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.
445
datasets available to search
ShareScore release 0.9.0
Dataset results
445 results for “Abiotic”
Expression data in response to abiotic stresses in tomato at flowering stage
GEO Series GSE22304. Solanum lycopersicum. 24 samples. Type: Expression profiling by array.
Transcriptome analysis of response to exogenous trehalose and abiotic stress in grapes
GEO Series GSE276430. Vitis vinifera. 24 samples. Type: Expression profiling by high throughput sequencing.
Genome-wide characterization of maize small RNA loci and their regulation in the required to maintain repression6-1 (rmr6-1) mutant and long-term abiotic stresses
GEO Series GSE70487. Zea mays. 50 samples. Type: Non-coding RNA profiling by high throughput sequencing.
Transcriptome profiling of abiotic responses to heat, cold, salt, and osmotic stress of Capsicum annuum L.
GEO Series GSE132824. Capsicum annuum. 78 samples. Type: Expression profiling by high throughput sequencing.
Transgenerational tolerance to abiotic stresses induced by plant virus infection
GEO Series GSE214636. Nicotiana benthamiana. 12 samples. Type: Expression profiling by high throughput sequencing.
CsIND regulates vascular formation and resistance to biotic and abiotic stresses in cucumber (Cucumis sativus L.)
GEO Series GSE86496. Cucumis sativus. 8 samples. Type: Expression profiling by high throughput sequencing.
Genome-wide profiling of small RNAs in rice under abiotic stresses
GEO Series GSE26357. Oryza sativa. 4 samples. Type: Non-coding RNA profiling by high throughput sequencing.
AtBRO1, BRO1-like domain-containing protein, modulates growth and abiotic stress responses in Arabidopsis
GEO Series GSE225062. Arabidopsis thaliana. 18 samples. Type: Expression profiling by high throughput sequencing.
Transcriptome profiling of lettuce plants exposed to abiotic stresses
GEO Series GSE241604. Lactuca sativa. 53 samples. Type: Expression profiling by high throughput sequencing.
Reactive leaf volatiles act as powerful inducers of abiotic stress-related gene expression
GEO Series GSE64356. Arabidopsis thaliana. 8 samples. Type: Expression profiling by array.
Genomic profile of maize response to A. flavus infection identifies genes associated with biotic and abiotic resistance
GEO Series GSE9546. Zea mays. 8 samples. Type: Expression profiling by array.
Differential regulation of flower transpiration during abiotic stress in plants
GEO Series GSE186317. Glycine max. 12 samples. Type: Expression profiling by high throughput sequencing.
The immune NIK1/RPL10/LIMYB signaling module regulates photosynthesis and translation under biotic and abiotic stresses
GEO Series GSE294149. Arabidopsis thaliana. 12 samples. Type: Expression profiling by high throughput sequencing.
Data: Abiotic niche divergence of homoploid hybrid species from their progenitors
<p class="15"><span>Although more frequently reported recently than was previously expected, the role of ecology in the speciation of homoploid hybrid species (HHS) has not been quantitatively evaluated. We examined divergences in the niches of 22 assumed HHS (18 plants and four animals) from those of their progenitors using 52097 occurrences and 26 environmental factors (temperature, precipitation, altitude and soil). We identified three niche divergence patterns in HHS, niche novelty, niche contraction and niche intermediacy, by estimating niche overlap and niche breadth. Niche novelty, found in 16 HHS, is the commonest pattern, <span>in which HHS occupied new habitats and a range geographically isolated from those of the progenitors, with low niche overlap and small niche breadth. </span>Our study indicates that ecological divergence contributes greatly to the establishment of HHS and suggests that increasing habitat disturbance and the predicted climate change that may create new niches will accelerate the future production of HHS.</span></p>
Data from: Abiotic and biotic predictors of macroecological patterns in bird and butterfly coloration
Animal color phenotypes are invariably influenced by both their biotic community and the abiotic environments. A host of hypotheses have been proposed for how variables such as solar radiation, habitat shadiness, primary productivity, temperature, rainfall and community diversity might affect animal color traits. However, while individual factors have been linked to coloration in specific contexts, little is known about which factors are most important across broad taxonomic and geographic scales. Using data collected from 570 species of birds and 424 species of butterflies from Australia which inhabit an area spanning a latitudinal range of 35 degrees and covering deserts, tropical and temperate forests, savannas and heathlands, we test multiple hypotheses from the coloration literature and assess their relative importance. We show that bird and butterfly species exhibit more reflective and less saturated colors in better-lit environments, a pattern that is robust across an array of variables expected to influence the intensity or quality of ambient light in an environment. Both taxa display more diverse colors in regions with greater net primary production and longer growing seasons. Models that included variables related to energy inputs and resources in ecosystems have better explanatory power for bird and butterfly coloration overall than do models that included community diversity metrics. However, the diversity of the bird community in an environment was the single most powerful predictor of color pattern variation in both birds and butterflies. We observed strong similarities across taxa in the covariance between color and environmental factors, suggesting the presence of fundamental macro-ecological drivers of visual appearance across disparate taxa.
Figure 3 in The effect of some abiotic factors on morphometrical parameters of the female stage of the Rhizoglyphus robini (Astigmata: Acaridae) in the saffron field
Figure 3. Linear graph of the temperature effect on morphological traits in the saffron bulb mite.
Figure 4 in The effect of some abiotic factors on morphometrical parameters of the female stage of the Rhizoglyphus robini (Astigmata: Acaridae) in the saffron field
Figure 4. Non-linear graph of time effect on morphometrical parameters of the saffron bulb mite.
Data files of Carteron et al. "Soil abiotic and biotic properties constrain the establishment of a dominant temperate tree into boreal forests" in Journal of Ecology
<p>There are five data files use for the analysis present in the article of Carteron et al "Soil abiotic and biotic properties constrain the establishment of a dominant temperate tree into boreal forests" in Journal of ecology. These files are used in R script available in GituHub.</p> <p>GPS_megantic.csv: contains locations of the study plots</p> <p>colo_as.csv: Contains a summary of the root colonization by fungi</p> <p>colo.csv : Contains all the data of the root colonization by fungi</p> <p>colo.rdata: Contains all the data of the root colonization by fungi in Rdata format</p> <p>soil_thick.csv : Contains soil horizon thickness measured on the field</p> <p>traits_as.csv: Contains the traits measured on the sugar maple seedlings</p>
Figure 3 in Diurnal vertical distribution of zooplankton in a newly formed reservoir (Tahtalı Reservoir, Kocaeli): the role of abiotic factors and chlorophyll a
Figure 3. Distribution of zooplankton sampled on 22 and 23 May 2010 from the Tahtalı Reservoir.
Arabidopsis mRNA export factor MOS11: molecular interactions and role in abiotic stress responses
GEO Series GSE247811. Arabidopsis thaliana. 28 samples. Type: Expression profiling by high throughput sequencing.
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.