cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.23884284.v1
title: spatial interaction completion

description: This folder contains a total of three files. it can be used for spatial interaction and the completion of taxi OD flowThe folder "Beijing Fifth Ring Functional Area Data," including Beijing Fifth Ring Functional Area Data.shpThe folder "Taxi OD data" includes Taxi OD data for 10 working days. including the boarding and alighting points.The folder "OD data with functionality" includes taxi OD data after preliminary preprocessing, which matches the properties of the functional area.The meanings of the fields inside are as follows:car_id is taxi_ID; time is recorded time; Lon is the longitude of point; Lat is the latitude of point;Matching represents the corresponding matching, and the same Matching value represents a pair of OD, distinguishing point O and point D through time.The UUID is the matched functional area that represents the actual location of the OD point, which can be later matched with the Beijing Fifth Ring Functional Area.<br>
DOI: 10.6084/m9.figshare.28502411.v1
title: Data from the article "FACTORS ASSOCIATED WITH HOSPITALIZATION OF CHIKUNGUNYA PATIENTS IN BRAZIL DURING YEARS 2017 TO 2023"

description: Objective: To characterize the factors associated with the hospitalization of patients with chikungunya from 2017 to 2023 in Brazil. Methods: Retrospective case series using CHIKV records with suspected case criteria and positive laboratory tests according to the Ministry of Health guidelines. A 95% confidence interval (CI) was considered for all statistical tests. Results: Factors associated with hospitalization included: pregnancy (OR 2.946, CI 2.687–3.229, p &lt;0.001); fever (OR 1.072, CI 1.015–1.131, p = 0.012); maculopapular rash (OR 1.165, CI 1.124–1.208, p &lt;0.001); emesis (OR 1.686, CI 1.621–1.754, p &lt;0.001); nausea (OR 1.052, CI 1.011–1.094, p &lt;0.001); conjunctivitis (OR 1.186, CI 1.111–1.266, p &lt;0.001); petechiae (OR 1.223, CI 1.162–1.287, p &lt;0.001); leukopenia (OR 3.706, CI 3.471–3.955, p &lt;0.001); chronic kidney disease (OR 1.983, 95% CI 1.682–2.337, p &lt;0.001); arterial hypertension (OR 1.524, 95% CI 1.442–1.609, p &lt;0.001); diabetes mellitus (OR 1.482, 95% CI 1.380–1.592, p &lt;0.001); autoimmune disease (OR 1.553, 95% CI 1.311–1.839, p &lt;0.001). Conclusion: The analyzed data indicate that the clinical profile described should be used to adopt preventive measures to reduce hospitalizations.
DOI: 10.6084/m9.figshare.29203637.v1
title: QM9 with PubChem Annotations as in 'Understanding the Capabilities of Molecular Graph Neural Networks in Materials Science Through Multimodal Learning and Physical Context Encoding'

description: Dataset for 'Understanding the Capabilities of Molecular Graph Neural Networks in Materials Science Through Multimodal Learning and Physical Context Encoding' by Can Polat, Hasan Kurban, Erchin Serpedin, and Mustafa Kurban.https://arxiv.org/abs/2505.12137<br><br>
DOI: 10.6084/m9.figshare.6071729.v1
title: Natural Language Questions on Math and String Manipulation

description: This dataset contains 120 natural language questions on math operations and string manipulation.<br>The dataset is available in the tsv format: the first column contains natural language commands and questions, while the second column lists the expected answers.<br>We can classify each question in the dataset by the number of methods required to provide the correct answer. We obtain that the dataset contains:* 16 questions requiring the invocation of 1 method;* 63 questions requiring the invocation of 2 methods;* 36 questions requiring the invocation of 3 methods;* 5 questions requiring the invocation of 4 methods.<br>Hence, the majority of the questions involves the invocation of 2 methods and, on average, 2.25 methods per question are required.
DOI: 10.6084/m9.figshare.99965.v1
title: Sino-Hmong-Mien-Tai profile trees

description: The data consists in genome-wide SNPs that were obtained from 5 different sources, keeping the SNPs common to all 5 sources. The combined dataset consisted in 3146 autosomal SNPs for 4025 individuals from 167 populations. It was analyzed using FRAPPE, with default settings, and for K ranging from 2 to 16. For each value of K, the resulting ancestry profiles were averaged within each population, and a chi-squared distance between the average ancestry profiles were used to compute a distance tree using FastME. These trees were computed using the Sino-Tibetan, Hmong-Mien and Tai-Kadai populations of the sample. The colour of a leaf is chosen according to the linguistic family of the corresponding population.
DOI: 10.6084/m9.figshare.7675985.v1
title: The cell-cycle transcriptional network generates and transmits a pulse of transcription once each cell cycle

description: Multiple studies have suggested the critical roles of cyclin-dependent kinases (CDKs) as well as a transcription factor (TF) network in generating the robust cell-cycle transcriptional program. However, the precise mechanisms by which these components function together in the gene regulatory network remain unclear. Here we show that the TF network can generate and transmit a “pulse” of transcription independently of CDK oscillations. The premature firing of the transcriptional pulse is prevented by early G1 inhibitors, including transcriptional corepressors and the E3 ubiquitin ligase complex APC<sup>Cdh1</sup>. We demonstrate that G1 cyclin-CDKs facilitate the activation and accumulation of TF proteins in S/G2/M phases through inhibiting G1 transcriptional corepressors (Whi5 and Stb1) and APC<sup>Cdh1</sup>, thereby promoting the initiation and propagation of the pulse by the TF network. These findings suggest a unique oscillatory mechanism in which global phase-specific transcription emerges from a pulse-generating network that fires once-and-only-once at the start of the cycle.
DOI: 10.17632/3wgj86mph4
title: HOW DOES GREEN TRANSFORMATIONAL LEADERSHIP DRIVE EMPLOYEE ENVIRONMENTAL PERFORMANCE? THE ROLE OF INTERNAL ENVIRONMENTAL ORIENTATION AND GREEN REWARDS AND INCENTIVES

description: HOW DOES GREEN TRANSFORMATIONAL LEADERSHIP DRIVE EMPLOYEE ENVIRONMENTAL PERFORMANCE? THE ROLE OF INTERNAL ENVIRONMENTAL ORIENTATION AND GREEN REWARDS AND INCENTIVES
DOI: 10.17632/dfp5rgnzz9
title: Data for: Source-to-Sink Analysis in an Eocene rifted lacustrine basin margin of Western Shaleitian Uplift area, Offshore Bohai Bay Basin, Eastern China

description: Paper 1: We analysed the characteristics of the provenance and sediment-dispersal patterns of the beach and bar systems in the Palaeogene third-order sequence framework on the basis of detritus, thin section, zircon and the geophysical response test data. In the 3D seismic area, the features of the beach and bar sedimentary systems were described and interpreted based an analysis of the well-based sedimentary facies, seismic reflection characteristics and multiple attribute clustering. The results show that the beach and bar systems by the short-axis braided deltas mainly developed in the upper member of E2w and that the beach and bar systems on the subaqueous high in E3e developed during the Palaeogene. Paper 2: Using lithology, wire-line logs and three-dimensional (3-D) seismic data in the southern slope of Zhanhua Sag, we demonstrated the utility of stratal slice images for analyzing facies architecture and sediment-dispersal characters of complex depositional systems in Es3. On the basis of an integrated analysis of well log, core data, seismic facies based on multi-seismic attributes, three depositional environments (e.g., “fan-delta”, “shallow lacustrine” and “turbidite” facies) have been recognized. Stratal slices indicate that the depositional environments of these sequences evolved from gravel- or sand-rich fan delta and turbidite to lacustrine mud, and lastly to mixed sand-mud fan delta systems. The results of high resolution 3-D depositional systems analysis showed that the third-order sequence located in different systems tracts of the para-second-order sequence would contribute to their systems tracts with the different types and scales of depositional systems. Paper 3: Seismic stratal slices reveal different characteristics of channels and fan-delta lobes between the south (slope break belt) and southwest (gentle slope) areas combined with lithology, wire-line logs and three-dimensional (3-D) seismic data in the southern slope of Zhanhua Sag. And an excellent analogue has been provided for understanding various key depositional evolution of fan-deltas in the slope system (from base to top: Es3 L, Es3 M and Es3 U).
DOI: 10.6084/m9.figshare.5765559.v4
title: Electromechanical stimulation advances maturation of human cardiac tissues grown from pluripotent stem cells

description: Data used to generate the figures in the manuscript Electromechanical stimulation advances maturation of human cardiac tissues grown from pluripotent stem cells.
DOI: 10.17632/jbcv5d97mh
title: Data for: Phase Rule Classification of Physical and Chemical Critical Effects in Liquid Mixtures
DOI: 10.6084/m9.figshare.13686340.v1
title: Supplementary material for the article: Modeling of mushrooms (Agaricus bisporus) osmotic dehydration process in sugar beet molasses, Food and Feed Research, 2020, https://doi.org/10.5937/ffr47-28436

description: Mushrooms (Agaricus bisphorus) were osmotically dehydrated in sugar beet molasses solutions at concentrations of 60%, 70% and 80%d.m., at operating temperatures of 25 °C, 35 °C and 45 °C during 0.5h, 1h, 1.5h, 2h, 3h, and 5 hours. Moisture content, water activity (aw), microbiological parameters (total plate counts, Enterobacteriaceae, total yeasts and moulds count) and content of mineral elements (potassium, magnesium, iron and calcium) were determined in the osmodehydrated mushroom samples. Response surface methodology and analysis of variance were selected to estimate the main effects of the process variables (temperature, time, concentration) on process performance and selected mushroom attributes (microbiological counts, chemical composition and mineral content). Increase in the values of applied osmotic process parameters led to the significant increase in the content of minerals (for example, an increase in K and Ca content by 269.42% and 939.03%, respectively) and a decrease in aw values (from 0.941 to 0.811), decrease in microbiological load and relative protein content (decrease by 33.07%), indicating a possibility for prolonged shelf life and suitability for further processing. The osmodehydrated mushrooms could be considered as ingredients for new functional (semi)products due to improved nutritive profile.
DOI: 10.6084/m9.figshare.9598406.v2
title: Main dataset from Steinmetz et al. 2019

description: <b>Main dataset from Steinmetz et al. 2019. </b><br><i>Companion code located at </i>https://github.com/nsteinme/steinmetz-et-al-2019<i>.</i><i><br></i><i>Raw behavioral movies located here: </i>https://doi.org/10.6084/m9.figshare.9702302<i><br></i><i>Raw local field potential data located here: </i>https://doi.org/10.6084/m9.figshare.9727895<br><i>Data also accessible via Open Neurophysiology Environment (</i>https://figshare.com/articles/steinmetz/9974357<i>) and in Neurodata Without Borders format (</i>https://doi.org/10.6084/m9.figshare.11274968<i>). </i><br>This dataset contains both spiking and behavioral data. <br>Spiking data is provided after spike sorting.<br>Behavioral data includes wheel movements, pupil area and position, stimulus information, choice information. <br>Detailed information about the files provided can be found here: https://github.com/nsteinme/steinmetz-et-al-2019/wiki/data-files<br>When extracting the zip file provided here, you will get "allData.tar", then extract that tar file to get individual .tar files for each recording, and then extract each of these. It is convenient to do this last step using WinRAR in Windows by selecting all, right-clicking on one of them, and choosing "extract each to separate folder". <br><br>
DOI: 10.6084/m9.figshare.1096255.v2
title: Random Test Data

description: This is a test
DOI: 10.17632/y3pxvr4xbf
title: snRNA-seq data on human subcutaneous and omental white adipose tissue

description: The deposited data is presented in the manuscript by Massier et al., with the title "The Cellular Landscape of Human White Adipose Tissue in Health and Metabolic Disease: a Meta Perspective".

10x snRNA-seq data in the format of CellRanger output can be found for each individual section analysed (Massier et al. #1-4), which contains filtered count matrices.
Source data of our article can be found in Source_Data_complete.
DOI: 10.6084/m9.figshare.12357449.v1
title: Simultaneous measurements of soil and ecosystem respiration in a mature Eucalypt woodland: advantages, lessons, and questions

description: Dataset and script for the manuscript "Simultaneous measurements of soil and ecosystem respiration in a mature Eucalypt woodland: advantages, lessons, and questions"
DOI: 10.6084/m9.figshare.28636127.v1
title: Tm-edited DEER echo curves and Python fitting scripts for the paper entitled: "Measurement of an electron–methyl proton probability distance distribution in a protein using <i>T</i><sub>m</sub>-edited double electron-electron resonance EPR spectroscopy"

description: This deposition contains the full Tm-edited DEER dataset together with Python scripts for global fitting and analysis.Abstract of the paper: Pulsed double electron-electron resonance (DEER) EPR spectroscopy yields electron-electron distance probability distributions, P(ree), between the unpaired electrons of two paramagnetic spin labels. Here we show that phase memory time (Tm)-edited DEER can be used to measure electron-proton distance distributions in a methyl protonated, otherwise fully deuterated, protein spin-labeled with the rigid R1p nitroxide sidechain. This approach takes advantage of distance dependent nuclear spin-driven electron spin decoherence arising from intramolecular dipolar couplings between the unpaired electron on the spin label and neighboring (&lt; 12 Å) methyl protons. Proof of principle is demonstrated using Staphylococus protein A in which one of the two nitroxide spin labels occupies two distinct regions of conformational space resulting in a bimodal electron-electron P(ree) distribution. One of the conformers is packed against the protein in close proximity to methyl protons while the other conformer is solvent exposed and far away (&gt; 14 Å) from methyl protons. The dependence of the ratio of the intensities of the two peaks in the P(ree) distribution on the total evolution time T of the second echo period of the DEER experiment displays oscillations arising from dipolar electron-methyl proton couplings that can be described and analyzed using the same formalism as that used for determining electron-electron P(ree) distributions from DEER echo curves. Global fitting of a series of DEER echo curves acquired over a range of evolution times T allows one to extract an electron-methyl proton probability distance distribution, P(reH).
DOI: 10.6084/m9.figshare.5231053.v2
title: MAMEM Phase I Dataset - A dataset for multimodal human-computer interaction using biosignals and eye tracking information

description: This dataset combines multimodal biosignals and eye tracking information gathered under a human-computer interaction framework. The dataset was developed in the vein of the MAMEM project that aims to endow people with motor disabilities with the ability to edit and author multimedia content through mental commands and gaze activity. The dataset includes EEG, eye-tracking, and physiological (GSR and Heart rate) signals along with demographic, clinical and behavioral data collected from 36 individuals (18 able-bodied and 18 motor-impaired). Data were collected during the interaction with specifically designed interface for web browsing and multimedia content manipulation and during imaginary movement tasks. Alongside these data we also include evaluation reports both from the subjects and the experimenters as far as the experimental procedure and collected dataset are concerned. We believe that the presented dataset will contribute towards the development and evaluation of modern human-computer interaction systems that would foster the integration of people with severe motor impairments back into society.<br>Please use the following citation: Nikolopoulos, Spiros, Georgiadis, Kostas, Kalaganis, Fotis, Liaros, Georgios, Lazarou, Ioulietta, Adam, Katerina, Papazoglou – Chalikias, Anastasios, Chatzilari, Elisavet , Oikonomou, Vangelis P., Petrantonakis, Panagiotis C., Kompatsiaris, Ioannis, Kumar, Chandan, Menges, Raphael, Staab, Steffen, Müller, Daniel, Sengupta, Korok, Bostantjopoulou, Sevasti, Zoe, Katsarou , Zeilig, Gabi, Plotnik, Meir, Gottlieb, Amihai, Fountoukidou, Sofia, Ham, Jaap, Athanasiou, Dimitrios, Mariakaki, Agnes, Comanducci, Dario, Sabatini, Edoardo, Nistico, Walter & Plank, Markus. (2017). The MAMEM Project - A dataset for multimodal human-computer interaction using biosignals and eye tracking information. Zenodo. http://doi.org/10.5281/zenodo.834154<br>Read/analyze using the following software:https://github.com/MAMEM/eeg-processing-toolbox<br><br>
DOI: 10.6084/m9.figshare.7205174.v1
title: Table S2.xlsx

description: <b>Table S2. Correlation between LAMB3 expression and methylation in thyroid cancer cell lines.</b>
DOI: 10.17632/495z7s99zs
title: Proteomics and phosphoproteomics datasets of a muscle-specific STIM1 loss-of-function mouse model.

description: STIM1 is an ER/SR transmembrane protein that interacts with ORAI1 to activate store operated Ca2+ entry (SOCE) upon ER/SR depletion of calcium. Normally highly expressed in skeletal muscle, STIM1 deficiency causes significant changes to mitochondrial ultrastructure that do not occur with loss of ORAI1 or other components of SOCE. The datasets in this article are from large-scale proteomics and phosphoproteomics experiments in an inducible mouse model of skeletal muscle-specific STIM1 knock out (KO). These data reveal statistically significant changes in the relative abundance of specific proteins and sites of protein phosphorylation in STIM1 KO gastrocnemius. Protein samples from five biological replicates of each condition (+/- STIM1) were enzymatically digested, the resulting peptides labeled with tandem mass tag (TMT) reagents, mixed, and fractionated.  Phosphopeptides were enriched and a small amount of each input retained for protein abundance analysis. All phosphopeptide and input fractions were analyzed by nano LC-MS/MS on a Q Exactive Plus Orbitrap mass spectrometer, searched with Proteome Discoverer software, and processed with in-house R-scripts for data normalization and statistical analysis.
DOI: 10.17632/kr8ttxsbb8
title: LSpineSMRI: A Comprehensive Dataset of Non-Contrast Lumbar Spine Stenosis MRI Examinations

description: Central lumbar spinal stenosis (LSS) is a prevalent degenerative condition primarily affecting older adults, characterized by the narrowing of the lumbar spinal canal due to changes in intervertebral discs, ligamentum flavum, and facet joints. It is a leading cause of spine surgery in the elderly, leading to significant healthcare costs, especially when it results in severe pain and disability. LSS commonly presents as neurogenic claudication, with symptoms like lower back pain, leg discomfort, and tingling, which can severely impair mobility and quality of life. Diagnosing LSS requires a thorough evaluation of clinical symptoms and imaging findings, with magnetic resonance imaging (MRI) being the gold standard for visualizing soft tissues and nerve compression.

This dataset includes imaging data and reports from consecutive non-contrast lumbar spine MRI examinations conducted between 2017 and 2023. It features a diverse patient population from inpatient, outpatient, and emergency services. Inclusion criteria required complete axial and sagittal T2-weighted sequences, all obtained using a 1.5 Tesla MRI scanner for consistent image quality.

Exclusion criteria eliminated cases with severe spinal conditions such as trauma, infections, inflammation, tumors, and post-surgical complications that typically require gadolinium contrast. Patients with anatomical variations, fractures, extensive surgical hardware, or widespread metastatic disease were also excluded. MRIs lacking T2-weighted axial sequences or with poor quality were omitted to ensure dataset reliability. Ultimately, 640 patients (234 males and 406 females) met the criteria, with a mean age of 57.58 ± 12.47 years (range: 21 to 87). A total of 17,440 MRI slices were collected and categorized into cervical/thoracic, lumbar, and sacral regions, with lumbar slices subsequently graded. This dataset received approval from the Iran University of Medical Sciences Ethics Committee.

Qualitative grading was performed by a board-certified neurosurgeon with over 20 years of experience. The grading system is as follows: Grade A indicates no or minimal stenosis with visible cerebrospinal fluid (CSF); Grade B denotes moderate stenosis, where rootlets occupy the dural sac but remain distinguishable; Grade C signifies severe stenosis, with a homogeneous gray signal in the dural sac and no recognizable rootlets or visible CSF, although posterior epidural fat is present; and Grade D reflects extreme stenosis, with neither rootlets nor posterior epidural fat visible. In this version, Grades B and C have been merged. Annotations were performed using LabelStudio, a versatile tool for various data types, including images and text. This dataset serves as a valuable resource for understanding lumbar spinal stenosis and has potential applications in developing deep learning-based computer-aided diagnosis (CAD) systems, enhancing medical imaging and diagnostic accuracy.
DOI: 10.6084/m9.figshare.3530732.v1
title: Appendix B. Error ellipses for VHF data.

description: Error ellipses for VHF data.