cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.4211/hs.9ae612af600c4325a809b010107d5ae9
title: Simulated Maximum Wave Heights for the December 2016 Alaskan Arctic Extratropical Cyclone under Varying Sea Ice Scenarios

description: This dataset contains simulated wave data generated from the ADCIRC+SWAN model in the Alaskan Arctic and run for the December 2016 extratropical cyclone spanning from December 20th 2016 to January 9th 2017. Simulations differ in the sea ice forcing fields used in simulation. For the historical simulation, sea ice data was also obtained from ERA5 Climate Reanalysis while future decades' and scenario's projected sea ice fields were sourced from the CESM2-WACCM model. For each climate scenario and decade there are five available realizations and thus a single storm simulation is performed using daily sea ice specific to the year, emissions pathway, and ensemble member – making for a total of 20 simulations performed using climate model projected sea ice fields. Finally, two additional simulations were performed to establish an upper and lower bound of sea ice coverage. An open-water simulation, without sea ice as an input, and an ice-full simulation, where all sea ice input grid points within the Beaufort and Chukchi Seas are given a sea ice concentration of 100%. Data is contained in NetCDF format using an unstructured triangular mesh. The max_HS variable presents the maximum significant wave height (highest one thirds of wave heights) to occur for each node during the simulation.
DOI: 10.4211/hs.cd719845742049a199424555d160fa24
title: SMVI Global Flash Droughts Dataset

description: We present a global dataset of flash drought events, meticulously compiled using the Soil Moisture Volatility Index (SMVI), a cutting-edge tool initially applied within the United States. This dataset marks a significant expansion of the SMVI methodology to a global context, offering an essential resource for comprehensively understanding and predicting rapidly evolving drought phenomena. Characterized by detailed information on the onset, duration, and severity of each event, the dataset covers a wide array of climatic zones, thus providing a diverse and inclusive global perspective. A key feature of this dataset is the integration of atmospheric variables, which sheds light on the meteorological factors driving and influencing flash droughts. Such integration allows for an in-depth exploration of the complex interplay between soil moisture and atmospheric conditions, enhancing our understanding of drought dynamics.
DOI: 10.15468/dl.nywep7
title: Occurrence Download

description: A dataset listing the 1 species recorded in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-95.69666 -14.08488,-60.30334 -14.08488,-60.30334 0.08488,-95.69666 0.08488,-95.69666 -14.08488))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Parkinsonia peruviana"
 ]
}

 The dataset's 1 records were derived from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0049978-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.4211/hs.b7b0cf37a8a44963b85943728ec35101
title: Radon-222 of Water (Surface and Ground) from Tulum, Mexico

description: This is radon-222 data of waters from Tulum, Mexico. The data accompanies the manuscript "Water sample collection methods for 222Rn analysis by scuba diving: Insights on groundwater flushing of anchialine cave systems of the Yucatan Peninsula" by M. Bayani Cardenas, Ivo Chiarino, Josiah M. Sananda, William D. Nguyen and Daniella M. Rempe.
DOI: 10.4211/hs.10682cc81b714737bf5d2b4eddd543ea
title: Hydrological measurements - WatForFun project

description: This dataset accompanies the paper "Inundation dynamics in seasonally dry floodplain forests in southeastern Brazil" submitted to Hydrological Processes. It consists of: (1) Coordinates of the study sites; (2) Water level data for 60 wells installed across 6 floodplain forests in southeastern Brazil (Aiuruoca, Capivari, Jacare, Jequitai, Verde Grande and Carinhanha); (3) Saturated hydraulic conductivity measurements at the surface and at 25 and 40cm depths for the study sites; (4) Daily precipitation data interpolated for the study sites location based on National Water Agency data.
DOI: 10.4211/hs.e8e38647523a4e4ca186928958cb21f6
title: Peru Watershed Data for the Arequipa Region

description: Surface water quality has been monitored in southern Peru for over a century, but the information is only available from various organizations with considerable delay after official requests. A substantial portion of the data have not been quality assured and were available in difficult-to-access formats such as scanned PDF documents, which made it difficult to evaluate water quality trends. In this project, we gathered all available surface water quality information from five watersheds in the Arequipa Region of southern Peru: Camaná, Chili, Ocoña, Tambo, and Yauca. The effort required entry of more than 130 thousand records of general chemistry, nutrients, and parameters, metals, organic compounds, and biological taxa from 276 stations. The water quality records span the years 2012 to 2021 for most data, but Chili does include data starting from 1905. This paper describes how the water quality data were assimilated and provides one master Excel database so that the surface water quality data can be used for research and decision making.
DOI: 10.4211/hs.642ff72592404a17bb85a8a92b4dbcd6
title: SMVI Global Flash Droughts Dataset

description: We present a global dataset of flash drought events, meticulously compiled using the Soil Moisture Volatility Index (SMVI), a cutting-edge tool initially applied within the United States. This dataset marks a significant expansion of the SMVI methodology to a global context, offering an essential resource for comprehensively understanding and predicting rapidly evolving drought phenomena. Characterized by detailed information on the onset, duration, and severity of each event, the dataset covers a wide array of climatic zones, thus providing a diverse and inclusive global perspective. A key feature of this dataset is the integration of atmospheric variables, which sheds light on the meteorological factors driving and influencing flash droughts. Such integration allows for an in-depth exploration of the complex interplay between soil moisture and atmospheric conditions, enhancing our understanding of drought dynamics.
DOI: 10.15468/dl.mhjp3n
title: Occurrence Download

description: A dataset containing 52554 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Saccharina latissima",
 "Year 1902-2025"
 ]
}

 The dataset includes 52554 records from 215 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0049962-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.4211/hs.091e74a3643542258620d313960291b3
title: Fluvial Energy Balance Model (FLUVIAL-EB)

description: We developed a spectral river energy balance model (FLUVIAL-EB, Bray et al., 2017) to predict energy fluxes and river temperature along a large lowland regulated river and, more specifically, developed a module within the model with the specific aim of quantifying the response of river temperatures to perturbations in atmospheric variables. For clear, flowing water that is usually present below dams, FLUVIAL-EB couples a spectral radiation balance model with turbulent energy fluxes, bed conduction, and a 1D hydraulic model employed over the longitudinal profile of a lowland river whose water depth and velocity vary with distance downstream. The dynamic component of the model accounts for the feedback between spatial and temporal variability in water temperature and changes in the atmospheric fluxes and conduction into or out from the streambed. The predicted water temperature is used to compute the latent, sensible, net longwave, bed conduction, and advective energy flux at every time step. Absorbed shortwave radiation is computed for every wavelength in the solar spectrum, and then integrated across all wavelengths. The continuous component of the model interpolates between measurements at meteorological stations at discrete times. Because the governing differential equation is instantaneous, the input meteorological variables must be available for any values of x and t. From hourly averages of input data, we calculated instantaneous data by generating a cumulative sum, applying a smoothing spline, and then taking the derivative. Doing so allows for a continuous spatial and temporal field of the entire river based on hourly meteorological data and modeled steady-state hydraulic values under bankfull flow conditions, with temporal resolution up to 30 s and spatial resolution of every 100 m along the river. The compressed file of the model folder ('FLUVIAL-EB_BrayDozier_2023.zip') contains approximately 82 Matlab scripts and .mat files that, together, make up the entire FLUVIAL-EB model; all are compatible in Matlab version 2023b. The primary command line function, used to run model simulations, is titled 'riverExplicitSoln.m'. To run the model for the spatial extent on the San Joaquin River, CA, USA, you must install the following Matlab Toolboxes: Computer Vision, Curve Fitting, Database Toolbox, Image Processing Toolbox, Mapping Toolbox, Signal Processing Toolbox, Statistics and Machine Learning Toolbox, and the Raster Reprojection Toolbox (not on Mathworks, written by Jeff Dozier and attached below). For examples of command lines used in model simulations, see 'runmodel_baseline.m'.
DOI: 10.4211/hs.9f41a8d821584da5aa69b7f3251341d7
title: Peru Watershed Data for the Arequipa Region

description: Surface water quality has been monitored in southern Peru for over a century, but the information is only available from various organizations with considerable delay after official requests. A substantial portion of the data have not been quality assured and were available in difficult-to-access formats such as scanned PDF documents, which made it difficult to evaluate water quality trends. In this project, we gathered all available surface water quality information from five watersheds in the Arequipa Region of southern Peru: Camaná, Chili, Ocoña, Tambo, and Yauca. The effort required entry of more than 130 thousand records of general chemistry, nutrients, and parameters, metals, organic compounds, and biological taxa from 276 stations. The water quality records span the years 2012 to 2021 for most data, but Chili does include data starting from 1905. This paper describes how the water quality data were assimilated and provides one master Excel database so that the surface water quality data can be used for research and decision making.
DOI: 10.4211/hs.774abdf009a54b358d35e501eca34fd8
title: Influence of evaporation and high-frequency seawater inundation on salinity dynamics in swash zones

description: The interactions between the atmosphere, ocean, and beach in the swash zone are dynamic, influencing water flux and solute exchange across the land-sea interface. However, the integrated role of these interactions in governing transport processes within the swash zone remains unexplored. This study employs groundwater simulations to examine the combined effects of waves and evaporation on subsurface flow and salinity dynamics in a shallow beach environment. Our simulations reveal that wave motion generates a saline plume beneath the swash zone, where evaporation induces hypersalinity near the sand surface. This leads to the formation of a hypersaline plume beneath the swash zone during periods of wave recession, which extends vertically downward, driven by the resulting vertical density gradients. This hypersaline plume moves landward and down the beachface due to wave-induced seawater infiltration and is subsequently diluted by the surrounding saline groundwater. Furthermore, swash motion increases near-surface moisture, leading to an elevated evaporation rate, with dynamic fluctuations in both moisture and evaporation rate due to high-frequency surface inundation caused by individual waves. Notably, the highest evaporation rates on the swash zone surface do not always correspond to the greatest elevations of salt concentration within the swash zone. This is because optimal moisture is also required – neither too low to impede evaporation nor too high to dilute accumulated salt near the surface. These insights are crucial for enhancing our understanding of coastal groundwater flow, biogeochemical conditions, and the subsequent nutrient cycling and contaminant transport in coastal zones.
DOI: 10.4211/hs.a73bb03017fe4bff9e7b5f8a6a7daf55
title: Continental-scale hydrologic modeling using the HLM TETIS

description: This hydroshare provides the source code utilized for the model runs, calibration, input processing, data analysis and figure creation for the manuscript under review at JAWRA. The abstract of the manuscript is as follows: In this study, we evaluate the performance of the TETIS model structure of the Hillslope-Link Model (HLM), which is a distributed hydrologic model. We explore performance across the contiguous United States (CONUS) at 5046 United States Geological Survey (USGS) streamgages. Specifically, we compare observed daily discharge from 1981 through 2020 with long term continuous simulations from the HLM TETIS. To obtain model parameters across CONUS, we run calibration by partitioning the study area based on 234 HydroSHEDS level 5 basins and calibrating to a single representative location near the outlet of each basin. Next, we utilize the remaining USGS gages for validation. We assess the model performance with the Kling Gupta Efficiency (KGE) and bias. We find the median KGE across CONUS is 0.43, with 80% of the gages above 0 and 43% above 0.5. Furthermore, our results show there is a dependence of the model performance on climate regions, with arid basins performing worse than basins in cold and temperate regions. To improve the model performance, we recalibrate these arid basins and highlight an overall performance improvement. Next, we compare model performance between simulations with different precipitation inputs to examine the robustness of the selected model parameters. Overall, our study highlights the model’s flexibility in performing across regions with different runoff generation mechanisms and provides a basis for future.
DOI: 10.4211/hs.436be40748a246269102b20211b49762
title: Dataset for "Technical Note: Preventing CO2 overestimation from mercuric or copper (II) chloride preservation of dissolved greenhouse gases in freshwater samples" Clayer et al.

description: This dataset includes dissolved gas concentrations data from two Norwegian lakes comparing different preservation and analysis methods. This dataset was used for "Mineralization of organic matter in boreal lake sediments: Rates, pathways and nature of the fermenting substrates" by Clayer et al. 2024, Biogeosciences
DOI: 10.4211/hs.e9fe66730d184bdfbaea19639bd7cb55
title: National Water Model RouteLinks CSV

description: This resource contains "RouteLink" files for version 3.0.7 of the National Water Model which are used to associate feature identifiers for computational reaches to relevant metadata. These data are important for comparing NWM feature data to USGS streamflow and lake observations. The original RouteLink files are in NetCDF format and available here: https://www.nco.ncep.noaa.gov/pmb/codes/nwprod

This resource includes the files in a human-friendlier CSV format for easier use, and a machine-friendlier file in HDF5 format which contains a single pandas.DataFrame. The scripts and supporting utilities are also included for users that wish to rebuild these files. Source code is hosted here: https://github.com/jarq6c/NWM_RouteLinks
DOI: 10.4211/hs.98a6cb4e3f0b49d2b6910c26a2d8f7f8
title: Supplement for "Geologic and tectonic controls on deep fracturing, weathering, and water flow in the central California Coast Range"

description: This data repository contains data associated with the manuscript "Geologic and tectonic controls on deep fracturing, weathering, and water flow in the central California Coast Range".
DOI: 10.4211/hs.66c7547f746142cba6e769d7b3efaddf
title: Model Files for "Effectiveness of Stormwater Control Measures in Protecting Stream Channel Stability"

description: This resource archives Model files supporting the paper "Effectiveness of Stormwater Control Measures in Protecting Stream Channel Stability". 
The abstract for this paper follows: "While research on the hydrologic impact of different types of stormwater control measures (SCMs) is extensive, little research exists linking urbanization, widespread implementation of SCMs, and channel stability in headwater streams. This study evaluated whether the Unified Stormwater Sizing Criteria (USSC) regulations in the state of Maryland, USA, which require the use of both end-of-pipe and distributed, small-scale SCMs, protect channel stability. To achieve this goal, a coupled hierarchical modeling approach utilizing the Storm Water Management Model (SWMM) and the Hydrologic Engineering Center River Analysis System 6.3 (HEC-RAS) was developed to predict changes in streamflow and sediment transport dynamics in a first-order gravel-bed, riffle-pool channel. Storm event discretization revealed that 88% of observed storm events during the 16 years (2004-2020) had durations less than 18 hours and that the greatest peak flows resulted from storm events with durations less than 24 hours. HEC-RAS simulation results also showed that both channel degradation and aggradation, as high as 1.2 m, will likely occur regardless of the combination of SCMs employed in the catchment. Overall, this study provides valuable insights into the complex interactions between SWM practices, flow regimes, and sediment transport dynamics in heavily urbanized watersheds. It is recommended that SCMs be designed using a continuous simulation model with at least 10 years of continuous rainfall data. Furthermore, to protect channel stability, the SCM design goal should focus on maintaining pre-development sediment transport regimes across a range of flows."
DOI: 10.4211/hs.fa6840cb376f4311af2bb5f52724ce7c
title: Data and Code for the Virtual Wells Imputation framework

description: This resource includes the dataset and Matlab code corresponding to the manuscript titled "An Imputation Method for Simulating 3D Well Screen Locations from Limited Regional Well Log Data".
DOI: 10.4211/hs.7dc98bc3f9bc498ea5a6ec4bbce3d60a
title: Storing Water for the Environment Reservoir Temperature Model

description: Dams and reservoirs are often needed to provide environmental water and maintain suitable water temperatures for downstream ecosystems. We evaluate if water allocated to the environment, with storage to manage it, might allow environmental water to more reliably meet ecosystem objectives than a proportion of natural flow. We use a priority-based water balance operations model and a reservoir temperature model to evaluate 1) pass-through of a portion of reservoir inflow versus 2) allocating a portion of storage capacity and inflow for downstream flow and stream temperature objectives. We compare trade-offs to other senior and junior priority water demands. In many months, pass-through flows exceed the volumes needed to meet environmental demands. Storage provides the ability to manage release timing to use water efficiently for environmental benefit, with a co-benefit of increasing reservoir storage to protect cold-water at depth in the reservoir.
DOI: 10.4211/hs.ce4acf45a05e435795c01c56eef08eda
title: SWMM model files for Minebank Run, Baltimore, MD (As-is, ESD, Ponds)

description: Minebank Run watershed is located in Baltimore Co., Maryland and drains parts of Towson, MD. Development within the watershed started in the 1930s and accelerated in the 1950s and 1960s.  Most of the developed area was built prior to the development of stormwater management regulations. A SWMM model was developed for Minebank run to simulate runoff resulting from 5-minute rainfall for the period of 1948-2001. Hourly precipitation records were available starting in 1948 and were disaggregated in order to run the SWMM model on a 5-minute basis. Land cover changes were studied using historic aerial photographs and satellite imagery of the area and shapefiles of structures and roads provided by Baltimore County.  The GIS data obtained from Baltimore County reflected the most up-to-date ground conditions.  The historic aerial imagery were used to eliminate structures from undeveloped areas working backward in time from the county GIS data to reflect conditions on the ground during each land cover period. Existing stormwater management practices consisted mostly of detention ponds.  Five such ponds were identified in the Minebank Run watershed that were large enough to potentially cause an impact on a watershed level.  Detention ponds are represented in SWMM by developing the depth-surface area curve and determining the type, size, and elevation of the outfalls.  Multiple outfall types exist for each pond including weirs and pipes. The SWMM model was calibrated for water year 2018 and validated for water year 2012.
DOI: 10.4211/hs.69ba717c227849b28b424030fee66679
title: Ecological Use Attainment by State Waters in the US

description: Under the requirements of the Clean Water Act, every state in the US must report to the EPA every two years on the designated uses for its waterways and whether those designated uses are being attained. These reports are summarized in the EPA ATTAINS database, and those data are publicly available through an application programming interface provided by EPA. This Hydroshare resource provides code for extracting these designated use attainment data, specifically those designated uses that are ecologically related, for two time periods: 2008 and 2022. The scripts summarize the the total number of river miles for each state and the US, collectively, that are attaining, not attaining, not assessed, or had insufficient data to report on.
DOI: 10.4211/hs.9d60389f55b648149a788a2ff7bc3766
title: The Dynamic World Global Surface Water Data: 2015-2023 (version 1)

description: Advances in data availability, Earth observation technologies, and geospatial sciences have transformed our ability to map Global Surface Water Extents (GSWE). However, traditional GSWE mapping has been limited to static estimates, with more recent efforts focusing on annual averages and temporal attributes like frequency and occurrence of long-term variations. We harnessed remotely sensed Sentinel-2 based near real-time Dynamic World land cover product to produce the first public, routinely available 10-meter resolution global surface water datasets. Our key contribution is an Open Science operational framework to rapidly extract the latest available Dynamic World products every 2-5 days, run geospatial analytics, and create actionable water information for educators, researchers, and stakeholders at any scale of practical interest. 

This dataset was developed by the Hydrology & Hydroinformatics Innovation Lab at the University of Texas at Arlington, United States.
DOI: 10.4211/hs.6add10f355ff440a8129462b532ac8ca
title: Experimental data for "Coupled effect of injection-induced fracture deformation and non-Newtonian rheology on multiphase flow behavior"

description: This resource contains the datasets for the manuscript "Coupled effect of injection-induced fracture deformation and non-Newtonian rheology on multiphase flow behavior", including three Excel files for the data of the radial injection experiments of 0.1wt%, 0.3wt%, and 0.5wt% xanthan gum solutions.