Daniel B. Corkran, David F. Boutt, Lee Ann Munk, Brendan J. Moran, Sarah McKnight, Alexander Kirshen, and Jordan Jenckes
This dataset contains SEAWAT groundwater-flow model input and output files for the study "Constraints on groundwater abstraction impacts in lithium brine systems". The model input files include all data associated with the parametric study.
Sucrose Concentration and Fermentation Temperature Impact the Sensory Characteristics and Liking of Kombucha - Data
Gil Cohen, David A. Sela, and Alissa A. Nolden
In this data set we can see the pH, brix, and titratable acidity measurements in triplicate, as well as the sensory study data. The kombucha batches were combined prior to sensory testing and measured for their combined titratable acidity as well.
Justin B. Richardson and Mark J. Butler
Trace element and nutrient data are for riparian soils, suspended sediments, eddy bottom sediments, and river water collected between 2019 and 2020 in the Thames River watershed of Connecticut, USA. Trace elements and nutrients were measured using EPA 3050B digestion method and analyzed by ICP-OES or ICP-MS.
Daniel Buonaiuto, Annette Evans, Mathew Fertakos, William Pfadenhauer, Justin Salva, and Bethany Bradley
Invasion status of non-native vascular plants established in the conterminous United States and their phylogenetic relationships to other invaders at multiple taxonomic resolutions.
Trans Women and Reproductive (In)Justice - How Race, Class, and Gender Shape Experiences of Family Formation and Parenthood
The following support document includes demographic data from my dissertation research, disaggregated to preserve the anonymity of respondents. It also includes two separate interview schedules for semi-structured interviews I conducted with trans women who were either currently parents (the first guide) or who want to be parents in the future (the second guide). My dissertation examines how race, class, and gender shape trans women’s parenting journeys. Trans women, and particularly trans women of color, experience high levels of discrimination across the contexts of employment, healthcare, and the legal system, yet remain virtually absent from contemporary research on family and parenting inequalities. I have conducted 54 semi-structured interviews with current and prospective parents across North America, including 27 white trans women and 27 trans women of color. Using the intersectional concepts of transmisogyny and racialized transmisogyny, I argue that trans women face unique barriers to parenting and becoming a parent but also share challenges with other minoritized parents. My findings speak more broadly to theory regarding the increased policing and regulation of motherhood (i.e., reproductive governance), the perceived link between motherhood and womanhood (i.e., R.W. Connell’s concept of mis/recognition), and ongoing transformations in family structure (i.e., queer and trans kinship studies). Whereas existing research on trans women often reduces them to victims of violence, my research highlights trans women’s resilience, resistance, and their ability to build families and community networks despite institutional barriers.
Historical plant sales (HPS) database: Documenting the spatiotemporal history of plant sales in the conterminous U.S.
Matthew Fertakos, Evelyn M. Beaury, Neil R. Ford, Nicole L. Kinlock, Denise W. Adams, and Bethany Bradley
The purpose of this database was to extract, standardize, and geocode the historical trade of vascular and non-vascular plant taxa sold in the horticultural industry of the conterminous United States. The HPS database aims to serve as a resource for analysis of contemporary patterns of introduced and invasive plants as well as for identifying opportunities to expand native plant sales in horticulture. Key data sources that make up this database include the Biodiversity Heritage Library's Seed and Nursery Catalog Collection, and the book Restoring American Gardens by D.W. Adams.
A comparison of three queen rearing techniques to improve sustainable small-scale beekeeping in the Northeast US
Hannah R. Whitehead, Ang Roell, Samuel A. Comfort, Bi Kline, and Lynn Adler
Appendix 1. Database of EICAT impact assessment summaries for 169 potential sleeper invasive plants in the Northeast United States
Ayodelé C. O'Uhuru, Bethany A. Bradley, Toni Lyn Morelli, and Justin Salva
Environmental Impacts Classification of Alien Taxa (EICAT) assessments for 169 introduced, established plants in the Northeast (states of CT, MA, ME, NH, NY, RI, VT) that could become invasive with climate change.
This dataset was prepared by Brian Yellen, a research assistant professor in the Department of Earth, Geographic, and Climate Sciences at the University of Massachusetts Amherst. Dr. Yellen worked in conjunction with Melissa Grader of the USFWS and colleagues to conduct the associated field sampling.
This report provides information related to the substrate grain size at surveyed locations on Rainbow Beach on the Connecticut River in Northampton, MA (42.322125, -72.584928). This location is a known breeding site of the endangered puritan tiger beetle (PTB), Ellipsoptera puritana.
Source Data for Xueyan Feng, Michael S. Dimitriyev & Edwin L. Thomas, "Soft, malleable double diamond twin"
Xueyan Feng, Michael S. Dimitriyev, and Edwin L. Thomas
Source data and code for Xueyan Feng, Michael S. Dimitriyev & Edwin L. Thomas, "Soft, malleable double diamond twin"
The influence of erosion and vegetation on soil production and chemical weathering rates in the Southern Alps, New Zealand
Isaac Larsen, Andre Eger, Peter C. Almond, Evan Thaler, J. Michael Rhodes, and Günther Prasicek
This data repository contains Supplementary Tables S1 – S13 which mirror files hosted by the publisher. The repository additionally contains a 0.5 m digital elevation model (DEM) derived from historical aerial photographs using structure-from-motion and multiple raster files of topographic derivatives of the DEM. The topographic derivatives include a raster of slope, mean local relief, and 56 rasters of topographic curvature, calculated using different combinations of smoothing window sizes (0, 0.5, 1, 1.5, 2, 2.5, 3, 3.5, 4, 4.5, 5, 7.5, 10, and 12.5 m) and the number of grid cells used in the surfaces for which curvature was constructed (3, 5, 7, and 9 cells).
Abundant, distinct, and seasonally dynamic bee community in the canopy-aerosphere interface above a temperate forest: Associated Data
Michael J. Cunningham-Minnick, Joan Milam, Brian Kane, H. Patrick Roberts, and David I. King
This dataset describes bees (Apoidea) sampled with blue vane traps at different heights within and above a temperate forest on the campus of University of Massachusetts Amherst from April through August of 2021, as well as the R-code used for data analyses. Specifically, it includes 2 files: 1) all data on individual specimens, including species identifications, occurrence dates and coordinates, and more information on encounter location and study design, and 2) All code used to generate figures and tables from the data that are included within the published manuscript.
Dylan M. Barber, Todd S. Emrick, Gregory Grason, and Alfred Crosby
Filamentous bundles are ubiquitous in Nature, achieving highly adaptive functions and structural integrity from assembly of diverse mesoscale supramolecular elements. Engineering routes to synthetic, topologically integrated analogs demands precisely coordinated control of multiple filaments’ shapes and positions, a major challenge when performed without complex machinery or labor-intensive processing. Here, we demonstrate a photocreasing design that encodes local curvature and twist into mesoscale polymer filaments, enabling their programmed transformation into target 3-dimensional geometries. Importantly, patterned photocreasing of filament arrays drives autonomous spinning to form linked filament bundles that are highly entangled and structurally robust. In individual filaments, photocreases unlock paths 16 to arbitrary, 3-dimensional curves in space. Collectively, photocrease-mediated bundling establishes a transformative paradigm enabling smart, self-assembled mesostructures that mimic performance-differentiating structures in Nature (e.g., tendon and muscle fiber) and the macro-engineered world (e.g., rope).
Data for << Shifting hotspots: Climate change projected to drive contractions and expansions of invasive plant abundance ranges>>
Annette Evans, Evelyn M. Beaury, Peder S. Engelstad, Nathan B. Teich, and Bethany A. Bradley
Invasive plant abundance data. Abundance data for 175 invasive plant species across the lower 48 United States. Each abundance record includes a UniqueID (numbers or characters that appeared to be a unique ID from the original dataset), the dataset from which the datapoint was derived from (see dataset_information.csv file for additional information on each dataset), decimal Longitude (Long), decimal Latitude (Lat), Species Code (SpCode, unique species identifier from USDA PLANTS database), cover (percentage cover), and CoverType (the type of abundance measurement in the cover column; either PercentCover, CoverClass, or AverageCoverClass).
Shifting hotspots: Climate change projected to drive contractions and expansions of invasive plant abundance ranges
Annette Evans, Evelyn M. Beaury, Peder S. Engelstad, Nathan B. Teich, and Bethany A. Bradley
This file contains maps of current and future abundance suitable habitat for 144 invasive plant species in the United States. Each tiff file represents the current or future range prediction maps of habitat suitable for supporting abundant populations (greater than or equal to 5% cover) of 144 invasive plant taxa, projected across the lower 48 States of the United States. Each tiff file is named with the USDA species code (SpCode) (see '1Species_information_Nov15.xlsx' file for full species names), with species codes followed by .2c indicating maps related to future climatic conditions under a +2oC warming scenario. Areas predicted to be climatically suitable for supporting abundant populations is based on model agreement and range from 0 (no models identify that area as suitable) to 15 (all model outputs identify the area as suitable). Values of 300 represent areas that are masked due to climate dissimilarity. See main publication for model fitting details.
Sarah McKnight, David F. Boutt, Lee Ann Munk, and Brendan Moran
In water-stressed arid basins, questions continue to mount over the compounding impacts of anthropogenic groundwater extraction and climate-driven perturbations on groundwater-surface water interactions and the resulting resilience of ecosystem-critical surface waters. Coupling groundwater and surface water level observations with surface water extents from Sentinel-2 data provides an unprecedented opportunity to evaluate surface water connectivity with local aquifers following intense, sporadic precipitation events in arid basins. Surface water area, surface water level, and groundwater level data were analyzed for trends following precipitation, including peak lag time, post-peak decline rates, and changes in hydraulic gradients. Results indicate variable connectivity following precipitation events between surface water change and groundwater level fluctuations in the upgradient freshwater aquifer with a Pearson correlation of 0.5-0.9, whereas the downgradient brine-to-brackish area of the aquifer indicated virtually no connectivity with the upgradient freshwater aquifer, having a correlation of $$ 0.9), though the log base value of that relationship spatially differs (0.01-0.03). Lumped parameter modeling of surface water inundation also constrains the possible hydrologic dynamics of the post-precipitation response of surface waters. While modeled influx to surface water seems primarily controlled by watershed hydraulics rather than direct hydraulic connectivity of the aquifers, the relationship between surface water and adjacent groundwater levels coupled with surface water area indicate that local aquifers are primarily connected to the surface water bodies through discharge via subsurface infiltration. Modeling results imply that the existence of brine-adjacent surface waters in arid basins are extremely reliant on upgradient discharge from freshwater aquifers despite limited implications for surface water being directly connected hydraulically with local aquifers, and yet that preferential pathways coupled with upgradient spring-fed runoff are a critical physical aspect of recharge to surface waters in arid basins. Our results further support that marginal surface water systems can themselves serve as a critical recharge mechanism to local aquifers.
Model data for 'The Paris Agreement and climate justice: inequitable impacts of sea level rise associated with temperature targets'
Shaina Sadai, Natalya Gomez, and Robert DeConto
This is the data repository associated with the manuscript "The Paris Agreement and climate justice: inequitable impacts of sea level rise associated with temperature targets". The data contained here is related to the sea level rise fingerprints generated for the study. These include the projected sea level rise fingerprint data at years 2100, 2200, and 2300 under emissions scenarios RCP4.5 and RCP8.5. For RCP4.5 data are from ice sheet simulations which include marine ice sheet instability. For RCP8.5 data is presented for two scenarios- one which includes only marine ice sheet instability and one that includes both marine ice sheet instability as well as marine ice cliff instability. Details about the content of the data repository can be found in the readme.txt file located in the repository.
The Intersection of Bee and Flower Sexes: Pollen Presence Shapes Sex-Specific Bee Foraging Associations in Sunflower
Justin C. Roch, Rosemary Malfi, Jennifer I. Van Wyk, Deicy Carolina Muñoz Agudelo, Joan Milam, and Lynn S. Adler
We evaluated whether female or male bees were more abundant on sunflowers, whether female bees were more abundant on pollen-fertile or pollen-sterile sunflower cultivars, and whether the bee community differed between pollen-fertile and pollen-sterile sunflower cultivars. We further evaluated whether bee communities were shaped by local floral resources and landscape composition. We sampled bees visiting sunflowers (Helianthus spp.) from 14 farms in the Connecticut River Valley of western Massachusetts between 25 July to 27 September 2019, typically making two sampling visits to a farm. We also measured floral resource diversity and abundance at the farms, and categorized the landscape types at 500 m, 1000 m, 1500 m, and 2500 m radii around the farms using GIS data. All sampled bees were identified to species or species complex. An associated manuscript with this title and these authors is being submitted for publication.
Michael Cunningham-Minnick, H. Patrick Roberts, Brian Kane Ph.D., Joan Milam, and David I. King Ph.D.
HOBO logger data of hourly measurements at canopy-aerosphere interface from June to August above temperate forest on campus of University of Massachusetts. Weather station data (precipitation and wind speeds) from nearby weather station extracted from Mesowest.com and needed for manuscript figures. Code (R language) to recreate foundation of figures in manuscript.
Wenxiu Teng, Qian Yu, Ivan Mischenko, Alexandrea Rice, and Justin Richardson
Ayodelé O'Uhuru, Bethany A. Bradley, and Toni Lyn Morelli
Thousands of non-native plant species have been introduced and naturalized outside of their native ranges. A small portion of these naturalized species go on to become invasive, spreading away from sites where they initially naturalized and causing negative ecological impacts. In some cases, abiotic limitations, such as cold temperatures, prevent naturalized species from becoming invasive within all or a portion of their non-native range. However, rising temperatures due to climate change could lead to rapid population growth of some naturalized populations, triggering new invasions of these ‘sleeper populations’. Here, we present a database of impact assessments for 179 species naturalized in one or more northeastern state (CT, MA, ME, NH, NY, RI, VT). This database can be used to prioritize invasive species management to prevent the awakening of high-impact sleeper populations.
Sunflower plantings reduce a common gut pathogen and increase queen production in bumble bee colonies
Rosemary L. Malfi, Quinn S. McFrederick, Giselle Lozano, Rebecca E. Irwin, and Lynn S. Adler
We evaluated whether plantings of sunflower (Helianthus annuus), whose pollen reduces infection by some pathogens when fed to bees in captivity, lowered pathogen levels and increased reproduction in free-foraging bumble bee colonies (Bombus impatiens). We placed pairs of commercial colonies of B. impatiens at 20 mixed vegetable farms in western Massachusetts between Jul-23 and Oct-6 2019. Flowering resources typically visited by bumble bees were quantified at each farm twice to characterize abundance and diversity. We also visited each farm 3-4 times and at each visit, we (a) recorded colony weights to track growth, (b) collected ~10 corbicular loads from returning foragers (per site) to assess usage of sunflower and other Asteraceae, and (c) collected 10 returning foraging workers from each colony entrance for later pathogen analysis. Visual assessment of pathogen samples and pollen composition occurred at UMass Amherst during the 2019-20 academic year. Molecular assessment of pathogen samples occurred at UC Riverside. An associated manuscript with this title and these authors is being submitted for publication.
Erin Jerome, Thea Atwood, Melanie Radik, and Rebecca M. Seifried
This dataset contains two spreadsheets: 1) an in-depth functionality assessment of Digital Commons based on the University of Pennsylvania's "Platform Functionality Review" (https://penntrl.wordpress.com/2019/01/23/scrip-appendices/); 2) a running list of required functionality for an institutional repository platform.
The spreadsheets accompany a forthcoming book chapter, "Envisioning the Future of a Mature IR: A Midlife Assessment of ScholarWorks@UMassAmherst".
Forecasts of landscape evolution and soil organic carbon redistribution in the Midwestern United States
Jeffrey S. Kwang, Evan Thaler, and Isaac Larsen
In the Midwestern US, agricultural practices, i.e. tillage, causes soil erosion that changes how soil organic carbon (SOC) is naturally distributed across the landscape. We use a landscape evolution model (LEM) to predict how landscapes and SOC change from 2020 to 2520 across 410 counties located in Illinois, Indiana, Iowa, Kansas, Minnesota, Missouri, Nebraska, North Dakota, South Dakota, and Wisconsin. Initial distributions of SOC were estimated with the gridded Soil Survey Geographic (gSSURGO) dataset, maintained by the US Department of Agriculture, Natural Resources Conservation Service. The initial topography was built from various state LiDAR-derived (Light Detection and Ranging) digital elevation models.
For each county, the model outputs .tif files (every 80 years) that show the spatial distribution of elevation and SOC. In addition, .csv files are generated that record county-averaged values of soil erosion, soil deposition, SOC erosion, SOC deposition, and other variables at a higher temporal resolution (every 0.25 years).