cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.4211/hs.0daa4ade63ec4ff3a3aec70ddad0a93b
title: Agua Salud Hydrometric Data

description: This resource collections contains discharge and rainfall 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. Each resource contains a README.md with 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 scripts or access the data directly using a variety of HDF libraries in other languages.
DOI: 10.4211/hs.23fc96f7517247babb83f7d5418e3023
title: Comprehensive network hydraulic scaling datasets and associated resources (discharge, channel length surveys, watershed metadata, blueline network shapefiles and reference images)

description: Wetted channel networks expand and contract throughout the year. Direct observation of this process can be made by multiple intensive surveys of a catchment throughout the year. Godsey et al. (2014) suggest that the extent of the wetted channel network scales with discharge at the outlet by a power law (L = αQ^β). Using this relationship, we developed a framework to assess variability in the extent of wetted channels as a function of β and the variability in streamflow Q (Lapides et al., In Review, https://eartharxiv.org/mc6np/). This resource constitutes the empirical basis for that study, a comprehensive dataset compiled from literature including: 

1 - Channel length survey data (csv files)
2 - Discharge time series data (csv files)
3 - Watershed metadata (csv files)
4 - Blueline network files (pdf, png, and shp files)

This collection is comprehensive in that it includes all watersheds where at least three channel length surveys have been conducted and where a corresponding discharge time series dataset is available. The requirement of a minimum of three channel length surveys stems from the data requirements to find α and β for the power law relationship between discharge and stream network length for headwater catchments (Godsey et al., 2014). At present, data for 14 watersheds worldwide are included in the collection along with reference maps, watershed metadata, shapefiles and a composite of USGS blueline stream network imagery with terrain for watersheds of interest in the United States. Notably, this collection brings data from a variety of earth science agencies worldwide into a common, clearly labelled format. 

Methods used to process the datasets or create other assets in this collection are included in the abstracts or additional metadata for each of the four resources listed above. Python code used to process data, compute variables, and create graphics is available at: https://zenodo.org/record/4057320
DOI: 10.4211/hs.1182147d58724a2a84dc3a382636d35e
title: 2 - Discharge time series data

description: This directory includes discharge time series data (q) for 14 headwater stream networks, produced in standard format and common units of mm/day for straightforward hydrograph inter-comparison.
DOI: 10.15468/dl.hr4s9d
title: Occurrence Download

description: A dataset containing 198 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (China, Russian Federation, Korea (Democratic People’s Republic of))",
 "TaxonKey is Rhamnus diamantiaca"
 ]
}

 The dataset includes 198 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0049949-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.4211/hs.f54ac2f7633d443eb6982cf3dd48c3d8
title: 3 - Watershed metadata

description: Watershed metadata was collected for 14 watersheds from studies where channel length survey data was presented. For variables not found in the publications associated with the channel length surveys, additional sources are referenced. These sources are included in the notes column. Variables without sources were calculated, as described in the Additional Metadata section below. Examples of calculated values include, q_avg_mm_per_day, beta, and l_avg_km. 

For Python packages, modules, and functions used to find calculated values, please see the associated GitHub repository: https://zenodo.org/record/4057320
DOI: 10.4211/hs.5df47ddb14f242429edfc24905952930
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.032c377f981c4ce9b6e8ba75778507dd
title: Kona Precipitation Chemistry Data for All Sampling Trips

description: Precipitation chemistry data for all sampling trips in Kona, West Hawaiʻi. Data were collected between August 2017 and November 2019. There are twenty sites between central and west Hawaiʻi Island. The data include pH, precipitation (mm), fluoride (uM), chloride (uM), bromide (uM), sulfate (uM), sodium (uM), ammonium (uM), potassium (uM), magnesium (uM), calcium (uM), d18O (pmil) and dD (pmil). Each sampling trip is arranged by site elevation. Latitude and Longitude are reported in decimal degrees to the second decimal place (~1 km resolution). Ions and isotopes are reported to the first decimal place. Blank cells for ions represent non-detect, double dashed lines (--) represent samples that were not analyzed.
DOI: 10.4211/hs.52c1794108d94e00af3ea43badf14965
title: Groundwater flow and moisture dynamics in the swash zone: effects of heterogeneous hydraulic conductivity and capillarity

description: A density-dependent, variably saturated groundwater flow and solute transport model was used to investigate the influence of swash motions on subsurface flow and moisture dynamics in beach aquifers with heterogeneous distributions of hydraulic conductivity (K) and capillarity. The numerical simulations were performed within a Monte Carlo framework using field measurements conducted in the swash zone of a sandy beach. Our results show that heterogeneous capillarity causes spatially variable capillary rise above the groundwater table. In response to swash motions, heterogeneity creates capillary barriers that result in pockets of elevated moisture content beneath the swash zone. These moisture hotspots persist within the unsaturated zone even at ebb tide when the swash motions recede seaward. Heterogeneous capillarity also results in highly tortuous preferential flow paths and alters the flow rates from the sand surface to the water table. Heterogeneous K greatly enhances the seawater infiltration into the swash zone and modulates its spatial distribution along the beach surface. Due to heterogeneous K and capillarity, complex mixing patterns emerge. Both strain-dominated and vorticity-dominated flow regions develop and dissipate as tides and waves move across the beach surface. Complex mixing patterns of seawater percolating from the swash zone surface to the water table, with localized areas of high and low mixing intensities, are further demonstrated by analysis of dilution index. Our findings reveal the influence of geologic heterogeneity on swash zone moisture and flow dynamics, which may have important implications for sediment transport and chemical processing in beach aquifers.
DOI: 10.4211/hs.597f47895c8e453aab0c3bf6558aeb41
title: Groundwater flow and moisture dynamics in the swash zone: effects of heterogeneous hydraulic conductivity and capillarity

description: A density-dependent, variably saturated groundwater flow and solute transport model was used to investigate the influence of swash motions on subsurface flow and moisture dynamics in beach aquifers with heterogeneous distributions of hydraulic conductivity (K) and capillarity. The numerical simulations were performed within a Monte Carlo framework using field measurements conducted in the swash zone of a sandy beach. Our results show that heterogeneous capillarity causes spatially variable capillary rise above the groundwater table. In response to swash motions, heterogeneity creates capillary barriers that result in pockets of elevated moisture content beneath the swash zone. These moisture hotspots persist within the unsaturated zone even at ebb tide when the swash motions recede seaward. Heterogeneous capillarity also results in highly tortuous preferential flow paths and alters the flow rates from the sand surface to the water table. Heterogeneous K greatly enhances the seawater infiltration into the swash zone and modulates its spatial distribution along the beach surface. Due to heterogeneous K and capillarity, complex mixing patterns emerge. Both strain-dominated and vorticity-dominated flow regions develop and dissipate as tides and waves move across the beach surface. Complex mixing patterns of seawater percolating from the swash zone surface to the water table, with localized areas of high and low mixing intensities, are further demonstrated by analysis of dilution index. Our findings reveal the influence of geologic heterogeneity on swash zone moisture and flow dynamics, which may have important implications for sediment transport and chemical processing in beach aquifers.
DOI: 10.4211/hs.231077958d514611b767f926a3be965c
title: Groundwater flow and moisture dynamics in the swash zone: effects of heterogeneous hydraulic conductivity and capillarity

description: A density-dependent, variably saturated groundwater flow and solute transport model was used to investigate the influence of swash motions on subsurface flow and moisture dynamics in beach aquifers with heterogeneous distributions of hydraulic conductivity (K) and capillarity. The numerical simulations were performed within a Monte Carlo framework using field measurements conducted in the swash zone of a sandy beach. Our results show that heterogeneous capillarity causes spatially variable capillary rise above the groundwater table. In response to swash motions, heterogeneity creates capillary barriers that result in pockets of elevated moisture content beneath the swash zone. These moisture hotspots persist within the unsaturated zone even at ebb tide when the swash motions recede seaward. Heterogeneous capillarity also results in highly tortuous preferential flow paths and alters the flow rates from the sand surface to the water table. Heterogeneous K greatly enhances the seawater infiltration into the swash zone and modulates its spatial distribution along the beach surface. Due to heterogeneous K and capillarity, complex mixing patterns emerge. Both strain-dominated and vorticity-dominated flow regions develop and dissipate as tides and waves move across the beach surface. Complex mixing patterns of seawater percolating from the swash zone surface to the water table, with localized areas of high and low mixing intensities, are further demonstrated by analysis of dilution index. Our findings reveal the influence of geologic heterogeneity on swash zone moisture and flow dynamics, which may have important implications for sediment transport and chemical processing in beach aquifers.
DOI: 10.4211/hs.7f9ba6e8bfca4bf1b9395667de0ff0e5
title: Groundwater flow and moisture dynamics in the swash zone: effects of heterogeneous hydraulic conductivity and capillarity

description: A density-dependent, variably saturated groundwater flow and solute transport model was used to investigate the influence of swash motions on subsurface flow and moisture dynamics in beach aquifers with heterogeneous distributions of hydraulic conductivity (K) and capillarity. The numerical simulations were performed within a Monte Carlo framework using field measurements conducted in the swash zone of a sandy beach. Our results show that heterogeneous capillarity causes spatially variable capillary rise above the groundwater table. In response to swash motions, heterogeneity creates capillary barriers that result in pockets of elevated moisture content beneath the swash zone. These moisture hotspots persist within the unsaturated zone even at ebb tide when the swash motions recede seaward. Heterogeneous capillarity also results in highly tortuous preferential flow paths and alters the flow rates from the sand surface to the water table. Heterogeneous K greatly enhances the seawater infiltration into the swash zone and modulates its spatial distribution along the beach surface. Due to heterogeneous K and capillarity, complex mixing patterns emerge. Both strain-dominated and vorticity-dominated flow regions develop and dissipate as tides and waves move across the beach surface. Complex mixing patterns of seawater percolating from the swash zone surface to the water table, with localized areas of high and low mixing intensities, are further demonstrated by analysis of dilution index. Our findings reveal the influence of geologic heterogeneity on swash zone moisture and flow dynamics, which may have important implications for sediment transport and chemical processing in beach aquifers.
DOI: 10.4211/hs.d9abc83ec03c4100b98ae1195245a3ea
title: 3 - Watershed metadata

description: Watershed metadata was collected for 14 watersheds from studies where channel length survey data was presented. For variables not found in the publications associated with the channel length surveys, additional sources are referenced. These sources are included in the notes column. Variables without sources were calculated, as described in the Additional Metadata section below. Examples of calculated values include, q_avg_mm_per_day, beta, and l_avg_km. 

For Python packages, modules, and functions used to find calculated values, please see the associated GitHub repository: https://zenodo.org/record/4057320
DOI: 10.4211/hs.66c2d423c6bd4004829c157a55ce0773
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 from studies where channel length survey data was reported in plot format.
DOI: 10.4211/hs.9249d4e236aa47008ada9509311b43ba
title: 3 - Watershed metadata

description: Watershed metadata was collected for 14 watersheds from studies where channel length survey data was presented. For variables not found in the publications associated with the channel length surveys, additional sources are referenced. These sources are included in the notes column. Variables without sources were calculated, as described in the Additional Metadata section below. Examples of calculated values include, q_avg_mm_per_day, beta, and l_avg_km. 

For Python packages, modules, and functions used to find calculated values, please see the associated GitHub repository: https://zenodo.org/record/4057320
DOI: 10.4211/hs.ad933d662a7449138c0f22e64c7ec481
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 from studies where channel length survey data was reported in plot format.
DOI: 10.4211/hs.10e1281196d34550b42501f611e268f9
title: Modelling Data for Predicting Cyanobacteria Blooms - JPIWater Project BLOOWATER

description: The European Union Water JPI (http://www.waterjpi.eu/) has funded the project BLOOWATER (Supporting tools for the integrated management of drinking water reservoirs contaminated by Cyanobacteria and cyanotoxins (https://www.bloowater.eu/) The main objective of the BLOOWATER project is to produce information resources for Public water supply systems to prepare and respond to the risk of the cyanotoxins in drinking water. Practically the project proposes innovative technological solutions aim to develop a methodological approach based on the integration of monitoring techniques and treatment of water affected by toxic blooms. BLOOWATER aims to create forecasting models and systems of surveillance and early warning of toxic blooms to perform immediate actions such as opportune potabilization treatment. The project intends to develop and implement methods to treat cyanobacteria laden water with more efficient processes, to define diagnostic protocols through the use of innovative techniques for water monitoring, and create forecasting models and systems of surveillance and early warning of toxic blooms.  Combined these actions will allow water treatment fallibilities to optimally adjust treatment plant operations in response to the onset of cyanobacteria blooms.

To develop cyanobacteria forecasts two different but complimentary methods are being tested

1) The use of Process based models, in this case the combination of the GOTM Hydrodynamic model and the SELMA biogeochemical model coupled using the Framework for Biogechemical Models (FABM) SELMA simulates the biomass of a generic cyanobacteria group and we will test if this can be of useful predictor of cyanobacteria blooms

2) Use of machine learning based models that will be forced and trained on the same data sets used to simulate and verify the process based models, but which may also take as imput data generated by the process based models.

Here we provide an archive of forcing data and measured lake chemistry and phytoplankton data that will be used by BLOOWATER to develop and test model forecasts using both process based modeling and machine learning approaches.

Data are provided for Lake Erken Sweden a primary case study site in the BLOOWATER project


All data files are formatted for use with the GOTM version 5.3 (https://gotm.net/) and SELMA models that are coupled by the frame work for biogeochemical models (https://github.com/fabm-model). The lake model was calibrated using the Parallel Sensitivity Analysis and Calibration tool ParSAC (https://bolding-bruggeman.com/portfolio/parsac/) The measured data used for calibration in the format used by ParSAC are also included in this archive

Additional data and machine learning workflows developed by the BLOOWATER project are available at  https://github.com/Shuqi-Lin/Algal-bloom-prediction-machine-learning
DOI: 10.4211/hs.d3527aa6f3364b9e85c9a3aa7a14593c
title: Groundwater flow and moisture dynamics in the swash zone: effects of heterogeneous hydraulic conductivity and capillarity

description: A density-dependent, variably saturated groundwater flow and solute transport model was used to investigate the influence of swash motions on subsurface flow and moisture dynamics in beach aquifers with heterogeneous distributions of hydraulic conductivity (K) and capillarity. The numerical simulations were performed within a Monte Carlo framework using field measurements conducted in the swash zone of a sandy beach. Our results show that heterogeneous capillarity causes spatially variable capillary rise above the groundwater table. In response to swash motions, heterogeneity creates capillary barriers that result in pockets of elevated moisture content beneath the swash zone. These moisture hotspots persist within the unsaturated zone even at ebb tide when the swash motions recede seaward. Heterogeneous capillarity also results in highly tortuous preferential flow paths and alters the flow rates from the sand surface to the water table. Heterogeneous K greatly enhances the seawater infiltration into the swash zone and modulates its spatial distribution along the beach surface. Due to heterogeneous K and capillarity, complex mixing patterns emerge. Both strain-dominated and vorticity-dominated flow regions develop and dissipate as tides and waves move across the beach surface. Complex mixing patterns of seawater percolating from the swash zone surface to the water table, with localized areas of high and low mixing intensities, are further demonstrated by analysis of dilution index. Our findings reveal the influence of geologic heterogeneity on swash zone moisture and flow dynamics, which may have important implications for sediment transport and chemical processing in beach aquifers.
DOI: 10.4211/hs.a4a04303a4dc4b108ccd9420792ab2e9
title: Groundwater flow and moisture dynamics in the swash zone: effects of heterogeneous hydraulic conductivity and capillarity

description: A density-dependent, variably saturated groundwater flow and solute transport model was used to investigate the influence of swash motions on subsurface flow and moisture dynamics in beach aquifers with heterogeneous distributions of hydraulic conductivity (K) and capillarity. The numerical simulations were performed within a Monte Carlo framework using field measurements conducted in the swash zone of a sandy beach. Our results show that heterogeneous capillarity causes spatially variable capillary rise above the groundwater table. In response to swash motions, heterogeneity creates capillary barriers that result in pockets of elevated moisture content beneath the swash zone. These moisture hotspots persist within the unsaturated zone even at ebb tide when the swash motions recede seaward. Heterogeneous capillarity also results in highly tortuous preferential flow paths and alters the flow rates from the sand surface to the water table. Heterogeneous K greatly enhances the seawater infiltration into the swash zone and modulates its spatial distribution along the beach surface. Due to heterogeneous K and capillarity, complex mixing patterns emerge. Both strain-dominated and vorticity-dominated flow regions develop and dissipate as tides and waves move across the beach surface. Complex mixing patterns of seawater percolating from the swash zone surface to the water table, with localized areas of high and low mixing intensities, are further demonstrated by analysis of dilution index. Our findings reveal the influence of geologic heterogeneity on swash zone moisture and flow dynamics, which may have important implications for sediment transport and chemical processing in beach aquifers.
DOI: 10.4211/hs.3d4976bf6eb84dfbbe11446ab0e31a0a
title: Notebook for retrieval of National Water Model Retrospective run results at SNOTEL sites

description: This notebook has been developed to download specific variables at specific sites from National Water Model (NWM) Retrospective run results in Google Cloud. It has been set up to retrieve data at SNOTEL sites. An input file SNOTEL_indices_at_NWM.csv maps from SNOTEL site identifiers to NWM X and Y indices (Xindex and Yindex).  A shell script (gget.sh) uses Google utilities (gsutil) to retrieve NWM grid file results for a fixed (limited) block of time. A python function then reads a set of designated variables from a set of designated sites from NWM grid files into CSV files for further analysis.

The input file SNOTEL_indices_at_NWM.csv was generated using Garousi-Nejad and Tarboton (2022), https://www.hydroshare.org/resource/7839e3f3b4f54940bd3591b24803cacf/.