cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.4211/hs.b213390987b74771bd9317c1588277a9
title: Datasets: Urbanization in Denver produces more streamflow because of contributions from excess irrigation, leaking pipes, and stormwater

description: Urban streams in the Denver, Colorado, USA region flow more often than undeveloped grassland streams. We sought to identify the sources of this increased flow using water stable isotope data and an analysis of streamflow responses to rain events. We collected and assessed 402 urban stream, 522 tap, and 38 precipitation samples across 2019, 2021, and 2022. Two endmember mixing analysis was utilized to obtain the percentage of precipitation-derived groundwater and tap water contributing to urban baseflow. Our endmember mixing results revealed that a major portion of stream water came from tap water, through excess lawn irrigation returning to the stream and leaking water pipes. The average portions of streamflow that come from tap water and lawn irrigation return flow were 76% and 47% respectively across 2019, 2021, and 2022. Uncertainty related to estimation of tap contribution and lawn irrigation return flow ranged from 3 – 29%. We also observed an increasing correlation between lawn irrigation return flow in urban streams and imperviousness of the watersheds in the Denver area. In semi-arid and arid cities in the USA, including in Denver, urban irrigation consumes a large portion of city water. Through an analysis of spatiotemporal variations in streamflow, we observed that tap water is a larger contributor to urban streamflow than increased stormflow during most months. The joint contributions of tap water and directly-connected impervious area driving increased stormwater lead to profound alterations in the urban streamflow regime compared to grassland streamflow.  This study provides insights into how urban irrigation and stormwater together increase streamflow, aiding water managers in implementing effective water management strategies in water-scarce cities.
DOI: 10.4211/hs.060dd0ad11834a2793494c6914eaecf1
title: Nature-based climate resilience through shoreline transformation: Captain Sinclair’s Recreational Area, VA, USA (2023-2024)

description: Global climate change has led to many adverse impacts including changing weather patterns and an increase in the severity and frequency of extreme weather events. Traditional hard engineering solutions for coastal protection, such as seawalls and bulkheads, are becoming inadequate as they do not have the capacity to keep pace with the accelerating impacts of climate change. In response, there is growing interest in Natural and Nature-Based Features (NNBF), which offer innovative and adaptive approaches to coastal protection. NNBFs, such as salt marshes or living shorelines, have demonstrated potential for mitigating wave energy, reducing flood risks, and enhancing coastal resilience. However, the effectiveness of these features can vary based on their physical attributes and the specific environmental conditions in which they are implemented. The inconsistent performance of NNBFs has posed challenges for their widespread adoption, partly due to uncertainties in their efficacy and barriers in public policy.

This research focuses on evaluating the performance of NNBFs in attenuating waves through the natural environment, highlighting the benefits of hybrid NNBFs. Our findings demonstrate that, when combined, different NNBFs play complementary roles in wave attenuation. Thus, enhancing shoreline resilience and reducing marsh loss under dynamic water level conditions. These results highlight the importance of implementing diverse NNBF systems to address the dynamic nature of coastal conditions. By quantifying the performance of these features, this study offers valuable insights into designing and optimizing shoreline protection strategies that promote climate resiliency.

Here, a Jupyter Notebook is provided to a) Access the data; b) Generate plots; and c) Perform data analysis.
DOI: 10.17632/s46hyz5vx8
title: Uso de la IA estudiantes universitarios

description: Resultados de instrumento de uso de IAg y herramientas digitales población estudiantil de IES en México.
DOI: 10.4211/hs.ad353492d58a47fd8b4a07d4bd686e33
title: Nature-based climate resilience through shoreline transformation: Whittaker Creek, VA, USA (2023-2024)

description: Global climate change has led to many adverse impacts including changing weather patterns and an increase in the severity and frequency of extreme weather events. Traditional hard engineering solutions for coastal protection, such as seawalls and bulkheads, are becoming inadequate as they do not have the capacity to keep pace with the accelerating impacts of climate change. In response, there is growing interest in Natural and Nature-Based Features (NNBF), which offer innovative and adaptive approaches to coastal protection. NNBFs, such as salt marshes or living shorelines, have demonstrated potential for mitigating wave energy, reducing flood risks, and enhancing coastal resilience. However, the effectiveness of these features can vary based on their physical attributes and the specific environmental conditions in which they are implemented. The inconsistent performance of NNBFs has posed challenges for their widespread adoption, partly due to uncertainties in their efficacy and barriers in public policy.

This research focuses on evaluating the performance of NNBFs in attenuating waves through innovative field-scale prototypes. At the Whittaker Creek Canal project site, we conducted two field experiments to evaluate the effectiveness of NNBFs at attenuating boat wakes, which are practical emulators of wind waves and storm surge events. One field experiment was conducted before the construction of the NNBFs at the canal, while the other was done after. During the field experiments, we conducted trials by operating the same boat along the canal at different speeds and with varying weights to generate a diverse range of wakes. The varying set of wakes allowed us to simulate different controlled coastal hazard conditions, and observe the response of the NNBFs. Overall, this study found that these innovative NNBFs significantly reduced wave heights in the Whittaker Creek Canal. Boat speed had a greater impact on wave height than vessel weight, but both factors are important. Most notably, combining different NNBFs, like oyster reefs and Geotubes™, improved wave reduction effectiveness, especially at low boat speeds, making them highly effective under low intensity or daily conditions.

Here, a Jupyter Notebook is provided to a) Access the data; b) Generate plots; and c) Perform data analysis.
DOI: 10.17632/s46hyz5vx8.1
title: Uso de la IA estudiantes universitarios

description: Resultados de instrumento de uso de IAg y herramientas digitales población estudiantil de IES en México.
DOI: 10.4211/hs.25f3b33406bd4b8c81ef667e8f4c6d96
title: Supporting Information datasets for article: "Effects of Climate Change on stream temperature and salmonid habitats in the Clackamas River Basin, Oregon."

description: This is an outdated version of this resource. Please visit the updated version here: https://doi.org/10.4211/hs.884d8badf48f4bc1a8dffc5c775de145

This repository contains the Supporting Information Datasets for Krochta, M., Anlauf-Dunn, K., Bugni, D., & Chang, H. (2025, under review): Effects of Climate Change on stream temperature and salmonid habitats in the Clackamas River Basin, Oregon.

Abstract: Rising stream temperatures pose significant challenges to aquatic ecosystems, particularly for coldwater-adapted organisms like salmonids. This study examines the effects of climate change on stream temperatures and salmonid habitats in the Clackamas River Basin, Oregon, USA. Using spatial stream network models and CMIP6 climate projections under SSP2-4.5 and SSP5-8.5 scenarios, we project mid- (2045-2074) and late-century (2075-2100) stream temperature changes. These projections are then integrated with thermal tolerances and intrinsic habitat metrics to assess future habitat suitability for key species, including steelhead, coho, Chinook, and bull trout. Stream temperature trends from 1991–2023 reveal basin-wide warming, with high-elevation tributaries demonstrating more resilience to climate impacts while lower-elevation subwatersheds face greater vulnerability. Future projections indicate a basinwide maximum 7-day average of daily maximum stream temperature increases of 1.42°C to 2.04°C for the midcentury, and 1.84°C to 3.24°C by the end of the 21st century. These increases reduce the most thermally suitable habitats for steelhead, coho, Chinook, and bull trout by an average of 29.1% to 24.2% during the mid-century time period, and 41.9% to 55.1% by the end-of-century time period. By linking climate-driven temperature projections with habitat metrics, we identify priority subwatersheds based on projected thermal suitability where conservation efforts can maximize impact.
DOI: 10.4211/hs.2da2df3124ee4585b71e6d409dd88387
title: Daily values of stream discharge, stream DOC and nitrate concentrations, riparian groundwater tables, and riparian soil water DOC and nitrate concentrations at three catchments (Rappbode - Germany, and Font del Regàs and Fuirosos - Spain) for different periods within 2013 to 2023

description: This dataset presents daily values of stream discharge, stream dissolved organic carbon (DOC) and nitrate (N-NO3-) concentrations, riparian groundwater tables, and riparian soil water DOC and N-NO3- concentrations at three catchments (Rappbode - 2.58 km2, Font del Regàs - 13.0 km2, and Fuirosos - 9.94 km2) for different periods within 2013 to 2023.
DOI: 10.4211/hs.236d408a20d64e789694f13b7ce38cda
title: Trinity River floodplain soil and soil water data

description: These data were collected on the Richland Creek Wildlife Management Area at 31°58′10″N 96°03′56″W. They include soil characterization data, and time series of rainfall data and vertical profiles of soil temperature, soil water content and the stable isotope composition of soil water. The data are part of Brandon Okafor's MS thesis. A peer-reviewed publication is forthcoming and will be linked to this resource once published.
DOI: 10.4211/hs.ff4e9c4e87ef4d7d923efe77f5ed2b83
title: RIce-Net dataset: River Ice detection

description: A computer vision-based framework, River Ice-Network (RIce-Net), uses the USGS nationwide network of ground-based cameras whose images are published through the National Imagery Management System (NIMS), which is available to the public through the Hydrologic Imagery Visualization and Information System (HIVIS; https://apps.usgs.gov/hivis). RIce-Net classifies ice-affected images, segments the ice presence over river surface, calculates the fraction of ice coverage, and automatically generates a near real-time ice flag. The RIce-Net was trained using images from the Milwaukee River near Cedarburg station (https://apps.usgs.gov/hivis/camera/WI_Milwaukee_River_near_Cedarburg) collected in 2023 and tested using images collected in 2024. This repository provides the training data set of the classification and segmentation models.
DOI: 10.4211/hs.8bd6bc20db234b6b81a7eee2c6a9048d
title: Immersive Model for Lake Mead Based on the Principle of Divide Reservoir Inflow

description: The purpose of this immersive online collaborative model is to give collaborators the opportunity to immerse in and personify water user roles for a Lake Mead model based on the principle of division of reservoir inflow. The model works on the principles of A) Divide reservoir inflow, B) Subtract evaporation, and C) Users consume and conserve within their available water, others choices, and real-time discussion of choices. There are six users in the model - Reclamation, California, Arizona, Nevada, Mexico, and Tribal Nations of the Lower Colorado River Basin. We see uses of the tool for two purposes:

1) As researchers we want to learn: Why basin partners choose assumptions and how extreme; Why and how basin partners manage their risk of uncertain future water supply; Which new insights they take from a model session.
2) Provoke thought and discussion to: i) Stabilize and recover reservoir storage under conditions of low storage and low inflow, and ii) Give users more autonomy to manage their conflicting vulnerabilities to water shortages.

The README file below provides more background on the model, the 3 key ideas, and instructions to download the model file, move into Google Drive, invite colleagues/co-workers/friends/family, and guide an immersive model session.

Contents of this resource:
1) ImmersiveModelLakeMeadDivideInflow-LetsStart.pdf - Visualization of the 3 key ideas for the model and directions to start a model session.
2) ImmersiveModelLakeMeadDivideInflow-LetsStart.pptx - Powerpoint version of the LetsStart pdf file.
3) LakeMeadWaterBankDivideInflow.xlsx - Model file in Excel. Download, move into Google Drive, invite people to join, and follow the remaining instructions on the ReadMe-Directions worksheet.
4) LakeMeadWaterConservationProgramAnalysis.docx - Draft manuscript for the immersive model in Word format. This manuscript also shares 10 successes of the current Lake Mead water conservation (Intentionally Created Surplus) program.
5) README.md - Markdown file with more information about the model including the 3 key ideas, requirements to use, directions to guide a model session, and further reading.

Folders
6) IRB - documents required to share with potential collaborators that are required by Utah State University's Institutional Review Board (IRB).
7) ModelGuide - Model guide in MS Word (.docx) and Markdown (.md). The file includes help, background, suggestions for each row in the model, and supporting figures and tables. Links in Column N on the "Master" worksheet of the model file lead directly to sections in the Markdown file.
DOI: 10.15468/dl.2mgmsw
title: Occurrence Download

description: A dataset containing 2734 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (Russian Federation, China, Mongolia, Japan, Korea (Democratic People’s Republic of), Korea, Republic of)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Salix myrtilloides"
 ]
}

 The dataset includes 2734 records from 61 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0050000-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/yb5mc3j4kb
title: Supplementary Material - β-hydroxybutyrate impairs the functional response of bovine neutrophils to mammary pathogenic Staphylococcus aureus and a TLR2/1 agonist by limiting glucose metabolism

description: Supplementary Material - β-hydroxybutyrate impairs the functional response of bovine neutrophils to mammary pathogenic Staphylococcus aureus and a TLR2/1 agonist by limiting glucose metabolism (Journal of Dairy Science)
DOI: 10.4211/hs.b80dae5c7cc7421b80c40f9ce856dbf5
title: The Floridan Aquifer Collaborative Engagement for Sustainability (FACETS) project SWAT-MODFLOW model of the Santa Fe River, Florida

description: This resource contains the SWAT-MODFLOW model for the Santa Fe River of North Central Florida used in the Floridan Aquifer Collaborative Engagement for Sustainability (FACETS) project. The FACETS project was funded by the USDA National Institute of Food and Agriculture (Award Number: 2017-68007-26319) to promote the economic sustainability of agriculture and silviculture in North Florida and South Georgia while protecting water quantity, quality, and habitat in the Upper Floridan Aquifer and the springs and rivers it feeds (https://floridanwater.research.ufl.edu/). SWAT-MODFLOW couples the Soil and Water Assessment Tool (SWAT) to the U.S. Geological Survey modular finite-difference flow model (MODFLOW) to produce an integrated surface-groundwater model (https://swat.tamu.edu/software/swat-modflow/). Within SWAT-MODFLOW, SWAT handles most surface and soil processes, MODFLOW handles groundwater processes, and both models interact to simulate stream flows.

The SWAT portion of this model was developed using USGS digital elevation models, the 2017 Statewide Land Use / Land Cover map of the Florida Department of Environmental Protection (FDEP), Florida Department of Health septic tank data, STATSGO soil maps, the Public Land Survey System, and NLDAS weather data. Agricultural and silvicultural production land uses and management practices implemented within SWAT were co-developed with stakeholders in a participatory modeling process (PMP) and included row crops (corn-peanut and corn-carrot-peanut rotations) forage crops (bermudagrass hay and pasture), and production forestry (slash pine). Additional land uses implemented in SWAT included urban, low-density residential, septic tanks, rapid infiltration basins, fertilized lawns, natural grass, wetlands,  and open water. The MODFLOW portion of the model was developed from the larger North Florida Southeast Georgia (NFSEG) MODFLOW model (version 1.0)  as developed by the St John’s River and Suwannee River Water Management Districts. A detailed description of the complete model development process can be found in a document within this resource.

Calibration of the model was conducted using a Bayesian Sample-Importance-Resample method. Data used in the model calibration included: 1) USGS discharge data (Stations 02322500, 02322700, 02322800, and 02321500); 2) USGS operational Simplified Surface Energy Balance (SSEBop) actual evapotranspiration; and 3) Upper Floridan Aquifer potentiometric surfaces from FDEP. The calibration period of the model was 2010-2018 and the validation period was 1980-2009.

The Windows SWAT-MODFLOW executable file (SWAT_MODFLOW_3C.exe) has been updated in this new version of the resource. All other files are identical to those in the previous version of the resource, http://www.hydroshare.org/resource/19e8b36afa614684bbb33bce426983d7.
DOI: 10.17632/yb5mc3j4kb.1
title: Supplementary Material - β-hydroxybutyrate impairs the functional response of bovine neutrophils to mammary pathogenic Staphylococcus aureus and a TLR2/1 agonist by limiting glucose metabolism

description: Supplementary Material - β-hydroxybutyrate impairs the functional response of bovine neutrophils to mammary pathogenic Staphylococcus aureus and a TLR2/1 agonist by limiting glucose metabolism (Journal of Dairy Science)
DOI: 10.4211/hs.4a473fb26999472594ecf23f37bf24f5
title: Immersive Model for Lake Mead Based on the Principle of Divide Reservoir Inflow

description: The purpose of this immersive online collaborative model is to give collaborators the opportunity to immerse in and personify water user roles for a Lake Mead model based on the principle of division of reservoir inflow. The model works on the principles of A) Divide reservoir inflow, B) Subtract evaporation, and C) Users consume and conserve within their available water, others choices, and real-time discussion of choices. There are six users in the model - Reclamation, California, Arizona, Nevada, Mexico, and Tribal Nations of the Lower Colorado River Basin. We see uses of the tool for two purposes:

1) As researchers we want to learn: Why basin partners choose assumptions and how extreme; Why and how basin partners manage their risk of uncertain future water supply; Which new insights they take from a model session.
2) Provoke thought and discussion to: i) Stabilize and recover reservoir storage under conditions of low storage and low inflow, and ii) Give users more autonomy to manage their conflicting vulnerabilities to water shortages.

The README file below provides more background on the model, the 3 key ideas, and instructions to download the model file, move into Google Drive, invite colleagues/co-workers/friends/family, and guide an immersive model session.

Contents of this resource:
1) ImmersiveModelLakeMeadDivideInflow-LetsStart.pdf - Visualization of the 3 key ideas for the model and directions to start a model session.
2) ImmersiveModelLakeMeadDivideInflow-LetsStart.pptx - Powerpoint version of the LetsStart pdf file.
3) LakeMeadWaterBankDivideInflow.xlsx - Model file in Excel. Download, move into Google Drive, invite people to join, and follow the remaining instructions on the ReadMe-Directions worksheet.
4) LakeMeadWaterConservationProgramAnalysis.docx - Draft manuscript for the immersive model in Word format. This manuscript also shares 10 successes of the current Lake Mead water conservation (Intentionally Created Surplus) program.
5) README.md - Markdown file with more information about the model including the 3 key ideas, requirements to use, directions to guide a model session, and further reading.

Folders
6) IRB - documents required to share with potential collaborators that are required by Utah State University's Institutional Review Board (IRB).
7) ModelGuide - Model guide in MS Word (.docx) and Markdown (.md). The file includes help, background, suggestions for each row in the model, and supporting figures and tables. Links in Column N on the "Master" worksheet of the model file lead directly to sections in the Markdown file.
DOI: 10.4211/hs.410a89cb92c94990a4401ac9c008c7c3
title: Mandinga Lagoon (Mexico) hydrographic data

description: This dataset includes CTD casts form 25 stations covering the “Laguna Grande de Mandinga”, Veracruz, Mexico,  for 15 campaigns, before and during the rainy season in 2014. Methods for data collection and processing are described in the methods document accompanying this resource. The Stations_map_and_lat_lon figure is a key to stations names and location.
DOI: 10.4211/hs.5f7a9ac9aa3e486aba143b30862050d0
title: The great salt lake basin aquifer

description: This dataset represents the Great Salt Lake aquifer, developed by Brigham Young University (BYU). It includes spatial and attribute data in shapefile format, detailing groundwater characteristics, aquifer boundaries, and related hydrological features. The dataset is intended for hydroinformatics research, groundwater management, and environmental studies. It provides essential geospatial insights for analyzing aquifer conditions and supporting water resource planning.
DOI: 10.4211/hs.7750a881a5c3445dadaebcb7018d98bc
title: Accompanying data to Osorio-Leon et al. (2025, AGU Advances) "Deep roots supply reactivity and enhance silicate weathering in the bedrock vadose zone"

description: This repository contains supporting material for Osorio-Leon, I.D., Rempe, D.M., Golla, J.K., Bouchez, and Druhan, J.L. (2025) 'Deep roots supply reactivity and enhance silicate weathering in the bedrock vadose zone', AGU Advances. DOI: 10.1029/2025AV001692
DOI: 10.4211/hs.9be2a7c3bc19467fbfac7aa99ad61790
title: Data files for "Quantifying underflow in the river corridor of a headwater mountain stream"

description: Underflow, or the downstream flow of water in the shallow subsurface parallel to a stream, is important for the transport of water and solutes through river corridors and is driven by hydrostatic controls such as hydraulic conductivity and volumetric subsurface capacity. However, these controls rely on point measurements and thus the actual volume of underflow is difficult to quantify. In this study, we take advantage of bedrock outcrops paired with reach and segment scale water balances to quantify underflow. From the water balances, we learn that reach and segment scale balances can have differing interpretations due to the existence of underflow. Additionally, we suggest that fluxes, geometries, and timescales are important for fully understanding the role of underflow and present a high-level review of methods that can be used to address all three components to better quantify underflow in future studies.