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31 results for “water quality assessment”
An evidence map of research assessing the effects of timber harvesting on water quality, biotic and biodiversity indicators in running waters: Data and R code
<p>These are the data and R code that accompany the Forest Ecology and Management publication titled "An evidence map of research assessing the effects of timber harvesting on water quality, biotic and biodiversity indicators in running waters". </p>
DEEP Lakes Grant Program water quality assessment, CT, 1937-2006
“The water quality of lakes in Connecticut has historically been assessed by the CTDEP using best professional judgment as a follow-up to citizen complaints. The CTDEP possesses a number of lake technical studies (dredging feasibility studies, drainage studies, and diagnostic/feasibility studies) that were completed by local municipalities and lake associations using funding provided through the Connecticut Lakes Grant Program. Many of these reports contain data regarding lake water quality and limnological and watershed characteristics."
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.
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 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).
Data from: Assessment of grain quality in terms of functional group response to elevated [CO2], water and nitrogen using a meta-analysis: Grain protein, zinc and iron under future climate
The increasing [CO2] in the atmosphere increases crop productivity. However, grain quality of cereals and pulses are substantially decreased and consequently compromise human health. Meta-analysis techniques were employed to investigate the effect of elevated [CO2] (e[CO2]) on protein, zinc (Zn) and iron (Fe) concentrations of major food crops (542 experimental observations from 135 studies) including wheat, rice, soybean, field peas and corn considering different levels of water and nitrogen (N). Each crop, except soybean, had decreased protein, Zn and Fe concentrations when grown at e[CO2] concentration ( ≥550 μmol mol-1) compared ambient [CO2] (a[CO2]) concentration (≤ 380 μmol mol-1). Grain protein, Zn and Fe concentrations were reduced under e[CO2], however, the responses of protein, Zn and Fe concentrations to e[CO2 ] were modified by water stress and N. There was an increase in Fe concentration in soybean under medium N and wet conditions but non-significant. The reductions in protein concentrations for wheat and rice were ~ 5-10%, and the reductions in Zn and Fe concentrations were ~ 3-12%. For soybean, there was a small and non-significant increase of 0.37% in its protein concentration under medium N and dry water, while Zn and Fe concentrations were reduced by ~ 2-5%. The protein concentration of field peas decreased by 1.7%, and the reductions in Zn and Fe concentrations were ~ 4-10%. The reductions in protein, Zn and Fe concentrations of corn were ~ 5-10%. Bias in the dataset was assessed using a regression test and rank correlation. The analysis indicated that there are medium levels of bias within published meta-analysis studies of crops responses to Free Air [CO2]Enrichment (FACE). However, the integration of the influence of reporting bias did not affect the significance or the direction of the [CO2] effects.
Figure 1 in Water quality assessment in an irrigation pond based on adult caddisfly (Insecta: Trichoptera) assemblages
Figure 1. Sampling site for adult Trichoptera and water quality variables.
Data from: Assessment of grain quality in terms of functional group response to elevated [CO2], water and nitrogen using a meta-analysis: Grain protein, zinc and iron under future climate
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Data from: Water quality assessment of Australian ports using water quality evaluation indices
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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.