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44 results for “Declaration”
Supplementary Material: Effectiveness of Performance Visualizations for Declarative Model Transformations
<p>We performed a case study to evaluate whether our performance visualizations developed for the declarative transformation language Henshin are suitable for performing a root cause analysis. Our study consisted of four parts. 1) Participants completed a questionnaire that collected data on their demographics and knowledge of model transformations. 2) The participants watched a video explaining the basics of models, Henshin, and our performance visualizations. 3) The study participants solved four different tasks one after the other. Guided by a questionnaire, they carried out a root cause analysis. 4) Finally, in a short interview session, we asked the participants about their assessment of the comprehensibility and usefulness of the visualizations.</p> <p>In total, 18 participants took part in our study. Our results show that most participants could correctly read and interpret the information provided by the visualizations. The majority of our participants could propose a performance optimization based on the visualizations that optimized the execution of a transformation.</p> <p>This data set contains our study material, which is necessary to repeat the study, our raw and processed data.</p>
Replication of the DECLARE Diabetes Trial in Healthcare Claims
ClinicalTrials.gov study NCT04215523. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Patient Safety in the Operating Room: Helsinki Declaration Implementation in Ukraine
ClinicalTrials.gov study NCT05175976. IPD Sharing: NO. Countries: 1. Publications: 8.
Memantine for Corticosteroid-Induced Mood and Declarative Memory Changes
ClinicalTrials.gov study NCT00280774. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Parameters Declaring PCO Infertile Patients Either Sensitive or Resistant to Different Doses of Clomiphene Citrate.
ClinicalTrials.gov study NCT04887402. IPD Sharing: NO. Countries: 1. Publications: 11.
Data from: Dataset of human medial temporal lobe single neuron activity during declarative memory encoding and recognition
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GENT900000222480 - Recueil des edits, declarations, arrests et reglemens: qui sont propres & particuliers aux provinces du ressort du Parlement de Flandres
<p>Titel: <em>Recueil chronologique de tous les placards, édits, décrets, réglemens, ordonnances, instructions et traités, concernans les titres & marques d'honneur ou de noblesse [...] depuis l'année 1431 jusqu'au mois de mai 1785, recueillis la plupart des editions originales [...] qui se trouvent dans une [...] collection [...] que possède l'imprimeur de ce recueil </em><em>(Volume 2)</em></p> <p>Publisher: Jacq. Fr. Willerval</p> <p>Place: Douay.</p> <p>Year: 1730.</p> <p>Used version: The copy we used for the transcriptions is held at Ghent University.</p> <p>Link digitised version of the book: <a href="https://books.google.nl/books?id=H0FiAAAAcAAJ&dq=Recueil+des+%C3%A9dits,+d%C3%A9clarations,+arrests+et+reglemens+qui+sont+propres+et+particuliers+aux+provinces+du+ressort+du+parlement+de+Flandres&hl=nl&source=gbs_navlinks_s">https://books.google.nl/books?id=H0FiAAAAcAAJ&dq=Recueil+des+%C3%A9dits,+d%C3%A9clarations,+arrests+et+reglemens+qui+sont+propres+et+particuliers+aux+provinces+du+ressort+du+parlement+de+Flandres&hl=nl&source=gbs_navlinks_s</a></p> <p>(Main) Language: French.</p> <p>Province: Flanders.</p> <p>Font: Roman.</p> <p>Model used: French_18thC_Print (public model in Transkribus)</p> <p>Version of Transkribus used: v.1.9.1.</p> <p>Other info: Abbyy FineReader v.11 has been used.</p> <p>Link model: For more information on the HTR-model used, please visit: <a href="https://lab.kb.nl/dataset/entangled-histories-ordinances-low-countries">https://lab.kb.nl/dataset/entangled-histories-ordinances-low-countries</a>.</p> <p>Transcription conventions:</p> <ul> <li> <p>The abbreviations have been written out into full words.</p> </li> <li> <p>The hyphens at the end of a line have been kept (when there).</p> </li> </ul> <p>If you are in need of the original scans of the documents, please contact <a href="mailto:xxxxxx@kb.nl">dataservices@kb.nl</a>.</p> <p>This transcription is part of the dataset created with the ‘Entangled Histories’-project.</p> <p>PI: dr. C.A. Romein;<br> Scientific Programmer: S.F. Veldhoen, MSc;<br> Project Manager: drs. M. de Gruijter.</p> <p> </p>
FIGURES 1, 2. Neobonzia moseri Smiley, 1992 in The genus Coleobonzia declared synonymous with Neobonzia Smiley, 1992 (Bdelloidea: Cunaxidae: Coleoscirinae)
FIGURES 1, 2. Neobonzia moseri Smiley, 1992, dorsal aspect (1) and palp (2) (after Smiley 1992).
Humanized Foxp2 Accelerates Making Transitions From Declarative to Procedural Learning
GEO Series GSE60659. Mus musculus. 4 samples. Type: Expression profiling by high throughput sequencing.
A Deep Dive into Deprecation Declarations in the Rust Package Ecosystem
<p><strong><span>A Deep Dive into Deprecation Declarations in the Rust Package Ecosystem</span></strong></p> <p><span>This Repository contains the data and scripts used in A Deep Dive into Deprecation Declarations in the Rust Package Ecosystem.</span></p> <p><span>DataSet:</span></p> <ul> <li> <p><span>crateio_dumps: It contains data related to Rust packages exported from </span><span><a href="https://crates.io/data-access"><span>crate.io</span></a></span><span>.</span></p> </li> <li> <p><span>advisory-db:</span></p> <ul> <li> <p><span>GAD: GitHub Advisory Database, exported from </span><span><a href="https://github.com/github/advisory-database/tree/mai.n/advisories/github-reviewed"><span>reviewed adviosry-database repository</span></a></span></p> </li> <li> <p><span>RAD: RustSec Advisory Databa, exported from </span><span><a href="%5BAbout%20RustSec%20%E2%80%BA%20RustSec%20Advisory%20Database%5D(https://rustsec.org/)"><span>Rustsec advisories</span></a></span><span>.</span></p> </li> </ul> </li> </ul> <ul> <li> <p><span>OSV: Open Source Vulnerabilities, exported from </span><span><a href="https://osv.dev/list?ecosystem=crates.io"><span>osv.dev</span></a></span><span>.</span></p> </li> </ul> <p><span>Scripts:</span></p> <ul> <li> <p><span><code>0_preprocess.ipynb</code></span><span>: This script handles data preprocessing, including the extraction of dependency relationships between packages and the filtering of libraries for further analysis.</span></p> </li> <li> <p><span><code>1_RQ1.ipynb</code></span><span>: This script documents the process of identifying inactive libraries and calculating their direct downstream packages.</span></p> </li> <li> <p><span><code>2_RQ1.ipynb</code></span><span>: This script records the steps for identifying deprecated libraries from the set of inactive libraries, categorized by types of deprecation declarations.</span></p> </li> <li> <p><span><code>3_RQ2.ipynb</code></span><span>: This script analyzes changes in the number of direct downstream packages after a library is marked as deprecated. It evaluates whether deprecation declarations influence downstream clients to drop or adopt dependencies on the deprecated library.</span></p> </li> <li> <p><span><code>4_RQ3.ipynb</code></span><span>: This script contains the code for extracting defect records related to deprecated libraries from the advisory-db.</span></p> </li> </ul> <p><span>Folders:</span></p> <ul> <li> <p><span><code>./crateio_dumps</code></span><span>: Contains the decompressed tables from the crateio_dumps dataset.</span></p> </li> <li> <p><span><code>./images</code></span><span>: Stores all figures generated by the scripts, intended for use in the paper.</span></p> </li> <li> <p><span><code>./inner_result</code></span><span>: Stores intermediate data generated during processing.</span></p> </li> <li> <p><span><code>./log</code></span><span>: Contains temporary log files generated during script execution.</span></p> </li> <li> <p><span><code>./RQ1</code></span><span>: Stores key result data related to RQ1 generated by </span><span><code>1_RQ1.ipynb</code></span><span> and </span><span><code>2_RQ1.ipynb</code></span><span>. The file </span><span><code>keywords.xlsx</code></span><span> lists the keywords used to filter package README files and descriptions.</span></p> </li> <li> <p><span><code>./RQ2</code></span><span>: Contains important result data related to RQ2 generated by </span><span><code>3_RQ2.ipynb</code></span><span>. The </span><span><code>osv</code></span><span> subfolder stores the extracted OSV dataset records for each vulnerability.</span></p> </li> <li> <p><span><code>./RQ3</code></span><span>: The file </span><span><code>Survey Answer.xlsx</code></span><span> contains responses from 53 participants to the survey. The folder </span><span><code>advisory-db-keyword-filter</code></span><span> stores defect records filtered from GAD and RAD.</span></p> </li> <li> <p><span><code>utils</code></span><span>: </span><span><code>parse_version.py</code></span><span> provides functions for parsing semantic version strings, while </span><span><code>vercmp.py</code></span><span> provides functions for comparing the order of semantic version strings.</span></p> </li> </ul>
One comprehensive clinical neurologic examination is sufficient to declare brain death
<p>Objective: To fill the evidence gap on the value of a single (SBD) or dual brain death (DBD) exam by providing data on irreversibility of brain function, organ donation consent and transplantation </p> <p>Methods: 12-year tertiary hospital and organ procurement organization data on brain death (BD) were combined and outcomes, including consent rate for organ donation and organs recovered and transplanted after SBD and DBD were compared after multiple adjustments for co-variates </p> <p>Results: two-hundred sixty-six patients were declared BD, 122 after SBD and 144 after DBD. Time from event to BD declaration was longer by an average of 20.9 hours after DBD (p=0.003). Seventy-five (73%) families of patients with SBD and 86 (72%) with DBD consented for organ donation (p=0.79). The number of BD exams was not a predictor for consent. No patient regained brain function during the periods following BD. Patients with SBD were more likely to have at least one lung transplanted (p = 0.033). The number of organs transplanted was associated with the number of exams [beta coefficient, (95% CI) -0.5 (-0.97 to -0.02), p=0.044], along with age (for 5 year increase, -0.36 (-0.43 to -0.29), p<0.001) and PaO2 level (for 10 mmHg increase, 0.026 (0.008 to 0.044), p=0.005) and decreased as the elapsed time to BD declaration increased (p=0.019). </p> <p>Conclusions: A single neurologic examination to determine brain death is sufficient in patients with non-anoxic catastrophic brain injuries. A second examination is without additional yield in this group and its delay reduces the number of organs transplanted. </p>
Helsinki Declaration on Patient Safety
ClinicalTrials.gov study NCT01246544. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Targeted Transcranial Magnetic Stimulation to Improve Hippocampal-dependent Declarative Memory Abilities
ClinicalTrials.gov study NCT03574207. IPD Sharing: NO. Countries: 1. Publications: 0.
Dopaminergic Modulation of Declarative Memory
ClinicalTrials.gov study NCT03151460. IPD Sharing: NO. Countries: 1. Publications: 0.
Rapid Declarative Neocortical Declarative Learning in Aging and Memory Diseases (ANéRAVIMM)
ClinicalTrials.gov study NCT04846764. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Training Based On Declarative Memory Cues Improved Gait In Patients With Parkinson's Disease
ClinicalTrials.gov study NCT02600728. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Memantine or Riluzole Prophylaxis for Corticosteroid-induced Mood and Declarative Memory Changes
ClinicalTrials.gov study NCT00283309. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Pupillometric Evaluation in Patients Declared Brain Dead - a Prospective Quality Control Study
ClinicalTrials.gov study NCT06279975. IPD Sharing: NO. Countries: 1. Publications: 0.
One comprehensive clinical neurologic examination is sufficient to declare brain death
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Rome Ambassador Lord Perth and Minister Ciano smile in the Salone della Vittoria at the end of the signing of the Italian-British declaration
<u>Source</u>: Europeana <br><u>4DCity URL</u>: <a href="https://4dcity.org/imgupload/1652096275.4541.jpg">https://4dcity.org/imgupload/1652096275.4541.jpg</a> <br><u>Original Image URL</u>: <a href="https://api.europeana.eu/thumbnail/v2/url.json?uri=http%3A%2F%2Fimage.archivioluce.com%2Ffoto%2Fhigh%2FATTUALITA%2FGP43%2FA00087265.JPG&type=IMAGE">https://api.europeana.eu/thumbnail/v2/url.json?uri=http%3A%2F%2Fimage.archivioluce.com%2Ffoto%2Fhigh%2FATTUALITA%2FGP43%2FA00087265.JPG&type=IMAGE</a> <br><br><u>Image-Metadata:</u><br>Filename: 1652096275.4541.jpg<br>Image Dimensions: 329x576<br>Megapixels: 0.19 MP<br>Filesize: 29.81 KB<br>
ScienceDex guides
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
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DANDI Archive for NWB datasets
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International Brain Laboratory public data
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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.