cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.3886/e244124
title: School Of Nursing (S.O.N.), General Hospital, Ijebu-Ode 2026/2027 ADMISSION FORM Is Out Call 09032974622

description: School Of Nursing (S.O.N.), General Hospital, Ijebu-Ode 2026/2027 ADMISSION FORM Is Out Call 09032974622 09032974622, Also For Transcript Collection Call 09032974622 for more details... The Management of the school hereby informs the general public on the sales of the general Nursing Admission form into the School of Nursing/Midwifery. And also the sales of the two (2) years Post Basic Nursing Programme. Contact the school Admin — DR MRS GRACE on 09032974622 for more details on how to purchase the form and register online.
DOI: 10.5258/soton/wp00867
title: Modelled gridded population estimates for MaÃ¯-Ndombe Province in the Democratic Republic of Congo, version 4.4.

description: This data release consists of gridded population estimates for Maï-Ndombe Province in the Democratic Republic of Congo (DRC). It includes gridded population counts with model uncertainty measures and breakdowns in 40 age-sex groups at a spatial resolution of approximately 100m. The team used the Pre-Distribution Registration Survey (PDRS) data from the National Malaria Control Programme (PNLP) collected as part of anti-malarial campaigns in the DRC, settlement footprints, and geospatial covariates to model population counts at the grid cell level in a Bayesian hierarchical modelling framework. This accounts for multiple levels of variability within the data and allows to quantify model uncertainty. Although the proposed approach accounts for bias in the input population data, other sources of uncertainty are likely to remain. These population estimates are for 2024, aligning with the year of the PDRS survey data collection in Maï-Ndombe Province and the settlement footprint data.

The data were produced by the WorldPop Research Group at the University of Southampton as part of the GRID3 – Phase 2 Scaling project funded by the Gates Foundation (INV-044979). Project partners included GRID3 Inc., the Center for Integrated Earth System Information (CIESIN) within the Columbia Climate School at Columbia University, and WorldPop at the University of Southampton. Ortis Yankey designed and developed the statistical model. Gianluca Boo implemented the model and processed the data with support from Tom Abbott and Heather Chamberlain. Chris Nnanatu, Attila Lazar, and Andy Tatem provided project oversight. The PDRS data from the malaria insecticide-treated net (ITN) distribution campaigns were collected, processed, anonymised, and shared by the PNLP and its implementing partners. The settlement extent data was prepared and shared by CIESIN (2024). The data has been clipped to GRID3-CIESIN health area extent (version 8.0) (CIESIN, 2025).
DOI: 10.5281/zenodo.18244680
title: MAKTABGACHA TA'LIMDA BOLALARNI TABIAT BILAN TANISHTIRISH METODIKASI

description: Ushbu maqolada maktabgacha ta'lim muassasalarida bolalarni tabiat bilan tanishtirish metodikasining nazariy asoslari tahlil qilingan. Tadqiqot jarayonida mahalliy va xorijiy olimlarning ilmiy ishlarini qiyosiy tahlil qilish usuli qo'llanilgan. Natijalar shuni ko'rsatadiki, bolalarni tabiat bilan tanishtirish ularning bilish faoliyati, ekologik madaniyati va shaxsiy rivojlanishiga ijobiy ta'sir ko'rsatadi. Xulosa qilinganidek, tabiat bilan tanishtirish metodikasi kompleks yondashuvni talab qiladi va tarbiyachining kasbiy mahoratiga bog'liq.
DOI: 10.5281/zenodo.18244681
title: MAKTABGACHA TA'LIMDA BOLALARNI TABIAT BILAN TANISHTIRISH METODIKASI

description: Ushbu maqolada maktabgacha ta'lim muassasalarida bolalarni tabiat bilan tanishtirish metodikasining nazariy asoslari tahlil qilingan. Tadqiqot jarayonida mahalliy va xorijiy olimlarning ilmiy ishlarini qiyosiy tahlil qilish usuli qo'llanilgan. Natijalar shuni ko'rsatadiki, bolalarni tabiat bilan tanishtirish ularning bilish faoliyati, ekologik madaniyati va shaxsiy rivojlanishiga ijobiy ta'sir ko'rsatadi. Xulosa qilinganidek, tabiat bilan tanishtirish metodikasi kompleks yondashuvni talab qiladi va tarbiyachining kasbiy mahoratiga bog'liq.
DOI: 10.5281/zenodo.18243980
title: Daten der Notaufnahmesurveillance

description: Der Datensatz "Daten der Notaufnahmesurveillance" wird durch das Robert Koch-Institut und das AKTIN-Notaufnahmeregister bei Krankenhausaufnahmen bereitgestellt. Der Datensatz beinhaltet aggregierte Routinedaten aus deutschen Notaufnahmen zur syndromischen Überwachung von akuten Erkrankungen. Dazu zählen grippeähnliche Erkrankungen (ILI), Coronavirus-Erkrankungen (COVID-19), akute respiratorische Erkrankungen (ARE), gastrointestinale Infektionen (GI) und schwere akute respiratorische Infektionen (SARI). Dabei wird der relative Anteil dieser Erkrankungen an der Gesamtzahl der Notaufnahmevorstellungen sowie die berechneten Erwartungswerte und Prädiktionsintervalle ausgewiesen. Die Daten sind nach Notaufnahmetypen und Altersgruppen aggregiert. Damit bietet der Datensatz eine wertvolle Ressource für die Forschung im Bereich der Notfallmedizin und der Überwachung akuter Gesundheitsereignisse in Deutschland.
DOI: 10.5281/zenodo.18244698
title: Aspicarpa pulchella (Griseb.) O'Donell & Lourteig. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:42
DOI: 10.5281/zenodo.18244697
title: Aspicarpa pulchella (Griseb.) O'Donell & Lourteig. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:42
DOI: 10.5258/soton/wp00868
title: Modelled gridded population estimates for Maniema Province in the Democratic Republic of Congo version 4.4.

description: This data release provides gridded population estimates (spatial resolution of 3 arc-seconds, approximately 100-metre grid cells) for Maniema province in the Democratic Republic of Congo (DRC), along with estimates of the number of people belonging to various age-sex groups. The project team used the Pre-Distribution Registration Survey (PDRS) data from the National Malaria Control Programme (PNLP) collected as part of anti-malarial campaigns in the DRC for 2022, settlement extent and geospatial covariates to model and estimate population numbers at grid cell level using a Bayesian statistical hierarchical modelling framework. The approach facilitated simultaneous accounting for the multiple levels of variability within the data. It also allowed the quantification of uncertainties in parameter estimates. These model-based population estimates can be considered as most accurately representing the year 2022. This time period corresponds to the PDRS survey date for Maniema. Although the methods were robust enough to explicitly account for key random biases within the datasets, it is noted that systematic biases, which may arise from sources other than random errors within the observed data collection process, are most likely to remain.

These data were produced by the WorldPop Research Group at the University of Southampton. This work was part of the GRID3 – Phase 2 Scaling project, with funding from the Gates Foundation (INV-044979). Project partners included GRID3 Inc, the Center for Integrated Earth System Information (CIESIN) within the Columbia Climate School at Columbia University, and WorldPop at the University of Southampton. The final statistical modelling was designed, developed, and implemented by Chris Nnanatu. Data processing was done by Ortis Yankey and Amy Bonnie with additional support from Tom Abbott and Heather Chamberlain. Project oversight was done by Attila Lazar and Andy Tatem. The PDRS data from the malaria insecticide treated net (ITN) distribution campaigns was collected, processed, anonymised and shared by the PNLP and its implementing partners. The settlement extent data was prepared and shared by CIESIN (2024). The data has been clipped to GRID3-CIESIN health area extent (version 8.0) (CIESIN, 2025).
DOI: 10.5281/zenodo.18244711
title: Aspicarpa uruguariensis Nied. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:42
DOI: 10.5281/zenodo.18244712
title: Aspicarpa uruguariensis Nied. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:42
DOI: 10.3886/e244125
title: School Of Nursing (S.O.N.), General Hospital, Abeokuta 2026/2027 ADMISSION FORM Is Out Call 09032974622

description: School Of Nursing (S.O.N.), General Hospital, Abeokuta 2026/2027 ADMISSION FORM Is Out Call 09032974622 09032974622, Also For Transcript Collection Call 09032974622 for more details... The Management of the school hereby informs the general public on the sales of the general Nursing Admission form into the School of Nursing/Midwifery. And also the sales of the two (2) years Post Basic Nursing Programme. Contact the school Admin — DR MRS GRACE on 09032974622 for more details on how to purchase the form and register online.
DOI: 10.5518/1731
title: Supplementary Material - Hydrodynamic Interactions Between Pairs of Sedimenting Semi-Flexible Brownian Fibres

description: The results for a pair of sedimenting semiflexible fibres with initially both horizontal and vertical configurations have been reported here. These include the rho-value, cos2 (tetha), the nondimensional interaction velocity and rate of rotation, sedimentation velocity, eigenvalues of gyration matrix. In addtion to that, the results of the Phi changes and the ratio of maximum deflection (A) to the length of the fibre (l) for a single sedimenting fibre has been put in the dataset.
DOI: 10.24417/bmdc.be:dataset:3060
title: Seasonal physiological and carbon‑related measurements of suspension feeders (Mytilus edulis and Balanus crenatus) from laboratory experiments in the Belgian marine environment

description: This dataset contains seasonal physiological measurements from controlled laboratory experiments on two dominant suspension-feeding species expected to colonise floating offshore structures: the blue mussel (Mytilus edulis; AphiaID 140480) and the wrinkled barnacle (Balanus crenatus; AphiaID106215). The measured parameters include clearance rates, respiration rates, faecal pellet production rates, and faecal pellet sinking velocities. Mussels were collected from an aquaculture longline at the Westdiep SeaFarm, while barnacles were manually retrieved from the intertidal beachhead at Raversijde (Oostende, Belgium). All experiments were conducted using natural seawater collected from offshore sites in the Belgian part of the North Sea. Measurements were repeated across multiple seasons to capture temporal variability in physiological performance. The dataset was produced within the SWiM and EcoMPV projects and is suitable for reuse in ecosystem and biogeochemical modelling, including simulations of phytoplankton dynamics associated with large-scale offshore marine photovoltaic (MPV) developments.
DOI: 10.5281/zenodo.18244717
title: Aspidosperma Mart. & Zucc. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:42
DOI: 10.5281/zenodo.18244718
title: Aspidosperma Mart. & Zucc. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:42
DOI: 10.5281/zenodo.18244704
title: IMPROVING THE METHODOLOGY OF TEACHING THE BIRDS CLASS WITH THE HELP OF DIGITAL EDUCATIONAL TECHNOLOGIES

description: This article analyzes the pedagogical effectiveness of using digital educational technologies in teaching the birds class in biology in secondary schools. In the course of the research, lessons based on 3D models, animated videos and interactive tasks were organized to teach the morphological characteristics of birds. The results of the experimental tests showed that classes conducted using digital tools increase students' knowledge, biological literacy and interest in the lesson. The results obtained confirm the importance of using digital technologies in improving the methodology of teaching the class of birds.
DOI: 10.5281/zenodo.18244703
title: IMPROVING THE METHODOLOGY OF TEACHING THE BIRDS CLASS WITH THE HELP OF DIGITAL EDUCATIONAL TECHNOLOGIES

description: This article analyzes the pedagogical effectiveness of using digital educational technologies in teaching the birds class in biology in secondary schools. In the course of the research, lessons based on 3D models, animated videos and interactive tasks were organized to teach the morphological characteristics of birds. The results of the experimental tests showed that classes conducted using digital tools increase students' knowledge, biological literacy and interest in the lesson. The results obtained confirm the importance of using digital technologies in improving the methodology of teaching the class of birds.
DOI: 10.5258/soton/wp00869
title: Modelled gridded population estimates for Mongala Province in the Democratic Republic of Congo version 4.4.

description: This data release provides gridded population estimates (spatial resolution of 3 arc-seconds, approximately 100-metre grid cells) for Mongala province in the Democratic Republic of Congo (DRC), along with estimates of the number of people belonging to various age-sex groups. The project team used the Pre-Distribution Registration Survey (PDRS) data from the National Malaria Control Programme (PNLP) collected as part of anti-malarial campaigns in the DRC for 2023, settlement extent and geospatial covariates to model and estimate population numbers at grid cell level using a Bayesian statistical hierarchical modelling framework. The approach facilitated simultaneous accounting for the multiple levels of variability within the data. It also allowed the quantification of uncertainties in parameter estimates. These model-based population estimates can be considered as most accurately representing the year 2023. This time period corresponds to the PDRS survey date for Mongala. Although the methods were robust enough to explicitly account for key random biases within the datasets, it is noted that systematic biases, which may arise from sources other than random errors within the observed data collection process, are most likely to remain.

These data were produced by the WorldPop Research Group at the University of Southampton. This work was part of the GRID3 – Phase 2 Scaling project, with funding from the Gates Foundation (INV-044979). Project partners included GRID3 Inc, the Center for Integrated Earth System Information (CIESIN) within the Columbia Climate School at Columbia University, and WorldPop at the University of Southampton. The final statistical modelling was designed, developed, and implemented by Krishnaveni KS with support from Ortis Yankey. Data processing was done by Krishnaveni KS and Tom Abbott with additional support from Heather Chamberlain. Project oversight was done by Attila Lazar, Chris Nnanatu and Andy Tatem. The PDRS data from the malaria insecticide treated net (ITN) distribution campaigns was collected, processed, anonymised and shared by the PNLP and its implementing partners. The settlement extent data was prepared and shared by CIESIN (2024). The data has been clipped to GRID3-CIESIN health area extent (version 8.0) (CIESIN, 2025).
DOI: 10.5281/zenodo.18244524
title: Data for "Simplified scheme for continuous-variable entanglement distillation: multicopy distillation of Gaussian entanglement without heralding Gaussian measurements"

description: This dataset contains data that were used to create graphs in the article J. Fiurášek, Simplified scheme for continuous-variable entanglement distillation: multicopy distillation of Gaussian entanglement without heralding Gaussian measurements, Quantum Sci. Technol.  (2026). The data are stored as ordinary text files. The variables stored in each column of each data file are specified in the PDF file Data_specification.pdf.
DOI: 10.5281/zenodo.18244523
title: Data for "Simplified scheme for continuous-variable entanglement distillation: multicopy distillation of Gaussian entanglement without heralding Gaussian measurements"

description: This dataset contains data that were used to create graphs in the article J. Fiurášek, Simplified scheme for continuous-variable entanglement distillation: multicopy distillation of Gaussian entanglement without heralding Gaussian measurements, Quantum Sci. Technol.  (2026). The data are stored as ordinary text files. The variables stored in each column of each data file are specified in the PDF file Data_specification.pdf.
DOI: 10.4121/315b0a5c-5472-4bd5-bed5-2f53d3f29bee
title: Data underlying the PhD thesis: Modeling and TCOs Engineering for Thin Film Photovoltaic Technologies

description: The dataset contains two main data collections related to experimental characterization and optical modeling of thin film photovoltaic materials and devices.<br>The first collection comprises experimental data obtained from the characterization of transparent conductive oxide (TCO) materials. Both electrical and optical properties were investigated. Electrical characterization includes measurements of charge carrier concentration, N (cm−3), and charge carrier mobility, μ(cm2/Vs). Optical characterization of single-layer TCO films was performed using spectroscopic ellipsometry, providing the wavelength-dependent refractive index, n(λ), extinction coefficient, k (dimensionless), and absorption coefficient, α(λ)(cm−1). For bilayer TCO structures, optical absorptance, A, was evaluated in both the as-deposited condition and after post-deposition annealing treatments, enabling assessment of the impact of thermal processing on the optical response.<br>The second collection contains data and code related to the optical modeling of thin film solar cells. Optical simulations were carried out in the MATLAB environment using the in-house developed software GenPro4. The dataset includes model input files, simulation outputs, wavelength-dependent optical constants n(λ) and k(λ), and interface morphologies used as input data in the optical models. The morphologies provided include Asahi glass, honeycomb (HC) textures, and two factory baseline textures (Factory_Baseline, FLAM01). The latter two morphologies were obtained within a collaboration with our industrial partner (former HyET Solar, current LiFTPV). In addition, the GenPro4 framework was extended to include Maxwell solvers based on rigorous coupled wave analysis (RCWA). The developed RCWA code used for modeling coherent light interaction with multiscale textures is included in the dataset.<br>The dataset supports the results presented in the associated PhD dissertation and provides documented experimental and modeling data to ensure transparency and reproducibility. The data may be reused for comparative studies of TCO materials, light-management strategies in thin film solar cells, and the development of modeling approaches for emerging photovoltaic technologies.
DOI: 10.4121/315b0a5c-5472-4bd5-bed5-2f53d3f29bee.v1
title: Data underlying the PhD thesis: Modeling and TCOs Engineering for Thin Film Photovoltaic Technologies

description: The dataset contains two main data collections related to experimental characterization and optical modeling of thin film photovoltaic materials and devices.<br>The first collection comprises experimental data obtained from the characterization of transparent conductive oxide (TCO) materials. Both electrical and optical properties were investigated. Electrical characterization includes measurements of charge carrier concentration, N (cm−3), and charge carrier mobility, μ(cm2/Vs). Optical characterization of single-layer TCO films was performed using spectroscopic ellipsometry, providing the wavelength-dependent refractive index, n(λ), extinction coefficient, k (dimensionless), and absorption coefficient, α(λ)(cm−1). For bilayer TCO structures, optical absorptance, A, was evaluated in both the as-deposited condition and after post-deposition annealing treatments, enabling assessment of the impact of thermal processing on the optical response.<br>The second collection contains data and code related to the optical modeling of thin film solar cells. Optical simulations were carried out in the MATLAB environment using the in-house developed software GenPro4. The dataset includes model input files, simulation outputs, wavelength-dependent optical constants n(λ) and k(λ), and interface morphologies used as input data in the optical models. The morphologies provided include Asahi glass, honeycomb (HC) textures, and two factory baseline textures (Factory_Baseline, FLAM01). The latter two morphologies were obtained within a collaboration with our industrial partner (former HyET Solar, current LiFTPV). In addition, the GenPro4 framework was extended to include Maxwell solvers based on rigorous coupled wave analysis (RCWA). The developed RCWA code used for modeling coherent light interaction with multiscale textures is included in the dataset.<br>The dataset supports the results presented in the associated PhD dissertation and provides documented experimental and modeling data to ensure transparency and reproducibility. The data may be reused for comparative studies of TCO materials, light-management strategies in thin film solar cells, and the development of modeling approaches for emerging photovoltaic technologies.
DOI: 10.25502/cayg-ys40/d
title: Quantification of Food Systems Greenhouse Gas Emissions and Mitigation Potential in Kenya: A Bottom-Up Approach
DOI: 10.5281/zenodo.18244719
title: Aspidosperma quebracho-blanco Schltdl. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:42
DOI: 10.5281/zenodo.18244720
title: Aspidosperma quebracho-blanco Schltdl. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:42
DOI: 10.5281/zenodo.18244737
title: Aspilia Thouars. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:42
DOI: 10.5281/zenodo.18244738
title: Aspilia Thouars. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:42