World Resources Institute

WRI works to solve six great, global challenges that must be addressed this decade: water, forests, climate, energy, food, cities and transport. We have active projects in more than 50 countries, as well as institutional offices in the United States, China, India, Indonesia and Brazil.

Tous les ensembles de données: C W
  • C
    • avril 2015
      Source : World Resources Institute
      Téléchargé par : Knoema
      Accès le : 26 février, 2016
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      Data Citation: CAIT Climate Data Explorer. 2017. Washington, DC: World Resources Institute. Available online at: http://cait.wri.org   CAIT data carries a Creative Commons Attribution-NonCommercial 4.0 International license   The data set contains emission projections reported by national government refered to "National Government" (the majority of which are National Communications and Biennial Reports submitted by governments to the UNFCCC), by the U.S. Energy Information Administration (EIA) and a set of Integrated Assessment Models (IAMs) from Netherlands Environmental Assessment Agency (PBL), International Institute for Applied Systems Analysis (IIASA), and Potsdam Institute for Climate Impact Research (PIK).    
  • W
    • août 2023
      Source : World Resources Institute
      Téléchargé par : Knoema
      Accès le : 14 décembre, 2023
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      string_id: contains a unique string for each geometry. Geometries are the union of hydrological basins, provinces and groundwater aquifers. String_id is a combination of pfaf_id-gid_1-aqid. name_0: Country bws_raw: raw value. Units depend on the indicator bws_score: each indicator is mapped to a [0-5] scale. bws_label: A label explaining the category of the indicator including the threshold. eg "Extremely High (more than 1 in 100)". w_awr_def_qan_raw raw value on 0-5 scale. Result of weighted composite approach w_awr_def_qan_score: score [0-5], the result of applying a quantile approach to raw values ​​w_awr_def_qan_label: A label explaining the category of the grouped water risk w_awr_def_qan_weight_fraction: the fraction [0-1] of the group towards the overall water risk score. NoData is excluded from the weights and therefore the fractions can be lower than 1 depending on data availability