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.

7

datasets available to search

ShareScore release 0.9.0

Reset

Dataset results

7 results for “porous silicon”

Learn how ShareScore rates datasets ↗
zenodo40/100

Figure 4: Nyquist diagrams ² 00 (!¿¾) = f(² 0 (!¿¾))T 166-TOWARD THE PHYSICAL BASIS OF COMPLEX SYSTEMS: DIELECTRIC ANALYSIS OF POROUS SILICON NANOCHANNELS IN THE ELECTRICAL DOUBLE LAYER LENGTH RANGE

<p>Fig.4. This behaviour denotes that the EDL is not an ideally<br> capacitor, but also is not a disipative region, depending both on the EDL<br> thickness and the frequency range of the applied &macr;eld [7]. The composition<br> (by thickness) of the EDL determines essentially the dielectric response of the<br> interface system. Compared with experimental results, the dielectric pro&macr;le<br> of this higher length scales model, can provides a more complet description of<br> the solvent properties for a given electrode.</p>

opencc-by-4.0Sep 2010View details →
zenodo40/100

Figure 1: EDL structure for p-Si-TOWARD THE PHYSICAL BASIS OF COMPLEX SYSTEMS: DIELECTRIC ANALYSIS OF POROUS SILICON NANOCHANNELS IN THE ELECTRICAL DOUBLE LAYER LENGTH RANGE

<p>Figure 1: EDL structure for p-Si (SCL negative charged,&sup2;F &lt; &sup2;FR )/aqueous<br> solvent interface. The electrostatic potential and charged atoms in solvent<br> distributions vs the distance z from the wall.</p>

opencc-by-4.0Sep 2010View details →
zenodo40/100

Figure 3: The dependencies ² 00 (log !¿¾). The values are normalized at ² 00 max-TOWARD THE PHYSICAL BASIS OF COMPLEX SYSTEMS: DIELECTRIC ANALYSIS OF POROUS SILICON NANOCHANNELS IN THE ELECTRICAL DOUBLE LAYER LENGTH RANGE

<p>Fig.3. The conductivity relaxation occurs at<br> lowing frequencies. The form of the &sup2;<br> 00<br> (!) = f(&sup2;<br> 0<br> (!)) diagrams changes from<br> a vertical line (a), to any deformate semicircles (b, c, d) having the angle to<br> real axe below &frac14;<br> 2 , Fig.4. This behaviour denotes that the EDL is not an ideally<br> capacitor, but also is not a disipative region, depending both on the EDL<br> thickness and the frequency range of the applied &macr;eld [7]. The composition<br> (by thickness) of the EDL determines essentially the dielectric response of the<br> interface system. Compared with experimental results, the dielectric pro&macr;le<br> of this higher length scales model, can provides a more complet description of<br> the solvent properties for a given electrode.</p>

opencc-by-4.0Sep 2010View details →
zenodo40/100

Figure 2: The dependencies ² 0 (log !¿¾). The values are normalized at ² 0 max-TOWARD THE PHYSICAL BASIS OF COMPLEX SYSTEMS: DIELECTRIC ANALYSIS OF POROUS SILICON NANOCHANNELS IN THE ELECTRICAL DOUBLE LAYER LENGTH RANGE

<p>The results of the model are shown that the frequency-dependences &sup2;<br> 0<br> (log(!&iquest;&frac34;))<br> in Fig.2, &sup2;<br> 00(log(!&iquest;&frac34;)) in Fig.3 and &sup2;<br> 00<br> (&sup2;<br> 0<br> )T in Fig.4, where &sup2;<br> 0<br> , &sup2;<br> 00<br> are the real and<br> imaginary part, respectively, from (7), having the &cedil;D<br> &cedil; ratio as parameter.</p>

opencc-by-4.0Sep 2010View details →
ClinicalTrials.gov36/100

Comparison of Silicone and Porous Plate Ahmed Glaucoma Valves

ClinicalTrials.gov study NCT01883856. IPD Sharing: NO. Countries: 1. Publications: 1.

closedIPD-NOFeb 2026View details →
zenodo32/100

Porous Silicon Biosensor for the Detection of Bacteria Through Their Lysate: Data

<p>This file contains:</p> <p>- Characterization data of porous silicon layer based on different etching parameters</p> <p>- Relative EOT shift on PSi layers for different analytes</p> <p>- Relative EOT shift on PSi membranes for different analytes</p> <p>- EOT shift on PSi membranes with respect to refractive index changes</p>

opencc-by-4.0Jan 2021View details →
zenodo32/100

Research data supporting "Porous silicon nanoneedles modulate endocytosis to deliver biological payloads"

<p>Research data supporting of Gopal S. et al., 2019, Advanced Materials, DOI: 10.1002/adma.201806788</p>

opencc-by-4.0Jan 2019View 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