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Data for: Mineralogical and Isotopic Constraints on Early, High-Temperature Events and Reservoirs Recorded in the Interior of a Type B Ca-Al-Rich Inclusion from the Reduced CV3 Chondrite Vigarano
No full textData in the manuscript entitled "Mineralogical and Isotopic Constraints on Early, High-Temperature Events and Reservoirs Recorded in the Interior of a Type B Ca-Al-Rich Inclusion from the Reduced CV3 Chondrite Vigarano", by Han J., Park C., Liu M.-C, Matsuda N., Simon J. I., and Keller L. P
3D-printable bilayer-stabilized jammed emulsions as scalable biological tissue mimics
No full textThis dataset contains the extended data for the article "3D-printable bilayer-stabilized jammed emulsions as scalable biological tissue mimics
Black Sea simulations
No full textInput data, simulation scripts, and output files for simulations of natural seep flares in the Black Sea reported in McGinnis et al. (2006)
Replication Data for: Mineral Scale Formation During Crossflow Reverse Osmosis at Constant Flux and Constant Transmembrane Pressure Conditions
No full textMineral scale formation on membrane surfaces is a significant challenge in reverse osmosis water purification. Laboratory fouling experiments are typically run such that the transmembrane pressure (TMP) is fixed, and the permeate flux decreases over time as scales accumulate on the membrane surface. However, this change in flux means that the hydrodynamic conditions at the membrane surface are continuously changing, which could affect crystallization and foulant deposition processes. Operating under constant permeate flux conditions, in contrast, is advantageous because it keeps the hydrodynamic conditions relatively consistent, making it possible to compare how membrane properties (e.g., surface chemistry) affect fouling propensity. Industrial reverse osmosis operations are not run strictly in either constant TMP or constant flux mode; while they may start at a constant TMP, feed pressure may be periodically adjusted to maintain permeate water production within a specified range. The scarcity of constant permeate flux reverse osmosis scaling experiments reported in the literature frustrates efforts to compare membrane fouling processes under constant TMP and constant flux conditions. For the first time, the evolution of the fouling layer resistance was compared as a function of cumulative permeate volume per membrane area during constant TMP and constant flux reverse osmosis filtrations. Scaling experiments were conducted by challenging commercial reverse osmosis membranes with a model feed solution nearly saturated with calcium sulfate dihydrate (gypsum). At low fluxes, the increase in fouling layer resistance was quantitatively similar for the two operational modes. In contrast, at high fluxes, the fouling layer resistance increased more rapidly in constant flux filtration than in constant TMP filtration. The mechanism of scale formation in constant TMP and constant flux operation was self-limiting and self-reinforcing, respectively
Replication Data for:Performance of mobile survey solutions for natural gas pipeline leaks under different soil type and moisture conditions
No full textThis file contains data used in the manuscript "Performance of mobile survey solutions for natural gas pipeline leaks under different soil type and moisture conditions " by Rao et al. (2025). Each tab contains the data used for the corresponding figure as labeled
The effect of health information technology on quality in the emergency department
No full textThis research examines the effect of health information technology on quality in the emergency department
Metric Data on Maya Ball Courts in the Three Rivers Adaptive Region, Holmul area, and Belize River Valley
No full textMetric data on Maya ball courts in the Three Rivers Region, Holmul area, and Belize River Valley compiled from lidar data, published maps, and published reports. This file includes information on methods and limitations, metric data on ball courts, and a bibliography
MAGEC_2024
No full textMAGEC (Magma And Gas Equilibrium Calculator)
Author: Chenguang Sun
Copyright, 2025
This Matlab program calculates the equilibrium distribution of C-H-O-S volatiles (H2, H2O, CO, CO2, CH4, H2S, SO2, S2, COS, O2) in gas-melt coupled systems.
Updates on April 27, 2025:
1. Added additional options for CO2 and H2O solubility models
2. Corrected CO solubility models
If you use this program for your publications, please cite the following references:
1. Sun, C. and Yao, L., 2024. Redox equilibria of iron in low-to high-silica melts: A simple model and its applications to CHOS degassing. Earth and Planetary Science Letters, 638, p.118742. [Note: This is the reference for MAGEC_2024 with new Fe- and S-redox models and flexible setting options.]
2. Sun, C. and Lee, C.T.A., 2022. Redox evolution of crystallizing magmas with CHOS volatiles and its implications for atmospheric oxygenation. Geochimica et Cosmochimica Acta, 338, pp.302-321. [Note: This is the reference for the first version of MAGEC.]
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How to run the program:
1. Input T/P/logfO2 (or Fe3+/FeT) and compositions in the input file (.xlsx).
Make sure you use different names for the input and output files.
The batch data could be polybaric/isobaric/adiabatic degassing.
2. Modify the "settings" in the input file.
3. Open [Run_MAGEC_2024_v2.m] in Matlab
4. Go to [Editor] Tab in Matlab and click [Run] button.
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COI Policy Scoping Review Data Set
No full textThis dataset includes seven tables as described in the dataset snapshot. The data are associated with a scoping review that aimed to examine published, peer-reviewed empirical analyses of policy mechanisms designed to address industry sponsorship of research studies, author industry affiliation, and author conflicts of interest at any stage of the biomedical research process. 6385 articles were screened, and data was extracted for 81 included studies
Equine Odontoplasty Motion Capture Data
No full textVideos were recorded concurrently from multiple calibrated cameras. The Vicon data was collected use a motion capture (MoCap) lab that consisted of 40 cameras. The OpenCap videos were collected utilizing three iOS devices. The videos were processed utilizing the associated OpenCap open-source software, or the Vicon Nexus software. These videos were processed using deep learning models to estimate 3D joint positions and segmental angles without the need for physical markers. The OpenCap videos were compared to the Vicon (or MoCap) data to determine accuracy and precision of OpenCap