cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.4211/hs.4294e9cedfca49838c2b191bc6f62260
title: Literature Review of Water Resources Agent-Based Models

description: Modeling the coupled social and biophysical dynamics of water resource systems is increasingly important due to expanding population, fundamental transitions in the uses of water, and changes in global and regional water cycling driven by climate change. Models that explicitly represent the coupled dynamics of biophysical and social components of water resource systems are challenging to design and implement, particularly given the complicated and cross-scale nature of water governance. Agent based models (ABMs) have emerged as a tool that can capture human decision-making and nested social hierarchies. The transferability of many agent-based models of water resource systems, however, is made difficult by the location-specific details of these models. The often ad-hoc nature of the design and implementation of these models also complicates integration of high fidelity sub-models that capture biophysical dynamics like surface-groundwater exchange and the influence of global markets for commodities that drive water use. A consistent, transferable description of the individuals, groups, and/or agencies that make decisions about water resources would significantly advance the rate at which ABMs of water resource systems can be developed, enhance their applicability across ranges of spatiotemporal scales, and aid in the synthesis and comparison of models across different sites. We outline here a framework to systematically identify the primary agents that influence the storage, redistribution, and use of water within a given system. 

This resource is the literature review that supports our proposed  water resources agent types that capture the operational roles that modify the water balance (see Kaiser et al., 2020). This typology characterizes common actors in water management systems but can be modified to represent the particularities of specific systems when more detailed information about specific actors is available (e.g. social networks, demographics, learning and decision-making processes). Application of the proposed typologies will support the systematic design and development of transferable scaleable water resources ABMs and facilitate the dynamical coupling of social and biophysical process modeling.
DOI: 10.4211/hs.60fb3a408cac40cbb38b8f559ef1fc5c
title: Characterizing the fluxes and age distribution of soil water, plant water, and deep percolation in a model tropical ecosystem

description: The data file includes water stables isotope data (throughfall, seepage, bulk soil water, and xylem water), soil volumetric water content, soil matric potential, leaf water potential, and ecosystem-level transpiration estimates, from the 10-month drought and rainfall labelling experiment at the Biosphere 2 Tropical Rainforest Biome (B2-TRF) in 2014-2015.
Data are organized in the csv files:
•	evaristo_b22014_transpiration – ecosystem-level, meteorologically derived evapotranspiration
•	evaristo_b22014_lwp – leaf water potential
•	evaristo_b22014_swp – soil water potential
•	evaristo_b22014_vwc – soil vol. water content
•	evaristo_b22014_isotopes_throughfall – throughfall stable isotopes
•	evaristo_b22014_isotopes_seepage – seepage stable isotopes
•	evaristo_b22014_isotopes_soil – bulk soil water stable isotopes
•	evaristo_b22014_isotopes_xylem – xylem water stable isotopes
DOI: 10.4211/hs.e5ff94b3e9a442faa32618425cad36f6
title: R Codes and data

description: The data belong to a manuscript submitted to the Journal of Water Resources Planning and Management.
If the following line of codes doesn't work, try loading 'Zarrineh.rda' available here.
load(url("http://up2www.com/uploads/c7e0zarrineh.mp3"))
DOI: 10.4211/hs.88454dae8c604009b684bfa136e5f7f4
title: Blue Nile SWAT models  setup using QSWAT Workflow v1.5 and QSWAT GUI

description: Most catchment modelling software use a Graphical User Interface (GUI) to allow direct manipulation of the models and adapt to specific case studies. GUI is generally easy to use for novice users but opens sources of irreproducible research. We present a workflow (QSWAT Workflow) that promotes reproducible SWAT model studies while remaining user-friendly for both novice and expert users. We applied this environment to the Blue Nile catchment and show that it yields the same results as using the QSWAT GUI. The workflow includes benefits in rebuilding earlier model configurations and implementing changes to existing setups while saving time. The project can still be viewed and modified in the GUI. We conclude that workflows can help reduce cases of irreproducible catchment studies and offer benefits for researchers building upon existing models including opportunities for catchment model setup with cloud computing without losing interoperability with GUIs. This workflow is on GitHub: https://github.com/VUB-HYDR/QSWAT_Automated_Workflow)
DOI: 10.4211/hs.8aabb1d840474e5c94749c3baf8bc5ce
title: Hydrological drought simulations: How climate and model structure control parameter sensitivity

description: This folder contains the output files from:

L.A. Melsen and B. Güse (2019), Hydrological drought simulations: How climate and model structure control parameter sensitivity, Water Resources Research, doi: 10.1029/2019WR025230

The data contain hydrological drought indicators (e.g. median drought duration) for three different models (SAC, VIC, HBV), where these models were run with a sample of parameters for 605 basins in the US. Sensitivity analysis was applied to the indicators. 


Study abstract:
Hydrological drought, defined as below average streamflow conditions, can be triggered by different mechanisms which are to a large extent dictated by the climate. Moreover, the simulation of hydrological droughts highly depends on the model structure and how drought triggering mechanisms are parameterized. In this large-sample hydrological study, we investigate how climate and model structure control hydrological drought simulations. We conducted sensitivity analysis on parameters of three frequently used hydrological models (HBV, SAC, and VIC) for the simulation of drought duration and drought deficit over 605 basins covering more than ten different K\"oppen-Geiger climates. The sensitivity analysis revealed that, as anticipated, different parameter are sensitive in different climates. However, not all expected drought mechanisms were reflected in the parameter sensitivity: especially the sensitivity of ET parameters does not align with the theory, and the role of snow parameters in snow-related droughts shows a distinction between degree-day based models and energy-balance models. Besides parameter sensitivity being different over climates, we also found that parameter sensitivity differed over the different models. Where HBV and SAC did display fairly similar behaviour, in VIC other model mechanisms were triggered. This implies that conclusions on driving mechanisms in hydrological drought cannot be based on hydrological models only, as different models would lead to different conclusions. Hydrological models can have heuristic value in drought research, to formulate new theories and identify research directions, but formulated theories on driving processes should always be backed up by observations.
DOI: 10.4211/hs.95820fd6a9c040e090382bab110bcef9
title: FEMA - Irma Flood Data

description: This resource groups data downloaded from FEMA public FTP site for Hurricane Irma [1] for depth grids, flood extents, windfield, and damage assessments. 
See FEMA's Natural Hazard Risk Assessment Program (NHRAP) ftp site [2] for additional HWM-based depth grids, inundation polygons, and windfield. 

References and related links:
[1] FEMA public download site for Hurricane Irma 2017 [https://data.femadata.com/NationalDisasters/HurricaneIrma/]
[2] FEMA NHRAP ftp [https://data.femadata.com/FIMA/NHRAP/Irma/]
DOI: 10.4211/hs.caa886183ec94d50a25ea868367c1ee7
title: Data for MS# 2018JF004861

description: This resource contains the data that underlie figures presented in MS# 2018JF004861 , " Topography and Overmarsh Circulation in a Small Salt Marsh Basin". Specifically, there are two Excel spreadsheets that contain at-a-station residual velocities used to assess tidal current asymmetry and e-folding time, and raster datasets used to estimate tracer dispersal and spatial distribution.
DOI: 10.4211/hs.e1a73bc4e7c34166895ff20ae53371f5
title: Sensitivity to Stomatal Resistance Parameterization of SUMMA Model in Aspen stand at Reynolds Mountain East

description: This SUMMA Model instance is a part of the Clark et al., (2015b) study, and explored the impact of different stomatal resistance parameterizations on total evapotranspiration (ET) in the Reynolds Mountain East catchment in southwestern Idaho. This study applied three different stomatal resistance parameterizations: the simple soil resistance method, the Ball Berry method, and the Jarvis method.
DOI: 10.4211/hs.eed6f3faedad4c17992bb361bd492caa
title: The Impact of Root Distributions Parameters of SUMMA Model in Aspen stand at Reynolds Mountain East

description: This SUMMA Model instance is a part of the Clark et al., (2015b) study, and explored the sensitivity of different root distribution exponents (0.25, 0.5, 1.0). The sensitivity of evapotranspiration to the distribution of roots, which dictates the capability of plants to access water.
DOI: 10.4211/hs.11d471b6096d4eaa81068256d281a919
title: The Impact of Lateral Flow Parameterizations on ET of SUMMA Model at Reynolds Mountain East

description: This SUMMA Model instance is a part of the Clark et al., (2015b) study, and explored the impact of the lateral flux of liquid water on total evapotranspiration (ET) using a SUMMA model for the Reynolds Mountain East catchment. This study looked at the sensitivity of the different model representation of the lateral flux of liquid water, which determines the availability of soil water.
DOI: 10.4211/hs.1aaf8d8a1e1146419d47432cd813b2b9
title: Spatial variability of soil moisture at TCEF, 2013

description: Abstract
This dataset includes measurements of volumetric water content (VWC %) at the plot (707 m2) and landscape scale (42 sites distributed across a 400 ha catchment). At the plot scale, 30 VWC measurements were made 4 times over the growing season, and at the landscape scale measurements were made weekly from May 29th to August 6th 2013 (11 time points). Relative coordinates of the 30 sampling points within the plots are provided as xy data for use in variogram or correlogram analysis. Values of terrain metrics for each site are included at 3m and 10m resolutions. More details and the associated analysis can be found in Kaiser, K.E. and B.L. McGlynn, (2018), Nested scales of spatial and temporal variability of soil water content across a semi-arid montane catchment. Water Resources Research. Please contact kendra.kaiser@gmail.com for additional information or to use data.
DOI: 10.4211/hs.da4ccabbb6c64b39a053d5b288ecbf34
title: GeoFlood WRR Dataset and Tools

description: This resource contains data and tools used in the paper “GeoFlood: large-scale flood inundation mapping based on high-resolution terrain analysis” submitted to Water Resources Research.
Simple and computationally efficient flood inundation mapping methods are needed to take advantage of increasingly available high-resolution topography data. In this work, we present a new approach, called GeoFlood, for flood inundation mapping using high-resolution topographic data. This approach combines GeoNet, an advanced method for high-resolution terrain data analysis, and the Height Above Nearest Drainage. GeoFlood can rapidly convert real-time forecasted river flow conditions to corresponding flood maps. A case study in central Texas demonstrated that the flood maps generated with our approach capture the majority of the inundated extent reported by detailed FEMA flood studies. Our results show that GeoFlood is a valuable solution for rapid inundation mapping.
DOI: 10.4211/hs.0c4fd861a9694b2f9fcdf19eb33a6b54
title: The Impact of the canopy shortwave radiation parameterizations of SUMMA Model at Reynolds Mountain East

description: This SUMMA Model instance is a part of the Clark et al., (2015b) study, and explored the Impact of the canopy shortwave radiation parameterizations on below canopy shortwave radiation using a SUMMA model for the Reynolds Mountain East catchment. This study looked at four different canopy shortwave radiation parameterizations: BeersLaw method(as implemented in VIC), NL_scatter method(Nijssen and Lettenmaier, JGR 1999:NL 1999), UEB_2stream method(Mahat and Tarboton, WRR 2011:MT 2012), CLM_2stream method(Dick 1983)
DOI: 10.17026/ar/1dvxym
title: PAN-00174848 - chest

description: &lt;p&gt;This find is registered at Portable Antiquities of the Netherlands with number PAN-00174848&lt;/p&gt;
description: Modified: 2025-06-09T09:02:22+02:00
DOI: 10.4211/hs.2bedc3b88f3547d5b9b0ade7248dfdd5
title: The Impact of LAI parameter on the below canopy shortwave radiation of SUMMA Model at Reynolds Mountain East

description: This SUMMA Model instance is a part of the Clark et al., (2015b) study, and explored the Impact of the canopy shortwave radiation parameterizations on below canopy shortwave radiation using a SUMMA model for the Reynolds Mountain East catchment. This study looked at four different canopy shortwave radiation parameterizations: BeersLaw method(as implemented in VIC), NL_scatter method(Nijssen and Lettenmaier, JGR 1999:NL 1999), UEB_2stream method(Mahat and Tarboton, WRR 2011:MT 2012), CLM_2stream method(Dick 1983)
DOI: 10.4211/hs.c7ee150767114d3a927b67a94f0edc04
title: CUAHSI Summer Institute Report 2018

description: National Water Center Innovators Program Summer Institute Report 2018
DOI: 10.4211/hs.bae3f93a5dc54dd886729265eecc784f
title: An example template for conducting PAWN global sensitivity analysis on parameters of the PRMS model using the PRMS-Python framework

description: Global sensitivity analysis GSA is a useful tool for diagnosing and quantifying uncertainty within hydrologic models.  Facilitating advanced model analyses such as GSA of parameters has the potential to help advance our fundamental understanding of hydrologic process representations. This document acts as a working template to apply a GSA method for parameters of the well-known Preceipitation-Runoff Modeling System (PRMS) hydrologic model maintained by the United States Geological Survey.  Specifically, it documents a workflow for a moment-independent, GSA method based on empirical cumulative distribution functions named PAWN. The template is a Jupyter notebook that uses an open-source Python package called PRMS-Python; installation instructions for PRMS-Python and links to both PAWN and the Python software are included. PRMS-Python has  a built in routine for Monte Carlo parameter resampling that this template demonstrates and uses to implement PAWN. The template is written so that it could be modified for an arbitrary set of PRMS parameters and is heavily commented for clarity.  As such, this template along with the open-source Python package aim to  encourage and facilitate the greater hydrologic modeling community to conduct advanced model analyses such as GSA. Similarly, the PRMS-Python framework has tools for self-generation of metadata files that track data provenance of large model ensembles- a useful tool for sharing model results on platforms such as HydroShare.
DOI: 10.4211/hs.beea00c2757c438c82f0af7126311d80
title: Civil Air Patrol - Irma Oblique Aerial Photos

description: The Civil Air Patrol is routinely tasked by FEMA and local public safety officials with taking aerial photographs. This collection comprises about 38,000 photos taken over Florida and Georgia during September 8-20, 2017. These were originally uploaded to the web using the GeoPlatform.gov imageUploader capability, and hosted as a web map layer [1]. For this Irma collection, I exported the dataset of photo location points to a local computer, subset it to the Irma event, and created a shapefile, which is downloadable below. The photos and thumbnails were not included in this archive, but are attribute-linked to the FEMA-Civil Air Patrol image library on Amazon cloud [2].

Note: The cameras used by the Civil Air Patrol generally do not have an electronic compass with their GPS to record the viewing direction. The easiest way to determine the general angle is to look at consecutive frame counterpoints to establish the flightpath direction at nadir and adjust for the photographer's position behind the pilot looking out the window hatch on the port (left) side of the aircraft. The altitude above ground level is typically between 1000-1500 feet, so it's easy to locate features in reference orthoimages.

References
[1] US federal GeoPlatform.gov Image Uploader map service (ArcGIS Server) [https://imageryuploader.geoplatform.gov/arcgis/rest/services/ImageEvents/MapServer]
[2] FEMA-Civil Air Patrol image library on Amazon cloud [https://fema-cap-imagery.s3.amazonaws.com]
DOI: 10.4211/hs.34c24197eb144a70a0d249cf6c4d32ee
title: Irma Basemap - ORNL Building Outlines

description: At the request of the US Department of Homeland Security (DHS), a team at the Oak Ridge National Laboratory (ORNL) has developed a method for capturing building outlines over a large area. For Hurricane Irma, ORNL assembled this collection [1] of building footprints for Florida (6.5 million), Georgia (3.5 million), Alabama (2.4 million), and the South Carolina coastal area (374k). This was intended as an overlay with predicted or observed flooding extent, to estimate the number of buildings that might be damaged. While not completely accurate, these building outlines are useful for estimating aggregate totals across large areas of interest. 

References
[1] FEMA public FTP download site  [https://data.femadata.com/NationalDisasters/HurricaneIrma/Data/Buildings/Outlines/OakRidgeNationalLaboratory/]
DOI: 10.4211/hs.54d4d4195dc1481b963af317492033e5
title: Irma Basemap - Boundaries and Hydrology Data

description: This resource contains medium-resolution (1:100k) National Hydrography Dataset (NHDPlus) [1] map data for a region of 23 Hydrologic Unit Code (HUC) 6-digit (HUC6) basins around the Hurricane Irma impact zone across Florida, Georgia, and the Carolinas. This includes 5,236 subwatersheds, 217,308 catchments, and 220,418 flowlines.

State and county boundaries were obtained from the Esri Living Atlas [2].

USGS active stream gages can be downloaded from the USGS National Water Information System (NWIS) [3], or visualized at the USGS WaterWatch site [4]. 
NOAA Advanced Hydrologic Prediction System (AHPS) river forecast points can be downloaded as well [5]. Many of these are co-located with USGS NWIS gages to leverage authoritative observation data.

References
[1] NHDPlus Version 2 [http://www.horizon-systems.com/NHDPlus/V2NationalData.php]
[2] Esri Living Atlas [https://livingatlas.arcgis.com]
[3] USGS NWIS [https://waterdata.usgs.gov/nwis]
[4] USGS WaterWatch [https://waterwatch.usgs.gov]
[5] NOAA AHPS [https://water.weather.gov/ahps/forecasts.php]
DOI: 10.4211/hs.b1d5fd2c2d3e49878d86cb7c2d483d2a
title: Variability of Subsurface Structure and Infiltration Hydrology among Surface Coal Mine Valley Fills

description: This is the data repository for the journal article entitled "Variability of Subsurface Structure and Infiltration Hydrology among Surface Coal Mine Valley Fills" published in Science of the Total Environment in 2018 by Erich T. Hester, Kathryn L. Little, Joseph D. Buckwalter, Carl E. Zipper, and Thomas J. Burbey.  The data themselves, as well as information about the data, for example geographic location and date, can be found in several locations:

1) Many data are in the journal article or the associated supplementary information, which are available at the journal website or can be requested by emailing Erich Hester at ehester@vt.edu
2) Many data are available in the files associated with this Hydroshare resource, which are described in the readme.txt file
3) Any questions that are not answered by the above methods can be directed to Erich Hester at ehester@vt.edu

Note that the data included in this Hydroshare resource are for the electrical resistivity imaging (ERI).  The other data collected for the published article (e.g., bore logs) are solely within the article itself and the associated supplementary information published with the article at the journal website.
DOI: 10.4211/hs.4064a7b014094f50aa63730e4a3ff976
title: The Impact of the canopy wind parameter for the exponential wind profile of SUMMA Model at Reynolds Mountain East

description: This SUMMA Model instance is a part of the Clark et al., (2015b) study, and explored the Impact of the canopy wind parameter for the exponential wind profile on simulations of below canopy wind speed at the aspen site in the Reynolds Mountain East catchment. This study looked at the impact of the Canopy wind parameter[0.10, 0.28, 0.50, 0.750] as used in the parameterization described by the exponential wind profile
DOI: 10.15468/59cunb
title: Review of African Species of the Genus Pentodon Hope, 1837 (Coleoptera: Scarabaeidae: Dynastinae: Pentodontini)

description: This dataset contains the digitized treatments in Plazi based on the original journal article Bunalski, Marek, Śmiełowski, Jan (2020): Review of African Species of the Genus Pentodon Hope, 1837 (Coleoptera: Scarabaeidae: Dynastinae: Pentodontini). The Coleopterists Bulletin 74 (3): 547-554, DOI: 10.1649/0010-065X-74.3.547, URL: http://dx.doi.org/10.1649/0010-065x-74.3.547
DOI: 10.4211/hs.b3177d0c45e547b18b486b45d17b75af
title: CESEP Wind Tunnel-Porous Media Evaporation Experiments

description: The Center for Experimental Study of Subsurface Environmental Processes (CESEP) operates and conducts research at  a large scale coupled wind tunnel-porous media test facility located at the Colorado School of Mines in Golden, Colorado. The facility consists of a closed-circuit, climate-controlled (i.e., relative humidity 5 to 95%, air temperature -2 to 45 deg. C, soil temperature -4 to 35 deg. C, grow lights), low wind speed (<10 m/s) wind tunnel that is interfaced along the centerline of it's test-section with a large soil tank (inner dimensions l x w x d = 7.15 x 0.11 x 1.1 m). Climate conditions are manually set and automatically maintained using a variety of climate controls. The soil tank and test section are outfitted with a variety of sensors for the continuous measurement of key atmospheric and subsurface state variables. This resource contains the raw data from a series of bare-soil evaporation experiments conducted under varying subsurface and surface conditions by the shown research team. The test-facility is described in detail and these experimental results are analyzed in a manuscript entitled "Experimental testing scale considerations for the investigation of bare-soil evaporation dynamics in the presence of sustained above-ground airflow" published in Water Resources Research. For questions regarding the test-facility or possible collaboration involving the facility, interested parties are referred to the CESEP website (www.cesep.mines.edu) and CESEP director, Dr. Tissa Illangasekare.
DOI: 10.4211/hs.45062aa8e2c04e66b5f43500cb2bd068
title: Edwards Aquifer, San Antonio Region, TX, USA, Steady-State CFPv2 Model

description: This is the model data set for the steady-state Conduit Flow Process v2 (CFPv2) model of the Edwards Aquifer in the San Antonio, TX, USA region.  The model simulates water flow through the aquifer matrix and karst conduits.  The results of this model are part of the manuscript "Nitrate Transport in a Karst Aquifer: Numerical Model Development and Source Evaluation" submitted for publication in Water Resources Research.