cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5061/dryad.905qfttmg
title: Biophysical models unravel associations between glucocorticoids and thermoregulatory costs across avian species

description: Glucocorticoids (GCs) are metabolic hormones that regulate physiological
 and behavioural responses to environmental change and mediate homeostasis
 maintenance in vertebrates. Despite the assumption that GCs covary with
 energy metabolism, we yet lack a mechanistic understanding of how
 environmental factors such as temperature modulate GC variation through
 their effect on organismal energy balance. In particular, the mechanisms
 linking temperature-dependent metabolic rate and GCs at broad spatial
 scales and across species remain poorly investigated. Here we used
 biophysical models to calculate thermoregulatory costs (i.e., the amount
 of heat required to keep body temperature in homeostasis) of free-living
 birds as a function of environmental conditions, body size, shape, and
 insulating layer of feathers. We then investigated the link between
 ambient temperature, cost of thermoregulation and baseline plasma GC
 concentrations in a comparative study including GC data from 94 bird
 species from HormoneBase. We found a significant, positive association
 between thermoregulatory costs and baseline GC concentrations.
 Interestingly, models including thermoregulatory costs better explained GC
 variation when compared to those including ambient temperature as a
 predictor variable. This result suggests that body size and shape
 fundamentally modulate energy requirements for thermoregulation and
 thereby GC concentrations in the wild. By providing a mechanistic
 description of the link between ambient temperature and thermoregulatory
 metabolism, biophysical models provide a tool to predict the impact of
 environmental conditions on energy metabolism. Our work demonstrates that
 differences in thermoregulation modulate variation in GC concentrations
 across a broad climatic gradient.
DOI: 10.5061/dryad.5hqbzkh6n
title: Stepping into the Wildeverse: Evaluating the impact of augmented reality mobile gaming on pro-conservation behaviours

description: Promoting pro-conservation behaviours has become a priority for
 conservation organisations worldwide. Yet, current engagement strategies
 still face a number of barriers to creating successful interventions at
 the scale needed to meet global sustainability challenges. Online and
 mobile games enjoy immense worldwide popularity, tapping into an audience
 not normally reached through conventional conservation outreach channels.
 Despite this potential to be a new, high impact and scalable platform for
 promoting pro-environmental behaviours, the opportunities within digital
 games for conservation have thus far been little explored and
 organisations have called for robust impact evaluations for this medium.
 Therefore, we investigated the effectiveness of the augmented reality game
 Wildeverse, which seeks to generate support for ape conservation and
 encourage pro-environmental behaviours. We conducted a randomised control
 trial to experimentally compare the impacts of this game against watching
 a documentary, a conventional conservation outreach intervention. We
 compared changes in participants’ knowledge, attitudes and revealed
 donation behaviours across the two groups and found that games performed
 as well as documentaries in supporting positive environmental knowledge
 and attitudes. The results gathered from this study provide experimental
 insight into the potential for the broader use of digital games for
 conservation outreach and also provide evidence against the argument that
 gaming can detract from real-world environmental problems creating a
 disconnect with these issues. However, results from this study could not
 provide any evidence that Wildeverse was successful in achieving its
 additional aim of encouraging players to donate to conservation, which
 provides evidence for the existence of an Environmental Values-Behaviour
 (EVB) gap in conservation gaming. The gaming industry is global and
 rapidly growing and should no longer be ignored as an avenue for
 conservation outreach. We recommend several ways in which future studies
 can expand on this work to better understand how to effectively harness
 the power of digital games to drive tangible change that benefits
 biodiversity.
DOI: 10.5061/dryad.8w9ghx3nc
title: Machine learning techniques for mortality prediction in emergency departments: a systematic review

description: This systematic review aimed to assess the performance and clinical
 feasibility of ML algorithms in prediction of in-hospital mortality for
 medical patients using vital signs at emergency departments. Design: A
 systematic review was performed. Setting: The databases including Medline
 (PubMed), Scopus, and Embase (Ovid) were searched between 2010 and 2021,
 to extract published articles in English, describing ML-based models
 utilizing vital signs variables to predict in-hospital mortality for
 patients admitted at emergency departments. CHARMS checklist was used for
 study planning and data extraction. The risk of bias for included papers
 was assessed using the PROBAST tool. Participants: Admitted patients to
 the ED Main outcome measure: In-hospital mortality. Results: Fifteen
 articles were included in the final review. We found that eight models
 including logistic regression, decision tree, K-nearest neighbors, support
 vector machine, gradient boosting, random forest, artificial neural
 networks, and deep neural networks have been applied in this domain. Most
 studies failed to report essential main analysis steps such as data
 preprocessing and handling missing values. Fourteen included studies had a
 high risk of bias in the statistical analysis part, which could lead to
 poor performance in practice. Although the main aim of all studies was
 developing a predictive model for mortality, nine articles did not provide
 a time horizon for the prediction. Conclusion: This review provided an
 updated overview of the state-of-the-art and revealed research gaps; based
 on these, we provide eight recommendations for future studies to make the
 use of ML more feasible in practice. By following these recommendations,
 we expect to see more robust ML models applied in the future to help
 clinicians identify patient deterioration earlier.
description: Three databases
 including Medline (PubMed), Scopus, and Embase (Ovid) were targeted.
 Relevant articles were extracted using a broad range of relevant keywords.
 We stratified keywords into five groups namely, ML keywords, medical
 keywords, document type, publication year, and language. The keywords in a
 group were paired using OR operators and all groups were paired using AND
 operator.
DOI: 10.5061/dryad.n02v6wwzc
title: The genotypic data of elite European cultivar panel comprising 358 winter and 14 summer wheat varieties released from 1975 to 2007 at different marker densities

description: This submission contains the genotpying data corresponding to the
 GABI-WHEAT and its subset TROST panel, at different densities i.e 35k, 90k
 for GABI-WHEAT and 135k for TROST
 panel. Additionally, the marker oligo sequences,
 envisioned to be used for mapping to wheat reference genome
 for obtaining marker phyical positions and thus assist genomic
 interoperability, are included.  (35k, 135k and 90k are names
 given to markers originating from Affymetrix [Allen et al.,
 2017*; Muqaddasi et al., 2019, Muqaddasi et al.,
 2020**] and 90k iSELECT [Wang et al., 2014***] SNP array
 chips) *https://doi.org/10.1111/pbi.12635
 **https://doi.org/10.3835/plantgenome2018.05.0029
 ***https://doi.org/10.1111/pbi.12183
DOI: 10.5061/dryad.2fqz612q3
title: Growth model used in Guzy et al. Increased growth rates of stream salamanders following forest harvesting

description: Timber harvesting can influence headwater streams by altering stream
 productivity, with cascading effects on the food web and predators within,
 including stream salamanders. Although studies have examined shifts in
 occupancy or abundance following timber harvest, few examine sublethal
 effects such as changes in growth and demography. To examine the effect of
 upland harvesting on growth of the stream-associated Ouachita dusky
 salamander (Desmognathus brimleyorum), we used capture-mark-recapture over
 three years at three headwater streams embedded in intensely managed pine
 forests in west-central Arkansas. The pine stands surrounding two of the
 streams were harvested, with retention of a 14 and 21 m-wide forested
 stream buffer on each side of the stream, whereas the third stream was an
 unharvested control. At the two treatment sites, measurements of
 newly-metamorphosed salamanders were on average 4.0 and 5.7 mm larger
 post-harvest compared to pre-harvest. We next assessed the influence of
 timber harvest on growth of post-metamorphic salamanders with a
 hierarchical von Bertalanffy growth model that included an effect of
 harvest on growth rate. Using measurements from 839 individual D.
 brimleyorum recaptured between 1 and 6 times (total captures n=1,229) we
 found growth rates to be 1.4 times higher post-harvest. Our study is among
 the first to examine responses of individual stream salamanders to timber
 harvesting and we discuss mechanisms that may be responsible for observed
 shifts in growth. Our results suggest timber harvest that includes
 retention of a riparian buffer (i.e., Streamside Management Zone) may have
 short term positive effects on juvenile stream salamander growth,
 potentially offsetting negative sublethal effects associated with harvest.
description: We assessed growth of post metamorphic <i>D.
 brimleyorum</i> with Wang’s (1998) parameterization of the Fabens
 method for estimating von Bertalanffy growth model parameters.
 Wang, Y. 1998. An improved Fabens method for estimation of growth
 parameters in the von Bertalanffy model with individual asymptotes.
 Canadian Journal of Fisheries and Aquatic Sciences
 55(2):397–400.
description: Included are the data and model used to estimate growth of post
 metamorphic <i>D. brimleyorum.</i>
DOI: 10.5061/dryad.gf1vhhmqs
title: Data from: Nutrient enrichment increases invertebrate herbivory and pathogen damage in grasslands

description: This dataset contains data on leaf damage by invertebrates and pathogens
 derived in a globally-distributed experiment manipulating nutrient
 addition (Nutrient Network). In total we estimated leaf damage on 153
 plant taxa from twenty-seven grasslands worldwide, under ambient
 conditions and with experimentally elevated nitrogen and phosphorus.
 Additionally, we give MAT and MAP from WorldClim 1 for each site and
 percent cover for each plant species in the respective plot.
description: For each species, we assessed the damage on one fully-expanded
 leaf from each of five individual plants per plot (if available). We
 strived to sample individuals from different parts of the plots, avoiding
 clusters of individuals as much as possible.  In addition, individual
 plants and leaves were sampled randomly with respect to the response of
 interest. For plants with stems, we chose leaves approximately halfway up
 the stem, and for plants without stems, we chose fully-expanded, mid-aged
 leaves. For each leaf, we visually estimated the area damaged by
 invertebrates (chewing and mining) and pathogens (rust, powdery mildew,
 other pathogens), using four categories (A= 0%, B= 1-5%, C= 6-25%, D=
 greater than 25%). For our analysis, we converted categories to numeric
 values that represent the midpoint of each range (A= 0%, B= 3%, C= 15%, D=
 63%).
description: All further information can be found in the related
 publication.
DOI: 10.5061/dryad.gxd2547nb
title: Species traits and CWM data: Recent warming causes functional borealization and diversity loss in deep fish communities east of Greenland

description: Aim: We asessed whether functional turnover in east Greenland fish driven
 by increased occurrence of boreal species compensates for the
 climate-driven loss of species thereby maintaining functional diversity
 and ecological function. Location: The study region 
 encompasses a shelf and slope area located offshore between  63°
 N and 66° N, east of Greenland. Methods: We investigated
 spatio-temporal changes in fish communities based on a unique dataset
 covering a depth range of 1500m over 18 years combined with a demersal
 fish trait dataset. We analyzed the species by trait matrix using
 principal component analysis (PCA). To investigate trait patterns across
 the communities (sites), community weighted mean (CWM) traits were
 calculated and analysed using PCA. The CWM traits matrix was further
 analysed by redundancy analysis (RDA) with depth-strata and year as
 explanatory variables. Results: We found signs of a taxonomic and
 functional borealization, associated with a loss in functional diversity,
 down to 1000m, characterized by an increase in mobile generalists, and a
 decrease in bottom dwelling benthivores. The functional turnover brought
 about by boreal species was not sufficient to compensate for the loss of
 Arctic species traits, hence the loss in functional diversity. Main
 conclusions: The functional turnover brought about by boreal
 species was not sufficient to compensate for the loss of Arctic species
 traits that may negatively affect ecosystem robustness to environmental
 change. These observations are most likely not unique to this study area,
 and calls for the inclusion of the deep sea in climate adaptation of
 management strategies.
description: For use and publication of these data, the authors must be
 contacted.
DOI: 10.5061/dryad.zcrjdfnd1
title: Water potential data and model output

description: Classifying the diverse ways that plants respond to hydrologic stress into
 generalizable ‘water-use strategies' has long been an
 eco-physiological research goal. While many schemes for describing
 water-use strategies have proven to be quite useful, they are also
 associated with uncertainties regarding their theoretical basis and their
 connection to plant carbon and water relations. In this review, we discuss
 the factors that shape plant water stress responses and assess the
 approaches used to classify a plant’s water-use strategy, paying
 particular attention to the popular but controversial concept of a
 continuum from isohydry to anisohydry. A generalizable and predictive
 framework for assessing plant water-use strategies has been historically
 elusive, yet recent advances in plant physiology and hydraulics provide
 the field with a way past these obstacles. Specifically, we promote the
 idea that many metrics that quantify water-use strategies are highly
 dynamic and emergent from the interaction between plant traits and
 environmental conditions, and that this complexity has historically
 hindered the development of a generalizable water-use strategy framework.
 This idea is explored using a plant hydraulics model to identify: 1)
 distinct temporal phases in plant hydraulic regulation during drought that
 underpin dynamic water-use responses, and 2) how variation in both traits
 and environmental forcings can significantly alter common metrics used to
 characterize plant water-use strategies. This modeling exercise can bridge
 the divide between various conceptualizations of water-use strategies and
 provides targeted hypotheses to advance understanding and quantification
 of plant water status regulation across spatial and temporal scales.
 Finally, we describe research frontiers that are necessary to improve the
 predictive capacity of the plant water-use strategies concept, including
 further investigation into the belowground determinants of plant water
 relations, targeted data collection efforts, and the potential to scale
 these concepts from individuals to whole regions.
DOI: 10.5061/dryad.kwh70rz4j
title: Morphological measurements of six cave and nine surface Asellus aquaticus populations

description: The dataset contains data of 17 functional morphological traits measured
 on 656 individuals from the Asellus aquaticus species
 complex from six cave and nine surface populations from four countries.
 The measured traits are covering a wide range of functionalities including
 locomotion, fecundity and sensing. By including individuals from
 both sex, and from surface and cave habitats questions
 concerning troglomorphic adaptation and sexual dimorphism and
 their interaction can be addressed.
DOI: 10.5281/zenodo.18322065
title: The Vienna 4G/5G Drive-Test Dataset

description: Vienna 4G/5G Drive-Test Dataset is a large-scale open dataset of cellular measurements collected across Vienna, Austria. It combines passive scanner measurements with active smartphone (UE) logs, providing complementary network-side and user-side views of deployed Long Term Evolution (LTE) and 5G New Radio (5G NR) radio access networks. All measurements are georeferenced (WGS84/EPSG:4326) and cover diverse urban and suburban environments, enabling spatially resolved studies of radio propagation, coverage, and performance.

In addition to measurements, the dataset provides inferred deployment descriptors for a representative subset of cells, including estimated site locations, sector orientations, and antenna heights derived from measurement-based inference (e.g., timing-advance–based localization and signal-strength analysis). LTE measurements can be associated with inferred deployment metadata via standardized network-reported identifiers. For 5G NR handset measurements collected in non-standalone (NSA) mode, where physical NR identifiers are not exposed, the dataset includes auxiliary dataset-internal identifiers (cell_id_dummy, gnb_id_dummy) where reliable estimates are available.

To support environment-aware analysis and digital-twin workflows, the repository also includes a building and terrain model of Vienna released by the City of Vienna under CC BY 4.0 (see city_model/README.md for attribution and details). Together, the measurement data, inferred deployment descriptors, and environmental context enable geometry-conditioned and environment-aware machine learning tasks (e.g., radio map estimation, propagation modeling, and digital-twin calibration), as well as benchmarking for coverage analysis and base station localization.

Contents (high level)





Scanner measurements (LTE & 5G NR): snapshot-based detections with per-cell metrics; CINR is used only for LTE scanner, while other quality ratios are reported as SINR.




Smartphone/UE logs (LTE & 5G NR NSA): connected-mode measurements with radio, mobility, and QoS-relevant KPIs.




Estimated cell information: inferred positions, orientations, and antenna heights (subset coverage).




City model (optional): building and terrain rasters for Vienna (separately documented).



License





Measurement data, inferred deployment descriptors, and repository documentation: Creative Commons Attribution 4.0 International (CC BY 4.0).




Building and terrain model: CC BY 4.0, attributed to Stadtvermessung Wien / Open Government Data Wien (see city_model/README.md).



Citation

Please cite the dataset DOI and the associated journal paper:





Dataset (all versions): https://doi.org/10.5281/zenodo.18322065




Paper: [to be added after publication]
description: v3 ChangelogFixed cell metadata link issue in 5g scanner datasetRemoved rows with invalid cell ids from 5g scanner dataset
DOI: 10.5281/zenodo.18338399
title: The Vienna 4G/5G Drive-Test Dataset

description: Vienna 4G/5G Drive-Test Dataset is a large-scale open dataset of cellular measurements collected across Vienna, Austria. It combines passive scanner measurements with active smartphone (UE) logs, providing complementary network-side and user-side views of deployed Long Term Evolution (LTE) and 5G New Radio (5G NR) radio access networks. All measurements are georeferenced (WGS84/EPSG:4326) and cover diverse urban and suburban environments, enabling spatially resolved studies of radio propagation, coverage, and performance.

In addition to measurements, the dataset provides inferred deployment descriptors for a representative subset of cells, including estimated site locations, sector orientations, and antenna heights derived from measurement-based inference (e.g., timing-advance–based localization and signal-strength analysis). LTE measurements can be associated with inferred deployment metadata via standardized network-reported identifiers. For 5G NR handset measurements collected in non-standalone (NSA) mode, where physical NR identifiers are not exposed, the dataset includes auxiliary dataset-internal identifiers (cell_id_dummy, gnb_id_dummy) where reliable estimates are available.

To support environment-aware analysis and digital-twin workflows, the repository also includes a building and terrain model of Vienna released by the City of Vienna under CC BY 4.0 (see city_model/README.md for attribution and details). Together, the measurement data, inferred deployment descriptors, and environmental context enable geometry-conditioned and environment-aware machine learning tasks (e.g., radio map estimation, propagation modeling, and digital-twin calibration), as well as benchmarking for coverage analysis and base station localization.

Contents (high level)





Scanner measurements (LTE & 5G NR): snapshot-based detections with per-cell metrics; CINR is used only for LTE scanner, while other quality ratios are reported as SINR.




Smartphone/UE logs (LTE & 5G NR NSA): connected-mode measurements with radio, mobility, and QoS-relevant KPIs.




Estimated cell information: inferred positions, orientations, and antenna heights (subset coverage).




City model (optional): building and terrain rasters for Vienna (separately documented).



License





Measurement data, inferred deployment descriptors, and repository documentation: Creative Commons Attribution 4.0 International (CC BY 4.0).




Building and terrain model: CC BY 4.0, attributed to Stadtvermessung Wien / Open Government Data Wien (see city_model/README.md).



Citation

Please cite the dataset DOI and the associated journal paper:





Dataset (all versions): https://doi.org/10.5281/zenodo.18322065




Paper: [to be added after publication]
description: v3 ChangelogFixed cell metadata link issue in 5g scanner datasetRemoved rows with invalid cell ids from 5g scanner dataset