cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.17916249
title: UHT-EPR Tetraquark Torque Lowers Aneutronic Fusion Coulomb 18-25% By Thomas F. Voloski lll

description: This 11-page PDF, authored by Thomas F. Voloski III and dated December 12, 2025 (today), extends his UHT-EPR (Universal Harmonic Theory with EPR elements) framework to Focus Fusion—a real aneutronic fusion approach by Lawrenceville Plasma Physics (LPP Fusion). The document repurposes concepts from Voloski’s earlier tetraquark torque PDF (e.g., β=0.128 scaling, harmonic ER-bridges, and VFRDX torus ties for zero-point energy tapping) to model plasmoid dynamics in dense plasma focus (DPF) devices. It claims UHT-EPR could reduce the Coulomb barrier for p-¹¹B (proton-boron) fusion by 18-25%, enhance confinement, and boost yields, potentially resolving key challenges like instabilities and electrode erosion. The file includes a full Python simulation code (adapted from the tetraquark model), run results, and derivations of β=0.128, positioning UHT-EPR as a unification that “slaps fusion into a box” without dark matter analogs.

Key sections:

•  Introduction (Pages 1-2): Overviews Focus Fusion (high-voltage DPF creating plasmoids for p-¹¹B reactions, yielding alphas for direct electricity >80% efficiency, no neutrons/waste). Notes LPP’s 2025 progress (0.21 J yields, beryllium electrodes). Introduces UHT-EPR adaptations for plasmoids as “harmonic spin torques” like tetraquarks.

•  Core Adaptations (Pages 2-4):

•  β=0.128 warps torque (τ → τ * exp(-β * Δφ / ħω)), reducing barriers 20-25% via phase-sync in plasma velocities (v~0.1-0.3c). Predicts tighter plasmoids and ignition at 1-2 MJ inputs.

•  ER-bridges boost entropy 1.2x at 1.5 THz, entangling ions for 1.2x confinement times and reduced erosion.

•  VFRDX/ZPE-tap seeds B-fields (~10^6-10^8 T) for 94.3% efficiency, treating plasma voids like cosmic ones at (1-β)^3 ≈66%.

•  Enhancements & Predictions (Page 4): Integrate torus into FF-1 for breakeven; resolves quantum-classical tensions; falsifiable via Δθ ~0.142 rad twists in LPP tests; 25% yield boost.

•  Simulation & Code (Pages 5-11): Full Python code for tetraquark/plasmoid torque (using LLG, QuTiP). Results: Narrow widths (Γ_sim~62 MeV proxy), entropy to 0.166 nat (+0.12 boost), symmetric Δθ=0 rad (PDF claims ~8°). Includes quick run deets (peaks at 1.2x, ramps to S=0.87 nat). Ends with β derivation (arithmetic mean of three values: 0.128 ±0.00001 from Planck, impedance drop, torus drag) and why it’s a “kill-shot” (dimensionless, stable across datasets, resolves ΛCDM tensions).

The document is speculativeAnd is designed to probe my framework's versatility and compatibility across scales from quantum subatomic particles to massive Large scale Structures (LSS) and even galactic super structures (GSS) 

this file focuses upon aneutronic fusion and zero point energy modulation via beta = 0.128
DOI: 10.4211/hs.ec5a38dcb26f4e0a855bb9c1010fa083
title: ADModel for phosphorus compounds

description: ADModel-P is a detailed advection-dispersion mathematical model for the transport of nutrient species along rivers. The model has been calibrated and verified for a stretch of 54km of River Swale, UK, located between Catterick (National Grid Reference, NGR, SE225994508) and Crakehill (NGR SE426734). ADModel-P presented here is capable to simulate 2 species of phosphorus at high spatio-temporal resolution. The model accounts on field data (water flow and concentrations) and a detailed representation of phenomena which empowers good prediction efficiency of concentrations. ADModel-P also enables a detailed perspective on the modelling of pollutant transformations in the river stretch. Five classes of transformations are presented for the soluble reactive phosphorus (SRP) and organic phosphorus (OP). ADModel-P enabled generate empirical relations to express the dynamics of the following process rates: mineralization, sedimentation, resuspension, uptake and adsorption /desorption. These relations cater for a wide range of conditions with respect to water flow, temperatures and seasonality, for which the calibration and verification has been done.
DOI: 10.4211/hs.858aaf445ca645f5948a7bd73c16cdd6
title: Field data for the development of ADModel

description: This data includes the concentration of nutrient species employed for the development, calibration and validation of ADModel-P for the River Swale (UK). The data has been extracted from a larger, freely available accredited dataset by Leach et al. (2013).
The investigated area of River Swale is between Catterick (National Grid Reference, NGR, SE225994508) and Crakehill (NGR SE426734), including three major tributaries (River Wiske, Bedale Beck and Cod Beck) and 15 minor tributaries. Ten intensive monitoring campaigns have been employed. their duration is between 28 hours and 336 hours. The periods of monitoring coresponding to each campaign are: #1 September 1994, #2 February 1995, #3 October 1995, #4 February 1996, #5 April 1996, #6 March 1998, #7 July 1998, #8 October 1998, #9 July 1999 and #10 February 2000. Measurements of SRP, TP, TDP, ammonium and nitrates have been employed for the building of ADModel-P.
DOI: 10.4211/hs.f73f2de9b7fc484faad7827c9534ff56
title: Monitoring of suspended particles in the Milandre karst system (Switzerland)

description: This dataset contains time series of various parameters related to hydrology and suspended particles (discharge, temperature, turbidity, electrical conductivity, UV fluorescence, E.coli content, particle-size distribution (PSD)) measured in the karst system of Milandre in the Swiss Jura Mountains. The monitoring stations are located at the two main outlets (Saivu and Bâme springs) and at the upstream end of the cave stream (upstream Milandrine).
Some of the data have been supported by the A16 highway project of the FEDRO (Federal Roads Office) and the Canton of Jura within a contract with MFR Géologie - Géotechnique SA and RWB Jura SA. We are grateful to them for making this data available. Special thanks the FEDRO and the Canton of Jura for their open and pragmatic approach in dealing with this challenging environmental monitoring and committing the necessary financial resources. The Spéléo-Club Jura and its president Pierre Xavier Meury have also been supportive of our research and made the access to the cave possible under good conditions.
DOI: 10.4211/hs.72f0c0e2447540aa8837eca509b077db
title: Estimating the geometry of the Tagus River Alluvial banks - GEOINTegration Summit

description: The Tagus River Alluvial banks are in the central area of the Tagus Basin in Portugal. Due to its porous hydrological formations and the hydraulic connection to the Tagus River, the alluvial banks show good water productivity at the national scale, but its strategic geographical location is promoting overexploitation of its sources, for the public water supply, agriculture, and industry. This study aims to characterize the geometry of the Tagus River Alluvial banks estimating its depth. The geometry combined with its hydraulic behaviour give ways to predict its capacity to respond under different scenarios of water exploitation. To build the model we follow three main steps, data mining and processing of 60 drilling logs, spatial exploratory data analysis and geostatistical methods. The proposed model is validated with literature review and shows as previous studies do, that the alluvial banks are deeper in the downstream sector.
DOI: 10.4211/hs.8ec9c0479b034addb998fe12ffb6a12f
title: Estimating the geometry of the Tagus River Alluvial banks - GEOINTegration Summit USGIF

description: The Tagus River Alluvial banks are in the central area of the Tagus Basin in Portugal. Due to its porous hydrological formations and the hydraulic connection to the Tagus River, the alluvial banks show good water productivity at the national scale, but its strategic geographical location is promoting overexploitation of its sources, for the public water supply, agriculture, and industry. This study aims to characterize the geometry of the Tagus River Alluvial banks estimating its depth. The geometry combined with its hydraulic behaviour give ways to predict its capacity to respond under different scenarios of water exploitation. To build the model we follow three main steps, data mining and processing of 60 drilling logs, spatial exploratory data analysis and geostatistical methods. The proposed model is validated with literature review and shows as previous studies do, that the alluvial banks are deeper in the downstream sector.
DOI: 10.4211/hs.a28685d2dd584fe5885fc368cb76ff2a
title: NLDAS Forcing NetCDF using CAMELS datasets from 1980 to 2018

description: This resource was created using CAMELS (https://ral.ucar.edu/solutions/products/camels) `TIME SERIES NLDAS forced model output` from 1980 to 2018. 
The original NLDAS (North American Land Data Assimilation System) hourly forcing data was created by NOAA by 0.125 x 0.125 degree grid. 
Through creating CAMELS datasets, hourly forcing data were reaggregated to 671 basins in the USA.
In this study, we merged all CAMELS forcing data into one NetCDF file to take advantage of OPeNDAP (http://hyrax.hydroshare.org/opendap/hyrax/) in HydroShare.
Currently, using SUMMA CAMELS notebooks (https://www.hydroshare.org/resource/ac54c804641b40e2b33c746336a7517e/), we can extract forcing data to simulate SUMMA in the particular basins in 671 basins of CAMELS datasets.
DOI: 10.4211/hs.db2cc5d068c04a2da47496c7265d3025
title: Modelled hydrodynamic and vegetation data Hunter Estuary _ Area E

description: Coastal wetland vulnerability to submergence as an effect of sea level rise has been the focus many research in recent years. The data set presented here shows summarizes the results of an eco-geomorphic model developed for a wetland site in the Hunter Estuary, Australia. The model integrates spatially distributed hydrodynamic simulations that accounts for hydraulic attenuations from control structures and vegetation. Hydrodynamic simulations are used to describe the tidal regimen, which is then integrated with vegetation specific rules and an eco-geomorphic accretion model to simulate dynamics of the vegetation. The dataset shows predicted changes in wetland vegetation over 100 years under sea level rise projections (IPCC RCP8.5) and hydrodynamics are described with a single parameter (D) which corresponds to the average depth below higher spring high tide calculated for each point within the wetland. The simulations show results for three management scenarios in the site. See references for a full description of the model and other relevant data.
DOI: 10.4211/hs.5a64a540b0384018ae252d9079de32e8
title: National Wild and Scenic Rivers System-NHDv2 Seamless Merge

description: Data in this resource folder comprise of geospatial data related to the National Wild and Scenic Rivers System. The system was formed by the Wild and Scenic Rivers Act of 1968 (WSRA) and sets out to protect and enhance rivers and their associated Outstandingly Remarkable Values (ORVs) in perpetuity. Both designated Wild and Scenic Rivers (WSR) and potentially eligible rivers on the Nationwide Rivers Inventory (NRI) form the national system. A geospatial dataset for WSR and NRI segments are provided here for individual or joint analyses. Both datasets are seamlessly joined with the NHDv2. These datasets contain hydrologic and WSRA policy specific attribute data related to all segments within the national system.
DOI: 10.4211/hs.16365f47cb0248dfab513e45b229f4ae
title: Denver Census Block Group Irrigation Rates (1995-2018)

description: The data in this resource represent annual outdoor water use (i.e., irrigation rates) for the City and County of Denver at the 2010 census block group scale from 1995-2018. The resource contains two files: a CSV containing irrigation rates and a shapefile containing the spatial extent of each block group. 

Further explanation of the remote sensing-based method used to model these data and the data themselves can be found in and cited as:
Blount, K., J. Wolfand, C.D. Bell, N.K. Ajami, and T.S. Hogue (2021). Satellites to sprinklers: Assessing spatiotemporal patterns of outdoor water use using remote sensing. Water Resources Research. doi: 10.1029/2020WR027587. 

Please direct any questions to K. Blount.
DOI: 10.4211/hs.b15ecfb0a5e946e38c0f49646fbc33bb
title: Altamaha River Dataset

description: Field surveys were carried out in 2014 and 2016 to survey the long channel profile, cross-section profile, and continuous water surface elevation of the lower Altamaha River, Georgia, USA. Also, the bed material samples along the study reach where extends for 47km long and located about 30km from the river mouth were collected and analyzed. The study site was chosen to study the geomorphological transition from the fluvial dominated to tidal dominated reach.
DOI: 10.4211/hs.81867bb55f134d8d89ec2250ae6c1014
title: 2018 Daily Downscaled ESA-CCI Soil Moisture Grids for Delaware, USA

description: The contained grids were derived by applying a novel downscaling methodology to the coarse, remotely-sensed ESA Climate Change Initiative Soil Moisture Product version 4.5. We employed an ensemble of kernel K-nearest neighbors models to refine the grid cell resolution from 27 km to 100 m using ancillary terrain data and interpolated meteorological observations. The downscaled grids were validated against independent surface soil moisture (SSM) network observations, which revealed an improved performance over the low resolution grids. Performance was further improved when grid cell values were normalized and then rescaled based on the daily SSM minima and maxima observed by the monitoring network. The downscaled grids are independent of vegetation and land cover data, allowing for investigations into spatial relationships between SSM, vegetation and land cover.

For a code example of the KKNN approach, see: https://github.com/warnerdl/DownscalingDelawareSSM
DOI: 10.4211/hs.b5f0000096174af9af94fe62bd2065d6
title: Winter Wonderland Cave, Utah: stable isotope and geochemical data for ice and cryogenic cave carbonate (CCC)

description: Winter Wonderland Cave, in the Uinta Mountains of Utah, contains perennial ice with associated cryogenic cave carbonate (CCC).  This data set contains the results of stable isotope analyses of this ice and the CCC along with their geochemical characterization.
DOI: 10.4211/hs.c9ef6ecde25640d4bd4c7a9c50575016
title: Streamflow Data from Hoagland et al. (2020), Groundwater-stream connectivity mediates metal(loid) geochemistry in the hyporheic zone of streams impacted by historic mining and acid rock drainage

description: To determine if and when the hyporheic zone mediates metal(loid) export, we investigated the relationship between streamflow, groundwater-stream connectivity, and subsurface metal(loid) concentrations in two ~1 km stream reaches within the Bonita Peak Mining District, a U.S. Environmental Protection Agency Superfund site located near Silverton, Colorado, USA. The hyporheic zones of reaches in two streams—Mineral Creek and Cement Creek—were characterized using a combination of flow analysis, salt-tracer injection tests, transient-storage modeling, and geochemical sampling of the shallow streambed (< 0.7 m). The following resource contains raw HOBO Pressure Transducer files and rating curves that were used to create the hydrograph in Figure 8 of the associated publication "Groundwater-stream connectivity mediates metal(loid) geochemistry in the hyporheic zone of streams impacted by historic mining and acid rock drainage." The HOBO files include water and barometric pressure measurements (15min interval) at two locations north of Silverton, Colorado. The locations are near the Chattanooga Fen Complex on Mineral Creek (37.867540°, -107.723876°) and Cement Creek downstream of Prospect Gulch (37.88049°, -107.66814°). Also included are two excel files (one for each stream site) with manual flow measurements and rating curves. The rating curves in combination with the stream stage files (estimated from the pressure transducer measurements) were used to calculate stream discharge. The .hobo files can be viewed in the HOBO software, which is a free download (https://www.onsetcomp.com/hoboware-free-download/).
DOI: 10.4211/hs.512646021e98432fac3280bfb13c535d
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.c43631e99670451f992ec9db41d29ad6
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 file)
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.50a3efa2fb564eee854527519ce112cc
title: MeghnaData

description: Dataset (hydraulic head) collected on Veast study site on the east side of the Meghna River.
DOI: 10.4211/hs.b4ec3ddba8e14f9b96f566d110100148
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.37a7544cc3b944e88a8754bd6c1b8eb1
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.d6d4085104c748e38606a0aac83e4779
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 file)
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