Digital Commons Network^™

State Of Alaska Cannabis Testing, State Of Alaska

Alaska

No abstract provided.

State Of Mississippi Cannabis Testing, University Of Mississippi – National Center For Cannabis Research And Education

Mississippi

No abstract provided.

State Of New Jersey Cannabis Testing, University Of Mississippi – National Center For Cannabis Research And Education, Yasha Kahn, Mcr Labs

New Jersey

No abstract provided.

State Of Hawaii Cannabis Testing, University Of Mississippi – National Center For Cannabis Research And Education, Yasha Kahn, Mcr Labs

Hawaii

No abstract provided.

State Of Nevada Cannabis Testing, University Of Mississippi – National Center For Cannabis Research And Education, Yasha Kahn, Mcr Labs

Nevada

No abstract provided.

State Of Delaware Cannabis Testing, University Of Mississippi – National Center For Cannabis Research And Education, Yasha Kahn, Mcr Labs

Delaware

No abstract provided.

State Of Hawaii Cannabis Testing, University Of Mississippi – National Center For Cannabis Research And Education, Yasha Kahn, Mcr Labs

Hawaii

No abstract provided.

State Of Illinois Cannabis Testing, University Of Mississippi – National Center For Cannabis Research And Education, Yasha Kahn, Mcr Labs

Illinois

No abstract provided.

State Of Mississippi Cannabis Testing, University Of Mississippi – National Center For Cannabis Research And Education, Yasha Kahn, Mcr Labs

Mississippi

No abstract provided.

State Of New Jersey Cannabis Testing, University Of Mississippi – National Center For Cannabis Research And Education, Yasha Kahn, Mcr Labs

New Jersey

No abstract provided.

State Of Alaska Cannabis Testing, State Of Alaska

Alaska

No abstract provided.

Anthropology Lab - Archaeology Catalog, Naomi Cleghorn, Sydney Lowenthal, Cameron Ditore, Daniel Bright, Kaylean Salazar, Ellie Hong, Jay Williams, Emily Vento, Nawaf Albalawi, Amber Lewis, Alex Helm, Robert Holman, Gareth Nutt, Jazmine Reyna, Lisa Zealey, Amanda Rios, Nichole Clemmons, Kat Frazee, Xandy Clement, Olivia Franklin, Prabhashi Jayawardhana, Sangho Shin, Anna Gonzalez, Irene Flores, Angele Phillips, Citlali Concha, Mickey Lopez, Bianca Martinez, Tapiwaso Chitaya, Alyssa Tomancik, Cain Camarillo, Juan Gonzalez

Anthropology Laboratory - Archive

The Anthropology Laboratory of the Department of Sociology and Anthropology at UTA houses the archaeological collections of many sites from Texas and around the world. These objects reflect the technology, culture, and values of past people. Studying them can tell us about the decisions those people made and reminds us of the breadth of human achievements.

In 2024, Anthropology students at UTA developed a database for these objects and began recording basic attributes of the collections to make them more accessible to the public. Many volunteers contributed to this database (and are listed as authors here). Data are provided here …

Graduate List - August 2025, University Of Nebraska At Omaha

Commencement Lists

No abstract provided.

Weightbearing Symmetries In Infant Crawling, Mark Daniel Geil

Datasets

Dimensionless Integrated pressure ratios for left vs. right and arms vs. legs during crawling for typically developing infants and children with limb loss or limb difference.

Agent-Based Model Outputs Regarding Error Associated With Drone-Based Animal Surveys, Emma Schultz, Natasha Ellison-Neary, Landon R. Jones, Kristine O. Evans, Raymond B. Iglay

Research Data

Count results from different scenarios of an agent-based model simulating various drone flight patterns across a survey area with differing animal distributions (clumped, random, uniform). Each Excel worksheet contains count results from surveys with specific numbers of animals (n = 4, 9, 25, 49, 100) programmed within the agent-based model survey area.

The Kentucky Microbiome Dataset, Rachel L. Washburn, Douglas C. Curl

Research Data--KGS

The Kentucky Microbiome Dataset is a continuously updated geolocated dataset which describes the distribution and diversity of microorganisms across the Commonwealth of Kentucky. Each geolocated point represents a location reported in the peer-reviewed literature where microorganisms were sampled from soil, water, geologic substrates, or clinical settings. Environmental studies include only non-host-associated, non-clinical microorganisms sampled from natural environments. Clinical studies are mapped separately to highlight locations where investigations into host-associated or human health-related microbes have occurred.

For each location, associated metadata include study information, taxonomic classifications, sample type, sampling method, latitude and longitude, sampling date, publication reference, and a direct link …

Data Set For Fipronil Insecticide Response Spectrum Model For Juvenile Chinook Salmon, Kara E. Huff Hartz, Katie Knaub, Louise Cominassi, Giovanni Molinari, Shane Power, Mia Arkles, S.D.M. Chinthaka, Andrea Chandler, Md. Haibullah-Al-Mamun, Gregory Whitledge, Amelie Segarra, Richard E. Connon, Shawn Acuna, Michael J. Lydy

Data Sets

This spreadsheet is a compilation of the data sets corresponding to the following manuscript:

Development of a Fipronil Insecticide Response Spectrum Model for Juvenile Chinook Salmon (Oncorhynchus tshawytscha)

Kara E. Huff Hartz, Katie J. Knaub, Louise Cominassi, Giovanni S. Molinari, Shane Power, Mia Arkles, S. D. M. Chinthaka, Andrea Chandler, Md. Habibullah-Al-Mamun, Gregory Whitledge, Amelie Segarra, Richard E. Connon, Shawn Acuña, Michael J. Lydy

Environmental Pollution, Volume 385, November 2025, 127122.

State Policy & Politics Database (Sppd), Jennifer Karas Montez

Center For Aging and Policy Studies

The State Policy & Politics Database (SPPD) is a compilation of annual data on state policies and politics that are particularly relevant for population health. The SPPD includes several categories of policies, including labor and economic policies (e.g., minimum wage levels, right to work laws), social safety net policies (e.g., earned income tax credits, SNAP), behavior-related policies (e.g., tobacco taxes, opioid prescribing), as well as the political ideology of the states’ government and citizens. Most measures are available annually from 1980 to 2023 or 2024.

The Burden And Correlates Of Undernutrition Among Children Aged 6–59 Months In Busoga Sub-Region, Uganda: A Community-Based Cross-Sectional Study Data, Joel Komakech, Edirisa Nsubuga, Flavia Nansubuga, Hailu H. Reda, Abdullahi Aborade

Department of Family and Consumer Sciences

This study examined the burden and correlates of undernutrition among children aged 6-59 months in the Busoga Sub-Region of Eastern Uganda. This community-based cross-sectional study utilized quantitative data collection methods comprising 439 caregiver-child dyads with children aged 6-59 months. Probability proportionate to size randomized sampling determined eligible households per village. World Health Organization (WHO) growth standards defined child stunting, underweight, and wasting. Logistic regression analyses generated crude and adjusted odds ratios (AORs) for child wasting and underweight correlates. Modified Poisson regression analyses generated unadjusted and adjusted prevalence ratios (APRs) of child stunting correlates. Significance was set at p< 0.05. The mean child age was 27(SD±14) months, with 230 (52.4%) males. Among children, 29.6% were stunted, 8.8% were underweight, and 8.2% were wasted. Children with wasting had a higher likelihood of having experienced diarrhea (AOR=2.8[1.3-5.9], p=0.007), measles (AOR=2.2[1.1-4.6], p=0.045), and no breastfeeding history (AOR=5.7[1.3-26], p=0.024). caregivers aged 26-44 (AOR=0.3[0.1-0.8], p=0.023) were less likely to have underweight children. In contrast, child underweight was significantly associated with maternal parity (AOR=5.2[1.3-21], p=0.020), no breastfeeding history (AOR=9.0[1.7-48], p=0.01), child not fully vaccinated (AOR=7.0[2.2-22], p=0.001), and recent diarrhea experience (AOR=2.4[1.2-5.4], p=0.042). Children were more likely to experience stunting if they were not fully vaccinated (APR=1.9 [1.2-3.0], p=0.009), and resided in households with 4-5 people (APR=1.8[1.1-3.2], p=0.029) or more than six household members (APR=2.0[1.2-3.6], p=0.014). Integrated nutrition-sensitive interventions, including the promotion of increased vaccination coverage, family planning, and optimal infant and young child feeding practices, could improve child growth in the region and similar locales.

Open Textbook Pilot Program Budget Template, Sammi Williams

Grant Proposal Documents

This Excel spreadsheet serves as a budget template for applicants of the Open Textbook Pilot Program, a grant initiative designed to support the development and adoption of open educational resources (OER). The template is structured to help institutions and project teams itemize and justify expenses related to the creation, adaptation, and dissemination of open textbooks. It includes categorized sections for personnel, fringe benefits, travel, equipment, materials, contractual services, and other costs, ensuring compliance with federal grant budget requirements.

Sed Waiver Seclusion And Restraint Data, Genevieve Graaf, Alex Fejer, Monica Canizares

Social Work Datasets-Archive

This dataset includes a set of policy indicators about what states do and do not allow, and what types of oversight and safeguards they provide, around the use of seclusion, restraint and other restrictive interventions in 1915(c) Medicaid home and community based services waiver programs for children with significant mental health needs. Includes data for all states operating these programs from 2008 to 2024.

The Power Of Preference: How Assignment Choice Shapes Learning In Statistics, Joshua Guillemette, Charlotte A. Jones-Roberts

Research Data and Datasets

Assignment choice is an increasingly explored instructional strategy in undergraduate education, particularly in courses where students often struggle to find personal relevance or maintain motivation. In statistics education, where conceptual abstraction and perceived difficulty are common barriers, offering structured choices in group formation and dataset selection may enhance engagement and learning outcomes. This study investigates the effects of assignment choice on student self-efficacy, performance, and group behavior within a large introductory statistics course. Using a one-way ANOVA design, the study compared academic outcomes across three conditions: randomly assigned groups, self-selected groups, and independent work. Students completed six scaffolded projects over …

Ampleography Data For Marquette Grafted On An Interspecific Rootstock Population., Prakriti Sharma, Anne Fennell

Agronomy, Horticulture and Plant Science Dataset Collection

This dataset is in support of the submitted manuscript : Genetic Regulation of Leaf Morphology in Own-rooted and Grafted Vines of an F1 Rootstock Population.

File type: xls
File size: 248 KB

Ampleography Data For An F1 Interspecific (V. Rupestris X V. Riparia) Rootstock Population, Prakriti Sharma, Anne Fennell

Agronomy, Horticulture and Plant Science Dataset Collection

This dataset is in support of the submitted manuscript : Genetic Regulation of Leaf Morphology in Own-rooted and Grafted Vines of an F1 Rootstock Population.

File type: xls
File size: 313 KB

Hypercoagulable And Autoimmune Factors In Patients With Moyamoya Syndrome, Justin F. Fraser, Min Jian Hou Ma, Christopher Mclouth, Laura Whitnel, Jessica Lasslo, David Dornbos Iii, Jill Roberts

Neuroscience Research Data

Moyamoya is a progressive cerebrovascular condition leading to stenosis of the internal carotid arteries (ICA) and formation of abnormal vasculature at the base of the brain. Patients ultimately suffer from ischemic and/or hemorrhagic stroke. In Kentucky, patients often present with comorbidities, which classifies them as having moyamoya syndrome (MMS). In this prospective observational study, we measured coagulable- and autoimmune-related factors in MMS subjects to identify possible therapeutic targets and help inform clinical care. Venous blood samples were collected from adult subjects diagnosed with MMS and analyzed by the UK Healthcare Clinical Laboratory. Blood samples, demographics, and medical records were obtained …

Graduate List - May 2025, University Of Nebraska At Omaha

Commencement Lists

No abstract provided.

Database Of Women’S Hunting, Fishing, And Outdoor Recreation Organizations In The Mountain-Prairie Region, Jennifer Zavaleta Cheek, Shelby Isensee, Lauren Redmore

NRM Departmental Data Sets

Description: This dataset contains information on women-focused organizations and programs offering hunting, fishing, survival, and other outdoor recreation opportunities across the Mountain-Prairie Region of the United States (Colorado, Kansas, Montana, Nebraska, North Dakota, South Dakota, Utah, and Wyoming). Groups included in the dataset met at least one of the following criteria: they hosted in-person events, maintained an online presence, or held at least one event in the study area.
/="/">Variables include:

• Organization Name
• Organization Type (e.g., national non-profit, local non-profit, state agency, for-profit)
• Mission/Vision Statement
• Focus of Programming (e.g., hunting, fishing, survival, other outdoor recreation)
• Year Established
• Website
• Social …

Analytical Report Of Texas Instruments, Michael Angeletti

Academic Festival

No abstract provided.

Using Machine Learning, The Cloud, Big Data, Citizen-Science, And 200+ Environmental Predictors Towards Proposing Modern Add-Ons To Improve Conservation Management Plans For Squirrel Species In Alaska And Its Indigenous Lands(Vers2), Moriz Steiner, Falk Huettmann

Faculty

Context. Squirrel species in Alaska generally lack thorough conservation management plans, while all species are actively hunted with no bag limits, closed seasons, or any other restrictions, and the current ‘management’ is based on ambiguous hand-drawn distribution maps. This indicates a laissez-faire approach to Alaskan squirrel conservation management. Aims. Here, we attempt to improve this current situation by assessing the effectiveness of ensemble machine-learning prediction models as proposed add-ons to the traditional components of conservation management plans toward a more state-of-the-art approach to species conservation. Methods. We combined the Machine Learning algorithms TreeNet, CART, Random Forest, and Maxent with over …

The Future Of Citizen Science For Marine Litter Research, Kayleigh Wyles, Matthew Peacock

Faculty of Health Datasets

citizen science professional's perceptions towards citizen approach for marine litter research (n = 56, qualitative data)