'Data synthesis' presentation slideshows

Barton Springs Aquifer Geochemistry

Barton Springs Aquifer Geochemistry. Brad Garner Jackson School of Geosciences Dec. 2, 2004. pH = -log([H + ]). H 2 CO 3 * <-> H + + HCO 3 -. CaCO 3 (s) <-> Ca +2 + CO 3 -2. HCO 3 - <-> H + + CO 3 -2. CO 2 (g) <-> CO 2 (aq). Ca +2. TITRATION. CO 2 (aq) <-> H 2 CO 3 *. Mg +2.

1.1k views • 94 slides

Barton Springs Aquifer Geochemistry

Barton Springs Aquifer Geochemistry. Brad Garner Jackson School of Geosciences Dec. 2, 2004. pH = -log([H + ]). H 2 CO 3 * <-> H + + HCO 3 -. CaCO 3 (s) <-> Ca +2 + CO 3 -2. HCO 3 - <-> H + + CO 3 -2. CO 2 (g) <-> CO 2 (aq). Ca +2. TITRATION. CO 2 (aq) <-> H 2 CO 3 *. Mg +2.

953 views • 94 slides

Completing a Campbell Systematic Review

Completing a Campbell Systematic Review . Paul Montgomery Joanne Yaffe David Albright. Society for Social Work and Research Washington, DC January 15, 2012. Mission:

982 views • 78 slides

4/16/2008

510 views • 37 slides

Evolution of CLIVAR

435 views • 29 slides

Jingfeng Xiao Complex Systems Research Center, University of New Hampshire

Success and Failure of Implementing Data-driven Upscaling U sing Flux Networks and Remote Sensing. Jingfeng Xiao Complex Systems Research Center, University of New Hampshire. FLUXNET and Remote Sensing Open Workshop June 7-9, 2011, Berkeley, CA. Outline. Progress Applications

435 views • 27 slides

PARIS 21 Meeting Ghana 27-28 July 2005

360 views • 25 slides

Academic english iii

Academic english iii. December 10, 2013. Today. Writing clarity: Avoiding nominalization Peer feedback for Paper 4. Nominalization. Noun forms of verbs. i.e., illustrate ? illustration fail ? failure react ? reaction. Nominalization. Turning a verb into a noun.

464 views • 24 slides

Two stories about data-intensive science Find It! Fuel It- With Your Own Data! Have Fun With It!

Data Intensive Science: What it Means for You Dave Anderson, NOAA & World Data Center for Paleoclimatology. Hoping for 50% Slides and 50% Discussion. Two stories about data-intensive science Find It! Fuel It- With Your Own Data! Have Fun With It!. Data Intensive Science.

448 views • 23 slides

Integration and Synthesis

WORKSHOP : LESSONS FROM THE 2007 ICE MINIMUM. Integration and Synthesis. Preface. WORKSHOP : LESSONS FROM THE 2007 ICE MINIMUM. Component-level data and understanding. Temporal. Spatial. Quant. WORKSHOP : LESSONS FROM THE 2007 ICE MINIMUM.

394 views • 21 slides

HydroServer A Platform for Publishing Space-Time Hydrologic Datasets

HydroServer A Platform for Publishing Space-Time Hydrologic Datasets. http://his.cuahsi.org/. Jeffery S. Horsburgh David G. Tarboton, Kimberly A. T. Schreuders, David R. Maidment, Ilya Zaslavsky, and David Valentine. CUAHSI HIS Sharing hydrologic data. Support EAR 0622374. CUAHSI HIS.

308 views • 18 slides

HYDROLOGIC METADATA CATALOG AND SEMANTIC SEARCH SERVICES IN CUAHSI HIS

HYDROLOGIC METADATA CATALOG AND SEMANTIC SEARCH SERVICES IN CUAHSI HIS. Thomas Whitenack David Valentine, Ilya Zaslavsky, Michael Piasecki, David G. Tarboton, Jeffery S. Horsburgh, Timothy Whiteaker, Daniel Ames, David R. Maidment. http://his.cuahsi.org/. CUAHSI HIS

304 views • 18 slides

Data Generation, Complexity and Synthesis

Data Generation, Complexity and Synthesis. Prof. Rob Kitchin, NIRSA, NUI Maynooth. Introduction. Generating data is about creating empirical evidence It is not a neutral, passive exercise It is generation, not collection; creation not harvesting It is theoretically informed

295 views • 18 slides

Synthesis of Arctic Research (SOAR)

Synthesis of Arctic Research (SOAR). Sue Moore, NOAA/NMFS Phyllis Stabeno, NOAA/OAR Lisa Guy, NOAA/JISAO Heather Crowley, BOEM/Alaska Region. OUTLINE. SOAR BACKGROUND OVERVIEW CONTEXT TIMELINE LINKS TO PacMARS. Photo: K. Stafford. SOAR BACKGROUND .

399 views • 16 slides

Linked data

233 views • 16 slides

Combined Break-out Group 3 Report Backs Wednesday Morning

Combined Break-out Group 3 Report Backs Wednesday Morning. Simulation and Modeling. Research issues in Simulation and Modeling for Eco-Informatics. Coupling diverse models that use different assumptions or definitions, or that represent a wide range of spatial and temporal scales

228 views • 15 slides

Scaling Sensors with Data Synthesis

Scaling Sensors with Data Synthesis. Catharine van Ingen eScience Group Microsoft Research. It was six * men of Indostan , to learning much inclined, Who went to see the elephant though all of them were blind, That each by observation, might satisfy his mind. * data reporting error.

240 views • 12 slides

MISSION PLANNING WORKING GROUP -ROADMAP- Technology Needs Discussion May 20, 2008

MISSION PLANNING WORKING GROUP -ROADMAP- Technology Needs Discussion May 20, 2008. Ted Tarbell Lockheed Martin Solar & Astrophysics Lab. Question to Address.

183 views • 6 slides