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36 results for “quality characteristic”
Long-term trends and synchrony in dissolved organic matter characteristics in Wisconsin, USA lakes: quality, not quantity, is highly sensitive to climate
Dissolved organic matter (DOM) is a fundamental driver of many lake processes. In the past several decades, many lakes have exhibited a substantial increase in DOM quantity, measured as dissolved organic carbon (DOC) concentration. While increasing DOC is now widely recognized, fewer studies have sought to understand how characteristics of DOM (DOM quality) change over time. Quality can be measured in several ways, including the optical characteristics spectral slope (S275-295), spectral ratio (SR), absorbance at 254 nm (a254), and DOC-specific absorbance (SUVA; a254:DOC). However, long-term measurements of quality are not nearly as common as long-term measurements of DOC concentration. We used 24 years of DOC and absorbance data for seven lakes in the North Temperate Lakes Long Term Ecological Research site in northern Wisconsin, USA to examine temporal trends and synchrony in both DOC concentration and quality. We predicted lower SR and S275-295 and higher a254 and SUVA trends, consistent with increasing DOC and greater allochthony. DOC concentration exhibited both significant positive and negative trends among lakes. In contrast, DOC quality exhibited trends suggesting reduced allochthony or increased degradation, with significant long-term increases in SR in three lakes. Patterns and synchrony of DOM quality parameters suggest they are more responsive to climatic variations than DOC concentration. SUVA in particular tended to increase with greater moisture and decrease with drier conditions. These results demonstrate that DOC quantity and quality can exhibit different complex long-term trends and responses to climate components, with important implications for aquatic ecosystems.
Minneapolis-St. Paul Metro Area Lakes Surface Water Quality Characteristics
Urban lakes are heavily impacted by human activities and climate variability, and they provide many ecosystem services to residents. The MSP LTER program is studying long term changes in urban lake water quality, ecology and management as part of our long term studies of urban environments. The goal of this dataset is to understand how land-use change, management, and climate have impacted urban lake biogeochemistry over time. This dataset includes parameters characterizing the long term (> 5 years) surface water quality and chemistry of 294 lakes and ponds in the Minneapolis-Saint Paul Seven County Metropolitan Area, Minnesota, USA. The dataset draws from data publicly available through the Minnesota Pollution Control Agency and data provided by individual agencies, park districts and cities. The dataset is distinct from other lake datasets because it is curated to only report a single value per lake x date x parameter, minimizing the amount of data manipulation needed before use in statistical analyses. All data come from the top two meters of the water column. In the case of multiple spatial measurements on a single lake or multiple agencies sampling the same lake on the same day, chemistry data were averaged to generate a single value. For Secchi data, the deepest reported observation on a given lake x date was used. Parameters: total phosphorus, total nitrogen, total Kjeldahl nitrogen, nitrate, nitrite, nitrate + nitrite (NOx), ammonium, chlorophyll a (corrected and not corrected for pheophytin), specific conductivity, chloride, and Secchi depth. These waterbodies are identified by their DNR Division of Water (DOW) number with minor alterations for subbasin identification. This dataset does not comprehensively represent all lentic waterbodies that have substantial water quality data in the metro area, and some included waterbodies may be considered wetlands according to state classifications. The data brought together in this database has undergone QAQC by the
DApps Quality Characteristics Dataset
<p>This dataset contains metrics and statistical information on decentralised applications (DApps) and associated smart contracts on blockchains.</p> <p>The dataset was produced by the 'DApps-Scraping' scripts which are on Github.</p> <p>The dataset is currently small. As experiments are ongoing, it will be updated soon.</p> <p>The work was supported by a young scientist mobility grant of the Swiss Leading House MENA.</p>
Data from: Home is where the high-quality resources are: nursery characteristics and territory distribution suggest reproductive resource defense in golden rocket frogs
<p><span>For externally fertilizing animals, the early stages of development are often the most precarious. In the face of multiple abiotic and biotic stressors, parents must assess and select rearing sites that maximize the probability of offspring survival. This is particularly true for Neotropical poison frogs, many of which transport tadpoles to small pools of water called phytotelmata that serve as larval-rearing sites. In these systems, pool choice can have a large effect on offspring growth and survival. Here, we studied the golden rocket frog (</span><em>Anomaloglossus</em> <em>beebei</em>, Aromobatidae), a territorial phytotelm-breeding frog that lives exclusively in giant tank bromeliads (<em>Brocchinia</em> <em>micrantha</em>), to examine phytotelm selection and reproductive resource defense. We first quantified the characteristics of phytotelmata and found that tadpoles were more likely to occur in pools with low levels of mucilage and in leaves at intermediate heights on the plant. We additionally found that low mucilage pools have significantly clearer water, have higher concentrations of dissolved oxygen, and are exposed to lower levels of photosynthetically active radiation. We then mapped the spatial distribution of pools with low levels of mucilage in relation to male territories and found that these "clear" pools are (1) more likely to be within male territories than outside of them, and (2) territory centroids are closer to clear pools than are random locations. Overall, our results show that male golden rocket frogs defend territories that include preferred tadpole deposition sites, suggesting a direct relationship between high-quality reproductive resources and territory defense.</p>
Data from: Home is where the high-quality resources are: nursery characteristics and territory distribution suggest reproductive resource defense in golden rocket frogs
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Contrasting Activation Characteristics of Biomass Burning and Fossil Fuel Combustion Aerosols in Fogs and Clouds: Implications for Regional Air Quality and Climate
<p>The key 'jul' in data use 2021-01-01 as the referece day, for example, 2021-01-02 12:00:00 corresponding to jul of 2.5. </p>
Autorepairability: A New Software Quality Characteristic
<p>A dataset for the SANER 2024 ERA track submission titled "Autorepairability: A New Software Quality Characteristic."</p>
Evaluating the fillet quality and sensory characteristics of Atlantic salmon (Salmo salar) fed black soldier fly larvae meal for whole production cycle in sea cages
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Data from: Seed quality and seed quantity in red maple depends on weather and individual tree characteristics
<p>Under future climate change, plant species are expected to shift their ranges in response to increasing temperatures and altered precipitation patterns. As seeds represent the single opportunity for plants to move, it is critical to quantify the factors that influence reproduction. While total seed production is clearly important, seed quality is equally as critical and often overlooked. Thus, to quantify how environmental and tree-level characteristics affect seed quality and quantity, the reproductive output of red maple (<i>Acer rubrum</i>) was measured along an elevation gradient in the Monongahela National Forest, WV. A variety of individual-level characteristics were measured (i.e., DBH, canopy area, tree cores), and seed traps were placed under seed-bearing trees to collect samaras and quantify total seed production. A random subsample of collected seeds from each tree were micro-CT scanned to determine embryo volume, photographed for morphology measurements, and used for germination trials. The number of seeds produced was negatively affected by frost events during flowering, and stand density. The trees with the most seeds also showed reduced growth in recent years. Only 63% of scanned seeds showed embryo development, and of those seeds – only 23% germinated. The likelihood of embryo presence increased as growth rate decreased, while embryo size increased with tree height, smaller DBH, and in areas dominated by hemlock. Both larger embryo volume and larger overall seed size increased the likelihood of germination. The results highlight the importance of including seed quality in addition to seed quantity for a more complete representation of reproductive output.</p>
The rehydration attributes and quality characteristics of 'Quick-cooking' dehydrated beans: Implications of glass transition on storage stability
<p>The data set was used to generate the figures.</p>
Experiment Data - 952 Assessments of 8 Vision Videos Regarding Overall Video Quality and 15 Individual Quality Characteristics
<p>In 2018, we conducted a within-subjects experiment to investigate how individual quality characteristics of vision videos relate to the overall quality of vision videos from a developer's point of view. 139 undergraduate students who had the role of a developer and actively developed software in projects with real customers at the time of the experiment participated in the experiment. The subjects can be considered as developers due to their experience at the time of the experiment. The subjects were put in the situation that they join an ongoing project in their familiar role as a developer. In this context, we showed the 8 vision videos (one after the other) always with the intent to share the vision of the particular project with the subjects. The undergraduate students subjectively assessed the overall quality and 15 individual quality characteristics of the 8 vision videos by completing an assessment form for each video. After data cleaning, the final data set contains 952 complete assessments of 119 subjects for the 8 vision videos.</p> <p>Each entry of the data set consists of:</p> <ul> <li>Entry ID: The ID of the entry in the dataset.</li> <li>Subject ID: The ID of the subject.</li> <li>Video ID: The ID of the vision video assessed.</li> <li>Overall quality: The subject's assessment of the overall quality of the vision video.</li> <li>Image quality: The subject's assessment of the visual quality of the image of the vision video.</li> <li>Sound quality: The subject's assessment of the auditory quality of the sound of the vision video.</li> <li>Video length [s]: The duration of the vision video in seconds.</li> <li>Focus: The subject's assessment of the compact representation of the vision which is presented in the vision video.</li> <li>Plot: The subject's assessment of the structured presentation of the content of the vision video.</li> <li>Prior knowledge: The subject's assessment of the presupposed prior knowledge to understand the content of the vision video.</li> <li>Clarity: The subject's assessment of the intelligibility of the aspired goals of the vision which is presented in the vision video.</li> <li>Essence: The subject's assessment of the amount of important core elements, e.g., persons, locations, and entities, which are to be presented in the vision video.</li> <li>Clutter: The subject's assessment of the amount of disrupting and distracting elements, e.g., background actions or noises, that can be inadvertently recorded in the vision video.</li> <li>Completeness: The subject's assessment of the coverage of the three contents of a vision which is presented in the vision video, i.e., the considered problem, the proposed solution, and the improvement of the problem due to the solution.</li> <li>Pleasure: The subject's assessment of the enjoyment of watching the vision video.</li> <li>Intention: The subject's assessment of how well the vision video is suitable for the intended purpose of the given scenario.</li> <li>Sense of responsibility: The subject's assessment of the compliance of the vision video with legal regulations.</li> <li>Support: The subject's assessment of his or her level of acceptance of the vision which is presented in the vision video.</li> <li>Stability: The subject's assessment of the consistency of the vision which is presented in the vision video.</li> </ul> <p>This dataset includes the following files:</p> <ul> <li>"Dataset_Assessments.xlsx" contains the anonymized 952 assessments of the 119 subjects for the 8 vision videos</li> <li>"Assessment_form.docx" contains the assessment form which was used to assess each of the 8 vision videos</li> <li>"Assessment_form.pdf" contains the assessment form which was used to assess each of the 8 vision videos</li> </ul> <p>The 8 vision videos are not included in this dataset since we do not have the explicit consent of the actors to distribute the vision videos.</p> <p>This experiment was designed, conducted, and analyzed by Oliver Karras (<a href="https://twitter.com/KarrasOliver">@KarrasOliver</a>), Kurt Schneider, and Samuel A. Fricker (<a href="https://twitter.com/samuelfricker">@samuelfricker</a>).</p>
FIGURE 7 in Water Quality and Wet Season Diatom Assemblage Characteristics from the Tamiami Trail Pilot Swales Sites (Everglades National Park, Florida, USA)
FIGURE 7: Non-metric Multidimensional Scaling ordination plot for diatom assemblage similarity among transect sites. Bray-Curtis similarity is the distance metric. Two dimensional stress = 0.15.
FIGURE 2 in Water Quality and Wet Season Diatom Assemblage Characteristics from the Tamiami Trail Pilot Swales Sites (Everglades National Park, Florida, USA)
FIGURE 2: Stylized layout of a typical culvert site showing Tamiami Trail, the culvert and associated scourpool, the vegetation halo, transitional area, and locations of transect sampling sites and ISCO autosampler.
FIGURE 4 in Water Quality and Wet Season Diatom Assemblage Characteristics from the Tamiami Trail Pilot Swales Sites (Everglades National Park, Florida, USA)
FIGURE 4: Example of water column nutrient concentration from transect station water grab samples at culvert C47. 4a: Total nitrogen concentrations. 4b: Total phosphorus concentrations. Site names are represented by transect and location initials. For example NC is North transect, Central location.
FIGURE 6 in Water Quality and Wet Season Diatom Assemblage Characteristics from the Tamiami Trail Pilot Swales Sites (Everglades National Park, Florida, USA)
FIGURE 6: 6a: Mean taxonomic richness (r) by transect. Error bars denote 95% confidence interval. 6b: Mean Shannon Index (H') by transect. Error bars denote 95% confidence interval. Letters denote pairwise differences indicated by ANOVA.
FIGURE 1 in Water Quality and Wet Season Diatom Assemblage Characteristics from the Tamiami Trail Pilot Swales Sites (Everglades National Park, Florida, USA)
FIGURE 1: Map of South Florida highlighting the Florida Everglades and the northern boundary of Everglades National Park, showing the location of the Tamiami pilot spreader swales culvert sites.
FIGURE 3 in Water Quality and Wet Season Diatom Assemblage Characteristics from the Tamiami Trail Pilot Swales Sites (Everglades National Park, Florida, USA)
FIGURE 3: Trends in water column nutrient concentration and Tamiami canal stage during the study period from October 2009 through April 2010. 3a: Trends in total nitrogen concentration (µmol · L-1) at ISCO autosampler sites. 3b: Trends in total phosphorus concentration (µmol · L-1) at ISCO autosampler sites. 3c: Trends in Tamiami canal stage between S333 and S334 water control structures (South Florida Water Management District Data).
Effect of Intervention for Colonoscopy Quality is Associated With the Personal Characteristics
ClinicalTrials.gov study NCT03796169. IPD Sharing: NO. Countries: 1. Publications: 4.
Surviving ARDS: The Influence of Quality of Care and Individual Patient Characteristics on Quality of Life
ClinicalTrials.gov study NCT02637011. IPD Sharing: NO. Countries: 1. Publications: 6.
Data from: Seed quality and seed quantity in red maple depends on weather and individual tree characteristics
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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)
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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.