Airframes is a transportation (aviation, marine, etc) data aggregation service that receives ACARS, VDL, HFDL, SATCOM, and AIS data from volunteers around the world. This is similar to other efforts to collect, process, and display aircraft data like ADS-B, but with a focus on more interesting information, such as diagnostic, maintenance, and operational messages. It is under very active development and you will notice changes from day to day.
Contributing your feed allows us to make ground developing new decoders and make important statistical observations. It also benefits users of the service so that they can see more about flights as they traverse covered territories.
They're working on a REST API for participants.
Github: https://github.com/airframesio
Life is hard. Some days are at the absolute limit of what we can manage. Some days are worse than that. Eating—picking a meal, making it, putting it into your facehole—can feel like an insurmountable challenge. We wrote this cookbook to share our coping strategies. It has recipes to make when you’ve worked a 16-hour day, when you can’t stop crying and you don’t know why, when you accidentally woke up an Eldritch abomination at the bottom of the ocean. But most of all, this cookbook exists to help Sad Bastards like us feel a little less alone at mealtimes.
The Sad Bastard Cookbook is funny, realistic, and kind. It’s vegetarian/vegan. It’s a community-built project. And the e-book is free. It’s hard to survive late capitalism and we want to help.
Subscribe to the newsletter, download the free pdf, and print it. We’re cool with that. We made it legal with Creative Commons (4.0-BY-NC), but if you get a thrill from breaking the law, you can pretend it’s not.
We are an European group of people interested in the observation of local and international air traffic. Whether out of interest in (radio) technology, development of hardware and software, or simply in unfiltered air traffic: Every antenna in the network matters ‒ especially to improve coverage at low altitudes! Through an extensive network of receiving stations, everyone contributes their part to the information variety. If you already operate your own ADS-B receiver or require advice in selecting the best hardware for your location, contact us.
One of the things that always seemed really hard when it comes to setting up an ADSB feeder is that very first step. How do you get started?
Pretty much all of the instructions are written for people who are familiar with computers, happy to edit config files, to download individual pieces and make it all work, logged in to a command line interface. Yet at the same time, that obviously is just a tiny fraction of the people who might be interested in this hobby. From this observation grew the idea to build a project that would make this process super simple, without going down the path of proprietary hardware and software (like so many of the commercial feeders do). All of this is open source, all the infrastructure is agnostic of the aggregators you want to feed.
Supported Single Board Computers (SBCs)
- Raspberry Pi Zero 2, 3a/b, and 4 (tested on 3a and 4 - note that Pi Zero W will NOT work)
- Asus Tinkerboard (tested)
- Libre Computing Le Potato (tested) and Renegade (tested)
- Orange Pi 3LTS (tested - no wifi support), 4LTS, and 5
- Banana Pi M5 / M2P
- Odriod C4
- Rockpi 4
It really is pretty easy to get it going. I had a working node inside of an hour.
Curlie strives to be the largest human-edited directory of the Web. It is run by volunteer editors. Join today to add to our collection or create your own! We started as the Open Directory Project (ODP), later became DMOZ, and In 2017, we launched Curlie to continue the 100% free directory. There is no cost to submit a site to the directory or use the directory's data. Curlie provides the means for the community to identify and categorize the best content on the web.
Most people find this website because they are disturbed by an unusual unidentified low-frequency sound that scientists now call the Worldwide Hum. The classic description is that The Hum sounds like a car or truck engine idling outside your home or down the block. Some people describe it as a low rumbling or droning sound. It is typically perceived louder at night than during the day, and louder indoors than outdoors. The sound can usually be masked by background noise, such as a fan or keeping the radio on. We estimate that 2-4% of the global population can experience this phenomenon under certain conditions.
The typical characteristics of the World Hum are that sufferers hear it wherever they go, and that other people in the same place and time cannot hear it. This may be a type of otoacoustic phenomenon generated internally in the brain and auditory organs, through mechanisms which are not yet fully understood, but for which this project tries to find answers and possible remedies.
The entire dataset can be downloaded as a CSV file. There is also a project whitepaper for people to gather more data for analysis.
WeeWX is a free, open source, software program, written in Python, which interacts with your weather station to produce graphs, reports, and HTML pages. It can optionally publish to weather sites or web servers. It uses modern software concepts, making it simple, robust, and easy to extend. It includes extensive documentation.
WeeWX runs under most versions of Linux, as well as macOS, *BSD, and Solaris. Many users are running on the Raspberry Pi. The images on this page and throughout this web site are from sample stations running WeeWX.
Thousands of stations throughout the world run WeeWX, many of whom have opted-in to be shown on our station map.
Github: https://github.com/weewx/weewx
Crowdsec is an open-source, lightweight software, detecting peers with aggressive behaviors to prevent them from accessing your systems. Its user friendly design and assistance offers a low technical barrier of entry and nevertheless a high security gain. Scans logs for signs of activity. Matches signs to local and crowdsourced attack signs. If a response agent is integrated with the service, it will react to the attack. Signs are also contributed back to the project to aid the community. Interactive setup and configuration. Designed not to need fine tuning to be effective.
A F/OSS natural language translation system that seems to want to give Google Translate a run for its money. The corpuses used for training appear to be crowdsourced, and I think you can download the trained models on their own. Aims to be self-hosted.
Github: https://github.com/apertium
Installation docs: http://wiki.apertium.org/wiki/Installation
A crowdsourced map of the weird and uncanny.
A global network of satellite ground stations, designed as an open source participatory project. A machine readable crowdsourced satellite information database. Built from readily available and affordable tools and resources. Concentrates on satellites in LEO. A significant amount of work is involved so you won't be able to just throw up an RTL-SDR and get going. Designed to be built using readily available materials and access to basic tools and machinery using 3D printers and CNC as provided by average hackerspaces.
A crowdsourced mapping project which aims to document the trunk lines underlying the Net, and where privacy violations and surveillance infrastructure can watch it. Has open source, cross-platform software for download that runs traceroutes to various places, correlates the data, and uploads it to the project (anonymously, by default) for analysis.
API documentation for wigle.net.
A free, publically referrable, publically editable street map of the world, generated out of data contributed by the people who live there.
A crowdsourced open environmental data project. volunteer centered. Measures airquality, radiation, and environmental health.
A site that has presents a step-by-step howto for getting involved with OpenStreetmap.
A site that lists every creditcard vendor and their Cardholder Verification Methods for the cards they issue. The site seems to be crowdsourced because the companies don't necessarily publish this stuff.
An online open and crowdsourced weather service. People set up automatic weather stations (which are fairly cheap) and contribute measurements that are aggregated into forecasts. Has an API so you can pull data out of it as well as contribute it: http://openweathermap.org/appid Free accounts are, of course, limited in several ways. You can also get weather maps of various kinds from the service to visualize the forecast data. Forecast data is in XML, JSON, and HTML formats.
There is also an air pollution API: https://openweathermap.org/api/air-pollution
Another crowdsourced radiation monitoring website.
NLP training corpuses for the Chatterbot python module. Contains all of the structured text used to teach the text classifier and semantic analysis engines for the module. All user contributed. Encouages contribution by the community. YAML categories The training data consists of actual conversations and fragments thereof in the file.