cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5063/f1st7mrt
title: Puerto Rico Bicknell's Thrush Surveys, 2014

description: A predictive model of the distribution of wintering habitat for Bicknell’s Thrush (Catharus bicknelli) (McFarland et al. 2013) indicated that a considerable extent of potentially suitable habitat for Bicknell's Thrush exists in the central highlands of Puerto Rico. This region has never been surveyed for the species. To test the predictions of the winter habitat model, and to better clarify the species’ distribution during the winter, we conducted surveys in areas throughout Puerto Rico identified as potentially suitable habitat. We conducted field surveys from January 2015 through March 2015. We visited 44 1-km2 cells that we selected from the winter habitat model using a generalized random tessellation stratified (GRTS) sampling approach. An equal number of cells in each predicted probability of occurence class (low [&lt;25% predicted probability of Bicknell's Thrush occurrence], medium [25%-50% prredicted probability of occurrence], and high [&gt;50% predicted probability of occurrence) were selected for surveys. Within each cell, we surveyed a minimum of 3-5 points that were &gt;250 meters apart. The location of points within each cell was determined systematically based on accessibility - all points were in forest adjacent to roads - and to ensure an even distribution of points across the cell. At each point, a single observer counducted a 10-minute count divided into four 2.5-minute intervals. A 1-minute playback of Bicknell’s Thrush vocalizations was broadcast before the second and fourth periods. Individuals of all species detected in each interval of the count were registered. Each interval was treated as a new count, so the same individual bird could be recorded in each interval of the 10-minute count. References McFarland KP, Rimmer CC, Goetz JE, Aubry Y, Wunderle JM Jr, Sutton A, Townsend JM, Sosa AL, Kirkconnell A. A winter distribution model for Bicknell's Thrush (Catharus bicknelli), a conservation tool for a threatened migratory songbird. PLoS One. 2013;8(1) e53986. doi:10.1371/journal.pone.0053986. PMID: 23326554; PMCID: PMC3541143.
DOI: 10.5063/f1j9649g
title: Mountain Birdwatch 1.0

description: Mountain Birdwatch 1.0 is a long-term monitoring program for songbirds that breed in highelevation forests of the northeastern United States. Initiated in 2000, Mountain Birdwatch has prepared skilled volunteers to conduct annual surveys along 1-km point-count routes located in Massachusetts, New York, Vermont, New Hampshire, and Maine. Primary emphasis was placed on Bicknell’s Thrush, a montane-fir specialist that breeds only in the Northeastern U.S. and adjacent portions of Canada. Other focal species included Blackpoll Warbler, Swainson’s Thrush, White-throated Sparrow, and Winter Wren. The Vermont Center for Ecostudies launched a new, revised monitoring program- Mountain Birdwatch 2.0- in June of 2010.
DOI: 10.5063/f1p26w1t
title: Mountain Birdwatch 1.0

description: Mountain Birdwatch 1.0 is a long-term monitoring program for songbirds that breed in highelevation forests of the northeastern United States. Initiated in 2000, Mountain Birdwatch has prepared skilled volunteers to conduct annual surveys along 1-km point-count routes located in Massachusetts, New York, Vermont, New Hampshire, and Maine. Primary emphasis was placed on Bicknell’s Thrush, a montane-fir specialist that breeds only in the Northeastern U.S. and adjacent portions of Canada. Other focal species included Blackpoll Warbler, Swainson’s Thrush, White-throated Sparrow, and Winter Wren. The Vermont Center for Ecostudies launched a new, revised monitoring program- Mountain Birdwatch 2.0- in June of 2010.
DOI: 10.15139/s3/12125
title: Replication data for: The Transmission of Legal Precedent Among State Supreme Courts in the 21st Century

description: Theories of legislative policy diffusion are well-formed and extensively tested, but schol- ars know far less about the diffusion of legal policy and reasoning. Three decades ago, Caldeira's "The Transmission of Legal Precedent: A Study of State Supreme Courts" examined this topic, but the intervening decades have been marked by considerable changes in both technology and the institutional structure of state supreme courts. We explore the effect of these changes by explaining modern translegal judicial com- munication in the United States. Relying on an original dataset encompassing every citation in every legal decision made by all 52 state supreme courts in 2010, we explore the effect of the proximity of two states and the prestige of the cited court on how frequently state high courts use one another's precedents. We find evidence that both proximity and prestige increase cross-state citations.
DOI: 10.5066/f70k26ms
title: National Assessment of Oil and Gas - Cotton Valley Group and Travis Peak-Hosston Formation Assessment Units, Western Gulf and East Texas Basin and Louisiana-Mississippi Salt Basins Provinces (047, 048 and 049)

description: The Assessment Unit is the fundamental unit used in the National Assessment Project for the assessment of undiscovered oil and gas resources. The Assessment Unit is defined within the context of the higher-level Total Petroleum System. The Assessment Unit is shown herein as a geographic boundary interpreted, defined, and mapped by the geologist responsible for the province and incorporates a set of known or postulated oil and (or) gas accumulations sharing similar geologic, geographic, and temporal properties within the Total Petroleum System, such as source rock, timing, migration pathways, trapping mechanism, and hydrocarbon type. The Assessment Unit boundary is defined geologically as the limits of the geologic elements that define the Assessment Unit, such as limits of reservoir rock, geologic structures, source rock, and seal lithologies. The only exceptions to this are Assessment Units that border the Federal-State water boundary. In these cases, the Federal-State water boundary forms part of the Assessment Unit boundary.
DOI: 10.21227/agdr-y109
title: SUID: Synthetic Underwater Image Dataset

description: We establish a new large-scale benchmark that contains 30 ground-truth images and 900 synthetic underwater images of the same scene, called synthetic underwater image dataset (SUID). Our SUID is constructed on the basis of the underwater image formation model (IFM) and characteristics of underwater optical propagation, possessing solid reliability and feasibility. The proposed SUID creates possibility for a FR evaluation of existing technologies for underwater image enhancement and restoration, which is illustrated by performing extensive experiments and quantitative analysis.
DOI: 10.21227/0zca-7k70
title: SUID: Synthetic Underwater Image Dataset

description: We establish a new large-scale benchmark that contains 30 ground-truth images and 900 synthetic underwater images of the same scene, called synthetic underwater image dataset (SUID). Our SUID is constructed on the basis of the underwater image formation model (IFM) and characteristics of underwater optical propagation, possessing solid reliability and feasibility. The proposed SUID creates possibility for a FR evaluation of existing technologies for underwater image enhancement and restoration, which is illustrated by performing extensive experiments and quantitative analysis.
DOI: 10.5066/f7ws8r9s
title: Application of flood regressions and climate change scenarios to explore estimates of future peak flows

description: A Web-based application, titled ?Application of Flood Regressions and Climate Change Scenarios To Explore Estimates of Future Peak Flows?, has been developed by the U.S. Geological Survey, in cooperation with the New York State Department of Transportation, that allows a user to apply a set of regression equations to estimate the magnitude of future floods for any stream or river in New York State (exclusive of Long Island) and the Lake Champlain Basin in Vermont. The regression equations that are the basis of the current application were developed in previous investigations by the U.S. Geological Survey (USGS) and are described at the USGS StreamStats Web sites for New York and Vermont. These regression equations include several fixed landscape metrics that quantify aspects of watershed geomorphology, basin size, and land cover as well as a climate variable?either annual precipitation or annual runoff. The application uses predictions of future annual precipitation from five climate models and two future greenhouse gas emissions scenarios and provides results that are averaged over three future periods?2025 to 2049, 2050 to 2074, and 2075 to 2099. Results are presented in ensemble form as the mean, median, maximum, and minimum values among the five climate models for each greenhouse gas emissions scenario and period. These predictions of future annual precipitation are substituted into either the precipitation variable or a water balance equation for runoff to calculate potential future peak flows. This application is intended to be used only as an exploratory tool because (1) the regression equations on which the application is based have not been adequately tested outside the range of the current climate and (2) forecasting future precipitation with climate models and downscaling these results to a fine spatial resolution have a high degree of uncertainty. This report includes a discussion of the assumptions, uncertainties, and appropriate use of this exploratory application. For a discussion of the assumptions, uncertainties, and appropriate use of this exploratory application, the reader is encouraged to read the report: Burns, D.A., Smith, M.J., and Freehafer, D.A., 2015, Development of flood regressions and climate change scenarios to explore estimates of future peak flows: U.S. Geological Survey Open-File Report 2015-1235, doi:10.3133/ofr20151235. This Web-application is cited as: Burns, D.A., Smith, M.J., and Freehafer, D.A., 2015, Application of flood regressions and climate change scenarios to explore estimates of future peak flows: U.S. Geological Survey data release, doi:10.5066/F7WS8R9S.
DOI: 10.15139/s3/12127
title: Replication data for: Securing Communities or Profits? The Effect of Federal-Local Partnerships on Immigration Enforcement

description: Leading theories of local responses to immigration claim that ideology drives policy differences. However, these studies focus exclusively on policy adoption, neglecting whether or not ideological preferences also govern the extent to which local actors choose to cooperate with federal immigration initiatives. To account for this shortcoming, I use zero-inflated negative binomial regression to assess county-level deportations resulting from local participation in the Secure Communities program. I find that existing financial and structural resources as well as financial incentives are strong determinants of county deportation levels. Furthermore, there is no evidence to suggest that conservative counties produce more deportations. Instead, the size of a county’s policing budget moderates the relationship between ideological orientations and deportation outcomes. With federal-local policy partnerships on the rise, these findings provide an important foundation for developing a better framework to understand the implications of such partnerships for policy implementation. In short, this paper suggests that while policy adoption may be a politicized process, local compliance with federal initiatives is highly dependent on the resource constraints and incentives of the actors involved.
DOI: 10.4119/unibi/2900103
title: A C++ Implementation of the reversed Attentional Vector Sum (rAVS) model

description: This software implements the reversed Attentional Vector Sum (rAVS) model proposed by Kluth, Burigo, Knoeferle (2016) in C++. It also implements the AVS model by Regier & Carlson (2001). Both are models of spatial language understanding. Furthermore, it provides algorithms to evaluate these models on empirical data. This software depends on Computational Geometry Algorithms Library (CGAL) and the GNU scientific library (gsl). Further information on how to use this software is provided in the documentation.
DOI: 10.5063/f18w3b8r
title: Forest carbon flux data for Berau, Indonesia

description: These data and codes support a method for estimating the relevant historic forest carbon fluxes within the Regency of Berau in eastern Borneo, Indonesia. Our method integrates best available global and local datasets, and includes a comprehensive analysis of uncertainty at the regency scale. There are four associated files: 1) BFCP_MonteCarlo_FINAL_FOR_SUBMISSION.R : R code for calculating rate of historic Land use change emissions in Berau Regency, East Kalimantan, Indonesia. Includes Monte Carlo simulation for propagating uncertainty; 2) ForestStrataMap.rar: Compressed raster file of Forest Strata map used to stratify C-flux calculations. Includes the following attributes in a 30x30 m raster: --Forest Stratum name --Above-ground live biomass (AGLB) carbon stocks (in MG/ha) --standard deviation of mean carbon stocks --the number of GLAS shots used to calculate the means; 3) GLASshots.xlsx: contains the raw values for the GLAS shots used to estimate AGLB values for forest strata, including "model-based" error for each shot (XLSX); 4) GLAS_CalibrationFieldPlots.zip: contains the raw data for the field plots used to calibrate the GLAS biomass values for our study region.
DOI: 10.5066/f71n7z6d
title: Boat ramp locations within the Columbia River Basin with associated recreational use, water quality measurements, and risk assessment data for zebra and quagga mussels

description: Aquatic invasive species are often transported between water bodies on boats or boat trailers, thus they are considered one of the primary vectors for new introductions of invasive species to a water body. This data set contains geographic positioning system locational data for boater access points, use data (i.e. recreational, fishing), water quality measurements (e.g. calcium concentrations, pH), risk assessment data, and other physical attributes (i.e. size, elevation) where available within the Columbia and Snake Rivers and throughout the Columbia River Basin. This work builds on an earlier body of work by Wells et al. 2011, Prioritizing Zebra and Quagga Mussel Monitoring in the Columbia River Basin (PDF link below), which provided much of the initial water quality, use information, and risk assessment data (categorical values for the risk of introduction and the risk of establishment). Updated information has been added by collecting additional data on use of water bodies, as well as combined categorical ranking methodology for identifying water bodies that may be high risk for both introduction and establishment of zebra and quagga mussels. This data is also related to a regional effort to contribute to the coordination of monitoring efforts for early detection of zebra and quagga mussels in the context of risk assessment data (CRBAIS weblink below). Data sets provided here include a service definition file, provided with a few reference layers within the region for viewing and an online map ( http://arcg.is/1LrNmBj) with some query options, a GIS shapefile (Child Item), and a tabular data set (csv file; Child Item). It is recommended that all users of this data thoroughly read the metadata files for data definitions, sources, and data limitations. It is recommended to use the online map link ( http://arcg.is/1LrNmBj) for a quick view of the data set and some basic query options. Once on the ArcGIS online map, to view all the data layers click the show contents of map and click again on the Boat ramps within the Columbia River Basin and click on each of the individual layers for more options.
DOI: 10.5066/f7dn434f
title: Geodatabase for the Blue Ridge Parkway in Virginia

description: The US Geological Survey, in cooperation with the National Park Service, conducted detailed geologic mapping on 35 7.5-minute quadrangles, within a 2-mile-wide+ corridor centered on the Parkway, from BLRI (Blue Ridge Parkway) Mile Post (MP) 0 near Afton, Virginia southward to MP 218 at Cumberland Knob, approximately 1.3 km south of the Virginia - North Carolina State Line. Detailed bedrock geologic mapping for this project was conducted at 1:24,000-scale: Station point geologic data (lithology, structural measurements, mineral resource information, and other important geologic observations) were used to identify major map units, construct contact lines between map units, identify the nature of those contacts, determine contact convention control, trace structural elements across the project area,and determine fault orientation and kinematics. Station point geologic data, contacts and faults from previous work in the BLRI corridor were also evaluated for compilation and synthesis in the BLRI mapping project. The BLRI cuts at an oblique angle nearly the entire width of the Blue Ridge Geologic Province in Virginia. Thus, the geology varies significantly along it's along its 216-mile traverse, from Mesoproterozoic basement and Neoproterozoic to Cambrian rocks in the core and western flank of the Blue Ridge anticlinorium in the northern section of the BLRI corridor, to Neoproterozoic to early Paleozoic metamorphosed sedimentary rocks in imbricated thrust sheets of the eastern Blue Ridge south of Roanoke. At Roanoke, the BLRI traverses a section of the Valley and Ridge geologic province. Within this framework, sixty bedrock map units were defined within the BLRI corridor in Virginia.
DOI: 10.5066/f7vt1q4h
title: USGS National Assessment of Oil and Gas Project - Uteland Butte Assessment Units

description: The Assessment Unit is the fundamental unit used in the National Assessment Project for the assessment of undiscovered oil and gas resources. The Assessment Unit is defined within the context of the higher-level Total Petroleum System. The Assessment Unit is shown herein as a geographic boundary interpreted, defined, and mapped by the geologist responsible for the province and incorporates a set of known or postulated oil and (or) gas accumulations sharing similar geologic, geographic, and temporal properties within the Total Petroleum System, such as source rock, timing, migration pathways, trapping mechanism, and hydrocarbon type. The Assessment Unit boundary is defined geologically as the limits of the geologic elements that define the Assessment Unit, such as limits of reservoir rock, geologic structures, source rock, and seal lithologies. The only exceptions to this are Assessment Units that border the Federal-State water boundary. In these cases, the Federal-State water boundary forms part of the Assessment Unit boundary.
DOI: 10.7910/dvn/k0dza8
title: Ethiopia Baseline Survey

description: This dataset was moved to: https://doi.org/10.34725/DVN/K0DZA8This study contains baseline data that was collected in the Ethiopia site for the Drydev project.
DOI: 10.7910/dvn/cahzhj
title: Mau Forest Village Level Baseline

description: This dataset was moved to: https://doi.org/10.34725/DVN/CAHZHJThis study consists of village level baseline data and other related materials generated as part of the ‘Sentinel Landscapes’ initiative. The village level baseline data was collected using four survey protocols designed by the International Forest Resources and Institutions (IFRI). The data collected is used to understand the relationship between communities, local governance and forests. Four IFRI protocols were used for this purpose: (i) Forest Form (ii) Settlement Form (iii) Association Form and (iv) Product Form. The instruments facilitate the collection of political and institutional data at communal level for those communities that use those forests. A total of 10 villages were surveyed between August and September months of 2015 namely: Kapkeronjo, Kimugul, Nyoigeno North, Kaboisio, Kiptenden, Mongokwo A, Kapcheptuenik, Kapsinendet, Kimuita, Kondamet.
DOI: 10.15139/s3/12160
title: Replication data for: The Determinants of State Legislator Support for Restrictive Voter ID Laws

description: We examine state legislator behavior at the passage stage of voting on restrictive voter identification (ID) bills from 2005 to 2013. Partisan polarization of state lawmakers on voter ID laws is well known but we know very little with respect to other determinants driving this political division. With rare exceptions, a major shortcoming of extant research evaluating the passage of voter ID bills stems from using the state legislature as the unit of analysis. We depart from existing scholarship by using the state legislator as our primary unit of analysis and we cover the entirety of the period when restrictive voter ID laws became a frequent agenda item in state legislatures, from the first passage of a strict photo ID bill in 2005 to the latest measures passed in 2013. Beyond the obviously significant effect of party affiliation, we find that there exists a notable relationship between the racial composition a member’s district, region, and electoral competition, and the likelihood that a state lawmaker supports a voter ID bill. Democratic lawmakers representing substantial black district populations are more opposed to restrictive voter ID laws, whereas Republican legislators with substantial black district populations are more supportive. Controlling for party, we find southern lawmakers (particularly Democrats) to be more opposed to restrictive voter ID legislation. Further, all else equal, we find black legislators in the South to be the least supportive of restrictive voter ID bills, which is likely tied to the historical context associated with state laws restricting electoral participation. Finally, in those state legislatures where electoral competition is not int ense, partisan polarization over voter ID laws is less stark, which likely reflects the expectation that the reform will have little bearing on the outcome of state legislative contests.
DOI: 10.5066/f7zg6qbk
title: Map 05 - ArcGIS layer showing contours of the 75 percentile of May water levels during the 2000-2009 water years (feet)

description: This feature class contains the potentiometric contour lines for the 75th percentile of May water levels for the water years 2000-2009.
DOI: 10.5066/f7wh2n2c
title: Table 5-1 - Statistics of daily water levels recorded during the 1990-2009 water years used to create maps of the water table in Miami-Dade County, Florida.

description: Statistics of daily water levels recorded during the 1990—2009 water years used to create maps of the water table in Miami-Dade County, Florida. [USGS, U.S. Geological Survey; All data adjusted to the North American Vertical Datum of 1988 (NAVD 88). Latitude and longitude are in decimal degrees. See appendix 8 for index map]
DOI: 10.5066/f71834k3
title: Table 4-1 - The maximum, and 80th, 90th, and 96th percentiles of the annual maximums of daily water levels recorded at monitoring sites in and near Miami-Dade County, Florida, during the 1974-2009 water years.

description: The maximum, and 80th, 90th, and 96th percentiles of the annual maximums of daily water levels recorded at monitoring sites in and near Miami-Dade County, Florida, during the 1974-2009 water years. [≥, greater than or equal to; %, percent; GW, groundwater; NPS, National Park Service; SFWMD, South Florida Water Management District; USGS, U.S. Geological Survey. All data adjusted to the North American Vertical Datum of 1988. Latitude and longitude are in decimal degrees]
DOI: 10.5066/f73776sd
title: Map 04 - ArcGIS layer showing contours of the 50 percentile of May water levels during the 2000-2009 water years (feet)

description: This feature class contains the potentiometric contour lines for the 50th percentile of May water levels for the water years 2000-2009.