cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.7264328
title: # TiO2 https://doi.org/10.1016/j.icarus.2023.115505

description: New map of TiO<sub>2 </sub>of the lunar surface from additional geochemical data of Chang'E-5 samples and KAGUYA multiband imager data. Liang Zhang, Xubing Zhang, Maosheng Yang, Xiao Xiao, Denggao Qiu, Jianguo Yan, Long Xiao, Jun Huang,<br> New maps of major oxides and Mg # of the lunar surface from additional geochemical data of Chang'E-5 samples and KAGUYA multiband imager data,<br> Icarus,<br> 2023,<br> 115505,<br> ISSN 0019-1035,<br> https://doi.org/10.1016/j.icarus.2023.115505.
DOI: 10.34740/kaggle/dsv/5161356
title: 💥📰 Daily Breaking News Twitter Dataset
DOI: 10.5281/zenodo.7263425
title: # FeO https://doi.org/10.1016/j.icarus.2023.115505

description: New map of FeO of the lunar surface from additional geochemical data of Chang'E-5 samples and KAGUYA multiband imager data. Liang Zhang, Xubing Zhang, Maosheng Yang, Xiao Xiao, Denggao Qiu, Jianguo Yan, Long Xiao, Jun Huang,<br> New maps of major oxides and Mg # of the lunar surface from additional geochemical data of Chang'E-5 samples and KAGUYA multiband imager data,<br> Icarus,<br> 2023,<br> 115505,<br> ISSN 0019-1035,<br> https://doi.org/10.1016/j.icarus.2023.115505.
DOI: 10.5281/zenodo.7263426
title: # FeO https://doi.org/10.1016/j.icarus.2023.115505

description: New map of FeO of the lunar surface from additional geochemical data of Chang'E-5 samples and KAGUYA multiband imager data. Liang Zhang, Xubing Zhang, Maosheng Yang, Xiao Xiao, Denggao Qiu, Jianguo Yan, Long Xiao, Jun Huang,<br> New maps of major oxides and Mg # of the lunar surface from additional geochemical data of Chang'E-5 samples and KAGUYA multiband imager data,<br> Icarus,<br> 2023,<br> 115505,<br> ISSN 0019-1035,<br> https://doi.org/10.1016/j.icarus.2023.115505.
DOI: 10.5281/zenodo.7263324
title: # CaO https://doi.org/10.1016/j.icarus.2023.115505

description: New map of CaO of the lunar surface from additional geochemical data of Chang'E-5 samples and KAGUYA multiband imager data. Liang Zhang, Xubing Zhang, Maosheng Yang, Xiao Xiao, Denggao Qiu, Jianguo Yan, Long Xiao, Jun Huang,<br> New maps of major oxides and Mg # of the lunar surface from additional geochemical data of Chang'E-5 samples and KAGUYA multiband imager data,<br> Icarus,<br> 2023,<br> 115505,<br> ISSN 0019-1035,<br> https://doi.org/10.1016/j.icarus.2023.115505.
DOI: 10.5281/zenodo.7263325
title: # CaO https://doi.org/10.1016/j.icarus.2023.115505

description: New map of CaO of the lunar surface from additional geochemical data of Chang'E-5 samples and KAGUYA multiband imager data. Liang Zhang, Xubing Zhang, Maosheng Yang, Xiao Xiao, Denggao Qiu, Jianguo Yan, Long Xiao, Jun Huang,<br> New maps of major oxides and Mg # of the lunar surface from additional geochemical data of Chang'E-5 samples and KAGUYA multiband imager data,<br> Icarus,<br> 2023,<br> 115505,<br> ISSN 0019-1035,<br> https://doi.org/10.1016/j.icarus.2023.115505.
DOI: 10.34740/kaggle/dsv/5161427
title: 🇺🇦 Ukraine Conflict Twitter Dataset
DOI: 10.6084/m9.figshare.22266925.v1
title: Supplementary Table 1:List of the 518 V. vulnificus strains analyzed in this study

description: Supplementary Table 1 List of the 518 V. vulnificus strains analyzed in this study
DOI: 10.34740/kaggle/dsv/5155117
title: clustered_iNaturalist_Valid2021
DOI: 10.5281/zenodo.7731034
title: Checklist of reptilian fauna of Algeria

description: We collected reptilian species occurrence records through direct field observations, especially in the north-east of Algeria. The reading of the scientific literature published on the herpetofauna in different regions of Algeria was used to establish the list of Reptiles. Online databases such as the Global Biodiversity Information Facility (GBIF) (http://www.gbif.org/), the Reptile Database (http://www.reptile-database.org/) and also the IUCN Red List were used. We also used personal observations of the experts, unpublished reports), and consultation with specialized groups on biodiversity and wildlife in Algeria. The reptiles occurrences in Algeria were organized and identified based on the literature by <em>Chirio (1995)</em>, <em>Schleich et al. (1996)</em>, <em>Rouag and Benyacoub (2006)</em>, <em>Larbes (2007)</em>, <em>Geniez (2015)</em>, <em>Beddek (2017)</em>, <em>Mouane et al. (2021)</em> and the validation of a list of the Reptiles by researchers from Chadli Bendjedid University: Rachid Rouag, was carried out from a synthesis of this literature data. In all, 102 species were identifited. The Global Names Resolver (http://www.resolver.globalnames.org/) tool was used for taxonomic spell-checking.
DOI: 10.5281/zenodo.7731035
title: Checklist of reptilian fauna of Algeria

description: We collected reptilian species occurrence records through direct field observations, especially in the north-east of Algeria. The reading of the scientific literature published on the herpetofauna in different regions of Algeria was used to establish the list of Reptiles. Online databases such as the Global Biodiversity Information Facility (GBIF) (http://www.gbif.org/), the Reptile Database (http://www.reptile-database.org/) and also the IUCN Red List were used. We also used personal observations of the experts, unpublished reports), and consultation with specialized groups on biodiversity and wildlife in Algeria. The reptiles occurrences in Algeria were organized and identified based on the literature by <em>Chirio (1995)</em>, <em>Schleich et al. (1996)</em>, <em>Rouag and Benyacoub (2006)</em>, <em>Larbes (2007)</em>, <em>Geniez (2015)</em>, <em>Beddek (2017)</em>, <em>Mouane et al. (2021)</em> and the validation of a list of the Reptiles by researchers from Chadli Bendjedid University: Rachid Rouag, was carried out from a synthesis of this literature data. In all, 102 species were identifited. The Global Names Resolver (http://www.resolver.globalnames.org/) tool was used for taxonomic spell-checking.
DOI: 10.5281/zenodo.7731065
title: Checklist of reptilian fauna of Algeria

description: We collected reptilian species occurrence records through direct field observations, especially in the north-east of Algeria. The reading of the scientific literature published on the herpetofauna in different regions of Algeria was used to establish the list of Reptiles. Online databases such as the Global Biodiversity Information Facility (GBIF) (http://www.gbif.org/), the Reptile Database (http://www.reptile-database.org/) and also the IUCN Red List were used. We also used personal observations of the experts, unpublished reports), and consultation with specialized groups on biodiversity and wildlife in Algeria. The reptiles occurrences in Algeria were organized and identified based on the literature by <em>Chirio (1995)</em>, <em>Schleich et al. (1996)</em>, <em>Rouag and Benyacoub (2006)</em>, <em>Larbes (2007)</em>, <em>Geniez (2015)</em>, <em>Beddek (2017)</em>, <em>Mouane et al. (2021)</em> and the validation of a list of the Reptiles by researchers from Chadli Bendjedid University: Rachid Rouag, was carried out from a synthesis of this literature data. In all, 102 species were identifited. The Global Names Resolver (http://www.resolver.globalnames.org/) tool was used for taxonomic spell-checking.
DOI: 10.5281/zenodo.7731095
title: Checklist of reptilian fauna of Algeria

description: We collected reptilian species occurrence records through direct field observations, especially in the north-east of Algeria. The reading of the scientific literature published on the herpetofauna in different regions of Algeria was used to establish the list of Reptiles. Online databases such as the Global Biodiversity Information Facility (GBIF) (http://www.gbif.org/), the Reptile Database (http://www.reptile-database.org/) and also the IUCN Red List were used. We also used personal observations of the experts, unpublished reports), and consultation with specialized groups on biodiversity and wildlife in Algeria. The reptiles occurrences in Algeria were organized and identified based on the literature by <em>Chirio (1995)</em>, <em>Schleich et al. (1996)</em>, <em>Rouag and Benyacoub (2006)</em>, <em>Larbes (2007)</em>, <em>Geniez (2015)</em>, <em>Beddek (2017)</em>, <em>Mouane et al. (2021)</em> and the validation of a list of the Reptiles by researchers from Chadli Bendjedid University: Rachid Rouag, was carried out from a synthesis of this literature data. In all, 102 species were identifited. The Global Names Resolver (http://www.resolver.globalnames.org/) tool was used for taxonomic spell-checking.
DOI: 10.5281/zenodo.7731147
title: Checklist of reptilian fauna of Algeria

description: We collected reptilian species occurrence records through direct field observations, especially in the north-east of Algeria. The reading of the scientific literature published on the herpetofauna in different regions of Algeria was used to establish the list of Reptiles. Online databases such as the Global Biodiversity Information Facility (GBIF) (http://www.gbif.org/), the Reptile Database (http://www.reptile-database.org/) and also the IUCN Red List were used. We also used personal observations of the experts, unpublished reports), and consultation with specialized groups on biodiversity and wildlife in Algeria. The reptiles occurrences in Algeria were organized and identified based on the literature by <em>Chirio (1995)</em>, <em>Schleich et al. (1996)</em>, <em>Rouag and Benyacoub (2006)</em>, <em>Larbes (2007)</em>, <em>Geniez (2015)</em>, <em>Beddek (2017)</em>, <em>Mouane et al. (2021)</em> and the validation of a list of the Reptiles by researchers from Chadli Bendjedid University: Rachid Rouag, was carried out from a synthesis of this literature data. In all, 102 species were identifited. The Global Names Resolver (http://www.resolver.globalnames.org/) tool was used for taxonomic spell-checking.
DOI: 10.5517/ccdc.csd.cc2dkph5
title: CCDC 2221537: Experimental Crystal Structure Determination

description: Related Article: Matthew G. Robb, Sally Brooker|2023|Cryst.Growth Des.|23|1848|doi:10.1021/acs.cgd.2c01341
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: 10.5281/zenodo.7718931
title: Data and code from: Invasive blackberry outcompetes endemic Galapagos tree daisy Scalesia pedunculata

description: Code and Data for Riegl et al: Invasive Blackberry Outcompetes The Endemic Galapagos Tree Daisy Scalesia pedunculata. Ecological Applications. All code and datafiles used in this publication are provided. Data are from Scalesia pedunculata trees in 17 plots with blackberry (Rubus niveus) either experimentally removed, or still present. Measurements are total height (to the nearest 10 cm) and diameter at breast height (DBH). Survival of trees was tracked over 7 years and recruits were counted. Datasets extend from 2014 to 2021.
DOI: 10.6084/m9.figshare.22266949
title: litter decomposition data in global blue carbon ecosystems

description: This is a dataset about litter decomposition in blue C ecosystems.
DOI: 10.6084/m9.figshare.22266952
title: urban secne point cloud dataset

description: urban scene point cloud dataset
DOI: 10.6084/m9.figshare.22266976
title: Embryonic palatal bone development sequencing data in mice

description: Embryonic palatal bone development sequencing data in mice
DOI: 10.6084/m9.figshare.22266976.v1
title: Embryonic palatal bone development sequencing data in mice

description: Embryonic palatal bone development sequencing data in mice
DOI: 10.5281/zenodo.7731156
title: datasets_CEWA567

description: These datasets correspond to a CEWA 567 class project conducted at the University of Washington. These data enabling running a series of jupyter notebooks the walk users through analyzing the potential of GEDI data for quantifying and mapping forest structure metrics and burn severity in the southern Sierra Nevada of California.
DOI: 10.5281/zenodo.7731155
title: datasets_CEWA567

description: These datasets correspond to a CEWA 567 class project conducted at the University of Washington. These data enabling running a series of jupyter notebooks the walk users through analyzing the potential of GEDI data for quantifying and mapping forest structure metrics and burn severity in the southern Sierra Nevada of California.
DOI: 10.6084/m9.figshare.21823455.v29
title: The ReptileEvolution.com Project

description: Taxon exclusion is the number one problem currently vexing paleontology. The search for pterosaur, turtle, bat, snake, whale, reptile and tetrapod ancestors continues to unnecessarily befuddle paleontologists who continue to work from cherry-picked, textbook and traditional taxon lists that overlook and omit pertinent taxa. That’s why the large reptile tree (LRT), the nearly completely resolved cladogram at the heart of www.ReptileEvolution.com, includes 2212 taxa. Larger taxon numbers minimize taxon exclusion issues. Results indicate the simple act of adding taxa resolves all phylogenetic issues.
DOI: 10.6084/m9.figshare.22266991
title: Future Profiles of Texas 123-bus Backbone Transmission (TX-123BT) System

description: Future profiles of Texas 123-bus backbone transmission (TX-123BT) system.
DOI: 10.6084/m9.figshare.22266991.v1
title: Future Profiles of TX-123BT

description: Future profiles of Texas 123-bus backbone transmission (TX-123BT) system.
DOI: 10.6084/m9.figshare.22266973
title: figure2_data.tplot

description: The data for producing Figure 2 are saved in the file ''figure2_data'', which can be restored and displayed respectively by the IDL procedure ''tplot_restore'' and ''tplot'' provided by the publicly available SPEDAS software (http://spedas.org). The variables named as ''wave_powspec'', ''wave_waveangle'', ''wave_elliptict'' are power spectral density, wave normal angle, and ellipticity, respectively. The variables named as ''mvn_B_full_fac_bp_x'', ''mvn_B_full_fac_bp_y'', ''mvn_B_full_fac_bp_z'' are radial, azimuthal, and field-aligned components of the magnetic field in the mean field-aligned coordinate system, respectively.
DOI: 10.6084/m9.figshare.22266973.v1
title: figure2_data.tplot

description: The data for producing Figure 2 are saved in the file ''figure2_data'', which can be restored and displayed respectively by the IDL procedure ''tplot_restore'' and ''tplot'' provided by the publicly available SPEDAS software (http://spedas.org). The variables named as ''wave_powspec'', ''wave_waveangle'', ''wave_elliptict'' are power spectral density, wave normal angle and ellipticity, respectively. The variables named as ''mvn_B_full_fac_bp_x'', ''mvn_B_full_fac_bp_y'', ''mvn_B_full_fac_bp_z'' are radial, azimuthal and field-aligned components of magnetic field in the mean field-aligned coordinate system, respectively.
DOI: 10.6084/m9.figshare.22266973.v2
title: figure2_data.tplot

description: The data for producing Figure 2 are saved in the file ''figure2_data'', which can be restored and displayed respectively by the IDL procedure ''tplot_restore'' and ''tplot'' provided by the publicly available SPEDAS software (http://spedas.org). The variables named as ''wave_powspec'', ''wave_waveangle'', ''wave_elliptict'' are power spectral density, wave normal angle, and ellipticity, respectively. The variables named as ''mvn_B_full_fac_bp_x'', ''mvn_B_full_fac_bp_y'', ''mvn_B_full_fac_bp_z'' are radial, azimuthal, and field-aligned components of the magnetic field in the mean field-aligned coordinate system, respectively.
DOI: 10.5281/zenodo.7731184
title: Wayfinding artificial intelligence to detect clinically meaningful spots of retinal diseases: Artificial intelligence to help retina specialists in real world practice

description: Dataset related to the Ambiguity index of 300 images analyzed in the thesis.
DOI: 10.5281/zenodo.7731183
title: Wayfinding artificial intelligence to detect clinically meaningful spots of retinal diseases: Artificial intelligence to help retina specialists in real world practice

description: Dataset related to the Ambiguity index of 300 images analyzed in the thesis.
DOI: 10.6084/m9.figshare.22266961
title: FASTA file

description: The aligned nucleotide sequences of N and N-like proteins from Solanaceae species. Using Aliview to visualize the sequences of all proteins that were found, then using the MUSCLE software in Aliview, we were able to align them and translate into amino acid sequences
DOI: 10.6084/m9.figshare.22266970
title: figure4_data

description: The data for producing Figure 4 are saved in the file ''figure4_data'', which can be restored by the IDL procedure ''restore''. The proton velocity distributions, wave growth rates, and wave power spectral densities are stored in the variable ''proton_psd'', ''growth_rate'' and ''wave_power'', respectively.
DOI: 10.6084/m9.figshare.22266970.v1
title: figure4_data

description: The data for producing Figure 4 are saved in the file ''figure4_data'', which can be restored by the IDL procedure ''restore''. The proton velocity distributions, wave growth rates, and wave power spectral densities are stored in the variable ''proton_psd'', ''growth_rate'' and ''wave_power'', respectively.
DOI: 10.6084/m9.figshare.22266934
title: Supplementary data 1:Fasta file of tlr3 gene sequences in new world and old world primates

description: A comparison of genomic sequences of tlr3 derived from old world and new world primate species, consisting of black snub-nosed monkey (Rhinopithecus bieti), drill (Mandrillus leucophaeus), olive baboon (Papio anubis), vervet-AGM (Chlorocebus sabaeus), sooty mangabey (Cercocebus atys), Bolivian squirrel monkey (Saimiri boliviensis boliviensis), Ma's night monkey (Aotus nancymaae), white-tufted-ear marmoset (Callithrix jacchus), and bamboo lemur (Hapalemur griseus), alongside the Tarsier (Carlito syrichta) outgroup. This dataset was used to investigate the molecular mechanisms underlying the antiviral response to Zika virus seen in these primate species. The comparison reveals similarities and differences in the genomic sequences, providing valuable insights into the evolution of primate immune systems. The figure underscores the importance of genomic studies for unraveling the complex interplay between viruses and their host's immune systems.
DOI: 10.6084/m9.figshare.22266934.v1
title: Supplementary data 1:Fasta file of tlr3 gene sequences in new world and old world primates

description: A comparison of genomic sequences of tlr3 derived from old world and new world primate species, consisting of black snub-nosed monkey (Rhinopithecus bieti), drill (Mandrillus leucophaeus), olive baboon (Papio anubis), vervet-AGM (Chlorocebus sabaeus), sooty mangabey (Cercocebus atys), Bolivian squirrel monkey (Saimiri boliviensis boliviensis), Ma's night monkey (Aotus nancymaae), white-tufted-ear marmoset (Callithrix jacchus), and bamboo lemur (Hapalemur griseus), alongside the Tarsier (Carlito syrichta) outgroup. This dataset was used to investigate the molecular mechanisms underlying the antiviral response to Zika virus seen in these primate species. The comparison reveals similarities and differences in the genomic sequences, providing valuable insights into the evolution of primate immune systems. The figure underscores the importance of genomic studies for unraveling the complex interplay between viruses and their host's immune systems.
DOI: 10.6084/m9.figshare.22267051
title: Old World and New World Phylogeny

description: A phylogenetic tree of the monkey species analyzed in the study. Tree was produced using PhyloT.
DOI: 10.6084/m9.figshare.22248265
title: EEG-based brain-machine interface to a powered exoskeleton for walking and standing: A longitudinal dataset for healthy able-bodied subjects

description: A multimodal longitudinal dataset from seven healthy able-bodied adults containing simultaneously recorded 64 channel scalp electroencephalography (EEG), electrooculography (EOG), electrode impedances, head motion, and the internal states of a powered robotic exoskeleton (REX, by RexBionics, New Zealand) controlled by a Brain-Machine Interface (BMI) system is presented in this repository. In an initial training phase (decoder calibration), the participants performed kinesthetic motor imagery of walking and stopping motions according to audible beep instructions in a straight path with the exoskeleton controlled by an operator remotely. In a second performance phase, after decoder calibration using Localized Fisher Discriminant Analysis dimensionality reduction and a Gaussian Mixture Model classifier on lower delta band (0.1-2 Hz) EEG signals, the subjects performed closed-loop BMI training sessions in which the BMI output controlled the start and stop of walking motions of the exoskeleton. The BMI performed asynchronous classification (Walk vs. Stop states) which continuously classifies the user’s intention (Walk, Stop) to control the REX exoskeleton. While both the decoder calibration and closed-loop BMI training phases occurred every session, the decoder parameters were fixed after the fifth session, and the participants’ ability to accurately control the exoskeleton’s walking or stopping state was measured. Overall, the decoder training and BMI training sessions were executed over multiple sessions ranging from 15 to 81 days. <br> **Data Descriptor will be submitted elsewhere for peer review.
DOI: 10.6084/m9.figshare.22248265.v1
title: EEG-based brain-machine interface to a powered exoskeleton for walking and standing: A longitudinal dataset for healthy able-bodied subjects

description: Brain-machine interfaces (BMI) are systems that translate brain activity into motor commands to control physical or virtual<br> machines such as computers, prostheses, exoskeletons, and avatars. BMI systems have been deployed as assistive devices,<br> such as wheelchairs and robotic systems, for individuals with paralysis due to spinal cord injury; to control artificial limbs or<br> exoskeletons to restore movement after limb amputation or brain injury; or as communication devices (e.g., brain-computer<br> interfaces). However, significant challenges remain, including understanding how BMI training affects brain activity and BMI<br> performance. In this report, we present a multimodal longitudinal dataset containing simultaneously recorded high-density<br> scalp electroencephalography (EEG), electrooculography (EOG), head motion, and the internal states of a powered robotic<br> exoskeleton controlled by a BMI system in a cohort of seven healthy able-bodied subjects. In an initial decoder calibration phase,<br> the participants performed kinesthetic motor imagery of walking and stopping motions according to audible beep instructions in<br> a straight path with the exoskeleton controlled by an operator remotely. This allowed synchronized acquisition of robot motion<br> and EEG data while ensuring user engagement in the tasks. In a second phase, after decoder calibration using Localized<br> Fisher Discriminant Analysis dimensionality reduction and a Gaussian Mixture Model classifier on lower delta band (0.1-2 Hz)<br> EEG signals, the subjects performed closed-loop BMI training sessions in which the BMI output controlled the start and stop of<br> walking motions of the exoskeleton. The BMI performed asynchronous classification (Walk vs. Stop states) which continuously<br> classifies the user’s intention during the motor and stop execution. While both the decoder calibration and closed-loop BMI<br> training phases occurred every session, the decoder parameters were fixed after the fifth session, and the participants’ ability<br> to accurately control the exoskeleton’s walking or stopping state was measured. Overall, the decoder training and BMI training<br> sessions were executed over multiple sessions ranging from 15 to 81 days. In this report, we present the rationale for collecting<br> these longitudinal data, a detailed explanation of the experimental setup and data acquisition procedures, and a brief validation<br> of the data quality of the dataset.