cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.7498645
title: Dynamical simulation of EBSD master pattern of nickel

description: Dynamical simulation of an electron backscatter diffraction (EBSD) master pattern of nickel (<em>Fm\(\bar{3}\)m</em>, <em>a</em> = 3.5236 Å). The master pattern was simulated with EMsoft v4.3. The HDF5 file includes master patterns of the upper and lower hemispheres, in both the stereographic projection and the square Lambert projection, of accelerating voltages from 5 to 20 kV with an increment of 1 kV. The HDF5 file can be opened with any HDF5 reader, e.g. the applications HDFView and HDFCompass or the Python library h5py. The file can also be read and plotted with the Python library kikuchipy (https://kikuchipy.org). Assuming Python 3.7 or higher and the library is installed, the stereographic projection of the master pattern with all energies can be read and plotted with the following commands: <pre><code class="language-python">import kikuchipy as kp s = kp.load("/path/to/ni_mc_mp_20kv.h5") s.plot()</code></pre> The PNG file shows the stereographic projection of the upper hemisphere of the master pattern from 20 kV. The remaining files are input and output files to the EMsoft programs EMmkxtal (output: ni.xtal), EMMCOpenCL (input: ni.xtal, mcopencl.nml; output: ni_mc_mp_20kv.h5) and EMEBSDmaster (input: BetheParameters.nml, ebsdmaster.nml, ni_mc_mp_20kv.h5; output: added to existing ni_mc_mp_20kv.h5).
description: The master pattern was simulated while Håkon Wiik Ånes received financial support from the Norwegian University of Science and Technology (NTNU) through the NTNU Aluminium Product Innovation Centre (NAPIC).
DOI: 10.5281/zenodo.7498644
title: Dynamical simulation of EBSD master pattern of nickel

description: Dynamical simulation of an electron backscatter diffraction (EBSD) master pattern of nickel (<em>Fm\(\bar{3}\)m</em>, <em>a</em> = 3.5236 Å). The master pattern was simulated with EMsoft v4.3. The HDF5 file includes master patterns of the upper and lower hemispheres, in both the stereographic projection and the square Lambert projection, of accelerating voltages from 5 to 20 kV with an increment of 1 kV. The HDF5 file can be opened with any HDF5 reader, e.g. the applications HDFView and HDFCompass or the Python library h5py. The file can also be read and plotted with the Python library kikuchipy (https://kikuchipy.org). Assuming Python 3.7 or higher and the library is installed, the stereographic projection of the master pattern with all energies can be read and plotted with the following commands: <pre><code class="language-python">import kikuchipy as kp s = kp.load("/path/to/ni_mc_mp_20kv.h5") s.plot()</code></pre> The PNG file shows the stereographic projection of the upper hemisphere of the master pattern from 20 kV. The remaining files are input and output files to the EMsoft programs EMmkxtal (output: ni.xtal), EMMCOpenCL (input: ni.xtal, mcopencl.nml; output: ni_mc_mp_20kv.h5) and EMEBSDmaster (input: BetheParameters.nml, ebsdmaster.nml, ni_mc_mp_20kv.h5; output: added to existing ni_mc_mp_20kv.h5).
description: The master pattern was simulated while Håkon Wiik Ånes received financial support from the Norwegian University of Science and Technology (NTNU) through the NTNU Aluminium Product Innovation Centre (NAPIC).
DOI: 10.5281/zenodo.7260097
title: UTMInDualSymFi: A Dataset of Dual-band Wi-Fi RSSI Data in Symmetric Indoor Environments

description: The UTMInDualSymFi database contains a comprehensive source of dual-band Wi-Fi RSSI data. In total, Wi-Fi RSSI data for fingerprinting positioning were collected from 4 residential buildings <br> within Universiti Teknologi Malaysia (UTM) campus: - building 1 = F04 (raw training data + test data + radio maps)<br> - building 2 = CX1 (raw training data + test data + radio maps)<br> - building 3 = F03 (test data only)<br> - building 4 = CY2 (test data only) Buildings 1,3 are similar in structure, symmetric in layout and locations of access points.<br> Buildings 2,4 are similar in structure, symmetric in layout and locations of access points. Each building is multi-floor, with multiple wings at each floor. Wings are labeled as A,B,C. The floor(s)-wing(s) of each building at which data were collected are listed: Building Floor-wing<br> -------- ----------<br> F04 3-A<br> F04 3-B<br> F04 3-C<br> F04 4-A<br> F04 4-B<br> F04 4-C<br> CX1 3-A<br> CX1 3-B<br> CX1 5-A<br> CX1 5-B<br> F03 4-A<br> F03 4-B<br> F03 4-C Data were collected on two laptop devices. Devices are distinguished by wireless network adapters: - Device 1 = Intel<br> - Device 2 = Qualcomm RSSI values range between -50 dBm and -100 dBm<br> RSSI of (+)100 dBm signifies non detection of a certain access point/source Further details are provided in 'README.txt' (included in the data package). Detailed, data elaboration and benchmark performance analysis are reported in the related data descriptor publication: Abdullah, A.; Haris, M.; Aziz, O.A.; Rashid, R.A.; Abdullah, A.S. UTMInDualSymFi: A Dual-Band Wi-Fi Dataset for Fingerprinting Positioning in Symmetric Indoor Environments. <em>Data</em> <strong>2023</strong>, <em>8</em>, 14. https://doi.org/10.3390/data8010014 <br>
DOI: 10.5281/zenodo.7260096
title: UTMInDualSymFi: A Dataset of Dual-band Wi-Fi RSSI Data in Symmetric Indoor Environments

description: The UTMInDualSymFi database contains a comprehensive source of dual-band Wi-Fi RSSI data. In total, Wi-Fi RSSI data for fingerprinting positioning were collected from 4 residential buildings <br> within Universiti Teknologi Malaysia (UTM) campus: - building 1 = F04 (raw training data + test data + radio maps)<br> - building 2 = CX1 (raw training data + test data + radio maps)<br> - building 3 = F03 (test data only)<br> - building 4 = CY2 (test data only) Buildings 1,3 are similar in structure, symmetric in layout and locations of access points.<br> Buildings 2,4 are similar in structure, symmetric in layout and locations of access points. Each building is multi-floor, with multiple wings at each floor. Wings are labeled as A,B,C. The floor(s)-wing(s) of each building at which data were collected are listed: Building Floor-wing<br> -------- ----------<br> F04 3-A<br> F04 3-B<br> F04 3-C<br> F04 4-A<br> F04 4-B<br> F04 4-C<br> CX1 3-A<br> CX1 3-B<br> CX1 5-A<br> CX1 5-B<br> F03 4-A<br> F03 4-B<br> F03 4-C Data were collected on two laptop devices. Devices are distinguished by wireless network adapters: - Device 1 = Intel<br> - Device 2 = Qualcomm RSSI values range between -50 dBm and -100 dBm<br> RSSI of (+)100 dBm signifies non detection of a certain access point/source Further details are provided in 'README.txt' (included in the data package). Detailed, data elaboration and benchmark performance analysis are reported in the related data descriptor publication: Abdullah, A.; Haris, M.; Aziz, O.A.; Rashid, R.A.; Abdullah, A.S. UTMInDualSymFi: A Dual-Band Wi-Fi Dataset for Fingerprinting Positioning in Symmetric Indoor Environments. <em>Data</em> <strong>2023</strong>, <em>8</em>, 14. https://doi.org/10.3390/data8010014 <br>
DOI: 10.34740/kaggle/dsv/4803229
title: COVID Vaccination in World (updated daily)
DOI: 10.6084/m9.figshare.21757691.v1
title: GENOMIC DIVERSITY GRADIENTS AND FUNCTIONAL DIFFERENTIATION PUT NORTHEAST PACIFIC RIBBON KELP LINEAGES IN THE SPECIATION GREY ZONE

description: The transition from reproductively isolated populations to species is not well understood. Genotyping entire genomes holds promise to enhance insights into the process of speciation and the evolutionary relationships among related taxa. Gulf of Alaska ribbon kelp was once recognized as four species before they were folded into <em>Alaria marginata</em> on the basis of DNA barcode markers, though several lineages have continued to be recognized. Here, we used whole genome sequencing datasets to test the hypothesis that these lineages represent incipient species. Whole genomes of 69 individuals from five genetically distinctive lineages in the Gulf of Alaska (USA) and Salish Sea (Canada) were analyzed, along with 63 genomes from three other species of <em>Alaria</em>. Our analysis of &gt;3.4 million Single Nucleotide Polymorphisms reaffirm that organellar and nuclear phylogenetic signals are incongruent in <em>Alaria</em>, producing different topologies among five organellar and six nuclear <em>A. marginata</em> lineages. Lineages also display reproductive isolation, evidenced by a lack of recent admixture across genomes. Genetic distances between <em>A. marginata</em> lineages exceed levels expected of population level divergence, but fall short of distances between species of <em>Alaria</em>. Moreover, we provide evidence of functional genomic differences between the <em>A. marginata</em> lineages, exceeding differences expected between populations, but falling short of larger differences among species. Our results place <em>A. marginata</em> lineages in an evolutionary grey zone, where lineages display substantial differentiation, but not to the level expected of <em>Alaria</em> species. This information shifts taxonomic conversations towards a genome-scale framework that provides a more comprehensive picture of divergence, connectivity, and functional innovation for defining lineages. <br> The datasets presented here pertain to values of exon coverage for the various species of Alaria and lineages of A. marginata. These include gene name/product, uniprot IDs, and GO terms. Tables are for Alaria esculenta populations, Alaria species, and A. marginata lineages.
DOI: 10.6084/m9.figshare.20201666
title: Harbour porpoise detection and buzz positive minutes before and after the rerouting of a major shipping lane in Kattegatt (TANGO)

description: Passive acoustic data stretching from a year before to a year after the relocation of a major shipping lane in Kattegat (2020-07-01). 15 stations were distributed in four transects (NW, SW, NE, SE) near (1–5) the original or relocated shipping lane. Data was collected with a C-POD and processed in CPOD.exe with the KERNO filter at an 8 cycle threshold (www.chelonia.co.uk). Detection minutes and train details was exported and compiled into minute time series with detection and buzz (train minimum inter-click interval &lt;10) positive minutes. The files consists of time series data at 1 minute resolution. First column TIMESTAMP (yyyy-mm-dd HH:MM) and three Boolean (0/1) columns for: if the instrument was on or not (ON); if the minute was detection positive (DPM); if the minute was buzz positive (BPM). The file header also includes station name, position, approximate depth and data coverage. All data gaps are filled with the missing TIMESTAMP and instrument not (0) ON. This data is used in the study “No change in overall presence and habitat use of harbour porpoises (Phocoena phocoena) by rerouting of a major shipping lane in Kattegat (Baltic Sea)”. For more information please see the published work. Stations in Danish waters was managed by the Section for Marine Mammal Research, Department of Ecoscience, Aarhus University. Stations in Swedish waters was managed by Department of Environmental Research and Monitoring, Swedish Museum of Natural History. Data processing was done by the museum.
DOI: 10.6084/m9.figshare.20201666.v1
title: Harbour porpoise detection and buzz positive minutes before and after the rerouting of a major shipping lane in Kattegatt (TANGO)

description: Passive acoustic data stretching from a year before to a year after the relocation of a major shipping lane in Kattegat (2020-07-01). 15 stations were distributed in four transects (NW, SW, NE, SE) near (1–5) the original or relocated shipping lane. Data was collected with a C-POD and processed in CPOD.exe with the KERNO filter at an 8 cycle threshold (www.chelonia.co.uk). Detection minutes and train details was exported and compiled into minute time series with detection and buzz (train minimum inter-click interval &lt;10) positive minutes. The files consists of time series data at 1 minute resolution. First column TIMESTAMP (yyyy-mm-dd HH:MM) and three Boolean (0/1) columns for: if the instrument was on or not (ON); if the minute was detection positive (DPM); if the minute was buzz positive (BPM). The file header also includes station name, position, approximate depth and data coverage. All data gaps are filled with the missing TIMESTAMP and instrument not (0) ON. This data is used in the study “No change in overall presence and habitat use of harbour porpoises (Phocoena phocoena) by rerouting of a major shipping lane in Kattegat (Baltic Sea)”. For more information please see the published work. Stations in Danish waters was managed by the Section for Marine Mammal Research, Department of Ecoscience, Aarhus University. Stations in Swedish waters was managed by Department of Environmental Research and Monitoring, Swedish Museum of Natural History. Data processing was done by the museum.
DOI: 10.5281/zenodo.7501549
title: Plume-induced post-spreading intraplate volcanism within and around the South China Sea

description: This dataset contains the manually picked surface wave dispersion data and the final inverted 3-D Vs model data for our research paper "Plume-induced post-spreading intraplate volcanism within and around the South China Sea".
DOI: 10.5281/zenodo.7501548
title: Plume-induced post-spreading intraplate volcanism within and around the South China Sea

description: This dataset contains the manually picked surface wave dispersion data and the final inverted 3-D Vs model data for our research paper "Plume-induced post-spreading intraplate volcanism within and around the South China Sea".
DOI: 10.5517/ccdc.csd.cc208rpr
title: CCDC 1855464: Experimental Crystal Structure Determination

description: Related Article: Yuejiao Jia, DeChao Li, Nan Wu, Shuai Su, Shaowen Qie, Ming Hu|2022|New J.Chem.|47|674|doi:10.1039/D2NJ05079J
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.cc27qlwg
title: CCDC 2077306: Experimental Crystal Structure Determination

description: Related Article: Yu-Ling Sun, Zhen Wang, Hui Ma, Qing-Pu Zhang, Bin-Bin Yang, Xianggao Meng, Yaohua Zhang, Chun Zhang|2022|Chem.Commun.|59|302|doi:10.1039/D2CC05283K
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.cc27qlxh
title: CCDC 2077307: Experimental Crystal Structure Determination

description: Related Article: Yu-Ling Sun, Zhen Wang, Hui Ma, Qing-Pu Zhang, Bin-Bin Yang, Xianggao Meng, Yaohua Zhang, Chun Zhang|2022|Chem.Commun.|59|302|doi:10.1039/D2CC05283K
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.cc28sn5x
title: CCDC 2109059: Experimental Crystal Structure Determination

description: Related Article: Chenglin Jiang, Jingsheng Miao, Danwen Zhang, Zhenhua Wen, Chuluo Yang, Kai Li|2022|Research|2022|1|doi:10.34133/2022/9892802
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.cc28sn6y
title: CCDC 2109060: Experimental Crystal Structure Determination

description: Related Article: Chenglin Jiang, Jingsheng Miao, Danwen Zhang, Zhenhua Wen, Chuluo Yang, Kai Li|2022|Research|2022|1|doi:10.34133/2022/9892802
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.cc291n12
title: CCDC 2116743: Experimental Crystal Structure Determination

description: Related Article: Sourav Singha Roy, Sriparna Sarkar, P. K. Sudhadevi Antharjanam, Debashis Chakraborty|2023|New J.Chem.|47|635|doi:10.1039/D2NJ03982F
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.cc291n23
title: CCDC 2116744: Experimental Crystal Structure Determination

description: Related Article: Sourav Singha Roy, Sriparna Sarkar, P. K. Sudhadevi Antharjanam, Debashis Chakraborty|2023|New J.Chem.|47|635|doi:10.1039/D2NJ03982F
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.cc29jr5s
title: CCDC 2131255: Experimental Crystal Structure Determination

description: Related Article: Chenglin Jiang, Jingsheng Miao, Danwen Zhang, Zhenhua Wen, Chuluo Yang, Kai Li|2022|Research|2022|1|doi:10.34133/2022/9892802
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.cc29jr6t
title: CCDC 2131256: Experimental Crystal Structure Determination

description: Related Article: Chenglin Jiang, Jingsheng Miao, Danwen Zhang, Zhenhua Wen, Chuluo Yang, Kai Li|2022|Research|2022|1|doi:10.34133/2022/9892802
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.cc29jr9x
title: CCDC 2131259: Experimental Crystal Structure Determination

description: Related Article: Chenglin Jiang, Jingsheng Miao, Danwen Zhang, Zhenhua Wen, Chuluo Yang, Kai Li|2022|Research|2022|1|doi:10.34133/2022/9892802
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.cc29jrby
title: CCDC 2131260: Experimental Crystal Structure Determination

description: Related Article: Chenglin Jiang, Jingsheng Miao, Danwen Zhang, Zhenhua Wen, Chuluo Yang, Kai Li|2022|Research|2022|1|doi:10.34133/2022/9892802
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.cc2b7jlq
title: CCDC 2152193: Experimental Crystal Structure Determination

description: Related Article: Zhong-Shun Zhou, Yun-Li Zhao, Bin-Yuan Hu, Bei Wang, Ya-Ping Liu, Yan-Yan Zhu, Ying-Jie He, Zhao-Jie Wang, Zhi Dai, Li-Xing Zhao, Xiao-Dong Luo|2022|Chem.Commun.|59|326|doi:10.1039/D2CC06073F
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.cc2bh9cj
title: CCDC 2159657: Experimental Crystal Structure Determination

description: Related Article: Zhenwei Wu, Hualing He, Minglei Chen, Linfei Zhu, Weitao Zheng, Yang Cao, Jon C. Antilla|2022|Org.Lett.|24|9436|doi:10.1021/acs.orglett.2c03866
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.cc2bmvzt
title: CCDC 2164047: Experimental Crystal Structure Determination

description: Related Article: Jingjie Tan, Chaopeng Hu, Xin Yang, Shaoying Ju, Levy L. Cao, Yile Wu, Liu Leo Liu, Douglas W. Stephan|2022|Chem.Commun.|59|282|doi:10.1039/D2CC06075B
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.cc2bmw2y
title: CCDC 2164050: Experimental Crystal Structure Determination

description: Related Article: Jingjie Tan, Chaopeng Hu, Xin Yang, Shaoying Ju, Levy L. Cao, Yile Wu, Liu Leo Liu, Douglas W. Stephan|2022|Chem.Commun.|59|282|doi:10.1039/D2CC06075B
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.7501543
title: Data tables

description: Data tables used in our protocol.
DOI: 10.5281/zenodo.7501542
title: Data tables

description: Data tables used in our protocol.
DOI: 10.5281/zenodo.7501562
title: Illumina microarray data for our protocol

description: Illumina microarray data for our protocol
DOI: 10.5281/zenodo.7501561
title: Illumina microarray data for our protocol

description: Illumina microarray data for our protocol
DOI: 10.25835/9wxn4pg6
title: Ontology-based Documentation of Quality Assurance Measures Using the Example of a Visual Inspection

description: This dataset contains a publication about the development of an ontology for quality assurance measures using the example of a visual inspection. The work and the use case are aknowledged to the CRC1153 ''Process chain to produce hybrid high performance components by Tailored Forming''.
DOI: 10.5281/zenodo.7497194
title: naso_brachycentron_spades_01.fasta.gz

description: .
DOI: 10.5281/zenodo.7497193
title: naso_brachycentron_spades_01.fasta.gz

description: .