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87 results for “finance”

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zenodo40/100

Dataset: New Mountain Finance Corporation 8.250% Notes due 2028 (NMFCZ) 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 →
zenodo40/100

Dataset: New Mountain Finance Corporation (NMFC) 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 →
zenodo40/100

Dataset: Logan Ridge Finance Corporation (LRFC) 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 →
zenodo40/100

SSIX Finance Gold Standards

<p><strong>SSIX Finance Gold Standards&nbsp;</strong></p> <ol> <li>Microblogs - English</li> <li>News Headlines - English</li> </ol> <p>These resources were created in the context of the SSIX project. Only a sample is available here, to&nbsp;download the full files please follow the instruction at <a href="https://ssix-project.eu/knowledgebase/gold-standards/">https://ssix-project.eu/knowledgebase/gold-standards/</a></p>

opencc-by-nc-4.0Jun 2017View details →
zenodo40/100

Access to Finance and Related Funding_Video 1

Open the record for dataset details and reuse information.

opencc-by-4.0Sep 2024View details →
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Access to Finance and Related Funding_Video 2

Open the record for dataset details and reuse information.

opencc-by-4.0Sep 2024View details →
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Access to Finance and Related Funding_Video 3

Open the record for dataset details and reuse information.

opencc-by-4.0Sep 2024View details →
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FINANCIAL INSIGHTS INTO HUMAN CAPITAL: ASSESSING EMPLOYEE CONTRIBUTION FROM HR-FINANCE PERSPECTIVE

<p>International Research Journal of&nbsp;<br>Management Sociology &amp; Humanities</p> <p>ISSN 2277 &ndash; 9809 (online)<br>ISSN 2348 - 9359 (Print)</p> <p>Volume 15, Issue 9 , page 126-136&nbsp;</p> <p>Name of the research paper : FINANCIAL INSIGHTS INTO HUMAN CAPITAL: ASSESSING EMPLOYEE CONTRIBUTION FROM HR-FINANCE PERSPECTIVE</p> <p>Authors&nbsp;<br>Suvendu Narayan Roy<br>Director, Knowgen Education Services Private Limited<br>Researcher, Faculty of Finance &amp; Management<br>Orcid id : https://orcid.org/0000-0002-2801-0740<br>Soham Roy<br>Researcher &amp; Partner, E &amp; O Learnet and Learnet Manpower Solutions<br>Orcid id : https://orcid.org/0000-0002-3127-608</p>

opencc-by-4.0Sep 2024View details →
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Desafio Banco ABC Brasil de Golf Finance 2023.1

<p>Neste ambiente est&atilde;o dispon&iacute;veis imagens que representam o <em>Desafio Banco ABC Brasil de Golf Finance</em>, realizado entre 27 e 31 de mar&ccedil;o de 2023, no Clube de Campo de S&atilde;o Paulo (CCSP), SP, Brasil.</p>

opencc-by-4.0Mar 2023View details →
zenodo36/100

Data and code in support of "Quantifying international climate finance needs and its social and climate benefits"

<div> <div>These folders contain the code and figures for experiments, data analysis and visualization of results associated with the paper "Quantifying international climate finance needs and its social and climate benefits".</div> <br> <div>The folder FullAdaptation contains the data needed to produce the figures reported in the main text assuming adaptation as in Agrawala et al.</div> <div>The folder WITCHAdaptation contains the data needed to produce the figures reported in the supplementary material and discussed in the context of alternative assumptions for adaptation modeling.</div> <br> <div>Each of these folders contains:</div> <div>- the original optimization experiments (with and without transfers under different inequality aversion levels);</div> <div>- the CRICE code which is used to simulate the obtained policies from the folders above;</div> <div>- folders containing figures (main/supp figures and optimization runtimes);</div> <div>- world-administrative boundaries shapefile (https://public.opendatasoft.com/explore/dataset/world-administrative-boundaries/export/);</div> <div>- script to compile the optimization version of CRICE (compile_run.sh). This is needed to run the optimizations but it requires substantial computational time;</div> <div>- script to select the best solution/runtime across seeds (best_runtime.py);</div> <div>- script to simulate the best solutions (simulate_sensitivity_mitigation.py). Before running this run "make clean &amp;&amp; make" in the CRICE50 folder to make sure the simulation model is compiled;</div> <div>- script to produce figures (analyze_results.py, plot_figures.py, plot_maps.py, plot_runtime.py).</div> </div>

opencc-by-4.0Oct 2024View details →
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Research Landscape of Energy Transition and Green Finance: A Bibliometric Analysis

<p>Dataset for article title "<span>Research Landscape of Energy Transition and Green Finance: A Bibliometric Analysis".</span></p>

opencc-by-4.0Dec 2023View details →
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Biodiversity Risks and Safeguards of China's Hydropower Financing in BRI Countries: Materials and Data

<p>Materials and Data of a One Earth Journal article:</p> <p>Narain D, Teo HC, Lechner AM, Watson JEM, Maron M. 2021. Biodiversity risks and safeguards of China&rsquo;s hydropower financing in BRI countries. (in press)</p> <p>&nbsp;</p>

opencc-by-4.0Aug 2022View details →
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Goldin Finance 117

Goldin Finance is the tallest building in Tianjin, China. Where Tianjin CTF Financial Centre is located (2nd tallest). It has started construction in 2006 and topped out in 2015, but was put to on hold in 2019 due to exceeding height limit as being said by Chinese government regulations on super tall building. This building however, add a few glass panels every few months which might take even longer to complete. It is standing at 1,957 feet tall and it is the world's 5th tallest building (if completed). Source: Objaverse 1.0 / Sketchfab

opencc-byJan 2022View details →
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Dataset for—The influence of land finance and public service supply on peri-urbanization: Evidence from the counties in China

<p>The dataset covers 2006 counties in China and ranges from 2009 to 2015.It includes land finance data at county level, efficiency of public service supply, economic bias of public service supply, household registration difference of public service supply, financial decentralization data, agricultural development level data, financial development level data, foreign direct investment data and industrial structure data.</p> <p>The data of land finance is from the Ministry of Land and Resources. It is also supplemented by the websites of the prefecture-level municipal land and resources bureaus, the provincial statistical yearbooks and Wind database. The data of public service variables and control variables mainly come from the Economic Statistical Yearbook of China County and City (2010-2016), Statistical Yearbook of China&rsquo;s Counties (2010-2016), County-level statistical bulletin (2010-2016), Statistical Yearbook of China&#39;s Provinces (2010-2016), Statistical Yearbook of Prefecture-level Cities (2010-2016), Wind database, etc.</p> <p>This data set is mainly suitable for studying the development of land finance in the China&#39;s counties, the changing trend of peri-urbanization, and the research on the public services supply in China&#39;s counties.</p>

opencc-by-4.0Aug 2019View details →
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Sustainable and Equitable Financing for Pedestrian Infrastructure Maintenance

<p>Corresponding data set for Tran-SET Project No. 17PPUNM01. Abstract of the final report is stated below for reference:</p> <p>&quot;In many communities, pedestrian infrastructure is discontinuous, inaccessible to those with physical disabilities, and poorly maintained. Correcting these problems would be a first step in providing infrastructure to achieve the active travel and related transportation goals of many communities. One nearly universal challenge to maintaining sidewalks in a state of good repair and addressing environmental justice concerns is an adequate, sustainable, and equitable source of funding. Municipal governments across the country maintain and repair their streets and roadways; however, most require residents to maintain and repair public sidewalks adjacent to their property. These policies are difficult to enforce and may be at least partly responsible for the poor condition of many sidewalks. They may also place a relatively high cost on low-income households. We evaluate three alternative options for financing the maintenance of public sidewalks in Albuquerque, New Mexico: increasing the gross receipts tax (GRT), the gasoline excise tax, or the property tax. These are broad-based taxes that many municipalities already levy to pay for public infrastructure, including streets. We conclude that any of the alternatives would perform better than policies that require adjacent property owners to maintain public sidewalks. They are generally less regressive, cost less on average, and would allow municipalities to more effectively manage sidewalk assets. The differences between the alternatives are relatively minor compared to their benefits. Additional considerations should include how the revenue from each tax may change over time.&quot;</p>

opencc-by-4.0Dec 2017View details →
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CF_D1 Interviews with public authorities about climate adaptation finance

<p><span>The CLIMATEFIT dataset D1 contains data </span><span>collected</span><span> as part of </span><span>WP1&rsquo;s</span> <span>T</span><span>ask 1.1</span><span>: </span><span>Assess financing barriers and drivers for territories</span><span> (Leader: </span><span>Actierra</span><span>). <span>This dataset contains interview transcripts and summaries of interviews conducted by the facilitators with the 20 territories</span>. The interviews were about challenges and barriers regarding accessing climate adaptation funds and sources.</span></p> <p><span>Data that is already published in WP1&rsquo;s <a href="https://climatefit-heu.eu/knowledge-center/">Deliverable 1.1: Adaptation Investment Landscape</a>, is not included in this dataset.&nbsp;</span></p> <p><span>More information can be found in the Readme file in this dataset.</span></p>

opencc-by-4.0Sep 2024View details →
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CF_D2 financial and investment entities viewpoint and maturity about climate adaptation finance

<p><span>The CLIMATEFIT dataset D</span><span>2</span><span> contains data </span><span>collected</span><span> as part of </span><span>WP1&rsquo;s</span> <span>T</span><span>ask 1.</span><span>2</span><span>: </span><span>Understand financial and investment entities point of view and maturity (M1-M8; Leader: WCF</span><span>).</span></p> <p><span><span>This data set contains no other data than what is available in&nbsp;</span><a href="https://climatefit-heu.eu/knowledge-center/"><span>Deliverable 1.1 Adaptation Investment Landscape</span></a>.&nbsp;These interview transcripts and surveys are not included in this dataset due to sensitivity of information.</span></p>

opencc-by-4.0Sep 2024View details →
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CF_D3 Interviews with with best practices of climate finance

<p><span>The CLIMATEFIT dataset D1 contains data </span><span>collected</span><span> as part of </span><span>WP1&rsquo;s</span> <span>T</span><span>ask 1.1</span><span>: </span><span>Understand and capitalise on the good practices (M1-M10; Leader: UA</span><span>). This dataset contains interviews that were conducted with stakeholders involved in international best practices of innovative climate finance, and innovative adaptation funding and financing solutions.</span></p> <p><span>Data that is already published on the CLIMATEFIT website in WP1&rsquo;s <a href="https://climatefit-heu.eu/knowledge-center/">Deliverable 1.1: Adaptation Investment Landscape</a>, is not included in this dataset.</span></p> <p><span>More information can be found in the Readme file in this dataset.</span></p>

opencc-by-4.0Sep 2024View details →
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Dades històriques de les accions de les empreses més actives de Yahoo Finance (2019-2024)

<p>Aquest dataset cont&eacute; informaci&oacute; hist&ograve;rica sobre les accions de les empreses m&eacute;s actives de <a href="https://finance.yahoo.com/markets/stocks/most-active/">Yahoo Finance</a>. Inclou preus diaris com ara els preus d'obertura, m&agrave;xim, m&iacute;nim, tancament i tancament ajustat, aix&iacute; com el volum de negociaci&oacute; de cada empresa. Les dades corresponen als darrers cinc anys i ofereixen una visi&oacute; hist&ograve;rica del rendiment de les accions i les tend&egrave;ncies de les empreses.</p> <p>Els camps que s&rsquo;inclouen al dataset s&oacute;n els seg&uuml;ents:</p> <ul> <li> <p>Date: La data del registre, en format YYYY-MM-DD.</p> </li> <li> <p>Open: El preu d'obertura de l'acci&oacute; en el dia especificat.</p> </li> <li> <p>High: El preu m&eacute;s alt que l'acci&oacute; durant el dia.</p> </li> <li> <p>Low: El preu m&eacute;s baix que l'acci&oacute; durant el dia.</p> </li> <li> <p>Close: El preu de tancament de l'acci&oacute; al final del dia.</p> </li> <li> <p>Adj Close: El preu de tancament ajustat (tenint en compte dividends i splits).</p> </li> <li> <p>Volume: El volum de transaccions de l&rsquo;acci&oacute;.&nbsp;</p> </li> <li> <p>Company: El nom de l'empresa a la qual pertany l'acci&oacute;.</p> </li> </ul> <p>&nbsp;</p>

opencc-by-4.0Oct 2024View details →
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NYC Open Data (Finance) - D4 Evaluation Datasets

<p><a href="https://opendata.cityofnewyork.us/">NYC Open</a> Finance data used for the evaluation of our data-driven domain discovery algorithm (D4). This repository contains 176 tables that were downloaded on 2016-11-22 from the <a href="http://api.us.socrata.com/api/catalog/v1">Socrata Open Data API</a>.</p> <p>&nbsp;</p>

opencc-by-4.0Nov 2016View details →

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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.

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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