Listed below are known citations to the NASA Socioeconomic Data and Applications Center (SEDAC) U.S. Census Grids 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.

Adams, M. D. O., & Charnley, S. (2018). Environmental justice and U.S. Forest Service hazardous fuels reduction: A spatial method for impact assessment of federal resource management actions. Applied Geography, 90, 257-271. doi:10.1016/j.apgeog.2017.12.014
U.S. Census Grids (Summary File 3, v1 (2000)) - 10.7927/H42R3PMN

Alberti, M., & Wang, T. (2022). Detecting patterns of vertebrate biodiversity across the multidimensional urban landscape. Ecology Letters, 25(4), 1027-1045. doi:10.1111/ele.13969
Satellite-Derived Environmental Indicators (Global Summer Land Surface Temperature (LST) Grids, v1)
U.S. Census Grids (Summary File 1, v1 (2010))

Ashley, W. S., Strader, S., Rosencrants, T. D., & Krmenec, A. J. (2014). Spatiotemporal changes in tornado hazard exposure: The case of the expanding bull’s eye effect in Chicago, IL. Weather, Climate, and Society, 6(2), 175-193. doi:10.1175/wcas-d-13-00047.1
Gridded Population of the World (GPW) v2
Gridded Population of the World (GPW) v3 (collection)
U.S. Census Grids (Summary File 1, v1 (2000))

Baasch, D. M., Caven, A. J., Jorgensen, J. G., Grosse, R., Rabbe, M., Varner, D. M., & LaGrange, T. (2022). Whooping Crane (Grus americana) use patterns in relation to an ecotope classification in the Central Platte River Valley, Nebraska, USA. Avian Conservation and Ecology, 17(2). doi:10.5751/ACE-02311-170235
U.S. Census Grids (Summary File 3, v1 (2000)) - 10.7927/H42R3PMN

Beitler, J. (2006). Data more powerful than hurricanes. Sensing Our Planet: NASA Earth Science Research Features. Retrieved from https://earthdata.nasa.gov/featured-stories/featured-research/data-more-powerful-hurricanes
U.S. Census Grids (collection)
NASA REMOTE SENSING (RADARSAT-1)

Braha, D., Stacey, B., & Bar-Yam, Y. (2011). Corporate competition: A self-organized network. Social Networks, 33(3), 219-230. doi:10.1016/j.socnet.2011.05.004
U.S. Census Grids (Summary File 1, v1 (2000))

Budimir, M. E. A., Atkinson, P. M., & Lewis, H. G. (2015). Seismically induced landslide hazard and exposure modelling in Southern California based on the 1994 Northridge, California earthquake event. Landslides, 12(5), 895-910. doi:10.1007/s10346-014-0531-8
Archive of Census Related Products (ACRP) (Tiger)
U.S. Census Grids (Summary File 3, v1 (1990))
U.S. Census Grids (Summary File 3: Metropolitan Statistical Areas, v1 (2000))

Chen, S. E., & Florax, R. J. G. M. (2010). Zoning for health: The obesity epidemic and opportunities for local policy intervention. Journal of Nutrition, 140(6), 1181S-1184. doi:10.3945/jn.109.111336
U.S. Census Grids (Summary File 1, v1 (2000))

Collenteur, R. A., de Moel, H., Jongman, B., & Di Baldassarre, G. (2015). The failed-levee effect: Do societies learn from flood disasters? Natural Hazards, 76(1), 373-388. doi:10.1007/s11069-014-1496-6
U.S. Census Grids (collection)
REMOTE SENSING (Landsat)

Colunga-Garcia, M., Haack, R. A., Magarey, R. A., & Margosian, M. L. (2010). Modeling spatial establishment patterns of exotic forest insects in urban areas in relation to tree cover and propagule pressure. Journal of Economic Entomology, 103(1), 108-118. doi:10.1603/ec09203
U.S. Census Grids (collection)

Corrêa d’Almeida, A., & Hultin, J. M. (2014). Using Technology for Development in NYC.  Retrieved from http://blogs.ei.columbia.edu/2014/02/27/using-technology-for-development-in-nyc/
U.S. Census Grids (Summary File 3: Metropolitan Statistical Areas, v1 (2000))

DeRousseau, M. A. (2020). Concrete Mixture Design Using Machine Learning, Life Cycle Assessment, and Multi-Objective Optimization. (Ph.D. Ph.D.). University of Colorado Boulder, Retrieved from http://ezproxy.cul.columbia.edu/login?url=https://www.proquest.com/docview/2441568304?accountid=10226 
U.S. Census Grids (Summary File 1, v1 (2010)) - 10.7927/H40Z716C

DeRousseau, M. A., Arehart, J. H., Kasprzyk, J. R., & Srubar, W. V. (2020). Statistical variation in the embodied carbon of concrete mixtures. Journal of Cleaner Production, 275, 123088. doi:10.1016/j.jclepro.2020.123088
U.S. Census Grids (Summary File 1, v1 (2010)) - 10.7927/H40Z716C

Dmowska, A., & Stepinski, T. F. (2014). High resolution dasymetric model of U.S demographics with application to spatial distribution of racial diversity. Applied Geography, 53, 417-426. doi:10.1016/j.apgeog.2014.07.003
U.S. Census Grids (Summary File 1, v1 (1990))
U.S. Census Grids (Summary File 1, v1 (2000))
REMOTE SENSING (Google Maps)

Dmowska, A., & Stepinski, T. F. (2016). Mapping changes in spatial patterns of racial diversity across the entire United States with application to a 1990–2000 period. Applied Geography, 68, 1-8. doi:10.1016/j.apgeog.2016.01.003
U.S. Census Grids (Summary File 1, v1 (1990))
U.S. Census Grids (Summary File 1, v1 (2000))

Dmowska, A., & Stepinski, T. F. (2017). A high resolution population grid for the conterminous United States: The 2010 edition. Computers, Environment and Urban Systems, 61, Part A, 13-23. doi:10.1016/j.compenvurbsys.2016.08.006
U.S. Census Grids (Summary File 1, v1 (1990))
U.S. Census Grids (Summary File 1, v1 (2000))

Dmowska, A., Stepinski, T. F., & Netzel, P. (2017). Comprehensive framework for visualizing and analyzing spatio-temporal dynamics of racial diversity in the entire United States. PLoS ONE, 12(3), e0174993. doi:10.1371/journal.pone.0174993
U.S. Census Grids (collection)

Dutko, P., Ver Ploeg, M., & Farrigan, T. (2012). Characteristics and influential factors of food deserts. Retrieved from http://www.caction.org/CAN-Research/Reports/2012/err140.pdf
U.S. Census Grids (collection)

Gils, H. C., Cofala, J., Wagner, F., & Schöpp, W. (2013). GIS-based assessment of the district heating potential in the USA. Energy, 58, 318-329. doi:10.1016/j.energy.2013.06.028
U.S. Census Grids (Summary File 3: Metropolitan Statistical Areas, v1 (2000))

Goel, A., McConnell, L. L., Torrents, A., Kuang, Z., Hapeman, C. J., Meritt, D. W., . . . Scarborough, R. (2010). Environmental factors affecting the levels of legacy pesticides in the airshed of Delaware and Chesapeake Bays, USA. Environmental Toxicology and Chemistry, 29(9), 1893-1906. doi:10.1002/etc.243
U.S. Census Grids (Summary File 1, v1 (2000))

Good, S. P., Kennedy, C. D., Stalker, J. C., Chesson, L. A., Valenzuela, L. O., Beasley, M. M., . . . Bowen, G. J. (2014). Patterns of local and nonlocal water resource use across the western U.S. determined via stable isotope intercomparisons. Water Resources Research, 50(10), 8034-8049. doi:10.1002/2014WR015884
U.S. Census Grids (Summary File 3, v1 (2000))

Hatzis, J. J., & Klockow-McClain, K. E. (2022). A spatiotemporal perspective on the 31 May 2013 tornado evacuation in the Oklahoma City Metropolitan Area. Weather, Climate, and Society, 14(3), 721-735. doi:10.1175/wcas-d-21-0106.1
U.S. Census Grids (Summary File 1, v1 (2010))

Hatzis, J. J., Koch, J., & Brooks, H. E. (2020). A tornado daily impacts simulator for the central and southern United States. Meteorological Applications, 27(1), e1882. doi:10.1002/met.1882
U.S. Census Grids (Summary File 1, v1 (2010))

Hinsdale, J. (2022). Data Dive: Carolynne Hultquist on Spatial Data, Social Vulnerability and Disasters.  Retrieved from https://news.climate.columbia.edu/2022/02/10/data-dive-spatial-data-social-vulnerability-disasters/
U.S. Census Grids (U.S. Social Vulnerability Index Grids, v1)

Hulley, G., Shivers, S., Wetherley, E., & Cudd, R. (2019). New ECOSTRESS and MODIS land surface temperature data reveal fine-scale heat vulnerability in cities: A case study for Los Angeles County, California. Remote Sensing, 11(18), 2136. doi:10.3390/rs11182136
U.S. Census Grids (Summary File 3: Metropolitan Statistical Areas, v1 (2000)) - 10.7927/H4Z31WJ0
NASA REMOTE SENSING (ECOSTRESS LST)
NASA REMOTE SENSING (MODIS)
REMOTE SENSING (Landsat)

Imhoff, M. L., Zhang, P., Wolfe, R. E., & Bounoua, L. (2010). Remote sensing of the urban heat island effect across biomes in the continental USA. Remote Sensing of Environment, 114(3), 504-513. doi:10.1016/j.rse.2009.10.008
U.S. Census Grids (collection)
NASA REMOTE SENSING (MODIS)
REMOTE SENSING (Landsat)

Johnston, J., Cassalho, F., Miesse, T., & Ferreira, C. M. (2021). Projecting the effects of land subsidence and sea level rise on storm surge flooding in Coastal North Carolina. Scientific Reports, 11(1), 21679. doi:10.1038/s41598-021-01096-7
U.S. Census Grids (Summary File 1, v1 (2010)) - 10.7927/H40Z716C

Ju, Y., Lindbergh, S., He, Y., & Radke, J. D. (2019). Climate-related uncertainties in urban exposure to sea level rise and storm surge flooding: a multi-temporal and multi-scenario analysis. Cities, 92, 230-246. doi:10.1016/j.cities.2019.04.002
U.S. Census Grids (unspecified)

Karlsson, J. (2021). Temperature and exports: Evidence from the United States. Environmental and Resource Economics, 80, 311-337. doi:10.1007/s10640-021-00587-5
U.S. Census Grids (Summary File 1, v1 (2010)) - 10.7927/H40Z716C

Kelly, J. T., Jang, C., Timin, B., Di, Q., Schwartz, J., Liu, Y., . . . Bell, M. L. (2021). Examining PM2.5 concentrations and exposure using multiple models. Environmental Research, 196, 110432. doi:10.1016/j.envres.2020.110432
U.S. Census Grids (Summary File 1, v1 (2010)) - 10.7927/H40Z716C

Lambert, R. C., Kolivras, K. N., Resler, L. M., Brewster, C. C., & Paulson, S. L. (2008). The potential for emergence of Chagas disease in the United States. Geospatial Health, 2(2), 227-239. doi:10.4081/gh.2008.246
U.S. Census Grids (Summary File 1, v1 (2000))
REMOTE SENSING (DMSP-OLS)

Leasure, D. R., & Hoback, W. W. (2017). Distribution and habitat of endangered American burying beetle in northern and southern regions. Journal of Insect Conservation, 21(1), 75-86. doi:10.1007/s10841-017-9955-5
U.S. Census Grids (Summary File 1, v1 (2000)) - 10.7927/H4B85623
REMOTE SENSING (DMSP-OLS)

Letson, F. W., Barthelmie, R. J., Hodges, K. I., & Pryor, S. C. (2021). Windstorms in the Northeastern United States. Natural Hazards and Earth System Sciences, 21, 2001-2020. doi:10.5194/nhess-21-2001-2021
U.S. Census Grids (Summary File 1, v1 (2010))

Luo, W., & Qi, Y. (2009). An enhanced two-step floating catchment area (E2SFCA) method for measuring spatial accessibility to primary care physicians. Health & Place, 15(4), 1100-1107. doi:10.1016/j.healthplace.2009.06.002
U.S. Census Grids (Summary File 1, v1 (2000))

Ma, X., Battersby, S. E., Bell, B. A., Hibbert, J. D., Barnes, T. L., & Liese, A. D. (2013). Variation in low food access areas due to data source inaccuracies. Applied Geography, 45, 131-137. doi:10.1016/j.apgeog.2013.08.014
U.S. Census Grids (Summary File 3, v1 (2000))

Marlon, J. R., Wang, X., Mildenberger, M., Bergquist, P., Swain, S., Hayhoe, K., . . . Leiserowitz, A. (2021). Hot dry days increase perceived experience with global warming. Global Environmental Change, 68, 102247. Retrieved from https://doi.org/10.1016/j.gloenvcha.2021.102247
U.S. Census Grids (Summary File 1, v1 (2010)) - 10.7927/H40Z716C

Myer, M. H., & Johnston, J. M. (2019). Spatiotemporal Bayesian modeling of West Nile virus: Identifying risk of infection in mosquitoes with local-scale predictors. Science of The Total Environment, 650, 2818-2829. doi:10.1016/j.scitotenv.2018.09.397
U.S. Census Grids (Summary File 3: Metropolitan Statistical Areas, v1 (2000))
NASA REMOTE SENSING (MODIS NDVI)

Nelson, E. J., Withey, J. C., Pennington, D., & Lawler, J. J. (2014). Identifying the Opportunity Cost of Critical Habitat Designation under the U.S. Endangered Species Act. Retrieved from http://digitalcommons.bowdoin.edu/econpapers/11
U.S. Census Grids (Summary File 1, v1 (2000)) - 10.7927/H4B85623

Nelson, E. J., Withey, J. C., Pennington, D., & Lawler, J. J. (2015). Identifying the Impacts of Critical Habitat Designation on Land Cover Change. Retrieved from Washington DC: http://www.rff.org/Publications/Pages/PublicationDetails.aspx?PublicationID=22571
U.S. Census Grids (Summary File 1, v1 (1990)) - 10.7927/H4TB14TN
U.S. Census Grids (Summary File 1, v1 (2000)) - 10.7927/H4B85623

Nelson, E. J., Withey, J. C., Pennington, D., & Lawler, J. J. (2017). Identifying the impacts of critical habitat designation on land cover change. Resource and Energy Economics, 47, 89-125. doi:10.1016/j.reseneeco.2016.12.002
U.S. Census Grids (Summary File 1, v1 (1990))
U.S. Census Grids (Summary File 1, v1 (2000))

Nghiem, S. V., Balk, D., Rodriguez, E., Neumann, G., Sorichetta, A., Small, C., & Elvidge, C. D. (2009). Observations of urban and suburban environments with global satellite scatterometer data. ISPRS Journal of Photogrammetry and Remote Sensing, 64(4), 367-380. doi:10.1016/j.isprsjprs.2009.01.004
Gridded Population of the World (GPW) v3 (collection)
Global Rural-Urban Mapping Project (GRUMP) v1 (urban extent)
U.S. Census Grids (unspecified)
NASA REMOTE SENSING (QuikSCAT)
REMOTE SENSING (DMSP-OLS)
REMOTE SENSING (Landsat ETM+)

Niemuth, N. D., Ryba, A. J., Pearse, A. T., Kvas, S. M., Brandt, D. A., Wangler, B., . . . Carlisle, M. J. (2018). Opportunistically collected data reveal habitat selection by migrating Whooping Cranes in the U.S. Northern Plains. The Condor, 120(2), 343-356. doi:10.1650/CONDOR-17-80.1
U.S. Census Grids (Summary File 3, v1 (2000)) - 10.7927/H42R3PMN

O’Neill, S., Diao, M., Raffuse, S., Al-Hamdan, M., Barik, M., Jia, Y., . . . Loesche, P. (2021). A multi-analysis approach for estimating regional health impacts from the 2017 Northern California wildfires. Journal of the Air & Waste Management Association, 71(7), 791-814. doi:10.1080/10962247.2021.1891994
U.S. Census Grids (Summary File 1, v1 (2010))
NASA REMOTE SENSING (MODIS)
REMOTE SENSING (VIIRS)

Obenauer, J. F., Joyner, T. A., & Harris, J. B. (2017). The importance of human population characteristics in modeling Aedes aegypti distributions and assessing risk of mosquito-borne infectious diseases. Tropical Medicine and Health, 45(1), 9pp. doi:10.1186/s41182-017-0078-1
Gridded Population of the World (GPW) v3 (population density) - 10.7927/H4XK8CG2
U.S. Census Grids (Summary File 3, v1 (2000)) - 10.7927/H42R3PMN

Parsons, L. A., Lo, F., Ward, A., Shindell, D., & Raman, S. R. (2023). Higher temperatures in socially vulnerable US communities increasingly limit safe use of electric fans for cooling. GeoHealth, 7(8), e2023GH000809. doi:10.1029/2023gh000809
Gridded Population of the World (GPW) v4.11 (population count UN WPP-adjusted) - 10.7927/H4PN93PB
U.S. Census Grids (U.S. Social Vulnerability Index Grids, v1) - 10.7927/6s2a-9r49

Potvin, C. K., Broyles, C., Skinner, P. S., & Brooks, H. E. (2022). Improving estimates of U.S. tornado frequency by accounting for unreported and underrated tornadoes. Journal of Applied Meteorology and Climatology, 61(7), 909-930. doi:10.1175/jamc-d-21-0225.1
U.S. Census Grids (Summary File 1, v1 (1990))
U.S. Census Grids (Summary File 1, v1 (2000))
U.S. Census Grids (Summary File 1, v1 (2010))

Potvin, C. K., Broyles, C., Skinner, P. S., Brooks, H. E., & Rasmussen, E. (2019). A Bayesian hierarchical modeling framework for correcting reporting bias in the U.S. tornado database. Weather and Forecasting, 34(1), 15-30. doi:10.1175/waf-d-18-0137.1
U.S. Census Grids (Summary File 1, v1 (1990))
U.S. Census Grids (Summary File 1, v1 (2010)) 

Richter, B. D., Bartak, D., Caldwell, P., Davis, K. F., Debaere, P., Hoekstra, A. Y., . . . Troy, T. J. (2020). Water scarcity and fish imperilment driven by beef production. Nature Sustainability, 3, 319-328. doi:10.1038/s41893-020-0483-z
U.S. Census Grids (Summary File 1, v1 (2010)) - 10.7927/H40Z716C

Sanderson, E. W., Beckmann, J. P., Beier, P., Bird, B., Bravo, J. C., Fisher, K., . . . Wilcox, S. (2021). The case for reintroduction: The jaguar (Panthera onca) in the United States as a model. Conservation Science and Practice, 3(6), e392. doi:10.1111/csp2.392
U.S. Census Grids (Summary File 1, v1 (2010))

Sapena, M., Ruiz, L. A., & Taubenböck, H. (2020). Analyzing links between spatio-temporal metrics of built-up areas and socio-economic indicators on a semi-global scale. ISPRS International Journal of Geo-Information, 9(7), 436. doi:10.3390/ijgi9070436
U.S. Census Grids (unspecified)

Singh, J., Karmakar, S., Paimazumder, D., Ghosh, S., & Niyogi, D. (2020). Urbanization alters rainfall extremes over the contiguous United States. Environmental Research Letters, 15(7), 074033. doi:10.1088/1748-9326/ab8980
U.S. Census Grids (Summary File 3, v1 (1990))
U.S. Census Grids (Summary File 3, v1 (2000))

Strader, S. M., Pingel, T. J., & Ashley, W. S. (2016). A Monte Carlo model for estimating tornado impacts. Meteorological Applications, 23(2), 269-281. doi:10.1002/met.1552
Gridded Population of the World (GPW) v3 (collection)
U.S. Census Grids (collection)

Van Berkel, D. B., Rayfield, B., Martinuzzi, S., Lechowicz, M. J., White, E., Bell, K. P., . . . McGill, B. J. (2018). Recognizing the ‘sparsely settled forest’: Multi-decade socioecological change dynamics and community exemplars. Landscape and Urban Planning, 170, 177-186. doi:10.1016/j.landurbplan.2017.10.009
U.S. Census Grids (Summary File 3, v1 (2000))

Wan, H., Yoon, J., Srikrishnan, V., Daniel, B., & Judi, D. (2022). Population downscaling using high-resolution, temporally-rich U.S. property data. Cartography and Geographic Information Science, 49(1), 18-31. doi:10.1080/15230406.2021.1991479
U.S. Census Grids (collection)

Wan, N. (2015). Pesticides exposure modeling based on GIS and remote sensing land use data. Applied Geography, 56, 99-106. doi:10.1016/j.apgeog.2014.11.012
U.S. Census Grids (Summary File 1, v1 (2000))
REMOTE SENSING (Landsat)

Wan, N., & Lin, G. (2016). Parkinson's Disease and pesticides exposure: New findings from a comprehensive study in Nebraska, USA. The Journal of Rural Health, 32(3), 303-313. doi:10.1111/jrh.12154
U.S. Census Grids (Summary File 1, v1 (2000))

Wilkins, E. J. (2020). Using Social Media to Assess the Impact of Weather and Climate on Visitation to Outdoor Recreation Settings. (Ph.D.). Utah State University, Retrieved from https://doi.org/10.26076/adf6-c83d 
U.S. Census Grids (Summary File 1, v1 (2010)) - 10.7927/H40Z716C

Wilkins, E. J., Chikamoto, Y., Miller, A. B., & Smith, J. W. (2021). Climate change and the demand for recreational ecosystem services on public lands in the continental United States. Global Environmental Change, 70, 102365. doi:10.1016/j.gloenvcha.2021.102365
U.S. Census Grids (Summary File 1, v1 (2010)) - 10.7927/H40Z716C

Wroblicky, G., Graham, L. S., Schneider, E. M., Pabla, J., Bryson, E., Driggers, P. E., & Zeiss, M. R. (2018). Pesticide use data and the distribution of acute illness episodes: The promise and challenges of geoinformatics. In Managing and Analyzing Pesticide Use Data for Pest Management, Environmental Monitoring, Public Health, and Public Policy (Vol. 1283, pp. 431-462): American Chemical Society.
U.S. Census Grids (Summary File 1, v1 (2010)) - 10.7927/H40Z716C

Zhou, Y., & Gurney, K. R. (2011). Spatial relationships of sector-specific fossil fuel CO2 emissions in the United States. Global Biogeochemical Cycles, 25(3), GB3002. doi:10.1029/2010gb003822
U.S. Census Grids (Summary File 1, v1 (2000))

Zou, Y., O’Neill, S. M., Larkin, N. K., Alvarado, E. C., Solomon, R., Mass, C., . . . Shen, H. (2019). Machine learning-based integration of high-resolution wildfire smoke simulations and observations for regional health impact assessment. International Journal of Environmental Research and Public Health, 16(12), 2137. doi:10.3390/ijerph16122137
U.S. Census Grids (Summary File 1, v1 (2010))
NASA REMOTE SENSING (Cloud-Aerosol Transport System (CATS))
NASA REMOTE SENSING (MODIS - MCD19A2)