AndreaBozzo/ceres-open-data-index huggingface dataset:
Hospital Inpatient Discharges (SPARCS De-Identified): Inpatient Quality Indicators (IQI) Area Measures by Patient County: Calendar Year 2015

The datasets contain hospital discharges counts (numerators, denominators, volume counts), observed, expected and risk-adjusted rates with corresponding 95% confidence intervals for IQIs generated using methodology developed by Agency for Healthcare Research and Quality (AHRQ). 
The IQIs are a set of measures that provide a perspective on hospital quality of care using hospital administrative data. These indicators reflect quality of care inside hospitals and include inpatient mortality for certain procedures and medical conditions; utilization of procedures for which there are questions of overuse, underuse, and misuse; and volume of procedures for which there is some evidence that a higher volume of procedures is associated with lower mortality. 
All the IQI measures were calculated using Statewide Planning and Research Cooperative System (SPARCS) inpatient data beginning 2009. US Census data files provided by AHRQ were used to derive denominators for county level (area level) IQI measures.
The mortality, volume and utilization measures IQIs are presented by hospital as rates or counts. Area-level utilization measures are presented by county as rates.
Information Memorandum (IM-94-17)

This Information Memorandum (IM) establishes Fiscal Year (FY) 1994 Allotments for Title IV-B and Procedures for Applying for: (1) Funds available to a State or Indian Tribal Organization (ITO) from its FY l994 allotment and (2) for States only, Realloted IV-B Funds.

Metadata-only record linking to the original dataset. Open original dataset below.
2021 Final Assisted Reproductive Technology (ART) Success Rates

Data were updated on September 11, 2024.

ART data are made available as part of the National ART Surveillance System (NASS) that collects success rates, services, profiles and annual summary data from fertility clinics across the U.S. There are four datasets available: ART Services and Profiles, ART Patient and Cycle Characteristics, ART Success Rates, and ART Summary. All four datasets may be linked by “ClinicID.” ClinicID is a unique identifier for each clinic that reported cycles. The Success Rates dataset contains success rates for ART cycles started during the year indicated. Since ART success depends on whether patients are using their own eggs or donor eggs, success rates are included separately for these two groups. Success rates for patients using their own eggs are shown per intended retrieval, per actual retrieval, and per transfer. These success rates are reported as cumulative success rates, which take into account transfers that occur within 1 year after an egg retrieval. Since ART success depends on whether patients are using ART for the first time or had prior ART cycles, users can examine success rates for all “Patients using their own eggs” or for “Patients with no prior ART using their own eggs.” For new patients using ART for the first time, the success rates are also shown after 1, 2, or all intended egg retrievals during the reporting year. In addition, the average number of transfers per intended retrieval and the average number of intended retrievals per live-birth delivery are shown. Success rates for ART cycles that involve the transfer of embryos created from donor eggs or donated embryos are shown and are not cumulative. They are based on donor cycles started in the year indicated that had embryo transfers, regardless of when the donor eggs were retrieved. Success rates in this section are not presented by patient age group because previous data show that an intended parent’s age does not substantially affect success when using donor eggs or donated embryos. The success rates are presented by types of embryos and eggs used in the transfer. This dataset excludes cycles that were considered research—that is, cycles performed to evaluate new procedures.
National Youth in Transition Database Data Briefs

These short reports summarize findings from State NYTD data submissions compiled by the Children's Bureau.

National Youth in Transition Database Data Brief #1National Youth in Transition Database Data Brief #2National Youth in Transition Database Data Brief #3National Youth in Transition Database Data Brief #4 (PDF)National Youth in Transition Database Data Brief #5National Youth in Transition Database Data Brief #6National Youth in Transition Database Data Brief #7

National Youth in Transition Services and Outcomes Reports

These reports highlight information on key elements from State NYTD data submissions compiled by the Children’s Bureau.

Metadata-only record linking to the original dataset. Open original dataset below.
Compound 529303: 3-Isopropenyl-2,5-dimethyl-3,4-hexadien-2-ol

Chemical compound data from PubChem database. IUPAC Name: 2,5-dimethyl-3-prop-1-en-2-ylhexa-3,4-dien-2-ol. Molecular Formula: C11H18O. Molecular Weight: 166.26. This dataset contains comprehensive chemical information including structural data, physical properties, and biological activities. Useful for drug discovery, chemical research, and educational purposes.
Compound 530666: 4-Butylbenzoic acid, 2-methyloct-5-yn-4-yl ester

Chemical compound data from PubChem database. IUPAC Name: 2-methyloct-5-yn-4-yl 4-butylbenzoate. Molecular Formula: C20H28O2. Molecular Weight: 300.4. This dataset contains comprehensive chemical information including structural data, physical properties, and biological activities. Useful for drug discovery, chemical research, and educational purposes.
Action Transmittal (AT-81-01)

This Action Transmittal (AT) provides information on:

(1) New Approved Annual budget Request Form for Child Welfare Services, Title IV-B (CWS-101)
(2) Tentative Allotment for Submittal of CWS-101 for FY 81 Funds for Title IV-B

Metadata-only record linking to the original dataset. Open original dataset below.
Patent AT-E401122-T1: [Translated] METHOD FOR MEASURING BACK PRESSURE IN CHEMICAL REACTION TUBES

A device for measuring the gas flow through chemical reactor tubes, comprising: a wand including a frame member and a plurality of tubular members fixed on said frame member, each of said tubular members defining an internal gas path in communication with a test gas path for inserting test gas into a chemical reactor tube; a pressure sensor associated with said wand which measures the pressure in said internal gas path; a means for transmitting the pressure measurement for a specific chemical reactor tube electronically from said pressure sensor to a remote location; a means for receiving said pressure measurement at said remote location; and display means for graphically displaying the layout of the tubes and the pressure data as it is being collected.
Compound 528062: Ner-Leu, TBDMS

Chemical compound data from PubChem database. IUPAC Name: [tert-butyl(dimethyl)silyl] 2-[[tert-butyl(dimethyl)silyl]amino]hexanoate. Molecular Formula: C18H41NO2Si2. Molecular Weight: 359.7. This dataset contains comprehensive chemical information including structural data, physical properties, and biological activities. Useful for drug discovery, chemical research, and educational purposes.
Compound 530197: Indole-3-carboxylic acid, TMS

Chemical compound data from PubChem database. IUPAC Name: trimethylsilyl 1-trimethylsilylindole-3-carboxylate. Molecular Formula: C15H23NO2Si2. Molecular Weight: 305.52. This dataset contains comprehensive chemical information including structural data, physical properties, and biological activities. Useful for drug discovery, chemical research, and educational purposes.
Meta-analysis: Neither quick nor easy

Background
          Meta-analysis is often considered to be a simple way to summarize the existing literature. In this paper we describe how a meta-analysis resembles a conventional study, requiring a written protocol with design elements that parallel those of a record review.
        
        
          Methods
          The paper provides a structure for creating a meta-analysis protocol. Some guidelines for measurement of the quality of papers are given. A brief overview of statistical considerations is included. Four papers are reviewed as examples. The examples generally followed the guidelines we specify in reporting the studies and results, but in some of the papers there was insufficient information on the meta-analysis process.
        
        
          Conclusions
          Meta-analysis can be a very useful method to summarize data across many studies, but it requires careful thought, planning and implementation.
Patent AT-E400497-T1: [Translated] STRUCTURAL ELEMENT FOR AN AIRCRAFT

The structural element for the floor in an aircraft fuselage (2) has a passive component (3), as the lateral carrier to support the floor, and active piezo electric ceramics (20-22) to pass controlled forces into the passive component. A control (31), with an electronic measurement and evaluation function, is electrically connected (24-26) to the piezo electric ceramics, to pass voltage signals for them to expand or contract (27-30) according to the forces on the fuselage floor as the aircraft maneuvers in flight.
Compound 529096: 4H-Pyrido[1,2-a]pyrimidin-4-one, 6,7,8,9-tetrahydro, 3-methyl

Chemical compound data from PubChem database. IUPAC Name: 3-methyl-6,7,8,9-tetrahydropyrido[1,2-a]pyrimidin-4-one. Molecular Formula: C9H12N2O. Molecular Weight: 164.2. This dataset contains comprehensive chemical information including structural data, physical properties, and biological activities. Useful for drug discovery, chemical research, and educational purposes.
Impaired Driving Death Rate, by Age and Sex, 2012 & 2014, Region 10 - Seattle

Rate of deaths by age/gender (per 100,000 population) for people killed in crashes involving a driver with BAC =>0.08%, 2012, 2014. 2012 Source: Fatality Analysis Reporting System (FARS). 2014 Source: National Highway Traffic Administration's (NHTSA) Fatality Analysis Reporting System (FARS), 2014 Annual Report File. Note: Blank cells indicate data are suppressed. Fatality rates based on fewer than 20 deaths are suppressed.
Hawaii (HI)

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 Hawaii for five age groups: 12 to 17, 18 to 25, 26 or older, 18 or older and all persons 12 or older.
Characterisation and expression of a PP1 serine/threonine protein phosphatase (PfPP1) from the malaria parasite,

Background
          Reversible protein phosphorylation is relatively unexplored in the intracellular protozoa of the Apicomplexa family that includes the genus Plasmodium, to which belong the causative agents of malaria. Members of the PP1 family represent the most highly conserved protein phosphatase sequences in phylogeny and play essential regulatory roles in various cellular pathways. Previous evidence suggested a PP1-like activity in Plasmodium falciparum, not yet identified at the molecular level.
        
        
          Results
          We have identified a PP1 catalytic subunit from P. falciparum and named it PfPP1. The predicted primary structure of the 304-amino acid long protein was highly similar to PP1 sequences of other species, and showed conservation of all the signature motifs. The purified recombinant protein exhibited potent phosphatase activity in vitro. Its sensitivity to specific phosphatase inhibitors was characteristic of the PP1 class. The authenticity of the PfPP1 cDNA was further confirmed by mutational analysis of strategic amino acid residues important in catalysis. The protein was expressed in all erythrocytic stages of the parasite. Abrogation of PP1 expression by synthetic short interfering RNA (siRNA) led to inhibition of parasite DNA synthesis.
        
        
          Conclusions
          The high sequence similarity of PfPP1 with other PP1 members suggests conservation of function. Phenotypic gene knockdown studies using siRNA confirmed its essential role in the parasite. Detailed studies of PfPP1 and its regulation may unravel the role of reversible protein phosphorylation in the signalling pathways of the parasite, including glucose metabolism and parasitic cell division. The use of siRNA could be an important tool in the functional analysis of Apicomplexan genes.
Managed Care Individual Provider Network Data: December 31, 2012

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/.
Child Care and Development Fund (CCDF) Policies Database

The CCDF Policies Database is a source of information on the detailed policies used to operate child care subsidy programs under the Child Care and Development Fund (CCDF). Since 2008, the CCDF Policies Database has collected, coded, and disseminated the CCDF policies in effect across the 50 states, the District of Columbia, and U.S. territories and outlying areas, using consistent methods across places and over time. The information in the CCDF Policies Database is based primarily on the documents that caseworkers use as they work with families and providers, as well as the CCDF Plans and amendments submitted by States/Territories to ACF, state law, and regulations used by the staff operating the program. The Database captures detailed information on eligibility, family payments, application procedures, and provider-related policies, including dates of enactment and some of the policy variations that exist within states/territories. The database is updated and released annually and can be accessed via the Child and Family Data Archive and the project website. Users are encouraged to use the most recent release for the most accurate policy records. 

<b>Units of Response: </b>State, Territory 

<b>Type of Data: </b>Administrative 

<b>Tribal Data: </b>No 

<b>Periodicity: </b>Annual 

<b>Demographic Indicators: </b>Disability;Geographic Areas;Household Income;Household Size;Housing Status

<b>SORN: </b>Not Applicable 

<b>Data Use Agreement: </b>No 

<b>Data Use Agreement Location: </b>Not Applicable 

<b>Granularity: </b> County;State;US Territory; Region 

<b>Spatial: </b>States 

<b>Geocoding: </b> County;State;FIPS Code;Region;US Territory
Compound 526223: 1,2,3,4,7-Pentabromo-dibenzofuran

Chemical compound data from PubChem database. IUPAC Name: 1,2,3,4,7-pentabromodibenzofuran. Molecular Formula: C12H3Br5O. Molecular Weight: 562.7. This dataset contains comprehensive chemical information including structural data, physical properties, and biological activities. Useful for drug discovery, chemical research, and educational purposes.
Hospital Inpatient Discharges (SPARCS De-Identified): Patient Safety Indicators (PSI) by Hospital: Calendar Year 2015

The datasets contain hospital discharges counts (numerators, denominators, volume counts), observed, expected and risk-adjusted rates with corresponding 95% confidence intervals for Patient Safety Indicators generated using methodology developed by Agency for Healthcare Research and Quality (AHRQ).

The PSIs are a set of indicators providing information on potential in hospital complications and adverse events following surgeries, procedures, and childbirth. The PSIs were developed by AHRQ after a comprehensive literature review, analysis of ICD-9-CM codes, review by a clinician panel, implementation of risk adjustment, and empirical analyses.

All PSI measures were calculated using Statewide Planning and Research Cooperative System (SPARCS) inpatient data beginning 2009.  US Census data files provided by AHRQ were used to derive denominators for county level (area level) PSI measures.

The mortality, volume and utilization measures PSIs are presented by hospital as rates or counts. Area-level measures are presented by county as rates.
Patent AT-E401630-T1: [Translated] VOLUME MEASUREMENTS IN THREE-DIMENSIONAL DATA SETS

Volume measurement of for example a tumor in a 3D image dataset is an important and often performed task. The problem is to segment the tumor out of this volume in order to measure its dimensions. This problem is complicated by the fact that the tumors are often connected to vessels and other organs. According to the present invention, an automated method and corresponding device and computer software are provided, which analyze a volume of interest around a singled out tumor, and which, by virtue of a 3D distance transform and a region drawing scheme advantageously allow to automatically segment a tumor out of a given volume.
Adoption Data 2011

This page includes reports on state-specific adoption statistics for fiscal year 2011.

Receiving Adoption Subsidy: 10/1/2010 - 9/30/2011
Adoptive Family Structure: 10/1/2010 - 9/30/2011
Age at Adoption Finalization: 10/1/2010 - 9/30/2011
Prior Relationship of Adoptive Parent(s) to Child: 10/1/2010 - 9/30/2011
Race/Ethnicity of Public Agency Children Adopted: 10/1/2010 - 9/30/2011
Sex of Public Agency Children Adopted: 10/1/2010 - 9/30/2011
Child is Identified as a Special Needs Adoption: 10/1/2010 - 9/30/2011
Time between Termination of Parental Rights (TPR) and Adoption Finalization: 10/1/2010 - 9/30/2011

Metadata-only record linking to the original dataset. Open original dataset below.
2012 Uniform Reporting System (URS) Tables for New York

Center for Mental Health Services (CMHS) Uniform Reporting System (URS) Output Tables for 2012. 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.
AFCARS Report #11

This report provides preliminary estimaes of AFCARS data for FY 2004. Preliminary reports of AFCARS data include data received by September 30 for the report period ending March 31 and by March 31 for the report period ending September 30. This generally encompasses the required data submissions and submission of corrected data by States to avoid possible financial penalties.

Metadata-only record linking to the original dataset. Open original dataset below.
Compound 525553: Benzylidene-(4-ethoxyphenyl)-amine

Chemical compound data from PubChem database. IUPAC Name: N-(4-ethoxyphenyl)-1-phenylmethanimine. Molecular Formula: C15H15NO. Molecular Weight: 225.28. This dataset contains comprehensive chemical information including structural data, physical properties, and biological activities. Useful for drug discovery, chemical research, and educational purposes.
Compound 528802: 17-Hydroxy-13,17-dimethyl-1,2,4,5,6,7,8,9,10,11,12,14,15,16-tetradecahydrocyclopenta[a]phenanthren-3-one

Chemical compound data from PubChem database. IUPAC Name: 17-hydroxy-13,17-dimethyl-1,2,4,5,6,7,8,9,10,11,12,14,15,16-tetradecahydrocyclopenta[a]phenanthren-3-one. Molecular Formula: C19H30O2. Molecular Weight: 290.4. This dataset contains comprehensive chemical information including structural data, physical properties, and biological activities. Useful for drug discovery, chemical research, and educational purposes.
Drug interaction: Omeprazole and Phenprocoumon

Background
          Oral anticoagulants like the coumarin derivatives are characterised by a particularly narrow therapeutic range. Any interfering co-medication can pose a challenge to establishing a stable anticoagulant dosage regimen and thus present a serious risk for the patient. Here we describe two cases of patients on anticoagulant therapy that suggest possible drug interactions between phenprocoumon and the proton pump inhibitor omeprazole.
        
        
          Results
          In both patients, the International Normalised Ratio (INR) increased beyond the therapeutic range after they were given omeprazole for the treatment of gastrointestinal symptoms. The INR returned to therapeutic levels after the phenprocoumon dose was reduced (Case 1) and omeprazole discontinued (Case 2).
        
        
          Conclusions
          The increased anticoagulant activity of phenprocoumon observed in the two described cases and the known interaction potential of omeprazole suggest that the clearance of phenprocoumon may have been reduced due to competitive inhibition of its degradation by omeprazole. Drug interactions may be one of the reasons for the difficulties encountered with some patients in establishing a stable anticoagulant therapy. Physicians should carefully review any concurrently used medication and if possible opt for drugs with a low interaction potential.
Compound 527023: N-(1-methylpiperidin-4-yl)-N-phenylbutanamide

Chemical compound data from PubChem database. IUPAC Name: N-(1-methylpiperidin-4-yl)-N-phenylbutanamide. Molecular Formula: C16H24N2O. Molecular Weight: 260.37. This dataset contains comprehensive chemical information including structural data, physical properties, and biological activities. Useful for drug discovery, chemical research, and educational purposes.
CDC WONDER: Mortality - Infant Deaths

<p>The Mortality - Infant Deaths (from Linked Birth / Infant Death Records) online databases on CDC WONDER provide counts and rates for deaths of children under 1 year of age, occuring within the United States to U.S. residents. Information from death certificates has been linked to corresponding birth certificates. Data are available by county of mother's residence, child's age, underlying cause of death, sex, birth weight, birth plurality, birth order, gestational age at birth, period of prenatal care, maternal race and ethnicity, maternal age, maternal education and marital status. Data are available since 1995. The data are produced by the National Center for Health Statistics.</p>