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10 results for “Physicochemical characteristics”
Alpine and subalpine wetland soil physicochemical characteristics, summer 2020.
To understand patterns in soil biogeochemistry of wetlands at Niwot Ridge, samples were collected and analyzed for a series of physicochemical characteristics during 2020-2021. Samples were collected from 8 wetland sites lying at different elevations from the Saddle into the subalpine. At each site, samples were collected at 4 depth intervals within 5 sampling nodes along transects from the dry edge to saturated center of each system. These soils were analyzed for a suite of physicochemical characteristics, including soil moisture, bulk density, extractable nitrate and ammonium, loss on ignition as a proxy for organic carbon content, pH, total carbon and nitrogen, and adsorbed sulfate. Data will be used to inform future studies on biogeochemistry patterns and processes in alpine wetlands and across the Niwot landscape.
Figure 5 in A simplistic water body-specific risk assessment model for zebra mussel (Dreissena polymorpha) establishment based on physicochemical characteristics
Figure 5. Overall zebra mussel establishment risk categorization of 133 Texas water bodies based on calcium, pH, salinity, and temperature. Major water bodies not included in this study due to lack of TCEQ water quality data are shown for context of the study extent. The Whittier et. al. low calcium/low risk zone delineation is shown to demonstrate level of agreement with that study, which is relatively high with some noteworthy exceptions. The Cypress, Sabine, and Neches River basins referenced in the text are the three East Texas basins with predominantly minimal risk water body categorizations.
Figure 2 in A simplistic water body-specific risk assessment model for zebra mussel (Dreissena polymorpha) establishment based on physicochemical characteristics
Figure 2. pH-based zebra mussel establishment risk categorization of 133 Texas water bodies. Major water bodies not included in this study due to lack of TCEQ water quality data are shown for context of the study extent.
Figure 4 in A simplistic water body-specific risk assessment model for zebra mussel (Dreissena polymorpha) establishment based on physicochemical characteristics
Figure 4. Temperature-based zebra mussel establishment risk categorization of 126 Texas water bodies. Major water bodies not included in this study due to lack of TCEQ water quality data are shown for context of the study extent.
Figure 3 in A simplistic water body-specific risk assessment model for zebra mussel (Dreissena polymorpha) establishment based on physicochemical characteristics
Figure 3. Salinity-based zebra mussel establishment risk categorization of 133 Texas water bodies. Major water bodies not included in this study due to lack of TCEQ water quality data are shown for context of the study extent.
Figure 1 in A simplistic water body-specific risk assessment model for zebra mussel (Dreissena polymorpha) establishment based on physicochemical characteristics
Figure 1. Calcium-based zebra mussel establishment risk categorization of 85 Texas water bodies. Areas to the east of the Whittier et al. (2008) calcium risk delineation were predicted by that study to have ≤ 12 mg/l calcium (i.e., minimal establishment risk); this delineation is shown to demonstrate level of agreement with that study. Major water bodies not included in this study due to lack of TCEQ water quality data are shown for context of the study extent. The Cypress, Sabine, and Neches River basins referenced in the text are the three East Texas basins with predominantly minimal risk water body categorizations.
Figure 3 in Physicochemical features, functional characteristics, and health benefits of cottonseed oil: a review
Figure 3. Functional compounds namely Gadoleic acid, Eicosadienoic acid, Linolenic acid and Erucic acid present in cottonseed oil (Firestone, 1999).
Figure 1 in Physicochemical features, functional characteristics, and health benefits of cottonseed oil: a review
Figure 1. Overview of cottonseed oil.
Raw data of microbiological and physicochemical characteristics of artisanal food products
<p>Raw data of the microbiological and physicochemical characteristics of the artisanal food products under investigation, which were sampled from survey studies in anonymised regional producers. The data are part of the results produced in Work package 2; and have been used to construct the monitoring quality charts of deliverable D7.3.</p>
Physicochemical characteristics and antioxidant activities of polysaccharides from red seaweeds
<p>Figure S1: <sup>1</sup>H NMR spectra of <em>Chondrus crispus </em>(CC), <em>Palmaria palmate </em>(PP)<em>, Ahnfeltiopsis devoniensis </em>(AD), <em>Sarcodiotheca gaudichaudii </em>(SG). <sup>1</sup>H-NMR spectroscopy showed the full spectrum: 0.0 to 9.0 ppm</p> <p>Figure S2: Spectroscopic analysis of <em>Chondrus crispus </em>extracts 2D HC-HSQC spectra A) CC1A, B) CC2B, C) AD3A, D) SG1A, E) PP2B;</p> <p>Figure S3:<em> </em>2D spectra (CC2A, CC2B) based on HSQCs with k- and i-standards carrageenans samples</p>
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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.