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5,931 results for “laterality”

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geo16/100

Small RNA sequencing of perilesional cortex and ipsilateral thalamus at 3-months after lateral fluid-percussion injury or sham-operation

GEO Series GSE192980. Rattus norvegicus. 24 samples. Type: Non-coding RNA profiling by high throughput sequencing.

openGEO-OpenJan 2022View details →
geo16/100

Bidirectional regulation of social memory by two distinct types of GABAergic neurons in the lateral septum

GEO Series GSE273782. Mus musculus. 3 samples. Type: Expression profiling by high throughput sequencing.

openGEO-OpenJan 2026View details →
geo16/100

Transcriptome analysis of lateral buds from Phyllostachys edulis rhizome during germination and early shoot stages

GEO Series GSE142030. Phyllostachys edulis. 2 samples. Type: Expression profiling by high throughput sequencing.

openGEO-OpenDec 2019View details →
geo16/100

Differential Cellular Mechanisms Underlie Language and Executive Decline in Amyotrophic Lateral Sclerosis

GEO Series GSE315586. Homo sapiens. 414 samples. Type: Expression profiling by high throughput sequencing; Genome binding/occupancy profiling by high throughput sequencing; Other.

openGEO-OpenJan 2026View details →
geo16/100

Multi-omics Profiling of the Lateral Ventricle Choroid Plexus Reveals Temporal Cellular Remodeling, Early Immune Gene Activation, and a Novel Epithelial Subtype [scRNA-seq]

GEO Series GSE296842. Mus musculus. 8 samples. Type: Expression profiling by high throughput sequencing.

openGEO-OpenMay 2025View details →
geo16/100

Single cell-seq identify discoid lateral meniscus

GEO Series GSE162767. Homo sapiens. 2 samples. Type: Expression profiling by high throughput sequencing.

openGEO-OpenDec 2023View details →
geo16/100

Hyperactive lateral habenula mediates the comorbidity between rheumatoid arthritis and depression-like behaviors

GEO Series GSE241929. Mus musculus. 11 samples. Type: Expression profiling by high throughput sequencing.

openGEO-OpenAug 2025View details →
geo16/100

Gene expression profile in sciatic nerve from presymptomatic SOD1G93A Amyotrophic Lateral Sclerosis animal model

GEO Series GSE69450. Mus musculus. 8 samples. Type: Expression profiling by array.

openGEO-OpenJun 2015View details →
zenodo16/100

FIGURES 9–10. Nonnus spp., lateral habitus. 9. N in First record of Nesomesochorinae (Hymenoptera: Ichneumonidae) from America north of Mexico with descriptions of two new species of Nonnus Cresson

FIGURES 9–10. Nonnus spp., lateral habitus. 9. N. antennatus Cresson, holotype female; ANSP.

opennotspecifiedMay 2020View details →
zenodo16/100

FIGURE 2. Indosialis bannaensis, lateral view. A in The alderfly genus Indosialis Lestage, 1927 (Megaloptera: Sialidae) in Thailand and Laos, with a description of a new species

FIGURE 2. Indosialis bannaensis, lateral view. A. male; B. female. Scale bar: 5.00 mm.

opennotspecifiedJun 2020View details →
zenodo16/100

FIGURE 17. Mesonotum, A frontal view, B–C lateral view. A–B in Revisited morphology applied for Systematics of flat wasps (Hymenoptera, Bethylidae)

FIGURE 17. Mesonotum, A frontal view, B–C lateral view. A–B. Pristocera ♂; C. Pristocera ♂.

opennotspecifiedMar 2020View details →
zenodo16/100

An exploratory study on counterfactual thinking in amyotrophic lateral sclerosis

<p>Datasets associated with the paper: 'An exploratory study on counterfactual thinking in amyotrophic lateral sclerosis'</p>

restrictedcc-by-4.0Nov 2023View details →
zenodo16/100

Dataset related to article: Distinct neural signatures of pulvinar in C9orf72 amyotrophic lateral sclerosis mutation carriers and noncarriers

<table> <tbody> <tr> <td> <p><span>The database includes clinical and MRI morphological data from a sample of 19 ALS patients carrying the C9orf72 mutation (ALSC9+), 19 non-mutation-carriers ALS patients (ALSC9-), and 19 ALS mimics (ALSmimics). The reported data consist of:<span>&nbsp; </span>demographic data (i.e., Age and Sex assigned at birth), clinical data (i.e., Bulbar/spinal onset, ALSFRS, Survival, disease duration, and King's Staging System scores), and volumetric information on the pulvinar subniclei (mm^3 and percentage of intracranial volume).</span></p> </td> </tr> </tbody> </table>

restrictedMay 2024View details →
zenodo16/100

The response of the bicycle rider's body to vertical, fore-and-aft and lateral perturbations

<p>In bicycles the rider&rsquo;s mass is much larger than the vehicle&rsquo;s mass. Hence, the rider influences the dynamic behaviour of the bicycle not only by means of voluntary control actions, but also by means of passive response of his/her body to bicycle oscillations. As a matter of fact, the rider&rsquo;s body has inertial, stiffness and damping properties that are combined with the bicycle characteristics and affect the dynamic response of the whole system. More specific, the stabilization of dangerous oscillatory two-wheeler modes such as weave and wobble can be significantly influenced by the rider&rsquo;s properties. For these reason, it is prerequisite to identify the passive response of the rider&rsquo;s body to study the dynamic behaviour of the combined bicycle-rider system.</p> <p>To measure the rider response an instrumented bicycle mock up fitted with strain gauges at all interfaces has been developed. The frame was designed to recreate the geometry of a hybrid bicycle and has a reach to handlebars equal to 32 cm and a stack height to handlebars equal to 75cm. The bicycle mock-up was mounted on a top of a hexapod and was excited using&nbsp; coloured noise perturbations in all 6 degrees of freedom (DoF). The force response of the rider body was measured at all bicycle interfaces. Two IMU&#39;s were also used to measure the transmissibility of the upper rider trunk. One IMU was placed on the base of the platform and one at the rider&#39;s sternum</p> <p>The repository contains the following folders and files:</p> <ul> <li><strong>BSc thesis: </strong>&nbsp;contains the report of&nbsp;bachelor student Toni Prats.pdf.</li> <li><strong>CAD :</strong> contains the Solidworks drawings of the bicycle mock up.</li> <li><strong>Data_analysis apparent mass (APMS)</strong> and <strong>seat-to-sternum transmissibility (STST)</strong> folders includes the mat.scripts to obtain the transfer functions (TRFs).</li> </ul> <p><strong>Note:</strong> The data analysis method is described at passive rider identification.docx which is inside the Data_analysis apparent mass (APMS) folder. To plot the APMS transfer functions first run &quot;interface_forces_24subs.m&quot; (located in Force_Data folder) to obtain the required &quot;force_signals_SI_t1_t2&quot;, afterwards copy paste the force_signals inside the analysis folder and run &quot;TF_5_interfaces_24_subs.m&quot; for the selected motion</p> <ul> <li><strong>Ethnical:</strong> contains the ethics and technical device inspection approval which is prerequisite from TU Delft for human factor research.</li> <li><strong>Force_data:</strong> contains the rider&#39;s force responses at all bicycle interfaces.</li> <li>&nbsp;<strong>IMU_data</strong> and&nbsp; <strong>IMU_data_Upper trunk</strong> includes the measured translational accelerations and angular velocities of the platform and rider&#39;s upper trunk.</li> <li><strong>Labview:</strong> has the software used for data login the strain-gauge signals.</li> <li><strong>Pictures:&nbsp;</strong>contains photos of the bicycle mock-up and subjects.</li> <li><strong>PVA_signals:</strong> contains mat.script to generate the applied perturbation signals.</li> <li><strong>Strain gauge calibration:</strong> includes the calibration and voltage sign and locations.xlsx which contain the voltage/force equations and force sign conventions for all bicycle interfaces respectively.</li> <li><strong>Subjective data:</strong>&nbsp; contains the NASA TLX data, mat.script.</li> </ul> <p><strong>Supplementary paper material:</strong></p> <ul> <li><strong>Assymetric.xlsx</strong> contains the symmetric and&nbsp; asymmetric elements of the dynamic force distribution.</li> <li><strong>Coorelation.jpg </strong>shows the correlation between the performance and effort &nbsp;scale of NASA &quot;Raw-TLX&quot;.</li> <li><strong>Schematic 1.jpg</strong> represents the trunk-pelvis system of the rider as a horizontal moving inverted pendulum, see discussion section of paper.&nbsp;</li> </ul>

restrictedJun 2019View details →
zenodo16/100

Dataset related to article "Invasive IPMN relapse later and more often in lungs in comparison to pancreatic ductal adenocarcinoma"

<p>This record contains data related to article &ldquo;Invasive IPMN relapse later and more often in lungs in comparison to pancreatic ductal adenocarcinoma&rdquo;</p> <p><strong>Background: </strong> The different oncological outcomes of invasive intraductal papillary mucinous neoplasm (I-IPMN) and pancreatic ductal adenocarcinoma (PDAC) are debated. This study aimed to compare disease recurrence patterns and histopathological characteristics in patients with resected I-IPMN and PDAC.</p> <p><strong>Methods: </strong> Consecutive patients undergoing surgical resection for stage I-III I-IPMN or PDAC between 2010 and 2016 were retrospectively analyzed. Patients treated with neoadjuvant therapy or resected for Tis neoplasia were excluded. All surgical specimens were re-staged according to AJCC-8th-edition.</p> <p><strong>Results: </strong> A total of 330 patients were included, of whom 43 had I-IPMN and 287 had PDAC. Median follow-up time was 26.7 (1.3-92.3) months and estimated median disease-free survival (DFS) was 60.3 months (47.2-73.4) for I-IPMN and 23.8 (19.3-28.2) months for PDAC (p &lt; 0.001). During follow-up, 32.6% of I-IPMN and 67.9% of PDAC patients experienced recurrence (p &lt; 0.001). The sites of first recurrence were the lungs (38.5% vs 13.1%, p = 0.027), liver (28.6% vs 45.0%, p = 0.180) and local (15.4% vs 36.6%, p = 0.101) for I-IPMN and PDAC, respectively. At multivariate analysis, I-IPMN histology remained an independent predictive factor for longer DFS (OR 0.528, CI 95% 0.278-1.000, p = 0.050), regardless of stage or adjuvant chemotherapy. I-IPMN and PDAC differed in rates of neuroinvasion (51.2% vs 97.2%) and positive lymph node status (N+) (46.5% vs 82.7%), especially in patients with lower T status.</p> <p><strong>Conclusion: </strong> I-IPMN showed a different recurrence pattern compared to PDAC, with a higher lung tropism, and longer DFS. This different biological behavior is associated with lower rates of neuroinvasion and nodal involvement, especially in early-stage disease.</p>

restrictedNov 2022View details →
zenodo16/100

Dynamic measurements - Lateral characteristics of bicycle tyres

<p>Measurement of lateral characteristics of bicycle tyres performed through indoor test-rig VeTyT (Department of Mechanical Engineering, Politecnico di Milano, Milan IT). It is the only test-rig for bicycle tyres complying to the standard ISO 9001-2015.</p> <p>&nbsp;</p> <p>For additional references:</p> <p>- Dell&#39;Orto, G., Ballo, F. M., Mastinu, G., Gobbi, M. (2022). Bicycle tyres &ndash; development of a new test-rig to measure mechanical characteristics. <em>Measurement</em>, 202, 111813. <a href="https://doi.org/10.1016/j.measurement.2022.111813">https://doi.org/10.1016/j.measurement.2022.111813</a></p> <p>- Dell&rsquo;Orto, G., Ballo, F. M., Mastinu, G. (2022). Experimental methods to measure the lateral characteristics of bicycle tyres &ndash; a review.&nbsp;<em>Vehicle System Dynamics</em>, 1&ndash;23. <a href="https://doi.org/10.1080/00423114.2022.2144388">https://doi.org/10.1080/00423114.2022.2144388</a></p> <p>&nbsp;</p>

restrictedFeb 2023View details →
zenodo16/100

Static measurements - Lateral stiffness of bicycle tyres

<p>Measurement of lateral stiffness of&nbsp;bicycle tyres (static measurement) performed through indoor test-rig VeTyT (Department of Mechanical Engineering, Politecnico di Milano, Milan IT). It is the only test-rig for bicycle tyres complying to the standard ISO 9001-2015.</p> <p>&nbsp;</p> <p>For additional references:</p> <p>- Dell&#39;Orto, G., Ballo, F. M., Mastinu, G., Gobbi, M. (2022). Bicycle tyres &ndash; development of a new test-rig to measure mechanical characteristics. <em>Measurement</em>, 202, 111813. <a href="https://doi.org/10.1016/j.measurement.2022.111813">https://doi.org/10.1016/j.measurement.2022.111813</a></p> <p>- Dell&rsquo;Orto, G., Ballo, F. M., Mastinu, G. (2022). Experimental methods to measure the lateral characteristics of bicycle tyres &ndash; a review.&nbsp;<em>Vehicle System Dynamics</em>, 1&ndash;23. <a href="https://doi.org/10.1080/00423114.2022.2144388">https://doi.org/10.1080/00423114.2022.2144388</a></p>

restrictedFeb 2023View details →
ClinicalTrials.gov16/100

Treating Amyotrophic Lateral Sclerosis (ALS) With R(+) Pramipexole Dihydrochloride Monohydrate at 60 mg/Day

ClinicalTrials.gov study NCT00596115. IPD Sharing: Not stated. Countries: 0. Publications: 0.

restrictedIPD-UNDECIDEDFeb 2026View details →
ClinicalTrials.gov16/100

Prophylactic Selective Lateral Neck Dissection in Patients With Papillary Thyroid Carcinoma

ClinicalTrials.gov study NCT01103557. IPD Sharing: Not stated. Countries: 0. Publications: 0.

restrictedIPD-UNDECIDEDFeb 2026View details →
ClinicalTrials.gov16/100

Expanded Access Protocol of BHV-0223 for Patients With Amyotrophic Lateral Sclerosis (ALS)

ClinicalTrials.gov study NCT03537807. IPD Sharing: Not stated. Countries: 0. Publications: 0.

restrictedIPD-UNDECIDEDFeb 2026View 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

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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.