cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.4211/hs.2ec257d6ed0246098d1d6dae8074ecbc
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/fgk7-fp6b
title: Measurement of Nitrogen_dioxide at Jarczew

description: Measurement of Nitrogen_dioxide at Jarczew
DOI: 10.48597/hm4v-3mtd
title: Measurement of Nitrogen_dioxide at Jarczew

description: Measurement of Nitrogen_dioxide at Jarczew
DOI: 10.4211/hs.9302d66471e1481ebd8b5723dd3cda42
title: Hydro-climatic data for 925 nearly natural Alpine catchments for stochastic streamflow simulation

description: This dataset accompanies a manuscript by Brunner and Gilleland under consideration for publication in Earth's Future: 'Future changes in floods, droughts, and their extents in the Alps: a sensitivity analysis with a non-stationary stochastic streamflow generator'.
It provides daily streamflow, temperature, and precipitation data for 925 nearly natural catchments in the Alps for the period 1981-2016 and a shapefile with information on catchment locations, areas, and elevations.
DOI: 10.48597/r73b-a8yw
title: Measurement of Nitrogen_dioxide at Jarczew

description: Measurement of Nitrogen_dioxide at Jarczew
DOI: 10.48597/aze5-cjyp
title: Measurement of Nitrogen_dioxide at Jarczew

description: Measurement of Nitrogen_dioxide at Jarczew
DOI: 10.48597/w6d8-q2sn
title: Measurement of Nitrogen_dioxide at Jarczew

description: Measurement of Nitrogen_dioxide at Jarczew
DOI: 10.48597/jmjh-89sv
title: Measurement of Nitrogen_dioxide at Jarczew

description: Measurement of Nitrogen_dioxide at Jarczew
DOI: 10.5281/zenodo.17281907
title: Datasets for PPE Adherence Duration Estimation

description: This repository includes three datasets: 1) R2PPE additional Video Sets; 2) PACN Dataset; and 3) Dataset for Duration Estimate.

R2PPE additional Video Sets

The R2PPE additional video sets can be used with R2PPE dataset. The videos were simulated in the environment of data of R2PPE and frames were sampled in 1 FPS. 

PACN Dataset

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 and additional video sets mentioned above.

Dataset for Duration Estimate

The dataset consists of five simulation videos in which healthcare providers perform various clinical activities while wearing different types of personal protective equipment (PPE). The dataset includes 12 adherence classes. The CSV file provides the duration (in seconds) of each of the 12 PPE adherence classes across the five simulation videos.
DOI: 10.5281/zenodo.17281908
title: Datasets for PPE Adherence Duration Estimation

description: This repository includes three datasets: 1) R2PPE additional Video Sets; 2) PACN Dataset; and 3) Dataset for Duration Estimate.

R2PPE additional Video Sets

The R2PPE additional video sets can be used with R2PPE dataset. The videos were simulated in the environment of data of R2PPE and frames were sampled in 1 FPS. 

PACN Dataset

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 and additional video sets mentioned above.

Dataset for Duration Estimate

The dataset consists of five simulation videos in which healthcare providers perform various clinical activities while wearing different types of personal protective equipment (PPE). The dataset includes 12 adherence classes. The CSV file provides the duration (in seconds) of each of the 12 PPE adherence classes across the five simulation videos.
DOI: 10.4211/hs.1c4c1016e25e44fd9444273ddd91348c
title: Future changes in regional tropical cyclone wind, precipitation and flooding using event-based downscaling

description: Understanding changes in the hazard component of climate risk is important to inform societal resilience planning under a changing climate. Here, we examine local changes in wind speed, rainfall, and flooding related to tropical cyclones (TCs) and compare them across statistical and dynamical modeling approaches. Our focus region is the Delaware River Basin, located in the northeastern United States. We pair event-based downscaling with large ensemble climate model information to capture the details of extreme TC wind, rain, and flooding, and their likelihood, in a changing climate. We identify local TCs in the Community Earth System Model 2 Large Ensemble (CESM2-LENS). We find fewer TCs in the future, but these future TCs have higher wind speeds and are wetter. We also find that TCs produce heavier 3-day precipitation distributions than all other summertime weather events, with TCs constituting a larger percentage of the upper tail of the full precipitation distribution. With this information, we identify a small collection of 200-year return events and compare the resulting TC rain and wind across dynamical and statistical downscaling methods. We find that dynamical downscaling produces peak rain rates far higher than CESM or statistical downscaling methods. It can also produce very different future changes in precipitation totals for the small set of events considered here. This leads to vastly different flood responses. Overall, our results highlight the need to interpret future changes of event-based simulations in the context of downscaling method limitations.
DOI: 10.48597/k2pf-eda7
title: Measurement of Nitrogen_dioxide at Jarczew

description: Measurement of Nitrogen_dioxide at Jarczew
DOI: 10.4211/hs.1d5bbf7f88cb484e892ac9d97523d63c
title: Stable Water Isotopes of Precipitation, Surface Water and Groundwater in the North Alouette Watershed, BC

description: The purpose of this research is to characterize the isotopic signature of landfalling atmospheric river (AR) events in Lower Mainland, British Columbia. We collected 58 precipitation samples between November 2021 and February 2023. The stable water isotopic signatures of these events are provided in the spreadsheet. In addition, they are also identified as an AR or non-AR which was determined based on the Rutz et al., 2014 MERRA V2 reanalysis ARTMIP catalogue. 
Additionally, we also wanted to determine whether these events were manifested isotopically at a watershed scale. We collected surface water samples from the North Alouette River, one of its tributaries and three groundwater wells. The isotopic signatures for each sample collected are also provided in the spreadsheet. The sampling locations are provided in the attached map figure.
DOI: 10.48597/mdza-jjua
title: Measurement of Nitrogen_dioxide at Jarczew

description: Measurement of Nitrogen_dioxide at Jarczew
DOI: 10.5281/zenodo.17916375
title: Proteomics analysis of proteins from fatty acid pulldown assay on plasma from lean and obese mice
DOI: 10.5281/zenodo.17916376
title: Proteomics analysis of proteins from fatty acid pulldown assay on plasma from lean and obese mice
DOI: 10.4211/hs.b01a8cec98f742bab01afeb65b5c07d9
title: High and low frequency water quality and quantity data in a point source influenced headwater stream

description: This dataset contains different water quality and -quantity data, collected in a small headwater catchment in the north of Hesse, Germany. Grab samples were collected manually on different sites within the stream and analysed for nutrients and stable water isotopes. On site 2, our main monitoring station, we installed probes for high frequency measurements of discharge, nitrate, and conductivity. Site 3 corresponds to the WWTP outlet. Meteorological data was collected via a meteorological station at the site of the WWTP. We also monitored the combined sewer overflow via a modified conductivity logger. CSO_on = 1 indicates, that the CSO is discharging. The data was processed and checked for quality, including sensor calibration and visual inspection, to remove obvious errors. Detailed procedures are described by Spill et al. (2023) (see Metadata)
DOI: 10.48597/mp8u-rnvj
title: Measurement of Nitrogen_dioxide at Jarczew

description: Measurement of Nitrogen_dioxide at Jarczew
DOI: 10.48597/xqyy-kjvn
title: Measurement of Nitrogen_dioxide at Jarczew

description: Measurement of Nitrogen_dioxide at Jarczew
DOI: 10.48597/46j8-cd3z
title: Measurement of Nitrogen_dioxide at Jarczew

description: Measurement of Nitrogen_dioxide at Jarczew
DOI: 10.4211/hs.9af20418f699463eb45b5c8075918b77
title: High-Resolution Monitoring of Soil Infiltration Using Distributed Fiber Optic

description: Based on distributed fiber optic monitoring technology for monitoring the infiltration process, corresponding monitoring results are stored.Moisture infiltration will cause the temperature of the soil around the optical fiber to change, thus affecting the monitoring results of the optical fiber. Optical fiber monitoring technology has the advantages of high spatial resolution, corrosion resistance, and stability. The use of optical fiber to monitor the infiltration process has more advantages than traditional infiltration monitoring methods.
DOI: 10.48597/7ajc-c7dm
title: Measurement of Nitrogen_dioxide at Jarczew

description: Measurement of Nitrogen_dioxide at Jarczew
DOI: 10.48597/7jgw-hp9f
title: Measurement of Nitrogen_dioxide at Jarczew

description: Measurement of Nitrogen_dioxide at Jarczew
DOI: 10.4211/hs.f1b83cc7779b4fff88a74cc3d4afa0f9
title: EXO2 Control Level 1 Water Quality Data at Provo River near Soapstone Basic Aquatic (PR_ST_BA) 2021-2023

description: This dataset contains quality control level 1 (QC1) data for all of the variables measured by the EXO2 at Provo River near Soapstone Basic Aquatic (PR_ST_BA) for the time period 2021-2023. Previous data from this site is listed on HydroShare as part of the iUTAH GAMUT Network. The file contains QC1 data for water temperature, specific conductance, pH, dissolved oxygen, turbidity, chlorophyll A, blue green algae, and fDOM. The dataset also includes stage and and water temperature from a standalone pressure transducer. These data have passed QA/QC procedures such as sensor calibration and visual inspection and removal of obvious errors.
DOI: 10.48597/bp5n-fs93
title: Measurement of Nitrogen_dioxide at Jarczew

description: Measurement of Nitrogen_dioxide at Jarczew
DOI: 10.48597/ggb5-kxg5
title: Measurement of Nitrogen_dioxide at Jarczew

description: Measurement of Nitrogen_dioxide at Jarczew
DOI: 10.48597/mu4c-adxa
title: Measurement of Nitrogen_dioxide at Jarczew

description: Measurement of Nitrogen_dioxide at Jarczew
DOI: 10.4211/hs.bd53d08c08504c48a1273010c53d4580
title: Dataset for Nesheim et al. (2024) Assessing impacts of cemeteries on water quality in an urban headwater watershed with mixed human-built infrastructure

description: Cemeteries are understudied integral components to urban watersheds, which provide ecosystem services but can also export nutrients, trace elements, and other contaminants to nearby water bodies. In this study, we focus on Meadowbrook Creek, an urban headwater stream in Syracuse, New York (U.S.), which has shown significant nitrate contributions from a local cemetery. We collected biweekly surface water samples over the course of one year from 2022-2023 for analysis of major and trace elemental concentrations including Na, Ca, Mg, K, F, Cl, sulfate, and nitrate. Here, we aim to assess the impact of various human infrastructure on urban stream water quality with a particular focus on the cemetery and nitrate. A comparison between the new dataset in this study and previously reported water chemistry data in Meadowbrook in 2012 suggests a decade-long impact of road salting and the cemetery on water quality particularly with respect to Na, Cl, and nitrate. Sulfate, Mg, Ca, and K are likely mainly geogenic. Stable nitrogen isotope data, the usage of concrete or steel vaults in the cemetery in the past 50 years, and the lack of correlation between nitrate and fluoride concentrations in stream water argue against burial decay products being a major source of nitrate to the stream. Instead, other nitrate sources that exist in the cemetery, e.g., fertilizer, decaying plant material, and wastewater, are more viable dominant nitrate sources. In addition, nitrate loading calculations indicate that the groundwater-connected reach, including the cemetery, acts as an annual net sink for nitrate despite the seasonally-varying sink-source patterns.
DOI: 10.48597/p4m9-nwcp
title: Measurement of Nitrogen_dioxide at Jarczew

description: Measurement of Nitrogen_dioxide at Jarczew
DOI: 10.48597/48wf-qvjh
title: Measurement of Nitrogen_dioxide at Jarczew

description: Measurement of Nitrogen_dioxide at Jarczew
DOI: 10.48597/879q-t5tt
title: Measurement of Nitrogen_dioxide at Jarczew

description: Measurement of Nitrogen_dioxide at Jarczew
DOI: 10.4211/hs.c874f49441144c1791d717c528092c8e
title: Drinking Water Under Fire: Water Utilities’ Vulnerability to Wildfires in the Pacific Northwest

description: Increased wildfire activity in the western US can lead to detrimental cascading effects to water quality. After fires, burned areas may experience significant runoff-induced erosion and sediment transport into rivers and reservoirs, which could rapidly overwhelm existing drinking water treatment plants. This paper couples an assessment of wildfire risk with an evaluation of water utility preparedness to understand where key fire-related drinking water vulnerabilities exist. Wildfire risk assessments were constructed and expanded from a commonly used methodology co-developed between researchers and water managers (Edel et al., 2002), to understand drinking water impacts on water quality after wildfires. A water utility preparedness index was created for this study using publicly available information to contextualize how well utilities may be able to respond to water quality degradation after fires.
Results indicate that 11% of utilities studied (10% of the population served) were underprepared for fire and 22% of watersheds used were at greater risk of wildfire (9% of the population served). However, over three-quarters of utilities (76% of the population served) showed a moderate risk of fire and some need for improved fire preparedness. information developed here could provide a useful framework from which utility managers can better assess their likely wildfire risk and preparation plans.
DOI: 10.48597/a5rx-dpqy
title: Measurement of Nitrogen_dioxide at Jarczew

description: Measurement of Nitrogen_dioxide at Jarczew
DOI: 10.4211/hs.0e186d2a922e49d0a511af3d91c8d744
title: Clash of drought narratives: A study on the role of small reservoirs in the emergence of drought impacts

description: In regions characterized by a high concentration of small reservoirs, there is often public debate about the effectiveness of these structures in locally adapting to and mitigating drought impacts, bearing in mind their potential to modify or induce drought events in downstream areas. In this study, we investigated the influence of a Dense Network of Small Reservoirs (DNR) on the emergence and intensification of drought impacts at catchment scale, as well as their local social benefits. This analysis was based on the Socio-Hydrological-Agricultural-Reservoir (SHARE) model, specially developed for this purpose, with a medium-sized catchment in the semi-arid region of Brazil as a case study. We identified that, while a DNR can prolong the effects of a hydrological drought on storage in a large strategic reservoir at the catchment outlet by obstructing surface-runoff connectivity, it plays a crucial role in mitigating drought impacts on a local level. Specifically, the presence of small reservoirs has the potential to boost local agricultural production by up to 5 times compared to scenarios without these structures. In addition, our simulation results suggest there is a notable reduction in the need for emergency water distributions by water trucks in the presence of a DNR. This study highlights the need for a balanced approach to implementing public policies, weighing the local benefits of small reservoirs against the possible downstream impacts on large reservoirs.
DOI: 10.48597/c5k3-y4bq
title: Measurement of Nitrogen_dioxide at Jarczew

description: Measurement of Nitrogen_dioxide at Jarczew
DOI: 10.48597/pckq-8p3d
title: Measurement of Nitrogen_dioxide at Jarczew

description: Measurement of Nitrogen_dioxide at Jarczew
DOI: 10.4211/hs.88a7dd97e46143a9bedbca4497fe520a
title: Upper White Stream Monitoring -- Prairie Creek Reservoir

description: The headwater region of the White River is the leading contributor of nitrogen to the Gulf of Mexico across the entire Mississippi River Basin. Recent studies from Ball State University (BSU) and conservation partners, e.g., TNC, have determined that there is inadequate flow data from the region, making it difficult to calibrate hydrological models and support detailed conservation practices. As a result, BSU and TNC contracted with the Ecosystems Connections Institute (ECI), and installed gauging stations at the Prairie Creek Reservoir and immediately downstream. Instrumentation was conducted in August - September 2021 by ECI, with permission/support from the Indiana American Water. Hourly data of water level, water temperature, discharge, and turbidity is monitored since 2021. 
Preliminary analysis has been conducted at Ball State University. The authors welcome discussions and collaborations regarding the usage and/or analysis of the dataset.
DOI: 10.48597/s2be-83s9
title: Measurement of Nitrogen_dioxide at Jarczew

description: Measurement of Nitrogen_dioxide at Jarczew
DOI: 10.48597/5yry-c96k
title: Measurement of Nitrogen_dioxide at Jarczew

description: Measurement of Nitrogen_dioxide at Jarczew
DOI: 10.48597/9k42-rhsv
title: Measurement of Nitrogen_dioxide at Jarczew

description: Measurement of Nitrogen_dioxide at Jarczew
DOI: 10.48597/e7b7-ftbq
title: Measurement of Nitrogen_dioxide at Jarczew

description: Measurement of Nitrogen_dioxide at Jarczew
DOI: 10.4211/hs.dd7ed05798c04fa8b6b04a422d5218d5
title: Bed sediment size distributions from pebble counts for streams in or near Cuyahoga County, Ohio

description: This dataset contains stream bed material size distributions for 39 stream reaches along 12 streams in and near Cuyahoga County, Ohio. All data were collected using the Wolman pebble count technique (Wolman, 1954), in either transect or zig-zag forms (Bunte and Abt, 2001). Data were collected between 2016 and 2023 over the course of several projects.
DOI: 10.48597/gmxu-wwzz
title: Measurement of Nitrogen_dioxide at Jarczew

description: Measurement of Nitrogen_dioxide at Jarczew
DOI: 10.48597/hd3r-s96a
title: Measurement of Nitrogen_dioxide at Jarczew

description: Measurement of Nitrogen_dioxide at Jarczew
DOI: 10.48597/u3ya-85mq
title: Measurement of Nitrogen_dioxide at Jarczew

description: Measurement of Nitrogen_dioxide at Jarczew
DOI: 10.4211/hs.87b00d9dd3214ecba85200cca9d6a9cd
title: Adjusted Paleo-Conditioned Hydrology Ensemble that Characterizes Warming-Driven Declining Streamflow in the Colorado River Basin

description: This resource contains streamflow sequences (or traces or time series) for the adjusted paleo-conditioned ensemble generated to represent the plausible storyline of "Increasing Variability Around a Declining Mean" in the Colorado River Basin, as described by Salehabadi, Tarboton et al. (2024). This warming-driven declining streamflow ensemble was created by adjusting the marginal distribution of stationary streamflow time series, generated using the Nonparametric Paleo-Conditioning (NPC) method (Prairie et al., 2008), to incorporate the estimated decline and increasing variability of future flow. The streamflow data is available in two formats: Excel Files and CRSS-Ready-To-Use Input Files, with a starting year of 2024 and an ending year of 2100. CRSS-Ready-To-Use Input Files include all necessary water supply data required to run the Colorado River Simulation System (CRSS) and are ready to be directly imported into the model.

This resource holds the data generated in:
Salehabadi, H., Tarboton, D. G., Wheeler, K. G., Prairie, J., Smith, R., & Baker, S. (2024). Developing Storylines of Plausible Future Streamflow and Generating a New Warming-Driven Declining Streamflow Ensemble: Colorado River Case Study. Water Resources Research. https://doi.org/10.1029/2024WR038618
DOI: 10.48597/5dt8-w5qd
title: Measurement of Nitrogen_dioxide at Jarczew

description: Measurement of Nitrogen_dioxide at Jarczew
DOI: 10.48597/bdqb-7vn8
title: Measurement of Nitrogen_dioxide at Jarczew

description: Measurement of Nitrogen_dioxide at Jarczew