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Links to underwater videosSource

Data is a video. Meta data in reprint. This dataset is associated with the following publication: Angradi, T. A field observation of rotational feeding by Neogobius melanostomus. Fishes. MDPI AG, Basel, SWITZERLAND, 3(1): 1-6, (2018).

0
No licence known
Tags:
dreissenagreat lakesround gobyvideo
Formats:
API
United State Environmental Protection Agencyabout 1 year ago
R scriptSource

This file includes an annotated R script used for data analysis for this project. Data files called in this script are also uploaded. Annotations within the script equate to metadata. This dataset is associated with the following publication: Wick, M., T. Angradi, M. Pawlowski, D. Bolgrien, R. Debbout, J. Launspach, and M. Nord. Deep Lake Explorer: A web application for crowdsourcing the classification of benthic underwater video from the Laurentian Great Lakes. JOURNAL OF GREAT LAKES RESEARCH. International Association for Great Lakes Research, Ann Arbor, MI, USA, 46(5): 1469-1478, (2020).

0
No licence known
Tags:
benthoscitizen sciencecrowdsourcingdreissenagreat lakesround gobyunderwater video
Formats:
DOCX
United State Environmental Protection Agencyabout 1 year ago
deep-lake-explorer-subjects.xlsxSource

These data were exported from Deep Lake Explorer and include metadata about the subjects (video clips) analyzed in DLE. A data dictionary is included as a separate sheet within this spreadsheet. See R script for data analysis. This dataset is associated with the following publication: Wick, M., T. Angradi, M. Pawlowski, D. Bolgrien, R. Debbout, J. Launspach, and M. Nord. Deep Lake Explorer: A web application for crowdsourcing the classification of benthic underwater video from the Laurentian Great Lakes. JOURNAL OF GREAT LAKES RESEARCH. International Association for Great Lakes Research, Ann Arbor, MI, USA, 46(5): 1469-1478, (2020).

0
No licence known
Tags:
benthoscitizen sciencecrowdsourcingdreissenagreat lakesround gobyunderwater video
Formats:
XLSX
United State Environmental Protection Agencyabout 1 year ago
phase-ii-classifications.xlsxSource

This file contains the individual classifications done by users on Zooniverse for the video clip subjects. Metadata is in the file as a separate spreadsheet. See R script for data analysis. This dataset is associated with the following publication: Wick, M., T. Angradi, M. Pawlowski, D. Bolgrien, R. Debbout, J. Launspach, and M. Nord. Deep Lake Explorer: A web application for crowdsourcing the classification of benthic underwater video from the Laurentian Great Lakes. JOURNAL OF GREAT LAKES RESEARCH. International Association for Great Lakes Research, Ann Arbor, MI, USA, 46(5): 1469-1478, (2020).

0
No licence known
Tags:
benthoscitizen sciencecrowdsourcingdreissenagreat lakesround gobyunderwater video
Formats:
XLSX
United State Environmental Protection Agencyabout 1 year ago
sitenamewithdrops.xlsxSource

This sheet correlates the subject_id (assigned by Zooniverse) to the SiteID, Video filename and DropSiteID. See R script for analysis. This dataset is associated with the following publication: Wick, M., T. Angradi, M. Pawlowski, D. Bolgrien, R. Debbout, J. Launspach, and M. Nord. Deep Lake Explorer: A web application for crowdsourcing the classification of benthic underwater video from the Laurentian Great Lakes. JOURNAL OF GREAT LAKES RESEARCH. International Association for Great Lakes Research, Ann Arbor, MI, USA, 46(5): 1469-1478, (2020).

0
No licence known
Tags:
benthoscitizen sciencecrowdsourcingdreissenagreat lakesround gobyunderwater video
Formats:
XLSX
United State Environmental Protection Agencyabout 1 year ago
usercomments.xlsxSource

These data were exported from Deep Lake Explorer and include all comments made by volunteers on Deep Lake Explorer's Talk forum prior to 9/12/2019. A data dictionary is included as a separate sheet within this spreadsheet. See R script for data analysis. This dataset is associated with the following publication: Wick, M., T. Angradi, M. Pawlowski, D. Bolgrien, R. Debbout, J. Launspach, and M. Nord. Deep Lake Explorer: A web application for crowdsourcing the classification of benthic underwater video from the Laurentian Great Lakes. JOURNAL OF GREAT LAKES RESEARCH. International Association for Great Lakes Research, Ann Arbor, MI, USA, 46(5): 1469-1478, (2020).

0
No licence known
Tags:
benthoscitizen sciencecrowdsourcingdreissenagreat lakesround gobyunderwater video
Formats:
XLSX
United State Environmental Protection Agencyabout 1 year ago