cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/6c2ywtsbwb.1
title: NAC Complaints_Sadovnikova_Supplemental Table 3

description: Supplemental Table 3 for "Nipple thrush or dermatitis: a retrospective cohort study of nipple-areolar complex conditions and call for coordinated, multidisciplinary care"


Treatment of NAC complaints other than nipple pain, dermatitis, fungal infection. Abbreviations: lactating (L), not lactating (NL).
DOI: 10.17632/2g2srd849f.1
title: Isotope fractionation of alkaline and alkaline-earth elements (Li, K, Rb, Mg, Ca, Sr, Ba) during diffusion in aqueous solutions

description: Supplementary material for Manuscript entitled: "Isotope fractionation of alkaline and alkaline-earth elements (Li, K, Rb, Mg, Ca, Sr, Ba) during diffusion in aqueous solutions"

The Supplementary Materials contains:
(1) Supplementary material S1, which is a full mathematical proof of the key experimental concept of this study, 
(2) Table S2, which tabulates the detailed instrumental setting for analyses of Li, K, Rb, Mg, Ca, Sr, Ba isotopes using Nu 1700 Sapphire MC-ICP-MS, and 
(3) Tables S3-1 to S3-7, which are the detailed elemental and isotopic data table of all diffusion experiments reported in this study.
DOI: 10.17632/xd4njjngpn.1
title: Ligand-Target Interaction Diagrammes: Baicalein Analogues as SARS-CoV-2 Main Protease (Mpro) Inhibitors

description: Ligand-Target Interaction Diagrammes generated based on the Glide HTVS/SP/XP Molecular Docking-based Virtual Screening Hits of Baicalein Analogues as SARS-CoV-2 Main Protease (Mpro) Inhibitors.
DOI: 10.17632/dnzcszdnc2.3
title: Data for: Role of Indigenous and local knowledge in seasonal forecasts and climate adaptation: A case study of smallholder farmers in Chiredzi, Zimbabwe

description: The dataset consists of survey data collected from 100 smallholder farmers in Chiredzi district, Zimbabwe on the indigenous and local knowledge used for weather and seasonal forecasting. In addition, the dataset consists of the climate-decisions that farmers make and the overall climate adaptation responses implemented by farmers. The dataset is behind all the analysis conducted and presented in the article "Role of Indigenous and local knowledge in seasonal forecasts and climate adaptation: A case study of smallholder farmers in Chiredzi, Zimbabwe" published by Environmental Science and Policy journal.
DOI: 10.17632/n7nbhmcchh.1
title: Determination of initialization of quality change in true and accessory fruits based on fruit growth characteristics dataset

description: Tomato growth dataset. Fresh weight, colour and firmness as sampled over tomato fruit growth period.
DOI: 10.17632/dx5h44jyvz.1
title: LDHU3_05.0470

description: Tetratricopeptide (TPR) domain-containing protein; Leishmania donovani (HU3 strain)
DOI: 10.17632/jm38nkwp9x.1
title: Dataset of sodium borosilicate glass properties from molecular dynamics simulations

description: This dataset contains structural, thermophysical, and mechanical properties of SiO₂-B₂O₃-Na₂O glasses obtained from Molecular Dynamics simulations. This includes the population of the different structural glass-forming units, glass densities, enthalpies of mixing, elastic moduli (Young, bulk, and shear), and Poisson's ratio. The data cover the whole glass-forming composition space of the SiO₂-B₂O₃-Na₂O pseudo-ternary system with a constant composition increment of 5%. Two different empirical potentials were used in the simulations to assess the potential-dependent character of the observations. The dataset includes experimental values for the density and mechanical properties of several glass compositions gathered from the literature, which were used to quantify the validity of the two potentials.
DOI: 10.17632/75df6ghv3w.1
title: Dataset for "Agro-industrial by-products as alternative additives for the agronomic valorization of pig slurry through pH modification"

description: The present spreadsheet contains all the data collected during the experimental phase of the study. A reader is provided with explnation of the abbreviations and treatments.
DOI: 10.17632/hx4vgcvhy4.1
title: LDHU3_05.0630

description: CRK2 | cdc2-related kinase; Leishmania donovani (HU3 strain)
DOI: 10.17632/c8b6wyncfk.1
title: LDHU3_05.0700

description: Hook complex subunit; Leishmania donovani (HU3 strain)
DOI: 10.17632/cx5cz7c5c2.1
title: The short-term distribution of the average intensity of erosion and deposition in different groups

description: The short-term distribution of the average intensity of erosion and deposition within 2020 in the low tide group, the medium-low tide group, the medium-high tide group and the high tide group.
DOI: 10.17632/4t9twsz9bg.1
title: ARF7 promoter constructs alongside original expression data.

description: There are two sets of data here. The first is plasmid sequences in .gbk files. 
Each folder relates to a different transgenic construct and contains two data types here. The first is .gb files containing plasmid sequences cloned into Arabidopsis. All constructs involve different variants of the ARF7 promoter. The second set of data are original confocal files for the imaged lines. There are 3 independent transgenic lines, each of which has its own file. 
The first intron of ARF7 is required for expression in root tips. 
Jingyi Han (撖静宜), Ute Voß, Teva Vernoux, Rahul Bhosale and Anthony Bishopp
DOI: 10.17632/cx5cz7c5c2.2
title: Intensity of coastal change in the intertidal zone of the RSRs at different topographic elevations within the year.

description: The intensity of coastal change in the intertidal zone of the RSRs at different topographic elevations within 2020.
DOI: 10.17632/j95hc7bm7m.3
title: Comet 81P/Wild 2 dust impactors of Stardust turnip-like tracks analogous to cluster IDPs

description: Raw and processed EPMA major element and SIMS oxygen isotope data.
DOI: 10.17632/4mzgzbstrn.1
title: Diagnostic and first structuring of human talent management processes in Corporation CA

description: Conjunto de datos que presentan resultados parciales de la participación en el Proyecto Municipal Circulo Virtuoso en la ciudad de Pereira, trabajo realizado en Corporación CA, organización sin ánimo de lucro. Contribuciones realizadas por la profesora Jennifer Tatiana Muñoz Jaramillo y los estudiantes del curso psicología en el campo de las organizaciones durante los semestres 2310 y 2220. Análisis de resultados: De los procesos de gestión del talento humano que se evidencian al interior de las organizaciones se realiza un diagnostico en la Corporación CA, encontrando que en la organización no se tienen definidos estos procesos. Se avanza en la creación de los perfiles de cargo de la corporación y se presentan los siguientes 10 perfiles: (1) Manipulación de alimentos; (2) Tesorera; (3) Facilitadora de ludoteca y bienestar; (4) Facilitadora en refuerzo escolar; (5) Facilitador/ra de ludoteca y refuerzo escolar; (6) Psicólogo; (7) Contadora; (8) Practicante Escuela para la vida; (9) Representante legal y (10) Coordinadora y facilitadora de Educación y Artes. 

Resultados (Ampliado): Los estudiantes de psicología de la UCC del curso psicología en el campo de las organizaciones bajo la dirección de la profesora mencionada, realizaron a los trabajadores de la Corporación CA una entrevista estructurada con diferentes categorías de análisis direccionadas a los procesos organizacionales, de las cuales se pudo constatar que por el momento no se encuentran estructurados. Se corroboro que no existen perfiles de cargo, ni procesos de reclutamiento definidos, los cuales son fundamentales para mejorar la adaptación de las personas a su puesto de trabajo, pues estos permitirían que los nuevos trabajadores de la Corporación obtengan información sobre su puesto y como desarrollarlo de manera eficaz.
 
En cuanto a la selección y contratación no existen procedimientos claros. Durante la entrevista no se evidencia el uso de elementos de dotación ni distintivos que faciliten la labor de los trabajadores o los identifique como colaboradores de la Corporación. En cuanto a los procesos de inducción y capacitación no se cuenta con un procedimiento estructurado. Tampoco se tienen definidas las evaluaciones de desempeño ni se llevan a cabo planes de mejoramiento. No existen políticas de protección de los trabajadores. Los eventos de bienestar laboral están implementados por los colaboradores como el festejo de cumpleaños encontrando que se pueden desarrollar diferentes programas direccionados a la salud mental de los integrantes de la Corporación CA. Finalmente, no existe un procedimiento para el retiro.

Durante el 2310 se inicia con la creación de los perfiles de cargo de la Corporación CA y se presentan los perfiles mencionados previamente. Se concluye que sin importar que se trate de una organización sin ánimo de lucro para el correcto funcionamiento de la misma es indispensable la creación de los procesos de gestión del talento humano y la estructuración del área.
DOI: 10.17632/5sktkmg8x9.2
title: 2022 Agua Salud LMER Code RStudio

description: This is an RStudio script for a linear mixed effects model analysis using lmer. This linear mixed effects model was constructed to analyze the relative impacts of soil temperature, soil moisture, forest floor mass and soil organic C on soil CO2 fluxes (see dataset entitled 2022 Agua Salud CO2 Fluxes - Raw Data). First, a full mixed effects model was constructed using soil temperature (T), soil moisture (Moist), forest floor mass (Litter), and soil organic C (SOC) and their two-level interactions as fixed effects with Site as a random effect. Parameter estimates and sums of squares for each term were determined using summary(model) and anova(model) functions for the full model. To investigate the directions of the significant interaction terms identified in the full model, the deltaMethod function from the car package was used to generate transformations of the parameter estimates, resulting in point estimates and standard errors for CO2 flux. Data tables for the interaction plots were generated and plotted in a separate file (see 2022 Agua Salud Interaction Plots Code RStudio).
DOI: 10.17632/r7rj6bzs6j.1
title: Database 3

description: Database from work: Effect of Ti-B Grain Refiners on Wear and Corrosion of the A332 Alloy with Sr Modification
DOI: 10.17632/r7rj6bzs6j.2
title: Database 3

description: Database from work: Effect of Ti-B Grain Refiners on Wear and Corrosion of the A332 Alloy with Sr Modification.
DOI: 10.17632/jwgghwd3z8.2
title: Teachers Paper-prototyping Augmented Reality Activities for Classroom Use

description: The dataset compiles Augmented Reality activities imagined and created by a large variety of teachers during a 6-step co-design session. The data was collected in 2022, among 18 teachers in metropolitan France and Futuna, a French overseas collectivity in the Pacific Ocean. The data describes the profiles of these teachers, in terms of teaching experience, experience using technology in class, educational subjects taught (sciences, languages, sports), and the type of school they teach in (primary schools, middle school, high school, and university). These teachers were purposely selected to provide a large variety of profiles. The data also shows the Augmented Reality activities they imagined, the educational scenarios they want to use them in, and their pedagogical goals. The described activities show the teachers’ conceptions and misconceptions of Augmented Reality and reveal similar patterns in the instructional design.
DOI: 10.17632/278xftxdrk.1
title: LDHU3_17.0170

description: Elongation factor 1-alpha; Leishmania donovani (HU3 strain)
DOI: 10.17632/xy7m524xk7.1
title: LDHU3_17.0160

description: Elongation factor 1-alpha; Leishmania donovani (HU3 strain)
DOI: 10.17632/cd6vfgkvp5.2
title: The Impact of High-density Urban Wind Environments on the Distribution of COVID-19 Based on Machine Learning: A Case Study of Macau (Training set for machine learning)

description: This is the corresponding machine learning training set for the paper "The Impact of High-density Urban Wind Environments on the Distribution of COVID-19 Based on Machine Learning: A Case Study of Macau". For details, please refer to our published research papers.
The COVID-19 epidemic has become a global challenge, and the urban wind environment, as an important part of urban spaces, may play a key role in the spread of the virus. Therefore, an in-depth understanding of the impact of urban wind environments on the spread of COVID-19 is of great significance for formulating effective prevention and control strategies. This paper adopts the conditional generative confrontation network (CGAN) method, uses simulated urban wind envi-ronment data and COVID-19 distribution data for machine training, and trains a model to predict the distribution probability of COVID-19 under different wind environments. Through the appli-cation of this model, the relationship between the urban wind environment and the spread of COVID-19 can be studied in depth. This study found that: (1) there are significant differences in the different types of wind environments and COVID-19 and areas with high building density are more susceptible to COVID-19 hotspots; (2) the distribution of COVID-19 hotspots in building complexes and the characteristics of the building itself are correlated; and (3) similarly, the building area in-fluences the spread of COVID-19. In response to long COVID or residential area planning in the post-epidemic era, three principles can be considered for high-density cities such as Macau: building houses on the northeast side of the mountain; making residential building layouts of "strip" or "rectangular" design; and ensuring that the long side of the building faces southeast (the windward side). (4) It is recommended that the overall wind speed around the building be greater than 2.91 m/s, and the optimal wind speed is between 4.85 and 8.73 m/s. This finding provides valuable in-formation for urban planning and public health departments to help formulate more effective ep-idemic prevention and control strategies. This study uses machine-learning methods to reveal the impact of urban wind environments on the distribution of COVID-19 and provides important in-sights into urban planning and public health strategy development.
DOI: 10.17632/cd6vfgkvp5.1
title: The Impact of High-density Urban Wind Environments on the Distribution of COVID-19 Based on Machine Learning: A Case Study of Macau (Training set for machine learning)

description: This is the corresponding machine learning training set for the paper "The Impact of High-density Urban Wind Environments on the Distribution of COVID-19 Based on Machine Learning: A Case Study of Macau". For details, please refer to our published research papers.
The COVID-19 epidemic has become a global challenge, and the urban wind environment, as an important part of urban spaces, may play a key role in the spread of the virus. Therefore, an in-depth understanding of the impact of urban wind environments on the spread of COVID-19 is of great significance for formulating effective prevention and control strategies. This paper adopts the conditional generative confrontation network (CGAN) method, uses simulated urban wind envi-ronment data and COVID-19 distribution data for machine training, and trains a model to predict the distribution probability of COVID-19 under different wind environments. Through the appli-cation of this model, the relationship between the urban wind environment and the spread of COVID-19 can be studied in depth. This study found that: (1) there are significant differences in the different types of wind environments and COVID-19 and areas with high building density are more susceptible to COVID-19 hotspots; (2) the distribution of COVID-19 hotspots in building complexes and the characteristics of the building itself are correlated; and (3) similarly, the building area in-fluences the spread of COVID-19. In response to long COVID or residential area planning in the post-epidemic era, three principles can be considered for high-density cities such as Macau: building houses on the northeast side of the mountain; making residential building layouts of "strip" or "rectangular" design; and ensuring that the long side of the building faces southeast (the windward side). (4) It is recommended that the overall wind speed around the building be greater than 2.91 m/s, and the optimal wind speed is between 4.85 and 8.73 m/s. This finding provides valuable in-formation for urban planning and public health departments to help formulate more effective ep-idemic prevention and control strategies. This study uses machine-learning methods to reveal the impact of urban wind environments on the distribution of COVID-19 and provides important in-sights into urban planning and public health strategy development.
DOI: 10.17632/vfbbdvp9w2.1
title: Dataset: Statistical evaluation of methane isotopic signatures determined during near-source measurements

description: Methane isotopic signature data collected during cotrolled release experiment. Cotrolled took place in September 2019 in Bedford and was a collaboration between NPL, RHUL and LSCE. Bag samples were collected during releases and measured aftterwards or using IRMs or CRDS. CRDS AirCore sampling was made in situ during methane release. Data were used to verify methods used to determien methane isotopic signature from mobile indorect measurements.
DOI: 10.17632/k4r8ynxyz9.1
title: Complementarity-determining region clustering causes CAR-T cell dysfunction

description: This study was designed to evaluate differences in gene expression in between different CAR-T cell constructs directed against interleukin 13 receptor alpha-2 (IL13Rα2). CAR-T cells were isolated by flow sorting and subjected to targeted bulk-RNA profiling using Nanostring nCounter CAR-T Characterization panel followed by downstream analysis. Data consists of the CAR[B]-, CAR[E]- and Mock-T cell constructs generated from 4 healthy donors.
1. 12 individual RCC files contanig the raw gene expression data for the 3 constructs x 4 donors
2. rlf annotation file for the genes
3. QC and Normalized data as an txt file
DOI: 10.17632/k4r8ynxyz9.3
title: RNA profiling data of IL13Ra2 CAR-T cells

description: This study was designed to evaluate differences in gene expression in between different CAR-T cell constructs directed against interleukin 13 receptor alpha-2 (IL13Rα2). CAR-T cells were isolated by flow sorting and subjected to targeted bulk-RNA profiling using Nanostring nCounter CAR-T Characterization panel followed by downstream analysis. Data consists of the CAR[B]-, CAR[E]- and Mock-T cell constructs generated from 4 healthy donors.
1. 12 individual RCC files contanig the raw gene expression data for the 3 constructs x 4 donors
2. rlf annotation file
3. QC and Normalized data as a txt file
DOI: 10.17632/zgwh9nncfd.1
title: Social media in higher education data

description: This is a systematic review of 10 years (2013–2022) of publications on the use of social media in higher education contexts to identify trends and patterns. A total of 92 articles were selected from the Web of Science core database after two stages of searching the literature and manual screening. The literature analysis highlighted four interrelated aspects of social media–based instruction: technical features, instructional design, implementation characteristics, and research design. These four aspects, together with the publications’ metadata, were used to formulate the key coding categories used for the systematic review. The results described changing trends in the social media literature in terms of publication and empirical types, platforms and technical features, instructional design, implementation, and research design. The meta-analysis results also indicated a large overall effect of social media (g = 0.643) and six significant moderating factors: discipline, level of usage, platform, participation type, inquiry level, and assessment context. A list of implications for future practice and research regarding social media on education is provided.
DOI: 10.17632/xy93mv9xwn.1
title: LINF_270011900

description: Dynein assembly domain-containing protein; Leishmania infantum (strain JPCM5)
DOI: 10.15468/dl.rrcz5a
title: Occurrence Download

description: A dataset containing 14 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is The Hemiptera collection (EH) of the Muséum national d'Histoire naturelle (MNHN - Paris)",
 "Geometry POLYGON((164.46986 -19.91273,163.61448 -20.04013,164.16047 -21.18672,166.94503 -22.7337,167.67302 -22.1695,166.39904 -20.96832,164.46986 -19.91273))"
 ]
}

 The dataset includes 14 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004293-250117142028555/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/j95hc7bm7m.4
title: Comet 81P/Wild 2 dust impactors of Stardust turnip-like tracks analogous to cluster IDPs

description: Raw and processed EPMA major element and SIMS oxygen isotope data.
DOI: 10.17632/gtrwx7kg6n.1
title: Akinbola et al data 2a and 2b

description: This data aims to determine the thermoregulatory response of geese at low and high Temperature Humidity Index
DOI: 10.17632/9vcrwz27pb.1
title: Dissolved and Particulate Calcium Concentration in the Southern Ocean

description: Introduction: This study aims to elucidate the role of dissolved calcium (Ca) and potential alkalinity (PA) as tracers for calcium carbonate (CaCO3) cycling in the Southern Ocean. Understanding the dynamics of these key chemical components contributes to a broader comprehension of oceanic carbon cycling and its potential implications for marine ecosystems.

Sampling Sites: Samples were collected in the Australian sector of the Southern Ocean during R/V Investigator voyage IN2020_V08, conducted between 4 December 2020 and 15 January 2021. Samples were collected at three primary sites: the Southern Ocean Time Series (SOTS) site (47°S, 141°E), and two southern sites (SS1 and SS2) located within a polar bloom at approximately 55°S, 138°E, and 58°S, 141°E, respectively. 

Sampling Methodology: Samples were collected using CTD rosettes at various depths to capture vertical profiles of Ca and PA. The choice of depth range is crucial for understanding the vertical distribution of these tracers. Particulate Ca (pCa) samples were obtained using McLane pumps, focusing on subsurface waters to estimate the standing stock of calcifying species.

Data Analysis: Both dissolved and particulate Ca samples were diluted in 2% HNO3 and measured on the ICP-OES for Ca concentrations. The results were normalised to a salinity of 35. Uncertainty in Ca measurements was assessed based on the average one standard deviation of triplicate measurements across the dataset. Nutrient concentrations were measured on board and details can be found in the report at https://www.cmar.csiro.au/data/reporting/get_file.cfm?eov_pub_id=1553. Total alkalinity (TA) was measured at CSIRO, Hobart. 

PA calculation: 
PA calculation involves correcting measured TA concentrations for the presence of nitrate (NO3-), nitrite (NO2-), phosphate (PO4(3-)), sulphate (SO4(2-)) and ammonium (NH4+) and normalised for a salinity of 35. The concentration of sulphate is assumed to be 20% of the nitrate contribution.

PA=(TA+NO3-+NO2-+PO4(3-)+SO4(2-)-NH4+)∙35/S
DOI: 10.17632/t4hf26kkyh.2
title: Did the American Rescue Plan Cause Inflation? A Synthetic Control Approach

description: Replication Folder for "Did the American Rescue Plan Cause Inflation? A Synthetic Control Approach" by Dong Gyun Ko
DOI: 10.17632/b7gxtxnctn.1
title: LINF_270018300

description: histone H1; Leishmania infantum (strain JPCM5)
DOI: 10.17632/vzsx6k32zw.1
title: LINF_270013700

description: Dimeric α-β barrel domain-containing protein; Leishmania infantum (strain JPCM5)
DOI: 10.17632/w2s66sskn9.1
title: Diagnosis of oral cancer bibliometric analysis database

description: Research database "Analysis of scientific publications on the diagnosis of oral cancer: a bibliometric study over 22 years"