AndreaBozzo/ceres-open-data-index huggingface dataset:
Free Application for Federal Student Aid, 2010-11

The Free Application for Federal Student Aid, 2010-11 (FAFSA 2010-11), is part of the Free Application for Federal Student Aid (FAFSA) program; program data is available since 2006-07 at <https://studentaid.ed.gov/sa/about/data-center/student/application-volume/>. FAFSA 2010-11 (https://studentaid.ed.gov/) is a universe data collection of eligible incoming postsecondary education students, along with a subset of eligible continuing postsecondary education students, that collects financial information to determine the need and eligibility for financial assistance during postsecondary education. FAFSA 2010-11 applications are accepted via web and paper submission. Citizen and specified noncitizen students demonstrating financial need and planning to attend eligible degree or certificate programs in the 50 United States, the District of Columbia, Puerto Rico, and the outlying areas as regular students are eligible to apply for FAFSA 2010-11. FAFSA 2010-11 resulted in an expected family contribution (EFC) for each applying student. Statistics produced from FAFSA 2010-11 include application volumes by postsecondary school, state of legal residence, and completion by high school; and recipient and volume data by program for each school participating in Title IV programs.

Tags: 5474ef49-ba39-40d2-8f39-47bf2a766902, fafsa, federal-student-aid, financial-aid, free-application-for-federal-student-aid, postsecondary-education
Organization: Department of Education
Free Application for Federal Student Aid, 2013-14

The Free Application for Federal Student Aid, 2013-14 (FAFSA 2013-14), is part of the Free Application for Federal Student Aid (FAFSA) program; program data is available since 2006-07 at <https://studentaid.ed.gov/sa/about/data-center/student/application-volume/>. FAFSA 2013-14 (https://studentaid.ed.gov/) is a universe data collection of eligible incoming postsecondary education students, along with a subset of eligible continuing postsecondary education students, that collects financial information to determine the need and eligibility for financial assistance during postsecondary education. FAFSA 2013-14 applications are accepted via web and paper submission. Citizen and specified noncitizen students demonstrating financial need and planning to attend eligible degree or certificate programs in the 50 United States, the District of Columbia, Puerto Rico, and the outlying areas as regular students are eligible to apply for FAFSA 2013-14. FAFSA 2013-14 resulted in an expected family contribution (EFC) for each applying student. Statistics produced from FAFSA 2013-14 include application volumes by postsecondary school, state of legal residence, and completion by high school; and recipient and volume data by program for each school participating in Title IV programs.

Tags: 5474ef49-ba39-40d2-8f39-47bf2a766902, fafsa, federal-student-aid, financial-aid, free-application-for-federal-student-aid, postsecondary-education
Organization: Department of Education
Free Application for Federal Student Aid, 2012-13

The Free Application for Federal Student Aid, 2012-13 (FAFSA 2012-13), is part of the Free Application for Federal Student Aid (FAFSA) program; program data is available since 2006-07 at <https://studentaid.ed.gov/sa/about/data-center/student/application-volume/>. FAFSA 2012-13 (https://studentaid.ed.gov/) is a universe data collection of eligible incoming postsecondary education students, along with a subset of eligible continuing postsecondary education students, that collects financial information to determine the need and eligibility for financial assistance during postsecondary education. FAFSA 2012-13 applications are accepted via web and paper submission. Citizen and specified noncitizen students demonstrating financial need and planning to attend eligible degree or certificate programs in the 50 United States, the District of Columbia, Puerto Rico, and the outlying areas as regular students are eligible to apply for FAFSA 2012-13. FAFSA 2012-13 resulted in an expected family contribution (EFC) for each applying student. Statistics produced from FAFSA 2012-13 include application volumes by postsecondary school, state of legal residence, and completion by high school; and recipient and volume data by program for each school participating in Title IV programs.

Tags: 5474ef49-ba39-40d2-8f39-47bf2a766902, fafsa, federal-student-aid, financial-aid, free-application-for-federal-student-aid, postsecondary-education
Organization: Department of Education
Common Origination and Disbursement System

The Common Origination and Disbursement System (COD System) is a technical solution designed to accommodate the COD Process for Perkins, Pell Grant, Academic Competitiveness Grant (ACG), National Science and Mathematics Access to Retain Talent Grant (National SMART Grant), and the Teacher Education Assistance for College and Higher Education (TEACH) Grant and Direct Loan funding.

Tags: 5474ef49-ba39-40d2-8f39-47bf2a766902, cod-system, common-origination-and-disbursement-system, direct-loan, federal-family-education-loan-program, federal-pell-grant-program, federal-perkins-loan-program, federal-student-aid, federal-supplemental-educational-opportunity-grant-program, federal-work-study-program, ffel, fseog, fws, hea, higher-education-act-of-1965, leap, leveraging-educational-assistance-partnership-program, national-early-intervention-scholarship-and-partnership-program, nesip, postsecondary-institutions, program-reporting, servicers, student-financial-aid, title-iv-programs, william-d-ford-federal-direct-loan-program
Organization: Department of Education
National Student Loan Data System

The National Student Loan Data System (NSLDS) is the national database of information about loans and grants awarded to students under Title IV of the Higher Education Act (HEA) of 1965. NSLDS provides a centralized, integrated view of Title IV loans and grants during their complete life cycle, from aid approval through disbursement, repayment, deferment, delinquency, and closure.

Tags: 5474ef49-ba39-40d2-8f39-47bf2a766902, data-system, database, direct-loan, federal-family-education-loan-program, federal-perkins-loan-program, ffel, hea, higher-education-act-of-1965, information-management, national-student-loan-data-system, nslds, perkins, student-aid, student-grants, student-loans, title-iv, william-d-ford-direct-loan-program
Organization: Department of Education
Gun Free Schools Act Report, 1997-98

The Gun-Free Schools Act Report, 1997-98 (GFSA Report 1997-98), is a study that is part of the Gun-Free Schools Act Reports (GFSA Report) program; program data is available since 1997-98 at <https://www2.ed.gov/about/reports/annual/gfsa/index.html>. GFSA Report 1997-98 (https://www2.ed.gov/about/reports/annual/gfsa/index.html) is a universe survey that collects information on elementary- and secondary-student expulsions related to possession of a firearm at school. The study was conducted using paper instruments. Local education agencies (LEAs) and state education agencies (SEAs) were receiving federal funds under the Elementary and Secondary Education Act (ESEA), as amended, were required to provide information. Key statistics produced from GFSA Report 1997-98 were information on the number of students expelled (by type of firearm and school level); the number of expulsions that were modified on a case-by-case basis; the number of modified cases that were not for students with disabilities; and the number of expelled students who were referred to an alternative school or program.

Tags: b8fc9689-f616-4360-afa6-b8a9837e434d, criminal-justice-or-juvenile-delinquency-system, elementary-education, expulsion, firearm, gun-free-schools, secondary-education, students
Organization: Department of Education
Implementation of Title I and Title II Program Initiatives, 2014

The Implementation of Title I and Title II Program Initiatives, 2014 (Title I/II Implementation 2014) <https://ies.ed.gov/ncee/projects/evaluation/other_titleI.asp> is a cross-sectional data collection on the implementation of policies promoted through ESEA Title I and Title II. The data collection was conducted using surveys of states, districts, principals, and teachers. All state education agencies (SEAs) and a nationally representative sample of districts, principals, and teachers were sampled. Key statistics produced from Title I/II Implementation 2014 are on activities in four core areas: state content standards, assessments, school accountability, and teacher and principal evaluation.

Tags: b238b5ab-39a1-449d-8325-c8cf5e61a152, title-i-title-ii-states-districts-principals-teachers-students-professional-development-pd-educ, title-iaaeaaaaaaaaaaaaa-aaeaaaaaaaaaaaaaatitle-iiaaeaaaaaaaaaaaaa-aaeaaaaaaaaaaaaaastatesaaeaaa
Organization: Department of Education
Impacts of climate change on estuarine hydrodynamics and implications for hypoxia within a shallow subtropical system -- Full Dataset

Data for manuscript titled, "Impacts of climate change on estuarine hydrodynamics and implications for hypoxia within a shallow subtropical system". The data is organized by figure. 

Abstract: Vertical density stratification often plays an important role in the formation and expansion of coastal hypoxic zones through its effect on near-bed circulation. However, the impact of future climate change on estuarine circulation and hypoxia is widely unknown. Here, we developed and calibrated a three-dimensional hydrodynamic model for Pensacola Bay, a shallow subtropical estuary in the northeastern Gulf of Mexico. Hindcast simulations for 2013 – 2017 were applied to examine changes in salinity, temperature, and density distribution under future climate scenarios, including increased radiative forcing (IR), temperature (T), freshwater discharge (D), sea-level (SLR), and wind (W). Simulations showed that the impacts of climate change on modeled state variables varied over time with external forcing conditions. The model demonstrated the potential for sea-level rise (+0.48 m) and increased freshwater discharge (110%) to episodically increase vertical density gradients in the Bay. However, increased wind forcing (150%) destabilized vertical gradients, reducing the spatial extent and duration of strong stratification. For example, from March – June 2014 total area, wherein the bottom to surface density difference (Δσt) exceeded16 kg m-3, decreased by 33% (8.5 km^2) for the climate change (T+D+SLR+W) model. Wavelet coherence analysis revealed that the greatest differences in temperature and salinity between Base and T+D+SLR+W models occurred at hourly to daily timescales and primarily impacted the bottom layer. Results from this study suggest decreased density stratification and bottom temperature due to enhanced wind mixing and saltwater intrusion may mitigate future expansion of summertime hypoxia due to climate change. 

This dataset is associated with the following publication:
Duvall, M., B. Jarvis, and Y. Wan. Impacts of climate change on estuarine stratification and implications for hypoxia within a shallow subtropical system.   Estuarine Coastal and Shelf Science. Elsevier Science Ltd, New York, NY, USA, 279: 14, (2022).

Tags: climate-change, hypoxia, modeling, nitrogen-and-co-pollutants, surface-water
Organization: U.S. Environmental Protection Agency
Free Application for Federal Student Aid, 2014-15

The Free Application for Federal Student Aid, 2014-15 (FAFSA 2014-15), is part of the Free Application for Federal Student Aid (FAFSA) program; program data is available since 2006-07 at <https://studentaid.ed.gov/sa/about/data-center/student/application-volume/>. FAFSA 2014-15 (https://studentaid.ed.gov/) is a universe data collection of eligible incoming postsecondary education students, along with a subset of eligible continuing postsecondary education students, that collects financial information to determine the need and eligibility for financial assistance during postsecondary education. FAFSA 2014-15 applications are accepted via web and paper submission. Citizen and specified noncitizen students demonstrating financial need and planning to attend eligible degree or certificate programs in the 50 United States, the District of Columbia, Puerto Rico, and the outlying areas as regular students are eligible to apply for FAFSA 2014-15. FAFSA 2014-15 resulted in an expected family contribution (EFC) for each applying student. Statistics produced from FAFSA 2014-15 include application volumes by postsecondary school, state of legal residence, and completion by high school; and recipient and volume data by program for each school participating in Title IV programs.

Tags: 5474ef49-ba39-40d2-8f39-47bf2a766902, fafsa, federal-student-aid, financial-aid, free-application-for-federal-student-aid, postsecondary-education
Organization: Department of Education
COVID-19 Vaccinations by Race/Ethnicity - ARCHIVE

NOTE: After 10/20/2021, this dataset will no longer be updated and will be replaced by the new dataset: "COVID-19 Vaccinations by Race/Ethnicity" (https://data.ct.gov/Health-and-Human-Services/COVID-19-Vaccinations-by-Race-Ethnicity/4z97-pa4q).

Percentage of people who initiated COVID-19 vaccination by race/ethnicity as reported by providers.

Population estimates are based on 2019 CT population estimates. The 2019 CT population data which is the most recent year available.

In this data, a person with reported Hispanic or Latino ethnicity is considered Hispanic regardless of reported race. The category Unknown includes unknown race and/or ethnicity.

A vaccine coverage percentage cannot be calculated for people classified as NH Other race given a lack of census data for this group. Data quality assurance activities suggest that NH Other may represent a missing value. The estimated vaccine coverage percentages shown here may be underestimated for race/ethnicity groups because of missing data.

All data in this report are preliminary; data for previous dates will be updated as new reports are received and data errors are corrected.

Tags: covid-archive
Organization: State of Connecticut
COVID-19 Cases by Date of First Positive Specimen - ARCHIVE

Note: DPH is updating and streamlining the COVID-19 cases, deaths, and testing data.  As of 6/27/2022, the data will be published in four tables instead of twelve.

The COVID-19 Cases, Deaths, and Tests by Day dataset contains cases and test data by date of sample submission.  The death data are by date of death.  This dataset is updated daily and contains information back to the beginning of the pandemic.  The data can be found at https://data.ct.gov/Health-and-Human-Services/COVID-19-Cases-Deaths-and-Tests-by-Day/g9vi-2ahj.

The COVID-19 State Metrics dataset contains over 93 columns of data.  This dataset is updated daily and currently contains information starting June 21, 2022 to the present.  The data can be found at https://data.ct.gov/Health-and-Human-Services/COVID-19-State-Level-Data/qmgw-5kp6 .

The COVID-19 County Metrics dataset contains 25 columns of data.  This dataset is updated daily and currently contains information starting June 16, 2022 to the present.  The data can be found at https://data.ct.gov/Health-and-Human-Services/COVID-19-County-Level-Data/ujiq-dy22 .

The COVID-19 Town Metrics dataset contains 16 columns of data.  This dataset is updated daily and currently contains information starting June 16, 2022 to the present.  The data can be found at https://data.ct.gov/Health-and-Human-Services/COVID-19-Town-Level-Data/icxw-cada .   To protect confidentiality, if a town has fewer than 5 cases or positive NAAT tests over the past 7 days, those data will be suppressed.

Number of COVID-19 cases by date of first positive specimen collection. Test results may be reported several days after the result. Data are incomplete for the most recent days. Data from previous dates are routinely updated.

Starting in July 2020, this dataset will be updated every weekday.

Tags: covid-archive
Organization: State of Connecticut
COVID-19 Vaccinations by Race/Ethnicity - ARCHIVE

NOTE: After 5/20/2021, this dataset will no longer be updated and will be replaced by the new dataset: "COVID-19 Vaccinations by Race/Ethnicity" (https://data.ct.gov/Health-and-Human-Services/COVID-19-Vaccinations-by-Race-Ethnicity/4z97-pa4q).

Cumulative number and percent of people who initiated COVID-19 vaccination and who are fully vaccinated by race/ethnicity for select age groups (ages 16+, ages 65-74, and ages 75+) as reported by providers.

Population estimates are based on 2019 CT population estimates. The 2019 CT population data which is the most recent year available.  The tables that show the percent vaccinated by town and age group are an exception.  These tables use 2014 CT population estimates.  This the most recent year for which reliable estimates by town and age are available. 

A person who has received one dose of any vaccine is considered to have received at least one dose. A person is considered fully vaccinated if they have received 2 doses of the Pfizer or Moderna vaccines or 1 dose of the Johnson & Johnson vaccine. The fully vaccinated are a subset of the number who have received at least one dose. The number with At Least One Dose and the number Fully Vaccinated add up to more than the total number of doses because people who received the Johnson & Johnson vaccine fit into both categories.

In this data, a person with reported Hispanic or Latino ethnicity is considered Hispanic regardless of reported race. The category Unknown includes unknown race and/or ethnicity. 

The percent of people classified as Other race (not specified) and Multiple race in CT WiZ (for COVID-19 vaccine records and all other vaccine records) are higher than would be expected based on census data.  Other race, Multiple race and Unknown include people who should be classified as Asian, Black, Hispanic and White. Therefore, the coverage of these groups may be underestimated and should be interpreted with caution. 

The estimates for the category Multiple Races are considered unreliable

All data in this report are preliminary; data for previous dates will be updated as new reports are received and data errors are corrected.

Note: As part of continuous data quality improvement efforts, duplicate records were removed from the COVID-19 vaccination data during the weeks of 4/19/2021 and 4/26/2021.

Tags: covid-archive
Organization: State of Connecticut
CT School Learning Model Indicators by County (7-day metrics) - ARCHIVE

DPH note about change from 7-day to 14-day metrics:
As of 10/15/2020, this dataset is no longer being updated. Starting on 10/15/2020, the school learning model indicator metrics will be calculated using a 14-day average rather than a 7-day average. The new school learning model indicators dataset using 14-day averages can be accessed here: https://data.ct.gov/Health-and-Human-Services/CT-School-Learning-Model-Indicators-by-County-14-d/e4bh-ax24

As you know, we are learning more about COVID-19 all the time, including the best ways to measure COVID-19 activity in our communities. CT DPH has decided to shift to 14-day rates because these are more stable, particularly at the town level, as compared to 7-day rates. In addition, since the school indicators were initially published by DPH last summer, CDC has recommended 14-day rates and other states (e.g., Massachusetts) have started to implement 14-day metrics for monitoring COVID transmission as well.

With respect to geography, we also have learned that many people are looking at the town-level data to inform decision making, despite emphasis on the county-level metrics in the published addenda. This is understandable as there has been variation within counties in COVID-19 activity (for example, rates that are higher in one town than in most other towns in the county).

This dataset includes the leading and secondary metrics identified by the Connecticut Department of Health (DPH) and the Department of Education (CSDE) to support local district decision-making on the level of in-person, hybrid (blended), and remote learning model for Pre K-12 education. 

Data represent daily averages for each week by date of specimen collection (cases and positivity), date of hospital admission, or date of ED visit. Hospitalization data come from the Connecticut Hospital Association and are based on hospital location, not county of patient residence. COVID-19-like illness includes fever and cough or shortness of breath or difficulty breathing or the presence of coronavirus diagnosis code and excludes patients with influenza-like illness. All data are preliminary.

These data are updated weekly; the previous week period for each dataset is the previous Sunday-Saturday, known as an MMWR week (https://wwwn.cdc.gov/nndss/document/MMWR_week_overview.pdf). The date listed is the date the dataset was last updated and corresponds to a reporting period of the previous MMWR week. For instance, the data for 8/20/2020 corresponds to a reporting period of 8/9/2020-8/15/2020.

These metrics were adapted from recommendations by the Harvard Global Institute and supplemented by existing DPH measures.

For national data on COVID-19, see COVID View, the national weekly surveillance summary of U.S. COVID-19 activity, at https://www.cdc.gov/coronavirus/2019-ncov/covid-data/covidview/index.html

Notes:
9/25/2020: Data for Mansfield and Middletown for the week of Sept 13-19 were unavailable at the time of reporting due to delays in lab reporting.

Tags: covid-archive
Organization: State of Connecticut
Average daily COVID-19 incidence rate per 100,000 population by town over the last two weeks - ARCHIVE

As of 10/22/2020, this dataset is no longer being updated and has been replaced with a new dataset, which can be accessed here: https://data.ct.gov/Health-and-Human-Services/COVID-19-case-rate-per-100-000-population-and-perc/hree-nys2

This dataset includes the average daily COVID-19 case rate per 100,000 population by town over the last two MMWR weeks (https://wwwn.cdc.gov/nndss/document/MMWR_week_overview.pdf).

These counts do not include cases among people residing in congregate settings, such as nursing homes, assisted living facilities, or correctional facilities.

This dataset will be updated weekly.

Tags: covid-archive
Organization: State of Connecticut