Simulation data generated from code in: https://github.com/TerrestrialEcology-ugent/simsem/blob/master/scripts/simSEM_simulations.R

That sounds like a valuable dataset for anyone interested in pursuing a master's degree in Data Science or Analytics in the United States! This dataset is very helpful to pursuing a master's degree in the US. - Are you looking to analyze this dataset for any specific insights or purposes? - Do you need assistance with anything related to it?

About .csv file

• Subject Name: The name or field of study of the master's program, such as Data Science, Data Analytics, or Applied Biostatistics.
• University Name: The name of the university offering the master's program.
• Per Year Fees: The program's tuition fees are usually in euros per year. For some programs, the fees may be listed as "full" or "full-time," indicating a lump sum for the entire program or full-time enrollment, respectively.
• About Program: A brief description or overview of the master's program, providing insights into its curriculum, focus areas, and any unique features.
• Program Duration: The duration of the master's program, typically expressed in years or months.
• University Location: The location of the university where the program is offered, including the city and state.
• Program Name: The official name of the master's program, often indicating its degree type (e.g., M.Sc. for Master of Science) and format (e.g., full-time, part-time, online).

Financial overview and grant giving statistics of University Of Pennsylvania Master Of Applied Positive Psychology Alu

This page contains a list of UWA surveys carried out using the Qualtrics software. The collection includes a list of surveys conducted between 2009 and 2011.

Surveys listed include:

• Examining the influence of emotional supervisor support on burnout through the Job Demands Resources model.
• Review of Schools 2003-2010.
• UWA Extension Course Evaluation, 2010.
• Review of Research Services.
• Review of the Institute of Advanced Studies.
• Review of the Office of Industry and Innovation.
• New Student Survey, 2011.
• Non-caring Activities of Mothers of Children with Disability.
• Views about Futures
• A Survey of Teachers' Attitudes.
• Neuroscience Literacy of Pre-service Teachers.
• Multiculturalism and teacher awareness.
• SP Household Location Preferences.
• University of Western Australia Academic Staff Association.
• Academics' Perception of Teaching Environment, 2010 .
• Synergy/UWA Extension Dr David Suzuki Seminar.
• UWA Admissions
• Postgraduate Coursework Student Survey.
• UWA News Survey.
• UWA Library Survey.
• Review of the Masters of Infectious Diseases course, UWA.
• Review of Schools, UWA 2003-2009.
• New Student Survey, UWA.
• Review of the Office of Development and Alumni Relations.
• Review of Public Affairs.
• Review of Information Technology Services.
• Review of Graduate School of Education.
• Review of the School of Mechanical Engineering.
• Review of the School of Indigenous Studies.
• Review of the PSB Academy, Singapore.
• Breakfast Club Survey –General P Cosgrove AC MC (Retd).
• Breakfast Club Survey – Reverend Tim Costello AO.
• Breakfast Club Survey – Adam Werbach.
• Study Abroad Survey.
• TRIM Survey.
• UWA Open Day Survey.
• UWA Extension Geraldton.
• UWA Extension Course Evaluation.
• UWA Staff Exit Survey.
• Postgraduate Exit Survey.

Most of the surveys belong to the UWA Institutional Research Unit (IRU).

Here we provide 3 spreadsheets with all the primary data (as received from the from the Laser Ablation ICP-MS facility at University of New Brunswick) LA-ICP-MS (Laser Ablation - Induced Coupled Plasma - Mass Spectrometry) performed on samples of stromatolitic dolostone from the Lower Transvaal Supergroup in Botswana.

These files contain the raw data of LA-ICP-MS as received from the laboratory at the University of New Brunswick (Canada). The analyses have been performed on Neoarchean stromatolitic dolostone from the Ramonnedi Formation (lower Transvaal Supergroup) of Botswana. Each file contains 2 spreadsheets, one with results reduced using NCS610 standard and the other one with results reduced using MACS standard.

Below is a description of the content of the spreadsheets. Columns A-B: reference material and source file name (internal laboratory code); Columns C-E: date and time of the execution of the analyses Column F: duration of the analyses Column G: name of the sample analyzed Column H: calcium content in Counts Per Second Column I: Internal Standard Error Columns J - BU: trace element concentrations and internal standard errors.

LA-ICP-MS analysis has been carried out on thin sections at the Laser Ablation ICP-MS facility at University of New Brunswick (UNB), Fredericton (Canada), using an Agilent 7700x ICP-MS coupled with a Coherent CompexPro 110 (193 nm Excimer laser) and a Resonetics M-50-LR laser ablation system. Carbonate analyses were performed using a 33µm spot size with a repetition rate of 3Hz and an on-sample energy of 5J/cm2, with a 30s ablation and a 30s gas blank between each ablation. Carrier gasses were ultra-pure helium (300 ml/min), ultra-pure nitrogen (2 ml/min), and standard Argon (930 ml/min). The second rotary pump was also used which almost doubles the sensitivities of heavy isotopes. A full suite of elements was monitored during tuning to ensure maximum sensitivity over the range of masses we were analyzing, while keeping doubly charged ions and oxides at a maintainable level (below 0.3% for each). Standards used were NIST610 and MACS-3. Calcium was used as an internal standard for data reduction of carbonate samples. The dwell times for most isotopes were kept at 0.01 sec per isotope, allowing us the lowest possible sweep time for each method.

We also provide a zip file with the R codes for the clustering, MANOVA, and discriminant analysis and the table with the primary data in the right format for running the codes.

The average age of German first degree university graduates has gone down in recent years, which means that students are both starting their studies and finishing them earlier, without prolonging. Currently the average age stands at **** years old. After their first degree many graduates might also decide to pursue a second one, for example a Masters. Over half a million first-years In the most recent winter semester, there were ******* first-year students. At German universities, the academic year is divided into the winter and summer semesters. Start and end dates may vary depending on the type of university and course of study. On average, first-degree students studied for around eight semesters. State universities still attracted the ******* student numbers, followed by universities of applied sciences. What do they study? German universities offer a wide variety of courses and degrees. In terms of subject groups, the ******* number of students were enrolled in law, economics and sciences, followed by engineering. These numbers might be related to thoughts about the future, when looking at average starting salaries for university graduates by field.

Context

This dataset is originally from Dhaka Stock Exchange Ltd. The objective of the dataset is to assign analytical report writing tasks to Summer 2020 students enrolled in ASDS18: Data Mining course in proceedings of the partial fulfillment of the requirements for the Professional Masters in Applied Statistics and Data Science (PMASDS) degree. This data set was collected using the Dhaka Stock Exchange API.

Content

The datasets consist of several stock company predictor (independent) variables and one target (dependent) variable, Outcome. Independent variables include the last price, net asset value (NAV) of the stock, Earnings Per Share (EPS), price-to-earnings (P/E) ratio of the stock, paid-up capital per share, and so on.

It contains information on 374 listed companies from Dhaka Stock Exchange - DSE, Bangladesh. The outcome tested was Category, 258 tested positive and 500 tested negative. Therefore, there is one target (dependent) variable and 8 attributes.

Acknowledgements

Dr. Md. Rezaul Karim, Associate Professor, Department of Statistics, Jahangirnagar University, Dhaka, Bangladesh (2021) provided us with this dataset. Using the Dhaka Stock Exchange API this data set was collected to assign analytical report writing tasks to Summer 2020 students in proceedings of the partial fulfillment of the requirements for the Professional Masters in Applied Statistics and Data Science (PMASDS) degree.

DSE Listed Companies Database

Inspiration

Dataset used for the case study in the MSc thesis "Robust fleet planning under stochastic demand" and in the OMEGA journal article "Portfolio-based airline fleet planning under stochastic demand".

  The dataset contains:
  - historical passenger data extracted from the TranStats database of the Bureau of Transportation Statistics (BTS/US DOT). The underlying dataset that was used is the T-100 Domestic Market (U.S. Carriers) data table that contains monthly scheduled US domestic passenger data based on a 10 percent ticket sale information dataset, aggregated for all airlines for the period 1990-2014. 
  - estimated parameters, per market, for the the mean reverting Ornstein-Uhlenbeck process.
  - model parameters used in the optimisation model, including aircraft features.
  - computed aggregated transition probabilities used in the discrete-time Markov Chain in the scenario generation model.
  - BTS/US DOT fare data from 2014.

The Light Vehicle Brake Master Cylinder market plays a crucial role in the automotive industry, serving as a key component in the hydraulic braking system of cars, SUVs, and light trucks. Acting as the heart of the braking system, the brake master cylinder converts the force applied by the driver on the brake pedal

This document contains additional information on the study and the full interview data of the 16 recently graduated master students. The students were asked, in the 11 questions lined out below, how they perceive research data management. The questions are grouped together and the numbers in the first column indicate the participant number. The original data has not been modified since the interview itself, so it contains the original notes as written down during the interviews. This means that some sentences do not read as good as after a language check, but it ensures that the reader can easily follow the original line of the interviews and the original notes that led to the report. Next to the original notes including the open and axial coding (table 4), this document also contains the participant’s study and university backgrounds (table 1), an extensive overview of the codes applied to the raw interview data (table 2), and a full list of quotes used in the paper (table 3).

Datasets included in our MS compendium.

This dataset contains quantitative data on urban stream restoration of the Teplica River in Senica, Slovakia, as part of the research project Human-Nature Connectedness of the Teplica Stream in Senica.

In this research, a combined approach across three themes —Biodiversity, Quality of Life, and Climate Adaptation—was used to assess the current condition of the Teplica stream.

For this case study:

• The river was divided into stream segments at 200-meter intervals.
• In each segment, different criteria were measured to determine the current situation, using buffer zones of varying radii around the stream, depending on the specific criteria measured.

Two data-driven methods were applied:

1. Spatial Multi-Criteria Decision Analysis (S-MCDA). S-MCDA was used to weigh and compare the different measured criteria within the objectives of biodiversity, climate adaptation, and quality of life. This method supports decision-making by evaluating and ranking the criteria to identify priority areas for intervention.
2. Typology Construction. Typology construction, using the k-clustering means, was used to group criteria into homogenous clusters based on similarities, allowing the identification of patterns within the dataset. These clusters help to understand which types of interventions would be most impactful within specific segments of the Teplica stream.

In this dataset both the units of measure and the criteria measured can be found.

The identification of differential patterns in data originating from combined measurement techniques such as LC/MS is pivotal to proteomics. Although “shotgun proteomics” has been employed successfully to this end, this method also has severe drawbacks, because of its dependence on largely untargeted MS/MS sequencing and databases for statistical analyses. Alternatively, several MS-signal-based (MS/MS-independent) methods have been published that are mainly based on (univariate) Student’s t-tests. Here, we present a more robust multivariate alternative employing linear discriminant analysis. Like the t-test-based methods, it is applied directly to LC/MS data, instead of using MS/MS measurements. We demonstrate the method on a number of simulated data sets, as well as on a spike-in LC/MS data set, and show its superior performance over t-tests.

MALDI mass spectrometry can generate profiles that contain hundreds of biomolecular ions directly from tissue. Spatially-correlated analysis, MALDI imaging MS, can simultaneously reveal how each of these biomolecular ions varies in clinical tissue samples. The use of statistical data analysis tools to identify regions containing correlated mass spectrometry profiles is referred to as imaging MS-based molecular histology because of its ability to annotate tissues solely on the basis of the imaging MS data. Several reports have indicated that imaging MS-based molecular histology may be able to complement established histological and histochemical techniques by distinguishing between pathologies with overlapping/identical morphologies and revealing biomolecular intratumor heterogeneity. A data analysis pipeline that identifies regions of imaging MS datasets with correlated mass spectrometry profiles could lead to the development of novel methods for improved diagnosis (differentiating subgroups within distinct histological groups) and annotating the spatio-chemical makeup of tumors. Here it is demonstrated that highlighting the regions within imaging MS datasets whose mass spectrometry profiles were found to be correlated by five independent multivariate methods provides a consistently accurate summary of the spatio-chemical heterogeneity. The corroboration provided by using multiple multivariate methods, efficiently applied in an automated routine, provides assurance that the identified regions are indeed characterized by distinct mass spectrometry profiles, a crucial requirement for its development as a complementary histological tool. When simultaneously applied to imaging MS datasets from multiple patient samples of intermediate-grade myxofibrosarcoma, a heterogeneous soft tissue sarcoma, nodules with mass spectrometry profiles found to be distinct by five different multivariate methods were detected within morphologically identical regions of all patient tissue samples. To aid the further development of imaging MS based molecular histology as a complementary histological tool the Matlab code of the agreement analysis, instructions and a reduced dataset are included as supporting information.

Tests with postfix “base” were performed using in-sample test sets. For the others, the supervised set was split into 80% training and 20% testing.

ABSTRACT Objective: To summarize the production of the Professional Master's Program in Nursing Care Management of the Federal University of Santa Catarina, between 2013 and 2016. Method: electronic documental research. After data collection, we analyzed the numbers of defenses in relation to what was predicted by the respective public notices; as well as sex, training time and professional area of the authors; scenario, context and research line; general objective, analysis support model, methodological approach, instruments/techniques of data collection, and technique of analysis; and, finally, technological productions. Results: 57 dissertations were found and subjected to analysis. The highest number of defenses took place in 2016, in the public scenario, in a care context, with a qualitative approach and having assistance protocols as a final product. Conclusion: Although the country has weaknesses in its educational system, results of the post-graduate level stand out through the technological productions of professional master's studies in nursing.