AndreaBozzo/ceres-open-data-index huggingface dataset:
Transcriptome Shotgun Assembly (TSA) Sequence Database and Submissions

TSA is an archive of computationally assembled transcript sequences from primary data such as ESTs and Next Generation Sequencing Technologies. The overlapping sequence reads from a complete transcriptome are assembled into transcripts by computational methods instead of by traditional cloning and sequencing of cloned cDNAs. The primary sequence data used in the assemblies must have been experimentally determined by the same submitter. TSA sequence records differ from GenBank records because there are no physical counterparts to the assemblies.
Patent AT-E399963-T1: [Translated] DEVICE FOR CONTROLLING THE QUANTITIES OF FUEL AND DISPERSANT SUPPLIED WITH A BURNER

The invention relates to an apparatus for controlling the amounts of fuel and dispersing agent to be supplied to a burner. The apparatus comprises a first valve (1) for stopping fuel supply between fuel supply elements and the burner, and a second valve (2) for adjusting and stopping dispersing agent supply between dispersing agent supply elements and the burner. The apparatus comprises at least one body part (4a to 4d) containing a fuel channel (5) whereto the fuel supply elements and the burner are connectable, and at least one body part (4a to 4d) containing a dispersing agent channel (8) whereto the dispersing agent supply elements and the burner are connectable.
Patent AT-E399717-T1: [Translated] DEVICE FOR FILLING A CONTAINER WITH AT LEAST ONE TYPE OF POWDER MATERIAL

The device has an evacuation unit (14) comprising an air evacuation duct (16) permitting the evacuation of the air in a container or mold (6) when a powder material penetrates in the container or mold. An air evacuation duct (18) permits the air to exit the container or mold before starting a filling phase. A pneumatic pump (24) extracts the air contained in the container or mold during the filling phase. An independent claim is also included for a method for filling a container or mold with a powder material.
ACF-700 Tribal Annual Report

The ACF-700 Tribal Annual Report collects information on all children and families receiving direct CCDF-funded child care services during the period October 1 through September 30 (i.e., Federal Fiscal Year (FFY))—as required by the CCDF regulations at 45 CFR 98.70(c). The ACF-700 report offers the Office of Child Care (OCC) information about how CCDF program dollars are being spent to deliver child care services to eligible children and families.

<b>Units of Response: </b>Tribal Lead Agencies

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

<b>Tribal Data: </b>Yes

<b>COVID-19 Data: </b>Unavailable

<b>Periodicity: </b>Annual

<b>SORN: </b>Not Applicable

<b>Data Use Agreement: </b>Unavailable

<b>Data Use Agreement Location: </b>Unavailable

<b>Equity Indicators: </b>Indigenous Population

<b>Granularity: </b>Unavailable

<b>Spatial: </b>Tribes

<b>Geocoding: </b>Tribe
Patent AT-E401354-T1: [Translated] AQUEOUS VINYL LIGOMER AND VINYL POLYMER COMPOSITIONS

An aqueous composition comprising i) at least a crosslinkable vinyl oligomer (A) with a weight average molecular weight in the range of from 1000 to 80,000 Daltons obtained by the bulk polymerisation of vinyl monomers ii) at least a vinyl polymer (B) with a weight average molecular weight >=5000 Daltons, obtained by polymerisation in the presence of vinyl oligomer (A) of vinyl monomers where the ratio of vinyl oligomer (A) to vinyl polymer (B) is in the range of from 5:95 to 95:5; where polymer (B) is more hydrophobic than vinyl oligomer (A); and where the weight average molecular weight of vinyl polymer (B) is more than the weight average molecular weight of vinyl oligomer (A).
Diabetes State Burden Toolkit - Economic Burden

This section of the Burden Toolkit reports the economic burden of diabetes in your state and consists of medical (direct) costs, indirect costs, and costs from the perspective of State Medicaid Programs, private insurers, and employers.

Data Sources: 2014 and 2021 National Health Expenditure Accounts (NHEA) from CMS. 2014 State Health Expenditure Accounts (SHEA) from CMS. 2022 Current Population Survey. 2021 Behavioral Risk Factor Surveillance Survey (BRFSS). 2015-2019 Medical Expenditure Panel Survey (MEPS). 2013-2021 National Health Interview Survey (NHIS), 2022. 2021 CDC Wonder. For detail, see the Technical Report: https://www.cdc.gov/diabetes/burden-toolkit/docs/technical_documentation.pdf
Accumulation of dehydrin-like proteins in the mitochondria of cereals in response to cold, freezing, drought and ABA treatment

Background
          Dehydrins are known as Group II late embryogenesis abundant proteins. Their high hydrophilicity and thermostability suggest that they may be structure stabilizers with detergent and chaperone-like properties. They are localised in the nucleus, cytoplasm, and plasma membrane. We have recently found putative dehydrins in the mitochondria of some cereals in response to cold. It is not known whether dehydrin-like proteins accumulate in plant mitochondria in response to stimuli other than cold stress.
        
        
          Results
          We have found five putative dehydrins in the mitochondria of winter wheat, rye and maize seedlings. Two of these polypeptides had the same molecular masses in all three species (63 and 52 kD) and were thermostable. Drought, freezing, cold, and exogenous ABA treatment led to higher accumulation of dehydrin-like protein (dlp) 63 kD in the rye and wheat mitochondria. Protein 52 kD was induced by cold adaptation and ABA. Some accumulation of these proteins in the maize mitochondria was found after cold exposition only. The other three proteins appeared to be heat-sensitive and were either slightly induced or not induced at all by all treatments used.
        
        
          Conclusions
          We have found that, not only cold, but also drought, freezing and exogenous ABA treatment result in accumulation of the thermostable dehydrins in plant mitochondria. Most cryotolerant species such as wheat and rye accumulate more heat-stable dehydrins than cryosensitive species such as maize. It has been supposed that their function is to stabilize proteins in the membrane or in the matrix. Heat-sensitive putative dehydrins probably are not involved in the stress reaction and adaptation of plants.
CMS Program Statistics - Medicare Advantage & Other Health Plan Enrollment

The CMS Program Statistics - Medicare Advantage & Other Health Plan Enrollment tables provide data on characteristics of the population covered by Medicare Advantage & other health plans. 

For additional information on enrollment, providers, and Medicare use and payment, visit the CMS Program Statistics page.

 

Below is the list of tables:


	MDCR ENROLL AB 15.  Medicare Advantage and Other Health Plan Enrollment:  Part A and/or Part B Total, Aged, and Disabled Enrollees, Yearly Trend
	MDCR ENROLL AB 16.  Medicare Advantage and Other Health Plan Enrollment: Part A and/or Part B Enrollees, by Age Group, Yearly Trend
	MDCR ENROLL AB 17.  Medicare Advantage and Other Health Plan Enrollment:  Part A and/or Part B Enrollees, by Demographic Characteristics
	MDCR ENROLL AB 18.  Medicare Advantage and Other Health Plan Enrollment:  Part A and/or Part B Enrollees, by Type of Entitlement and Demographic Characteristics
	MDCR ENROLL AB 19.  Medicare Advantage and Other Health Plan Enrollment:  Part A and/or Part B Total, Aged, and Disabled Enrollees, by Area of Residence
	MDCR ENROLL AB 20.  Medicare Advantage and Other Health Plan Enrollment:  Part A and/or Part B Enrollees, by Type of Entitlement and Area of Residence
Compound 526542: 7-(2-Hydroxy-3-methylbutyryl)-retronecine

Chemical compound data from PubChem database. IUPAC Name: [7-(hydroxymethyl)-2,3,5,8-tetrahydro-1H-pyrrolizin-2-yl] 2-hydroxy-3-methylbutanoate. Molecular Formula: C13H21NO4. Molecular Weight: 255.31. This dataset contains comprehensive chemical information including structural data, physical properties, and biological activities. Useful for drug discovery, chemical research, and educational purposes.
MD COVID-19 - Total Deaths in Congregate Facility Settings (Nursing Homes, Assisted Living, State and Local Facilities and Group Homes +10 Residents) by County

<b>This layer has been DEPRECATED</b> (last updated12/1/2021). This was formerly a weekly update.

<b>Summary</b>
The Outbreak-Associated Cases in Congregate Living data dashboard on coronavirus.maryland.gov was redesigned on 11/17/21 to align with other outbreak reporting. Visit https://opendata.maryland.gov/dataset/MD-COVID-19-Congregate-Outbreak/ey5n-qn5s to view Outbreak-Associated Cases in Congregate Living data as reported after 11/17/21.

Confirmed COVID-19 deaths among Maryland residents within a single Maryland jurisdiction who live and work in congregate living facilities for the reporting period.

<b>Description</b>
The MD COVID-19 - Total Deaths in Congregate Facility Settings data layer is a total of deaths confirmed by a positive COVID-19 test result that have been reported to MDH in nursing homes, assisted living facilities, group homes of 10 or more and state and local facilities in each Maryland jurisdiction for the reporting period. Data are reported to MDH by local health departments, the Department of Public Safety and Correctional Services and the Department of Juvenile Services. To appear on the list, facilities report at least one confirmed case of COVID-19 over the prior 14 days. Facilities are removed from the list when health officials determine 14 days have passed with no new cases and no tests pending. The list provides a point-in-time picture of COVID-19 case activity among these facilities. Numbers reported for each facility listed reflect totals ever reported for deaths. Data are updated once weekly.

<b>Terms of Use</b>
The Spatial Data, and the information therein, (collectively the "Data") is provided "as is" without warranty of any kind, either expressed, implied, or statutory. The user assumes the entire risk as to quality and performance of the Data. No guarantee of accuracy is granted, nor is any responsibility for reliance thereon assumed. In no event shall the State of Maryland be liable for direct, indirect, incidental, consequential or special damages of any kind. The State of Maryland does not accept liability for any damages or misrepresentation caused by inaccuracies in the Data or as a result to changes to the Data, nor is there responsibility assumed to maintain the Data in any manner or form. The Data can be freely distributed as long as the metadata entry is not modified or deleted. Any data derived from the Data must acknowledge the State of Maryland in the metadata.
2016 Catheter-Associated Urinary Tract Infections (CAUTI) Table – Critical Access Hospitals (Updated Baseline)

Oregon hospitals report CAUTIs from adult and pediatric intensive care units, and adult and pediatric medical, surgical, medical/surgical, and inpatient rehabilitation wards as part of Oregon's mandatory healthcare-associated infections reporting program. Note: Blue Mountain Hospital did not report CAUTI data for calendar year 2016.
For information regarding standardized infection ratio baselines, please see https://www.cdc.gov/nhsn/2015rebaseline/index.html
Compound 526171: Dimethyl 3-nitro-phenyl phosphate

Chemical compound data from PubChem database. IUPAC Name: dimethyl (3-nitrophenyl) phosphate. Molecular Formula: C8H10NO6P. Molecular Weight: 247.14. 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 II. Vibriosis

NNDSS - Table II.  Vibriosis - 2018. In this Table, provisional cases of selected notifiable diseases (≥1,000 cases reported during the preceding year), and selected low frequency diseases are displayed. The Table includes total number of cases reported in the United States, by region and by states or territory.

Note:

This table contains provisional cases of selected 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:

C.N.M.I.: Commonwealth of Northern Mariana Islands. 
U: Unavailable. —: No reported cases. N: Not reportable. NA:  Not Available.  NN: Not Nationally Notifiable. NP: Nationally notifiable but not published. Cum: Cumulative year-to-date counts. Med: Median. Max: Maximum. 

* Case counts for reporting years 2017 and 2018 are provisional and subject to change. Data for years 2013 through 2016 are finalized. For further information on interpretation of these data, see http://wwwn.cdc.gov/nndss/document/ProvisionalNationaNotifiableDiseasesSurveillanceData20100927.pdf.
Remote Training and Learning for CCWIS Rollout

This webinar explained how states are using remote/distance training and learning for CCWIS rollout and implementation. This webinar session provided an overview of key strategies for effective and engaging distance learning models for training and onboarding of new staff. State panelists shared lessons learned with using virtual reality during the onboarding and training process as well as lessons learned from quickly pivoting from in-person training to virtual training due to the COVID-19 pandemic.

Metadata-only record linking to the original dataset. Open original dataset below.
NNDSS - TABLE 1GG. Smallpox to Streptococcal toxic shock syndrome

NNDSS - TABLE 1GG. Smallpox to Streptococcal toxic shock syndrome – 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.
Compound 525725: (p-Methylbenzylidene)-decyl-amine

Chemical compound data from PubChem database. IUPAC Name: N-decyl-1-(4-methylphenyl)methanimine. Molecular Formula: C18H29N. Molecular Weight: 259.4. This dataset contains comprehensive chemical information including structural data, physical properties, and biological activities. Useful for drug discovery, chemical research, and educational purposes.
2011 CMHS Uniform Reporting System (URS) Output Tables for Northern Mariana Islands

Center for Mental Health Services (CMHS) Uniform Reporting System (URS) Output Tables for 2011. 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.
Reinforcement of genetic coherence in a two-locus model

Background
          In order to maintain populations as units of reproduction and thus enable anagenetic evolution, genetic factors must exist which prevent continuing reproductive separation or enhance reproductive contact. This evolutionary principle is called genetic coherence and it marks the often ignored counterpart of cladistic evolution. Possibilities of the evolution of genetic coherence are studied with the help of a two-locus model with two alleles at each locus. The locus at which viability selection takes place is also the one that controls the fusion of gametes. The second locus acts on the first by modifying the control of the fusion probabilities. It thus acts as a mating modifier whereas the first locus plays the role of the object of selection and mating. Genetic coherence is enhanced by modifications which confer higher probabilities of fusion to heterotypic gametic combinations (resulting in heterozygous zygotes) at the object locus.
        
        
          Results
          It is shown that mutants at the mating modifier locus, which increase heterotypic fusions but do not lower the homotpyic fusions relative to the resident allele at the object locus, generally replace the resident allele. Since heterozygote advantage at the object locus is a necessary condition for this result to hold true, reinforcement of genetic coherence can be claimed for this case. If the homotypic fusions are lowered, complex situations may arise which may favor or disfavor the mutant depending on initial frequencies and recombination rates. To allow for a generalized analysis including alternative models of genetic coherence as well as the estimation of its degrees in real populations, an operational concept for the measurement of this degree is developed. The resulting index is applied to the interpretation of data from crossing experiments in Alnus species designed to detect incompatibility relations.
Compound 528107: 2,3-Dimethyl-5-(2-methylpentyl)pyrazine

Chemical compound data from PubChem database. IUPAC Name: 2,3-dimethyl-5-(2-methylpentyl)pyrazine. Molecular Formula: C12H20N2. Molecular Weight: 192.3. This dataset contains comprehensive chemical information including structural data, physical properties, and biological activities. Useful for drug discovery, chemical research, and educational purposes.
4.24 Facility smoking policy, by facility operation and primary focus of facility: 2011 Number and percent distribution

This is a National Survey of Substance Abuse Treatment Services (N-SSATS) data table showing facility smoking policy, by facility operation and primary focus of facility in 2011. N-SSATS is designed to collect data on the location, characteristics, and use of alcohol and drug abuse treatment facilities and services throughout the 50 States, the District of Columbia, and other U.S. jurisdictions.
NNDSS - TABLE 1JJ. Tuberculosis to Tularemia

NNDSS - TABLE 1JJ. Tuberculosis to Tularemia – 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.