1,721,085 research outputs found
Anthropogenic Litter Cleanups in Iowa Riparian Areas Reveal the Importance of Near-Stream and Watershed Scale Land Use
No full textIowaRiparianTrashFinal.R holds all code used to create figures and analyze data (all other files) for the publication Cowger,Gray, Schultz 2019.ModelStreamsRoadDist.csv holds model input for Road distance variable. ModelStreamsBufferArea.csv holds the buffer area to normalize road distance for model input.AllLandCorrelations.csv has correlations for all land types and litter types.ConfoundingFactorsCorrelation.csv contains confounding correlations. AnnualCleanup.shp are the results from cleanups. ModelOutput.shp is the output from modeled streams. 200m.csv - Watershed.csv are zonal statistics results in buffers around surveyed streams.BufferArea.csv is the area of the buffers used in zonal statistics. ModelResults.shp holds a shapefile of the model output for the litter in all Iowa streams.TrashandUrban.csv are original observations of litter in riparian areas. Questions can be directed to Win Cowger ([email protected])</div
Code and data: Global assessment of marine plastic risk exposure for oceanic birds (Submission).
No full textBethany L. Clark, Elizabeth J. Pearmain, Ana P. B. Carneiro, Win Cowger, & Maria P. Dias. (2023). Code and data: Global assessment of marine plastic risk exposure for oceanic birds (Submission)
Going Beyond Counting First Authors in Author Co-citation Analysis
Get PDFThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Estimating Floating Macroplastic Discharge in the Santa Ana River, California
No full textData and code for reproducible data analysis pipeline
Deep Learning Spectral Classification
No full textData and Github repository of code to be used in creating a CNN for classifying FTIR spectra
Litter origins, accumulation rates, and hierarchical composition on urban roadsides of the Inland Empire, California
No full textSupplemental Files, Data, Code, and Figures for Litter origins, accumulation rates, and hierarchical composition on urban roadsides of the Inland Empire, Californi
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