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881 results for “Master”
FIGURES 4A–B in A master in disguise? The rediscovery of Misumena bicolor Simon, 1875 (Araneae: Thomisidae)
FIGURES 4A–B. Images of left male palps in ventral view. A Misumena bicolor from Deggendorf, Germany; B M. vatia from Karlsruhe, Germany.
FIGURES 1 A1–5, B1–5. A1–A5 in A master in disguise? The rediscovery of Misumena bicolor Simon, 1875 (Araneae: Thomisidae)
FIGURES 1 A1–5, B1–5. A1–A5 Misumena bicolor, male from Sardinia; B1–B5 Misumena vatia, male from Germany. A1, B1 Palp, ventral, scale: 0.2 mm; A2, B2: Palp without tibia, lateral, scale: 0.1 mm; A3, B3: RTA lateral, scale: 0.1 mm; A4, B4: Apical tip of RTA, scale: 0.05 mm; A5, B5: Embolus ventral, scale: 0.05 mm.
Barna & Seville real state dataset for PRA1 'Tipología y ciclo de vida de los datos' of UOC's Data Science Master
<p>Dataset containing the results of a web scraping process done in the portal Fotocasa for the cities of Barcelona and Seville (Spain), compiled in october and november 2024. under the framework of the subject "<em>Tipología y ciclo de vida de los datos (M2.851)</em>" of the Data Science Master in Universitat Oberta de Catalunya.</p>
ACB Master's thesis demo video
<p>Video demonstrating the steps of the demo for the Master's thesis titled: "Enabling cross-resource query via indexing datasets and query component matching". Narrated by Alberto Cámara Ballesteros.</p>
dataset Master Thesis Optimising parity game solvers using dynamic SCC maintenance
<p>Complete dataset of my Master Thesis Optimising parity game solvers using dynamic SCC maintenance</p>
Weightlifting during the COVID-19 pandemic—A transnational study regarding motivation, barriers, and coping of master athletes
<p></p><p>Sport has been heavily impacted by the pandemic for over a year with restrictions and closures of facilities. The main aims of this study are to identify motivation and barriers for an international group of Master weightlifters (ages 35 and up) and analyze age and gender differences in pandemic-related changes to physical activities. A sample of 1051 older athletes, 523 women and 528 men, aged from 35 to 88 years, from Australia, Canada, Europe, and the USA provided responses to an online survey conducted in June 2021. A confirmatory factor analysis was performed to examine age, gender, and regional differences about motivation, barriers, and pandemic impact on sport and physical activities. Participants showed enthusiasm for the opportunity to compete despite health challenges with increasing age but faced barriers due to access to training facilities and qualified coaches even before the pandemic. The oldest athletes had the greatest reduction in physical activities during the pandemic. Weightlifters had the opportunity to compete in virtual competitions and 44% would like to see some of these continued in the future, especially women. These findings highlight the benefits of competitive sports and may provide future directions in strength sports for organizations, sports clubs, and coaches.</p><p></p>
Data used for the Master Thesis "Multi Modal Generative Learning utilizing Normalizing Flows"
<p>Dataset needed to reproduce the Master Thesis "Multi Modal Generative Learning utilizing Normalizing Flows".</p> <p>It contains trained models and their evaluation results.</p> <p>For more details see the <a href="https://github.com/Jimmy2027/MMNF_RepSeP">github repository</a>.</p>
Figure Data for the paper "Mastering the Game of Stratego with Model-Free Multiagent Reinforcement Learning"
<p><strong>Data Release for Article: <em>Mastering the Game of Stratego with Model-Free Multiagent Reinforcement Learning</em></strong></p> <p>This package releases a Python notebook reproducing the quantitative<br> figures featured in the research article "Mastering the Game of Stratego with <br> Model-Free Multiagent Reinforcement Learning".</p> <p><strong>Usage</strong></p> <p>The notebook can be uploaded to and executed using the<br> [Colab](https://colab.research.google.com) runtime service. <br> The Python notebook is tested against Python `3.7`.</p> <p><strong>License and disclaimer</strong></p> <p>Copyright 2022 DeepMind Technologies Limited</p> <p>All software is licensed under the Apache License, Version 2.0 (Apache 2.0); you<br> may not use this file except in compliance with the Apache 2.0 license. You may<br> obtain a copy of the Apache 2.0 license at:<br> https://www.apache.org/licenses/LICENSE-2.0</p> <p>All other materials are licensed under the Creative Commons Attribution 4.0<br> International License (CC-BY). You may obtain a copy of the CC-BY license at:<br> https://creativecommons.org/licenses/by/4.0/legalcode</p> <p>Unless required by applicable law or agreed to in writing, all software and<br> materials distributed here under the Apache 2.0 or CC-BY licenses are<br> distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND,<br> either express or implied. See the licenses for the specific language governing<br> permissions and limitations under those licenses.</p> <p>This is not an official Google product.</p>
pywaterinfo dataset for master's dissertation: Updating a conceptual rainfall-runoff model based on radar observation and machine learning
<p>This forcings dataset is the output of the pywaterinfo (https://fluves.github.io/pywaterinfo/) read in of forcing data (rain and potential evapotranspiration).</p> <p>Code related to this dataset can be found here: https://github.com/olivierbonte/master_thesis</p>
OpenEO dataset for master's dissertation: Updating a conceptual rainfall-runoff model based on radar observation and machine learning
<p>This dataset is the output of the <a href="https://openeo.org/">OpenEO</a> processing of satellite data (SAR backscatter and LAI). </p> <p>Code related to this dataset can be found <a href="https://github.com/olivierbonte/master_thesis">here</a></p>
Master chart- Oral Squamous Cell Carcinoma cases
<p>Details of OSCC patients demographic data , clinical and histopathological diagnosis</p>
Master Chartt
<p>Master Chart</p>
Minimal dataset for master's dissertation: Updating a conceptual rainfall-runoff model based on radar observation and machine learning
<p>The minimal dataset needed of data which can not be retrieved from the internet by APIs in the preprocessing. Consists of shape, land use and rivers for the Zwalm catchment. </p> <p>Code related to this dataset can be found here: https://github.com/olivierbonte/master_thesis </p>
Preprocessing output for master's dissertation: Updating a conceptual rainfall-runoff model based on radar observation and machine learning
<p>Outputs of the local preprocessing of the OpenEO data (see <a href="https://doi.org/10.5281/zenodo.7691342">here</a>) and pywaterinfo data (see <a href="https://doi.org/10.5281/zenodo.7689200">here</a>).</p> <p>Code related to this dataset can be found <a href="http://github.com/olivierbonte/master_thesis">here</a></p>
Inverse observation operator parameters/models for master's dissertation: Updating a conceptual rainfall-runoff model based on radar observation and machine learning
<p>Both saved models and results of hyperparameter tuning are given. </p> <p>Code related to this dataset can be found <a href="http://github.com/olivierbonte/master_thesis">here</a></p> <p> </p>
Maria Master's Thesis: SatSkred Greenness
<p>TIF files of RGB-change detection images an shapefiles of zones/detections. </p>
SUMO input route files used for experimental testing in Master's dissertation
<p>SUMO Simulator input route files that were used to generate an edge lane emissions file for each of the two scenarios considered in my Master's dissertation experimental testing.</p>
Master Data for Histopathology
<p>Master data for the article of Comparison between premortem histopathology findings in rats with and without traumatic brain injury: Prospective application in forensic medicine.</p>
Master data of the article "Effect of ethanol extract of nigella sativa L seeds and propofol on BDNF protein level as neuroplasticity and neuroprotection of traumatic brain injury in rats"
<p><strong>Master data of the article "Effect of ethanol extract of nigella sativa L seeds and propofol on BDNF protein level as neuroplasticity and neuroprotection of traumatic brain injury in rats"</strong></p>
Chiral-Induced Spin Selectivity in Photo-Induced Electron Transfer: investigating charge and spin dynamics in a master equation framework. Open data set
<p>Data supporting the original figures 2, 3, 4 and 5 of the related publication.</p>
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.