Find information on Positive Childhood Experiences (PCEs) and Adverse Childhood Experiences (ACEs) survey data of Massachusetts residents.

The ALTUS Cloud Electrification Study (ACES) was based at the Naval Air Facility Key West in Florida. During August or 2002, ACES researchers overflights of thunderstorms over the southwestern corner of Florida. For the first time in NASA research, an uninhabited aerial vehicle (UAV) named ALTUS was used to collect cloud electrification data. Carrying field mills, optical sensors, electric field sensors and other instruments, ALTUS allowed scientists to collect cloud electrification data for the first time from above the storm, from its birth through dissipation. This experiment allowed scientists to achieve the dual goals of gathering weather data safely and testing new aircraft technology. This dataset consists of timing data used for the experiment. When used it provides: syncclock_time = time found at the syncclock (VSI-SYnCCLOCK-32) in seconds from first file name, syncclock_m_time = time found at the syncclock (VSI-SYnCCLOCK-32) in Matlab dateform format, system_time = system time in seconds from first file name, system_m_time = system time in dateform format, gps_time = time found at the GPS unit in seconds from first file name, gps_m_time = time found at GPS unit in dateform, cmos_time = time found at the computer CMOS in seconds from first file name, cmos_m_time = time found at the computer CMOS in dateform.

The ACES Aircraft and Mechanical Data consist of aircraft (e.g. pitch, roll, yaw) and mechanical (e.g. aircraft engine speed, tail commands, fuel levels) data recorded by the Altus II Unmanned Aerial Vehicle (Altus II UAV) system during the Altus Cumulus Electrification Study (ACES) based at the Naval Air Facility Key West in Florida. ACES aimed to provide extensive observations of the cloud electrification process and its effects by using the Altus II UAV to collect cloud top observations of thunderstorms. The campaign also worked to validate satellite lightning measurements. The Altus II aircraft and mechanical data files are available from July 10 through August 30, 2002 in MATLAB data format (.mat).

Database for study examining recent stressful life events and perceived stress as serial mediators of the relationship between adverse childhood experiences and insomnia severity in college students

The objectives of these Arctic nearshore fish surveys is to measure seasonal changes in the distribution, demographics, trophic position and nutritional status of forage fish during the partial and complete ice-free season near Pt. Barrow, along the nearshore Chukchi and Beaufort Seas including Elson Lagoon, Alaska. These data will be related to biological and physical conditions observed near the Chukchi and Beaufort coasts and Elson Lagoon. Arctic Cod (Boreogadus saida), Saffron Cod (Eleginus gracilis), Capelin (Mallotus villosus), Sand Lance (Ammodytes hexapterus), Coregonids and sculpins will serve as the primary forage species targeted in the proposed work. The physical features to be measured include salinity, temperature, current direction and speed, wind direction and speed and bathymetry, but most importantly we seek a better understanding of how weather (wind) would affect the transport through the multi-inlet Elson Lagoon and its relation to coastal currents. Biological features include the community composition, abundance, distribution and quality of zooplankton prey available to forage fish. The catch data in this database include sampling efforts from 3 complimentary studies using similar gear in similar areas: ACES (Arctic Coastal Ecosystem Survey) and SHELFZ (Shelf Habitat and EcoLogy of Fish and Zooplankton), Ecology of Forage Fishes in the Arctic Nearshore. Data will be comparable to NOAAs previous efforts in the nearshore near Pt. Barrow (e.g. Thedinga et al. 2013). Combining these historical data with the proposed work will lead to an improved understanding of the relationship between forage fish and their nearshore habitats during the partial and complete ice-free period. The information developed by this proposed project is needed by those engaged in predicting impacts of climate change, developing oil and gas resources, managing foraging habitat of marine mammals, and planning for increased marine transportation.

ObjectiveTo examine whether the relationship between Adverse Childhood Experiences (ACEs) and health outcomes is similar across states and persists net of ACEs associations with smoking, heavy drinking, and obesity.MethodsWe use data from the Behavioral Risk Factor Surveillance System for 14 states. Logistic regressions yield estimates of the direct associations of ACEs exposure with health outcomes net of health risk factors, and indirect ACEs-health associations via health risk factors. Models were estimated for California (N = 22,475) and pooled data from 13 states (N = 110,076), and also separately by state.ResultsExposure to ACEs is associated with significantly higher odds of smoking, heavy drinking, and obesity. Net of these health risk factors, there was a significant and graded relationship in California and the pooled 13-state data between greater ACEs exposure and odds of depression, asthma, COPD, arthritis, and cardiovascular disease. Four or more ACEs were less consistently associated across states with cancer and diabetes and a dose-response relationship was also not present. There was a wide range across individual states in the percentage change in health outcomes predicted for exposure to 4+ ACEs. ACEs-related smoking, heavy drinking, and obesity explain a large and significant proportion of 4+ ACEs associations with COPD and cardiovascular disease, however some effect, absent of risk behavior, remained.ConclusionsACE’s associations with most of the health conditions persist independent of behavioral pathways but only asthma, arthritis, COPD, cardiovascular disease, and depression consistently exhibit a dose-response relationship. Our results suggest that attention to child maltreatment and household dysfunction, mental health treatment, substance abuse prevention and promotion of physical activity and healthy weight outcomes might mitigate some adverse health consequences of ACEs. Differences across states in the pattern of ACEs-health associations may also indicate fruitful areas for prevention.

17 Global import shipment records of Aces Buffer with prices, volume & current Buyer's suppliers relationships based on actual Global export trade database.

Dataset Card for ACES and Span-ACES

  Dataset Summary

ACES consists of 36,476 examples covering 146 language pairs and representing challenges from 68 phenomena for evaluating machine translation metrics. We focus on translation accuracy errors and base the phenomena covered in our challenge set on the Multidimensional Quality Metrics (MQM) ontology. The phenomena range from simple perturbations at the word/character level to more complex errors based on discourse and… See the full description on the dataset page: https://huggingface.co/datasets/nikitam/ACES.

130 Global export shipment records of Aces Marketing with prices, volume & current Buyer's suppliers relationships based on actual Global export trade database.

3808 Global exporters importers export import shipment records of Aces marketing with prices, volume & current Buyer's suppliers relationships based on actual Global export trade database.

Association of ACEs exposure with health outcomes.

Sample characteristics by ACEs exposure (2009–2012 BRFSS).

Comprehensive dataset containing 52 verified ACES ABA - Autism Therapy Center locations in United States with complete contact information, ratings, reviews, and location data.

616 Global import shipment records of Aces,buffer with prices, volume & current Buyer's suppliers relationships based on actual Global export trade database.

This dataset tracks the updates made on the dataset "ACEs Aware Clinician Listing" as a repository for previous versions of the data and metadata.

This is the ACEs Aware Clinician Directory App based on the ACEs Aware Clinician Directory. Use this app to find a subset of Medi-Cal providers who have attested to completing the certified Becoming ACEs Aware in California training, and are eligible to receive Medi-Cal payment for providing qualified ACE screenings. Clinicians listed have also chosen to opt-in to the ACEs Aware Clinician Directory. Listing in the directory data is voluntary.

This is an excel file containing raw data collected from a study examining adverse childhood experiences and childhood socioeconomic status with measure of mental health in young adults.

Adverse childhood experiences (ACEs) contribute to numerous negative health outcomes across the life course and across generations. Here, we extend prior work by examining the association of maternal ACEs, and their interaction with financial stress and discrimination, with methylation status within eight differentially methylated regions (DMRs) in imprinted domains in newborns. ACEs, financial stress during pregnancy, and experience of discrimination were self-reported among 232 pregnant women. DNA methylation was assessed at PEG10/SGCE, NNAT, IGF2, H19, PLAGL1, PEG3, MEG3-IG, and DLK1/MEG3 regulatory sequences using pyrosequencing. Using multivariable linear regression models, we found evidence to suggest that financial stress was associated with hypermethylation of MEG3-IG in non-Hispanic White newborns; discrimination was associated with hypermethylation of IGF2 and NNAT in Hispanic newborns, and with hypomethylation of PEG3 in non-Hispanic Black newborns. We also found evidence that maternal ACEs interacted with discrimination to predict offspring PLAGL1 altered DMR methylation, in addition to interactions between maternal ACEs score and discrimination predicting H19 and SGCE/PEG10 altered methylation in non-Hispanic White newborns. However, these interactions were not statistically significant after multiple testing corrections. Findings from this study suggest that maternal ACEs, discrimination, and financial stress are associated with newborn aberrant methylation in imprinted gene regions.

This dataset includes data collected as part of the Abrupt Changes in Ecosystem Services (ACES) project on the composition, income (including consumption and sale of environmental resources), ownership of assets (e.g. farming equipment, household furnishings and own transport) and wellbeing of respondent households in rural Mozambique. Data are also included from a participatory wealth ranking exercise carried out in each village. Data were collected in a total of 27 villages: 7 villages in Mabalane District in Gaza Province, 10 villages in Gurué District in Zambezia Province and 10 villages in Marrupa District in Niassa Province. Data collection was carried out in 2014 and 2015, using a one-off environmentally-augmented household income and assets survey administered by enumerators in the locally appropriate language. The objective of the ACES project was to explore interactions between woodland change, ecosystem services and wellbeing in rural Mozambican households. The study used a space-for-time substitution approach, with villages in each district chosen to represent different points on gradients of land use intensity with respect to the dominant land use types in each district (charcoal production in Mabalane, commercial agriculture in Gurué and subsistence agriculture in Marrupa). Data were collected primarily by researchers based in the School of Geosciences at the University of Edinburgh and at the University of Eduardo Mondlane in Mozambique. All the data collected using the household survey are included in this dataset barring those data which would compromise the anonymity of respondents, such as the names and household coordinates of those interviewed. Full details about this dataset can be found at https://doi.org/10.5285/6d94d084-6c9d-4f81-8a3f-0b82de827858