Datasets

DANTE Datasets

The DANTE toolkit will include R tools to acquire and maintain regularly updated datasets. We are currently planning to support the following datasets.

We encourage you to suggest additional datasets. Please email us: info@dante-project.org.


Dataset Genre
IMF Direction of Trade Statistics (International Monetary Fund 2018) Country-Country-Month
The Global Flow of People (Abel and Sander 2014) Country-Country-Period
International Migrant Stock, 2017 (UN Population Division 2017a) Country-Country-Year
UNHCR Population Statistics Database (Landau and Achiume 2016) Country-Country-Year
Composition of Religious and Ethnic Groups (CREG) Project (Cline Center, 2012) Country-Year
Institutions and Elections Project V2 (Wig et al. 2015) Country-Year
Major Episodes of Political Violence (Marshall 2017) Country-Year
Regime Type (multiple datasets via democracyData, Marquez 2017) Country-Year
UCDP/PRIO Armed Conflict Dataset v18.1 (Allansson et al 2017) Country-Year
World Development Indicators (The World Bank 2017) Country-Year
World Population Prospects, 2017 (The United Nations 2017b) Country-Year
World Urbanization Prospects, 2014 (The United Nations 2014) Country-Year
Cline Center Historical Phoenix Event Data (Althaus et al. 2017) Event
Coup D'etat Project (Cline Center 2013) Event
Integrated Crisis Early Warning System (ICEWS, Boschee et al. 2015) Event
IPUMS International (89 countries, Minnesota Population Center 2017) Microdata Sample
Global Roads Open Acccess Dataset, V2 (CIESIN and ITOS 2013) Geospatial Line
International Best Track Archive for Climate Stewardship v03r10 (Knapp et al. 2010) Geospatial Line Time-Series
Global Reservoir and Dam (GRandD) V1.1 (Lehner et al. 2011) Geospatial Point
HDX Global Airports (World Food Programme 2015a) Geospatial Point
HDX Global Ports (World Food Programme 2015b) Geospatial Point
Armed Conflict Location and Event Data (ACLED, Raleigh et al 2010) Geospatial Point Time-Series
PITF Worldwide Atricities Dataset (PITF 2018) Geospatial Point Time-Series
SPEED Project Civil Unrest Data (Cline Center 2014) Geospatial Point Time-Series
CShapes Database (Weidmann et al. 2010) Geospatial Polygon Time-Series
Global Archive of Large Flood Events (Breckenridge 2018) Geospatial Polygon Time-Series
Low Elevation Coastal Zone Inundation Maps (ISciences 2007) Raster (2000)
Crop Spatial Allocation Model (SPAM) (Fritz et al. 2015) Raster (2005)
Global Human Built-up and Settlement Extent (Wang et al. 2017) Raster (2010)
Global Man-made Impervious Surfaces (Brown de Coltstoun et al. 2017) Raster (2010)
Global Cropland Extent (GFSAD30 2018) Raster (2015)
MOPPIT V7 TIR/NIR Near-Surface CO Retrievals (Deeter 2017) Raster-Month
Tropospheric Ozone Data from AURA OMI/MLS (Ziemke 2006) Raster-Month
Water Security Indicator Model (GLDAS2.0 LSM, ISciences 2018) Raster-Month
Water Security Indicator Model (Internal LSM, ISciences 2018) Raster-Month
Anthropogenic Biomes of the World V2 (Ellis 2013) Raster-Year
Global Annual PM2.5 Grids (Battelle Memorial Institute 2013) Raster-Year
Gridded Population of the World, V4 (CIESIN and NASA SEDAC 2017) Raster-Year
MODIS Land Cover V006 (Shuai 2013) Raster-Year
VIIRS "Black Marble" Nightime Lights (Román 2018) Raster-Year
Citations

Abel, G. J., & Sander, N. (2014). Quantifying Global International Migration Flows. Science, 343(6178), 1520–1522. https://doi.org/10.1126/science.1248676

Allansson, Marie, Erik Melander and Lotta Themnér, 2017. Organized violence, 1989-2016. Journal of Peace Research. 54(4):574-587

Althaus, Scott, Joseph Bajjalieh, John F. Carter, Buddy Peyton, and Dan A. Shalmon. (2017). Cline Center Historical Phoenix Event Data. v.1.0.0. Distributed by Cline Center for Advanced Social Research. June 30. http://www.clinecenter.illinois.edu/data/event/phoenix/

Battelle Memorial Institute, & Center for International Earth Science Information Network - CIESIN - Columbia University. (2013). Global Annual Average PM2.5 Grids from MODIS and MISR Aerosol Optical Depth (AOD). NASA Socioeconomic Data and Applications Center (SEDAC). Retrieved from https://doi.org/10.7927/H4H41PB4

Boschee, Elizabeth; Lautenschlager, Jennifer; O'Brien, Sean; Shellman, Steve; Starz, James; Ward, Michael (2015). "ICEWS Coded Event Data", https://doi.org/10.7910/DVN/28075, Harvard Dataverse, V22

Breckenridge G. R. (2018). “Global Archive of Large Flood Events.” Dartmouth Flood Observatory, University of Colorado, http://floodobservatory.colorado.edu/Archives/index.html

Brown de Colstoun, E. C., Huang, C., Wang, P., Tilton, J. C., Tan, B., Phillips, J., … Wolfe, R. E. (2017). Global Man-made Impervious Surface (GMIS) Dataset From Landsat. NASA Socioeconomic Data and Applications Center (SEDAC). Retrieved from https://doi.org/10.7927/H4P55KKF

Center for International Earth Science Information Network - CIESIN - Columbia University. (2017). Gridded Population of the World, Version 4 Revision 10 (GPWv4). NASA Socioeconomic Data and Applications Center (SEDAC). http://sedac.ciesin.columbia.edu/data/collection/gpw-v4/documentation

Center for International Earth Science Information Network (CIESIN), Columbia University. (2017). Documentation for the Gridded Population of the World, Version 4 (GPWv4), Revision 10 Data Sets. Palisades NY: NASA Socioeconomic Data and Applications Center (SEDAC). https://doi.org/10.7927/H4B56GPT

CIESIN, & ITOS. (2013). Global Roads Open Access Data Set, Version 1 (gROADSv1) (Data Set). Palisades, NY: NASA Socioeconomic Data and Applications Center (SEDAC): Columbia University. Retrieved from http://dx.doi.org/10.7927/H4VD6WCT

Cline Center for Democracy (2012). The Composition of Religious and Ethnic Groups (CREG) Project. University of Illinois at Urbana Champaign. http://www.clinecenter.illinois.edu/publications/CREG-White_Paper.pdf

Cline Center for Democracy (2013). The Coup D’etat Project. University of Illinois at Urbana Champaign. http://www.clinecenter.illinois.edu/publication/white/event/documents/Coup_Project.pdf

Cline Center for Democracy (2014). Demarcating Episodes of Civil Strife: An Inductive, Iterative Approach. University of Illinois at Urbana Champaign. http://www.clinecenter.illinois.edu/publication/white/event/documents/SSP_Episodes_Demarcation.pdf

Congalton, R., & Yadav, K. (2017). Global Food Security-support Analysis Data (GFSAD) Cropland Extent 2015 Validation Global 30 m V001. NASA EOSDIS Land Processes DAAC. https://doi.org/10.5067/MEaSUREs/GFSAD/GFSAD30VAL.001

Deeter, M. N., Edwards, D. P., Francis, G. L., Gille, J. C., Martínez-Alonso, S., Worden, H. M., & Sweeney, C. (2017). A climate-scale satellite record for carbon monoxide: the MOPITT Version 7 product. Atmos. Meas. Tech., 10(7), 2533–2555. https://doi.org/10.5194/amt-10-2533-2017

Ellis, E. C., Goldewijk, K. K., Siebert, S., Lightman, D., & Ramankutty, N. (2013). Anthropogenic Biomes of the World, Version 2: 1900. NASA Socioeconomic Data and Applications Center (SEDAC). Retrieved from http://dx.doi.org/10.7927/H4J1012K

Ellis, G. F., Burk, D., Grover, J., & Minnesota Population Center. (2017). ipumsr: Read “IPUMS” Extract Files (Version 0.1.1) [R]. University of Minnesota. Retrieved from https://github.com/mnpopcenter/ipumsr

Fritz Steffen, See Linda, McCallum Ian, You Liangzhi, Bun Andriy, Moltchanova Elena, … Obersteiner Michael. (2015). Mapping global cropland and field size. Global Change Biology, 21(5), 1980–1992. https://doi.org/10.1111/gcb.12838

Gleditsch, N. P., Wallensteen, P., Eriksson, M., Sollenberg, M., & Strand, H. (2002). Armed Conflict 1946-2001: A New Dataset. Journal of Peace Research, 39(5), 615–637. https://doi.org/10.1177/0022343302039005007

International Monetary Fund. (2018). Direction of Trade Statistics (DOTS) (Data Set). International Monetary Fund. Retrieved from http://data.imf.org/?sk=9D6028D4-F14A-464C-A2F2-59B2CD424B85

ISciences (2007). Low Elevation Coastal Zone Inundation Maps.

ISciences (2018). WSIM-Water Security Indicator Model. https://wsim.isciences.com/

Knapp, K. R., Kruk, M. C., Levinson, D. H., Diamond, H. J., & Neumann, C. J. (2010). The International Best Track Archive for Climate Stewardship (IBTrACS). Bulletin of the American Meteorological Society, 91(3), 363–376. https://doi.org/10.1175/2009BAMS2755.1

Landau, L., & Achiume, E. T. (2016). Global Trends: Forced Displacement in 2015 (International Migration Report). New York, NY: United Nations Department of Economic and Social Affairs. Retrieved from http://www.unhcr.org/576408cd7

Lehner, B., Reidy Liermann, C., Revenga, C., Vorosmarty, C., Fekete, B., Crouzet, P., … Wisser, D. (2011). Global Reservoir and Dam Database, Version 1 (GRanDv1): Reservoirs, Revision 01. NASA Socioeconomic Data and Applications Center (SEDAC). Retrieved from http://dx.doi.org/10.7927/H4HH6H08

Márquez, X. (2017). democracyData: A package for accessing and manipulating existing measures of democracy. [R]. Retrieved from http://github.com/xmarquez/democracyData

Marshall, M. G. (2017). Major Episodes of Political Violence: 1946-2004 (Data Set) (pp. 1–17). Severn, MD: Center for Systemic Peace. Retrieved from http://www.systemicpeace.org/inscrdata.html

Minnesota Population Center. (2017). Integrated Public Use Microdata Series, International: Version 6.5 (Data Set). Minneapolis, MN: University of Minnesota. Retrieved from http://doi.org/10.18128/D020.V6.5

Minnesota Population Center. (2017). Package ‘ipumsr’. Minneapolis, MN: University of Minnesota. Retrieved from https://cran.r-project.org/web/packages/ipumsr/ipumsr.pdf

NRC (2009). Informing decisions in a changing climate. Panel on Strategies and Methods for Climate-Related Decision Support. National Research Council. Washington, DC: The Academies Press. https://doi.org/10.17226/12626

Pettersson, Therése and Kristine Eck (2018) Organized violence, 1989-2017. Journal of Peace Research 55(4).ec

PITF (2017). Political Instability Task Force Worldwide Atrocities Dataset. http://eventdata.parusanalytics.com/data.dir/atrocities.html

PITF (2018). Political Instability Task Force Worldwide Atrocities Dataset. http://eventdata.parusanalytics.com/data.dir/atrocities.html

Raleigh, C., Linke, A., Hegre, H., & Karlsen, J. (2010). Introducing ACLED: An Armed Conflict Location and Event Dataset: Special Data Feature. Journal of Peace Research, 47(5), 651–660. https://doi.org/10.1177/0022343310378914

Román, M. O., Wang, Z., Sun, Q., Kalb, V., Miller, S. D., Molthan, A., Masuoka, E. J. (2018). NASA’s Black Marble nighttime lights product suite. Remote Sensing of Environment, 210, 113–143. https://doi.org/10.1016/j.rse.2018.03.017

Shuai, Y., Schaaf, C., Zhang, X., Strahler, A., Roy, D., Morisette, J., … Davies, J. E. (2013). Daily MODIS 500 m reflectance anisotropy direct broadcast (DB) products for monitoring vegetation phenology dynamics. International Journal of Remote Sensing, 34(16), 5997–6016. https://doi.org/10.1080/01431161.2013.803169

The United Nations. (2014). World Urbanization Prospects: The 2014 Revision (Data Set). New York, NY: United Nations, Department of Economic and Social Affairs, Population Division. https://esa.un.org/unpd/wup/publications/files/wup2014-report.pdf

The United Nations. (2015). Trends in International Migrant Stock: The 2015 Revision. New York, NY: United Nations, Department of Economic and Social Affairs, Population Division. http://www.un.org/en/development/desa/population/migration/data/estimates2/docs/MigrationStockDocumentation_2015.pdf.

The United Nations. (2017). World Population Prospects: The 2017 Revision (Data Set). New York, NY: United Nations, Department of Economic and Social Affairs, Population Division. https://www.un.org/development/desa/publications/world-population-prospects-the-2017-revision.html

Wang, P., Huang, C., Tilton, J. C., Tan, B., & Colstoun, E. C. B. de. (2017). HOTEX: An approach for global mapping of human built-up and settlement extent. In 2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS) (pp. 1562–1565). https://doi.org/10.1109/IGARSS.2017.8127268

Weidmann, N. B., & Gleditsch, K. S. (2010). Mapping and Measuring Country Shapes The cshapes Package. https://www.prio.org/utility/DownloadFile.ashx?id=330&type=publicationfile

Wig, T., Hegre, H., & Regan, P. M. (2015). Updated data on institutions and elections 1960–2012: presenting the IAEP dataset version 2.0. Research & Politics, 2(2), 2053168015579120. https://doi.org/10.1177/2053168015579120

The World Bank. (2017). World Development Indicators (Data Set). Washington, DC: The World Bank. Retrieved from https://data.worldbank.org/data-catalog/world-development-indicators

World Food Programme. (2015). Global Airports (WFP -Logistics) (Data Set). World Food Programme. Retrieved from https://data.humdata.org/dataset/global-airports

World Food Programme. (2015). Global Ports (WFP SDI-T - Logistics) (Data Set). World Food Programme. Retrieved from https://data.humdata.org/dataset/global-ports

Ziemke J. R., Chandra S., Duncan B. N., Froidevaux L., Bhartia P.K., Levelt P. F., & Waters J. W. (2006). Tropospheric ozone determined from Aura OMI and MLS: Evaluation of measurements and comparison with the Global Modeling Initiative’s Chemical Transport Model. Journal of Geophysical Research: Atmospheres, 111(D19). https://doi.org/10.1029/2006JD007089

 

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