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20 results for “San Antonio”
Figuras 1-4. 1 in Revisión bibliográfica del orden Ephemeroptera (Insecta) para Chile y primeros registros de efímeras en las provincias del Tamarugal (Región de Tarapacá), San Antonio y San Felipe de Aconcagua (Región de Valparaíso)
Figuras 1-4. 1. Andesiops sp. en Enrique Meiggs, Llay Llay, Provincia de San Felipe de Aconcagua, Chile. Foto: Bernardo Segura. / Andesiops sp. in Enrique Meiggs, Llay Llay, San Felipe de Aconcagua Province, Chile. Photo: Bernardo Segura. 2. Baetidae sp. en El Convento, Santo Domingo, Provincia de San Antonio, Chile. Foto: Benjamín Silva. / Baetidae sp. in El Convento, Santo Domingo, San Antonio Province, Chile. Photo: Benjamín Silva. 3. Baetidae sp. en Rinconada de Silva, Putaendo, Provincia de San Felipe de Aconcagua, Chile. Foto: Tomás Román de la Fuente. 4. Exuvia de Ephemeroptera sp. en Matilla, San Andrés de Pica, Provincia del Tamarugal, Chile. Foto: Michael Weymann. / 3. Baetidae sp. in Rinconada de Silva, Putaendo, San Felipe de Aconcagua Province, Chile. Photo: Tomás Román de la Fuente. 4. Ephemeroptera sp. exuviae in Matilla, San Andrés de Pica, Tamarugal Province, Chile. Photo: Michael Weymann.
Sand and gravel sediment flux data, San Antonio River, Texas
<p>Dataset consists of field observations of sand and gravel sediment fluxes and bed material in the lower San Antonio River, Texas. A Helley-Smith bedload sampler was deployed at three locations over stream discharges that span two orders of magnitude. Details are given in Haschenburger (2021), Fractional Transport Rates in a Poorly Sorted Sand-bed River, Geomorphology, 389, 107797, https://doi.org/10.1016/j.geomorph.2021.107797</p>
River gravel mobility observations, San Antonio River, Texas
<p>This data set characterizes the frequency of gravel mobility in the lower San Antonio River near Floresville, Kenedy, and Goliad, Texas. Mobility data consist of the first flow discharge when a given gravel size was mobile, the general bedload transport conditions during these mobilizing flows, the frequency of mobilizing flow during in a typical year based on flow duration analysis, and the grain size distribution of bed material. Details are given in Haschenburger (2022), Frequency of river gravel mobility, Geomorphology, 410, 108270, https://doi.org/10.1016/j.geomorph.2022.108270</p>
Nicaragua: Chinandega, Chichigalpa: Ingenio San Antonio, Lat. 12.529444, Long. 87.04528, 1Jan01, col. B. Garcete, (MEL 446081, Macho). in Cicadidae (Homoptera) de Nicaragua: Catalogo ilustrado, incluyendo especies exóticas del Museo Entomológico de Leon
Nicaragua: Chinandega, Chichigalpa: Ingenio San Antonio, Lat. 12.529444, Long. 87.04528, 1Jan01, col. B. Garcete, (MEL 446081, Macho).
Poblado Ibéro de San Antonio CALACEITE (TERUEL)
El poblado está situado en el extremo meridional de la sierra de San Cristóbal, a menos de 1 km. del casco urbano de la localidad de Calaceite. Siglo V al IV a.C. ocupación en la parte más elevada del cerro. Se construyeron en torno a una calle central diversas viviendas de planta rectangular protegidas por una muralla y varios torreones. Siglo III a.C. Ampliación del primitivo núcleo urbano tras la construcción de nuevas alineaciones de viviendas dispuestas en terrazas que fueron rodeadas por una nueva muralla en la que destaca un gran torreón de planta semicircular. Sobre el 200 a.C el yacimiento fue abandonado tras la conquista romana del territorio. +Info : https://www.turismodearagon.com/ficha/san-antonio-y-tossal-redo-calaceite/ Source: Objaverse 1.0 / Sketchfab
University of Texas H.S.C. San Antonio Pioglitazone in Non-Alcoholic Steatohepatitis Trial (UTHSCSA NASH Trial)
ClinicalTrials.gov study NCT00994682. IPD Sharing: Not stated. Countries: 1. Publications: 3.
GIS files corresponding to the Riverine Nitrogen Modeling in the San Antonio and Guadalupe Basin using the NHDPlus v2 Dataset
<p><strong>Corresponding peer-reviewed publication</strong></p> <p>This dataset corresponds to GIS files that were generated in the study published by Journal of American Water Resources Association (JAWRA):</p> <p>Tavakoly, A. A., D. R. Maidment, J. W. McClelland, T. Whiteaker, Z.-L. Yang, C. Griffin, and C. H. David (2016), "A GIS Framework for Regional Modeling of Riverine Nitrogen Transport: Case Study, San Antonio and Guadalupe Basins”, Journal of the American Water Resources Association, Journal of the American Water Resources Association (JAWRA) 52(1):1-15. DOI: 10.1111/1752-1688.12355</p> <p><em>Please cite the aforementioned article and the dataset herein, when using of any of these files in this dataset.</em></p>
San Antonio De Padua
Figura metálica de San Antonio de Padua Source: Objaverse 1.0 / Sketchfab
Porche San Antonio, Lorca.
Source: Objaverse 1.0 / Sketchfab
Indicators for quantifying and classifying future water supply infrastructure scenarios in waterbodies surrounding San Antonio within Bexar County, Texas
Indicators for quantifying and classifying future water supply infrastructure scenarios in waterbodies surrounding San Antonio within Bexar County, Texas
Assessing the Impacts of Super Storm Flooding in the Transportation Infrastructure – Case Study: San Antonio, Texas
<p>Corresponding data set for Tran-SET Project No. 18HSTSA02. Abstract of the final report is stated below for reference:</p> <p>"Flooding are likely to increase worldwide due to climate change. Large storms, referred here as superstorms, defined as events with return period equal or larger than 100 years, can lead to an increase of property damages and loss of life. The ability to predict and plan for the impacts of superstorms on transportation infrastructure is key to mitigate future damages and losses. This study analyzed 51 combinations of future projections for representative concentration pathways (RCP) 4.5 and 8.5 scenarios, which were used to calculate future 1st and 3rd quartiles, median, minimum and maximum intensity-duration-frequency curves (IDF). A HEC-HMS and GSSHA models were built for Leon Creek and Upper San Antonio watersheds. HEC-RAS 1D and 2D were used to evaluate flooding in 20 bridges and the extent of flooded area and roads in both watersheds and to test flood control scenarios. Land use modification with 5, 10 and 15% of LID areas in the watersheds were simulated. The use of levees and altering channels were evaluated. In addition, we evaluated how an increasing the storage capacity of the Olmos Dam would contribute to reduce flood impacts downstream. Results show that the 3rd quartile of projected IDF is closest to the one originated with observed precipitation, which is likely to increase in the future. The near future (2025-2049) under RCP 4.5 scenario presented the greatest increase in intensity. HEC-HMS models showed that discharge peak will increase for all future periods under both scenarios, for the 100- and 500-years storms. Flood projections generated by GSSHA for 100- and 500-years and future precipitation showed that flooded area can increase significantly. For instance, the increase in flooded roads can be more than 80% in near future for 500-year storm in Leon Creek watershed. HEC-RAS analysis showed that all 20 analyzed bridges can be flooded with 500-years storm with climate change and 15 with the 100-year storm. Simulation showed that LID implementation and the elevation of the Olmos Dam’s crest were ineffective to protect transportation infrastructure. Enhancing cross-sections of the main channels and the use of levees can mitigate the impact in some bridges. This study illustrates the need for updates in the design criteria of current and future transportation infrastructure."</p>
Figure 3 from: Villares G, Lo Russo V, Pastor de Ward C, Milano V, Miyashiro L, Mazzanti R (2016) Free-living marine nematodes from San Antonio Bay (Río Negro, Argentina). ZooKeys 574: 43-55. https://doi.org/10.3897/zookeys.574.7222
Figure 3 - San Antonio Bay, Argentina. Views from the sampling sites. A "Ciudad" B, C "Baliza Camino" D "Banco Perdices".
Figure 2 from: Villares G, Lo Russo V, Pastor de Ward C, Milano V, Miyashiro L, Mazzanti R (2016) Free-living marine nematodes from San Antonio Bay (Río Negro, Argentina). ZooKeys 574: 43-55. https://doi.org/10.3897/zookeys.574.7222
Figure 2 - Spatial coverage. San Antonio Bay, Argentina. Sites: A "Ciudad" B "Baliza Camino" C "Banco Perdices". Levels = u, m, l..
Urology San Antonio MRI/MicroUS Comparison
ClinicalTrials.gov study NCT03762616. IPD Sharing: NO. Countries: 1. Publications: 0.
San Antonio Seagrass - RGB (June 27 2024)
<p>This orthomosaic of San Antonio, Saipan was created from 770 images taken on June 27 2024, at 370 ft AGL, with a M350. The mission was planned using the DJI Pilot application and post-processed using DroneDeploy. </p> <p>This project was made possible through funding by the following grant(s): NASA Guam EPSCoR (80NSSC22M0052), NASA Guam Space Grant (80NSSC20M0039 / UH Subaward: MA1550), and PI-CASC (G19AC00087)."</p>
Figure 1 from: Villares G, Lo Russo V, Pastor de Ward C, Milano V, Miyashiro L, Mazzanti R (2016) Free-living marine nematodes from San Antonio Bay (Río Negro, Argentina). ZooKeys 574: 43-55. https://doi.org/10.3897/zookeys.574.7222
Figure 1 - Taxonomic coverage by class, order and family.
Assessment of the Implementation of the ResQGARD® Impedance Threshold Device by the San Antonio Fire Department
ClinicalTrials.gov study NCT01780350. IPD Sharing: Not stated. Countries: 0. Publications: 0.
Diabetes and Cardiovascular Risk In Mexico City (San Antonio Heart Study)
ClinicalTrials.gov study NCT00005146. IPD Sharing: NO. Countries: 0. Publications: 181.
San Antonio (SATX) Ground-based Vector Magnetic Field (L2) 0.5 s Data
San Antonio, TX, Ground-based Vector Magnetic Field Level 2 Data, 0.5 s Time Resolution, Station Code: (SATX), Station Location: (GEO Latitude 29.4, Longitude 261.4), McMAC Network
Pediatric solid tumor PDXs (UTHSA - UT Health San Antonio, 2023)
The pediatric solid tumor PDX cohort comprised both Patient Tumor (PT) and PDX tumor from 14 Wilms tumors, 13 hepatoblastomas, 12 osteosarcomas, 10 germ cell tumors, and 19 others solid tumors.
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.