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1,880 results for “Dimensionality”

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nasa12/100

MMS 2 Electric Double Probe (EDP) Axial Double Probe, Spin Plane Double Probe (ADP-SDP) Three-Dimensional HMFE Electric Field, Level 2 (L2), Burst Mode, 0.01525878906 ms Data

Electric Double Probe, Three-Dimensional HMFE Electric Field, Level 2, Burst Mode, Level 1B AC Electric Field Data

restrictednotspecifiedAug 2025View details →
nasa12/100

MMS 1 Electric Double Probe (EDP) Axial Double Probe, Spin Plane Double Probe (ADP-SDP) Three-Dimensional HMFE Electric Field, Level 2 (L2), Burst Mode, 0.01525878906 ms Data

Electric Double Probe, Three-Dimensional HMFE Electric Field, Level 2, Burst Mode, Level 1B AC Electric Field Data

restrictednotspecifiedAug 2025View details →
zenodo8/100

Large-scale three-dimensional hydraulic tomography analyses of long-term municipal wellfield operations

<p>Datasets utilized to accomplish the work that supports the publication of the above manuscript. Basically, the datasets include element and node information that discrete the investigated area for groundwater flow modeling, as well as flow rates (production wells)&nbsp;and head response data (monitoring wells) utilized for inverse modeling.</p>

restrictedNov 2021View details →
zenodo8/100

Three-dimensional chromatin architecture of early-stage mouse embryos reconstructed via recurrence plots

<p>We have previously developed the Recurrence Plot-Based Reconstruction (RPR) method for reconstructing three dimensional (3D) genomic structure from Hi-C data of single haploid cells&nbsp;and diploid cells.&nbsp;Here we used the RPR method to analyzing published scHi-C data of diploid cells derived from early-stage F1 hybrid embryos. As a proof-of-concept for understanding of global developmental changes in chromosomal architecture of early stage embryos.&nbsp;Processed single cell Hi-C (scHi-C) data of early stage mouse embryos were obtained from Collombet et al.&nbsp;(GSE129029).&nbsp;</p>

restrictedJan 2025View details →
zenodo8/100

Implementing high dimensional reductional analysis on histocytometric data

<p>In the previous protocol article (Munoz-Erazo, Schmidt, Shinko, Eccles, et al., 2022), we demonstrated construction of a histocytometry pipeline that is capable of both segmenting highly-aggregated cell populations and retaining the original intensity data range of the input microscopic images. In the protocol article presented here, using the output from the aforementioned protocol article, we demonstrate how to phenotype the data using the high dimensional reductional analysis technique opt-t-SNE (optimized t-distributed Stochastic Neighbor Embedding) and compare it to traditional manual gating.</p> <p>Additional, we present a support protocol illustrating the advantage of the inclusion of cell junction/membrane marker in accurately segmenting highly-aggregated cell populations in ilastik.</p> <p>In the previous protocol article (Munoz-Erazo, Schmidt, Shinko, Eccles, et al., 2022), we demonstrated construction of a histocytometry pipeline that is capable of both segmenting highly-aggregated cell populations and retaining the original intensity data range of the input microscopic images. In the protocol article presented here, using the output from the aforementioned protocol article, we demonstrate how to phenotype the data using the high dimensional reductional analysis technique opt-t-SNE (optimized t-distributed Stochastic Neighbor Embedding) and compare it to traditional manual gating.</p> <p>Additional, we present a support protocol illustrating the advantage of the inclusion of cell junction/membrane marker in accurately segmenting highly-aggregated cell populations in ilastik.</p>

restrictedJun 2022View details →
zenodo8/100

Hourly aerosol assimilation of Himawari-8 AOT using the four-dimensional local ensemble transform Kalman filter

<p>These&nbsp;data are simulated&nbsp;results&nbsp;used in the manuscript titled &quot;Hourly aerosol assimilation of Himawari-8 AOT using the four-dimensional local ensemble transform Kalman filter&quot; to Journal of Advances in Modeling Earth Systems.&nbsp;</p>

restrictedNov 2018View details →
nasa8/100

MMS 1 Electric Double Probe (EDP) Three-Dimensional Electric Field, Level 2 (L2), Slow Mode, 0.125 s Data

Electric Double Probe, Quick-Look Three-Dimensional Electric Field, Level 2, Slow Survey Data

restrictednotspecifiedAug 2025View details →
nasa8/100

MMS 4 Electric Double Probe (EDP) Three-Dimensional Electric Field, Level 2 (L2), Fast Mode, 31.25 ms Data

Electric Double Probe, Quick-Look Three-Dimensional Electric Field, Level 2, Fast Survey Data

restrictednotspecifiedAug 2025View details →
nasa8/100

MMS 1 Electric Double Probe (EDP) Three-Dimensional Electric Field, Level 2 (L2), Burst Mode, 0.1220703125 ms Data

Electric Double Probe, Three-Dimensional Electric Field, Level 2, Burst Mode Data

restrictednotspecifiedAug 2025View details →
nasa8/100

MMS 4 Electric Double Probe (EDP) Three-Dimensional Electric Field, Level 2 (L2), Burst Mode, 0.1220703125 ms Data

Electric Double Probe, Three-Dimensional Electric Field, Level 2, Burst Mode Data

restrictednotspecifiedAug 2025View details →
nasa8/100

MMS 3 Electric Double Probe (EDP) Three-Dimensional Electric Field, Level 2 (L2), Fast Mode, 31.25 ms Data

Electric Double Probe, Quick-Look Three-Dimensional Electric Field, Level 2, Fast Survey Data

restrictednotspecifiedAug 2025View details →
nasa8/100

MMS 1 Electric Double Probe (EDP) Three-Dimensional Electric Field, Level 2 (L2), Fast Mode, 31.25 ms Data

Electric Double Probe, Quick-Look Three-Dimensional Electric Field, Level 2, Fast Survey Data

restrictednotspecifiedAug 2025View details →
nasa8/100

MMS 3 Electric Double Probe (EDP) Three-Dimensional Electric Field, Level 2 (L2), Burst Mode, 0.1220703125 ms Data

Electric Double Probe, Three-Dimensional Electric Field, Level 2, Burst Mode Data

restrictednotspecifiedAug 2025View details →
nasa8/100

MMS 4 Electric Double Probe (EDP) Three-Dimensional Electric Field, Level 2 (L2), Slow Mode, 0.125 s Data

Electric Double Probe, Quick-Look Three-Dimensional Electric Field, Level 2, Slow Survey Data

restrictednotspecifiedAug 2025View details →
nasa8/100

MMS 3 Electric Double Probe (EDP) Three-Dimensional Electric Field, Level 2 (L2), Slow Mode, 0.125 s Data

Electric Double Probe, Quick-Look Three-Dimensional Electric Field, Level 2, Slow Survey Data

restrictednotspecifiedAug 2025View details →
nasa8/100

MMS 2 Electric Double Probe (EDP) Three-Dimensional Electric Field, Level 2 (L2), Burst Mode, 0.1220703125 ms Data

Electric Double Probe, Three-Dimensional Electric Field, Level 2, Burst Mode Data

restrictednotspecifiedAug 2025View details →
nasa8/100

MMS 2 Electric Double Probe (EDP) Three-Dimensional Electric Field, Level 2 (L2), Slow Mode, 0.125 s Data

Electric Double Probe, Quick-Look Three-Dimensional Electric Field, Level 2, Slow Survey Data

restrictednotspecifiedAug 2025View details →
nasa8/100

MMS 2 Electric Double Probe (EDP) Three-Dimensional Electric Field, Level 2 (L2), Fast Mode, 31.25 ms Data

Electric Double Probe, Quick-Look Three-Dimensional Electric Field, Level 2, Fast Survey Data

restrictednotspecifiedAug 2025View details →
zenodo4/100

A three-dimensional variational data assimilation system for aerosol optical properties based on WRF-Chem: design, development, and application of assimilating Himawari-8 aerosol observations

<p>Source code and input data for gmd paper (gmd-2021-215-manuscript)</p>

restrictedSep 2021View details →
dryad0/100

A three-dimensional spring-loaded inverted pendulum walking model

The oscillatory behavior of the center of mass (CoM) and the ground reaction forces (GRFs) of walking people can be successfully explained by a 2D spring-loaded inverted pendulum model (SLIP). However, the application of the 2D model is just restricted to a two-dimensional plane and it doesn't take the GRFs in the lateral direction into consideration. In this article, we simulated the gait cycle with a nonlinear dynamic model – a three-dimensional bipedal walking model that compensated for defects in the 2D model. An experiment was conducted to compare the simulation results with the experimentaldata, which revealed that experimental data of the ground reaction forces were in good agreement with the results of numerical simulation. A correlation analysis was also conducted between several initial dynamic parameters of the model. Through an examination of the impact of 3D dynamics parameters on the peaks of GRFs in three directions, we found that the 3D parameters had a major effect on the lateral GRFs. These findings demonstrate that the characteristics of human walking can be interpreted from a simple spring-damper system.

opencc-zeroDec 2019View details →

ScienceDex guides

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

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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

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