br Experimental design materials and

Experimental design, materials and methods (http://www.mat.uniroma2.it/~gandola/ACQU/→ACQUA_Matlab_libraries.rar).
Download http://www.mat.uniroma2.it/~gandola/ACQUA/→ACQUA_Matlab_libraries.rar.
Acknowledgments
M.A. acknowledges FRIAS COFUND Fellowship Programme (University of Freiburg, Germany) and People Programme (Marie Curie Actions) of the European Union׳s Seventh Framework Programme (FP/2007-2013) under REA grant agreement no. [609305].
Experimental design, materials and methods
Acknowledgments The authors are grateful to the Bushehr University of Medical Sciences (Grant no. 8431) for their financial support and the laboratory staff of the Environmental Health Engineering Department for their cooperation. The funder had no role in study design, data collection and analysis, or preparation of the manuscript.
Data The Hawaiʻi Coral Disease database (HICORDIS) consists of observational surveys of coral health conducted across the Hawaiian archipelago between 2005 and 2015 (Table S1). Ten research groups from academic institutions (University of Hawaiʻi at Mānoa, University of Hawaiʻi, Hilo, Cornell University, University of Wellington), state and federal agencies (Hawaiʻi/Maui Division of Aquatic Resources, National Oceanic and Atmospheric Administration Coral Reef Ecosystem Program) collected survey data at 17 islands and atolls spanning nine degrees of latitude (Fig. 1, Table S2). Data were recorded for 286,071 coral colonies on 1819 transects at 660 sites (Fig. 1). These sites capture the variability in coral BMN673 composition and environmental conditions that occur across the ~2400km Hawaiian archipelago. The data presented in this paper were used in the research article “Satellite SST-based Coral Disease Outbreak Predictions for the Hawaiian Archipelago” [1].
Experimental design, materials and methods
Acknowledgments We thank the National Oceanic and Atmospheric Administration (NOAA) Coral Reef Ecosystem Program and NESDIS/Center for Satellite Applications and Research for early development of systemic circuit database. This work was supported by the NOAA Coral Reef Conservation Program (project ID 20315 to BVA and SFH NA09NMF4630121 to CSC; and NA09NOS4260100 to WW), NOAA Office of Sea Grant, Department of Commerce (Institutional Grant no. NA09OAR4170060 to MW), The Kohala Center (CSC), National Science Foundation Graduate Research Fellowship (CSC), Cornell University (CSC), NASA Earth and Space Fellowship (JMC), Charles H. and Margaret B. Edmondson Research Fund (JMC), National Science Foundation Center for Research Excellence in Science and Technology for the Center in Tropical Ecology and Evolution in Marine and Terrestrial Environments (Grant no. 0833211 to MT) and ESPCoR Hawai‘i research grant (EPS-0903833 to MT).
1. Data Table 1 (in [4]) provides an outline of the categories applied and the grading system applied; Supplementary Table 1a presents the households’ profiled; Fig. 1 shows the research locations; Supplementary Table 2 presents the agency/extension and analytic procedure leading from the main topics to the specific research topic; Supplementary Table 3 ‘Category Index’ presents a Summary of the policy issues in the appraisal of decision processes in relation to farm households’ capacity for innovation; Supplementary Table 4 shows the analytic procedure leading from the main topic of the research (see [4]) to the specific questions; Supplementary Table 5 presents an overview of the farm households characteristics with emphasis on common characteristics.
Experimental design, materials and methods
Data Figs. 1 and 2 show the data on sample collection and how the data loggers and rain gauges have been installed along the altitudinal gradients. Fig. 3 presents spatially continuous data for temperatures (A); rainfall (B); and relative humidity (C) along Taita Hills. Fig. 4 presents spatially continuous data for temperatures (D); rainfall (E); and relative humidity (F) along Mount Kilimanjaro under current climatic condition.