Skip to main content
Powered by ShareScore

Find research datasets worth reusing

Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.

9

datasets available to search

ShareScore release 0.9.0

Reset

Dataset results

9 results for “microchip”

Learn how ShareScore rates datasets ↗
zenodo44/100

Elliptical Alignment Holes Enabling Accurate Direct Assembly of Microchips to Standard Waveguide Flanges at sub-THz Frequencies - Dataset

<p>Current waveguide flange standards do not allow for the accurate fitting of microchips, due to the large mechanical tolerances of the flange alignment pins and the brittle nature of Silicon, requiring greatly oversized alignment holes on the chip to fit worst-case fabrication tolerances, resulting in unacceptably large misalignment error for sub-THz frequencies. This paper presents, for the first time, a new method for directly aligning micromachined Silicon chips to standard, i.e. unmodified, waveguide flanges with alignment accuracy significantly better than the waveguide-flange fabrication tolerances, through the combination of a tightly-fitting circular and an elliptical alignment hole on the chip. A Monte Carlo analysis predicts the reduction of the mechanical assembly margin by a factor of 5.5 compared to conventional circular holes, reducing the potential chip misalignment from 46 μm to 8.5 μm for a probability of fitting of 99.5%. For experimental verification, micromachined waveguide chips using either conventional (oversized) circular or the proposed elliptical alignment holes were fabricated and measured. A reduction in the standard deviation of the reflection coefficient by a factor of up to 20 was experimentally observed from a total of 200 measurements with random chip placement, exceeding the<br> expectations from the Monte Carlo analysis. To our knowledge, this paper presents the first solution for highly accurate assembly<br> of micromachined waveguide chips to standard waveguide flanges, requiring no custom flanges or other tailor-made split blocks.<br>  </p>

opencc-by-nc-4.0Jun 2017View details →
zenodo40/100

Dataset: Microchip Technology Incorporated (MCHP) Stock Performance

This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.

opencc-zeroJun 2024View details →
dryad36/100

Data for: Sensitive and specific detection of tumor-derived exosomes using nanopore-crystal microchips

<p>Tumor-derived exosomes (tExos) have emerged as promising circulating biomarkers for early cancer diagnosis. However, the sensitivity and specificity of existing assays often limit the clinical translation of tExos. In this study, we present a highly versatile microfluidic platform, termed the nanopore-crystal microchip (NC-Chip), for specific isolation and ultrasensitive detection of tExos in as little as 0.5 μL of plasma samples from pancreatic cancer (PC) patients. The NC-Chip incorporates a herringbone-patterned hierarchical porous hydrogel scaffold, enabling fluid manipulation, size exclusion, immunoaffinity capture, and signal amplification. These integrated features significantly enhance the sensitivity and specificity of tExos assays in complex clinical scenarios. Utilizing an eight-protein signature, the NC-Chip can distinguish patients with pancreatitis and non-metastatic PC with 100% accuracy in the training cohort and 94.9% accuracy in the validation cohort. This platform is sensitive, specific, inexpensive, and only needs small-volume samples, offering a powerful exosome-based liquid biopsy tool for early PC diagnosis.</p>

opencc-zeroJan 2024View details →
dryad36/100

Data for: Sensitive and specific detection of tumor-derived exosomes using nanopore-crystal microchips

Open the record for dataset details and reuse information.

publicJan 2024View details →
zenodo32/100

Data from: Quantum Membrane Accelerometer Microchip

<p>Source data for figures.</p>

opencc-by-4.0Feb 2022View details →
ClinicalTrials.gov32/100

Comparison of the Effect of Microchip and Density Gradient Methods in Intrauterine Insemination Cycles

ClinicalTrials.gov study NCT04144244. IPD Sharing: Not stated. Countries: 1. Publications: 2.

restrictedIPD-UNDECIDEDFeb 2026View details →
ClinicalTrials.gov24/100

Allergy Diagnostic Test Based on Microchip Technology

ClinicalTrials.gov study NCT06167564. IPD Sharing: Not stated. Countries: 1. Publications: 0.

restrictedIPD-UNDECIDEDFeb 2026View details →
geo24/100

Custom microchip analysis identifies differentially expressed non-coding RNAs in Epstein-Barr virus-infected B cells

GEO Series GSE20441. Homo sapiens; Human herpesvirus 4 strain B95-8. 10 samples. Type: Non-coding RNA profiling by array.

openGEO-OpenOct 2010View details →
geo16/100

Linking Antigen Specific T cell Dynamics in a Microchip to Single Cell Transcription Patterns

GEO Series GSE202976. Mus musculus. 29 samples. Type: Expression profiling by high throughput sequencing.

openGEO-OpenMay 2025View details →

ScienceDex guides

Understand access before you commit

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