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151 results for “streams and rivers”
Water stable isotopes for streams samples in Mary's River Watershed, 2014-2015
Water samples were collected for analysis of water stable isotopes (O18/16 and H2/H1) in the Marys River basin of Benton County, Oregon. Water samples collected approximately monthly between 2014 and 2015 at 24 streams.
Stream Restoration and Flood Impacts in the Kickapoo River Watershed, Wisconsin, 2019
Data were collected from May to November 2019 at five sites on two stream reaches in the Kickapoo River Watershed. Sites include Billings Creek restoration site (BRES), Billings Creek reference site (BREF), Warner Creek upstream site (WUP), Warner Creek middle site (WMD), and Warner Creek downstream (WDN) site. Data were collected by Dr. Caroline Gottschalk Druschke as part of research into the impacts of stream restoration and flooding on Kickapoo River Watershed (WI, USA) streams. Data were collected on methane and carbon dioxide fluxes on all reaches, as well as cross sectional area and soft sediment depth on the restored reach on Billings Creek before and after restoration in July 2019.
Gas exchange velocities (k600), gas exchange rates (K600), and hydraulic geometries for streams and rivers derived from the NEON Reaeration field and lab collection data product (DP1.20190.001)
This dataset contains estimates of gas exchange velocity, gas exchange rate, and hydraulic parameters for streams calculated from tracer-gas experiments and conservative tracer injections collected by the National Ecological Observatory Network (NEON). All input data were collected by NEON and is available on the NEON data portal at https://data.neonscience.org. Specifically, the NEON Reaeration field and lab collection data product (DP1.20190.001) was used to calculate these estimates. Gas exchange was estimated in two ways: first, following an unpooled frequentist approach and second, following a partially pooled Bayesian approach. In addition, a salt-correction was applied to gas exchange estimates for sites where it was possible and necessary. All estimates of gas exchange are included in the file gasExchange_ds.csv. A recommended selection of these estimates is included in the dataset (best_k600_mPerDay and best_K600_mPerDay). The stanfit objects used for the partially pooled Bayesian approach are also included as site-specific model objects for gas exchange velocities and rates. In addition, water velocity was calculated from conservative tracer injections, and mean water depth was calculated from these water velocity estimates and measurements of wetted width and water discharge. All hydraulic parameters are included in the file hydraulics_ds.csv. All processing code is available in the reaRates R package. NEON is sponsored by the National Science Foundation (NSF) and operated under cooperative agreement by Battelle. This material is based in part upon work supported by NSF through the NEON Program.
DRIFteRS: A dataset of drift invertebrate densities in streams and rivers across western North America, 1997–2024
Prey availability is among the most influential and highly variable determinants of fish growth and freshwater habitat carrying capacity, yet it remains understudied compared to physical habitat variables (Rosenfeld et al. 2014; Weber et al. 2017; Ouellet et al. 2025). We often lack a clear understanding of how much food is available to fishes, how it varies spatially and temporally, and how it influences responses to restoration (Wipfli et al. 2010; Ouellet et al. 2025; Rossi et al. 2024). Drift invertebrates—the primary food source for juvenile salmonids and other drift-foraging fishes—play a pivotal role in these dynamics. To better understand the spatial and temporal variability of drift invertebrate abundance and biomass across the freshwater range of drift-feeding salmonids in western North America, we compiled the DRIFteRS dataset (DRift Invertebrates For salmonids in River Systems). The dataset encompasses 6,159 samples of drift invertebrates, and, for a subset of drift samples, associated benthic invertebrate density data, collected from 1,360 reaches on 459 unique rivers and streams spanning 55 river basins considered hydrologically independent (i.e., not nested within the same larger watershed) across British Columbia, Canada, and the U.S. states of Alaska, Arizona, California, Colorado, Idaho, Nevada, New Mexico, Oregon, Utah, Washington, and Wyoming. Sample sites represent a diverse array of river and stream habitats (e.g., headwater, mainstem, side channel), in watersheds with diverse land uses (e.g., urban, wilderness, agricultural), and disturbance histories (e.g., fire, restoration). Collected between 1997 and 2024, the data span the full calendar year and capture daily and seasonal patterns in drift abundance and biomass densities. When paired with water quality and quantity data as well as remotely sensed environmental landscape data, such as land use / land cover, climate, and disturbance history, channel morphology, and riparian vegetation compo
A Global database of methane concentrations and atmospheric fluxes for streams and rivers
This dataset, referred to as MethDB, is a collation of publicly available values of methane (CH4) concentrations and atmospheric fluxes for world streams and rivers, along with supporting information on location, geographic, physical, and chemical conditions of the study sites. The data set is composed of four linked tables, corresponding to the data sources (Papers_MethDB), the study sites (Sites_MethDB), concentrations (Concentrations_MethDB), and influx/efflux rates (Fluxes_MethDB). Information was extracted from journal articles, government reports, book chapters, and similar sources that were acquired before 15 September 2015. Concentrations and fluxes were converted to a standard unit (micromoles per liter for concentration and millimoles per square meter per day for flux) and both the author-reported and converted data are included in the database. MethDB was assembled as part of a larger synthesis effort on stream and river CH4 dynamics, and assembled data were used to identify large-scale patterns and potential drivers of fluvial CH4 and to generate an updated global-scale estimate of CH4 emissions from world rivers.
Dataset of nitrogen in rivers and streams in sub-Saharan Africa
<p>This is a dataset on concentrations and export of all nitrogen compounds in rivers and streams in sub-Saharan Africa reported in scientific literature (<em>n</em>=254) until July 2024. Data are aggregated by site and, where possible, data are reported for the dry and wet season separately. In addition to concentrations and export of nitrogen compounds, data on ancillary parameters, such as pH, electrical conductivity and dissolved oxygen area also included. Each site for which (approximate) coordinates could be extracted from the original study was assigned to a land cover class based on open source data on tree cover and the extent of cropland, settlement and wetlands across Africa (see second tab in the file 'Dataset.xlsx' for land cover classes and corresponding classification conditions as well as data sources). The third tab in the file 'Dataset.xlsx' contains links to the individual studies and full references are provided in the file 'Reference list.pdf'.</p>
LAGOS-US NETWORKS v1.0: Data module of surface water networks characterizing connections among lakes, streams, and rivers in the conterminous U.S
Knowing the degree of surface water connectivity among aquatic ecosystems can help scientists better understand and predict the movement of materials and biota across ecosystems. Methods to quantify surface water networks that include lake and stream connections at broad spatial scales are rare because it is difficult to balance accurate estimates of surface water connectivity and computational challenges. The LAGOS-US NETWORKS (NETS) module contains surface connectivity metrics for lake networks across the conterminous United States. We applied a graph theory approach to identify lake networks (i.e. a set of lakes connected by streams either upstream, downstream, or both) created from the medium resolution NHD lakes, streams, and rivers and subsequently derive surface water connectivity metrics for lakes and networks. Using this approach, we created a total of 898 networks that include 86,511 lakes. The NETS module includes a table with metrics for connections between lakes (both upstream and downstream), dams, network position, and whole networks. NETS also includes a flow table and bidirectional and unidirectional distance tables that provide the distances between every pair of connected lakes.
Kuparuk River Whole Stream Metabolism Arctic LTER, Toolik Field Station Alaska 2012-2017
The Kuparuk River has been the central research location on the impact of added phosphorus to arctic streams. Additions of phosphorus occred since 1983. Today, 4 specific reaches show certain characteristics based on the years that they recieved fertilization. Whole Stream Metabolism is a way to quantify primary production of this stream system. Calculations were done using dissolved oxygen, discharge, stage, light and temperature measured by sondes and other equipment strategically deployed in the field at locations to quantify each of the unique stream reaches.
Kuparuk River stream temperature and discharge measured each summer, Dalton Road crossing, Arctic LTER Toolik Field Staion, Alaska 1978-2019
Stream temperature and discharge measured each summer for several streams in the Toolik area. In many years, temperature and stream height were recorded manually each day. In recent years, dataloggers have measured stream temperature and stream height at regular intervals. The Kuparuk River data was maintained by Doug Kane and the Water and Environmental Research Center at UAF through 2017 (http://ine.uaf.edu/werc/projects/NorthSlope/upper_kuparuk/upper_kuparuk....). Stream height is converted into stream discharge based on a rating curve calculated from manual discharge measurements throughout the season. The principal investigator in charge of the temperature and discharge measurements is Dr. Breck Bowden. Note: This file replaces older yearly files of discharge and temperatures
Effects of experience and context on phototaxic behaviors of larval stream salamanders in the Upper Little Tennessee River basin
Desmognathus quadramaculatus larvae were captured from 2 locations in the Upper Little Tennessee River basin. Naïve individuals with respect to high-light environments were collected within the fully forested Ball Creek watershed at the Coweeta Hydrological Laboratory in Macon County, North Carolina. This watershed is a control basin that has been undisturbed since 1927. Individuals with experience in high-light environments, defined as habituated individuals, were collected from a first-order stream with less than 10% canopy cover located in Rabun County, Georgia. Salamanders were captured opportunistically using dipnets and cover object searches. Upon capture, salamanders were held individually in a cooler during transport where they were placed in containers with a paper towel cover object, native stream water, and kept in a temperature controlled room (15.5 C) with an indirect, natural photoperiod. Individual behaviors were tested within 48 hours of capture, and individuals were released at their capture location within one week.
Does the River Continuum Concept apply on a tropical island? Longitudinal variation in a Puerto Rican stream
We examined whether a tropical stream in Puerto Rico matched predictions of the River Continuum Concept (RCC) for macroinvertebrate functional feeding groups (FFGs). Sampling sites for macroinvertebrates, basal resources, and fishes ranged from headwaters to within 2.5 km of the fourth-order estuary. In a comparison to a model temperate system where RCC predictions generally held, we used catchment area as a measure of stream size in order to examine truncated RCC predictions (i.e., cut off to correspond to the largest stream size sampled in Puerto Rico). Despite dominance of generalist freshwater shrimps, which use more than one feeding mode, RCC predictions held for scrapers, shredders, and predators. Collector-filterers showed a trend opposite that predicted by the RCC, but patterns in basal resources suggest that this is consistent with the central RCC theme: longitudinal distributions of FFGs follow longitudinal patterns in basal resources. Alternatively, the filterer pattern may be explained by fish predation affecting distributions of filter-feeding shrimp. Our results indicate that the RCC generally applies to running waters on tropical islands. However, additional theoretical and field studies across a broad array of stream types should examine whether the RCC needs to be refined to reflect the potential influence of top-down trophic controls on FFG distributions. Support for this work was provided by grants BSR-8811902, DEB-9411973, DEB-9705814 , DEB-0080538, DEB-0218039 , DEB-0620910 , DEB-1239764, DEB-1546686, and DEB-1831952 from the National Science Foundation to the University of Puerto Rico as part of the Luquillo Long-Term Ecological Research Program. Additional support provided by the University of Puerto Rico and the International Institute of Tropical Forestry, USDA Forest Service.
Data from: Development of Single Nucleotide Polymorphism (SNP) Panel for determination of environmental influence on genome for wild Columbia River redband trout (Oncorhynchus mykiss gairdnerii) in Southwest Idaho streams
<p>DNA were derived from fin tissue samples taken from individual trout captured from Little Jacks Creek, Big Jacks Creek , and Duncan Creek of the Owyhee mountains and Keithly Creek and Upper Mann Creek in the Hitt mountains of Western Idaho, United States. Fin tissues were collected from individual trout from each stream during monthly sampling events in June through October 2020. </p> <p><em>DNA Extraction:</em> Extraction of DNA from caudal fin tissues were performed using Quick-DNA Miniprep Plus purification kits (Zymo Research Inc.©). Small sections of fin tissue (≤ 25 mg) were collected from each sample. This was mixed with a digesting solution comprised of ultra-pure water, solid tissue buffer (Zymo Research Inc.©) and proteinase K. All tissues were digested in sealed microcentrifuge tubes for at minimum 3 h at 55°C in a water bath. We then aliquoted 100 µL of digestion supernatant and combined with 200 µL of genomic binding buffer (Zymo Research Inc.©). DNA was eluted in 50, 75, and 100 µL of elution buffer to determine which volume provided sufficient DNA concentration for genotyping. After it was determined all quantities produced suitable concentrations, going forward, 50 µL of elution buffer used.</p> <p><em>Genotyping:</em> Following extraction, genotyping-in-thousands sequencing took place at the Hagerman National Fish Hatchery’s genetics research facility with the assistance of the Columbia River Intertribal Fish Commission (CRTFC). Genotyping protocols were as described in Campbell et al. (2015) and summarized below. First, samples were prepared for amplification via PCR by combining DNA extracts with a Qiagen Plus multiplex master mix and a species-specific pooled primer mix. This step added the Illumina sequencing primer sites to amplicons. Following the creation of the PCR cocktail, thermocycling was conducted for amplification. Amplified samples were then diluted 20-fold. Diluted samples were transferred to new 96-well PCR plates where two genetic indexes and barcodes provides a unique set of tagging primers to each well and plate. Tagged plates then underwent a second PCR step. After the second PCR, all DNA were transferred to Charm Biotech normalization plates where DNA was bound to wells, washed, and finally eluted. After normalization, all DNA was pooled together and a purification step using magnetized beads in two steps to selectively remove fragments of DNA that are both too large and too small for sequencing. Following purification, each plate was quantified via qPCR using Life Technologies QuantStudio 6 Flex Instrument (Life Technologies). Finally, sequencing was performed using an Illumina HiSeq 1500 instrument.</p> <p><strong>Ancillary peer-reviewed manuscripts:</strong><br> <em>Genotyping protocols</em><br> Campbell NR, Harmon SA, Narum SR. 2015. Genotyping-in-Thousands by sequencing (GT-seq): A cost effective SNP genotyping method based on custom amplicon sequencing. Mol Ecol Resour, 15: 855-867. https://doi.org/10.1111/1755-0998.12357<br> <em>SNP loci reference</em><br> Collins EE, Hargrove JS, Delomas TA, Narum SR. 2020. Distribution of genetic variation underlying adult migration timing in steelhead of the Columbia River basin. Ecology and Evolution, 10(17): 9486-9502. https://doi.org/10.1002/ece3.6641 </p> <p><strong>Data Use</strong>:<br> <em>License</em>: <a href="https://creativecommons.org/licenses/by/4.0/">CC-BY 4.0</a> <br> <em>Recommended Citation</em>: Wooding AP, Narum SR, Pradhan DS. 2022. Data from: Development of Single Nucleotide Polymorphism (SNP) Panel for determination of environmental influence on genome for wild Columbia River redband trout (Oncorhynchus mykiss gairdnerii) in Southwest Idaho streams (0.1) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.7055582</p> <p>Funding for this project is provided by US National Science Foundation and Idaho EPSCoR through award: OIA-1757324 </p>
Supporting materials for analysis of global emissions from rivers and streams
<p>These are the raw files to run the analysis detailed here: https://github.com/rocher-ros/RiverMethaneFlux. Further instructions of use can be find in the code repository. </p> <p>The results of this analysis are a global gridded product of methane river concentrations and fluxes, which can be found in: https://doi.org/10.5281/zenodo.8108959.</p> <p>The journal article based on the results of this analysis is currently in press in Nature (https://doi.org/10.1038/s41586-023-06344-6)</p>
Stream nutrient sampling during winter baseflow conditions in the Andrews Forest and Willamette River Basin, February 2009
To better understand the impact of land use on stream nutrient export, a synoptic sampling of streams draining 57 sub-basins within the Willamette River basin was conducted during winter baseflow conditions. The objective of the study was to assess how streamwater values of stream dissolved organic carbon (DOC), NO3- and Cl- and specific ultra-violet absorbance (SUVA) were related with the proportion of land in the watershed in urban areas, agriculture, and forest. Stream water samples were collected during baseflow conditions in February 2009 throughout the Willamette River basin, including the experimental watersheds (1,2,6,7,8,9,10), Lookout and Mack Creeks at the HJ Andrews Forest. Land use for each point-delineated watershed were determined from published values from the PNWERC dataset (http://www.fsl.orst.edu/pnwerc/wrb/access.html).
Weekly grab samples and manual specific conductivity, temperature, and turbidity measurements of streams at the LTER intensive and hillslope sites located in Macon County, North Carolina, within the Little Tennessee River Basin
Weekly grab samples and manual specific conductivity, temperature, and turbidity measurements were taken at 21 streams and rivers in Macon County, NC. Nine intensive sites were monitored weekly in 2010-2011, nine hillslope sites were monitored biweekly in 2012-2013, and three river sites were monitored weekly in 2010-2011 and biweekly in 2012-2013. Data from a brief study of three streams at the Buck Creek Pine Barrens in Clay County, NC, also was completed, as well as one grab sample at Porters Creek, Mountain View Intermediate School. Water samples were analyzed for chemistry at the Coweeta Analytical Lab. Specific conductivity and temperature data were collected using a YSI 30 handheld conductivity meter. Turbidity data were collected using a Hach 2100P turbidimeter.
PIE LTER nutrient grab samples collected between December 1998 and July 2017 in the mainstem, tributaries, and headwater streams in the Ipswich and Parker River watersheds, Massachusetts.
Data set of Ipswich and Parker Rivers and tributaries in Massachusetts collected between December 1998 and July 2017 by MBL, UNH and/or members of the Ipswich and Parker River watershed associations. The data is primarily nutrient content of the streams, but there are some physical descriptors (i.e. discharge, temperature, dissolved oxygen) for some dates and sites. Site description file for all stations sampled in WAT-UNH-IPPR-Synoptic file can be found in WAT-UNH-IPPR-Synoptic-Sites file.
In-stream solar radiation measurements in Miramichi River basin (Canada)
<p>This dataset and associated analysis describe the spatial (catchment and reach scale) and temporal (seasonal, daily and hourly scales) variability in the transmission coefficient, that is the ratio of in-stream solar radiation to above-canopy solar radiation which represents the proportion of incoming solar radiation reaching streams. Data were collected in the Miramichi River basin (Canada). In-stream solar radiation measurements were taken in a small headwater stream (Trib), a medium-sized stream (CatBk) and a wide river (LSWM).</p> <p> </p> <p> </p> <p> </p>
Fig. 3 in Occurrence of a Skin Parasite Argulus coregoni (Branchiura: Argulidae) on Salmonids in Mountain Streams, Central Japan, with Discussion on Its Longitudinal Distribution and Host Utilization in Rivers
Fig. 3. Mountain streams where the salmonids infected with Argulus coregoni were caught in Gifu Prefecture, central Japan. A, Main stream of the upper Maze River (locality 1 in Fig. 2); B, tributary of the Hida River (locality 2); C, tributary of the Tsukechi River (locality 3); D, tributary of the Yoshida River (locality 4); E, main stream of the Itoshiro River (locality 5); F, tributary of the Itoshiro River (locality 5); G, tributary of the Sho River (locality 6); H, main stream of the Gamada River (locality 7).
Fig. 2 in Occurrence of a Skin Parasite Argulus coregoni (Branchiura: Argulidae) on Salmonids in Mountain Streams, Central Japan, with Discussion on Its Longitudinal Distribution and Host Utilization in Rivers
Fig. 2. Map showing the collection localities of salmonids infect- ed with Argulus coregoni (closed circles 1–7) in rivers of Gifu Prefecture, central Japan. The collection localities of ayu, Plecoglossus altivelis altivelis, infected with A. coregoni, are also shown (open triangles 8–11). 1, Upper reaches of the Maze River; 2, tributary of the Hida River; 3, tributary of the Tsukechi River; 4, tributary of the Yoshida River; 5, the Itoshiro River; 6, tributary of the Sho River; 7, the Gamada River; 8, middle reaches of the Maze River; 9, middle reaches of the Shira River; 10. middle reaches of the Nagara River; 11, lower reaches of the Nagara River.
Fig. 1 in Occurrence of a Skin Parasite Argulus coregoni (Branchiura: Argulidae) on Salmonids in Mountain Streams, Central Japan, with Discussion on Its Longitudinal Distribution and Host Utilization in Rivers
Fig. 1. Argulus coregoni, male, NSMT-Cr 30777, from a white-spotted char, Salvelinus leucomaenis, from the Gamada River, Gifu Prefecture, ethanol-preserved specimen, A, Dorsal view; B, ventral view; C, two females infecting a white-spotted char (180 mm FL) near the left pectoral fin (from the Maze River); D, one female infecting a red-spotted masu salmon, Oncorhynchus masou ishikawae (103 mm FL), near the base of the dorsal fin (from a tributary of the Hida River); E, one female (left) and one male (right) infecting a masu salmon, O. m. masou (257 mm FL), near the left pectoral fin (from the Itoshiro River); F, one female infecting a hybrid between white-spotted char and masu salmon (165 mm FL) near the dorsal fin (from the Itoshiro River). Arrowheads indicate individuals of A. coregoni. See Fig. 2 for the locations of the rivers. Scale bars: A, B, 2 mm; C–F, 20 mm.
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Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
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DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.