cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.4211/hs.21288ab8a18d498e8a1ebea30b87664e
title: Diffusion_sand_slide

description: This repository has the code and cases for the sand slide model. It is developed with
 OpenFOAM v1812.

Content:
 1. solvers: geomSlideFoam for geometric sand slide model
             sandSlideFoam for slope-limited diffusive sand slide model
             scourPimpleDyMFoam for scour model using slope-limited diffusive
             sand slide method.
 2. libraries: library for sediment transport.
 3. utilities: some tools, for example the setup of initial bed elevation
               field using the setBedShape tool.
 4. cases: all simulation cases.

Notes:
 1. As of now, only the bedload part is modeled.

 Authors:
 Xiaofeng Liu and Yalan Song
 Penn State University
DOI: 10.4211/hs.172bf3533b1d46ea8d89feea51d44fb7
title: Hillslope River Routing Variable Infiltration Capacity Model (HRR-VIC) and Calibration Results

description: This resource is a modified version of the Hillslope River Routing (HRR) model (Beighley et al., 2009), which now derives surface and subsurface flow using the Variable Infiltration Capacity (VIC) model formulation equations (Liang et al., 1994), termed the HRR-VIC model. HRR is a topography-based routing model that integrates surface and subsurface runoff laterally into river channels and routes discharges throughout the river network based on the Muskingum–Cunge method, resulting in discharge estimates for each river reach. Model results and code for 39 gauges in the Ohio River Basin over a 9 year span is presented, as a reference for the study, "The Applicability of SWOT’s Non-Uniform Space–Time Sampling in Hydrologic Model Calibration," doi:10.3390/rs12193241.
DOI: 10.4211/hs.290ba9fc5b654f9f90ff59bafa5bfe98
title: Simulation Data from Rice et al. (2020), Numerical investigation of wellbore methane leakage from a dual-porosity reservoir and subsequent transport in groundwater

description: Three‐dimensional, multiphase simulations are used to analyze migration of methane leakage from a hydrocarbon wellbore. The objective is to evaluate the relevance and importance of coupling fast, advective transport of methane through fractures with slower, diffusive transport in the shale matrix below a freshwater aquifer on water quality assuming dual‐domain mass transfer (DDMT) in the reservoir by using the Multiple Interacting Continua (MINC) as implemented in TOUGH2. The conceptual model includes a methane gas‐phase leak from a wellbore 20‐30 m below an aquifer; multiphase, buoyant transport through shale partially saturated with brine; and, after methane leakage reaches groundwater, multiphase transport under varying lateral groundwater flow gradients. Results suggest that DDMT affects the rate of methane reaching groundwater by (i) providing long‐time secondary storage in less‐mobile pore space and (ii) creating larger methane‐plume diameters than those predicted by a single‐domain advection‐diffusion equation. Compared to models without DDMT, these factors combine to increase methane flow rates by an order of magnitude across the base of the aquifer 100 years after leakage begins. In the simulated aquifer, dissolution of gas‐phase plumes leads to bimodal aqueous‐phase methane breakthrough curves in a simulated water well 100 m downstream from leakage, with peak concentrations appearing decades after a one‐year pulse of leakage. The major implication is that DDMT in the reservoir can explain newly discovered methane concentrations in water wells attributable to older leakage events. Therefore, remediation of abandoned or legacy wells with wellbore integrity loss may be necessary to prevent future incidents of groundwater contamination.
DOI: 10.4211/hs.d28c7b2d81a644bfba15762074230988
title: English Translation of Chappuis (1946) "A new biotope of aquatic underground fauna".

description: This resource contains an English translation of P.A. Chappuis' article "A new biotope of aquatic underground fauna" and a copy of the original “Un nouveau biotope de la faune souterraine aquatique” published in 1946 in the Bulletin de la Section Scientifique de l’Académie Roumaine, 29: 1-8. The article was translated by S.P. Herzog, edited by A. Herzog Howell, and the translation also includes a prefatory note by A.S. Ward and S.P. Herzog. Chappuis' article was the first to identify the new biotope that would later by named the hyporheic zone (i.e., by T. Orghidan in 1955). We hope that by making this article available to English speakers, a new generation of scientists will learn more about the origins of hyporheic science and be inspired as they make their own discoveries.
DOI: 10.4211/hs.73aaa3efcda2465ba6227f535400f36b
title: Height Above Nearest Drainage (HAND) for CONUS

description: Height Above Nearest Drainage (HAND) is an approach for estimating the vertical height of any point on the landscape from the nearest stream surface or bed.  The first version 0.1 of this dataset is based on the U.S. Geological Survey's National Elevation Dataset (NED) with 10-meter horizontal resolution, comprising raster data for the 331 HUC-6 units in conterminous U.S. (CONUS), excluding the five units of the great lakes. This was developed at the UIUC CyberGIS supercomputing facility, and is now archived at the UT Austin TACC (Texas Advanced Computing Center) for download [1].  As of summer 2020, it has been updated to version 0.2, now hosted at Oak Ridge National Lab's HPC server [2]. The 2017 Harvey subset of CONUS HAND is at [3]. 

In 2023, Oak Ridge National Laboratory (ORNL) computed the 3-meter HAND for Texas, see [4].

To interactively select HAND data by HUC6 basin in either the Harvey or Irma hydrologic study area, use the Harvey Archive Story Map [https://arcg.is/1rWLzL0] or the Irma Archive Story Map [http://arcg.is/PSOKH] and click on the HAND tab.  To directly browse this data for anywhere in CONUS, visit [1] or [2]. 

References: 
For a bibliography of technical papers leading to the development of HAND, see the PrimaryRefs_NWM-HAND_Jan2018.pdf file in the contents list below. 
For an explanation of the contents of the nfiedata folder at TACC, see the README-Nfiedata_HAND.pdf file in the contents list below.

[1] University of Texas Advanced Computing Center (TACC) repository for version 0.1 of 10m CONUS HAND [https://web.corral.tacc.utexas.edu/nfiedata/]
[2] Most recent HAND products at ORNL [https://cfim.ornl.gov/data/]
[3] Harvey subset of national HAND [https://cfim.ornl.gov/data/nfiedata/Harvey/]
[4] 3m HAND for state of Texas computed by ORNL [https://web.corral.tacc.utexas.edu/nfiedata/pin2flood/texas/]
DOI: 10.4211/hs.eeae0771a5564405ab5ce7cd4731c39f
title: Landlab presentation for WHW-2020

description: This resource presents basic attributes of the Landlab earth surface modeling toolkit and several examples. This resources is presented at the University of Washington Waterhackweek, September 3 2020.
DOI: 10.4211/hs.ca2e152c9fca4b2aa7c3294a388c522d
title: Hydrology scenarios that characterize plausible future drought conditions in the Colorado River Basin

description: This dataset holds streamflow sequences for each of three drought scenarios developed to characterize plausible future drought conditions in the Colorado River Basin.  These sequences were produced using the methods described in Center for Colorado River Studies Future of the Colorado River Project white paper 4 entitled “The Future Hydrology of the Colorado River Basin” by Salehabadi, Tarboton et al. (2020) and paper Salehabadi, H., D. G. Tarboton, B. H. Udall, K. G. Wheeler and J. C. Schmidt, (2022), "An Assessment of Potential Severe Droughts in the Colorado River Basin," JAWRA Journal of the American Water Resources Association, https://doi.org/10.1111/1752-1688.13061.  This study defined three drought scenarios: (1) Millennium Drought, (2) Mid 20th Century Drought and (3) Paleo Tree Ring Severe Drought.  The first two were defined using the US Bureau of Reclamation Natural flows from 2000-2018 and 1953-1977 respectively.  The last was defined using the years 1576-1600 from the Meko et al., 2017 tree ring reconstruction of streamflow at Lees Ferry. 100 streamflow traces, each 42 years long were produced for each scenario by resampling years with replacement.  Resampling from identified past drought scenarios, provides test droughts based on past flows that are more severe, due to the variety in the sampling, than any past droughts that have actually occurred.  They are nevertheless plausible, since they are derived from past records.  We used a nonparametric resampling approach referred to as “Water Year Block Disaggregation” to split the simulated annual flow at Lees Ferry into monthly flow at each of the 29 Colorado River Simulation System (CRSS) natural inflow sites.  For the first two scenarios where there are historic natural flows at the 29 CRSS sites, this selects the entire water year block of monthly flows across sites for the corresponding drought year.  For the paleo scenario, where there are not flows at each of the sites, the historic natural flow year with annual flow at Lees Ferry closest to the paleo flow is selected, and then flows across the sites and months adjusted by the ratio of paleo flow to closest historic flow.
DOI: 10.4211/hs.cd8bc1c38b254031854b8b8aaee08a05
title: Carbon Dioxide Production In Bedrock

description: Dataset required to replicate analysis in the manuscript "Carbon Dioxide Production in Bedrock beneath Soils Substantially Contributes to Forest Carbon Cycling". Here we provide (1) subsurface carbon dioxide and oxygen concentrations for the study duration collected from a bedrock vadose zone, (2) subsurface temperature for the dates of sampling, (3) relative rock moisture for the dates of analysis, (4) calculated diffusion coefficients used to calculate carbon dioxide flux from the weathered bedrock and (4) soil efflux measurements. Measurements are made at discrete intervals throughout a bedrock vadose zone using a Vadose Zone monitoring System (VMS). The bedrock of the study site is a marine turbidite that is part of the Coastal Belt of the Franciscan Complex. The study site is characterized by a steep hillslope, a Mediterranean climate that is seasonally dry, and a mixed canopy forest.
DOI: 10.4211/hs.b0900dfe949f4086a28e3c63f1112917
title: Data for "Models for Predicting Water Retention in Pyrogenic Carbon (Biochar) and Biochar-Amended Soil at Low Water Contents"

description: Data for "Models for Predicting Water Retention in Pyrogenic Carbon (Biochar) and Biochar-Amended Soil at Low Water Contents", submitted to Water Resources Research (2020).

The dry end of the soil water retention curve (WRC) plays an important role in various hydrologic, solute transport, plant, and microbial processes. Despite increasing application of biochar as a soil amendment, knowledge about water retention in biochars and biochar-amended soils under dry conditions is lacking. Mechanistic models are presented to predict the WRC for biochars and biochar-amended soils at matric potential (ψ) < ~-1 MPa. For biochars, the amount of water retained is linked to biochar surficial oxygen content and pore volume and surface area distributions. The WRC for soils at dry conditions is predicted using specific surface area. The WRC model for biochar-amended soils is the sum of the contributions of models for biochar and soil. The model’s utility was examined for three natural soils and a uniform sand, a wood-based biochar, and ten different combinations of these soils and biochar. The accuracy of the model for biochars was further tested for six other pyrogenic carbonaceous materials (PCMs). The models agreed well with experimental data: for the biochar and PCMs, soils, and biochar-amended soils the root mean square error normalized to the range of water content was almost always < 10%. The line of best fit for predicted versus measured gravimetric water content at permanent wilting point had slope of 0.935 ± 0.013 and a coefficient of determination of 0.997. The applicability of these models for different biochars, soils, and their mixtures is discussed.
DOI: 10.4211/hs.33964cb1f5804ec6ad3d5039063b7314
title: Summer Chlorophyll-a and Associated Stream Discharge Metrics for North Temperate Lakes

description: This resource includes long-term data for mean summer chlorophyll-a in 41 North temperate lakes, and winter/spring discharge metrics for associated gauged streams. Discharge metrics include center of mass of winter/spring discharge (day of year between January 1-May 31 when 50% of cumulative stream flow has been discharged), cumulative discharge magnitude (total discharge), and inter-quartile distance (number of days between when 25% and 75% of cumulative winter/spring discharge was delivered).
DOI: 10.4211/hs.1a9b93a9effd4cd9a376839726d00147
title: Station Data

description: The file contains some station data used in a UCSB project for mapping station locations.
DOI: 10.4211/hs.ca63dc88c9e74e32bd0d9ab0334f0070
title: Tutuila Water budget model repository copy, v0 preprint

description: All input output and model code for the Tutuila SWB2 water budget model. This is version 0.0, compiled for release of a preprint. This version can also be accessed at Zenodo: https://doi.org/10.5281/zenodo.3466114, and the working (dynamic) repository can be accessed at https://github.com/cshuler/Tutuila-SWB-Scenarios.  This work was funded by the Pacific RISA and Ike Wai projects located at the East West Center and UH Manoa.
DOI: 10.4211/hs.0b6197aa52fe44a6b1eef0531852580c
title: Tutuila net infiltration base case

description: Tutuila water budget model recharge coverage for present day scenario 50m cell size
DOI: 10.4211/hs.bbe8dffacb07458783b2e6924aa615bb
title: Duration-Severity and Cumulative Deficit Analyses for Colorado River Streamflow at Lees Ferry

description: This dataset holds scripts for Duration-Severity and Cumulative Deficit analyses developed to examine the severity of sustained droughts that have impact on storage and water supply in the Colorado River Basin. These analyses were performed using the methods described in Salehabadi, Tarboton et al. (2022; 2020). These studies analyzed the US Bureau of Reclamation Natural flow and Tree Ring Reconstructed flow from Meko et.al., 2017, both at Lees Ferry, using the Duration-Severity and Cumulative Deficit plots, which show the mean flow and cumulative magnitude of departure from average conditions, or “deficit”, for different durations. These plots presented by Salehabadi, Tarboton et al. (2020; 2022) characterize the severity of past droughts that have occurred in the Colorado River Basin. Based on examination of these plots, this study defined three drought scenarios: (1) Millennium Drought, (2) Mid-20th Century Drought, and (3) Paleo Tree Ring Drought. The first two were defined using the US Bureau of Reclamation Natural flows from 2000-2018 and 1953-1977 respectively. The last was defined using the years 1576-1600 from the Meko et al., 2017 tree ring reconstruction of streamflow at Lees Ferry.

- Salehabadi, H., D. G. Tarboton, B. H. Udall, K. G. Wheeler and J. C. Schmidt, (2022), "An Assessment of Potential Severe Droughts in the Colorado River Basin," JAWRA Journal of the American Water Resources Association, https://doi.org/10.1111/1752-1688.13061.
- Salehabadi, H., D. G. Tarboton, E. Kuhn, B. Udall, K. G. Wheeler, D. E. Rosenberg, S. A. Goeking and J. C. Schmidt, (2020), "The Future Hydrology of the Colorado River Basin," White Paper 4, Future of the Colorado River Project, Center for Colorado River Studies, Utah State University, 71 p., https://qcnr.usu.edu/coloradoriver/files/WhitePaper4.pdf.
DOI: 10.4211/hs.995471a9ec6a4c05a4459e0321e2f2a5
title: GEOGloWS ECMWF Streamflow Delineation Subset - FailHydroviewer

description: DEM delineated catchments and drainage line shapefiles subset from the GEOGloWS ECMWF Streamflow Model
DOI: 10.4211/hs.6d351874f16947609eab585a81c3c60d
title: Data Collection to Supplement the Future Hydrology of the Colorado River Basin Study

description: This collection holds the data and analysis scripts for Salehabadi, Tarboton et al. (2022; 2020). These studies examined historical natural flow, tree-ring flow reconstruction, and projected streamflow from climate change models to generate plausible severe drought scenarios to consider during planning in the Colorado River Basin.  This collection has been developed to provide access to and preserve the data used in these studies, in the interests of transparency and reproducibility of this work.

- Salehabadi, H., D. G. Tarboton, B. H. Udall, K. G. Wheeler and J. C. Schmidt, (2022), "An Assessment of Potential Severe Droughts in the Colorado River Basin," JAWRA Journal of the American Water Resources Association, https://doi.org/10.1111/1752-1688.13061.
- Salehabadi, H., D. G. Tarboton, E. Kuhn, B. Udall, K. G. Wheeler, D. E. Rosenberg, S. A. Goeking and J. C. Schmidt, (2020), "The Future Hydrology of the Colorado River Basin," White Paper 4, Future of the Colorado River Project, Center for Colorado River Studies, Utah State University, 71 p., https://qcnr.usu.edu/coloradoriver/files/WhitePaper4.pdf.
DOI: 10.4211/hs.023ceae766274f26a14206cc487b5281
title: Water Quality Impacts of Agriculture in American Samoa

description: A review of existing water quality studies and data as they relate to agricultural impacts on coastal and inland watersChristopher K. Shuler* and Michael Mezzacapo*Corresponding author: cshuler@hawaii.edu
DOI: 10.4211/hs.734f377f1ed641ab9de5ea34d43d340c
title: Water Quality Impacts of Fertilizers in American Samoa

description: A review of existing water quality studies and data that show how nutrients from sources including fertilizers may impact coastal and inland watersChristopher K. Shuler* and Michael Mezzacapo*Corresponding author: cshuler@hawaii.edu
DOI: 10.4211/hs.51b3933c4987427e94e51e3339237755
title: Low land Selke Stream and adjacent riparian aquifer high-frequency dataset, central Germany

description: Measurements and data were collected in the lowland area of the Selke Stream and its ajacent riparian aquifer, Central Germany.
DOI: 10.4211/hs.dcbd27b20cee4ebcb92436acb94fa6c3
title: An R code for event analysis of concentration-discharge relationships and hysteresis

description: This R code uses joint time series of concentration and discharge to (1) separate discharge events and store them in a data frame (events_h) and (2) analyse C-Q relationships including hysteresis, derive metrics describing these and store them in a data frame (eve.des).
The R code is provided as TXT and as R-file.
The code is written by Qing Zhan, Rémi Dupas, Camille Minaudo and Andreas Musolff.

This code is used and further descriped in this paper:
A. Musolff, Q. Zhan, R. Dupas, C. Minaudo, J. H. Fleckenstein, M. Rode, J. Dehaspe & K. Rinke (2021)
Spatial and Temporal Variability in Concentration-Discharge Relationships at the Event Scale.
Water Resourcers Research Volume 57, Issue 10
https://doi.org/10.1029/2020WR029442
DOI: 10.4211/hs.0f0e3ee4300146f6b5becd915737f35f
title: HydroDA

description: This include the global river discharges estimated using physically-based adaptive empirical localization method.
DOI: 10.4211/hs.d872fe423d424fccbc540563f49bdc71
title: 1 - Channel length survey data

description: This directory includes channel length survey data (outlet discharge and surveyed wetted channel extent for each survey). These data were used, in conjunction with discharge data, to find the scaling factor (α) and scaling exponent (β) for the power function that relates wetted channel extent and discharge (L = αQ^β) reported in the metadata table. Resources associated with channel length include survey data, data ‘thieved’ plots, and studies that reported channel length survey data.
DOI: 10.4211/hs.f18fa737e045423ca4564ff8106a2992
title: 4 - Blueline network files

description: Analysis of the USGS’s blue line network from 7.5’ topographic maps and how these persistent and intermittent stream network length extents compared to the length-duration curves that appear in Lapides et al. (Figure 2). Resources associated with blue line analysis include calculated values for average channel length, shapefiles derived from USGS TopoView maps, a composite image of all watersheds where blue line analysis has been applied, as well as network validation images. Only watersheds located in the U.S. are included in this analysis.

Blueline networks were extracted from the TopoView maps with Safe Software's FME program.
DOI: 10.4211/hs.c0b6ebc880f54c92b1c4a633b0b85353
title: Irrigation Drivers Boosted Regression; Kansas HPA

description: These data correspond to the publication, "Influence of Irrigation Drivers Using Boosted Regression Trees: Kansas High Plains" by SE Lamb, EMK Haacker, and SJ Smidt. This study used boosted regression trees to identify the relative influence of irrigation drivers in western Kansas. This resource provides all model inputs and outputs.
DOI: 10.4211/hs.2ab10feef5d74b849563dba6b854dea8
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.cc3eb5b8f36e4e7c9bead6fa8e3a06aa
title: Data to Supplement Stream flow and Losses of the Colorado River in the Southern Colorado Plateau

description: This collection holds the supplementary data for Stream flow and Losses of the Colorado River in the Southern Colorado Plateau reported in Center for Colorado River Studies, Future of the Colorado River Project. This study analyzed the uncertainty in quantifying stream flow and losses of the Colorado River in the southern Colorado Plateau, including Lake Powell, the Grand Canyon, and Lake Mead. This collection has been developed to provide access to and preserve the data used in this study, in the interests of transparency and reproducibility of this work.
DOI: 10.4211/hs.e6a43d7fc53e4c9ea4cfdfe1a42546b6
title: Loma Blanca Fault, well tests

description: This resource contains data from a series of wells around the Loma Blanca Fault during three constant rate pumping tests. There are well location information, pressure transducer data, and pumping rate data.
DOI: 10.4211/hs.282177bd87e7426e92899058f075359a
title: Agua Salud Discharge Data

description: This resource contains 5-minute discharge data from 13 experimental catchments in Central Panama. The Agua Salud Project is managed by the Smithsonian Tropical Research Institute to facilitate research into the ecosystem benefits of various land covers in the humid tropics. The attached README.md includes a more thorough description of this dataset and site specific details. A user can export these data from the HDF archive using the included Python script or access the data directly using a variety of HDF libraries in other languages.
DOI: 10.4211/hs.269ca6fb52fd4168adf5adf19cfa610b
title: Agua Salud Rainfall Data

description: This resource contains 15-minute rainfall data from 13 experimental catchments Central Panama. The Agua Salud Project is managed by the Smithsonian Tropical Research Institute to facilitate research into the ecosystem benefits of various land covers in the humid tropics. The attached README.md includes a more thorough description of this dataset and site specific details. A user can export these data from the HDF archive using the included Python script or access the data directly using a variety of HDF libraries in other languages.