cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.4211/hs.64302ec32fd24341a61f3a0825ee6422
title: Deep soil water reservoirs modulate land use and drought effects on the water budget of Amazon headwaters

description: The southeastern Amazon has been transformed by widespread land use and climate changes, altering the hydrologic cycle. In this seasonally dry tropical forest, the soil water reservoir plays a strong role in mediating the water balance by buffering forests during dry seasons and moderate droughts, as well as modulating runoff to streams. Few studies have examined the response of soil water reservoirs to large-scale forest loss in headwater regions, much less how these changes may influence catchment water balances during droughts. This study compares the water balance of forested and cropland watersheds in the headwaters of the Xingu River basin (Mato Grosso, Brazil). We combined measurements of stream discharge and soil moisture (from 0.3-8m depth) from the 2014-2018 water years, along with remotely sensed precipitation and evapotranspiration data, comparing normal precipitation years to an extreme drought year. Streams within agricultural catchments had four times higher discharge (29% of total precipitation) than in forested catchments (8%). During normal years, this difference was balanced by differences in evapotranspiration. We found that groundwater outflow – water that bypasses a catchment without reaching the stream – is a significant water export term under both landcovers (19% in forest; 26% in croplands). However, during drought years, this outflow disappears in forested catchments and decreases in agricultural catchments, suggesting enhanced groundwater uptake by vegetation that diminishes contributions to rivers downstream. Multiyear droughts projected under future climate changes could threaten the soil water reservoir, leaving forests without a critical resource and downstream communities vulnerable to streamflow loss.
DOI: 10.17632/kcn47247mx
title: Initial insights into using outline-based geometric morphometrics of the larval cephaloskeleton to identify forensically important calliphorids in Thailand

description: The geometric morphometric data underlying the results of the article "Initial insights into using outline-based geometric morphometrics of the larval cephaloskeleton to identify forensically important calliphorids in Thailand".
DOI: 10.17632/kcn47247mx.1
title: Initial insights into using outline-based geometric morphometrics of the larval cephaloskeleton to identify forensically important calliphorids in Thailand

description: The geometric morphometric data underlying the results of the article "Initial insights into using outline-based geometric morphometrics of the larval cephaloskeleton to identify forensically important calliphorids in Thailand".
DOI: 10.4211/hs.a6eb2a2c8ae746cf99d5d89a5ed2600b
title: Data set for "Numerical Simulation of Basin-Scale River Channel Migration Driven by Landscape Evolution"

description: This Dataset is for the paper "Prediction of basin-scale river channel migration based on landscape evolution numerical simulation"
Dataset for "observed river channel planform files of Kumalake river  in December 2007, February 2014, and December 2021 obtained based on the Google Earth Pro image platform. Satellite imagery: © Google Earth 2007, 2014, 2021". 
We provide a dataset that includes two parts: (1)observed river channel planform location images (JPEG format) along with the corresponding planar coordinates from December 2007, February 2014, and December 2021; and (2) Google Earth Pro project  files (KMZ format) of Kumalake river basin for the same three periods.
DOI: 10.4211/hs.ac6f9e551d934bd9b5706102f9a4cb5d
title: Modeling geologically complex volcanic watersheds for integrated water resources management - Dataset

description: This dataset supports the study titled "Modeling geologically complex volcanic watersheds for integrated water resources management," which presents a transferable and reproducible workflow for developing high-resolution 3D geological models for use in integrated surface–subsurface hydrological simulations. The workflow is demonstrated using the Mt. Fuji catchment in Japan—a region characterized by complex volcanic geology, active tectonics, and increasing stress on groundwater resources. The dataset includes all relevant model input files, exported hydrofacies surfaces, meshing outputs, and scripts used in the study. Specifically, the repository provides: (i) input files: digitized hydrofacies information as implemented in the NHM obtained directly from GETC and supplied as shapefiles, containing contour lines of the bottom bounding surface of each hydrofacies as well as polygons defining their horizontal extent ; (ii) 3D hydrofacies bounding surfaces in raster and DXF format, (iii) the 2D numerical mesh, and all the input configuration files for the HydroGeoSphere model used to run the simulations. The output files from the simulations are also availabe (Tecplot and Paraview-compatible files). These resources are intended to enable the visualization, reuse, adaptation, or extension of the modeling framework in similar volcanic or geologically complex regions. The dataset facilitates further work in groundwater resource evaluation, model calibration, scenario analysis, and environmental risk and hazard assessment.
DOI: 10.4211/hs.a1018cc65aa341deb3b0644023d793db
title: 2025 Summer Institute DensiFIMcation Data

description: This is the GIS data for our 2025 Summer Institute Project: "Estimating Flood Inundation Using a Densified Stream Network in Travis County, TX."

We'd like to thank Dr. David Maidment, Dr. Matt Bartos, and Dr. Dean Djokic for assembling most of the data in this resource. They can be found at these hydroshare links:
Maidment, D. (2025). Theme 4 Data Revised, HydroShare, http://www.hydroshare.org/resource/c95e654312204ce0b4d8e31e71cd4354
Maidment, D. (2025). Dean Djokic Material, HydroShare, http://www.hydroshare.org/resource/23aa7866ab614687811bb70ffb13fcfe
Maidment, D. (2025). DEM for Shoal Creek and Waller Creek Catchments, HydroShare, http://www.hydroshare.org/resource/edcf0088e4c04ec888498d2854386416


Code for our analysis can be found here:
https://github.com/oladojavictor/DensiFIMcation
DOI: 10.4211/hs.e9ab3f316a4d400da5af994e0dc062a7
title: HidroCL Database: A Comprehensive Hydrometeorological Database for Streamflow Forecasting in Continental Chile

description: Accurate short-term streamflow forecasting is crucial for effective water resource management and mitigating hydrological extremes, such as floods and droughts. HidroCL DB is a comprehensive lumped hydrometeorological database designed to support short-term streamflow forecasting across 432 catchments in Continental Chile, with daily records spanning 2000 to 2025. The database integrates diverse data sources, including GIS layers, climatic reanalysis, satellite observations, and numerical weather predictions. Data are organized by catchment and grouped into static variables (e.g., catchment characteristics, water rights, soil properties), observed variables (e.g., satellite-derived indicators, meteorological data, reservoir surface area), forecasted variables (e.g., numerical weather prediction outputs), and streamflow measurements from gauge stations. HidroCL DB provides a valuable resource for researchers and practitioners to develop, validate, and benchmark hydrological models for operational streamflow forecasting in Chile.
DOI: 10.4211/hs.2ca4041c12534f9d8f0d9e2a0c80fef2
title: LWD_flow_resistance_in_2D_models

description: Large woody debris are common in rivers and streams. Their presence induces flow resistance, which requires proper parameterization in 2D depth-averaged models, such as SRH-2D and HEC-RAS 2D. This dataset is the companion for a manuscript on this topic titled "Large Woody Debris Flow Resistance Parameterization in Two-Dimensional Depth-Averaged Models".
DOI: 10.4211/hs.75e311b73ba64f259ec52668e458ca99
title: Enabling collaboration through data and model sharing with CUAHSI HydroShare; CIROH Science Meeting Poster

description: Collaboration is central to CIROH (https://ciroh.ua.edu/). Advancing the knowledge needed to support research to operations in hydrology depends on collaboration around model and data sharing. It requires open data supporting the integration of information from multiple sources; easy to use, generally accessible, shareable computing; and working together as a team and community. The CUAHSI HydroShare platform was developed to advance water research by enabling communities of researchers to more easily and freely share digital products resulting from their research, not just the scientific publications summarizing a study, but the data, models and workflows used to produce the results, consistent with Findable, Accessible, Interoperable, and Reusable (FAIR) principles of present-day research. This project advances HydroShare as a platform for CIROH collaborative research and education. The objectives are to (1) enhance community data access; (2) establish interoperability with scalable computing; (3) demonstrate computational reproducibility; and (4) establish and grow a CIROH Community on HydroShare. Work to date has, through a survey, identified high value datasets and developed Jupyter Notebooks to enhance accessing and working with this data. The HydroShare interoperability software stack has been added to CIROH 2i2c JupyterHub to enable execution of these Notebooks. A community of 5 HydroShare groups has been established to facilitate data sharing among CIROH themes. Ongoing efforts focus on providing access to computing resources enabling broader use of the NextGen modeling framework being used to develop future versions of the National Water Model. 

This resource holds the powerpoint file for the HydroShare poster presented at the CIROH Science Meeting in Tuscaloosa Alabama October 14-17, 2024
DOI: 10.4211/hs.023bfa101586432ba0f6ed9ddfea60a9
title: Enabling collaboration through data and model sharing with CUAHSI HydroShare; CIROH Devcon 25 presentation

description: Collaboration is central to CIROH. Advancing hydrology research to operations relies on model and data sharing, requiring open data integration, accessible computing, and teamwork. The CUAHSI HydroShare platform was developed to enable researchers to share digital products from their research, including data, models, and workflows, in line with Findable, Accessible, Interoperable, and Reusable (FAIR) principles. This project advances HydroShare for CIROH collaborative research and education with objectives to (1) enhance community data access; (2) establish interoperability with scalable computing; (3) demonstrate computational reproducibility; and (4) establish and grow a CIROH Community on HydroShare. This presentation will show the use of the CIROH 2i2c JupyterHub platform linked to HydroShare for accessing high community value datasets such as NOAA Analysis of Record for Calibration (AORC) Dataset and the hydrofabric dataset of connected rivers, lakes and catchments. The presentation will also cover configuring and running research instances of NextGen subsets to evaluate options for improving the National Water Model as it adopts the NextGen framework.

This resource holds the powerpoint file for the lightning talk presented at CIROH Developers Conference in Burlington Vermont, May 28-30, 2025.
DOI: 10.4211/hs.5293674cb83b4ec698db0eb4777467b8
title: GDROM v2: An Inventory of Operation Variables Time Series and Rules for 2,017 Large Reservoirs across the CONUS

description: Effective reservoir operation is critical for achieving multiple water management objectives, while also representing a major human intervention in hydrologic processes. Yet for most reservoirs, the lack of complete daily operation records and realistic accurate operation rules constrains their representation in large-scale hydrological models. To address this gap, we present GDROM v2, a nationwide dataset covering daily operation variable time series and derived operation rules for 2,017 large reservoirs across the Contiguous United States (CONUS), building upon the original GDROM (Li et al., 2023. Hydroshare. https://doi.org/10.4211/hs.63add4d5826a4b21a6546c571bdece10) of 452 reservoirs. 
The dataset includes:
1.	Time series of daily inflow, release, and storage (collected, cleaned, and normalized)
2.	Operation rules for each reservoir expressed as “if–then–else” statements
3.	Python scripts and instructions for using and training GDROMs
GDROM v2 offers the largest open collection of reservoir operation variable time series and realistic operation rules across the CONUS, providing a useful resource for hydrological modeling and water management studies.
DOI: 10.4211/hs.4d98edaf289942e49ba1e2491d123a32
title: High Water Marks July 2024 Vermont Floods - UVM Floodplains

description: This dataset represents high-water mark observations made following widespread flooding in Vermont on July 10-11, 2024. Sites visited following flood recession are part of a long-term floodplain monitoring and habitat assessment maintained by the University of Vermont.  Immediately after the floods, field teams flagged high water marks, took photos, and marked the locations with smart phone GPS. Subsequently a survey team revisited the sites with an RTK-GPS to more precisely capture the location and elevation and post-processed through NOAA's OPUS.

Data quality is noted based on the following:
Field Rating: Based on initial site visits. Field personnel noted their confidence level in the indicators of the high water marks. High confidence are noted as "Excellent" or "Good", and lower confidence points are noted as "Fair" or "Poor"
GPS Quality: Based on RTK-GPS survey quality. More information can be found in accompanying txt file.
DOI: 10.4211/hs.06551fecfa204d299d4197a9ea1bfcb1
title: Bridging the 39Ar–14C Groundwater Dating Gap: A Dual-Permeability Transport Perspective Based on Numerical Modeling and Field Data - Dataset

description: This dataset supports the study titled ''Bridging the 39Ar–14C Groundwater Dating Gap: A Dual-Permeability Transport Perspective Based on Numerical Modeling and Field Data'' and contains the HydroGeoSphere (HGS) input files used to simulate reactive tracer transport in a reference dual-permeability groundwater model. The model was developed to investigate mechanisms driving discrepancies between apparent groundwater ages derived from Argon-39 and Carbon-14 tracers—particularly in systems where diffusive exchange and in situ underground production significantly bias the apparent tracer ages. The domain consists of a vertical fracture embedded in a low-permeability porous matrix, explicitly representing physical processes such as advection in the fracture, diffusion into and from the matrix, longitudinal dispersion, and depth-dependent production of 39Ar. Boundary and initial conditions were configured to simulate long-term transient flow over 20,000 years, allowing tracer activity to equilibrate under realistic hydrogeological conditions. This reference model forms the basis for a broader sensitivity analysis assessing the impact of fracture aperture, porosity, diffusion coefficients, and dispersivity. The dataset supports reproducibility of key numerical results and provides a framework for future groundwater age-dating studies using HGS in complex fractured media.
DOI: 10.4211/hs.4022c4ec99224449b8c974657a332ac1
title: Measurements of Soil Moisture, Infiltration, and Hydrophobicity in Yosemite National Park Across Differing Fire Histories

description: The impact of wildfire on soil properties is difficult to predict, partially due to a shortage of field observations. To help address this need, we have assembled a unique dataset of soil properties (moisture, infiltration rate, and water drop penetration time) at over 100 individual locations within Yosemite National Park. These locations cover a wide range of fire history, soil texture, vegetation cover, and topography. Measurements span May 2022 through July 2023, capturing both a dry year and a wet year. A subset of sites burned in late summer 2022, allowing for pre- and post-fire measurements. Each individual site was measured 1-3 separate times. Water drop penetration time was measured at the soil surface, 1cm, and 3cm depths. Infiltration rate was measured at the soil surface and at 3cm depth using a mini disk infiltrometer.
DOI: 10.15468/dl.k9ccht
title: Occurrence Download

description: A dataset containing 122 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Salix floderusii"
 ]
}

 The dataset includes 122 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0050010-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.4211/hs.05d43388a0f647ec876c71bb02e9eb7c
title: A Data Set to Disentangle the Impacts of Climate and Land Use Changes on Streamflow

description: This dataset contains a curated list of 30 peer-reviewed studies screened for a meta-analysis evaluating the relative impacts of climate change and land use transitions on streamflow. For each study, we document metadata including DOI, location (i.e. country), river basin, changes in precipitation, temperature, streamflow, major land use conversion, study period, and Köppen-Geiger climate zone. The dataset serves as a foundational reference for hydrological research and cross-regional comparison of climate–land use interactions on water resources.
DOI: 10.15468/dl.n6thhv
title: Occurrence Download

description: A dataset containing 122119 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Mohonk Preserve Historical Observational Biodiversity Data"
 ]
}

 The dataset includes 122119 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0049999-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.4211/hs.a6e5952cd87749b78a5eb74eb3caaa86
title: Cross-CZO storm-event stream water silicon stable isotope - discharge datasets from manuscript (USA, France, Canada)

description: *** This is the addendum version with updated fSi_diss ***
This resource contains accompanying stream water chemistry data (major cations, anions, DOC, Silicon, Germanium, and Silicon stable isotopes) presented in "Resiliency of silica export signatures when low order streams are subject to storm events" by Fernandez et al. The datasets represent seven storm events from six different catchments across the US, Canada, and France as part of an international cross-CZO collaboration supported through SAVI (Science Across Virtual Institutes).  

Files are provided in ".csv" format and are organized both with respect to individual sites (listed below) and as bulk metadata (designated 'AllSites' ).

CZO sites and storm events investigated for this study (site specific csv file name identifier is provided inside the brackets [ ] ):
[LaJara] - La Jara Creek, Jemez CZO (New Mexico, USA) - March to Late May 2017 snowmelt event
[ProvidenceCreekP303] - Providence Creek Subcatchment P303, Southern Sierra CZO (California, USA) - January 2018 rain event
[ElderCreek] - Elder Creek, Eel River CZO (California, USA) - January 2017 rain event
[Sapine ] - Sapine Creek, OZCAR (Mont Lozère, FRA) - October 2016 rain event and long term monthly sampling from 2013-2015 
[QuiockCreek] - Quiock Creek, OZCAR (Basse-Terre, Guadeloupe, FRA) - October 2015 rain event
[KwakshuaWatershed708] - Kwakshua Watershed 708, Hakai Institute (Calvert Island, British Columbia, CAN) - two rain events, September and October 2017

Site-specific lithology and associated chemical compositions used in calculations for fSi (proxy for fraction of Si remaining in solution) are provided in 'bedrock_compositions.xlsx'. Refer to the manuscript for further details.
DOI: 10.4211/hs.693e58d1f40b4b97bc942df56bb16077
title: Illilouette Creek Basin Weather Stations

description: This dataset is part of a project studying the effects of wildfire on the Illilouette Creek Basin, a watershed within Yosemite National Park. Three temporary weather stations were installed under distinct types of vegetation cover. Each station measures air temperature, relative humidity, rainfall (the rain gage is not heated, so only the portion of snowfall that melts within the gage is measured), wind speed and direction, solar radiation, and both soil moisture and temperature at three depths. These measurements are recorded every 10 minutes, beginning in the summer of 2015 through June 2021. Snow depths and percent cover were estimated from time lapse imagery up to four times per day, and field measurements of snow depth and density were conducted up to two times each winter. The west-facing hillside where these stations are located most recently burned in 2004  and 2017 (Empire Fire). Photos are included of the stations both before and after the Empire Fire. For descriptions of the data format and units, see the included WeatherStnMetadata.xlsx file.
DOI: 10.4211/hs.2301e151c62d4febb59655885458ab0c
title: Lake Pontchartrain Toy Model created in Delft3D-FM used for a walkthrough of a Lagrangian particle tracking model, dorado

description: This is a toy model that is used to walk through a Delft3D-Flexible Mesh application of the Lagrangian particle tracking model, dorado (Hariharan et al., 2020a). This Jupyter Notebook walkthough can be found on github (https://github.com/passaH2O/dorado) using the example: unstructured_grid_Delft3dFM.ipynb. This model was additionally used in the Jupyter Notebook walkthrough of spatial exposure time using the example: spatial_exposure_time_example_Delft3DFM.ipynb. This model is for 30 days (April 15th, 2025 to May 16th, 2025). Accurate data was used for tidal and meteorological data. Tributary inputs are an approximate average of that time period and the diversion was set to be open during this time period; although no opening occurred during this time,. This model was created for educational purposes only. A fully calibrated model can be found on HydroShare (Turner & Hiatt, 2025b), with the model creation process and applications of these codes outlined in "Water exposure time distributions controlled by freshwater releases in a semi-enclosed estuary (Turner & Hiatt, 2025b)".