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35 results for “URLs”
Test results and analysis of whitelisted URLs in Jammu and Kashmir, January 2020
<p><strong>Version 3: </strong>In this version, the tab entitled "New entries Jan 31 order" was added to version 2 of the spreadsheet. This tab contains new entries from the whitelist accompanying the order dated 31 January 2020 [Order number: Home-08 (TSTS) of 2020]. A separate tab was required because the "field" category present in previous versions of the whitelist was removed in the 31 January order. </p> <p><strong>Version 2:</strong> This dataset contains an analysis of a whitelist comprising 301 entries issued by the Home Department, Government of Jammu and Kashmir on 24 January 2020 [<a href="http://jkhome.nic.in/Home-05(tsts)%20of%202020_0001.pdf">Order number: Home-05 (TSTS) of 2020</a>]. The department issued an order with the first version of this whitelist in response to a Supreme Court judgement dated 10 January 2020 (<em><a href="https://indiankanoon.org/doc/82461587/">Anuradha Bhasin vs. Union of Indian and Ors</a>.</em>) that directed the Government of India to review the blanket suspension of Internet services in Jammu and Kashmir since 5 August 2019.</p> <p><strong>Version 1:</strong> The first version of the whitelist (dated <a href="https://www.scribd.com/document/443380803/Temporary-Suspension-of-Telecom-Services#download&amp;from_embed">18 January 2020</a>), and this dataset by extension, comprised 153 entries. The Home Department states in its orders that this whitelist will be continually updated; the next update may be issued on 31 January or earlier.</p> <p>This preliminary analysis was conducted by Rohini Lakshané and Prateek Waghre from 22 and 26 January 2020 IST, to empirically determine whether the whitelisted websites and services would be practically usable for an ordinary resident of Jammu and Kashmir at the time of writing.</p> <p>A Chrome browser extension was used to simulate access to only those URLs that are mentioned in the government order.</p> <p>A detailed description of the method, its limitations, and the full analysis of the findings was published on Medianama at <a href="https://www.medianama.com/2020/01/223-analysis-of-whitelisted-urls-in-jammu-and-kashmir-how-usable-are-they/">Even the 301 whitelisted sites in Jammu and Kashmir are not entirely accessible: An analysis </a>on 28 January 2020.</p> <p>For information on how to read this dataset, refer to the tab entitled "About this sheet". A numerical summary of the findings of this analysis is present in the tab entitled "Summary of findings".</p> <p>Data provided AS-IS, without warranty as to accuracy or completeness.</p> <p>This dataset has been released under the <a href="https://creativecommons.org/licenses/by-sa/4.0/legalcode">Creative Commons-Attribution-Share Alike (CC-BY-SA) 4.0 International License</a>. All uses of the accompanying data and modifications and derivatives thereof must contain the following attribution: "By Rohini Lakshané and Prateek Waghre (2020)".</p> <p>All versions have been uploaded in 3 file formats: PDF, XLSX and ODS.</p>
URLs von Webseiten mit Typ Bibliothek aus Lobid.org
<p>List of 5292 URLs. Most are supposed to belong to German libraries. Data originates from Lobid.org on May, 4th 2016. Generated via:</p> <p>curl "http://beta.lobid.org/organisations/search?q=type:Library+AND+url:*&size=6000" > libs-with-urls.json</p> <p>cat libs-with-urls.json | grep \"url\" | cut -d '"' -f4 > urls.txt</p> <p>Only a few minor corrections were made (for example <em>http://</em> instead of <em>http//:</em>).</p> <p> </p>
URLs from tweets for a 2014 sample of Twitter users and for a set of computer scientists
<p>The files in this dataset are used to analyse the tweeting behaviour of computer scientists on Twitter. They comprise</p> <ul> <li>a set of 989,529 tweet-URL pairs (<em>tweets_2014_researcher.tsv.bz2</em>) from 2014 from 6,271 users of the computer scientists sample in https://zenodo.org/record/12942 specified by time, tweet id, user id, and URL,</li> <li>a set of 300,053,850 tweet ids (<em>tweets_2014_sample.tsv.bz2</em>) from the 1% Twitter stream sample from 2014,</li> <li>a set of 671,304 tweet-URL pairs (<em>tweets_2014_sample_6271_users.tsv.bz2</em>) from the 1% Twitter stream sample from 2014 for 6,271 users specified by time, tweet id, user id, and URL,</li> <li>a set of the top 10,000 host names (<em>MAG_hosts_10000.tsv</em>) from the Microsoft Academic Graph data (http://blogs.msdn.com/b/msr_er/archive/2015/06/26/announcing-the-microsoft-academic-graph-let-the-research-begin.aspx), specified by rank, URL count, and host name, and</li> <li>a set of 340 host names of URL shortening services (<em>url_shortening_services.tsv</em>).</li> </ul>
URLs from tweets for a 2014 sample of Twitter users and for a set of computer scientists
<p>The files in this dataset are used to analyse the tweeting behaviour of computer scientists on Twitter. They comprise</p> <ul> <li>a set of 989,529 tweet-URL pairs (<em>tweets_2014_researcher.tsv.bz2</em>) from 2014 from 6,271 users of the computer scientists sample in https://zenodo.org/record/12942 specified by time, tweet id, user id, and URL,</li> <li>a set of 300,053,850 tweet ids (<em>tweets_2014_sample.tsv.bz2</em>) from the 1% Twitter stream sample from 2014,</li> <li>a set of 605,080 tweet-URL pairs (<em>tweets_2014_sample_6694_users.tsv.bz2</em>) from the 1% Twitter stream sample from 2014 for 6,694 users specified by time, tweet id, user id, and URL,</li> <li>a set of the top 10,000 host names (<em>MAG_hosts_10000.tsv</em>) from the Microsoft Academic Graph data (http://blogs.msdn.com/b/msr_er/archive/2015/06/26/announcing-the-microsoft-academic-graph-let-the-research-begin.aspx), specified by rank, URL count, and host name, and</li> <li>a set of 340 host names of URL shortening services (<em>url_shortening_services.tsv</em>).</li> </ul> <p>In addition, the following rankings (based on the odds ratio) of domains, hosts, and URLs that appear in both the researcher dataset and the sample are included:</p> <ul> <li><em>domains_by_odds_ratio.tsv.bz2</em> - a ranking of 61,860 domains,</li> <li><em>hosts_by_odds_ratio.tsv.bz2</em> - a ranking of 80,384 hosts,</li> <li><em>publisher_domains_by_odds_ratio.tsv.bz2</em> - a ranking of 924 publisher domains,</li> <li><em>publisher_urls_by_odds_ratio.tsv.bz2</em> - a ranking of 4,227 publisher URLs.</li> </ul>
NationallyDeterminedContributions_URLs
<p>URLs to pdf documents with National Governments' decarbonization target and strategy as submitted to the <a href="https://www4.unfccc.int/sites/NDCStaging/Pages/All.aspx">(Interim)NDC_Registry</a> for complying with the <a href="https://unfccc.int/process-and-meetings/the-paris-agreement/the-paris-agreement">Paris Agreement</a>'s Article 4, paragraph 12.</p>
Extracted MSR GitHub Repository URLs
<p>This dataset contains text files of <a href="https://github.com">GitHub</a> URLs pointing to hosted git repositories.</p> <p>These URLs come from mining software repository (MSR) datasets. URLs are built by taking the repository owner's name (OWNER) and it's name (REPO) and appending them to https://github.com/. There is one URL per line. <em>URLs have not been tested for their current availibility</em>. An example URL format is provided below:</p> <pre><code>https://github.com/OWNER/REPO</code></pre> <p> Current URLs are from the following datasets:</p> <ul> <li>libraies.io January 12th, 2020 dataset <ul> <li>Jeremy Katz, "Libraries.io Open Source Repository and Dependency Metadata". Zenodo, Jan. 12, 2020. doi: 10.5281/zenodo.3626071.</li> </ul> </li> <li>RepoReapers/reaper dataset <ul> <li>Munaiah, N., Kroh, S., Cabrey, C. et al. Curating GitHub for engineered software projects. Empir Software Eng 22, 3219–3253 (2017). https://doi.org/10.1007/s10664-017-9512-6</li> </ul> </li> <li>GH Torrent dataset <ul> <li>G. Gousios, “The GHTorent dataset and tool suite,” in <em>Proceedings of the 10th Working Conference on Mining Software Repositories</em>, San Francisco, CA, USA, May 2013, pp. 233–236.</li> </ul> </li> </ul>
URL list for downloading training data for 'Maximum Likelihood Phylogeny Reconstruction'' (Galaxy Training Material)
<p>This data is used for Galaxy Training Network (GTN) training 'Maximum Likelihood Phylogeny Reconstruction'. It is a list of Zenodo URL pointers to a dataset of 173 amino acid alignments of orthologs found in chromosome 5 of four strains of S. cerevisiae. Original sequence data (https://zenodo.org/record/6610704) was processed in Galaxy following GTN 'Preparing genomic data for phylogeny reconstruction' training (10.48546/workflowhub.workflow.359.1) to generate alignments of orthologs.</p>
Рис. 1. Карта-схема заказника «УΑыΛь» с указанием станций отбора проб зообентоса (с сайта ФГБУ «ЗаповеΑное Приамурье». URL: http://www.zapovedamur.ru/zakaznik_udyl) Fig. 1. Map-scheme of the Udyl Nature Reserve with indication of zoobenthos sampling stations (from website of the Federal State Budgetary Institution "Zapovednoe Priamurye. Available at: http://www.zapovedamur.ru/zakaznik_udyl) in Quantitative zoobenthos characteristics of the Udyl Lake basin (Udyl Nature Reserve, Khabarovsky Region)
Рис. 1. Карта-схема заказника «УΑыΛь» с указанием станций отбора проб зообентоса (с сайта ФГБУ «ЗаповеΑное Приамурье». URL: http://www.zapovedamur.ru/zakaznik_udyl) Fig. 1. Map-scheme of the Udyl Nature Reserve with indication of zoobenthos sampling stations (from website of the Federal State Budgetary Institution "Zapovednoe Priamurye. Available at: http://www.zapovedamur.ru/zakaznik_udyl)
Preliminary displacement analyses over Surfside Florida KMZ file pointing to REST URL
<p><em><strong>Preliminary displacement analyses over Surfside Florida. KMZ file pointing to REST URL. The file can be opened in Google Earth Pro and will allow overlaying displacement results with Google's temporal optical imagery catalog. Contains modified Copernicus Sentinel-1 data. Persistent Scatterers Interferometry (PSI) was performed using SARscape v5.6.</strong></em></p>
NLBSE22 urls of issues with single label
<p>NLBSE22 urls, removed the ones with multiple label on github / removed also the one which were deleted from github (unable to retrieve the labels)</p>
URLs with query strings for software in UK Academic Institutional Repositories.
<p>A set of exact URLs containing the query strings to search for software within UK Academic IRs.</p>
Url of the Fire-induced Carbon Emissions Dataset in Africa 2014-2021. (1.0) [Data set].
<p>Estimated carbon emission data from biomass burning in Africa from 2014 to 2021, based on the GABAM 30m burning area product. This product uses the WGS84 horizontal datum and the 0.00025° (approximately 30 meter) resolution for geographic (latitude/longitude) projection of the EGM96 vertical datum, consisting of 10° x 10° blocks covering the entire African region.</p>
GAW URLs and time stamps 2013-12
<p>The dataset comprises the URLs and corresponding time stamps of the GAW snapshot harvested in 2013-12. </p> <p>Download the files into a new directory and reassemble the files by running from inside the dir:</p> <p><em>zip -F 2013-12_part.zip --out 2013-12.zip</em></p> <p>Now decompress the the file by running:</p> <p><em>unzip 2013-12.zip</em></p> <p>The directory <em>2013-12</em> contains 100 files, a total of 16 GB. Each file contains two columns delimited by a tab. The time stamps are given in the format of the java equivalent yyyyMMddHHmmss and are parsed as:</p> <pre>DateTime.parse(timeStamp, DateTimeFormat.forPattern("yyyyMMddHHmmss")).getMillis</pre> <p> </p>
Appendix. The status of global taxonomic checklist preparation for flowering plant families (based on Angiosperm Phylogeny Group II but modified to reflect circumscriptions of existing checklists). If a checklist is complete and available on the Internet then the URL is also given. The species numbers (sp. no.) given are either based on actual working lists (WL) where they exist or are based on Stevens (2006) if no WL is available. Five categories are used to describe the status of a particular working list: 1, checklist complete and accessible via the Internet now; 2, checklist available on Internet by end of 2007 (Asteraceae 2010); 3, checklist complete but not online; 4, some online lists giving partial coverage may be available; 5, no global checklist being compiled so far as known. in Towards Target 1 of the Global Strategy for Plant Conservation: A working list of all known plant species - Progress and prospects
Appendix. The status of global taxonomic checklist preparation for flowering plant families (based on Angiosperm Phylogeny Group II but modified to reflect circumscriptions of existing checklists). If a checklist is complete and available on the Internet then the URL is also given. The species numbers (sp. no.) given are either based on actual working lists (WL) where they exist or are based on Stevens (2006) if no WL is available. Five categories are used to describe the status of a particular working list: 1, checklist complete and accessible via the Internet now; 2, checklist available on Internet by end of 2007 (Asteraceae 2010); 3, checklist complete but not online; 4, some online lists giving partial coverage may be available; 5, no global checklist being compiled so far as known.
Dataset for "Emerging tremors and increasing seismic noise precede micro-earthquakes triggered in a fluid-activated shale fault slip experiment (2015, Mt Terri URL, Switzerland)"
<p>This dataset contains the raw data of the injection experiment, performed in the Mt Terri Underground Platform in 2015 and used in the article:</p> <p><strong>De Barros, L., </strong>Guglielmi, Y., F. Cappa, C. Nussbaum, J. Birkholzer, 2023. Induced microseismicity and tremor signatures illuminate different slip behaviors in a natural shale fault reactivated by a fluid pressure stimulation (Mont Terri), <em>Geophysical Journal International</em>, 10.1093/gji/ggad231<br> <br> From a horizontal gallery, three vertical boreholes allowed the deployment of an injection probe (called SIMFIP; Guglielmi et al., 2014) and the monitoring sensors in the upper compartment of a N50°-60°SE fault zone. The 2.4 m long injection chamber of the SIMFIP probe was centered at 340.6 m depth, where a 3D displacement sensor was anchored on the borehole walls. A second SIMFIP probe is located 3.1 m northwest of the injection at a depth of 337.65 m, with another deformation sensor. Both deformation sensors measured the full strain tensor thanks to a Bragg optic fiber network, jointly with a fluid pressure sensor. A third borehole, located 2 m north of the monitoring probe, was dedicated to seismic monitoring. Two sets of collocated sensors, composed of a vertical geophone, a 3C accelerometer and an acoustic sensor, were positioned 9 m apart, above and below the main fault zone. These seismic sensors have a flat response in the ranges 0.01-0.5 kHz, 0.01-4 kHz and 0.5-10 kHz, respectively. Finally, the flowrate and pressure were also measured at the injection pump, located in the gallery.<br> For more details on the injection, we refer the reader to:<br> • Jeanne, P., Guglielmi, Y., Rutqvist, J., Nussbaum, C., Birkholzer, J., 2018. Permeability Variations Associated With Fault Reactivation in a Claystone Formation Investigated by Field Experiments and Numerical Simulations. J. Geophys. Res. Solid Earth 123, 1694–1710. https://doi.org/10.1002/2017JB015149<br> • Guglielmi, Y., Nussbaum, C., Cappa, F., De Barros, L., Rutqvist, J., Birkholzer, J., 2021. Field-scale fault reactivation experiments by fluid injection highlight aseismic leakage in caprock analogs: Implications for CO2 sequestration. Int. J. Greenh. Gas Control 111, 103471. https://doi.org/10.1016/j.ijggc.2021.103471<br> • Guglielmi, Y., Nussbaum, C., Jeanne, P., Rutqvist, J., Cappa, F., Birkholzer, J., 2020. Complexity of Fault Rupture and Fluid Leakage in Shale: Insights From a Controlled Fault Activation Experiment. J.Geophys. Res. Solid Earth 125, e2019JB017781. https://doi.org/10.1029/2019JB017781<br> • Guglielmi, Y., Cappa, F., Lançon, H., Janowczyk, J.B., Rutqvist, J., Tsang, C.F., Wang, J.S.Y., 2014. ISRM Suggested Method for Step-Rate Injection Method for Fracture In-Situ Properties (SIMFIP): Using a 3-Components Borehole Deformation Sensor. Rock Mech. Rock Eng. 47, 303–311. https://doi.org/10.1007/s00603-013-0517-1</p>
GAW URLs and time stamps 2018-12
<p>The dataset comprises the URLs and corresponding time stamps of the GAW snapshot harvested in 2018-12. </p> <p>The compressed directory <em>2018-12.zip</em> contains 100 files. Each file contains two columns delimited by a tab. The time stamps are given in the format of the java equivalent yyyyMMddHHmmss and are parsed as:</p> <pre>DateTime.parse(timeStamp, DateTimeFormat.forPattern("yyyyMMddHHmmss")).getMillis</pre>
GAW URLs and time stamps 2019-06
<p>The dataset comprises the URLs and corresponding time stamps of the GAW snapshot harvested in 2019-06. </p> <p>The compressed directory <em>2019-06.zip</em> contains 100 files. Each file contains two columns delimited by a tab. The time stamps are given in the format of the java equivalent yyyyMMddHHmmss and are parsed as:</p> <pre>DateTime.parse(timeStamp, DateTimeFormat.forPattern("yyyyMMddHHmmss")).getMillis</pre>
GAW URLs and time stamps 2018-06
<p>The dataset comprises the URLs and corresponding time stamps of the GAW snapshot harvested in 2018-06. </p> <p>The compressed directory <em>2018-06.zip</em> contains 100 files. Each file contains two columns delimited by a tab. The time stamps are given in the format of the java equivalent yyyyMMddHHmmss and are parsed as:</p> <pre>DateTime.parse(timeStamp, DateTimeFormat.forPattern("yyyyMMddHHmmss")).getMillis</pre>
GAW URLs and time stamps 2019-12
<p>The dataset comprises the URLs and corresponding time stamps of the GAW snapshot harvested in 2019-12. </p> <p>The compressed directory <em>2019-12.zip</em> contains 100 files. Each file contains two columns delimited by a tab. The time stamps are given in the format of the java equivalent yyyyMMddHHmmss and are parsed as:</p> <pre>DateTime.parse(timeStamp, DateTimeFormat.forPattern("yyyyMMddHHmmss")).getMillis</pre>
GAW URLs and time stamps 2014-12
<p>The dataset comprises the URLs and corresponding time stamps of the GAW snapshot harvested in 2014-12. </p> <p>The compressed directory <em>2014-12.zip</em> contains 100 files. Each file contains two columns delimited by a tab. The time stamps are given in the format of the java equivalent yyyyMMddHHmmss and are parsed as:</p> <pre>DateTime.parse(timeStamp, DateTimeFormat.forPattern("yyyyMMddHHmmss")).getMillis</pre>
ScienceDex guides
Understand access before you commit
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