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Dataset results
137 results for “Mixed Model”
COMSOL - Modeling of a groundwater sampling event in a monitoring well incorporates the coupled effects of well storage and wellbore mixing.
<p>This is a coupled multiphysics flow and transport model that accounts for laminar flow and solute transport within the wellbore, and Darcy flow in the aquifer to investigate groundwater sampling events. The numerical model was developed and constructed in COMSOL Multiphysics® 6.0, a commercial finite element analysis and solver software. See <a href="https://www.comsol.com/">https://www.comsol.com/</a>. Simulation data is provided for homogenous and heterogenous aquifer conditions. </p>
Improving accuracy of breeding values by incorporating genomic information in spatial-competition mixed models
<p>Supplementary information of a <em>Eucalyptus grandis</em> population, genomic and pedigree data including identity information of trees, family, and provenance of the paper entitled: <strong>Improving accuracy of breeding values by incorporating genomic information in spatial-competition mixed models</strong>.</p> <p> </p>
Data from: miRglmm: a generalized linear mixed model of isomiR-level counts improves estimation of miRNA-level differential expression and uncovers variable differential expression between isomiRs
<p>These datasets can be used to reproduce all analyses from the publication "miRglmm: a generalized linear mixed model of isomiR-level counts improves estimation of miRNA-level differential expression and uncovers variable differential expression between isomiRs" in conjunction with codes found at https://github.com/mccall-group/miRglmm_paper. </p> <p>"Monocyte_data_subset.rda", "monocyte_exact_subset_filtered2.rda" and "sims_N100_m2_s1_rtruncnorm.rda" can be used to reproduce the simulation analysis. </p> <p>"panel_B_SE.rda" and "ERCC_filtered.rda" can be used to reproduce the ERCC synthetic data analysis with known ground truth.</p> <p>"study89_data_subset.rda" and "study89_data_subset_filtered2.rda" can be used to reproduce the immune cell-type analysis. </p> <p>"bladder_testes_data_subset.rda" and "bladder_testes_data_subset_filtered2.rda" can be used to reproduce the bladder vs testes tissue analysis.</p>
Models of low-mass helium white dwarfs including gravitational settling, thermal and chemical diffusion, and rotational mixing⋆
<p>MESA inlists, data (from a single run: rotation + diffusion, M1=1.4, M2=1.2, Porb=3.4 days, Z=0.02) and run_star_extras associated with <a href="http://adsabs.harvard.edu/abs/2016A%26A...595A..35I">Istrate et. al 2016</a>. MESA version 7624. The grid of models produced in this paper can be found <a href="http://adsabs.harvard.edu/abs/2016yCat..35950035I">here</a>.</p>
Uncertainty Quantification in Multivariate Mixed Models for Mass Cytometry Data (Processed Data)
<p>Processed data computed using R packages <a href="https://christofseiler.github.io/CytoGLMM">CytoGLMM</a> and <a href="https://christofseiler.github.io/cytoeffect">cytoeffect</a>. Raw data available <a href="http://flowrepository.org/id/FR-FCM-ZY3Q">here</a>.</p>
Mercury and Arsenic muscle concentration data as used in "Mixed model approaches can leverage database information to improve the estimation of size-adjusted contaminant concentrations in fish populations"
<p>These mercury and arsenic concentration data, as recieved from Gretchen Lescord, and downloaded from the MOE fish contaminant database, were used to create the publication Mixed model approaches can leverage database information to improve the estimation of size-adjusted contaminant concentrations in fish populations. The markdown and code used for the analysis of this data can be found on Github at https://github.com/GLFC-WET/HGAS_master.</p>
A comprehensive model for separating systematic bias and noise in metabolomic timecourse data -- A nonlinear B-spline mixed effect approach
<p>Code for the analysis and validation of the systematic error correction model presented.</p>
The data from CropPol which are not included in my linear mixed models and the reasons.
<p>The data from CropPol which are not included in my linear mixed models and the reasons. Note_for_not_include column refers to the reason why these data was excluded. </p>
Dual clumped isotope analyses and model calculations constrain equilibrium, experimentally-manipulated kinetic isotope effects, and mixing effects in calcite
<p>Replicate data for standards and samples; XRD data. </p>
Towards Telemonitoring in Immune-Mediated Inflammatory Diseases: Implementation of a Mixed Attention Model (IMIDOC)
ClinicalTrials.gov study NCT06273306. IPD Sharing: NO. Countries: 0. Publications: 1.
A Multifactor Prediction Model for Non-curative Outcomes in Mixed-type Early Gastric Cancer
ClinicalTrials.gov study NCT07096947. IPD Sharing: NO. Countries: 1. Publications: 0.
Data from: Mixed linear model approach for mapping quantitative trait loci underlying crop seed traits
Open the record for dataset details and reuse information.
Data from: A novel iterative mixed model to remap three complex orthopedic traits in dogs
Open the record for dataset details and reuse information.
Data from: Generalized linear mixed models for mapping multiple quantitative trait loci
Open the record for dataset details and reuse information.
MERRA-2 inst3_3d_aer_Nv: 3d,3-Hourly,Instantaneous,Model-Level,Assimilation,Aerosol Mixing Ratio 0.625 x 0.5 degree V5.12.4 (M2I3NVAER) at GES DISC
M2I3NVAER (or inst3_3d_aer_Nv) is an instantaneous 3-dimensional 3-hourly data collection in Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2). This collection consists of assimilations of aerosol mixing ratio parameters at 72 model layers, such as dust, sulphur dioxide, sea salt, black carbon, and organic carbon. The data field is available every three hour starting from 00:00 UTC, e.g.: 00:00, 03:00, … , 21:00 UTC. Section 4.2 of the MERRA-2 File Specification document provides pressure values nominal for a 1000 hPa surface pressure and refers to the top edge of the layer. The lev=1 is for the top layer, and lev=72 is for the bottom (or surface) model layer. MERRA-2 is the latest version of global atmospheric reanalysis for the satellite era produced by NASA Global Modeling and Assimilation Office (GMAO) using the Goddard Earth Observing System Model (GEOS) version 5.12.4. The dataset covers the period of 1980-present with the latency of ~3 weeks after the end of a month. Data Reprocessing: Please check “Records of MERRA-2 Data Reprocessing and Service Changes” linked from the “Documentation” tab on this page. Note that a reprocessed data filename is different from the original file.MERRA-2 Mailing List: Sign up to receive information on reprocessing of data, changing of tools and services, as well as data announcements from GMAO. Contact the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov) to be added to the list.Questions: If you have a question, please read "MERRA-2 File Specification Document", “MERRA-2 Data Access – Quick Start Guide”, and FAQs linked from the ”Documentation” tab on this page. If that does not answer your question, you may post your question to the NASA Earthdata Forum (forum.earthdata.nasa.gov) or email the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov).
MERRA-2 inst3_3d_chm_Nv: 3d,3-Hourly,Instantaneous,Model-Level,Assimilation,Carbon Monoxide and Ozone Mixing Ratio 0.625 x 0.5 degree V5.12.4 (M2I3NVCHM) at GES DISC
M2I3NVCHM (or inst3_3d_chm_Nv) is an instantaneous 3-dimensional 3-hourly data collection in Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2). This collection consists of assimilations of carbon monoxide and ozone mixing ratio at 72 model layers. The data is available every three hour starting from 00:00 UTC, e.g.: 00:00, 03:00, … , 21:00 UTC. Section 4.2 of the MERRA-2 File Specification document provides pressure values nominal for a 1000 hPa surface pressure and refers to the top edge of the layer. The lev=1 is for the top layer, and lev=72 is for the bottom (or surface) model layer. MERRA-2 is the latest version of global atmospheric reanalysis for the satellite era produced by NASA Global Modeling and Assimilation Office (GMAO) using the Goddard Earth Observing System Model (GEOS) version 5.12.4. The dataset covers the period of 1980-present with the latency of ~3 weeks after the end of a month. Data Reprocessing: Please check “Records of MERRA-2 Data Reprocessing and Service Changes” linked from the “Documentation” tab on this page. Note that a reprocessed data filename is different from the original file.MERRA-2 Mailing List: Sign up to receive information on reprocessing of data, changing of tools and services, as well as data announcements from GMAO. Contact the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov) to be added to the list.Questions: If you have a question, please read "MERRA-2 File Specification Document", “MERRA-2 Data Access – Quick Start Guide”, and FAQs linked from the ”Documentation” tab on this page. If that does not answer your question, you may post your question to the NASA Earthdata Forum (forum.earthdata.nasa.gov) or email the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov).
MERRA-2 inst3_3d_gas_Nv: 3d,3-Hourly,Instantaneous,Model-Level,Assimilation,Aerosol Mixing Ratio Analysis Increments 0.625 x 0.5 degree V5.12.4 (M2I3NVGAS) at GES DISC
M2I3NVGAS (or inst3_3d_gas_Nv) is an instantaneous 3-dimensional 3-hourly data collection in Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2). This collection consists of aerosol mixing ratio analysis increments at 72 model layers, such as mixing ratio analysis increments of black carbon, dust, organic carbon, sea salt, and sulfate. The data field is available every three hour starting from 00:00 UTC, e.g.: 00:00, 03:00, … , 21:00 UTC. Section 4.2 of the MERRA-2 File Specification document provides pressure values nominal for a 1000 hPa surface pressure and refers to the top edge of the layer. The lev=1 is for the top layer, and lev=72 is for the bottom (or surface) model layer. MERRA-2 is the latest version of global atmospheric reanalysis for the satellite era produced by NASA Global Modeling and Assimilation Office (GMAO) using the Goddard Earth Observing System Model (GEOS) version 5.12.4. The dataset covers the period of 1980-present with the latency of ~3 weeks after the end of a month. Data Reprocessing: Please check “Records of MERRA-2 Data Reprocessing and Service Changes” linked from the “Documentation” tab on this page. Note that a reprocessed data filename is different from the original file.MERRA-2 Mailing List: Sign up to receive information on reprocessing of data, changing of tools and services, as well as data announcements from GMAO. Contact the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov) to be added to the list.Questions: If you have a question, please read "MERRA-2 File Specification Document", “MERRA-2 Data Access – Quick Start Guide”, and FAQs linked from the ”Documentation” tab on this page. If that does not answer your question, you may post your question to the NASA Earthdata Forum (forum.earthdata.nasa.gov) or email the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov).
Supporting datasets used in the paper entitled "Black carbon absorption efficiency under preindustrial and present-day conditions simulated by a size- and mixing-state-resolved global aerosol model"
<p>This archive contains datasets used in the paper entitled "Black carbon absorption efficiency under preindustrial and present-day conditions simulated by a size- and mixing-state-resolved global aerosol model".</p>
Benchmarking Turbulence Models to Represent Cloud-Edge Mixing
<p>This is the simulation output of the submitted manuscript "Benchmarking Turbulence Models to Represent Cloud-Edge Mixing" to the Journal of Atmospheric Sciences. </p> <p>Abstract: Considering turbulence is crucial to understand clouds. However, covering all scales involved in the turbulent mixing of clouds with their environment is computationally challenging, urging the need for simple models to represent some of the involved processes. By using full direct numerical simulations as a reference, this study compares several statistical approaches for representing small-scale turbulent mixing. All models use a comparable Lagrangian representation of cloud microphysics, and simulate the same cases of cloud edge mixing, covering different ambient humidities and turbulence intensities. It is demonstrated that all statistical models represent the evolution of thermodynamics successfully, but not all models capture the changes in cloud microphysics (cloud droplet number concentration, droplet mean radius, and spectral width). Implications of these results for using the presented models as subgrid-scale schemes are discussed.</p> <p>The raw data presented here was produced by five different models and is completely available. For information on how the dataset is structured, see the readme.txt.</p>
Osteopathic Manipulative Treatment RCT and Computational Modeling for Head Injuries in Mixed Martial Artists
ClinicalTrials.gov study NCT06851234. IPD Sharing: Not stated. Countries: 1. Publications: 0.
ScienceDex guides
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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.