cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.2636095
title: Freezing point of water, water content and proportion of freezing water in Heracleum sosnowskyi seedlings with radicles

description: <strong>Method plant tissue of analysis using differential scanning calorimetry (DSC)</strong>

Differential scanning calorimetry was used to assess the risk of tissue plant damage by low negative temperatures. We measured the freezing point of water, the water content and the proportion of freezing water in plant samples using the DSC – 60 Shimadzu calorimeter (Japan). The samples were seedlings with radicles of <em>Heracleum sosnowskyi</em> (hogweed) plants from under snow. The samples were placed in an aluminum pan with a volume of 0.1 cm<sup>3</sup>. The sample was cooled at a rate of 1 °C/min from +5 °C to -30 °C. The water crystallization temperature was determined at the beginning of the phase transition peak. After measurements, the material was dried at 105 °C to a constant dry mass.

The following calculations were applied:


	A – DSC data (water crystallization temperature, ºC);
	B – wet weight sample (mg);
	C – dry weight sample (mg);
	D = B-C – (water content in sample, mg);
	E – DSC data (heat from water freezing, mJ);
	F= E× 335 – (frozen water in sample, mg);
	335 –The heat of frozen for water is approximately (mJ/mg);
	G = D-F – (non-freezing water, mg);
	H = (100%/D) × F – (frozen water in sample, %);
	I = (D/B) ×100 – (water content in sample, %);
	J= D/C (mg H<sub>2</sub>O/mg dry weight sample).


 

The results of the analysis are presented in the file «The_results_DSC_analysis_of_seedlings_Heracl_sosn_2017.xls».

Measurements were carried out in March 2017. The samples were seedlings with radicles of <em>Heracleum sosnowskyi</em> (hogweed) plants from under snow. Geographical coordinates vegetation plants 61.645333, 50.733196.
DOI: 10.5519/qd.pebl3ixp
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1 records)
DOI: 10.14272/vcvfpfprviocte-wcwdxbqesa-n/13cnmr
title: 13C NMR (, InChI=1S/C22H18N2O4/c1-27-21(25)16-10-8-15(9-11-16)19-13-12-17(22(26)28-2)14-20(19)24-23-18-6-4-3-5-7-18/h3-14H,1-2H3/b24-23+)

description: dataset for 13C NMR
      
      13C NMR (125 MHz, CDCl3, ppm) δ = 167.1 (1C, CO2CH3), 166.6 (1C, CO2CH3), 152.7 (1C, Cq), 149.7 (1C, Cq), 144.1 (1C, Cq), 142.8 (1C, Cq), 131.7 (1C, CH), 131.4 (1C, CH), 131.0 (2C, CH), 130.9 (1C, CH), 130.8 (1C, Cq), 129.6 (1C, Cq), 129.4 (2C, CH), 129.1 (2C, CH), 123.6 (2C, CH), 117.7 (1C, CH), 52.6 (1C, CO2CH3), 52.4 (1C, CO2CH3).
DOI: 10.14272/vcvfpfprviocte-wcwdxbqesa-n/ea
title: EA (, InChI=1S/C22H18N2O4/c1-27-21(25)16-10-8-15(9-11-16)19-13-12-17(22(26)28-2)14-20(19)24-23-18-6-4-3-5-7-18/h3-14H,1-2H3/b24-23+)

description: dataset for EA
      
      EA (C22H18N2O4): Calcd. C 70.58; H 4.85; N 7.48. Found. C 70.12; H 4.78; N 7.17.
DOI: 10.14272/vcvfpfprviocte-wcwdxbqesa-n/ir
title: IR (, InChI=1S/C22H18N2O4/c1-27-21(25)16-10-8-15(9-11-16)19-13-12-17(22(26)28-2)14-20(19)24-23-18-6-4-3-5-7-18/h3-14H,1-2H3/b24-23+)

description: dataset for IR
      
      IR (ATR, ṽ) = 2956, 1731, 1717, 1605, 1432, 1280, 1238, 1187, 1102 cm–1.
DOI: 10.14272/vcvfpfprviocte-wcwdxbqesa-n/mass
title: Mass (, InChI=1S/C22H18N2O4/c1-27-21(25)16-10-8-15(9-11-16)19-13-12-17(22(26)28-2)14-20(19)24-23-18-6-4-3-5-7-18/h3-14H,1-2H3/b24-23+)

description: dataset for Mass
      
      EI (m/z, 70 eV, 120 °C): 374 (30) [M]+, 359 (23) [M–CH3]+, 343 (4) [M–OCH3]+, 315 (11) [M–CO2CH3]+, 270 (88) [MH–N=NC6H5]+, 239 (100) [MH–CO2CH3–N=NC6H5]+. HRMS–EI (m/z): [M]+ Calcd. for C22H18N2O4, 374.1267; Found. 374.1265.
DOI: 10.14272/vcvfpfprviocte-wcwdxbqesa-n/others
title: Others (, InChI=1S/C22H18N2O4/c1-27-21(25)16-10-8-15(9-11-16)19-13-12-17(22(26)28-2)14-20(19)24-23-18-6-4-3-5-7-18/h3-14H,1-2H3/b24-23+)

description: dataset for Others
      
      UV-VIS (CH2Cl2), λmax = 219, 280, 323, 452 nm.
DOI: 10.14455/isec.res.2019.191
title: SHEAR BEHAVIOR OF RC BEAMS STRENGTHENED WITH DIFFERENT TYPES OF FRCM: EFFECT OF STIRRUPS' CONFIGURATION

description: Fabric-reinforced cementitious matrix, FRCM, system has shown to be promising for the strengthening of reinforced concrete (RC) beams. However, the available experimental investigation on the shear strengthening efficacy of FRCM system is limited, particularly for deep beams. Moreover, to the authors' knowledge, no literature is available on the effect of the stirrups' configuration relative to the FRCM strips on the shear capacity of FRCM-strengthened beams. Studying this effect will aid in a better understanding of the FRCM/stirrups interaction. Thus, in this paper the experimental study on the shear behavior of RC deep beams strengthened in shear using FRCM system is presented. The test matrix involved two unstrengthened and six FRCM-strengthened deep beams tested under three-point bending. The primary test variable was the effect of stirrups' configuration relative to the FRCM strips. The other test variable includes the effect of different types of FRCM fabric (made of carbon, glass, and polyparaphenylene benzobisoxazole, PBO). Experimental results demonstrated an effective application of the FRCM in improving the load capacities of RC deep beams, up to 40.3% increase in the load capacity was achieved.
DOI: 10.18112/openneuro.ds001847.v1.0.1
title: A Probability Distribution over Latent Causes, in the Orbitofrontal Cortex
DOI: 10.5281/zenodo.2621856
title: Binary black-hole simulation SXS:BBH:0060

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.2622290
title: Binary black-hole simulation SXS:BBH:0238

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.2622360
title: Binary black-hole simulation SXS:BBH:0304

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.2622361
title: Binary black-hole simulation SXS:BBH:0293

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.6073/pasta/638fd6f6c7664c37dd3176b5e5107a93
title: Coweeta Hydrologic Laboratory and Basin Reference GIS data

description: Coweeta Basin reference GIS data that were either commissioned or produced by the USDA Forest Service Coweeta Hydrologic Laboratory or the Coweeta LTER starting in the late 1980s.
DOI: 10.5258/soton/d0863
title: External Sensor Electrode Size Tests for Capacitive Touch and Proximity Circuit for E-Textile applications

description: Dataset supports the thesis entitled 'Tailored Polydimethylsiloxane Circuit Encapsulation for Washable and Mechanically-Deformable Proximity and Touch Sensing Electronic Textiles for Wearables and Beyond' by Olivia Ojuroye.Data collected from four experiments determining the length, width, area, and sensing capacitance of the external sensory electrode to be attached to the capacitive proximity and touch sensing circuit developed in this PhD. This dataset hold data from four different experiments and based on a commercially-available dual-functionally capacitive proximity and touch sensing bare die.
DOI: 10.5281/zenodo.2621845
title: Binary black-hole simulation SXS:BBH:0108

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.2621849
title: Binary black-hole simulation SXS:BBH:0056

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.2621850
title: Binary black-hole simulation SXS:BBH:0059

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.2621851
title: Binary black-hole simulation SXS:BBH:0057

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.2621852
title: Binary black-hole simulation SXS:BBH:0062

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.2622263
title: Binary black-hole simulation SXS:BBH:0218

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.2622270
title: Binary black-hole simulation SXS:BBH:0222

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.2622293
title: Binary black-hole simulation SXS:BBH:0240

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.2622294
title: Binary black-hole simulation SXS:BBH:0241

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.2622355
title: Binary black-hole simulation SXS:BBH:0267

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.2622357
title: Binary black-hole simulation SXS:BBH:0259

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.2621836
title: Binary black-hole simulation SXS:BBH:0047

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.2621837
title: Binary black-hole simulation SXS:BBH:0109

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.2621841
title: Binary black-hole simulation SXS:BBH:0110

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.2621842
title: Binary black-hole simulation SXS:BBH:0112

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.2622354
title: Binary black-hole simulation SXS:BBH:0253

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.2621827
title: Binary black-hole simulation SXS:BBH:0049

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.2621828
title: Binary black-hole simulation SXS:BBH:0046

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.2622271
title: Binary black-hole simulation SXS:BBH:0223

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5517/ccdc.csd.cc20bpbd
title: CCDC 1857313: Experimental Crystal Structure Determination

description: Related Article: Kaiji Shen, Yael Diskin-Posner, Linda J. W. Shimon, Gregory Leitus, Raanan Carmieli, Ronny Neumann|2019|Dalton Trans.|48|6396|doi:10.1039/C9DT00828D
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.cc20bpcf
title: CCDC 1857314: Experimental Crystal Structure Determination

description: Related Article: Kaiji Shen, Yael Diskin-Posner, Linda J. W. Shimon, Gregory Leitus, Raanan Carmieli, Ronny Neumann|2019|Dalton Trans.|48|6396|doi:10.1039/C9DT00828D
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.cc20kf67
title: CCDC 1863788: Experimental Crystal Structure Determination

description: Related Article: Yang Xu, Min Wang, Donghui Wei, Rongqiang Tian, Zheng Duan, François Mathey|2019|Dalton Trans.|48|5523|doi:10.1039/C9DT00838A
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.cc2164dt
title: CCDC 1882735: Experimental Crystal Structure Determination

description: Related Article: Jun Ying, Ya-Guang Chen, Xiu-Yan Wang|2019|New J.Chem.|43|6765|doi:10.1039/C8NJ06367B
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.2621825
title: Binary black-hole simulation SXS:BBH:0050

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.2636585
title: TAU Moving Sound Events 2019 - Ambisonic, Anechoic, Synthetic IR and Moving Source Dataset

description: <strong>Tampere University (TAU) Moving Sound Events 2019 - Ambisonic, Anechoic and Synthetic Impulse Response (IR) and Moving Source Dataset</strong>

This dataset consists of simulated anechoic first order Ambisonic (FOA) format recordings with moving point sources each in 2D spherical space represented with azimuth and elevation angles. The dataset consists of three sub-datasets with a) maximum one temporally overlapping sound events, b) maximum two temporally overlapping sound events, and c) maximum three temporally overlapping sound events. Each of the sub-datasets has three cross-validation splits, that consists of 240 recordings of about 30 seconds long for training split and 60 recordings of the same length for the testing split. For each recording, the metadata file with the same name consists of the sound event name, the temporal onset and offset time (in seconds), starting spatial location and directional spatial location in azimuth and elevation angles (in degrees), angular velocity of motion, and distance from the microphone (in meters).

The isolated sound events were taken from the DCASE 2016 task 2 dataset. This dataset consists of 11 sound event classes such as Clearing throat, Coughing, Door knock, Door slam, Drawer, Human laughter, Keyboard, Keys (put on a table), Page turning, Phone ringing and Speech. Every event is assigned a spatial trajectory on an arc with a constant distance from the microphone (in the range 1-10 m) and moving with a constant angular velocity for its duration. Due to the choice of the ambisonic spatial recording format, the steering vectors for a plane wave source or point source in the far field are frequency-independent. Hence, there is no need for a time-variant convolution or impulse response interpolation scheme as the source is moving; the spatial encoding of the monophonic signal was done sample-by-sample using instantaneous ambisonic encoding vectors for the respective DOA of the moving source. The synthesized trajectories in the dataset vary in both azimuth and elevation and are simulated to have a constant angular velocity in the range [-90, 90]/s with 10-degree/s steps.

The license of the dataset can be found in the LICENSE file. The rest of the nine zip files consists of datasets for a given split and overlap. For example, the ov3_split1.zip file consists of the audio and metadata folders for the case of maximum three temporally overlapping sound events (ov3) and the first cross-validation split (split1). Within each audio/metadata folder, the filenames for training split have the 'train' prefix, while the testing split filenames have the 'test' prefix.

This dataset was collected as part of the 'Localization, Detection and Tracking of Multiple Moving Sound Sources with Convolutional Recurrent Neural Networks' work.
DOI: 10.5281/zenodo.2636586
title: TAU Moving Sound Events 2019 - Ambisonic, Anechoic, Synthetic IR and Moving Source Dataset

description: <strong>Tampere University (TAU) Moving Sound Events 2019 - Ambisonic, Anechoic and Synthetic Impulse Response (IR) and Moving Source Dataset</strong>

This dataset consists of simulated anechoic first order Ambisonic (FOA) format recordings with moving point sources each in 2D spherical space represented with azimuth and elevation angles. The dataset consists of three sub-datasets with a) maximum one temporally overlapping sound events, b) maximum two temporally overlapping sound events, and c) maximum three temporally overlapping sound events. Each of the sub-datasets has three cross-validation splits, that consists of 240 recordings of about 30 seconds long for training split and 60 recordings of the same length for the testing split. For each recording, the metadata file with the same name consists of the sound event name, the temporal onset and offset time (in seconds), starting spatial location and directional spatial location in azimuth and elevation angles (in degrees), angular velocity of motion, and distance from the microphone (in meters).

The isolated sound events were taken from the DCASE 2016 task 2 dataset. This dataset consists of 11 sound event classes such as Clearing throat, Coughing, Door knock, Door slam, Drawer, Human laughter, Keyboard, Keys (put on a table), Page turning, Phone ringing and Speech. Every event is assigned a spatial trajectory on an arc with a constant distance from the microphone (in the range 1-10 m) and moving with a constant angular velocity for its duration. Due to the choice of the ambisonic spatial recording format, the steering vectors for a plane wave source or point source in the far field are frequency-independent. Hence, there is no need for a time-variant convolution or impulse response interpolation scheme as the source is moving; the spatial encoding of the monophonic signal was done sample-by-sample using instantaneous ambisonic encoding vectors for the respective DOA of the moving source. The synthesized trajectories in the dataset vary in both azimuth and elevation and are simulated to have a constant angular velocity in the range [-90, 90]/s with 10-degree/s steps.

The license of the dataset can be found in the LICENSE file. The rest of the nine zip files consists of datasets for a given split and overlap. For example, the ov3_split1.zip file consists of the audio and metadata folders for the case of maximum three temporally overlapping sound events (ov3) and the first cross-validation split (split1). Within each audio/metadata folder, the filenames for training split have the 'train' prefix, while the testing split filenames have the 'test' prefix.

This dataset was collected as part of the 'Localization, Detection and Tracking of Multiple Moving Sound Sources with Convolutional Recurrent Neural Networks' work.
DOI: 10.5517/ccdc.csd.cc20bpdg
title: CCDC 1857315: Experimental Crystal Structure Determination

description: Related Article: Kaiji Shen, Yael Diskin-Posner, Linda J. W. Shimon, Gregory Leitus, Raanan Carmieli, Ronny Neumann|2019|Dalton Trans.|48|6396|doi:10.1039/C9DT00828D
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.cc20bpgj
title: CCDC 1857317: Experimental Crystal Structure Determination

description: Related Article: Kaiji Shen, Yael Diskin-Posner, Linda J. W. Shimon, Gregory Leitus, Raanan Carmieli, Ronny Neumann|2019|Dalton Trans.|48|6396|doi:10.1039/C9DT00828D
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.cc20bphk
title: CCDC 1857318: Experimental Crystal Structure Determination

description: Related Article: Kaiji Shen, Yael Diskin-Posner, Linda J. W. Shimon, Gregory Leitus, Raanan Carmieli, Ronny Neumann|2019|Dalton Trans.|48|6396|doi:10.1039/C9DT00828D
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.cc2164hx
title: CCDC 1882738: Experimental Crystal Structure Determination

description: Related Article: Kaiji Shen, Yael Diskin-Posner, Linda J. W. Shimon, Gregory Leitus, Raanan Carmieli, Ronny Neumann|2019|Dalton Trans.|48|6396|doi:10.1039/C9DT00828D
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.cc2164jy
title: CCDC 1882739: Experimental Crystal Structure Determination

description: Related Article: Kaiji Shen, Yael Diskin-Posner, Linda J. W. Shimon, Gregory Leitus, Raanan Carmieli, Ronny Neumann|2019|Dalton Trans.|48|6396|doi:10.1039/C9DT00828D
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.cc2164kz
title: CCDC 1882740: Experimental Crystal Structure Determination

description: Related Article: Kaiji Shen, Yael Diskin-Posner, Linda J. W. Shimon, Gregory Leitus, Raanan Carmieli, Ronny Neumann|2019|Dalton Trans.|48|6396|doi:10.1039/C9DT00828D
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.cc2164l0
title: CCDC 1882741: Experimental Crystal Structure Determination

description: Related Article: Kaiji Shen, Yael Diskin-Posner, Linda J. W. Shimon, Gregory Leitus, Raanan Carmieli, Ronny Neumann|2019|Dalton Trans.|48|6396|doi:10.1039/C9DT00828D
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.2621810
title: Binary black-hole simulation SXS:BBH:0039

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.2621811
title: Binary black-hole simulation SXS:BBH:0035

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.2621821
title: Binary black-hole simulation SXS:BBH:0036

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.2622295
title: Binary black-hole simulation SXS:BBH:0242

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.2622299
title: Binary black-hole simulation SXS:BBH:0245

description: Simulation of a black-hole binary system evolved by the SpEC code.