cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.4211/hs.51346939a66a45e5b7e4a33b48645a6c
title: Storm Surges at the Eastern Shore of Virginia National Wildlife Refuge

description: This project quantified the ability of salt marshes in the Chesapeake Bay to attenuate coastal hazards; including the attenuation of storm surge and the reduction of wave energy by these natural ecosystems. The project documented the interaction of storm surges and waves with marshes by measuring hydrodynamic conditions in the field during extreme events (waves, currents and water levels), vegetation bio-mechanic characteristics (biomass, stem height, diameter, and density) and topo-bathymetric surveys in several natural preserves in the Chesapeake Bay during the extent of the project, including several coastal storms and hurricanes. All the field procedures, data processing, equipment and project methodology are described in the QAPP document. This dataset provides the information for the Eastern Shore of Virginia National Wildlife Refuge.
DOI: 10.6084/m9.figshare.30855128
title: Raw data for "Prediction of Rheological Properties via Structure Elucidation of Solvated Hydrogels"

description: This folder includes the raw data utilized in the development of the manuscript titled "Prediction of Rheological Properties via Structure Elucidation of Solvated Hydrogels", where structure-property relationships are elucidated for three different cellulosic polymers, methyl cellulose (MC), hydroxypropyl methylcellulose (HPMC), and hydroxypropyl cellulose (HPC) as they transition into filamentous hydrogels at elevated temperatures. This dataset includes: unprocessed cryo-TEM data of the three polymers, USANS + SANS data and the models used to fit the bulk variable-temperature scattering data, unprocessed freeze-dried SEM data of the three polymer hydrogels, oscillatory shear rheology data of the three polymers at a wide range of temperatures, unprocessed liquid cell TEM micrographs of the gelation of MC, snapshots taken from the recorded movies of the gelation of MC, microFT-IR files that confirm electron-beam damage of MC at very high fluence and the lack of significant degradation of MC after LCTEM experiments, and unprocessed LCTEM micrographs that show rapid electron-beam induced damage to HPMC even at low fluence.
DOI: 10.6084/m9.figshare.30855128.v2
title: Raw data for "Prediction of Rheological Properties via Structure Elucidation of Solvated Hydrogels"

description: This folder includes the raw data utilized in the development of the manuscript titled "Prediction of Rheological Properties via Structure Elucidation of Solvated Hydrogels", where structure-property relationships are elucidated for three different cellulosic polymers, methyl cellulose (MC), hydroxypropyl methylcellulose (HPMC), and hydroxypropyl cellulose (HPC) as they transition into filamentous hydrogels at elevated temperatures. This dataset includes: unprocessed cryo-TEM data of the three polymers, USANS + SANS data and the models used to fit the bulk variable-temperature scattering data, unprocessed freeze-dried SEM data of the three polymer hydrogels, oscillatory shear rheology data of the three polymers at a wide range of temperatures, unprocessed liquid cell TEM micrographs of the gelation of MC, snapshots taken from the recorded movies of the gelation of MC, microFT-IR files that confirm electron-beam damage of MC at very high fluence and the lack of significant degradation of MC after LCTEM experiments, and unprocessed LCTEM micrographs that show rapid electron-beam induced damage to HPMC even at low fluence.
DOI: 10.6084/m9.figshare.30855128.v1
title: Raw data for "Prediction of Rheological Properties via Structure Elucidation of Solvated Hydrogels"

description: This folder includes the raw data utilized in the development of the manuscript titled "Prediction of Rheological Properties via Structure Elucidation of Solvated Hydrogels", where structure-property relationships are elucidated for three different cellulosic polymers, methyl cellulose (MC), hydroxypropyl methylcellulose (HPMC), and hydroxypropyl cellulose (HPC) as they transition into filamentous hydrogels at elevated temperatures. This dataset includes: unprocessed cryo-TEM data of the three polymers, USANS + SANS data and the models used to fit the bulk variable-temperature scattering data, unprocessed freeze-dried SEM data of the three polymer hydrogels, oscillatory shear rheology data of the three polymers at a wide range of temperatures, unprocessed liquid cell TEM micrographs of the gelation of MC, snapshots taken from the recorded movies of the gelation of MC, microFT-IR files that confirm electron-beam damage of MC at very high fluence and the lack of significant degradation of MC after LCTEM experiments, and unprocessed LCTEM micrographs that show rapid electron-beam induced damage to HPMC even at low fluence.
DOI: 10.4211/hs.95dfb865cadd4e0da6548d5952d679bc
title: Logan River Watershed data used for testing parallel implementations of Utah Energy Balance Snowmelt Model

description: Logan River Watershed data used for testing parallel implementations of Utah Energy Balance Snowmelt Model reported in:

Gichamo, T. Z. and D. G. Tarboton, (2020), "UEB parallel: Distributed snow accumulation and melt modeling using parallel computing," Environmental Modelling & Software, 125: 104614, https://doi.org/10.1016/j.envsoft.2019.104614.
DOI: 10.4211/hs.344350caa2e341f5a8a9eb33cbed3f78
title: Cases for the book "Computational Fluid Dynamics: Applications in Water, Wastewater, and Stormwater Treatment"

description: These are the companion cases with the book "Computational Fluid Dynamics: Applications in Water, Wastewater, and Stormwater Treatment" published by American Society of Civil Engineers (ASCE). 

ISBN 9780784415313 (print)
ISBN 9780784482216 (pdf)
DOI: 10.4211/hs.6d23c61a6095459da8c5e868f1885d03
title: Green River Watershed Data used for Evaluating Ensemble Streamflow Forecasting with the Utah Energy Balance (UEB) Snowmelt Model Coupled to the Research Distributed Hydrologic Model (RDHM) with Snow and Streamflow Assimilation

description: Inputs to a  spatially distributed hydrologic model incorporating the UEB snowmelt that evaluates the effect of snow and streamflow assimilation in streamflow forecasting.
DOI: 10.4211/hs.d31117430c234a67950823335b17fdb1
title: The Utah Energy Balance (UEB) Snowmelt Model Coupled to the Research Distributed Hydrologic Model (RDHM) with Parallel Processing using the CUDA GPU

description: The Utah Energy Balance (UEB) Snowmelt Model Coupled to the Research Distributed Hydrologic Model (RDHM) with Parallel Processing using CUDA GPU.
DOI: 10.4211/hs.7a16e00e18784efdaca086a9c05aa681
title: Ensuring Long-Term Viability of the Colorado River System Through Early, Proportional Cuts to Water Deliveries During Low Water Years

description: The Upper Basin of the Colorado River, under current agreements, must prioritize releases between 7.48 and 9.0 million acre feet (maf) of water to the Lower Basin of the Colorado River per year. This delivery is controlled by outflows from Lake Powell which until recently could not be less than 8.23 maf. This release represents the downstream allocations for Mexico, regional Native American tribes, and the Lower Basin states. This report presents a management alternative that allows for proportional releases from Lake Powell based on inflows. This report recognizes that any alteration to the existing schedule of deliveries from Lake Powell downstream is politically fraught. However, there is a pressing need to ensure that water and electrical demands are met, even if in lesser quantities, during the projected driest years of the coming decades. The results of the new rule show that Lake Powell is kept above power pool elevation longer than without the rule in place.
DOI: 10.4211/hs.6bcdd5667f3b41439d63ee939d844402
title: Increasing Lakes Powell and Mead's Available Storage by Accounting for Evaporation Losses

description: This study seeks to promote sustainable management of the two largest reservoirs in the Colorado River basin, Lakes Powell and Mead, by accounting for evaporation losses in Lower Basin deliveries. Although evaporation losses are currently ~7% of the total basin demands, they are currently unaccounted for in basin deliveries. This project assigns evaporation loss responsibility to water users when Mead’s pool elevation is ≤ 1090 ft by proportionally decreasing their allotment based on yearly evaporation totals and the user’s current delivery schedule. To achieve this, a new delivery rule is created in the Colorado River Simulation System (CRSS), as modeled in RiverWare. To determine the efficacy of evaporation loss inclusion as a solution to declining reservoir levels, a performance metric is defined, and reservoir elevation levels are compared between CRSS simulations with and without evaporation loss inclusion.
DOI: 10.4211/hs.d42bd7b5ba604a61b23c12eb46db8e05
title: USU River Basins Class - CRSS model

description: The construction of Flaming Gorge Dam in 1964 caused significant changes to the channel form and juvenile fish habitat. To mitigate for degraded habitat, spring high flow dam operations were changed to improve juvenile off-channel habitat for razorback sucker. In this study, we evaluated whether these environmental spring flow releases can be met with future hydrology that incorporates climate change.  We found that the model performed poorly in years with an average spring runoff and well in dry, moderately dry, and wet years regardless of whether climate change was considered.  Next, we sought to increase the reliability of meeting environmental flow recommendations by adjusting the threshold values that define the hydrologic classification for each year and days at power plant capacity. We found that changing the threshold for each hydrologic classification was more sensitive than changing days at power plant capacity and that only by making extreme alterations of those values could we get significant improvement in the reliability of meeting environmental flow objectives.
DOI: 10.4211/hs.51c963a16c9d46c4b091364a8b206269
title: Ensuring Long-Term Viability of the Colorado River System Through Early, Proportional Cuts to Water Deliveries During Low Water Years

description: The Upper Basin of the Colorado River, under current agreements, must prioritize releases between 7.48 and 9.0 million-acre feet of water releases to the Lower Basin each year. These releases control Lower Basin deliveries which, until recently, were at least 8.23 million-acre feet per year. This delivery represents downstream allocations for Mexico, Native American tribes, and Lower Basin states. This report presents a management alternative that allows for proportional releases from Lake Powell based on inflows. Our results in RiverWare (CRSS) modeling show that Lake Powell is kept above power pool elevation longer than without the rule in place.
DOI: 10.4211/hs.71e93fd6e7f8477dad2a885b22b26ff4
title: Supplemental Information - Dissolved oxygen concentration profiles in the hyporheic zone through the use of a high-density fiber optic measurement system

description: This article provides supporting information for JAWER article "Dissolved oxygen concentration profiles in the hyporheic zone through the use of a high-density fiber optic measurement system" (https://doi.org/10.1080/23249676.2019.1611495).  It  gives additional details about sourcing, constructing and controlling the DO measurement system.   Sample AutoHotKey ® scripts are presented.  Additionally, sample calculations are presented for the evaluation of flowline residence time.  Finally, additional details are provided to describe conditioning of the flume water, initiating the bacterial communities and preparation and consumption of the carbon amendments to support the metabolic activities of the microbial communities.
DOI: 10.4211/hs.e5da4bdf5b474b5bb9720387fed458ba
title: CRuHM 2017 Congo River Main Stem Processed Field Data: WSE, Bathymetry and Discharge

description: Large river hydrodynamics studies inform global and regional issues pertaining to biogeochemical cycling, ecology, water availability, and flood risk. Such studies rely increasingly on satellite measurements, but these are limited by resolution, coverage and uncertainty, and their inability to directly measure bathymetry or discharge. We obtain new in-situ data covering 650 km of the Congo’s main stem, including elusive bathymetry and discharge measurements that complement space-borne datasets. Our key findings relate to our water surface elevation measurements which show that spatial coverage of existing satellite altimetry for deriving river water surface profiles may be adequate through the globally important Cuvette Centrale, but is not at its outlet where our field data reveals significant spatial variability in water surface slope. The findings have implications for altimetry-based hydrodynamics studies of other large rivers, such as those that involve estimating discharge or modelling multichannel river hydraulics.
DOI: 10.4211/hs.55096acd707745c09fb2a42fb440a278
title: ARCHIVED Storm Surge at Magothy Bay Natural Area Preserve

description: This project quantified the ability of salt marshes in the Chesapeake Bay to attenuate coastal hazards; including the attenuation of storm surge and the reduction of wave energy by these natural ecosystems. The project documented the interaction of storm surges and waves with marshes by measuring hydrodynamic conditions in the field during extreme events (waves, currents and water levels), vegetation bio-mechanic characteristics (biomass, stem height, diameter, and density) and topo-bathymetric surveys in several natural preserves in the Chesapeake Bay during the extent of the project, including several coastal storms and hurricanes. All the field procedures, data processing, equipment and project methodology are described in the QAPP document. This dataset provides the information for the Magothy Bay Natural Area Preserve.
DOI: 10.4211/hs.7f6169c1e5b0499f9b91709aa2e2bc13
title: Water flux and stable water isotope data from a warm semiarid shrubland

description: This resource contains eddy covariance evapotranspiration, sap flow transpiration, and soil moisture measurements from a creosotebush‐dominated shrubland ecosystem at the Santa Rita Experimental Range in southern Arizona. These measurements were taken over an 18‐month period in 2013-2015 in conjunction with biweekly precipitation, shallow soil, deep soil, and stem stable water isotope samples. 

US-SRC_Daily_2013320-2015091.csv:
--Precipitation (mm)
--Vapor pressure deficit (VPD) (kPa)
--Evapotranspiration (mm/day)
--Transpiration (mm/day)
--Volumetric water content at multiple depths (2.5 cm, 12.5 cm, 22.5 cm, 37.5 cm, 52.5 cm) (m3/m3)

US-SRC_WaterIsotope_2014169-2015091.xlsx:
--delta-oxygen-18 and delta-deuterium values (‰):
	-Precipitation (canopy, intercanopy)
        -Soil at multiple depths (10 cm, 20 cm, 25 cm, 30 cm, 35 cm, 40 cm)
        -Stem (creosotebush)

This resource serves as the data for:
Szutu, D. J., & Papuga, S. A. (2019). Year‐round transpiration dynamics linked with deep soil moisture in a warm desert shrubland. Water Resources Research. https://doi.org/10.1029/2018WR023990
DOI: 10.4211/hs.e0e6fbc0571149b79b1e75fa44d5c4ab
title: High frequency dataset of the upper Rappbode Catchment in the Harz Mountains, Germany

description: Measurements were conducted in a headwater catchment of the Rappbode stream located in the Harz Mountains, Central Germany.
DOI: 10.4211/hs.c287d48b50064acd86b82ddc4346f810
title: Calibration with Dakota Clinic

description: Clinic materials to learn about calibration with Sandia National Lab's Dakota tool.

Current version tracks v0.1 of the following repository.
https://github.com/kbarnhart/calibration_with_dakota_clinic/releases/tag/v0.1
DOI: 10.4211/hs.6fe5364cd75e4ea3875d230035ccf718
title: Mississippi_River_Basin_Discharge_Series_USGS_Sampled_SWOT

description: Includes daily USGS streamflow measurements for 453 gauges throughout the Mississippi River Basin for the period April 1, 2010 to May 1, 2016, a shapefile of the USGS gauges, and assuming a theoretical launch date of the Surface Water and Ocean Topography (SWOT) Mission being April 16, 2010 or April 16, 2013, sampled SWOT-observed discharges with and without preliminary SWOT discharge uncertainties (based on Hagemann et al. 2017; DOI: 10.1002/2017WR021626) .
DOI: 10.4211/hs.eba152073b4046178d1a2ffe9a897ebe
title: Supporting data for Savoy et al. (2019): Metabolic rhythms in flowing waters: An approach for classifying river productivity regimes

description: This document describes several of the derived datasets used in Savoy et al. (2019) as well as Koenig et al. (2019). The analysis presented in Savoy et al. (2019) describes identifying similar characteristic regimes of gross primary productivity (GPP) across 47 U.S. streams and rivers through the use of clustering analysis. This resource contains basic site information about each of the sites used in this analysis as well as the resulting cluster membership for each site. Additionally, representative time series of GPP are provided for each of the sites. Please refer to the readme.md file for descriptions of the contents of each file and a brief overview of how the data contained within them was created. A full description of the methods and results can be found in Savoy et al. (2019).
DOI: 10.4211/hs.b9a8878e65cc4345912ca203b0b5143c
title: Sensitivity Analysis with Landlab and Dakota

description: Input and output files for the CSDMS Landlab and Dakota Clinic given in Boulder, CO in May 2017 and 2018. Lightly edited in 2019.

Installation of Landlab (https://landlab.github.io) and Dakota (http://dakota.sandia.gov) is required for the execution of the scripts provided in this resource.

Both of these software packages are available on the Hydroshare NCSA Jupiter Hub Server.
DOI: 10.4211/hs.c373307fd5034b449824b5839fd9f9d3
title: Cain et al., 2019 - Hydrological Processes - Tabular Data

description: Tabular data used to generate figures for the article:
Cain, MR, Ward, AS, Hrachowitz, M. Ecohydrologic separation alters interpreted hydrologic stores and fluxes in a headwater mountain catchment. Hydrological Processes. 2019. https://doi.org/10.1002/hyp.13518

The study site is the H.J. Andrews Experimental Forest located in the western Cascade Mountains of Oregon, USA. Datasets correspond to a two water worlds (2WW) and a one water world model (1WW). These include behavioral set parameters, modeled stream discharge and chloride concentration, mean water storages, time series of plant available water storage, time series of daily residence times, and residence time probability distributions for the unsaturated zone.
DOI: 10.4211/hs.bcae759c38b844c7aae3bf62fb35211f
title: HydroDS TOPNET model input setup Python scripts

description: This script executes the HydroDS tasks required to prepare TOPNET inputs for the use case reported in 

Gichamo, T. Z., N. S. Sazib, D. G. Tarboton and P. Dash, (2020), "HydroDS: Data Services in Support of Physically Based, Distributed Hydrological Models," Environmental Modelling & Software: 104623, https://doi.org/10.1016/j.envsoft.2020.104623.
DOI: 10.4211/hs.84c5d397abd1441a9764fdf071fbe6d2
title: Hydrologic Science in Action: Integration of Reproducible Methods into Community Cyberinfrastructure

description: Achieving reproducible computational models and workflows is an important challenge that calls for open and reusable code and data, well-documented workflows, and controlled environments that allow others to verify published findings. Several scientists have highlighted the reproducibility crisis in science, but tools to help achieve reproducibility are limited. This presentation will describe cyberinfrastructure developed as part of the Geotrust and HydroShare projects that is enabling reproducible hydrologic science in the CUAHSI JupyterHub platform linked to HydroShare. Snow modeling plays an important role in the prediction of seasonal runoff and water supply forecasting for water resources management in snow-fed river basins. Physically based modeling is generally assumed better suited to reproduce snow processes under changing conditions. However, challenges exist in the application of snowmelt models that make them hard to reproduce, in terms of (1) tracking the preparation of model inputs and preserving the precise version of input data used, (2) repeating the execution of model code to duplicate model outputs, and (3) reproducing analyses used to report the results. This presentation will describe the use of Sciunit, which is software for creating self-contained and annotated containers that describe and package computational experiments, as deployed in the CUAHSI JupyterHub platform address these challenges. We will describe a research application of the Utah Energy Balance (UEB) snowmelt model to investigate water supply forecasts improvement for test watersheds in the Colorado River Basin that is made reproducible through the use of Sciunit. This work illustrates how reproducibility of the complete hydrologic science modeling cycle can be enhanced. The contents can be shared with other users in HydroShare to repeat or build on the work and can be permanently published to receive a digital object identifier for citation in papers to fulfill the open data mandate.
DOI: 10.4211/hs.b8f6eae9d89241cf8b5904033460af61
title: Annual soil moisture predictions across conterminous United States using remote sensing and terrain analysis across 1 km grids (1991-2016)

description: We provide 26 annual soil moisture predictions across conterminous United States for the years 1991-2016. These predictions are provided in raster files with a geographical (lat, long) projection system and a spatial resolution of 1 x 1 km grids (folder: soil_moisture_annual_grids_1991_2016). These raster files were populated with soil moisture data based on multiple kernel based machine learning models for coupling hydrologically meaningful terrain parameters (the explanatory variables) with soil moisture microwave records (the response variable) from the European Space Agency Climate Change Initiative. We provide a raster stack with the annual training data from satellite soil moisture estimates (file: annual_means_of _ESA_CCI_soil_moiture_1991_2016.tif) and the explanatory variables (terrain) calculated on SAGA GIS (System of Automated Geoscientific Analysis) using digital terrain analysis (folder: explanatory_variables_dem). The explained variance for all models-years was >70% (10-fold cross-validation). The 1 km soil moisture grids (compared to the original satellite soil moisture estimates) had higher correlations with field soil moisture observations from the North American Soil Moisture Database (n=668 locations with available data between 1991-2013; 0-5 cm depth) than soil moisture microwave records. For further information refer to our preprint in bioRxiv: https://www.biorxiv.org/content/biorxiv/early/2019/07/01/688846.full.pdf
DOI: 10.4211/hs.ebea98d9ed3e449991d1df29b1b0cdac
title: IDGT Electrical Resistivity Data

description: The CUAHSI Instrumentation Discovery Grant funded a three day training event designed to facilitate and inspire the use of our department owned Electrical Resistivity Tomography instrument. Dr. Kevin Befus from University of Wyoming gave three MSU students in-depth training on our specific instrumentation. We documented our training  through photos, videos, notes, and data collection. We are now working to produce an instructional video that will make the use of this instrument accessible to the student population.
DOI: 10.4211/hs.df43abb39bb840cf8b19d8ec384d21c3
title: Datascript_Tom_Bik

description: This is the script that was used to create the subsurface models. I also added the plots that were created