The Minimum Data Set (MDS) Frequency data summarizes health status indicators for active residents currently in nursing homes. The MDS is part of the Federally-mandated process for clinical assessment of all residents in Medicare and Medicaid certified nursing homes. This process provides a comprehensive assessment of each resident's functional capabilities and helps nursing home staff identify health problems. Care Area Assessments (CAAs) are part of this process, and provide the foundation upon which a resident's individual care plan is formulated. MDS assessments are completed for all residents in certified nursing homes, regardless of source of payment for the individual resident. MDS assessments are required for residents on admission to the nursing facility, periodically, and on discharge. All assessments are completed within specific guidelines and time frames. In most cases, participants in the assessment process are licensed health care professionals employed by the nursing home. MDS information is transmitted electronically by nursing homes to the national MDS database at CMS. When reviewing the MDS 3.0 Frequency files, some common software programs e.g., ‘Microsoft Excel’ might inaccurately strip leading zeros from designated code values (i.e., "01" becomes "1") or misinterpret code ranges as dates (i.e., O0600 ranges such as 02-04 are misread as 04-Feb). As each piece of software is unique, if you encounter an issue when reading the CSV file of Frequency data, please open the file in a plain text editor such as ‘Notepad’ or ‘TextPad’ to review the underlying data, before reaching out to CMS for assistance.

IES-MDS DB is a database of macronuclear and micronuclear genes in spirotrichous ciliates. The database contains information on 440 MDS pairs (each pair composed of the MIC and the MAC version of a given MDS), 392 IES and 361 pointer triples (each pointer has two active copies in the MIC and one copy in the MAC) (7). Out of the 440 MDSs, 235 are scrambled, and 65 are in the opposite strand in the MIC. A total of 320 IESs and 202 pointers are scrambled. For each pair of genes in the database the user can see the micronuclear and macronuclear organization and has the option to see all the MDS, IES and pointer sequences. Another option is to download the MIC sequence with the MDSs and pointers in uppercase and the IESs in lowercase. It is also possible to graphically compare the organization of several genes.

The purpose of the project is to detect unreported Supplemental Security Income (SSI) recipient admissions to Title XIX institutions. A file containing SSN's of SSI recipients (all eligible individuals and members of eligible couples in current pay) will be matched against the Health Care Financing Administration's (HCFA) Minimum Data Set (MDS) database which contains admission, discharge, re-entry and assessment information about persons in Title XIX facilities for all 50 States and Washington, D.C. This database is updated monthly. The match will produce an output file containing MDS data pertinent to SSI eligibility on matched records. This data will be compared back to the SSR data to generate alerts to the Field Offices for their actions.

IES-MDS DB is a database of macronuclear and micronuclear genes in spirotrichous ciliates. The database contains information on 440 MDS pairs (each pair composed of the MIC and the MAC version of a given MDS), 392 IES and 361 pointer triples (each pointer has two active copies in the MIC and one copy in the MAC) (7). Out of the 440 MDSs, 235 are scrambled, and 65 are in the opposite strand in the MIC. A total of 320 IESs and 202 pointers are scrambled. For each pair of genes in the database the user can see the micronuclear and macronuclear organization and has the option to see all the MDS, IES and pointer sequences. Another option is to download the MIC sequence with the MDSs and pointers in uppercase and the IESs in lowercase. It is also possible to graphically compare the organization of several genes.

The Resident Assessment Instrument/Minimum Data Set (RAI/MDS) is a comprehensive assessment and care planning process used by the nursing home industry since 1990 as a requirement for nursing home participation in the Medicare and Medicaid programs. The RAI/MDS provides data for monitoring changes in resident status that are consistent and reliable over time. The VA commitment to quality propelled the implementation of the RAI/MDS in its nursing homes now known as VA Community Living Centers (CLC). In addition to providing consistent clinical information, the RAI/MDS can be used as a measure of both quality and resource utilization, thereby serving as a benchmark for quality and cost data within the VA as well as with community based nursing facilities. Workload based on RAI/MDS can be calculated electronically by the interactions of the elements of the MDS data and grouped into 53 categories referred to as Resource Utilization Groups (RUG-IV). Residents are assessed quarterly. The data is grouped for analysis at the Austin Information Technology Center (AITC). Conversion to electronic data entry and transmission to the AITC was completed system-wide by year-end 2000. In 2010, the Centeres for Medicare and Medicaide Services released a significantly upgraded version, MDS 3.0, to begin to be implemented on October 1, 2011 in VHA CLCs. Training is underway currently. The MDS 3.0 will generate a new set of Quality Indicators and Quality Monitors as well the RUGs will increase to 64 RUGs from the current 53 RUG groups.

Agreement between adherence to the food groups comprising the MD, assessed by MDSS and MEDAS questionnaires; data are presented as κ values (P values) for each of the food group included in the questionnaires and expressed as binary variables (adherent/non-adherent).

IES MDS Database is a database which characterizes sequence dynamics in Spirotrichea. The database contains information on the sequences that are eliminated and rearranged during the process of genetic rearrangement in the lifecycle of these ciliates. Users can search by organism or gene name to retreive dynamic sequences.

description:

The Long-Term Care Minimum Data Set (MDS) is a standardized, primary screening and assessment tool of health status that forms the foundation of the comprehensive assessment for all residents in a Medicare and or Medicaid-certified long-term care facility. The MDS contains items that measure physical, psychological and psychosocial functioning. The items in the MDS give a multidimensional view of the patients functional capacities and helps staff to identify health problems.

The Long-Term Care Minimum Data Set (MDS) is a standardized, primary screening and assessment tool of health status that forms the foundation of the comprehensive assessment for all residents in a Medicare and or Medicaid-certified long-term care facility. The MDS contains items that measure physical, psychological and psychosocial functioning. The items in the MDS give a multidimensional view of the patients functional capacities and helps staff to identify health problems.

The Minimum Data Set (MDS) is part of the federally mandated process for clinical assessment of all residents in Medicare or Medicaid certified nursing homes. This process provides a comprehensive assessment of each residents functional capabilities and helps nursing home staff identify health problems. These public use reports are meant to begin the process of sharing information from the national MDS database.

The Older Persons and Informal Caregivers Survey - Minimum DataSet (TOPICS-MDS) is a public data repository which contains information on the physical and mental health and well-being of older persons and informal caregivers and their care use across the Netherlands. The database was developed at the start of The National Care for the Elderly Programme (‘Nationaal Programma Ouderenzorg’ - NPO) on behalf of the Organisation of Health Research and Development (ZonMw - The Netherlands), in part to ensure uniform collection of outcome measures, thus promoting comparability between studies.Since September 2014, TOPICS-MDS data are also collected within the ZonMw funded ‘Memorabel’ programme, that is specifically aimed at improving the quality of life for people with dementia and the care and support provided to them. In Memorabel round 1 through 4, 11 different research projects have collected TOPICS-MDS data, which has resulted in a pooled database with cross-sectional and (partly) longitudinal data of 1,400 older persons with early onset or advanced dementia and about 950 informal caregivers. Out of these numbers, a number of 919 concerns care receiver - caregiver dyads of whom information on both the care receiver and caregiver is available.More background information on both NPO and Memorabel 1-4 can be found in the overall information on TOPICS-MDS under the tab ‘Data files’ in DANS EASY (doi.org/10.17026/dans-xvh-dbbf).At the moment, 3 different research projects have collected data for TOPICS-MDS Memorabel 5.The 'TOPICS-MDS Memorabel 5 caregiver dataset, as part of the Memorabel 5 database, contains only data about the caregiver, such as data on physical and emotional health, time spent on care receiver and quality of life. Date Submitted: 2023-10-05

No description found

The chemistry search engine market is experiencing robust growth, driven by the increasing demand for efficient information retrieval in the chemical sciences. The market, currently valued at approximately $250 million in 2025, is projected to expand significantly over the forecast period (2025-2033), fueled by a compound annual growth rate (CAGR) of 15%. This growth is primarily attributed to several key factors. Firstly, the escalating number of chemical compounds and related research necessitates sophisticated search tools capable of handling vast datasets and diverse data types (CAS registry numbers, MSDS sheets, market prices, etc.). Secondly, the integration of these search engines into R&D workflows within both enterprise and individual settings streamlines research processes, accelerating drug discovery, material science advancements, and overall chemical innovation. Furthermore, the rising adoption of digital tools within the chemical industry and the increasing accessibility of high-speed internet globally further contribute to market expansion. While data privacy concerns and the need for consistent data standardization across different databases represent potential restraints, ongoing technological advancements are continually improving the reliability and user experience of these search engines. The market segmentation reveals a balanced distribution across application types (enterprise and individual users) and query types (CAS No., MSDS, market price information, R&D data, etc.). North America currently holds the largest market share, followed by Europe and Asia Pacific. However, the Asia Pacific region exhibits considerable growth potential due to rapid industrialization and a surge in research and development activities. The competitive landscape is characterized by a mix of established players like ChemSpider and PubChem, along with specialized providers offering niche capabilities. The strategic partnerships between these companies and leading chemical manufacturers are expected to drive further growth and integration within the industry. The predicted market value in 2033, considering the CAGR, suggests a significant expansion, with potential to exceed $1 billion, creating lucrative opportunities for innovators in this dynamic sector.

Meteorological data, site parameterisation data, and protocols for simulation of the five Free Air CO2 Enrichment (FACE) experiments and one Open Top Chamber (OTC) experiment that were the study sites of the FACE Model Data Synthesis (FACE-MDS) project. This dataset should contain everything necessary to simulate these six CO2 enrichment experiments -- Duke, Kennedy Space Center, NDFF, ORNL, PHACE, and Rhinelander -- following the FACE-MDS simulation protocol. File naming convention can be found in the file 'facemds-file-table-metdata.xml' and information about variable naming convention can be found in the file 'facemds-standard-name-table-metvars.xml'. Where possible we followed the ALMA v3 convention for meteorological variables. Additional info can be found in the protocol documents and readmes in this dataset. We replaced the original naming convention mentioned in the protocol with the one described in 'facemds-standard-name-table-modvars.xml' in the accompanying dataset (doi:10.15485/1480327).

The Older Persons and Informal Caregivers Survey - Minimum DataSet (TOPICS-MDS) is a public data repository which contains information on the physical and mental health and well-being of older persons and informal caregivers and their care use across the Netherlands. The database was developed at the start of The National Care for the Elderly Programme (‘Nationaal Programma Ouderenzorg’ - NPO) on behalf of the Organisation of Health Research and Development (ZonMw - The Netherlands), in part to ensure uniform collection of outcome measures, thus promoting comparability between studies.
Between 2008 en 2016, 53 different research projects have contributed data to this initiative, resulting in a pooled dataset with cross-sectional and (partly) longitudinal data of >43,000 older persons and >9,000 informal caregivers. Out of these numbers, a number of 7,600 concerns care receiver - caregiver dyads of whom information on both the care receiver and caregiver is available.
The 'TOPICS-MDS NPO caregiver’ dataset contains no care receiver (older person) data, only informal caregiver data.

MDS: COVID-19: Lethality: Central West data was reported at 1.500 % in 26 Apr 2025. This stayed constant from the previous number of 1.500 % for 25 Apr 2025. MDS: COVID-19: Lethality: Central West data is updated daily, averaging 1.600 % from Mar 2020 (Median) to 26 Apr 2025, with 1877 observations. The data reached an all-time high of 3.500 % in 18 Apr 2020 and a record low of 0.000 % in 25 Mar 2020. MDS: COVID-19: Lethality: Central West data remains active status in CEIC and is reported by Ministry of Health. The data is categorized under High Frequency Database’s Disease Outbreaks – Table BR.HLA005: Disease Outbreaks: COVID-19: Lethality. Current day data is released daily between 6PM and 7PM Brazil Time. Weekend data are updated following Monday morning, Hong Kong Time.

The Older Persons and Informal Caregivers Survey - Minimum DataSet (TOPICS-MDS) is a public data repository which contains information on the physical and mental health and well-being of older persons and informal caregivers and their care use across the Netherlands. The database was developed at the start of The National Care for the Elderly Programme (‘Nationaal Programma Ouderenzorg’ - NPO) on behalf of the Organisation of Health Research and Development (ZonMw - The Netherlands), in part to ensure uniform collection of outcome measures, thus promoting comparability between studies.Since September 2014, TOPICS-MDS data are also collected within the ZonMw funded ‘Memorabel’ programme, that is specifically aimed at improving the quality of life for people with dementia and the care and support provided to them. In Memorabel round 1 through 4, 11 different research projects have collected TOPICS-MDS data, which has resulted in a pooled database with cross-sectional and (partly) longitudinal data of 1,400 older persons with early onset or advanced dementia and about 950 informal caregivers. Out of these numbers, a number of 919 concerns care receiver - caregiver dyads of whom information on both the care receiver and caregiver is available.More background information on both NPO and Memorabel 1-4 can be found in the overall information on TOPICS-MDS under the tab ‘Data files’ in DANS EASY (doi.org/10.17026/dans-xvh-dbbf).At the moment, 3 different research projects have collected data for TOPICS-MDS Memorabel 7.The 'TOPICS-MDS Memorabel 7 care receiver' dataset, as part of the Memorabel 5 database, contains no informal caregiver data, only care receiver (older person) data. The dataset includes data on age, gender, country of birth, level of education, marital status and living situation of the care receiver, as well as data on physical and emotional health and well-being, quality of life, daily functioning and use of care, such as GP visits, home care, day care/treatment and admittance in a hospital, home for the aged or nursing home. Date Submitted: 2023-10-05

A. SUMMARY The dataset contains data by SFMTA for use according to the Mobility Data Specification (MDS) Geography API. The Geography API allows regulatory agencies to define geographies that may be used by providers of mobility services and may be referenced in other portions of a MDS implementation. More information about MDS can be found here.

The SFMTA uses MDS data to enforce regulations and conduct planning analyses related to its shared micromobility permit programs. The Geography API currently contains the key neighborhoods used by the SFMTA’s Powered Scooter Share Permit Program to help ensure that permitted operators offer an equitable and convenient distribution of services across San Francisco.

Additional geographies may be added for analytical and/or other regulatory needs.

B. HOW THE DATASET IS CREATED Staff create the geographies according to a regulatory and/or analytical need according to the MDS Geography API specification.

C. UPDATE PROCESS Updates are made as needed. All previous geographies are included, even if they are no longer in effect.

D. HOW TO USE THIS DATASET The data by itself may be of limited value, as the MDS Geography API is intended to be used in conjunction with other MDS APIs and regulatory functions.

E. RELATED DATASETS SFMTA also makes the geographies data available via an API at services.sfmta.com/mobility/2_0/geographies.

Dashboards containing aggregated MDS data as well as other datasets related to SFMTA's shared micromobility programs can be found here.

Abstract

A standardized screening and assessment tool of health status with comprehensive assessments of all residents in CMS-certified NHs regardless of insurance type. Completed on admission, quarterly and with change in status.

Usage

ResDAC Data Use Agreement

Cost to reuse the data

Collaboration Notes

I am open to new collaborations AND I am open to supporting a doctoral student

Start and End Dates of Data

2011-2022

Correlation between MEDAS and MDSS scores and lifestyle factors, perception of health and quality of life (data are Spearman rank rho coefficients and P values).

The Managed Data Service (MDS) features a specific set of Legal Entity Reference Data attributes. We gather data from publicly available sources and use it to construct an MDS Entity Record. This information is curated and stored in a central VEDaaS database, which contains the aggregated legal entities relevant to our clients. We link data to unique entity identifiers specific to each client, enabling efficient consumption and downstream content processing.