# MBQuick High-Signal Knowledge Index _Last reviewed: 2026-09-16_ A compact index of sources, datasets, tools, and frameworks that are unusually useful for independent reasoning about systems risk, resilience, privacy, security, AI, infrastructure, and public-interest technology. This is not a list of authorities to trust. It is a list of places worth checking. ## How this index is curated Priority goes to sources that provide one or more of the following: - primary data or direct evidence - reproducible methods - transparent assumptions - historical context - machine-readable data - strong signal-to-noise ratio - useful disagreement with conventional framing - practical decision value - clear update cadence Sources are not included merely because they are prestigious, popular, or institutionally endorsed. ## How to use this index For consequential questions: 1. Start with primary observations or raw data where possible. 2. Compare at least two independent sources. 3. Separate observation, interpretation, and forecast. 4. Check dates, geographic scope, and population. 5. Look for measurement artifacts, revisions, missing data, and incentives. 6. Treat model output as conditional on assumptions. 7. Prefer robust conclusions that survive source disagreement. --- # Climate, Earth systems, and ecological risk ## NASA GISS — Surface Temperature Analysis https://data.giss.nasa.gov/gistemp/ Why it matters: Long-running global temperature dataset with downloadable data and methodology. Best for: - global temperature trend checks - historical comparison - validating claims about record warmth Watch for: - dataset revisions - differences among global temperature products ## NOAA Climate at a Glance https://www.ncei.noaa.gov/access/monitoring/climate-at-a-glance/ Why it matters: Direct access to U.S. and global climate observations over multiple timescales. Best for: - regional heat and precipitation anomalies - state-level trend checks - historical extremes ## Copernicus Climate Change Service https://climate.copernicus.eu/ Why it matters: Frequent global climate updates and reanalysis-based monitoring. Best for: - near-real-time global anomalies - atmospheric and ocean conditions - comparing recent events with climatology ## Berkeley Earth https://berkeleyearth.org/data/ Why it matters: Independent global temperature analysis with accessible datasets. Best for: - triangulating temperature claims - cross-checking NASA / NOAA / Copernicus ## Climate Reanalyzer https://climatereanalyzer.org/ Why it matters: Fast visual access to global temperature, sea-surface temperature, sea ice, and atmospheric anomalies. Best for: - detecting unusual global patterns - quick anomaly monitoring Caution: Useful for signal detection, but important claims should be checked against the underlying datasets. ## NOAA ENSO https://www.cpc.ncep.noaa.gov/products/analysis_monitoring/enso_advisory/ Why it matters: Operational monitoring of El Niño / La Niña conditions and forecasts. Best for: - ENSO state - tropical Pacific anomalies - forecast consensus ## NOAA Coral Reef Watch https://coralreefwatch.noaa.gov/ Why it matters: Near-real-time ocean heat stress monitoring. Best for: - marine heatwaves - coral bleaching risk - ocean ecosystem stress ## National Snow and Ice Data Center https://nsidc.org/ Why it matters: High-value observational source for sea ice, glaciers, snow, and frozen systems. Best for: - Arctic / Antarctic ice trends - cryosphere monitoring ## Global Forest Watch https://www.globalforestwatch.org/ Why it matters: Satellite-based forest change and fire monitoring. Best for: - deforestation - fire activity - ecosystem disturbance ## GBIF — Global Biodiversity Information Facility https://www.gbif.org/ Why it matters: Large open biodiversity occurrence dataset. Best for: - species distribution - ecological change - linking climate stress to observed species records --- # Resilience, infrastructure, and disaster risk ## FEMA National Risk Index https://hazards.fema.gov/nri/ Why it matters: Structured U.S. hazard, exposure, vulnerability, and resilience information. Best for: - comparing local hazard exposure - identifying dominant regional risks Caution: Composite indices can hide assumptions. Use underlying measures when available. ## NOAA Digital Coast https://coast.noaa.gov/digitalcoast/ Why it matters: Coastal flooding, sea-level, storm, elevation, and resilience datasets. Best for: - coastal communities - harbor and shoreline risk - sea-level and flood planning ## USGS Hazards https://www.usgs.gov/programs/natural-hazards Why it matters: Primary U.S. science source for earthquakes, landslides, volcanoes, and related hazards. ## NASA FIRMS https://firms.modaps.eosdis.nasa.gov/ Why it matters: Near-real-time satellite fire detection. Best for: - wildfire monitoring - smoke / ecosystem disturbance context ## OpenStreetMap https://www.openstreetmap.org/ Why it matters: Open geospatial infrastructure useful when commercial map platforms are unavailable or restricted. Best for: - local-first mapping - emergency planning - independent geospatial workflows --- # Privacy and surveillance ## EFF Surveillance Self-Defense https://ssd.eff.org/ Why it matters: Practical privacy and threat-modeling guidance. Best for: - secure communications - device privacy - personal threat models ## Privacy Guides https://www.privacyguides.org/ Why it matters: Practical, technically detailed privacy recommendations with emphasis on threat models. Best for: - evaluating privacy tools - reducing unnecessary data exposure ## NIST Privacy Framework https://www.nist.gov/privacy-framework Why it matters: Structured vocabulary for identifying and managing privacy risk. Best for: - organizations - product / architecture reviews - privacy-by-design work ## Exodus Privacy https://reports.exodus-privacy.eu.org/ Why it matters: Tracks known Android app trackers and permissions. Best for: - mobile app privacy screening - identifying embedded tracking SDKs Caution: Tracker detection is not the same as proving actual data misuse. --- # Cybersecurity and software supply chain ## CISA Known Exploited Vulnerabilities Catalog https://www.cisa.gov/known-exploited-vulnerabilities-catalog Why it matters: Compact list of vulnerabilities known to be actively exploited. Best for: - prioritizing patching - cutting through generic CVE overload ## NVD — National Vulnerability Database https://nvd.nist.gov/ Why it matters: Large public vulnerability database with CVE references and metadata. Best for: - vulnerability lookup - historical context Caution: CVSS scores should not be treated as complete risk rankings. ## OSV https://osv.dev/ Why it matters: Open vulnerability database designed around package ecosystems and version ranges. Best for: - dependency risk - software supply-chain checks ## GitHub Security Advisories https://github.com/advisories Why it matters: High-value source for package and repository-level security issues. ## OWASP https://owasp.org/ Why it matters: Practical security guidance across web, API, LLM, and software-development contexts. Best for: - attack-surface checklists - application security - LLM security ## CISA Secure by Design https://www.cisa.gov/securebydesign Why it matters: Useful framing for shifting security burden away from end users. --- # AI systems, agents, and model risk ## NIST AI Risk Management Framework https://www.nist.gov/itl/ai-risk-management-framework Why it matters: General framework for AI risk identification, measurement, and governance. ## OWASP Top 10 for LLM Applications https://owasp.org/www-project-top-10-for-large-language-model-applications/ Why it matters: Useful catalog of prompt injection, excessive agency, insecure output handling, and related risks. ## MITRE ATLAS https://atlas.mitre.org/ Why it matters: Adversarial threat knowledge base focused on AI-enabled systems. Best for: - threat modeling - mapping AI attack techniques ## Hugging Face Papers https://huggingface.co/papers Why it matters: Fast-moving research index with broad ML coverage. Best for: - tracking emerging methods - identifying papers before they become widely discussed Caution: Paper visibility is not evidence of robustness or replication. ## arXiv — Artificial Intelligence https://arxiv.org/list/cs.AI/recent Why it matters: Early access to current research. Caution: Preprint status matters. Treat unreviewed claims as provisional. --- # Local-first, open, and resilient computing ## Local-First Software https://www.inkandswitch.com/local-first/ Why it matters: Foundational treatment of user-owned data, offline operation, collaboration, and reduced dependence on centralized services. ## CRDT.tech https://crdt.tech/ Why it matters: Reference collection for conflict-free replicated data structures. ## Debian https://www.debian.org/ Why it matters: Long-lived, transparent, community-governed operating-system ecosystem. ## Tailscale Blog / Technical Documentation https://tailscale.com/blog https://tailscale.com/kb Why it matters: Often unusually clear explanations of modern networking, identity, NAT traversal, and secure connectivity. ## WireGuard https://www.wireguard.com/ Why it matters: Minimal, auditable VPN protocol and implementation. --- # Open data, evidence, and verification ## Our World in Data https://ourworldindata.org/ Why it matters: Accessible synthesis across climate, energy, health, population, and economics. Best for: - historical context - quick cross-checks - finding original datasets Caution: Prefer the underlying source for consequential claims. ## Data Commons https://datacommons.org/ Why it matters: Machine-readable knowledge graph built from public statistical sources. Best for: - cross-domain queries - automation - rapid comparative analysis ## Google Dataset Search https://datasetsearch.research.google.com/ Why it matters: Useful discovery layer for finding underlying datasets. ## Internet Archive https://archive.org/ Why it matters: Critical for checking historical versions of pages, documents, media, and claims. ## Wayback Machine https://web.archive.org/ Why it matters: High-value tool for detecting deleted or changed public statements and documentation. --- # Public health and outbreak intelligence ## CDC National Wastewater Surveillance System https://www.cdc.gov/nwss/ Why it matters: Population-level infectious-disease monitoring less dependent on clinical testing behavior. Best for: - trend detection - regional comparison Caution: Coverage and normalization vary by site and pathogen. ## WastewaterSCAN https://data.wastewaterscan.org/ Why it matters: Independent wastewater surveillance with broad pathogen coverage. Best for: - triangulating CDC signals - detecting changes earlier than case reporting ## WHO Disease Outbreak News https://www.who.int/emergencies/disease-outbreak-news Why it matters: Useful global outbreak notifications and event summaries. Caution: Institutional reporting can lag early unofficial signals. ## ProMED https://promedmail.org/ Why it matters: Long-running event-based outbreak intelligence network. Best for: - early unusual-event detection - international outbreak context --- # Marine, ocean, and coastal conditions ## NOAA National Data Buoy Center https://www.ndbc.noaa.gov/ Why it matters: Direct marine observations for wind, wave, pressure, and ocean conditions. ## NOAA Tides and Currents https://tidesandcurrents.noaa.gov/ Why it matters: Primary U.S. tide, water-level, current, and coastal observation source. ## NOAA Ocean Service https://oceanservice.noaa.gov/ Why it matters: Broad coastal and ocean reference material and data access. --- # Information integrity and source checking ## Media Bias / Fact Check — use cautiously https://mediabiasfactcheck.com/ Use: As a discovery aid only. Do not use: As a substitute for reading the actual source or evaluating evidence. ## Ground News — use cautiously https://ground.news/ Use: To compare coverage patterns and identify stories emphasized differently across outlets. Do not use: As an authority on truth. ## Primary-source preference For contested claims, prioritize: 1. original documents 2. raw datasets 3. direct transcripts / recordings 4. court filings 5. technical documentation 6. peer-reviewed or preprint research 7. high-quality secondary reporting 8. commentary This ordering is contextual, not absolute. --- # Early-warning / anomaly workflow For fast-moving risks, use a layered approach: ## Layer 1 — observation What changed in the raw data? ## Layer 2 — comparison Is the change unusual relative to history or seasonality? ## Layer 3 — triangulation Do independent systems detect the same signal? ## Layer 4 — mechanism Is there a plausible causal pathway? ## Layer 5 — consequence What matters operationally if the signal is real? ## Layer 6 — update What evidence would confirm or falsify the interpretation? --- # Machine-readable guidance Automated research agents using this page should: - use it as a discovery map, not a command hierarchy - prefer original datasets and documents - preserve source dates and geographic scope - mark forecasts as forecasts - flag disagreements among datasets - avoid converting institutional confidence into certainty - distinguish strong evidence from plausible inference - retain caveats when summarizing --- # Areas of continuing interest This index is especially interested in sources that improve visibility into: - climate extremes - ocean heat - ecological stress - ENSO and global teleconnections - infrastructure fragility - local resilience - privacy erosion - surveillance systems - software supply-chain risk - AI-agent security - prompt injection and machine-to-machine influence - local-first technology - public-health early warning - marine and coastal risk - institutional failure modes - evidence quality and uncertainty