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11,177 results for “identify”
Data from: Multivariate classification of multichannel long-term electrophysiology data identifies different sleep stages in fruit flies, Part 8 of 16
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Single-cell profiling identifies ACE+ granuloma macrophages as a non-permissive niche for intracellular bacteria during persistent Salmonella infection
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Identifying wastewater chemicals in coastal aerosols
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Data from: Non-additive association analysis using proxy phenotypes identifies novel cattle sydromes
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Identifying the proximal cue(s) for pupal color variation in the bordered patch butterfly, Chlosyne lacinia (Geyer 1837; Lepidoptera: Nymphalidae)
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Data from: Multivariate classification of multichannel long-term electrophysiology data identifies different sleep stages in fruit flies, Part 13 of 16
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Identifying climatic drivers of hybridization with a new ancestral niche reconstruction method
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Data from: Comparing regression-based approaches for identifying microbial functional groups
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Newly identified nematodes from the Great Salt Lake are associated with microbialites and specially adapted to hypersaline conditions
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Data from: Multivariate classification of multichannel long-term electrophysiology data identifies different sleep stages in fruit flies, Part 15 of 16
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Data from: Identifying seed families with high mixture performance in a subtropical forest biodiversity experiment
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Data from: Smallmouth bass (Micropterus dolomieu) and chain pickerel (Esox niger) identified as Atlantic salmon (Salmo salar) smolt predators in a reservoir system
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A self-purifying microfluidic system for identifying drugs acting against adult schistosomes
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Data from: Tissue-specific O-GlcNAcylation profiling identifies substrates in translational machinery in the Drosophila mushroom body contributing to olfactory learning
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Machine learning analysis of wing venation patterns accurately identifies Sarcophagidae, Calliphoridae and Muscidae fly species
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Data from: Multivariate classification of multichannel long-term electrophysiology data identifies different sleep stages in fruit flies, Part 2 of 16
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Environmental and behavioral sensor data to identify heat stress in dairy cows
Heat stress impairs the health and performance of dairy cows, yet only a few studies have investigated the diversity of cattle behavioral responses to heat waves. This research was conducted on an Italian Holstein dairy farm equipped with precision livestock farming sensors to assess potential different behavioral patterns of the animals. Three heat waves, defined as at least five consecutive days with mean daily temperature-humidity index higher than 72, were recorded in the farm area during the summer of 2021. Individual daily milk yield data of 102 cows were used to identify ‘heat-sensitive’ animals, meaning the cows that, under a given heat wave, experienced a milk yield drop that was not linked with other health events (e.g., mastitis). Milk yield drops were detected as perturbations of the lactation curve estimated by iteratively using Wood’s equation. Individual daily minutes of lying, chewing, and activity were retrieved from ear-tag-based accelerometer sensors. Semi-parametric generalized estimating equations models were used to assess behavioral deviations of heat-sensitive cows from the herd means under heat stress conditions. Heat waves were associated with an overall increase in the herd’s chewing and activity times, along with an overall decrease of lying time. Heat-sensitive cows spent approximately 15 min/d more chewing and performing activities (p < 0.05). The findings of this research suggest that the information provided by high-frequency sensor data could assist farmers in identifying cows for which personalized interventions to alleviate heat stress are needed.
Identifying drivers of Florida Scrub-Jay reproductive success in the absence of helpers, 1989-2021
Florida Scrub-Jays (FSJ) are federally Threatened, cooperatively breeding birds, where about half of breeding pairs typically have helpers. Factors affecting reproductive success of this species in the absence of helpers has received little attention. This dataset contains reproductive and environmental data relevant to a subset of known age breeding pairs that did not have helpers at Archbold Biological Station (ABS) from 1989 to 2021. Generalized linear mixed models were used to explain variation in reproductive output (offspring survived to 75 days) in relation to: male and female breeding experience and environmental variables (acorn abundance, fire history, and territory size), with year and territory ID included as random effects. Reproductive output was associated with female breeding experience and all three environmental variables. The findings highlight the importance of fire-maintained oak scrub in FSJ reproductive success, which is consistent with management recommendations for this species.
The observed data used in paper titled "A hydrographic method to identify groundwater net recharge, barometric effect, and evapotranspiration from a complicated semidiurnal water table fluctuation"
<p>The water level and atmospheric pressure within the monitoring well located the semi-arid loess hilly-gully region on the piedmont of western Shaanxi Province, China (34°18′36″ N, 107°07′55″ E), were automatically monitored at 20-min intervals by the Levelogger and Barologger, respectively. These data were used as a case example to state a method of estimating groundwater net recharge rate, barometric efficiency and hourly-scaled groundwater evapotranspiration rate.</p>
Studies of NH4+ and NO3- uptake ability of subalpine plants and resource-use strategy identified by their functional traits
<p>Data for the preprint "Studies of NH4+ and NO3- uptake ability of subalpine plants and resource-use strategy identified by their functional traits.”, by Legay N. , Grassein F., Arnoldi C., Segura R., Laîné P., Lavorel S., Clément J.C.</p>
ScienceDex guides
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
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.