cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.48597/apab-2j2w
title: Measurement of Meteorology at Ny-Ålesund - Transformatorbua

description: Measurement of Meteorology at Ny-Ålesund - Transformatorbua
DOI: 10.48597/ntn9-g8bk
title: Nitrogen_dioxide at Sniezka

description: Measurement of Nitrogen_dioxide at Sniezka
DOI: 10.48597/2dt9-z6sn
title: Measurement of Nitrogen_dioxide at Sniezka

description: Measurement of Nitrogen_dioxide at Sniezka
DOI: 10.4211/hs.23b51cb99b5445a1af740a21c5acaecb
title: CIROH: Enabling collaboration through data and model sharing with CUAHSI HydroShare

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. HydroShare supports and enables private (e.g., social science) and open data sharing, transparent workflows, and computational reproducibility, thereby improving reliability and trust in research findings. These are crucial as research is transferred into operations. 

The goal of this project is to enhance the performance, reliability, usability, and scalability of HydroShare’s linkages with cloud storage and computational systems to fulfill CIROH’s community collaboration and linked computing needs and enable CIROH researchers to easily integrate and analyze national scale datasets required for their research using high-performance and cloud computing systems.

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 under objective (1) will use community input to identify, prioritize, and establish easy to use access to multiple high-value community datasets. Work under objective (2) will establish or extend interfaces to high performance computing, leveraging tools for model input preparation such as the CUAHSI Domain Subsetter and I-GUIDE (the Institute for Geospatial Understanding through an enhanced Discovery Environment, https://iguide.illinois.edu). Work under objective (3) will establish and document CIROH community best practices for enhancing the reproducibility of high-performance computing and analysis workflows so that CIROH modeling workflows can be accessed, re-executed, and analyzed by multiple researchers. Work under objective (4) will establish a CIROH “Community” within the HydroShare repository to support collaboration around and sharing of CIROH research products.

Forecasting operations will benefit from the transparency of research products hosted in HydroShare and linked to computing platforms for reproducibility and evaluation. Linking publications, data, and code (often in GitHub), with methods and findings that are well documented and tested will support their evaluation by the National Water Center for operational adoption.

This project runs 6/1/2023 to 5/31/2025.
DOI: 10.48597/3v89-3mfn
title: Measurement of Nitrogen_dioxide at Sniezka

description: Measurement of Nitrogen_dioxide at Sniezka
DOI: 10.48597/swbb-9wkx
title: Measurement of Nitrogen_dioxide at Sniezka

description: Measurement of Nitrogen_dioxide at Sniezka
DOI: 10.48597/te2k-9b6u
title: Measurement of Nitrogen_dioxide at Sniezka

description: Measurement of Nitrogen_dioxide at Sniezka
DOI: 10.48597/xeha-bfgc
title: Measurement of Nitrogen_dioxide at Sniezka

description: Measurement of Nitrogen_dioxide at Sniezka
DOI: 10.4211/hs.5e6cc59ec95b4aa2bcc8f0be8f8832fb
title: Agent-Based Models of groundwater systems - Database

description: Understanding how society can address and mitigate threats to groundwater sustainability remains a pressing challenge in the Anthropocene era. This article presents the first comprehensive and critical review of coupling Groundwater Models and Agent-Based Models (GW-ABMs) to address four key challenges: (1) adequately representing human behaviour, (2) capturing spatial and temporal variations, (3) integrating two-way feedback loops between social and physical systems, and (4) incorporating water governance structures. Our findings indicate a growing effort to model bounded rationality in human behaviour (Challenge 1 or C1) and a dominant focus on policy applications (C4). Future research should address data scarcity issues through Epstein’s Backward approach (C2), capture feedbacks via tele-coupled GW-ABMs, and explore other modelling techniques like Analytic Elements Groundwater Models (C3). We conclude with recommendations to thrust future GW-ABMs to the highest standards, aiming to enhance their acceptance and impact in decision-making and policy formulation for sustainable groundwater management. This resource represents the literature review database for the article: Marcos Canales, Juan Castilla-Rho, Rodrigo Rojas, Sebastian Vicuna, James Ball, Agent-based models of groundwater systems: A review of an emerging approach to simulate the interactions between groundwater and society, Environmental Modelling and Software (2024), https://doi.org/10.1016/j.envsoft.2024.105980
DOI: 10.48597/xt3d-gbcz
title: Measurement of Nitrogen_dioxide at Sniezka

description: Measurement of Nitrogen_dioxide at Sniezka
DOI: 10.4211/hs.6663122ba06749ac92409ff53f81af7c
title: Collected data for Shin et al. (2024): Energy inputs imprint seasonality and fractal scaling on river metabolic regimes

description: This resource contains time series data of gross primary production (GPP), ecosystem respiration (ER), water temperature, and discharge obtained from Appling et al. (2018), photosynthetically active radiation of open-sky, stream surface, and benthos obtained from Savoy and Harvey (2021) of total 87 sites (n=50 for GPP and n=74 for ER).
DOI: 10.48597/4w9e-29vm
title: Measurement of Nitrogen_dioxide at Sniezka

description: Measurement of Nitrogen_dioxide at Sniezka
DOI: 10.48597/7zx3-43z8
title: Measurement of Nitrogen_dioxide at Sniezka

description: Measurement of Nitrogen_dioxide at Sniezka
DOI: 10.4211/hs.84c2b029f97343a59d0739115d4087f1
title: NOAA National Water Model Reanalysis Data at RENCI

description: This data release provides the historic streamflow simulations from versions 1.2, 2.0, and 2.1 of the National Water Model re-structured for time series extraction. The data is hosted on a distributed set of THREDDS Data Servers and is accessible via OPeNDAP at the following URLs:

Version 1.2
(https://thredds.hydroshare.org/thredds/catalog/nwm/retrospective/catalog.html?dataset=NWM_Retrospective/nwm_retro_full.ncml)
 - Spans 1993-01-01 00:00:00 to 2017-12-31 23:00:00
 - Contains 219,144 hourly time steps for
 - 2,729,077 NHD reaches

Version 2.0
(https://thredds.hydroshare.org/thredds/catalog/nwm/retrospective/catalog.html?dataset=NWM_Retrospective/nwm_v2_retro_full.ncml)
 - Spans 1993-01-01 00:00:00 to 2018-12-31 00:00:00
 - Contains 227,904 hourly time steps for
 - 2,729,076 NHD reaches

Version 2.1
(https://cida.usgs.gov/thredds/catalog/demo/morethredds/nwm/nwm_v21_retro_full.ncml)
 - Spans 1979-02-02 18:00:00 to 2020-12-31 00:00:00
 - Contains 367,439 hourly time steps for
 - 2,776,738 NHD reaches

The `nwmTools` R package provides easier interaction with the OPeNDAP resources. Package documentation can be found here (https://mikejohnson51.github.io/nwmTools/) and the GitHub repository  here (https://github.com/mikejohnson51/nwmTools).

This effort is supported by the Consortium of Universities for the Advancement of Hydrologic Science, Inc. under the HydroInformatics Fellowship.

Current Publication:

 J.M. Johnson, David L. Blodgett, Keith C. Clarke, Jon Pollack. (2020). "Restructuring and serving web-accessible streamflow data from the NOAA National Water Model historic simulations".  _Nature Scienﬁc Data_.
DOI: 10.48597/8zfb-s8nc
title: Measurement of Nitrogen_dioxide at Sniezka

description: Measurement of Nitrogen_dioxide at Sniezka
DOI: 10.48597/fqb4-2fu2
title: Measurement of Nitrogen_dioxide at Sniezka

description: Measurement of Nitrogen_dioxide at Sniezka
DOI: 10.4211/hs.45930399530b42c391e642f3c5202a8d
title: Understanding the impact of precipitation bias-correction and statistical downscaling methods on projected changes in flood extremes

description: This contains the data and codes for the study: "Understanding the impact of precipitation bias-correction and statistical downscaling methods on projected changes in flood extremes" by Michalek et. al. (2023). The code for the analysis is provided below. The file name provided the order of the steps taken for the analysis. Note any precipitation related files are not included as they are too large for Hydroshare. Abstract: This study evaluates five bias correction and statistical downscaling (BCSD) techniques for daily precipitation and examines their impacts on the projected changes in flood extremes (i.e., 1%, 0.5%, and 0.2% floods). We use climate model outputs from the Coupled Model Intercomparison Project Phase 6 (CMIP6) to conduct hydrologic simulations across watersheds in Iowa and determine historical and future flood extreme estimates based on generalized extreme value distribution fitting. Projected changes in these extremes are examined with respect to four Shared Socioeconomic Pathways (SSPs) alongside five BCSD techniques. We find the magnitude of future annual exceedance probability (AEPs) estimates are expected to increase for the future under all SSPs, especially for the emission scenarios with higher greenhouse gases concentrations (i.e., SSP370 and SSP585). Our results also suggest the choice of BCSD impacts the magnitude of the projected changes, with the SSPs that exert limited sensitivity compared to the choice of downscaling method. The variability in projected flood changes across Iowa is similar across the downscaling technique but increases as the AEP increases. Our findings provide insights into the impact of downscaling techniques on flood extremes’ projections and useful information for climate planning across the state.
DOI: 10.48597/g3qq-9kz5
title: Measurement of Nitrogen_dioxide at Sniezka

description: Measurement of Nitrogen_dioxide at Sniezka
DOI: 10.48597/mnch-qwxe
title: Measurement of Nitrogen_dioxide at Sniezka

description: Measurement of Nitrogen_dioxide at Sniezka
DOI: 10.48597/vdju-2e66
title: Measurement of Nitrogen_dioxide at Sniezka

description: Measurement of Nitrogen_dioxide at Sniezka
DOI: 10.5517/ccdc.csd.cc2p4wvl
title: CCDC 2477360: Experimental Crystal Structure Determination

description: Related Article: Cheng Cheng|2025|CSD Communication|||
description: Related Article: Xiao Chen, Cheng Cheng, Yang Yu, Weiren Zhong, Zhichen Zhao, Shilong Yang, Zheng Zhao, Jianyu Zhang, Xu-Min Cai|2025|Chem.Commun.|||doi:10.1039/D5CC04671H
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2p4z3y
title: CCDC 2477430: Experimental Crystal Structure Determination

description: Related Article: Xiao Chen, Cheng Cheng, Yang Yu, Weiren Zhong, Zhichen Zhao, Shilong Yang, Zheng Zhao, Jianyu Zhang, Xu-Min Cai|2025|Chem.Commun.|||doi:10.1039/D5CC04671H
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.48597/c73r-mwqv
title: Measurement of Nitrogen_dioxide at Sniezka

description: Measurement of Nitrogen_dioxide at Sniezka
DOI: 10.4211/hs.90058d6565784aad97cdf51262777590
title: SENSEflux-USGLB: Nitrogen and Phosphorus Loads, Sources and Pathways

description: SENSEflux-USGLB, the Spatially Explicit Nutrient Source Estimate and Flux for the United States Great Lakes Basin estimates total annual nitrogen and phosphorus loads from the US Great Lakes Basin to the coastline, as well as sources and pathways at 120 meter resolution for an average year during 2008 - 2015 period (ca. 2010). The SENSEflux model uses a GIS and mass balance approach to simulate nutrient fate and transport from point and nonpoint sources across the landscape through rivers to lakes and wetlands. It includes four components: (1) nutrient applications, (2) in situ losses, (3) basin attenuation through surface and subsurface pathways, and (4) stream and lake attenuation. This resource includes 120-meter maps of nitrogen and phosphorus loads, mass balance components (total applied nutrient, crop harvest, basin loss, river uptake, soil and groundwater storage), sources (atmospheric deposition, chemical agricultural fertilizer, chemical nonagricultural fertilizer, manure, septic tanks, nitrogen fixation from legumes, and point sources) and pathways (overland flow, tile drainage, groundwater, septic plumes, point) along with corresponding watershed summaries at the Hydrologic Unit Code 12 (HUC12) and HUC8 levels, as defined in the USGS 2014 Watershed Boundary Dataset. Sources are separated by subsurface (groundwater flow and septic plumes within groundwater) pathway and surface (overland and tile fields) pathway, so total nutrient delivery through a specific nutrient source can be computed as the sum of each source (i.e., gQAgComm + sQAgComm) through the pathways if applicable. Watershed summaries  (kg/day) derived from those 120-meter maps  (kg/day/cell) using the zonal statistics method with the 'SUM' function. SENSEflux-USGLB is described in full detail in the manuscript and supporting information of Wan et al. (2023) "Important Role of Overland Flows and Tile Field Pathways in Nutrient Transport in Environmental Science & Technology. https://doi.org/10.1021/acs.est.3c03741.
DOI: 10.48597/qetc-mhj6
title: Measurement of Nitrogen_dioxide at Sniezka

description: Measurement of Nitrogen_dioxide at Sniezka
DOI: 10.4211/hs.5bdfc2bebaa940a69491362920a7768c
title: Event-based analysis of concentration-discharge relationship during winter road salt application

description: It has been widely established that many freshwater systems within the northern United States are exposed to significantly high chloride concentrations during winter months. The exposure of these freshwater systems is primarily due to use of road salt as deicing agents to aid in the safe transport of people and goods during icy conditions, which migrate from impervious surfaces to affect soil and water quality and damage infrastructure. Although increasing chloride concentration is of vast importance to ecosystem health and function, limited studies seek to understand the methods by which event-based application of road salt propagates through stream and river networks. Many studies focus on longer time series and low-frequency data to explain the increased chloride concentration in streams, ignoring the dynamics of environmental variables on an event scale. Here, we present an event-based, concentration-discharge analysis during two winter seasons (2017-18 and 2018-19, between November and March) across six urban streams within the Saint Louis, Missouri, metropolitan region. We characterize events relative to chloride concentrations exceeding the EPA chronic threshold for chloride (230 mg Cl-/L) and those lasting more than 12 hours using a peak-trough analysis to identify when an event occurs in our time series. We then characterize each event using a concentration-discharge (cQ) relationship, including hysteretic behaviors, to understand how discharge conditions control freshwater systems' exposure during winter months. Lastly, we performed a classification and regression tree analysis between cQ relationship parameters and explanatory variables. Our results showed no statistically significant difference (p > 0.05) between either the cQ slopes or the intercepts relative to the individual sites but that minimum air temperature regulated cQ dynamics with temperature above 1.9 ℃ having the greatest number of chemostatic events while temperature below -2.2 ℃ had more dilution events; mobilization was mostly associated with temperatures above -1.9 ℃. Our analysis of rain on snow (ROS) events shows that most of the winter events observed across the study sites consisted of ROS events which also accounted for very high variability in concentration response to discharge. Together, our results reamplifies the complexity of solute transport to streams during colder months.

The files includes the raw data for chloride, an excel file with the USGS stream gauges, the raw cQ data used for our analysis and a readme file. Results from this data have been submitted with Dorley & Haake (2023) to Frontiers in Water
DOI: 10.48597/ttwu-kp95
title: Measurement of Nitrogen_dioxide at Sniezka

description: Measurement of Nitrogen_dioxide at Sniezka
DOI: 10.48597/xbft-8mxd
title: Measurement of Nitrogen_dioxide at Sniezka

description: Measurement of Nitrogen_dioxide at Sniezka
DOI: 10.48597/xs8r-hy2s
title: Measurement of Nitrogen_dioxide at Sniezka

description: Measurement of Nitrogen_dioxide at Sniezka
DOI: 10.4211/hs.088b1f35ee1b4c348a44a6cbad21250d
title: A high-resolution map of diffuse groundwater recharge rates for Australia

description: Estimating groundwater recharge rates is vitally important to understanding and managing groundwater. Numerous studies have used collated recharge datasets to understand and project regional or global-scale recharge rates. However, a key challenge stems from the inherent variability in recharge estimation methods utilised across these collations. Recharge estimation methods each carry distinct assumptions, address different recharge components, and operate over varied temporal scales. To address these challenges, this study uses a comprehensive dataset of over 200,000 groundwater chloride measurements to estimate groundwater recharge rates using the chloride mass balance (CMB) method throughout Australia. Recharge rates were produced stochastically using the groundwater chloride dataset and supplemented by gridded chloride deposition, runoff, and precipitation datasets within a Python framework. After QA/QC and data filtering, the resulting recharge rates and 17 spatial datasets are integrated into a random forest regression algorithm, generating a high-resolution (0.05°) model of recharge rates across Australia. This study presents a robust and automated approach to estimate recharge using the CMB method, offering a unified model based on a single estimation method. The resulting datasets, the Python script for recharge rate calculation, and the spatial recharge models collectively provide valuable insights for water resources management across the vast and dry Australian continent and similar approaches can be applied globally. If you use the datasets, gridded map output files, or Python scripts, we would appreciate it if you could cite the associated publication in Hydrology and Earth System Sciences. Details of the journal article will be made available upon final publication. For any further information, please do not hesitate to contact Stephen Lee on stephen.lee@cdu.edu.au.
DOI: 10.48597/yd5r-tt9k
title: Measurement of Nitrogen_dioxide at Sniezka

description: Measurement of Nitrogen_dioxide at Sniezka
DOI: 10.48597/b9eh-v9hu
title: Measurement of Nitrogen_dioxide at Sniezka

description: Measurement of Nitrogen_dioxide at Sniezka
DOI: 10.5281/zenodo.17280103
title: PPE Adherence Classification Dataset

description: This dataset is designed for training a PPE adherence classification network, which predicts the adherence status of healthcare providers based on their visual appearance.

The dataset contains 12 classes corresponding to four types of personal protective equipment (PPE) — gown, mask, eyewear, and glove — each labeled according to adherence conditions.

All images were cropped and sampled from the R2PPE dataset, followed by post-processing to isolate individual providers and normalize image dimensions.
DOI: 10.4211/hs.711d68471bfb44f78512bc2a8594e002
title: [Data] The Role of Subsurface Critical Zone Structure on Hydrological Partitioning in a Headwater Mountainous Catchment

description: Codes and data for paper: The Role of Subsurface Critical Zone Structure on Hydrological Partitioning in a Headwater Mountainous Catchment
The paper abstract
Headwater catchments play a vital role in regional water supply, necessitating a comprehensive understanding of hydrological partitioning for sustainable management. Recent studies have highlighted the significance of fractured rock layers in hydrological partitioning. However, the influence of these fractures on hydrological partitioning, particularly in relation to regional stress fields and the distribution of fractures parallel or mirroring the surface, remains largely unknown. This study utilizes geophysics-informed hydrologic modeling to examine the impacts of subsurface structure on hydrological partitioning in a mountainous headwater catchment. Our findings underscore the substantial influence of fractured bedrock on streamflow discharge, rock storage, and deep infiltration. Notably, climate change simulations reveal that catchments with paralleling surface structures may exhibit lower resilience. These findings provide valuable insights for water resource management, emphasizing the need to consider subsurface characteristics, including bedrock fracture distributions, to effectively anticipate and adapt to changing hydrological patterns.

The code and data description:
The code-dependent package see requirement.txt
Note that the code was running in HPC (Linux system) for parallel computing purposes. We cannot promise it can work in the Windows system.
All of model input data are in folder TLnewtest2sfb2
The use of data can be seen in the comment in the python code
DOI: 10.48597/bvb8-vvnp
title: Measurement of Nitrogen_dioxide at Sniezka

description: Measurement of Nitrogen_dioxide at Sniezka
DOI: 10.5281/zenodo.17280102
title: PPE Adherence Classification Dataset

description: This dataset is designed for training a PPE adherence classification network, which predicts the adherence status of healthcare providers based on their visual appearance.

The dataset contains 12 classes corresponding to four types of personal protective equipment (PPE) — gown, mask, eyewear, and glove — each labeled according to adherence conditions.

All images were cropped and sampled from the R2PPE dataset, followed by post-processing to isolate individual providers and normalize image dimensions.