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Metadata for publication "Building Blocks for Deep Phenotyping in Infancy: A Use Case Comparing Spontaneous Neuromotor Functions in Prader-Willi Syndrome and Cerebral Palsy."
No full textThis paper is based on GMA assessments of 54 infants obtained from the Rehabilitation Department of the Children’s Hospital of Fudan University in Shanghai, China
Metadata for publication "Emerging Verbal Functions in Early Infancy: Lessons from Observational and Computational Approaches on Typical Development and Neurodevelopmental Disorders"
No full textThis publication is a review and is not based on original data
Metadata for publication "Predictions enable top-down pattern separation in the macaque face-processing hierarchy"
No full textThe stimuli and data of this study have been deposited in the Figshare database under accession code https://doi.org/10.6084/m9.figshare.24233185. Contained are all images presented, pair-wise separability (in degrees), representational dissimilarity matrices, and model-fits
Phenotypic Dairy Cattle Trait Expressions in Dependency of Social-Ecological Characteristics along Rural–Urban Gradients AND Gastrointestinal nematode and Eimeria spp. infections in dairy cattle along a rural-urban gradient
No full textThe aim of the present study was to infer phenotypic trait expressions via mixed modeling considering both social and ecological continuous descriptors simultaneously. In this regard, we selected a challenging heterogeneous social-ecological environment, with focus on the rising megacity Bangalore, located in southern India. Dairy traits from 517 dairy cattle were recorded in 121 herds, equally distributed along a southern and a northern rural–urban gradient of Bangalore, distinguishing between urban, mixed, and rural areas. Repeated records from three visits per herd included production traits (daily milk yield in liter: MY), energy efficiency indicators (body condition score: BCS), cow wellbeing indicators (udder hygiene score: UddHS, upper leg hygiene score: ULHS, hock assessment score: HAS, rectal temperature in °C: RT), and health traits (locomotion score: LS, subclinical mastitis: SubMast). Associations between a continuous rural–urban gradient and phenotypic trait expressions were analyzed via mixed modeling, additionally considering “classic” environmental explanatory variables such as climatic conditions. MY and BCS were higher in urban than in rural areas, associated with reduced SubMast and improved hygiene scores for UddHS and ULHS. Scores for wellbeing indicators HAS and LS were unfavorable for cows in urban areas, indicating poor leg health conditions in that area. In rural areas, least-squares means for RT were quite large, probably due to the scarcity of shading and heat insulation of the barns. To the best of our knowledge, this is the first study disentangling phenotypic trait expressions in the context of social-ecological heterogeneity, contributing to a deeper understanding of physiological mechanisms underlying genotype by environment interactions.Endoparasite infections can lead to considerable economic losses in dairy cattle due to decreases in milk yield and quality. Environmental and host-related factors contribute to endoparasite infection intensity and probability. Moreover, advancing urbanization influences parasite infection dynamics in livestock due to close human-animal cohabitation and changes in animal housing conditions. The aim of the present study was to investigate social-ecological effects on gastrointestinal nematode (GIN) and Eimeria spp. infections in dairy cattle along a rural-urban gradient in the emerging Indian megacity Bangalore. In this regard, 726 faecal samples from 441 dairy cattle of different ages and physiological stages were collected from 101 farms and examined at three visits between June 2017 and April 2018. Based on a survey stratification index (SSI) comprising built-up density and distance to the city center, we assigned the farms to urban, mixed and rural areas. GIN eggs were identified in the faeces of 243 cattle (33.5%; 95% confidence interval [CI]: 30.1–36.9%), and Eimeria spp. oocysts in the faeces of 151 cattle (20.8%; 95% CI: 17.9–23.7%). Co-infection rates of GIN and Eimeria spp. were 8.5 to 12.2% higher in rural compared to urban and mixed areas. The SSI effect significantly influenced Eimeria spp. infection probability and oocyst per gram of faeces (OpG; P < 0.001) with an infection probability and OpG higher than 26% and 40% for cattle kept in rural areas compared to cattle from urban areas. However, the SSI effect was not significant for the infection probability of GIN and for GIN eggs per gram of faeces (EpG). Infection probabilities and EpG/OpG were significantly higher in calves and heifers compared to lactating and dry cows. Moreover, we estimated significantly lower OpG values in summer compared to the other seasons. No differences were estimated for GIN and Eimeria spp. infection probabilities and EpG/OpG with regard to pasture access and breed. The variations in endoparasite infection intensity and probability observed along the rural-urban gradient of Bangalore reflect the variability in dairy husbandry systems governed by the social-ecological context
Metadata Versioning for Persistent Identifiers
No full textThis is the slide for the presentation of the paper named "Metadata Versioning for Persistent Identifiers". The presentation takes place in DH2025 conference in Lisbon, Portugal
SmartBelt-BeltMisalignment
No full textThis dataset was collected as part of an industrial research project aimed at improving the safety and separation efficiency of conveyor belt systems in barrier eddy current separators. It includes a comprehensive set of images and videos captured under various real-world industrial conditions—including high brightness, low-light scenarios, and strong machine-induced vibrations—while the conveyor belt was in motion.
1- Conveyor Misalignment Detection: Contains annotated images and videos used for detecting and correcting belt misalignment through machine vision. Data were recorded under dynamic industrial conditions to ensure robustness and reliability.
2- Thermal Fire Detection: Includes thermal camera images of the conveyor belt area above the magnetic drum. These images, analyzed for abnormal heat patterns, were used to develop a fire prevention system that detects the presence of ferromagnetic contaminants causing overheating.
3- Edge Detection: Contains both raw and labeled datasets of fine materials (e.g., aluminum, copper, plastic) moving on the conveyor belt. The data are used for detecting sharp-edged versus smooth particles via segmentation and classification models. The labeled dataset is annotated with segmentation masks, while the raw dataset includes original images from a line scan camera
Meta data for "The evolution of between-sex bonds in primates"
No full textMeta data for a conceptual paper on the evolution of close affiliative relationships between opposite-sex adults non-human primates. The paper has no empirical data
Dairy feed efficiency and urbanization – A system approach in the rural-urban interface of Bengaluru, India
No full textEfficient resource use is essential for sustainable dairy production. Urbanization, however, challenges resource availability and thus the feeding strategy of dairy producers living in urbanizing environments. As an emerging megacity, Bengaluru, in Southern India, combines rapid urbanization with a high demand for dairy products. To assess the impacts of urbanization on feeding strategy and resource use efficiency of dairy producers, measured as feed efficiency (milk production divided by feed offered), 28 dairy farms, from four dairy production systems (DPS) coexisting within Bengaluru’s rural-urban interface, were monitored at 6-week intervals during one year. Out of the four DPS, one was extensive and found along the whole rural-urban interface (ExtDPS), two were rural and semi-intensive (Semi-ADPS and Semi-BDPS) but differed in the genotypes of dairy cattle kept, and one was rural and intensive (IntDPS). Feed intake and quality, milk offtake and quality, were monitored at each visit. Nutritional requirements of productive dairy cattle were estimated on the basis of production data. Daily intake of dry matter was high in IntDPS, intermediate in Semi-ADPS and Semi-BDPS, and low in ExtDPS, in which dairy producers were mostly landless and did not cultivate forages but relied on market wastes and public grounds for grazing and forage collection. Feed intake in Semi-ADPS, Semi-BDPS and IntDPS resulted in mostly adequate supply or oversupply of metabolizable energy and crude protein, whereas the feeding strategy of ExtDPS lead to mostly adequately supplied to undersupplied cattle. Daily offtake of energy-corrected milk (ECM) was the lowest in one semi-intensive DPS (Semi-ADPS = 8.2 kg cow−1) but, despite a similar feeding strategy, highest in the other semi- intensive DPS (Semi-BDPS = 10.2 kg cow−1) and in IntDPS (10.9 kg cow−1; P < 0.05). Milk offtake corrected for body weight was affected by days-in-milk, daily feed intake, metabolic disorders and temperature-humidity index. Feed efficiency was highest in ExtDPS with 1.0 kg ECM kg−1 dry matter. Average feed efficiency per DPS ranged between 0.7 and 0.9 kg ECM kg−1 dry matter in the three other DPS, despite more intensive feeding strategies. By relying on easily available local resources and grazing, dairy producers in ExtDPS achieved the highest feed efficiency system-wise with minimum inputs in land and labor, while feed resources were wasted in more intensive DPS. Bengaluru’s case study indicates that within an urbanizing environment, dairy producers might choose distinctly different feeding strategies that lead to differences in intensification level and resource use efficiency
Mechanisms of coordination during foraging in cooperative and competitive interactions
No full textThis data contains behavioral data from and online study with the "Social Foraging Task", a sequential social decision-making paradigm with a foraging decision (patch selection), followed by one round of an economic matrix game (Hide and Seek, Stag Hunt or Independent). Data are modeled with the BELIEFS model for hierarchical Theory of Mind