Microsoft Research License Agreement

Non-Commercial Use Only


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This Microsoft Research License Agreement, including all exhibits ("MSR-LA") is a legal agreement between you and Microsoft Research Ltd. (�Microsoft� or �we�) for the software or data identified above, which may include source code, and any associated materials, text or speech files, associated media and "online" or electronic documentation and any updates we provide in our discretion (together, the "Software").

 

By executing this MSR-LA and/or by installing, copying, or otherwise using this Software, found at http://research.microsoft.com/downloads, you agree to be bound by the terms of this MSR-LA.� If you do not agree, do not install copy or use the Software. The Software is protected by copyright and other intellectual property laws and is licensed, not sold.���

 

SCOPE OF RIGHTS:

You may use, copy, reproduce, and distribute this Software for any non-commercial purpose, subject to the restrictions in this MSR-LA. Some purposes which can be non-commercial are teaching, academic research, public demonstrations and personal experimentation. You may also distribute this Software with books or other teaching materials, or publish the Software on websites, that are intended to teach the use of the Software for academic or other non-commercial purposes.

You may not use or distribute this Software or any derivative works in any form for commercial purposes. Examples of commercial purposes would be running business operations, licensing, leasing, or selling the Software, distributing the Software for use with commercial products, using the Software in the creation or use of commercial products or any other activity which purpose is to procure a commercial gain to you or others.

If the Software includes source code or data, you may create derivative works of such portions of the Software and distribute the modified Software for non-commercial purposes, as provided herein.�

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In return, we simply require that you agree:

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Software: Copyright (c) Microsoft Corporation.� All rights reserved.


 

 

DATA NOTICES

<< Fully Data-Constrained Model of Global Vegetation >>

 

This software uses material from the data files listed below (collectively, �Third Party Data�).� Please Note:� Microsoft is not the original author of the Third Party Data.� The URL for the original file source, the original copyright notice and the license under which Microsoft received Third Party Code are set forth below. Such notices are provided solely for your information.� Microsoft does not include any of the original Third Party Data herein but does include derivate works based on the Third Party Data.� Unless applicable law gives you more rights, Microsoft reserves all other rights not expressly granted under this agreement, whether by implication, estoppel or otherwise.

 

1.    Data obtained from the Climatic Research Unit, University of East Anglia

a.    CRU CL 2.0 Global gridded climate data

Citation: New, M., Lister, D., Hulme, M. & Makin, I. A high-resolution data set of surface climate over global land areas. Climate Research 21, 1-25 (2002).

Source: http://www.cru.uea.ac.uk/cru/data/hrg/

2.    Data obtained from Oak Ridge National Laboratory Distributed Active Archive Centre (ORNL-DAAC)

a.    "Class B site" Net Primary Productivity (NPP) data arising from the Ecosystem Model-Data Intercomparison (EMDI) workshops following the Global Primary Production Data Initiative (GPDDI)

Citation: Olson, R. J., J. M. O. Scurlock, S. D. Prince, D. L. Zheng, and K. R. Johnson (eds.). 2001.� NPP Multi-Biome: NPP and Driver Data for Ecosystem Model-Data Intercomparison. Data set.� Available on-line [http://www.daac.ornl.gov] from the Oak Ridge National Laboratory Distributed Active Archive Center, Oak Ridge, Tennessee, U.S.A.

Source: http://daac.ornl.gov/NPP/html_docs/EMDI_des.html, the EMDI_ClassB_NPP_933_v2.csv dataset was used

b.    Global Gridded Surfaces of Selected Soil Characteristics (IGBP-DIS)

Citation: Global Soil Data Task Group. 2000. Global Gridded Surfaces of Selected Soil Characteristics (IGBP-DIS). [Global Gridded Surfaces of Selected Soil Characteristics (International Geosphere-Biosphere Programme - Data and Information System)].� Data set. Available on-line [http://www.daac.ornl.gov] from Oak Ridge National Laboratory Distributed Active Archive Center,� Oak Ridge, Tennessee, U.S.A. doi:10.3334/ORNLDAAC/569.

Source: http://daac.ornl.gov/SOILS/guides/igbp-surfaces.html

c.    Soil available water capacity data

 

Citation: Batjes, N. H. (ed.). 2000. Global Data Set of Derived Soil Properties, 0.5-Degree Grid (ISRIC-WISE). [Global Data Set of Derived Soil Properties, 0.5-Degree Grid (International Soil Reference and Information Centre - World Inventory of Soil Emission Potentials)]. Data set. Available on-line [http://www.daac.ornl.gov] from Oak Ridge National Laboratory Distributed Active Archive Center, Oak Ridge, Tennessee, U.S.A. doi:10.3334/ORNLDAAC

Source: http://daac.ornl.gov/SOILS/guides/IsricGrids.html

 

3.    Data obtained from Carbon Dioxide Information and Analysis Centre (CDIAC)

a.    IPCC Tier-1 Global Biomass Carbon Map - Year 2000

Citation: Ruesch, Aaron, and Holly K. Gibbs. 2008. New IPCC Tier-1 Global Biomass Carbon Map For the Year 2000. Available online from the Carbon Dioxide Information Analysis Center [http://cdiac.ornl.gov], Oak Ridge National Laboratory, Oak Ridge, Tennessee.

Source: http://cdiac.ornl.gov/epubs/ndp/global_carbon/carbon_documentation.html

4.    Data obtained from Florent Mouillot

a.    Global Fire Data

Citation: Mouillot,F. & Field, C. B., Fire history and the global carbon budget. Global Change Biology, 11(3): 398-420 (2005).

Source: Data obtained from authors web-page

5.    Data obtained from scientific publications published by John Wiley & Sons Ltd.

a.    Global root turnover data

Citation: Gill, R., & Jackson, R. B. Global Patterns of root turnover for terrestrial ecosystems. New Phytologist, 81, 275-280 (2000). Published by John Wiley & Sons Ltd.

Source: Data obtained from Appendix I of the Citation above, with permission for reproduction granted by the authors and the publishers Wiley. The data is also available from http://daac.ornl.gov/VEGETATION/guides/global_root_turnover.html Gill, R., and R. B. Jackson. 2003. Global Distribution of Root Turnover in Terrestrial Ecosystems. Data set. Available on-line [http://www.daac.ornl.gov] from Oak Ridge National Laboratory Distributed.

b.    Forest turnover data

Citation: Stephenson, N. L. & van Mantgem, P.J., Forest turnover rates follow global and regional patterns of productivity. Ecology Letters, 8, 524-531 (2005). Published by John Wiley & Sons Ltd.

Source: Data obtained from the online Appendix of the above citation at http://onlinelibrary.wiley.com/doi/10.1111/j.1461-0248.2005.00746.x/suppinfo (accessed on 21/11/11)

6.    Data obtained from GLOPNET initiative

a.    GLOPNET Leaf Traits data

Citation: Wright et al. (2004) The worldwide leaf economics spectrum. Nature, 428, 821.

Source: The data was obtained from the authors (Ian Wright and Peter Reich). This dataset was originally published as part of supplementary information to the above named Citation.

7.    Data obtained from scientific publications published by the American Geophysical Union

a.    Global litter production data

Citation: Matthews, E. Global litter production, pools and turnover times: Estimates from measurement data and regression models.� Journal of Geophysical Research, 102, 18771-18800.

Source: Data obtained from columns "Vegetation Type" and "3D" of Table 5 in the above citation

8.    Data obtained from scientific publications published by Springer

a.    Metabolic fraction of carbon in terrestrial vegetation

Citation: Ise, T. & Moorcroft, P.R. The global-scale temperature and moisture dependencies of soil organic carbon decomposition: an analysis using a mechanistic decomposition model. Biogeochemistry, 80, 217-231 (2006). Published by Springer and data reproduced with kind permission from Springer Science+Business Media B.V.

Source: Table 1 of the Citation above, which was constructed using data from Foley, J. A., Prentice I. C., Ramankutty, N., Levis, S., Pollard, D., Sitch, S., Haxeltine, A. An integrated biosphere model of land surface processes, terrestrial carbon balance, and vegetation dynamics. Global Biogeochemical Cycles, 10, 603�628 (1996) and Potter, C. S., Randerson, J. T., Field, C. B., Matson, P. A., Vitousek, P. M., Mooney, H. A., Klooster, S. A. Terrestrial Ecosystem Production: a process model based on global satellite and surface data. Global Biogeochemical Cycles, 7, 811�841 (1993).

 

9.    Data obtained from the European Commission

a.    Global land cover for the year 2000

Citation: Bartholome, E. M., & Belward A. S., GLC2000; a new approach to global land cover mapping from Earth Observation data, International Journal of Remote Sensing, 26, 1959-1977 (2005). The Global Land Cover Map for the Year 2000, 2003.

Source: http://bioval.jrc.ec.europa.eu/products/glc2000/data_access.php