110 Works

Twemoji Dataset

S.H. Cappallo
Collection of 13M tweets divided into training, validation, and test sets for the purposes of predicting emoji based on text and/or images.

Twemoji Dataset

S.H. Cappallo
Collection of 13M tweets divided into training, validation, and test sets for the purposes of predicting emoji based on text and/or images.
The data provides the tweet status ID and the emoji annotations associated with it. In the case of image-containing subsets, the image URL is also listed.
The Full, unbalanced dataset consists of a random test and validation sets of 1M tweets, with the remainder in the training set.
The Balanced testset is a subset of the...

KankerNL.dms

R. Sanders
Raw kankernl data encrypted using veracrypt

Search strategy

J.P.C. Staaks & E. Van Ewijk
Search strategy for the systematic review from the project "Putting heads together: knowledge brokering and co-creation in Food & Business Research"

Search Strategy

J.P.C. Staaks & E. Van Ewijk
Search strategy for the systematic review from the project: "Putting heads together: knowledge brokering and co-creation in food & business research"

Final Grades BayesStats 2018

A.S.G. Sarafoglou & M. Marsman
Individual Grades and Final Grades of Students who followed the Bachelor course 'Introduction to Bayesian Statistics 2018'

Search Strategy

J.P.C. Staaks & E. Van Ewijk
Search strategy for the systematic review from the project: "Putting heads together: knowledge brokering and co-creation in food & business research"

NACCA.eu research data platform: user study, benchmark study and experience so far

Dusan Barok
Presented at the "Figshare in Amsterdam” event at the Library of the University of Amsterdam, 30 May 2017.

Presentations 'figshare in Amsterdam' event, 30 May 2017

M. Van Selm, Mark Hahnel & Dusan Barok
Presentations held at the 'figshare in Amsterdam' event on May 30th, 2017, attended by representatives of IT departments and Libraries of Dutch institutes for higher education.

Raw measurements for the statistics

P.L.E.A. Bazin
These spreadsheets combine all the measurements made in the associated article.

Transitivity prominence in Russian Sign Language based on corpus data

V. Kimmelman
These are two data files and one R script used in the analysis of transitivity of verbs in the corpus of Russian Sign Language, reported in the following paper:
Kimmelman, V. (2016). Transitivity in RSL: a corpus-based account. In E. Efthimiou, S-E. Fotinea, T. Hanke, J. Hochgesang, J. Kristoffersen, & J. Mesch (Eds.), Proceedings of the 7th Workshop on the representation and processing of Sign Languages: Corpus Mining (pp. 117-120). ELRA.

Please read the paper for...

Muro Tenente, Italy, LiDAR animation

J. Waagen
Digital Terrain Model of Muro Tenente, archaeological site in Italy. Animation made in Blender with sunlight rotating around a central axis, to dynamically show shading effects.
Illustration made by Tijm Lanjouw (4D Research Lab, UvA) for the article 'LiDAR for Italian Archaeology' by Jitte Waagen (ACASA, UvA/4D Research Lab).

Included and Excluded references

E. Van Ewijk
Included and excluded references. The references were screened with Rayyan by E. van Ewijk (reviewer1) and a student research assistent (reviewer2)

Search strategy

J.P.C. Staaks & E. Van Ewijk
Search strategy for the systematic review from the project "Putting heads together: knowledge brokering and co-creation in Food & Business Research"

Temporal attention and the SSVEP

A. Mora Cortes, K.R. Ridderinkhof & M.S. Cohen
Understanding how temporal expectations influence our behaviour has become a growing and exciting fiel for cognitive neuroscience researches. And, to provide further evidence on the psychophysiology of temporal expectations is one the cornerstones to achieve. Because of this we implemented a novel approach where we combined a temporal expectation task with the Stead-state visual evoked potentials (SSVEP). We wanted to evaluate the feasibility of the SSVEP to study temporal attention. Our results provided evidence for...

data WIFI trial; wound infection following implant removal

F.R.K. Sanders, T. Schepers, M. Backes, S.A. Dingemans, M.G.W. Dijkgraaf, H.R. Van Den Berg, B. Van Dijkman, J.M. Hoogendoorn, P. Joosse, E.D. Ritchie, W.H. Roerdink, J.P.M. Schots, N.L. Sosef, I.J.B. Spijkerman, B.A. Twigt, A.H. Van Der Veen, R.N. Van Veen, J. Vermeulen, D.I. Vos, J. Winkelhagen & J.C. Goslings
Multicenter, double-blind, randomized clinical trial including 500 patients aged 18 to 75 years with previous surgical treatment for fractures below the knee who were undergoing removal of orthopedic implants from 19 hospitals (17 teaching and 2 academic) in the Netherlands (November 2014-September 2016), with a follow-up of 6 months (final follow-up, March 28, 2017). Exclusion criteria were an active infection or fistula, antibiotic treatment, reimplantation of osteosynthesis material in the same session, allergy for cephalosporins,...

The role of numbers in allocating spatial attention, a parity classification task

A. Mora Cortes, K.R. Ridderinkhof & Michael S Cohen
It has been proposed that numbers have an effect in allocating spatial attention. In this study I wanted to evaluate the SNARC effect and the proposal that our brain represents numbers in a horizontal mental number line (MNL). In the parity task numbers are relevant for the task but not their magnitude. Participants were requested to classify numbers presented on the screen as even with the right hand and odd with the left hand. The...

Assignments Bayesian Statistics 2018

A.S.G. Sarafoglou & M. Marsman
This file contains all student assignments in the 2018 Bachelor course 'Introduction to Bayesian Statistics'.

NACCA Project Database Questionnaire Results

Dusan Barok
Results of the survey conducted in January 2016 during the NACCA Winter School 1 at the University of Maastricht.

CCC Manual (2005-2014)

Karel Dibbets
CCCmanual is a series of HTML webpages containing a manual for the editors of Cinema Context for online data entry. Cinema Context is a historical data collection for the history of film culture, in particular the screening and distribution of films in the Netherlands. The data collection and the website are managed by the Library of the University of Amsterdam. NWO has been the main financier of the instrument. In 2005, project leader Karel Dibbets...

Example MP2RAGEME data set

P.L.E.A. Bazin
This is a sample data set of high resolution brain images obtained with the MP2RAGEME sequence (Caan et al., HBM 2018). This sample is a slab of data covering only a central portion of the brain, centered on the subcortex, and acquired with an isotropic resolution of 0.5mm.

No evidence that frontal eye field tDCS affects latency or accuracy of prosaccades

L.C. Reteig, Tomas Knapen, Floris Roelofs, K.R. Ridderinkhof & H.A. Slagter
This dataset accompanies this project page on the Open Science Framework: https://osf.io/8jpv9/. The peer-reviewed publication associated with this dataset is: https://doi.org/10.3389/fnins.2018.00617

See the enclosed README for a description of all the files

Overview of publications reporting use of Cinema Context.xlsx

J.J. Noordegraaf
This dataset contains a hand-compiled overview of journal articles, books and PhD dissertations that report usage of the Cinema Context database on Dutch film culture (www.cinemacontext.nl). The set contains publications from researchers affiliated with the HoMER Network known to the authors. A search in Google Books and Google Scholar (with the query ) yielded an additional set of relevant publications, and Google Search ( and ) yet a handful of others. This has resulted in...

How a Library acquires an RDM system, or: implementing figshare for institutions in Amsterdam

M. Van Selm
Presentation for Library and IT colleagues from other Dutch HEIs on the implementation of figshare for insitutions at the University of Amsterdam and the Amsterdam University of Applied Sciences, 30 May 2017.

CPR-annotations

C.D. Vavourakis
These 73 MAGs were recovered from the metagenomes of hypersaline soda lake sediments in the Kulunda Steppe (Siberia, Russian Federation).

Registration Year

  • 2017
    22
  • 2018
    61
  • 2019
    27

Resource Types

  • Dataset
    40
  • Collection
    30
  • Audiovisual
    17
  • Text
    14
  • Image
    4
  • Software
    4
  • Other
    1