cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.4211/hs.a70e86faebe448128ecb0e208626ba4d
title: Data for "Reconstruction of sparse stream flow and concentration time-series through compressed sensing"

description: This archive includes data used in Zhang et al.'s GRL paper "Reconstruction of sparse stream flow and concentration time-series through compressed sensing", which has been published and is available at https://doi.org/10.1029/2022GL101177. There are two directories that contain 1) daily-scale streamflow and water quality data in multiple gages during 2015-2021, and 2) 15-min-scale stream flow and water quality data in one gage during 2015-2021. The variables include streamflow, temperature, specific conductance, turbidity, dissolved oxygen, nitrate concentration, and phosphorous concentration. The number of gages for different variables varies in the daily-scale data. All the data was retrieved from the USGS National Water Information System (https://waterdata.usgs.gov/nwis).
DOI: 10.4211/hs.a3c0d38322fc46ea96ecea2438b29283
title: Daneborg - Young Sound 2014

description: Sea ice is an active component of the Earth’s climate system, interacting with both the atmosphere and the ocean. However, a thorough understanding of its annual impact on exchanges of gases, with potential feedback on the climate, is still missing. Arctic sea ice is commonly covered by melt ponds during late spring and summer, with strong effects for sea ice physical and optical properties. Yet, little is known on how melt pond formation affects sea ice gas dynamics, with consequences for gas exchanges between sea ice and the atmosphere. Here we show how melt pond formation and meltwater percolation through the ice affect sea ice physical properties and sea ice gas composition with impacts on sea ice CO2 exchange with the atmosphere.
Sea ice gas composition was mainly controlled by physical processes, with most of the gas being initially in the gaseous form in the upper ice layer. As sea ice warmed up, the upper ice gas concentration decreased, suggesting a release of gas bubbles to the atmosphere. However, as melt ponds formed, the ice surface became strongly depleted in gases. Due to the melt ponds development, meltwater percolated through the ice thickness resulting in the formation of an underwater ice layer also depleted in gases. Sea ice, including brine, slush, and melt ponds, was undersaturated in CO2 compared to the atmosphere, supporting an uptake up to –4.26 mmol m–2 d–1 of atmospheric CO2. However, this uptake weakened in the strongly altered remaining ice surface (the 'white ice') with atmospheric uptakes averaging –0.04 mmol m–2 d–1 as melt ponds formation progressed.
DOI: 10.4211/hs.1160b46d62f1488693a4dd2447793410
title: Interbasin water transfers in the United States and Canada

description: Interbasin water transfers (IBTs) can have a significant impact on the environment, water availability, and economies within the basins importing and exporting water, as well as basins downstream of these water transfers. The lack of comprehensive data identifying and describing IBTs inhibits understanding of the role IBTs play in supplying water for society, as well as their collective hydrologic impact. We develop three connected datasets inventorying IBTs in the United States and Canada, including their features, geospatial details, and water transfer volumes. We surveyed the academic and gray literature, as well as local, state, and federal water agencies, to collect, process, and verify IBTs in Canada and the United States. Our comprehensive IBT datasets represent all known transfers of raw water that cross subregion (US) or subdrainage area (CA) boundaries, characterizing a total of 641 IBT projects.  The infrastructure-level data made available by these data products can be used to close water budgets, connect water supplies to water use, and better represent human impacts within hydrologic and ecosystem models.
DOI: 10.4211/hs.8bb8e869e2b9442989163fbaa1d616ea
title: Tapestry Beaver Pond Geochemistry

description: Major ion geochemistry and isotopes of nitrate for the Tapestry beaver pond in Atlanta, GA. Samples were collected from the surface from June 2019-March 2020 and from the hyporheic zone from June-August 2019. Logger data (DO and specific conductance at 10 minute intervals) were also collected from June-August 2019. Isotopes of nitrate (d15N and d18O) were measured for a subset of June-August 2019 surface and hyporheic samples. Data were used in the paper "Urban beaver dam shows hyporheic exchange helps mediate high nutrient groundwater and a high productivity pond"
DOI: 10.5281/zenodo.17916265
title: Cultured Scleractinian Coral Trace Element and Physiological Data

description: This dataset contains trace element concentrations, physiological measurements, sample identifiers, culture conditions, and associated environmental metadata from controlled laboratory experiments on scleractinian corals. The data include elemental analyses, temperature and seawater chemistry conditions, growth measurements, and other experimental parameters used in the associated study. The dataset is provided as a single spreadsheet file. Documentation and full metadata will be expanded upon manuscript acceptance.
DOI: 10.5281/zenodo.17916266
title: Cultured Scleractinian Coral Trace Element and Physiological Data

description: This dataset contains trace element concentrations, physiological measurements, sample identifiers, culture conditions, and associated environmental metadata from controlled laboratory experiments on scleractinian corals. The data include elemental analyses, temperature and seawater chemistry conditions, growth measurements, and other experimental parameters used in the associated study. The dataset is provided as a single spreadsheet file. Documentation and full metadata will be expanded upon manuscript acceptance.
DOI: 10.4211/hs.24a5f761bf4f41fb9b872b130d9d1a3f
title: Treasure Valley Irrigation System

description: Geospatial data of the irrigation canals in the Treasure Valley of Idaho. Hawk Stone with the Idaho DEQ used an initial irrigation canal coverage and built the remaining network using aerial imagery, discussions with the irrigation entities, and substantial field verification. To increase usability of the spatial data Taylor Tatum and Bridget Bittmann updated the named features using diversion data, additional features were added using remote sensing (World Imagery on ArcGIS Pro, https://www.arcgis.com/home/item.html?id=10df2279f9684e4a9f6a7f08febac2a9) and features were categorized into classes to more easily sort the dataset.
DOI: 10.4211/hs.d8f59a93f41d4074b61728eb46024713
title: Stable isotope measurements from the Bengal Basin

description: This resource contains stable isotope measurements from the Bengal basin (Bangladesh and West Bengal) compiled from published articles. Please refer to table S1 of Jameel et al 2022 for more information on the dataset (Replumbing the Bengal Basin: Water Isotopes Reveal a Shift in Groundwater Recharge from Rainfall towards Surface Water).

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Please contact Yusuf Jameel (yusuf8ysf@gmail.com) for any questions.
DOI: 10.4211/hs.231886df055e40f2a8186c16753f77f0
title: Monthly groundwater level in Bangladesh

description: This resource contains average monthly groundwater level from 1300 locations in Bangladesh (2000-2014). Please refer to Jameel et al 2022 for more information on the dataset (Replumbing the Bengal Basin: Water Isotopes Reveal a Shift in Groundwater Recharge from Rainfall towards Surface Water).

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Please contact Yusuf Jameel (yusuf8ysf@gmail.com) for any questions.
DOI: 10.4211/hs.0a2fcb5341bf490e89bd207b490acf5b
title: Colorado River Basin Accounts: Provoke discussion about more adaptive operations

description: The purpose of this activity is to provoke participants to discuss more adaptive Colorado River operations than existing operations that equalize reservoirs and expire in 2026. Participants use a Google Sheet to consume, save, and trade water in 6 basin accounts, protect Lake Powell and Lake Mead, sustain endangered, native fish of the Grand Canyon, and discuss. Follow the requirements and facilitation directions in the readme.md file.

CONTENTS:
1) readme.md - Requirements, facilitation directions, publications, file contents, and more.
2) Basin Accounts Tool - ColoradoRiverBasinAccounts.xlsx. Move into Google Sheets and follow Facilitation Directions (in readme.md). Or open ReadMe-Directions Worksheet.
3) Lets Start - ColoradoRiverBasinAccounts-LetsStart.pdf. Visual directions.
4) Model Guide - https://github.com/dzeke/ColoradoRiverCoding/blob/main/ModelMusings/Support/ModelGuide/ModelGuide-CombinedLakePowellLakeMead.md. Online. 
5) Manuscript - 3-LessonsRealTimeOnlineModelingToDiscussMoreAdaptableReservoirOperations.docx. Write up for publication as a journal article. Earlier cite-able version at https://digitalcommons.usu.edu/cee_facpub/3778/.
DOI: 10.4211/hs.b72e42096ff949babe95830a0d91d0bd
title: Colorado River Basin Water Accounts: Provoke discussion about more adaptive operations

description: The purpose of this activity is to provoke participants to discuss more adaptive Colorado River operations than existing operations that equalize reservoirs and expire in 2026. Participants use an interactive, online spreadsheet (Google Sheet) to consume, save, and trade water in 6 basin accounts, protect Lake Powell and Lake Mead, sustain endangered, native fish of the Grand Canyon, and discuss. Follow the requirements and facilitation directions in the readme.md file.

CONTENTS:
1) readme.md - Requirements, facilitation directions, publications, file contents, and more.
2) Basin Water Accounts Tool - ColoradoRiverBasinAccounts.xlsx. Move into Google Sheets and follow Facilitation Directions (in readme.md). Or open ReadMe-Directions Worksheet.
3) Lets Start - ColoradoRiverBasinAccounts-LetsStart.pdf. Visual directions.
4) Model Guide - https://github.com/dzeke/ColoradoRiverCoding/blob/main/ModelMusings/Support/ModelGuide/ModelGuide-CombinedLakePowellLakeMead.md. Online. 
5) Manuscript - 3-LessonsRealTimeOnlineModelingToDiscussMoreAdaptableReservoirOperations.docx. Write up for publication as a journal article. Earlier cite-able version at https://digitalcommons.usu.edu/cee_facpub/3778/.
DOI: 10.4211/hs.3fb8153dac954c8ebd006e442487cd79
title: Upper White Stream Monitoring -- Prairie Creek Reservoir

description: The headwater region of the White River is the leading contributor of nitrogen to the Gulf of Mexico across the entire Mississippi River Basin. Recent studies from Ball State University (BSU) and conservation partners, e.g., TNC, have determined that there is inadequate flow data from the region, making it difficult to calibrate hydrological models and support detailed conservation practices. As a result, BSU and TNC contracted with the Ecosystems Connections Institute (ECI), and installed gauging stations at the Prairie Creek Reservoir and immediately downstream. Instrumentation was conducted in August - September 2021 by ECI, with permission and support from the Indiana American Water. Hourly data of water level, water temperature, discharge, and turbidity is monitored since 2021.
DOI: 10.4211/hs.9462b23c5e1e46bdae6ef8abcdbed365
title: Global Distribution of Shallow Groundwater

description: Groundwater (GW) impacts water, energy, and carbon cycles by providing additional moisture to the root zone. Although the interactions of shallow GW and the terrestrial land surface are widely recognized, incorporating shallow GW into the land surface, climate, and agroecosystem models as a lower boundary condition is not yet possible due to the lack of groundwater data. 
Here, we provide global maps of the terrestrial land surface areas influenced by shallow GW at daily timesteps. We derived this data using spaceborne soil moisture observations from NASA's SMAP satellite. We used the Level-2 enhanced passive soil moisture (L2_SM_P_E) product to detect shallow GW signals. The presence of shallow GW is obtained using an ensemble machine learning model. The model is trained using results from global simulations. We published the details of our approach in a separate research paper (Soylu and Bras, 2022 - https://ieeexplore.ieee.org/document/9601254). 
Our data covers the period from mid-2015 to 2021 (a separate NetCDF file for each year) with a 9 km spatial resolution, the same as the SMAP "Equal Area Scalable Earth" (EASE) grids. 

Reference:
Soylu, M.E, and Bras, R.L. "Global Shallow Groundwater Patterns From Soil Moisture Satellite Retrievals." IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 15 (2022): 89-101
DOI: 10.4211/hs.57b5916b7e5b4bb091895416c19f0c39
title: Saneiyan et al. (2022) - On the accuracy of saturation estimation from electrical measurements of soils with high swelling clay content

description: Electrical conductivity models have been widely used to estimate water content and petrophysical properties of soils in hydrogeophysical studies. However, these models are typically only valid for soils with non-expandable matrices. Soils containing swelling clays are characterized by matrices that expand/contract upon gaining/losing water. In this laboratory study, we demonstrate that soil matrix changes affect the saturation estimation using Archie’s laws. Matrix deformation is not accounted for in Archie’s laws, which were originally introduced for clean sandstone reservoir rocks. A swelling clayey soil sample was fully saturated with a potassium chloride (KCl) solution, then left to dry evaporatively at room temperature. The resistivity of the soil, along with its weight and volumetric changes as a result of shrinkage, were measured daily during drying . Over a course of 11 days, the soil sample decreased in volume by 33%. During this time period, the porosity and saturation of the soil sample were determined as a function of time. The simultaneous evaporation and shrinkage caused a non-linear reduction in saturation with decreasing of water content over time. Application of Archie’s second law leads to erroneous predictions of resistivity if the correction for saturation changes due to shrinkage are not accounted for. Correcting for saturation using the calculated volume reduction results in a power-law relationship with higher R2 value between resistivity and saturation along with more reasonable saturation coefficients.
DOI: 10.4211/hs.eb2ae94405324fe7818e8404ad855afa
title: Colorado River Basin Water Accounts: Provoke discussion about more adaptive operations

description: The purpose of this activity is to provoke participants to discuss more adaptive Colorado River operations than existing operations that equalize reservoirs and expire in 2026. Participants use an interactive, online spreadsheet (Google Sheet) to consume, save, and trade water in 6 basin accounts, protect Lake Powell and Lake Mead, sustain endangered, native fish of the Grand Canyon, and discuss. Follow the requirements and facilitation directions in the readme.md file.

CONTENTS:
1) readme.md - Requirements, facilitation directions, publications, file contents, and more.
2) Basin Water Accounts Tool - ColoradoRiverBasinAccounts.xlsx. Move into Google Sheets and follow Facilitation Directions (in readme.md). Or open ReadMe-Directions Worksheet.
3) Lets Start - ColoradoRiverBasinAccounts-LetsStart.pdf. Visual directions.
4) Model Guide - https://github.com/dzeke/ColoradoRiverCoding/blob/main/ModelMusings/Support/ModelGuide/ModelGuide-CombinedLakePowellLakeMead.md. Online. 
5) Manuscript - 3-LessonsRealTimeModelAdaptiveReservoirOperations.docx. Write up for publication as a journal article. Earlier cite-able version at https://digitalcommons.usu.edu/cee_facpub/3778/.
DOI: 10.4211/hs.60e32ac396044582b0ef9f976d3e4a29
title: Metadata for the Rapid Forcing Retrieval (RFR) Web Tool

description: The Rapid Forcings Retrieval (RFR) tool gets the hourly Forcings in CSV and GeoTIFF formats for small and large-scale areas to drive hydrological models. The CSV is the main output for driving the dynamic hydrologic process, while the GeoTIFF is an average of the selected period. The RFR retrieves Forcings for specific United States Geological Survey (USGS) Hydrologic Units watersheds, CAMELS (Catchment Attributes and Meteorology for Large-sample Studies) basins, and points (gauged and ungauged locations). RFR relies on the North American Land Data Assimilation System (NLDAS) hosted on Google Earth Engine. NLDAS Forcings (Precipitation, Evapotranspiration, Temperature, Specific Humidity, Surface Pressure, Convective Fraction, wind, Potential Energy, Long and Shortwave Radiation) are vital model inputs for discharge prediction. Users can quickly select a specific date range and area of interest to subset Forcings which are then served into a model for streamflow predictions. RFR allows users to export specific Forcings at a time, keeping the interface clean while preventing crowding of panels. The RFR intends to support the current Forcings source for the NOAA Office of Water Prediction (OWP) and does not act as a replacement for the current source. RFR will be useful to Hydrologists, Environmental Resource Managers, and other scientists using Forcings. Currently, RFR can help support the ongoing Next Generation (NEXTGEN) Framework hydrological models testing and validations. A use case begins with (1) visualizing watershed scales, (2) digitizing specific watershed boundaries, (3) selecting a specific date range, (4) choosing forcing variables to output, and (5) exporting forcings as desired by the user. Users must note that all output datasets begin from 00:00 UTC at the start date and ends at 23:00 UTC at the entered end date.

To use RFR visit: 
Ekpetere, K. O., X. Li, J. Frame (2022). The Rapid Forcing Retrieval (RFR), HydroShare, http://www.hydroshare.org/resource/adc37a792a6144c9a1d45e05621e4230
DOI: 10.4211/hs.c5a9a2fe41164ab092662526bbc1cbe3
title: Data for "The role of inflow and infiltration (I/I) in urban water balances and streamflow regimes: A hydrograph analysis along the sewershed-watershed continuum"

description: This archive includes data used in Zhang et al.'s Water Resources Research (WRR) paper "The role of inflow and infiltration (I/I) in urban water balances and streamflow regimes: A hydrograph analysis along the sewershed-watershed continuum", which is under review currently. There are three directories that contain 1) hourly-scale precipitation data at one rain gauge in Milwaukee, WI, 2) hourly-scale sanitary sewer flow data in 17 sewersheds in Milwaukee, WI, and 3) daily-scale streamflow data in 18 watersheds near Milwaukee, WI. The sanitary sewer flow data was retrieved from Metropolitan Milwaukee Sewer District (MMSD). The streamflow data was retrieved from the USGS National Water Information System (https://waterdata.usgs.gov/nwis).
DOI: 10.4211/hs.a4590c87d0e4454a9a3de60b482d306a
title: HYDRUS Model Data From 2022 Finkenbiner Study On Soil Isotope Separation

description: Brief Summary:
Soil physics simulations showed water isotope ratios can differ among drainage, mobile and immobile storages due to transport processes alone, but effects were smaller than field data implying unrepresented processes underly ecohydrologic separation.

Manuscript Abstract:
Field measurements of hydrologic tracers indicate varying magnitudes of geochemical separation between subsurface pore waters. The potential for conventional soil physics alone to explain isotopic differences between preferential flow and tightly-bound water remains unclear. Here, we explored physical drivers of isotopic separations using 650 different model configurations of soil, climate, and mobile/immobile soil-water domain characteristics, without confounding fractionation or plant uptake effects. We find simulations with coarser soils and less precipitation led to reduced separation between pore spaces and drainage. Amplified separations were found with larger immobile domains and, to a lesser extent, higher mobile-immobile transfer rates. Nonetheless, isotopic separations remained small (<4‰ for d2H) across simulations, indicating that contrasting transport dynamics generate limited geochemical differences. Therefore, conventional soil physics alone are unlikely to explain large ecohydrological separations observed elsewhere, and further efforts aimed at reducing methodological artifacts, refining understanding of fractionation processes, and investigating new physiochemical mechanisms are needed.

Dataset Information:
This dataset contains HYDRUS model output used to create four figures in a study by C. Finkenbiner of the ability of soil physics models to represent isotopic separation. Within the four provided folders are model output files with filenames describing their contents. Simulations were ran for 300 days, with the last 100 days used for analysis provided here. Output files are csv files that contain H2 isotope ratios, soil moisture, or soil drainage values across 10 simulations, denoted pv1 - pv10. Simulations were configured to have high, low or zero fractions of immobile soil pore space, denoted as Hf, Lf, and 0f respectively in filenames. Simulations with immobile pore spaces were also configured to have high and low transfer coefficients, denoted as Hw and Lw in file names. For more information please see Finkenbiner et. al. 2022 in Nature Communications (DOI: 10.1038/s41467-022-34215-7) or contact Stephen Good at Oregon State University.
DOI: 10.4211/hs.ccb30f98437d445cb4319bfd7db51142
title: DWCZ - CO - Gordon Gulch-Ecohydrologic Dynamics-EBurns

description: NOTE: This resource represents the data as presented in Ethan Burns’s thesis, working title: “Ecohydrologic Dynamics of Rock Moisture in a Snow-Dominated Montane Catchment of the Colorado Front Range.”

Gordon Gulch, located within the Boulder Creek Watershed, exhibits strong aspect-driven contrasts in precipitation, vegetation structure, and weathering depths. Direct measurements of rock moisture were collected from boreholes spanning both north- and south-facing slopes, accompanied by continuous monitoring of precipitation, transpiration, soil moisture, leaf-water potentials, and groundwater levels.

This resource includes data grouped into three primary collections:

DWCZ-GG-Subset

Groundwater wells 1 and 6 (subset from continuous streaming data)

South-facing meteorological tower measurements

DWCZ-GG-Plot-Data (All plots are circular, centered on a borehole, and have an 8-m radius)

Plot species composition

Daily sap flow

Isotope ratios

Predawn leaf-water potentials

NMR and neutron-probe surveys

Soil matric potentials

DWCZ-GG2-DBH-Sapwood-Depth

Derived from the following dataset:
Adams, H. R., H. R. Barnard, and A. K. Loomis (2022). BCCZO — Tree Growth & Physiology — Gordon Gulch — (2011–2012). HydroShare. https://www.hydroshare.org/resource/8a34ef6c6bc14045851f042af9a7d142

Data from approximately 70 plots were used to develop an equation for scaling sap-flow measurements.

Please see the formal metadata for detailed site locations.