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484 results for “water quality”
NYCDEP Catskill Reservoirs (NY): water quality, 1984-2011
This data set is derived from the NY City’s Department of Environmental Protection’s Watershed Protection Program. This involves the monitoring of several reservoirs that provide the drinking water for the City of New York. Nineteen reservoirs provide drinking water to the City, but this data set includes 5 sites in the west Hudson region (except for Rondout Reservoir, which was excluded because it is strongly influenced by water transfers to the system and has a very short residence time) due to restrictions on data usage. In addition to the data set described here, NYCDEP also provided temp/DO profile data. Five reservoirs are included in this data set: Ashokan- east and west basins, Cannonsville, Neversink, Pepacton, and Schoharie. Multiple sites are sampled within each reservoir, and multiple depths are sampled at each site. Often, sampling focuses on epilimnetic and hypolimnetic layers, but often more detailed profiles are included. Temporal sampling: Sampled roughly every two weeks from April or May through November or December of each year. However, not all variables and all depths were sampled on all dates, and in some years, sampling is more intensive.
University of Rhode Island Watershed Watch (URIWW), RI: water quality monitoring, 1988-2010
The URI Watershed Watch (URIWW) is a volunteer water quality monitoring program that works with local communities to assess water quality. Led by trained scientists, URI Watershed Watch helps local governments, watershed, tribal and other organizations recruit and train volunteers to become citizen scientists gathering detailed, quality assured monitoring data. This watershed-based program focuses on long-term environmental monitoring of RI's fresh and salt water resources including lakes, ponds, streams and coastal waters. URIWW staff provides training, equipment, supplies and analytical services tailored to organizational needs, while meeting strict quality assurance and quality control guidelines in the field and in our state-certified water testing laboratory. Sites included for LAGOS purposes are classified as Lakes by URIWW program. Tidally-influenced or salt pond sites were excluded. A single site was selected for the handful of lakes/reservoirs with 2 sampling site records, and a limited number of other lakes were excluded if they were sampled in only 1 year and for a subset of variables. Otherwise, all sites classified as lakes by URIWW are included in the LAGOS-relevant files.
Grand Portage Band of the Lake Superior Chippewa Water Quality Program, MN, 1999-2011
This database includes 15 lakes located in the Grand Portage Tribe reservation in Northeastern Minnesota. Grand Portage has federally approved Water Quality Standards based on this sampling program and is working towards a federal mandate to establish nutrient criteria for fifteen inland lakes. The lakes have been sampled for physical, chemistry and chlorophyll data beginning in 1999, once per month from May to October. The variables sampled include: alkalinity, calcium, chloride, chlorophyll, Mg, total nitrogen, organic nitrogen, nitrate/nitrite, total phosphorus, total suspended solids, specific conductance, sulfate, pH, DOC, color, Secchi depth, dissolved oxygen, temperature, total dissolved solids, turbidity, chloride, Secchi depth.
Vermont Department of Environmental Conservation. Vermont Water Quality Data Archive and Lake Inventory Database from 1977 to 2010. Waterbury, VT
VT’s long-term archive of lake physical and chemical water quality. Maintained on a Sequel Server platform. Database integrates measurements from 1977 to present, and is continually being updated and augmented. Numerous parameters are archived within the database.
Lake Wallenpaupack Water Quality Evaluation, PA: water chemistry, 1980-2012
PPL Corporation created Lake Wallenpaupack in 1926 and uses water from the lake to generate hydroelectric power… The Lake Wallenpaupack Watershed Management District (LWWMD) was established in 1979 to preserve and protect the water quality of Lake Wallenpaupack. The LWWMD Board of Directors consists of representatives of the business community, local government, and PPL Corporation. PPL Corporation has funded a yearly water quality monitoring program for Lake Wallenpaupack since the early 1980s. …The water quality of Lake Wallenpaupack has been monitored on a yearly basis from 1980 through the present. In general, the water quality of Lake Wallenpaupack has improved since 1980. Over the past several years, total phosphorus levels in the lake have been stable and consistently lower (better) than 1980 total phosphorus levels. Chlorophyll a and transparency levels were also better than the 1980 levels for many years. However, chlorophyll a have been increasing in recent years, to a peak in 2002, while transparency has been decreasing (becoming less favorable). The main water quality parameters that were evaluated as part of this study include dissolved oxygen, phosphorus, nitrogen, chlorophyll a, transparency, pH, alkalinity, phytoplankton, and zooplankton
Michigan Department of Environmental Quality (MI): water quality sampling program, 1967-1997
This program is the water quality sampling program for the state of Michigan (formerly the Department of Natural Resources, then the Department of Environmental Quality). Most, if not all lakes are public and > 25 acres. The goal of the program is to determine inland lake trophic status. Spring samples are taken to determine total phosphorus and other parameter levels of the lake while it is well mixed. Summer samples were also performed for other parameters.
Michigan Department of Environmental Quality, Michigan's Lake Water Quality Assessment Program (MI-LWQA), 2001-2010
The sampling methodology and program was designed to replicate the methods used historically by MI-DEQ to sample inland lakes in the 1970-1980’s. Each year, lakes were selected randomly from 7-10 major watersheds in MI. Watersheds were monitored in a 5-yr cycle in conjunctions with current MI-DEQ water quality activities. Lakes > 25 acres were chosen that had public boat access.
ADEQ (Arizona Department of Water Quality) database on well water chemistry and discharge for the Phoenix area, locations of the wells.
This database from the Arizona Department of Environmental Quality contains water chemistry, discharge, and pumping rates for all wells in the Phoenix Metropolitan area.
Biofuels Harvest:Biodiversity: A field test of biofuel production and ground-water quality
Bioenergy could be an important part of the solution to the projected climate problems of the future, and in addition could provide auxiliary ecological services. The project described here aims to parameterize expected benefits of diverse prairie biofuel plantations for groundwater quality, and also to further evaluate its biofuel potential. This project, done in cooperation with the USGS, grows out of purely scientific discoveries in other Cedar Creek experiments. We know that diverse prairie systems are better able to retain inorganic nitrogen than monoculture systems (e.g., Dijkstra etal. 2007). However, nitrogen is just one pollutant of many being delivered to surface-water and ground-water from agricultural systems. There are a number of others including phosphorus, pesticides, and veterinary pharmaceuticals. This fact combined with the rising demand for corn grain ethanol could lead to further declines in the water quality of agricultural regions in the United States. Perennial vegetative buffers, in particular diverse prairies and/or hay (CRP), are proposed solutions. The vegetation in such buffers can be used for biofuel and simultaneously appear to be attenuate leaching of agricultural compounds through the unsaturated zone to groundwater. This 3-year cooperative USGS and UMN study will (1) examine the ability of prairies and hay (CRP) to attenuate leaching of agricultural compounds to ground-water (2) compare biofuel production of four cropping systems: diverse prairie, hay (CRP), corn grown with chemical fertilizer, and corn grown with a combination of manure and chemical fertilizer, (3) provide for future investigations into microbial antibiotic resistance and (4) provide a better understanding of the unsaturated zone hydrology and shallow groundwater recharge at Cedar Creek. The project will take place in the E120 field.
Plant community light interception:Biodiversity: A field test of biofuel production and ground-water quality
Bioenergy could be an important part of the solution to the projected climate problems of the future, and in addition could provide auxiliary ecological services. The project described here aims to parameterize expected benefits of diverse prairie biofuel plantations for groundwater quality, and also to further evaluate its biofuel potential. This project, done in cooperation with the USGS, grows out of purely scientific discoveries in other Cedar Creek experiments. We know that diverse prairie systems are better able to retain inorganic nitrogen than monoculture systems (e.g., Dijkstra etal. 2007). However, nitrogen is just one pollutant of many being delivered to surface-water and ground-water from agricultural systems. There are a number of others including phosphorus, pesticides, and veterinary pharmaceuticals. This fact combined with the rising demand for corn grain ethanol could lead to further declines in the water quality of agricultural regions in the United States. Perennial vegetative buffers, in particular diverse prairies and/or hay (CRP), are proposed solutions. The vegetation in such buffers can be used for biofuel and simultaneously appear to be attenuate leaching of agricultural compounds through the unsaturated zone to groundwater. This 3-year cooperative USGS and UMN study will (1) examine the ability of prairies and hay (CRP) to attenuate leaching of agricultural compounds to ground-water (2) compare biofuel production of four cropping systems: diverse prairie, hay (CRP), corn grown with chemical fertilizer, and corn grown with a combination of manure and chemical fertilizer, (3) provide for future investigations into microbial antibiotic resistance and (4) provide a better understanding of the unsaturated zone hydrology and shallow groundwater recharge at Cedar Creek. The project will take place in the E120 field.
FLUID: Bio-optical water quality parameters (in-situ 2017-2019) in 4 Baltic lakes
<p>The database consists bio-optical measurements done under FLUID<sup>1</sup> project in 4 different lakes (Burtnieks, Lubans, Razna and Võrtsjärv) during 2017-2019.</p> <p>The listed parameters are: </p> <ul> <li>LAKE (name)</li> <li>DATE </li> <li>TIME (local time)</li> <li>LAT (latitude)</li> <li>LON (longitude)</li> <li>Air T (air temperature in Celcius)</li> <li>Water T (water temperature in 0.5 m depth in Celcius)</li> <li>DO (dissolved oxygen in ppm)</li> <li>O2 (O2 saturation in %)</li> <li>Secchi (in meters)</li> <li>Chl a (chlorophyll-a in mg/m3)</li> <li>Pheo (pheopigments in mg/m3) </li> <li>TSS (total suspended sediments in mg/l)</li> <li>OSS (organinc suspended sediments in mg/l)</li> <li>MSS (mineral suspended sediments in mg/l)</li> <li>CDOM (absorption of coloured dissolved organic matter at 400 nm)</li> <li>TN (total nitrogen in mg/l)</li> <li>TP (total phosphorus in mg/l)</li> <li>CO2 (carbon dioxide in mg/l)</li> </ul> <p><sup>1</sup>FLUID is funded by ERDF, Latvian state budget and IES proposal No.1.1.1.2/VIAA/1/16/137, Contract No. 1.1.1.2/16/I/001 “Innovative tool for lake monitoring using remote sensing data"</p>
GECCO Industrial Challenge 2018 Dataset: A water quality dataset for the 'Internet of Things: Online Anomaly Detection for Drinking Water Quality' competition at the Genetic and Evolutionary Computation Conference 2018, Kyoto, Japan.
<p>Dataset of the 'Internet of Things: Online Anomaly Detection for Drinking Water Quality' competition hosted at The Genetic and Evolutionary Computation Conference (GECCO) July 15th-19th 2018, Kyoto, Japan</p> <p> </p> <p>The task of the competition was to develop an anomaly detection algorithm for a water- and environmental data set.</p> <p> </p> <p>Included in zenodo: </p> <p>- dataset of water quality data</p> <p>- additional material and descriptions provided for the competition</p> <p> </p> <p>The competition was organized by:</p> <p>F. Rehbach, M. Rebolledo, S. Moritz, S. Chandrasekaran, T. Bartz-Beielstein (TH Köln)</p> <p> </p> <p>The dataset was provided by:</p> <p>Thüringer Fernwasserversorgung and IMProvT research project</p> <p> </p> <p>GECCO Industrial Challenge: 'Internet of Things: Online Anomaly Detection for Drinking Water Quality'</p> <p>Description:</p> <p>For the 7th time in GECCO history, the SPOTSeven Lab is hosting an industrial challenge in cooperation with various industry partners. This years challenge, based on the 2017 challenge, is held in cooperation with "Thüringer Fernwasserversorgung" which provides their real-world data set. The task of this years competition is to develop an anomaly detection algorithm for the water- and environmental data set. Early identification of anomalies in water quality data is a challenging task. It is important to identify true undesirable variations in the water quality. At the same time, false alarm rates have to be very low.<br> Additionally to the competition, for the first time in GECCO history we are now able to provide the opportunity for all participants to submit 2-page algorithm descriptions for the GECCO Companion. Thus, it is now possible to create publications in a similar procedure to the Late Breaking Abstracts (LBAs) directly through competition participation!</p> <p> </p> <p>Accepted Competition Entry Abstracts<br> - Online Anomaly Detection for Drinking Water Quality Using a Multi-objective Machine Learning Approach (Victor Henrique Alves Ribeiro and Gilberto Reynoso Meza from the Pontifical Catholic University of Parana)<br> - Anomaly Detection for Drinking Water Quality via Deep BiLSTM Ensemble (Xingguo Chen, Fan Feng, Jikai Wu, and Wenyu Liu from the Nanjing University of Posts and Telecommunications and Nanjing University)<br> - Automatic vs. Manual Feature Engineering for Anomaly Detection of Drinking-Water Quality (Valerie Aenne Nicola Fehst from idatase GmbH)</p> <p>Official webpage:</p> <p><a href="http://www.spotseven.de/gecco/gecco-challenge/gecco-challenge-2018/">http://www.spotseven.de/gecco/gecco-challenge/gecco-challenge-2018/</a></p>
Urbanization mediates the effects of water quality and climate on a model aerial insectivorous bird
<p>Aerial insectivorous birds have experienced alarming population declines in eastern North America. Meanwhile, urbanization continues to increase rapidly, with urban land use comprising 69.4 million acres, or 3.6% of total land area, in the contiguous United States. Multiple environmental changes are associated with urbanization, including alterations to local climate, changes in habitat structure, and potential shifts in both terrestrial and emergent aquatic flying insects on which aerial insectivorous birds rely. Here, we investigated the linkages between urbanization, water quality, and Tree Swallow (<i>Tachycineta bicolor</i>) reproductive success and body condition at seven river-riparian sites representing urban and protected land use in Columbus, Ohio over five consecutive years (2014-2018). Tree Swallows at urban and protected sites relied on emergent aquatic insects for 37.4 and 30.8% (SD = 28.4 and 24.1%) of their nutritional subsidies, respectively. Despite the loss of environmental quality generally attributed to cities, Tree Swallows exhibited greater reproductive success in urban settings where climate was more amenable to egg and nestling survival, and the breeding season was longer. Urban-nesting Tree Swallows initiated laying 7.9 days earlier and fledged 35% more young per nest than those at protected sites. Multiple characteristics of urban sites appeared to drive these patterns, including differences in mean and extreme air temperatures and measures of water quality (e.g., water temperature, nutrient concentrations, turbidity). However, chronic effects of elevated Hg concentrations – which were 482% greater in adult swallow blood at urban sites than at protected sites where swallows exhibited a 17.4% lower trophic position – may disadvantage individuals in other ways. Further, although Tree Swallows are a good model aerial insectivore bird species, characteristics of urban landscapes that benefit Tree Swallows may not advantage other aerial insectivorous birds owing to differences in life-history and foraging strategies. These findings implicate urbanization, local climate, and water quality as important considerations in the conservation of aerial insectivorous birds.</p>
Coastal stormwater wet pond water quality and sediment nitrogen cycling across a range of temperatures and antecedent precipitation
<p>This dataset contains measurements of water quality and gas and nutrient fluxes from stormwater wet pond sediments in coastal North Carolina, USA. Includes measurements from seven sampling events across a range of temperatures (19 - 31 degrees C) and antecedent precipitation.</p>
Non-linear effects of precipitation on river water quality revealed by city-level causal modelling
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Fig. 7 in Integrated biomarker response index using a Neotropical fish to assess the water quality in agricultural areas
Fig. 7. Integrated biomarkers response index (IBR) values for each experimental site along Água das Araras stream (S1, S2, S3, S4, and S5) where in situ tests were performed. Biomarkers results are represented in relation to the reference site (0). The area above 0 reflects induction of the biomarker, and below 0 indicates reduction of the biomarker.
Fig. 5 in Integrated biomarker response index using a Neotropical fish to assess the water quality in agricultural areas
Fig. 5. Activity (mean ± SEM, n = 8) of acetylcholinesterase in muscle (A) and brain (B) of A. altiparanae exposed in situ for seven days in five sites along Água das Araras stream (S1, S2, S3, S4, and S5) and in a reference site (Ref). Different letters indicate significant differences between sites (P <0.05).
Fig. 1 in Integrated biomarker response index using a Neotropical fish to assess the water quality in agricultural areas
Fig. 1. Maps are showing South America (A), Paraná State (B) and Água das Araras stream (C) indicating the five experimental sites along of the stream (S1, S2, S3, S4, and S5) and the reference site (Ref), which is a small stream within a forest fragment named "Parque Estadual Mata São Francisco".
Figure 2 in The influence of land use-impacted tributaries on water quality and phytoplankton in the Mooi River, North West Province, South Africa
Figure 2: Cumulative phytoplankton density (cells/ml) and diversity in the Mooi River during 2015. Dark blue vertical dotted lines indicate inflows of the WFS, GM and the WS, while the light blue vertical dotted line indicates the location of the WWTP. The phytoplankton diversity in each tributary is illustrated with a pie chart. Red dots represent the mean phytoplankton density (cells/ml) for the WFS, GM, and WS, while the total phytoplankton density is given in brackets. Red arrows represent values exceeding values on the Y-axis. Cyano = Cyanophyta, Bacil = Bacillariophyta, Chlor = Chlorophyta, Cryp = Cryptophyta, Chrys = Chrysophyta, Dino = Dinophyta, and Eugl = Euglenophyta.
Figure 2 in Water quality assessment of the Demetrio stream: an affluent of the Gravataí River in the South of Brazil
Figure 2. Color and Fe correlation patterns in relation of three water samples of Demétrio stream: point 1 (P1), point 2 (P2) and point 3 (P3).
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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)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
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.