AndreaBozzo/ceres-open-data-index huggingface dataset:
Compound 528193: 1,2-Propanediol, 3-(3,4-methylenedioxyphenyl), DTBS

Chemical compound data from PubChem database. IUPAC Name: 4-(1,3-benzodioxol-5-yloxy)-2,2-ditert-butyl-1,3,2-dioxasilolane. Molecular Formula: C17H26O5Si. Molecular Weight: 338.5. This dataset contains comprehensive chemical information including structural data, physical properties, and biological activities. Useful for drug discovery, chemical research, and educational purposes.
NNDSS - TABLE 1G. Carbapenemase-producing carbapenem-resistant Enterobacteriaceae to Chancroid

NNDSS - Table 1G. Carbapenemase-producing carbapenem-resistant Enterobacteriaceae to Chancroid - 2019. 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 — CDC does not have data because of changes in how conditions are categorized.
Cum: Cumulative year-to-date counts.
Max: Maximum — Maximum case count during the previous 52 weeks.
* Case counts for reporting years 2018 and 2019 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 US, a US territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-US Residents' category. 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). 
§ Reporting jurisdictions were informed CDC could receive data for this condition in August 2019. Please note there will be a delay in reporting of case notifications for this condition to CDC.
Compound 525895: N,N-Dimethyl-N'-benzyl-pivalamidine

Chemical compound data from PubChem database. IUPAC Name: N'-benzyl-N,N,2,2-tetramethylpropanimidamide. Molecular Formula: C14H22N2. Molecular Weight: 218.34. This dataset contains comprehensive chemical information including structural data, physical properties, and biological activities. Useful for drug discovery, chemical research, and educational purposes.
Compound 527576: Cyclohexene, 4-iodo-5-methyl

Chemical compound data from PubChem database. IUPAC Name: 4-iodo-5-methylcyclohexene. Molecular Formula: C7H11I. Molecular Weight: 222.07. This dataset contains comprehensive chemical information including structural data, physical properties, and biological activities. Useful for drug discovery, chemical research, and educational purposes.
Screening for sequence-specific RNA-BPs by comprehensive UV crosslinking

Background
          Specific cis-elements and the associated trans-acting factors have been implicated in the post-transcriptional regulation of gene expression. In the era of genome wide analyses identifying novel trans-acting factors and cis-regulatory elements is a step towards understanding coordinated gene expression. UV-crosslink analysis is a standard method used to identify RNA-binding proteins. Uridine is traditionally used to radiolabel substrate RNAs, however, proteins binding to cis-elments particularly uridine poor will be weakly or not detected. We evaluate here the possibility of using UV-crosslinking with RNA substrates radiolabeled with each of the four ribonucleotides as an approach for screening for novel sequence specific RNA-binding proteins.
        
        
          Results
          The radiolabeled RNA substrates were derived from the 3'UTRs of the cloned Eg and c-mos Xenopus laevis maternal mRNAs. Specific, but not identical, uv-crosslinking signals were obtained, some of which corresponded to already identified proteins. A signal for a novel 90 kDa protein was observed with the c-mos 3'UTR radiolabeled with both CTP and GTP but not with UTP. The binding site of the 90 kDa RNA-binding protein was localised to a 59-nucleotide portion of the c-mos 3'UTR.
        
        
          Conclusion
          That the 90 kDa signal was detected with RNAs radiolabeled with CTP or GTP but not UTP illustrates the advantage of radiolabeling all four nucleotides in a UV-crosslink based screen. This method can be used for both long and short RNAs and does not require knowledge of the cis-acting sequence. It should be amenable to high throughput screening for RNA binding proteins.
Climate Shield Bull Trout (50% Brook Trout), 1980 (Feature Layer)

This feature class represents the historical (1970-1999) scenario for bull trout, derived from the Climate Shield fish distribution models. These models provide stream-specific probabilistic predictions about the occurrence of juvenile bull trout and cutthroat trout in association with three different scenarios for climate change and brook trout invasions. These datasets indicate all potential cold-water habitats less than 11 degrees Celsius. The attribute fields BT_0BRK - BT_100BRK indicate the probabilities of bull trout occurrence within a cold-water habitat based on the prevalence of brook trout at 0%, 25%, 50%, 75%, or 100% of the sites within a habitat. The probabilities were predicted using the Climate Shield native trout models developed from known species occurrence in greater than 500 cold-water streams. The stream centerlines were based on the National Hydrography Dataset (NHD) but were modified for purposes of modeling and cross-walking to other datasets.
Patent AT-E399612-T1: [Translated] METHOD AND DEVICE FOR CUTTING A MATERIAL

An apparatus is disclosed for cutting target material which includes a housing having an inner cavity and an elongated nozzle extending from the inner cavity to communicate with the exterior of the housing. The apparatus is provided with a charge for generating a cutting flame and an activating device coupled to the charge. A method for cutting target material is also provided in which the cutting apparatus has an elongated nozzle positioned generally adjacent to a surface of a target material to be cut. The cutting apparatus may be joined with one or more housings to provide a ganged together or joined cutting apparatus. The effect of this ganged cutting apparatus is to provide an extended linear cutting action on the surface of the target material. In addition, in an opposed cutting apparatus, two housings are positioned with their nozzle channels in opposition to permit cutting target material from two directions.
Opioid Excise Tax Annual Report: 2024

Article 20-D of New York State Tax Law establishes an excise tax on the sale of opioids. In compliance with the Opioid Tax, each registrant (e.g., manufacturer, wholesaler, or outsourcing facility) shall provide a report to the Department of Health detailing all opioid transactions into or within New York State. For addtional information visit: <a href=https://www.tax.ny.gov/bus/oet/oetidx.htm>https://www.tax.ny.gov/bus/oet/oetidx.htm </a>
Compound 527264: 2,2,2-Trichloroethyl pentanoate

Chemical compound data from PubChem database. IUPAC Name: 2,2,2-trichloroethyl pentanoate. Molecular Formula: C7H11Cl3O2. Molecular Weight: 233.5. This dataset contains comprehensive chemical information including structural data, physical properties, and biological activities. Useful for drug discovery, chemical research, and educational purposes.
Compound 528168: 1,3-Cyclopentadiene, 1-hexyl

Chemical compound data from PubChem database. IUPAC Name: 1-hexylcyclopenta-1,3-diene. Molecular Formula: C11H18. Molecular Weight: 150.26. This dataset contains comprehensive chemical information including structural data, physical properties, and biological activities. Useful for drug discovery, chemical research, and educational purposes.
Compound 529380: 1,2,4-Trithiolane, 5-ethenyl-3-ethyl

Chemical compound data from PubChem database. IUPAC Name: 3-ethenyl-5-ethyl-1,2,4-trithiolane. Molecular Formula: C6H10S3. Molecular Weight: 178.3. This dataset contains comprehensive chemical information including structural data, physical properties, and biological activities. Useful for drug discovery, chemical research, and educational purposes.
Evaluation of normalization procedures for oligonucleotide array data based on spiked cRNA controls

Background
          Affymetrix oligonucleotide arrays simultaneously measure the abundances of thousands of mRNAs in biological samples. Comparability of array results is necessary for the creation of large-scale gene expression databases. The standard strategy for normalizing oligonucleotide array readouts has practical drawbacks. We describe alternative normalization procedures for oligonucleotide arrays based on a common pool of known biotin-labeled cRNAs spiked into each hybridization.
        
        
          Results
          We first explore the conditions for validity of the 'constant mean assumption', the key assumption underlying current normalization methods. We introduce 'frequency normalization', a 'spike-in'-based normalization method which estimates array sensitivity, reduces background noise and allows comparison between array designs. This approach does not rely on the constant mean assumption and so can be effective in conditions where standard procedures fail. We also define 'scaled frequency', a hybrid normalization method relying on both spiked transcripts and the constant mean assumption while maintaining all other advantages of frequency normalization. We compare these two procedures to a standard global normalization method using experimental data. We also use simulated data to estimate accuracy and investigate the effects of noise. We find that scaled frequency is as reproducible and accurate as global normalization while offering several practical advantages.
        
        
          Conclusions
          Scaled frequency quantitation is a convenient, reproducible technique that performs as well as global normalization on serial experiments with the same array design, while offering several additional features. Specifically, the scaled-frequency method enables the comparison of expression measurements across different array designs, yields estimates of absolute message abundance in cRNA and determines the sensitivity of individual arrays.
Minneapolis: Drug-Related Emergency Department Visits, 2004-2011 - All Misuse and Abuse

Excel file with estimates, rates, relative standard errors, trends and confidence intervals for all drug-related emergency department (ED) visits involving drug misuse or abuse in the Minneapolis metropolitan area, covering 2004-2011. Drug misuse/abuse visits include the use of illicit drugs, nonmedical use of pharmaceuticals, underage drinking and visits where alcohol was combined with another drug.
Compound 527027: 1,4a-Dimethyl-7-propan-2-yl-2,3,4,4b,5,6,10,10a-octahydrophenanthrene-1-carbaldehyde

Chemical compound data from PubChem database. IUPAC Name: 1,4a-dimethyl-7-propan-2-yl-2,3,4,4b,5,6,10,10a-octahydrophenanthrene-1-carbaldehyde. Molecular Formula: C20H30O. Molecular Weight: 286.5. This dataset contains comprehensive chemical information including structural data, physical properties, and biological activities. Useful for drug discovery, chemical research, and educational purposes.
Nationwide Commercial Laboratory Seroprevalence Survey

CDC is working with commercial laboratories to conduct large-scale geographic seroprevalence surveys to estimate the percentage of people who were previously infected with SARS-CoV-2, the virus that causes COVID-19 disease. The strategy involves working with state, local, territorial, academic, and commercial partners to better understand COVID-19 in the United States using serology (antibody) testing for surveillance (“seroprevalence surveys” or “serosurveys”). For the surveys, de-identified clinical blood samples are tested for antibodies to SARS-CoV-2.

This dataset contains the data used to by the Nationwide Commercial Laboratory Seroprevalence Survey interactive visualization available at <a href="https://covid.cdc.gov/covid-data-tracker/#national-lab">https://covid.cdc.gov/covid-data-tracker/#national-lab</a>.

Additional information is available at <a href="https://www.cdc.gov/coronavirus/2019-ncov/cases-updates/commercial-lab-surveys.html">https://www.cdc.gov/coronavirus/2019-ncov/cases-updates/commercial-lab-surveys.html</a>.
Compound 528400: Butanamine, 3-methyl-N-ethylidene

Chemical compound data from PubChem database. IUPAC Name: N-(3-methylbutyl)ethanimine. Molecular Formula: C7H15N. Molecular Weight: 113.2. This dataset contains comprehensive chemical information including structural data, physical properties, and biological activities. Useful for drug discovery, chemical research, and educational purposes.
2013 NSDUH Data Collection Final Report

NSDUH is funded by the Substance Abuse and Mental Health Services Administration (SAMHSA), an agency of the U.S. Public Health Service in the U.S. Department of Health and Human Services. SAMHSA contracted with RTI Internationalto conduct activities including sampling, counting and listing, screening, interviewing, data processing, and reporting. This report examines the preparations and procedures used in carrying out the data collection tasks and also presents the results of data collection.  This report addresses the following topics relating to data collection for the 2013 NSDUH: Sampling and Counting and Listing Operations, Data Collection Staffing, Preparation of Survey Materials, Field Staff Training, Data Collection, Data Collection Results, and Quality Control.
Patent AT-E401384-T1: [Translated] LUBRICANT OIL COMPOSITIONS CONTAINING MOLYBDENUM, SULFUR AND BORON

This invention relates to a lubricating oil composition, comprising:(A) a base oil;(B) a molybdenum and sulfur containing composition derived from a basic nitrogen containing compound, a molybdenum compound and carbon disulfide;(C) a boron-containing compound; and(D) optionally a phosphorus containing compound, provided the phosphorus content of the lubricating oil composition does not exceed about 0.10% by weight.
2022 NSDUH Detailed Tables

Get detailed national estimates from the 2022 National Survey on Drug Use and Health (NSDUH). The tables provide comprehensive statistics on substance use, mental health, and treatment in the United States.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 treatment; and co-occurrence of mental health issues and SUDs.The tables include estimates from 2021 and 2022 where appropriate, including statistical tests of differences between the two years. The 2021 estimates presented in these detailed tables are based on weights that were adjusted to allow for comparison with 2022. As a result, the NSDUH estimates for 2021 presented in the 2022 Detailed Tables may be different from the 2021 estimates previously published elsewhere. For more information on the creation of the revised weights for 2021, see the2022 Methodological Summary and Definitionsreport.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
National Survey of Children’s Health (NSCH) – Vision and Eye Health Surveillance

2016-17 merged. This dataset is a de-identified summary table of vision and eye health data indicators from the National Survye of Chilrens Health (NSCH), stratified by all available combinations of age group, race/ethnicity, gender, risk factor and state. NSCH is a telephone survey conducted by the National Center for Health Statistics at CDC (currently conducted by the U.S. Census Bureau) that examines the physical and emotional health of children 0-17 years of age. Approximate sample size is 95,000 over two rounds of data collection. Data were suppressed for cell sizes less than 30 persons, or where the relative standard error more than 30% of the mean. Detailed information on VEHSS NSCH analyses can be found on the VEHSS NSCH webpage (cdc.gov/visionhealth/vehss/data/national-surveys/national-survey-of-childrens-health.html). Additional information about NSCH can be found on the NSCH website (http://childhealthdata.org/learn/NSCH). The VEHSS NSCH dataset was last updated in November 2019.
Compound 526847: Acetic acid 3-acetoxy-5-methoxy-tetrahydro-pyran-4-yl ester

Chemical compound data from PubChem database. IUPAC Name: (4-acetyloxy-5-methoxyoxan-3-yl) acetate. Molecular Formula: C10H16O6. Molecular Weight: 232.23. This dataset contains comprehensive chemical information including structural data, physical properties, and biological activities. Useful for drug discovery, chemical research, and educational purposes.
Compound 530721: 2,6-Difluorobenzoic acid, but-3-yn-2-yl ester

Chemical compound data from PubChem database. IUPAC Name: but-3-yn-2-yl 2,6-difluorobenzoate. Molecular Formula: C11H8F2O2. Molecular Weight: 210.18. This dataset contains comprehensive chemical information including structural data, physical properties, and biological activities. Useful for drug discovery, chemical research, and educational purposes.
2013 NSDUH Miscellaneous Tables  (Prevalence Estimates) - 6.1 to 6.107

These detailed tables present totals and prevalence estimates of the number of days and types of substance use, poly-drug use, nicotine dependence, substance dependence by age of first use, source of substances, social context of substance use, and drunk/drugged driving from the 2013 National Survey on Drug Use and Health (NSDUH). Substances examined include illicit drugs, marijuana, cocaine, heroin, hallucinogens, inhalants, and the nonmedical use of prescription-type pain relievers, tranquilizers, stimulants, and sedatives, and alcohol. Results are provided for lifetime, past year, and past month use by age group, gender, race/ethnicity, education level, employment status, geographic area, pregnancy status, college enrollment status, and probation/parole status. Comparisons are made between 2013 and 2012.
Tacrolimus ointment 0.1%

Tacrolimus Ointment 0.1% is a prescription topical medication used to treat moderate to severe atopic dermatitis (eczema) in patients who haven't responded well to other treatments. It works by suppressing the immune response in the skin to reduce inflammation and itching. Apply a thin layer to affected areas twice daily, avoiding use on infected skin. Manufactured by Encube Ethicals, Inc., it's available in 30g, 60g, and 100g tubes. This information was generated using AI and is provided for informational and research purposes only.
Compound 525839: N,N-Dimethyl-N'-decyl-propionamidine

Chemical compound data from PubChem database. IUPAC Name: N'-decyl-N,N-dimethylpropanimidamide. Molecular Formula: C15H32N2. Molecular Weight: 240.43. This dataset contains comprehensive chemical information including structural data, physical properties, and biological activities. Useful for drug discovery, chemical research, and educational purposes.
Compound 527098: Fluoxetin, nor, acetyl

Chemical compound data from PubChem database. IUPAC Name: N-[3-phenyl-3-[4-(trifluoromethyl)phenoxy]propyl]acetamide. Molecular Formula: C18H18F3NO2. Molecular Weight: 337.3. This dataset contains comprehensive chemical information including structural data, physical properties, and biological activities. Useful for drug discovery, chemical research, and educational purposes.
C/EBPBeta and Elk-1 synergistically transactivate the

Background
          The serum response element (SRE) in the c-fos promoter is a convergence point for several signaling pathways that regulate induction of the c-fos gene. Many transcription factors regulate the SRE, including serum response factor (SRF), ternary complex factor (TCF), and CCAAT/enhancer binding protein-beta (C/EBPβ). Independently, the TCFs and C/EBPβ have been shown to interact with SRF and to respond to Ras-dependent signaling pathways that result in transactivation of the SRE. Due to these common observations, we addressed the possibility that C/EBPβ and Elk-1 could both be necessary for Ras-stimulated transactivation of the SRE.
        
        
          Results
          In this report, we demonstrate that Elk-1 and C/EBPβ functionally synergize in transactivation of both a Gal4 reporter plasmid in concert with Gal4-SRF and in transactivation of the SRE. Interestingly, this synergy is only observed upon activation of Ras-dependent signaling pathways. Furthermore, we show that Elk-1 and C/EBPβ could interact both in an in vitro GST-pulldown assay and in an in vivo co-immunoprecipitation assay. The in vivo interaction between the two proteins is dependent on the presence of activated Ras. We have also shown that the C-terminal domain of C/EBPβ and the N-terminal domain of Elk-1 are necessary for the proteins to interact.
        
        
          Conclusions
          These data show that C/EBPβ and Elk-1 synergize in SRF dependent transcription of both a Gal-4 reporter and the SRE. This suggests that SRF, TCF, and C/EBPβ are all necessary for maximal induction of the c-fos SRE in response to mitogenic signaling by Ras.