AndreaBozzo/ceres-open-data-index huggingface dataset:
NNDSS - Table 1E. Botulism, Foodborne to Botulism, Other (wound & unspecified)

NNDSS - Table 1E. Botulism, Foodborne to Botulism, Other (wound & unspecified) - 2020. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents.

Note: 
This table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. 

Footnotes:
U: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.
-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.
N: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.
NN: Not nationally notifiable — This condition was not designated as being nationally notifiable.
NP: Nationally notifiable but not published.
NC: Not calculated — There is insufficient data available to support the calculation of this statistic.
Cum: Cumulative year-to-date counts.
Max: Maximum — Maximum case count during the previous 52 weeks.
* Case counts for reporting years 2019 and 2020 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-U.S. Residents' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf.
†Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data).
Characterization of adjacent breast tumors using oligonucleotide microarrays

Background
          Current methodology often cannot distinguish second primary breast cancers from multifocal disease, a potentially important distinction for clinical management. In the present study we evaluated the use of oligonucleotide-based microarray analysis in determining the clonality of tumors by comparing gene expression profiles.
        
        
          Method
          Total RNA was extracted from two tumors with no apparent physical connection that were located in the right breast of an 87-year-old woman diagnosed with invasive ductal carcinoma (IDC). The RNA was hybridized to the Affymetrix Human Genome U95A Gene Chip® (12,500 known human genes) and analyzed using the Gene Chip Analysis Suite® 3.3 (Affymetrix, Inc, Santa Clara, CA, USA) and JMPIN® 3.2.6 (SAS Institute, Inc, Cary, NC, USA). Gene expression profiles of tumors from five additional patients were compared in order to evaluate the heterogeneity in gene expression between tumors with similar clinical characteristics.
        
        
          Results
          The adjacent breast tumors had a pairwise correlation coefficient of 0.987, and were essentially indistinguishable by microarray analysis. Analysis of gene expression profiles from different individuals, however, generated a pairwise correlation coefficient of 0.710.
        
        
          Conclusion
          Transcriptional profiling may be a useful diagnostic tool for determining tumor clonality and heterogeneity, and may ultimately impact on therapeutic decision making.
New Mexico (NM)

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 Mexico for five age groups: 12 to 17, 18 to 25, 26 or older, 18 or older and all persons 12 or older.
Patent AT-E400733-T1: [Translated] METHOD FOR CONTROLLING ELEMENTS USED TO PERFORM THE BASIC FUNCTIONS OF AN INTERNAL COMBUSTION ENGINE

The method involves determining theoretical signals before supplying the signal by oxygen probes (27, 28) and nitrous oxide probe (29) at point of actual functioning of a motor. Signal correction instruction is developed for a throttle valve (11), exhaust gas recirculation valve (16), injectors (19), supplying system (21), pressure sensor (30), flow sensor (31), and the probes as function of gaps between theoretical signals.  Independent claims are also included for the following:  (a)  a drive unit (b)  a vehicle.
SHIP Suicide Rate 2009-2021

Suicide Rate - This indicator shows the suicide rate per 100,000 population. Suicide is a serious public health problem that can have lasting effects on individuals, families, and communities. Mental disorders and/or substance abuse have been found in the great majority of people who have died by suicide. In Maryland, approximately 500 lives are lost each year to this preventable cause of death. <a href ="https://health.maryland.gov/pophealth/Documents/SHIP/SHIP%20Lite%20Data%20Details/Suicide%20Rate.pdf" > Link to Data Details </a>
Children's Justice Act

The Children's Justice Act (CJA) provides grants to States to improve the investigation, prosecution and judicial handling of cases of child abuse and neglect, particularly child sexual abuse and exploitation, in a manner that limits additional trauma to the child victim. This also includes the handling of child fatality cases in which child abuse or neglect is suspected and some cases of children with disabilities and serious health problems who also are victims of abuse and neglect.

In FY 2024, 50 States, the District of Columbia, the Commonwealth of Puerto Rico, the Virgin Islands, Guam, American Samoa and the Commonwealth of the Northern Mariana Islands were deemed eligible for grants from funds deposited in the Crime Victims Fund (PDF), for a total of $17,000,000. States must apply for the funds and meet certain eligibility requirements, including receipt of the CAPTA State Grant and establishment of a CJA Task Force as outlined in the legislation. Funds are allocated in the amount of $50,000 per State, plus an additional amount based on the population of children under 18 years of age in the applicant's jurisdiction. Funding comes from the Crime Victims' Fund, which collects fines and fees charged to persons convicted of Federal crimes. The Fund is administered by the U.S. Department of Justice, Office of Victims of Crime (OVC) and the grants are awarded by the Administration on Children, Youth and Families, U.S. Department of Health and Human Services, as outlined in Section 107 of the Child Abuse Prevention and Treatment Act (CAPTA), as amended, by the Keeping Children and Families Safe Act of 2003.

To be eligible for CJA funds, States must be eligible for the CAPTA Basic State Grant and are required to establish and maintain a multidisciplinary Task Force on children's justice. The Task Force is to be comprised of representatives from selected disciplines involved in handling child abuse and neglect cases.

The Task Force makes policy and training recommendations regarding methods to better handle these cases, with the expectation that it will result in reduced trauma to the child victim and the victim's family, while ensuring fairness to the accused.

Every three years after the initial award, the Task Force is required by legislation to conduct a comprehensive evaluation of the State's systems related to the investigative, administrative and judicial handling of child abuse, neglect and exploitation cases and child maltreatment-related fatalities and make recommendations for improvements to those systems.

*On March 10, 2000, the President signed the CAPE (Child Abuse Prevention and Enforcement) Act into law, which provides for an increase in funds for the Children's Justice Act from $10 million to as much as $20 million per year. Under CAPE, in any year in which the amount of fine collections in the Fund rises above the FY 1998 level of $363 million, half of the increase up to a total of $20 million, will go toward funding CJA.

Metadata-only record linking to the original dataset. Open original dataset below.
NNDSS - TABLE 1J. Dengue virus infections, Dengue to Severe dengue

NNDSS - TABLE 1J. Dengue virus infections, Dengue to Severe dengue - 2020. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents.

Note: 
This table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. 

Footnotes:
U: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.
-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.
N: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.
NN: Not nationally notifiable — This condition was not designated as being nationally notifiable.
NP: Nationally notifiable but not published.
NC: Not calculated — There is insufficient data available to support the calculation of this statistic.
Cum: Cumulative year-to-date counts.
Max: Maximum — Maximum case count during the previous 52 weeks.
* Case counts for reporting years 2019 and 2020 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-U.S. Residents' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf.
†Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data).
Adult Residential Care Homes

<div>[<a href='https://files.hawaii.gov/dbedt/op/gis/data/Adult_Residential_Care_Homes.pdf' target='_blank' rel='nofollow ugc noopener noreferrer'>Metadata</a>] Locations of adult residential care homes in the State of Hawaii as of November 2021. <br /></div><div>Source: Created by Hawaii Statewide GIS Program from data downloaded from Hawaii State Department of Health Office of Health Care Assurance (OHCA). For more information, please see metadata at <a href='https://files.hawaii.gov/dbedt/op/gis/data/Adult_Residential_Care_Homes.pdf' target='_blank' rel='nofollow ugc noopener noreferrer'>https://files.hawaii.gov/dbedt/op/gis/data/Adult_Residential_Care_Homes.pdf</a> or contact Hawaii Statewide GIS Program, Office of Planning and Sustainable Development, State of Hawaii; PO Box 2359, Honolulu, Hi. 96804; (808) 587-2846; email: <a href='mailto:gis@hawaii.gov' target='_blank' rel='nofollow ugc noopener noreferrer'>gis@hawaii.gov</a>; Website: <a href='https://planning.hawaii.gov/gis' target='_blank' rel='nofollow ugc noopener noreferrer'>https://planning.hawaii.gov/gis</a>.</div>
Compound 526294: 1,4,7-Tribromo-dibenzofuran

Chemical compound data from PubChem database. IUPAC Name: 1,4,7-tribromodibenzofuran. Molecular Formula: C12H5Br3O. Molecular Weight: 404.88. This dataset contains comprehensive chemical information including structural data, physical properties, and biological activities. Useful for drug discovery, chemical research, and educational purposes.
An innovative approach to developing the reflective skills of medical students

Background
          Development of the reflective skills of medical students is an acknowledged objective of medical education.
        
        
          Description
          Description of an educational exercise which uses an email-based process for developing the reflective skills of undergraduate medical students. Student quotations illustrate learning outcomes qualitatively.
        
        
          Discussion
          The process described is immediate, direct, linked to learning objectives, enables rapid responses to be given to the students individually, and is followed by group sharing of learning. It provides a rigorous and robust feedback loop for students. It is relatively economic for teachers and incidentally benefits curriculum design and evolution. The approach supports development of a reflective approach to learning.
NNDSS - TABLE 1II. Tetanus to Trichinellosis

NNDSS - TABLE 1II. Tetanus to Trichinellosis – 2022. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents.

Notes:

•	These are weekly cases of selected infectious 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 available at https://www.cdc.gov/nndss/data-statistics/index.html. Cases reported by state health departments to CDC for weekly publication are subject to ongoing revision of information and delayed reporting. Therefore, numbers listed in later weeks may reflect changes made to these counts as additional information becomes available. Case counts in the tables are presented as published each week. See also Guide to Interpreting Provisional and Finalized NNDSS Data at https://www.cdc.gov/nndss/docs/Readers-Guide-WONDER-Tables-20210421-508.pdf.
• Notices, errata, and other notes are available in the Notice To Data Users page at https://wonder.cdc.gov/nndss/NTR.html.
•	The list of national notifiable infectious diseases and conditions and their national surveillance case definitions are available at https://ndc.services.cdc.gov/. This list incorporates the Council of State and Territorial Epidemiologists (CSTE) position statements approved by CSTE for national surveillance.

Footnotes:

*Case counts for reporting years 2021 and 2022 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-U.S. Residents' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://www.cdc.gov/nndss/docs/Readers-Guide-WONDER-Tables-20210421-508.pdf.
†Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data).
U: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.
-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.
N: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.
NN: Not nationally notifiable — This condition was not designated as being nationally notifiable.
NP: Nationally notifiable but not published.
NC: Not calculated — There is insufficient data available to support the calculation of this statistic.
Cum: Cumulative year-to-date counts.
Max: Maximum — Maximum case count during the previous 52 weeks.
Pooling data for Number Needed to Treat: no problems for apples

Objective
          To consider the problem of the calculation of number needed to treat (NNT) derived from risk difference, odds ratio, and raw pooled events shown to give different results using data from a review of nursing interventions for smoking cessation.
        
        
          Discussion
          A review of nursing interventions for smoking cessation from the Cochrane Library provided different values for NNT depending on how NNTs were calculated. The Cochrane review was evaluated for clinical heterogeneity using L'Abbé plot and subsequent analysis by secondary and primary care settings.
          Three studies in primary care had low (4%) baseline quit rates, and nursing interventions were without effect. Seven trials in hospital settings with patients after cardiac surgery, or heart attack, or even with cancer, had high baseline quit rates (25%). Nursing intervention to stop smoking in the hospital setting was effective, with an NNT of 14 (95% confidence interval 9 to 26). The assumptions involved in using risk difference and odds ratio scales for calculating NNTs are discussed.
        
        
          Summary
          Clinical common sense and concentration on raw data helps to detect clinical heterogeneity. Once robust statistical tests have told us that an intervention works, we then need to know how well it works. The number needed to treat or harm is just one way of showing that, and when used sensibly can be a useful tool.
2015 CMHS Uniform Reporting System (URS) Table for Massachusetts

2015 Center for Mental Health Services (CMHS) Uniform Reporting System (URS) Output Tables for Massachusetts. The URS state reporting system is collected annually to support the Community Mental Health Services Block Grant program. State Mental Health Authorities report on National Outcome Measures (NOMS), evidence based practices, and utilization measures providing an overview of state mental health delivery systems.
Compound 525316: D-Erythro-Pentofuranose, 2-deoxy-1,3,5-tris-O-(trimethylsilyl)-

Chemical compound data from PubChem database. IUPAC Name: trimethyl-[4-trimethylsilyloxy-5-(trimethylsilyloxymethyl)oxolan-2-yl]oxysilane. Molecular Formula: C14H34O4Si3. Molecular Weight: 350.67. This dataset contains comprehensive chemical information including structural data, physical properties, and biological activities. Useful for drug discovery, chemical research, and educational purposes.
Compound 526241: 1,2,4,6-Tetrabromo-dibenzofuran

Chemical compound data from PubChem database. IUPAC Name: 1,2,4,6-tetrabromodibenzofuran. Molecular Formula: C12H4Br4O. Molecular Weight: 483.77. This dataset contains comprehensive chemical information including structural data, physical properties, and biological activities. Useful for drug discovery, chemical research, and educational purposes.
Compound 528850: 3-Hydroxyfurostan-27-yl 4-methylbenzenesulfonate

Chemical compound data from PubChem database. IUPAC Name: 4-ethyl-6-pentyl-1,2,3,5-tetrathiane. Molecular Formula: C9H18S4. 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.
Compound 530662: 4-Butylbenzoic acid, 3-methylbut-2-enyl ester

Chemical compound data from PubChem database. IUPAC Name: 3-methylbut-2-enyl 4-butylbenzoate. Molecular Formula: C16H22O2. Molecular Weight: 246.34. This dataset contains comprehensive chemical information including structural data, physical properties, and biological activities. Useful for drug discovery, chemical research, and educational purposes.
Research Article: BMC Microbiology

Background
          The acetamidase of Mycobacterium smegmatis is a highly inducible enzyme. Expression of this enzyme is increased 100-fold when the substrate acetamide is present. The acetamidase gene is found immediately downstream of three open reading frames. Two of these are proposed to be involved in regulation.
        
        
          Results
          We constructed a deletion mutant in one of the upstream ORFs (amiA). This mutant (Mad1) showed a constitutively high level of acetamidase expression. We identified four promoters in the upstream region using a β-galactosidase reporter gene. One of these (P2) was inducible in the wild-type, but was constitutively active in Mad1.
        
        
          Conclusions
          These results demonstrate that amiA encodes a negative regulatory protein which interacts with P2. Since amiA has homology to DNA-binding proteins, it is likely that it exerts the regulatory effect by binding to the promoter to prevent transcription.
Compound 527220: 1,2,3,4,4a,5,6,8a-Octahydro-1,4a-dimethyl-7-(1-methylethyl)-1-naphthalenol

Chemical compound data from PubChem database. IUPAC Name: 1,4a-dimethyl-7-propan-2-yl-2,3,4,5,6,8a-hexahydronaphthalen-1-ol. Molecular Formula: C15H26O. Molecular Weight: 222.37. This dataset contains comprehensive chemical information including structural data, physical properties, and biological activities. Useful for drug discovery, chemical research, and educational purposes.
2010 CMHS Uniform Reporting System (URS) Output Tables for Virgin Islands

Center for Mental Health Services (CMHS) Uniform Reporting System (URS) Output Tables for 2010. The Uniform Reporting System (URS) is a state and national reporting system collected annually to support the Community Mental Health Services Block Grant program. State Mental Health Authorities report on National Outcome Measures (NOMS), evidence based practices, and utilization measures providing an overview of state mental health delivery systems.
Patent AT-E400613-T1: [Translated] POLYESTER COMPOSITION

Isotropic polyester compositions containing specified amounts of certain reinforcing fillers, a polymeric toughening agent, and a liquid crystalline polymer are especially useful for parts which have appearance surfaces and/or are painted. Such compositions are useful for items such as appliance parts, automotive body panels, power tool housing, and electronics housings. Processes for coating such compositions are also described.