More Like this

1. Corrigendum to “A simpler proof of toroidalization of morphisms from 3-folds to surfaces”

   https://doi.org/10.5802/aif.3604  

   Cutkosky, Steven Dale (January 2024, Annales de l'Institut Fourier)

   unknown (Ed.)

   The page and line numbers refer to the manuscript which is posted on my webpage, www.math.missouri.edu/ ̃dale. This is the published version (Annales de L’Institut Fourier 63 (2013), 865 - 922), but the page and line numbers are different. A case was missed in Lemma 3.7 (Case (A) and a modification of (15) in the restatement of Definition 3.3 below). The consideration of this new case does not introduce any significant change in the proof. I have written out in detail all of the changes which need to be made in the manuscript to incorporate this new case. Numbers indexing equations, theorems, defini- tions etc. are as in the earlier manuscript. New equations, theorems etc. are indexed by letters. I thank Andre Belotto and Ed Bierstone for pointing out that a case was missed in the original Lemma 3.7. 

   more » « less
2. In-Canopy Biogenic Volatile Organic Compounds Mixing Ratios at the Virginia Forest Lab

   https://doi.org/10.17632/jx3vn5xxcn.2  

   McGlynn, Deborah (January 2022, Mendeley)

   {"Abstract":["Two years (September 15th, 2019-September 14th, 2021) of biogenic volatile organic compound concentration data from within the canopy of a forest in Fluvanna County, Virginia. An associated manuscript is published in atmospheric chemistry and physics titled - "Measurement Report: Variability in the composition of biogenic volatile organic compounds in a southeastern US forest and their role in atmospheric reactivity". The doi for this manuscript is: 10.5194/acp-2021-416.\n\nThe original version of this data set did not correct for when the data was sampled vs. when it was analyzed. The most recent version has been updated to reflect this and additional detail has been provided. Additionally, the calibration method for methacrolein and methyl vinyl ketone has been updated in this version of the data set. Given these changes, we ask that you use the most recent version.\n\nAdditional manuscripts associated with this data include: 'Minor contributions of daytime monoterpenes are major contributors to atmospheric reactivity' which discusses diurnal and seasonal variability found within the data and 'An autonomous remotely operated gas chromatograph for chemically resolved monitoring of atmospheric volatile organic compounds' which outlines the instrument developed for data collection and compound integration.\n\nThis will be the final update of this data set. Data collection is ongoing indefinitely, but future additions to the data set will be migrated to Dryad. Please email with any questions you may have regarding data collection or the data set."]} 

   more » « less
3. Melt pond UNet for the segmentation of the Arctic area, Aug-Sept 2005

   https://doi.org/10.18739/A20G3H067  

   Sultana, Aqsa; Asari, Vijayan; Sudakow, Ivan; Liu, Ruixu; Demchev, Denis (January 2022, NSF Arctic Data Center)

   The dataset contains aerial photographs of Arctic sea ice obtained during the Healy-Oden Trans Arctic Expedition (HOTRAX) captured from a helicopter between 5 August and 30 September, 2005. A total of 1013 images were captured, but only 100 images were labeled. The subset of 100 images was created exclusively for the purpose of segmenting sea ice, meltponds, and open water. Original images, labels, and code for segmentation are included in the above files. For dataset, refer site: Ivan Sudakow, Vijayan Asari, Ruixu Liu, & Denis Demchev. (2022). Melt pond from aerial photographs of the Healy–Oden Trans Arctic Expedition (HOTRAX) (1.0) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.6602409 Manuscript: I. Sudakow, V. K. Asari, R. Liu and D. Demchev, "MeltPondNet: A Swin Transformer U-Net for Detection of Melt Ponds on Arctic Sea Ice," in IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 15, pp. 8776-8784, 2022, doi: 10.1109/JSTARS.2022.3213192. 

   more » « less
4. Wildfire effects on aquatic chemistry (Yukon Kuskokwim Delta, Alaska), 2015-2019

   https://doi.org/10.18739/A2K35MF90  

   Zolkos, Scott; MacDonald, Erin; Hung, Jacqueline; Schade, John; Ludwig, Sarah; Mann, Paul; Treharne, Rachael; Natali, Susan (January 2022, NSF Arctic Data Center)

   Data from this study originate from the NSF (National Science Foundation) Polaris Project. The Polaris Project integrates scientific research in the Arctic-boreal region with education and outreach, with a primary focus on engaging and inspiring the next generation of scientists. The overarching scientific issue that drives the Polaris Project is the vulnerability and fate of ancient carbon stored in perennially frozen ground, permafrost. Although extensive permafrost thaw is expected to occur across the northern permafrost region this century, large uncertainties remain in the timing, magnitude, and form of carbon that will be released. Participants of the Polaris Project conducted field research in the Yukon-Kuskokwim Delta (YKD), collaborating to make fundamental scientific discoveries related to the transformation and fate of thawed permafrost carbon, and implications for global climate. This data set includes aquatic chemistry data from expeditions to the YKD during 2015–2019. Parameters measured include water temperature, pH, dissolved oxygen, conductivity, dissolved organic and inorganic carbon, nitrogen species, phosphorous, greenhouse gases, stables isotopes of carbon and water, optical properties of water, and fluxes of methane and carbon dioxide made in the field. These data were compiled and underwent quality assurance / quality control specifically for the scientific objectives of the manuscript published by Zolkos et al. (2022). Consequently, this dataset contains a modified version of Polaris Project YKD aquatic chemistry data previously published for 2015–2016 (http://doi.org/10.18739/A22804Z8M) and 2017 (http://doi.org/10.18739/A23775V7T). Data from 2018–2019 were not previously published. Therefore, users interested in the original datasets for 2015–2017 are encouraged to access them via the provided links, while users interested in the data and metadata specific to the associated manuscript by Zolkos et al. are encouraged to use this companion dataset. 

   more » « less
5. Undergraduate Tutorial for Simulating Flocking with the Vicsek Model

   https://doi.org/10.35459/tbp.2022.000227  

   Tabatabai, A. Pasha; Thomson, MacQuarrie; Keller, Reece (August 2023, The Biophysicist)

   ABSTRACT There are many instances of collective behaviors in the natural world. For example, eukaryotic cells coordinate their motion to heal wounds; bacteria swarm during colony expansion; defects in alignment in growing bacterial populations lead to biofilm growth; and birds move within dynamic flocks. Although the details of how these groups behave vary across animals and species, they share the same qualitative feature: they exhibit collective behaviors that are not simple extensions of details associated with the motion of an individual. To learn more about these biological systems, we propose studying these systems through the lens of the foundational Vicsek model. Here, we present the process of building this computational model from scratch in a tutorial format that focuses on building the appropriate skills of an undergraduate student. In doing so, an undergraduate student should be able to work alongside this article, the corresponding tutorial, and the original manuscript of the Vicsek model to build their own model. We conclude by summarizing some of the current work involving computational modeling of flocking with Vicsek-type models. 

   more » « less