AndreaBozzo/ceres-open-data-index huggingface dataset:
Patent AT-E400179-T1: [Translated] USE OF PYRIMIDINETRION DERIVATIVES AS ACETYLCHOLINESTERASE INHIBITORS, COMPOSITIONS CONTAINING SAME AND USES THEREOF

Pyrimidine derivatives (I) are used as acetylcholinesterase inhibitors. Pyrimidine derivatives of formula (I) are used as acetylcholinesterase inhibitors. R 1, R 3 = H or optionally unsaturated 1-6C (cyclo)alkyl (optionally substituted by OH or halo); R 2 = aryl group (optionally substituted) or 1-4C optionally unsaturated (cyclo)alkyl (optionally substituted by halo, OH or heterocycle containing 1-5C and 1-5 heteroatoms selected from O, S or N); X 1 = S, N or O; X 3-X 5 = C or N, provided that no more than two are N; and Y 1 = O or S. Independent claims are also included for: (1) an insecticidal composition (II) comprising (I) together with a support to use (II) as an insecticide; and (2) an insecticidal kit comprising (II) associated with a diffusion means allowing the application of (II) on agricultural, dwelling, forest, marshy, steppe and/or savanna zones. [Image] ACTIVITY : Insecticide; Neuroprotective; Nootropic. MECHANISM OF ACTION : Acetylcholinesterase inhibitor. The ability of (I) to inhibit acetylcholinesterase was tested. The results showed that 5-[(5-methyl-2-furyl)methylene]-1-phenyl-2,4,6(1H,3H,5H)-pyrimidinetrione exhibited IC 50 value of 1.57 mu M and 0.65 mu M against mutated and normal acetylcholinesterases respectively.
Mobilization of seed storage lipid by Arabidopsis seedlings is retarded in the presence of exogenous sugars

Background
          Soluble sugar levels must be closely regulated in germinating seeds to ensure an adequate supply of energy and building materials for the developing seedling. Studies on germinating cereal seeds indicate that production of sugars from starch is inhibited by increasing sugar levels. Although numerous studies have focused on the regulation of starch metabolism, very few studies have addressed the control of storage lipid metabolism by germinating oilseeds.
        
        
          Results
          Mobilization of storage lipid by germinating seeds of the model oilseed plant Arabidopsis thaliana (L.) Heynh. occurs at a greatly reduced rate in the presence of exogenous glucose or mannose, but not in the presence of equi-molar 3-O-methylglucose or sorbitol. The sugar-insensitive5-1/abscisic acid-insensitive4-101 (sis5-1/abi4-101) mutant is resistant to glucose inhibition of seed storage lipid mobilization. Wild-type seedlings become insensitive to glucose inhibition of storage lipid breakdown within 3 days of the start of imbibition.
        
        
          Conclusions
          Growth in the presence of exogenous glucose significantly retards mobilization of seed storage lipid in germinating seeds from wild-type Arabidopsis. This effect is not solely due to the osmotic potential of the media, as substantially higher concentrations of sorbitol than of glucose are required to exert significant effects on lipid breakdown. The inhibitory effect of glucose on lipid breakdown is limited to a narrow developmental window, suggesting that completion of some critical metabolic transition results in loss of sensitivity to the inhibitory effect of glucose on lipid breakdown.
Managed Care Individual Provider Network Data: September 30, 2016

The primary purpose for the Provider Network Data System is to collect data needed to evaluate the provider networks including physicians, hospitals, labs, home health agencies, durable medical equipment providers, etc., for all types of Managed Care plans in New York State, including HIV Special Need Plans (SNP), Family Health Plus (FHP) Buy-In, Programs of All-Inclusive Care for the Elderly (PACE), and Non-PACE Managed Long-Term Care (MLTC) plans. This dataset reflects individual provider data. Provider Network Data System information is self-reported. For more information, check out http://www.health.ny.gov/health_care/managed_care/.
NSDUH 2021 Statistical Inference Report

Learn how to produce basic estimates with the 2021 National Survey on Drug Use and Health (NSDUH). The report describes the techniques that were used to make the 2021 NSDUH Detailed Tables and the 2021 NSDUH Annual National Report, but users may also find these techniques useful for their own research with NSDUH. The report describes the calculation of estimates and sampling errors, degrees of freedom, and the procedures for determining when low-precision estimates should be suppressed. It also includes sample code in several statistical languages that data users can modify to use in their own research.Chapters:Introduction to the report.Background on the survey design, including redesign and questionnaire changes.Prevalence estimates and how they were calculated, including specifics on various topics presented in the detailed tables.Discussion of how missing item responses of variables that are not imputed may lead to biased estimates.Discussion of sampling errors and how they were calculated.Description of degrees of freedom and how they were used to compare estimates.Discussion of how the statistical significance of differences between estimates was determined.Discussion of confidence interval estimation.Discussion of when estimates with low precision were suppressed.Appendix A contains code samples for various statistical procedures documented within the report.
A quantitative PCR (TaqMan) assay for pathogenic

Background
          Leptospirosis is an emerging infectious disease. The differential diagnosis of leptospirosis is difficult due to the varied and often "flu like" symptoms which may result in a missed or delayed diagnosis. There are over 230 known serovars in the genus Leptospira. Confirmatory serological diagnosis of leptospirosis is usually made using the microscopic agglutination test (MAT) which relies on the use of live cultures as the source of antigen, often performed using a panel of antigens representative of local serovars. Other techniques, such as the enzyme linked immunosorbent assay (ELISA) and slide agglutination test (SAT), can detect different classes of antibody but may be subject to false positive reactions and require confirmation of these results by the MAT.
        
        
          Methods
          The polymerase chain reaction (PCR) has been used to detect a large number of microorganisms, including those of clinical significance. The sensitivity of PCR often precludes the need for isolation and culture, thus making it ideal for the rapid detection of organisms involved in acute infections. We employed real-time (quantitative) PCR using TaqMan chemistry to detect leptospires in clinical and environmental samples.
        
        
          Results and Conclusions
          The PCR assay can be applied to either blood or urine samples and does not rely on the isolation and culture of the organism. Capability exists for automation and high throughput testing in a clinical laboratory. It is specific for Leptospira and may discriminate pathogenic and non-pathogenic species. The limit of detection is as low as two cells.
Compound 526796: 2-Hydroxy-heptadecanoic acid, methyl ester, 2-tBDMS ether

Chemical compound data from PubChem database. IUPAC Name: methyl 2-[tert-butyl(dimethyl)silyl]oxyheptadecanoate. Molecular Formula: C24H50O3Si. Molecular Weight: 414.7. This dataset contains comprehensive chemical information including structural data, physical properties, and biological activities. Useful for drug discovery, chemical research, and educational purposes.
Influenza Vaccination Coverage, ZIP Code

Chicago residents who are up to date with influenza vaccines by ZIP Code, based on the reported home address and age group of the person vaccinated, as provided by the medical provider in the Illinois Comprehensive Automated Immunization Registry Exchange (I-CARE).

“Up to date” refers to individuals aged 6 months and older who have received 1+ doses of influenza vaccine during the current season, defined as the beginning of July (MMWR week 27) through the end of the following June (MMWR week 26). 

Data Notes:

Weekly cumulative totals of people up to date are shown for each combination ZIP Code and age group. Note there are rows where age group is "All ages" so care should be taken when summing rows. Weeks begin on a Sunday and end on a Saturday.

Coverage percentages are calculated based on the cumulative number of people in each ZIP Code and age group who are considered up to date as of the week ending date divided by the estimated number of people in that subgroup. Population counts are obtained from the 2020 U.S. Decennial Census. For ZIP Codes mostly outside Chicago, coverage percentages are not calculated because reliable Chicago-only population counts are not available. Actual counts may exceed population estimates and lead to coverage estimates that are greater than 100%, especially in smaller ZIP Codes with smaller populations. Additionally, the medical provider may report a work address or incorrect home address for the person receiving the vaccination, which may lead to over- or underestimation of vaccination coverage by geography. All coverage percentages are capped at 99%.

The Chicago Department of Public Health (CDPH) uses the most complete data available to estimate influenza vaccination coverage among Chicagoans, but there are several limitations that impact our estimates. Influenza vaccine administration is not required to be reported in Illinois, except for publicly funded vaccine (e.g., Vaccines for Children, Section 317). Individuals may receive vaccinations that are not recorded in I-CARE, such as those administered in another state, or those administered by a provider that does not submit data to I-CARE, causing underestimation of the number individuals who received an influenza vaccine for the current season.

All data are provisional and subject to change. Information is updated as additional details are received and it is, in fact, very common for recent dates to be incomplete and to be updated as time goes on. At any given time, this dataset reflects data currently known to CDPH.

Numbers in this dataset may differ from other public sources due to when data are reported and how City of Chicago boundaries are defined.

For all datasets related to influenza, see https://data.cityofchicago.org/browse?limitTo=datasets&sortBy=alpha&tags=flu .

Data Source: Illinois Comprehensive Automated Immunization Registry Exchange (I-CARE), U.S. Census Bureau 2020 Decennial Census
Patent AT-E401161-T1: [Translated] HOLLOW FAN BLADE FOR FLOW MACHINE AND CORRESPONDING PRODUCTION PROCESS

A method for making a hollow fan blade includes the steps of: forming a plurality of ribs (42) on a first substrate (31), the first substrate (31) including cavities (40) on either side of each of the plurality of ribs; abutting the plurality of ribs (42) on the first substrate (31) with a second substrate (31) to form a hollow fan blade (30); and forming the hollow fan blade (30) into an airfoil shape while pressure inside the cavities (40) is substantially ambient pressure.
State and Local Area Integrated Telephone Survey (SLAITS)

The State and Local Area Integrated Telephone Survey (SLAITS) collected health care data at State and local levels between 1997 and 2014. This data collection mechanism was developed by the National Center for Health Statistics (NCHS) of the Centers for Disease Control and Prevention (CDC). It supplemented national data collection strategies by providing in-depth State and local area data to meet various program and policy needs.  SLAITS conducted both the National Survey of Children’s Health (2003, 2007, 2011-2012 and the National Survey of Children with Special Health Care Needs (2001, 2005-2006, 2009-2010).  Other surveys included Health (1997), Child Well-Being and Welfare (1998-1999), National Survey of Early Childhood Health (2000), National Asthma Survey (2003), National Survey of Adoptive Parents (2007), Survey of Adult Transition and Health (2007), Influenza Vaccination Module for Children (2007), National Survey of Adoptive Parents of Children with Special Health Care Needs (2008), Survey of Pathways to Diagnosis and Services (2011), National Survey of Children in Nonparental Care (2013), and National Survey of the Diagnosis and Treatment of ADHD and Tourette Syndrome (2014).
Compound 530104: 2-Methylphenyl 2,3,4-trifluorobenzoate

Chemical compound data from PubChem database. IUPAC Name: trimethylsilyl 2,6-bis(trimethylsilylamino)-4-trimethylsilyloxyhexanoate. Molecular Formula: C18H46N2O3Si4. Molecular Weight: 450.9. This dataset contains comprehensive chemical information including structural data, physical properties, and biological activities. Useful for drug discovery, chemical research, and educational purposes.
New York State Statewide COVID-19 Vaccination Data by County (Archived, 2023-2024)

<b>Note: As of 1/13/24, this dataset is no longer updated.</b> This dataset reports daily on the number of people vaccinated by New York providers who have received a dose of the updated COVID-19 vaccine authorized on September 12, 2023. New York providers include hospitals, pharmacies, and other providers registered with the State to serve as points of distribution.

This dataset is created by the New York State Department of Health from data reported to the New York State Immunization Information System (NYSIIS). County-level vaccination data is based on data reported to NYSIIS by the providers administering vaccines. Residency is self-reported by the individual being vaccinated.  This dataset includes limited data on vaccines administered through Federal entities (Veterans Health Administration) or performed outside of New York State to New York residents and will not be reflective of every dose administered to New York State residents in those settings. It does not include residents of New York City. NYSIIS data is used for county-level statistics. 

These data represent a lower-bound estimate on updated COVID-19 vaccination totals. With the end of the COVID-19 public health emergency, COVID-19 vaccination records are no longer required to be submitted to NYSIIS for adults 19+. Reporting remains mandatory for children 18 and under.
COVID-19 Weekly Cases and Deaths by Age, Race/Ethnicity, and Sex - ARCHIVED

<b>Note:</b>
Authorizations to collect certain public health data expired at the end of the U.S. public health emergency declaration on May 11, 2023. The following jurisdictions discontinued COVID-19 case notifications to CDC: Iowa (11/8/21), Kansas (5/12/23), Louisiana (10/31/23), New Hampshire (5/23/23), and Oklahoma (5/2/23). Please note that these jurisdictions will not routinely send new case data after the dates indicated. As of 7/13/23, case notifications from Oregon will only include pediatric cases resulting in death.


This table summarizes COVID-19 case and death data submitted to CDC as case reports for the line-level dataset. Case and death counts are stratified according to sex, age, and race and ethnicity at regional and national levels. Data for US territories are included in case and death counts, but not population counts. Weekly cumulative counts with five or fewer cases or deaths are not reported to protect confidentiality of patients. Records with unknown or missing sex, age, or race and ethnicity and of multiple, non-Hispanic race and ethnicity are included in case and death totals. COVID-19 case and death data are provisional and are subject to change. Visualization of COVID-19 case and death rate trends by demographic variables may be viewed on COVID Data Tracker (<a href="https://covid.cdc.gov/covid-data-tracker/#demographicsovertime">https://covid.cdc.gov/covid-data-tracker/#demographicsovertime</a>).
Reliability, Validity and Psychometric Properties of the Greek Translation of the Center for Epidemiological Studies-Depression (CES-D) Scale

Introduction
          The aim of the current study was to assess the reliability, validity and psychometric properties of the Greek translation of the Center for Epidemiological Studies- Depression Scale (CES-D).
        
        
          Methods
          40 depressed patients 29.65 ± 9.38 years old, and 120 normal controls 27.23 ± 10.62 years old entered the study. In 20 of them (12 patients and 8 controls) the instrument was re-applied 1-2 days later. Translation and Back Translation was made. Clinical Diagnosis was reached by consensus of two examiners with the use of the SCAN v.2.0 and the IPDE. Statistical Analysis included ANOVA, the Pearson Product Moment Correlation Coefficient, Principal Components Analysis and Discriminant Function Analysis and the calculation of Cronbach's alpha (α)
        
        
          Results
          Both Sensitivity and specificity exceed 90.00 at 23/24, Chronbach's alpha for the total scale was equal to 0.95. Factor analysis revealed three factors (positive affect, irritability and interpersonal relationships, depressed affect and somatic complains). The test-retest reliability was satisfactory (Pearson's R between 0.45 and 0.95 for individual items and 0.71 for total score).
        
        
          Conclusion
          The Greek translation of the CES-D scale is both reliable and valid and is suitable for clinical and research use with satisfactory properties. Its properties are similar to those reported in the international literature. However one should always have in mind the limitations inherent in the use of self-report scales.
Compound 530096: 3,5-Difluorophenyl 2-thienylacetate

Chemical compound data from PubChem database. IUPAC Name: trimethyl-(4-trimethylsilyloxypyrimidin-2-yl)sulfanylsilane. Molecular Formula: C10H20N2OSSi2. Molecular Weight: 272.52. This dataset contains comprehensive chemical information including structural data, physical properties, and biological activities. Useful for drug discovery, chemical research, and educational purposes.
Variability within individuals of plasma ionic magnesium concentrations

Background
          With the invention of the ion-selective electrode (ISE), ionic magnesium (iMg) is a common blood assay. This could be advantageous, as iMg is the biologically active form of Mg. There is some evidence that iMg has considerable within subject variability.
        
        
          Results
          Individual ranges averaged .08 mmol/L (range .05 to .14). Coefficients of variation (CV) ranged from 3% to 7% (mean 4%) while analytical variation was determined to be 2.3%. Biological variability thus accounts for almost half of the variability, which is clinically significant, as 9 of the 13 subjects recorded at least one value below a reference range of .46 – .60 mmol/L. A significant within-day variation (p < .001) was noted, with differences between 7:00 and 10:00 as well as 10:00 and 22:00. Between day variations were not significant (p = .56).
        
        
          Conclusions
          A plausible explanation of this data is that iMg has a circadian rhythm. Thus, cautious interpretation of single iMg values is warranted until future research determines the nature of iMg variability.
Compound 526430: 3,4-Dimethyl-3,4-diethyl-hexane

Chemical compound data from PubChem database. IUPAC Name: 3,4-diethyl-3,4-dimethylhexane. Molecular Formula: C12H26. Molecular Weight: 170.33. This dataset contains comprehensive chemical information including structural data, physical properties, and biological activities. Useful for drug discovery, chemical research, and educational purposes.
New Jersey (NJ)

This report presents estimates for measures of substance use and mental health based on the combined 2010 and 2011 National Surveys on Drug Use and Health (NSDUHs). Topics covered include past month substance use (e.g., illicit drugs, marijuana, cocaine, pain relievers, alcohol, tobacco), substance dependence, abuse, and treatment need, past year serious mental illness (SMI), any mental illness (AMI), suicidal thoughts, and major depressive episode (MDE). Resuts are provided for New Jersey for five age groups: 12 to 17, 18 to 25, 26 or older, 18 or older and all persons 12 or older.
Compound 526877: 2-(2-(2-Isopentoxy-ethoxy)-ethoxy)-ethoxy)-ethyl acetate

Chemical compound data from PubChem database. IUPAC Name: 2-[2-[2-[2-(3-methylbutoxy)ethoxy]ethoxy]ethoxy]ethyl acetate. Molecular Formula: C15H30O6. Molecular Weight: 306.39. This dataset contains comprehensive chemical information including structural data, physical properties, and biological activities. Useful for drug discovery, chemical research, and educational purposes.
CDPHE Composite Community Level Estimates (Census Tracts)

The Colorado Department of Public Health and Environment has developed community-level estimates for adults in a set of 14 important health condition and risk behavior indicators.   The dataset includes indicators on adult asthma prevalence, cigarette smoking prevalence, coronary heart disease prevalence, percent of adults who delayed medical care due to cost, diabetes prevalence, binge drinking and heavy alcohol consumption, percent of adults with fair or poor health status, mental distress, percent of adults with no routine medical checkup in the past 12 month, obesity and overweight prevalence, percent of adults that did not report doing physical activity or exercise, and percent of adults with frequent physical distress.  These four-year estimates (2013-2016) have been produced for each census tract in the State of Colorado based on modeled survey data collected in the Colorado Behavioral Risk Factor Surveillance System (BRFSS) and incorporating population, race, gender, and age estimates for each census tract from the American Community Survey.  CDPHE's Community Level Estimates are output from statistical models used to generate health condition and risk behavior estimates for smaller geographies than traditional surveillance systems report. The estimates are produced using a multilevel model that incorporates individual Colorado Behavioral Risk Factor Surveillance System (BRFSS) survey responses in addition to socio-demographic and contextual information about each census tract from the U.S. Census (American Community Survey). The individual survey responses related to a health condition or risk behavior from the Colorado BRFSS are nested within geographic boundaries (counties) where both individual characteristics (demographic) as well as sociodemographic characteristics can be used to model the probability of having a health condition or risk behavior at the census tract geography.
Compound 529146: 1-Dodecanamine, mono-TMS

Chemical compound data from PubChem database. IUPAC Name: N-trimethylsilyldodecan-1-amine. Molecular Formula: C15H35NSi. Molecular Weight: 257.53. This dataset contains comprehensive chemical information including structural data, physical properties, and biological activities. Useful for drug discovery, chemical research, and educational purposes.