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Description This database contains grain yield data collected from IRRI's Long Term Continuous Cropping Experiment (LTCCE; 1968-2016) and Rice-Upland Crop Rotation Experiment (RUCRE; 1993-2016). For data access, please coordinate with Olivyn Angeles (o.angeles@irri.org).

Maps of Köppen classification are done from Temperature and precipitation obtained by the Global Circulation Model IPSL-CM5A-LR. The model runs under different scenarios: RCP8.5 and ice sheets melting superimposed to RCP8.5.To reproduce the ice-sheet melting, freshwater is put in the North Atlantic (corresponds to Greenland melting) or around West-Antarctica. Freshwater is introduced between 2020 and 2070 under the RCP8.5 scenario and the total volume corresponds to a sea level rise of 0.5m, 1m, 1.5m and 3m. For the Antarctica and Greenland + Antarctic scenarios, only the 3m scenario is available.Five time series of Global Köppen classification with 20-year running mean are available in this repository. The maps are produced annually with a resolution of 0.5 ° X0.5 ° and contain the 31 classes of Köppen.1951 and 2005 for historical run (historical)2006 and 2099 for RCP8.5 scenarios (RCP85)2006 and 2099 for Greenland melting (GrIS05m, GrIS1m, GrIS15m, GrIS3m)2006 and 2099 for Antamelting (WAIS3m)2006 and 2099 for Greenland melting (GrWAIS3m)The annual maps are in Geotiff format produced by raster library with R langage. Each Köppen's class corresponds to a number between 0 (sea) and 35. The Excel file (Descriptions of classification.xlsx) give the correspondance between the number and the Köppen classification name (abreviations or full name). The legendQGIS_Koppen.qpt permits to draw map from each geotiff file with the correct classes and colors with QGIS.

This dataset includes First Street's aggregated flood risk summary statistics. The data is available in CSV format and is aggregated at the state, congressional district, county, and zip code level. The data allows you to compare FSF data with FEMA data. You can also view aggregated flood risk statistics for various modeled return periods (5-, 100-, and 500-year) and see how risk changes due to climate change (compare FSF 2020 and 2050 data). There are various Flood Factor risk score aggregations available including the average risk score for all properties (flood factor risk scores 1-10) and the average risk score for properties with risk (i.e. flood factor risk scores of 2 or greater). This is version 2.0 of the data and it covers the 50 United States and Puerto Rico. There will be updated versions to follow. If you are interested in acquiring First Street flood data, you can request to access the data here. More information on First Street's flood risk statistics can be found here and information on First Street's hazards can be found here.

This is the pumping curves of the three specimens in the laboratory experiments.

The Environmental Displacement Dataset (EnDis) quantifies human movement in response to sudden-onset natural hazards, including floods, storms, wildfires, landslides, earthquakes, and volcanic activity.

This spreadsheet contains a list of 60 predictions of climate-related "apocalyptic" scenarios made by various public figures. This list is part of the raw data examined to investigate how the communication of extreme predictions is made and interpreted. Our research suggests that predictions made by scientists and nonscientists differ in meaningful ways, that the conservatism of the predictions has increased over time, and that the medium of communication does not appear to matter. This data was compiled from various online sources and internet search, with the URLs to the underlying sources provided in the spreadsheet.The data was compiled by analyzing the text of the original sources. Data related to the speakers' birth year and background were obtained from public sources (Wikipedia, institutional biographies, etc).

Research Data Table 1 is a table of the georreferenced historical (literature-based) and species surveys occurrence points for Ctenomys magellanicus (Rodentia, Caviomorpha). These points are the raw data for the analyses performed in this work. Research Data Table 2 is the result of fitting 120 models (EDM) with different features combination.

The data contained in the Excel file is self-explanatory.More information may be added to this section later. Add cookbook info describing variables.