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Antoine Tremblay has just released an advanced analysis toolbox: http://onlinelibrary.wiley.com/doi/10.1111/psyp.12299/abstract
It's missing about half the features on your list, although fundamentally, spectral density is a simple task and LORETA is a stand-alone package anyways (although similar approaches, e.g. general CSD estimation, are implemented in ...
9
I have found a list of Python and Matlab packages. I'll summarize them over here. As soon as I have gone through the packages, I'll provide some additional details.
Online
edaExplorer: Also in Python.*
EdaExplorer is a tool that is able to detect noisy data from clean data. Five second epochs are made which will be categorized by a model that is the result ...
9
I would recommend the 730 pictures Geneva affective picture database (GAPED).
It has been validated worldwide, and the cultural bias is more limited than other image resources.
There are general positive/neutral/negative images, with valence and activations scores. Some other more specific images are also provided (snakes, spîders).
Download the datebase ...
7
Try the IAPS--International Affective Picture System; they have disgusting images as well as norming procedures and data. You can read about it here and request it (as long as you have a faculty advisor) here.
5
In The Personality Puzzle (2012), David Funder describes a taxonomy of four different kinds of data that I've always found useful. The Personality Puzzle is a textbook in personality psychology, so its take on psychology is somewhat more as a social than biological science (though biology has its place too).
Briefly, here are the four kinds of data as ...
5
Short answer
From an ethical standpoint, not including interim evaluations may be bad practice.
Background
I will start off with a more extreme case than in your question example, just for illustrative purposes, namely that of a clinical intervention study. If it appears that the treatment group (say, experimental medicine Y, instead of the standard of care ...
5
gjacob is correct that optional stopping is a common research degree of freedom, and one that has a considerable and unfortunate intuitive basis. Yet, depending on the context of your research, AliceD's concerns are also important.
There is, however, a middle ground between not checking at all, and p-hacking: sequential analysis. There is a Bayesian version ...
5
I know that Helen Fisher, who is a love researcher, has developed a four factor personality model where two of the factors are quite relevant to your question. See (Fisher et al, 2015) for some general information regarding the personality model. The two factors that are relevant to your question are called (1) analytical/tough-minded, and (2) Prosocial/...
5
Participants at the last meeting of the Society for the Improvement of Psychological Science developed a list of >100 such datasets with some metadata such as topic, country, total number of participants, etc. The list is currently a collaborative wiki open to editing by anyone.
List of open psychology datasets and aggregators
Outside of psychology, there ...
4
Really, there's two kinds of data in cognitive science, information (the data used by the cognitive systems we're interested in), and experimental data (and similar, such as correlational data), which we collect and analyse to try and better understand cognition.
It sounds like your question is about information, so I'll focus on that, but please correct me ...
4
The difference is rather simple. NN-intervals refer to the intervals between normal R-peaks. During a measurement, artifacts may arise due to arrhythmic events or faulty sensors, for example (Citi, Brown & Barbieri, 2012). This may lead to abnormal R-peaks, which may in turn distort the statistical measures. To ensure reliable and valid data, only normal ...
4
I am not an expert on these scales, but my 2-cents worth would be the following, which are simple work-arounds to include all the data:
Fine as is;
Take the middle of the thick line (the 'average');
Take the center of the circle (draw a cross in it, the intersection is the middle);
Apparently "0" - no pain;
Take the tip as the marker;
Apparently "100".
As ...
4
You kind of have to do some kind of baseline correction first (or a highpass filter on the unepoched data) because of slow drifting. Lowpass filtering before artifact rejection is fine as long as you don't ever go back to the unfiltered signal in your analyses.
After that, you can either throw out trials that exceed a set threshold, or you can do a two-step ...
4
There is probably a better way of doing this, but you could probably do this using the block feature in Qualtrics. For example, I often do this when I have several multi-item scales. Each scale is a block. You might randomise item order within a block, but you can also randomise the order of blocks.
So you could group questions (e.g., 1 and 1a) into their ...
3
A variety of packages exist that allow the calculation of these metrics. I will describe these packages by category:
Software
Kubios is a program from Finland that has a nice GUI, in which you can import both ECG data or IBI (not PPG), to calculate all the metrics. They support some a variety of file-formats, but you can import any other text-file with ...
3
I couldn't find the SCID anywhere on the web. So i did some digging I found one literature search that used the DSM SCID as an example of a semi-structured interview from which GF data could be found (H Monrad, 2014). I also found that DSM- 5 had removed the GF scale (Gold, 2014), but presumably the alternative measures the same properties.
the Global ...
3
NAPS
Marchewka A, Żurawski L, Jednoróg K, Grabowska A. The Nencki Affective Picture System (NAPS). Introduction to a novel standardized wide range high quality realistic pictures database.Behavior Research Methods, 46: 596-610, 2014
Selecting appropriate stimuli to induce emotional states is essential in affective research. Only a few standardized ...
3
Of course, the type of data you use depends lot on what your model purports to explain. The way i take your question, you are looking for straight up artificial classification learning experiments. Is this correct?
If so, John Kruschke has published several of his most important datasets on his website. I have often used these in my model testing. His '93 ...
3
What you are looking for is called Hierarchical, Multi-level or Random-effects model. In your particular case the solution is a hierarchical logistic regression.
Assume $y_{st} \in \{0,1\}$ is the response of subject $s$ on trial $t$ and $x$ is the dependent variable then a simple hierarchical model that solves your problem is:
$y_{st}\sim \mathrm{...
3
Another good set of psychological datasets can be found on the website of the European Journal of Psychological Assessment:
https://us.hogrefe.com/products/journals/ejpa/special-features
There are datasets aligned with over 20 studies often in the area of psychological tests.
3
Short answer
Averaging psychometric curves may not be the preferred way to pool psychophysical data.
background
Typically, extracted gold-standard outcome measures from the psychometric curves will be pooled and averaged to perform statistical analyses and so on.
For example, in the visual sciences a much-used outcome measure is the visual acuity where, for ...
3
HRV measures
Measures of heart-rate variability (HRV) are primarily calculated with the Inter-beat interval (IBI), also referred to as RR-intervals or NN-intervals (see this question). Some variables in the time domain are :
SDNN/SDANN
NN50 / pNN50
SDSD
rMSSD
And many more (see also the rHRV tutorial, which also describes frequency-domain measures).
EDA ...
3
This is an important question! This practice ("optional stopping" if you stop collecting data based on your early analyses, or "peeking" if you continue collecting data) is considered a bad idea nowadays. It's a "researcher degree of freedom"--a practice that, in the long run and averaged across the field, appears to (empirically) result in high false-...
3
Here this question on the psychology & neuro exchange has several cognitive test datasets.
Online data repository of research in the cognitive sciences
2
There was recently an issue about repositories for neuroimaging data. I just copied the table listing all of them from this paper. (Feel free to add links, I will do so when I have more time.)
Title, Author
The NITRC image repository,Kennedy D.N. et al.
The Function Biomedical Informatics Research Network data repository,Keator D.B. et al.
The image and ...
2
There is one for Trypophobia Image Detector - Browser Plugin using Deep Learning (repo: https://github.com/cytadela8/trypophobia).
Download the data set v2 prepared in 2017-09
Note: The provided images may be or not be subjected to copyright. By downloading the data set you agree to use it only for research purposes.
6.5k trypophobia ...
2
For the sake of completeness:
eegkit, see https://cran.r-project.org/web/packages/eegkit/index.html
For "historical purposes" perhaps the following could also be of interest, although development seems somewhat stagnant lately: https://rdrr.io/cran/eegAnalysis/
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