cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.14457/cu.the.2014.1517
title: Electrical conductivity response of Poly(P-phenylene vinylene)/zeolite composites exposed to flammable solvents
DOI: 10.14457/cu.the.2014.1518
title: Design and synthesis of multifunctional chitosan from water-based reaction system for potentially biomedical materials
DOI: 10.14457/cu.the.2014.1519
title: Polydiphenylamine/Zeolite Y composites and electrical conductivity response toward halogenated hydrocarbons
DOI: 10.14457/cu.the.2014.1520
title: The effect of ozone treatment on activated carbon for methane adsorption
DOI: 10.14457/cu.the.2014.1521
title: Electrospun fibrous and solvent-cast film scaffolds for tissue engineering addlicatin
DOI: 10.6084/m9.figshare.17605336
title: Investigation of the Fungal Diversity of the Federated States of Micronesia and the Construction of an Updated Fungal Inventory

description: The Federated States of Micronesia (FSM) is an island country in the western Pacific and is a known biodiversity hotspot. However, a relatively small number of fungi (236 species) have been reported till July 2021. Since fungi play major ecological roles in ecosystems, we investigated the fungal diversity of FSM from various sources over 2016 and 2017 and constructed a local fungal inventory, which also included the previously reported species. Fruiting bodies were collected from various host trees and fungal strains were isolated from marine and terrestrial environments. A total of 99 species, of which 78 were newly reported in the FSM, were identified at the species level using a combination of molecular and morphological approaches. Many fungal species were specific to the environment, host, or source. Upon construction of the fungal inventory, 314 species were confirmed to reside in the FSM. This inventory will serve as an important basis for monitoring fungal diversity and identifying novel biological resources in FSM.
DOI: 10.6084/m9.figshare.17605336.v1
title: Investigation of the Fungal Diversity of the Federated States of Micronesia and the Construction of an Updated Fungal Inventory

description: The Federated States of Micronesia (FSM) is an island country in the western Pacific and is a known biodiversity hotspot. However, a relatively small number of fungi (236 species) have been reported till July 2021. Since fungi play major ecological roles in ecosystems, we investigated the fungal diversity of FSM from various sources over 2016 and 2017 and constructed a local fungal inventory, which also included the previously reported species. Fruiting bodies were collected from various host trees and fungal strains were isolated from marine and terrestrial environments. A total of 99 species, of which 78 were newly reported in the FSM, were identified at the species level using a combination of molecular and morphological approaches. Many fungal species were specific to the environment, host, or source. Upon construction of the fungal inventory, 314 species were confirmed to reside in the FSM. This inventory will serve as an important basis for monitoring fungal diversity and identifying novel biological resources in FSM.
DOI: 10.6084/m9.figshare.17607650
title: Lijiang River basin date

description: These file folders include the original Excel data, SPSS results and GIS files for all the tables and figures of the paper entitled “Ecological Horton’s Laws of Biodiversity Metrics”.
DOI: 10.6084/m9.figshare.17612105
title: Data of rhizospheric C.xlsx

description: The rhizospheric carbon (C), as the most sensitive terrestrial C, has been considered an essential link between atmospheric, plant, and soil material circulation. However, the spatial patterns and driving factors of rhizosphere effect on soil C still lack systematic quantification, especially for the global agroecosystem. With 748, 294, and 695 paired data of soil organic carbon (SOC), dissolved organic carbon (DOC), and soil microbial biomass carbon (SMBC) from 154 target literature, together with 25 biotic and abiotic variables across global agro-ecosystem, the rhizosphere significantly increased SOC, DOC, and SMBC by 7.03%, 34.59%, and 26.09% compared with bulk soil, respectively. The rhizosphere effect on SOC and DOC was significant differences under various climate zone, aridity indexes, and crop types, but this phenomenon did not occur in SMBC. In addition to aridity index, crop types, initial soil C, and soil pH, soil available nutrients dominantly regulated the rhizospheric SOC, while SMBC played a small role in regulating the rhizospheric DOC. Path analysis showed a network of inter-correlation of climate, soil physicochemical properties, and SMBC in determining the rhizosphere effect on SOC and DOC. Understanding the mechanism of rhizospheric C accumulation is of theoretical significance for accurately forecasting soil C dynamics and promoting plant production efficiency by regulating soil C and nutrients cycling in the global agro-ecosystem.
DOI: 10.6084/m9.figshare.17612105.v1
title: Data of rhizospheric C.xlsx

description: The rhizospheric carbon (C), as the most sensitive terrestrial C, has been considered an essential link between atmospheric, plant, and soil material circulation. However, the spatial patterns and driving factors of rhizosphere effect on soil C still lack systematic quantification, especially for the global agroecosystem. With 748, 294, and 695 paired data of soil organic carbon (SOC), dissolved organic carbon (DOC), and soil microbial biomass carbon (SMBC) from 154 target literature, together with 25 biotic and abiotic variables across global agro-ecosystem, the rhizosphere significantly increased SOC, DOC, and SMBC by 7.03%, 34.59%, and 26.09% compared with bulk soil, respectively. The rhizosphere effect on SOC and DOC was significant differences under various climate zone, aridity indexes, and crop types, but this phenomenon did not occur in SMBC. In addition to aridity index, crop types, initial soil C, and soil pH, soil available nutrients dominantly regulated the rhizospheric SOC, while SMBC played a small role in regulating the rhizospheric DOC. Path analysis showed a network of inter-correlation of climate, soil physicochemical properties, and SMBC in determining the rhizosphere effect on SOC and DOC. Understanding the mechanism of rhizospheric C accumulation is of theoretical significance for accurately forecasting soil C dynamics and promoting plant production efficiency by regulating soil C and nutrients cycling in the global agro-ecosystem.
DOI: 10.6084/m9.figshare.11320124
title: Data: The specificity and reliability of conflict adaptation: A mouse-tracking study

description: Raw data, means, pivot tables, and Stroop and Flanker files used for the Mousetracker program (Freeman & Ambady, 2010) in the following paper:<br>Grundy, J.G. The specificity and reliability of conflict adaptation: A mouse-tracking study. <i>Frontiers in Psychology</i>, 12:770509.<br>doi: 10.3389/fpsyg.2021.770509
DOI: 10.5281/zenodo.5804079
title: Dataset - Swarm of Micro Flying Robots in the Wild

description: Dataset for manuscripts "Swarm of Micro Flying Robots in the Wild". The file "data_benchmark.zip" contains data files of the simulation and real-world experiments of the manuscript: "Swarm of Micro Flying Robots in the Wild". And it also contains MATLAB scripts to recreate the plots and graphs as presented in the manuscript.<br> Please see [data_out/ReadMe.txt] for code usage. The file "hardware.zip" contains PCB files and mechanical drawings of our micro flying robots. The file "realworldflight_software.zip" contains the source code of object detection and localization drift correction used in real-world experiments.<br>
DOI: 10.5281/zenodo.5804078
title: Dataset - Swarm of Micro Flying Robots in the Wild

description: Dataset for manuscripts "Swarm of Micro Flying Robots in the Wild". The file "data_benchmark.zip" contains data files of the simulation and real-world experiments of the manuscript: "Swarm of Micro Flying Robots in the Wild". And it also contains MATLAB scripts to recreate the plots and graphs as presented in the manuscript.<br> Please see [data_out/ReadMe.txt] for code usage. The file "hardware.zip" contains PCB files and mechanical drawings of our micro flying robots. The file "realworldflight_software.zip" contains the source code of object detection and localization drift correction used in real-world experiments.<br>
DOI: 10.5281/zenodo.5802531
title: A mechanism for the strange metal phase in rare-earth inter-metallic compounds

description: Codes and numerical data for each Figure created for the study in Jiangfan Wang, et al., <em>A mechanism for the strange metal phase in rare-earth inter-metallic compounds </em>and its supporting information.
DOI: 10.6084/m9.figshare.16419771
title: Supplementary material for: Sedimentary response to current and nutrient regime rearrangement in the Eastern Mediterranean Realm during the early to middle Miocene (southwestern Cyprus)

description: Supplement 1: additional photomicrographs<br>Supplumnet 2: raw data for bulk stable isotopes and organic carbon contentSupplumnet 3: Occurance chart for nannofossils used for biostratigraphy
DOI: 10.6084/m9.figshare.16419771.v1
title: Supplementary material for: Sedimentary response to current and nutrient regime rearrangement in the Eastern Mediterranean Realm during the early to middle Miocene (southwestern Cyprus)

description: Supplement 1: additional photomicrographs<br>Supplumnet 2: raw data for bulk stable isotopes and organic carbon contentSupplumnet 3: Occurance chart for nannofossils used for biostratigraphy
DOI: 10.14272/abjfbjggljvmaq-uhfffaoysa-n/chmo0000630.2
title: infrared absorption spectroscopy (IR) (1,4-dihydroquinoxaline-2,3-dione)
title: InChI=1S/C8H6N2O2/c11-7-8(12)10-6-4-2-1-3-5(6)9-7/h1-4H,(H,9,11)(H,10,12)

description: dataset for infrared absorption spectroscopy (IR) IR (ATR, ṽ) = 3155, 3108, 3077, 3043, 3033, 2962, 2919, 2873, 2774, 2751, 2728, 2674, 1849, 1771, 1703, 1667, 1608, 1592, 1499, 1470, 1418, 1388, 1332, 1310, 1245, 1201, 1162, 1125, 1085, 1031, 983, 960, 943, 928, 898, 853, 832, 751, 720, 700, 637, 578, 555, 465, 458, 391 cm–1.
DOI: 10.14272/abjfbjggljvmaq-uhfffaoysa-n/chmo0000596
title: distortionless enhancement with polarization transfer (DEPT) (1,4-dihydroquinoxaline-2,3-dione)
title: InChI=1S/C8H6N2O2/c11-7-8(12)10-6-4-2-1-3-5(6)9-7/h1-4H,(H,9,11)(H,10,12)

description: dataset for distortionless enhancement with polarization transfer (DEPT)
DOI: 10.14272/abjfbjggljvmaq-uhfffaoysa-n.3
title: 1,4-dihydroquinoxaline-2,3-dione
title: InChI=1S/C8H6N2O2/c11-7-8(12)10-6-4-2-1-3-5(6)9-7/h1-4H,(H,9,11)(H,10,12)

description: This dataset contains experimental data from a sample (1,4-dihydroquinoxaline-2,3-dione, InChI=1S/C8H6N2O2/c11-7-8(12)10-6-4-2-1-3-5(6)9-7/h1-4H,(H,9,11)(H,10,12)). The datasets from the following experiments are available: mass spectrometry (MS) infrared absorption spectroscopy (IR) 1H nuclear magnetic resonance spectroscopy (1H NMR) 13C nuclear magnetic resonance spectroscopy (13C NMR) distortionless enhancement with polarization transfer (DEPT) distortionless enhancement with polarization transfer (DEPT)
DOI: 10.14272/abjfbjggljvmaq-uhfffaoysa-n/chmo0000593.2
title: 1H nuclear magnetic resonance spectroscopy (1H NMR) (1,4-dihydroquinoxaline-2,3-dione)
title: InChI=1S/C8H6N2O2/c11-7-8(12)10-6-4-2-1-3-5(6)9-7/h1-4H,(H,9,11)(H,10,12)

description: dataset for 1H nuclear magnetic resonance spectroscopy (1H NMR) 1H NMR (400 MHz, DMSO-d6, ppm) δ = 11.90 (s, 2H, NH), 7.17–7.10 (m, 2H, CHar), 7.10–7.02 (m, 2H, CHar).Impurities (ppm): 3.38 (water from DMSO).
DOI: 10.14272/abjfbjggljvmaq-uhfffaoysa-n/chmo0000596.1
title: distortionless enhancement with polarization transfer (DEPT) (1,4-dihydroquinoxaline-2,3-dione)
title: InChI=1S/C8H6N2O2/c11-7-8(12)10-6-4-2-1-3-5(6)9-7/h1-4H,(H,9,11)(H,10,12)

description: dataset for distortionless enhancement with polarization transfer (DEPT)
DOI: 10.14272/abjfbjggljvmaq-uhfffaoysa-n/chmo0000470.3
title: mass spectrometry (MS) (1,4-dihydroquinoxaline-2,3-dione)
title: InChI=1S/C8H6N2O2/c11-7-8(12)10-6-4-2-1-3-5(6)9-7/h1-4H,(H,9,11)(H,10,12)

description: dataset for mass spectrometry (MS) MS (EI, 70 eV, 220 °C), m/z (%): 162 (100) [M]+, 134 (51), 106 (43), 105 (15), 79 (16).HRMS–EI (m/z): [M]+ calcd for C8H6O2N2 162.0424; found 162.0425.
DOI: 10.14272/abjfbjggljvmaq-uhfffaoysa-n/chmo0000595.2
title: 13C nuclear magnetic resonance spectroscopy (13C NMR) (1,4-dihydroquinoxaline-2,3-dione)
title: InChI=1S/C8H6N2O2/c11-7-8(12)10-6-4-2-1-3-5(6)9-7/h1-4H,(H,9,11)(H,10,12)

description: dataset for 13C nuclear magnetic resonance spectroscopy (13C NMR) 13C NMR (101 MHz, DMSO-d6, ppm) δ = 155.18 (Cq, 2C), 125.60 (Cq, 2C), 123.00 (CHar, 2C), 115.13 (CHar, 2C).
DOI: 10.5517/ccdc.csd.cc27qqnc
title: CCDC 2077423: Experimental Crystal Structure Determination

description: Related Article: Biplab Keshari Pandia, Sandip Pattanaik, Chidambaram Gunanathan|2021|J.Org.Chem.|86|17848|doi:10.1021/acs.joc.1c02132
DOI: 10.5517/ccdc.csd.cc27qqpd
title: CCDC 2077424: Experimental Crystal Structure Determination

description: Related Article: Biplab Keshari Pandia, Sandip Pattanaik, Chidambaram Gunanathan|2021|J.Org.Chem.|86|17848|doi:10.1021/acs.joc.1c02132
DOI: 10.5517/ccdc.csd.cc27qqqf
title: CCDC 2077425: Experimental Crystal Structure Determination

description: Related Article: Biplab Keshari Pandia, Sandip Pattanaik, Chidambaram Gunanathan|2021|J.Org.Chem.|86|17848|doi:10.1021/acs.joc.1c02132
DOI: 10.5517/ccdc.csd.cc27zwvz
title: CCDC 2085272: Experimental Crystal Structure Determination

description: Related Article: Viraj A. Bhosale, Martin Nigríni, Martin Dračínský, Ivana Císařová, Jan Veselý|2021|Org.Lett.|23|9376|doi:10.1021/acs.orglett.1c03419
DOI: 10.5517/ccdc.csd.cc2802t6
title: CCDC 2085457: Experimental Crystal Structure Determination

description: Related Article: Anish Kumar Das, Roopesh Mekkat, Subarna Maity, Akhil S. Nair, Subhrajyoti Bhandary, Rohit Bhowal, Amitava Patra, Biswarup Pathak, Deepak Chopra, Sukhendu Mandal|2021|Inorg.Chem.|60|19270|doi:10.1021/acs.inorgchem.1c03083
DOI: 10.5517/ccdc.csd.cc2802w8
title: CCDC 2085459: Experimental Crystal Structure Determination

description: Related Article: Anish Kumar Das, Roopesh Mekkat, Subarna Maity, Akhil S. Nair, Subhrajyoti Bhandary, Rohit Bhowal, Amitava Patra, Biswarup Pathak, Deepak Chopra, Sukhendu Mandal|2021|Inorg.Chem.|60|19270|doi:10.1021/acs.inorgchem.1c03083
DOI: 10.5517/ccdc.csd.cc28cl4d
title: CCDC 2096503: Experimental Crystal Structure Determination

description: Related Article: Junya Kanda, Naoki Egami, Takahiro Sasamori, Ayumi Imayoshi, Takashi Hosoya, Kazunori Tsubaki|2021|J.Org.Chem.|86|17620|doi:10.1021/acs.joc.1c01726
description: Related Article: Kazunori Tsubaki|2021|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc28cl5f
title: CCDC 2096504: Experimental Crystal Structure Determination

description: Related Article: Junya Kanda, Naoki Egami, Takahiro Sasamori, Ayumi Imayoshi, Takashi Hosoya, Kazunori Tsubaki|2021|J.Org.Chem.|86|17620|doi:10.1021/acs.joc.1c01726
description: Related Article: Kazunori Tsubaki|2021|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc28cl6g
title: CCDC 2096505: Experimental Crystal Structure Determination

description: Related Article: Junya Kanda, Naoki Egami, Takahiro Sasamori, Ayumi Imayoshi, Takashi Hosoya, Kazunori Tsubaki|2021|J.Org.Chem.|86|17620|doi:10.1021/acs.joc.1c01726
description: Related Article: Kazunori Tsubaki|2021|CSD Communication|||
DOI: 10.14272/spssddotezkoov-uhfffaoysa-n/chmo0000630.3
title: infrared absorption spectroscopy (IR) (2,3-dichloroquinoxaline)
title: InChI=1S/C8H4Cl2N2/c9-7-8(10)12-6-4-2-1-3-5(6)11-7/h1-4H

description: dataset for infrared absorption spectroscopy (IR) IR (ATR, ṽ) = 3104, 3040, 3002, 2955, 2942, 2922, 2851, 1956, 1846, 1734, 1649, 1608, 1582, 1555, 1530, 1483, 1456, 1388, 1344, 1296, 1266, 1242, 1207, 1176, 1116, 1037, 1018, 1006, 987, 967, 885, 790, 785, 764, 707, 647, 596, 558, 538, 524, 492, 467, 453, 435, 402, 377 cm–1.
DOI: 10.14272/spssddotezkoov-uhfffaoysa-n/chmo0000470.4
title: mass spectrometry (MS) (2,3-dichloroquinoxaline)
title: InChI=1S/C8H4Cl2N2/c9-7-8(10)12-6-4-2-1-3-5(6)11-7/h1-4H

description: dataset for mass spectrometry (MS) MS (EI, 70 eV, 30 °C), m/z (%): 202/200/198 (10/61/100) [M]+, 165 (19), 163 (64), 102 (36).HRMS–EI (m/z): [M]+ calcd for C8H4N235Cl2 197.9746; found 197.9747.
DOI: 10.14272/spssddotezkoov-uhfffaoysa-n/chmo0000596.1
title: distortionless enhancement with polarization transfer (DEPT) (2,3-dichloroquinoxaline)
title: InChI=1S/C8H4Cl2N2/c9-7-8(10)12-6-4-2-1-3-5(6)11-7/h1-4H

description: dataset for distortionless enhancement with polarization transfer (DEPT)
DOI: 10.14272/spssddotezkoov-uhfffaoysa-n/chmo0000595.3
title: 13C nuclear magnetic resonance spectroscopy (13C NMR) (2,3-dichloroquinoxaline)
title: InChI=1S/C8H4Cl2N2/c9-7-8(10)12-6-4-2-1-3-5(6)11-7/h1-4H

description: dataset for 13C nuclear magnetic resonance spectroscopy (13C NMR) 13C NMR (101 MHz, CDCl3, ppm) δ = 145.5 (2C, Cq), 140.7 (2C, Cq), 131.3 (2C, CHar), 128.3 (2C, CHar).
DOI: 10.14272/spssddotezkoov-uhfffaoysa-n/chmo0000596
title: distortionless enhancement with polarization transfer (DEPT) (2,3-dichloroquinoxaline)
title: InChI=1S/C8H4Cl2N2/c9-7-8(10)12-6-4-2-1-3-5(6)11-7/h1-4H

description: dataset for distortionless enhancement with polarization transfer (DEPT)
DOI: 10.14272/spssddotezkoov-uhfffaoysa-n.4
title: 2,3-dichloroquinoxaline
title: InChI=1S/C8H4Cl2N2/c9-7-8(10)12-6-4-2-1-3-5(6)11-7/h1-4H

description: This dataset contains experimental data from a sample (2,3-dichloroquinoxaline, InChI=1S/C8H4Cl2N2/c9-7-8(10)12-6-4-2-1-3-5(6)11-7/h1-4H). The datasets from the following experiments are available: 1H nuclear magnetic resonance spectroscopy (1H NMR) 13C nuclear magnetic resonance spectroscopy (13C NMR) distortionless enhancement with polarization transfer (DEPT) distortionless enhancement with polarization transfer (DEPT) mass spectrometry (MS) infrared absorption spectroscopy (IR)
DOI: 10.14272/spssddotezkoov-uhfffaoysa-n/chmo0000593.3
title: 1H nuclear magnetic resonance spectroscopy (1H NMR) (2,3-dichloroquinoxaline)
title: InChI=1S/C8H4Cl2N2/c9-7-8(10)12-6-4-2-1-3-5(6)11-7/h1-4H

description: dataset for 1H nuclear magnetic resonance spectroscopy (1H NMR) 1H NMR (400 MHz, CDCl3, ppm) δ = 8.04–7.97 (m, 2H, CHar), 7.82–7.76 (m, 2H, CHar).Impurities (ppm): 5.29 (DCM), 1.67 (water).
DOI: 10.14272/pxdluylwpjmgja-uhfffaoysa-n/chmo0000595.2
title: 13C nuclear magnetic resonance spectroscopy (13C NMR) (2-chloro-3-methylquinoxaline)
title: InChI=1S/C9H7ClN2/c1-6-9(10)12-8-5-3-2-4-7(8)11-6/h2-5H,1H3

description: dataset for 13C nuclear magnetic resonance spectroscopy (13C NMR) 13C NMR (101 MHz, CDCl3, ppm) δ = 152.8 (CHq), 147.9 (CHq), 141.0 (CHq), 140.9 (CHq), 130.1 (CHar), 130.0 (CHar), 128.5 (CHar), 128.2 (CHar), 23.4 (CH3).
DOI: 10.14272/pxdluylwpjmgja-uhfffaoysa-n.3
title: 2-chloro-3-methylquinoxaline
title: InChI=1S/C9H7ClN2/c1-6-9(10)12-8-5-3-2-4-7(8)11-6/h2-5H,1H3

description: This dataset contains experimental data from a sample (2-chloro-3-methylquinoxaline, InChI=1S/C9H7ClN2/c1-6-9(10)12-8-5-3-2-4-7(8)11-6/h2-5H,1H3). The datasets from the following experiments are available: 1H nuclear magnetic resonance spectroscopy (1H NMR) 13C nuclear magnetic resonance spectroscopy (13C NMR) distortionless enhancement with polarization transfer (DEPT) distortionless enhancement with polarization transfer (DEPT) mass spectrometry (MS) infrared absorption spectroscopy (IR)
DOI: 10.14272/pxdluylwpjmgja-uhfffaoysa-n/chmo0000596.1
title: distortionless enhancement with polarization transfer (DEPT) (2-chloro-3-methylquinoxaline)
title: InChI=1S/C9H7ClN2/c1-6-9(10)12-8-5-3-2-4-7(8)11-6/h2-5H,1H3

description: dataset for distortionless enhancement with polarization transfer (DEPT)
DOI: 10.14272/pxdluylwpjmgja-uhfffaoysa-n/chmo0000470.3
title: mass spectrometry (MS) (2-chloro-3-methylquinoxaline)
title: InChI=1S/C9H7ClN2/c1-6-9(10)12-8-5-3-2-4-7(8)11-6/h2-5H,1H3

description: dataset for mass spectrometry (MS) MS (EI, 70 eV, 30 °C), m/z (%): 180/178 (14/47) [M]+, 143 (100), 102 (22).HRMS–EI (m/z): [M]+ calcd for C9H7N235Cl1 178.0292; found 178.0293.
DOI: 10.14272/pxdluylwpjmgja-uhfffaoysa-n/chmo0000630.2
title: infrared absorption spectroscopy (IR) (2-chloro-3-methylquinoxaline)
title: InChI=1S/C9H7ClN2/c1-6-9(10)12-8-5-3-2-4-7(8)11-6/h2-5H,1H3

description: dataset for infrared absorption spectroscopy (IR) IR (ATR, ṽ) = 3055, 3033, 3009, 2961, 2917, 1969, 1938, 1826, 1713, 1608, 1562, 1516, 1483, 1466, 1429, 1384, 1341, 1317, 1290, 1245, 1205, 1143, 1126, 1034, 1003, 986, 962, 894, 870, 805, 789, 755, 703, 684, 592, 540, 518, 490, 462, 428 cm–1.
DOI: 10.14272/pxdluylwpjmgja-uhfffaoysa-n/chmo0000593.2
title: 1H nuclear magnetic resonance spectroscopy (1H NMR) (2-chloro-3-methylquinoxaline)
title: InChI=1S/C9H7ClN2/c1-6-9(10)12-8-5-3-2-4-7(8)11-6/h2-5H,1H3

description: dataset for 1H nuclear magnetic resonance spectroscopy (1H NMR) 1H NMR (400 MHz, CDCl3, ppm) δ = 7.99–7.94 (m, 1H, CHar), 7.94–7.88 (m, 1H, CHar), 7.71 –7.63 (m, 2H, CHar), 2.78 (s, 3H, CH3).
DOI: 10.14272/pxdluylwpjmgja-uhfffaoysa-n/chmo0000596
title: distortionless enhancement with polarization transfer (DEPT) (2-chloro-3-methylquinoxaline)
title: InChI=1S/C9H7ClN2/c1-6-9(10)12-8-5-3-2-4-7(8)11-6/h2-5H,1H3

description: dataset for distortionless enhancement with polarization transfer (DEPT)
DOI: 10.34740/kaggle/dsv/2967446
title: AutoXGB
DOI: 10.5281/zenodo.5804204
title: A multi-uncertainty-set-based robust transmission expansion planning model using an efficient linear AC network

description: The file uploaded provides input data for the paper "A multi-uncertainty-set-based robust transmission expansion planning model using an efficient linear AC network".
DOI: 10.5281/zenodo.5804203
title: A multi-uncertainty-set-based robust transmission expansion planning model using an efficient linear AC network

description: The file uploaded provides input data for the paper "A multi-uncertainty-set-based robust transmission expansion planning model using an efficient linear AC network".
DOI: 10.6084/m9.figshare.16767220.v2
title: Supplementary Materials: High-frequency turbulent fluctuations promote elastin fatigue degradation and aortic lumen dilatation in swine

description: Supplementary Materials: High-frequency turbulent fluctuations promote elastin fatigue degradation and aortic lumen dilatation in swine
DOI: 10.34740/kaggle/dsv/2967515
title: Omicron daily cases by country (COVID-19 variant)
DOI: 10.5281/zenodo.5803592
title: Generated RGBD Tracking Benchmarks (Got10K) 6701-7200

description: We convert the existing RGB tracking benchmakrs, eg. Got10K, to RGB+pseudo-Depth tracking benchmarks using DenseDepth or HighResDepth monocular estimation methods. Please visit the Got10K page for the RGB images and the groundtruths.
DOI: 10.5281/zenodo.5803591
title: Generated RGBD Tracking Benchmarks (Got10K) 6701-7200

description: We convert the existing RGB tracking benchmakrs, eg. Got10K, to RGB+pseudo-Depth tracking benchmarks using DenseDepth or HighResDepth monocular estimation methods. Please visit the Got10K page for the RGB images and the groundtruths.
DOI: 10.5281/zenodo.5803600
title: Generated RGBD Tracking Benchmarks (Got10K) 7201-7600

description: We convert the existing RGB tracking benchmakrs, eg. Got10K, to RGB+pseudo-Depth tracking benchmarks using DenseDepth or HighResDepth monocular estimation methods. Please visit the Got10K page for the RGB images and the groundtruths.
DOI: 10.5281/zenodo.5803599
title: Generated RGBD Tracking Benchmarks (Got10K) 7201-7600

description: We convert the existing RGB tracking benchmakrs, eg. Got10K, to RGB+pseudo-Depth tracking benchmarks using DenseDepth or HighResDepth monocular estimation methods. Please visit the Got10K page for the RGB images and the groundtruths.
DOI: 10.5281/zenodo.5803604
title: Generated RGBD Tracking Benchmarks (Got10K) 7601-8000

description: We convert the existing RGB tracking benchmakrs, eg. Got10K, to RGB+pseudo-Depth tracking benchmarks using DenseDepth or HighResDepth monocular estimation methods. Please visit the Got10K page for the RGB images and the groundtruths.