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zenodo32/100

FIGURES 48.—52. Steneotarsonemus furcatus 48 in Complementary description of three species of Steneotarsonemus (Acari: Tarsonemidae) from rice agroecosystems of Eastern India with notes on their taxonomic status, spatial distribution, intraspecific variation and species composition

FIGURES 48.—52. Steneotarsonemus furcatus 48—Dorsal surface (female), 49—Ventral surface (female), 50. Dorsal surface (male), 51—Dorsal surface (male), 52. Ventral surface (male).

opennotspecifiedMay 2022View details →
zenodo32/100

FIGURE 1 in Complementary description of three species of Steneotarsonemus (Acari: Tarsonemidae) from rice agroecosystems of Eastern India with notes on their taxonomic status, spatial distribution, intraspecific variation and species composition

FIGURE 1. Map of India depicting the locations of survey areas from where the specimens were collected.

opennotspecifiedMay 2022View details →
dryad32/100

Predation on sentinel prey increases with increasing latitude in Brassica-dominated agroecosystems

In natural ecosystems, arthropod predation on herbivore prey is higher at lower latitudes, mirroring the latitudinal diversity gradient observed across many taxa. This pattern has not been systematically examined in human-dominated ecosystems, where frequent disturbances can shift the identity and abundance of local predators, altering predation rates from those observed in natural ecosystems. We investigated the how latitude, biogeographical, and local ecological factors influenced arthropod predation in Brassica oleracea dominated agroecosystems in 55 plots spread among 5 sites in the United States and 4 sites in Brazil, spanning at least 15º latitude in each country. In both the United States and Brazil, arthropod predator attacks on sentinel model caterpillar prey were highest at the highest latitude studied and declined at lower latitudes. The rate of increased arthropod attacks per degree latitude was higher in the United States and the overall gradient was shifted poleward as compared to Brazil. PiecewiseSEM analysis revealed that aridity mediates the effect of latitude on arthropod predation and largely explains the differences in the intensity of the latitudinal gradient between study countries. Neither predator richness, predator density, nor predator resource availability predicted variation in predator attack rates. Only greater non-crop plant density drove greater predation rates, though this effect was weaker than the effect of aridity. We conclude that climatic factors rather than ecological community structure shapes latitudinal arthropod predation patterns and that high levels of aridity in agroecosystems may dampen the ability of arthropod predators to provide herbivore control services as compared to natural ecosystems. --

opencc-zeroJun 2022View details →
zenodo32/100

FIGURE 1 in Earthworm species in no-tillage agroecosystems and native Atlantic forests in Western Paraná, Brazil

FIGURE 1. Frequency (% of total individuals collected) of the native and exotic earthworm species found in no-tillage agroecosystems and native Atlantic forests in Western Paraná state, Brazil.

opennotspecifiedOct 2018View details →
zenodo32/100

Agroecosystem energy fluxes in Austria 1830-2010

<p>Agroecosystem energy fluxes in Austria 1830-2010 -&nbsp;Online database<br> <br> Projects<br> &quot;Hidden Emissions of Forest Transitions&quot;, European Research Council ERC-2017-STG 757995<br> &quot;Sustainable Farm Systems&quot;, Social Sciences and Humanities Research Council Partnership Grant 895-2011-1020<br> <br> Contact<br> Simone Gingrich: simone.gingrich@boku.ac.at<br> Institute of Social Ecology, Department of Economics and Social Sciences (WiSo), University of Natural Resources &amp; Life Sciences, Vienna (BOKU)<br> Schottenfeldgasse 29, 1070 Vienna, Austria<br> <br> URL<br> http://www.wiso.boku.ac.at/sec/data-download/<br> <br> Quote as<br> Gingrich, S., Krausmann, F., 2018. At the core of the socio-ecological transition: Agroecosystem energy fluxes in Austria 1830&ndash;2010. Science of The Total Environment 645, 119&ndash;129. https://doi.org/10.1016/j.scitotenv.2018.07.074<br> <br> For definitions and accounting procedures, see publication</p>

opencc-by-4.0Jul 2018View details →
zenodo32/100

Figure 3 in Relationship between environmental conditions and hostseeking activity of Ochlerotatus albifasciatus (Diptera: Culicidae) in an agroecosystem and in an urban area in Chubut, Central Patagonia, Argentina

Figure 3. Relationship between biting activity rate of Ochlerotatus albifasciatus (number of mosquitoes captured on the bait during 20 minutes of exposition) and (A) air temperature, (B) air environmental RH, (C) wind speed and (D) sunshine degree. Continuous lines correspond to trials conducted in the evening, and dashed lines correspond to trials conducted in the morning and afternoon (pooled). Adjusted functions were obtained from a generalised linear model with negative binomial error distribution and log link function (see Methods for details).

opennotspecifiedMar 2016View details →
zenodo32/100

Figure 2 in Relationship between environmental conditions and hostseeking activity of Ochlerotatus albifasciatus (Diptera: Culicidae) in an agroecosystem and in an urban area in Chubut, Central Patagonia, Argentina

Figure 2. Absolute frequencies of Ochlerotatus albifasciatus for the catches in Sarmiento Valley mean and standard error for the catches of Oc. albifasciatus according to different variables: (A) habitat type; (B) capture time; (C) proximity to a larval habitat; (D) air temperature; (E) air environmental RH; (F) wind speed; and (G) sunshine degree. Variables D, E, F and G were categorised here to make the corresponding graphics. The number above each bar is the absolute frequency of mosquitoes in this category.

opennotspecifiedMar 2016View details →
zenodo32/100

Figure 1 in Anuran assemblage in a rice field agroecosystem in the Pantanal of central Brazil

Figure 1. Average temperatures (dotted line), cumulative monthly rainfall (solid line), species richness (light bars) and abundance of anurans (black bars) recorded in rice fields of Fazenda San Francisco, Miranda, MS, Brazil, from May 2007 to March 2008. The asterisk (*) indicates the months when the fields were flooded.

opennotspecifiedApr 2010View details →
zenodo32/100

Figure 2 in Anuran assemblage in a rice field agroecosystem in the Pantanal of central Brazil

Figure 2. Absolute abundance of eight anuran species found in the rice fields of Fazenda San Francisco, Miranda, MS, Brazil, from May 2007 to March 2008.

opennotspecifiedApr 2010View details →
dryad32/100

The common ground in landscape effects on gene flow in two newt species in an agroecosystem

<p><span>Maintaining habitat connectivity is crucial for maintaining genetic diversity and reducing the risk of inbreeding depression in numerous species. Human-modified habitats pose a threat to population persistence, particularly for amphibians that require both aquatic and terrestrial habitats and often exhibit low dispersal capacity. In this study, we investigated the genetic structure and variation of two sympatric newt species, <em>Triturus</em> <em>cristatus</em> and <em>Lissotriton</em> <em>vulgaris</em>, in an urbanized and agricultural landscape. Using a multiscale resistance modeling approach, we evaluated how landscape features affect gene flow in both species. Our results confirmed that the less abundant <em>T. cristatus</em> exhibited more genetically distinct demes than the more common <em>L. vulgaris</em>, which showed a more subtle structure. Additionally, levels of genetic variation were lower in <em>T. cristatus</em> than in <em>L</em>. <em>vulgaris</em>, but with a similar spatial distribution pattern across shared ponds. We found that the proportion of managed grassland in the study area played a major role in reducing the level of connectivity in both species. Furthermore, considering multiple spatial scales proved to be effective in improving the fit of the landscape resistance models, with the largest scale (900 m) providing the best fit. In <em>T</em>. <em>cristatus</em>, areas with low proportions of trees or high proportions of crop fields negatively affected genetic connectivity. Notably, resistance surfaces optimized for each species were highly correlated. The intensively managed grassland lacked the structural heterogeneity necessary for newts. Therefore, switching to a more traditional management approach in the landscape to increase spatial patchiness at the scale of dispersal would benefit both species.</span></p>

opencc-zeroJun 2023View details →
dryad32/100

Influence of habitat quality and resource density on breeding-season female monarch butterfly (Danaus plexippus) movement and space use in north-central USA agroecosystem landscapes

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publicJan 2022View details →
dryad32/100

Data from: Hybrid coffee cultivars may enhance agroecosystem resilience to climate change

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publicFeb 2021View details →
dryad32/100

Citizen science improves our understanding of the impact of soil management on wild pollinator abundance in agroecosystems

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publicFeb 2020View details →
dryad32/100

Data from: Regional paleoclimates and local consequences: Integrating GIS analysis of diachronic settlement patterns and process-based agroecosystem modeling of potential agricultural productivity in Provence (France)

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publicDec 2018View details →
dryad32/100

Comparison of hand netting and pan trapping methods for estimating hover fly (Diptera: Syrphidae) diversity in the tropical agroecosystems of East Africa

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publicDec 2025View details →
dryad32/100

Untangling the web: How spider traits link with management practices in agroecosystems

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publicJun 2025View details →
dryad32/100

Data from: Mitigation of pollen limitation in the lowbush blueberry agroecosystem: effect of augmenting natural pollinators

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publicMay 2016View details →
dryad32/100

Data from: Application of ITS2 metabarcoding to determine the provenance of pollen collected by honey bees in an agroecosystem

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publicDec 2015View details →
dryad32/100

Data from: The challenge of accurately documenting bee species richness in agroecosystems: bee diversity in eastern apple orchards

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publicJun 2016View details →
dryad32/100

Data from: Feedbacks between nitrogen fixation and soil organic matter increase ecosystem functions in diversified agroecosystems

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publicJul 2019View details →

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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.

allen-brain-atlas
neuroscienceopenDocumentation, web resources, and API references are available online.
Last verified 2026-04-30Open record

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.

abode-home-cage
behavioral-neuroscienceopenThe DataShare record exposes download links for annotations, documentation, license text, and the zipped per-snippet data directory.
Last verified 2026-04-30Open record

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.

dandi-nwb
electrophysiologyopenPublished Dandiset metadata and archive endpoints are available through the production DANDI API.
Last verified 2026-04-30Open record

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.

ibl
behavioral-neuroscienceopenPublic sessions can be searched and loaded from the IBL public data server through ONE.
Last verified 2026-04-29Open record

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.

openneuro
neuroscienceopenPublished datasets are available on demand over the internet.
Last verified 2026-04-29Open record