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2,227
datasets available to search
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Dataset results
2,227 results for “markets”
Dataset: Invesco Dorsey Wright Emerging Markets Momentum ETF (PIE) 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: National Security Emerging Markets Index ETF (NSI) 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: Matthews Emerging Markets Discovery Active ETF (MEMS) 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: iShares Core Total USD Bond Market ETF (IUSB) 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: Ingles Markets, Incorporated (IMKTA) 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: Robinhood Markets, Inc. (HOOD) 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: D-Market Elektronik Hizmetler ve Ticaret A.S. (HEPS) 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: Robinhood Markets, Inc. (HOOD) 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.
Fig. 11. A–L in Urban and Peri-urban small and medium-size Enterprise Development for sustainable Vegetable Production and Marketing Systems
Fig. 11. A–L. Mamatia retracta (Popov). A. Dorsal valve RM Br133828, exterior, × 40. B. Dorsal valve RM Br133829, interior, × 50. C. Ventral valve RM Br133830, exterior, × 32. D. Dorsal valve RM Br133831, interior, × 27. E, H, I, K. Ventral valve RM Br133832, exterior (E, × 75), oblique posterior view (H, × 40), oblique lateral view (I, × 75), detail of larval shell (K, × 162). F. Ventral valve RM Br133833, oblique lateral view, 62. G, J. Ventral valve RM Br133834, interior (G, × 45) and detail of apical process (J, × 195). L. Ventral valve RM Br133835, detail of larval shell, × 150. All specimens from the Tremadoc chalcedonites, Wysoczki.
Fig. 6. A–N in Urban and Peri-urban small and medium-size Enterprise Development for sustainable Vegetable Production and Marketing Systems
Fig. 6. A–N. Siphonotretella popovi sp. nov. A, N. Dorsal valve RM Br133791, exterior (A, × 26), detail of spines (N, × 100). B. Dorsal valve RM Br133792, exterior, × 32. C. Holotype, ventral valve RM Br133793, exterior, × 26. D, G, L. Dorsal valve RM Br133794, oblique posterior view (D, × 30), exterior (G, × 30), detail of larval shell (L, × 80). E, J. Dorsal valve RM Br133795, exterior (E, × 40) and detail of larval shell (J, × 120). F, H, I, K. Ventral valve RM Br133796, oblique lateral view (F, × 26), oblique posterior view (H, × 32), detail of larval shell and pedicle opening (I, × 80), detail of larval shell and pedicle opening (K, × 90). M. Dorsal valve RM Br133797, interior, × 40. O. Ventral valve RM Br133798, interior, × 23. All specimens from the Tremadoc chalcedonites, Wysoczki.
Fig. 8. A–Q. Semitreta maior Biernat. A in Urban and Peri-urban small and medium-size Enterprise Development for sustainable Vegetable Production and Marketing Systems
Fig. 8. A–Q. Semitreta maior Biernat. A. Dorsal valve RM Br133807, × 30. B. Dorsal valve RM Br133808, interior, × 40. C, G. Ventral valve RM Br133809, exterior (C, × 13) and oblique lateral view (G, × 13). D, L. Dorsal valve RM Br133812, oblique lateral view (D, × 50), detail of larval shell (L, × 195). E. Dorsal valve RM Br133810, exterior, × 30. F, Q. Ventral valve RM Br133811, oblique lateral view (F, × 75), detail of larval shell (Q, × 195). H. Dorsal valve RM Br133814, oblique lateral view, × 40. I. Dorsal valve RM Br133813, oblique lateral view, × 50). J, K, P, O. Dorsal valve RM Br133815, dorsal interior (J, × 25), oblique lateral view (K, × 50), detail of pseudointerarea (P, 100), detail of pseudointerarea (O, × 60). M, N. Ventral valve RM Br133816, oblique lateral view (M, 32), oblique posterior view (N, × 45). All specimens from the Tremadoc chalcedonites, Wysoczki.
Fig. 4. A–L in Urban and Peri-urban small and medium-size Enterprise Development for sustainable Vegetable Production and Marketing Systems
Fig. 4. A–L. Siphonobolus uralensis (Lermontova). A, G. Dorsal valve RM Br133779, interior (A, × 15) and oblique lateral view (G, × 23). B. Ventral valve RM Br133780, exterior, × 19. C, D, L. Ventral valve RM Br133781, oblique lateral view of exterior (C, × 33), posterior view (D, × 36) and detail of pedicle opening (L, × 80). E, H, J. Ventral valve RM Br133782, oblique lateral view of interior (E, × 28), detail of posterior margin (H, × 100) and detail of pedicle tube (J, × 70). F. Dorsal valve RM Br133783, oblique lateral view of exterior, × 26. I. Dorsal valve RM Br133784, oblique lateral view of interior, × 37. K. Ventral valve RM Br133785, detail of pedicle tube, × 55. All specimens from the Tremadoc chalcedonites, Wysoczki.
Fig. 2. A–K in Urban and Peri-urban small and medium-size Enterprise Development for sustainable Vegetable Production and Marketing Systems
Fig. 2. A–K. Elliptoglossa polonica sp. nov. A, H. Dorsal valve RM Br133767, exterior (A, × 45) and oblique lateral view (H, × 45). B, G. Dorsal valve RM Br133768, interior (B, × 32) and oblique lateral view (G, × 40). C. Holotype, ventral valve RM Br133769, exterior, × 45. D. Ventral valve RM Br133770, interior, × 45. E, F, I. Ventral valve RM Br133771, exterior (E, × 38), oblique lateral view (F, × 40) and detail of larval shell (I, × 135). J. Ventral valve RM Br133772, detail of pseudointerarea, × 400. K. Dorsal valve RM Br133773, oblique lateral view of umbonal section of interior, × 100. All specimens from the Tremadoc chalcedonites, Wysoczki.
Fig. 9. A–F in Urban and Peri-urban small and medium-size Enterprise Development for sustainable Vegetable Production and Marketing Systems
Fig. 9. A–F.?Ditreta dividua Biernat. A, D. Dorsal valve RM Br133817, interior (A, × 36), detail of pseudointerarea (D, × 80). B, C, E, F. Ventral valve RM Br133818, oblique lateral view (B, × 32), exterior (C, × 30), oblique posterior view (E, × 30), detail of larval shell (F, × 165). All specimens from the Tremadoc chalcedonites, Wysoczki.
Script and Data Repository - "Future food prices will become less sensitive to agricultural market prices and mitigation costs" Chen et al.
<p>MAgPIE Model outputs and scripts for analysis of markups, based on MarkupsChen package version 1.2 available here: https://github.com/caviddhen/MarkupsChen/releases/tag/v1.2</p> <p> </p> <p> </p>
Market Research - What's become... of new entrants in research workflows and scholarly communication? ('long list')
<p>Market Research - What’s become... of new entrants in research workflows and scholarly communication?</p> <p>Full report to be published as preprint on OSF Preprints shortly.</p> <p>To systematically create a list of the new entrants in research workflows and scholarly communication that I’ve seen over the years, I used a range of resources, listed hereunder:</p> <ul> <li>400+ Tools and innovations in scholarly communication (charting the <a href="http://bit.ly/innoscholcomm-list">creation and availability</a> (supply side))<a href="#_edn1">[i]</a>. This database continues to build on the 2015-2016 survey by Bianca Kramer & Jeroen Bosman (both at Utrecht University Library), who are interested in the way information is created, shared, and processed in academia<a href="#_edn2">[ii]</a>. From this source I pulled 683 players. From the answers to the open and closed questions in the 2015-2016 survey I found 225 players.</li> <li>Presenters at STM events<a href="#_edn3">[iii]</a> from 2010-2017. This contributed 53 players.</li> <li>Outsell<a href="#_edn4">[iv]</a> ‘Companies to watch’, as per their annual Information Industry Outlook (2009-2017). This source provided 29 players.</li> <li>Pitches at APE (Academic Publishing in Europe) Conferences<a href="#_edn5">[v]</a> between 2011-2017. Here I found 44 players.</li> <li>Nominees for the ALPSP Award for Innovation in Publishing. This source contributed 10 players from 2014-2017.<a href="#_edn6">[vi]</a>.</li> </ul> <p>This file contains the 'long list' per 31 December 2018.</p> <p><a href="#_ednref1">[i]</a> https://docs.google.com/spreadsheets/d/1KUMSeq_Pzp4KveZ7pb5rddcssk1XBTiLHniD0d3nDqo/edit#gid=0</p> <p><a href="#_ednref2">[ii]</a> https://101innovations.wordpress.com/</p> <p><a href="#_ednref3">[iii]</a> https://www.stm-assoc.org/events/?previous</p> <p><a href="#_ednref4">[iv]</a> https://www.outsellinc.com/</p> <p><a href="#_ednref5">[v]</a> https://www.ape2019.eu/ape-literature</p> <p><a href="#_ednref6">[vi]</a> https://www.alpsp.org/Awards</p>
Market Research - What's become... of new entrants in research workflows and scholarly communication? ('sample V2')
<p>Market Research - What’s become... of new entrants in research workflows and scholarly communication?</p> <p>Full report to be published as preprint on OSF Preprints shortly.</p> <p>To systematically create a list of the new entrants, a range of approaches and sources were used. This resulted in a long list (see: <a href="https://zenodo.org/record/2530048#.XDnfnFxKjIV">https://zenodo.org/record/2530048#.XDnfnFxKjIV</a>).</p> <p>The ‘long list’ was shortened to a sample of 120 independent for-profit startups through various filtering exercises, described in the full report. For the sample, three questions were investigated: 1. Did they still exist (independently) in 2018? 2. If so, how were they funded and how were they doing? 3. If they were acquired by 2018, by whom and when were they taken over?</p> <p>This file contains the ‘sample’ and answers to the research questions per 31 December 2018.</p>
European Market Place - FLEXICIENCY project
<p>The FLEXICIENCY project aims to demonstrate how, inside the European Union, the implementation of novel services dedicated to energy market can be boosted by the introduction of a Market Place that allows the exchange of data, services and tools among the operators. The video gives a general overview of the project and the potential benefits of its implementation.</p>
Figure 1. A in Diversity of sarcosaprophagous dipterans (Insecta: Diptera) associated with street markets in the semiarid of northeastern Brazil
Figure 1. A. Location of the municipality of Toritama in the state of Pernambuco, Brazil. B. Jeans Fair held in Toritama, Pernambuco, Brazil. Source: Adapted from Google Maps and Agreste NotÍcia (2020). / A. Ubicación del municipio de Toritama en el estado de Pernambuco, Brasil. B. Feria del Jeans realizada en Toritama, Pernambuco, Brasil. Fuente: Adaptado de Google Maps y Agreste NotÍcia (2020).
Figure 4 in Diversity of sarcosaprophagous dipterans (Insecta: Diptera) associated with street markets in the semiarid of northeastern Brazil
Figure 4. Species accumulation curve for the assemblage of flies in an urban environment of Toritama city, Pernambuco state, Brazil. / Curva de acumulación de especies para el ensamblaje de moscas en un ambiente urbano de la ciudad de Toritama, estado de Pernambuco, Brasil.
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.