cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.5960222
title: FORUM end-to-end simulator emissivity retrievals

description: The dataset contains a set of netCDF files for the cases treated in the paper "Emissivity Retrievals with FORUM's End-to-end Simulator: Challenges and Recommendations". The OUTPUTS/ folder has three sub-folders: Final/ has all the full FEES retrieval run outputs used for the analysis SGM/ has the synthetic scene outputs shown in Figure 2 transmittance_results/ has the transmittance for scene 67N 18E (not a default output of the FEES) shown in Figure 3 Each run folder in Final/ contains a set of FEES output files, out of which the following two are most important for the analysis: fe2es_l2m_out_d0001.nc - the output of the L2M retrieval module fe2es_sgm_ref_d0001_acq3.nc - the reference atmosphere (synthetic scene) for that case In addition the final emissivity jacobian d_emi_num_full.dat and the atmosphere steps in the iterative retrieval process 00x_L2M_OUT.nc are also used in the analysis of the paper and are included in the folders together with additional files that are relevant for the retrieval settings. The code and additional data for the analysis in the paper can be found here: https://github.com/mayaby/FORUM_emissivity
description: Part of the Project FORUM End-to-End simulator funded by European Space Agency
description: {"references": ["https://doi.org/10.5194/amt-2021-232"]}
DOI: 10.21227/p8mb-c851
title: High Rate Algae Pond

description: Flow diagram of a two stage wastewater treatment process. In first stage, wastewater passes through the UASB reactor where organic waste is decomposed, mineralising nutrients whist producing bio-gas as a by-product. While in the second stage, wastewater is passed to algae raceway, where a paddle wheel circulates its flow. This stage removes remaining organic waste and other nutrients via algal and bacterial growth.
DOI: 10.5281/zenodo.5969907
title: fortnet-data22

description: HDF5 datasets employed to obtain application related findings of "Fortnet, a software package for training Behler-Parrinello neural networks".
DOI: 10.5281/zenodo.5969906
title: fortnet-data22

description: HDF5 datasets employed to obtain application related findings of "Fortnet, a software package for training Behler-Parrinello neural networks".
DOI: 10.5281/zenodo.5862593
title: uprolls2018-343

description: This deposit serves as a long-term archive for the unprocessed raw data behind the uprolls2018 table in my comprehensive dataset on religion and politics in India, which is available at https://github.com/raphael-susewind/india-religion-politics/tree/master/uprolls2018
DOI: 10.5281/zenodo.5862592
title: uprolls2018-343

description: This deposit serves as a long-term archive for the unprocessed raw data behind the uprolls2018 table in my comprehensive dataset on religion and politics in India, which is available at https://github.com/raphael-susewind/india-religion-politics/tree/master/uprolls2018
DOI: 10.5281/zenodo.5862577
title: uprolls2018-375

description: This deposit serves as a long-term archive for the unprocessed raw data behind the uprolls2018 table in my comprehensive dataset on religion and politics in India, which is available at https://github.com/raphael-susewind/india-religion-politics/tree/master/uprolls2018
DOI: 10.5281/zenodo.5862576
title: uprolls2018-375

description: This deposit serves as a long-term archive for the unprocessed raw data behind the uprolls2018 table in my comprehensive dataset on religion and politics in India, which is available at https://github.com/raphael-susewind/india-religion-politics/tree/master/uprolls2018
DOI: 10.5281/zenodo.5862563
title: uprolls2018-350

description: This deposit serves as a long-term archive for the unprocessed raw data behind the uprolls2018 table in my comprehensive dataset on religion and politics in India, which is available at https://github.com/raphael-susewind/india-religion-politics/tree/master/uprolls2018
DOI: 10.5281/zenodo.5862562
title: uprolls2018-350

description: This deposit serves as a long-term archive for the unprocessed raw data behind the uprolls2018 table in my comprehensive dataset on religion and politics in India, which is available at https://github.com/raphael-susewind/india-religion-politics/tree/master/uprolls2018
DOI: 10.5281/zenodo.5862557
title: uprolls2018-378

description: This deposit serves as a long-term archive for the unprocessed raw data behind the uprolls2018 table in my comprehensive dataset on religion and politics in India, which is available at https://github.com/raphael-susewind/india-religion-politics/tree/master/uprolls2018
DOI: 10.5281/zenodo.5862556
title: uprolls2018-378

description: This deposit serves as a long-term archive for the unprocessed raw data behind the uprolls2018 table in my comprehensive dataset on religion and politics in India, which is available at https://github.com/raphael-susewind/india-religion-politics/tree/master/uprolls2018
DOI: 10.5281/zenodo.5862501
title: uprolls2018-349

description: This deposit serves as a long-term archive for the unprocessed raw data behind the uprolls2018 table in my comprehensive dataset on religion and politics in India, which is available at https://github.com/raphael-susewind/india-religion-politics/tree/master/uprolls2018
DOI: 10.5281/zenodo.5862500
title: uprolls2018-349

description: This deposit serves as a long-term archive for the unprocessed raw data behind the uprolls2018 table in my comprehensive dataset on religion and politics in India, which is available at https://github.com/raphael-susewind/india-religion-politics/tree/master/uprolls2018
DOI: 10.5281/zenodo.5862262
title: uprolls2018-284

description: This deposit serves as a long-term archive for the unprocessed raw data behind the uprolls2018 table in my comprehensive dataset on religion and politics in India, which is available at https://github.com/raphael-susewind/india-religion-politics/tree/master/uprolls2018
DOI: 10.5281/zenodo.5862261
title: uprolls2018-284

description: This deposit serves as a long-term archive for the unprocessed raw data behind the uprolls2018 table in my comprehensive dataset on religion and politics in India, which is available at https://github.com/raphael-susewind/india-religion-politics/tree/master/uprolls2018
DOI: 10.5281/zenodo.5860535
title: uprolls2018-175

description: This deposit serves as a long-term archive for the unprocessed raw data behind the uprolls2018 table in my comprehensive dataset on religion and politics in India, which is available at https://github.com/raphael-susewind/india-religion-politics/tree/master/uprolls2018
DOI: 10.5281/zenodo.5860534
title: uprolls2018-175

description: This deposit serves as a long-term archive for the unprocessed raw data behind the uprolls2018 table in my comprehensive dataset on religion and politics in India, which is available at https://github.com/raphael-susewind/india-religion-politics/tree/master/uprolls2018
DOI: 10.5281/zenodo.5860533
title: uprolls2018-29

description: This deposit serves as a long-term archive for the unprocessed raw data behind the uprolls2018 table in my comprehensive dataset on religion and politics in India, which is available at https://github.com/raphael-susewind/india-religion-politics/tree/master/uprolls2018
DOI: 10.5281/zenodo.5860532
title: uprolls2018-29

description: This deposit serves as a long-term archive for the unprocessed raw data behind the uprolls2018 table in my comprehensive dataset on religion and politics in India, which is available at https://github.com/raphael-susewind/india-religion-politics/tree/master/uprolls2018
DOI: 10.5281/zenodo.5860529
title: uprolls2018-152

description: This deposit serves as a long-term archive for the unprocessed raw data behind the uprolls2018 table in my comprehensive dataset on religion and politics in India, which is available at https://github.com/raphael-susewind/india-religion-politics/tree/master/uprolls2018
DOI: 10.5281/zenodo.5860528
title: uprolls2018-152

description: This deposit serves as a long-term archive for the unprocessed raw data behind the uprolls2018 table in my comprehensive dataset on religion and politics in India, which is available at https://github.com/raphael-susewind/india-religion-politics/tree/master/uprolls2018
DOI: 10.34740/kaggle/dsv/3137563
title: AutoXGB
DOI: 10.5281/zenodo.5860527
title: uprolls2018-237

description: This deposit serves as a long-term archive for the unprocessed raw data behind the uprolls2018 table in my comprehensive dataset on religion and politics in India, which is available at https://github.com/raphael-susewind/india-religion-politics/tree/master/uprolls2018
DOI: 10.5281/zenodo.5860526
title: uprolls2018-237

description: This deposit serves as a long-term archive for the unprocessed raw data behind the uprolls2018 table in my comprehensive dataset on religion and politics in India, which is available at https://github.com/raphael-susewind/india-religion-politics/tree/master/uprolls2018
DOI: 10.5281/zenodo.5860531
title: uprolls2018-257

description: This deposit serves as a long-term archive for the unprocessed raw data behind the uprolls2018 table in my comprehensive dataset on religion and politics in India, which is available at https://github.com/raphael-susewind/india-religion-politics/tree/master/uprolls2018
DOI: 10.5281/zenodo.5860530
title: uprolls2018-257

description: This deposit serves as a long-term archive for the unprocessed raw data behind the uprolls2018 table in my comprehensive dataset on religion and politics in India, which is available at https://github.com/raphael-susewind/india-religion-politics/tree/master/uprolls2018
DOI: 10.5281/zenodo.5860525
title: uprolls2018-68

description: This deposit serves as a long-term archive for the unprocessed raw data behind the uprolls2018 table in my comprehensive dataset on religion and politics in India, which is available at https://github.com/raphael-susewind/india-religion-politics/tree/master/uprolls2018
DOI: 10.5281/zenodo.5860524
title: uprolls2018-68

description: This deposit serves as a long-term archive for the unprocessed raw data behind the uprolls2018 table in my comprehensive dataset on religion and politics in India, which is available at https://github.com/raphael-susewind/india-religion-politics/tree/master/uprolls2018
DOI: 10.6084/m9.figshare.11952378
title: The relationship between cognition and vocational training outcome in patients with acquired brain injury: Contribution of Machine Learning

description: The aim of this study was to identify specific cognitive patterns related to long-term vocational training outcome. Records of twenty-eight patients who had benefited from a professional rehabilitation program were retrospectively processed. Screening through machine learning algorithms of patients’ neuropsychological scores identified cognitive patterns related to both vocational training outcomes: succeeded or failed. These patterns were based on cognitive performance intervals even if the cognitive ability was not impaired. The cognitive pattern related to a successful vocational training included performance intervals on measures underlying verbal memory consolidation, visual memory incidental recall, problem solving and planning abilities. The cognitive pattern explaining failure of vocational training included performance intervals on tasks involving planning and problem solving abilities. From a comprehensive neuropsychological battery, memory and executive measures appeared to be the best attributes related to the vocational training outcome in patients with brain injury. Even with a cognitive functioning above the pathological cutoff, patients suffering from a brain injury could fail a vocational training. The attributes related to the vocational training outcome would be more a specific level of cognitive functioning rather than an interpretation of neuropsychological scores only based on a normal versus pathological distinction.
DOI: 10.6084/m9.figshare.11952378.v1
title: The relationship between cognition and vocational training outcome in patients with acquired brain injury: Contribution of Machine Learning

description: The aim of this study was to identify specific cognitive patterns related to long-term vocational training outcome. Records of twenty-eight patients who had benefited from a professional rehabilitation program were retrospectively processed. Screening through machine learning algorithms of patients’ neuropsychological scores identified cognitive patterns related to both vocational training outcomes: succeeded or failed. These patterns were based on cognitive performance intervals even if the cognitive ability was not impaired. The cognitive pattern related to a successful vocational training included performance intervals on measures underlying verbal memory consolidation, visual memory incidental recall, problem solving and planning abilities. The cognitive pattern explaining failure of vocational training included performance intervals on tasks involving planning and problem solving abilities. From a comprehensive neuropsychological battery, memory and executive measures appeared to be the best attributes related to the vocational training outcome in patients with brain injury. Even with a cognitive functioning above the pathological cutoff, patients suffering from a brain injury could fail a vocational training. The attributes related to the vocational training outcome would be more a specific level of cognitive functioning rather than an interpretation of neuropsychological scores only based on a normal versus pathological distinction.
DOI: 10.15151/esrf-es-624938971
title: Foldase or chaperone role of ciclophyllin A in the interaction with TDP-43

description: TDP-43 is a protein that regulates many aspects of RNA processing. In an abnormal phosphorylated state TDP-43 has been linked to the onset of amyotrophic lateral sclerosis. Cyclophilin A (PPIA) is involved in several cellular processes: it is an enzyme accelerating protein folding and also it is a molecular chaperone protecting against oxidative stress and protein misfolding. PPIA is an interacting partner of TDP-43: lack of this interaction induces TDP-43 mislocalization and aggregation, leading to neurodegeneration.We want to elucidate whether PPIA acts as a chaperone, sequestrating TDP-43 in a one to one complex, or it acts as a foldase, realising the TDP-43 substrate after the folding rearrangement. To address this issue we synthetized three different TDP-43 peptides, belonging to the region that regulates aggregation and inter-protein bonds. We plan to observe the interaction of the peptides with PPIA and how their interplay modifies the kinetics of peptides aggregation.
DOI: 10.5281/zenodo.5860523
title: uprolls2018-261

description: This deposit serves as a long-term archive for the unprocessed raw data behind the uprolls2018 table in my comprehensive dataset on religion and politics in India, which is available at https://github.com/raphael-susewind/india-religion-politics/tree/master/uprolls2018
DOI: 10.5281/zenodo.5860522
title: uprolls2018-261

description: This deposit serves as a long-term archive for the unprocessed raw data behind the uprolls2018 table in my comprehensive dataset on religion and politics in India, which is available at https://github.com/raphael-susewind/india-religion-politics/tree/master/uprolls2018
DOI: 10.6084/m9.figshare.19121846
title: Supplementary Material for: A Smarter Way to Use Your Smartphone: An Intervention to Limit Smartphone-Related Distractions Reduces Hyperactivity but Not Inattention Symptoms

description: <b><i>Introduction:</i></b> Smartphones are often helpful in our everyday lives. Yet, they also tend to interrupt us during other activities. It has been argued that such distractions contribute to <i>attention-deficit/hyperactivity disorder</i>-like symptoms. However, since there are mostly correlational studies, the causal nature of this relationship is unclear. Our aim was to test whether reducing smartphone-related distractions might have a beneficial effect on inattention and hyperactive symptoms. <b><i>Methods:</i></b> We conducted a 1-week field experiment with 37 healthy undergraduates and quasi-randomly assigned them to an intervention or control group (CG). The intervention group was given theory-based specific instructions that aimed at reducing smartphone-related distractions, whereas the CG received no intervention. The outcomes of interest were inattention level, hyperactive symptoms, and working memory accuracy. <b><i>Results:</i></b> Compared to those in the control condition, participants who limited their smartphone use showed considerable reductions in hyperactive symptoms after 1 week – particularly those who displayed high problematic smartphone use. However, there were no group differences regarding inattention symptoms and working memory accuracy. <b><i>Discussion:</i></b> The results give a first hint that strategically reducing smartphone-related distractions via specific but simple use modifications can mitigate hyperactive symptoms. Especially people with problematic smartphone use seem to profit from such an intervention. Remaining questions and directions are discussed.
DOI: 10.5281/zenodo.5908004
title: Aphidinae comparative genomics resource

description: Here we provide early access to 18 new genome assemblies, including 8 assembled to chromosome-scale, for aphids from the subfamily Aphidinae. For consistency and to aid comparative analysis, all genomes have been annotated using the same repeat masking and RNA-seq-based gene prediction pipeline. Using this pipeline we also provide new annotations for three previously published genome assemblies. The genome assemblies and annotations are made freely available without restriction, we only request that this Zenodo resource is cited when using the data. Raw sequence data upload to NCBI is underway and full details of all accessions will be given in an updated version of this resource. Manuscripts are in preparation describing the individual genome assemblies in detail and larger comparative genome analyses and we will update this resource with additional citation information as papers are published. Full details of all genome assemblies and annotations included in this release are given in the attached "Data_Description.pdf" document. <strong>Aphid species included in this release (bold type = chromosome-scale assembly):</strong> <em><strong>Aphis fabae</strong><br> Aphis glycines </em>(updated annotation)<br> <em><strong>Aphis gossypii</strong><br> Aphis thalictri<br> Aphis rumicis<br> Brachycaudus cardui<br> Brachycaudus helichrysi<br> Brachycaudus klugkisti<br> <strong>Brevicoryne brassicae</strong><br> Diuraphis noxia<br> <strong>Macrosiphum albifrons</strong><br> Metopolophium dirhodum<br> Myzus cerasi </em>(updated annotation)<br> <em>Myzus ligustri<br> Myzus lythri<br> Myzus varians<br> Pentalonia nigronervosa </em>(updated annotation)<br> <em><strong>Phorodon humuli</strong><br> <strong>Rhopalosiphum padi<br> Sitobion avenae<br> Sitobion miscanthi</strong></em>
DOI: 10.5281/zenodo.5957394
title: Post-processed dataset from 50000 numerical simulations of monopile-supported NREL 5MW wind turbine in OpenFAST

description: The dataset contains two separate files: NREL_Trainset40000.mat and NREL_Testset10000.mat. The stored input enviormental and operational parameters are: Significant wave height, m (Hs), peak period, s (Tp), wave direction, deg (Wave_dir); Wind speed, m/s (Vw_mean, Vw_std), wind direction, deg (Wdir_mean, Wdir_std); Turbine rotational speed, rpm (Rpm_mean, Rpm_std), blade pitch, deg (Pitch_mean, Pitch_std), turbine yaw angle, deg (Yaw_mean, Yaw_std). The output of the simulations includes the time series, sampled at 50 Hz, of the reaction force and bending moments at the mudline: Fzz, N Mxx, Nm Myy, Nm contact: nandar.hlaing@uliege.be
description: - Funded by Belgian Energy Transition Fund (FPS Economy) through "PhairywinD" project. - Computing equipment facilitated by "Consortium des Équipements de Calcul Intensif".
description: {"references": ["OpenFAST. Availabe at https://github.com/OpenFAST/openfast.\"", "Jonkman, K., Butterfield, S., Musial, W., & Scott, G. (2009). Definition of a 5-MW Reference Wind Turbine for Offshore System Development. 1617 Cole Boulevard, Golden, Colorado 80401-3393: National Renewable Energy Laboratory.", "Jonkman, J., & Musial, W. (2010). Offshore Code Comparison Collaboration (OC3) for IEA Task 23 Offshore Wind Technology and Deployment. 1617 Cole Boulevard, Golden, Colorado 80401-3393: National Renewable Energy Laboratory."]}
DOI: 10.5281/zenodo.5957393
title: Post-processed dataset from 50000 numerical simulations of monopile-supported NREL 5MW wind turbine in OpenFAST

description: The dataset contains two separate files: NREL_Trainset40000.mat and NREL_Testset10000.mat. The stored input enviormental and operational parameters are: Significant wave height, m (Hs), peak period, s (Tp), wave direction, deg (Wave_dir); Wind speed, m/s (Vw_mean, Vw_std), wind direction, deg (Wdir_mean, Wdir_std); Turbine rotational speed, rpm (Rpm_mean, Rpm_std), blade pitch, deg (Pitch_mean, Pitch_std), turbine yaw angle, deg (Yaw_mean, Yaw_std). The output of the simulations includes the time series, sampled at 50 Hz, of the reaction force and bending moments at the mudline: Fzz, N Mxx, Nm Myy, Nm contact: nandar.hlaing@uliege.be
description: - Funded by Belgian Energy Transition Fund (FPS Economy) through "PhairywinD" project. - Computing equipment facilitated by "Consortium des Équipements de Calcul Intensif".
description: {"references": ["OpenFAST. Availabe at https://github.com/OpenFAST/openfast.\"", "Jonkman, K., Butterfield, S., Musial, W., & Scott, G. (2009). Definition of a 5-MW Reference Wind Turbine for Offshore System Development. 1617 Cole Boulevard, Golden, Colorado 80401-3393: National Renewable Energy Laboratory.", "Jonkman, J., & Musial, W. (2010). Offshore Code Comparison Collaboration (OC3) for IEA Task 23 Offshore Wind Technology and Deployment. 1617 Cole Boulevard, Golden, Colorado 80401-3393: National Renewable Energy Laboratory."]}
DOI: 10.15151/esrf-es-652024771
title: Italian CryoEM Bag (ICB)

description: This BAG application builds on the development of single particle cryoEM in the Italian Structural Biology community, as in Italy there is no top-end instrument is yet available. The groups in this application have acquired know-how in cryoEM through international collaborations or by acquiring medium-level in-house equipment. Access to the CM01 beamline at the ESRF from August 2020 has allowed the development of projects from groups that do not have in-house equipment that will most likely result in high top level publications in 2021. The three screening microscopes presently installed in Italy boosted sample production in 2020 in spite of the Covid-19 pandemic and the number of samples foreseen for 2021 has greatly increased. The BAG from Italian institutions is nurturing the expansion of the field in Italy and will result in a high-level scientific production.
DOI: 10.5281/zenodo.5939568
title: SHP event log

description: SHP log for the replication of experiments described in Context-Aware Process Performance Indicator Prediction in IEEE Access 2020.
DOI: 10.5281/zenodo.4284352
title: SHP event log

description: SHP log for the replication of experiments described in Context-Aware Process Performance Indicator Prediction in IEEE Access 2020.
DOI: 10.34740/kaggle/dsv/3137560
title: LUFlow Network Intrusion Detection Data Set