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opennotspecifiedNov 2018View details →

FIGURE 4 in Biogeographical identity of the Mesoamerican dominion with emphasis on seasonally dry tropical forests

FIGURE 4. Geographical patterns of species richness of species of the seasonally dry tropical forests for the Mesoamerican dominion, on a grid of 0.5° × 0.5° grid-cells.

opennotspecifiedNov 2018View details →

FIGURE 5 in Biogeographical identity of the Mesoamerican dominion with emphasis on seasonally dry tropical forests

FIGURE 5. Geographical patterns of species endemism richness of species of the seasonally dry tropical forests for the Mesoamerican dominion, on a grid of 0.5° × 0.5° grid-cells.

opennotspecifiedNov 2018View details →

FIGURE 2 in Biogeographical identity of the Mesoamerican dominion with emphasis on seasonally dry tropical forests

FIGURE 2. Biogeographical regionalization and area relationships for the Neotropical region based Cluster analysis (Sorensen dissimilarity coefficient) of species of the seasonally dry tropical forests, on a grid of 0.5° × 0.5° grid-cells. Colours in the dendrogram correspond to those on the map and node labels correspond to the distance (dissimilarity) between clusters.

Seasonal Variability in Baffin Bay

This archive contains data and MATLAB code used to generate figures in the paper "Seasonal Variability in Baffin Bay". Original model outputs and files for the experiment used in this paper are available upon request.

Seasonal and between-population variation in heat tolerance and cooling efficiency in a Mediterranean songbird

Data collection This database contains physiological data on thermoregulation in response to heat -- heat tolerance limit (HTL), body temperature (Tb), resting metabolic rate (RMR), evaporative water loss (EWL) and evaporative cooling efficiency (EHL/MHP) -- collected during winter and summer in two populations on Great tits Parus major submitted to different thermal environments (one from a montane, more thermally stable site; and the other from a lowland, warmer and more thermally heterogeneous site) in southwestern Iberia. Physiological data were collected by using open flow through respirometry (see Material and Methods for detailed protocols).  Statistical analyses  We evaluated seasonal and between population differences to asses the degree of phenotypical flexibility in those physiological thermoregulatory traits both above and below thermoneutrlaity. See detailed analyses below:  We conducted all statistical analyses in R 4.1.2 (R Core Team, 2021). We used the segmented package (Muggeo, 2009) to determine inflection points in Tb, RMR, EWL, and EHL/MHP for each site and season. Then, the data were split based on inflection points for subsequent analyses below and above thermoneutrality (as in Whitfield et al., 2015). Linear and linear mixed-effects models were fitted to the data by using the lme4 package (Bates et al., 2015). We used the emmeans package (Lenth, 2022) to perform post-hoc pairwise contrasts between groups, and visually checked model assumptions in model residuals. First, to assess seasonal and between-population variation in heat tolerance, we fitted a linear model with HTL (please see Heat Tolerance Limits sheet on dataset) as response variable and body mass, site, season, and the site×season interaction as predictors. Then, we fitted linear models to each thermoregulatory trait (namely Tb, RMR, EWL and EHL/MHP; please see Physiological Data sheet on dataset), using a single Tair stage per individual within (Tair ~ 30 ºC) and above thermoneutral zone (Tair ~ 37 ºC) of Great tits (as inflection points of all variables were below this last Tair stage), including body mass, site, season, and the site×season interaction as predictor variables. Second, for summer measurements, we fitted linear mixed-effects models to evaluate population variation in the slopes of Tb, RMR, EWL and EHL/MHP against Tair above thermoneutrality, as we could obtain several measurements per individual above inflection points for each trait during this season. Initial models included Tair, body mass, site, and the Tair×site interaction as predictor variables, with ring as a random effect. When site emerged as a significant predictor, we additionally fitted separate population-specific models to calculate the slopes and y-intercepts of each thermoregulatory trait in response to Tair.

The Dataset of the paper "Seasonal and spatial variability and mechanisms of suspended sediment concentration in the Yellow River mouth and adjacent waters"

<div> The  data for "Seasonal and spatial variability and mechanisms of suspended sediment concentration in the Yellow River mouth and adjacent waters". The file names correspond to the figures in the paper. </div>

opencc-by-4.0Feb 2024View details →

Seasonal plankton δ13C and δ15N in the Subantarctic

This dataset comprises measurements of δ13C and δ15N for both SPM and mesozooplankton collected within the Indian sector of the Southern Ocean, particularly from the Subantarctic Zone (SAZ) and the Polar Frontal Zone (PFZ). The collection was conducted aboard the MV S.A. Agulhas II during two autumn cruises in April-May of 2016 and 2017, and during two winter cruises in July-August 2015 and June-July 2017, as well as aboard the MV Akademik Treshnikov during the Antarctic Circumnavigation Expedition (ACE) in early summer of December 2016. Mesozooplankton data are available only for the two autumn seasons and the summer of 2016.

Pilot scale on-site demonstration and seasonality assessment of nitrogen recovery and water reclamation from pig's slurry liquid fraction

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In situ sampling uncovers seasonal variability in community structure and metabolism of active deep-sea microbes

Non-rRNA metatranscriptome and MAG datasets of research "In situ sampling uncovers seasonal variability in community structure and metabolism of active deep-sea microbes"

opencc-by-4.0Aug 2024View details →

Data Set - Seasonal variability in the global relevance of mountains to satisfy lowland water demand

GENERAL INFORMATION The data and scripts used for the analysis of the manuscript "Seasonal variability in the global relevance of mountains to satisfy lowland water demand" When using this dataset, please refer to the original publication in addition to this Zenodo repository. DATA & FILE OVERVIEW please have a look at readme.txt  Don't hesitate to contact us in case of any questions (sarah.hanus@geo.uzh.ch)

Seasonal and altitude dependence of thermospheric metastable helium densities measured by fluorescence lidar: lidar dataset

These are NetCDF files containing lidar return data from the helium fluorescence lidar described in the referenced paper (doi to be added). The data contain the following variables: The data have one of two possible formats. For files beginning '2023', the instrument was operated in single frequency mode, and the files contain the following fields:  'photons_chX' with X between 0 and 11 - A Nx3000 array of detected photon counts binned into N 10-second intervals in time and 3000 2-km bins in altitude. Note that only the first 1000 bins in the second axis contain data, up to an altitude of 2000 km; the arrays are then padded with zeros.  'shots_chX' with X between 0 and 11 - An array of length N with the number of laser pulses fired during the corresponding interval.  'time_offset' - A single value, giving the unix timestamp relative to which the 'time' variable is measured. 'time' - An array of length N with the midpoint time in milliseconds of the corresponding interval, measured relative to the 'time_offset'. 'altitude' - An array of length 3000 with the lower edges of the corresponding altitude bins, in meters. For files beginning '2024', the instrument was operated in multi-frequency mode, and the files contain the following fields: 'photons_chX' with X between 0 and 11 - A 41xNx3000 array of detected photon counts binned into 41 1-pm bins in wavelength, N 10-s intervals in time, and 3000 2-km bins in altitude. Note that only the first 600 bins in the third axis contain data, up to an altitude of 1200 km; the arrays are then padded with zeros.  'shots_chX' with X between 0 and 11 - A 41xN array with the number of laser pulses fired with the corresponding wavelength during the corresponding interval. 'wavelength' - An array of length 41 giving the central wavelength of each wavelength bin.  'time_offset' - A single value, giving the unix timestamp relative to which the 'time' variable is measured. 'time' - An array of length N with the midpoint time in milliseconds of the corresponding interval, measured relative to the 'time_offset'. 'altitude' - An array of length 3000 with the lower edges of the corresponding altitude bins, in meters.   Note that this is a standardized data format used by many instruments; it contains several other variable fields that are not used by the present instrument and are therefore omitted from this description.

Supplementary data for "Dimensionality reduction distills complex evolutionary relationships in seasonal influenza and SARS-CoV-2"

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FIGURE 5 in Two species of nivicolous myxomycetes that formed fruiting bodies during three spring seasons in the lowlands of the Eastern Ukraine

FIGURE 5. Climate conditions in the study area during 2016–2019. Gray line indicates air temperature, grey area represents the thickness of snow cover (days with snow cover>30 cm are above the horizontal black line), and red lines correspond to the beginning/end dates, when myxomycetes were collected.

FIGURE 4. Lamproderma aff. pulchellum Meyl. A–D. Sporocarps. E, F. Capillitium. G. Peridium and spores. H, I in Two species of nivicolous myxomycetes that formed fruiting bodies during three spring seasons in the lowlands of the Eastern Ukraine

FIGURE 4. Lamproderma aff. pulchellum Meyl. A–D. Sporocarps. E, F. Capillitium. G. Peridium and spores. H, I. Spores.

FIGURE 3. Lamproderma pseudomaculatum Mar. Mey. et Poulain. A–D. Sporocarps. E, F. Capillitium. G in Two species of nivicolous myxomycetes that formed fruiting bodies during three spring seasons in the lowlands of the Eastern Ukraine

FIGURE 3. Lamproderma pseudomaculatum Mar. Mey. et Poulain. A–D. Sporocarps. E, F. Capillitium. G. Peridium (arrowheads indicate maculae). H, I. Spores.

FIGURE 2 in Two species of nivicolous myxomycetes that formed fruiting bodies during three spring seasons in the lowlands of the Eastern Ukraine

FIGURE 2. General appearance of collection sites at the time when nivicolous myxomycetes form fruiting bodies. A. National Park Homilsha forest. B, C. Kharkiv Forest-Park. D. Typical abundant fruiting of Lamproderma pseudomaculatum in Kharkiv Forest-Park.

FIGURE 1. Collection sites. 1. Kharkiv Forest-Park. 2. National Nature Park Homilsha Forest. 3 in Two species of nivicolous myxomycetes that formed fruiting bodies during three spring seasons in the lowlands of the Eastern Ukraine

FIGURE 1. Collection sites. 1. Kharkiv Forest-Park. 2. National Nature Park Homilsha Forest. 3. National Nature Park Slobozhanskyi.

Spatiotemporal patterns and implications of changing seasonal flooding extents on wetland landscapes of a transboundary Chobe River Basin in Southern Africa

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opennotspecifiedApr 2024View details →

Figure 2 in Seasonal breeding in three sympatric rodent species in semi-arid Tigray, northern Ethiopia

Figure 2: Predicted mean of (A, B, C) the minimal number of animals alive and (D, E, F) proportion of breeding females in the three seasons, for each grid (red grid 1, blue grid 2). The predicted means (dots) and their standard error bars were derived from the general linear models.