cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.5774093
title: datasets

description: Datasets utilizados no experimento do trabalho final da disciplina "PCS5787 - Ciências dos dados" do Programa de Pós Graduação de Engenharia Elétrica (PPGEE) da Escola Politécnica da Universidade de São Paulo (POLI/USP). Dataset "INMET" apresenta os dados meteorológicos horários coletados por estação meteorológica localizada na cidade de Alto Paraíso de Goiás, estado de Goiás, Brasil, obtido na base de dados "BDMEP" do Instituto Nacional de Meteorologia (INMET) através do endereço eletrônico https://bdmep.inmet.gov.br/. Este dataset apresenta 20 atributos com periodicidade horária, sendo 18 meteorológicos e 2 relacionados ao hardware da estação meteorológica. Os dados coletados são dos anos de 2007 até 2021. Dataset "Queimadas" apresenta os focos de incêndios florestais captados por 27 diferentes satélites ou sensores de satélites na cidade de Alto Paraíso de Goiás, estado de Goiás, Brasil, obtidos na base de dados "BDQueimadas" do Instituto Nacional de Pesquisas Espaciais (INPE) através do endereço eletrônico https://queimadas.dgi.inpe.br/. Este dataset apresenta 11 atributos com periodicidade horária, sendo 6 relacionados à localidade na qual foi detectado o foco de incêndio, 2 relacionados à ocorrência de chuva na região e 2 relacionados ao foco de incêndio detectado. Os dados coletados são dos anos de 2007 até 2021 Dataset "Agregado" é o dataset gerado pelos autores do experimento, sendo este a união dos dois datasets anteriores. As informações referentes aos focos de queimadas do dataset "Queimadas" do BDQueimadas/INPE foram tratadas e transformadas em uma única informação referente à quantidade total de focos de incêndios florestais capturados pelos 27 satélites ou sensores para cada dia e hora das coletas das informações meteorológicas do dataset "INMET" (BDMEP/INMET).
DOI: 10.5281/zenodo.5774092
title: datasets

description: Datasets utilizados no experimento do trabalho final da disciplina "PCS5787 - Ciências dos dados" do Programa de Pós Graduação de Engenharia Elétrica (PPGEE) da Escola Politécnica da Universidade de São Paulo (POLI/USP). Dataset "INMET" apresenta os dados meteorológicos horários coletados por estação meteorológica localizada na cidade de Alto Paraíso de Goiás, estado de Goiás, Brasil, obtido na base de dados "BDMEP" do Instituto Nacional de Meteorologia (INMET) através do endereço eletrônico https://bdmep.inmet.gov.br/. Este dataset apresenta 20 atributos com periodicidade horária, sendo 18 meteorológicos e 2 relacionados ao hardware da estação meteorológica. Os dados coletados são dos anos de 2007 até 2021. Dataset "Queimadas" apresenta os focos de incêndios florestais captados por 27 diferentes satélites ou sensores de satélites na cidade de Alto Paraíso de Goiás, estado de Goiás, Brasil, obtidos na base de dados "BDQueimadas" do Instituto Nacional de Pesquisas Espaciais (INPE) através do endereço eletrônico https://queimadas.dgi.inpe.br/. Este dataset apresenta 11 atributos com periodicidade horária, sendo 6 relacionados à localidade na qual foi detectado o foco de incêndio, 2 relacionados à ocorrência de chuva na região e 2 relacionados ao foco de incêndio detectado. Os dados coletados são dos anos de 2007 até 2021 Dataset "Agregado" é o dataset gerado pelos autores do experimento, sendo este a união dos dois datasets anteriores. As informações referentes aos focos de queimadas do dataset "Queimadas" do BDQueimadas/INPE foram tratadas e transformadas em uma única informação referente à quantidade total de focos de incêndios florestais capturados pelos 27 satélites ou sensores para cada dia e hora das coletas das informações meteorológicas do dataset "INMET" (BDMEP/INMET).
DOI: 10.34740/kaggle/dsv/2915433
title: Cryptocurrency extra data - Cardano
DOI: 10.5281/zenodo.5774113
title: Earthquake Scenario Loss Testing Repository

description: This repository provides a set of OpenQuake-engine input files required to run past earthquake scenarios for the testing of risk models. These scenarios can be run using either earthquake rupture models or ShakeMaps.
DOI: 10.5281/zenodo.5774118
title: The Pencil Eraser Swab Technique to Quantify Cutibacterium acnes on Shoulder Skin

description: Underlying research data for article publication in Journal of Bone and Joint Infection
DOI: 10.5281/zenodo.5774117
title: The Pencil Eraser Swab Technique to Quantify Cutibacterium acnes on Shoulder Skin

description: Underlying research data for article publication in Journal of Bone and Joint Infection
DOI: 10.6084/m9.figshare.17162093
title: Teacher Beliefs, Personal Theories and Conceptions of Assessment Literacy - A Tertiary EFL Perspective

description: The qualitative data was based on semi-structured interviews conducted with 12 tertiary EFL teachers working in 3 higher education institutes in the Easter Province of KSA. All required research ethical procedures before and after collecting data were followed. These included institutional and participant consent for data collection. Also, other ethical procedures such as participant anonymity, data confidentiality and data protection were ensured. The data was analyzed using thematic analysis approach, which included data reduction in the form of codes, subcategories, categories and themes.
DOI: 10.6084/m9.figshare.17162093.v1
title: Teacher Beliefs, Personal Theories and Conceptions of Assessment Literacy - A Tertiary EFL Perspective

description: The qualitative data was based on semi-structured interviews conducted with 12 tertiary EFL teachers working in 3 higher education institutes in the Easter Province of KSA. All required research ethical procedures before and after collecting data were followed. These included institutional and participant consent for data collection. Also, other ethical procedures such as participant anonymity, data confidentiality and data protection were ensured. The data was analyzed using thematic analysis approach, which included data reduction in the form of codes, subcategories, categories and themes.
DOI: 10.5281/zenodo.5707222
title: Continuous and proactive software architecture evaluation: An IoT case -- Dataset generated from iFogSim

description: There will always be a trade-off between using the simulators and physical IoT devices in experimentation and data generation. This is due to the high cost of the actual deployment of IoT devices as compared to simulators. However, some companies, such as Amazon, IBM, and Intel, are motivating the need for having IoT simulation instrumenting what-if test scenarios, typically used during the architecture analysis and refinement stages to evaluate the response and sensitivity of the architecture to these tests. Additionally, many researchers are currently looking for an IoT dataset that provides QoS for IoT architectures. This work provides a dataset well-tested for the most important quality attributes when evaluating IoT architectures. In particular, this work used iFogSim to generate QoS of various IoT architectures in the form of Response Time, Energy consumption, and network usage. After that, MOA framework was used to generate the Forecast QoS values using different time series forecasting algorithms.
DOI: 10.5281/zenodo.5707221
title: Continuous and proactive software architecture evaluation: An IoT case -- Dataset generated from iFogSim

description: There will always be a trade-off between using the simulators and physical IoT devices in experimentation and data generation. This is due to the high cost of the actual deployment of IoT devices as compared to simulators. However, some companies, such as Amazon, IBM, and Intel, are motivating the need for having IoT simulation instrumenting what-if test scenarios, typically used during the architecture analysis and refinement stages to evaluate the response and sensitivity of the architecture to these tests. Additionally, many researchers are currently looking for an IoT dataset that provides QoS for IoT architectures. This work provides a dataset well-tested for the most important quality attributes when evaluating IoT architectures. In particular, this work used iFogSim to generate QoS of various IoT architectures in the form of Response Time, Energy consumption, and network usage. After that, MOA framework was used to generate the Forecast QoS values using different time series forecasting algorithms.
DOI: 10.34740/kaggle/dsv/2915625
title: Cryptocurrency extra data - IOTA
DOI: 10.6084/m9.figshare.17162249
title: Data for Figures for Elsden and Wright, 2022

description: IDL save files to produce important figures in Elsden and Wright, 2022, JGR - Polarisation Properties of 3D Field Line Resonances.
DOI: 10.6084/m9.figshare.17162249.v1
title: Data for Figures for Elsden and Wright, 2022

description: IDL save files to produce important figures in Elsden and Wright, 2022, JGR - Polarisation Properties of 3D Field Line Resonances.
DOI: 10.6084/m9.figshare.17162468
title: Hyperspectral Prior

description: Gaussian and Sparse Prior for the hyperspectral image dataset
DOI: 10.6084/m9.figshare.17162462
title: Hyperspectral Prior

description: The saved prior (Gaussian and Sparse) on patches of hyperspectral images
DOI: 10.6084/m9.figshare.17162462.v2
title: Hyperspectral Prior

description: The saved prior (Gaussian and Sparse) on patches of hyperspectral images
DOI: 10.6084/m9.figshare.17162462.v1
title: Hyperspectral Prior

description: The saved prior (Gaussian and Sparse) on patches of hyperspectral images
DOI: 10.21227/644c-hd58
title: MPSC-rPPG

description: The MPSC-rPPG dataset comprises photoplethysmograph (rPPG) data with the PPG ground truth, making it a perfect dataset to evaluate various algorithms for extracting PPG, measuring heart rate, heart rate variability from video. The dataset contains facial videos and Blood Volume Pulse (BVP) data captured concurrently
DOI: 10.5281/zenodo.5774251
title: DRM-labeled HIV-1 protease sequence dataset

description: An HIV-1 protease dataset with labeled DRMs derived from the Stanford HIV Drug Resistance Database<sup>1,2</sup> is provided. It is in <em>fasta</em> format with major protease drug resistance mutations (as defined by Wensing et al.<sup>3</sup>) provided in the sequence name section (following the "&gt;" symbol) as a comma-separated list. The dataset was used in the following paper: "Ahmed A., de Souza D. R., Link R. W., Nonnemacher M. R., Wigdahl B., Dampier W. Design of a SHERLOCK-based low resource screening assay for HIV-1 drug resistance, in preparation, 2021. "
description: {"references": ["Soo-Yon Rhee, Matthew J. Gonzales, Rami Kantor, Bradley J. Betts, Jaideep Ravela, and Robert W. Shafer (2003) Human immunodeficiency virus reverse transcriptase and protease sequence database. Nucleic Acids Research, 31(1), 298-303.", "Shafer RW(2006). Rationale and Uses of a Public HIV Drug-Resistance Database. Journal of Infectious Diseases 194 Suppl 1:S51-8", "Wensing, A. M., Calvez, V., Ceccherini-Silberstein, F., Charpentier, C., G\u00fcnthard, H. F., Paredes, R., Shafer, R. W., & Richman, D. D. (2019). 2019 update of the drug resistance mutations in HIV-1. Topics in antiviral medicine, 27(3), 111\u2013121.", "Ahmed, Armaan, De Souza, Diehl R., Link, Robert W., Nonnemacher, Michael R., Wigdahl, Brian, & Dampier, Will. (2021). Design of a SHERLOCK-based low resource screening assay for HIV-1 drug resistance. Discovery Day 2021, Philadelphia, PA, USA. Zenodo. https://doi.org/10.5281/zenodo.5719853"]}
DOI: 10.5281/zenodo.5774250
title: DRM-labeled HIV-1 protease sequence dataset

description: An HIV-1 protease dataset with labeled DRMs derived from the Stanford HIV Drug Resistance Database<sup>1,2</sup> is provided. It is in <em>fasta</em> format with major protease drug resistance mutations (as defined by Wensing et al.<sup>3</sup>) provided in the sequence name section (following the "&gt;" symbol) as a comma-separated list. The dataset was used in the following paper: "Ahmed A., de Souza D. R., Link R. W., Nonnemacher M. R., Wigdahl B., Dampier W. Design of a SHERLOCK-based low resource screening assay for HIV-1 drug resistance, in preparation, 2021. "
description: {"references": ["Soo-Yon Rhee, Matthew J. Gonzales, Rami Kantor, Bradley J. Betts, Jaideep Ravela, and Robert W. Shafer (2003) Human immunodeficiency virus reverse transcriptase and protease sequence database. Nucleic Acids Research, 31(1), 298-303.", "Shafer RW(2006). Rationale and Uses of a Public HIV Drug-Resistance Database. Journal of Infectious Diseases 194 Suppl 1:S51-8", "Wensing, A. M., Calvez, V., Ceccherini-Silberstein, F., Charpentier, C., G\u00fcnthard, H. F., Paredes, R., Shafer, R. W., & Richman, D. D. (2019). 2019 update of the drug resistance mutations in HIV-1. Topics in antiviral medicine, 27(3), 111\u2013121.", "Ahmed, Armaan, De Souza, Diehl R., Link, Robert W., Nonnemacher, Michael R., Wigdahl, Brian, & Dampier, Will. (2021). Design of a SHERLOCK-based low resource screening assay for HIV-1 drug resistance. Discovery Day 2021, Philadelphia, PA, USA. Zenodo. https://doi.org/10.5281/zenodo.5719853"]}
DOI: 10.34740/kaggle/dsv/2915895
title: Cryptocurrency extra data - Dogecoin
DOI: 10.6084/m9.figshare.14384819.v6
title: ibutton-left-nondominant-upper-arm-cotton-sports-wristband-5min

description: Skin temperature using a Maxim Thermocron iButton DS1925L set at a resolution of one sample every 5 min (max resolution) and temperature resolution of 0.0625°C (max resolution), placed on the radial artery on the forearm (between elbow and wrist, about in the middle with a slightly changing position regularly to avoid skin damage due to continuous skin obstruction and warmth), by being attached with a velcro to the interior of a cotton sports wrist band. See the works of Dr. Antonio Martinez Nicolas for more details on wrist skin temperature rhythm and WTIO.<br>The procedure is described in: https://pubmed.ncbi.nlm.nih.gov/18761026/<br>This dataset can be used alone or in combination with ibutton-left-nondominant-upper-arm-cotton-sports-wristband-dorsal-interior-5min and ibutton-left-nondominant-upper-arm-cotton-sports-wristband-ventral-exterior-5min to regress dorsal skin temperature and ambient temperature respectively.<br>Start using the files from the datetime (in filename): 071621 and onward. Indeed, earlier logs are redundant. Concatenate every files beyond this date to get the full log, each file containing one distinct period of time.<br>Earlier logs contain the same data as 071621, as initially it was thought that the sensor had enough memory to collect 1 year of data, but this was in fact incorrect (it's about 6-7 months of data). So it's necessary to clear the sensor's data before collecting a new period.<br>There is unfortunately some missing data from 2021-07-06 to 2021-07-16 because the internal memory was unexpectedly already filled (it should have been able to store more than a year according to the manufacturer's documentation). The maximum number of samples seems to be 62720.<br>Note that the datetime in the filename is in US format: monthdayyear.<br>
DOI: 10.6084/m9.figshare.14456314.v5
title: ibutton-left-nondominant-upper-arm-cotton-sports-wristband-dorsal-interior-5min

description: Skin temperature using a Maxim Thermocron iButton DS1925L set at a resolution of one sample every 5 min (max resolution) and temperature resolution of 0.0625°C (max resolution), placed on the dorsal side of the forearm, at the opposite of the radial artery, by being attached with a velcro to the interior of a cotton sports wrist band.<br>This dataset is meant to capture skin temperature at another site than the radial artery, so that the dataset may be useful for spurious temperature changes regression. This should be used in combination with the ibutton-left-nondominant-upper-arm-cotton-sports-wristband-5min dataset.<br>Start using the files from the datetime (in filename): 071621 and onward. Indeed, earlier logs are redundant. Concatenate every files beyond this date to get the full log, each file containing one distinct period of time.<br>Earlier logs contain the same data as 071621, as initially it was thought that the sensor had enough memory to collect 1 year of data, but this was in fact incorrect (it's about 6-7 months of data). So it's necessary to clear the sensor's data before collecting a new period.<br>Note that the datetime in the filename is in US format: monthdayyear.<br>
DOI: 10.6084/m9.figshare.14456312.v5
title: ibutton-left-nondominant-upper-arm-cotton-sports-wristband-ventral-exterior-5min

description: Skin temperature using a Maxim Thermocron iButton DS1925L set at a resolution of one sample every 5 min (max resolution) and temperature resolution of 0.0625°C (max resolution), placed on the ventral side of the forearm, by being attached with a velcro to the exterior of a cotton sports wrist band.<br>This dataset is meant to capture ambient temperature. It is placed just beside the main skin sensor but on the exterior of the cotton wristband instead of the interior, so that this sensor reflects the ambient temperature at the exact site where the main skin sensor is. This should be used in combination with the ibutton-left-nondominant-upper-arm-cotton-sports-wristband-5min dataset (main skin sensor, placed on the radial artery).<br>Start using the files from the datetime (in filename): 071621 and onward. Indeed, earlier logs are redundant. Concatenate every files beyond this date to get the full log, each file containing one distinct period of time.<br>Earlier logs contain the same data as 071621, as initially it was thought that the sensor had enough memory to collect 1 year of data, but this was in fact incorrect (it's about 6-7 months of data). So it's necessary to clear the sensor's data before collecting a new period.<br>Note that the datetime in the filename is in US format: monthdayyear.
DOI: 10.6084/m9.figshare.14650542.v4
title: non24-body-weight

description: Body weight evolution from 2018 up to 2021, using a RENPHO bluetooth connected bathroom scale through the FeelFit Android app.<br>Each CSV file contains the whole dataset up to the exported date as indicated in the filename, hence prefer using only the latest file only, the others can be discarded.
DOI: 10.6084/m9.figshare.14384832.v14
title: axivity-ax6-left-forearm-nondominant

description: 6-axis actigraphy (translation and rotation) using Axivity AX6 (similar to AX3 used in UK BioBank), configured with 100Hz sampling frequency, 16bit resolution and 2000dps gyro/rotation.<br>Attached with a velcro to the exterior of a cotton wrist band with arrow facing down towards the ground/back when arms are in a natural position along the body, on the left forearm (non-dominant arm).<br>Started acquisition in March 2021.<br>Each file represents one acquisition session of about 1 week. Multiple files can be concatenated to study a longer time period.
DOI: 10.6084/m9.figshare.5630047
title: Data from A polymorphism in the 5′-flanking region of the serotonin transporter (5-HTT) gene affects fear-related behaviors of adult domestic chickens

description: Data from the paper:Krause ET, Kjaer JB, Lüders C, Phi van L (2017) A polymorphism in the 5′-flanking region of the serotonin transporter (5-HTT) gene affects fear-related behaviors of adult domestic chickens. Behavioural Brain Research 330: 92-96 <br>
DOI: 10.6084/m9.figshare.5630047.v1
title: Data from A polymorphism in the 5′-flanking region of the serotonin transporter (5-HTT) gene affects fear-related behaviors of adult domestic chickens

description: Data from the paper:Krause ET, Kjaer JB, Lüders C, Phi van L (2017) A polymorphism in the 5′-flanking region of the serotonin transporter (5-HTT) gene affects fear-related behaviors of adult domestic chickens. Behavioural Brain Research 330: 92-96 <br>
DOI: 10.5281/zenodo.5774191
title: Deciphering polymorphism in 61,157 Escherichia coli genomes via epistatic sequence landscapes

description: We use computational models based on Direct Coupling Analysis - DCA - trained on PFAM domains of distant distant homologues to accurately predict the polymorphisms segregating in a panel of 61,157 <em>Escherichia coli </em>genomes. We show that the genetic context (<em>i.e. </em>the rest of the protein sequence) strongly constrains the tolerable amino acids in 30% to 50% of amino-acid sites. Our study also suggests the gradual build-up of genetic context over long evolutionary timescales by the accumulation of small epistatic contributions. Please refer to the README file for additional information on the structure of this dataset. Code to analyse this dataset is available at https://github.com/GiancarloCroce/DCA_polymorphism_Ecoli.
description: Our work was partially funded by the French Agence Nationale pour la Recherche ANR GeWiEp (ANR-18-CE35-0005-01, to L.V. and O.T.), the French Fondation pour la Recherche Médicale (EQU201903007848, to L.V. and O.T.), the PhD program AMX of École polytechnique and Min- istère de l'Enseignement Supérieur, de la Recherche et de l'Innovation (to L.V.) and EU H2020 Research and Innovation Programme MSCA-RISE-2016 (Grant Agreement No. 734439 InferNet, to M.W.).
DOI: 10.21227/ddgz-tx88
title: MPSC-rPPG

description: The MPSC-rPPG dataset comprises photoplethysmograph (rPPG) data with the PPG ground truth, making it a perfect dataset to evaluate various algorithms for extracting PPG, measuring heart rate, heart rate variability from video. The dataset contains facial videos and Blood Volume Pulse (BVP) data captured concurrently.
DOI: 10.6084/m9.figshare.3761562.v2070
title: Online Labour Index: Measuring the Online Gig Economy for Policy and Research

description: Data repository for the data underlying the Online Labour Index. See http://ilabour.oii.ox.ac.uk online-labour-index/ for details.
DOI: 10.6084/m9.figshare.14384832.v15
title: axivity-ax6-left-forearm-nondominant

description: 6-axis actigraphy (translation and rotation) using Axivity AX6 (similar to AX3 used in UK BioBank), configured with 100Hz sampling frequency, 16bit resolution and 2000dps gyro/rotation.<br>Attached with a velcro to the exterior of a cotton wrist band with arrow facing down towards the ground/back when arms are in a natural position along the body, on the left forearm (non-dominant arm).<br>Started acquisition in March 2021.<br>Each file represents one acquisition session of about 1 week. Multiple files can be concatenated to study a longer time period.
DOI: 10.5281/zenodo.5774278
title: Graphium evemon decontaminated FSCR

description: .
DOI: 10.5281/zenodo.5774277
title: Graphium evemon decontaminated FSCR

description: .
DOI: 10.6084/m9.figshare.17162519
title: Bee Study Data

description: Data and R code for the analysis of pollinator plant trials. In this study, we screened 23 wildflowers native to the Pacific Northwest region of the U.S. for their attractiveness to bee pollinators, to identify plants to promote to gardeners interested in pollinator conservation. Data were collected at Oregon State University's North Willamette Research Extension Center in Aurora, OR. Data was collected in the summers of 2017, 2018, and 2019.<br>Abundance data was generated form five minute pollinator observations. Bee specimens were sampled using an insect vacuum.
DOI: 10.6084/m9.figshare.17162519.v2
title: Bee Study Data

description: Data and R code for the analysis of pollinator plant trials. In this study, we screened 23 wildflowers native to the Pacific Northwest region of the U.S. for their attractiveness to bee pollinators, to identify plants to promote to gardeners interested in pollinator conservation. Data were collected at Oregon State University's North Willamette Research Extension Center in Aurora, OR. Data was collected in the summers of 2017, 2018, and 2019.<br>Abundance data was generated form five minute pollinator observations. Bee specimens were sampled using an insect vacuum.