Physical Sciences and Mathematics Commons^™

Co2 Enhanced Oil Recovery Life Cycle Analysis Model (Rev. 2), Nicholas A. Azzolina, Wesley D. Peck, John A. Hamling, Charles D. Gorecki, Scott C. Ayash, Thomas E. Doll, David V. Nakles, L. Stephen Melzer

EERC Publications

In “How green is my oil?” by Azzolina et al., the authors presented an integrated life-cycle model for CO₂-EOR where the CO₂ is sourced from a coal-fired power plant. The model was developed entirely in Microsoft Excel^® to improve transparency and provide a useful tool for other practitioners. This model is an updated version of the model from the article. The cells have been unlocked so they can be modified.

Azzolina, N.A., Peck, W.D., Hamling, J.A., Gorecki, C.D., Ayash, S.C., Doll, T.E., Nakles, D.V., and Melzer, L.S., 2016, How green is my oil? a detailed look …

Variability In The Carbon Storage Of Seagrass Habitats And Its Implications For Global Estimates Of Blue Carbon Ecosystem Service [Dataset], Paul Lavery, Miguel-Angel Mateo, Oscar Serrano, Mohammad Rozaimi

Research Datasets

The dataset compiles published data (in Lavery et al. 2013, PLoS ONE 8(9): e73748. doi:10.1371/journal.pone.0073748) on biogeochemical variables (organic matter, organic carbon and CO3 contents, and stable carbon isotope signatures of the organic carbon) in sediment core from seagrass meadows in Australia. The cores studied were up to 29 cm long, and ecompass tropical, subtropical and temperate seagrass meadows in intertidal and subtidal habitats. Enquiries about the dataset may be sent to Paul Lavery p.lavery@ecu.edu.au.

Fy 2016 Umass Amherst Water & Steam Data By Building, Ezra Small

Campus Data

Each year, UMass Amherst Utilities publishes this spreadsheet which has the monthly and annual building water and steam consumption of each metered building on campus.

Umass Amherst Energy Consumption, Ghg Emissions, Energy Intensity From 2002-2015, Ezra Small

Campus Data

Data spreadsheet of GHG emissions, fuel consumption, and energy intensity for UMass Amherst between Fiscal Years 2002 to 2015.

Fy 2016 Umass Amherst Electricity Data By Building, Ezra Small

Campus Data

Each year, UMass Amherst Utilities publishes this spreadsheet which has the monthly and annual building energy consumption of each metered building on campus. Cost data and production vs. purchased electricity data are also provided.

Spatiotemporal Meta-Analysis: Reviewing Health Psychology Phenomena Over Space And Time., Blair T. Johnson

CHIP Documents

This supplemental material is meant to support this article:

Johnson, B. T., Crowley, E., & Marrouch, N. Spatiotemporal meta-analysis: Reviewing health psychology phenomena over space and time. Health Psychology Review.

Specifically, it is a database of GDPs per capita for nations in the world between 1800 and 2015. It is archived here to support an online supplement to this article.

GDP per capita

Seagrass Sediments Reveal The Long-Term Deterioration Of An Estuarine Ecosystem [Dataset], Oscar Serrano, Paul S. Lavery, Pere Masque, Karina Inostroza, James Bongiovanni, Carlos Duarte

Research Datasets

The database compiles published data (in Serrano et al. 2016, Global Change Biology, doi:10.1111/gcb.13195) on temporal trends in biogeochemical variables in the Posidonia australis sediment core from Oyster Harbour, Western Australia. The core studied encompasses the last 500 years of history. Data on dry bulk density, carbonate content, sedimentso.serranogras@ecu.edu.au.

Key Biogeochemical Factors Affecting Soil Carbon Storage In Posidonia Meadows [Dataset], Oscar Serrano, Aurora M. Ricart, Paul S. Lavery, Miguel-Angel Mateo, Ariane Arias-Ortiz, Pere Masque, Andy Steven, Carlos M. Duarte

Research Datasets

The database compiles published data (in Serrano et al. 2015, Biogeosciences, doi:10.5194/bgd-12-18913-2015) on biogeochemical characteristics (age, density, organic carbon, inorganic carbon, stable carbon isotopes and sediment grain size) of sediments underneath seagrass meadows (Posidonia sinuosa) along a bathymetric gradient (from 2 to 8 m) and adjacent un-vegetated patches in Garden Island (Perth, Western Australia). The dataset compiles data on biogeochemical sediment characteristics (including organic and inorganic carbon stocks and burial rates) for a total of 5 cores (4 cores from seagrass meadows and 1 core from adjacent un-vegetated sediments). Enquiries about the dataset may be sent to Oscar …

Can Mud (Silt And Clay) Concentration Be Used To Predict Soil Organic Carbon Content Within Seagrass Ecosystems? [Dataset], Oscar Serrano, Paul Lavery, Carlos M. Duarte, Gary A. Kendrick, Antoni Calafat, Paul York, Andy Steven, Peter Macreadie

Research Datasets

The database compiles published data (in Serrano et al. 2016, Biogeosciences, doi:10.5194/bg-2015-598) on biogeochemical characteristics (%organic carbon, stable carbon isotopes and mud content) of sediments underneath seagrass meadows and bare sediments in Australia and Spain. Details on habitat characteristics (latitude/longitude, water depth, seagrass species and geomorphology) and sediment depth are also provided for each location studied. The data set includes 1345 data entries from 100 sediment cores, encompassing 10 seagrass species in estuarine and coastal habitats. Enquiries about the dataset may be sent to Oscar Serrano o.serranogras@ecu.edu.au.

Impact Of Mooring Activities On Carbon Stocks In Seagrass Meadows [Dataset], Oscar Serrano, Radhiyah Ruhon, Paul S. Lavery, Gary A. Kendrick, Sharyn Hickey, Pere Masque, Ariane Arias-Ortiz, Andy Steven, Carlos M. Duarte

Research Datasets

The database compiles published data (in Serrano et al. 2016, Scientific Reports, in press) on biogeochemical characteristics (density, organic carbon, calcium carbonate, stable carbon isotopes and sediment grain size) of sediments underneath seagrass meadows and adjacent un-vegetated patches after mooring disturbances in Rottnest Island (Perth, Western Australia). The dataset compiles data on biogeochemical sediment characteristics for a total of 16 cores, 50 cm-long (4 cores from seagrass meadows and 4 cores from adjacent bare sediments at Thompson Bay, and 4 cores from seagrass meadows and 4 cores from adjacent bare sediments at Stark Bay). Enquiries about the dataset may be …