cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.4211/hs.421c0226bb38460c8393d67fe0c4f802
title: Hydrology, rather than wildfire burn extent, determines post-fire organic and black carbon export from mountain rivers in central coastal California [Dataset]

description: Coastal mountain rivers export disproportionately high quantities of terrestrial organic carbon directly to the ocean, feeding microbial communities and altering coastal ecology. To better predict and mitigate the effects of wildfires on aquatic ecosystems and resources, we must evaluate the relationships between fire, hydrology, and carbon export, particularly in the fire-prone western United States. This study examined the spatiotemporal export of particulate and dissolved organic carbon (POC and DOC, respectively) and particulate and dissolved black carbon (PBC and DBC, respectively) from five coastal mountain watersheds following the 2020 CZU Lightning Complex Fires (California, USA). Despite high variability in watershed burn extent (20-100%), annual POC, DOC, PBC, and DBC concentrations remained relatively stable among the different watersheds. Instead, they correlated significantly with watershed discharge. Our findings indicate that hydrology, rather than burn extent, is a primary driver of post-fire carbon export in coastal mountain watersheds.
DOI: 10.4211/hs.cc024a9854914983bd0e7a467cc9409a
title: Maturation of Silicate Weathering Pathways Revealed by Germanium-Silicon Ratios

description: This resource provides accompanying discharge and hydrologic data (silicon, sodium, calcium, magnesium, aluminum, germanium, discharge and irrigation fluxes) presented in 'Maturation of Silicate Weathering Pathways Revealed by Germanium-Silicon Ratios', Geophysical Research Letters, DOI: https://doi.org/10.1029/2025GL118410
This dataset combines measurements from two experiments conducted at the Landscape Evolution Observatory (LEO) in Tucson, Arizona from 2018-2019 and 2022-2023. Discharge chemistry and flux are reported for each of the three LEO hillslopes.

Files are provided in ".csv" format.
DOI: 10.4211/hs.41faf3d6c3f245259ea820740291789c
title: Dataset for "Water chemistry and greenhouse gas concentrations in waterbodies of a thawing permafrost peatland complex in northern Norway" Knutson et al.

description: This dataset includes water chemistry and greenhouse gas concentrations as well as CO2 diffusive emission fluxes from thermokarst ponds and wetland streams at the Iškoras peat plateau from 2020-2022. Laboratory methods are also included. Detailed information about the methodology can be found in Knutson et al. (in press). The content of this resource serves as the data for "Water chemistry and greenhouse gas concentrations in waterbodies of a thawing permafrost peatland complex in northern Norway " by Knutson et al. 2025, EGUsphere-Biogeosciences
DOI: 10.4211/hs.97445b353e0c4ba5ba29a245bc1162b7
title: Sandvatn Aqueous Geochemical Data 2021 - 2022

description: This resource contains aqueous geochemical data from Sandvatn, from the years 2021 - 2022. Data includes river water, lake water, groundwater, and spring water in-situ physiochemical parameters, water stable isotopes, cations, trace elements, anions, major nutrients, dissolved organic and inorganic carbon, radon-222, and silicon-30.
DOI: 10.17632/3h6hxgrg2f.1
title: Microscopy raw data for SF4 and SF9

description: This dataset contains the original raw microscopy files used for Supplementary Figures 4 and 9. Zeiss LSM 980 .czi files are provided for Jarid2 and Pali1 imaging (SF4), and STED .obf files are provided for Suz12–H3K27me3 and Ring1B–H3K27me3 imaging (SF9). All channels and metadata are included exactly as acquired.
DOI: 10.4211/hs.f06cc2e465434767839d507872a7c62f
title: Demonstration Project: Leveraging Output from a High-Resolution 3D Hydrodynamic-Sediment Transport Model to Run Landlab's Simple Submarine Diffuser

description: The purpose of this demonstration project is to show how to (a) use the ROMS (Regional Ocean Modeling System) data component to estimate hydrodynamic and sedimentary information for a marine environment based on output from a high-resolution 3D hydrodynamic-sediment transport model, and (b) use this information to run the Simple Submarine Diffuser from Landlab to disperse sediment on continental shelves. This use case is for the Beaufort Sea shelf, Alaska, USA. This notebook focuses on providing an example of how to use the data component and other tools; future work will include considering best practices for linking short-term dynamics with long-term shelf evolution.
DOI: 10.4211/hs.0ef3eda3534f44a6bbd65786d57222ea
title: CINet Goose Creek Tower: raw and corrected eddy covariance, met, soil data

description: This data contains eddy covariance, soil, and meteorological data collected from the Goose Creek Tower site in central IL from 2016-2024.  A 25m tower was installed April 2016 with 15 min measurements, and it was supplemented by a 10m height eddy covariance instrument in August 2021.  The "25m" files contain the main tower data (eddy covariance at 25m, soil moisture and temperature, solar radiation and other meteorological variables), and the "10m" is the newer instrument at 30 min resolution.  The "raw" files obtained directly from the sensors are provided, with a nomenclature document describing several hundred variable names.  We also processed this data using ReddyProc R package (https://cran.r-project.org/web/packages/REddyProc/index.html) for carbon flux partitioning estimates at 30 min resolution, and applied the flux-data-qaqc python package (https://flux-data-qaqc.readthedocs.io/en/latest/) for daily energy balance corrections. We also provide a solar radiation corrected file, due to some sensor errors in incoming and outgoing radiation, and note that some NDVI and PRI (vegetation indices) values contain errors that are not corrected from the raw data.  Please see the Readme file for short descriptions of each file type.
DOI: 10.4211/hs.874abcafd40f4f14a90f974c745af407
title: Dataset Associated with "Floodplain vegetation density effects on meandering channel flow patterns and channel-floodplain hydraulic exchange"

description: The data in this Hydroshare resource are associated with the manuscript "Floodplain vegetation density effects on meandering channel flow patterns and channel-floodplain hydraulic exchange".

Three folders contain data associated with this manuscript. Geometry contains the coordinates of each of the ten cross sections where in-channel velocity measurements were made. XS Velocity contains time-averaged velocity data at each of 10 cross sections for 7 flume runs. Surface contains time-averaged surface velocity obtained using LSPIV. There are readme.txt files in both XS velocity and Surface folders describing the contents in additional detail.

Please contact danny.white@colostate.edu with any questions about this dataset or the manuscript.
DOI: 10.4211/hs.595e2ba483524feba22273e4dfbed190
title: ChemLotUS: A Benchmark Dataset of Lotic Chemistry across US River Networks

description: ChemLotUS contains water quality information in rivers and streams carefully curated and linked to a high resolution stream network. The dataset covers the contiguous United States (CONUS) with nearly 35 million records in about 290,000 sites. 11 water constituents are included so far: Calcium (Ca), Electrical Conductivity (EC), pH, Total Suspended Solids (TSS), Turbidity (Tu), Total Organic Carbon (TOC), Dissolved Oxygen (DO), Chlorophyll a (Chl-a), Nitrate (NO3), Soluble Reactive P (SRP), and Total P (TP). Raw water quality data comes from the Water Quality Portal (WQP - https://www.waterqualitydata.us/), and network information comes from the National Hydrography Dataset High Resolution (NHD-HR - https://www.usgs.gov/national-hydrography/nhdplus-high-resolution).

This repository contains the data, as well as the code developed to obtain it, according to the Readme1 file.
The Readme2 file contains the definitions of the columns contained in each csv.

The difference with the previous version of this repository is that we followed recommendations by the reviewers of the associated paper. Therefore, this version is recommended over the previous one.

More details about the dataset are explained in the research paper with the same name "ChemLotUS: A Benchmark Dataset of Lotic Chemistry across US River Networks", of which the first revision was reurned to peer review after following reviewer's recommendations.
DOI: 10.4211/hs.88e0ebf2719c492381efcb27fba71032
title: Provo River near Woodland (gage-10154200) NGIAB Case Study (calibrated)

description: The U.S. National Water Model (NWM) provides continental-scale hydrological forecasts, but its complexity makes deployment and customization on researchers' computing resources challenging for local and regional studies. The Next Generation Water Resources Modeling Framework (NextGen) enhances model flexibility and interoperability, yet deploying it independently remains demanding. To address this, we developed the NextGen In A Box (NGIAB) to provide a containerized solution for simplified NextGen deployment on local machines, high-performance computing (HPC) clusters, and cloud environments. NGIAB leverages Docker and Singularity containers, pre-configured with core components expected in forthcoming NWM version 4.0. This integrates input datasets, forcing engines, and necessary libraries, enabling seamless execution. Developed by CIROH and Lynker, NGIAB’s cyberinfrastructure features cloud-based data access, a robust CI/CD pipeline, and streamlined Basic Model Interface (BMI) coupling. By lowering technical barriers, NGIAB enables researchers to efficiently run localized models, promoting community engagement in hydrologic modeling and facilitating research-to-applications pathways.
DOI: 10.4211/hs.a1ff8913b18043f582b11381b0990c27
title: Image datasets for "Radial invasion patterns of shear-thinning fluids in a rough fracture"

description: This resource contains the image datasets for the manuscript "Radial invasion patterns of shear-thinning fluids in a rough fracture", including 718 invasion morphology images from 63 peer-reviewed publications investigating radial flow through porous media, Hele-Shaw cells, and rough fractures, and an Excel file that lists the information about these publications.
DOI: 10.17632/nwm3dyzcjz
title: The data of "Stepwise Variation of Ni Isotopes in MORBs from the East Pacific Rise: A Response to Magma Replenishment and Differentiation"

description: This dataset presents the supplementary data of "Stepwise Variation of Ni Isotopes in MORBs from the East Pacific Rise: A Response to Magma Replenishment and Differentiation", including the original Ni isotope data and literature data in the manuscript.
DOI: 10.4211/hs.30600d19187f4a0cb3489908e07e652d
title: Atlanta E. coli data, 2019-2023

description: Urban streams and rivers have chronic bacteria contamination in the United States, coming from multiple sources, following a variety of flowpaths to the waterway, and with differing downstream fates. Bacteria from human sewage, estimated through measures of Escherichia coli, pose the highest risk to human health. We analyzed four years of E. coli monitoring by community science groups to look for spatial and temporal drivers of E. coli densities in watersheds in the urban core of metro Atlanta, GA, with a wide range of racial and economic diversity as well as persistent patterns of segregation and racialized inequality. These watersheds are spaces of environmental injustice, with disproportionate impacts for lower-wealth and predominantly Black communities from flooding, soil contamination, and air pollution. While there were minimal differences in E. coli between watersheds with different Black and white populations, individual sites could be identified as hot and cold spots of contamination. Storm events increased E. coli at most sites, indicating a combination of runoff and sediment-sorbed E. coli explains about 50% of the temporal variability in E. coli densities. Long-term median E. coli levels were not strongly correlated to land cover or socio-demographic characteristics of the contributing watershed, but E. coli variability was lower in less densely urbanized areas. Temporal and spatial distributions of E. coli are controlled by complex interactions between sources and hydrologic transport that vary across watersheds. While direct correlations to racial demographics were not observed, the interactions between sewage as one environmental harm and the many others (air quality, soil quality, prison-industrial complex, etc.) present in minority and low-income urban communities emphasize the oversized burden environmental justice communities carry.
DOI: 10.17632/nwm3dyzcjz.3
title: The data of "Stepwise Variation of Ni Isotopes in MORBs from the East Pacific Rise: A Response to Magma Replenishment and Differentiation"

description: This dataset presents the supplementary data of "Stepwise Variation of Ni Isotopes in MORBs from the East Pacific Rise: A Response to Magma Replenishment and Differentiation", including the original Ni isotope data and literature data in the manuscript.
DOI: 10.4211/hs.884d8badf48f4bc1a8dffc5c775de145
title: Supporting datasets for article "Effects of climate change on stream temperature and salmonid habitats in a Cascades river basin"

description: Rising stream temperatures pose significant challenges to aquatic ecosystems, particularly for coldwater-adapted organisms like salmonids. This study examines the effects of climate change on stream temperatures and salmonid habitats in the Clackamas River Basin, Oregon, USA. Using spatial stream network models and CMIP6 climate projections under SSP2-4.5 and SSP5-8.5 scenarios, we project mid- (2045-2074) and late-century (2075-2100) stream temperature changes. These projections are then integrated with thermal tolerances and intrinsic habitat metrics to assess future habitat suitability for key species, including steelhead, coho, Chinook, and bull trout. Stream temperature trends from 1991–2023 reveal basin-wide warming, with high-elevation tributaries demonstrating more resilience to climate impacts while lower-elevation subwatersheds face greater vulnerability. Future projections indicate a basinwide maximum 7-day average of daily maximum stream temperature increases of 1.42°C to 2.04°C for the midcentury, and 1.84°C to 3.24°C by the end of the 21st century. These increases reduce the most thermally suitable habitats for steelhead, coho, Chinook, and bull trout by an average of 28% to 34% during the mid-century time period, and 32% to 49% by the end-of-century time period. By linking climate-driven temperature projections with habitat metrics, we identify priority subwatersheds based on projected thermal suitability where conservation efforts can maximize impact.
DOI: 10.17632/frjxbrfx38
title: Supplementary Data for "The Diversity of Emerging Tick-Borne Viruses Globally: From Discoveries to Zoonotic Risk Assessment"

description: This dataset contains supplementary materials supporting the research article "The Diversity of Emerging Tick-Borne Viruses Globally: From Discoveries to Zoonotic Risk Assessment", including 8 supplementary figures (Figs. S1–S8), 1 literature search results file, and 3 supplementary tables.

Among them, the supplementary figures (Figs. S1–S8) focus on the detailed phylogenetic analysis of emerging tick-borne viruses (TBVs): Figs. S1–S6 and S8 construct phylogenetic trees of 19 viral families (including RNA and DNA viruses) based on conserved genes (e.g., RdRp, ORF1, Capsid protein), while Fig. S7 conducts dual-gene phylogenetic analysis of the Nodaviridae family. These analyses not only supplement the content of Figure 1 in the main text but also validate the taxonomic classification and evolutionary relationships of TBVs described in the STAR Methods section.

The three supplementary tables are all related to Figure 1 in the main text, with specific functions as follows: Table S1 lists the laboratory tests used to detect emerging TBV infections in the current study, supporting the reliability of virus detection; Table S2 summarizes all variables extracted from the included studies, ensuring the data basis for relevant analyses; Table S3 clarifies the inclusion and exclusion criteria for screening publications, guaranteeing the rigor and pertinence of the research literature.

The literature search results file includes all references contained in the dataset of this study, providing support for the data collection and analysis of Figures 1–4 and Table S2–S7 in the main manuscript. Overall, this dataset facilitates the reproduction of phylogenetic analysis processes of TBVs, ensures the transparency of literature sources, and aids further research on TBV diversity and zoonotic risk.
DOI: 10.4211/hs.ef0450cbcc394ff598da908b739ed461
title: Summit Greenland Ice Diver Temperature logs

description: This dataset presents physical parameters (temperature, Stokes and anti-Stokes Raman scattering signals) measured during the emplacement of bare single-mode optical fiber within the Greenland Ice Sheet using the Ice Diver melt probe at Summit Station, Greenland (specifically, at 72.5817 N, 38.4578 W). In addition to Stokes and Anti-Stokes signals, the dataset includes englacial temperature profiles derived via Raman distributed temperature sensing (DTS) at 1 m resolution, from ice depths -50 – 355 m (with 0 m representing the top of the borehole). The Raman backscatter signals (Stokes and Anti-Stokes) were captured by the ULTIMA Single Mode Distributed Temperature System (Silixa Ultima Single Mode interrogator) operating at a source wavelength of 1550 nm. Temperature data represent the first 108 hours of cooling (from June 7 – June 12, 2024) following melt probe entrapment in the ice at a depth of ~350 m. Temperature data were calibrated using a section of 25 m of the unreinforced fiber placed in an insulated controlled temperature bath during deployment. Two external PT-100 temperature probes were placed within the bath above and below the spool of fiber optic cable to monitor calibration bath temperatures. External temperature probes were an average of 1.5±0.2 °C warmer than the fiber optic cable. Data records are contained in three Excel spreadsheets (ice_diver_temperatures, Stokes_ice_diver and Anti_Stokes_ice_diver).  The first column represents depth below the ice surface, with time in both standard and Matlab datenum format across the top of the spreadsheet.

For additional information contact: Scott Tyler styler@unr.edu; Dale Weinbrenner dpw@apl.washington.edu; Sophie Wensman Sophia.Wensman@dri.edu
DOI: 10.17632/frjxbrfx38.2
title: Supplementary Data for "The Diversity of Emerging Tick-Borne Viruses Globally: From Discoveries to Zoonotic Risk Assessment"

description: This dataset contains supplementary materials supporting the research article "The Diversity of Emerging Tick-Borne Viruses Globally: From Discoveries to Zoonotic Risk Assessment", including 8 supplementary figures (Figs. S1–S8), 1 literature search results file, and 3 supplementary tables.

Among them, the supplementary figures (Figs. S1–S8) focus on the detailed phylogenetic analysis of emerging tick-borne viruses (TBVs): Figs. S1–S6 and S8 construct phylogenetic trees of 19 viral families (including RNA and DNA viruses) based on conserved genes (e.g., RdRp, ORF1, Capsid protein), while Fig. S7 conducts dual-gene phylogenetic analysis of the Nodaviridae family. These analyses not only supplement the content of Figure 1 in the main text but also validate the taxonomic classification and evolutionary relationships of TBVs described in the STAR Methods section.

The three supplementary tables are all related to Figure 1 in the main text, with specific functions as follows: Table S1 lists the laboratory tests used to detect emerging TBV infections in the current study, supporting the reliability of virus detection; Table S2 summarizes all variables extracted from the included studies, ensuring the data basis for relevant analyses; Table S3 clarifies the inclusion and exclusion criteria for screening publications, guaranteeing the rigor and pertinence of the research literature.

The literature search results file includes all references contained in the dataset of this study, providing support for the data collection and analysis of Figures 1–4 and Table S2–S7 in the main manuscript. Overall, this dataset facilitates the reproduction of phylogenetic analysis processes of TBVs, ensures the transparency of literature sources, and aids further research on TBV diversity and zoonotic risk.
DOI: 10.4211/hs.f419dcd3ccb14cc5b4831ee0370e5a8c
title: Field measurements dataset for identifying DOC dynamics with coupling EMMA and DOC-Q at HGC, China

description: This study investigates rainfall(1-h), streamflow(1-min), streamflow dissolved organic carbon (DOC) (grab samples), streamflow specific conductivity (SC) (grab samples) and riparian soil water SC(1-min)  across five storms in summer 2021 at Huanggou catchment, a small mountainous headwater catchment of the Danjiangkou Reservoir in Hanjiang River basin, central China.  Streamflow was  sourced from overland flow, subsurface flow and groundwater.  Full-time DOC dynamics on fluxes and yields across five events were evaluated with coupling of SC-traced EMMA and DOC-Q relations of end-members. The study aims to provide insights into the event-scale DOC-Q of streamflow and two end-members, three end-member fluxes and yields of water/DOC during and between events, and shifts on DOC sources with antecedent condition and rainfall-runoff response.
DOI: 10.17632/pjm6j8t5z6
title: Dataset for the Network Meta-Analysis on the Effect of Probiotic Supplementation on Streptococcus mutans Counts

description: This dataset supports the systematic review and network meta-analysis entitled “Effect of Probiotic Supplementation on Cariogenic Streptococcus mutans Levels: A Systematic Review and Network Meta-Analysis.”
It contains all extracted quantitative data used for pairwise and network comparisons assessing the impact of probiotic supplementation on S. mutans counts in saliva and dental biofilm.

Data were obtained from randomized controlled clinical trials conducted in humans, excluding in vitro studies, following PRISMA 2020 and CINeMA methodological standards.
Variables include study identifiers, probiotic strains, comparator types, follow-up periods (in days), sample sizes, means, standard deviations, and calculated mean differences for bacterial counts.

The dataset was cleaned and harmonized in Microsoft Excel and analyzed using R (packages meta and netmeta). It is structured to allow reproducibility of network meta-analyses and triangulation of findings with MetaInsight outputs.
DOI: 10.4211/hs.a7d617d594df4f1bba6c97b70f4c6d05
title: Effect of traditional road salts and beet-based alternatives on leaf litter decomposition

description: This dataset originates from an experiment conducted at the Notre Dame experimental Mesocosm facility to investigate the effects of traditional and alternative deicing treatments on leaf litter decomposition dynamics in freshwater ecosystems. We had 5 treatments: control, high beet-brine (+1.47 g beet brine/L), low beet-brine (+.147 g beet brine/L), high salt (+2.1 g Cl-/L), and low salt (=.21 g Cl-/L). For each treatment we had 4 replicates, totalling 20 mesocosms. We monitored dissolved inorganic nitrogen and carbon concentrations. We also monitored leaf litter respiration, toughness, and mass loss as indicators of decomposition. This dataset provides insight into how both chloride-based and organic deicing agents influence aquatic ecosystem processes, particularly the breakdown of organic matter, with implications for understanding the ecological trade-offs of emerging road salt alternatives.