cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.4211/hs.d012b4b22ed645d98d29a2ad8d88c8f4
title: Dataset for "Environmental evaluation of remediation alternatives of the historically polluted Karosta Canal disposal site, Liepaja Port, Latvia"

description: Polluted sediments from the Karosta Canal (Latvia) were recently disposed into the adjacent 7 ha semi-closed basin, connected to the canal through two pipes presenting a risk of spreading contaminants. The impact of different management alternatives, including capping sediment, filling up the disposal site and/or installing floating solar panels (FPV), on GHG emissions and contaminant releases to the canal were estimated through modelling. This dataset includes the modelled GHG fluxes from the disposal site as well as the export fluxes of metals, polycyclic aromatic hydrocarbons (PAH), polychlorinated biphenyl compounds (PCBs) and oil (hydrocarbons) from the disposal site to the canal, according to the current situation and three alternative scenarios.
DOI: 10.17632/yjmdhjnwx7.4
title: Remittance inflows, democracy and economic freedom in developing countries: An approach based on democratic regimes

description: Replication Package Paper Title:
 Remittance inflows, democracy and economic freedom in developing countries: An approach based on democratic regimes
Authors: 
Relwendé SAWADOGO ( Université Joseph KI-ZERBO, Burkina Faso)
Gervasio SEMEDO ( Université de Tours , Frnace)
Pousseni BAKOUAN ( Université Virtuelle du Burkina )
 Date: December 9, 2025 
1. Overview 
This replication package provides all the publicly available data, code, and instructions required to reproduce the main empirical results of the above-mentioned research paper. The package is designed to facilitate transparency and enable independent verification of all statistical findings reported in the study.
DOI: 10.4211/hs.8ec269a1e512434c9acb76b74025e8f7
title: Suspended sediment concentration in Alpine rivers - annual regimes and extreme events

description: This dataset contains the data related to the research paper 'Suspended sediment concentrations in Alpine rivers: from annual regimes to sub-daily extreme events' by Van Hamel et al. (2025), which is published in the journal Hydrology and Earth System Sciences: https://doi.org/10.5194/egusphere-2024-3985. It contains the data from 38 gauging stations in Switzerland and Austria. The shapefiles with catchment delinieations and station locations are provided, including an overview of the static catchment characteristics. As the study adresses two main analyses, namely an analysis on the annual regimes and an analysis of extreme SSC events, this dataset also contains two folders. 

The folder 'Analysis_annual_regimes' provides the annual median SSC regimes for each catchment and the result of the clustering based on MST-indicators. The annual regimes of snowmelt, glacial melt, precipitation and discharge are also provided. All regimes are constructed based on 10-12 years of data (2009-2023) and are defined as the 50th percentile of the mean daily values, smoothed over a 30-days time window. 

The folder 'Analysis_extreme_events' gives the extracted extreme SSC events per station. Extreme SSC events are defined as events for which the peak value exceeds the locally defined 99th percentile threshold in the hourly time series. For each extracted extreme event, the event characteristics are provided, such as the start-/end-date of the event, the duration, peak SSC value, rainfall/snowmelt/glacial melt in the 24 hours prior to the peak SSC, and antecedent conditions like the snowcover and soil moisture prior to the event. 

For an extended explanation of the data sources, methodology and data analyses, we refer to our research paper.
DOI: 10.4211/hs.2c4a324dbe0d487690b7b79eb0bfd618
title: SWMM Model-City of Fredericksburg

description: Fredericksburg is a compact urbanized area situated between the Piedmont and Coastal Plain physiographic provinces of Virginia. A canal runs along the sub-basin, originally owned by the Virginia Electric Power Company, which extended from a water intake on the Rappahannock River, upstream of the former Embry Dam, and discharged back into the river. Although the canal still follows its original course, the upstream dam is now blocked, so the only water entering the canal comes from runoff within the upstream drainage basin or is pumped directly from the Rappahannock River. Figure 2 shows the location of under study subbasin covering 0.82 km².
This is the SWMM model including 74 sub-catchments, 156 conduits (links), and 156 nodes (junctions) to conduct a continuous rainfall-runoff simulation.
DOI: 10.4211/hs.f0a31fbc3de148a98deb36795b4fac53
title: Code and data for "Machine learning surrogates for efficient hydrologic modeling: Insights from stochastic simulations of managed aquifer recharge"

description: This repository contains the data and code associated with the paper "Machine Learning Surrogates for Efficient Hydrologic Modeling: Insights from Stochastic Simulations of Managed Aquifer Recharge" by Dai et al. (2025) in the Journal of Hydrology (https://doi.org/10.1016/j.jhydrol.2024.132606). The study evaluates a hybrid modeling framework that combines process-based hydrologic simulations (with the integrated hydrologic code ParFlow-CLM) and machine learning (ML) surrogates to efficiently simulate managed aquifer recharge. This repository includes: 

1) Sample ParFlow-CLM output for all three simulation stages
2) PyTorch dataset modules and utility functions that construct PyTorch tensors from raw ParFlow-CLM outputs
3) PyTorch modules to implement each of the eight ML architectures described in the paper (CNN3d, CNN4d, U-FNO3d, U-FNO4d, ViT3d, ViT4d, PredRNN++, and a CNN autoencoder)
4) PyTorch modules for custom layers implemented in each architecture
5) A PyTorch module that implements a normalized L2 loss function
6) Scripts to train and evaluate each surrogate architecture, including the autoencoder

Though this repository only contains sample ParFlow-CLM simulation output, complete ParFlow output files for all simulations used in the paper are available to the public in a separate repository (https://doi.org/10.25740/hj302gv2126).
DOI: 10.4211/hs.fd7af4fbf5444a2e828fa5e837da752c
title: Data for "Contact Angle Impacts on Multiphase Displacement in Fractured Porous Media: A Microfluidic Study"

description: Multiphase displacement in fractured porous media is critical for various subsurface processes. Recent studies have demonstrated the significant role of contact angle in determining displacement regimes in homogenous porous media, yet the understanding of its impacts on flow in fractured porous media remains insufficient. We conduct microfluidics experiments to study the combined impacts of contact angle, fracture aperture, and capillary number on displacement patterns in fractured micromodels. Results show transitions from matrix-preferential flow to fracture-preferential flow and finally to fracture flow even when contact angles are much smaller than 90. Aperture-dependent phase diagrams are proposed to predict the displacement patterns at varying capillary numbers and contact angles. Pore-scale observations suggest that the transition of flow regimes is controlled by pore-scale mechanisms which constrain the crossflow from the fracture to the matrix. This study provides physical insights on incorporating contact angle into the prediction of flow in complex fractured porous media.
DOI: 10.4211/hs.9776693b9f9244b4b4468a5264bfe7e2
title: Sage Lot Pond Ra Isotope Data 2018 - 2019

description: This resource contains Ra isotope data from Sage Lot Pond, part of the Waquoit Bay National Estuarine Research Reserve, from the years 2018 - 2019. Data includes marsh porewater and brackish groundwater Ra-224 and dissolved inorganic carbon concentrations, and sediment-bound Ra-224 and Th-228 specific activities. These data have been used to quantify marsh porewater exchange and dissolved inorganic carbon export.
DOI: 10.4211/hs.467fe5464dbc4273aa738e74d6b66f93
title: Hydraulic relationships and depth measurements in the model evaluation of Stage 0 treatment on juvenile spring Chinook in the South Fork McKenzie River, Oregon

description: Low-tech river habitat restoration techniques, including Stage 0 treatments, are increasingly applied but often lack robust evaluation of their effects and benefits. In 2018, one kilometer of the South Fork McKenzie (SFMK) River OR was modified to Stage 0 conditions for the benefit of ESA-listed Chinook salmon by raising the incised channel to the geomorphic grade line, reconnecting relic side channels, increasing floodplain connectivity, and distributing large wood throughout the reach. Field observations indicated depths and velocities were lower at the treated site than at the untreated site. To understand how these changes in physical habitat may translate into changes in juvenile Chinook length, abundance, and emigration timing, this study combined field observations with the individual-based model inSALMO. This dataset provides the field observations of HOBO depth measurements and their locations, as well as hydraulic relationships of discharge and depth, and discharge and velocity. The relationships were developed based on both point measurements of velocity with an ADV and point measurements of depth using a staff gauge and continuous HOBO depth data.
DOI: 10.4211/hs.e5a4fefc9bfa428cb6f32fcf57d3554f
title: Yakima River Basin Wellbeing Interviews

description: Interviews were conducted in 2023 as part of a NSF-funded project to assess community wellbeing in communities in the Yakima River Basin in Washington, US. In addition to assessing factors that generally affect community wellbeing, additional inquiry focused on food security and sovereignty, water resource and snowpack conditions, environmental change, demographic change, and regional connections and how these dimensions influence community wellbeing. Focal communities were Yakima, Ellensburg, Tieton, Cle Elum, and Roslyn. Interviews were conducted with key informants and general community residents. Individuals were recruited through criterion and snowball sampling as well as public flyers and social media posts (for community interviews). Interviews were recorded and transcribed using Otter.ai. All interview transcripts have been redacted or summarized to protect the identity of participants. Further details can be obtained from the project authors.
DOI: 10.4211/hs.d830f1f055aa490992b7a61dba57171e
title: Water isotopes of lysimeters and precipitation in 53 forest plots across Switzerland

description: We present stable isotope measurements (d18O and dD) of 3698 soil lysimeter waters from 53 forest plots in Switzerland collected between 2019 and 2022. We interpolated stable isotopes of precipitation (d18O and dD) for the 53 forest plots from isotope data collected by the Swiss Federal Office for the Environment (FOEN) National Groundwater Monitoring (NAQUA) ISOT module. Precipitation isotope data was interpolated for forest plot locations following the method in (Allen et al., 2018). Additionally, we include Matlab codes that will fit sinusoidal functions to data from each site for precipitation, and each site and soil depth for lysimeters. Lastly, there is a spreadsheet showing the calculations of young water fractions from the sinusoidal function amplitudes.
DOI: 10.4211/hs.c5411ee6e1f54b9f9c7beaa9263f6969
title: Accompanying model files for Aranda Reina et al. (2025, GCA) "Quantifying the impacts of exogenous dust inputs to the critical zone using reactive transport modeling"

description: This repository contains supporting material for Aranda Reina, C., Bouchez, J. and Druhan, J.L. (2025) "Quantifying the impacts of exogenous dust inputs to the critical zone using reactive transport modeling" Geochimica et Cosmochimica Acta, https://doi.org/10.1016/j.gca.2025.01.023
DOI: 10.4211/hs.a1e41cd27df54ecf926443b395fd18ef
title: Patterns and Predictors of Residential Indoor Water Use Across Major US Cities

description: This resource includes city-level aggregated residential water consumption data from single-family households and analysis code accompanying the manuscript "Patterns and Predictors of Residential Indoor Water Use Across Major US Cities". The dataset comprises daily water consumption patterns aggregated from 26,441 single-family households across 39 major US metropolitan statistical areas in the conterminous US. While the original data was collected at 5-second intervals using Flume's smart water monitoring sensors at individual households, this public dataset provides city-level daily aggregations to protect privacy. The data captures both total indoor water use and specific end uses (e.g., shower and toilet), along with aggregated household characteristics (e.g., house size and value), appliance presence (e.g., humidifiers and reverse osmosis systems), and daily climate variables (temperature, precipitation), the latter obtained from the Parameter-elevation Regression on Independent Slopes Model (PRISM). Two Jupyter Notebooks are included: one implementing functional data analysis to identify distinct usage patterns across city clusters, and another executing mixed-effects random forest analysis to investigate the influence of household features, appliances, and weather on water consumption patterns.
DOI: 10.4211/hs.19e8b36afa614684bbb33bce426983d7
title: The Floridan Aquifer Collaborative Engagement for Sustainability (FACETS) project SWAT-MODFLOW model of the Santa Fe River, Florida

description: This resource contains the SWAT-MODFLOW model for the Santa Fe River of North Central Florida used in the Floridan Aquifer Collaborative Engagement for Sustainability (FACETS) project. The FACETS project was funded by the USDA National Institute of Food and Agriculture (Award Number: 2017-68007-26319) to promote the economic sustainability of agriculture and silviculture in North Florida and South Georgia while protecting water quantity, quality, and habitat in the Upper Floridan Aquifer and the springs and rivers it feeds (https://floridanwater.research.ufl.edu/). SWAT-MODFLOW couples the Soil and Water Assessment Tool (SWAT) to the U.S. Geological Survey modular finite-difference flow model (MODFLOW) to produce an integrated surface-groundwater model (https://swat.tamu.edu/software/swat-modflow/). Within SWAT-MODFLOW, SWAT handles most surface and soil processes, MODFLOW handles groundwater processes, and both models interact to simulate stream flows.

The SWAT portion of this model was developed using USGS digital elevation models, the 2017 Statewide Land Use / Land Cover map of the Florida Department of Environmental Protection (FDEP), Florida Department of Health septic tank data, STATSGO soil maps, the Public Land Survey System, and NLDAS weather data. Agricultural and silvicultural production land uses and management practices implemented within SWAT were co-developed with stakeholders in a participatory modeling process (PMP) and included row crops (corn-peanut and corn-carrot-peanut rotations) forage crops (bermudagrass hay and pasture), and production forestry (slash pine). Additional land uses implemented in SWAT included urban, low-density residential, septic tanks, rapid infiltration basins, fertilized lawns, natural grass, wetlands,  and open water. The MODFLOW portion of the model was developed from the larger North Florida Southeast Georgia (NFSEG) MODFLOW model (version 1.0)  as developed by the St John’s River and Suwannee River Water Management Districts. A detailed description of the complete model development process can be found in a document within this resource.

Calibration of the model was conducted using a Bayesian Sample-Importance-Resample method. Data used in the model calibration included: 1) USGS discharge data (Stations 02322500, 02322700, 02322800, and 02321500); 2) USGS operational Simplified Surface Energy Balance (SSEBop) actual evapotranspiration; and 3) Upper Floridan Aquifer potentiometric surfaces from FDEP. The calibration period of the model was 2010-2018 and the validation period was 1980-2009.
DOI: 10.4211/hs.88b6f56954ee48e286a510e11697c1e0
title: Kansas River Flow Event Characteristics and Nitrate C-Q Responses

description: Data and analysis of event-scale nitrate C-Q relationships in the Kansas River Basin, USA for 215 flow events observed from October 2013 - August 2022. Data includes characteristics of each flow event such as outlet discharge statistics, spatial distributions of precipitation, outflows from major reservoirs in the basin, and nitrate concentration dynamics summarized into common C-Q indices. Scripts record all of the steps used in analyzing this data in preparation for a manuscript submitted for journal publication. See the readme.txt for general usage instructions.
DOI: 10.15468/dl.x58p8u
title: Occurrence Download

description: A dataset containing 683343 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is iNaturalist Research-grade Observations",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Country is one of (Canada, Mexico, United States of America)",
 "EventDate is greater than or equal to 2025-10-17",
 "EventDate is less than or equal to 2025-11-16",
 {
 "not" : {
 "Issue" : [
 "is one of (Basis of record invalid, Coordinate reprojection failed, Coordinate reprojection suspicious, Coordinate precision invalid, Coordinate uncertainty meters invalid, Country mismatch, Country invalid, Geodetic datum invalid, Presumed swapped coordinate, Presumed negated longitude, Presumed negated latitude, Country coordinate mismatch)"
 ]
 }
 },
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 683343 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0049989-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.4211/hs.63069c38b2184b9197da1d93ae9910ac
title: An Internal Validation Assessment of Scale Across Social Vulnerability Index Model Structures

description: Proactive and equitable planning for natural hazards is vital, as these events can cause mass destruction and severely impact livelihoods. To aid hazard preparedness decision-making, organizations can utilize tools like a social vulnerability index (SVI), developed to identify vulnerable populations to ensure that those with inherent social inequities are considered in planning. However, SVI construction involves various approaches that introduce epistemic uncertainty, potentially affecting resulting decisions. While progress has been made in understanding how construction processes affect index results, the spatial elements of SVI models are underexplored, with conflicting views on the influence of scale selection. This study addresses this gap by evaluating how changes in the selection of scalar properties (areal units and geographic boundaries) and indicator selection impact SVI ranks for two indices, the Center for Disease Control SVI (CDC SVI) and the University of South Carolina Hazards Vulnerability and Resilience Institute SVI (HVRI SoVI). We examine these changes across three model structures: hierarchical with z-score standardization, hierarchical with percentile ranking normalization, and inductive with z-score standardization, employing an uncertainty and sensitivity analysis. When altering scalar and indicator properties, we found the inductive model less robust than hierarchical models. We also observed indicator selection as the primary driver of variability in SVI ranks across all model structures. However, we found significant yet mixed effects of scale selection and interaction effects on variability in SVI ranks. Our findings emphasize the critical role of scale selection in shaping index outcomes and underscore the need for critical evaluation in SVI creation to advance equitable hazard management.
DOI: 10.4211/hs.b8ba5a1633004e45b8a9f235d670c35d
title: CIROH HydroLearn Course on Model Structure Uncertainty

description: This resource provides the necessary code to run all exercises of the CIROH_HydroLearn Course "Model structure uncertainty with MARRMoT".
The course can be found here: https://edx.hydrolearn.org/courses/course-v1:CIROH_HydroLearn+TUD_MHYD03_MARRMoT+2025/about

Please note that this resource includes only a subset of MARRMoT model structures and four workflow examples on how to use MARRMoT.
It is not a full version of the modelling toolbox.
DOI: 10.4211/hs.fa77d6ea649843578aaa7a98e0c2901d
title: Surface Flux Equilibrium Theory-Derived Evapotranspiration Estimate Outperforms ECOSTRESS, MODIS, and SSEBop products

description: Evapotranspiration (ET) is a critical process influencing energy, water, and carbon cycles. Numerous methods have been developed to estimate ET accurately and robustly across diverse scales. Many of these methods are constrained by reliance on remote sensing data, which is prone to gaps, or by the need for model calibration and training. This study evaluates the performance of the calibration-free Surface Flux Equilibrium Theory (SFET) for ET estimation at 33 Ameriflux sites in the continental USA. SFET-derived ET estimates are intercompared with widely used continental remote sensing products, including ECOSTRESS, MODIS, and SSEBop. Results indicate that SFET consistently outperforms these ET products. SFET’s performance is found to be better under wet conditions and clear skies, with reduced accuracy under arid and high evaporative stress conditions. Overall, SFET exhibits significant potential for providing accurate, continuous, long-term ET estimates, paving the way for operational application in uninstrumented regions over large scales.
DOI: 10.17632/mszrp64w86
title: Quadro de Análise Figuras – Livro Didático

description: Quadro de Análise Figuras – Livro Didático “Ciências: Tecnologias, Sociedade e Ambiente” - Martha Reis, Volume II - 7º ano do Ensino Fundamental. Foram analisadas 383 sob as categorias sequência didática, iconicidade, funcionalidade, relação com o texto e etiquetas verbais.
DOI: 10.4211/hs.0943ab0921404a3a84fee3e746de78c9
title: Data and Code for “Subsurface Water Storage Capacity Mediates Tree Ring Width Sensitivity to Precipitation in Seasonally Dry Ecosystems"

description: Supplementary Data and Code for the Manuscript:
"Subsurface Water Storage Capacity Mediates Tree Ring Width Sensitivity to Precipitation in Seasonally Dry Ecosystems"

This supplement includes a Python notebook designed to process and analyze tree-ring data. The key functionalities of the notebook are:

 • Extracting tree-ring width data from .rwl files and converting it into a structured DataFrame:
 • Using Google Earth Engine repositories to calculate Spearman correlations between tree-ring width and winter precipitation.
 • Categorizing sites into precipitation-limited, intermediate, and storage-capacity-limited categories.
 • Generating all plots featured in the manuscript.

The analyses were conducted using Google Colab, a free cloud-based environment, ensuring accessibility and reproducibility.

Additionally, separate folders contain the tree-ring dataset and root-zone water storage capacity (accounted for snow) files used in this study.
DOI: 10.17632/mszrp64w86.1
title: Quadro de Análise Figuras – Livro Didático

description: Quadro de Análise Figuras – Livro Didático “Ciências: Tecnologias, Sociedade e Ambiente” - Martha Reis, Volume II - 7º ano do Ensino Fundamental. Foram analisadas 383 sob as categorias sequência didática, iconicidade, funcionalidade, relação com o texto e etiquetas verbais.