cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5061/dryad.x69p8czfm
title: Data from: Early spread of COVID-19 in Romania

description: This individual-level dataset describes (a) the early
 spread of the novel coronavirus (COVID-19) and (b) the first
 human-to-human transmission networks, in Romania. Specifically, in the
 first set of data (a), we profile the first 147 cases referring
 to: whether an individual is an index case, place of
 residence, sex, age, probable citizenship, probable
 country and place of infection, arrival date to a Romanian county,
 COVID-19 confirmation date as well as the sources of information. Also,
 the second set of data (b) contains the first observed human-to-human
 COVID-19 transmission networks (attributes of the nodes and the direction
 of COVID-19 transmission, i.e. who infects whom). Networks embed 159 nodes
 and 203 transmission ties. Indirect identifiers are masked /
 de-identified. 
description: The dataset was collected from the Romanian Ministry of Health
 communiqués. Data from official statements was supplemented with
 information reported by Romanian local media. This strategy was deemed to
 improve the quality and accuracy of the information communicated by the
 Romanian officials. Every reported individual case (microdata) is
 assigned online public sources which can be subsequently accessed for
 further details. The level of data granularity prevents any form of
 disclosing and tracking the infected persons. Additionally,  indirect
 identifiers are masked / de-identified. The first COVID-19 confirmed case
 in the dataset is on February 22, 2020, while the last one is on April 2,
 2020.  We employed the following case selection method:
 firstly, we started by selecting for each Romanian county, the first
 patients (index cases). Afterwards, we continued by selecting all publicly
 available individual cases officially reported on the territory of
 Romania. When the official Romanian authorities restricted public
 access to COVID-19 infected patients, we stopped the data collection
 procedure. Human-to-human transmission networks were built by scanning, in
 the available official data, for infection chains (since February 22,
 2020, and as of March 20, 2020). The process was driven by the condition
 that both the source and the target of a chain are officially COVID-19
 confirmed cases. 
description: The dataset is made up of three sets of information: (i.)
 attributes of the first 147 COVID-19 confirmed cases in Romania; (ii.)
 attributes of the nodes embedded in the COVID-19 human-to-human
 transmission networks; (iii.) transmission ties (arrows) illustrating who
 infects who. The first two sets of information are in a rectangular format
 (case by variable), while the third set of information is in a square
 matrix format (an adjacency binary matrix of 159 by 159 nodes). A
 description of the variables necessary for a potential re-use of the whole
 dataset is available as a ReadMe file (see "HanceanMG PercM LernerJ
 Early spread of COVID19 in Romania_Readme.txt") or in the
 "COVID-19_ROMANIA_variabile_description.xlsx" file. We did not
 apply any missing data imputation technique in the dataset.
DOI: 10.5061/dryad.w0vt4b8n7
title: Data from: Population genomics and history of speciation reveal fishery management gaps in two related redfish species (Sebastes mentella and Sebastes fasciatus)

description: Understanding the processes shaping population structure and reproductive
 isolation of marine organisms can improve their management and
 conservation. Using genomic markers combined with estimation of individual
 ancestries, assignment tests, spatial ecology, and demographic modelling,
 we (i) characterized the contemporary population structure, (ii) assessed
 the influence of space, fishing depth and sampling years on contemporary
 distribution, and (iii) reconstructed the speciation history of two
 cryptic redfish species, Sebastes
 mentella and S. fasciatus. We genotyped 860 individuals
 in the Northwest Atlantic Ocean using 24,603 filtered single nucleotide
 polymorphisms (SNPs). Our results confirmed the clear genetic
 distinctiveness of the two species, and identified three ecotypes
 within S. mentella and five populations in S.
 fasciatus. Multivariate analyses highlighted the influence of
 spatial distribution and depth on the overall genomic variation while
 demographic modeling revealed that secondary contact models best explained
 inter and intra genomic divergence. These species, ecotypes, and
 populations can be considered as a rare and wide continuum of genomic
 divergence in the marine environment. This acquired knowledge pertaining
 to the evolutionary processes driving population divergence and
 reproductive isolation will help optimizing the assessment of demographic
 units and possibly, to refine fishery management units.
description: Samples collected by the Department of Fishery and Ocean
 Canada. RAD-sequencing libraries prepared in Université
 LAVAL.
DOI: 10.5061/dryad.w3r2280n3
title: Glucocorticoids link forest type to local abundance in tropical birds

description: Selective logging is a major driver of environmental changes in the
 tropics. Recently, there has been increasing interest in understanding
 which traits make bird species resilient or vulnerable to such changes.
 Physiological stress mediated by the steroid hormone corticosterone (CORT)
 might underlie changes in local abundance of species because it regulates
 a range of body functions and behaviours to maintain homeostasis in
 changing environments. We conducted a three-year study to assess: (i) the
 variation in CORT levels in feathers (where CORT is deposited during the
 moult) of ten understory bird species across both unlogged old-growth
 forest and selectively logged forest in Borneo, (ii) how this variation is
 associated with within-year variation in population abundance between
 forest types, and (iii) whether the difference in feather CORT (fCORT)
 between co-specific populations living in unlogged and logged forests in
 one year is related with their difference in population abundance the
 following year. We used effect size estimates to measure standardized
 magnitude and direction of fCORT changes between unlogged and selectively
 logged forest. We found small to large effect sizes, indicating large
 among species variation in physiological acclimatization to changes in
 forest conditions. In 2016 and 2018, species with relatively higher fCORT
 in unlogged forest were relatively more abundant in logged forest in the
 same year; in 2017, species with relatively higher fCORT in logged forest
 were relatively more abundant in logged forest. Importantly, we found that
 for a given species, the difference in fCORT at year (x) between unlogged
 and logged forests was negatively related with a difference in its local
 abundance between the two forest types in the following year (x+1). Our
 results point to glucocorticoid hormones as potential mediators of
 carry-over effects on population abundance due to direct and indirect
 effects of silvicultural practices in tropical forests of Borneo,
 suggesting fCORT as a potential marker of population changes.
DOI: 10.6084/m9.figshare.31164532
title: Tinnitus Data

description: <b>Objectives</b><b>: </b>Tinnitus affects various aspects of health, yet its impact on occupational functioning remains less well explored. This study investigated the impact of tinnitus on work productivity, the role of comorbidities of anxiety, depression, and quality of life, and explored whether an evidence-based intervention may potentially influence workplace functioning. <b>Methods</b>: The study used cross-sectional and longitudinal data and employed mixed methods design to enable comparing work productivity before and after undertaking ICBT for tinnitus. Data were collected from 449 participants (64% employed; mean age of 54.4 years) who were seeking to enroll in an internet-based psychological intervention. Of these, 200 also completed an internet-based cognitive behavioral therapy intervention (ICBT). Data were analyzed using descriptive statistics, analysis of variance, qualitative content analysis and comparisons made between those whose work was unaffected due to tinnitus and those who worked less. <b>Results</b>: Pre-intervention, 81% reported no change in work patterns. Because of tinnitus 11% worked fewer hours, 7% had stopped working, and 1% received disability allowance. Participants were significantly less effective in their work capacity prior to undertaking the intervention compared to post-intervention and at follow-up; for the overall sample and post-intervention improvements were observed in tinnitus distress, anxiety, depression, and insomnia. There was significant time difference between group interactions for tinnitus, anxiety and insomnia but not for depression and quality of life when comparing those working and not working. Qualitative findings highlighted challenges related to attention, fatigue, and communication, as well as coping strategies and role modifications. <b>Conclusions</b>: Further studies are required to build on this exploratory research. The present findings underscore the need for workplace policies recognizing tinnitus as a potential disability and providing reasonable accommodation and options to access tinnitus interventions. Clinical interventions should also consider how to improve workplace functioning in individuals with bothersome tinnitus. Future research should explore ways to address cognitive load and enhance productivity.<br>
DOI: 10.6084/m9.figshare.31164532.v1
title: Tinnitus Data

description: <b>Objectives</b><b>: </b>Tinnitus affects various aspects of health, yet its impact on occupational functioning remains less well explored. This study investigated the impact of tinnitus on work productivity, the role of comorbidities of anxiety, depression, and quality of life, and explored whether an evidence-based intervention may potentially influence workplace functioning. <b>Methods</b>: The study used cross-sectional and longitudinal data and employed mixed methods design to enable comparing work productivity before and after undertaking ICBT for tinnitus. Data were collected from 449 participants (64% employed; mean age of 54.4 years) who were seeking to enroll in an internet-based psychological intervention. Of these, 200 also completed an internet-based cognitive behavioral therapy intervention (ICBT). Data were analyzed using descriptive statistics, analysis of variance, qualitative content analysis and comparisons made between those whose work was unaffected due to tinnitus and those who worked less. <b>Results</b>: Pre-intervention, 81% reported no change in work patterns. Because of tinnitus 11% worked fewer hours, 7% had stopped working, and 1% received disability allowance. Participants were significantly less effective in their work capacity prior to undertaking the intervention compared to post-intervention and at follow-up; for the overall sample and post-intervention improvements were observed in tinnitus distress, anxiety, depression, and insomnia. There was significant time difference between group interactions for tinnitus, anxiety and insomnia but not for depression and quality of life when comparing those working and not working. Qualitative findings highlighted challenges related to attention, fatigue, and communication, as well as coping strategies and role modifications. <b>Conclusions</b>: Further studies are required to build on this exploratory research. The present findings underscore the need for workplace policies recognizing tinnitus as a potential disability and providing reasonable accommodation and options to access tinnitus interventions. Clinical interventions should also consider how to improve workplace functioning in individuals with bothersome tinnitus. Future research should explore ways to address cognitive load and enhance productivity.<br>
DOI: 10.5061/dryad.9w0vt4bc2
title: Genomic prediction applied to multiple traits and environments in second season maize hybrids

description: Genomic selection has become a reality in plant breeding programs with the
 reduction in genotyping costs. Especially in maize breeding programs, it
 emerges as a promising tool for predicting hybrid performance. The
 dynamics of a commercial breeding program involve the evaluation of
 several traits simultaneously in a large set of target environments.
 Therefore, multi-trait multi-environment (MTME) genomic prediction models
 can leverage these data sets by exploring the correlation between traits
 and Genotype-by-Environment (G×E) interaction. Herein, we assess
 predictive abilities of univariate and multivariate genomic prediction
 models in a maize breeding program. To this end, we used data from 415
 maize hybrids evaluated in four years of second season field trials for
 the traits grain yield, number of ears and grain moisture. Genotypes of
 these hybrids were inferred in silico based on their parental inbred lines
 using Single Nucleotide Polymorphisms (SNPs) markers obtained via
 genotyping-by-sequencing (GBS). Because genotypic information was
 available for only 257 hybrids, we used the genomic and pedigree
 relationship matrices to obtain the H matrix for all 415 hybrids. Our
 results demonstrated that in the single-environment context the use of
 multi-trait models was always superior in comparison to their univariate
 counterparts. Besides that, although MTME models were not particularly
 successful in predicting hybrid performance in untested years, they
 improved the ability to predict the performance of hybrids that had not
 been evaluated in any environment. However, the computational requirements
 of this kind of model could represent a limitation to its practical
 implementation and further investigation is necessary.
description: <strong>BLUEs</strong><br> Phenotypic data of 
 the 415 maize hybrids evaluated <br>
 <strong>Hinv</strong><br> <b>H</b> matrix
 for all the 415 maize hybrids evaluated
DOI: 10.5061/dryad.gtht76hhs
title: Data from: The genetic architecture of maternal effects across ontogeny in the red deer

description: Maternal effects, either environmental or genetic in origin, are an
 underappreciated source of phenotypic variance in natural populations.
 Maternal genetic effects have the potential to constrain or enhance the
 evolution of offspring traits depending on their magnitude and their
 genetic correlation with direct genetic effects. We estimated the maternal
 effect variance and its genetic component for twelve traits expressed over
 the life-history in a pedigreed population of wild red deer (morphology,
 survival/longevity, breeding success). We only found support for maternal
 genetic effect variance in the two neonatal morphological traits: birth
 weight (h2Mg = 0.31) and birth leg length (h2Mg = 0.17). For these two
 traits, the genetic correlation between maternal and direct additive
 effects was not significantly different from zero, indicating no
 constraint to evolution from genetic architecture. In contrast, variance
 in maternal genetic effects enhanced the additive genetic variance
 available to respond to natural selection. Maternal effect variance was
 negligible for late-life traits. We found no evidence for sex differences
 in either the direct or maternal genetic architecture of offspring traits.
 Our results suggest that maternal genetic effect variance declines over
 the lifetime, but also that this additional heritable genetic variation
 may facilitate evolutionary responses of early-life traits.
description: Individual and annual data on various morphological and life
 history traits in red deer (<i>Cervus elaphus</i>), and
 pedigree file for the study population. See
 "<strong>Data_description.txt</strong>" for
 details.
DOI: 10.5061/dryad.zcrjdfn7z
title: Data from: Mallard resource selection trade‐offs in a heterogeneous environment during autumn and winter

description: Animals select resources to maximize fitness but associated costs and
 benefits are spatially and temporally variable. Differences in wetland
 management influence resource availability for ducks and mortality risk
 from duck hunting. The local distribution of the Mallard (Anas
 platyrhynchos) is affected by this resource heterogeneity and variable
 risk from hunting. Regional conservation strategies primarily focus on how
 waterfowl distributions are affected by food resources during the
 nonbreeding season. To test if Mallard resource selection was related to
 the abundance of resources, risks, or a combination, we studied resource
 selection of adult female Mallards during autumn and winter. We developed
 a digital spatial layer for Lake St. Clair, Ontario, Canada, that
 classified resources important to Mallards and assigned these resources a
 risk level based on ownership type and presumed disturbance from hunting.
 We monitored 59 individuals with GPS back‐pack transmitters prior to,
 during, and after the hunting season and used discrete choice modeling to
 generate diurnal and nocturnal resource selection estimates. The model
 that classified available resources and presumed risk best explained
 Mallard resource selection strategies. Resource selection varied within
 and among seasons. Ducks selected for federal, state and private managed
 wetland complexes that provided an intermediate or relatively greater
 amount of refuge and foraging options than public hunting areas. Across
 all diel periods and seasons, there was selection for federally managed
 marshes and private supplemental feeding refuges that prohibited hunting.
 Mallard resource selection demonstrated trade‐offs related to the
 management of mortality risk, anthropogenic disturbances, and foraging
 opportunities. Understanding how waterfowl respond to heterogeneous
 landscapes of resources and risks can inform regional conservation
 strategies related to waterfowl distribution during the nonbreeding
 season.
description: Spatio-temporal data derived from GPS transmitters attached to
 adult female mallards at Lake St. Clair Canada. See Palumbo et. al 2019
 Mallard resource selection trade-offs in a heterogeneous environment
 durign autumn and winter.  http://dx.doi.org/10.1002/ece3.4864
description: See the supplemental material from Palumbo et. al 2019 Mallard
 resource selection trade-offs in a heterogeneous environment durign autumn
 and winter.  http://dx.doi.org/10.1002/ece3.4864
DOI: 10.15468/dl.qjrff6
title: Occurrence Download

description: A dataset containing 68 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Quercus parvula tamalpaisensis"
 ]
}

 The dataset includes 68 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002377-260126135527185/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5061/dryad.ghx3ffbkf
title: Data from: Supportive wind conditions influence offshore movements of Atlantic Coast piping plovers (Charadrius melodus melodus) during fall migration

description: In advance of large-scale development
 of offshore wind energy facilities throughout
 the U.S. Atlantic Outer Continental Shelf (OCS),
 information on the migratory ecology and routes of federally
 threatened Atlantic coast Piping Plovers (Charadrius melodus melodus) is needed to conduct risk assessments pursuant to the Endangered Species Act. We tagged adult Piping Plovers (n = 150) with digitally-coded VHF transmitters at two breeding areas within the southern New England region of the U.S. Atlantic Coast from 2015 to 2017. We tracked their migratory departure flights using a regional automated telemetry network (n = 30 stations) extending across a portion of the U.S. Atlantic Bight region, a section of the U.S. Atlantic coast and adjacent waters of the Atlantic Ocean extending from Cape Cod, Massachusetts to Cape Hatteras, North Carolina. Most adults departed within a 10-d window from 19 – 29 July, migrated nocturnally, and over 75% of individuals departed within 3-hrs of local sunset on evenings with supportive winds. Piping Plovers migrated offshore directly across the mid-Atlantic Bight, from breeding areas in southern New England to stopover sites spanning from New York to North Carolina, USA, over 800 km away. During offshore migratory flights, Piping Plovers flew at estimated mean speeds of 42 km/hr and altitudes of 288 m (range of model uncertainty: 36 – 1,031 m). This study provides new information on the timing, weather conditions, routes and altitudes of Piping Plovers during fall migration. This information can be used in estimations of collision risk that could potentially result from the construction of offshore wind turbines under consideration across large areas of the U.S. Atlantic OCS.      
description: Automated radio telemetry data from 150 Piping Plovers
 tagged with digitally-coded VHF transmitters and tracked by the Motus
 Wildlife Tracking System (www.motus.org). Piping Plovers were tagged at
 nesting sites in southern New England from 2015-2017.
DOI: 10.5061/dryad.gtht76hht
title: Integrating top-down and bottom-up effects of local density across scales and a complex life cycle

description: Effects of group size (local conspecific density) on individual
 performance can be substantial, yet it is unclear how these translate to
 larger-scale and longer-term outcomes. Effects of group size can be
 mediated by both top-down and bottom-up interactions, can change in type
 or direction across the life cycle, and can depend on the spatial scale at
 which group size is assessed. Only by determining how these different
 processes combine can we make predictions about how selection operates on
 group size or link hierarchical patterns of density-dependence with
 population dynamics. We manipulated the density of a leaf beetle,
 Leptinotarsa juncta, at three nested spatial scales (patch, plant within a
 patch, and leaf within plant) to investigate how conspecific density
 affects predator-mediated survival and resource-mediated growth during
 different life stages and across multiple spatial scales. We then used
 data from field predation experiments to assess how L. juncta densities at
 hierarchical scales affect different aspects of predation. Finally, we
 incorporated predator- and resource-mediated effects of density in a model
 to explore how changes in group size due to density-dependent predation
 might affect mass at pupation for survivors. The effects of L. juncta
 density on predation risk differed among scales. Per capita predation risk
 of both eggs and late-instar larvae was lowest at high patch-scale
 densities, but increased with plant-scale density. The final mass of
 late-instar larvae declined with increasing plant-scale larval density,
 potentially due to truncated development of high-density larvae. Predation
 incidence (i.e., group attack rate) increased with larval density at all
 spatial scales. A high coefficient of variation (i.e., greater
 aggregation) of L. juncta density was associated with lower predation
 incidence at some scales. Our model suggested that predator- and
 resource-mediated effects of density interact: lower survival at high
 larval density is mitigated by high final mass of larvae in the resulting
 smaller groups. Our results emphasize the importance of spatial scale and
 demonstrate that effects of top-down and bottom-up interactions are not
 necessarily independent. To understand how group size influences fitness,
 predator- and resource-mediated effects of density should be measured in
 their demographic and spatial context, and not in isolation.
description: README.txt file describes data files and variable names.