cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.4211/hs.19d252ebbeb44ad292ffc3e0a92f94c2
title: Edwards Aquifer, San Antonio Region, TX, USA, CMT3D Model (2001-2010)

description: This is the model data set for the Conduit Mass Transport Three-Dimensional Model (CMT3D) model of the Edwards Aquifer in the San Antonio, TX, USA region.  The model simulates nitrate transport 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.
DOI: 10.4211/hs.dc3bf3fde55f4bf38664aefaab0f38c4
title: Edwards Aquifer, San Antonio Region, TX, USA, Transient CFPv2 Model (2001-2010)

description: This is the model data set for the Conduit Flow Process version 2 (CFPv2) model of the Edwards Aquifer in the San Antonio, TX, USA region.  The model simulates water movement through the aquifer matrix and karst conduits for calendar years 2001-2010.  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.
DOI: 10.4211/hs.93dbbcda406349e691030e92c882fb3a
title: Tompkins County Flood Expert Survey

description: This resource contains a survey and responses of flooding professionals within Tompkins County in 2018 to understand perceptions around flooding hazard and risk.  Further details are available in Knighton et al. (2018) Challenges to Implementing Bottom-Up Flood Risk Decision Analysis Frameworks: How Strong are Social Networks of Flooding Professionals? Hydrology and Earth Systems Sciences. DOI: 10.5194/hess-22-1-2018
DOI: 10.4211/hs.fbc1b5a9a00c4f6da7b4507321289d3f
title: Cibolo and Dry Comal Creek Texas, USA, SWAT Model Dataset

description: This is the Soil & Water Assessment Tool (SWAT) model dataset for the Cibolo and Dry Comal Creek basins in the San Antonio, TX region.  This SWAT model simulates streamflow and nitrate transport in two karstic watersheds for calendar  years 1996-2010.  The results of this model were published in Sullivan, T.P., Gao, Y., 2016. Assessment of nitrogen inputs and yields in the Cibolo and Dry Comal Creek watersheds using the SWAT model, Texas, USA 1996–2010. Environ Earth Sci, 75(9): 1-20. DOI:10.1007/s12665-016-5546-0.  The model output was also utilized in the manuscript, "Nitrate Transport in a Karst Aquifer: Numerical Model Development and Source Evaluation" submitted for publication with Water Resources Research.
DOI: 10.4211/hs.7419b3be90dc41ceb5394c6bbc99e075
title: Exploring Cooperative Transboundary River Management Strategies for the Eastern Nile Basin_Hydrology_Scenarios

description: The data set contained in this archive was developed and used to conduct a study titled 'Exploring Cooperative Transboundary River Management Strategies for the Eastern Nile Basin'.   The data set includes three ensembles of hydrologic inputs, each developed from a simulated annealing technique. A baseline ensemble uses statistical properties similar to historical conditions from 1900-2002. A second ensemble increases the interannual standard deviation of all inputs by 15%. A third ensemble increases the long-term persistence of all inputs by increasing the Hurst coefficient by 20%.  The data provides inputs for the Eastern Nile RiverWare Model (ENRMv3.3). The study explored cooperative management strategies between the countries of Ethiopia, Sudan and Egypt after the construction of the Grand Ethiopian Renaissance Dam using a multi-objective evolutionary algorithm. This results of this study have been published in Water Resources Research (https://doi.org/10.1029/2017WR022149).
DOI: 10.4211/hs.19d83ae2c25f4df79ceaa2195d26c239
title: Mississippi_River_Basin_Discharge_Series_USGS_Sampled_SWOT

description: Includes daily USGS streamflow measurements for 454 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, 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.deb0250d446441fd886a2e288b5a8a90
title: UEB model simulation of snow water equivalent for test watershed in the Colorado River Basin from 1988 to 2010

description: This is the model simulation of snow water equivalent for the watershed of Dolores River above McPhee reservoir in the Colorado River Basin from 1988 to 2010. The model used is the Utah Energy Balance model which is a physically based snow melt model.
DOI: 10.4211/hs.5d20a87ecc5b495097e073e4d5f58d0c
title: The Impact of Lateral Flow Parameterizations on Runoff 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 Runoff 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.e7f226e85b6e4196a484d6a5a2fbb9e5
title: Ward et al., ESSD, 2019 - FTICRMS

description: (update ESSD cross-ref)
DOI: 10.4211/hs.19024397586b42b0ae622b5a59b1d919
title: Ward et al., ESSD, 2019 - Network Geometry

description: (update ESSD Cross-ref when published)
DOI: 10.4211/hs.f4484e0703f743c696c2e1f209abb842
title: ESSD, 2019 - Data Collection

description: These data accompany the publication:

Ward, A. S., Zarnetske, J. P., Baranov, V., Blaen, P. J., Brekenfeld, N., Chu, R., Derelle, R., Drummond, J., Fleckenstein, J., Garayburu-Caruso, V., Graham, E., Hannah, D., Harman, C., Hixson, J., Knapp, J. L. A., Krause, S., Kurz, M. J., Lewandowski, J., Li, A., Martí, E., Miller, M., Milner, A. M., Neil, K., Orsini, L., Packman, A. I., Plont, S., Renteria, L., Roche, K., Royer, T., Schmadel, N. M., Segura, C., Stegen, J., Toyoda, J., Wells, J., Wisnoski, N. I., and Wondzell, S. M.: Co-located contemporaneous mapping of morphological, hydrological, chemical, and biological conditions in a 5th order mountain stream network, Oregon, USA, Earth Syst. Sci. Data. https://doi.org/10.5194/essd-11-1-2019
DOI: 10.4211/hs.6cc9446b42b34c99935ca9647253ab4a
title: Ward et al., ESSD, 2019 - Solute Tracers

description: (update with ESSD cross-reference)
DOI: 10.4211/hs.b686e62d9ead4cfb92f7ebe672acc3e8
title: Ward et al., ESSD, 2019 - Tabular Data

description: (add ESSD cross-reference here)
DOI: 10.4211/hs.af77b162b8db4e67a72cdf3fbf700b2d
title: Hurricane Harvey 2017 Story Map

description: This resource links to the Hurricane Harvey 2017 Story Map (Esri ArcGIS Online web app) [1] that provides a graphical overview and set of interactive maps to download flood depth grids, flood extent polygons, high water marks, stream gage observations, National Water Model streamflow forecasts, and several other datasets compiled before, during and after Hurricane Harvey.

References
[1] Hurricane Harvey Story Map [https://arcg.is/1GWyKi]
DOI: 10.4211/hs.4e26d2465d1f443c8537a79828427047
title: Hurricane Irma 2017 Story Map

description: This resource links to the Hurricane Irma 2017 Story Map (Esri ArcGIS Online web app) [1] that provides a graphical overview and set of interactive maps to download flood depth grids, flood extent polygons, high water marks, stream gage observations, National Water Model streamflow forecasts, and several other datasets compiled before, during and after Hurricane Irma.

References
[1] Hurricane Irma Story Map [https://arcg.is/19z9jL]

Referenced external maps
Irma crowdsource photos story map (NAPSG) [https://arcg.is/1WOr4b]
DOI: 10.4211/hs.8161a96a08474d12bba219852409be61
title: Hurricane Harvey 2017 Story Map

description: This resource links to the Hurricane Harvey 2017 Story Map (Esri ArcGIS Online web app) [1] that provides a graphical overview and set of interactive maps to download flood depth grids, flood extent polygons, high water marks, stream gage observations, National Water Model streamflow forecasts, and several other datasets compiled before, during and after Hurricane Harvey.

November 2023 updates:  Esri has deprecated the previous story map template, so a new story map has been generated. Most of the content is the same as before, with these exceptions: 
- The Vulnerabilities and the Harvey Stories pages have been removed, due to nonfunctioning web links to other Harvey resources out of our control. 
- Story map links to HydroShare resource pages have been updated to the most current HydroShare resource versions. 

References
[1] Hurricane Harvey Story Map [https://arcg.is/1rWLzL0]
DOI: 10.4211/hs.979c7b6e19e64269a0ae21875440b726
title: Texas Address and Base Layers Story Map

description: This resource links to the Texas Address and Base Layers Story Map (Esri ArcGIS Online web app) [1] that provides a graphical overview and set of interactive maps to download Texas statewide address points, as well as contextual map layers including roads, rail, bridges, rivers, dams, low water crossings, stream gauges, and others. The addresses were compiled over the period from June 2016 to December 2017 by the Center for Water and the Environment (CWE) at the University of Texas at Austin, with guidance and funding from the Texas Division of Emergency Management (TDEM). These addresses are used by TDEM to help anticipate potential impacts of serious weather and flooding events statewide.

For detailed compilation notes, see [2]. Contextual map layers will be found at [3] and [4].

November 2023 update:  in 2019, TNRIS took over maintenance of the Texas Address Database, which is now updated annually as part of the StratMap program [5]. Also, TNRIS changed its name this year to the Texas Geographic Information Office (TxGIO). The StratMap and DataHub download sites still use the tnris.org domain but that may change . 

References
[1] Texas Address and Base Layers story map [https://arcg.is/19PWu1]
[2] Texas-Harvey Basemap - Addresses and Boundaries [https://www.hydroshare.org/resource/d2bab32e7c1d4d55b8cba7221e51b02d/] 
[3] Texas Basemap - Hydrology Map Data [https://www.hydroshare.org/resource/5efdb83e96da49c5aafe5159791e0ecc/]
[4] Texas Basemap - Transportation Map Data [https://www.hydroshare.org/resource/106b38ab28b54f09a2c7a11b91269192/]
[5] TNRIS/TxGIO StratMap Address Points data downloads [https://tnris.org/stratmap/address-points/]
DOI: 10.4211/hs.392a8db2e9854c96a34c67c3ba774b03
title: Measured and projected hydrometeorological variables for three páramos in Colombia

description: The dataset presented in this resource are part of the hydrometeorological data measured in colombian páramos during the research project "Estudio ecohidrológicos de los páramos y los bosques alto andinos, naturales e intervenidos: Análisis de la vulnerabilidad y adaptabilidad al cambio climático" directed by the professor Conrado Tobón and financed by Colciencias through the the call for a bank of eligible projects in CT&i 569 - 2012.
DOI: 10.4211/hs.a1c032dbb78d48748b673c876c20b21c
title: Supplement for: Hydrological trade-offs due to different land covers and land uses in the Brazilian Cerrado

description: This is the supplement for: Anache, J. A. A., Wendland, E., Rosalem, L. M. P., Youlton, C., and Oliveira, P. T. S.: Hydrological trade-offs due to different land covers and land uses in the Brazilian Cerrado, Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2018-415, in review, 2018.

Farmland expansion in the Brazilian Cerrado, considered one of the largest agricultural frontiers in the world, has the potential to alter water fluxes on different spatial scales. Despite some large-scale studies being developed, there are still few investigations in experimental sites in this region. Here, we investigate the water balance components in experimental plots and the groundwater table fluctuation in different land covers: wooded Cerrado, sugarcane, pasture and bare soil. Furthermore, we identify possible water balance trade-offs due to the different land covers. This study was developed between 2012 and 2016 in the central region of the state of São Paulo, Southern Brazil. Hydrometeorological variables, groundwater table, surface runoff and other water balance components were monitored inside experimental plots containing different land covers; the datasets were analyzed using statistical parameters; and the water balance components uncertainties were computed. Replacing wooded Cerrado by pastureland and sugarcane shifts the overland flow (up to 42 mm yr-1), and water balance residual (up to 504 mm yr-1). This fact suggests significant changes in the water partitioning in a transient land cover and land use (LCLU) system, as the evapotranspiration is lower (up to 719 mm yr-1) in agricultural land covers than in the undisturbed Cerrado. We recommend long-term observations considering multiple scales to continue the evaluations initiated in this study, mainly because tropical environments have few basic studies at the hillslope scale and more assessments are needed for a better understanding of the real field conditions. Such efforts should be made to reduce uncertainties, validate the water balance hypothesis and catch the variability of hydrological processes.
DOI: 10.4211/hs.7704a2fc3d5e4da89c042164c623ba4f
title: Comparing Urban and Rural Streams

description: This notebook demonstrates how to use the Python package "hydrofunctions" to download stream discharge data from the NWIS and plot a stream hydrograph and a flow duration chart.
DOI: 10.4211/hs.29e2ec85770b42c881ef0750696463e5
title: CZO Network water budget data products

description: The US Critical Zone Observatories (CZOs) were created to advance understanding of the thin layer of the earth’s surface extending from unweathered bedrock to the top of the vegetation canopy. As part of this mission, each of the U.S CZOs is collecting and/or utilizing data for quantifying fluxes of water into and through the critical zone. This data resource collates common hydrological data from each of the U.S. CZOs, as a way of facilitating network-scale insight into the storage and transmission of water in the critical zone. Specifically, the data resource contains two “Levels” of data products. Level 1 data products are re-formatted versions of already existing data sets, such that variable units and the row-column orientation of each data set have been made standard to facilitate rapid utilization. Level 2 data products include basin-average estimates of precipitation, runoff, potential evapotranspiration, and transpiration which have been derived from Level 1 products. Specific methods for generating Level 2 data are outlined in the meta data, and detailed in a forthcoming publication by Wlostowski et al. (expected 2019).
DOI: 10.4211/hs.5d1356789c0c4f35addbe7dcddf12517
title: HydroShare tools and recommended practices for sharing and publishing data and models in support of collaborative reproducible research

description: HydroShare is a domain specific data and model repository operated by the Consortium of Universities for the Advancement of Hydrologic Science Inc. (CUAHSI) to advance hydrologic science by enabling individual researchers to more easily share products resulting from their research. The community platform supports, not just the scientific publication summarizing a study, but also the data, models and workflow scripts used to create the scientific publication and reproduce the results therein. HydroShare accepts data from anybody, and supports Findable, Accessible, Interoperable and Reusable (FAIR) principles. HydroShare is comprised of two sets of functionality: (1) a repository for users to share and publish data and models, collectively referred to as resources, in a variety of formats, and (2) tools (web apps) that can act on content in HydroShare and support web based access to compute capability. Together these serve as a platform for collaboration and computation that integrates data storage, organization, discovery, and analysis through web applications (web apps) and that allows researchers to employ services beyond the desktop to make data storage and manipulation more reliable and scalable, while improving their ability to collaborate and reproduce results. This presentation will describe the capabilities developed for HydroShare to support the full research data management life cycle. Data can be entered into HydroShare as soon as it is collected, and initially shared only with the team directly working on the data. As analysis proceeds, tools, scripts and models that act on the data to produce research results may be stored in HydroShare resources alongside the data. At the time of publication these resources may be permanently published and receive digital object identifiers and cited in research papers. Resources may themselves include citations to the research papers, thereby linking the publications to the supporting data, scripts and models. HydroShare design choices and capabilities for establishing relationships and versioning, based on simplicity, and ease of use, and some of the challenges encountered, will be discussed.

Poster IN53E-0656 presented at 2018 Fall Meeting, AGU, Washington, DC, 10-14 Dec, https://agu.confex.com/agu/fm18/meetingapp.cgi/Paper/424998.
DOI: 10.4211/hs.0e32189bd6f84d2d8b2f76cce06e3beb
title: SUMMA 2.0.0 master version

description: SUMMA (Clark et al., 2015a;b;c) is a hydrologic modeling framework that can be used for the systematic analysis of alternative model conceptualizations with respect to flux parameterizations, spatial configurations, and numerical solution techniques. It can be used to configure a wide range of hydrological model alternatives and we anticipate that systematic model analysis will help researchers and practitioners understand reasons for inter-model differences in model behavior. When applied across a large sample of catchments, SUMMA may provide insights in the dominance of different physical processes and regional variability in the suitability of different modeling approaches. An important application of SUMMA is selecting specific physics options to reproduce the behavior of existing models – these applications of "model mimicry" can be used to define reference (benchmark) cases in structured model comparison experiments, and can help diagnose weaknesses of individual models in different hydroclimatic regimes.

SUMMA is built on a common set of conservation equations and a common numerical solver, which together constitute the “structural core” of the model. Different modeling approaches can then be implemented within the structural core, enabling a controlled and systematic analysis of alternative modeling options, and providing insight for future model development.

The important modeling features are:

The formulation of the conservation model equations is cleanly separated from their numerical solution;

Different model representations of physical processes (in particular, different flux parameterizations) can be used within a common set of conservation equations; and

The physical processes can be organized in different spatial configurations, including model elements of different shape and connectivity (e.g., nested multi-scale grids and HRUs).
DOI: 10.4211/hs.73b38d6417ac4352b9dae38a78a47d81
title: swmm_mpc demonstration model

description: This is a SWMM5 model that used for demonstrating swmm_mpc, a Python package for simulating model predictive control using SWMM5 as the process model. swmm_mpc is on github: https://github.com/UVAdMIST/swmm_mpc. To run these, you will need to install the swmm_mpc python package or use the Docker image according to the instructions on the github repo readme. This model was used as a demonstration in the following manuscript:

Sadler, J. M., Goodall, J. L., Behl, M., Morsy, M. M., Culver, T. B., & Bowes, B. D. (2019). Leveraging open source software and parallel computing for model predictive control of urban drainage systems using EPA-SWMM5. Environmental Modelling & Software, 120, 104484. https://doi.org/10.1016/j.envsoft.2019.07.009
DOI: 10.4211/hs.43cb5e1100c44ba08e8df5e33f2941ef
title: NSF OAC Webinar: Advancing the capability for collaborative discovery through data and model sharing:  The HydroShare example.

description: This presentation will describe the development of the HydroShare (www.hydroshare.org) web-based hydrologic information system operated by the Consortium of Universities for the Advancement of Hydrologic Science Inc. (CUAHSI, www.cuahsi.org).  HydroShare has been developed as a domain specific repository for the hydrologic science research community to share and publish data and models such that they are Findable, Accessible, Interoperable and Reusable (FAIR principles).  As software, HydroShare was developed using an open development model with contributions from developers ranging from hydrology graduate students to seasoned developers.  As infrastructure, HydroShare has been developed with interoperability in mind to serve as a component in an ecosystem of interacting cyberinfrastructure elements. HydroShare is a system for advancing hydrologic science by enabling individual researchers to more easily and freely share products resulting from their research, not just the scientific publication summarizing a study, but also the data, models, and workflow scripts used to create the scientific publication.  It accepts data from anybody, and supports FAIR principles that help enable researchers meet the requirements of open data management plans.  HydroShare is comprised of two sets of functionality: (1) a repository for users to share and publish data and models in a variety of formats, and (2) tools (web apps) that can act on content in HydroShare and support web-based access to compute capability.  Together these serve as a platform for collaboration and computation that integrates data storage, organization, discovery, and analysis through web applications (web apps). HydroShare allows researchers to employ services beyond the desktop to make data storage and manipulation more reliable and scalable, while improving their ability to collaborate and reproduce results.

NSF OAC Webinar August16, 2018 https://www.nsf.gov/events/event_summ.jsp?cntn_id=296301&org=NSF
Recording on Youtube https://youtu.be/EAVLqIIpDRg
DOI: 10.4211/hs.c5232287d5c04bfb8cac5ce4e391ea0f
title: Hydrologic model: the vertically mixed runoff model (vmm)

description: We share the maltab code of  hydrologic model named vertically mixed model VMM, also it includes a Parameter optimization method  sce-ua.
DOI: 10.4211/hs.8d189963e3c543acae54a087e3aec238
title: Las Vegas wash contaminant tracking via DTS detection of groundwater-surface water mixing

description: The current scope involves three FO-DTS deployments, each 1km in length and for 5 days each. The site we are working on would like to evaluate groundwater discharge from the site into the river downgrade to facilitate discrete porewater sampling and evaluate potential plume migration.  Previous GSI studies have been conducted here; however, due to recent landscape changes a comprehensive seepage survey is desired.

Raw project data is available by contacting ctemps@unr.edu
DOI: 10.4211/hs.931df8e31b6d4ba9be4b291316a412c9
title: Distributed Temperature Sensing in an Aquifer Storage Recovery Injection Observation Well

description: We are performing an Aquifer Storage and Recovery injection test in a newly installed test well. A nearby well with a relatively long well screen interval will be used to sample recovered groundwater to assess water quality. The DTS cable will be installed in the nearby observation to determine the best depth to place a sampling pump for performing the water quality tests and to better evaluate potential vertical variations in relative aquifer transmissivity during the test. The DTS cable will be deployed in a locked environment at the City of Sonoma wellsite.

Raw project data is available by contacting ctemps@unr.edu