cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.4211/hs.e51d9821c8d84682b642eb0818ac3137
title: LAM Synthetic Forecast Generation Dataset

description: Pre-processed subset of raw HEFS hindcast data for Lake Mendocino (LAM) configured for compatibility with the repository structure of the versions 1 and 2 synthetic forecast model contained here: https://github.com/zpb4/Synthetic-Forecast-v1-FIRO-DISES  and here: https://github.com/zpb4/Synthetic-Forecast-v2-FIRO-DISES. The data are pre-structured for the repository setup and instructions are included in README files for both GitHub repos on how to setup the data contained in this resource.

Contains HEFS hindcast .csv files and observed full-natural-flow files for the following sites:
LAMC1 - main reservoir inflow to Lake Mendocino
UKAC1 - downstream flows at Ukiah junction
HOPC1L - downstream local flows at Hopland junction

Data also contains R scripts used to preprocess the raw HEFS data contained in the associated public Hydroshare resource here: https://www.hydroshare.org/resource/ccffddde118f4145854c960295f520cb/
DOI: 10.4211/hs.5a9069e82a9348aa82914b9a8ffc503a
title: Hydrologic and seasonal controls on organic matter pools and transformation in a forested headwater stream network_data

description: Streams are dynamic reactors, where flow often controls carbon (C) dynamics. Riverine C exists largely as dissolved and fine particulate organic matter (DOM<0.7 µm and 0.7 µm<FPOM<1 mm, respectively). Although FPOM contributes significantly to C stocks and stream metabolism, FPOM processing is often unaccounted for in stream C cycling measurements and budgets. To address this knowledge gap, we investigated OM fate across flow conditions at two sites in a forested stream network in Alabama, USA: the upstream headwaters and the downstream outlet of Pendergrass Creek. At each site, we quantified DOM and FPOM in surface water and the streambed as benthic organic matter (BOM) for one year. We found that FPOM and BOM diluted with flow and increased during leaf on, while DOM (as dissolved organic C) did not change with flow and increased during leaf off. To assess the microbial metabolic activity (MMA) of different OM pools, we conducted resazurin-resorufin incubation assays as a proxy for respiration. Rates of MMA across all three OM pools decreased while FPOM C:[N]itrogen ratios increased at higher flows, indicating more reactive OM is likely stored and respired at low flows. We also observed that FPOM often accounted for the majority of water column respiration potential. Our findings, corroborated by a hydrologic model of flowing network length, suggest that as stream flows decrease with climate change, the quantity of OM stored and respired in headwater streams may increase, influencing C emissions and downstream resources.
DOI: 10.4211/hs.11599c9474744b9299bc37754c12f117
title: Statewide cumulative human health risk assessment of inorganics contaminated groundwater wells, Montana, USA - Data and Code

description: Human health risk from consumption of groundwater is widely documented and particularly challenging to address in private wells, where testing is not required and is infrequent. Furthermore, the common approach of assessing health risk based on whether individual contaminants exceed a health threshold does not account for how close a concentration is to the threshold nor for cumulative effects across contaminants. Assessing cumulative human health risk from drinking water is relatively new and has primarily been conducted on datasets collected from discrete sampling campaigns where all data produced has a common set of analytes and similar detection limits. These sample campaigns are cost prohibitive for many communities and more efficient approaches for conducting tier 1 (screening) level human health risks are needed.  

In this work, we leveraged a publicly available database for Montana groundwater and adapted methods developed by USGS to conduct a statewide cumulative human health risk assessment across 19 inorganic contaminants. This type of analysis requires decisions about which thresholds to apply, which data is most relevant to include, and what minimum data availability is considered sufficient. Sensitivity of results to each of these decisions was assessed and results for many alternative analysis scenarios are provided so users can assess what scenarios might be best suited to their assessment needs. Also included is code/output for histograms of contaminant concentrations and detection limit for non-detect concentrations. These histograms were important for identifying outliers from errant data and for informing what detection limits were considered adequately low for non-detect data to be included in the analysis. Histograms revealed that concentration data for some analytes are normally distributed, which could allow for exploration of alternative methods for handling non-detect data, such as the NADA Package in R Statistical Software. The NADA package was not feasible in our analysis due to non-detect concentrations outnumbering detection data for 7 out of 19 analytes. For datasets with a lower frequency of non-detect data, users could re-examine potential for use of NADA to numerically represent non-detect concentrations for this kind of analysis. 

For users specifically working with the Montana Bureau of Mines and Geology, Groundwater Information Center database, the code provided here can be used to compile data and create metadata fields (detection limit, qualifiers, non-detect, etc.) from the somewhat cumbersome single field the database uses to store numeric results and metadata.  

This data resource includes all data, code, and analysis products for the accompanying manuscript so that users can easily assess, apply, or adapt these methods for other datasets and applications.
DOI: 10.4211/hs.65d48f68c991466b9a9d9d6d9534b61a
title: Laramie WY- I-80 Project Fluid Temp_Fluid Conductivity borehole logging data

description: This resource contains Fluid Temperature and Fluid Conductivity data for the Government Gulch (GG), Red Buttes (RB) and Jacoby (JRA1) boreholes used in the I-80 AEM geophysical study around Laramie, WY.
DOI: 10.4211/hs.d147fcf554a54b2aaa4f146f85da0e03
title: Machine Learning-Derived Channel Width and Depth for the National Hydrologic Geospatial Fabric in CONUS

description: This dataset focuses on reach-averaged estimation of river channel geometry, including top-width and depth, crucial for water flow prediction and flood mapping. Leveraging HYDRoacoustic data from the Surface Water Oceanographic Topography (HYDRoSWOT) program, we develop a machine learning model to predict channel geometry using data from the National Water Model, National Hydrologic Geospatial Fabric network, and other geospatial datasets. Our model demonstrates good fit within the Continental United States, with better performance observed in flatter regions. Covering nearly 2.7 million reaches in the US, this dataset is indexed to the National Hydrologic Geospatial Fabric network. However, in estuaries, particularly near river mouths where it widens into the coastal zone, there are no recorded Acoustic Doppler Current Profiler (ADCP) measurements in HYDRoSWOT, leading to unreliable model accuracy. Additionally, limitations in the training dataset, particularly the primary significant feature of ML models—100% annual exceedance probability discharge derived from the NWM—diminish skill in this exceedance probability, impacting the overall model goodness-of-fit. We provide estimates of channel geometry for two conditions: 100% and 50% annual exceedance probability, based on NWM historical retrospective data..
DOI: 10.4211/hs.acee8bfc6c6145b2931a2fee684aad55
title: Prediction of anthropogenic debris and its association with geomorphology in US urban streams

description: To examine relationships between in-stream debris concentrations and different geomorphologic characteristics, catchment characteristics, and catchment and riparian land cover in US urban streams, we collected data on debris (>5 cm), large wood, cross-section and longitudinal profiles, and sediment sizes in 24 stream reaches in two metropolitan areas (Cleveland, Ohio; Charlotte, North Carolina). This dataset supports analyses published in: Farooq, N., Jefferson, A.J., Greising, C., Kearns, K., Muratori, S., Snyder, K. 2025. Prediction of anthropogenic debris and its association with geomorphology in US urban streams. Science of the Total Environment. 975: 179317. doi: 10.1016/j.scitotenv.2025.179317 (open access) https://www.sciencedirect.com/science/article/pii/S0048969725009532
DOI: 10.4211/hs.41b217c4f9c44710ad82ce73a4b2d7ca
title: Analytical Expressions for Spatial Attenuation of Time-Periodic Heat Sources in an Aquifer

description: Periodic thermal loads in aquifers (e.g., injection wells for shallow open loop geothermal energy systems or thermal periodic loads at the land surface) produce periodic fluctuations of temperature fluctuations that propagate downstream from the source. The magnitude of the fluctuation attenuates with distance from the source, such that beyond a certain distance, the effect of the periodic component of the thermal load is negligible.  This repository contains jupyter notebooks that can be used to evaluate analytical expressions of magnitude of temperature fluctuation as a function of distance from the source in one-dimensional and two-dimensional domains.  The analytical solutions are derived in 

Neupauer, R.M. and J. Okkonen, Analytical expressions for spatial attenuation of time-periodic heat sources in an aquifer, Journal of Hydrologic Engineering, DOI: 10.1061/JHYEFF.HEENG-6336.2024.

The notebooks correspond to the following sections of the article:

Thermal_1D_infinite.ipynb - Attenuation of a Periodic Load in an Infinite One-Dimensional Domain
Thermal_1D_semi-infinite.ipynb - Attenuation of a Periodic Load in a Semi-Infinite One-Dimensional Domain
Thermal_2D - Attenuation of a Periodic Load in a Two-Dimensional Domain
DOI: 10.15468/dl.u88jew
title: Occurrence Download

description: A dataset containing 753 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (Japan, Russian Federation, China)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Salix sachalinensis"
 ]
}

 The dataset includes 753 records from 27 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0049995-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.4211/hs.bd79026637f14f328685f9e5c8db7c23
title: Yellowstone National Park June 2022 grain size and flood hydrograph dataset

description: This dataset includes field measurements of grain size at sites on the Gardner River, Soda Butte Creek, Pebble Creek, Slough Creek, and Lamar River in Yellowstone National Park. This dataset also includes estimations of the June 2022 flood hydrographs at specific study sites within Yellowstone National Park. See future publications (DeLuca 2024, University of Montana Master's Thesis) for further description of the collection and estimation methodologies, and site descriptions.
DOI: 10.4211/hs.ef8e024d6c6f43609b2d9ef96678fbd5
title: AIMS Great Plains approach3 Ash-free Dry Mass (AFDM)

description: This study was conducted in the South Fork of King’s Creek at Konza Prairie Biological Station, one of the most well-studied prairie streams in the world. At the USGS gage located on the mainstem (06879560; est. 1979), Kings Creek is a 5th order intermittent stream draining 1059-ha of tallgrass prairie in the Kansas Flint Hills.
This synoptic survey was designed in support of the sampling goals of the Aquatic Intermittency effects on Microbiomes in Streams (AIMS) Project. During June, July, and August 2021, a field team co-collected datasets characterizing the hydrology and biogeochemistry across 50 locations within a sub-drainage of the South Fork of Kings’ Creek. The 50 sites were selected to balance multiple competing priorities: (i) strategically targeting existing monitoring infrastructure with long-term data (n=14); (ii) including sites near several known springs and tributary junctions (n=9); and (iii) including a range of drainage area and topographic wetness index (TWI) values (n=27), both of which have been correlated with flow permanence elsewhere. Briefly, the sites selected based on drainage area and TWI were chosen by binning drainage area into 10 bins and then binning TWI into quintiles within each drainage area bin (Supplemental Info 1). We then randomly selected a point in each bin after accounting for points selected based on existing infrastructure, springs, and tributaries;, and enforcing a minimum spacing of 100 m between locations. We then made minor adjustments to points to account for field conditions, for instance adjusting locations with respect to a road crossing. For a detailed description of the site selection process, please see (Swenson et al., 2023)
This data comprises the ash free dry mass (AFDM) of four sample type namely water, biofilm, leaf litter and sediment. AFDM of water and biofilm was measured by filtering (42.5 mm Whatman GF/F filter) a known volume of each sample, then the dry mass of the samples was determined by weighing the filters before (wet mass), and after drying at 70ºC for 48 hours. The dried filters were then combusted at 500ºC for 2 hours in a muffle furnace and AFDM was calculated as the ratio of the organic matter combusted to the dry mass of each sample. As for the other sample types, the wet mass of subsamples of leaf litter or sediment were recorded, and the subsamples dried at 70 °C for 48 h and re-weighed. Dry subsamples were combusted at 500 °C for 2 h and re-weighed. AFDM was determined in the same manner as for water and biofilm.
DOI: 10.15468/dl.zrg4jj
title: Occurrence Download

description: A dataset containing 121013 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON ((-4.741798 40.825487, -4.743506 40.863595, -4.793829 40.863595, -4.792104 40.825487, -4.741798 40.825487))",
 "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 121013 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0049961-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.4211/hs.2c2694fd153f4cd69e057c9c9e50c96e
title: Bisected Bog Paper Data, Glace Bay, Nova Scotia

description: This data is associated with a manuscript in the Canadian Journal or Water Resource. The abstract for the manuscript is provided below.

In flat terrain and humid climates, raised bogs can form the topographic watershed boundary of protected source watersheds. In these cases, only half of the “bisected bog” is protected. We consider if these bisected bogs should be included in source water protection areas by exploring how drainage in the unprotected side of the bog may impact the protected watershed. Groundwater monitoring and slug tests were performed in a transect of piezometers in a large, bisected bog in Cape Breton, Nova Scotia, Canada to constrain a groundwater flow model. Under varying drainage scenarios (1 m, 3 m and complete harvest), simulations showed that the groundwater divide shifts 41 to 398 m inwards, 219,000 m3 to 1,570,000 m3 of water storage are lost and up to 23,600 to 156,100 tonnes of soil carbon become unstable. These findings suggest that it is illogical to protect only part of a bisected bog and that the entire bog should be protected to preserve hydrologic functionality. A GIS analysis revealed that bisected bogs are common in source water protection areas in the province. We provide recommendations for water managers to identify and address bisected wetlands to improve source water protection and maintain wetland ecosystem services.
DOI: 10.4211/hs.48e779d1aeac49609e3077625092e31b
title: Mass fluxes of dissolved arsenic discharging to the Meghna River are sufficient to account for the mass of arsenic in riverbank sediments - Data

description: This is the data used to create the published study of the same name published in the Journal of Hydrology in 2022 (10.1016/j.jconhyd.2022.104068).

Shallow (<30 m) reducing groundwater commonly contains abundant dissolved arsenic (As) in Bangladesh. We hypothesize that dissolved As in iron (Fe)-rich groundwater discharging to rivers is trapped onto Fe(III)-oxyhydroxides which precipitate in shallow riverbank sediments under the influence of tidal fluctuations. Therefore, the goal of this study is to compare the calculated mass of sediment-bound As that would be sequestered from dissolved groundwater As that discharges through riverbanks of the Meghna River to the observed mass of As trapped within riverbank sediments. To calculate groundwater discharge, a Boussinesq aquifer analytical groundwater flow model was developed and constrained by cyclical seasonal fluctuations in hydraulic heads and river stages observed at three sites along a 13 km reach in central Bangladesh. At all sites, groundwater discharges to the river year-round but most of it passes through an intertidal zone created by ocean
tides propagating upstream from the Bay of Bengal in the dry season. The annualized groundwater discharge per unit width at the three sites ranges from 173 to 891 m2/yr (average 540 m2/yr). Assuming that riverbanks have been stable since the Brahmaputra River avulsed far away from this area 200 years ago and dissolved As is completely trapped within riverbank sediments, the mass of accumulated sediment As can be calculated by multiplying groundwater discharge by ambient aquifer As concentrations measured in 1969 wells. Across all sites, the range of calculated sediment As concentrations in the riverbank is 78–849 mg/kg, which is higher than the observed concentrations (17–599 mg/kg). This discovery supports the hypothesis that the dissolved As in groundwater discharge to the river is sufficient to account for the observed buried deposits of As along riverbanks.
DOI: 10.4211/hs.1752781278c74d4ba52d986a73070c04
title: Carbon fluxes, meteorological, soil variables from GC Flux Tower, IMLCZO/CINet

description: 15-minute time-series data from flux tower at Goose Creek site, originally part of the NSF-IMLCZO project, currently NSF-CINet.  Variables include: wind speed, carbon flux (NEE), pressure, precipitation, air temperature, relative humidity, 5cm depth soil moisture, 5cm depth soil temperature, solar radiation, ground heat flux.  These are raw data, date range of 2016-2020, used in Farahani and Goodwell, 2024 (JGR Biogeosciences, DOI: 10.1029/2023JG007815): Causal Drivers of Land-atmosphere fluxes from machine learning models and data.  The associated Github repository (https://github.com/allisongoodwell/Farahani_CarbonML2023) contains code for the outlier removal and pre-processing applied to this data, which were used for machine learning models for carbon flux prediction.
DOI: 10.4211/hs.4b8df2d03b99463590ac1f75f190ba87
title: Serial Leaf Litter Incubations Data Analysis

description: The data and data analysis steps used in the analysis and figures presented in Cummins et al. under review. All files and readme files required to execute the workflow are contained within the zipped folder.
DOI: 10.4211/hs.f21f30c214d847cd83c1cf5720573303
title: Serial Leaf Litter Incubations Data

description: All raw data used within Cummins et al. under review in Ecology as of May 2024. 
Also included is the single processed data frame for all the Coweeta leaf litter serial incubations data - temperature, discharge, nutrients, and litter breakdown. Steps for post-processing are included within the following HydroShare Resource: Cummins, C. (2024), and can be found at https://github.com/cscummins/Serial-leaf-litter-incubations. Serial Litter Incubations Data Analysis, HydroShare, http://www.hydroshare.org/resource/2a30cfe2a9d742948b742008a9abede2
DOI: 10.4211/hs.a796954e87f04e7faff7b250660c6966
title: Supplementary Data for "Hotspots of Dissolved Arsenic Generated from Buried Silt Layers along Fluctuating Rivers"

description: This is the data used to create the study that is currently under review in a peer-reviewed journal. This dataset contains groundwater chemistry data and groundwater level data across the Meghna riverbank field site near town called Nayapara in Bangladesh. Across the 131 m-wide transect oriented orthogonally to the river shoreline, three types of wells were installed: i) Drive-point piezometers (DP) (“DPa” wells (~0.5 m), “DPb” wells (~1.5 m), “DPc” wells (3 to 4.5 m)); ii) Fully screened shallow piezometers (PZ); iii) Monitoring wells (MW) wAll wells were numbered in descending order away from the river. For example, the DP well that is furthest from the river and has the shallowest depth is referred to as “DP1a”.
DOI: 10.4211/hs.29343dc60d4a4488bcf23de623e18e39
title: Jornada Long Term Experimental Range Geophysical Data (Red Lake Playa & Piedmont Bajada)

description: This submission to the Hydroshare data repository encompasses geophysical measurements conducted using various tools. EM31 and EM38 electromagnetic conductivity instruments were used to distinguish shallow clay, moisture saturation and caliche distribution. Gravity data was collected with a LaCoste-Romberg gravimeter and added to regional datasets and used with regional aeromagnetic measurements to identify depth to basement and fault locations, that control regional fluid flow. Surface total magnetic field measurements and magnetic susceptibility, contribute to basement geology mapping, fault mapping, and identification of coarse alluvial channel facies. Electrical conductivity, magnetic field, and magnetic susceptibility datasets were located with meter-accuracy approximate GPS. Gravity data were surveyed with cm-accuracy PPK GPS, and point to likely systematic errors in USGS DEM data to the east of the study area. The datasets includes data description pages which provide essential metadata. All additions to old regional datasets have added time registration suitable for monitoring temporal changes in the future repeat monitoring.
DOI: 10.4211/hs.9a203229e9f243c2a8542cfa6117c47b
title: Extended monthly unimpaired flow from water year 1872 for 10 watersheds in the Central Valley of California

description: These datasets belong to the compiled and estimated historical monthly temperature, precipitation, and unimpaired flow prepared for the 10 watersheds in the California Central Valley (extended to water year 1872) and used in (1) Reconstructing Seasonal Unimpaired Runoff Volumes to the San Francisco Estuary: Extending the Available Record Back to Water Year 1872 and (2) Inferring Trends and Change Attribution Using Regression-Based Unimpaired Runoff to San Francisco Estuary, 1872-2022. 

See README.txt file for additional descriptions of the data included in each file.
DOI: 10.4211/hs.fa5884a58b2e4d8b94db1b8cdca3fd36
title: Videos, Photographs, and Hydraulic Head Data from a series of Laboratory Experiments on Reactive Transport of Calcium Carbonate Precipitate in Quasi-2D Porous Media

description: This resource provides supporting information for a series of reactive transport laboratory experiments reported in Cook, T.J. (2024). Experimental Study of the Relationship between Porous Media Clogging and Dynamic Permeability: Assessment of Calcite Precipitation Reaction, Pore-Scale Clogging, and Flow Rate in a Quasi-2D Flow Cell. Master's Report, Department of Civil Engineering, University of Colorado Denver, Denver, Colorado, USA.