cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.4211/hs.ce9e86dc4cbc4e71b6d330e32ea01df0
title: Wissahickon Metabolism Data

description: This dataset is the data used in: Ledford, SH, MJ Kurz, and L Toran. 2021. Contrasting Raz-Rru stream metabolism and nutrient uptake downstream of urban wastewater effluent sites, Freshwater Science 40(1). 

It contains chemistry from grab samples taken during Raz/Fluorescein plateau injections at two sites in September 2019. Samples were also analyzed for nitrate, chloride, and total dissolve phosphorus.  Uptake calculations for Raz, nitrate, and phosphorus are included.  A range of sites (see paper for description) had loggers collecting 15-minute data which included depth, temperature, dissolved oxygen, specific conductivity, and pH. Also included are the full records from three fluorometers that were deployed during each test, collecting at 10-second intervals. The ReadMe file include more information about the injection tests and analyses.  -9999 is a placeholder throughout for missing data.
DOI: 10.4211/hs.df7f924575ab484986024f585b173e49
title: Jupyter Notebook for Computing the Well Function Using the Theis Equation

description: The Theis equation models the drawdown in an unconfined aquifer based on a given pumping rate, transmissivity, and storativity. A classic equation in hydrogeology, this example has been programmed into a Jupyter notebook. This educational resources is targeted at upper-level undergraduate students and is intended to supplement lectures or homework assignments on well hydraulics. The primary learning objectives are to identify the purpose of the equation, determine appropriate inputs and outputs, and predict the extent of drawdown around a well. Secondary objectives are to refresh skills associated with scientific and programming and learn to use a Jupyter notebook. A companion notebook to be used for pump test analysis is also available (see related resources).

**Open in native Jupyter Notebook format by clicking the blue "open with" button in the top right corner on Hydroshare. Requires numypy, matplotlib, and math libraries; Python 3 Scientific environment recommended.**
DOI: 10.4211/hs.94feed861b184722846363bd28b7306d
title: Cimate-Chemical Weathering

description: This dataset contains measurements of chemical depletion fraction (CDF), from three published articles, and estimates for each location of the dryness index (PET/P). To estimate the dryness index, long-term potential evapotranspiration (PET) was retrieved from climate data, while precipitation was provided by the three publication alongside the CDF measurements. The data reveal the strong nonlinear relation between CDF and wetness at the global scale.
DOI: 10.4211/hs.0890b3a954bf423db7d5b08f122b5436
title: Uncalibrated SWAT+ models for Blue Nile created using GUI and SWAT+ AW

description: A Graphical User Interface (GUI) is regularly used to support model applications in hydrological catchment modelling software. A GUI is generally user-friendly for novice users but opens sources of irreproducible research. We illustrate this risk by showing that none of the 10 Soil and Water Assessment Tool (SWAT) studies over the Upper Blue Nile Basin report all settings required to reproduce the model results. On the other hand, scripted workflows provide the ability to reproduce model setup and results, but they may be less user-friendly especially to novice users. We present a software (SWAT+ AW) that promotes reproducible SWAT+ model studies while remaining user-friendly for both novice and expert users. The workflow creates a SWAT+ model based on a configuration file while maintaining GUI compatibility. We applied the workflow to the Blue Nile catchment and show that it yields the same results as a model built with the SWAT+ GUI. We conclude that such user-friendly scripted workflows can help make catchment studies reproducible and offer opportunities for increased transparency and reusability of hydrological models. The software is publicly available on GitHub (https://github.com/VUB-HYDR/SWATPlus-AW).
DOI: 10.4211/hs.d5155cb57987489a95b83364d2c0f6c0
title: Derived Hydrography of World Regions

description: This resource includes three hydrographic geospatial datasets for 13 world regions including: Rivers, Watersheds, and Basin area. These datasets were developed at Brigham Young University by using standard terrain analysis tool in ArcGIS to extract features from digital elevation model data provided by Esri. The datasets were created for the purpose of supporting GEOGLOWS (http://www.geoglows.org) forecasting using ECMWF (https://www.ecmwf.int) ensemble weather/hydrologic model and the RAPID river routing model (http://rapid-hub.org). These datasets are provided free of charge for use for any purpose. If you use these data, please reference this HydroShare resource using the information provided in "How to Cite" at the bottom of this HydroShare landing page.
DOI: 10.4211/hs.1c5855dbeb3c49a8b5779300550e08f1
title: Lettuce Field UAV Time Series Summer 2019

description: Flower opening and closure are traits of reproductive importance in all angiosperms because they determine the success of self- and cross-pollination. Different accessions of cultivated and wild lettuce were observed to flower at different times of day. An F6 recombinant inbred line population (RIL) had been derived from accessions of L. serriola accession Armenian999 x L. sativa landrace PI251246 that originated from different environments and differed markedly for daily floral opening time. The 236 RILs, both parental lines, and two controls, L. sativa cv. Salinas and L. serriola accession UC96US23, were grown in summer 2019 at the Department of Plant Sciences field facility in Davis, CA. The experiment had two complete randomized blocks, each consisting of 240 plots to accommodate the 240 genotypes. Within each block, eight individuals of each RIL or parent were planted into one 10 ft x 1 row plot.  

Seven ground control points were set up in the field, four near the corners and three along the field’s East-West centerline. GPS coordinates, with an accuracy within a few centimeters, were recorded using a handheld data collector (Trimble Geo 7x Series). These coordinates were used in processing drone images to ensure that images collected at different times and dates aligned perfectly with one another. 

A MicaSense RedEdge multi-spectral camera was mounted on a DJI Matrice100 drone. The camera captured images at five wavelengths: blue (475 nm center, 20 nm bandwidth), green (560 nm center, 20 nm bandwidth), red (668 nm center, 10 nm bandwidth), red edge (717 nm center, 10 nm bandwidth), and near-infrared (840 nm center, 40 nm bandwidth). In this study, only the blue, green, and red wavelengths were used for flower identification. The drone was flown over the experimental field at 9 am, 11 am, 1 pm and 3 pm on July 1st, 2019, and 10 am, 12 pm, 2 pm and 4 pm on July 9th, 2019. A DJI GS Pro app was used to plan and execute the flight. The drone flew at 15 meters above ground, and images were taken at a frequency that ensured 85% front- and side-overlaps between each pair of adjacent images. A MicaSense calibration panel was used for automated adjustment of the reflectance spectra. Raw images from the camera were stitched and processed with the Pix4DMapper Pro photogrammetry software to generate orthomosaic maps of surface reflectance at 1 cm spatial resolution. On average, 2,309 raw images were generated per time point, and 2,181 raw images were used to assemble each five-spectrum field map. With the reconstructed maps, the borders of individual plots were manually determined using the software ArcMap.
DOI: 10.4211/hs.a9cd4c9b74254a1cb454eb3c6c92c3da
title: Vermont NEWRnet stations: 2014-2018 high-frequency discharge, nitrate, and SRP data

description: These high-frequency (15-minute) data were collected in situ from 2014 to 2018 at the following NEWRnet stream monitoring stations in Vermont, USA:
Hungerford Brook (agricultural)
Potash Brook (urban)
Wade Brook (forested)
Nitrate and SRP concentrations were measured using s::can spectro::lyser UV-Visible spectrophotometers (s::can Messtechnik GmbH, Vienna, Austria). Indicated in this dataset are hydrograph delineations (condition: event flow vs. baseflow) as described in the journal article below. For collection methods, site details, and event delineation methods see Kincaid DW, Seybold EC, Adair EC, Bowden WB, Perdrial JN, Vaughan MCH, & Schroth AW. (2020). Land use and season influence event-scale nitrate and soluble reactive phosphorus exports and export stoichiometry from headwater watersheds. (DOI to go here upon publication).
The dataset includes 2014-2015 discharge and nitrate data from Vaughan, M. (2017). Vermont NEWRnet stations: 2014-2015 high-frequency DOC, nitrate, and discharge data, HydroShare, http://www.hydroshare.org/resource/faac1672244c407e9c9c8644c8211fd6.
DOI: 10.4211/hs.85fa32a11fbb49779033934a135f54ef
title: Vermont EPSCoR stream stations: 2014-2018 high-frequency discharge, nitrate, and SRP data

description: These high-frequency (15-minute) data were collected in situ from 2014 to 2018 at the following Vermont EPSCoR stream monitoring stations in Vermont, USA (formerly of the North East Water Resources Network [NEWRnet]):
Hungerford Brook (agricultural)
Potash Brook (urban)
Wade Brook (forested)
Nitrate and SRP concentrations were measured using s::can spectro::lyser UV-Visible spectrophotometers (s::can Messtechnik GmbH, Vienna, Austria). Also included in this dataset are hydrograph delineations (condition: event flow vs. baseflow) as described in the journal article below. 
For site details and collection and event delineation methods see Kincaid DW, Seybold EC, Adair EC, Bowden WB, Perdrial JN, Vaughan MCH, & Schroth AW. (2020). Land use and season influence event-scale nitrate and soluble reactive phosphorus exports and export stoichiometry from headwater watersheds. (DOI to go here upon publication).
The dataset includes 2014-2015 discharge and nitrate data from Vaughan, M. (2017). Vermont NEWRnet stations: 2014-2015 high-frequency DOC, nitrate, and discharge data, HydroShare, http://www.hydroshare.org/resource/faac1672244c407e9c9c8644c8211fd6.
DOI: 10.4211/hs.d24921ba081d431e80685bf177a0840f
title: Hydrus 1D - archive of version 4.16.0110

description: HYDRUS 1D is an open source, Windows-based software package for simulation of of one-dimensional water movement through variably saturated porous media. The model solves Richards equation for increments of soil depth with thickness and hydrologic characteristics specified by the user. Soil hydrologic characteristics can be assigned based on van Genuchten parameters provided within HYDRUS based on soil texture, or can be specified by the user. The model incorporates a sink term for plant water uptake and provides different options for specifying rooting depth and growth rate. The model provides water content and flux values for observation points at depths specified by the user. The program has a graphical user interface for modifying inputs and visualizing model results, but it is also possible to modify model inputs and visualize outputs by working with the HYDRUS 1D text files, using a program such as R. Using R to modify model input files allows for running many model scenarios in a loop, which streamlines analysis on complex sets of model runs.
DOI: 10.4211/hs.7e8f77da6bd345ed9bf74c0b7f7c911f
title: Modeling hydrologic controls on particulate organic carbon contributions to beach aquifer biogeochemical reactivity

description: The intertidal zone of beach aquifers hosts biogeochemical transformations of terrestrially-derived nutrients that are mediated by reactive organic carbon from seawater infiltration. While dissolved organic carbon is often assumed the sole reactive organic carbon component, advected and entrapped particulate organic carbon (POC) is also capable of supporting chemical reactions. Retarded advection of POC relative to groundwater flow forms pools of reactive carbon within beach sediments that support biogeochemical reactions as dissolved solutes move across them due to transient groundwater flow. In this work, we simulate the contribution of POC to beach reactions and identify parameters that control its relative contribution using a groundwater flow model (SEAWAT) and reactive transport model (PHT3D). Results show transient contributions of POC to denitrification, as the spatial extent of the saline circulation cell varies over time due to changing hydrologic factors. A decrease in POC retardation and an increase in tidal amplitude during POC deposition resulted in POC expansion, which increased the relative contributions of POC to beach reactivity. Decreased hydraulic conductivity and increased tidal amplitude post-deposition decreased the utilization of POC for denitrification by allowing the oxic, saline water to completely encompass the pool of POC. Results highlight that POC is an intermittently-utilized source of carbon that displays complex spatial relationships with groundwater flow conditions and overall beach biogeochemistry. This work demonstrates that POC may be a periodically important, but overlooked contributor to biogeochemical reactions in carbon-poor beach aquifers. This resource contains the input and output files for the base case model.
DOI: 10.4211/hs.891fcba010e6490caa614a39d53dccec
title: Chemical composition of streams, groundwaters, soils, and rocks in La Selva Biological Research Station, Costa Rica (May 14-20th 2010)

description: Please cite: Baronas, J. J., A. J. West, K. W. Burton, D. E. Hammond, S. Opfergelt, P. Pogge von Strandmann, R. H. James, O. J.Rouxel (2020), Ge and Si isotope behavior during intense tropical weathering and ecosystem cycling. Global Biogeochemical Cycles. DOI: https://dx.doi.org/10.1029/2019GB006522

This resource reports geochemical data (elemental composition and Si and Ge isotope ratios) of stream water, groundwater, stream sediment, bulk soils, rocks, and separated clays collected in May 2010 in the La Selva Biological Research Station, as well as the surrounding area in the Heredia Province, Costa Rica. The majority of these data form the basis of the peer-reviewed article "Ge and Si isotope behavior during intense tropical weathering and ecosystem cycling" by Baronas et al. published in Global Biogeochemical Cycles, 2020. 

The associated metadata are supplied in the Baronas2020_LaSelva_metadata.csv file and the chemical data are supplied in the Baronas2020_LaSelva_chemical_data.csv file. The data tables from the Baronas et al. (2020) article are also supplied in the Baronas2020_GBC_tables.xlsx file. The sampling and analytical methods are described in the file Baronas2020_LaSelva_methods.pdf.
DOI: 10.4211/hs.df67f8edc90d4d6c85806928611e4c02
title: Local storage dynamics of individual wetlands predict landscape scale discharge

description: Data Abstract: These data are posted in support of a recent paper (Klammler et al. 2020 in WRR) that describe a reduced-complexity catchment model framework for wetlandscapes with a demonstration in Big Cypress National Preserve, Florida. The data files consist of a spreadsheet with the hydrologic data utilized, a folder of the raw LiDAR subsets utilized to calculate inundation statistics, and a folder of the ECDF's that were calculated from processed LiDAR subsets. 

Paper Abstract: Wetlands provide valuable hydrological, ecological, and biogeochemical functions, both alone and in combination with other elements comprising wetlandscapes (i.e., low-relief landscapes with significant distributed surface water storage). Understanding the processes and mechanisms that create wetlandscape functions, as well as their sensitivity to natural and man-made alterations, requires a sound physical understanding of wetland hydrodynamics. Here, we develop and apply a single reservoir hydrologic model to a low-relief karst wetlandscape in southwest Florida (≈ 103 km^2 of Big Cypress National Preserve) using precipitation P and potential evapotranspiration PET as climatic drivers. This simple reduced-complexity approach captures the dynamics of individual wetland storage across the entire wetlandscape and accurately predicts landscape discharge. Key model insights are the primacy of depth-dependent extinction of evapotranspiration ET, and the negligible effects of depth-dependent specific yield, effects of which are averaged by landscape roughness. We identify three phases of the wetlandscape hydrological regime: dry, wet-stagnant, and wet-flowing. The reduced-complexity model allowed a simple steady-state analysis, which demonstrated the consistent and sudden seasonal shifting between wet-stagnant and wet-flowing states indicating thresholds when P ≈ PET. Notably, stage data from any single wetland appears sufficient for accurate whole-landscape discharge prediction, reflecting the relative homogeneity in timing and duration of local wetland hydrologic connectivity in this landscape. We also show that this method will be transferable to other wetlandscapes, where individual storage elements are hydrologically synchronous, whereas model performance is expected to deteriorate for hydrologically more heterogeneous wetlandscapes.
DOI: 10.4211/hs.0fc3b9ef257a47728720b51b41f82c80
title: Serio data for Regime_model and Alteration_model

description: The following Resource includes useful data used to study the water thermal alterations of subalpine lotic ecosystems due to the combined effects of high-altitude reservoirs and run-of-river hydroelectric power plants. 
The resource includes:
-Water temperature (monitored in nine stations located along the Serio river (north Italy) for more than one year (July 2018-December 2019) 
-Air temperature at a daily scale of the Upper Serio catchment coming from ARPA Lombardia website
-Flow estimates and diversion rates of power plants of the ROR hydroelectric power plants
-Transit time, speed, length of riverine stretches subjected to ROR plants
-Data of river morphology (n Manning, Hydraulic radius) 
-Information regarding the monitoring sites
This data provided to create quantitative models able to describe and predict the daily water thermal regime and alterations.
DOI: 10.4211/hs.acf9a56e93bc4863b972e1e8af36dc0c
title: Data for La Follette et al (Numerical Daemons and extreme precipitation)

description: These are the .nc and readme files which contain the model runs for La Follette et al., which is a paper about numerical methods in hydrological models and extreme precipitation.
DOI: 10.4211/hs.89b0952512dd4b378dc5be8d2093310f
title: NOAA National Water Model Reanalysis Data at RENCI

description: This data release provides the reanalysis streamflow data from versions 1.2 and 2.0 of the National Water Model structured for feature level extraction. The impact of this is that user can query time series for a given NHDPlusV2 COMID without downloading the hourly CONUS files and extracting the sample of relevant values. 

The data is hosted on the RENCI THREDDS Data Server and is accessible via OPeNDAP at athe follwoing URLs:

Version 1.2
(http://thredds.hydroshare.org/thredds/dodsC/nwm_retrospective/nwm_retro_full.ncml.html)
 - Spans 1993-01-01 to 2017-12-31
 - Contains 219,144 hourly time steps for
 - 2729077 NHD reaches

Version 2.0
(http://thredds.hydroshare.org/thredds/dodsC/nwm_retrospective/nwm_v2_retro_full.ncml.html)
 - Spans 1993-01-01 to 2018-12-31
 - Contains 227,903 hourly time steps for
 - 2,729,076 NHD reaches

Raw Data
(https://registry.opendata.aws/nwm-archive/)
- 227,000+ hourly netCDF files (depending on version)
DOI: 10.4211/hs.39b0d20939df4b72b2fd1fa05a8fc99b
title: Scripts for "Effects of Shifting Snowmelt Regimes on the Hydrology of Non-Alpine Temperate Landscapes"

description: Warming winter temperatures are causing changes to snow melt hydrology in Michigan. These changes to snow melt timing and amount, streamflow timing and net groundwater recharge were quantified using the statistical software "R". These scripts use various publically available datasets and R package addons  to examine snowmelt hydrology in Michigan from 2003-2017. The detailed results of this study are published in Ford et al., 2020 (doi: 10.1016/j.jhydrol.2020.125517).
DOI: 10.4211/hs.873b5490f986428bbd23e37c81906402
title: Hydrologic Stats and Data Analysis (HL1)

description: Hydrologic Data Analysis, and Conservation Laws
DOI: 10.4211/hs.173cff98da3c4263a110cba8c6d62406
title: Selected hydrograph events from Raccoon River Watershed

description: We analyzed daily nitrate concentration (c) and discharge (Q) data for a four-year period (2016-2019) from five nested, agricultural watersheds in the Midwestern United States. We partitioned the hydrograph into stormflow and baseflow periods and examined the nitrate export patterns of those periods separately through the analysis of their concentration-discharge (c-Q) relationships. Baseflow showed consistently positive c-Q chemodynamic slope, while stormflow c-Q relationships showed a much weaker chemostatic pattern. This suggests that water source contributions during baseflow are nonstationary. Anomalous flow periods greatly influenced overall c-Q patterns, suggesting that understanding event-scale characteristics is critical when interpreting seasonal or annual patterns. The watersheds span two distinct landforms shaped by differences in geologic history resulting in natural landscape properties that necessitated different drainage infrastructure across the study area. The density of built drainage infrastructure was a strong predictor of c-Q relationship and nitrate load, with more drainage infrastructure associated with higher loads and more chemostatic export patterns across all watersheds. This suggests that how humans ‘replumb’ the subsurface in response to geologic conditions has implications for hydrologic connectivity, homogenization of source areas, and subsequently nutrient export. This resource is the time series of discharge and nitrate partitioned into stormflow ("siteeventsdataframe.RDS") and baseflow ("sitenonevents.RDS").
DOI: 10.4211/hs.aaa94bd4f39d4403876949bc91eaabce
title: Flow visualized in an anorthite microdevice using fluorescent beads

description: Fluid flow in an anorthite microdevice was visualized using fluorescent beads with the average flow velocity of 0.083 mm/s. The main pressure gradient was applied from right to left but the flow was also developed along the orthogonal channel with the velocity comparable to the velocity along the main flow direction.
DOI: 10.4211/hs.61a19724394643fca62a4fb3ce881efe
title: Occoquan Watershed Data

description: This resource contains the following data: (1) sodium concentration measurements on grab samples at ST10, ST45 and UOSA; (2) hourly in-situ specific conductance at ST45 and UOSA; (3) hourly discharge at ST10, ST45, and daily discharge at UOSA; (4) daily rainfall in the Occoquan Watershed, daily snow depth at Dulles International Airport (IAD) and daily minimum air temperature at IAD.
DOI: 10.4211/hs.d2230071c2c145ffb722592073efb1af
title: Stochastic simulations and regional hazard assessment for CAMELS dataset over the United States

description: This resource provides (1) stochastic continuous streamflow simulations for the 671 catchments in the CAMELS dataset by Addor et al. (2017), (2) peak-over-threshold events extracted from the observed and stochastically simulated series for different flood thresholds, and (3) an R-script to calculate regional flood hazard probabilities using the susceptibility index proposed by Brunner et al. (2020). It accompanies the manuscript How probable is widespread flooding in the United States by Brunner et al. (2020).

Brunner, M. I., Papalexiou, S., Clark, M. P., & Gilleland, E. (2020). How probable is widespread flooding in the UnitedStates? Water Resources Research, 56,e2020WR028096. https://doi.org/10.1029/2020WR028096.