cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.4211/hs.0d7338af942c48908efb085ec77ba070
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.4beea6712df548dea264619a14d6441d
title: Community views on hydrogeology education: Global Survey results from the 2024 International Association of Hydrogeologists’ Meeting

description: This dataset contains the anonymized responses from a global survey conducted in advance of the 2024 International Association of Hydrogeologists (IAH) Congress held in Davos, Switzerland. The aim of the survey was to gather insights into the educational backgrounds and experiences, career trajectories, and professional perspectives of individuals working in the field of hydrogeology. Respondents included students, academics, consultants, and practitioners from 82 countries, offering a diverse and international overview of current trends and challenges in hydrogeological education and workforce development.
In addition to survey responses, the dataset includes the full list of questions used in the survey. Note that the survey employed conditional logic: not all respondents were presented with the same set of questions, as certain follow-up items were shown based on earlier answers. Furthermore, some questions were optional, meaning that response counts may vary across items.

During the survey design and associated workshops and discussions at the Congress, particular efforts were made to ensure diverse voices were heard, and represented. However, the final dataset still reflects a bias toward respondents from the Global North. This limitation should be taken into account in any interpretation of the data.

This dataset is intended to support further research, comparative analyses, and ongoing dialogue about the future of hydrogeology education and professional training.
DOI: 10.4211/hs.545e8f9799a44b739497471e79b97346
title: FlowDist2Veg: An ArcGIS toolbox for rapid assessment of soil erosion potential on hillslopes

description: This work presents an ArcGIS toolbox for calculating and visualizing the effects of vegetation patches as sinks of surface runoff to reduce the soil erosion potential on hillslopes. The toolbox essentially calculates the flow distance from any location on a hillslope till obstructed by vegetation patches. As for innovative contributions, the toolbox enables water erosion assessments that 1) consider connectivity of surface flow, 2) are specific to location within a hillslope, and 3) allow rapid, multi-scenario analyses at high resolution over large spatial extents. The FlowDist2Veg toolbox takes advantage of the terrain flow analysis functions in the existing Hydrology toolbox and accepts input layers of any coordinate system and any resolution. The toolbox is written in python 3 and imports only the arcpy package. As an example, an analysis was done in Santa Rita Experimental Range to demonstrate the functionality of the toolbox.
DOI: 10.4211/hs.dd3e86e079cb4d2497f3465d26bc2cc7
title: High-resolution assessment of soil tillage impacts on groundwater recharge using drone imagery

description: The distribution of groundwater recharge can be estimated using several methods, but generally, the most appropriate method depends on both physical and study objectives. In this case, a large area in Southern Portugal has been subject to a strong intensification of agricultural practices. This was due to the construction of the Alqueva dam, the largest dam and artificial lake (250 km2) in Western Europe, which has caused a significant land-use change process in recent years. One of the most critical observed effects is the soil tillage process, which causes a great impact on runoff and recharge patterns and consequent soil erosion. For the assessment of groundwater recharge changes in this area, this study intended to make a high-resolution estimation based on drone imagery analysis. Accordingly, two high-resolution digital elevation models (DEM) with 7 cm resolution were created using photogrammetric processing of the images collected by drone. In order to have a representative land-use change, these images were collected before and after soil tillage. The image acquisition process was based on a pre-programmed drone (Unmanned Aerial Vehicle –UAV) with the following flight specifications: 90% frontal overlap and 70% lateral. As the research intended to have a high-accuracy DEM of the soil surface, two perpendicular flights were made. After the photogrammetric processing, a high-resolution output of topography was obtained prior to and after soil tillage. To assess the groundwater recharge changes, the WetSpass-M model was used for the two time frames. This model has the ability to simulate spatially distributed recharge, surface runoff, and evapotranspiration for averaged conditions and adaptive scales or resolutions. Depending on several inputs such as land cover, soil texture, hydrometeorological parameters and topography, the latter stands in this case as the main change between the two time frames. Thus, the groundwater recharge changes were estimated for an area of 55 ha, from which 18.7 ha were subjected to soil tillage. The remaining 36.3 ha were used as validation areas. In conclusion, the usage of drone imagery can be considered a fundamental tool for providing important hints on the impacts of land use and topography changes on the recharge, as well as constituting a methodology framework to support water balance assessments and groundwater resources management through the production of high-resolution spatially distributed recharge estimates.
DOI: 10.4211/hs.cad378adb8d049b9a25c3e9628ca5f8a
title: High-resolution assessment of soil tillage impacts on groundwater recharge using drone imagery

description: The distribution of groundwater recharge can be estimated using several methods, but generally, the most appropriate method depends on both physical and study objectives. In this case, a large area in Southern Portugal has been subject to a strong intensification of agricultural practices. This was due to the construction of the Alqueva dam, the largest dam and artificial lake (250 km2) in Western Europe, which has caused a significant land-use change process in recent years. One of the most critical observed effects is the soil tillage process, which causes a great impact on runoff and recharge patterns and consequent soil erosion. For the assessment of groundwater recharge changes in this area, this study intended to make a high-resolution estimation based on drone imagery analysis. Accordingly, two high-resolution digital elevation models (DEM) with 7 cm resolution were created using photogrammetric processing of the images collected by drone. In order to have a representative land-use change, these images were collected before and after soil tillage. The image acquisition process was based on a pre-programmed drone (Unmanned Aerial Vehicle –UAV) with the following flight specifications: 90% frontal overlap and 70% lateral. As the research intended to have a high-accuracy DEM of the soil surface, two perpendicular flights were made. After the photogrammetric processing, a high-resolution output of topography was obtained prior to and after soil tillage. To assess the groundwater recharge changes, the WetSpass-M model was used for the two time frames. This model has the ability to simulate spatially distributed recharge, surface runoff, and evapotranspiration for averaged conditions and adaptive scales or resolutions. Depending on several inputs such as land cover, soil texture, hydrometeorological parameters and topography, the latter stands in this case as the main change between the two time frames. Thus, the groundwater recharge changes were estimated for an area of 55 ha, from which 18.7 ha were subjected to soil tillage. The remaining 36.3 ha were used as validation areas. In conclusion, the usage of drone imagery can be considered a fundamental tool for providing important hints on the impacts of land use and topography changes on the recharge, as well as constituting a methodology framework to support water balance assessments and groundwater resources management through the production of high-resolution spatially distributed recharge estimates.
DOI: 10.4211/hs.d8faac86869e4a50a1ee1ff1423ce3bb
title: Floodplain Geomorphons for the Lake Champlain Basin of Vermont

description: This dataset contains floodplain geomorphons raster layers, developed from DEMs, for the Lake Champlain Basin of Vermont in the northeastern United States.  In these layers, we used geomorphons to identify meso-scale topographic units within the 500-year floodplains of reaches in the Lake Champlain Basin of Vermont draining greater than 2 square miles.  Geomorphons were identified for the extent of the 500-year floodplain for all reaches in each Hydrologic Unit Code-12 (HUC-12) subwatershed.  The geomorphon approach identifies topographic units as one of 10 classes of geomorphons—a classification system for landforms based on generalized 3D shape.  The file name for this layer begins with four digits corresponding to the last four digits of the reach’s HUC-12 and ends with “geomorphons_clean.tif”.   A second, alternate layer for each HUC-12 was created by consolidating the original 10 classes into three classes (flat, convex, and concave features), providing a simpler way of visualizing floodplain topographic patterns relevant for routing water across the surface.  The main channel of the reach was also masked out of the alternate, 3-class version of the layer.  The file name for the 3-class layer with the channel masked out begins with the four digits corresponding to the last four digits of the HUC-12 subwatershed code and ends with “geomorphons_mask3cls.tif”.  The data are grouped into folders by HUC-8 subbasin.
DOI: 10.4211/hs.b26b7c34c2e94d9087119ae1506b3e11
title: National Water Model Assimilation Gage Basin Boundaries

description: This resource includes a single GeoPackage containing upstream basin boundaries for 8,175 USGS streamflow gages used for data assimilation by v3.0 of the National Water Model. The file contains vector geometry and a single attribute ("provider_id") that indicates the associated USGS site code. Basin geometry is important for estimating drainage area and deriving areal statistics, such as mean areal precipitation. The list of included USGS gages was drawn from the National Water Model RouteLink files located here: https://www.nco.ncep.noaa.gov/pmb/codes/nwprod

Note that these basin boundaries are unofficial and may deviate significantly from official USGS estimates of contributing drainage area. These basin boundaries were derived by accumulating NHDv2 Catchments using the HyRiver suite of Python tools. See the "Drainage Area Delineation" example for more details: https://docs.hyriver.io/examples/notebooks/nwis_catchments.html
DOI: 10.4211/hs.e5631c5a603b4140a4eace5328315ea0
title: Tracing denitrification in a deeper aquifer of the Lower Rhine Embayment, Western Germany

description: The dataset comprises analysis results (major ions, N2, and Ar concentrations) from groundwater samples taken from a deeper aquifer in the Lower Rhine Embayment (Germany) to trace denitrification.
The data is used in the manuscript "Tracing denitrification in a deeper aquifer of the Lower Rhine Embayment, Western Germany" by Felix Fahrenbach and Thomas R. Rüde, published in Hydrogeology Journal.

Running the Python scripts requires the following packages: numpy, pandas, matplotlib, mpltern, and scipy.
DOI: 10.4211/hs.d5696290630c4f44a3c4e9834c3e1e10
title: Salted Earth - Documentary on Salt Water Intrusion in Mid-Atlantic

description: Production Company: Mainspring Agency | Director: Ben Hemmings
Format: Documentary | Client: University of Delaware

"Salted Earth" plunges us into the heart of an invisible and creeping crisis that's transforming the Mid-Atlantic – the inexorable rise of sea levels. This hard-hitting, yet tenderly woven 20-minute documentary paints a vivid picture of an escalating environmental catastrophe, where the threat is not just the swelling sea, but the encroaching salt that kills forests and decimates arable land, but could also signal a return to the natural order of the Atlantic Coast.

Our journey navigates the brackish waters of climate change alongside an intrepid team of scientists. Through their tireless work, they seek to unravel the intricacies of how salty water infiltrates groundwater and soils, with consequences as far-reaching as they are devastating. Their research is more than academic; it's a desperate quest for solutions that may help vulnerable communities adapt and even survive.

"Salted Earth" is not only a saga of scientific discovery. It's also a story of human resilience and ingenuity. We venture into the heart of communities, the lifeblood of the Mid-Atlantic, whose existence is at stake. We see firsthand the farmers struggling to preserve their livelihoods, community leaders forging ahead with audacious resilience strategies, and everyday individuals battling the rising tide.

Through intimate interviews with scientists, farmers, and community leaders, "Salted Earth" provides a sobering, yet inspiring look at the very real and present challenge of sea-level rise. It asks a question that affects us all: Can our strategy against the rising sea succeed, or are we fighting an unwinnable war?

The answer may unsettle you, but the journey is one you cannot afford to miss. Watch "Salted Earth" and see the future of our world through a salt-streaked lens.

Available online at: https://denin.udel.edu/salted-earth/
DOI: 10.4211/hs.a4efce8d4d114b939f0d92a18b3168c6
title: Research data-Hot spots, hot moments, and spatiotemporal drivers of soil CO2 flux in temperate peatlands using UAV remote sensing

description: CO2 emissions from peatlands exhibit substantial spatiotemporal variability, presenting challenges for identifying the underlying drivers and for accurately quantifying and modeling CO2 fluxes. Here, we integrated field measurements with Unmanned Aerial Vehicle (UAV)-based multi-sensor remote sensing to investigate soil respiration across a temperate peatland landscape. Our research addressed two key questions: (1) How do environmental factors control the spatiotemporal distribution of soil respiration across complex landscapes? (2) How do spatial and temporal peaks (i.e., hot spots and hot moments) of biogeochemical processes influence landscape-level CO2 fluxes? We find that dynamic variables (i.e., soil temperature and moisture) play significant roles in shaping CO2 flux variations, contributing 43 % to seasonal variability and 29 % to spatial variance, followed by semi-dynamic variables (i.e., Normalized Difference Vegetation Index (NDVI) and root biomass) (19 % and 24 %). Relatively static variables (i.e., soil organic carbon stock and carbon to nitrogen ratio) have a minimal influence on seasonal variation (2 %) but contribute more to spatial variance (10 %). Additionally, predicting time series of CO2 fluxes is feasible by using key environmental variables (test set: coefficient of determination (R2) = 0.74, Root Mean Square Error (RMSE) = 0.57 μmol m⁻² s⁻¹, Kling-Gupta Efficiency (KGE) = 0.77), while UAV remote sensing is an effective tool for mapping daily soil respiration (test set: R2 = 0.75, RMSE = 0.56 μmol m⁻² s⁻¹, KGE = 0.83). By the integration of in-situ high-resolution time-lapse monitoring and spatial mapping, we find that despite occurring in 10 % of the year, hot moments (i.e., periods of time which have a disproportional high CO2 fluxes compared to the surrounding) contribute 28 %–31 % of the annual CO₂ fluxes. Meanwhile, hot spots (i.e., locations which have a high CO2 fluxes)—representing 10 % of the area—account for about 20 % of CO₂ fluxes across the landscape. Our study demonstrates that integrating UAV-based remote sensing with field surveys improves the understanding of soil respiration mechanisms across timescales in complex landscapes. This will provide insights into carbon dynamics and supporting peatland conservation and climate change mitigation efforts.
DOI: 10.4211/hs.490329fca2ce4c8bb2d5891c939e2050
title: Evapotranspiration and Irrigation of Residential Turfgrass Lawns in Los Angeles, Salt Lake City, and Tallahassee

description: This dataset was collected in Los Angeles, Salt Lake City, and Tallahassee. We studied residential yards that represented a range of household income and vegetative cover categories. The dataset contains turfgrass evapotranspiration (ET), atmospheric temperature and relative humidity, intensity of incoming solar radiation, grass surface temperature, volumetric water content of the soil at 0–5 cm, irrigation depth over a single irrigation event, and the frequency of lawn irrigation reported by the residents. ET was calculated from humidity measurements made by HOBO dataloggers every 1 second inside small chambers during 10 seconds after chamber placement.
DOI: 10.4211/hs.f3f28405e79e4aeeb26fc9b278ae8d68
title: Evolution of microbial biomass, permeability, DOC, DO, Nitrate, Denitrification rate and Aerobic Respiration Rate in Hyporheic zones

description: The content of this resource serves as the data for the manusript that is prapared to submit to Geophysical Research Letters. This data was output from the two-dimensional numerical model simulations.
DOI: 10.4211/hs.b61c56f5413d4f31a594b3eecc101a08
title: Carbon Dioxide (CO2) Fluxes from Terrestrial and Aquatic Environments in a High-Altitude Tropical Catchment

description: High-altitude tropical grasslands, known as “páramos", are characterized by their high solar radiation, high precipitation, and low temperature. They exhibit some of the highest rates of ecosystem carbon storage per unit area on Earth. Recent observations have shown that paramos may be a net source of CO2 to the atmosphere as a result of climate change; however, little is known about the source of this excess CO2 in these mountainous environments or whether specific landscape positions may be disproportionally contributing more CO2 than others. We evaluated the spatial and temporal variability of surface CO2 fluxes from adjacent terrestrial and aquatic environments based on a suite of field measurements performed over seven weeks. Our findings revealed the importance of hydrologic dynamics in regulating the magnitude and likely fate of dissolved carbon in the stream. While headwater catchments are known to contribute disproportionately larger amounts of carbon to the atmosphere than their downstream counterparts, our study highlights the spatial heterogeneity of CO2 fluxes within and between aquatic and terrestrial landscape elements in headwater catchments of complex topography. Stream carbon flux to the atmosphere appeared to be transport-limited (i.e., controlled by flow characteristics, turbulent flow, water velocity) in the upper reaches of the stream, and source limited (i.e., controlled by carbon availability) in the lower reaches of the stream. These findings represent first step in understanding ecosystem carbon cycling at the interface of terrestrial and aquatic ecosystems in high-altitude, tropical, headwater catchments.
DOI: 10.15468/dl.tbb7wx
title: Occurrence Download

description: A dataset containing 3695 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (Korea, Republic of, Japan, Russian Federation, China, Korea (Democratic People’s Republic of))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Salix pierotii"
 ]
}

 The dataset includes 3695 records from 96 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0050011-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.