cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.4211/hs.114c6ee544ca449990a7005655a7263c
title: Forest and Ground Cover classification, DEM, and Beryllium-10 data for the Luquillo Experimental Forest

description: Topography is commonly viewed as a passive backdrop on which vegetation grows. Yet, in certain circumstances, a bidirectional feedback may develop between the control of topography and the spatial distribution of vegetation and landform development, because vegetation modulates the erosion of the land surface. Therefore, if reinforcing feedbacks are established between erosion and land cover distribution over timescales relevant to landform development, then the interactions between vegetation and topography may create distinctive landforms, shaped by vegetation. We expose here a strong correlation between the spatial distribution of vegetation, erosion rates, and topography at a characteristic length scale of 102-103m (mesoscale topography) in the Luquillo Experimental forest (LEF) of Puerto Rico. We use high-resolution LiDAR topography to characterize landforms, satellite images to classify the vegetation into forest types, and in-situ produced cosmogenic 10Be in the quartz extracted from soils and stream sediments to document spatial variations in soil erosion. The data document a strong correlation between forest type and topographic position (hilltop vs. valleys), and a correlation between topographic position and 10Be-derived erosion rates over 103-104 years. Erosion is faster in valleys, which are mostly covered by monocot Palm Forest, and slower on surrounding hills mostly covered by the dicot Palo Colorado Forest. Transition from one forest type to the next occurs across a break-in-slope that separates shallowly convex hilltops from deeply concave valleys (coves). The break-in-slope is the consequence of a longer-lasting erosional imbalance whereby coves erode faster than hills over landscape-shaping timescales. Such a deepening of the coves is usually spurred by external drivers, but such drivers are here absent. This implies that cove erosion is driven by a process originating within the coves themselves. We propose that vegetation is the primary driver of this imbalance, soil erosion being faster under Palm forest than under Palo Colorado forest. Concentration of the Palm forest in the deepening coves is reinforced by the better adaptation of Palm trees to the erosive processes that take place in the coves, once these develop steep slopes. At the current rate of landscape development, we find that the imbalance started within the past 0.1-1.5 My.  The initiation of the process could correspond to time of settlement of these mountain slopes by the Palm and Palo Colorado forests.

S2-Shapefile1- Study Area
S2-Shapefile2 - Cove And Ridge Tops On Quartz Diorite 
S2-Shapefile3 - Ground Proofing Tracks 

S1-Grid1.tif - Elevation 
S1-Grid2.tif - Elevation in Study Area
S2-Grid1.tif- Forest Classification; Sierra Palm is classified with #2 on each raster cell, Palo Colorado is classified with #3 in each grid cell.
DOI: 10.4211/hs.c0876501581f46c698727dc956cc2d73
title: Temperature separation via eliminating shadow-pixel influence based on high-resolution sUAS image in California vineyards

description: The images generated by high-resolution spectral and thermal sensors equipped on small unmanned aerial vehicles (sUAV) make possible estimation of energy flux for California vineyards via the two-source energy balance (TSEB) model. Temperature (thermal) image plays an important role in the TSEB model, and the high-resolution provides an opportunity for temperature separation, which may better delineate the energy flux between canopy and soil. However, with the exception of shadow effects, outliers are another major concern during data processing with a previous temperature separation algorithm that uses the relationship between the normalized difference vegetation index (NDVI) and the corresponding temperature pixel for temperature separation. An upgraded algorithm for temperature separation was introduced in the paper titled “The suitability of the TSEB model as a tool to estimate ET partitioning using improved LAI considering the difference of climate, soil, vine variety, and seasons for research areas across California,” and this research provides example data and the upgraded algorithm (a python programmed function) to demonstrate how we finished the temperature separation process.
DOI: 10.4211/hs.c12d334b3143470a9787a610bec216a7
title: A python-based program generating a part of information based on AggieAir images for the TSEB model: taking California vineyards as an example

description: This is a project aiming at using python program to generate fractional cover, canopy height, and canopy width over canopy height for the TSEB model based on images collected via the AggieAir small unmanned aerial system (sUAS) platform over California vineyards.
DOI: 10.4211/hs.aa33f5439f62422a9efcd284f38cfb23
title: Gap-filled Flow Data Series in the East Region of the DR (Series Completadas de Caudal en la Región Este de RD)

description: This research in the East Region of the Dominican Republic addresses the lack of hydrological information through the application of rainfall-runoff models. Enhanced pluviometric records, coupled with bivariate regression models, were employed to determine streamflow in watersheds—a critical aspect given the high demand for water resources in the region. Although an increase in average precipitation was observed, 99% of the stations maintained an annual variation below 10%. The generation of streamflow data using MPE extended the availability of data from 30-40 years to 80 years, enhancing the accuracy of mathematical models. The variation between recorded and simulated streamflows remained below 10% in 90% of the cases. This study addresses the scarcity of hydrological information in the region, providing more extensive and accurate data for water-related projects.

La investigación en la Región Este aborda la carencia de información hidrológica mediante la aplicación de modelos lluvia-escorrentía. Se emplearon registros pluviométricos mejorados con modelos de regresión bivariado para determinar caudales en cuencas, crucial dada la alta demanda del recurso hídrico en la región. Aunque se observó un aumento en las precipitaciones medias, el 99% de las estaciones mantuvo una variación anual inferior al 10%. La generación de datos de caudal con el MPE amplió la disponibilidad de 30-40 años de datos a 80 años, mejorando la precisión de los modelos matemáticos. La variación entre caudales registrados y simulados se mantuvo por debajo del 10% en el 90% de los casos. Este estudio aborda la carencia de información hidrológica en la región, proporcionando datos más extensos y precisos para proyectos relacionados con el agua.
DOI: 10.4211/hs.6e4f08d8380a49f99314bae8a7ac41e2
title: Linking soil structure, SHPs, and soc dynamics to study the impact of climate change and land management

description: This resource includes the Python scripts of the modeling framework, simulation result CSV files, and the figures for the manuscript entitled 'Linking Soil Structure, Hydraulic Properties, and Organic Carbon Dynamics: A Holistic Framework to Study the Impact of Climate Change and Land Management.'  results_simulations_constant_porosity.csv file contains the simulation results of the modeling framework at constant porosity. results_simulations_dynamic_porosity.csv file contains the simulation results of the modeling framework at dynamic porosity. model_constant_phi is the python script with the description of the modeling framework at a constant porosity that needs to be imported and run along with the simulation constant porosity Jupyter notebook to obtain the simulation results at constant porosity. model_dynamic_phi is the python script describing the modeling framework at a dynamic porosity that needs to be imported and run along with the simulation dynamic porosity notebook to obtain the simulation results at dynamic porosity.

Figure 3 and Figure 4 Jupyter notebooks have the codes for those plots in the manuscript.

To find the updated version of the codes, visit the GitHub link: https://github.com/Achla-Jha/Soil-Structure.git. 

The abstract of the manuscript:

Climate change and unsustainable land management practices have resulted in extensive soil degradation, including alteration of soil structure (i.e., aggregate and pore size distributions), loss of soil organic carbon, and reduction of water and nutrient holding capacities. Although soil structure, hydrologic processes, and biogeochemical fluxes are tightly linked, their interaction is often unaccounted for in current ecohydrological, hydrological and terrestrial biosphere models. For more holistic predictions of soil hydrological and biogeochemical cycles, models need to incorporate soil structure and macroporosity dynamics, whether in a natural or agricultural ecosystem. Here, we present a theoretical framework that couples soil hydrologic processes and soil microbial activity to soil organic carbon dynamics through the dynamics of soil structure. In particular, we link the Millennial model for soil carbon dynamics, which explicitly models the formation and breakdown of soil aggregates, to a recent parameterization of the soil water retention and hydraulic conductivity curves and to soil carbon substrate and O$_2$ diffusivities to soil microsites based on soil macroporosity. To illustrate the significance of incorporating the dynamics of soil structure, we apply the framework to a case study in which soil and vegetation recover over time from agricultural practices. The new framework enables more holistic predictions of the effects of climate change and land management practices on coupled soil hydrological and biogeochemical cycles.
DOI: 10.4211/hs.5bfe0f4082274331b8c7da3dcfb99959
title: DATA for Experimental study on water-salt migration of soil subjected to evaporation

description: This dataset includes experimental measurements for evaporation research. It includes a series of variations in relative humidity and temperature for seven days.
DOI: 10.4211/hs.d882e83bae95438881c7b47f003e7a3c
title: Supplement materials for publication: Seasonal forecasting of local-scale soil moisture droughts  with Global BROOK90.

description: Simulation results of soil moisture and model input data for 12 European small catchments with Global BROOK90 with ERA5 and ECMWF forecast for 2016-2020 time period.
SMAP data for chosen catchments
Spatial data on the catchments (borders)
R-script to reproduce figures and tables for the manuscript
DOI: 10.4211/hs.75d565f76a9c4f04990b1538201010d1
title: Drinking Water Under Fire: Water Utilities’ Vulnerability to Wildfires in the Pacific Northwest

description: Increased wildfire activity in the western US can lead to detrimental cascading effects to water quality. After fires, burned areas may experience significant runoff-induced erosion and sediment transport into rivers and reservoirs, which could rapidly overwhelm existing drinking water treatment plants. This paper couples an assessment of wildfire risk with an evaluation of water utility preparedness to understand where key fire-related drinking water vulnerabilities exist. Wildfire risk assessments were constructed based on existing methodologies described in the academic literature to assess fire impacts in watersheds used by water utilities. A water utility preparedness index was created for this study using publicly available information to contextualize how well utilities may be able to respond to water quality degradation after fires. Based on the available data, results indicate that roughly one-third of utilities studied (representing 12% of the population served) were underprepared for fire and one-third used watersheds at greater risk of wildfire (representing 26% of the population served). However, only four utilities (2% of the population served) were likely underprepared and at greater risk of fire. The information developed here could provide a useful framework from which utility managers can better assess their likely wildfire risk and preparation plans relative to others should a fire occur.
DOI: 10.5281/zenodo.17916362
title: Datos Suplementarios SD1

description: Ejemplares utilizados en el análisis morfológico y las medidas craneales obtenidas. Colección Nacional de Mamíferos (CNMA), Colección de mamíferos del museo de zoología Alfonso L. Herrera de la Facultad de Ciencias de la UNAM (FC), Colección mastozoológica del Instituto Politécnico Nacional (IPN), Colección mastozoológica de la Universidad Autónoma Metropolitana unidad Iztapalapa (UAM), macho (M), hembra (H), valores no disponibles (NA), sexo indeterminado (X), Longitud total del cráneo (LT), largo de la bula auditiva (LB), ancho máximo del foramen magnum (FM), largo del palatino (LP), longitud del arco zigomático (LZ), largo de la mandíbula (LM), alto de la cresta sagital (ACS), largo del rostro (LR), largo de la caja craneana (LC), distancia de foramen mandibular al último molar (DFM), ancho de la caja craneana (AC), ancho del rostro (AR), ancho arcos zigomáticos (AZ), alto de la cresta occipital (OC), longitud de la abertura nasal (LAN), ancho el último molar superior (AM), ancho del último molar inferior (Am), alto de la mandíbula (AMA), alto del cráneo (ALC), constricción postorbital (CP), largo de los forámenes incisivos (LFP) y ancho interorbital (AI).
DOI: 10.5281/zenodo.17916363
title: Datos Suplementarios SD1

description: Ejemplares utilizados en el análisis morfológico y las medidas craneales obtenidas. Colección Nacional de Mamíferos (CNMA), Colección de mamíferos del museo de zoología Alfonso L. Herrera de la Facultad de Ciencias de la UNAM (FC), Colección mastozoológica del Instituto Politécnico Nacional (IPN), Colección mastozoológica de la Universidad Autónoma Metropolitana unidad Iztapalapa (UAM), macho (M), hembra (H), valores no disponibles (NA), sexo indeterminado (X), Longitud total del cráneo (LT), largo de la bula auditiva (LB), ancho máximo del foramen magnum (FM), largo del palatino (LP), longitud del arco zigomático (LZ), largo de la mandíbula (LM), alto de la cresta sagital (ACS), largo del rostro (LR), largo de la caja craneana (LC), distancia de foramen mandibular al último molar (DFM), ancho de la caja craneana (AC), ancho del rostro (AR), ancho arcos zigomáticos (AZ), alto de la cresta occipital (OC), longitud de la abertura nasal (LAN), ancho el último molar superior (AM), ancho del último molar inferior (Am), alto de la mandíbula (AMA), alto del cráneo (ALC), constricción postorbital (CP), largo de los forámenes incisivos (LFP) y ancho interorbital (AI).
DOI: 10.4211/hs.500448b3a57a485f8ef2197725f602f2
title: Laundry to Landscape Greywater Quality in Santa Clara County, California

description: With the increase in potable water scarcity, many agencies in different parts of the world have invested in water conservation programs, such as laundry-to-landscape (L2L) greywater systems, which reuse washing machine greywater for irrigation. This Data was gathered as part of a field study for my thesis research. Twenty-one greywater characteristics of thirty households with Laundry to landscape greywater systems in Santa Clara County, California, were analyzed. pH, electrical conductivity (Ec), sodium adsorption ratio (SAR), nitrogen, sodium (Na), calcium (Ca), Fecal Coliform (FC), magnesium (Mg), potassium (K), calcium (Ca), sodium (Na), chlorine (Cl), total dissolved solids (TDS), NO3 (as nitrate), phosphorus, carbonate CO3 as (CaCO3), bicarbonate HCO3 as (HCO3), total organic carbon (TOC), biochemical oxygen demand (BOD), iron (Fe), manganese (Mn), boron (B) and Sulfate (SO4) were analyzed in the lab.
Also, the plants irrigated with greywater, whether households were following California plumbing code, and system age were recorded as well.
DOI: 10.4211/hs.a85f6240d2c94e2281f4a88c5728323b
title: WaterResourcesResearch2022WR032779

description: The reservoir operation changes the downstream water level and the surrounding groundwater level. Predicting the groundwater level flux is crucial, especially before making the dam removal decision. However, investigating the condition of dam removal without demolishing the infrastructure is challenging. The novelty of this study comes from analyzing the groundwater level changes using the observed pre- and post-weir removal data. We built daily groundwater level prediction models for 14 groundwater observation wells using five machine learning algorithms. The support vector regression was the best machine learning algorithm in predicting the daily groundwater level. The groundwater level was the highest during normal operation and summer (rainy season) and the lowest during the full opening and winter (dry season). The groundwater changes were up to 3.15 m near the weir, and impacts extended 3.80 km but no further than 7 km. The final product was groundwater level maps that can assist groundwater level management and weir operation strategies based on groundwater level forecasting. Future studies can reconfigure and modify the groundwater prediction process used in this research to fit different hydrological and metrological variables to dams or weirs under consideration for removal.
DOI: 10.4211/hs.2f1db430089d47b09277a6b3b29ef7b1
title: EnviroDIY in the Delaware River Basin

description: This resource contains the data and R scripts necessary for replicating the results and graphics presented in the study "Advancing Freshwater Science with Sensor Data Collected by Community Scientists", intended for publication in Frontiers in Ecology and the Environment. The study authors are Diana Oviedo-Vargas, Marc Peipoch, Scott Ensign, David Bressler, David Arscott, and John Jackson.
DOI: 10.4211/hs.45624efce89d42beb6db58adc83309ba
title: Social and environmental vulnerability to flooding: Investigating cross-scale hypotheses

description: Flooding is a natural hazard that touches nearly all facets of the globe and is expected to become more frequent and intensified due to climate and land-use change. However, flooding does not impact all individuals equally. Therefore, understanding how flooding impacts distribute across populations of different socioeconomic and demographic backgrounds is vital. One approach to reducing flood risk on people is using indicators, such as social vulnerability indices and flood exposure metrics, to inform decision-making for flood risk management. However, such indicators can face the scale and zonal effect produced by the Modifiable Areal Unit Problem (MAUP). This study investigates how the U.S. Census block group, tract, and county scale selection impacts social vulnerability and flood exposure outcomes within coastal Virginia, USA. Here we show how (1) scale selection can obstruct our understanding of drivers of vulnerability, (2) increasingly aggregated scales significantly undercount highly vulnerable populations, and (3) hotspot clusters of social vulnerability and flood exposure can identify variable priority areas for current and future flood risk reduction. Study results present considerations about using such indicators, given the real-life consequences that can occur due to the MAUP. The results of this work warrant understanding the implications of scale selection on research methodological approaches and what this means for practitioners and policymakers that utilize such information to help guide flood mitigation strategies.
DOI: 10.4211/hs.1d532d77d4814b7fb97793f93b49ffde
title: Geophysical Logging data from UW Wellfield site BW-8, Blair-Wallis, Wyoming

description: Here we share some of the Borehole geophysical logging data collected in the BW-8 borehole of the Univ. of Wyoming Granite Wellfield at Blair-Wallis, near Laramie, WY.  NMR, Caliper, OBI, and Spinner Flowmeter logs are included.

BW8 location = 41.183899N, -105.39467
DOI: 10.4211/hs.b044425647e146229a778d59b164d7cf
title: Data Component Use Case for Wave Power Calculation

description: This resource includes a Jupyter Notebook to demonstrate how to use the CSDMS Data Component (https://csdms.colorado.edu/wiki/DataComponents) to download surface wave properties from the WAVEWATCH III model output for a given time period, interpolate it to a specific location, and calculate the wave power over time at that point.

HydroShare users can run the Jupyter Notebook (wavepower_usecase.ipynb) directly through the "CUAHSI JupyterHub" web app with the following steps:
- For the new user of the CUAHSI JupyterHub, please first make a request to join the "CUAHSI Could Computing Group" (https://www.hydroshare.org/group/156). After approval, the user will gain access to launch the CUAHSI JupyterHub.
- Click on the "Open with" button. (on the top right corner of the page)
- Select "CUAHSI JupyterHub"
- Select "CSDMS Workbench" server option. (Make sure to select the right server option. Otherwise, the notebook won't run correctly.)

If you encounter "Kernel Restarting" error when running this notebook on CUAHSI JupyterHub, select "Kernel" -> “Shut Down All Kernels" -> "Restart Kernel and Clear All Outputs" and rerun this notebook.

Please go to https://github.com/bundzis/wavewatch3_usecase to learn how to run this notebook on local PC or CSDMS JupyterHub.
DOI: 10.4211/hs.879debb0bc524817a150355c359f435f
title: An analysis of why rehabilitation and balancing programs for aquifers do not meet water organizations' targets (a case study of the Qazvin aquifer in Iran)

description: Iran experiences insufficient precipitation, resulting in groundwater resources being used in excess, leading to negative water balances in many plains. As a result, the Ministry of Energy began implementing the Groundwater Rehabilitation and Balancing Plan (GRBP) in 2006 to replenish the aquifers. The plan includes measures such as Blocking Illegal Wells (BIW), Equipping Wells with Volumetric Meters (EWVM), Increasing Patrol and Control (IPC) and inspection of the degree of exploitation of groundwater using wells, etc. Researchers examined the level of social agreement between farmers and experts on the effectiveness of the Ministry of Energy's policies for the GRBP and assessed the farmers' response to droughts in this descriptive-analytic study. The data were collected using questionnaires designed in Likert scale, and they were analyzed in R programming language using the T-test, independent-sample T-test, and Friedman test.  The  excel file contains data from two different questionnaires collected from farmers and experts.
An analysis of the data has been published in a paper "Hashemi, M., Zadeh, H. M., Zarghami, M., Demeke, B. W., & Delgarm, R. T. (2023). An analysis of why rehabilitation and balancing programs for aquifers do not meet water organizations' targets (a case study of the Qazvin aquifer in Iran). Agricultural Water Management, 281, 108258."
Other studies can use the data only if they cite it.
DOI: 10.4211/hs.f2cb8ff68613466a8de0bfdbe88a7c0f
title: Scripts for simulating unsaturated flow in a fracture network

description: This resource includes Matlab scripts for simulating unsaturated flow in a fracture network. An idealized two-dimensional honeycomb-like fracture network composed of a series of Y-shaped and inverted Y-shaped intersections is considered.