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6 results for “instrument identification”

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zenodo40/100

Spectra belonging to XRF instrument report. Identification of ink components through XRF analysis of Azzolino documents.

<p>Accumulated spectra. Details given in supporting information&nbsp;</p> <p><a href="https://journals.plos.org/plosone/article/file?type=supplementary&amp;id=10.1371/journal.pone.0283539.s002">S2 File.&nbsp;</a>XRF instrument report.</p> <p>Identification of ink components through XRF analysis of Azzolino documents.</p> <p><a href="https://doi.org/10.1371/journal.pone.0283539.s002">https://doi.org/10.1371/journal.pone.0283539.s002</a></p> <p>(DOCX)</p> <p>Belonging to&nbsp;publication&nbsp;</p> <p>Lagerqvist Alidoost&nbsp;A, Hacke&nbsp;M, Winther&nbsp;T, Sandstr&ouml;m&nbsp;T (2023)&nbsp;A closer look at the Azzolino collection. PLOS ONE 18(4): e0283539.&nbsp;<a href="https://doi.org/10.1371/journal.pone.0283539">https://doi.org/10.1371/journal.pone.0283539</a></p>

opencc-by-4.0Apr 2023View details →
zenodo40/100

XRF maps and line scans project files belonging to XRF instrument report. Identification of ink components through XRF analysis of Azzolino documents.

<p>RTX Project files. Details given in supporting information&nbsp;</p> <p><a href="https://journals.plos.org/plosone/article/file?type=supplementary&amp;id=10.1371/journal.pone.0283539.s002">S2 File.&nbsp;</a>XRF instrument report.</p> <p>Identification of ink components through XRF analysis of Azzolino documents.</p> <p><a href="https://doi.org/10.1371/journal.pone.0283539.s002">https://doi.org/10.1371/journal.pone.0283539.s002</a></p> <p>(DOCX)</p> <p>Belonging to&nbsp;publication&nbsp;</p> <p>Lagerqvist Alidoost&nbsp;A, Hacke&nbsp;M, Winther&nbsp;T, Sandstr&ouml;m&nbsp;T (2023)&nbsp;A closer look at the Azzolino collection. PLOS ONE 18(4): e0283539.&nbsp;<a href="https://doi.org/10.1371/journal.pone.0283539">https://doi.org/10.1371/journal.pone.0283539</a></p>

opencc-by-4.0Apr 2023View details →
ClinicalTrials.gov36/100

Compuflo Instrument for Thoracic ES Identification

ClinicalTrials.gov study NCT03376256. IPD Sharing: NO. Countries: 1. Publications: 8.

closedIPD-NOFeb 2026View details →
dryad32/100

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>

opencc-zeroJan 2022View details →
ClinicalTrials.gov32/100

StayOK - an Innovative Measuring Instrument for the Early Identification and Treatment of Psychosocial Risks

ClinicalTrials.gov study NCT03213327. IPD Sharing: NO. Countries: 1. Publications: 3.

closedIPD-NOFeb 2026View details →
dryad32/100

Measuring intraoperative surgical instrument use with radio-frequency identification

Open the record for dataset details and reuse information.

publicJan 2022View details →

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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