cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5066/p9ibsw71
title: Survey of first-floor elevations of buildings in the Lake Champlain floodplain, Vermont, 2020

description: In August 2020, the U.S. Geologic Survey acquired high-precision survey data of first-floor doorway threshold elevations at buildings in the Lake Champlain floodplain in Vermont. For a representative sample of buildings within the 106 feet (National Geodetic Vertical Datum of 1929) stage boundary of the regional flood-inundation map (Flynn and Hayes, 2019), 153 buildings, or nearly 12 percent of the total buildings, were surveyed. These data consist of Global Navigation Satellite System-derived orthometric heights in the North American Vertical Datum of 1988, which were measured by trigonometric leveling with a total station. Included in this data release are the raw and processed leveling control point data (unprocessed and processed GNSS benchmark and reference mark data, notes, and photographs), processed survey data for the first-floor elevations, scanned field notes, photographs from each field site, and a site map. Reference: Flynn, R.H., and Hayes, L., 2019, Flood-inundation maps for Lake Champlain in Vermont and New York: U.S. Geological Survey Scientific Investigations Report 2018-5169, 14 p., https://doi.org/10.3133/sir20185169. [Supersedes USGS Scientific Investigations Report 2016-5060.]
DOI: 10.6084/m9.figshare.13217696.v2
title: Whole proteome-level NetworKIN predictions

description: This is the expanded set of all predictions for NetworKIN, run on the entire reference proteome, including sites not known to be phosphorylated. This dataset is used to perform a fast update when new phosphosites are discovered. The uncompressed folder will yield a large CSV file with predictions in list format (i.e. one line per kinase-substrate prediction)<br>Columns in this order:substrate_id - unique substrate (accession_site) IDsubstrate_acc - Uniprot accession of substrate proteinsubstrate_name - Name of proteinsite - amino acid type and position (S5, means serine position 5)pep - 15-amino acid sequence centered on site of phosphorylationscore - prediction algorithm scoreKinase Name - name of kinase by our controlled ontology (found in this project) <br>Each entry indicates the protein at position (identified by peptide ) has a score weight prediction of with kinase .<br>
DOI: 10.6084/m9.figshare.13217696.v1
title: Whole proteome-level NetworKIN predictions

description: This is the expanded set of all predictions for NetworKIN, run on the entire reference proteome, including sites not known to be phosphorylated. This dataset is used to perform a fast update when new phosphosites are discovered. The uncompressed folder will yield a large CSV file with predictions in list format (i.e. one line per kinase-substrate prediction)<br>Columns in this order:substrate_id - unique substrate (accession_site) IDsubstrate_acc - Uniprot accession of substrate proteinsubstrate_name - Name of proteinsite - amino acid type and position (S5, means serine position 5)pep - 15-amino acid sequence centered on site of phosphorylationscore - prediction algorithm scoreKinase Name - name of kinase by our controlled ontology (found in this project) <br>Each entry indicates the protein at position (identified by peptide ) has a score weight prediction of with kinase .<br>
DOI: 10.6084/m9.figshare.13217696
title: Whole proteome-level NetworKIN predictions

description: This is the expanded set of all predictions for NetworKIN, run on the entire reference proteome, including sites not known to be phosphorylated. This dataset is used to perform a fast update when new phosphosites are discovered. The uncompressed folder will yield a large CSV file with predictions in list format (i.e. one line per kinase-substrate prediction)<br>Columns in this order:substrate_id - unique substrate (accession_site) IDsubstrate_acc - Uniprot accession of substrate proteinsubstrate_name - Name of proteinsite - amino acid type and position (S5, means serine position 5)pep - 15-amino acid sequence centered on site of phosphorylationscore - prediction algorithm scoreKinase Name - name of kinase by our controlled ontology (found in this project) <br>Each entry indicates the protein at position (identified by peptide ) has a score weight prediction of with kinase .<br>
DOI: 10.5281/zenodo.4265224
title: Replication R code and data for "Geometric morphometric investigation of craniofacial morphological change in domesticated silver foxes"

description: This repository holds various files and R code used in the publication of the manuscript entitled "Geometric morphometric investigation of craniofacial morphological change in domesticated silver foxes". Data files include: The 3D landmark coordinates of each individual specimen (Fox_data_Morphologika.txt), the linear measurement data associated with those foxes (fox_linear_volume_data.csv), and replication data measurements. The following files include the R code used to perform the analyses contained within the paper: 1_Procrustes_analysis - details the Geometric morphometrics analyses performed 2_linear_models - details the model specification for the GLS models employed in the paper 3_graph_code - contains R script for the creation of the graphs displayed in the paper 4_repeatability_script - contains R code that details the statistical calculations made with the repeatability measurements indicated above.
DOI: 10.5281/zenodo.4271504
title: Influence of Atmospheric Parameters on Human Mortality data at Different Geographical Levels. Script and DataBase

description: The script and dataBase uploaded was developed to assess the association between human mortality data (segregated by age groups and sex) with meteorological and air pollutant covariates at three geographical levels: country, macro-climate regions, and county. The modeling was based on a generalized linear modeling framework, and it takes into account the common characteristic of overdispersion in human mortality data through the application of negative binomial distribution.
DOI: 10.5281/zenodo.4271503
title: Influence of Atmospheric Parameters on Human Mortality data at Different Geographical Levels. Script and DataBase

description: The script and dataBase uploaded was developed to assess the association between human mortality data (segregated by age groups and sex) with meteorological and air pollutant covariates at three geographical levels: country, macro-climate regions, and county. The modeling was based on a generalized linear modeling framework, and it takes into account the common characteristic of overdispersion in human mortality data through the application of negative binomial distribution.
DOI: 10.6084/m9.figshare.13237286
title: Indiana Food Manufacturing 2009/2017

description: Socioeconomic determinants of change in food manufacturing between 2009 and 2017.
DOI: 10.6084/m9.figshare.13237286.v2
title: Indiana Food Manufacturing 2009/2017

description: Socioeconomic determinants of change in food manufacturing between 2009 and 2017.
DOI: 10.6084/m9.figshare.13237286.v1
title: Indiana Food Manufacturing 2009/2017

description: Socioeconomic determinants of change in food manufacturing between 2009 and 2017.
DOI: 10.25345/c5gn3j
title: MassIVE MSV000086454 - Anterograde Regulation of Nuclear-encoded Mitochondrial Genes and FGF21 Signaling by Hepatic Histone Demethylase LSD1
title: Submission of proteomic analysis for LSD1 interacting proteins and targeted analysis of post-translationally modified NMNAT peptides
DOI: 10.21227/7ma1-mh30
title: Hybrid_baseline

description: The approach consists of two steps: dealing missing data and predicting values for the next year. The missing data problem is managed by means of a hybrid approach using linear regression for singular missing values and a clustering procedure for a large set of missing ones. As for the prediction phase, a simple baseline method is used.
DOI: 10.5281/zenodo.4273107
title: The Collection Management System Collection - Crowd-sourcing a list of digital repository options

description: <strong>The Collection Management System Collection - Crowd-sourcing a list of digital repository options</strong> This dataset contains a list of digital repository options for collection management systems. It has been started and complited by Ashley Blewer.<br> The data set contains: a PDF capture of the blog describing motivation and background, columns of the spreadsheet and further resources; originally published at https://bits.ashleyblewer.com/blog/2017/08/09/collection-management-system-collection/ The dataset / spreadsheet of The Collection Management System Collection, originally published at https://docs.google.com/spreadsheets/d/1cXOug3qM0pNNeD_wssiVEv9c0W1Y5I1VDTnSPTk7fb4/<br> The data was exported from the google spreadsheet on November 14th 2020 into the following formats: PDF XLSX CSV TSV The list contains basic information, administration considerations, interface considerations, technical considerations and social considerations for 70 different repository systems.
DOI: 10.5281/zenodo.4273106
title: The Collection Management System Collection - Crowd-sourcing a list of digital repository options

description: <strong>The Collection Management System Collection - Crowd-sourcing a list of digital repository options</strong> This dataset contains a list of digital repository options for collection management systems. It has been started and complited by Ashley Blewer.<br> The data set contains: a PDF capture of the blog describing motivation and background, columns of the spreadsheet and further resources; originally published at https://bits.ashleyblewer.com/blog/2017/08/09/collection-management-system-collection/ The dataset / spreadsheet of The Collection Management System Collection, originally published at https://docs.google.com/spreadsheets/d/1cXOug3qM0pNNeD_wssiVEv9c0W1Y5I1VDTnSPTk7fb4/<br> The data was exported from the google spreadsheet on November 14th 2020 into the following formats: PDF XLSX CSV TSV The list contains basic information, administration considerations, interface considerations, technical considerations and social considerations for 70 different repository systems.
DOI: 10.34740/kaggle/dsv/1643847
title: Turkey Covid-19 Dataset
DOI: 10.6084/m9.figshare.7392242
title: Stakeholder - Social Commentary

description: Concepts maps and content analysis generated using Leximancer for the stakeholder group, Social Commentary, a component of thesis, the Socioethical Implications of Body Worn Computers: An Ethnographic Study. This research was conducted in the Faculty of Engineering and Information Systems, School of Computing and Information Technology (SCIT) at the University of Wollongong with research strength Innovation in Business & Social Research under Principal Supervisor Professor Katina Michael (University of Wollongong) and Associate Supervisor Dr Teemu Leinonen (Aalto University Finland). The full thesis can be accessed at https://ro.uow.edu.au/theses1/853
DOI: 10.6084/m9.figshare.7392242.v1
title: Stakeholder - Social Commentary

description: Concepts maps and content analysis generated using Leximancer for the stakeholder group, Social Commentary, a component of thesis, the Socioethical Implications of Body Worn Computers: An Ethnographic Study. This research was conducted in the Faculty of Engineering and Information Systems, School of Computing and Information Technology (SCIT) at the University of Wollongong with research strength Innovation in Business & Social Research under Principal Supervisor Professor Katina Michael (University of Wollongong) and Associate Supervisor Dr Teemu Leinonen (Aalto University Finland). The full thesis can be accessed at https://ro.uow.edu.au/theses1/853
DOI: 10.5281/zenodo.4273186
title: Development, Education, and Implementation of a Low-Cost Audio Sensor-based Autonomous Surveillance System for Smart and Connected Transportation Infrastructure Construction and Maintenance

description: Each DOT has to govern and oversee an enormous number of transportation construction and maintenance projects. However, since a transportation construction project entails several miles of a job site including numerous work tasks and equipment operations, it has been increasingly challenging for each DOT to consistently monitor progress of all projects in each State as well as efficiently evaluate work performance. In particular, with limited human resources and time, DOTs in Region 6 States have managed large-scale transportation construction and maintenance projects by a human inspection and recovered direct and indirect damages of transportation infrastructure systems caused from the recent natural disasters. In this demanding situation, DOT practitioners and project managers have long recognized the importance of automated monitoring and surveillance of transportation construction and maintenance processes that helps consistently track work progress and take immediate remedial action. As one promising supplement for site monitoring and human inspection, this project proposes a new approach for low-cost audio sensor-based autonomous site and safety surveillance of transportation construction and maintenance, which allows for faster, more convenient, and more accurate work zone monitoring. The proposed innovation using the sound-based site and safety monitoring framework possesses several competitive advantages over traditional site management and existing vision-based work monitoring methods, which not only sounds can be easily recognized and instantly analyzed by diverse sound sensors. In addition, this sound-based monitoring approach supports an unlimited range of monitoring angles and illumination levels with lightweight data processing and comparatively quick analytics. To achieve these goals, this study developed a low-cost wearable audio-sensor for automated work zone monitoring and real-time activity log generation. This new intelligent site and safety surveillance system is expected to support real-time monitoring of construction progress, evaluation of task performance, and rapid identification of safety issues in transportation construction and maintenance projects.
description: Tran-SET Project: 19PPLSU12
DOI: 10.5281/zenodo.4273185
title: Development, Education, and Implementation of a Low-Cost Audio Sensor-based Autonomous Surveillance System for Smart and Connected Transportation Infrastructure Construction and Maintenance

description: Each DOT has to govern and oversee an enormous number of transportation construction and maintenance projects. However, since a transportation construction project entails several miles of a job site including numerous work tasks and equipment operations, it has been increasingly challenging for each DOT to consistently monitor progress of all projects in each State as well as efficiently evaluate work performance. In particular, with limited human resources and time, DOTs in Region 6 States have managed large-scale transportation construction and maintenance projects by a human inspection and recovered direct and indirect damages of transportation infrastructure systems caused from the recent natural disasters. In this demanding situation, DOT practitioners and project managers have long recognized the importance of automated monitoring and surveillance of transportation construction and maintenance processes that helps consistently track work progress and take immediate remedial action. As one promising supplement for site monitoring and human inspection, this project proposes a new approach for low-cost audio sensor-based autonomous site and safety surveillance of transportation construction and maintenance, which allows for faster, more convenient, and more accurate work zone monitoring. The proposed innovation using the sound-based site and safety monitoring framework possesses several competitive advantages over traditional site management and existing vision-based work monitoring methods, which not only sounds can be easily recognized and instantly analyzed by diverse sound sensors. In addition, this sound-based monitoring approach supports an unlimited range of monitoring angles and illumination levels with lightweight data processing and comparatively quick analytics. To achieve these goals, this study developed a low-cost wearable audio-sensor for automated work zone monitoring and real-time activity log generation. This new intelligent site and safety surveillance system is expected to support real-time monitoring of construction progress, evaluation of task performance, and rapid identification of safety issues in transportation construction and maintenance projects.
description: Tran-SET Project: 19PPLSU12
DOI: 10.5281/zenodo.3870965
title: MIPLIB 0-1 instances in OPB format

description: 0-1 integer linear programming instances from the MIPLIB benchmark sets, converted to OPB, the pseudo-Boolean optimization format. The MIPLIB benchmark sets used are MIPLIB 2, 3, 2003, 2010 and 2017. Links to these benchmark sets are available on http://miplib.zib.de/links.html. The original paper for which these instances were created (Learn to Relax: Integrating 0-1 Integer Linear Programming with Pseudo-Boolean Conflict-Driven Search - 2020) incorrectly describes this benchmark set as consisting only of MIPLIB 2017 instances. Since few MIPLIB instances are pure decision problems, we created additional decision versions of the optimization problems. For this, we constructed a first instance by replacing the objective function with a constraint stating that the objective should be at least the best known value, and a second where the objective should be strictly better. To reduce integer values to a value of at most 10^9, some of the instances were rescaled.
DOI: 10.5281/zenodo.3870964
title: MIPLIB 0-1 instances in OPB format

description: 0-1 integer linear programming instances from the MIPLIB benchmark sets, converted to OPB, the pseudo-Boolean optimization format. The MIPLIB benchmark sets used are MIPLIB 2, 3, 2003, 2010 and 2017. Links to these benchmark sets are available on http://miplib.zib.de/links.html. The original paper for which these instances were created (Learn to Relax: Integrating 0-1 Integer Linear Programming with Pseudo-Boolean Conflict-Driven Search - 2020) incorrectly describes this benchmark set as consisting only of MIPLIB 2017 instances. Since few MIPLIB instances are pure decision problems, we created additional decision versions of the optimization problems. For this, we constructed a first instance by replacing the objective function with a constraint stating that the objective should be at least the best known value, and a second where the objective should be strictly better. To reduce integer values to a value of at most 10^9, some of the instances were rescaled.
DOI: 10.3886/e126481v1
title: In or Out of Sync: Federal Funding and Research in Early Childhood

description: This memo documents the data files and analysis files used to generate the estimates found in “In or Out of Sync: Federal Funding and Research in Early Childhood” in AERAOpen, 2020. The repository consists of:<br>1. Read me: Data Overview and Instruction<br>2. Data ("AERA_Text Mining_Raw Data.csv")<br>3. R Sript ("AERA_Text Mining_Script.R")<br><br>Abstract<br>Understanding the relation between federal investment and research has implications for promoting science production in early childhood, a rapidly expanding area in education research and policy. Federally-funded research has shaped fundamental issues in early childhood, yet few studies have systematically examined the relation between federal investment and publication output. Our study applies topic modeling and regression analyses on a text corpus of 15,608 publication and grant abstracts in early childhood education to distill the most prominent topics, and the relationship between grant funding and later publications within these topics. We find that grants topics focused on health and early intervention, while publications covered a wider interdisciplinary range. A topic’s prevalence in grants, as a proxy of federal investment, was positively associated with its prevalence in publications in the following year. The study illustrates the affordances of textual analyses and contributes insights about how federal investment motivates scholarly production.
DOI: 10.3886/e126461v1
title: State Prekindergarten Effects on Early Learning at Kindergarten Entry: An Analysis of Eight State Programs

description: State-funded prekindergarten (preK) programs are increasingly common across the country. This study estimated the effects of eight state-funded preK programs (Arkansas, California, Michigan, New Jersey, New Mexico, Oklahoma, South Carolina, and West Virginia) on children’s learning using a regression discontinuity design. These programs vary with respect to the population served, program design, and context. Weighted average effect sizes from instrumental variables analyses across these states are 0.24 for language (vocabulary), 0.44 for math, and 1.10 for emergent literacy. Differences in effect sizes by domain suggest that preK programs should attend more to enhancing learning beyond simple literacy skills. State preK programs appear to differ in their effects. We offer recommendations for more rigorous, regular evaluation.
DOI: 10.3886/e126502
title: Mediating Instructional Reform

description: This was a qualitative study of the relationship between district policy and instructional coaches’ work.
description: face-to-face interview;
DOI: 10.3886/e126502v1
title: Mediating Instructional Reform

description: This was a qualitative study of the relationship between district policy and instructional coaches’ work.
description: face-to-face interview;
DOI: 10.3886/e126481
title: In or Out of Sync: Federal Funding and Research in Early Childhood

description: This memo documents the data files and analysis files used to generate the estimates found in “In or Out of Sync: Federal Funding and Research in Early Childhood” in AERAOpen, 2020. The repository consists of:<br>1. Read me: Data Overview and Instruction<br>2. Data ("AERA_Text Mining_Raw Data.csv")<br>3. R Sript ("AERA_Text Mining_Script.R")<br>4. Online materials_Table A: List of journals included in the dataset<br><br>Abstract<br>Understanding the relation between federal investment and research has implications for promoting science production in early childhood, a rapidly expanding area in education research and policy. Federally-funded research has shaped fundamental issues in early childhood, yet few studies have systematically examined the relation between federal investment and publication output. Our study applies topic modeling and regression analyses on a text corpus of 15,608 publication and grant abstracts in early childhood education to distill the most prominent topics, and the relationship between grant funding and later publications within these topics. We find that grants topics focused on health and early intervention, while publications covered a wider interdisciplinary range. A topic’s prevalence in grants, as a proxy of federal investment, was positively associated with its prevalence in publications in the following year. The study illustrates the affordances of textual analyses and contributes insights about how federal investment motivates scholarly production.