cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.1594/pangaea.886292
title: Glacier mass balance Venedigerkees, Hohe Tauern, Austria, 2014/2015

description: This corrected version was uploaded on 2018-02-15. In the past three periods, 2014/2015, 2015/2016 and 2016/2017, in the extrapolation of mass balance to total glacier area, zones with b=0 mm w.e. have been defined. In the current analysis, these areas have been changed to ablation zones with the lowest possible ablation of -25 mm w.e., to maintain the records consistency. Therefore, small changes have been applied to the mass balance data of the three years 2014/2015, 2015/2016 and 2016/2017 so that older versions of the time series and reports can slightly deviate.Changes affect the altitude levels 2925 to 2975 for the period 2014/2015, 2975 to 3175 for the period 2015/2016 and 2875 to 2975 for 2016/17.
DOI: 10.1594/pangaea.914368
title: Vertical profile of temperature and salinity during cruise OCEANUS202
DOI: 10.1594/pangaea.886294
title: Elevation zones Venedigerkees, Hohe Tauern, Austria, 2014/2015

description: This corrected version was uploaded on 2018-02-15. In the past three periods, 2014/2015, 2015/2016 and 2016/2017, in the extrapolation of mass balance to total glacier area, zones with b=0 mm w.e. have been defined. In the current analysis, these areas have been changed to ablation zones with the lowest possible ablation of -25 mm w.e., to maintain the records consistency. Therefore, small changes have been applied to the mass balance data of the three years 2014/2015, 2015/2016 and 2016/2017 so that older versions of the time series and reports can slightly deviate.Changes affect the altitude levels 2925 to 2975 for the period 2014/2015, 2975 to 3175 for the period 2015/2016 and 2875 to 2975 for 2016/17.
DOI: 10.1594/pangaea.914370
title: Collection of historical vertical profiles of temperature and salinity (1978-2007) from the former Center of Oceanography of the Faculty of Sciences of the University of Lisbon (now MARE-FCUL) in original csv format

description: This dataset is constituted by historical vertical profiles of temperature and salinity from the former Centro de Oceanografia da Faculdade de Ciências da Universidade de Lisboa (CO-FCUL, now MARE-FCUL). The profiles were gathered during 42 campaigns (1978-2007) conducted by CO-FCUL or international institutions where CO-FCUL researchers were participants. The dataset was constructed, and used, for the work of Valente et al. (2019).
DOI: 10.1594/pangaea.943729
title: Geochemical proxies of sediment core RS14_GC2
DOI: 10.1594/pangaea.943737
title: Geochemical proxies of sediment core RS14_GC3
DOI: 10.1594/pangaea.943778
title: Sediment properties of sediment core RS14_GC1
DOI: 10.1594/pangaea.943780
title: Sediment properties of sediment core RS14_GC2
DOI: 10.1594/pangaea.943781
title: Sediment properties of sediment core RS14_GC3
DOI: 10.1594/pangaea.955330
title: Vertical profile of temperature and salinity during cruise CORPAC87 (Version 2, 2023)
DOI: 10.1594/pangaea.963350
title: Vertical profile of temperature and salinity during cruise OCASO281 (Version 2, 2023)
DOI: 10.5066/p902gg1m
title: Tiltmeter data from Kīlauea’s East Rift Zone station JKA from August 1 to September 15, 2014

description: Tiltmeter data from station Jonika Flow (JKA) used in the publication "Pre-existing ground cracks as lava flow pathways at Kīlauea in 2014" by Tim R. Orr, Edward W. Llewellin, Kyle R. Anderson, and Matthew R. Patrick. These data were collected in 2014 by Asta Miklius of the USGS Hawaiian Volcano Observatory.
DOI: 10.34740/kaggle/dsv/7829162
title: WallStreetBets 2022
DOI: 10.25919/ebzb-s968
title: Social and Economic Long Term Monitoring Program (SELTMP) for the Great Barrier Reef data, 2023

description: SELTMP is assisting Reef managers and other decision-makers within the Great Barrier Reef region to incorporate the human dimension into their planning and management. Analogous to the Australian Census, SELTMP gathers long-term data specific to Reef users, communities and industries, enabling new insights into relationships, vulnerabilities and dependencies between people and the natural resources.
DOI: 10.25573/serc.19087895.v1
title: Dataset: SERCTowerLAIleafmass1987-2021

description: Annual leaf deposition and Leaf Area Index by major species groups for the
period 1987-2021 for the deciduous forest around the meteorological tower at the
Smithsonian Environmental Research Center (SERC)
DOI: 10.21227/rzc7-ma61
title: Respiration and Exhaled Hydration Dataset Based on Data Augmentation

description: Healthcare 4.0 introduces the groundbreaking notion of the "Digital Twin (DT)," utilizing a digital model to encompass an individual's biological traits. This technology allows for the development of tailored treatment approaches, supports timely interventions, monitors respiratory issues, and offers decision-making assistance to healthcare professionals, ultimately advancing healthcare capabilities.
Comprehensive patient data is necessary for accurate monitoring and decision support in large-scale Digital Twin (DT) technology implementations, particularly when ML and DL are used. Due to limited respiration and exhaled hydration data, novel statistical time series and frequency domain data augmentation methods are utilized to generate a larger synthetic respiration dataset. A Wi-Fi sensor with CSI characteristics, named ESP32, is employed for collecting respiration data as time series data, while a Stepped Monopole RF sensor operating from 0.5GHz to 5GHz is used for collecting breathing-exhaled hydration data in Decibels (dB). For both datasets, subjects' 12BPM, 20BPM, and 28BPM are considered in this multi-sensor data collection experiment.
Through statistical time domain and frequency domain methods, a total of 15 larger synthetic datasets are generated. Using a larger respiration and exhaled hydration dataset, signal processing methods are employed to provide noise reduction and accurately determine the subject's BPM from the raw respiration data. However, the exhaled hydration data from the experiment does not require any preprocessing or noise reduction. As a result, a larger pre-processed dataset is used for BPM and exhaled hydration classification, providing healthcare practitioners with decision support using Deep Learning (DL) and Machine Learning (ML).
DOI: 10.5519/qd.nnzxa974
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (101 records)
DOI: 10.22002/4b0jt-97c92
title: Supplementary Tables: D-SPIN constructs gene regulatory network models from multiplexed scRNA-seq data revealing organizing principles of cellular perturbation response

description: Gene regulatory networks within cells modulate the expression of the genome in response to signals and changing environmental conditions. Reconstructions of gene regulatory networks can reveal the information processing and control principles used by cells to maintain homeostasis and execute cell-state transitions. Here, we introduce a computational framework, D-SPIN, that generates quantitative models of gene regulatory networks from single-cell mRNA-seq data sets collected across thousands of distinct perturbation conditions. D-SPIN models the cell as a collection of interacting gene-expression programs, and constructs a probabilistic model to infer regulatory interactions between gene-expression programs and external perturbations. Using large Perturb-seq and drug-response datasets, we demonstrate that D-SPIN models reveal the organization of cellular pathways, sub-functions of macromolecular complexes, and the logic of cellular regulation of transcription, translation, metabolism, and protein degradation in response to gene knockdown perturbations. D-SPIN can also be applied to dissect drug response mechanisms in heterogeneous cell populations, elucidating how combinations of immunomodulatory drugs can induce novel cell states through additive recruitment of gene expression programs. D-SPIN provides a computational framework for constructing interpretable models of gene-regulatory networks to reveal principles of cellular information processing and physiological control.
DOI: 10.21227/595s-tq23
title: AncientLanguageTranslation.heb-eng

description: An AI-based Ancient Hebrew Language Translator aims to revive Ancient Hebrew by constructing a comprehensive dataset with contemporary and ancient Hebrew samples. Seamless integration of the Google Vision API facilitates Optical Character Recognition (OCR) for image processing. The translation process initiates in English through the model, leading to a multilingual interface. This initiative represents a crucial step in preserving ancient languages in the digital age. The project incorporates Biblical and Paleo Hebrew dictionaries for linguistic accuracy and utilizes LSTM and Transformer (NLP) model architectures. The chosen Transformer model achieves a Bleu score of 14.8 on a complex dataset, securing the second position in translation analysis with different model NLP test sets. The translation initiative represents a crucial step in preserving ancient languages in the digital age.
DOI: 10.34740/kaggle/dsv/7829762
title: Layline Shareholder activism dataset
DOI: 10.5519/qd.4rfo7a5e
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (16 records)
DOI: 10.5519/qd.dwhic1iw
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (34378 records)
DOI: 10.25919/p4n4-ks06
title: Seaborne metadata database

description: The SEABORNE (Sustainable UsE And Benefits fOR mariNE) has consolidated and synthesised existing information about who is using the Reef, how it is being used and what the benefits are from this use. SEABORNE began in November 2021, and initially, we were provided with a list of potential datasets relevant to our project in a spreadsheet. To this, we continued to search various data portals online and find additional datasets relevant to our project, particularly focusing on the Great Barrier Reef. We recorded these initially in an Excel spreadsheet. We then transferred this to an MS Access database and developed a more user-friendly entry form. Within the MS Access database, there is one table that stores all the metadata records entered. And another table that stores the static preview images. There are 58 fields (which have been described in a data dictionary) – some of these are mandatory. At the moment there are 3 metadata records entered and we expect this to grow to 50-100 records by the completion of the project.
DOI: 10.21227/7xe3-7865
title: Peruvian e-commerce product-matching

description: The rise of e-commerce in Latin America has been driven by the digital presence of the younger generations and the adaptation of retail businesses to online sales channels. The COVID-19 pandemic has further accelerated this shift, forcing businesses to enhance their online commerce strategies. Peru has witnessed a notable 131\% increase in online shoppers from 2019 to 2021. However, the absence of a unique global code for product identification negatively affects the Zero Moment of Truth (ZMOT) in customer decision-making. To address this, a novel approach is proposed that uses machine learning based classification models along with natural language processing and image analysis techniques is proposed. This implementation aims to facilitate product matching across online retail stores in Peru, allowing companies to gain insight into their competitors, regulate prices, and improve the shopping experience for both consumers and retailers. Reaching a 92.7\% of accuracy and 93.6\% of F1 score with hyperparameter optimization, laying the foundation for further investigation of product matching in the Peruvian online retail sector.
DOI: 10.26183/n9vq-5r55
title: Brain health heroes dataset

description: This research project investigates the acceptability and perceptions of brain health programs among parents, particularly those with preschool-aged children. The study comprises three main components: a survey detailing parental attitudes towards brain health initiatives, interviews conducted with parents to highlight their perspectives on such programs and their understanding of brain health, and collaborative workshops involving parents and educators to explore the efficacy of performance arts-based interventions in supporting brain health. The resultant dataset encompasses responses from diverse parental demographics, offering insights into the feasibility and desirability of implementing brain health initiatives within educational settings. Researchers, educators and practitioners interested in enhancing children's cognitive development and well-being through new programs will find this dataset a good resource for informing evidence-based interventions and policies.</p>
This dataset contains sensitive information where the participants can be identified and is therefore not suitable for open publication. 
</p>To discuss this data, please contact Joy Siette joyce.siette@westernsydney.edu.au ORCID 0000-0001-9568-5847.
DOI: 10.26036/cnp0003729
title: stLFR sequencing data for 10K Chickpea Graph Pangenome Project

description: The 10225 chickpea samples studied in the project are widely representative, and their resequencing research can deepen the understanding of chickpea population genetics, and can also be used to study functional genes related to important agronomic traits such as drought resistance, nitrogen fixation and yield. This project involves the stLFR sequencing data of 35 chickpeas, which is used for assembling 35 genomes and constructing a chickpea pan-genome.
DOI: 10.26036/cnp0005299
title: Single-nucleus chromatin accessibility landscape across distinct adult rat organs

description: Single-nucleus chromatin accessibility landscape across distinct adult rat organs
DOI: 10.34740/kaggle/dsv/7829572
title: INDIAN SIGN LANGUAGE DATASET
DOI: 10.25345/c5hh6ch4t
title: MassIVE MSV000094301 - Barbatia virescens proteins_bcbp-1 and bcbp-2
title: MSMS data from B. virescense proteins (Bcbp-1, Bcbp-2)
DOI: 10.34740/kaggle/dsv/7820507
title: ViratKholi_Stats
DOI: 10.57967/hf/1876
title: mpii-human-pose-captions
DOI: 10.21227/v7qr-sm72
title: video super-resolution quality assessment database (VSR-QAD)-3

description: VSR-QAD-3Video super-resolution (SR) has important real world applications such as enhancing viewing experiences of legacy low-resolution videos on high resolution display devices. However, there are no visual quality assessment (VQA) models specifically designed for evaluating SR videos while such models are crucially important both for advancing video SR algorithms and for viewing quality assurance. Therefore, we establish a super-resolution video quality assessment database （VSR-QAD） for implementing super-resolution video quality assessment. Our VSR-QAD consists of 120 high quality high resolution reference videos. These videos were first spatially down-scaled by a factor of x2, x4, and x8, and then super-resolved back to their original resolutions by 10 representative SR algorithms to obtain 2,400 SR videos. Psychovisual experiments were carried out to acquire subjective quality labels for these SR videos. 190 subjects spending a total of approximately 400 hours to carry out both absolute rating and relative rating experiments. After aligning these relative and absolute scores and removing outliers, 2,260 SR videos are labeled with mean opinion scores (MOSs).
DOI: 10.25345/c5cr5nq0p
title: MassIVE MSV000094302 - Multi-omics discovery of hallmark protein and lipid features of circulating small extracellular vesicles in humans
title: Extracellular vesicles (EVs) are now being increasingly recognized as an essential signalling entity in human plasma, linking them to health and various diseases. Still, their core protein and lipid componentry, which epicentres EV form and function, remains poorly defined. Achieving this unmet milestone remains greatly hindered by abundant non-vesicular extracellular plasma components (non-EVs) in mass spectrometry-based analyses. Here, we performed high-resolution density gradient fractionation of over 80 human plasma samples to isolate circulating EVs, and systematically construct their quantitative proteome (4500 proteins) and lipidome (829 lipids) landscapes. This led to the discovery of a highly conserved panel of 182 proteins (ADAM10, STEAP23, STX7) and 52 lipids (PS, PIPs, Hex2Cer, PAs), providing a deep survey of hallmark molecular features and biological pathways intrinsic to circulating EVs. Our efforts also mapped the surfaceome diversity, identifying 126 proteins on EV surface. We further establish a set of 42 proteins and 114 lipids features that served as hallmark features of non-EV particles in plasma. We submit ADAM10 and PS(36:1) as conserved EV biological markers that enable precise differentiation between EV and non-EV particles. Our findings, which can be explored via open-source Shiny web tool, will serve as a valuable repository to the research community for a clearer understanding of circulating EV biology.
DOI: 10.4121/17088866.v1
title: Co-creation of a Just-In-Time Adaptive Intervention for healthy dietary changes: focus groups, survey data, beta test

description: In the project 'Measuring, analyzing and mapping environmental influences on (and changes in) spatial patterns: evidence for Just-In-Time Adaptive Interventions' (ZonMw) we collected data on the initial and pre-use acceptance, engagement and usability of Just-In-Time Adaptive Interventions (JITAIs) in the food domain. These results were used in the development of our JITAI 'EetWijzer' targeting healthy dietary changes.<br>This data package consists of different co-creation studies:1) four focus groups in 14 participants of the general population;2) one focus group in 6 participants with low literacy levels;3) a questionnaire study in 137 participants from the general population;4) a beta test with 23 users from the general population. They used the app for two weeks and answered questions at follow-up. <br>1 and 2) Due to Covid-19, focus groups were held online through Microsoft Teams. The focus groups were recorded and transcribed afterwards. The transcripts were analyzed using inductive thematic analysis. The Atlas.ti version 9.0.22 software was used to do the coding. Codes were attached to text segments and grouped afterwards into specific themes that captured the discussed items and were interesting in relation to the research questions. Coding was done by three persons and the attached codes were compared and discussed and adjusted if necessary.<br>3) The questionnaire was administered through Qualtrics.<br>4) The beta test was performed in the city of Wageningen, the Netherlands. Our EetWijzer app is available for Android phones in the google play store. After installing the app, participants created an account and choose a goal that they would like to work on, i.e., healthier snacking, eating less meat, or eating more vegetables and fruit. After creating an account, the app is activated and starts tracking the location of the user using GPS data collected by the smartphone of the participants when they are in the intervention geofence, i.e., the city Wageningen. Once activated, the app sends out a prompt to its user when the person enters a specific radius around a food outlet and when the person stays in this fence over a defined time threshold. It also sends prompts at moments during the day related to the chosen goal, i.e., 11.00h, 15.00h, and 20.00h for the goal healthier snacking and at 12.00h and 17.00h for the goals of eating less meat and more vegetables and fruit. The prompts that were send at the visited locations and at the pre-specified times were based on preferences of end-users as indicated during the focus groups and questionnaire study and consisted of reminders of the chosen goal, suggestions for food to be consumed, and recipes. Based on the chosen goal and on location or time, a related prompt was randomly selected and send from a list of messages in the app. <br>Ethical approval for all studies was obtained from the Social Ethics Committee of the Wageningen University & Research.<br>
DOI: 10.4121/d7c9c167-c04b-4b6b-83cd-3d2da3790736.v1
title: Data underlying the PhD dissertation: Feasibility of Flexible CO2 Conversion Technologies Powered by Renewable Electricity

description: This dataset supports Jisiwei Luo's PhD dissertation. It contains supplementary information that has not been published in the articles related to this dissertation. This dataset includes 1) Aspen Plus simulation sheets and Python scripts used to generate results and 2) Excel files enclosing data underlying all the figures and tables. The compressed folder is composed of folders corresponding to the main chapters of this dissertation, and there is a readme document for each chapter.
DOI: 10.34740/kaggle/dsv/7831418
title: Egypt Gold Prices | Daily Updated
DOI: 10.15151/esrf-es-1472040954
title: The Iberian cryoEM community BAG (II)

description: The Iberian cryoEM BAG is a large consortium (~40 groups) composed of Portuguese and Spanish laboratories working in biologically relevant problems including disease related metabolic enzymes, antibiotic resistance, DNA replication and DNA maintenance, protein synthesis, virus structure and its replication/transcription mechanisms, and macromolecular complexes involved in the control of key cellular processes like protein folding and degradation. For these research groups electron cryomicroscopy is a fundamental tool and access to ESRF facilities is essential to achieve their objectives.
DOI: 10.34740/kaggle/dsv/7831471
title: AutoXGB
DOI: 10.34740/kaggle/dsv/7831472
title: OnlineFree
DOI: 10.21227/sgdy-v776
title: IEEE Access 2024 manuscript related data

description: Energy-storage-equipped static synchronous compensators (E-STATCOM) are crucial devices in a modernpower grid to regulate both the active and reactive power, thereby improving the efficiency and powerquality. Current controllers commonly used with E-STATCOM devices include proportional-integral (PI),repetitive, and deadbeat controllers. However, each has application-dependent restrictions and therefore lackthe ability to achieve optimal operation. This paper presents a novel hybrid current controller that combinesthe strengths of the PI, deadbeat, and repetitive controllers. The proposed current controller mitigates cross-coupling effects and provides a wide control bandwidth, thereby ensuring quick, precise, and robust responseto system parameter variations. Moreover, the proposed controller provides an efficient disturbance rejection,which presents a holistic solution for enhanced performance of the E-STATCOM. The proposed controllernot only overcomes the limitations of individual controllers, but also provides improved current regulation.Experimental findings obtained using a three-phase E-STATCOM are presented to illustrate the efficiencyof the proposed technique.
DOI: 10.17632/4mzp2zp8k2.1
title: Li-Isotope Fractionation in Olivine

description: 1. Optimized Crystal Structure.
2. Electronic Density of States (DOS).
3. Gamma point phonon frequencies for Li-doped olivine (both 6Li and 7Li). Lithium(Li) has been substituted in both interstitial and Mg-sites of olivine. These gamma point phonon frequencies have been used to calculate the reduced partition function ratio and fractionation factor.