Despite the fundamental importance of American local governments for service provision in areas like education and public health, local policy-making remains difficult and expensive to study at scale due to a lack of centralized data. This article introduces LocalView , the largest existing dataset of real-time local government public meetings – the central policy-making process in local government. In sum, the dataset currently covers 139,616 videos and their corresponding textual and audio transcripts of local government meetings publicly uploaded to YouTube – the world’s largest public video-sharing website – from 1,012 places and 2,861 distinct governments across the United States between 2006-2022. The data are processed, downloaded, cleaned, and publicly disseminated (at localview.net) for analysis across places and over time. We validate this dataset using a variety of methods and demonstrate how it can be used to map local governments’ attention to policy areas of interest. Finally, we discuss how LocalView may be used by journalists, academics, and other users for understanding how local communities deliberate crucial policy questions on topics including climate change, public health, and immigration.

This is an Active Citation data project. Active Citation is a precursor approach toAnnotation for Transparent Inquiry (ATI). It has now been converted to the ATI format. The annotated article can be viewed on the publisher's website. Project Summary This project develops and tests a new theory to explain left-right polarization in newer democracies, emphasizing the quality of governance and how it shapes incentives for radical parties to moderate. High-quality governance increases the relative salience of left-right programmatic appeals and makes coalitions with status quo parties attractive, creating centripetal incentives for radical parties and empowering moderate factions within those parties. Low-quality governance decreases the relative salience of left-right programmatic appeals and makes coalitions with status quo parties potentially poisonous, creating centrifugal incentives for radical parties and empowering extremist factions. The project employs a nested research design. Case studies of Venezuela and Brazil illustrate the mechanisms of the theory and evaluate its key propositions through process-tracing. These cases were selected because they capture significant variation on the dependent variable, because they are seen as particularly critical for understanding subjects such as the rise of the left in Latin America and the dynamics of programmatic polarization, and because they were the first three countries in the region where the left came to power. In the large-n portion of the research design, statistical analysis is utilized to assess the relationship between governance levels and left-right programmatic polarization across Latin America between 1994 and 2010. This relationship is substantively strong and robust to a variety of different modeling choices. Data Abstract The author primarily draws upon two original databases of qualitative materials collected for the project: a collection of roughly 500 “left party-related” sources (party documents, editorials and memoirs of left party leaders, etc.) and a compilation of roughly 900 news sources related to left parties and their factional conflicts. The data were collected from 2008 and 2013 and cover the period from 1985 and 2010. The “left party-related” sources were gathered through archives and libraries. A substantial archive of documents related to the Partido Dos Trabalhadores is housed at the Fundação Perseu Abramo, in Sao Paolo, Brazil. The University of Notre Dame acquired a microfilm copy of this entire archive (93 reels). The author examined the whole archive at Notre Dame, searching for documents and other information that bore directly on the concerns of the project. Because in Venezuela no central archive existed for the left parties involved, the author collated party-related documents and other information from diverse sources, mainly relatively rare books (usually published in Venezuela with small presses) that collected these documents. The database of news articles was generated in the following manner. For each country a newspaper or weekly magazine was selected that was known to provide in-depth political coverage from a relatively centrist perspective: El Universal in Venezuela and Folha de Sao Paulo in Brazil. The author then defined the time period for each case during which major factional conflicts within left parties occurred and were resolved: 1993-1998 in Venezuela and 1994-2002 in Brazil. The next step was to collect all stories from each news source in the defined time period that related to left parties, with an emphasis on their factional conflicts and its resolution. The process of doing so differed somewhat according to the medium in which the news source was available. Venezuela’s El Universal was only available on microfilm, requiring the author and a research assistant to review each daily issue, capturing stories to PDF according to defined criteria. Brazil’s Folha’s archives are available online, allowing its database to be searched by sets of key words, downloading the group of stories produced by these searches, and then including the individual stories in the database according to defined criteria. The interviews the author conducted as part of the broader project are not being shared at this time, but might be included in a planned second deposit to QDR of a larger stand-alone data collection. Files Description Each case study for which data are being shared contains a two-stage causal argument: (1) governance levels decisively affected factional dynamics within the major left party of that country; (2) the resolution of factional conflict bore strongly on the level of polarization in the emerging party system. For each case, each stage of this argument is supported by several pieces of diagnostic evidence original to the project – both party-related and news sources – that were either scanned (if available only in hard copy) or printed to PDF (if available on microfilm or the Web). The...

Stata dataset of 2,118 Lobbying Disclosure Act reports from 574 organizations active on the 2014 Farm Bill. Data originally collected and coded by the Center for Responsive Politics. Includes name of organization, dollar amount of reported expenses, number of lobbyists, lobbyists with previous government experiences (revolving door), description of issue, sector and industry of organization, and topic codes (created by author).The Excel file includes lobbying scores for each organization in the data set (n=574). Scores are based on a Principal Components Analysis of resources devoted to lobbying. There are separate worksheets for the overall ranking and by topic.The associated Stata do-file includes commands to replicate the ranking of organizations (overall and by topic).

The main library currently holds more than 160,000 old books and documents. Since 2007, it has received funding from the Ministry of Education to carry out a digital archiving project, completing the construction of the "Full-Text Image System of Books from the Japanese Colonial Period" and the "Full-Text Image System of Journals from the Japanese Colonial Period."The library houses publications from various administrative agencies such as the Taiwan Provincial Governor's Office and the Taiwan Provincial Government, with materials related to politics and economics from the post-war period to the 1960s holding significant research value. In 2014, in order to facilitate use and preserve the original documents, a digitalization project was carried out, integrating the digitized data from the Japanese colonial period related to Taiwan's politics and economics to establish the "Taiwan Political and Economic Information Database" for online access by the public.

This article discusses the judicialization of politics in the fight against Covid-19 in Brazil. We analyzed whether the pattern of judicialization of politics verified in the pandemic is new or, on the contrary, repeats that verified in the 90s and early 00s, characterized by the political use of the Judiciary by opposition parties and by favoring federative centralization. The results demonstrate that the previous pattern remains, in terms of who mobilizes the Judiciary, but with different results in terms of federative conflict: in cases of judicial review of acts related to confronting the pandemic, the president loses more than he gains in the STF. However, in cases unrelated to the sanitary measures to combat Covid-19, it is not yet possible to affirm the existence of a new decision-making pattern.

Database on Party Membership Figures

Principal Investigator: Emilie van Haute

Funding: FNRS (http://www.frs-fnrs.be)

Coverage:

Period: 1946-2014

Countries: Australia, Austria, Belgium, Brazil, Canada, Croatia, Cyprus, Czech Republic, Denmark, Estonia, Finland, France, Germany, Hungary, Iceland, Ireland, Israel, Italy, Lithuania, Mexico, the Netherlands, Norway, Poland, Portugal, Romania, Slovakia, Slovenia, Spain, Sweden, Switzerland, the United Kingdom

Spatial Units: National level

Unit of analysis: Parties

Unit of observation: Number of party members (M) per party per year

This dataset contains cash and in-kind contributions, (including unpaid loans) made to Washington State Candidates and Political Committees for the last 10 years as reported to the PDC on forms C3, C4, Schedule C and their electronic filing equivalents. It does not include loans which have been paid or forgiven, pledges or any expenditures. For candidates, the number of years is determined by the year of the election, not necessarily the year the contribution was reported. For political committees, the number of years is determined by the calendar year of the reporting period. Candidates and political committees choosing to file under "mini reporting" are not included in this dataset. See WAC 390-16-105 for information regarding eligibility. This dataset is a best-effort by the PDC to provide a complete set of records as described herewith and may contain incomplete or incorrect information. The PDC provides access to the original reports for the purpose of record verification. Descriptions attached to this dataset do not constitute legal definitions; please consult RCW 42.17A and WAC Title 390 for legal definitions and additional information political finance disclosure requirements. CONDITION OF RELEASE: This publication constitutes a list of individuals prepared by the Washington State Public Disclosure Commission and may not be used for commercial purposes. This list is provided on the condition and with the understanding that the persons receiving it agree to this statutorily imposed limitation on its use. See RCW 42.56.070(9) and AGO 1975 No. 15.

Abstract This article analyzes the nature of political polarization in Brazil by applying multiple techniques to increase the robustness of the results. A political polarization index was developed from 1989 to 2019 based on statistical techniques for macro-level data analysis and using questions about positive and negative party sentiment of the Workers' Party (PT). The results indicate that there is affective and dynamic political polarization, structured by periods of more convergence and more divergence. The feelings of petism (pro-PT partisanship) and anti-petism (anti-PT sentiment) produce political polarization, so that the antagonism between the two camps (petistas and anti-petistas) grows over time. This article sparks a debate on political polarization in Latin America from the perspective of macro politics.

The Digitalisation in Parties (DIGIPART) dataset (v.1) comprises information on party digitalisation features from 72 parties across five major European countries: Germany, Italy, France, Spain, and the United Kingdom. Compared to the initial version (v.0), which included data from 62 parties, version 1.1 of the DIGIPART dataset has been expanded to include new data on additional regional parties within these countries (n=76).

The dataset, stored in Excel format (xlsx) along with a codebook, captures information and evidence from various parties, collected and coded between July 2021 and September 2022.

Despite numerous studies examining the influence of digital technologies on political parties, a comprehensive comparative analysis of parties' responses to digitalisation remains scarce. The DIGIPART dataset aims to address this gap by mapping and analysing parties' digitalisation efforts.

DIGIPART includes fundamental data for identifying units of analysis, such as COUNTRY_ID and COUNTRY codes following Eurostat conventions, PARTY_ID codes, party acronyms, party names in English, year of foundation, ideology based on the Chapel Hill Experts Survey, election year, percentage of votes, and share of MPs in the national parliament's Lower Chamber. Vote and MP data are sourced from the Parlgov database or press sources for parties not covered in Parlgov.

Structured according to Fitzpatrick’s Five Pillar model, with adaptations for alternative digital democracy conceptions, the dataset provides insights into six main dimensions of party functions and activities: elections (EL), deliberation (DEL), participation (PART), resources (SOURCE), and communication (COM). Each dimension features several dichotomously coded indicators: 0 for no evidence of digital activity, 1 for evidence, and a dot (.) for controversial evidence or when none is found. Overall, the dataset offers specific information on 23 indicators, making it the most comprehensive account of party digitalisation to date.

A listing of campaign contributions for candidates for City office during the 2013 election cycle

United States US: Government Effectiveness: Estimate data was reported at 1.554 NA in 2017. This records an increase from the previous number of 1.477 NA for 2016. United States US: Government Effectiveness: Estimate data is updated yearly, averaging 1.554 NA from Dec 1996 (Median) to 2017, with 19 observations. The data reached an all-time high of 1.803 NA in 2000 and a record low of 1.464 NA in 2015. United States US: Government Effectiveness: Estimate data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s United States – Table US.World Bank.WGI: Country Governance Indicators. Government Effectiveness captures perceptions of the quality of public services, the quality of the civil service and the degree of its independence from political pressures, the quality of policy formulation and implementation, and the credibility of the government's commitment to such policies. Estimate gives the country's score on the aggregate indicator, in units of a standard normal distribution, i.e. ranging from approximately -2.5 to 2.5.

Gain a Competitive Edge in the US Government Contracting Landscape with Cosmic Link Data

Empower your business development and government contracting efforts with Cosmic Link Data, the premier source for comprehensive and verified data on US government contractors.

What Makes Our Data Unique?

Verified & Up-to-Date: Our data undergoes rigorous verification processes, ensuring accuracy and reliability.

Real-Time & Historical: Make informed decisions with the latest data feeds, complemented by 60 days of historical data for trend analysis.

Granular Insights: Dive deep into B2B company profiles, NAICS codes, equipment utilized, industries served, certifications, SAM registration status, and precise geolocation for targeted outreach.

How is the Data Sourced?

We cultivate a multi-source approach, combining verified B2B information, industry directories, government databases, and supplier self-reported data. This comprehensive strategy guarantees the most accurate and current picture of the US government contracting landscape.

Primary Use Cases and Verticals:

Business Development: Identify and target qualified government contractors for potential partnerships and collaborations.

Government Contracting: Streamline your bidding process by pinpointing contractors with the specific capabilities and certifications required for government projects.

Cosmic Link Data as Part of Your Broader Strategy:

This data product seamlessly integrates with our broader US manufacturing data offerings. This allows you to gain a holistic view of the entire ecosystem, from raw materials and components to finished goods and distribution channels, with a specific focus on government contracting capabilities.

By leveraging Cosmic Link Data, you can:

Shorten sales cycles: Identify the right leads faster and increase your win rates on government contracts.

Optimize resource allocation: Focus your resources on the most promising opportunities.

Gain a competitive edge: Make data-driven decisions and confidently navigate the dynamic world of US government contracting.

This is the replication data for "Introducing the International Treaty Ratification Votes Database", written for FPA by Falk Ostermann and Wolfgang Wagner. The article uses data from the International Treaty Ratification Votes Database (ITRVD) and the related Parliamentary Deployment Votes Database (PDVD) Project that can be found under www.deploymentvotewatch.eu. The ITRVD data has been collected by a larger consortium of international colleagues and can be retrieved in its entirety from the webpage, including further documentation.

This dataset symbolizes city, county, town, parish, village, or other general-purpose political subdivisions of a State. The term "Unit of General Local Government" refers to a city, county, town, parish, village, or other general-purpose political subdivision of a State. Units of General Local Government (UGLG) are comprised of several Census geographies including: Summary Level 050 - State-County; Summary Level 060 - County Subdivision; Summary Level 070 - State-County-County Subdivision-Place/Remainder; Summary Level 160 - Place; Summary Level 170 - State-Consolidate City; Remainders of County Lands.

This database, sourced from the Brazilian Chamber of Deputies, provides a comprehensive collection of voting records on legislative matters for all deputies. It covers the period from 2019 to 2022, corresponding to the 56th legislative term.

• The Chamber of Deputies is composed of 513 federal deputies.
• Federal deputies are affiliated with different political parties, representing different ideologies, proposals, and interests (approximately 30 parties in Brazil).
• Each party or coalition can appoint substitutes to occupy the position of a deputy in case of vacancy.
• The mandate of a federal deputy lasts four years.
• Ordinary Deliberative Sessions: These are common and frequent plenary sessions where deliberation and voting on legislative matters take place.
• Extraordinary Deliberative Sessions: These are convened to address urgent and relevant issues outside the regular period of ordinary sessions.
• Favorable Vote: The deputy expresses support for the matter under discussion, wishing for its approval.
• Contrary Vote: The deputy expresses opposition to the matter under discussion, seeking its rejection.
• Abstention: The deputy decides not to take a position either in favor or against the matter being voted on, remaining neutral.
• Obstruction: Parliamentarians use procedural resources to make it difficult or delay the voting on a matter.

This is replication data for Skipping Politics: Measuring Avoidance of Political Content in Social Media. It consists of a readme file, the data file, and syntax for all analysis.

The state of Pará in northern Brazil is located entirely within the Amazon Basin and harbors a great diversity of landscape and vegetation types that support high levels of biodiversity. Here, we provide a comprehensive inventory of ant species and their distribution in Pará. This regional list is based on an extensive review of species records from published and unpublished sources covering a period of 134 years (1886–2020) and includes the five most representative ant collections in Brazil. In total, we documented 12 subfamilies, 90 genera and 753 ant species, including 97 species recorded for the first time in Pará and 12 species newly reported in Brazil. Sampling effort across the state is highly uneven, and most records may be associated with research areas near the state capital, mining areas, hydroelectric dams, and research field stations run by the state or universities. In addition, our results suggest a strong bias in ant collection in Pará in terms of proximity of sampled sites to access routes, such as roads and rivers. We also found that species records were highly unevenly distributed based on areas of endemism within the Amazon, vegetation type, and protected areas within the state. Ant surveys are still lacking from most protected areas of Pará, and further sampling is urgently needed in view of the current trend of expansion of major infrastructure projects and natural resource harvesting within protected areas of Pará. Our database represents an extremely valuable and rich source of information for further studies on ant biodiversity and conservation in the Amazon Basin.

Figures 1 and 2 in the paper were constructed with this data set.

• Entries for English-Spanish: Scientific research & mathematical sciences (906 entries), Geosciences (10,215), Computer science, electronics & telecommunications (70,580), Industry (47,578), Transport & Maintenance (12,291), Economy (145,572), Biological sciences (38,989), Communication & media (8,143), Chemical & physical sciences (27,467). * Entries for English-French-German-Spanish: Environment (36,658), Health (66,727), Agriculture & food (25,975), Construction & public works (8,429), Law & policy (56,578), Sports & Leisure (17,312) * Two specialized lexicons: Spanish-English and English-French-German without domain codes: electronics, telematics, law, taxes, customs, etc. (550,000 entries). * Two general lexicons: Spanish-English-French-German and Spanish-English-French-German-Portuguese-Italian (83,000 entries).This terminological database contains, for each domain, a sub-domain indication is given (from 2 sub-domains for Scientific research to 39 for Sports & leisure). Each entry consists of a definition, phraseological unit, abbreviation, usage information, grammatical labels. Format: ASCII

Iran IR: Government Effectiveness: Estimate data was reported at -0.191 NA in 2017. This records a decrease from the previous number of -0.185 NA for 2016. Iran IR: Government Effectiveness: Estimate data is updated yearly, averaging -0.492 NA from Dec 1996 (Median) to 2017, with 19 observations. The data reached an all-time high of -0.185 NA in 2016 and a record low of -0.677 NA in 2013. Iran IR: Government Effectiveness: Estimate data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Iran – Table IR.World Bank.WGI: Country Governance Indicators. Government Effectiveness captures perceptions of the quality of public services, the quality of the civil service and the degree of its independence from political pressures, the quality of policy formulation and implementation, and the credibility of the government's commitment to such policies. Estimate gives the country's score on the aggregate indicator, in units of a standard normal distribution, i.e. ranging from approximately -2.5 to 2.5.