cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5061/dryad.fj6q573tc
title: Kinematic gait parameters of terrestrial and arboreal locomotion in Japanese macaques

description: This study used three-dimensional videography to quantify kinematic
 parameters thought to be associated with locomotor stability while two
 Japanese macaques walked on terrestrial and simulated arboreal substrates
 (a horizontal pole, which was narrow relative to the animal's body
 width). The parameters investigated included temporal-spatial gait
 variables, those associated with compliant walking, the height of the
 shoulder and hip, and hand and foot clearance during the swing phase. We
 found that there were many individual differences in kinematic adjustments
 made by the monkeys during arboreal locomotion. More importantly, the
 results were consistent between the monkeys for three parameters: maximum
 hand clearance, maximum hip height, and maximum foot clearance. The
 monkeys showed lower maximum hand and foot clearances during arboreal
 locomotion than during terrestrial locomotion, indicating that the hands
 and feet were kept close to the substrate surface during the swing phase.
 They also showed lower maximum hip heights during arboreal locomotion,
 suggesting that their whole-body centers of mass were lowered. These
 consistent kinematic adjustments can be interpreted as strategies for
 enhancing stability and reducing the risk of falling from a height.
description: This dataset contains raw kinematic gait data (.xlsx file)
 described in the article: "Higurashi, Y. and Kumakura, H. (2021)
 Kinematic adjustments to arboreal locomotion in Japanese macaques (Macaca
 fuscata). Primates. doi:10.1007/s10329-021-00937-3".
DOI: 10.5061/dryad.q2bvq83j1
title: Comparative genetics of Scyphozoan species reveals the geological history and contemporary processes of the Mediterranean Sea

description: Jellyfish are attractive biological indicators of shifts in the marine
 environment, as they have limited mobility and they are highly exposed to
 the physics and chemistry of the water column. For this study, we focused
 on three Mediterranean macro-jellyfish - Rhizostoma pulmo, Aurelia sp. and
 Phyllorhiza punctata. We used comparative genomics and molecular clock
 (timetree) approaches to estimate occurrences of past geological events
 and contemporary anthropogenic effects in the Mediterranean Sea. Our
 results proved that these events have left their mark on the genomes of
 marine jellyfish. Genomic data of R. pulmo revealed a divergence point
 between the East and West MS populations that occurred 4.59 Ma, after the
 Zanclean flood, suggesting that at this time these regions had formed the
 two distinct ecological environments we know today. We propose that before
 that time (4.59 Ma), the highly mixed Atlantic and Mediterranean waters
 led to the wide dispersal of different species in the MS, including the
 ancestral R. pulmo. At 4.59 Ma, a marine barrier between the Western and
 Eastern MS formed, indicating the possibility of a dramatic environmental
 event. The Central and Western MS showed signs of separation processes
 only at much later stages and at much slower rates. Using comparative
 genomics of the Aurelia species, we examined contemporary anthropogenic
 impacts with a focus on migration of scyphozoa across the Suez Canal
 (Lessepsian migration). Aurelia sp. is among the few scyphozoa we find in
 both seas. DNA analysis revealed that the Red Sea Aurelia sp. is more
 related to the Pacific Ocean Aurelia sp. than to the Eastern MS Aurelia
 species, while the latter is closer to populations from Croatia and
 Slovenia. Therefore, we conclude that there was no Lessepsian migration of
 the Aurelia species. Data from P. punctata showed that this species was
 only recently introduced to the MS, as samples from the MS were closer to
 Australian populations while they were distant from Mexico and Thailand
 populations. The recent introduction of P. punctata, apparently, results
 from anthropogenic transportation activity, such as ballast water
 discharge, with a known migration vector from Australia to the MS. Our
 findings demonstrate that jellyfish genomes can be used as a
 phylogeographic molecular tool to trace back past events across large
 temporal scales and reveal invasive species introduction due to human
 activity.
DOI: 10.5061/dryad.547d7wm7m
title: A systematic review of long-term avian studies on phenological changes of birds and their food

description: Many organisms reproduce in seasonal environments, where selection on
 timing of reproduction is particularly strong as consumers need to
 synchronize reproduction with the peaked occurrence of their food. When a
 consumer species changes its phenology at a slower rate than its
 resources, this may induce a trophic mismatch, i.e. offspring growing up
 after the peak in food availability, potentially leading to reductions in
 growth and survival. However, there is large variation in the degree of
 trophic mismatches as well as in its effects on reproductive output. Here,
 we explore the potential causes for variation in the strength of trophic
 mismatches in published studies of birds. Specifically, we ask whether the
 changes in the degree of mismatch that have occurred over time can be
 explained by a bird’s (1) breeding latitude, (2) migration distance,
 and/or (3) life-history traits. In particular, the script used
 contains the following analyses: (I) using linear mixed effect
 models we test whether the rate of change in food phenology, bird
 phenology and their difference (i.e. the rate of change in asynchrony)
 differed significantly from zero, (II) using linear mixed effect models we
 test whether the rate of change in asynchrony between birds and
 their food could be explained by breeding latitude, migratory behaviour
 and/or species life-history traits (body mass, clutch size and
 incubation duration). We found that none of these three factors explains
 changes in the degree of mismatch over time. Nevertheless, food phenology
 did advance faster at more northerly latitudes, while shifts in bird
 phenology did not show a trend with latitude. We argue that the lack of
 support in our results is attributable to the large variation in the
 metrics used to describe timing of food availability.
description: "Dataset_Zhemchuzhnikov_EcoEvo_2021_02_13.csv": dataset
 used for analysis
 "Analysis_Zhemchuzhnikov_EcoEvo_2021_02_13.R": script
 used for analysis
 "Zhemchuzhnikov_Versluijs_et_al_2021_readme.txt":
 general information and metadata
DOI: 10.5281/zenodo.18396697
title: QUALITY OF LIFE OF ADOLESCENTS WITH AUTONOMIC DYSFUNCTION

description: Autonomic dysfunction is a common condition in adolescence and is associated with a wide range of somatic and psychosocial symptoms that significantly affect quality of life. Adolescence represents a critical developmental period during which imbalance of the autonomic nervous system may negatively influence physical functioning, emotional stability, and social adaptation. This article aims to analyze the quality of life of adolescents with autonomic dysfunction based on current scientific evidence.

The study is based on a narrative review of scientific literature focusing on clinical manifestations of autonomic dysfunction and their impact on different domains of quality of life. The findings indicate that adolescents with autonomic dysfunction experience reduced physical activity, increased fatigue, sleep disturbances, and recurrent somatic complaints. In addition, emotional instability, anxiety, and social withdrawal were commonly observed, further impairing psychosocial well-being and academic performance.

Overall, the evidence suggests that autonomic dysfunction has a multidimensional negative impact on adolescents’ quality of life. Early diagnosis and a comprehensive, multidisciplinary approach to management may improve physical, emotional, and social functioning, thereby enhancing overall well-being during adolescence.
DOI: 10.5281/zenodo.18396698
title: QUALITY OF LIFE OF ADOLESCENTS WITH AUTONOMIC DYSFUNCTION

description: Autonomic dysfunction is a common condition in adolescence and is associated with a wide range of somatic and psychosocial symptoms that significantly affect quality of life. Adolescence represents a critical developmental period during which imbalance of the autonomic nervous system may negatively influence physical functioning, emotional stability, and social adaptation. This article aims to analyze the quality of life of adolescents with autonomic dysfunction based on current scientific evidence.

The study is based on a narrative review of scientific literature focusing on clinical manifestations of autonomic dysfunction and their impact on different domains of quality of life. The findings indicate that adolescents with autonomic dysfunction experience reduced physical activity, increased fatigue, sleep disturbances, and recurrent somatic complaints. In addition, emotional instability, anxiety, and social withdrawal were commonly observed, further impairing psychosocial well-being and academic performance.

Overall, the evidence suggests that autonomic dysfunction has a multidimensional negative impact on adolescents’ quality of life. Early diagnosis and a comprehensive, multidisciplinary approach to management may improve physical, emotional, and social functioning, thereby enhancing overall well-being during adolescence.
DOI: 10.5061/dryad.66t1g1k1q
title: Influence of tree hollow characteristics and forest structure on saproxylic beetle diversity in tree hollows in managed forests in a regional comparison

description: Tree hollows are among the rarest habitats in today’s Central European
 managed forests but are considered key structures for high biodiversity in
 forests. To analyze and compare the effects of tree hollow characteristics
 and forest structure on diversity of saproxylic beetles in tree hollows in
 differently structured managed forests, we examined between 41 and 50 tree
 hollows in beech trees in each of three state forest management districts
 in Germany. During the two-year study, we collected 283 saproxylic beetle
 species (5880 individuals; 22% threatened species), using emergence traps.
 At small spatial scales, size of hollow entrance and number of surrounding
 microhabitat structures positively influenced beetle diversity, while
 stage of wood mould decomposition had a negative influence, across all
 three forest districts. We utilized forest inventory data to analyze the
 effects of forest structure in radii of 50 to 500 m around tree hollows on
 saproxylic beetle diversity in the hollows. At these larger spatial
 scales, the three forest management districts differed remarkably
 regarding the parameters that influenced saproxylic beetle diversity in
 tree hollows. In Ebrach, characterized by mostly deciduous trees, the
 amount of dead wood positively influenced beetle diversity. In the mostly
 coniferous Fichtelberg forest district, with highly isolated tree hollows,
 in contrast, only the proportion of beech trees around the focal tree
 hollows showed a positive influence on beetle diversity. In Kelheim,
 characterized by mixed forest stands, there were no significant
 relationships between forest structure and beetle diversity in tree
 hollows. In this study, the same local tree hollow parameters influenced
 saproxylic beetle diversity in all three study regions, while parameters
 of forest structure at larger spatial scales differed in their importance,
 depending on tree-species composition.
DOI: 10.5061/dryad.cnp5hqc47
title: Landfast ice: a major driver of reproductive success in a polar seabird

description: In a fast-changing world, polar ecosystems are threatened by climate
 variability. Understanding the roles of fine-scale processes, and linear
 and nonlinear effects of climate factors on the demography of polar
 species is crucial for anticipating the future state of these fragile
 ecosystems. While the effects of sea ice on polar marine top predators are
 increasingly being studied, little is known about the impacts of landfast
 ice (LFI) on this species community. Based on a unique 39-year time series
 of satellite imagery and in situ meteorological conditions and on the
 world's longest dataset of emperor penguin ( Aptenodytes forsteri )
 breeding parameters, we studied the effects of fine-scale variability of
 LFI and weather conditions on this species' reproductive success. We
 found that longer distances to the LFI edge (i.e. foraging areas)
 negatively affected the overall breeding success but also the fledging
 success. Climate window analyses suggested that chick mortality was
 particularly sensitive to LFI variability between August and November.
 Snowfall in May also affected hatching success. Given the sensitivity of
 LFI to storms and changes in wind direction, important future
 repercussions on the breeding habitat of emperor penguins are to be
 expected in the context of climate change.
DOI: 10.5281/zenodo.18396418
title: SuperDARN data in netCDF format (2006-May)

description: 2006-May SuperDARN radar data in netCDF format. These files were produced using version 3.0 of the public FitACF algorithm, using the AACGM v2 coordinate system. Cite this dataset if using our data in a publication.


The RST is available here: https://github.com/SuperDARN/rst



The research enabled by SuperDARN is due to the efforts of teams of scientists and engineers working in many countries to build and operate radars, process data and provide access, develop and improve data products, and assist users in interpretation.
Users of SuperDARN data and data products are asked to acknowledge this support in presentations and publications.
A brief statement on how to acknowledge use of SuperDARN data is provided below.




Users are also asked to consult with a SuperDARN PI prior to submission of work intended for publication.
A listing of radars and PIs with contact information can be found here:
(SuperDARN Radar Overview)



Recommended form of acknowledgement for the use of SuperDARN data:



'The authors acknowledge the use of SuperDARN data. SuperDARN is a collection of radars funded by national scientific funding agencies of Australia, Canada, China, France, Italy, Japan, Norway, South Africa, United Kingdom and the United States of America.'
DOI: 10.5061/dryad.pnvx0k6m5
title: Weak evidence of carry-over effects of overwinter climate and habitat productivity on spring passage of migratory songbirds at a northern stopover site in Ontario

description: Reduced rainfall in tropical regions decreases the availability of food
 resources for overwintering songbirds, with negative impacts on their body
 condition. Increasingly dry conditions at tropical wintering sites as a
 result of climate change may impact the ability of temperate-breeding
 songbirds to prepare for and execute their spring migration. We studied
 the carry-over effects of natural climatic fluctuations created by the El
 Niño Southern Oscillation (ENSO) in tropical overwintering areas on seven
 long-distance migratory songbirds at a Canadian stopover site. We used the
 Normalized Difference Vegetation Index as a proxy for tropical habitat
 productivity and resource availability and a 34-year bird banding dataset
 from Long Point, Ontario, Canada to assess migration timing and stopover
 body condition. To increase our ability to detect potential carry-over
 effects, we employed a novel approach of using recent migratory
 connectivity studies to restrict the wintering ranges to areas most likely
 used by individuals passing through southern Ontario. Using linear models,
 we found that overwinter habitat productivity was significantly negatively
 influenced by dry ENSO events in the overwintering ranges in 3 of 7
 species, with a fourth near-significant. Subregional differences in the
 effect of ENSO on precipitation patterns may explain why we did not detect
 a consistent effect of ENSO on overwinter habitat productivity for all
 species. Despite restricting the wintering range and using a robust
 dataset for species with diverse life histories, we detected only weak and
 often conflicting evidence of population-level carry-over effects from dry
 ENSO events and overwinter habitat productivity. Negative carry-over
 effects may be strongest and most evident during the earlier stages of
 migration because birds may be able to compensate to some extent for poor
 departure condition and late departure while en route.
description: Usage notes in README included with data
DOI: 10.5281/zenodo.6632159
title: SuperDARN data in netCDF format (2006-May)

description: 2006-May SuperDARN radar data in netCDF format. These files were produced using version 3.0 of the public FitACF algorithm, using the AACGM v2 coordinate system. Cite this dataset if using our data in a publication.


The RST is available here: https://github.com/SuperDARN/rst



The research enabled by SuperDARN is due to the efforts of teams of scientists and engineers working in many countries to build and operate radars, process data and provide access, develop and improve data products, and assist users in interpretation.
Users of SuperDARN data and data products are asked to acknowledge this support in presentations and publications.
A brief statement on how to acknowledge use of SuperDARN data is provided below.




Users are also asked to consult with a SuperDARN PI prior to submission of work intended for publication.
A listing of radars and PIs with contact information can be found here:
(SuperDARN Radar Overview)



Recommended form of acknowledgement for the use of SuperDARN data:



'The authors acknowledge the use of SuperDARN data. SuperDARN is a collection of radars funded by national scientific funding agencies of Australia, Canada, China, France, Italy, Japan, Norway, South Africa, United Kingdom and the United States of America.'
DOI: 10.5061/dryad.vx0k6djqw
title: Myxophies species location and environmental variables

description: 1. Species distribution modeling, which allows users to predict the
 spatial distribution of species with the use of environmental covariates,
 has become increasingly popular, with many software platforms providing
 tools to fit such models. However, the species observations used can have
 varying levels of quality and can have incomplete information, such as
 uncertain or unknown species identity. 2. In this paper, we develop two
 algorithms to classify observations with unknown species identities which
 simultaneously predict several species distributions using spatial point
 processes. Through simulations, we compare the performance of these
 algorithms using 7 different initializations to the performance of models
 fitted using only the observations with known species identity. 3. We show
 that performance varies with differences in correlation among species
 distributions, species abundance, and the proportion of observations with
 unknown species identities. Additionally, some of the methods developed
 here outperformed the models that didn't use the misspecified data.
 We applied the best-performing methods to a dataset of three frog species
 (Mixophyes). 4. These models represent a helpful and promising tool for
 opportunistic surveys where misidentification is possible or for the
 distribution of species newly separated in their taxonomy.
description: Our study case dataset uses presence-only records from the online
 database of the Atlas of Living Australia. On this platform, any person
 that sees a frog in the wild can report the coordinates and other relevant
 information. We focused the analysis on the three northern species of
 <em>Mixophyes</em> genus that have been recently separated in
 Mahony et al. 2006. We cleaned our dataset by including only observations
 of adult specimens with date information and through verification by a
 specialist of these species, M. Mahony. The observations with known
 species labels were those for which we have associated genetic information
 as well as any observations reported after the taxonomic split in 2006.
 The rest of the observations were considered as having unknown species
 labels. We extracted relevant covariates for these
 species on a 5kmx5km grid from different sources: BBCVL, UC Davis Biogeo
 group and bom.
description: A README file details the data files and an Rscript documents
 details of the steps of the analysis.
DOI: 10.5061/dryad.v41ns1rvb
title: Spatio-temporal analysis of remotely sensed forest loss data in the Cordillera Administrative Region, Philippines

description: The Cordillera Administrative Region (CAR) in the Philippines is among the
 last forest frontiers in the country and is also home to 13 major
 watersheds in Northern Luzon that supply irrigation and hydroelectricity
 to other regions. However, it is faced with the deterioration of the
 quality of its watersheds due to forest loss driven mainly by agricultural
 expansion and illegal logging. Thus, this study was conducted to analyze
 the spatial and temporal patterns of forest loss that could serve as a
 basis for policy decisions. Also, this paper determined the strength of
 relationships using Pearson’s correlation coefficient (r) between forest
 loss and seven independent variables, which includes forest cover,
 agricultural areas, built-up, road network, and socio-economic data. This
 study utilized the Hansen Global Forest Change (HGFC), a Landsat-derived
 dataset from 2001 to 2019. Results revealed that 70,925 hectares (ha) of
 forest loss were detected with an annual deforestation rate of
 3,744 ha/year across the region. Based on the validation, the
 accuracy of the HGFC data is 72%, but great caution should be observed
 when using the data with less than 0.2 ha due to very low
 accuracy. On a region-wide analysis, only the forest cover had a strong
 association with the forest loss with a
 computed r-value of 0.78. Conversely, on a provincial
 level, the explanatory variables had a strong to moderately strong
 correlation with deforestation. Hence, immediate, science-based, and
 sustained regional and multi-stakeholder efforts are necessary to conserve
 and protect the remaining forest cover in the region.
description: The Hansen Global Forest Change version 1.7 datasets generated
 during and/or analysed during the current study are available in the earth
 engine partner’s website repository http://earthenginepartners.appspot.com/science-2013-global-forest. The datasets were developed by Hansen et al. (2013) in their paper "High-resolution global maps of 21st-century forest cover change". <i>Science,</i> <i>342 </i>(6160), 850-853. https://doi.org/10.1126/science.1244693 The census of population in the Philippines, including the project populations, used in this study can be retrieved from the Philippine Statistics Authority (PSA) website https://psa.gov.ph/statistics/census/projected-population The datasets were processed using an open source GIS software (QGIS version 3.16 Hannover) which can be downloaded from the QGIS website https://www.qgis.org/en/site/.