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7,920 results for “implications”

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zenodo40/100

Data from the MA Thesis "Does She Talk Differently?: Exploring Implications of Gender in US Presidential and Vice Presidential Debates" and Coded Transcriptions of the 7 Analyzed Debates

<p>The raw data collected for the master's thesis "Does She Talk Differently?: Exploring Implications of Gender in US Presidential and Vice Presidential Debates", the tables and graphs created based on the data as well as the transcriptions for the seven debates analyzed for the research paper can be found in the files.</p>

opencc-by-4.0May 2024View details →
dryad40/100

Data from: Growth and longevity of the endangered freshwater pearl mussel (Margaritifera margaritifera): Implications for conservation and management

<p>Key life-history data, such as growth and age, are necessary to effectively manage and conserve threatened freshwater mussel species. Traditionally growth and age studies require large yet destructive sample sizes covering all age classes. Such methods pose a risk to populations of conservation concern, and therefore alternative methods that need only limited sample sizes are necessitated to prevent further threats to such populations. We applied retrospective shell growth at age reconstructions to 98 critically endangered freshwater pearl mussel (FPM) individuals from 34 populations across Finland and Sweden, enabling the use of extremely small sample sizes (n = 1–6 per population). We compared the performance of six different growth models with the reconstructed size-at-age data across FPM juvenile (&lt;20 years old) and adult life stages. The growth reconstruction model showed reasonable skill in reconstructing FPM growth patterns. The von Bertalanffy model was shown to be a good general descriptor of growth for FPM, but it systematically underestimated the asymptotic size. The power law model was the most accurate in estimating juvenile growth (lowest deviances from the size-at-age data). FPM showed great variability in longevity (A<sub>max</sub> = 54–254 years) and growth constant k (0.018– 0.057 year<sup>-1</sup>). Our results show that reasonable estimates of growth can be attained even when sample sizes are extremely limited. The results can be further applied to gain knowledge on the population's age structure, size at maturation, and recovery potential. The methodology is applicable to other freshwater mussel species of conservation concern.</p>

opencc-zeroMay 2024View details →
zenodo40/100

Species-specific differences in bumblebee worker body size between elevations: Implications for pollinator community structure under climate change

<p>Code and dataset for manuscript titled "<span>Species-specific differences in bumblebee worker body size between elevations: Implications for pollinator community structure under climate change". Authors: Caterina Massa, Janneke Hille Ris Lambers, Sarah K. Richman. Manuscript accepted to Journal of Pollination Ecology in May 2024. All data collected and analyzed by the authors.<br></span></p>

opencc-by-4.0May 2024View details →
zenodo40/100

Fig. 2. A in First population assessment of two cryptic Tiger Geckos (Goniurosaurus) from northern Vietnam: Implications for conservation

Fig. 2. A: Macrohabitat and B: Microhabit of Goniurosaurus luii in Ha Lang District, Cao Bang Province, North Vietnam; specimens of G. luii from C: Cao Bang Province and D: Lang Son Province (new record). Photos Mona van Schingen, Marta Bernardes, and Tao Thien Nguyen.

opencc-by-4.0Jul 2016View details →
zenodo40/100

Fig. 4. A in First population assessment of two cryptic Tiger Geckos (Goniurosaurus) from northern Vietnam: Implications for conservation

Fig. 4. A: Average population structure of Goniurosaurus catbaensis and a continental G. luii population from Cao Bang Province (May–August vs. June, respectively); B: Frequency histogram of Snout-vent length of G. catbaensis for the months May, July, and August.

opencc-by-4.0Jul 2016View details →
zenodo40/100

Fig. 3. A in First population assessment of two cryptic Tiger Geckos (Goniurosaurus) from northern Vietnam: Implications for conservation

Fig. 3. A: Macrohabitat of Goniurosaurus catbaensis at the coast of Cat Ba Island; B: Limestone cliffs, the typical microhabitat of G. catbaensis; C: Adult male of G. catbaensis marked for population assessment; D: First evidence for the occurrence of G. catbaensis within limestone cave of small offshore Island in Ha Long Bay archipelago. Photos Hai Ngo, Tao Thien Nguyen, and Minh Le Pham.

opencc-by-4.0Jul 2016View details →
zenodo40/100

Fig. 1 in First population assessment of two cryptic Tiger Geckos (Goniurosaurus) from northern Vietnam: Implications for conservation

Fig. 1. Distribution of the cryptic species Goniurosaurus catbaensis (gray circles) and G. luii (black circles): Filled circles represent study areas; dashed circle represents new record of G. luii; questions marks indicate former localities or sites where the current presence is unclear. Occurrence records were represented as big circles to prevent showing exact locality data.

opencc-by-4.0Jul 2016View details →
zenodo40/100

Figure 7 in Within-tree distribution and seasonal dynamics of Eutetranychus banksi and Euseius stipulatus (Acari: Tetranychidae, Phytoseiidae) on citrus: Implications for the biological control of the pest

Figure 7 Mean proportion of phytoseiids per leaf outside or inside the canopy (a), on the adaxial or abaxial side of the leaves (b), white or red coloured (c), and collected on fruits (d), whenE. banksi occurred or was absent. Capped bars represent ± standard error (SE). Significant differences are denoted with asterisks. Chi square contingency test:P &lt;0.001.

opencc-by-4.0Apr 2024View details →
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Figure 1 in Within-tree distribution and seasonal dynamics of Eutetranychus banksi and Euseius stipulatus (Acari: Tetranychidae, Phytoseiidae) on citrus: Implications for the biological control of the pest

Figure 1 Mean number ofE. banksi(a–d) and phytoseiid mites (e–h) per leaf or per cm2 of leaves and fruits. Capped bars represent ± standard error (SE). Bars with different letters are significantly different (Wilcoxon rank-sum test).

opencc-by-4.0Apr 2024View details →
zenodo40/100

Figure 5 in Within-tree distribution and seasonal dynamics of Eutetranychus banksi and Euseius stipulatus (Acari: Tetranychidae, Phytoseiidae) on citrus: Implications for the biological control of the pest

Figure 5 (a–d) Representation of the binomial (logit-link) generalized linear models (GLMs) showing the relationship between the proportion

opencc-by-4.0Apr 2024View details →
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Figure 3 in Within-tree distribution and seasonal dynamics of Eutetranychus banksi and Euseius stipulatus (Acari: Tetranychidae, Phytoseiidae) on citrus: Implications for the biological control of the pest

Figure 3 Seasonal relative abundance of motile forms of phytoseiid species in four (2018) and six (2019) citrus orchards. Percentage of each species per sampling is represented. The summer decline

opencc-by-4.0Apr 2024View details →
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Figure 4 in Within-tree distribution and seasonal dynamics of Eutetranychus banksi and Euseius stipulatus (Acari: Tetranychidae, Phytoseiidae) on citrus: Implications for the biological control of the pest

Figure 4 Variation in the spatial distribution and body coloration of phytoseiid in relation to the abundanceE. of banksi in four (2018) and six (2019) citrus orchards. Grey bars indicate the percentage of phytoseiids collected outside the canopy, on the leaf adaxial sides, fruits occupied by phytoseiids, and red phytoseiids (primary y-axis), in relation with the mean numberE of. banksi per leaf or fruit represented as a solid line (secondary, y-axis). Capped bars represent ± standard error (SE).

opencc-by-4.0Apr 2024View details →
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Figure 2 in Within-tree distribution and seasonal dynamics of Eutetranychus banksi and Euseius stipulatus (Acari: Tetranychidae, Phytoseiidae) on citrus: Implications for the biological control of the pest

Figure 2 Seasonal trends ofE. banksi and phytoseiid mites on leaves (solid line, first y-axis) and fruits (broken line, second y-axis) in four and six citrus orchards in 2018 and 2019 respectively. Mean number of mites collected per sampling unit (all the stages were pooled together). Note that first and second y-axis scales are different. Mean (solid line), maximum and minimum daily temperatures in °C (broken lines) and mean daily relative humidity (RH) were represented.

opencc-by-4.0Apr 2024View details →
zenodo40/100

Figure 4 in Effects of Palmer Amaranth (Amoronthus polmeri) Establishment Time and Distance from the Crop Row on Biological and Phenological Characteristics of the Weed: Implications on Soybean Yield

Figure 4. Effects of the interaction of weed establishment time and distance from the crop row on Amoronthus polmeri dry weight before soybean harvest. Vertical bars represent ± standard error of the mean (SE2014 = 1.27; SE2015 = 0.74) from the analysis for comparisons between weed establishment times with sample size n = 72. WAE, weeks after soybean emergence.

opencc-by-4.0Jan 2019View details →
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Figure 3 in Effects of Palmer Amaranth (Amoronthus polmeri) Establishment Time and Distance from the Crop Row on Biological and Phenological Characteristics of the Weed: Implications on Soybean Yield

Figure 3. Effects of the interaction of weed establishment time and distance from the crop on Amoronthus polmeri plant height at harvest. Vertical bars represent ± standard error of the mean (SE2014 = 4.68; SE2015 = 3.14) from the analysis for comparisons between weed establishment times with sample size n = 72. WAE, weeks after soybean emergence.

opencc-by-4.0Jan 2019View details →
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Figure 7 in Effects of Palmer Amaranth (Amoronthus polmeri) Establishment Time and Distance from the Crop Row on Biological and Phenological Characteristics of the Weed: Implications on Soybean Yield

Figure 7. Relationship between ground cover and extinction coefficient for each sampling date (n = 12 plots) throughout the 2014 growing season. WAE, weeks after soybean emergence.

opencc-by-4.0Jan 2019View details →
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Figure 2 in Effects of Palmer Amaranth (Amoronthus polmeri) Establishment Time and Distance from the Crop Row on Biological and Phenological Characteristics of the Weed: Implications on Soybean Yield

Figure 2. Soybean and Amoronthus polmeri (AMAPA) height (averaged across distance from the crop) at 0, 1, 2, 4, 6, and 8 wk after soybean emergence (WAE) (i.e., AMAPA-0, AMAPA-1, AMAPA-2, AMAPA-4, AMAPA-6, and AMAPA-8, respectively). Vertical bars represent ± standard error of the mean from the analysis for comparisons within each sampling date (i.e., n = 12 for 0 WAE, 24 for 1 WAE, etc.).

opencc-by-4.0Jan 2019View details →
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Figure 9 in Effects of Palmer Amaranth (Amoronthus polmeri) Establishment Time and Distance from the Crop Row on Biological and Phenological Characteristics of the Weed: Implications on Soybean Yield

Figure 9. Effects of weed establishment time on soybean yield averaged across Amoronthus polmeri distances from the crop row. Dashed lines indicate the confidence intervals at 95% confidence level (sample size n = 72). WAE, weeks after soybean emergence.

opencc-by-4.0Jan 2019View details →
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Figure 10 in Effects of Palmer Amaranth (Amoronthus polmeri) Establishment Time and Distance from the Crop Row on Biological and Phenological Characteristics of the Weed: Implications on Soybean Yield

Figure 10. Effects of Amoronthus polmeri distance from the soybean row on crop yield averaged across A. polmeri establishment times. Vertical bars represent ± standard error of the mean (SE2014 = 337.45; SE2015 = 207.14) from the analysis for comparisons between A. polmeri distances from the crop with sample size n = 72.

opencc-by-4.0Jan 2019View details →
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Figure 6 in Effects of Palmer Amaranth (Amoronthus polmeri) Establishment Time and Distance from the Crop Row on Biological and Phenological Characteristics of the Weed: Implications on Soybean Yield

Figure 6. Effects of weed establishment time on Amoronthus polmeri (AMAPA) flowering (averaged across distance from the crop) at various sampling occasions for 0, 1, 2, 4, 6, and 8 wk after soybean emergence (WAE) (i.e., AMAPA-0, AMAPA-1, AMAPA-2, AMAPA-4, AMAPA-6, and AMAPA-8 respectively) in 2014 and 2015. Vertical bars represent ± standard error of the mean (i.e., flowering of the entire A. polmeri population was evaluated at each sampling occasion) from the analysis for comparisons within each sampling date (i.e., n = 12 plots for 0 WAE, 24 plots for 1 WAE, 36 plots for 2 WAE, etc.).

opencc-by-4.0Jan 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

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