These official statistics monitor the delivery of measures through the Green Homes Grant Local Authority Delivery (LAD) and Home Upgrade Grant schemes. The tables provide analysis on the measures installed and households receiving measures. Within each publication, a commentary explaining the key trends is provided. As part of the scheme monitoring, the analysis is shown by geographical region. The scheme covers England only. These statistics are provisional and are subject to future revisions. Home Upgrade Grant statistics included from July 2022 release onwards.

This dataset is created as part of project "Judeo-Spanish: Connecting the two ends of the Mediterranean" carried out by Col·lectivaT and Sephardic Center of Istanbul within the framework of the “Grant Scheme for Common Cultural Heritage: Preservation and Dialogue between Turkey and the EU–II (CCH-II)” implemented by the Ministry of Culture and Tourism of the Republic of Turkey with the financial support of the European Union. The content of this website is the sole responsibility of Col·lectivaT and does not necessarily reflect the views of the European Union.

Names of boys under the Farm Lads migration scheme. Names are taken from correspondence between the Immigration Agent and prospective employers, farm learners (farm lads) and parents regarding possible employment or the boys' placement on farms: S5384, S13150, S13069. Records held by Queensland State Archives.

A healthy subject scanned by DTI30,DTI60, HARDI, and DSI.

Yeh, Fang-Cheng, Van Jay Wedeen, and Wen-Yih Isaac Tseng. "Generalized q-sampling imaging." IEEE transactions on medical imaging 29.9 (2010): 1626-1635.

Advanced Biomedical MRI Lab at National Taiwan University Hospital (termed the NTU Lab in the following agreements) hereby grants a license to use images and data that appears on this webpage solely for non-commercial educational and research purposes, subject to the following restrictions: (1) You must at all times acknowledge and attribute ownership of the distributed images and data to the NTU Lab in any documentation, advertising materials, and other materials related to this distribution. (2) Redistribution and use of the image are permitted provided that this paragraph are duplicated in all such forms. As the images and data is experimental in nature and is being provided solely to facilitate medical, academic and scientific research, you agree that you will use this information, images, and data at your own risk and without recourse or liability of any kind to NTU Lab. (3) NTUH ADVANCED BIOMEDICAL MRI LAB MAKES NO REPRESENTATIONS AND EXTENDS NO WARRANTIES OF ANY KIND, EITHER EXPRESSED OR IMPLIED WITH RESPECT TO THE INFORMATION, IMAGES AND DATA, AND THERE ARE NO EXPRESS OR IMPLIED WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE. (4) Use of the information, images or data for any commercial purposes is strictly prohibited without the express written consent of the NTU Lab.

The datasets reflect on two main scenarios (S1-S2) related to SUC4 - corresponding to cyber attacks affecting the Coordinated Overcurrent Protection Scheme. The first scenario explores the response of the coordinated overcurrent protection when circuit breakers (CBs) are healthy, under normal operation, i.e., SUC4/S1(without attack), and the under a FDI cyberattack on IEC 61850 - GOOSE communication protocol, i.e., SUC4/S1(with FDI attack). Similarly, the second scenario investigates the response of the coordinated overcurrent protection when there a mechanical failure in the CB of the downstream feeder, under normal operation, i.e., SUC4/S2(without attack), and the under a message suppresion (MS) cyber-attack on GOOSE protocol, i.e., SUC4/S2(with MS attack). Details regarding the datasets captured during the execution of each scenario (with and without attacks), including electrical measurements and network traffic, are briefly rsummarized below, while the full details are provided in the supporting documents.

• SUC4/S1(without attack) datasets/Normal operation (without cyber-attack on GOOSE) when CBs are healthy : This dataset is related to the operation of the sandboxing use case SUC4 described in this document, which examines operation of the protection scheme in a substation using overcurrent protective relays (IEDs) in the sandboxing environment, that communicate with each other via IEC6180/GOOSE protocol. Specifically, this dataset corresponds to the first scenario (S1) of SUC4, without any attack. More details about the scenario related to this dataset can be found in Section 1.3.1 of the SUC4 supporting document. The dataset includes electrical measurements of the upstream and downstream feeders of the substation, the status (stNum) and sequence (sqNum) numbers, along with the binary values in “alldata” field of the GOOSE messages of IED1 and IED2, as well as the status of the CB1 and CB2. The dataset is provided in the form of time-series measurements available as MATLAB (.mat) and CSV (.csv) files. The measurements were recorded with a 0.5-millisecond time resolution by specific blocks in RT-Lab environment of the real time simulator. In addition, network traffic data as Packer CAPture files (.pcapng) are included in this database.
• SUC4/S1(with FDI attack) datasets/FDI cyber-attack on GOOSE signals when CBs are healthy: This dataset corresponds to the first scenario (S1) of SUC4, where an FDI cyber-attack is conducted in the local network by an attacker model, in order to inject fake messages to deceive an IED to unnecessarily trip its CB during normal grid conditions (without a shortcircuit event) and cause a regional blackout. More details about the scenario related to this dataset can be found in Section 1.3.1 of the supporting document. The dataset includes electrical measurements of the upstream and downstream feeders of the substation, the status (stNum) and sequence (sqNum) numbers, along with the binary values in “alldata” field of the GOOSE messages of IED1 and IED2, as well as the status of the CB1 and CB2. The dataset is provided in the form of time-series measurements available as MATLAB (.mat) and CSV (.csv) files. The measurements were recorded with a 0.5-millisecond time resolution by specific blocks in RT-Lab environment of the real time simulator. In addition, network traffic data as Packer CAPture files (.pcapng) are included in this database.
  
• SUC4/S2(without attack) datasets/ Normal operation (without attack on GOOSE) when CB presents a failure: This dataset corresponds to the first scenario (S1) of SUC4, where an FDI cyber-attack is conducted in the local network by an attacker model, in order to inject fake messages to deceive an IED to unnecessarily trip its CB during normal grid conditions (without a shortcircuit event) and cause a regional blackout. More details about the scenario related to this dataset can be found in Section 1.3.1 of the supporting document. The dataset includes electrical measurements of the upstream and downstream feeders of the substation, the status (stNum) and sequence (sqNum) numbers, along with the binary values in “alldata” field of the GOOSE messages of IED1 and IED2, as well as the status of
  the CB1 and CB2. The dataset is provided in the form of time-series measurements available as MATLAB (.mat) and CSV (.csv) files. The measurements were recorded with a 0.5-millisecond time resolution by specific blocks in RT-Lab environment of the real time simulator. In addition, network traffic data as Packer CAPture files (.pcapng) are included in this database.
  
• SUC4/S2(with MS attack) datasets/MS cyber-attack on GOOSE signals when CB presents a failure: This dataset corresponds to the second scenario (S2) of SUC4, where an MS cyber-attack is conducted in the local network in order prevent critical benign messages, such inter-trip messages requesting backup protection, to reach their destination (back-up IED) when a CB failure occurs during a short-circuit event. As a result, the duration of a short-circuit is prolonged or the protection scheme is not able to clear the short-circuit event, which can cause catastrophic failures to power system. More details about the scenario related to
  this dataset can be found in Section 1.3.2 of the support document. The dataset includes electrical measurements of the upstream and downstream feeders of
  the substation, the status (stNum) and sequence (sqNum) numbers, along with the binary values in “alldata” field of the GOOSE messages of IED1 and IED2, as well as the status of the CB1 and CB2. The dataset is provided in the form of time-series measurements available as MATLAB (.mat) and CSV (.csv) files. The measurements were recorded with a 0.5-millisecond time resolution by specific blocks in RT-Lab environment of the real time simulator. In addition, network traffic data as Packer CAPture files (.pcapng) are included in this database.
  

This dataset contains results of our simulation experiments carried out for the Optimal Dynamic Spectrum Access Scheme to utilize white space in LTE Systems. The results were published in the proceedings of IEEE WCNC 2019 with the title "Optimal Dynamic Spectrum Access Scheme for Utilizing White Space in LTE Systems". One set of data belongs to output of experiments run against LTE data captured in our lab and corresponds to various configurations used in our experiment (please see the paper for different configuration). Python scripts are provided to process theses data files and plot the graphs published in the paper. Another set of data corresponds to the experiments run against LTE data collected in the metro Philadelphia area with different configuration (please refer to the paper for different configurations used with these experiments). Python scripts are also provided to process the data files and obtain the graphs presented in the paper.

Table 2 shows the number of times EPs chose each payment scheme by accent and LI origin pooled over all tasks.Summary statistics of payment scheme choice pooled over all tasks.

This repository contains the full documentation for the BSAM scheme (green rating system) for countries in the sub-Saharan region of Africa.

The BSAM scheme forms part of a research project funded by the Sustainable City Lab and the Department of Building and Real Estate, The Hong Kong Polytechnic University.

Note: Links to Journal articles and ongoing projects related to the BSAM scheme, when published will be updated on this page. Kindly bookmark this page if interested.

The Coventry Mobility Credits scheme offered residents of Coventry the opportunity to exchange an old, polluting vehicle for £3,000 worth of Mobility Credits. These credits could be exchanged on public transport (including bus, tram, and train), alternative transport services such as taxis, car sharing, and bike sharing or used for purchasing a bike or cycling accessories. TRL was commissioned by Transport for West Midlands (TfWM) to conduct an evaluation of the scheme in terms of scheme design and scheme impact. Data were collected from participants of the scheme and non-participants (i.e., people who were not involved with the scheme).

Hours worked per week Source: Census 2001 Publisher: Neighbourhood Statistics Geographies: Output Area (OA), Lower Layer Super Output Area (LSOA), Local Authority District (LAD), Government Office Region (GOR), National Geographic coverage: England and Wales Time coverage: 2001 Type of data: Survey (census) Notes: The question on hours worked was only asked of people who carried out paid work in the week before the Census, whether self-employed or as an employee. It includes casual or temporary work, even if only for one hour; being on a government sponsored training scheme; being away from a job/business ill, on maternity leave, on holiday or temporarily laid off; or doing paid or unpaid work for their own or family business.

Abstract copyright UK Data Service and data collection copyright owner.Understanding Society (UK Household Longitudinal Study), which began in 2009, is conducted by the Institute for Social and Economic Research (ISER) at the University of Essex, and the survey research organisations Verian Group and NatCen. It builds on and incorporates the British Household Panel Survey (BHPS), which began in 1991. The Understanding Society: Linked Nest Auto-enrolment Pensions Dataset, 2014-2022: Secure Access study contains a file extracted from the National Employment Savings Trust (Nest), a defined contribution workplace pension scheme set up as part of the UK government's workplace pension reforms under the Pensions Act 2008, with the first members being brought into the scheme in October 2012. This file can be linked (within the UK Data Service Secure Lab) to Understanding Society participants using the cross-wave personal identifier (variable pidp). For all individuals with a valid consent to Nest linkage collected in Wave 11 of Understanding Society, and a Nest account, the data file includes information on: participation in, and levels of savings and withdrawals within, the UK's pensions auto-enrolment system; workers' behaviour within the workplace pensions system; labour market dynamics, including earnings patterns broken down into individual employments. See the documentation for further details.This study is designed to be used in conjunction with one of the main Understanding Society studies (SN 6614, SN 6931 or SN 6676) using pidp as the linking variable. Further details can be found on the Understanding Society series webpage. Main Topics: Topics covered in the data files include involvement in and interaction with the auto-enrolment system, including: the start and end months of all enrolments into the Nest scheme contributions paid by the individual, the employer and the government (in tax relief)savings balances, withdrawals and other behaviours within the Nest scheme start and end date of any employments with employers using Nest as their auto-enrolment pension schememonthly pensionable earnings received in each of these employments - as normalised from weekly, fortnightly or monthly payroll data received by Nest from the employerSee the documentation for further details. Multi-stage stratified random sample Compilation/Synthesis

Mechanisms for integrating public and private peatland payments for ecosystem services, based on focus group discussions.