After over two years of public reporting, the State Profile Report will no longer be produced and distributed after February 2023. The final release was on February 23, 2023. We want to thank everyone who contributed to the design, production, and review of this report and we hope that it provided insight into the data trends throughout the COVID-19 pandemic. Data about COVID-19 will continue to be updated at CDC’s COVID Data Tracker. The State Profile Report (SPR) is generated by the Data Strategy and Execution Workgroup in the Joint Coordination Cell, in collaboration with the White House. It is managed by an interagency team with representatives from multiple agencies and offices (including the United States Department of Health and Human Services (HHS), the Centers for Disease Control and Prevention, the HHS Assistant Secretary for Preparedness and Response, and the Indian Health Service). The SPR provides easily interpretable information on key indicators for each state, down to the county level. It is a weekly snapshot in time that: Focuses on recent outcomes in the last seven days and changes relative to the month prior Provides additional contextual information at the county level for each state, and includes national level information Supports rapid visual interpretation of results with color thresholds

This dataset tracks annual hispanic student percentage from 2016 to 2023 for Insight School Of Michigan vs. Michigan and Insight School Of Michigan School District

This dataset tracks annual total students amount from 2016 to 2023 for Insight School Of Michigan

This dataset tracks annual two or more races student percentage from 2014 to 2023 for Mid Michigan College vs. Michigan

This dataset tracks the updates made on the dataset "COVID-19 State Profile Report - Michigan" as a repository for previous versions of the data and metadata.

This dataset tracks annual full-time students enrollment from 2007 to 2024 for Mid Michigan College vs. average full-time students enrollment per community college in Michigan

This dataset tracks annual total students amount from 2016 to 2022 for Way Michigan

Context : We share a large database containing electroencephalographic signals from 87 human participants, with more than 20,800 trials in total representing about 70 hours of recording. It was collected during brain-computer interface (BCI) experiments and organized into 3 datasets (A, B, and C) that were all recorded following the same protocol: right and left hand motor imagery (MI) tasks during one single day session. It includes the performance of the associated BCI users, detailed information about the demographics, personality and cognitive user’s profile, and the experimental instructions and codes (executed in the open-source platform OpenViBE). Such database could prove useful for various studies, including but not limited to: 1) studying the relationships between BCI users' profiles and their BCI performances, 2) studying how EEG signals properties varies for different users' profiles and MI tasks, 3) using the large number of participants to design cross-user BCI machine learning algorithms or 4) incorporating users' profile information into the design of EEG signal classification algorithms.

Sixty participants (Dataset A) performed the first experiment, designed in order to investigated the impact of experimenters' and users' gender on MI-BCI user training outcomes, i.e., users performance and experience, (Pillette & al). Twenty one participants (Dataset B) performed the second one, designed to examined the relationship between users' online performance (i.e., classification accuracy) and the characteristics of the chosen user-specific Most Discriminant Frequency Band (MDFB) (Benaroch & al). The only difference between the two experiments lies in the algorithm used to select the MDFB. Dataset C contains 6 additional participants who completed one of the two experiments described above. Physiological signals were measured using a g.USBAmp (g.tec, Austria), sampled at 512 Hz, and processed online using OpenViBE 2.1.0 (Dataset A) & OpenVIBE 2.2.0 (Dataset B). For Dataset C, participants C83 and C85 were collected with OpenViBE 2.1.0 and the remaining 4 participants with OpenViBE 2.2.0. Experiments were recorded at Inria Bordeaux sud-ouest, France.

Duration : Each participant's folder is composed of approximately 48 minutes EEG recording. Meaning six 7-minutes runs and a 6-minutes baseline.

Documents Instructions: checklist read by experimenters during the experiments. Questionnaires: the Mental Rotation test used, the translation of 4 questionnaires, notably the Demographic and Social information, the Pre and Post-session questionnaires, and the Index of Learning style. English and french version Performance: The online OpenViBE BCI classification performances obtained by each participant are provided for each run, as well as answers to all questionnaires Scenarios/scripts : set of OpenViBE scenarios used to perform each of the steps of the MI-BCI protocol, e.g., acquire training data, calibrate the classifier or run the online MI-BCI

Database : raw signals Dataset A : N=60 participants Dataset B : N=21 participants Dataset C : N=6 participants

This dataset tracks annual hispanic student percentage from 2008 to 2022 for Mid Michigan College vs. Michigan

This dataset tracks annual total classroom teachers amount from 2016 to 2023 for Way Michigan

This dataset tracks annual white student percentage from 2008 to 2023 for Mid Michigan College vs. Michigan

This dataset tracks annual distribution of students across grade levels in Way Michigan

This dataset tracks annual black student percentage from 2008 to 2023 for Mid Michigan College vs. Michigan

This dataset tracks annual non resident student percentage from 2012 to 2021 for Mid Michigan College vs. Michigan

This dataset tracks annual faculty from 2008 to 2023 for Mid Michigan College vs. average faculty per community college in Michigan

This dataset tracks annual diversity score from 2008 to 2023 for Southwestern Michigan College vs. Michigan

This dataset tracks annual distribution of students across grade levels in Insight School Of Michigan

This dataset tracks annual full-time undergraduate students enrollment from 2008 to 2023 for Brown Mackie College-Michigan City vs. average full-time undergraduate students enrollment per community college in Indiana

This dataset tracks annual student-staff ratio from 2008 to 2023 for Mid Michigan College vs. Michigan

This dataset tracks annual diversity score from 2016 to 2023 for Insight School Of Michigan vs. Michigan and Insight School Of Michigan School District