cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.28439699
title: LandScan Global, 30 Arc-second Annual Global Gridded Population Datasets from 2000 to 2022

description: Using an innovative approach that combines geospatial science, remote sensing technology, and machine learning algorithms, LandScan Global is a global population distribution data, at 30 arc seconds (roughly 1km at equator), representing an ambient (24 hour average) population. The LandScan Global algorithm, an R&D 100 Award Winner, uses spatial data, high-resolution imagery exploitation, and a multi-variable dasymetric modeling approach to disaggregate census counts within an administrative boundary. Since no single population distribution model can account for the differences in spatial data availability, quality, scale, and accuracy as well as the differences in cultural settlement practices, LandScan population distribution models are tailored to match the data conditions and geographical nature of each individual country and region. By modeling an ambient population, LandScan Global captures the full potential activity space of people throughout the course of the day and night rather than just a residential location.
DOI: 10.6084/m9.figshare.28623914
title: Supplementary Material for: Slowly Progressive Type 1 Diabetes Following Steroid-Sensitive Relapsing Nephrotic Syndrome in Childhood: A Case Report

description: In rare cases, idiopathic nephrotic syndrome (NS) and type 1 diabetes (T1D) coexist, with diabetes typically preceding NS or presenting almost simultaneously with an acute onset requiring immediate insulin therapy. We report a unique case of a 5.1-year-old male who developed idiopathic NS and experienced glycosuria during steroid treatments for relapses, initially attributed to steroid-induced hyperglycemia. At age 10.2, he developed persistent glycosuria without steroid administration, and an oral glucose tolerance test confirmed diabetes. Despite positive anti-insulinoma-associated protein-2 antibodies, the patient maintained non-insulin-dependent glycemic control until, 13 months later, rapid-onset hyperglycemia necessitated insulin therapy, leading to a diagnosis of slowly progressive type 1 diabetes (SPT1D). This case represents the first reported instance of steroid-sensitive relapsing NS followed by SPT1D in childhood.
DOI: 10.6084/m9.figshare.28647377
title: Supplementary Material for: Effects of two different basic skin care regimens on children and adult skin microbiota: an exploratory randomized controlled crossover trial

description: Regular use of leave-on skin care products has positive effects on the skin barrier and appears to influence the skin microbiome in atopic dermatitis (AD). However, product-related effects on the skin microbiome are unclear. The aim of this study was to investigate to which extent the application of an emollient plus product differs from a petrolatum-based basic skin care product in terms of skin physiology, skin barrier and skin microbiome.
In an exploratory study regime fifty subjects (children and adults) with mild AD were randomized to receive Bepanthen SensiDaily® (BSD) and Basiscreme DAC (DAC) for three months in a cross-over design. Skin physiological measurements and skin microbiome swabs were taken on the forearm and lower leg before and after each 3-month application period of the respective product. 
Improvement of skin physiological parameters after 3 months was observed in both topical leave on product groups. Statistically significant differences were observed in baseline microbiomes between children and adults (p&lt;0.001) but not between the product groups.
Regular application of leave-on products leads to better stratum corneum hydration after 3 months with better effects of BSD on the forearms of children and the lower legs of adults compared to DAC. The application of BSD and DAC did not lead to significant alterations in the overall composition of the skin microbiome. Although there were shifts in the frequency of certain microbial genera, these changes were not consistent between age groups and treatments.
DOI: 10.6084/m9.figshare.28647806
title: Supplementary Material for: SKIN-PEDIC – a worldwide assessment of skin problems in children and adolescents using diabetes devices

description: Introduction: Children and adolescents with diabetes are increasingly using technological devices to maintain normoglycemia. However, skin problems associated with these devices are becoming a significant issue. This study aimed to investigate prevalence of skin issues in children and adoles-cents with diabetes globally and identify important factors associated with these skin problems. 
Methods: This multinational study involved 22 pediatric diabetes centers. Over a 4-week period, pseud anonymized data were collected on children and adolescents using diabetes devices, includ-ing demographic factors, visual skin problems, type of devices and products being used. Uni-variate logistic regression was applied to identify associations with skin problems. 
Results: A total of 1719 children and adolescents were included. Skin problems were present in 52% of pump users compared to 30% of sensor users. Eczema was found in 9% of participants at both insulin pump and glucose sensor sites, whereas scars, wounds and lipodystrophies were significant-ly more frequent at insulin pump sites than at glucose sensor sites. Skin characteristicsBoth xerosis cutis and keratosis pilaris were strongly associated with almost all types of skin problems, increasing the risk two to fivefold. 
Conclusion: Skin problems are a serious concern that limits the use of diabetes devices in children and adolescents, consequently increasing risk for long-term complications. This study highlights the extent of the problem in a real-world setting of unselected participants despite the use of preven-tive strategies. Consequently, the development of more skin-friendly devices is needed to ensure that all children and adolescents with diabetes can effectively use these devices in the long term.
DOI: 10.6084/m9.figshare.28647809
title: Supplementary Material for: Exploratory Analysis of Sleep Deprivation Effects on Gene Expression and Regional Brain Metabolism

description: Sleep deprivation affects cognitive performance and immune function, yet its mechanisms and biomarkers remain unclear. This study explored the relationships among gene expression, brain metabolism, sleep deprivation, and sex differences.

Methods
Fluorodeoxyglucose-18 positron emission tomography (18F-FDG PET) measured brain metabolism in regions of interest (ROIs), and RNA analysis of blood samples assessed gene expression pre- and post-sleep deprivation. Mixed model regression and principal component analysis (PCA) identified significant genes and regional metabolic changes.

Results
There were 23 and 28 differentially expressed probesets for the main effects of sex and sleep deprivation, respectively, and 55 probesets for their interaction (FDR-corrected p&lt;0.05). Functional analysis revealed enrichment in nucleoplasm- and UBL conjugation-related genes. 
Genes with significant sex effects mapped to chromosomes Y and 19
(Benjamini-Hochberg (BH) FDR p&lt;0.05), with 11 genes (4%) and 29 genes (10.5%) involved, respectively. Differential gene expression highlighted sex-based differences in innate and adaptive immunity.

For brain metabolism, sleep deprivation resulted in significant decreases in the left insula, left medial prefrontal cortex (BA32), left somatosensory cortex (BA1/2), and left motor premotor cortex (BA6) and increases in the right inferior longitudinal fasciculus, right primary visual cortex (BA17), right amygdala, left cerebellum, and bilateral pons.

Conclusion
Sleep deprivation broadly impacts brain metabolism, gene expression, and immune function, revealing cellular stress responses and hemispheric vulnerability. These findings enhance our understanding of the molecular and functional effects of sleep deprivation.
DOI: 10.1285/i20356609v15i3p530
title: The Scientific Controversy on Covid-19 and the Image of Science as an Expert System: Comparing the Debate in Italy and UK

description: The theoretical context of this article refers to the relations between expert systems and public opinion, according to an approach that describes how scientists' knowledge is questioned during serious globalized crises, such as epidemics and pandemics. In this regard, a typology of Italian and UK Twitter profiles was proposed in order to define the role of scientists in the debate around Covid-19, and to answer to what appear to be relevant research questions: What are the main scientific issues of the controversy? How is shaped the multifaceted pro-vax front? What image of science as an expert system emerges in the debate on Covid-19? To do that, a web-ethnography was performed, based on the analysis of some Italian/UK Twitter profiles of scientists, analysing a selection of interactions generated around them. The main research results are presented with reference to 'pro-vax' emerging profiles (a less studied context than the 'anti-vax' front), trying to illustrate the complexity of the dispute and the adequacy of discourse about science. In the end, the authors suggest that the idea of science as a 'truth' that people should simply trust - overly simplistic in the past - is not entirely plausible in today's public debate in social networks.
DOI: 10.1285/i22840753n17p7
title: Communication is maintenance: turning the agenda of media and communication studies upside down

description: This paper proposes that communication and media studies should refocus on maintenance. Indeed, maintenance theory can help underestimated aspects of communication infrastructures emerge. First, maintenance shows the similarity of communication and transportation infrastructures, which overlap to the extent that the two fields of study can no longer be separated. Second, maintenance shows the persistence of communication infrastructures over time. Infrastructures are seldom replaced, and even more rarely closed down, new communication networks do not replace old ones, but they overlap with them. Consequently, this focus makes clear the need to study communication in longue durée or at least in long-term perspectives. Thirdly, the decision to maintain a communication network or infrastructure is a political one. Communication studies have often focused on political decisions on innovation, while maintenance offers a new way to look at centralization, delegation, sabotage to infrastructures, and the political responsibilities of making communications function. Finally, thanks to maintenance, the material dimension of communication can be more visible. This allows the integration of the new agendas of STS and of media archaeology, with the emergence of topics such as malfunctions or technical jobs, which are often considered out of the scope of communication studies
DOI: 10.13026/7vcr-e114
title: MIMIC-IV

description: Retrospectively collected medical data has the opportunity to improve patient
care through knowledge discovery and algorithm development. Broad reuse of
medical data is desirable for the greatest public good, but data sharing must
be done in a manner which protects patient privacy. The Medical Information
Mart for Intensive Care (MIMIC)-III database provided critical care data for
over 40,000 patients admitted to intensive care units at the Beth Israel
Deaconess Medical Center (BIDMC). Importantly, MIMIC-III was deidentified, and
patient identifiers were removed according to the Health Insurance Portability
and Accountability Act (HIPAA) Safe Harbor provision. MIMIC-III has been
integral in driving large amounts of research in clinical informatics,
epidemiology, and machine learning. Here we present MIMIC-IV, an update to
MIMIC-III, which incorporates contemporary data and improves on numerous
aspects of MIMIC-III. MIMIC-IV adopts a modular approach to data organization,
highlighting data provenance and facilitating both individual and combined use
of disparate data sources. MIMIC-IV is intended to carry on the success of
MIMIC-III and support a broad set of applications within healthcare.
DOI: 10.15468/dl.bb5edh
title: Occurrence Download

description: A dataset containing 604 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Country is South Africa",
 "Geometry POLYGON((18.34423 -34.45381,18.88649 -34.45381,18.88649 -34.03526,18.34423 -34.03526,18.34423 -34.45381))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Arctocephalus pusillus pusillus",
 "Year 2000-2023"
 ]
}

 The dataset includes 604 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001125-230918134249559/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15783/c71s31
title: CRAWDAD dataset mit/reality (v. 2005-07-01)

description: The authors have captured communication, proximity, location, and activity information from 100 subjects at MIT over the course of the 2004-2005 academic year.  This data represents over 350,000 hours (~40 years) of continuous data on human behavior.  Such rich data on complex social systems have implications for a variety of fields.
description: Changelog: the initial version
DOI: 10.17909/rzv6-r679
title: TESS Light Curves: Sector 63

description: All light curve files for (2-minute cadence) observations from Sector 63.
DOI: 10.17909/x4v7-xd29
title: TESS Light Curves: Sector 36

description: All light curve files for (2-minute cadence) observations from Sector 36.
DOI: 10.24432/c51s51
title: APS Failure at Scania Trucks
DOI: 10.24432/c5qg88
title: South German Credit
DOI: 10.25326/16
title: Daily IASI/Metop-A ULB-LATMOS carbon monoxide (CO) L2 product (total column)

description: The daily IASI/Metop-A carbon monoxide (CO) dataset is processed using the Fast Optimal Retrievals on Layers for IASI (FORLI) software [(Hurtmans et al., 2012)](https://doi.org/10.1016/j.jqsrt.2012.02.036). The IASI CO retrievals are performed in the 2143-2181.25 cm<sup>-1</sup> spectral range using the optimal estimation method and tabulated absorption cross sections at various pressures and temperatures to speed up the radiative transfer calculation. A single a priori is used in the retrieval scheme. The temperature, pressure, humidity profiles and cloud fractions used in FORLI are those from the EUMETSAT Level 2 processor. Only pixels associated with cloud fraction below 25 % are processed. The FORLI-CO product is a vertical profile given as partial columns in molecules per square centimeter in 18 layers between the surface and 18 km, with an extra layer from 18 km to the top of the atmosphere. This IASI CO dataset, including CO total columns, are provided on the global scale from October 2007 till present. It also includes other relevant information such as quality flags, the a priori profile, the total error profile and the averaging kernel (AK) matrix, on the same vertical grid. The CO vertical profiles will be made available soon in a different updated dataset.

Versions of FORLI used for the processing of this dataset:
 - FORLI v20100825: 1rst October 2007 – 29 September 2014
 - FORLI v20140922: from 30 September 2014 till present

The FORLI software has also been set-up to retrieve ozone (O<sub>3</sub>) vertical profiles. The daily IASI/Metop-A O<sub>3</sub> dataset is also available on the AERIS website [O3_IASI_A](https://en.aeris-data.fr/metadata/?09f3843e-eec0-42b0-8c87-30c91f4b3e4a). 

Disclaimer: The Eumetsat IASI PPF L2 data processing chain has been updated several times since IASI launch, which can induce discontinuities in the retrieved CO time-series.
DOI: 10.25522/manifesto.mpds.2019b
title: Manifesto Project Dataset

description: The Manifesto Project Dataset provides the scientific community with parties’ policy positions derived from a content analysis of parties’ electoral manifestos. It covers over 1.000 parties from 1945 until today in over 50 countries on five continents.
 The content analysis aims to discover party and presidential stances by quantifying their statements and messages to their electorate. A unified classification scheme with an accompanying set of rules was developed to make such statements comparable. Analysing manifestos allows for measurement of party and presidents’ policy positions across countries and elections within a common framework. Manifestos are understood to be parties’ only and presidential candidates’ main authoritative policy statements and, therefore, as indicators of the parties’ policy preferences at a given point in time.
 The Manifesto Project Data Collection was originally created by the Manifesto Research Group (MRG) in the late 1970s and the 1980s. The work was continued under the name Comparative Manifestos Project (CMP) at the WZB Berlin Social Science Center in the 1990s and 2000s. Since 2009 the Manifesto Research on Political Representation (MARPOR) project updates and extends the dataset. It is funded by the German Research Foundation (DFG) and is still located at the WZB Berlin Social Science Center.
description: Content coding
DOI: 10.34740/kaggle/dsv/1693952
title: SKAB - Skoltech Anomaly Benchmark
DOI: 10.48670/moi-00024
title: Global Ocean Ensemble Physics Reanalysis
DOI: 10.5067/caliop/calipso/cal_lid_l2_05kmapro-standard-v4-51
title: CALIPSO Lidar Level 2 Aerosol Profile, V4-51
DOI: 10.5258/soton/378362
title: Sensor Configuration Dataset.
DOI: 10.5281/zenodo.11243691
title: Design of NFF antenna by multi-objective algorithm

description: 提出了一种多目标方法来优化反射超表面阵列的相位分布
DOI: 10.5281/zenodo.12638010
title: Europe-wide public preferences for plankton-based ecosystem services and marine biodiversity from a series of Deliberative Monetary Valuation workshops

description: The data were collected as part of the Horizon Europe project BIOcean5D – Marine Biodiversity Assessment and Prediction Across Spatial, Temporal and Human Scales. The aim of the study was to elicit public preferences for marine biodiversity and ecosystem services, with a particular focus on plankton. This dataset comprises responses from a series of Deliberative Monetary Valuation workshops held across Europe, along with the corresponding supplementary material. The responses encompass a range of data, including socio-demographic information, personal characteristics, beliefs, prior knowledge, preferences derived from a Discrete Choice Experiment, and the associated motivations of each respondent. In total, 15 workshops were conducted between October 2023 and February 2024 in the following locations: Poland (Poznan and Sopot), Italy (Padova and Chioggia), the Basque Country (Vitoria-Gasteiz and Bilbao), Germany (Bremerhaven and Hannover), and France (Rennes and Brest).
DOI: 10.5281/zenodo.13682870
title: Drone onboard multi-modal sensor dataset for complex outdoor scenarios

description: The Data acquisition missions were designed and executed using DJI Pilot 2’s flight route planning feature. The missions encompassed five distinct geometric patterns: 1. triangular, 2. circular, 3. rectangular, 4. linear, and 5. multi-dimensional. Each mission was configured as a waypoint flight path, allowing precise customization of parameters such as altitude, speed, and turning angle for each waypoint. The dataset consists of 3D space flight data such as take-off, landing and varying altitude to introduce the z-axis changes. It must be noted that data was logged at a frequency of 10 Hz.

To ensure consistency within the data, identical parameters were maintained across all data acquisition missions. The dataset comprises 20 distinct flights, with each flight path repeated multiple times, resulting in approximately 30 minutes of flight time per mission. The dataset is structured as time-series data, with each flight uniquely identified by a flight number and corresponding timestamp. The drone's spatial position is represented by the variables position_x, position_y, position_z  while its orientation is captured by the variables orientation_x, orientation_y, orientation_z, orientation_w.  Additionally, the drone's velocity and angular velocity are represented by the variables velocity_x, velocity_y, velocity_z, angular_x, angular_y, angular_z respectively. The linear acceleration is described by the variables linear_acceleration_x, linear_acceleration_y, linear_acceleration_z. The dataset also includes environmental data such as wind_speed, wind_angle using the TriSonica Mini Wind and Weather Sensor as well as information regarding the drone's battery status, including battery_voltage, battery_current.

Data Acquisition Paths: Data acquisition paths

The dataset includes labels for various operational states of the drone, such as IDLE_HOVER, ASCEND, TURN, HMSL and DESCEND. These labels can be utilized to classify the drone's current activity. Moreover, the annotated dataset can be applied in multi-task learning to predict the drone's trajectory.

The DJI Matrice 300 RTK is utilized as the primary platform for data acquisition, leveraging its compatibility with onboard development kits to facilitate the extraction of data from its integrated sensors and flight controller. To execute the developed software the NVIDIA Jetson Xavier NX serves as the embedded computing device. Utilizing the  Onboard software development kit the Jetson Xavier NX enables real-time access and processing of data from the drone's sensors and flight controller.
DOI: 10.5281/zenodo.13972210
title: SHEERM: Sustainable Household Energy and Environment Resources Management dataset

description: This dataset represents a novel and extensive dataset featuring comprehensive cross-sectional data of household electrical load, energy cost, and on-premises solar energy production, directly linked to solar radiation and weather parameters. The SHEERM dataset is essential for understanding and optimizing energy utilization to achieve Sustainable Development Goals (SGD) 7, 9, 11 and 13. It provides data about solar energy production, weather conditions, residential energy needs, and market prices. The combination of these variables facilitates multifaceted analysis, fostering advancements in renewable energy forecasting, climate-sensitive environments, grid management, and energy policy formulation.Together with the SHEERM dataset, there is a paper that details the data collection process, including the sources and methodologies employed. Adhering to established literature, we developed and implemented machine learning models that comprehensively validate the data. Furthermore, as usage notes, we offer additional results by applying various machine-learning approaches to the provided data.The SHEERM dataset aims to help design new energy systems that enhance sustainable energy strategies and demonstrate their potential to accelerate the transition towards renewable energy and carbon neutrality.
DOI: 10.5281/zenodo.14724401
title: Convective cloud trajectories from 3D radar reflectivities

description: This repository accompanies the article "A ML-based perspective on deep convective clouds and their organisation in 3D. Part I: Influence of deep convective cores on the cloud life-cycle" by Sarah Brüning and Holger Tost, which is to be submitted to ACP.

The datasets here are used to create the plots from the study. They contain the contiguous trajectories of convective clouds based on ML-based 3D radar reflectivities. The data cover March - August 2019 for a region over tropical West Africa (30° N - 30° S, 30° E -  30° W). Within the folder, the two files contain the trajectories aggregated by the cloud ID (agg) and all unique observations of the trajectories. The data is derived using code from https://doi.org/10.5281/zenodo.14699719.
DOI: 10.5281/zenodo.15003103
title: Spatiotemporal chaos and extended self-similarity of Bose-Einstein condensates in a one-dimensional harmonic trap