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3,139 results for “fitting”

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geo24/100

The ultra-sensitive Nodewalk technique identifies stochastic from virtual, population-based enhancer hubs regulating MYC in 3D: Implications for the fitness of cancer cells [GRO-seq]

GEO Series GSE76043. Homo sapiens. 4 samples. Type: Expression profiling by high throughput sequencing.

openGEO-OpenSep 2019View details →
geo24/100

Distinct TNF Receptors Dictate Stem Cell Fitness Versus Lineage Output in Clonal Hematopoiesis of Aging

GEO Series GSE189406. Mus musculus. 28 samples. Type: Expression profiling by high throughput sequencing.

openGEO-OpenNov 2021View details →
geo24/100

Identifying non-genetic determinants of malignant clonal fitness at single cell resolution [chemo barcode-seq]

GEO Series GSE186304. Mus musculus. 66 samples. Type: Other.

openGEO-OpenNov 2021View details →
geo24/100

Mll5 is Required for Hematopoietic Stem Cell Fitness and Homeostasis

GEO Series GSE10817. Mus musculus. 4 samples. Type: Expression profiling by array.

openGEO-OpenMay 2008View details →
geo24/100

FIT Links c-Myc and P53 Acetylation by Recruiting RBBP7 During Carcinogenesis of Colorectal Cancer

GEO Series GSE211804. Homo sapiens. 10 samples. Type: Expression profiling by high throughput sequencing.

openGEO-OpenAug 2022View details →
geo24/100

SETD2 Mutations Do Not Contribute to Clonal Fitness in Response to Chemotherapy in Childhood B Acute Lymphoblastic Leukemia (WES)

GEO Series GSE231723. Homo sapiens. 12 samples. Type: Other.

openGEO-OpenMay 2024View details →
geo24/100

Intercellular nanotube-mediated mitochondrial transfer enhances T-cell metabolic fitness and antitumor efficacy

GEO Series GSE229487. Mus musculus. 9 samples. Type: Expression profiling by high throughput sequencing.

openGEO-OpenSep 2024View details →
geo24/100

Post-transcriptional regulation can harness genome instability and provide phenotypic robustness during fitness gain in the human parasite Leishmania donovani

GEO Series GSE165615. Leishmania donovani. 15 samples. Type: Expression profiling by high throughput sequencing.

openGEO-OpenFeb 2022View details →
geo24/100

High-throughput Fitness Experiments Reveal Specific Vulnerabilities of Human-Adapted Salmonella During Stress and Infection- Barseq4 (InSPI2, hydrogen peroxide (H2O2), nitric oxide (NO), sodium hypoch

GEO Series GSE261860. Salmonella enterica subsp. enterica serovar Paratyphi A str. ATCC 9150; Salmonella enterica subsp. enterica serovar Typhimurium str. D23580; Salmonella enterica subsp. enterica serovar Typhimurium str. ST4/74; Salmonella enterica subsp. enterica serovar Typhi str. Ty2. 40 samples. Type: Other.

openGEO-OpenApr 2024View details →
geo24/100

Anti-uPAR CAR T cells reverse and prevent aging-associated defects in intestinal regeneration and fitness

GEO Series GSE301534. Mus musculus. 20 samples. Type: Expression profiling by high throughput sequencing.

openGEO-OpenOct 2025View details →
geo24/100

Hsf1 promotes hematopoietic stem cell fitness and proteostasis in response to ex vivo culture stress and aging II

GEO Series GSE179413. Mus musculus. 12 samples. Type: Expression profiling by high throughput sequencing.

openGEO-OpenJul 2021View details →
geo24/100

Rio1 downregulates centromeric RNA levels to promote the timely assembly of structurally fit kinetochores.

GEO Series GSE189278. Saccharomyces cerevisiae. 4 samples. Type: Expression profiling by high throughput sequencing.

openGEO-OpenDec 2022View details →
zenodo24/100

Fits files

<p>These are the fits files corresponding to all 113 observed ULXs in our 8-year-long survey. We also include a region file of all ULXs.</p>

opencc-by-4.0Jun 2020View details →
zenodo24/100

FITS data file for Learn Astropy Celestial Coords #1 tutorial

<p>This is for hosting the fits data file of the planetary nebula NGC 7293 for use in the Learn Astropy Celestial Coords #1 tutorial.&nbsp;</p>

opencc-by-4.0Jul 2020View details →
zenodo24/100

Fitness to Steady State vs Boolean Model Performance for AGS cell line

<p>For the investigation/analysis&nbsp;based on this dataset, see this report: <a href="https://druglogics.github.io/gitsbe-model-analysis/cascade/fit-perf-ags/main.html">https://druglogics.github.io/gitsbe-model-analysis/cascade/fit-perf-ags/main.html</a></p>

opencc-by-4.0Jun 2020View details →
zenodo24/100

MESA files for paper "Progenitor properties of type II supernovae: fitting to hydrodynamical models using Markov chain Monte Carlo methods"

<p>Inlists to reproduce the pre-SN simulations of the paper &quot;Progenitor properties of type II supernovae: fitting to hydrodynamical models using Markov chain Monte Carlo methods&quot;. These simulations were performed using MESA version 10398.</p>

opencc-by-4.0Aug 2020View details →
zenodo24/100

3x 1 µs all-atom MD trajectories; AMBER ff15ipq & SPC/Eb; T4 Lysozyme; 'Fitting side-chain NMR relaxation data using molecular simulations'

<p>Simulation data for &quot;Fitting side-chain NMR relaxation data using molecular simulations&quot; (https://doi.org/10.1101/2020.08.18.256024).</p> <ul> <li>3 x 1 &micro;s all-atom MD simulations of T4 Lysozyme</li> <li>Force field: AMBER ff15ipq with modified methyl rotation barriers<sup>1</sup></li> <li>Water model: SPC/Eb</li> <li>Compressed protein coordinates saved every 1 ps to enable calculation of side-chain NMR relaxation parameters</li> </ul> <p>Contains:</p> <ul> <li>3 x GROMACS .xtc trajectory files for 3 independent simulations</li> <li>3 x corresponding&nbsp;GROMACS .tpr topology files</li> </ul> <p><sup>1</sup>&nbsp;Hoffmann, F., Mulder, F. A. A., &amp; Sch&auml;fer, L. V. (2020). Predicting NMR relaxation of proteins from molecular dynamics simulations with accurate methyl rotation barriers.&nbsp;<em>Journal of Chemical Physics</em>,&nbsp;<em>152</em>(8). https://doi.org/10.1063/1.5135379</p>

openAug 2020View details →
zenodo24/100

5x 1 µs all-atom MD trajectories; AMBER ff99SB*-ILDN & TIP4P/2005; T4 Lysozyme; 'Fitting side-chain NMR relaxation data using molecular simulations'

<p>Simulation data for &quot;Fitting side-chain NMR relaxation data using molecular simulations&quot; (https://doi.org/10.1101/2020.08.18.256024).</p> <ul> <li>5 x 1&nbsp;&micro;s all-atom MD simulations of T4 Lysozyme</li> <li>Force field: AMBER ff99SB*-ILDN with modified methyl rotation barriers<sup>1</sup></li> <li>Water model: TIP4P/2005</li> <li>Compressed protein coordinates saved every 1 ps to enable calculation of side-chain NMR relaxation parameters</li> </ul> <p>Contains:</p> <ul> <li>5 x GROMACS .xtc trajectory files for 5 independent simulations</li> <li>5 x corresponding&nbsp;GROMACS .tpr topology files</li> </ul> <p><sup>1</sup>&nbsp;Hoffmann, F., Mulder, F. A. A., &amp; Sch&auml;fer, L. V. (2018). Accurate Methyl Group Dynamics in Protein Simulations with AMBER Force Fields.&nbsp;<em>The Journal of Physical Chemistry B</em>,&nbsp;<em>122</em>(19), 5038&ndash;5048. https://doi.org/10.1021/acs.jpcb.8b02769</p>

openAug 2020View details →
zenodo24/100

3x 5 µs all-atom MD trajectories; AMBER ff99SB*-ILDN & TIP4P/2005; T4 Lysozyme; 'Fitting side-chain NMR relaxation data using molecular simulations'

<p>Simulation data for &quot;Fitting side-chain NMR relaxation data using molecular simulations&quot; (https://doi.org/10.1101/2020.08.18.256024).</p> <ul> <li>3 x 5 &micro;s all-atom MD simulations of T4 Lysozyme</li> <li>Force field: AMBER ff99SB*-ILDN with modified methyl rotation barriers<sup>1</sup></li> <li>Water model: TIP4P/2005</li> <li>Compressed protein coordinates saved every 1 ps to enable calculation of side-chain NMR relaxation parameters</li> </ul> <p>Contains:</p> <ul> <li>3 x GROMACS .xtc trajectory files for 3 independent simulations</li> <li>3 x corresponding&nbsp;GROMACS .tpr topology files</li> </ul> <p><sup>1</sup>&nbsp;Hoffmann, F., Mulder, F. A. A., &amp; Sch&auml;fer, L. V. (2018). Accurate Methyl Group Dynamics in Protein Simulations with AMBER Force Fields.&nbsp;<em>The Journal of Physical Chemistry B</em>,&nbsp;<em>122</em>(19), 5038&ndash;5048. https://doi.org/10.1021/acs.jpcb.8b02769</p>

openAug 2020View details →
zenodo24/100

Corner plots of MgII emission line fits for z~6 quasars

<p>Corner plots for the MgII emission line fits for ten z~6 quasars shown in Fig. 10 from this paper: https://ui.adsabs.harvard.edu/abs/2020arXiv200201811E/abstract. Model parameters and fitting procedure are described in section 4.2.</p>

opencc-by-4.0Aug 2020View details →

ScienceDex guides

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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.

Compare curated 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.

allen-brain-atlas
neuroscienceopenDocumentation, web resources, and API references are available online.
Last verified 2026-04-30Open record

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.

abode-home-cage
behavioral-neuroscienceopenThe DataShare record exposes download links for annotations, documentation, license text, and the zipped per-snippet data directory.
Last verified 2026-04-30Open record

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.

dandi-nwb
electrophysiologyopenPublished Dandiset metadata and archive endpoints are available through the production DANDI API.
Last verified 2026-04-30Open record

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.

ibl
behavioral-neuroscienceopenPublic sessions can be searched and loaded from the IBL public data server through ONE.
Last verified 2026-04-29Open record

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.

openneuro
neuroscienceopenPublished datasets are available on demand over the internet.
Last verified 2026-04-29Open record

ScienceDex for faculty

Your academic CV and NIH biosketch

Make your CV in your school's format and your NIH biosketch from it, then download both as Word files.