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).

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 a source dataset for a Let's Get Healthy California indicator at https://letsgethealthy.ca.gov/. The Adverse Childhood Experiences (ACEs) module of the Behavioral Risk Factors Surveillance System (BRFSS) asks respondents questions about eight different traumatic childhood experiences that occurred before the age of 18. These include verbal/emotional abuse, physical abuse, sexual abuse, and negative household situations including the incarceration of an adult, alcohol or drug abuse by an adult, violence between adults, mental illness of a household member, and parental divorce or separation. A cumulative ACEs score is calculated for each respondent by counting the number of these items that a respondent reported experiencing, creating a score ranging from 0 to 8. 11 questions about adverse childhood experiences (ACEs) are condensed into a ordinal scale from 0 to 8 possible ACEs. This indicator shows the prevalence of adults who reported having 1 or more ACEs. However other data cuts are available, e.g., 3 or more ACEs The ACEs module is a very "lagging" indicator capturing childhood experiences retrospectively by asking adults 18+ years of age. Additional limitations include: 1) relies on self-reported information, 2) provides prevalence, not incidence data, 3) bias or measurement error associated with telephone-administered survey of a sample of the population (e.g., response bias, sampling variation), 4) designed to provide state-level population health estimates and does not provide sub-state estimates or estimates by racial sub-groups (e.g., Asian sub-groups) unless multiple years are combined. Because of the changes in the methodology, researchers are advised to avoid comparing data collected before the changes (up to 2010) with data collected from 2011 and onward: http://www.cdc.gov/brfss/annual_data/2013/pdf/compare_2013.pdf. In addition, due to changes in the insurance variables, the "Other Public" insurance category was not able to be calculated in 2013.

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.

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.

The ACES Indonesia database and models are recorded with the names: 1) Qualitative Tools: Student's Group Discussion (Indonesia); 2) ACES Teacher Survey: Frugal Aspects (Indonesia); 3) ACES Student Survey: Playful Aspects (Indonesia); 4) Capabilities/Motivation Questionnaire Indonesia; 5) Teacher Motivation Questionnaire Indonesia; 6) Teacher Trainee and Policy Makers Survey

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.

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.

Prevalence of health risk factors and chronic disease by ACEs exposure.

the data generated during the analysis. Visit https://dataone.org/datasets/sha256%3A654b56bccd3f86d7f19b79d8cc10065b289ddbbe87665b3e53e136e9a39705e1 for complete metadata about this dataset.

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

Association of ACEs exposure with health outcomes.

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.

The ACES (Aerosol Coupling in the Earth System) project was an integrated research programme that aims to reduce uncertainties in our fundamental understanding of the formation of BSOA (Biogenic Secondary Organic Aerosol) and the subsequent impact on atmospheric composition, through coordinated chamber studies, field studies, process model development, and application of atmospheric models of chemistry and transport to assess coupling and feedbacks in the Earth system.

The dataset contains measurements of concentrations of aerosols between 50nm and 2nm, using a TSI Condesation Particle Counter model 3025A, near ground level below the rainforest canopy at the nursery site. These data were collected from the 9th to 23rd of July 2008 by the University of Manchester condensation particle counter based at the forest in-canopy site located at the FACE (Forests Absorbing CO2 Emissions) nursery at the Sabahmas Estate oil plantation in Malaysia.

The ACES (Aerosol Coupling in the Earth System) project was an integrated research programme that aims to reduce uncertainties in our fundamental understanding of the formation of BSOA (Biogenic Secondary Organic Aerosol) and the subsequent impact on atmospheric composition, through coordinated chamber studies, field studies, process model development, and application of atmospheric models of chemistry and transport to assess coupling and feedbacks in the Earth system.

This dataset contains measurements of concentrations of dust particles of specific sizes at ground level below the rain forest canopy. Data were collected for the period 9-23 July 2008 by the University of Manchester scanning mobility particle sizer (10-1000nm) based at the forest in-canopy site located at the FACE (Forests Absorbing CO2 Emissions) nursery at the Sabahmas Estate oil plantation in Malaysia.

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