cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25345/c5jc3d
title: MassIVE Reanalysis RMSV000000256.280 - CCMS ProteoCarta spectral library from MS-GF+ reanalysis of Paenibacillus polymyxa ATCC842 from DeNovo Peptide Identification Deep Learning Training Set [launched by cc1a3065088c4261a2d6cd271d16674a]
title: CCMS ProteoCarta spectral library from reanalysis of Paenibacillus polymyxa ATCC842 (MSV000083150/PXD010000).
DOI: 10.25345/c5p573
title: MassIVE Reanalysis RMSV000000256.279 - CCMS ProteoCarta spectral library from MS-GF+ reanalysis of Mycobacterium smegmatis from DeNovo Peptide Identification Deep Learning Training Set [launched by cc1a3065088c4261a2d6cd271d16674a]
title: CCMS ProteoCarta spectral library from reanalysis of Mycobacterium smegmatis (MSV000083150/PXD010000).
DOI: 10.25345/c5dp1h
title: MassIVE Reanalysis RMSV000000256.282 - CCMS ProteoCarta spectral library from MS-GF+ reanalysis of Paracoccus denitrificans from DeNovo Peptide Identification Deep Learning Training Set [launched by cc1a3065088c4261a2d6cd271d16674a]
title: CCMS ProteoCarta spectral library from reanalysis of Paracoccus denitrificans (MSV000083150/PXD010000).
DOI: 10.25345/c58z79
title: MassIVE Reanalysis RMSV000000256.283 - CCMS ProteoCarta spectral library from MS-GF+ reanalysis of Pseudomonas putida KT2440 from DeNovo Peptide Identification Deep Learning Training Set [launched by cc1a3065088c4261a2d6cd271d16674a]
title: CCMS ProteoCarta spectral library from reanalysis of Pseudomonas putida KT2440 (MSV000083150/PXD010000).
DOI: 10.25345/c55562
title: MassIVE Reanalysis RMSV000000256.284 - CCMS ProteoCarta spectral library from MS-GF+ reanalysis of Rhodobacteraceae bacterium HL-91 from DeNovo Peptide Identification Deep Learning Training Set [launched by cc1a3065088c4261a2d6cd271d16674a]
title: CCMS ProteoCarta spectral library from reanalysis of Rhodobacteraceae bacterium HL-91 (MSV000083150/PXD010000).
DOI: 10.25345/c51g2d
title: MassIVE Reanalysis RMSV000000256.286 - CCMS ProteoCarta spectral library from MS-GF+ reanalysis of Methylomicrobium alcaliphilum from DeNovo Peptide Identification Deep Learning Training Set [launched by cc1a3065088c4261a2d6cd271d16674a]
title: CCMS ProteoCarta spectral library from reanalysis of Methylomicrobium alcaliphilum (MSV000083150/PXD010000).
DOI: 10.25345/c5wp0g
title: MassIVE Reanalysis RMSV000000256.287 - CCMS ProteoCarta spectral library from MS-GF+ reanalysis of Prevotella ruminicola 23 ATCC 19189 from DeNovo Peptide Identification Deep Learning Training Set [launched by cc1a3065088c4261a2d6cd271d16674a]
title: CCMS ProteoCarta spectral library from reanalysis of Prevotella ruminicola 23 ATCC 19189 (MSV000083150/PXD010000).
DOI: 10.25345/c5rz7n
title: MassIVE Reanalysis RMSV000000256.285 - CCMS ProteoCarta spectral library from MS-GF+ reanalysis of Rhodococcus jostii RHA1 from DeNovo Peptide Identification Deep Learning Training Set [launched by cc1a3065088c4261a2d6cd271d16674a]
title: CCMS ProteoCarta spectral library from reanalysis of Rhodococcus jostii RHA1 (MSV000083150/PXD010000).
DOI: 10.25345/c5n551
title: MassIVE Reanalysis RMSV000000256.288 - CCMS ProteoCarta spectral library from MS-GF+ reanalysis of Ruminococcus gnavus from DeNovo Peptide Identification Deep Learning Training Set [launched by cc1a3065088c4261a2d6cd271d16674a]
title: CCMS ProteoCarta spectral library from reanalysis of Ruminococcus gnavus (MSV000083150/PXD010000).
DOI: 10.25345/c5hg34
title: MassIVE Reanalysis RMSV000000256.289 - CCMS ProteoCarta spectral library from MS-GF+ reanalysis of Rhodopseudomonas palustris from DeNovo Peptide Identification Deep Learning Training Set [launched by cc1a3065088c4261a2d6cd271d16674a]
title: CCMS ProteoCarta spectral library from reanalysis of Rhodopseudomonas palustris (MSV000083150/PXD010000).
DOI: 10.25345/c5cn9w
title: MassIVE Reanalysis RMSV000000256.290 - CCMS ProteoCarta spectral library from MS-GF+ reanalysis of Shewanella oneidensis MR-1 from DeNovo Peptide Identification Deep Learning Training Set [launched by cc1a3065088c4261a2d6cd271d16674a]
title: CCMS ProteoCarta spectral library from reanalysis of Shewanella oneidensis MR-1 (MSV000083150/PXD010000).
DOI: 10.25345/c57z8c
title: MassIVE Reanalysis RMSV000000256.291 - CCMS ProteoCarta spectral library from MS-GF+ reanalysis of Stigmatella aurantiaca DW4_3-1 from DeNovo Peptide Identification Deep Learning Training Set [launched by cc1a3065088c4261a2d6cd271d16674a]
title: CCMS ProteoCarta spectral library from reanalysis of Stigmatella aurantiaca DW4_3-1 (MSV000083150/PXD010000).
DOI: 10.25345/c54540
title: MassIVE Reanalysis RMSV000000346.46 - CCMS ProteoCarta spectral library from MS-GF+ reanalysis of Enterobacter cloacae from Fast and accurate bacterial species identification in biological samples using LC-MS/MS mass spectrometry and machine learning (DDA dataset) [launched by 548551ef615741afb9e729659cd9113b]
title: CCMS ProteoCarta spectral library from reanalysis of Enterobacter cloacae (MSV000083784/PXD013885).
DOI: 10.25345/c50g3g
title: MassIVE Reanalysis RMSV000000346.47 - CCMS ProteoCarta spectral library from MS-GF+ reanalysis of Escherichia coli from Fast and accurate bacterial species identification in biological samples using LC-MS/MS mass spectrometry and machine learning (DDA dataset) [launched by 548551ef615741afb9e729659cd9113b]
title: CCMS ProteoCarta spectral library from reanalysis of Escherichia coli (MSV000083784/PXD013885).
DOI: 10.25345/c5vp05
title: MassIVE Reanalysis RMSV000000346.49 - CCMS ProteoCarta spectral library from MS-GF+ reanalysis of Enterococcus faecalis from Fast and accurate bacterial species identification in biological samples using LC-MS/MS mass spectrometry and machine learning (DDA dataset) [launched by 548551ef615741afb9e729659cd9113b]
title: CCMS ProteoCarta spectral library from reanalysis of Enterococcus faecalis (MSV000083784/PXD013885).
DOI: 10.25345/c5qz93
title: MassIVE Reanalysis RMSV000000346.48 - CCMS ProteoCarta spectral library from MS-GF+ reanalysis of Citrobacter freundii from Fast and accurate bacterial species identification in biological samples using LC-MS/MS mass spectrometry and machine learning (DDA dataset) [launched by 548551ef615741afb9e729659cd9113b]
title: CCMS ProteoCarta spectral library from reanalysis of Citrobacter freundii (MSV000083784/PXD013885).
DOI: 10.25345/c5m563
title: MassIVE Reanalysis RMSV000000346.52 - CCMS ProteoCarta spectral library from MS-GF+ reanalysis of Klebsiella oxytoca from Fast and accurate bacterial species identification in biological samples using LC-MS/MS mass spectrometry and machine learning (DDA dataset) [launched by 548551ef615741afb9e729659cd9113b]
title: CCMS ProteoCarta spectral library from reanalysis of Klebsiella oxytoca (MSV000083784/PXD013885).
DOI: 10.25345/c5gg3t
title: MassIVE Reanalysis RMSV000000346.53 - CCMS ProteoCarta spectral library from MS-GF+ reanalysis of Klebsiella aerogenes from Fast and accurate bacterial species identification in biological samples using LC-MS/MS mass spectrometry and machine learning (DDA dataset) [launched by 548551ef615741afb9e729659cd9113b]
title: CCMS ProteoCarta spectral library from reanalysis of Klebsiella aerogenes (MSV000083784/PXD013885).
DOI: 10.25345/c56z82
title: MassIVE Reanalysis RMSV000000346.51 - CCMS ProteoCarta spectral library from MS-GF+ reanalysis of Staphylococcus haemolyticus from Fast and accurate bacterial species identification in biological samples using LC-MS/MS mass spectrometry and machine learning (DDA dataset) [launched by 548551ef615741afb9e729659cd9113b]
title: CCMS ProteoCarta spectral library from reanalysis of Staphylococcus haemolyticus (MSV000083784/PXD013885).
DOI: 10.25345/c5br9m
title: MassIVE Reanalysis RMSV000000346.50 - CCMS ProteoCarta spectral library from MS-GF+ reanalysis of Staphylococcus aureus from Fast and accurate bacterial species identification in biological samples using LC-MS/MS mass spectrometry and machine learning (DDA dataset) [launched by 548551ef615741afb9e729659cd9113b]
title: CCMS ProteoCarta spectral library from reanalysis of Staphylococcus aureus (MSV000083784/PXD013885).
DOI: 10.25345/c5384q
title: MassIVE Reanalysis RMSV000000346.54 - CCMS ProteoCarta spectral library from MS-GF+ reanalysis of Klebsiella pneumoniae from Fast and accurate bacterial species identification in biological samples using LC-MS/MS mass spectrometry and machine learning (DDA dataset) [launched by 548551ef615741afb9e729659cd9113b]
title: CCMS ProteoCarta spectral library from reanalysis of Klebsiella pneumoniae (MSV000083784/PXD013885).
DOI: 10.25345/c5zg2s
title: MassIVE Reanalysis RMSV000000346.55 - CCMS ProteoCarta spectral library from MS-GF+ reanalysis of Pseudomonas aeruginosa from Fast and accurate bacterial species identification in biological samples using LC-MS/MS mass spectrometry and machine learning (DDA dataset) [launched by 548551ef615741afb9e729659cd9113b]
title: CCMS ProteoCarta spectral library from reanalysis of Pseudomonas aeruginosa (MSV000083784/PXD013885).
DOI: 10.25345/c5tr9z
title: MassIVE Reanalysis RMSV000000346.57 - CCMS ProteoCarta spectral library from MS-GF+ reanalysis of Streptococcus agalactiae from Fast and accurate bacterial species identification in biological samples using LC-MS/MS mass spectrometry and machine learning (DDA dataset) [launched by 548551ef615741afb9e729659cd9113b]
title: CCMS ProteoCarta spectral library from reanalysis of Streptococcus agalactiae (MSV000083784/PXD013885).
DOI: 10.25345/c5pz6n
title: MassIVE Reanalysis RMSV000000346.56 - CCMS ProteoCarta spectral library from MS-GF+ reanalysis of Staphylococcus saprophyticus from Fast and accurate bacterial species identification in biological samples using LC-MS/MS mass spectrometry and machine learning (DDA dataset) [launched by 548551ef615741afb9e729659cd9113b]
title: CCMS ProteoCarta spectral library from reanalysis of Staphylococcus saprophyticus (MSV000083784/PXD013885).
DOI: 10.25345/c5k85f
title: MassIVE Reanalysis RMSV000000346.60 - CCMS ProteoCarta spectral library from MS-GF+ reanalysis of Streptococcus mitis from Fast and accurate bacterial species identification in biological samples using LC-MS/MS mass spectrometry and machine learning (DDA dataset) [launched by 548551ef615741afb9e729659cd9113b]
title: CCMS ProteoCarta spectral library from reanalysis of Streptococcus mitis (MSV000083784/PXD013885).
DOI: 10.25345/c5fg1r
title: MassIVE Reanalysis RMSV000000346.59 - CCMS ProteoCarta spectral library from MS-GF+ reanalysis of Staphylococcus epidermidis from Fast and accurate bacterial species identification in biological samples using LC-MS/MS mass spectrometry and machine learning (DDA dataset) [launched by 548551ef615741afb9e729659cd9113b]
title: CCMS ProteoCarta spectral library from reanalysis of Staphylococcus epidermidis (MSV000083784/PXD013885).
DOI: 10.15482/usda.adc/1523339
title: The Bronson Files, Dataset 4, Field 105, 2013
DOI: 10.25345/c59s1m
title: MassIVE Reanalysis RMSV000000346.58 - CCMS ProteoCarta spectral library from MS-GF+ reanalysis of Proteus mirabilis from Fast and accurate bacterial species identification in biological samples using LC-MS/MS mass spectrometry and machine learning (DDA dataset) [launched by 548551ef615741afb9e729659cd9113b]
title: CCMS ProteoCarta spectral library from reanalysis of Proteus mirabilis (MSV000083784/PXD013885).
DOI: 10.25345/c55z7c
title: MassIVE Reanalysis RMSV000000256.292 - CCMS ProteoCarta spectral library from MS-GF+ reanalysis of Streptomyces griseorubens from DeNovo Peptide Identification Deep Learning Training Set [launched by cc1a3065088c4261a2d6cd271d16674a]
title: CCMS ProteoCarta spectral library from reanalysis of Streptomyces griseorubens (MSV000083150/PXD010000).
DOI: 10.25345/c5285s
title: MassIVE Reanalysis RMSV000000256.293 - CCMS ProteoCarta spectral library from MS-GF+ reanalysis of Sulfobacillus thermosulfidooxidans from DeNovo Peptide Identification Deep Learning Training Set [launched by cc1a3065088c4261a2d6cd271d16674a]
title: CCMS ProteoCarta spectral library from reanalysis of Sulfobacillus thermosulfidooxidans (MSV000083150/PXD010000).
DOI: 10.25345/c5xg2g
title: MassIVE Reanalysis RMSV000000256.295 - CCMS ProteoCarta spectral library from MS-GF+ reanalysis of Synechococcus elongatus PCC7942 from DeNovo Peptide Identification Deep Learning Training Set [launched by cc1a3065088c4261a2d6cd271d16674a]
title: CCMS ProteoCarta spectral library from reanalysis of Synechococcus elongatus PCC7942 (MSV000083150/PXD010000).
DOI: 10.25345/c5ss1z
title: MassIVE Reanalysis RMSV000000256.294 - CCMS ProteoCarta spectral library from MS-GF+ reanalysis of Streptomyces venezuelae from DeNovo Peptide Identification Deep Learning Training Set [launched by cc1a3065088c4261a2d6cd271d16674a]
title: CCMS ProteoCarta spectral library from reanalysis of Streptomyces venezuelae (MSV000083150/PXD010000).
DOI: 10.25345/c5nz83
title: MassIVE Reanalysis RMSV000000256.296 - CCMS ProteoCarta spectral library from MS-GF+ reanalysis of Streptococcus agalactiae from DeNovo Peptide Identification Deep Learning Training Set [launched by cc1a3065088c4261a2d6cd271d16674a]
title: CCMS ProteoCarta spectral library from reanalysis of Streptococcus agalactiae (MSV000083150/PXD010000).
DOI: 10.5281/zenodo.5539888
title: IISWC 2021 Characterizing and Mitigating the I/O Scalability Challenges for Serverless Applications (Dataset and Scripts)

description: As serverless computing paradigm becomes widespread, it is important to understand the I/O performance characteristics on serverless computing platforms. To the best of our knowledge, we provide the first study that analyzes the observed I/O performance characteristics -- some expected and some unexpected findings that reveal the hidden, complex interactions between the application I/O characteristics, the serverless computing platform, and the storage engines. The goal of this analysis is to provide data-driven guidelines to serverless programmers and system designers about the performance trade-offs and pitfalls of serverless I/O.
DOI: 10.5281/zenodo.5507635
title: IISWC 2021 Characterizing and Mitigating the I/O Scalability Challenges for Serverless Applications (Dataset and Scripts)

description: As serverless computing paradigm becomes widespread, it is important to understand the I/O performance characteristics on serverless computing platforms. To the best of our knowledge, we provide the first study that analyzes the observed I/O performance characteristics -- some expected and some unexpected findings that reveal the hidden, complex interactions between the application I/O characteristics, the serverless computing platform, and the storage engines. The goal of this analysis is to provide data-driven guidelines to serverless programmers and system designers about the performance trade-offs and pitfalls of serverless I/O.
DOI: 10.6084/m9.figshare.16702438
title: The News Sharing Gap / Compartilhando Mundos Distintos (Data Research/ Dados codificados da pesquisa)

description: Coded database related to the paper "The news sharing gap"
DOI: 10.6084/m9.figshare.16702438.v1
title: The News Sharing Gap / Compartilhando Mundos Distintos (Data Research/ Dados codificados da pesquisa)

description: Coded database related to the paper "The news sharing gap"
DOI: 10.5281/zenodo.5535800
title: Global Vkontakte User Dataset

description: Online Social Networks enable individuals to present a version of themselves to their immediate social circle and beyond. Those presentations express cultural factors such as an individuals gender, location, political, philosophical and religions values. Obtaining such data; however, is often challenging on the aggregate level as it typically involves negotiations with private entities and ownership restrictions. This study presents a dataset of 563,615,517 user accounts from the platform Vkontakte, an online social network collected in June of 2020. Vkontakte is a social media platform similar in nature to Facebook that allows individuals to connect with other users, communicate with them through public and private messages, as well as create public personas of themselves. This dataset can be used to perform cross-national and cross-cultural analyses of online culture from a large proportion of the world.
DOI: 10.5281/zenodo.5535799
title: Global Vkontakte User Dataset

description: Online Social Networks enable individuals to present a version of themselves to their immediate social circle and beyond. Those presentations express cultural factors such as an individuals gender, location, political, philosophical and religions values. Obtaining such data; however, is often challenging on the aggregate level as it typically involves negotiations with private entities and ownership restrictions. This study presents a dataset of 563,615,517 user accounts from the platform Vkontakte, an online social network collected in June of 2020. Vkontakte is a social media platform similar in nature to Facebook that allows individuals to connect with other users, communicate with them through public and private messages, as well as create public personas of themselves. This dataset can be used to perform cross-national and cross-cultural analyses of online culture from a large proportion of the world.
DOI: 10.34740/kaggle/dsv/2663451
title: US counties COVID 19 dataset
DOI: 10.5517/ccdc.csd.cc1p9x0x
title: CCDC 1558649: Experimental Crystal Structure Determination

description: Related Article: Yongan Feng, Sitong Chen, Zhimin Li, Tonglai Zhang|2022|Chem.Eng.Journal|429|132186|doi:10.1016/j.cej.2021.132186
DOI: 10.5517/ccdc.csd.cc1p9x1y
title: CCDC 1558650: Experimental Crystal Structure Determination

description: Related Article: Yongan Feng, Sitong Chen, Zhimin Li, Tonglai Zhang|2022|Chem.Eng.Journal|429|132186|doi:10.1016/j.cej.2021.132186
DOI: 10.5517/ccdc.csd.cc1zvqsb
title: CCDC 1842943: Experimental Crystal Structure Determination

description: Related Article: H. Purandara, B.M. Santhosh, S. Raghavendra, Sabine Foro, Prashant Patil, S.M. Dharmaprakash, P. Vishwanatha|2022|J.Mol.Struct.|1248|131492|doi:10.1016/j.molstruc.2021.131492
DOI: 10.5517/ccdc.csd.cc26b16t
title: CCDC 2035435: Experimental Crystal Structure Determination

description: Related Article: Elif Avcu Altiparmak, Sibel Yazar, Namık Özdemir, Tulay Bal-Demirci, Bahri Ülküseven|2021|Polyhedron|209|115457|doi:10.1016/j.poly.2021.115457
DOI: 10.5517/ccdc.csd.cc26j31x
title: CCDC 2041258: Experimental Crystal Structure Determination

description: Related Article: Abdellah Kaiba, Mohammed H. Geesi, Yassine Riadi, Elmutasim O. Ibnouf, Talal A. Aljohani, Philippe Guionneau|2021|J.Solid State Chem.|304|122587|doi:10.1016/j.jssc.2021.122587
DOI: 10.15151/esrf-es-562617470
title: Structural Biology of Macromolecules and Macromolecular complexes from India

description: Structural biology research groups located in India constitute the INDIA-BAG and will utilize MX, SAXS and CryoEM to study different biological macromolecules. Together, these groups address multiple pathways in animals, plants, bacteria and fungi. These studies will provide fundamental mechanistic insight regarding different processes critical for the survival and propagation of the relevant organism. Many groups in the BAG study proteins from pathogens to identify novel intervention points that can be the targeted with small molecule inhibitors to inhibit the growth of the corresponding infectious agents. There are more than 50 groups that are part of this BAG and the allocated beamtime will be available for over 500 young researchers. A brief description of all the research groups is provided in the global summary and a summary of the research contributions involving data collected at ESRF is provided in the last BAG report.
DOI: 10.6084/m9.figshare.16702519
title: PONE-D-21-11415-metadata.zip

description: adni_meta_data_plosone.xlsx,dauh_meta_data_plosone.xlsx,and Meta Calculation Reference.docxincluded.
DOI: 10.6084/m9.figshare.16702519.v1
title: PONE-D-21-11415-metadata.zip

description: adni_meta_data_plosone.xlsx,dauh_meta_data_plosone.xlsx,and Meta Calculation Reference.docxincluded.
DOI: 10.5517/ccdc.csd.cc27k0d7
title: CCDC 2071928: Experimental Crystal Structure Determination

description: Related Article: Dong Guk Nam, Su Yong Shim, Hye-Min Jeong, Do Hyun Ryu|2021|Angew.Chem.,Int.Ed.|60|22236|doi:10.1002/anie.202108454
DOI: 10.5517/ccdc.csd.cc27v69m
title: CCDC 2080760: Experimental Crystal Structure Determination

description: Related Article: Tiantian Wen, Mingliang Wang, Jie Gao, Lanzhi Wang|2022|Mater.Chem.Phys.|275|125242|doi:10.1016/j.matchemphys.2021.125242
DOI: 10.5517/ccdc.csd.cc27v6lx
title: CCDC 2080769: Experimental Crystal Structure Determination

description: Related Article: Tiantian Wen, Mingliang Wang, Jie Gao, Lanzhi Wang|2022|Mater.Chem.Phys.|275|125242|doi:10.1016/j.matchemphys.2021.125242
DOI: 10.5517/ccdc.csd.cc27ypzw
title: CCDC 2084129: Experimental Crystal Structure Determination

description: Related Article: Steve Ullmann, Martin Börner, Axel Kahnt, Bernd Abel, Berthold Kersting|2021|Eur.J.Inorg.Chem.|2021|3691|doi:10.1002/ejic.202100442
DOI: 10.25430/researchdata.cab.unipd.it.00000544
title: Bereavement between stressful life experiences and complicated spiritual grief: Italian validation of a constructionist assessment

description: Data and legenda
DOI: 10.17632/k9ngmj2fnd.1
title: Data for: Comprehensive characterizations of HULIS in fresh and secondary emissions of crop straw burning

description: it mainly contains the data of HULIS-C/WSOC、HULIS-C/OC、MAE and E2/E3.
DOI: 10.17632/s78nsw6v32.1
title: Target miRNAs of Hsa_circ_0107593 in Cervical Cancer

description: This dataset reports the predicted miRNA targets of Hsa_circ_0107593 in Cervical Cancer.
DOI: 10.17632/52gwfxwpbd.1
title: Simulation of ADS-B data considering integrity parameters

description: Data obtained from the simulation of a computational model of air traffic control considering two aircraft in cruise. For each collection, a minimum of 10,000 maneuvers were verified, in which metrics are obtained to check for possible route conflicts in order to carry out the safety assessment of the maneuvers.
Recorded data for the assignment of the discipline PCS5787 (Data Science) of PPGEE.
DOI: 10.17632/ww35ghv6gx.1
title: ASSOCIATIONS BETWEEN ENVIRONMENTAL AND SOCIODEMOGRAPHIC DATA AND HEPATITIS-A TRANSMISSION IN THE STATE OF PARÁ, BRAZIL

description: This dataset encompasses sociodemographic, environmental, and epidemiological data that were derived and respectively applied in the manuscript entitled "ASSOCIATIONS BETWEEN ENVIRONMENTAL AND SOCIODEMOGRAPHIC DATA AND HEPATITIS-A TRANSMISSION IN THE STATE OF PARÁ, BRAZIL" - hereafter cited as the referenced manuscript.

# General description of these datasets:

The sociodemographic and epidemiological datasets have no personal information.

The respective datasets were derived for the state of Pará (Brazil), from  01/01/2008 up to 31/12/2017.

All data is aggregated at the municipality level. 

# Data access:

The provided dataset is organized in two folders: 1) "Non-normalized"; 2) "Normalized".

The difference between folders is that the data from the second folder (normalized) was derived from the normalization of the second (the original data). This normalization approach was applied to facilitate some statistical analysis and machine learning algorithms applied in the referenced manuscript; and, here the two datasets have been uploaded for easier accessibility and reproducibility.
DOI: 10.5281/zenodo.5539976
title: Dataset Network Slicing - 5G

description: Dataset com métricas de redes com rótulo para três slices.
DOI: 10.5281/zenodo.5539975
title: Dataset Network Slicing - 5G

description: Dataset com métricas de redes com rótulo para três slices.