This dataset contains over 41,000 posts from the sextortion reporting board of scamsurvivors.com, as collected on the 14th of July, 2023. The data was collected and is shared with the approval of the Scam Survivors administrator. Of these posts, 23,705 were automatically identified as following a common structured report format, and the reported answers to specific questions were extracted into a tabular CSV format, which was then further processed to clean and standardise responses. The data does not contain identifiable or demographic victim information, as the reports are anonymous at source, but does include details of sextortion offenders' (purported) names and ages, as well as their online presence, meeting locations, conversation platforms, interaction dynamics, payment demands and some victim reflection on incidents. This dataset has been created as part of the REPHRAIN project (https://www.rephrain.ac.uk/).

This dataset provides information about the number of properties, residents, and average property values for Survivor Court cross streets in Round O, SC.

Historical price and volatility data for Last Survivor in Taiwan New Dollar across different time periods.

description: This data set provides annual volumes for language preferences at the national level of individuals filing claims for ESRD Medicare benefits from federal fiscal year 2011 - 2015. It consist data of Retirement and Survivor Claimants.; abstract: This data set provides annual volumes for language preferences at the national level of individuals filing claims for ESRD Medicare benefits from federal fiscal year 2011 - 2015. It consist data of Retirement and Survivor Claimants.

The dataset for depression, anxiety and post-traumatic growth among COVID-19 survivors six-month after discharge.

This dataset provides monthly data for fiscal years 2016 on at the national level of Social Security Retirement, Survivors, Medicare Insurance applications filed and cleared.

This dataset provides quarterly volumes of the Social Security Retirement & Survivors initial claims at the national level for federal fiscal year 2016 with quarter 4 shown two ways—we base one on a 52-week reporting period and one on a 53-week reporting period.

Historical price and volatility data for Last Survivor in US Dollar across different time periods.

Portugal SB: Volume: Year to Date: Survivor: Survivor's Pension data was reported at 715,441.000 Unit in Jan 2020. This records a decrease from the previous number of 8,521,452.000 Unit for Dec 2019. Portugal SB: Volume: Year to Date: Survivor: Survivor's Pension data is updated monthly, averaging 4,392,221.500 Unit from Mar 2004 (Median) to Jan 2020, with 164 observations. The data reached an all-time high of 8,623,946.000 Unit in Dec 2015 and a record low of 659,431.000 Unit in Jan 2006. Portugal SB: Volume: Year to Date: Survivor: Survivor's Pension data remains active status in CEIC and is reported by Statistics Portugal. The data is categorized under Global Database’s Portugal – Table PT.G042: Social Security Benefits: Volume.

Each zip file contains 36 datasets, which provide the hazard, survivor, and cumulative distribution functions for select time scales for large stocks, mid cap stocks, small stocks, large ETPs, mid cap ETPs, and small ETPs.

Historical price and volatility data for US Dollar in Last Survivor across different time periods.

Explore The Christian survivor : how Roman Christianity defeated its early competitors through data • Key facts: author, publication date, book publisher, book series, book subjects • Real-time news, visualizations and datasets

This report will provide you with information about the activities and efforts made within OSA to further serve the Survivor community.

Portugal SB: Value: Survivor: Survivor's Pension data was reported at 185,837,843,960.000 EUR in Jan 2020. This records a decrease from the previous number of 353,343,136,000.000 EUR for Dec 2019. Portugal SB: Value: Survivor: Survivor's Pension data is updated monthly, averaging 163,300,646,205.000 EUR from Mar 2004 (Median) to Jan 2020, with 164 observations. The data reached an all-time high of 354,384,098,160.000 EUR in Jul 2019 and a record low of 160,000.000 EUR in Mar 2006. Portugal SB: Value: Survivor: Survivor's Pension data remains active status in CEIC and is reported by Statistics Portugal. The data is categorized under Global Database’s Portugal – Table PT.G041: Social Security Benefits: Value.

This dataset provides annual volumes for API language preferences at the national level of individuals filing claims for Disability insurance benefits for federal fiscal year 2016 shown two ways—we base one on a 52-week reporting period and one on a 53-week reporting period.

Graph and download economic data for Federal Old-Age and Survivors Insurance and Disability Insurance Program; Household Social Contribution Supplements, Transactions (BOGZ1FU356403063A) from 1946 to 2023 about old-age, survivors, social, supplements, program, disability, contributions, transactions, insurance, federal, households, and USA.

This data set provides quarterly volumes for spoken language preferences at the national level of individuals filing claims for Retirement and Survivor Insurance (RSI) benefits for fiscal years (FY) 2023 on.

Civil Service Retirement System/Federal Employees Retirement System (CSRS/FERS) Number of Survivor Annuitants on the Retirement Roll Distribution by Type of Retirement Plan

This dataset provides annual volume of the Social Security Disability initial claims at the national level from federal fiscal year 2016 shown two ways—we base one on a 52-week reporting period and one on a 53-week reporting period.

Protein-Protein, Genetic, and Chemical Interactions for Hu Y (2013):Telomerase-null survivor screening identifies novel telomere recombination regulators. curated by BioGRID (https://thebiogrid.org); ABSTRACT: Telomeres are protein-DNA structures found at the ends of linear chromosomes and are crucial for genome integrity. Telomeric DNA length is primarily maintained by the enzyme telomerase. Cells lacking telomerase will undergo senescence when telomeres become critically short. In Saccharomyces cerevisiae, a very small percentage of cells lacking telomerase can remain viable by lengthening telomeres via two distinct homologous recombination pathways. These "survivor" cells are classified as either Type I or Type II, with each class of survivor possessing distinct telomeric DNA structures and genetic requirements. To elucidate the regulatory pathways contributing to survivor generation, we knocked out the telomerase RNA gene TLC1 in 280 telomere-length-maintenance (TLM) gene mutants and examined telomere structures in post-senescent survivors. We uncovered new functional roles for 10 genes that affect the emerging ratio of Type I versus Type II survivors and 22 genes that are required for Type II survivor generation. We further verified that Pif1 helicase was required for Type I recombination and that the INO80 chromatin remodeling complex greatly affected the emerging frequency of Type I survivors. Finally, we found the Rad6-mediated ubiquitination pathway and the KEOPS complex were required for Type II recombination. Our data provide an independent line of evidence supporting the idea that these genes play important roles in telomere dynamics.