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25 results for “Training resources”
TIME4CS WP4 Mapping of citizen science training resources
<p>This dataset was compiled as part of the TIME4CS project, WP4, and lists identified citizen science training resources, as of July 2022.</p> <p>The <a href="https://eu-citizen.science/">EU-citizen.science</a> platform provided the basis for mapping CS training in Europe, as the team behind the platform has put considerable effort into compiling, and encouraging the CS community to contribute, CS training resources. Additionally, training courses were identified based on the case studies in WP1, as most universities do not list their courses on the EU-citizen.science platform.</p>
Big Data to Knowledge (BD2K) Training Coordinating Center (TCC) Educational Resource Discovery Index (ERuDIte) as Linked Data
<p>This is a release of the Big Data to Knowledge (BD2K) Training Coordinating Center (TCC) Educational Resource Discovery Index (ERuDIte) as Linked Data.<br> <br> ERuDIte contains over 11,000 training resources on data science including courses (MOOCs), video tutorials, conference talks, and other materials. The metadata of these resources is described uniformly using schema.org. In addition, we use machine learning techniques to tag each resource with concepts from the Data Science Education Ontology (DSEO), which we developed to further describe the contents of the training resources. Resource relevance and tags are curated by experts to ensure high quality. Finally, we map the references to people and organizations in the learning resource metadata to entities in DBpedia, DBLP, and ORCID, thus embedding our collection in the web of linked data. Our collection is continually growing. We hope that ERuDIte will provide a framework to foster open linked educational resources on the web.<br> <br> Distributed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License (https://creativecommons.org/licenses/by-nc-sa/4.0/)</p>
Biodata Resource Inventory Training Stats ( prelim)
<p>Each file contains training statistics on the training and validation sets. These are preliminary results. They are being uploaded to perform proof of concept of using Binder to allow the R Markdown notebooks to be run in the browser.</p>
A Galaxy-based training resource for single-cell RNA-seq quality control and analyses
<p>This is the tutorial data for the 'Single-cell quality control with scater' tutorial on the Galaxy Training Network. The data is the same dataset that is used as the inbuilt example dataset within scater, but has been implemented as individual files.</p>
Griots Interviews, Bambara Language WAV, 30 hours, Recorded 2022, Cultural and ASR Training Resource
<p><strong>Source material to this project:</strong></p> <ul> <li> <p>Addition to 200,000 lines Bambara-French clean synchronized corpus</p> </li> <li> <p>Co-project with Google, recorded 30 hours video interviews with Griots</p> </li> <li> <p>30 hours manually transcribed and translated to French</p> </li> <li> <p>10 hours used in training ASR system and MT transformer</p> </li> <li> <p>100% Open Sourced</p> </li> <li> <p>Cultural/Technical Exhibition to be hosted online and in the National Museum of Mali</p> </li> <li> <p>Record, preserve, and share Malian culture with the world</p> </li> <li> <p>Contribute to the science of low-resource language NLP</p> </li> <li> <p>Reinforce the development of written Bambara</p> </li> <li> <p>Enable Bambara to reach status as a “first-class internet language”</p> </li> </ul> <p>Corresponding transcribed data can be found at the following <a href="https://github.com/robotsmali-ai/jeli-asr">Github repository</a></p>
Human review for post-training improvement of low-resource language performance in large language models
<p>Large language models (LLMs) have significantly improved natural language processing, holding the potential to support health workers and their clients directly. Unfortunately, there is a substantial and variable drop in performance for low-resource languages. Here we present results from an exploratory case study in Malawi, aiming to enhance the performance of LLMs in Chichewa through innovative prompt engineering techniques. By focusing on practical evaluations over traditional metrics, we assess the subjective utility of LLM outputs, prioritizing end-user satisfaction. Our findings suggest that tailored prompt engineering may improve LLM utility in underserved linguistic contexts, offering a promising avenue to bridge the language inclusivity gap in digital health interventions.</p>
Constructing visualization tools and training resources to assess climate impacts on the channel islands national marine sanctuary NetCDF files
<p>The Channel Islands Marine Sanctuary (CINMS) comprises 1,470 square miles surrounding the Northern Channel Islands: Anacapa, Santa Cruz, Santa Rosa, San Miguel, and Santa Barbara, protecting various species and habitats. However, these sensitive habitats are highly susceptible to climate-driven 'shock' events which are associated with extreme values of temperature, pH, or ocean nutrient levels. A particularly devastating example was seen in 2014-16, when extreme temperatures and changes in nutrient conditions off the California coast led to large-scale die-offs of marine organisms. Global climate models are the best tool available to predict how these shocks may respond to climate change. To better understand the drivers and statistics of climate-driven ecosystem shocks, a 'large ensemble' of simulations run with multiple climate models will be used. The objective of this project is to develop a Python-based web application to visualize ecologically significant climate variables near the CINMS. The web application will be used by researchers from the University of California, Santa Barbara (UCSB) to analyze climate model output, and by CINMS staff to develop new indicators of shocks to marine ecosystems.</p>
Learning Crisis Resource Management: Practicing Versus Observational Role in Simulation Training
ClinicalTrials.gov study NCT01653704. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Human review for post-training improvement of low-resource language performance in large language models
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Constructing visualization tools and training resources to assess climate impacts on the channel islands national marine sanctuary NetCDF files
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Pre-trained models for Vietnamese Natural Resources and Environment Domain
<p>Two Pre-trained models for Vietnamese Natural Resources and Environment Domain:</p> <p>- fastText</p> <p>- Word2vec</p>
Resources for the paper "Teaching a Multilingual Large Language Model to Understand Multilingual Speech via Multi-Instructional Training"
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Impact of Crew Resource Management Training to Improve the Effectiveness of Surgical Safety Checklist (IDILIC)
ClinicalTrials.gov study NCT01384474. IPD Sharing: Not stated. Countries: 1. Publications: 2.
Resourcefulness Training and Decentering on Self-Management in Caregivers of Technology Dependent Children
ClinicalTrials.gov study NCT02993887. IPD Sharing: UNDECIDED. Countries: 1. Publications: 1.
Insulin Start Therapy Application With Resources and Training
ClinicalTrials.gov study NCT03999268. IPD Sharing: YES. Countries: 1. Publications: 1.
A Training Program for Developing Social- and Personal Resources
ClinicalTrials.gov study NCT04165473. IPD Sharing: NO. Countries: 1. Publications: 85.
Video Tutorial Resources to Support Student Training in Tidal Data Digitization
<p>These videos serve as supplementary resources to assist students in digitizing high and low tidal points for two specific phases: Phase 1 (2023-2024), focusing on Dublin Port with selected years from the 1970s, and Phase 2 (2024-2025), centred on Kilrush (Training Dataset). These resources complement the paper titled "<em>Evaluating Student Involvement in Ocean Data Digitization Efforts"</em>, providing essential training aimed at improving accuracy and engagement in student-led tidal data digitization projects."</p>
Online vs. In-Person Suturing Training: A Non-Inferiority Randomized Controlled Trial in a Low-Resource Setting
ClinicalTrials.gov study NCT07038525. IPD Sharing: YES. Countries: 1. Publications: 0.
Educational Resources from UC Berkeley RDM Librarian Training Program
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Training Data - Effects of seasonality and classifier on the accuracy of grazing resource and land degradation maps in a savanna ecosystem
<p>This csv file contains training data (class and coordinates (latitude and longitude)) used in the classification models presented in the paper - Effects of seasonality and classifier on the accuracy of grazing resource and land degradation maps in a savanna ecosystem</p>
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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.
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.