cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.4211/hs.6bebe63a3d564ecbaa78b8919260b3c0
title: Water Level Measurements; Gensburg Markham Prairie; 2016-2020

description: Gensburg Markham Prairie comprises over 100 acres of well-preserved tallgrass prairie and wetland south of Chicago and is one of the Indian Boundary Prairies in Illinois. A U.S. National Natural Landmark, this site is valuable as a sentinel ecosystem for changing regional climate and a reference ecosystem for restoration and management of urban prairie nature preserves. In June of 2016, 13 piezometers containing water level sensors (InSitu LevelTroll 400 pressure transducers) were installed throughout the prairie, in addition to 8 of the same sensors deployed in ditches and surface channels in and around the prairie. The installation coincided with soil sampling and manual-visual characterization at each well location. Each sensor collects a water level measurement every 30 minutes. This installation and sampling campaign is a part of larger effort to assess surface water and groundwater dynamics in urban environments. Additional sensors, including soil moisture sensors, provide supplementary data for this project. This resource includes 46 months of data from 2016-2020.
DOI: 10.4211/hs.99ac50f1dfa34faf81ab7976e3d8cfda
title: (HS 7) Jupyter Notebook for RHESSys Modeling Workflow: Toward Seamless Environmental Modeling

description: This HydroShare resource offers Jupyter Notebooks for the RHESSys modeling workflow, employing the conventional, GeoServer and THREDDS approaches across Coweeta Subbasin 18, NC; Spout Run, VA; and Scotts Level Branch, MD. For instructions on running the Jupyter Notebooks, please refer to the provided README file within this resource.
DOI: 10.4211/hs.1cafaccac14a4748a5260faf88f04781
title: Isotopic Composition in Streamflow, Groundwater, and Precipitation in the Merced River, Sierra Navada, California, USA

description: Isotopic composition (delta18O and delta2H) in stream water, springs, groundwater, and precipitation was acquired for 2006-2008 to understand the impact of declining snowpack on hydrometeorologic and hydrologic processes in the mid Merced River catchment (1,873 km2), Sierra Nevada, California. The data is self-explanatory, with a Readme file containing site information including full names and geographic locations. It is recommended that any users who want to incorporate the data into their own studies consult with the author (Fengjing Liu at fliu7@mtu.edu) to see if similar studies are being conducted by the author and others.
DOI: 10.4211/hs.22b387e032844bb6ad175da22442a7e7
title: Supporting data for publication (Groundwater level forecasting using machine learning: A case study of the Baekje weir in Four Major Rivers Restoration Project, South Korea)

description: Understanding the impact of human-made structures on groundwater levels is crucial, with structures like dams or weirs presenting both challenges and opportunities for study. The Baekje weir in South Korea offers an unique case as it has undergone full gate openings, a condition not typically observed in weirs and reservoirs, providing a unique opportunity to simulate conditions resembling weir removal. The primary objectives include investigating groundwater level fluctuations influenced by various weir operations, proximity to the weir, and seasonal variations. The study employs observed data to simulate conditions both with and without the weir, encompassing scenarios of full gate opening. This research illuminates the intricate interplay between weir manipulations and groundwater levels, offering practical knowledge for the management of water resources in comparable hydrogeological environments. This research is part of the submission WaterResourcesResearch2022WR032779RRRR to the journal Water Resources Research, aiming to deepen our understanding of how such structures impact water resources.
DOI: 10.4211/hs.99a519121cbe4a45abeed069b18f215d
title: Geochemical data of Lake Jackson, FSU Groundwater Well, and Wakulla Spring during the 2021-2022 Lake Jackson dry-downs

description: This is the code and data used in the manuscript corresponding to "Impacts of Lake Dry-Downs on Groundwater Geochemistry for a Sinkhole Lake in Florida".  This data resource contains tabular water quality data within the Wakulla Springshed following the 2021 and 2022 Lake Jackson dry-downs. This contains major ion chemistry of Lake Jackson, the FSU Groundwater well, and Wakulla Spring at a weekly interval for 2021.. Additionally, daily samples of the FSU Well were collected for the 2022 dry-down. Raw data were collected by IC and titration, and reported in mg/L. Processed data are reported in meq/L. A Jupyter Notebook is included to detail processing steps, production of all plots created for the manuscript, and statistical analyses between the ionic concentrations of the 2021 and 2022 samples.
DOI: 10.4211/hs.bc14db4a50bd4d89bb750126a0a1ba79
title: (HS 6) RHESSys Spatial Input Data for RHESSys Modeling Workflow: Toward Seamless Environmental Modeling

description: This HydroShare resource provides raw spatial input data for executing RHESSys workflows at 1- Coweeta Subbasin 18, North Carolina, 2- Scotts Level Branch, Maryland, and 3- Spout Run, Virginia. Assessing the conventional data distribution approach, these spatial datasets were manually collected and shared at the file level through small files.

Additoinally, the GeoServer and TDS approach will only use the observation data from this resource.
DOI: 10.4211/hs.b29b912d122d490181f1d98a91f11c8b
title: Model Files for "Impact of climate change on storm event based flow regime and channel stability of urban headwater streams"

description: This resource archives Model files supporting the paper "Impacts of climate change on storm event based flow regime and channel stability of urban headwater streams".
The abstract for this paper follows: "Due to the recent improved availability of global and regional climate change (CC) models and associated data, the projected impact of CC on urban stormwater management is well documented. However, most studies are based on simplified design storm analysis and unit-area runoff models but studies on evaluation of long-term, continuous hydrologic response of extensive stormwater control measures (SCM) implementation under future CC scenarios are limited. Moreover, channel stability in response to CC is seldom evaluated due to the challenge associated with developing a long term, continuous sediment transport model. The study objective was to evaluate the impact of CC on storm event based flow regime and channel stability in a small, urbanized catchment (0.9 km2) in Montgomery County, Maryland, USA. This study employed a previously developed well-calibrated, coupled hierarchical modeling approach, integrating a watershed-scale Storm Water Management Model (SWMM) with the Hydrologic Engineering Centers River Analysis System (HEC-RAS) to achieve its goal. Ensemble modeling results indicates that conclusions related to CC impacts of SCM induced flow drawn from simplified, unit area models are very much different from dynamic, continuous simulations that consider the complexities of real urban catchments and SCM interactions. Despite a general decrease in total rainfall amount for most storm events, there is a noted increase in intensity for nearly all future storm events compared to current climatic conditions. This change in storm event-based rainfall pattern is expected to drive the catchment scale hydrology to a flashier regime in future which in turn is expected to increase the extent of channel erosion compared to the current climate condition. A multicriteria design approach considering the interplay of multiple SCMs and local sediment transport capacity is thus necessary to ensure channel stability under changing climate."
DOI: 10.4211/hs.90bf9b575b684c849e617f620c2d63fb
title: Triple Collocation based Merged Dataset for Convective Triggering Potential (CTP) and Humidity Index (HI)

description: This resource introduces a merged dataset, integrating Convective Triggering Potential (CTP) and Humidity Index (HI) from three established reanalysis products: the Modern-Era Retrospective Analysis for Research and Applications, version 2 (MERRA2), Climate Forecast System Reanalysis (CFSR), and the European Centre for Medium-Range Weather Forecasts Reanalysis v5 (ERA5). This innovative dataset, crafted using the Triple Collocation (TC) method, addresses the challenges posed using single-source reanalysis data and offers a more reliable representation of atmospheric conditions. It mitigates biases associated with individual datasets and compensates for satellite-derived estimates' shortcomings, such as missing observations and lower vertical resolution. This merged CTP-HI product offers a robust alternative to single-source datasets, enhancing accuracy in characterizing atmospheric conditions and addressing the limitations of satellite-derived data. Verification against the Integrated Global Radiosonde Archive version 2 (IGRA2) in-situ measurements and Atmospheric Infrared Sounder version 7 (AIRSv7) satellite observations ensure reliability for meteorological research. The dataset provides a valuable tool for analyzing atmospheric stability and humidity, with potential implications for weather prediction and climate research.
DOI: 10.4211/hs.0c4d1d56cc0e40109e92cab6f4519d73
title: Examining the Effects of Climate Change on Managed Lowland Rivers in the California Bay Delta Watershed

description: Water that is released from reservoirs can affect the downstream thermal regimes of rivers.  During the summer months, these flow releases can lower the river temperature downstream of dams in an extension that mainly depends on the volume and temperature of these releases and the energy exchange with the overlying atmosphere. The benefit of this cooling effect has been suggested as an approach to mitigate the effects of climate change in downstream-regulated rivers. However, anticipated climate change conditions may weaken these cooling benefits, especially in managed lowland rivers (MLRs), as they are subjected to large withdrawals, are shallow, and convey clear water. Here, we show that MLRs in the California Bay Delta Watershed are vulnerable to water temperature increases, especially during future summer months subjected to a future high-emission greenhouse scenario. Low-flow conditions exacerbate this vulnerability, especially at locations downstream of high-flow diversions. By using a physical energy balance model (FLUVIAL-EB) paired with a downscaled climate regional model (CRCM5-RCP8.5), we found that for summer months between 2030 and 2100, longwave and latent heat fluxes will contribute to water temperature increases, while absorbed solar radiation will likely decrease under future climate scenarios.  Despite the warming effects of climate change on MLRs in the California Bay Delta Watershed, our findings suggest that increasing the release of hypolimnetic water from reservoirs during summer months can be a viable solution to mitigate the river temperature increase.
DOI: 10.4211/hs.45612ce99ff54b17bcc40bb227f9ecd6
title: inSALMO Application  - Model evaluation of Stage 0 treatment on juvenile spring Chinook in the South Fork McKenzie River, Oregon.

description: Low-tech river habitat restoration techniques, including Stage 0 treatments, are increasingly applied but often lack robust evaluation of their effects and benefits. In 2018, one kilometer of the South Fork McKenzie (SFMK) River OR was modified to Stage 0 conditions for the benefit of ESA-listed Chinook salmon by raising the incised channel to the geomorphic grade line, reconnecting relic side channels, increasing floodplain connectivity, and distributing large wood throughout the reach. Field observations indicated depths and velocities were lower at the treated site than at the untreated site. To understand how these changes in physical habitat may translate into changes in juvenile Chinook length, abundance, and emigration timing, this study combined field observations with the individual-based model inSALMO. Model results indicated the new habitat conditions can produce longer outmigrants, a result of rearing longer in the treated reach than the untreated reach. The treated reach also produced more outmigrants at the end of the season in dry and typical water years, a result of greater higher quality habitat conditions (lower velocities and depths, more cover) that favored fish remaining in the reach. No evidence of the treatment on spawning or incubation success was found. Numerical experimentation indicated that, under both treated and untreated conditions, outmigrant abundance was more sensitive to changes in temperature than to food resources, due to the particularly low temperatures released from an upstream dam impacting hatching success within this site. Mean outmigrant length was more sensitive to changes in food availability than temperature. Collectively, the model results demonstrated that the Stage 0 activities at SFMK may increase juvenile length and number of reared individuals, though results should be evaluated across the diverse styles of Stage 0 projects. Further, the methods reflect the utility of moving beyond species-habitat relationships as a tool in evaluating restoration practices.
DOI: 10.4211/hs.8aa14e6af1fc4f8e89d325f55c08bcb7
title: Collaborative Knowledge Braiding for Restoration Wuda Ogwa

description: The restoration of culturally significant landscapes poses formidable challenges given more than 160 years of settler-colonial land use change and a rapidly changing climate. A novel approach to these challenges entails braiding Indigenous and western scientific knowledge. This case study braids Indigenous plant knowledge, species distribution models, and downscaled climate models to inform restoration of the Bear River Massacre site in Idaho, now stewarded by the Northwestern Band of the Shoshone Nation. MaxEnt species distribution models were used to project the future spatial distribution of culturally significant plant species under medium (SSP2-4.5) and high (SSP5-8.5) emissions scenarios. These results support revegetation priorities and approaches, identified by tradeoffs between each species’ current and future suitability. This research contributes to a knowledge-braiding approach around the analysis of climate risks, vulnerabilities, and restoration possibilities for the Wuda Ogwa ecological restoration site.
DOI: 10.4211/hs.a0fc9c33ed9c430e9b5299d38369c3d0
title: Continuous Ambient Noise Seismic Data at Central O‘ahu, Hawai‘i

description: Continuous Ambient Noise Seismic Data acquired in the Central part of O‘ahu, Hawai‘i for the ‘Ike Wai project.  SeisComP Data Structure (SDS) filled with daily miniseed files for each sensor and each component, as well as instrument response files.
DOI: 10.4211/hs.0fa38cceb83344909bd51d3d0fec4fc8
title: Bedrock controls on water and energy partitioning

description: Data, code, and figures (QGIS map) for "Bedrock controls on water and energy partitioning" manuscript.

REV_dataCreation.ipynb:
Revised Jupyter Notebooks python script outlining data creation process.

REV_analysis.ipynb:
Revised Jupyter Notebooks python script outlining data analyses processes.

REV_figures_and_stats.ipynb:
Revised Jupyter Notebooks python script outlining figure creation and statistical analysis.

Water_Balance_Comparison_for_Asynchronous_CONUS.ipynb -
Jupyter Notebooks python script outlining the process used to create supplementary figure S2.

REV_conus_med.qgz -
QGIS project file containing figures found in the manuscript.

GeoTIFFs:

misc.tif -
doy: Median first day of year when Sbedrock(my) must be used for ET (-)
may: Median latent heat flux associated with bedrock-derived ET in May (W/m^2)
june: Median latent heat flux associated with bedrock-derived ET in June (W/m^2)
july: Median latent heat flux associated with bedrock-derived ET in July (W/m^2)
august: Median latent heat flux associated with bedrock-derived ET in August (W/m^2)
september: Median latent heat flux associated with bedrock-derived ET in September (W/m^2)
reset: Number of instances where the deficit reset during the study period (-)

raster.tif -
median ppt: Median annual precipitation (mm)
median et: Median annual evapotranspiration (mm)
median pet: Median annual potential evapotranspiration (mm)
Ssoil: Soil Water Storage Capacity (reported by gNATSGO) (mm)
median Sr a: Median Annual Root-Zone Storage Capacity using the Annual Resetting Method (mm)
Sbedrock a: Median Annual Sbedrock derived using the Annual Resetting Method (mm)
median Sr my: Median Annual Root-Zone Storage Capacity using the Multi-Year Deficit Accrual Method (mm)
Sbedrock my: Median Annual Sbedrock derived using the Multi-Year Deficit Accrual Method (mm)
ASI: Asynchronicity Index (via Feng et al., 2019) (-)
pet/ppt: Aridity Index (-)
et/ppt: Evaporative Index (-)
landcover: NLCD USGS 2016 landcover

readme.txt - 
Readme file outlining the raster math process used to create figures in QGIS that are not exported using the Jupyter Notebooks.
DOI: 10.4211/hs.31b908b569b64beabfd9e7762c060110
title: Dole Plantation Self Potential map

description: Self Potential survey for ‘Ike Wai aim at understanding underground water circulations in the coastal area and across the High-Low divide (Big Island) as well as in valley/ridge systems and across the natural hydrogeological “dams” (O’ahu). The objective is to enhance our understanding of ground water flows and aquifer depths in the areas studied. Combined with other datasets (seismic noise and Electric Resistivity Tomography), the Self Potential method gives valuable structural and geological information (faults, lithological transitions/interfaces, etc).the self-potential is a difference of electrical potential naturally occurring in the ground, measured between two electrodes placed at the surface of the Earth or in boreholes. SP can be generated by redox potentials associated with ore bodies or contaminant plumes that are rich in organic matter. A second source of self-potential anomalies is the thermoelectric effect associated directly with a gradient of the temperature affecting the chemical potential gradient of charge carriers. A third source is related to gradients of the chemical potential of the ionic charge carriers at constant temperature. A fourth source of self-potential signals is the streaming potential contribution related to the flow of the pore water relative to the mineral grain framework in saturated and unsaturated conditions.Basic corrections have been applied to all the datasets. Detailed analysis and interpretations are ongoing for Queen Lili`uokalani Trust (Big Island) and Dole (O’ahu) datasets.The data for each study site is stored in one Excel file composed of several datasheets. Each sheet represents one profile or part of a profile or a final table (tab found under the name TOTAL in each Excel file) containing data ready to be plotted or interpolated for maps. The sheets of a file are linked together and at this stage they should not be separated because they are connected together for the processing, and together they are used to create maps- Raw data for each profile within a study site is located in each sheet corresponding to individual profiles or sections of profiles- Names of participants to field surveys are detailed at the top of each excel sheet, in each excel file.
DOI: 10.4211/hs.2418c392ccd3466b80b9191baa95d744
title: Supplement materials for publication: High-resolution operational soil moisture monitoring for forests in the Middle Germany

description: Historical (1990-2024) simulations of water balance with LWF-BROOK90 1D model for National Forest Inventory points in the Middle Germany region (3206 plots). Output contains daily values of water balance components in mm for beech, oak, spruce, pine and grass land cover: precipitation, interception (snow and rain), evaporation from snow and soil surface, transpiration, total evaporation, total flow, soil water content.
DOI: 10.4211/hs.0871c3b8775d4153a024f532be34ecd9
title: Wet Antecedent Soil Moisture Increases Atmospheric River Streamflow Magnitudes Non-Linearly

description: This repository contains the data and code used to analyze the impact of antecedent soil moisture conditions on flooding caused by atmospheric rivers for our paper: 

Webb, M. J., Albano, C. M., Harpold, A. A., Wagner, D. M., & Wilson, A. M. (2025). Wet Antecedent Soil Moisture Increases Atmospheric River Streamflow Magnitudes Non-Linearly. Journal of Hydrometeorology. https://doi.org/10.1175/JHM-D-24-0078.1

"In this study, we analyze how antecedent soil moisture (ASM) conditions contribute to variability in streamflow during atmospheric river (AR) events and how that changes across climatic regimes and physiography in 122 U.S. West Coast watersheds. We identify a robust non-linear relationship between streamflow and ASM during ARs in 89% of watersheds. The inflection point in this relationship represents a watershed-specific critical ASM threshold, above which event maximum streamflow is, on average, two to four and a half times larger. Wet ASM conditions amplify the hydrologic impacts of more frequent but weaker, lower moisture transport AR events, while dry ASM conditions attenuate the hydrologic impacts that stronger, higher moisture transport AR events could otherwise cause. Our research shows that watersheds prone to ASM-amplified streamflows have higher evaporation ratios, lower cold-season precipitation, lower snow-to-rain ratios, and shallower, clay-rich soils. Higher evaporation and lower precipitation lead to greater ASM variability during the cold season, increasing streamflow during wet periods and buffering streamflow during dry periods. Lower snow fraction and shallower soils limit the antecedent water storage capacity of a watershed, contributing to greater sensitivity of streamflow peaks to ASM variability. Incorporating ASM thresholds into hydrologic models in these regions prone to AR-amplified streamflow could improve forecasts and decrease uncertainty."
DOI: 10.4211/hs.dfa02b83bbde4ae3888ffafeb4446a5b
title: NHG Synthetic Forecast generation dataset

description: Pre-processed subset of raw HEFS hindcast data for New Hogan lake (NHG) configured for compatibility with the repository structure of the versions 1 and 2 synthetic forecast model contained here: https://github.com/zpb4/Synthetic-Forecast-v1-FIRO-DISES  and here: https://github.com/zpb4/Synthetic-Forecast-v2-FIRO-DISES. The data are pre-structured for the repository setup and instructions are included in README files for both GitHub repos on how to setup the data contained in this resource.

Contains HEFS hindcast .csv files and observed full-natural-flow files for the following sites:
NHGC1 - main reservoir inflow to New Hogan lake
MSGC1L - downstream local flows from Mud Slough 

Data also contains R scripts used to preprocess the raw HEFS data contained in the associated public Hydroshare resource here: https://www.hydroshare.org/resource/f63ead2d62414940a7d90acdc234a5d1/
DOI: 10.4211/hs.604e2008b86c445eb5092fe20a7092f9
title: RCCZO -- Continuous Stream Water Quality - pH, Specific Conductance, Temperature, and Streamflow from 2015-2023

description: We monitored five catchments (Reynolds Creek Outlet, Murphy Creek, Tollgate, Johnston Draw, and Reynolds Mountain East) in Reynolds Creek Experimental Watershed and Critical Zone Observatory (RCEW-CZO), southwestern Idaho for water quality using automated stream water quality sensors.

Stream pH, specific conductance, and temperature were collected using multiprobe sondes (OTT Hydrolab DS5 Multiprobe, Loveland, Colorado or TROLL 9500 Fort Collins, Colorado).
Streamflow was collected using stage recorder at the outlet of each catchment. 

The data was primarily collected hourly with a short periods when data was collected at 20 minute frequency.

Support for this research was provided by the National Science Foundation for RCEW-CZO Cooperative agreement, EAR-1331872 and USDA ARS Long-term Agroecosystem Research (LTAR).