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4,243 results for “SEASONALITY”
Seasonal changes in coral thermal threshold suggest species-specific strategies for coping with temperature variations
<p>Data and R code for the paper:</p> <p>“Seasonal changes in coral thermal threshold suggest species-specific strategies for coping with temperature variations” </p> <p>Composed of three data sets:</p> <p>-Dataset1.csv</p> <p>-Dataset2.csv</p> <p>-GenoCoeffs.csv</p> <p> </p> <p>Thermal response of Acropora spp. and Pocillopora verrucosa using photosynthetic efficiency (Fv/Fm) values measured in situ</p> <p>————————————————————————————————————————————————</p> <p>CSV contains data measured in situ in Al Fahal reef used to create Figure 1. It includes 7 columns</p> <p>- ID_Experimen: Id assigned to each field experiment included in the study. </p> <p>-Species: ID of the two species included in the study Acropora spp. and P. verrucosa</p> <p>- Replicate: Biological replicates associated with each experiment and sampling time.</p> <p>- Fv.Fm: Photosynthetic efficiency measured in situ using diving PAM.</p> <p>-SamplingTime: ID of the sampling time associated to each experiment.</p> <p>-Date: Date of the field experiment</p> <p>-EnvT: In situ seawater temperature (daily average) the date of the field experiment.</p> <p> </p> <p>Performance data collected during the CBASS experiment for Acropora spp. and Pocillopora verrucosa </p> <p>————————————————————————————————————————————————</p> <p>CSV contains data measured during the CBASS experiment in tanks used to create Figures 2 and 3 and Table 1.</p> <p>-ID_Experiment: ID assigned to each field experiment included in the study. </p> <p>-Species: ID of the two species included in the study Acropora spp. and P. verrucosa</p> <p>-Sample Name: ID of each coral fragment placed in the tank</p> <p>-Site: ID of the colonies treatment if any. All coral colonies were non-treated</p> <p>-Tank: Tank ID</p> <p>-Temp: Assay temperature of each tank</p> <p>-Geno: Biological replicate</p> <p>-PAM: Fv/Fm values measured after the experiment in the tanks using a diving PAM</p> <p>-SamplingTime: ID of the sampling time associated with each experiment.</p> <p>-Date: Date of the experiment</p> <p>-EnvT: In situ seawater temperature (daily average) the date of the field experiment.</p> <p> </p> <p>Dataset combining thermal thresholds and environmental data to fit lmer models.</p> <p>———————————————————————————————————————————————</p> <p>CSV contains data to fit LMER models using experimentally derived ED50 thermal thresholds and in situ data.</p> <p>-ED50: Thermal thresholds estimated by fitting DRC</p> <p>-Site: ID of the experiment and sampling time</p> <p>-Replicate: Biological replicates</p> <p>-EnvT: In situ seawater temperature (daily average) the date of the field experiment.</p> <p>-FvFm_Field: Photosynthetic efficiency measured in situ using diving PAM.</p> <p>-Species: ID of the two species included in the study Acropora spp. and P. verrucosa</p>
Data from: Evaluation of the implementation fidelity of the seasonal malaria chemoprevention intervention in Kaya health district, Burkina Faso
Background: Burkina Faso implemented the seasonal malaria chemoprevention (SMC) in 2014 in seven pilot health districts, following the new recommendation by the WHO in 2012 for the prevention of the disease in children under five years old, for areas of highly seasonal malaria transmission. The objective of this study was to assess the implementation fidelity of the seasonal malaria chemoprevention strategy in one of the districts, Kaya Health District. Methodology: We conducted a case study, with a quantitative and qualitative mixed methods. Data were collected after two campaigns of implementation of the intervention, in 2014 and 2015, through a review of specific documents of SMC intervention, and individual interview with key informants (n = 21) involved at various levels in the implementation of the strategy and a household survey with the parents (n = 284) of eligible children for the SMC strategy in 2015 in the Kaya health district. The analysis framework focused on the fidelity of the intervention's content, its coverage, and its schedule, as well as the potential moderating factors, using the model proposed by Hasson, originally from Carroll. Results: All components of the intervention were implemented. Villages and sectors were covered at 100%. In terms of intervention doses received, less than one-third of eligible children (32.3%) received the recommended four doses in 2015. Implementation of the strategy faced some difficulties due to insufficient training of community distributors, inadequate supply of inputs and insufficient financial resources for remuneration, advocacy and supervision, but also because of the contextual constraints due to the rainy season. Moreover, an interaction between the different moderating factors, influencing the degree of implementation of the strategy was noted. Conclusion: Taking into account the moderating factors of the implementation is necessary for achieving the highest possible degree of implementation fidelity and then, reach the expected beneficial effects.
Data from: Temporal analysis of the honey bee microbiome reveals four novel viruses and seasonal prevalence of known viruses, Nosema, and Crithidia.
Honey bees (Apis mellifera) play a critical role in global food production as pollinators of numerous crops. Recently, honey bee populations in the United States, Canada, and Europe have suffered an unexplained increase in annual losses due to a phenomenon known as Colony Collapse Disorder (CCD). Epidemiological analysis of CCD is confounded by a relative dearth of bee pathogen field studies. To identify what constitutes an abnormal pathophysiological condition in a honey bee colony, it is critical to have characterized the spectrum of exogenous infectious agents in healthy hives over time. We conducted a prospective study of a large scale migratory bee keeping operation using high-frequency sampling paired with comprehensive molecular detection methods, including a custom microarray, qPCR, and ultra deep sequencing. We established seasonal incidence and abundance of known viruses, Nosema sp., Crithidia mellificae, and bacteria. Ultra deep sequence analysis further identified four novel RNA viruses, two of which were the most abundant observed components of the honey bee microbiome (∼10(11) viruses per honey bee). Our results demonstrate episodic viral incidence and distinct pathogen patterns between summer and winter time-points. Peak infection of common honey bee viruses and Nosema occurred in the summer, whereas levels of the trypanosomatid Crithidia mellificae and Lake Sinai virus 2, a novel virus, peaked in January.
Figure 5 in Non-seasonal reproduction in inseminating species of Mimagoniates (Characidae, Characiformes) from southern Brazil
Figure 5. Monthly values of the gonadosomatic index (GSI) for males (A) and females (B) of Mimagoniates rheocharis from site 1 in Maquiné, RS, Brazil, between January 1998 and February 1999. Open circles = average value.
Storylines of the 2022 UK drought using seasonal hindcasts at Anglian catchments and boreholes
<p>In this study, we investigate the drivers of winter rainfall for the region of eastern England supplied by Anglian Water using a large sample of plausible winters in hindcasts from the ECMWF seasonal forecasting system SEAS5. The SEAS5 hindcast dataset (1982-2021) is used to provide a large sample of plausible winters (Dec, Jan, Feb - DJF). A series of meteorological indices (such as NAO, EA, Nino3.4, polar vortex strength and the SST tripole index) describing atmospheric circulation patterns are calculated from both observed winters (ERA5 reanalysis - 1960-2015) and for each winter in the hindcast dataset. K-means clustering of all the calculated indices are used to create clusters with similar characteristics.</p> <p>Storylines were created to represent plausible pathways of the 2022 drought assuming winter 2022/23 resembled each of the four winter clusters. Storylines was simulated by running GR6J and Aquimod using the top parameter set for the baseline period up until November 2022 after which hindcast rainfall and PET data for each winter (DJF) in the four winter clusters were appended in place of winter 2022/23. This dataset contains simulated river flows and groundwater level for each storyline and for each of the selected river catchments or borehole in the Anglian Water region. Each file is named with the NRFA station id / groundwater borehole name and the cluster number (i.e. C1, C2, C3 or C4).</p> <p>In the LTA100 experiment, spring (MAM), summer (JJA) and autumn (SON) 2023 were assumed to have 100% long term average (LTA) rainfall by selecting the closest years matching 100% LTA rainfall in the observations. In the LTA60 experiment, it is assumed that summer (JJA) 2023 follow 60% LTA seasonal rainfall.</p>
Season sarcophagus with portrait
Season sarcophagus with portrait, 250-270 CE, marble, roman, Ny Carlsberg Glyptotek (Copenhagen, Denmark). Made with Memento Beta (now ReMake) from AutoDesk. For more update, please follow @GeoffreyMarchal on Twitter. Source: Objaverse 1.0 / Sketchfab
Examination of Pain, Posture, Physical and Mental Status in Seasonal Hazelnut Workers
ClinicalTrials.gov study NCT06289465. IPD Sharing: UNDECIDED. Countries: 1. Publications: 0.
Effect of a Probiotic on Seasonal Allergic Rhinitis Symptoms
ClinicalTrials.gov study NCT01653652. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Study of Influenza Virus Infection in Children Hospitalized in Spain in Two Consecutive Influenza Seasons
ClinicalTrials.gov study NCT04008823. IPD Sharing: NO. Countries: 1. Publications: 0.
Safety Study To Assess Growth In Children With Seasonal Allergic And/Or Perennial Allergic Rhinitis Treated With GW685698X Aqueous Nasal Spray Or Placebo Nasal Spray
ClinicalTrials.gov study NCT00109486. IPD Sharing: YES. Countries: 1. Publications: 0.
Effect of Different Pre-seasonal BM32 Dosings on the Induction of a Protective Immune Response
ClinicalTrials.gov study NCT02643641. IPD Sharing: YES. Countries: 1. Publications: 0.
Annual Study to Investigate Inactivated Virosomal Influenza Vaccine for the 2006/2007 Influenza Season in Europe.
ClinicalTrials.gov study NCT00345462. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Safety and Reactogenicity of a PAL Combined With Seasonal Flu Vaccine in Healthy Adults
ClinicalTrials.gov study NCT02188810. IPD Sharing: Not stated. Countries: 1. Publications: 0.
A Retrospective Review of the Seasonality of Pre-Eclampsia
ClinicalTrials.gov study NCT00826696. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Evaluate the Immunogenicity and Safety of the 2011-2012 Vaccine Against Seasonal Influenza on Pregnant Women
ClinicalTrials.gov study NCT01577316. IPD Sharing: Not stated. Countries: 1. Publications: 0.
MK0524 Seasonal Allergic Rhinitis Study (0524-005)(COMPLETED)
ClinicalTrials.gov study NCT00533208. IPD Sharing: Not stated. Countries: 0. Publications: 1.
Efficacy and Safety of LP-003 in Moderate-to-severe Seasonal Allergic Rhinitis Adult
ClinicalTrials.gov study NCT06046391. IPD Sharing: NO. Countries: 1. Publications: 0.
Circadian, Weekly and Seasonal Variability of Postoperative Mortality and Morbidity (Zirkadianest)
ClinicalTrials.gov study NCT01903382. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Study Using the Environmental Exposure Unit (EEU) to Assess the Onset of Action of Ciclesonide, Applied as a Nasal Spray in the Treatment of Seasonal Allergic Rhinitis (BY9010/M1-407)
ClinicalTrials.gov study NCT00659503. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Clinical Trial of TQH2722 Injection in Patients With Seasonal Allergic Rhinitis
ClinicalTrials.gov study NCT06760182. IPD Sharing: Not stated. Countries: 1. Publications: 0.
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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.