 e-13 0.000 000 68 e-13neutron-proton mass difference energy equivalent i 1.293 332 17 0.000 000 42
neutron-proton mass difference in u 0.001 388 449 19 0.000 000 000 45neutron-proton mass ratio 1.001 378 419 17 0.000 000 000 45neutron-tau mass ratio 0.528 790 0.000 048neutron to shielded proton mag. mom. ratio -0.684 996 94 0.000 000 16Newtonian constant of gravitation 6.673 84 e-11 0.000 80 e-11Newtonian constant of gravitation over h-bar c 6.708 37 e-39 0.000 80 e-39nuclear magneton 5.050 783 53 e-27 0.000 000 11 e-27nuclear magneton in eV/T 3.152 451 2605 e-8 0.000 000 0022 e-8nuclear magneton in inverse meters per tesla 2.542 623 527 e-2 0.000 000 056 e-2nuclear magneton in K/T 3.658 2682 e-4 0.000 0033 e-4nuclear magneton in MHz/T 7.622 593 57 0.000 000 17Planck constant 6.626 069 57 e-34 0.000 000 29 e-34Planck constant in eV s 4.135 667 516 e-15 0.000 000 091 e-15Planck constant over 2 pi 1.054 571 726 e-34 0.000 000 047 e-34Planck constant over 2 pi in eV s 6.582 119 28 e-16 0.000 000 15 e-16Planck constant over 2 pi times c in MeV fm 197.326 9718 0.000 0044Planck length 1.616 199 e-35 0.000 097 e-35Planck mass 2.176 51 e-8 0.000 13 e-8Planck mass energy equivalent in GeV 1.220 932 e19 0.000 073 e19Planck temperature 1.416 833 e32 0.000 085 e32Planck time 5.391 06 e-44 0.000 32 e-44proton charge to mass quotient 9.578 833 58 e7 0.000 000 21 e7proton Compton wavelength 1.321 409 856 23 e-15 0.000 000 000 94 e-15proton Compton wavelength over 2 pi 0.210 308 910 47 e-15 0.000 000 000 15 e-15proton-electron mass ratio 1836.152 672 45 0.000 000 75proton g factor 5.585 694 713 0.000 000 046proton gyromag. ratio 2.675 222 005 e8 0.000 000 063 e8proton gyromag. ratio over 2 pi 42.577 4806 0.000 0010proton mag. mom. 1.410 606 743 e-26 0.000 000 033 e-26proton mag. mom. to Bohr magneton ratio 1.521 032 210 e-3 0.000 000 012 e-3proton mag. mom. to nuclear magneton ratio 2.792 847 356 0.000 000 023proton mag. shielding correction 25.694 e-6 0.014 e-6proton mass 1.672 621 777 e-27 0.000 000 074 e-27proton mass energy equivalent 1.503 277 484 e-10 0.000 000 066 e-10proton mass energy equivalent in MeV 938.272 046 0.000 021proton mass in u 1.007 276 466 812 0.000 000 000 090proton molar mass 1.007 276 466 812 e-3 0.000 000 000 090 e-3proton-muon mass ratio 8.880 243 31 0.000 000 22proton-neutron mag. mom. ratio -1.459 898 06 0.000 000 34proton-neutron mass ratio 0.998 623 478 26 0.000 000 000 45proton rms charge radius 0.8775 e-15 0.0051 e-15proton-tau mass ratio 0.528 063 0.000 048quantum of circulation 3.636 947 5520 e-4 0.000 000 0024 e-4quantum of circulation times 2 7.273 895 1040 e-4 0.000 000 0047 e-4Rydberg constant 10 973 731.568 539 0.000 055Rydberg constant times c in Hz 3.289 841 960 364 e15 0.000 000 000 017 e15Rydberg constant times hc in eV 13.605 692 53 0.000 000 30Rydberg constant times hc in J 2.179 872 171 e-18 0.000 000 096 e-18
Sackur-Tetrode constant (1 K, 100 kPa) -1.151 7078 0.000 0023Sackur-Tetrode constant (1 K, 101.325 kPa) -1.164 8708 0.000 0023second radiation constant 1.438 7770 e-2 0.000 0013 e-2shielded helion gyromag. ratio 2.037 894 659 e8 0.000 000 051 e8shielded helion gyromag. ratio over 2 pi 32.434 100 84 0.000 000 81shielded helion mag. mom. -1.074 553 044 e-26 0.000 000 027 e-26shielded helion mag. mom. to Bohr magneton ratio -1.158 671 471 e-3 0.000 000 014 e-3shielded helion mag. mom. to nuclear magneton rati -2.127 497 718 0.000 000 025shielded helion to proton mag. mom. ratio -0.761 766 558 0.000 000 011shielded helion to shielded proton mag. mom. ratio -0.761 786 1313 0.000 000 0033shielded proton gyromag. ratio 2.675 153 268 e8 0.000 000 066 e8shielded proton gyromag. ratio over 2 pi 42.576 3866 0.000 0010shielded proton mag. mom. 1.410 570 499 e-26 0.000 000 035 e-26shielded proton mag. mom. to Bohr magneton ratio 1.520 993 128 e-3 0.000 000 017 e-3shielded proton mag. mom. to nuclear magneton rati2.792 775 598 0.000 000 030speed of light in vacuum 299 792 458 (exact)standard acceleration of gravity 9.806 65 (exact)standard atmosphere 101 325 (exact)standard-state pressure 100 000 (exact)Stefan-Boltzmann constant 5.670 373 e-8 0.000 021 e-8tau Compton wavelength 0.697 787 e-15 0.000 063 e-15tau Compton wavelength over 2 pi 0.111 056 e-15 0.000 010 e-15tau-electron mass ratio 3477.15 0.31tau mass 3.167 47 e-27 0.000 29 e-27tau mass energy equivalent 2.846 78 e-10 0.000 26 e-10tau mass energy equivalent in MeV 1776.82 0.16tau mass in u 1.907 49 0.000 17tau molar mass 1.907 49 e-3 0.000 17 e-3tau-muon mass ratio 16.8167 0.0015tau-neutron mass ratio 1.891 11 0.000 17tau-proton mass ratio 1.893 72 0.000 17Thomson cross section 0.665 245 8734 e-28 0.000 000 0013 e-28triton-electron mass ratio 5496.921 5267 0.000 0050triton g factor 5.957 924 896 0.000 000 076triton mag. mom. 1.504 609 447 e-26 0.000 000 038 e-26triton mag. mom. to Bohr magneton ratio 1.622 393 657 e-3 0.000 000 021 e-3triton mag. mom. to nuclear magneton ratio 2.978 962 448 0.000 000 038triton mass 5.007 356 30 e-27 0.000 000 22 e-27triton mass energy equivalent 4.500 387 41 e-10 0.000 000 20 e-10triton mass energy equivalent in MeV 2808.921 005 0.000 062triton mass in u 3.015 500 7134 0.000 000 0025triton molar mass 3.015 500 7134 e-3 0.000 000 0025 e-3triton-proton mass ratio 2.993 717 0308 0.000 000 0025unified atomic mass unit 1.660 538 921 e-27 0.000 000 073 e-27von Klitzing constant 25 812.807 4434 0.000 0084weak mixing angle 0.2223 0.0021Wien frequency displacement law constant 5.878 9254 e10 0.000 0053 e10Wien wavelength displacement law constant 2.897 7721 e-3 0.000 0026 e-3
Unitm
kgJMeVukg mol^-1
mkgJMeVeVE_hHzm^-1JKkgC^3 m^3 J^-2C^4 m^4 J^-3J sCC m^-3AC mV m^-1V m^-2C^2 m^2 J^-1VC m^2JNmJ T^-1TJ T^-2kgkg m s^-1F m^-1sm s^-1mol^-1J T^-1eV T^-1Hz T^-1m^-1 T^-1
K T^-1mJ K^-1eV K^-1Hz K^-1m^-1 K^-1ohmmmmSHz V^-1ohmm
J T^-1
kgJMeVukg mol^-1
mF m^-1C kg^-1
s^-1 T^-1MHz T^-1
J T^-1
kgJMeVukg mol^-1
JuE_hHzm^-1JKkgCA J^-1C mol^-1C_90 mol^-1GeV^-2
W m^2W m^2 sr^-1ueVJeVHzm^-1JKkg
J T^-1
kgJMeVukg mol^-1
ueVE_h
m^-1JKkg
ueVE_hHzJKkgohmHz V^-1ueVE_hHzm^-1KkgueVE_hHzm^-1JkgueVE_hHzm^-1JKmm^-3m^-3N A^-2WbJ mol^-1 K^-1kg mol^-1kg mol^-1J s mol^-1J m mol^-1m^3 mol^-1m^3 mol^-1m^3 mol^-1
mmm
J T^-1
kgJMeVukg mol^-1
J seV sJMeVmkgkg m s^-1MeV/csm s^-1mm
s^-1 T^-1MHz T^-1J T^-1
kgJMeVukg mol^-1
m^3 kg^-1 s^-2(GeV/c^2)^-2J T^-1eV T^-1m^-1 T^-1K T^-1MHz T^-1J seV sJ seV sMeV fmmkgGeVKsC kg^-1mm
s^-1 T^-1MHz T^-1J T^-1
kgJMeVukg mol^-1
m
m^2 s^-1m^2 s^-1m^-1HzeVJ
m Ks^-1 T^-1MHz T^-1J T^-1
s^-1 T^-1MHz T^-1J T^-1
m s^-1m s^-2PaPaW m^-2 K^-4mm
kgJMeVukg mol^-1
m^2
J T^-1
kgJMeVukg mol^-1
kgohm
Hz K^-1m K
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Mrs. Catherine Droniou HYDROGENE DATA Centre d'Etudes de Chimie Metallurgique (CNRS/CECM) Ferrous and non-ferrous metals, ceramics: interaction of hydrogen with materials. 15, rue Georges Urbain 94407 Vitry-sur-Seine Cedex FRANCE Telephone: +33 1 46873593 Fax: +33 1 46750433
Dr. G. Effenberg MSI-Phase Diagram Centre Materials Science Int. Services, GmbH Postfach 800749, D-70507 Stuttgart GERMANY Telephone: +49 711 6771240 Fax: +49 711 6771248
Mrs. M. A. Fleming ASM International Route 87, Materials Park, OH 44073-0002 USA Telephone: +1 216 3385151 Fax: +1 216 3384334
Ms. S. K. Foss Fatdb Deere & Company Ferrous material monotonic, low cycle fatigue, chemical and metallurgy data developed and housed at the Technical Center. Technical Center, 3300 River Drive, Moline, IL 61265 USA Telephone: +1 309 7653820 Fax: +1 309 7653807
Mr. Daniel G. Friend NIST 14 National Institute of Standards and Technology (NIST) Calculates thermophysical properties of selected fluids and their mixtures. Fluid Mixtures Data Center Thermophysics Division, 838.08 325 Broadway, Boulder CO 80303 USA Telephone: +1 303 4975424 Fax: +1 303 4975224
Dr. Bruce S. Hemingway THERM PROP
Thermodynamic properties of minerals and related substances.
Email: [email protected]
Telephone: +86 230505921
Retrieval system for metallic materials.
Telex: 3822-72722
Ceramics machining database
Fax: +1 301 990872923
Email: [email protected]_stuttgart.de24
Reynolds Avenue, Scottish Enterprise Technology Park
Email: [email protected] Fatigue strength of metallic materials.
Resistance to crack propagation of metallic materials.Ceramics strength.
U S Geological Survey National Center for Thermodynamic Data of Minerals 955 National Center, Reston, UA 22092 USA Telephone: +1 703 6486740 Fax: +1 703 6486789
Sen. Eng. Hu, Xing-jun DPWA/Datbase of Polymer Weathering Aging Research Institute of Synthetic Materials Ageing Weathering Aging of Polymers (plastics, rubber, painting), data of mechanical properties in six areas of China Tangxia, Tianhe, Guangzhou (510665) CHINA
Dr. Takao Inukai Fatigue Data Toshiba Corporation Heavy Apparatus Engineering Laboratory 1-9 Suehirocho, Tsurumiku, Yokohama 230 JAPAN Telephone: +81 45 5096681 Fax: +81 45 5096792
Dr. Said Jahanmir TRIBOMATERIALS DATABASE National Institute of Standards and Technology (NIST) A329 Materials Building, Gaithersburg, MD 20899 USA Telephone: +1 301 9753671
Mr. G. Jaroma-Weiland THERSYST Institute for Nuclear Energy and Energy Systems Factual database for thermophysical properties of solids.University of Stuttgart, FRG, Pfaffenwaldring 31, D-70550 Stuttgart GERMANY Telephone: +49 711 6852125 Fax: +49 711 6852010
Dr. A. I. Johns PPDS National Engineering Laboratory (NEL) Thermophysical properties of fluids (liquids and gases).Fluids and Process Technologies Division
East Kilbride, Scotland G75 0QU UK Telephone: +44 1355 272152 Fax: +44 1355 272265
Prof. Dr. Masahiro Jono The Society of Materials Science, Japan Yoshida Izumidono-cho 1-101, Sakyo-ku, Kyoto 606
Fax: +81 75 761532526
Properties and specifications for aluminum alloys and products.
Email: [email protected]
Information on the sources, supply and uses of more than 1600 brands of wood-based panels traded in the UK.
Email: [email protected]
Fatigue related data for crack initiation and propagation.
Email: [email protected]
Fax: +81 424 74198030 Fatigue strength of metallic materials.
Resistance to crack propagation of metallic materials.Ceramics strength.
Fax: +81 75 761532531
numerical data and other information pertaining to the safety of substances and materials.
Email: [email protected]
JAPAN Telephone: +81 75 7615321
Mr. J. G. Kaufman AAASD Aluminum Association 3662 Pevensey Drive, Columbus, OH 43220 USA Telephone: +1 614 4593949 Fax: +1 614 4593949
Dr. V. Kearley PPD TRADA Technology Ltd Stocking Lane, Hughenden Valley High Wycombe, Bucks HP14 4ND UK Telephone: +44 1494 563091 Fax: +44 1494 565487
Mr. Turqui Kharchi nSOFT FATIMAS MDM nCode International Limited 230 Woodburn Road, Sheffield S9 3LQ UK Telephone: +44 114 2755292 Fax: +44 114 2758272
Prof. Dr. Koji Kokubo Machinability DatabaseTechnical Research Institute Japan Society for the Promotion of Machine Industry 1-1-12 Hachimancho, Higashi-Kurume, Tokyo 203 JAPAN Telephone: +81 424 751177
Prof. Kenjiro Komai The Society of Materials Science, Japan Yoshida Izumidono-cho 1-101, Sakyo-ku, Kyoto 606 JAPAN Telephone: +81 75 7615321
Dr. Jelal Kouznetsov Materials Safety Data Sheets VNITS SMV, Gosstandart Russia 21, Dolgorukovskaya Str., Moscow, 103006 RUSSIA Telephone: +7 095 5788850 Fax: +7 095 9732549
32 GOSMATERIALBANKData and information on materials manufactured in Russia, including all industrial fluids.
Email: [email protected]
34
Email: [email protected]
Bibliographic database (1977), referring to British and worldwide hazardous substances.
Fax: +44 114 289233336
Email: [email protected]
Equation of State data over broad temperature-density range, ferrous and non-ferrous metals, plastics, composites, and ceramics.
Email: [email protected]
Prof. Alexander D. Kozlov Russian Research Center for Material Problems 21, Dolgorukovskaya Str., Moscow, 103006 RUSSIA Telephone: +7 095 9780190 Fax: +7 095 9786877
Ms. Sonja Krause Polymer-Polymer miscibility Rensselaer Polytechnic Institute Experimental data on inter-miscibility of polymers and assessment thereof. Department of Chemistry Troy, NY 12180-3590 USA Telephone: +1 518 2768445 Fax: +1 518 2768554 Email: userap3q@rpitsmtsMr. Claude Le Breton CETIM-BDM CETIM Physical and mechanical characteristics of engineering materials: steels, cast irons, non-ferrous, polymers, composites, adhesives. Physical, mechanical, fatigue properties. Multi-criteria selection. 52, ave Felix Louat, B.P. 67, 60304 Senlis Cedex FRANCE Telephone: +33 3 44583326 Fax: +33 3 44583158 Telex: 140006
Mr. Richard Lewis HSELINE Health and Safety Executive Broad Lane, Sheffield S3 7HQ UK Telephone: +44 114 2892342
Prof. Lu, Yunwen ACDB/Advanced Ceramics Data Base Tsinghua University Composition, physical and mechanical properties of silicon nitrides and zirconia.321, Main Building, Tsinghua University, Beijing 100084 CHINA Telephone: +86 10 2595767 Fax: +86 10 2562768 Telex: 22617 QHTSC CN
Mr. Stanford Lyon SESAME Los Alamos National Laboratory Group T-1, MS-B221, LANL, Los Alamos, NM 87545 USA Telephone: +1 505 6677024 Fax: +1 505 6655757
Dr. Jurij V. Mamonov Database and System on Thermophysical Properties of Fluids
Fax: +7 095 978687739
Email: [email protected]
Email: [email protected] MIS
Expert information on all aspects of engineering materials' use and processing.
Email: [email protected]
Certified materials.
Telex: 970 194 F43
Fax: +81 3 595025544
VNITS SMV 21, Dolgorukovskaya, Moscow 103006 (ASSISTENT) RUSSIA Data on thermophysical properties of fluids and mixtures for research and development.Telephone: +7 095 9780386
Mr. Douglas E. Marinaro MSC/MVISION The MacNeal-Schwendler Corporation Information for predictive engineering, ensuring consistent data for engineers evaluating new designs and reducing cycle time by integrating materials data directly into CAD/CAE. 2975 Redhill Avenue, Costa Mesa, CA 92626 USA Telephone: +1 714 4445072 Fax: +1 714 9792990
Mr. Yves Mégoz VULCAIN BdM PLUS [Access Télétel: 01 36 29 00 68] Centre Technique de l'Industrie du Décolletage Materials data bank, normative reference equivalents, chemical composition, mechanical and physical characteristics, manufacturing conditions, suppliers, choice guide. Ferrous and non-ferrous metals, plastics. 750, Avenue de Colomby, BP 65, 74301 Cluses Cedex FRANCE Telephone: +33 4 50983898 Fax: +33 4 50983898 Telex: 385 213
Mrs. Gill Money Materials Information Service The Institute of Materials 1 Carlton House Terrace, London SW1Y 5DB UK Telephone: +44 171 8394071 Fax: +44 171 8395513
Mr. Patrick Morand CSTB Centre Scientifique et Technique du Bâtiment (CSTB) 290, route des Lucioles, BP 141, 06561 Valbonne Cedex FRANCE Telephone: +33 4 93956735 Fax: +33 4 93652937
Mr. Takeshi Morikawa INTERGLAD Glass database on compositions and properties. New Glass Forum Japan Glass Industries Center Building, 3-1-9 Shimbashi, Minatoku Tokyo 105 JAPAN Telephone: +81 3 5952775
Dr. Masatoshi Nihei DIMS Materials strength and life prediction system for engineering.National Research Institute for Metals (NRIM) 1-2-1 Sengen, Tsukuba 305
Email: [email protected]
Email: [email protected] Dr. H. H. O
Joint Research Centre of the European CommissionInstitute Energy
NETHERLANDSTelephone: +31 224 565256Fax: +31 224 56565632
47Properties of optical materials 300-2500nm. Plastics, coatings/glass.
Email: [email protected]
Literature compilation on composite materials. manufacturer's data on composite materials, compilation of slides and addresses.
Fax: +33 5 5664903049
Directory of sources of materials information available to UK users.
Email: [email protected]
JAPAN Telephone: +81 298 531215 Fax: +81 298 531091
Dr. Satoshi Nishijima NRIM-JICST Materials Strength Database Strength data for engineering steels and alloys.National Research Institute for Metals (NRIM) Center for Advanced Physical Fields 1-2-1 Sengen, Tsukuba 305 JAPAN Telephone: +81 298 531071 Fax: +81 298 531019
MAT-DB Materials database for mechanical and physical properties data of engineering alloys including high temperature corrosion for exposed alloys, ceramics and coatings.
PO Box 2, Petten, NL-1755 ZG
Email:[email protected] Mr. Richard B. Pettit Optical Materials Properties Sandia National Laboratories Division 7243, P O Box 5800 Albuquerque, NM 87185 USA Telephone: +1 505 8446242 Fax: +1 505 8444372
Mrs. M. J. Rami Composite Data Institut des Matériaux Composites Site Montesquieu, 33650 Martillac FRANCE Telephone: +33 5 56649090
Mr. Keith Reynard UK Materials Information Sources Wilkinson Consultancy Stable Cottage, Broad Lane Newdigate, Dorking, Surrey RH5 5AT UK Telephone: +44 1306 631247 Fax: +44 1306 631896
Dr. John R. Rodgers CRYSTMET TOTH Information Systems Inc. Crystallographic, chemical, physical and related bibliographical data for metallics and intermetallics.Montreal Road, Bldg. M-55
Email: [email protected]
German database for the papermaking and paper converting industry.
Email: [email protected]
Compilation of experimental data on fatigue strength of metallic materials and related information.
Email: [email protected]
Email: [email protected]
Data for springs.
Email: [email protected]
Chemical, physical and crystallographic information useful in characterizing more than 210 403 inorganic and organic crystalline materials.
Email: SRDThermal, mechanical and corrosion properties of silicon carbides and silicon nitrides in a self-contained database system.56
Ottawa, Ontario, K1A 0S2 CANADA Telephone: +1 613 9989076 Fax: +1 613 9528246
Ms. Anneliese Sachs-Brandt Papiertechnik-Datenbank Papiertechnische Stiftung PTS Hess-Strasse 134, D-80797 München GERMANY Telephone: +49 89 121460 Fax: +49 89 1236592
Prof. Tatsuo Sakai FASMET: database on Fatigue Strength of Metallic Materials Ritsumeikan University Faculty of Science and Engineering CRAMET: database on Fatigue Crack Growth Rates of Metallic Materials Compilation of experimental data on fatigue crack growth rates of metallic materials and related information.1916 Nojicho Kusatsu, Shiga 525 MSDRD: Material Strength Database for Reliability Design Compilation of experimental data on statistical distribution of mechanical properties for metallic, composite and ceramic materials.JAPAN Telephone: +81 775 612745 Fax: +81 775 612665
Mr. Akira Sakamoto PRODACOM R&D Institute of Metals and Composites for Future Industries The research project on advanced composites materials performed in Japan from 1981 to 1988, the fact data of tested materials' properties have been stored in PRODACOMBridgestone Toranomon Bldg. 25-2, Toranomon 3-chome, Minato-ku, Tokyo 105 JAPAN Telephone: +81 3 34596900 Fax: +81 3 34596911
Mr. Masao Sakamoto JSSR Database National Research Institute for Metals (NRIM) 5th Research Group 1-2-1 Sengen, Tsukuba 305 JAPAN Telephone: +81 298 531215 Fax: +81 298 531091
Ms. Joan Sauerwein NIST Crystal Data National Institute of Standards and Technology (NIST) Standard Reference Data Program NIST/Sandia/ICDD Electron Diffraction Database Room 113, Bldg. 820, Gaithersburg, MD 20899 Contains chemical, physical and crystallographic information on a wide variety of materials (over 81 534), including minerals, metals, intermetallics and general inorganic compounds.USA NIST High Temperature Superconductors Database Telephone: +1 301 9752208 Materials properties for high temperature superconductors, providing evaluated property data for oxide superconductors. Covers compounds from Y-Ba-Cu-O, Bi-Sr-Ca-Cu-O, Tl-Sr-Ca-Cu-O and La-Cu-O chemical families,and variants of cuprate and bismate materials.Fax: +1 301 9260416 NIST Structural Ceramics Database: Version 2.0
Mr. J. Sears Electronic Materials Information Service (EMIS)
Semiconductors, etc., properties, growth and processing of electronic materials.
Email: [email protected]
Email: [email protected]
Ferrous and non-ferrous metallic materials data for nuclear applications.
Email: [email protected]
Fatigue data processing system.
Fax: +81 439 80274460
61Being developed: database to evaluate whether advanced composite materials are environmentally friendly or not.
Institute of Electrical Engineers Michael Faraday House Six Hills Way, Stevenage, Herts SG1 2AY UK Telephone: +44 1438 313311 Fax: +44 1438 360079 Telex: 825578 IEESTV G
P. Eng C. Seni International Database on Aging AECL-CANDU Management and Life Extension on Nuclear Materials properties and performance database, reinforced and prestressed concrete.2251 Speakman Drive, Mississauga, Ontario, L5K 1A2 CANADA Telephone: +1 905 8239040/3103 and +1 905 8272784 Fax: +1 905 8239754
Mr. Masami Shindo JAERI Material Performance Database (JMPD) Japan Atomic Energy Research Institute Department of Materials Science and Engineering JAERI, Tokai-mura, Naga-gun, Ibaraki-ken, 319-11 JAPAN Telephone: +81 029 2825381 Fax: +81 029 2825922
Dr. Isao Soya FADAPS Nippon Steel Corporation Steel Research Laboratories 20-1 Shintomi, Futtsu 293 JAPAN Telephone: +81 439 802214
Prof. Roland Streiff C and HTC-DATA CDC Université de Provence Coatings and high temperature corrosion: includes five databases, four of them active. 3, place Victor Hugo, 13331 Marseille Cedex 3 FRANCE Telephone: +33 4 91106449 Fax: +33 4 91854110 Telex: 402014 Email: [email protected] Dr. Jun Takahashi M-LCADB for ACM National Institute of Materials and Chemical Research (NIMC) AIST, MITI 1-1 Higashi, Tsukuba 305 JAPAN Telephone: +81 298 546296 Fax: +81 298 546232
Email: [email protected]
A comprehensive system for PC or UNIX containing machining data for over 3750 work materials, over 40 machining operations delivering more than 90 000 recommendations. Calculates cutting time and horsepower requirements/machine selection. Interpolates within database.
Email: [email protected]
63
Fax: +81 298 53102264
84 000 bibliographic references to published information on cement and concrete.
Bibliographic database of information on cement and concrete from sources worldwide in the English language.
Fax: +44 1 Company addresses and product descriptions of firms associated with the British Concrete Industry.65
Telex: 3513466
Email: [email protected]
Mr. John A. Tarvardian CUTDATA Institute of Advanced Manufacturing Sciences 1111 Edison Drive, Cincinnati, Ohio 45216 USA Telephone: +1 513 9482075 Fax: +1 513 9482109
Dr. Isao Tomizuka Database for superalloy development project.
National Research Institute for Metals (NRIM) Materials Design Division 1-2-1 Sengen, Tsukuba 305 JAPAN Telephone: +81 298 531157
Mr. Edwin A. R. Trout Concrete Information Disc British Cement Association Century House, Telford Avenue, Crowthorne RG45 6YSLIONS UK Telephone: +44 1344 725703 Concrete Contacts
Dr. David C. Wright PLASCAMS RAPRA Technology Ltd. A knowledge/database system for plastics selection. Shawbury, Shrewsbury, Shropshire SY4 4NR UK RUBACAMS Telephone: +44 1939 250383 A knowledge-based system for the selection of rubbers. Fax: +44 1939 251118
Mr. Satoru Yusa DASMAT/Data Sheet system of Material Ishikawajima-Harima Heavy Industries Co. Ltd Text-type database for retrieval and image bank of tables and graphs of material properties that are related to text-type databases. 1-15, Toyosu 3-Chome, Kotoku, Tokyo 135 JAPAN Telephone: +81 3 35343394 Fax: +81 3 35343388
Ferrous and non-ferrous metals, numerical data for physical and mechanical properties.
NRIM Creep Data Sheets contain long-term creep and rupture data, including 10[5] h-creep rupture strength data for many kinds of heat resisting steels and alloys.
Technical reports on all facets of nondestructive testing, evaluation and inspection. All materials from 1996 onwards.
Collection of contacts and expertise in the field of engineering materials. Ferrous metals, plastics, ceramics, non-ferrous metals, composites
More than 80 000 documents on the science and technology, properties, research and toxicity of rare earth metals, alloys and compounds.
Trade leads for Rare Earth Metals, Alloys and Compounds. Buyers and sellers of Rare Earths.
Includes: mechanical properties (including fatigue), physical, corrosion, wear and resistance properties of irons, steels, non-ferrous metals and engineering plastics.
Bibliographical database on thermochemical properties of inorganic substances and alloys.
Mechanical and physical properties (tabular, graphs, text, references) available with MAPP, MVISION, Rover Electronic Databook and STN software; primarily metals and alloys.
Nominal values of registered steels (EN, DIN, works standard specifications) on flexible discs.
Contains values of bond dissociation energies of organic compounds evaluated from experimental data.
All metal systems: phase diagrams, structure data and literature, from 1935 onwards; abstracts of current literature from 1990 onwards.
Ferrous material monotonic, low cycle fatigue, chemical and metallurgy data developed and housed at the Technical Center.
Weathering Aging of Polymers (plastics, rubber, painting), data of mechanical properties in six areas of China
Information on the sources, supply and uses of more than 1600 brands of wood-based panels traded in the UK.
numerical data and other information pertaining to the safety of substances and materials.
Data and information on materials manufactured in Russia, including all industrial fluids.
Bibliographic database (1977), referring to British and worldwide hazardous substances.
Equation of State data over broad temperature-density range, ferrous and non-ferrous metals, plastics, composites, and ceramics.
Physical and mechanical characteristics of engineering materials: steels, cast irons, non-ferrous, polymers, composites, adhesives. Physical, mechanical, fatigue properties. Multi-criteria selection.
Data on thermophysical properties of fluids and mixtures for research and development.
Information for predictive engineering, ensuring consistent data for engineers evaluating new designs and reducing cycle time by integrating materials data directly into CAD/CAE.
Materials data bank, normative reference equivalents, chemical composition, mechanical and physical characteristics, manufacturing conditions, suppliers, choice guide. Ferrous and non-ferrous metals, plastics.
Literature compilation on composite materials. manufacturer's data on composite materials, compilation of slides and addresses.
Strength data for engineering steels and alloys.
Materials database for mechanical and physical properties data of engineering alloys including high temperature corrosion for exposed alloys, ceramics and coatings.
Crystallographic, chemical, physical and related bibliographical data for metallics and intermetallics.
Compilation of experimental data on fatigue strength of metallic materials and related information.
Chemical, physical and crystallographic information useful in characterizing more than 210 403 inorganic and organic crystalline materials.
Thermal, mechanical and corrosion properties of silicon carbides and silicon nitrides in a self-contained database system.
database on Fatigue Crack Growth Rates of Metallic Materials Compilation of experimental data on fatigue crack growth rates of metallic materials and related information.: Material Strength Database for Reliability Design Compilation of experimental data on statistical distribution of mechanical properties for metallic, composite and ceramic materials.
The research project on advanced composites materials performed in Japan from 1981 to 1988, the fact data of tested materials' properties have been stored in PRODACOM
Contains chemical, physical and crystallographic information on a wide variety of materials (over 81 534), including minerals, metals, intermetallics and general inorganic compounds.
Materials properties for high temperature superconductors, providing evaluated property data for oxide superconductors. Covers compounds from Y-Ba-Cu-O, Bi-Sr-Ca-Cu-O, Tl-Sr-Ca-Cu-O and La-Cu-O chemical families,and variants of cuprate and bismate materials.
Being developed: database to evaluate whether advanced composite materials are environmentally friendly or not.
Management and Life Extension on Nuclear Materials properties and performance database, reinforced and prestressed concrete.
Coatings and high temperature corrosion: includes five databases, four of them active.
A comprehensive system for PC or UNIX containing machining data for over 3750 work materials, over 40 machining operations delivering more than 90 000 recommendations. Calculates cutting time and horsepower requirements/machine selection. Interpolates within database.
Bibliographic database of information on cement and concrete from sources worldwide in the English language.
Company addresses and product descriptions of firms associated with the British Concrete Industry.
Text-type database for retrieval and image bank of tables and graphs of material properties that are related to text-type databases.
Physical and mechanical characteristics of engineering materials: steels, cast irons, non-ferrous, polymers, composites, adhesives. Physical, mechanical, fatigue properties. Multi-criteria selection.
Materials data bank, normative reference equivalents, chemical composition, mechanical and physical characteristics, manufacturing conditions, suppliers, choice guide. Ferrous and non-ferrous metals, plastics.
Materials properties for high temperature superconductors, providing evaluated property data for oxide superconductors. Covers compounds from Y-Ba-Cu-O, Bi-Sr-Ca-Cu-O, Tl-Sr-Ca-Cu-O and La-Cu-O chemical families,and variants of cuprate and bismate materials.
A comprehensive system for PC or UNIX containing machining data for over 3750 work materials, over 40 machining operations delivering more than 90 000 recommendations. Calculates cutting time and horsepower requirements/machine selection. Interpolates within database.
Number Journal Title Footnote Authors1 Contents of Volume 1, Issue 1, April 2002 Development of the wAngela Y. L2 Contents of Volume 1, Issue 1, April 2002 Organisation and sta Michele Ma3 Contents of Volume 1, Issue 1, April 2002 The application of Pr Changwon S4 Contents of Volume 1, Issue 1, April 2002 Multivariate estimati Babara Nam5 Contents of Volume 1, Issue 1, April 2002 A Mexican case study Adolfo G. N6 Contents of Volume 1, Issue 1, April 2002 An integrated web resBrian McM7 Contents of Volume 1, Issue 1, April 2002 XML representation aFabio Gran8 Contents of Volume 1, Issue 1, April 2002 Scientific publicatio Peter Murr9 Contents of Volume 1, Issue 1, April 2002 Adaptive fuzzy partiti M Pintore,
10 Contents of Volume 1, Issue 1, April 2002 Compression of grayscF Murtagh, 11 Contents of Volume 1, Issue 2, August 30, 2002 STMML. A markup languPeter Murr12 Contents of Volume 1, Issue 2, August 30, 2002 Overview of the IMSA Oliver Curé13 Contents of Volume 1, Issue 2, August 30, 2002 Limits with modeling Lionello Po14 Contents of Volume 1, Issue 2, August 30, 2002 Functional role of b T Kunisawa15 Contents of Volume 1, Issue 2, August 30, 2002 Networking of Biolog Satoru Miy16 Contents of Volume 1, Issue 2, August 30, 2002 China's Natural Reso Li Zehui17 Contents of Volume 1, Issue 2, August 30, 2002 Virtual laboratory st Enrique Ca18 Contents of Volume 1, Issue 2, August 30, 2002 An information systemA.F. Cuttin19 Contents of Volume 1, Issue 2, August 30, 2002 An Integrated ReceptK Nakata, 20 Data Science Journal Vol. 2(2003) Graph-theoretical co Lionello Po21 Data Science Journal Vol. 2(2003) The design and devel Andrew Pa22 Data Science Journal Vol. 2(2003) Data integ Reliable in A Mitnitsk23 Data Science Journal Vol. 2(2003) The essentials of a daDorothy M 24 Data Science Journal Vol. 2(2003) A polythematic real-t Panagiotis 25 Data Science Journal Vol. 2(2003) The design and develoYuehong Zh26 Data Science Journal Vol. 2(2003) Issues in accessing anVirginia A.27 Special Section on Spacial Data Usability Preface to Special SecMonica Wac28 Special Section on Spacial Data Usability Understanding SpatialGary J. Hu29 Special Section on Spacial Data Usability Services for data inte Catharina 30 Special Section on Spacial Data Usability Spatial data exploratoD. Josselin31 Special Section on Spacial Data Usability High-resolution censuItzhak Ben32 Special Section on Spacial Data Usability Spatial data usability Elzbieta Bi33 Data Science Journal Vol. 2(2003) New weldinPrediction M Fujita, J34 Data Science Journal Vol. 2(2003) The digital national K.J. Murray35 Data Science Journal Vol. 2(2003) The challenge of archJohn L. Fa36 Data Science Journal Vol. 2(2003) OPeNDAP: Accessing dP. Cornillo37 Data Science Journal Vol. 2(2003) Spatio-temporal databM Breunig,38 Data Science Journal Vol. 2(2003) Preserving the positivPamela Sa39 Data Science Journal Vol. 2(2003) Materials data on theJ. H. West40 Data Science Journal Vol. 3(2004) Progress in the devel Wing Tsan41 Data Science Journal Vol. 3(2004) The EnviroA distribut E.A. Kihn, 42 Data Science Journal Vol. 3(2004) Scholarly informationP Ginsparg43 Data Science Journal Vol. 3(2004) IntegratedThe challenG Cotter, 44 Data Science Journal Vol. 3(2004) A gene order databasK Kurihara45 Data Science Journal Vol. 3(2004) Co-word analysis for tB Delecroix46 Data Science Journal Vol. 3(2004) Development of a knoY Kaji, H T47 Data Science Journal Vol. 3(2004) Data concerns and chaChristian B
48 Data Science Journal Vol. 3(2004) Application of XML teEnrico Fran49 Data Science Journal Vol. 3(2004) Promoting Access to PP Arzberge50 Data Science Journal Vol. 3(2004) Visualization techniquUdeepta D.51 Data Science Journal Vol. 3(2004) The PIR integrated prH Huang, Z52 Data Science Journal Vol. 3(2004) InternationStudies on Helga Tabu53 Data Science Journal Vol. 3(2004) Adding intelligence toF J Smith54 Special Section on Selection, Appraisal, and Retention Some challenges and isW. L. Ande55 Special Section on Selection, Appraisal, and Retention Appraising digital rec Terry East56 Special Section on Selection, Appraisal, and Retention The selection, appraisM gutmann,57 Special Section on Selection, Appraisal, and Retention Earth observation archiLuigi Fusc58 Special Section on Selection, Appraisal, and Retention Selection, Highlights J. Esanu, J59 Data Science Journal Vol. 4(2005) Building a biodiversi CS Parr, R60 Data Science Journal Vol. 4(2005) Digital Object IdentifieNorman Pa61 Data Science Journal Vol. 4(2005) Rescuing and recoveriElizabeth Gr62 Data Science Journal Vol. 4(2005) The earth knowledge bA Martyne63 Data Science Journal Vol. 4(2005) Designating user commuM. A. Parso64 Data Science Journal Vol. 4(2005) A tool for public analyD Haglin, R 65 Data Science Journal Vol. 4(2005) Innovative technologyTemenoujk66 Data Science Journal Vol. 4(2005) An efficient locking G Arumuga67 Data Science Journal Vol. 4(2005) eScience and archivinTimothy E. 68 Data Science Journal Vol. 4(2005) Infoscience technologJW Grzymal69 Data Science Journal Vol. 4(2005) 3D Visualization and J Hérisson,70 Data Science Journal Vol. 4(2005) Viewpoints: a framewoFouzia Ben71 Data Science Journal Vol. 4(2005) The long-term preservL. Duranti72 Data Science Journal Vol. 4(2005) Knowledge managementAnna Moren73 Data Science Journal Vol. 4(2005) Multi-sensor data fusiJau-Hsiung74 Data Science Journal Vol. 4(2005) A surface definition J Berengue75 Data Science Journal Vol. 4(2005) XML related data exc M Nagy, HH76 Data Science Journal Vol. 4(2005) Socio-economic databT. Tamisier,77 Data Science Journal Vol. 4(2005) Ethics of sharing scie J.E. Sieber78 Data Science Journal Vol. 4(2005) Intelligent resource dJ. Steven H79 Data Science Journal Vol. 4(2005) Immersive graph-based N Férey, PE80 Data Science Journal Vol. 4(2005) Database of Pb - free Z. Moser, W81 Data Science Journal Vol. 4(2005) Patent analysis for coH Dou, V Le82 Data Science Journal Vol. 4(2005) Digital archiving of spP. Slavik, 83 Data Science Journal Vol. 4(2005) Combining applicatio Pierre-Emm84 Data Science Journal Vol. 4(2005) Organizational needs R. R. Downs85 Data Science Journal Vol. 5(2006) Open access and biodiJitendra G86 Data Science Journal Vol. 5(2006) Delivering a name-serC Hussey, S87 Data Science Journal Vol. 5(2006) Building supply chai A F Cutting88 Data Science Journal Vol. 5(2006) Definition of a web onToshihiro A89 Data Science Journal Vol. 5(2006) Data for decision makChristian B90 Data Science Journal Vol. 5(2006) Data publication in thJens Klump91 Data Science Journal Vol. 5(2006) Automated granularityPaul Athur92 Data Science Journal Vol. 5(2006) Effect of using bias-c M.A. Matin93 Data Science Journal Vol. 5(2006) Causal knowledge extrYuya Kajik94 Data Science Journal Vol. 5(2006) The impact of data miSiri Krish95 Data Science Journal Vol. 5(2006) Improving database quMingzhen W
96 Data Science Journal Vol. 5(2006) A hashing technique uMehedi Mas97 Special Issue "Thousand Words" Editor's note98 Special Issue "Thousand Words" Data science as an ac F. Jack Smi99 Special Issue "Thousand Words" InternationAn NSF NSDLaura M. B
100 Special Issue "Thousand Words" Data standards for theR. J. Hanis101 Special Issue "Thousand Words" The Crystallographic II.D. Brown102 Special Issue "Thousand Words" Geography Markup L David S. Bu103 Special Issue "Thousand Words" The publication of sc J. Brase, U104 Special Issue "Thousand Words" MathML in practice: iT.W. Cole105 Special Issue "Thousand Words" Data-centric view in Gregor Erb106 Data Science Journal Vol. 5(2006) Towards development oAndrew Nel107 Data Science Journal Vol. 6(2007) The relative efficien Yair Wise108 Data Science Journal Vol. 6(2007) VolcanoGasML: a formEric Reiter109 Data Science Journal Vol. 6(2007) Burrows-Wheeler basYair Wise110 Data Science Journal Vol. 6(2007) Imagery metadata devRong Xie, 111 Data Science Journal Vol. 6(2007) Data mining techniqueSikha Bagui112 Data Science Journal Vol. 6(2007) A "bottom up" governaK. T. Finne113 Data Science Journal Vol. 6(2007) Concept based clusterS. Sentham114 Data Science Journal Vol. 6(2007) Linear and support veKaijun Wan115 Data Science Journal Vol. 6(2007) Inverted exponential dSanku Dey116 Data Science Journal Vol. 6(2007) Applying patent informChen-Yuan 117 Data Science Journal Vol. 6(2007) Extended OQL for ObjeS. G. Fount118 Data Science Journal Vol. 6(2007) A character recogniti Chen-Yuan 119 Data Science Journal Vol. 6(2007) Spatial association b B.M. Dansu,120 Special Issue "Thousand Words" Data quality - more i David R. Li121 Special Issue: Open Data for Global Science Open Data fForeword Paul F. Uhli122 PART ONE: Recent International and National GovernOECD Principles and GDirk Pilat,123 PART ONE: Recent International and National GovernDatabase Protection Robert Cla124 PART ONE: Recent International and National GovernOpen Access to ScientGuan-Hua 125 PART ONE: Recent International and National GovernCanadian National ConMichel Sab126 PART TWO: Analysis of Data Policy Issues Open Data for Global Paul F. Uhl127 PART TWO: Analysis of Data Policy Issues Biomedical Data ShariBelinda Se128 PART TWO: Analysis of Data Policy Issues Big Opportunities in Harlan Ons129 PART TWO: Analysis of Data Policy Issues Possible Downsides toPeter Schr130 Supplement: Proceedings of the 20th International ProceedingForeword Diane Smit131 Supplement: Proceedings of the 20th International IntegrationContribute[in Japanes132 Supplement: Proceedings of the 20th International Erasing Data and RecycT. Fujita, 133 Supplement: Proceedings of the 20th International An XML-Based NetworkH Cheng, K134 Supplement: Proceedings of the 20th International A Proposal for a BBS wYasufumi T135 Supplement: Proceedings of the 20th International Life Cycle AssessmentG. Dodbiba,136 Supplement: Proceedings of the 20th International Discussion Visualizati Wataru Su137 Supplement: Proceedings of the 20th International Multi-data Mining forNaohiro Ma138 Supplement: Proceedings of the 20th International Promoting Open Access Ian Song139 Supplement: Proceedings of the 20th International The Development of aMuhammad 140 Supplement: Proceedings of the 20th International Sharing RepresentatioEmanuele B141 Supplement: Proceedings of the 20th International ENEA e-Learn PlatformAnna Moren142 Supplement: Proceedings of the 20th International A Challenge to ScientiTetsuya O143 Supplement: Proceedings of the 20th International Possibility of Integra Akinori Abe
144 Supplement: Proceedings of the 20th International How to MaThe AstronRay P. Norr145 Supplement: Proceedings of the 20th International Selection of Korean Hanmin Jun146 Supplement: Proceedings of the 20th International Human-Interactive AnnKenichi Ho147 Supplement: Proceedings of the 20th International Impact of Global andMichael Zg148 Supplement: Proceedings of the 20th International DisseminatiQiming Wang, Bonita 149 Supplement: Proceedings of the 20th International KISTI-ACOMS: Article Myung-Seok150 Supplement: Proceedings of the 20th International Experiments of the S S Watari, 151 Supplement: Proceedings of the 20th International Linking the Taiwan Fi Kwang-Tsao152 Supplement: Proceedings of the 20th International Detecting Family Res Yunhyong K153 Supplement: Proceedings of the 20th International Compressing Data CubFrank Dehn154 Supplement: Proceedings of the 20th International Toward a New ScienceD Doucette,155 Supplement: Proceedings of the 20th International Fractal Characteristic Junjun Jia,156 Supplement: Proceedings of the 20th International The New Pedagogy of Graham Att157 Contributed Papers Concept of Mind and BKaoru Saka158 Contributed Papers A Data Model for KnoThomas Tam159 Contributed Papers Development of a GridA.I. Petren160 Contributed Papers Semantic Web-Based SHanmin Jun161 Contributed Papers The Current Key ProblYouhua Ran,162 Contributed Papers Investigation of Carb Chen-Yuan 163 Contributed Papers Renewal and CompletiAli Erdi, S.164 Contributed Papers The Application of theXiao-fang X165 Contributed Papers Computer Modeling ofN. B. Ouchi166 Contributed Papers Evaluating Learning AH Abe, S T167 Contributed Papers Public Sharing and UndDanna She168 Contributed Papers A Method for Global-SWenbin Sun169 Contributed Papers The Astringency of thYong-qiang170 Contributed Papers Inorganic Element Fu Yi Hu, Pei171 Contributed Papers A New Redshift Indic Zhibin Zha172 Contributed Papers The Landsat Image MosChristophe173 Contributed Papers Reasearch on RegionaRui Chen, 174 Contributed Papers Panel Data Analyses oRui Chen, 175 Contributed Papers BrainBank Metadata SpHu Lianglin176 Contributed Papers A Metadata Registry fJian-hui Li177 Contributed Papers A Scalable FrameworkYuanchun Z178 Contributed Papers The Electronic Data anDi Jiang179 Contributed Papers Progress Report of thJinan Cai,180 Contributed Papers Data-Sharing Work of Fenglin Pe181 Contributed Papers A Comparative Study Xushu Pen182 Contributed Papers Interactive ExperimenWeiping Go183 Contributed Papers Privacy-Preserving DaGang Kou, 184 Contributed Papers An Intelligent Contr Ting-hong Z185 Contributed Papers T-Archive: A Novel H Mingqing Z186 Contributed Papers Design and ImplementaDeng-Kui Mo187 Contributed Papers The Integrated InformJunxiu Wu,188 Contributed Papers An Overview of the C Yulan Li, Xi189 Contributed Papers The Development of aXia Li, Han190 Contributed Papers Support Vector MachiDan Wang, 191 Contributed Papers Visualization of a Dig Linlin Lu,
192 Contributed Papers Research on the RegreShibing Su193 Contributed Papers A P2P Service DiscoveLican Huan194 Contributed Papers Ontology Learning fo Jing Kong195 Contributed Papers Preventing, ControllinYuanqing T196 Contributed Papers Integrating High QualXiaolin Zh197 Contributed Papers Cognitive DevelopmentXuan Dong,198 Contributed Papers Application of Satell Xianbin Liu199 Contributed Papers Application of Higher Yajun Li, B200 Contributed Papers An Association Rule MHanbing Li201 Contributed Papers An Improved Parallel Wei Liu, Sh202 Contributed Papers Chinese Co-Authored PHaiyan Zhe203 Contributed Papers Research Work on TorQiang Feng204 Contributed Papers SHEETSPAIR: A DatabasNing Zhang205 Contributed Papers Extracting Feature InfJianyu Lei,206 Contributed Papers The Optimal Strategy Jian-wei G207 Contributed Papers Data Mining for TelecXiaoping Ga208 Contributed Papers On the Relation BetweDan Yang209 Contributed Papers Real-Time Eye DetectiFeng Jiao,210 Contributed Papers Analysis of the ParadiTan Sun, G211 Contributed Papers 3D Modeling and VisuaMin Qi, Bao212 Contributed Papers Data Mining Consulti Xingsen Li,213 Contributed Papers Intellectual Property Jian Wang,214 Contributed Papers A Multimeasurand IS V. V. Ezhel215 Contributed Papers An Efficient High DimeKe Li, Fan 216 Contributed Papers A Theoretical ModelingXudong Wa217 Contributed Papers Sino-Tibetan LanguageQianzi Tian218 Contributed Papers Forecasting and WarniBangzhong 219 Contributed Papers Measuring Data QualiCuo Cai, Ku220 Contributed Papers ERPDB: An IntegratedQingHong Y221 Contributed Papers Discovery of TeleconnFan Lin, Xi222 Contributed Papers Applying the Support Chen Cao223 Contributed Papers Data and Structure ChXing Chen224 Contributed Papers The Unstructured DataDafang Zhu225 Contributed Papers Mapping Local Solar Ganghua Li226 Contributed Papers Research of GPS Anti Ruihui Di, 227 Contributed Papers The Future of ComputShi-Zhao Z228 Contributed Papers Water Resources ScienQingzhai G229 Contributed Papers Model Management in Jungang Xu230 Contributed Papers Standardization of S Ai-jun Li, Z231 Contributed Papers An Analysis of CommonLikang Zha232 Contributed Papers Rules Extraction wit Deqin Yan,233 Contributed Papers The Choice and AccumLiyi Ma, W234 Contributed Papers Estimation of SolventQing-Zhen 235 Contributed Papers Material Database SynToshihiro 236 Contributed Papers Designing Metadata foYun Li, Ai-237 Contributed Papers Data and Extended FuDasheng Wa238 Contributed Papers An Integrative DatabaCuiping Ge,239 Contributed Papers The Internet DatabaseFenglin Pe
240 Contributed Papers Geo-Information (LakLong-hua He241 Contributed Papers A Distributed CooperaChenyu Li, 242 Contributed Papers A Web-Based SpectralJing Fang,243 Contributed Papers A Customizable Text ClYun-liang 244 Contributed Papers Research on Scientifi Liya Li, Ya245 Contributed Papers Construction and ApplXiaogang Li246 Contributed Papers Research on a Web GiJian Tan, L247 Contributed Papers The Development and Ling Bao248 Contributed Papers Bridging the Digital D Linbo Jing249 Contributed Papers The Modes of Data DeYuxian Wu250 Contributed Papers A Philosophy ResearcJili Cheng251 Contributed Papers Semiconductive NanosPaata J. Ker252 Contributed Papers A Simple Approach forHewen Tan253 Special Issue: Gas Hydrate Data A Hydrate Database: VD. Sloan, F254 Special Issue: Gas Hydrate Data Field Data and the G Ralf Löwne255 Special Issue: Gas Hydrate Data Gas Hydrate Markup LTom Smith,256 Special Issue: Gas Hydrate Data Modeling Hydrates anWeihua Wan257 Special Issue: Gas Hydrate Data Building a Gas HydratYun Xiao, R258 Errata Correction made by the Authors259 Errata Corrections made by the Editors260 Data Science Journal Vol. 7(2008) Editor's N Editorial Shuichi Iwa261 Data Science Journal Vol. 7(2008) Report froPapers J Becla, K-261 Data Science Journal Vol. 7(2008) Decoding PPapers Chen-Yuan 263 Data Science Journal Vol. 7(2008) Minimax EstPapers Sanku Dey264 Data Science Journal Vol. 7(2008) Applying a Papers Olusegun F265 Data Science Journal Vol. 7(2008) A Method fPapers Jiale Wang266 Data Science Journal Vol. 7(2008) Nest and UPapers Georgia Ga267 Data Science Journal Vol. 7(2008) Bayes Esti Papers Rahul Sing268 Data Science Journal Vol. 7(2008) Discoverin Papers C. Nalini, 269 Data Science Journal Vol. 7(2008) Report froPapers Jacek Becla270 Data Science Journal Vol. 7(2008) Visualizin Papers Olusegun F271 Data Science Journal Vol. 7(2008) Bayes Esti Papers G.P. Singh,272 Data Science Journal Vol. 7(2008) Seminar CuPapers T. Ashino, 273 Data Science Journal Vol. 7(2008) On ShrinkagPapers Gyan Prakas274 Data Science Journal Vol. 7(2008) A FrameworkPapers Su Chen, Ti275 Data Science Journal Vol. 7(2008) A Note on BPapers Sanku Dey276 Data Science Journal Vol. 7(2008) Some AspectPapers Z. Runovska277 Data Science Journal Vol. 7(2008) Filtration Papers Yu.I. Goro278 Data Science Journal Vol. 7(2008) Study and Papers DeYu Kong, 279 Data Science Journal Vol. 7(2008) ApproachesPapers T Ojala, H-280 Data Science Journal Vol. 7(2008) Report froPapers Jacek Becla281 Data Science Journal Vol. 7(2008) A Simple AErrata Hewen Tan282 Data Science Journal Vol. 7(2008) A MultimeaErrata V. V. Ezhel283 Data Science Journal Vol. 8(2009) Semantic Query on MXiaoming Z284 Data Science Journal Vol. 8(2009) Improving the Traditi Martin Küh285 Data Science Journal Vol. 8(2009) CISTI'S Activities in Mary Zbor286 Data Science Journal Vol. 8(2009) The CATS Service: An O.V. Verkh287 Data Science Journal Vol. 8(2009) Safeguarding Old and Heinz Ande
288 Data Science Journal Vol. 8(2009) Non-Structured MaterChangjun H289 Data Science Journal Vol. 8(2009) Effective Interatomic T. Yamamoto290 Data Science Journal Vol. 8(2009) Fuzzy-Rule-Based ApprOlusegun Fo291 Data Science Journal Vol. 8(2009) A Visual Similarity-B Elmustapha292 Data Science Journal Vol. 8(2009) CVAP: Validation for CKaijun Wan293 Data Science Journal Vol. 8(2009) Expression of All SI Dong Bong 294 Data Science Journal Vol. 8(2009) Affluence of Data on E Wulff-Bar295 Data Science Journal Vol. 8(2009) Hierarchical Data ReplWeizhong L296 Data Science Journal Vol. 8(2009) An Improved CorrelatiS. Sentham297 Data Science Journal Vol. 8(2009) On Providing Intelligi Yannis Tzit298 Data Science Journal Vol. 8(2009) The DFBS SpectroscopAreg M. Mic299 Data Science Journal Vol. 8(2009) Geoportals: An InternP.A.J. van 300 Data Science Journal Vol. 8(2009) A Modified Ratio-Cum-Rajesh Tail301 Data Science Journal Vol. 8(2009) The Representation anNorman Swi302 Data Science Journal Vol. 8(2009) Building a Community Lei Liu, Hu303 Data Science Journal Vol. 8(2009) Structured Query TranMehedi Mas304 Data Science Journal Vol. 8(2009) The Generalized ExponA. Asgharza305 Data Science Journal Vol. 8(2009) EGY: Progress in GlobD.N. Baker,306 Data Science Journal Vol. 8(2009) A Fuzzy Semantic InfoA.O. Ajayi,307 Data Science Journal Vol. 8(2009) Bayesian Shrinkage EstGyan Prakas308 Data Science Journal Vol. 8(2009) Knowledge BA StrategicNadège Gué309 Proceedings of the International Symposium: Fifty YearInternationPreface Toshihiko I310 Proceedings of the International Symposium: Fifty YearThe InternaPapers Joseph M. 311 Proceedings of the International Symposium: Fifty YearThe UN International W Eder, E 312 Proceedings of the International Symposium: Fifty YearInternational HeliophyK Yumoto, 313 Proceedings of the International Symposium: Fifty YearResearch on the EarthA.G. Rodnik314 Proceedings of the International Symposium: Fifty YearFifty Years of HF Dop T. Ogawa, T315 Proceedings of the International Symposium: Fifty YearThe Canadian EnhancedA W Yau, H 316 Proceedings of the International Symposium: Fifty YearCoupling and Fusion Q. Li, K. It317 Proceedings of the International Symposium: Fifty YearThe CHAIN-Project andS. Ueno, K. 318 Proceedings of the International Symposium: Fifty YearApplying a Machine LeH Kimura, 319 Proceedings of the International Symposium: Fifty YearAcoustic Resonance M. Matsumur320 Proceedings of the International Symposium: Fifty YearSpace Weather and ReS Watari321 Proceedings of the International Symposium: Fifty YearGoogle Earth as GeosY Yamagish322 Proceedings of the International Symposium: Fifty YearDagik: A Data-ShowcaA Saito, D 323 Proceedings of the International Symposium: Fifty YearHypothesis of PiezoelY Hayakaw324 Proceedings of the International Symposium: Fifty YearWDC Activities in Jap Takashi W325 Proceedings of the International Symposium: Fifty YearOpen Access to DigitaWK Peters326 Proceedings of the International Symposium: Fifty YearAstronomical ResearchM. Tanaka, 327 Proceedings of the International Symposium: Fifty YearApplication of InformY. Shirasa328 Errata Erratum: Fifty Years T. Ogawa, T329 Errata Erratum: Space WeathS Watari330 Errata Erratum: Google EarthY Yamagish331 Errata Erratum: Dagik: A Da A Saito, D 332 Errata Erratum: Improving thMartin Küh333 Errata Erratum: Hypothesis oY Hayakaw334 Errata Erratum: Toward ImplePaul F. Uhl335 Special Issue Scientific Biological Tetsuya On
336 Special Issue Thyroid Cancer in UkrA. Prysyaz337 Special Issue Do Low Doses of IonizK Loganovs338 Special Issue Alteration of Genome Tetsuya On339 Special Issue Regulation of the P21Mitsuru Ne340 Special Issue Effects of Low Dose CA. Dmitriev341 Information Technology Challenges in Earth and SolarResident Archive ServA. Takeda, 342 Information Technology Challenges in Earth and SolarEMScope: A ContinentA. Schultz343 Information Technology Challenges in Earth and SolarField Sensor Virtual OH. Yamamot344 Information Technology Challenges in Earth and SolarDevelopment of a ScieY. Takata, 345 Information Technology Challenges in Earth and SolarActivities and Issues A. Damiani,346 Information Technology Challenges in Earth and SolarThe Origins and Princ F.L. Korsm347 Information Technology Challenges in Earth and SolarSimilar Data Retriev Y. Kasahara348 Information Technology Challenges in Earth and SolarSpace Environment DatT. Obara, K349 GEOSS White Paper (Simultaneous Publication in JourToward ImplementationPaul F. Uhl350 Meeting Reports Report from the 3rd Jacek Becla351 Data Science Journal Vol. 9(2010) DiscoveringPapers S. Shankar352 Data Science Journal Vol. 9(2010) Applying StPapers Yi Wu, Pen353 Data Science Journal Vol. 9(2010) An IDA-BasePapers Weizhong L354 Data Science Journal Vol. 9(2010) Web SyndicPapers Eric C. Kan355 Data Science Journal Vol. 9(2010) Materials Papers Toshihiro 356 Data Science Journal Vol. 9(2010) Utility Ind Papers E Poovamm357 Data Science Journal Vol. 9(2010) A ProposalPapers Robert R. 358 Data Science Journal Vol. 9(2010) An AlternatPapers Rajesh Tai359 Data Science Journal Vol. 9(2010) Data ManagPapers Mary Zbor360 Data Science Journal Vol. 9(2010) A System fPapers Steven Kra361 Data Science Journal Vol. 9(2010) A Privacy- Papers Guang Li, 362 Proceedings of the International Symposium: Fifty YearAstronomical Virtual Masatoshi 363 Proceedings of the International Symposium: Fifty YearThe "GDSClient" ColleH. Nagao, S364 Information Technology Challenges in Earth and Solar SPASE and tSpecial Iss J. R. Thiema365 Information Technology Challenges in Earth and Solar Data Pract Special Iss C. Barton, 366 Information Technology Challenges in Earth and Solar Long-Term Special Iss H. Toh, Y. 367 Information Technology Challenges in Earth and Solar An ExtendeSpecial Iss H. Kagami368 CRIS for European e-Infrastructure: 1 Introduction CERIF-CRIS for the Eu K. Jeffery,369 2 The need for a CRIS. Structure and Use of a CRIS The CERIF Model As thKeith Jeffe370 2 The need for a CRIS. Structure and Use of a CRIS CRIS and InstitutionalA. Asserson371 3 How to Set up and Use a CERIF-CRIS CERIF: The Common EBrigitte Jör372 3 How to Set up and Use a CERIF-CRIS CERIF Best Practice Anne Asser373 4 CRIS and the European e-Infrastructure, Enabling The ESFRI Roadmap anK. Jeffery374 4 CRIS and the European e-Infrastructure, Enabling CRIS and the GRIDs ArK. Jeffery375 5 Using a CRIS for e-Infrastructure e-Infrastructure, Sci S. C. Lambe376 5 Using a CRIS for e-Infrastructure Using a CRIS for e-Inf E. Dijk, M.377 Essay Information Gulags, InPaul F. Uhli378 Meeting Reports Report from the 4th Jacek Becla379 Errata Erratum: CERIF: The Brigitte Jör380 Data Science Journal Vol. 10(2011) Detecting EnvironmenMohamed Ge381 Data Science Journal Vol. 10(2011) Approaches to Open DaE. Wulff-Ba382 Data Science Journal Vol. 10(2011) Sub-Saharan Africa: SuVictoria Ba383 Data Science Journal Vol. 10(2011) Creating a SpontaneoMaria Husin
384 Data Science Journal Vol. 10(2011) H-Metric: Characteri Welington M385 Proceedings of the XIV IAGA Workshop on GeomagneticProceedings of the X Pieter B Ko386 Proceedings of the XIV IAGA Workshop on GeomagneticReport on Papers Yufei He, 387 Proceedings of the XIV IAGA Workshop on GeomagneticStudies of Papers P.R. Sutclif388 Proceedings of the XIV IAGA Workshop on GeomagneticStudy on thPapers Suqin Zhan389 Proceedings of the XIV IAGA Workshop on GeomagneticFluxgate MPapers Xiaomei Wa390 Proceedings of the XIV IAGA Workshop on GeomagneticAnalysis onPapers Ya-Hong Yu391 Proceedings of the XIV IAGA Workshop on GeomagneticOn the Inf Papers A. Bernard392 Proceedings of the XIV IAGA Workshop on GeomagneticDI3 - A Ne Papers A. Geese, U393 Proceedings of the XIV IAGA Workshop on GeomagneticAn AdvancePapers Yasuhiro M394 Proceedings of the XIV IAGA Workshop on GeomagneticVerificati Papers Yasuhiro M395 Proceedings of the XIV IAGA Workshop on GeomagneticAn InvestigPapers E. Nahayo, 396 Proceedings of the XIV IAGA Workshop on GeomagneticThe Distri Papers Mutaek Lim397 Proceedings of the XIV IAGA Workshop on GeomagneticUltra SensiPapers B. Ginzburg398 Proceedings of the XIV IAGA Workshop on GeomagneticMagnetic VPapers F. Humbled,399 Proceedings of the XIV IAGA Workshop on GeomagneticINDIGO: BePapers Pavel Boro400 Proceedings of the XIV IAGA Workshop on GeomagneticPolynomial Papers P. Kotzé, 401 Proceedings of the XIV IAGA Workshop on GeomagneticObservatorPapers A. Marusen402 Proceedings of the XIV IAGA Workshop on GeomagneticA Quasi AbPapers E. Pulz, K.-403 Proceedings of the XIV IAGA Workshop on GeomagneticFirst Steps Papers S. J. Reay,404 Proceedings of the XIV IAGA Workshop on GeomagneticPrincipal Papers Junhui Li,405 Proceedings of the XIV IAGA Workshop on GeomagneticModelling Papers J.-J. Schot406 Proceedings of the XIV IAGA Workshop on GeomagneticThe GeomagPapers Jürgen Matz407 Proceedings of the XIV IAGA Workshop on GeomagneticThe AnalysiPapers Xin Changj408 Proceedings of the XIV IAGA Workshop on GeomagneticThe Mark IIPapers Jean L. Ra409 Proceedings of the XIV IAGA Workshop on GeomagneticAn InvestigPapers C. Turbitt, 410 Proceedings of the XIV IAGA Workshop on GeomagneticResearch onPapers Jianjun Wa411 Proceedings of the XIV IAGA Workshop on GeomagneticErratum: PErrata Junhui Li,412 Data Science Journal Vol. 11(2012) Improving Data QualitJ.A. Bakker413 Data Science Journal Vol. 11(2012) Report from the 5th Jacek Becla414 Data Science Journal Vol. 11(2012) The UNESCO-IOC-IODE S. Levitus415 Data Science Journal Vol. 11(2012) Bayesian Estimation Muhammad 416 Data Science Journal Vol. 11(2012) Atarrabi - A WorkflowFlorian Qu417 Data Science Journal Vol. 11(2012) Constructing an Intel Chao-Chan 418 Data Science Journal Vol. 11(2012) Properties of NanostrAV Eletski419 Data Science Journal Vol. 11(2012) Harnessing Data Flow Kassim S. 420 Special Issue: CODATA Prize Lecture A Road LessThe 2010 CPaul F. Uhli421 Special Issue: CODATA Prize Lecture Data SharinEditor's NoWilliam An422 Special Issue: CODATA Prize Lecture Anonymous Reviews:423 Special Issue: CODATA Prize Lecture Authors' Response: E. Auger, R424 Special Issue: CODATA Prize Lecture Facilitating Data Shar R. de la Sa425 Proceedings from the Asian Materials Data SymposiuDescribing NanomaterJohn Rumbl426 Proceedings from the Asian Materials Data SymposiuA Perspective on MateStephen Fr427 Proceedings from the Asian Materials Data SymposiuMatDB Online - A StanTSP Austin428 Proceedings from the Asian Materials Data SymposiuDevelopment of an OpToshihiro A429 Proceedings of the International Symposium: Fifty YearsWeb Approach for OntoB. Ritschel430 Data Science Journal Vol. 12(2013) ECDS - a Swedish ReseT Klein, J 431 Data Science Journal Vol. 12(2013) A Framework for ExtendTobias Wei
432 Data Science Journal Vol. 12(2013) Report from the 6th Daniel Liwe433 Data Science Journal Vol. 12(2013) Bayesian Estimation oKamran Abba434 Data Science Journal Vol. 12(2013) Open Source ArchitecR Venkat S435 Data Science Journal Vol. 12(2013) Data Curation in the P Laughton,436 Data Science Journal Vol. 12(2013) A Vision for Global ReCostantino437 Data Science Journal Vol. 12(2013) A Study on the OrganiJuanle Wang438 Data Science Journal Vol. 12(2013) World War II (1939-1 S Levitus, 439 Data Science Journal Vol. 12(2013) Data Conservancy ProMatthew S.440 Data Science Journal Vol. 12(2013) Researcher's WillingnI Dehnhard441 Data Science Journal Vol. 12(2013) Constructing OntologyPeng Shi, 442 Data Science Journal Vol. 12(2013) Actionable Persistent Tobias Wei443 Data Science Journal Vol. 12(2013) Data at Risk Initiativ Angela P. M444 Special Issue: Proceedings of the 1st WDS ConferenceICSU and the Challen Peter Fox, 445 Data Science Journal Vol. 12(2013) The Global Observing H Diamond446 Data Science Journal Vol. 12(2013) Development of the Marsel Sha447 Data Science Journal Vol. 12(2013) The Contribution of aM Menviell448 Data Science Journal Vol. 12(2013) Is Data Publication t M A Parson449 Data Science Journal Vol. 12(2013) Operations of the WoS J Reay, E450 Data Science Journal Vol. 12(2013) Activities and Plan o Fenglin PE451 Data Science Journal Vol. 12(2013) Strasbourg AstronomiF Genova452 Data Science Journal Vol. 12(2013) Experience and StrateK T Shao, K453 Data Science Journal Vol. 12(2013) Development of Global N H Batjes,454 Data Science Journal Vol. 12(2013) The British Geologic E Dawson, 455 Data Science Journal Vol. 12(2013) Data Handling within Dirk Behre456 Data Science Journal Vol. 12(2013) The Activities at Wo M Doiphode457 Data Science Journal Vol. 12(2013) Japanese Contributio A Seta, S 458 Data Science Journal Vol. 12(2013) Data and Information Shuji Abe,459 Data Science Journal Vol. 12(2013) Information About theN Sergeyeva460 Data Science Journal Vol. 12(2013) The Application of an K Wang, C 461 Data Science Journal Vol. 12(2013) Lessons Learned fromA Kitamoto462 Data Science Journal Vol. 12(2013) Multi-Disciplinary Ap Stuart E M463 Data Science Journal Vol. 12(2013) Mathematical Tools f Anatoly Sol464 Data Science Journal Vol. 12(2013) A New Approach to ResJuanle WAN465 Data Science Journal Vol. 12(2013) The State of IPY Dat K Kanao, A466 Data Science Journal Vol. 12(2013) Beyond Data RegulatioO A Ediang467 Data Science Journal Vol. 12(2013) Visualization of the Y Kubota, 468 Data Science Journal Vol. 12(2013) A Science Cloud for DKen T Mura469 Data Science Journal Vol. 12(2013) SPASE: The ConnectionJ R Thieman470 Data Science Journal Vol. 12(2013) Cell Based GIS as Cel Kohei Arai471 Data Science Journal Vol. 12(2013) Data Mining ApproachQiang XU, 472 Data Science Journal Vol. 12(2013) Metadata Modelling oWanming Lu473 Data Science Journal Vol. 12(2013) An Integrated ManageH Watanabe474 Data Science Journal Vol. 12(2013) Inter-University upp H. Hayashi,475 Data Science Journal Vol. 12(2013) Innovations for the CuH L Woolfr476 Data Science Journal Vol. 12(2013) A Maturity Model for W Hugo477 Data Science Journal Vol. 12(2013) Geophysical Data StewE A Kihn, C478 Data Science Journal Vol. 12(2013) Application and MetaHironori Y479 Data Science Journal Vol. 12(2013) Toward a Normalized Alban Gabil
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Year Number URL2002 192003 202004 192005 262006 222007 1532008 232009 682010 292011 322012 182013 792014 1
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Subject Areas Journals URL ProceedingsMathematics 78 5Physics 195 23Chemistry 246 33Earth Sciences and Astronomy 165 20Biology, Life Sciences and Basic Medicine 538 38Agriculture and Food Sciences 356 34General Medicine, Social Medicine, and Nursing Sciences 414 19Clinical Medicine 395 16Dentistry 182 5Pharmaceutical Sciences 272 16Engineering in General 350 43Nanosciences and Materials Sciences 280 33Architecture and Civil Engineering 235 25Mechanical Engineering 235 27Electrical and Electronic Engineering 220 32Information Sciences 279 34Interdisciplinary Sciences 393 61Humanities and Social Sciences 312 24Total 5145 488
Source(As of April 11, 2014) Total number of registered titles: 1,813. Total number of registered articles: 2,555,362 1,685 journals (2,285,690 articles), 128 proceedings
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(As of April 11, 2014) Total number of registered titles: 1,813. Total number of registered articles: 2,555,362 1,685 journals (2,285,690 articles), 128 proceedings
https://www.jstage.jst.go.jp/AF03S040SryLstSrySu?srySybt=2&bnya=010100https://www.jstage.jst.go.jp/AF03S040SryLstSrySu?srySybt=2&bnya=011100https://www.jstage.jst.go.jp/AF03S040SryLstSrySu?srySybt=2&bnya=012100https://www.jstage.jst.go.jp/AF03S040SryLstSrySu?srySybt=2&bnya=014100https://www.jstage.jst.go.jp/AF03S040SryLstSrySu?srySybt=2&bnya=030100https://www.jstage.jst.go.jp/AF03S040SryLstSrySu?srySybt=2&bnya=035100https://www.jstage.jst.go.jp/AF03S040SryLstSrySu?srySybt=2&bnya=050100https://www.jstage.jst.go.jp/AF03S040SryLstSrySu?srySybt=2&bnya=051100https://www.jstage.jst.go.jp/AF03S040SryLstSrySu?srySybt=2&bnya=053100https://www.jstage.jst.go.jp/AF03S040SryLstSrySu?srySybt=2&bnya=054100https://www.jstage.jst.go.jp/AF03S040SryLstSrySu?srySybt=2&bnya=070100https://www.jstage.jst.go.jp/AF03S040SryLstSrySu?srySybt=2&bnya=072100https://www.jstage.jst.go.jp/AF03S040SryLstSrySu?srySybt=2&bnya=073100https://www.jstage.jst.go.jp/AF03S040SryLstSrySu?srySybt=2&bnya=074100https://www.jstage.jst.go.jp/AF03S040SryLstSrySu?srySybt=2&bnya=075100https://www.jstage.jst.go.jp/AF03S040SryLstSrySu?srySybt=2&bnya=090100https://www.jstage.jst.go.jp/AF03S040SryLstSrySu?srySybt=2&bnya=092100https://www.jstage.jst.go.jp/AF03S040SryLstSrySu?srySybt=2&bnya=110100
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Item Number or SizeTotal Number of Standard Scenes 43942Total Volumes (in GB) 12277Site Members 15917Visits 497271Total Number of Data Downloads 246020Total Volumes of Data Downloads (in GB) 53522
SatelliteLANDSAT5 9264 2676GB FASTB,GEOTIFF 1988.01-2011.05LANDSAT7 7855 4455GB FASTL7A,GEOTIFF 1999.08-2003.05LANDSAT8 10564 16997GB FASTB,GEOTIFF 2013.06-IRS-P6 8822 4128GB FASTc 2005.01-2009.12ENVISAT1 322 103GB ENVISAT 2003.12-2006.01ERS2 7115 914GB ENVISAT 2006.01-2009.12
Number The Volumes Product types File format Date Range Level 2 Level 4 Level 2 Level 4 Level 2 Level 4 Level 2 MER PRI
Term DefinitionAirburstAnimal Incident Human encounters with dangerous or exotic animals in both urban and rural environments.Ash FallAvalanche
A hazard caused by long-lived, meso- to macro-scale atmospheric processes ranging from intra-seasonal to multi-decadal climate variability.Coastal ErosionCoastal FloodCold Wave
A type of meteorological hazard generated by the heating of air and the availability of moist and unstable air masses. Convective storms range from localised thunderstorms (with heavy rain and/or hail, lightning, high winds, tornadoes) to meso-scale, multi-day events.
DerechoDiseaseDroughtEarthquake
Expansive Soil
Extreme Temperature
Flash FloodFloodFog Water droplets that are suspended in the air near the Earth’s surface. Fog is simply a cloud that is in contact with the ground.Forest Fire A type of wildfire in a wooded area.Frost, FreezeFungal Disease Exposure to fungi either through skin contact, ingestion or inhalation of spores resulting in an unusual increase in the number of incidents. Examples are fungal pneumonia, fungal meningitis, etc.Geomagnetic StormGlacial Lake Outburst
Surface displacement of earthen materials due to ground shaking triggered by earthquakes or volcanic eruptions.HailHeat Wave
A hazard caused by the occurrence, movement, and distribution of surface and subsurface freshwater and saltwater.Ice Jam FloodImpactInsect InfestationLaharLandslide following Earthquake Independent of the presence of water, mass movement may also be triggered by earthquakes.Lava FlowLightning A high-voltage, visible electrical discharge produced by a thunderstorm and followed by the sound of thunder.Liquefaction
Any type of downslope movement of earth materials.
Prion DiseasePyroclastic Flow
An explosion of a comet or meteoroid within the Earth’s atmosphere without striking the ground.
Fine (less than 4 mm in diameter) unconsolidated volcanic debris blown into the atmosphere during an eruption; can remain airborne for long periods of time and travel considerable distance from the source.A large mass of loosened earth material, snow, or ice that slides, flows or falls rapidly down a mountainside under the force of gravity. • Snow Avalanche: Rapid downslope movement of a mix of snow and ice. • Debris Avalanche: The sudden and very rapid downslope movement of unsorted mass of rock and soil. There are two general types of debris avalanches - a cold debris avalanche usually results from an unstable slope suddenly collapsing whereas a hot debris avalanche results from volcanic activity leading to slope instability and collapse.
Bacterial Disease An unusual increase in the number of incidents caused by the exposure to bacteria either through skin contact, ingestion or inhalation. Examples include salmonella, MSRA, and cholera, among others.Biological Hazard A hazard caused by the exposure to living organisms and their toxic substances (e.g. venom, mold) or vector-borne diseases that they may carry. Examples are venomous wildlife and insects, poisonous plants, and mosquitoes carrying disease-causing agents such as parasites, bacteria, or viruses (e.g. malaria).Climatological Hazard
The temporary or permanent loss of sediments or landmass in coastal margins due to the action of waves, winds, tides, or anthropogenic activities.Higher-than-normal water levels along the coast caused by tidal changes or thunderstorms that result in flooding, which can last from days to weeks.A period of abnormally cold weather. Typically a cold wave lasts two or more days and may be aggravated by high winds. The exact temperature criteria for what constitutes a cold wave vary by location.
Convective StormDebris Flow, Mud Flow, Rock Fall Types of landslides that occur when heavy rain or rapid snow/ice melt send large amounts of vegetation, mud, or rock downslope by gravitational forces.
Widespread and usually fast-moving windstorms associated with convection/convective storm. Derechos include downburst and straight-line winds. The damage from derechos is often confused with the damage from tornadoes.Either an unusual, often sudden, increase in the number of incidents of an infectious disease that already existed in the region (e.g., flu, E. coli) or the appearance of an infectious disease previously absent from the region (e.g., plague, polio).An extended period of unusually low precipitation that produces a shortage of water for people, animals and plants. Drought is different from most other hazards in that it develops slowly, sometimes even over years, and its onset is generally difficult to detect. Drought is not solely a physical phenomenon because its impacts can be exacerbated by human activities and water supply demands. Drought is therefore often defined both conceptually and operationally. Operational definitions of drought, meaning the degree of precipitation reduction that constitutes a drought, vary by locality, climate and environmental sector.Sudden movement of a block of the Earth’s crust along a geological fault and associated ground shaking.
Energetic Particles Emissions from solar radiation storms consisting of pieces of matter (e.g., protons and other charged particles) moving at very high speed. The magnetosphere and atmosphere block (solar) energetic particles (SEP) from reaching humans on Earth but they are damaging to the electronics of space-borne technology (such as satellites) and pose a radiation hazard to life in space and aircrafts travelling at high altitudes.Earthen material, particularly clays that, upon wetting, freezing, or drying will alternately expand or contract causing damage to foundations of buildings and other structures. Shrinkage is generally referred to as desiccation.
Extraterrestrial Hazard A hazard caused by asteroids, meteoroids, and comets as they pass near-earth, enter the Earth’s atmosphere, and/or strike the Earth, and by changes in interplanetary conditions that effect the Earth’s magnetosphere, ionosphere, and thermosphere.Extratropical Storm A type of low-pressure cyclonic system in the middle and high latitudes (also called mid-latitude cyclone) that primarily gets its energy from the horizontal temperature contrasts (fronts) in the atmosphere. When associated with cold fronts, extratropical cyclones may be particularly damaging (e.g., European winter/windstorm, Nor’easter).
A general term for temperature variations above (extreme heat) or below (extreme cold) normal conditions.Fire following Earthquake Urban fires triggered by earthquakes. Particularly susceptible areas include densely spaced, wooden buildings that dominate local architecture, and where the earthquake has damaged or ruptured water and gas pipelines. Small local fires have the potential to merge into conflagrations destroying many city blocks.
Heavy or excessive rainfall in a short period of time that produce immediate runoff, creating flooding conditions within minutes or a few hours during or after the rainfall.A general term for the overflow of water from a stream channel onto normally dry land in the floodplain (riverine flooding), higher-than-normal levels along the coast and in lakes or reservoirs (coastal flooding) as well as ponding of water at or near the point where the rain fell (flash floods).
Frost is the consequence of radiative cooling resulting in the formation of thin ice crystals on the ground or other surfaces in the form of needles, feathers, scales, or fans. Frost occurs when the temperature of surfaces is below freezing and water vapor from humid air forms solid deposits on the cold surface. Freeze occurs when the air temperature is at (32˚F/0˚C) or below over a widespread area for a climatologically significant period of time. Use of the term is usually restricted to advective situations or to occasions when wind or other conditions prevent frost. Frost and freeze are particularly damaging during the crop growing season.
A type of extraterrestrial hazard caused by solar wind shockwaves that temporarily disturb the Earth’s magnetosphere. Geomagnetic storms can disrupt power grids, spacecraft operations, and satellite communications.A flood that occurs when water dammed by a glacier or moraine is suddenly released. Glacial lakes can be at the front of the glacier (marginal lake) or below the ice sheet (sub-glacial lake).
Ground MovementSolid precipitation in the form of irregular pellets or balls of ice more than 5 mm in diameter.A period of abnormally hot and/or unusually humid weather. Typically a heat wave lasts two or more days. The exact temperature criteria for what constitutes a heat wave vary by location.
Hydrological HazardThe accumulation of floating ice restricting or blocking a river’s flow and drainage. Ice jams tend to develop near river bends and obstructions (e.g., bridges).A type of extraterrestrial hazard caused by the collision of the Earth with a meteoroid, asteroid or comet.The pervasive influx, swarming and/or hatching of insects affecting humans, animals, crops, and perishable goods. Examples are locusts and African Bees.Hot or cold mixture of earthen material flowing on the slope of a volcano either during or between volcanic eruptions.
The ejected magma that moves as a liquid mass downslope from a volcano during an eruption.
The transformation of (partially) water-saturated soil from a solid state to a liquid state caused by an earthquake. Liquefaction reduces the strength and stiffness of soil causing buildings to topple over.Mass MovementMeteorological Hazard A hazard caused by short-lived, micro- to meso-scale extreme weather and atmospheric conditions that last from minutes to days.Parasitic Disease Exposure to a parasite–an organism living on or in a host–causes an unusual increase in the number of incidents. Exposure to parasites occurs mostly through contaminated water, food or contact with insects, animals (zoonotic), pets, etc. Examples are malaria, chagas disease, giardiasis and trichinellosis.
A type of biological hazard caused by prion proteins. Prion diseases or transmissible spongiform encephalopathies (TSEs) are a family of rare progressive neurodegenerative disorders that affect both humans and animals characterised by long incubation periods and neural loss. Examples are Bovine Spongiform Encephalophathy (BSE), Creutzfeldt-Jakob-Disease (CJD), Kuru, etc.Extremely hot gases, ash, and other materials of more than 1,000 degrees Celsius that rapidly flow down the flank of a volcano (more than 700 km/h) during an eruption.
Radio Disturbance Triggered by x-ray emissions from the Sun hitting the Earth’s atmosphere and causing disturbances in the ionosphere such as jamming of high and/or low frequency radio signals. This affects satellite radio communication and Global Positioning Systems (GPS).Rain Water vapour condenses in the atmosphere to form water droplets that fall to the Earth.Riverine FloodRogue Wave An unusual single crest of an ocean wave far out at sea that is much higher and/or steeper than other waves in the prevailing swell system.
Seiche A standing wave of water in a large semi- or fully-enclosed body of water (lakes or bays) created by strong winds and/or a large barometric pressure gradient,ShockwaveSinkholeSnow, IceSpace WeatherStorm Surge An abnormal rise in sea level generated by a tropical cyclone or other intense storms.SubsidenceTornado A violently rotating column of air that reaches the ground or open water (waterspout).Tropical CycloneTsunami
Wave ActionWildfireWind
A type of flooding resulting from the overflow of water from a stream or river channel onto normally dry land in the floodplain adjacent to the channel.
Sandstorm, Dust Storm Strong winds carry particles of sand aloft, but generally confined to less than 50 feet (15 m), especially common in arid and semi-arid environments. A dust storm is also characterised by strong winds but carries smaller particles of dust rather than sand over an extensive area.
A shockwave carries energy from a disturbance through a medium (solid, liquid, gas) similar to a wave though it travels at much higher speed. It can be a type of extraterrestrial hazard caused by the explosion (airburst) or impact of meteorites that generate energy shockwaves capable of shattering glass, collapsing walls, etc.Collapse of the land surface due to the dissolving of the subsurface rocks such as limestone or carbonate rock by water.Precipitation in the form of ice crystals/snowflakes or ice pellets (sleet) formed directly from freezing water vapour in the air. Ice accumulates when rain hits the cold surface and freezes.A general term for extraterrestrial weather conditions driven by solar eruptions such as geomagnetic storms, radio disturbances, and solar energetic particles.
Subsidence refers to the sinking of the ground due to groundwater removal, mining, dissolution of limestone (e.g., karst, sinkholes), extraction of natural gas, and earthquakes.
A tropical cyclone originates over tropical or subtropical waters. It is characterised by a warm-core, non-frontal synoptic-scale cyclone with a low pressure centre, spiral rain bands and strong winds. Depending on their location, tropical cyclones are referred to as hurricanes (Atlantic, Northeast Pacific), typhoons (Northwest Pacific), or cyclones (South Pacific and Indian Ocean).A series of waves (with long wavelengths when traveling across the deep ocean) that are generated by a displacement of massive amounts of water through underwater earthquakes, volcanic eruptions or landslides. Tsunami waves travel at very high speed across the ocean but as they begin to reach shallow water they slow down and the wave grows steeper.
Volcanic Activity A type of volcanic event near an opening/vent in the Earth’s surface including volcanic eruptions of lava, ash, hot vapour, gas, and pyroclastic material.Wind-generated surface waves that can occur on the surface of any open body of water such as oceans, rivers and lakes, etc. The size of the wave depends on the strength of the wind and the traveled distance (fetch).Any uncontrolled and non-prescribed combustion or burning of plants in a natural setting such as a forest, grassland, brush land or tundra, which consumes the natural fuels and spreads based on environmental conditions (e.g., wind, topography). Wildfires can be triggered by lightning or human actions.Differences in air pressure resulting in the horizontal motion of air. The greater the difference in pressure, the stronger the wind. Wind moves from high pressure toward low pressure.
Winter Storm, Blizzard A low pressure system in winter months with significant accumulations of snow, freezing rain, sleet or ice. A blizzard is a severe snow storm with winds exceeding 35 mph (56 km/h) for three or more hours, producing reduced visibility (less than .25 mile (400 m).
Human encounters with dangerous or exotic animals in both urban and rural environments.
A hazard caused by long-lived, meso- to macro-scale atmospheric processes ranging from intra-seasonal to multi-decadal climate variability.
A type of meteorological hazard generated by the heating of air and the availability of moist and unstable air masses. Convective storms range from localised thunderstorms (with heavy rain and/or hail, lightning, high winds, tornadoes) to meso-scale, multi-day events.
Water droplets that are suspended in the air near the Earth’s surface. Fog is simply a cloud that is in contact with the ground.
Exposure to fungi either through skin contact, ingestion or inhalation of spores resulting in an unusual increase in the number of incidents. Examples are fungal pneumonia, fungal meningitis, etc.
Surface displacement of earthen materials due to ground shaking triggered by earthquakes or volcanic eruptions.
A hazard caused by the occurrence, movement, and distribution of surface and subsurface freshwater and saltwater.
Independent of the presence of water, mass movement may also be triggered by earthquakes.
A high-voltage, visible electrical discharge produced by a thunderstorm and followed by the sound of thunder.
An explosion of a comet or meteoroid within the Earth’s atmosphere without striking the ground.
Fine (less than 4 mm in diameter) unconsolidated volcanic debris blown into the atmosphere during an eruption; can remain airborne for long periods of time and travel considerable distance from the source.A large mass of loosened earth material, snow, or ice that slides, flows or falls rapidly down a mountainside under the force of gravity. • Snow Avalanche: Rapid downslope movement of a mix of snow and ice. • Debris Avalanche: The sudden and very rapid downslope movement of unsorted mass of rock and soil. There are two general types of debris avalanches - a cold debris avalanche usually results from an unstable slope suddenly collapsing whereas a hot debris avalanche results from volcanic activity leading to slope instability and collapse.An unusual increase in the number of incidents caused by the exposure to bacteria either through skin contact, ingestion or inhalation. Examples include salmonella, MSRA, and cholera, among others.A hazard caused by the exposure to living organisms and their toxic substances (e.g. venom, mold) or vector-borne diseases that they may carry. Examples are venomous wildlife and insects, poisonous plants, and mosquitoes carrying disease-causing agents such as parasites, bacteria, or viruses (e.g. malaria).
The temporary or permanent loss of sediments or landmass in coastal margins due to the action of waves, winds, tides, or anthropogenic activities.Higher-than-normal water levels along the coast caused by tidal changes or thunderstorms that result in flooding, which can last from days to weeks.A period of abnormally cold weather. Typically a cold wave lasts two or more days and may be aggravated by high winds. The exact temperature criteria for what constitutes a cold wave vary by location.
Types of landslides that occur when heavy rain or rapid snow/ice melt send large amounts of vegetation, mud, or rock downslope by gravitational forces.Widespread and usually fast-moving windstorms associated with convection/convective storm. Derechos include downburst and straight-line winds. The damage from derechos is often confused with the damage from tornadoes.Either an unusual, often sudden, increase in the number of incidents of an infectious disease that already existed in the region (e.g., flu, E. coli) or the appearance of an infectious disease previously absent from the region (e.g., plague, polio).An extended period of unusually low precipitation that produces a shortage of water for people, animals and plants. Drought is different from most other hazards in that it develops slowly, sometimes even over years, and its onset is generally difficult to detect. Drought is not solely a physical phenomenon because its impacts can be exacerbated by human activities and water supply demands. Drought is therefore often defined both conceptually and operationally. Operational definitions of drought, meaning the degree of precipitation reduction that constitutes a drought, vary by locality, climate and environmental sector.Sudden movement of a block of the Earth’s crust along a geological fault and associated ground shaking.Emissions from solar radiation storms consisting of pieces of matter (e.g., protons and other charged particles) moving at very high speed. The magnetosphere and atmosphere block (solar) energetic particles (SEP) from reaching humans on Earth but they are damaging to the electronics of space-borne technology (such as satellites) and pose a radiation hazard to life in space and aircrafts travelling at high altitudes.Earthen material, particularly clays that, upon wetting, freezing, or drying will alternately expand or contract causing damage to foundations of buildings and other structures. Shrinkage is generally referred to as desiccation.A hazard caused by asteroids, meteoroids, and comets as they pass near-earth, enter the Earth’s atmosphere, and/or strike the Earth, and by changes in interplanetary conditions that effect the Earth’s magnetosphere, ionosphere, and thermosphere.A type of low-pressure cyclonic system in the middle and high latitudes (also called mid-latitude cyclone) that primarily gets its energy from the horizontal temperature contrasts (fronts) in the atmosphere. When associated with cold fronts, extratropical cyclones may be particularly damaging (e.g., European winter/windstorm, Nor’easter).A general term for temperature variations above (extreme heat) or below (extreme cold) normal conditions.Urban fires triggered by earthquakes. Particularly susceptible areas include densely spaced, wooden buildings that dominate local architecture, and where the earthquake has damaged or ruptured water and gas pipelines. Small local fires have the potential to merge into conflagrations destroying many city blocks.Heavy or excessive rainfall in a short period of time that produce immediate runoff, creating flooding conditions within minutes or a few hours during or after the rainfall.A general term for the overflow of water from a stream channel onto normally dry land in the floodplain (riverine flooding), higher-than-normal levels along the coast and in lakes or reservoirs (coastal flooding) as well as ponding of water at or near the point where the rain fell (flash floods).
Frost is the consequence of radiative cooling resulting in the formation of thin ice crystals on the ground or other surfaces in the form of needles, feathers, scales, or fans. Frost occurs when the temperature of surfaces is below freezing and water vapor from humid air forms solid deposits on the cold surface. Freeze occurs when the air temperature is at (32˚F/0˚C) or below over a widespread area for a climatologically significant period of time. Use of the term is usually restricted to advective situations or to occasions when wind or other conditions prevent frost. Frost and freeze are particularly damaging during the crop growing season.
A type of extraterrestrial hazard caused by solar wind shockwaves that temporarily disturb the Earth’s magnetosphere. Geomagnetic storms can disrupt power grids, spacecraft operations, and satellite communications.A flood that occurs when water dammed by a glacier or moraine is suddenly released. Glacial lakes can be at the front of the glacier (marginal lake) or below the ice sheet (sub-glacial lake).
Solid precipitation in the form of irregular pellets or balls of ice more than 5 mm in diameter.A period of abnormally hot and/or unusually humid weather. Typically a heat wave lasts two or more days. The exact temperature criteria for what constitutes a heat wave vary by location.
The accumulation of floating ice restricting or blocking a river’s flow and drainage. Ice jams tend to develop near river bends and obstructions (e.g., bridges).A type of extraterrestrial hazard caused by the collision of the Earth with a meteoroid, asteroid or comet.The pervasive influx, swarming and/or hatching of insects affecting humans, animals, crops, and perishable goods. Examples are locusts and African Bees.Hot or cold mixture of earthen material flowing on the slope of a volcano either during or between volcanic eruptions.
The ejected magma that moves as a liquid mass downslope from a volcano during an eruption.
The transformation of (partially) water-saturated soil from a solid state to a liquid state caused by an earthquake. Liquefaction reduces the strength and stiffness of soil causing buildings to topple over.
A hazard caused by short-lived, micro- to meso-scale extreme weather and atmospheric conditions that last from minutes to days.Exposure to a parasite–an organism living on or in a host–causes an unusual increase in the number of incidents. Exposure to parasites occurs mostly through contaminated water, food or contact with insects, animals (zoonotic), pets, etc. Examples are malaria, chagas disease, giardiasis and trichinellosis.A type of biological hazard caused by prion proteins. Prion diseases or transmissible spongiform encephalopathies (TSEs) are a family of rare progressive neurodegenerative disorders that affect both humans and animals characterised by long incubation periods and neural loss. Examples are Bovine Spongiform Encephalophathy (BSE), Creutzfeldt-Jakob-Disease (CJD), Kuru, etc.Extremely hot gases, ash, and other materials of more than 1,000 degrees Celsius that rapidly flow down the flank of a volcano (more than 700 km/h) during an eruption.
Triggered by x-ray emissions from the Sun hitting the Earth’s atmosphere and causing disturbances in the ionosphere such as jamming of high and/or low frequency radio signals. This affects satellite radio communication and Global Positioning Systems (GPS).Water vapour condenses in the atmosphere to form water droplets that fall to the Earth.
An unusual single crest of an ocean wave far out at sea that is much higher and/or steeper than other waves in the prevailing swell system.
A standing wave of water in a large semi- or fully-enclosed body of water (lakes or bays) created by strong winds and/or a large barometric pressure gradient,
An abnormal rise in sea level generated by a tropical cyclone or other intense storms.
A violently rotating column of air that reaches the ground or open water (waterspout).
A type of flooding resulting from the overflow of water from a stream or river channel onto normally dry land in the floodplain adjacent to the channel.
Strong winds carry particles of sand aloft, but generally confined to less than 50 feet (15 m), especially common in arid and semi-arid environments. A dust storm is also characterised by strong winds but carries smaller particles of dust rather than sand over an extensive area.
A shockwave carries energy from a disturbance through a medium (solid, liquid, gas) similar to a wave though it travels at much higher speed. It can be a type of extraterrestrial hazard caused by the explosion (airburst) or impact of meteorites that generate energy shockwaves capable of shattering glass, collapsing walls, etc.Collapse of the land surface due to the dissolving of the subsurface rocks such as limestone or carbonate rock by water.Precipitation in the form of ice crystals/snowflakes or ice pellets (sleet) formed directly from freezing water vapour in the air. Ice accumulates when rain hits the cold surface and freezes.A general term for extraterrestrial weather conditions driven by solar eruptions such as geomagnetic storms, radio disturbances, and solar energetic particles.
Subsidence refers to the sinking of the ground due to groundwater removal, mining, dissolution of limestone (e.g., karst, sinkholes), extraction of natural gas, and earthquakes.
A tropical cyclone originates over tropical or subtropical waters. It is characterised by a warm-core, non-frontal synoptic-scale cyclone with a low pressure centre, spiral rain bands and strong winds. Depending on their location, tropical cyclones are referred to as hurricanes (Atlantic, Northeast Pacific), typhoons (Northwest Pacific), or cyclones (South Pacific and Indian Ocean).A series of waves (with long wavelengths when traveling across the deep ocean) that are generated by a displacement of massive amounts of water through underwater earthquakes, volcanic eruptions or landslides. Tsunami waves travel at very high speed across the ocean but as they begin to reach shallow water they slow down and the wave grows steeper.A type of volcanic event near an opening/vent in the Earth’s surface including volcanic eruptions of lava, ash, hot vapour, gas, and pyroclastic material.Wind-generated surface waves that can occur on the surface of any open body of water such as oceans, rivers and lakes, etc. The size of the wave depends on the strength of the wind and the traveled distance (fetch).Any uncontrolled and non-prescribed combustion or burning of plants in a natural setting such as a forest, grassland, brush land or tundra, which consumes the natural fuels and spreads based on environmental conditions (e.g., wind, topography). Wildfires can be triggered by lightning or human actions.Differences in air pressure resulting in the horizontal motion of air. The greater the difference in pressure, the stronger the wind. Wind moves from high pressure toward low pressure.A low pressure system in winter months with significant accumulations of snow, freezing rain, sleet or ice. A blizzard is a severe snow storm with winds exceeding 35 mph (56 km/h) for three or more hours, producing reduced visibility (less than .25 mile (400 m).
A type of meteorological hazard generated by the heating of air and the availability of moist and unstable air masses. Convective storms range from localised thunderstorms (with heavy rain and/or hail, lightning, high winds, tornadoes) to meso-scale, multi-day events.
Exposure to fungi either through skin contact, ingestion or inhalation of spores resulting in an unusual increase in the number of incidents. Examples are fungal pneumonia, fungal meningitis, etc.
Fine (less than 4 mm in diameter) unconsolidated volcanic debris blown into the atmosphere during an eruption; can remain airborne for long periods of time and travel considerable distance from the source.A large mass of loosened earth material, snow, or ice that slides, flows or falls rapidly down a mountainside under the force of gravity. • Snow Avalanche: Rapid downslope movement of a mix of snow and ice. • Debris Avalanche: The sudden and very rapid downslope movement of unsorted mass of rock and soil. There are two general types of debris avalanches - a cold debris avalanche usually results from an unstable slope suddenly collapsing whereas a hot debris avalanche results from volcanic activity leading to slope instability and collapse.An unusual increase in the number of incidents caused by the exposure to bacteria either through skin contact, ingestion or inhalation. Examples include salmonella, MSRA, and cholera, among others.A hazard caused by the exposure to living organisms and their toxic substances (e.g. venom, mold) or vector-borne diseases that they may carry. Examples are venomous wildlife and insects, poisonous plants, and mosquitoes carrying disease-causing agents such as parasites, bacteria, or viruses (e.g. malaria).
A period of abnormally cold weather. Typically a cold wave lasts two or more days and may be aggravated by high winds. The exact temperature criteria for what constitutes a cold wave vary by location.
Widespread and usually fast-moving windstorms associated with convection/convective storm. Derechos include downburst and straight-line winds. The damage from derechos is often confused with the damage from tornadoes.Either an unusual, often sudden, increase in the number of incidents of an infectious disease that already existed in the region (e.g., flu, E. coli) or the appearance of an infectious disease previously absent from the region (e.g., plague, polio).An extended period of unusually low precipitation that produces a shortage of water for people, animals and plants. Drought is different from most other hazards in that it develops slowly, sometimes even over years, and its onset is generally difficult to detect. Drought is not solely a physical phenomenon because its impacts can be exacerbated by human activities and water supply demands. Drought is therefore often defined both conceptually and operationally. Operational definitions of drought, meaning the degree of precipitation reduction that constitutes a drought, vary by locality, climate and environmental sector.
Emissions from solar radiation storms consisting of pieces of matter (e.g., protons and other charged particles) moving at very high speed. The magnetosphere and atmosphere block (solar) energetic particles (SEP) from reaching humans on Earth but they are damaging to the electronics of space-borne technology (such as satellites) and pose a radiation hazard to life in space and aircrafts travelling at high altitudes.Earthen material, particularly clays that, upon wetting, freezing, or drying will alternately expand or contract causing damage to foundations of buildings and other structures. Shrinkage is generally referred to as desiccation.A hazard caused by asteroids, meteoroids, and comets as they pass near-earth, enter the Earth’s atmosphere, and/or strike the Earth, and by changes in interplanetary conditions that effect the Earth’s magnetosphere, ionosphere, and thermosphere.A type of low-pressure cyclonic system in the middle and high latitudes (also called mid-latitude cyclone) that primarily gets its energy from the horizontal temperature contrasts (fronts) in the atmosphere. When associated with cold fronts, extratropical cyclones may be particularly damaging (e.g., European winter/windstorm, Nor’easter).
Urban fires triggered by earthquakes. Particularly susceptible areas include densely spaced, wooden buildings that dominate local architecture, and where the earthquake has damaged or ruptured water and gas pipelines. Small local fires have the potential to merge into conflagrations destroying many city blocks.
A general term for the overflow of water from a stream channel onto normally dry land in the floodplain (riverine flooding), higher-than-normal levels along the coast and in lakes or reservoirs (coastal flooding) as well as ponding of water at or near the point where the rain fell (flash floods).
Frost is the consequence of radiative cooling resulting in the formation of thin ice crystals on the ground or other surfaces in the form of needles, feathers, scales, or fans. Frost occurs when the temperature of surfaces is below freezing and water vapor from humid air forms solid deposits on the cold surface. Freeze occurs when the air temperature is at (32˚F/0˚C) or below over a widespread area for a climatologically significant period of time. Use of the term is usually restricted to advective situations or to occasions when wind or other conditions prevent frost. Frost and freeze are particularly damaging during the crop growing season.
A type of extraterrestrial hazard caused by solar wind shockwaves that temporarily disturb the Earth’s magnetosphere. Geomagnetic storms can disrupt power grids, spacecraft operations, and satellite communications.A flood that occurs when water dammed by a glacier or moraine is suddenly released. Glacial lakes can be at the front of the glacier (marginal lake) or below the ice sheet (sub-glacial lake).
A period of abnormally hot and/or unusually humid weather. Typically a heat wave lasts two or more days. The exact temperature criteria for what constitutes a heat wave vary by location.
The transformation of (partially) water-saturated soil from a solid state to a liquid state caused by an earthquake. Liquefaction reduces the strength and stiffness of soil causing buildings to topple over.
Exposure to a parasite–an organism living on or in a host–causes an unusual increase in the number of incidents. Exposure to parasites occurs mostly through contaminated water, food or contact with insects, animals (zoonotic), pets, etc. Examples are malaria, chagas disease, giardiasis and trichinellosis.A type of biological hazard caused by prion proteins. Prion diseases or transmissible spongiform encephalopathies (TSEs) are a family of rare progressive neurodegenerative disorders that affect both humans and animals characterised by long incubation periods and neural loss. Examples are Bovine Spongiform Encephalophathy (BSE), Creutzfeldt-Jakob-Disease (CJD), Kuru, etc.
Triggered by x-ray emissions from the Sun hitting the Earth’s atmosphere and causing disturbances in the ionosphere such as jamming of high and/or low frequency radio signals. This affects satellite radio communication and Global Positioning Systems (GPS).
Strong winds carry particles of sand aloft, but generally confined to less than 50 feet (15 m), especially common in arid and semi-arid environments. A dust storm is also characterised by strong winds but carries smaller particles of dust rather than sand over an extensive area.
A shockwave carries energy from a disturbance through a medium (solid, liquid, gas) similar to a wave though it travels at much higher speed. It can be a type of extraterrestrial hazard caused by the explosion (airburst) or impact of meteorites that generate energy shockwaves capable of shattering glass, collapsing walls, etc.
Precipitation in the form of ice crystals/snowflakes or ice pellets (sleet) formed directly from freezing water vapour in the air. Ice accumulates when rain hits the cold surface and freezes.
Subsidence refers to the sinking of the ground due to groundwater removal, mining, dissolution of limestone (e.g., karst, sinkholes), extraction of natural gas, and earthquakes.
A tropical cyclone originates over tropical or subtropical waters. It is characterised by a warm-core, non-frontal synoptic-scale cyclone with a low pressure centre, spiral rain bands and strong winds. Depending on their location, tropical cyclones are referred to as hurricanes (Atlantic, Northeast Pacific), typhoons (Northwest Pacific), or cyclones (South Pacific and Indian Ocean).A series of waves (with long wavelengths when traveling across the deep ocean) that are generated by a displacement of massive amounts of water through underwater earthquakes, volcanic eruptions or landslides. Tsunami waves travel at very high speed across the ocean but as they begin to reach shallow water they slow down and the wave grows steeper.
Wind-generated surface waves that can occur on the surface of any open body of water such as oceans, rivers and lakes, etc. The size of the wave depends on the strength of the wind and the traveled distance (fetch).Any uncontrolled and non-prescribed combustion or burning of plants in a natural setting such as a forest, grassland, brush land or tundra, which consumes the natural fuels and spreads based on environmental conditions (e.g., wind, topography). Wildfires can be triggered by lightning or human actions.Differences in air pressure resulting in the horizontal motion of air. The greater the difference in pressure, the stronger the wind. Wind moves from high pressure toward low pressure.A low pressure system in winter months with significant accumulations of snow, freezing rain, sleet or ice. A blizzard is a severe snow storm with winds exceeding 35 mph (56 km/h) for three or more hours, producing reduced visibility (less than .25 mile (400 m).
A large mass of loosened earth material, snow, or ice that slides, flows or falls rapidly down a mountainside under the force of gravity. • Snow Avalanche: Rapid downslope movement of a mix of snow and ice. • Debris Avalanche: The sudden and very rapid downslope movement of unsorted mass of rock and soil. There are two general types of debris avalanches - a cold debris avalanche usually results from an unstable slope suddenly collapsing whereas a hot debris avalanche results from volcanic activity leading to slope instability and collapse.
A hazard caused by the exposure to living organisms and their toxic substances (e.g. venom, mold) or vector-borne diseases that they may carry. Examples are venomous wildlife and insects, poisonous plants, and mosquitoes carrying disease-causing agents such as parasites, bacteria, or viruses (e.g. malaria).
An extended period of unusually low precipitation that produces a shortage of water for people, animals and plants. Drought is different from most other hazards in that it develops slowly, sometimes even over years, and its onset is generally difficult to detect. Drought is not solely a physical phenomenon because its impacts can be exacerbated by human activities and water supply demands. Drought is therefore often defined both conceptually and operationally. Operational definitions of drought, meaning the degree of precipitation reduction that constitutes a drought, vary by locality, climate and environmental sector.
Emissions from solar radiation storms consisting of pieces of matter (e.g., protons and other charged particles) moving at very high speed. The magnetosphere and atmosphere block (solar) energetic particles (SEP) from reaching humans on Earth but they are damaging to the electronics of space-borne technology (such as satellites) and pose a radiation hazard to life in space and aircrafts travelling at high altitudes.
A type of low-pressure cyclonic system in the middle and high latitudes (also called mid-latitude cyclone) that primarily gets its energy from the horizontal temperature contrasts (fronts) in the atmosphere. When associated with cold fronts, extratropical cyclones may be particularly damaging (e.g., European winter/windstorm, Nor’easter).
Urban fires triggered by earthquakes. Particularly susceptible areas include densely spaced, wooden buildings that dominate local architecture, and where the earthquake has damaged or ruptured water and gas pipelines. Small local fires have the potential to merge into conflagrations destroying many city blocks.
A general term for the overflow of water from a stream channel onto normally dry land in the floodplain (riverine flooding), higher-than-normal levels along the coast and in lakes or reservoirs (coastal flooding) as well as ponding of water at or near the point where the rain fell (flash floods).
Frost is the consequence of radiative cooling resulting in the formation of thin ice crystals on the ground or other surfaces in the form of needles, feathers, scales, or fans. Frost occurs when the temperature of surfaces is below freezing and water vapor from humid air forms solid deposits on the cold surface. Freeze occurs when the air temperature is at (32˚F/0˚C) or below over a widespread area for a climatologically significant period of time. Use of the term is usually restricted to advective situations or to occasions when wind or other conditions prevent frost. Frost and freeze are particularly damaging during the crop growing season.
Exposure to a parasite–an organism living on or in a host–causes an unusual increase in the number of incidents. Exposure to parasites occurs mostly through contaminated water, food or contact with insects, animals (zoonotic), pets, etc. Examples are malaria, chagas disease, giardiasis and trichinellosis.A type of biological hazard caused by prion proteins. Prion diseases or transmissible spongiform encephalopathies (TSEs) are a family of rare progressive neurodegenerative disorders that affect both humans and animals characterised by long incubation periods and neural loss. Examples are Bovine Spongiform Encephalophathy (BSE), Creutzfeldt-Jakob-Disease (CJD), Kuru, etc.
A shockwave carries energy from a disturbance through a medium (solid, liquid, gas) similar to a wave though it travels at much higher speed. It can be a type of extraterrestrial hazard caused by the explosion (airburst) or impact of meteorites that generate energy shockwaves capable of shattering glass, collapsing walls, etc.
A tropical cyclone originates over tropical or subtropical waters. It is characterised by a warm-core, non-frontal synoptic-scale cyclone with a low pressure centre, spiral rain bands and strong winds. Depending on their location, tropical cyclones are referred to as hurricanes (Atlantic, Northeast Pacific), typhoons (Northwest Pacific), or cyclones (South Pacific and Indian Ocean).A series of waves (with long wavelengths when traveling across the deep ocean) that are generated by a displacement of massive amounts of water through underwater earthquakes, volcanic eruptions or landslides. Tsunami waves travel at very high speed across the ocean but as they begin to reach shallow water they slow down and the wave grows steeper.
Any uncontrolled and non-prescribed combustion or burning of plants in a natural setting such as a forest, grassland, brush land or tundra, which consumes the natural fuels and spreads based on environmental conditions (e.g., wind, topography). Wildfires can be triggered by lightning or human actions.
A large mass of loosened earth material, snow, or ice that slides, flows or falls rapidly down a mountainside under the force of gravity. • Snow Avalanche: Rapid downslope movement of a mix of snow and ice. • Debris Avalanche: The sudden and very rapid downslope movement of unsorted mass of rock and soil. There are two general types of debris avalanches - a cold debris avalanche usually results from an unstable slope suddenly collapsing whereas a hot debris avalanche results from volcanic activity leading to slope instability and collapse.
An extended period of unusually low precipitation that produces a shortage of water for people, animals and plants. Drought is different from most other hazards in that it develops slowly, sometimes even over years, and its onset is generally difficult to detect. Drought is not solely a physical phenomenon because its impacts can be exacerbated by human activities and water supply demands. Drought is therefore often defined both conceptually and operationally. Operational definitions of drought, meaning the degree of precipitation reduction that constitutes a drought, vary by locality, climate and environmental sector.
Emissions from solar radiation storms consisting of pieces of matter (e.g., protons and other charged particles) moving at very high speed. The magnetosphere and atmosphere block (solar) energetic particles (SEP) from reaching humans on Earth but they are damaging to the electronics of space-borne technology (such as satellites) and pose a radiation hazard to life in space and aircrafts travelling at high altitudes.
Frost is the consequence of radiative cooling resulting in the formation of thin ice crystals on the ground or other surfaces in the form of needles, feathers, scales, or fans. Frost occurs when the temperature of surfaces is below freezing and water vapor from humid air forms solid deposits on the cold surface. Freeze occurs when the air temperature is at (32˚F/0˚C) or below over a widespread area for a climatologically significant period of time. Use of the term is usually restricted to advective situations or to occasions when wind or other conditions prevent frost. Frost and freeze are particularly damaging during the crop growing season.
A large mass of loosened earth material, snow, or ice that slides, flows or falls rapidly down a mountainside under the force of gravity. • Snow Avalanche: Rapid downslope movement of a mix of snow and ice. • Debris Avalanche: The sudden and very rapid downslope movement of unsorted mass of rock and soil. There are two general types of debris avalanches - a cold debris avalanche usually results from an unstable slope suddenly collapsing whereas a hot debris avalanche results from volcanic activity leading to slope instability and collapse.
An extended period of unusually low precipitation that produces a shortage of water for people, animals and plants. Drought is different from most other hazards in that it develops slowly, sometimes even over years, and its onset is generally difficult to detect. Drought is not solely a physical phenomenon because its impacts can be exacerbated by human activities and water supply demands. Drought is therefore often defined both conceptually and operationally. Operational definitions of drought, meaning the degree of precipitation reduction that constitutes a drought, vary by locality, climate and environmental sector.
Frost is the consequence of radiative cooling resulting in the formation of thin ice crystals on the ground or other surfaces in the form of needles, feathers, scales, or fans. Frost occurs when the temperature of surfaces is below freezing and water vapor from humid air forms solid deposits on the cold surface. Freeze occurs when the air temperature is at (32˚F/0˚C) or below over a widespread area for a climatologically significant period of time. Use of the term is usually restricted to advective situations or to occasions when wind or other conditions prevent frost. Frost and freeze are particularly damaging during the crop growing season.
An extended period of unusually low precipitation that produces a shortage of water for people, animals and plants. Drought is different from most other hazards in that it develops slowly, sometimes even over years, and its onset is generally difficult to detect. Drought is not solely a physical phenomenon because its impacts can be exacerbated by human activities and water supply demands. Drought is therefore often defined both conceptually and operationally. Operational definitions of drought, meaning the degree of precipitation reduction that constitutes a drought, vary by locality, climate and environmental sector.
Frost is the consequence of radiative cooling resulting in the formation of thin ice crystals on the ground or other surfaces in the form of needles, feathers, scales, or fans. Frost occurs when the temperature of surfaces is below freezing and water vapor from humid air forms solid deposits on the cold surface. Freeze occurs when the air temperature is at (32˚F/0˚C) or below over a widespread area for a climatologically significant period of time. Use of the term is usually restricted to advective situations or to occasions when wind or other conditions prevent frost. Frost and freeze are particularly damaging during the crop growing season.
Database EM-DAT NatCatSERVICESpatial Coverage Global GlobalSpatial Resolution Country CountryTemporal Coverage 1900 – present 79 AD – presentNumber of Records >20,000 >33,000Recording Thresholds ≥10 fatalities, ≥100 affected, declaration Data Sources U.N agencies, IFRC, World Bank, reinsurersProperty claims service,Audience Humanitarian community, academia General public, insurancDownload URL Owner Centre for Research on the Epidemiology oMunich Re, Germany
http://www.emdat.be/
Sigma GLIDE DesInventar SHELDUSGlobal Global National NationalCountry Country County, municipality U.S. county 1930 – present Varies by country, more than 1960 – present >5,000 Varies by country >800,000 ≥10 fatalities, ≥100 af ≥1 human loss or ≥$1 in econo≥1 human loss or ≥$1 in economic loss U.N agencies, IFRC, WorU.N agencies, weather services,U.S. National Climatic Data Center, National Geophysical Data Center, U.S. Geological Survey, etc.General public, insurance induLoss database operatoEmergency management, hazarEmergency management, hazard mitigation planning, academia Swiss Re, Switzerland Asian Disaster Reducti Varies by country Hazards and Vulnerability Research Institute (HVRI), University of South Carolina, USA
http://www.glidenumber.net/http://www.desinventar.org/ http://www.sheldus.org/
≥1 human loss or ≥$1 in economic lossU.S. National Climatic Data Center, National Geophysical Data Center, U.S. Geological Survey, etc.Emergency management, hazard mitigation planning, academia
Hazards and Vulnerability Research Institute (HVRI), University of South Carolina, USA
Indicator EM-DAT NatCatSERSigma GLIDE DesInventaSHELDUSKilled x x x xInjured x x x x xMissing x x Homeless x x x Affected x x x Evacuated x x Relocated x Displaced x Property Loss x xCrop Loss x xEnvironmental Loss x Insured Loss x x Relocated Displaced x Property Loss x Crop Loss x Environmental Loss x Insured Loss x x Aggregate Economic Loss x x x x Infrastructure Damage x x x Economic Sector Damage x x x
Indicator EM-DAT NatCatSERSigma GLIDE DesInventaSHELDUSx x x x xx x x x xx x x x xx x x
Biological x x
Geophysical x Hydrological x Meteorological x Climatological x x x
x Extraterrestrial Technological x x x x Terrorism x
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