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5,530 results for “informal”

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zenodo36/100

Extracted Information for the Systematic Review of Survey Scales for Measuring Information Privacy Concerns on Social Network Sites

<p>The data set is part of a systematic literature review of&nbsp;survey scales for measuring information privacy concerns (IPCs) used in research on social network sites (SNSs).</p> <p>The results of this systematic literature review are available in Bartol, J., Vehovar, V., &amp; Petrovčič, A. (2023).&nbsp;Systematic review of survey scales measuring information privacy concerns on social network sites.&nbsp;<em>Telematics and Informatics</em>,&nbsp;102063. https://doi.org/10.1016/j.tele.2023.102063</p> <p>The article also includes a detailed description of the methods used in generating this data set.</p>

opencc-by-nc-4.0May 2022View details →
zenodo36/100

Librarians and information specialists as methodological peer-reviewers: a case-study of the International Journal of Health Governance. Datasets

<p>Objectives of this study were to analyze the impact of including librarians and information specialist as methodological peer-reviewers, because they can enhance methodologies in evidence synthesis. We sought to determine if and how librarians&rsquo; comments differed from subject peer-reviewers&rsquo;; whether there were differences in the implementation of their recommendations; how this impacted editorial decision-making, and the perceived utility of librarian peer review by librarians and authors. &nbsp;We used a mixed method approach, conducting a qualitative analysis of reviewer reports, author replies and editors&rsquo; decisions of submissions to the International Journal of Health Governance. Our content analysis categorized 16 thematic areas so methodological and subject peer-reviewers&rsquo; comments, decisions and rejection rates could be compared. Categories were based on the standard areas covered in peer-review (e.g., title, originality, etc.) as well as additional in-depth categories relating to the methodology (e.g., search strategy, reporting guidelines, etc.). We developed and used criteria to judge reviewers&rsquo; perspectives and code their comments. Methodological peer-reviewers assessed 13 evidence synthesis manuscripts submitted between September 2020 and March 2023. 55 reviewer reports were collected: 25 from methodological peer-reviewers, 30 from subject peer-reviewers.</p>

opencc-by-4.0Oct 2023View details →
zenodo36/100

Species occurrence test set for "Using ChatGPT with Confidence for Biodiversity-Related Information Tasks" (hash://sha256/fd1c8a5304508981a02481a31dc88ad429356a26dff6f89d24fe47fc60a275a4)

Species occurrence test set described in "Using ChatGPT with Confidence for Biodiversity-Related Information Tasks", presented at TDWG 2023 in SYM05

opencc-zeroOct 2023View details →
zenodo36/100

Detailed information for the 2032 Saccharomyces cerevisiae genome assemblies studied

<p>Detailed information for the 2032 Saccharomyces cerevisiae genome assemblies studied</p>

opencc-by-4.0Dec 2021View details →
zenodo36/100

Replication package for: "Information Aggregation Under Ambiguity: Theory and Experimental Evidence"

<p>The package contains the data and code to replicate all figures and tables in Galanis, Ioannou, and Kotronis (forthcoming),&nbsp;"Information Aggregation Under Ambiguity: Theory and Experimental Evidence",&nbsp;Review of Economic Studies.</p>

opencc-by-4.0Sep 2023View details →
zenodo36/100

Rethinking pose estimation in crowds: overcoming the detection information bottleneck and ambiguity

<p>#############</p><p>Rethinking pose estimation in crowds: overcoming the detection information-bottleneck and ambiguity, ICCV 2023</p><p>#############</p><p>&nbsp;</p><p>Authors: Zhou, Mu and Stoffl, Lucas and Mathis, Mackenzie Weygandt and Mathis, Alexander</p><p>Affiliation: EPFL</p><p>Date: October, 2023</p><p>&nbsp;</p><p>Here we provide neural networks weights for the best models in our article "Rethinking pose estimation in crowds: overcoming the detection information-bottleneck and ambiguity", ICCV 2023. Each model has the naming convention "dataset"-"modeltype".pth</p><p>These pth files can be loaded with PyTorch. The code to load and use the models is available at The code to load and use the models is available at:&nbsp;<a href="https://github.com/amathislab/BUCTD">https://github.com/amathislab/BUCTD</a></p><p><strong>Note: The weights for OCHuman</strong>, are called COCO-* as one only trains on COCO. So OCHuman-X := COCO-X</p><p>We also share the predictions from various bottom-up models to reproduce the training stored in *.json format (compressed as zip files). See our repository for more details.</p><p>&nbsp;</p><p>Link to the ICCV article:&nbsp;</p><p><a href="https://openaccess.thecvf.com/content/ICCV2023/papers/Zhou_Rethinking_Pose_Estimation_in_Crowds_Overcoming_the_Detection_Information_Bottleneck_ICCV_2023_paper.pdf">https://openaccess.thecvf.com/content/ICCV2023/papers/Zhou_Rethinking_Pose_Estimation_in_Crowds_Overcoming_the_Detection_Information_Bottleneck_ICCV_2023_paper.pdf</a></p><p>&nbsp;</p><p>The weights and predictions are released with Creative Commons Attribution 4.0 license. The code is released under the Apache 2.0 license, see https://github.com/amathislab/BUCTD&nbsp;</p><p><i>If you find our weights, code or ideas useful, please cite:</i></p><p>&nbsp;</p><p>@InProceedings{Zhou_2023_ICCV,</p><p>&nbsp; &nbsp;author &nbsp; &nbsp;= {Zhou, Mu and Stoffl, Lucas and Mathis, Mackenzie Weygandt and Mathis, Alexander},</p><p>&nbsp; &nbsp;title &nbsp; &nbsp; = {Rethinking Pose Estimation in Crowds: Overcoming the Detection Information Bottleneck and Ambiguity},</p><p>&nbsp; &nbsp;booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)},</p><p>&nbsp; &nbsp;month &nbsp; &nbsp; = {October},</p><p>&nbsp; &nbsp;year &nbsp; &nbsp; &nbsp;= {2023},</p><p>&nbsp; &nbsp;pages &nbsp; &nbsp; = {14689-14699}</p><p>}</p><p>&nbsp;</p>

opencc-by-4.0Sep 2023View details →
zenodo36/100

Mode Conversion Trimming in Asymmetric Directional Couplers Enabled by Silicon Ion Implantation - Supportive Information

<p>An on-chip asymmetric directional coupler (DC) can convert fundamental modes to higher-order modes and is one of the core components of mode-division multiplexing (MDM) technology. In this study, we propose that waveguides of the asymmetric DC can be trimmed by silicon ion implantation to tune the effective refractive index and facilitate mode conversion into higher-order modes. Through this method of tuning, transmission changes of up to 18 dB have been realized with one ion implantation step. In addition, adjusting the position of the ion implantation on the waveguide can provide a further degree of control over the transmission into the resulting mode. The results of this work present a promising new route for the development of high-efficiency, low-loss mode converters for integrated photonic platforms, and aim to facilitate the application of MDM technology in emerging photonic neuromorphic computing.</p>

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

Supplementary Material - Information and Software Technology

<p>Supplementary material - Article title: "Constructing the graphical structure of expert-based Bayesian networks in the context of software engineering: A systematic mapping study" - Information and Software Technology. This material contains the detailed procedure employed in the systematic mapping.</p>

opencc-by-4.0Aug 2024View details →
ClinicalTrials.gov36/100

Enhancing Patient Ability to Understand and Utilize Complex Information Concerning Medication Self-management

ClinicalTrials.gov study NCT02820038. IPD Sharing: YES. Countries: 1. Publications: 1.

controlledIPD-YESFeb 2026View details →
ClinicalTrials.gov36/100

A Personalized Reminder Information and Social Management System

ClinicalTrials.gov study NCT01497613. IPD Sharing: Not stated. Countries: 1. Publications: 6.

restrictedIPD-UNDECIDEDFeb 2026View details →
ClinicalTrials.gov36/100

Promoting Informed Choice for Breast Cancer Screening

ClinicalTrials.gov study NCT05376241. IPD Sharing: YES. Countries: 1. Publications: 4.

controlledIPD-YESFeb 2026View details →
ClinicalTrials.gov36/100

Value of Technology to Transfer Discharge Information

ClinicalTrials.gov study NCT00101868. IPD Sharing: Not stated. Countries: 1. Publications: 54.

restrictedIPD-UNDECIDEDFeb 2026View details →
ClinicalTrials.gov36/100

Genetically Informed Smoking Cessation Trial

ClinicalTrials.gov study NCT02351167. IPD Sharing: NO. Countries: 1. Publications: 1.

closedIPD-NOFeb 2026View details →
ClinicalTrials.gov36/100

Community Interventions in Non-medical Settings to Increase Informed Decision Making for Prostate Cancer Screening

ClinicalTrials.gov study NCT00207636. IPD Sharing: Not stated. Countries: 1. Publications: 1.

restrictedIPD-UNDECIDEDFeb 2026View details →
ClinicalTrials.gov36/100

"Effect of LEGO® Serious Play® Trauma-Informed Care Training on Nursing Students

ClinicalTrials.gov study NCT07304609. IPD Sharing: NO. Countries: 1. Publications: 18.

closedIPD-NOFeb 2026View details →
ClinicalTrials.gov36/100

Mobile App Intervention for Informal Dementia Caregivers

ClinicalTrials.gov study NCT05551533. IPD Sharing: NO. Countries: 1. Publications: 12.

closedIPD-NOFeb 2026View details →
ClinicalTrials.gov36/100

Communicating Health Information and Improving Coordination With Primary Care

ClinicalTrials.gov study NCT03104543. IPD Sharing: YES. Countries: 1. Publications: 2.

controlledIPD-YESFeb 2026View details →
ClinicalTrials.gov36/100

Evaluating Strategies to Present Colon Cancer Screening Information

ClinicalTrials.gov study NCT02485561. IPD Sharing: UNDECIDED. Countries: 1. Publications: 11.

restrictedIPD-UNDECIDEDFeb 2026View details →
ClinicalTrials.gov36/100

Improving Informed Consent for Palliative Chemotherapy

ClinicalTrials.gov study NCT02282722. IPD Sharing: YES. Countries: 1. Publications: 6.

controlledIPD-YESFeb 2026View details →
ClinicalTrials.gov36/100

Open-label Study to Assess Usability of the Medical Information Device #1 (MIND1) System in Adults With Schizophrenia On Oral Aripiprazole

ClinicalTrials.gov study NCT02219009. IPD Sharing: Not stated. Countries: 1. Publications: 1.

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

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Your academic CV and NIH biosketch

Make your CV in your school's format and your NIH biosketch from it, then download both as Word files.