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.
163
datasets available to search
ShareScore release 0.7.1
Dataset results
163 results for “temporal variability”
Fig. 4 in Temporal distribution of ichthyoplankton in the Ivinhema River (Mato Grosso do Sul State/ Brazil): Influence of environmental variables
Fig. 4. Average values and standard error of the environmental variables obtained at the Ivinhema River (Mato Grosso do Sul State, Brazil) during the period between April 2005 and March 2006. A. Water outflow and rainfall; B. Dissolved oxygen and water temperature; C. Electrical conductivity and pH; and D. Total zooplankton.
Fig. 2 in Temporal distribution of ichthyoplankton in the Ivinhema River (Mato Grosso do Sul State/ Brazil): Influence of environmental variables
Fig. 2. Fish egg (A) and larva (B) abundance in the Ivinhema River (Mato Grosso do Sul State, Brazil) for the period between April 2005 and March 2006 (circles = average value; bars = standard error).
Code and data: Understanding temporal variability across trophic levels and spatial scales in freshwater ecosystems
<p>Code and data to reproduce the results in Siqueira et al. (submitted) published as a Preprint (https://doi.org/10.32942/osf.io/mpf5x)</p> <p>The full set of results, including those made available as supplementary material, can be reproduced by running five scripts in the <strong>R_codes</strong> folder following this sequence:</p> <ul> <li>01_Dataprep_stability_metrics.R</li> <li>02_SEM_analyses.R</li> <li>03_Stab_figs.R</li> <li>04_Stab_supp_m.R</li> <li>05_Sensit_analysis.R</li> </ul> <p>and using the data available in the <strong>Input_data</strong> folder.</p> <p>The original raw data made available include the abundance (individual counts, biomass, coverage area) of a given taxon, at a given site, in a given year. See details here https://doi.org/10.32942/osf.io/mpf5x</p> <p>However, this is a collaborative effort and not all authors are allowed to share their raw data. One data set (LEPAS), out of 30, was not made available due to data sharing policies of The Ohio Division of Wildlife (ODOW). So, in code "01_Dataprep_stability_metrics.R" all data made available are imported, except the LEPAS data set. For this specific data set, code "01_Dataprep_stability_metrics.R" imports variability and synchrony components estimated using the methods described in Wang et al. (2019 Ecography; doi/10.1111/ecog.04290), diversity metrics (alpha and gamma diversity), and some variables describing the data set.</p> <p>A protocol for requesting access to the LEPAS data sets can be found here:<br> https://ael.osu.edu/researchprojects/lake-erie-plankton-abundance-study-lepas</p> <p>Dataset owner: Ohio Department of Natural Resources – Division of Wildlife, managed by Jim Hood, Dept. of Evolution, Ecology, and Organismal Biology, The Ohio State University. Email: hood.211@osu.edu</p> <p>Anyone who wants to reproduce the results described in the preprint can just download the whole R project (that includes code and data) and run codes from 01 to 05.</p> <p>I am making the whole R project folder (with everything needed to reproduce the results) available as a compressed file.</p>
Code: A model of wild bee populations accounting for spatial heterogeneity and climate induced temporal variability of food resources at the landscape level
Open the record for dataset details and reuse information.
Temporal instability of lake charr phenotypes: Synchronicity of growth rates and morphology linked to environmental variables?
<p>Pathways through which phenotypic variation among individuals arise can be complex. One assumption often made in relation to intraspecific diversity is that the stability or predictability of the environment will interact with expression of the underlying phenotypic variation. <span>To address</span> biological complexity below the species level<span>, we investigated variability across years in morphology and annual growth increments between and within two sympatric lake charr <i>Salvelinus namaycush</i> ecotypes in Rush Lake, USA. </span>A rapid phenotypic shift in body and head shape was found within a decade. The magnitude and direction of the observed phenotypic change was consistent in both ecotypes, which suggests similar pathways caused the variation over time. Over the same time period, annual growth increments declined for both lake charr ecotypes and corresponded with a consistent phenotypic shift of each ecotype. Despite ecotype-specific annual growth changes in response to winter conditions, the observed annual growth shift for both ecotypes was linked, to some degree, with variation in the environment. Particularly, a declining trend in regional cloud cover was associated with an increase of early stage (ages 1-3) annual growth for lake charr of Rush Lake. Underlying mechanisms causing changes in growth rates and constrained morphological modulation are not fully understood. An improved knowledge of the biology hidden within the expression of phenotypic variation promises to clarify our understanding of temporal morphological diversity and instability.</p>
A matter of scale: Identifying the best spatial and temporal scale of environmental variables to model the distribution of a small cetacean
<p>The importance of scale when investigating ecological patterns and processes is recognised across many species. In marine ecosystems, the processes that drive species distribution have a hierarchical structure over multiple nested spatial and temporal scales. Hence, multi-scale approaches should be considered when developing accurate distribution models to identify key habitats, particularly for populations of conservation concern. Here, we propose a modelling procedure to identify the best spatial and temporal scale for each modelled and remotely sensed oceanographic variable to model harbour porpoise (<em>Phocoena phocoena</em>) distribution. Harbour porpoise sightings were recorded during dedicated line-transect aerial surveys conducted in the summer of 2016, 2021 and 2022 in the Northeast Atlantic. Binary generalised additive models were used to assess the relationships between porpoise presence and oceanographic variables at different spatial (5, 20 and 40 km) and temporal (daily, monthly and across survey period) scales. Selected variables included sea surface temperature, thermal fronts, chlorophyll-a, sea surface height, mixed layer depth and salinity. A total of 30,514 km was covered on-effort with 216 harbour porpoise sightings recorded. Overall, the best spatial scale corresponded to the coarsest resolution considered in this study (40 km), while porpoise presence showed stronger association with oceanographic variables summarised at a longer temporal scale (monthly and averaged over survey period). Habitat models including covariates at coarse spatial and temporal scales may better reflect the processes driving availability and abundance of prey resources at the large scales covered during the surveys. These findings support the hypothesis that a multi-scale approach should be applied when investigating species distribution. Identifying suitable spatial and temporal scale would improve the functional interpretation of the underlying relationships, particularly when studying how a small marine predator interacts with its environment and responds to climate and ecosystem changes. </p>
Temporal and spatial variation of zooplankton in relation to environmental variables in the upper Santos estuary, São Paulo, Brazil
<p><span>Zooplankton samples were collected through oblique trawls with a 200 µm net with a flow meter during low tide, at 4 sampling sites with different degrees of salinity in the upper Santos estuary, in 28 campaigns carried out between 2014 and 2023, to analyze the spatial and temporal variations in the structure and abundance of zooplankton in relation to environmental variables using data from a long-term monitoring, in this way, contributing to the update of knowledge about the zooplankton community of the Santos estuary. </span></p>
Temporal variability of the westward Labrador Current transport at the Tail of the Grand Banks - Dataset
<p>Dataset used in the manuscript "Temporal variability of the westward Labrador Current transport at the Tail of the Grand Banks", submitted to Journal of Geophysical Research - Oceans. This dataset is derived from the Atlantic HYCOM stored in US ERDC archive.</p>
Dataset for Embedded Temporal Convolutional Networks for Essential Climate Variables Forecasting
<p>The dataset contains time series of surface soil moisture at three locations, namely Idaho, Indiana, and Oklahoma.</p> <p>For each location, the folder contains multiple gif images, one for each year, each containing 12 frames corresponding to monthly averages.</p> <p>More information at </p> <p>https://github.com/gtsagkatakis/ETCN</p>
Spatial and temporal variability of freezing level in Patagonia's atmosphere
<p>Deprecated version. Please review the latest version: <a href="../doi/10.5281/zenodo.11397841">10.5281/zenodo.11397841 </a></p>
Ziphius cavirostris presence relative to vertical and temporal variability of oceanographic conditions in the southern california bight
<p>The oceanographic conditions of the Southern California Bight (SCB) dictate the distribution and abundance of prey resources and therefore the presence of mobile predators, such as goose-beaked whales (<em>Ziphius cavirostris</em>). Goose-beaked whales are deep-diving odontocetes that spend a majority of their time foraging at depth. Due to their cryptic behavior, little is known about how they respond to seasonal and interannual changes in their environment. This study utilizes passive acoustic data recorded from two sites within the SCB to explore the oceanographic conditions that goose-beaked whales appear to favor. Utilizing optimum multiparameter analysis, modeled temperature and salinity data are used to identify and quantify these source waters: Pacific Subarctic Upper Water (PSUW), Pacific Equatorial Water (PEW), and Eastern North Pacific Central Water (ENPCW). The interannual and seasonal variability in goose-beaked whale presence was related to the variability in El Niño Southern Oscillation events and the fraction and vertical distribution of the three source waters. Goose-beaked whale acoustic presence was highest during the winter and spring and decreased during the late summer and early fall. These seasonal increases occurred at times of increased fractions of PEW in the California Undercurrent and decreased fractions of ENPCW in surface waters. Interannual increases in goose-beaked whale presence occurred during El Niño events. These results establish a baseline understanding of the oceanographic characteristics that correlate with goose-beaked whale presence in the SCB. Furthering our knowledge of this elusive species is key to understanding how anthropogenic activities impact goose-beaked whales.</p>
Figure 2 in Spatio-temporal variability in the Cladocera assemblage of a subtropical hypersaline lagoon
Figure 2. TS-diagram. At the 12 collection stations.
Data from: Spatio-temporal dynamics in syntopy are driven by variability in rangeland conditions
<p>Sympatry is the most common form of niche differentiation and can exist as broad sympatry (shared geographical region) or direct sympatry (i.e., syntopy (shared resource patch)). Syntopy may be highly dynamic, particularly in environments that experience stochastic events that increase variability in abiotic conditions and vegetation. We examined how estimates of syntopy varied across space and time in a rangeland system within the Southern Great Plains, USA over a three-year period (2013-2015). We modeled annual estimates of syntopy between three functionally similar (ground-foraging Galliformes) species (northern bobwhite (<em>Colinus virginianus)</em>, scaled quail (<em>Callipepla squamata)</em>, and lesser prairie-chicken (<em>Tympanuchus pallidicinctus)</em>. Niche similarity representing increased syntopy was greatest during years with increased drought conditions (2013-2014). Niche differentiation was greatest in 2015 in which rangelands experienced the greatest amount of precipitation. Syntopy estimates were driven by variability in vegetation cover estimates, representing changes in rangeland conditions related to abiotic conditions. Our results suggest that syntopy can be highly dynamic across space and time and can be driven by variability in abiotic conditions (i.e., precipitation). Furthermore, these results suggest that habitat is in a state of non-equilibrium. Finally, we highlight that climate refuges that promote demographic resiliency through intraspecific changes in resource use are fundamental drivers of spatio-temporal patterns in community dynamics, particularly across similar functional species.</p>
Figure 1 in Tintinnina (Ciliophora) and Foraminifera in plankton of hypersaline Lagoon Bardawil (Egypt): spatial and temporal variability
Figure 1. Map of sampling stations in Lagoon Bardawil.
Figure 6 in Temporal variability of the macroinvertebrate community associated with Eichhornia azurea (Swarts) Kunth (Pontederiaceae) in a lake marginal to a tropical river
Figure 6. Box-plots of macroinvertebrates community richness (expressed in log values).
Fig. 1 in Temporal distribution of ichthyoplankton in the Ivinhema River (Mato Grosso do Sul State/ Brazil): Influence of environmental variables
Fig. 1. Location of the sampling station.
Data from: Two for the price of one: eDNA metabarcoding reveals temporal and spatial variability of mussel and fish co-distributions in Michigan riverine systems
<p>Freshwater mussels (family Unionidae) are among the world's most endangered taxa, with almost 75% of North American taxa classified as a species of concern, threatened, or endangered. Despite the critical importance of comprehensive distributional data for the conservation of unionids and fishes, these data are often lacking because of the labor and resources associated with traditional survey methods. During their larval stage, unionid mussels use various fish species as obligate hosts, making native fish species vital to unionid persistence and an understanding of host distribution similarly important. Here, we utilized an eDNA metabarcoding approach to evaluate patterns of co-distribution of unionid mussels and fishes along ~362 km of the densely sampled Grand River network as well as the outlets of 19 tributaries along the eastern shore of Lake Michigan, USA. We detected a total of 21 mussel and 40 fish taxa, with distinctive composition of both mussel and fish assemblages across tributaries and differences in fish taxa between sampling periods. Notably, we detected more mussel taxa within the Grand River watershed than at the outlets of all 20 rivers combined. Within the Grand River network, two fish taxa (<em>Pylodictus</em> <em>olivaris</em> and <em>Cyprinella</em>) were found more frequently in areas of high mussel diversity, and three fish taxa more frequently in areas of low mussel diversity (<em>Umbra</em>, Leuciscidae, and <em>Etheostoma</em>). There was little difference between eDNA detections of mussels from samples collected in June versus August, but we detected significantly more fish taxa in August compared to June. Taken together, our findings demonstrate the value of eDNA metabarcoding for evaluating co-distribution of ecologically connected taxa. The use of eDNA as a tool for determining distributions of mussels and their obligate hosts may facilitate conservation efforts for these imperiled taxa.</p>
Temporal correlations among demographic parameters are ubiquitous but highly variable across species
<p><span>Temporal correlations among demographic parameters can strongly influence </span><span>population dynamics. Our empirical knowledge, however, is very limited regarding the direction and the magnitude of these correlations and how they vary among demographic parameters and species' life-histories</span><span>. Here, we</span><span> use long-term demographic data from 15 bird and mammal species with contrasting pace of life to quantify correlation patterns among five key demographic parameters: juvenile and adult survival, reproductive probability, reproductive success and productivity.</span><span> Correlations among demographic parameters were ubiquitous, more frequently positive than negative, but strongly differed across species. Correlations did not markedly change along the slow-fast continuum of life-histories, suggesting that they were more strongly driven by ecological than evolutionary factors. </span><span>As</span><span> positive temporal demographic correlations decrease the mean of the long-run population growth rate, the common practice of ignoring temporal correlations in population models could lead to the underestimation of extinction risks in most species.</span></p>
Temporal variability of explosive activity at Tajogaite Volcano, Cumbre Vieja (Canary Islands), 2021 eruption from ground-based infrared photography and videography
<p>Supplementary material to: Temporal variability of explosive activity at Tajogaite Volcano, Cumbre Vieja (Canary Islands), 2021 eruption from ground-based infrared photography and videography (2023). </p> <p>Files are short infrared videos of explosive activity in the near-vent region of Tajogaite Volcano. Files are named by date of acquisition. </p>
Data from: Two for the price of one: eDNA metabarcoding reveals temporal and spatial variability of mussel and fish co-distributions in Michigan riverine systems
Open the record for dataset details and reuse information.
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.