This dataset complements the book by Gabriela Meier (University of Exeter, UK) and Simone Smala (University of Queensland, Australia):

Meier, G. & Smala, S. (2022). Languages and Social Cohesion: A Transdisciplinary Literature Review. Routledge. https://www.routledge.com/Languages-and-Social-Cohesion-A-Transdisciplinary-Literature-Review/Meier-Smala/p/book/9780367637200. Available from 26 July 2021.

The dataset of 285 references to peer-reviewed articles published in academic journals between 1992 and 2017 (identified systematically following the PRISMA protocol as is explained in the Chapter 3 of the book) is offered here as an EndNote Library to increase transparency and utility of the work we present, analyse and discuss in the book. It is designed to support researchers and other stakeholders to quickly and easily find literature related to themes and sub-themes, as well as by research design. The project described in the book had the aim to answer the question:

In what way are languages associated with social cohesion in academic articles?

As can be seen in the concluding chapter of the book (Chapter 5), this transdisciplinary literature review resulted in a transdisciplinary language and social cohesion framework, which is accompanied by user-friendly tools that can be used to explore the language-and-social cohesion constellation in diverse real-life contexts.

The EndNote Library available here presents the results of our systematic literature search and thematic analysis, which formed the basis of our analysis, discussion and interpretation of the data. In the EndNote Library, the articles are sorted by research design (qualitative, quantitative, and mixed method research, theory articles, case studies, practice reports and literature reviews). Importantly, the EndNote Library is also sorted by the main themes (see below) and respective sub-themes, which correspond to the themes discussed in the book.

Main themes in the book (headings used in the EndNote Library):

A: Social networks and access to resources through languages (social networks and resources) B: Norms related to languages and groups (ideological orientations) C: Languages and a sense of group belonging (belonging to groups) D: Manifestation of linguistic behaviour and social cohesion (practices in education/society) E: Formal language planning and social cohesion (policy and curricula)

The German Library Statistics (DBS) is the national statistics of the German library system and contains statistical key figures. It includes public libraries, scientific libraries, as well as specialized scientific libraries. More information can be found at DBS. This dataset contains the following information on scientific libraries in Bavaria in 2021: Total expenditure, total expenditure, including: Expenditure on printed books, total expenditure, including: Expenditure on current printed periodicals and newspapers, access: printed books, stock: purchased, continuously held, printed magazines and newspapers Note: Due to the pandemic, the data for the reporting years 2020/2021/2022 are only comparable to a limited extent with those of previous years!

The German Library Statistics (DBS) is the national statistics of the German library system and contains statistical key figures. It includes public libraries, scientific libraries, as well as specialized scientific libraries. More information can be found at DBS. This dataset contains the following information on scientific libraries in Bavaria 2006: Total expenditure, total expenditure, including: Expenditure on printed books, total expenditure, including: Expenditure on current printed periodicals and newspapers, access: printed books, stock: purchased, continuously held, printed magazines and newspapers

A collection of over 75 charts and maps presenting key statistics on the farm sector, food spending and prices, food security, rural communities, the interaction of agriculture and natural resources, and more.

How much do you know about food and agriculture? What about rural America or conservation? ERS has assembled more than 75 charts and maps covering key information about the farm and food sectors, including agricultural markets and trade, farm income, food prices and consumption, food security, rural economies, and the interaction of agriculture and natural resources.

How much, for example, do agriculture and related industries contribute to U.S. gross domestic product? Which commodities are the leading agricultural exports? How much of the food dollar goes to farmers? How do job earnings in rural areas compare with metro areas? How much of the Nation’s water is used by agriculture? These are among the statistics covered in this collection of charts and maps—with accompanying text—divided into the nine section titles.

Data extracted from the user, event and group profile for delegates in the 9th R users conference in Spain

Invited talk given by Tim Evans (Imperial College London) at the EPSRC Workshop on "Scaling in Social Systems” held at the Saïd Business School, Oxford on 1st December 2011. Abstract:

The pattern of innovation seen through citations of academic papers has long fascinated academics. It has been known for at least fifty years that the data shows various long tailed distributions. In this talk I will look at some of the features of the data and show how to extract some simple universal patterns. I will discuss some of the implications of the results and some of the further questions it raises. •What is a citation? •What does an individual citation mean? •Is the data perfect? •Why citation count? •If not citation count, what else? •What does this data say about me? •Why h-index? •What is a self-citation? •How else can I use this data? •How will things change?

Tim S. Evans – Mini Biography Tim studied the mixture of quantum field theory and statistical physics in his PhD at Imperial College London. He was supervised by Prof. Ray Rivers who also supervised another speaker, Prof. Luis Bettencourt. Tim then spent time as a researcher at the University of Alberta in Edmonton Canada, before returning to research positions back here at Imperial, latterly as a Royal Society University Research Fellow. He was appointed to a lectureship at Imperial in 1997. Around 2003 he expanded his work on statistical physics to cover at problems in complexity, with a particular interest in network methods. This has included participation in an EU collaboration with social scientists on innovation, ―ISCOM, run in part by Prof. Geoff West (another speaker today). This fuelled his interest in social science applications and started an on going collaboration with an archaeologist.

This dataset provides bibliographical information for 571 English language sociological research articles that empirically study actors' expectations, aspirations and perceptions of the future. This text corpus is the basis for an analysis published in "Beckert and Suckert, 2020, The Future as A Social Fact. The Analysis of Perceptions of the Future in Sociology, In: Poetics, online first".

These data show the aggregation at the nation-nation level of co-occurrences of authorship of scientific papers. The data are in excel as a matrix with resulting cells indicating the number of times these two country names appear in the same article. The original data are from ISI Web of Science. The year represented is 2011. The data complement an article being published in PLoS ONE, "The Continuing Growth of Global Cooperation Networks in Research: A conundrum for national governments"

Dataset

This dataset was created by Sabrina Biondi

Contents

The following datasets are associated to the paper the "Social Fingerprints of Unemployment" Llorente A, Garcia-Herranz M, Cebrian M, Moro E (2015) Social Media Fingerprints ofUnemployment. PLoS ONE 10(5): e0128692. doi: 10.1371/journal.pone.0128692 http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0128692

Description of the files in this folder This folder contains two (2) filesTij.csvtable_municipalities.csv

Tij.csvThis files contains the matrix Tij, i.e. the total number of trips between different municipalities in our database. The file has four columnsi -> the municipality origin id of the tripsj -> the municipality destination id of the tripsTij -> the number of trips between i and j (symmetric)dij -> the distance between municipalities table_municipalities.csvThis files contains the demographic, unemployment and Twitter variables for each of the municipalities considered. The file has 16 columnsid -> the official id of the municipalitypobTOT -> total population of the municipality (as of Jan 2013)pobACT -> total active (employable) population of the municipalitypobUNEMP -> total population unemployed in the municipalitypobACTYOUNG -> total active young (below 25 years) population of the municipalitypobUNEMPYOUNG -> total young (below 25 years) population unemployed in the municipalityntwsTOT -> total number of tweets geolocalized in the municipalityntwsWDAY -> total number of tweets from Monday to Friday (working days) in the municipalityS-geo -> Geographical Entropy of the trips from/to the municipalityS-social -> Social Entropy of the communications fromt/to the municipalitynusers -> Total number of users with "home" in the municipality (see paper text)morning -> Total number of tweets between 8-10am during working days in the municipalityafternoon -> Total number of tweets between 3-5pm during working days in the municipalitynight -> Total number of tweets between 12-3am during working days in the municipalitynmiss -> Total number of misspellers in the municipalityemp -> Total number of tweets mentioning "employment"

Id's of the municipalities correspond with the official id's athttp://www.ine.es/daco/daco42/codmun/codmun10/10codmunmapa.htm

The construction of the Swedish CDB and the data collection followed a template developed within the GGP. The template provided detailed guidelines for the collection, preparation, and documentation of the indicators. The database covers 16 main areas: Demography, Economy and Social Aspects, Labour and Employment, Parental Leave, Pension, Childcare, Military, Unemployment, Tax Benefits, Housing, Legal Aspects, Education, Health, Elderly Care, Politics, Culture. Each of these main domains contains more detailed indicators at the national or subregional (Riskområde NUTS2) level. In total, there are 243 indicators. Many of these indicators were calculated using Swedish Register Data. These indicators were not available in publicly accessible statistics and the Swedish CDB is thus currently the only database to provide them. The Swedish CDB offers a rich and unique set of time-series indicators at the national and subregional level.

Data on national minorities

This study contains script files to create teaching versions of Understanding Society: Waves 1-3, the new UK household panel survey. Specifically, the user can focus on individual waves, or can create a panel survey dataset for use in teaching undergraduates and postgraduates. Core areas of focus are attitudes to voting and political parties, to the environment, and to ethnicity and migration. Script files are available for SPSS, STATA and R. Individuals wishing to make use of this resource will need to apply separately to the UK data archive for access to the original datasets: http://discover.ukdataservice.ac.uk/catalogue/?sn=6614 &type=Data%20catalogue

'Dataset2' associated with: Who Tweets with Their Location? Understanding the Relationship Between Demographic Characteristics and the Use of Geoservices and Geotagging on Twitter

Luke Sloan and Jeffrey Morgan.

Reflecting growing emphasis on data analysis and statistical thinking in the information age, mathematics curriculum standards in the U.S. have recently increased expectations for student learning in the domain of statistics and probability. More than 180 teachers in 36 public school districts in Florida applied for a two-week summer institute designed to increase teachers’ content and pedagogical content knowledge in statistics and probability. Individual teachers were assigned at random to a treatment or business-as-usual comparison group. The two-week institute increased teachers’ knowledge of statistics. Data analyses identified an interaction between years of teaching experience and treatment, indicating that the teachers with more than 10 years of experience had larger knowledge gains than their less-experienced peers. These results underscore the need for professional development for teachers so that they may implement policies emphasizing this branch of the mathematical sciences in the secondary mathematics curriculum. Given the observed lower baseline knowledge scores for teachers with more years of teaching experience, we posit these implications are particularly applicable to teachers who completed their own formal education more than 10 years ago.

A dataset that explores Green Card sponsorship trends, salary data, and employer insights for sociology and applied statistics in the U.S.

Data analysed in Alis et al., "Quantifying regional differences in the length of Twitter messages" Fields ------tweet id: retrieve tweet by passing this id to the REST APImlen: length of message, in characterswlen: length of message, in wordsmratio: proportion of message

Replication for the paper "Preferring National Elites or Local Candidates: A Conjoint Analysis of Voter Heuristics". See the README file for additional information

Comprehensive dataset containing 59 verified Department of Sociology locations in United States with complete contact information, ratings, reviews, and location data.

This dataset is about books. It has 1 row and is filtered where the book is Data in sociology. It features 7 columns including author, publication date, language, and book publisher.