cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/ck69zx89fc
title: Netatmo Citizen Weather Station Data over Europe (July, 2019)

description: Netatmo citizen weather station (CWS) data over Europe during the heatwave of July 2019. Specifics below:

Geojsons for the urban clusters, their buffers, and the decile regions for daytime and nighttime corresponding to MODIS Aqua and Terra land surface temperature (LST) observations are in the 'RegionsofInterest' folder.

The 'DataSummaries' folder includes CWS measurements of air temperature (Temp) and relative humidity (RH) concurrent with MODIS LST observations for each day of July, 2019 (see date and Day fields). The satellite overpass time (MODIS_Time) and the sensor time (Sensor_Time) are included. Separate tables are used for each LST decile region, buffer, and corresponding to Aqua and Terra observations.

The 'ClusterSummaries' folder includes the cluster-mean estimates of Temp and RH, as well as the corresponding Normalized Difference Vegetation Index (NDVI) from pixels overlaying the CWSs. Separate tables are used for each LST decile region and the buffer. Separate tables are used for each LST decile region, buffer, and corresponding to Aqua and Terra observations.

The 'ClusterSummaries_percentile' folder includes cluster-scale estimates of the 95th and 98th percentile of CWS measured Temp, RH, and apparent temperature (HI). Separate tables are used for each LST decile region and buffer.

The 'StationSummaries_percentile' folder includes estimates of the 95th and 98th percentile of CWS measured Temp, RH, and apparent temperature (HI), for each CWS considered here. Separate tables are used for the LST decile region and buffer.
DOI: 10.6084/m9.figshare.29071418.v2
title: The dataset used for the LKDA-Net model experiment

description: We propose a lightweight three-dimensional convolutional network, LKDA-Net, for efficient and accurate three-dimensional volumetric segmentation. This network adopts a large-kernel depthwise convolution attention mechanism to simulate the self-attention mechanism of Transformers. Our paper utilizes three publicly available datasets for medical image segmentation, namely: Synapse, ACDC, and BTCV. Specific descriptions of these datasets are provided in the "Experiments and Results" section of this paper.
DOI: 10.17632/psks568knc
title: APRENDIZAJE COMO ALUMNO/PROFESOR A TRAVÉS DE UN MODULO DE COMPETENCIAS

description: Aquí se muestran datos y evidencias del aprendizaje que se vá obteniendo de acuerdo al accionar del alumno hacia el profesor y del profesor hacia el alumno. Se pretende dar pistas claras de como a través de un módulo por competencias se dá el aprendizaje como Alumno/Profesor. La vivencia en los dos (2) frentes, tanto como alumno y como profesor en un módulo de competencias durante todo un semestre, es lo que denominamos particularmente como “competencia compartida”. Esto último dicho hace aún más interesante la experiencia de ser profesor y alumno al mismo tiempo y observar en vivo y en directo lo que se analiza en los dos frentes. Indiscutiblemente que tener esa dualidad hace que se pellizque cualquiera persona que lo esté viviendo y utilice un pensamiento que es hasta bíblico el cual señala que “con la misma vara que mides sereís medido”. 
Como estudiante se tuvo una experiencia enriquecedora ya que los alumnos compañeros también eran profesores y se considera que tenían o tienen mucha experticia en el ejercicio dual que se trata de explicar aquí. Así mismo se tuvo oportunidad de expresar puntos de vista particulares pero partiendo siempre de unas premisas que se plantearon muy sencilla y hasta magistralmente en la plataforma, más exactamente por debates. Aquí inicialmente se trata de mostrar algunas participaciones propias de lo que fue tema de debate en cuanto a las rubricas de evidencias y rubricas del curso.
Por ejemplo:
Mostramos como reflexionan los alumnos cuando hace las veces de profesor; en este caso, el de los alumnos del curso que se desarrolló con ellos:

Reflexión
Es importante seguir recalcando que como contadores públicos estamos capacitados para ser líderes que respondan a las demandas de una sociedad necesitada de transformar, de innovar en un contexto crítico y complejo, donde la responsabilidad social y solidaria sea el eje central. 
De acuerdo a los resultados de un Test de Evaluación de emprendedores aplicados, tenemos:
Manifiestan que "mis potencialidades puedo aplicarlas en la creación de una organización solidaria sin ánimo de lucro que tenga como bandera un proyecto de capacitación y asesoramiento en contabilidad para aquellos emprendedores que sueñan con crear su propia empresa pero no cuentan con los recursos para contratar a un contador que los guíe en los lineamientos adecuados que formen una estructura sólida de su idea de negocio". 
Como conclusiones:
Es muy importante analizar cada una de las caracteristicas que como emprendedor puedo verme en un espejo de resultados y asi poder mejorar algunos de los aspectos mencionados anteriormente. Como profesional me veo emprendiendo proyectos que mejoren la calidad de desarrollo de nuestra region (cordoba), ya que necesitamos cada dia mas personas con desarrollo profesional que seamos capaces de sacar nuestra tierra adelante. 
Importante revisar la metodología de aula invertida y estudios de casos de manera colaborativa y roles del estudiante de hoy.
DOI: 10.6084/m9.figshare.24166314.v1
title: Data for paper "Restricted dispersal and inbreeding in a high-elevation bird across the ‘sky islands’ of the European Alps" (Journal of Biogeography)

description: This dataset includes all the data used for fitting in R the maximum likelihood population effects models reported in the paper "Restricted dispersal and inbreeding in a high-elevation bird across the ‘sky islands’ of the European Alps": the matrix of individuals genetic distances (gendistances_all.csv), raster files connected to different hypotheses of landscape effect on dispersal (resistance_MN.asc, isolation_MN.asc, constant_asc.asc, null_asc.asc), coordinates for each sample (MN_coord_all.txt), and R script for MLPE models (MLPE_script.txt). The same files are provided also to fit the same models on a reduced dataset where first-degree relationships involving juveniles were removed (gendistances_unrelated_ad.csv, MN_coord_unrelated_ad.txt, MLPE_script_filtered_dataset.txt). Data are provided also for the species distribution models reported in the study, i.e., the snowfinch occurrence data used in the models (snowfinch_data_cleaned.csv) as well as training and testing datasets (SWD_white_winged_snowfinch_training.RDS and SWD_white_winged_snowfinch_testing.RDS).
DOI: 10.17632/snw2pbpbn2
title: Survey Data on Sustainable Consumption from Malaysian Household

description: This is Survey Data on Sustainable Consumption from Malaysian Household. The questionnaire of sustainable consumption among Malaysian household has been provided as well.
DOI: 10.6084/m9.figshare.24465754.v1
title: AVIA-Indoor labels and predictions

description: The file provided the predictions for the dataset <i>AVIA-Indoor</i> generated by M-detector introduced in the paper titled "Moving Event Detection from LiDAR Point Streams".
DOI: 10.6084/m9.figshare.7852172.v1
title: Global Flow

description: This archive contains estimates of runoff to all river outlets globally, excluding Greenland and Antarctica, based on routing through the simulated topological network at 30-minute spatial resolution (STN-30p, version 6.01;<br>2004–07) flow network [Vörösmarty et al. 2000; downloaded from Water Systems Analysis Group (2007)] at 1/2-degree latitude-by-longitude resolution using the Lohmann et al. (1996, 1998) routing model. The data set is a hybrid of simulated and observed streamflow for 4 model-method combinations, as described in<br>Clark, E.A., J. Sheffield, M.T.H. van Vliet, B. Nijssen, and D.P. Lettenmaier, 2015, Continental runoff into the oceans (1950-2008), J. Hydrometeor., http://dx.doi.org/10.1175/JHM-D-14-0183.1.
DOI: 10.17632/szj2hyk6c5
title: Data for: Records of the Mid-Brunhes Event recorded in Chinese loess-paleosol sequences
DOI: 10.17632/7h4h2s8fhc
title: MMSE, FAB, and MEG source study

description: Mini Mental State Examination (MMSE), Frontal Assessment battery (FAB), and magnetoencephalography (MEG) source study
DOI: 10.17632/x4thjr5kcy
title: Data for Chemical Engineering Research and Design

description: These data contain coal consumption in the industrial sector in Jakarta. These data were obtained from BPS-Statistics DKI Jakarta Province and BPS-Statistics of Indonesia.
DOI: 10.25438/wes02.29166605.v2
title: City Diplomacy and U.S. Metro Area Exports

description: This is long-form yearly data from 2005-2019 for each of the 100 largest metro areas in the United States in 2019. For each metro area it includes: population, per capita income, metro area export value, USDX, number of foreign Consulate Generals, number of active Sister City International relationships, and the metro area memberships to ten leading international city networks/organizations.
DOI: 10.17632/56v336z2y7
title: Synthetic Dataset for COVID-19 Contact Tracing - One Million Scenarios

description: Contact tracing involves the systematic collection and analysis of information on individuals who have had close contact with confirmed cases of an infectious disease. Contact tracing systems encompasses various surveillance inputs that aid in predicting high-risk individuals. The considered inputs include in this data set are distance, overlap time, incubation time, visiting time lag, and facility size. The generated data includes 1000,000 scenarios involving different sets of exposed individuals. To ensure diversity within the samples, random generation techniques were employed to assign each person a distinct exposure scenario, distinct from that of others in the sample. The generated data covers a wide range of distances, spanning from one foot to 99 feet, considering indoor meetings. Facility sizes are categorized into five types, namely very small (1), small (2), medium (3), large (4), and very large (5). The overlap time duration varies from one minute to 480 minutes, and similarly the visiting time lag ranges from one minute to 480 minutes. Lastly, the incubation time is generated within the context of COVID-19, ranging from one day to 14 days.

Distance: This parameter represents the spatial separation between a confirmed infected person and an exposed individual during contact, indicating the physical distance maintained between them. 
Overlap Time: This parameter measures the duration of close proximity between an infected person and an exposed individual, indicating the amount of time spent in direct contact.
Visiting Time Lag: This parameter denotes the time gap between consecutive visits of an individual to a particular location or facility after a confirmed infected person has departed from the same place. This factor takes into account the possibility of indirect contact with the infected person through touching a contaminated object or surface. 
Incubation Time: The parameter representing the period elapsed from the moment of exposure to an infectious agent to the onset of noticeable symptoms in an infected individual.
Facility Size: The parameter indicating the dimensions or capacity of the specific location or venue where the contact takes place, offering insights into the physical space available for interactions.
DOI: 10.17632/h5ppwx6fn4
title: Video Dataset of Sheep Activity (Grazing, Running, Sitting)

description: A primary dataset capturing five distinct types of sheep activities in realistic settings has been constructed at various resolutions and viewing angles, targeting the expansion of the domain knowledge for non-contact virtual fencing approaches. The present dataset can be used to develop non-invasive approaches for sheep activity detection, which can be proven useful for farming activities including, but not limited to: (i) sheep counting, (ii) virtual fencing, (iii) behavior detection for health status, and (v) effective sheep breeding. Sheep activity classes include grazing, running, sitting, standing, and walking. The activities of individuals, as well as herds of sheep, were recorded at different resolutions and angles to provide a dataset of diverse characteristics. Overall, a total of 149,327 frames from 417 videos (the equivalent of 59 minutes of footage) are presented with a balanced set for each activity class, which can be utilized for robust non-invasive detection models based on computer vision techniques. Despite a decent existence of noise within the original data (e.g., segments with no sheep present, multiple sheep in single frames, multiple activities by one or more sheep in single as well as multiple frames, segments with sheep alongside other non-sheep objects), we provide original videos and the extracted frames (with videos and frames containing humans omitted for privacy reasons). The present dataset includes diverse sheep activity characteristics and can be useful for robust detection and recognition models, as well as advanced activity detection models as a function of time for the applications. Note: We separated three additional classes of the same dataset into a separate Mendeley dataset since the size of the video set was above the allowed limit by Mendeley Data Repository. Those three additional classes are uploaded in a separate dataset which can be accessed via (Reference below with DOI: 10.17632/w65pvb84dg.1). Three classes from the DOI (provided below) can be copied into this main folder in order to have the complete dataset with 5 distinct classes. Khan, Bilal; Kelly, Nathan (2023), “Video Dataset of Sheep Activity (Standing and Walking)”, Mendeley Data, V1, doi: 10.17632/w65pvb84dg.1
DOI: 10.17632/pb7fjnwcw4
title: Dataset on rheological measurements of xanthan gum and carrageenan dispersed in seawater and settling dynamics of spherical and non-spherical microplastics in these dispersions

description: This dataset contains (1) measurements of settling dynamics of spheres, disks, rods, blades, and irregular solid particles made of plastic (PS, POM, PET, PA6) with the longest dimension &lt; 5 mm, i.e. representing microplastics (MPs), in artificial seawater (AS) and in dispersions of xanthan gum (XG), kappa-carrageenan (CR), and their mixtures (XG+CR) in artificial seawater and (2) rheological characteristics of these non-Newtonian dispersions. 
Experiments comprised seven test solutions including AS and six dispersions containing 0.5 and 1 g/L of each polymer type (XG, CR, and XG+CR). The settling of fifteen types of spherical and non-spherical MPs was examined in a settling column using visualization and Particle Tracking Velocimetry methods to achieve data on the position of particle centroid in time. Rheological measurements were carried out to assess flow properties, viscoelasticity (shear stress amplitude sweeps, the dependence of the first normal stresses difference on shear strain), and gelling time of all test solutions.
Experiments on settling dynamics were carried out at the Laboratory of Hydrodynamic Micromodels, Institute of Geophysics, Polish Academy of Sciences and rheological measurements at the Faculty of Chemistry, Warsaw University of Technology.
DOI: 10.17632/wybdsgd59r
title: Maleimide self-reaction in furan/maleimide-based reversibly crosslinked polyketones: Processing limitation or potential advantage?

description: Polymers crosslinked via furan/maleimide thermo-reversible chemistry have been extensively explored as reprocessable and self-healing thermosets and elastomers. For such applications, is important that the thermo-reversible features are reproducible after many reprocessing and healing cycles. Therefore, side reactions are undesirable. However, we have noticed irreversible changes in the mechanical properties of such materials when exposing them to temperatures around 150 °C. In this work, we study if these changes are due to the self-reaction of maleimide moieties that may take place at this rather low temperature. In order to do so, we prepared a furan-grafted polyketone crosslinked with the commonly used aromatic bismaleimide (1,1'-(methylenedi-4,1-phenylene)bismaleimide), and exposed it to isothermal treatments at 150 °C. The changes in the chemistry and thermo-mechanical properties were mainly studied by infrared spectroscopy, 1H-NMR, and rheology. Our results indicate that maleimide self-reaction does take place in the studied polymer system. This finding comes along with limitations over the reprocessing and self-healing procedures for furan/maleimide-based reversibly crosslinked polymers that present their softening (decrosslinking) point at relatively high temperatures. On the other hand, the side reaction can also be used to tune the properties of such polymer products through in situ thermal treatments. Here is the raw and processed data obtained by FTIR, NMR and rheology. Each excel file is clearly named in order to guide the reader.
DOI: 10.17632/4h9rzb4fzv
title: Attract the best: The attraction effect as an effective strategy to enhance healthy choices

description: Dataset paper ''Attract the best''
DOI: 10.17632/7rr78v3fcv
title: LINF_190014400

description: Folate-biopterin transporter-like protein; Leishmania infantum (strain JPCM5)
DOI: 10.17632/9jcdz2k2tc
title: From Cyclones to Cybersecurity: A Call for Convergence in Risk and Crisis Communications Research

description: A robust body of literature investigates mechanisms for improving risk communication because effective risk communication saves lives. While effective risk communication strategies are equally desired across different hazard domains (e.g., natural hazards, cyber security), the extent to which risk communication experts utilize the “lessons learned” from disciplines outside their own is suspect. Therefore, we hypothesized that risk communication research is siloed according to scientific disciplines at the detriment to the advancement of the field of risk communications research writ large. We test this hypothesis by evaluating the disciplinarity of 5,264 published papers using a combination of simple descriptive statistics, natural language processing, and hierarchical clustering. Finding that the risk communication research is siloed according to disciplinary lexicons, we present our findings as a call for convergence amongst our risk and crisis communication scholars to bridge across our disciplinary silos. In so doing, we will increase our ability to affect transformative change in the efficacy of our risk and crises messages.
DOI: 10.17632/jrks744mmc
title: Country Innovation Advantage Ranking: A New Approach and comparison with the Global Innovation Index

description: We consider a special multi-objective decision-making problem, aiming to identify the ‘best countries’ in terms of their innovative advantage. We propose using rating/ranking-theory methods for the solution to this problem. Moreover, we also show that voting theory methods can be useful to aggregate the results from different ranking methods. For illustrative purposes, our investigation uses a dataset from the Global Innovation Index (GII) 2019. Using different rating/ranking methods, we obtain new alternative ratings/rankings of the innovative advantages of countries. In Particular, the following methods was used as examples: the Buchholz method, Colley method, the Markov-chain method, Perron-Frobenius and geometric mean versions of the analytical hierarchy process (AHP), and the entropy method. The dataset presents the results of our calculations. Namely, the new ratings/rankings of the innovative advantages of countries and their comparison with GII -2019. A detailed description of the calculation methods will be presented in the corresponding publication. The dataset is presented as a sheet of an MS Excel file (.xlsx): which include the following columns: Column #: ID; Column Country: Country name; Column 3 Code: ISO alpha 3 code of country; Column GII-Rating: GII-2019 score Column rE: rating score by the entropy method; Column AHPpf: rating score by the AHP Perron-Frobenius version; Column AHPgm: rating score by the AHP geometric mean version; Column rB: rating score by the Buchholz method; Column rC: rating score by the Colley method; Column Mch: rating score by the Markov-chain method; Column GII-Rank: GII-2019 rank; Column Rank-rE: ranking by the entropy method; Column Rank-AHPpf: ranking by the AHP Perron-Frobenius version; Column Rank-AHPgm: ranking by the AHP geometric mean version; Column Rank-rB: ranking by the Buchholz method; Column Rank-rC: ranking by the Colley method; Column Rank-Mch: ranking by the Markov-chain method; Column AggR: ranking obtained by aggregation previous 6 ranks by the Borda method.
DOI: 10.17632/sz8m2fs46d
title: Supplementary data for The role of ultraviolet induced fluorescence dermoscopy for the detection of multiple aggregated yellow-white (MAY) globules in basal cell carcinoma

description: Supplementary dermoscopic images for "The role of ultraviolet induced fluorescence dermoscopy for the detection of multiple aggregated yellow-white (MAY) globules in basal cell carcinoma"
DOI: 10.6084/m9.figshare.28237175.v1
title: Supporting data for "Characterization of Photon Statistics by Single Threshold Detector without Multiplexing via Rotational Doppler Effect"

description: Supporting data for "Characterization of Photon Statistics by Single Threshold Detector without Multiplexing via Rotational Doppler Effect"
DOI: 10.17632/3dz9wytfbz
title: Desenvolvimento de ferramenta para remoção da espécie invasora coral-sol: Banco de imagens do experimento de manejo

description: Este banco de imagens constitui material complementar à dissertação intitulada: Desenvolvimento de ferramenta para remoção da espécie invasora coral-sol.
Dissertação (mestrado) - Universidade Federal de Santa Catarina, Campus Joinville, Programa de Pós-Graduação em Engenharia e Ciências Mecânicas, Joinville, 2024.
Autor: Msc. Arthur Sena Marques
Orientador: Prof. Dr. Andrea Piga Carboni
Coorientadora: Profa. Dra. Bárbara Segal Ramos
DOI: 10.17632/d848h7rcdg
title: Network localization strength regulates innovation diffusion with macro-level social influence

description: Data as part of the article "Network localization strength regulates innovation diffusion with macro-level social influence".
DOI: 10.4121/uuid:270fd440-1057-4fb9-89a9-b699b47990f5
title: Road Traffic Fine Management Process

description: Real-life event log of an information system managing road traffic fines.
DOI: 10.17632/mb4z3s465f
title: Systematic Literature Mapping on Agile Risk Management Raw Data

description: Agile software development methods allow exploiting software development characteristics to minimize risks in software development projects. Although Agile practices such as small increments, work visibility and expectations management tend to ensure that project results are delivered, they are often not sufficient to manage project risks in certain scenarios, where other explicit risk management practices can be added. In order to understand how risk management is being integrated into Agile software development methods, a Systematic Literature Mapping (SLM) was conducted following the steps of protocol definition, search execution, study selection and data extraction and analysis. The collected data from the selected primary studies are recorded in this Data Collection Form.