This dataset tracks annual total students amount from 2019 to 2023 for Mit Academy

This dataset tracks annual total students amount from 2017 to 2023 for Maricopa Institute Of Technology (Mit)

The MIT-BIH Arrhythmia Database contains 48 half-hour excerpts of two-channel ambulatory ECG recordings, obtained from 47 subjects studied by the BIH Arrhythmia Laboratory between 1975 and 1979. Twenty-three recordings were chosen at random from a set of 4000 24-hour ambulatory ECG recordings collected from a mixed population of inpatients (about 60%) and outpatients (about 40%) at Boston's Beth Israel Hospital; the remaining 25 recordings were selected from the same set to include less common but clinically significant arrhythmias that would not be well-represented in a small random sample.

Historical Dataset of Mit Academy is provided by PublicSchoolReview and contain statistics on metrics:Total Students Trends Over Years (2019-2023),Total Classroom Teachers Trends Over Years (2019-2023),Distribution of Students By Grade Trends,Student-Teacher Ratio Comparison Over Years (2019-2023),Asian Student Percentage Comparison Over Years (2019-2023),Hispanic Student Percentage Comparison Over Years (2019-2023),Black Student Percentage Comparison Over Years (2019-2023),White Student Percentage Comparison Over Years (2019-2023),Two or More Races Student Percentage Comparison Over Years (2019-2023),Diversity Score Comparison Over Years (2019-2023),Free Lunch Eligibility Comparison Over Years (2019-2023),Reduced-Price Lunch Eligibility Comparison Over Years (2019-2023),Reading and Language Arts Proficiency Comparison Over Years (2019-2022),Math Proficiency Comparison Over Years (2019-2022),Overall School Rank Trends Over Years (2019-2022),Graduation Rate Comparison Over Years (2019-2022)

This dataset tracks annual two or more races student percentage from 2019 to 2023 for Mit Academy vs. California and Mit Academy School District

This dataset tracks annual asian student percentage from 2019 to 2023 for Mit Academy vs. California and Mit Academy School District

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on November 22, 2022. Data set collected at the Children''s Hospital Boston, of EEG recordings from pediatric subjects with intractable seizures. Subjects were monitored for up to several days following withdrawal of anti-seizure medication in order to characterize their seizures and assess their candidacy for surgical intervention. All signals were sampled at 256 samples per second with 16-bit resolution. Most files contain 23 EEG signals (24 or 26 in a few cases).

This dataset provides information about the number of properties, residents, and average property values for Fox Mit Lane cross streets in La Fayette, GA.

The MIT-Adobe FiveK dataset consists of 5,000 photographs taken with SLR cameras by a set of different photographers. They are all in RAW format; that is, all the information recorded by the camera sensor is preserved. We made sure that these photographs cover a broad range of scenes, subjects, and lighting conditions. We then hired five photography students in an art school to adjust the tone of the photos. Each of them retouched all the 5,000 photos using a software dedicated to photo adjustment (Adobe Lightroom) on which they were extensively trained. We asked the retouchers to achieve visually pleasing renditions, akin to a postcard. The retouchers were compensated for their work.

This dataset was collected for our project on learning photographic adjustments. When using images from this dataset, please cite this dataset using the following BibTeX:

@inproceedings{fivek, author = "Vladimir Bychkovsky and Sylvain Paris and Eric Chan and Fr{\'e}do Durand", title = "Learning Photographic Global Tonal Adjustment with a Database of Input / Output Image Pairs", booktitle = "The Twenty-Fourth IEEE Conference on Computer Vision and Pattern Recognition", year = "2011" }

Course Description ————————— 8.03 Classical theory of vibration and waves. In addition to the traditional topics of mechanical vibrations and waves, coupled oscillators, and electro-magnetic radiation, students will also learn about musical instruments, red sunsets, glories, coronae, rainbows, haloes, X-ray binaries, neutron stars, black holes and big-bang cosmology. Highlights of this Course ————————————- This course features a full set of lecture videos, as well as assignments, exams, and other course materials. This is a full set of video lectures, recorded at MIT. The home page of the original lectures can be found at MIT OCW. This torrent is just a transcode of the original 220 Kbps .rm files to mpeg4, 15 fps, 320 x 240 h.264 @ 144 Kbps, with 32 Kbps mono AAC sound, so that it can for example be easily played on a phone during your daily commute.

This database includes 25 long-term ECG recordings of human subjects with atrial fibrillation (mostly paroxysmal).

Of these, 23 records include the two ECG signals (in the .dat files); records 00735 and 03665 are represented only by the rhythm (.atr) and unaudited beat (.qrs annotation files.

The individual recordings are each 10 hours in duration, and contain two ECG signals each sampled at 250 samples per second with 12-bit resolution over a range of ±10 millivolts. The original analog recordings were made at Boston's Beth Israel Hospital (now the Beth Israel Deaconess Medical Center) using ambulatory ECG recorders with a typical recording bandwidth of approximately 0.1 Hz to 40 Hz. The rhythm annotation files (with the suffix .atr) were prepared manually; these contain rhythm annotations of types (AFIB (atrial fibrillation), (AFL (atrial flutter), (J (AV junctional rhythm), and (N (used to indicate all other rhythms). (The original rhythm annotation files, still available in the old directory, used AF, AFL, J, and N to mark these rhythms; the atr annotations in this directory have been revised for consistency with those used for the MIT-BIH Arrhythmia Database.) Beat annotation files (with the suffix .qrs) were prepared using an automated detector and have not been corrected manually. For some records, manually corrected beat annotation files (with the suffix .qrsc) are available. (The .qrs annotations may be useful for studies of methods for automated AF detection, where such methods must be robust with respect to typical QRS detection errors. The .qrsc annotations may be preferred for basic studies of AF itself, where QRS detection errors would be confounding.) Note that in both .qrs and .qrsc files, no distinction is made among beat types (all beats are labelled as if normal).

This database includes 22 half-hour ECG recordings of subjects who experienced episodes of sustained ventricular tachycardia, ventricular flutter, and ventricular fibrillation. The reference annotation (.atr) files contain only rhythm labels (no beat labels).

"Leadership Courses," prepared by the Center for Public Leadership at Harvard Kennedy School, provides students at HKS and the broader Harvard community with comprehensive information on courses in leadership and social entrepreneurship available in 2008-2009 at Harvard University’s graduate schools, the Massachusetts Institute of Technology, and Tufts University. Because the path to leadership and public service is different for each student, our listings are as inclusive as possible. Students will find both courses that cover fundamental aspects of leadership and social entrepreneurship and courses that shed light on fields and topics that are potentially useful to leaders and social entrepreneurs. For students interested in social entrepreneurship, we also recommend two other guides: "Hauser Center Guide to Noprofit Courses at Harvard University an d Beyond," published online by the Hauser Center for Nonprofit Organizations at www.hks.harvard.edu/hauser/tour/courses/index.html and "The Unofficial Handbook for Social Entrepreneurship at Harvard," a student publication, new this year, from Social Enterprise in Action (SEIA), a student group at the Kennedy School. This year, for the first time, the Center offers students a leadership development framework (pages 5-8). The framework organizes leadership skills and capabilities in five key areas and categorizes HKS leadership courses within those areas. We have developed this framework with the support and guidance of the faculty who offer these courses, and we are indebted to them for their help in its development.

This dataset tracks annual hispanic student percentage from 2019 to 2023 for Mit Academy vs. California and Mit Academy School District

Social Human Robot Embodied Conversation (SHREC) Dataset: Wellness Dorm Subset

The SHREC Wellness Dorm subset contains longitudinal, real-world human-robot interaction video data data from Jeong et al. (2020), where a robotic positive psychology coach was deployed in MIT student dormitories. Participants engaged in daily wellbeing sessions with the robot over the course of 1–4 weeks.

Authors: Dong Won Lee, Yubin Kim, Sooyeon Jeong, Denison Guvenoz, Parker Malachowsky… See the full description on the dataset page: https://huggingface.co/datasets/MIT-personal-robots/shrec_wellness_dorm.

mit_restaurant NER dataset

This database includes 78 half-hour ECG recordings chosen to supplement the examples of supraventricular arrhythmias in the MIT-BIH Arrhythmia Database.

MIT Traffic is a dataset for research on activity analysis and crowded scenes. It includes a traffic video sequence of 90 minutes long. It is recorded by a stationary camera. The size of the scene is 720 by 480 and it is divided into 20 clips.

Number 9

## Overview

Number 9 is a dataset for object detection tasks - it contains Hands Signasl annotations for 204 images.

## Getting Started

You can download this dataset for use within your own projects, or fork it into a workspace on Roboflow to create your own model.

  ## License

  This dataset is available under the [MIT license](https://creativecommons.org/licenses/MIT).

Number of companies with investments, including for the environment, their employees as well as investments in total and for environmental protection - independent towns and districts - year