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2,691 results for “streams”
Nutrient concentrations in three small streams on the coast of the Delmarva Peninsula 2002-2009
This dataset contains dissolved nutrient measurements for three small creeks on the Atlantic side of the Delmarva Peninsula in Virginia.
Reuse streams at UK waste facilities (HWRCs)
<div> <p>The UK recycles thousands of working and repairable devices every week at its waste facilities. But fixing or reusing them instead could reduce waste, lower emissions and save households money. </p> <p>Through a citizen science project, we investigated what reuse streams are currently available at household waste and recycling centres (HWRCs) and the challenges of making reuse more widely available.</p> <p>This dataset contains records for all HWRCs across the UK and details of any publicly-communicated reuse streams at each site. It is accompanied by a narrative report. Last updated October 2024.</p> </div>
The Impact of Gulf Stream Frontal Eddies on Ecology and Biogeochemistry near Cape Hatteras
<p>This data goes along with the manuscript "The Impact of Gulf Stream Frontal Eddies on Ecology and Biogeochemistry near Cape Hatteras" available as a preprint at https://doi.org/10.1101/2023.02.22.529409 and under review in the Journal of Geophysical Research: Oceans. The code to analyze this data and generate the figures from the paper is available at: https://github.com/patrickcgray/gs_front_analysis (https://doi.org/10.5281/zenodo.7685135).</p>
Monthly and Annual contour lines of the zero and the positive maximum of the Wind Stress Curl over Western North Atlantic during 1980-2019 and the Gulf Stream path during 1993-2019.
<p>This dataset includes multiple fields: (i) files for monthly and annual fields for the max curl line and the zero curl line at 0.1 degree longitudinal resolutions; (ii) files for monthly and annual GS path obtained from Altimetry and originally processed by Andres (2016) at 0.1 degree longitudinal resolution. The maximum curl line (MCL) and the zero curl line (ZCL) calculations are briefly described here and are based on the original wind data (at 1.25 x 1.25 degree) provided by the Japanese reanalysis (JRA-55; Kobayashi et al., 2015) and available at https://zenodo.org/record/8200832 (Gifford et al. 2023). For details see Gifford, 2023. </p> <p>The wind stress curl (WSC) fields used for the MCL and ZCL calculations extend from 80W to 45W and 30N to 45N at the 1.25 by 1.25-degree resolution. The MCL is defined as the maximum WSC values greater than zero within the domain per 1.25 degree longitude. As such, it is a function of longitude and is not a constant WSC value unlike the zero contour. High wind stress curl values that occurred near the coast were not included within this calculation. After MCL at the 1.25 resolution was obtained the line was smoothed with a gaussian smoothing and interpolated on to a 0.1 longitudinal resolution. The smoothed MCL lines at 0.1 degree resolution are provided in separate files for monthly and annual averages (2 files). Similarly, 2 other files (monthly and annual) are provided for the ZCL. </p> <p>Like the MCL, the ZCL is a line derived from 1.25 degree longitude throughout the domain under the condition that it's the line of zero WSC. The ZCL is constant at 0 and does not vary spatially like the MCL. If there are more than one location of zero curl for a given longitude the first location south of the MCL is selected. Similar to the MCL, the ZCL was smoothed with a gaussian smoothing and interpolated on to a 0.1 longitudinal resolution. </p> <p>The above files span the years from 1980 through 2019. So, the monthly files have 480 months starting January 1980, and the annual files have 40 years of data. The files are organized with each row being a new time step and each column being a different longitude. Therefore, the monthly MCL and ZCL files are each 480 x 351 for the 0.1 resolution data. Similarly, the annual files are 40 x 351 for the 0.1 degree resolution data. </p> <p><strong>Note that the monthly MCLs and ZCLs are obtained from the monthly wind-stress curl fields. The annual MCLs and ZCLs are obtained from the annual wind-stress curl fields.</strong></p> <p>Since the monthly curl fields preserves more atmospheric mesoscales than the annual curl fields, the 12-month average of the monthly MCLs and ZCLs will not match with the annual MCLs and ZCLs derived from the annual curl field. The annual MCLs and ZCLs provided here are obtained from the annual curl fields and representative metrics of the wind forcing on an annual time-scale. </p> <p>Furthermore, the monthly Gulf Stream axis path (25 cm isoheight from Altimeter, reprocessed by Andres (2016) technique) from 1993 through 2019 have been made available here. A total of 324 monthly paths of the Gulf Stream are tabulated. In addition, the annual GS paths for these 27 years (1993-2019) of altimetry era have been put together for ease of use. The monthly Gulf Stream paths have been resampled and reprocessed for uniqueness at every 0.1 degree longitude from 75W to 50W and smoothed with a 100 km (10 point) running average via matlab. The uniqueness has been achieved by using Consolidator algorithm (D’Errico, 2023). </p> <p>Each monthly or annual GS path has 251 points between 75W to 50W at 0.1 degree resolution. </p>
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.
Water quality and watershed attributes of 41 Pampean streams in Argentina, 12 years later (2003-2015).
This database consists of water chemistry (pH, conductivity, dissolved oxygen, nutrients, and carbonates) and catchment attributes for 41 streams of Buenos Aires province, Argentina. Water quality was measured in 2003/4 and 12 years later (2015/16). Sampling were made in May (autumn), November (spring), and February (summer) at baseflow condition. Some physico-chemical parameters were measured in situ. Parameters determined at laboratory were nutrients and salts. And catchment attributes were determined (physiographic parameters, land use, soil type and geology).
Nitrogen fixation (acetylene reduction) and denitrification (acetylene block) data from streams across ecoclimatic domains in the United States, 2017-2019
We conducted a cross-ecoregion study to test the hypothesis that N-fixation and denitrification would co-occur in streams and rivers across a range of reactive N concentrations. Between 2017 and 2019, we sampled 30 streams in 13 ecoregions, using chambers to quantify N-fixation using acetylene reduction and denitrification using acetylene block. 25 of the study streams were part of the National Ecological Observatory Network or the StreamPULSE network, which provided data on water temperature, light, nutrients, discharge and metabolism. Although N-fixation and denitrification occur under contrasting environmental conditions, we found that they co-occurred in ca. 40% of stream ecosystems surveyed, and microbes capable of carrying out each process were found in all surveyed streams. This dataset includes the chamber data used to calculate nitrogen fixation and denitrification rates, stream substrate information used to scale rates from substrate to whole-reach scale, and a variety of reach-to-landscape scale covariates used to evaluate predictors of rates across the study streams.
Stream Storm Sample Data from White Clay Creek (WCC) Watershed in 2021
These data were collected to explore Nitrogen update dynamics in the water column of small streams during storm events. Data was collected using a combination of passive sampling and grab sampling of suspended sediments from the stream channel. Analysis of samples include: dissolved and total chemistry, suspended sediment load, biological and microbiological characteristics, and Nitrogen uptake rates.
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.
Code for Random Forest models that predict pharmaceutical and water chemistry measurements in Baltimore Ecosystem Study streams
This file contains code to model the relationship between the water chemistry measurements and discharge measured as part of BES routine sampling and the pharmaceuticals measured in WY 2018. We use Random Forest models to predict 1) total (i.e., summed) concentration of the pharmaceuticals for which we screened, 2) total nutrient concentrations (TN & TP), 3) whether or not the antibiotic trimethoprim was detected in a given sample, and 4) whether or not nitrate and TP were above or below environmentally-relevant threshold concentrations. We also use RF models to predict N and P concentrations over a longer period, in order to compare models for nutrients to pharma. Code and analyses here rely on data processed in the file "BESPharma_WY2018.Rmd", published on EDI (doi:10.6073/pasta/610cb67fcbc8982c2af8ed946dce8ea5) and BES water chemistry data published on EDI (doi:10.6073/pasta/ce7f30e6013e003bfe28c5fd7d4aed23 )
Water quality in restored urban streams in Lexington, KY, USA
Stream-water grab samples were collected periodically from sampling locations upstream and downstream of restored stream reaches in Lexington, KY, USA, and analyzed for a suite of water quality characteristics including nitrate, cations, and pH. Study sites included streams receiving riparian reforestation or other conservation, as well as streams restored using a natural channel design approach. The goal of this sampling program was to evaluate to what extent stream restoration interventions can influence stream-water quality in an urban context.
Temporal patterns of leaf litter inputs into a stream over a four-year period (2011-2014), Arbúcies, Catalonia, Spain.
Data based on estimations of leaf litter inputs from riparian trees into a stream reach over a 4 years period (2011-2014). Data was collected in Arbucies, Barcelona is a forested stream with no human pressure (i.e., pristine). Data contains values from 4 riparian tree species: AL (alder), AS (ash), BL (Black Locust) and BP (Black Poplar). Units are in mg. Estimations were extracted from sampling leaf litter input into the stream during the study period (30 samplings per year) and fitting Gaussian-type models (P<0.001, r2>0.60). Data also includes daily-basis discharge flow estimations based on discrete measure of flow using salt dilution technique and water level sensor data.
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
Stream metabolism estimates and surface water chemistry in Glenbrook Creek (NV) and Blackwood Creek (CA) in the Lake Tahoe Basin, 2021-2024
The goal of this project was to develop a process-based understanding of how in-stream productivity and nitrogen dynamics respond to hydroclimatic volatility. We used a combined approach of high-frequency sensor deployment and maintenance, ecosystem metabolism modeling, and routine monitoring of water chemistry and other parameters. The data we collected as part of this project demonstrate how variable ecosystem productivity is in time and space in within and among mountain streams. Although maintenance of the sensor arrays during the exceptionally wet winter of 2023 was challenging, we were able to estimate a time series of stream metabolism within the upper and lower reaches of two streams with different basin characteristics and through hydroclimatic conditions (2021 to 2024). Throughout this project we: 1. We generated four years of daily estimates of ecosystem metabolism (gross primary productivity, ecosystem respiration, and net ecosystem productivity) from upper and lower reach stations on both the east and west shores of the Lake Tahoe Basin. 2. We measured ammonium (NH4+) and nitrate (NO3-) concentrations in surface water and sediment samples from both Glenbrook and Blackwood creeks. 3. We modeled nitrogen supply and demand dynamics at each reach location. See this git code repository for project analysis: https://github.com/kellyloria/Mountain-stream-biogeochem-and-productivity.
Stream cross-section profiles in the Andrews Experimental Forest and Hagan Block RNA 1978 to 2011
This database consists of periodically resurveyed cross-section profiles for 5 sites (stream reaches) located in the H.J. Andrews Experimental Forest on 3rd to 5th-order stream channels over the period 1978-present, and also includes historical data from Shorter Creek within the Andrews and two sites (North and South) on the Hagan Creek in the Hagan Block RNA. Each of these sites includes 10-20 cross sections spaced about 10-50 m apart. Observations include cross-sectional geometry based on surveys relative to a horizontal line between permanent stations on opposite sides of the stream, substrate type based on pebble counts and notes on extent of bedrock, and photo-documentation of the sites. Sampling was primarily done annually until 2000 and opportunistically since then depending on funding and noted geomorphic changes in response to floods. Sampling at least every 5 years is desired. Data tables cover 1. elevation and distance measurements between fixed end points, 2. pebble counts for particle size, 3. measures of extent of exposed bedrock, 4. vegetation (1984 only) in terms of % cover by spp., % cover of substrate types, and plant measurements for making biomass estimates with allometric equations, but such estimates are not presented. The original raw cross-section data for these sites has been adjusted to align profiles for consecutive year comparisons at each cross-section location to correct for imprecision in the survey methodology. John Faustini, in 1998, further corrected this cross-section data from 1978-1998 for the five main sites in database GS019. Arianna Goodman, in 2021, performed additional corrections on the data, including more recent collections, 1978-2011, also in database GS019. The Shorter Creek cross-section surveys took place in 1978-1982 only. The Shorter Creek cross-section surveys took place in 1978-1982 only.
Arctic LTER Streams Chemistry Toolik Field Station, Alaska 1978 to 2019.
Since 1983, the Streams Project at the Toolik Field Station has monitored physical, chemical, and biological parameters in a 5-km, fourth-order reach of the Kuparuk River near its intersection with the Dalton Highway and the Trans-Alaska Pipeline. In 1989, similar studies were begun on a 3.5-km, third-order reach of a second stream, Oksrukuyik Creek. In each river, physical conditions (such as discharge and temperature), nutrient levels, primary production, insects, and fishes are monitored throughout the summer. Also, we conduct experimental fertilization of the Kuparuk River and Oksrukuyik Creek to determine the effects of added phosphorus and nitrogen on primary productivity, insect communities, and fish growth in arctic rivers. The Oksrukuyik Creek has not been fertilized since 1996. The Kuparuk River received phosphorus additions from 1983 through 2016. Station sites are relative distance from the original nutrient drippers for both the Kuparuk and Oksrukuyik. Kuparuk stations include sites in a reference, recovery, and fertilized reach. Reaches were defined based on the location of nutrient addition (see methods).
Arctic Grayling length, weight and tag data from Arctic LTER Streams project, Toolik Filed Station Alaska, 1985 to 2018
Since 1983, the Streams Project at the Toolik Field Station has monitored physical, chemical, and biological parameters in a 5-km, fourth-order reach of the Kuparuk River near its intersection with the Dalton Highway and the Trans-Alaska Pipeline. In 1989, similar studies were begun on a 3.5-km, third-order reach of a second stream, Oksrukuyik Creek. Fish were collected on each river. Station locations, representing kilomter values certain distances from original phosphorus dripper (see method) were noted. 1985 to 2012 long-term tagging file for Arctic Grayling (Thymallus arcticus) on the Kuparuk River. All grayling adults and juveniles captured during the field season are measured, weighed, tagged and released. Grayling were tagged originally with a colored tag with a number. In 1993, researchers started pit tagging the grayling. These pit tags can be read with an antenna to track the migration of the grayling throughout the Kuparuk River system. Arctic grayling young-of-the-year (YOY) were caught multiple times during each summer and measured and weighed as well. This file combines the data from the following data sets: Dataset ID Short name 10325 1985-2012_Kuparuk_Grayling_Tags 10327 1986-2012_Kuparuk_YOY 10329 1989-2011_Oksrukuyik_Grayling_Tags 10330 1989-2012_Oksrukuyik_YOY
Stream temperature and discharge measured each summer for Oksrukuyik Creek at Dalton Road crossing, Arctic LTER, Toolik Field Station, Alaska, 1989-2019
Oksrukuyik Creek stage height and calculated discharge for the summer of 1989 to present. Stream temperature and discharge measured each summer for several streams in the Toolik area. 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 combines the previous individual yearly files.
Fish tag data remotely detected using whole stream antennas or hand held tag readers in the Kuparuk, Itkilik, and Sagavanirktok drainages near Toolik Field Station, Alaska, from 2010 to 2017
From 2009 to 2017, the FISHSCAPE Project (grant numbers 1719267, 1417754, and 0902153), based at Toolik Field Station, has monitored physical, chemical, and biological parameters within three watersheds: The Kuparuk (including Toolik Lake and Toolik outlet stream); The Sagavanirktok (primarily Oksrukuyik Creek, but also including sections of the Ailish and Atigun Rivers and the Galbraith Lakes); and The Itkillik (primarily the I-Minus outlet stream, a tributary that that feeds into the Itkilik River). Target species were primarily Arctic grayling and Lake trout, although Arctic char, Burbot, Dolly varden, round whitefish, and slimey sculpin were also captured. This file contains the detectioned fish tags using whole stream or hand-held antennas in the three watersheds. We had no field season in 2014 and thus did not deploy antennaes. Fish were tagged with Passive Integrated Transponder (PIT) tags which can be read with a whole stream antenna to track the migration of the fish, predominately Arctic grayling, throughout the systems. Fish tags detected with a handheld readers are designated in Site ID as "XXX_capture". For "capture" fish time is arbitraily set at '7:00:00'' of the day of capture and tagging because actual time was not recorded. The individual fish data (date, tag number, length, weight, species) associated with the tag can be found in the 2009-2017_FISHSCAPE_fish_tagging file.
Fish tagging data (length, weight, tag number) from the Kuparuk, the Sagavanirktok (primarily Oksrukuyik Creek) and the Itkillik (primarily the I-Minus outlet stream) watersheds, 2009 - 2017
Since 2009, the FISHSCAPE Project (grant number 1719267, 1417754, and 0902153), based at Toolik Field Station, has monitored physical, chemical, and biological parameters within three watersheds: The Kuparuk (including Toolik Lake and Toolik outlet stream); The Sagavanirktok (primarily Oksrukuyik Creek, but also including sections of the Ailish and Atigun Rivers and the Galbraith Lakes); and The Itkillik (primarily the I-Minus outlet stream, a tributary that that feeds into the Itkilik River). Target species were primarily Arctic grayling and Lake trout, although Arctic char, Burbot, Dolly varden, round whitefish, and slimey sculpin were also captured. Fish were collected on each river/lake. Coordinates and/or specific station locations were noted. All fish captured during the field season are measured, weighed, tagged (if large enough) and released. If fish were not previously tagged, they were tagged with Passive Integrated Transponder (PIT) tags which can be read with a whole stream antenna to track the migration of the fish, predminately Arctic grayling, throughout the systems.
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Allen Brain Atlas
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Annotated Behaviour and Observability Dataset (ABODe)
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DANDI Archive for NWB datasets
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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.