cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.25868476.v1
title: Zhang 2021

description: https://www.sciencedirect.com/science/article/pii/S1535610821004992
DOI: 10.6084/m9.figshare.23607648.v1
title: patient05.rar

description: A Patient with fundus images that taken by Ret-cam.
DOI: 10.6084/m9.figshare.26057734.v5
title: Data for "Overlooked vital role of persistent algae-bacteria interaction in ocean recalcitrant carbon sequestration and its response to ocean warming"

description: Long-term carbon sequestration by the ocean’s recalcitrant dissolved organic carbon (RDOC) pool regulates global climate. Algae and bacteria interactively underpin RDOC formation. However, on the long-term scales, the influence of their persistent interactions close to in-situ state on ocean RDOC dynamics and accumulation remains unclear, limiting our understanding of the oceanic RDOC pool formation and future trends under global change. We show that a <i>Synechococcus</i>-bacteria interaction model system viable over 720 days gradually accumulated high DOC concentrations up to 84 mg L<sup>-1</sup>. Concurrently, the DOC inertness increased with the RDOC ratio reaching &gt;50%. The identified <i>Synechococcus</i>-bacteria-driven RDOC molecules shared similarity with over half of those from pelagic ocean DOC. Importantly, we provide direct genetic and metabolite evidence that alongside the continuous transformation of algal carbon by bacteria to generate RDOC, <i>Synechococcus</i> itself also directly synthesized and released RDOC molecules, representing a neglected RDOC source with ~0.2-1 Gt y<sup>-1</sup> in the ocean. However, we found that although ocean warming (+4℃) can promote algal and bacterial growth and DOC release, it destabilizes and reduces RDOC reservoirs, jeopardizing the ocean’s carbon sequestration capacity. This study unveils the previously underestimated yet significant role of algae and long-term algae-bacteria interactions in ocean carbon sequestration and its vulnerability to ocean warming.We submit the dataset, and supplementary material information in this study.<br>
DOI: 10.6084/m9.figshare.28726721.v1
title: Supplementary Table 5 snATAC cell cluster DAGeneList.xlsx

description: Supplemental data for: CCAAT/Enhancer-Binding Proteins α and β Regulate Ovulation and Gene Expression via Dose- and Stage-Dependent Mechanisms
DOI: 10.6084/m9.figshare.7073243.v1
title: CaF2(H2O)8 minima obtained at HF and MP2 levels

description: CaF2(H2O)8 minima obtained at the HF/6-31* and MP2/6-311++G** levels of theory. Electronic energy and ZPE included in each file.
DOI: 10.6084/m9.figshare.9995879.v1
title: Compressive strength.xlsx

description: The average values of compressive strength of CCGB at different ages (days 3, 7, 14, and 28) and substitution rates (0, 10, 20, 30, and 40 wt%) were recorded.
DOI: 10.17632/k28dtm7tr6
title: KARD - Kinect Activity Recognition Dataset

description: To cite this dataset, please refer to the following paper:

Human Activity Recognition Process Using 3-D Posture Data. S. Gaglio, G. Lo Re, M. Morana. In IEEE Transactions on Human-Machine Systems. 2014 doi: 10.1109/THMS.2014.2377111

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KARD contains 18 Activities. Each activity is performed 3 times by 10 different subjects.

1	Horizontal arm wave
2	High arm wave
3	Two hand wave
4	Catch Cap
5	High throw
6	Draw X
7	Draw Tick
8	Toss Paper
9	Forward Kick
10	Side Kick
11	Take Umbrella
12	Bend
13	Hand Clap
14	Walk
15	Phone Call
16	Drink
17	Sit down
18	Stand up

In total, you have 4 (files) x 18 (activities) x 3 (repetitions) x 10 (subjects), that is 2160 files.
Each filename is in the form aA_sS_eN_string where A is a two-digit actionID and S is a two-digit subjectID for the N-th repetition.

The string parameter depends on the the type of provided information:

- depthmaps.txt: depth map,
- .mp4: 640x480 RGB video,
- realworld.txt: joints position in real world coordinates,
- screen.txt: joints position in screen coordinates and depth value.

For example, the file a04_s03_e02_realworld.txt contains the skeleton joints position in real world coordinates for the second repetition of the action #4 performed by the subject #3.
The files containing the skeleton coordinates (realworld.txt and screen.txt) list the 15 joints in consecutive blocks, one for each frame.

line 1	Head
line 2	Neck
line 3	Right Shoulder
line 4	Right Elbow
line 5	Right Hand
line 6	Left Shoulder
line 7	Left Elbow
line 8	Left Hand
line 9	Torso
line 10	Right Hip
line 11	Right Knee
line 12	Right Foot
line 13	Left Hip
line 14	Left Knee
line 15	Left Foot

Each file contains 15xF lines, where F is the number of frames for that sequence, and each line reports three numbers: real world coordinates (x, y, z) for realworld.txt, or screen coordinates and depth value (u, v, depth) for screen.txt.

The dataset is made of 540 sequences for about a total of 1 hour of videos captured at a resolution of 640x480 pixels at 30fps. Uncompressed frame images are also available on request.
DOI: 10.6084/m9.figshare.24419989.v1
title: Dataset for Beyond a child's play

description: In the realm of mobile gaming, users often steer clear of in-game advertisements due to the disruptions they introduce. Nevertheless, game developers and advertisers are keen on enhancing ad acceptance. This study undertakes an empirical examination to validate the theoretical link between gaming experience and the avoidance of in-game mobile advertisements. It delves into the parallel, serial, and conditional mediation effects that come into play. Furthermore, this research probes the interaction effect of the fear of COVID-19 on the connection between gaming experience and one's attitude towards games. The data for this study is derived from 508 Generation Z respondents in Pakistan who are regular mobile gamers. Analysis is conducted using Partial Least Squares Structural Equation Modeling (PLS-SEM). The findings reveal that gaming experience indirectly influences ad avoidance through the mediation of attitudes towards both advertisements and game apps. Notably, the fear of COVID-19 moderates the relationships between attitudes towards games, attitudes towards advertisements, and in-game ad avoidance. Additionally, it is important to acknowledge that the study has limitations, including the regional and generational focus of the sample. These findings have significant implications for advertisers, game developers, and researchers, offering insights into the dynamics of ad avoidance in mobile gaming environments, while considering the unique context of COVID-19 and the need for personalized advertising strategies.<br>
DOI: 10.6084/m9.figshare.28930214.v1
title: datasets.zip

description: The used datasets
DOI: 10.6084/m9.figshare.4244255.v1
title: Appendix A large tables

description: This excel workbook contains tables A5, A6, A8, A11, A12, A13 and A16 from Appendix A of my PhD dissertation. These were too large to fit in my thesis document and so are provided here instead. <br>
DOI: 10.6084/m9.figshare.17113664.v1
title: Supplementary Data 1.zip

description: Data and Python scripts to generate the figures of the paper "Sleep as a random walk - A super-statistical analysis of EEG data across sleep stages" by C.Metzner et al.
DOI: 10.6084/m9.figshare.28407695.v3
title: misspelling_behaviors

description: Subtle yet persistent misspellings continue to disrupt information and knowledge societies, despite meticulous proofreading and collation efforts. The underlying mechanisms of human spelling failures remain poorly understood. Here we present a comprehensive framework for analyzing the spatiotemporal evolution of correct and incorrect spellings, encompassing the full spectrum of scientific terms, brands, and common words from their inception. Our framework introduces novel metrics, a spelling behavioral simulation (SBS) model and the Physarum algorithm to elucidate the spatiotemporal dynamics of collective spelling behaviors. Our analysis unveils a dual mechanism: (i) cumulative occurrence rate of collective spelling failures may approach zero but never reaching it; (ii) collective spelling behaviors spatially assemble into biomimetic geometries, punctuated by spontaneous individual misspellings. This paradigmatic coalition highlights the uncharted interplay between linguistic, cognitive, and sociocultural mechanisms that influence collective spelling failures. Our multidisciplinary findings inform immediate benefits gleaned from such human fallibilities.
DOI: 10.6084/m9.figshare.7235783.v1
title: Data from Intraspecific brain size variation between coexisting sunfish ecotypes

description: Raw data used in this article
DOI: 10.6084/m9.figshare.8074409.v1
title: Supplementary Material for: Spontaneous Regression of Cervical Intraepithelial Neoplasia 2: A Meta-analysis

description: <b><i>Background:</i></b> Cervical intraepithelial neoplasia (CIN) is a precancerous condition that, if progresses, can cause cervical cancer. Less severe forms such as CIN1 regress spontaneously for most of the cases, but for high-grade CIN (CIN2 or CIN3), have higher potentials for progression. <b><i>Objective:</i></b> Aim of the present study was to obtain reliable estimates of spontaneous regression and progression rates of CIN2. <b><i>Methods:</i></b> Data were extracted from eligible studies identified after literature search in electronic databases, and meta-analyses were performed by pooling the regression and progression rates reported by these studies. Meta-regression analyses were performed for the identification of factors affecting regression rate. <b><i>Results:</i></b> Sixteen studies (1,481 patients; 14.86 months [95% CI 9.25–20.48] follow-up; 28.23 years [95% CI 25.07–31.39] age) were included in the meta-analysis. Overall regression rate in these conservatively observed patients was 42.66% (95% CI 35.41–49.91), but regression rate was higher in studies that recruited patients with CIN2 (50.85% [95% CI 36.11–65.60]) in comparison with those that recruited patients without discrimination of CIN2 with CIN3 (36.31% [95% CI 27.67–44.95]. Progression rate in CIN2 patients was 10.28% [95% CI 3.72–16.84]). Age was significantly negatively associated with regression rate (coefficient –1.72 [–3.53 to 0.10]; <i>p</i> = 0.061). <b><i>Conclusion:</i></b> Spontaneous regression rate of CIN2 is considerably high, especially in younger years.
DOI: 10.17632/3m439mbrmm
title: Investigating intergroup attitudes in Europe

description: This dataset is part of a multidisciplinary project that investigates the relationship between attitudes of the adult population towards ‘newcomers’, and news media consumption and trust in Belgium, France, the Netherlands, and Sweden in 2017 (N = 6,000). These countries were chosen for their response to the 2015 refugee crisis in Europe, with each country having a different media context. We ran an online survey which included questions on socio-demographic characteristics, attitudinal indicators, and information on news media consumption and trust. The data are representative for age and gender in each country and can be of interest for researchers who wish to explore dynamics of attitude formation, particularly with regards to the role of news media, in the wake of the 2015 refugee crisis in Europe.
DOI: 10.48420/14877285.v3
title: Fifty hyperspectral reflectance images of outdoor scenes

description: The 50 zipped files hsi_1.zip, ..., hsi_50.zip in this dataset contain averaged hyperspectral reflectance images of outdoors scenes in Matlab MAT format, each of size ~ 336 × 256 × 33. Each hyperspectral reflectance image was obtained by spectrally scaling an original radiance image 1024 × 1344 × 33 by the reflectance of one or more reference surfaces embedded in the scene. The reflectance image was spatially downsampled to ~336 × 256 pixels by averaging over 4×4 pixels and then smoothed spectrally by averaging over adjacent wavelength values 400, 410, ..., 720 nm. <br><br>The file Scenes_and_Names_Key.pdf contains a key for relating image label, e.g. hsi_1, to scene name and image appearance. <br><br>The three zipped illuminant files illum_4000.zip, illum_6500.zip, and illum_25000.zip contain daylight spectra in Matlab MAT format, each of size 33 × 1, drawn from CIE daylight spectral distributions, which can be used to test the effects of illumination changes on scenes.<br><br>The hyperspectral images were acquired by Sérgio Nascimento, Kinjiro Amano, and David Foster from the Minho region of Portugal, 2002-2003.<br><br>For more information about the dataset and its usage, see README_50_Hyperspectral_Reflectance_Images_2022.pdf and the published article https://dx.doi.org/10.1098/rspb.2021.2483.
DOI: 10.6084/m9.figshare.1233912.v2
title: Open Science Peer Review Oath

description: The oath is a simple checklist to use when reviewing or considering a review request. We recommend that reviewers add a link to this oath at the top of each review as they begin, in order to provide an aide memoire to open review practice, and to inform the authors and potential publishers of the work of their intentions.
DOI: 10.6084/m9.figshare.29141777.v1
title: .sam files for "T cell populations are negatively correlated with Natural Killer and macrophage cell populations in aspirate samples of peripheral lymphadenopathies"

description: Raw data .sam files for patient fine needle aspirates analyzed in the paper.
DOI: 10.6084/m9.figshare.4757131.v1
title: Evolving Extragalactic Background and Luminosity Density

description: Comoving spectral luminosity density and Extragalactic background light (EBL) from 0.5 to 5 microns (comoving wavelength) from galaxies as predicted using the mean spectral energy distribution (SED) of galaxies measured in Lake and Wright (2016, DOI: 10.21105/astro.1603.0729) and the luminosity function (LF) Markov chain Monte Carlo (MCMC) posterior chains from Lake et al. (2017c). The LF posterior chains are available from Figshare under DOI: 10.6084/m9.figshare.4109625 . The files named 'SpectralLumaDens' contain the evolving spectral luminosity density, in units of kJy / Mpc. The files named 'EvolvingEBL' contain the evolving EBL in kJy / sr. Both files are available in flexible image transport system (fits, https://fits.gsfc.nasa.gov/) format. A full description of how these files were produced is in Lake et al. (2019).<br>
DOI: 10.6084/m9.figshare.4810993.v2
title: Adolescent SRQ dataset from Social Reward Questionnaire–Adolescent Version and its association with callous–unemotional traits

description: Complete dataset
DOI: 10.17632/mdfnyf2kfs
title: Late Ming Dynasty weak monsoon induced a harmonized megadrought across north-to-south China

description: Historians and paleoclimatologists have long studied the connection between ecoclimatic changes and empire growth, transformation, and decline, but striking cases remain rare. Here, we introduce a tree-ring chronology from southern China to reconstruct changes in April-to-November water balance of the middle reaches of the Yangtze River over the last 464 years. The reconstruction supports a quantitative assessment of the spatiotemporal structure of the late Ming megadrought and potential effects on subsequent dynastic transitions. Our results indicate that the late Ming megadrought from 1625 – 1644 CE occurred in both the northern and southern parts of the East Asian monsoon region in China. However, variations in the onset, duration, and magnitude of this event differ between regions. The combination of factors such as Pacific sea surface temperature anomalies, weakened solar activity, and large-scale volcanic eruptions may have contributed to the occurrence of the late Ming megadrought. These factors are also identified as key drivers of interannual to decadal fluctuations in drought in the middle reaches of the Yangtze River. Our reconstruction provides an historical context for the development of adaptive measures to mitigate future drought impacts in the region.
DOI: 10.6084/m9.figshare.11369220.v1
title: Gene database of Saccharomyces cerevisiae S288C

description: Much of genome and modern biology research is done with reductionist approaches using model organisms. <i>Saccharomyces cerevisiae</i> S288C is one such model organism that serves as a platform for investigating eukaryotic cellular processes as well as gene regulation and genetics. Although the genome of <i>S. cerevisiae</i> S288C was sequenced early in the genomic era, its compendium of gene identifier, gene function and gene sequence remain hidden from view of biologists without access to bioinformatic tools. More importantly, the genome of <i>S. cerevisiae</i> S288C is distributed across 16 chromosomes, which makes the task of searching for particular gene and its sequence more difficult. This work sought to ameliorate the above challenge by using an in-house MATLAB software to parse the annotated genome sequence files of <i>S. cerevisiae </i>S288C obtained from Genbank. Both gene identifier and gene sequence were catalogued in an Excel database for all genes in the genome of <i>S. cerevisiae </i>S288C. Overall, the presented gene database should provide ease of access to gene information of <i>S. cerevisiae</i> S288C; thereby, serving as a useful tool in molecular cloning and genome editing studies aiming to understand fundamental cellular processes and biotechnological potential of this important eukaryotic model organism.<br><br>
DOI: 10.6084/m9.figshare.12330740.v2
title: Brightfield, fluorescence and phase WSI

description: This dataset includes the MATLAB Demo code of automatic distortion correction and 3D design files for building up the reported WSI system.
DOI: 10.6084/m9.figshare.15029157.v2
title: OTU Table

description: OTU table depicting results of metabarcoding arthropod communities from Malaise traps samples. B = ethanol-based DNA metabarcoding samples<br>
DOI: 10.6084/m9.figshare.15130512.v1
title: ADEON AZFP Community Structure Dataset

description: One of the ADEON Ecological Modeling objectives was to describe how changes in abundance and distribution of the forage assemblage varies relative to warm and/or poor and cool and/or good productivity years off the US east coast. ADEON achieved long-term measurements of the presence of non-vocalizing marine life to record the abundance and community structure of fish and zooplankton. Single beam scientific echosounders were part of the network design at three sites; VAC, HAT, and JAX see https://adeon.unh.edu/landers .Species-specific community assemblage metrics were obtained, in part, from the acoustic zooplankton fish profilers (AZFPs) stationed at those sites. The multi-frequency echosounders were used to measure the presence of animals of different size classes. The echosounder transducers were positioned on the seabed looking upwards to image the full water column where the frequency attenuation permitted.Information from station net tows informed the 6 scattering categories (Non-Resonant Small, Non-Resonant Medium, Non-Resonant Large, Resonant Small, Resonant Large, and Unidentified. Echoview software was used to export Sv and NASC for each scattering group in hourly resolution to provide a measure of community structure for the ecological modeling effort.Please see the ADEON AZFP Community Structure Readme File_2021 stored with this dataset for more details on methodology and the dataset.
DOI: 10.6084/m9.figshare.24213183.v1
title: Emoji Tree of Life: dataset, analyses, plots

description: Here you will find the dataset and the R script used to run analyses for the manuscript "Emoji Tree of Life".<br>"Emoji analyses and plots.R": Script used to run the analyses presented in the manuscript and to prepare the figures present in the manuscript.<br>"Supplementary Dataset.xlsx": Tables used as a base to perform the analyses presented in the manuscript, including emoji name, associated specie, and year of addition to Emojipedia.<br>"emoji_tree.nwk: The Emoji Tree of Life of animals in nwk format.<br>"species_2015_2022.txt": List of animal species available as emojis at different time steps
DOI: 10.6084/m9.figshare.9905138.v1
title: Analysis of Within-host Evolution of Plasmodium falciparum during treatment with Artemisinin Combination Therapies

description: The supporting information for the study titled "Analysis of withi-host Evolution of Plasmodium falciparum during treatment with Artemisinin Combination Therapies"<br>
DOI: 10.6084/m9.figshare.13296122.v3
title: Supplementary data Common chaffinch genome assembly

description: <br>Supplementary data from Chromosome-level genome assembly of the common chaffinch (Aves:<i>Fringilla coelebs</i>): a valuable resource for evolutionary biology.<br>We include the common chaffinch (<i>Fringilla coelebs</i>) genome assembly, as well as the supplementary methods, figures, tables and files described in the article.<br>Supplementary Materials<b> </b><br><b>Supplementary Methods:</b>-Sequencing and genome assembly pipeline.-Assembly quality control.-Gene annotation and function prediction.-Non-coding RNA prediction and identification.<b>TableS1. </b>Assembly quality statistics<br> <b>TableS2. </b>Classification of repeats of the common chaffinch assembly.<b></b> <b>Figure S1. </b>Screen for possible contamination using BlobTools.<b></b><b>Figure S2. </b>Distribution of microsatellites motif lengths.<br><b>Figure S3. M</b>icrosatellite count and sequence length correlation.<br> <br><b>Supplementary Files:</b><br> <b>File S1.</b> Microsatellites: -Microsatellites and their genomic position.<br><b></b> -Length distribution of microsatellites. -Frequency of occurrence of microsatellites on every scaffold. <b>File S2.</b> Genome annotation in general feature format. <b>File S3.</b> Information table about predicted genes with SwissProt, the Zebra finch genome, InterPro and GO terms. <b>File S4.</b> Predicted output of tRNA-SE scan. <b>File S5.</b> Sequence and structure of tRNAs. <b>File S6.</b> Predicted ncRNA types.<br>Protein fasta fileCds fasta file<br>
DOI: 10.6084/m9.figshare.13560359.v1
title: Unique younger phreatic uranium mineralisation hosted by Neogene sediments from Taunsa area, Dera Ghazi Khan, eastern Sulaiman Range, Pakistan: New exploratory targets in deformed geological setting

description: The Taunsa uranium mineralisation is hosted by the upper Miocene–Pliocene Litra Formation belonging to molasse sediments of the Siwalik Group deposited in the Himalayan foreland basin of the eastern Sulaiman Range, Dera Ghazi Khan, Pakistan. The Litra Formation is the only rock unit hosting economic grade uranium occurrences in the stratigraphic record of Pakistan. Surface radioactivity is mainly associated with cemented layers of the host sandstone, known as hard-bands, whereas weakly cemented sandstone is unradioactive. The outcropping sandstone is dominantly whitish grey due to bleaching which is probably related to hydrocarbon migration from the underlying marine black shales. This sandstone-type uranium mineralisation is mainly phreatic due to its parallelism with water table, whereas the concordantly oriented tabular (roll-type) ore is subordinate. The host sandstone layers have high dips ranging from 70 to 85°E indicating a deformed geological setting which makes the Taunsa uranium ore unique. Uranium is trapped mostly by scant organic matter, probably related to petroleum, and also by Fe-Ti oxide phases, phyllosilicates (chlorite and biotite), graphitic schist and black shale clasts in the host sandstone. Uranium ore minerals are mainly coffinite, pitchblende and probably brannerite. Uranium in the ore phases is accompanied by the high contents of Ca, Fe, Ti, Si and Al. Radiometric disequilibrium in the phreatic ore is strongly positive, whereas that in the tabular (roll-front) is moderately positive, which in turn suggests a younger age of the former than that of the latter. The coexistence of the two ore-types, characterised by different intensities of radiometric disequilibrium occurring in the same uranium deposit, suggests that phreatic uranium ore has possibly resulted from the remobilisation of the tectonically uplifted tabular (roll-type) ore and its reprecipitation at the horizontally oriented redox interface following the water table in the host sandstone aquifers.