All datasets have been collected by professional scientists or research agencies who have kindly shared their data with Hudson Data Jam. Each dataset contains a link to a Google Sheet with the data and a brief introductory section describing the research. If you want to use the data in Microsoft Excel you can download as an Excel sheet from within the Google file.
For a Google Drive folder of sample graphs to guide student exploration, teachers can contact firstname.lastname@example.org.
Tuva & the Hudson Valley Data Portal
We’ve created a partnership with TuvaLabs, Inc. to host all of our DJ datasets on their interactive graphing platform. Students can drag and drop the variables right onto the axes and build graphs in seconds without the complexity of manipulating a spreadsheet.
Hudson Valley Data Portal
Dataset levels are derived by looking at the number of factors in the dataset and by the sheer amount of data collected. Most middle schoolers will be successful with a Level 1 or 2 dataset, and the appropriate level for your high schoolers depends on their data experience and determination. Drop us a line if you need help selecting an appropriate dataset for your student.
Level 1= Easy
Level 2= Moderate
Includes an additional PDF with background information and extra resources. These topics are a good starting place for students who are new to data analysis.
Healthy aquatic habitats usually have dissolved oxygen levels at or above 80% saturation. Most fish and other organisms cannot live below 30% dissolved oxygen saturation, which is considered hypoxic.
Dataset representing wildlife encounters recorded by trail cameras during the late summer and fall, 2015-2016. [Location: Cary Institute, Millbrook NY]
Looking at abiotic factors such as stream temperature, stream depth and conductivity can indicate the health of the stream as well as the surrounding land.
Litter was collected from two marsh plants: Phragmites australis (common reed) and Typha angustifolia (cattail). Microbial productivity was measured for both bacteria and fungi.
From 1999-2015, researchers and students aboard the sloop Clearwater tracked the populations of over 100 aquatic macroinvertebrate species - mostly fish and crabs - in the Hudson River using trawl nets. This dataset shows how species density and diversity have shifted over time, and how these shifts vary based on location.
These data come from the National Oceanic and Atmospheric Administration (NOAA) Battery Park monitoring station in New York City, and cover the years 1856-2014.
This dataset shows the stream depth, conductivity, discharge, and temperature of the Wappinger Creek. Looking at abiotic factors such as stream temperature, stream depth and conductivity can indicate the health of the stream as well as the surrounding land.
Using sediment cores collected from deep below the surface of seas and lakes, scientists can analyze things like macrofossils, temperature, pollen, and more from thousands of years ago.
These data show water quality levels for dissolved oxygen and fecal coliform bacteria at Manhattan.
Using data from the Hudson River Environmental Conditions Observation System (HRECOS), you can track the storm and its effect on the river.
The Cary Institute's Environmental Monitoring Program provides information about current conditions and long-term trends.
Researchers at the Cary Institute set up sample plots on the Cary Institute grounds in Millbrook, NY. Researchers searched the following substrates within the plots: live trees, dead trees, leaf litter, and rocks.
Register for Data Jam
April 29 – Competition registrations and parent/guardian consent forms due.
May 20– Project submissions due online by 11:59pm EST.
June 12 – Data Jam Expo and Awards Ceremony at Cary Institute. All prizes awarded during the event.