cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5439/1888373
title: camaosgroundstackmovie (a1)

description: camaosgroundstackmovie
DOI: 10.5439/1888374
title: camaosgroundstack (a1)

description: camaosgroundstack
DOI: 10.5439/1888375
title: camldismovie (a1)

description: camldismovie
DOI: 10.5439/1888376
title: camldis (a1)

description: camldis
DOI: 10.5439/1888377
title: camweathermainmovie (a1)

description: camweathermainmovie
DOI: 10.5439/1888378
title: camweathermain (a1)

description: camweathermain
DOI: 10.6084/m9.figshare.19729702.v1
title: S2-TweetIDS

description: Tweets IDs related to COVID-19
DOI: 10.6084/m9.figshare.19729717.v1
title: S5_Twitter data

description: Twitter data used in the analysis.
DOI: 10.21227/vg0p-hn48
title: Heterogeneous Datasets for TinyUStaging

description: Nowadays, more and more machine learning models have emerged in the field of sleep staging. However, they have not been widely used in practical situations, which may be due to the non-comprehensiveness of these models' clinical and subject background and the lack of persuasiveness and guarantee of generalization performance outside the given datasets. Meanwhile, polysomnogram (PSG), as the gold standard of sleep staging, is rather intrusive and expensive. In this paper, we propose a novel automatic sleep staging architecture called TinyUStaging using single-lead EEG and EOG. The TinyUStaging is an efficient U-Net with multiple attention modules, including Channel and Special Joint Attention (CSJA) block and Squeeze and Excitation (SE) block. Besides, we design sampling strategies and propose a class-aware Sparse Weighted Dice and Focal (SWDF) loss function. The results show that it significantly improves the recognition rate for minority classes and hard samples such as N1 sleep. Noteworthily, we select seven highly heterogeneous datasets covering 9,970 records with above 2w hours among 7,226 subjects spanning 950 days for training, validation and evaluation. Additionally, two hold-out sets containing healthy and sleep-disordered subjects are considered to verify the model's generalization. The results demonstrate that our model outperforms state-of-the-art methods, achieving an average overall accuracy, macro F1-score and kappa of 84.62%, 0.796, 0.764 on heterogeneous datasets, providing a solid foundation for out-of-hospital sleep monitoring.
DOI: 10.6084/m9.figshare.19729717.v2
title: S5_Twitter counts

description: Twitter counts used in the analysis.
DOI: 10.6084/m9.figshare.19729717
title: S5_Tweet counts

description: Twitter counts used in the analysis.
DOI: 10.6084/m9.figshare.19729717.v3
title: S5_Tweet counts

description: Twitter counts used in the analysis.
DOI: 10.6084/m9.figshare.19729717.v4
title: S5_Tweet counts

description: Twitter counts used in the analysis.
DOI: 10.34740/kaggle/dsv/4239359
title: Russian Invasion of Ukraine
DOI: 10.5281/zenodo.7106430
title: rDrugSimDB extra datasets

description: This is a repository for storing datasets used for rDrugSimDB.
DOI: 10.5281/zenodo.7106429
title: rDrugSimDB extra datasets

description: This is a repository for storing datasets used for rDrugSimDB.
DOI: 10.6084/m9.figshare.21191959
title: S1DataSet.zip

description: this data contains step length symmetries measured by 30 subjects
DOI: 10.6084/m9.figshare.21191959.v1
title: S1DataSet.zip

description: this data contains step length symmetries measured by 30 subjects
DOI: 10.6084/m9.figshare.21192043
title: Additional file 2 of Metagenomics-resolved genomics provides novel insights into chitin turnover, metabolic specialization, and niche partitioning in the octocoral microbiome

description: Additional file 2: Table S1. General genomic features, taxonomic classification and genome assembly accession numbers of each of the 66 metagenome-assembled genomes (MAGs) obtained from octocoral- and seawater-derived microbial metagenomes. Table S2. Overview of the number and quality of MAGs obtained from octocoral- and seawater-derived microbial metagenome samples. Table S3. Clusters of Orthologous Groups of proteins (COGs) annotation of the 66 MAGs analysed in this study. Table S4. Results of the SIMPER test performed on COG profiles (Hellinger-transformed abundances; Euclidean distances) of the 66 MAGs grouped at order level. Table S5A. Absolute abundances (counts) of COG functions shown in Figure 4 that distinguished the 66 MAGs the most (based on SIMPER and Welch's tests). Table S5B. Relative abundances of COG functions shown in Figure 4 that distinguished the 66 MAGs the most (based on SIMPER and Welch's tests). Table S6A. Features of the endo-chitinase (EC 3.2.1.14) genes found on the 11 Endozoicomonadaceae MAGs of this study. Table S6B. Genes involved in chitin degradation present on the 11 Endozoicomonadaceae MAGs of this study and other, publicly available Endozoicomonadaceae genomes. Table S7. Amino acid (n= 20) and B vitamin (n = 8) biosynthesis capacities (based on genomic evidence) of the 11 bacterial species recovered from the microbiomes of healthy octocoral tissue. Table S8. Secondary metabolite biosynthetic gene clusters (SM-BGCs) present on the 66 MAGs, annotated using antiSMASH bacterial version 5.0. Table S9. List of SM-BGCs with some level of homology to MIBiG database entries.
DOI: 10.6084/m9.figshare.21192043.v1
title: Additional file 2 of Metagenomics-resolved genomics provides novel insights into chitin turnover, metabolic specialization, and niche partitioning in the octocoral microbiome

description: Additional file 2: Table S1. General genomic features, taxonomic classification and genome assembly accession numbers of each of the 66 metagenome-assembled genomes (MAGs) obtained from octocoral- and seawater-derived microbial metagenomes. Table S2. Overview of the number and quality of MAGs obtained from octocoral- and seawater-derived microbial metagenome samples. Table S3. Clusters of Orthologous Groups of proteins (COGs) annotation of the 66 MAGs analysed in this study. Table S4. Results of the SIMPER test performed on COG profiles (Hellinger-transformed abundances; Euclidean distances) of the 66 MAGs grouped at order level. Table S5A. Absolute abundances (counts) of COG functions shown in Figure 4 that distinguished the 66 MAGs the most (based on SIMPER and Welch's tests). Table S5B. Relative abundances of COG functions shown in Figure 4 that distinguished the 66 MAGs the most (based on SIMPER and Welch's tests). Table S6A. Features of the endo-chitinase (EC 3.2.1.14) genes found on the 11 Endozoicomonadaceae MAGs of this study. Table S6B. Genes involved in chitin degradation present on the 11 Endozoicomonadaceae MAGs of this study and other, publicly available Endozoicomonadaceae genomes. Table S7. Amino acid (n= 20) and B vitamin (n = 8) biosynthesis capacities (based on genomic evidence) of the 11 bacterial species recovered from the microbiomes of healthy octocoral tissue. Table S8. Secondary metabolite biosynthetic gene clusters (SM-BGCs) present on the 66 MAGs, annotated using antiSMASH bacterial version 5.0. Table S9. List of SM-BGCs with some level of homology to MIBiG database entries.
DOI: 10.34820/fk2/426ily
title: EKSPLORASI MATERIAL CLING WRAP MENGGUNAKAN TEKNIK HOT PRESS

description: Peningkatan konsumsi serta permintaan material tekstil membuat produk tekstil dari segi material dan elemen dekoratif berkembang. Perkembangan tersebut dapat dicapai dengan pengaplikasian tekstur pada plastik cling wrap menggunakan teknik hot press secara sederhana dengan setrika. Tujuan dari penelitian ini, yaitu untuk memahami cara menerapkan teknik hot press pada material cling wrap sebagai upaya menghasilkan olahan bertekstur yang kemudian dapat diolah menjadi produk fashion berupa perhiasan. Penelitian Tugas Akhir ini merupakan penelitian kualitatif dengan metode pengumpulan data, yaitu studi literatur, observasi, dan eksplorasi dengan batasan masalah berupa jumlah lembaran, suhu, waktu dan tema. Hasil dari penelitian ini berupa alternatif pengolahan material plastik sebagai upaya menghasilkan produk aksesoris fashion.
DOI: 10.6084/m9.figshare.21192102
title: Additional file 1 of Factors impacting—stillbirth and neonatal death audit in Malawi: a qualitative study

description: Additional file 1.
DOI: 10.6084/m9.figshare.21192163
title: Additional file 2 of The impact of COVID-19 on individual oral health: a scoping review

description: Additional file 2. Extracted data
DOI: 10.6084/m9.figshare.21192163.v1
title: Additional file 2 of The impact of COVID-19 on individual oral health: a scoping review

description: Additional file 2. Extracted data
DOI: 10.6084/m9.figshare.21192229
title: Additional file 5 of Attributes in stated preference elicitation studies on colorectal cancer screening and their relative importance for decision-making among screenees: a systematic review

description: Additional file 5. Consensus answers and ratings of risk of bias including free-text support and direct quotations for included discrete choice experiments and conjoint analyses
DOI: 10.6084/m9.figshare.21192229.v1
title: Additional file 5 of Attributes in stated preference elicitation studies on colorectal cancer screening and their relative importance for decision-making among screenees: a systematic review

description: Additional file 5. Consensus answers and ratings of risk of bias including free-text support and direct quotations for included discrete choice experiments and conjoint analyses
DOI: 10.6084/m9.figshare.21192219
title: Additional file 1 of Epigenetic and transcriptomic alterations in offspring born to women with type 1 diabetes (the EPICOM study)

description: Additional file 1: Table T1. List of differentially methylated positions between type 1 diabetes exposed offspring and controls. Displayed are positions with a crude p &lt; 0.005 and a M-value ≥ 1. The mean M values and mean B values displayed are corrected for cell count and age.
DOI: 10.6084/m9.figshare.21192219.v1
title: Additional file 1 of Epigenetic and transcriptomic alterations in offspring born to women with type 1 diabetes (the EPICOM study)

description: Additional file 1: Table T1. List of differentially methylated positions between type 1 diabetes exposed offspring and controls. Displayed are positions with a crude p &lt; 0.005 and a M-value ≥ 1. The mean M values and mean B values displayed are corrected for cell count and age.
DOI: 10.6084/m9.figshare.21192225
title: Additional file 2 of Epigenetic and transcriptomic alterations in offspring born to women with type 1 diabetes (the EPICOM study)

description: Additional file 2: Table T2. List of differentially methylated regions between type 1 diabetes exposed offspring and controls. Displayed are regions with a crude p &lt; 0.005.
DOI: 10.6084/m9.figshare.21192225.v1
title: Additional file 2 of Epigenetic and transcriptomic alterations in offspring born to women with type 1 diabetes (the EPICOM study)

description: Additional file 2: Table T2. List of differentially methylated regions between type 1 diabetes exposed offspring and controls. Displayed are regions with a crude p &lt; 0.005.
DOI: 10.6084/m9.figshare.21192231
title: Additional file 4 of Epigenetic and transcriptomic alterations in offspring born to women with type 1 diabetes (the EPICOM study)

description: Additional file 4: Table T3. List of differentially expressed non-coding RNA between type 1 diabetes exposed offspring and controls. Displayed are genes with a crude p &lt; 0.005 and a log2FC ≥ 0.3.
DOI: 10.6084/m9.figshare.21192231.v1
title: Additional file 4 of Epigenetic and transcriptomic alterations in offspring born to women with type 1 diabetes (the EPICOM study)

description: Additional file 4: Table T3. List of differentially expressed non-coding RNA between type 1 diabetes exposed offspring and controls. Displayed are genes with a crude p &lt; 0.005 and a log2FC ≥ 0.3.
DOI: 10.6084/m9.figshare.21192237
title: Additional file 6 of Epigenetic and transcriptomic alterations in offspring born to women with type 1 diabetes (the EPICOM study)

description: Additional file 6: Table T4. Gene Set Enrichment Analysis of differentially methylated positions. List of biological processes (Gen Ontology, GOBP) associated with the differentially methylated positions (p &lt; 0.01).
DOI: 10.6084/m9.figshare.21192237.v1
title: Additional file 6 of Epigenetic and transcriptomic alterations in offspring born to women with type 1 diabetes (the EPICOM study)

description: Additional file 6: Table T4. Gene Set Enrichment Analysis of differentially methylated positions. List of biological processes (Gen Ontology, GOBP) associated with the differentially methylated positions (p &lt; 0.01).
DOI: 10.6084/m9.figshare.21192240
title: Additional file 7 of Epigenetic and transcriptomic alterations in offspring born to women with type 1 diabetes (the EPICOM study)

description: Additional file 7: Table T5. Gene Set Enrichment Analysis of differentially methylated positions. List of biological pathways (REACTOME) associated with the differentially methylated positions (p &lt; 0.01).
DOI: 10.6084/m9.figshare.21192240.v1
title: Additional file 7 of Epigenetic and transcriptomic alterations in offspring born to women with type 1 diabetes (the EPICOM study)

description: Additional file 7: Table T5. Gene Set Enrichment Analysis of differentially methylated positions. List of biological pathways (REACTOME) associated with the differentially methylated positions (p &lt; 0.01).
DOI: 10.6084/m9.figshare.21192246.v1
title: Additional file 9 of Epigenetic and transcriptomic alterations in offspring born to women with type 1 diabetes (the EPICOM study)

description: Additional file 9: Table T6. Correlation between DNA methylation and RNA expression between type 1 diabetes-exposed offspring and controls. Displayed are all correlations reaching a p &lt; 0.05 and marked with grey are correlations reaching a p &lt; 0.10 using Spearman Ranks correlation between level of methylation and gene expression (normalized counts). P-value (correlation analysis) and FDR (correlation analysis) is the p-value/FDR for the DEG used as input for the correlation analysis.
DOI: 10.6084/m9.figshare.21192246
title: Additional file 9 of Epigenetic and transcriptomic alterations in offspring born to women with type 1 diabetes (the EPICOM study)

description: Additional file 9: Table T6. Correlation between DNA methylation and RNA expression between type 1 diabetes-exposed offspring and controls. Displayed are all correlations reaching a p &lt; 0.05 and marked with grey are correlations reaching a p &lt; 0.10 using Spearman Ranks correlation between level of methylation and gene expression (normalized counts). P-value (correlation analysis) and FDR (correlation analysis) is the p-value/FDR for the DEG used as input for the correlation analysis.
DOI: 10.6084/m9.figshare.21192309
title: Additional file 4 of The impact of two state-level approaches to restricting the sale of flavored tobacco products

description: Additional file 4.
DOI: 10.6084/m9.figshare.21192309.v1
title: Additional file 4 of The impact of two state-level approaches to restricting the sale of flavored tobacco products

description: Additional file 4.
DOI: 10.6084/m9.figshare.21153442.v1
title: forward-facing 1

description: This data set is generated using the Coppelia Sim. The first forward-facing camera dataset is created using cameras attached to each robot and accessed programmatically. Each camera has 120o field of view. <br> The Video from each robot is cut into sequences of 75 frames of size 64x64 pixels. This low resolution is used to decrease the data dimensionality. The images are converted to grayscale for the same reason. <br>
DOI: 10.25921/e4g0-5e64
title: EK60 Water Column Sonar Data Collected During NF1805
DOI: 10.21227/40ds-0z76
title: FSC22 Dataset

description: DescriptionForest environmental sound classification is one use case of ESC which has been widely experimenting to identify illegal activities inside a forest. With the unavailability of public datasets specific to forest sounds, there is a requirement for a benchmark forest environment sound dataset. With this motivation, the FSC22 was created as a public benchmark dataset, using the audio samples collected from FreeSound org. This dataset includes 2025 labeled sound clips of 5s long. All the audio samples are distributed between six major parent-level classes; Mechanical sounds, Animal sounds, Environmental Sounds, Vehicle Sounds, Forest Threat Sounds, and Human Sounds. Further, each class is divided into subclasses that capture specific sounds which fall under the main category. Overall the dataset taxonomy consists of 34 classes as shown below. For the first phase of the dataset creation, 75 audio samples for every 27 classes were collected.  We expect that this dataset will help research communities with their research work governing Forest Acoustic monitoring and classification domain. SourcesThis dataset contains 2025 audio clips originating from the online audio database FreeSound Org(https://freesound.org/). FreeSound is a free platform that consists of thousands of audio recordings. Collection methodology After finalizing the taxonomy of the dataset, data was collected from the FreeSound platform for each class.  For each of the selected class labels, we queried for audio samples which contain the considered label in the title or the description, using the API endpoint for text search. This was done using an automated python script. Then all the gathered data was filtered and validated through a manual process. First, all the queried results were checked, and removed the irrelevant records. Then filtered audio samples were sent through further processing to select the most accurate audios by downloading each audio clip and listening to them. Following, 75 audio clips with a duration, nearly equal to 5 seconds were selected per class. In the end, the filtered and validated data were normalized and 75 audio clips with a fixed length of 5s were finalized per class.
DOI: 10.3886/e138261v1-127860
title: Always Egalitarian? Australian Earnings Inequality 1870-1910

description: This is the Online appendix of article "<b>Always Egalitarian? Australian Earnings Inequality 1870-1910</b>" published in the Australian Economic History Review in July 2021<br>
DOI: 10.6084/m9.figshare.21187120.v1
title: Peri-tumoral administration of peripheral opioid agonist mitigates cancer induced bone pain

description: This repository contains all raw data files (excel format) along with graphpad prism files related to analysed data. This data is linked to our mansucript that is currently being submitted for peer review. Data and analysis files have been compiled and arranged for each figure in the submitted manuscript.The manuscript is titled '<strong>Peri-tumoral administration of peripheral opioid agonist mitigates cancer induced bone pain</strong>'.
DOI: 10.25921/tt6p-ew65
title: EK60 Water Column Sonar Data Collected During NF2104
DOI: 10.6084/m9.figshare.21192835
title: Data Deception Behavior, Fear of Missing Out, Personality, and Problematic Social Media Use

description: Data Deception Behavior, Fear of Missing Out, Personality, and Problematic Social Media Use
DOI: 10.17909/y6dh-6g16
title: The NIRISS pre-imaging of Abell 2744 from JWST ERS 1324

description: JWST data used in paper ""
DOI: 10.5281/zenodo.7046069
title: Replication Data for: ``Impact of Parameterized Isopycnal Diffusivity on Shelf-Ocean Exchanges under Upwelling-Favorable Winds: Offline Tracer Simulations Augmented by Artificial Neural Network''

description: This dataset contains the MAMEBUS source code, configuration files for the MITgcm and MAMEBUS simulations, model diagnostics used in the paper, and scripts to train the Artificial Neural Networks.
DOI: 10.5281/zenodo.7046068
title: Replication Data for: ``Impact of Parameterized Isopycnal Diffusivity on Shelf-Ocean Exchanges under Upwelling-Favorable Winds: Offline Tracer Simulations Augmented by Artificial Neural Network''

description: This dataset contains the modified MAMEBUS source code, configuration files for the MITgcm and MAMEBUS simulations, model diagnostics used in the paper, and scripts to train the Artificial Neural Networks.
DOI: 10.5281/zenodo.7105701
title: Replication Data for: ``Impact of Parameterized Isopycnal Diffusivity on Shelf-Ocean Exchanges under Upwelling-Favorable Winds: Offline Tracer Simulations Augmented by Artificial Neural Network''

description: This dataset contains the modified MAMEBUS source code, configuration files for the MITgcm and MAMEBUS simulations, model diagnostics used in the paper, and scripts to train the Artificial Neural Networks.
DOI: 10.34820/fk2/t2nmo6/ldsevs
title: Materi 2_Ornamen dan Kain Tradisional.pdf

description: :unav
DOI: 10.34820/fk2/t2nmo6
title: Materi Ornamen dan Kain Tradisional

description: Ornamen dan Kain Tradisional Course
DOI: 10.5281/zenodo.7106624
title: Base de datos

description: <strong>Horizonte humanístico en las competencias comunicativas audiovisuales y nuevas narrativas de los adolescentes ecuatorianos</strong>
DOI: 10.5281/zenodo.7106623
title: Base de datos

description: <strong>Horizonte humanístico en las competencias comunicativas audiovisuales y nuevas narrativas de los adolescentes ecuatorianos</strong>
DOI: 10.34820/fk2/aesiee/xsors7
title: Figure 1a Screening flow diagram.jpg

description: :unav
DOI: 10.34820/fk2/aesiee
title: Screening flow diagram for Investigating Key Trends in New Normal Packaging Design

description: the figure illustrates the screening flow diagram of the included study in searching process as it was adopted by Young et al. (2020).
DOI: 10.6084/m9.figshare.14067035
title: Atlas de zonas áridas del Perú: Una evaluación presente y futura / Atlas of aridity zones of Peru: A present and future evaluation

description: La presente información esta fundamentada en el Atlas de Zonas Áridas del Perú, en donde se realizó una caracterización de la aridez a través de indicadores climáticológicos a nivel nacional en dos escenario: presente (1981-2010) y futuro (2035-2065).
DOI: 10.6084/m9.figshare.14067035.v2
title: Atlas de zonas áridas del Perú: Una evaluación presente y futura / Atlas of aridity zones of Peru: A present and future evaluation

description: La presente información esta fundamentada en el Atlas de Zonas Áridas del Perú, en donde se realizo una caracterización de la aridez a través de indicadores de aridez a nivel nacional en el tiempo presente (1981-2010) y futuro (2035-2065).
DOI: 10.5517/ccdc.csd.cc24x4jr
title: CCDC 1993254: Experimental Crystal Structure Determination

description: Related Article: He Zhang, Ying Kang, Xinyi Qi, Jingshuai Wu, Dong Liu, Aili Fan, Jian Huang, Wenhan Lin|2022|Bioorg.Chem.|129|106114|doi:10.1016/j.bioorg.2022.106114
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.cc24x4ks
title: CCDC 1993255: Experimental Crystal Structure Determination

description: Related Article: He Zhang, Ying Kang, Xinyi Qi, Jingshuai Wu, Dong Liu, Aili Fan, Jian Huang, Wenhan Lin|2022|Bioorg.Chem.|129|106114|doi:10.1016/j.bioorg.2022.106114
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.