7 research outputs found
Number of fully-covered component issues for each integrated issue.
<p>See <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0128752#pone.0128752.s005" target="_blank">S4 Dataset.csv</a> for a full list of component issues.</p
Forty-four integrated sustainability issues (24 impact and 36 vulnerability).
<p>See Information B in <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0128752#pone.0128752.s001" target="_blank">S1 File</a> for detailed descriptions of each integrated issue.</p
Most and least mentioned Integrated Issues across perspectives (top and bottom 25%).
<p>Most and least mentioned Integrated Issues across perspectives (top and bottom 25%).</p
Percentage of integrated issues considered by each perspective.
<p>Organized sequentially by capital group. Percentage is an average all sampled documents and communications from all three perspectives. Note: Many livelihoods frameworks treat capital groups themselves as very broad issues, and these are not included in this figure. If counted, the breakdown of capital group mentions from the livelihoods perspective is Human (42%), Natural (83%), physical/financial (66.6%), social/political (75%), showing much higher coverage across capital groups, particularly for natural issues.</p
Number of related indicators per integrated issue.
<p>Number of related indicators per integrated issue.</p
Integrated issues linked to sources by perspective.
<p>Each link represents an individual source that mentions the issue. Size of node (and text) corresponds to the number of links. Issue nodes are distributed using a force-directed algorithm (Force Atlas 2 using Gephi 0.8.2) and hence closest to perspectives with which they share the most links. See <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0128752#pone.0128752.s004" target="_blank">S3 Dataset.csv</a> for data on each individual source and their issue links.</p
SEEG initiative estimates of Brazilian greenhouse gas emissions: dataset from 1970 to 2015
This is a comprehensively dataset of Brazilian GHG emissions at national and sub-national levels for the period of 1970 to 2015 (SEEG database) for five sectors - Agriculture, Energy, Industrial Processes, Water, and Land Use. Based on the IPCC guidelines and the Brazilian National Inventory, SEEG was made by collecting raw data from multiple national official and nonofficial sources, and also organized with relevant social and economic indicators. Therefore, under simple queries, SEEG dataset allows users to search data by GHG emission sources and country activities