cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.4387067
title: Data for "Gaining Hydrological Insights Through Wilk's Feature Importance: A Test-Statistic Interpretation method for Reliable and Robust Inference"

description: Daily timestep dataset including streamflows of three irrigation drainage basins; four irrigation canal flow data; precipitation, temperature and evaporation data.
DOI: 10.5281/zenodo.4568485
title: A Multi-Band Forced-Photometry Catalog in the ELAIS-S1 Field

description: These are the data products presented in the Zou et al. (2021) RNAAS paper, “A Multi-Band Forced Photometry Catalog in the ELAIS-S1 Field”.
DOI: 10.5281/zenodo.4540165
title: A Multi-Band Forced-Photometry Catalog in the ELAIS-S1 Field

description: These are the data products presented in the Zou et al. (2021) RNAAS paper, “A Multi-Band Forced Photometry Catalog in the ELAIS-S1 Field”.
DOI: 10.5281/zenodo.4568501
title: dataset from GRL: Configuration of the Earth's magnetotail current sheet

description: The archive contains five files with datasets of observational and simulation results shown in Fig. 2&3 in the main text of the GRL paper "Configuration of the Earth's magnetotail current sheet". Each file consist of columns of (x, y) arguments and three columns of observational values and values obtained from global MHD and hybrid simulations.
DOI: 10.5281/zenodo.4568500
title: dataset from GRL: Configuration of the Earth's magnetotail current sheet

description: The archive contains five files with datasets of observational and simulation results shown in Fig. 2&3 in the main text of the GRL paper "Configuration of the Earth's magnetotail current sheet". Each file consist of columns of (x, y) arguments and three columns of observational values and values obtained from global MHD and hybrid simulations.
DOI: 10.6084/m9.figshare.13739233
title: Motion Capture Data and Camera Parameters

description: All Rat 7M motion capture data and camera parameters.<br>Each file contains the motion capture traces in a variable called 'mocap' and camera calibration parameters in a variable called 'cameras'. In addition to the calibration parameters for each camera, 'cameras' also contains a variable, 'frames', which gives the video frame number (for each camera) corresponding to a given sample of motion capture data. <br><br>.mat files are readable in Matlab or using scipy.io.loadmat() in python/scipy.<br>
DOI: 10.6084/m9.figshare.13739233.v1
title: Motion Capture Data and Camera Parameters

description: All Rat 7M motion capture data and camera parameters.<br>Each file contains the motion capture traces in a variable called 'mocap' and camera calibration parameters in a variable called 'cameras'. In addition to the calibration parameters for each camera, 'cameras' also contains a variable, 'frames', which gives the video frame number (for each camera) corresponding to a given sample of motion capture data. <br><br>.mat files are readable in Matlab or using scipy.io.loadmat() in python/scipy.<br>
DOI: 10.6084/m9.figshare.13884038
title: Dunn*, Marshall*, et al. Nature Methods (2021). Figure 3 Statistical Source Data.

description: .csv file containing all Rat 7M DANNCE vs. DLC performance metrics.<br>
DOI: 10.6084/m9.figshare.13770565
title: Rat 7M Videos Subject 5 - Day 1

description: All videos for Subject 5, Day 1 in Rat 7M.<br><br>The video naming scheme is s{subject_id}-d{recording_day}-camera{camera_id}-{starting_frame_idx}.mp4.<br><br>Subject ID, recording day, and camera ID match videos to the data in the motion capture and camera calibration parameter .mat files.<br><br>Videos are provided in 3500 frame chunks, with the index of the starting frame in each file denoted by the {starting_frame_idx} portion of the filename.<br><br>Using the 'frames' field in the 'cameras' struct inside 'mocap.mat', the corresponding video file and frame index can be calculated by used frame_idx // 3500 to get the {starting_frame_idx} and frame_idx % 3500 to get the frame in that file. <br>
DOI: 10.6084/m9.figshare.13769833
title: Rat 7M Videos Subject 5 - Day 2

description: All videos for Subject 5, Day 2 in Rat 7M.<br><br>The video naming scheme is s{subject_id}-d{recording_day}-camera{camera_id}-{starting_frame_idx}.mp4.<br><br>Subject ID, recording day, and camera ID match videos to the data in the motion capture and camera calibration parameter .mat files.<br><br>Videos are provided in 3500 frame chunks, with the index of the starting frame in each file denoted by the {starting_frame_idx} portion of the filename.<br><br>Using the 'frames' field in the 'cameras' struct inside 'mocap.mat', the corresponding video file and frame index can be calculated by used frame_idx // 3500 to get the {starting_frame_idx} and frame_idx % 3500 to get the frame in that file. <br>
DOI: 10.6084/m9.figshare.13767502
title: Rat 7M Videos Subject 4 - Day 1

description: All videos for Subject 4, Day 1 in Rat 7M.<br><br>The video naming scheme is s{subject_id}-d{recording_day}-camera{camera_id}-{starting_frame_idx}.mp4.<br><br>Subject ID, recording day, and camera ID match videos to the data in the motion capture and camera calibration parameter .mat files.<br><br>Videos are provided in 3500 frame chunks, with the index of the starting frame in each file denoted by the {starting_frame_idx} portion of the filename.<br><br>Using the 'frames' field in the 'cameras' struct inside 'mocap.mat', the corresponding video file and frame index can be calculated by used frame_idx // 3500 to get the {starting_frame_idx} and frame_idx % 3500 to get the frame in that file. <br>
DOI: 10.6084/m9.figshare.13764208
title: Rat 7M Videos Subject 3 - Day 1

description: All videos for Subject 3, Day 1 in Rat 7M.<br><br>The video naming scheme is s{subject_id}-d{recording_day}-camera{camera_id}-{starting_frame_idx}.mp4.<br><br>Subject ID, recording day, and camera ID match videos to the data in the motion capture and camera calibration parameter .mat files.<br><br>Videos are provided in 3500 frame chunks, with the index of the starting frame in each file denoted by the {starting_frame_idx} portion of the filename.<br><br>Using the 'frames' field in the 'cameras' struct inside 'mocap.mat', the corresponding video file and frame index can be calculated by used frame_idx // 3500 to get the {starting_frame_idx} and frame_idx % 3500 to get the frame in that file. <br>
DOI: 10.6084/m9.figshare.13759336
title: Rat 7M Videos Subject 2 - Day 2

description: All videos for Subject 2, Day 2 in Rat 7M.<br><br>The video naming scheme is s{subject_id}-d{recording_day}-camera{camera_id}-{starting_frame_idx}.mp4.<br><br>Subject ID, recording day, and camera ID match videos to the data in the motion capture and camera calibration parameter .mat files.<br><br>Videos are provided in 3500 frame chunks, with the index of the starting frame in each file denoted by the {starting_frame_idx} portion of the filename.<br><br>Using the 'frames' field in the 'cameras' struct inside 'mocap.mat', the corresponding video file and frame index can be calculated by used frame_idx // 3500 to get the {starting_frame_idx} and frame_idx % 3500 to get the frame in that file. <br>
DOI: 10.6084/m9.figshare.13753417
title: Rat 7M Videos Subject 2 - Day 1

description: All videos for Subject 2, Day 1 in Rat 7M.<br><br>The video naming scheme is s{subject_id}-d{recording_day}-camera{camera_id}-{starting_frame_idx}.mp4.<br><br>Subject ID, recording day, and camera ID match videos to the data in the motion capture and camera calibration parameter .mat files.<br><br>Videos are provided in 3500 frame chunks, with the index of the starting frame in each file denoted by the {starting_frame_idx} portion of the filename.<br><br>Using the 'frames' field in the 'cameras' struct inside 'mocap.mat', the corresponding video file and frame index can be calculated by used frame_idx // 3500 to get the {starting_frame_idx} and frame_idx % 3500 to get the frame in that file. <br><br>
DOI: 10.6084/m9.figshare.13751023
title: Rat 7M Videos Subject 1 - Day 1

description: All videos for Subject 1, Day 1 of Rat 7M.<br><br>The video naming scheme is s{subject_id}-d{recording_day}-camera{camera_id}-{starting_frame_idx}.mp4.<br><br>Subject ID, recording day, and camera ID match videos to the data in the motion capture and camera calibration parameter .mat files.<br><br>Videos are provided in 3500 frame chunks, with the index of the starting frame in each file denoted by the {starting_frame_idx} portion of the filename.<br><br>Using the 'frames' field in the 'cameras' struct inside 'mocap.mat', the corresponding video file and frame index can be calculated by used frame_idx // 3500 to get the {starting_frame_idx} and frame_idx % 3500 to get the frame in that file. <br>
DOI: 10.34740/kaggle/dsv/1981541
title: US counties COVID 19 dataset
DOI: 10.6084/m9.figshare.14130569
title: data_IET.xlsx

description: We used Google Spreadsheets to manage the answers to the questionnaire, the results of the instrument, and perform the calculation of the MRE. The chart in what follows shows the questionnaire response (RESPONSES), maneger results (M), technical leader results (TL), development team results (DT), and the MRE calculation (MRE).
DOI: 10.6084/m9.figshare.14130569.v1
title: data_IET.xlsx

description: We used Google Spreadsheets to manage the answers to the questionnaire, the results of the instrument, and perform the calculation of the MRE. The chart in what follows shows the questionnaire response (RESPONSES), maneger results (M), technical leader results (TL), development team results (DT), and the MRE calculation (MRE).
DOI: 10.5281/zenodo.4568564
title: CoVaxxy Tweet IDs data set

description: A collection of Tweet IDs related to Covid-19 Vaccines, gathered from Twitter since Jan 4, 2021. Please see https://arxiv.org/abs/2101.07694 for more information.
DOI: 10.5517/ccdc.csd.cc23sf7l
title: CCDC 1959889: Experimental Crystal Structure Determination

description: Related Article: Xiao-Lu Wang, Jia-Yue Tian, Xuan-Chen Guo, Fu-Qiang Zhang, Linfeng Liang, Xian-Ming Zhang|2021|Chem.-Eur.J.|27|3753|doi:10.1002/chem.202004111
DOI: 10.5517/ccdc.csd.cc23sf8m
title: CCDC 1959890: Experimental Crystal Structure Determination

description: Related Article: Xiao-Lu Wang, Jia-Yue Tian, Xuan-Chen Guo, Fu-Qiang Zhang, Linfeng Liang, Xian-Ming Zhang|2021|Chem.-Eur.J.|27|3753|doi:10.1002/chem.202004111
DOI: 10.5517/ccdc.csd.cc24dndm
title: CCDC 1978370: Experimental Crystal Structure Determination

description: Related Article: Monochura Saha, Munshi Sahid Hossain, Subhajit Bandyopadhyay|2021|Angew.Chem.,Int.Ed.|60|5220|doi:10.1002/anie.202012124
DOI: 10.5517/ccdc.csd.cc24t75d
title: CCDC 1990453: Experimental Crystal Structure Determination

description: Related Article: Parami S Gunasekera, Preshit Abhyankar, Samantha N. MacMillan, David C. Lacy|2021|Eur.J.Inorg.Chem.|2021|654|doi:10.1002/ejic.202000984
DOI: 10.5517/ccdc.csd.cc24t77g
title: CCDC 1990455: Experimental Crystal Structure Determination

description: Related Article: Parami S Gunasekera, Preshit Abhyankar, Samantha N. MacMillan, David C. Lacy|2021|Eur.J.Inorg.Chem.|2021|654|doi:10.1002/ejic.202000984
DOI: 10.5517/ccdc.csd.cc259m04
title: CCDC 2005235: Experimental Crystal Structure Determination

description: Related Article: Fabian Ehret, Vasileios Filippou, Svenja Blickle, Martina Bubrin, Stanislav Záliš, Wolfgang Kaim|2021|Chem.-Eur.J.|27|3374|doi:10.1002/chem.202003636
DOI: 10.5517/ccdc.csd.cc259m15
title: CCDC 2005236: Experimental Crystal Structure Determination

description: Related Article: Fabian Ehret, Vasileios Filippou, Svenja Blickle, Martina Bubrin, Stanislav Záliš, Wolfgang Kaim|2021|Chem.-Eur.J.|27|3374|doi:10.1002/chem.202003636
DOI: 10.5517/ccdc.csd.cc259lrv
title: CCDC 2005227: Experimental Crystal Structure Determination

description: Related Article: Fabian Ehret, Vasileios Filippou, Svenja Blickle, Martina Bubrin, Stanislav Záliš, Wolfgang Kaim|2021|Chem.-Eur.J.|27|3374|doi:10.1002/chem.202003636
DOI: 10.5517/ccdc.csd.cc2618m5
title: CCDC 2027016: Experimental Crystal Structure Determination

description: Related Article: Ricardo I. Rodríguez, Leonardo Mollari, José Alemán|2021|Angew.Chem.,Int.Ed.|60|4555|doi:10.1002/anie.202013020
DOI: 10.5517/ccdc.csd.cc261wqw
title: CCDC 2027608: Experimental Crystal Structure Determination

description: Related Article: Hadi Dolati, Lars Denker, Bartosz Trzaskowski, René Frank|2021|Angew.Chem.,Int.Ed.|60|4633|doi:10.1002/anie.202015553
DOI: 10.5517/ccdc.csd.cc261wtz
title: CCDC 2027611: Experimental Crystal Structure Determination

description: Related Article: Hadi Dolati, Lars Denker, Bartosz Trzaskowski, René Frank|2021|Angew.Chem.,Int.Ed.|60|4633|doi:10.1002/anie.202015553
DOI: 10.5517/ccdc.csd.cc261wv0
title: CCDC 2027612: Experimental Crystal Structure Determination

description: Related Article: Hadi Dolati, Lars Denker, Bartosz Trzaskowski, René Frank|2021|Angew.Chem.,Int.Ed.|60|4633|doi:10.1002/anie.202015553
DOI: 10.5517/ccdc.csd.cc261ww1
title: CCDC 2027613: Experimental Crystal Structure Determination

description: Related Article: Hadi Dolati, Lars Denker, Bartosz Trzaskowski, René Frank|2021|Angew.Chem.,Int.Ed.|60|4633|doi:10.1002/anie.202015553
DOI: 10.5517/ccdc.csd.cc268wcr
title: CCDC 2034324: Experimental Crystal Structure Determination

description: Related Article: Carsten Jenne, Marc C. Nierstenhöfer, Valentin Lessen|2021|Chem.-Eur.J.|27|3288|doi:10.1002/chem.202005003
DOI: 10.5517/ccdc.csd.cc268wds
title: CCDC 2034325: Experimental Crystal Structure Determination

description: Related Article: Carsten Jenne, Marc C. Nierstenhöfer, Valentin Lessen|2021|Chem.-Eur.J.|27|3288|doi:10.1002/chem.202005003
DOI: 10.5517/ccdc.csd.cc268wft
title: CCDC 2034326: Experimental Crystal Structure Determination

description: Related Article: Carsten Jenne, Marc C. Nierstenhöfer, Valentin Lessen|2021|Chem.-Eur.J.|27|3288|doi:10.1002/chem.202005003
DOI: 10.5517/ccdc.csd.cc268wgv
title: CCDC 2034327: Experimental Crystal Structure Determination

description: Related Article: Carsten Jenne, Marc C. Nierstenhöfer, Valentin Lessen|2021|Chem.-Eur.J.|27|3288|doi:10.1002/chem.202005003
DOI: 10.5517/ccdc.csd.cc268whw
title: CCDC 2034328: Experimental Crystal Structure Determination

description: Related Article: Carsten Jenne, Marc C. Nierstenhöfer, Valentin Lessen|2021|Chem.-Eur.J.|27|3288|doi:10.1002/chem.202005003
DOI: 10.5517/ccdc.csd.cc268wjx
title: CCDC 2034329: Experimental Crystal Structure Determination

description: Related Article: Carsten Jenne, Marc C. Nierstenhöfer, Valentin Lessen|2021|Chem.-Eur.J.|27|3288|doi:10.1002/chem.202005003
DOI: 10.5517/ccdc.csd.cc268wlz
title: CCDC 2034331: Experimental Crystal Structure Determination

description: Related Article: Carsten Jenne, Marc C. Nierstenhöfer, Valentin Lessen|2021|Chem.-Eur.J.|27|3288|doi:10.1002/chem.202005003
DOI: 10.5517/ccdc.csd.cc26l3fc
title: CCDC 2043192: Experimental Crystal Structure Determination

description: Related Article: Wei Yang, Yiyu Yang, Xiaosong Cao, Yuan Liu, Zhanxiang Chen, Zhongyan Huang, Shaolong Gong, Chuluo Yang|2021|Chem.Eng.Journal|415|128909|doi:10.1016/j.cej.2021.128909
DOI: 10.5517/ccdc.csd.cc26l3gd
title: CCDC 2043193: Experimental Crystal Structure Determination

description: Related Article: Wei Yang, Yiyu Yang, Xiaosong Cao, Yuan Liu, Zhanxiang Chen, Zhongyan Huang, Shaolong Gong, Chuluo Yang|2021|Chem.Eng.Journal|415|128909|doi:10.1016/j.cej.2021.128909
DOI: 10.5517/ccdc.csd.cc26l3hf
title: CCDC 2043194: Experimental Crystal Structure Determination

description: Related Article: Wei Yang, Yiyu Yang, Xiaosong Cao, Yuan Liu, Zhanxiang Chen, Zhongyan Huang, Shaolong Gong, Chuluo Yang|2021|Chem.Eng.Journal|415|128909|doi:10.1016/j.cej.2021.128909
DOI: 10.5517/ccdc.csd.cc26nnyh
title: CCDC 2045657: Experimental Crystal Structure Determination

description: Related Article: Hadi Dolati, Lars Denker, Bartosz Trzaskowski, René Frank|2021|Angew.Chem.,Int.Ed.|60|4633|doi:10.1002/anie.202015553
DOI: 10.5517/ccdc.csd.cc26nnzj
title: CCDC 2045658: Experimental Crystal Structure Determination

description: Related Article: Hadi Dolati, Lars Denker, Bartosz Trzaskowski, René Frank|2021|Angew.Chem.,Int.Ed.|60|4633|doi:10.1002/anie.202015553
DOI: 10.5517/ccdc.csd.cc26np0l
title: CCDC 2045659: Experimental Crystal Structure Determination

description: Related Article: Hadi Dolati, Lars Denker, Bartosz Trzaskowski, René Frank|2021|Angew.Chem.,Int.Ed.|60|4633|doi:10.1002/anie.202015553
DOI: 10.5517/ccdc.csd.cc26qcp0
title: CCDC 2047292: Experimental Crystal Structure Determination

description: Related Article: Chen Li, Kui Wang, Xin-Yu Li, Xiao-Fan Jiang, Qi Wei, Jin-Hua Li, Guo-Ming Wang|2021|Inorg.Chem.|60|2105|doi:10.1021/acs.inorgchem.0c03665
DOI: 10.5517/ccdc.csd.cc26qcq1
title: CCDC 2047293: Experimental Crystal Structure Determination

description: Related Article: Chen Li, Kui Wang, Xin-Yu Li, Xiao-Fan Jiang, Qi Wei, Jin-Hua Li, Guo-Ming Wang|2021|Inorg.Chem.|60|2105|doi:10.1021/acs.inorgchem.0c03665
DOI: 10.5517/ccdc.csd.cc26qcr2
title: CCDC 2047294: Experimental Crystal Structure Determination

description: Related Article: Chen Li, Kui Wang, Xin-Yu Li, Xiao-Fan Jiang, Qi Wei, Jin-Hua Li, Guo-Ming Wang|2021|Inorg.Chem.|60|2105|doi:10.1021/acs.inorgchem.0c03665
DOI: 10.25345/c59j7g
title: MassIVE MSV000086964 - Element-selective targeting of nutrient metabolites in environmental samples by ICPMS and ESIMS
title: Seawater and culture ENV solid phase extraction samples
DOI: 10.3886/e109703v2-80140
title: Replication data and code for: Rural Roads and Local Economic Development

description: These files contain the data and code for the journal article "Rural Roads and Local Economic Development," American Economic Review. Please start with the readme, which contains a detailed description of all files in this repository and instructions for the replication of results in the article. <br><br>Abstract<br>Nearly one billion people worldwide live in rural areas without access to national paved road networks. We estimate the impacts of India’s $40 billion national rural road construction program using a fuzzy regression discontinuity design and comprehensive household and firm census microdata. Four years after road construction, the main effect of new feeder roads is to facilitate the movement of workers out of agriculture. However, there are no major changes in agricultural outcomes, income or assets. Employment in village firms expands only slightly. Even with better market connections, remote areas may continue to lack economic opportunities.<br><br>
description: Presence of Common Scales: Indian National Classification of Occupations (2004)
description: Villages in India without paved roads in 2000. Smallest Geographic Unit: Village
description: The main analysis sample is comprised of villages that did not have a paved approach road at the start of the road construction program and whose baseline populations were close to the cutoffs used for prioritization.
DOI: 10.3886/e118861v1-80160
title: Special Education Teachers in California

description: The shortage of special education teachers (SETs) is a challenge in the United States, but less is known about two other issues that affect students with disabilities: racial diversity within the SET workforce and the distribution of SETs. Using data on all teachers in California from 1997 to 2014, we examined the racial composition and distribution of teachers with special education credentials. Our results show that while teachers with special education credentials remain majority White, the number of teachers of color with special education credentials has increased at a rate more than twice that of general education teachers and special education students of color. Much of the distribution of teachers with special education credentials occurs across districts within the same region, while disparities in teacher qualifications are larger by school poverty, racial composition, and student achievement. The results have implications for diversity and educational equity within the special education workforce.
DOI: 10.5517/ccdc.csd.cc26tqqh
title: CCDC 2050517: Experimental Crystal Structure Determination

description: Related Article: Yufeng Xie, Yanyan Pan, Fuming Xiao, Yunxiang Lei, Yunbing Zhou, Miaochang Liu, Wenxia Gao, Xiaobo Huang, Huayue Wu|2021|Dyes Pigm.|188|109217|doi:10.1016/j.dyepig.2021.109217
DOI: 10.5517/ccdc.csd.cc26tqrj
title: CCDC 2050518: Experimental Crystal Structure Determination

description: Related Article: Yufeng Xie, Yanyan Pan, Fuming Xiao, Yunxiang Lei, Yunbing Zhou, Miaochang Liu, Wenxia Gao, Xiaobo Huang, Huayue Wu|2021|Dyes Pigm.|188|109217|doi:10.1016/j.dyepig.2021.109217
DOI: 10.5517/ccdc.csd.cc26tqsk
title: CCDC 2050519: Experimental Crystal Structure Determination

description: Related Article: Yufeng Xie, Yanyan Pan, Fuming Xiao, Yunxiang Lei, Yunbing Zhou, Miaochang Liu, Wenxia Gao, Xiaobo Huang, Huayue Wu|2021|Dyes Pigm.|188|109217|doi:10.1016/j.dyepig.2021.109217
DOI: 10.5517/ccdc.csd.cc26wbt8
title: CCDC 2052070: Experimental Crystal Structure Determination

description: Related Article: Yuuri Fujiwara, Keiichi Sato, Yasunori Yamada, Takeshi Hanamoto|2021|J.Fluorine Chem.|243|109737|doi:10.1016/j.jfluchem.2021.109737
DOI: 10.5517/ccdc.csd.cc26wk8y
title: CCDC 2052270: Experimental Crystal Structure Determination

description: Related Article: Fangfang Fu, Zhihao Zhang, Yong Wang, Chuanjiang Hu|2021|Inorg.Chem.Commun.|126|108492|doi:10.1016/j.inoche.2021.108492
DOI: 10.5281/zenodo.3996554
title: Anonymized Dataset for "How Difficult Can It Be? Assessing Workload Components and Predictors in Introductory CS Projects"

description: Paper title: How Difficult Can It Be? Assessing Workload Components and Predictors in Introductory CS Projects This is a replication package using the anonymized dataset that we have collected including 161 entries of NASA-TLX surveys and the associated student source code metrics. Please cite the paper properly if you plan on using any parts of the dataset or the replication package. <br> <br> The following preprocessing steps proceed the work in this file: <br> 1- Collecting survey data and filtering incomplete entries, anonymizing data by replacing names with numbers. <br> 2- Calculating TLX and adding it as a feature to the data. <br> 3- Processing the code associated with each entry to calculate: loc, functions/methods, classes, style errors. <br> 4- Processing submission system logs to calculate number of commits/submissions. <br> <br> <br> Dataset: anonymous-complete-preprocessed-TLX.csv <br> key: anonymous-dataset-key.txt
DOI: 10.5281/zenodo.3996553
title: Anonymized Dataset for "How Difficult Can It Be? Assessing Workload Components and Predictors in Introductory CS Projects"

description: Paper title: How Difficult Can It Be? Assessing Workload Components and Predictors in Introductory CS Projects This is a replication package using the anonymized dataset that we have collected including 161 entries of NASA-TLX surveys and the associated student source code metrics. Please cite the paper properly if you plan on using any parts of the dataset or the replication package. <br> <br> The following preprocessing steps proceed the work in this file: <br> 1- Collecting survey data and filtering incomplete entries, anonymizing data by replacing names with numbers. <br> 2- Calculating TLX and adding it as a feature to the data. <br> 3- Processing the code associated with each entry to calculate: loc, functions/methods, classes, style errors. <br> 4- Processing submission system logs to calculate number of commits/submissions. <br> <br> <br> Dataset: anonymous-complete-preprocessed-TLX.csv <br> key: anonymous-dataset-key.txt
DOI: 10.5281/zenodo.4568550
title: Raw data for Differential dominance of an allele of the Drosophila tßh gene

description: Raw data for every figure in the publication "<strong>Differential dominance of an allele of the </strong><em>Drosophila</em><strong> </strong><em>tßh</em><strong> gene challenges standard genetic techniques</strong>"