Financial overview and grant giving statistics of The University of Texas Rio Grande Valley Foundation

Financial overview and grant giving statistics of Rio Grande Valley Partnership Foundation

Historical Dataset of Ami Kids Rio Grande Valley (Fka Rgmi) is provided by PublicSchoolReview and contain statistics on metrics:Total Students Trends Over Years (2009-2023),Total Classroom Teachers Trends Over Years (2009-2023),Distribution of Students By Grade Trends,Student-Teacher Ratio Comparison Over Years (2009-2023),Hispanic Student Percentage Comparison Over Years (2009-2023),Black Student Percentage Comparison Over Years (2009-2021),White Student Percentage Comparison Over Years (2008-2023),Diversity Score Comparison Over Years (2009-2023),Reading and Language Arts Proficiency Comparison Over Years (2013-2019),Math Proficiency Comparison Over Years (2012-2019),Overall School Rank Trends Over Years (2013-2019)

FBI National Incident-Based Reporting System (FBI NIBRS) crime data for University of Texas: Rio Grande Valley (University or College) in Texas, including incidents, statistics, demographics, and detailed incident information.

Historical Dataset of Triumph Public High Schools-Rio Grande Valley is provided by PublicSchoolReview and contain statistics on metrics:Comparison of Diversity Score Trends,Total Revenues Trends,Total Expenditure Trends,Average Revenue Per Student Trends,Average Expenditure Per Student Trends,Reading and Language Arts Proficiency Trends,Math Proficiency Trends,Science Proficiency Trends,Graduation Rate Trends,Overall School District Rank Trends,Hispanic Student Percentage Comparison Over Years (2003-2023),Black Student Percentage Comparison Over Years (2002-2010),White Student Percentage Comparison Over Years (2000-2023),Comparison of Students By Grade Trends

Financial overview and grant giving statistics of Rio Grande Valley Read And Feed Rgv Read And Feed

This dataset includes flood maps used to evaluate communication effectiveness with both public and agency groups as part of the LRGV study related to coastal flood modeling communication funded by the Texas Water Development Board via the TIFF program. Recommended citations included with each data resource entry.

Map of Mesilla Valley showing, showing channel of the Rio Grande River of an unknown date.. Scale 1 inch - 1 mile.

Map of Mesilla Valley showing 1881 Rio Grande River channel. Scale 1 inch - 1 mile.

Map of Mesilla Valley showing 1844 Rio Grande River channel. Scale 1 inch - 1 mile.

This dataset provides information about the number of properties, residents, and average property values for Rio Grande Drive cross streets in Moreno Valley, CA.

Financial overview and grant giving statistics of Rio Grande Valley Linking Economic and Academic Development Rgv Lead

The file “Texas Data Series 11-14.xlsx” contains field data from breeding plots in the later stage off station farms were used for this study. This included approximately 20-25 experimental genotypes from USDA-ARS at Canal Point (CP and CPCL), USDA-ARS Houma (Ho), Louisiana State University (L), Ho genotypes crossed at Canal Point (HoCP) and 2 check cultivars that were planted at 4-5 locations, and 2 check cultivars that were planted at 4-5 locations. These were planted in 4 planting series (2011 – 2014, hereafter, named as Series 11 to 14 (SERIES)) based on when the clones were received with 3 crops (plant cane-second ratoon) each except 2011 which had 4 crop cycles (plant cane-third ratoon). The years evaluated were 2015-2020. Field trial plantings, harvest and yield data were done according to Todd et al. (2019). Yield data included cane yield or tons cane per acre (TCA), sugar yield or tons sucrose per acre (TSA), and sucrose content or commercially recoverable sucrose or pounds of sucrose per ton of cane (CRS). Each planting series had unique sets of genotypes and locations, so analysis was done by series.The file “Texas Ratooning data series 11-14” Utilized the same data as in “Texas Data Series 11-14.xlsx” but created the ratooning index for each yield component according to Dlamini et. al (2024).The results from this study are in Todd et al. (In press.)Dlamini NE, Franke AC, Zhou M (2024) Indices for measuring ratooning ability of sugarcane varieties. Crop Sci 64:667–677. DOI: 10.1002/csc2.21191Todd JR, Hale AL, Pan Y.-B., Tew TL, Milligan SB, Dufrene Jr EO, Duet Jr MJ, Verdun DL, Landry CJ, Grisham MP, Comstock JC (2019) Registration of ‘HoCP 11‐537’ Sugarcane. J of Plant Regis 13(2):187-192Todd JR, Arbelo OC, Hale AL, Pan Y-B, Dufrene EO, Jr, Verdun D., Momotaz A, Kimbeng CA, Waguespack HL, Jr., Scott, AW Jr., Hernandez E, and Klostermann M. () Sugarcane Genotype by Environment interaction (G × E) in Clonal Trials in the U.S. Texas Rio Grande Valley. Euphytica

The South Texas Early Prevention Study-PreK, a cluster randomized trial, explored the Bienestar Coordinated School Health Program’s influence on health variables in South Texas children. Factors associated with food insecurity (FI) were analyzed. Income-to-poverty ratio, income, and food assistance (FA) program participation were all associated with FI. Forty percent of families (257/643) reporting FI did not utilize FA. Of those families with FI, but who reported no FA participation, 31.8% were FA eligible. Families experiencing FI may underutilize FA programs, despite eligibility. Curtailing obstacles preventing FA program participation and matching those who are eligible with FA programs are crucial.

Rio Grande Valley Duty Free Export Import Data. Follow the Eximpedia platform for HS code, importer-exporter records, and customs shipment details.

This dataset includes tables of He-isotopic data used to calculate surface exposure ages for samples of basalt, and U- and Th-isotopic data used to calculate uranium-series age estimates (230Th/U method) and initial 234U/238U activity ratios for samples of pedogenic carbonate formed in soils on alluvial fans in the San Luis Valley, Colorado, USA.

Timeseries data from 'RIO GRANDE VALLEY, TX (KHRL)' (gov_noaa_awc_khrl) cdm_data_type=TimeSeries cdm_timeseries_variables=station,longitude,latitude contributor_email=feedback@axiomdatascience.com contributor_name=Axiom Data Science contributor_role=processor contributor_role_vocabulary=NERC contributor_url=https://www.axiomdatascience.com Conventions=IOOS-1.2, CF-1.6, ACDD-1.3, NCCSV-1.2 defaultDataQuery=wind_speed_qc_agg,wind_speed_of_gust_qc_agg,wind_speed_of_gust,air_pressure_at_mean_sea_level,visibility_in_air,wind_from_direction,air_temperature_qc_agg,wind_from_direction_qc_agg,air_temperature,air_pressure_at_mean_sea_level_qc_agg,dew_point_temperature_qc_agg,z,wind_speed,time,visibility_in_air_qc_agg,dew_point_temperature&time>=max(time)-3days Easternmost_Easting=-97.65 featureType=TimeSeries geospatial_lat_max=26.233 geospatial_lat_min=26.233 geospatial_lat_units=degrees_north geospatial_lon_max=-97.65 geospatial_lon_min=-97.65 geospatial_lon_units=degrees_east geospatial_vertical_max=0.0 geospatial_vertical_min=0.0 geospatial_vertical_positive=up geospatial_vertical_units=m history=Downloaded from NOAA National Weather Service (NWS) at https://aviationweather.gov/data/metar/?id=KHRL id=118979 infoUrl=https://sensors.ioos.us/#metadata/118979/station institution=NOAA National Weather Service (NWS) naming_authority=com.axiomdatascience Northernmost_Northing=26.233 platform=fixed platform_name=RIO GRANDE VALLEY, TX (KHRL) platform_vocabulary=http://mmisw.org/ont/ioos/platform processing_level=Level 2 references=https://aviationweather.gov/data/metar/?id=KHRL,https://aviationweather.gov/data/metar/?id=KHRL, sourceUrl=https://aviationweather.gov/data/metar/?id=KHRL Southernmost_Northing=26.233 standard_name_vocabulary=CF Standard Name Table v72 station_id=118979 time_coverage_end=2025-12-03T12:52:00Z time_coverage_start=2022-07-11T20:52:00Z Westernmost_Easting=-97.65

This study originated with the objective of parameterizing riparian evapotranspiration (ET) in the water budget of the middle Rio Grande of New Mexico. We hypothesized that flooding and invasions of non-native species would impact the ecosystem's use of water. Our objectives were to measure and compare the ET of native (Rio Grande cottonwood, Populus deltoides ssp. wizleni) and non-native (saltcedar, Tamarix chinensis, Russian olive, Eleagnus angustifolia) bosque (woodland) communities and to evaluate how water use is affected by climatic variability resulting in high river flows and flooding as well as drought conditions and deep water tables. This data set contains water table levels monitored at nine sites along the Rio Grande riparian corridor between Albuquerque and Bosque del Apache National Wildlife Refuge. Data date to 1999. Two sites remain active and are well into their second decade of monitoring. One is in a xero-riparian, non-flooding, saltcedar woodland within the Sevilleta National Wildlife Refuge. The other is in a dense, monotypic saltcedar thicket at the Bosque del Apache NWR that is subject to flood pulses associated with high river flows.

Financial overview and grant giving statistics of Rio Grande Valley Down Syndrome Association

The Rio Grande Valley (RGV) in South Texas has one of the highest prevalence of obesity and type 2 diabetes (T2D) in the United States (US). We report for the first time the T2D prevalence in persons with HIV (PWH) in the RGV and the interrelationship between T2D, cardiometabolic risk factors, HIV-related indices, and antiretroviral therapies (ART). The PWH in this study received medical care at Valley AIDS Council (VAC) clinic sites located in Harlingen and McAllen, Texas. Henceforth, this cohort will be referred to as Valley AIDS Council Cohort (VACC). Cross-sectional analyses were conducted using retrospective data obtained from 1,827 registries. It included demographic and anthropometric variables, cardiometabolic traits, and HIV-related virological and immunological indices. For descriptive statistics, we used mean values of the quantitative variables from unbalanced visits across 20 months. Robust regression methods were used to determine the associations. For comparisons, we used cardiometabolic trait data obtained from HIV-uninfected San Antonio Mexican American Family Studies (SAMAFS; N = 2,498), and the Mexican American population in the National Health and Nutrition Examination Survey (HHANES; N = 5,989). The prevalence of T2D in VACC was 51% compared to 27% in SAMAFS and 19% in HHANES, respectively. The PWH with T2D in VACC were younger (4.7 years) and had lower BMI (BMI 2.43 units less) when compared to SAMAFS individuals. In contrast, VACC individuals had increased blood pressure and dyslipidemia. The increased T2D prevalence in VACC was independent of BMI. Within the VACC, ART was associated with viral load and CD4+ T cell counts but not with metabolic dysfunction. Notably, we found that individuals with any INSTI combination had higher T2D risk: OR 2.08 (95%CI 1.67, 2.6; p < 0.001). In summary, our results suggest that VACC individuals may develop T2D at younger ages independent of obesity. The high burden of T2D in these individuals necessitates rigorously designed longitudinal studies to draw potential causal inferences and develop better treatment regimens.