cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc266sfn
title: CCDC 2032311: Experimental Crystal Structure Determination

description: Related Article: Dan Liu, Jun Cao, Jing Sun, Ru-Zhang Liu, Chao-Guo Yan|2020|Org.Lett.|22|8931|doi:10.1021/acs.orglett.0c03331
DOI: 10.5517/ccdc.csd.cc266sgp
title: CCDC 2032312: Experimental Crystal Structure Determination

description: Related Article: Dan Liu, Jun Cao, Jing Sun, Ru-Zhang Liu, Chao-Guo Yan|2020|Org.Lett.|22|8931|doi:10.1021/acs.orglett.0c03331
DOI: 10.5517/ccdc.csd.cc267f0x
title: CCDC 2032918: Experimental Crystal Structure Determination

description: Related Article: Dan Liu, Jun Cao, Jing Sun, Ru-Zhang Liu, Chao-Guo Yan|2020|Org.Lett.|22|8931|doi:10.1021/acs.orglett.0c03331
DOI: 10.17028/rd.lboro.13302629.v1
title: Supplementary information files for Comparison of management strategies for the charging schedule and all-electric operation of a plug-in hybrid-electric bi-articulated bus fleet

description: Supplementary files for article Comparison of management strategies for the charging schedule and all-electric operation of a plug-in hybrid-electric bi-articulated bus fleet. This study developed a real-time optimisation (RTO) model that uses real-world bus operation data, i.e. route-specific and time-specific driving cycles. Potentials for energy savings and all-electric operation were estimated for a plug-in hybrid-electric bi-articulated bus fleet (PLUG scenario) that can be managed according to different management strategies. Five strategies, A to E, were simulated that manage the charging schedule and all-electric operation with different priorities: PLUG-A, prioritise buses for charging by arrival times at the charging station (first come, first served); PLUG-B, prioritise buses for charging by energy intensities of the bus routes; PLUG-C, minimise the total energy use of the bus fleet; PLUG-D, maximise the total all-electric time of the bus fleet; and PLUG-E, maximise the total all-electric distance of the bus fleet. For comparison, a business-as-usual (BAU) scenario with conventional buses and another scenario with hybrid-electric buses (HYB) were simulated. Two weeks of real-world bus operation data from the city of Curitiba in Brazil were used as input data. The study finds that total energy savings of 17% and 27% in the HYB and PLUG scenarios can be achieved compared to the BAU scenario, respectively. Meanwhile, the average shares of the total all-electric time (TAET) and total all-electric distance (TAED) to the total bus fleet operation amount to 20% and 14% in the HYB scenario. Furthermore, both TAET and TAED in the PLUG scenario depend strongly on the chosen strategy amounting to ranges of 21–64% and 17–61%, respectively. Simultaneous maxima were found for strategy D.
DOI: 10.17028/rd.lboro.13302629
title: Supplementary information files for Comparison of management strategies for the charging schedule and all-electric operation of a plug-in hybrid-electric bi-articulated bus fleet

description: Supplementary files for article Comparison of management strategies for the charging schedule and all-electric operation of a plug-in hybrid-electric bi-articulated bus fleet. This study developed a real-time optimisation (RTO) model that uses real-world bus operation data, i.e. route-specific and time-specific driving cycles. Potentials for energy savings and all-electric operation were estimated for a plug-in hybrid-electric bi-articulated bus fleet (PLUG scenario) that can be managed according to different management strategies. Five strategies, A to E, were simulated that manage the charging schedule and all-electric operation with different priorities: PLUG-A, prioritise buses for charging by arrival times at the charging station (first come, first served); PLUG-B, prioritise buses for charging by energy intensities of the bus routes; PLUG-C, minimise the total energy use of the bus fleet; PLUG-D, maximise the total all-electric time of the bus fleet; and PLUG-E, maximise the total all-electric distance of the bus fleet. For comparison, a business-as-usual (BAU) scenario with conventional buses and another scenario with hybrid-electric buses (HYB) were simulated. Two weeks of real-world bus operation data from the city of Curitiba in Brazil were used as input data. The study finds that total energy savings of 17% and 27% in the HYB and PLUG scenarios can be achieved compared to the BAU scenario, respectively. Meanwhile, the average shares of the total all-electric time (TAET) and total all-electric distance (TAED) to the total bus fleet operation amount to 20% and 14% in the HYB scenario. Furthermore, both TAET and TAED in the PLUG scenario depend strongly on the chosen strategy amounting to ranges of 21–64% and 17–61%, respectively. Simultaneous maxima were found for strategy D.
DOI: 10.5281/zenodo.3601500
title: UI Dark Patterns and Where to Find Them: A Study on Mobile Applications and User Perception

description: UI Dark Patterns and Where to Find Them: A Study on Mobile Applications and User Perception This dataset contains: survey_data.xlsx: Read-only spreadsheet containing the answers of 541 participants of our online survey (48 participants opted to not make their answers publicly available); classification_data.xlsx: Read-only spreadsheet containing the overall and the individual categorization of 240 mobile apps with respect to the presence of dark patterns; and, Videos.zip: videos of 15 apps (10 minutes each) used to classify the apps. The complete set of videos is considerably large and can be provided upon request.
DOI: 10.34740/kaggle/dsv/1700295
title: US counties COVID 19 dataset
DOI: 10.5281/zenodo.4297331
title: Ergänzungsmaterialien zum Artikel "Schreibprozesse und Texte im Zeitalter der Digitalisierung: Herausforderungen für eine zeitgemäße Schreibwissenschaft und -didaktik. Ein Werkstatt- und Forschungsgespräch der SIG Digitalisierung"

description: Mit der Fragestellung „Wie berücksichtigt die Schreibwissenschaft Veränderungen durch digitale Schreibprozesse und digitale Texte von Studierenden?“ kam die SIG Digitalisierung in einem virtuellen Werkstatt- und Forschungsgespräch zusammen, um Aspekte der Digitalisierung hinsichtlich Schreibforschung und -beratung zu diskutieren. Im Gespräch wurde deutlich, dass Digitalisierung wesentliche Aspekte des Schreibens (Schreibprozesse, Text-Definition) verändert. Dabei gewinnen Informations- sowie Medienkompetenz einen hohen Stellenwert und können schreibdidaktisch gefördert werden. In diesem Sinne gibt es weiterhin einen Bedarf von Train-the-Trainer-Angeboten, welche die Besonderheiten digitalen Schreibens für die Lehre vermitteln.
DOI: 10.15468/wskm2u
title: On eight species of the spider genus Synagelides Strand, 1906 from China (Araneae: Salticidae)

description: This dataset contains the digitized treatments in Plazi based on the original journal article Wang, Cheng, Irfan, Muhammad, Peng, Xian-Jin (2020): On eight species of the spider genus Synagelides Strand, 1906 from China (Araneae: Salticidae). European Journal of Taxonomy 724: 1-33, DOI: https://doi.org/10.5852/ejt.2020.724.1153
DOI: 10.5281/zenodo.4271930
title: Morphological and phylogenetic data confirm the identity of Prasiola fluviatilis (Prasiolales, Trebouxiophyceae) from glacier streams in the Tianshan Mountains, China

description: rbcL and tufA alignments used for the phylogenetic analyses. Genbank accession numbers of new sequences of Prasiola fluviatilis voucher XJ20170806: MT846163 (rbcL), MT846164 (<em>tuf</em>A). Samples deposited in the herbarium of the Laboratory of Algae and Environment, Biology Department, Shanghai Normal University (SHTU), Shanghai, China. Abstract of publication: The green alga <em>Prasiola fluviatilis</em> (Sommerfelt) Areschoug ex Lagerstedt occurs in cold lotic environments. The species has a mainly circumarctic distribution, but has also been reported from glacier areas in lower latitude regions in both hemispheres. It was reported from China on a single occasion in the first half of the 20<sup>th</sup> century, but without description, illustrations or voucher specimens the identity of this record cannot be verified. Here we confirm the presence of <em>P. fluviatilis</em> in the Tianshan Mountains, Xinjiang Province, China based on morphological features, habitat characteristics, and plastid <em>rbc</em>L and <em>tuf</em>A gene sequences. The biogeographic distribution of <em>P. fluviatilis</em> and its phylogenetic relationship with other terrestrial and freshwater <em>Prasiola</em> species are discussed.
DOI: 10.5281/zenodo.4271929
title: Morphological and phylogenetic data confirm the identity of Prasiola fluviatilis (Prasiolales, Trebouxiophyceae) from glacier streams in the Tianshan Mountains, China

description: rbcL and tufA alignments used for the phylogenetic analyses. Genbank accession numbers of new sequences of Prasiola fluviatilis voucher XJ20170806: MT846163 (rbcL), MT846164 (<em>tuf</em>A). Samples deposited in the herbarium of the Laboratory of Algae and Environment, Biology Department, Shanghai Normal University (SHTU), Shanghai, China. Abstract of publication: The green alga <em>Prasiola fluviatilis</em> (Sommerfelt) Areschoug ex Lagerstedt occurs in cold lotic environments. The species has a mainly circumarctic distribution, but has also been reported from glacier areas in lower latitude regions in both hemispheres. It was reported from China on a single occasion in the first half of the 20<sup>th</sup> century, but without description, illustrations or voucher specimens the identity of this record cannot be verified. Here we confirm the presence of <em>P. fluviatilis</em> in the Tianshan Mountains, Xinjiang Province, China based on morphological features, habitat characteristics, and plastid <em>rbc</em>L and <em>tuf</em>A gene sequences. The biogeographic distribution of <em>P. fluviatilis</em> and its phylogenetic relationship with other terrestrial and freshwater <em>Prasiola</em> species are discussed.
DOI: 10.5281/zenodo.4298023
title: Processed data on current events for SDBD units based on Al₂O₃ and AlN barriers (from 1.4 to 2.4 kV)

description: The dataset contains processed data of current events measured from the reverse electrode of the SDBD units made of Al₂O₃ and AlN, respectively.<br> Each file corresponds to specific material and specific voltage(dset1#{1..6}_cache.npz is for Al₂O₃; dset2#{1..6}_cache.npz is for AlN; from 1.4 to 2.4 kV). Files contain the following NumPy arrays: "events" is a processed data of current events approximated by an analytical function, legend: 'r' is a Pearson's correlation coefficient between the raw signal and analytical approximation; 'ph is a phase of supply voltage (when event occur); 'vm' is a value of supply voltage (when event occur); 'tm' is a time moment of the event's occurrence; 'dq' is a charge transferred in a single event; 'a,b' are the rates of current rise and decay; 'dt' is a peak's half-width; 's' is a parameter of peak asymmetry. "index" determines boundaries between different periods in "events"-array (for example, third period contains events[index[2]:index[3]]). "oscid" determines boundaries between different measurements in the "index"-array. "vamps", "vfrqs", "cap0s", "cap1s" are the measurement specific arrays; they contain values of voltage amplitude, frequency, 'cold' and 'plasma' capacities of the system. They should be near-constant.
DOI: 10.5281/zenodo.4298022
title: Processed data on current events for SDBD units based on Al₂O₃ and AlN barriers (from 1.4 to 2.4 kV)

description: The dataset contains processed data of current events measured from the reverse electrode of the SDBD units made of Al₂O₃ and AlN, respectively.<br> Each file corresponds to specific material and specific voltage(dset1#{1..6}_cache.npz is for Al₂O₃; dset2#{1..6}_cache.npz is for AlN; from 1.4 to 2.4 kV). Files contain the following NumPy arrays: "events" is a processed data of current events approximated by an analytical function, legend: 'r' is a Pearson's correlation coefficient between the raw signal and analytical approximation; 'ph is a phase of supply voltage (when event occur); 'vm' is a value of supply voltage (when event occur); 'tm' is a time moment of the event's occurrence; 'dq' is a charge transferred in a single event; 'a,b' are the rates of current rise and decay; 'dt' is a peak's half-width; 's' is a parameter of peak asymmetry. "index" determines boundaries between different periods in "events"-array (for example, third period contains events[index[2]:index[3]]). "oscid" determines boundaries between different measurements in the "index"-array. "vamps", "vfrqs", "cap0s", "cap1s" are the measurement specific arrays; they contain values of voltage amplitude, frequency, 'cold' and 'plasma' capacities of the system. They should be near-constant.
DOI: 10.6084/m9.figshare.13238258
title: tblastn results of Am_MLE_1186 against A. mellifera genome

description: tblastn results of Am_MLE_1186 against A. mellifera genome
DOI: 10.6084/m9.figshare.13238258.v1
title: tblastn results of Am_MLE_1186 against A. mellifera genome

description: tblastn results of Am_MLE_1186 against A. mellifera genome
DOI: 10.5281/zenodo.4298502
title: Global Wheat Head Dataset - 2020 challenge version

description: The latest version is V4. This is the only official version of the Global Wheat Head Dataset presented in David et al. (2020) . It's a corrected version of the dataset published on Kaggle, and the one used for the Codalab challenge. Test labels are available on request by filling the form here or contacting <strong>etienne.david@outlook.com</strong> If you use the dataset for your paper, please cite: https://doi.org/10.34133/2020/3521852 If you want to benchmark your solution and get localization and counting metrics, please submit to the codalab challenge:
description: {"references": ["David E. et al. Plant Phenomics (2020) : Global Wheat Head Detection (GWHD) Dataset: A Large and Diverse Dataset of High-Resolution RGB-Labelled Images to Develop and Benchmark Wheat Head Detection Methods"]}
DOI: 10.5281/zenodo.4252245
title: Global Wheat Head Dataset - 2020 challenge version

description: The latest version is V4. This is the only official version of the Global Wheat Head Dataset presented in David et al. (2020) . It's a corrected version of the dataset published on Kaggle, and the one used for the Codalab challenge. Test labels are available on request by filling the form here or contacting <strong>etienne.david@outlook.com</strong> If you use the dataset for your paper, please cite: https://doi.org/10.34133/2020/3521852 If you want to benchmark your solution and get localization and counting metrics, please submit to the codalab challenge:
description: {"references": ["David E. et al. Plant Phenomics (2020) : Global Wheat Head Detection (GWHD) Dataset: A Large and Diverse Dataset of High-Resolution RGB-Labelled Images to Develop and Benchmark Wheat Head Detection Methods"]}
DOI: 10.5281/zenodo.4275239
title: Global Wheat Head Dataset - 2020 challenge version

description: V3 is deprecated. The latest version is V4. This is the only official version of the Global Wheat Head Dataset presented in David et al. (2020) . It's a corrected version of the dataset published on Kaggle, and the one used for the Codalab challenge. Test labels are available on request by filling the form here or contacting <strong>etienne.david@outlook.com</strong> If you use the dataset for your paper, please cite: https://doi.org/10.34133/2020/3521852 If you want to benchmark your solution and get localization and counting metrics, please submit to the codalab challenge:
description: {"references": ["David E. et al. Plant Phenomics (2020) : Global Wheat Head Detection (GWHD) Dataset: A Large and Diverse Dataset of High-Resolution RGB-Labelled Images to Develop and Benchmark Wheat Head Detection Methods"]}
DOI: 10.6084/m9.figshare.7713308
title: Carbon and nitrogen cycling in Yedoma permafrost controlled by microbial functional limitations

description: These data and script accompany the article "<i><b>Carbon and nitrogen cycling in Yedoma permafrost controlled by microbial functional limitations</b></i>" (Monteux, Keuper <i>et al</i>., Nature Geoscience, 2020. doi:10.1038/s41561-020-00662-4) and were used to create the figures and tables found in the article and its Extended Data.<br><br>The file <i>MonteuxKeuper_Functional_limitations.R</i> is the main script, and the different data files are described in the first section of that script. To reproduce the figures displayed in the article, download the script, and both zip files into the same folder, then extract the <i>R.zip</i> and <i>Metadata.zip</i> files. <br><br>The up-stream bioinformatics pipelines used to obtain the data files, depicted here as HTML files (<i>MonteuxKeuper_16S.html</i> and <i>MonteuxKeuper_ITS.html</i>), are found at <b>https://bitbucket.org/smonteux/functional_limitations/</b> and the raw sequence files are deposited at the European Nucleotide Archive (Project number<b> PRJEB29467 </b>/ ERP111771)
DOI: 10.25405/data.ncl.9994739
title: Quantum Experience data for quantum witness test of non-macrorealistic cat states

description: Raw data from IBM Q5 and Q14 data for computing the quantum witness values. Data for n=2,4,6 qubits. Data from calculating measurement invasiveness parameters.<br>
DOI: 10.25405/data.ncl.9994739.v4
title: Quantum Experience data for quantum witness test of non-macrorealistic cat states

description: Raw data from IBM Q5 and Q14 data for computing the quantum witness values. Data for n=2,4,6 qubits. Data from calculating measurement invasiveness parameters.<br>
DOI: 10.25405/data.ncl.9994739.v3
title: Quantum Experience data for quantum witness test of non-macrorealistic cat states

description: Raw data from IBM Q5 and Q14 data for computing the quantum witness values. Data for n=2,4,6 qubits. Data from calculating measurement invasiveness parameters.<br>
DOI: 10.21227/1y3d-gm98
title: A filter - Supplementary materials

description: This code repository contains accompanying material and code needed for reproducing results in the paper:R. Pilipović, V. Risojević, P. Bulić *"On the Design of an Energy Efficient Digital IIR A-weighting Filter using Approximate Multiplication"*For Verilog to GDS synthesis flow, we employed OpenROAD Flow, representing a full RTL-to-GDS flow built entirely on open-source tools. Besides OpenROAD, we used the Vivado suite from Xilinx to deploy the proposed filter on the ZYBO Z7 board. The supplementary material is organized as follows:
DOI: 10.21227/t2ms-e172
title: A filter - Supplementary materials

description: This code repository contains accompanying material and code needed for reproducing results in the paper:R. Pilipović, V. Risojević, P. Bulić *"On the Design of an Energy Efficient Digital IIR A-weighting Filter using Approximate Multiplication"*For Verilog to GDS synthesis flow, we employed OpenROAD Flow, representing a full RTL-to-GDS flow built entirely on open-source tools. Besides OpenROAD, we used the Vivado suite from Xilinx to deploy the proposed filter on the ZYBO Z7 board. The supplementary material is organized as follows:
DOI: 10.5285/c6b2f1ca5f8e4c5285fb4f69d1514a03
title: Lagrangian Dry Point data regarding the sensitivity of stratospheric water vapour to variability in tropical tropopause temperatures and large-scale transport

description: This dataset contains results in support of a publication that investigates processes affecting water vapour entry to the stratosphere. The back trajectories were calculated using the OFFLINE trajectory model. Past publications have shown the key processes are temperatures in the tropical tropopause layer and large-scale transport into the stratosphere using trajectory methods. Lagrangian Dry Points (LDPs) are normally calculated as the minimum water vapour saturation mixing ratio experienced along a back-trajectory that has traversed from troposphere to tropical lower stratosphere in its recorded history. This study separated the two key processes by sampling alternative temperatures. These alternative temperatures are either time-shifted or averaged in time or longitude. This method is applied for two meteorological datasets: ERA-Interim (ERA-I) reanalysis for the period 1999-2009, and the UM-UKCA chemistry-climate model for eleven years of a repeat-year-2000 forcing scenario. The ERA-I trajectories were calculated by S Fueglistaler and S Liu for separate publications. The UM-UKCA climate model scenario was conducted by A Maycock. This dataset contains only the LDPs resulting from alternative-temperature sampling. The directory UM-UKCA/LDP-original-T/ provides a simple view of the original unmodified method to calculate LDPs. LDP-alt-T/ directories contain LDPs determined with time-shifted alternative temperature samplings. The time-shift is identified by the alternative initialisation date, denoted in the filename and file metadata. LDP-ave-T/ directories contain LDPs determine with averaged alternative temperature samplings. The averaging is identified by the variable name and metadata. In the variable names, shorthand and full-name identifiers include 6h (6 hourly instantaneous), ZM (zonal mean), 30DZM (30-day rolling window mean and zonal mean), 120DM, 90DM, 60DM, 30DM, 15DM, 14DM, 8DM, 7DM, 4DM, 2DM, 1DM (rolling window 120 day mean, 90 day mean, etc.). Note that various alternative temperatures are recorded at each LDP calculated from each alternative temperature. For more information on the directory structure, file naming conventions, variable naming conventions and attribute conventions please see the README.txt.
DOI: 10.15468/dyvg9h
title: A new Dicranophragma (Diptera: Limoniidae) from a hypogeous environment in Catalonia (Iberian Peninsula)

description: This dataset contains the digitized treatments in Plazi based on the original journal article Mederos, Jorge, Gago, Sergi, Brañas, Neus, Fadrique, Floren, Caballero-López, Berta, Masó, Glòria (2020): A new Dicranophragma (Diptera: Limoniidae) from a hypogeous environment in Catalonia (Iberian Peninsula). European Journal of Taxonomy 724: 109-121, DOI: https://doi.org/10.5852/ejt.2020.724.1163
DOI: 10.21227/hk7x-7v23
title: A filter - Supplementary materials

description: This repository contains accompanying material and code needed for reproducing results in the paper:R. Pilipović, V. Risojević, P. Bulić *"On the Design of an Energy Efficient Digital IIR A-weighting Filter using Approximate Multiplication"*For Verilog to GDS synthesis flow, we employed OpenROAD Flow, representing a full RTL-to-GDS flow built entirely on open-source tools. Besides OpenROAD, we used the Vivado suite from Xilinx to deploy the proposed filter on the ZYBO Z7 board. The supplementary material is organized as follows:
DOI: 10.21227/n1gd-f337
title: 200W BLDC 1

description: x
DOI: 10.21227/smap-y095
title: 200W BLDC 2

description: z
DOI: 10.21227/ntzs-d303
title: 200W BLDC Sensorless FOC with Adaptive Sliding Mode Observer

description: z
DOI: 10.21227/tktr-av73
title: 200W BLDC Sensorless FOC with Flux Observer

description: x