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244 results for “model organisms”
Model output data of the paper: "Management induced changes of soil organic carbon on global croplands"
<p># Model output data of the paper: "Management induced changes of soil organic carbon on global croplands"<br> This data was prodused using the the MadRat framework and the mrsoil R-library by the R-script SOCBudget.R, which is stored together with the data. mrsoil is based on the R-libraries mrcommons, mrmagpie and mrvalidation.</p> <p>### REFERENCES<br> Dietrich J, Baumstark L, Wirth S, Giannousakis A, Rodrigues R, Bodirsky B, Kreidenweis U, Klein D (2020). _madrat: May All Data be<br> Reproducible and Transparent (MADRaT)_. doi: 10.5281/zenodo.1115490 (URL: https://doi.org/10.5281/zenodo.1115490), R package version<br> 1.86.0, <URL: https://github.com/pik-piam/madrat>.</p> <p>rstens K, Dietrich J (2020). _mrsoil: MadRat Soil Organic Carbon Budget Library_. doi: 10.5281/zenodo.4317933 (URL:<br> https://doi.org/10.5281/zenodo.4317933), R package version 1.1.0, <URL: https://github.com/pik-piam/mrsoil>.</p> <p>Bodirsky B, Karstens K, Baumstark L, Weindl I, Wang X, Mishra A, Wirth S, Stevanovic M, Steinmetz N, Kreidenweis U, Rodrigues R, Popov<br> R, Humpenoeder F, Giannousakis A, Levesque A, Klein D, Araujo E, Beier F, Oeser J, Pehl M, Leip D, Molina Bacca E, Martinelli E,<br> Schreyer F, Dietrich J (2020). _mrcommons: MadRat commons Input Data Library_. doi: 10.5281/zenodo.3822009 (URL:<br> https://doi.org/10.5281/zenodo.3822009), R package version 0.11.10, <URL: https://github.com/pik-piam/mrcommons>.</p> <p>Karstens K, Dietrich J, Chen D, Windisch M, Alves M, Beier F, v. Jeetze P, Mishra A, Humpenoeder F (2020). mrmagpie: madrat based MAgPIE Input Data Library. doi: 10.5281/zenodo.4319612 (URL: https://doi.org/10.5281/zenodo.4319612), R package version 0.31.0, <URL: https://github.com/pik-piam/mrmagpie>.</p> <p>Bodirsky B, Wirth S, Karstens K, Humpenoeder F, Stevanovic M, Mishra A, Biewald A, Weindl I, Chen D, Molina Bacca E, Kreidenweis U, W. Yalew A, Humpenoeder<br> F, Wang X, Dietrich J (2020). _mrvalidation: madrat data preparation for validation purposes_. doi: 10.5281/zenodo.4317826 (URL:<br> https://doi.org/10.5281/zenodo.4317826), R package version 2.5.0, <URL: https://github.com/pik-piam/mrvalidation>.</p> <p>## LICENSE<br> This data is open-source: you can redistribute it and/or modify it under the terms of the **CC Attribution 4.0 International** as published by the Creative Commons Corporation at https://creativecommons.org/licenses/by/4.0/legalcode.</p> <p>## CONTACT<br> karstens@pik-potsdam.de</p>
Supplemental Data Files for Advances in Organ-Specific Dosimetry Models for Radionuclides and Radiopharmaceuticals at Their Macro And Micro Scales
<p>Data sets for Aims 1 and 2 of my dissertation. Both aims contain three excel spreadsheets for a total of 6 files with the computed specific absorbed fractions and S-values.</p>
Modeling the electronic structure of organic materials: A solid-state physicist's perspective
<p>electronic and optical properties of anthracene molecules and anthracene crystal structure. <br> </p>
Toward emulating an explicit organic chemistry mechanism with a random forest model: dataset and training code
<p>This repository contains the dataset created with the GECKO-A model and the code (training_gecko_rf_final.py) used to train and test random forests for predicting secondary organic aerosol formation.</p> <p>For each simulation, results are distributed in two separate files identified as such:</p> <ul> <li><precursor>_library_<id>_predictors.csv and <precursor>_library_<id>_outcomes.csv.</li> <li><precursor> is either ARO1 (toluene) or dodecane_4gen (dodecane).</li> <li><id> is a unique simulation identifier.</li> <li>the *predictors.csv files contain the state of the predictors for each timestep at the beginning of the chemical solver integration step.</li> <li>the *outcomes.csv files contain the state of the outcomes at the end of the chemical solver integration step.</li> </ul> <p>The TRAINING_* directories contain training simulations. TRAINING_ALL contains all the training data, used for the default random forest configuration. TRAINING_*NOX contain sorted training data matching LOW, MID and HIGH NOx initial regimes (see associated article) to train the specialized random forests.</p> <p>Similarly, the VALIDATION_* directories contain validation simulations, used to test the random forests after training.</p> <p>The TESTING* directories contain the results of testing the random forest for comparison with the VALIDATION simulations.</p>
The Effects of the Intrapartum Care Model Given in Line With the Recommendations of the World Health Organization (WHO)
ClinicalTrials.gov study NCT06551571. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Family Model Diabetes Self-Management Education in Faith Based Organizations
ClinicalTrials.gov study NCT04256486. IPD Sharing: NO. Countries: 1. Publications: 0.
Modeling Organ Motion During Abdominal Imaging in Healthy Volunteers
ClinicalTrials.gov study NCT05674851. IPD Sharing: NO. Countries: 1. Publications: 0.
Ablation of Human Cardiac Fibrillation Based on Models of Hierarchical Organization of Tissue Excitation
ClinicalTrials.gov study NCT07390175. IPD Sharing: UNDECIDED. Countries: 1. Publications: 0.
Drosophila melanogaster as a model organism to investigate sex specific differences
GEO Series GSE293388. Drosophila melanogaster. 12 samples. Type: Expression profiling by high throughput sequencing.
Life cycle analysis of the model organism Rhodopirellula baltica by transcritpome studies
GEO Series GSE19405. Rhodopirellula baltica SH 1; Rhodopirellula baltica. 8 samples. Type: Expression profiling by array.
Data from: A tunable refractive index matching medium for live imaging cells, tissues and model organisms
Open the record for dataset details and reuse information.
Dual-patterned pluripotent stem cells self-organize into a human embryo model with extended anterior-posterior patterning
GEO Series GSE308289. Homo sapiens. 1 samples. Type: Expression profiling by high throughput sequencing.
Roadmap and Considerations for Genome Editing in a Non-model Organism: Genetic Variations and Off-target Profiling
GEO Series GSE281095. Macrobrachium rosenbergii. 32 samples. Type: Other.
A primary hierarchically organized patient-derived model enables in depth interrogation of stemness driven by the coding and non-coding genome [RNA-Seq]
GEO Series GSE211595. Homo sapiens. 29 samples. Type: Expression profiling by high throughput sequencing.
Chip array data for human PDAC Suit2-007 in primary (pancreas) secondary organs (liver and lungs) of a PDAC rat model
GEO Series GSE152305. Homo sapiens. 10 samples. Type: Expression profiling by array.
Coagulopathy signature precedes and predicts severity of end-organ heat stroke pathology in a mouse model
GEO Series GSE129188. Mus musculus. 48 samples. Type: Expression profiling by high throughput sequencing.
A novel aCGH method for non-model organisms for assessing genomes and de-novo transcriptome sequencing reads
GEO Series GSE52122. Danio rerio; Staphylococcus aureus. 45 samples. Type: Genome variation profiling by genome tiling array; Genome variation profiling by array.
A novel aCGH method for non-model organisms for assessing genomes and de-novo transcriptome sequencing reads (Danio rerio)
GEO Series GSE52121. Danio rerio. 12 samples. Type: Genome variation profiling by array.
A novel aCGH method for non-model organisms for assessing genomes and de-novo transcriptome sequencing reads (Staphylococcus aureus)
GEO Series GSE51148. Staphylococcus aureus. 33 samples. Type: Genome variation profiling by genome tiling array.
Oncogenesis and organ infiltration specific therapy in a preclinical model of Ph-like B cell acute lymphoblastic leukemia
GEO Series GSE192424. Mus musculus. 13 samples. Type: Expression profiling by high throughput sequencing.
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.