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.
1,211
datasets available to search
ShareScore release 0.9.0
Dataset results
1,211 results for “instrument”
Modulation of a protein-folding landscape revealed by AFM-based force spectroscopy notwithstanding instrumental limitations
Open the record for dataset details and reuse information.
The infrared instrument for sea surface temperature (iriss): An innovative and simplified design for measuring ocean surface skin temperature
Open the record for dataset details and reuse information.
Qualitative survey instruments for a study on equity from a large-scale private-sector healthcare intervention in Ghana and Kenya: the African Health Markets for Equity (AHME) study
Open the record for dataset details and reuse information.
Dataset for Surface Enhanced Raman Spectroscopy for quantitative analysis: results of a large-scale European multi-instrument interlaboratory study
<p>This dataset contains all the spectra used in "Surface Enhanced Raman Spectroscopy for quantitative analysis: results of a large-scale European multi-instrument interlaboratory study". Data are available in 2 different formats:</p> <p>- a compressed archive with 1 folder ("Dataset”) cointaining all the 3516 TXT files (1 file = 1 spectrum) uploaded by all participants (all spectra of the Interlaboratory study);</p> <p>- 1 single CSV file (“ILSspectra.csv”) with all the 3516 spectra uploaded by all participants in the form of a table. The data are structured as follow, with each row being 1 spectrum, preceded by metadata: "labcode", "substrate", "laser", "method", "sample", "type", "conc", "batch", "replica". Note that for those spectra starting after 400 cm-1 and/or ending before 2000 cm-1 missing values were expressed as NAs.</p>
Data and figures of JGR planet paper entitled "Pressure effects on the SEIS-InSight instrument, improvement of seismic records and characterization of long period atmospheric waves from ground displacements" by Raphael F. Garcia and co-authors
<p>Data and figures of the JGR Planet paper entitled "Pressure effects on the SEIS-<br> InSight instrument, improvement of seismic records and characterization of long<br> period atmospheric waves from ground displacements"<br> by<br> Raphael F. Garcia1, Balthasar Kenda2 , Taichi Kawamura2 , A. Spiga3,4, N.<br> Murdoch1 , P. Lognonné2, R. Widmer-Schnidrig5, N. Compaire1 , G.<br> Orhand-Mainsant1 , D. Banfield6, W. B. Banerdt7</p> <p>List of files and directories</p> <p>*extractAllDataFromFig.m : matlab code to extract the data in txt file from the<br> matlab figures listed in the following directories<br> Figure1<br> Figure10<br> Figure11<br> Figure2<br> Figure3<br> Figure4<br> Figure5<br> Figure6<br> Figure7<br> Figure8<br> Figure9</p> <p>*figures_combined : combined figures for JGR paper</p> <p>*INSIGHT_Data : data in miniseed format used in the paper<br> -- Deglitch_data : data after removing glitchs used in the paper<br> -- Data_figure11 : data used for the plots in figure 11 (plots done easily with<br> SeisGram software)</p> <p>*PREPRINT : preprint of the paper</p> <p> </p>
ds-uct-003: Endodontic Instruments: X-Ray micro-CT of five endodontic files.
<p><strong>Summary</strong>:<br> .X-Ray micro-computed tomography (micro-CT) of five endodontic files used for the primary shaping of root canals, endodontic reintervention and supplementary cleaning methods.<br> .The 3D image was generated with an X-Ray micro-CT Scanner version Xradia Versa 510 from Zeiss performed by A Pereira at the UFF micro-CT Facility.<br> .For use of these data, please remember to cite the DOI of the Zenodo repository and relevant papers.</p> <p><strong>Details</strong>:<br> .flat-us (1024) - Voxel size: 10.0 μm; Sample-source: 30 mm; Sample-detector: 176 mm; Optical magnification: 0.4X; Filter: LE#1; Beam energy: 80 kV; Power: 7 W; Exposure time: 1.0 sec; Projections: 1600.<br> .xp-finish (1024) - Voxel size: 15.2 μm; Sample-source: 31 mm; Sample-detector: 110 mm; Optical magnification: 0.4X; Filter: LE#1; Beam energy: 80 kV; Power: 7 W; Exposure time: 0.4 sec; Projections: 1600.<br> .m2-30 (1024) - Voxel size: 18.2 μm; Sample-source: 39.5 mm; Sample-detector: 110 mm; Optical magnification: 0.4X; Filter: LE#1; Beam energy: 80 kV; Power: 7 W; Exposure time: 1.0 sec; Projections: 1600.<br> .m2r-25 (1024) - Voxel size: 18.2 μm; Sample-source: 39.5 mm; Sample-detector: 110 mm; Optical magnification: 0.4X; Filter: LE#1; Beam energy: 80 kV; Power: 7 W; Exposure time: 1.0 sec; Projections: 1600.<br> .reciproc-r25 (1024) - Voxel size: 18.2 μm; Sample-source: 39.5 mm; Sample-detector: 110 mm; Optical magnification: 0.4X; Filter: LE#1; Beam energy: 80 kV; Power: 7 W; Exposure time: 0.8 sec; Projections: 1600.</p> <p><strong>Contents</strong>:<br> ._info_ds-uct-003.txt<br> .ds-uct-003_endodontic_instruments_10um_8bits_flat-us.zip<br> .ds-uct-003_endodontic_instruments_15um_8bits_xp-finish.zip<br> .ds-uct-003_endodontic_instruments_18um_8bits_m2-30.zip<br> .ds-uct-003_endodontic_instruments_18um_8bits_m2r-25.zip<br> .ds-uct-003_endodontic_instruments_18um_8bits_reciproc-r25.zip</p>
Wooden Instrument
Wooden Intrument(don't know the name if anyone happens to know please leave a comment!) Discord -RaHpoK#4814 Email - rodrigomgdealmeida@gmail.com Realizasom.com Source: Objaverse 1.0 / Sketchfab
Voices, instruments and somewhere in between: using musical medium to cross the knowledge organization/music boundary
<p>This paper considers the boundary between the library and information science (LIS) specialist and the music specialist's approach to music classification, and shows how crossing this boundary enhances knowledge on both sides. Musical medium – in other words, the forces needed to rehearse or perform a musical work – is at the heart of music classification. Therefore, three examples of music medium phenomena will be considered from a combined LIS/music perspective. </p><p>First, the "great" vocal/instrumental divide will be considered. The paper will explore how this fundamental musicological categorization is reflected in LIS classification schemes, and what happens when the categorization of a vocal/instrumental hybrid such as the choral symphony is attempted. The paper then considers the classification of musical instruments, comparing taxonomies within organology – the study of musical instruments – to LIS classification schemes for music. Part of this analysis will consider the categorization of instruments into "families", and how this differs between the music and LIS disciplines. This will be followed by an examination of the cross-fertilization between organology classification schemes and their bibliographic cousins, including an account of how the major organological taxonomy "Hornbostel and Sachs" crossed through the music boundary and into LIS territory. </p><p>Through exploring these three specific examples of issues in classifying music medium, the general relationship between the LIS and music disciplines can be examined. The paper will reveal that this relationship takes on many different guises, and that crossing the LIS/music boundary – in both directions – is critical to understanding the fundamental elements of music classification.</p>
African Instruments
The Behring Museum in Blackhawk California has a large collection of Arican Art. This is the display of musical instruments. Created in RealityCapture by Capturing Reality from 465 images Source: Objaverse 1.0 / Sketchfab
Differentially regulated genes in the heart of benzene exposed TAC-instrumented mice
<p><span>Benzene is a ubiquitous environmental pollutant abundant in household products, petrochemicals, and cigarette smoke. Benzene is a well-known carcinogen in humans and experimental animals; however, little is known about the cardiovascular toxicity of benzene. Recent population-based studies indicate that benzene exposure is associated with an increased risk for heart failure. Nonetheless, it is unclear whether benzene exposure is sufficient to induce and/or exacerbate heart failure. We examined the effects of benzene (50 ppm, 6 h/day, 5 days/week, 6 weeks) or HEPA-filtered air exposure on transverse aortic constriction (TAC)-induced pressure overload in male C57BL/6J mice. Our data show that benzene exposure had no effect on cardiac function in the Sham group; however, it significantly compromised cardiac function as depicted by a significant decrease in fractional shortening and ejection fraction, as compared with TAC/Air-exposed mice. RNA-seq analysis of the cardiac tissue from the TAC/benzene-exposed mice showed a significant increase in several genes associated with adhesion molecules, cell-cell adhesion, inflammation, and stress response. In particular, neutrophils were implicated in our unbiased analyses. Indeed, immunofluorescence studies showed that TAC/benzene exposure promotes infiltration of CD11b<sup>+</sup>/S100A8<sup>+</sup>/myeloperoxidase<sup>+</sup>-positive neutrophils in the hearts by 3-fold. <i>In vitro</i>, the benzene metabolites, hydroquinone, and catechol, induced the expression of P-selectin in cardiac microvascular endothelial cells by 5-fold and increased the adhesion of neutrophils to these endothelial cells by 1.5-2.0-fold. Benzene metabolite-induced adhesion of neutrophils to the endothelial cells was attenuated by anti-P-selectin antibody. Together, these data suggest that benzene exacerbates heart failure by promoting endothelial activation and neutrophil recruitment. </span></p>
Supplementary material 2 from: Tomaskinova J, Geneletti D, Dicks LV, Grace M, Collier M, Longato D, Stoev P, Sapundzhieva A, Balzan MV (2021) Capacity-building as an instrument to foster the implementation of nature-based solutions. Research Ideas and Outcomes 7: e77666. https://doi.org/10.3897/rio.7.e77666
Assessing the effectiveness of urban ecosystems to prioritise nature-based interventions in a high-density urban area
Measuring intraoperative surgical instrument use with radio-frequency identification
<p><strong>Objective:</strong> Surgical instrument oversupply drives cost, confusion, and workload in the operating room (OR). With an estimated 78-87% of instruments being unused, many health systems have recognized the need for supply refinement. By manually recording instrument use and tasking surgeons to review instrument trays, previous quality improvement initiatives have achieved an average 52% reduction in supply. While demonstrating the degree of instrument oversupply, previous methods for identifying required instruments are qualitative, expensive, lack scalability and sustainability, and are prone to human error. In this work, we aim to develop and evaluate an automated system for measuring surgical instrument use.</p> <p><strong>Materials and Methods:</strong> We present the first system to our knowledge that automates the collection of real-time instrument use data with radio-frequency identification (RFID). Over 15 breast surgeries, ten carpometacarpal (CMC) arthroplasties, and four craniotomies, instrument use was tracked by both a trained observer manually recording instrument use and the RFID system.</p> <p><strong>Results:</strong> The average Cohen's Kappa agreement between the system and the observer was 0.81 (near perfect agreement), and the system enabled a supply reduction of 50.8% in breast and orthopedic surgery. Over 10 monitored breast surgeries and one CMC arthroplasty with reduced trays, no eliminated instruments were requested, and both trays continue to be used as the supplied standard. Setup time in breast surgery decreased from 23 minutes to 17 minutes with the reduced supply.</p> <p><strong>Conclusion:</strong> The RFID system presented herein achieves a novel data stream that enables accurate instrument supply optimization.</p>
Bayesian evidence-driven diagnosis of instrumental systematics for sky-averaged 21-cm cosmology experiments data
<p>Nested sampling posterior samples when a systematic structure is present inside the data.</p> <p>The data is organised in the following way:</p> <p>Folder structure: [likelihood used]/[systematic amplitude]/[type of systematic]/</p> <p>Result structure: [Noise Model used]_[likelihood used]_sys_[systematic amplitude]_[systematic period]_[systematic phase]_[G21 signal strength]</p> <p>If damped systematic, add _damp at result string.</p> <p>Within the results folder, the "enhance" folder contains the more accurate posterior samples of the enhanced PolyChord run.</p> <p>The third folder [systematicModelled] contains the results when the systematic structure is modelled with the same results string as above.</p> <p> </p>
Supplementary material 1 from: Wejnerowski Ł, Aykut TO, Pełechata A, Rybak M, Dulić T, Meriluoto J, Dziuba MK (2022) Plankton hitch-hikers on naturalists' instruments as silent intruders of aquatic ecosystems: current risks and possible prevention. NeoBiota 73: 193-212. https://doi.org/10.3897/neobiota.73.82636
Detailed methodology of toxicological analyses performed for the purpose of this study and the results in the graphical form
Supplementary material 7 from: Wejnerowski Ł, Aykut TO, Pełechata A, Rybak M, Dulić T, Meriluoto J, Dziuba MK (2022) Plankton hitch-hikers on naturalists' instruments as silent intruders of aquatic ecosystems: current risks and possible prevention. NeoBiota 73: 193-212. https://doi.org/10.3897/neobiota.73.82636
Concentration of ammonium, nitrate, orthophosphates in the Kierskie Lake filtrates (Resident(-), Resident(+)) at endpoint of the second experiment
Supplementary material 5 from: Wejnerowski Ł, Aykut TO, Pełechata A, Rybak M, Dulić T, Meriluoto J, Dziuba MK (2022) Plankton hitch-hikers on naturalists' instruments as silent intruders of aquatic ecosystems: current risks and possible prevention. NeoBiota 73: 193-212. https://doi.org/10.3897/neobiota.73.82636
Top view of the content of two randomly selected beakers of Biosecurity(–) treatment after seven days of incubation in a phytotron
Supplementary material 3 from: Wejnerowski Ł, Aykut TO, Pełechata A, Rybak M, Dulić T, Meriluoto J, Dziuba MK (2022) Plankton hitch-hikers on naturalists' instruments as silent intruders of aquatic ecosystems: current risks and possible prevention. NeoBiota 73: 193-212. https://doi.org/10.3897/neobiota.73.82636
Basic information about the Gopło Lake and some characteristics of the surface water measured during field campaigns
IDSL.UFA comparison for Orbitrap and QTOF instruments
<p>Molecular formula annotation results were compared for LC-HRMS data from orbitrap and qtof instruments for a biorec plasma sample. </p>
Characterizing quantum instruments: from non-demolition measurements to quantum error correction
<p>Source data underlying the graphical representations used in the figures.</p>
Pipaset preview: A multimodal dataset for AMT and EA tasks dedicated to Chinese music instrument Pipa
<p>Yuancheng Wang, Yuyang Jing , Wei Wei, Dorian Cazau, Olivier Adam, Qiao Wang</p> <p>Accompanying <a href="http://github.com/yuanchengwang/TEAS">Website</a> here.</p> <p>If you make use of PipaSet for academic purposes, please cite the following publication:</p> <blockquote> <p>PipaSet and TEAS: A Multimodal Dataset and Annotation Platform for Automatic Music Transcription and Expressive Analysis dedicated to Chinese Traditional Plucked String Instrument Pipa. IEEE ACCESS 2022.</p> </blockquote> <p>This project was led by Yuancheng Wang at Information School of Information Science and Engineering, Southeast University, China, along with my supervisor Prof. Qiao Wang from same school and Dr. Yuyang Jing from Nanjing University of the Arts, Wei Wei form Xiaozhuang University, Dr. Dorian Cazau from Institute of Mines-Télécom Atlantique in Brest France, Prof. Olivier Adam from Sorbonne University.</p> <p>We present PipaSet, a dataset that provides multimodal pipa recordings alongside a high diversity of annotations for Automatic Music Transcription and Expressive Analysis tasks, including note, pitch contours, string and fret positions, and playing techniques. </p> <p>More information will be coming soon to cover more pieces of music played by pipa. </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.