search

psychoinformatics-de / studyforrest-data

DataLad superdataset of all studyforrest.org project dataset components
https://studyforrest.org
7 stars 2 forks source link

Update list of dataset consumer publications on website #10

Closed mih closed 3 years ago

mih commented 3 years ago

https://www.studyforrest.org/publications.html

Last update in 2019

adswa commented 3 years ago

Is there interest in automating this? https://scholarly.readthedocs.io should provide means to do this

adswa commented 3 years ago

Sadly, Google scholar blocks request incredibly fast

adswa commented 3 years ago

Got a table! @aqw could you check if this would be an output that you can work with?

It lists all publications from PubMed that cite any of the 2014 (audiomovie) or 2016 (both studyforrest extensions) data descriptors.

  <table id='sort-me'>
  <thead>
    <tr>
      <th>Title</th>
      <th>Authors</th>
      <th>Journal</th>
      <th>Date</th>
    </tr>
  </thead>
  <tbody><td><a class="reference external" href=https://www.doi.org/10.12688/f1000research.27621.1>A studyforrest extension, an annotation of spoken language in the German dubbed movie “Forrest Gump” and its audio-description</a></td>
      <td>Häusler CO, Hanke M</td>
      <td>F1000Research</td>
      <td>2021 Jan 28</td>

<td><a class="reference external" href=https://www.doi.org/10.1371/journal.pone.0248341>Quantity and quality: Normative open-access neuroimaging databases</a></td>
      <td>Isherwood SJ, Bazin PL, Alkemade A, Forstmann BU</td>
      <td>PLoS ONE</td>
      <td>2021 Mar 11</td>

<td><a class="reference external" href=https://www.doi.org/10.12688/f1000research.27621.1>A studyforrest extension, an annotation of spoken language in the German dubbed movie “Forrest Gump” and its audio-description</a></td>
      <td>Häusler CO, Hanke M</td>
      <td>F1000Research</td>
      <td>2021 Jan 28</td>

<td><a class="reference external" href=https://www.doi.org/10.1002/hbm.25189>Subject‐specific segregation of functional territories based on deep phenotyping</a></td>
      <td>Pinho AL, Amadon A, Fabre M, Dohmatob E, Denghien I, Torre JJ, Ginisty C, Becuwe‐Desmidt S, Roger S, Laurier L, Joly‐Testault V, Médiouni‐Cloarec G, Doublé C, Martins B, Pinel P, Eger E, Varoquaux G, Pallier C, Dehaene S, Hertz‐Pannier L, Thirion B</td>
      <td>Human Brain Mapping</td>
      <td>2020 Dec 24</td>

<td><a class="reference external" href=https://www.doi.org/10.1371/journal.pcbi.1008457>Searching through functional space reveals distributed visual, auditory, and semantic coding in the human brain</a></td>
      <td>Kumar S, Ellis CT, O’Connell TP, Chun MM, Turk-Browne NB</td>
      <td>PLoS Computational Biology</td>
      <td>2020 Dec 3</td>

<td><a class="reference external" href=https://www.doi.org/10.1038/s41597-020-00735-4>An fMRI dataset in response to “The Grand Budapest Hotel”, a socially-rich, naturalistic movie</a></td>
      <td>Visconti di Oleggio Castello M, Chauhan V, Jiahui G, Gobbini MI</td>
      <td>Scientific Data</td>
      <td>2020 Nov 11</td>

<td><a class="reference external" href=https://www.doi.org/10.1038/s41597-020-00670-4>Individual Brain Charting dataset extension, second release of high-resolution fMRI data for cognitive mapping</a></td>
      <td>Pinho AL, Amadon A, Gauthier B, Clairis N, Knops A, Genon S, Dohmatob E, Torre JJ, Ginisty C, Becuwe-Desmidt S, Roger S, Lecomte Y, Berland V, Laurier L, Joly-Testault V, Médiouni-Cloarec G, Doublé C, Martins B, Salmon E, Piazza M, Melcher D, Pessiglione M, van Wassenhove V, Eger E, Varoquaux G, Dehaene S, Hertz-Pannier L, Thirion B</td>
      <td>Scientific Data</td>
      <td>2020 Oct 16</td>

<td><a class="reference external" href=https://www.doi.org/10.16910/jemr.13.4.5>Two hours in Hollywood: A manually annotated ground truth data set of eye movements during movie clip watching</a></td>
      <td>Agtzidis I, Startsev M, Dorr M</td>
      <td>Journal of Eye Movement Research</td>
      <td>2020 Jul 27</td>

<td><a class="reference external" href=https://www.doi.org/10.1016/j.neuroimage.2020.116865>Leveraging shared connectivity to aggregate heterogeneous datasets into a common response space</a></td>
      <td>Nastase SA, Liu YF, Hillman H, Norman KA, Hasson U</td>
      <td>NeuroImage</td>
      <td>2020 Apr 21</td>

<td><a class="reference external" href=https://www.doi.org/10.3758/s13428-020-01428-x>REMoDNaV: robust eye-movement classification for dynamic stimulation</a></td>
      <td>Dar AH, Wagner AS, Hanke M</td>
      <td>Behavior Research Methods</td>
      <td>2020 Jul 24</td>

<td><a class="reference external" href=https://www.doi.org/10.1002/hbm.25189>Subject‐specific segregation of functional territories based on deep phenotyping</a></td>
      <td>Pinho AL, Amadon A, Fabre M, Dohmatob E, Denghien I, Torre JJ, Ginisty C, Becuwe‐Desmidt S, Roger S, Laurier L, Joly‐Testault V, Médiouni‐Cloarec G, Doublé C, Martins B, Pinel P, Eger E, Varoquaux G, Pallier C, Dehaene S, Hertz‐Pannier L, Thirion B</td>
      <td>Human Brain Mapping</td>
      <td>2020 Dec 24</td>

<td><a class="reference external" href=https://www.doi.org/10.1038/s41597-020-00670-4>Individual Brain Charting dataset extension, second release of high-resolution fMRI data for cognitive mapping</a></td>
      <td>Pinho AL, Amadon A, Gauthier B, Clairis N, Knops A, Genon S, Dohmatob E, Torre JJ, Ginisty C, Becuwe-Desmidt S, Roger S, Lecomte Y, Berland V, Laurier L, Joly-Testault V, Médiouni-Cloarec G, Doublé C, Martins B, Salmon E, Piazza M, Melcher D, Pessiglione M, van Wassenhove V, Eger E, Varoquaux G, Dehaene S, Hertz-Pannier L, Thirion B</td>
      <td>Scientific Data</td>
      <td>2020 Oct 16</td>

<td><a class="reference external" href=https://www.doi.org/10.1038/s41597-020-00680-2>A naturalistic neuroimaging database for understanding the brain using ecological stimuli</a></td>
      <td>Aliko S, Huang J, Gheorghiu F, Meliss S, Skipper JI</td>
      <td>Scientific Data</td>
      <td>2020 Oct 13</td>

<td><a class="reference external" href=https://www.doi.org/10.1016/j.neuroimage.2020.116865>Leveraging shared connectivity to aggregate heterogeneous datasets into a common response space</a></td>
      <td>Nastase SA, Liu YF, Hillman H, Norman KA, Hasson U</td>
      <td>NeuroImage</td>
      <td>2020 Apr 21</td>

<td><a class="reference external" href=https://www.doi.org/10.1002/hbm.25189>Subject‐specific segregation of functional territories based on deep phenotyping</a></td>
      <td>Pinho AL, Amadon A, Fabre M, Dohmatob E, Denghien I, Torre JJ, Ginisty C, Becuwe‐Desmidt S, Roger S, Laurier L, Joly‐Testault V, Médiouni‐Cloarec G, Doublé C, Martins B, Pinel P, Eger E, Varoquaux G, Pallier C, Dehaene S, Hertz‐Pannier L, Thirion B</td>
      <td>Human Brain Mapping</td>
      <td>2020 Dec 24</td>

<td><a class="reference external" href=https://www.doi.org/10.1016/j.pneurobio.2020.101887>Using high spatial resolution fMRI to understand representation in the auditory network</a></td>
      <td>Moerel M, Yacoub E, Gulban OF, Lage-Castellanos A, Martino FD</td>
      <td>Progress in neurobiology</td>
      <td>2020 Aug 1</td>

<td><a class="reference external" href=https://www.doi.org/10.1016/j.neuroimage.2020.117445>Movies and narratives as naturalistic stimuli in neuroimaging </a></td>
      <td>Jääskeläinen IP, Sams M, Glerean E, Ahveninen J</td>
      <td>NeuroImage</td>
      <td>2020 Oct 12</td>

<td><a class="reference external" href=https://www.doi.org/10.1016/j.neuroimage.2020.117254>Keep it real: rethinking the primacy of experimental control in cognitive neuroscience</a></td>
      <td>Nastase SA, Goldstein A, Hasson U</td>
      <td>NeuroImage</td>
      <td>2020 Aug 13</td>

<td><a class="reference external" href=https://www.doi.org/10.1371/journal.pcbi.1008457>Searching through functional space reveals distributed visual, auditory, and semantic coding in the human brain</a></td>
      <td>Kumar S, Ellis CT, O’Connell TP, Chun MM, Turk-Browne NB</td>
      <td>PLoS Computational Biology</td>
      <td>2020 Dec 3</td>

<td><a class="reference external" href=https://www.doi.org/10.1038/s41597-020-00735-4>An fMRI dataset in response to “The Grand Budapest Hotel”, a socially-rich, naturalistic movie</a></td>
      <td>Visconti di Oleggio Castello M, Chauhan V, Jiahui G, Gobbini MI</td>
      <td>Scientific Data</td>
      <td>2020 Nov 11</td>

<td><a class="reference external" href=https://www.doi.org/10.1038/s41597-020-00670-4>Individual Brain Charting dataset extension, second release of high-resolution fMRI data for cognitive mapping</a></td>
      <td>Pinho AL, Amadon A, Gauthier B, Clairis N, Knops A, Genon S, Dohmatob E, Torre JJ, Ginisty C, Becuwe-Desmidt S, Roger S, Lecomte Y, Berland V, Laurier L, Joly-Testault V, Médiouni-Cloarec G, Doublé C, Martins B, Salmon E, Piazza M, Melcher D, Pessiglione M, van Wassenhove V, Eger E, Varoquaux G, Dehaene S, Hertz-Pannier L, Thirion B</td>
      <td>Scientific Data</td>
      <td>2020 Oct 16</td>

<td><a class="reference external" href=https://www.doi.org/10.1038/s41597-020-00680-2>A naturalistic neuroimaging database for understanding the brain using ecological stimuli</a></td>
      <td>Aliko S, Huang J, Gheorghiu F, Meliss S, Skipper JI</td>
      <td>Scientific Data</td>
      <td>2020 Oct 13</td>

<td><a class="reference external" href=https://www.doi.org/10.1007/s11571-020-09579-5>Investigating time-varying functional connectivity derived from the Jackknife Correlation method for distinguishing between emotions in fMRI data</a></td>
      <td>Ghahari S, Farahani N, Fatemizadeh E, Motie Nasrabadi A</td>
      <td>Cognitive Neurodynamics</td>
      <td>2020 Mar 29</td>

<td><a class="reference external" href=https://www.doi.org/10.1038/s41467-019-13541-3>Individual face- and house-related eye movement patterns distinctively activate FFA and PPA</a></td>
      <td>Wang L, Baumgartner F, Kaule FR, Hanke M, Pollmann S</td>
      <td>Nature Communications</td>
      <td>2019 Dec 4</td>

<td><a class="reference external" href=https://www.doi.org/10.1371/journal.pone.0222914>Intersubject MVPD: Empirical comparison of fMRI denoising methods for connectivity analysis</a></td>
      <td>Li Y, Saxe R, Anzellotti S</td>
      <td>PLoS ONE</td>
      <td>2019 Sep 24</td>

<td><a class="reference external" href=https://www.doi.org/10.1016/j.neuroimage.2019.116330>Nature abhors a paywall: How open science can realize the potential of naturalistic stimuli</a></td>
      <td>DuPre E, Hanke M, Poline JB</td>
      <td>NeuroImage</td>
      <td>2019 Nov 5</td>

<td><a class="reference external" href=https://www.doi.org/10.1093/cercor/bhz157>Evaluating fMRI-Based Estimation of Eye Gaze During Naturalistic Viewing</a></td>
      <td>Son J, Ai L, Lim R, Xu T, Colcombe S, Franco AR, Cloud J, LaConte S, Lisinski J, Klein A, Craddock RC, Milham M</td>
      <td>Cerebral Cortex (New York, NY)</td>
      <td>2019 Oct 9</td>

<td><a class="reference external" href=https://www.doi.org/10.3389/fpsyg.2019.02769>Educational fMRI: From the Lab to the Classroom</a></td>
      <td>Seghier ML, Fahim MA, Habak C</td>
      <td>Frontiers in Psychology</td>
      <td>2019 Dec 6</td>

<td><a class="reference external" href=https://www.doi.org/10.1038/s41467-019-13599-z>Emotionotopy in the human right temporo-parietal cortex</a></td>
      <td>Lettieri G, Handjaras G, Ricciardi E, Leo A, Papale P, Betta M, Pietrini P, Cecchetti L</td>
      <td>Nature Communications</td>
      <td>2019 Dec 5</td>

<td><a class="reference external" href=https://www.doi.org/10.1038/s41597-019-0303-3>A manually denoised audio-visual movie watching fMRI dataset for the studyforrest project</a></td>
      <td>Liu X, Zhen Z, Yang A, Bai H, Liu J</td>
      <td>Scientific Data</td>
      <td>2019 Nov 29</td>

<td><a class="reference external" href=https://www.doi.org/10.1038/s41597-019-0209-0>A dataset of continuous affect annotations and physiological signals for emotion analysis</a></td>
      <td>Sharma K, Castellini C, van den Broek EL, Albu-Schaeffer A, Schwenker F</td>
      <td>Scientific Data</td>
      <td>2019 Oct 9</td>

<td><a class="reference external" href=https://www.doi.org/10.1371/journal.pone.0222914>Intersubject MVPD: Empirical comparison of fMRI denoising methods for connectivity analysis</a></td>
      <td>Li Y, Saxe R, Anzellotti S</td>
      <td>PLoS ONE</td>
      <td>2019 Sep 24</td>

<td><a class="reference external" href=https://www.doi.org/10.1016/j.neuroimage.2019.116330>Nature abhors a paywall: How open science can realize the potential of naturalistic stimuli</a></td>
      <td>DuPre E, Hanke M, Poline JB</td>
      <td>NeuroImage</td>
      <td>2019 Nov 5</td>

<td><a class="reference external" href=https://www.doi.org/10.1038/s41597-019-0303-3>A manually denoised audio-visual movie watching fMRI dataset for the studyforrest project</a></td>
      <td>Liu X, Zhen Z, Yang A, Bai H, Liu J</td>
      <td>Scientific Data</td>
      <td>2019 Nov 29</td>

<td><a class="reference external" href=https://www.doi.org/10.1523/JNEUROSCI.0524-18.2018>The Hippocampal Film Editor: Sensitivity and Specificity to Event Boundaries in Continuous Experience</a></td>
      <td>Ben-Yakov A, Henson RN</td>
      <td>The Journal of Neuroscience</td>
      <td>2018 Nov 21</td>

<td><a class="reference external" href=https://www.doi.org/10.1038/sdata.2018.105>Individual Brain Charting, a high-resolution fMRI dataset for cognitive mapping</a></td>
      <td>Pinho AL, Amadon A, Ruest T, Fabre M, Dohmatob E, Denghien I, Ginisty C, Becuwe-Desmidt S, Roger S, Laurier L, Joly-Testault V, Médiouni-Cloarec G, Doublé C, Martins B, Pinel P, Eger E, Varoquaux G, Pallier C, Dehaene S, Hertz-Pannier L, Thirion B</td>
      <td>Scientific Data</td>
      <td>2018 Jun 12</td>

<td><a class="reference external" href=https://www.doi.org/10.3389/fnins.2018.00316>Neural Responses to Naturalistic Clips of Behaving Animals in Two Different Task Contexts</a></td>
      <td>Nastase SA, Halchenko YO, Connolly AC, Gobbini MI, Haxby JV</td>
      <td>Frontiers in Neuroscience</td>
      <td>2018 May 15</td>

<td><a class="reference external" href=https://www.doi.org/10.1016/j.neuroimage.2018.01.058>Are you thinking what I’m thinking? Synchronization of resting fMRI time-series across subjects</a></td>
      <td>Joshi AA, Chong M, Li J, Choi S, Leahy RM</td>
      <td>NeuroImage</td>
      <td>2018 Feb 8</td>

<td><a class="reference external" href=https://www.doi.org/10.1162/netn_a_00050>Cooperating yet distinct brain networks engaged during naturalistic paradigms: A meta-analysis of functional MRI results</a></td>
      <td>Bottenhorn KL, Flannery JS, Boeving ER, Riedel MC, Eickhoff SB, Sutherland MT, Laird AR</td>
      <td>Network Neuroscience</td>
      <td>2018 Oct 1</td>

<td><a class="reference external" href=https://www.doi.org/10.1523/JNEUROSCI.0524-18.2018>The Hippocampal Film Editor: Sensitivity and Specificity to Event Boundaries in Continuous Experience</a></td>
      <td>Ben-Yakov A, Henson RN</td>
      <td>The Journal of Neuroscience</td>
      <td>2018 Nov 21</td>

<td><a class="reference external" href=https://www.doi.org/10.1038/sdata.2018.105>Individual Brain Charting, a high-resolution fMRI dataset for cognitive mapping</a></td>
      <td>Pinho AL, Amadon A, Ruest T, Fabre M, Dohmatob E, Denghien I, Ginisty C, Becuwe-Desmidt S, Roger S, Laurier L, Joly-Testault V, Médiouni-Cloarec G, Doublé C, Martins B, Pinel P, Eger E, Varoquaux G, Pallier C, Dehaene S, Hertz-Pannier L, Thirion B</td>
      <td>Scientific Data</td>
      <td>2018 Jun 12</td>

<td><a class="reference external" href=https://www.doi.org/10.1162/netn_a_00050>Cooperating yet distinct brain networks engaged during naturalistic paradigms: A meta-analysis of functional MRI results</a></td>
      <td>Bottenhorn KL, Flannery JS, Boeving ER, Riedel MC, Eickhoff SB, Sutherland MT, Laird AR</td>
      <td>Network Neuroscience</td>
      <td>2018 Oct 1</td>

<td><a class="reference external" href=https://www.doi.org/10.1523/JNEUROSCI.0524-18.2018>The Hippocampal Film Editor: Sensitivity and Specificity to Event Boundaries in Continuous Experience</a></td>
      <td>Ben-Yakov A, Henson RN</td>
      <td>The Journal of Neuroscience</td>
      <td>2018 Nov 21</td>

<td><a class="reference external" href=https://www.doi.org/10.3389/fnins.2018.00727>Teaching Computational Reproducibility for Neuroimaging</a></td>
      <td>Millman KJ, Brett M, Barnowski R, Poline JB</td>
      <td>Frontiers in Neuroscience</td>
      <td>2018 Oct 22</td>

<td><a class="reference external" href=https://www.doi.org/10.1016/j.compbiomed.2018.05.008>Hypersampling of pseudo-periodic signals by analytic phase projection</a></td>
      <td>Voss HU</td>
      <td>Computers in biology and medicine</td>
      <td>2018 May 16</td>

<td><a class="reference external" href=https://www.doi.org/10.1038/sdata.2018.105>Individual Brain Charting, a high-resolution fMRI dataset for cognitive mapping</a></td>
      <td>Pinho AL, Amadon A, Ruest T, Fabre M, Dohmatob E, Denghien I, Ginisty C, Becuwe-Desmidt S, Roger S, Laurier L, Joly-Testault V, Médiouni-Cloarec G, Doublé C, Martins B, Pinel P, Eger E, Varoquaux G, Pallier C, Dehaene S, Hertz-Pannier L, Thirion B</td>
      <td>Scientific Data</td>
      <td>2018 Jun 12</td>

<td><a class="reference external" href=https://www.doi.org/10.3389/fnins.2018.00316>Neural Responses to Naturalistic Clips of Behaving Animals in Two Different Task Contexts</a></td>
      <td>Nastase SA, Halchenko YO, Connolly AC, Gobbini MI, Haxby JV</td>
      <td>Frontiers in Neuroscience</td>
      <td>2018 May 15</td>

<td><a class="reference external" href=https://www.doi.org/10.12688/f1000research.13689.1>Spatial band-pass filtering aids decoding musical genres from auditory cortex 7T fMRI</a></td>
      <td>Sengupta A, Pollmann S, Hanke M</td>
      <td>F1000Research</td>
      <td>2018 Apr 4</td>

<td><a class="reference external" href=https://www.doi.org/10.1017/S1355617717000583>Structural Brain Correlations of Visuospatial and Visuoperceptual Tests in Parkinson’s Disease</a></td>
      <td>Garcia-Diaz AI, Segura B, Baggio HC, Marti MJ, Valldeoriola F, Compta Y, Bargallo N, Uribe C, Campabadal A, Abos A, Junque C</td>
      <td>Journal of the International Neuropsychological Society</td>
      <td>2017 Jul 17</td>

<td><a class="reference external" href=https://www.doi.org/10.1016/j.dib.2017.05.014>Ultra high-field (7 T) multi-resolution fMRI data for orientation decoding in visual cortex</a></td>
      <td>Sengupta A, Yakupov R, Speck O, Pollmann S, Hanke M</td>
      <td>Data in Brief</td>
      <td>2017 May 24</td>

<td><a class="reference external" href=https://www.doi.org/10.1016/j.dib.2017.05.014>Ultra high-field (7 T) multi-resolution fMRI data for orientation decoding in visual cortex</a></td>
      <td>Sengupta A, Yakupov R, Speck O, Pollmann S, Hanke M</td>
      <td>Data in Brief</td>
      <td>2017 May 24</td>

<td><a class="reference external" href=https://www.doi.org/10.1002/hbm.23549>Functional brain segmentation using inter‐subject correlation in fMRI</a></td>
      <td>Kauppi J, Pajula J, Niemi J, Hari R, Tohka J</td>
      <td>Human Brain Mapping</td>
      <td>2017 Mar 10</td>

<td><a class="reference external" href=https://www.doi.org/10.1523/ENEURO.0311-16.2017>Electrophysiology Reveals the Neural Dynamics of Naturalistic Auditory Language Processing: Event-Related Potentials Reflect Continuous Model Updates</a></td>
      <td>Alday PM, Schlesewsky M, Bornkessel-Schlesewsky I</td>
      <td>eNeuro</td>
      <td>2017 Dec 8</td>

<td><a class="reference external" href=https://www.doi.org/10.3389/fpsyg.2017.01179>Music of the 7Ts: Predicting and Decoding Multivoxel fMRI Responses with Acoustic, Schematic, and Categorical Music Features</a></td>
      <td>Casey MA</td>
      <td>Frontiers in Psychology</td>
      <td>2017 Jul 14</td>

<td><a class="reference external" href=https://www.doi.org/10.1016/j.dib.2017.05.014>Ultra high-field (7 T) multi-resolution fMRI data for orientation decoding in visual cortex</a></td>
      <td>Sengupta A, Yakupov R, Speck O, Pollmann S, Hanke M</td>
      <td>Data in Brief</td>
      <td>2017 May 24</td>

<td><a class="reference external" href=https://www.doi.org/10.1093/cercor/bhw344>Disentangling the Representation of Identity from Head View Along the Human Face Processing Pathway</a></td>
      <td>Guntupalli JS, Wheeler KG, Gobbini MI</td>
      <td>Cerebral Cortex (New York, NY)</td>
      <td>2016 Nov 22</td>

<td><a class="reference external" href=https://www.doi.org/10.1038/sdata.2016.92>A studyforrest extension, simultaneous fMRI and eye gaze recordings during prolonged natural stimulation</a></td>
      <td>Hanke M, Adelhöfer N, Kottke D, Iacovella V, Sengupta A, Kaule FR, Nigbur R, Waite AQ, Baumgartner F, Stadler J</td>
      <td>Scientific Data</td>
      <td>2016 Oct 25</td>

<td><a class="reference external" href=https://www.doi.org/10.12688/f1000research.9536.1>An annotation of cuts, depicted locations, and temporal progression in the motion picture "Forrest Gump"</a></td>
      <td>Häusler CO, Hanke M</td>
      <td>F1000Research</td>
      <td>2016 Sep 8</td>

<td><a class="reference external" href=https://www.doi.org/10.12688/f1000research.9635.1>Lies, irony, and contradiction — an annotation of semantic conflict in the movie "Forrest Gump"</a></td>
      <td>Hanke M, Ibe P</td>
      <td>F1000Research</td>
      <td>2016 Sep 26</td>

<td><a class="reference external" href=https://www.doi.org/10.1038/sdata.2016.93>A studyforrest extension, retinotopic mapping and localization of higher visual areas</a></td>
      <td>Sengupta A, Kaule FR, Guntupalli JS, Hoffmann MB, Häusler C, Stadler J, Hanke M</td>
      <td>Scientific Data</td>
      <td>2016 Oct 25</td>

<td><a class="reference external" href=https://www.doi.org/10.12688/f1000research.9536.1>An annotation of cuts, depicted locations, and temporal progression in the motion picture "Forrest Gump"</a></td>
      <td>Häusler CO, Hanke M</td>
      <td>F1000Research</td>
      <td>2016 Sep 8</td>

<td><a class="reference external" href=https://www.doi.org/10.1177/0271678X16651449>Magnetic resonance advection imaging of cerebrovascular pulse dynamics</a></td>
      <td>Voss HU, Dyke JP, Tabelow K, Schiff ND, Ballon DJ</td>
      <td>Journal of Cerebral Blood Flow & Metabolism</td>
      <td>2016 Jan 1</td>

<td><a class="reference external" href=https://www.doi.org/10.12688/f1000research.9635.1>Lies, irony, and contradiction — an annotation of semantic conflict in the movie "Forrest Gump"</a></td>
      <td>Hanke M, Ibe P</td>
      <td>F1000Research</td>
      <td>2016 Sep 26</td>

<td><a class="reference external" href=https://www.doi.org/10.1038/sdata.2016.92>A studyforrest extension, simultaneous fMRI and eye gaze recordings during prolonged natural stimulation</a></td>
      <td>Hanke M, Adelhöfer N, Kottke D, Iacovella V, Sengupta A, Kaule FR, Nigbur R, Waite AQ, Baumgartner F, Stadler J</td>
      <td>Scientific Data</td>
      <td>2016 Oct 25</td>

<td><a class="reference external" href=https://www.doi.org/10.1038/sdata.2016.93>A studyforrest extension, retinotopic mapping and localization of higher visual areas</a></td>
      <td>Sengupta A, Kaule FR, Guntupalli JS, Hoffmann MB, Häusler C, Stadler J, Hanke M</td>
      <td>Scientific Data</td>
      <td>2016 Oct 25</td>

<td><a class="reference external" href=https://www.doi.org/10.12688/f1000research.9536.1>An annotation of cuts, depicted locations, and temporal progression in the motion picture "Forrest Gump"</a></td>
      <td>Häusler CO, Hanke M</td>
      <td>F1000Research</td>
      <td>2016 Sep 8</td>

<td><a class="reference external" href=https://www.doi.org/10.3389/fninf.2016.00034>Data Citation in Neuroimaging: Proposed Best Practices for Data Identification and Attribution</a></td>
      <td>Honor LB, Haselgrove C, Frazier JA, Kennedy DN</td>
      <td>Frontiers in Neuroinformatics</td>
      <td>2016 Aug 12</td>

<td><a class="reference external" href=https://www.doi.org/10.3389/fninf.2016.00024>Exploring fMRI Results Space: 31 Variants of an fMRI Analysis in AFNI, FSL, and SPM</a></td>
      <td>Pauli R, Bowring A, Reynolds R, Chen G, Nichols TE, Maumet C</td>
      <td>Frontiers in Neuroinformatics</td>
      <td>2016 Jul 5</td>

<td><a class="reference external" href=https://www.doi.org/10.1016/j.tics.2016.03.014>Building a science of individual differences from fMRI</a></td>
      <td>Dubois J, Adolphs R</td>
      <td>Trends in cognitive sciences</td>
      <td>2016 Apr 30</td>

<td><a class="reference external" href=https://www.doi.org/10.1098/rsta.2015.0188>Brain–heart interactions: challenges and opportunities with functional magnetic resonance imaging at ultra-high field</a></td>
      <td>Chang C, Raven EP, Duyn JH</td>
      <td>Philosophical transactions. Series A, Mathematical, physical, and engineering sciences</td>
      <td>2016 May 13</td>

<td><a class="reference external" href=https://www.doi.org/10.1371/journal.pone.0141892>The Detection of Emerging Trends Using Wikipedia Traffic Data and Context Networks</a></td>
      <td>Kämpf M, Tessenow E, Kenett DY, Kantelhardt JW</td>
      <td>PLoS ONE</td>
      <td>2015 Dec 31</td>

<td><a class="reference external" href=https://www.doi.org/10.1371/journal.pone.0133921>Highest Resolution In Vivo Human Brain MRI Using Prospective Motion Correction</a></td>
      <td>Stucht D, Danishad KA, Schulze P, Godenschweger F, Zaitsev M, Speck O</td>
      <td>PLoS ONE</td>
      <td>2015 Jul 30</td>

<td><a class="reference external" href=https://www.doi.org/10.12688/f1000research.6229.1>A communication hub for a decentralized collaboration on studying real-life cognition</a></td>
      <td>Hanke M, Halchenko YO</td>
      <td>F1000Research</td>
      <td>2015 Mar 10</td>

<td><a class="reference external" href=https://www.doi.org/10.12688/f1000research.6230.1>Portrayed emotions in the movie "Forrest Gump"</a></td>
      <td>Labs A, Reich T, Schulenburg H, Boennen M, Mareike G, Golz M, Hartigs B, Hoffmann N, Keil S, Perlow M, Peukmann AK, Rabe LN, von Sobbe FR, Hanke M</td>
      <td>F1000Research</td>
      <td>2015 Apr 13</td>

<td><a class="reference external" href=https://www.doi.org/10.1038/sdata.2014.54>A high resolution 7-Tesla resting-state fMRI test-retest dataset with cognitive and physiological measures</a></td>
      <td>Gorgolewski KJ, Mendes N, Wilfling D, Wladimirow E, Gauthier CJ, Bonnen T, Ruby FJ, Trampel R, Bazin PL, Cozatl R, Smallwood J, Margulies DS</td>
      <td>Scientific Data</td>
      <td>2015 Jan 20</td>

<td><a class="reference external" href=https://www.doi.org/10.1186/s13742-015-0055-8>Improving functional magnetic resonance imaging reproducibility</a></td>
      <td>Pernet C, Poline JB</td>
      <td>GigaScience</td>
      <td>2015 Mar 31</td>

<td><a class="reference external" href=https://www.doi.org/10.1038/sdata.2014.50>Multi-modal ultra-high resolution structural 7-Tesla MRI data repository</a></td>
      <td>Forstmann BU, Keuken MC, Schafer A, Bazin PL, Alkemade A, Turner R</td>
      <td>Scientific Data</td>
      <td>2014 Dec 9</td>
  <table id='sort-me'>
  <thead>
    <tr>
      <th>Title</th>
      <th>Authors</th>
      <th>Journal</th>
      <th>Date</th>
    </tr>
  </thead>
  <tbody>
adswa commented 3 years ago

A couple more questions:

aqw commented 3 years ago 
* the current publication list includes stuff that is not indexed in PubMed, such as these two blog posts on the studyforrest website - will they stay?

Those posts are no longer on the site, so they do not need to stay. :-)

aqw commented 3 years ago

The list is updated, and it took less than 2 hours thanks to Adina's new tool. :-)