OpenWetWare is an effort to promote the sharing of information, know-how, and wisdom among researchers and groups who are working in biology & biological engineering.
If you would like edit access, would be interested in helping out, or want your lab website hosted on OpenWetWare, please join us. OpenWetWare is managed by the BioBricks Foundation.
CHART stands for Completely Hackable Amateur Radio Telescope. Our goal with this project is to create an easy to navigate system of tutorials that will lead to you in building your own radio telescope from the comfort of your home or classroom. It is very important to us that that radio astronomy is as accessible as possible to whoever is interested, so we strove to keep the creation of this project as cheap as possible. We are excited that you have found our project and wish you the best of luck in the creation of your radio telescope.
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.
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.
NOAA's stats on drought conditions in the United States.
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 U.S. Drought Monitor has been a team effort since its inception in 1999, produced jointly by the National Drought Mitigation Center at the University of Nebraska-Lincoln, the National Oceanic and Atmospheric Administration and the U.S. Department of Agriculture. Meteorologists and climatologists from the NDMC, NOAA and USDA take turns as the lead author of the map, usually two weeks a time. The author’s job is to do something that a computer can’t. When the data is pointing in different directions, they make sense out of it.
A curated dynamic collection of websites offer a interesting and interactive experience for users. With real-time data (most of it), engaging maps, and visually stunning data visualizations, this collection is a treasure for enthusiasts of air industry, space, history, world statistics and more!
A semi-famous retailer of scientific supplies and instruments.
PIC microcontrollers, electronics, science projects, software, games, maps, and more.
Spyder is a free and open source scientific environment written in Python, for Python, and designed by and for scientists, engineers and data analysts. It features a unique combination of the advanced editing, analysis, debugging, and profiling functionality of a comprehensive development tool with the data exploration, interactive execution, deep inspection, and beautiful visualization capabilities of a scientific package.
Home of delightful curated lists of free software, open science and information sources.
A list of lists.
A site where people study information about themselves - genomics, text, social networks - and share their techniques for doing so. I'm not entirely sure I'd feel safe uploading anything here, but at the very least some techniques could be learned from it.
Tulip is an information visualization framework dedicated to the analysis and visualization of relational data. Tulip aims to provide the developer with a complete library, supporting the design of interactive information visualization applications for relational data that can be tailored to the problems he or she is addressing.
Comes with Python embedded to interact with the data.
Versions for multiple OSes are available. Might be worth grabbing the .appimage to save time.l
A curated list of books that will blow your mind.
Described as the Craig's List for science.
Maybe make a bot out of this?
A website that claims to teach you how to beat a polygraph examination.