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75
datasets available to search
ShareScore release 0.9.0
Dataset results
75 results for “biological interactions”
Global ovary gene interaction network structure informs biological effects of Chemical stressors
GEO Series GSE70936. Pimephales promelas. 1470 samples. Type: Expression profiling by array.
Multiple cellular compartments engagement in Nicotiana benthamiana-peanut stunt virus-satRNA interactions revealed by systems biology approach
GEO Series GSE128200. Nicotiana benthamiana. 12 samples. Type: Non-coding RNA profiling by high throughput sequencing.
Chromatin Conformation Capture in two biological replicates of K562 cells to identify interactions between tRNA genes in human cells.
GEO Series GSE31105. Homo sapiens. 2 samples. Type: Other.
Synthetic lethal interactions and convergent biological effects underlie the mutual exclusivity of MDS-associated spliceosomal gene mutations
GEO Series GSE97452. Mus musculus. 27 samples. Type: Expression profiling by high throughput sequencing.
Analysis of promoter-associated chromatin interactions reveals biologically relevant candidate target genes at endometrial cancer risk loci
GEO Series GSE137936. Homo sapiens. 4 samples. Type: Genome binding/occupancy profiling by high throughput sequencing.
Figure 2 from: Heger T, Zarrieß S, Algergawy A, Jeschke JM, König-Ries B (2022) INAS: Interactive Argumentation Support for the Scientific Domain of Invasion Biology. Research Ideas and Outcomes 8: e80457. https://doi.org/10.3897/rio.8.e80457
Figure 2 The main architecture of INAS.
Figure 1 from: Rasoloariniaina JR, Ganzhorn JU, Riemann JC, Raminosoa N (2016) Water quality and biotic interaction of two cavefish species: Typhleotris madagascariensis Petit, 1933 and Typhleotris mararybe Sparks & Chakrabarty, 2012, in the Mahafaly Plateau groundwater system, Madagascar. Subterranean Biology 18: 1-16. https://doi.org/10.3897/subtbiol.18.8321
Figure 1 - Study area and survey sites for Typhleotris spp.
Comprehensive Assessment of Morphometric, Functional, Biomechanical and Biological Interactions Between Atherosclerotic Plaque and Platelets Within the Stenosed Coronary Artery
ClinicalTrials.gov study NCT06275399. IPD Sharing: NO. Countries: 1. Publications: 0.
OnPLS-based multi-block data integration: a multivariate approach to interrogating biological interactions in asthma
GEO Series GSE114669. Homo sapiens. 22 samples. Type: Expression profiling by array.
A New Role for Huntingtin-Interacting Protein 1-Related (HIP1R) in Rheumatoid Arthritis Synovial Fibroblast Transcriptomic, Biological Processes and Invasiveness
GEO Series GSE278613. Homo sapiens. 9 samples. Type: Expression profiling by high throughput sequencing.
Vegetative traits, floral biology, and mutualistic interactions in the tropical mountain shrub Ribes ciliatum (Grossulariaceae)
<p>This data set includes measurements of <span>the vegetative and reproductive traits of <em>Ribes ciliatum</em></span> in fir and subalpine forests at Nevado de Colima National Park, Mexico.</p>
Single-molecule fingerprinting of protein-drug interaction using a funneled biological nanopore
<p>This dataset belongs to “Single-molecule fingerprinting of protein-drug interaction using a funneled biological nanopore” and describes the raw micrograph dataset from negative-stain electron microscopy for YaxAB-C8, -C9, -C10.</p>
Use of Dual RNA-seq for Systems Biology Analysis of Zea mays and Aspergillus flavus plant microbe interaction
GEO Series GSE101899. Aspergillus flavus; Zea mays. 112 samples. Type: Expression profiling by high throughput sequencing.
Data for the manuscript 'Biological response to the interaction of a mesoscale eddy and the river plume in the northern South China Sea'
<p>Satellite data includes daily sea-level anomaly from AVISO, daily surface chlorophyll a data from OC-CCI and sea surface salinity obtained from SMAP. Model simulated daily current, temperature, salinity, chlorophyll and nitrate concentration for three experiments (control, case1 and case2) from our coupled physical-biological model of the South China Sea . For chlorophyll and nitrate concentration, the dataset also includes the 16-day averaged budget terms along section S1. The modeled lagrangian particl tracking data is also avaiable.</p>
Supplementary materials for "The importance of biological variables in SDMs of species with strict interactions: a case study with a hairworm and its hosts"
<p>Species distribution model (SDM) has conventionally been based mainly on abiotic factors, i.e., temperature and precipitation variables. Although recent studies have shown that incorporating biotic factors may improve the model performance, only few empirical studies could effectively incorporate biotic factors in SDMs. Here we used a parasite and host system to investigate whether incorporating biotic information can improve SDM. Specifically, SDM of the parasite based on hosts’ distributions can be helpful because the distribution of the parasite may depend on the dispersal ability of the hosts. We evaluated the most important layer, including the SDMs of its three hosts, for predicting the distribution of the parasitic horsehair worm <em>Chordodes formosanus</em>.<br> We retrieved presence points for three host species and the parasite. We first built the three hosts’ SDMs. We subsequently built SDMs for the parasite with MaxEnt implemented in ENMeval by using bioclim variables (chosen according to VIF values) and the aforementioned host SDMs built at 30 seconds scale. In addition, we evaluated niche overlap among hosts and parasite according to five similarity indices (Schoener’s D, I statistic, relative rank, Pearson correlation coefficient and the rank correlation coefficient rho).<br> According to percentage and permutation importance, the presence of the Taiwanese giant mantis, <em>Titanodula formosana</em>, was the main variable that explained the distribution of <em>C. formosanus</em>. In addition, habitat suitability models showed high similarity between hosts and the parasite, according to niche overlap estimations.<br> Accounting for biological interaction is critical for SDM as shown here that the distribution of the main final host effectively predicts the distribution of the parasite. Additionally, SDMs can be helpful to prioritize host sampling and by consequence parasite sampling, too. SDMs are reliable tools for host and parasite conservation management and it is hoped their use will help to improve biological and ecological knowledge of parasites.</p>
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.