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 “FBG”

Learn how ShareScore rates datasets ↗
zenodo44/100

Project STORM: monitoring the masonry of Michelangelo's Cloister, at the Baths of Diocletian, with Fiber Bragg Grating (FBG) sensors. RAW Dataset 2018 - 2019

<p>This dataset for monitoring the masonry of Michelangelo&#39;s Cloister at the Baths of Diocletian (Rome) was created by the University of Tuscia.<br> The measurements are carried out with a Fiber Bragg Grating (FBG) sensors, have been investigated:</p> <ul> <li>Strain of lesions (sensors S0 and S3);</li> <li>Temperature of masonry (sensors S1, S2 and S8);</li> <li>Humidity of masonry (sensors S4, S5, S6 and S7).</li> </ul> <p>The data produced by the sensors were automatically saved them every 30 seconds. The dataset is composed of the data raw obtained from October 2018 to May&nbsp;2019 and separated by month in 8 sheets. In total more than 2 million values were registered, used to understand the slow hazard phenomena present on the monitored masonry.</p> <p>STORM (Safeguarding Cultural Heritage through Technical and Organisational Resources Management) is a HORIZON 2020 funded European Union Cultural Heritage project that aims at the protection of Cultural Heritage through a combination of technical and organizational resources (http://www.storm-project.eu).</p>

opencc-by-4.0Dec 2018View details →
zenodo44/100

Project STORM: monitoring the masonry of Hall I, at the Baths of Diocletian, with Fiber Bragg Grating (FBG) sensors. RAW Dataset 2017 - 2019

<p>This dataset for monitoring the masonry of Hall I at the Baths of Diocletian (Rome) was created by the University of Tuscia.<br> The measurements are carried out with a Fiber Bragg Grating (FBG) sensors, have been investigated:</p> <ul> <li>Strain of lesions (sensors S0, S2&nbsp;and&nbsp;S3);</li> <li>Temperature of masonry (sensors S1, and S8);</li> <li>Humidity of masonry (sensors S4, S5, S6 and S7).</li> </ul> <p>The data produced by the sensors were automatically saved them every 30 seconds. The dataset is composed of the data raw obtained from October 2017&nbsp;to May&nbsp;2019 and separated by month in 14&nbsp;sheets. In total more than 4&nbsp;million values were registered, used to understand the slow hazard phenomena present on the monitored masonry.</p> <p>STORM (Safeguarding Cultural Heritage through Technical and Organisational Resources Management) is a HORIZON 2020 funded European Union Cultural Heritage project that aims at the protection of Cultural Heritage through a combination of technical and organizational resources (http://www.storm-project.eu).</p>

opencc-by-4.0Jun 2019View details →
zenodo40/100

Рис. 2. Варианты преΑсказанной Αоменной структуры патогенраспознающих моΛекуΛ гемоцитов моΛΛюсков Planorbarius corneus. a — фибриногенпоΑобные беΛки, b — гаΛектины, c — F-Λектины. УсΛовные обозначения и сокращения, зΑесь и ΑаΛее: горизонтаΛьные красные поΛоски — сигнаΛьный пептиΑ, горизонтаΛьные розовые — обΛасть низкой сΛожности, вертикаΛьные синие поΛоски — трансмембранная обΛасть, FBG — фибриногеновый Αомен, FTP — Αомен фукоΛектина, EGF — Αомен эпиΑермаΛьного фактора роста, EGF_CA — каΛьцийсвязывающий EGF-поΑобный Αомен, PAN_AP — APPLE-поΑобный Αомен, SCAN — обΛасть, богатая Λейцином, GLECT — гаΛактозосвязывающий Λектин, CLECT — Λектин C-типа, Gal-bind — гаΛактозиΑ–связывающий Λектин, ML — MD-2- поΑробный Αомен распознавания ΛипиΑов Fig. 2. Variants of the predicted domain structure of pattern recognition molecules from hemocytes of Planorbarius corneus molluscs. a — fibrinogen-related proteins, b — galectins, c — F-lectins. Symbols and abbreviations (here and further): horizontal red stripes — signal peptide, horizontal pink stripes — a low complexity region, vertical blue stripes — transmembrane region, FBG — fibrinogen-related domain, FTP — fucolectin domain, EGF — epidermal growth factor-like domain, EGF_CA — calcium-binding EGF-like domain, PAN_AP — APPLE-like domain, SCAN — leucine rich region, Apple — APPLE domain, GLECT — galactose-binding lectin, CLECT — C-type lectin, Gal-bind — galactoside-binding lectin, ML — MD-2-related lipid-recognition domain in Pathogen recognition molecules from hemocytes of Planorbarius corneus molluscs (Planorbidae, Pulmonata)

Рис. 2. Варианты преΑсказанной Αоменной структуры патогенраспознающих моΛекуΛ гемоцитов моΛΛюсков Planorbarius corneus. a — фибриногенпоΑобные беΛки, b — гаΛектины, c — F-Λектины. УсΛовные обозначения и сокращения, зΑесь и ΑаΛее: горизонтаΛьные красные поΛоски — сигнаΛьный пептиΑ, горизонтаΛьные розовые — обΛасть низкой сΛожности, вертикаΛьные синие поΛоски — трансмембранная обΛасть, FBG — фибриногеновый Αомен, FTP — Αомен фукоΛектина, EGF — Αомен эпиΑермаΛьного фактора роста, EGF_CA — каΛьцийсвязывающий EGF-поΑобный Αомен, PAN_AP — APPLE-поΑобный Αомен, SCAN — обΛасть, богатая Λейцином, GLECT — гаΛактозосвязывающий Λектин, CLECT — Λектин C-типа, Gal-bind — гаΛактозиΑ–связывающий Λектин, ML — MD-2- поΑробный Αомен распознавания ΛипиΑов Fig. 2. Variants of the predicted domain structure of pattern recognition molecules from hemocytes of Planorbarius corneus molluscs. a — fibrinogen-related proteins, b — galectins, c — F-lectins. Symbols and abbreviations (here and further): horizontal red stripes — signal peptide, horizontal pink stripes — a low complexity region, vertical blue stripes — transmembrane region, FBG — fibrinogen-related domain, FTP — fucolectin domain, EGF — epidermal growth factor-like domain, EGF_CA — calcium-binding EGF-like domain, PAN_AP — APPLE-like domain, SCAN — leucine rich region, Apple — APPLE domain, GLECT — galactose-binding lectin, CLECT — C-type lectin, Gal-bind — galactoside-binding lectin, ML — MD-2-related lipid-recognition domain

opencc-by-4.0Jul 2024View details →
zenodo36/100

Strain Measurements made in the blade with FBG and DFO sensors.

<p><span>Record of Strain measurements made in the blade with FBG and DFO sensors. The blade strain measurements are collected in order to carry out monitoring activities of the structural health of the blade developed as part of the MAREWIND project.</span></p>

opencc-by-4.0Nov 2024View details →
zenodo32/100

Study of the Guided Wave Sensing by Hybrid Piezoelectric-FBG Approach

<p><span>The objects of the investigation was the panel with dimensions: 1000 mm &times; 1000 mm &times; 1 mm made out of aluminium alloy. Elastic waves generation was conducted by piezoceramic actuator (PZT A) in the form of disc. Three diameters of actuators were investigated 10 mm, 20 mm and 30 mm. Actuator was located in the middle of the top surface of the panel</span><span>. The elastic wave sensing was conducted by pair of FBG sensors (on the top and bottom surfaces of panel)</span><span>. Excitation signal &ndash; five cycles of sine modulated by Hann window function (tone burst). Excitation frequencies 60 kHz 250 kHz with step 10 kHz. Attached folder contains the data and description file with figure.</span></p> <p>&nbsp;</p> <p><span>The measurements were conducted under the research related to grant agreement no. <strong>2020/39/B/ST8/01753</strong> in the frame of the OPUS project entitled: "Study of elastic wave mode sensing and separation using FBG sensors for structural health monitoring ", supported by the <strong>National Science Centre, Poland</strong>.</span></p>

opencc-zeroMar 2024View details →
zenodo32/100

Strain Measurements made in the blade with FBG and DFO sensors

<p>Record of Strain measurements made in the blade with FBG and DFO sensors. The blade strain measurements are collected in order to carry out monitoring activities of the structural health of the blade developed as part of the MAREWIND project.</p>

opencc-by-4.0Nov 2024View details →
zenodo32/100

Dataset for publication: Investigating the use of Polarization maintaining FBG sensors for GW based SHM

<p>The upload contains code and data files for generating plots for Polarization maintaining FBG sensor from all slopes ( upward and downward of 2 peaks).</p> <p>The measurement campaign will be explained in detail in a journal article which is in preparation. The link to the article will be updated.</p> <p>Frequencies from 40-200 kHz were excited.</p> <p>Type of data: matlab files, data and code</p> <p>language: english</p> <p>Dataset was used for the publication: Investigating the use of Polarization maintaining FBG sensors for GW based SHM</p> <p>The measurements were conducted under the&nbsp;project &ldquo;Guided waves based reference-free SHM using fiber Bragg grating sensors (REF-FREE)&rdquo; (2020/39/D/ST8/00188) granted by National Science Center, Poland.</p>

opencc-zeroDec 2022View details →
zenodo32/100

Guided wave measurements based on dual PZT and FBG sensors in aluminium plate

<p>The upload contains data files for measurement on aluminium plate 1000 mm x 1000 mm x 1 mm for the case of PZT actuation (in the middle) sesing 250 mm from actuation by pairs of 2xFBG and&nbsp; 2xPZT sensors (located as a pairs located on the left and right sied of actuator). Each pair contains of the sam sensor on the top and bottom surface. Frequencies 50-250 kHz, excitation: 5 cycles of sine modulated by Hann window.</p> <p>The measurement campaign will be explained in details in a journal article which is in preparation. The link to the article will be updated.&nbsp;</p> <p>The measurements were conducted under the research related to grant agreement no. 2020/39/B/ST8/01753 in the frame of the OPUS project entitled: &quot;Study of elastic wave mode sensing and separation using FBG sensors for structural health monitoring &quot;,&nbsp;supported by the National Science Centre, Poland.</p>

opencc-zeroMar 2023View details →
ClinicalTrials.gov20/100

A Study on the Regenerative Treatment of Tympanic Membrane With NPC-18 and FBG-18

ClinicalTrials.gov study NCT02550314. IPD Sharing: UNDECIDED. Countries: 0. Publications: 0.

restrictedIPD-UNDECIDEDFeb 2026View 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