"The NICHD Data and Specimen Hub (DASH) is a centralized resource that allows researchers to share and access de-identified data from studies funded by NICHD. DASH also serves as a portal for requesting biospecimens from selected DASH studies.". This dataset is associated with the following publication: Deluca, N., K. Thomas, A. Mullikin, R. Slover, L. Stanek, D. Pilant, and E. Hubal. Geographic and demographic variability in serum PFAS concentrations for pregnant women in the United States. Journal of Exposure Science and Environmental Epidemiology. Nature Publishing Group, London, UK, 33(1): 710-724, (2023).

Repository to store and access de-identified data from NICHD funded research studies for purposes of secondary research use. It serves as mechanism for NICHD-funded extramural and intramural investigators to share research data from studies in accordance with NIH Data Sharing Policy and NIH Genomic Data Sharing Policy.

Title: cohort name is masked Species: Homo sapiens Number of samples: 1448 Number of named analytes: 14 Datasource url: https://dash.nichd.nih.gov/study/424647

Metadata supporting Wallis et al. 2024 in Environment International. This dataset is not publicly accessible because: EPA cannot release personally identifiable information regarding living individuals, according to the Privacy Act and the Freedom of Information Act (FOIA). This dataset contains information about human research subjects. Because there is potential to identify individual participants and disclose personal information, either alone or in combination with other datasets, individual level data are not appropriate to post for public access. Restricted access may be granted to authorized persons by contacting the party listed. It can be accessed through the following means: Data from the National Children's Study must be accessed through the National Institutes of Health, National Institute of Child Health and Human Development's Data and Specimen Hub (DASH) at https://dash.nichd.nih.gov/. Format: Participant demographic, lifestyle, residence, occupational, and other types of data from questionnaire and observational survey instruments are in .csv and .xlsx files. PFAS measurements in serum and house dust in .csv files. This dataset is associated with the following publication: Wallis, D., K. Miller, N. Deluca, K. Thomas, C. Fuller, J. McCord, E. Cohen-Hubal, and J. Minucci. Understanding prenatal household exposures to per- and polyfluorylalkyl substances using paired Biological and dust measurements with sociodemographic and housing variables. ENVIRONMENT INTERNATIONAL. Elsevier B.V., Amsterdam, NETHERLANDS, 194(December): 109157, (2024).

Title: cohort name is masked
Species: Homo sapiens
Number of samples: 538
Number of named analytes: 173
Datasource url: https://dash.nichd.nih.gov/study/424672

Title: cohort name is masked
Species: Homo sapiens
Number of samples: 112
Number of named analytes: 12
Datasource url: https://dash.nichd.nih.gov/study/424675

Objective: To investigate whether dietary patterns (Mediterranean diet (MedDiet), Dietary Approaches to Stop Hypertension (DASH) and A Priori Diet Quality Score (APDQS)) during adulthood are associated with better midlife cognitive performance. Methods: We studied 2,621 CARDIA participants: 45% black, 57% female, and age 25±3.5 years at baseline (1985-6). Diet scores were calculated from repeated diet history up to year 20. Linear models were used to examine association between tertiles of diet score and year 25 to 30 change in standardized test scores for verbal learning (RAVLT), processing speed (Digit Symbol Substitution Test (DSST)) and executive function (Stroop Interference), and Montreal Cognitive Assessment (MoCA) at year 30. Results: Higher scores in all three diets were associated with less decline in verbal memory (all P<0.01). Higher DASH and APDQS scores were associated with less decline on DSST (DASH: low= -0.05, mid= -0.00, high= 0.06; APDQS: low= -0.07, mid= -0.01, high= 0.07, both PTrend=0.02). Higher MedDiet and APDQS scores were associated with less decline on Stroop interference (MedDiet: low=0.10, mid=-0.06, high=-0.03 and APDQS: low=0.11, mid=0.01, high=-0.10, both PTrend<0.01). Odds ratios (95% confidence interval) for poor global cognitive function (≥1 SD below mean MoCA) comparing extreme tertiles of the three dietary scores were 0.45 (0.33-0.62) for MedDiet, 0.38 (0.26-0.54) for APDQS and 0.88 (0.68-1.15) for DASH. Conclusions: Greater adherence to heart-healthy dietary patterns during adulthood was associated with better midlife cognitive performance. Additional studies are needed to define the combination of foods and nutrients for optimal brain health across the life-course.

Title: cohort name is masked
Species: Homo sapiens
Number of samples: 256
Number of named analytes: 156
Datasource url: https://dash.nichd.nih.gov/study/424668

We present a Multi-Profile Ultra High Definition (¥emph{UHD}) DASH dataset composed of both AVC (H.264) and HEVC (H.265) video content, generated from three well known open-source 4K video clips. The representation rates and resolutions of our dataset range from 40Mbps in 4K down to 235kbps in 320x240, and are comparable to rates utilised by on demand services such as Netflix, Youtube and Amazon Prime. We provide our dataset for both real-time testbed evaluation and trace-based simulation. The real-time testbed content provides a means of evaluating DASH adaptation techniques on physical hardware, while our trace-based content offers simulation over frameworks such as ns-2 and ns-3. We also provide the original pre-DASH MP4 files and our associated DASH generation scripts, so as to provide researchers with a mechanism to create their own DASH profile content locally. Which improves the reproducibility of results and remove re-buffering issues caused by delay/jitter/losses in the Internet.

The primary goal of our dataset is to provide the wide range of video content required for validating DASH Quality of Experience (QoE) delivery over networks, ranging from constrained cellular and satellite systems to future high speed architectures such as the proposed 5G mmwave technology.

Child language component of TalkBank system. TalkBank is system for sharing and studying conversational interactions. Includes software developed for speech recognition and analysis as well as behavior recognition. Database contains transcript and media data collected from conversations between young children and their playmates and caretakers. Conversations with older children and adults are available from TalkBank. All data are transcribed in CHAT and CA/CHAT formats.

MONROE-MMSys2018 video dataset prepared in conjunction with a submission to the MMSys 2018 Open Dataset and Software track.