cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.10820041
title: The wide world of technological telerehabilitation for pediatric neurologic and neurodevelopmental disorders - A systematic review

description: This record contains raw data related to the systematic review The wide world of technological telerehabilitation for pediatric neurologic and neurodevelopmental disorders - A systematic review 

In order to request the data you need to contact Dott.ssa Silvia Filogna at the following email: silvia.filogna@fsm.unipi.it
DOI: 10.5281/zenodo.10820040
title: The wide world of technological telerehabilitation for pediatric neurologic and neurodevelopmental disorders - A systematic review

description: This record contains raw data related to the systematic review The wide world of technological telerehabilitation for pediatric neurologic and neurodevelopmental disorders - A systematic review 

In order to request the data you need to contact Dott.ssa Silvia Filogna at the following email: silvia.filogna@fsm.unipi.it
DOI: 10.5281/zenodo.10617823
title: Curated catalogue for IRFundusSet (Integrated Retinal Fundus Set)

description: Integrated Retinal Fundus Set (IRFundusSet) is a dataset that consolidates and curates several public datasets to ease their use as a harmonized unit and to have a common definition of what is normal or healthy. 

Motivation: Existing retinal fundus public datasets do not follow a standard format or structure for organizing and archiving the datasets. Moreover, eyes/images marked as `not pathological` might represent healthy eyes or eyes with another pathology that is not relevant to the task or disease the dataset was created for. 

This dataset entails 



A Python module that that consolidates and harmonizes the public datasets and that can be used in a  data pipeline following the PyTorch style for Dataset objects. 

A curated catalogue in CSV format where images have been manually reviewed to determine if the image is of a healthy or pathological eye; a common definition for what is a healthy observation
DOI: 10.5281/zenodo.10819965
title: Curated catalogue for IRFundusSet (Integrated Retinal Fundus Set)

description: Integrated Retinal Fundus Set (IRFundusSet) is a dataset that consolidates and curates several public datasets to ease their use as a harmonized unit and to have a common definition of what is normal or healthy. 

Motivation: Existing retinal fundus public datasets do not follow a standard format or structure for organizing and archiving the datasets. Moreover, eyes/images marked as `not pathological` might represent healthy eyes or eyes with another pathology that is not relevant to the task or disease the dataset was created for. 

This dataset entails 



A Python module that that consolidates and harmonizes the public datasets and that can be used in a  data pipeline following the PyTorch style for Dataset objects. 

A curated catalogue in CSV format where images have been manually reviewed to determine if the image is of a healthy or pathological eye; a common definition for what is a healthy observation
DOI: 10.5281/zenodo.10809098
title: Hyperscanning brain-computer interface based on synchronous and asynchronous interindividual SSVEP signals

description: Here we provide hyperscanning EEG (electroencephalogram) data recorded during BCI (brain-computer interface) control. The BCI was intended for the decoding of brain synchrony during visual stimulation, specifically the stimuli flickered at two different fequencies.Each of seven pairs of participants performed more than 100 trials, which included 5s visual stimulation of synchronous or asynchronous flicker. See the PDF file for detailed description.
description: Data of participant pairs can be loaded in Matlab (e.g. load P01.mat) which reveals the structures subject and bciexp. The fields of these structures are described in detail in the file Description.pdf. In short, the EEG data are segmented in trials and are stored in bciexp.data We also provide a Matlab function showStimulusAmplitudes.m, which exemplarily shows spectral properties of the EEG data in a bciexp data set.
DOI: 10.5281/zenodo.10809099
title: Hyperscanning brain-computer interface based on synchronous and asynchronous interindividual SSVEP signals

description: Here we provide hyperscanning EEG (electroencephalogram) data recorded during BCI (brain-computer interface) control. The BCI was intended for the decoding of brain synchrony during visual stimulation, specifically the stimuli flickered at two different fequencies.Each of seven pairs of participants performed more than 100 trials, which included 5s visual stimulation of synchronous or asynchronous flicker. See the PDF file for detailed description.
description: Data of participant pairs can be loaded in Matlab (e.g. load P01.mat) which reveals the structures subject and bciexp. The fields of these structures are described in detail in the file Description.pdf. In short, the EEG data are segmented in trials and are stored in bciexp.data We also provide a Matlab function showStimulusAmplitudes.m, which exemplarily shows spectral properties of the EEG data in a bciexp data set.
DOI: 10.5281/zenodo.10820175
title: Results of visual servoing architecture of mobile manipulators for precise industrial operations on moving objects

description: Results obtained during the experiment of screw fastening on moving objects using a mobile manipulator.
DOI: 10.5281/zenodo.10820174
title: Results of visual servoing architecture of mobile manipulators for precise industrial operations on moving objects

description: Results obtained during the experiment of screw fastening on moving objects using a mobile manipulator.
DOI: 10.5281/zenodo.10604292
title: An mRNA-encoded, long-lasting Interleukin-2 restores CD8+ T cell neoantigen immunity in MHC class I-deficient cancers

description: Cd45Summit-IntgrAllgroups_finalUMAP_simplified_colorordered.RData contains all final result of the workflow (data integration and annotation) without subsetting the cell types into the different treatment groups.

Cd45Summit-IntgrAllgroups_finalUMAP_Only_CD8Tcells_subsetted.RData contains combined dataset of all present CD8+ T cell types (final UMAP, all annotated), which are subsetted into the four treatment groups.

Cd45Summit-IntgrAllgroups_finalUMAP_Only_ProlifMacros_subsetted.RData contains only the proliferating CD8+ T cells, which are subsetted into the four different treatment groups.

Cd45Summit-IntgrAllgroups_forJan_Macors_Gr1to4.RData contains only the combined macrophages of the dataset, subsetted into the four treatment groups.
DOI: 10.5281/zenodo.10610610
title: An mRNA-encoded, long-lasting Interleukin-2 restores CD8+ T cell neoantigen immunity in MHC class I-deficient cancers

description: Cd45Summit-IntgrAllgroups_finalUMAP_simplified_colorordered.RData contains all final result of the workflow (data integration and annotation) without subsetting the cell types into the different treatment groups.

Cd45Summit-IntgrAllgroups_finalUMAP_Only_CD8Tcells_subsetted.RData contains combined dataset of all present CD8+ T cell types (final UMAP, all annotated), which are subsetted into the four treatment groups.

Cd45Summit-IntgrAllgroups_finalUMAP_Only_ProlifMacros_subsetted.RData contains only the proliferating CD8+ T cells, which are subsetted into the four different treatment groups.

Cd45Summit-IntgrAllgroups_forJan_Macors_Gr1to4.RData contains only the combined macrophages of the dataset, subsetted into the four treatment groups.
DOI: 10.5281/zenodo.10410797
title: Data and R-Scripts for the manuscript "Arctic tundra ecosystems under fire – potential trajectories for stable state shifts"
DOI: 10.5281/zenodo.10820379
title: KITTI
DOI: 10.5281/zenodo.10820378
title: KITTI
DOI: 10.5281/zenodo.10820402
title: Machine Learning and Radiomics analysis by Computed Tomography in colorectal liver metastases patients for RAS mutational status prediction

description: We uploaded the Radiomics features raw data of the manuscript "Machine Learning and Radiomics analysis by Computed Tomography in colorectal liver metastases patients for RAS mutational status prediction"
DOI: 10.5281/zenodo.10820401
title: Machine Learning and Radiomics analysis by Computed Tomography in colorectal liver metastases patients for RAS mutational status prediction

description: We uploaded the Radiomics features raw data of the manuscript "Machine Learning and Radiomics analysis by Computed Tomography in colorectal liver metastases patients for RAS mutational status prediction"
DOI: 10.5281/zenodo.10820286
title: Structure prediction of linear and cyclic peptides using CABS-flex

description: PDB models from: Structure prediction of linear and cyclic peptides using CABS-flex.
DOI: 10.5281/zenodo.10820285
title: Structure prediction of linear and cyclic peptides using CABS-flex

description: PDB models from: Structure prediction of linear and cyclic peptides using CABS-flex.
DOI: 10.5281/zenodo.10820394
title: Anonymous Submission for a Conference

description: This dataset is for a double blind submission.
DOI: 10.5281/zenodo.10820226
title: Anonymous Submission for a Conference

description: This dataset is for a double blind submission.
DOI: 10.5281/zenodo.10608146
title: Supplementary data for the article: Delineating the Embodied CO2 Emissions in Canada's Exports: Routes, Drivers, and Paths

description: This repository provides the supplementary data to the paper titled "Delineating the Embodied CO2 Emissions in Canada's Exports: Routes, Drivers, and Paths", submitted to the Journal of Industrial Ecology.

The datasets contain input-output tables and sectoral carbon emission inventories for consecutive years 2000-2018.

Please see the ReadMe.m file about the datasets.

Software: Matlab.
DOI: 10.5281/zenodo.10608145
title: Supplementary data for the article: Delineating the Embodied CO2 Emissions in Canada's Exports: Routes, Drivers, and Paths

description: This repository provides the supplementary data to the paper titled "Delineating the Embodied CO2 Emissions in Canada's Exports: Routes, Drivers, and Paths", submitted to the Journal of Industrial Ecology.



The datasets contain input-output tables and sectoral carbon emission inventories for consecutive years 2000-2018.




The input-output tables for the period 2000-2014 were obtained from the WIOD database (https://www.rug.nl/ggdc/valuechain/wiod/wiod-2016-release), and the input-output tables for the period 2015-2018 were sourced from the ADB database (https://kidb.adb.org/mrio). The sectoral CO2 emissions from fuel combustion inventories (2020 edition) were derived from the IEA database (https://www.iea.org/data-and-statistics/data-sets). The following operations were performed on the original data: 


(1) WIOT conversion for 2010 constant price. See Supporting Information S1.docx for the method.

(2) Consolidation of sectors. The 56 sectors of WIOT and the 35 sectors of ADB-MRIO were merged into 20 sectors to align with the IEA emissions inventory. See Supporting Information S1.docx for sector matching methods.

(3) Region Consolidation. The 63 regions of ADB-MRIO were merged into 44 regions to align with WIOT.

Please see the ReadMe.m file about the datasets.

Software: Matlab.



The computational results and raw data for the charts and tables in this paper can be found in the Supporting Information S2.xlsx.
DOI: 10.5281/zenodo.10820021
title: Supplementary data for the article: Delineating the Embodied CO2 Emissions in Canada's Exports: Routes, Drivers, and Paths

description: This repository provides the supplementary data to the paper titled "Delineating the Embodied CO2 Emissions in Canada's Exports: Routes, Drivers, and Paths", submitted to the Journal of Industrial Ecology.



The datasets contain input-output tables and sectoral carbon emission inventories for consecutive years 2000-2018.




The input-output tables for the period 2000-2014 were obtained from the WIOD database (https://www.rug.nl/ggdc/valuechain/wiod/wiod-2016-release), and the input-output tables for the period 2015-2018 were sourced from the ADB database (https://kidb.adb.org/mrio). The sectoral CO2 emissions from fuel combustion inventories (2020 edition) were derived from the IEA database (https://www.iea.org/data-and-statistics/data-sets). The following operations were performed on the original data: 


(1) WIOT conversion for 2010 constant price. See Supporting Information S1.docx for the method.

(2) Consolidation of sectors. The 56 sectors of WIOT and the 35 sectors of ADB-MRIO were merged into 20 sectors to align with the IEA emissions inventory. See Supporting Information S1.docx for sector matching methods.

(3) Region Consolidation. The 63 regions of ADB-MRIO were merged into 44 regions to align with WIOT.

Please see the ReadMe.m file about the datasets.

Software: Matlab.



The computational results and raw data for the charts and tables in this paper can be found in the Supporting Information S2.xlsx.
DOI: 10.5281/zenodo.10820331
title: BDD100K
DOI: 10.5281/zenodo.10820332
title: BDD100K
DOI: 10.5281/zenodo.7670582
title: KupferDigital mechanical testing datasets: Brinell hardness, Vickers hardness, and tensile tests

description: The KupferDigital project aims to develop digital methods, tools, and data space infrastructures for digitalizing the entire life cycle of copper materials. The mechanical testing process is one of the main chains of such life cycles which generates lots of important testing data about the mechanical properties of the materials and their related materials and testing metadata. To train the digitalization of the mechanical testing process, different kinds of copper alloys were provided for this project, and their mechanical properties were measured by typical methods like Brinell and Vickers hardness and tensile testing. The primary raw testing data as well as the secondary datasets of these tests are provided. The detailed materials specifications, the utilized mechanical testing methods, and the provided datasets are described in the content file. The test data files of heterogeneous structures are processed by the KupferDigital digital tools to be converted to standardized machine-readable data files.
DOI: 10.5281/zenodo.10818505
title: Training sequences for road speed prediction on a selection of roads in Prague

description: Training sequences for 1 hour road speed prediction training on a selection of roads in Prague retrieved from IT4I traffic simulator.First 4 columns define road identifiers, for which a timeline of speed information is provided in the next columns.5th column marks the time of a day (in the range 0 to 24), which is associated with a sample as a reference time stamp.Next 16 columns represent 4 timeline sequences for the 4 concerned roads over past 1 hour (vx@ represents 15min back,vx@@ 30min back, etc).Last 4 columns represent timeline sequence of an output road referring to the 1  hour future (vx+ mark represents 15min forward, vx++ 30min forward, etc.)

Speed value -1 means the information for a particular time instance for a particular road is missing.
DOI: 10.5281/zenodo.10818506
title: Training sequences for road speed prediction on a selection of roads in Prague

description: Training sequences for 1 hour road speed prediction training on a selection of roads in Prague retrieved from IT4I traffic simulator.First 4 columns define road identifiers, for which a timeline of speed information is provided in the next columns.5th column marks the time of a day (in the range 0 to 24), which is associated with a sample as a reference time stamp.Next 16 columns represent 4 timeline sequences for the 4 concerned roads over past 1 hour (vx@ represents 15min back,vx@@ 30min back, etc).Last 4 columns represent timeline sequence of an output road referring to the 1  hour future (vx+ mark represents 15min forward, vx++ 30min forward, etc.)

Speed value -1 means the information for a particular time instance for a particular road is missing.
DOI: 10.5281/zenodo.7368634
title: Post-hypnotic suggestion improves confidence and speed of memory access with long-lasting effects

description: In our study, we use the post-hypnotic suggestion of easy remembering to improve memory with long-lasting effects. We tested 24 highly suggestible participants in an online study. Participants learned word lists and recalled them later in a recognition memory task. At the beginning of the study, participants were hypnotized and the post-hypnotic suggestion to remember easily was associated with a cue that participants used during the recognition memory task. In a control condition, the same participants used a neutral cue. One week later, participants repeated both conditions with new word lists.

Participants were significantly faster and more confident in their recognition ratings in the easy-remembering condition compared to the control condition, and this effect persisted over one week. Crucially, the increased speed and confidence in the easy-remembering condition did not affect memory accuracy. That makes our hypnosis intervention promising for patients experiencing subjective memory impairments.

All experimental files to run the study in Gorilla are accessible via this link: https://app.gorilla.sc/openmaterials/430668
DOI: 10.5281/zenodo.6854189
title: Post-hypnotic suggestion improves confidence and speed of memory access with long-lasting effects

description: The attempt to improve memory has a long tradition. Previous studies do not provide clear evidence concerning the longevity of memory-improving effects which is crucial for clinical applications. In our study, we use the post-hypnotic suggestion of easy remembering to establish long-lasting effects, as post-hypnotic suggestions can be activated with a cue after the hypnotic state. We tested 24 highly suggestible participants in an online study. Participants learned word lists and recalled them later in a recognition memory task where both learned and new words were presented and participants rated their recognition confidence. At the beginning of the study, participants were hypnotized and the post-hypnotic suggestion to remember easily was associated with a cue that participants used during the recognition memory task in the easy-remembering condition. In a control condition, the same participants used a neutral cue. One week later, participants repeated both conditions with new word lists, relying on the same post-hypnotic suggestion they received the week before.


Participants were significantly faster and more confident in their recognition ratings in the easy-remembering condition compared to the control condition, and this effect persisted over one week. Crucially, the increased speed and confidence in the easy-remembering condition did not affect memory accuracy; numerically, participants were even slightly better at discriminating old from new words in the easy-remembering condition. These findings demonstrate that post-hypnotic suggestions of easy remembering improve recognition confidence and speed with long-lasting effects, which makes it a promising intervention for patients experiencing subjective memory impairments.


All experimental files to run the study in Gorilla are accessible via this link: https://app.gorilla.sc/openmaterials/430668
DOI: 10.5281/zenodo.7224766
title: DatabaseEndom128:

description: The library of local nearrings of order 128 on 2-generated groups
DOI: 10.5281/zenodo.6538441
title: DatabaseEndom128:

description: The library of local nearrings of order 128 on 2-generated groups
DOI: 10.5281/zenodo.7225377
title: DatabaseEndom128

description: added 2,4,6,13,27,38,42,43,44,48,49,52,53,56,57,99,102,106,107,108
description: The first and second authors would like to thank IIE-SRF for supporting of their fellowship at the University of Warsaw; the Polish Academy of Sciences (PAN), National Academy of Sciences (NAS). The third author is grateful for the financial support within the program of support for priority research and technical (experimental) developments of the Section of Mathematics of the NAS of Ukraine for 2022-2023. Project "Innovative methods in the theory of differential equations, computational mathematics and mathematical modeling", No. 7/1/241. (State Registration No. 0122U000670).
DOI: 10.5281/zenodo.6538440
title: DatabaseEndom128:

description: The library of local nearrings of order 128 on 2-generated groups
DOI: 10.5281/zenodo.10820188
title: Raw data for 'Long-baseline Quantum Sensor Network as Dark Matter Haloscope'
DOI: 10.5281/zenodo.10820189
title: Raw data for 'Long-baseline Quantum Sensor Network as Dark Matter Haloscope'
DOI: 10.5281/zenodo.8195591
title: Security Annotation workshop - Dataset

description: This file contains all related data about the executed workshop.
DOI: 10.5281/zenodo.10820428
title: Security Annotation workshop - Dataset

description: This file contains all related data about the executed workshop.
DOI: 10.5281/zenodo.8195590
title: Security Annotation workshop - Dataset

description: This file contains all related data about the executed workshop.
DOI: 10.5281/zenodo.7736979
title: DeepCube: Post-processing dataset of social media data

description: This dataset contains the post-processing of the social media data collected for two different use cases during the first two years of the Deepcube project.

More specifically, it contains two sub-datasets, including:



The UC2 dataset containing the post-processing of the Twitter data collected for the DeepCube use case (UC2) dealing with the climate induced migration in Africa. This dataset contains in total 5,695,253 social media posts collected from the Twitter platform, based on the initial version of search criteria relevant to UC2 - defined by Universitat De Valencia, focused on the regions of Ethiopia and Somalia and started from 26 June, 2021 till March, 2023.

The UC5 dataset containing the post-processing of the Twitter and Instagram data collected for the DeepCube use case (UC5) related to the sustainable and environmentally-friendly tourism. This dataset contains in total 58,143 social media posts collected from the Twitter and Instagram platform (12,881 collected from Twitter and 45,262 collected from Instagram), based on the initial version of search criteria relevant to UC5- defined by MURMURATION SAS, focused on the regions of Brasil and started from 26 June, 2021 till March, 2023.


Additionally, an anottated dataset was created by Twitter historical data for UC2 the year 2010-20220.



The UC2 historical anottated dataset containg the post-processing of the Twitter data collected for the DeepCube use case (UC2) dealing with the climate induced migration in Africa. This dataset contains in total 1721 annotated (412 relevant and 1309 irrelevant)  by social media posts collected from the Twitter platform , focused on the region Somalia.


INFALIA, being a spin-off of the CERTH institute (link) and a partner of a research EU project, releases this dataset containing an unlimited number of Tweet IDs for the sole purpose of enabling the validation of the research conducted within the DeepCube. Moreover, Twitter Content provided to in this dataset to third parties remains subject to the Twitter Policy, and those third parties must agree to the Twitter Terms of Service, Privacy Policy, Developer Agreement, and Developer Policy (link - https://developer.twitter.com/en/developer-terms) before receiving this download.
description: testtesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttest
DOI: 10.5281/zenodo.10823053
title: hedychium_gardnerianum_spades_01.fasta.gz

description: .
DOI: 10.5281/zenodo.10823054
title: hedychium_gardnerianum_spades_01.fasta.gz

description: .
DOI: 10.5281/zenodo.10797729
title: Longyearbyen CO2 Lab - Core Photos - DH5

description: Includes drill core photographs (whole boxes) for the Longyearbyen CO2 Lab borehole DH5.

Missing Intervals:

DH5 (Boxes): 0.0-74.0 m; 75.0-105.0 m; 222.0-226.0 m; 590.0-599.0 m; 701.0-702 m DH5 (HighRes): 0.0-105.0 m; 210.0-702 m