AndreaBozzo/ceres-open-data-index huggingface dataset:
Vaccine Hesitancy for COVID-19: Public Use Microdata Areas (PUMAs)

Due to the change in the survey instrument regarding intention to vaccinate, our estimates for “hesitant or unsure” or “hesitant” derived from April 14-26, 2021, are not directly comparable with prior Household Pulse Survey data and should not be used to examine trends in hesitancy.

To support state and local communication and outreach efforts, ASPE developed state, county, and sub-state level predictions of hesitancy rates(https://aspe.hhs.gov/pdf-report/vaccine-hesitancy) using the most recently available federal survey data.

We estimate hesitancy rates at the state level using the U.S. Census Bureau’s Household Pulse Survey (HPS)(https://www.census.gov/programs-surveys/household-pulse-survey.html) data and utilize the estimated values to predict hesitancy rates in more granular areas using the Census Bureau’s 2019 American Community Survey (ACS) 1-year Public Use Microdata Sample (PUMS)(https://www.census.gov/programs-surveys/acs/microdata.html). Public Use Microdata Areas (PUMA) level – PUMAs are geographic areas within each state that contain no fewer than 100,000 people. PUMAs can consist of part of a single densely populated county or can combine parts or all of multiple counties that are less densely populated.

The HPS is nationally representative and includes information on U.S. residents’ intentions to receive the COVID-19 vaccine when available, as well as other sociodemographic and geographic (state, region and metropolitan statistical areas) information. The ACS is a nationally representative survey, and it provides key sociodemographic and geographic (state, region, PUMAs, county) information. We utilized data for the survey collection period May 26, 2021 – June 7, 2021, which the HPS refers to as Week 31.


County and State Hesitancy Data - https://data.cdc.gov/Vaccinations/Vaccine-Hesitancy-for-COVID-19-County-and-local-es/q9mh-h2tw
Patent AT-E401761-T1: [Translated] CONTROL SYSTEM FOR SEVERAL LAMP OPERATING DEVICES TO BE ARRANGED IN A DISTRIBUTION AND METHOD FOR COMMISSIONING SUCH A CONTROL SYSTEM

The system has a central control unit (5) that stands in contact with lamp operating devices (10-1-10-4) by a bus line system, where the devices are non-dimmable. Gas discharge lamps (LA) assigned to the lamp operating devices are switched off in a standby state. A control unit (12) of each lamp operating device is activated for identifying the devices that are assigned to the lamps during programming mode. An independent claim is also included for a method of implementing a control system for lamp operating devices that are distributedly arranged and that are utilized for operating gas discharge lamps.
Compound 527160: 2aS,3aR,5aS,9bR)-2a,5a,9-Trimethyl-2a,4,5,5a,6,7,8,9b-octahydro-2H-naphtho[1,2-b]oxireno[2,3-c]furan

Chemical compound data from PubChem database. IUPAC Name: 4,8,13-trimethyl-11,14-dioxatetracyclo[8.4.0.01,13.04,9]tetradec-8-ene. Molecular Formula: C15H22O2. Molecular Weight: 234.33. This dataset contains comprehensive chemical information including structural data, physical properties, and biological activities. Useful for drug discovery, chemical research, and educational purposes.
Compound 530108: Nonadecane, 9-ethyl-10-methyl

Chemical compound data from PubChem database. IUPAC Name: 9-ethyl-10-methylnonadecane. Molecular Formula: C22H46. Molecular Weight: 310.6. This dataset contains comprehensive chemical information including structural data, physical properties, and biological activities. Useful for drug discovery, chemical research, and educational purposes.
2010-2011 estimated totals (in thousands) for persons aged 12 or older, 12 to 17, 18 to 25, 26 or older, and 18 or older (26 tables)

This report presents State 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). Results are provided by age group.
2015 CMHS Uniform Reporting System (URS) Table for Alabama

2015 Center for Mental Health Services (CMHS) Uniform Reporting System (URS) Output Tables for Alabama. 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.
National Youth Survey US:  Wave II (NYS-1977)

<p>Youth data for the second wave of the National Youth Survey<br />
are contained in this data collection. The first wave was conducted in<br />
1976. Youths were interviewed in early 1978 about events<br />
and behavior that had occurred in 1977. Data were collected on<br />
demographic and socioeconomic status of respondents, aspirations,<br />
social isolation, normlessness, labeling, attitudes toward deviance,<br />
exposure to delinquent peers, commitment to delinquent peers, sex<br />
roles, interpersonal violence, exposure to substance abuse,<br />
self-reported delinquency, drug and alcohol use, and victimization.This study has 1 Data Set.</p>
Compound 528493: Heneicosane, 2,6,10,15-tetramethyl

Chemical compound data from PubChem database. IUPAC Name: 2,6,10,15-tetramethylhenicosane. Molecular Formula: C25H52. Molecular Weight: 352.7. This dataset contains comprehensive chemical information including structural data, physical properties, and biological activities. Useful for drug discovery, chemical research, and educational purposes.
California 2016 Potential Areas for Addressing Service Gaps for Opioid Treatment

The purpose of the medication-assisted treatment (MAT) facility maps is to identify areas on a state-by-state basis that may be potentially underserved by existing treatment facilities. The maps are created with a methodology that seeks to include the highest potential need areas from individual counties so that county-level stakeholders are also informed. The maps are meant to be used as a tool for policy makers to determine potentially underserved areas—not as a definitive representation of these areas.
Medi-Cal Managed Care Capitation Rates – Regional Model/Rural Expansion

This dataset displays reimbursement rates paid to Medi-Cal Managed Care health plans in the Regional model, by State Fiscal Year. The Regional Model serves beneficiaries in 28 rural counties: Alpine, Amador, Butte, Calaveras, Colusa, Del Norte, El Dorado, Glenn, Humboldt, Inyo, Imperial, Lake, Lassen, Mariposa, Mendocino, Modoc, Mono, Nevada, Placer, Plumas, San Benito, Sierra, Siskiyou, Sutter, Tehama, Trinity, Tuolumne, and Yuba. The Department of Health Care Services (DHCS) contracts with two Commercial plans to provide services in each county. San Benito is the only exception where beneficiaries can choose either the managed care plan or (fee-for-service) Medi-Cal.
Bacterial discrimination by means of a universal array approach mediated by LDR (ligase detection reaction)

Background
          PCR amplification of bacterial 16S rRNA genes provides the most comprehensive and flexible means of sampling bacterial communities. Sequence analysis of these cloned fragments can provide a qualitative and quantitative insight of the microbial population under scrutiny although this approach is not suited to large-scale screenings. Other methods, such as denaturing gradient gel electrophoresis, heteroduplex or terminal restriction fragment analysis are rapid and therefore amenable to field-scale experiments. A very recent addition to these analytical tools is represented by microarray technology.
        
        
          Results
          Here we present our results using a Universal DNA Microarray approach as an analytical tool for bacterial discrimination. The proposed procedure is based on the properties of the DNA ligation reaction and requires the design of two probes specific for each target sequence. One oligo carries a fluorescent label and the other a unique sequence (cZipCode or complementary ZipCode) which identifies a ligation product. Ligated fragments, obtained in presence of a proper template (a PCR amplified fragment of the 16s rRNA gene) contain either the fluorescent label or the unique sequence and therefore are addressed to the location on the microarray where the ZipCode sequence has been spotted. Such an array is therefore "Universal" being unrelated to a specific molecular analysis. Here we present the design of probes specific for some groups of bacteria and their application to bacterial diagnostics.
        
        
          Conclusions
          The combined use of selective probes, ligation reaction and the Universal Array approach yielded an analytical procedure with a good power of discrimination among bacteria.
Compound 528636: Butanoic acid, 2,2-dimethyl-3-[(trimethylsilyl)oxy]-, trimethylsilyl ester

Chemical compound data from PubChem database. IUPAC Name: trimethylsilyl 2,2-dimethyl-3-trimethylsilyloxybutanoate. Molecular Formula: C12H28O3Si2. Molecular Weight: 276.52. 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-E401073-T1: [Translated] CYCLOALKYL-LACTAM DERIVATIVES AS INHIBITORS OF 11-BETA-HYDROXYSTEROIDDEHYDROGENASE 1

The present invention provides compounds of formula I that are useful as potent and selective inhibitors of 11-beta hydroxysteroid dehydrogenase 1. The present invention further provides a pharmaceutical composition which comprises a compound of Formula I, or a pharmaceutical salt thereof, and a pharmaceutically acceptable carrier, diluent, or excipient. In addition, the present invention provides compositions comprising compounds of formula I for the treatment of metabolic syndrome, diabetes, hyperglycemia, obesity, hypertension, hyperlipidemia, other symptoms associated with hyperglycemia, and related disorders. Formula (I) wherein, R0 is (II), or (III) G1 is methylene or ethylene; L is a divalent linking group selected from —(C1-C4) alkylene-, —S—, —CH(OH)—, or —O—; A is methylene, —S—, —O—, or —NH—; and the other substituents are as defined in the claims.
Compound 526379: 1,2-Dibromo,7,9-dichloro-dibenzo-dioxin

Chemical compound data from PubChem database. IUPAC Name: 1,2-dibromo-7,9-dichlorodibenzo-p-dioxin. Molecular Formula: C12H4Br2Cl2O2. Molecular Weight: 410.9. This dataset contains comprehensive chemical information including structural data, physical properties, and biological activities. Useful for drug discovery, chemical research, and educational purposes.
The molecular genetic linkage map of the model legume

Background
          The legume Medicago truncatula has emerged as a model plant for the molecular and genetic dissection of various plant processes involved in rhizobial, mycorrhizal and pathogenic plant-microbe interactions. Aiming to develop essential tools for such genetic approaches, we have established the first genetic map of this species. Two parental homozygous lines were selected from the cultivar Jemalong and from the Algerian natural population (DZA315) on the basis of their molecular and phenotypic polymorphism.
        
        
          Results
          An F2 segregating population of 124 individuals between these two lines was obtained using an efficient manual crossing technique established for M. truncatula and was used to construct a genetic map. This map spans 1225 cM (average 470 kb/cM) and comprises 289 markers including RAPD, AFLP, known genes and isoenzymes arranged in 8 linkage groups (2n = 16). Markers are uniformly distributed throughout the map and segregation distortion is limited to only 3 linkage groups. By mapping a number of common markers, the eight linkage groups are shown to be homologous to those of diploid alfalfa (M. sativa), implying a good level of macrosynteny between the two genomes. Using this M. truncatula map and the derived F3 populations, we were able to map the Mtsym6 symbiotic gene on linkage group 8 and the SPC gene, responsible for the direction of pod coiling, on linkage group 7.
        
        
          Conclusions
          These results demonstrate that Medicago truncatula is amenable to diploid genetic analysis and they open the way to map-based cloning of symbiotic or other agronomically-important genes using this model plant.
2018 NSDUH Detailed Tables

Get detailed national estimates from the 2017 and 2018 National Surveys on Drug Use and Health (NSDUH). The tables provide comprehensive statistics on substance use, mental health, and treatment in the United States. Longer-term trends are also available for select indicators.The tables are based on the NSDUH survey, which interviews people ages 12 or older in the civilian, noninstitutionalized population. In the tables, indicators are broken out by a variety of demographic, geographic, and economic variables.The following topics are covered, among others: drug, alcohol, nicotine, and tobacco product use and initiation; substance use disorder (SUD); substance use risk and protective factors; availability of substance use treatment; any mental illness (AMI) and serious mental illness (SMI); major depressive episode (MDE); suicidal thoughts and behaviors; serious psychological distress (SPD); mental health service utilization; treatment for depression; and co-occurrence of mental health issues and SUDs.All of the tables can be downloaded in a zip file which contains both an html and PDF file containing every table. Alternatively, users can open the clickable Table of Contents to go to a particular section. Click on “PE” to get to a population estimate or percentage table, and “SE” to get a standard error table.
Health Professional Shortage Areas - Dental Health

[<a href='https://files.hawaii.gov/dbedt/op/gis/data/hpsa.pdf' target='_blank' rel='nofollow ugc noopener noreferrer'>Metadata</a>]  Dental Health Professional Shortage Areas as of April 2024. Source - Hawaii State Department of Health. Description: Designation of Health Professional Shortage Areas for Dental Health. See also Mental Health and Primary Care Health Professional Shortage Areas. A Health Professional Shortage Area (HPSA) means any of the following which has a shortage of health professionals: (a) an urban or rural area which is a rational service area for the delivery of health services, (b) a population group, or (c) a public or nonprofit private medical facility. HPSAs are divided into three major categories according to the type of health professional shortage: primary care, dental or mental health HPSAs. For more information about HPSA’s, visit the Hawaii State Department of Health HPSA website at <a href='https://health.hawaii.gov/opcrh/home/health-professional-shortage-area-hpsa/' target='_blank' rel='nofollow ugc noopener noreferrer'>https://health.hawaii.gov/opcrh/home/health-professional-shortage-area-hpsa/</a>. Hawaii Statewide GIS Program staff downloaded data from <a href='https://data.hrsa.gov/data/download?hmpgtitle=hmpg-hrsa-data' target='_blank' rel='nofollow ugc noopener noreferrer'>https://data.hrsa.gov/data/download?hmpgtitle=hmpg-hrsa-data</a> April 2024.  Projected to UTM Zone 4 NAD 83 HARN, and clipped to coastline.  For additional information, please refer to summary metadata at <a href='https://files.hawaii.gov/dbedt/op/gis/data/hpsa.pdf' target='_blank' rel='nofollow ugc noopener noreferrer'>https://files.hawaii.gov/dbedt/op/gis/data/hpsa.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>.
Compound 526597: 2,3,4-Tri-O-acetyl-1,5-Anhydro-6-O-methyl-D-glucitol

Chemical compound data from PubChem database. IUPAC Name: [4,5-diacetyloxy-6-(methoxymethyl)oxan-3-yl] acetate. Molecular Formula: C13H20O8. Molecular Weight: 304.29. This dataset contains comprehensive chemical information including structural data, physical properties, and biological activities. Useful for drug discovery, chemical research, and educational purposes.
Elk Creek Seismic Waveforms 2012 (Part 20 of 20)

Coal bursts (damaging seismic events in underground coal mines) pose a substantial threat to operations and mine workers. The underground coal mines in Colorado’s North Fork Valley (NFV) have experienced many coal bursts, often with distinct characteristics from those of other US coal mining regions. To better understand these events and manage their associated risks, the National Institute for Occupational Safety and Health undertook a long-term monitoring campaign at the Elk Creek Mine in the NFV. The monitoring efforts included a seismic network composed of both surface and underground sensors, borehole pressure cells (BPCs), instrumented support Cans, convergence monitors, ground condition surveys, and several other data sources. This dataset consists of the event waveform files from the seismic network for the 983,379 events that were detected during the monitoring campaign. The waveforms are stored in HDF5 files that are broken up by week. Within the HDF5 files, the data are organized by station id, event time, and channel. The amplitudes are velocity in meters/second.
 
This is download 47 of 48 and corresponds to the time range between December 10, 2012, and December 31, 2012.
Gene trapping identifies transiently induced survival genes during programmed cell death

Background
          The existence of a constitutively expressed machinery for death in individual cells has led to the notion that survival factors repress this machinery and, if such factors are unavailable, cells die by default. In many cells, however, mRNA and protein synthesis inhibitors induce apoptosis, suggesting that in some cases transcriptional activity might actually impede cell death. To identify transcriptional mechanisms that interfere with cell death and survival, we combined gene trap mutagenesis with site-specific recombination (Cre/loxP system) to isolate genes from cells undergoing apoptosis by growth factor deprivation.
        
        
          Results
          From an integration library consisting of approximately 2 × 106 unique proviral integrations obtained by infecting the interleukin-3 (IL-3)-dependent hematopoietic cell line - FLOXIL3 - with U3Cre gene trap virus, we have isolated 125 individual clones that converted to factor independence upon IL-3 withdrawal. Of 102 cellular sequences adjacent to U3Cre integration sites, 17% belonged to known genes, 11% matched single expressed sequence tags (ESTs) or full cDNAs with unknown function and 72% had no match within the public databases. Most of the known genes recovered in this analysis encoded proteins with survival functions.
        
        
          Conclusions
          We have shown that hematopoietic cells undergoing apoptosis after withdrawal of IL-3 activate survival genes that impede cell death. This results in reduced apoptosis and improved survival of cells treated with a transient apoptotic stimulus. Thus, apoptosis in hematopoietic cells is the end result of a conflict between death and survival signals, rather than a simple death by default.
T-cell activation without proliferation in juvenile idiopathic arthritis

A study was done to determine if the differentiation and activation phenotype of T cells in synovial fluid (SF) from patients with juvenile idiopathic arthritis (JIA) is associated with T-cell proliferation in situ. Mononuclear cells were isolated from 44 paired samples of peripheral blood and SF. Differentiation and activation markers were determined on CD4 and CD8 T cells by flow cytometry. Cell-cycle analysis was performed by propidium iodide staining, and surface-marker expression was also assessed after culture of the T cells under conditions similar to those found in the synovial compartment. The majority of the T cells in the SF were CD45RO+CD45RBdull. There was greater expression of the activation markers CD69, HLA-DR, CD25 and CD71 on T cells from SF than on those from peripheral blood. Actively dividing cells accounted for less than 1% of the total T-cell population in SF. The presence or absence of IL-16 in T-cell cultures with SF or in a hypoxic environment did not affect the expression of markers of T-cell activation. T cells from the SF of patients with JIA were highly differentiated and expressed early and late markers of activation with little evidence of in situ proliferation. This observation refines and extends previous reports of the SF T-cell phenotype in JIA and may have important implications for our understanding of chronic inflammation.
Patent AT-E401458-T1: [Translated] PAVER FOR THE FLOOR INSTALLATION OF LAYERS FOR ROADS OR. DGL.

Finisher comprises a chassis (1), an inlet board (5) hinged via arms (6), a base board (7) and an outlet board (8). The angle of the inlet board can be adjusted via an adjusting cylinder (12). Hydraulic supporting cylinders (21) are arranged between the rear region of the chassis and the outlet board and/or board parts (9) of each side. The cylinders are impinged with an adjustable hydraulic pressure in the direction of the ground when the finisher is started up. <??>Preferred Features: The supporting cylinders are hinged on the chassis on the piston side and on each outlet board and/or the board parts on the piston rod side. The chassis has hooks (20) for a trailer.
Compound 525633: N,N-Dimethyl-N'-hexyl-p-methylbenzamidine

Chemical compound data from PubChem database. IUPAC Name: N'-hexyl-N,N,4-trimethylbenzenecarboximidamide. Molecular Formula: C16H26N2. Molecular Weight: 246.39. This dataset contains comprehensive chemical information including structural data, physical properties, and biological activities. Useful for drug discovery, chemical research, and educational purposes.
Plan ID Crosswalk PUF - PY2018

The Plan ID Crosswalk PUF (CW-PUF) is one of the files that make up the Marketplace PUF. The purpose of the CW-PUF is to map QHPs and SADPs offered through the Marketplaces in 2017 to plans that will be offered through the Marketplaces in 2018. These data either originate from the Plan Crosswalk template (i.e., template field), an Excel-based form used by issuers to describe their plans in the QHP application process, or were generated by CCIIO for use in data processing (i.e., system-generated).This data dictionary describes the variables contained in the CW-PUF. Each record relates to a mapping between a plan offered in 2017 and a plan offered in 2018 at the county or county-zip code level.
Compound 528627: Propanamide, 2-methyl-N-propyl

Chemical compound data from PubChem database. IUPAC Name: 2-methyl-N-propylpropanamide. Molecular Formula: C7H15NO. Molecular Weight: 129.2. This dataset contains comprehensive chemical information including structural data, physical properties, and biological activities. Useful for drug discovery, chemical research, and educational purposes.