The University of Alaska Fairbanks (UAF) Alaska Hydrokinetic Energy Research Center was tasked with developing a real-time data telemetry / remote power generation system to monitor frazil ice conditions in the Kvichak River in support of the U.S. Department of Energy funded "Next Generation MHK River Power System Optimized for Performance, Durability and Survivability" project. A real-time telemetry system was requested because of the short time span between the end of the frazil ice season when the instruments would be recovered, limited vessel availability and the project end-date. To meet the project objectives, UAF designed and assembled a remote power/real-time data telemetry system that included an auto start propane generator, a small PV array, a small battery bank and line-of-sight radios as well as two sonar systems to monitor river velocity and water column acoustic backscatter strength. Both sonars included internal batteries for powering the instruments in case of failure of the shore based power system. The sonars, deployed in ~5 m of water on the bed of the Kvichak River, adjacent to the Village of Igiugig, Alaska were tethered to shore via a waterproof armored cable that conveyed power to the subsurface instruments and data from the instruments to the shore based telemetry system. The instruments were programmed to record data internally as well as to transmit data serially over the cables to the shore based system. The system was in-place between November, 2016 and June, 2017. While the real-time data telemetry system was not successful and the remote power generation power system was only partially successful, the system design included sufficient redundant power in the form of internal instrument batteries to enable the collection of nearly three months of overlapping velocity and backscatter data (from November through February) and a record of acoustic backscatter strength spanning the entire ~150 day frazil ice season between November, 2016 and ~April, 2017. This submission includes the overwinter ice study plan, dataset, and final report. The dataset includes modeled water velocity, discharge, and measured water velocity and acoustic backscatter strength in winter 2016-17 from the Kvichak River at the Village of Igiugig, Alaska, USA.

Realtime alerts at either the stop, trip, or service line level in GTFS-realtime format for Bus, Train, Ferry, Light Rail, Metro and Coaches.

Stop time updates for active trips, replacement vehicles, and changed stopping patterns in GTFS-realtime format for Buses, Ferries, Light Rail, Trains, Metro and Regional Bus Services (our regional services are at times referenced as "TCB" - Transport Connected Bus). An up to date list of all TCB services can be found [on the forum](https://opendataforum.transport.nsw.gov.au/t/new-real-time-regional-bus-data-is-now-available/2060).

Stop time updates for active trips, replacement vehicles, and changed stopping patterns in GTFS-realtime format for Metro and Sydney Trains.

Current vehicle positions in GTFS-realtime format for Buses, Ferries, Light Rail, Trains, Metro and Regional Bus Services (our regional services are at times referenced as "TCB" - Transport Connected Bus). An up to date list of all TCB services can be found [on the forum](https://opendataforum.transport.nsw.gov.au/t/new-real-time-regional-bus-data-is-now-available/2060).

Current vehicle positions in GTFS-realtime format for Metro and Sydney Trains.

Reference tables for TfNSW data. A complete list of agencies and how they are defined in each GTFS feed. **Using Complete GTFS + Real-Time GTFS feeds** The reference tables illustrates agencies that appear in multiple GTFS feeds. If you are using the Complete GTFS bundle in conjuction with the real-time GTFS feeds for each mode then you will need to filter out the Complete GTFS agencies and use the corresponding real-time agencies. **Train Run Numbers** The list of trips in the reference tables represent services that appear in both the Sydney Trains real-time feed and NSW Trains rural and regional real-time feed. If you are using both feeds, TfNSW recommends filtering out these services from the Sydney Trains feed and preferentially using the NSW Trains feed.