cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.4211/hs.7d960b7fdfee480895fd845bade1b75a
title: Stream Temperature Seasonal Thermal Regime Data

description: This resource contains analysis code and downloaded stream temperature data (from USGS NWIS) used to develop an analysis of stream seasonal thermal regimes in the United States.  The R Notebook, `analysis.Rmd`, will reproduce all supporting analysis and generate figures when run with the data files downloaded into a `Data` subdirectory of the working directory.  `analysis.Rmd` calls more involved functions from `functions.R`.  The knitted version of the notebook is also included as `analysis.pdf`.

To run the Notebook, in the working directory there must be a `Data` directory containing the data files and a `Figures` directory with a `MovingWindowSeasons` subdirectory, where figures will be stored.  For map generation, `functions.R` will also look for an EPA Level I Ecoregions (https://gaftp.epa.gov/EPADataCommons/ORD/Ecoregions/cec_na/na_cec_eco_l1.zip) shapefile in an `Ecoregions` directory.

These data and related items of information have not been formally disseminated by NOAA, and do not represent any agency determination, view, or policy.
DOI: 10.48597/m43k-dtcg
title: Measurement of Nitrogen_dioxide at Leba

description: Measurement of Nitrogen_dioxide at Leba
DOI: 10.4211/hs.67b98bd29ab249bd9dea4873d1a00e27
title: Experimental data for "Radial displacement patterns of shear-thinning fluids in a Hele-Shaw cell considering the effect of deformation"

description: This resource contains the datasets for the manuscript "Radial displacement patterns of shear-thinning fluids in a Hele-Shaw cell considering the effect of deformation", including three Excel files for the data of the displacement experiments of silicone oil by 0.1wt%, 0.3wt%, and 0.5wt% polymer solutions.
DOI: 10.48597/rwnu-eeda
title: Measurement of Nitrogen_dioxide at Leba

description: Measurement of Nitrogen_dioxide at Leba
DOI: 10.48597/wsjj-72ya
title: Measurement of Nitrogen_dioxide at Leba

description: Measurement of Nitrogen_dioxide at Leba
DOI: 10.4211/hs.b10b7c5b64c246308524238586e2fb9b
title: Aspect differences in vegetation type drive higher evapotranspiration on a pole-facing slope in a California oak savanna

description: Quantifying the spatiotemporal variability in evapotranspiration is critical to accurately predict vegetation health, groundwater recharge, and streamflow generation. Differences in hillslope aspect, the direction a hillslope faces, result in variable incoming solar radiation and subsequent vegetation water use that influence the timing and magnitude of evapotranspiration. Previous work in forested landscapes has shown that equator-facing slopes have higher evapotranspiration due to more direct solar radiation and higher evaporative demand. However, it remains unclear how differences in plant functional groups (i.e., grasses and trees) influence evapotranspiration and water partitioning between hillslopes with opposing aspects. Here, using field-based measurements of soil water storage and oak tree and grass transpiration, and remotely-sensed evapotranspiration and normalized vegetation difference index, we quantified evapotranspiration and subsurface water storage deficits between a pole-facing and equator-facing hillslopes with contrasting vegetation types within central coastal California. Our results suggest that cooler pole-facing slopes with oak trees have higher evapotranspiration than warmer equator-facing slopes dominated by grasses, which is counter to previous work done in landscapes with singular vegetation types. Our water storage deficit calculations indicate that the pole-facing slope has a higher subsurface storage deficit and a larger seasonal dry down than the equator-facing slope. This aspect difference in subsurface water storage deficits may influence subsequent deep groundwater recharge and streamflow generation. In addition, larger root-zone storage deficits on pole-facing slopes may reduce their ability to serve as hydrologic refugia for oaks during periods of extended drought. This research provides a novel integration of field-based and remotely-sensed estimates of evapotranspiration required to properly quantify hillslope-scale water balances. These findings emphasize the importance of resolving hillslope-scale vegetation structure within Earth system models, especially in landscapes with diverse plant functional groups.
DOI: 10.48597/xkf4-gqcz
title: Measurement of Nitrogen_dioxide at Leba

description: Measurement of Nitrogen_dioxide at Leba
DOI: 10.15468/dl.nex7j5
title: Occurrence Download

description: A dataset listing the 13 species recorded in GBIF matching the query:
{
 "DatasetKey" : [
 "is Hongos formadores de micorrizas arbusculares de la transición Andino-Amazónica del departamento del Caquetá - Proyecto Colombia BIO"
 ]
}

 The dataset's 13 records were derived from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0049983-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.4211/hs.63adb616ad5b4b6386a27daa0c64ded0
title: Hydro-meteorological data for Upper Indus Basin

description: This dataset stems from my PhD research on climate change hydrological impacts in the Upper Indus Basin (UIB). The available hydro-meteorological data for UIB, typical of challenging mountainous terrains, suffer from coverage and quality issues, especially at higher altitudes where weather stations are scarce. Consequently, the existing data fail to capture winter precipitation at higher altitudes and temperature variations in elevated areas.
To address these limitations, the provided data was generated and used as input for the SWAT hydrological model. This adjusted dataset, suitable for direct input to SWAT or similar models, was interpolated to sub-basin centroids (173 sub-basins). It includes "precipitation," "Temperature," "Humidity," "Solar-radiation," and "wind."
The methodology used for data generation is detailed in two publications:
•	Khan, A.J.; Koch, M. "Correction and Informed Regionalization of Precipitation Data in a High Mountainous Region (Upper Indus Basin) and Its Effect on SWAT-Modelled Discharge," Water 2018, 10, 1557. https://doi.org/10.3390/w10111557
•	Khan, A.J.; Koch, M. "Generation of a long-term daily gridded precipitation dataset for the Upper Indus Basin (UIB) through temporal Reconstruction, Correction & Informed Regionalization-‘ReCIR’," International Soil and Water Conservation Research, Volume 9, Issue 3, 2021, Pages 445-460, ISSN 2095-6339, https://doi.org/10.1016/j.iswcr.2021.01.005.
In summary, this study aimed to create a realistic daily gridded precipitation dataset (1961–2010) for UIB, incorporating orographic adjustments. The procedure involved temporal reconstruction of precipitation series, regionalization, and adjustments for orographic effects and glacier storage changes. The resulting dataset was validated through SWAT-modelled streamflow responses, demonstrating consistency with observed flows across the UIB. The spatial distribution pattern of the reconstructed (1961–1996) and reference (1997–2008) precipitation also aligns with the atmospheric circulation pattern in the region.
DOI: 10.4211/hs.bd2b1ec6ac94441db3acdfddb97c1bfa
title: Bias corrected and downscaled climate projections over Upper Indus Basin (based on CORDEX-RCM'S)

description: This dataset is a by-product of my doctoral research on the hydrological impacts of climate change in the Upper Indus Basin (UIB). 

The data provided here covers the full extent of UIB and is provided as bias-corrected and downscaled versions of 5 RCM-GCM experiments (by CORDEX-SA). The "Precipitation" (PCP), and "Temperature" (TMP) projections are in the shape of “point data” for 173 sub-basin centroids, in a ready-to-use format for input to SWAT hydrological model. Additionally, data (with future dates) for other required parameters by the Hydrological Model “SWAT”, such as "Humidity" (RHU), "Solar-radiation" (SLR), and "wind" (WND) is also provided.

It includes bias-corrected and downscaled projections from selected General Circulation Models (GCMs) under the RCP 4.5 and RCP 8.5 scenarios. The selection process involved evaluating GCMs based on mean and extreme changes, as well as their ability to reproduce past climate. To account for uncertainties in high mountainous regions like the UIB, a wide range of future GCM climate projections, including wet-warm, wet-cold, dry-warm, and dry-cold scenarios, were considered. The final selection of GCMs was based on a weighted score assigned to each criterion.

It was found that the Coordinated Regional Downscaling Experiment (CORDEX) already had RCM data for our “top-ranked” GCMs, therefore Dynamically downscaled climate projections from five CORDEX-SA experiments *(IPSL-CM5A-MR_RCA4, MPI-ESM-LR_RCA4, NorESM1-M_RCA4, Can ESM2_RegCM4-4, and GFDL-ESM2M_RCA4)* were downloaded and further statistically downscaled (bias-corrected) over the UIB. These experiments used two different Regional Climate Models (RCMs), RCA4 and RegCM4, resulting in finer-scale outputs (0.44°) than the source GCMs.

The downscaled projections for the year 2100 indicate temperature increases ranging from 2.3°C to 9.0°C and precipitation changes ranging from a slight annual increase of 2.2% under drier scenarios to a high increase of 15.9% in wet scenarios. In all scenarios, future precipitation is expected to be more extreme, with a decrease in the probability of wet days and an increase in precipitation intensities. Spatially, there is a distinct precipitation decrease over the southeastern parts of the basin and an increase in the northeastern parts, particularly pronounced in "Dry-Warm" and "Median" scenarios over the late 21st century.

Full details of the study can be found at:

Khan, A.J.; Koch, M. Selecting and Downscaling a Set of Climate Models for Projecting Climatic Change for Impact Assessment in the Upper Indus Basin (UIB). Climate 2018, 6, 89. https://doi.org/10.3390/cli6040089
DOI: 10.4211/hs.e5c0e11d49d24762a7edc82e1adea70c
title: Aridity Index Mapper Google Earth Engine App

description: The aridity index also known as the dryness index is the ratio of potential evapotranspiration to precipitation. The aridity index indicates water deficiency. The aridity index is used to classify locations as humid or dry.  The evaporation ratio (evaporation index) on the other hand indicates the availability of water in watersheds. The evaporation index is inversely proportional to water availability. For long periods renewable water resources availability is residual precipitation after evaporation loss is deducted. These two ratios provide very useful information about water availability. Understating the powerful potential of the aridity index and evaporation ratio, this app is developed on the Google Earth Engine using NLDAS-2 and MODIS products to map temporal variability of the Aridity Index and Evaporation ratio over CONUS. The app can be found at https://cartoscience.users.earthengine.app/view/aridity-index.
DOI: 10.4211/hs.bf66a6cc204d4691abda18833bf68760
title: Fast Flood Monitoring Tool - FFMT

description: You can access the app using the following link: https://turnkey-aleph-386916.projects.earthengine.app/view/geefastfloodmonitoring

This App provides intuitive web-based visualization tools to facilitate easy assessment of flood extents.

We hope this app provides tools to facilitate flood monitoring tasks. For example, users can define a flood period, select a location, and draw a boundary to observe the flood extent conditions in their area of interest. Through this App, our aim is to empower decision-makers, first responders, and other stakeholders with clear, useful information, enabling them to better understand, prepare for, and respond to treacherous flooding hazards. This information is crucial, considering the populations, infrastructure facilities, urban area, and cropland at risk.

App created by Ebrahim Hamidi (University of Alabama) and reviewed by Brad G. Peter (University of Arkansas), funded by the National Science Foundation INFEWS Program and the U.S. Army Corps of Engineers. Also, partial support for development of this App is awarded through CUAHSI’s 2023 Hydroinformatics Innovation Fellowship (HIF).
DOI: 10.4211/hs.25bfbca3bfc042a89c90015a67e7ab32
title: Yampa River 2011 DEM - Deerlodge Park

description: The dataset contains a digital elevation model (DEM) derived from a 2011 LiDAR survey of the Yampa River collected by the Utah State University LASSI Service Center. The DEM only contains the Yampa River in Deerlodge Park within Dinosaur National Monument, Colorado. LiDAR data was collected within Yampa Canyon but is not included in this release. Contact the Center for Colorado River Studies at Utah State University for the entire LiDAR dataset. This data release also includes the shapefile for the delineated channel boundaries in 2013 and 2019 and tables S2 and S3 in Leonard et al. (2023).
DOI: 10.4211/hs.30c565eca0404bb58bffcb4c990721f8
title: Bournbrook water quality data at Univerisity of Birmingham UK

description: In-situ high frequency monitoring of water quality variables was conducted from October 2021 to October 2022 in the Bourn Brook, Birmingham, UK. Humic-like fluorescence (HLF, excitation wavelength: 325 nm, emission wavelength: 470 nm) and Tryptophan-like fluorescence (TLF, excitation wavelength: 275 nm, emission wavelength: 350 nm) were monitored using a Manta 2 multiparameter sonde (Eureka, TX, USA), which was also equipped with sensors for ancillary measurements of electric conductvity, turbidity and water temperature. Additionally, a pressure transducer (CS420-L, Druck Inc., Billerica, Massachusetts) was installed in an adjacent stilling well for water level measurements. The Manta 2 was internally configured to log a measurement every 5 minutes, while the pressure transducer was controlled by a CR1000X datalogger (Campbell Scientiﬁc, Logan, USA) logging at 1 min intervals. Both these devices were powered by 12V batteries. In addition, meteorological variables (precipitation and air temperature) were also collected from a weather station operated by the University of Birmingham, located ~1 km from our water quality monitoring station.
DOI: 10.4211/hs.dd79c52e1125472dac602f7aa836165c
title: Mountain Groundwater data from Canada and the US

description: This data and R code accompanies a submitted journal article. The manuscript abstract is as follows:

Mountains have a critical role in freshwater supply for downstream populations. As the climate changes, groundwater stored in mountains may help buffer the impacts to declining water resources caused by decreased snowpack and glacier recession. However, given the scarcity of groundwater observation wells in mountain regions, it remains unclear how mountain groundwater is being impacted by climate change across ecoregions. This study quantifies temporal trends in mountain groundwater levels and explores how various climatic, physiographic, and anthropogenic factors affect these trends. We compiled data from 171 public groundwater observation wells within mountain regions across Canada and the United States, for which at least 20 years of monthly data is available. The Mann-Kendall test for monotonic trend revealed that 54% of these wells have statistically significant temporal trends (p < 0.05) over the period of record, of which 69% were negative and therefore indicating overall declining groundwater storage. Wells in the western mountain ranges showed stronger trends (both positive and negative) than the eastern mountain ranges, and higher elevation wells showed fewer negative trends than the low elevation (< 400 m asl) wells (p < 0.05). Correlation, Kruskal-Wallis tests, stepwise multiple linear regression and random forest regression were used to identify factors controlling groundwater trends. Statistical analysis revealed that lower-elevation mountain regions with higher average annual temperatures and lower average annual precipitation have the greatest declines in groundwater storage under climate change. Trends in temperature and precipitation, and ecoregion were also important predictors on groundwater level trends, highlighting geographic differences in how mountain wells are responding to climate change. Furthermore, sedimentary bedrock aquifers showed markedly more negative trends than crystalline bedrock aquifers. The findings demonstrate that the impact of climate change on mountain water resources extends to the subsurface, with important implications for global water resources.
DOI: 10.4211/hs.5d326d1f18aa40738bf8bd7ec6e65eb9
title: Riparian groundwater nitrogen (N) isotopes reveal human imprints of dams and road salt salinization

description: Groundwater nitrate-N isotopes (δ15N-NO3-) have been used to infer the effects of natural and anthropogenic change on N cycle processes in the environment. Here we report unexpected changes in groundwater δ15N-NO3- for riparian zones affected by relict milldams and salinization. Contrary to natural conditions, groundwater δ15N-NO3- values declined from the upland edge through the riparian zone and were lowest near the stream. Groundwater δ15N-NO3- values increased for low electron donor (dissolved organic carbon and iron) to acceptor (NO3-) ratios but decreased beyond a specific change point. Groundwater δ15N-NO3- values were particularly low for the riparian milldam site subjected to road-salt salinization. We attributed these N isotopic trends to suppression of denitrification, occurrence of dissimilatory nitrate reduction to ammonium (DNRA), and/or road salt salinization. Groundwater δ15N-NO3- can provide valuable insights into process mechanisms and can serve as “imprints” of anthropogenic activities and legacies.
DOI: 10.4211/hs.3fa46a0a96cb47219aab2230ad141a42
title: Volunteer Accuracy in a Benthic Macroinvertebrate Participatory Science Project - Data and Code

description: The data and R code provided here are the underpinnings of a manuscript in the journal, Citizen Science: Theory and Practice (Volunteer Accuracy in a Benthic Macroinvertebrate Participatory Science Project). Volunteer-derived aquatic macroinvertebrate identifications and resulting water quality metrics are compared to results from a professional entomologist. The assessment included a total of 357 benthic macroinvertebrate quality control (QC) samples collected by volunteers using leaf packs, kick nets, and visual assessments between 2011 and 2016 for the Environmental Quality Institute (EQI) in North Carolina, USA. Of the 357 total samples, 284 were of sufficient quality to be used in the analysis. Data incudes counts of organisms conducted by volunteers on each sample and counts conducted by an entomologist. Macroinvertebrate index values are calculated based on volunteer and entomologist counts and are compared using linear regression and Bray-Curtis dissimilarity methods.
DOI: 10.4211/hs.fc7d35c92e554fd098792550150bf227
title: Pilot Study on Tracing Fugitive Dust from the Parleys Canyon Kilgore Quarry, Utah.

description: Strontium (Sr) isotopes, particularly the 87Sr/86Sr ratio, are increasingly utilized in dust studies for identifying sources and tracking transport pathways. This pilot study conducted in Millcreek City, Utah, USA, leverages Sr isotopes as a tracer to quantify the contribution of dust from the Kilgore Quarry, near the mouth of Parley's Canyon, to local dust deposition. A dust sample was collected from the exterior wall of a utility shed in the Canyon Rim neighborhood, where it has been accumulating dust transported by canyon winds over several years. Analysis of the dust sample was performed in the University of Utah's Geology and Geophysics Department's ICPMS laboratory.

Comparison with baseline Sr isotope ratios from dust samples collected in the Salt Lake City area in 2017-2018 and bedrock samples from the TwinCreek Limestone were undertaken. The data indicated that the Canyon Rim dust sample had a significantly different Sr isotope ratio compared to the baseline, suggesting a distinct dust source. Utilizing a mass fractionation estimate, it was determined that approximately 60.35% of the dust sample was sourced from the Kilgore Quarry. Wind data collected at the quarry site by UDOT since 2008 further corroborated this finding, indicating prevailing winds that align with Parleys Canyon's axis, thereby facilitating dust transport from the quarry to the Salt Lake Valley.

This study underscores the effectiveness of Sr isotopes in dust source identification, demonstrating that a significant portion of dust in the study area can be attributed to the Kilgore Quarry. The results underline the importance of dust management at the quarry to minimize environmental and potential health impacts. The study also sets a precedent for further investigations that could provide additional insights into dust sources and transport pathways, aiding in environmental protection and public health initiatives.
DOI: 10.4211/hs.f515894114b04850b8af564bf425f672
title: Quantifying Methane in Mediterranean-climate Reservoirs

description: The dataset supports the findings of the manuscript entitled: Navigating Greenhouse Gas Emission Unknowns: A Hydroacoustic Examination of Mediterranean Climate Reservoirs. The manuscript presents results based on in-situ monitoring at 6 different Mediterranean-climate reservoirs. Uvas, Chesbro, Stevens Creek, and Almaden reservoirs are located in the Santa Clara Valley Water District, San Jose, California, USA. Iznajar and Cubillas reservoirs are located near the city of Granada, in southern Spain. The monitoring of the California reservoir was conducted from October 2020 to August 2023. The monitoring for Iznajar and Cubillas occured in September 2022. The main goal of the monitoring was to measure the spatial variability of gas storage in submerged reservoir sediments and how it compared to locations of bubbling hotspots. The free gas stored in the sediment matrix was derived from an extended version of a pre-existing model using the maximum backscatter of the acoustic return collected during a hydroacoustic survey. We found that the previously established model tended to underestimate gas storage in shallower, siltier areas and overestimate it in larger-grained sediment zones. In response, we introduced a refined model that clarifies gas volume patterns across sediment types. The findings are discussed in the manuscript. 

Therefore, the dataset provided as an xlsx file includes separate sheets for: 
- Sediment measurements of % H2O, loss on ignition (LOI), Organic Carbon (OrgC), particle size distribution.
- Measured free gas in the sediment for all study sites.
- Concentration of CO2, CH4, and N2O in free gas for all study sites. 
- Sediment type for Uvas reservoir.
- Sonde and CTD profiles for the summer 2021 acoustic survey on Uvas reservoir. 
- Gas content in the sediment estimated from the 2021 acoustic survey on Uvas reservoir

Explanations and units are provided in column labels. NaN refers to missing data.