cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.27929436
title: <b>Adherence to Anti-Diabetic Medication and Associated Factors Among Type 2 Diabetic Patients in Selected Private Health Facilities in Kampala, Uganda</b>

description: <b>Abstract</b><b>Background:</b> Over 4.6 % of the Ugandan population aged 20-70 is living with diabetes with majority living in urban areas like Kampala. Type 2 Diabetes (T2D) is associated with complications like heart disease, stroke, kidney problems, and cancers if not managed or treated. Preventing these complications and having better treatment outcomes requires good adherence to treatment. However, there is limited information on adherence to anti-diabetic treatment among patients in private health facilities yet majority of the patients in urban areas access treatment in private facilities. Therefore, this study assessed adherence to anti-diabetic treatment and associated factors among diabetic patients in Mengo, Lubaga and Nsambya hospitals in Kampala, Uganda.<b>Methods:</b><b> </b>The study employed a cross sectional quantitative study design and data was collected among 459 consecutively sampled type 2 diabetic patients receiving care in Mengo, Lubaga and Nsambya hospitals using semi structured questionnaires embedded on the kobo collect app on android phones. The collected data was cleaned in excel 2016, and analyzed in STATA version 15 statistical software. Descriptive analyses were conducted and presented as percentages in tables. Association between the adherence to anti-diabetic medication and independent factors was determined using modified Poisson regression at bivariate and multivariate analysis.<b>Results: </b>About 54.5% (95% CI: 26.7-79.7) of the patients adhered to antidiabetic treatment. Using insulin as type of medication (PR-0.53, 95%CI: 0.45-0.81), being reminded by family to take medicines (PR-0.67, 95%CI: 0.48-0.94), was negatively associated with adherence to anti diabetic medication. Additionally, not experiencing side effects while using anti diabetic medication (PR-1.34, 95%CI: 1.03-2.05), was associated to anti-diabetic medication.<b>Conclusion: </b>The study revealed that adherence to antidiabetic medication was suboptimal in private health facilities in Kampala. This low adherence level is associated to insulin use, experiencing side effects, drug unavailability, having a family member with diabetes and reliance on a family member for reminders. Therefore, strategies such as improved stock taking in health facilities and health education of both patients and caretakers on diabetes should be strengthened at these facilities to improve adherence.<b>Keywords: </b>Adherence, Type 2 Diabetes, Private Health facilities, Medication
DOI: 10.6084/m9.figshare.27929436.v2
title: <b>Adherence to Anti-Diabetic Medication and Associated Factors Among Type 2 Diabetic Patients in Selected Private Health Facilities in Kampala, Uganda</b>

description: <b>Abstract</b><b>Background:</b> Over 4.6 % of the Ugandan population aged 20-70 is living with diabetes with majority living in urban areas like Kampala. Type 2 Diabetes (T2D) is associated with complications like heart disease, stroke, kidney problems, and cancers if not managed or treated. Preventing these complications and having better treatment outcomes requires good adherence to treatment. However, there is limited information on adherence to anti-diabetic treatment among patients in private health facilities yet majority of the patients in urban areas access treatment in private facilities. Therefore, this study assessed adherence to anti-diabetic treatment and associated factors among diabetic patients in Mengo, Lubaga and Nsambya hospitals in Kampala, Uganda.<b>Methods:</b><b> </b>The study employed a cross sectional quantitative study design and data was collected among 459 consecutively sampled type 2 diabetic patients receiving care in Mengo, Lubaga and Nsambya hospitals using semi structured questionnaires embedded on the kobo collect app on android phones. The collected data was cleaned in excel 2016, and analyzed in STATA version 15 statistical software. Descriptive analyses were conducted and presented as percentages in tables. Association between the adherence to anti-diabetic medication and independent factors was determined using modified Poisson regression at bivariate and multivariate analysis.<b>Results: </b>About 54.5% (95% CI: 26.7-79.7) of the patients adhered to antidiabetic treatment. Using insulin as type of medication (PR-0.53, 95%CI: 0.45-0.81), being reminded by family to take medicines (PR-0.67, 95%CI: 0.48-0.94), was negatively associated with adherence to anti diabetic medication. Additionally, not experiencing side effects while using anti diabetic medication (PR-1.34, 95%CI: 1.03-2.05), was associated to anti-diabetic medication.<b>Conclusion: </b>The study revealed that adherence to antidiabetic medication was suboptimal in private health facilities in Kampala. This low adherence level is associated to insulin use, experiencing side effects, drug unavailability, having a family member with diabetes and reliance on a family member for reminders. Therefore, strategies such as improved stock taking in health facilities and health education of both patients and caretakers on diabetes should be strengthened at these facilities to improve adherence.<b>Keywords: </b>Adherence, Type 2 Diabetes, Private Health facilities, Medication
DOI: 10.6084/m9.figshare.27929436.v1
title: Adherence to Diabetic Medication Data

description: <b>Abstract</b><b>Background:</b> Over 4.6 % of the Ugandan population aged 20-70 is living with diabetes with majority living in urban areas like Kampala. Type 2 Diabetes (T2D) is associated with complications like heart disease, stroke, kidney problems, and cancers if not managed or treated. Preventing these complications and having better treatment outcomes requires good adherence to treatment. However, there is limited information on adherence to anti-diabetic treatment among patients in private health facilities yet majority of the patients in urban areas access treatment in private facilities. Therefore, this study assessed adherence to anti-diabetic treatment and associated factors among diabetic patients in Mengo, Lubaga and Nsambya hospitals in Kampala, Uganda.<b>Methods:</b><b> </b>The study employed a cross sectional quantitative study design and data was collected among 459 consecutively sampled type 2 diabetic patients receiving care in Mengo, Lubaga and Nsambya hospitals using semi structured questionnaires embedded on the kobo collect app on android phones. The collected data was cleaned in excel 2016, and analyzed in STATA version 15 statistical software. Descriptive analyses were conducted and presented as percentages in tables. Association between the adherence to anti-diabetic medication and independent factors was determined using modified Poisson regression at bivariate and multivariate analysis.<b>Results: </b>About 54.5% (95% CI: 26.7-79.7) of the patients adhered to antidiabetic treatment. Using insulin as type of medication (PR-0.53, 95%CI: 0.45-0.81), being reminded by family to take medicines (PR-0.67, 95%CI: 0.48-0.94), was negatively associated with adherence to anti diabetic medication. Additionally, not experiencing side effects while using anti diabetic medication (PR-1.34, 95%CI: 1.03-2.05), was associated to anti-diabetic medication.<b>Conclusion: </b>The study revealed that adherence to antidiabetic medication was suboptimal in private health facilities in Kampala. This low adherence level is associated to insulin use, experiencing side effects, drug unavailability, having a family member with diabetes and reliance on a family member for reminders. Therefore, strategies such as improved stock taking in health facilities and health education of both patients and caretakers on diabetes should be strengthened at these facilities to improve adherence.<b>Keywords: </b>Adherence, Type 2 Diabetes, Private Health facilities, Medication
DOI: 10.5061/dryad.j430t
title: Data from: The potential of hyperspectral patterns of winter wheat to detect changes in soil microbial community composition

description: Reliable information on soil status and crop health is crucial for
 detecting and mitigating disasters like pollution or minimizing impact
 from soil-borne diseases. While infestation with an aggressive soil
 pathogen can be detected via reflected light spectra, it is unknown to
 what extent hyperspectral reflectance could be used to detect overall
 changes in soil biodiversity. We tested the hypotheses that spectra can be
 used to 1) separate plants growing with microbial communities from
 different farms; 2) to separate plants growing in different microbial
 communities due to different land use; and 3) separate plants soils
 according to microbial species loss. We measured hyperspectral reflectance
 patterns of winter wheat plants growing in sterilized soils inoculated
 with microbial suspensions under controlled conditions. Microbial
 communities varied due to geographical distance, land use and microbial
 species loss caused by serial dilution. After 3 months of growth in the
 presence of microbes from the two different farms plant hyperspectral
 reflectance patterns differed significantly from each other, while within
 farms the effects of land use via microbes on plant reflectance spectra
 were weak. Species loss via dilution on the other hand affected a number
 of spectral indices for some of the soils. Spectral reflectance can be
 indicative of differences in microbial communities, with the Renormalized
 Difference Vegetation Index the most common responding index. Also, a
 positive correlation was found between the Normalized Difference
 Vegetation Index and the bacterial species richness, which suggests that
 plants perform better with higher microbial diversity. There is
 considerable variation between the soil origins and currently it is not
 possible yet to make sufficient reliable predictions about the soil
 microbial community based on the spectral reflectance. We conclude that
 measuring plant hyperspectral reflectance has potential for detecting
 changes in microbial communities yet due to its sensitivity high
 replication is necessary and a strict sampling design to exclude other
 ‘noise’ factors.
description: Hyperspectral
 reflectance of winterwheat in relation to plant and soil
 characteristicsThis file contains data
 from a greenhouse experiment where winter wheat plants were grown in
 sterilized soil, inoculated with different microbial suspensions. Includes
 hyperspectral reflectance, indices, shoot biomass of winter wheat, C:N
 ratio's of plants, bacterial diversity based on
 sequencingdata_spectra_dryad.xlsx
DOI: 10.5061/dryad.17hr9
title: Data from: Genome-wide differentiation in closely related populations: the roles of selection and geographic isolation

description: Population divergence in geographic isolation is due to a combination of
 factors. Natural and sexual selection may be important in shaping patterns
 of population differentiation, a pattern referred to as ‘isolation by
 adaptation’ (IBA). IBA can be complementary to the well-known pattern of
 ‘isolation by distance’ (IBD), in which the divergence of closely related
 populations (via any evolutionary process) is associated with geographic
 isolation. The barn swallow Hirundo rustica complex comprises six closely
 related subspecies, where divergent sexual selection is associated with
 phenotypic differentiation among allopatric populations. To investigate
 the relative contributions of selection and geographic distance to
 genome-wide differentiation, we compared genotypic and phenotypic
 variation from 350 barn swallows sampled across eight populations (28
 pairwise comparisons) from four different subspecies. We report a draft
 whole-genome sequence for H. rustica, to which we aligned a set of 9493
 single nucleotide polymorphisms (SNPs). Using statistical approaches to
 control for spatial autocorrelation of phenotypic variables and geographic
 distance, we find that divergence in traits related to migratory behaviour
 and sexual signalling, as well as geographic distance, together explain
 over 70% of genome-wide divergence among populations. Controlling for IBD,
 we find 42% of genomewide divergence is attributable to IBA through
 pairwise differences in traits related to migratory behaviour and sexual
 signalling alone. By (i) combining these results with prior studies of how
 selection shapes morphological differentiation and (ii) accounting for
 spatial autocorrelation, we infer that morphological adaptation plays a
 large role in shaping population-level differentiation in this group of
 closely related populations.
description: DDRAD seq
 protocolHere we provide the step
 by step protocol for library prep.rfseq_protocol.pdfparse_barcodes768scripts for parsing barcodespairwise differences - genotype and phenotypeThese are the pairwise differences in genome-wide genomic divergence and phenotype between 8 populations of barn swallows.Hirundo rustica genotype probabilitiesGenotype probabilities associated with the data analyzed in this study.h_rustica_GBS_gprobs.txt
DOI: 10.5061/dryad.506bm
title: Data from: Multi-trait aposematic signal in Batesian mimicry

description: Batesian mimics can parasitize Müllerian mimicry rings mimicking the
 warning color signal. The evolutionary success of Batesian mimics can
 increase adding complexity to the signal by behavioral and locomotor
 mimicry. We investigated three fundamental morphological and locomotor
 traits in a Neotropical mimicry ring based on Ithomiini butterflies and
 parasitized by Polythoridae damselflies: wing color, wing shape, and
 flight style. The study species have wings with a subapical white patch,
 considered the aposematic signal, and a more apical black patch. The main
 predators are VS-birds, visually more sensitive to violet than to
 ultraviolet wavelengths (UVS-birds). The white patches, compared to the
 black patches, were closer in the bird color space, with higher overlap
 for VS-birds than for UVS-birds. Using a discriminability index for bird
 vision, the white patches were more similar between the mimics and the
 model than the black patches. The wing shape of the mimics was closer to
 the model in the morphospace, compared to other outgroup damselflies. The
 wing-beat frequency was similar among mimics and the model, and different
 from another outgroup damselfly. Multitrait aposematic signals involving
 morphology and locomotion may favor the evolution of mimicry rings and the
 success of Batesian mimics by improving signal effectiveness toward
 predators.
description: Wing patches
 reflectance, wing pictures and dataset on flight styleThis file contains: 1)
 individual files on reflectance of the wing patches for the study species
 ("wing patch reflectance"); 2) individual pictures of the wings
 of the study species and the outgroup species ("wing contours");
 and 3) a dataset that includes the extracted flight parameters for each
 study species, as well as environmental temperature and forewing length
 ("flight dataset").Outomuro et
 al_Evolution.rar
DOI: 10.5061/dryad.7qj33
title: Data from: An empirical comparison of models for the phenology of bird migration

description: Bird migration phenology shows strong responses to climate change. Studies
 of trends and patterns in phenology are typically based on annual
 summarizing metrics, such as means and quantiles calculated from raw daily
 count data. However, with irregularly sampled data and large day-to-day
 variation, such metrics can be biased and noisy, and may be analysed using
 phenological functions fitted to the data. Here we use count data of
 migration passage from a Finnish bird observatory to compare different
 models for the phenological distributions of spring migration (27 species)
 and autumn migration (57 species). We assess parsimony and goodness-of-fit
 in a set of models, with phenological functions of different complexity,
 optionally with covariates accounting for day-to-day variability. The
 covariates describe migration intensities of related species or relative
 migration intensities the previous day (autocovariates). We found that
 parametric models are often preferred over the more flexible generalized
 additive models with constrained degrees of freedom. Models corresponding
 to a mixture of two distinct passing populations were frequently preferred
 over simpler ones, but usually no more complex models are needed. Slightly
 more complex models were favoured in spring compared to autumn. Related
 species’ migration activity effectively improves the model by accounting
 for the large day-to-day variation. Autocovariates were usually not that
 relevant, implying that autocorrelation is generally not a major concern
 if phenology is modelled properly. We suggest that parametric models are
 relatively good for studying single-population migration phenology, or a
 mix of two groups with distinct phenologies, especially if daily variation
 in migration intensity can be controlled for. Generalized additive models
 may be useful when the migrating population composition is unknown.
 Despite these guidelines, choosing an appropriate model involves
 case-by-case assessment or the biological relevance and rationale for
 modelling phenology.
description: Bird migration
 numbersThe following variables
 are given in the columns: Species: bird species of concern, 3+3
 abbreviation of scientific name Season: "Spring" or
 "Autumn" Year: year when data has been collected (5 years per
 species-season combination) DOY: day of year (1 to 365) X_sp: covariate
 describing the relative migration intensity of related species (NA =
 missing value) N: number of observed birds at Hanko bird observatory (NA =
 missing value)Linden_etal_JAV-00994_data.csv
DOI: 10.5061/dryad.nt0bd
title: Data from: Adaptation in isolated populations: when does it happen and when can we tell?

description: Isolated populations with novel phenotypes present an exciting opportunity
 to uncover the genetic basis of ecologically significant adaptation, and
 genomic scans have often, but not always, led to candidate genes directly
 related to an adaptive phenotype. However, in many cases these populations
 were established by a severe bottleneck, which can make identifying
 targets of selection problematic. Here, we simulate severe bottlenecks and
 subsequent selection on standing variation, mimicking adaptation after
 establishment of a new small population, such as an island or an
 artificial selection experiment. Using simulations of single loci under
 positive selection and population genetics theory, we examine how
 population size and age of the population isolate affect the ability of
 outlier scans for selection to identify adaptive alleles using both
 single-site measures and haplotype structure. We find and explain an
 optimal combination of selection strength, starting frequency, and age of
 the adaptive allele, which we refer to as a Goldilocks zone, where
 adaptation is likely to occur and yet the adaptive variants are most
 likely to derive from a single ancestor (a ‘hard’ selective sweep); in
 this zone, four commonly used statistics detect selection with high power.
 Real-world examples of both island colonization and experimental evolution
 studies are discussed. Our study provides concrete considerations to be
 made before embarking on whole-genome sequencing of differentiated
 populations.
description: bundle of
 scriptsThese are the scripts,
 including the list of commands run, used in this paper.for-dryad.tar.gz
DOI: 10.17026/ar/ubydzv
title: IVO-P Tuinen van Zandweerd Proefsleuvenonderzoek Tuinen van Zandweerd

description: &lt;p&gt;Tussen 6 en 10 juli 2020 is door Archeologie Deventer een inventariserend veldonderzoek door middel van proefsleuven uitgevoerd in het kader van de ontwikkeling van het plan Tuinen van Zandweerd. Het onderzoeksgebied is gelegen in de uiterste zuidoosthoek van dit plangebied. Voorafgaand aan het onderzoek werd rekening gehouden met de aanwezigheid van sporen van een mogelijke artillerieschans uit te Tachtigjarige oorlog, sporen van verkaveling uit de late middeleeuwen en nieuwe tijd en een loopgraaf uit de Tweede Wereldoorlog. Sporen van de artillerieschans zijn niet aangetroffen, deze moeten waarschijnlijk buiten het plangebied worden gezocht. Ook de loopgraaf is niet met zekerheid aangetroffen, mogelijk is deze net in een uiteinde van een van de proefsleuven aangesneden. Ook deze ligt waarschijnlijk net buiten het onderzoeksgebied.De sporen die wel zijn aangetroffen (greppels en enkele karrensporen) zijn toe te schrijven aan een pad dat in ieder geval vanaf de late 18de eeuw door het onderzoeksgebied heeft gelopen. Op basis van het vondstmateriaal uit deze sporen en de afdekkende lagen kunnen de sporen in de periode 1700 tot 1900 worden gedateerd. Oudere sporen zijn niet aangetroffen, het oudste vondstmateriaal uit het onderzoek dateert uit de late 16de of vroege 17de eeuw. De vindplaats scoort relatief laag op het aspect inhoudelijke kwaliteit en wordt derhalve als niet behoudenswaardig aangemerkt. Het selectieadvies op basis van het onderzoek luidt dan ook om geen archeologische voorwaarden aan de omgevingsvergunning te verbinden.&lt;/p&gt;
DOI: 10.5061/dryad.5p65q
title: Data from: Phenological mismatch and ontogenetic diet shifts interactively affect offspring condition in a passerine

description: Climate change may cause phenological asynchrony between trophic levels,
 which can lead to mismatched reproduction in animals. Although indirect
 effects of mismatch on fitness are well described, direct effects on
 parental prey choice are not. Moreover, direct effects of prey variation
 on offspring condition throughout their early development are
 understudied. Here, we used camera trap data collected over 2 years to
 study the effects of trophic mismatch and nestling age on prey choice in
 pied flycatchers (Ficedula hypoleuca). Furthermore, we studied the effect
 of mismatch and variation in nestling diet on offspring condition. Both
 experimentally induced and natural mismatches with the caterpillar peak
 negatively affected absolute and relative numbers of caterpillars and
 offspring condition (mass, tarsus and wing length) and positively affected
 absolute and relative numbers of flying insects in the nestling diet.
 Feeding more flying insects was negatively correlated with nestling day 12
 mass. Both descriptive and experimental data showed preferential feeding
 of spiders when nestlings were &lt;7 days old. Receiving more spiders
 during this phase was positively correlated with tarsus growth. These
 results highlight the need for a more inclusive framework to study
 phenological mismatch in nature. The general focus on only one prey type,
 the rarity of studies that measure environmental abundance of prey, and
 the lack of timing experiments in dietary studies currently hamper
 understanding of the actual trophic interactions that affect fitness under
 climate change.
description: diet_ageContains the R script that uses the data file 1213all.csv to analyze dietary variation and make the graphs.201213allPrincipal file containing all the prey datafitnessRR script to analyze effect of diet on components of fitness. Reads into the data file fitndiet1213.csv and feeding1213.csvfeeding1213Contains the feeding rates of different prey types across age classesfitndiet1213Contains measures of offspring condition and feeding rates