We compiled macroinvertebrate assemblage data collected from 1995 to 2014 from the St. Louis River Area of Concern (AOC) of western Lake Superior. Our objective was to define depth-adjusted cutoff values for benthos condition classes (poor, fair, reference) to provide tool useful for assessing progress toward achieving removal targets for the degraded benthos beneficial use impairment in the AOC. The relationship between depth and benthos metrics was wedge-shaped. We therefore used quantile regression to model the limiting effect of depth on selected benthos metrics, including taxa richness, percent non-oligochaete individuals, combined percent Ephemeroptera, Trichoptera, and Odonata individuals, and density of ephemerid mayfly nymphs (Hexagenia). We created a scaled trimetric index from the first three metrics. Metric values at or above the 90th percentile quantile regression model prediction were defined as reference condition for that depth. We set the cutoff between poor and fair condition as the 50th percentile model prediction. We examined sampler type, exposure, geographic zone of the AOC, and substrate type for confounding effects. Based on these analyses we combined data across sampler type and exposure classes and created separate models for each geographic zone. We used the resulting condition class cutoff values to assess the relative benthic condition for three habitat restoration project areas. The depth-limited pattern of ephemerid abundance we observed in the St. Louis River AOC also occurred elsewhere in the Great Lakes. We provide tabulated model predictions for application of our depth-adjusted condition class cutoff values to new sample data. This dataset is associated with the following publication: Angradi, T., W. Bartsch, A. Trebitz, V. Brady, and J. Launspach. A depth-adjusted ambient distribution approach for setting numeric removal targets for a Great Lakes Area of Concern beneficial use impairment: Degraded benthos. JOURNAL OF GREAT LAKES RESEARCH. International Association for Great Lakes Research, Ann Arbor, MI, USA, 43(1): 108-120, (2017).

The dataset contains data from 3,786 patients. It is not available for download here, but registered in the FAIR4Health Platform portal.

Periodicity: Annual

One of four dataset to replicate numbers for tables and figures in the article "Mammography screening: eliciting the voices of informed citizens" by Manja D. Jensen, Kasper M. Hansen, Volkert Siersma, and John Brodersen

Patient appointment information is obtained from the Veterans Health Information Systems and Technology Architecture Scheduling module. The Patient Appointment Information application gathers appointment data to be loaded into a national database for statistical reporting. Patient appointments are scanned from September 1, 2002 to the present, and appointment data meeting specified criteria are transmitted to the Austin Information Technology Center Patient Appointment Information Transmission (PAIT) national database. Subsequent transmissions (bi-monthly) update PAIT bi-monthly via Health Level Seven message transmissions through Vitria Interface Engine (VIE) connections. A Statistical Analysis Software (SAS) program in Austin utilizes PAIT data to create a bi-monthly SAS dataset on the Austin mainframe. This additional data is used to supplement the existing Clinic Appointment Wait Time and Clinic Utilization extracts created by the Veterans Health Administration Support Service Center (VSSC).

Since the outbreak of SARS-CoV-2, antigenicity concerns continue to linger with emerging mutants. As recent variants have shown decreased reactivity to previously determined monoclonal antibodies (mAbs) or sera, monitoring the antigenicity change of circulating mutants is urgently needed for vaccine effectiveness. Currently, antigenic comparison is mainly carried out by immuno-binding assays. Yet, an online predicting system is highly desirable to complement the targeted experimental tests from the perspective of time and cost. Here, we provided a platform of SAS (Spike protein Antigenicity for SARS-CoV-2), enabling predicting the resistant effect of emerging variants and the dynamic coverage of SARS-CoV-2 antibodies among circulating strains. When being compared to experimental results, SAS prediction obtained the consistency of 100% on 8 mAb-binding tests with detailed epitope covering mutational sites, and 80.3% on 223 anti-serum tests. Moreover, on the latest South Africa escaping strain (B.1.351), SAS predicted a significant resistance to reference strain at multiple mutated epitopes, agreeing well with the vaccine evaluation results. SAS enables auto-updating from GISAID, and the current version collects 867K GISAID strains, 15.4K unique spike (S) variants, and 28 validated and predicted epitope regions that include 339 antigenic sites. Together with the targeted immune-binding experiments, SAS may be helpful to reduce the experimental searching space, indicate the emergence and expansion of antigenic variants, and suggest the dynamic coverage of representative mAbs/vaccines among the latest circulating strains. SAS can be accessed at https://www.biosino.org/sas.

One of three dataset to replicate numbers for tables and figures in the article "Using a Deliberative Poll on breast cancer screening to assess and improve the decision quality of laypeople" by Manja D. Jensen, Kasper M. Hansen, Volkert Siersma, and John Brodersen

Matching is frequently used in observational studies, especially in medical research. However, only a small number of articles with matching programs for the SAS software (SAS Institute Inc., Cary, NC, USA) are available, even less are usable for inexperienced users of SAS software. This article presents a matching program for the SAS software and links to an online repository for examples and test data. The program enables matching on several variables and includes in-depth explanation of the expressions used and how to customize the program. The selection of controls is randomized and automated, minimizing the risk of selection bias. Also, the program provides means for the researcher to test for incomplete matching.

Colombia Free Zones: Imports Volume: International Valle De Aburrá Zofiva SAS data was reported at 0.000 Metric Ton in Mar 2019. This stayed constant from the previous number of 0.000 Metric Ton for Feb 2019. Colombia Free Zones: Imports Volume: International Valle De Aburrá Zofiva SAS data is updated monthly, averaging 0.000 Metric Ton from Jan 2014 (Median) to Mar 2019, with 62 observations. The data reached an all-time high of 103.000 Metric Ton in Aug 2015 and a record low of 0.000 Metric Ton in Mar 2019. Colombia Free Zones: Imports Volume: International Valle De Aburrá Zofiva SAS data remains active status in CEIC and is reported by National Statistics Administrative Department. The data is categorized under Global Database’s Colombia – Table CO.JA043: Imports: Free Trade Zone.

This dataset comprises the data collected for the Sub-state Autonomy Scale (SAS). The SAS is an indicator measuring the autonomy demands and statutes of sub-state communities in kind (whether competences are administrative or legislative), in degree (how much each dimension is present) and by competences (as a function of the extent of comprised policy domains). Definitions: -By 'sub-state community', I refer to sub-state entities within countries for which autonomous institutions have been demanded by a significant regionalist or traditional (centrist, liberal or socialist main-stream) political party (>5%) or to which autonomous institutions have been conferred. -By 'autonomy statutes', I refer to the legal autonomy prerogatives obtained by sub-state communities. -For 'autonomy demands', I distinguish between the legal autonomy prerogatives demanded by the regionalist party with the highest vote share and those demanded by the traditional party with the largest autonomy demand. Detailed conceptual presentation: see the Regional Studies article cited below (the open access author version can be found in the files section). Specifications: -Unit of analysis: sub-state communities by yearly intervals. -Country coverage: Belgium, Spain, United Kingdom (31 sub-state communities). -Time coverage: 1707-2020 (starting dates vary across sub-state communities). *For the full list of sub-state communities and their respective time coverage, see the codebook. Citation and acknowledgement: when using the data, please cite the Regional Studies article listed below. Latest version: 1.0 [01.02.2022].

Statistical programming in SAS is a book. It was written by A. John Bailer and published by Chapman&Hall/CRC in 2019.

Subscribers can find out export and import data of 23 countries by HS code or product’s name. This demo is helpful for market analysis.

Colombia Internet Traffic: Local: Avantel S.A.S En Reorganizacion data was reported at 0.000 GB in 27 Sep 2020. This stayed constant from the previous number of 0.000 GB for 26 Sep 2020. Colombia Internet Traffic: Local: Avantel S.A.S En Reorganizacion data is updated daily, averaging 0.000 GB from Mar 2020 (Median) to 27 Sep 2020, with 182 observations. The data reached an all-time high of 0.000 GB in 27 Sep 2020 and a record low of 0.000 GB in 27 Sep 2020. Colombia Internet Traffic: Local: Avantel S.A.S En Reorganizacion data remains active status in CEIC and is reported by Communications Regulation Commission. The data is categorized under Global Database’s Colombia – Table CO.TB004: Internet Traffic: by Provider.

The global SAS SSD market is projected to exhibit significant growth over the forecast period, owing to the increasing adoption of SAS SSDs in data centers and enterprise applications. The rising demand for high-performance computing and data storage solutions is driving the growth of the SAS SSD market. Additionally, the growing popularity of cloud computing and virtualization is also contributing to the market's expansion. The market is expected to witness the entry of new vendors and the emergence of innovative technologies in the coming years. Key market players include Kingston Technology, Micron, Seagate, Samsung, Toshiba, Dell, and Western Digital. The market is highly competitive, with these companies vying for market share through product innovation and strategic partnerships. The market is expected to witness consolidation over the forecast period, with larger players acquiring smaller vendors to expand their product portfolio and geographic reach. The market is also expected to be impacted by the increasing adoption of NVMe SSDs, which offer higher performance and lower latency than SAS SSDs. However, the higher cost of NVMe SSDs is expected to limit their adoption in budget-sensitive applications.

This is the complete dataset for the 500 Cities project 2016 release. This dataset includes 2013, 2014 model-based small area estimates for 27 measures of chronic disease related to unhealthy behaviors (5), health outcomes (13), and use of preventive services (9). Data were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. The project was funded by the Robert Wood Johnson Foundation (RWJF) in conjunction with the CDC Foundation. It represents a first-of-its kind effort to release information on a large scale for cities and for small areas within those cities. It includes estimates for the 500 largest US cities and approximately 28,000 census tracts within these cities. These estimates can be used to identify emerging health problems and to inform development and implementation of effective, targeted public health prevention activities. Because the small area model cannot detect effects due to local interventions, users are cautioned against using these estimates for program or policy evaluations. Data sources used to generate these measures include Behavioral Risk Factor Surveillance System (BRFSS) data (2013, 2014), Census Bureau 2010 census population data, and American Community Survey (ACS) 2009-2013, 2010-2014 estimates. More information about the methodology can be found at www.cdc.gov/500cities. Note: During the process of uploading the 2015 estimates, CDC found a data discrepancy in the published 500 Cities data for the 2014 city-level obesity crude prevalence estimates caused when reformatting the SAS data file to the open data format. . The small area estimation model and code were correct. This data discrepancy only affected the 2014 city-level obesity crude prevalence estimates on the Socrata open data file, the GIS-friendly data file, and the 500 Cities online application. The other obesity estimates (city-level age-adjusted and tract-level) and the Mapbooks were not affected. No other measures were affected. The correct estimates are update in this dataset on October 25, 2017.

Exercise data set for the SAS book by Uehlinger. Sample of individual variables and cases from the data set of ZA Study 0757 (political ideology).

Topics: most important political problems of the country; political interest; party inclination; behavior at the polls in the Federal Parliament election 1972; political participation and willingness to participate in political protests.

Demography: age; sex; marital status; religious denomination; school education; interest in politics; party preference.

Natural Gas Production: Fiscalized: Hades E&P Colombia S.A.S data was reported at 14.280 Cub ft mn in Oct 2020. Natural Gas Production: Fiscalized: Hades E&P Colombia S.A.S data is updated monthly, averaging 14.280 Cub ft mn from Oct 2020 (Median) to Oct 2020, with 1 observations. The data reached an all-time high of 14.280 Cub ft mn in Oct 2020 and a record low of 14.280 Cub ft mn in Oct 2020. Natural Gas Production: Fiscalized: Hades E&P Colombia S.A.S data remains active status in CEIC and is reported by National Hydrocarbons Agency. The data is categorized under Global Database’s Colombia – Table CO.RB014: Natural Gas Production: by Operator.

The global Mini SAS HD Connector market size is projected to reach USD XX million by 2033, exhibiting a CAGR of XX% during the forecast period. This growth can be attributed to the increasing demand for high-speed data transfer in various end-use industries, such as enterprise computing, data centers, and telecommunications. Additionally, the growing adoption of cloud computing and the Internet of Things (IoT) is driving the need for robust and reliable data connectivity, which is expected to further fuel the growth of the Mini SAS HD Connector market. The Mini SAS HD Connector market is highly competitive, with a wide range of established and emerging players. Key market players include TE Connectivity, Amphenol, BizLink, Fischer Connectors, CS Electronics, SANS Digital, Molex, Coxoc, Starconn, LSI, 3M, ACES Group, Samtec, Qualwave, Delock, Eaton, WUTONG GROUP, CZT, Next Group, and Conshare. These players are constantly innovating and expanding their product offerings to meet the evolving needs of their customers. The market is also characterized by the presence of regional and local suppliers, which cater to specific regional or application-based requirements.

Subscribers can find out export and import data of 23 countries by HS code or product’s name. This demo is helpful for market analysis.

Colombia Natural Gas Production: Fiscalized: Wattle Petroleum Company S.A.S data was reported at 107.790 Cub ft mn in Jan 2025. This records an increase from the previous number of 60.910 Cub ft mn for Dec 2024. Colombia Natural Gas Production: Fiscalized: Wattle Petroleum Company S.A.S data is updated monthly, averaging 69.265 Cub ft mn from Jan 2017 (Median) to Jan 2025, with 80 observations. The data reached an all-time high of 192.060 Cub ft mn in Jul 2021 and a record low of 0.230 Cub ft mn in Mar 2021. Colombia Natural Gas Production: Fiscalized: Wattle Petroleum Company S.A.S data remains active status in CEIC and is reported by National Hydrocarbons Agency. The data is categorized under Global Database’s Colombia – Table CO.RB014: Natural Gas Production: by Operator. [COVID-19-IMPACT]