cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.6603053
title: Epilelptiform coritcal activity - EEG simulations

description: Source-space brain activity was generated using a physiologically-grounded computational model, named COALIA. It generates brain-scale electrophysiology activity while accounting for the macro- (between regions) as well as the micro-circuitry (within a single region) of the brain (for details, see [1]). We considered a scenario inspired from a general scheme of the organization of human partial seizures presented in [2], and proposing the existence of an epileptogenic subnetwork as well as a propagation subnetwork. In the present study, the two subnetworks were located in the left hemisphere. The epileptogenic subnetwork included four cortical regions: the rostral middle frontal gyrus, pars opercularis, pars triangularis, and pars orbitalis; the propagation subnetwork included the supramarginal, banks superior temporal sulcus, and transverse temporal cortex. Regions affiliations were based on the Desikan-Killiany atlas [3]. Epileptiform activity was generated in the epileptogenic and propagation subnetworks, while background activity was assigned to the remaining cortical regions. All sources belonging to a single patch were synchronized at a zero lag, while a delay of 30 ms was introduced between the two subnetworks to reflect the propagation of spikes between relatively distant regions in the brain. A timeseries of ~6 min at 2048 Hz was simulated. Scalp EEG can be estimated by solving the forward problem <strong>Citation:</strong> Allouch, S., M. Yochum, A. Kabbara, J. Duprez, M. Khalil, F. Wendling, M. Hassan, and J. Modolo. 2022. “Mean-Field Modeling of Brain-Scale Dynamics for the Evaluation of EEG Source-Space Networks.” Brain Topography 35 (1): 54–65. <strong>References:</strong> [1] Bensaid, S., Modolo, J., Merlet, I., Wendling, F., & Benquet, P. (2019). COALIA: A Computational Model of Human EEG for Consciousness Research. Frontiers in Systems Neuroscience, 13, 1–18. https://doi.org/10.3389/fnsys.2019.00059 [2] Bartolomei, F., Guye, M., & Wendling, F. (2013). Abnormal binding and disruption in large scale networks involved in human partial seizures. EPJ Nonlinear Biomedical Physics, 1(4), 1–16. https://doi.org/10.1140/epjnbp11 [3] Desikan, R. S., Ségonne, F., Fischl, B., Quinn, B. T., Dickerson, B. C., Blacker, D., … Killiany, R. J. (2006). An automated labeling system for subdividing the human cerebral cortex on MRI scans into gyral based regions of interest. NeuroImage, 31, 968–980. https://doi.org/10.1016/j.neuroimage.2006.01.021
DOI: 10.6084/m9.figshare.19945475
title: FA_JHU_labels_edited.csv

description: JHU labels
DOI: 10.6084/m9.figshare.19945475.v2
title: FA_JHU_labels_edited.csv

description: JHU labels
DOI: 10.6084/m9.figshare.19945475.v1
title: FA_JHU_labels_edited.csv

description: JHU labels
DOI: 10.25430/researchdata.cab.unipd.it.00000648
title: Dataset for paper "Dogs’ ability to follow the trajectory of temporarily invisible moving objects: ability to track and expect are shaped by experience"

description: Visually tracking a moving object, even if it becomes temporarily invisible, is an important skill for animals living in complex environments. However, this ability has not been widely explored in dogs. To address this gap of knowledge and understand how experience contributes to such ability, we conducted two experiments using a violation of expectation paradigm. Dogs were shown an animation of a ball moving horizontally across a screen, passing behind an occluder, and reappearing with a timing that was faster, slower or congruent with its initial speed. In the first experiment, dogs (N=15) were exposed to the incongruent conditions without prior experience, while in the second experiment dogs (N=37) were preliminarily exposed to the congruent stimulus. Dogs of the first experiment did not exhibit a surprise effect in response to the incongruent conditions, suggesting they had not formed an expectation about the timing of reappearance. However, their latency to orient towards the reappearing ball depended on the condition, suggesting they were able, to some extent, to visually keep track of the stimulus’ trajectory. Dogs of the second experiment were surprised when the ball stayed behind the occluder longer than expected, but showed no difference in latency to orient across conditions. This suggests they had overcome the visual-tracking mechanism and had formed an expectation about the timing of reappearance. In conclusion, dogs seem to use a low-level mechanism to keep visual track of a temporarily disappearing moving object, but experience is required to make expectation about its trajectory.
DOI: 10.5281/zenodo.6597385
title: Resting-state EEG simulations

description: Cortical-level activity was generated using a flexible neural mass model framework, named COALIA. This multi-population neural mass model enables the simulation of brain-scale electrophysiological activity while accounting for the macro- (between regions) and micro-circuitry (within a single region) of the brain, with one neural mass representing the local field potential of one Desikan-Killiany atlas region [for details, readers may refer to (Bensaid et al. 2019)]. The simulated cortical networks (DMN and DAN) each included six regions based on the Desikan-Killiany atlas (Desikan et al. 2006) in terms of region parcellation. The DMN consisted of the right and left posterior cingulate cortex (PCC), medial orbitofrontal (MOF) gyrus, and inferior parietal lobe (IPL). Regarding the DAN, this network consisted of the right and left inferior parietal lobe (IPL), caudal middle frontal gyrus (cMFG), and superior parietal lobe (SPL). Activity in the alpha band ([8-12] Hz) was attributed to the regions belonging to reference RSNs, while background activity was assigned to remaining cortical regions. A variability between simulated data segments was introduced at the subject level, as well as at the level of epochs per subject. Each “virtual subject” had different connectivity matrices provided to the model, while each epoch for the same subject had a different input noise (mean =90, standard deviation = 30) set within the model. More specifically, for each subject, a different fractional anisotropy matrix of the HCP dataset was used (Van Essen et al. 2013), and the weights corresponding to a RSN-connection were modified and set to a value of (1 ± 20%). A corresponding scaling of the matrices followed in accordance with COALIA’s requisites and the type of each input matrix (inhibitory/excitatory). A total of 50 “virtual subjects”, 4 epochs per subject (i.e., 200 data segments) were simulated; with a duration of 40 seconds each and a sampling rate of 2048 Hz. The time delay between NMMs was determined by the euclidean distance between the centroids of Desikan-Killainy’s regions divided by the velocity of action potentials propagation, which was set as 100 cm/s. Scalp EEG signals can be estimated from simulated cortical activity by solving the forward problem. Bensaid, Siouar, Julien Modolo, Isabelle Merlet, Fabrice Wendling, and Pascal Benquet. 2019. “COALIA: A Computational Model of Human EEG for Consciousness Research.” Frontiers in Systems Neuroscience 13: 1–18. Desikan, Rahul S., Florent Ségonne, Bruce Fischl, Brian T. Quinn, Bradford C. Dickerson, Deborah Blacker, Randy L. Buckner, et al. 2006. “An Automated Labeling System for Subdividing the Human Cerebral Cortex on MRI Scans into Gyral Based Regions of Interest.” NeuroImage 31: 968–80. Van Essen, David C., Stephen M. Smith, Deanna M. Barch, Timothy E. J. Behrens, Essa Yacoub, Kamil Ugurbil, and WU-Minn HCP Consortium. 2013. “The WU-Minn Human Connectome Project: An Overview.” NeuroImage 80 (October): 62–79.
DOI: 10.5281/zenodo.6597384
title: Resting-state EEG simulations

description: Cortical-level activity was generated using a flexible neural mass model framework, named COALIA. This multi-population neural mass model enables the simulation of brain-scale electrophysiological activity while accounting for the macro- (between regions) and micro-circuitry (within a single region) of the brain, with one neural mass representing the local field potential of one Desikan-Killiany atlas region [for details, readers may refer to (Bensaid et al. 2019)]. The simulated cortical networks (DMN and DAN) each included six regions based on the Desikan-Killiany atlas (Desikan et al. 2006) in terms of region parcellation. The DMN consisted of the right and left posterior cingulate cortex (PCC), medial orbitofrontal (MOF) gyrus, and inferior parietal lobe (IPL). Regarding the DAN, this network consisted of the right and left inferior parietal lobe (IPL), caudal middle frontal gyrus (cMFG), and superior parietal lobe (SPL). Activity in the alpha band ([8-12] Hz) was attributed to the regions belonging to reference RSNs, while background activity was assigned to remaining cortical regions. A variability between simulated data segments was introduced at the subject level, as well as at the level of epochs per subject. Each “virtual subject” had different connectivity matrices provided to the model, while each epoch for the same subject had a different input noise (mean =90, standard deviation = 30) set within the model. More specifically, for each subject, a different fractional anisotropy matrix of the HCP dataset was used (Van Essen et al. 2013), and the weights corresponding to a RSN-connection were modified and set to a value of (1 ± 20%). A corresponding scaling of the matrices followed in accordance with COALIA’s requisites and the type of each input matrix (inhibitory/excitatory). A total of 50 “virtual subjects”, 4 epochs per subject (i.e., 200 data segments) were simulated; with a duration of 40 seconds each and a sampling rate of 2048 Hz. The time delay between NMMs was determined by the euclidean distance between the centroids of Desikan-Killainy’s regions divided by the velocity of action potentials propagation, which was set as 100 cm/s. Scalp EEG signals can be estimated from simulated cortical activity by solving the forward problem. Bensaid, Siouar, Julien Modolo, Isabelle Merlet, Fabrice Wendling, and Pascal Benquet. 2019. “COALIA: A Computational Model of Human EEG for Consciousness Research.” Frontiers in Systems Neuroscience 13: 1–18. Desikan, Rahul S., Florent Ségonne, Bruce Fischl, Brian T. Quinn, Bradford C. Dickerson, Deborah Blacker, Randy L. Buckner, et al. 2006. “An Automated Labeling System for Subdividing the Human Cerebral Cortex on MRI Scans into Gyral Based Regions of Interest.” NeuroImage 31: 968–80. Van Essen, David C., Stephen M. Smith, Deanna M. Barch, Timothy E. J. Behrens, Essa Yacoub, Kamil Ugurbil, and WU-Minn HCP Consortium. 2013. “The WU-Minn Human Connectome Project: An Overview.” NeuroImage 80 (October): 62–79.
DOI: 10.5281/zenodo.6603146
title: Auxiliary Euro-Calliope datasets: QTDIAN storyline-specific spatial data to represent a European energy system model at several spatial resolutions

description: Custom output generated with the custom-region possibility-for-electricity-autarky workflow. This output provides similar data to https://zenodo.org/record/6600619 (technically eligible land area for renewables and other spatially disaggregated energy system data), but with three additional land area scenarios. These scenarios are in line with three storylines from the QTDIAN toolbox and are based on updating the `possibility-for-electricity-autarky` workflow configuration to include the following parameters (also included in `config.yaml`): <pre><code> scenarios: people-powered: use-of-protected areas: false pv-on-farmland: true share-farmland-used: 0.2 # agro pv share-forest-areas-used: 0.1 share-other-land-used: 1.0 share-offshore-used: 0.1 share-rooftop-used: 1.0 government-directed: use-of-protected areas: false pv-on-farmland: true share-farmland-used: 1.0 share-forest-areas-used: 0.1 share-other-land-used: 1.0 share-offshore-used: 1.0 share-rooftop-used: 1.0 market-driven: use-of-protected areas: true pv-on-farmland: true share-farmland-used: 1.0 share-forest-areas-used: 1.0 share-other-land-used: 1.0 share-offshore-used: 1.0 share-rooftop-used: 1.0</code></pre> This dataset includes different spatial resolutions of land availability. For more information on the `ehighways` resolution, see https://zenodo.org/record/6600619. This dataset is used as an input to the Sector-Coupled Euro-Calliope workflow.
DOI: 10.5281/zenodo.6603145
title: Auxiliary Euro-Calliope datasets: QTDIAN storyline-specific spatial data to represent a European energy system model at several spatial resolutions

description: Custom output generated with the custom-region possibility-for-electricity-autarky workflow. This output provides similar data to https://zenodo.org/record/6600619 (technically eligible land area for renewables and other spatially disaggregated energy system data), but with three additional land area scenarios. These scenarios are in line with three storylines from the QTDIAN toolbox and are based on updating the `possibility-for-electricity-autarky` workflow configuration to include the following parameters (also included in `config.yaml`): <pre><code> scenarios: people-powered: use-of-protected areas: false pv-on-farmland: true share-farmland-used: 0.2 # agro pv share-forest-areas-used: 0.1 share-other-land-used: 1.0 share-offshore-used: 0.1 share-rooftop-used: 1.0 government-directed: use-of-protected areas: false pv-on-farmland: true share-farmland-used: 1.0 share-forest-areas-used: 0.1 share-other-land-used: 1.0 share-offshore-used: 1.0 share-rooftop-used: 1.0 market-driven: use-of-protected areas: true pv-on-farmland: true share-farmland-used: 1.0 share-forest-areas-used: 1.0 share-other-land-used: 1.0 share-offshore-used: 1.0 share-rooftop-used: 1.0</code></pre> This dataset includes different spatial resolutions of land availability. For more information on the `ehighways` resolution, see https://zenodo.org/record/6600619. This dataset is used as an input to the Sector-Coupled Euro-Calliope workflow.
DOI: 10.5281/zenodo.6603179
title: HBV-only reads from cultured human hepatocytes infected with HBV used for testing HBVouroboros functionalities.

description: The dataset consists of bulk-RNA reads extracted from cultured human hepatocytes infected with HBV. The data is used to test the performance of the HBVouroboros software (https://github.com/bedapub/HBVouroboros).
DOI: 10.6084/m9.figshare.19949087.v1
title: GSE116256

description: 40 human bone marrow aspirates
DOI: 10.6084/m9.figshare.19949087
title: GSE116256

description: 40 human bone marrow aspirates
DOI: 10.6084/m9.figshare.19949000
title: Global dataset 16S ASV table

description: Global dataset 16S ASV table 515F-806R processed with DADA2 individually and merged with collapsenomismatch function. Details in publication
DOI: 10.34740/kaggle/dsv/3730974
title: COVID Vaccination in World (updated daily)
DOI: 10.5281/zenodo.6603196
title: Metadata for cited GBIF download

description: First all the download keys were retrieved by using the GBIF literature API (https://www.gbif.org/developer/literature), then the GBIF Registry database was queried to get the metadata information about the downloads.
DOI: 10.5281/zenodo.6603195
title: Metadata for cited GBIF download

description: First all the download keys were retrieved by using the GBIF literature API (https://www.gbif.org/developer/literature), then the GBIF Registry database was queried to get the metadata information about the downloads.
DOI: 10.6084/m9.figshare.19949009
title: Global dataset taxonomy table 16S

description: Global taxonomy table associated to ASV table with Silva v138. Details in publication
DOI: 10.6084/m9.figshare.19949039
title: Global database 16S metadata

description: Metadata and accession number associated to each sample used in the study.
DOI: 10.48544/cf5cb84d-9c94-48ea-90cc-59d10f380e3d
title: Justice in Transportation. The cases of Uber and OV ChipKaart
DOI: 10.15151/esrf-es-821215725
title: IBS BAG

description: The IBS BAG includes in this proposal IBS teams and external groups from iRTSV/CEA (Grenoble), CEA-Cadarache (St Paul lez Durance) and IRBA (Brétigny-sur-Orge). We study structure-function relationships of proteins emphasizing in human health, biotechnology and methodology. Most of the projects are a continuation of the MX-2329 proposal and can be grouped in different topics as follows: host-pathogen interaction, new drug targets, fundamental cellular mechanisms, membrane proteins, intrinsically disordered proteins, biotechnological applications and methodology. Some of these projects use integrative approaches (X-ray crystallography, SAXS, NMR (and cryo-EM), together with other biophysical studies) with the aim to fully understand the complexity of the biological macromolecular systems on study. Some teams are dedicated to serial crystallography and its developments, for which the ESRF-EBS has become the perfect tool.
DOI: 10.5281/zenodo.6603205
title: Overview: GERMAN LANGUAGE OER FOR SOCIAL SCIENCE METHODS EDUCATION

description: This document contains the corpus of identified OER as well as OER-like on social science research methods in the German language and the used codes to classify the identified resources. This document is provided for secondary use as well as expansion and revision. The collection and classification of the corresponding OER and OER-like was last updated in August 2021 and has to be discussed accordingly. OER and OER-like that were created later or were offline during data collection are not included. The codings provided are only covering content-based aspects and not feature e.g. like license framework or opportunity to comment and discuss.
DOI: 10.5281/zenodo.6603204
title: Overview: GERMAN LANGUAGE OER FOR SOCIAL SCIENCE METHODS EDUCATION

description: This document contains the corpus of identified OER as well as OER-like on social science research methods in the German language and the used codes to classify the identified resources. This document is provided for secondary use as well as expansion and revision. The collection and classification of the corresponding OER and OER-like was last updated in August 2021 and has to be discussed accordingly. OER and OER-like that were created later or were offline during data collection are not included. The codings provided are only covering content-based aspects and not feature e.g. like license framework or opportunity to comment and discuss.
DOI: 10.6084/m9.figshare.19640922
title: Data file 2

description: The detailed numerical data for the Table 1.
DOI: 10.6084/m9.figshare.19640943
title: Data file 4

description: The detailed numerical data for the Table 4.
DOI: 10.6084/m9.figshare.19640922.v1
title: Data file 2

description: The detailed numerical data for the Table 1.
DOI: 10.6084/m9.figshare.19640931
title: Data file 1

description: The detailed numerical data for the Table 1.
DOI: 10.6084/m9.figshare.19640931.v1
title: Data file 1

description: The detailed numerical data for the Table 1.
DOI: 10.6084/m9.figshare.19640943.v1
title: Data file 4

description: The detailed numerical data for the Table 4.
DOI: 10.6084/m9.figshare.19640937
title: Data file 3

description: The detailed numerical data for the Table 3.
DOI: 10.15139/s3/edgsmj
title: Candidate Fundraising in Prosecutorial Elections

description: The database identifies the candidates who ran for local or state-wide prosecutorial office, as well as the total amount of direct contributions that those candidates received. Campaign contribution information is often publicly available, but the format of that information varies from state to state, the information is often scattered across multiple sources and the information is sometimes incomplete. This single nationwide database will allow sustained study about prosecutor campaigns and the amount of contributions.
DOI: 10.3886/e161361
title: Data and Code for: Racial Isolation and Marginalization of Economic Research on Race and Crime

description: We report the total citations and citations/year since publication for all 759 articles in EconLit, published from 1970 to 2020, that include race and crime (or variations) in their titles or abstracts. We report the citations from Web of Science, Scopus and Google Scholar. We also determine whether the articles report findings of racial discrimination or racism, based on multiple reader reviews of the article. In our citation analysis, we consider two main variables: (a) whether one or more of the authors were Black, and (b) whether the article was published in the <b>Review of Black Political Economy</b>. For each source of our citation counts, we provide tests of differences in the probability of zero citations, and the average and total citations between Black authors and all others as well as between papers published in the RBPE and all others,. We estimate ordinary least squares and negative binomial models of the citation counts as well as logistic models of zero citations with and without year and article category fixed effects, controlling for top five journal, race and gender of author(s), an interaction term between race of author and top five journal, and whether the journal indexed by EconLit was the Journal of Economic Perspectives or the Journal of Economic Literature, a law review, or the Annals of the American Academy of Political and Social Science. Depending on whether we measure citations as average or totals and depending upon whether we use the Web of Science, Scopus or Google Scholar citation engines, and whether the models are linear or negative binomial, we find evidence of systematically lower citations for Black authors publishing in top journals and articles published in the Review of Black Political Economy. We find that articles authored by Black scholars are more likely to find discrimination or racism. Articles published in the Review are also more likely to outline findings of discrimination, but these journal effects are not always statistically significant. These findings are consistent across different citation engines, different model specifications and estimations. As a result, these findings are all the more compelling given that that the three search engines cover Black authors and of the Review of Black Political Economy in very different ways
description: NA
description: Response Rates: NA
description: Presence of Common Scales: Total citations<br>Citations per year since publication
description: Universe of journal articles meeting selection criteria
description: Smallest Geographic Unit: NA
description: coded on-site observation; mixed mode; other; record abstracts; Citation counts