19 Works

Urban Heat Island Hazard and Risk Indices for Austria

A. Storch, W. Schieder, B. Hollosi, A. Žuvela-Aloise, G. Prokop, S. Guggenberger & L. See

Dataset-Empirically-based spatial projections of U.S. population age structure consistent with the shared socioeconomic pathways

E. Striessnig, J. Gao, B. O'Neill & L. Jiang

Reconciling regional nitrogen boundaries with global food security

J. Chang, P. Havlik, D. Leclere, W. de Vries, H. Valin, A. Deppermann, T. Hasegawa & M. Obersteiner

Implied emission factors in the World Bank’s Carbon Pricing Assessment Tool (CPAT)

F. Wagner, J. Borken-Kleefeld, G. Kiesewetter, Z. Klimont, W. Schoepp & M. Amann

Soil respiration database

L. Mukhortova, D. Shchepaschenko & A. Shvidenko

Soil respiration database

L. Mukhortova, D. Shchepaschenko & A. Shvidenko

Exposure coefficients in the EUCalculator

F. Wagner, J. Borken-Kleefeld, G. Kiesewetter, Z. Klimont, W. Schoepp & M. Amann

Crowdsourcing LUCAS: Data set from the 2018 FotoQuest Go Europe campaign

J.C. Laso Bayas, L. See, H. Bartl, T. Sturn, M. Karner, D. Fraisl, I. Moorthy, M. Busch, M. Van Der Velde & S Fritz

Supplementary data for: Global Gridded Nitrogen Indicators: Influence of Crop Maps

K. Kaltenegger
Displaying Nitrogen (N) indicators on a global grid poses unique opportunities to quantify environmental impacts from N application in different world regions under a variety of conditions. Such calculations require the use of maps showing the geo-spatial distribution of crop production. Although there are several crop maps in the scientific literature to choose from, the consequences of this choice for the calculation of N indicators still need to be evaluated. In this study we analyze...

Supplementary data for: Global Gridded Nitrogen Indicators: Influence of Crop Maps

K. Kaltenegger
indicators on a global grid pose unique opportunities to quantify environmental impacts from N application simultaneously on various scales and different world regions. Such calculations require the use of maps showing the geo-spatial distribution of crop production. Although there are several crop maps in the scientific literature to choose from, the consequences of this choice for the calculation of N indicators still needs to be evaluated. In this study we analyze the differences of the...

Supplementary Material to Quantifying Memory and Persistence in the Atmosphere–Land/Ocean Carbon System

M. Jonas, R. Bun, I. Ryzha & P. Żebrowski
The Supplementary Material download gives access to 1. the Supplementary Information (SI) file; and 2. the Supplementary Data (SD) file supporting the manuscript Quantifying memory and persistence in the atmosphere–land/ocean carbon system, submitted for publication as a research article in Earth Systems Dynamics (manuscript no. esd-2021-27). The SI file is a PDF document. It combines ten sections which provide full explanations of the mathematics used in the manuscript or other useful information allowing to keep...

A global reference dataset for remote sensing of forest biomass. The Forest Observation System approach

D. Schepaschenko, J. Chave, O.L. Phillips, S.L. Lewis, S.J. Davies, M. Réjou-Méchain, P. Sist, K. Scipal, C. Perger, B. Herault, N. Labrière, F. Hofhansl, K. Affum-Baffoe, A. Aleinikov, A. Alonso, C. Amani, A. Araujo-Murakami, J. Armston, L. Arroyo, N. Ascarrunz, C. Azevedo, T. Baker, R. Bałazy, O. Banki, C. Bedeau … & I.C. Zo-Bi

Scenario data for \"A new scenario logic for the Paris Agreement long-term temperature goal“

J. Rogelj, D. Huppman, V. Krey, K. Riahi, L. Clarke, M. Gidden, Z. Nicholls & M. Meinshausen

Crowdsourcing deforestation in the tropics during the last decade: Data sets from the “Driver of Tropical Forest Loss” Geo-Wiki campaign

J.C. Laso Bayas, L. See, I. Georgieva, D. Schepashchenko, O. Danylo, M. Dürauer, H. Bartl, F. Hofhansl, M. Lesiv, R. Zadorozhniuk, M. Burianchuk, F. Sirbu, B. Magori, K. Blyshchyk, V. Blyshchyk, A.H. Rabia, C.K. Pawe, Y.-F. Su, M. Ahmed, K. Panging, O. Melnyk, O. Vasylyshyn, R. Vasylyshyn, A. Bilous, S. Bilous … & S. Fritz
The data set is the result of the Drivers of Tropical Forest Loss crowdsourcing campaign. The campaign took place in December 2020. A total of 58 participants contributed validations of almost 120k locations worldwide. The locations were selected randomly from the Global Forest Watch tree loss layer (Hansen et al 2013), version 1.7. At each location the participants were asked to look at satellite imagery time series using a customized Geo-Wiki user interface and identify...

Supplementary Data to Potentials for reductions of global GHG and air pollutants from circular municipal waste management systems

Adriana Gómez-Sanabria, Gregor Kiesewetter, Zbigniew Klimont, Wolfgang Schoepp & Helmut Haberl
This dataset provides complementary information supporting the manuscript Potentials for reductions of global GHG and air pollutants from circular municipal waste management systems, submitted for publication as a research article in Nature Communications. The dataset provides detailed information on emission estimates of methane, particulate matter and air pollutants from municipal solid waste, including emission factors, and municipal solid waste generation and treatment, globally as well as by region (urban-rural) and scenario.

Innovations for Sustainability. Pathways to an efficient and post-pandemic future. Report prepared by The World in 2050

A. Grubler, J. Leininger, C. Zimm, G. Clarke, K. Ebi, D. Messner, J. RockströM, S. Van Der Leeuw, C. Wilson, E. Zusman, J. Sachs, A.P. Aguiar, A. Al Khourdajie, D. Arent, T. Arimoto, A. Bhowmik, B. Boza-Kiss, A. Breur, H. Carlsen, F. Carrero-Martinez, K.C. Stancova, I. Chabay, C.-W. Chao, W.E. Colglazier, D. Collste … & H. Yamada

Climate warming from managed grasslands cancels the cooling effect of carbon sinks in sparsely grazed and natural grasslands

J. Chang, P. Ciais, T. Gasser, P. Smith, M. Herrero, P. Havlik, M. Obersteiner, B. Guenet, D.S. Goll, W. Li, V. Naipal, S. Peng, C. Qiu, H. Tian, N. Viovy, C. Yue & D. Zhu
Grasslands absorb and release carbon dioxide (CO2), emit methane (CH4) from grazing livestock and emit nitrous oxide (N2O) from soils. Little is known about how the fluxes of these three greenhouse gases, from managed and natural grasslands worldwide, have contributed to past climate change, or the roles of managed pastures versus natural grasslands. Here, global trends and regional patterns of the full greenhouse gas balance of grasslands are estimated for the period 1750 to 2012....

Revisiting enteric methane emissions from domestic ruminants and their δ13CCH4 source signature reflecting diet and environmental shifts

J. Chang, S. Peng, P. Ciais, M. Saunois, S. Dangal, M. Herrero, P. Havlik, H. Tian & P. Bousquet
The dataset provide data supporting the findings of the above publication (Chang et al., 2019). The dataset contains global, regional and country level data of 1) feed intake (dry matter) by livestock (poultry, pigs and ruminants), 2) C3-C4 diet composition of domestic ruminants, 3) enteric methane emissions from ruminants, and 4) the δ13CCH4 source signature of the methane emissions. Annual data for the period 1961-2012 are provided.

Data for: A map of the extent and year of detection of oil palm plantations in Indonesia, Malaysia and Thailand

O. Danylo, J. Pirker, G. Lemoine, G. Ceccherini, L. See, I. McCallum, Hadi , F. Kraxner, F. Achard & S. Fritz
The dataset consists of nine tiles of 16-bit GeoTIFF at a resolution of 30 m with a single attribute value, i.e., the year in which the oil palm plantation was first detected. At this point the plantation is 2 to 3 year of age. The data values range from 0 to 37 where 0 is no data and subsequent numbers run through until 2017, the last year of our analysis. A value of 4 corresponds...

Registration Year

  • 2021
    5
  • 2020
    9
  • 2019
    5

Resource Types

  • Dataset
    19