9 datasets found
  1. HWRT database of handwritten symbols

    • zenodo.org
    tar
    Updated Jan 24, 2020
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    Martin Thoma; Martin Thoma (2020). HWRT database of handwritten symbols [Dataset]. http://doi.org/10.5281/zenodo.50022
    Explore at:
    tarAvailable download formats
    Dataset updated
    Jan 24, 2020
    Dataset provided by
    Zenodohttp://zenodo.org/
    Authors
    Martin Thoma; Martin Thoma
    License

    Open Database License (ODbL) v1.0https://www.opendatacommons.org/licenses/odbl/1.0/
    License information was derived automatically

    Description

    The HWRT database of handwritten symbols contains on-line data of handwritten symbols such as all alphanumeric characters, arrows, greek characters and mathematical symbols like the integral symbol.

    The database can be downloaded in form of bzip2-compressed tar files. Each tar file contains:

    • symbols.csv: A CSV file with the rows symbol_id, latex, training_samples, test_samples. The symbol id is an integer, the row latex contains the latex code of the symbol, the rows training_samples and test_samples contain integers with the number of labeled data.
    • train-data.csv: A CSV file with the rows symbol_id, user_id, user_agent and data.
    • test-data.csv: A CSV file with the rows symbol_id, user_id, user_agent and data.

    All CSV files use ";" as delimiter and "'" as quotechar. The data is given in YAML format as a list of lists of dictinaries. Each dictionary has the keys "x", "y" and "time". (x,y) are coordinates and time is the UNIX time.

    About 90% of the data was made available by Daniel Kirsch via github.com/kirel/detexify-data. Thank you very much, Daniel!

  2. d

    Chicago Public Schools - Progress Report Cards (2011-2012)

    • catalog.data.gov
    • data.cityofchicago.org
    • +3more
    Updated Dec 16, 2023
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    data.cityofchicago.org (2023). Chicago Public Schools - Progress Report Cards (2011-2012) [Dataset]. https://catalog.data.gov/dataset/chicago-public-schools-progress-report-cards-2011-2012
    Explore at:
    Dataset updated
    Dec 16, 2023
    Dataset provided by
    data.cityofchicago.org
    Area covered
    Chicago Public School District 299, Chicago
    Description

    This dataset shows all school level performance data used to create CPS School Report Cards for the 2011-2012 school year. Metrics are described as follows (also available for download at http://bit.ly/uhbzah): NDA indicates "No Data Available." SAFETY ICON: Student Perception/Safety category from 5 Essentials survey // SAFETY SCORE: Student Perception/Safety score from 5 Essentials survey // FAMILY INVOLVEMENT ICON: Involved Families category from 5 Essentials survey // FAMILY INVOLVEMENT SCORE: Involved Families score from 5 Essentials survey // ENVIRONMENT ICON: Supportive Environment category from 5 Essentials survey // ENVIRONMENT SCORE: Supportive Environment score from 5 Essentials survey // INSTRUCTION ICON: Ambitious Instruction category from 5 Essentials survey // INSTRUCTION SCORE: Ambitious Instruction score from 5 Essentials survey // LEADERS ICON: Effective Leaders category from 5 Essentials survey // LEADERS SCORE: Effective Leaders score from 5 Essentials survey // TEACHERS ICON: Collaborative Teachers category from 5 Essentials survey // TEACHERS SCORE: Collaborative Teachers score from 5 Essentials survey // PARENT ENGAGEMENT ICON: Parent Perception/Engagement category from parent survey // PARENT ENGAGEMENT SCORE: Parent Perception/Engagement score from parent survey // AVERAGE STUDENT ATTENDANCE: Average daily student attendance // RATE OF MISCONDUCTS (PER 100 STUDENTS): # of misconducts per 100 students//AVERAGE TEACHER ATTENDANCE: Average daily teacher attendance // INDIVIDUALIZED EDUCATION PROGRAM COMPLIANCE RATE: % of IEPs and 504 plans completed by due date // PK-2 LITERACY: % of students at benchmark on DIBELS or IDEL // PK-2 MATH: % of students at benchmark on mClass // GR3-5 GRADE LEVEL MATH: % of students at grade level, math, grades 3-5 // GR3-5 GRADE LEVEL READ: % of students at grade level, reading, grades 3-5 // GR3-5 KEEP PACE READ: % of students meeting growth targets, reading, grades 3-5 // GR3-5 KEEP PACE MATH: % of students meeting growth targets, math, grades 3-5 // GR6-8 GRADE LEVEL MATH: % of students at grade level, math, grades 6-8 // GR6-8 GRADE LEVEL READ: % of students at grade level, reading, grades 6-8 // GR6-8 KEEP PACE MATH: % of students meeting growth targets, math, grades 6-8 // GR6-8 KEEP PACE READ: % of students meeting growth targets, reading, grades 6-8 // GR-8 EXPLORE MATH: % of students at college readiness benchmark, math // GR-8 EXPLORE READ: % of students at college readiness benchmark, reading // ISAT EXCEEDING MATH: % of students exceeding on ISAT, math // ISAT EXCEEDING READ: % of students exceeding on ISAT, reading // ISAT VALUE ADD MATH: ISAT value-add value, math // ISAT VALUE ADD READ: ISAT value-add value, reading // ISAT VALUE ADD COLOR MATH: ISAT value-add color, math // ISAT VALUE ADD COLOR READ: ISAT value-add color, reading // STUDENTS TAKING ALGEBRA: % of students taking algebra // STUDENTS PASSING ALGEBRA: % of students passing algebra // 9TH GRADE EXPLORE (2009): Average EXPLORE score, 9th graders who tested in fall 2009 // 9TH GRADE EXPLORE (2010): Average EXPLORE score, 9th graders who tested in fall 2010 // 10TH GRADE PLAN (2009): Average PLAN score, 10th graders who tested in fall 2009 // 10TH GRADE PLAN (2010): Average PLAN score, 10th graders who tested in fall 2010 // NET CHANGE EXPLORE AND PLAN: Difference between Grade 9 Explore (2009) and Grade 10 Plan (2010) // 11TH GRADE AVERAGE ACT (2011): Average ACT score, 11th graders who tested in fall 2011 // NET CHANGE PLAN AND ACT: Difference between Grade 10 Plan (2009) and Grade 11 ACT (2011) // COLLEGE ELIGIBILITY: % of graduates eligible for a selective four-year college // GRADUATION RATE: % of students who have graduated within five years // COLLEGE/ ENROLLMENT RATE: % of students enrolled in college // COLLEGE ENROLLMENT (NUMBER OF STUDENTS): Total school enrollment // FRESHMAN ON TRACK RATE: Freshmen On-Track rate // RCDTS: Region County District Type Schools Code

  3. C

    Data from: cps 1

    • data.cityofchicago.org
    Updated Sep 14, 2018
    + more versions
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    Chicago Public Schools (2018). cps 1 [Dataset]. https://data.cityofchicago.org/Education/cps-1/d7n3-dmqx
    Explore at:
    tsv, application/rssxml, csv, application/rdfxml, xml, kml, application/geo+json, kmzAvailable download formats
    Dataset updated
    Sep 14, 2018
    Authors
    Chicago Public Schools
    Description

    This dataset shows all school level performance data used to create CPS School Report Cards for the 2011-2012 school year. Metrics are described as follows (also available for download at http://bit.ly/uhbzah): NDA indicates "No Data Available." SAFETY ICON: Student Perception/Safety category from 5 Essentials survey // SAFETY SCORE: Student Perception/Safety score from 5 Essentials survey // FAMILY INVOLVEMENT ICON: Involved Families category from 5 Essentials survey // FAMILY INVOLVEMENT SCORE: Involved Families score from 5 Essentials survey // ENVIRONMENT ICON: Supportive Environment category from 5 Essentials survey // ENVIRONMENT SCORE: Supportive Environment score from 5 Essentials survey // INSTRUCTION ICON: Ambitious Instruction category from 5 Essentials survey // INSTRUCTION SCORE: Ambitious Instruction score from 5 Essentials survey // LEADERS ICON: Effective Leaders category from 5 Essentials survey // LEADERS SCORE: Effective Leaders score from 5 Essentials survey // TEACHERS ICON: Collaborative Teachers category from 5 Essentials survey // TEACHERS SCORE: Collaborative Teachers score from 5 Essentials survey // PARENT ENGAGEMENT ICON: Parent Perception/Engagement category from parent survey // PARENT ENGAGEMENT SCORE: Parent Perception/Engagement score from parent survey // AVERAGE STUDENT ATTENDANCE: Average daily student attendance // RATE OF MISCONDUCTS (PER 100 STUDENTS): # of misconducts per 100 students//AVERAGE TEACHER ATTENDANCE: Average daily teacher attendance // INDIVIDUALIZED EDUCATION PROGRAM COMPLIANCE RATE: % of IEPs and 504 plans completed by due date // PK-2 LITERACY: % of students at benchmark on DIBELS or IDEL // PK-2 MATH: % of students at benchmark on mClass // GR3-5 GRADE LEVEL MATH: % of students at grade level, math, grades 3-5 // GR3-5 GRADE LEVEL READ: % of students at grade level, reading, grades 3-5 // GR3-5 KEEP PACE READ: % of students meeting growth targets, reading, grades 3-5 // GR3-5 KEEP PACE MATH: % of students meeting growth targets, math, grades 3-5 // GR6-8 GRADE LEVEL MATH: % of students at grade level, math, grades 6-8 // GR6-8 GRADE LEVEL READ: % of students at grade level, reading, grades 6-8 // GR6-8 KEEP PACE MATH: % of students meeting growth targets, math, grades 6-8 // GR6-8 KEEP PACE READ: % of students meeting growth targets, reading, grades 6-8 // GR-8 EXPLORE MATH: % of students at college readiness benchmark, math // GR-8 EXPLORE READ: % of students at college readiness benchmark, reading // ISAT EXCEEDING MATH: % of students exceeding on ISAT, math // ISAT EXCEEDING READ: % of students exceeding on ISAT, reading // ISAT VALUE ADD MATH: ISAT value-add value, math // ISAT VALUE ADD READ: ISAT value-add value, reading // ISAT VALUE ADD COLOR MATH: ISAT value-add color, math // ISAT VALUE ADD COLOR READ: ISAT value-add color, reading // STUDENTS TAKING ALGEBRA: % of students taking algebra // STUDENTS PASSING ALGEBRA: % of students passing algebra // 9TH GRADE EXPLORE (2009): Average EXPLORE score, 9th graders who tested in fall 2009 // 9TH GRADE EXPLORE (2010): Average EXPLORE score, 9th graders who tested in fall 2010 // 10TH GRADE PLAN (2009): Average PLAN score, 10th graders who tested in fall 2009 // 10TH GRADE PLAN (2010): Average PLAN score, 10th graders who tested in fall 2010 // NET CHANGE EXPLORE AND PLAN: Difference between Grade 9 Explore (2009) and Grade 10 Plan (2010) // 11TH GRADE AVERAGE ACT (2011): Average ACT score, 11th graders who tested in fall 2011 // NET CHANGE PLAN AND ACT: Difference between Grade 10 Plan (2009) and Grade 11 ACT (2011) // COLLEGE ELIGIBILITY: % of graduates eligible for a selective four-year college // GRADUATION RATE: % of students who have graduated within five years // COLLEGE/ ENROLLMENT RATE: % of students enrolled in college // COLLEGE ENROLLMENT (NUMBER OF STUDENTS): Total school enrollment // FRESHMAN ON TRACK RATE: Freshmen On-Track rate // RCDTS: Region County District Type Schools Code

  4. C

    O'Hare Elementary Network

    • data.cityofchicago.org
    application/rdfxml +5
    Updated Sep 14, 2018
    + more versions
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    Chicago Public Schools (2018). O'Hare Elementary Network [Dataset]. https://data.cityofchicago.org/Education/O-Hare-Elementary-Network/gafk-6whf
    Explore at:
    csv, application/rdfxml, tsv, application/rssxml, json, xmlAvailable download formats
    Dataset updated
    Sep 14, 2018
    Authors
    Chicago Public Schools
    Description

    This dataset shows all school level performance data used to create CPS School Report Cards for the 2011-2012 school year. Metrics are described as follows (also available for download at http://bit.ly/uhbzah): NDA indicates "No Data Available." SAFETY ICON: Student Perception/Safety category from 5 Essentials survey // SAFETY SCORE: Student Perception/Safety score from 5 Essentials survey // FAMILY INVOLVEMENT ICON: Involved Families category from 5 Essentials survey // FAMILY INVOLVEMENT SCORE: Involved Families score from 5 Essentials survey // ENVIRONMENT ICON: Supportive Environment category from 5 Essentials survey // ENVIRONMENT SCORE: Supportive Environment score from 5 Essentials survey // INSTRUCTION ICON: Ambitious Instruction category from 5 Essentials survey // INSTRUCTION SCORE: Ambitious Instruction score from 5 Essentials survey // LEADERS ICON: Effective Leaders category from 5 Essentials survey // LEADERS SCORE: Effective Leaders score from 5 Essentials survey // TEACHERS ICON: Collaborative Teachers category from 5 Essentials survey // TEACHERS SCORE: Collaborative Teachers score from 5 Essentials survey // PARENT ENGAGEMENT ICON: Parent Perception/Engagement category from parent survey // PARENT ENGAGEMENT SCORE: Parent Perception/Engagement score from parent survey // AVERAGE STUDENT ATTENDANCE: Average daily student attendance // RATE OF MISCONDUCTS (PER 100 STUDENTS): # of misconducts per 100 students//AVERAGE TEACHER ATTENDANCE: Average daily teacher attendance // INDIVIDUALIZED EDUCATION PROGRAM COMPLIANCE RATE: % of IEPs and 504 plans completed by due date // PK-2 LITERACY: % of students at benchmark on DIBELS or IDEL // PK-2 MATH: % of students at benchmark on mClass // GR3-5 GRADE LEVEL MATH: % of students at grade level, math, grades 3-5 // GR3-5 GRADE LEVEL READ: % of students at grade level, reading, grades 3-5 // GR3-5 KEEP PACE READ: % of students meeting growth targets, reading, grades 3-5 // GR3-5 KEEP PACE MATH: % of students meeting growth targets, math, grades 3-5 // GR6-8 GRADE LEVEL MATH: % of students at grade level, math, grades 6-8 // GR6-8 GRADE LEVEL READ: % of students at grade level, reading, grades 6-8 // GR6-8 KEEP PACE MATH: % of students meeting growth targets, math, grades 6-8 // GR6-8 KEEP PACE READ: % of students meeting growth targets, reading, grades 6-8 // GR-8 EXPLORE MATH: % of students at college readiness benchmark, math // GR-8 EXPLORE READ: % of students at college readiness benchmark, reading // ISAT EXCEEDING MATH: % of students exceeding on ISAT, math // ISAT EXCEEDING READ: % of students exceeding on ISAT, reading // ISAT VALUE ADD MATH: ISAT value-add value, math // ISAT VALUE ADD READ: ISAT value-add value, reading // ISAT VALUE ADD COLOR MATH: ISAT value-add color, math // ISAT VALUE ADD COLOR READ: ISAT value-add color, reading // STUDENTS TAKING ALGEBRA: % of students taking algebra // STUDENTS PASSING ALGEBRA: % of students passing algebra // 9TH GRADE EXPLORE (2009): Average EXPLORE score, 9th graders who tested in fall 2009 // 9TH GRADE EXPLORE (2010): Average EXPLORE score, 9th graders who tested in fall 2010 // 10TH GRADE PLAN (2009): Average PLAN score, 10th graders who tested in fall 2009 // 10TH GRADE PLAN (2010): Average PLAN score, 10th graders who tested in fall 2010 // NET CHANGE EXPLORE AND PLAN: Difference between Grade 9 Explore (2009) and Grade 10 Plan (2010) // 11TH GRADE AVERAGE ACT (2011): Average ACT score, 11th graders who tested in fall 2011 // NET CHANGE PLAN AND ACT: Difference between Grade 10 Plan (2009) and Grade 11 ACT (2011) // COLLEGE ELIGIBILITY: % of graduates eligible for a selective four-year college // GRADUATION RATE: % of students who have graduated within five years // COLLEGE/ ENROLLMENT RATE: % of students enrolled in college // COLLEGE ENROLLMENT (NUMBER OF STUDENTS): Total school enrollment // FRESHMAN ON TRACK RATE: Freshmen On-Track rate // RCDTS: Region County District Type Schools Code

  5. r

    Data from: Numerical experiments to "An implicit-explicit time...

    • radar-service.eu
    • radar.kit.edu
    • +2more
    tar
    Updated Jun 21, 2023
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    Jan Leibold (2023). Numerical experiments to "An implicit-explicit time discretization scheme for second-order semilinear wave equations with application to dynamic boundary conditions" [Dataset]. http://doi.org/10.35097/1255
    Explore at:
    tar(80384 bytes)Available download formats
    Dataset updated
    Jun 21, 2023
    Dataset provided by
    Karlsruhe Institute of Technology
    Leibold, Jan
    Authors
    Jan Leibold
    Description

    The computations are done in C++ using the Finite Element library deal.II; the plots then are generated with Matlab. To use this code, deal.II (release 9.2.0) has to be installed, cf. https://www.dealii.org/9.2.0 In order to run the program, open a terminal session in this folder and call "cmake -DDEAL_II_DIR=/path/to/deal.II .". Next, call "make release" to compile the files. Finally, run the program with "make run". This performs the computations and generates files in the "output" folder containing the results of the numerical experiments. After that, the plots can be generated with the Matlab Skript plot_figures.m. Note that running the C++ Code will take quite long, since it runs all calculations for all figures.

  6. r

    Data from: Numerical experiments to "Error Analysis of Exponential...

    • radar-service.eu
    • radar.kit.edu
    • +2more
    tar
    Updated Jun 21, 2023
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    Benjamin Dörich (2023). Numerical experiments to "Error Analysis of Exponential Integrators for Nonlinear Wave-Type Equations" [Dataset]. http://doi.org/10.35097/1284
    Explore at:
    tar(96256 bytes)Available download formats
    Dataset updated
    Jun 21, 2023
    Dataset provided by
    Karlsruhe Institute of Technology
    Authors
    Benjamin Dörich
    Description

    This code has been used for the numerical experiments in the thesis "Error Analysis of Exponential Integrators for Nonlinear Wave-Type Equations" by Benjamin Dörich, see https://www.doi.org/10.5445/IR/1000130187.

  7. r

    Data from: Code to "Maximum norm error bounds for the full discretization of...

    • radar-service.eu
    • service.tib.eu
    • +1more
    tar
    Updated Jun 22, 2023
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    Malik Scheifinger (2023). Code to "Maximum norm error bounds for the full discretization of non-autonomous wave equations" [Dataset]. http://doi.org/10.35097/1458
    Explore at:
    tar(39424 bytes)Available download formats
    Dataset updated
    Jun 22, 2023
    Dataset provided by
    Scheifinger, Malik
    Karlsruhe Institute of Technology
    Authors
    Malik Scheifinger
    Description

    Part of the code relies on code written by J. Leibold in https://doi.org/10.5445/IR/1000130223. The computations are done in C++ using the Finite Element library deal.II; the plots then are generated with Python3. To use this code, deal.II (release 9.4.0) has to be installed, cf. https://www.dealii.org/9.4.0 In order to compile the program, open a terminal session in this folder and call "cmake -DDEAL_II_DIR=/path/to/deal.II ." Next, call "make release" and "make". Then, one can run the commands (can be done in paralell) ./main P1 ./main P2 ./main P3 ./main euler to execute the code. This performs the computations and generates the files error_space_Q1_ritz.txt error_space_Q2_ritz.txt error_space_Q3_ritz.txt error_time_ImplEuler_ritz.txt in the folder "error" containing the results of the numerical experiments. After that, the plots can be generated with the Python3 Script using in the terminal python3 wave_non_auto_error_plots.py in the folder "tikz".

  8. r

    Data from: Numerical experiments to the dissertation "A unified error...

    • radar-service.eu
    • service.tib.eu
    • +2more
    tar
    Updated Jun 21, 2023
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    Jan Leibold (2023). Numerical experiments to the dissertation "A unified error analysis for the numerical solution of nonlinear wave-type equations with application to kinetic boundary conditions" [Dataset]. http://doi.org/10.35097/1285
    Explore at:
    tar(76800 bytes)Available download formats
    Dataset updated
    Jun 21, 2023
    Dataset provided by
    Leibold, Jan
    Karlsruhe Institute of Technology
    Authors
    Jan Leibold
    Description

    The computations are done in C++ using the Finite Element library deal.II; the plots from the dissertation then are generated with Matlab. To use this code, deal.II (release 9.2.0) has to be installed, cf. https://www.dealii.org/9.2.0 In order to compile the program, open a terminal session in this folder and call "cmake -DDEAL_II_DIR=/path/to/deal.II .". Next, call "make release" and then "make" to compile the files. Before running the program, specify in the 'config.ini' for which figures the calculations should be performed. By default, the calculations for all plots are performed. Finally, run the program with "make run". This performs the computations and generates files in the "output" folder containing the results of the numerical experiments. After that, the plots can be generated with the Matlab Script 'plot_figures.m'. In this file it can also be selected which plots should be generated.

  9. r

    Data from: Numerical experiments to "On leapfrog-Chebyshev schemes for...

    • radar-service.eu
    • service.tib.eu
    • +1more
    tar
    Updated Jun 21, 2023
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    Constantin Carle (2023). Numerical experiments to "On leapfrog-Chebyshev schemes for second-order differential equations" [Dataset]. http://doi.org/10.35097/1334
    Explore at:
    tar(93696 bytes)Available download formats
    Dataset updated
    Jun 21, 2023
    Dataset provided by
    Karlsruhe Institute of Technology
    Carle, Constantin
    Authors
    Constantin Carle
    Description

    This code has been used for the numerical experiments in the thesis "On leapfrog-Chebyshev schemes for second-order differential equations" by Constantin Carle; see https://www.doi.org/10.5445/IR/1000147725.

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    Learn how you can add new datasets to our index.

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Martin Thoma; Martin Thoma (2020). HWRT database of handwritten symbols [Dataset]. http://doi.org/10.5281/zenodo.50022
Organization logo

HWRT database of handwritten symbols

Explore at:
tarAvailable download formats
Dataset updated
Jan 24, 2020
Dataset provided by
Zenodohttp://zenodo.org/
Authors
Martin Thoma; Martin Thoma
License

Open Database License (ODbL) v1.0https://www.opendatacommons.org/licenses/odbl/1.0/
License information was derived automatically

Description

The HWRT database of handwritten symbols contains on-line data of handwritten symbols such as all alphanumeric characters, arrows, greek characters and mathematical symbols like the integral symbol.

The database can be downloaded in form of bzip2-compressed tar files. Each tar file contains:

  • symbols.csv: A CSV file with the rows symbol_id, latex, training_samples, test_samples. The symbol id is an integer, the row latex contains the latex code of the symbol, the rows training_samples and test_samples contain integers with the number of labeled data.
  • train-data.csv: A CSV file with the rows symbol_id, user_id, user_agent and data.
  • test-data.csv: A CSV file with the rows symbol_id, user_id, user_agent and data.

All CSV files use ";" as delimiter and "'" as quotechar. The data is given in YAML format as a list of lists of dictinaries. Each dictionary has the keys "x", "y" and "time". (x,y) are coordinates and time is the UNIX time.

About 90% of the data was made available by Daniel Kirsch via github.com/kirel/detexify-data. Thank you very much, Daniel!

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