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575
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Dataset results
575 results for “Modeling Codes”
Data from: A model for non-monotonic intensity coding
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Code for Individual Based Model to assess impact of KHV release on carp population
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Code and data of MS "Null models for animal social network analysis and data collected via focal sampling: pre-network or node network permutation?"
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Dysregulation of REST-regulated coding and non-coding RNAs in a cellular model of Huntington’s disease
GEO Series GSE42107. Mus musculus. 12 samples. Type: Expression profiling by array.
Long non-coding RNAs Gabarapl2 and Chrnb2 positively regulate inflammatory signaling in a mouse model of dry eye
GEO Series GSE186450. Mus musculus. 2 samples. Type: Non-coding RNA profiling by high throughput sequencing.
Long non-coding RNA in liver of HCC mouse model
GEO Series GSE78911. Mus musculus. 6 samples. Type: Expression profiling by array; Non-coding RNA profiling by array.
TMEM106B coding variant is protective and deletion detrimental in a mouse model of tauopathy
GEO Series GSE223376. Mus musculus. 72 samples. Type: Expression profiling by high throughput sequencing.
Long non-coding RNAs expression study of a Rett syndrome mouse model
GEO Series GSE43689. Mus musculus. 4 samples. Type: Non-coding RNA profiling by array.
Circular RNA, long non-coding RNA and mRNA transcriptomic profiles in a rat lumbosacral spinal roots avulsion model
GEO Series GSE203053. Rattus. 6 samples. Type: Expression profiling by high throughput sequencing; Non-coding RNA profiling by high throughput sequencing.
Whole genome non-coding RNA profiling of the developing hippocampus of the Down syndrome mouse model Dp16(1)Yey
GEO Series GSE120801. Mus musculus. 6 samples. Type: Non-coding RNA profiling by high throughput sequencing; Expression profiling by high throughput sequencing.
Expression Profiles of Long Non-Coding RNAs and Messenger RNAs in a Rat Model of Spinal Cord Injury
GEO Series GSE218088. Rattus; Rattus norvegicus. 6 samples. Type: Expression profiling by array; Non-coding RNA profiling by array.
A primary hierarchically organized patient-derived model enables in depth interrogation of stemness driven by the coding and non-coding genome [WGS]
GEO Series GSE211499. Homo sapiens. 4 samples. Type: Genome variation profiling by high throughput sequencing.
Environmentally Induced Sperm RNAs Transmit Cancer Susceptibility to Offspring in a Mouse Model [non-coding RNA-Seq]
GEO Series GSE221431. Mus musculus. 20 samples. Type: Non-coding RNA profiling by high throughput sequencing.
A primary hierarchically organized patient-derived model enables in depth interrogation of stemness driven by the coding and non-coding genome
GEO Series GSE211596. Homo sapiens. 36 samples. Type: Genome binding/occupancy profiling by high throughput sequencing; Genome variation profiling by high throughput sequencing; Expression profiling by high throughput sequencing.
Selective expression of long non-coding RNAs in a breast cancer cell progression model
GEO Series GSE98393. Homo sapiens. 15 samples. Type: Expression profiling by high throughput sequencing; Non-coding RNA profiling by high throughput sequencing.
Model code and data for "Mitigation of the double ITCZ syndrome in BCC-CSM2-MR through improving parameterizations of boundary-layer turbulence and shallow convection" by Lu et al., submitted to Geoscientific Model Development, https://doi.org/10.5194/gmd-2020-40, in review, 2020.
<p>Description of the files:</p> <p>“BCC_CSM2_MR.code.tar” contains the codes and run scripts for the medium-resolution Beijing Climate Center Climate System Model version 2 (BCC-CSM2-MR). Detailed description of the model refers to the paper “The Beijing Climate Center Climate System Model (BCC-CSM): the main progress from CMIP5 to CMIP6” by Wu et al., Geosci. Model Dev., 12, 1573–1600, https://doi.org/10.5194/gmd-12-1573-2019, 2019.</p> <p>“BCC_CSM2_MR.inputdata.tar” contains the input data needed to run the model.</p> <p>“REF_amip.rar” contains the output data from the REF_amip experiment.</p> <p>“NEW_amip.rar” contains the output data from the NEW_amip experiment.</p> <p>“REF_cmip.rar” contains the output data from the REF_cmip experiment.</p> <p>“NEW_cmip.rar” contains the output data from the NEW_cmip experiment.</p> <p>“UWMT_amip.rar” contains the output data from the UWMT_amip experiment.</p> <p>“mHack_amip.rar” contains the output data from the mHack_amip experiment.</p>
Data, Code, Models, and Results for 'Empirical estimation of yield variability due to weather shocks using biophysical characteristics for U.S. rainfed and irrigated maize, soybeans, and winter wheat'
<p>Data, Code, Models, and Results for 'Empirical estimation of yield variability due to weather shocks using biophysical characteristics for U.S. rainfed and irrigated maize, soybeans, and winter wheat'</p>
Bayesian regional flood frequency analysis with GEV hierarchical models under spatial dependency structures (code and dataset)
<p>The provided material contains the dataset and the models' code used in the article named “Bayesian regional flood frequency analysis with GEV hierarchical models under spatial dependency structures”.</p>
Data and code for GRL submission "Tropical rainfall linked to stronger future ENSO-NAO teleconnection in CMIP5 models"
<p>Data and python code used to plot figures in GRL submission "Tropical rainfall linked to stronger future ENSO-NAO teleconnection in CMIP5 models".</p>
Data for tests of the NicheMapR transient heat budget modelling code
<p>This data set and code is used to test the ability of the transient heat budget modelling code in the R package NicheMapR (functions 'onelump_var', 'twolump' and 'trans_behav') against inanimate objects (fruit, pipes) and real lizards (a small and a large lizard who's activity and body temperatures were observed on the same day at an arid locality in central Australia). It generates the figures and statistics reported as supplementary information for the paper:</p> <p>Kearney, M. R. et al. 2020. Modeling the joint effects of body size and microclimate on heat budgets and foraging opportunities of ectotherms. - Methods in Ecology and Evolution in press.</p> <p>See the latter paper for more details.</p> <p>To run the code the package NicheMapR must be installed.</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.