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484 results for “water quality”
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: The low but uncertain measured benefits of U.S. water quality policy
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Data from: Long-term agroecosystem research in the Central Mississippi River Basin: Goodwater Creek Experimental Watershed and regional herbicide water quality data
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Data from: Effects of land use, topography, climate and socio-economic factors on geographical variation pattern of inland surface water quality in China
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Data from: Water quality assessment of Australian ports using water quality evaluation indices
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Indicators of Coastal Water Quality: Change in Chlorophyll-a Concentration 1998-2007
The Change in Chlorophyll-a Concentrations 1998-2007 component of the Indicators of Coastal Water Quality Collection represents a tabular time series of the chlorophyll-a concentrations for each grid cell, derived from the "Indicators of Coastal Water Quality: Annual Chlorophyll-a Concentration 1998-2007" data set. Chlorophyll-a concentrations are derived from NASA's Sea-viewing Wide Field-of-view Sensor (SeaWiFS). The grid cells are organized by country, and the percentage of change from 1998-2007 is calculated for each cell. Each time series was assessed with a linear regression, and cells with statistically significant trends in chlorophyll-a concentrations are identified. The rows of the table are linked to a sequence grid from the "Indicators of Coastal Water Quality: Ancillary Data" collection to facilitate the mapping of the trend values for selected countries and areas of interest. The data are processed and compiled by the Columbia University Center for International Earth Science Information Network (CIESIN).
Water quality monitoring program in Lake Michigan and Green Bay
Measurements taken in Lake Michigan and Green Bay in 2012 as part of a water quality monitoring program.
Use of the Operational Air Quality Monitor (AQM) for In-Flight Water Testing Project
<p>Currently, the Air Quality Monitor (AQM) on-board ISS provides specific information for a number of target compounds in the air. However, there is a significant subset of common target compounds between air and water.&nbsp; Naturally, the following question arises, &ldquo;Can the AQM be used for both air and water quality monitoring?&rdquo;&nbsp; Previous directorate-level IR&amp;D funding led to the development of a water sample introduction method for mass spectrometry using electro-thermal vaporization (ETV).&nbsp; This vaporization source allows analytes in water samples to enter the gas phase, where they can be analyzed using a variety of techniques.&nbsp; This project will focus on the integration of the ETV with a ground-based AQM.&nbsp; The capabilities of this integrated platform will be evaluated using a subset of toxicologically important compounds.</p><p>The ETV unit was constructed using two glass tubes and a nichrome ribbon powered by a programmable DC power supply (G W Instec, PSM-3004).&nbsp; The nichrome ribbon was threaded through two 3-mm wide, 1-cm-long slot cuts on the inner tube placed 1.5 cm past the inlet.&nbsp; The ribbon was held securely by compressing it between the inner tube and two halves of an outer glass tube.&nbsp; These halves were held together using a flexible metal clamp.&nbsp; Inside the inner tube the ribbon was slightly curved, and an indent (1 mm diameter) was made on its surface for depositing a measured liquid sample drop.&nbsp; The ribbon was positioned in the upper half of the inner tube in such a way that the edge of the ribbon faced the front (inlet) side of the ETV unit.&nbsp; Holes (1 mm diameter) were made on the outer and inner glass tubes for sample introduction and were aligned with the ribbon indent.</p><p>The viability of the ETV approach for the analysis of water analytes was demonstrated using a ground-based, laboratory scale analyzer (reference:&nbsp; Dwivedi, P. et al.&nbsp; &ldquo;Electro-Thermal Vaporization Direct Analysis in Real Time-Mass Spectrometry for Water Contaminant Analysis During Space Missions,&rdquo; Analytical Chemistry, 85, 9898-9906 (2013)).&nbsp; The work in this proposal will extend that effort and interface the ETV to a ground version of the current in-flight AQM.&nbsp; Liquid sample will be introduce via a pipet through the sample injection port and placed onto the nichrome ribbon heated to a set temperature by an external, programmable power supply.&nbsp; Upon vaporization of the water sample, the target analytes will be swept into the AQM Sample-In port using nitrogen carrier gas.&nbsp; A vapor-phase analysis can then be performed by the AQM to identify and quantify the target analytes in the water samples.&nbsp; Parameters to be optimized include water sample size, carrier gas sweep rate, and ribbon temperature.&nbsp; The operating parameters of the vapor-phase analysis performed by the AQM will also need to be modified for this type of sampling methodology.&nbsp; A simple two-position valve attached to the ETV and a diverter tube will allow for manual selection of either a water sample through the ETV or an air sample through the diverter tube.&nbsp; The primary objective of this effort is to evaluate the viability of the ETV with ground-based, flight hardware.&nbsp; A proof-of-concept unit capable of water and air analysis utilizing the ETV will be developed.&nbsp; The target water analytes to be used in this work will come from a list provided by the water SMEs in the Toxicology and Environmental Chemistry Laboratories at JSC.&nbsp; These analytes are commonly observed in the ground analysis of water samples from ISS.&nbsp; A preliminary engineering evaluation of this set-up could potentially be performed with the goal of formulating a viable plan of integrating the ETV to the control soft
Water Quality (WQ) monitoring program for Clear Lake, CA
Clear Lake is a large, shallow, hypereutrophic lake in Northern California, USA. Clear Lake is an important water resource for the surrounding community offering many cultural and recreational opportunities and provides drinking water for more than half of the region's population. Despite these many ecosystem services, Clear Lake suffers from Harmful Algal Blooms (HABs) of cyanobacteria. This project aims to understand the lake and watershed processes contributing to the negative impacts on the lake water quality and ecosystem health with a goal of rehabilitating the lake. The UC Davis Tahoe Environmental Research Center conducted a 5-year (2019-2023) water quality monitoring program collecting monitoring data to better understand the physical, chemical, and biological processes affecting lake quality. Data from this monitoring program are publicly available here (DOI of EDI data repository to be provided when available). This project is funded by the California Department of Fish and Wildlife through California State Assembly Bill 707 (2017), the California Natural Resources Agency, and the UC Davis Tahoe Environmental Research Center.In addition to this overarching project, we completed additional biological and optical measurements over a shorter 1.5-year time period (Jul 2021 - Oct 2022) with the goal of supporting Phytoplankton Community Composition (PCC) and Cyanobacteria genera differentiation algorithm development from remotely sensed hyperspectral measurements. Three of these sampling events were completed coincident to whole-lake hyperspectral images collected by the DESIS sensor. These additional data included High-Performance Liquid Chromatography (HPLC) phytoplankton pigment data and above-water spectroradiometry (SVC HR-1024i) measurements. This additional work was supported by a NASA Office of STEM Engagement (OSE) graduate student fellowship awarded to Samantha Sharp in 2020 (Grant Number 80NSSC20K1458).
Water quality measurements in the Chesapeake Bay
Water quality measurements taken in the Chesapeake Bay region of the United States as a joint effort between NASA GSFC and Johns Hopkins University.
Indicators of Coastal Water Quality: Ancillary Data
The Ancillary Data component of the Indicators of Coastal Water Quality Collection includes a 5 arc-minute (approximately 9 x 9 km at the equator) sequence grid, grid cell centroids that relate to the grid cells in the tabular "Indicators of Coastal Water Quality: Change in Chlorophyll-a Concentration 1998-2007" data set, and a country buffer data set that is divided by exclusive economic zones (EEZ). The data are produced by the Columbia University Center for International Earth Science Information Network (CIESIN).
Impacts of estuarine processes on delivery of Arctic riverine materials to the near coastal environment: Implications for water quality and biogeochemical cycling in preparation for Arctic-COLORS
This research project seeks to jumpstart Arctic-COLORS while filling major gaps in our knowledge about the transformation of riverine water quality constituents from the ABoVE domain through estuaries to the near coastal environment. The project conducted field sampling in the Yukon River, delta and plume waters for three transects in spring, early and late summer, and acquisition of additional transect samples during similar flow regimes through our collaborators on the north slope of Alaska and Mackenzie River. Field measurements included a number of water quality parameters relevant to Arctic biogeochemical function and NASA products, including dissolved organic matter (DOM), particulate organic matter (POM), suspended particulate matter (SPM), chlorophyll-a, radiometry, in situ inherent optical properties, discrete dissolved and particle absorption, fluorescent DOM (FDOM), lignin phenols, HPLC pigments, bioavailability of dissolved organic carbon (DOC). Combined, our field sampling, algorithm development, hindcasting, and synthesis efforts will provide a foundation for a successful Arctic-COLORS campaign while providing critical new knowledge of transformations in estuarine systems.
Indicators of Coastal Water Quality: Annual Chlorophyll-a Concentration 1998-2007
The Annual Chlorophyll-a Concentrations component of the Indicators of Coastal Water Quality Collection consists of gridded satellite measurements of chlorophyll-a concentrations (in nanogram/cubic meter) in a band extending between 10 and 100 km from the shoreline. Chlorophyll-a concentrations are derived from NASA's Sea-viewing Wide Field-of-view Sensor (SeaWiFS). The grids are based on annual composites of SeaWiFS satellite data provided by the SeaWiFS Project, NASA/Goddard Space Flight Center and GeoEye in the form of HDF files at a resolution of 5 arc-minutes (approximately 9 x 9 km at the equator). The source files are true-color images generated from sub-sampled, calibrated, Rayleigh-corrected level-2 data, which are derived from raw radiance counts by applying sensor calibration, atmospheric corrections, and bio-optical algorithms. To arrive at chlorophyll-a concentrations, radiance counts were converted using the conversion formula provided as part of the original data files. The gridding is done by the Columbia University Center for International Earth Science Information Network (CIESIN).
Supporting Shellfish Aquaculture in the Chesapeake Bay using Artificial Intelligence to Detect Poor Water Quality through Field Sampling and Remote Sensing
We are collecting and analyzing biological, chemical, and physical variables in and above the water at target sites and in the lab, looking for hyperspectral proxies that covarying with pollutants. This project is applying an AI model to address water quality, using datasets collected around the Bay in combination with remotely sensed data during targeted field work to support the need to more effectively sort through disparate data sets to identify areas of poor water quality that result in shellfish bed closure.
Supporting Shellfish Aquaculture in the Chesapeake Bay using Artificial Intelligence to Detect Poor Water Quality through Sampling and Remote Sensing
This use-inspired NASA AIST project collects biological, chemical, and physical variables in and above the water at Chesapeake Bay sites for analysis within the lab. These ground-truth data are then used for data labeling, in combination with remotely sensed data, within a machine learning model trained to identify water quality challenges of resource managers that could result in shellfish bed closures, for example.
Indicators of water quality in the Puruvesi Lake from 2008 to 2013 (OAL-FI)
<p>This dataset contains monthly water quality indicators ( <strong>Chlorophyll-a, Particulate inorganic carbon (PIC) and Particulate organic carbon (P)C)) </strong>derived from Remote Sensing MODIS observations from 2008 to 2013. </p> <p><strong>Chlorophyll-a</strong></p> <p>Chlorophyll-a is a measure of the amount of algae growing in a waterbody. It can be used to classify the trophic condition of a waterbody. Although algae are a natural part of freshwater ecosystems, too much algae can cause aesthetic problems such as green scums and bad odors, and can result in decreased levels of dissolved oxygen. Some algae also produce toxins that can be of public health concern when they are found in high concentrations.</p> <p><strong>Particulate inorganic carbon (PIC)</strong></p> <p>Particulate inorganic carbon or calcium carbonate, is a major component of the global ocean carbon cycle. Through the process of calcification, marine organisms produce PIC shells and carbon dioxide from calcium ions and bicarbonate in seawater. These organisms, upon death, eventually sink to the ocean floor. During this process, the calcium carbonate shells may partially dissolve and what remains accounts for about 75% of carbon deposition on the seafloor (Groom & Holligan, <a href="https://agupubs.onlinelibrary.wiley.com/doi/full/10.1002/2017JC013146"><strong>1987</strong></a>). Moreover, calcium carbonate production leads to an increase in partial pressure of dissolved carbon dioxide in the surface layer of the ocean, weakening the effectiveness of the carbon dioxide sink produced by photosynthesis (Shutler et al., <a href="https://agupubs.onlinelibrary.wiley.com/doi/full/10.1002/2017JC013146"><strong>2013</strong></a>).</p> <p><strong>Particulate onorganic carbon (POC)</strong> is one of the main pools of organic carbon found in the ocean. It is composed of living material (Phytoplankton, zooplanton, bacteria etc) and detritus. POC is important in terms of the global carbon cycle and it is the main pathway by which organic carbon formed via photosynthesis in the oceans surface layers is transferred to deeper ocean layers where it may be sequestered.</p> <p>In order to maintain the results in a easy to use platform, a GIS project is created using QGIS software (open source) to easily manage, edit, export and create layouts from the results. The layers are organized as follows:</p> <p><strong>OPERANDUM_QGIS_prj.qgz</strong><strong>:</strong> main QGIS project file that includes all layers</p> <p><strong>PuruvesiLake</strong><strong> (shapefile):</strong> Puruvesi lake exact boundary</p> <p><strong>PuruvesiLake_with_buffer (shapefile): </strong>Puruvesi lake boundary with a buffer of 1 km to make sure that marginal pixels are within the boundary for the analysis</p> <p><strong>P</strong><strong>I</strong><strong>CMa</strong><strong>p</strong><strong>_MODIS: </strong>60 monthly layers of estimated Particulate inorganic carbon from January 2008 until January 2013</p> <p><strong>Chlorophyll-a</strong><strong>:</strong> 60 monthly layers of estimated Chlorophyll-a content from January 2008 until January 2013</p> <p><strong>POCMap_MODIS</strong><strong>:</strong> 60 monthly layers of estimated Particulate organic carbon from January 2008 until January 2013</p>
Impact of Endovenous Water Vapor Treatment on Quality of Life in Superficial Venous Insufficiency of the Lower Limbs
ClinicalTrials.gov study NCT04534244. IPD Sharing: Not stated. Countries: 0. Publications: 0.
Water quality measurements near the Big Bend Seagrasses Aquatic Preserve, Florida
Water quality measurements taken near the Big Bend Seagrasses Aquatic Preserve in Florida.
Optical Water quality measurements made in the Florida Panhandle estuaries
Measurements made in the Florida Panhandle estuaries in partnership with USF and FWC-FWRI.
Land/Ocean Biogeochemical Observatory (LOBO) water quality monitoring system timeseries
Measurements made near Dartmouth, Nova Scotia in 2009.
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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.