Francisco M. Couto · Advances in experimental medicine and biology · 2019
This chapter starts by introducing an example of how we can retrieve text, where every step is done manually. The chapter will describe step-by-step how we can automatize each step of the example using shell script commands, which will be introduced and explained as long as they are required. The goal is to equip the reader with a basic set of skills to retrieve data from any online database and follow the links to retrieve more information from other sources, such as literature.
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Scognamiglio, Fulvio · Open Science Framework · 2025
This component documents the data retrieval stage of the Public Administration Snapshot project. It outlines the planned procedures for identifying Public Administration fields, relevant journals, extracting their OpenAlex Source IDs, and retrieving Work objects through the OpenAlex API. The component includes metadata boundaries, filters, and the planned data structure for generating the initial corpus for downstream cleaning, enrichment, and analysis.
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Perez Gutierrez, Mikel, Cobo-Corrales, Carlos, Castanedo-Alonso, Jose Manuel · Figshare · 2024
Scientific production on physical activity and sustainable development goals. Data mining was perfomed on Scopus and the Web of Science databases.
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Perez Gutierrez, Mikel, Cobo-Corrales, Carlos, Castanedo-Alonso, Jose Manuel · Figshare · 2024
Scientific production on physical activity and sustainable development goals. Data mining was perfomed on Scopus and the Web of Science databases.
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2022
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Scognamiglio, Fulvio · OSF Preprints (OSF Preprints) · 2025
This component documents the data retrieval stage of the Public Administration Snapshot project. It outlines the planned procedures for identifying Public Administration fields, relevant journals, extracting their OpenAlex Source IDs, and retrieving Work objects through the OpenAlex API. The component includes metadata boundaries, filters, and the planned data structure for generating the initial corpus for downstream cleaning, enrichment, and analysis.
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Apress eBooks · 2007
By means of a query, you retrieve data from a database. In this chapter we’ll demonstrate how you can specify a query in a formal way. To do so, we won’t require the formal introduction of any new concepts; we’ve already presented all ingredients for specifying queries.KeywordsData RetrievalDatabase StateUniversal QuantificationMonthly SalaryExistential QuantifierThese keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
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Perez Gutierrez, Mikel, Cobo-Corrales, Carlos, Castanedo-Alonso, Jose Manuel · Figshare · 2025
Scientific production on physical activity and sustainable development goals. Data mining was perfomed on Scopus and the Web of Science databases.
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Yu, Fei · Zenodo (CERN European Organization for Nuclear Research) · 2024
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Mahmudul Hasan Rifat (12884620), Jamil Ahmed (1553680), Milad Ahmed (12884623) et al. · Figshare · 2022
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Florian Hintz, James McQueen, Antje Meyer et al. · The COCOON platform (University of Paris) · 2020
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Berg, Thor Christian · Duo Research Archive (University of Oslo) · 1996
Description of a Data Retrieval System for collecting data from a datalogger and controlling a gamma spectrometer.
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Florian Hintz, James McQueen, Antje Meyer et al. · Americanae (AECID Library) · 2020
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Florian Hintz, James McQueen, Antje Meyer et al. · Data Archiving and Networked Services (DANS) · 2020
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Tateson, Richard Edward, Bonsma, Erwin Rein, Hoile, Cefn Richard et al. · Lancaster EPrints (Lancaster University) · 2004
A browsing process is driven by user interaction. The user is presented with a selection of items 511, 512, ... etc from a range. The user can give inputs representing interest in one or other of the items displayed. The inputs represent rewards, which are distributed to attribute data items or 'keywords' associated with the display items. These keywords are transparent to the user, but represent characteristics of the display items with which they are associated. The browsing system selects items for display according to a probabilistic function weighted to favour those having the keywords which have accrued the highest number of rewards, these being the display items having the most keywords in common with display items previously rewarded by the user during the browsing session. Partial or negative weightings may also be applied to the keyword associations, which are also taken into account in the selection process.
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Marlies T. van Dalen (548183), Jacqueline J. Suijker (548184), Janet MacNeil-Vroomen (548185) et al. · Figshare · 2015
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Fop Naval, Anai. Ysc Arlinetoti, Tl C Oile et al. · 1977
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Hill, Barbarie, Nelson, Janet, Satya-Murti, S. et al. · DigitalGeorgetown (Georgetown University Library) · 1992
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JR Minkel · Scientific American · 2008
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ServiceNow · 2019
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