AndreaBozzo/ceres-open-data-index huggingface dataset:
Children in CPS Intakes by Referent Type, 2010-2022

These data are related to DCYF’s Office of Innovation, Alignment, and Accountability (OIAA) prevention dashboards, published to support the agency’s efforts to prevent child maltreatment. Those dashboards can be found here: https://www.dcyf.wa.gov/practice/oiaa/reports/prevention-dashboard

Much of the data requested by the Strengthen Families Locally communities to inform their planning, and thus contained in these initial dashboards and datasets, are what we know about children entering out-of-home care (OOH care) – age distribution, counts, rates, trends over time, and race/ethnicity. In 2022, about 3,370 children entered out of home care statewide, a record low for Washington State.

The prevention dashboards and datasets also include descriptive data on children in Child Protection Services (CPS) intakes – rates of intakes “screened-in” for a CPS response, as well as the types of referents referring to CPS. In 2022, DCYF received CPS intakes involving over 89,000 children statewide, and 46,000 total children in intakes screened in for a CPS response.

Some of the data focus on children aged 0 to 1 (or birth to just under 2 years old). This group of children enter out-of-home care at a high rate, and the Strengthen Families Locally communities have identified that early intervention with this group of children and their families can be especially impactful.

OIAA expects to update these dashboards and datasets annually. In addition, we will be working to develop additional dashboards to support other related DCYF prevention efforts.

Tags: access-to-childcare, child-health, children, county, cps, infant, licensed-child-care-provider
Organization: State of Washington
RCI Monthly Counts

DCYF reports on the use of room confinement and isolation (RCI), in accordance with Revised Code of Washington (RCW) chapter 13.22. Data is presented by RCI start reason, duration, and demographic characteristics.
*https://www.dcyf.wa.gov/practice/oiaa/reports/jr-dashboards/room-confinement-isolation

Tags: isolation, jr, juvenile-rehabilitation, rci, room-confinement
Organization: State of Washington
Race/ethnicity Percentage of Children Entering Out-of-Home Care, 2010-2022

These data are related to DCYF’s Office of Innovation, Alignment, and Accountability (OIAA) prevention dashboards, published to support the agency’s efforts to prevent child maltreatment. Those dashboards can be found here: https://www.dcyf.wa.gov/practice/oiaa/reports/prevention-dashboard

Much of the data requested by the Strengthen Families Locally communities to inform their planning, and thus contained in these initial dashboards and datasets, are what we know about children entering out-of-home care (OOH care) – age distribution, counts, rates, trends over time, and race/ethnicity. In 2022, about 3,370 children entered out of home care statewide, a record low for Washington State.

The prevention dashboards and datasets also include descriptive data on children in Child Protection Services (CPS) intakes – rates of intakes “screened-in” for a CPS response, as well as the types of referents referring to CPS. In 2022, DCYF received CPS intakes involving over 89,000 children statewide, and 46,000 total children in intakes screened in for a CPS response.

Some of the data focus on children aged 0 to 1 (or birth to just under 2 years old). This group of children enter out-of-home care at a high rate, and the Strengthen Families Locally communities have identified that early intervention with this group of children and their families can be especially impactful.

OIAA expects to update these dashboards and datasets annually. In addition, we will be working to develop additional dashboards to support other related DCYF prevention efforts.

Tags: care, child-care, child-health, childcare, children, ethnicity, infant, race
Organization: State of Washington
Childcare Need & Supply by Legislative District

Statewide, DCYF estimates that families of about 305,000 children age B-5 not yet in school need child care. Only about 34% of those children are enrolled in licensed child care or preschool. The percent of need met for child care and preschool for young children varies widely across the state.

Tags: access-to-childcare, child-care, childcare, children, early-learning, legislative-district, pre-k
Organization: State of Washington
Childcare Need & Supply (All)

Statewide, DCYF estimates that families of about 293,000 children age B-5 not yet in school need child care, because all available parents in the home are working. Only about 27% of these children are served by licensed child care, preschool, and/or subsidized child care.
Additionally, we estimate that families of over 491,000 school-age children (kindergarten through age 12) are in need of care, and only about 12% of these children are served by licensed child care, preschool, and/or subsidized child care. 


The percent of need met for child care, preschool, and/or subsidized child care for children of all ages varies widely across the state.

*https://www.dcyf.wa.gov/practice/oiaa/reports/early-learning-dashboards/child-care-need-supply-data

Tags: access-to-childcare, child-care, childcare, children, community, county, early-learning, infant, pre-k, school-age, smi, toddler
Organization: State of Washington
Children in Screened-In CPS Intakes, 2010-2022

These data are related to DCYF’s Office of Innovation, Alignment, and Accountability (OIAA) prevention dashboards, published to support the agency’s efforts to prevent child maltreatment. Those dashboards can be found here: https://www.dcyf.wa.gov/practice/oiaa/reports/prevention-dashboard

Much of the data requested by the Strengthen Families Locally communities to inform their planning, and thus contained in these initial dashboards and datasets, are what we know about children entering out-of-home care (OOH care) – age distribution, counts, rates, trends over time, and race/ethnicity. In 2022, about 3,370 children entered out of home care statewide, a record low for Washington State.

The prevention dashboards and datasets also include descriptive data on children in Child Protection Services (CPS) intakes – rates of intakes “screened-in” for a CPS response, as well as the types of referents referring to CPS. In 2022, DCYF received CPS intakes involving over 89,000 children statewide, and 46,000 total children in intakes screened in for a CPS response.

Some of the data focus on children aged 0 to 1 (or birth to just under 2 years old). This group of children enter out-of-home care at a high rate, and the Strengthen Families Locally communities have identified that early intervention with this group of children and their families can be especially impactful.

OIAA expects to update these dashboards and datasets annually. In addition, we will be working to develop additional dashboards to support other related DCYF prevention efforts.

Tags: access-to-childcare, child-care, child-health, childcare, cps, population
Organization: State of Washington
Childcare Need & Supply (All)

Statewide, DCYF estimates that families of about 305,000 children, age B-5, are not yet in school and need child care. Only about 34% of those children are enrolled in licensed child care or preschool. The percent of need met for child care and preschool for young children varies widely across the state.

Tags: access-to-childcare, child-care, childcare, children, community, county, early-learning, income, infant, pre-k, school-age, smi, toddler
Organization: State of Washington
ECEAP & Head Start Take Up Dashboard

This data is a summary data set from the ECEAP and Head Start Take Up Dashboard. The dashboard illustrates the number of eligible families who “take up” ECEAP or Head Start preschool slots. It shows the number of children served by ECEAP or Head Start as a proportion of the selected population filters. https://www.dcyf.wa.gov/practice/oiaa/reports/early-learning-dashboards/eceap-headstart-dashboard

Tags: age, child-care, childcare, children, early-childhood-education-assistance-program, eceap, geospatial, head-start, head-start-sites, smi, subsidy, wccc
Organization: State of Washington
Childcare Need & Supply by Zip Code

Statewide, DCYF estimates that families of about 305,000 children age B-5 not yet in school need child care. Only about 34% of those children are enrolled in licensed child care or preschool. The percent of need met for child care and preschool for young children varies widely across the state.

Tags: access-to-childcare, child-care, childcare, children, early-learning, pre-k, zip-code
Organization: State of Washington
Age Distribution for Children Entering Out-of-Home Care, 2010-2022

These data are related to DCYF’s Office of Innovation, Alignment, and Accountability (OIAA) prevention dashboards, published to support the agency’s efforts to prevent child maltreatment. Those dashboards can be found here: https://www.dcyf.wa.gov/practice/oiaa/reports/prevention-dashboard

Much of the data requested by the Strengthen Families Locally communities to inform their planning, and thus contained in these initial dashboards and datasets, are what we know about children entering out-of-home care (OOH care) – age distribution, counts, rates, trends over time, and race/ethnicity. In 2022, about 3,370 children entered out of home care statewide, a record low for Washington State.

The prevention dashboards and datasets also include descriptive data on children in Child Protection Services (CPS) intakes – rates of intakes “screened-in” for a CPS response, as well as the types of referents referring to CPS. In 2022, DCYF received CPS intakes involving over 89,000 children statewide, and 46,000 total children in intakes screened in for a CPS response.

Some of the data focus on children aged 0 to 1 (or birth to just under 2 years old). This group of children enter out-of-home care at a high rate, and the Strengthen Families Locally communities have identified that early intervention with this group of children and their families can be especially impactful.

OIAA expects to update these dashboards and datasets annually. In addition, we will be working to develop additional dashboards to support other related DCYF prevention efforts.

Tags: age, care, child-care, child-health, childcare, county, cps
Organization: State of Washington
Herbicide Spray

<DIV STYLE="text-align:Left;font-size:12pt"><P><SPAN>Line geometry with attributes displaying the herbicide spraying locations in East Baton Rouge Parish, Louisiana.</SPAN></P><P><SPAN /></P><P><A href="https://city.brla.gov/gis/metadata/HERBICIDE_SPRAY.html" STYLE="text-decoration:underline;"><SPAN>Metadata</SPAN></A></P></DIV>

Tags: ebrp, herbicide, maintenance, spray
Organization: City of Baton Rouge
CMS COVID-19 Nursing Home Dataset

The Nursing Home COVID-19 Public File from the Centers for Medicare & Medicaid Services, filtered for Connecticut. View the full dataset and detailed metadata <a href="https://data.cms.gov/covid-19/covid-19-nursing-home-data">here</a>.

The Nursing Home COVID-19 Public File includes data reported by nursing homes to the CDC’s National Healthcare Safety Network (NHSN) system COVID-19 Long Term Care Facility Module, including Resident Impact, Facility Capacity, Staff & Personnel, and Supplies & Personal Protective Equipment, and Ventilator Capacity and Supplies Data Elements.

Tags: covid-19, covid-congregate-settings
Organization: State of Connecticut
Substance Abuse Care Facilities

Licensed Substance Abuse Care facilities derived from Licenses and Credentials recorded in Connecticut's eLicensing system. Includes active and inactive licenses. 

This dataset is pulled from the full State Licenses and Credentials dataset: https://data.ct.gov/Business/State-Licenses-and-Credentials/ngch-56tr/data

Updated daily.

Tags: credentials, elicense, licenses, substance-abuse
Organization: State of Connecticut
Tax Exempt Organizations (Extracted from the Internal Revenue Service)

Exempt organization information is extracted monthly from the Internal Revenue Service’s Business Master File. This is a cumulative file, and the data are the most recent information the IRS has for these organizations.

If you have any questions about the tax-exempt organizations or the content of the files, please contact TE/GE Customer Account Services toll-free line at 1-877-829-5500

State is determined from the filing address and generally represent the location of an organization’s headquarters, which may or may not represent the state(s) in which an organization has operations.

Records are sorted by Employer Identification Number (EIN). 

This dataset is for Connecticut only.

The IRS exempt organization data have been accumulated since the inception of the tax-exempt statutes. A determination letter is issued to an organization upon the granting of an exemption and is considered valid throughout the life of the organization, as long as the organization complies with the provisions of its exemption. If an organization's exemption is revoked, an announcement to inform potential donors of the revocation is published in the Internal Revenue Bulletin. In addition, the organization’s name is removed from publicly accessible venues, including this file. 

Updated nightly. 

NOTE: Split-interest trusts are not included in this database.

FIELDS AVAILABLE
All exempt organization records on this file will contain the following data fields:
Column Name Contents
EIN Employer Identification Number (EIN)
NAME Primary Name of Organization
ICO In Care of Name
STREET Street Address
CITY City
STATE State
ZIP Zip Code 
GROUP Group Exemption Number
SUBSECTION Subsection Code
AFFILIATION Affiliation Code
CLASSIFICATION Classification Code(s)
RULING Ruling Date
DEDUCTIBILITY Deductibility Code
FOUNDATION Foundation Code
ACTIVITY Activity Codes
ORGANIZATION Organization Code
STATUS Exempt Organization Status Code
TAX_PERIOD Tax Period
ASSET_CD Asset Code
INCOME_CD Income Code
FILING_REQ_CD Filing Requirement Code
PF_FILING_REQ_CD PF Filing Requirement Code
ACCT_PD Accounting Period
ASSET_AMT Asset Amount
INCOME_AMT Income Amount (includes negative sign if amount is negative)
REVENUE_AMT Form 990 Revenue Amount (includes negative sign if amount is negative)
NTEE_CD National Taxonomy of Exempt Entities (NTEE) Code
SORT_NAME Sort Name (Secondary Name Line)

Tags: charities, charity, exempt, non-profit, tax, tax-exempt
Organization: State of Connecticut
Licensed Automobile Dealers And Repairers

Listing of licensed automobile dealers and repairers, updated nightly.

Many Dealer and Repairer licenses are issued in a business name but the facility may be doing business in another name (have a DBA = Doing-Business-As). For example, XYZ Corporation may be doing business as Joe’s Garage. The address of Joe’s Garage will be on the list but the license will be in the XYZ Corporation name.

Tags: automobile, dealer, dmv, repair
Organization: State of Connecticut
ANR Land Dataset (Unit)

<div style='text-align:Left;'><div><div><p><span>The State of Vermont has a long history of acquiring properties for conservation and recreation purposes. Since the first official state forest (L.R. Jones State Forest) was acquired in 1909, the State has acquired over 345,000 acres of land in more than 200 towns across the state. In addition, the Agency has recently acquired conservation easements on over 44,000 acres of privately-owned forest land. These diverse holdings are managed by the Agency of Natural Resources and include state parks, state forests, wildlife management areas, and fishing access areas, pond sites, streambanks, fish culture stations, dams, and other miscellanious properties.</span></p><p><span /></p></div></div></div>

Tags: deptfpr, divlands, isothemecadastral, nodevtanr, subthemeparcels, vt-anr-open-data
Organization: Vermont Center for Geographic Information
Municipal Annexation

This layer provides boundary lines and information regarding annexations for each municipality within Maricopa County. <div><br /></div><div>Columns included: </div><div><ul><li>Ordinance Number</li><li>City Name</li><li>Link to Original Ordinance Document As Found On Maricopa County Recorder's Website</li><li>Ordinance Date</li><li>Ordinance Effective Date</li><li>Annexation Number</li><li>Ward Number</li><li>Description of City</li><li>Area Acreage</li></ul></div>

Tags: annexation, boundaries, open-data, planning
Organization: City of Tempe
3.31 Poverty Rate (summary)

<p>&nbsp;</p><p><span style='font-size:16px;'><font>This dataset includes Tempe and Maricopa County annual poverty rates.</font></span></p><p><span style='font-size:16px;'>This page provides data for the Poverty Rate performance measure.</span><br />&nbsp;</p><p>&nbsp;</p><p style='font-family:&quot;Avenir Next W01&quot;, &quot;Avenir Next W00&quot;, &quot;Avenir Next&quot;, Avenir, &quot;Helvetica Neue&quot;, sans-serif; font-size:16px;'>The performance measure dashboard is available at&nbsp;<a target='_blank' href='https://quality-of-life-tempegov.hub.arcgis.com/pages/poverty-rate' rel='nofollow ugc noopener noreferrer'>3.31 Poverty Rate</a>.</p><p style='font-family:&quot;Avenir Next W01&quot;, &quot;Avenir Next W00&quot;, &quot;Avenir Next&quot;, Avenir, &quot;Helvetica Neue&quot;, sans-serif; font-size:16px;'><strong>Additional Information</strong></p><p style='font-family:&quot;Avenir Next W01&quot;, &quot;Avenir Next W00&quot;, &quot;Avenir Next&quot;, Avenir, &quot;Helvetica Neue&quot;, sans-serif; font-size:16px;'><font style='font-family:inherit;'>Source:&nbsp;</font><span style='font-family:inherit;'><font style='font-family:inherit;'>&nbsp;</font></span><font style='font-family:inherit;'>American Community Survey 5-year estimates</font></p><p style='font-family:&quot;Avenir Next W01&quot;, &quot;Avenir Next W00&quot;, &quot;Avenir Next&quot;, Avenir, &quot;Helvetica Neue&quot;, sans-serif; font-size:16px;'>Contact: Octavia Harris</p><p style='font-family:&quot;Avenir Next W01&quot;, &quot;Avenir Next W00&quot;, &quot;Avenir Next&quot;, Avenir, &quot;Helvetica Neue&quot;, sans-serif; font-size:16px;'>Contact E-Mail: Octavia_Harris@tempe.gov</p><p style='font-family:&quot;Avenir Next W01&quot;, &quot;Avenir Next W00&quot;, &quot;Avenir Next&quot;, Avenir, &quot;Helvetica Neue&quot;, sans-serif; font-size:16px;'><font style='font-family:inherit;'>Data Source Type:&nbsp;Excel</font></p><p><font style='font-family:inherit; font-size:16px;'>Preparation Method:&nbsp;</font><span style='font-size:16px;'><font>manually</font></span></p><p style='font-family:&quot;Avenir Next W01&quot;, &quot;Avenir Next W00&quot;, &quot;Avenir Next&quot;, Avenir, &quot;Helvetica Neue&quot;, sans-serif; font-size:16px;'><font style='font-family:inherit;'>Publish Frequency:&nbsp;</font>annually</p><p style='font-family:&quot;Avenir Next W01&quot;, &quot;Avenir Next W00&quot;, &quot;Avenir Next&quot;, Avenir, &quot;Helvetica Neue&quot;, sans-serif; font-size:16px;'><font style='font-family:inherit;'>Publish Method:&nbsp;</font><span style='font-family:inherit;'><font style='font-family:inherit;'>&nbsp;</font></span>manually</p><p style='font-family:&quot;Avenir Next W01&quot;, &quot;Avenir Next W00&quot;, &quot;Avenir Next&quot;, Avenir, &quot;Helvetica Neue&quot;, sans-serif; font-size:16px;'><a target='_blank' href='https://tempe.gitbook.io/data-dictionary/3.31-poverty-rate' rel='nofollow ugc noopener noreferrer'>Data Dictionary&nbsp;</a><br />&nbsp;</p>

Tags: census, poverty, poverty-rate-pm-3-31, quality-of-life
Organization: City of Tempe
2024 Nov 5 Loudoun County Election Results

Loudoun County, Virginia - Federal, State, County, Towns, Special and General Election Results - November 5, 2024<div><br /></div><div><div><a href='https://www.loudoun.gov/181/Election-Results-Finance-Reports' rel='nofollow ugc'>Election Results &amp; Finance Reports | Loudoun County, VA - Official Website</a></div></div>

Tags: 2024-general-election, election, house, president, results, senate, u-s, vote
Organization: Loudoun County, Virginia
Alaska Seaweed Source Inventory

These data are part of NOAA fisheries efforts to identify Aquaculture Opportunity Areas (AOAs) in Alaska state waters. These data depict seaweed beds mapped during 2024-2025 in relation to draft AOA options within study areas and are provided in ESRI shapefile format. This seaweed source inventory contributes to environmental characterization as part of the AOA identification process, and may additionally support farmers and state agency officials when siting new seaweed farms in Alaska state waters. This shapefile was created through a participatory mapping process. During this process, stakeholders - including seaweed farmers, hatchery operators, and harvesters - delineated known seaweed beds using SeaSketch, a web-based GIS platform that provided base layers of shoreline maps and satellite imagery. Participants used the tool to draw polygons marking the location and species composition of beds. The SeaSketch polygons were exported to ArcGIS to create a usable data layer.

Tags: agricultural aquatic sciences, agriculture, akro aquaculture program, alaska, alaska regional office, aquaculture, biological classification, doc/noaa/nmfs/akro, earth science, fisheries, macroalgae (seaweeds), mariculture, national marine fisheries service, noaa, plants, u.s. department of commerce
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
July 2025 Kamchatka Peninsula, Russia Images

On July 29, 2025, at 23:24 UTC, a Mw 8.8 earthquake occurred offshore Kamchatka, Russian Federation along the Kuril-Kamchatka subduction zone. This earthquake is the largest event to occur globally since the 2011 Mw 9.0 Tohoku, Japan earthquake, and among the top ten largest earthquakes to occur globally since 1900. It triggered a tsunami that was observed across the Pacific Basin.

Tags: continent, doc/noaa/nesdis/ncei, doc/noaa/nesdis/ngdc, earth science, earthquakes, eastern europe, europe, human dimensions, icsu-wds, infrastructure, international council for science - world data system, national centers for environmental information, national geophysical data center, natural hazards, nesdis, noaa, noaa onestop project, ocean waves, oceans, russian federation, seiches, solid earth, tectonics, tsunamis, u.s. department of commerce
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
Graduation Rates for Students Enrolled in Baccalaureate Programs at SUNY Institutions (First Time, Full Time): Beginning Entering 2000

Graduation rates for students who entered SUNY Institutions as first-time, full-time students beginning in Fall 2000 seeking a Baccalaureate degree are provided for those completing within four years, five years or less and six years or less.

Tags: graduation-rates, higher-education, suny-institutions
Organization: State of New York
Claims Against State of Iowa

This dataset provides information on all claims against the State of Iowa or a State employee received by the State Appeal Board on or after July 1, 2015.  The State Appeal Board is three member board comprised of the Auditor of State, Treasurer of State, and Director of the Department of Management who approves or rejects, and pays claims received.

Claims are either general claims or tort claims.  General claims are related to outdated warrants, invoices, refunds, credits, exemptions, or outdated bills for merchandise or services rendered to the State. Tort claims claims involve property damage, personal injury or wrongful death.

Tags: general-claims, state-appeal-board, tort-claims
Organization: State of Iowa