Facebook
TwitterBy Throwback Thursday [source]
The dataset includes data on Christianity, Islam, Judaism, Buddhism, Hinduism, Sikhism, Shintoism, Baha'i Faith, Taoism, Confucianism, Jainism and various other syncretic and animist religions. For each religion or denomination category, it provides both the total population count and the percentage representation in relation to the overall population.
Additionally, - Columns labeled with Population provide numeric values representing the total number of individuals belonging to a particular religion or denomination. - Columns labeled with Percent represent numerical values indicating the percentage of individuals belonging to a specific religion or denomination within a given population. - Columns that begin with ** indicate primary categories (e.g., Christianity), while columns that do not have this prefix refer to subcategories (e.g., Christianity - Roman Catholics).
In addition to providing precise data about specific religions or denominations globally throughout multiple years,this dataset also records information about geographical locations by including state or country names under StateNme.
This comprehensive dataset is valuable for researchers seeking information on global religious trends and can be used for analysis in fields such as sociology, anthropology studies cultural studies among others
Introduction:
Understanding the Columns:
Year: Represents the year in which the data was recorded.
StateNme: Represents the name of the state or country for which data is recorded.
Population: Represents the total population of individuals.
Total Religious: Represents the total percentage and population of individuals who identify as religious, regardless of specific religion.
Non Religious: Represents the percentage and population of individuals who identify as non-religious or atheists.
Identifying Specific Religions: The dataset includes columns for different religions such as Christianity, Judaism, Islam, Buddhism, Hinduism, etc. Each religion is further categorized into specific denominations or types within that religion (e.g., Roman Catholics within Christianity). You can find relevant information about these religions by focusing on specific columns related to each one.
Analyzing Percentages vs. Population: Some columns provide percentages while others provide actual population numbers for each category. Depending on your analysis requirement, you can choose either column type for your calculations and comparisons.
Accessing Historical Data: The dataset includes records from multiple years allowing you to analyze trends in religious populations over time. You can filter data based on specific years using Excel filters or programming languages like Python.
Filtering Data by State/Country: If you are interested in understanding religious populations in a particular state or country, use filters to focus on that region's data only.
Example - Extracting Information:
Let's say you want to analyze Hinduism's growth globally from 2000 onwards:
- Identify Relevant Columns:
- Year: to filter data from 2000 onwards.
Hindu - Total (Percent): to analyze the percentage of individuals identifying as Hindus globally.
Filter Data:
Set a filter on the Year column and select values greater than or equal to 2000.
Look for rows where Hindu - Total (Percent) has values.
Analyze Results: You can now visualize and calculate the growth of Hinduism worldwide after filtering out irrelevant data. Use statistical methods or graphical representations like line charts to understand trends over time.
Conclusion: This guide has provided you with an overview of how to use the Rel
- Comparing religious populations across different countries: With data available for different states and countries, this dataset allows for comparisons of religious populations across regions. Researchers can analyze how different religions are distributed geographically and compare their percentages or total populations across various locations.
- Studying the impact of historical events on religious demographics: Since the dataset includes records categorized by year, it can be used to study how historical events such as wars, migration, or political changes have influenced religious demographics over time. By comparing population numbers before and after specific events, resea...
Facebook
TwitterBy Throwback Thursday [source]
The dataset contains information on a wide range of religions, including Christianity, Judaism, Islam, Buddhism, Hinduism, Sikhism, Shintoism, Baha'i Faith, Taoism, Confucianism, Jainism, Zoroastrianism, Syncretic Religions (religious practices that blend elements from multiple faiths), Animism (belief in spiritual beings in nature), Non-Religious individuals or those without any religious affiliation.
For each religion and region/country combination recorded in the dataset we have the following information:
- Total population: The total population of the region or country.
- Religious affiliation percentages: The percentages of the population that identify with specific religious affiliations.
- Subgroup populations/percentages: The populations or percentages within specific denominations or sects of each religion.
The dataset also provides additional variables like Year and State Name (for regional data) for further analysis.
Understanding the Columns
The dataset contains several columns with different categories of information. Here's a brief explanation of some important columns:
- Year: The year in which the data was recorded.
- Total Population: The total population of a country or region.
- State Name (StateNme): The name of the state or region.
Each religion has specific columns associated with it, such as Christianity, Buddhism, Islam, Hinduism, Judaism, Taoism, Shintoism etc., representing its percentage and population for each category/denomination within that religion.
Selecting Specific Data
If you are interested in exploring data related to a particular religion or geographic location:
To filter data by Religion: Identify relevant columns associated with that religion such as 'Christianity', 'Buddhism', 'Islam', etc., and extract their respective percentage and population values for analysis.
Example: If you want to analyze Christianity specifically, extract columns related to Christianity like 'Christianity (Percent)', 'Christianity (Population)', etc.
Note: There might be multiple columns related to a specific religion indicating different categories or denominations within that religion.
To filter data by Geographic Location: Utilize the 'State Name' column ('StateNme') to segregate data corresponding to different states/regions.
Example: If you want to analyze religious demographics for a particular state/region like California or India:
i) Filter out rows where State Name is equal to California or India.
ii) Extract relevant columns associated with your selected religion as mentioned above.
Finding Trends and Insights
Once you have selected the specific data you are interested in, examine patterns and trends over time or across different regions.
Plotting data using visualizations: Use graphical tools such as line charts, bar charts, or pie charts to visualize how religious demographics have changed over the years or vary across different regions.
Analyzing population proportions: By comparing the percentage values of different religions for a given region or over time, you can gather insights into changes in religious diversity.
Comparing Religions
If you wish to compare multiple religions:
- Comparing religious affiliations across different countries or regions: With data on various religions such as Christianity, Islam, Buddhism, Judaism, Hinduism, etc., researchers can compare the religious affiliations of different countries or regions. This can help in understanding the cultural and religious diversity within different parts of the world.
- Exploring the growth or decline of specific religions: By examining population numbers for specific religions such as Jainism, Taoism, Zoroastrianism, etc., this dataset can be used to investigate the growth or decline of these religious groups over time. Researchers can analyze factors contributing to their popularity or decline in particular regions or countries
If you use this dataset in your research, please credit the original authors. Data Source
See the dataset description for more information.
File: ThrowbackDataThursday 201912 - Religion.csv | Column name...
Facebook
Twitterhttps://www.pewresearch.org/about/terms-and-conditions/https://www.pewresearch.org/about/terms-and-conditions/
This dataset describes the world’s religious makeup in 2020 and 2010. We focus on seven categories: Christians, Muslims, Hindus, Buddhists, Jews, people who belong to other religions, and those who are religiously unaffiliated. This analysis is based on more than 2,700 sources of data, including national censuses, large-scale demographic surveys, general population surveys and population registers. For more information about this data, see the associated Pew Research Center report "How the Global Religious Landscape Changed From 2010 to 2020."
Facebook
TwitterAs the COVID-19 pandemic hit, Orthodox Christians globally reacted to the possibility of contagion and risk in dialogue with theological positions about materials, their own long history which includes surviving previous pandemics and plagues, governmental and civil expectations and edicts, and pious – but often unofficial – understandings about protection and the sacrality of religious artefacts and the space of the temple. This dataset aggregates primary ethnographic research amongst Orthodox Christians in the UK, Serbia, Greece and Russia to highlight commonalities and divergences in Orthodox Christian responses to the pandemic. Examining both the theological basis, and socio-political differences, this dataset focuses on how the Orthodox theology of apophaticism and relationality impacts wider discourses of contagion (both positive and negative), and consequently compliance with public health initiatives. Comparison across diverse Orthodox settings highlights Orthodox Christian concern with the neighbour – both in terms of who may be watching (and reporting) them, and who may fall sick because of them.
Aims: This project asks 'What role does the material ecology play in shaping the sociopolitics of Global Orthodoxy?' as a case study for global political discourse and the role of material in the social dynamics of religion. Impact: Orthodox Christianity is a tradition based on discourse, but there has been very little research looking at the specifics of how it works. Focusing on discourse also tends to over emphasise words and belief. But what if, like Max Muller, we insist that religion must start with what is perceived, not with concepts like 'belief in the supernatural'? This means we situate discursive traditions like Orthodoxy not in concepts but in the material culture of local and global religious groups. This reframes how we understand religion, and forefronts the impact that religious practice has upon material aspects of our experience like health, the environment and geopolitics. Context: Much social scientific interest in religion looks at the variation in the lived religion from one place to another. However, there are moments - such as in April 2018 when the President of Ukraine asked the Greek Patriarch to intervene into the Russian Church in the Ukraine - when religion can not be studied only in the local lived expression. Situations such as the conflict in Ukraine are complicated by historic tension between local Orthodox Churches. Disagreements in the interpretation of the theology of the body, person, and environment foment political tension within the Churches, between the Churches and external bodies, and between nations. The materiality of discourse must be seen as central to the form and practice of the tradition. Research: Framed in terms of three research domains, this project focuses on the material conditions of Global Orthodox sociopolitics, conducting research amongst Orthodox Christians and religious institutions. The project investigates how the properties and affordances of the material ecology (including the body, the built environment and wider 'natural' order) shape and are marshalled within the discourse of the Orthodox Churches. The three domains are the Body, Person, and Environment. The Body domain addresses issues such as medical interventions, like IVF and organ donation, which are, across Global Orthodoxy, contentious to varying degrees. The material body becomes a place for negotiating ethical goods (eg extending life, fertility, honouring God). The Person domain examines the variance in permission different churches grant concerning family and marriage practices (eg divorce, family planning). There is also a mounting discourse around identity politics, with some voices pushing for an open approach to homosexuality and women clergy. The material of the body, person, and Church are marshalled as the grounding for historically contingent, philosophically premised, and scientifically inflected arguments for or against 'progressive' movements. Finally, the Environment domain examines the relationship between humans, specific locations, and the earth as a whole. Orthodox theologians highlight an emphasis on 'stewardship of the earth' and call for active engagement in ecological conservation. Issues such as Global Warming take an explicitly religious imperative, as scientific data points to human failure to fulfil their God-given role as caretakers. The control of land (including places like Crimea and Jerusalem) also becomes a religious duty with geopolitical impact. Output: This project will produce one academic book on the material aspects of the sociopolitics of Orthodox Christianity, a book written for a general audience looking at key case studies around contemporary issues in Orthodoxy, six academic articles, white papers and policy advice on various issues relating to the health and wellbeing of Orthodox Christians and their homelands, and pamphlets written with stakeholder community leaders to help address social issues within the community settings.
Facebook
Twitterhttps://www.pewresearch.org/about/terms-and-conditions/https://www.pewresearch.org/about/terms-and-conditions/
Pew Research Center conducted face-to-face surveys among 29,999 adults (ages 18 and older) across 26 Indian states and three union territories in 17 languages. The sample includes interviews with 22,975 Hindus, 3,336 Muslims, 1,782 Sikhs, 1,011 Christians, 719 Buddhists and 109 Jains. An additional 67 respondents belong to other religions or are religiously unaffiliated. Six groups were targeted for oversampling as part of the survey design: Muslims, Christians, Sikhs, Buddhists, Jains and those living in the Northeast region. Interviews were conducted under the direction of RTI International from November 17, 2019, to March 23, 2020. Data collection used computer-assisted personal interviews (CAPI) after random selection of households.
This project was produced by Pew Research Center as part of the Pew-Templeton Global Religious Futures project, which analyzes religious change and its impact on societies around the world. Funding for the Global Religious Futures project comes from The Pew Charitable Trusts and the John Templeton Foundation.
Two reports focused on the findings from this data: •Religion in India: Tolerance and Segregation: https://www.pewresearch.org/religion/2021/06/29/religion-in-india-tolerance-and-segregation/ •How Indians View Gender Roles in Families and Society: https://www.pewresearch.org/religion/2022/03/02/how-indians-view-gender-roles-in-families-and-society/
Facebook
TwitterContent: attitudes towards religious practices.Topics: assessment of personal happiness; attitudes towards pre-maritalsexual intercourse; attitudes towards committed adultery; attitudestowards homosexual relationships between adults; attitudes towardsabortion in case of serious disability or illness of the baby or lowincome of the family; attitudes towards gender roles in marriage; trustin institutions (parliament, business and industry, churches andreligious organizations, courts and the legal system, schools and theeducational system); mobility; attitudes towards the influence ofreligious leaders on voters and government; attitudes towards thebenefits of science and religion (scale: modern science does more harmthan good, too much trust in science and not enough in religious faith,religions bring more conflicts than peace, intolerance of people withvery strong religious beliefs); judgement on the power of churches andreligious organizations; attitudes towards equal rights for allreligious groups in the country and respect for all religions;acceptance of persons from a different religion or with differentreligious views in case of marrying a relative or being a candidate ofthe preferred political party (social distance); attitudes towards theallowance for religious extremists to hold public meetings and topublish books expressing their views (freedom of expression); doubt orfirm belief in God (deism, scale); belief in: a life after death,heaven, hell, religious miracles, reincarnation, Nirvana, supernaturalpowers of deceased ancestors; attitudes towards a higher truth andtowards meaning of life (scale: God is concerned with every human beingpersonally, little that people can do to change the course of theirlives (fatalism), life is meaningful only because God exists, life doesnot serve any purpose, life is only meaningful if someone provides themeaning himself, connection with God without churches or religiousservices); religious preference (affiliation) of mother, father andspouse/partner; religion respondent was raised in; frequency ofchurch attendance (of attendance in religious services) of father andmother; personal frequency of church attendance when young; frequencyof prayers and participation in religious activities; shrine, altar ora religious object in respondent’s home; frequency of visiting a holyplace (shrine, temple, church or mosque) for religious reasons exceptregular religious services; self-classification of personalreligiousness and spirituality; truth in one or in all religions;attitudes towards the profits of practicing a religion (scale: findinginner peace and happiness, making friends, gaining comfort in times oftrouble and sorrow, meeting the right kind of people).Optional items (not stated in all countries): questions in countrieswith an appreciable number of Evangelical Protestants): ´born-again´Christian; attitudes towards the Bible (or appropriate holy book);questions generally applicable for all countries: conversion of faithafter crucial experience; personal sacrifice as an expression of faithsuch as fasting or following a special diet during holy season such asLent or Ramadan; concept of God (semantic differential scale: mother -father, master - spouse, judge - lover, friend - king); belief in luckycharms, fortune tellers, faith healers and horoscopes; social rules orGod’s laws as basis for deciding between right and wrong; attitudestowards members of different religious groups (Christians, Muslims,Hindus, Buddhists, Jews, Atheists or non-believers.Demography: sex; age; marital status; steady life partner; years ofschooling; highest education level; country specific education anddegree; current employment status (respondent and partner); hoursworked weekly; occupation (ISCO 1988) (respondent and partner);supervising function at work; working for private or public sector orself-employed (respondent and partner); if self-employed: number ofemployees; trade union membership; earnings of respondent (countryspecific); family income (country specific); size of household;household composition; party affiliation (left-right); country specificparty affiliation; participation in last election; religiousdenomination; religious main groups; attendance of religious services;self-placement on a top-bottom scale; region (country specific); sizeof community (country specific); type of community: urban-rural area;country of origin or ethnic group affiliation.Additionally coded: administrative mode of data-collection; weightingfactor; case substitution. Einstellung zur religiösen Praxis.Themen: Einschätzung des persönlichen Glücksgefühls; Einstellung zuvorehelichem Geschlechtsverkehr und zu außerehelichemGeschlechtsverkehr (Ehebruch); Einstellung zu homosexuellen Beziehungenzwischen Erwachsenen; Einstellung zu Abtreibung im Falle vonBehinderung oder Krankheit des Babys und im Falle geringen Einkommensder Familie; Rollenverständnis in der Ehe; Institutionenvertrauen(Parlament, Unternehmen und Industrie, Kirche und religiöseOrganisationen, Gerichte und Rechtssystem, Schulen und Bildungssystem);eigene Mobilität; Einstellung zum Einfluss von religiösen Führern aufWähler und Regierung; Einstellung zu Wissenschaft und Religion (Skala:moderne Wissenschaft bringt mehr Schaden als Nutzen, zu viel Vertrauenin die Wissenschaft und zu wenig religiöses Vertrauen, Religionenbringen mehr Konflikte als Frieden, Intoleranz von Menschen mit starkenreligiösen Überzeugungen); Beurteilung der Macht von Kirchen undreligiösen Organisationen im Lande; Einstellung zur Gleichberechtigungaller religiösen Gruppen im Land und Respekt für alle Religionen;Akzeptanz einer Person anderen Glaubens oder mit unterschiedlichenreligiösen Ansichten als Ehepartner im Verwandtschaftskreis sowie alsKandidat der präferierten Partei (soziale Distanz); Einstellung zuröffentlichen Redefreiheit bzw. zum Publikationsrecht für religiöseExtremisten; Zweifel oder fester Glaube an Gott (Skala Deismus); Glaubean: ein Leben nach dem Tod, Himmel, Hölle, Wunder, Reinkarnation,Nirwana, übernatürliche Kräfte verstorbener Vorfahren; Einstellung zueiner höheren Wahrheit und zum Sinn des Lebens (Gott kümmert sich umjeden Menschen persönlich, nur wenig persönlicher Einfluss auf dasLeben möglich (Fatalismus), Leben hat nur einen Sinn aufgrund derExistenz Gottes, Leben dient keinem Zweck, eigenes Tun verleiht demLeben Sinn, persönliche Verbindung mit Gott ohne Kirche oderGottesdienste); Religion der Mutter, des Vaters und des Ehepartnersbzw. Partners; Religion, mit der der Befragte aufgewachsen ist;Kirchgangshäufigkeit des Vaters und der Mutter; persönlicheKirchgangshäufigkeit in der Jugend; Häufigkeit des Betens und derTeilnahme an religiösen Aktivitäten; Schrein, Altar oder religiösesObjekt (z.B. Kreuz) im Haushalt des Befragten; Häufigkeit des Besuchseines heiligen Ortes (Schrein, Tempel, Kirche oder Moschee) ausreligiösen Gründen; Selbsteinschätzung der Religiosität undSpiritualität; Wahrheit in einer oder in allen Religionen;Vorteilhaftigkeit der Ausübung einer Religion (Skala: inneren Friedenund Glück finden, Freundschaften schließen, Unterstützung inschwierigen Zeiten, Gleichgesinnte treffen).Optionale Items (nicht in allen Ländern ausgeführt): Fragen in Ländernmit einer bedeutenden Anzahl evangelikaler Protestanten: wiedergeboreneChristen; Einstellung zur Bibel; Fragen, die grundsätzlich für alleLänder anwendbar sind: Bekehrung zum Glauben nach einemSchlüsselerlebnis; persönliche Opfer als Ausdruck des Glaubens wieFasten oder Einhalten einer speziellen Diät während heiliger Zeiten wiez.B. Ramadan; Konzept von Gott (semantisches Differential:Mutter/Vater, Herr und Meister/Ehepartner, Richter/Liebender,Freund/König); Glaube an Glücksbringer, Wahrsager, Gesundbeter undHoroskope; demokratische oder göttliche Gesetze als Grundlage fürEntscheidungen zwischen richtig und falsch; Einstellung gegenüberverschiedenen religiösen Gruppen (Christen, Muslime, Hindus,Buddhisten, Juden, Atheisten oder Nicht-Gläubige).Demographie: Geschlecht; Alter; Familienstand; Zusammenleben mit einemPartner; Jahre der Schulbildung, höchster Bildungsabschluss;länderspezifischer Bildungsgrad; derzeitiger Beschäftigungsstatus desBefragten und seines Partners; Beruf (ISCO-88) des Befragten und seinesPartners; Vorgesetztenfunktion; Beschäftigung im privaten oderöffentlichen Dienst oder Selbständigkeit des Befragten und seinesPartners; Selbständige wurden gefragt: Anzahl der Beschäftigten;Gewerkschaftsmitgliedschaft; Einkommensquellen des Befragten(länderspezifisch), Haushaltseinkommen (länderspezifisch);Haushaltsgröße; Haushaltszusammensetzung; Parteipräferenz(links-rechts), länderspezifische Parteipräferenz; Wahlbeteiligung beider letzten Wahl; Konfession; Kirchgangshäufigkeit; Selbsteinstufungauf einer Oben-Unten-Skala; Region und Ortsgröße (länderspezifisch),Urbanisierungsgrad; Geburtsland und ethnische Herkunft.Zusätzlich verkodet wurde: Datenerhebungsart; Gewichtungsfaktoren.
Facebook
TwitterThis file assembles data from multiple sources on 256 countries and territories, and also aggregates this data globally and by 22 world regions. The file presents most of the data available on the ARDA National Profiles as of 2018 in a single downloadable dataset. Many of the measures are from the ARDA's coding of the 2008 US State Department's International Religious Freedom (IRF) Reports. This coding produced data on 198 different countries and territories (see the Summary file for the International Religious Freedom Data, 2008 for a list of countries coded, available for download from the ARDA), but excluded the United States. In addition, this project assembled (with permission) other cross-national measures of interest to researchers on religion, economics, and politics. They include adherent information from the World Christian Database, scales from Freedom House, the Religion and State Project, the Center for Systemic Peace, the Heritage Foundation, the Correlates of War Project, the Varieties of Democracy Project, the CIRI Human Rights Data Project, and various socio-economic measures from the United Nations, World Bank, and the CIA's World Factbook. The source of each variable in this dataset is acknowledged in the variable's description, except in the case of those variables generated by ARDA researchers' coding of the Department of State's IRF Reports.
Facebook
Twitterhttps://doi.org/10.17026/fp39-0x58https://doi.org/10.17026/fp39-0x58
This dataset contains the Arab-West Report special reports that were published in 2007. This dataset mainly contains the writings of Cornelis Hulsman, Drs., among other authors on topics related to Muslim- Christian relations and interfaith dialogue. Additionally, this dataset features certain reports related to the Christian faith in Egypt, Monastic life and Coptic traditions.Some of the articles address the media coverage of Muslim-Christian incidents and sectarian tensions, and how biased media reporting can often exacerbate existing tensions between groups. These articles feature a number of interviews conducted by Arab West Report with prominent social figures and scholars.Additionally, reports from this dataset discuss conversion cases and interfaith meetings that were held at the time. This dataset also contains media critique from Arab West Report Editor-in-Chief Cornelis Hulsman, Drs.Some of the themes that characterize this dataset include:- Authors report on their trip to see the celebration of the Holy Family crossing the Nile River in a village in Upper Egypt. They reflect on their experiences and the need to improve dialogue between Muslims and Christians in Egypt.- An overview of a forum organized by the Center for Civilizational Studies and Dialogue between Cultures at Cairo University to introduce a book written by Father Christian van Nispen, sj, entitled, ‘Christians and Muslims: Brothers before God.’ van Nispen’s principle argument is that both Muslims and Christians worship one and the same God, but according to different understandings.- Another report highlighted the second conference on bias, entitled: ‘The International Conference for Dialogue between Civilizations and the Different Tracks of Knowledge.’ The 4-day conference, was sponsored by the Program for Civilizational Studies and Dialogue between Cultures at Cairo University, and the International Institute of Islamic Thought.- The Arab West Report annual report: The Center for Arab-West Understanding presents its annual report for 2006.Media critique:- “Minister Of Awqaf Dr. Hamdi Zakzouk Falsely Accused Of Calling For The Death Penalty For Apostates From Islam”: Arab-West Report responds to media claims that Dr. Hamdi Zakzouk called for the death penalty for apostates from Islam.-In another report, the authors stress that misguided media reporting often only serves to further tensions, particularly in cases of sectarian strife. Another article presents the transcript of a lecture for the Arab Thought Forum. It considers media distortions and mis-representation in the media that only serve to further antagonize Muslim-Christian relations and the perception of Islam / the Arab world in the West. Cornelis Hulsman, Drs., explains the role of the Center for Arab West Understanding, and the importance of constructive, unbiased, and fully researched journalism.-Hulsman stressed in one of his articles that media frequently manipulate headlines in an effort to present stories in the context they desire. Headlines are also frequently sensationalized in an effort to attract a larger number of readers, but if this also distorts a story this should be questioned. Cornelis Hulsman, Drs., stresses the danger of ignorant media reporting, and the damage that inaccurate fact-checking can cause. He provides a number of examples from various intellectuals, commenting on stories that have been sensationalized in the media, and the negative effects this reporting had on Arab-West relations and on furthering dialogue between the Islamic and Arab world and the West.Interviews:-“An interview With Father Basilius About Father Matta Al-Maskin”: Father Basilius discusses the history and theological philosophies of Father Mattá al-Maskīn. The interview is mainly focused on theology and the practices of clergymen.- An interview with Tarek Heggy at CIDT where Drs. Cornelis Hulsman and staff members discuss sensitive issues throughout the Arab world.- An interview by AWR/ CIDT interns with Dr. Hala Mustafa, where she comments on her role in the National Democratic Party’s Policies Committee, her opinions on reform in Egypt, critiques the role of Egyptian security, and outlines the necessary steps needed for reform to take effect.- “Saad Eddin Ibrahim Meets With CIDT Interns To Discuss How Islamists Have Changed”: Saad Eddin Ibrahim, is one of the most outspoken critics of the Egyptian government, who was imprisoned from 2000-2003 for his critique. Saad Eddin Ibrahim is a liberal secularist, but as a result of his strong democratic stance, he defends the rights of all groups in society, including Islamists, to participate in the politics of the country. CIDT-interns met with him for a talk about his life and his views.-A review of the Annual Anglican-Al Azhar Interfaith Meeting Dialogue held in All-Saints Cathedral which implicitly dealt with dialogue and means of furthering it.-A report on church response to poverty in Egypt and specifically how this...
Facebook
TwitterThis file assembles data from multiple sources on 250 countries and territories, and also aggregates this data globally and by 22 world regions. The file presents most of the data available on the ARDA National Profiles as of August 2011 in a single downloadable dataset. Many of the measures are from the ARDA's coding of the 2008 US State Department's International Religious Freedom (IRF) Reports. This coding produced data on 198 different countries and territories (see the Summary file for the International Religious Freedom Data, 2008 for a list of countries coded, available for download from the ARDA), but excluded the United States. In addition, this project assembled (with permission) other cross-national measures of interest to researchers on religion, economics, and politics. They include adherent information from the World Christian Database, scales from Freedom House, the Religion and State Project, the Polity IV Project, the Heritage Foundation, the Correlates of War Project, and the CIRI Human Rights Data Project, and various socio-economic measures from the United Nations and the CIA's World Factbook. The source of each variable in this dataset is acknowledged in the variable's description, except in the case of those variables generated by ARDA researchers' coding of the Department of State's IRF Reports.
Facebook
TwitterMetadata for MammalDIET_v1.0A comprehensive global dataset of diet preferences of mammals (‘MammalDIET’). Diet information was digitized from the literature and extrapolated for species with missing information. The original and extrapolated data cover species-level diet information for >99% of all terrestrial mammals.MammalDIET_v1.0.txt
Facebook
TwitterThis item contains places of worship layer from OSM (OpenStreetMap) in India and contains information about Buddhist, Christian, Christian Anglican, Christian Catholic etc.OSM is a collaborative, open project to create a freely available and editable map of the world. Geographic information about streets, rivers, borders, points of interest and areas are collected worldwide and stored in a freely accessible database. Everyone can participate and contribute to OSM. The geographic information available on OSM relies entirely on volunteers or contributors.The attributes are given below:BuddhistChristianChristian AnglicanChristian CatholicChristian EvangelicalChristian LutheranChristian MethodistChristian OrthodoxChristian ProtestantHinduJewishMuslimMuslim ShiaMuslim SunniSikhTaoistThese map layers are offered by Esri India Content. If you have any questions or comments, please let us know via content@esri.in.
Facebook
TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
The S1S2-Water dataset is a global reference dataset for training, validation and testing of convolutional neural networks for semantic segmentation of surface water bodies in publicly available Sentinel-1 and Sentinel-2 satellite images. The dataset consists of 65 triplets of Sentinel-1 and Sentinel-2 images with quality checked binary water mask. Samples are drawn globally on the basis of the Sentinel-2 tile-grid (100 x 100 km) under consideration of pre-dominant landcover and availability of water bodies. Each sample is complemented with metadata and Digital Elevation Model (DEM) raster from the Copernicus DEM.
This work was supported by the German Federal Ministry of Education and Research (BMBF) through the project "Künstliche Intelligenz zur Analyse von Erdbeobachtungs- und Internetdaten zur Entscheidungsunterstützung im Katastrophenfall" (AIFER) under Grant 13N15525, and by the Helmholtz Artificial Intelligence Cooperation Unit through the project "AI for Near Real Time Satellite-based Flood Response" (AI4FLOOD) under Grant ZT-IPF-5-39.
Facebook
TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
SM2RAIN-Climate rainfall product is a new long-term global scale rainfall product developed by using the European Space Agency (ESA) Climate Change Initiative (CCI) soil moisture product v06.1 as input into the SM2RAIN algorithm (Brocca et al., 2014; 2019). The SM2RAIN-Climate global rainfall dataset is generated in the period 1998-2021 with monthly temporal and 1° spatial resolutions, which provide the opportunity for climatological studies.
Four different SM2RAIN-Climate datasets are provided in NetCDF format. For each dataset, the spatial grid (latitude and longitude), the rainfall values, and the mask type is defined in each NetCDF file. Two different masks are the temperature mask in data post-processing and a threshold value (percentage of missing data) taking into account missing data within a month. Depending on the application, the user can select the more suitable product.
Details on the dataset development is provided as:
Mosaffa, H., Filippucci, P., Massari, C., Ciabatta, L., & Brocca, L. (2023). SM2RAIN-Climate, a monthly global long-term rainfall dataset for climatological studies. Scientific Data, 10(1), 749. https://doi.org/10.1038/s41597-023-02654-6
Acknowledgements
The work is supported by the Open-Earth-Monitor Cyberinfrastructure project that has received funding from the European Union's Horizon Europe research and innovation programme (grant agreement no. 101059548) and by the European Space Agency through the Digital Twin Earth Hydrology project (grant no. ESA 4000129870/20/I-NB - CCN N. 1) and the 4DMED Hydrology project (grant no. ESA 4000136272/21/I-EF).
Facebook
TwitterRandom sampling : Two-stage stratified sample design
Facebook
TwitterTitle: Identifying Factors that Affect Entrepreneurs’ Use of Data Mining for Analytics Authors: Edward Matthew Dominica, Feylin Wijaya, Andrew Giovanni Winoto, Christian Conference: The 4th International Conference on Electrical, Computer, Communications, and Mechatronics Engineering https://www.iceccme.com/home
This dataset was created to support research focused on understanding the factors influencing entrepreneurs’ adoption of data mining techniques for business analytics. The dataset contains carefully curated data points that reflect entrepreneurial behaviors, decision-making criteria, and the role of data mining in enhancing business insights.
Researchers and practitioners can leverage this dataset to explore patterns, conduct statistical analyses, and build predictive models to gain a deeper understanding of entrepreneurial adoption of data mining.
Intended Use: This dataset is designed for research and academic purposes, especially in the fields of business analytics, entrepreneurship, and data mining. It is suitable for conducting exploratory data analysis, hypothesis testing, and model development.
Citation: If you use this dataset in your research or publication, please cite the paper presented at the ICECCME 2024 conference using the following format: Edward Matthew Dominica, Feylin Wijaya, Andrew Giovanni Winoto, Christian. Identifying Factors that Affect Entrepreneurs’ Use of Data Mining for Analytics. The 4th International Conference on Electrical, Computer, Communications, and Mechatronics Engineering (2024).
Facebook
TwitterNo description is available. Visit https://dataone.org/datasets/d0017adf1a9c4279b8e6948193ee1aa1 for complete metadata about this dataset.
Facebook
TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Appendix attached to Chapter 5 of the Ph.D. dissertation "The Holy Triad? Religion, Globalization, and Sustainable Development". Due to its length, this appendix is not included in the full text of the thesis.Dissertation's abstractThis thesis deals with development, globalization, and religion. These topics have so far largely been studied in isolation (and if studied often only in a qualitative sense and based on the assumption of unidirectional causation). This thesis demonstrates the interrelationships of development, globalization, and religion and highlights the heterogeneity of signs, sizes, and causal directions of the relationships. Since development, globalization, and religion have always been deeply rooted in human nature, their relations offer a complicated research puzzle. This is further complicated by the fact that globalization and (sustainable) development are multidimensional in nature and the fuzzy concept of (non)religion that to a large extent is subjective and based on self-reporting. The aim of the thesis therefore by necessity is modest; the research project tries to contribute four small pieces to the puzzle posed by development, globalization, and religion.The first puzzle piece relates to a significant gap in the History of Economic Thought on international trade that by and large neglects thinkers and authors of Ancient Asia. This puzzle piece is uncovered in Chapter 2 which, through traditional narrative reading, reviews and discusses the attitudes toward merchants and their commercial activities in five major philosophies of life in Ancient Asia (Vedic religion, Buddhism, Confucianism, Chinese Legalism, and Islam). Following Jacob Viner’s approach to analyze the impact of early Greek, Roman, and Christian thinking on trade the thesis analyses the attitudes toward merchants and their commercial activities (that serve as a proxy for the attitude toward trade and international trade). Within the context of religion and international trade, the chapter also reflects on the recent findings regarding the impact these five philosophies of life have on international economic relations and exchange. An important finding is the heterogeneity of these impacts (ranging from a very positive attitude in Islam to a consistently negative evaluation in Chinese legalism). The findings of this chapter serve as a source of inspiration for the remainder of the thesis that due to data availability focus on the contemporary empirical relevance of religion for globalization and sustainable development.The second puzzle piece is a first look at the empirical relation between religion and globalization, focusing on the direction of religion with the use of a Granger causality analysis and the Impulse-Response Functions of a set of Vector Auto Regression models. In a sense Chapter 3 expands the domain considered in Chapter 2, both in terms of dimension and scope, as it also analyzes believers versus non-believers (and particularly introduces Christianity and Atheism into its models) and because the analysis goes beyond international trade per se covering multidimensional aspects of globalization (economic, social, and political globalization as well as the legal distinction between de facto and de jure measures of globalization). Chapter 3 methodologically moves to quantitative analysis. Based on a sample of 159 countries in the period between 1990 and 2015, a Granger causality test of the relation between religion and globalization is performed that shows significant – so far not recognized – heterogeneities with respect to the direction, size, and significance of the relationship between multidimensional globalization and the seven categories of (non)religions.The third puzzle piece is a complicated one: the multidimensional concept. sustainable development. Chapter 4 deals empirically with the relation between globalization and sustainable development. A panel data set of 160 countries in the period between 1990 and 2018, is used to estimate 180 non-linear models. Importantly, the measures for globalization are on the whole significant both in a linear and in a quadratic form suggesting an inverted-U relationship between sustainable development and globalization. The underlying genuine effect and the variation in the estimates of these 180 regressions are analyzed by means of a self-meta-analysis, believed to be the first time this tool has been conducted in such a manner in empirical economic research.The last puzzle piece that this thesis contributes is an analysis of the direct and indirect effects that religion has on sustainable development. Chapter 5 is positioned in the center of the topics addressed in earlier chapters as it is surrounded by the three previous research puzzle pieces. A quantitative analysis estimates a system of four simultaneous equations that allows development, globalization, and religion to simultaneously affect each other under inter-correlated conditions. Based on a...
Facebook
TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
List of Christian denominations enrolled in the study and rate of condom recommendation. (DOCX)
Facebook
TwitterNo description is available. Visit https://dataone.org/datasets/d430518147204b7f05deb09fbd28afff for complete metadata about this dataset.
Facebook
TwitterNo description is available. Visit https://dataone.org/datasets/c80f6c38a1046b649f9fb6f40a85a0e9 for complete metadata about this dataset.
Facebook
TwitterBy Throwback Thursday [source]
The dataset includes data on Christianity, Islam, Judaism, Buddhism, Hinduism, Sikhism, Shintoism, Baha'i Faith, Taoism, Confucianism, Jainism and various other syncretic and animist religions. For each religion or denomination category, it provides both the total population count and the percentage representation in relation to the overall population.
Additionally, - Columns labeled with Population provide numeric values representing the total number of individuals belonging to a particular religion or denomination. - Columns labeled with Percent represent numerical values indicating the percentage of individuals belonging to a specific religion or denomination within a given population. - Columns that begin with ** indicate primary categories (e.g., Christianity), while columns that do not have this prefix refer to subcategories (e.g., Christianity - Roman Catholics).
In addition to providing precise data about specific religions or denominations globally throughout multiple years,this dataset also records information about geographical locations by including state or country names under StateNme.
This comprehensive dataset is valuable for researchers seeking information on global religious trends and can be used for analysis in fields such as sociology, anthropology studies cultural studies among others
Introduction:
Understanding the Columns:
Year: Represents the year in which the data was recorded.
StateNme: Represents the name of the state or country for which data is recorded.
Population: Represents the total population of individuals.
Total Religious: Represents the total percentage and population of individuals who identify as religious, regardless of specific religion.
Non Religious: Represents the percentage and population of individuals who identify as non-religious or atheists.
Identifying Specific Religions: The dataset includes columns for different religions such as Christianity, Judaism, Islam, Buddhism, Hinduism, etc. Each religion is further categorized into specific denominations or types within that religion (e.g., Roman Catholics within Christianity). You can find relevant information about these religions by focusing on specific columns related to each one.
Analyzing Percentages vs. Population: Some columns provide percentages while others provide actual population numbers for each category. Depending on your analysis requirement, you can choose either column type for your calculations and comparisons.
Accessing Historical Data: The dataset includes records from multiple years allowing you to analyze trends in religious populations over time. You can filter data based on specific years using Excel filters or programming languages like Python.
Filtering Data by State/Country: If you are interested in understanding religious populations in a particular state or country, use filters to focus on that region's data only.
Example - Extracting Information:
Let's say you want to analyze Hinduism's growth globally from 2000 onwards:
- Identify Relevant Columns:
- Year: to filter data from 2000 onwards.
Hindu - Total (Percent): to analyze the percentage of individuals identifying as Hindus globally.
Filter Data:
Set a filter on the Year column and select values greater than or equal to 2000.
Look for rows where Hindu - Total (Percent) has values.
Analyze Results: You can now visualize and calculate the growth of Hinduism worldwide after filtering out irrelevant data. Use statistical methods or graphical representations like line charts to understand trends over time.
Conclusion: This guide has provided you with an overview of how to use the Rel
- Comparing religious populations across different countries: With data available for different states and countries, this dataset allows for comparisons of religious populations across regions. Researchers can analyze how different religions are distributed geographically and compare their percentages or total populations across various locations.
- Studying the impact of historical events on religious demographics: Since the dataset includes records categorized by year, it can be used to study how historical events such as wars, migration, or political changes have influenced religious demographics over time. By comparing population numbers before and after specific events, resea...