These data are part of NACJD's Fast Track Release and are distributed as they were received from the data depositor. The files have been zipped by NACJD for release, but not checked or processed except for the removal of direct identifiers. Users should refer to the accompanying readme file for a brief description of the files available with this collection and consult the investigator(s) if further information is needed. This study sought to apply current and advanced Y-STR DNA technology in forensic laboratories to a large in vivo population of proxy-couples, to provide groundwork for future inquiry about the conditions affecting DNA recovery in the living patient, to determine timing for evidence collection, and to attempt to identify variables influencing DNA recovery. The objective of this research was to create the evidence base supporting or limiting the expansion of the 72-hour period for evidence collection. Another objective was to identify conditions that might influence the recovery of DNA, and therefore influence policies related to sample collection from the complex post-coital environment. The collection includes 6 SPSS data files: AlleleRecovery Jun 2014 Allrec.sav (n=70; 34 variables) AlleleRecovery Jun 2014 Used for descriptve analysis.sav (n=66; 58 variables) Condom_collections-baseline-d9-Jun2014 Allrec without open-ended-ICPSR.sav (n=70; 66 variables) DNADemogFemalesJun2014- without open-ended AllRec-ICPSR.sav (n=73; 67 variables) DNADemogFemalesJun2014- without open-ended -For analysis with group variables-ICPSR.sav (n=66; 73 variables) DNADemogMalesJun2014- without open-ended AllRec-ICPSR.sav (n=73; 46 variables) and 1 SAS data file (dnalong.sas7bdat (n=264; 7 variables)). Data from a focus group of subject matter experts which convened to identify themes from their practice are not included with this collection.

This dataset tracks the updates made on the dataset "Research and Development Survey (RANDS) 3 microdata (norc_3_rdc.sas7bdat). Includes all items released in the public-use file, along with additional geographic and demographic data." as a repository for previous versions of the data and metadata.

(SAS7BDAT)

This dataset tracks the updates made on the dataset "Research and Development Survey (RANDS) 4 microdata (norc_4_rdc.sas7bdat). Includes all items released in the public-use file, along with additional geographic and demographic data." as a repository for previous versions of the data and metadata.

These data are part of NACJD's Fast Track Release and are distributed as they were received from the data depositor. The files have been zipped by NACJD for release, but not checked or processed except for the removal of direct identifiers. Users should refer to the accompanying readme file for a brief description of the files available with this collection and consult the investigator(s) if further information is needed. Teenage adolescent females residing in Baltimore, Maryland who were involved in a relationship with a history of violence were sought after to participate in this research study. Respondents were interviewed and then followed through daily diary entries for several months. The aim of the research was to understand the context regarding teen dating violence (TDV). Prior research on relationship context has not focused on minority populations; therefore, the focus of this project was urban, predominantly African American females. The available data in this collection includes three SAS (.sas7bdat) files and a single SAS formats file that contains variable and value label information for all three data files. The three data files are: final_baseline.sas7bdat (157 cases / 252 variables) final_partnergrid.sas7bdat (156 cases / 76 variables) hart_final_sas7bdata (7004 cases / 23 variables)

This dataset tracks the updates made on the dataset "Research and Development Survey (RANDS) 2 microdata (gallup_2_rdc.sas7bdat). Includes all items released in the public-use file, along with additional geographic and demographic data." as a repository for previous versions of the data and metadata.

Neonatal mortality accounts for nearly half of under-5 mortality in Ghana. The aim of this study was to identify the predictors of neonatal mortality in the Eastern Regional Hospital, Ghana. This was a retrospective cohort study conducted using secondary data from electronic medical records from the Eastern Regional Hospital between 1st January 2022 and 31st December 2022. The Kaplan-Meier estimator and adjusted Cox regression model were used to estimate survival probability and to assess the predictors of neonatal mortality. Data on 1684 neonates were analyzed and we found that 11.82% deaths occurred with a neonatal mortality rate (NMR) of 13.98 (95% CI: 12.05, 15.91) per 1000 person-days. Most neonatal deaths occurred within the first 24hrs of life (9.9%). The predictors of neonatal mortality were found to be low birthweight [Adjusted hazard rate (aHR): 1.63, 95% CI: 1.04, 2.54], hypothermia (aHR: 1.82, 95% CI: 1.16, 2.85), hyperthermia (aHR: 1.85, 95% CI: 1.01, 3.39), birth asphyxia (aHR: 3.69, 95% CI: 1.68, 8.11), and multiparty (aHR: 1.66, 95% CI: 1.02, 2.70). However, neonates aged 8–28 days (aHR: 0.41, 95% CI: 0.21, 0.81), born in the Eastern Regional Hospital (aHR: 0.39, 95% CI: 0.28, 0.55), walk-in neonates (aHR: 0.54, 95% CI: 0.32, 0.90), and neonates whose mothers had 8 or more antenatal contacts (aHR: 0.54, 95% CI: 0.32, 0.92) had lower neonatal mortality. There was high NMR in the Eastern Regional Hospital in Ghana. Averting complications such as low birthweight, hypothermia, hyperthermia, birth asphyxia, including the provision of obstetric and early neonatal care within the first 24 hours of life is critical to reducing neonatal mortality. Adherence to the World Health Organization’s recommendation of 8 or more antenatal contacts among pregnant women is also essential in reducing neonatal mortality.

Sabotaging milkweed by monarch caterpillars (Danaus plexippus) is a famous textbook example of disarming plant defence. By severing leaf veins, monarchs are thought to prevent the flow of toxic latex to their feeding site. Here, we show that sabotaging by monarch caterpillars is not only an avoidance strategy. While young caterpillars appear to avoid latex, late-instar caterpillars actively ingest exuding latex, presumably to increase sequestration of cardenolides used for defence against predators. Comparisons with caterpillars of the related but non-sequestering common crow butterfly (Euploea core) revealed three lines of evidence supporting our hypothesis. First, monarch caterpillars sabotage inconsistently and therefore the behaviour is not obligatory to feed on milkweed, whereas sabotaging precedes each feeding event in Euploea caterpillars. Second, monarch caterpillars shift their behaviour from latex avoidance in younger to eager drinking in later stages, whereas Euploea caterpil..., , , Readme for the statistical documentation for the publication: Monarchs sabotage milkweed to acquire toxins, not to disarm plant defense Authors: Anja Betz, Robert Bischoff, Georg Petschenka

For the statistical documentation, we provide the following files: This readme gives a brief outline of the different files and data provided in the statistical documentation Subfolders for each experiment containing

• Excel files with just the data, SAS code files for analysis of each dataset with comments SAS dataset files (sas7bdat) a data dictionary.txt that defines all variables of all datasets

Disclaimer: Excel automatically formats numbers. We do not take any responsibility for automatic formatting of the numbers by Excel. This might lead to different results, if the Excel files are used for analysis. The sas7bdat files, or data at the start of the individual sas-analysis files should be resistant to automatic formatting, so we suggest using them for analysis.

The datasets co...

This dataset tracks the updates made on the dataset "Research and Development Survey (RANDS) 1 microdata (gallup_1_rdc.sas7bdat). Includes all items released in the public-use file, along with additional geographic and demographic data." as a repository for previous versions of the data and metadata.

These data are part of NACJD's Fast Track Release and are distributed as they were received from the data depositor. The files have been zipped by NACJD for release, but not checked or processed except for the removal of direct identifiers. Users should refer to the accompanying readme file for a brief description of the files available with this collection and consult the investigator(s) if further information is needed. This study sought to: (1) document the spectrum of injuries and injury characteristics observed among physically-abused older adults reported to Adult Protective Services (APS) and compare those findings to injuries found among non-abused older adults, (2) identify observable injury characteristics and abuse circumstances that healthcare providers, law enforcement and prosecutors consider to be key forensic markers of physical abuse, (3) document information and evidence integral for achieving successful criminal prosecution, and (4) describe approaches that community-based frontline workers can employ to better document evidence of physical abuse. The data included in this collection were collected under a National Institute of Justice-funded project that sought to document the spectrum and characteristics of injuries observed among physically abused, community-dwelling APS clients. The collection includes two SAS datasets: injury.sas7bdat (with 47 variables and 403 cases) and subjectleveldata.sas7bdat (with 122 variables and 165 cases); and three SAS System Program Files: analysis-code-v1.sas, cleaned-injury-datasets-v1.sas, and formats.sas. Demographic variables in the collection are in the subjectleveldata.sas7bdat dataset, and include age, year of birth, gender, race, language, and level of education.

This dataset tracks the updates made on the dataset "Research and Development Survey (RANDS) during COVID-19 Round 2 microdata (covid_2_rdc.sas7bdat). Includes all items released in the public-use file, along with additional geographic and demographic data." as a repository for previous versions of the data and metadata.

SAS raw data file.case_type=1, who have disease COPD.hasOF=1, who develop to Osteoporotic fracture.

These data are part of NACJD's Fast Track Release and are distributed as they were received from the data depositor. The files have been zipped by NACJD for release, but not checked or processed except for the removal of direct identifiers. Users should refer to the accompanying readme file for a brief description of the files available with this collection and consult the investigator(s) if further information in needed. This study conducts an environmental scan of current Family Justice Centers (FJCs) across the United States as part of a multi-phase effort to develop a formal evaluation plan to measure the effectiveness of FJCs and similar multi-agency co-located collaboratives. The collection contains 1 SAS data file (fjc_analysis_nacjd_20180226.sas7bdat (n=52; 813 variables)) and 1 syntax file.

This dataset tracks the updates made on the dataset "Research and Development Survey (RANDS) during COVID-19 Round 1 microdata (covid_1_rdc.sas7bdat). Includes all items released in the public-use file, along with additional geographic and demographic data." as a repository for previous versions of the data and metadata.

Sample dataset 2. The dataset dataIV.sas7bdat was taken from [1].

description: Dig into FY 2010 data on public library systems (referred to as administrative entities in the Public Libraries Survey) and main libraries, branches, and bookmobiles (outlets in PLS). Use the administrative entity data to explore system-level organizational characteristics, staff, income and expenditures, sizes of collections, and library services offered to the public. Use the outlet-level data to find organizational characteristics such as public service hours and weeks open per year. Downloadable data files for the FY 2010 data collection are provided in comma separated value (.csv) and SAS (.sas7bdat) formats.; abstract: Dig into FY 2010 data on public library systems (referred to as administrative entities in the Public Libraries Survey) and main libraries, branches, and bookmobiles (outlets in PLS). Use the administrative entity data to explore system-level organizational characteristics, staff, income and expenditures, sizes of collections, and library services offered to the public. Use the outlet-level data to find organizational characteristics such as public service hours and weeks open per year. Downloadable data files for the FY 2010 data collection are provided in comma separated value (.csv) and SAS (.sas7bdat) formats.

Data are provided in a SAS data set file. (SAS7BDAT)

(SAS7BDAT)