1 Data Download
The cleaned, de-identified datasets from the NetSense study are available for open academic research. All files have been programmatically scrubbed of sensitive personal identifiers (including student names, email addresses, NetIDs, and raw telephone numbers).
1.2 Perceived Alter-to-Alter Network Ties
Dyadic edge list capturing all perceived acquaintance ties between nominated alters within each participant’s personal network across Waves 1–5, 7, and 8 (\(N = 29,473\) perceived ties).
Alter-Alter Ties (.csv, 1.4 MB) Alter-Alter Ties (.rds, 180 KB) Alter-Alter Ties (.dta, 2.1 MB)
Perceived alter-to-alter tie data was deliberately omitted from the Wave 6 (Summer 2013) survey instrument to reduce respondent burden during summer break. Full alter-to-alter batteries were reinstated in Waves 7 and 8.
1.3 Ego-Network Structural Metrics
Longitudinal summary panel (\(N = 804\) ego-waves) tracking personal network size (\(k\)), potential alter pairs (\(\binom{k}{2}\)), reported ties, and personal network density / local clustering coefficients.
Ego Metrics (.csv, 42 KB) Ego Metrics (.rds, 10 KB) Ego Metrics (.dta, 85 KB)
1.4 Longitudinal Demographic & Behavioral Surveys
Wide individual-level panel (\(N = 203\) students, 1,556 variables) tracking demographic backgrounds, Big Five personality inventories, GPAs, lifestyles, sleep habits, musical tastes, and activities across Waves 1–6.
CSV Dataset (.csv, 2.7 MB) R Dataset (.rds, 280 KB) Stata Dataset (.dta, 6.2 MB)
1.5 High-Frequency Quiz Responses (Master)
High-frequency survey check-ins across semesters (\(N = 194\) students, 146 variables) measuring student emotional well-being, health, and campus engagement.
Quiz CSV (.csv, 65 KB) Quiz Stata (.dta, 320 KB)
1.6 Longitudinal Communication Ego Networks (Calls & SMS)
De-identified dyadic communication panel tracking phone calls and text messages across 158 continuous academic weeks (2011–2014, \(N = 383,895\) dyad-week interaction records). Captures communication volumes with both enrolled study peers and outside alters (family, high school friends, etc.) using consistent, irreversible salted pseudonyms.
Dyadic Communication Panel:
Compressed Dyadic Panel (.csv.gz, 2.7 MB) Dyadic Panel (.csv, 11 MB) R Dataset (.rds, 1.8 MB) Stata Dataset (.dta, 12 MB)
Ego-Level Weekly Summary Metrics:
Longitudinal summary metrics (\(N = 19,598\) ego-weeks) tracking active indegree, outdegree, total SMS inflow/outflow, and total voice call inflow/outflow per participant week.
Ego Weekly Metrics (.csv, 860 KB) R Dataset (.rds, 270 KB) Stata Dataset (.dta, 1.0 MB)
1.7 Longitudinal Email Ego Networks
De-identified longitudinal email interaction panel tracking sent and received emails across 158 study weeks (\(N = 676,717\) dyad-week interaction records from over 1 million parsed emails). Email addresses are completely pseudonymized via salted cryptographic hashes and classified into Notre Dame peer/individual, personal webmail, campus listservs, and automated commercial notifications.
Dyadic Email Panel:
Compressed Dyadic Email Panel (.csv.gz, 3.7 MB) Dyadic Email Panel (.csv, 33 MB) R Dataset (.rds, 3.3 MB) Stata Dataset (.dta, 57 MB)
Ego-Level Weekly Summary Metrics:
Weekly summary metrics (\(N = 14,320\) ego-weeks) tracking interpersonal email degree, person-to-person email volumes, Notre Dame peer emails, campus course/club listserv emails, and automated commercial emails.
Ego Weekly Email Metrics (.csv, 520 KB) R Dataset (.rds, 140 KB) Stata Dataset (.dta, 1.3 MB)
1.8 Address Book Ego Networks & Contact Dynamics
Standardized longitudinal datasets derived from periodic smartphone address book snapshots (Weeks 37 to 192, spanning 2012–2015). Tracks address book size, contact acquisition rates, and dyadic retention.
Dyadic Saved-Contacts Roster:
Dyadic panel (\(N = 30,802\) saved ego-alter pairs) tracking every person saved in participants’ phone address books, their earliest observed week, last observed week, and total weeks retained in the phone. Fully cross-referenced with communication alter pseudonyms.
Compressed Contacts Roster (.csv.gz, 215 KB) Contacts Roster (.csv, 940 KB) R Dataset (.rds, 220 KB) Stata Dataset (.dta, 1.6 MB)
Ego-Level Weekly Address Book Metrics:
Longitudinal summary metrics (\(N = 6,384\) ego-weeks) tracking total address book size (total_contacts_in_phone), number of enrolled study peers saved (study_peers_saved), outside contacts saved (external_contacts_saved), and rate of adding new contacts (new_contacts_added).
Ego Contact Metrics (.csv, 205 KB) R Dataset (.rds, 45 KB) Stata Dataset (.dta, 450 KB)
1.9 Academic Performance & Classroom Co-Enrollment Networks
Official registrar academic performance records, term-by-term GPAs, and shared classroom course co-enrollment dyads across participants’ four-year college trajectories (2011–2015).
Course Letter Grades & Credits:
Longitudinal course enrollment records (\(N = 5,779\)) tracking semester course enrollments, course reference numbers (CRNs), official registrar letter grades, numeric grade points (4.0 scale), and AP/transfer credit flags across freshman through senior years.
Course Grades (.csv, 330 KB) R Dataset (.rds, 32 KB) Stata Dataset (.dta, 450 KB)
Classroom Course Co-Enrollment Dyads:
Dyadic network panel (\(N = 979\) shared course dyads) identifying which NetSense students shared the exact same course sections and classroom lectures each semester.
Classroom Dyads (.csv, 54 KB) R Dataset (.rds, 6 KB) Stata Dataset (.dta, 70 KB)
Semester-by-Semester GPA Summary:
Student-by-term summary panel (\(N = 898\) student-semesters) tracking courses enrolled, courses passed, and term Grade Point Average (GPA) across all terms.
Term GPA Summary (.csv, 49 KB) R Dataset (.rds, 5 KB) Stata Dataset (.dta, 80 KB)
1.10 Longitudinal Spatial Mobility & Campus Zones
De-identified longitudinal spatial mobility and campus zone panels (\(N = 16,144\) ego-weeks across 188 students) extracted from over 11.5 million passive location fixes across study weeks 7 to 192 (2011–2015). Raw coordinates are completely scrubbed and converted into weekly mobility indicators and coarse categorical zone distributions.
Spatial Mobility Indicators:
Longitudinal panel tracking weekly radius of gyration (\(r_g\) in km), spatial mobility entropy (bits), normalized entropy (\(0.0\) to \(1.0\)), time on Notre Dame campus percentage, distinct locations visited count, and peak distance from campus.
Compressed Mobility (.csv.gz, 321 KB) Spatial Mobility (.csv, 895 KB) R Dataset (.rds, 294 KB) Stata Dataset (.dta, 1.4 MB)
Categorical Campus Zones:
Longitudinal panel tracking percentage of weekly time allocated across 6 coarse campus and geographic zones (Dorm, Academic Buildings, Library, Athletic Facilities, Off-Campus / South Bend, Traveling / Away) and primary frequented zone.
Compressed Campus Zones (.csv.gz, 222 KB) Campus Zones (.csv, 1.0 MB) R Dataset (.rds, 193 KB) Stata Dataset (.dta, 1.8 MB)
1.11 Physical Proximity Networks (Bluetooth)
Aggregated undirected weekly contact networks (\(N = 267,629\) dyad-weeks) based on over 10.9 million high-resolution Bluetooth proximity pings across academic weeks 8 through 191 (spanning all four undergraduate years: 2011–2015).
Compressed Contact Networks (.csv.gz, 2.3 MB) Contact Networks (.csv, 8.7 MB) R Dataset (.rds, 2.0 MB) Stata Dataset (.dta, 15 MB) Bluetooth-to-EgoID Key (.csv, 3 KB)
1.12 Variable Catalog & Mapping Dictionaries
Comprehensive machine-readable dictionary covering all survey variables, survey questions, and response value labels.
Full Variable Catalog (.csv, 450 KB) Dorm Distances Matrix (.csv, 2 KB) Semester Dates (.csv, 1 KB)