AndreaBozzo/ceres-open-data-index huggingface dataset:
Municipal Fiscal Indicators, 2013

Municipal Fiscal Indicators is an annual compendium of information compiled by the Office of Policy and Management, Intergovernmental Policy Division (IGP), Municipal Finance Services Unit (MFS). The data contained in Indicators provides key financial and demographic information on municipalities in Connecticut. Municipal Fiscal Indicators contains the most current financial data available for each of Connecticut's 169 municipalities. The majority of this data was compiled from the audited financial statements that are filed annually with the State of Connecticut, Office of Policy and Management, IGP Division. This database of information includes selected demographic and economic data relating to, or having an impact upon, a municipality’s financial condition.

Tags: fiscal-indicators, municipal, opm
Organization: State of Connecticut
2013 OPM JAG Local Pass Through Grants: Police Video Equipment Technology (PVET)

This dataset provides detail on projects funded through the 2013 OPM JAG Local Pass Through Grant for Police Video Equipment Technology (PVET). Approximately $2.6 million of federal funds was distributed to nine police departments/municipalities with the primary purpose to assist towns in complying with Public Act 11-174 AAC Electronic Recording of Interrogations.  

Public Act 11-174, An Act Concerning the Electronic Recording of Interrogations, requires the electronic recording of interrogations in certain situations beginning on January 1, 2014. The Office of the Chief States Attorney (OCSA), in conjunction with the Police Officer Standards and Training Council, the Connecticut Police Chiefs Association  and the Connecticut State Police, developed the standards for a digital audiovisual  recording system for implementation of the statute.

The State of Connecticut Office of Policy and Management (OPM) provided grant funds under the Police Video Equipment Technology (PVET) program to assist local governments with purchasing equipment necessary for conformance with the PA 11-174 standards. OPM developed the grant program parameters in collaboration with the Connecticut Police Chiefs Association.

Tags: opm, police, pvet
Organization: State of Connecticut
Municipal Fiscal Indicators, 2014

Municipal Fiscal Indicators is an annual compendium of information compiled by the Office of Policy and Management, Intergovernmental Policy Division (IGP), Municipal Finance Services Unit (MFS). The data contained in Indicators provides key financial and demographic information on municipalities in Connecticut. Municipal Fiscal Indicators contains the most current financial data available for each of Connecticut's 169 municipalities. The majority of this data was compiled from the audited financial statements that are filed annually with the State of Connecticut, Office of Policy and Management, IGP Division. This database of information includes selected demographic and economic data relating to, or having an impact upon, a municipality’s financial condition.

Tags: fiscal-indicators, municipal, municipal-fiscal-indicators, opm
Organization: State of Connecticut
CT Municipalities

The CT Municipalities layer consists of individual polygons representing each of the 169 municipalities that make up the state of Connecticut. This feature class is based on the Towns layer originally created by CTDEEP from USGS maps. The towns from the CTDEEP data were dissolved to create 169 records (one for each town). Fields were added and deleted to create a generic schema.The CT Municipalities feature class was created in (municipality) alphabetical order. Fields were added to identify the municipality number and the CTDOT Municipality number, which differ from each other in some cases. In 1947 the town of Saybrook officially changed its name to Deep River. Other State agencies and municipalities changed their numbering systems to reflect this name change, however, most of what is now CTDOT kept their existing numbering system. This is why the CTDOT town number for Deep River is 122, the number formerly assigned to Saybrook.The square miles associated with each town are for their interior land mass area. Coastal communities have boundaries that extend into Long Island Sound. These town boundary extensions into Long Island Sound are not included in the square miles field.CTDOT has created and will maintain a cartographic rendering of the geometric shape of Municipal boundaries. Official Town and City designations as incorporated areas consisting of an authorized governing body are managed by CT's Office of Policy and Management (OPM).CTDOT has undertaken a good faith effort to represent the boundaries cartographically in a fair and equitable fashion, from the best available data compiled from existing state, regional, and local resources including - existing historical cartographic renderings of the boundary locations, supplemental survey information, and map submissions.  Corrections can be submitted to the CTDOT for incorporation and correction where applicable.Attribution was assigned to designations managed by a variety of entities that strictly follow Municipal boundaries and additional designations will be added as requested by State, regional, and local partners.

Tags: ct-municipalities, ct-towns, geodata-portal
Organization: State of Connecticut
Municipal Coronavirus Relief Fund (CRF) Interim Reporting by Town - Payroll

This dataset includes interim municipal reporting information for the Municipal Coronavirus Relief Fund (CRF) Program for Connecticut municipalities for the period July 1, 2020 through September 30, 2021 on eligible expenses.

This dataset includes payroll-related expenses. Other expenses are included in an additional dataset available at the following link: https://data.ct.gov/Government/Municipal-Coronavirus-Relief-Fund-CRF-Interim-Repo/4v5e-qdzb

The CRF Program was established by the CT Office of Policy and Management (OPM) to reimburse municipalities for costs incurred in responding to the COVID-19 pandemic with funds from the Federal Coronavirus Aid, Relief, and Economic Security Act (CARES Act).

More information about the CRF Program can be found her: https://portal.ct.gov/OPM/Coronavirus/Coronavirus-Relief-Fund/Municipal-CRF-Program

Tags: covid-19, crf, economic-recovery, municipal-coronavirus-relief-fund
Organization: State of Connecticut
Municipal Coronavirus Relief Fund (CRF) Interim Reporting by Town - Other Expenditures

This dataset includes interim municipal reporting information for the Municipal Coronavirus Relief Fund (CRF) Program for Connecticut municipalities for the period July 1, 2020 through September 30, 2021 on eligible expenses.

This dataset includes non-payroll-related expenses. Payroll-related expenses are included in an additional dataset available at the following link: https://data.ct.gov/Government/Municipal-Coronavirus-Relief-Fund-CRF-Interim-Repo/5af8-w3zi

The CRF Program was established by the CT Office of Policy and Management (OPM) to reimburse municipalities for costs incurred in responding to the COVID-19 pandemic with funds from the Federal Coronavirus Aid, Relief, and Economic Security Act (CARES Act).

More information about the CRF Program can be found her: https://portal.ct.gov/OPM/Coronavirus/Coronavirus-Relief-Fund/Municipal-CRF-Program

Tags: covid-19, crf, economic-recovery, municipal-coronavirus-relief-fund
Organization: State of Connecticut
Affordable Housing by Town 2011-2023

The Affordable Housing Appeals Procedure List is published annually on or about February 1. The data for the Affordable Housing Appeals Procedure List comes from different sources including federal, state and local programs. This makes it difficult to ensure complete accuracy, so DOH asks municipalities to provide a local administrative review of and input on the street addresses of units and projects as well as information on deed-restricted units. The responses received by DOH vary widely from each municipality.

In developing the Affordable Housing Appeals Procedure List, DOH counts:

-Assisted housing units or housing receiving financial assistance under any governmental program for the construction or substantial rehabilitation of low and moderate income housing that was occupied or under construction by the end date of the report period for compilation of a given year’s list; 
-Rental housing occupied by persons receiving rental assistance under C.G.S. Chapter 138a (State Rental Assistance/RAP) or Section 142f of Title 42 of the U.S. Code (Section 8); 
-Ownership housing or housing currently financed by the Connecticut Housing 
Finance Authority and/or the U.S. Department of Agriculture; and 
-Deed-restricted properties or properties with deeds containing covenants or restrictions that require such dwelling unit(s) be sold or rented at or below prices that will preserve the unit(s) as affordable housing as defined in C.G.S. Section 8-39a for persons or families whose incomes are less than or equal to 80% of the area median income.

Tags: affordable, affordable-housing, affordable-housing-appeals-procedure-list, doh, housing
Organization: State of Connecticut
Municipal Fiscal Indicators 2010-2014

Municipal Fiscal Indicators is an annual compendium of information compiled by the Office of Policy and Management, Intergovernmental Policy Division (IGP), Municipal Finance Services Unit (MFS). The data contained in Indicators provides key financial and demographic information on municipalities in Connecticut.

Municipal Fiscal Indicators contains the most current financial data available for each of Connecticut's 169 municipalities. The majority of this data was compiled from the audited financial statements that are filed annually with the State of Connecticut, Office of Policy and Management, IGP Division. This database of information includes selected demographic and economic data relating to, or having an impact upon, a municipality’s financial condition. The most recent edition is for the Fiscal Years Ended 2010-2014 published in April of 2016 (ammending the January 2016 version).

Tags: fiscal-indicator, municipal, municipal-fiscal-indicators, opm
Organization: State of Connecticut
Municipal Budget Database System (MBDS)

The Municipal Budget Database System (MBDS) consists of the adopted budgets provided annually to OPM by each of the 169 Connecticut municipalities and the City of Groton via OPM’s Fiscal Health Monitoring System (FHMS) portal. The MBDS provides a central location to access and download any municipal adopted budget filed with OPM dating back to FY 2022.

For questions regarding the budgetary information included in a municipality’s adopted budget, please contact the municipality directly. For questions or comments on the MBDS please contact us at opm-fhms@ct.gov.

Tags: budget, fhms, fiscal-health-monitoring-system, mbds, municipal-budget
Organization: State of Connecticut
Municipal Coronavirus Relief Fund (CRF) Expenditures by Town, July 1, 2020 - December 31, 2021 - Invoice Transactions

This dataset includes municipal reporting information for the Municipal Coronavirus Relief Fund (CRF) Program for Connecticut municipalities from July 1, 2020 - December 31, 2021. This dataset includes invoice transactions; payroll expenditures for this reporting period are published in a separate dataset available here: https://data.ct.gov/d/huqw-chzi/

Municipal expenditures from the previous reporting period (March 1 - June 30, 2020) are available here: https://data.ct.gov/d/3vh2-vbmk

The CRF Program was established by the CT Office of Policy and Management (OPM) to reimburse municipalities for costs incurred in responding to the COVID-19 pandemic with funds from the Federal Coronavirus Aid, Relief, and Economic Security Act (CARES Act).

More information about the CRF Program can be found here: https://portal.ct.gov/OPM/Coronavirus/Coronavirus-Relief-Fund/Municipal-CRF-Program

Tags: covid-19, crf, economic-recovery, municipal-coronavirus-relief-fund
Organization: State of Connecticut
Municipal Fiscal Indicators 2009-2013

Municipal Fiscal Indicators is an annual compendium of information compiled by the Office of Policy and Management, Intergovernmental Policy Division (IGP), Municipal Finance Services Unit (MFS). The data contained in Indicators provides key financial and demographic information on municipalities in Connecticut.

Municipal Fiscal Indicators contains the most current financial data available for each of Connecticut's 169 municipalities. The majority of this data was compiled from the audited financial statements that are filed annually with the State of Connecticut, Office of Policy and Management, IGP Division. This database of information includes selected demographic and economic data relating to, or having an impact upon, a municipality’s financial condition.

Tags: municipal-fiscal-indicators
Organization: State of Connecticut
2.16 311 Caller Wait Time (summary)

<p>The Customer Relations Center (CRC) or Tempe 311 is often the first and possibly only contact a resident has with the City. Our goal is to make each interaction as smooth and efficient as possible. The 311 Customer Relations Center strives to achieve an average caller wait time of less than or equal to sixty seconds for 90% of phone calls to Tempe 311.</p><p>This page provides data for the 311 Caller Wait Time performance measure.</p><p>The performance measure dashboard is available at <a target='_blank' href='https://strong-community-connections-tempegov.hub.arcgis.com/pages/311-caller-wait-time' rel='nofollow ugc noopener noreferrer'>2.16 Caller Wait Time</a>.</p><p><a target='_blank' href='https://tempe.gitbook.io/data-dictionary/2.16-311-caller-wait-time' rel='nofollow ugc noopener noreferrer'><strong>Data Dictionary&nbsp;</strong></a></p><p><span style='font-size:18px;'><strong>Additional Information</strong></span></p><p><strong>Source:</strong> Cisco Unified Intelligence Center</p><p><strong>Contact:</strong> Moncayo, Kim</p><p><strong>Contact E-Mail:</strong> Kim_Moncayo@tempe.gov</p><p><strong>Data Source Type:</strong> Excel</p><p><strong>Preparation Method:</strong> Contact Service Queue Call Distribution Summary Report will be pulled from Cisco Unified Intelligence Center. The total/percentage calls handled with queue time of 60 seconds will be extracted from this report.</p><p><strong>Publish Frequency:</strong> Quarterly</p><p><strong>Publish Method:</strong> Manual</p>

Tags: 311-caller-wait-time-pm-2-16, hold-time, on-hold, phone, queue-time, strong-community-connections, wait-time
Organization: City of Tempe
2.17 311 Email Response Times (summary)

<p>The Customer Relations Center (CRC) or Tempe 311 is often the first and possibly only contact a resident has with the City. Our goal is to make each interaction as smooth and efficient as possible. Our goal is to achieve a response rate to the Tempe 311 inbox messages (emails to 311, voicemails, emails from tempe.gov, work requests) of less than or equal to 1 business day for 90% of inquiries.</p><p>This page provides data for the 311 Email Response Time performance measure.</p><p>The performance measure dashboard is available at&nbsp;<a target='_blank' href='https://strong-community-connections-tempegov.hub.arcgis.com/pages/311-email-response-time' rel='nofollow ugc noopener noreferrer'>2.17 311 Email Response Time</a>.</p><p><a target='_blank' href='https://tempe.gitbook.io/data-dictionary/2.17-311-email-response-times' rel='nofollow ugc noopener noreferrer'><strong>Data Dictionary&nbsp;</strong></a></p><p><span style='font-size:18px;'><strong>Additional Information</strong></span></p><p><strong>Source:</strong> tempe.gov and Accela CRM</p><p><strong>Contact:</strong> Moncayo, Kim</p><p><strong>Contact E-Mail:</strong> Kim_Moncayo@tempe.gov</p><p><strong>Data Source Type:</strong></p><p><strong>Preparation Method: </strong>All emails or voice messages from the Tempe311 inbox are entered into Accela CRM as a work order or a request. An excel report is pulled from Accela CRM of all Tempe311 Inbox entries and then checked and verified for response time.</p><p><strong>Publish Frequency:</strong> Quarterly</p><p><strong>Publish Method:</strong> Manual</p>

Tags: 311-email-response-times-pm-2-17, strong-community-connections
Organization: City of Tempe
5.07 Employee Turnover (summary)

<p>Turnover data by fiscal year for the City of Tempe compared to the seven market cities, which include Chandler, Gilbert, Glendale, Mesa, Phoenix, Peoria, and Scottsdale. There are two totals, one with and one without retirees.</p><p><i>Please note that the Valley Benchmark Cities’ annual average is unavailable for FY 2020/2021 due to a gap in data collection during that year. Please note that corrections were made to the data, including historic data, due to additional review and research on the data on 10/2/2024.</i></p><p>This page provides data for the Employee Turnover performance measure.</p><p>The performance measure dashboard is available at <a target='_blank' href='https://financial-stability-and-vitality-tempegov.hub.arcgis.com/pages/employee-turnover' rel='nofollow ugc noopener noreferrer'>5.07 Employee Turnover</a>.<br /><br /><a target='_blank' href='https://tempe.gitbook.io/data-dictionary/business-and-economy/5.07-employee-turnover' rel='nofollow ugc noopener noreferrer'><strong>Data Dictionary</strong></a></p><p><span style='font-size:18px;'><strong>Additional Information</strong></span><br /><br /><strong>Source:</strong> Department Reports</p><p><strong>Contact:</strong> Lawrence La Victoire</p><p><strong>Contact E-Mail:</strong> lawrence_lavictoire@tempe.gov</p><p><strong>Data Source Type:</strong> Excel</p><p><strong>Preparation Method:</strong> Extracted from PeopleSoft, and requested data from other cities is entered manually into a spreadsheet, and calculations are conducted to determine the percent of turnover per fiscal year</p><p><strong>Publish Frequency:</strong> Annually</p><p><strong>Publish Method:</strong> Manual</p>

Tags: employee-turnover-pm-5-07, financial-stability-and-vitality
Organization: City of Tempe
Utah FORGE 2439: Machine Learning for Well 16A(78)-32 Stress Predictions

This report reviews the training of machine learning algorithms to laboratory triaxial ultrasonic velocity data for Utah FORGE Well 16A(78)-32.  Three machine learning (ML) predictive models were developed for the prediction of vertical and two orthogonally oriented horizontal stresses in the well. The ML models were trained using laboratory-based triaxial ultrasonic wave velocity (labTUV) data wherein wave velocities were measured with various combinations of true triaxial applied stress. The ultrasonic velocities data include compressional, fast shear, and slow shear velocities in each of three directions for a total of nine velocities for each stress combination. However, because the ultimate goal is to deploy the trained model for interpretation of field sonic log data where only the vertically propagating waves are measured, the work here focuses on just the wave velocities with vertical (z-direction) propagation. Also, because vertical (overburden) is often well constrained, one approach explored here is to take the vertical stress also as known and train the model to predict the two horizontal stresses. This work was done as part of Utah FORGE project 2439: A Multi-Component Approach to Characterizing In-Situ Stress at the U.S. DOE FORGE EGS Site: Laboratory, Modeling and Field Measurement. 

Tags: artificial-neural-network, energy, feed-forward-artificial-neural-network, geophysics, geothermal, in-situ-stress, machine-learning, model, seismic, stress-characterization, stress-prediction, triaxial, utah-forge
Organization: Department of Energy
Municipal Coronavirus Relief Fund (CRF) Expenditures by Town, March 1 - June 30, 2020

This dataset includes municipal reporting information for the Municipal Coronavirus Relief Fund (CRF) Program for Connecticut municipalities from March 1 - June 30, 2020. 

The CRF Program was established by the CT Office of Policy and Management (OPM) to reimburse municipalities for costs incurred in responding to the COVID-19 pandemic with funds from the Federal Coronavirus Aid, Relief, and Economic Security Act (CARES Act).

More information about the CRF Program can be found here: https://portal.ct.gov/OPM/Coronavirus/Coronavirus-Relief-Fund/Municipal-CRF-Program

Tags: covid-19, crf, economic-recovery, municipal-coronavirus-relief-fund
Organization: State of Connecticut
5.07 Employee Turnover (dashboard)

<div>This operations dashboard shows historic and current data related to this performance measure. <br /></div><div><br /></div><div><p style='margin: 0in 0in 0.0001pt;'>The performance measure dashboard is available at <a href='https://financial-stability-and-vitality-tempegov.hub.arcgis.com/pages/employee-turnover' target='_blank' rel='nofollow ugc noopener noreferrer'>5.07 Employee Turnover</a>.</p><p style='margin: 0in 0in 0.0001pt;'> </p><p style='margin: 0in 0in 0.0001pt;'><a href='https://gis.tempe.gov/design/data-dictionary/5.07%20Employee%20Turnover%20(summary)/' target='_blank' rel='nofollow ugc noopener noreferrer'>Data Dictionary</a><br /></p></div><div><br /></div>

Tags: employee-turnover-pm-5-07, financial-stability-and-vitality
Organization: City of Tempe
Address Data Exporter

<span 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 Address Data Exporter lets you view, select and download City of Tempe address data. You can select the addresses you want to export by drawing a box (or other shape) around the area of interest.</span><div 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;'><br /></div><div 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;'>Data provided are also available through the city's <a href='https://data.tempe.gov/datasets/addresses/explore' style='color:rgb(0, 97, 155); text-decoration-line:none; font-family:inherit;' target='_blank' rel='nofollow ugc noopener noreferrer'>Open Data portal.</a></div>

Tags: address, arizona, community-development, land-use, location, parcels, planning, tempe
Organization: City of Tempe
GOES Space Environment Monitor, X-ray Sensor

Solar x-ray flux data.

Tags: doc/noaa/nesdis/ncei, doc/noaa/nesdis/ngdc, earth science, icsu-wds, international council for science - world data system, national centers for environmental information, national geophysical data center, nesdis, noaa, solar activity, solar flares, solar x-ray emissions, spectral/engineering, sun-earth interactions, u.s. department of commerce, x-ray, x-ray flux
Organization: National Oceanic and Atmospheric Administration, Department of Commerce