cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.4059840
title: Authorship Identification of SOurce COde 2020 (AI-SOCO)

description: General authorship identification is essential to the detection of undesirable deception of others' content misuse or exposing the owners of some anonymous hurtful content. This is done by revealing the author of that content. <strong>A</strong>uthorship <strong>I</strong>dentification of <strong>SO</strong>urce <strong>CO</strong>de (AI-SOCO) focuses on uncovering the author who wrote some piece of code. This facilitates solving issues related to cheating in academic, work and open source environments. Also, it can be helpful in detecting the authors of malware softwares over the world. The detection of cheating in academic communities is significant to properly address the contribution of each researcher. Also, in work environments, credit sometimes goes to people that did not deserve it. Such issues of plagiarism could arise in open source projects that are available on public platforms. Similarly, this could be used in public or private online coding contests whether done in coding interviews or in official coding training contests to detect the cheating of applicants or contestants. A system like this could also play a big role in detecting the source of anonymous malicious softwares. The dataset is composed of source codes collected from the open submissions in the Codeforces online judge. Codeforces is an online judge for hosting competitive programming contests such that each contest consists of multiple problems to be solved by the participants. A Codeforces participant can solve a problem by writing a solution for it using any of the available programming languages on the website, and then submitting the solution through the website. The solution's result can be correct (accepted) or incorrect (wrong answer, time limit exceeded, etc.). In our dataset, we selected 1,000 users and collected 100 source codes from each one. So, the total number of source codes is 100,000. All collected source codes are correct, bug-free, compile-ready and written using the C++ programming language using different versions. For each user, all collected source codes are from unique problems. Given the pre-defined set of source codes and their authors, the task is to build a system to determine which one of these authors wrote a given unseen before source code. Dataset website: https://sites.google.com/view/ai-soco-2020.
DOI: 10.5281/zenodo.4059839
title: Authorship Identification of SOurce COde 2020 (AI-SOCO)

description: General authorship identification is essential to the detection of undesirable deception of others' content misuse or exposing the owners of some anonymous hurtful content. This is done by revealing the author of that content. <strong>A</strong>uthorship <strong>I</strong>dentification of <strong>SO</strong>urce <strong>CO</strong>de (AI-SOCO) focuses on uncovering the author who wrote some piece of code. This facilitates solving issues related to cheating in academic, work and open source environments. Also, it can be helpful in detecting the authors of malware softwares over the world. The detection of cheating in academic communities is significant to properly address the contribution of each researcher. Also, in work environments, credit sometimes goes to people that did not deserve it. Such issues of plagiarism could arise in open source projects that are available on public platforms. Similarly, this could be used in public or private online coding contests whether done in coding interviews or in official coding training contests to detect the cheating of applicants or contestants. A system like this could also play a big role in detecting the source of anonymous malicious softwares. The dataset is composed of source codes collected from the open submissions in the Codeforces online judge. Codeforces is an online judge for hosting competitive programming contests such that each contest consists of multiple problems to be solved by the participants. A Codeforces participant can solve a problem by writing a solution for it using any of the available programming languages on the website, and then submitting the solution through the website. The solution's result can be correct (accepted) or incorrect (wrong answer, time limit exceeded, etc.). In our dataset, we selected 1,000 users and collected 100 source codes from each one. So, the total number of source codes is 100,000. All collected source codes are correct, bug-free, compile-ready and written using the C++ programming language using different versions. For each user, all collected source codes are from unique problems. Given the pre-defined set of source codes and their authors, the task is to build a system to determine which one of these authors wrote a given unseen before source code. Dataset website: https://sites.google.com/view/ai-soco-2020.
DOI: 10.5281/zenodo.4059836
title: Data set from Caruso R, Grugnetti AM, Pastore U, Dellafiore F, Pittella F, Ausili D, Stievano A, Arrigoni C. Modified Research Utilization Questionnaire: Development and Validation Study among Italian Nurses. Asian Nurs Res (Korean Soc Nurs Sci). 2019 Feb;13(1):61-68. doi: 10.1016/j.anr.2019.01.006. Epub 2019 Jan 18. PMID: 30660835.

description: Data set from Caruso R, Grugnetti AM, Pastore U, Dellafiore F, Pittella F, Ausili D, Stievano A, Arrigoni C. Modified Research Utilization Questionnaire: Development and Validation Study among Italian Nurses. Asian Nurs Res (Korean Soc Nurs Sci). 2019 Feb;13(1):61-68. doi: 10.1016/j.anr.2019.01.006. Epub 2019 Jan 18. PMID: 30660835. This is the abstract: <strong>Purpose: </strong>The purpose of this study was to develop the modified research utilization questionnaire (M-RUQ) and to establish its content and face validity, construct validity, and reliability. <strong>Methods: </strong>This study has a multiphase (three phases), methodological, and cross-sectional design. First, research utilization questionnaire (RUQ) was translated into Italian, which is the target language to develop the M-RUQ. Second, the RUQ psychometric proprieties were assessed using exploratory factorial analysis to identify ambiguous or problematic items (e.g., cross-loadings) (cross-sectional sampling A). The RUQ modification (i.e., item deleting, wording modification, and scoring procedure) represented the development of the M-RUQ among Italian nurses. The third phase was aimed to confirm the construct validity of the M-RUQ and to test its stability and internal consistency (cross-sectional sampling B). <strong>Results: </strong>This study's findings show that M-RUQ has a three-dimensional structure and a total of 22 items. The M-RUQ shows evidence of validity and reliability. Precisely, the factorial structure coming from an exploratory factorial analysis on the first sample (n = 504) was confirmed by a final model of confirmatory factorial analysis (CFA) on a second sample (n = 362). The final CFA model showed adequate goodness of fit, where all the factor loadings showed values higher than .40. Cronbach's α was satisfactory for each domain and for the overall scale. Furthermore, the M-RUQ showed good stability described by the test-retest. <strong>Conclusion: </strong>The M-RUQ should be used to assess research utilization among nurses for educational or research purposes to address the practice. Further research about its validity and reliability is suggested.
DOI: 10.5281/zenodo.4059835
title: Data set from Caruso R, Grugnetti AM, Pastore U, Dellafiore F, Pittella F, Ausili D, Stievano A, Arrigoni C. Modified Research Utilization Questionnaire: Development and Validation Study among Italian Nurses. Asian Nurs Res (Korean Soc Nurs Sci). 2019 Feb;13(1):61-68. doi: 10.1016/j.anr.2019.01.006. Epub 2019 Jan 18. PMID: 30660835.

description: Data set from Caruso R, Grugnetti AM, Pastore U, Dellafiore F, Pittella F, Ausili D, Stievano A, Arrigoni C. Modified Research Utilization Questionnaire: Development and Validation Study among Italian Nurses. Asian Nurs Res (Korean Soc Nurs Sci). 2019 Feb;13(1):61-68. doi: 10.1016/j.anr.2019.01.006. Epub 2019 Jan 18. PMID: 30660835. This is the abstract: <strong>Purpose: </strong>The purpose of this study was to develop the modified research utilization questionnaire (M-RUQ) and to establish its content and face validity, construct validity, and reliability. <strong>Methods: </strong>This study has a multiphase (three phases), methodological, and cross-sectional design. First, research utilization questionnaire (RUQ) was translated into Italian, which is the target language to develop the M-RUQ. Second, the RUQ psychometric proprieties were assessed using exploratory factorial analysis to identify ambiguous or problematic items (e.g., cross-loadings) (cross-sectional sampling A). The RUQ modification (i.e., item deleting, wording modification, and scoring procedure) represented the development of the M-RUQ among Italian nurses. The third phase was aimed to confirm the construct validity of the M-RUQ and to test its stability and internal consistency (cross-sectional sampling B). <strong>Results: </strong>This study's findings show that M-RUQ has a three-dimensional structure and a total of 22 items. The M-RUQ shows evidence of validity and reliability. Precisely, the factorial structure coming from an exploratory factorial analysis on the first sample (n = 504) was confirmed by a final model of confirmatory factorial analysis (CFA) on a second sample (n = 362). The final CFA model showed adequate goodness of fit, where all the factor loadings showed values higher than .40. Cronbach's α was satisfactory for each domain and for the overall scale. Furthermore, the M-RUQ showed good stability described by the test-retest. <strong>Conclusion: </strong>The M-RUQ should be used to assess research utilization among nurses for educational or research purposes to address the practice. Further research about its validity and reliability is suggested.
DOI: 10.5281/zenodo.4005014
title: Far-infrared to millimeter data of protoplanetary disks: dust growth in the Taurus, Ophiuchus, and Chamaeleon I star-forming regions

description: This repository contains the data set presented in the manuscript "Far-infrared to millimeter data of protoplanetary disks: dust growth in the Taurus, Ophiuchus, and Chamaeleon I star-forming regions" (Ribas et al. 2017), and includes a table with several sample properties (e.g. stellar properties, Herschel photometry, different spectral indices), spectral energy distributions, Spitzer/IRS and Herschel/SPIRE spectra, the median SEDs of Taurus, Ophiuchus and Chamaeleon I, and the Herschel maps used. ERRATUM: three Chamaeleon I sources (Hn 11, T45a, and WY Cha) were mislabeled in the original version of the manuscript, which resulted in their names, stellar parameters, extinction values, infrared slopes, and silicate feature properties being assigned to incorrect coordinates. Because the photometry and spectroscopy presented in the original article is coordinate- based, the provided SEDs and spectra were also missmatched: the data files labeled Hn 11 in the original manuscript correspond to T45a, those labeled T45a correspond to WY Cha, and those labeled WY Cha correspond to Hn 11. Additionally, due to a mislabeling issue in Manoj et al. 2011, the source formerly labeled UX Cha is actually CHSM 8284. Therefore, stellar parameters and photometry labeled UX Cha in our original manuscript correspond to CHSM 8284 The updated version of the repository fixes the issue both in the sample.csv file and in the individual SED and Spitzer/IRS spectra files. The published erratum is available here: https://iopscience.iop.org/article/10.3847/1538-4357/abb66e.
DOI: 10.5281/zenodo.889053
title: Far-infrared to millimeter data of protoplanetary disks: dust growth in the Taurus, Ophiuchus, and Chamaeleon I star-forming regions

description: This repository contains the data set presented in the manuscript "Far-infrared to millimeter data of protoplanetary disks: dust growth in the Taurus, Ophiuchus, and Chamaeleon I star-forming regions" (Ribas et al. 2017), and includes a table with several sample properties (e.g. stellar properties, Herschel photometry, different spectral indices), spectral energy distributions, Spitzer/IRS and Herschel/SPIRE spectra, the median SEDs of Taurus, Ophiuchus and Chamaeleon I, and the Herschel maps used. ERRATUM: three Chamaeleon I sources (Hn 11, T45a, and WY Cha) were mislabeled in the original version of the manuscript, which resulted in their names, stellar parameters, extinction values, infrared slopes, and silicate feature properties being assigned to incorrect coordinates. Because the photometry and spectroscopy presented in the original article is coordinate- based, the provided SEDs and spectra were also missmatched: the data files labeled Hn 11 in the original manuscript correspond to T45a, those labeled T45a correspond to WY Cha, and those labeled WY Cha correspond to Hn 11. Additionally, due to a mislabeling issue in Manoj et al. 2011, the source formerly labeled UX Cha is actually CHSM 8284. Therefore, stellar parameters and photometry labeled UX Cha in our original manuscript correspond to CHSM 8284 The updated version of the repository fixes the issue both in the sample.csv file and in the individual SED and Spitzer/IRS spectra files. The published erratum is available here: https://iopscience.iop.org/article/10.3847/1538-4357/abb66e.
DOI: 10.5281/zenodo.4059826
title: Social contact data for Belgium (2010-2011)

description: Social contact data for Belgium in 2010-2011
description: {"references": ["Willem L, Van Kerckhove K, Chao DL, Hens N, Beutels P (2012) A Nice Day for an Infection? Weather Conditions and Social Contact Patterns Relevant to Influenza Transmission. PLoS ONE 7(11): e48695. doi:10.1371/journal.pone.0048695"]}
DOI: 10.5281/zenodo.4059850
title: Data set from Dellafiore F, Caruso R, Arrigoni C, Flocco SF, Giamberti A, Chessa M. Lifestyles and determinants of perceived health in Italian grown-up/adult congenital heart patients: a cross-sectional and pan-national survey. BMJ Open. 2019 Oct 18;9(10):e030917. doi: 10.1136/bmjopen-2019-030917. PMID: 31630105; PMCID: PMC6803081.

description: Data set from Dellafiore F, Caruso R, Arrigoni C, Flocco SF, Giamberti A, Chessa M. Lifestyles and determinants of perceived health in Italian grown-up/adult congenital heart patients: a cross-sectional and pan-national survey. BMJ Open. 2019 Oct 18;9(10):e030917. doi: 10.1136/bmjopen-2019-030917. PMID: 31630105; PMCID: PMC6803081. This is the abstract: <strong>Objectives: </strong>To provide the first epidemiological lifestyle descriptions of the Italian grown-up/adult congenital heart disease (GUCH/ACHD) population by identifying the determinants of poor perceived health status. <strong>Design: </strong>Cross-sectional pan-national survey. <strong>Setting: </strong>Italian GUCH/ACHD patients who were members of the Italian Association of GUCH/ACHD. <strong>Primary and secondary outcome measures: </strong>To discuss these lifestyle descriptions through an ad hoc developed questionnaire and health perceptions (ie, mental and physical health perception) through a short form health survey (SF-12). <strong>Results: </strong>629 patients included; many investigated GUCH/ACHD lifestyles were determined similar to those of the general population - with the exception of the smoking habits, which were lower. The odds of the occurrence of inadequate physical health perceptions increased by more than two times in patients undergoing antiarrhythmic therapies (OR adjusted=2.045; 95% CI=1.201 to 3.479; p=0.008; n=629), more than 1.5 times in patients taking oral anticoagulants (OR adjusted=1.638; 95% CI=1.038 to 2.585; p=0.034; n=629) and roughly 1.7 times in patients treated with antiplatelets (OR adjusted=1.743; 95% CI=1.024 to 2.966; p=0.041; n=629). The odds of the occurrence of inadequate mental health perceptions increased by 1.7% for every year that the patients aged (OR adjusted=1.017; 95% CI=1.002 to 1.032; p=0.025; n=629). <strong>Conclusion: </strong>Particular attention should be paid to these ageing patients' increasing psychological needs, and additional research is needed to identify associations between their lifestyles and clinical outcomes.
DOI: 10.5281/zenodo.4059849
title: Data set from Dellafiore F, Caruso R, Arrigoni C, Flocco SF, Giamberti A, Chessa M. Lifestyles and determinants of perceived health in Italian grown-up/adult congenital heart patients: a cross-sectional and pan-national survey. BMJ Open. 2019 Oct 18;9(10):e030917. doi: 10.1136/bmjopen-2019-030917. PMID: 31630105; PMCID: PMC6803081.

description: Data set from Dellafiore F, Caruso R, Arrigoni C, Flocco SF, Giamberti A, Chessa M. Lifestyles and determinants of perceived health in Italian grown-up/adult congenital heart patients: a cross-sectional and pan-national survey. BMJ Open. 2019 Oct 18;9(10):e030917. doi: 10.1136/bmjopen-2019-030917. PMID: 31630105; PMCID: PMC6803081. This is the abstract: <strong>Objectives: </strong>To provide the first epidemiological lifestyle descriptions of the Italian grown-up/adult congenital heart disease (GUCH/ACHD) population by identifying the determinants of poor perceived health status. <strong>Design: </strong>Cross-sectional pan-national survey. <strong>Setting: </strong>Italian GUCH/ACHD patients who were members of the Italian Association of GUCH/ACHD. <strong>Primary and secondary outcome measures: </strong>To discuss these lifestyle descriptions through an ad hoc developed questionnaire and health perceptions (ie, mental and physical health perception) through a short form health survey (SF-12). <strong>Results: </strong>629 patients included; many investigated GUCH/ACHD lifestyles were determined similar to those of the general population - with the exception of the smoking habits, which were lower. The odds of the occurrence of inadequate physical health perceptions increased by more than two times in patients undergoing antiarrhythmic therapies (OR adjusted=2.045; 95% CI=1.201 to 3.479; p=0.008; n=629), more than 1.5 times in patients taking oral anticoagulants (OR adjusted=1.638; 95% CI=1.038 to 2.585; p=0.034; n=629) and roughly 1.7 times in patients treated with antiplatelets (OR adjusted=1.743; 95% CI=1.024 to 2.966; p=0.041; n=629). The odds of the occurrence of inadequate mental health perceptions increased by 1.7% for every year that the patients aged (OR adjusted=1.017; 95% CI=1.002 to 1.032; p=0.025; n=629). <strong>Conclusion: </strong>Particular attention should be paid to these ageing patients' increasing psychological needs, and additional research is needed to identify associations between their lifestyles and clinical outcomes.
DOI: 10.17633/rd.brunel.7558679
title: Supply Chain Logistics Problem Dataset

description: Dataset is divided into 7 tables, one table for all orders that needs to be assigned a route – <i>OrderList</i> table, and 6 additional files specifying the problem and restrictions. For instance, the <i>FreightRates</i> table describes all available couriers, the weight gaps for each individual lane and rates associated. The <i>PlantPorts</i> table describes the allowed links between the warehouses and shipping ports in real world. Furthermore, the <i>ProductsPerPlant</i> table lists all supported warehouse-product combinations. The V<i>miCustomers</i> lists all special cases, where warehouse is only allowed to support specific customer, while any other non-listed warehouse can supply any customer. Moreover, the <i>WhCapacities</i> lists warehouse capacities measured in number of orders per day and the <i>WhCosts</i> specifies the cost associated in storing the products in given warehouse measured in dollars per unit.<br>Order ID is ID of the order made by the customer, product ID is the specific product ID customer ordered.<br>"tpt_day_cnt" in the FrieghtRates table means transportation day count, i.e. estimated shipping time. <br>WhCapacities correspond to the number of orders. For example, let's say Customer 1 requests 10 units of X, Customer 2 requests 20 units of Y. The total number of orders is 2, thus total capacity in "whCapacity" is 2.<br><br>WhCapacities table is the maximum number of orders that can be processed per each plant, it is not dependant on specific products.<br><br>The OrderList contains historical records of how the orders were routed and demand satisfied. The whCapacities and rest of the tables are the current state constraints of the network. Thus, we can calculate the costs of historical network and also optimize for the new constraints. <br><br>In order to build Linear Programming (LP) model, you would take the following from the OrderList: the product ID that needs to be shipped, the destination port, unit quantity (for cost) and unit weight (for weight constraints). And then use the limits of those constraints from other tables.<br><b>Questions: </b>There is a Carrier V44_3 in OrderList table, but it is missing in the FreightRates table? V44_3 is a carrier that was historically used for supplying given demand, but since it has been discontinued and therefore do not appear in the Freight Rates List. Also, all of the V44_3 instances are CRF - i.e. customer arranges their own shipping and hence cost is not calculated either way. <br>
DOI: 10.5281/zenodo.4059864
title: Social contact data for Belgium (2006)

description: Social contact data from a two-day population survey in Belgium in 2006
description: {"references": ["Hens N, Goeyvaerts N, Aerts M, Shkedy Z, Van Damme P, Beutels P. Mining social mixing patterns for infectious disease models based on a two-day population survey in Belgium. BMC infectious diseases. 2009;9:5."]}
DOI: 10.5281/zenodo.4059863
title: Social contact data for Belgium (2006)

description: Social contact data from a two-day population survey in Belgium in 2006
description: {"references": ["Hens N, Goeyvaerts N, Aerts M, Shkedy Z, Van Damme P, Beutels P. Mining social mixing patterns for infectious disease models based on a two-day population survey in Belgium. BMC infectious diseases. 2009;9:5."]}
DOI: 10.6084/m9.figshare.12302171
title: Supplemental Data: Diet during early life defines testicular lipid content and sperm quality in adulthood

description: Supplemental data for the article Diet during early life defines testicular lipid content and sperm quality in adulthood.
DOI: 10.6084/m9.figshare.12302171.v1
title: Supplemental Data: Diet during early life defines testicular lipid content and sperm quality in adulthood

description: Supplemental data for the article Diet during early life defines testicular lipid content and sperm quality in adulthood.
DOI: 10.15129/73200386-560e-41c5-846a-173db04f8cd0
title: Data for: "Understanding API static drying with hot gas flow: design and test of a drying rig prototype and drying modelling development"

description: The dataset contains two folders: sodium bicarbonate and potassium l-tartrate and model, and the paracetamol DoE. Folder 1 is related to section 3.3.5.3, section 4.1, section 4.2, and section 4.3. Paracetamol DoE is related to section 4.4. In folder 1 there are 8 excel files and 1 word document. In folder 2 there are the DoE modde file, QICPIC data ,DoE experiment and images, the results related to the extra DoE experiments done, and two excel files used to calculate the void volume of the different sample generated and to calculate the vaporization pressure.
DOI: 10.6084/m9.figshare.13027991
title: Sample list and barcode

description: list of sample and their barcode