cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.4211/hs.975192a606414b90aec5bef08a061db7
title: Dexter Pit Lake 8-3-2017

description: Residual pit lakes from mining are often dangerous to sample for water quality. Thus, pit lakes may be rarely (or never) sampled. Water-sampling devices were mounted on an unmanned aerial vehicle (UAV) to improve safety and efficiency during water sampling. Data gathered during this sampling campaign assessed 2017 conditions of the Dexter pit lake by comparing constituent concentrations to the Nevada Division of Environmental Protection (NDEP) pit lake water quality requirements. The results showed that all constituent meet the requirements except selenium.
DOI: 10.4211/hs.9460830270ec4d8b9d9c4260cca2114d
title: Edge of field runoff for the Great Lakes Region

description: Non-point source pollution has been attributed as the cause of significant surface water quality concerns in the Great Lake Region. Over a hundred edge-of-field (EOF) runoff observational sites, which consist of hydrologic and meteorologic instruments are available at the edge of individual agricultural fields across the states in the region, are installed to measure and record runoff timing and magnitude. Conservation partners, such as Discovery Farms (Wisconsin and Minnesota), USGS, and USDA-ARS, provided the observational data. The identities of individual sites are removed to ensure anonymity. The selected model outputs of the National Water Model from the year 2004 - 2018 at the 250m x 250m grid are combined with the EOF measurements of the same location.
DOI: 10.15468/dl.bvmxwg
title: Occurrence Download

description: A dataset containing 1531 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON ((-3.990003 40.978639, -3.991534 41.019025, -4.044898 41.019025, -4.043346 40.978639, -3.990003 40.978639))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 2015",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 1531 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0049956-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.4211/hs.6e102de63a7943e1900aa8c6a8d412ac
title: Data from Harmon et al. (2021), Exploring environmental factors that drive diel variations in tree water storage using wavelet analysis

description: These data are published in Harmon, R., Barnard, H., Day-Lewis, F.D., Mao, D., and Singha, K. (2021). Exploring environmental factors that drive diel variations in tree water storage using wavelet analysis. Frontiers in Water, doi: 10.3389/frwa.2021.682285.

Internal water storage within trees can be a critical reservoir that helps trees overcome both short- and long-duration environmental stresses. We monitored changes in internal tree water storage in a ponderosa pine using moisture probes, a dendrometer, and time-lapse electrical resistivity imaging (ERI) to investigate how patterns of in-tree water storage are affected by changes in sapflow rates, soil moisture, and meteorologic factors such as vapor pressure deficit. ERI measurements are influenced by changes in moisture, temperature, solute concentration, and material properties; thus, to evaluate changes in moisture based on ERI, the first three factors must be considered. Measurements of xylem fluid electrical conductivity were constant in the early growing season, while inverted sapwood electrical conductivity steadily increased, suggesting that increases in electrical conductivity of the sapwood did not result from an increase xylem fluid electrical conductivity. Seasonal increases in stem electrical conductivity corresponded with seasonal increases in trunk diameter, suggesting that increased electrical conductivity may result from new growth. Changes in diel amplitudes of inverted sapwood electrical conductivity, which correspond to diel changes in sapwood moisture, indicated that tree water storage use was greatest ~4-5 days after storm events, when sapwood inverted electrical conductivity measurements suggest internal stores were high. A decrease in diel amplitudes of inverted sapwood electrical conductivity during dry periods, suggest that the ponderosa pine relied on internal water storage to supplement transpiration demands, but as drought conditions progressed, tree water storage contributions to transpiration decreased. Wavelet analyses indicated that lag times between inverted sapwood electrical conductivity and sapflow increased after storm events, suggesting that as soils dried reliance on internal water storage increased and the time required to refill daily deficits in internal water storage increased. Lag times peaked when soil moisture returned to pre-storm event levels and then decreased as drought progressed. Short time lags between sapflow and inverted sapwood electrical conductivity corresponded with dry conditions, when ponderosa pine are known to reduce stomatal conductance to avoid xylem cavitation. Time-lapse ERI- and wavelet-analysis results highlighted the important role internal tree water storage plays in supporting transpiration throughout the course of a day, and during periods of declining subsurface moisture.
DOI: 10.4211/hs.da5eac92f1ff442980916d0cc58d0aa1
title: A daily fog deposition data set for Germany (1949-2018)

description: This dataset contains the daily fog deposition for the years 1949 to 2018 calculated with the "REAL-Fog"-approach. The unit is mm/day, the spatial resolution 1 km². Annual zip archives contain the daily grid ascii files.
DOI: 10.4211/hs.14741342323941de8012c1add7d98bd6
title: Nevada Pit Lakes

description: Residual pit lakes from mining are often dangerous to sample for water quality. Thus, pit lakes may be rarely (or never) sampled. This study developed new technology in which water-sampling devices mounted on an unmanned aerial vehicle (UAV) were used to sample five pit lakes in Nevada, USA during one week in 2017. Three of these pit lakes are located on public lands and two are located on private land owned by mining entities. Water-quality datasets from two of the three pit lakes on public lands, Dexter and Clipper are presented here. The current conditions of the Dexter pit lake were assessed by examining cation and anion concentration trends over a 17-year time period since the pit lake was last sampled in 2000. We compared our sampling data to prior water-quality data from the Dexter pit lake received from the authors of Balistrieri et al. (2006).  This comparison for the Dexter pit lake showed the effect of evapoconcentration in increasing cation and anion concentrations. This approach can potentially incorporate the use of additional multi-parameter probes: pH, oxygen concentration, turbidity and chlorophyll. Some limitations of this UAV water sampling methodology are battery duration, weather conditions and payload capacity.
DOI: 10.4211/hs.04ffa7addd894fd2b51510e23ad725a1
title: Boss Pit Lake Profile 7-30-17

description: Residual pit lakes from mining are often dangerous to sample for water quality. Thus, pit lakes may be rarely (or never) sampled. This study developed new technology in which water-sampling devices mounted on an unmanned aerial vehicle (UAV) were used to sample five pit lakes in Nevada, USA during one week in 2017. Three of these pit lakes are located on public lands and two are located on private land owned by mining entities. A profile was taken of the Boss pit lake with a conductivity, temperature and depth profiler on July, 30 2017. This approach can potentially incorporate the use of additional multi-parameter probes: pH, oxygen concentration, turbidity and chlorophyll. Some limitations of this UAV water sampling methodology are battery duration, weather conditions and payload capacity.
DOI: 10.4211/hs.6461528501c14f7c9d6b10d20dd4f657
title: Global Flood Database

description: ## Global Flood Database Scripts & Data

This repository includes code and supporting data for the Global Flood Database. This include descriptions of the data and code, and how they relate to *Tellman et al, Satellite observations indicate increasing proportion of population exposed to floods*
DOI: 10.4211/hs.e8b8dc7d99ac4edbbbbe2ac685197b75
title: Clipper Pit Lake Profile 8-1-17

description: Residual pit lakes from mining are often dangerous to sample for water quality. Thus, pit lakes may be rarely (or never) sampled. This study developed new technology in which water-sampling devices mounted on an unmanned aerial vehicle (UAV) were used to sample five pit lakes in Nevada, USA during one week in 2017. Three of these pit lakes are located on public lands and two are located on private land owned by mining entities. A profile was taken of the Clipper pit lake with a conductivity, temperature and depth profiler on August 1, 2017. This approach can potentially incorporate the use of additional multi-parameter probes: pH, oxygen concentration, turbidity and chlorophyll. Some limitations of this UAV water sampling methodology are battery duration, weather conditions and payload capacity.
DOI: 10.4211/hs.7b77c767e68d4c8b906ca2c659431ffe
title: Dexter Pit Lake Profile 8-3-17

description: Residual pit lakes from mining are often dangerous to sample for water quality. Thus, pit lakes may be rarely (or never) sampled. This study developed new technology in which water-sampling devices mounted on an unmanned aerial vehicle (UAV) were used to sample five pit lakes in Nevada, USA during one week in 2017. Three of these pit lakes are located on public lands and two are located on private land owned by mining entities. A profile was taken of the Dexter pit lake with a conductivity, temperature and depth profiler on August 3, 2017. This approach can potentially incorporate the use of additional multi-parameter probes: pH, oxygen concentration, turbidity and chlorophyll. Some limitations of this UAV water sampling methodology are battery duration, weather conditions and payload capacity.
DOI: 10.4211/hs.9bbb8d8f688d48ffb92ce054316480ff
title: UAV Flight Times & Sample Depths - Clipper Pit Lake

description: Residual pit lakes from mining are often dangerous to sample for water quality. Thus, pit lakes may be rarely (or never) sampled. This study developed new technology in which water-sampling devices mounted on an unmanned aerial vehicle (UAV) were used to sample five pit lakes in Nevada, USA during one week in 2017. A 1.2L Niskin sample bottle was attached to a DJI Matrice 600 to retrieve water samples at depth and the surface. Flight times and sample depths for the Clipper pit lake are presented here. This approach can potentially incorporate the use of additional multi-parameter probes: pH, oxygen concentration, turbidity and chlorophyll. Some limitations of this UAV water sampling methodology are battery duration, weather conditions and payload capacity.
DOI: 10.4211/hs.78204da33bd045828275b0fe043a1b14
title: UAV Flight Times and Sample Depths - Dexter Pit Lake

description: Residual pit lakes from mining are often dangerous to sample for water quality. Thus, pit lakes may be rarely (or never) sampled. This study developed new technology in which water-sampling devices mounted on an unmanned aerial vehicle (UAV) were used to sample five pit lakes in Nevada, USA during one week in 2017. A 1.2L Niskin sample bottle was attached to a DJI Matrice 600 to retrieve water samples at depth and the surface. Flight times and sample depths for the Dexter pit lake are presented here. This approach can potentially incorporate the use of additional multi-parameter probes: pH, oxygen concentration, turbidity and chlorophyll. Some limitations of this UAV water sampling methodology are battery duration, weather conditions and payload capacity.
DOI: 10.4211/hs.0cb8fe11690e4137aa91744f94448671
title: Tropical Cyclone Precipitation in the HighResMIP Atmosphere-only Experiments of the PRIMAVERA Project

description: This study examines the climatology and structure of rainfall associated with tropical cyclones (TCs) based on the atmosphere-only Coupled Model Intercomparison Project Phase 6 (CMIP6) HighResMIP runs of the PRocess-based climate sIMulation: AdVances in high resolution modelling and European climate Risk Assessment (PRIMAVERA) Project during 1979–2014. We evaluate how the spatial resolution of climate models with a variety of dynamic cores and parameterization schemes affects the representation of TC rainfall. These HighResMIP atmosphere-only runs that prescribe historical sea surface temperatures and radiative forcings can well reproduce the observed spatial pattern of TC rainfall climatology, with high-resolution models generally performing better than the low-resolution ones. Overall, the HighResMIP atmosphere-only runs can also reproduce the observed percentage contribution of TC rainfall to total amounts, with an overall better performance by the high-resolution models. The models perform better over ocean than over land in simulating climatological total TC rainfall, TC rainfall proportion and TC rainfall per TC in terms of spatial correlation. All the models in the HighResMIP atmosphere-only runs underestimate the observed composite TC rainfall structure over both land and ocean, especially in their lower resolutions. The underestimation of rainfall composites by the HighResMIP atmosphere-only runs is also supported by the radial profile of TC rainfall. Overall, the increased spatial resolution generally leads to an improved model performance in reproducing the observed TC rainfall properties.
DOI: 10.4211/hs.205aff2822dc409ca0b0ab5d9a246e5b
title: Geospatial Analysis of Tree Canopy Cover for Streams in the Contiguous United States

description: The goal of this Resource is to estimate the fraction of stream length in the contiguous United States covered by dense tree canopy described in greater detail in the research paper Maghami et al. (2021). To find out more information about this Resource and the steps to reproduce this geospatial analysis, please refer to the readme file.
DOI: 10.4211/hs.7fcf864f87f546f090063f7dc1690920
title: Expanding SWOT discharge series using the drainage area ratio method

description: This resource contains five R-markdown scripts that process and analyze the connections between MERIT Hydro River reaches of the Mississippi River for Surface Water and Ocean Topography (SWOT) satellite observable rivers.  The first code calculates the cumulative amount of urban land area for each reach in the basin. The second code relates the reaches, linking them based on drainage area ratios between 0.01 and 100. It filters these relationships based on whether a SWOT measurement could be donated from one location to the other via the drainage area ratio method, dam locations, and the amount of urban area between locations. Then, the potential increase in SWOT observations throughout the basin is calculated. The third code takes 373 gauges in the river basin and calculates Kling-Gupta Efficiency (KGE) values assessing the potential of using the drainage area ratio method among the gauges. The fourth assesses the impact dams, reservoirs, and urban area have on KGE values obtained. Finally, the fifth code expands simulated SWOT time series using the qualified drainage area ratio method and compares the expansion to daily discharges by first transforming each time series into a Log Pearson Type III distribution. KGE values between quantiles of each distribution are calculated and the Kolmogorov-Smirnov and Student t significance tests are performed. These codes and their associated text files serve as the resources for the study, "Leveraging river network topology and regionalization to expand SWOT-derived river discharge time series in the Mississippi River Basin" (doi:10.3390/rs13081590).
DOI: 10.4211/hs.71ae1df804b6474baee58c1fe93953d0
title: Upper Elbow River Watershed Silica, Sulfate, Tritium

description: These data were collected between 2016-2018 upstream of Elbow Falls in Kananaskis, Alberta  50°52'4.62"N/114°46'44.19"W
The source partitioning code is formatted for R
DOI: 10.4211/hs.476a188d9f894a77a3ed404949680cab
title: Supplementary Data to Fully Coupled Flow Path-Reaction Model

description: This resource is linked to the following manuscript:
Nogueira et al.: "Transit-time and temperature control the spatial patterns of aerobic respiration and denitrification in the riparian zone"

The observational data, as well as model files and scripts stored at this repository was used for the development and further analyses of the fully coupled flow path-reaction model, supporting the study carried out at the Selke stream floodplain, central Germany.

>The data presented here include the field observations used for model creation (e.g., topography data), and its further calibration and evaluation (e.g., stream discharge, hydraulic heads, and tracer concentrations). Additional HydroGeoSphere model files (e.g., grok file, soil property files) are also provided.
>The script used for the coupled flow path-reaction model is also provided as originally written (in MatLab language) with a txt extension.
>Details on each file and collected data are provided on the "Read_me.txt" file below.
DOI: 10.4211/hs.730be8a9e2b34d8dbaa70680c50e8831
title: Perry Canyon, Nevada.  Acid Mine Drainage and UAS remote sensing

description: Weathering and transport of potentially acid generating material (PAGM) at abandoned
mines can degrade downstream environments and contaminate water resources. Monitoring the
thousands of abandoned mine lands (AMLs) for exposed PAGM using ﬁeld surveys is time intensive.
Here, we explore the use of Remotely Piloted Aerial Systems (RPASs) as a complementary remote
sensing platform to map the spatial and temporal changes of PAGM across a mine waste rock pile on
an AML. We focus on testing the ability of established supervised and unsupervised classiﬁcation
algorithms to map PAGM on imagery with very high spatial resolution, but low spectral sampling.
At the Perry Canyon, NV, USA AML, we carried out six ﬂights over a 29-month period, using
a RPAS equipped with a 5-band multispectral sensor measuring in the visible to near infrared
(400–1000 nm). We built six different 3 cm resolution orthorectiﬁed reﬂectance maps, and our tests
using supervised and unsupervised classiﬁcations revealed beneﬁts to each approach. Supervised
classiﬁcation schemes allowed accurate mapping of classes that lacked published spectral libraries,
such as acid mine drainage (AMD) and efﬂorescent mineral salts (EMS). The unsupervised method
produced similar maps of PAGM, as compared to supervised schemes, but with little user input.
Our classiﬁed multi-temporal maps, validated with multiple ﬁeld and lab-based methods, revealed
persistent and slowly growing ‘hotspots’ of jarosite on the mine waste rock pile, whereas EMS
exhibit more rapid ﬂuctuations in extent. The mapping methods we detail for a RPAS carrying a
broadband multispectral sensor can be applied extensively to AMLs. Our methods show promise to
increase the spatial and temporal coverage of accurate maps critical for environmental monitoring
and reclamation efforts over AMLs.
DOI: 10.4211/hs.72c991df01dd4fe1b92c5a3d758e8ff6
title: WRSS

description: The data belong to a manuscript submitted manuscript of WRSS.
DOI: 10.5281/zenodo.17916215
title: Emergent Time in a TAGC‑LQG‑RG Toy Model: Numerical Ensembles, Bifurcation Maps, and Sensitivity Analysis

description: We present a concise numerical study of emergent time in a TAGC‑LQG‑RG toy model, combining ensemble sampling, mesh convergence tests, bifurcation mapping and local sensitivity analysis. Using large ensembles and systematic mesh refinement, we obtain a robust adimensional estimate for the emergent time, t∗≈5.77×10−10t^* \approx 5.77\times10^{-10}, with a narrow ensemble spread and clear convergence as nstepsn_{\text{steps}} is increased. A coarse parameter sweep in (Γ0,ρ0)(\Gamma_0,\rho_0) reveals little variation of t∗t^* at the explored resolution, while targeted sensitivity experiments show a reproducible response of t∗t^* to multiplicative perturbations in ρ\rho. Independently, the data support a scaling relation for time dilation consistent with Δt/t∝ρ1/4\Delta t/t \propto \rho^{1/4}, which is used to produce order‑of‑magnitude physical estimates reported in the figures. All numerical procedures, diagnostics and provenance metadata are provided to ensure reproducibility; note that a subset of exploratory runs employed a documented fallback implementation of the time‑operator and are explicitly flagged in the archive. These results are intended as a transparent, reproducible numerical characterisation of the toy model and as a basis for further analytical and numerical refinement.
DOI: 10.4211/hs.e14c468d23274019bc53061c0a42e4aa
title: Bioretention Evapotranspiration

description: This dataset contains raw and processed data from a weighing lysimeter installed in a bioretention cell in Vaughan, Ontario. The lysimeter was a Smart Field Lysimeter (UMS), 30 cm height. The data collected was weight of the lysimeter tank and storage water tank every minute, and a variety of soil parameters (pressure, water content, conductivity and temperature) collected every 10 minutes. The dataset was collected August 21-November 4, 2018 and May 1-November 4, 2019. The data was processed using a filtering scheme (Hannes et al., 2015), and the code used for the processing is also included in this dataset.  
The files contained are:
Two folders – water balance input and output using filtering scheme from (Hannes et al., 2015)
Lysimeter_20180821-20181130.xlsx
Lysimeter_201905-201911.xlsx – raw and processed ET, seepage and sensor data
DOI: 10.4211/hs.adb4c98c8d2148f6905c773e9c0ba611
title: Iowa Flood Center Bridge Sensor - Rating Curves

description: This Hydroshare resource contains discharge - river stage relationship (rating curves)  at 294 locations in the state of Iowa where Bridge Mounted River Stage Sensors (BMRS) are installed by the Iowa Flood Center
DOI: 10.4211/hs.7cde55a84f164caca332c9671c884581
title: Comprehensive network hydraulic scaling dataset and associated resources (discharge, channel length surveys, watershed metadata, blueline network shapefiles, reference images)

description: Wetted channel networks expand and contract throughout the year. Direct observation of this process can be made by multiple intensive surveys of a catchment throughout the year. Godsey et al. (2014) suggest that the extent of the wetted channel network scales with discharge at the outlet by a power law (L = αQ^β). Using this relationship, we developed a framework to assess variability in the extent of wetted channels as a function of beta, β, and the variability in streamflow, Q (Lapides et al. 2021). This resource includes the empirical basis for the study and data compiled from the literature and maps. 

1 - Channel length survey data (csv files)
2 - Discharge time series data (csv files)
3 - Watershed metadata (csv file)
4 - Blueline network files (pdf, png, and shp files)

This collection includes all watersheds where at least three channel length surveys have been conducted and where a corresponding discharge time series dataset is available. The requirement of a minimum of three channel length surveys stems from the data requirements to find alpha, α, and β for the power law relationship between discharge and stream network length for headwater catchments (Godsey et al. 2014). Data for 14 watersheds worldwide are included, along with watershed metadata, reference maps, shapefiles and a composite of USGS blueline stream network imagery with terrain for watersheds of interest in the United States.  

Methods used to process the datasets or create other assets in this collection are included in the abstracts or additional metadata for each of the four resources listed above. Python code used to process data, compute variables, and create graphics is available at: https://zenodo.org/record/4057320