481 to 490 of 750 Results
May 16, 2020 - Ziming_Ke_Wildfire_Plumes
Ke, Ziming, 2020, "Replication Data for: wildfire_plume_heights_paper1", https://doi.org/10.18738/T8/68P70B, Texas Data Repository, V1
data includes the codes for cesm1 and codes for 1D plume-rise model |
May 16, 2020
Data related to the wildfire plume height study |
May 15, 2020 - Huilin Gao Dataverse
Gao, Huilin; Zhao, Gang, 2019, "Global Reservoir Surface Area Dataset (GRSAD)", https://doi.org/10.18738/T8/DF80WG, Texas Data Repository, V3
This dataset contains the time series of area values for 6817 global reservoirs (with an integrated capacity of 6099 km3) generated from 1984 to 2015. It was based on the dataset by Pekel et al. (2016), with the contaminations from clouds, cloud shadows, and terrain shadows corre... |
May 15, 2020 - Huilin Gao Dataverse
Gao, Huilin, 2020, "Hydropower reservoir data in the CONUS", https://doi.org/10.18738/T8/HZQQWH, Texas Data Repository, V1
This dataset contains reservoir elevation, area, storage, and evaporartion data |
May 14, 2020 - Ajinkya Deshpande Dataverse
Deshpande, Ajinkya, 2020, "Wetlands_sap flow", https://doi.org/10.18738/T8/UCJLHJ, Texas Data Repository, V1
Raw sap flow and climate data for the journal Wetlands |
May 13, 2020 - Huilin Gao Dataverse
Gao, Huilin, 2020, "Global Reservoir Bathymetry Dataset", https://doi.org/10.18738/T8/TO5HJG, Texas Data Repository, V1
This dataset contains the high resolution 3D bathymetry of 347 global reservoirs, which represents 50% of the overall global storage capacity. It also provides the Area-Elevation (A-E) and Elevation-Volume (E-V) relationships for these reservoirs. |
May 13, 2020 - Lyndon B. Johnson National Grasslands Evapotranspiration Partitioning Study
Adkison, Christopher, 2020, "Thermal Dissipation Sap Flow Sensor Baseline Corrections", https://doi.org/10.18738/T8/YZXUVP, Texas Data Repository, V1
This dataset contains spreadsheets with pre- and post-processed voltage differences from thermal dissipation sap flow sensors collected by a CR1000 datalogger. Voltage differences underwent a baseline smoothing process using daily minimum vapor pressure deficit and daily precipit... |
May 13, 2020 - Lyndon B. Johnson National Grasslands Evapotranspiration Partitioning Study
Adkison, Christopher, 2020, "NEON-CLBJ Distributed Vegetation Plot Data", https://doi.org/10.18738/T8/EIZX7Y, Texas Data Repository, V1
This dataset contains spreadsheets housing data for individual vegetation plots at Lyndon B. Johnson National Grasslands that were collected by NEON staff in November of 2018. It also contains descriptive data on the eleven oak trees with sap flow sensors, and the process for cal... |
May 13, 2020 - Lyndon B. Johnson National Grasslands Evapotranspiration Partitioning Study
Adkison, Christopher, 2020, ""Water" Manuscript Figure Data", https://doi.org/10.18738/T8/GOSEQV, Texas Data Repository, V1
These data were used to create figures for my master's thesis submitted to Texas A&M University, as well as for the figures used in the manuscript submitted to the journal "Water". |
May 13, 2020 - Lyndon B. Johnson National Grasslands Evapotranspiration Partitioning Study
Adkison, Christopher, 2020, "Eddy Covariance Flux Footprint Modeling", https://doi.org/10.18738/T8/QMW8ZF, Texas Data Repository, V1
These data contain the appropriate formatting for input files, and the associated outputs for Kljun et al. (2015) Eddy Covariance Flux Footprint Modeling tool accessible at https://geography.swansea.ac.uk/nkljun/ffp/www/index.php. These data are for May 2019 at LBJ National Grass... |