cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.10295080
title: Gitome: A curated dataset for GitHub README-related tasks

description: About 
This repository contains the source code implementation used to replicate the experimental results obtained in the submitted to the 21st International Conference on Mining Software Repositories (MSR204).
"Gitome: A curated dataset for GitHub README-related tasks"
authored by:
Claudio Di Sipio, Juri Di Rocco, Riccardo Rubei, Phuong Than Nguyen, and Davide Di Ruscio,
Università degli Studi dell'Aquila, Italy
Data description 
The dataset is structured as follows: 

emf_metamodel.zip: It contains the Ecore project with the Gitome data model
existing_dumps.zip: It contains the existing datasets used to build Gitome
lang_aggr_stats.csv: It contains the language data to compute the statistics presented in the paper
langs.csv: It contains all the languages and their frequency
output_dataset.zip: It contains the benchmarking dataset obtained by parsing the README files
repository_lists.zip: It contains the list of repositories for each considered dataset (with possible duplicates)
topics.csv: It contains all the topics and their frequency
topics_aggr_stats.csv:  It contains the topics data to compute the statistics presented in the paper
gitome_repo.txt: It contains the list of the URLs of the considered GitHub repositories
 
How to collect Gitome
To collect all the data stored in this archive, please refer to the supporting Github repository https://github.com/MDEGroup/Gitome-MSR2024.
DOI: 10.5281/zenodo.10311456
title: Gitome: A curated dataset for GitHub README-related tasks

description: About 
This repository contains the source code implementation used to replicate the experimental results obtained in the submitted to the 21st International Conference on Mining Software Repositories (MSR204).
"Gitome: A curated dataset for GitHub README-related tasks"
authored by:
Claudio Di Sipio, Juri Di Rocco, Riccardo Rubei, Phuong Than Nguyen, and Davide Di Ruscio,
Università degli Studi dell'Aquila, Italy
Data description 
The dataset is structured as follows: 

emf_metamodel.zip: It contains the Ecore project with the Gitome data model
existing_dumps.zip: It contains the existing datasets used to build Gitome
lang_aggr_stats.csv: It contains the language data to compute the statistics presented in the paper
langs.csv: It contains all the languages and their frequency
output_dataset.zip: It contains the benchmarking dataset obtained by parsing the README files
repository_lists.zip: It contains the list of repositories for each considered dataset (with possible duplicates)
topics.csv: It contains all the topics and their frequency
topics_aggr_stats.csv:  It contains the topics data to compute the statistics presented in the paper
gitome_repo.txt: It contains the list of the URLs of the considered GitHub repositories
 
How to collect Gitome
To collect all the data stored in this archive, please refer to the supporting Github repository https://github.com/MDEGroup/Gitome-MSR2024.
DOI: 10.5281/zenodo.10258684
title: High resolution simulation plume data for Sensitivities of Large Eddy Simulations of Aerosol Plume Transport and Cloud Response

description: This record contains data files of concentrations of an inert plume tracer variable used in analysis and figures for the manuscript "Sensitivities of Large Eddy Simulations of Aerosol Plume Transport and Cloud Response." Additional directories mentioned in this description can be found by unzipping the "Dataset.tar.gz" file contained in the complementary record 10.5281/zenodo.10278558 .
To recreate the figures of the manuscript, unzip the file "plumes.tar.gz" inside the directory "Sim_3". This file contains results from simulations using the PINACLES model. Unzip the file "UW_data.tar.gz" file inside inside the "Clean_Scripts" directory. This file contains results from simulations using the SAM-UW model.
 
description: Acknowledgments: This research was supported by the Atmospheric System Research (ASR) program as part of the U.S. Department of Energy (DOE) Office of Biological and Environmental Research under Pacific Northwest National Laboratory (PNNL) projects 57131 and 76858. PNNL is operated by DOE by the Battelle Memorial Institute under Contract DE-A06-76RLO 1830. 
This research used resources of the National Energy Research Scientific Computing Center (NERSC), a U.S. Department of Energy Office of Science User Facility located at Lawrence Berkeley National Laboratory, operated under Contract No. DE-AC02-05CH11231 using NERSC award BER-ERCAP0022771.
DOI: 10.5281/zenodo.10278509
title: High resolution simulation plume data for Sensitivities of Large Eddy Simulations of Aerosol Plume Transport and Cloud Response

description: This record contains data files of concentrations of an inert plume tracer variable used in analysis and figures for the manuscript "Sensitivities of Large Eddy Simulations of Aerosol Plume Transport and Cloud Response." Additional directories mentioned in this description can be found by unzipping the "Dataset.tar.gz" file contained in the complementary record 10.5281/zenodo.10278558 .
To recreate the figures of the manuscript, unzip the file "plumes.tar.gz" inside the directory "Sim_3". This file contains results from simulations using the PINACLES model. Unzip the file "UW_data.tar.gz" file inside inside the "Clean_Scripts" directory. This file contains results from simulations using the SAM-UW model.
 
description: Acknowledgments: This research was supported by the Atmospheric System Research (ASR) program as part of the U.S. Department of Energy (DOE) Office of Biological and Environmental Research under Pacific Northwest National Laboratory (PNNL) projects 57131 and 76858. PNNL is operated by DOE by the Battelle Memorial Institute under Contract DE-A06-76RLO 1830. 
This research used resources of the National Energy Research Scientific Computing Center (NERSC), a U.S. Department of Energy Office of Science User Facility located at Lawrence Berkeley National Laboratory, operated under Contract No. DE-AC02-05CH11231 using NERSC award BER-ERCAP0022771.
DOI: 10.5281/zenodo.10251952
title: Data and Code for Sensitivities of Large Eddy Simulations of Aerosol Plume Transport and Cloud Response

description: This record provides code, analysis notebooks, numerical model input files and data associated with the manuscript "Sensitivities of Large Eddy Simulations of Aerosol Plume Transport and Cloud Response."
The file "simulation_table.pdf" defines the key model settings that differentiate the set of simulations (identified by a number 1 through 12).
The file "Dataset.tar.gz" provides simulation input files (namelist files) and output files from each simulation that are needed to reproduce the figures of the manuscript (with the exception noted below). It also contains Jupyter notebooks that can be used to create the figures.
The file "PINACLES_forPlumeStudy.tar" contains a version of the large eddy simulation modeling code used to perform the simulations. 
To reproduce all figures, also obtain the data here: 10.5281/zenodo.10278509
description: Acknowledgments: This research was supported by the Atmospheric System Research (ASR) program as part of the U.S. Department of Energy (DOE) Office of Biological and Environmental Research under Pacific Northwest National Laboratory (PNNL) projects 57131 and 76858. PNNL is operated by DOE by the Battelle Memorial Institute under Contract DE-A06-76RLO 1830. 
Development of the aerosol-enabled microphysical scheme used in this study was supported by DOE grant DE-SC0020134. It includes contributions from Hugh Morrison, Andrew Berner, Chris Bretherton, Matthew Wyant and Peter Blossey.
This research used resources of the National Energy Research Scientific Computing Center (NERSC), a U.S. Department of Energy Office of Science User Facility located at Lawrence Berkeley National Laboratory, operated under Contract No. DE-AC02-05CH11231 using NERSC award BER-ERCAP0022771.
DOI: 10.5281/zenodo.10278558
title: Data and Code for Sensitivities of Large Eddy Simulations of Aerosol Plume Transport and Cloud Response

description: This record provides code, analysis notebooks, numerical model input files and data associated with the manuscript "Sensitivities of Large Eddy Simulations of Aerosol Plume Transport and Cloud Response."
The file "simulation_table.pdf" defines the key model settings that differentiate the set of simulations (identified by a number 1 through 12).
The file "Dataset.tar.gz" provides simulation input files (namelist files) and output files from each simulation that are needed to reproduce the figures of the manuscript (with the exception noted below). It also contains Jupyter notebooks that can be used to create the figures.
The file "PINACLES_forPlumeStudy.tar" contains a version of the large eddy simulation modeling code used to perform the simulations. 
To reproduce all figures, also obtain the data here: 10.5281/zenodo.10278509
description: Acknowledgments: This research was supported by the Atmospheric System Research (ASR) program as part of the U.S. Department of Energy (DOE) Office of Biological and Environmental Research under Pacific Northwest National Laboratory (PNNL) projects 57131 and 76858. PNNL is operated by DOE by the Battelle Memorial Institute under Contract DE-A06-76RLO 1830. 
Development of the aerosol-enabled microphysical scheme used in this study was supported by DOE grant DE-SC0020134. It includes contributions from Hugh Morrison, Andrew Berner, Chris Bretherton, Matthew Wyant and Peter Blossey.
This research used resources of the National Energy Research Scientific Computing Center (NERSC), a U.S. Department of Energy Office of Science User Facility located at Lawrence Berkeley National Laboratory, operated under Contract No. DE-AC02-05CH11231 using NERSC award BER-ERCAP0022771.
DOI: 10.3886/e195723
title: 2016-2017; Southeastern United States; Middle School Static Digital Reading

description: Digital reading is ubiquitous, yet understanding digital reading processes and links to comprehension remain underdeveloped. Guided by New Literacies and Active Reading theories, this study explored the reading behaviors and comprehension of thirteen 5th graders who read static digital texts. We coded for the quantity and quality of digital reading behaviors and employed action path diagrams to connect behaviors to comprehension. We used timescape analyses to visualize how behaviors were orchestrated differently across readers. Findings showed no single behavior was related directly to comprehension, indicating varying pathways to digital reading success. Occasional re-reading seemed to support active reading and improved comprehension. Instances of students subverting expected digital tools were observed. Minor distractions like mind-wandering did not link to poor performance. This research deepens our understanding of self-monitoring and active reading in static digital contexts, offering insights for future study of more complex digital reading contexts like reading on the internet.<br>
description: coded video observation;
DOI: 10.3886/e195723v1
title: 2016-2017; Southeastern United States; Middle School Static Digital Reading

description: Digital reading is ubiquitous, yet understanding digital reading processes and links to comprehension remain underdeveloped. Guided by New Literacies and Active Reading theories, this study explored the reading behaviors and comprehension of thirteen 5th graders who read static digital texts. We coded for the quantity and quality of digital reading behaviors and employed action path diagrams to connect behaviors to comprehension. We used timescape analyses to visualize how behaviors were orchestrated differently across readers. Findings showed no single behavior was related directly to comprehension, indicating varying pathways to digital reading success. Occasional re-reading seemed to support active reading and improved comprehension. Instances of students subverting expected digital tools were observed. Minor distractions like mind-wandering did not link to poor performance. This research deepens our understanding of self-monitoring and active reading in static digital contexts, offering insights for future study of more complex digital reading contexts like reading on the internet.<br>
description: coded video observation;
DOI: 10.6084/m9.figshare.24789294
title: Supplemental Dataset S2

description: Supplementary dataset 2 includes all differentially expressed genes between HB (P3) and A (P5) samples across six time points (A-F).
DOI: 10.6084/m9.figshare.24789294.v1
title: Supplemental Dataset S2

description: Supplementary dataset 2 includes all differentially expressed genes between HB (P3) and A (P5) samples across six time points (A-F).
DOI: 10.3886/e195724
title: Making the Grade: The Effect of Teacher Grading Standards on Student Outcomes

description: One mechanism by which teachers might affect student learning is through the grading standards they set for their classrooms. However, the effects of grading standards on student outcomes are understudied. Using administrative data that links individual students and teachers in Algebra I classrooms from 2006 to 2016, we examine the effects of teachers' grading standards on student learning and attendance. High teacher grading standards increase both contemporaneous student achievement in Algebra I and performance in subsequent math classes. Heterogeneity analyses find that these impacts are positive and similar in size for students of different backgrounds, aptitudes, and school contexts.<br><br>
description: Algebra I teachers in North Carolina Public Schools and the students assigned them in 8th and 9th grade.<br>.
DOI: 10.3886/e112975v1-143658
title: Replication data for: A Macroeconomic Model of Price Swings in the Housing Market

description: This paper shows that a macro model with segmented financial markets can generate sizable movements in housing prices in response to changes in credit conditions. We establish theoretically that reductions in mortgage rates always have a positive effect on prices, whereas the relaxation of loan-to-value constraints has ambiguous effects. A quantitative version of the model under perfect foresight accounts for about one-half of the observed price increase in the United States in the 2000s. When we include shocks to expectations about housing finance conditions, the model's ability to match house values improves significantly. The framework reconciles the observed disconnect between house prices and rents since, in general equilibrium, financial shocks can decrease rents and increase prices.
DOI: 10.6073/pasta/89349871ed02e00134bc83591f91c3b1
title: Soil Carbon and Nitrogen at the Harvard Farm at Harvard Forest since 2015

description: These data represent baseline soil bulk density and total soil carbon and nitrogen concentrations for the three grazing treatments at Harvard Farm: hay (no grazing), rotational grazing, and intensive grazing. These samples were collected at the beginning of the study, so any differences across plots or treatments are due to inherent soil variability at the site rather than the treatments themselves. These data were collected to establish the starting conditions with which to compare potential treatment effects at later sampling dates.
DOI: 10.6073/pasta/6ac8a0e8ee0d2b45252ebdacdac4bfee
title: Leaf and Soil Nitrogen Following Lymantria dispar Defoliation in Central Massachusetts 2018-2019

description: In this study we investigated relationships between ecosystem nitrogen (N) cycling and tree defoliation during a recent 2015-2018 irruption of invasive Lymantria dispar caterpillars, which can cause tree stress and sometimes mortality following multiple years of defoliation. Nitrogen is a critical nutrient that limits the growth of caterpillars and plants in temperate forests. We assessed the associations between N concentrations, soil solution inorganic N availability, and defoliation intensity by L. dispar at the scale of individual trees in the Amherst, MA area and forest plots in the Quabbin Reservoir area.
DOI: 10.6073/pasta/11125996c92d36e5352149f87b8a2bd8
title: Foundation Species in Forest Dynamics Plots of China 2004-2014

description: Foundation species structure forest communities and ecosystems but are difficult to identify without long-term observations or experiments. We used statistical criteria---outliers from size-frequency distributions and scale-dependent negative effects on alpha diversity and positive effects on beta diversity---to identify candidate foundation woody plant species in 12 large forest-dynamics plots spanning 26 degrees of latitude in China. We used these data to: [1] identify candidate foundation species in Chinese forests; [2] test the hypothesis---based on observations of a mid-latitude peak in functional trait diversity and high local species richness but few numerically dominant species in tropical forests---that foundation woody plant species are more frequent in temperate than tropical or boreal forests; and [3] compare these results with data from the Americas to suggest candidate foundation genera in Northern Hemisphere forests. Using the most stringent criteria, only two species of Acer, the canopy tree Acer ukurunduense and the shrubby treelet Acer barbinerve, were identified in temperate plots as candidate foundation species. Using more relaxed criteria, we identified four times more candidate foundation species in temperate plots (including species of Acer, Pinus, Juglans, Padus, Tilia, Fraxinus, Prunus, Taxus, Ulmus, and Corlyus) than in (sub)tropical plots (the shrubs or treelets Aporosa yunnanensis, Ficus hispida, Brassaiopsis glomerulata, and Orophea laui). Species diversity of co-occurring woody species was negatively associated with basal area of candidate foundation species more frequently at 5- and 10-m spatial grains (scale) than at a 20-m grain. Conversely, Bray-Curtis dissimilarity was positively associated with basal area of candidate foundation species more frequently at 5-m than at 10- or 20-m grains. Using either stringent or relaxed criteria supported the hypothesis that foundation species are more common in mid-latitude temperate forests. Comparisons of candidate foundation species in Chinese and North American forests suggest that Acer be investigated further as a foundation tree genus.
DOI: 10.3886/e180881v1
title: Data and Code for: Affirmative Action and Pre-College Human Capital

description: Racial affirmative action policies are widespread in college admissions. Yet, evidence on their effects before college is limited. Using four data sets, we study a U.S. Supreme Court ruling that reinstated affirmative action in three states. Using nationwide SAT data for difference-in-differences and synthetic control analyses, we separately identify the aggregate effects of affirmative action for whites and underrepresented minorities. Using statewide Texas administrative data, we measure the effect of affirmative action on racial gaps across the pre-treatment test score distribution. When affirmative action is reinstated, racial gaps in SAT scores, grades, attendance, and college applications fall. Average SAT scores for both whites and minorities increase, suggesting that reductions in racial gaps are driven by improvements in minorities' outcomes. Increases in minorities' pre-college human capital and college applications are concentrated in the top half of the test score distribution among students with the largest increases in their returns to human capital investment in college admissions following the policy.
description: TEA data: all Texas students <br>SAT data: Aggregates created from all US test-takers<br><br>.
DOI: 10.21985/n2-mztq-fh18
title: rCRS probes for haplogroup-defining variants
DOI: 10.3886/e170861
title: Data and Code for: "The Unintended Consequences of Test-Based Remediation"

description: We provide STATA do files and log files for our paper entitled "The Unintended Consequences of Test-Based Remediation". <br><br>We employ confidential data from Florida school districts that we are unable to share with researchers. Interested researchers may write individual data requests to Florida school districts. The Florida Departments of Education and Health can also provide similar data to those used in the present study. We are unable to identify the school districts that participated in the study.
DOI: 10.3886/e170861v1
title: Data and Code for: "The Unintended Consequences of Test-Based Remediation"

description: We provide STATA do files and log files for our paper entitled "The Unintended Consequences of Test-Based Remediation". <br><br>We employ confidential data from Florida school districts that we are unable to share with researchers. Interested researchers may write individual data requests to Florida school districts. The Florida Departments of Education and Health can also provide similar data to those used in the present study. We are unable to identify the school districts that participated in the study.
DOI: 10.6084/m9.figshare.24155763
title: MATRIX DATA

description: Matrix data of paper titled "Leaderboards or badges in two gamified forums: motivational and engagement differences"
DOI: 10.6084/m9.figshare.24155763.v1
title: MATRIX DATA

description: Matrix data of paper titled "Leaderboards or badges in two gamified forums: motivational and engagement differences"
DOI: 10.5281/zenodo.8122164
title: Dataset: The unusual gene architecture of polyubiquitin is created by dual-specific splice sites

description: Data for the research paper "The unusual gene architecture of polyubiquitin is created by dual-specific splice sites".
DOI: 10.5281/zenodo.10358523
title: Dataset: The unusual gene architecture of polyubiquitin is created by dual-specific splice sites

description: Data for the research paper "The unusual gene architecture of polyubiquitin is created by dual-specific splice sites".
DOI: 10.5281/zenodo.8101789
title: Dataset: The unusual gene architecture of polyubiquitin is created by dual-specific splice sites

description: Data for the research paper "The unusual gene architecture of polyubiquitin is created by dual-specific splice sites".
DOI: 10.5281/zenodo.8101790
title: polyubiquitin-dss data

description: Data for the research paper "The unusual gene architecture of polyubiquitin is created by dual-specific splice sites".
DOI: 10.5281/zenodo.8102262
title: polyubiquitin-dss data

description: Data for the research paper "The unusual gene architecture of polyubiquitin is created by dual-specific splice sites".
DOI: 10.5281/zenodo.8117835
title: polyubiquitin-dss data

description: Data for the research paper "The unusual gene architecture of polyubiquitin is created by dual-specific splice sites".
DOI: 10.5517/ccdc.csd.cc2gwmpp
title: CCDC 2290673: Experimental Crystal Structure Determination

description: Related Article: Zhiyong Wang|2023|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2gxg62
title: CCDC 2291464: Experimental Crystal Structure Determination

description: Related Article: Yingcai Wang, Guangli Nie, Xingshun Wang, Wei Ge, Yandong Zhang|2023|Bioorg.Med.Chem.Lett.|96|129505|doi:10.1016/j.bmcl.2023.129505
description: Related Article: YIngcai Wang, Guangli Nie, Xingshun Wang, Wei Ge, Yandong  Zhang|2023|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.