cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25345/c50r1g
title: MassIVE MSV000086187 - Proteome of Panstrongylus megistus digestive tract
title: Panstrongylus megistus are insect triatomines and potential vectors of the protozoan Trypanosoma cruzi responsible for human Chagas' disease. Considering that the T. cruzi's cycle occurs inside the triatomine digestive tract (TDT), the analysis of the TDT protein profile is an essential step to understand TDT physiology during T. cruzi infection. To characterize the protein profile of TDT of P. megistus, a shotgun liquid chromatography-tandem mass spectrometry (LC-MS/MS) approach was applied in this report.
DOI: 10.6084/m9.figshare.12987710
title: Data extracted from the official German topographic database ATKIS at scale 1:25.000

description: Data set extracted from the official German topographic database ATKIS with the highest provided granularity at scale 1:25.000. It covers a rural area in the northwest of North Rhine-Westphalia containing 1647 polygons of six different land-use classes and a road network comprising line features of different road types.
DOI: 10.26049/asp78-2-2020-06/1
title: The African-Iberian connection in Odonata: mtDNA and ncDNA based phylogeography of Aeshna cyanea (Müller, 1764) (Odonata: Aeshnidae) in Western Palaearctic – Electronic Supplements
DOI: 10.5285/acd939f0-38e7-57b0-e053-6c86abc0aa19
title: Key WireWall project data generated during the field deployment at Hall Road Crosby (North of Liverpool UK), between October 2018 and March 2019

description: The prototype WireWall measurement system was deployed at Hall Road Crosby (north of Liverpool UK) and measured overtopping eight times between October 2018 and March 2019. Deployments took place during tides with a range greater than the mean spring tide when there was an onshore wind. The system measured the inland distribution of wave-by-wave overtopping discharge and horizontal velocity for a couple of hours either side of high water. Wave and water level data to numerically estimate conditions when monitoring data became available were obtained from the Liverpool Bay WaveNet buoy and Liverpool Gladstone Dock NTSLF tide gauge. A beach profile collected during low water prior to deployment was used in the numerical estimates. During these experiments a time series of data were collected during the overtopping window. Numerical estimates using the SWAN model and the BayonetGPE tool (EurOtop 2018) were compared to the measurements. The observed data archived for the 26th October 2018 and 25th January 2019 represent the horizontal overtopping discharge and horizontal overtopping velocity averaged over different periods selected by the project's wider interest group (5 min and 15 min). The numerical (SWAN-BayonetGPE) data are archived at 15 minute intervals for eight events.
DOI: 10.5281/zenodo.4043367
title: Database of last interglacial sea level proxies in the East Africa and Western Indian Ocean Region

description: This Excel spreadsheet is a complete record of the relative sea level proxies described in "Last Interglacial sea-level proxies in East Africa and the Western Indian Ocean" (Boyden et al., 2020, Earth System Science Data). It has been exported from "The World Atlas of Last Interglacial Shorelines (WALIS) database (https://warmcoasts.eu/world-atlas.html).
DOI: 10.25345/c5vx77
title: MassIVE MSV000086188 - Proteome of Rhodnius prolixus digestive tract
title: Rhodnius prolixus are insect triatomines and potential vectors of the protozoan Trypanosoma cruzi responsible for human Chagas' disease. Considering that the T. cruzi's cycle occurs inside the triatomine digestive tract (TDT), the analysis of the TDT protein profile is an essential step to understand TDT physiology during T. cruzi infection. To characterize the protein profile of TDT of R. prolixus, a shotgun liquid chromatography-tandem mass spectrometry (LC-MS/MS) approach was applied in this report.
DOI: 10.5281/zenodo.4009899
title: R4D data Towards Food Sustainability Project

description: Contains the data of the Swiss r4d project "Towards Food Sustainability" (2015-2020)
DOI: 10.5281/zenodo.4009898
title: R4D data Towards Food Sustainability Project

description: Contains the data of the Swiss r4d project "Towards Food Sustainability" (2015-2020)
DOI: 10.6084/m9.figshare.9980441.v2
title: The annotation of uORFs in 481 eukaryotes

description: The annotation of uORFs in 481 eukaryotes.
DOI: 10.6084/m9.figshare.12936293.v1
title: Chitosan nanoparticles of Achillea millefolium L.

description: It contains various output files of chitosan nanoparticles of with different concentration of STPP.<br>Unedited and uncropped FT- IR graphs and TEM images of <i>A. millefolium</i> chitosan nanoparticles (AMCSNPs),<br>ZOI of antibacterial activity of AMCSNPs,<br>Absorption values of antiurolithiatic activity AMCSNPs.
DOI: 10.6084/m9.figshare.12459056.v9
title: agnostosDB_dbf02445-20200519

description: The agnostosDB (dbf02445-20200519) is a comprehensive dataset of microbial gene clusters (GCs) from genomes and metagenomes. It contains 5,287,759 GCs and more than 280M genes coming from the bacterial and archaeal Genome Taxonomy Database (GTDB) genomes, and from five large-scale metagenomic projects: 583 marine metagenomes from Tara Oceans expedition (TARA), Malaspina expedition, Ocean Sampling Day (OSD), Global Ocean Sampling Expedition (GOS), complemented with 1,246 metagenomes from the Human Microbiome Project (HMP) phase I and II. The dataset is described in Vanni et al. 2020.<br>Additional and more detailed information about the dataset creation and some of its applications, can be found at https://dark.metagenomics.eu/.Related to the agnostosDB is the agnostos-wf, a snakemake workflow stored in the GitHub repository https://github.com/functional-dark-side/agnostos-wf. The agnostos-wf allows to search the agnostosDB gene cluster HMM profiles and/or to integrate new sequence data (genes/contigs) in it.
DOI: 10.21227/vg64-5m78
title: GIB-UVa ERP-BCI dataset

description: This dataset contains EEG signals from 73 subjects (42 healthy; 31 disabled) using an ERP-based speller to control differentbrain-computer interface (BCI) applications. The dataset is divided in 3 sets (i.e., training set, validation set and test set) according to Santamaría-Vázquez et al., 2020 (link to article):Training set: contains data from 34 healthy subjectsValidation set: contains data from 8 healthy subjectsTest set: contains data from 31 motor disabled subjectsAdditionally, you will find the results of the original studybroken down by subject, the code to build the deep-learning models used inSantamaría-Vázquez et al., 2020 (i.e., EEG-Inception, EEGNet, DeepConvNet, CNN-BLSTM)and useful scripts to load the dataset or train EEG-Inception.
DOI: 10.5287/bodleian:dmkxxqon8
title: Data for "Validity of Winkler's mattress model for thin elastomeric layers: Beyond Poisson's ratio"
DOI: 10.21227/hmn9-5879
title: Complete Repeated plus Mean

description: A small enhancement of mean baseline algorithm.
DOI: 10.5517/ccdc.csd.cc10jvbq
title: CCDC 939713: Experimental Crystal Structure Determination

description: Related Article: Cyril Pieri, Anirban Bhattacharjee, Alexandre Barrozo, Bruno Faure, Michel Giorgi, Jennifer Fize, Marius Réglier, Martin Field, Maylis Orio, Vincent Artero, Renaud Hardré|2020|Chem.Commun.|56|11106|doi:10.1039/D0CC04174B
DOI: 10.5517/ccdc.csd.cc2341bn
title: CCDC 1940300: Experimental Crystal Structure Determination

description: Related Article: Oleg K. Farat, Ivan V. Ananyev, Anatoliy L. Tatarets, Svetlana A. Varenichenko, Ekaterina V. Zaliznaya, Victor I. Markov|2020|J.Mol.Struct.|1224|129191|doi:10.1016/j.molstruc.2020.129191
DOI: 10.5517/ccdc.csd.cc2341cp
title: CCDC 1940301: Experimental Crystal Structure Determination

description: Related Article: Oleg K. Farat, Ivan V. Ananyev, Anatoliy L. Tatarets, Svetlana A. Varenichenko, Ekaterina V. Zaliznaya, Victor I. Markov|2020|J.Mol.Struct.|1224|129191|doi:10.1016/j.molstruc.2020.129191
DOI: 10.5517/ccdc.csd.cc234w8f
title: CCDC 1941104: Experimental Crystal Structure Determination

description: Related Article: Matthew H. Gieuw, Shuming Chen, Zhihai Ke, K. N. Houk, Ying-Yeung Yeung|2020|Chemical Science|11|9426|doi:10.1039/D0SC02567D
DOI: 10.5517/ccdc.csd.cc237zdr
title: CCDC 1944084: Experimental Crystal Structure Determination

description: Related Article: Giacomo Picci, Maciej Kubicki, Alessandra Garau, Vito Lippolis, Rita Mocci, Andrea Porcheddu, Roberto Quesada, Pier Carlo Ricci, M. Andrea Scorciapino, Claudia Caltagirone|2020|Chem.Commun.|56|11066|doi:10.1039/D0CC04090H
DOI: 10.5517/ccdc.csd.cc237zfs
title: CCDC 1944085: Experimental Crystal Structure Determination

description: Related Article: Giacomo Picci, Maciej Kubicki, Alessandra Garau, Vito Lippolis, Rita Mocci, Andrea Porcheddu, Roberto Quesada, Pier Carlo Ricci, M. Andrea Scorciapino, Claudia Caltagirone|2020|Chem.Commun.|56|11066|doi:10.1039/D0CC04090H
DOI: 10.5517/ccdc.csd.cc237zgt
title: CCDC 1944086: Experimental Crystal Structure Determination

description: Related Article: Giacomo Picci, Maciej Kubicki, Alessandra Garau, Vito Lippolis, Rita Mocci, Andrea Porcheddu, Roberto Quesada, Pier Carlo Ricci, M. Andrea Scorciapino, Claudia Caltagirone|2020|Chem.Commun.|56|11066|doi:10.1039/D0CC04090H
DOI: 10.5517/ccdc.csd.cc23fpgq
title: CCDC 1949573: Experimental Crystal Structure Determination

description: Related Article: Ya-Feng Si, Kai Sun, Xiao-Lan Chen, Xiao-Yang Fu, Yan Liu, Fan-Lin Zeng, Tao Shi, Ling-Bo Qu, Bing Yu|2020|Org.Lett.|22|6960|doi:10.1021/acs.orglett.0c02518
DOI: 10.5517/ccdc.csd.cc23bry5
title: CCDC 1946767: Experimental Crystal Structure Determination

description: Related Article: Yuanyuan Yue,  Huibin Shao,  Zhixian Wang,  Ke Wang,  Le Wang,  Kelei Zhuo,  Jianming Liu|2020|J.Org.Chem.|85|11265|doi:10.1021/acs.joc.0c01363
DOI: 10.5517/ccdc.csd.cc23brx4
title: CCDC 1946766: Experimental Crystal Structure Determination

description: Related Article: Yuanyuan Yue,  Huibin Shao,  Zhixian Wang,  Ke Wang,  Le Wang,  Kelei Zhuo,  Jianming Liu|2020|J.Org.Chem.|85|11265|doi:10.1021/acs.joc.0c01363
DOI: 10.5517/ccdc.csd.cc23kwn7
title: CCDC 1953609: Experimental Crystal Structure Determination

description: Related Article: Zhi-Wen Feng, Jing Li, Yu-Qin Jiang, Yu Tian, Gui-Qing Xu, Xin Shi, Qing-Jie Ding, Wei Li, Chun-Hua Ma, Bing Yu|2020|New J.Chem.|44|14786|doi:10.1039/D0NJ03386C
DOI: 10.6084/m9.figshare.12459056.v10
title: agnostosDB_dbf02445-20200519

description: The agnostosDB (dbf02445-20200519) is a comprehensive dataset of microbial gene clusters (GCs) from genomes and metagenomes. It contains 5,287,759 GCs and more than 280M genes coming from the bacterial and archaeal Genome Taxonomy Database (GTDB) genomes, and from five large-scale metagenomic projects: 583 marine metagenomes from Tara Oceans expedition (TARA), Malaspina expedition, Ocean Sampling Day (OSD), Global Ocean Sampling Expedition (GOS), complemented with 1,246 metagenomes from the Human Microbiome Project (HMP) phase I and II. The dataset is described in Vanni et al. 2020.<br>Additional and more detailed information about the dataset creation and some of its applications, can be found at https://dark.metagenomics.eu/.Related to the agnostosDB is the agnostos-wf, a snakemake workflow stored in the GitHub repository https://github.com/functional-dark-side/agnostos-wf. The agnostos-wf allows to search the agnostosDB gene cluster HMM profiles and/or to integrate new sequence data (genes/contigs) in it.
DOI: 10.5287/bodleian:ppekvq7vm
title: Data for paper "Turing Patterning in Stratified Domains"
DOI: 10.21227/1p4h-t106
title: GIB-UVa ERP-BCI dataset

description: This dataset contains EEG signals from 73 subjects (42 healthy; 31 disabled) using an ERP-based speller to control differentbrain-computer interface (BCI) applications. The dataset is divided in 3 sets (i.e., training set, validation set and test set) according to Santamaría-Vázquez et al., 2020 (link to article):Training set: contains data from 34 healthy subjectsValidation set: contains data from 8 healthy subjectsTest set: contains data from 31 motor disabled subjectsAdditionally, you will find the results of the original studybroken down by subject, the code to build the deep-learning models used inSantamaría-Vázquez et al., 2020 (i.e., EEG-Inception, EEGNet, DeepConvNet, CNN-BLSTM)and useful scripts to load the dataset or train EEG-Inception.
DOI: 10.6084/m9.figshare.12988319.v1
title: Zhao-2020-GRL-Data

description: This dataset is used for creating the figures in manuscript "Effects of delta erosion on carbon burial in a dammed river system".<br>
DOI: 10.6084/m9.figshare.12988319
title: Zhao-2020-GRL-Data

description: This dataset is used for creating the figures in manuscript "Effects of delta erosion on carbon burial in a dammed river system".<br>
DOI: 10.5066/p94n7gi9
title: Adult net-spinning caddisfly (Hydropsyche spp.) catch rates and morphology from large rivers of the southwestern United States, 2015-2016

description: These data describe the distribution and abundance of Hydropsyche, a widespread and diverse genus of net-spinning caddisflies, in the Colorado River Basin. Abundance data, measured as catch rates, were collected by citizen scientists using light traps. We subsampled Hydropsyche spp. from light trap samples collected throughout the Colorado River Basin and measured the lengths and widths of mesothoracic tibia and first tarsal segments. Samples and measurements were processed at Grand Canyon Monitoring and Research Center in Flagstaff, AZ.
DOI: 10.5281/zenodo.4043278
title: Simulering av karbonm

description: Simulering av
DOI: 10.6084/m9.figshare.12827939
title: readme2001.txt

description: Readme file corresponding to Pence <i>et al. Aging Med </i>2020 doi: 10.1002/agm2.12128<br>
DOI: 10.6084/m9.figshare.12827939.v1
title: readme2001.txt

description: Readme file corresponding to Pence <i>et al. Aging Med </i>2020 doi: 10.1002/agm2.12128<br>
DOI: 10.6084/m9.figshare.11808486
title: cmst.csv

description: Cell mito stress test data accompanying Pence <i>et al. Aging Med </i>2020 doi: 10.1002/agm2.12128
DOI: 10.6084/m9.figshare.11808486.v1
title: cmst.csv

description: Cell mito stress test data accompanying Pence <i>et al. Aging Med </i>2020 doi: 10.1002/agm2.12128
DOI: 10.6084/m9.figshare.11808489.v1
title: ddct.csv

description: Gene expression data from qPCR accompanying Pence <i>et al. Aging Med </i>2020 doi: 10.1002/agm2.12128
DOI: 10.6084/m9.figshare.11808489
title: ddct.csv

description: Gene expression data from qPCR accompanying Pence <i>et al. Aging Med </i>2020 doi: 10.1002/agm2.12128
DOI: 10.5519/qd.ofmuk141
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (95 records)
DOI: 10.6084/m9.figshare.11808495
title: flow_data.csv

description: Flow cytometry data accompanying Pence <i>et al. Aging Med </i>2020 doi: 10.1002/agm2.12128
DOI: 10.6084/m9.figshare.11808495.v1
title: flow_data.csv

description: Flow cytometry data accompanying Pence <i>et al. Aging Med </i>2020 doi: 10.1002/agm2.12128
DOI: 10.6084/m9.figshare.11808498
title: gdf15_plasma_pl2.csv

description: GDF-15 plasma ELISA data accompanying Pence <i>et al. Aging Med </i>2020 doi: 10.1002/agm2.12128
DOI: 10.6084/m9.figshare.11808498.v1
title: gdf15_plasma_pl2.csv

description: GDF-15 plasma ELISA data accompanying Pence <i>et al. Aging Med </i>2020 doi: 10.1002/agm2.12128
DOI: 10.6084/m9.figshare.12936293
title: Chitosan nanoparticles of Achillea millefolium L.

description: It contains various output files of chitosan nanoparticles of with different concentration of STPP.<br>Unedited and uncropped FT- IR graphs and TEM images of <i>A. millefolium</i> chitosan nanoparticles (AMCSNPs),<br>ZOI of antibacterial activity of AMCSNPs,<br>Absorption values of antiurolithiatic activity AMCSNPs.
DOI: 10.6084/m9.figshare.12936293.v3
title: Chitosan nanoparticles of Achillea millefolium L.

description: It contains various output files of chitosan nanoparticles of with different concentration of STPP.<br>Unedited and uncropped FT- IR graphs and TEM images of <i>A. millefolium</i> chitosan nanoparticles (AMCSNPs),<br>ZOI of antibacterial activity of AMCSNPs,<br>Absorption values of antiurolithiatic activity AMCSNPs.
DOI: 10.6084/m9.figshare.12936293.v2
title: Chitosan nanoparticles of Achillea millefolium L.

description: It contains various output files of chitosan nanoparticles of with different concentration of STPP.<br>Unedited and uncropped FT- IR graphs and TEM images of <i>A. millefolium</i> chitosan nanoparticles (AMCSNPs),<br>ZOI of antibacterial activity of AMCSNPs,<br>Absorption values of antiurolithiatic activity AMCSNPs.
DOI: 10.5281/zenodo.4043671
title: [ITU-T AI Challenge] Input/Output of project "Improving the capacity of IEEE 802.11 WLANs through Machine Learning"

description: This data set will be used by participants of the ITU-T AI Challenge. The data set contains: Input files: contain information such as nodes labels, nodes position, or channels used. These files have been used to simulate the behavior of random WLAN deployments under different channel bonding conditions. Output files: contain the output of the simulations - throughput per STA, RSSI that each STA receives from its AP, interference map from APs' point of view, average SINR experienced by each device during packet receptions. More details can be found on the official website of the challenge: https://www.upf.edu/web/wnrg/ai_challenge [Update - 28 July 2020] A script has been added to process the output files. In particular, the results of each deployment are separated into different files. Besides, different files are created according to the type of label/feature (throughput, airtime, RSSI map, and interference list). [Update - 22 September 2020] A new feature has been added to all the files in the data set. In particular, we have added the average Signal-to-Interference-plus-Noise Ration (SINR) experienced by each STA during packet receptions (including data and control packets). The SINR values in APs are marked as Inf because we focus on downlink transmissions only.
DOI: 10.5281/zenodo.4043221
title: Data set of trials perfomed in Pont Saint Martin Data Center, pilot of CATALYST Project

description: The zip file contains data sets being the input and/or output of the test case exploited in Pont Saint Martin Data Center, as pilot of CATALYST Project (H2020-EE-2016-2017)
DOI: 10.5281/zenodo.4043220
title: Data set of trials perfomed in Pont Saint Martin Data Center, pilot of CATALYST Project

description: The zip file contains data sets being the input and/or output of the test case exploited in Pont Saint Martin Data Center, as pilot of CATALYST Project (H2020-EE-2016-2017)
DOI: 10.26300/jfr4-5589
title: The diagnostic accuracy of digital PCR, ARMS and NGS for detecting KRAS mutation in cell-free DNA of patients with colorectal cancer: a systematic review and meta-analysis
DOI: 10.7284/138183
title: ADCP (Acoustic Doppler Current Profiler) data collected during research cruise KM2009 using a Hawaii UHDAS instrument system onboard the platform RV Kilo Moana

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/138207
title: Anemometer data collected during research cruise KM2009 using a RM Young 85106 instrument system onboard the platform RV Kilo Moana

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/138208
title: Anemometer data collected during research cruise KM2009 using a RM Young 85106 instrument system onboard the platform RV Kilo Moana

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/138206
title: Barometer data collected during research cruise KM2009 using a Vaisala PTB220 instrument system onboard the platform RV Kilo Moana

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/138205
title: Fluorometer data collected during research cruise KM2009 using a WET Labs WETStar instrument system onboard the platform RV Kilo Moana

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/138203
title: Gravimeter data collected during research cruise KM2009 using a Bell BGM-3 instrument system onboard the platform RV Kilo Moana

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/138204
title: Gyrocompass data collected during research cruise KM2009 using a Sperry NAVIGAT X MK 1 instrument system onboard the platform RV Kilo Moana

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/138209
title: INS (Inertial Navigation System) data collected during research cruise KM2009 using a Applanix POS/MV-320 V4 instrument system onboard the platform RV Kilo Moana

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/138184
title: Meteorological Station data collected during research cruise KM2009 using a Hawaii MET-System instrument system onboard the platform RV Kilo Moana

description: Processed data created by vessel technician during a Field_expedition
DOI: 10.7284/138202
title: Meteorological Station data collected during research cruise KM2009 using a Hawaii MET-System instrument system onboard the platform RV Kilo Moana

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/138185
title: pCO2 (Partial Pressure of Carbon Dioxide) data collected during research cruise KM2009 using a General Oceanics 8050 instrument system onboard the platform RV Kilo Moana

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/138200
title: TSG (Thermosalinograph) data collected during research cruise KM2009 using a Sea-Bird SBE-45 instrument system onboard the platform RV Kilo Moana

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.17030/uclan.data.00000267
title: Evidence for and Analysis of Multiple Hidden Coronal Strands in Cross-Sectional Emission Profiles: Further Results from NASA’s High-resolution Solar Coronal Imager
DOI: 10.6084/m9.figshare.12988502
title: Li et al-entropy_copula_network_expansion_data.rar

description: Daily precipitation data of 10 years (2007-2016) recorded by a precipitation monitoring network with 45 stations. The study area is located in the southwest Taihu Lake basin of China.<br>
DOI: 10.5281/zenodo.4043721
title: Amostragem Aleatória de Cursos de Engenharia Civil ofertados por IES públicas brasileiras

description: Amostragem aleatória de Cursos de Engenharia Civil ofertados por IES públicas brasileiras. Base de dados utilizada no artigo intitulado "Conforto ambiental em edificações: oferta do componente curricular nos cursos de graduação em engenharia civil do Brasil", publicado no Congresso Brasileiro de Educação em Engenharia 2020, sob a autoria de Gleidson Martins da Costa e Felipe Guilherme Melo. Extração dos dados do e-mec em abril de 2020.
description: Para mais informações, entrar em contato com Gleidson Martins da Costa (engcivil.gleidson@gmail.com) ou Felipe Guilherme Melo (felipe.guilherme@univasf.edu.br).
DOI: 10.5281/zenodo.4043720
title: Amostragem Aleatória de Cursos de Engenharia Civil ofertados por IES públicas brasileiras

description: Amostragem aleatória de Cursos de Engenharia Civil ofertados por IES públicas brasileiras. Base de dados utilizada no artigo intitulado "Conforto ambiental em edificações: oferta do componente curricular nos cursos de graduação em engenharia civil do Brasil", publicado no Congresso Brasileiro de Educação em Engenharia 2020, sob a autoria de Gleidson Martins da Costa e Felipe Guilherme Melo. Extração dos dados do e-mec em abril de 2020.
description: Para mais informações, entrar em contato com Gleidson Martins da Costa (engcivil.gleidson@gmail.com) ou Felipe Guilherme Melo (felipe.guilherme@univasf.edu.br).