Tom Narock
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View article: Predicting Land Surface Temperature With Uncertainty Estimation Using a Community Sensor Network and Machine Learning
Predicting Land Surface Temperature With Uncertainty Estimation Using a Community Sensor Network and Machine Learning Open
Urban Heat Islands (UHIs) are areas in cities that experience higher temperatures than surrounding areas due to construction features such as buildings, roads, and a general lack of vegetation. UHIs, which pose a threat to public health wh…
View article: Building occupancy type classification and uncertainty estimation using machine learning and open data
Building occupancy type classification and uncertainty estimation using machine learning and open data Open
Federal and local agencies have identified a need to create building databases to help ensure that critical infrastructure and residential buildings are accounted for in disaster preparedness and to aid the decision-making processes in sub…
View article: Automatic Detection of Large-scale Flux Ropes and Their Geoeffectiveness with a Machine-learning Approach
Automatic Detection of Large-scale Flux Ropes and Their Geoeffectiveness with a Machine-learning Approach Open
Detecting large-scale flux ropes (FRs) embedded in interplanetary coronal mass ejections (ICMEs) and assessing their geoeffectiveness are essential, since they can drive severe space weather. At 1 au, these FRs have an average duration of …
View article: Classifying different types of solar wind plasma with uncertainty estimations using machine learning
Classifying different types of solar wind plasma with uncertainty estimations using machine learning Open
Decades of in-situ solar wind measurements have clearly established variations in solar wind physical parameters. These variable parameters have been used to classify the solar wind magnetized plasma into different types with several class…
View article: What is a Heliospheric Flux Rope?
What is a Heliospheric Flux Rope? Open
This white paper underlines the lack of fundamental understanding of heliospheric flux ropes and provides the motivation to significantly improve the status quo of flux rope research through novel and requisite approaches.The recommendatio…
View article: Enhancing Flood Risk Assessment Through Machine Learning and Open Data
Enhancing Flood Risk Assessment Through Machine Learning and Open Data Open
Urban flooding causes billions of dollars in damages annually, with severe flood events becoming more frequent and destructive as our climate changes. While extreme weather is a primary driver of flooding, its consequences depend on the in…
View article: Redefining flux ropes in heliophysics
Redefining flux ropes in heliophysics Open
Magnetic flux ropes manifest as twisted bundles of magnetic field lines. They carry significant amounts of solar mass in the heliosphere. This paper underlines the need to advance our understanding of the fundamental physics of heliospheri…
View article: North Carolina Building Features
North Carolina Building Features Open
Raw data used in the GeoSmart Flood Risk Machine Learning Tutorial. These data were used to create the machine learning ready dataset for the tutorial. Data are stored by county with one zip file per county. Filenames are the FIPS county c…
View article: North Carolina Building Features
North Carolina Building Features Open
Raw data used in the GeoSmart Flood Risk Machine Learning Tutorial. These data were used to create the machine learning ready dataset for the tutorial. Data are stored by county with one zip file per county. Filenames are the FIPS county c…
View article: Identification of Flux Rope Orientation via Neural Networks
Identification of Flux Rope Orientation via Neural Networks Open
Geomagnetic disturbance forecasting is based on the identification of solar wind structures and accurate determination of their magnetic field orientation. For nowcasting activities, this is currently a tedious and manual process. Focusing…
View article: Knowledge graphs to support real‐time flood impact evaluation
Knowledge graphs to support real‐time flood impact evaluation Open
A digital map of the built environment is useful for a range of economic, emergency response, and urban planning exercises such as helping find places in app driven interfaces, helping emergency managers know what locations might be impact…
View article: Identification of Flux Rope Orientation via Neural Networks
Identification of Flux Rope Orientation via Neural Networks Open
Geomagnetic disturbance forecasting is based on the identification of solar wind structures and accurate determination of their magnetic field orientation. For nowcasting activities, this is currently a tedious and manual process. Focusing…
View article: Quantifying the Growth of Preprint Services Hosted by the Center for Open Science
Quantifying the Growth of Preprint Services Hosted by the Center for Open Science Open
A wide range of disciplines are building preprint services—web-based systems that enable publishing non peer-reviewed scholarly manuscripts before publication in a peer-reviewed journal. We have quantitatively surveyed nine of the largest …
View article: narock/preprint_analysis: COS Preprint Analysis Code, Version 2.1
narock/preprint_analysis: COS Preprint Analysis Code, Version 2.1 Open
The Center for Open Science (COS) hosts a collection of preprint systems spanning multiple domains. This code extends http://doi.org/10.5281/zenodo.1467250 to provide additional analysis capabilities of preprint metadata. Version 2.0 was u…
View article: Quantifying the growth of preprint services hosted by the Center for Open Science
Quantifying the growth of preprint services hosted by the Center for Open Science Open
A wide range of disciplines are building preprint services — cyberinfrastructure that enables publishing non peer-reviewed scholarly manuscripts before publication in a peer-reviewed journal. We have quantitatively surveyed nine of the lar…
View article: Earth Science Is Ready for Preprints
Earth Science Is Ready for Preprints Open
The EarthArXiv preprint archive, in operation for almost a year and a half, makes the latest Earth science research available to a wider community.
View article: Identifying and improving AGU collaborations using network analysis and scientometrics
Identifying and improving AGU collaborations using network analysis and scientometrics Open
The American Geophysical Union (AGU) is an Earth and space science professional society based in the United States. Research conducted by AGU members ranges from the Earth's deep interior to the outer planets of our solar system. However, …
View article: Center for Open Science Preprint Analysis
Center for Open Science Preprint Analysis Open
This dataset contains results from analysis of 9 Center for Open Science (COS) preprint systems. Data were collected in December of 2018 using the Open Science Framework (OSF) Application Programming Interface (API, https://developer.osf.i…
View article: Response to Reviewer Laura Corlew
Response to Reviewer Laura Corlew Open
Thank you for your insightful review of our paper.We appreciate the time and effort you put into the review and our paper will be much improved from your feedback.Below, we address each of
View article: Response to Reviewer Mark Parsons
Response to Reviewer Mark Parsons Open
Thank you for the time and effort you put into reviewing our paper.We found you comments valuable and provide additional avenues of study we had not considered.Below, we address each comment individually.-Most of the analysis relies on abs…
View article: Recognizing an Architect of the Age of Informatics
Recognizing an Architect of the Age of Informatics Open
A look back at the life of Greg Leptoukh, pioneer of informatics, and a look ahead to the field’s future through the annual lecture at AGU’s Fall Meeting 2018 dedicated to Leptoukh.
View article: Earth Science is Ready for Preprints: The First Year of EarthArXiv
Earth Science is Ready for Preprints: The First Year of EarthArXiv Open
Preprints â scholarly papers that precede publication in a peer-reviewed journal â speed the delivery and accessibility of academic work and lead to faster reuse by the scientific community, as evidenced by rapid citations and social m…
View article: Network Analysis of the American Geophysical Union's Fall Meetings
Network Analysis of the American Geophysical Union's Fall Meetings Open
The American Geophysical Union (AGU) is an Earth and space science professional society based in the United States. AGU publishes scientific journals, sponsors meetings, and supports education and outreach efforts to promote public underst…
View article: Network Analysis of the American Geophysical Union’s Fall Meetings
Network Analysis of the American Geophysical Union’s Fall Meetings Open
The American Geophysical Union (AGU) is an Earth and space science professional society based in the United States. AGU publishes scientific journals, sponsors meetings, and supports education and outreach efforts to promote public underst…
View article: The GeoLink knowledge graph
The GeoLink knowledge graph Open
GeoLink has leveraged linked data principles to create a dataset that allows users to seamlessly query and reason over some of the most prominent geoscience metadata repositories in the United States. The GeoLink dataset includes such dive…
View article: Ontologies and the Semantic Web for Digital Investigation Tool Selection
Ontologies and the Semantic Web for Digital Investigation Tool Selection Open
The nascent field of digital forensics is heavily influenced by practice. Much digital forensics research involves the use, evaluation, and categorization of the multitude of tools available to researchers and practitioners. As technology …
View article: ESIP Labs PROV Report Out (Fils)
ESIP Labs PROV Report Out (Fils) Open
Doug Fils' slides from the ESIP Labs PROV Report Out.