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4,243 results for “SEASONALITY”
RNASeq study of migratory blackheaded buntings in two different seasonal states at different times of the day
GEO Series GSE165319. Emberiza melanocephala. 15 samples. Type: Expression profiling by high throughput sequencing.
Allergen-challenged CD4+ cells from patients with seasonal allergic rhinitis
GEO Series GSE18574. Homo sapiens. 6 samples. Type: Expression profiling by array.
Seasonal transcriptional landscape of medaka brain
GEO Series GSE124988. Oryzias latipes. 30 samples. Type: Expression profiling by array.
Seasonal gene expression in a migratory songbird
GEO Series GSE87549. Catharus ustulatus. 19 samples. Type: Expression profiling by high throughput sequencing.
Figure 8 from: Meléndez-Jaramillo E, Cantú-Ayala C, Sánchez-Reyes UJ, Sandoval-Becerra FM, Herrera-Fernández B (2019) Altitudinal and seasonal distribution of butterflies (Lepidoptera, Papilionoidea) in Cerro Bufa El Diente, Tamaulipas, Mexico. ZooKeys 900: 31-68. https://doi.org/10.3897/zookeys900.36978
Figure 8 Cluster analysis from seasons in the Cerro Bufa El Diente, Tamaulipas, Mexico.
Figure 4 from: Meléndez-Jaramillo E, Cantú-Ayala C, Sánchez-Reyes UJ, Sandoval-Becerra FM, Herrera-Fernández B (2019) Altitudinal and seasonal distribution of butterflies (Lepidoptera, Papilionoidea) in Cerro Bufa El Diente, Tamaulipas, Mexico. ZooKeys 900: 31-68. https://doi.org/10.3897/zookeys900.36978
Figure 4 Cluster analysis from sites in the Cerro Bufa El Diente, Tamaulipas, Mexico.
Atmospheric forcing dataset for Numerical study of the seasonal thermal and gas regimes of the large artificial lake in Western Europe using LAKE2.0
<p>Input dataset for the LAKE2.0 model (http://tesla.parallel.ru/Viktor/LAKE/wikis/LAKE-model) that was used for the experiments in the "Numerical study of the seasonal thermal and gas regimes of the large artificial lake in Western Europe using LAKE2.0" article. Archive contains the atmospheric forcing file itself, file with the header description, and the setup and driver files for the LAKE2.0 model.</p> <p>Source code of the current version of the LAKE2.0 model used in the work mentioned above, pre-compiled exec of the FLake model as well as its source code (freely available under the terms of the MIT license) are also provided as separate archive files.</p> <p> </p>
Figure 29 in Dasymutilla Ashmead (Hymenoptera, Mutillidae) in Panama: new species, sex associations and seasonal flight activity
Figure 29. Total Dasymutilla specimens captured by ten Malaise traps over six years (2001 to 2006).
Figures 2–16 in Dasymutilla Ashmead (Hymenoptera, Mutillidae) in Panama: new species, sex associations and seasonal flight activity
Figures 2–16. Dasymutilla species, habitus photographs.
Seasonal time series with random collective outliers
<p>Dataset containing collections of time series ECG 1[1], ECG 2[1] and Sunspot[2].</p> <p>Each collection comprises 10 time series, where each time series has exactly one collective outlier.</p> <p>[1] https://www.cs.ucr.edu/~eamonn/discords</p> <p>[2] Andrews, D.F., Herzberg, A.M.: Data: a collection of problems from many fieldsfor the student and research worker. Springer Science & Business Media (2012)</p>
Verification datasets for publication "Seasonal and diurnal performance of daily forecasts with WRF-NOAHMP over the United Arab Emirates" - UAE weather station data
<p>These are excel files containing measurement data for 2015 in the UAE, used for the submission to GMD journal, "Seasonal and diurnal performance of daily forecasts with WRF-NOAHMP over the United Arab Emirates". All data is courtesy of NCM, UAE.</p> <p>Also included is a station_ids.csv file. </p>
Carbon dioxide and methane exchange of a patterned subarctic fen during two contrasting growing seasons [Data set]
<p>The data set contains carbon dioxide (CO<sub>2</sub>) and methane (CH<sub>4</sub>) fluxes on ecosystem and plant community level, and ancilliary meteorological and environmental data, measured at Kaamanen fen in Northern Finland (N69°8.435', E27°16.189', 155 m a.s.l.), during 2017 - 2018. Additionally, the data set contains soil data from the fen, forest and lake ecosystems in the catchment, measured by Juha Mikola.</p> <p>C_fluxes_Heiskanen_et_al.csv includes ecosystem scale quality screened, u* filtered and gap-filled eddy covariance flux data and plant community scale flux data modelled from manual flux chamber measurements.</p> <p>environmental_data1_Heiskanen_et_al.csv and environmental_data2_Heiskanen_et_al.csv include ancillary meteorological and environmental data.</p> <p>LAI_data_2017_Heiskanen_et_al.csv and LAI_data_2018_Heiskanen_et_al.csv include leaf area index data.</p> <p>UEF_data_with_LCTs.xlsx includes soil data from peatlands, mineral soils and lake sediments, by Juha Mikola.</p>
Data for "GFDL SHiELD: A Unified System for Weather-to-Seasonal Prediction" by Harris et al.
<p>This archive contains data relevant to this article.</p>
MET tools statistics dataset used for publication "Seasonal and diurnal performance of daily forecasts with WRF-NOAHMP over the United Arab Emirates"
<p>This dataset is the output from MET Model Evaluation Tools comparing WRF output with ground observation stations in the UAE.</p>
Supplemental material for "The influence of temperature on the seasonality of historical plague outbreaks"
<p>This repository provides the code and raw data for the project. </p>
Data from: Persistent chaos of measles epidemics in the prevaccination United States caused by a small change in seasonal transmission patterns
Epidemics of infectious diseases often occur in predictable limit cycles. Theory suggests these cycles can be disrupted by high amplitude seasonal fluctuations in transmission rates, resulting in deterministic chaos. However, persistent deterministic chaos has never been observed, in part because sufficiently large oscillations in transmission rates are uncommon. Where they do occur, the resulting deep epidemic troughs break the chain of transmission, leading to epidemic extinction, even in large cities. Here we demonstrate a new path to locally persistent chaotic epidemics via subtle shifts in seasonal patterns of transmission, rather than through high-amplitude fluctuations in transmission rates. We base our analysis on a comparison of measles incidence in 80 major cities in the prevaccination era United States and United Kingdom. Unlike the regular limit cycles seen in the UK, measles cycles in US cities consistently exhibit spontaneous shifts in epidemic periodicity resulting in chaotic patterns. We show that these patterns were driven by small systematic differences between countries in the duration of the summer period of low transmission. This example demonstrates empirically that small perturbations in disease transmission patterns can fundamentally alter the regularity and spatiotemporal coherence of epidemics.
Data from: Studying phenology by flexible modeling of seasonal detectability peaks
1.Many animals and plant species have advanced spring phenology in response to climate warming. The majority of avian phenological studies are based on arrival dates. Consequently knowledge on bird phenology is mainly based on migratory species. In addition, arrival dates of migratory birds may be substantially affected by en-route climate conditions; thus failing to provide good indicators for spring phenology on the breeding grounds. Correlating arrival dates with other phenological data or with environmental covariates may be meaningless in these cases. 2.We propose the date of highest singing activity, quantified by detection probability, as a powerful proxy for breeding phenology that is applicable to migratory and sedentary bird species alike. In contrast to arrival dates, breeding phenology is mainly (non-migrants) or at least partially (migrants) influenced by conditions experienced within the breeding area. 3.We developed a new method for flexible estimation of peak detectability date in spring by combining multi-season site-occupancy with semi-parametric regression modeling (thin-plate splines). We applied our approach to opportunistic observations of 27 bird species (mostly passerines) in Switzerland. 4.We found substantial differences among species in the date of spring peak detectability: late February to mid-April in sedentary and short-distance migratory species and mid-April to late May in long-distance migrants. Among 10 species with data for >9 years, five showed a trend in detectability peaks towards an earlier spring phenology by nine to 17 days within 10 years. The mean shift over all species was ~3.5 days per 10 years. 5.Our approach is widely applicable, especially for temporally and spatially large-scale data from monitoring or citizen-science programs. Besides using the detectability peak as measure of phenology, the estimated seasonal pattern in detectability can help designing monitoring programs for improved efficiency. Our approach may be applied to any species with pronounced acoustic displays or other behavioral traits strongly influencing detectability during the breeding period. We believe that it can contribute substantially to unraveling how species and communities respond to environmental change.
Data from: Seasonal patterns in species diversity across biomes
A conspicuous Season-Diversity Relationship (SDR) can be seen in seasonal environments, often with a defined peak in active species diversity in the growing season. We ask is this a general pattern and are other patterns are possible? In addition, we ask what is the ultimate cause of this pattern and can we understand it using existing ecological theory? To accomplish this task, we assembled a global database on changes in species diversity through time in seasonal environments for different taxa and habitats and also conducted a modeling study in an attempt to replicate observed patterns. Our global database includes terrestrial and aquatic habitats, temperate, tropical, and polar environments, and taxa from disparate groups including vertebrates, insects, and plankton. We constructed nine alternative models that vary in assumptions on type of seasonal forcing, responses to that forcing, species niches, and types of species interactions. We found that most guilds of species exhibit a repeatable Season-Diversity Relationship (SDR) across years. For north temperate ecosystems, active species diversity generally peaks mid-year. The peak for a guild is generally more pronounced in terrestrial habitats than aquatic habitats and more pronounced in temperate and polar regions than the tropics. We now have evidence that at least several different habitat and taxa types are likely to have multiple peaks in diversity in a year, for example guilds of both aquatic microbes and desert vertebrates can show a bimodal or multimodal SDR. We compared all nine candidate models in their ability to explain the patterns and match their assumptions to the data. Some performed considerably better than others in being able to match the different patterns. We conclude that a model that includes both temperature niches and environmental feedbacks is necessary to explain the different season-diversity relationships. We use such a model to make predictions on how the SDR could be impacted by climate change. More effort should be put into documenting and understanding baseline seasonal patterns in diversity in order to predict future responses to global change.
Intra-annual dynamics of temperate glacier in the ablation season in the southeastern Tibetan Plateau
<p>Here, the data used in paper “Intra-annual dynamics of temperate glacier in the ablation season in the southeastern Tibetan Plateau” were given.</p> <p>In this database, "GlacierHeightChange_2023_0611" is the Yanong Glacier height changes that generated from six Digital Surface Models, "GlacierVelocity_2023_0644" is the Yanong Glacier surface veloicties that generated from six Digital Orthophoto Maps. The six DSMs and DOMs were derived from six UAV surveys from June to November in 2023.</p>
Vertical distribution and seasonal dynamics of planktonic cyanobacteria communities in a water column of deep mesotrophic Lake Geneva
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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.