Publications & Results
Resource Title![]() |
Brief Summary |
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Qualitative Data Recommendations for Research Institutions |
Feb 08, 2018 This is a two-page summary of key opportunities and challenges for sharing and re-using qualitative data in socio-environmental synthesis, with recommendations for actions that research institutions can take to encourage and support qualtiative data sharing and re-use. |
Qualitative Data Recommendations for Researchers |
Feb 08, 2018 This is a two-page summary of key opportunities and challenges for sharing and re-using qualitative data in socio-environmental synthesis, with recommendations for actions that individual researchers and research teams can take to encourage and support qualtiative data sharing and re-use. |
Qualitative data sharing and re-use for socio-environmental systems research: A synthesis of opportunities, challenges, resources and approaches |
Feb 01, 2018 This white paper discusses opportunities, challenges, resources and approaches for qualitative data sharing and re-use for socio-environmental research. The content and findings of the paper are a synthesis and extension of discussions that began during a workshop funded by the National Socio-Environmental Synthesis Center (SESYNC) and held at the Center Feb. 28-March 2, 2017. |
Qualitative data sharing and synthesis for sustainability science |
Nov 25, 2019 Article published in Nature Sustainability. |
Quantifying ecological and social drivers of ecological surprise |
May 02, 2018 Article published in Journal of Applied Ecology. |
Quantifying ecosystem service flows at multiple scales across the range of a long-distance migratory species |
Apr 21, 2018 Article published in Ecosystem Services. |
Quantifying Nutrient Budgets for Sustainable Nutrient Management |
Feb 19, 2020 Article published in Global Biogeochemical Cycles
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Quantifying the return on investment of social and ecological data for conservation planning |
Dec 19, 2019 Article published in Environmental Research Letters. |
R-Slurm package |
Jun 15, 2016 Many computing-intensive processes in R involve the repeated evaluation of a function over many items or parameter sets. These so-called embarrassingly parallel calculations can be run serially with the The rslurm package simplifies the process of distributing this type of calculation across a computing cluster that uses the SLURM workload manager. Its main function, |
Racial coastal formation: The environmental injustice of colorblind adaptation planning for sea-level rise |
Oct 17, 2017 Article published in Geoforum. |