cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17028/rd.lboro.23097164.v1
title: Supplementary information files for The mechanisms underpinning the effects of self-control exertion on subsequent physical performance: a meta-analysis

description: Supplementary files for article The mechanisms underpinning the effects of self-control exertion on subsequent physical performance: a meta-analysis Prior self-control exertion is consistently reported to cause decrements in subsequent physical performance. However, research into the explanatory mechanisms underpinning the effect is limited and has not been assessed under a meta-analytical lens. Therefore, the present study reports a meta-analysis examining the effects of self-control exertion on subsequent physical performance, as well as the mechanisms underpinning the effect. A systematic search of relevant databases was conducted to identify studies that utilized the sequential task paradigm, involving self-control manipulations lasting 30 minutes or less, and examined an aspect of physical performance. Random effects meta-analysis demonstrated that the prior exertion of self-control resulted in a statistically significant medium sized negative effect of prior self-control exertion on subsequent physical performance (g = −0.55). Further analysis revealed a small increase in initial perceptions of pain (g = 0.18) and a medium sized reduction in self-efficacy (g = −0.48), while motivation and RPE were unaffected following the exertion of self-control. The present study provides a novel insight into the mechanisms underpinning the effects of prior self-control exertion on subsequent physical performance. Initial perceptions of pain and self-efficacy appear important mechanisms and thus could be targeted in future interventions aimed at attenuating the effects of self-control exertion to enhance subsequent physical performance. <br> <br>
DOI: 10.57745/mlc3ke
title: Collocates_UN-Press.tab

description: The file contains two spreadsheets which respectively compares the collocates of the termS « adaptation » and « energy security » in the UN and press corpora. Collocates were obtained using the dedicated function in TXM (textometry software). The frequency and specificity thresholds for selecting the collocates were set at 2, while the word window was of 10 on the left and right of the node.
DOI: 10.57745/0lfbs0
title: Cosine_Similarity_UN-Press.tab

description: The data represent the cosine similarity scores between the UN and press version of the most specific and widely distributed « climate terms » shared by these two communities. The scores were obtained using the word2vec_similarity() function from the word2vec package in R, after extracting word embeddings from two corpora each representing one of the two communities (« UN » and « MEDIA » corpora). The UN corpus contains reports published by major UN institutions on climate change, while the MEDIA corpus is composed of articles from the US and British general press and dealing with the topic of climate change. All articles and reports are original documents, published in English between 2007 and 2021.
DOI: 10.57745/1g7wzi
title: Readme.txt

description: :unav
DOI: 10.21227/d6qe-en60
title: Behaviour dataset using a K-band UWB linear FMCW radar

description: Current radar fall detection techniques based on deep learning (DL) networks are often too complex for real-time detection. This paper proposes a real-time fall detection approach by reducing the complexity of the DL networks and the UWB radar hardware requirements. A multi-indoor scene behaviour dataset of 40 subjects is established using K-band UWB radar. A sliding window-based dataflow augmentation method is proposed to augment and balance the given datasets. A simple radar signal preprocessing model that is suitable for hardware with low sampling rates provides appropriately sized images of range-time spectrograms for DL. A lightweight DL network is designed to realise real-time fall detection for radar-embedded devices. The dataset division process follows the principle of mutual exclusion. The five-fold crossvalidation results (F1-score = 0.9896 ± 0.0047) and testing results obtained in a new scene (F1-score = 0.9872) confirm that only using 2-second range-time spectrogram images as inputs of the proposed network is sufficient for achieving good classification performance and strong generalisation ability. The proposed network size is 1.9178 Mb, with of 37.9978 M floating point operations (FLOPs) when the input image size of the radar range-time spectrograms is set to 112×112. Compared with currently popular DL networks, the proposed network achieves a good compromise between classification performance and computational complexity.
DOI: 10.34740/kaggle/dsv/5753665
title: YouTube Trending Video Dataset (updated daily)
DOI: 10.5281/zenodo.7962332
title: Input data for the case study reported in "DREAM: an R package for druggability evaluation of human complex diseases".

description: The data included in this record constituted the input for the case study reported in the manuscript "DREAM: an R package for druggability evaluation of human complex diseases", by Antonio Federico, Michele Fratello, Alisa Pavel, Lena Möbus, Giusy del Giudice, Angela Serra, Dario Greco. The data derive from transcriptomics experiments executed on lesional skin from atopic dermatitis patients and unaffected skin counterparts. The data consists of two files in ".txt" format reporting gene expression data in tabular format, where on the rows are reported genes and on the columns are reported samples. The data is an aggregated and batch-corrected collection of datasets originally downloaded by Gene Expression Omnibus (GEO, https://www.ncbi.nlm.nih.gov/geo/). The file "GE_Mic_AD_Pamr_MAARS.txt" reports gene expression estimates of lesional skin of atopic dermatitis patients, while the file "GE_Mic_AD_Pamr_nl_MAARS.txt" reports gene expression estimates of non-lesional skin of atopic dermatitis patients.
DOI: 10.5281/zenodo.7962331
title: Input data for the case study reported in "DREAM: an R package for druggability evaluation of human complex diseases".

description: The data included in this record constituted the input for the case study reported in the manuscript "DREAM: an R package for druggability evaluation of human complex diseases", by Antonio Federico, Michele Fratello, Alisa Pavel, Lena Möbus, Giusy del Giudice, Angela Serra, Dario Greco. The data derive from transcriptomics experiments executed on lesional skin from atopic dermatitis patients and unaffected skin counterparts. The data consists of two files in ".txt" format reporting gene expression data in tabular format, where on the rows are reported genes and on the columns are reported samples. The data is an aggregated and batch-corrected collection of datasets originally downloaded by Gene Expression Omnibus (GEO, https://www.ncbi.nlm.nih.gov/geo/). The file "GE_Mic_AD_Pamr_MAARS.txt" reports gene expression estimates of lesional skin of atopic dermatitis patients, while the file "GE_Mic_AD_Pamr_nl_MAARS.txt" reports gene expression estimates of non-lesional skin of atopic dermatitis patients.
DOI: 10.5258/soton/d2636
title: Dataset for: Limits of coupling efficiency into hollow-core antiresonant fibres

description: This data set supports the paper V. Zuba, H.C. Mulvad et al. "Limits of Coupling Efficiency into Hollow-core Antiresonant Fibres", accepted for publication in IEEE Journal of Lightwave Technology.
DOI: 10.5517/ccdc.csd.cc2bsfwg
title: CCDC 2168446: Experimental Crystal Structure Determination

description: Related Article: Wei Zhong, Jiabin Luo, Zhenzhen Liu, Guangli Zhan, Lihua Zhu, Chunxin Lu, Zhongquan Shen, Xueming Li, Xiaoming Liu|2023|Inorg.Chem.Front.|10|3139|doi:10.1039/D3QI00238A
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.cc2cbc25
title: CCDC 2184696: Experimental Crystal Structure Determination

description: Related Article: Marc Devillard, Chiara Dinoi, Iker Del Rosal, Clément Orione, Marie Cordier, Gilles Alcaraz|2023|Inorg.Chem.|62|7250|doi:10.1021/acs.inorgchem.3c00045
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.cc2cbc36
title: CCDC 2184697: Experimental Crystal Structure Determination

description: Related Article: Marc Devillard, Chiara Dinoi, Iker Del Rosal, Clément Orione, Marie Cordier, Gilles Alcaraz|2023|Inorg.Chem.|62|7250|doi:10.1021/acs.inorgchem.3c00045
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.cc2cbc58
title: CCDC 2184699: Experimental Crystal Structure Determination

description: Related Article: Marc Devillard, Chiara Dinoi, Iker Del Rosal, Clément Orione, Marie Cordier, Gilles Alcaraz|2023|Inorg.Chem.|62|7250|doi:10.1021/acs.inorgchem.3c00045
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.cc2clp1q
title: CCDC 2192693: Experimental Crystal Structure Determination

description: Related Article: Alexandra Hindle, Krzysztof Baj, Jonathan A. Iggo, Daniel J. Cox, Christopher M. Pask, Adam Nelson, Stephen P. Marsden|2023|Chem.Commun.|59|6239|doi:10.1039/D3CC01470C
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5281/zenodo.7962427
title: Wyniki symulacji dla Communication and Computing Task Allocation for Energy-Efficient Fog Networks

description: This resource contains simulation results for Communication and Computing Task Allocation for Energy-Efficient Fog Networks
DOI: 10.5281/zenodo.7962426
title: Wyniki symulacji dla Communication and Computing Task Allocation for Energy-Efficient Fog Networks

description: This resource contains simulation results for Communication and Computing Task Allocation for Energy-Efficient Fog Networks
DOI: 10.5281/zenodo.7962415
title: Continuous increase in evaporative demand shortened the growing season of European ecosystems in the last decade

description: <strong>Datasets provided above are processed data during the conducting analysis for our paper entitled "Continuous increase in evaporative demand shortened the growing season of European ecosystems in the last decade". </strong> <strong>Here is the abstract of the paper: </strong> <strong>Despite previous reports on European growing seasons lengthening due to global warming, evidence shows that this trend has been reversing in the past decade due to increased transpiration needs. We used an innovative method along with space-based observations to determine the timing of greening and dormancy and then to determine existing trends and causes. Early greening still occurs, albeit at slower rates than before. However, a recent (2011-2020) shift in the timing of dormancy has caused the season length to decrease back to 1980s levels. This shortening of season length is attributed primarily to higher atmospheric water demand in summer that suppresses transpiration even for soil moisture levels as of previous years. Transpiration suppression implies that vegetation is unable to meet the high transpiration needs. Our results have implications for future management of European ecosystems (e.g., net carbon balance and water and energy exchange with atmosphere) in a warmer world.</strong>
DOI: 10.5281/zenodo.7962414
title: Continuous increase in evaporative demand shortened the growing season of European ecosystems in the last decade

description: <strong>Datasets provided above are processed data during the conducting analysis for our paper entitled "Continuous increase in evaporative demand shortened the growing season of European ecosystems in the last decade". </strong> <strong>Here is the abstract of the paper: </strong> <strong>Despite previous reports on European growing seasons lengthening due to global warming, evidence shows that this trend has been reversing in the past decade due to increased transpiration needs. We used an innovative method along with space-based observations to determine the timing of greening and dormancy and then to determine existing trends and causes. Early greening still occurs, albeit at slower rates than before. However, a recent (2011-2020) shift in the timing of dormancy has caused the season length to decrease back to 1980s levels. This shortening of season length is attributed primarily to higher atmospheric water demand in summer that suppresses transpiration even for soil moisture levels as of previous years. Transpiration suppression implies that vegetation is unable to meet the high transpiration needs. Our results have implications for future management of European ecosystems (e.g., net carbon balance and water and energy exchange with atmosphere) in a warmer world.</strong>
DOI: 10.5281/zenodo.7962405
title: Data for the manuscript "Identification and structural studies of the crucial RNAi target of SARS-CoV-2 through molecular dynamics simulations"

description: Simulation datasets for manuscript titled "<strong>Identification and structural studies of the crucial RNAi target of SARS-CoV-2 through molecular dynamics simulations"</strong>
DOI: 10.5281/zenodo.7962404
title: Data for the manuscript "Identification and structural studies of the crucial RNAi target of SARS-CoV-2 through molecular dynamics simulations"

description: Simulation datasets for manuscript titled "<strong>Identification and structural studies of the crucial RNAi target of SARS-CoV-2 through molecular dynamics simulations"</strong>
DOI: 10.5281/zenodo.7962385
title: Drone orthomosaic and DEM of the Nuusaq archaeological site in NW Greenland

description: This dataset consists of a digital elevation model (DEM) and an orthomosaic of the Nuusaq archaeological site, located on the Nuussuaq Peninsula in NW Greenland. The DEM and orthomosaic were produced from 2143 aerial images that were acquired by a DJI Phantom 3 drone. The images were processed using Agisoft Metashape Professional (version 1.7.1) following protocols established by the United States Geological Survey (USGS) for drone surveys of coastal regions (Over et al., 2021). The drone survey of the Nuusaq site was conducted as part of the Vaigat Iceberg-Microbial Oil Degradation and Archaeological Heritage Investigation (VIMOA) project, which was funded by the Danish Centre for Marine Research and supported by the Arctic Research Centre at Aarhus University, in affiliation with the National Museum of Denmark, the Greenland Institute of Natural Resources, and The Greenland National Museum and Archives in Nuuk. Archaeological permits for the survey were obtained in advance from the Greenland National Museum and Archives in Nuuk. Walsh et al. (2020) provide an overview of the archaeological surveys conducted during the VIMOA project. Over et al. (2021) Processing Coastal Imagery With Agisoft Metashape Professional Edition, Version 1.6—Structure From Motion Workflow Documentation. USGS Open File Report 2021-1039. doi:10.3133/ofr20211039. https://pubs.er.usgs.gov/publication/ofr20211039 Walsh et al. (2020) The VIMOA project and archaeological heritage in the Nuussuaq Peninsula of north-west Greenland. Antiquity 94:e6 doi:10.15184/aqy.2019.230
DOI: 10.5281/zenodo.7962384
title: Drone orthomosaic and DEM of the Nuusaq archaeological site in NW Greenland

description: This dataset consists of a digital elevation model (DEM) and an orthomosaic of the Nuusaq archaeological site, located on the Nuussuaq Peninsula in NW Greenland. The DEM and orthomosaic were produced from 2143 aerial images that were acquired by a DJI Phantom 3 drone. The images were processed using Agisoft Metashape Professional (version 1.7.1) following protocols established by the United States Geological Survey (USGS) for drone surveys of coastal regions (Over et al., 2021). The drone survey of the Nuusaq site was conducted as part of the Vaigat Iceberg-Microbial Oil Degradation and Archaeological Heritage Investigation (VIMOA) project, which was funded by the Danish Centre for Marine Research and supported by the Arctic Research Centre at Aarhus University, in affiliation with the National Museum of Denmark, the Greenland Institute of Natural Resources, and The Greenland National Museum and Archives in Nuuk. Archaeological permits for the survey were obtained in advance from the Greenland National Museum and Archives in Nuuk. Walsh et al. (2020) provide an overview of the archaeological surveys conducted during the VIMOA project. Over et al. (2021) Processing Coastal Imagery With Agisoft Metashape Professional Edition, Version 1.6—Structure From Motion Workflow Documentation. USGS Open File Report 2021-1039. doi:10.3133/ofr20211039. https://pubs.er.usgs.gov/publication/ofr20211039 Walsh et al. (2020) The VIMOA project and archaeological heritage in the Nuussuaq Peninsula of north-west Greenland. Antiquity 94:e6 doi:10.15184/aqy.2019.230
DOI: 10.5281/zenodo.7841183
title: Differential spectrometric gas sensor with dual out-of-phase microplasma sources, dataset

description: Data recorded for the publication <em>Differential spectrometric gas sensor with dual out-of-phase microplasma sources.</em> The CSVs contain five columns, split at half the number of rows. Columns in the top half:<br> 1) Timestamp [s]<br> 2) Photodetector voltage [V]<br> 3) Reference voltage for power supplies [V] Bottom half columns:<br> 1) Sensor signal [Hz]<br> 2) FFT of the sensor signal [dBm]
DOI: 10.5281/zenodo.7841182
title: Differential spectrometric gas sensor with dual out-of-phase microplasma sources, dataset

description: Data recorded for the publication <em>Differential spectrometric gas sensor with dual out-of-phase microplasma sources.</em> The CSVs contain five columns, split at half the number of rows. Columns in the top half:<br> 1) Timestamp [s]<br> 2) Photodetector voltage [V]<br> 3) Reference voltage for power supplies [V] Bottom half columns:<br> 1) Sensor signal [Hz]<br> 2) FFT of the sensor signal [dBm]
DOI: 10.48583/4v49-tv85
title: Mare Street Baptist Church Burials metadata

description: Excel sheet containing the raw osteological analysis data recorded under site code (MSR08)
description: London
DOI: 10.5281/zenodo.7962519
title: SciExpeM - 10.5281/zenodo.7962519

description: Sun et al., Combustion and Flame 244 (2022) 112247
DOI: 10.5281/zenodo.7962518
title: SciExpeM - 10.5281/zenodo.7962519

description: Sun et al., Combustion and Flame 244 (2022) 112247
DOI: 10.5281/zenodo.7962522
title: SciExpeM - 10.5281/zenodo.7962522

description: Gao, Zhenhua; Hu, Erjiang; Xu, Zhaohua; Yin, Geyuan; Huang, Zuohua, 0000-0002-8932-5842 - Combustion And Flame, 2019, (207), 20-35
DOI: 10.5281/zenodo.7962521
title: SciExpeM - 10.5281/zenodo.7962522

description: Gao, Zhenhua; Hu, Erjiang; Xu, Zhaohua; Yin, Geyuan; Huang, Zuohua, 0000-0002-8932-5842 - Combustion And Flame, 2019, (207), 20-35
DOI: 10.5281/zenodo.7962528
title: SciExpeM - 10.5281/zenodo.7962528

description: Gao, Zhenhua; Hu, Erjiang; Xu, Zhaohua; Yin, Geyuan; Huang, Zuohua, 0000-0002-8932-5842 - Combustion And Flame, 2019, (207), 20-35
DOI: 10.5281/zenodo.7962527
title: SciExpeM - 10.5281/zenodo.7962528

description: Gao, Zhenhua; Hu, Erjiang; Xu, Zhaohua; Yin, Geyuan; Huang, Zuohua, 0000-0002-8932-5842 - Combustion And Flame, 2019, (207), 20-35
DOI: 10.5281/zenodo.7962526
title: SciExpeM - 10.5281/zenodo.7962526

description: Gao, Zhenhua; Hu, Erjiang; Xu, Zhaohua; Yin, Geyuan; Huang, Zuohua, 0000-0002-8932-5842 - Combustion And Flame, 2019, (207), 20-35
DOI: 10.5281/zenodo.7962525
title: SciExpeM - 10.5281/zenodo.7962526

description: Gao, Zhenhua; Hu, Erjiang; Xu, Zhaohua; Yin, Geyuan; Huang, Zuohua, 0000-0002-8932-5842 - Combustion And Flame, 2019, (207), 20-35
DOI: 10.6084/m9.figshare.19790425.v2
title: Publicação de dados de pesquisa_Enfermagem

description: Publicação de dados Dataset Datapaper Data sets Efermagem <br>
DOI: 10.5281/zenodo.7429037
title: Dataset for Named Entity Recognition and Entity Linking from Greek Wikipedia Events

description: An automated benchmark dataset for (Named Entity Recognition) NER and (Named Entity Linking) NEL tools, based on Greek Wikipedia events pages. Note: This data includes data from the following sources:<br> - Wikipedia el.wikipedia.org <strong>Description</strong> The dataset is provided in the form of three JSON-formatted subsets i.e., train, validation and test in an analogy of 70-20-10. The current version of the dataset contains 18,617 events annotated with 40,798 entity mentions and 36,189 links to elWikipedia (and wikidata ids). The dataset contains annotations belonging to 8 entity types: person, organization, location, gpe, event, facility, product and work of art. Overall dataset statistics Docs Tokens Sentences Surface Mentions Valid Links Red Links <strong>Train</strong> 13,031 332,077 16,927 28,593 25,365 3,228 <strong>Validation</strong> 3,722 94,746 4,844 8,168 7,240 928 <strong>Test</strong> 1,862 47,450 2,427 4,037 3,584 453 <strong>Total</strong> 18,617 474,361 24,200 40,798 36,189 4,609 <strong>Example</strong> A record example is given below. { "json_file": "February 2012_39_0 events",<br> "text": "Sudan and South Sudan sign non-aggression pact.",<br> "ground_truth_mentions": [<br> {"start": 0, "end": 4, "surface_mention": "Sudan", "mention_type": "GPE"},<br> {"start": 10, "end": 20, "surface_mention": "South Sudan", "mention_type": "GPE"}<br> ],<br> "ground_truth_links": [<br> {"enwiki": "Sudan","wikidata": "Q1049"},<br> {"enwiki": "South_Sudan", "wikidata": "Q958"}<br> ]<br> } <strong>Code</strong> https://gitlab.isl.ics.forth.gr/debatelab/elwiki_events_benchmark <strong>Acknowledgments</strong> This work has received funding from the Hellenic Foundation for Research and Innovation (HFRI) and the General Secretariat for Research and Technology (GSRT), under grant agreement No 4195.