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138 results for “Toolbox”
A Toolbox Approach to Obesity Treatment in Primary Care
ClinicalTrials.gov study NCT01922934. IPD Sharing: NO. Countries: 1. Publications: 2.
CamoEvo: an open access toolbox for artificial camouflage evolution experiments
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Data from: How can we tackle interruptions to human-wildlife feeding management? Adding media campaigns to the wildlife manager’s toolbox
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An advancement in developmental and reproductive toxicity (DART) risk assessment: evaluation of a bioactivity and exposure-based NAM toolbox
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soundscape_IR: A source separation toolbox for exploring acoustic diversity in soundscapes
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At-home Jomo Propitiation in Chug valley: Toolbox, transcriber and audio file
<p>This dataset contains the .wav sound files, .trs Transcriber files, .txt Toolbox-compatible Notepad files and .pdf files with the completely transcribed, glossed, parsed and translated examples of the following recordings that belong to the following publication:</p> <p>Bodt, Timotheus Adrianus. 2020. Grammar of Duhumbi. Leiden: Brill. ISBN 978-90-04-40947-7. <a href="https://brill.com/view/title/55767">https://brill.com/view/title/55767</a></p> <p>CHUK221212D2A Bonpo prediction text.</p> <p>The explanation of all the grammatical features that occur in these sound files can be found in the Grammar of Duhumbi.</p> <p>The main Toolbox files can be found in the zip file “Settings”, this includes the IPA keys for Duhumbi, the entire setup of the Toolbox database, and the Duhumbi dictionary and Parsing dictionary.</p> <p>The .wav, .txt and .trs files combined in the same folder will enable to open Toolbox and work with the recordings, e.g. play them sentence for sentence and see the transcriptions and translations.</p> <p>Transcriber version 1.5.1: <a href="http://trans.sourceforge.net/en/presentation.php">http://trans.sourceforge.net/en/presentation.php</a> or <a href="https://osdn.net/projects/sfnet_trans/downloads/transcriber/1.5.1/Transcriber-1.5.1-Windows.exe/">https://osdn.net/projects/sfnet_trans/downloads/transcriber/1.5.1/Transcriber-1.5.1-Windows.exe/</a></p> <p>Toolbox version 1.6.1: <a href="https://software.sil.org/toolbox/download/">https://software.sil.org/toolbox/download/</a></p> <p>For the metadata of the sound files in this data set, I refer to Chapter 13 Texts in the Grammar of Duhumbi. This Chapter has a complete listing of the texts, their topics, the speakers and their background etc.</p> <p>Kesang was one of the last <em>bon-po</em>, practitioners of the traditional religious system in the Chug valley. This religious system has no ‘name’, but comes under what is often called ‘Bon’. The locus of propitiation is on the opposition between the high, in winter snow-clad mountain peaks <em>phu</em> (Tib. phu) that represent purity, cleanliness, goodness and beneficial powers versus the low-lying marshy, swampy areas <em>da</em> (tib. mdaḥ) that represent pollution, disease, evil and malevolent forces. In between these two there is a plethora of other local deities, many of which are local representations of the <em>lha-srin bde-brgyad</em> ‘eight classes of deities and demons’ also found in Tibetan Buddhism, but many of whom also represent deified human beings who have taken on some negative or positive force. It is the role of the <em>bon-po</em> to maintain the balance between the <em>phu</em>, the ‘good’ and the <em>da</em>, the ‘evil’ and hence prevent damage to humans and their livelihoods in the form of diseases, natural disasters, death etc. The <em>phu-da</em> religious system is not limited to the Chug valley, but, in various forms, can also be found among the related Khispi, Sartang and Sherdukpen people, as well as among the Tshangla speakers of West Kameng and eastern Bhutan.</p> <p>The main ritual conducted by the bon-po is called <em>zhiwa</em> (Tib. źi-ba ‘peace’) or <em>jomo soykha</em> (Tib. jo-mo gsol-kha ‘propitiation of the Jomo). It is conducted once before the 20th day of every Tibetan month. Jomo is the main female deity in the area (see also the files concerning the on-site Jomo propitiation). During this ritual, the <em>bon-po</em> first invites the Jomo and all other deities and spirits to attend the offering. He then offers <em>nyingba</em> (Tib. sñiṅ-ba ‘old’), also called <em>lemchang</em>, a mixture of rice, maize, finger millet (traditionally also wheat, barley, broomcorn millet, foxtail millet, buckwheat and amaranth) that has been kept fermenting for a long time. After that, he offers <em>tochang</em>, freshly cooked rice (Tib. lto-chaṅ ‘food-liquor’), and after that <em>darcok</em> (Tib. dar-lcog ‘prayer flags’), small twigs with triangular-shaped flags made of traditional paper. He then conducts a prediction for the coming month, by making three heaps of a mixture of grains, and interprets the way in which these grains pattern. He then sends off the assembled deities.</p> <p><em>Bon-po</em> Kesang died in early 2016. His son Tow Tsering has taken over his role, but does not seem to know the ritual as well as his father. He may well be the last of the <em>bon-po</em> in Chug valley, given that no one has come forward to learn from him.</p> <p>This material is made freely available to everyone for informative or scientific purposes as long as the source (this DOI) / the collectors are properly credited. Please note that use of the material for commercial purposes <strong><em>of any kind</em></strong><em>, which includes conversion into commercial audio-visual media (documentaries etc.), storage and dissemination through sites that require registration & payment for access, or sites that rely on advertisement (including YouTube) </em>is <strong>not</strong> permitted without <strong>specific written consent</strong> from the speakers and their community, obtained through the collectors of the material. By downloading our material, you agree to these restrictions.</p> <p>This data set falls under the Attribution-NonCommercial-ShareAlike (CC BY-NC-SA) license. This license lets you remix, tweak, and build upon this work non-commercially, as long as you credit us and license your new creations under the identical terms. License Deed on <a href="https://creativecommons.org/licenses/by-nc-sa/4.0/">https://creativecommons.org/licenses/by-nc-sa/4.0/</a>. Legal Code on <a href="https://creativecommons.org/licenses/by-nc-sa/4.0/legalcode">https://creativecommons.org/licenses/by-nc-sa/4.0/legalcode</a>.</p> <p>Tim Bodt: monpasang (at) gmail (dot) com</p>
Data for "Microbiome meta-analysis and cross-disease comparison enabled by the SIAMCAT machine learning toolbox"
<p>Data for the SIAMCAT manuscript</p>
Final Toolbox
Source: Objaverse 1.0 / Sketchfab
Connectome-based reservoir computing with the conn2res toolbox
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The Plenoptic 2.0 Toolbox: Benchmarking of Depth Estimation Methods for MLA-Based Focused Plenoptic Cameras
<p>Plenoptic 2.0 Images.<br> The Dataset includes both images acquired with different Raytrix Cameras (R29 and R42) and Synthetic Images. The Synthetic Images are quite basic, while real images contain different backgrounds and different challenges for disparity estimation, view synthesis and compression algorithms.</p>
MRBIGR: a versatile toolbox for genetic causal inference from population-scale multi-omics data
<p>MRBIGR is a multifunctional toolkit for pre-GWAS, GWAS and post-GWAS of both traditional and multi-omics data. MRBIGR provides all the components needed to build a complete GWAS pipeline, and integrates with rich post-GWAS analysis tools such as QTL annotation and haplotype analysis. In particular, Mendelian randomization (MR) analysis, MR-based network construction, module identification and gene ontology analysis are proposed for further genetic regulation studies. Additionally, it also produces rich plots for visualization of the analysis results and other formatted data.</p> <p>This dataset is used to generate images in MRBIGR papers and can also serve as an example to demonstrate how to use MRBIGR.</p>
MMV_Im2Im: An Open Source Microscopy Machine Vision Toolbox for Image-to-Image Transformation
<p>This dataset contains trained deep learning models and sample data for the manuscript "MMV_Im2Im: An Open Source Microscopy Machine Vision Toolbox for Image-to-Image Transformation". Please find the software and more information including tutorials here: https://github.com/MMV-Lab/mmv_im2im.</p><p> </p><p>sample_data.zip includes the following datasets:</p><ul><li>Labelfree prediction of nuclear structure from 2D/3D brighteld images<ul><li>2D<ul><li><a href="https://zenodo.org/record/6139958#.Y78QJKrMLtU">https://zenodo.org/record/6139958#.Y78QJKrMLtU</a></li><li><a href="https://zenodo.org/record/6140064#.Y78YeqrMLtU">https://zenodo.org/record/6140064#.Y78YeqrMLtU</a></li><li>Both repositories have a Creative Commons Attribution 4.0 International License</li></ul></li><li>3D<ul><li><a href="https://open.quiltdata.com/b/allencell/packages/aics/hipsc_single_cell_image_dataset">https://open.quiltdata.com/b/allencell/packages/aics/hipsc_single_cell_image_dataset</a></li><li>Terms of use: <a href="https://www.allencell.org/terms-of-use.html">https://www.allencell.org/terms-of-use.html</a></li><li>"Your use of the Content, including creation of derivative works of the services, data and tools, must be for research or other noncommercial purposes unless it is otherwise set forth in these Terms or agreed to in writing by the Allen Institute."</li></ul></li></ul></li><li>2D semantic segmentation of tissues from H&E images<ul><li><a href="https://www.kaggle.com/datasets/sani84/glasmiccai2015-gland-segmentation">https://www.kaggle.com/datasets/sani84/glasmiccai2015-gland-segmentation</a></li><li>"<strong>The dataset used in this competition is provided for research purposes only. Commercial uses are not allowed.</strong><br>If you intend to publish research work that uses this dataset, you must cite our review paper to be published after the competition"</li></ul></li><li>Instance segmentation<ul><li>2D<ul><li><a href="https://bbbc.broadinstitute.org/BBBC010">https://bbbc.broadinstitute.org/BBBC010</a></li><li>Terms of use: <a href="https://bbbc.broadinstitute.org/">https://bbbc.broadinstitute.org/</a></li><li>"Researchers are encouraged to use these image sets as reference points when developing, testing, and publishing new image analysis algorithms for the life sciences."</li></ul></li><li>3D<ul><li><a href="https://open.quiltdata.com/b/allencell/packages/aics/hipsc_single_cell_image_dataset">https://open.quiltdata.com/b/allencell/packages/aics/hipsc_single_cell_image_dataset</a></li><li>Terms of use: <a href="https://www.allencell.org/terms-of-use.html">https://www.allencell.org/terms-of-use.html</a></li><li>"Your use of the Content, including creation of derivative works of the services, data and tools, must be for research or other noncommercial purposes unless it is otherwise set forth in these Terms or agreed to in writing by the Allen Institute."</li></ul></li></ul></li><li>Compare semantic segmentation and instance segmentation<ul><li><a href="https://open.quiltdata.com/b/allencell/packages/aics/hipsc_single_cell_image_dataset">https://open.quiltdata.com/b/allencell/packages/aics/hipsc_single_cell_image_dataset</a></li><li>Terms of use: <a href="https://www.allencell.org/terms-of-use.html">https://www.allencell.org/terms-of-use.html</a></li><li>"Your use of the Content, including creation of derivative works of the services, data and tools, must be for research or other noncommercial purposes unless it is otherwise set forth in these Terms or agreed to in writing by the Allen Institute."</li></ul></li><li>Unsupervised semantic segmentation<ul><li><a href="https://open.quiltdata.com/b/allencell/packages/aics/hipsc_single_cell_image_dataset">https://open.quiltdata.com/b/allencell/packages/aics/hipsc_single_cell_image_dataset</a></li><li>Terms of use: <a href="https://www.allencell.org/terms-of-use.html">https://www.allencell.org/terms-of-use.html</a></li><li>"Your use of the Content, including creation of derivative works of the services, data and tools, must be for research or other noncommercial purposes unless it is otherwise set forth in these Terms or agreed to in writing by the Allen Institute."</li></ul></li><li>Generating synthetic images<ul><li><a href="https://open.quiltdata.com/b/allencell/packages/aics/hipsc_single_cell_image_dataset">https://open.quiltdata.com/b/allencell/packages/aics/hipsc_single_cell_image_dataset</a></li><li>Terms of use: <a href="https://www.allencell.org/terms-of-use.html">https://www.allencell.org/terms-of-use.html</a></li><li>"Your use of the Content, including creation of derivative works of the services, data and tools, must be for research or other noncommercial purposes unless it is otherwise set forth in these Terms or agreed to in writing by the Allen Institute."</li></ul></li><li>Image denoising<ul><li><a href="https://csbdeep.bioimagecomputing.com/scenarios/">https://csbdeep.bioimagecomputing.com/scenarios/</a></li><li>Two datasets: "Denoising in 3D (Planaria nuclei)" and "Denoising in 3D (Tribolium nuclei)"</li><li>Terms of use: <a href="http://csbdeep.bioimagecomputing.com/">http://csbdeep.bioimagecomputing.com/</a></li><li>"The entire CSBDeep toolbox is fully open source and intended to be used from either Python or <a href="https://fiji.sc">Fiji</a>."</li></ul></li><li>Imaging modality transformation<ul><li><a href="https://zenodo.org/record/4624364#.Y9bWOoHMIqJ">https://zenodo.org/record/4624364#.Y9bWOoHMIqJ</a></li><li>Two datasets: "Confocal_2_STED.zip" (Microtubule and Nuclear_Pore_complex)</li><li>Repository has a Creative Commons Attribution 4.0 International License</li></ul></li><li>Staining transformation:<ul><li><a href="https://zenodo.org/record/4751737#.Y9gbv4HMLVZ">https://zenodo.org/record/4751737#.Y9gbv4HMLVZ</a></li><li>Dataset "BC-DeepLIIF_Training_Set.zip" and "BC-DeepLIIF_Validation_Set.zip"</li><li>Repository has a Creative Commons Attribution 4.0 International License</li></ul></li></ul><p> </p>
BeFit Toolbox Collaboration: Building Empowerment Through Fitness
ClinicalTrials.gov study NCT06293846. IPD Sharing: NO. Countries: 1. Publications: 3.
Evaluation of the Effectiveness of an Audit and Feedback Intervention With Quality Improvement Toolbox in Intensive Care
ClinicalTrials.gov study NCT02922101. IPD Sharing: YES. Countries: 1. Publications: 4.
Stress Toolbox for Healthcare Providers in Mexico
ClinicalTrials.gov study NCT05767970. IPD Sharing: YES. Countries: 1. Publications: 6.
STOP? II: Testing of a Toolbox for Structured Communication in the Operating Room
ClinicalTrials.gov study NCT05356962. IPD Sharing: YES. Countries: 2. Publications: 1.
Data from: Expanding the toolbox of nutrient limitation studies: novel method of soil microbial in-growth bags to evaluate nutrient demands in tropical forests
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Are non-animal systemic safety assessments protective? A toolbox and workflow
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Toolbox for: Teaching lab for large cohorts of undergraduates: private and social information in fish
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Advancing systemic toxicity risk assessment: Evaluation of a NAM-based toolbox approach
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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.