菜单
Use when searching for new real-time or near-real-time open data sources worldwide that could be added to this repo. Covers domain taxonomy, search strategies, protocol fitness, freshness probing, and candidate ranking.
用 Codex 或 Claude 帮你安装 复制这段 Prompt，粘贴到 Codex、Claude 或其他助手里，让它检查 Skill 页面并帮你完成安装。
基于 SOC 职业分类
Use when adding AMQP 1.0 transport to a feeder in this repo — either alongside an existing Kafka/MQTT feeder or for a brand-new source. Covers generic AMQP brokers (RabbitMQ AMQP 1.0 plugin, ActiveMQ Artemis, Qpid Dispatch) via SASL PLAIN, Azure Service Bus / Event Hubs via Entra ID (AMQP CBS put-token, no SAS-key minting), xRegistry AMQP endpoint and messagegroup pattern, the `--azure_cbs_target` xrcg generator switch, two-app folder layout sharing a core acquisition module, Dockerfile.amqp, ARM template for Service Bus, and CI matrix integration. Pegelonline is the reference implementation.
Use when packaging or finishing a source for merge in this repo. Covers Dockerfile patterns, CONTAINER.md authoring, Azure Container Instance templates, mandatory KQL schema script generation + KQL Optimizer review, optional Fabric assets, EVENTS.md generation, and repo-level delivery checks including Docker E2E validation.
Use when performing end-to-end deployment validation of sources in this repo. Validates that data flows from upstream APIs through containers/notebooks into Event Hubs (Azure) or KQL databases (Fabric), and that Maps/Dashboards render live data. Covers per-source Azure ACI validation, Fabric notebook validation, KQL row verification, Map layer data checks, issue filing, and cleanup.
Use when adding MQTT/Unified-Namespace transport to a feeder in this repo — either alongside an existing Kafka feeder (transport split) or for a brand-new source where MQTT is the primary fit. Covers UNS topic-tree design, xRegistry MQTT messagegroup pattern, paho-mqtt v5 binary-mode CloudEvent emission, Entra JWT enhanced auth for Event Grid namespace brokers, two-app folder layout sharing a core acquisition module, Dockerfile.mqtt + dedicated pyproject, two MQTT ARM templates (BYO broker + Event Grid namespace), the read-only test-client registration helper, MQTT Docker E2E, and the four-button portal/README update. NOTE: AMQP 1.0 transport is MANDATORY alongside MQTT — see `.github/skills/amqp-feeder/SKILL.md` and the 'Mandatory AMQP Companion' section below.
Use when implementing the runtime bridge (feeder) for a source in this repo. Covers pollers, websocket or MQTT clients, raw TCP decoders, family-aware normalization, generated producer wiring, state and dedupe logic, source-local testing, mandatory KQL schema generation and KQL Optimizer review, mandatory expert review of the contract and generated schemas, and the Fabric notebook hosting option for poll-based sources (both new sources and retrofits of already-shipped sources).
Use when planning or adding a new real-time source in this repo. Covers mandatory upstream docs and field review, required JSON Structure Core and extension-spec study for schema work, repo fit, transport choice, event-family scoping, folder layout, and sequencing xreg, runtime, container, and documentation work.
| name | find-real-time-sources |
| description | Use when searching for new real-time or near-real-time open data sources worldwide that could be added to this repo. Covers domain taxonomy, search strategies, protocol fitness, freshness probing, and candidate ranking. |
| argument-hint | Describe the domain of interest (e.g. hydrology, maritime, aviation, seismic), the geographic region or 'global', and any constraints on protocol, auth, or update frequency. |
A source is a strong candidate when it satisfies most of these:
Use these as search anchors. Each domain lists the kinds of entities and measurements that are typical, plus the government or institutional bodies that tend to publish the data. Domains are grouped into tiers by current repo coverage.
These domains already have at least one bridge in the repo. Search within them to expand geographic or thematic coverage.
Entities: river gauges, reservoirs, groundwater wells, water quality stations Measurements: water level, discharge/flow, temperature, conductivity, turbidity Typical publishers: national hydrological services, environment agencies, water authorities Protocols: REST polling (dominant), OData, WISKI/KIWIS Existing coverage: Germany, Netherlands, France, Switzerland, Czech Republic, Poland, Norway, Sweden, Finland, UK, USA, Belgium White spots: Spain (SAIH/CHE), Italy (ISPRA), Austria (eHYD), Portugal (SNIRH), Japan (MLIT water info), South Korea (WAMIS), Australia (BOM Water Data Online), Canada (ECCC Hydrometric), Brazil (ANA HidroWeb), India (CWC/WRIS), China (MWR), South Africa (DWS), Kenya, Nigeria, and most of Africa and Southeast Asia
Entities: vessels (keyed by MMSI), aids to navigation Measurements: position (lat/lon), speed, course, heading, destination, ship type Typical publishers: national maritime authorities, coast guards, port authorities Protocols: MQTT, WebSocket, raw TCP/NMEA, REST Existing coverage: Norway (Kystverket), Finland/Baltic (Digitraffic), global terrestrial (AISstream — currently broken) White spots: Denmark (DMA), USA (MarineCadastre — historical only; USCG NAIS — restricted), Canada (CCG), Baltic states individually, Mediterranean nations (Italy, Greece, Turkey), Asian maritime nations (Singapore MPA, Japan Coast Guard), Australia (AMSA)
Entities: aircraft (keyed by ICAO hex address), flights Measurements: position, altitude, speed, heading, squawk, callsign Typical publishers: national aviation authorities, community networks (ADSBx, OpenSky), local receivers Protocols: BEAST binary (TCP), SBS BaseStation, REST, WebSocket Existing coverage: local Mode-S receiver bridge White spots: OpenSky Network API (REST, free academic use), ADS-B Exchange (community, API), EUROCONTROL (B2B services — registration required), FAA SWIM (US — TBFM, STDDS feeds), Flightradar24 (commercial — skip)
Entities: weather stations, radar grids, forecast zones, warning areas Measurements: temperature, pressure, wind, precipitation, humidity, visibility, alerts/warnings Typical publishers: national meteorological services (WMO members), space agencies Protocols: REST, file-server polling (GRIB, CAP XML, GeoJSON), WebSocket, LDM/IDD Existing coverage: Germany (DWD), USA (NOAA NWS, NOAA NDBC, NOAA GOES) White spots: UK Met Office (DataPoint API), Météo-France (open data portal), SMHI (weather, not just hydro), KNMI (Data Platform), JMA (Japan — XML feeds), KMA (South Korea — open API), BOM (Australia — extensive), ECMWF (open data subset), Environment Canada (MSC Datamart — Geomet), MeteoSwiss, AEMET (Spain), IPMA (Portugal), DMI (Denmark — open data)
Entities: earthquakes, seismic events, volcanoes Measurements: magnitude, depth, location, felt reports, tsunami alerts Typical publishers: geological surveys, seismological institutes Protocols: REST (GeoJSON, QuakeML), WebSocket, Atom/RSS Existing coverage: USGS (global) White spots: EMSC (European-Mediterranean — real-time WebSocket available), GeoNet (New Zealand — GeoJSON API), Geoscience Australia, JMA (Japan seismic), INGV (Italy — FDSN), BGS (UK — felt reports), IRIS DMC (global seismic data)
Entities: vehicles, trips, routes, stops, service alerts Measurements: real-time position, arrival/departure predictions, occupancy, alerts Typical publishers: transit agencies, mobility platforms, regional aggregators Protocols: GTFS-RT Protobuf over HTTP, SIRI XML/JSON, REST Existing coverage: generic GTFS bridge (multi-agency) White spots: specific high-value agencies not yet configured; SIRI-native European systems (UK Bus Open Data, Samtrafiken/Trafiklab Sweden); MobilityData catalog lists 1,400+ RT feeds
Entities: generation units, bidding zones, interconnectors, balancing areas Measurements: generation by fuel type, load, cross-border flows, day-ahead prices, imbalance Typical publishers: TSOs, energy market operators, regulatory bodies Protocols: REST (XML dominant for ENTSO-E), SOAP, CSV downloads Existing coverage: ENTSO-E (pan-European — planned) White spots: EIA (US — hourly grid monitor), AEMO (Australia — 5-min dispatch), IESO (Ontario), Elexon/BMRS (UK), REE (Spain — real-time demand), RTE éCO2mix (France), CAISO/ERCOT/PJM/MISO/SPP/NYISO (US ISOs — each has own API), Nordpool (day-ahead prices), Electricity Map (aggregator API)
Entities: posts, feeds, articles, edits Measurements: content, author, timestamp, engagement Typical publishers: social networks, news organizations, blogs, wikis Protocols: WebSocket (firehose), SSE, RSS/Atom, REST Existing coverage: Bluesky (AT Protocol firehose), RSS/Atom (generic) White spots: Mastodon/ActivityPub relay firehose, Wikimedia EventStreams (SSE — all Wikipedia/Wikidata edits, real-time, no auth, beautifully documented at stream.wikimedia.org), Hacker News Firebase API (real-time), OpenStreetMap minutely diffs (replication feed of all map edits worldwide)
These domains appeared in planning or assessment but have no runtime bridge in the repo.
Entities: monitoring stations, sensors, grid cells Measurements: PM2.5, PM10, O3, NO2, SO2, CO, AQI, pollen counts Typical publishers: environment agencies, city governments, EU/EEA, citizen sensor networks Protocols: REST (JSON, CSV), SOAP Known sources: OpenAQ (global aggregator — open API, no auth, 100+ countries), EEA (European — Up-to-Date Air Quality data, hourly), US EPA AirNow (REST, free key), Defra (UK — AURN network), UBA/Luftdaten (Germany), Sensor.Community/Luftdaten.info (crowdsourced — 15,000+ sensors, open API), PurpleAir (commercial API — limited free tier), AQICN (aggregator) Why it matters: politically relevant, spatially dense, well-structured, many open APIs
Entities: satellites, solar events, NEOs, ISS, TLE catalog objects, astronomical transients Measurements: TLE orbital elements, solar flare class/flux, CME speed, NEO approach distance, transient coordinates/magnitude Typical publishers: NASA, ESA, NOAA SWPC, CelesTrak, IAU Protocols: REST (JSON, XML, TLE text), SSE, Kafka (ZTF) Known sources: NOAA GOES/SWPC (existing bridge), NASA NEO API (free key), CelesTrak TLE feeds (no auth, text), NASA DONKI (space weather events), GCN/TAN (gamma-ray burst and gravitational wave alerts — VOEvent XML), ZTF transient alert stream (Kafka-native!) Why ZTF is notable: The Zwicky Transient Facility publishes astronomical transient alerts natively through Apache Kafka. This is a rare case of an upstream source that already speaks our transport protocol. Schema is Avro.
Entities: alert zones, warning bulletins, tsunami watches, flood forecasts Measurements: alert level, affected area, expected intensity, ETA Typical publishers: national emergency agencies, WMO, tsunami centers Protocols: CAP XML, REST, WebSocket, dedicated alert protocols Known sources: FEMA IPAWS (US — CAP), EU EFAS/EFAS (flood alerts), Copernicus EMS, JMA (Japan — tsunami and earthquake EEW), GDACS (Global Disaster Alert and Coordination System — RSS + API), Pacific Tsunami Warning Center, Meteoalarm (European weather warnings aggregator)
Entities: traffic sensors, road segments, incidents, roadworks, variable message signs Measurements: flow, speed, occupancy, travel time, incident type, road surface condition Typical publishers: national road administrations, city traffic management centers Protocols: REST, DATEX II (XML), MQTT, OCIT-C Known sources: Autobahn API (Germany — planned), Trafikverket (Sweden — open API, real-time), Statens vegvesen (Norway), Highways England (NTIS — DATEX II), Rijkswaterstaat NDW (Netherlands — DATEX II), FHWA (US — various state DOT feeds), HERE/TomTom (commercial — skip)
These are entirely new domains. Many have mature, open, well-structured APIs that are ripe for bridge implementation.
Entities: gamma dose rate stations (keyed by station code or EURDEP ID) Measurements: ambient gamma dose rate (nSv/h or µSv/h), sometimes nuclide-specific readings Typical publishers: nuclear safety authorities, radiation protection agencies Protocols: REST (JSON, XML), CSV, SOAP Known sources: EURDEP (European Radiological Data Exchange Platform — aggregates 5,500+ stations across 39 countries, near-real-time, open data viewer + download), German BfS ODL network (REST API, ~1,800 stations, sub-hourly, no auth), Japan NRA monitoring (post-Fukushima network, JSON), Safecast (global citizen radiation network — open API, 200M+ measurements) Why it's strong: structurally identical to hydrology (station-keyed numeric time series), politically significant, clean entity model, multiple open APIs
Entities: fire detections / hotspots (keyed by satellite + pixel), active fire perimeters Measurements: latitude, longitude, brightness temperature, fire radiative power (FRP), confidence, scan/track Typical publishers: NASA, ESA, national forestry/fire services Protocols: REST (JSON, CSV, GeoJSON, KML), WMS/WFS Known sources: NASA FIRMS (Fire Information for Resource Management System — global, MODIS + VIIRS, updates every few hours per satellite pass, free API key), EFFIS (European Forest Fire Information System — Copernicus), CAL FIRE (California — incidents API), CWFIS (Canada — Canadian Wildland Fire Information System), Sentinel-3 SLSTR (ESA — active fire detection) Why it's strong: global coverage, high public interest, each fire pixel has coordinates and timestamp, growing importance with climate change
Entities: lightning strokes/flashes (keyed by timestamp + coordinates) Measurements: latitude, longitude, timestamp (microsecond precision), polarity, peak current (kA), stroke type (CG/IC) Typical publishers: community networks, national met services, commercial networks Protocols: WebSocket, REST, proprietary binary Known sources: Blitzortung.org (global community network — real-time WebSocket feed, very high volume during storms, free for non-commercial), national met services sometimes publish aggregated strike data (DWD, Met Office, BOM) Why it's strong: true real-time streaming (WebSocket), extremely high event rate during storms (thousands/minute), clean point-event model, dramatic visualization potential
Entities: tide gauges (keyed by station code — GLOSS, IOC, or national ID) Measurements: water level, predicted tide, residual (surge), water temperature at some stations Typical publishers: national hydrographic offices, oceanographic agencies, IOC/UNESCO Protocols: REST (JSON, CSV, XML), ERDDAP, THREDDS Known sources: IOC Sea Level Station Monitoring Facility (SLSMF — ~1,000 stations worldwide, near-real-time, open), UHSLC (University of Hawaii — fast-delivery tide gauge data), SHOM (France — Refmar), BODC (UK), BOM (Australia), JMA (Japan), NOAA CO-OPS (already covered for US) Why it's strong: complements NOAA tides for the rest of the world, station-keyed, numerical, open, critical for tsunami and storm surge monitoring
Entities: stations, docking points, free-floating vehicles (keyed by station_id or vehicle_id) Measurements: available bikes, available docks, vehicle battery level, vehicle type, pricing Typical publishers: bikeshare operators, city transportation departments Protocols: GBFS (General Bikeshare Feed Specification) — REST JSON with auto-discovery Known sources: hundreds of cities worldwide publish GBFS feeds; MobilityData maintains a catalog. Major systems include Citi Bike (NYC), Santander Cycles (London), Vélib' (Paris), Bay Wheels (SF), Capital Bikeshare (DC), nextbike (pan-European), Lime/TIER/Voi (e-scooters — some publish GBFS) Why it's strong: standardized spec (like GTFS for transit), auto-discoverable, hundreds of deployments, clean entity model, no auth for most, natural sibling to the existing GTFS bridge
Entities: charging stations, connectors/ports (keyed by station ID + connector ID) Measurements: availability status (available/occupied/faulted/unknown), connector type, power output (kW), pricing Typical publishers: charging networks, national registries, aggregators Protocols: OCPI (Open Charge Point Interface), REST, OCPP (backend) Known sources: Open Charge Map (global aggregator — open API, 300,000+ locations), NOBIL (Norway — government registry, API), Bundesnetzagentur (Germany — Ladesäulenregister), nationale Databank Laadinfrastructuur (Netherlands — NDL), ChargePlace Scotland Why it's strong: fast-growing domain, real-time status changes are event-driven by nature, clean entity model, several open APIs, politically relevant (EV transition)
Entities: dams, reservoirs (keyed by dam/reservoir ID) Measurements: storage volume (acre-feet or cubic meters), pool elevation, inflow, outflow, percent of capacity Typical publishers: water resource agencies, power authorities Protocols: REST, CSV Known sources: US Bureau of Reclamation (Hydromet — REST, ~500 sites), California CDEC (real-time reservoir data), BOM Water Storage (Australia — daily), Spanish SAIH (basin authorities — real-time), India CWC reservoir bulletin Why it's strong: complements river gauge hydrology, distinct entity model (reservoir vs. gauge), public interest during droughts, relatively small number of entities with high informational value
Entities: water quality stations (keyed by station code, often co-located with hydro gauges) Measurements: dissolved oxygen, pH, specific conductance, turbidity, chlorophyll-a, water temperature, nitrate Typical publishers: environment agencies, water utilities, research institutions Protocols: REST, WISKI/KIWIS, SOS (Sensor Observation Service) Known sources: USGS NWIS (water quality parameters alongside flow — same API as USGS IV), EEA Waterbase, UK EA Water Quality Archive, Irish EPA hydronet, German state environment agencies (varies by Bundesland) Why it's strong: structurally similar to hydrology (same stations, same polling model), adds a new measurement dimension, increasing regulatory importance (EU Water Framework Directive, US Clean Water Act)
Entities: wiki pages, Wikidata items (keyed by page title or Q-ID) Measurements: edit diffs, editor, timestamp, change size, edit type (human/bot), wiki project Typical publishers: Wikimedia Foundation Protocols: SSE (Server-Sent Events) Known sources: Wikimedia EventStreams (stream.wikimedia.org — documented, no auth, real-time SSE, covers all Wikipedia languages + Wikidata + Commons + Wiktionary etc.) Why it's notable: this is one of the most well-engineered public event streams on the internet. Proper SSE, JSON payloads, documented schema, multiple topic streams (recentchange, revision-create, page-create, page-delete, etc.). High volume (~50–200 edits/sec across all projects). Perfect protocol fit. Would be a new SSE bridge pattern for the repo.
Entities: changesets, nodes, ways, relations (keyed by element ID and changeset ID) Measurements: geometry changes, tags, editor used, comment, bounding box Typical publishers: OpenStreetMap Foundation Protocols: XML replication diffs (minutely, available over HTTP) Known sources: planet.openstreetmap.org replication (minutely diffs — sequence-numbered OsmChange XML), Overpass Augmented Diffs, OSMCha (changeset analysis API) Why it matters: global collaborative map with ~10M contributors, minutely diff cadence is good for polling, each changeset has metadata and bounding box, useful for monitoring geographic edit activity
Entities: noise monitoring stations, airports, construction sites (keyed by station ID) Measurements: equivalent continuous sound level (LAeq), peak level (LAmax), percentile levels (L10, L90) Typical publishers: city environmental departments, airport authorities Protocols: REST, CSV Known sources: Dublin City Noise Monitoring (open data), Barcelona noise monitoring, Heathrow/Schiphol airport noise (some publish APIs), EU Environmental Noise Directive data Why it's niche but interesting: clean numeric time series, station-keyed, growing regulatory importance, unique domain that no other open data bridge project covers
Entities: parking garages, lots, zones (keyed by facility ID) Measurements: total spaces, available spaces, occupancy percentage, status (open/full/closed) Typical publishers: city parking operators, smart city platforms Protocols: REST, DATEX II, MQTT Known sources: many European cities publish real-time parking data (Cologne, Munich, Zurich, Amsterdam, Ghent, etc.), UK NaPTAN/APDS, ParkAPI (German aggregator), Open.NRW parking data Why it's interesting: high-frequency state changes, clean entity model, direct practical utility, DATEX II would be a new protocol pattern
Entities: outage areas, utility service territories (keyed by outage ID or utility + area) Measurements: customers affected, outage cause, start time, estimated restoration, geographic extent Typical publishers: electric utilities, aggregators Protocols: REST (JSON, GeoJSON), web scraping (unfortunately common) Known sources: PowerOutage.us (US aggregator — scrapes utility sites), UK Power Networks (documented API), individual utility outage maps (inconsistent, often scrape-only) Why it's tricky: most utility outage data is published for human dashboards, not APIs. PowerOutage.us is an aggregator but may have terms issues. UK Power Networks is cleaner. This domain has high value but low API maturity.
Entities: border crossing points, checkpoint lanes (keyed by port code) Measurements: wait time (minutes), lane count, delay level, crossing type (pedestrian/vehicle/commercial) Typical publishers: customs and border agencies Protocols: REST (JSON, XML) Known sources: US CBP Border Wait Times (REST API — all US land borders, updated frequently, no auth), Canada CBSA (less structured), EU border wait time projects (fragmented) Why it's interesting: US CBP API is well-documented and free, clean entity model, practical utility, very niche domain nobody else bridges
Entities: snow measurement stations, avalanche zones, ski areas (keyed by station or zone ID) Measurements: snow depth, snow water equivalent, avalanche danger level (1–5 European scale), wind, temperature Typical publishers: avalanche warning services, mountain weather services, water supply agencies Protocols: REST, XML, CSV Known sources: SLF (Switzerland — avalanche bulletins and station data), AINEVA (Italy — regional avalanche services), BERA (France — Météo-France), Avalanche.org (US — aggregator), SNOTEL (US NRCS — 900+ automated snow stations, sub-hourly, REST), NVE snow/avalanche (Norway — possibly already adjacent to hydro bridge) Why it's strong: SNOTEL in particular is a mature, high-quality, station-keyed network with REST API. Alpine avalanche services have structured danger level data. Clean fit for polling bridge.
Entities: volcanoes (keyed by GVP number or VNUM), eruptions, ash advisories Measurements: alert level, eruption type, ash cloud height/extent, SO2 flux, thermal anomaly Typical publishers: volcano observatories, VAACs (Volcanic Ash Advisory Centers), GVP/Smithsonian Protocols: REST, CAP XML, RSS, VONA (text) Known sources: Smithsonian GVP (weekly activity reports — RSS), USGS/CVO Volcano Notification Service (email/RSS), VAAC advisories (9 centers worldwide — XML/graphic), MIROVA (satellite thermal monitoring — near-real-time), VolcanoDiscovery (aggregator) Why it matters: low frequency but high consequence, global interest, the VONA message format is semi-structured, complements seismology nicely
Entities: geomagnetic observatories (keyed by IAGA code), ionospheric measurement points Measurements: magnetic field components (H, D, Z, F), Kp/Ap indices, TEC (total electron content), scintillation indices Typical publishers: INTERMAGNET, WDC, NOAA SWPC, national geophysical institutes Protocols: REST, IAGA-2002 format (text), CDF Known sources: INTERMAGNET (real-time geomagnetic data from ~150 observatories worldwide, 1-second cadence, open data), GFZ Potsdam (Kp index — near-real-time), NOAA SWPC (partially covered), GNSS ionospheric data (various) Why it's interesting: INTERMAGNET is a high-quality, global, real-time scientific network with 1-second data. The observatory codes are perfect Kafka keys. Volume is modest (150 stations × 1 Hz = manageable). Scientifically fascinating — captures geomagnetic storms, solar wind effects, aurora activity.
Entities: reception reports (keyed by transmitter callsign + receiver callsign + band) Measurements: frequency, mode, SNR (signal-to-noise ratio), distance, transmitter/receiver gridsquare Protocols: WebSocket, REST Known sources: PSKReporter (real-time HF/VHF propagation reports — WebSocket, very high volume, essentially a global ionospheric sensor network), WSPRnet (Weak Signal Propagation Reporter — automated beacon network), DX cluster (real-time amateur radio contact spots) Why it's unique: amateur radio propagation reports are, in effect, a real-time distributed sensor network for ionospheric conditions. PSKReporter processes millions of reports per day. The data reveals solar cycle effects, geomagnetic storm impacts, and atmospheric phenomena. No other bridge project covers this domain.
Entities: reef sites, monitoring buoys, satellite grid cells (keyed by site/station ID or lat/lon grid) Measurements: sea surface temperature anomaly, bleaching alert level, degree heating weeks, chlorophyll-a Typical publishers: NOAA Coral Reef Watch, GBRMPA (Great Barrier Reef), reef monitoring networks Protocols: REST, NetCDF, GeoTIFF, CSV Known sources: NOAA Coral Reef Watch (global 5km satellite products — daily, REST/ERDDAP, open), AIMS (Australian Institute of Marine Science — reef monitoring data), GCRMN Why it matters: climate indicator, global coverage from satellite, clean grid-based model, daily update cadence is on the slow side but scientifically significant
Entities: sensors/stations (keyed by sensor ID, typically crowdsourced) Measurements: varies — PM2.5, temperature, humidity, radiation, noise, soil moisture Typical publishers: community platforms, NGOs, maker communities Protocols: REST (JSON) Known sources: Sensor.Community (formerly Luftdaten.info — ~15,000 active sensors, open API, global, air quality + weather + noise), PurpleAir (PM2.5 — 30,000+ sensors, API available), Safecast (radiation — 200M+ datapoints, open API), Weather Underground PWS (personal weather stations — API available but commercial terms), CWOP/MADIS (citizen weather) Why it matters: dramatically better spatial resolution than official networks, especially in developing countries. Sensor.Community is the standout — open API, global, structured JSON, active development.
These are emerging, speculative, or restricted-access domains worth monitoring but not yet ready for bridge implementation.
Emerging standard — FAA Remote ID broadcasts, EASA U-Space. Currently fragmented, few open aggregators. Watch for standardization.
Post-COVID wastewater monitoring for pathogen surveillance. Some cities publish dashboards, but few have APIs. Growing fast — could mature into a bridgeable domain within 1–2 years.
Space-Track.org (free account required) and LeoLabs publish conjunction warnings. CelesTrak has open TLE data. ESA's Space Debris Office publishes risk assessments. Niche but growing with the Starlink/megaconstellation era.
USDA CropScape, EU MARS crop bulletins, FAO GIEWS. Mostly weekly-to-monthly cadence — too slow for real-time bridging. But SMAP soil moisture and NDVI vegetation indices from satellites are getting closer to daily updates.
RIPE RIS (Routing Information Service) and RouteViews publish real-time BGP route announcements. These are legitimate real-time streams, but the data is complex (BGP UPDATE messages) and the audience is narrow. IODA (Internet Outage Detection and Analysis) aggregates this into a more consumable form.
NOAA and academic networks operate hydrophone arrays that detect whale calls. Some data reaches near-real-time through platforms like Whale Alert. Very niche, limited API availability, but scientifically compelling.
US NRC publishes daily plant status reports. IAEA PRIS has a global reactor database. But update cadence is daily at best — borderline for real-time bridging. More of a reference data enrichment source.
