Listed below are known citations to the NASA Socioeconomic Data and Applications Center (SEDAC) Socioeconomic Downscaled Projections data collection. The data collection, and specific data set (if known), being cited are beneath each citation. Citations to multiple collections/sets are listed on separate lines. If a publication cites remotely sensed earth observation data, whether from NASA or another source, those instruments and/or platforms are listed as well.
List last updated on 3 October 2023.

Akashi, O., Hanaoka, T., Matsuoka, Y., & Kainuma, M. (2011). A projection for global CO2 emissions from the industrial sector through 2030 based on activity level and technology changes. Energy, 36(4), 1855-1867. doi:10.1016/j.energy.2010.08.016
Socioeconomic Downscaled Projections (Country-Level GDP and Downscaled Projections Based on the SRES A1, A2, B1, and B2 Marker Scenarios, v1)

Akpinar-Ferrand, E., & Singh, A. (2010). Modeling increased demand of energy for air conditioners and consequent CO2 emissions to minimize health risks due to climate change in India. Environmental Science & Policy, 13(8), 702-712. doi:10.1016/j.envsci.2010.09.009
Socioeconomic Downscaled Projections (Country-Level Population and Downscaled Projections Based on the SRES A1, B1, and A2 Scenarios, v1)

Alcamo, J., Dronin, N., Endejan, M., Golubev, G., & Kirilenko, A. (2007). A new assessment of climate change impacts on food production shortfalls and water availability in Russia. Global Environmental Change, 17(3-4), 429-444. doi:10.1016/j.gloenvcha.2006.12.006 
Socioeconomic Downscaled Projections (Country-Level GDP and Downscaled Projections Based on the SRES A1, A2, B1, and B2 Marker Scenarios, v1)
Socioeconomic Downscaled Projections (Country-Level Population and Downscaled Projections Based on the SRES B2 Scenario, v1)

Arnell, N. W. (2004). Climate change and global water resources: SRES emissions and socio-economic scenarios. Global Environmental Change, 14(1), 31-52. doi:10.1016/j.gloenvcha.2003.10.006
Gridded Population of the World (GPW) v2
Socioeconomic Downscaled Projections (Country-Level Population and Downscaled Projections Based on the SRES A1, B1, and A2 Scenarios, v1)

Arnell, N. W., Livermore, M. J. L., Kovats, S., Levy, P. E., Nicholls, R. J., Parry, M. L., & Gaffin, S. (2004). Climate and socio-economic scenarios for global-scale climate change impacts assessments: characterising the SRES storylines. Global Environmental Change, 14(1), 3-20. doi:10.1016/j.gloenvcha.2003.10.004
Gridded Population of the World (GPW) v2
Socioeconomic Downscaled Projections (Country-Level Population and Downscaled Projections Based on the SRES B2 Scenario, v1)

Bengtsson, M., Shen, Y., & Oki, T. (2006). A SRES-based gridded global population dataset for 1990–2100. Population and Environment, 28(2), 113-131. doi:10.1007/s11111-007-0035-8
Gridded Population of the World (GPW) v3 (population count)
Socioeconomic Downscaled Projections (Country-Level Population and Downscaled Projections Based on the SRES A1, B1, and A2 Scenarios, v1)
Socioeconomic Downscaled Projections (Country-Level Population and Downscaled Projections Based on the SRES B2 Scenario, v1)

Bland, L. M., Collen, B., Orme, C. D. L., & Bielby, J. (2015). Predicting the conservation status of data-deficient species. Conservation Biology, 29(1), 250-259. doi:10.1111/cobi.12372
Gridded Population of the World (GPW) v3 (population density future estimates)
Last of the Wild v2 (Human Footprint)
Socioeconomic Downscaled Projections (Country-Level Population and Downscaled Projections Based on the SRES B2 Scenario, v1)

Bodirsky, B. L., Popp, A., Weindl, I., Dietrich, J. P., Rolinski, S., Scheiffele, L., . . . Lotze-Campen, H. (2012). N2O emissions from the global agricultural nitrogen cycle – current state and future scenarios. Biogeosciences, 9(10), 4169-4197. doi:10.5194/bg-9-4169-2012
Socioeconomic Downscaled Projections (Country-Level Population and Downscaled Projections Based on the SRES B2 Scenario, v1)
Socioeconomic Downscaled Projections (Country-Level GDP and Downscaled Projections Based on the SRES A1, A2, B1, and B2 Marker Scenarios, v1)

Budimir, M. E. A., Atkinson, P. M., & Lewis, H. G. (2014). Earthquake-and-landslide events are associated with more fatalities than earthquakes alone. Natural Hazards, 72(2), 895-914. doi:10.1007/s11069-014-1044-4
Gridded Population of the World (GPW) v3 (population count)
Natural Disaster Hotspots (collection)
Socioeconomic Downscaled Projections (Global 15 x 15 Minute Grids of the Downscaled GDP Based on the SRES B2 Scenario, v1)
NASA REMOTE SENSING (SRTM)

Burke, S. M., Mulligan, M., Parks, K., & van Soesbergen, A. (2011). DR8a: Quantifying change in ecosystem services and exposure to hazards in the Mediterranean basin over the next 50 years that might be relevant to migration. Retrieved from London: http://webarchive.nationalarchives.gov.uk/20121212135622/http://www.bis.gov.uk/assets/foresight/docs/migration/drivers/11-1177-dr8a-ecosystem-services-and-hazards-in-mediterranean-basin.pdf
http://www.bis.gov.uk/foresight/migration
Global Rural-Urban Mapping Project (GRUMP) alpha (urban extent)
Poverty Mapping (Global Subnational Infant Mortality Rates, v1)
Socioeconomic Downscaled Projections (Country-Level Population and Downscaled Projections Based on the SRES B2 Scenario, v1)

Busch, G. (2006). Future European agricultural landscapes—What can we learn from existing quantitative land use scenario studies? Agriculture, Ecosystems & Environment, 114(1), 121-140. doi:10.1016/j.agee.2005.11.007
Socioeconomic Downscaled Projections (Country-Level GDP and Downscaled Projections Based on the SRES A1, A2, B1, and B2 Marker Scenarios, v1)

Chucholl, C. (2014). Predicting the risk of introduction and establishment of an exotic aquarium animal in Europe: insights from one decade of Marmorkrebs (Crustacea, Astacida, Cambaridae) releases. Management of Biological Invasions, 5(4), 309-318. doi:10.3391/mbi.2014.5.4.01
Gridded Population of the World (GPW) v3 (population density)
Socioeconomic Downscaled Projections (Country-Level GDP and Downscaled Projections Based on the SRES A1, A2, B1, and B2 Marker Scenarios, v1)

Dao, H., & van Woerden, J. (2009). Population data for climate change analysis. In J. M. Guzman, G. Martine, G. McGranahan, D. Schensul, & C. Tacoli (Eds.), Population Dynamics and Climate Change (pp. 218-238). New York: IIED/UNFPA.
Global Rural-Urban Mapping Project (GRUMP) v1 (settlement points)
Global Rural-Urban Mapping Project (GRUMP) v1 (urban extent)
Low Elevation Coastal Zone (LECZ) (Urban-Rural Population Estimates, v1)
Socioeconomic Downscaled Projections (collection)

Davies, R., Orme, C. D. L., Olson, V., Thomas, G., Ross, S., Ding, T., . . . Gaston, K. (2006). Human impacts and the global distribution of extinction risk. Proceedings of the Royal Society B: Biological Sciences, 273(1598), 2127-2133. doi:10.1098/rspb.2006.3551
Gridded Population of the World (GPW) v2 (population density)
Socioeconomic Downscaled Projections (Global 15 x 15 Minute Grids of the Downscaled GDP Based on the SRES B2 Scenario, v1)

de Vries, B. J. M., van Vuuren, D. P., & Hoogwijk, M. M. (2007). Renewable energy sources: Their global potential for the first-half of the 21st century at a global level: An integrated approach. Energy Policy, 35(4), 2590-2610. doi:10.1016/j.enpol.2006.09.002
Socioeconomic Downscaled Projections (collection)

Droogers, P., Immerzeel, W. W., Terink, W., Hoogeveen, J., Bierkens, M. F. P., van Beek, L. P. H., & Debele, B. (2012). Water resources trends in Middle East and North Africa towards 2050. Hydrology and Earth System Sciences, 16(9), 3101-3114. doi:10.5194/hess-16-3101-2012
Socioeconomic Downscaled Projections (Country-Level GDP and Downscaled Projections Based on the SRES A1, A2, B1, and B2 Marker Scenarios, v1)

Engström, K., Rounsevell, M. D. A., Murray-Rust, D., Hardacre, C., Alexander, P., Cui, X., . . . Arneth, A. (2016). Applying Occam's razor to global agricultural land use change. Environmental Modelling & Software, 75, 212-229. doi:10.1016/j.envsoft.2015.10.015
Intergovernmental Panel on Climate Change (IPCC) (Emissions Scenarios, v1.01)
Socioeconomic Downscaled Projections (Country-Level GDP and Downscaled Projections Based on the SRES A1, A2, B1, and B2 Marker Scenarios, v1)

Ercin, A. E., & Hoekstra, A. Y. (2014). Water footprint scenarios for 2050: A global analysis. Environment International, 64, 71-82. doi:10.1016/j.envint.2013.11.019
Socioeconomic Downscaled Projections (Country-Level GDP and Downscaled Projections Based on the SRES A1, A2, B1, and B2 Marker Scenarios, v1)

Feist, B. E., & Levin, P. S. (2016). Novel indicators of anthropogenic influence on marine and coastal ecosystems. Frontiers in Marine Science, 3(113), 13 pp. doi:10.3389/fmars.2016.00113
Socioeconomic Downscaled Projections (Global 15 x 15 Minute Grids of the Downscaled Population Based on the SRES B2 Scenario) - 10.7927/H4HQ3WTH

Gaffin, S. R., Rosenzweig, C., Xing, X., & Yetman, G. (2004). Downscaling and geo-spatial gridding of socio-economic projections from the IPCC Special Report on Emissions Scenarios (SRES). Global Environmental Change Part A, 14(2), 105-123. doi:10.1016/j.gloenvcha.2004.02.004
Gridded Population of the World (GPW) v2
Socioeconomic Downscaled Projections (collection)

Gosling, S. N., Lowe, J. A., McGregor, G., Pelling, M., & Malamud, B. (2009). Associations between elevated atmospheric temperature and human mortality: a critical review of the literature. Climatic Change, 92(3), 299-341. doi:10.1007/s10584-008-9441-x
Socioeconomic Downscaled Projections (Country-Level Population and Downscaled Projections Based on the SRES A1, B1, and A2 Scenarios, v1)
Socioeconomic Downscaled Projections (Country-Level Population and Downscaled Projections Based on the SRES B2 Scenario, v1)

Grübler, A., O'Neill, B., Riahi, K., Chirkov, V., Goujon, A., Kolp, P., . . . Slentoe, E. (2007). Regional, national, and spatially explicit scenarios of demographic and economic change based on SRES. Technological Forecasting and Social Change, 74(7), 980-1029. doi:10.1016/j.techfore.2006.05.023
Gridded Population of the World (GPW) v2
Socioeconomic Downscaled Projections (collection)
REMOTE SENSING (DMSP-OLS)

Güneralp, B., & Seto, K. C. (2013). Futures of global urban expansion: uncertainties and implications for biodiversity conservation. Environmental Research Letters, 8(1), 014025. doi:10.1088/1748-9326/8/1/014025
Global Rural-Urban Mapping Project (GRUMP) v1 (population density)
Socioeconomic Downscaled Projections (Country-Level GDP and Downscaled Projections Based on the SRES A1, A2, B1, and B2 Marker Scenarios, v1)

Hall, F. G., Brown de Colstoun, E., Collatz, G. J., Landis, D., Dirmeyer, P., Betts, A., . . . Meeson, B. (2006). ISLSCP Initiative II global data sets: Surface boundary conditions and atmospheric forcings for land-atmosphere studies. Journal of Geophysical Research, 111, D22S01. doi:10.1029/2006JD007366
Gridded Population of the World (GPW) v2
Socioeconomic Downscaled Projections (Global 15 x 15 Minute Grids of the Downscaled GDP Based on the SRES B2 Scenario, v1)

Hayashi, A., Akimoto, K., Sano, F., Mori, S., & Tomoda, T. (2010). Evaluation of global warming impacts for different levels of stabilization as a step toward determination of the long-term stabilization target. Climatic Change, 98(1), 87-112. doi:10.1007/s10584-009-9663-6
Gridded Population of the World (GPW) v2
Socioeconomic Downscaled Projections (Country-Level Population and Downscaled Projections Based on the SRES B2 Scenario, v1)

Hellegers, P., Immerzeel, W., & Droogers, P. (2013). Economic concepts to address future water supply-demand imbalances in Iran, Morocco and Saudi Arabia. Journal of Hydrology, 502, 62-67. doi:10.1016/j.jhydrol.2013.08.024
Socioeconomic Downscaled Projections (Country-Level GDP and Downscaled Projections Based on the SRES A1, A2, B1, and B2 Marker Scenarios, v1)

Huang, J., Yu, H., Guan, X., Wang, G., & Guo, R. (2015). Accelerated dryland expansion under climate change. Nature Climate Change, 6, 166-171. doi:10.1038/nclimate2837
Gridded Population of the World (GPW) v3 (population count)
Socioeconomic Downscaled Projections (Country-level Population and Downscaled Projections based on the SRES B2 scenario)

Hudson, P., Botzen, W. J. W., Feyen, L., & Aerts, J. C. J. H. (2016). Incentivising flood risk adaptation through risk based insurance premiums: Trade-offs between affordability and risk reduction. Ecological Economics, 125, 1-13. doi:10.1016/j.ecolecon.2016.01.015
Socioeconomic Downscaled Projections (Country-Level GDP and Downscaled Projections Based on the SRES A1, A2, B1, and B2 Marker Scenarios, v1)

Jacinto, R., Cruz, M. J., & Santos, F. D. (2013). Development of water use scenarios as a tool for adaptation to climate change. Drinking Water Engineering and Science, 6(1), 61-68. doi:10.5194/dwes-6-61-2013
Socioeconomic Downscaled Projections (collection)

Kapur, A. (2006). The future of the red metal—A developing country perspective from India. Resources, Conservation and Recycling, 47(2), 160-182. doi:10.1016/j.resconrec.2005.10.007
Socioeconomic Downscaled Projections (Country-Level Population and Downscaled Projections Based on the SRES A1, B1, and A2 Scenarios, v1)
Socioeconomic Downscaled Projections (Country-Level Population and Downscaled Projections Based on the SRES B2 Scenario, v1)

Kawase, R., & Matsuoka, Y. (2013). Reduction targets under three burden-sharing schemes for 50% global GHG reduction toward 2050. Energy Policy, 63, 1126-1138. doi:10.1016/j.enpol.2013.09.036
Socioeconomic Downscaled Projections (Country-Level Population and Downscaled Projections Based on the SRES B2 Scenario, v1)

Kiguchi, M., Shen, Y., Kanae, S., & Oki, T. (2014). Re-evaluation of future water stress due to socio-economic and climate factors under a warming climate. Hydrological Sciences Journal, 60(1), 14-29. doi:10.1080/02626667.2014.888067
Socioeconomic Downscaled Projections (Country-Level Population and Downscaled Projections Based on the SRES A1, B1, and A2 Scenarios, v1)
Socioeconomic Downscaled Projections (Country-Level Population and Downscaled Projections Based on the SRES B2 Scenario, v1)

Kii, M., Nakanishi, H., Nakamura, K., & Doi, K. (2016). Transportation and spatial development: An overview and a future direction. Transport Policy, 49, 148-158. doi:10.1016/j.tranpol.2016.04.015
Gridded Population of the World (GPW) v3 (collection)
Global Rural-Urban Mapping Project (GRUMP) v1 (collection)
Socioeconomic Downscaled Projections (collection)

Kloster, S., Mahowald, N. M., Randerson, J. T., & Lawrence, P. J. (2012). The impacts of climate, land use, and demography on fires during the 21st century simulated by CLM-CN. Biogeosciences, 9(1), 509-525. doi:10.5194/bg-9-509-2012
Socioeconomic Downscaled Projections (Country-Level Population and Downscaled Projections Based on the SRES A1, B1, and A2 Scenarios, v1)

Lebreton, L., Egger, M., & Slat, B. (2019). A global mass budget for positively buoyant macroplastic debris in the ocean. Scientific Reports, 9(1), 12922. doi:10.1038/s41598-019-49413-5
Socioeconomic Downscaled Projections (Global 15 x 15 Minute Grids of the Downscaled Population Based on the SRES B2 Scenario) - 10.7927/H4HQ3WTH

Lebreton, L. C. M., van der Zwet, J., Damsteeg, J.-W., Slat, B., Andrady, A., & Reisser, J. (2017). River plastic emissions to the world’s oceans. Nature Communications, 8(1), 15611. doi:10.1038/ncomms15611
Socioeconomic Downscaled Projections (Global 15 x 15 Minute Grids of the Downscaled Population Based on the SRES B2 Scenario) - 10.7927/H4HQ3WTH

Leprieur, F., Beauchard, O., Blanchet, S., Oberdorff, T., & Brosse, S. (2008). Fish invasions in the world's river systems: When natural processes are blurred by human activities. PLoS Biology, 6(2), e28. doi:10.1371/journal.pbio.0060028
Socioeconomic Downscaled Projections (collection)

Lungarska, A., & Chakir, R. (2018). Climate-induced land use change in France: Impacts of agricultural adaptation and climate change mitigation. Ecological Economics, 147, 134-154. doi:10.1016/j.ecolecon.2017.12.030
Socioeconomic Downscaled Projections (Country-Level Population and Downscaled Projections Based on the SRES A1, B1, and A2 Scenarios, v1)

McCartney, M., Rebelo, L.-M., Xenarios, S., & Smakhtin, V. (2013). IWMI Research Report 152: Agricultural Water Storage in an Era of Climate change:  Assessing Need and Effectiveness in Africa. Retrieved from Colombo, Sri Lanka: https://doi.org/10.5337/2013.207
Socioeconomic Downscaled Projections (Country-Level Population and Downscaled Projections Based on the SRES B2 Scenario, v1)

McDonald, R. I., & Boucher, T. M. (2011). Global development and the future of the protected area strategy. Biological Conservation, 144(1), 383-392. doi:10.1016/j.biocon.2010.09.016
Socioeconomic Downscaled Projections (Country-Level GDP and Downscaled Projections Based on the SRES A1, A2, B1, and B2 Marker Scenarios, v1)

Moiseyev, A., Solberg, B., Kallio, A. M. I., & Lindner, M. (2011). An economic analysis of the potential contribution of forest biomass to the EU RES target and its implications for the EU forest industries. Journal of Forest Economics, 17(2), 197-213. doi:10.1016/j.jfe.2011.02.010
Socioeconomic Downscaled Projections (Country-Level GDP and Downscaled Projections Based on the SRES A1, A2, B1, and B2 Marker Scenarios, v1)

Mulligan, M. (2021). Mapping Hydrological Ecosystem Services and Impacts of Scenarios for Deforestation and Conservation of Lowland, Montane and Cloud-Affected Forests. In R. W. Myster (Ed.), The Andean Cloud Forest (pp. 189-218). Cham: Springer International Publishing.
Socioeconomic Downscaled Projections (Country-Level GDP and Downscaled Projections Based on the SRES A1, A2, B1, and B2 Marker Scenarios, v1)

Mulligan, M., Burke, S., & Douglas, C. (2014). Environmental Change and Migration Between Europe and Its Neighbours. In E. Piguet & F. Laczko (Eds.), People on the Move in a Changing Climate (Vol. 2, pp. 49-79): Springer Netherlands.
Global Rural-Urban Mapping Project (GRUMP) alpha (urban extent)
Socioeconomic Downscaled Projections (Country-Level Population and Downscaled Projections Based on the SRES B2 Scenario, v1)

Nicholls, R. J. (2004). Coastal flooding and wetland loss in the 21st century: changes under the SRES climate and socio-economic scenarios. Global Environmental Change, 14(1), 69-86. doi:10.1016/j.gloenvcha.2003.10.007
Socioeconomic Downscaled Projections (Country-Level GDP and Downscaled Projections Based on the SRES A1, A2, B1, and B2 Marker Scenarios, v1)
Socioeconomic Downscaled Projections (Country-Level Population and Downscaled Projections Based on the SRES A1, B1, and A2 Scenarios, v1)
Socioeconomic Downscaled Projections (Country-Level Population and Downscaled Projections Based on the SRES B2 Scenario, v1)

Nicholls, R. J., Hanson, S. E., Lowe, J. A., Warrick, R. A., Lu, X., & Long, A. J. (2014). Sea-level scenarios for evaluating coastal impacts. Wiley Interdisciplinary Reviews: Climate Change, 5(1), 129-150. doi:10.1002/wcc.253
Socioeconomic Downscaled Projections (collection)

Nicholls, R. J., & Tol, R. S. J. (2006). Impacts and responses to sea-level rise: a global analysis of the SRES scenarios over the twenty-first century. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 364(1841), 1073-1095. doi:10.1098/rsta.2006.1754
Socioeconomic Downscaled Projections (collection)

Nichols, G., Andersson, Y., Lindgren, E., Devaux, I., & Semenza, J. (2014). European monitoring systems and data for assessing environmental and climate impacts on human infectious diseases. International Journal of Environmental Research and Public Health, 11(4), 3894-3936. doi:10.3390/ijerph110403894
Gridded Population of the World (GPW) v3 (collection)
Global Roads (Global Roads Open Access Data Set (gROADS), v1)
Global Rural-Urban Mapping Project (GRUMP) v1 (collection)
Last of the Wild v2 (Global Human Footprint (Geographic))
Socioeconomic Downscaled Projections (collection)
NASA REMOTE SENSING (ASTER)
NASA REMOTE SENSING (ASTER GDEM)
NASA REMOTE SENSING (MODIS)
NASA REMOTE SENSING (SRTM)
NASA REMOTE SENSING (OceanColor Web)
GCMD

Oda, J., Akimoto, K., Sano, F., & Tomoda, T. (2007). Diffusion of energy efficient technologies and CO2 emission reductions in iron and steel sector. Energy Economics, 29(4), 868-888. doi:10.1016/j.eneco.2007.01.003 
Socioeconomic Downscaled Projections (Country-Level Population and Downscaled Projections Based on the SRES B2 Scenario, v1)
Socioeconomic Downscaled Projections (Country-Level GDP and Downscaled Projections Based on the SRES A1, A2, B1, and B2 Marker Scenarios, v1)

Paci, D. (2014). Human Health Impacts of Climate Change in Europe: Report for the PESETA II Project. Retrieved from Luxembourg: https://doi.org/10.2791/64481
Socioeconomic Downscaled Projections (collection)
Intergovernmental Panel on Climate Change (IPCC) (Emissions Scenarios, v1.01)

Padullés Cubino, J., Vila Subirós, J., & Barriocanal Lozano, C. (2014). Examining floristic boundaries between garden types at the global scale. Investigaciones Geográficas, 61, 71-86. doi:10.14198/INGEO2014.61.05
Gridded Population of the World (GPW) v3 (population density)
Socioeconomic Downscaled Projections (Country-Level GDP and Downscaled Projections Based on the SRES A1, A2, B1, and B2 Marker Scenarios, v1)

Palmero-Iniesta, M., Pino, J., Pesquer, L., & Espelta, J. M. (2021). Recent forest area increase in Europe: expanding and regenerating forests differ in their regional patterns, drivers and productivity trends. European Journal of Forest Research, 140, 793-805. doi:10.1007/s10342-021-01366-z
Global Roads (Global Roads Open Access Data Set (gROADS), v1) - 10.7927/H4VD6WCT
Population Dynamics (Global Population Density Grid Time Series Estimates, v1) - 10.7927/H47M05W2
Socioeconomic Downscaled Projections (Global 15 x 15 Minute Grids of the Downscaled GDP Based on the SRES B2 Scenario, v1) - 10.7927/H4NC5Z4X
NASA REMOTE SENSING (MODIS)

Parish, E. S., Kodra, E., Steinhaeuser, K., & Ganguly, A. R. (2012). Estimating future global per capita water availability based on changes in climate and population. Computers & Geosciences, 42, 79-86. doi:10.1016/j.cageo.2012.01.019
Gridded Population of the World (GPW) v2
Socioeconomic Downscaled Projections (Country-Level Population and Downscaled Projections Based on the SRES A1, B1, and A2 Scenarios, v1)

Parry, M. L. (2002). Scenarios for climate impact and adaptation assessment. Global Environmental Change, 12(3), 149-153. doi:10.1016/S0959-3780(02)00038-9
Socioeconomic Downscaled Projections (collection)

Perry, C. (2013). Machine learning and conflict prediction: A use case. Stability: International Journal of Security and Development, 2(3), 56. doi:10.5334/sta.cr
Global Agricultural Lands (Cropland)
Global Agricultural Lands (Pasture)
Gridded Population of the World (GPW) v3 (population count future estimates)
Global Rural-Urban Mapping Project (GRUMP) v1 (National Administrative Boundaries)
Natural Disaster Hotspots (multihazard frequency and distribution)
Poverty Mapping (Global Subnational Infant Mortality Rates, v1)
Poverty Mapping (Global Subnational Prevalence of Child Malnutrition, v1)
Socioeconomic Downscaled Projections (Global 15 x 15 Minute Grids of the Downscaled GDP Based on the SRES B2 Scenario, v1)

Perveen, S., & James, L. (2010). Multiscale effects on spatial variability metrics in global water resources data. Water Resources Management, 24(9), 1903-1924. doi:10.1007/s11269-009-9530-2
Socioeconomic Downscaled Projections (Country-Level GDP and Downscaled Projections Based on the SRES A1, A2, B1, and B2 Marker Scenarios, v1)

Prins, A. G., Pouwels, R., Clement, J., Hendriks, M., de Knegt, B., Petz, K., . . . van Tol, S. (2017). Perspectives on the Future of Nature in Europe: Impacts and Combinations. Retrieved from The Hague: http://www.pbl.nl/en/publications/perspectives-on-the-future-of-nature-in-europe-impacts-and-combinations-0
Socioeconomic Downscaled Projections (Country-Level Population and Downscaled Projections Based on the SRES A1, B1, and A2 Scenarios, v1)

Ranjan, P., Kazama, S., & Sawamoto, M. (2006). Effects of climate change on coastal fresh groundwater resources. Global Environmental Change, 16(4), 388-399. doi:10.1016/j.gloenvcha.2006.03.006
Gridded Population of the World (GPW) v2
Socioeconomic Downscaled Projections (Country-Level Population and Downscaled Projections Based on the SRES A1, B1, and A2 Scenarios, v1)
Socioeconomic Downscaled Projections (Country-Level Population and Downscaled Projections Based on the SRES B2 Scenario, v1)

Rojas, R., Feyen, L., & Watkiss, P. (2013). Climate change and river floods in the European Union: Socio-economic consequences and the costs and benefits of adaptation. Global Environmental Change, 23(6), 1737-1751. doi:10.1016/j.gloenvcha.2013.08.006
Socioeconomic Downscaled Projections (Country-Level GDP and Downscaled Projections Based on the SRES A1, A2, B1, and B2 Marker Scenarios, v1)
Socioeconomic Downscaled Projections (Country-Level Population and Downscaled Projections Based on the SRES A1, B1, and A2 Scenarios, v1)

Sakschewski, B., von Bloh, W., Huber, V., Müller, C., & Bondeau, A. (2014). Feeding 10 billion people under climate change: How large is the production gap of current agricultural systems? Ecological Modelling, 288, 103-111. doi:10.1016/j.ecolmodel.2014.05.019
Socioeconomic Downscaled Projections (Country-Level GDP and Downscaled Projections Based on the SRES A1, A2, B1, and B2 Marker Scenarios, v1)

Schaub, M. (2014). Solidarity With a Sharp Edge:  Communal Conflict and Local Collective Action in Rural Nigeria. Retrieved from Sussex, UK: http://www.hicn.org/wordpress/wp-content/uploads/2012/06/HiCN-WP-183.pdf
Socioeconomic Downscaled Projections (Country-Level GDP and Downscaled Projections Based on the SRES A1, A2, B1, and B2 Marker Scenarios, v1)

Seto, K. C., Fragkias, M., Güneralp, B., & Reilly, M. K. (2011). A meta-analysis of global urban land expansion. PLoS ONE, 6(8), e23777. doi:10.1371/journal.pone.0023777
Global Rural-Urban Mapping Project (GRUMP) v1 (urban extent)
Low Elevation Coastal Zone (LECZ) (Urban-Rural Population Estimates, v1)
Socioeconomic Downscaled Projections (Country-Level Population and Downscaled Projections Based on the SRES B2 Scenario, v1)
NASA REMOTE SENSING (MODIS)
REMOTE SENSING (SPOT GLC2000)

Smith, M. S., Bastin, G., & Chewings, V. (2011). DR6: Environmental and non-environmental drivers of migration from global drylands. Retrieved from London: http://webarchive.nationalarchives.gov.uk/20121212135622/http://www.bis.gov.uk/assets/foresight/docs/migration/drivers/11-1174-dr6-environmental-and-non-drivers-migration-from-drylands.pdf
http://www.bis.gov.uk/foresight/migration
Gridded Population of the World (GPW) v3 (population count)
Gridded Population of the World (GPW) v3 (population density)
Socioeconomic Downscaled Projections (Country-Level GDP and Downscaled Projections Based on the SRES A1, A2, B1, and B2 Marker Scenarios, v1)

Sun, L., Ward, M. P., Li, R., Xia, C., Lynn, H., Hu, Y., . . . Zhang, Z. (2018). Global spatial risk pattern of highly pathogenic avian influenza H5N1 virus in wild birds: a knowledge-fusion based approach. Preventive Veterinary Medicine, 152, 32-39. doi:10.1016/j.prevetmed.2018.02.008
Socioeconomic Downscaled Projections (unspecified)

Tang, L., Ii, R., Tokimatsu, K., & Itsubo, N. (2018). Development of human health damage factors related to CO2 emissions by considering future socioeconomic scenarios. The International Journal of Life Cycle Assessment, 23(12), 2288-2299. doi:10.1007/s11367-015-0965-9
Socioeconomic Downscaled Projections (Country-Level GDP and Downscaled Projections Based on the SRES A1, A2, B1, and B2 Marker Scenarios, v1)

Thomas, T. S., You, L., Wood-Sichra, U., Ru, Y., Blankenspoor, B., & Kalvelagen, E. (2019). Generating Gridded Agricultural Gross Domestic Product for Brazil: A Comparison of Methodologies. Retrieved from Washington DC: http://documents.worldbank.org/curated/en/677071566217273585/Generating-Gridded-Agricultural-Gross-Domestic-Product-for-Brazil-A-Comparison-of-Methodologies
Gridded Population of the World (GPW) v4.10 (population count UN WPP-adjusted) - 10.7927/H4JQ0XZW
Socioeconomic Downscaled Projections (Global 15 x 15 Minute Grids of the Downscaled GDP Based on the SRES B2 Scenario, v1) - 10.7927/H4NC5Z4X

van Beers, D., Kapur, A., & Graedel, T. E. (2007). Copper and zinc recycling in Australia: potential quantities and policy options. Journal of Cleaner Production, 15(8-9), 862-877. doi:10.1016/j.jclepro.2006.06.023
Socioeconomic Downscaled Projections (Country-Level GDP and Downscaled Projections Based on the SRES A1, A2, B1, and B2 Marker Scenarios, v1)
Socioeconomic Downscaled Projections (Country-Level Population and Downscaled Projections Based on the SRES B2 Scenario, v1)

van Lieshout, M., Kovats, R. S., Livermore, M. T. J., & Martens, P. (2004). Climate change and malaria: analysis of the SRES climate and socio-economic scenarios. Global Environmental Change, 14(1), 87-99. doi:10.1016/j.gloenvcha.2003.10.009
Gridded Population of the World (GPW) v2
Socioeconomic Downscaled Projections (Country-Level Population and Downscaled Projections Based on the SRES A1, B1, and A2 Scenarios, v1)
Socioeconomic Downscaled Projections (Country-Level Population and Downscaled Projections Based on the SRES B2 Scenario, v1)

van Vuuren, D. P., Lucas, P. L., & Hilderink, H. (2007). Downscaling drivers of global environmental change: Enabling use of global SRES scenarios at the national and grid levels. Global Environmental Change, 17(1), 114-130. doi:10.1016/j.gloenvcha.2006.04.004
Gridded Population of the World (GPW) v2
Socioeconomic Downscaled Projections (collection)

Webster, P. J., & Jian, J. (2011). Environmental prediction, risk assessment and extreme events: adaptation strategies for the developing world. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 369(1956), 4768-4797. doi:10.1098/rsta.2011.0160
Socioeconomic Downscaled Projections (Country-Level Population and Downscaled Projections Based on the SRES A1, B1, and A2 Scenarios, v1)

Yue, T. X., Wang, Y. A., Liu, J. Y., Chen, S. P., Tian, Y. Z., & Su, B. P. (2005). SMPD scenarios of spatial distribution of human population in China. Population and Environment, 26(3), 207-228. doi:10.1007/s11111-005-1875-8

Socioeconomic Downscaled Projections (Country-Level Population and Downscaled Projections Based on the SRES A1, B1, and A2 Scenarios, v1)

Zhu, D., Tao, S., Wang, R., Shen, H., Huang, Y., Shen, G., . . . Liu, W. (2013). Temporal and spatial trends of residential energy consumption and air pollutant emissions in China. Applied Energy, 106, 17-24. doi:10.1016/j.apenergy.2013.01.040
Socioeconomic Downscaled Projections (Country-Level GDP and Downscaled Projections Based on the SRES A1, A2, B1, and B2 Marker Scenarios, v1)