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386 results for “War”
Russo-Ukrainian War: Prediction and explanation of Twitter suspension
<p>The dataset utilized in the research paper: "Russo-Ukrainian War: Prediction and explanation of Twitter suspension" accepted to ASONAM 2023 conference. The provided dataset contains multiple extracted feature categories based on the Twitter dataset collected during the Russo Ukrainian War. The dataset dose not contain any private user information since user and tweet IDs are removed.</p>
Public opinion poll "War, Peace, Victory and the Future" – National face-to-face opinion poll representative of the population in government-controlled territories of Ukraine on the war-related issues (June 2023)
The face-to-face survey was conducted by the Ilko Kucheriv Democratic Initiatives Foundation in cooperation with the Centre for Political Sociology from 5 to 15 June 2023. A total of 2,001 respondents aged 18 or older took part in the survey in Vinnytsia, Volyn, Dnipropetrovsk, Zhytomyr, Zakarpattia, Zaporizhzhia, Ivano-Frankivsk, Kyiv, Kirovohrad, Lviv, Mykolaiiv, Odesa, Poltava, Rivne, Sumy, Ternopil, Kharkiv, Kherson, Khmelnytskyi, Cherkasy, Chernihiv, and Chernivtsi regions, and the city of Kyiv (in Zaporizhzhia, Kharkiv, and Kherson regions – only in the territories controlled by Ukraine and not affected by hostilities). The sampling technique used in the survey is multi-stage, with a random selection of localities in the first stage and a quota-based selection of respondents in the final stage. The random selection is representative of the demographic structure of the adult population in the areas covered by the survey at the beginning of 2022. The maximum sampling error shall not exceed 2.3%. At the same time, it is necessary to take into account systematic deviations in the sample caused by the forced migration of millions of citizens due to the Russian-Ukrainian war. COMPOSITION OF MACRO-REGIONS: West – Volyn, Zakarpattia, Ivano-Frankivsk, Lviv, Rivne, Ternopil, and Chernivtsi regions; Center – Vinnytsia, Zhytomyr, Kyiv, Kirovohrad, Poltava, Sumy, Khmelnytskyi, Cherkasy, and Chernihiv regions, and the city of Kyiv; South – Zaporizhzhia, Mykolaiiv, Kherson, and Odesa regions; East – Dnipropetrovsk and Kharkiv regions. This dataset contains the original survey data. The SPSS file (.sav) is the original file. It has been exported to an Excel file. The content of the corresponding XLSX file should be identical to the original SAV file. The SAV file contains the questions and answer options of the original questionnaire in Ukrainian. The original questionnaire and an English translation have also been included in this data collection as separate PDF files. In addition, the dataset includes a file of "selected findings", which documents some of the key findings of the survey in the form of analytical summaries and descriptive statistics. The report was prepared by the civil society organisation OPORA.
Challenges to freedom of speech and journalists in Ukraine in times of war – Non-representative online expert survey of Ukrainian journalists (January 2023)
The expert survey of journalists was conducted from 18 to 27 January 2023 using a self-completion questionnaire in Google Forms. The survey was conducted by the Ilko Kucheriv Democratic Initiatives Foundation on the request of the Human Rights Centre ZMINA with the support of Freedom House Ukraine. A total of 132 people participated in the survey. The respondents were selected using the method of voluntary selection and snowballing to the point of saturation. The sample represents only the opinion of the respondents, but it also allows us to talk about certain trends and common assessments of certain phenomena and processes in the journalistic field. The survey includes questions about freedom of speech and self-censorship in the media environment during the Russian-Ukrainian war. The data collection contains original survey data. The Excel file (.xlsx) is the original file with the respondents' answers in Ukrainian, provided by the Ilko Kucheriv Democratic Initiatives Foundation. The documentation includes the questions and answer options of the original questionnaire in Ukrainian and English. Additionally, the data collection contains the "Summary" file, which is an analytical report prepared by the Ilko Kucheriv Democratic Initiatives Foundation and the Human Rights Centre ZMINA. The report uses data from an expert survey of journalists in 2019 and 2023, and the results of focus groups in 2022.
The impact of Syrian Civil War on cultivated cropland dynamics
<p>The data needed to replicate paper --'The impact of Syrian Civil War on cultivated cropland dynamics' </p>
Russo-Ukrainian War: Prediction and explanation of Twitter suspension
<p>Dataset used in research paper : "Russo-Ukrainian War: Prediction and explanation of Twitter<br> suspension". Contain extracted features for Twitter users, correlated to discussion of Russo-Ukrainian war. Contain multiple feature categories. Source code of dataset usage in Machine Learning approach is available at GitHub: https://github.com/alexdrk14/TwitterSuspension .</p>
Star Wars social network
<p><strong>Star Wars social network</strong></p> <p>This dataset contains the social network of Star Wars characters extracted from movie scripts. In short, two characters are connected if they speak together within the same scene. The data contain characters and links from episodes I to VII.</p> <p>How the data were created is described in my blog posts:</p> <ul> <li><a href="http://evelinag.com/blog/2015/12-15-star-wars-social-network/index.html">The Star Wars social network</a></li> <li><a href="http://evelinag.com/blog/2016/01-25-social-network-force-awakens/index.html">Star Wars social network: Force Awakens</a></li> </ul> <p>The associated code is available in the main Github repository <a href="https://github.com/evelinag/StarWars-social-network">evelinag/StarWars-social-network</a>.</p> <p>Contents of the files are the following:</p> <ul> <li> <p><code>starwars-episode-N-interactions.json</code> contains the social network extracted from Episode N, where the links between characters are defined by the times the characters speak within the same scene.</p> </li> <li> <p><code>starwars-episode-N-mentions.json</code> contains the social network extracted from Episode N, where the links between characters are defined by the times the characters are mentioned within the same scene.</p> </li> <li> <p><code>starwars-episode-N-interactions-allCharacters.json</code> is the <code>interactions</code> network with R2-D2 and Chewbacca added in using data from <code>mentions</code> network.</p> </li> <li> <p><code>starwars-full-...</code> contain the corresponding social networks for the whole set of 6 episodes.</p> </li> </ul> <p><strong>Description of networks</strong></p> <p>The json files representing the networks contain the following information:</p> <p><strong>Nodes</strong></p> <p>The nodes contain the following fields:</p> <ul> <li>name: Name of the character</li> <li>value: Number of scenes the character appeared in</li> <li>colour: Colour in the visualization</li> </ul> <p><strong>Links</strong></p> <p>Links represent connections between characters. The link information corresponds to:</p> <ul> <li>source: zero-based index of the character that is one end of the link, the order of nodes is the order in which they are listed in the “nodes” element</li> <li>target: zero-based index of the character that is the the other end of the link.</li> <li>value: Number of scenes where the “source character” and “target character” of the link appeared together. Please not that the network is <em>undirected</em>. Which character represents the source and the target is arbitrary, they correspond only to two ends of the link.</li> </ul>
FA-KES: A Fake News Dataset around the Syrian War
<p>We have produced a labeled dataset that presents fake news surrounding the conflict in Syria. The dataset consists of a set of articles/news labeled by 0 (fake) or 1 (credible). Credibility of articles are computed with respect to a ground truth information obtained from the Syrian Violations Documentation Center (VDC). In particular, for each article, we crowdsource the information extraction (e.g., date, location, Number of casualties) job using the crowdsourcing platform Figure Eight (formally CrowdFlower). Then, we match those articles against the VDC database to be able to deduce whether an article is fake or not. The dataset can be used to train machine learning models to detect fake news. </p> <p> </p> <p> </p> <p> </p>
Wikipedia: wikipedia-war (Waray-Waray)
Wikipedia is a multilingual, web-based, free-content encyclopedia project supported by the Wikimedia Foundation and based on a model of openly editable content. EOL harvests articles from wikipedia that are indexed as species or higher taxa.<p></p><p></p>https://war.wikipedia.org
Photographic record of land degradation and resilience in Dogu'a Tembien after the shock of the Tigray war (northern Ethiopia)
<p><span>Following two years of combat, blockade, and power outage, the Tigray war in northern Ethiopia has had a substantial negative impact on the environment (2020–2022). This photographic dataset, part of a rare study carried out by the same research team before and after a war, compares 26-year legacy data on land degradation, with post-war observations at 56 sites in the Dogu'a Tembien district of Tigray (13°39'N, 39°30'E), at elevations ranging from 1600 to 2800 meters.</span></p> <p><span>With 30 years of environmental research experience in Tigray, we remained as a lone research team after the start of the war and collected ground data at previous research sites during the war. This culminated in international partners returning to the Dogu'a Tembien district in 2023 after they had been absent for four years due to coronavirus restrictions and the Tigray War. We visited 56 previously investigated sites—which have been documented in 45 prior publications—through transect walks, where we mostly made qualitative observations and discussions regarding the processes of land degradation and recovery. This included degradation processes like sheet and rill erosion</span><span>, gully erosion</span><span>, landslides</span><span></span><span>, deforestation</span><span>, as well as the most common rehabilitation approaches, i.e. stone bunds</span><span>, check dams</span><span>, exclosures</span><span>, improved hydrological cycle</span><span>, and integrated catchment management</span><span>. Local farmers and other village residents, along with experts who either reside in or have a good understanding of the research area, participated in the group observations.</span></p>
The long-term impact of church activity on social capital: lessons from post-war Czechoslovakia
<p>This is a basic set of variables used in the paper "The long-term impact of church activity on social capital: lessons from post-war Czechoslovakia", co-authored by Štěpán Mikula (Masaryk Unversity, IZA), Fabio Sabatini (Sapienza University of Rome, IZA), and Tommaso Reggiani (Cardiff University, Masaryk Unversity, IZA). The first draft of the paper is available as a MUNI ECON working paper (<a href="https://doi.org/10.5817/WP_MUNI_ECON_2023-03" target="_blank" rel="noopener">DOI 10.5817/WP_MUNI_ECON_2023-03</a>), which also includes a detailed data description.</p> <p>The current dataset is restricted to variables that are available from open sources. We are not allowed to share the complete set of variables publically.</p> <p>The table contains the following variables:</p> <ul> <li>KOD_OBEC...Municipality ID defined by <a href="https://apl2.czso.cz/iSMS/cisdet.jsp?kodcis=43">CISOB codebook</a>.</li> <li>dieceze...Diocese name (as defined in pre-1989 period)</li> <li>year</li> <li>church...Indicator variable for the presence of a church building in the municipality in 1945</li> <li>ngo_all...Density of NGOs</li> <li>ngo_other...Density of church-unrelated NGOs</li> <li>ngo_church...Density church-related NGOs</li> <li>priest_years...priests' tenure (years)</li> <li>ger_share...Share of ethnic Germans in 1930 (<a href="https://doi.org/10.1016/j.jue.2021.103385">Guzi et al. 2021</a>)</li> <li>population1950...Population in 1950 (<a href="https://csu.gov.cz/produkty/historicky-lexikon-obci-1869-az-2015">Historický atlas</a>)</li> <li>TRI_mean...Terrain Roughness Index</li> <li>CZdist...Distance to the country border</li> </ul>
Post-War Pathways of Foreign Fighters from the Croatian War (1991--1995) Dataset
<p>This dataset is a part of project 798392 - MPP funded by Marie-Sklodowska Curie Actions Individual Fellowship, a scholarly grant awarded by the European Commission to Dr Milos Popovic as the principal investigator(PI). In total, the dataset includes information on 25 individuals who fought in the Croatian war (1991–1995)as foreign volunteers based on in-person interviews conducted between August 2020 and August 2021 in Croatia and online. It is by no means the universe of cases or a representative sample. The overarching aim of this research is to collect war memories for scientific and archival purposes. All the interviews were set up and carried out by Tomislav Šulj a historian at the Croatian Homeland War Memorial Documentation Centre (https://centardomovinskograta.hr/). The interviewer adhered to a code of conduct approved by Leiden University and the European Commission. First, any participation in the interview was completely voluntary and the participants had the right to refuse participation or any question at any stage or withdraw at any time without any consequence whatsoever while preserving their anonymity. Second, potential interviewees were given a detailed study guidebook beforehand, including the description, aim and anonymity/confidentiality clauses. Third, the interviewees were asked to sign their consent to the use of interview data for scientific purposes, including the production of this dataset. Interviewees were also informed that their anonymity would be broken only under extraordinary circumstances when there is a serious risk of harm or danger to either the interviewer, interviewee or another individual (e.g. physical, emotional or sexual abuse, concerns for child protection, rape, self-harm, suicidal intent or criminal activity) or if a crime was committed. All the conversations were audio-recorded upon the interviewee’s explicit consent. Every signed consent form was scanned and placed together with Dr Popovic’s original audio recording of the interview. There are two copies of the interview notes and audio recordings. One copy is stored in an encrypted folder on Dr Popovic’s personal and office computer at the Institute of Security and Global Affairs in the Hague until after Dr Popovic’s project has ended on September 1, 2021. The second copy is stored and archived at the CroatianHomeland War Memorial Documentation Centre and, following the authorization of the interview transcript, used for research on the Croatian Homeland War. Under the provisions of the General Data Protection Regulation (EU) 2016/679 (GDPR), every interviewee is entitled to access the information they have provided at any time. </p>
Post-War Pathways of Foreign Fighters from the Bosnian War (1992--1995)
<p>This dataset is a part of project 798392 - MPP funded by Marie-Sklodowska Curie Actions Individual Fellowship, a scholarly grant awarded by the European Commission to Dr. Milos Popovic as the principal investigator (PI). In total, the dataset includes information on 95 individuals who fought in the Bosnian war (1991--1995) as foreign volunteers based on available online resources. It is by no means the universe of cases or a representative sample. The overarching aim of this research is to collect war memories for scientific and archival purposes. </p> <p>\noindent The dataset is the first to date to include information on the Greek and Russian foreign fighters who fought on the side of the Army of the Serb Republic of Bosnia-Herzegovina. The dataset does not feature information on the former mujahideen fighters because there is little information on the individual fighters. The key resource used to gather information on the Greek volunteers is the massive investigative work of the XYZ contagion investigative work, which can be found at https://xyzcontagion.wordpress.com/2015/06/17/maria-lefteris-ethnos-tagmata-matosan-srebrenica/. Information on Russian foreign fighters comes mostly from two books published by former foreign fighters Mikhail Polikarpov and Oleg Valetskiy:</p> <p>Валецкий, О. В. (1993). Волки белые. <em>Сербский дневник русского добровольца (1993--1999</em>), Грифон М;<br> Поликарпов, М. А. (2007). <em>Сербский закат</em>. Москва: Эксмо.</p> <p>For data triangulation purposes, I also used a few online sources from Serbian forums as well as Soldier of Fortune issues (in Russian) for the period 1992-1995. In addition, Aziz Tafro's book <em>Russian and Greek Henchmen in the war in Bosnia-Herzegovina</em> provided useful information on the deceased Russian volunteers. Finally, I relied on numerous articles by former foreign fighters as well as interviews that they gave to various news portals.</p>
ISS images of Kiev during and before the Ucrania war
<p>Calibrated RGB images of Kiev at Night taken from the International Space Station.</p> <p>Early access upon request (alejasan@ucm.es)</p> <p>Data source of this app: https://pmisson.users.earthengine.app/view/kiev</p> <p> </p> <p>The data will be disembarked, as soon as the first article is sudmited or a year. What happens first.</p>
Treatment of American National Archives Records of World War II Prisoners of War (0326).
<p>NARA PoW Data W.D. A.G.O. FORM NO. 0326.</p> <p>This deposit contains a dataset relating to persons interned between December 7, 1941 and November 19, 1946, which has been enhanced to make it more accessible to scientists. It is based on information from the U.S. National Archives and Records Administration (NARA), which is unrestricted and available at <a href="https://aad.archives.gov/aad/series-description.jsp?s=644&popup=Y">https://aad.archives.gov/aad/series-description.jsp?s=644&popup=Y</a>, and informs this summary. The NARA 'series' is part of <em>Record Group 389: Records of the Office of the Provost Marshal General</em>. It identifies 79 'places of capture' globally "Using copies of reports from the International Committee of the Red Cross ...". The Scope & Content Note states:</p> <p><em>"This series has information about U.S. military officers and soldiers and U.S. and some Allied civilians who were prisoners of war and internees. The record for each prisoner provides serial number, personal name, branch of service or civilian status, grade, date reported, race, state of residence, type of organization, parent unit number and type, place of capture (theater of war), source of report, status, detaining power, and prisoner of war or civilian internee camp site. Records of prisoners of the Japanese who died also document whether the prisoner was on a Japanese ship that sank or if he or she died during transport from the Philippine Islands to Japan. There are no records for some prisoners of war whose names appear in the lists or cables transmitted to the Office of the Provost Marshal General by the International Committee of the Red Cross."</em></p> <p>The U.S. War Department used punched cards to manage this information, although "The punch card records were transferred to NARA with virtually no agency documentation." According to the Custodial History Note:</p> <p><em>"The U.S. Army transferred punch card records of World War II prisoners of war (POWs) to NARA as a unique series in its 1959 transfer of all of the U.S. Army's Departmental Archives. In 1978 the Veterans Administration borrowed most of the punch card records of repatriated U.S. military personnel for a study of Repatriated U.S. Military Prisoners of War, migrated the data on almost all of the borrowed cards to an electronic format and returned the punch cards and two electronic records data files to NARA. In 1995 NARA migrated the data from almost all of the remaining punch card records to an electronic format and has subsequently preserved all of the records in a single data file."</em></p> <p>It is evident that the organization of this data file assumes access to other information, also accessible in CSV files in the series, in order to interpret detailed information, such as branch of service, grade, parent unit number and detaining power. For example, records appear in the following format:</p> <pre><code class="language-bash">O&745255ABDALLAH EDWARD A 2 LT G1AC 200803413223003620O7222094171035 32214872ABDALLAH JOSEPH T CPL 61INF10230241231100157069802075181087 36336867ABDAY JOSEPH C PVT 81INF10170231611100168069516075181004 </code></pre> <p>constituting a serial number, then a name, then a textual code for rank; followed by a string, (starting G1AC on the first line) which encodes the remaining information. For example, the first digit (G) can be looked up in cl_1279.csv to decode ‘2nd lieutenant’, corroborating in this case the appearance of '2 LT. 'AC' indicates 'armofservicecode: AIR CORPS', but less obviously, 'detainingpower: Germany'; 'race: White' and 'theater: European Theater: Germany'. This single line is the entirety of the information provided per person instance by the NARA series. Users of this potentially valuable resource must develop automation in order to be able to search and employ it effectively; no such tools or specification from which software might be developed immediately is provided.</p> <p>Significantly, this task is hampered by evidence of corruption of the some of the information, which may be due solely to the digitization process mentioned above being applied to the paper records, but possibly with subsequent contribution of fixity effects. NARA documentation does not refer to data integrity issues and, especially since the dataset which NARA provides is large, it may only be during development of automation to employ the series that such issues are discovered. Examples of problems include substitution of characters, such as 'O' replacing '0' and vice-versa; '}' replacing '3' and '&' replacing '8', or less obviously 'L' mis-recognized as '-' and 'II' replacing 'H'.</p> <pre><code class="language-bash">12138003 AREY GERALD J S SG 41AC 2002064123S55}340069802055181033</code></pre> <p>Ideally, access to high resolution scans of the paper documents could be used to address these issues, or external documents. However, checking for completeness of each of the components of a person record enables detection of compromised entries and, where character substitution affects decoding of key information, other contextual information is often available to validate decoding such strings with these characters re-substituted. The larger percentage of strings which already decode plausibly without intervention do not contain incidences of such characters (so there is strong evidence that they are invalid in particular positions.</p> <p>Unfortunately, there is a proportion of digital records with more severe corruption which cannot be addressed without access to scanned imagery of the paper records, for example:</p> <pre><code class="language-bash">O&557875ANDREW THOMAS A 2 LT G1AC 2011094115 70140 6881276AFTEWICZ EDWARD L PVT 81INF10150231321100135069508065181004 6 APLIN -OR-& - 3 1INF102 1 1 0 1 1</code></pre> <p>As of the initial date of this deposit is anticipated that such access will be possible to support further work on this series.</p> <p>The dataset in this deposit does not contain records for which decoding is compromised to the extent that information to populate a basic person schema is incomplete. However, although 36,791 of the 143,374 person records in the NARA series were found to be compromised in some way, 19,624 of those have been substantially decoded and/or repaired and further work is being undertaken to both improve decoding of the 126,207 available here and to retrieve others among the 17,167 which are currently inaccessible.</p> <p>This dataset has been enhanced to present the original NARA 'single data file' as a JSON resource which is more accessible for search and analysis, since each record is document-oriented (containing labels and values for each field, together with provenance information) for example:</p> <pre><code class="language-json">{ "$schema": "https://schemata.hasdai.org/historic-persons/historic-person-entry-v0.0.2.json", "location": [ { "association": "military service", "transcription": "European Theater: Germany" }, { "association": "interred", "transcription": "Stalag 2D Stargard Pomerania, Prussia 53-15" } ], "name": { "familyname": "AARON", "givenname": "JACK", "rank": "SGT", "transcription": "AARON JACK" }, "set": { "id": "https://persons.freizo.org/export/pow/1.0.0", "partof": "10.5281/zenodo.3565392", "title": "WDAGO-0326" }, "source": { "type": "data file" } },</code></pre> <p>The schema employed here serves a specific purpose, in addition to on-going work identifying and correcting errors in the NARA data: it supports work to discover other instances of persons appearing in this NARA series 0326, which also appear in external documentation. For example, in a separate collaborative project with Europa Institute at the University of Basel, a benchmark dataset has been produced based on listings of foreign residents in the Asian Directories and Chronicles, which forms a deposit at <a href="https://doi.org/10.5281/zenodo.2580997">10.5281/zenodo.2580997</a> and employs a compatible schema for the purpose of efficient comparison with this and other datasets. Other schemata could be employed for different purposes—leading to alternate datasets, all derived from series 0326. The full extent of information currently decoded from NARA series 0326 is presented at <a href="https://pow.freizo.org/">https://pow.freizo.org/</a> which provides search facilities by person name, plus interactive filters for person rank, service and theater of conflict.</p>
ERC Locus Ludi. Play and Games in Antiquity. Play, Dance, Sport, War
<p>Mark Golden, Winnipeg, a widely known specialist of ancient childhood and sport. His talk: Play, Dance, Sport, War: Ancient Greek Bodies in Motion, was given at the International Conference, Play and Games in Antiquity. Definition, Transmission, Reception, September 17-19, 2018, Swiss Museum of Games.</p> <p>Movie/Music: <a href="https://www.edwanmusic.com/">https://www.edwanmusic.com/</a></p> <p>More about: www.locusludi.ch</p>
The Orpheus of Delhi: The Maestro Khushhal Khan and the Mughal War of Succession, 1657-8
<p>The images that accompany this podcast may be found here: <a href="https://gate.sc?url=https%3A%2F%2Fblogs.bl.uk%2Fasian-and-african%2F2018%2F03%2Fcanonical-hindustani-music-treatises-of-aurangzeb-alamgirs-reign.html&token=2ba707-1-1609325170470">blogs.bl.uk/asian-and-african/2…alamgirs-reign.html</a> .</p> <p>What was the connection between the power of Indian music and the Mughal emperor’s sovereign power? And why is there a picture of Orpheus above the Mughal throne in Delhi?</p> <p>Perhaps the most famous anecdote of the reign of emperor Aurangzeb (r.1658–1707) concerns his “burial of music”, a parodic funeral procession put on by devastated court musicians in protest at the Emperor having banned music in 1668. In legend, the leader of this procession was Khushhal Khan “Gunasamudra” (fl. 1630s–70s), one of the most feted court musicians of his time. Great-grand-son of the most famous Mughal musician of them all, Tansen, and chief musician to the emperor Shah Jahan (r. 1627–58), he was written about extensively in his lifetime as a virtuoso singer of exceptional merit and serious character.</p> <p>Yet this was not how he was memorialised a hundred years later in 1753, when nobleman Inayat Khan “Rasikh” put the legends of the great Mughal musicians of the past into a biographical collection for the first time. Rather, Khushhal was remembered as the protagonist in a shocking scandal that supernaturally sealed Shah Jahan’s fate:— to be overthrown by his son Aurangzeb in the Mughal War of Succession, 1657–8. In this podcast I retell this story from Khushhal Khan’s life from the vantage point of the 1750s looking back over the canonical Mughal writings on music of Shah Jahan’s and Aurangzeb’s reigns. And I reveal what all this tells us about the power and importance of music at the Mughal court, before everything began to unravel.</p> <p>1. Panipat, 1753 – 0:00<br> 2. The War of Succession, 1657-8 – 7:20<br> 3. Khushhal Khan’s Story – 12:30<br> 4. The Powers of Music – 26:02<br> 5. Panipat, 1753 – 35:34</p> <p>This podcast is part of the project Histories of the Ephemeral: Writing on Music in Late Mughal India, sponsored by the British Academy in association with the British Library; additional research was funded by the European Research Council.</p> <p>The Orpheus of Delhi was written by me, Katherine Butler Schofield (King's College London), and is based on my original research. It was produced by Chris Elcombe <a href="https://gate.sc?url=http%3A%2F%2Fwww.linkedin.com%2Fin%2Fchris-elcombe-523a60116%2F&token=6f5c9c-1-1609325170470">www.linkedin.com/in/chris-elcombe-523a60116/</a> and is published under a Creative Commons Attribution Non-Commercial No Derivatives (CC–BY-NC–ND)license.</p> <p>The recordings of Rag Bilaskhani Todi — the main form of Rag Todi in the time of Khushhal Khan, and legendarily created by his grandfather Bilas Khan — are courtesy of:</p> <p>Rakae Jamil on surbahar: <a href="https://soundcloud.com/sanjannagar/surbahar-rakae-edited">Sanjannagar – Surbahar-rakae-edited</a> . By permission.</p> <p>M V N Murthy on veena, Veena-Murthy-19-4-2011 recorded by xserra. Licensed under a Creative Commons Attribution Licence CC BY 4.0: <a href="https://gate.sc?url=https%3A%2F%2Ffreesound.org%2Fpeople%2Fxserra%2Fsounds%2F125655%2F&token=c8e001-1-1609325170470">freesound.org/people/xserra/sounds/125655/</a></p> <p>Pamulka Karunanayake on esraj:<br> <a href="https://soundcloud.com/pamalka-karunanayake/raga-bilaskhani-todi-madhya-laya">Pamalka-karunanayake – Raga-bilaskhani-todi-madhya-laya</a> . By permission.</p> <p>Lothar Berger, Soumyojit Das & Sourendro Mullick, “Nachtgesang/Bilaskhani Todi”: <a href="https://soundcloud.com/lothar-berger-music/nachtgesang-bilaskhani-todi">Lothar-berger-music – Nachtgesang-bilaskhani-todi</a> . By permission.</p> <p>Professor Ritwik Sanyal, dhrupad composition by Bilas Khan himself, recorded in Benares by Hans Wettstein in 1995: <a href="https://gate.sc?url=https%3A%2F%2Fyoutu.be%2F5l9hxmD5ul8&token=91faaa-1-1609325170470">youtu.be/5l9hxmD5ul8</a> . By permission.</p> <p>With thanks to: the British Academy, the European Research Council, the British Library, Yale University Art Gallery, Ebba Koch, William Dalrymple and Bruce Wannell. For more episodes and information email <a href="mailto:katherine.schofield@kcl.ac.uk">katherine.schofield@kcl.ac.uk</a>.</p>
Tigray War: photographic dataset recorded in the aftermath of the December 2020 battles and drone attacks in Werkamba
<p>The Tigray war (Ethiopia) lasted from 4 November 2020 to 2 November 2022, when a Cessation of Hostilities Agreement (CoHA) came into existence. One year later, the CoHA is not fully implemented, there are enormous food shortages in Werkamba, but at least there is no more active warfare.</p><p>We can now publish a series of photographs taken at Werkamba (13°44'N, 39°E) and its environs, as soon as the Ethiopian and Eritrean armies had left the town, to engage warfare with the TDF (Tigray Defence Forces) in other fronts. For some weeks there were no military in Werkamba, and the residents who had fled found their town back in ruins, including killed civilians lying on the street.</p><p>Hence we have to warn the reader that some shocking imagery is ahead in this dataset that contains evidence of the horror of warfare.</p>
Ethical Issues of Digital Knowledge in War
<p>Talk at the <a href="https://www.digital-philosophy.org/" target="_blank" rel="noopener">Philosophy [in:of:for:and] Digital Knowledge Infrastructures</a> online workshop 2023 (28/09/2023).</p>
Propaganda and fake news on the war in Ukraine: data from Russian-speaking social media communities
<p>The data set contains posts from social media networks popular among Russian-speaking communities. Information was searched based on pre-defined keywords ("war", "special military operation", etc.) and is mainly related to the ongoing war in Ukraine with Russia. After a thorough review and analysis of the data, both propaganda and fake news were identified. The collected data is anonymized. Feature engineering and text preprocessing can be applied to obtain new insights and knowledge from this data set. The data set is useful for the study of information wars and propaganda identification.</p>
Figure 5 in Fishes of War in the Pacific National Historic Park
Figure 5. Map depicting locations of belt transect surveys and the resultant fish diversity (number of fish species encountered per transect) at the Agat Bay unit of WAPA. Diversity at this unit ranged from 18-43 fish species/ transect. 1m LIDAR data courtesy of USGS. Yellow lines represents National Park boundary lines. Map by Paul Brown, derived from 2001 Dept. of Defense LIDAR data.
ScienceDex guides
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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.