cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5878/mgez-e819
title: The Regional Western Sweden SOM Cumulative Dataset 1992-2023
title: Den västsvenska SOM-undersökningens kumulativa dataset 1992-2023
title: Super-Väst-SOM

description: The SOM survey in West Sweden has been conducted yearly since 1992. The survey was initially limited to residents of Gothenburg and its surrounding municipalities. In 1998, the survey was extended to include the entire Västra Götaland County plus the municipality of Kungsbacka. The purpose of the regional surveys is to enable SOM researchers to study attitudes and behavior linked to local and regional issues. They emphasise public services and media, although many of the questions are identical with those used in National SOM in order to make the answers comparable both between the regions and with Sweden at large. 

The Super-West SOM contains data from the SOM survey in West Sweden surveys from 1992. The data contains a selection of questions frequently asked over the years, focusing on time series.

The purpose of the regional surveys is to enable researchers to study attitudes and behaviour linked to local and regional issues.

The dataset has changed somewhat in relation to the codebook, in order to reduce the risk of re-identification. The following changes have been made:
Variables removed: ja15a, ja15b, cb15, pinc2011, hinc1990, hinc1993, hinc1999, hinc2008, hinc2011, ankom, komkod2010, kommun, yearofbirthreg, lkf, sdn
description: SOM-institutet vid Göteborgs universitet genomför varje höst sedan 1992 en regional frågeundersökning bland boende i Västra Götalands län samt Kungsbacka - Väst-SOM - i syfte att kartlägga de boende i regionens vanor och attityder på temat samhälle, politik och medier (SOM står för Samhälle Opinion Medier). Sedan 2012 samlas data in via en kombination av postala enkäter och webbenkäter, och varje undersökning genomförs under så identiska förutsättningar som möjligt för att resultaten från de olika åren ska vara jämförbara.

Super-Väst-SOM är en sammanslagen superdatamängd bestående av data från de västsvenska SOM-undersökningarna. Detta stora dataset innehåller merparten av frågorna för samtliga år som de ställts sedan undersökningens början 1992. De frågor som inkluderas i superfilen är ett urval av de som ställts varje år i Väst-SOM, med fokus på tidsserier (i regel med fler än fyra mätpunkter).

Syftet är att studera och kartlägga vanor och attityder bland boende i Västra Götalands län samt att följa utvecklingen av dessa över tid.

Datasetet har förändrats något i förhållande till kodboken, för att minska risken för bakvägsidentifiering. Följande förändringar har gjorts: 
Borttagna variabler: ja15a, ja15b, cb15, pinc2011, hinc1990, hinc1993, hinc1999, hinc2008, hinc2011, ankom, komkod2010, kommun, yearofbirthreg, lkf, sdn
DOI: 10.25405/data.ncl.31015318
title: Kynureninase project - functionality of the key kynureninase (KynU), which catalyses kynurenine to anthranilic acid (AA), in oral bacteria

description: The kynurenine (KYN) pathway produces key metabolites for immunoregulation and neuromodulation in humans, but its presence and activity in the oral microbiome are unclear. This study investigates the functionality of the key kynureninase (KynU), which catalyses kynurenine to anthranilic acid (AA), in oral bacteria.The brief methods included bioinformatic analysis to identify putative <i>kynU</i> genes in oral bacterial genomes, and structural similarity of the predicted proteins was evaluated using Template Modeling (TM)-score and Root Mean Square Deviation (RMSD) analyses. Selected <i>kynU</i> sequences were cloned into the pBAD-His A expression vector. Enzymatic activity was accessed by quantifying AA concentrations using liquid chromatography-mass spectrometry (LC-MS).
DOI: 10.25405/data.ncl.31015318.v1
title: Kynureninase project - functionality of the key kynureninase (KynU), which catalyses kynurenine to anthranilic acid (AA), in oral bacteria

description: The kynurenine (KYN) pathway produces key metabolites for immunoregulation and neuromodulation in humans, but its presence and activity in the oral microbiome are unclear. This study investigates the functionality of the key kynureninase (KynU), which catalyses kynurenine to anthranilic acid (AA), in oral bacteria.The brief methods included bioinformatic analysis to identify putative <i>kynU</i> genes in oral bacterial genomes, and structural similarity of the predicted proteins was evaluated using Template Modeling (TM)-score and Root Mean Square Deviation (RMSD) analyses. Selected <i>kynU</i> sequences were cloned into the pBAD-His A expression vector. Enzymatic activity was accessed by quantifying AA concentrations using liquid chromatography-mass spectrometry (LC-MS).
DOI: 10.5061/dryad.xpnvx0kj2
title: Hybridization and low genetic diversity in the endangered Alabama Red-Bellied Turtle (Pseudemys alabamensis)

description: Pseudemys alabamensis is one of the most endangered freshwater turtle
 species in the United States due to its restricted geographic distribution
 in coastal Alabama and Mississippi. Populations of P. alabamensis are
 geographically isolated from one another by land and salt water, which
 could act as barriers to gene flow. It is currently unknown how
 differentiated these isolated populations are from one another and whether
 they have experienced reductions in population size. Previous work found
 morphological differences between Alabama and Mississippi populations,
 suggesting that they may be evolutionarily distinct. Other Pseudemys
 turtles such as P. concinna and P. floridana occur naturally within the
 same geographic area as P. alabamensis and are known to hybridize with
 each other. These more abundant species could threaten the unique genetic
 identity of P. alabamensis through introgression. In order to evaluate the
 endangered status of P. alabamensis and the level of hybridization with
 other species, we used mitochondrial and nuclear microsatellite markers to
 assess genetic variation within and among populations of P. alabamensis
 throughout its range and estimate admixture with co-occurring Pseudemys
 species. In P. alabamensis, we found no variation in mitochondrial DNA and
 observed an excess of homozygosity in the microsatellite data. Our results
 indicate evidence of genetic differentiation between Alabama and
 Mississippi populations of P. alabamensis, and low estimated breeding
 sizes and inbreeding for two populations (Fowl River, Alabama and Biloxi,
 Mississippi). Our results also support admixture of P. alabamensis with P.
 concinna/P. floridana. Based on our results, P. alabamensis is highly
 endangered throughout its range and threatened by both low population
 sizes and hybridization. In order to improve the species’ chances of
 survival, focus should be placed on habitat preservation, maintenance of
 genetic diversity within both Mississippi and Alabama populations, and
 regular population monitoring activities such as nest surveillance and
 estimates of recruitment. 
description: We collected mitochondrial DNA (d-loop) and microsatellite data
 to obtain estimates of genetic diversity within and among species and
 inference of hybridization among species.
description: Supplementary Data 1: Microsatellite genotyping for each individual and
 each locus. “-9” refers to missing data.
 Supplementary Data 2: <em>Q</em> assignment values for each individual with respect
 to each different species and <em>P. alabamensis</em> clusters
 (Alabama vs. Mississippi). Each tab indicates the Q values for specific
 comparisons (e.g., <em>P. alabamensis</em> vs. <em>P.
 concinna</em>)
DOI: 10.5061/dryad.83bk3j9tx
title: Radiometric dating of sediment cores from three alpine lakes in Utah, United States, with stable isotope data

description: We collected sediment cores from three alpine lakes in Utah, United
 States, to isolate dormant Daphnia eggs for a
 resurrection ecology experiment. Our question was whether radioactive
 fallout from above-ground nuclear weapons testing at the Nevada Test Site
 in the 1950s and 1960s caused increased mutation rates and population
 evolution in Daphnia. That work is ongoing. Here, we publish radioisotope
 dating profiles from our sediment cores.
description: Please see the associated manuscript at bioRxiv for
 details. https://doi.org/10.1101/2023.02.10.524566
description: Please see the associated manuscript at bioRxiv for details as
 well as the README uploaded with the data. Spreadsheet software and R will
 be needed to open the data files.
DOI: 10.5061/dryad.djh9w0w2r
title: Raw data for: Dynamic instability of dendrite tips generates the highly branched morphologies of sensory neurons

description: The highly ramified arbors of neuronal dendrites provide the substrate for
 the high connectivity and computational power of the brain. Altered
 dendritic morphology is associated with neuronal diseases. Many molecules
 have been shown to play crucial roles in shaping and maintaining dendrite
 morphology. Yet, the underlying principles by which molecular interactions
 generate branched morphologies are not understood. To elucidate these
 principles, we visualized the growth of dendrites throughout larval
 development of Drosophila sensory neurons and discovered that the tips of
 dendrites undergo dynamic instability, transitioning rapidly and
 stochastically between growing, shrinking, and paused states. By
 incorporating these measured dynamics into a novel, agent-based
 computational model, we showed that the complex and highly variable
 dendritic morphologies of these cells are a consequence of the stochastic
 dynamics of their dendrite tips. These principles may generalize to
 branching of other neuronal cell types, as well as to branching at the
 subcellular and tissue levels.
description: <strong>Calculation of branch angle:</strong> The
 angle of new branches was measured using the angle tool of ImageJ (zero
 angle defined as in the direction of the mother). The angle distribution
 graph was plotted using Prism.
 <strong>Calculation of branch rate:</strong> To
 determine branching events, time-lapse movies of duration 20-30 minutes
 were analyzed manually using ImageJ. A new protrusion of length
 &gt;0.25 ?m was scored as a new branch. The total branching rate
 (min-1) was calculated by dividing the total number of branching events by
 the total time. The specific branching rate (?m-1min-1) was calculated as
 the total branching rate divided by the total branch length. The spatial
 distribution of all branching events was plotted using MATLAB with the
 soma at the origin (x=0,\ y=0). <strong>Analysis
 of the elongation of internal branches:</strong> To study the
 possible role that the elongation of internal branches in arbor growth, we
 imaged the same dorsal neurons (A3, A4, and A5) every 24 hrs. Larvae were
 mounted and imaged as described but without the use of anesthetics. Their
 movement was minimized by imaging at 4 °C for 2-5 mins. They were then
 returned to the apple-agar plate in the Darwin Chamber. The larvae were
 imaged using 20X and 40X objectives. For image analysis, the same neurons
 at 24 & 48 hr, and 48 & 96hr were segmented and aligned
 using ImageJ to identify conserved non-terminal internal branches in the
 proximal region. The fractional increases in branches and segment lengths
 were defined as" Fractional\ length\
 change=\frac{Final\ length-Initial\ length}{Initial\ length}
DOI: 10.5061/dryad.5qfttdz7z
title: Climate trends and behavior of a model Amazonian terrestrial insectivore, Black-faced Antthrush, indicate adjustment to hot and dry conditions

description: Rainforest loss threatens terrestrial insectivorous birds throughout the
 world’s tropics. Recent evidence suggests these birds are declining in
 undisturbed Amazonian rainforest, possibly due to climate change. Here, we
 first asked whether Amazonian terrestrial insectivorous birds were exposed
 to increasingly extreme ambient conditions using 38 years of climate data.
 We found long-term trends in temperature and precipitation at our study
 site, especially in the dry season, which was ~1.3 °C hotter and 21% drier
 in 2019 than in 1981. Second, to test whether birds actively avoided hot
 and dry conditions, we used field sensors to identify periodic intervals
 of ambient extremes and prospective microclimate refugia within
 undisturbed rainforest from 2017–2019. Simultaneously, we examined how
 tagged Black-faced Antthrushes (Formicarius analis) used this space. We
 collected &gt;1.3 million field measurements quantifying ambient
 conditions in the forest understory, including along elevation gradients.
 For 11 birds, we obtained GPS data to test whether birds adjusted their
 cover usage using variation in GPS fix success (n = 2,724) as a proxy and
 elevation using successful locations (n = 640) across seasonal and daily
 cycles. For four additional birds, we collected &gt;180,000 light and
 temperature readings to assess exposure. Field measurements in the modern
 landscape revealed that temperature was higher in the dry season and
 highest on plateaus. Thus, low-lying areas were relatively buffered,
 providing microclimate refugia during hot afternoons in the dry season. At
 those times, birds apparently entered cover and shifted downslope. Because
 climate change intensifies the hot, dry conditions that antthrushes
 seemingly avoid, our results are consistent with the hypothesis that
 climate change decreases habitat quality for this species. If other
 terrestrial insectivores are similarly sensitive, climate-induced changes
 to otherwise intact rainforest may be related to their recent declines.
description: Please see the associated publication for methods on data
 collection and processing.
DOI: 10.25349/d9rg87
title: Play Sustainaball: An environmental footprint for an MLB team season

description: In recent years, there has been increased attention and focus from the
 public on the environmental impact of professional sports organizations.
 Significant opportunities exist for Major League Baseball (MLB) teams to
 both reduce their own environmental footprint, and that of their fans,
 through sustainability initiatives. Despite stadiums using upwards of ten
 million gallons of water per year and having the same energy needs as a
 small city, no MLB team has completed a public-facing quantification of
 their total environmental footprint. This project calculated the carbon
 footprint and water consumption of the Tampa Bay Rays for the 2019 regular
 season. We analyzed Scope 1, 2, and 3 GHG emissions to identify hotspots
 within the Rays’ operations, supply chains, and transportation. Fan
 transportation was found to be the largest source of GHGs, followed by
 food production for concessions. The cooling tower and restrooms were
 identified as the largest sources of onsite water usage. We created a
 repository of best practices as a resource for stadium managers that
 includes strategies to reduce GHGs and water use coupled with scenario
 analyses estimating potential reductions. The following recommendations
 are highlighted as the largest reduction opportunities: (1) prioritizing
 fan engagement to switch to more sustainable modes of transportation, and
 (2) offering and highlighting more vegetarian options at concessions. To
 further reduce emissions and water usage, MLB teams should prioritize
 sub-metering electricity and water lines and installing more efficient
 equipment.
description: Data was provided by the Tampa Bay Rays and collected at
 Tropicana Field (where the Rays play) by Jordan Davis during the summer of
 2021.
DOI: 10.25405/data.ncl.31015447
title: Biosensor project - functional characterisation of bacterial biosensors used for kynurenine detection

description: The kynurenine (KYN) pathway is the major catabolic pathway for tryptophan in humans, producing several metabolites that influence health. In clinical settings, KYN levels serve as a valuable biomarker for the diagnosis and prognosis of inflammatory and neurological diseases. Nevertheless, KYN detection relies on mass spectrometry analysis, which requires specialized knowledge and expertise with high operational costs. The bacterial biosensor presents as a promising tool for rapid and cost-effective targeted substance detection due to its ease of genetic modification. Therefore, this study aimed to develop an engineered bacterial biosensor by integrating a genetic module in a plasmid designed for KYN detection harboured in an <i>Escherichia coli</i> chassis. The KYN biosensing component in the genetic module encodes a KYN pathway regulator (KynR) from <i>Pseudomonas aeruginosa</i>, driven by the <i>P</i><sub>BAD</sub> arabinose-inducible promoter. Upon expression, KynR would bind to the exogenous KYN and the bacterial responding <i>kyn</i> promoter to express the downstream green fluorescent protein gene to emit a fluorescence signal.
DOI: 10.25405/data.ncl.31015447.v1
title: Biosensor project - functional characterisation of bacterial biosensors used for kynurenine detection

description: The kynurenine (KYN) pathway is the major catabolic pathway for tryptophan in humans, producing several metabolites that influence health. In clinical settings, KYN levels serve as a valuable biomarker for the diagnosis and prognosis of inflammatory and neurological diseases. Nevertheless, KYN detection relies on mass spectrometry analysis, which requires specialized knowledge and expertise with high operational costs. The bacterial biosensor presents as a promising tool for rapid and cost-effective targeted substance detection due to its ease of genetic modification. Therefore, this study aimed to develop an engineered bacterial biosensor by integrating a genetic module in a plasmid designed for KYN detection harboured in an <i>Escherichia coli</i> chassis. The KYN biosensing component in the genetic module encodes a KYN pathway regulator (KynR) from <i>Pseudomonas aeruginosa</i>, driven by the <i>P</i><sub>BAD</sub> arabinose-inducible promoter. Upon expression, KynR would bind to the exogenous KYN and the bacterial responding <i>kyn</i> promoter to express the downstream green fluorescent protein gene to emit a fluorescence signal.
DOI: 10.7272/q6q23xh9
title: Spending and procedural data on voluntary medical male circumcision

description: Introduction: Voluntary male medical circumcision (VMMC) reduces HIV
 acquisition by up to 60%.  Kenya has successfully scaled up VMMC
 to an estimated 91% of eligible men and boys in certain regions. Given
 that funding toward VMMC is expected to decline in the coming years, it is
 important to identify what models of care are most appropriate and
 efficient as new cohorts of men become eligible for VMMC. To this end, we
 compared the costs of facility-based VMMC and one within a rapid results
 initiative (RRI), a public health service scheduled during school holidays
 to perform many procedures over a short period.   Methods: We
 employed activity-based micro-costing to estimate the costs, from the
 implementer perspective, of facility-based VMMC and RRI-based VMMC
 conducted between October 2017 and September 2018 at 41 sites in Kisumu
 County, Kenya supported by the Family AIDS Care & Education
 Services (FACES). We conducted site visits and reviewed financial ledger
 and programmatic data to identify and quantify resources consumed and the
 number of VMMC procedures performed during routine care and RRIs. Ledger
 data were used to estimate fixed costs, recurring costs, and cost per
 circumcision (CPC) in United States dollar (USD). A sensitivity analysis
 was done to estimate CPC where we allocated 6 months of the ledger to
 facility-based and 6 months to RRI.   Results: Overall, FACES
 spent $3,092,891 toward VMMC services and performed 42,139 procedures
 during the funding year. This included $2,644,910 in stable programmatic
 costs, $139,786  procedure costs, and $308,195 for RRI-specific
 activities. Over the year, 49% (n=20,625) of procedures were performed as
 part of routine care and 51% (n=21,514) were performed during the RRIs.
 Procedures conducted during facility-based cost $99.35 per circumcision,
 those conducted during the RRIs cost $48.51 per circumcision, and
 according to our sensitivity analysis, CPC for facility-based ranges from
 $99.35 to $287.24 and for RRI costs ranged from $29.81 to $48.51.
   Conclusion: The cost of VMMC during the RRI was substantially
 lower than unit costs reported in previous costing studies. We conclude
 that circumcision campaigns, such as the RRI, offer an efficient and
 sustainable approach to VMMC.
DOI: 10.25349/d9mp5x
title: Optimal Green Infrastructure: Reducing Stormwater Pollution in Maunalua Bay, O'ahu, Hawai'i

description: High runoff from urban areas has negative impacts on receiving water
 bodies. In Hawai'i, this problem is exacerbated by the natural
 landscape, which rapidly changes from steep ridges to low-lying valleys
 nearshore. Maunalua Bay, a region located on the southeastern coast of
 O‘ahu, has been declared an impaired water body by the Hawai‘i Department
 of Health due to high levels of nutrients and pollutants. Nine highly
 urbanized watersheds feed into Maunalua Bay, and runoff during storms
 deposits harmful sediment and pollutants into the Bay. To improve the
 health of Maunalua Bay, this project utilized hydrologic modeling to
 determine the runoff-reduction potential of green infrastructure under
 climate change projections. We created hydrologic models to determine
 areas of high runoff to guide where to prioritize green infrastructure
 placement within the urbanized environment. Green infrastructure is a
 useful means to capture runoff before it enters a waterbody. Targeting
 strategic locations for runoff reduction practices, such as green
 infrastructure, can reduce the quantity of runoff that feeds into Maunalua
 Bay, improving water quality. We also conducted a climate change analysis
 by modeling how future precipitation projections might influence regional
 runoff patterns. Our results can serve to inform stormwater management
 practices that prioritize green infrastructure placement in high runoff
 locations modeled under current and future climate scenarios.
description: This data was
 collected from Hawaiian institutions and climate change models. The data
 was processed using ESRI ArcGIS, R, Python, and the Environmental
 Protection Agency's Stormwater Management Model (SWMM
 5.1). 
description: Please refer to
 README and metadata files to support interpretation and
 reuse.