cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.4211/hs.f1c83ff830bb47c5a7c84e6f5217ea5c
title: Water exposure time distributions controlled by freshwater releases in a semi-enclosed estuary published in Water Resources Research WRR 2025 data

description: This dataset supports the hydrodynamic modeling study described in "Water exposure time distributions controlled by freshwater releases in a semi-enclosed estuary," published in Water Resources Research (2025). The model was developed using the Delft3D Flexible Mesh (D3DFM) system to simulate circulation dynamics in the Lake Pontchartrain Estuary (LPE). This repository includes all files needed to reproduce the model for the years 2011, 2014, and multiple hydrodynamic scenarios. These files include the unstructured computational grid, boundary and initial condition inputs, meteorological and hydrological forcings, and scenario-specific discharge time series. Water level and velocity observations from moored sensors are also provided for additional model validation.

Model scenarios reflect filtered 2014 conditions, which were selected as a representative year based on a historical analysis of wind and river discharge records. Scenario definitions, calibration performance, and modeling methodology are fully described in the associated publication. Analysis scripts and post-processing tools are available via GitHub: https://github.com/caitlinturner/turner2025WRR.
DOI: 10.4211/hs.f74e78c4659f4afab61f3e624b4fc720
title: Map Layers for Flood Environmental Vulnerability Mapping in the Guatiquía River Watershed

description: Flooding is one of the most destructive natural hazards in tropical mountain basins, yet detailed vulnerability assessments remain scarce where observational data are limited. In this study, we compiled and harmonized high‐resolution geomorphological, hydroclimatic, land‐cover, soil, and population datasets for the 1,777 km² Guatiquía River watershed in the Colombian Andes, covering the period 1991–2022 (DEM at 12.5 m, CHIRPS precipitation at 5.5 km, ERA5 reanalysis at 25 km, MapBiomas land cover at 30 m, and IGAC soil maps) ArticleGuatiquiaRiverWa…. We derived key conditioning factors: slope, Topographic Wetness Index (TWI), Curve Number (CN3), population density, and an Extreme Precipitation Susceptibility Index (EPSI) composed of six ETCCDI climate extremes, and applied a Frequency Ratio (FR) model to quantify their spatial correlation with historical flood occurrences. The resulting vulnerability map highlights the middle‐lower basin, particularly around Villavicencio, as the most susceptible zone, driven by flat terrain, high moisture accumulation, low infiltration (CN3 > 70), and recurrent intense rainfall. Model validation via Receiver Operating Characteristic (ROC) analysis yielded an Area Under the Curve of 0.82, demonstrating robust predictive performance. This work provides the first comprehensive, data‐driven flood vulnerability assessment for the Guatiquía watershed and offers a transferable methodology for other data‐scarce Andean basins. All processed datasets and derived layers are publicly available to support regional water‐resources management and climate‐adaptation planning.
DOI: 10.17632/p3jpx49c2x
title: Conjunto de datos sobre comportamiento financiero en estudiantes de pregrado en Chile

description: Datos anonimizados de 210 estudiantes de pregrado de la Facultad de Economía, Gobierno y Comunicaciones de la Universidad Central de Chile (segundo semestre 2025) que completaron el instrumento FB-13 de comportamiento financiero (13 ítems Likert de 5 puntos, estructura trifactorial validada previamente en Honduras).

Variables incluidas (27 en total):
- 10 sociodemográficas: edad, género, residencia urbana/rural, estado civil, situación laboral, experiencia laboral (años), paternidad/maternidad, labores de cuidado, carrera y año académico
- 13 ítems individuales del FB-13
- 3 puntuaciones dimensionales calculadas (Planificación y control, Ahorro y preparación, Cumplimiento de obligaciones)
- Índice de Comportamiento Financiero global – ICF (media = 3.45, DE = 0.80)

Consistencia interna en esta muestra: α de Cronbach = 0.89.

Los datos están limpios y listos para:
– Análisis descriptivos y pruebas de diferencias de grupo.
– Correlaciones y regresiones con variables sociodemográficas.
– Comparaciones directas Chile vs. Honduras.
– Meta-análisis y estudios de invarianza del FB-13 en América Latina.
– Replicaciones en otras poblaciones universitarias.

Archivos suministrados:
- Cuestionario FB-13 Chile.pdf 
- Datos Crudos FB-13 Chile Excel.xlsx (23 variables)
- Datos Procesados FB-13 Chile SPSS.sav (27 variables: incluye 3 dimensiones + ICF calculados)
- Diccionario de Variables.pdf
- Readme.pdf
- Sintaxis SPSS FB-13 Chile.sps (100 % reproducible)
- Tablas y Figuras Descriptivas.pdf.

Licencia: Creative Commons CC-BY 4.0.
DOI: 10.4211/hs.91473cf3c28c4eacaba44ed2d18c1412
title: Basin Characteristics and Streamflow Statistics for the USGS Stream Gage Fenton River at Mansfield, CT – 01121330 Watershed

description: This resource contains detailed information about the basin characteristics and streamflow statistics for the USGS Stream Gage Fenton River at Mansfield, Connecticut (Station ID: 01121330). These data, including streamflow from 2010 to 2025, have been obtained from the USGS StreamStats web application on June 11, 2025. This resource was created during the demo session of the National Water Center Summer Institute Program and the goal was to access data, share it on HydroShare and describe it.
DOI: 10.17632/p3jpx49c2x.1
title: Conjunto de datos sobre comportamiento financiero en estudiantes de pregrado en Chile

description: Datos anonimizados de 210 estudiantes de pregrado de la Facultad de Economía, Gobierno y Comunicaciones de la Universidad Central de Chile (segundo semestre 2025) que completaron el instrumento FB-13 de comportamiento financiero (13 ítems Likert de 5 puntos, estructura trifactorial validada previamente en Honduras).

Variables incluidas (27 en total):
- 10 sociodemográficas: edad, género, residencia urbana/rural, estado civil, situación laboral, experiencia laboral (años), paternidad/maternidad, labores de cuidado, carrera y año académico
- 13 ítems individuales del FB-13
- 3 puntuaciones dimensionales calculadas (Planificación y control, Ahorro y preparación, Cumplimiento de obligaciones)
- Índice de Comportamiento Financiero global – ICF (media = 3.45, DE = 0.80)

Consistencia interna en esta muestra: α de Cronbach = 0.89.

Los datos están limpios y listos para:
– Análisis descriptivos y pruebas de diferencias de grupo.
– Correlaciones y regresiones con variables sociodemográficas.
– Comparaciones directas Chile vs. Honduras.
– Meta-análisis y estudios de invarianza del FB-13 en América Latina.
– Replicaciones en otras poblaciones universitarias.

Archivos suministrados:
- Cuestionario FB-13 Chile.pdf 
- Datos Crudos FB-13 Chile Excel.xlsx (23 variables)
- Datos Procesados FB-13 Chile SPSS.sav (27 variables: incluye 3 dimensiones + ICF calculados)
- Diccionario de Variables.pdf
- Readme.pdf
- Sintaxis SPSS FB-13 Chile.sps (100 % reproducible)
- Tablas y Figuras Descriptivas.pdf.

Licencia: Creative Commons CC-BY 4.0.
DOI: 10.4211/hs.6811679ffd7c4cbabeac9d520026a7b4
title: Arizona Soil Moisture Infiltration Index

description: This raster data layer was created to assist in mapping suitability for groundwater recharge potential throughout the State of Arizona.

The Soil Moisture Infiltration Index is a custom index created to discern where on the landscape water is likely to infiltrate into the soil, it is a weighted linear combination of Topographic Relative Moisture Index (TRMI) and Soil Saturated Hydraulic Conductivity (sKsat).

30m Resolution
DOI: 10.4211/hs.1c0ca3f0738b4f758245a5497f8a5d74
title: Experimental data for radial displacement of non-Newtonian fluids in a rough fracture

description: This resource contains data for visualization experiments of shear-thinning fluids radially displacing silicone oil in a rough fracture, including videos and Excel files. The movie files show the evolution of displacement interface for all the radial displacement patterns. The patterns include : I, capillary fingering (CF); II, compact displacement (CD); III, viscous fingering (VF). The fracture aperture field is measured by using the light transmission method and provided in the spreadsheet file format. The last spreadsheet file includes the data for fractal dimension (Df) and displacement efficiency (Si) of the invading shear-thinning fluids, as a function of polymer concentration (Cp) and flow rate (Q) at the end of the experiments. Each experiment was repeated three times to ensure reproducibility of the results.
DOI: 10.17632/b6cytvchz4
title: Regolith Thickness Modelling Dataset, Southern Zone of Rejuvenated Drainage (Western Australia)

description: This repository contains the full dataset and model workflow used to predict regolith thickness across the Southern Zone of Rejuvenated Drainage (SZRD), Western Australia. It integrates legacy borehole observations, cleaned and harmonised datasets, machine learning and spatial prediction surfaces. The data support analyses of subsurface architecture and landscape evolution in deeply weathered terrains.

1. Borehole data (ground_truthing_points.csv):
Cleaned dataset (with extracted raster point values). Data sourced from the following: 
• WIR: https://experience.arcgis.com/experience/c79aedd210de425a95352f0c5adf29e5/page/WIR-Map-Viewer-Home
• GSWA HyLogger: https://dasc.dmirs.wa.gov.au/home?productAlias=HyloggerDrillholes.
• GSWA Core Library: https://dasc.dmirs.wa.gov.au/home?productAlias=CoreLibraryDrillholes.
• WAROX: https://dasc.dmirs.wa.gov.au/home?productAlias=WAROX%20Lithology.

2. Environmental covariate inputs (environmental_covariates.zip):
SZRD GeoTIFF rasters. These rasters were made with QGIS 3.3.4. tools. Full raster dataset has not been included due to file size. Source of raw data detailed in the Supplementary Materials published with Weller et al. (in review).

3. R script (regolith_thickness_gbm.Rmd):
R Markdown file with the workflow outlined in Weller et al. (in review).

4. Model output (gbm_model_outputs.zip):
The 90% prediction interval; the median prediction surface.
DOI: 10.17632/b6cytvchz4.3
title: Regolith Thickness Modelling Dataset, Southern Zone of Rejuvenated Drainage (Western Australia)

description: This repository contains the full dataset and model workflow used to predict regolith thickness across the Southern Zone of Rejuvenated Drainage (SZRD), Western Australia. It integrates legacy borehole observations, cleaned and harmonised datasets, machine learning and spatial prediction surfaces. The data support analyses of subsurface architecture and landscape evolution in deeply weathered terrains.

1. Borehole data (ground_truthing_points.csv):
Cleaned dataset (with extracted raster point values). Data sourced from the following: 
• WIR: https://experience.arcgis.com/experience/c79aedd210de425a95352f0c5adf29e5/page/WIR-Map-Viewer-Home
• GSWA HyLogger: https://dasc.dmirs.wa.gov.au/home?productAlias=HyloggerDrillholes.
• GSWA Core Library: https://dasc.dmirs.wa.gov.au/home?productAlias=CoreLibraryDrillholes.
• WAROX: https://dasc.dmirs.wa.gov.au/home?productAlias=WAROX%20Lithology.

2. Environmental covariate inputs (environmental_covariates.zip):
SZRD GeoTIFF rasters. These rasters were made with QGIS 3.3.4. tools. Full raster dataset has not been included due to file size. Source of raw data detailed in the Supplementary Materials published with Weller et al. (in review).

3. R script (regolith_thickness_gbm.Rmd):
R Markdown file with the workflow outlined in Weller et al. (in review).

4. Model output (gbm_model_outputs.zip):
The 90% prediction interval; the median prediction surface.
DOI: 10.4211/hs.d6cfaee5c5994ae2875fd957453dbfcf
title: 2022 and 2023 Net Accumulation, Snow Depths and Densities - Big Cottonwood, UT

description: Transects are located in Big Cottonwood Canyon (40.641N, 111.689W). Snow depth transects and density observations were recorded near April 1st in 2022 and 2023. Snow depths were recorded to the nearest centimeter using a probe inserted vertically into the snowpack to the ground surface. 5-point, 1-m spacing depth measurements were taken along each transect at 2-m spacings along the north-south and east-west orientations. Snow densities were taken in varying vegetation environments during snow depth surveys using a federal sampler.
DOI: 10.15468/dl.ewme7z
title: Occurrence Download

description: A dataset containing 571 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON ((-5.377681 40.392137, -5.379666 40.431817, -5.431979 40.431817, -5.429975 40.392137, -5.377681 40.392137))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 2015",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 571 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0050006-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.4211/hs.8b67f1177d6547e89ce60408e2b34cad
title: Coastal soil temperature, resistivity, and porewater salinity: Prudhoe Bay, Alaska 2022-2024

description: This resource includes a time series of multi-depth soil temperature, five electrical resistivity tomography (ERT), two electromagnetic induction (EMI) imaging, thaw depth, elevation, and soil porewater salinity data from several field campaigns between July 2022 and September 2024 at a coastal tundra site near Prudhoe Bay, Alaska.
DOI: 10.15468/dl.nb8ewv
title: Occurrence Download

description: A dataset containing 18319 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Primolius maracana"
 ]
}

 The dataset includes 18319 records from 36 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0050007-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.4211/hs.8af975cfc4df42708598444df353d661
title: The Role of Bank Collapse and Root Mat on Marsh Edge Retreat

description: This dataset includes a marsh edge retreat model that incorporates the effects of bank collapse and root mat structure, along with observational data from the Shangsha Wetland in the Yangtze Estuary, associated with the paper "The Role of Bank Collapse and Root Mat on Marsh Edge Retreat."
DOI: 10.4211/hs.44716e97517543889d2197aff6dd2cc3
title: Time-varying Streamflow and Fractals Dataset for United States

description: The dataset includes daily, weekly, monthly, quarterly, and yearly streamflow records with fractal and chaos characteristics for 2,899 USGS gauging stations in the U.S. and Puerto Rico (1970–2023) for three flow regimes: highest, average, and lowest. The series are available in various formats, including versions with incorrect or missing data that have been interpolated and filled, as well as the raw format. he available fractal and chaos metrics include Hurst exponents (calculated using rescaled range and detrended fluctuation analysis), multifractality dimension, entropy, Morlet wavelets (which consist of max, mean, and L2-norm modulus across three bands: low, mid, and high), Lyapunov exponents, and RQA analysis (which covers recurrence rate, determinism, laminarity, and trapping time). Fuzzy C-means clustering categorized the gauges into three dynamic classes with membership probabilities included. The dataset includes raw and processed series, dynamics metrics, and cluster probabilities matrix. The dataset supports hydrological modeling, regional classification, benchmarking, and machine learning applications. A visual map-based proxy is available.
DOI: 10.15468/dl.sga83c
title: Occurrence Download

description: A dataset containing 47535 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is France",
 "Geometry POLYGON((4.39571 44.35216,4.47717 44.35216,4.47717 44.40169,4.39571 44.40169,4.39571 44.35216))",
 "HasGeospatialIssue is false",
 "PublishingOrg is 1928bdf0-f5d2-11dc-8c12-b8a03c50a862"
 ]
}

 The dataset includes 47535 records from 171 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0050005-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.4211/hs.b9161d8b3c9842b0ab60339d6a121e86
title: Anomalous sample detection tool (ASDT_Ver_1.0.0) with supporting dataset

description: This resource contains the data and code used in the article 
"Anomalous sample detection tool and its application in identifying interbasin groundwater flows in the Yarlung Zangbo River Basin, Tibetan Plateau."

The dataset is a compilation from previously published sources, as cited in the associated article. 
Files include Data_Tracer.csv, Data_Location.csv, and Complete_Datafile.xlsx. 
The ASDT_Ver_1.0.0.m file provides a MATLAB implementation of the anomalous sample detection tool.
DOI: 10.15468/dl.m73uje
title: Occurrence Download

description: A dataset containing 2628 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Aquila chrysaetos",
 "Year 1000-2025"
 ]
}

 The dataset includes 2628 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0050008-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.4211/hs.74c8ad5a706a446a8f8d0cdfcf05e523
title: Maximizing the potential benefits of beaver restoration for fire resilience and water storage

description: This study used the Beaver Restoration Assessment Tool (BRAT) to estimate beaver dam capacity in streams in the Sierra Nevada of California. We used BRAT model results to estimate potential water storage and fire resilience associated with potential beaver dam capacity in the region. We used this analysis to identify priority watersheds for beaver restoration and reintroduction. This code replicates our analysis of BRAT model results.
DOI: 10.4211/hs.aca9f19613894b6e8cbd53d99424b1bf
title: mQM model outputs (fluxes and states) for the Rhine and Elbe basins and subbasins

description: This reporsitoy contains simulated data from the mQM model for the Rhine and Elbe basins and 146 subbasins . The folders and their contents are organized as follows:

1. "with_point_source_downscaled_population_data"
   Simulated states and fluxes from the mQM model for the Elbe and Rhine and their subbasins with point sources downscaled to the grid level using population data

2. "with_point_source_downscaled_wwtp_data"
   Simulated states and fluxes from the mQM model for the Elbe and Rhine and their subbasins with point sources downscaled to the grid level using waste water treatment plan data

3. "without_point_sources"
   Simulated states and fluxes from the mQM model for the Elbe and Rhine and their subbasins with point sources

There are 148 output files in each folder (for main Rhine, Elbe and their subbasins), with the file named by the basin ID

The basin ID and location (Rhine or Elbe subbasin can be found in the "Basin_lookup.txt" file

The output files are formated as follows:
  Each behavioral simulations takes 173 rows (including the header). In total, each files has 173*100 rows 
  The column name of are the output variables and units

The GIS file of subbasins and gauging stations can be obtained from the QUADICA directory
  https://doi.org/10.4211/hs.26e8238f0be14fa1a49641cd8a455e29
DOI: 10.4211/hs.874a10004fad4f82a8ee6bebe336dddf
title: Data and Code for “Subsurface Storage Capacity Controls on Tree Ring Sensitivity to Precipitation"

description: This supplement includes a Python notebook and an R file that reproduce the figures and analyze the tree-ring and climate data used in the manuscript. 

In order to execute the code, users should have an Earth Engine account and obtain the raw CRN files from the NOAA National Centers for Environmental Information repository (https://www.ncei.noaa.gov/pub/data/paleo/treering/chronologies), available as a compressed archive file (itrdb-v713-usa-crn.zip).
DOI: 10.4211/hs.1732aedbe38d49f0a800ccce7c4083d2
title: Scaling streamflow inputs to lakes within the ISIMIP framework (connecting Global Water and Lake sectors, ISIMIP3a)

description: Gridded water fluxes simulated by the global hydrological model WaterGAP 2.2e, as part of the standard model evaluation experiment (obsclim_histsoc_default) under ISIMIP Phase 3a, were used to estimate streamflow for 71 lake catchments across Sweden. This dataset provides monthly and annual streamflow (in m³/s) for each of the 71 representative lake catchments, covering the historical period from January 1, 1901, to December 1, 2019. These lakes were selected to represent a broad range of hydrological and geographical conditions across Sweden and are consistent with the lake selection criteria of the ISIMIP Lake Sector Phase 3a.
DOI: 10.4211/hs.0c9c4c2fe8914690af8b3c8495503d7c
title: StreamPULSE Sensor Data and Metabolism Estimates for Rivers and Streams

description: Stream metabolism, encompassing gross primary production and ecosystem respiration, reflects the fundamental energetic dynamics of freshwater ecosystems. These processes regulate the concentrations of dissolved gases like oxygen and carbon dioxide, which in turn shape aquatic food webs and ecosystem responses to stressors such as floods, drought, and nutrient loading. Historically difficult to quantify, stream metabolism is now measurable at high temporal resolution thanks to advances in sensor technology and modeling. The StreamPULSE dataset includes high-frequency sensor data, metadata, and modeled estimates of ecosystem metabolism. This living dataset contributes to a growing body of open-access data characterizing the metabolic pulse of stream ecosystems worldwide.

To contribute to StreamPULSE, visit data.streampulse.org. All data contributed to StreamPULSE become public after an optional embargo period. Use this publication to access annual data releases, or use data.streampulse.org to download new data as they become available.
DOI: 10.4211/hs.cab7e68299704b7a83f7c8884c0bb241
title: Gaborone (Botswana) water isotope database

description: This database comprises a total of 399 random tap water samples collected/compiled across four seasonal campaigns (from Winter 2022 to Summer 2023/24) across Gaborone (Botswana) as well as rainfall (N=88), tap water (N=42; weekly), groundwater (N= 126), surface water (N= 105), and drinking water reservoir (N=48; weekly) samples. In addition, daily precipitation and mean daily temperature and clustering analysis results are also included.