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475 results for “income”

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zenodo28/100

REGULATION OF THE FORMATION OF INCOME IN ENTERPRISES

<p>This article is aimed at recognizing income in accounting, correctly identifying profits and expenses, correctly identifying all expenses spent on recognizing income provided that it comes at a certain cost, and the need to apply the conditions for recognizing income associated with these processes based on the requirements of the principle of "relevance": the inability to correctly calculate the element of accounting</p>

opencc-by-4.0Oct 2023View details →
zenodo28/100

Psychometric Properties of an Instrument Measuring Mon-keypox Knowledge, Perception, and Beliefs of Health Threat in Health Science Students in a Middle-Income Country

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opencc-by-4.0Nov 2023View details →
zenodo28/100

CONCEPTUAL FRAMEWORK OF FACTORS AFFECTING THE INCOME AND QUALITY OF LIFE OF THE POPULATION.

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opencc-by-4.0Dec 2023View details →
dryad28/100

A scoping review exploring vocational rehabilitation interventions for mental health service users with chronic mental illness in low-income to upper-middle-income countries

<p class="MsoNormal"><strong><span>Objective</span></strong></p> <p class="MsoNormal"><span>To synthesize research published on vocational rehabilitation (VR) interventions offered in institutions, by occupational therapists, to mental health service users (MHSUs) with chronic mental illness, in low-income to upper middle-income countries (L-UMIC).</span></p> <p class="MsoNormal"><strong><span>Design</span></strong></p> <p class="MsoNormal"><span>This scoping review used Arksey and O'Malley's methodological framework, the Preferred Reporting Items for Systematic Reviews extension for Scoping Reviews (PRISMA-ScR) and Joanna Briggs scoping review guidelines. </span></p> <p class="MsoNormal"><strong><span>Data Sources</span></strong></p> <p class="MsoNormal"><span>We searched PsycInfo, EBSCOhost, HINARI, Google scholar, Medline, CINAHL, PubMed, Cochrane Library, Scopus, Science Direct and Wiley online library between 15 July and 31 August 2021. </span></p> <p class="MsoNormal"><strong><span>Eligibility Criteria</span></strong></p> <p class="MsoNormal"><span>Sources, published in English between 2011 and 2021, on institution-based VR in occupational therapy for MHSUs who had chronic mental illness in L-UMIC were included. We included primary studies of any design.</span></p> <p class="MsoNormal"><strong><span>Data extraction and synthesis</span></strong></p> <p class="MsoNormal"><span>Three reviewers used Mendeley to manage identified references, Rayyan for abstract and full text screening, and Microsoft Excel for data extraction. Data was sifted and sorted by key categories and themes.</span></p> <p class="MsoNormal"><strong><span>Results</span></strong></p> <p class="MsoNormal"><span>895 sources were identified, and their title and abstracts reviewed. 207 sources were included for full text screening. 12 articles from 4 countries (South Africa, India, Brazil &amp; Kenya) were finally included. Types of VR intervention included supported employment, case management and prevocational </span><span>skills training. Client centeredness, support and empowerment were the key VR principles identified. Teaching of illness self-management, job analysis and matching, job coaching, trial placement, and vocational guidance and counseling, were the main intervention strategies reported.</span></p> <p class="MsoNormal"><strong><span>Conclusions </span></strong></p> <p class="MsoNormal"><span>VR intervention in institutions for MHSUs in L-UMIC revealed the multidimensional uniqueness of individual MHSU's vocational ability, needs and contexts. The interventions allowed client-centered approaches that offer support, and empowerment beyond the boundaries of the institutions. Occupational therapists offering VR need to expand their interventions beyond their institutions to contexts where MHSUs are working or intending to work.</span></p>

opencc-zeroApr 2022View details →
zenodo28/100

Evaluation of a wind tunnel designed to investigate the response of evaporation to changes in the incoming longwave radiation at a water surface. Part I and II

<p>Data in spreadsheet format for wind tunnel evaporation experiments 2019-2022.</p>

opencc-by-4.0Sep 2022View details →
zenodo28/100

Gendered effects of the Personal Income Tax: Evidence from a schedular system with individual filing in Uruguay

<p>Stata codes and dataset supporting the results of this article.</p>

opencc-by-4.0Nov 2017View details →
zenodo28/100

IMPACT OF REMOTE BANKING SERVICES ON BANK INCOME

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opencc-by-4.0Jun 2024View details →
zenodo28/100

Dataset: First Trust TCW Opportunistic Fixed Income ETF (FIXD) 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.

opencc-zeroJun 2024View details →
zenodo28/100

Dataset: Westwood Salient Enhanced Energy Income ETF (WEEI) 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.

opencc-zeroJun 2024View details →
zenodo28/100

Dataset: Defiance Oil Enhanced Options Income ETF (USOY) 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.

opencc-zeroJun 2024View details →
zenodo28/100

ACOUSLIC-AI : Abdominal Circumference Operator-agnostic UltraSound measurement in Low-Income Countries using Artificial Intelligence

<p>Prenatal Ultrasound Frames acquired by novice operators using a pre-specified blind-sweep protocol. Annotations of fetal abdominal circumference in frames where it could be measured. Reference abdominal circumference measurements (in mm) per sweep.</p> <p>A detailed description of the imaging data and annotations can be found <a href="https://acouslic-ai.grand-challenge.org/datasets/" target="_blank" rel="noopener">here</a>.</p> <p>Update notes:</p> <p>Version 1.1 includes updated circumference measurements. In version 1.0, these measurements were incorrectly computed and were too large by a factor of 2, as the minor and major axes were used instead of the semi-minor and semi-major axes.</p>

opencc-by-nc-sa-4.0Apr 2024View details →
zenodo28/100

Replication package for: "Relative Income and Mental Health in Couples"

<p>Getik, Demid. 2024. "Relative Income and Mental Health in Couples". <em>The </em><em>Economic Journal.</em></p>

opencc-by-4.0Jul 2024View details →
zenodo28/100

The Intergroup Bias of Empathy among Incoming Medical Students

<p>Dataset linked to the short communication named: &quot;The Intergroup Bias of Empathy among Incoming Medical Students&quot;.</p>

opencc-by-nc-nd-4.0Jun 2018View details →
zenodo28/100

The relationship between family income in the United States and child mortality

<p>The relationship between family income in the United States and child mortality.</p>

opencc-by-4.0Apr 2019View details →
zenodo28/100

THE EFFECT OF GENDER DISPARITY ON HOUSEHOLD'S INCOME IN ETHIOPIA: THE CASE OF WOLDIA CITY ADMINISTRATION

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opencc-by-4.0Sep 2024View details →
dryad28/100

Data for: From exports to value added to income: Accounting for bilateral income transfers

<p><span>The existence of multinational firms and the rise of global value chains</span><span> raise the question how international trade contributes to a country's income. Ownership relations between, for example, headquarters and subsidiaries result in international income transfers. These transfers are ignored in standard trade data. Taking them into account in a global input-output analysis allows us to assess how much income is generated in one country due to the consumption of final products in another country. This provides a new perspective compared to the concept of value-added exports introduced by Johnson and Noguera (2012). For the US, we find that the income generated by foreign consumption is 51% higher than the value added in the US that is generated by foreign consumption. Similar findings hold for other countries as well, but to a lesser extent. The implication is that the current account deficit of the US almost disappears from the income perspective.</span></p>

opencc-zeroJul 2021View details →
zenodo28/100

THIRD PARTY FUNDS, OTHER BANK LOANS, AND CAPITAL ON FEE-BASED INCOME AT ISLAMIC BANKS IN INDONESIA

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opencc-by-4.0Sep 2023View details →
zenodo28/100

Global subnational Gini coefficient (income inequality) and gross national income (GNI) per capita PPP datasets for 1990-2023

<p>This dataset provides a gridded subnational datasets for</p> <ul> <li>Income inequality (Gini coefficient) at admin 1 level</li> <li>Gross national income (GNI) per capita PPP at admin 1 level</li> </ul> <p>The datasets are based on reported subnational admin data and spans three decades from 1990 to 2023&nbsp;</p> <p>The datasets are presented in details in the following publication. <strong><em>Please cite this paper when using data.&nbsp;</em></strong></p> <p>Chrisendo D, Niva V, Hoffman R, Sayyar SM, Rocha J, Sandstr&ouml;m V, Solt F, Kummu M. 2024. Income inequality has increased for over two-thirds of the global population. Preprint. doi: <a href="https://doi.org/10.21203/rs.3.rs-5548291/v1" target="_blank" rel="noopener">https://doi.org/10.21203/rs.3.rs-5548291/v1</a></p> <p><strong>Code is available</strong> at following repositories:</p> <ul> <li>Gini coefficient data creation: <a href="https://github.com/mattikummu/subnatGini" target="_blank" rel="noopener">https://github.com/mattikummu/subnatGini</a>&nbsp;</li> <li>GNI per capita data creation: <a href="https://github.com/mattikummu/subnatGNI" target="_blank" rel="noopener">https://github.com/mattikummu/subnatGNI</a>&nbsp;</li> <li>analyses for the article: <a href="https://github.com/mattikummu/gini_gni_analyses">https://github.com/mattikummu/gini_gni_analyses</a>&nbsp;</li> </ul> <p><strong>The following data is given (formats in brackets)</strong></p> <p>Gini coefficient:</p> <p>Please note, two distinct datasets for Gini cofficient are given. One based on SWIID national dataset, and another for WID national dataset. These are separated in file names as follows: &nbsp;_disp_ for SWIID (disposable income); _WID_ for WID. &nbsp;</p> <ul> <li>Income inequality (Gini coefficient) at admin 0 level (national) (GeoTIFF, gpkg, csv)</li> <li>Income inequality (Gini coefficient) at admin 1 level (subnational) (GeoTIFF, gpkg, csv)</li> <li>Slope for Gini coefficient at admin 1 level (GeoTIFF; slope is given also in gpk and csv files)</li> <li>Uncertainty (standard deviation for each year and admin area; uncertainty for slope) for Gini (based on SWIID) at admin 1 level (gpkg)</li> <li>Input data for the script that was used to generate the Gini coefficient (input_data_gini.zip)</li> </ul> <p>Gross national income (GNI) pear capita &nbsp;PPP (in 2021 USD):</p> <ul> <li>Gross national income (GNI) per capita PPP at admin 0 level (national) (GeoTIFF, gpkg, csv)</li> <li>Gross national income (GNI) per capita PPP at admin 1 level (subnational) (GeoTIFF, gpkg, csv)</li> <li>Slope for GNI per capita (log10) at admin 1 level (GeoTIFF; slope is given also in gpk and csv files)</li> <li>Input data for the script that was used to generate the GNI per capita PPP (input_data_GNI.zip)</li> </ul> <p><strong>Files are named as follows</strong><br><em>Format</em>: raster data (GeoTIFF) starts with rast_*, polygon data (gpkg) with polyg_*, and tabulated with tabulated_*.&nbsp;<br><em>Admin levels:</em> adm0 for admin 0 level, adm1 for admin 1 level<br><em>Product type:</em>&nbsp;</p> <ul> <li>_gini_disp_ &nbsp;for gini coefficient based on SWIID national dataset (disposable income)</li> <li>_gini_WID_ &nbsp;for gini coefficient based on WID national dataset</li> <li>_uncertainty_slope_gini_disp_ for slope uncertainty of SWIID based Gini</li> <li>_uncertainty_SD_gini_disp_ for standard deviation of SWIID based Gini</li> <li>_gni_perCapita_ for GNI per capita PPP</li> </ul> <p>&nbsp;</p> <p><strong>Metadata&nbsp;</strong></p> <p><em>Grids&nbsp;</em></p> <p>Resolution: 5 arc-min (0.083333333 degrees)&nbsp;</p> <p>Spatial extent: Lon: -180, 180; -90, 90 (xmin, xmax, ymin, ymax)&nbsp;</p> <p>Coordinate ref system: EPSG:4326 - WGS 84&nbsp;</p> <p>Format: Multiband geotiff; one band for each year over 1990-2021</p> <p>Unit: no unit for Gini coefficient and PPP USD in 2017 international dollars for GNI per capita</p> <p>&nbsp;</p> <p><em>Geospatial polygon (gpkg) files:&nbsp;</em></p> <p>Spatial extent:&nbsp;-180, 180; -90, 83.67 (xmin, xmax, ymin, ymax)&nbsp;</p> <p>Temporal extent: annual over 1990-2021</p> <p>Coordinate ref system: EPSG:4326 - WGS 84&nbsp;</p> <p>Format: gkpk&nbsp;</p> <p>Unit: &nbsp;no unit for Gini coefficient and PPP USD in 2017 international dollars for GNI per capita</p> <p>&nbsp;</p> <p><strong>Version 3 changes (24.07.2025)</strong></p> <ul> <li>both datasets updated to cover 1990-2023 (previously 1990-2021)</li> <li>extrapolation method updated</li> <li>Gini data now produced also using WID national data as a base (previously only one based on SWIID was provided)</li> <li>uncertainty analysis done for Gini (SWIID)</li> </ul>

opencc-by-4.0Nov 2024View details →
ClinicalTrials.gov28/100

Pilot Guaranteed Income Study, Philadelphia, April 2023

ClinicalTrials.gov study NCT05838027. IPD Sharing: NO. Countries: 1. Publications: 0.

closedIPD-NOFeb 2026View details →
ClinicalTrials.gov28/100

Breast for Success: A Family-Centered Intervention in Support of Breastfeeding Among High-risk Low-income Mothers

ClinicalTrials.gov study NCT01272661. IPD Sharing: Not stated. Countries: 1. Publications: 0.

restrictedIPD-UNDECIDEDFeb 2026View details →

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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.

allen-brain-atlas
neuroscienceopenDocumentation, web resources, and API references are available online.
Last verified 2026-04-30Open record

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.

abode-home-cage
behavioral-neuroscienceopenThe DataShare record exposes download links for annotations, documentation, license text, and the zipped per-snippet data directory.
Last verified 2026-04-30Open record

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.

dandi-nwb
electrophysiologyopenPublished Dandiset metadata and archive endpoints are available through the production DANDI API.
Last verified 2026-04-30Open record

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.

ibl
behavioral-neuroscienceopenPublic sessions can be searched and loaded from the IBL public data server through ONE.
Last verified 2026-04-29Open record

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.

openneuro
neuroscienceopenPublished datasets are available on demand over the internet.
Last verified 2026-04-29Open record