Telecommunications datasets

Network data, customer usage, billing

  • 101 ready-made datasets
  • 8 formats, Excel to Parquet
  • First download free
What the 101 cover1 square = 1 dataset
  • Towers & sustainability26
  • Network performance23
  • Call & usage records16
  • Customers & billing14
  • Spectrum & radio13
  • Outages & faults9
Grouped by dataset title and tags.

101 datasets · page 2 of 5

Showing all 24 on this page

Network performance

Wi-Fi Hotspot and Public Access Network Performance

Channel utilization, client counts, authentication methods, throughput

This dataset provides detailed performance metrics for Wi-Fi hotspots and public access networks, including channel utilization, client counts, authentication methods, throughput, roaming, and offload success rates. It enables comprehensive analysis of network quality, user experience, and infrastructure capabilities across various locations and network types.

18 cols

  • network_type
  • authentication_hotspot_2_0
  • ssid
  • location_name
  • +14
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network_type
carrier_wifi
authentication_hotspot_2_0
true
ssid
TELCO_WIFI_01

Network performance

DNS Query Performance and Resolution Times

Query rates, resolution times, cache efficiency, DNSSEC validation

This dataset provides granular DNS resolver performance metrics across carrier infrastructures, including query rates, resolution times, cache efficiency, DNSSEC validation, anycast routing, and DDoS attack detection. It enables network operators, security analysts, and researchers to monitor, benchmark, and optimize DNS services while identifying security threats and performance bottlenecks.

16 cols

  • average_resolution_time_ms
  • qps
  • cache_hit_ratio
  • nxdomain_response_count
  • +12
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average_resolution_time_ms
6.4
qps
512.1
cache_hit_ratio
0.97

Network performance

IP Transport and Backhaul Network Performance

Performance metrics for IP/MPLS transport networks supporting mobile backhaul

This dataset provides granular, time-stamped performance metrics for IP/MPLS transport networks supporting mobile backhaul and fronthaul. It includes link utilization, latency, jitter, packet loss, MPLS LSP availability, DWDM optical power levels, and BGP route convergence, making it ideal for network reliability analysis, troubleshooting, and capacity planning in telecommunications environments.

19 cols

  • network_segment
  • link_name
  • mpls_lsp_availability
  • link_utilization_percent
  • +15
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network_segment
backhaul
link_name
NYC-BK-Fiber01
mpls_lsp_availability
99.8

Network performance

Packet Core Gateway Throughput and Capacity Metrics

Throughput, session counts, setup rates, packet loss, latency

This dataset provides granular, timestamped performance metrics for 4G (PGW/SGW) and 5G (UPF) packet core gateways, including throughput, session counts, setup rates, packet loss, latency, resource utilization, and tunneling efficiency. It enables network operators and engineers to monitor user plane performance, optimize capacity, and troubleshoot issues across multiple gateway types and locations.

14 cols

  • gateway_type
  • total_throughput_gbps
  • packet_loss_percent
  • location
  • +10
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gateway_type
PGW
total_throughput_gbps
14.67
packet_loss_percent
0.07

Network performance

Core Network Signaling and Session Management KPIs

KPIs for core mobile network signaling and session management, covering MME

This dataset provides granular KPIs for core mobile network signaling and session management, covering MME, AMF, and SMF functions. It includes attach rates, session establishment success, interface load, and GTP tunnel metrics, enabling operators to monitor, optimize, and troubleshoot network performance across regions and time periods.

23 cols

  • network_function
  • pdn_pdu_session_attempts
  • pdn_pdu_session_successes
  • pdn_pdu_session_success_rate
  • +19
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network_function
MME
pdn_pdu_session_attempts
24100
pdn_pdu_session_successes
24050

Spectrum & radioTop 10 most opened

Radio Access Network (RAN) Key Performance Indicators (KPIs)

Signal quality, throughput, resource utilization, handover

This dataset provides comprehensive cell-level and base station KPIs for 4G and 5G radio access networks, including signal quality, throughput, resource utilization, handover and RACH success rates, call drop rates, and coverage hole detection. It enables granular performance monitoring, troubleshooting, and optimization of mobile networks across regions and vendors.

25 cols

  • technology
  • site_name
  • cell_name
  • cell_sector
  • +21
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technology
5G
site_name
Downtown_Hub
cell_name
Downtown_Hub_Sector1

Call & usage records

Rich Communication Services (RCS) Message Records

Rich Communication Services (RCS) messages

This dataset provides comprehensive records of Rich Communication Services (RCS) messages, capturing details on group chats, file transfers, read receipts, typing indicators, location sharing, and interoperability with OTT apps. It enables deep analysis of next-generation messaging usage, network performance, and user engagement trends for telecom operators and service providers.

21 cols

  • message_type
  • message_content
  • rcs_profile_version
  • timestamp_sent
  • +17
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message_type
text
message_content
Morning! How are you?
rcs_profile_version
UP2.4

Call & usage records

IoT/M2M Device Data Usage Records

Session identifiers, eSIM details, LPWAN technology types

This dataset provides detailed records of IoT and machine-to-machine device data sessions, including session identifiers, eSIM details, LPWAN technology types, transmission metrics, device sleep cycles, and fleet management attributes. It enables comprehensive analysis of device connectivity, operational efficiency, and fleet performance, supporting diagnostics, optimization, and predictive maintenance for large-scale IoT deployments.

18 cols

  • device_location_latitude
  • device_location_longitude
  • technology_type
  • session_start_time
  • +14
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device_location_latitude
40.7128
device_location_longitude
-74.006
technology_type
NB-IoT

Call & usage records

Prepaid Real-Time Charging (OCS/OFCS)

Balance deductions, quota management, session terminations

This dataset provides comprehensive records of prepaid subscribers' real-time charging sessions, including balance deductions, quota management, session terminations, recharge transactions, and detailed Diameter protocol messaging. It enables granular analysis of subscriber behavior, charging system performance, and network operations, making it invaluable for telecom billing, fraud detection, and regulatory compliance.

20 cols

  • session_start_time
  • session_end_time
  • recharge_time
  • diameter_request_time
  • +16
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charging_result
success
service_type
data
quota_allocated
500

Call & usage recordsTop 10 most opened

Roaming CDR and TAP/RAP File Processing

Detailed call, SMS, and data usage, associated TAP3 file information

This dataset provides comprehensive records of international mobile roaming events, including detailed call, SMS, and data usage, associated TAP3 file information, inter-operator tariff pricing, wholesale settlement status, and fraud detection flags. It enables telecom operators and partners to analyze roaming traffic, automate settlement, detect fraud, and optimize tariffs for cross-border mobile services.

22 cols

  • tap_file_type
  • file_received_datetime
  • subscriber_imsi
  • subscriber_msisdn
  • +18
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tap_file_type
TAP
subscriber_imsi
310410123456789
subscriber_msisdn
12025550101

Call & usage records

5G Charging Data Records (CHF/NCHF)

5G Standalone charging data records, capturing detailed session, subscriber

This dataset provides comprehensive 5G Standalone charging data records, capturing detailed session, subscriber, and network slice information for converged online/offline charging, edge computing usage, and seamless session continuity across Radio Access Technologies. It is ideal for billing analytics, network slice monetization, and operational optimization in next-generation telecom networks.

20 cols

  • charging_type
  • charging_function
  • charge_amount
  • charging_event_type
  • +16
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charging_type
converged
charging_function
CHF
charge_amount
154.62

Call & usage records

Mobile Data Session Records (PGW-CDR/SGW-CDR)

Session timing, data volume, subscriber identifiers, network quality

This dataset provides granular records of mobile data sessions from 4G LTE and 5G networks, including session timing, data volume, subscriber identifiers, network quality, and detected application/service types. It is ideal for telecom analytics, network optimization, billing, and user behavior studies, offering deep insights into mobile data usage patterns and service performance.

15 cols

  • session_start_time
  • session_end_time
  • session_duration_seconds
  • apn
  • +11
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session_duration_seconds
1800
apn
internet.mnc001.mcc310.gprs
qci
1

Call & usage records

SMS/MMS Messaging Detail Records (xDR)

Sender and recipient addresses, timestamps, routing information

This dataset provides detailed records of SMS and MMS messaging events, including sender and recipient addresses, timestamps, routing information, delivery status, message size, and classification as A2P or P2P. It enables comprehensive analysis of messaging traffic, delivery performance, and network operations for telecommunications providers and messaging platforms.

14 cols

  • message_type
  • message_size_bytes
  • message_subject
  • message_content_type
  • +10
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message_type
SMS
message_size_bytes
145
timestamp_sent
2024-06-04T09:12:37Z

Call & usage recordsTop 10 most opened

Voice Call Detail Records (CDR) - Circuit Switched

Subscriber identifiers, device information, call timings

This dataset provides comprehensive voice call detail records from legacy 2G/3G telecommunications networks, including subscriber identifiers, device information, call timings, cell tower locations, call termination causes, and detailed billing charges. It is ideal for telecom billing, fraud detection, network optimization, and regulatory compliance analysis.

21 cols

  • call_start_time
  • call_end_time
  • call_duration_seconds
  • call_termination_cause
  • +17
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call_duration_seconds
265
call_termination_cause
normal
call_direction
outgoing

Customers & billing

Network Capacity Planning and Utilization Forecasting

Real-time utilization, traffic growth trends, capacity thresholds

This dataset provides a detailed view of network capacity management, including real-time utilization, traffic growth trends, capacity thresholds, expansion project tracking, investment prioritization, and a 5-year capacity roadmap for network elements. It enables telecom operators and network planners to forecast demand, prioritize upgrades, and optimize capital expenditure, supporting both operational efficiency and strategic planning.

22 cols

  • network_element_name
  • current_capacity_gbps
  • current_utilization_gbps
  • utilization_percent
  • +18
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network_element_name
NYC_Core_Router_01
current_capacity_gbps
8000
current_utilization_gbps
7200

Customers & billing

Service Activation and Provisioning Lead Times

Bottlenecks such as site surveys, permits, and installation

This dataset provides detailed metrics on service order fulfillment, tracking every step from order placement to activation, including bottlenecks such as site surveys, permits, and installation. It enables analysis of lead times, on-time delivery rates, expedited orders, and identifies opportunities for process automation, making it ideal for improving operational efficiency in service delivery organizations.

24 cols

  • order_to_activation_time_days
  • provisioning_steps_completed
  • provisioning_steps_total
  • activation_date
  • +20
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order_to_activation_time_days
0.29
provisioning_steps_completed
2
provisioning_steps_total
2

Outages & faults

Network Performance Degradation and Quality Issues

Network performance degradation events

This dataset provides granular records of network performance degradation events, capturing details such as event type, severity, affected KPIs, user impact, and resolution status. It enables telecom operators to analyze quality issues, correlate degradations with network metrics, and improve service reliability through actionable insights.

20 cols

  • network_segment_type
  • event_type
  • event_start_time
  • event_end_time
  • +16
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network_segment_type
backbone
event_type
congestion
severity_level
critical

Outages & faults

Network Outage Events and Root Cause Analysis

Timing, affected services, geographic impact, customer impact

This dataset provides detailed records of major network outage events, including timing, affected services, geographic impact, customer impact, root cause analysis, and post-incident reviews. It enables comprehensive incident tracking, root cause identification, and operational improvement for telecommunications networks. Ideal for reliability analytics, regulatory reporting, and service quality enhancement.

15 cols

  • outage_start_time
  • outage_end_time
  • root_cause
  • root_cause_details
  • +11
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root_cause
fiber cut
affected_voice
true
affected_data
true

Customers & billing

Service Level Agreement (SLA) Compliance and Reporting

Detailed metrics on service availability, latency, packet loss, jitter

This dataset provides comprehensive SLA performance tracking for enterprise customers, including detailed metrics on service availability, latency, packet loss, jitter, incident response, and SLA credits issued. It enables organizations to monitor compliance, identify trends, and generate monthly or quarterly reports for contractual and operational transparency.

21 cols

  • service_name
  • report_period_start
  • report_period_end
  • report_frequency
  • +17
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service_name
Global VPN
report_period_start
2024-01-01
report_period_end
2024-01-31

Outages & faults

Trouble Ticket Management and Resolution Tracking

Trouble tickets from creation to closure, detailing issue types, priorities

This dataset provides a comprehensive record of trouble tickets from creation to closure, detailing issue types, priorities, team assignments, resolution times, SLA compliance, root causes, and preventive actions. It enables robust tracking of network or service incidents, supports operational analytics, and facilitates continuous improvement in incident management processes.

13 cols

  • resolution_time_hours
  • created_datetime
  • closed_datetime
  • issue_category
  • +9
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resolution_time_hours
5.87
issue_category
outage
priority
critical

Outages & faultsTop 10 most opened

Network Element Alarms and Fault Management

Severity, type, affected equipment, timestamps, root cause analysis

This dataset provides real-time, structured records of network element alarms and fault management events, including severity, type, affected equipment, timestamps, root cause analysis, and alarm correlations for automated troubleshooting. It enables proactive network monitoring, rapid incident response, and advanced analytics for reliability and performance optimization.

11 cols

  • alarm_type
  • network_element_type
  • correlated_alarm_ids
  • severity
  • +7
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alarm_type
hardware failure
network_element_type
router
correlated_alarm_ids
ALM003,ALM023

Network performance

SD-WAN and SASE Architecture Performance

Timestamped metrics on SD-WAN and SASE architecture performance

This dataset provides detailed, timestamped metrics on SD-WAN and SASE architecture performance, covering underlay and overlay network characteristics, application steering policies, path selection algorithms, security service chaining, and cloud on-ramp latency. It enables comprehensive analysis of network health, security posture, and cloud connectivity, supporting operational optimization and strategic planning for modern enterprise networks.

21 cols

  • measurement_datetime
  • underlay_type
  • underlay_latency_ms
  • underlay_jitter_ms
  • +17
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underlay_type
MPLS
underlay_latency_ms
11.2
underlay_jitter_ms
1.1

Network performance

Network Traffic Analytics and Flow Data (NetFlow/IPFIX)

Network flow analytics, capturing source and destination details, protocols

This dataset provides comprehensive network flow analytics, capturing source and destination details, protocols, traffic volumes, flow durations, and autonomous system numbers. It includes traffic classification and anomaly detection flags, making it ideal for network monitoring, security analysis, and performance optimization across enterprise and service provider environments.

19 cols

  • traffic_classification
  • flow_direction
  • timestamp_start
  • timestamp_end
  • +15
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traffic_classification
web
flow_direction
outbound
timestamp_start
2024-06-04T09:15:23Z

Network performance

IP Address Management (IPAM) and Allocation

Management records for IPv4 and IPv6 address space, covering global

This dataset provides detailed management records for IPv4 and IPv6 address space, covering global and regional allocations, service assignments, subnet planning, utilization metrics, and DHCP lease activity. It enables network teams to track address usage, plan for IPv6 deployment, and optimize resource allocation across mobile, broadband, and enterprise services.

17 cols

  • allocation_type
  • allocated_to
  • allocation_date
  • ip_version
  • +13
Open in factory
allocation_type
RIR
allocated_to
Telecom North America
ip_version
IPv4

What’s inside. Column by column.

Columns and codes found in the sample rows of all 101 telecommunications datasets.

Most common columnsDatasets, of 101
  1. site_name18
  2. site_id16
  3. last_updated12
  4. country9
  5. customer_id8
  6. device_id8
  7. device_type8
  8. operator_name8
  9. service_type8
Standard codes in the sample rowsDatasets, of 101
  1. ISO 3166 countries41
  2. ISO 4217 currencies6
  3. IMEI devices3

Not quite what you need? Describe it.

One sentence in. A dataset with that pattern out.

  • 3+ drops: churn 2×
  • Real handset models
  • 2% duplicate accounts
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Churn rate by dropped calls
0%10%20%6%0 drops8%1–216%3+1
Sample rows for: Mobile subscribers where customers with 3 or more dropped calls a month churn twice as often, with real handset models and 2% duplicate accounts.
dropped_callshandsetplanchurned
4iPhone 14Unlimitedyes
0Galaxy S2320GBno
5Pixel 7Unlimitedyes
5Pixel 7Unlimitedyes

A pattern you asked for Everything else

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