Physical Sciences and Mathematics Commons^™

Composition And Quantification Of Polycyclic Aromatic Hydrocarbons In Deep-Pelagic Fauna, Cruises Dp01 And Dp02 From May 2015 - August 2015, Isabel C. Romero

DEEPEND Datasets

This data set includes the biological PAH (Polycyclic Aromatic Hydrocarbons) data of target species collected during the DP01 (May 1-8, 2015) and DP02 cruises (August 8-21, 2015) in the Northern Gulf of Mexico. The target fish species include Ceratoscopelus warmingii, Chaulidus spp., Diaphus spp., Argyropelecus spp, Lampanyctus alatus, and Sigma elongatum. Also, analysis of shrimp (Acanthephyra purpurea) and cephalopod (Grimalditeuthis bonplandi, Histioteuthis corona, Japetella diaphana) samples were conducted. PAHs were analyzed following modified EPA method 8270D and QA/QC strict protocols. Detection and quantification of PAHs were performed using a gas chromatograph/mass spectrometric detector (GC/MS/MS).

Cruise Data For Neuston Net And Paired Bongo Net Tows From 48 Stations In The Northern Gulf Of Mexico From R/V Blazing Seven Cruises Lf2015a And Lf2015b June 2015 And July 2015, Jay R. Rooker, R.J. David Wells

DEEPEND Datasets

Shelf and slope waters in the Deep Water Horizon oil spill (DWHOS) area are known to serve as critical spawning, nursery, and foraging habitat of several important oceanic species including billfishes (e.g. blue marlin, white marlin, sailfish), tunas (bluefin tuna, yellowfin tuna), and other pelagic taxa (swordfish, dolphinfishes). The aim of this component was to further investigate potential ecological effects of the DWHOS on pelagic fishes during the early life period. Larval fishes were sampled from 48 stations in the northern Gulf of Mexico and cruise data was collected at each site including latitude/longitude, date, time and environmental data (sea …

Ergot And Loline Alkaloid Concentrations In Endophyte-Infected Tall Fescue Tillers, Rebecca L. Mcculley

Forage Climate Change Experiment Research Data

Approximately 40 tall fescue tillers were randomly collected and frozen from each of the 20 treatment plots.

Tillers were cut at 7.6 cm above ground level and tested for the presence of the Epichloe endophyte using an enzyme-linked immunosorbent assay.

Tillers from each plot were sorted into 'infected' vs 'uninfected' groups, lyophilized, and ground through a 1mm screen using a Cyclotec 1093 mill.

Ground material from the endophyte infected tillers was analyzed for ergot and loline alkaloids in the lab of Lowell Bush at the University of Kentucky, Plant and Soil Sciences Dept.

For details on alkaloid analyses see: McCulley …

A Marine Heat Wave Drives Massive Losses From The World’S Largest Seagrass Carbon Stocks [Dataset], Ariane Arias-Ortiz, Oscar Serrano, Pere Masqué, Paul Lavery, Ute A. Mueller, Gary A, Kendrick, Mohammad Rozaimi, Alba Esteban, James W, Fourqurean, Núrià N. Marbà, Miquel-Angel Mateo, Kathy Murray, Michael Rule, Carlos M. Duarte

Research Datasets

The database compiles published data (in Arias-Ortiz et al., 2018) on biogeochemical characteristics (density, organic carbon, stable carbon isotopes and sediment grain size) of soils underneath seagrass meadows in Shark Bay, Western Australia. Pb-210 concentrations of the first 20 cm are included along with C-14 raw ages. The dataset compiles data for a total of 49 cores, 25 - 300 cm-long (11 cores with Pb-210 and C-14 data). Enquiries about the dataset may be sent to Ariane Arias-Ortiz: ariane.arias@uab.cat

Archived Rock Samples From Jane Selverstone's Research Collection, Jane Selverstone

Earth and Planetary Sciences Faculty and Staff Publications

This Excel spreadsheet lists all of the rock samples from Jane Selverstone's research collection that have been archived into the Earth and Planetary Sciences Collections at the University of New Mexico. All samples are listed by original (published) sample number and by an affiliated International GeoSample Number. Samples are grouped by research project, and doi information is given for all publications resulting from work on each project. Rock samples include various combinations of hand specimens, powders, thin sections, and billets from which thin sections were prepared. Information is included to identify the drawers within which each sample can be found …

Sinatra Living: Budget Justification, University Of Nevada, Las Vegas. Solar Decathlon Team.

Sinatra Living: Competition Materials

This is an Excel document that contains the detailed budget information for the Sinatra Living project.

Greek New Testament For Data Analysis, Keith L. Yoder

Keith L. Yoder

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.

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

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 …

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.

Sweet (Small Wind Energy Estimation Tool), Thomas Woolmington, Keith Sunderland

Other resources

Description:

Generic Wind Energy Estimation Model incorporating Turbulence Intensity.

Requirements:

Manufacturer specific wind turbine characteristic

Mean wind speed at a specific height

Site conditions in terms of TI and Surface Roughness

Disclaimer:

This model has been designed as an estimation tool for estimating the wind power yield of a custom turbine for an idealised set of site conditions for a given year.

While the assumptions that are made in this estimation tool are mathematically plausible they should not in any way be interpreted as an alternative to a real world site assessment.

A list of assumptions to which the model …

Excel Calculator For Assignment/Article "Compound Interest And The Power Of Saving", Richard H. Serlin

Richard H. Serlin

No abstract provided.

Sfa Weather Station - Monthly And Annual Rainfall - 1901-2011, Arthur Temple College Of Forestry And Agriculture, Stephen F. Austin State University

Weather Station Data

Monthly and annual rainfall statistics for the years 1901 to 2011.

Sfa Weather Station - Monthly And Annual Raindays - 1901-2011, Arthur Temple College Of Forestry And Agriculture, Stephen F. Austin State University

Weather Station Data

Monthly and annual raindays for the years 1901 to 2011.

Sfa Weather Station - Monthly And Annual Mean Minimum Air Temperature 1901-2011, Arthur Temple College Of Forestry And Agriculture, Stephen F. Austin State University

Weather Station Data

Monthly and annual mean minimum air temperature statistics for the years 1901 to 2011.

Sfa Weather Station - Maximum Daily Rainfall - 1901-2011, Arthur Temple College Of Forestry And Agriculture, Stephen F. Austin State University

Weather Station Data

Maximum daily rainfall statistics from 1901 to 2011.

Sfa Weather Station - Monthly And Annual Mean Air Temperature - 1901-2011, Arthur Temple College Of Forestry And Agriculture, Stephen F. Austin State University

Weather Station Data

Monthly and annual mean air temperature statistics for the years 1901 to 2011.

Sfa Weather Station - Monthly And Annual Mean Maximum Air Temperature - 1901-2011, Arthur Temple College Of Forestry And Agriculture, Stephen F. Austin State University

Weather Station Data

Monthly and annual mean maximum air temperature for the years 1901 to 2011.

Sfa Weather Station - Daily Rainfall - 1901-2011, Arthur Temple College Of Forestry And Agriculture, Stephen F. Austin State University

Weather Station Data

Daily rainfall statistics for the years 1901 to 2011.

Sfa Weather Station - Minimum Daily Air Temperature - 1901-2011, Arthur Temple College Of Forestry And Agriculture, Stephen F. Austin State University

Weather Station Data

Minimum daily air temperature statistics from 1901 to 2011.

Sfa Weather Station - Maximum Daily Air Temperature - 1901-2011, Arthur Temple College Of Forestry And Agriculture, Stephen F. Austin State University

Weather Station Data

Maximum daily air temperature for the years 1901 to 2011.

Petromode, Eric H. Christiansen

Faculty Publications

PetroMode is an Excel spreadsheet that can be used to (1) calculate the modal composition of a rock given the elemental composition of the rock and (2) calculate the major element mass balance to test the derivation of a daughter liquid by removal of minerals from a parent liquid (fractional crystallization).