10 Works

Indoor air quality in new and renovated low‐income apartments with mechanical ventilation and natural gas cooking in California

Haoran Zhao, Wanyu Chan, Sebastian Cohn, William W. Delp, Iain S. Walker & Brett C. Singer
This study presents pollutant concentrations and performance data for code-required mechanical ventilation equipment in 23 low-income apartments at 4 properties constructed or renovated 2013-2017. All apartments had natural gas cooking burners. Occupants pledged to not use windows for ventilation during the study but several did. Measured airflows of range hoods and bathroom exhaust fans were lower than product specifications. Only eight apartments operationally met all ventilation code requirements. Pollutants measured over one week in each...

Impacts of Mixed-Wettability on Brine Drainage and Supercritical CO2 Storage Efficiency in a 2.5-D Heterogeneous Micromodel

Chun Chang, Timothy Kneafsey, Jiamin Wan, Tetsu Tokunaga & Seiji Nakagawa
Geological carbon storage (GCS) involves unstable drainage processes that affect CO2 storage efficiency and plume distribution. Drainage is greatly complicated by the mixed-wet nature of rock surfaces common in hydrocarbon reservoirs where supercritical CO2 (scCO2) is used in enhanced oil recovery. We performed scCO2 injection (brine drainage) experiments at 8.5 MPa and 45 °C in heterogeneous micromodels, two mixed-wet with varying water- and intermediate-wet patches, and one water-wet. The flow regime changes from capillary fingering...

Data from: Indoor air quality in California homes with code-required mechanical ventilation

Wanyu Chan, Yang-Seon Kim, William Delp, Iain Walker & Brett Singer
Data were collected in 70 detached houses built in 2011-2017 in compliance with the mechanical ventilation requirements of California’s building energy efficiency standards. Each home was monitored for a one-week period with windows closed and the central mechanical ventilation system operating. Pollutant measurements included time-resolved fine particulate matter (PM2.5) indoors and outdoors and formaldehyde and carbon dioxide (CO2) indoors. Time-integrated measurements were made for formaldehyde, NO2 and nitrogen oxides (NOX) indoors and outdoors. Operation of...

Current limits on determination of protonation state using neutron macromolecular crystallography

Dorothee Liebschner
Neutron diffraction is a technique used to locate hydrogen and and deuterium atoms at medium data resolution in macromolecular structures. Typically, the structures are not determined de novo; instead, the structure has been previously determined with X-ray diffraction. The Protein Data Bank (PDB) was parsed to find homologue models for all neutron structures. The data table lists PDB IDs for X-ray structures that are similar to neutron models deposited in the PDB (as of October...

High-throughput Synthesis and Transformations of CsPbBr nanocrystals characterized by UV-Vis Absorption and Fluorescence

Jakob C Dahl, Xingzhi Wang, Emory M. Chan & A. Paul Alivisatos
These experiments are a dataset of absorption and photoluminescence emission spectra of cesium lead bromide nanocrystals synthesized under different conditions, published as a companion dataset for “Elucidating the Weakly Reversible Cs-Pb-Br Perovskite Nanocrystal Reaction Network with High-Throughput Maps and Transformations” (https://doi.org/10.1021/jacs.0c04997). It also includes deconvolution of the absorption and emission spectra and other calculations, and a notebook including the deconvolution algorithm and some helpful visualization code.

Automating the interpretation of PM2.5 time-resolved measurements using a data-driven approach

Wanyu Chan, Hao Tang & Michael Sohn
The rapid development of automated measurement equipment enables researchers to collect greater quantities of time-resolved data from indoor and outdoor environments. The interpretation of the resulting data can be a time-consuming effort. This dataset contains the R code and time-resolved indoor and outdoor PM2.5 data to illustrate a machine learning approach called Random Forest (RF). The method is used to study a dataset of 836 emission events that occurred over a two-week period, each in...

Preservation of erniettomorph fossils in clay-rich siliciclastic deposits from the Ediacaran Wood Canyon Formation, Nevada

James Hall, Emmy Smith, Nobumichi Tamura, Sirine Fakra & Tanja Bosak
Three-dimensionally preserved Ediacaran fossils occur globally within sandstone beds. Sandy siliciclastic deposits of the Ediacaran Wood Canyon Formation (WCF) in the Montgomery Mountains, Nevada, contain two taphomorphs of erniettomorphs, soft-bodied organisms with uncertain taxonomic affinities. One taphomorph exhibits mm-scale ridges and a distinct lower boundary, the other is devoid of these diagnostic features but is similar in size and shape. We explore the cast-and-mould preservation of both taphomorphs by petrography, Raman spectroscopy, X-ray fluorescence microprobe,...

Simplified Green-Ampt model, imbibition-based estimates of permeability, and implications for leak-off in shale reservoirs

Tetsu Tokunaga
Predicting water imbibition into porous materials is important in a wide variety of fields, yet is often challenging because of uncertainties in both the permeability and capillary pressure driving force. Here, this uncertainty is reduced through evaluating correlations between the permeability and the effective capillary pressure associated with the wetting front, Pc,f. These correlations allow elimination of Pc,f from the Green and Ampt equation, and concentrates all uncertainties in fluxes on the effective permeability k....

Results of high-performance computing parameter sweeps associated with the Zimbabwe agro-pastoral management model

M.V. Eitzel, Jon Solera, K.B. Wilson, Kleber Neves, Aaron Fisher, André Veski, Oluwasola Omoju, Abraham Mawere Ndlovu & Emmanuel Mhike Hove
This dataset includes all the results of the model runs used to explore the parameters in the Zimbabwe Agro-Pastoral Management Model, archived at ComSES.net (https://doi.org/10.25937/ta23-sn46). This model has been created with and for the researcher-farmers of the Muonde Trust (http://www.muonde.org/), a registered Zimbabwean non-governmental organization dedicated to fostering Indigenous innovation. The results in this dataset were generated using the BehaviorSpace functionality in NetLogo, running headless on a high-performance computing cluster (499,200 runs). The dataset includes...

Thermal pressure in the laser heated diamond anvil cell: a quantitative study and implications for the density vs. mineralogy correlation of the mantle

Ethan Yen, Quentin Williams & Martin Kunz
Thermal pressure is an inevitable thermodynamic consequence of heating a volumetrically constrained sample in the diamond anvil cell. Its possible influences on experimentally determined density-mineralogy correlations are widely appreciated, yet the effect itself has never been experimentally measured. We present here the first quantitative measurements of the spatial distribution of thermal pressure in a laser heated diamond anvil cell (LHDAC) in both olivine and AgI. The observed thermal pressure is strongly localized and closely follows...

Registration Year

  • 2020
    10

Resource Types

  • Dataset
    10

Affiliations

  • Lawrence Berkeley National Laboratory
    10
  • University of California, Santa Cruz
    2
  • Wichita State University
    1
  • Johns Hopkins University
    1
  • University of California, Berkeley
    1
  • Chongqing University
    1
  • Federal University of Rio de Janeiro
    1
  • Massachusetts Institute of Technology
    1
  • Tallinn University of Technology
    1
  • CollegeAmerica
    1