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464 results for “Style”
1930s style typewriter - w/o branding
Mid-poly typewriter model based on 30s and 40s designs, mostly on Adler Favorit, Remington Portable model 5 and Olympia Simplex - end effect has some strong similiarity to last of them, mostly because of casing. Version withouth branding, includes: .obj .mtl Base color, roughness, metallic, normal (OpenGL) and opacity map Inspired by: everlasting beauty of those pieces :D Source: Objaverse 1.0 / Sketchfab
#6 Penan Handwoven Rattan Basket (Handbag Style)
Handwoven Penan rattan basket purchased from Kampung Batu Bungan Handicraft Market in Mulu, Sarawak, Malaysia. Read in about the history and background of the Sarawak's multicultural population, Kampung Batu Bungan and the Penan people here https://arkitekjfn.blogspot.com/2022/08/history-background-of-most-visited.html Check out our Penan Baskets Collection here (https://skfb.ly/ovw7s) #opensourcesarawak #borneo Source: Objaverse 1.0 / Sketchfab
American Revolutionary Style Field Cannon
Done as part of a College piece. feel free to give feedback in the comments. Source: Objaverse 1.0 / Sketchfab
Naval Cannon - 18th Century English Style
Ships, such as Mary Rose, carried a mixture of cannon of different types and sizes, many designed for land use, and using incompatible ammunition at different ranges and rates of fire. The Mary Rose, like other ships of the time, was built during a period of rapid development of heavy artillery, and her armament was a mix of old designs and innovations. The heavy armament was a mix of older-type wrought iron and cast bronze guns, which differed considerably in size, range and design. Source: Objaverse 1.0 / Sketchfab
Cognitive Styles Measurements
<p>Data sets used for my study (Unkept promises of cognitive styles).</p> <p>You can try to predict CSI scores with personality inventory</p>
Leadership Styles in International Conflict Management. Action by the European Union Against Radicalization, Terrorism and Violent Extremism – Risks and Threats
<p>The article focuses on the antecedents of the emergence and management of international conflicts related to radicalization and terrorism in a European context and the interaction between leader and team. The objective of the desk research is to examine the correlation between the leadership style and the team, the leadership competencies, and to develop strategies for conflict resolution and management. It is achieved by analysing the European approach to the prevention of radicalization, terrorism and violent extremism, and exploring their positive and negative effects on a specific individual or group. The focus is on the role of leadership styles and competences at different hierarchical levels in order to achieve results and find solutions to problems. This paper presents the desk research conducted on countering radicalization and extremism.</p>
Applying Ariadne: Dataset on Learning Styles and Moodle-Based Learning Paths
<h1><em>About this repository</em></h1> <p>This dataset contains information queried from 22 students inside a Moodle based learning management system during the winter term 2023/24 at a German university.</p> <h1><em>Abstract</em></h1> <p>With the use of learning management systems students benefit from being recommended suitable learning elements based on their individual needs. In doing so, recommendation algorithms are applied which first query the student’s learning style. To improve the recommendation of learning elements a continuous analysis of the individual’s learning style is required. A frequent questionnaire assessment would however be too time consuming. Instead, in a prior study an algorithm has been designed to identify changes in learning styles from the student’s selection of learning elements. In this paper, we investigate the functionality of that algorithm by applying it on real student data. In particular, we test if the algorithm correctly indicates changes in learning styles. The utilised data is collected in our learning management system. To be precise, the data is obtained from 22 students enrolled in a software engineering course during the winter term of 2023/24. The data comprises two types of information for each student: 1) learning style collected at the start and end of the term, and 2) the user’s actual selection of learning elements inside the learning management system.<br>The uniqueness of this study lies in the data and the evaluation strategy based on it. Having the learning style at the end of the semester period as ground truth allows us to test if the algorithm operates correctly with actual user data from our learning management system. The results validate the behaviour of our algorithm, yet they strongly suggest the need for an adaptation. Further research is required on how to parameterise the underlying models.</p> <h1><em>Data Explanation</em></h1> <p>This dataset contains </p> <ul> <li>ILS learning styles queried at the start and end of the semester period (winter term 2023/24)</li> <li> sequences of learning elements chosen inside a Moodle based learning management system.</li> </ul> <p>The learning elements are chosen according to the learning element defined by Staufer et al. in "LEARNING ELEMENTS IN ONLINE LEARNING MANAGEMENT SYSTEMS" (doi:<a title="doi" href="https://doi.org/10.21125/iceri.2023.0815">10.21125/iceri.2023.0815</a>)</p> <h1><em>Acknowledgments</em></h1> <p>The present paper is supported by the ‘German Federal Ministry of Education and Research’ (BMBF) through the granting of the funding project HASKI (FKZ: 16DHBKI035)</p> <h1><em>Contact Information</em></h1> <p>If you have any questions feel free to reach out to the owners of this repository by mail: flemming.bugert(a)oth-regensburg.de</p>
Tortured phrases: A dubious writing style emerging in science. Evidence of critical issues affecting established journals.
<p>Supplementary materials to preprint <a href="https://arxiv.org/abs/2107.06751">https://arxiv.org/abs/2107.06751</a>.</p>
Data and R code from: Nature calls: intelligence and natural foraging style predict welfare problems in captive parrots
<p>Around half of all parrots (a highly threatened order) live in captivity. Here, some species thrive. Others, however, breed poorly or display stereotypic behaviours indicating stress. Using data on the prevalence of three types of stereotypic behaviour in pet (50 species; 1,378 individuals) and aviculture hatch rates (115 species; 10,255 breeding pairs), we applied Phylogenetic Comparative Methods (PCMs) to test hypothesised causes of this variation (relating to species' rarity and constraints on natural behaviour). In the first empirical evidence that high intelligence increases vulnerability to poor captive welfare, species with large relative brain sizes were found to be most at risk of oral and whole-body stereotypic behaviour. This suggests that if they are to be kept in private homes, such parrots must be offered substantially more cognitive stimulation. Self-harming behaviours involving feather damage were predicted by naturally relying on food items that require substantial handling, highlighting inadequacies in captive diets (often highly processed); while relatively low hatch rates in aviculture were predicted by small captive population sizes, potentially due to genetic bottlenecks, inbreeding, and/or low availability of compatible mates. These novel findings should help advance captive parrot husbandry, and inspire further research applying PCMs to understand and improve animal welfare.</p>
Reddit Comments Dataset for Text Style Transfer Tasks
<p><strong>Reddit Comments Dataset for Text Style Transfer Tasks</strong></p> <p>A dataset of Reddit comments prepared for Text Style Transfer Tasks.</p> <p>The dataset contains Reddit comments translated into a formal language. For the translation of Reddit comments into a formal language text-davinci-003 was used. To make text-davinci-003 translate the comments into a more formal version, the following prompt was used:<br> "Here is some text: {original_comment} Here is a rewrite of the text, which is more neutral: {"<br> This prompting technique was taken from <a href="https://arxiv.org/abs/2109.03910">A Recipe For Arbitrary Text Style Transfer with Large Language Models</a>.</p> <p>The dataset contains comments from the following Subreddits: antiwork, atheism, Conservative, conspiracy, dankmemes, gaybros, leagueoflegends, lgbt, libertarian, linguistics, MensRights, news, offbeat, PoliticalCompassMemes, politics, teenagers, TrueReddit, TwoXChromosomes, wallstreetbets, worldnews.</p> <p>The quality of formal translations was assessed with BERTScore and chrF++:</p> <ul> <li>BERTScore: F1-Score: 0.89, Precision: 0.90, Recall: 0.88</li> <li>chrF++: 37.16</li> </ul> <p>The average perplexity of the generated formal texts was calculated using GPT-2 and is 123.77</p> <p><br> The dataset consists of 3 components.</p> <p><strong>reddit_commments.csv</strong></p> <p>This file contains a collection of randomly selected comments from 20 Subreddits. For each comment, the following information was collected:<br> - subreddit (name of the subreddit in which the comment was posted)<br> - id (ID of the comment)<br> - submission_id (ID of the submission to which the comment was posted)<br> - body (the comment itself)<br> - created_utc (timestamp in seconds)<br> - parent_id (The ID of the comment or submission to which the comment is a reply)<br> - permalink (The URL to the original comment)-<br> - token_size (How many tokens the comment will be split into by the standard GPT-2 tokenizer)<br> - perplexity (What perplexity does GPT-2 calculate for the comment)</p> <p>The comments were filtered. This file contains only comments that:<br> - have been split by GPT-2 Tokenizer into more than 10 tokens but less than 512 tokens.<br> - are not [removed] or [deleted]<br> - do not contain URLs</p> <p>This file was used as a source for the other two file types.</p> <p><strong>Labeled Files</strong> (training_labeled.csv and eval_labeled.csv)</p> <p>These files contain the formal translations of the Reddit comments.</p> <p>The 150 comments with the highest calculated perplexity of GPT-2 from each Subreddit were translated into a formal version. This filter was used to translate as many comments as possible that have large stylistic salience.</p> <p>They are structured as follows:<br> - Subreddit (name of the subreddit where the comment was posted).<br> - Original Comment<br> - Formal Comment</p> <p><strong>Labeled Files with Style Examples </strong>(training_labeled_with_style_samples.json and eval_labeled_with_style_samples.json)</p> <p>These files contain an original Reddit comment, three sample comments from the same subreddit, and the formal translation of the original Reddit comment.</p> <p>These files can be used to train models to perform style transfers based on given examples.<br> The task is to transform the formal translation of the Reddit comment, using the three given examples, into the style of the examples.</p> <p>An entry in this file is structured as follows:</p> <p>"data":[<br> {<br> "input_sentence":"The original Reddit comment",<br> "style_samples":[<br> "sample1",<br> "sample2",<br> "sample3"<br> ],<br> "results_sentence":"The formal translated input_sentence",<br> "subreddit":"The subreddit from which the comments originated"<br> },<br> "..."<br> ]</p> <p> </p>
Carbonatite metasomatism in subvolcanic settings: implications for magmatic evolution and eruptive style
<p>The supplementary tables S1-S4 which support for the manuscript "Carbonatite metasomatism in subvolcanic settings: implications for magmatic evolution and eruptive style"</p>
"The Forgotten Spear" West African Style Spear
West African Style Spear prop i created for an enviroment i did for this month. Done using Maya and Substance Painter. If you download my props make sure to credited my name in your work of usage. Source: Objaverse 1.0 / Sketchfab
Byzantine style building
Byzantium styled building I created from scratch. Feel free to download! Source: Objaverse 1.0 / Sketchfab
Japanese Style Buildings
This was made for my College FMP but never got round to finishing it. Source: Objaverse 1.0 / Sketchfab
Egyptian Style Treasure Chest [open/close]
An Egyptian style treasure chest containing gold coins with animated opening and closing. Use in PBR or games, can be used in games, architecture or on mobile minus the normal maps. Source: Objaverse 1.0 / Sketchfab
Low Poly, Old-Style Clock Pendulum
A simple, yet stylized free clock pendulum. This model is meant to go with the dynamic version of the wall clock Source: Objaverse 1.0 / Sketchfab
Low Poly, Old-Style Wall Clock
A simple, yet stylized free wall clock. This is a dynamic model, and is meant to have moving hands and a pendulum. These models can be found on my page Source: Objaverse 1.0 / Sketchfab
Modular Walls - Steampunk Style Low Poly FBX
Modular Walls Low Poly fbx bricks, doors, window, wood planks, bend 3x Walls 2x Doors 2x Windows 2x Curved Windows 2x Floors 2x Roofs 2x Pillars Source: Objaverse 1.0 / Sketchfab
Safety and Effectiveness of Style 410 Silicone-Filled Breast Implant Study
ClinicalTrials.gov study NCT00690339. IPD Sharing: Not stated. Countries: 1. Publications: 5.
STYLE -- A Trial of Cell Enriched Adipose For Androgenetic Alopecia
ClinicalTrials.gov study NCT02503852. IPD Sharing: NO. Countries: 1. Publications: 2.
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
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.