Online dating services have increased in popularity around the world, but a lack of quality data hinders our understanding of their role in family formation. This paper studies the effect of online dating services on marital sorting, using a novel dataset with verified information on people and their spouses. Estimates based on matching techniques suggest that, relative to other spouse search methods, online dating promotes marriages that exhibit weaker sorting along occupation and geographical proximity but stronger sorting along education and other demographic traits. Sensitivity analysis, including the Rosenbaum Bounds approach, suggests that online dating's impact on marital sorting is robust to potential selection bias.

Description of the dataset

Most people seek to establish romantic or intimate relationships in life, including people with mental health problems. However, this has been a neglected topic in mental health practice and research. This study aimed to investigate views of mental health and social care staff about the appropriateness of helping service users with romantic relationships, barriers to doing this, and suggestions for useful ways to support this. An online survey comprising both closed, multiple response and free-text questions was circulated to mental health organisations across the U.K. via social media, professional networks and use of snowballing sampling. A total of 63 responses were received. Quantitative data were analysed using descriptive statistics, and are reported as frequencies and percentages. Qualitative data were interpreted using thematic analysis, using an inductive approach. Although most participants reported that ‘finding a relationship’ conversations were appropriate in their job role, many barriers to supporting service users were identified, including: a lack of training; concerns about professional boundaries; concerns about service user capacity and vulnerability; and concerns about being intrusive. Participant suggestions for future support included educating service users on safe dating behaviours, and practical interventions such as assisting service users to use dating sites and engage with social activities to develop social skills and meet others. Staff were willing to help service users seek an intimate relationship but may need specific training or guidance to facilitate this confidently and safely. This study elucidates the need for further research in this area, particularly in understanding service user perspectives, and in developing resources to support staff in this work.

BackgroundUniversity campus clinics provide crucial sexual health services to students, including STI/HIV screening, testing, contraception, and counseling. These clinics are essential for engaging young adults who may lack access to primary care or have difficulty reaching off-campus services. Dating apps are widely used by young adults, yet there is a lack of studies on how they affect sexual practices. This study aimed to evaluate the use of dating apps, engagement in condomless sexual activity, and the prevalence of STIs among young adult college students in Northern Texas.MethodsA cross-sectional survey was conducted from August to December 2022 among undergraduate and graduate students aged 18–35 at a large university in Northern Texas. A total of 122 eligible participants completed the survey, which assessed demographics, sexual behaviors, dating app use, and STI/HIV testing practices. Descriptive statistics, bivariate analyses, and multivariate Poisson regression analyses with robust variance were performed to identify factors associated with dating app use and condomless sexual activity.ResultsTwo-thirds of participants reported using dating apps. Significant differences were found between app users and non-users regarding demographic factors and unprotected sexual behaviors. Dating app users were more likely to report multiple sexual partners, inconsistent condom use, and a higher likelihood of engaging in unprotected sex. Poisson regression analysis indicated that app use was associated with residing in large urban areas, frequent use of campus STI/HIV screening services, and having multiple sexual partners (p 

This dataset includes all requests for service received from the City-Parish 311 Call Center, including requests for service submitted online and through the Red Stick 311 mobile application, dating back to January 1, 2016. Submitter names, phone numbers, and e-mail addresses are redacted for privacy purposes. Data is updated daily from the Public Works Business Office and 311 Call Center. Phone numbers are redacted to protect the contact information and privacy of citizens by replacing raw digits with XXX-XXX-XXXX. For any questions about this process, please contact opendata@brgov.com.

This dataset is about book subjects, has 3 rows. and is filtered where the books includes Buying travel services on the Internet. It features 10 columns including book subject, number of authors, number of books, earliest publication date, and latest publication date. The preview is ordered by number of books (descending).

This dataset contains data from the experiment and python code for the project titled “Love or politics? Political views regarding the war in Ukraine in an online dating experiment”.

Paper abstract: How polarized is Russian society regarding the war in Ukraine? Political views have an impact on various behaviors, including relationship formation. In this paper I study the extent of polarization in the Russian society regrading the war in Ukraine by conducting a field experiment on a large Russian dating site and collecting data on more than 3,000 profile evaluations. The findings reveal sizable penalties for those who express pro-war or anti-war positions on their dating profiles, suggesting considerable levels of polarization in the Russian society regarding the war. Age of the online dating site users is the most divisive factor, as younger individuals are less likely to approach pro-war profiles but not anti-war profiles, while older individuals are less likely to respond positively to profiles indicating anti-war views but not pro-war views.

The experiment was conducted in October - November, 2022, on a large online dating site in Russia in three Russian regions: Moscow, Saint Petersburg, and Sverdlovskaya oblast. There are three separate data files, one for each region. Each file contains information on male dating site users that have been liked by and/or have viewed the experimental female profiles. The description is available at https://mpra.ub.uni-muenchen.de/118862/ . The folder also contains python code for data analysis.

This competition involves advertisement data provided by BuzzCity Pte. Ltd. BuzzCity is a global mobile advertising network that has millions of consumers around the world on mobile phones and devices. In Q1 2012, over 45 billion ad banners were delivered across the BuzzCity network consisting of more than 10,000 publisher sites which reach an average of over 300 million unique users per month. The number of smartphones active on the network has also grown significantly. Smartphones now account for more than 32% phones that are served advertisements across the BuzzCity network. The "raw" data used in this competition has two types: publisher database and click database, both provided in CSV format. The publisher database records the publisher's (aka partner's) profile and comprises several fields:

publisherid - Unique identifier of a publisher. Bankaccount - Bank account associated with a publisher (may be empty) address - Mailing address of a publisher (obfuscated; may be empty) status - Label of a publisher, which can be the following: "OK" - Publishers whom BuzzCity deems as having healthy traffic (or those who slipped their detection mechanisms) "Observation" - Publishers who may have just started their traffic or their traffic statistics deviates from system wide average. BuzzCity does not have any conclusive stand with these publishers yet "Fraud" - Publishers who are deemed as fraudulent with clear proof. Buzzcity suspends their accounts and their earnings will not be paid

On the other hand, the click database records the click traffics and has several fields:

id - Unique identifier of a particular click numericip - Public IP address of a clicker/visitor deviceua - Phone model used by a clicker/visitor publisherid - Unique identifier of a publisher adscampaignid - Unique identifier of a given advertisement campaign usercountry - Country from which the surfer is clicktime - Timestamp of a given click (in YYYY-MM-DD format) publisherchannel - Publisher's channel type, which can be the following: ad - Adult sites co - Community es - Entertainment and lifestyle gd - Glamour and dating in - Information mc - Mobile content pp - Premium portal se - Search, portal, services referredurl - URL where the ad banners were clicked (obfuscated; may be empty). More details about the HTTP Referer protocol can be found in this article. Related Publication: R. J. Oentaryo, E.-P. Lim, M. Finegold, D. Lo, F.-D. Zhu, C. Phua, E.-Y. Cheu, G.-E. Yap, K. Sim, M. N. Nguyen, K. Perera, B. Neupane, M. Faisal, Z.-Y. Aung, W. L. Woon, W. Chen, D. Patel, and D. Berrar. (2014). Detecting click fraud in online advertising: A data mining approach, Journal of Machine Learning Research, 15, 99-140.

This dataset is about book subjects, has 3 rows. and is filtered where the books includes Web services & SOA : principles and technology. It features 10 columns including book subject, number of authors, number of books, earliest publication date, and latest publication date. The preview is ordered by number of books (descending).

This dataset is about book subjects. It has 4 rows and is filtered where the books is Building RESTful web services with .NET Core : developing distributed web services to improve scalability with .NET Core 2.0 and ASP.NET Core 2.0. It features 4 columns: authors, books, and publication dates.

This dataset is about book subjects. It has 5 rows and is filtered where the books is Database-driven web sites. It features 10 columns including number of authors, number of books, earliest publication date, and latest publication date.

This dataset contains match statistics from FACEIT, an online matchmaking service for Counter-Strike 2 (CS2). The data has been collected via the FACEIT API* (see below) and preprocessed for machine learning applications focused on predicting match outcomes based on team average player performance history and elo. Use win_prediciton_clean or join each excel file data_win_prediction_#.xlsx (excel files are not clean and contain duplicates/non-competitive maps).

Dataset Details: - Observations: 9,651 matches - response: win - team that one the given match (a or b) - match ID - the id given by FACEIT for the match played, can be used to pull additional match data from API.*

Features: - Average Win Percentage (for the given map) - Average ELO (team skill rating) - Average Kills per Round (K/R Ratio)

Also attached is notebooks used to pull data, feature engineering, and model tuning. The highest predictive accuracy I was able to get was 77.11% ± 0.84 using CNN.

*If you'd like to pull data from FACEIT API, you need an authorization token from FACEIT, you can get more information at https://docs.faceit.com/.

This dataset is about book subjects, has 2 rows and is filtered where the books is Back to the user : creating user-focused web sites. It features 2 columns: book subject, and publication dates. The preview is ordered by number of books (descending).

This dataset is about book subjects. It has 3 rows and is filtered where the books is The Scottish Web directory : over 10,000 household names & official websites. It features 10 columns including number of authors, number of books, earliest publication date, and latest publication date.

This dataset is about book subjects. It has 6 rows and is filtered where the books is The joy of Dreamweaver MX : recipes for data-driven Web sites. It features 10 columns including number of authors, number of books, earliest publication date, and latest publication date.

This dataset is about book subjects, has 2 rows and is filtered where the books is MCAD/MCSD : Visual Basic.NET XML Web services and server component study guide. It features 10 columns including book subject, number of authors, number of books, earliest publication date, and latest publication date. The preview is ordered by number of books (descending).

This dataset is about book subjects. It has 1 row and is filtered where the books is Publicising your Web site : how to get you Web site listed in search engines and directories. It features 10 columns including number of authors, number of books, earliest publication date, and latest publication date.

This dataset is about book series. It has 1 row and is filtered where the books is Creating competitive advantage with commercial web sites. It features 10 columns including number of authors, number of books, earliest publication date, and latest publication date.

This dataset is about book subjects. It has 1 row and is filtered where the books is Pimp my site : your DIY guide to SEO, search marketing, social media and online PR. It features 10 columns including number of authors, number of books, earliest publication date, and latest publication date.

The 10Be data set includes the geographic position and elevation of the analyzed samples and the detailed analytical results including the blank correction, the correction for geological inheritance, and the final 10Be concentrations (atoms/gram) used to calculate the 10Be exposure ages.