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4,243 results for “seasonality”
Figure 7 in The effect of insularity on the seasonal population structure of Mesobuthus gibbosus (Scorpiones: Buthidae)
Figure 7: The Relative Surface Density per sampling in the two study sites.
Figure 2 in The effect of insularity on the seasonal population structure of Mesobuthus gibbosus (Scorpiones: Buthidae)
Figure 2: A scorpion marked in the first somite of the mesosoma (November 2001 in Crete).
Figure 4 in The effect of insularity on the seasonal population structure of Mesobuthus gibbosus (Scorpiones: Buthidae)
Figure 4: The population density at the two sites.
Figure 1 in The effect of insularity on the seasonal population structure of Mesobuthus gibbosus (Scorpiones: Buthidae)
Figure 1: Map showing the location of the two study sites in Greece.
Figure 5 in The effect of insularity on the seasonal population structure of Mesobuthus gibbosus (Scorpiones: Buthidae)
Figure 5: The proportion of marked scorpions per sampling.
Fig. 1 in Seasonal, Lunar and Tidal Influences on Habitat Use of Indo-Pacific Humpback Dolphins in Beibu Gulf, China.
Fig. 1. Map of the study site: the Beibu Gulf, China.
Dataset: Climate change effects on early stages of Quercus ariifolia (Fagaceae), an endemic oak from seasonally dry forests of Mexico
<p>This repository contains the files associated with the following article:</p> <p>Badano EI, FA Guerra-Coss, EJ Sánchez-Montes de Oca, CI Briones-Herrera & SM Gelviz-Gelvez. Climate change effects on early stages of <em>Quercus ariifolia</em> (Fagaceae), an endemic oak from seasonally dry forests of Mexico. Acta Botanica Mexicana, 126, Article e1466. <a href="https://doi.org/10.21829/abm126.2019.1466">https://doi.org/10.21829/abm126.2019.1466</a></p> <p>The first Microsoft Excel file (Additional data 01 - Microclimate.xlsx) contains microclimate data gathered within control plots and climate change simulation plots (CCS plots) during the field experiment. These data include air temperature (measured every hour in 10 experimental units of each climate treatment with dataloggers - HOBO U23-Pro-V2, Onset Computer Corporation, USA), rainfall (measured at each rainfall event in 5 experimental units of each climate treatment with automatized pluviometers - HOBO S-RGB-M002, Onset Computer Corporation, USA) and soil water content (measured every week in 10 experimental units of each climate treatment with a time-domain reflectometer - FieldScout TDR 300, Spectrum Technologies, USA). Values of each of these variables are provided in different spreadsheets. The second Microsoft Excel file (Additional data 02 - Seedling responses) contains the data used to calculate the emergence rates and survival rates of <em>Quercus ariaefolia</em> during the experimental period a each experimental treatment. This file also contains the data gathered at the end of the experiment about chlorophyll content (in SPAD Units) and chlorophyll fluorescence (the spreadsheet contains the values of these variables measured on each seedling leaf; the computation of averages across leaves of each seedling is provided on the side), and the other functional traits measured on seedlings from controls and CCS plots.</p>
Components of radon progeny in the air at the Gruvebadet observatory in Ny-Alesund (Svalbard islands, Norway) during the melting and the summer season in 2015
<p>Components of radon progeny in the air at the Gruvebadet observatory in Ny-Alesund (Svalbard islands, Norway) during the melting and the summer season in 2015. This dataset was obtained decomposing the three components (short-lived, long-lived and near-constant progenies) considering the different decay processes.</p> <p>Raw data expressed in counts per second per cubic meter are presented in the first sheet. Smoothed data are included in the second sheet and meteorological hourly averages are reported in the third one.</p>
Soil moisture maps of Ukraine based on SMAP satellite data, vegetation season 2018
<p>A set of soil moisture maps of Ukraine based on SMAP satellite data</p> <p>Product: SMAP Enhanced L3 Radiometer Global Daily 9 km EASE-Grid Soil Moisture V001</p> <p>Vegetation season 2018</p> <p> </p>
Data for: Temporal variation in intertidal habitat use by nekton at seasonal and diel scales
<p>A two-year dataset of nekton community structure, seagrass, temperature, and salinity for seagrass-vegetated and unvegetated habitats in Willapa Bay, Washington State, USA. </p>
Tree rings as a proxy for seasonal precipitation variability and Early Neolithic settlement dynamics in Bavaria, Germany
<p>The file contains original measurements of total ring width (TRW) of 540 subfossil oak trees from the Main region (southern Germany) spanning the period from 6228 to 4057 BCE (2172 years).</p> <p>Latitude: 49.6-50.2°N</p> <p>Longitude: 10.2-11.2°E</p> <p>Resolution of measurement: 0.01 mm</p> <p>File format: Tucson (.tuc)</p>
Seasonal and Interannual Variability of Areal Extent of the Gulf Hypoxia from a Coupled Physical-Biogeochemical Model: A New Implication for Management Practice
<p>netcdf data and code for JGR manuscript: seasonal and interannual variability of areal extent of the Gulf Hypoxia from a coupled physical-biogeochemical model: A new implication for management practice</p>
IMPREX - TUC - Local scale seasonal hydrological and drought indices forecasts
<p>The compressed files are seasonal forecasts of discharge based on ECMWF System4 (1981-2003) and GLOSEA5 (1996-2003) for the Koutsoulidis catchment, Crete, Greece. The location of the Koutsoulidis catchment as well as the methodology of data development and validation are described in the open access publication by Grillakis et al., 2018 (<a href="https://www.mdpi.com/2073-4441/10/11/1593">https://www.mdpi.com/2073-4441/10/11/1593</a>). Seasonal forecasts of Standardized Precipitation Index (SPI) based on ECMWF System4 (1981-2009) and GLOSEA5 (1996-2009) for the Messara catchment are also included. A description of the study site and methodology is included in the poster attached in the compressed file (EGU201712072-Koutroulis).</p>
A neural network-based estimate of the seasonal variability of total alkalinity in the East China Sea shelf
<p>In order to estimate the seasonal variability of total alkalinity in the ECS shelf, an artificial neural network (ANN) model was developed using 5 cruise datasets from 2008 to 2018. The model used temperature, salinity, and dissolved oxygen to estimate A<sub>T</sub> with a root-mean-square error of ~7 umol kg<sup>-1</sup>, and was applied to fill missing alkalinity data for 8 cruises during 2013-2016. In addition, monthly water column A<sub>T</sub> for the period 2000-2016 was also obtained passing temperature, salinity, and dissolved oxygen from the Changjiang Biology Finite-Volume Coastal Ocean Model (FVCOM) Data. Spatial distributions, seasonal cycles and correlations of surface A<sub>T</sub> indicated that the seasonal fluctuation of the Changjiang River discharge is the major factor affecting seasonal variation of surface total alkalinity in the ECS shelf. The largest seasonal fluctuation of surface total alkalinity was found on the inner shelf near the Changjiang Estuary.</p>
Meridional and zonal eddy-induced heat and salt transport in the Bay of Bengal and their seasonal modulation
<p>CTD (conductivity-temperature-depth) and ADCP (Acoustic Doppler Current Profiler ) data in the Bay of Bengal.</p>
Crown morphology in Norway spruce (Picea abies [Karst.] L.) as adaptation to mountainous environments is associated with single nucleotide polymorphisms (SNPs) in genes regulating seasonal growth rhythm
Trees growing at high altitude or latitude have to be adapted, amongst others, to the lower temperatures, a shorter vegetation period, heavier snow load and frost desiccation. Association between molecular genetic markers and climatic variables may provide evidence for the genetic control of climatic adaptation. With increasing genomic resources, several genes with importance to climatic adaptation are identified over a wide range of tree species. Commonly, circadian clock genes are linked to the adaptation to lower temperatures and especially to a shortened vegetation period, as they are regulating metabolic and phenological processes in the day-night shift and seasonal change. Potentially adaptive "candidate" genes associated with latitudinal and elevational gradients were identified in several Picea spp. Before molecular markers became available to study climatic adaptation, phenotypic traits measured in natural populations and/or common garden studies were used to search for their association with climate variables. In Norway spruce, the crown architecture is the most noticeable trait associated with altitude and the related environment. The mountainous narrow-crowned morphotype is characterised by superior resistance to snow breakage in regions with heavy snow fall. In total, the crown shape was assessed in 765 individual trees from mountainous regions in the Thuringian Forest, the Ore Mountains (Saxony) and Harz Mountains (Lower-Saxony/Saxony-Anhalt), and they were genotyped at 44 single nucleotide polymorphisms (SNPs) in 24 adaptive trait related candidate genes. Six SNPs in three genes, APETALA 2-like 3 (AP2L3), GIGANTEA (GI), and mitochondrial transcription termination factor (mTERF) were associated with variation in crown shape. GI has previously been identified in angiosperms and gymnosperms to be associated with temperature and growth cessation. Our results showed that crown morphology in Norway spruce is associated with genetic markers which are putatively involved in the complex process of genetic adaptation to climatic conditions at high altitudes.
The prediction data analyzed in "Seasonal Arctic sea ice prediction using a newly developed fully coupled regional model with the assimilation of satellite sea ice observations"
<p>The outputs of seasonal predictions with the new modeling system analyzed in the article including:</p> <p>Sea ice concentration (SIC)</p> <p>Sea ice thickness (SIT)</p> <p>Sea surface temperature (SST)</p> <p>Near surface air temperature (T2) </p>
Figure 1 in Seasonal distribution of Trachurus mediterraneus (Steindachner, 1868) in the Golden Horn Estuary, İstanbul
Figure 1. Map of Golden Horn Estuary and sampling locations.
Figure 6 in Biological diversity and seasonal variation of mesozooplankton in the southeastern Black Sea coastal ecosystem
Figure 6. Anchovy production during the sampling period.
Figure 5 in A comparative study of the diurnal behaviour of the Northern Shoveller (Anas clypeata) during the wintering season at Garaet Hadj-Tahar (North-East Algeria) and Garaet Timerganine (Algerian highlands)
Figure 5. (continued).
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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.