Find research datasets worth reusing
Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
4,243
datasets available to search
ShareScore release 0.7.1
Dataset results
4,243 results for “seasonality”
The Observed Disdrometer Heavy Rainfall Period Datasets in East China during the Meiyu Season
<p>The attached file includes all the 1757 Parsivel disdrometer heavy rainfall periods (HRPs) in East China during the 2019-2022 Meiyu season. The files are the XXX.mat format and can be directly opened with MATLAB.</p>
Data from: Nonbreeding season survival of northern bobwhite in northeastern Colorado
<p>Northern bobwhites have experienced population declines in Colorado and range-wide. Estimating vital rates can provide clues to factors limiting population growth rate. Although recent estimates of breeding season survival in the northwest corner of the northern bobwhite range are available, there have been no recent studies on nonbreeding season survival. We used radio-telemetry to estimate nonbreeding season (Oct–Mar) survival of northern bobwhites at two study sites in northeastern Colorado during winter 2019–2020 and 2020–2021. Based on our sample of 157 bobwhites, we found that survival was highly variable between years and was negatively affected by colder daily minimum temperatures and deeper snow depths. Seasonal (6-month) survival during the first year was 0.219 (SE = 0.040) and during the second year was 0.006 (SE = 0.005). We found no evidence that sex, age, or study site influenced survival, and very weak support for an effect of body mass. During our study, there were two extreme winter weather events, during which we found unusually high numbers of non-predation mortality. Overall, northern bobwhite nonbreeding season survival in the northwest corner of their range appears to be generally similar to other regions, except during extreme winter weather events, which resulted in high mortality. We encourage managers to create or maintain vegetation characteristics that will provide shelter from winter weather while also providing abundant food in close proximity.</p>
Monsoonal wet season influences the migration tendency of a catadromous fish (barramundi Lates calcarifer)
<ol> <li>Many animals exhibit partial migration, which occurs when populations contain coexisting contingents of migratory and resident individuals. This individual-level variation in migration behaviour may drive differences in growth, age at maturity, and survival. Therefore, partial migration is widely considered to play a key role in shaping population demography.</li> <li>Otolith chemistry and microstructural analysis were used to identify the environmental and individual-specific factors that influence migratory behaviour in the facultatively catadromous barramundi (<em>Lates calcarifer</em>) at two distinct life history stages: firstly, as juveniles migrating upstream into fresh water; and secondly, as adults or sub-adults returning to the estuarine/marine spawning habitat.</li> <li>Monsoonal climate played an important role in determining the migration propensity of juveniles: individuals born in the driest year examined (weak monsoon) were more than twice as likely to undergo migration to freshwater than those born in the wettest (strong monsoon) year. In contrast, the ontogenetic timing of return migrations to the estuary by adults and sub-adults was highly variable and not strongly associated with the environmental parameters examined.</li> <li>We propose that scarce resources within saline natal habitats during lower rainfall years may provide an ecological incentive for juveniles to migrate upstream, whereas more abundant resources in higher rainfall years may promote resident life histories within estuaries.</li> <li>We conclude that inter-annual climatic variation, here evidenced by monsoonal strength, likely plays an important role in driving the persistence of diversified life-histories within wild barramundi populations. </li> </ol>
Molecular mechanisms of seasonal brain shrinkage and regrowth in Sorex araneus
<div class="page"> <div class="layoutArea"> <div class="column"> <p>Human brains typically grow through development, then remain the same size in adulthood, and often shrink through age-related degeneration that induces cognitive decline and impaired functionality. In most cases, however, the neural and organismal changes that accompany shrinkage, especially early in the process, remain unknown. Paralleling neurodegenerative phenotypes, the Eurasian common shrew <em>Sorex</em> <em>araneus</em>, shrinks its brain in autumn through winter, but then reverses this process by rapidly regrowing the brain come spring. To identify the molecular underpinnings and parallels to human neurodegeneration of this unique brain size change, we analyzed multi-organ, season-specific transcriptomics and metabolomic data. Simultaneous with brain shrinkage, we discovered system-wide metabolic shifts from lipid to glucose metabolism, as well as neuroprotection of brain metabolic homeostasis through reduced cholesterol efflux. These mechanisms rely on a finely tuned brain-liver crosstalk that results in changes in expression of human markers of aging and neurodegeneration in Parkinson's disease and Huntington's disease. We propose metabolic shifts with signals that cross the brain-blood barrier are central to seasonal brain size changes in <em>S. araneus</em>, with potential implications for therapeutic treatment of human neurodegeneration.</p> </div> </div> </div>
Dataset for: Windows of opportunity for predicting seasonal climate extremes: Pakistan floods of 2022
<p>Data required to regenerate any of the figures in Nature Communications paper "Windows of opportunity for predicting seasonal climate extremes: Pakistan floods of 2022"</p>
Seasonal changes in lake area on the Tibetan Plateau
<p>This data is a novel set of monthly Tibetan lake area data set over 2015–2020 which are extracted from multi-source optical and SAR images. In addition, based on lake area and open accessed water level data, we provide lake water mass change data sets of those lakes with valid water level records.</p>
Seasonal roost selection of wild turkeys at their northern range edge
<p>Wild turkeys (<em>Meleagris gallopavo</em>) are diurnally active birds that spend the dark hours roosting in trees. We tested the hypothesis that multiple benefits exist for roost tree selection by wild turkeys, including thermoregulation, resource acquisition, and protection from predators. We compared 48 roost trees used by eastern wild turkeys (M. g. <em>silvestris</em>) in Ontario, Canada to 48 non-roost trees sampled contemporaneously during 2017-2019 to determine roost site selection between seasons. Mean (± SE) roost tree height (21.4 ± 0.8 m) was taller than non-roost trees (18.2 ± 0.8 m), and roost trees were also larger in diameter at breast height (58.1 ± 5.5 cm versus 38.7 ± 3.1 cm). Using ibuttons to collect microclimate temperatures at the tree, we found that mean temperature (± SE) of a deciduous roost (14.5 ± 0.1°C) was higher than temperature at either a coniferous roost (13.9 ± 0.1°C) or ambient temperature (13.2 ± 0.1°C) during the summer months. In winter however, we did not find any relationship between temperature and tree type. Roosts were closer to buildings (150.8 ± 26.0 m) in the winter compared to summer and year-round roosts, and winter roosts were also farther away from crops (395.2 ± 63.7 m) compared to roost sites used year-round. Summer roosts were closer to roads (143 ± 36.3 m) than the roosts in the winter and roosts used year-round. Our data suggest that thermoregulation is not the driving force behind roost selection; instead, predator avoidance appears to play the most important role, with some weaker evidence in support of proximity to resources.</p>
NICOCO simulation data for the article "Diagnostic method for atmosphere–ocean coupling over tropical oceans at the sub-seasonal timescale"
<p>This data set includes data from an 8-year integration on the atmosphere-ocean coupled model NICOCO from 1 January 2010 to 31 December 2017. All outputs are daily averages on 1 x 1 degrees resolution. Output variables are sea surface temperature (K) and column water vapor (kg m-2). </p>
Chronic warming and dry soils limit carbon uptake and growth despite a longer growing season in beech and oak
<p>Progressively warmer and drier conditions impact tree phenology and carbon cycling with large consequences for forest carbon balance. However, it remains unclear how separate impacts of warming and drier soils differ from their cumulative ones and how species interactions modulate tree responses. Using mesocosms, we assessed the multi-year impact of continuous air warming and lower soil moisture acting alone or combined on phenology, leaf-level photosynthesis, non-structural carbohydrate concentrations, and aboveground growth of young European beech and Downy oak trees. We further tested how species interactions (monocultures vs. mixtures) modulated these effects. Warming prolonged the growing season of both species but reduced growth for oak. In contrast, lower moisture did not impact phenology but reduced trees' assimilation and growth for both species. Combined impacts of warming and drier soils did not differ from single ones. Performances of both species in the mixtures were enhanced compared to the monocultures under extreme conditions. Our work revealed that higher temperature and lower soil moisture have contrasting impacts on phenology vs. leaf-level assimilation and growth, with the former being driven by temperature and the latter by moisture. Furthermore, we show a compensation of the negative impacts of extreme events by tree species interactions.</p>
Field A Season 17
Field A through the Season. San Miceli (Salemi), Sicily. Models made with Photoscan, then scaling and bars done with Blender . Source: Objaverse 1.0 / Sketchfab
Data from: Thermal-metabolic relationships in hatchling snapping turtles during simulated seasonal cooling
<p>There is limited information available regarding metabolic rates (MR) in many species or life stages of turtles. I measured MR (as O<sub>2</sub> consumption) in fasted hatchling snapping turtles (<em>Chelydra serpentina</em>) at 5 to 25 °C. The relationships between temperature and MR (per capita and per gram wet body mass) were exponential and linearized by Log<sub>10</sub> transformations. The relative change in MR over a 10 °C range (Q<sub>10</sub>) varied with the ranges of temperatures compared and ranged from Q<sub>10, 15 to 5</sub> = 3.6 to Q<sub>10, 25 to 15</sub> = 9.6 to 9.9, for per capita and per gram values, respectively. The high Q<sub>10</sub> values observed here demonstrate reductions in metabolic activity with declining temperatures that are two to three times the predicted value. Such a strong thermal dependence of MR suggests a rapid response to seasonal changes, facilitating energy conservation during cooling periods and growth during warming periods in this temperate reptile.</p>
Figure 1 in Comparison of feeding apparatus and feeding intensity of the European sardine (Sardina pilchardus) off Morocco in two Atlantic upwelling areas with different seasonal activity
Figure 1. – Map showing the study area and different fishery areas in the Atlantic off Morocco.
A Phase 2 Influenza A Challenge Study Following Oral Administration of an H1N1 HA Ad-Vector Seasonal Flu Vaccine
ClinicalTrials.gov study NCT02918006. IPD Sharing: NO. Countries: 1. Publications: 2.
Clinical Trial to Assess the Efficacy and Safety of Ciclesonide Hydrofluoroalkane (HFA) Nasal Aerosol for the Treatment of Seasonal Allergic Rhinitis
ClinicalTrials.gov study NCT00790023. IPD Sharing: Not stated. Countries: 1. Publications: 1.
To Study GSP 301 in Patients With Seasonal Allergic Rhinitis
ClinicalTrials.gov study NCT02318303. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Environmental Treatment for Seasonal Affective Disorder (SAD)
ClinicalTrials.gov study NCT00139997. IPD Sharing: Not stated. Countries: 3. Publications: 1.
A Study to Evaluate the Safety, Tolerability, and Immunogenicity of Motavizumab (MEDI-524) After Dosing for a Second Season in Children
ClinicalTrials.gov study NCT00113490. IPD Sharing: Not stated. Countries: 2. Publications: 1.
Probiotics and Health-related Quality of Life in Individuals With Seasonal Allergies
ClinicalTrials.gov study NCT02349711. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Immunogenicity, Safety and Tolerability of Prepandemic Influenza and Seasonal Influenza Vaccine in Adult Subjects
ClinicalTrials.gov study NCT00481065. IPD Sharing: Not stated. Countries: 1. Publications: 2.
FeverText: Assessing Fever Rates After Vaccination During the 2011-12 Influenza Season Using Text Messaging
ClinicalTrials.gov study NCT01467934. IPD Sharing: Not stated. Countries: 1. Publications: 1.
ScienceDex guides
Understand access before you commit
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.