The NOAA runs this project.

The State Climate Summaries provided here were initially produced to meet the demand for state-level climate information in the wake of the Third U.S. National Climate Assessment. This 2022 version provides new information and extends the historical climate record to 2020 for each state. The summaries cover assessment topics directly related to NOAA’s mission, specifically historical climate variations and trends, future climate model projections of climate conditions during the 21st century, and past and future conditions of sea level and coastal flooding. Additional background information and links are given below.

MEALPY is the largest python library in the world for most of the cutting-edge meta-heuristic algorithms (nature-inspired algorithms, black-box optimization, global search optimizers, iterative learning algorithms, continuous optimization, derivative free optimization, gradient free optimization, zeroth order optimization, stochastic search optimization, random search optimization). These algorithms belong to population-based algorithms (PMA), which are the most popular algorithms in the field of approximate optimization.

A generic automation tool around data stored as plaintext YAML files. This program uses YAML files to store data about various kind of items (bookmarks, software projects, ...) and apply various processing tasks. Functionality is implemented in separate modules.

One of the things namechecked is use with Shaarli.

sjvisualizer is a data visualization and animation library for Python for time-series data.

Tries to be easy to use. Give it a file of data (the examples given are .xlsx files, can probably use others) and it seems to know what to do if it thinks it's time-series data.

Has an actual website with more detailed and elaborate examples, including background information: https://www.sjdataviz.com/software

This library provides several functions for nicely printing data to the
terminal. MatPlotLib is a very nice library, but it can be a bit tedious at
times when all you want is something quick and dirty.

By default, this library will use Unicode symbols (specifically braille) for
plotting. A good font to use is JuliaMono. However, if your font does not
support the necessary Unicode symbols, you can tell the library to not use them by setting itrm.config.uni to False.

Find out who’s behind more than 810,000 offshore companies, foundations and trusts from the Pandora Papers, Paradise Papers, Bahamas Leaks, Panama Papers and Offshore Leaks investigations.

Did you ever wonder how QR codes work? You've come to the right place! This is an interactive explanation that we've written for a workshop at 37C3, but you can also use it on your own. You will learn the anatomy of QR codes and how to decode QR codes by hand.

Source code: https://codeberg.org/Piko/qr-explainer

Welcome to Vimm's Lair! This site is dedicated to nostalgia for many of the greatest game consoles ever made. Inside you'll find thousands of games, full-color manual scans, user ratings and reviews, and much more! Whether you're looking for some videogame nostalgia or just curious, you're sure to find everything you need!

The USDA Plant Hardiness Zone Map is the standard by which gardeners and growers can determine which perennial plants are most likely to thrive at a location. The map is based on the average annual extreme minimum winter temperature, displayed as 10-degree F zones and 5-degree F half zones. A broadband internet connection is recommended for the interactive GIS-based map above.

To find the Plant Hardiness Zone at your location quickly, enter your zip code in the Quick Zip Code Search box in the map above, or click anywhere on the map to view the corresponding interactive map.

This repository contains Open Source freely usable Threat Intel feeds that can be used without additional requirements. The file ThreatIntelFeeds.csv is stored in a structured manner based on the Vendor, Description, Category and the URL. The vendors offering ThreatIntelFeeds are described below. The following feed categories are available:

COVID-19 continues to kill and injure many people daily. With the collapse in case data reporting it has become difficult to show that high-risk events such as large meetings, performances, and other events result in quantifiable harms.

This web app allows you to create a sharable event link for attendees to report their symptoms and test status anonymously. The public event page will then display how many attendees have become sick or tested positive in an easy-to-digest form along with expected impact (e.g. how many might be expected to get Long COVID). These statistics can be used to help you advocate for increased COVID-19 mitigations in your workplace or other groups.

It may be difficult to get people to disclose their status publicly with their name attached to colleagues (it's embarassing and everyone is trying to ignore COVID), but it is much easier for an activist to drop a link and aggregate anonymous statistics since there is less chance of blowback for such disclosures for the individuals and they'll feel like they're contributing to public health and workplace safety.

For the organizer or activist, information is power. Statistics are able to show the real harms that are occuring and can be used to advocate for safe events and workplaces. It also gives your fellow attendees a way to help each other in a clear and structured way that the Federal government should be providing, but isn't.

Plots the vertical atmospheric structure as plots between altitude and temperaturem and altitude vs. wind speed using aircraft data collected from the dump1090-fa ADSB decoder. The calculations are similar to those used in the tar1090 package. Reads the JSON data from dump1090-fa/history_xx.json files.

WeeWX extension that uploads data points to an Influx database server.

ripgrep is a line-oriented search tool that recursively searches the current directory for a regex pattern. By default, ripgrep will respect gitignore rules and automatically skip hidden files/directories and binary files. (To disable all automatic filtering by default, use rg -uuu.) ripgrep has first class support on Windows, macOS and Linux, with binary downloads available for every release. ripgrep is similar to other popular search tools like The Silver Searcher, ack and grep.

MesoWx is a real-time HTML front-end for visualizing personal weather station data. It provides a real-time graph and console display, and dynamic graphs of your weather station history allowing you to explore the details of any recorded time period in your data.

MesoWx displays data from a database and does not itself interface with any weather station hardware directly, however, being built upon Meso it supports an HTTP API for remotely adding data, which allows integration with existing weather station software. MesoWx integrates well with Weewx and should support any weather station that it supports.

Requires quite a bit of configuration and background work (like setting up another database for this extension to use exclusively) so read the docs before deciding to set it up.

This extension provides a skin that is not designed to be used from a web browser, rather for consumption from another type of client... smartphone app, dynamic javascript page, automated bot. This is most of the same data that can be found in the default "Seasons" report's rss.xml output, but formatted in the JSON format for easier consumption by clients.

Creates a file /weewx.json in the WeeWX webroot. You won't see a reference to it if you look at the HTML of the generated reports.

CHELSA (Climatologies at high resolution for the earth’s land surface areas) is a very high resolution (30 arc sec, ~1km) global downscaled climate data set currently hosted by the Swiss Federal Institute for Forest, Snow and Landscape Research WSL. It is built to provide free access to high resolution climate data for research and application, and is constantly updated and refined.

It includes climate layers for various time periods and variables, ranging from the Last Glacial Maximum, to the present, to several future scenarios.

CHELSA is based on a mechanistical statistical downscaling of global reanalysis data or global circulation model output and is freely available in the download section.

EvaDB is a database system for developing AI apps. We aim to simplify the development and deployment of AI apps that operate on unstructured data (text documents, videos, PDFs, podcasts, etc.) and structured data (tables, vector index).

The high-level Python and SQL APIs allow beginners to use EvaDB in a few lines of code. Advanced users can define custom user-defined functions that wrap around any AI model or Python library. EvaDB is fully implemented in Python and licensed under an Apache license.

Ideal for patching into existing AI APIs.

The U.S. Drought Monitor (USDM) is a map released every Thursday, showing where drought is and how bad it is across the U.S. and its territories. The map uses six classifications: normal conditions, abnormally dry (D0), showing areas that may be going into or are coming out of drought, and four levels of drought: moderate (D1), severe (D2), extreme (D3) and exceptional (D4).

The data cutoff for Drought Monitor maps is each Tuesday at 8 a.m. EDT. The maps, which are based on analysis of the data, are released each Thursday at 8:30 a.m. Eastern Time.

A project of the University of Nebraska-Lincoln.