The ADNI project (2004–ongoing) aims at characterizing change in cognitive functions and brain structures with age, with a particular emphasis on Alzheimer's disease and neuroimaging.
From the website,
The overall goal of this huge project is to define the rate of
progress of mild cognitive impairment and Alzheimer's disease, to
develop improved ...
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 ...
The fMRI Data Center (www.fmridc.org) was one such repository. About ten years ago it was a requirement for publication in the Journal of Cognitive Neuroscience that you submit your full fMRI dataset to the fMRIDC. This requirement was only around for a few years, but they ended up having 120+ datasets before the grant funding ran out. The archive is ...
The Inter-University Consortium for Political and Social Research (ICPSR) provides 8000+ data sets. Topics include aging, criminal justice, education, or health.
As an example, here is my favorite, the summary of the "500 Family Study". This study includes questionnaire, cortisol, and experience sampling data:
The 500 Family Study was designed to obtain ...
The PROMIS project (funded by NIH) built upon a large scale US epidemiological study to assess patient-reported chronic disease outcomes. Data were collected on general population and multiple disease populations in different centers.
From the website,
Patient Reported Outcomes Measurement Information System (PROMIS) is a
system of highly reliable, ...
Some extremely large personality data sets can be downloaded at http://personality-testing.info/_rawdata/ in CSV format.
They are not packaged in R, but I post the link because you indicate in your reply to USER:what that you are having trouble finding any data sets what so ever.
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.
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 ...
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.
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 ...
After asking my question, I did a quick search and found one promising journal that will commence in 2014 called Scientific Data.
Scientific Data is a new open-access, online-only publication for
descriptions of scientifically valuable datasets. It introduces a new
type of content called the Data Descriptor, which will combine
It is not specifically for data from the cognitive sciences but figshare might be worth looking at:
figshare allows researchers to publish all of their research outputs in seconds in an easily citable, sharable and discoverable manner. All file formats can be published, including videos and datasets that are often demoted to the supplemental materials ...
The IQSS Dataverse Network looks good.
From the website:
Access the world's largest collection of social science research data
here by searching across or browsing through one of the virtual data
archives (called "dataverses") listed below. You may also create a
dataverse of your own, backed up in perpetuity by the Henry A. Murray
Archive, which ...
You've described a very general type of study design which has probably been employed in hundreds of studies or more. Your question might profit from a more specific description of the type of study you're looking for.
A few examples that fit the bill just off the top of my head are:
Goldstone (1996) Isolated and interrelated concepts
Zaki and Homa (1999) ...
From an ethical standpoint, not including interim evaluations may be bad practice.
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 ...
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 ...
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/...
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 ...
This question asks about Psychological journal that focuses on publishing interesting psychological datasets journals where you can publish psychological data.
Such journals rely on other organisations to provide repositories for the published datasets.
In particular, the journal Open Psychological Data has a page which lists several data repositories along ...
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 ...
This might be better suited as a comment, but I'm not allowed to post such.
I went through the nice list collected by Craig Bennett:
nitrc.org: Data has been preprocessed, but there is no complete list of what has been done, and how the data has been collected. Maybe the information is hidden in the previous publications. Anyway, I would not use it for ...
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;
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 ...
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 ...
Another good set of psychological datasets can be found on the website of the European Journal of Psychological Assessment:
There are datasets aligned with over 20 studies often in the area of psychological tests.
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 ...
It's not exactly what you're after, but the Newcastle Cognition Lab has a data repository. It includes a number of learning curve datasets and other studies that measured response time to various simple cognitive tasks.