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Articles 61 - 90 of 103
Full-Text Articles in Physical Sciences and Mathematics
Data From Analysis Of Mesosphere Secular Trends And Episodic Variability, 9/3/1993 To 8/5/2003, Troy A. Wynn, Vincent B. Wickwar, Joshua P. Herron
Data From Analysis Of Mesosphere Secular Trends And Episodic Variability, 9/3/1993 To 8/5/2003, Troy A. Wynn, Vincent B. Wickwar, Joshua P. Herron
Browse all Datasets
The database examined here covers a time span from September 1993 to August 2003 and an altitude range of 45 to 90 km, and contains 593 nightly temperature profiles. We examine our data for secular warming and cooling and decadal scale (solar cycle) variations by applying three different models to the data.
Cs04all: Cryptography Module, Hunter R. Johnson
Cs04all: Cryptography Module, Hunter R. Johnson
Open Educational Resources
Cryptography module
This archive contains a series of lessons on cryptography suitable for use in a CS0 course. The only requirement is familiarity with Python, particularly dictionaries, lists, and file IO. It is also assumed that students know how to create stand-alone Python programs and interact with them through the terminal. Most of the work is done in Jupyter notebooks.
The material found in the notebooks is a combination of reading material, exercises, activities and assignments. Below are descriptions of each lesson or assignment and links to notebooks on Cocalc. The same files are available for batch download in this …
Cs04all: Command Line Python, Hunter R. Johnson
Cs04all: Command Line Python, Hunter R. Johnson
Open Educational Resources
Command Line Tutorial
Students are presented with information relating to stand alone Python programs, stdin, stdout, and command line arguments. This is a lab exercise. After completion students should be able to create executable Python programs which can accept input from stdin or command line arguments.
Please begin with the READ_ME file.
https://cocalc.com/share/bde99afd-76c8-493d-9608-db9019bcd346/171/stdin?viewer=share/
This OER material was produced as a result of the CS04ALL CUNY OER project
Cs04all: Machine Learning Module, Hunter R. Johnson
Cs04all: Machine Learning Module, Hunter R. Johnson
Open Educational Resources
These are materials that may be used in a CS0 course as a light introduction to machine learning.
The materials are mostly Jupyter notebooks which contain a combination of labwork and lecture notes. There are notebooks on Classification, An Introduction to Numpy, and An Introduction to Pandas.
There are also two assessments that could be assigned to students. One is an essay assignment in which students are asked to read and respond to an article on machine bias. The other is a lab-like exercise in which students use pandas and numpy to extract useful information about subway ridership in NYC. …
Cs04all: Natural Language Processing Project, Hunter R. Johnson
Cs04all: Natural Language Processing Project, Hunter R. Johnson
Open Educational Resources
In this archive there are two activities/assignments suitable for use in a CS0 or Intro course which uses Python.
In the first activity, students are asked to "fill in the code" in a series of short programs that compute a similarity metric (cosine similarity) for text documents. This involves string tokenization, and frequency counting using Python string methods and datatypes.
https://cocalc.com/share/bde99afd-76c8-493d-9608-db9019bcd346/171/Proj1?viewer=share/
In the second activity (taken directly from Think Python 2e) students use a pronunciation dictionary to solve a riddle involving homophones.
https://cocalc.com/share/bde99afd-76c8-493d-9608-db9019bcd346/171/Dicts2?viewer=share/
This OER material was produced as a result of the CS04ALL CUNY OER project
Cs04all: List Comprehensions, Hunter R. Johnson
Cs04all: List Comprehensions, Hunter R. Johnson
Open Educational Resources
List Comprehensions
This is a tutorial on list comprehensions in Python, suitable for use in an Intro or CS0 course. We also briefly mention set comprehensions and dictionary comprehensions.
https://cocalc.com/share/bde99afd-76c8-493d-9608-db9019bcd346/171/list_comprehensions?viewer=share/
This OER material was produced as a result of the CS04ALL CUNY OER project
Tubex Data, Sanaz Esmaeili
Tubex Data, Sanaz Esmaeili
School of Geosciences Student Publications
No abstract provided.
Northeastern China 4.2ka Database, Louis A. Scuderi, Xiaoping Yamg, Samantha Ascoli, Hongwei Li
Northeastern China 4.2ka Database, Louis A. Scuderi, Xiaoping Yamg, Samantha Ascoli, Hongwei Li
Paleoclimate Datasets
The Hunshandake Sandy Lands of northeastern China, currently a semiarid lightly vegetated region, were characterized by perennial lakes and forest stands in the early and middle Holocene. Well-developed dark grassland-type paleosols (mollisols) at the southern edge of the Hunshandake OSL-dated to between 6.93 +0.61 and 4.27 +0.38 ka along with lacustrine sands at higher elevations that date to between 5.7 +0.3 and 5.2 +0.2 ka and thick gray lacustrine sediments suggest a wetter climate. Between 4.2 and 3.8 ka, the region experienced extreme drying that was exacerbated by lake overflow drainage and sapping that depleted the groundwater table. The region …
Dataset 1: Mobile Text Dataset, Keith Vertanen, Per Ola Kristensson
Dataset 1: Mobile Text Dataset, Keith Vertanen, Per Ola Kristensson
Mobile Text Dataset and Language Models
This zip file contains the sentences mined from public web forums and blogs. Additional details about the dataset:
- The data is split into training, development, and test sets based on the original domain name the text was mined from.
- The sent_*.txt files are tab-delimited and contain one sentence parsed from a particular post. Each line contains the device name, forum software, device form factor (tablet or phone), and device input (touch or touch+key) associated with the post it was obtained from.
- The set's subdirectory contains the groupings used in Section 2.
- 64K word list (used in the paper), 5K and …
Investigating Speech Recognition For Improving Predictive Aac, Keith Vertanen
Investigating Speech Recognition For Improving Predictive Aac, Keith Vertanen
Data Files
This data was used in support of the following paper:
Adhikary, J., Watling, R., Fletcher, C., Stanage, A., & Vertanen, K. (2019). Investigating Speech Recognition for Improving Predictive AAC. SLPAT '19: Proceedings of the Workshop on Speech and Language Processing for Assistive Technologies. 37-43. Minneapolis, MN. https://digitalcommons.mtu.edu/cs_fp/16
Data Contributing To Zuidema Et Al., 2019: "Is Summer African Dust Arriving Earlier At Barbados? The Updated Long-Term In-Situ Dust Mass Concentration Time Series From Ragged Point, Barbados And Miami, Florida”, Bulletin Of The American Meteorological Society., Paquita Zuidema
Supplementary Data and Tools
Daily-resolved time series of surface dust mass concentrations gathered at the Rosenstiel School of Marine and Atmospheric Science in Miami, Florida from 1974 through December, 2018, and at Ragged Point, Barbados, from 193 through December, 2014, and primarily May-October of 2015-2018. The data were extracted from Whatman-41 filters sampling under pumped high-flow conditions. A fuller description of the sampling, data collection and analysis procedures can be found in Zuidema et al., 2019, Bulletin of the American Meteorological Society (https://doi.org/10.1175/BAMS-D-18-0083.1). The data are available as separate files for Miami and Barbados, in both Excel and netcdf format.
North Atlantic Observed Climatological Mean Absolute Geostrophic Velocity Profiles, Tiago Carrilho Biló
North Atlantic Observed Climatological Mean Absolute Geostrophic Velocity Profiles, Tiago Carrilho Biló
Supplementary Data and Tools
North Atlantic observed climatological mean absolute geostrophic velocity components in meters per second from near the surface (pressure = 2.5 dbar) to near ocean bottom (pressure = 5562.0 dbar). The absolute velocity fields in the upper 2000 dbar of the water column were obtained by referencing an ARGO based mean geostrophic shear with mean velocity estimates at 1000 dbar between 2004-2016. The shear was derived using the so-called Roemmich-Gilson Argo climatology (Roemmich & Gilson, 2009). The referencing procedure was conducted using Argo displacement data referred to as YoMaHa'07 (Lebedev et al., 2007). For regions deeper than 2000 dbar, the velocity …
Temporal And Spatial Scaling Of Dissipation Under Non-Breaking Surface Waves, Mingming Shao, Brian K. Haus, Darek Bogucki, Mohammad Barzegar
Temporal And Spatial Scaling Of Dissipation Under Non-Breaking Surface Waves, Mingming Shao, Brian K. Haus, Darek Bogucki, Mohammad Barzegar
Supplementary Data and Tools
This dataset is associated to the NSF OCE/Physical Oceanography funded project “Laboratory Investigation of Turbulence Generation by Surface Waves”. There are three papers in preparation that will refer to data contained within this archive. The overarching goal of this project was to address a significant knowledge gap regarding the turbulent dissipation of non-breaking surface waves. To accomplish this, a comprehensive study in the SUrge-STructure-Atmosphere-INteraction (SUSTAIN) wind-wave laboratory at the University of Miami was conducted. A combination of established measurement approaches (Particle Image Velocimetry (PIV) and Vertical Microstructure Profiler (VMP)) and new technologies (Optical Turbulence Sensor (OTS)) have been used carry …
Spray Concentration Measurements From Asist For Freshwater And Seawater, Sanchit Mehta, David G. Ortiz-Suslow, Andrew W. Smith, Brian K. Haus
Spray Concentration Measurements From Asist For Freshwater And Seawater, Sanchit Mehta, David G. Ortiz-Suslow, Andrew W. Smith, Brian K. Haus
Supplementary Data and Tools
The size-dependent vertical distribution of spume particles in high wind conditions is necessary to understand their effect on air-sea fluxes of heat and momentum. The predominant focus of previous studies of spray dynamics has been on the marine environment. Spray dynamics in non-seawater bodies have not been extensively studied, and any significant differences between sea and freshwater remain unquantified. To address this gap, we have conducted the first laboratory experiment directly comparing spume concentrations above fresh and real seawater for 10-m equivalent wind speeds of 36-54 m/s. Droplets in the air above the intensely breaking wind-waves were directly observed and …
Mid-Infrared Optical Constants Of Labradorite, A Triclinic Plagioclase Mineral, Cheng Ye, Melinda J. Rucks, Jessica A. Arnold, Timothy D. Glotch
Mid-Infrared Optical Constants Of Labradorite, A Triclinic Plagioclase Mineral, Cheng Ye, Melinda J. Rucks, Jessica A. Arnold, Timothy D. Glotch
Geosciences Research Data
Plagioclase feldspar is the most abundant rock-forming mineral in the crust of the Earth, Moon, and Mars, and is also an important component in some minor bodies in the Solar System. The distribution, abundance, and precise composition of plagioclase on planetary surfaces from remote sensing data is an important tool for evaluating changing conditions during magma evolution. Optical constants are critical input parameters in radiative transfer theory, which enables modeling of spectra for the extraction of mineral abundances and grain sizes from a remotely sensed spectrum. Mid-infrared (MIR) optical constants of most triclinic rock-forming minerals are not available due to …
Simulating Storm Surge And Compound Flooding Events With A Creek-To-Ocean Model: Importance Of Baroclinic Effects : Model Files, Fei Ye, Yinglong J. Zhang, Haocheng Yu, Weiling Sun, Saeed Moghimi, Edward Myers, Karinna Nunez, Ruoyin Zhang, Harry V. Wang, Aron Roland, Kevin Martins, Xavier Bertin, Jiabi Du, Zhou Liu
Simulating Storm Surge And Compound Flooding Events With A Creek-To-Ocean Model: Importance Of Baroclinic Effects : Model Files, Fei Ye, Yinglong J. Zhang, Haocheng Yu, Weiling Sun, Saeed Moghimi, Edward Myers, Karinna Nunez, Ruoyin Zhang, Harry V. Wang, Aron Roland, Kevin Martins, Xavier Bertin, Jiabi Du, Zhou Liu
Data
The supplemental material contains the input files for setting up a 3D baroclinic model based on the Semi-implicit Cross-scale Hydroscience Integrated System Model (SCHISM), supplementing the description of model setup in Ye et al. (2019; associated publication).
The SCHISM version used for the simulation was r5082 in the SCHISM svn repository. A compressed file (setup.tar.gz) is provided, which can be extracted with common zip/unzip software on Unix/Windows/Mac (such as gzip, winzip, 7-zip, etc.). Since the dataset is intended for conducting a SCHISM simulation, readers/users should familiarize themselves with the SCHISM model system first.
The SCHISM manual is at: http://ccrm.vims.edu/schismweb/schism_manual.html; …
Python String, Natalia Novak
Python String, Natalia Novak
Open Educational Resources
An introduction to Python strings and string formatting.
Proposed lecture slides are supplied with in-class activity, homework assignment, and assessment.
No loops, no decision structures.
For CS0 students.
Part of the CUNY CS04All project.
Existence Of A Highest Wave In A Fully Dispersive Two-Way Shallow Water Model, Kyle Claassen, Matthew Johnson, Mats Ehrnstrom
Existence Of A Highest Wave In A Fully Dispersive Two-Way Shallow Water Model, Kyle Claassen, Matthew Johnson, Mats Ehrnstrom
Faculty Publications - Mathematics
No abstract provided.
On The Fourth Order Schrodinger Equation In Four Dimensions: Dispersive Estimates And Zero Energy Resonances, William Green, Ebru Toprak
On The Fourth Order Schrodinger Equation In Four Dimensions: Dispersive Estimates And Zero Energy Resonances, William Green, Ebru Toprak
Faculty Publications - Mathematics
No abstract provided.
Nondegeneracy And Stability Of Antiperiodic Bound States For Fractional Nonlinear Schrodinger Equations, Kyle Claassen, Matthew Johnson
Nondegeneracy And Stability Of Antiperiodic Bound States For Fractional Nonlinear Schrodinger Equations, Kyle Claassen, Matthew Johnson
Faculty Publications - Mathematics
No abstract provided.
Solving Systems Of Differential Equations In The Case Of A Defective Coefficient Matrix, William Green, Sylvia Carlisle
Solving Systems Of Differential Equations In The Case Of A Defective Coefficient Matrix, William Green, Sylvia Carlisle
Faculty Publications - Mathematics
No abstract provided.
Mink Frog (Lithobates Septentrionalis), Jennifer Smetzer, Toni Lyn Morelli
Mink Frog (Lithobates Septentrionalis), Jennifer Smetzer, Toni Lyn Morelli
Second Century Stewardship Refugia Products
No abstract provided.
Northern White Cedar (Thuja Occidentalis), Matthew J. Duveneck, Jonathan R. Thompson, Jennifer Smetzer
Northern White Cedar (Thuja Occidentalis), Matthew J. Duveneck, Jonathan R. Thompson, Jennifer Smetzer
Duveneck & Thompson Tree Refugia Products
No abstract provided.
Balsam Fir (Abies Balsamea), Matthew J. Duveneck, Jonathan R. Thompson, Jennifer Smetzer
Balsam Fir (Abies Balsamea), Matthew J. Duveneck, Jonathan R. Thompson, Jennifer Smetzer
Duveneck & Thompson Tree Refugia Products
No abstract provided.
Paper Birch (Betula Papyrifera), Matthew J. Duveneck, Jonathan R. Thompson, Jennifer Smetzer
Paper Birch (Betula Papyrifera), Matthew J. Duveneck, Jonathan R. Thompson, Jennifer Smetzer
Duveneck & Thompson Tree Refugia Products
No abstract provided.
Red Spruce (Picea Rubens), Matthew J. Duveneck, Jonathan R. Thompson, Jennifer Smetzer
Red Spruce (Picea Rubens), Matthew J. Duveneck, Jonathan R. Thompson, Jennifer Smetzer
Duveneck & Thompson Tree Refugia Products
No abstract provided.
2d Ion Temperature Maps From Twins Ena Data: Idl Scripts, Amy Keesee, Earl Scime, Anna Zaniewski, Roxanne Katus
2d Ion Temperature Maps From Twins Ena Data: Idl Scripts, Amy Keesee, Earl Scime, Anna Zaniewski, Roxanne Katus
Physics & Astronomy
Energetic neutral atom (ENA) flux from the NASA TWINS mission (and previously the MENA instrument on the NASA IMAGE mission) is projected along the line of sight to the equatorial plane in GSM coordinates. A Maxwellian fit is used to calculate the ion temperature in each equatorial plane bin, creating 2D maps of ion temperatures. The files are IDL .pro scripts that can be read using a text editor. IDL software is required to run. The primary script is twins_master.pro. The scripts call other scripts that were developed by the TWINS mission team as well as publicly available IDL libraries …
Gis Data: King & Queen County Tidal Marsh Inventory, Marcia Berman, Karinna Nunez, Sharon Killeen, Tamia Rudnicky, Julie G. Bradshaw, Carl Hershner, Evan Hill
Gis Data: King & Queen County Tidal Marsh Inventory, Marcia Berman, Karinna Nunez, Sharon Killeen, Tamia Rudnicky, Julie G. Bradshaw, Carl Hershner, Evan Hill
Data
The Virginia Institute of Marine Science published the first Tidal marsh Inventories using data collected in the early 1970's. Using high resolution color infra-red imagery from 2009 a new Tidal Marsh Inventory has been developed for the York River Watershed in 2010. Marsh boundaries were generated using heads-up digitizing techniques at a scale of 1:1,000. Each marsh polygon was classified by morphologic type: fringe, extensive, embayed, or marsh island. Marshes were ground-truthed in the field where a community type index was assigned to each marsh based on plant community make-up. Each marsh was also coded with a marsh number which …
Gis Data: King William County Tidal Marsh Inventory, Marcia Berman, Karinna Nunez, Sharon Killeen, Tamia Rudnicky, Julie G. Bradshaw, Carl Hershner, Evan Hill
Gis Data: King William County Tidal Marsh Inventory, Marcia Berman, Karinna Nunez, Sharon Killeen, Tamia Rudnicky, Julie G. Bradshaw, Carl Hershner, Evan Hill
Data
The Virginia Institute of Marine Science published the first Tidal marsh Inventories using data collected in the early 1970's. Using high resolution color infra-red imagery from 2009 a new Tidal Marsh Inventory has been developed for the York River Watershed in 2010. Marsh boundaries were generated using heads-up digitizing techniques at a scale of 1:1,000. Each marsh polygon was classified by morphologic type: fringe, extensive, embayed, or marsh island. Marshes were ground-truthed in the field where a community type index was assigned to each marsh based on plant community make-up. Each marsh was also coded with a marsh number which …
King William County, Virginia Shoreline Inventory Data 2019, Marcia Berman, Karinna Nunez, Sharon Killeen, Tamia Rudnicky, Julie Bradshaw, Jessica Hendricks, Carl Hershner, Evan Hill
King William County, Virginia Shoreline Inventory Data 2019, Marcia Berman, Karinna Nunez, Sharon Killeen, Tamia Rudnicky, Julie Bradshaw, Jessica Hendricks, Carl Hershner, Evan Hill
Data
The 2019 Inventory for King William County was generated using on-screen, digitizing techniques in ArcGIS® -ArcMap v10.4.1 while viewing conditions observed in 2017 imagery from the Virginia Base Mapping Program (VBMP), Google Earth, and Bing high resolution oblique imagery. Five GIS shapefiles are developed. The first describes land use and bank conditions (KingWilliam_lubc_2019). The second portrays the presence of beaches (KingWilliam_beach_2019). The third reports shoreline structures that are described as arcs or lines (e.g. riprap) (KingWilliam_sstru_2019). The fourth shapefile includes all structures that are represented as points (e.g. piers) (KingWilliam_astru_2019). The Tidal Marsh Inventory is included as the fifth file …