Anecdata.org

@anecdata.org

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A free online platform for citizen and community science, developed at @mdibl.org. https://www.anecdata.org

A screen with a YAML based workflow that's too long to paste in full but it's titled SeaRise Telemetry Sync.
A code editor with the following code: mport pandas as pd import numpy as np import geopandas as gpd from shapely import wkt from sklearn.cluster import KMeans from sklearn.preprocessing import PowerTransformer from sklearn.metrics import silhouette_score import matplotlib.pyplot as plt import matplotlib.gridspec as gridspec # 1. SETUP & COLUMNS pfas_cols = [ 'pfba', 'pfpea', 'pfbs', 'v_42fts', 'pfhxa', 'pfpes', 'hfpoda', 'pfhxs', The mouse is hovering over pfas_cols with the following tooltip: Type: builtins.list Built-in mutable sequence. If no argument is given, the constructor creates a new empty list. The argument must be an iterable if specified.
A map of Maine showing the different geologic regions and their corresponding arsenic risk of having arsenic of greater than 10 ug/l in one's well water. The highest risk areas are the Ellsworth and Blue Hill areas, around Augusta, and in the Rockland area.
Citizen or community science is a relatively new and quickly-growing field, broadly involving the direct participation of laypeople in the collection or analysis of scientific data. Anecdata.org is a free online citizen science data collection and dissemination platform that anyone can use, developed at the Community Lab at MDI Biological Laboratory. Over the past thirteen years, Anecdata has grown to become a community of over 400 active projects focusing on a wide range of sub-fields of citizen science, from ecology and climate change to astronomy, social research, and the study of urban spaces. One stumbling block that project managers, data scientists, and members of the public have faced on Anecdata and other citizen science platforms is that the online tools for data analysis have been limited at best. Generating graphics for publications usually requires downloading a dataset, performing offline analysis in R or Julia, and then when graphics needed to be re-done, the data would have to be downloaded again.  To overcome this hurdle and empower citizen scientists across the world, we have created Anecdata DataLab, an online data analysis toolset that directly integrates an online R workspace with a live project dataset. Users can query data, select which R libraries they'd like to include, write R scripts incorporating external files, and generate research-grade graphics. Additionally, any DataLab analysis can be linked to or embedded as a live R visualization online.
A little mini R IDE with controls to define the data axes and a text editor with white on dark blue and some R code for generating a plot