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203
datasets available to search
ShareScore release 0.7.1
Dataset results
203 results for “water stress”
RNA-seq, miRNA-seq, and degradome-seq analysis of taproots and lateral roots of Quercus robur seedlings under well-watered and drought stress conditions [miRNA-seq]
GEO Series GSE295320. Quercus robur. 12 samples. Type: Non-coding RNA profiling by high throughput sequencing.
iPOTs: Internet of Things-based pot system controlling optional treatment of soil water condition for plant phenotyping under drought stress
GEO Series GSE171578. Oryza sativa. 36 samples. Type: Expression profiling by high throughput sequencing.
RNA-seq, miRNA-seq, and degradome-seq analysis of taproots and lateral roots of Quercus robur seedlings under well-watered and drought stress conditions [RNA-seq]
GEO Series GSE295319. Quercus robur. 12 samples. Type: Expression profiling by high throughput sequencing.
Transcriptome analysis of the primary roots of Alhagi sparsifolia in response to water stress
GEO Series GSE62174. Alhagi sparsifolia. 4 samples. Type: Expression profiling by high throughput sequencing.
Effect of water stress, high light, heat stress and their factorail stress combinations on transcriptome of Carrizo citrange and Cleopatra mandarin
GEO Series GSE203331. Citrus sinensis. 48 samples. Type: Expression profiling by high throughput sequencing.
Utilization of transcriptome, small RNA, and degradome sequencing to provide insights into drought stress and re-watering treatment in Medicago ruthenica (RNA-seq)
GEO Series GSE168920. Medicago ruthenica. 9 samples. Type: Expression profiling by high throughput sequencing.
Differential gene expression profile between two sunflower inbred lines with different ability to tolerate water stress
GEO Series GSE128556. Helianthus annuus. 32 samples. Type: Expression profiling by array.
Detection of Active Transposable Elements using Mobilome-seq on Poplar WT and ddm1 meristems in water stress conditions
GEO Series GSE147934. Populus tremula x Populus alba. 6 samples. Type: Other.
RNA-seq, miRNA-seq, and degradome-seq analysis of taproots and lateral roots of Quercus robur seedlings under well-watered and drought stress conditions [degradome]
GEO Series GSE295322. Quercus robur. 6 samples. Type: Expression profiling by high throughput sequencing.
Molecular aspects of the role of root hairs during water stress in barley
GEO Series GSE73789. Hordeum vulgare. 44 samples. Type: Expression profiling by array.
Data from: Assimilating MODIS data-derived minimum input data set and water stress factors into CERES-Maize model improves regional corn yield predictions
Crop growth models and remote sensing are useful tools for predicting crop growth and yield, but each tool has inherent drawbacks when predicting crop growth and yield at a regional scale. To improve the accuracy and precision of regional corn yield predictions, a simple approach for assimilating Moderate Resolution Imaging Spectroradiometer (MODIS) products into a crop growth model was developed, and regional yield prediction performance was evaluated in a major corn-producing state, Illinois, USA. Corn growth and yield were simulated for each grid using the Crop Environment Resource Synthesis (CERES)-Maize model with minimum inputs comprising planting date, fertilizer amount, genetic coefficients, soil, and weather data. Planting date was estimated using a phenology model with a leaf area duration (LAD)-logistic function that describes the seasonal evolution of MODIS-derived leaf area index (LAI). Genetic coefficients of the corn cultivar were determined to be the genetic coefficients of the maturity group [included in Decision Support System for Agrotechnology Transfer (DSSAT) 4.6], which shows the minimum difference between the maximum LAI derived from the LAD-logistic function and that simulated by the CERES-Maize model. In addition, the daily water stress factors were estimated from the ratio between daily leaf area/weight growth rates estimated from the LAD-logistic function and that simulated by the CERES-Maize model under the rain-fed and auto-irrigation conditions. The additional assimilation of MODIS data-derived water stress factors and LAI under the auto-irrigation condition showed the highest prediction accuracy and precision for the yearly corn yield prediction (R2 is 0.78 and the root mean square error is 0.75 t ha-1). The present strategy for assimilating MODIS data into a crop growth model using minimum inputs was successful for predicting regional yields, and it should be examined for spatial portability to diverse agro-climatic and agro-technology regions.
Lithia Water Study: Effects of Lithia Water on BDNF and Oxidative Stress Markers in Healthy Male Participants
ClinicalTrials.gov study NCT01257867. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Drinking Effect of Electrolyzed Alkaline Reduced Water on Oxidative Stress and Fatigue After Intense Exercise
ClinicalTrials.gov study NCT05673395. IPD Sharing: NO. Countries: 1. Publications: 0.
Insights into the stress response of Escherichia coli biofilms upon Plasma-activated water treatment.
GEO Series GSE264631. Escherichia coli. 16 samples. Type: Expression profiling by high throughput sequencing.
Data from: Assimilating MODIS data-derived minimum input data set and water stress factors into CERES-Maize model improves regional corn yield predictions
Open the record for dataset details and reuse information.
Long-term Salt & Water Stress in Grapes
GEO Series GSE31677. Vitis vinifera. 39 samples. Type: Expression profiling by array.
Utilization of transcriptome, small RNA, and degradome sequencing to provide insights into drought stress and re-watering treatment in Medicago ruthenica (miRNA-seq)
GEO Series GSE169022. Medicago ruthenica. 9 samples. Type: Non-coding RNA profiling by high throughput sequencing.
The role of DELLA protein in tomato plant response to water-deficit stress
GEO Series GSE143999. Solanum lycopersicum. 9 samples. Type: Expression profiling by high throughput sequencing.
Differential regulation of primary root growth during water-deficit stress in cotton
GEO Series GSE221295. Gossypium hirsutum. 12 samples. Type: Expression profiling by high throughput sequencing.
Affymetrix Cotton Genome array expression data of root tissue of Gossypium herbaceum under drought stress and watered condition
GEO Series GSE36249. Gossypium herbaceum; Gossypium arboreum; Gossypium barbadense; Gossypium raimondii; Gossypium hirsutum. 12 samples. Type: Expression profiling by array.
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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.