Digital Commons Network^™

Florida Breeding Bird Atlas Ii Distribution Data, Pivot Tables, Usf Digital Initiatives, Florida Ornithological Society

Breeding Bird Atlas II Supplemental Files and Data

Florida Breeding Bird Atlas II (BBAII) distribution data pivot tables, recording the highest breeding code observed for a species in each topographic quad in which it was recorded. This dataset uses coded values where 1 = Possible, 2 = Probable, and 3 = Confirmed. Data collection for BBA II occurred from 2011 to 2016.

Factors Influencing Non-Perennial Stream Initiation In The Mt. Hood National Forest, Allison Bast

Dissertations and Theses

Historically, non-perennial headwater streams have been overlooked due to their small size and infrequent flow regimes, often leading to them not being recognized as legitimate streams, despite scientific evidence that has shown these streams significantly affect the quality of downstream waters. To combat this issue, environmental managers need to be able to accurately identify and delineate the origins of these streams; however, despite decades of research, an accurate, universal method for predicting how and where these streams commence has yet to be developed. Early studies conducted in steep, humid environments, identified a strong inverse linear relationship between the size of …

Nepal Brick Dust And Silica Exposure 2023-2025 Combined Data, Brinly Openshaw, Willow A. Call, Parker D. Willis, Claire Owens, Gregory L. Snow, Seshananda Sanjel, James D. Lecheminant, Neil E. Peterson, Andrew J. South, Clifton B. Farnsworth, Jayson Gifford, Scott C. Collingwood, James D. Johnston

ScholarsArchive Data

A quantitative, cross-sectional study was conducted over an approximately three-year period with sample collection events occurring March 13-21, 2023, March 17 – 23, 2024, and February 18 – 26, 2025. Samples were taken across 4 brick kilns in Bhaktapur, Nepal, including Kiln 1 in 2023, Kiln 2 in 2024, and Kilns 3 and 4 in 2025. Participants (N = 248) were recruited by convenience sampling from kiln 1 (n = 49), kiln 2 (n = 70), kiln 3 (n = 69), and kiln 4 (n = 60).

Dataset For Meteorological Data From Four Weather Stations In Colorado During The 2025-2026 Winter, Kelly Elder, Banning Starr, Coleman Kane, Jihan Dahanayaka, Hans-Peter Marshall

CryoGARS Snow Data

This dataset contains observations from four Colorado meteorological stations used as part of a US Army Cold Regions Research and Engineering Lab (CRREL) snow strength project.  The purpose of these data is to measure the meteorological variables that impact the trafficability and supportability of a seasonal snowpack and will be used as forcing data to model snow strength across time and space.  Measured data include snow depth, air temperature, relative humidity, wind speed, wind direction, soil temperature, and radiation.

Dataset For Meteorological Data From Two Idaho Weather Stations During The 2025-2026 Winter, Jihan Dahanayaka, Coleman Kane, Thomas Van Der Weide, Hans-Peter Marshall

CryoGARS Snow Data

This dataset contains observations from three Idaho meteorological stations used as part of a US Army Cold Regions Research and Engineering Lab (CRREL) snow strength project.  The purpose of these data is to measure the meteorological variables that impact the trafficability and supportability of a seasonal snowpack and will be used as forcing data to model snow strength across time and space.  Measured data include snow depth, snow water equivalent (SWE), air temperature, relative humidity, wind speed, wind direction, snow temperature, soil temperature, and radiation.

Dataset For Snow Pit And Snow Strength Data From Colorado, Idaho, Alaska, And Wyoming During The 2025–2026 Winter, Coleman Kane, Kelly Elder, Katherine Gura, Stine Pedersen, H.P. Marshall, Jihan Dahanayaka

CryoGARS Snow Data

This dataset contains snowpack and snow strength observations from three study plots in Idaho, five study plots in Colorado,  three study plots in Alaska, and four study plots in Wyoming.  These data were collected in an effort to model the trafficability and supportability of a seasonal snowpack, and will be assimilated in SnowModel to model strength across time and space.  Data collected include stratigraphy, density, permittivity, temperature, specific surface area (SSA), snow depth transects, ram penetrometer profiles, Snow Scope profiles, SnowMicroPen (SMP) profiles.

Dataset For The 100-Mile Zone: Mapping Environmental Protection And Interiorizing Border Enforcement, Carolyn Koehn, Lisa Meierotto

Public Policy and Administration Research Data

U.S. border enforcement has increasingly extended beyond the geopolitical boundary, producing a militarized landscape in which immigration enforcement, national security, and environmental protection intersect. This article examines the environmental implications of the U.S. “100-Mile Zone,” the area extending inward from the nation’s international borders where federal immigration authorities exercise expanded enforcement powers. Situating the analysis within scholarship on militarized landscapes and the “spatial stretching” of borders, the article considers how the expansion of Department of Homeland Security (DHS) authority has transformed both the geography of immigration enforcement and the governance of protected lands. Using original spatial analysis, this study maps …

A Database Of Reliability-Targeted Snow Loads For The United States, Nicholas Brimhall, Cameron Swapp, Brennan Bean

Browse all Datasets

This data release provides the data and code necessary to create a database of 10,625 site-specific Reliability-Targeted Snow Loads (RTSLs) for locations in the Conterminous United States and Alaska. RTSLs are the design snow load requirements necessary to achieve the reliability targets set forth in Chapter 1 of the ASCE 7 Standard, which is the national standard that largely governs hazards-based design in the United States. The data and methods used in this data release are based upon the methods described in Bean et al. (2021), with updated data and refined methodology as applicable.

A Global Database Of Winter Wind Values, Jayden Gardner, Hannah Fluckiger, Nicholas Brimhall, Brennan Bean

Browse all Datasets

This repository contains the data and code necessary to create winter wind (W2) estimates for international locations. It is an extension of the approach outlined in Bean et al. (2025) to include additional data from European locations. Winter wind is defined as the proportion of time that the wind speed exceeds 10 mph during the months of October to April, which is used in snow load design to calculate the potential severity of drifting on a roof.

Base Maps And Other Source Files For: A Global Database Of Reliability-Targeted Snow Loads, Shaveen Britto, Nicholas Brimhall, Cameron Swapp, Brennan Bean, Jayden Gardner, Hannah Fluckiger

Browse all Datasets

The 2022 edition of ASCE 7 introduced reliability-targeted snow loads (RTSLs) for structural design. The development of design snow loads for locations outside the Conterminous United States (OCONUS) requires methods that can provide reliable estimates in regions with varying station density and climatic conditions. This repository contains the data and code used to develop and evaluate a climate-analog approach for estimating RTSLs at international locations. The climate-analog method identifies reference stations with similar climatic and geographic characteristics and uses their estimated RTSLs to predict snow loads at locations where direct observations are limited or unavailable. The methodology relies on station-level …

A Global Database Of Reliability-Targeted Snow Loads, Nicholas Brimhall, Cameron Swapp, Brennan Bean, Shaveen Britto, Jayden Gardner, Hannah Fluckiger

Browse all Datasets

This data release provides the data and code necessary to create a database of 18,809 site-specific Reliability-Targeted Snow Loads (RTSLs) for locations outside of the United States. RTSLs are the design snow load requirements necessary to achieve the reliability targets set forth in Chapter 1 of the ASCE 7 Standard, which is the national standard that largely governs hazards-based design in the United States. The intent of this release is to provide engineers seeking to use US-based design standards in international settings a database of snow load values consistent with the methodologies used to establish ground snow loads in ASCE …

Base Maps And Other Source Files For: A Database Of Reliability-Targeted Snow Loads For The United States, Nicholas Brimhall, Cameron Swapp, Brennan Bean

Browse all Datasets

This data release provides the supporting data and files to create a database of 10,625 site-specific Reliability-Targeted Snow Loads (RTSLs) for locations in the Conterminous United States and Alaska (see Brimhall et al. (2026)). RTSLs are the design snow load requirements necessary to achieve the reliability targets set forth in Chapter 1 of the ASCE 7 Standard, which is the national standard that largely governs hazards-based design in the United States. The data and methods used in this data release are based upon the methods described in Bean et al. (2021), with updated data and refined methodology as applicable.

Inland Bird Banding Association 2025 Board Of Directors Meeting Minutes, The Ibba Board

North American Bird Bander

No abstract provided.

Invitation To 2026 Ibba Annual Meeting: Oklahoma Biological Station, Oklahoma, 13 - 15 Nov 2026, Paula Cimprich

North American Bird Bander

No abstract provided.

Open Call For Banding (Or Birding) Photos To Be Featured In North American Bird Bander, Kellie Hayden

North American Bird Bander

No abstract provided.

Literature Reviews: Summer 2026, Claire Stuyck

North American Bird Bander

No abstract provided.

Species Snapshot: Great-Tailed Grackle (Quiscalus Mexicanus), Steven Gabrey

North American Bird Bander

No abstract provided.

Inland Flyway Review: Fall 2024 Migration Report, Vernon Kleen

North American Bird Bander

No abstract provided.

Two Juvenile Gray Catbirds Undergo Likely Incomplete Molt In New Jersey Meadowlands, Cailin O’Connor, Michael Turso

North American Bird Bander

No abstract provided.

Encounters Of Banded Golden Eagles With Non-Functional Satellite Transmitters, Dale W. Stahlecker, Robert K. Murphy, Kenneth V. Jacobson

North American Bird Bander

No abstract provided.

Do Environmental Factors During Nesting Influence The Band Size Of Hatching Year Birds?, Audrey J. Hicks, Mark H. Conway, Timothy Brush

North American Bird Bander

We analyzed the relationship between the band size given to three species of Hatching Year (HY) birds and the average temperature and total rainfall received between May and July of the year they hatched. We selected 3 species that breed locally and each of which are commonly given different band sizes: Long‑billed Thrashers (Toxostoma longirostre), Green Jays (Cyanocorax yncas), and White‑eyed Vireos (Vireo griseus). Data were collected across 18 locations in the Lower Rio Grande Valley of Texas between 1999 and 2024. There was a significant relationship between weather and band size given to HY Long‑billed Thrashers. The more rainfall …

An Instance Of Supernumerary Rectrices In A Carolina Chickadee In Arkansas, Kevin J. Krajcir, Maureen R. Mcclung

North American Bird Bander

No abstract provided.

Seasonal Common Yellowthroat Populations At Chippewa Run, Leelanau County, Michigan (2011‑2024), Logan B. Clark, William C. Scharf, Alice Van Zoeren

North American Bird Bander

We summarized 13.5 years (2011- 2024) of Common Yellowthroat (Geothlypis trichas) captures: 758 banded and 109 recaptured (14.4%), with spring - fall tick screening from 2011 to 2020 at the Chippewa Run banding station, Empire, Michigan. Age and sex composition was consistent between years, and capture phenology followed a repeatable sequence (After Hatching Year [AHY] males most common in spring, AHY females most common through summer, and Hatching Year [HY] individuals most common in late summer to fall). AHY males were largest, exhibiting bimodal distributions in both mass and wing chord, with fall individuals showing longer wings than those captured …

Front Matter, North American Bird Bander

North American Bird Bander

No abstract provided.

Back Matter, North American Bird Bander

North American Bird Bander

No abstract provided.

Humboldt Wetland Restoration & Mitigation Map And Tables, Sylvia Van Royen

Spatial Data

The Map

This large-format georeferenced PDF map displays the Project Boundaries, Reference Points, and Eelgrass Mitigation Sites layers of the Humboldt Wetland Restoration & Mitigation Geodatabase. This map was designed to show a high level of detail across a large area - the best way to use it is to zoom into an area of interest. Each Project Boundary is labelled with a number, which corresponds to the “ID #” column in the tables.

The Tables

Tables of data from the Restoration Project Boundaries and Restoration Reference Points feature classes in the Humboldt Wetland Restoration & Mitigation Geodatabase. The PDF …

Calibration And Performance Of Germanium High Voltage Detectors For Supercdms Snolab, M. F. Albakry, I. Alkhatib, D. Alonso-González, J. Anczarski, T. Aralis, T. Aramaki, A. Ashtari Esfahani, I. Ataee Langroudy, R. Bhattacharyya, A. J. Biffl, P. L. Brink, M. Buchanan, R. Bunker, B. Cabrera, R. Calkins, R. A. Cameron, P. Camus, C. Cartaro, D. G. Cerdeño, Y. Y. Chang, M. Chaudhuri, J. H. Chen, R. Chen, J. Cooley, J. Corbett, P. Cushman, R. Cyna, S. Das

All Works

As SuperCDMS SNOLAB is getting ready to search for low mass dark matter particles, using cryogenic Ge and Si detectors, a set of six of the new SuperCDMS High Voltage (HV) detectors (four Ge and two Si) were tested in the Cryogenic Underground TEst facility (CUTE) at SNOLAB. This provided the first opportunity to gain experience with this new detector type and assess their performance thoroughly under low background conditions. Here we describe the SuperCDMS HV detector concept and discuss some of the newly developed analysis methods and approaches. Focusing on the Ge detectors, we investigate the detector performance under …

Sla Elastic Resin Curing Test Data, Richard Amesimenu, Johnson Nwogu, Haijun Gong

Datasets

3D printing via stereolithography (SLA) enables high-resolution polymer components, but as-printed parts may exhibit incomplete polymerization and reduced mechanical performance. This study investigates the effects of UV post-curing time on SLA-printed elastic photopolymer resin. Specimens were evaluated using Differential Scanning Calorimetry (DSC), uniaxial tensile testing (ASTM D412 Type C), and Durometer Type M hardness testing. Results show that increased post-curing enhances crosslink density, tensile strength, elastic modulus, and hardness, while extended curing may reduce ductility. An optimal post-curing window balancing stiffness and flexibility was identified. Testing datasets include DSC (dsc/), tensile testing (tensile/), and hardness testing (hardness/) results for uncured …

Ox Creek Nutrients, Geochemistry And Streamflow Raw Data, Md Helal Ahmmed, Tyson L. Jeannotte, Taufique H. Mahmood

Datasets

This dataset contains hydrologic, nutrient, and hydrogeochemical observations collected from the Ox Creek Watershed, a cold-region agricultural watershed in North Dakota, from 2024 to 2026. The dataset includes laboratory-measured nutrient concentrations and major hydrogeochemical constituents from collected water samples and in situ water-level measurements. The observations span contrasting hydrologic conditions, including spring snowmelt and summer rainfall-runoff events. The dataset supports investigation of how changes in runoff regimes, hydrologic pathways, and hydrogeochemical conditions influence nutrient mobilization and transport in cold-region agricultural watersheds.

Exnovation And Digital Open Innovation: A Capability Pathway From Digital Dependency To Digital Sovereignty, Areeba Abid, Balqees Almessabi, Ajmal Waheed, Noor Ul Hadi

All Works

Digital transformation in emerging economies increasingly unfolds under conditions of dependence on externally controlled platforms, infrastructures, standards, and data ecosystems. Although digital sovereignty has become a prominent policy objective, the institutional processes through which public organizations move from digital dependency toward greater governance autonomy remain insufficiently theorized. To address this gap, this study develops a conceptual framework through a concept-driven hermeneutic narrative review to explain how digital open innovation can support the development of digital sovereignty. The framework conceptualizes digital sovereignty as an institutional governance capability that emerges through a sequential process rather than as a static policy objective. Specifically, …