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Early Experience Prototyping a Science Data Server for Environmental Data Deb Agarwal (LBL) Catharine van Ingen (MSFT) 25 October 2006
Documents Early Experience Prototyping a Science Data Server for Environmental Data Deb Agarwal (LBL) Catharine van Ingen (MSFT) 25 October 2006

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SOTS TRAINING September 7, 2011. VETERAN 3.1 Veteran means a person who served in the active military, naval, or air service and who was discharged or
Documents SOTS TRAINING September 7, 2011. VETERAN 3.1 Veteran means a person who served in the active military, naval, or air service and who was discharged or

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1 Welcome Overview of DOCSIS. 2 Data Over Cable Service Interface Specification
Documents 1 Welcome Overview of DOCSIS. 2 Data Over Cable Service Interface Specification

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THEME – 1 Mining CIMMYT germplasm data to inform breeding targets for CC adaptation
Science THEME – 1 Mining CIMMYT germplasm data to inform breeding targets for CC adaptation

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[13.07.07] albertsen mewe13 metagenomics
Technology [13.07.07] albertsen mewe13 metagenomics

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2015 US Combustion Meeting - West - Identification, Correction, and Comparison of Detailed Kinetic Models
Science 2015 US Combustion Meeting - West - Identification, Correction, and Comparison of Detailed Kinetic Models

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The Long-Term Effects of Exposure to Low Doses of Lead in Childhood - 1991
Healthcare The Long-Term Effects of Exposure to Low Doses of Lead in Childhood - 1991

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Berkeley Water Center Early Experience Prototyping a Science Data Server for Environmental Data Deb Agarwal, LBL (daagarwal@lbl.gov) Catharine van Ingen,
Documents Berkeley Water Center Early Experience Prototyping a Science Data Server for Environmental Data Deb Agarwal, LBL ([email protected]) Catharine van Ingen,

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BLM’s Draft Management Plans for Western Oregon: A Summary June 2015
Documents BLM’s Draft Management Plans for Western Oregon: A Summary June 2015

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Conditional Logistic Regression for Matched Data HRP 261 02/25/04 reading: Agresti chapter 9.2
Documents Conditional Logistic Regression for Matched Data HRP 261 02/25/04 reading: Agresti chapter 9.2

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Farming a Flat Function AAE 320. Overview of Talk “Farming a Flat Function” What is it? (Give Examples) What does it mean? (Implications) In my opinion,
Documents Farming a Flat Function AAE 320. Overview of Talk “Farming a Flat Function” What is it? (Give Examples) What does it mean? (Implications) In my opinion,

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Logistic Regression III: Advanced topics Conditional Logistic Regression for Matched Data Conditional Logistic Regression for Matched Data
Documents Logistic Regression III: Advanced topics Conditional Logistic Regression for Matched Data Conditional Logistic Regression for Matched Data

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