Descriptive data for the ranking criteria of the 198 unique PhD applications and risk of withdrawing from PhD.

Important Factors to Enterprises Hampering the Employment of more PHD Researchers (%) by Nationality of Ownership, Year, Factor and Ranking

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The dataset contains ranking-and-academic-year-, state-, and university/institute-wise compiled data on the total number of students who have graduated in different courses of part and full time doctorate of philosophy (Ph.D), as per the National Institutional Ranking Framework (NIRF) data

Important Factors to Enterprises in Employing PHD Qualified Researchers (%) by Sector of Activity, Year, Factor and Ranking

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This simple dataset contains publication statistics of Swedish PhD and Licentiate thesis in Software Engineering from 1999 to 2018. The contents of this dataset were discussed in a blog post on https://grischaliebel.de.

The data is offered in two formats, xlsx and csv, but with the same content. Names and affiliation are anonymised in the data set to prevent identification of subjects. In the following, we describe the content of the different columns in the table.

Level: 'lic' for Licentiate theses or 'phd' for PhD theses

Year: The year of publication of the thesis

Included: The total number of papers included in the compilation-style thesis.

Listed: Number of papers listed in addition to the included papers (basically "I have also published these, but they are not relevant to the thesis). Note that we cannot distinguish between cases, where no papers are listed because none are published, or because the author decided not to list them.

IncludedPublished: The amount of included papers that are published or accepted for publication.

IncludedSubmitted: The amount of included papers that in submission/under review.

IncludedPublishedISI: The amount of included, published papers that are in ISI-ranked journals.

IncludedPublishedNonISIJ: The amount of included, published papers that are in non ISI-ranked journals.

IncludedPublishedConf: The amount of included, published papers that are in CORE-ranked conferences (any grade).

IncludedPublishedWS: The amount of included, published papers that are in workshops. Non CORE-ranked conferences are counted as workshops as well.

IncludedPublishedOther: The amount of included, published papers that do not fit in any other category (e.g., book chapters, technical reports).

IncludedSubmitted*: Amount of included, submitted papers broken down by category (Journal, conference, workshop, and other).

ListedPublished*: Amount of listed, published papers broken down by category (ISI/Non-ISI Journal, conference, workshop, and other).

ListedSubmitted*: Amount of listed, submitted papers broken down by category (Journal, conference, workshop, and other).

Important Factors to Enterprises Hampering the Employment of more PHD Researchers (%) by Sector of Activity, Year, Factor and Ranking

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These data are used to generate journal research productivity rankings for 120 Ph.D.-granting departments in political science since 1990. The main data set includes data on the number of articles published by department faculty, students, and other affiliates in 19 major political science journals for the years 1990-2018, as well as various rankings of department journal research productivity based on different approaches for weighting the data. We include here a codebook and the Stata file for these data. We also include various codebooks and data sets for each of three decades--1990-1999, 2000-2009, and 2010-2018--so that one can explore changes in department journal research productivity over time.

Mean career index values by degree program, and difference between PhD and BA/MA means, by cohort. 1.

The dataset contains ranking-year-, university/institute-, state-, qualification- and gender-wise compiled data on the number of regular and visiting faculties in educational institutions, along with teaching experience of faculty, as per the National Institutional Ranking Framework (NIRF) data. The different qualifications of faculty members covered in the dataset include M. Pharm, M. Tech, MBA , Other Master Degrees and Doctorate in Philosophy (Ph.D).

Summary statistics for ranking and placement averages for Anthropology programs listed in S1 Table.

Observed, meritocratic, and random allocation to program level (BA, MA, NRC-bottom-half PhD, NRC-top-half PhD) by quartiles (“qtl”) of h and hIann. 1.

This series of experiments is explicitly focused on listeners’ ability to detect change in timbre or sound, rather than differentiating different sounds or sound identities from one another.

The dataset includes auditory stimuli from the experiments, example sounds of experiment results, R and Matlab code for the utilised data analysis, MaxMSP code for running the experiments and a soundfile for the experimental result of research-led practice.

Available downloads:

• Exp01.zip – max routine used for experiment 1, including executable max file (“START HERE – Experiment01.maxpat”), stimuli folder (“Stimuli07”), dummy stimuli (“nullstimuli”) and participant motivating reward pictures (“pictures”)
• Exp01–Analysis.zip – Archive, containing the raw data (“data09.csv”) as well as the Matlab PT plotting script (“means_plot_overall.m”) and musicianship comparison script (“muso_nonmuso.m”) (requires “errorbars_groups” matlab function)
• Exp02.zip – max routine used for experiment 2, including executable max file (“START HERE – Experiment02.maxpat”), stimuli folder (“MatStims”), dummy stimuli (“NullStims”) and participant motivating reward pictures (“pictures”)
• Exp02–Analysis.zip - Archive, containing the raw data (“Exp02data.csv”) as well as the Matlab PT plotting script (“TT-Script.m”) (requires “errorbars_groups” matlab function)
• Exp03.zip – max routine used for experiment 3, including executable max file (“START HERE – Experiment 3.maxpat”) and included synthesiser- (MIDI) and drum-loops (audio)
• Exp03–Analysis.zip – Archive, containing the raw rating data (Ratings.csv + MyMixExp03.csv) as well as the Matlab plotting script (exp3rat.m) (requires “errorbars_groups” matlab function)
• Exp04.zip – max routine used for experiment 4, including executable max file (“START HERE – Experiment 4.maxpat”), synthesiser- (MIDI) and drum-loops (audio) and mix-ranking comparison songs
• Exp 4–Analysis.zip – Archive, containing the raw ranking+FX data (“RatingsExp4.csv”, “MyMixExp04.csv”, “GMSIExp4.csv”, “LongSetExp04.csv”, “longdesc.csv”, “fulldesc.csv”) and the R analysis script (“Exp4.R”)
• Exp03_04–Songs.zip – Sawtooth-Mix and Expert-Mix examples of the songs featured in experiment 3 and 4
• GrinDrone.wav – musical piece, focus part of chapter 10, research-led practice

Precocity and career measures (mean, standard deviation [s.d.]) by NRC rank upper and lower halves, and descending quartiles.

In the academic year 2023/24, there were 331,602 international students from India studying in the United States. International students The majority of international students studying in the United States are originally from India and China, totaling 331,602 students and 277,398 students respectively in the 2023/24 school year. In 2022/23, there were 467,027 international graduate students , which accounted for over one third of the international students in the country. Typically, engineering and math & computer science programs were among the most common fields of study for these students. The United States is home to many world-renowned schools, most notably, the Ivy League Colleges which provide education that is sought after by both foreign and local students. International students and college Foreign students in the United States pay some of the highest fees in the United States, with an average of 24,914 U.S. dollars. American students attending a college in New England paid an average of 14,900 U.S. dollars for tuition alone and there were about 79,751 international students in Massachusetts . Among high-income families, U.S. students paid an average of 34,700 U.S. dollars for college, whereas the average for all U.S. families reached only 28,026 U.S. dollars. Typically, 40 percent of families paid for college tuition through parent income and savings, while 29 percent relied on grants and scholarships.

Trimmed-sample productivity means, overall and by specified cohorts of professional age (years since PhD).

Precocity and career bibliographic measures (mean, standard deviation [s.d.]) by program level for PhD year < 2002. 1.