cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.4211/hs.2372f0c0a90d4061ae7f50a7f2a01cbd
title: Faculty Perspectives on a Collaborative, Multi-Institutional Online Hydrology Graduate Student Training Program

description: This resource contains the survey questions, compiled results, and code for Fisher's exact test, as associated with the following manuscript:

"Faculty Perspectives on a Collaborative, Multi-Institutional Online Hydrology Graduate Student Training Program" by  Anne J. Jefferson, Steven P. Loheide, and Deanna H. McCay.
Submitted to Frontiers in Water, in the research topic: “Innovations in Remote and Online Education by Hydrologic Scientists", May 2022

Abstract:
The CUAHSI Virtual University is an interinstitutional graduate training framework that was developed to increase access to specialized hydrology courses for graduate students from participating institutions. The program was designed to capitalize on the benefits of collaborative teaching, allowing students to differentiate their learning and access subject matter experts at multiple institutions, while enrolled in a single course at their home institution, through a framework of reciprocity. Although the CUAHSI Virtual University was developed prior to the covid-19 pandemic, the resilience of its online education model to such disruptions to classroom teaching increases the urgency of understanding how effective such an approach is at achieving its goals and what challenges multi-institutional graduate training faces for sustainability and expansion within the water sciences or in other disciplines. To gain faculty perspectives on the program, we surveyed water science faculty who had served as instructors in the program, as well as water science faculty who had not participated and departmental chairs of participating instructors. Our data show widespread agreement across respondent types that the program is positive for students, diversifying their educational opportunities and increasing access to subject matter experts. Concerns and factors limiting faculty participation revolved around faculty workload and administrative barriers, including low enrollment at individual institutions. If these barriers can be surmounted, the CUAHSI Virtual University has the potential for wider participation within hydrology and adoption in other STEM disciplines.
DOI: 10.4211/hs.31b56632213345db889a9eee981619f6
title: Quasi-global streamflow dataset from large sample datasets

description: Streamflow, precipitation, and potential evapotranspiration time series for 5015 catchments from different large-sample datasets: 720 gauges in Central Europe from the LamaH dataset (Klingler et al. 2021), 2683 gauges in the United States from the streamflow and basin characteristics dataset by Dudley et al. 2018 (Dudley18), 208 gauges in Australia from the CAMELS-AUS dataset (Fowler et al. 2021), 109 gauges in Chile from the CAMELS-CL dataset (Alvarez et al. 2018), 576 catchments in Great Britain from the CAMELS-GB dataset (Coxon et al. 2020), and 733 catchments in Brazil from the Catchments Attributes for Brazil (CABra) dataset (Almagro et al. 2021).
DOI: 10.4211/hs.b61e477a7d8c466f980e4473ada83341
title: Ecosystem metabolism in sub-Antarctic streams and rivers impacted by non-native beaver

description: Paper abstract: Beavers can modify the hydrology, morphology, chemistry, and biology of ecosystems, though we have limited understanding of how beaver activity alters whole-ecosystem functions. We analyzed the effect of beaver activity and beaver dams on ecosystem metabolism in sub-Antarctic streams and rivers, where beavers are a non-native species. We characterized ecosystem metabolism (gross primary production and ecosystem respiration, GPP and ER) during 1-4 days in six streams and rivers with current beaver activity and dams (active) and three streams with no dams and no beavers (abandoned). Current beaver activity enhanced metabolism; GPP and ER were higher in sites with beaver activity than in more heterotrophic, abandoned sites. Beavers affect whole-ecosystem metabolism despite no detectable effects on physical and chemical variables in sub-Antarctic streams and rivers.
DOI: 10.4211/hs.21f7b428df14455788f4c7d03dfd1de0
title: Lets make our research more reproducible to accelerate science and increase impact

description: We believe that reproducing results accelerates our science and engineering and increases the number of people who can access, learn by doing, and extend research. To accelerate our fields and increase impact, we partnered with the Environmental Water Resources Institute (EWRI), American Society of Civil Engineering (ASCE) Publishing, and the Journal of Water Resources Planning and Management. We launched a new program where authors opted in, shared all research materials in a public repository, then asked the Journal to use materials to independently reproduce all figures, tables, and results. One year in, we published the first papers with reproduced results free open access to the authors (Journal special collection on articles with reproducible results). The papers were also published with bronze and silver badges because they shared all materials in a public repository and the Journal reproduced results. We also recognized outstanding author and reviewer efforts to make results reproducible and reproduce results. Want to publish a paper with more impact, learn by doing, or expand the program to a new journal? Attend this plenary talk.

Bio - David E. Rosenberg is a professor at Utah State University. He started the reproducible results program with David Watkins (Michigan Technological University), Jim Stagge (Ohio State University), Adel Abdallah (Western States Water Council), Amber Spackman Jones (Utah State University), Yves Filon (Queen’s University), Rebecca Teasley (University of Minnesota Duluth), Samuel Sandoval-Solis (University of California, Davis), Anthony Castronova (CUAHSI), and Avi Ostfeld (Technion—Israel Institute of Technology) to increase the number of persons who can access, use, and extend work published in an ASCE journal.

Talk is June 7, 2022, 9 am at Environmental Water Resources Institute World Congress, Atlanta, GA. https://www.ewricongress.org/

This resource contains the powerpoint presentation for the talk and the MS Word version of the abstract.
DOI: 10.4211/hs.9034fa75324d46299984b681c54218e9
title: Storm surges, Waves, Hydrodynamics and Vegetation Surveys in Karen Noonan Center and Blackwater National Wildlife Refuge, MD, USA (2020-2021)

description: These datasets include measurements of hydrodynamic (currents and water levels) and wave conditions, vegetation bio-mechanic characteristics (biomass, stem height, diameter, and density), and topo-bathymetric features during the period of (2020-2021) that were measured in the field during extreme events, regular tidal cycles, and over different seasons. This dataset provides the information for the campaigns in the Karen Noonan Center within the Blackwater National Wildlife Refuge, Maryland, USA. Hydrodynamic measurements were carried out with Acoustic Doppler Current Profilers (ADCPs) (Aquadopp Nortek 2 MHz) and RBR D-wave sensors; vegetation surveys included the measurements of vegetation height, diameter and stem spacing using randomly placed 0.25 m2 quadrats on the ground surface. The sensors, topo-bathy data and vegetation measurement’s locations are georeferenced using a differential GPS Trimble R4. SAV measurements (when present) were carried out by using haphazardly placed 0.25m2 quadrats. At each site, the team measured 1) total SAV percent cover, 2) percent cover of each individual species, 3) canopy height, 4) epiphyte presence on SAV leaf blades, and 5) water depth. 
This field work is part of the project “EESLR 2019: Quantifying the benefits of natural and nature-based features in Maryland’s Chesapeake and Atlantic Coastal Bays to inform conservation and management under future sea level rise scenarios” funded by NOAA (Award# NA19NOS4780179). The project is a collaboration between George Mason University, the Maryland Department of Natural Resources (DNR) and The Nature Conservancy (TNC). The overall goal of the project is to quantify the wave attenuation and flood reduction benefits of marshes, SAV and other natural and nature-based features (NNBF) along the shores of Maryland’s Chesapeake and Atlantic Coastal Bays. This project will inform management actions by DNR to maintain or enhance the ecosystem services of marshes and other natural features on state-owned lands; re-evaluate Chesapeake Bay SAV restoration goals; improve existing conservation prioritization tools; and provide relatable, local examples to advance efforts by DNR, TNC, Eastern Shore Land Conservancy (ESLC) and others to promote the use of NNBF in county and municipal adaptation plans.
DOI: 10.4211/hs.46acbbffe3784706906cfb8cd5d4e324
title: Lets make our research more reproducible to accelerate science and increase impact

description: Quick links:
 + Sign up to help reproduce results (learn by do): https://tinyurl.com/ReproduceResults
 + Reproduce pledge: https://tinyurl.com/ReproducePledge

We believe that reproducing results accelerates our science and engineering and increases the number of people who can access, learn by doing, and extend research. To accelerate our fields and increase impact, we partnered with the Environmental Water Resources Institute (EWRI), American Society of Civil Engineering (ASCE) Publishing, and the Journal of Water Resources Planning and Management. We launched a new program where authors opted in, shared all research materials in a public repository, then asked the Journal to use materials to independently reproduce all figures, tables, and results. One year in, we published the first papers with reproduced results free open access to the authors (Journal special collection on articles with reproducible results). The papers were also published with bronze and silver badges because they shared all materials in a public repository and the Journal reproduced results. We also recognized outstanding author and reviewer efforts to make results reproducible and reproduce results. Want to publish a paper with more impact, learn by doing, or expand the program to a new journal? Attend this plenary talk.

Bio - David E. Rosenberg is a professor at Utah State University. He started the reproducible results program with David Watkins (Michigan Technological University), Jim Stagge (Ohio State University), Adel Abdallah (Western States Water Council), Amber Spackman Jones (Utah State University), Yves Filon (Queen’s University), Rebecca Teasley (University of Minnesota Duluth), Samuel Sandoval-Solis (University of California, Davis), Anthony Castronova (CUAHSI), and Avi Ostfeld (Technion—Israel Institute of Technology) to increase the number of persons who can access, use, and extend work published in an ASCE journal.

Talk is June 7, 2022, 9 am at Environmental Water Resources Institute World Congress, Atlanta, GA. https://www.ewricongress.org/

This resource contains the powerpoint presentation for the talk and the MS Word version of the abstract.
DOI: 10.4211/hs.3c831dbc381d41a290f3d0cacdf4a8a4
title: DWCZ - CO - Manitou Experimental Forest, Hotel Gulch -  Water Chemistry - (DWCZ-MEF-HG-GW-SW-Array-SBush) - (2018-2021)

description: NOTE: This resource represents the data as presented in Sidney Bush’s dissertation, working title: “Spatiotemporal Patterns in Hydrologic Connectivity in a Montane Headwater System in Central Colorado.”

Surface water samples were collected within Hotel Gulch from 2018 to 2021. Samples were regularly collected at over 30 sites in total, including both surface water and groundwater. Sampling occurred during the spring, summer, and into the fall. Storm flows were also sampled on occasion.

All chemistry samples were analyzed at the University of Colorado Boulder / Institute of Arctic and Alpine Research. Major cations and anions were analyzed on the IC in the Ecohydrology Laboratory, and isotope samples were analyzed in the Stable Isotope Laboratory.

Location: Hotel Gulch is within the Manitou Experimental Forest. The area contains a series of alluvial and colluvial fans, which are indicative of historic debris-flow scars. Equipment is installed within these alluvial/colluvial fans at increasing distances from the stream. Stream sites are measured along a longitudinal profile, starting from the headwater and extending to the lowest site just upstream of the flume.

Please formalize metadata for locations.

PLEASE SEE RELATED FOR MORE DWCZ SOIL MOISTURE / SOIL TEMPERATURE DATA.
DOI: 10.4211/hs.fa49d7f16703447b9e04552cc532936d
title: Dataset for 'STAEBLE: A surface temperature & avaliable energy based lake evaporation model'

description: This dataset is part of the article entitled 'STAEBLE: A surface temperature & avaliable energy based lake evaporation model' from Dias, Hoeltgebaum and Santos, submitted to the Water Resources Research journal in June 2022. More detail on the processing and source of data and methods of calculations can be seen in the article.
DOI: 10.4211/hs.83c2ac39fced4ab98ca7c2b5e6706261
title: Software (and data) for "Modelling the role of compaction in the three-dimensional evolution of depositional environments"

description: This dataset includes:
1) executable of NATSUB3D simulator (Linux-based machine with x86_64 processor);
2) input data for CASE A (marsh thickening);
3) input data for CASE B (oxbow lake filling):;
4) input data for CASE C (lobe progradationg).
DOI: 10.4211/hs.46747d77d0ce4995b1e1d58384e15a09
title: Video of LGAR

description: This is a video visualizing how LGAR, or Layered Green Ampt with redistribution, works. The red line in the top panel represents the maximum possible soil moisture, the dotted lines indicate soil layer boundaries, and the purple line in the bottom panel indicates the current time.
DOI: 10.4211/hs.ae2d15e96c854b4c88bbd9514c706118
title: Quantifying uncertainty of incipient motion thresholds in gravel-bedded rivers using a grain-scale force-balance model: Dataset

description: This dataset includes all incipient motion and bedload flux datasets used in support of Feehan et. al. (2023) "Quantifying uncertainty of incipient motion thresholds in gravel-bedded rivers using a grain-scale force-balance model". Use of datasets described within manuscript.
DOI: 10.4211/hs.0d67210d46a24ee184e1b8430dc3953e
title: Time-series trace element concentration data for dissolved loads of the Irrawaddy, Salween, Sittaung and Kaladan rivers; August 2017 to October 2019

description: Time-series data for dissolved (< 0.22 μm) trace element data (Sr, Fe, Al, Ba, Mn, V, Rb, Cu, Zn, As, Li, Ni, Mo, Cr, U, Pb, Sb, Co, Cs, Tl and Cd) for the riverine dissolved loads within the Irrawaddy, Salween, Sittaung and Kaladan river catchments. Data are presented for 38 different locations between August 2017 and October 2019 for a total of 550 samples.
DOI: 10.4211/hs.ec3c5368c2a34a3ab4a4dc3fea796b06
title: DWCZ - CO - Manitou Experimental Forest, Hotel Gulch - Ground Water Levels - (DWCZ-MEF-HG-GW-Array-SBush) - (2018-2021)

description: Abstract

NOTE: This resource represents the data as presented in Sidney Bush’s dissertation, working title: “Spatiotemporal Patterns in Hydrologic Connectivity in a Montane Headwater System in Central Colorado.”

This dataset was collected in Hotel Gulch, located within the Manitou Experimental Forest in central Colorado. Wells were installed to measure groundwater table depths and water temperature at 5-minute intervals. A total of 19 wells were monitored.

Please see the formal metadata for site locations.

Manual groundwater measurements were collected with a beepy tape to calibrate the HOBO pressure transducers. These calibrations were not used in the final analysis.

PLEASE SEE RELATED RESOURCES FOR ADDITIONAL DWCZ SOIL MOISTURE AND SOIL TEMPERATURE DATA.
DOI: 10.4211/hs.94562ee797034c02ba9863b9d1587768
title: Data for Development of the cubature consider Kalman filter to improve state estimation of hydrological models by accounting for parameter uncertainty

description: aa
DOI: 10.4211/hs.73a4997ae99c4357a79c8bb6bba5f8c6
title: 30-yr hindcast of Surface Routing data, Hydrologic data, and Sediment data for Southwest Louisiana

description: WRF_Hydro_Sed was developed by the Coupled Ocean Modeling group at Louisiana State University. As a processed-based, fully distributed hydrologic and soil erosion model, WRF_Hydro_Sed accounts for overland processes. This dataset contains 1) a 30-yr hindcast of Surface Routing data, Hydrologic data, and Sediment data for Southwest Louisiana, 2) source code of WRF-Hydro-Sed, 3) a readme file for the code and 4) a readme file for the model output. For more details please contact Z. George Xue (email: zxue@lsu.edu).
DOI: 10.4211/hs.8a5d36ac9386418da0fb1c990a797102
title: Assess Hydrological Models

description: Use this Colaboratory workbook (implements an RNN) to assess the simulations of hydrological models. The latest version of this workbook can be found at:
https://drive.google.com/file/d/1vdV01gI5vf_DP2NVMMHtYmhIDhZMvUOe/view?usp=share_link

Along with the workbook, an example data file (data.zip) is also provided.  This data file contains three case studies. Set the variable values according to the following for each one of the three case studies of the data.zip.

# LRHM applied to Bakas
DATASTARTROW= 2581
INP= [ 7,13,16,18 ]
TRG= 1
PDT= 0.70
SEQLEN=10

# LRHM applied to Alagonia
DATASTARTROW= 3690
INP= [ 7,13,14,20 ]
TRG= 2
PDT= 0.70
SEQLEN=10

# LRHM applied to Karveliotis
DATASTARTROW= 2553
INP= [ 7,13,14,22 ]
TRG=3
PDT= 0.70
SEQLEN=10



For more information, see [1].

1. E. Rozos, P. Dimitriadis, and V. Bellos, Machine Learning in Assessing the Performance of Hydrological Models, Hydrology, doi:10.3390/hydrology9010005 , 9(1), 5, 2021.
DOI: 10.4211/hs.0ee8785b807d41ec9e10b84d074d2b75
title: DWCZ - CO - Manitou Experimental Forest, Hotel Gulch - Soil Temperature and Soil Moisture (DWCZ-MEF-HG-SMST-Array) - (2019–2022)

description: Soil sensors were installed to measure soil water content at multiple depths. Data span from June 2019 through March 2022, with some sites ending in October 2021.

This resource represents the data as presented in Sidney Bush’s dissertation, working title: “Spatiotemporal Patterns in Hydrologic Connectivity in a Montane Headwater System in Central Colorado.” The “SBush” identifier in the title denotes Bush’s authorship and contribution.

Location Description: Hotel Gulch is located within the Manitou Experimental Forest in central Colorado. The area contains a series of alluvial and colluvial fans, indicative of historic debris-flow scars. Equipment is installed within these fans at increasing distances from the stream. Stream sites are measured along a longitudinal profile, beginning at the headwater and extending to the lowest site just upstream of the flume.

Please see the formal metadata for sensor coordinates and specifications.

Related Resources: Additional DWCZ soil moisture and soil temperature datasets are available in linked HydroShare resources.
DOI: 10.4211/hs.ff44cdaf34014afcaf8301202dfff871
title: DWCZ - CO - Manitou Experimental Forest, Hotel Gulch - Electrical Conductivity & Temperature (HOBO) - (MEF-HG-EC-Array-SBush) - (2018–2021)

description: NOTE: This resource represents the data as presented in Sidney Bush’s dissertation, working title: “Spatiotemporal Patterns in Hydrologic Connectivity in a Montane Headwater System in Central Colorado.”

Stream equipment was installed to measure electrical conductivity and temperature (HOBO). Grab samples were also collected for cations, anions, stable isotopes of water, and dissolved organic carbon (DOC).

Location Description: Hotel Gulch is within the Manitou Experimental Forest in central Colorado. The area contains a series of alluvial and colluvial fans, indicative of historic debris-flow scars. Equipment is installed within these fans at increasing distances from the stream. Stream sites are measured along a longitudinal profile, beginning at the headwater and extending to the lowest site just upstream of the flume.

Manual EC measurements were collected, but data from sites without EC probes were not used in the final analysis.
DOI: 10.4211/hs.9170fbd4f5de4c029728c815d9b37590
title: Soil hydraulic properties dataset in Debre Mawi, Ethiopia

description: Soil profile texture analysis was done using hydrometer and dry/wet sieve analyses on total of 27 soil samples from three hillslope transects, three hillslope position and three soil profile depths. Saturated hydraulic conductivity was measured in the field using Guelph Permeameter and soil water potential was measured using WP4C and HYPROP instruments in the lab from 9 soil samples from one hillslope transect. Details on all methods used for soil characterization and soil hydraulic properties as well as background information on Debre Mawi watershed from where the soil samples were taken can be found in https://doi.org/10.1016/j.jhydrol.2022.129031
DOI: 10.4211/hs.e0cbe52ad4524c07bb5b7ff8c373a343
title: Colorado River Basin Accounts: Provoke discussion about more adaptive operations

description: The purpose of this activity is to provoke participants to discuss more adaptive Colorado River operations than existing operations that equalize reservoirs and expire in 2026. Participants use a Google Sheet to consume, save, and trade water in 6 basin accounts, protect Lake Powell and Lake Mead, sustain endangered, native fish of the Grand Canyon, and discuss. Follow the requirements and facilitation directions in the readme.md file.

CONTENTS:
1) readme.md - Requirements, facilitation directions, publications, file contents, and more.
2) Basin Accounts Tool - ColoradoRiverBasinAccounts.xlsx. Move into Google Sheets and follow Facilitation Directions (in readme.md). Or open ReadMe-Directions Worksheet.
3) Lets Start - ColoradoRiverBasinAccounts-LetsStart.pdf. Visual directions.
4) Model Guide - https://github.com/dzeke/ColoradoRiverCoding/blob/main/ModelMusings/Support/ModelGuide/ModelGuide-CombinedLakePowellLakeMead.md. Online. 
5) Manuscript - 3-LessonsUseGoogleSheetsZoomToDiscussMoreAdaptiveColoradoRiverOperations.docx. Write up for publication as a journal article. Cite-able version at https://digitalcommons.usu.edu/cee_facpub/3778/.
DOI: 10.4211/hs.2fe0f6bd674041df9d7cea9a4bfd9969
title: DWCZ - CO - Manitou Experimental Forest, Hotel Gulch - Stage Q, Streamflow/Discharge - (MEF-HG-SW-Q-SBush) - (2019–2020)

description: Title: DWCZ - CO - Manitou Experimental Forest, Hotel Gulch - Stage Q, Streamflow/Discharge - (MEF-HG-SW-Q-SBush) - (2019–2020)

Abstract:
NOTE: This resource represents the data as presented in Sidney Bush’s dissertation, working title: “Spatiotemporal Patterns in Hydrologic Connectivity in a Montane Headwater System in Central Colorado.”

Hotel Gulch is within the Manitou Experimental Forest in central Colorado. The area contains a series of alluvial and colluvial fans, indicative of historic debris-flow scars. Equipment is installed within these fans at increasing distances from the stream. Stream sites are measured along a longitudinal profile, beginning at the stream headwater and extending to the lowest site just upstream of the flume.

Stream equipment was installed to measure stream stage.

Sensor array IDs and descriptions — please see the formal metadata for site locations.