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Dataset results
475 results for “income”
Dataset: Office Properties Income Trust (OPI) Stock Performance
This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.
Dataset: Office Properties Income Trust (OPINL) Stock Performance
This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.
Dataset: Nuveen Ultra Short Income ETF (NUSB) Stock Performance
This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.
Dataset: Nuveen Preferred And Income ETF (NPFI) Stock Performance
This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.
Dataset: First Trust Flexible Municipal High Income ETF (MFLX) Stock Performance
This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.
Dataset: Multi-Asset Diversified Income Index Fund (MDIV) Stock Performance
This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.
Dataset: Simplify Bitcoin Strategy PLUS Income ETF (MAXI) Stock Performance
This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.
Dataset: JPMorgan Nasdaq Equity Premium Income ETF (JEPQ) Stock Performance
This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.
Dataset: ProShares Nasdaq-100 High Income ETF (IQQQ) Stock Performance
This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.
Dataset: First Trust High Income Strategic Focus ETF (HISF) Stock Performance
This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.
Dataset (encounter histories of female bats) used in the analysis for the paper Culina et al.: Live fast, don't die young: survival reproduction trade-offs in long-lived income breeders
<p>Two data files (Md_capture_H, Mn_capture_H) represent the capture histories of females of two species (Myotis daubentonii = Md, and M. nattereri=Mn). These capture histories were used to run multi-event-capture-mark-recapture model, as described in the paper, and in the readme document in this data package.<br> </p>
Output pathway data for "Income and inequality pathways consistent with eradicating poverty"
<p>This is a dataset presenting GDP and Gini pathways developed for the publication of our article "Income and inequality pathways consistent with eradicating poverty" (forthcoming at ERL) under the SHAPE project (Sustainable development pathways achieving Human well-being while safeguarding the climate And Planet Earth).</p> <p>More info about the SHAPE project is <a href="https://shape-project.org/">here</a>.</p>
A Spatial Analysis of Food Insecurity and Body Mass Index with Income and Grocery Store Density in a Diverse Sample of Adolescents and Young Adults
<p><strong>Abstract: </strong>Food insecurity occurs when a household lacks consistent access to food and is more prevalent in ethnic and racial minoritized populations. While there has been a proliferation of research linking food insecurity to obesity, these findings are mixed. It may be helpful to consider some additional geographic factors that may be associated with both factors including socioeconomic status and grocery store density. The purpose of the current study aimed to examine spatial relationships between food insecurity and SES/store density and BMI and SES/store density in a diverse sample of adolescents and young adults across two studies in a large, urban city. GIS analysis revealed that participants with the highest food insecurity (larger symbols) tend to live in the zip codes with the lowest median income. There did not appear to be clear a relationship between food insecurity and store density. Participants with the highest BMI tend to live in zip codes with lower median income and participants with higher BMI tended to live further away from downtown, which has the highest concentration of grocery stores in the city. Our findings may help to inform future interventions and policy approaches to addressing both obesity and food insecurity in areas of higher prevalence.</p>
The multiomic landscape of epidemiological factors contributing to preterm birth in low- and middle-income countries
<p><span></span></p> <p><span></span></p> <p><span>Preterm birth (PTB) is the leading cause of death in children under five, yet comprehensive studies are hindered by its multiple complex etiologies. Epidemiological associations between PTB and maternal characteristics have been previously described. This work employed multiomic profiling and multivariate modeling to investigate the biological signatures of these characteristics. Maternal covariates were collected during pregnancy from 13,841 pregnant women across five sites. Plasma samples from 231 participants were analyzed to generate proteomic, metabolomic, and lipidomic datasets. Machine learning models showed robust performance for the prediction of PTB (AUROC=0.70), time-to-delivery (<em>r</em>=0.65), maternal age (<em>r</em>=0.59), gravidity (<em>r</em>=0.56), and BMI (<em>r</em>=0.81). Time-to-delivery biological correlates included fetal-associated proteins (e.g., ALPP, AFP, PGF) and immune proteins (e.g., PD-L1, CCL28, LIFR). Maternal age negatively correlated collagen COL9A1; gravidity with endothelial NOS and inflammatory chemokine CXCL13; and BMI with leptin and structural protein FABP4. These results provide an integrated view of epidemiological factors associated with PTB and identify biological signatures of clinical covariates impacting this disease. </span></p>
Time Series Measurement Data of Office Building in Jakarta Indonesia - Incoming Transformer of 20 kV | 0.4 kV
<p>Time Series Measurement Data of Office Buildings in Jakarta Indonesia - Incoming Three Transformers of 2 MVA rating (20 kV | 0.4 kV)<br> The data was taken by Standardized Power Quality Analyzer within minutes span data during eight days in 2016. <br> The data consist of Voltage, Current, Active/Reactive/Apparent Power, Power Factor, Total Harmonic Distortion (THD) within three-phase measurement. Related data was also included from with it i.e., calculated data for active power losses, Unbalanced Voltage per phase, efficiency etc</p>
Time Series Measurement Data of Medium Voltage | Low Voltage [MV|LV] Feeders in Jabodetabek Regions Indonesia – District Incoming Transformers of 630 kVA & 400 kVA (20 kV | 0.4 kV)
<p>Time Series Measurement Data of Medium Voltage | Low Voltage (MV|LV] Feeders in Jabodetabek Regions Indonesia – District Incoming Transformers of 630 kVA & 400 kVA (20 kV | 0.4 kV)<br> Standardized Power Quality Analyzer took the data within 1- and 5 minutes span data during seven days in 2016. <br> The data consist of Voltage, Current, Active/Reactive/Apparent Power, Power Factor, and Total Harmonic Distortion (THD) within three-phase measurement. Related data was also included with it i.e., calculated data for active power losses, Unbalanced Voltage per phase, efficiency etc</p>
citizen-income-LIMO-MODULO
<p>Illustration of :</p> <ul> <li>The complete application process for the citizen's income benefit. The data was collected using the MODULO method. The method is based on the standards of the Federal Information Management (FIM).</li> <li>The logic of an online application for the citizen's income benefit. It shows the sequence and scope of the required data and integrates data dependencies. The model was created using the LIMO method. The method is based on the standards of the Federal Information Management (FIM).</li> </ul>
Residential segregation by income in Spanish municipalities
<p>These databases contain a set of residential segregation values for several municipalities of Spain. On the basis of data on the income distribution of most municipalities provided by the Instituto Nacional de Estadística for the years 2015-2020, the databases contain the values of the Dissimilarity Index for all cities, towns and villages with two or more census tracts. Each database corresponds to the segregation of two different population groups: the segregation of the population below the poverty line versus the rest of the population; and the segregation of households with income above 200% of the median income versus the rest of the population. Original raw data can be extracted <a href="https://www.ine.es/dyngs/INEbase/operacion.htm?c=Estadistica_C&cid=1254736177088&menu=resultados&idp=1254735976608">here</a>. The data of these databases was displayed in the <a href="https://javiersanmillan.shinyapps.io/SegregacionEspana/">website of the author</a>, and the code for creating the databases can be consulted <a href="https://github.com/javisanmillan/VisorSegregacionEspana">here</a>.</p>
Interventions to Help More Low-income Smokers Quit
ClinicalTrials.gov study NCT04311983. IPD Sharing: YES. Countries: 1. Publications: 2.
Impact of Online Ordering on Low-Income Adults' Food Security in Online Food Pantry Settings
ClinicalTrials.gov study NCT05752721. IPD Sharing: YES. Countries: 1. Publications: 1.
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)
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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.