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Vaginal microbiota and interferon-stimulated genes in lactating dairy cows during maternal recognition of pregnancy
No full textRaw sequencing dat
How Safe Are TXST Bobcats?: Analyzing Crime Trends & Influencing Factors in San Marcos
No full textDuring faculty interviews, one of the most common questions to the hiring committee is “How safe is the school community?” Nearly all potential students, (especially international students), prospective faculty, consider the safety of the university community before making their final decision. The crime rate at Texas State University (TXST) therefore has significant implications for the safety, well-being, and overall experience of the Bobcat’s educational community. Understanding crime trends, underlying factors, and their consequences is crucial for developing effective policies and interventions to increase student population and attract more top-notch faculty members
Data and scripts for "Circadian rhythms in microglia mediate early life synaptic development in a sex-specific manner."
No full textData and scripts for "Circadian rhythms in microglia mediate early life synaptic development in a sex-specific manner." Data and scripts authored by Brandy Routh (2025-09-30
Survey Locations for Mexican Spotted Owl
No full textLocation data where Audio Recording Units were located to passively sample for Mexican spotted owls in the Trans Pecos region of Texas
Replication Data for: "Global maps of transcription factor properties reveal threshold-based formation of DNA-bound and mobile clusters"
No full textData for the paper: "Global maps of transcription factor properties reveal threshold-based formation of DNA-bound and mobile clusters
Medically Tailored Groceries and Food Resource Coaching
No full textProject description: People with lower income face barriers to managing chronic diseases, such as food, housing, and economic insecurity, resource scarcity, and uncertainty around what foods meet dietary needs. Medically tailored groceries (MTG) address some barriers by providing direct access to food tailored to manage a patient's medical condition. Food resource coaching (Coach) can also address additional barriers. A food resource coach supports a patient in learning healthy eating habits when faced with financial challenges by leveraging all available food resources. For example, a coach may teach the patient how to meal plan and shop at nearby stores to improve eating patterns. Providing medically tailored groceries and food resource coaching (MTG + Coach) concurrently through a free community food market may address multiple barriers to nutrition promoting behavior change and maximize the long-term potential of Food is Medicine interventions. In this study, the investigators will recruit and enroll 210 patients of a local safety-net health center with at least one diet-related chronic condition in a randomized controlled trial. Patients will be screened for chronic diseases and income eligibility at the clinic and invited to enroll if eligible. Those who enroll will be randomized to receive MTG from a free co-located food market for 4 months (intervention 1), MTG + Coach (intervention 2) or free food from the market for 4 months (control). MTG + Coach will meet individually with a food resource coach to select MTG from the market inventory of nutritious options, discuss goals related to food and finances, and receive resources for budget management. Control can select the same amount of food from the market but will not receive tailored recommendations or interact with a coach. Feasibility, adherence, and nutritional quality of foods selected will be assessed with administrative data collected by the study team and market.
Data description: Diagnoses (HBP, T2D, Dyslipidemias), clinical measures for those with data available, diet (MINI-EAT), UCLA loneliness, etc
NSF COLDEX Level1B GPS/IMU derived post processed aircraft trajectories
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NSF COLDEX GPS/IMU Level 1B Airborne Position and Attitude Solutions
These data are results processed using Hexagon | NovAtel's Waypoint Inertial Explorer, a GUI
environment for performing joint Inertial Measurement Unit (IMU) / Global Positioning System (GPS)
kinematic position and attitude solutions. The raw data used for creating these solutions is at Young et al., 2025 [USAP-DC] . Manual steps included cutting out bad portions of data and removing bad GPS satellite range information. Only the US GPS constellation of satellites was used.
Two types of solution are provided.
wpt1 solutions are produced by jointly processed IMU rotation rate and acceleration data with GPS
data using a Kalman filter to produce an internally consistent position and aircraft attitude solution at the
center of the IMU unit at a rate of 50 Hz. Loosely coupled solutions first perform kinematic precise point
positioning (PPP) solving the GPS range data for 1 Hz positions, and then fit the IMU data to interpolate
positions and find attitude. Tightly coupled solutions incorporate the IMU data into the position solutions.
Accuracies are typically on the order of a few cm.
wpt2 solutions only have the PPP position solution, and provide redundancy in the case of an IMU issue.
These produce data at the rate of the GNSS receiver (typically 1–2 Hz).
Files have the following name convention:
SEASON_PLATFORM_FLIGHT_PROCESSING.wpt#
Here the SEASON is either CXA1 (the 2022–23 NSF COLDEX airborne season) or
CXA2 (the 2023–24 NSF COLDEX airborne season); the PLATFORM is the GNSS
antenna/receiver combination; the FLIGHT is the flight number within the season; and the
PROCESSING is either LCPPP (loosely coupled with PPP), TCPPP (tightly
coupled with PPP), or PPP (PPP only). Some flights have multiple files due to system restarts;
other files span multiple flights due to short turn around between flights.
A file called POS_timelimits.csv contains the start and end time of each file in seconds with respect to the UNIX epoch.
The files are in the form of tables with headers and footers delimited with the # character.
Column names are internally defined.
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