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3,121 results for “Resources”
Support data for article "The concept of network resource control of a 5G cluster focused on the smart city's critical infrastructure needs"
<p>Support data for article:</p> <div>V. Kovtun, K. Grochla, and K. Połys, “The concept of network resource control of a 5G cluster focused on the smart city’s critical infrastructure needs,” Alexandria Engineering Journal, vol. 94. Elsevier BV, pp. 248–256, May 2024. doi: 10.1016/j.aej.2024.03.038.</div> <p>This research is part of the project No. 2022/45/P/ST7/03450 co-funded by the National Science Centre and the European Union Framework Programme for Research and Innovation Horizon 2020 under the Marie Skłodowska-Curie grant agreement No. 945339.</p>
Support data for conference paper "The Concept of Efficient Utilization of the Uplink Frequency Resource of a Smart Factory 5G Cluster by IIoT Devices"
<p>upport data for conference paper<br>Kovtun, and O. Kovtun, “The Concept of Efficient Utilization of the Uplink Frequency Resource of a Smart Factory 5G Cluster by IIoT Devices.” In Proc. 8th International Conference on Computational Linguistics and Intelligent Systems. Volume I: Machine Learning Workshop, CEUR-WS, vol. 3664, 2024; pp. 273-283.<br>This research is part of the project No. 2022/45/P/ST7/03450 co-funded by the National Science Centre and the European Union Framework Programme for Research and Innovation Horizon 2020 under the Marie Skłodowska-Curie grant agreement No. 945339.</p>
Support data for conference paper "Assessment of Communication Resource Allocation by the Transmission Control Protocol for the Target Virtual Connection under Competitive Conditions"
<p>Support data for article</p> <p>V. Kovtun, O. Kovtun, K. Grochla, and K. Połys, “Assessment of Communication Resource Allocation by the Transmission Control Protocol for the Target Virtual Connection under Competitive Conditions,” Electronics, vol. 13, no. 7. MDPI AG, p. 1180, Mar. 22, 2024. doi: 10.3390/electronics13071180.</p> <div> <p>This research is part of the project No. 2022/45/P/ST7/03450 co-funded by the National Science Centre and the European Union Framework Programme for Research and Innovation Horizon 2020 under the Marie Skłodowska-Curie grant agreement No. 945339.</p> </div>
The Effects of Computational Resources on Flaky Tests (Artifact)
<p>This artifact contains resources for reproducing and extending the work "The Effects of Computational Resources on Flaky Tests"</p><p>Contents:</p><ul><li> Analysis and Processed Test Results.tgz: An archive that contains information about the projects analyzed, summarized test results per-throttling configuration per-run, and a Jupyter notebook that detects RAFT (generating all tables and figures in the article). A README in this archive provides further guidance on its contents</li><li>js-results.tar, java-results.tar, python-results.tar: The raw results produced by the test runner when executing each JavaScript, Java and Python project 300 times in each of the throttling configurations.</li></ul><p>See also:</p><p>We have published docker containers that include each project that we studied, along with all of the dependenices for running the tests. These containers can be used to reproduce our results, or to extend our work by running additional tests. The containers are available at <a href="https://hub.docker.com/r/jonbell/raft/tags">https://hub.docker.com/r/jonbell/raft/tags</a></p>
Dataset Bibliometric - Resources Based View (RBV)
<p>The dataset contains a collection of articles related to resources based view (RBV) in the Scopus database from 1997-2024.</p>
PHENOLOGICAL INDICATORS OF RESOURCES OFFERED TO LEAF HERBIVORES IN RESTINGA COMMUNITIES
<p>Dataset from the second chapter of the doctoral thesis entitled “HERBIVORY PATTERNS, ANTI-HERBIVORY DEFENSES AND INSECT GUILD OCCURRENCE IN ATLANTIC FOREST COMMUNITIES.” </p>
Resources for BMF CP 83: Information seeking, recommendation mechanism, and space tourism intention
<p><span>The current study is conducted to examine the following research questions:</span></p> <ul> <li><span>What information sources on social media are associated with the general intention to try space tourism?</span></li> <li><span>Does the automatically recommended information moderate the associations between multiple sources of information and the intention to try space tourism?</span></li> </ul>
Resources for BMF CP 84: Gender, age, income, immersiveness, and space tourism intention
<p><span>The current study is conducted to examine the following research questions:</span></p> <ul> <li><span>How are gender, age, and income associated with the intention to try space tourism?</span></li> <li><span>How are gender, age, and income associated with the intention to try space tourism when conditional on the level of immersiveness in information on social media?</span></li> </ul>
Resources for BMF CP 82: Space tourism, information trustworthiness, usefulness, and immersiveness
<p><span>The current study is conducted to examine the following research questions:</span></p> <ul> <li><span>How are information trustworthiness, usefulness, and immersiveness associated with the general intention to try space tourism?</span></li> <li><span>Does the uncertainty of information (proxied by information trustworthiness) moderate the associations between information usefulness, immersiveness, and the general intention to try space tourism?</span></li> </ul>
Dataset for Elastic Resource Scaling
<p>This project contains the data used in the conference paper entitled <a href="https://ieeexplore.ieee.org/document/10154358">V2N Service Scaling with Deep Reinforcement Learning</a>, which was presented at <a href="https://ieeexplore.ieee.org/servlet/opac?punumber=10574855">NOMS</a>.</p>
Dataset and R script - Non-linear transcriptomic responses to compounded environmental changes across temperature and resources in a pest beetle, Callosobruchus maculatus
<p>This dataset contains data and R script for analysis on life history and transcriptomic responses to single dimensional changes in resource (chickpea-27<span>°</span>C) and temperature (cowpea-35<span>°</span>C) and multi-dimensional environmental changes in resource and temperature (chickpea-35<span>°</span>C) in a pest beetle, <em>Callosobruchus maculatus</em> (control treatment = cowpea-27<span>°</span>C). Dataset contains life history data collected in laboratory conditions<em> </em>(tab 1), logFC data (RNA-sequencing; Novogene Co. Ltd.) for Spearman rank correlation tests between treatments (tabs 2-4), read count data (RNA-sequencing; Novogene Co. Ltd.) for differential expression analysis using edgeR (R1-5 = Four samples at cowpea-27<span>°</span>C; R7-12 = Four samples at cowpea-35<span>°</span>C; R13-17 = Four samples at chickpea-27<span>°</span>C; R25-28 = Four samples at chickpea-35<span>°</span>C; tab 5) and edgeR output data for plotting in R (tab 6). </p>
Resources for "BMF CP 92: Who had no wildlife smoke notifications and knowledge of the air quality rating system?"
<p>The current study is conducted to examine the following research questions:</p> <ul> <li>Who were the people who had no access to wildfire smoke notifications during the smoke event in the summer of 2018 in the Boise Metropolitan Area in Idaho?</li> <li>Who were the people who were not familiar with the air quality rating system?</li> </ul>
Resources for "BMF CP 93: Characteristics of people likely to reduce outdoor activities due to wildfire smoke"
<p>The current study is conducted to examine the following research questions:</p> <ul> <li>Who were people more likely to reduce outdoor activities during the smoke event in the summer of 2018 in the Boise Metropolitan Area in Idaho?</li> <li>Who were people having more days with reduced outdoor activities during the smoke event in the summer of 2018 in the Boise Metropolitan Area in Idaho?</li> </ul>
Resources for "BMF CP 98: Parents as motivations for children's waste reusing and recycling behaviors"
<p>The current study is conducted to examine the following research questions:</p> <ul> <li>How are the father’s interactions with children regarding waste recycling associated with the children’s recycling behaviors?</li> <li>How are the mother’s interactions with children regarding waste recycling associated with the children’s recycling behaviors?</li> </ul>
Resources for "BMF CP 100: Engaging children with nature to cultivate their environmental awareness and protection"
<p><span>The current study is conducted to examine the following research questions:</span></p> <ul> <li><span>How is engaging children with nature associated with their environmental awareness?</span></li> <li><span><span><span> </span></span></span><span>How is engaging children with nature associated with their environmental protection participation?</span></li> </ul>
Resources for "BMF CP 99: Parents as motivations for children's energy conservation behaviors"
<p>The current study is conducted to examine the following research questions:</p> <ul> <li>How are the father’s interactions with children regarding energy saving associated with the children’s energy conservation behaviors?</li> <li>How are the mother’s interactions with children regarding energy saving associated with the children’s energy conservation behaviors?</li> </ul>
Resources for studying the aesthetic and diversity values of plants and pets in shaping biodiversity loss belief among urban residents
<p><span>Considering the issues of data transparency and the cost of reproduction, all data and code snippets of the study titled "From beauty to belief: The aesthetic and diversity values of plants and pets in shaping biodiversity loss belief among urban residents" are deposited here.</span></p>
Transitive prediction of small molecule function through alignment of high-content screening resources
<p>This dataset supports the development of CLIP<sup>n</sup>, a contrastive-learning framework designed to align heterogeneous high-content screening (HCS) profile datasets.</p> <p><strong>GitHub link</strong>: https://github.com/AltschulerWu-Lab/CLIPn</p> <h2>Directory Structure</h2> <h3>Data Files</h3> <ul> <li>HCS_datasets.pkl: Contains 13 high-content screening (HCS) datasets from multiple studies across 20 years.</li> <li>Hypoxia.pkl: Contains 8 profile datasets using different assays and treated under diverse hypoxia durations.</li> <li>Expression.pkl: Contains 2 transcriptional profile datasets and 6 image profile datasets for multimodal analysis.</li> </ul> <h3>Folders</h3> <p><strong>raw_profiles</strong>:<br>HCS13/<br>- Contains raw data from 13 high-content screening (HCS) datasets. Each dataset includes meta and feature files. </p> <p>L1000/<br>- CDRP_feature_exp.csv: Raw L1000 expression data from the CDRP dataset.<br>- CDRP_meta_exp.csv: Metadata associated with the CDRP expression data.<br>- LINCS_feature_exp.csv: Raw L1000 expression data from the LINCS dataset.<br>- LINCS_meta_exp.csv: Metadata associated with the LINCS expression data.</p> <p>RxRx3/<br>- RxRx3_feature_final.csv: Profile data from the RxRx3 dataset.<br>- RxRx3_meta_final.csv: Metadata from the RxRx3 dataset.</p> <p>Uncharacterized_compounds/<br>- NCI_cpnData.csv: Feature data for uncharacterized compounds from the NCI dataset.<br>- NCI_cpnInfo.csv: Information about uncharacterized compounds in the NCI dataset.<br>- Prestwick_UTSW_cpnData.csv: Feature data for uncharacterized compounds from the Prestwick UTSW dataset.<br>- Prestwick_UTSW_cpnInfo.csv: Information about uncharacterized compounds from the Prestwick UTSW dataset.</p> <h2><br>Usage</h2> <p><br><br><code>import pickle</code><br><code>with open('data.pkl', 'rb') as f:</code><br><code> data = pickle.load(f)</code></p> <p><code>X = data['X']</code><br><code>y = data['y']</code><br><br></p> <h2>Data Reference</h2> <p><br>For raw datasets from 13 HCS database, data and analysis pipeline for dataset 1 was obtained from https://www.science.org/doi/suppl/10.1126/science.1100709/suppl_file/perlman.som.zip; for datasets 2-3, data were shared by authors; For datasets 4-5, analysis code was downloaded from https://static-content.springer.com/esm/art%3A10.1038%2Fnbt.3419/MediaObjects/41587_2016_BFnbt3419_MOESM21_ESM.zip and data were shared by authors; For datasets 6-7, processed dataset was downloaded from AWS following instructions from https://github.com/carpenter-singh-lab/2022_Haghighi_NatureMethods, and replicate_level_cp_normalized.csv.gz features were used. For project datasets 8-13, datasets and analysis results were downloaded from https://zenodo.org/records/7352487. For RxRx3, dataset was obtained from https://www.rxrx.ai/rxrx3. L1000 transcript datasets were downloaded using the same link as datasets 6-7 and the processed transcript data files (named “replicate_level_l1k.csv”) were used. </p>
Key Resource Table associated with "Endo-IP and Lyso-IP Toolkit for Endolysosomal Profiling of Human Induced Neurons"
<p>This entry contains a Key Resource table associated with: https://doi.org/10.1101/2024.09.24.614704</p>
Data from: Mismatches between the resources for adult herbivores and their offspring suggest invasive Spartina alterniflora is an ecological trap
1. Plant invasions can alter the behavior and performance of native herbivorous insects because the insects are evolutionarily naïve to the novel plants. An ecological trap results when native insects prefer invasive plants over their native hosts but suffer reduced fitness on the invaders. Although such traps are predicted to occur frequently given the prevalence of invasive plants, empirical support for ecological traps and their underlying mechanisms remains sparse. 2. We examined the potential for the invasive plant Spartina alterniflora to act as an ecological trap for the native moth Laelia coenosa, which previously fed mainly on the indigenous plant Phragmites australis in a Chinese saltmarsh. We surveyed Laelia egg densities on Spartina and Phragmites in the field, and determined adult oviposition preference and offspring development on the two plant species. To investigate the causes of adult preference and offspring performance patterns, we compared resource abundance in the field, plant-odor attractiveness, and leaf nutritional and defensive traits between Spartina and Phragmites. 3. We found that Laelia egg density and female preference for ovipositing were higher on Spartina than Phragmites. However, performance of offspring was poorer on Spartina than Phragmites. Spartina dominated a larger area and had greater leaf biomass than Phragmites in the field, and volatile odors released by Spartina were more attractive to Laelia females than those released by Phragmites. Although leaf C, C:P ratio, and terpenoid content did not differ significantly between the two plant species, Spartina leaves were tougher and more waxy, had lower N, and had higher concentrations of alkaloids and phenolics than Phragmites leaves. 4. Synthesis: Our data suggest that invasive Spartina can create an ecological trap for the native insect Laelia. This trap appears to result from environmental cues (resource availability and leaf odors) that attract the herbivore to the plant, but do not reliably predict the dietary qualities (nutrition and defenses) that negatively affect herbivore offspring performance. These findings reveal an important negative effect of plant invasions on resident herbivores and highlight the roles of resource availability and plant traits at different life stages of the insect.
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.