AndreaBozzo/ceres-open-data-index huggingface dataset:
Compound 525197: Chloromethyl 2-chlorooctanoate

Chemical compound data from PubChem database. IUPAC Name: chloromethyl 2-chlorooctanoate. Molecular Formula: C9H16Cl2O2. Molecular Weight: 227.12. This dataset contains comprehensive chemical information including structural data, physical properties, and biological activities. Useful for drug discovery, chemical research, and educational purposes.
Disruption of spinal cord white matter and sciatic nerve geometry inhibits axonal growth

Background
          Axons within the mature mammalian central nervous system fail to regenerate following injury, usually resulting in long-lasting motor and sensory deficits. Studies involving transplantation of adult neurons into white matter implicate glial scar-associated factors in regeneration failure. However, these studies cannot distinguish between the effects of these factors and disruption of the spatial organization of cells and molecular factors (disrupted geometry). Since white matter can support or inhibit neurite growth depending on the geometry of the fiber tract, the present study sought to determine whether disrupted geometry is sufficient to inhibit neurite growth.
        
        
          Results
          Embryonic chick sympathetic neurons were cultured on unfixed longitudinal cryostat sections of mature rat spinal cord or sciatic nerve that had been crushed with forceps ex vivo then immediately frozen to prevent glial scarring. Neurite growth on uncrushed portions of spinal cord white matter or sciatic nerve was extensive and highly parallel with the longitudinal axis of the fiber tract but did not extend onto crushed portions. Moreover, neurite growth from neurons attached directly to crushed white matter or nerve tissue was shorter and less parallel compared with neurite growth on uncrushed tissue. In contrast, neurite growth appeared to be unaffected by crushed spinal cord gray matter.
        
        
          Conclusions
          These observations suggest that glial scar-associated factors are not necessary to block axonal growth at sites of injury. Disruption of fiber tract geometry, perhaps involving myelin-associated neurite-growth inhibitors, may be sufficient to pose a barrier to regenerating axons in spinal cord white matter and peripheral nerves.
Table 16. Perceptions of Great Risk of Smoking One or More Packs of Cigarettes Per Day among Persons Aged 12 or Older, by State and Substate Regions: Percentages, Annual Averages Based on 2008, 2009, and 2010 NSDUHs

This table presents the 2008 to 2010 National Survey on Drug Use and Health (NSDUH) estimates of perceptions of great risk of having smoking one or more packs of cigarettes a day among those aged 12 or older by State and substate regions.
Compound 528757: Agn-PC-036due

Chemical compound data from PubChem database. IUPAC Name: deca-2,8-dien-4,6-diynyl 3-methylbutanoate. Molecular Formula: C15H18O2. Molecular Weight: 230.3. This dataset contains comprehensive chemical information including structural data, physical properties, and biological activities. Useful for drug discovery, chemical research, and educational purposes.
Patent AT-E400392-T1: [Translated] ROTATING PIPE WELDING USING A SUPER-ABRASIVE TOOL

A probe for friction stir welding MMCs, ferrous alloys, non-ferrous alloys, and superalloys, as well as non-ferrous alloys, the probe including a shank, a shoulder, and a pin disposed through the shoulder and into the shank, wherein the pin and the shoulder at least include a coating comprised of a superabrasive material, the pin and shoulder being designed to reduce stress risers, disposing a collar around a portion of the shoulder and the shank to thereby prevent movement of the shoulder relative to the shank, and incorporating thermal management by providing a thermal flow barrier between the shoulder and the shank, and between the collar and the tool.
National Survey on Drug Use and Health (NSDUH-2014)

<p>The National Survey on Drug Use and Health (NSDUH) series (formerly titled National Household Survey on Drug Abuse) primarily measures the prevalence and correlates of drug use in the United States. The surveys are designed to provide quarterly, as well as annual, estimates. Information is provided on the use of illicit drugs, alcohol, and tobacco among members of United States households aged 12 and older. Questions included age at first use as well as lifetime, annual, and past-month usage for the following drug classes: marijuana, cocaine (and crack), hallucinogens, heroin, inhalants, alcohol, tobacco, and nonmedical use of prescription drugs, including pain relievers, tranquilizers, stimulants, and sedatives. The survey covered substance abuse treatment history and perceived need for treatment, and included questions from the Diagnostic and Statistical Manual (DSM) of Mental Disorders that allow diagnostic criteria to be applied. The survey included questions concerning treatment for both substance abuse and mental health-related disorders. Respondents were also asked about personal and family income sources and amounts, health care access and coverage, illegal activities and arrest record, problems resulting from the use of drugs, and needle-sharing. Questions introduced in previous administrations were retained in the 2014 survey, including questions asked only of respondents aged 12 to 17. These "youth experiences" items covered a variety of topics, such as neighborhood environment, illegal activities, drug use by friends, social support, extracurricular activities, exposure to substance abuse prevention and education programs, and perceived adult attitudes toward drug use and activities such as school work. Several measures focused on prevention-related themes in this section. Also retained were questions on mental health and access to care, perceived risk of using drugs, perceived availability of drugs, driving and personal behavior, and cigar smoking. Questions on the tobacco brand used most often were introduced with the 1999 survey. For the 2008 survey, adult mental health questions were added to measure symptoms of psychological distress in the worst period of distress that a person experienced in the past 30 days and suicidal ideation. In 2008, a split-sample design also was included to administer separate sets of questions (WHODAS vs. SDS) to assess impairment due to mental health problems. Beginning with the 2009 NSDUH, however, all of the adults in the sample received only the WHODAS questions. Background information includes sex, race, age, ethnicity, marital status, educational level, job status, veteran status, and current household composition.<br />
This study has 1 Data Set.</p>
Compound 529500: 2-Methylpropyl hex-2-enoate

Chemical compound data from PubChem database. IUPAC Name: 2-methylpropyl hex-2-enoate. Molecular Formula: C10H18O2. Molecular Weight: 170.25. This dataset contains comprehensive chemical information including structural data, physical properties, and biological activities. Useful for drug discovery, chemical research, and educational purposes.
Service Area PUF - PY2019

The Service Area PUF (SA-PUF) is one of the files that make up the Marketplace PUF. The SA-PUF contains issuer-level data on the geographic coverage or service area (i.e., where the plan is offered) including state, county, and zip code. These data either originate from the Service Area template (i.e., template field), an Excel based form used by issuers to describe their plans in the QHP/SADP application process, or were generated by CCIIO for use in data processing (i.e., system-generated).
Compound 525424: 3-(Methylsulfanyl)prop-1-yne

Chemical compound data from PubChem database. IUPAC Name: 3-methylsulfanylprop-1-yne. Molecular Formula: C4H6S. Molecular Weight: 86.16. This dataset contains comprehensive chemical information including structural data, physical properties, and biological activities. Useful for drug discovery, chemical research, and educational purposes.
Compound 527672: Butanoic acid, 2-chloro, 1,1-dimethylpropyl ester

Chemical compound data from PubChem database. IUPAC Name: 2-methylbutan-2-yl 2-chlorobutanoate. Molecular Formula: C9H17ClO2. Molecular Weight: 192.68. This dataset contains comprehensive chemical information including structural data, physical properties, and biological activities. Useful for drug discovery, chemical research, and educational purposes.
Immune ablation and stem-cell therapy in autoimmune disease: Clinical experience

In the past 5 years, around 350 patients have received haematopoietic stem cell (HSC) transplantation for an autoimmune disease, with 275 of these registered in an international data base in Basel under the auspices of the European League Against Rheumatism (EULAR) and the European Group for Blood and Marrow Transplantation(EBMT). Most patients had either a progressive form of multiple sclerosis (MS; n = 88) or scleroderma (now called systemic sclerosis; n = 55). Other diseases were rheumatoid arthritis (Ra n = 40), juvenile idiopathic arthritis (JIA; n = 30), systemic lupus erythematosus (SLE; n = 20), idiopathic thrombocytopenic purpura (ITP; n = 7) and others. The procedure-related mortality was around 9%, with between-disease differences, being higher in systemic sclerosis and JIA and lower in RA (one death only). Benefit has been seen in around two-thirds of cases. No one regimen was clearly superior to another, with a trend toward more infectious complications with more intense regimens. Prospective, controlled randomized trials are indicated and being planned.
Compound 529932: Dodecane, 5-butyl-6-ethyl

Chemical compound data from PubChem database. IUPAC Name: 5-butyl-6-ethyldodecane. Molecular Formula: C18H38. Molecular Weight: 254.5. This dataset contains comprehensive chemical information including structural data, physical properties, and biological activities. Useful for drug discovery, chemical research, and educational purposes.
Alaska (AK)

This report uses 2008 to 2010 National Survey on Drug Use and Health (NSDUH) to assess past year alcohol use disorder and illicit drug use disorder among persons aged 12 or older for Alaska overall and for substate regions within Alaska. 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).
NNDSS - Table II. Spotted Fever Rickettsiosis to Syphilis

NNDSS - Table II. Spotted Fever Rickettsiosis to Syphilis - 2015.In this Table, provisional cases of selected notifiable diseases (≥1,000 cases reported during the preceding year), and selected low frequency diseases are displayed. The Table includes total number of cases reported in the United States, by region and by states, in accordance with the current method of displaying MMWR data.  Data on United States exclude counts from US territories. Note:These are provisional cases of selected national notifiable diseases, from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data reported by the 50 states, New York City, the District of Columbia, and the U.S. territories are collated and published weekly as numbered tables printed in the back of the Morbidity and Mortality Weekly Report (MMWR). Cases reported by state health departments to CDC for weekly publication are provisional because of ongoing revision of information and delayed reporting. Case counts in this table are presented as they were published in the MMWR issues. Therefore, numbers listed in later MMWR weeks may reflect changes made to these counts as additional information becomes available. Footnotes:C.N.M.I.: Commonwealth of Northern Mariana Islands. U: Unavailable.    -: No reported cases.    N: Not reportable.    NN: Not Nationally Notifiable.    NP: Nationally notifiable but not published.    Cum: Cumulative year-to-date counts.    Med: Median.    Max: Maximum. * Three low incidence conditions, rubella, rubella congenital, and tetanus, have been moved to Table 2 to facilitate case count verification with reporting jurisdictions. ��� Case counts for reporting year 2015 are provisional and subject to change. For further information on interpretation of these data, see http://wwwn.cdc.gov/nndss/document/ProvisionalNationaNotifiableDiseasesSurveillanceData20100927.pdf. Data for TB are displayed in Table IV, which appears quarterly. �� Illnesses with similar clinical presentation that result from Spotted fever group rickettsia infections are reported as Spotted fever rickettsioses. Rocky Mountain spotted fever (RMSF) caused by Rickettsia rickettsii, is the most common and well-known spotted fever.
Compound 525349: 2,2-Dimethyl-3,4-dithiaheptane

Chemical compound data from PubChem database. IUPAC Name: 2-methyl-2-(propyldisulfanyl)propane. Molecular Formula: C7H16S2. Molecular Weight: 164.3. This dataset contains comprehensive chemical information including structural data, physical properties, and biological activities. Useful for drug discovery, chemical research, and educational purposes.
Compound 530728: 2,6-Difluorobenzoic acid, 2,6-dimethylnon-1-en-3-yn-5-yl ester

Chemical compound data from PubChem database. IUPAC Name: 2,6-dimethylnon-1-en-3-yn-5-yl 2,6-difluorobenzoate. Molecular Formula: C18H20F2O2. Molecular Weight: 306.3. This dataset contains comprehensive chemical information including structural data, physical properties, and biological activities. Useful for drug discovery, chemical research, and educational purposes.
Daily Census Tract-Level Ozone Concentrations, 2001-2005

This dataset provides modeled predictions of ozone levels from the EPA's Downscaler model. Data are at the census tract level for 2001-2005. These data are used by the CDC's National Environmental Public Health Tracking Network to generate air quality measures. Census tract-level datasets contain estimates of the mean predicted concentration and associated standard error. Please refer to the metadata attachment for more information.

Learn more about outdoor air quality on the Tracking Network's website: https://ephtracking.cdc.gov/showAirLanding.action.

By using these data, you signify your agreement to comply with the following requirements:
1. Use the data for statistical reporting and analysis only.
2. Do not attempt to learn the identity of any person included in the data and do not combine these data with other data for the purpose of matching records to identify individuals.
3. Do not disclose of or make use of the identity of any person or establishment discovered inadvertently and report the discovery to: trackingsupport@cdc.gov.
4. Do not imply or state, either in written or oral form, that interpretations based on the data are those of the original data sources and CDC unless the data user and data source are formally collaborating.
5. Acknowledge, in all reports or presentations based on these data, the original source of the data and CDC.
6. Suggested citation: Centers for Disease Control and Prevention. National Environmental Public Health Tracking Network. Web. Accessed: insert date. www.cdc.gov/ephtracking.
2010 State Profile — Maryland

This state profile includes data from facilities in Maryland that reported to N-SSATS for the survey reference date March 31, 2010. Data were collected on the location, characteristics, services offered, and number of clients in treatment at alcohol and drug abuse treatment facilities (both public and private) in Maryland. In Maryland, 339 substance abuse treatment facilities were included in the 2010 N-SSATS, reporting that there were 38,770 clients in substance abuse treatment on March 31, 2010. The survey response rate in Maryland was 95.2%.
DASH - Youth Risk Behavior Surveillance System (YRBSS): Middle School

1991-2017. Middle School Dataset. The Youth Risk Behavior Surveillance System (YRBSS) monitors six categories of priority health behaviors 
among youth and young adults: 1) behaviors that contribute to unintentional injuries and violence; 2) tobacco use; 3) alcohol and 
other drug use; 4) sexual behaviors related to unintended pregnancy and sexually transmitted infections (STIs), including human 
immunodeficiency virus (HIV) infection; 5) unhealthy dietary behaviors; and 6) physical inactivity. In addition, YRBSS monitors 
the prevalence of obesity and asthma and other priority health behaviors.
Program Instruction for the June 30, 2023 State submission of: (1) the fourth Annual Progress and Services Report (APSR); (2) the Child Abuse Prevention and Treatment Act (CAPTA) State Plan update; and (3) the CFS-101s

This Program Instruction (PI) provides guidance to states, territories, and insular areas (hereafter “states,” unless otherwise noted) on actions they are required to take to receive their allotments for Federal Fiscal Year (FY)1 2024 (subject to the availability of appropriations) authorized under title IV-B, subparts 1 and 2, section 106 of CAPTA, Chafee and ETV programs.

PI-23-01 (PDF)

CFS-101 Instructions, Part I, II, and III

Introduction
Part I: Annual Budget Request for Title IV-B, Subpart 1 & 2 Funds, CAPTA, Chafee, and ETV Instructions
Part II: Annual Estimated Expenditure Summary of Child and Family Services Instructions 
Part III: Expenditures for Title IV-B, Subparts 1 and 2, Chafee Foster Care Program for Successful Transition to Adulthood (Chafee) and Education and Training Voucher (ETV) Programs Instructions

CFS-101 Forms, Parts I, II and III Excel Workbook (XLSX) (Updated as of 3/24/2023)

CFS-101 Forms Part I
CFS-101 Forms Part II
CFS-101 Forms Part III

Annual Reporting of Education and Training Vouchers Awarded (PDF)

Metadata-only record linking to the original dataset. Open original dataset below.
Patent AT-E400725-T1: [Translated] PNEUMATIC PERFORATING DEVICE

The invention is referring to a pneumatic perforator for drilling in mining industry having a head cylinder including the admission valve of the compressed air and the water washing installation for the perforated hole washing, characterized by that the perforator is provided by a quick change of the rotation speed device (B) which's line grooved bushing (8) placed in a gear's hub (9) is driving an pipe shaft (16) provided by idlers (17, 18, 19) geared by the steering wheels (22, 23, 24) fixed on the rotation bushing (25) in which is pressed the drill-bushing (30); its rotation speed is selected by a mobile peen (31) assembled in the rod (32).
Markers for early detection of cancer: Statistical guidelines for nested case-control studies

Background
          Recently many long-term prospective studies have involved serial collection and storage of blood or tissue specimens. This has spurred nested case-control studies that involve testing some specimens for various markers that might predict cancer. Until now there has been little guidance in statistical design and analysis of these studies.
        
        
          Methods
          To develop statistical guidelines, we considered the purpose, the types of biases, and the opportunities for extracting additional information.
        
        
          Results
          The following guidelines:
          (1) For the clearest interpretation, statistics should be based on false and true positive rates – not odds ratios or relative risks
          (2) To avoid overdiagnosis bias, cases should be diagnosed as a result of symptoms rather than on screening.
          (3) To minimize selection bias, the spectrum of control conditions should be the same in study and target screening populations.
          (4) To extract additional information, criteria for a positive test should be based on combinations of individual markers and changes in marker levels over time.
          (5) To avoid overfitting, the criteria for a positive marker combination developed in a training sample should be evaluated in a random test sample from the same study and, if possible, a validation sample from another study.
          (6) To identify biomarkers with true and false positive rates similar to mammography, the training, test, and validation samples should each include at least 110 randomly selected subjects without cancer and 70 subjects with cancer.
        
        
          Conclusion
          These guidelines ensure good practice in the design and analysis of nested case-control studies of early detection biomarkers.
Miami - Fort Lauderdale Div: Drug-Related Emergency Department Visits, 2008-2011 - All Alcohol

Excel file with estimates, rates, relative standard errors, trends and confidence intervals, covering 2008-2011 for emergency department visits involving alcohol in the Fort Lauderdale division of the Miami metropolitan area.  For adults aged 21 and older, the alcohol was found in combination with other drugs. For patients under the age of 21, the visit may involve alcohol alone or in combination with other drugs.File includes data for over 500 drugs, including illicit drugs, prescription and over-the-counter medications, dietary supplements, inhalants and alcohol.  Includes total visits, gender, age group, race/ethnicity, outcome of visit, drug combinations, number of drugs involved in visit, drug frequency, and drugs confirmed by toxicology.Additional detail is provided for illicit drugs, psychotherapeutic drugs, central nervous system (CNS) drugs, respiratory drugs and cardiovascular drugs.
Compound 528879: Dopamine, N-acetyl-PFP

Chemical compound data from PubChem database. IUPAC Name: [4-(2-acetamidoethyl)-2-(2,2,3,3,3-pentafluoropropanoyloxy)phenyl] 2,2,3,3,3-pentafluoropropanoate. Molecular Formula: C16H11F10NO5. Molecular Weight: 487.25. This dataset contains comprehensive chemical information including structural data, physical properties, and biological activities. Useful for drug discovery, chemical research, and educational purposes.
Compound 530777: p-Toluic acid, 5-fluoro-2-nitrophenyl ester

Chemical compound data from PubChem database. IUPAC Name: (5-fluoro-2-nitrophenyl) 4-methylbenzoate. Molecular Formula: C14H10FNO4. Molecular Weight: 275.23. This dataset contains comprehensive chemical information including structural data, physical properties, and biological activities. Useful for drug discovery, chemical research, and educational purposes.
Compound 529950: 3-[(1-Methyl-2-oxobutyl)-dithio]-2-pentanone

Chemical compound data from PubChem database. IUPAC Name: 3-(3-oxopentan-2-yldisulfanyl)pentan-2-one. Molecular Formula: C10H18O2S2. Molecular Weight: 234.4. This dataset contains comprehensive chemical information including structural data, physical properties, and biological activities. Useful for drug discovery, chemical research, and educational purposes.
Accuracy of responses from postal surveys about continuing medical education and information behavior: experiences from a survey among German diabetologists

Background
          Postal surveys are a popular instrument for studies about continuing medical education habits. But little is known about the accuracy of responses in such surveys. The objective of this study was to quantify the magnitude of inaccurate responses in a postal survey among physicians.
        
        
          Methods
          A sub-analysis of a questionnaire about continuing medical education habits and information management was performed. The five variables used for the quantitative analysis are based on a question about the knowledge of a fictitious technical term and on inconsistencies in contingency tables of answers to logically connected questions.
        
        
          Results
          Response rate was 52%. Non-response bias is possible but seems not very likely since an association between demographic variables and inconsistent responses could not be found. About 10% of responses were inaccurate according to the definition.
        
        
          Conclusion
          It was shown that a sub-analysis of a questionnaire makes a quantification of inaccurate responses in postal surveys possible. This sub-analysis revealed that a notable portion of responses in a postal survey about continuing medical education habits and information management was inaccurate.