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.
93
datasets available to search
ShareScore release 0.9.0
Dataset results
93 results for “ecological dynamics”
Figure 2 from: Capela N, Duan X, Ziółkowska EM, Topping CJ (2024) Modelling foraging strategies of honey bees as agents in a dynamic landscape representation. Food and Ecological Systems Modelling Journal 5: e99103. https://doi.org/10.3897/fmj.5.99103
Figure 2 The total mass of floral resources (i.e. sugar and pollen) in the studied landscape available to bees in all the simulations. The mass of floral resources was calculated, based on the production and phenology of the individual plant species comprising the habitats present in the studied landscape and the landscape composition. Pollen availability started on simulation day 20 and nectar was available from day 39.
Figure 1 from: Capela N, Duan X, Ziółkowska EM, Topping CJ (2024) Modelling foraging strategies of honey bees as agents in a dynamic landscape representation. Food and Ecological Systems Modelling Journal 5: e99103. https://doi.org/10.3897/fmj.5.99103
Figure 1 Components in ALMaSS landscape model. The blue arrow represents the access to landscape information at a 1 m2 resolution. In this example, one element has woody habitats, while the other is an arable field. The information about each element depends on its type and the temporal factors described in the green boxes. The orange box shows some of the factors derived from the landscape element type, its management and the weather.
Figure 6 from: Capela N, Duan X, Ziółkowska EM, Topping CJ (2024) Modelling foraging strategies of honey bees as agents in a dynamic landscape representation. Food and Ecological Systems Modelling Journal 5: e99103. https://doi.org/10.3897/fmj.5.99103
Figure 6 Results of the implementation of different scouting and foraging strategies on the performance of model colonies in terms of nectar collection. For each scouting strategy (i.e. distance, quality or random), four different foraging strategies (i.e. distance, energy efficiency, quality and random) were tested. The total amount of sugar collected, the mean number of daily foraging flights and their success were evaluated for all combinations of scouting and foraging strategies.
Supplementary material from "Evolutionary dynamics of sustainability ideas in China: inferences from ecological and economic concepts usage in People's Daily"
<p>Previous cultural evolutionary analyses have exploited the use of neutral models, or random copying models, analogous to neutral genetic drift, as null models to distinguish the unbiased copying and biased transmission of neutral cultural traits, but the dynamics and underlying mechanism of non-neutral cultural traits have not yet been explored. Adopting an ecological perspective, we define ecological and economic concepts as non-neutral cultural traits constitute a complex ecosystem of meaning representing sustainability ideas. We analyse the frequency distribution, turnover and innovation rates of nearly 4000 concepts appearing in <i>People's Daily</i> from 1946 to 2015. The results reveal that, ecological concepts show stronger tendency towards random copying than economic concepts. The popular ecological and economic concepts may experience conformist bias and anti-conformist bias respectively. Semantic and pragmatic differences of popular concepts affect the variability which indicate stronger cultural drift in the ontological domain. The frequency change in popular concepts also suggests positive selection due to political strategy and governmental policy.</p>
SEED GERMINATION DYNAMICS OF XANTHIUM STRUMARIUM L. (AN ECOLOGICAL PERSPECTIVE)
Open the record for dataset details and reuse information.
Multiple stressors drive multitrophic biodiversity and ecological network dynamics in a shrinking sandy lake
Open the record for dataset details and reuse information.
Differential geographical and ecological dynamics allow diversification of morphologically convergent giant bromeliads in the Atlantic Forest
<p>Aim: This paper investigates evolutionary mechanisms that allow morphologically convergent lineages share the same geographical space. We compared the events occurred along the diversification of <i>Karawata</i> and <i>Aechmea</i> subgen. <i>Chevaliera</i> in Atlantic Forest by 1) verifying whether the climatic niches and habitats of <i>Karawata </i>and <i>Aechmea </i>subgen.<i> Chevaliera</i> are similar; 2) testing whether the two groups had the same pattern of colonization in the Atlantic Forest; and 3) evaluating whether they had the same evolutionary dynamics of environmental space occupation. We see the two bomeliad lineages as a model case to understand sympatric diversification in the Atlantic Forest biome.</p> <p>Location: Brazilian Atlantic Forest</p> <p>Taxon: <i>Karawata</i> and <i>Aechmea </i>subgen. <i>Chevaliera</i> (Bromeliaceae: Bromelioideae)</p> <p>Methods: We explored differences in evolutionary dynamics between the lineages analyzing the divergence times, estimating ancestral ranges and habitats, testing niche similarity and evaluating shifts in speciation dynamics.</p> <p>Results: <i>Karawata </i>and <i>A. </i>subgen. <i>Chevaliera </i>most likely originated in the Pliocene and diversified during the Pleistocene. The two clades originated in ombrophilous forests and shared a similar environmental space. However, <i>Karawata </i>and <i>A. </i>subgen. <i>Chevaliera </i>show different dynamics in the occupation of geographical and environmental spaces. Our results suggest that the São Francisco and Jequitinhonha Rivers acted as geographical barriers for <i>Karawata </i>and <i>A. </i>subgen. <i>Chevaliera</i>.</p> <p>Main Conclusions: Differences in spatial and environmental evolutionary dynamics allow the two groups to occupy similar habitats as well as environmental and geographical spaces in the Brazilian Atlantic Forest.</p>
Figure 4 from: Lessel T, Marx M, Eisenbeis G (2011) Effects of ecological flooding on the temporal and spatial dynamics of carabid beetles (Coleoptera, Carabidae) and springtails (Collembola) in a polder habitat. ZooKeys 100: 421-446. https://doi.org/10.3897/zookeys.100.1538
Figure 4 - Mean number of individuals of hygrophilic (A/B) and xerophilic/mesophilic (C/D) carabid beetle species at the fallow (A/C) and ruderal area (B/D) during different moisture conditions. Abbreviations: ef = ecological flooding (higher Rhine water levels); spe = flood caused by a strong precipitation event; dc = drought conditions; ° outliers. Different letters represent statistically significant differences (Mann-Whitney U-test).
Figure 3 from: Lessel T, Marx M, Eisenbeis G (2011) Effects of ecological flooding on the temporal and spatial dynamics of carabid beetles (Coleoptera, Carabidae) and springtails (Collembola) in a polder habitat. ZooKeys 100: 421-446. https://doi.org/10.3897/zookeys.100.1538
Figure 3 - Mean number of individuals per trap and day (± SE) and total carabid beetle species number at location 1 (fallow area) and location 6 (ruderal area) (n=3) during the vegetation period of 2008. Hygrophilic species (black bars) and xerophilic as well as mesophilic species (grey bars) are shown. Abbreviations: ef = ecological flooding; spe = strong precipitation event.
Figure 1 from: Lessel T, Marx M, Eisenbeis G (2011) Effects of ecological flooding on the temporal and spatial dynamics of carabid beetles (Coleoptera, Carabidae) and springtails (Collembola) in a polder habitat. ZooKeys 100: 421-446. https://doi.org/10.3897/zookeys.100.1538
Figure 1 - Location of the polder "Ingelheim" in Germany and location of the different areas and pitfall trap localities (L1–L6) within this polder (A). Abbreviations: LA 0: ruderal area; HB 0: fallow area; LA 0 + HB 0: transition area between LA 0 and HB 0; HA 0: agricultural fields; L1–6: locations of the six pitfall trap groups (three pitfall traps per locality). The pictures show the main flood gate (left) and the ecological flood gate (right), and an ecological flooding in March 2007 (B) and the fast drying event in the ruderal area after ecological flooding in April 2007 (C).
Figure 6 from: Lessel T, Marx M, Eisenbeis G (2011) Effects of ecological flooding on the temporal and spatial dynamics of carabid beetles (Coleoptera, Carabidae) and springtails (Collembola) in a polder habitat. ZooKeys 100: 421-446. https://doi.org/10.3897/zookeys.100.1538
Figure 6 - PCA of springtail communities in the fallow area (location 1) and the ruderal area (location 6) during ecological flooding, the flood caused by a strong precipitation event and drought conditions. Only species with more than 1% dominance value in at least one area are included. Abbreviations of the species: I.pal=Isotomurus palustris; I.vir=Isotoma viridis; L.cya=Lepidocyrtus cyaneus; O.vil=Orchesella villosa; P.aqu=Podura aquatica; S.aqu=Sminthurides aquaticus. Percentage variation explained by the two PCA axes are included.
Figure 2 from: Lessel T, Marx M, Eisenbeis G (2011) Effects of ecological flooding on the temporal and spatial dynamics of carabid beetles (Coleoptera, Carabidae) and springtails (Collembola) in a polder habitat. ZooKeys 100: 421-446. https://doi.org/10.3897/zookeys.100.1538
Figure 2 - PCA of carabid beetle communities in the fallow area (location 1) and the ruderal area (location 6) during ecological flooding, the flood caused by a strong precipitation event and drought conditions. Only species with more than 1% dominance value in at least one area are included. Abbreviations of the species: A.mar=Agonum marginatum; A.bif=Amara bifrons; A.sim=Amara similata; B.lam=Bembidion lampros; B.pro=Bembidion properans; B.qua=Bembidion quadrimaculatum; C.pur=Carabus purpurascens; H.aff=Harpalus affinis; H.ruf=Harpalus rufipes; H.sma=Harpalus smaragdinus; N.bre=Nebria brevicollis; O.ard=Ophonus ardosiacus; P.cup=Poecilus cupreus; P.ant=Pterostichus anthracinus; P.mel=Pterostichus melanarius; P.nig=Pterostichus nigrita. Percentage variation explained by the two PCA axes is included.
Figure 5 from: Lessel T, Marx M, Eisenbeis G (2011) Effects of ecological flooding on the temporal and spatial dynamics of carabid beetles (Coleoptera, Carabidae) and springtails (Collembola) in a polder habitat. ZooKeys 100: 421-446. https://doi.org/10.3897/zookeys.100.1538
Figure 5 - Mean individual numbers per trap and day (± SE) and total species numbers of springtails of the pitfall traps of location 1 and location 6 (n=3) over the vegetation period 2008. Hygrophilic and hygrotolerant species (black bars) and xerotolerant as well as mesophilic species (grey bars) are shown. Abbreviations: ef = ecological flooding; spe = strong precipitation event.
Figure 7 from: Lessel T, Marx M, Eisenbeis G (2011) Effects of ecological flooding on the temporal and spatial dynamics of carabid beetles (Coleoptera, Carabidae) and springtails (Collembola) in a polder habitat. ZooKeys 100: 421-446. https://doi.org/10.3897/zookeys.100.1538
Figure 7 - Mean number of individuals of hygrophilic/hygrotolerant (A/B) and xerotolerant/mesophilic (C/D) collembolan species at the fallow (A/C) and ruderal area (B/D) during different moisture conditions. Abbreviations: ef = ecological flooding (higher Rhine water levels); spe = flood caused by a strong precipitation event; dc = drought conditions; ° outliers. Different letters represent statistically significant differences (Mann-Whitney U-test).
Supplementary material 1 from: Balestrini R, Delconte C, Buffagni A, Fumagalli A, Freppaz M, Calvo E, Buzzetti I (2019) Dynamic of nitrogen and dissolved organic carbon in an alpine forested catchment: atmospheric deposition and soil solution trends. In: Mazzocchi MG, Capotondi L, Freppaz M, Lugliè A, Campanaro A (Eds) Italian Long-Term Ecological Research for understanding ecosystem diversity and functioning. Case studies from aquatic, terrestrial and transitional domains. Nature Conservation 34: 41-66. https://doi.org/10.3897/natureconservation.34.30738
: Data type: statistical data
Data from: Analysing ecological dynamics with relational event models: the case of biological invasions
<p>Dynamic species invasions network: sender nodes are species and receiver nodes are regions as defined in the FirstRecords database. The dataset covers four taxonomic groups (i.e., mammals, birds, plants, insects) and a fixed time-frame [1880–2005] over which the invasion process of the species occurs into the regional set of the 272 pre-specified regions. The dataset includes 16,403 invasion events recorded for 4,835 species (615 birds, 186 mammals, 3,920 plants, and 114 insect species). The average number of invasion events per taxonomic group is ~5 records per insect species, ~4 per bird and mammal species, and ~3 recorded events per plant species. On average, ~46 invasion events are recorded per region, ranging from 1 to 1,685 events. 157 regions had less than 15 observations, with 33% of these regions located in Africa; 36 regions had more than 100 records.</p>
Data from: Ecological constraints coupled with deep-time habitat dynamics predict the latitudinal diversity gradient in reef fishes
Open the record for dataset details and reuse information.
Data from: Inference of Japanese encephalitis virus ecological and evolutionary dynamics from passive and active virus surveillance
Open the record for dataset details and reuse information.
Data from: The ecological dynamics of clade diversification and community assembly
Open the record for dataset details and reuse information.
Data from: How ecology and landscape dynamics shape phylogenetic trees
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.