ScholarWorks@UMass Amherst

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  Data for Autonomous snapping and jumping polymer gels

  Alfred J. Crosby, Yongjin Kim, and Jay van den Berg

  Data for publication "Autonomous snapping and jumping polymer gels" by Yongjin Kim, Jay van den Berg, and Alfred J. Crosby. 2020.

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  Massachusetts Beach Grain Size and Slope Data

  Jonathan Woodruff, Nicholas Venti, Stephen Mabee, Alycia DiTroia, and Douglas Beach

  This data repository contains grain size and beach face slope data from approximately 100 paired summer and winter transects collected along 18 separate beaches in southern New England. The study is focused to beaches of Massachusetts, which represents a particularly unique section of the Northeastern US coast in that it: 1) lies at the interface between New England’s paraglacial lowlands and Mid-Atlantic Coastal Plain, 2) spans both micro- and meso- tidal regimes, 3) encompasses a wide range of seasonally varying wave conditions, and 4) contains a diverse array of geomorphic and grain size characteristics. Between 2 and 10 intertidal transects were conducted for each of the sites depending on the length of the beach and accessibility. Transect positions were chosen at representative locations along the beach and equally spaced when possible. At each transect at least three separate samples were collected at near 1) high-tide, 2) mid-tide and 3) low-tide. When possible, additional samples were collected along berm crest, storm berms and dune. To assess seasonal variations in grain size distribution and slope, all transects along beaches were sampled and surveyed twice, once at the end of the summer and then revisited again at the end of the winter season. Surface sediments from the top 15-30 cm were collected from sites primarily composed of sand and pebbles (i.e. < 64 mm), and brought back to the University of Massachusetts in Amherst, MA for analysis. Exclusively sand samples were collected in 1-liter (1-quart) bags, predominantly sand samples were collected in 4-liter (1-gallon) bags and mixed sand and pebble samples in 19 -liter (5 gallon) buckets. Areas comprised primarily of cobbles and boulder (> 64 mm) were measured in the field using a gravelometer and standard pebble count technique. Sediment samples were washed and dried thoroughly to remove salt and debris (sticks, seaweed, etc.). Each sample was weighed and sub-divided into fractions greater and less than 4 mm. Distributions for grains greater than 4 mm were obtained via standard sieving techniques. Grain size distributions for sample fractions < 4 mm were measured on a CAMSIZER digital particle size analyzer capable of measuring particles between 30 μm and 4 mm. The elevation of each sampling location as well as inter-tidal beach slope for each transect was obtained using a using a Real Time Kinematic (RTK) GPS survey system or a total station survey system tied to local benchmarks.

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  Data for "Hydrogeologic and Geochemical Distinctions within Freshwater Brine Systems in Salar Environments"

  Lee Ann Munk, David F. Boutt, Brendan Moran, Sarah McKnight, and Jordan Jenckes

  All chemistry and striontium isotope data for the study, "Hydrogeologic and Geochemical Distinctions within Freshwater Brine Systems in Salar Environments".

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  Global Plant Invaders: a compendium of invasive plant taxa documented by the peer-reviwed literature

  Brittany B. Laginhas and Bethany A. Bradley

  The purpose of the global invaders database was to create a list of non-native, invasive plant species reported worldwide in the English language scientific literature reported in Web of Science.

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  Results from "Impact of Hydrostratigraphic Continuity in Heterogeneity on Brine-to-Freshwater Interface Dynamics; Implications from a 2-D Parametric Study in an Arid and Endorheic Basin"

  Sarah McKnight, David F. Boutt, and Lee Ann Munk

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  Data on Fossil Fuel Divestment Commitments through March 2018

  Tyler Hansen and Robert Pollin

  This dataset includes information on fossil fuel divestment commitments that took place as part of the fossil fuel divestment movement through Mar. 23, 2018. The dataset includes the following variables: name of organization, type of organization, home country of organization, type of divestment commitment, date of divestment commitment, and total assets under management of the organization committing to divest. Divestment commitment data was shared with the authors by 350.org. The authors verified and made corrections to two subsets of the data: organizations with assets under management of at least $1 billion which committed to fully divesting from all fossil fuels, and organizations with assets under management of at least $90 billion which committed to divesting from some, but not all, fossil fuels. 350.org granted permission for the data to be made public.

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  Data for "The Efficacy of Allocating Housing Growth in the Los Angeles Region (2006-2014)"

  Darrel Ramsey-Musolf

  This data set contains the data used in the descriptive and inferential analyses referenced in all tables, figures, and maps.

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  Dam Impoundments Sediment Mass – Tributaries to the Hudson River

  Brian Yellen and Jonathan Woodruff

  This repository contains data from sediment cores collected during 2017-2018 from 17 impoundments that are located on tributaries to the tidal portion of the Hudson River as part of a larger NERRs collaborative project entitled Dams and Sediment on the Hudson (DaSH). A companion dataset that contains sediment core data from Hudson tidal marshes is archived at UMass Scholarworks data repository. Sediment cores collected from impoundments behind dams were recovered via piston push coring, which tends to minimize compaction and be representative of true sediment thicknesses. The general workflow for cores included (1) splitting; (2) Itrax XRF scanning; (3) subsampling cores ~10 cm spacing; (4) drying and burning samples for percent water, organic, and mineral (Dean, 1974). Combusted samples were gently disaggregated with mortar and pestle and analyzed for grain size on a Coulter Laser Particle Size Analyzer. Basal sediments were identified by low organic content and a contrast in grainsize or sediment texture with overlying pond sediment. Sediment age was constrained by the construction date of the corresponding dam, when that information was available, and by ¹³⁷Cs chronology when absent. The small sediment masses present in most of these dams relative to expected masses based on regional sediment yield is representative of the small aggregate trapping of sediment by legacy mill dams in the Northeast US, highlighted in the manuscript “Watershed sediment supply and potential impacts of dam removals for an estuary,” submitted to Estuaries and Coasts in March, 2020.

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  Hudson River Estuary Tidal Marsh Sediment Data

  Brian Yellen and Jonathan Woodruff

  This repository contains data from sediment cores collected at six tidal wetland complexes that are located within the Hudson River Estuary. The sites include Stockport Marsh, Esopus Delta, Tivoli North Bay, Tivoli South Bay, Vanderburgh Cove, and Iona Island Marsh. A variety of core collection tools and methods were used to collect uncompacted records, including gouge coring, Russian peat coring, and piston push coring, with the method determined by coring environment. The general workflow for cores included (1) splitting; (2) Itrax XRF scanning; (3) subsampling cores ~10 cm spacing; (4) drying and burning samples for percent water, organic, and mineral content. Gamma spectroscopy was used to identify down-core profiles of ¹³⁷Cs and ²¹⁰Pb in at least one representative core from each site. Relative abundance and onset of heavy metals zinc (Zn) and lead (Pb) as recorded in X-ray Flourecense (XRF) data were used as additional supportive age constraint in cores. Collectively, data from these cores provide evidence within the tidal freshwater Hudson River for rapid accretion within anthropogenic tidal freshwater wetlands relative to those that developed prior to the industrial era.

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  Appendix 2. Database of impact assessment summaries for 100 range-shifting invasive plants

  Mei Rockwell-Postel and Bethany A. Bradley

  Summary reports of Environmental Impacts Classification of Alien Taxa (EICAT) assessments of 100 invasive plants projected to shift their ranges into Connecticut, Massachusetts, New York, or Rhode Island by 2050.

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  Appendix 1. Database of impact assessments for 100 range-shifting invasive plants

  Mei Rockwell-Postel and Bethany A. Bradley

  Environmental Impacts Classification of Alien Taxa (EICAT) assessments of 100 invasive plants projected to shift their ranges into Connecticut, Massachusetts, New York, or Rhode Island by 2050.

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  Biotic resistance to invasion is ubiquitous across ecosystems of the United States

  Evelyn M. Beaury, John T. Finn, Jeffrey D. Corbin, Valerie Barr, and Bethany A. Bradley

  The biotic resistance hypothesis predicts that diverse native communities are more resistant to invasion. However, past studies vary in their support for this hypothesis due to an apparent contradiction between experimental studies, which support biotic resistance, and observational studies, which find that native and non-native species richness are positively related at broad scales (small scale studies are more variable). Here, we present a novel analysis of the biotic resistance hypothesis using 24,456 observations of plant richness spanning four community types and seven ecoregions of the United States. Non-native plant occurrence was negatively related to native plant richness across all community types and ecoregions, although the strength of biotic resistance varied across different ecological, anthropogenic, and climatic contexts. Our results strongly support the biotic resistance hypothesis, thus reconciling differences between experimental and observational studies and providing evidence for the shared benefits between invasive species management and native biodiversity conservation.

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  Ionoelastomer Junctions Between Polymer Networks of Fixed Anions and Cations

  Hyeongjun Kim, Baohong Chen, Zhigang Suo, and Ryan C. Hayward

  Readme file included in ZIP file.

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  Source data for "Writing with librarians: Reporting back on turning your poster or presentation into an article."

  Kristin Lee and Thea P. Atwood

  Data set includes a README file.

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  Source data for "Invasive grasses increase fire occurrence and frequency across U.S. ecoregions."

  Emily J. Fusco, John T. Finn, Jennifer K. Balch, R. Chelsea Nagy, and Bethany A. Bradley

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  Source data for "Accounting for aboveground carbon storage in shrubland and woodland ecosystems in the Great Basin"

  Emily J. Fusco, Benjamin M. Rau, Michael Falkowski, Steven Filippelli, and Bethany A. Bradley

  ESRI File Geodatabase contains 15 raster files for the Great Basin region.

  Compiled using data from years 2011-2014.

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  Designing Sustainable Landscapes: Subsysland

  Kevin McGarigal, Brad Compton, Ethan B. Plunkett, William V. DeLuca, and Joanna Grand

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  Designing Sustainable Landscapes: Representative Species Model: Prairie Warbler (Setophaga discolor)

  William V. DeLuca

  Prairie Warbler was selected as a representative species for the Designing Sustainable Landscapes project of the North Atlantic LCC (https://scholarworks.umass.edu/designing_sustainable_landscapes/). The habitat clusters (ecological systems) and associated wildlife species that it represents generally comprise of xeric early successional forests and shrublands. The Landscape Capability (LC) index integrates habitat capability, prevalence and climate suitability into a single index that reflects the relative capacity of a site to support the species.

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  Designing Sustainable Landscapes: Representative Species Model: Piping Plover (Charadrius melodus)

  William V. DeLuca

  Piping Plover was selected as a representative species for the Designing Sustainable Landscapes project of the North Atlantic LCC (https://scholarworks.umass.edu/designing_sustainable_landscapes/). Piping Plover was selected as an additional species to the originally selected 30 representative species as part of the Coastal Resiliency, Hurricane Sandy Project. The associated wildlife species that it represents are marine and estuarine beaches throughout the NA LCC. The Landscape Capability (LC) index integrates habitat capability and climate suitability into a single index that reflects the relative capacity of a site to support the species.

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  Designing Sustainable Landscapes: Representative Species Model: Ovenbird (Seiurus aurocapilla)

  William V. DeLuca

  Ovenbird was selected as a representative species for the Designing Sustainable Landscapes project of the North Atlantic LCC (https://scholarworks.umass.edu/designing_sustainable_landscapes/). The habitat clusters (ecological systems) and associated wildlife species that it represents generally comprise moist hardwood and mixed forests, including northern hardwood forests (both Laurentian-Acadian and Appalachian), pine-hemlock-hardwood forest, and piedmont mesic forest.. The Landscape Capability (LC) index integrates habitat capability and climate suitability into a single index that reflects the relative capacity of a site to support the species.

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  Designing Sustainable Landscapes: Representative Species Model: Northern Waterthrush (Parkesia noveboracensis)

  William V. DeLuca

  Northern Waterthrush was selected as a representative species for the Designing Sustainable Landscapes project of the North Atlantic LCC (https://scholarworks.umass.edu/designing_sustainable_landscapes/). The habitat clusters (ecological systems) and associated wildlife species that it represents generally comprise of northern forest wetlands. The Landscape Capability (LC) index integrates habitat capability and climate suitability into a single index that reflects the relative capacity of a site to support the species.

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  Designing Sustainable Landscapes: Representative Species Model: Moose (Alces alces)

  William V. DeLuca

  Moose was selected as a representative species for the Designing Sustainable Landscapes project of the North Atlantic LCC (https://scholarworks.umass.edu/designing_sustainable_landscapes/). The habitat clusters (ecological systems) and associated wildlife species that it represents generally consist of early successional forests, coniferous forests and wetlands. The Landscape Capability (LC) index integrates habitat capability, prevalence and climate suitability into a single index that reflects the relative capacity of a site to support the species.

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  Designing Sustainable Landscapes: Representative Species Model: Marsh Wren (Cistothorus palustris)

  William V. DeLuca

  Marsh Wren was selected as a representative species for the Designing Sustainable Landscapes project of the North Atlantic LCC (https://scholarworks.umass.edu/designing_sustainable_landscapes/). The habitat clusters (ecological systems) and associated wildlife species that it represents generally comprise of fresh, brackish and salt emergent marshes. The Landscape Capability (LC) index integrates habitat capability, prevalence and climate suitability into a single index that reflects the relative capacity of a site to support the species.

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  Designing Sustainable Landscapes: Representative Species Model: Louisiana Waterthrush (Parkesia motacilla)

  William V. DeLuca

  Louisiana Waterthrush was selected as a representative species for the Designing Sustainable Landscapes project of the North Atlantic LCC (https://scholarworks.umass.edu/designing_sustainable_landscapes/). The habitat clusters (ecological systems) and associated wildlife species that it represents generally comprise of riparian deciduous forests. The Landscape Capability (LC) index integrates habitat capability and climate suitability into a single index that reflects the relative capacity of a site to support the species.

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  Designing Sustainable Landscapes: Representative Species Model: Eastern Meadowlark (Sturnella magna)

  William V. DeLuca

  Eastern Meadowlark was selected as a representative species for the Designing Sustainable Landscapes project of the North Atlantic LCC (https://scholarworks.umass.edu/designing_sustainable_landscapes/). The habitat clusters (ecological systems) and associated wildlife species that it represents generally comprise of grasslands. The Landscape Capability (LC) index integrates habitat capability and climate suitability into a single index that reflects the relative capacity of a site to support the species.