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.
1,162
datasets available to search
ShareScore release 0.9.0
Dataset results
1,162 results for “fiber”
FIGURE 3 in Fur mites of the genus Schizocarpus Trouessart (Acari: Chirodiscidae) from the Eurasian beaver Castor fiber tuvinicus Lavrov (Rodentia: Castoridae) in the Azas River (Tuva Republic, Russia)
FIGURE 3. Schizocarpus lavrovi sp. nov., male: A—opisthosoma in dorsal view; B—same, in ventral view.
Data for: Methodological choices in size and density fractionation of soil carbon reserves – A case study on wood fiber sludge amended soils
<p>A myriad of methods is currently being applied in soil carbon research encompassing major variation in the basic principles and minor variation in details. The most proper method is dependent on the research question and soil type, wherefore a consensus will likely never be reached, and it is difficult to label any method inappropriate. Both the fundamental and the subtle choices in methodology affect the results, wherefore increasing the method-related understanding of soil, agricultural and environmental scientists is of utmost importance. In scientific literature, methods are often not thoroughly presented, let alone reasoned. With this data, we discuss methodological choices in soil carbon fractionation. In addition, our case study follows the effects of pulp mill sludge amendments on soil carbon in a Luvic Stagnosol and Dystric Arenosol. Organic materials are being applied to soil to increase productivity and soil carbon storage. Our results show the difficulties of accumulating carbon in the stable, mineral associated pool, when the carbon content is initially relatively high, and the sorption capacity of the mineral phase already largely occupied. </p>
Targeted micro-fiber arrays for measuring and manipulating localized multi-scale neural dynamics over large, deep brain volumes during behavior: resources and main figure data
<p><strong>Summary:</strong></p> <p>Neural population dynamics relevant for behavior vary over multiple spatial and temporal scales across 3-dimensional volumes. Current optical approaches lack the spatial coverage and resolution necessary to measure and manipulate naturally occurring patterns of large-scale, distributed dynamics within and across deep brain regions such as the striatum. We designed a new micro-fiber array approach capable of chronically measuring and optogenetically manipulating local dynamics across over 100 targeted locations simultaneously in head-fixed and freely moving mice. We developed a semi-automated micro-CT based strategy to precisely localize positions of each optical fiber. This highly-customizable approach enables investigation of multi-scale spatial and temporal patterns of cell-type and neurotransmitter specific signals over arbitrary 3-D volumes at a spatial resolution and coverage previously inaccessible. We applied this method to resolve rapid dopamine release dynamics across the striatum volume which revealed distinct, modality specific spatiotemporal patterns in response to salient sensory stimuli extending over millimeters of tissue. Targeted optogenetics through our fiber arrays enabled flexible control of neural signaling on multiple spatial scales, better matching endogenous signaling patterns, and spatial localization of behavioral function across large circuits. </p> <p><strong>Files included: </strong></p> <ul> <li>Vu, M-A. et al. (2023) - Key Resources Table.xlsx -- key resources used in this study</li> <li>README_figure_data_and_analysis.txt --a description of the organization of the files within this repository</li> <li>README_preprocessing_code.txt -- details about the preprocessing pipeline (including registration and localization pipelines) and annotation of the preprocessed data structure</li> <li>preprocessing_code.zip -- contains all the preprocessing code</li> <li>Fig01.zip -- preprocessed data and analysis code for main Figure 1</li> <li>Fig03.zip -- preprocessed data and analysis code for main Figure 3</li> <li>Fig04.zip -- preprocessed data and analysis code for main Figure 4</li> <li>Fig05.zip -- preprocessed data and analysis code for main Figure 5</li> <li>Fig06.zip -- preprocessed data and analysis code for main Figure 6</li> <li>Fig07.zip -- preprocessed data and analysis code for main Figure 7</li> <li>SuppFig01.zip -- preprocessed data and analysis code for supplemental Figure 1</li> <li>SuppFig02.zip -- preprocessed data and analysis code for supplemental Figure 2</li> <li>SuppFig03.zip -- preprocessed data and analysis code for supplemental Figure 3</li> <li>SuppFig04.zip -- preprocessed data and analysis code for supplemental Figure 4</li> <li>SuppFig05.zip -- preprocessed data and analysis code for supplemental Figure 5</li> <li>SuppFig06.zip -- preprocessed data and analysis code for supplemental Figure 6</li> <li>SuppFig07.zip -- preprocessed data and analysis code for supplemental Figure 7</li> </ul> <p>Each .zip file contains a folder corresponding to a figure. Within each figure folder will be a folder corresponding to the letter (e.g., A, B, C) of the panel within the figure. In addition to the panel folders, when applicable, there may also be a folder containing general-use functions or scripts, or interim results .mat files, that are called by the scripts within the subfolders. In each subfolder there will be 3 things:</p> <ol> <li>a folder of preprocessed data (see README_preprocessing_code.txt)</li> <li>a folder of the analysis scripts that analyzed the preprocessed data and generated the figure</li> <li>a README text file detailing the contents of both folders and the analysis workflow.</li> </ol> <p> </p>
Datasets underlying manuscript "Earthquake observatory with coherent laser interferometry on the telecom fiber network"
<p>Refers to the paper: "Seismic monitoring using the telecom fiber network" by S. Donadello et al.., Communications Earth and Environment, 5,178 (2024). DOI: 10.1038/s43247-024-01338-2</p> <p>Data are structured in folders corresponding to manuscript figures 1 to 4 and Extended Figures S1 to S6.</p> <p>Headers unambiguously indicate the listed quantities.</p> <p>Minimal python scripts are provided to support interpretation and visualization</p>
Stimulated Raman photothermal spectroscopy for gas sensing in a hollow-core optical fiber
<p>This folder supplies the raw data and the plot data for the Figs. of 'Stimulated Raman photothermal spectroscopy for gas sensing in a hollow-core optical fiber' by Hanyu Liao, Yan Zhao, etc.</p>
Proximate and fiber composition of Commelina species
Open the record for dataset details and reuse information.
Creep behavior of short glass fiber reinforced poly(butylene terephthalate) and its prediction based on the matrix creep using an elementary volume approach
<p><span>The creep compliances of short glass fiber reinforced poly(butylene terephthalate) composites (SFRC PBT) plates processed by conventional injection molding and push pull processing were determined parallel and perpendicular to the flow direction using a tensile creep stand. The fiber weight contents of the plates were 0, 20 and 30 %. Tensile test bars were taken out of the plates parallel and perpendicular to the flow direction to determine short-term mechanical properties, fiber length distribution and fiber orientation distribution necessary for subsequent modelling. An elementary volume approach was used to calculate the longitudinal and transverse creep compliances in the main axes system showing that their time dependencies are governed by the creep of the PBT matrix only. As the plates hardly exhibit any fiber orientation in the thickness direction, the components of the 2D compliance tensor were transformed according to RM Jones’ <em>Mechanics of composite materials</em> to take into account the fiber misalignment in SFRC. This transformation introduces the unknown shear modulus G<sub>12</sub> to the components of the transformed compliances tensor. This problem could be overcome as G<sub>12</sub> can be expressed in terms of the transverse compliance J<sub>22</sub> and a shear correction factor within the EV approach. Comparing the predicted creep compliances to measured ones resulted in an underestimation of 15 to 30 % parallel and 5 to 15 % perpendicular to the flow direction. This underestimation can be attributed to a large extent to a non-perfect fiber matrix adhesion. Furthermore, SEM pictures of fracture surfaces show different failure behavior parallel to the fiber axis and perpendicular to it. Thus, the fiber matrix adhesion seems to depend on the direction of stress with respect to the fiber axes. The time range of well correspondence of matrix creep and composites creep can be expressed by the creep time limit which decreases exponentially with increasing creep stresses.</span></p>
In vivo evaluation of thermally drawn biodegradable optical fibers as brain implants
<p><strong>Dataset for Thermal, Molecular, and Optical Characterization of PDLLA Optical Fibers</strong></p> <p><span>Parinaz Abdollahian<sup>a,b</sup>,<sup> </sup>Kunyang Sui<sup>a,b</sup>, Guanghui Li<sup>b</sup>, Jiachen Wang<sup>a</sup>, Cuiling Zhang<sup>a</sup>, Yazhou Wang<sup>a</sup>, Rune W. Berg<sup>b</sup>, Marcello Meneghetti<sup>a,b</sup>, and Christos Markos<sup>*a</sup></span></p> <p><span><span>a. Department of Photonics and Electronic Engineering, Denmark Technical University, Denmark</span></span></p> <p><span><span>b. Department of Neuroscience, Copenhagen University, Copenhagen, Denmark</span></span></p> <p><strong>Description</strong>:<br>This dataset includes the experimental data and characterization results for amorphous poly(D,L-lactic acid) (PDLLA) optical fibers used in the study titled "In vivo evaluation of thermally drawn biodegradable optical fibers as brain implants." The dataset comprises the following key measurements:</p> <ol> <li><strong>Differential Scanning Calorimetry (DSC)</strong>: <ul> <li>Thermograms of PDLLA granules as purchased and after quenching, used to analyze thermal transitions.</li> </ul> </li> <li><strong>Gel Permeation Chromatography (GPC)</strong>: <ul> <li>Molecular weight data of PDLLA before and after in vivo degradation.</li> </ul> </li> <li><strong>Optical Transmission</strong>: <ul> <li>Spectral data for PDLLA fibers of different diameters (150 µm, 250 µm, and 320 µm) and their transmission properties before and after in vitro degradation in phosphate-buffered saline (PBS).</li> </ul> </li> </ol> <p><strong>Purpose</strong>:<br>The data support the evaluation of the thermal stability, molecular degradation, and optical performance of PDLLA fibers under in vitro and in vivo conditions. The goal is to assess their suitability as biodegradable neural interfaces for biomedical applications.</p> <p><strong>Methods</strong>:</p> <ul> <li>DSC was performed on a Q 2000 instrument with a temperature range of -10°C to 200°C at a heating rate of 10°C/min and a cooling rate of 50°C/min.</li> <li>GPC was conducted using a TOSOH HLC-8320 to measure molecular weight distributions.</li> <li>Optical transmission was characterized using a broadband supercontinuum source (NKT SuperK Extreme) and an ANDO AQ-6315A optical spectrum analyzer.</li> </ul> <p><strong>File Contents</strong>:</p> <ul> <li>DSC raw and processed data for granules and quenched PDLLA.</li> <li>GPC chromatograms and molecular weight calculations.</li> <li>Transmission spectra for PDLLA fibers, including pre- and post-degradation measurements.</li> </ul>
Data from: Effects of poly(vinyl alcohol) blending with Ag/alginate solutions to form nanocomposite fibers for potential use as antibacterial wound dressings
<p>The first set of data comprise FTIR spectra of Ca-alginate, Ag/Ca-alginate, pure PVA, PVA/Ca-alginate, and PVA/Ag/Ca-alginate fibers. The fibers were obtained by extrusion and gelation of the aqueous solutions with following compositions: for Ag/Ca-alginate fibers - 1.27 ± 0.08 w/v Na-alginate and AgNPs at 2.6 mM, for Ca-alginate fibers - 1.27 ± 0.08 w/v Na-alginate, for PVA fibers - 5.7 % w/v PVA, for PVA/Ca-alginate fibers - 5.7 % w/v PVA and 1.27 ± 0.08 w/v Na-alginate, and for PVA/Ag/Ca-alginate fibers - 5.7 % w/v PVA, 1.27 ± 0.08 w/v Na-alginate and AgNPs at 2.6 mM.</p> <p>The second set of data are UV-Visible absorption spectra of the initial PVA/Ag/Na-alginate colloid solution (5.7 % w/v PVA, 1.27 ± 0.08 w/v Na-alginate, 2.6 mM nominal silver concentration) and resulting fibers produced after gelling of alginate after dissolution in 2.28 % w/v sodium citrate solution.</p> <p>The third set of data are force and stroke values over time measured by using a Universal Testing Machine for Ca-alginate fibers obtained from the 1.27 ± 0.08 % w/v Na-alginate solution and PVA/Ca-alginate fibers, obtained from the solution containing 5.67 % w/v PVA and 1.27 ± 0.08 % w/v Na-alginate at the initial time, and after drying and rehydration for 24 h and 48 h in physiological saline solution. </p>
Quasi-distributed fiber optic monitoring of thermo-hydro behavior of frozen loess for frost heave prediction
<p>We developed a quasi-distributed fiber optic monitoring technology to investigate the thermo-hydro-mechanical (THM) behaviors of frozen loess. A combined method was proposed to measure in-situ ice content, providing critical parameters for understanding THM coupled effects. To characterize the soil freezing-thawing process, we further carried out subsurface automated multiphysics monitoring at a site located on the Loess Plateau, China, during 2020/2021 winter by employing quasi-distributed fiber optic sensing arrays. The inner mechanism of frost heave was revealed via field monitoring data and correlation analysis, which directly promoted the development of a semiempirical frost heave prediction method. For this study area, the proposed method requiring only temperature data as inputs was validated using our field monitoring results.</p> <p>The data presented here are the monitoring data of in-situ temperature, moisture content, and soil displacement. The results of frost heave prediction based on the field monitoring data are shown in the files.</p>
Subsurface Multi-Physical Monitoring of a Reservoir Landslide with the Fiber-Optic Nerve System
<p>All data used in the study to support this research is available on repository via 10.5281/zenodo.6541529</p>
Distributed fiber optics measurements of rock deformation and failure in triaxial tests
<p>We have uploaded two versions of the data. The first version is the raw data from the optical interrogator in the original format. The second version is the processed data. In addition, we have included in each sub-folder a "Readme.txt" file that gives the additional information, requested by the reviewer, on how to process the raw data.</p>
Speckle Images for Single-Pixel Multimode Fiber Spectrometer
<p>** General Information ** </p> <p>- Dataset includes 2500 speckle images of size 256x320 used to calibrate the system</p> <p>- Dataset includes 2500 speckle images of size 256x320 used to test the system</p> <p>- 50 wavelengths between 1549.750 nm and 1550.240 nm are used in the measurements</p> <p>- The separation between the consecutive wavelengths is 10 pm</p> <p><br> ** FOLDER: calibration_data **</p> <p>- This folder consists of the speckle images used to construct the calibration matrix</p> <p>- "calibration_WAVX_SLMY.png" is the speckle image of wavelength X under SLM pattern optimized for wavelength Y</p> <p><br> ** FOLDER: test_data **</p> <p>- This folder consists of the speckle images used to test the system in the reconstruction step</p> <p>- "test_WAVX_SLMY.png" is the speckle image of wavelength X under SLM pattern optimized for wavelength Y</p>
Response of the cerebellar cortex to spot stimulation of the mossy fiber terminals
<p>Response of the cerebellar cortex to spot stimulation of the mossy fiber terminals</p>
Data publication: Simulation of macroscopic boundary value problems using phenomenological material model for steel fiber reinforced high performance concrete (HPC)
<p>This data set contains all necessary inputs for the Simulation of macroscopic boundary value problems using phenomenological material model, including boundary conditions, material parameters and numerical results. The discretization is realized in terms of the finite element method. </p>
SEM of Recycled Carbon Fibers (T700) with pyro-gasification optimized process
Open the record for dataset details and reuse information.
Field investigation of unsaturated seepage process and its influence on soil behavior for land creation in Loess plateau with fiber-optic technology
Open the record for dataset details and reuse information.
Sigle fiber tensile tests on recycled basalt fibers_WP5_T5.4_MOST
Open the record for dataset details and reuse information.
Detailed dataset and code generation for Artificial intelligence-based modelling of compressive strength of slurry infiltrated fiber concrete
Open the record for dataset details and reuse information.
Challenges in submarine fiber-optic earthquake monitoring
<p>This dataset contains three subsets of data from a Distributed Acoustic Sensing (DAS) experiment near Santorini, Greece. The file named microseisms* contains 10 minutes of data during a period of strong microseismic activity. The two files named earthquake* contain the data for two seismic events underneath the Kolumbo volcanic chain. </p>
ScienceDex guides
Understand access before you commit
These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research 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.
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.
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.
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.
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.