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194 results for โAssetizationโ
Adjusted Dayli Close Prices for some assets
<p>Adjusted dayli close prices for SPX:IND, RAY:IND, ACWI:US MXWO:LN EEM:US PCY:US LGCPTRUU:IND LG30TRUU:IND BCWIUSD:IND DXY:CUR BCOM:IND, SPGSCI:IND, RICIGLTR:IND, VNQ:US, GC1:COM, XAUUSD:CUR, CL1:COM, SI1:COM, C 1:COM from 01.01.2011-31.01.2019</p>
Google Trend Enhanced Deep Learning Dataset for Renewable Energy Asset Price Prediction
<h3>Overview</h3> <p>This dataset accompanies the research paper titled <strong>“<a href="https://doi.org/10.1016/j.knosys.2024.112733">A Google Trend Enhanced Deep Learning Model for the Prediction of Renewable Energy Asset Price</a>”</strong> by Dr. Nachiketa Mishra, Dr. Lalatendu Mishra, Balaji Dinesh, P M Kavyassree . The study investigates the predictive efficiency of various forecasting models using oil prices and investor sentiment for renewable energy assets, specifically focusing on renewable energy ETFs such as ICLN, PBD, and QCLN.</p> <p>The dataset contains the processed inputs and raw data used in the analysis, including sentiment indices derived from Google Trends and traditional financial indices.</p> <h3>Citation :</h3> <p>Please cite this dataset as:</p> <ul> <li>Mishra, L., Dinesh, B., Kavyassree, P.M. and Mishra, N., 2024. A Google Trend enhanced deep learning model for the prediction of renewable energy asset price. <em>Knowledge-Based Systems</em>, p.112733.</li> </ul> <pre><code>@bibtex<br><br>@article{MISHRA2025112733,<br>title = {A Google Trend enhanced deep learning model for the prediction of renewable energy asset price},<br>journal = {Knowledge-Based Systems},<br>volume = {308},<br>pages = {112733},<br>year = {2025},<br>issn = {0950-7051},<br>doi = {https://doi.org/10.1016/j.knosys.2024.112733},<br>url = {https://www.sciencedirect.com/science/article/pii/S0950705124013674},<br>author = {Lalatendu Mishra and Balaji Dinesh and P.M. Kavyassree and Nachiketa Mishra},<br>}</code><code><br></code></pre> <h2>Code : </h2> <p>Refer Repository URL provided</p> <h2>Directory Structure and Description</h2> <pre><code>๐ฆ data โโโ ๐ etf-data โ โโโ ๐ ICLN_INPUT.csv # Input data for ICLN โ โโโ ๐ PBD_INPUT.csv # Input data for PBD โ โโโ ๐ QCLN_INPUT.csv # Input data for QCLN โ โโโ ๐ raw-data # Original unprocessed data โ โโโ ๐ market-data # ETF market prices and oil volatility (OVX) โ โโโ ๐ navs # Net Asset Value (NAV) data โ โโโ ๐ volatility # Volatility data (GARCH and Moving Average models) โโโ ๐ google-trends โ โโโ ๐ keys.txt # Keywords for Google Trends search โ โโโ ๐ trends โ โโโ ๐ first-principal-components # Final Google Trend Index (PCA) โ โโโ ๐ formatted-trends # Cleaned trends data โ โโโ ๐ raw-google-trends # Raw fetched Google Trends data</code></pre> <pre>Key Files</pre> <ul> <li><strong>ICLN_INPUT.csv</strong>, <strong>PBD_INPUT.csv</strong>, <strong>QCLN_INPUT.csv</strong>: Processed inputs for the prediction models of each ETF.</li> <li><strong>raw-data</strong>: Contains original data for market prices, NAVs, and volatility measures (GARCH, Moving Average).</li> <li><strong>google-trends</strong>: Data related to Google search trends, including raw, formatted, and the final index derived using Principal Component Analysis (PCA).</li> </ul> <h3>Usage Notes</h3> <ol> <li><strong>Google Trends Data</strong>: The Google Trend Index constructed from the keywords can be found in the <code>first-principal-components</code> folder. This index was a key input in the predictive models and used to construct modified indices in data>*_INPUT.csv’s.</li> <li><strong>Reproducibility</strong>: For reproducing the results from the study, you can directly use the inputs provided under <code>/data</code> to build predictive models.</li> <li><strong>Modifications</strong>: If you aim to modify or extend the dataset, be cautious of the index construction process, particularly around Principal Component Analysis (PCA) in the Google Trends data.</li> </ol> <h2>License</h2> <p>This dataset is released under the <strong>Creative Commons Attribution 4.0 International (CC BY 4.0)</strong> license. You are free to share and adapt the data, provided appropriate credit is given.</p> <h2>Contact Information</h2> <p>For any questions or further information, please contact:</p> <ul> <li><strong>Dr. Nachiketa Mishra</strong>: Department of Mathematics, Indian Institute of Information Technology Design and Manufacturing Kancheepuram, India</li> <li><strong>Dr. Lalatendu Mishra</strong>: Department of Management Sciences, Indian Institute of Technology Kanpur, India</li> <li><strong>Balaji Dinesh</strong>: Department of Computer Science, Indian Institute of Information Technology Design and Manufacturing Kancheepuram, India. email : <a href="mailto:balajidinesh918@gmail.com">balajidinesh918@gmail.com</a></li> </ul>
Electronic Companion -- Optimal Management of Distribution-Connected Assets Operating under Carbon and Energy Day-Ahead Markets
<p>This release is associated with a paper entitled "Optimal Management of Distribution-Connected Assets Operating under Carbon and Energy Day-Ahead Markets".</p> <p>In this document, we provide information regarding the transmission and distribution power systems adopted to present the results shown in the paper. These systems are modified versions of the IEEE <a href="https://icseg.iti.illinois.edu/ieee-14-bus-system/">14-bus</a> and the IEEE <a href="https://cmte.ieee.org/pes-testfeeders/resources/">34-bus</a>, respectively. Five dispatchable generators were added to the distribution system and 13 load shapes were considered. The data regarding the costs and physical parameters of each of the power system's elements are provided in this document.</p>
Replication package for: Credit Access, Selection, and Incentives in a Market for Asset Collateralized Loans: Evidence from Kenya
<p>Paper: Credit Access, Selection, and Incentives in a Market for Asset Collateralized Loans: Evidence from Kenya, by William Jack, Michael Kremer, Joost de Laat and Tavneet Suri, Forthcoming, the Review of Economic Studies.</p> <p>The replication package includes the data and do files for the experiment reported on in the paper. </p>
Data for: Connectedness and spillover effect between cryptocurrency and financial assets
<p><span>Cryptocurrencies have quickly become one type of important financial asset. Accordingly, it is important to understand the interaction between cryptocurrency and other financial asset markets. However, previous literature paid less attention to the correlation between the price trend of cryptocurrencies and other financial assets. Using the vector autoregression model, we analyzed price correlation and spillover effect between cryptocurrencies and financial assets between November 2017 and February 2022. The study concludes that stock price has a spillover effect on cryptocurrencies, government bonds, and precious metals. The research results are useful while allocating portfolios or hedge strategies that include cryptocurrencies and financial assets such as stocks, government bonds, and precious metals.</span></p>
The influence of behavioral aspects on the formation of the value of assets during the period of coronavirus infection
<p>The dataset contains data on the dynamics of the industry indices of the Moscow Stock Exchange and the index IMOEX, the dynamics of macroeconomic factors, abnormal returns</p>
APPENDIX C: PRECUP MAPAMANA: Full list of Culturally and Historically Significant Heritage Assets and Sites in Recto Avenue (NCCA, 2022)
<p>APPENDIX C: PRECUP MAPAMANA: Full list of Culturally and Historically Significant Heritage Assets and Sites in Recto Avenue (NCCA, 2022) for Memoryscapes in Recto-spection: Visualizing Avenida, Recto, and Carriedo, Manila as Virtual Memoryscapes through immersive mobile technologies and digital heritage interpretation. Thesis Adviser: Dr. Cathe Desiree S. Nadal, Ph. D.</p>
APPENDIX D: PRECUP MAPAMANA: Full list of Culturally and Historically Significant Heritage Assets and Sites in Quiapo District (NCCA, 2022
<p>APPENDIX D: PRECUP MAPAMANA: Full list of Culturally and Historically Significant Heritage Assets and Sites in Quiapo District (NCCA, 2022 in the Recto-Avenida-Carriedo Strip (NCCA, 2022) for Memoryscapes in Recto-spection: Visualizing Avenida, Recto, and Carriedo, Manila as Virtual Memoryscapes through immersive mobile technologies and digital heritage interpretation. Thesis Adviser: Dr. Cathe Desiree S. Nadal, Ph. D.</p>
APPENDIX B: PRECUP MAPAMANA: Full list of Culturally and Historically Significant Heritage Assets and Sites in Rizal Avenue (NCCA, 2022)
<p>APPENDIX B: PRECUP MAPAMANA: Full list of Culturally and Historically Significant Heritage Assets and Sites in Rizal Avenue (NCCA, 2022) for <strong>Memoryscapes in Recto-spection: </strong>Visualizing Avenida, Recto, and Carriedo, Manila as Virtual Memoryscapes through immersive mobile technologies and digital heritage interpretation. Thesis Adviser: Dr. Cathe Desiree S. Nadal, Ph. D.</p>
Basic shuriken, game ready assets
Basic shuriken model for who wanna add his unity or any other game engines , project ! if you want you can use emissive map to make the shuriken more shiny :) anyway have nice day! btw if you don't know how to use this map on the unity or blender whatever, I will show in this pdf download and open. PDF [LฤฐNK](http://www.mediafire.com/file/51cgd05i573vt1a/Guide.pdf/file) Fฤฐnal is look like this in Unity  Source: Objaverse 1.0 / Sketchfab
small pieces of assets
just a thing I made Source: Objaverse 1.0 / Sketchfab
Assets Piratas Cartoon/ Low Poly
Source: Objaverse 1.0 / Sketchfab
Japanese Asset Module
Japanese Modular Set Source: Objaverse 1.0 / Sketchfab
Advancing Stroke Safety and Efficacy Through Early Tirofiban Administration After Intravenous Thrombolysis (ASSET-IT)
ClinicalTrials.gov study NCT06134622. IPD Sharing: NO. Countries: 1. Publications: 2.
Community Assets Supporting Transitions (CAST)
ClinicalTrials.gov study NCT03157999. IPD Sharing: NO. Countries: 1. Publications: 4.
Improving Transportation Assets and the Effects on Wellness Metrics
ClinicalTrials.gov study NCT05510765. IPD Sharing: YES. Countries: 1. Publications: 3.
Protecting Our Future Generation: Promotion of Protective Sexual Health Practices Among Native American Youth and Young Adults Through an Assets-based Self-care Intervention
ClinicalTrials.gov study NCT03895320. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Protective Assets Reinforced With Integrated Care and TechnologY (PARITY) Feasibility Trial
ClinicalTrials.gov study NCT05802615. IPD Sharing: NO. Countries: 1. Publications: 1.
ASSET - a Double-Blind, Randomized Placebo-Controlled Clinical Investigation With Altecoยฎ LPS Adsorber
ClinicalTrials.gov study NCT02335723. IPD Sharing: NO. Countries: 3. Publications: 2.
The SUUBI Program: Asset-Ownership for Orphaned Children in Uganda
ClinicalTrials.gov study NCT01163695. IPD Sharing: Not stated. Countries: 1. Publications: 5.
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.