1,721,005 research outputs found
Data and code for analyses in "The Use of Weighted Averages with Hedges: Is it Worth It?"
No full textThis repository contains R code to generate simulated meta-analyses and associated data.Buck, Robert J.; Fieberg, John R.; Larkin, Daniel J.. (2021). Data and code for analyses in "The Use of Weighted Averages with Hedges: Is it Worth It?". Retrieved from the University Digital Conservancy, https://doi.org/10.13020/2an3-ej53
Complete data and code to generate datasets in: Occurrence and environmental data for aquatic plants of Minnesota from 1999-2018
No full textThis repository contains the code and input output data needed to generate the datasets (also included here as output data) presented in the companion manuscript. An .html format report is included which show the detailed process that was followed to generate the dataset but does not require a user to run R scripts to view.A dataset (and multi-scale aggregations thereof) of point-level occurrences, relative abundances, and associated environmental data for macrophytes (freshwater plants) across Minnesota. The data encompass 3,194 surveys of 1,520 lakes and ponds performed over a 19-year timespan. A total of 372,091 points were sampled, across which 231 taxa were recorded. Macrophyte occurrence data and depth, as well as point-level relative-plant-abundance measures for a subset of surveys, were collated, cleaned, and joined to geospatial data and Secchi-depth measurements of water clarity, enabling light availability, a primary control on aquatic plant growth, to be estimated.Minnesota Environment and Natural Resources Trust Fund as recommended by the Minnesota Aquatic Invasive Species Research Center (MAISRC) and the Legislative-Citizen Commission on Minnesota Resources (LCCMR)USDA National Institute of Food and Agriculture through the Minnesota Agricultural Experiment StationMidwestern Aquatic Plant Management Society through the Robert L. Johnson Research Memorial GrantNational Science Foundation Graduate Research Fellowship Program under Grant No. CON-75851, project 00074041. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author and do not necessarily reflect the views of the National Science FoundationVerhoeven, Michael; Larkin, Daniel J.. (2024). Complete data and code to generate datasets in: Occurrence and environmental data for aquatic plants of Minnesota from 1999-2018. Retrieved from the Data Repository for the University of Minnesota (DRUM), https://doi.org/10.13020/av1t-c667
Complete Data and Analysis for: Effects of seed traits and dormancy break treatments on germination of four aquatic plant species
No full textThere are two data files--one for germination and one for viability--each comprising a set of seeds (each row is a seed) with measured traits, the treatments to which they were subjected (germination only) and their germination date or viability assessment. Germination trial data from the chamber and seed photos referenced in the datasets are also included. The script included will read these files into R and conduct the analyses included in the companion manuscript.This repository contains the raw data and code necessary to conduct the analyses in the companion paper.This research was supported by: the Minnesota Environmental and Natural Resources Trust Fund as recommended by the Minnesota Aquatic Invasive Species Research Center and the Legislative-Citizen Commission on Minnesota Resources (M.V., D.L.); the Undergraduate Research Opportunities Program at the University of Minnesota (J.B.); the National Science Foundation (M.V., Graduate Research Fellowship Program [Grant No. CON-75851, project 00074041]); and the USDA National Institute of Food and Agriculture through the Minnesota Agricultural Experiment Station (D.L.). Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.Verhoeven, Michael R; Bacon, Jonah A; Larkin, Daniel J. (2023). Complete Data and Analysis for: Effects of seed traits and dormancy break treatments on germination of four aquatic plant species. Retrieved from the Data Repository for the University of Minnesota (DRUM), https://doi.org/10.13020/nv5v-6d63
Terrestrial gastropod collection data taken during an experiment co-grazing goats with waterfowl at UMN's Rosemount Research and Outreach Center
No full textA csv data file and a readme file with meta-data.The data describe terrestrial gastropod sampling from an experiment examining whether co-grazing goats with waterfowl can reduce the number of intermediate hosts of a potentially deadly parasite, Parelaphostrongylus tenuis. Data were collected during two years and at two timepoints at UMN's Rosemount Research and Outreach Center, specifically in Lone Rock Woods. Data may be useful for others doing an inventory of terrestrial gastropod species in Minnesota. It is being released in conjunction with a manuscript currently in revision with EcoHealth.Minnesota Invasive Terrestrial Plant and Pest CenterMarchetto, Katherine M; Linn, Morgan M; Larkin, Daniel J; Wolf, Tiffany M. (2021). Terrestrial gastropod collection data taken during an experiment co-grazing goats with waterfowl at UMN's Rosemount Research and Outreach Center. Retrieved from the University Digital Conservancy, https://doi.org/10.13020/pz48-e352
R Code, Data, and Output Supporting: A within-lake occupancy model for starry stonewort, Nitellopsis obtusa, to support early detection and monitoring
No full textPlease see the readme file provided in this submission for details on the files included here, which include raw and processed data files as well as several R scripts.These data and files support the published paper "A within-lake occupancy model for starry stonewort, Nitellopsis obtusa, to support early detection and monitoring" | Scientific Reports (nature.com). It contains both input files and data as well as processed output files from the modeling effort described in the paper, which uses predictor variables to predict both occupancy and detection for within-lake locations by starry stonewort, an invasive aquatic macrophyte. The files being submitted include everything needed to fully replicate and further interpret our results and provide a framework for constructing similar models in similar contexts.Minnesota Aquatic Invasive Species Research CenterMinnesota Environmental and Natural Resources Trust FundLegislative-Citizen Commission on Minnesota ResourcesMinnesota Agricultural Experimental StationBajcz, Alex W; Glisson, Wesley; Larkin, Daniel J; Fieberg, John. (2022). R Code, Data, and Output Supporting: A within-lake occupancy model for starry stonewort, Nitellopsis obtusa, to support early detection and monitoring. Retrieved from the Data Repository for the University of Minnesota (DRUM), https://doi.org/10.13020/bc08-rf86
Data in support of: Minnesota Carp Management Effectiveness Assessment-A technical report on statewide carp management as a lake restoration strategy
No full textThe data files include all carp management, water quality, aquatic plant, lake and watershed characteristics, and lake management variables (columns) derived to the lake year level (rows) and all the code used to input, clean, and harmonize raw data; join intermediate data products; evaluate and visual pre/post change with management; and evaluate and visualize the relationships between carp management, carp biomass, and lake response variables. More detailed descriptions of the data and R files can be found in the "readme_CarpManagement.txt" file.This dataset supports the technical report, "Minnesota Carp Management Effectiveness Assessment-A technical report on statewide carp management as a lake restoration strategy", prepared for the Minnehaha Creek Watershed District from April 2024 through July 2025. The research team (University of Minnesota researchers and Minnehaha Creek Watershed District staff co-authors here) collected carp biomass estimates and removal data from carp management projects conducted by local management organizations. Water quality data was provided by the Minnesota Pollution Control Agency Environmental Quality Information System (EQuIS) and supplemented using the LAGOS-NE Research Platform. Aquatic plant point-intercept survey data were obtained from the Minnesota Aquatic Invasive Species Research Center (MAISRC) PI Charter App database. Carp management metrics were derived by the research team.Minnehaha Creek Watershed DistrictWalsh, Jake R; Sweet, Jill; Larkin, Daniel J; Beck, Brian. (2025). Data in support of: Minnesota Carp Management Effectiveness Assessment-A technical report on statewide carp management as a lake restoration strategy. Retrieved from the Data Repository for the University of Minnesota (DRUM), https://hdl.handle.net/11299/276626
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe 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
Complete Data and Analysis for: Constraining invader dominance: Effects of repeated herbicidal management and environmental factors on curlyleaf pondweed dynamics in 50 Minnesota lakes
No full textThe data file contains ice cover, snowcover, Secchi measurements, and herbicide management information for a set of lakes in MN where curlyleaf pondweed abundance was being measured for within the time period of 2006-2015. These data were compiled as described in the associated manuscript (https://doi.org/10.1111/fwb.13468). The Program R code will read in and summarize those data, evaluate the influence of these environmental and management parameters on abundance of curlyleaf pondweed, and create visualizations used in publication.Curlyleaf pondweed (Potamogeton crispus) is one of the most widespread and widely managed aquatic invasive plants in North America. Despite decades of management, the efficacy of long-term management strategies and the effects of environmental drivers on curlyleaf pondweed populations remain uncertain. To evaluate the effects of management and environmental factors on within-lake distribution and local density of curlyleaf pondweed, we collated monitoring data from aquatic plant point-intercept surveys collected by a variety of lake managers across Minnesota, USA. The goal of the study was to examine the influence of herbicide treatment, water clarity, snow depth, and ice cover duration on curlyleaf pondweed distribution and density between 2006 and 2015. The data included in this repository includes the complete dataset as a comma-separated-value file and all Program R code necessary to replicate the data processing, analysis, and visualizations used in the study.National Institute of Food and AgricultureLegislative-Citizen Commission on Minnesota ResourcesMinnesota Aquatic Invasive Species Research CenterMinnesota Environmental and Natural Resources Trust FundVerhoeven, Michael R; Larkin, Daniel J; Newman, Raymond M. (2020). Complete Data and Analysis for: Constraining invader dominance: Effects of repeated herbicidal management and environmental factors on curlyleaf pondweed dynamics in 50 Minnesota lakes. Retrieved from the Data Repository for the University of Minnesota (DRUM), https://doi.org/10.13020/aw92-e606
Phenology data for watermilfoil taxa Myriophyllum spicatum, M. sibiricum, and M. spicatum x M. sibiricum in Minnesota, USA, 2017 - 2018
No full textThe files include data collected at each Myriophyllum sampling location over the course of the study, including data collected at the water's surface (Myriophyllum flower heads, Myriophyllum surface cover, and water chemistry) and data collected with the underwater video sampling device (Myriophyllum stem counts and vertical stem cover). Surface data include a single row for each site (i.e., point location) on each lake for each sampling event. The underwater stem data includes multiple rows for for each site on each lake for each sampling event; these rows correspond to four video subsamples collected at each site, and subsequent 0.5-m depth intervals at which Myriophyllum stems were assessed for each subsample. Additionally, there is a data file that includes biomass measurements that correspond to stem counts from video subsamples. Data across files can be linked via "siteID".In North America, the hybrid aquatic plant Myriophyllum spicatum × Myriophyllum sibiricum (hybrid watermilfoil, HWM) is a cross between non-native invasive Eurasian watermilfoil (M. spicatum, EWM) and native northern watermilfoil (M. sibiricum, NWM). We compared HWM to its parental taxa, EWM and NWM, by examining the amount and timing of: 1) flowering, 2) surface cover, and 3) biomass (using stem counts as a proxy). We conducted repeat surveys of Myriophyllum beds at eight lakes (2–3 lakes/taxon) in the Minneapolis-St. Paul Metropolitan area (Minnesota, USA) between June 2017 and November 2018. To sample biomass without destroying plants, we developed a novel sampling device that uses underwater video to measure Myriophyllum stems; we validated the utility of this device by comparing Myriophyllum stem counts and biomass collected from the same locations. The data from these studies are provided and documented here.U.S. Army Corps of Engineers Research and Development Center (Cooperative Agreement Number: W912HZ-16-2-0011)Minnesota Aquatic Invasive Species Research CenterGlisson, Wesley J; Larkin, Daniel J. (2021). Phenology data for watermilfoil taxa Myriophyllum spicatum, M. sibiricum, and M. spicatum x M. sibiricum in Minnesota, USA, 2017 - 2018. Retrieved from the Data Repository for the University of Minnesota (DRUM), https://doi.org/10.13020/5xq3-wb66
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