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Overuse Index reported by state
No full textWe examined overuse among Medicare beneficiaries at the state level by generating the Overuse Index, for each U.S. state and the District of Columbia. We previously created an Overuse Index that uses billing codes for diverse clinical services that act as indicators to reflect the latent tendency of a region to overuse health care resources relative to other regions. We newly operationalized our approach to first measure overuse among Medicare beneficiaries within hospitals and their associated outpatient clinics, before we apply the model to generate the Overuse Index at the levels of interest (health systems, regions, or states.) We accessed 100% of the inpatient and outpatient claims, and the Master Beneficiary Summary files of Medicare beneficiaries from July 2015 through December 2018 through the Center for Medicare and Medicaid Services’ (CMS) Virtual Research Data Center (VRDC). Seventeen indicator procedures contributed to the Overuse Index. This set included five new indicators compared to our earlier work. We ran a model across the 17 indicators with fixed effects for states, indictors, and year-quarter; hospital-level random effects, and hospital-level patient characteristics. The fixed effects for the states are the Overuse Index for that state, and represent the tendency for state-wide overuse of healthcare relative to the average state. This was then normalized so the average is 0 with a S.D. of 1
Data associated with the publication: Coadded Spectroscopic Stellar Parameters and Abundances from the LAMOST Low Resolution Survey
No full textI combine duplicate spectroscopic stellar parameter estimates in the LAMOST Data Release 6 Low Resolution Spectral Survey A, F, G, and K Type stellar parameter catalog. The process of combining multiple sets of spectroscopic stellar parameter estimates typically reduces the uncertainty on the estimates by a factor of two. Moreover, this trivializes the process of performing coordinate-based cross-matching with other catalogs. Similarly, I combine duplicate stellar abundance estimates for the Xiang et al. (2019) catalog which was produced using LAMOST Data Release 5 Low Resolution Spectral Survey data. These data have numerous applications in stellar, galactic, and exoplanet astronomy
Data associated with the publication: Suppression of ionic doping by molecular dopants in conjugated polymers for improving specificity and sensitivity in biosensing applications
No full textThe original data for the publication. The data consists of spreadsheets showing the electronic characterizations of all the compositions, including different polymers and dopant levels, at different pH. The highest level of folders is labelled according to the type of device used. Then, subfolders are associated with different compositions or experimental conditions. The spreadsheets themselves contain raw electrical data for each combination. The spreadsheets are the sources of data used to construct the plots that report the observations and trends in the manuscript.
Article abstract: Ionic doping effects in conjugated polymers often cause nonspecific signaling and a low selectivity of bioelectronic sensing. Using remote-gate field-effect transistor characterization of molecular and ionic doping in poly(3-hexylthiophene) (P3HT) and acid-functionalized polythiophene, poly[3-(3-carboxypropyl) thiophene-2,5-diyl] (PT-COOH), we discovered that proton doping effects on the interfacial potential occurring in P3HT could be suppressed by sequentially doping P3HT by 2,3,5,6-tetrafluoro-7,7,8,8-tetracyanoquinodimethane (F4TCNQ). To be specific, intrinsic pH sensitivity shown by pure P3HT (18 mV/pH in a range from pH 3 to 9) was fully dissipated for doped P3HT:F4TCNQ. However, F4TCNQ sequential doping instead increases pH sensitivity of acid-functionalized polythiophene, PT-COOH (40 mV/pH), compared to that of a pure PT-COOH (30 mV/pH). Interactions between polythiophene backbone and side chains, which constrain the activity of COOH, are weakened by stronger F4TCNQ doping leaving behind responsive COOH groups exposed to aqueous solutions. This is supported by the reduced pH sensitivity of PT-COOH sequentially doped by a weaker dopant, tetracyanoethylene (TCNE) (21 mV/pH). Thus, doping is shown to stabilize a nonpolar conjugated polymer to pH-induced fluctuations on one hand, and to activate a COOH side chain to pH-induced response on the other
Data associated with publication: Enhanced and unconventional responses in chemiresistive sensing devices for nitrogen dioxide and ammonia from carboxylated alkylthiophene polymers
No full textThe data consists of all raw and processed data pertaining to this publication. Data (Part 1) consists of compilation of semiconductor characteristics of polymers without gas exposure and with gas exposure (concentration range of ammonia and nitrogen dioxide). In addition, raw data for remote gate sensing are included. In Data (Part 2), 4 point conductivity measurements, GPC, XPS, and processed data compilations and figures are included.
From the article abstract: A carboxylated thiophene polymer-based chemiresistive device in a field-effect transistor (FET) configuration with unusual and enhanced responses to the widespread pollutants nitrogen dioxide (NO2) and ammonia (NH3) is described. The device based on a polymeric thiophene carboxylic acid showed a dramatic and superlinear increase in drain current (ID) of over 15000% to a ramped exposure to 10 ppm NO2 over several minutes, while its ethyl ester counterpart had significantly lower response. Devices incorporating either an ester or carboxylic acid displayed comparable and previously unreported increases in (ID from 10 ppm ramped NH3 exposure of 200–300%. Conventional poly(alkylthiophenes) showed the expected current decreases from similar NH3 exposures. Using threshold voltage shifts in silicon transistors coupled to our recently reported remote gate (RG) platform with thiophene polymer coatings, we determined that two differing response mechanisms are associated with the two gas exposures. By calculating the charge density induced in the polymers by NO2 exposure using the silicon transistor voltage shifts, we conclude that proton conduction contributes significantly to the high sensitivity of the carboxylic acid to NO2, in addition to doping that was observed for all four polymers. Furthermore, hydrogen bonding moieties of the carboxylic acid and ester may be able to physisorb NH3 and thus alter the charge distribution, rearrange polymer chains, and/or create a proton transfer network leading to the ID increase that is the opposite of the response obtained from non-carboxylated thiophene polymers
Data associated with the publication: Sex hormones and incident heart failure in men and postmenopausal women: The Atherosclerosis Risk in Communities Study
No full textWe examined the associations of sex hormones (testosterone, dehydroepiandrosterone sulfate [DHEA-S], sex hormone binding globulin [SHBG], and free androgen index [FAI]) with incident HF, HFrEF, and HFpEF among men and post-menopausal women in the Atherosclerosis Risk in Communities (ARIC) study, a large, community-based cohort with long-term follow-up
Data Axle Reference Solutions U.S. Business Location Data
No full textData Axle Reference Solutions, formerly ReferenceUSA, contains two directories--residential and business. Records include over 12 million U.S. businesses and 120 million U.S. residents. Businesses include private, public, and non-profit organizations, regardless of employee size or sales.
This dataset of Data Axle’s business database provides 52 attributes about tens of millions of businesses across the United States for almost every business from the Fortune 500 down to mom-and-pop shops and work-from-home freelancers.
The Data Axle business database is available in its entirety for the years 2017 to 2020. The data can be downloaded in a single commas separated values (.csv) file for each year of interest. This file is approximately 5 GB in size after de-compressing the .zip archive. To load the .csv in memory requires a minimum of 32 GB of RAM.
To access the Data Axle data on low-memory systems, the .csv file for each year as been split into subsets by US Census defined geographic regions, as well as the more granular geographic divisions. The file census-regions-divisions.csv identifies the states and territories that belong to each region (5 regions plus territories) and divisions (9 divisions plus territories)
Data associated with publication: Developing a hydrological monitoring and sub-seasonal to seasonal forecasting system for South and Southeast Asian river basins
No full textThe dataset contains monthly spatial root zone soil moisture (1m) and surface soil moisture (10cm) for South and Southeast Asia. This soil moisture dataset was simulated within Noah-Multiparameterization land surface model within the NASA’s Land Information System. The simulations spatial resolution of this dataset is 5 km. This dataset is provided by three sets of simulations, namely retrospective, hindcast with real initial condition (HindcastRIC), and hindcast with climatological initial conditions (HindcastCIC) simulation. The retrospective simulation is driven by Global Data Assimilation System (GDAS) and Climate Hazards InfraRed Precipitation products (CHIRP and CHIRPS) meteorological forcing fields. The HindcastRIC simulation is driven by downscaled NASA Goddard Earth Observing System Model - sub-seasonal to seasonal (GEOS-S2S) meteorological forecasts with initial condition the same as retrospective simulation (i.e. “real” initial condition). The HindcastCIC simulation is also driven by GDAS and CHIRPS but initialized with climatological hydrological states.
Data associated with the publication: Evaluation of underweight status may improve identification of the highest-risk patients during outpatient evaluation for pulmonary tuberculosis
No full textThis dataset is an anonymized subset of the data collected by the STOMP-TB study (A Comprehensive Snapshot of Tuberculosis Transmission in an Urban Ugandan Community). The included records are from patients who were diagnosed with pulmonary TB through routine care at one of four health facilities in Kampala, Uganda, or control patients who underwent TB evaluation with a negative result at the same facilities. The included variables were used for analysis of underweight status, characteristic TB symptoms, and probability of bacteriologically-confirmed TB in the publication “Evaluation of underweight status may improve identification of the highest-risk patients during outpatient evaluation for pulmonary tuberculosis” by PJ Kitonsa et al. (Plos One, accepted December 2020)
Data associated with publication: Irrigation water demand sensitivity to climate variability across the Contiguous United States
No full textThe datasets include monthly time-varying greenness vegetation fraction and monthly output of simulation performed with the Noah-Multiparameterization Land Surface Model v3.6 within NASA Land Information System. The simulation is conducted for the period of 2002-2017 at 0.125° spatial resolution forced by the North America Land Data Assimilation System-Phase 2 (NLDAS-2) meteorological forcing fields. Data is provided in NETCDF format including monthly time-varying greenness vegetation fraction, irrigation water amount, groundwater storage, and LIS-formatted NLDAS-2 precipitation and 2-m air temperature
Data associated with the publication: Cerebellar patients have intact feedback control that can be leveraged to improve reaching
No full textCerebellar patients have intact feedback control that can be leveraged to improve reaching. Contains data and code written in MATLAB. All of the data was collected from the Kinarm (BKIN Technologies Ltd.). Please download the README document from the Files list for details on content and for viewing and reprocessing the data