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885 results for “data strategy”
Figure 5 from: Runnel V, Wetzel F, Groom Q, Koch W, Pe'er I, Valland N, Panteri E, Kõljalg U (2016) Summary report and strategy recommendations for EU citizen science gateway for biodiversity data. Research Ideas and Outcomes 2: e11563. https://doi.org/10.3897/rio.2.e11563
Figure 5 - Biodiversity observation - from observation to data usage
Figure 1 from: Runnel V, Wetzel F, Groom Q, Koch W, Pe'er I, Valland N, Panteri E, Kõljalg U (2016) Summary report and strategy recommendations for EU citizen science gateway for biodiversity data. Research Ideas and Outcomes 2: e11563. https://doi.org/10.3897/rio.2.e11563
Figure 1 - Totally recorded occurrences in 80 European CS data portals and publicly shared in GBIF.
Experimental-data-driven deep learning strategy for Structural Health Monitoring of a plate in acoustic fields
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PP-recyclates characterization after different sampling and recycling strategies - ATR-FTIR data
<p>The purpose of this analysis is to evaluate the efficiency of different recycling procedures and the quality of the resulting recyclates.</p> <p>This dataset contains raw parallel plate rheology data of PP-recyclates from different recycling strategies. The content is:</p> <ul> <li>One Excel file containing ATR-FTIR data of PP recyclates after scCO2 recycling, reference samples and measurement protocol</li> <li>One Excel file containing ATR-FTIR of PP recyclates after solvent-based recycling, reference samples and measurement protocol</li> <li>One Excel file containing ATR-FTIR data of PP recyclates after upcycling, reference samples and measurement protocol</li> <li>One Readme file containing further information about the methodology and nomenclature</li> </ul> <p>This dataset was generated in the framework of PRecycling Horizon Europe project (101058670)</p>
PP-recyclates characterization after different sampling and recycling strategies – XRF data
<p><span>The purpose of this analysis is the development of an efficient sampling protocol for plastic waste streams</span><span> after </span><span>upcycling or </span><span>the treatment with scCO2</span><span> <span>and solvent-based recycling.</span></span></p> <p><span>Taking into consideration the morphology of the recyclates after upcycling, the samples were prepared based on the model waste (MW) approaches. </span><span>The</span><span> recyclates after upcycling are in the form of pellets, therefore the MW approaches </span><span>were </span><span>selected </span><span>in which</span><span> extrusion processes were used.</span></p> <p><span>Taking into consideration the morphology of the recyclates after scCO2, the samples were prepared based on the model waste (MW) approaches. </span><span>The</span><span> recyclates after scCO2 treatment are in the form of flakes, however due to the high heterogeneity of the material and possible low accuracy of analytical evaluation, an extra step of grinding was ad</span><span>d</span><span>ed to increase their representativeness. </span></p> <p><span>Taking into consideration the morphology of the recyclates after </span><span>solvent-based recycling</span><span>, the samples were prepared based on the model waste (MW) approaches. </span><span>The</span><span> recyclates after </span><span>solvent-based recycling</span><span> treatment are in the form of powder, therefore the MW approaches </span><span>were </span><span>selected </span><span>in which</span><span> </span><span>cryogenic grinding processes were used.</span></p> <p><span>The sampling approaches from the (MW) were applied to the recyclates, and each </span><span>was assessed via various analytical technique</span><span>s.</span></p> <p><span>This dataset contains raw XRF data of the r</span><span>ecyclate </span><span>from the different sampling approaches</span><span>, such as:</span></p> <p><span><span>•<span> </span></span></span><span>Excel file</span><span>s</span><span> containing XRF data of the r</span><span>ecyclate</span><span>s, wherein the approach was based on upcycling (compounding)</span><span>,</span><span> <span>supercritical CO2 treatment and solvent-based recycling treatment</span></span><span> with a </span><span>measurement protocol</span></p> <ul> <li><span>One Readme file containing further information about the methodology and nomenclature </span></li> </ul> <p><span>This dataset was generated in the framework of PRecycling Horizon Europe project (101058670)</span></p>
The supporting data for the paper "Synergistic Enhancement of LSTM Time Series Prediction via Companion Strategy and Decay Operator-Improved Aquila Optimization"
<p>数据生成程序</p> <p>该数据集是使用 The Investor's Exchange API 生成的,脚本会定期获取标准普尔 500 指数中所有公司的历史股价。详细说明和脚本可以在 GitHub 存储库中找到。该数据每5年更新一次,最近一次更新于2018年2月。</p> <p> </p> <p>数据处理方法和步骤</p> <p>数据处理的主要步骤包括:</p> <p> </p> <p>数据采集:使用 API 获取每只股票的历史数据,存储在.csv文件中。</p> <p>数据清理:删除重复条目,纠正格式错误,确保数据完整性。</p> <p>数据合并:将单个股票数据合并到一个大.csv文件中,以便于使用。</p> <p>数据验证:通过检查时间序列的连续性和完整性来验证数据的准确性。</p> <p>使用的设备和工具</p> <p>数据采集工具:Python 脚本</p> <p>数据处理工具:用于数据清洗和处理的 Pandas 库</p> <p>数据存储:CSV文件格式</p> <p>时间和地理范围</p> <p>时间范围:数据涵盖过去 5 年的历史股票价格,最新更新于 2018 年 2 月。</p> <p>地理范围:数据涵盖标准普尔500指数中的所有公司,主要是美国市场数据。</p> <p>时间和空间分辨率</p> <p>时间分辨率:每日数据,每个交易日一条记录。</p> <p>空间分辨率:无地理空间分辨率;数据按公司分组。</p> <p>表格数据</p> <p>条目总数:条目总数取决于标准普尔500指数中的公司数量和总交易日数。</p> <p>行标题和列标题:</p> <p>日期:交易日期格式为yy-mm-dd</p> <p>开盘价:开盘价(美元)</p> <p>最高价:当日最高价(美元)</p> <p>最低价:当日最低价格(美元)</p> <p>收盘价:收盘价(美元)</p> <p>交易量:成交股数</p> <p>名称:以股票代码的名义</p> <p>缺失数据</p> <p>数据集在某些交易日可能缺少数据,主要是由于非交易日(例如节假日)或API数据采集过程中的临时网络问题。这些缺失的数据通常不会影响整体分析结果。</p> <p> </p> <p>数据错误</p> <p>由于数据源是第三方 API,因此数据错误的可能性很低。如果发现错误,通常是由于 API 数据采集过程中的临时网络问题造成的。数据清理过程旨在最大限度地减少和纠正这些错误。</p> <p> </p> <p>数据文件说明</p> <p>数据文件类型:</p> <p>all_stocks_5yr.csv:包含所有股票的合并数据文件。</p> <p>individual_stocks_5yr文件夹:包含每个股票的单个.csv文件。</p> <p>文件内容和格式:文件采用 CSV 格式,每个文件包含日期、开盘价、最高价、最低价、收盘价、成交量和股票名称列。</p> <p>文件大小:文件大小取决于特定股票的交易数据量,通常从几MB到几十MB不等。</p> <p>文件格式说明</p> <p>数据以通用的 CSV 格式存储,可以使用 Excel、Notepad++ 或任何支持 CSV 文件的工具打开和查看。对于进一步的数据处理和分析,可以使用 Python Pandas 库。</p> <p> </p> <p>总结</p> <p>该数据集提供过去5年标准普尔500指数中所有公司的历史股价数据,包括开盘价、最高价、最低价、收盘价、交易量等详细信息。它适用于各种财务数据分析和建模应用。数据通过 API 获取并处理,以确保准确性和完整性。</p>
Code and Data for "Effective Statistical Control Strategies for Complex Turbulent Dynamical Systems"
<p>The code and data used in the paper "Effective Statistical Control Strategies for Complex Turbulent Dynamical Systems".</p>
Diagnosis and Treatment Strategy Optimization of Severe Pneumonia Based on Multi-omics Data Integration
ClinicalTrials.gov study NCT06288074. IPD Sharing: YES. Countries: 1. Publications: 0.
Anticoagulation Strategies for Acute Venous Thromboembolism in Patients With End-Stage Renal Disease Using USRDS Data
ClinicalTrials.gov study NCT04818151. IPD Sharing: UNDECIDED. Countries: 1. Publications: 0.
Novel Subtypes and Treatment Strategies of Patients with Unresectable Combined Hepatocellular Cholangiocarcinoma Based on Multimodal Data
ClinicalTrials.gov study NCT06849180. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Longitudinal omics data followed by preclinical treatment studies identify proteasome inhibition as potential salvage strategy for ibrutinib-resistant CLL
GEO Series GSE215414. Mus musculus. 15 samples. Type: Expression profiling by high throughput sequencing.
Data from: Phylogenetically driven sequencing of extremely halophilic archaea reveals strategies for static and dynamic osmo-response
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Data from: Diversity in Müllerian mimicry: the optimal predator sampling strategy explains both local and regional polymorphism in prey
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Data from: Habitat connectivity is determined by the scale of habitat loss and dispersal strategy
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Data from: Cortical recruitment determines learning dynamics and strategy
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Data from: Gizzard vs. teeth, it’s a tie: food-processing efficiency in herbivorous birds and mammals and implications for dinosaur feeding strategies
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Data from: Exploitation of the same trophic link favors convergence of larval life-history strategies in complex life cycle helminths
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Data from: Assessing adaptive phenotypic plasticity by means of conditional strategies from empirical data: the Latent Environmental Threshold Model
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Data from: Cytokinin transfer by a free-living mirid to Nicotiana attenuata recapitulates a strategy of endophytic insects
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Data from: Immigration of susceptible hosts triggers the evolution of alternative parasite defence strategies
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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.