cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/pjm6j8t5z6.2
title: Dataset for the Network Meta-Analysis on the Effect of Probiotic Supplementation on Streptococcus mutans Counts

description: This dataset supports the systematic review and network meta-analysis entitled “Effect of Probiotic Supplementation on Cariogenic Streptococcus mutans Levels: A Systematic Review and Network Meta-Analysis.”
It contains all extracted quantitative data used for pairwise and network comparisons assessing the impact of probiotic supplementation on S. mutans counts in saliva and dental biofilm.

Data were obtained from randomized controlled clinical trials conducted in humans, excluding in vitro studies, following PRISMA 2020 and CINeMA methodological standards.
Variables include study identifiers, probiotic strains, comparator types, follow-up periods (in days), sample sizes, means, standard deviations, and calculated mean differences for bacterial counts.

The dataset was cleaned and harmonized in Microsoft Excel and analyzed using R (packages meta and netmeta). It is structured to allow reproducibility of network meta-analyses and triangulation of findings with MetaInsight outputs.
DOI: 10.4211/hs.1cceabb111d44832a340cccba019e217
title: Data Repository for NSF Collaborative Research: Impacts of Evaporation and Waves on Groundwater Dynamics in Tidally Influenced Beaches

description: This data repository is for sharing all the dataset available for the NSF project titled: NSF Collaborative Research: Impacts of Evaporation and Waves on Groundwater Dynamics in Tidally Influenced Beaches.
DOI: 10.4211/hs.535aa778ba0549619c32d2344f2ad5e9
title: Nutrient loads across Fayetteville, Arkansas

description: This dataset supports a study investigating spatial and temporal controls on nutrient export across urban landscapes. With increasing urbanization globally, nutrient enrichment poses major risks to aquatic ecosystems. This research focuses on understanding nutrient export (specifically nitrate [NO₃] and soluble reactive phosphorus [SRP]) across a rapidly urbanizing region. This data includes biweekly sampling across 21 sites, in addition to storm sampling at a subset of 6 sites. In addition to nutrient export data, this data set includes geospatial analysis from ArcGIS.
DOI: 10.4211/hs.11c91bde19864106a9e85b39ffcf0ff1
title: The United States Water Withdrawals Database (USWWD)

description: The United States Water Withdrawals Database (USWWD) provides a standardized compilation of user-level water withdrawal data across 42 US states. USWWD provides time series of water withdrawals at unprecedented spatial and temporal resolutions, encompassing 188,857 unique water users, 353,694 points of diversion and use, and 58,439,412 withdrawal volumes included in 7,524,266 records across various sectors. USWWD integrates diverse state-level data sources, standardizing information on water users, withdrawal locations, volumes, source types, and primary water use categories. The withdrawal data combines both direct measurements and various estimation techniques, reflecting the diverse methods utilized by different state agencies in reporting water usage. USWWD addresses significant gaps in national water use data, enabling researchers to conduct detailed analyses of water withdrawal patterns, trends, and drivers across space, time, and sectors. This granular dataset supports a wide range of applications, including water resource management, planning, and policy development. By providing the most detailed national water use data to date, USWWD facilitates new understanding of how society uses water. 

This HydroShare data repository contains the complete USWWD dataset, organized by state in individual folders under the Data directory. Each state folder contains two primary files: the Water Use Characteristics file, which includes detailed tabular data on water withdrawal volumes, use sectors, measurement methods, water sources, types, and data flags; and the Water Withdrawal or Use Locations file, which provides location data including latitude and longitude coordinates for water diversion points and users. The repository also houses essential code in the Code directory, featuring Jupyter Notebooks for subclassifying unspecified water use categories, conducting data flagging assessments, and generating visualizations presented in the data descriptor (under review at Nature's Scientific Data) documenting USWWD database creation. Additionally, the repository includes metadata tables and the communication protocol used for communicating with state agencies that provided the source data. The repository also contains USGS five-year water use data products from 2000, 2005, 2010, and 2015 that were used for comparison with USWWD data.
DOI: 10.17632/mw683nm4ss.1
title: Calculation of ethanol purification at small and medium enterprises (SMEs)

description: This is data on respondents from SMEs engaged in ethanol refining in Sukoharjo, Central Java. The data was collected directly based on field conditions.
DOI: 10.4211/hs.05a0490e971f491fa64c62cbde499a6a
title: "Landscape controls on water availability limit revegetation after artisanal gold mining in the Peruvian Amazon" (Atwood et al. 2025)datasets

description: Deforestation from artisanal and small-scale gold mining is transforming large regions of the tropics, from lush rainforest to barren collections of tailings and ponds. Natural forest regeneration is slow due to dramatic soil changes and existing reforestation strategies are failing. Here we combine remote sensing, electrical resistivity imaging, and measurements of soil properties to characterize post-mining areas in the Madre de Dios region, Peru. We find that the post-mining landscape has dramatically changed water infiltration dynamics, driving decreases in subsurface water availability and presenting a major barrier to revegetation. Mining tailings are extremely hydraulically conductive, allowing for 14.7 m/day infiltration relative to 0.074 m/day in primary forest soils, leading to lower average soil moisture and extreme temperatures (<60C). Electrical resistivity imaging reveals a highly resistive, 1.5-2m deep layer of dry sand across the mining landscape. Areas close to the water table (e.g. pond edges) show higher soil moisture, lower temperatures, and greater natural regeneration compared to elevated tailings. Our results suggest that access to water should be prioritized when targeting reforestation sites, potentially requiring large-scale geomorphological reconfiguration. As gold mining is expected to expand, responsible practices and remediation strategies must account for the critical yet often overlooked role of water.
DOI: 10.17632/n4g296wjx5
title: Base Data: Predictive Model for the Degradation of Natural Geotextiles Based on Chemical Recalcitrance

description: Although alkaline treatment has been widely employed to enhance the durability of natural fiber geotextiles, considerable uncertainty persists regarding optimal protocols for soil bioengineering applications, particularly concerning the mechanistic relationship between chemical composition and temporal reliability. This work validates a hierarchical model connecting fundamental chemical composition,specifically the lignin/cellulose ratio,to Functional Service Life (FSL) at 10% probability of failure through systematic evaluation of degradation resistance in geotextiles fabricated from *Typha domingensis* fibers subjected to graded alkaline modifications.
DOI: 10.17632/n4g296wjx5.1
title: Base Data: Predictive Model for the Degradation of Natural Geotextiles Based on Chemical Recalcitrance

description: Although alkaline treatment has been widely employed to enhance the durability of natural fiber geotextiles, considerable uncertainty persists regarding optimal protocols for soil bioengineering applications, particularly concerning the mechanistic relationship between chemical composition and temporal reliability. This work validates a hierarchical model connecting fundamental chemical composition,specifically the lignin/cellulose ratio,to Functional Service Life (FSL) at 10% probability of failure through systematic evaluation of degradation resistance in geotextiles fabricated from *Typha domingensis* fibers subjected to graded alkaline modifications.
DOI: 10.4211/hs.8cdf887804df444fa85f37b4b5977a69
title: E.coli and fluorescence of the Tijuana River, 2022-2023

description: Fluorescence-based sensors of tryptophan (TRP) and chromophoric dissolved organic matter (CDOM) can provide real-time information on water quality.  This resource includes data on water quality of the Tijuana River at the International Boundary and Water Commission stream gage for the years 2022 and 2023, including TRP, CDOM, and standard parameters including temperature, conductivity, and turbidity.  TRP and CDOM were measured continuously with an in situ sumbersible sonde (Manta) and in the laboratory using a Horiba Aqualog fluorometer.  Additional files include the results of wastewater addition experiments conducted in the laboratory, using both the Manta and Aqualog to measure TRP and CDOM.  The README file contains details.

Article describing the data collection and analysis is in:

Biggs, Trent; Mladenov, Natalie; Garcia, Stephany; Yuan, Yongping; Sousa, Dan; Grant, Alexandra; Piazza, Elise; Magdalena-Weary, Trinity; Summerlin, Callie; Liden, Doug.  
Fluorescence-based indicators of Escherichia coli and untreated wastewater: Turbidity correction and comparison of in situ and benchtop fluorometers in a sewage-polluted urban river
ACS ES&T Water, DOI:  https://doi.org/10.1021/acsestwater.4c01092
DOI: 10.4211/hs.3aabbfbdbf27426083f2a305668d8974
title: Crow Creek Watershed Site Layout & GPS Data

description: The Crow Creek Study Watershed sits at ~2,500 masl in elevation near Laramie, WY and is used as a teaching and research laboratory for the Mountain Hydrology Research Group at the University of Wyoming. The watershed is a small headwater tributary to Crow Creek. Data are collected to characterize the watershed as well as observe/measure hydrologic fluxes. There is the Crow Creek SNOTEL site within the watershed for meteorological time series data with a median peak snow water equivalent of ~170 mm that occurs in late March. The watershed has strong north and south aspect influences and mixed canopy forest type. The delineated watershed area is approximately 0.3 km^2.

The site was laid out into five 10x10 meter plots to analyze the watershed on Crow Creek. Plot A was placed on the top of the north-facing slope, Plot B was placed on the north-facing slope, Plot C was placed at the bottom of the north and south slopes next to the creek, Plot D was placed on the south-facing slope, and Plot E was placed on the top of the south slope.
DOI: 10.4211/hs.cfdb669b97634851980a0314dcdcc7d9
title: Raw Data: Impact of Infrastructure Fluxes and Proximate Soil on Urban Hydrology

description: This data is the outcome of a research study titled as "Variations of Urban Water Balances Considering Subsurface Sewer Fluxes: A Hydrologic Modeling Study" which is currently in preparation. The study investigates the overlooked yet critical interactions between urban stormwater infiltration, subsurface soils, and buried sewer infrastructure. Using HYDRUS-2D, a series of simulations were conducted to evaluate how sewer-related water fluxes — specifically inflow and infiltration (I&I) and exfiltration—respond to variations in soil texture, groundwater table depth, pipe defect size, and trench backfill material. The analysis demonstrated that soil texture and groundwater depth significantly influence water partitioning. Fine-textured soils led to increased surface runoff and evapotranspiration, while limiting groundwater interactions and I&I. In contrast, shallow groundwater conditions significantly elevated I&I, with minimal impact on surface processes. Larger pipe defects further intensified both I&I and exfiltration. A statistical feature importance analysis reinforced the influence of groundwater depth and pipe integrity. The findings highlight the necessity of incorporating detailed subsurface interactions into urban hydrologic modeling to better inform infrastructure design and management.
DOI: 10.4211/hs.fcd697ca24684cf497615dcf7f5ed95a
title: Crow Creek Study Watershed 2025 Soil Moisture

description: The Crow Creek Study Watershed sits at ~2,500 masl in elevation near Laramie, WY and is used as a teaching and research laboratory for the Mountain Hydrology Research Group at the University of Wyoming. The watershed is a small headwater tributary to Crow Creek. Data are collected to characterize the watershed as well as observe/measure hydrologic fluxes. There is the Crow Creek SNOTEL site within the watershed for meteorological time series data with a median peak snow water equivalent of ~170 mm that occurs in late March. The watershed has strong north and south aspect influences and mixed canopy forest type. The delineated watershed area is approximately 0.3 km^2.

The site was divided into five 10×10 meter plots along Crow Creek to analyze the watershed: Plot A at the top of the north-facing slope, Plot B on the north slope, Plot C at the base near the creek, Plot D on the south slope, and Plot E at the top of the south slope.
DOI: 10.4211/hs.88284f02b6ef487d92f335e80d82d574
title: Crow Creek Study Watershed 2025 Snow Cores

description: The Crow Creek Study Watershed sits at ~2,500 masl in elevation near Laramie, WY and is used as a teaching and research laboratory for the Mountain Hydrology Research Group at the University of Wyoming. The watershed is a small headwater tributary to Crow Creek. Data are collected to characterize the watershed as well as observe/measure hydrologic fluxes. There is the Crow Creek SNOTEL site within the watershed for meteorological time series data with a median peak snow water equivalent of ~170 mm that occurs in late March. The watershed has strong north and south aspect influences and mixed canopy forest type. The delineated watershed area is approximately 0.3 km^2.
DOI: 10.5281/zenodo.17916010
title: fMRI ICA V101-200 Partial Corr

description: GWAS summary statistics for fMRI ICA partial corr
DOI: 10.5281/zenodo.17916011
title: fMRI ICA V101-200 Partial Corr

description: GWAS summary statistics for fMRI ICA partial corr
DOI: 10.4211/hs.3243f8bc6ac7424bbd7e486dea27cd85
title: Crow Creek Snow Depth Measurements- Water Year 2025

description: The Crow Creek Study Watershed sits at ~2,500 masl in elevation near Laramie, WY and is used as a teaching and research laboratory for the Mountain Hydrology Research Group at the University of Wyoming. The watershed is a small headwater tributary to Crow Creek. Data are collected to characterize the watershed as well as observe/measure hydrologic fluxes. There is the Crow Creek SNOTEL site within the watershed for meteorological time series data with a median peak snow water equivalent of ~170 mm that occurs in late March. The watershed has strong north and south aspect influences and mixed canopy forest type. The delineated watershed area is approximately 0.3 km^2.

The site was laid out into five 10x10 meter plots to analyze the watershed on Crow Creek. Plot A was placed on the top of the north-facing slope, Plot B was placed on the north-facing slope, Plot C was placed at the bottom of the north and south slopes next to the creek, Plot D was placed on the south-facing slope, and Plot E was placed on the top of the south slope.
DOI: 10.4211/hs.91a30e1f07c2447c8cac4f1696b34ff0
title: Crow Creek Study Watershed 2025 Snow Pits

description: The Crow Creek Study Watershed sits at ~2,500 masl in elevation near Laramie, WY and is used as a teaching and research laboratory for the Mountain Hydrology Research Group at the University of Wyoming. The watershed is a small headwater tributary to Crow Creek. Data are collected to characterize the watershed as well as observe/measure hydrologic fluxes. There is the Crow Creek SNOTEL site within the watershed for meteorological time series data with a median peak snow water equivalent of ~170 mm that occurs in late March. The watershed has strong north and south aspect influences and mixed canopy forest type. The delineated watershed area is approximately 0.3 km^2.

The site was divided into five 10×10 meter plots along Crow Creek to analyze the watershed: Plot A at the top of the north-facing slope, Plot B on the north slope, Plot C at the base near the creek, Plot D on the south slope, and Plot E at the top of the south slope.
DOI: 10.4211/hs.65a0a3259c4d4fcf9ae9542cd5354f0a
title: How compressible are salt marshes? Unique field experiments combined with advanced modeling provide novel insights from the Venice Lagoon [Dataset]

description: This contribution provides the displacements and pore-water pressure values recorded during the loading tests carried out at the Lazzaretto Nuovo, La Grisa, Campalto, and Le Saline salt marshes in the Venice Lagoon between 2019 and 2022.
DOI: 10.4211/hs.cc5b208be7a743aba85e64f2a7c61680
title: A Fragility Framework for Surface Erosion with Application to Earthen Dam Breaching: Resources

description: Overtopping failures of earthen dams are a growing concern under intensifying extreme rainfall. This study introduces a probabilistic fragility framework that combines hydrologic modeling, hydraulic analysis, and soil erodibility to assess erosion risk under uncertain load and resistance. Fragility curves derived from Monte Carlo simulations quantify erosion initiation and severity as functions of rainfall depth and excess shear stress. Application to multiple dams affected during the 2015 South Carolina floods reproduces observed outcomes ranging from complete breach to no damage. The framework also captures cascading effects, where failure of an upstream structure increases downstream loading and erosion potential. Compared with deterministic approaches, the method better represents outcome variability and provides a more reliable basis for dam safety assessment and flood risk mitigation.
DOI: 10.4211/hs.ce4f9ad6285d47fbb67e100c7225c7af
title: Sediment Transport in the Brush Creek Watershed in Northwest Arkansas

description: This dataset supports a study investigating local and watershed-scale controls on sediment export under baseflow and stormflow conditions in a rural heterogeneous landscape in Northwest Arkansas. This is particularly relevant in regions like the Southeastern United States, where the majority of county roads are unpaved, making our findings broadly applicable to rural landscapes globally that face increasing challenges from climate change-induced precipitation patterns. This data includes monthly sampling for total suspended solids (TSS) and discharge (Q) at six road crossing sites (e.g., bridges, culverts, and direct stream crossings), as well as storm sampling four times during the February 2024 to January 2025 sampling period. Physical parameters such as dissolved oxygen and temperature are also included in this dataset.
DOI: 10.4211/hs.058c2c212c0f40b0b95b0d7cc0c892f6
title: Archive of the EPA National Aquatic Resource Surveys (NARS)

description: This data product is an archived clone as of 29 April 2025 of the U.S. Environmental Protection Agency’s (EPA) National Aquatic Resource Surveys (NARS) program, capturing all publicly available datasets, technical reports, field and laboratory manuals, and associated metadata. The NARS program conducts nationwide surveys of the condition of the United States’ rivers, streams, lakes, coastal waters, and wetlands. This clone includes data from the National Rivers and Streams Assessment (NRSA), the National Lakes Assessment (NLA), the National Coastal Condition Assessment (NCCA), the Wadeable Streams Assessment (WSA), and the National Wetland Condition Assessment (NWCA)—as well as methodological documentation supporting field and analytical protocols. The archive preserves original file structures and naming conventions from the EPA’s releases, including a copy of the web table associating each data file with its associated metadata file. This dataset is intended for users seeking a complete reproducible copy of the NARS data ecosystem for scientific analysis, educational purposes, or environmental monitoring.
DOI: 10.4211/hs.13152f75069e45f88bd2f9b5edc51cae
title: Crow Creek Study Watershed 2025 Leaf Area Index

description: The Crow Creek Study Watershed sits at ~2,500 masl in elevation near Laramie, WY and is used as a teaching and research laboratory for the Mountain Hydrology Research Group at the University of Wyoming. The watershed is a small headwater tributary to Crow Creek. Data are collected to characterize the watershed as well as observe/measure hydrologic fluxes. There is the Crow Creek SNOTEL site within the watershed for meteorological time series data with a median peak snow water equivalent of ~170 mm that occurs in late March. The watershed has strong north and south aspect influences and mixed canopy forest type. The delineated watershed area is approximately 0.3 km^2.
DOI: 10.4211/hs.d1063470f5c4496593d27ce64f72abc8
title: Modeling Integrated Decisions for a Municipal Water System with Recourse and Uncertainties: Amman, Jordan

description: Stochastic mixed-integer optimization is used to identify a portfolio of long- and short-term supply and conservation actions for a municipal water system to cost-effectively accommodate a distribution of water shortages. Alternative robust, grey-number, and best/worst case formulations systematically explore implications of uncertainties in action costs, life spans, water volumes gained or saved, shortage levels, and shortage probabilities. A detailed example for Amman, Jordan considers 23 potential actions. Results show: (1) remarkable consistency occurs across the different modeling approaches. (2) Conserving water—reducing leakage and targeting select customers to install water efficient appliances—plays an important and growing role over time. (3) A delayed need for large supply projects like pumping the Disi aquifer. (4) No role appears for seawater desalination (Red–Dead Canal) before 2040. (5) Desalinating brackish Zara-Ma’een water is the low-cost option to increase water availability to customers but requires substantial capital investments. And (6) two shortcomings arise for grey-number and best/worst case approaches.

Rosenberg, D.E., Lund, J.R. Modeling Integrated Decisions for a Municipal Water System with Recourse and Uncertainties: Amman, Jordan. Water Resour Manage 23, 85–115 (2009). https://doi.org/10.1007/s11269-008-9266-4.

NOTE: This work was done from 2006 to 2009 before sharing data, models, code, and directions were a thing. ALL MATERIAL is provided UNWARRANTED without PROMISE of USABILITY or RE-USABILITY.

Contents:
 - Data: Some of the input data particularly on Drawater sources.
 - Drafts: Drafts of the manuscript prior to publication
 - Literature: Copies of some of the literature cited in the paper.
 - Modeling: General Algebraic Modelling System files.
 - WAJ: Water Authority of Jordan data.

AmmanComponentAnalysis.xls - Excel file with the input data and calculations for the Water Budget shown in Figure 3.
GreyNumberProblems.xls - Excel file with results for the Grey Number model formulation.
Rosenberg_ModelingUtilityDecisions_WARM332.doc - Manuscript file
RosenbergLund-2009-ModelingUtilityDecisions-WaterResourcesManagement.pdf - Final version of the paper as published.