2875 research outputs found
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crude_low_ca_connected_M3
No full textFluid in place: crude
Capillary number: low
Fracture status: connected, M
Replication Data for: Flood Hazard Modeling, Distance to Stream
No full textDistance to Stream was calculated using Euclidean Distance based on the National Hydrography Dataset (NHD) stream and coastline features
Replication Data for: Flood Hazard Modeling, Average Roughness
No full textRoughness values were assigned to each NLCD land cover class using the values suggested by Kalyanapu (2009), and, like KSAT, was averaged across the contributing upstream area for each raster cell for 2016. Kalyanapu, A.J., Burian, S.J. & McPherson, T.N., 2010. Effect of land use-based surface roughness on hydrologic model output. Journal of Spatial Hydrology, 9(2)
Replication Data for: Aerobic Radical Polymerization Mediated by Microbial Metabolism
No full textRaw data used for computing averages, mathematical fits, NMR spectra, microscopy images, polymer characterization data
crude_high_ca_deadend_M2
No full textFluid in place: crude oil
Capillary number: high
Fracture status: disconnected, M
Preliminary report on the M4.9 Earthquake in Culberson-Reeves County Line
No full textOn March 26th, 2020 at 3:16pm (Local Time) an earthquake of ML 4.6 (MW 4.9) occurred in west Texas along the Culberson-Reeves County Line (CRCL). This is a preliminary report on this event
Ecological_Land_Classification_Vegetation_Based
No full textShapefile of the vegetation-based ecological land classification for the Mission River landscape. Each feature in the shapefile represents a distinct landscape patch. The "Ecol_Class" field in the attribute table identifies the ecological class for each feature. The vegetation-based ecological classes are based on the common name vegetation classes from the Ecological Mapping System of Texas and manual digitizing of the geomorphological features. The spatial reference for the data is NAD83 UTM zone 14N
Estado e informe de oficiales reales de México de los productos de pulques en un trienio, sin incluir los de Puebla y su partido, 1770 Noviembre 22
No full textDocument contains an order from Galvez and a response providing information on the pulque industry. —— El documento contiene un mandado de Gálvez y una respuesta con información sobre la industria del pulque. Extent: 6 p
Surface_Water_Connectivity_Network_EdgeLists_SoilClass_ByQ
No full textComma-delimited textfiles of the attribute tables from the edge shapefiles in the spatial representation of the surface-water connectivity network for a given river discharge (Q) when soil patches are used as the landscape patches. Portions of landscape patches that are inundated by surface water are represented as vertices in the network. Patches become connected when the boundary between them is breached by surface water. The Q values considered span the historical record for Mission River and the Q in cubic-meters per second (cms) associated with each landscape patch dataset is in the filename. The attributes in this table are used to construct the edge-lists that are used within the igraph library of the R computing language to construct the graph data structures that form the basis for the topological and algebraic graph analysis.
Relevant attributes in the attribute table are listed below.
src_PID: the unique identifier for the source patch that depicts where the line originates from and this is the first column within the edge-list used in igraph to construct the graph data structures
nbr_PID: the unique identifier for the neighbor patch that depicts which of the neighboring patch the source patches connects to and this is the second column within the edge-list used in igraph to construct the graph data structures
src_c_hm: the river stage at the 08189500 USGS gage needed for a portion of the source patch to become connected to the main channel
nbr_c_hm: the river stage at the 08189500 USGS gage needed for a portion of the neighbor patch to become connected to the main channel
src_lf: the soil classification type associated with the source patch
nbr_lf: the soil classification type associated with the neighbor patch
src_dmean: the mean depth of surface-water inundation for the portion of the source patch that is inundated for the respective Q to which the dataset pertains
nbr_dmean: the mean depth of surface-water inundation for the portion of the neighbor patch that is inundated for the respective Q to which the dataset pertains
src_drng: the range of surface-water inundation depths for the portion of the source patch that is inundated for the respective Q to which the dataset pertains
nbr_drng: the range of surface-water inundation depths for the portion of the neighbor patch that is inundated for the respective Q to which the dataset pertain
Flow Inundation Extents: Landcover +25% Roughness Scenario
No full text Polygon shapefiles that represent flow inundation extents. These extents are derived from water surface elevations from the HEC-RAS 5.0.7 2D hydrodynamic model (Brunner, 2016), and associated with flow stages (1.0 – 11.63m) at 0.25m interval (N=44). These flow stages were output from simulations coincident with the scenario that contains patches that are derived from locations of downed trees expanded by 2.0 m. At these patches, roughness is 25% higher than the roughness that is only associated with land cover, informed by the Ecological Mapping Systems of Texas (Elliott et al. 2014, url: https://tpwd.texas.gov/landwater/land/programs/landscape-ecology/ems/) and calibrated to WSEs found in flood insurance studies (FEMA, 2014), which found an error of 20cm. Only inundation extents that are associated with a depth above 20cm and are connected to the main channel are preserved.
Brunner, G.W. (2016). HEC-RAS: River Analysis System, 2D Modeling User’s Manual Version 5.0. Rep., Hydrological Engineering Center – U.S. Army Corp of Engineers, Davis, CA.
Elliott, L.F., Treuer-Kuehn, A., Blodgett, C.F., True. C.D., German, D. Diamond, D.D. (2014). Ecological System of Texas: 391 Mapped Types, edited by Texas Parks and Wildlife Department and Texas Water Development Board, Austin, TX.
FEMA (2014). Flood Insurance Study: Refugio County, Texas and Incorporated Areas. Rep., 101 pp, Federal Emergency Management Agency, Denton, TX.</p