Work Description
Title: CHANGES Project - Limnology (LIMN) Open Access Deposited
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(2024). CHANGES Project - Limnology (LIMN) [Data set], University of Michigan - Deep Blue Data. https://doi.org/10.7302/vvw5-6094
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Files (Count: 3; Size: 110 KB)
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_LIMN_Readme.txt | 2024-09-24 | 2024-09-24 | 2.5 KB | Open Access |
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LIMN_Final.csv | 2024-10-25 | 2024-10-25 | 51.2 KB | Open Access |
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LIMN_image_reference.csv | 2024-11-22 | 2024-11-22 | 56.1 KB | Open Access |
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Date: 22 August, 2024
Dataset Title: CHANGES Project - Limnology (LIMN)
Dataset Creators: K.M. Alofs, J. Schell, K.B.S. King, A. Thomer, K. Wehrly, & H. Lopez-Fernandez
Dataset Contact: Karen Alofs [email protected]
Funding: Michigan Institute For Data & AI In Society (MIDAS) Propelling Original Data Science Grant
Research Overview:
Archives at the Institute for Fisheries Research (IFR) hold records of thousands of lake surveys from the University of Michigan and Michigan Department of Natural Resources. The records contained in this dataset are jpeg images of the index card records from the IFR surveys for Limnology (LIMN). Images include the front of the card and when available, the back of a card.
Limnology is the study of lakes and bodies of freshwater. These cards include tabulated data of temperature and oxygen profiles, the temperature and oxygen concentrations at different depths.
Methodology:
The card images were scanned in batches using high throughput duplexing document scanners. Scanned cards were organized by card type, county, and lake name. We uploaded scanned images to Zooniverse after creating a CSV file that lists each file name. Zooniverse is a web-based community science platform that we used to transcribe selected fields from the cards in our project “Angling for Data on Michigan Fishes” (www.zooniverse.org). Each card received a unique identifier (subject_id), which can be linked to the front and back of a card (1 or 2 images), and to all transcriptions from that record.
Instrument and/or Software specifications: NA
Files contained here:
The folders show divisions based on the county where the lake resides. Within each county folder are jpeg images of index cards. The csv file is a guide for each subject_id and associated image/s.
The image files are named as follows: [CountyName]_[LakeName]_[CardType]_####_##.jpg, where the first set of numbers is sequential with each new card for a specific lake/county and the final number 01 or 02 denotes the first or second image associated with the same card (i.e. front or back of a card). In some instances the file name includes an alphanumeric string (Township, Range, and Section) after the lake name.
Related publication(s):
None
Use and Access:
This data set is made available under a Creative Commons Public Domain license (CC0 1.0).
To Cite Data:
K.M. Alofs, J. Schell, K.B.S. King, A. Thomer, K. Wehrly, & H. Lopez-Fernandez (2024). CHANGES Project - Limnology (LIMN) [Data set]. University of Michigan - Deep Blue.