cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.19343657.v6
title: Multi-language software development: issues, challenges, and solutions

description: Code and Dataset<br>[Environment preparation]1. Python version: 3.6 or upper version2. Dependent libraries: nltk, pandas, etc.Utilize pip install [lib_name] to install the libraries.<br>[Code]1. File listStep1 Scrapy tool -- Use the Scrapy tool to crawl multi-language data from Stack Overflow.Step2 LDA topic model -- Use LDA to generate development related topics.Step3 Random sampling -- Random sample 20% posts.acceptance-categories.py -- Get the relationship between acceptance and categories.accepted answer time.py -- Get the data on how long after the post is published to get the accepted answer.evolution of acceptance.py -- Get the evolution of per-year percentage of posts with accepted answers.view counts.py -- Get the data related to the post's view counts.data analysis.py -- Other data analysis.<br>2. Command line… \step1 Scrapy tool&gt;scrapy crawl -o output.csv getQA -- start to crawl data from Stack Overflow<br>3. Command parametersscrapy bench -- Run quick benchmark testscrapy check -- Check spider contractsscrapy crawl -- Run a spiderscrapy edit -- Edit spiderscrapy fetch -- Fetch a URL using the Scrapy downloaderscrapy genspider -- Generate new spider using pre-defined templatesscrapy list -- List available spidersscrapy parse -- Parse URL (using its spider) and print the resultsscrapy runspider -- Run a self-contained spider (without creating a project)Use "scrapy -h" to see more info about a command<br>[Dataset]1. Data/dataset_1,113posts.csv: filtering via tags and number of votes.2. Data/dataset_5,565posts.csv.csv: filtering via topic modeling.3. Data/dataset_10,444posts.csv: random sampling.4. Data/dataset_586posts.csv: manual analysis.<br>
DOI: 10.48514/29dt-za28
title: FARM-data-OWLES
DOI: 10.5281/zenodo.255882
title: Multitask Human Navigation in VR with Motion Tracking

description: Data from human subjects in virtual reality performing some combination of collecting targets, avoiding obstacles, and following a path. Raw data has been parsed into 300 ms samples for use in machine learning algorithms. The data includes object positions in the virtual environment, human position tracking, and task instructions.
description: Each .mat file is the data from a single subject.

The general pRes (for "parsed results") structure has length 32, one for each of 32 trials. Each trial entry has n samples, where n is the number of 300ms slices the trial is parsed into. Within each trial:

* trialNum = number of current trial (practice trials and calibration rooms are omitted)

* taskNum: task instructions. 1= follow path only, 2 = avoid obstacles & follow path, 3 = collect targets & follow path, 4 = targets, obstacles, & path altogether

* taskName = written form of taskNum

* frameNum = frame within movie

* agentX = current X coord of agent

* agentY = current Y coord of agent (vertical height)

* agentZ = current Z coord of agent

* agentAngle = current agent's orientation (yaw in room coords)

* agentMoveDist = amount that subject moved in this action

* agentMoveAngle = angle that subject moved in this angle (relative to agentAngle)

* targ = struct for targets, include targets positions at each frame, note that once the agent encounter the object, the object will disappear (successful collection)

* path = struct for path segments, way points poisitions

* obst = struct for obstacles,  include obstacle positions at each frame, note that once the agent encounter the object, the object will disappear 

The structs for the 3 object types have the following, where m is the number of objects of that type in that trial

* distList = Distances for each of the objects for each of n samples (n x m)

* angleList = Angles for each of the objects for each of n samples (n x m). Angles are relative to the angle of the subject.

* posX, posY, posZ = X, Y, and Z positions for each of the m objects in the n sampled frames.

If you want to parse the data using Python, an example is at: https://github.com/corgiTrax/Sparse-Reinforcement-Learning/blob/master/human/data/parse.py
DOI: 10.1285/i20705948v8n2p170
title: ClustOfVar-based approach for unsupervised learning: Reading of synthetic variables with sociological data

description: This paper proposes an original data mining method for unsupervised learning, replacing traditional factor analysis with a system of variable clustering. Clustering of variables aims to group together variables that are strongly related to each other, i.e. containing the same information. We recently proposed the ClustOfVar method, specifically devoted to variable clustering, regardless of whether the variables are numeric or categorical in nature. It simultaneously provides homogeneous clusters of variables and their corresponding synthetic variables that can be read as a kind of gradient. In this algorithm, the homogeneity criterion of a cluster is defined by the squared Pearson correlation for the numeric variables and by the correlation ratio for the categorical variables. This method was tested on categorical data relating to French farmers and their perception of the environment. The use of synthetic variables provided us with an original approach of identifying the way farmers reconfigured the questions put to them.
DOI: 10.15483/1455029
title: LLNL - WRF-LES - Neutral - TTU

description: This dataset includes large-eddy simulation (LES) output from a neutrally stratified atmospheric boundary layer (ABL) simulation of observations at the SWIFT tower near Lubbock, Texas on Aug. 17, 2012. The dataset was used to assess LES models for simulation of canonical neutral ABL. The dataset can be used for comparison with other LES and computational fluid dynamics model outputs.
DOI: 10.15483/1455032
title: NREL - SOWFA - Neutral - TTU

description: This dataset includes large-eddy simulation (LES) output from a neutrally stratified atmospheric boundary layer (ABL) simulation of observations at the SWIFT tower near Lubbock, Texas on Aug. 17, 2012. The dataset was used to assess LES models for simulation of canonical neutral ABL. The dataset can be used for comparison with other LES and computational fluid dynamics model outputs.
DOI: 10.21947/1435013
title: PNNL - Domain - d03

description: [ Not provided ]
DOI: 10.25549/md28-dw83
title: Tracking Individual Performance with Sensors Study (TILES)
DOI: 10.3886/e114862v1
title: Replication data for: Civil Service Rules and Policy Choices: Evidence from US State Governments

description: This paper studies the policy impact of civil service regulations, exploiting reforms undertaken by US state governments throughout the twentieth century. These reforms replaced political patronage with a civil service recruited based on merit and protected from politics. I find that state politicians respond to these changes by spending relatively less through the reformed state-level bureaucracies. Instead, they allocate more funds to lower level governments. The reallocation of expenditures leads to reduced long-term investment by state governments.
DOI: 10.5066/p9yit6o9
title: Great Lakes tributary pharmaceutical water samples from water year 2018

description: This data release provides water chemistry results and quality assurance data for samples collected from Great Lakes tributaries in the states of Minnesota, Wisconsin, Michigan, Indiana, Ohio, and New York. In total, 158 chemicals were analyzed which are primarily pharmaceuticals. Between one and four water samples were collected at 37 sampling locations between November 2017 and July 2018 resulting in a total of 87 environmental, 95 field replicate, and 15 field blank samples. Of the 158 chemicals analyzed, 23 chemicals were detected in at least one regular sample. Detections per site ranged from 0 to 12 chemicals at concentrations of 1.56 to 30900 nanograms per liter. Sample collection and analysis was performed by the U.S. Geological Survey and summarized in the associated journal article (https://doi.org/TBD). More detailed method descriptions will be published in the future.
DOI: 10.5281/zenodo.4266528
title: RCT studies on preventive measures and treatments for COVID-19

description: Every week we screen the WHO International Clinical Trials Registry Platform (ICTRP) to identify and extract data from RCTs evaluating the effectiveness of interventions for preventing and treating COVID-19 as well as of all trials assessing vaccines. This dataset includes a detailed list of all the RCTs we have identified, including their characteristics (i.e. registration date, study design, study aim, funding, country, etc.). This data is being used to develop our two living data visualizations of treatments and vaccines. This is the first version of the database, dated 1st April 2020. Since then, the file has been updated once a week. The <strong>latest version of this database is available upon registration</strong> at https://covid-nma.com/datasharing/. In fact, we are willing to make our database freely available to people who request it but it is important for us to know who is downloading our data and for which scope. We will reference in our website every work produced using our data.
DOI: 10.15483/1455025
title: PNNL - WRF-LES - Convective - TTU

description: This dataset includes large-eddy simulation (LES) output from a convective atmospheric boundary layer (ABL) simulation of observations at the SWIFT tower near Lubbock, Texas on July 4, 2012. The dataset was used to assess the LES models for simulation of canonical convective ABL. The dataset can be used for comparison with other LES and computational fluid dynamics model outputs.
DOI: 10.17632/vpps4vhryg.2
title: COVID-19 related trajectory data of 10 microseconds all atom molecular dynamics simulation of SARS-CoV-2 dimeric main protease

description: Raw trajectory data (GROMACS format) of 10 microseconds all atom molecular dynamics simulation of COVID-19 related SARS-CoV-2 dimeric main protease without ligand based on PDB 6LU7, were caclulated on a special purpose computer, MDGRAPE-4A, at RIKEN BDR, JAPAN. We can observe relaxation dynamics and fluctuations of the dimeric protease over the microseconds timescale. We hope that this raw data can help drug development efforts targeting the SARS-CoV-2 main protease. Preparation details and summaries will be submitted to "Data in Brief". More data might be added as new version or another dataset.
DOI: 10.6073/pasta/8981bd3ad378f6ecd55122b30fd7ec73
title: Can environmental flows moderate riparian invasions? The influence of seedling morphology and density on scour losses in experimental floods

description: Predicting plant mortality during floods remains a key area of uncertainty for both river managers and ecologists, particularly how flood hydraulics and sediment dynamics interact with the plants’ own traits to influence their vulnerability to scour and burial. The three datasets in this archive were collected from a series of flume experiments that took place at the University of California, Berkeley’s Richmond Field Station. The flume experiments are part of a larger study, funded by NSF (EAR#1024820) that quantified reciprocal effects and feedbacks between riparian seedlings and river morphodynamics, using sand-bed rivers in the U.S. Southwest as the reference system. To quantify different plant species’ vulnerability to flooding across a range of plant sizes, patch densities, and sediment condition (equilibrium transport versus sediment deficit), we ran 10 experimental floods using live seedlings of cottonwood and tamarisk, which have contrasting morphologies. The three datasets include: 1. Plant responses (dislodgement or burial) to the experimental floods and plant size (e.g. stem height, root length, and dry weight) for all plants tested during the flume runs (N = 484, comprising 326 cottonwood and 158 tamarisk); 2. Plant morphological traits (e.g. frontal area, bending force, and root diameter) for a random subset of seedlings (n = 90, comprising 47 cottonwood and 43 tamarisk); and 3. Frontal area density for the same seedling subset.
DOI: 10.15483/1455026
title: ANL - WRF-LES - Convective - TTU

description: This dataset includes large-eddy simulation (LES) output from a convective atmospheric boundary layer (ABL) simulation of observations at the SWIFT tower near Lubbock, Texas on July 4, 2012. The dataset was used to assess the LES models for simulation of canonical convective ABL. The dataset can be used for comparison with other LES and computational fluid dynamics model outputs.
DOI: 10.15483/1455027
title: LANL - WRF-LES - Convective - TTU

description: This dataset includes large-eddy simulation (LES) output from a convective atmospheric boundary layer (ABL) simulation of observations at the SWIFT tower near Lubbock, Texas on July 4, 2012. The dataset was used to assess the LES models for simulation of canonical convective ABL. The dataset can be used for comparison with other LES and computational fluid dynamics model outputs.
DOI: 10.5281/zenodo.3948516
title: nata1iekat/GLM_invertebrate_traits_v1: GLM_invertebrate_traits_v1

description: Trait database of aquatic invertebrate traits assigned at the genus level for taxa found in floodplain wetlands of the Wolastoq | Saint John River, New Brunswick, Canada
description: {"references": ["Rideout N.K., Compson Z.C., Monk W.A., Bruce M.R., Hajibabaei M., Porter T.M., Wright M.T.G., Baird D.J. (2020). Deconstructing biodiversity-ecosystem function relationships: Filtering of macroinvertebrate traits in a large river floodplain. bioRxiv. https://doi.org/10.1101/2020.07.15.204008"]}
DOI: 10.5281/zenodo.6334005
title: MD simulation of POPC bilayer with CHARMM36 force field. 10 w/l.

description: MD simulation of POPC (1-palmitoyl-2-oleoyl-phosphatidylcholine) bilayer with CHARMM36 force field. 10 w/l. Dataset contains simulation files including trajectories (.xtc) (original production.xtc, and equilibrated and centered centered-75-500ns.xtc). System: POPC bilayer in water Number of lipids: 200 (100/leaflet) Number of waters: 2000 Simulation time: 500 ns Sampling rate: every 10 ps Simulation engine: GROMACS 2019.5 Temperature: 300 K
DOI: 10.5281/zenodo.6619563
title: MD simulation of POPC bilayer with OPLS3e force field, 200 mM NaCl part 2

description: MD simulation of POPC bilayer with OPLS3e force field, 200 mM NaCl part 2 (500-1000ns) Dataset contains trajectories (_trj) for the last 500ns of the 1000ns trajectory and topology (-out.cms). For the ease of the upload, trajectory files (_trj) are divided to 100ns pieces and tarred (named desmond_md_nacl200_x-xns.tar.gz) Dataset also contains Gromacs converted trajectory (.xtc) for the last 500 ns of 1000 ns trajectory System: POPC bilayer in water Number of lipids: 200 (100/leaflet) Number of waters: 8880 Concentration: 200 mM Number of cations: 32 Simulation time: 1000 ns (in this dataset 500-1000ns) Simulation engine: Desmond 2019-4 Temperature: 300 K Related dataset: MD simulation of POPC bilayer with OPLS3e force field, 200 mM NaCl part 1
DOI: 10.5281/zenodo.6908166
title: Result of ACS patients in the CCU who have and haven't Covid-19 for the last three months before the CCU admission

description: Result of Atorvastatin and Rosuvastatin used in ACS with patients who have and have not COVID-19 for the last three months before CCU admission
DOI: 10.26208/fv47-qz72
title: Prodigious amounts of hydrogen oxides generated by corona discharges on tree leaves

description: Prodigious amounts of the hydroxyl radical (OH) are generated by weak electrical discharges, such as corona discharges induced on trees during thunderstorms. As was observed in studies of sparks and subvisible discharges, corona discharges on leaves produce OH and hydroperoxyl (HO2) amounts that are several orders of magnitude larger than usual. Our laboratory studies demonstrate that production rates of OH and HO2 depend on the applied electric field that generates the corona discharge, leaf dryness, and the presence of liquid water on the leaf, but were independent of eight different leaf types and the corona discharge polarity for a given corona ultraviolet (UV) flux. Production rates of OH, HO2, and O3 strongly correlate with UV flux. Field measurements of OH, HO2, and O3 produced by corona discharges on trees are required to determine the importance of this production for global to local atmospheric oxidation and for tree and forest ecology.
DOI: 10.3886/icpsr35321.v3
title: General Social Survey, 1991
title: Version 3

description: The General Social Survey (GSS) conducts basic scientific research on the structure and development of American society with a data-collection program designed to both monitor societal change within the United States and to compare the United States to other nations. Begun in 1972, the GSS contains a standard 'core' of demographic, behavioral, and attitudinal questions, plus topics of special interest. Many of the core questions have remained unchanged since 1972 to facilitate time-trend studies as well as replication of earlier findings.
description: Datasets: 
 
 DS1: Dataset
description: computer-assisted personal interview (CAPI), face-to-face interview, telephone interview 
 Please note that NORC may have updated the General Social Survey data files. Additional information regarding the General Social Surveys can be found at the General Social Survey (GSS) Web site and the Roper Center Web site.
description: All noninstitutionalized, English and Spanish speaking persons 18 years of age or older, living in the United States. Smallest Geographic Unit: census region
DOI: 10.5281/zenodo.7011077
title: Dataset for "Characterization of a modified printed optical particle spectrometer for high-frequency and high-precision laboratory and field measurements."

description: <strong>The folder includes scripts and data to create figures in the manuscript titled "Characterization of a modified printed optical particle spectrometer for high-frequency and high-precision laboratory and field measurements."</strong>
DOI: 10.15483/1461206
title: Tower - TTU (SWiFT) Tower, All levels - Processed Data

description: This dataset includes processed sonic anemometer measurements at the 200-m SWIFT tower near Lubbock, Texas on July 4, 2012. Observations are of a canonical convective atmospheric boundary layer. Subgrid stresses and fluxes are computed by subtracting 15-min running average from the signals measured at 1 Hz.
DOI: 10.18462/iir.icr.2019.0134
title: Performance of R466A, a non-flammable replacement for R410A, in unitary air-conditioning and transport refrigeration.
DOI: 10.3886/e114886v1
title: Replication data for: The Trade-Offs of Welfare Policies in Labor Markets with Informal Jobs: The Case of the "Seguro Popular" Program in Mexico

description: In 2002, the Mexican government began an effort to improve health access to the 50 million uninsured in Mexico, a program known as Seguro Popular (SP). The SP offered virtually free health insurance to informal workers, altering the incentives to operate in the formal economy. We find that the SP program had a negative effect on the number of employers and employees formally registered in small and medium firms (up to 50 employees). Our results suggest that the positive gains of expanding health coverage should be weighed against the implications of the reallocation of labor away from the formal sector.
DOI: 10.5281/zenodo.1116508
title: Coding Data Of Manuscript "How Do Developers Utilize Source Code From Stack Overflow?"

description: This is the coding data for the manuscript "How Do Developers Utilize Source Code from Stack Overflow?".
DOI: 10.5281/zenodo.6619589
title: MD simulation of POPC bilayer with OPLS3e force field, 100 mM NaCl part 2

description: MD simulation of POPC bilayer with OPLS3e force field, 100 mM NaCl part 2 (500-1000ns) Dataset contains trajectories (_trj) for the last 500ns of the 1000ns trajectory, topology (-out.cms), and other files For the ease of the upload, trajectory files (_trj) are divided to 100ns pieces and tarred (named desmond_md_nacl100_x-xns.tar.gz) Dataset also contains Gromacs converted trajectory (.xtc) for the last 500 ns of 1000 ns trajectory System: POPC bilayer in water Number of lipids: 200 (100/leaflet) Number of waters: 8880 Concentration: 100 mM Number of cations: 16 Simulation time: 1000 ns (in this dataset 500-1000ns) Simulation engine: Desmond 2019-4 Temperature: 300 K Related dataset: MD simulation of POPC bilayer with OPLS3e force field, 100 mM NaCl part 1
DOI: 10.5281/zenodo.6940750
title: Dataset for "Intercomparison of methods to estimate gross primary production based on CO2 and COS flux measurements"

description: The final dataset used in manuscript "Intercomparison of methods to estimate gross primary production based on CO2 and COS flux measurements" by Kohonen et al. (2022). The dataset contains carbonyl sulfide (COS) and carbon dioxide (CO2) eddy covariance flux data and in-situ meteorological data measured at Hyytiälä forest in Juupajoki, Southern Finland, as well as GPP estimates derived from COS and CO2 flux measurements as described in the manuscript from January 2013 to December 2017. Raw data are available upon request from the author.
DOI: 10.5281/zenodo.6990803
title: Dataset for: Fire and forest loss in the Dominican Republic during the 21st Century

description: This dataset is required to reproduce the code for the manuscript entitled 'Fire and forest loss in the Dominican Republic during the 21st Century' Preprint: https://doi.org/10.1101/2021.06.15.448604 Code: https://github.com/geofis/forest-loss-fire-reproducible
DOI: 10.6084/m9.figshare.20728096
title: Supplementary Material for: Nintedanib-Induced Delayed Mucosal Healing after Adjuvant Radiation in a Case of Oropharyngeal Carcinoma

description: Since the launch of imatinib in 2001, tyrosine kinase inhibitors are being used in chemotherapy for a wide range of malignant tumors. Drugs that inactivate multiple molecular mechanisms are called multikinase inhibitors (MKIs). Nintedanib is a type of MKI that inhibits downstream cascades in three systems: vascular endothelial growth factor receptor, fibroblast growth factor receptor, and platelet-derived growth factor receptor inhibitions. It was initially developed as an anticancer drug for non-small-cell lung carcinoma; however, it was also found to inhibit the proliferation of fibroblasts associated with chronic inflammation in the lungs. Therefore, it is being more widely used to treat idiopathic pulmonary fibrosis, a benign disease, than as an antineoplastic agent. Several studies have reported adverse events associated with the concurrent use of MKIs with surgery or radiotherapy. Specifically, there has been a report cautioning against delayed wound healing associated with the use of nintedanib in patients undergoing surgery. However, there is no specific mention of its concurrent use during irradiation. We describe a case of a 72-year-old man with severely delayed recovery from radiation mucositis when nintedanib was being administered for benign disease.