These three raster layers had been derived from the French national airborne DTM at 5 m spatial quality plus the vector level associated with station community of this ZK62711 nationwide hydrological database. This unprecedented fine-scale dataset starts brand-new ideas for geomorphological analysis. You can use it for several reasons, such as for instance ecological modeling, threat assessment, or water-resource management.The recovery and strength associated with the cultural and creative sectors following the COVID-19 pandemic is an ongoing topic with concern for the European Commission. Cultural gems is a crowdsourced internet system managed by the Joint analysis Centre associated with the European Commission targeted at producing community-led maps also a typical repository for cultural and creative locations across European locations and towns. More than 130,000 physical areas and internet based social activities much more than 300 European urban centers and cities are tracked by the application. The main objective of Cultural gems is made up in raising a holistic sight of European tradition, reinforcing a feeling of owned by a common European social area. This data article describes the ontology developed for Cultural gems, adopted to portray the domain of real information associated with application in the shape of FAIR (Findable, Accessible, Interoperable, Reusable) maxims and after the paradigms of Linked Open Data (LOD). We offer a synopsis for this dataset, and describe the ontology design, along with the services familiar with access and consume the data.Most for the movie content on the Internet today is distributed through on the web streaming platforms. Assuring individual privacy, data transmissions in many cases are encrypted making use of cryptographic protocols. In previous analysis, we very first experimentally validated the concept that the total amount of transmitted information belonging to a certain movie stream is certainly not continual with time or it changes occasionally and types a specific fingerprint. Based on the knowledge of the fingerprint of a certain movie stream, this video stream are consequently identified. Over almost a year of intensive work, our team has generated a sizable dataset containing a large number of video clip channels which were grabbed by community traffic probes during their playback by end users. The movie streams were deliberately selected to fall thematically into pre-selected categories. We picked two primary platforms for online streaming – PeerTube and YouTube The first platform ended up being opted for because of the chance for changing any streaming variables, as the second one ended up being chosen since it is used by lots of people global. Our dataset can be used to develop and train Human Tissue Products machine learning designs or heuristic algorithms, allowing encrypted video stream recognition based on their material resp. kind group or particularly.The COVID-19 pandemic had been a considerable stressor, especially for pregnant people. We aimed to understand the impact of COVID-19-related stresses on expecting individuals and their particular infants and collected survey-based information across Canada as part of the Pregnancy through the COVID-19 Pandemic (PdP) task. The dataset described right here provides baseline prenatal information and basic birth outcomes from PdP participants. This data includes information from pregnant individuals as well as their infants. At enrolment and time of conclusion of the standard survey, participants had been poorly absorbed antibiotics pregnant, ≥17 years, ≤35 days of gestation, residing Canada, and able to review and write in English or French. Baseline data had been gathered between April 2020-April 2021. Toddler data had been gathered between May 2020-December 2021. All information were gathered via self-report using web surveys in REDCAP. Surveys were obtainable in both English and French. Data were examined for completeness and plausibility, and duplicates were rf changes during the COVID-19 pandemic.Concentration of particulate matter directly affects air quality and individual wellness. Three sourced elements of information were utilized in this strive to produce datasets about this matter at the Fontibón county in Bogota D.C., Colombia. Initial origin ended up being a Davis AirLinkⓇ low-cost sensor air high quality readings for PM2.5, PM10 and meteorological variables. The sensor was put in within the referred area, collecting quality of air readings for PM2.5, PM10, in addition to heat, general humidity, dew-point, wet-bulb, and heat index as meteorological variables through the months of May to August 2022. The second origin was collecting by direct measurement the PM10 particles using a TischⓇ Hi- Vol gear, examined the focus of particulate matter PM10 in the exact same place for 27 days. Finally, raw data had been supplied by the Bogotá’s Environmental District Bureau (SDA), validating in this work the info readings when it comes to years 2021 and 2022 from the two meteorological stations found in the exact same county, named “Fontibón” and “Móvil Fontibón”, including quality of air data for PM2.5, PM10, Carbon Monoxide (CO), Ozone, Nitrogen Dioxide (NO2), Sulfur Dioxide (SO2) plus the meteorological variables wind speed, wind way, heat, precipitation, general humidity (RH) and Barometric force.