This data set is no longer current – The most current data and all historical data sets can be found at https://data.nrel.gov/submissions/249 The purpose of this dataset is to summarize current community solar policies and low-income stipulations by state in the United States as of June 2024. The "State_Program" sheet summarizes the key policy details for each state. This list has been reviewed, but errors may exist, and the list may not be comprehensive. NREL invites input to update or add to the database. To submit updates, additions, or corrections please find contact information on the current data set page linked above.

Between the second and third quarters of 2023, the number of breached data points in the United Kingdom (UK) increased by around 56 percent. In comparison, the figure saw an increase of 157 percent between the first and second quarters of 2023. Overall, the number of breached data records has often varied in the measured period.

The Monthly Child Care Services Data Report - Children Served by County data set includes demographic data of children receiving Child Care and Development Fund (CCDF) assistance. The Administration for Children and Families (ACF) Office of Child Care (OCC) collects data regarding the children and families served through the Child Care and Development Fund (CCDF) as well as the types of child care settings and facilities providing services. Each quarterly data set contains data aggregated by county for each month of the quarter. Counts less than 5 are masked with an asterisk (*) to protect the confidentiality of individuals in this report.

Clients served in the community by the Juvenile Services Division of the Alameda County Probation Department.Dataset Overview and SourceThe Alameda County Probation Department (ACPD) collects information on all juveniles referred to the department and records this in PRISM (Probation Record Information System Management). Several reports are built into the PRISM system that allow ACPD staff to extract data for specified time periods. This dataset is derived from the PRISM PO-234 report. This report provides a dataset of all youth that have an assigned Probation Officer. Cases include formal supervision, informal supervision, intake, and investigations. The report provides a one-day snapshot of individual-level data on each youth along with demographic information. To create this dataset, the report was de-identified and edited to include the most pertinent information.Data Characteristics and Known LimitationsTo ensure confidentiality and to protect the identities of individuals on probation, the ages of some individuals in the dataset have been withheld, and marked “N/A”. This is done to avoid possible re-identification through the available demographic information, or stigmatization of a group when they make a substantial percent of a designated population. Please see the “Notes” tab in the public dataset file, which states the number of records with withheld ages in that dataset.PRISM is a referral system rather than a case management system, and a youth may have more than one open referral at a time. Therefore, the analyst who creates this report must apply a hierarchy to determine how to count youth with multiple open referrals, since PRISM does not perform this function. The hierarchy employed for this dataset is as follows: Warrant, Placement, Community Supervision, Intake / Investigations, Truancy.View Data Dictionary

Register of payments made as provided for in the Local Government Act 2001 to Councillors and the Register of Individual attendance records at Council Meetings for all Councillors. These registers include details of the following;Annual Representational Payment (Salary) which is subject to tax and statutory deductions.The Annual Allowance which is primarily in respect of expenses incurred through attendance at Council meetings. It is made up of three elements: travel to and from meetings, subsistence, postage and miscellaneous expenses incurred in their representational role. The amending regulations (S.I. No. 494 of 2017) provided for the introduction of a new vouched expenses allowance that elected members may choose to opt for in place of the existing fixed annual rate for miscellaneous expenses. There are attendance thresholds in place which determine the amount due to each Councillor. Payments in respect of travel and subsistence expenses incurred through attendance at conferences/seminars etc.Attendance Registers: This outlines details of Individual attendance records at Council Meetings for all Councillors.When examining these details the following should be taken into consideration;The Mayor /Deputy Mayor’s Allowance: The Local Government Act provides that a Local Authority can pay an allowance for reasonable expenses to its Mayor and Deputy Mayor for their term of office; these payments are subject to statutory deductions. Please note the term of office of Mayor and Deputy Mayor straddles two calendar years as they are elected at the annual meeting held at the end of June each year.The Strategic Policy Committee Chair Allowance is to cover all expenses relating to the position, including meetings of the Corporate Policy Group (High Level Strategic Group of the Council which meets a minimum of 12 times per year, compromising of the Mayor, Chief Executive and SPC Chairs), meetings with Local Authority Officials and /or meetings with external groups.

The MHMDS is a regular return of data generated by providers of adult secondary mental health services in England, in the course of delivering services to patients. From Q1 2011/12 onwards, the MHMDS also includes data from Independent Sector Organisations and is processed using the new system. Full details of the methods used in processing can be found in the MHMDS Version 4 User Guidance and Appendices (see related links). The MHMDS dataset is received by the HSCIC as record level anonymised data from patient administration systems, Care Programme Approach systems and Mental Health Act administration systems. Changes to this publication From April 2013, MHMDS will be collected and published on a monthly basis in order to support the implementation of Payment by Results. The scope of our routine MHMDS publication will change and we will be issuing a methodological change paper on the HSCIC website (www.hscic.gov.uk/pubs/methchanges) .

The data shows the number of new whistleblowing reports the FCA received between July and September 2024 and how the information was received. The FCA assess every whistleblowing case it receives that falls within the FCA's remit, to inform its work and help it identify actual or potential harm. This could be harm to consumers, to markets, to the UK economy or to wider society. The Whistleblowing team receives reports by telephone, email, its online reporting form, and post. In 2024 Q3 (July to September), the FCA received 322 new whistleblowing reports, containing 910 allegations in total.

This data set provides mobile (cellular) network performance, allocated to zoom level 16 web mercator tiles (approximately 610.8 meters by 610.8 meters at the equator). Download speed, upload speed, and latency are collected via the Speedtest by Ookla applications for Android and iOS and averaged for each tile. Measurements are filtered to results containing GPS-quality location accuracy. For more information please see the Ookla Github repository or the Registry of Open Data on AWS. Ookla licenses data to NGOs and educational institutions to fulfill its mission: to help make the internet better, faster and more accessible for everyone. Ookla hopes to further this mission by distributing the data to make it easier for individuals and organizations to use it for the purposes of bridging the social and economic gaps between those with and without modern Internet access. AURIN has generated a subset corresponding to the intersection with the extent of Australia. It was then reprojected from EPSG 4326 (WGS84) to 4283 (GDA94).

Between the second and third quarters of 2023, the number of breached data points in France decreased signifincantly. In comparison, the percentage change of breached accounts was over 275 percent between the last quarter of 2022 and the first quarter of 2023. Overall, the figure has fluctuated since the second quarter of 2020.

The Monthly Child Care Services Data Report - Families Served by ZIP Code data set includes demographic data of parents and families of children receiving Child Care and Development Fund (CCDF) assistance. The Administration for Children and Families (ACF) Office of Child Care (OCC) collects data regarding the children and families served through the Child Care and Development Fund (CCDF) as well as the types of child care settings and facilities providing services. Each quarterly data set contains data aggregated by ZIP code for each month of the quarter. Counts less than 5 are masked with an asterisk (*) to protect the confidentiality of individuals in this report.

The observed amplitude of the rotational photometric modulation of a star with spots should depend on the inclination of its rotational axis relative to our line of sight. Therefore, the distribution of observed rotational amplitudes of a large sample of stars depends on the distribution of their projected axes of rotation. Thus, comparison of the stellar rotational amplitudes of the Kepler objects of interest (KOIs) with those of Kepler single stars can provide a measure to indirectly infer the properties of the spin-orbit obliquity of Kepler planets. We apply this technique to the large samples of 993 KOIs and 33614 single Kepler stars in temperature range of 3500-6500K. We find with high significance that the amplitudes of cool KOIs are larger, on the order of 10%, than those of the single stars. In contrast, the amplitudes of hot KOIs are systematically lower. After correcting for an observational bias, we estimate that the amplitudes of the hot KOIs are smaller than the single stars by about the same factor of 10%. The border line between the relatively larger and smaller amplitudes, relative to the amplitudes of the single stars, occurs at about 6000K. Our results suggest that the cool stars have their planets aligned with their stellar rotation, while the planets around hot stars have large obliquities, consistent with the findings of Winn et al. (2010ApJ...718L.145W) and Albrecht et al. (2012, J/ApJ/757/18). We show that the low obliquity of the planets around cool stars extends up to at least 50 days, a feature that is not expected in the framework of a model that assumes the low obliquity is due to planet-star tidal realignment.

The Kepler Mission is searching for Earth-size planets orbiting solar-like stars by simultaneously observing >160000 stars to detect sequences of transit events in the photometric light curves. The Combined Differential Photometric Precision (CDPP) is the metric that defines the ease with which these weak terrestrial transit signatures can be detected. An understanding of CDPP is invaluable for evaluating the completeness of the Kepler survey and inferring the underlying planet population. This paper describes how the Kepler CDPP is calculated, and introduces tables of rms CDPP on a per-target basis for 3-, 6-, and 12-hr transit durations, which are now available for all Kepler observations. Quarter 3 is the first typical set of observations at the nominal length and completeness for a quarter, from 2009 September 18 to 2009 December 16, and we examine the properties of the rms CDPP distribution for this data set. Finally, we describe how to employ CDPP to calculate target completeness, an important use case.

Youth in custody and in alternatives to detention supervised by the Juvenile Facilities Division of the Alameda County Probation Department.Dataset Overview and SourceThe Alameda County Probation Department (ACPD) collects information on all juveniles referred to the department and records this in PRISM (Probation Record Information System Management). Several reports are built into the PRISM system that allow ACPD staff to extract data for specified time periods. This dataset is derived from the PRISM PO-170 report – the Juvenile Detentions Data Extract. This report contains individual-level information for all youth detained on the date specified. To create this dataset, the report was de-identified and edited to include the most pertinent information.Data Characteristics and Known Limitations• To ensure confidentiality and to protect the identities of individuals on probation, the ages of some individuals in the dataset have been withheld, and marked “N/A”. This is done to avoid possible re-identification through the available demographic information, or stigmatization of a group when they make a substantial percent of a designated population. Please see the “Notes” tab in the public dataset file, which states the number of records with withheld ages in that dataset.• This data contains all youth who were detained on the date specified. Many youth are booked into Juvenile Hall when arrested and subsequently released without ever spending a night in detention. These youth will be included in this dataset if they were detained at the time of the report, regardless of how long they stayed in Juvenile Hall.View Data Dictionary

The Monthly Child Care Services Data Report - Children Served by ZIP Code data set includes demographic data of children receiving Child Care and Development Fund (CCDF) assistance. The Administration for Children and Families (ACF) Office of Child Care (OCC) collects data regarding the children and families served through the Child Care and Development Fund (CCDF) as well as the types of child care settings and facilities providing services. Each quarterly data set contains data aggregated by ZIP code for each month of the quarter. Counts less than 5 are masked with an asterisk (*) to protect the confidentiality of individuals in this report.

The data shows the number of new whistleblowing reports the FCA received between July and September 2022 and the allegations they featured. The FCA Whistleblowing team receives reports about alleged wrongdoing in the areas of financial services that fall within its remit. The FCA assesses every whistleblowing case it receives, to inform the work it does and to help it to identify actual or potential harm that has arisen or could arise. This could be harm to consumers, to markets, to the UK economy or to wider society. The Whistleblowing team receives reports by telephone, email, its online reporting form and post. In 2022 Q3 (July - September), the FCA received 291 new whistleblowing reports.

NFHL with Q3 data only where no NFHL data exist. Neither dataset is available in Franklin county. See the MassGIS metadata pages for more information abut FEMA Q3 and NFHL data.

Abstract

The Quarterly Labour Force Survey (QLFS) is a household-based sample survey conducted by Statistics South Africa (Stats SA). It collects data on the labour market activities of individuals aged 15 years or older who live in South Africa.

Geographic coverage

National coverage

Analysis unit

Individuals

Universe

The QLFS sample covers the non-institutional population of South Africa with one exception. The only institutional subpopulation included in the QLFS sample are individuals in worker's hostels. Persons living in private dwelling units within institutions are also enumerated. For example, within a school compound, one would enumerate the schoolmaster's house and teachers' accommodation because these are private dwellings. Students living in a dormitory on the school compound would, however, be excluded.

Kind of data

Sample survey data [ssd]

Sampling procedure

The QLFS uses a master sampling frame that is used by several household surveys conducted by Statistics South Africa. This wave of the QLFS is based on the 2013 master frame, which was created based on the 2011 census. There are 3324 PSUs in the master frame and roughly 33000 dwelling units.

The sample for the QLFS is based on a stratified two-stage design with probability proportional to size (PPS) sampling of PSUs in the first stage, and sampling of dwelling units (DUs) with systematic sampling in the second stage.

For each quarter of the QLFS, a quarter of the sampled dwellings are rotated out of the sample. These dwellings are replaced by new dwellings from the same PSU or the next PSU on the list. For more information see the statistical release.

Mode of data collection

Computer Assisted Telephone Interview [cati]

Research instrument

The survey questionnaire consists of the following sections: - Biographical information (marital status, education, etc.) - Economic activities in the last week for persons aged 15 years and older - Unemployment and economic inactivity for persons aged 15 years and above - Main work activity in the last week for persons aged 15 years and above - Earnings in the main job for employees, employers and own-account workers aged 15 years and above

From 2010 the income data collected by South Africa's Quarterly Labour Force Survey is no longer provided in the QLFS dataset (except for a brief return in QLFS 2010 Q3 which may be an error). Possibly because the data is unreliable at the level of the quarter, Statistics South Africa now provides the income data from the QLFS in an annualised dataset called Labour Market Dynamics in South Africa (LMDSA). The datasets for LMDSA are available from DataFirst's website.

Housing Supply Coordination Task Force For DublinBackground - Construction 2020In May 2014, the Government published Construction 2020 – A Strategy for a Renewed Construction Sector (link is external). This Strategy sets out Government policy to increase the capacity of the Sector to create and sustain jobs and to grow the sector to a sustainable level consistent with the demands of a modern economy.Housing Supply Coordination Taskforce for DublinAction 2 of Construction 2020 commits to the establishment of a Housing Supply Coordination Taskforce for Dublin. Accordingly, the Task Force was established in June 2014 and comprises of the Department of the Environment, Community and Local Government, the four Dublin local authorities (Dublin City, Fingal, South Dublin and Dún Laoghaire-Rathdown), NAMA and other agencies, with the Chief Executive of South Dublin County Council as chair.The focus of the Task Force is to address supply-related issues to the delivery of housing units in the Dublin region. The group are working together to identify housing developments that have planning permission and that are capable of delivering housing to the market. .hidden { display: none }

The FCA analyses the data, from 1 July 2022 to 30 September 2022, resulting from action it has taken against authorised firms breaching financial promotion rules and referrals, and investigations into unregulated activity. The data the FCA gathers means it can monitor developments in the market, get insights into sectors it has concerns about and act to prevent consumers from harm. The latest data shows the FCA reviewed 340 financial adverts relating to authorised firms, and its engagement resulted in 4,151 promotions being amended or withdrawn. Retail lending (with 46%), retail investments and retail banking are the sectors with the highest amend/withdraw outcomes, amounting to 95% of the FCA's interventions with authorised firms.

This data set provides fixed broadband network performance, allocated to zoom level 16 web mercator tiles (approximately 610.8 meters by 610.8 meters at the equator). Download speed, upload speed, and latency are collected via the Speedtest by Ookla applications for Android and iOS and averaged for each tile. Measurements are filtered to results containing GPS-quality location accuracy. For more information please see the Ookla Github repository or the Registry of Open Data on AWS. Ookla licenses data to NGOs and educational institutions to fulfill its mission: to help make the internet better, faster and more accessible for everyone. Ookla hopes to further this mission by distributing the data to make it easier for individuals and organizations to use it for the purposes of bridging the social and economic gaps between those with and without modern Internet access. AURIN has generated a subset corresponding to the intersection with the extent of Australia. It was then reprojected from EPSG 4326 (WGS84) to 4283 (GDA94).