Ftp Search
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These FTP search engines allow you to search for file or directory names. They can't be used with complex search queries like \"why is the sky blue\" because they only compare the text of the query with the file or directory names.
Our storage area ran into trouble with SMB connections and now we have been forced to use FTP to access files on a regular basis. So rather than using Bash, I am trying to use python but I am running into a few problems. The script needs to recursively search through the FTP directory and find all files \"*1700_m30.mp4\" newer than 24 hours. Then copy all these files locally.
Archie is a tool for indexing FTP archives, allowing users to more easily identify specific files. It is considered the first Internet search engine.[3] The original implementation was written in 1990 by Alan Emtage, then a postgraduate student at McGill University in Montreal, Canada.[4][5][6][7]
Archie has since been superseded by other, more sophisticated search engines, including Jughead and Veronica. These were in turn superseded by search engines like Yahoo! in 1995 and Google in 1998. Work on Archie ceased in the late 1990s. A legacy Archie server is still maintained active for historic purposes in Poland at University of Warsaw's Interdisciplinary Centre for Mathematical and Computational Modelling.
The name derives from the word \"archive\" without the v. Emtage has said that contrary to popular belief, there was no association with the Archie Comics.[9] Despite this, other early Internet search technologies such as Jughead and Veronica were named after characters from the comics. Anarchie, one of the earliest graphical FTP clients was named for its ability to perform Archie searches.
The earliest versions of Archie would simply search a list of public anonymous File Transfer Protocol (FTP) sites using the Telnet protocol and create an index of the FTP files. FTP is essentially a way to transfer files between computers. To view the contents of a file, it had first to be downloaded. The indexes are updated on a regular basis (contacting each roughly once a month, so as not to waste too many resources of the remote servers) and requested a listing. These listings were stored in local files to be searched using the Unix grep command.
The developers populated the engine's servers with databases of anonymous FTP host directories.[10] This was used to find specific file titles since the list was plugged in to a searchable database of FTP sites.[11] Archie did not recognize natural language requests nor index the content inside the files. Therefore, users had to know the title of the file they wanted. The ability to index the content inside the files was first introduced by Gopher.
Emtage and Heelan wrote a script allowing people to log in and search collected information using the Telnet protocol at the host \"archie.mcgill.ca\" [132.206.2.3].[12] Later, more efficient front- and back-ends were developed, and the system spread from a local tool, to a network-wide resource, and a popular service available from multiple sites around the Internet. The collected data would be exchanged between the neighbouring Archie servers. The servers could be accessed in multiple ways: using a local client (such as archie or xarchie); telnetting to a server directly; sending queries by electronic mail;[13] and later via a World Wide Web interface. At the zenith of its fame the Archie search engine accounted for 50% of Montreal Internet traffic.[citation needed]
In 1992, Emtage along with Deutsch and some financial help of McGill University formed Bunyip Information Systems the world's first company expressly founded for and dedicated to providing Internet information services with a licensed commercial version of the Archie search engine used by millions of people worldwide. Heelan followed them into Bunyip soon after, where he together with Bibi Ali and Sandro Mazzucato was a part of so-called Archie Group. The group significantly updated the archie database and indexed web-pages. Work on the search engine ceased in the late 1990s.
I'm running OSX 10.7 and i'm looking for a way to search for a string in the contents of a file on a remote FTP server. I'd like to be able to run the search over ftp rather than having to download all the files, and then search them locally.
Paste the article title into the search box, or enter citation details such as the author, journal name and the year the article was published in the search box and the PubMed citation sensor will automatically analyze your query for citation information to return the correct citation. The citation sensor incorporates a fuzzy matching algorithm and will retrieve the best match even if a search includes an incorrect term. You do not need to use field tags or Boolean operators.
Names entered using either the lastname+initials format (e.g., smith ja) or the full name format (john a smith) and no search tag are searched as authors as well as collaborators, if they exist in PubMed.
Note: The Results by Year timeline counts all publication dates for a citation as supplied by the publisher, e.g., print and electronic publication dates. These dates may span more than one year; for example, an article that was published online in November 2018 and published in a print issue in January 2019. This means the sum of results represented in the timeline may differ from the search results count.
The relative date range search for publication dates will also include citations with publication dates after today's date; therefore, citations with publication dates in the future will be included in the results.
These filters may exclude some citations that have not yet completed the MEDLINE indexing process because they rely on the Publication Type [pt] data for the citation; publication type data may be supplied by the publisher or assigned during the MEDLINE indexing process. However, the Systematic Review article type filter uses a search strategy to capture non-MEDLINE citations and citations that have not yet completed MEDLINE indexing in addition to citations assigned the systematic review publication type.
To search for systematic reviews in PubMed, use the Systematic Review article type filter on the sidebar, or enter your search terms followed by AND systematic[sb] in the search box. For example, lyme disease AND systematic[sb].
The Systematic Review filter uses a search strategy in addition to the Systematic Review publication type [pt] to find systematic reviews in PubMed. To limit your search to only those citations with the Systematic Review publication type, use the publication type search tag[pt], i.e., systematic review[pt]; however, this may exclude some relevant citations that have not yet completed the MEDLINE indexing process.
The Exclude preprints filter can be added to the sidebar using the Additional Filters button. Alternatively, you can exclude preprints from your search results by including NOT preprint[pt] at the end of your query.
The MEDLINE filter can be added to the sidebar using the Additional Filters button. To use this filter in a query, add medline[sb] to your search. The MEDLINE filter limits results to citations that are indexed for MEDLINE.
When you enter search terms as a phrase, PubMed will not perform automatic term mapping that includes the MeSH term and any specific terms indented under that term in the MeSH hierarchy. For example, \"health planning\" will include citations that are indexed to the MeSH term, Health Planning, but will not include the more specific terms, e.g., Health Care Rationing, Health Care Reform, Health Plan Implementation, that are included in the automatic MeSH mapping.
PubMed uses a phrase index to provide phrase searching. To browse the phrase index, use the Show Index feature included in the Advanced Search builder: select a search field, enter the beginning of a phrase, and then click Show Index.
Phrases may appear in a PubMed record but not be in the phrase index. To search for a phrase that is not found in the phrase index, use a proximity search with a distance of 0 (e.g., \"cognitive impairment in multiple sclerosis\"[tiab:0]); this will search for the quoted terms appearing next to each other, in any order.
PubMed applies an AND operator between concepts, e.g., \"vitamin c common cold\" is translated as vitamin c AND common cold. Enter Boolean operators in uppercase characters to combine or exclude search terms:
Click the title of the citation to go to its abstract page, or change the search results display to Abstract format using the Display options button in the upper right corner of the search results page.
MEDLINE indexed citations include additional supplemental information on the Abstract page such as MeSH terms, publication types, and substances with links to search for these data in PubMed and the MeSH Database.
The Clipboard provides a place to collect up to 500 items from one or more searches. Items saved to the Clipboard are stored in your browser cookies and will expire after 8 hours of inactivity. If you would like to save items for longer than 8 hours or to view on another device, please use Send to: Collections.
Tools included on the Advanced Search page help users to: search for terms in a specific field, combine searches and build large, complex search strings, see how each query was translated by PubMed, and compare number of results for different queries.
The Advanced Search Builder includes the Show Index feature, which provides an alphabetical display of terms appearing in selected PubMed search fields. You can browse by all fields or within specific fields such as MeSH Terms.
The COVID-19 article filters limit retrieval to citations about the 2019 novel coronavirus. Results are displayed in a column filtered by research topic categories. See COVID-19 article filters for the filter search strategies; these may evolve over time.
Clinical Study Categories use a specialized search method with built-in search filters that limit retrieval to citations reporting research conducted with specific methodologies, including those that report applied clinical research. See Clinical Study Categories filters for the filter search strategies. 59ce067264