cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.4211/hs.44849607416745c98fc0946672128100
title: Monitoring the storage volume of water reservoirs using Google Earth Engine

description: Recently, the satellite images have been used in remote sensing allowing observations with high temporal and spatial distribution. The use of water indices has proved to be an effective methodology in the monitoring of surface water resources. However, precise or automatic methodologies using satellite imagery to determine reservoir volumes are lacking. To fulfil that gap, this methodology proposes 3 stages: use Google Earth Engine (GEE) to select images; automatically calculate flooded surface areas applying water indices; determine the volume stored in reservoirs over those years based on the relation between the flooded area and the stored volume. The method was applied in four reservoirs and contemplate Landsat 4 and 5 ETM and Landsat 8 OLI. For the calculation of the flooded area the NDWI Indexes (McFeeters, 1996; Gao, 1996), and the MNDWI index (Xu, 2006) were applied and tested. The estimation of stored volume of water was made based on the area indices and a cross-check between real stored volume and calculated volume was made. Finally, an analysis on the selection of the best fit water indices was made. The results of every case studies herein displayed showed a quantifiable proficiency and reliability for quite a varied natural conditions. As a conclusion, this methodology could be seen as a tool for water resources management in developing countries, and not only, to measure automatically trends of stored volumes and its relation with the precipitation, and could eventually be extended to other types of surface water bodies, as lakes and coastal lagoons.
DOI: 10.4211/hs.729c0aea00bb48d6b6814c147e4318c4
title: Potential levees

description: File geodatabase of potential levees in the contiguous U.S.  "HUC" denotes the 2-digit HUC basin and "lev_length" is an estimate of the potential levee length in meters.
DOI: 10.4211/hs.91c10582fb60414fbc56d83fa5a0028b
title: Actual Evapotranspiration, Urmia Lake Basin 2000-2020, Using MPySEBAL and MODIS

description: Data of AH.Owlia thesis, The Lake Urmia Basin, Iran.

Actual evapotranspiration is one of the water balance equation and surface energy balance components. The estimation of agriculture water consumption in irrigation projects is based on the determination of this variable. In this study, MPySEBAL based on energy balance budget was developed due to customization of PySEBAL for The Lake Urmia Basin. Results of the models validations with lysimetric data from 2010 to 2011 showed that MPySEBAL (with selecting anchor pixels with land surface temperature and vegetation cover thresholds) is superior to PySEBAL by providing up to 70% less RMSE. After that, the values of evapotranspiration for the period from the beginning of 2000 to the end of 2019 were presented in monthly and annual temporal resolution and 250 meter spatial resolution. Then, using the precipitation data derived from synoptic stations that were located in the basin, precipitation, effective precipitation and agricultural water need maps for the reference period of 2000-2019 were calculated for the basin. Then, by dividing the catchment into three regions, east, west, and south and downscaling precipitation and temperature data on three selected stations in these areas (Urmia, Tabriz, and Miandoab), and using the HadGEM2_ES model, under three RCP2.6, 4.5, and 8.5 scenarios. In the process of downscaling, the 20-year period of 2000-2019 was selected as the reference period (observation data) and the period of 2021-2040 as the period of climate change. The results showed an average increase in air temperature up to 10 and precipitation up to 11 percent per year for the entire basin. By finding the relationship between air temperature, surface temperature, and evapotranspiration rate, the amount of agricultural water consumption in the next years was calculated, which results show an increase in agricultural water consumption (3% to 5%) and agricultural water demand (2% to 5%) in The Lake Urmia Basin. Therefore, it seems that due to the impact of climate change on this basin, the need to manage and exploit the available resources in the basin will be more important in the next years.
DOI: 10.4211/hs.6f183a93acd44f4fb63f5f88ac34d62f
title: Updated (28 September 2021) data for La Follette et al (MCA on rock moisture and streamflow)

description: This resource contains the all relevant data for its associated manuscript by La Follette et al. on the topic of multiple criteria analysis on rock moisture and streamflow in a lumped conceptual hydrologic model. Specifically, this resource includes outputs of the Elder Creek model, as well as calibration and forcing data. See the readme file for a detailed description. Note that an older version of these data exist, which do not correspond to any manuscript.
DOI: 10.4211/hs.6b2cde0ea82b439d83cf96f5b61aa1f6
title: ADModel for phosphorus compounds (ADModel-P)

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.7e89f4916e84454e84d2000e61da6b47
title: Supporting Data for Hixson and Ward (2022), Hardware Selection and Performance of Low-Cost Fluorometers

description: Supporting Data for:

 Hixson, J.L.; Ward, A.S. Hardware Selection and Performance of Low-Cost Fluorometers. Sensors 2022, 22, 2319. https://doi.org/10.3390/s22062319
DOI: 10.4211/hs.3ec89350233f42899b83650775fd1ad8
title: Supplemental data files for: Joint imaging of ERT datasets and its application in seepage characterization at Nanshan dam, southeast China

description: Hydrogeophysical techniques, such as electrical resistivity tomography (ERT), significantly enhance our ability to observe fluid transport and transformation within highly heterogeneous subsurface environments, as well as aid in inferring hydrological models. Despite their efficacy, these methods encounter discrepancies and uncertainties related to data acquisition and geophysical inversion. To address these issues, joint inversions emerge as preferred methodologies, aiming to reduce ambiguity and establish a unified earth model. A primary challenge in this approach is the effective integration of prior information into the joint inversion framework. Particularly in cases involving multiple datasets focused on a single physical property (e.g., electrical resistivity), there exists an inherent and intrinsic parameter relationship that links collocated resistivity models, suggesting a consistent subsurface geoelectric structure. Addressing this, we introduce the concept of intrinsic parameter relationship coupling within compositional joint inversion frameworks. This method is applied to field scenarios involving Wenner, Wenner-Schlumberger, and dipole-dipole datasets to delineate preferential seepage pathways. Our observations indicate that the intrinsic parameter relationship coupling scheme effectively resolves discrepancies in data coverage, sensitivity, and Signal-to-Noise Ratio (SNR). This research contributes to the field of hydrogeology by providing more accurate resistivity estimates and distributions, utilizing multiple ERT datasets derived from varied electrode configurations.
DOI: 10.4211/hs.7ce5f87bc1904d0c8f297389be5fa169
title: National Water Model RouteLinks CSV

description: This resource contains "RouteLink" files for version 2.1.6 of the National Water Model which are used to associate feature identifiers for computational reaches to relevant metadata. These data are important for comparing NWM feature data to USGS streamflow and lake observations. The original RouteLink files are in NetCDF format and available here: https://www.nco.ncep.noaa.gov/pmb/codes/nwprod

This resource includes the files in a human-friendlier CSV format for easier use, and a machine-friendlier file in HDF5 format which contains a single pandas.DataFrame. The scripts and supporting utilities are also included for users that wish to rebuild these files. Source code is hosted here: https://github.com/jarq6c/NWM_RouteLinks
DOI: 10.4211/hs.d154f19f762c4ee9b74be55f504325d3
title: National Water Model RouteLinks CSV

description: This resource contains "RouteLink" files for version 2.1.6 of the National Water Model which are used to associate feature identifiers for computational reaches to relevant metadata. These data are important for comparing NWM feature data to USGS streamflow and lake observations. The original RouteLink files are in NetCDF format and available here: https://www.nco.ncep.noaa.gov/pmb/codes/nwprod

This resource includes the files in a human-friendlier CSV format for easier use, and a machine-friendlier file in HDF5 format which contains a single pandas.DataFrame. The scripts and supporting utilities are also included for users that wish to rebuild these files. Source code is hosted here: https://github.com/jarq6c/NWM_RouteLinks
DOI: 10.4211/hs.c54a283dbefa4fa081fa8fcad8d634ca
title: Incorporating ECOSTRESS evapotranspiration in a paired catchment water balance analysis after the 2018 Holy Fire in California

description: Ecohydrological processes such as evapotranspiration (ET) and streamflow are highly variable after fire in Mediterranean systems and require accurate assessments to improve long-term risk mitigation of erosion and peak flows and revegetation strategies, especially at the small catchment scale. Using the case of the 2018 Holy Fire in southern California, we characterized 1) pre-fire rainfall and evapotranspiration conditions and 2) recovery of ecohydrological processes using a paired analysis between an unburned (Santiago) and burned (Coldwater) catchment. ECOsystem Spaceborne Thermal Radiometer Experiment on Space Station (ECOSTRESS), Operational Simplified Surface Energy Balance Model (SSEBop), vegetation indices, and local rainfall-runoff data were used to characterize the sites and investigate spatial and temporal patterns of post-fire ET. Consistent with the drought conditions in California, we observed low precipitation and ET prior to the fire. Additionally, compared to other vegetation types, montane hardwood species were more likely to be classified as high soil burn severity. We also found that the high spatial and temporal resolution of ECOSTRESS provided more information about the general ET patterns. After the fire, ECOSTRESS ET was sensitive to parameters such as slope aspect, soil burn severity, and vegetation species, which has implications for post-fire vegetation recovery and water storage. This work demonstrates opportunities to apply ECOSTRESS ET across globally diverse ecoregions and small catchment scales to identify potentially high-risk areas and improve fire risk and vegetation recovery assessments.
DOI: 10.4211/hs.1710a6b553da4f70877c2abc69f3a42b
title: Estimating Potential Climate Change Effects on the Upper Neuse Watershed Water Balance Using the SWAT Model

description: This resource holds the data and models used by Ercan et al. (2020). The goal of their study was to quantify possible changes in the water balance of a 1373 km2 watershed in North Carolina, the Upper Neuse watershed,  due to climate change. To accomplish this, they used a SWAT model to quantify possible changes in the water balance. They first analyzed sensitivity to determine their study area's most sensitive model parameters. Next, they calibrated and validated the SWAT model using daily streamflow records within the watershed. Finally, they used the SWAT model forced with different climate scenarios for baseline, mid-century, and end-century periods using five different downscaled General Circulation Models.

​Ercan et al. (2020)​ did not formally publish the data or Model Instances (MI) used in their study, which is not uncommon. In this resource, we published their data and MIs as an example to demonstrate the design capabilities of Maghami et al. (2023)'s extensible schema for capturing environmental model metadata and show its implementation in HydroShare.

This resource includes the raw input data and preprocessing codes to prepare them as MIs for the SWAT model, four MIs, one Model Program (MP), and postprocessing codes Ercan et al. (2020) used summarize the model results as figures and tables. The contents are organized into the following seven folders:

1- InputDataAndPreprocessing
2- MI_1_SensitivityAnalysis
3- MI_2_CalibrationAndValidation
4- MI_4_ClimateModels_Historical_AfterCalibration
5- MI_5_ClimateModels_Future_AfterCalibration
6- MP
7- Postprocessing

A detailed explanation of the MIs and the MP is available in Maghami et al. (2023). It is important to note that our model metadata design treats the entire raw input data, custom preprocessing, and postprocessing tools (e.g., codes to process raw input data), along with the processed input data, as a single MI. However, since most of the raw input data, preprocessing, and postprocessing tools are common among the four MIs, to avoid repetition, we have organized them into dedicated folders. Each MI now specifically includes only the processed input data for the SWAT model.
DOI: 10.4211/hs.22c662d201354961ba74e61aeca43a85
title: Spatiotemporal variation in Oregon salt marsh expansion and contraction (GIS data)

description: Spatiotemporal patterns of salt marsh lateral change vary along the Oregon coast, reflecting complex drivers of morphodynamics. To identify potential drivers of expansion/contraction, marsh edge position and area were measured from aerial imagery (~10 y resolution over ~80 y) in five Oregon estuaries with variable morphologies, fluvial sediment supplies, and relative sea level variation. In addition to highlighting the combined importance of these forcings, results suggest that intensive timber harvest in the mid-20th century coincident with increased precipitation during the wet phase of the Pacific Decadal Oscillation caused marsh expansion in all estuaries. More recently, rates of expansion decreased, sometimes giving way to net contraction. Although the exact reasons remain unclear, reduced timber harvest and improved logging methods are likely culprits. If these trends persist, continued salt marsh contraction is expected into the future along the Oregon coast especially under accelerated sea level rise.
DOI: 10.4211/hs.7046f3efa5db4cb78296fa06d833d721
title: PISCO_HyD_ARNOVIC v1.0

description: This repository contains data from the PISCO_HyD_ARNOVIC v1.0 product (Llauca et al. in prep) for the Peruvians domain.
DOI: 10.4211/hs.8effc52830804e33a511f96087394e64
title: Climate change on PCJ watersheds

description: Simulation results of historical scenarios and climate modified hydrological series for water allocation and water quality parameters on the Piracicaba, Capivari, and Jundiaí watersheds (PCJ watersheds) in São Paulo, Brazil.
DOI: 10.4211/hs.6f3670b8cd944e7ea72e03d1b9ca928f
title: Rainfall-Runoff Balance Enhanced Model Applied to Tropical Hydrology

description: Water resources management is of primary importance for better understanding the impact on scenarios of climate change. The mean monthly runoff, soil moisture and aquifer recharge long-run forecast can support decisions to manage water demand, to recover degraded areas, water security, irrigation, electrical energy generation and urban water supply. The integrative and comprehensive analysis considering the spatial and temporal representation of hydrological process such as the distribution of rainfall, land cover and land use, ground elevation is a challenge. Therefore, these input data are important to modeling the water balance. We present the Rainfall-Runoff Balance Enhanced Model (RUBEM) as a grided hydrological model capable to represent the canopy interception, runoff, soil moisture on the non-saturated soil layer, baseflow and aquifer recharge. The RUBEM includes evapotranspiration and the interception based on the leaf area index (LAI), fraction of photosynthetically active radiation (FAPAR) and normalized difference vegetation index (NVDI). The land use and land cover are updated during the simulations. The RUBEM was tested for tree tropical watersheds in Brazil with different hydrological and soil properties zones. The Piracicaba River has 10,701 km² (latitude 22.7o S), Ipojuca River has 3,471 km² (latitude 8.3o S) and Alto Iguaçu River with 2,696 km² (latitude 25.6o S). The input data from 2000 to 2010 was used to calibrate the runoff and the Nash-Sutcliffe indicator (NSI) results in 0.63, 0.48 and 0.60, respectively. The data input from 2011 to 2018 was the validation model period and NSI results in 0.66, 0.43 and 0.77. According to the NSI results, the model had a suitable calibration and validation in different hydrological zones and soils constitutions. The RUBEM is an important grided hydrological model with capabilities to support researchers, policymakers, and decision-makers under spatial and temporal water balance analysis to water managements plans, recovery degradation areas and long-run forecast.
DOI: 10.4211/hs.923cf9a7a3bb49369a4e65d48237002b
title: Feature extraction approaches for leaf area index estimation in California vineyards via machine learning algorithms

description: Accurate leaf area index (LAI) estimation through machine learning (ML) algorithms is a channel for better understanding and monitoring the existing biomass and it relates to the distribution of energy fluxes and evapotranspiration partitioning. In order to support the ML algorithm for accurate LAI estimation, the supporting data (or features) gained from the sUAS platform are challenging in terms of variety, quantity, and quality. This project provides two types of feature-extraction approaches and the demo data to show how a variety of features are generated based on the sUAS platform via the python language. This project is also part of our pending paperwork. Other researchers can also use this project based on their sUAS platform to gain the features for estimation of their interested parameters, such as biomass and leaf water potential.
DOI: 10.5066/p13lnr4q
title: Meadow vole data for fragmentation study

description: The dataset contains observational records of encounters of meadow voles (Microtus pennsylvanicus) trapped at Eastern Ecological Science Center (formerly Patuxent Wildlife Research Center) in Laurel, Maryland, USA. Animals were trapped using Sherman traps from 23 September 1991 to 24 August 1993. Data collected included id, date, age, sex, weight, location and reproductive status.
DOI: 10.5281/zenodo.17916256
title: МІСЬКЕ ПРАВО: СУЧАСНИЙ ПРАВОВИЙ ЛАНДШАФТ

description: The article argues that the rapid strengthening of cities as centers of social life and governance requires revising modern-era concepts of the relationship between national and local (urban) law and recognizing urban law as an autonomous legal locus shaped by spatial criteria. Against the background of global urbanization and the historical role of urban law in the formation of national legal orders, it shows how the once homogeneous legal space of the nation-state differentiates into national and local (urban) legal orders, each interacting in its own way with international legal processes.Using an urbanist approach, the author characterizes the city as a legal center with a much higher concentration of legal relations and a specific legal culture, which justifies orienting legal analysis to the city as an independent legal unit. At the same time, many cities are burdened with legislation that poorly corresponds to urban realities and lack institutional capacity to adapt norms, which generates widespread informality, parallel regulatory systems, and “informal urban law” as a de facto norm.The article links these dynamics to a broader crisis of state legitimacy, especially in “criminal states” (aggressor, oppressive, corrupt, or negligent), where national law becomes a decorative façade for criminal governance and loses the ability to mediate growing tensions between urban communities and discredited state institutions. In such conditions, the traditional functional division in which cities specialize in finance and states in warfare becomes exhausted, and the balance between cities and nation-states is shifting, which the author illustrates through the impact of Russia’s aggression against Ukraine.On this basis, the article conceptualizes “urban law” as the body of norms that shape cities, their land use, institutions, and finances, and that structure the relationship between city and state within a differentiated legal landscape. The concluding thesis is that future legal development will increasingly depend on negotiated compromises between powerful cities and effective nation-states, and on constructing urban legal frameworks capable of reconciling intense local legal cultures with broader national and international legal orders.
DOI: 10.15468/dl.nn4p9y
title: Occurrence Download

description: A dataset containing 2339 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "NetworkKey is 99d66b6c-9087-452f-a9d4-f15f2c2d0e7e",
 "TaxonKey is Chordata"
 ]
 },
 {
 "and" : [
 "TaxonKey is one of (Setophaga petechia [GBIF Backbone Taxonomy])",
 "EventDate 1920-01-01-1931-01-01",
 "BasisOfRecord is one of (Specimen)"
 ]
 }
 ]
}

 The dataset includes 2339 records from 75 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0049964-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.4211/hs.9118e2c1034e40e4ba4721cd17702f70
title: Footprint area generating based on eddy covariance records

description: Energy flux and evapotranspiration modeling via the widely used two-source energy balance (TSEB) model at a subfield scale for vineyards based on the high-resolution images gained by the small Unmanned Aerial System (sUAS) is a critical tool for vine-growers and researchers to better understand the water and energy exchange between the land surface and air. The footprint area of the eddy-covariance (EC) tower is a crucial factor that can provide an efficient and effective channel for verification of modeling results (e.g., evapotranspiration and energy components). This project provides an efficient way to search parameters from the available dataset provided by the Grape Remote sensing Atmospheric Profiling and Evapotranspiration eXperiment (GRAPEX) team according to the AggieAir (https://uwrl.usu.edu/aggieair/, a type of sUAS) flight time, which can help in footprint area calculation. The list of footprint areas generated are intended to efficiently support research and promote a better understanding of the water and energy exchange. This project is also a part of our pending paper. Other researchers can also consider using this project if the available data are similar.