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226
datasets available to search
ShareScore release 0.9.0
Dataset results
226 results for “growth model”
Placental growth factor as potential target against hepatocellular carcinoma in an orthotopic mouse model.
GEO Series GSE35289. Mus musculus. 24 samples. Type: Expression profiling by array.
MYC promotes aggressive growth and metastasis of a WNT-medulloblastoma mouse model
GEO Series GSE227631. Mus musculus. 9 samples. Type: Expression profiling by high throughput sequencing.
Csac growth on model substrates found in lignocellulose
GEO Series GSE17427. Caldicellulosiruptor saccharolyticus. 5 samples. Type: Expression profiling by array.
Highly selective HSP90 inhibitor, pimitespib, demonstrates its potent growth suppressive activity to adult T-cell leukemia in preclinical models (ED).
GEO Series GSE168552. Homo sapiens. 6 samples. Type: Expression profiling by array.
Reexpression of LSAMP inhibits tumor growth in a preclinical osteosarcoma model
GEO Series GSE52089. Homo sapiens. 9 samples. Type: Expression profiling by array.
Primary tumor grafts as advanced models for breast cancer that authentically reflect tumor histopathology, growth, metastasis, and patient outcomes (copy number)
GEO Series GSE32530. Homo sapiens. 24 samples. Type: Genome variation profiling by SNP array.
Data from: Models of knot and stem development in black spruce trees indicate a shift in allocation priority to branches when growth is limited
The branch autonomy principle, which states that the growth of individual branches can be predicted from their morphology and position in the forest canopy irrespective of the characteristics of the tree, has been used to simplify models of branch growth in trees. However, observed changes in allocation priority within trees towards branches growing in light-favoured conditions, referred to as 'Milton's Law of resource availability and allocation,' have raised questions about the applicability of the branch autonomy principle. We present models linking knot ontogeny to the secondary growth of the main stem in black spruce (Picea mariana (Mill.) B.S.P.), which were used to assess the patterns of assimilate allocation over time, both within and between trees. Data describing the annual radial growth of 445 stem rings and the three-dimensional shape of 5,377 knots were extracted from optical scans and X-ray computed tomography images taken along the stems of 10 trees. Total knot to stem area increment ratios (KSR) were calculated for each year of growth, and statistical models were developed to describe the annual development of knot diameter and curvature as a function of stem radial increment, total tree height, stem diameter, and the position of knots along an annual growth unit. KSR varied as a function of tree age and of the height to diameter ratio of the stem, a variable indicative of the competitive status of the tree. Simulations of the development of an individual knot showed that an increase in the stem radial growth rate was associated with an increase in the initial growth of the knot, but also with a shorter lifespan. Our results provide support for 'Milton's Law,' since they indicate that allocation priority is given to locations where the potential return is the highest. The developed models provided realistic simulations of knot morphology within trees, which could be integrated into a functional-structural model of tree growth and above-ground resource partitioning.
Data from: Beyond thermal performance curves: modeling time-dependent effects of thermal stress on ectotherm growth rates
Thermal performance curves have been widely used to model the ecological responses of ectotherms to variable thermal environments and climate change. Such models ignore the effects of time dependence—the temporal pattern and duration of temperature exposure—on performance. We developed and solved a simple mathematical model for growth rate of ectotherms, combining thermal performance curves for ingestion rate with the temporal dynamics of gene expression and protein production in response to high temperatures to predict temporal patterns of growth rate in constant and diurnally fluctuating temperatures. We used the model to explore the effects of heat shock proteins on larval growth rates of Manduca sexta. The model correctly captures two empirical patterns for larval growth rate: first, maximal growth rate and optimal temperature decline with increasing duration of temperature exposure; second, mean growth rates decline with time in diurnally fluctuating temperatures at higher mean temperatures. These qualitative results apply broadly to cases where proteins or other molecules produced in response to high temperatures reduce growth rates. We discuss some of the critical assumptions and predictions of the model and suggest potential extensions and alternatives. Incorporating time-dependent effects will be essential for making more realistic predictions about the physiological and ecological consequences of temperature fluctuations and climate change.
Selected data analysed in the JGR Atmosphere manuscript "Noah-MP with the generic crop growth model Gecros in the WRF model: Effects of dynamic crop growth on land-atmosphere interaction"
<p>This depository contains the simulated 3-hr data of 2m-temperature (tas), latent heat flux (hfls), sensible heat flux (hfss), soil moisture (mros) of the top 1 m, convective available potential energy (cape), convection inhibition (cin), leaf area index (lai) for the model domain, which centers Germany. Further it contains the namelist.input of the WRF simulations of the CTRL and EXP_CROP run. The simulations are described in the manuscript "Noah-MP with the generic crop growth model Gecros in the WRF model: Effects of dynamic crop growth on land-atmosphere interaction" by Warrach-Sagi et al., 2022</p>
Artificial Intelligence Model for Growth Prediction of Ovarian Cancer Organoids
ClinicalTrials.gov study NCT06317610. IPD Sharing: NO. Countries: 1. Publications: 0.
Exercise-induced Ischemia and the Influence of Pain Modulation in a Nerve Growth Factor (NGF) Model
ClinicalTrials.gov study NCT03844243. IPD Sharing: NO. Countries: 1. Publications: 0.
Constructing an Insulin-Like Growth Factor-based Prediction Model
ClinicalTrials.gov study NCT00263445. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Comprehensive Characterization of 3D Models for Prostate Cancer Growth and Invasion in Laminin-rich Extracellular Matrix
GEO Series GSE19426. Homo sapiens. 54 samples. Type: Expression profiling by array.
Targeted inducible delivery of immunoactivating cytokines reprograms glioblastoma microenvironment and inhibits growth in mouse models [scRNA-seq]
GEO Series GSE173645. Mus musculus. 9 samples. Type: Expression profiling by high throughput sequencing.
Data from: Beyond thermal performance curves: modeling time-dependent effects of thermal stress on ectotherm growth rates
Open the record for dataset details and reuse information.
Data from: Models of knot and stem development in black spruce trees indicate a shift in allocation priority to branches when growth is limited
Open the record for dataset details and reuse information.
Postnatal Growth Restriction and Gene Expression Changes in a Mouse Model of Fetal Alcohol Syndrome (Liver)
GEO Series GSE23106. Mus musculus. 7 samples. Type: Expression profiling by array.
Highly selective HSP90 inhibitor, pimitespib, demonstrates its potent growth suppressive activity to adult T-cell leukemia in preclinical models (HuT102).
GEO Series GSE168554. Homo sapiens. 6 samples. Type: Expression profiling by array.
Loss of Rab11 synergizes with oncogenic Ras to alter growth and metabolism in intestinal cancer models
GEO Series GSE92705. Drosophila melanogaster. 6 samples. Type: Expression profiling by high throughput sequencing.
Highly selective HSP90 inhibitor, pimitespib, demonstrates its potent growth suppressive activity to adult T-cell leukemia in preclinical models (LYM1, KK1).
GEO Series GSE168555. Homo sapiens. 14 samples. Type: Expression profiling by array.
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.