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    2875 research outputs found

    Thalamus-UVA excitotoxic lesion

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    Song data from Trusel et al., Nature 2025, thalamus-UVA excitotoxic lesio

    IPEDS Enrollment Data_2019-2024

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    This dataset has been compiled from publicly accessible data. The dataset contains information regarding student enrollment at institutions of higher education in the U.S. The dataset contains data from institutions that submitted data to the National Center for Education Statistics (NCES)

    Closing the Loop: Industrial Water Reuse for San Marcos

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    Datathon Project, For further information and validation Github:https://github.com/sudeev157-afk/DataPie-202

    Thalamus ChRmine data

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    Song data from Trusel et al., Nature 2025, Thalamus ChRmine dat

    A new temperature-dependent liquid water refractive index compilation and associated MATLAB code of KK analysis

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    The data produced in the work "Enhanced Full Spectral Temperature-Dependent Refractive Index of Liquid Water from Supercooled to Ambient Conditions" to be submitted to Geophysical Research Letters

    The Illusion of Connectivity: Quantifying the Hidden Safety Gaps Facing San Marcos Cyclists

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    This study investigates the disparity between mapped infrastructure and the on-the-ground reality of the student commute. By analyzing the interplay between traffic physics (Level of Traffic Stress), infrastructure continuity, and nighttime visibility, we quantified the "invisible" risks that standard planning documents overloo

    Reconciling Approximate ODEs and Noisy Data Using Theory of Functional Connections_v0

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    The dataset includes the code and associated data developed for the manuscript titled "Reconciling Approximate ODEs and Noisy Data Using Theory of Functional Connections". The script includes application of Theory of Functional Connections to an ODE representing the time evolution of soil moisture and data extrapolated from satellite measurements (NASA SMAP L4 data product)

    NSF COLDEX Basal Unit maps derived from delay Doppler proccessing

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    The geotiff files in this dataset are maps of the transect based data included as *.gmt files with the delay Doppler profiles in “NSF COLDEX Delay Doppler Radar Profiles of Southern Dome A, Antarctica”. . Ice thicknesses from the [NSF COLDEX compilation](https://doi.org/10.18738/T8/M77ANK) were used for reference, and a two-way speed of light in ice used was 84.5 m/microsecond. GMT 6.2 was used to generate these files with the following steps: gmt blockmedian with a cell size of 5000 meters gmt surface with a cell size of 1000 meters and a tension factor of 0.35 gmt grdmask with a search radius of 10000 meters The files include: srf.xyz_val.tiff: time delay to the surface [microseconds] basal_depth.xyz_val.tiff: thickness to the base of the specular englacial unit [m] basal_thk.xyz_val.tiff: thickness of the basal unit [m] dsz_delay.xyz_val.tiff: time delay to 1 microsecond into scattering basal unit [microseconds] dsz_power: signal to noise ratio of the echos in the basal unit [dB] gradient.xyz_val.tiff: slope of the transition at the base of the specular englacial unit [dB/microsec] Files are in the Antarctic Polar Stereographic projection (ESPG 3031) with X and Y units of meters. Browse PNG files are also included. The following transects were excluded due to electromagnetic interference issues: CLX/MKB2m/X48a CLX/MKB2m/X53a CLX/MKB2n/R40a CLX/MKB2n/R48a CLX/MKB2n/R52a CLX/MKB2n/R54a CLX/MKB2n/R54b CLX/MKB2n/R68a CLX/MKB2n/R70a CLX/MKB2n/R72a CLX/MKB2n/X33a CLX/MKB2n/X38a CLX/MKB2n/X43a CLX/MKB2n/X53b CLX/MKB2n/X58a CLX/MKB2n/X63a CLX/MKB2o/R77a NPXE/MKB2o/R55a </div

    San Marcos Grocery Store Locations

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    Shapefile depicting grocery store locations within the city of San Marcos, TX. Created and provided by City of San Marcos's GIS team

    Texas County Aging Infrastructure Preparedness Dataset (SNF & HHA Supply vs. 65+ Population), 2026

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    County-level dataset measuring healthcare infrastructure preparedness for aging populations across Texas. The dataset integrates CMS Public Use Files (Skilled Nursing Facilities and Home Health Agencies) with U.S. Census American Community Survey 2019–2023 5-year estimates. Preparedness is operationalized as provider density per 10,000 residents age 65 and older. Counties are classified into four tiers: Zero Providers (Eligible), Lowest Quartile Density, Upper 75% Density, and Not Ranked (<1,000 residents age 65+). The dataset supports spatial, demographic, and policy analysis of healthcare infrastructure alignment relative to aging population demand

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