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    PDB: 5OCX, Crystal structure of CII-C-13-CIT (311K, 38°C, 100 ns): random seed #1

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    Crystal structure of CII-C-13-CIT (311K, 38°C, 100 ns): random seed #1. PDBs obtained every 50 ns

    Replication Data for: "Political Science as a Dependent Variable: The National Science Foundation and the Shaping of a Discipline"

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    From 1965 to 2020, the National Science Foundation constituted the single largest funding source for political science research. As such, the NSF played a central role in defining the cutting-edge of our discipline. This study draws on materials from the American Political Science Association Archive to examine the political and administrative contexts that shaped the funding priorities of the NSF Political Science Program. Additionally, the study presents a new dataset and analysis of the nearly three thousand projects funded over the 55-year life of the Program. The dataset shows that NSF funding leaned heavily toward quantitative research. Research utilizing qualitative methods received little support, and work advancing normative, critical, or interpretive approaches received virtually no support. The archival record and awards-level data make visible the material forces that shaped new knowledge production, and they underline the NSF’s instrumental role in consolidating behavioralism and marginalizing non-positivist approaches. The study sheds new light on the history of the discipline and helps to contextualize some of the distinctive features of American political science

    Raw dataset of survey for How sustainable are cultural organizations? A global benchmark

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    Raw dataset of survey on the sustainability of cultural organisations around the world (N=206

    Replication Data for: Introducing ICBe: An Event Extraction Dataset from‬ ‭Narratives about International Crises

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    How do international crises unfold? We conceptualize international relations as a strategic chess game between adversaries and develop a systematic way to measure pieces, moves, and gambits accurately and consistently over a hundred years of history. We introduce a new ontology and dataset of international events called ICBe based on a very high-quality corpus of narratives from the International Crisis Behavior (ICB) Project. We demonstrate that ICBe has higher coverage, recall, and precision than existing state of the art datasets and conduct two detailed case studies of the Cuban Missile Crisis (1962) and the Crimea-Donbas Crisis (2014). We further introduce two new event visualizations (event iconography and crisis maps), an automated benchmark for measuring event recall using natural language processing (synthetic narratives), and an ontology reconstruction task for objectively measuring event precision. We make the data, supplementary appendix, replication material, and visualizations of every historical episode available at a companion website crisisevents.org

    NMF2.0-social

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    This Dataset contains the training data and trained models used in the semester project NMF2.0-social, a multi-fly social extension of NeuroMechFly2.0

    PDB: 1OB1: Crystal structure of a Fab complex whith Plasmodium falciparum MSP1-19 (313K, 40°C, 100 ns)

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    Crystal structure of a Fab complex whith Plasmodium falciparum MSP1-19 (313K, 40°C, 100 ns): PDBs obtained every 50 ns

    Replication Data for: From Barack Obama to Donald Trump: The Evolution of Moral Appeals in National Conventions

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    Do Democrats and Republicans appeal to different sets of moral foundations in their national convention speeches? Do they make efforts to frame their messages so that it is attractive to their base and moderate voters? This study examines the moral appeals that political elites use to communicate to their supporters. I analyze speeches starting from the 2008 to the 2020 Republican and Democrat National Conventions to see if there are differences in appeals to Harm, Fairness, Ingroup, Authority and Purity, which are tenets of the Moral Foundations Theory. I find that Republicans are more likely to appeal to Authority, and in 2020, Purity, while Democrats appeal mostly to Harm. Using qualitative content analyses, we see that both parties apply the moral language favored by the other side in their convention speeches on top of making appeals to moral foundations that are favored by their own base

    Replication Data for "Politicians’ Labor Market Experiences across Party Families"

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    This replication package provides all of the do-files necessary to run the analysis along with the log-files for each do-files. As the data can only be accessed through the secure servers of statistics Sweden by project members any replication would require the order of the data. However, the authors can be contacted for specific replication requests

    Replication Data for: A cross-session motor imagery EEG dataset

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    # Pan2023 Dataset Documentation # This is a replication of the "A cross-session motor imagery EEG dataset" dataset, the .mat file version is v7.0. ## Abstract The Pan2023 dataset is a collection of electroencephalography (EEG) signals from 14 subjects performing motor imagery (MI) tasks across two sessions. The dataset aims to facilitate the study of cross-session variability in MI-EEG signals and to support the development of robust brain-computer interface (BCI) systems. ## Dataset Composition The dataset encompasses EEG recordings from 14 subjects, each participating in two sessions. The sessions involve MI tasks with visual cues for left-handed and right-handed movements. Data acquisition was performed using a Neuroscan SynAmps2 amplifier, equipped with 28 scalp electrodes following the international 10-20 system. The EEG signals were sampled at a frequency of 250Hz, with a band-pass filter applied from 0.01 to 200Hz to mitigate power line noise. The collected data is stored in Matlab format, labeled by subject and session number. ## Participants The participant cohort includes 14 individuals (five females), aged 22 to 25, with two reporting left-handedness. All subjects were screened for neurological and movement disorders, ensuring a healthy participant profile for the study. ## Experimental Paradigm Each experimental session comprised 120 trials, segmented into three distinct phases: Rest, Preparation, and Task. During the Rest Period (2 seconds), subjects were instructed to remain relaxed without engaging in mental tasks. The Preparation Period (1 second) involved a 'Ready' cue on the monitor, prompting subjects to focus and prepare for the upcoming MI task. The Task Period (4 seconds) required subjects to perform the MI task, visualizing the movement corresponding to the provided cues, either left or right-handed. This paradigm was designed to occur in a controlled, distraction-free environment. ## Data Acquisition and Preprocessing EEG signals were captured using a Neuroscan SynAmps2 amplifier and 28 scalp electrodes positioned per the 10-20 system. The sampling rate was set at 1000Hz, and a band-pass filter from 0.01 to 200Hz and a notch filter at 50Hz were employed to exclude power line interference. The signals were downsampled to 250Hz and archived in Matlab format, systematically named by subject and session identifiers. ## Data Structure The dataset's structure is encapsulated in a Matlab file, comprising a struct with the following components: - `data`: A 3D matrix (`[n_trials, n_channels, n_samples]`) containing the EEG signals. - `label`: A vector (`[n_trials]`) denoting each trial's label (1 for left-handed, 2 for right-handed movement). - `trial_info`: A struct detailing each trial's phase (1 for Rest, 2 for Preparation, 3 for Task), the visual cue (1 for left-handed, 2 for right-handed movement), and the subject's identifier

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