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3,673 results for “practices”
Figure 4 from: Vohland K, Hoffmann A, Underwood E, Weatherdon L, Bonet F, Häuser C, Wetzel F (2016) 3rd EU BON Stakeholder Roundtable (Granada, Spain): Biodiversity data workflow from data mobilization to practice. Research Ideas and Outcomes 2: e8622. https://doi.org/10.3897/rio.2.e8622
Figure 4 - First day of the Stakeholder Roundtable (credits: Dirk Schmeller).
Figure 3 from: Vohland K, Hoffmann A, Underwood E, Weatherdon L, Bonet F, Häuser C, Wetzel F (2016) 3rd EU BON Stakeholder Roundtable (Granada, Spain): Biodiversity data workflow from data mobilization to practice. Research Ideas and Outcomes 2: e8622. https://doi.org/10.3897/rio.2.e8622
Figure 3 - Thematic pillars of GEO BON (Gary Geller, GEO Secretariat, 2015)
Figure 7 from: Vohland K, Hoffmann A, Underwood E, Weatherdon L, Bonet F, Häuser C, Wetzel F (2016) 3rd EU BON Stakeholder Roundtable (Granada, Spain): Biodiversity data workflow from data mobilization to practice. Research Ideas and Outcomes 2: e8622. https://doi.org/10.3897/rio.2.e8622
Figure 7 - Discussion at the second day of the roundtable (credits: Dirk Schmeller)
Dataset related to study with title "Varieties and Purposes of Selametan as Cultural Practice in Javanese Islamic Community "
<p>This is the dataset contained the publications from Google scholar related to "selametan" </p>
Straightened segmentation in 4D cardiac CT: A practical method for multiparametric characterization of the landing zone for transcatheter pulmonary valve replacement
<p>Supplementary files (8 videos, 2 tables) for ''Straightened segmentation in 4D cardiac CT: A practical method for multiparametric characterization of the landing zone for transcatheter pulmonary valve replacement''</p>
Dataset of the Paper: Practices and Challenges of Using GitHub Copilot: An Empirical Study
<p>This dataset collected from Stack Overflow (SO) and GitHub Discussions was used to conduct an empirical study on the practices and challenges of using GitHub Copilot. A brief description of each document in the dataset is provided below:</p> <p><strong>1. Dataset (SO).xlsx</strong></p> <p>contains the IDs and URLs of the labelled posts which are related to Copilot from Stack Overflow, and the data extracted from these related SO posts.</p> <p><strong>2. Dataset (GitHub).xlsx</strong></p> <p>contains the discussion IDs and discussion URLs in the Copilot category of GitHub Discussions, and the data extracted from all the discussions.</p> <p><strong>3. Extracted Data (SO+GitHub).xlsx</strong></p> <p>contains the final results of data extracted from SO posts and GitHub discussions.</p>
Finding Small Proofs for Description Logic Entailments: Theory and Practice - LPAR20 - Resources
<p><strong>experiments-LPAR-2020 </strong>contains all datasets and scripts used in the experiments described in the paper, and a README file with instructions on how to rerun the experiments.</p>
Assessment of general population knowledge, attitude, and practice on safe unused and expired drugs disposal: a cross-sectional study [questionnaire]
<p>Assessment of general population knowledge, attitude, and practice on safe unused and expired drugs disposal: a cross-sectional study [questionnaire]</p>
Dependency Practices for Vulnerability Mitigation
<p>This is the replication package for our paper on dependency practices for mitigating vulnerabilities.</p> <p>Here is a short description of what is contained in this package:</p> <p><strong>Vul. Extraction</strong></p> <p>The code to extract vulnerability info from the npm advisories in json format.</p> <p><strong>Data</strong></p> <p>The preliminary datasets curated for the project. The raw data can be extracted from libraries.io and the npm advisories on github.com.</p> <p><strong>Model Code</strong></p> <p>The code for feature extraction, feature preprocessing and model training.</p> <p><strong>Visualization Scripts</strong></p> <p>The visualizer.py file includes the visualization scripts used for the paper.</p> <p><strong>Analysis Code</strong></p> <p>The analysis code used for findings of RQ1.</p> <p><strong>Survey Responses</strong></p> <p>The raw anonymized survey responses for RQ3.</p>
Intense cicada – Quesada Gigas – ambience from Catamarca8 in Collecting Sounds. Online Sharing of Field Recordings as Cultural Practice
Intense cicada – Quesada Gigas – ambience from Catamarca8
Katana Practice (free download)
Simple import from Blender. You can check full work here - https://www.artstation.com/artwork/WEGN2 Source: Objaverse 1.0 / Sketchfab
Does Location Influence Coding Practices? A Cross-Regional Study on Stack Overflow Code Quality – Replication Package
<p>Developers routinely integrate Stack Overflow code snippets into their codebases. However, the quality of snippets embedded in users’ answers remain elusive, and existing evaluations of code quality tend to be language or context-specific. Moreover, literature have found that contribution patterns vary depending on geographical locales, creating an unexplained rift between code quality, user location, and latent contextual regional factors. </p> <p>The proposed study evaluates the quality of SQL, JavaScript, Python, Ruby, and Java snippets across reliability, readability, performance, and security dimensions, benchmarking findings across states in the USA and investigating how different diversity indicators correlate against code quality violations. The study culminates in a series of inductive content analyses that qualitatively supplement prior quality dimensions.</p> <p>This replication package is provided for those interested in further examining our research methodology.</p>
Comparative Study of the Link Between the Practice of Gambling and Money and Materialism Among Problem Gamblers and Non-problem Gamblers
ClinicalTrials.gov study NCT02841566. IPD Sharing: Not stated. Countries: 0. Publications: 0.
Healing Minds II: Biofeedback, Breathing Practices, Nutrition and Exercise Counseling in Children and Adolescents With ADHD
ClinicalTrials.gov study NCT07180602. IPD Sharing: NO. Countries: 1. Publications: 0.
Varied Practice on LAPSIM
ClinicalTrials.gov study NCT05731674. IPD Sharing: UNDECIDED. Countries: 1. Publications: 0.
Registry of Patients With a Bioabsorbable Magnesium Stent Implant MAGMARIS in Usual Clinical Practice
ClinicalTrials.gov study NCT03413813. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Pattern of Use and Safety/Effectiveness of Nivolumab in Routine Oncology Practice
ClinicalTrials.gov study NCT02847728. IPD Sharing: Not stated. Countries: 14. Publications: 0.
Observ Prosp Study of Acalabrutinib in CLL Therapy in Real Clinical Practice in Belarus
ClinicalTrials.gov study NCT07288515. IPD Sharing: YES. Countries: 0. Publications: 0.
Remote and Intensive Program for Physical Activity Promotion for People With Type 2 Diabetes (The PRACTICE Trial)
ClinicalTrials.gov study NCT05347862. IPD Sharing: YES. Countries: 1. Publications: 0.
Artificial Intelligence Performance in Colonoscopy in Daily Practice
ClinicalTrials.gov study NCT04837599. IPD Sharing: NO. Countries: 1. Publications: 0.
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.