cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.7924/r4057m91d
title: Data from: Fishing for food: values and benefits associated with coastal infrastructure

description: While there is substantial literature about the socio-cultural characteristics and values associated with recreational and commercial fisheries in the U.S., studies directed at those who ‘fish for food’ - those who depend on consuming their catch to various degrees - are relatively sparse. We define ‘fishing for food’ to include aspects that go beyond traditional definitions of ‘subsistence’ or ‘recreational fishing’, considering food security and access, as well as the less obvious socio-cultural motivations behind the activity. Using qualitative data collected through 80 semi-structured interviews with fishers in the summer and fall of 2018 in Carteret County, North Carolina, this study aims to better understand the group of recreational fishers who consume their catch by  describing social and cultural dimensions and values associated with fishing for food, examining the role of infrastructure in facilitating access to benefits associated with this activity, and, and considering how knowledge of existing licensing regulations surrounding subsistence license waivers affect this fishing community. Interviews conducted at free public fishing structures in the region revealed that fishers derive a variety of values and benefits from fishing at these sites, including access to recreation, nutrition, a social community, and mental health benefits, which were found to be negatively impacted by Hurricane Florence in September 2018. We also found an informal economy of sharing catch on- and off-site that extends the reach and benefits facilitated by public infrastructure to people beyond those using it directly. This study tracks the provision of a public good that is otherwise unmeasured, and examines how this community of fishers may be overlooked by fisheries management. These findings are a compelling rationalization for the creation and maintenance of formal and informal fishing places locally and, by extension, in  other coastal areas, given the array of benefits provided by access to these types of locations.
DOI: 10.7924/r4cv4kb23
title: Data from: A direct link between active matter and sheared granular systems

description: The similarity in mechanical properties of dense active matter and sheared amorphous solids has been noted in recent years without a rigorous examination of the underlying mechanism. We develop a mean-field model that predicts that their critical behavior--as measured by their avalanche statistics--should be equivalent in infinite dimensions up to a rescaling factor that depends on the correlation length of the applied field. We test these predictions in two dimensions (2D) using a numerical protocol, termed 'athermal quasistatic random displacement,' and find that these mean-field predictions are surprisingly accurate in low dimensions. We identify a general class of perturbations that smoothly interpolates between the uncorrelated localized forces that occur in the high-persistence limit of dense active matter and system-spanning correlated displacements that occur under applied shear. These results suggest a universal framework for predicting flow, deformation, and failure in active and sheared disordered materials.
DOI: 10.7924/r4dz09m64
title: Research Vessel Eastward science logs, 1971 and 1975-1981

description: Dataset contains the station log records from the cruises in 1971 and 1975-1984 of the Research Vessel Eastward, which was operated out of the Duke University Marine Lab. Logs record station coordinates and/or loran measurements; start/finish times; depths; and gear used. During this time, the vessel spent a total of 3,745 days at sea.
DOI: 10.7924/r40k2dx36
title: RTOGov: Regional Transmission Organization Member Voting Data

description: Description: Regional Transmission Organization Governance (RTOGov) is a research initiative to evaluate how decisions are made in U.S. electricity markets and whether these governance processes impact real-world outcomes such as price, customer choice, air quality, and innovation. Each of the Northeastern RTO’s feature senior standing committees involved in the governance process. ISO New England, New York ISO, and the PJM Interconnection comprise the Management Committee, NEPOOL Participants Committee, and the Members Committee, respectively. For each RTO, amendments to their respective operating and market agreements often require approval by these committees in order to be filed to the Federal Energy Regulatory Commission as outlined in the Federal Power Act Section 205.
DOI: 10.7924/r4r78d86s
title: Data from: The cortical evoked potential as a biomarker for deep brain stimulation efficacy

description: Objective. Deep brain stimulation (DBS) of the subthalamic nucleus (STN) is an effective treatment for the motor symptoms of Parkinson's disease, although its mechanism of action is uncertain. Previous work has demonstrated that a critical component to its mechanism may be the activation of the primary motor cortex (M1) via the antidromic firing of neurons within the hyperdirect pathway from STN to M1. This antidromic firing exhibits high rates of spike failure when stimulated at high frequencies, and the spike failure rate appears to correlate with DBS efficacy. This synchronous antidromic spiking takes the form of a short-latency evoked potential in electrocorticography (ECoG) recordings of M1, with the magnitude of the cortical evoked potential (cEP) similarly declining at high stimulation frequencies. In this study, we aimed to characterize the cEP in response to various stimulation conditions and to determine whether changes in the cEP correlate with symptom reduction from DBS. Approach. We used the unilateral 6-hydroxydopamine lesioned rat model in female, Sprague Dawley rats, with stimulating electrodes implanted in the STN and the ECoG recorded above M1. We then recorded the cEP during various stimulation conditions and while performing behavioral assessments of hypokinetic symptoms. Main results. We found that the cEP is strongly affected by stimulation conditions, with the cEP magnitude declining and cEP latency increasing with higher stimulation frequencies. These effects occur over multiple minutes, and likely with multiple time-scales. Additionally, the cEP magnitude and latency each correlate strongly with symptom reduction from DBS, with superior correlations to conventional spectral-based biomarkers from ECoG. Significance. This study demonstrates the potential clinical utility of the cEP as a biomarker for symptom reduction from DBS, which may be used in determining proper lead location, stimulation parameter selection, or closed-loop control. Additionally, it provides further insight into the cortical mechanism by which DBS relieves symptoms, suggesting that it may be related to a potential desynchronizing effect caused by high rates of sporadic antidromic spike failure during high frequency DBS.
DOI: 10.7924/r4gq6zn8w
title: Data from: Low-dimensional learned feature spaces quantify individual and group differences in vocal repertoires

description: Increases in the scale and complexity of behavioral data pose an increasing challenge for data analysis. A common strategy involves replacing entire behaviors with small numbers of handpicked, domain-specific features, but this approach suffers from several crucial limitations. For example, handpicked features may miss important dimensions of variability, and correlations among them complicate statistical testing. Here, by contrast, we apply the variational autoencoder (VAE), an unsupervised learning method, to learn features directly from data and quantify the vocal behavior of two model species: the laboratory mouse and the zebra finch. The VAE converges on a parsimonious representation that outperforms handpicked features on a variety of common analysis tasks, enables the measurement of moment-by-moment vocal variability on the timescale of tens of milliseconds in the zebra finch, provides strong evidence that mouse ultrasonic vocalizations do not cluster as is commonly believed, and captures the similarity of tutor and pupil birdsong with qualitatively higher fidelity than previous approaches. In all, we demonstrate the utility of modern unsupervised learning approaches to the quantification of complex and high-dimensional vocal behavior.
DOI: 10.7924/r41n85692
title: Data from: Therapeutic frequency profile of subthalamic nucleus deep brain stimulation is shaped by antidromic spike failure

description: The therapeutic mechanisms of subthalamic nucleus (STN) deep brain stimulation (DBS) appear to depend on antidromic activation of cortex via the hyperdirect pathway. However, hyperdirect pathway neurons are unable to follow high stimulation frequencies reliably, and the rate of spike failure appears to correlate with symptom relief as a function of stimulation frequency. We conducted in vivo measurements of evoked cortical activity and developed a computational model of cortical activation from STN DBS with stochastic antidromic spike failure to determine how spike failure affects the desynchronization of pathophysiological oscillatory activity in cortex. High frequency STN DBS desynchronized pathological oscillations via the masking of intrinsic spiking, analogous to the informational lesion theory. Antidromic spike failure shaped the parabolic relationship between stimulation frequency and desynchronization, with maximum desynchronization at ~130 Hz. These findings reveal that antidromic spike failure plays a critical role in mediating the dependency of symptom relief on stimulation frequency.
DOI: 10.7924/r4ws8r786
title: Data from: Liver and biliary disease in mice with ulcerative colitis-like colon inflammation

description: Primary sclerosing cholangitis (PSC) is a rare inflammatory disease of the liver and biliary tract occurs in a small subset of in patients inflammatory bowel disease (IBD), particularly those with ulcerative colitis (UC). There are no approved therapies for PSC and this disease often progresses to liver failure. However, development of effective treatments is currently hampered by both the lack of mechanistic understanding of early stages of PSC pathogenesis and by the lack of murine models that closely recapitulate the clinical findings in humans. Triple knockout 'TIA' mice that are deficient in tumor necrosis factor--α  (TNF), interleukin (IL)-10, and activation-induced cytidine deaminase (Aicda) spontaneously develop severe microbiota-dependent UC-like colitis soon after weaning. We report here that these TIA mice also develop inflammation of the liver and biliary tract that is suggestive of autoimmune hepatitis biochemically, with liver and biliary lesions including bile ductular proliferation, interface hepatitis, and inflammatory obliteration or fibrosis of bile ducts. Oral treatment with the novel therapeutic remogliflozin etabonate (Remo) for 7 weeks markedly decreased the development and progression of liver and biliary disease in TIA mice, by decreasing inflammatory cell infiltration, bile ductular proliferation, and interface hepatitis. Given their clinical and histologic similarities, we hypothesize that study of the liver and biliary disease that arises in TIA mice with UC-like colitis may provide insights relevant to early pathogenesis and progression of UC-associated liver diseases in humans.  Further studies will be needed to establish how closely late stage disease in TIA mice models human PSC and to determine the mechanisms responsible for the beneficial therapeutic effects of Remo in this model.
DOI: 10.7924/r4s75fc6q
title: Pocosin wetland status and owner type for North Carolina

description: Pocosins are a unique wetland type in the North Carolina coastal plain that provide valuable wildlife habitat and store large amounts of carbon in their peat soils. Many pocosins in North Carolina have been altered by drainage, land clearing, or plantation forestry. There is increasing interest in pocosin restoration, with some restoration projects on both public and private land already underway. To help identify opportunities for pocosin restoration and as a first step to improving estimates of carbon storage by pocosins, we created updated maps of pocosin status (vegetation and drainage) and owner type, building on the existing wetlands maps developed by the North Carolina Division of Coastal Management in 1999.
DOI: 10.7924/r4sj1jj6s
title: Data and scripts from: A Bayesian approach for predicting photogrammetric uncertainty in morphometric measurements derived from drones

description: Increasingly, drone-based photogrammetry has been used to measure size and body condition changes in marine megafauna. A broad range of platforms, sensors, and altimeters are being applied for these purposes, but there is no unified way to predict photogrammetric uncertainty across this methodological spectrum. As such, it is difficult to make robust comparisons across studies, disrupting collaborations amongst researchers using platforms with varying levels of measurement accuracy. We build off previous studies quantifying uncertainty and use an experimental approach to train a Bayesian statistical model using a known-sized object floating at the water’s surface to quantify how measurement error scales with altitude for several different drones equipped with different cameras, focal length lenses, and altimeters. We then apply the fitted model to predict the length distributions and estimate age class of unknown-sized humpback whales (Megaptera novaeangliae), as well as to predict the population-level morphological relationship between rostrum to blowhole distance and total body length of Antarctic minke whales (Balaenoptera bonaerensis). This statistical framework jointly estimates errors from altitude and length measurements from multiple observations and accounts for altitudes measured with both barometers and laser altimeters while incorporating errors specific to each. This Bayesian model outputs a posterior predictive distribution of measurement uncertainty around length measurements and allows for the construction of highest posterior density (HPD) intervals to define measurement uncertainty, which allows one to make probabilistic statements and stronger inferences pertaining to morphometric features critical for understanding life history patterns and potential impacts from anthropogenically altered habitats.
DOI: 10.7924/r4vx0dx06
title: Scripts from: Nationwide evidence that education disrupts the intergenerational transmission of disadvantage

description: Despite overall improvements in health and living standards in the Western world, health and social disadvantages persist across generations. Using nationwide administrative databases linked for 2.1 million Danish citizens, we leveraged a three-generation approach to test whether multiple different health and social disadvantages – poor physical health, poor mental health, social-welfare dependency, criminal offending, and Child Protective Services involvement – were transmitted within families, and whether education disrupted these statistical associations. Health and social disadvantages concentrated, aggregated, and accumulated within a small, high-need segment of families: adults who relied disproportionately on multiple different health and social services tended to have parents who relied disproportionately on multiple different health and social services, and tended to have children who evidenced risk for disadvantage at an early age, through appearance in protective-services records. Intra- and intergenerational comparisons were consistent with the possibility that education disrupted this transmission. Within families, siblings who obtained more education were at reduced risk for later-life disadvantage compared with their co-siblings who obtained less education, despite shared family background. Supporting the education potential of the most vulnerable citizens might mitigate the multigenerational transmission of multiple disadvantages and reduce health and social disparities.
DOI: 10.7924/r4862k514
title: Data and scripts from: Exploring the affordability of water services within and across utilities

description: The cost of providing safe, reliable water services in the United States is increasing for utilities and their customers, raising questions about the scale and scope of water affordability challenges. How we measure and understand water affordability is debated. Here, we developed an open and repeatable approach that calculates five affordability metrics, including a new metric that combines affordability prevalence and burden along a continuum. We calculated these metrics for multiple volumes of water usage (from 0 to 16,000 gallons per month) using rate data available in 2020 at the scale of census block groups and service areas. We applied this approach to 1,791 utilities in four states (California, Pennsylvania, North Carolina, and Texas), which cumulatively serve 72 million persons. We found 77% of utilities had more than 20% of their population below 200% of the federal poverty level, suggesting widespread poverty contributes to affordability challenges for many utilities. Minimum wage earners spend more than a day of labor per month to pay water bills for relatively low usage (4,000 gallons per month) in 67% of utilities, but upwards of 3 days of labor at higher volumes (12,000 gallons per month) in 29% of utilities. Depending on how much water a household uses, our results suggest a tenth to a third of households are working more than a day each month to afford their water bills. We developed an interactive data visualization tool to bring greater transparency to water affordability by allowing users to explore affordability at the block group and utility scale at different volumes of usage. The underlying data in the visualization tool can be expanded and updated over time, further increasing the transparency and understanding of water affordability in the U.S.
DOI: 10.7924/r43f4tf93
title: Data from: Preliminary evidence on the impact of hearing aid use on falls risk in individuals with self-reported hearing loss

description: Purpose: Falls are considered a significant public health issue, and hearing loss has been shown to be an independent risk factor for falls. The primary objective of this study was to determine if hearing aid use modified (reduced) the association. We hypothesized that routine hearing aid use would reduce the impact of hearing loss on the odds of falling. If hearing aid users have reduced odds of falling, then that would have an important impact on falls prevention health care. 

Method: Data from 8,091 individuals 40 years of age and older who completed National Health and Nutrition Examination Survey (NHANES) cycles 1999-2004 were used. NHANES comprises a series of cross-sectional studies, each of which is representative of the total civilian noninstitutionalized population of children and adults in the United States, enabling unbiased national estimates of health that can be independently reproduced. Self-reported hearing, hearing aid status, falls history, and comorbidities were extracted and analyzed using regression modeling. 
Results: The 8,091 individuals were grouped based on a self-reported history of falls in the last year. Self-reported hearing loss was significantly associated with odds of falling. Categorizing individuals based on routine hearing aid use was included as an interaction term in the fully adjusted models and was not significant, suggesting no difference in falls based on hearing aid status. 

Conclusions: The unique results of the current study show that when examining self-reported hearing in a nationally representative sample, hearing aid use does not appear to mitigate or modify the association between self-reported hearing and falls. Future research designs are highlighted to address limitations identified using NHANES data for this research and focus on the use of experimental designs to further understand the association between hearing loss and falls, including whether hearing loss may be a modifiable risk factor for falls.
DOI: 10.7924/r4zp43t43
title: Data and scripts from: Actin reorganization throughout the cell cycle mediated by motor proteins

description: Cortical actin networks are highly dynamic and play critical roles in shaping the mechanical properties of cells. The actin cytoskeleton undergoes significant reorganization over the course of the cell cycle, when cortical actin transitions between open patched meshworks, homogeneous distributions, and aligned bundles. Several types of myosin motor proteins, characterized by different kinetic parameters, have been involved in this reorganization of actin filaments. Given the limitations in studying the interactions of actin with myosin \textit{in vivo}, we propose stochastic agent-based model simulations and develop a set of data analysis measures to assess how myosin motor proteins mediate various actin organizations. In particular, we identify individual motor parameters, such as motor binding rate and step size, that generate actin networks with different levels of contractility and different patterns of myosin motor localization. In simulations where two motor populations with distinct kinetic parameters interact with the same actin network, we find that motors may act in a complementary way, by tuning the actin network organization, or in an antagonistic way, where one motor emerges as dominant. This modeling and data analysis framework also uncovers parameter regimes where spatial segregation between motor populations is achieved. By allowing for changes in kinetic rates during the actin-myosin dynamic simulations, our work suggests that certain actin-myosin organizations may require additional regulation beyond mediation by motor proteins in order to reconfigure the cytoskeleton network on experimentally-observed timescales.
DOI: 10.7924/r49z9756z
title: Data from: Estimating dredge-induced turbidity using drone imagery

description: While maintenance dredging of port access channels is often required to maintain navigability, it can result in increased turbidity and the creation of sediment plumes. Unoccupied aircraft systems (UAS, or drones) are increasingly applied to study water quality due to their high spatial and temporal resolutions and are a particularly effective monitoring method for specific events in smaller areas. In this study, the use of drone imagery to monitor turbidity in the Morehead City Harbor during maintenance dredging was investigated. Drone flights were conducted concurrently with in-situ sampling during active dredging and post-dredging. Multispectral drone images were radiometrically calibrated, converted to reflectance and then turbidity using two separate pro-cessing methods and a single-band (red; 620nm-700nm) generic turbidity retrieval algorithm, and then compared to in-situ measurements. The first method of using average reflectance to retrieve a single turbidity measurement per drone image produced agreeable results when compared to the in-situ measurements (R2 = 0.84). This method was then used to generate turbidity maps and to extract surface plumes. While this could be considered a limited validation, the results indicate that realistic values can be obtained from drone imagery for low and high turbidity concentrations, making drones are a viable option for monitoring surface turbidity associated with dredging.