cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.6602836
title: HARMONIOUS Sele River UAS Sample Data

description: This dataset has been produced during a field campaign along the Sele River, Italy during 22-23 March 2022 within the framework of the HARMONIOUS COST Action The area interest has a size of ~0.27 hectares. The dataset consists of two main data types: Thermal Infrared mosaic Multispectral mosaic The data acquisition was performed using a DJI Matrice M210 UAS and two main sensor systems: Zenmuse XT2 radiometric MicaSense RedEdge-MX Dual system The raw data were processed using Pix4D Mapper. Georeferencing was provided by using Ground Control Points (UTM33N) <em>Data owner:<br> Dr. László Bertalan,<br> University of Debrecen, Hungary<br> Website</em>
DOI: 10.5281/zenodo.6533676
title: Neuro-Symbolic Language Modeling with Automaton-augmented Retrieval

description: These are datasets and models for the paper: "Neuro-Symbolic Language Modeling with Automaton-augmented Retrieval" (ICML'2022) https://arxiv.org/pdf/2201.12431.pdf The code is available at: https://github.com/neulab/retomaton
DOI: 10.5281/zenodo.6525425
title: Neuro-Symbolic Language Modeling with Automaton-augmented Retrieval

description: These are datasets and models for the paper: "Neuro-Symbolic Language Modeling with Automaton-augmented Retrieval" (ICML'2022) https://arxiv.org/pdf/2201.12431.pdf The code is available at: https://github.com/neulab/retomaton
DOI: 10.5281/zenodo.6602591
title: Evolution of allele frequencies in the cattle breed Asturiana de los Valles

description: Genotype data for 153 animals from the Asturiana de los Valles bovine breed, with birth dates from 1980 to 2013. These genotypes were obtained from 3 different sources: - 88 sires were genotyped using the Illumina’s BovineSNP50 v.2 chip; the resulting data are provided at plink ped/map format (asturiana_50K.tar.xz). - 50 animals (25 sires and 25 dams) were genotyped using the Illumina’s Bovine High Density BeadChip 770K SNP; the resulting data are provided at plink ped/map format (asturiana_800K.tar.xz). - 15 sires were sequenced on a HiSeq 3,000; the resulting genotype calls are provided at vcf format (asturiana_WGS_SNP.vcf.gz). Boitard et al (2021) combined these 3 datasets in order to detect recent and historical selection signatures in this breed. The scripts used for this analysis can be found at https://github.com/sboitard/Asturiana_analysis.
description: {"references": ["Boitard S, Paris C, Sevane N, Servin B, Bazi-Kabbaj K and Dunner S (2021) Gene Banks as Reservoirs to Detect Recent Selection: The Example of the Asturiana de los Valles Bovine Breed. Front. Genet. 12:575405."]}
DOI: 10.5281/zenodo.6602590
title: Evolution of allele frequencies in the cattle breed Asturiana de los Valles

description: Genotype data for 153 animals from the Asturiana de los Valles bovine breed, with birth dates from 1980 to 2013. These genotypes were obtained from 3 different sources: - 88 sires were genotyped using the Illumina’s BovineSNP50 v.2 chip; the resulting data are provided at plink ped/map format (asturiana_50K.tar.xz). - 50 animals (25 sires and 25 dams) were genotyped using the Illumina’s Bovine High Density BeadChip 770K SNP; the resulting data are provided at plink ped/map format (asturiana_800K.tar.xz). - 15 sires were sequenced on a HiSeq 3,000; the resulting genotype calls are provided at vcf format (asturiana_WGS_SNP.vcf.gz). Boitard et al (2021) combined these 3 datasets in order to detect recent and historical selection signatures in this breed. The scripts used for this analysis can be found at https://github.com/sboitard/Asturiana_analysis.
description: {"references": ["Boitard S, Paris C, Sevane N, Servin B, Bazi-Kabbaj K and Dunner S (2021) Gene Banks as Reservoirs to Detect Recent Selection: The Example of the Asturiana de los Valles Bovine Breed. Front. Genet. 12:575405."]}
DOI: 10.34740/kaggle/dsv/3730644
title: YouTube Trending Video Dataset (updated daily)
DOI: 10.5519/qd.0o7l39j4
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (14865 records)
DOI: 10.5519/qd.9pkasvuv
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (59 records)
DOI: 10.25405/data.ncl.19519630
title: Closed-loop optogenetic control of neural network dynamics

description: Datasets and model accompanying Zaaimi et al.,Closed-loop optogenetic control of neural network dynamics (Nat Biomed Eng 2022).<b></b><br>Dataset 1 - Closed-loop stimulation of EMX-ChR2 slices (No seizures)<br>Dataset 2 - Closed-loop stimulation of NHP in vivo (no seizures)<br><br>Dataset 3 - Closed-loop stimulation of EMX-ChR2 slices (seizures)<br><br>Dataset 4 - Closed-loop stimulation of NHP in vivo (seizures)<br>CLOSe_model - Closed-loop stimulation of Wilson-Cowan neural mass model
DOI: 10.25405/data.ncl.19519630.v1
title: Closed-loop optogenetic control of neural network dynamics

description: Datasets and model accompanying Zaaimi et al.,Closed-loop optogenetic control of neural network dynamics (Nat Biomed Eng 2022).<b></b><br>Dataset 1 - Closed-loop stimulation of EMX-ChR2 slices (No seizures)<br>Dataset 2 - Closed-loop stimulation of NHP in vivo (no seizures)<br><br>Dataset 3 - Closed-loop stimulation of EMX-ChR2 slices (seizures)<br><br>Dataset 4 - Closed-loop stimulation of NHP in vivo (seizures)<br>CLOSe_model - Closed-loop stimulation of Wilson-Cowan neural mass model
DOI: 10.34740/kaggle/dsv/3730698
title: 2021 World Population (updated daily)
DOI: 10.5281/zenodo.6602351
title: EMNIST-DA: A dataset for studying measurement shift

description: emnist_large.tar.gz contains the EMNIST-DA dataset consisting of 13 shifted versions of the 47-class extended-MNIST (EMNIST) dataset. As many methods achieve very good performance on MNIST datasets, this dataset was created to be more challenging with 47-classes and some difficult (measurement) shifts. Source code to generate the dataset is available at https://github.com/cianeastwood/bufr/blob/main/data/emnist.py.
DOI: 10.5281/zenodo.6602350
title: EMNIST-DA: A dataset for studying measurement shift

description: emnist_large.tar.gz contains the EMNIST-DA dataset consisting of 13 shifted versions of the 47-class extended-MNIST (EMNIST) dataset. As many methods achieve very good performance on MNIST datasets, this dataset was created to be more challenging with 47-classes and some difficult (measurement) shifts. Source code to generate the dataset is available at https://github.com/cianeastwood/bufr/blob/main/data/emnist.py.
DOI: 10.5281/zenodo.5930401
title: Multi-temporal Structure from Motion ponit clouds of riparian vegetation

description: the dataset consists of three pointclouds and two NIR orthomosaics generated through a Structure from Motion standard workflow of the same forested area. The study area is typical riparian habitat vegetation. The data were acquired in different phenological stages: the first acquisition was realised in leaves-off conditions (march 2020) The second acquisition was realised in June 2020 the third acquisition was realised in July 2020. Reference system: WGS84/32N [EPGS: 32632] For further information regarding the data processing please refer to https://doi.org/10.3390/rs13091756<br>
DOI: 10.5281/zenodo.5930400
title: Multi-temporal Structure from Motion ponit clouds of riparian vegetation

description: the dataset consists of three pointclouds and two NIR orthomosaics generated through a Structure from Motion standard workflow of the same forested area. The study area is typical riparian habitat vegetation. The data were acquired in different phenological stages: the first acquisition was realised in leaves-off conditions (march 2020) The second acquisition was realised in June 2020 the third acquisition was realised in July 2020. Reference system: WGS84/32N [EPGS: 32632] For further information regarding the data processing please refer to https://doi.org/10.3390/rs13091756<br>
DOI: 10.6084/m9.figshare.19948715
title: Supplementary Table 3

description: Supplementary Table 1
DOI: 10.6084/m9.figshare.19948715.v1
title: Supplementary Table 3

description: Supplementary Table 1
DOI: 10.6084/m9.figshare.19948742.v1
title: Supplementary Table 4

description: Supplementary Table 4
DOI: 10.6084/m9.figshare.19948742
title: Supplementary Table 4

description: Supplementary Table 4
DOI: 10.6084/m9.figshare.19948748
title: Supplementary Table 5

description: Supplementary Table 4
DOI: 10.6084/m9.figshare.19948748.v1
title: Supplementary Table 5

description: Supplementary Table 4
DOI: 10.6084/m9.figshare.19948757
title: Supplementary Table 6

description: Supplementary Table 6
DOI: 10.6084/m9.figshare.19948757.v1
title: Supplementary Table 6

description: Supplementary Table 6
DOI: 10.6084/m9.figshare.19948682
title: Supplementary Table 2

description: Supplementary Table 1
DOI: 10.6084/m9.figshare.19948682.v2
title: Supplementary Table 2

description: Supplementary Table 1
DOI: 10.6084/m9.figshare.19948682.v1
title: Supplementary Table 1

description: Supplementary Table 1
DOI: 10.25790/bml0cm.103
title: ADSv1.zip
DOI: 10.5517/ccdc.csd.cc29h432
title: CCDC 2129703: Experimental Crystal Structure Determination

description: Related Article: Hao-Ran Zhang, Li Liu, Long-Yuan Zheng, Yu-Qin Song, Xiao-Min Chen, Gui-Mei Tang, Yong-Tao Wang|2022|J.Mol.Struct.|1265|133344|doi:10.1016/j.molstruc.2022.133344
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc29h443
title: CCDC 2129704: Experimental Crystal Structure Determination

description: Related Article: Hao-Ran Zhang, Li Liu, Long-Yuan Zheng, Yu-Qin Song, Xiao-Min Chen, Gui-Mei Tang, Yong-Tao Wang|2022|J.Mol.Struct.|1265|133344|doi:10.1016/j.molstruc.2022.133344
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc29h454
title: CCDC 2129705: Experimental Crystal Structure Determination

description: Related Article: Hao-Ran Zhang, Li Liu, Long-Yuan Zheng, Yu-Qin Song, Xiao-Min Chen, Gui-Mei Tang, Yong-Tao Wang|2022|J.Mol.Struct.|1265|133344|doi:10.1016/j.molstruc.2022.133344
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc29x9tc
title: CCDC 2142373: Experimental Crystal Structure Determination

description: Related Article: Xiao-Wen Liang, Lin-Lin Zhang, Ting Zhang, Jiong-Peng Zhao, Fu-Chen Liu|2022|Dalton Trans.|51|8491|doi:10.1039/D2DT00915C
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc29x9vd
title: CCDC 2142374: Experimental Crystal Structure Determination

description: Related Article: Xiao-Wen Liang, Lin-Lin Zhang, Ting Zhang, Jiong-Peng Zhao, Fu-Chen Liu|2022|Dalton Trans.|51|8491|doi:10.1039/D2DT00915C
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.25505/fiz.icsd.cc2c1nrv
title: CSD 2176347: Experimental Crystal Structure Determination

description: Related Article: François Perrudin, Carine Petitjean, Pierre-Jean Panteix, Florian Brix, Justine Bonnal, David Bonina, Michel Vilasi|2022|ICSD Communication|||
description: An entry from the Inorganic Crystal Structure Database, the world’s repository for inorganic crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the joint CCDC and FIZ Karlsruhe Access Structures service and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.25505/fiz.icsd.cc2c1ntx
title: CSD 2176349: Experimental Crystal Structure Determination

description: Related Article: François Perrudin, Carine Petitjean, Pierre-Jean Panteix, Florian Brix, Justine Bonnal, David Bonina, Michel Vilasi|2022|ICSD Communication|||
description: An entry from the Inorganic Crystal Structure Database, the world’s repository for inorganic crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the joint CCDC and FIZ Karlsruhe Access Structures service and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.25505/fiz.icsd.cc2c1nwz
title: CSD 2176351: Experimental Crystal Structure Determination

description: Related Article: François Perrudin, Carine Petitjean, Pierre-Jean Panteix, Florian Brix, Justine Bonnal, David Bonina, Michel Vilasi|2022|ICSD Communication|||
description: An entry from the Inorganic Crystal Structure Database, the world’s repository for inorganic crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the joint CCDC and FIZ Karlsruhe Access Structures service and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.15139/s3/8u83ci
title: Design Thinking

description: Zotero Collection
DOI: 10.6084/m9.figshare.19948877
title: Supplemental Table 1 Myosin in Ischemic Heart Failure_Rasicci_Yengo_05312022.pdf

description: Summary of Prescription Medications and Cardiac Catheterization Data Prior to Cardiac Transplant <br> (uploaded as Supplemental Table 1 for submitted manuscript titled "Cardiac myosin motor deficits are associated with left ventricular dysfunction in human ischemic heart failure")
DOI: 10.6084/m9.figshare.19948877.v1
title: Supplemental Table 1 Myosin in Ischemic Heart Failure_Rasicci_Yengo_05312022.pdf

description: Summary of Prescription Medications and Cardiac Catheterization Data Prior to Cardiac Transplant <br> (uploaded as Supplemental Table 1 for submitted manuscript titled "Cardiac myosin motor deficits are associated with left ventricular dysfunction in human ischemic heart failure")
DOI: 10.6084/m9.figshare.19948983
title: Additional file 1 of Mortality during the first four waves of COVID-19 pandemic in Israel: March 2020–October 2021

description: Additional file 1: Table S1. Ratio of mortality rates for the period March 2020–October 2021, for all deaths and non-COVID-19 deaths, compared to average of 2017–2019, by month and population group with 95% CI. Table S2. Ratio of mortality rates for the period March 2020–October 2021, for all deaths and non-COVID-19 deaths, compared to average of 2017–2019, by age groups, sex, and population group with 95% CI. Table S3. Ratio of mortality rates for the period April–October 2021 of a cohort of persons vaccinated before 31 March 2021, aged 15 and above, compared to the average mortality rates in April–October 2017–2019, by age and sex with 95% CI.
DOI: 10.6084/m9.figshare.19948983.v1
title: Additional file 1 of Mortality during the first four waves of COVID-19 pandemic in Israel: March 2020–October 2021

description: Additional file 1: Table S1. Ratio of mortality rates for the period March 2020–October 2021, for all deaths and non-COVID-19 deaths, compared to average of 2017–2019, by month and population group with 95% CI. Table S2. Ratio of mortality rates for the period March 2020–October 2021, for all deaths and non-COVID-19 deaths, compared to average of 2017–2019, by age groups, sex, and population group with 95% CI. Table S3. Ratio of mortality rates for the period April–October 2021 of a cohort of persons vaccinated before 31 March 2021, aged 15 and above, compared to the average mortality rates in April–October 2017–2019, by age and sex with 95% CI.
DOI: 10.6084/m9.figshare.19948850
title: Date.xlsx

description: We carried out three onboard incubation experiments enriched with anthropogenic aerosol (AR) using surface and SCM seawaters in the YS and ECS. The unfiltered and filtered (through 20 μm membrane) seawaters were used to illustrate the effects of microsized (20–200 μm) phytoplankton on the growth and nutrient uptake of nanosized (2–20 μm) and picosized ones.
DOI: 10.6084/m9.figshare.19948850.v1
title: Date.xlsx

description: We carried out three onboard incubation experiments enriched with anthropogenic aerosol (AR) using surface and SCM seawaters in the YS and ECS. The unfiltered and filtered (through 20 μm membrane) seawaters were used to illustrate the effects of microsized (20–200 μm) phytoplankton on the growth and nutrient uptake of nanosized (2–20 μm) and picosized ones.
DOI: 10.5281/zenodo.6603083
title: Weighted Average Ensemble-Based Semantic Segmentation in Biological Electron Microscopy Images

description: Data for the Weighted Average Ensemble-Based Semantic Segmentation in Biological Electron Microscopy Images paper
description: Please read the ReadMe file in the codes folder for usage information
DOI: 10.15151/esrf-dc-838143107
title: Microstructure of evaporated organic photovoltaics with novel non-fullerene acceptors

description: Polymer-based organic photovoltaic (OPV) systems have increased their power conversion efficiency from 12% to 18% by replacing fullerene derivates with non-fullerene acceptors (NFAs), reducing voltage losses and allowing for greater absorption in these systems while retaining good charge transport. Similarly well-performing NFAs for evaporated small molecules, a technology that is commercially scalable, have been scarce, but we recently received our first such NFAs from collaborators. We seek to use Grazing Incidence Wide Angle X-ray Scattering (GIWAXS) to study the crystalline make-up of the active blend as the substrate temperature during growth is varied, a key way of influencing the blend's microstructure. By coupling microstructural data with optical data and device performance, we will identify key structure-property relationships to better understand the interplay between these aspects of OPVs, improve the device performance, and guide the development of future OPV materials.
DOI: 10.5281/zenodo.6603082
title: Weighted Average Ensemble-Based Semantic Segmentation in Biological Electron Microscopy Images

description: Data for the Weighted Average Ensemble-Based Semantic Segmentation in Biological Electron Microscopy Images paper
description: Please read the ReadMe file in the codes folder for usage information
DOI: 10.6084/m9.figshare.19949003
title: GSE84465

description: 4 human glioblastoma tumors
DOI: 10.6084/m9.figshare.19948949
title: Sleep factors in relation to metabolic-dysfunction associated fatty liver disease in middle-aged and elderly Chinese

description: <strong>Sleep factors in relation to metabolic-dysfunction associated fatty liver disease in middle-aged and elderly Chinese</strong>
DOI: 10.6084/m9.figshare.19948949.v1
title: Supplementary data_R1.pdf

description: <strong>Sleep factors in relation to metabolic-dysfunction associated fatty liver disease in middle-aged and elderly Chinese</strong>
DOI: 10.6084/m9.figshare.7761692.v2
title: Палеографические черты вислых актовых печатей сфрагистического типа «Господне слово» XI-XII вв.

description: <b>Прочтение надписей на печатях вновь обрело актуальность после того, как в поле зрения авторов статьи попал свинцовый оттиск, на лицевой стороне которого «Господне слово» под титлом сокращенно написано уставом. </b> Благодаря усилиям сфрагистов России, Украины и Беларуси появилась возможность комплексного рассмотрения булл типа «Господне слово» времён упадка Древнерусского государства. Развитие права на рубеже XII в. привело к возвышению славянского языка, массовому использованию его на вислых актовых печатях. Печать как важный элемент юридических документов отразила коренные изменения в общественно-правовой практике.
DOI: 10.5281/zenodo.6603054
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