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.
865
datasets available to search
ShareScore release 0.9.0
Dataset results
865 results for “Germination”
Figure 2 in Effect of water stress on weed germination, growth characteristics, and seed production: a global meta-analysis
Figure 2. Overall water-stress effects on weed germination/emergence, growth characteristics, and seed production. The vertical black dashed line represents zero effect. The black dots are overall mean effect sizes, and the black lines are 95% confidence intervals (CIs). The values in parentheses are the number of observations followed by the number of studies for each pair-wise comparison. The mean effect sizes were considered significantly different when their 95% CIs did not include zero.
Figure 5 in Effect of environmental factors on the germination and emergence of drunken horse grass (Achnotherum inebrions)
Figure 5. Effect of osmotic potential on the germination of Achnotherum inebrions seeds at 25 C. Vertical bars represent the standard error of the mean, and a logistic sigmoidal regression model is fit to the data.
Figure 6 in Effect of environmental factors on the germination and emergence of drunken horse grass (Achnotherum inebrions)
Figure 6. Germination of Achnotherum inebrions seeds at low osmotic potential. The vertical bars represent the standard error of the mean. Bars with the same letters indicate that there are no significant differences in the mean values by Fisher's protected LSD test (P ≤ 0.05).
Figure 7 in Effect of environmental factors on the germination and emergence of drunken horse grass (Achnotherum inebrions)
Figure 7. Effect of burial depth on the emergence of A. inebrions seeds at 25 C. Vertical bars represent the standard error of the mean,and a logistic sigmoidal regression model is fit to the data.
Figure 5 in Effect of water stress on weed germination, growth characteristics, and seed production: a global meta-analysis
Figure 5. The log response ratio for weed growth characteristics (plant height, leaf area, branches/tillers per plant, leaves per plant,root biomass, shoot biomass, and root:shoot ratio) and seed production (inflorescences per plant and seeds per plant) as a function of water-stress intensity. Water stress increased as soil moisture (% field capacity) decreased and vice versa. The green and red dots represent broadleaf and grass weed species, respectively. The solid black points and the lines represent mean effect sizes and their 99% confidence intervals (CIs) for low (>60%), moderate (30%–60%), and severe (<30% field capacity) water-stress subgroups. The mean effect sizes were considered significantly different when their 99% CIs did not include zero. Similarly, the water-stress effects were significantly different for each subgroup and among weed types only when their 99% CIs did not overlap with one another.
Figure 4 in Effect of environmental factors on the germination and emergence of drunken horse grass (Achnotherum inebrions)
Figure 4. Effect of buffered pH solutions on the germination of Achnotherum inebrions seeds at 25 C. The vertical bars represent the standard error of the mean. Bars with the same letters indicate that there are no significant differences in the mean values by Fisher's protected LSD test (P ≤ 0.05).
Figure 3 in Effect of environmental factors on the germination and emergence of drunken horse grass (Achnotherum inebrions)
Figure 3. Effects of different photoperiods on the germination of Achnotherum inebrions seeds under 25 C culture conditions. Bars with the same letters indicate that there are no significant differences in the mean values by Fisher's protected LSD test (P ≤ 0.05).
Figure 2 in Effect of environmental factors on the germination and emergence of drunken horse grass (Achnotherum inebrions)
Figure 2. Effect of rewarming on the germination of Achnotherum inebrions seeds at 30/20 C. Rewarming refers to the transfer of ungerminated seeds kept under a constant temperature of 10, 35, or 40 C to a growth chamber set at the optimal temperature, 25 C (CK). The vertical bars represent the standard error of the mean. Bars with
Figure 1 in Effect of environmental factors on the germination and emergence of drunken horse grass (Achnotherum inebrions)
Figure 1. Effect of rewarming on the germination of Achnotherum inebrions seeds at 25 C. Rewarming refers to the transfer of ungerminated seeds kept under a constant temperature of 10, 35, or 40 C to a growth chamber set at the optimal temperature, 25 C (CK). The vertical bars represent the standard error of the mean. Bars with the same
Figure 3 in Filtrates from cultures of endophytic fungi isolated from leaves of Copaifera oblongifolia (Fabaceae) affect germination and seedling development differently
Figure 3. Variations (mean ± standard error) of aerial mass (A), root mass (B) and total seedling mass (C) of Copaifera oblongifolia as a function of treatments with inoculation of different species of endophytic fungi. Different letters on the bars indicate statistical variations between treatments (P <0.05) according contrast analysis
Figure 1 in Filtrates from cultures of endophytic fungi isolated from leaves of Copaifera oblongifolia (Fabaceae) affect germination and seedling development differently
Figure 1. Variations (mean ± standard error) of the germination percentage (A) and the time required for germination (B) of Copaifera oblongifolia seeds as a function of treatments with inoculation of different species of endophytic fungi. Different letters on the bars indicate statistical variations between treatments (P <0.05) according contrast analysis.
Figure 4 in Filtrates from cultures of endophytic fungi isolated from leaves of Copaifera oblongifolia (Fabaceae) affect germination and seedling development differently
Figure 4. The relationship between aerial mass (A), root mass (B) and total seedling mass (C) with seed mass of Copaifera oblongifolia.
Figure 5 in Germination responses of the invasive hedge cactus (Cereus uruguoyonus) to environmental factors
Figure 5. Seed survival of two Cereus uruguoyonus accessions under controlled aging at 60% relative humidity and 45 C. Parameter estimates for the negative logistic regression model fit to the data are given in Table 1.
Figure 2 in Germination responses of the invasive hedge cactus (Cereus uruguoyonus) to environmental factors
Figure 2. Effect of salt stress on the cumulative germination of four seed accessions of Cereus uruguoyonus. Values with the same letter do not differ at a 5% level of significance.
Figure 3 in Germination responses of the invasive hedge cactus (Cereus uruguoyonus) to environmental factors
Figure 3. Effect of water stress on the cumulative germination of four seed accessions of Cereus uruguoyonus. Values with the same letter do not differ at a 5% level of significance.
Figure 1 in Herbicide response and germination behavior of two goosegrass (Eleusine indica) populations in the Australian environment
Figure 1. Effect of paraquat dose on (A) seedling survival, (B) spike number (percent of nontreated control), and (C) aboveground biomass (percent of nontreated control) of the two Australian populations (Gatton and Ingham) of Eleusine indica. Error bars represent the standard error of the mean.
Figure 5 in Herbicide response and germination behavior of two goosegrass (Eleusine indica) populations in the Australian environment
Figure 5. Effect of osmotic potential on the germination of the two Australian populations (Gatton and Ingham) of Eleusine indica incubated under alternating light/ dark for 28 d at 30/20 C.The lines represent a three-parameter sigmoid model fit to the germination data in response to concentrations of osmotic potentials.
Figure 3 in Herbicide response and germination behavior of two goosegrass (Eleusine indica) populations in the Australian environment
Figure 3. Effect of light/dark regimes on the germination of the two Australian populations (Gatton and Ingham) populations of Eleusine indica. Seeds were incubated for 28 d at alternating day/night temperatures of 30/20 C. Error bars represent the LSD at the 5% level of significance.
Figure 4 in Herbicide response and germination behavior of two goosegrass (Eleusine indica) populations in the Australian environment
Figure 4. Effect of sodium chloride concentration on the germination of the two Australian populations (Gatton and Ingham) of Eleusine indica incubated under alternating light/dark for 28 d at 30/20 C.The lines represent a three-parameter logistic model fit to the germination data in response to sodium chloride concentrations.
Figure 2 in Herbicide response and germination behavior of two goosegrass (Eleusine indica) populations in the Australian environment
Figure 2. Effect of alternating day/night temperatures (15/5 to 35/25 C) on the germination of the two Australian populations (Gatton and Ingham) of Eleusine indica. Error bars represent the LSD at the 5% level of significance.
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.