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23 results for “Religion.”
Pulotu: Database of Austronesian Religions
<p>Cite the source of the dataset as:</p> <blockquote> <p>Watts J., Sheehan O., Greenhill S.J., Gomes-Ng S., Atkinson Q.D., Bulbulia J., Gray R.D. (2015). Pulotu: Database of Austronesian Supernatural Beliefs and Practices. PLoS ONE 10(9). DOI: https://doi.org/10.1371/journal.pone.0136783</p> </blockquote>
Standard Cross-Cultural Sample of Religion
<p>The Standard Cross-Cultural Sample of Religion is a product of the <a href="https://religiondatabase.org/" rel="nofollow">Database of Religious History (DRH)</a>. The DRH is a qualitative-quantitative encyclopedic database of historical religious data across time and space. Data are contributed to the project by academic <a href="https://religiondatabase.org/landing/about/people/experts" rel="nofollow">experts</a> and overseen by a panel of <a href="https://religiondatabase.org/landing/about/people/editors" rel="nofollow">editors</a>. The data take the form of answers (provided by experts) to a long list of standard questions grounded in time and space.</p> <p>The Standard Cross-Cultural Sample of Religion is “standard” in a different way than its namesake, The Standard Cross-Cultural Sample (SCCS). The SCCS was designed to control for region and cultural relatedness. Because of our mostly bottom-up, expert-driven data gathering method, DRH data is heavily overweighted in certain time/space regions. Analysts will have to control for this as they see fit.</p> <p>On the other hand, DRH data is “standard” in the sense that whatever Group, Place of Text is being portrayed, experts are answering a standardized set of questions, allowing a degree of comparison and quantitative analysis that has simply never been possible before. As the DRH grows, top-down data-gathering pushes will be targeted at underrepresented regions of the world, with the goal of making future versions of the SCCSR more and more comprehensive.</p> <p>The Standard Cross-Cultural Sample of Religion (SCCSR.v2) is provided under CC-BY-4.0 license.</p>
TYPES: Male holotype from Panama: Panama: Parque Nacional Altos de Campana, 1 hectare PANCODING Inventory, 895 m, 8.68333°, -79.92972°, June 14–19, 2007, M. Arnedo, D. Dimitrov, G. Hormiga, F. Labarque, M. Ramírez, deposited in MIUP, PBI_OON 42313; same data, 1 male paratype deposited in MACN-Ar 29895, PBI_OON 42312. ETYMOLOGY: A noun in apposition; in Greek religion and mythology, Pan is the god of the wild natural world, of shepherds, flocks, and mountains, and of hunting and rustic music. He has hindquarters, legs, and horns of a goat, and the name is here employed to note the large mac- rosetae at the eye region of males that resemble the horns in some illustrations of this god. DIAGNOSIS: This is one of the most autapomor- phic species from the Americas; males have the labium fused with the sternum (fig. 34B), small chelicerae, shorter than the endite length, with anterior blunt projections, and directed backward in lateral view (fig. 34D, E); clypeus directed back- ward (fig. 34D); two light areas on the sternum just below the endites (fig. 34B), carapace almost flat in lateral view and two strong macrosetae at the eye region, pointing forward (fig. 34C–E). Other characters of the male palp, such as the presence of two apophyses, also distinguish this species from others (fig. 38D–F). MALE (PBI_OON 42312): Total length 1.00. Habitus as in figure 34A–C. CEPHALOTHO- RAX: Carapace orange, with brown stripe along in Taxonomic Revision Of The Jumping Goblin Spiders Of The Genus Orchestina Simon, 1882, In The Americas (Araneae: Oonopidae)
TYPES: Male holotype from Panama: Panama: Parque Nacional Altos de Campana, 1 hectare PANCODING Inventory, 895 m, 8.68333°, -79.92972°, June 14–19, 2007, M. Arnedo, D. Dimitrov, G. Hormiga, F. Labarque, M. Ramírez, deposited in MIUP, PBI_OON 42313; same data, 1 male paratype deposited in MACN-Ar 29895, PBI_OON 42312. ETYMOLOGY: A noun in apposition; in Greek religion and mythology, Pan is the god of the wild natural world, of shepherds, flocks, and mountains, and of hunting and rustic music. He has hindquarters, legs, and horns of a goat, and the name is here employed to note the large mac- rosetae at the eye region of males that resemble the horns in some illustrations of this god. DIAGNOSIS: This is one of the most autapomor- phic species from the Americas; males have the labium fused with the sternum (fig. 34B), small chelicerae, shorter than the endite length, with anterior blunt projections, and directed backward in lateral view (fig. 34D, E); clypeus directed back- ward (fig. 34D); two light areas on the sternum just below the endites (fig. 34B), carapace almost flat in lateral view and two strong macrosetae at the eye region, pointing forward (fig. 34C–E). Other characters of the male palp, such as the presence of two apophyses, also distinguish this species from others (fig. 38D–F). MALE (PBI_OON 42312): Total length 1.00. Habitus as in figure 34A–C. CEPHALOTHO- RAX: Carapace orange, with brown stripe along
Burke Library New York City Religions web archive collection derivatives
<p>Web archive derivatives of the <a href="https://archive-it.org/collections/1945">Burke Library New York City Religions</a> collection from <a href="https://archive-it.org/home/Columbia">Columbia University Libraries</a>. The derivatives were created with the <a href="https://github.com/archivesunleashed/aut/">Archives Unleashed Toolkit</a> and <a href="https://cloud.archivesunleashed.org/">Archives Unleashed Cloud</a>.</p> <p>The <strong>cul-1945-parquet.tar.gz</strong> derivatives are in the <a href="https://parquet.apache.org/">Apache Parquet format</a>, which is a <a href="http://en.wikipedia.org/wiki/Column-oriented_DBMS">columnar storage</a> format. These derivatives are generally small enough to work with on your local machine, and can be easily converted to Pandas DataFrames. See <a href="https://github.com/archivesunleashed/notebooks/blob/master/datathon-nyc/parquet_pandas_stonewall.ipynb">this</a> notebook for examples.</p> <p><strong>Domains</strong></p> <pre><code class="language-java">.webpages().groupBy(ExtractDomainDF($"url").alias("url")).count().sort($"count".desc)</code></pre> <p>Produces a DataFrame with the following columns:</p> <ul> <li>domain</li> <li>count</li> </ul> <p><strong>Web Pages</strong></p> <pre><code class="language-java">.webpages().select($"crawl_date", $"url", $"mime_type_web_server", $"mime_type_tika", RemoveHTMLDF(RemoveHTTPHeaderDF(($"content"))).alias("content"))</code></pre> <p>Produces a DataFrame with the following columns:</p> <ul> <li>crawl_date</li> <li>url</li> <li>mime_type_web_server</li> <li>mime_type_tika</li> <li>content</li> </ul> <p><strong>Web Graph</strong></p> <pre><code class="language-java">.webgraph()</code></pre> <p>Produces a DataFrame with the following columns:</p> <ul> <li>crawl_date</li> <li>src</li> <li>dest</li> <li>anchor</li> </ul> <p><strong>Image Links</strong></p> <pre><code class="language-java">.imageLinks()</code></pre> <p>Produces a DataFrame with the following columns:</p> <ul> <li>src</li> <li>image_url</li> </ul> <p><a href="https://github.com/archivesunleashed/aut-docs/blob/master/current/binary-analysis.md#binary-analysis"><strong>Binary Analysis</strong></a></p> <ul> <li>Images</li> <li>PDFs</li> <li>Presentation program files</li> <li>Spreadsheets</li> <li>Text files</li> <li>Word processor files<br> </li> </ul> <p>The <strong>cul-1945-auk.tar.gz </strong>derivatives<strong> </strong>are the <a href="https://cloud.archivesunleashed.org/derivatives">standard set of web archive derivatives</a> produced by the Archives Unleashed Cloud.</p> <ul> <li><strong>Gephi </strong>file, which can be loaded into <a href="https://gephi.org/">Gephi</a>. It will have basic characteristics already computed and a basic layout.</li> <li><strong>Raw Network</strong> file, which can also be loaded into <a href="https://gephi.org/">Gephi</a>. You will have to use that network program to lay it out yourself.</li> <li><strong>Full text</strong> file. In it, each website within the web archive collection will have its full text presented on one line, along with information around when it was crawled, the name of the domain, and the full URL of the content.</li> <li><strong>Domains count</strong> file. A text file containing the frequency count of domains captured within your web archive.</li> </ul>
State by State Rape Suicide and No Religion Rates from 2014 to 2020
<table> <tbody> <tr> <td>1. No Religion Rate</td> <td>The 2014 Data have been drawn from the Pew Religious Landscape Survey of that year.<span> </span>Pew Research Center. (2015). U.S. public becoming less religious. Pew Research Center. Data for the years 2014 - 2020 are from the Public Religion Research Institute (PRRI). Public Religion Research Institute. (2015). PRRI Religion and Politics Tracking Survey. PRRI. https://ava.prri.org/media/methodology/PRRI-AVA%20Issue%20Topline%202014.pdf.<span> </span>The data download process can be viewed at this URL: https://youtu.be/pG1KMFTjMso</td> </tr> <tr> <td>2. Suicide Rate</td> <td>The analysis makes use of state-by-state suicide rates.<span> </span>This used the data extraction tool maintained by the Centers for Disease Control (CDC) covering deaths for the years 1999-2020 <span>(CDC, 2021)</span><span>.<span> </span>The causes of death used for this analysis cover all those under the heading “Intentional Self-Harm”.<span> </span>These include the range of description codes from X60 to X84 under the International Classification of Diseases 10</span><span><sup>th</sup></span><span> revision (ICD10).<span> </span>CDC. (2021). Mortality 1999-2020 on CDC WONDER Online Database. Centers for Disease Control and Prevention, National Center for Health Statistics. National Vital Statistics System.<span> </span>https://wonder.cdc.gov/ucd-icd10.html</span></td> </tr> <tr> <td>3. Clery Act Rape Rate</td> <td>The Office of Postsecondary Education’s campus security handbook defines rape as “the penetration, no matter how slight, of the vagina or anus, with any body part or object, or oral penetration by a sex organ of another person, without the consent of the victim” <span>(Department of Education, 2016, pp. 3–6)</span><span>. All campus rape rates cited below are based on this new revised definition.<span> </span>For the purposes of calculating campus rape rates the full federal data files were downloaded from the Web site of the U.S. Department of Education. https://ope.ed.gov/campussafety/#/</span></td> </tr> <tr> <td>4. UCR Rape Rate</td> <td>The FBI reports state-by-state rape rates using a revised definition of rape <span>(Federal Bureau of Education, 2013)</span><span> that is identical to the Department of Education Handbook definition cited above.<span> </span>The FBI’s legacy definition is not used in any of the analyses described below.<span> </span>Just as institutions of higher education are required to report campus crime incidents to the federal Department of Education under the Clery Act, local police agencies are required to report crime incidents to the FBI under the Uniform Crime Reports (UCR) program.<span> </span>These rape rates are the number of crime incidents divided by the state population divided by 100,000.<span> </span>Data was downloaded using the FBI's Crime Data Explorer.<span> </span>https://cde.ucr.cjis.gov/LATEST/webapp/#/pages/home</span></td> </tr> </tbody> </table>
Toxic Sentence Classification Dataset with labels of categories such as religion, mental health, race, sex, body image, disability, physical abuse, and politics
<p>The dataset has a collection of various toxic sentences belonging to different categories. It was collected from various sources. It indicates which category each sentence belongs to. The values of the category columns are binary 1 or 0 indicating whether the sentence belongs to that particular category or not. Each sentence belongs to only 1 category. </p> <p> </p> <p>Columns:<br>1.comment_text: Contains toxic sentences that are insensitive and offensive, focusing on various categories.<br>2.mental_health: Binary value 1 indicates that the sentence focuses on mental health.<br>3.Race:Binary value 1 indicates that the sentence is racist.<br>4.sex:Binary value 1 indicates that the sentence focuses on sexuality.<br>5.body_image:Binary value 1 indicates that the sentence focuses on body image.<br>6.disability:Binary value 1 indicates that the sentence focuses on physical disability and related issues.<br>7.religion:Binary value 1 indicates that the sentence can be triggering to people who are extremely religious.<br>8.physical_abuse:Binary value 1 indicates that the sentence focuses on physical abuse issues.<br>9.politics:Binary value 1 indicates that the sentence focuses on political issues.</p>
Wikidata Dump religions-wikidata
<p>RDF dump of wikidata produced with <a href="//wdumps.toolforge.org/">wdumper</a>.</p><p>religions wikidata<br><a href="//wdumps.toolforge.org/dump/2978">View on wdumper</a></p><p><b>entity count<b>: 0, <b>statement count</b>: 0, <b>triple count</b>: 0</b></b></p>
Wikidata Dump religions-wikidata
<p>RDF dump of wikidata produced with <a href="//wdumps.toolforge.org/">wdumper</a>.</p><p>religions wikidata<br><a href="//wdumps.toolforge.org/dump/2978">View on wdumper</a></p><p><b>entity count<b>: 0, <b>statement count</b>: 0, <b>triple count</b>: 0</b></b></p>
Wikidata Dump religions-wikidata
<p>RDF dump of wikidata produced with <a href="//wdumps.toolforge.org/">wdumper</a>.</p><p>religions wikidata<br><a href="//wdumps.toolforge.org/dump/2978">View on wdumper</a></p><p><b>entity count<b>: 0, <b>statement count</b>: 0, <b>triple count</b>: 0</b></b></p>
Wikidata Dump religions-wikidata
<p>RDF dump of wikidata produced with <a href="//wdumps.toolforge.org/">wdumper</a>.</p><p>religions wikidata<br><a href="//wdumps.toolforge.org/dump/2978">View on wdumper</a></p><p><b>entity count<b>: 0, <b>statement count</b>: 0, <b>triple count</b>: 0</b></b></p>
Index der verwendeten Internetquellen für das Lehrbuch "Religion und Sprache"
<p>Für das Lehrbuch <em>Religion und Sprache</em> verwenden wir einen Index für Internetquellen. Dieser ist am Schluss des Lehrbuchs in einem separaten Verzeichnis zu finden; Sie können darauf aber auch online zugreifen, um den Index parallel zur Lektüre immer zur Hand zu haben. Im Lehrbuch wird auf die je aktuelle Variante des Indexes verwiesen. </p>
Replication package for: Forbidden Fruits: The Political Economy of Science, Religion, and Growth
<p>The zipped folder contains all the files need to replicate the results reported in the paper “Forbidden Fruits: The Political Economy of Science, Religion, and Growth” by Roland Bénabou, Davide Ticchi, and Andrea Vindigni, published in the Review of Economic Studies.</p>
Turning to Religion as a Mediator of the Relationship Between Hopelessness and Job Satisfaction During the COVID-19 Pandemic Among Individuals Representing the Uniformed Services or Working in Professions of Public Trust in Poland
<p><strong>Introduction.</strong> During the COVID-19 pandemic individuals performing uniformed service or working in a profession of public trust are particularly exposed to chronic stress. The consequences of stress in turn translate into a decrease in quality of life across various domains, including professional functioning. The perceived mental difficulties can lead to feeling of hopelessness, which in turn can generate a decrease in job satisfaction. Religiosity is a factor which, in stress-inducing conditions, not only stops the spiral of perceived resource losses but also triggers gains in the resources possessed.</p> <p><strong>Aim.</strong> In this study, we tested - in the light of Conservation of resources theory (COR) - whether during the COVID-19 pandemic, the preference for positive religious coping strategies (turning to religion) by people declaring religiosity is a mediator for the relationship between perceived hopelessness and job satisfaction.</p> <p><strong>Methods.</strong> The study covered 238 individuals representing the uniformed services or working in professions of public trust in Poland. The Inventory for Measuring Coping with Stress (MINI-COPE) and The Beck Hopelessness Scale (BHS) and were employed in the research. <strong>Results.</strong> The mediating role of turning to religion in relationship between perceived hopelessness and job satisfaction was confirmed only in the group of women. The relationship found in this group indicates that perceived hopelessness is alleviated by turning to religion, which at the same time leads to an increase in job satisfaction.</p> <p><strong>Conclusion.</strong> The obtained results prove that it should be standard practice to offer specialist help after potentially traumatic events in the workplace not only in the form of emotional and/or instrumental support but also in the form of spiritual help.</p>
Data for articles in "Historical Network Analysis in the Study of Chinese Religion" (Special issue Religions 2023)
<p>This is the data for the seven articles collected in the special issue of <i>Religions</i> (2023) "Historical Network Analysis in the Study of Chinese Religion":</p><p> - Bingenheimer, Marcus. 2023. "Miyun Yuanwu 密雲圓悟 (1567–1642) and His Impact on 17th-Century Buddhism" Religions 14, no. 2: 248. https://doi.org/10.3390/rel14020248</p><p>- Chen, Song. 2023. "Patterns of Integration: A Network Perspective on Popular Religious Connections in China's Lower Yangzi, 1150–1350" Religions 14, no. 5: 577. https://doi.org/10.3390/rel14050577</p><p>- Chu, Ming-Kin. 2023. "Realizing the "Outwardly Regal" Vision in the Midst of Political Inactivity: A Study of the Epistolary Networks of Li Gang 李綱 (1083–1140) and Sun Di 孫覿 (1081–1169)" Religions 14, no. 3: 389. https://doi.org/10.3390/rel14030389</p><p>- Goossaert, Vincent. 2023. "The Social Networks of Gods in Late Imperial Spirit-Writing Altars" Religions 14, no. 2: 217. https://doi.org/10.3390/rel14020217</p><p>- Nehrdich, Sebastian. 2023. "Observations on the Intertextuality of Selected Abhidharma Texts Preserved in Chinese Translation" Religions 14, no. 7: 911. https://doi.org/10.3390/rel14070911</p><p>- Sokolova, Anna. 2023. "Regional Buddhist Communities in Tang China and Their Social Networks: The Network of Master Fayun (?–766)" Religions 14, no. 3: 335. https://doi.org/10.3390/rel14030335</p><p>- Van Cutsem, Laurent. 2023. "Lineages as Network: A Study of Chan Genealogy in the Zutang ji 祖堂集 Using Social Network Analysis" Religions 14, no. 2: 205. https://doi.org/10.3390/rel14020205</p>
Data from: Religion does matter for climate change attitudes and behavior
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Towards big religious data, RESILIENCE Research Infrastructure for Data on Religion in the Digital Age
<p>Data in and for religion is arguably as old as humanity. Religious significance has been attached to an immense variety of artifacts and documents, often in written form, in nearly all spoken and written languages over the past millennia. The rise of the digital age gives to the scholar in religious studies the opportunity to build research over a much wider array of data than ever before; institutions which have data repositories (such as libraries, museums, universities, etc.) similarly have the chance to make their collections available to a larger community. On the other hand, however, there is a serious risk that a considerable amount of data gets lost during the "Digital transition". This paper presents the approach of the RESILIENCE Research Infrastructure in dealing with the issue of big data and data loss within the field of religious studies.</p>
THE ROLE OF WORLD RELIGIONS IN MATTERS OF CHARITY AND PATRONAGE IN THE XIX-XX CENTURIES (ON THE EXAMPLE OF THE TERRITORY OF TURKESTAN).
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Student's opinion on religion 360 website
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Religions and Denominations in the Crown in the second half of the 18th century
<p>Zasób zawiera informacje o obiektach sakralnych religii i wyznań na terenie Korony około 1772 r. Obejmuje w sumie 15 253 obiekty sakralne, w tym 8311 cerkwi unickich, 5720 kościołów łacińskich, 841 synagog i bożnic, 276 świątyń luterańskich, 35 cerkwi prawosławnych, 22 kościoły katolickie obrządku ormiańskiego, 19 świątyń mennonickich, 14 – kalwińskich, 10 – braci czeskich, 3 kienesy karaimskie oraz 2 meczety.</p>
Effects of Psilocybin-facilitated Experience on the Psychology and Effectiveness of Professional Leaders in Religion
ClinicalTrials.gov study NCT02243813. IPD Sharing: Not stated. Countries: 1. Publications: 0.
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.